diff --git a/employerExport.csv b/employerExport.csv index 978aead..f8ccbdb 100644 --- a/employerExport.csv +++ b/employerExport.csv @@ -39,7 +39,7 @@ your existing analytics and AI investments.

-
",1 (416) 641-5290,https://talenthub.vectorinstitute.ai/employers/294575-accenture,https://www.accenture.com/ca-en/careers,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/294575/Acc_Logo_Black_Purple_RGB.PNG,https://jobboardio.s3.amazonaws.com/uploads/employer/hero/294575/Co-working_space.PNG,,F3CrdFBYWSs,"Toronto, ON, Canada","40 King St. West, ",Toronto,Ontario,,Canada,2019-09-25 21:22:36 UTC,1,,Yes,Professional Services (e.g Consulting),Platinum Industry Sponsor +
",1 (416) 641-5290,https://talenthub.vectorinstitute.ai/employers/294575-accenture,https://www.accenture.com/ca-en/careers,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/294575/Acc_Logo_Black_Purple_RGB.PNG,https://jobboardio.s3.amazonaws.com/uploads/employer/hero/294575/Co-working_space.PNG,,F3CrdFBYWSs,"Toronto, ON, Canada","40 King St. West, ",Toronto,Ontario,,Canada,2019-09-25 21:22:36 UTC,2,,Yes,Professional Services (e.g Consulting),Platinum Industry Sponsor 945023b8-a127-4842-bda7-c41079e5c079,alowndes@acerta.ca,Acerta Analytics Solutions,"

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

",4162754288,https://talenthub.vectorinstitute.ai/employers/652028-acerta-analytics-solutions,,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/652028/Acerta_logo-black.png,,,,"Kitchener, Ontario, Canada","30 Duke Street West, Suite 605",Kitchener,Ontario,,Canada,2020-12-24 13:36:52 UTC,0,,Yes,Technology (Information and Media),Startup 3fc8e0cf-ac91-4b8f-969c-93976ed39598,evan.ries@achievers.com,Achievers,"

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

",888-622-3343,https://talenthub.vectorinstitute.ai/employers/710416-achievers,https://www.achievers.com,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/710416/Achievers_Logo_CMYK_A.jpg,,,,"Toronto, ON, Canada",99 Atlantic Ave.,Toronto,Ontario,,Canada,2021-02-24 19:59:49 UTC,0,Too large - over 600 employees,No,Technology (Information and Media),Not Affiliated addb80de-21d1-4590-90b5-56e65aefaaa0,info@ada.cx,Ada,"

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

@@ -152,7 +152,7 @@ ethical, and efficient governance of AI.

",4167097210,https://talenthub.vecto a50c5df6-cc30-49b9-a360-ffa8c873faad,kevin.maclaren@partners.basf.com,BASF,,647-444-6807,https://talenthub.vectorinstitute.ai/employers/845217-basf,http://www.basf.com,https://talenthub.vectorinstitute.ai/assets/main/employer/fallback/default-fa2f9950be6d195ce129d791e68531fbaf632949d1549f523363dbe7944dfaea.png,,,,"Mississauga, ON, Canada",100 Milverton Dr.,Mississauga,Ontario,,Canada,2021-07-05 18:25:24 UTC,0,Chemical company with thousands of employees. Not eligible to post.,No,Manufacturing,Not Affiliated 22576def-5171-43be-967c-36ed9f796976,tom@beit.tech,BEIT Canada,"

We are a quantum computing software R&D company.

We develop novel quantum algorithms and their implementations with the aim of pushing the boundary of what is possible on quantum hardware at any given time. Thus we work on both practical software engineering within limits imposed by currently available quantum hardware as well as on speeding up theoretical algorithms giving us the edge wherever advances in hardware may take us. Our solutions offer to bring useful applications of quantum computers not only sooner but with greater reliability and speed.

",,https://talenthub.vectorinstitute.ai/employers/1739372-beit-canada,https://beit.tech/,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/1739372/beit_.png,https://jobboardio.s3.amazonaws.com/uploads/employer/hero/1739372/quantum-computer-1571871052-Shutterstock_Bartlomiej-K-Wroblewski.jpg,,,,,,,,,2023-02-11 16:45:04 UTC,0,They are a startup that is looking to scale in Canada. Also have a presence in Poland.,Yes,Health,Startup -0b7f4e20-6aa6-4bfb-a6d3-99bb15d314dc,manveer.singh@bell.ca,Bell Canada,"

Canada's communications leader for 142 years, Bell continues to transform itself to provide more value to its customers and shareholders. Our goal is to advance how Canadians connect with each other and the world. To achieve it, we rely on the efforts, engagement and expertise of our employees. Our 50,000+ team members are located across Canada, working in thousands of locations in urban and rural areas. Our diverse team is made up of individuals who are highly skilled in a broad range of jobs, working in an environment designed to nurture an engaged workforce and a performance-driven culture. We focus on attracting, developing, and retaining the best talent, as well as creating a positive employee experience that drives effectiveness and high performance in our evolving business environment. Through workplace wellness initiatives - including innovative mental health programs - and by celebrating diversity in the workplace, we reinforce our commitment to create an inclusive atmosphere for all team members.

",289 2611077 ,https://talenthub.vectorinstitute.ai/employers/1049151-bell-canada,https://jobs.bell.ca/ca/en,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/1049151/Bell_telecom_logo.png,,,https:// youtu.be/sSD3xOb4iq0,"Mississauga, ON, Canada",5115 Creekbank Road,Mississauga,Ontario,,Canada,2022-01-21 19:40:36 UTC,1,,Yes,Telecommunications,Gold Industry Sponsor +0b7f4e20-6aa6-4bfb-a6d3-99bb15d314dc,manveer.singh@bell.ca,Bell Canada,"

Canada's communications leader for 142 years, Bell continues to transform itself to provide more value to its customers and shareholders. Our goal is to advance how Canadians connect with each other and the world. To achieve it, we rely on the efforts, engagement and expertise of our employees. Our 50,000+ team members are located across Canada, working in thousands of locations in urban and rural areas. Our diverse team is made up of individuals who are highly skilled in a broad range of jobs, working in an environment designed to nurture an engaged workforce and a performance-driven culture. We focus on attracting, developing, and retaining the best talent, as well as creating a positive employee experience that drives effectiveness and high performance in our evolving business environment. Through workplace wellness initiatives - including innovative mental health programs - and by celebrating diversity in the workplace, we reinforce our commitment to create an inclusive atmosphere for all team members.

",289 2611077 ,https://talenthub.vectorinstitute.ai/employers/1049151-bell-canada,https://jobs.bell.ca/ca/en,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/1049151/Bell_telecom_logo.png,,,https:// youtu.be/sSD3xOb4iq0,"Mississauga, ON, Canada",5115 Creekbank Road,Mississauga,Ontario,,Canada,2022-01-21 19:40:36 UTC,0,,Yes,Telecommunications,Gold Industry Sponsor c0e1f18d-5c31-477e-b848-b265fa076fce,info@benchsci.ca,BenchSci,"

For biomedical researchers who are starting experiments, BenchSci is a reagent intelligence platform that transforms published data into experiment-specific recommendations to reduce time, money and uncertainty in planning materials and methods.

Unlike PubMed, Google Scholar, reagent directories and vendors, BenchSci uses machine learning to decode open- and closed-access data and present published figures with actionable insights.

@@ -160,7 +160,7 @@ c0e1f18d-5c31-477e-b848-b265fa076fce,info@benchsci.ca,BenchSci,"

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

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

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

-

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

",,https://talenthub.vectorinstitute.ai/employers/294961-bmo-financial-group,https://jobs.bmo.com/ca/en,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/294961/BMO-MB_T2_E.png,https://jobboardio.s3.amazonaws.com/uploads/employer/hero/294961/BMO-MB_2.jpg,,EubcVDcDxpc,,,,,,,2019-09-26 17:49:05 UTC,6,,Yes,Financial Services,Platinum Industry Sponsor +

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

",,https://talenthub.vectorinstitute.ai/employers/294961-bmo-financial-group,https://jobs.bmo.com/ca/en,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/294961/BMO-MB_T2_E.png,https://jobboardio.s3.amazonaws.com/uploads/employer/hero/294961/BMO-MB_2.jpg,,EubcVDcDxpc,,,,,,,2019-09-26 17:49:05 UTC,7,,Yes,Financial Services,Platinum Industry Sponsor 2136bce1-6032-493a-ac66-77885e50909a,info@boehringer-ingelheim.com,Boehringer Ingelheim,,,https://talenthub.vectorinstitute.ai/employers/1101043-boehringer-ingelheim,https://www.boehringer-ingelheim.ca/en,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/1101043/logo.jpeg,,,,,,,,,,2022-03-03 16:48:30 UTC,0,,Yes,Health,Gold Industry Sponsor 1eb73334-5c19-4aff-b50c-3b7a3bb8ae0d,mi.research@borealisai.com,Borealis AI,"

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

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

@@ -168,7 +168,7 @@ c0e1f18d-5c31-477e-b848-b265fa076fce,info@benchsci.ca,BenchSci,"

For biomedica

We’re on a fundamental journey to change what we do to thrive in a new world of work. As we strive every day to stay ahead of the changing behaviours of our customers, we’re building a team that’s ready to learn, adapt and imagine new solutions.

For more information on what’s it like to work at RBC and to explore our current tech opportunities check out: https://jobs.rbc.com/tech.

",,https://talenthub.vectorinstitute.ai/employers/340845-borealis-ai,https://www.borealisai.com/en/careers/,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/340845/Borealis_AI_Promo_Vertical_Blue.png,,,,,,,,,,2019-11-21 14:41:55 UTC,2,,Yes,Financial Services,Platinum Industry Sponsor +",,https://talenthub.vectorinstitute.ai/employers/340845-borealis-ai,https://www.borealisai.com/en/careers/,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/340845/Borealis_AI_Promo_Vertical_Blue.png,,,,,,,,,,2019-11-21 14:41:55 UTC,3,,Yes,Financial Services,Platinum Industry Sponsor bac29669-8b14-4236-a961-bf07629c1c6f,genady@botpublishing.com,Bot-Publishing Inc.,

An early stage EdTech startup using AI technologies.

,6475339633,https://talenthub.vectorinstitute.ai/employers/650994-bot-publishing-inc,http://botpublishing.com,https://talenthub.vectorinstitute.ai/assets/main/employer/fallback/default-fa2f9950be6d195ce129d791e68531fbaf632949d1549f523363dbe7944dfaea.png,,,,"Toronto, ON, Canada",,Toronto,Ontario,,Canada,2020-12-22 21:58:37 UTC,0,,,, 9125fb8b-aa4e-4e76-adbf-e84b9062472d,cmaeda@botco.ai,Botco.ai Inc.,,,https://talenthub.vectorinstitute.ai/employers/1160444-botco-ai-inc,https://botco.ai/,https://talenthub.vectorinstitute.ai/assets/main/employer/fallback/default-fa2f9950be6d195ce129d791e68531fbaf632949d1549f523363dbe7944dfaea.png,,,,,,,,,,2022-04-13 20:48:22 UTC,0,SME Webinar 1 Attendee,Yes,Software,SME Organization 8f7e30c2-f321-4f64-ba02-0355c89001a2,claude@bptn.ca,BPTN - Black Professionals in Tech Network ,

,,https://talenthub.vectorinstitute.ai/employers/803100-bptn-black-professionals-in-tech-network,,https://talenthub.vectorinstitute.ai/assets/main/employer/fallback/default-fa2f9950be6d195ce129d791e68531fbaf632949d1549f523363dbe7944dfaea.png,,,,,,,,,,2021-05-13 22:24:28 UTC,0,,No,,Not Affiliated @@ -199,7 +199,7 @@ e2168462-8438-43be-8730-cfc25a34065a,jxie@ci.com,CI Global Asset Management,

< 183e8925-c0d5-4283-90c4-7cc7fd581147,info@cibc.ca,CIBC,"

Founded in 1867, CIBC is a leading global financial institution providing a full suite of products and services to over 11 million clients across Canada and around the world. We understand that you, our customer, demand financial products and services that meet your unique needs. We provide these by creating a personalized, flexible and straightforward banking experience that fits your life. Our innovative products and services allow you to bank when and how it is most convenient for you, while our straightforward and honest approach allows you to make informed financial decisions. This culture of innovation and our shared values of trust, teamwork and accountability have consistently led to CIBC being named among the top employers in Canada. They are also why a career at CIBC provides a fulfilling challenge and opportunities for growth – not unlike the country we helped to build.

",,https://talenthub.vectorinstitute.ai/employers/298806-cibc,https://www.cibc.com/en/about-cibc/careers.html,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/298806/chevron_logo_reverse.jpg,https://jobboardio.s3.amazonaws.com/uploads/employer/hero/298806/CIBC_logo_rgb.png,,,,,,,,,2019-10-09 15:46:21 UTC,1,,Yes,Financial Services,Gold Industry Sponsor 389093f6-46ac-412c-aecc-087b637ff341,fatima.mussa@globalstrategylab.org,CIHR Institute of Population and Public Health,

,,https://talenthub.vectorinstitute.ai/employers/679845-cihr-institute-of-population-and-public-health,https://cihr-irsc.gc.ca/e/13777.html,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/679845/CIHR_logo.png,,,,"Toronto, ON, Canada","4700 Keele Street Victor Philip Dahdaleh Building, 2120",Toronto,Ontario,,Canada,2021-02-08 16:10:25 UTC,0,,Yes,Health,Health Partner -8ce47197-02db-46c7-bd35-a5d6b8224e9d,info@clearpath.ca,Clearpath,"

Clearpath Robotics is a global leader in unmanned vehicle robotics for research and development, and provides hardware, software and services to enable self-driving vehicle development, deployment, and operation. Clearpath works with over 500 of the world’s most innovative brands in over 40 countries, serving markets that span industrial materials handling, mining, military, agriculture, aerospace, and academia. Clearpath is an award-winning company with recent awards, including Robotics Business Review Top 50 Company, Edison Award for Innovation, Business Insider Top 40 under 40, and Canada’s Top 100 Employers. Visit Clearpath Robotics at www.clearpathrobotics.com.

",,https://talenthub.vectorinstitute.ai/employers/298856-clearpath,https://clearpathrobotics.com/robotics-careers/,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/298856/clearpath-logo_1_.png,https://jobboardio.s3.amazonaws.com/uploads/employer/hero/298856/clearpath-logo_1_.png,,,,,,,,,2019-10-09 18:30:13 UTC,1,,Yes,Construction or Infrastructure,Bronze Industry Sponsor +8ce47197-02db-46c7-bd35-a5d6b8224e9d,info@clearpath.ca,Clearpath,"

Clearpath Robotics is a global leader in unmanned vehicle robotics for research and development, and provides hardware, software and services to enable self-driving vehicle development, deployment, and operation. Clearpath works with over 500 of the world’s most innovative brands in over 40 countries, serving markets that span industrial materials handling, mining, military, agriculture, aerospace, and academia. Clearpath is an award-winning company with recent awards, including Robotics Business Review Top 50 Company, Edison Award for Innovation, Business Insider Top 40 under 40, and Canada’s Top 100 Employers. Visit Clearpath Robotics at www.clearpathrobotics.com.

",,https://talenthub.vectorinstitute.ai/employers/298856-clearpath,https://clearpathrobotics.com/robotics-careers/,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/298856/clearpath-logo_1_.png,https://jobboardio.s3.amazonaws.com/uploads/employer/hero/298856/clearpath-logo_1_.png,,,,,,,,,2019-10-09 18:30:13 UTC,0,,Yes,Construction or Infrastructure,Bronze Industry Sponsor c4c113a4-340a-496f-9644-e2fc6b892e46,info@cn.ca,CN,"

At CN, we currently leverage AI in various capacities primarily within three groups:

  1. Supply Chain
  2. @@ -209,7 +209,7 @@ c4c113a4-340a-496f-9644-e2fc6b892e46,info@cn.ca,CN,"

    At CN, we currently lever

    Our Supply Chain is all about the customers. We use AI models for commodity forecasting, to build scenarios that anticipate demand and capacity and to know how much material/supply we are moving in advance for example. This provides a competitive advantage, creates favourable financial conditions and helps us better coordinate our operations.

    From an Operations stand point, we use AI in projects such as fleet optimization & PtU (Predict the Unseen), which is helping us improve the ETA accuracy for active inbound trains, increasing the efficiency and predictability of our network.​ The machine learning model provides near real-time ETA predictions based on historical data (train delays, train characteristics, weather, historical trip information, etc). In addition, this science can support predictive maintenance of locomotives and cars, resulting in reduced repair costs.

    Finally, within Sustainability, we leverage AI to improve safety by reducing injuries. We’ve used it to build a predictive app that assists supervisors by computing different factors including the weather, number of workers on sites, the scope of labour and more to reduce the risk of injuries.

    -",,https://talenthub.vectorinstitute.ai/employers/298807-cn,https://www.cn.ca/en/careers/,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/298807/Company_Logo.PNG,,,,,,,,,,2019-10-09 15:49:09 UTC,1,,Yes,Transportation,Gold Industry Sponsor +",,https://talenthub.vectorinstitute.ai/employers/298807-cn,https://www.cn.ca/en/careers/,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/298807/Company_Logo.PNG,,,,,,,,,,2019-10-09 15:49:09 UTC,0,,Yes,Transportation,Gold Industry Sponsor 4b81122c-03ce-486d-a836-705e1ef5ee32,dvu@cobionix.com,Cobionix,

    Cobionix is developing the world's first autonomous robotics platform for medical procedures.

    ,,https://talenthub.vectorinstitute.ai/employers/1748322-cobionix,https://www.cobionix.com/,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/1748322/Cobionix_Small-06__3_.png,,,,"Kitchener, ON, Canada",151 Charles St. W,Kitchener,Ontario,,Canada,2023-02-15 20:04:31 UTC,0,FastLane employer,Yes,Health,Startup 87b841f8-2d9a-437b-811b-1ad72efdba28,laura@codefor.ca,Code for Canada,"

    Code for Canada is a national nonprofit that enables governments to deliver better digital services and empowers communities to solve civic challenges. Our programs connect residents, government innovators and civic technologists, so they can work together to build a better Canada.

    ",647-668-8880,https://talenthub.vectorinstitute.ai/employers/863644-code-for-canada,https://codefor.ca/,https://talenthub.vectorinstitute.ai/assets/main/employer/fallback/default-fa2f9950be6d195ce129d791e68531fbaf632949d1549f523363dbe7944dfaea.png,,,,"Toronto, ON, Canada",207-192 Spadina Ave,Toronto,Ontario,,Canada,2021-07-13 17:29:40 UTC,0,,No,Education,Not Affiliated f0c1afc3-9c67-4a20-9ab0-699bfbc7a01e,codelili26@163.com,codelili26,,,https://talenthub.vectorinstitute.ai/employers/1801947-codelili26,,https://talenthub.vectorinstitute.ai/assets/main/employer/fallback/default-fa2f9950be6d195ce129d791e68531fbaf632949d1549f523363dbe7944dfaea.png,,,,,,,,,,2023-03-13 04:44:04 UTC,0,,No,,Not Affiliated @@ -472,7 +472,7 @@ in a big way!

    Follow Us:

    -
    ",,https://talenthub.vectorinstitute.ai/employers/298520-loblaw-companies-ltd,https://www.loblaw.ca/en/careers.html,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/298520/LCL_Stacked_EN_CMYK-300x141.jpg,https://jobboardio.s3.amazonaws.com/uploads/employer/hero/298520/5b7edf82ead85a0fc7edf02c_Loblaw_Cos_Ltd_headquarter_-_Sweeny_Co_Architects_-_P01_LR_-_hero_shot_light_dusk.jpg,,ZhgbhJtqniw,,,,,,,2019-10-08 19:47:56 UTC,3,,Yes,Retail,Platinum Industry Sponsor +
    ",,https://talenthub.vectorinstitute.ai/employers/298520-loblaw-companies-ltd,https://www.loblaw.ca/en/careers.html,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/298520/LCL_Stacked_EN_CMYK-300x141.jpg,https://jobboardio.s3.amazonaws.com/uploads/employer/hero/298520/5b7edf82ead85a0fc7edf02c_Loblaw_Cos_Ltd_headquarter_-_Sweeny_Co_Architects_-_P01_LR_-_hero_shot_light_dusk.jpg,,ZhgbhJtqniw,,,,,,,2019-10-08 19:47:56 UTC,1,,Yes,Retail,Platinum Industry Sponsor 62ffdc6d-6304-4bb6-b4b4-e375c1fa38fc,info@magna.ca,Magna International,"

    We have more than 173,000 entrepreneurial-minded employees dedicated to delivering mobility solutions. We are a mobility technology company and one of the world's largest automotive suppliers with 340 manufacturing operations and 89 product development, engineering and sales centres in 27 countries. Our competitive capabilities include body exteriors and structures, power and vision technologies, seating systems and complete vehicle solutions. Our common shares trade on the Toronto Stock Exchange (MG) and the New York Stock Exchange (MGA). For further information about Magna, visit www.magna.com.

    ",,https://talenthub.vectorinstitute.ai/employers/298817-magna-international,https://www.magna.com/company/careers/career-opportunities,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/298817/1096x1096-MagnaLogo-RGB-HR-V1.0.png,https://jobboardio.s3.amazonaws.com/uploads/employer/hero/298817/magna-logo-no-line_1_.jpg,,,,,,,,,2019-10-09 15:59:30 UTC,0,,Yes,Manufacturing,Gold Industry Sponsor b8a874a7-0bfb-4359-9c14-ba9a1ab79863,info@manulife.ca,Manulife,"

    Manulife is a leading Canada-based financial services group that is helping people achieve their dreams and aspirations, by putting customers’ needs first and providing them with the right advice and solutions. With principal operations in Canada, the U.S. (where we operate as John Hancock) and Asia, we provide more than 20 million customers in 22 countries and territories with financial advice, insurance, and wealth and asset management solutions.

    ",,https://talenthub.vectorinstitute.ai/employers/298819-manulife,https://www.manulife.com/en/careers/why-join-us.html,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/298819/manulife_rgb_1_.jpg,,,,,,,,,,2019-10-09 16:04:07 UTC,0,"No longer a sponsor as of April 1, 2022",Yes,Financial Services,Gold Industry Sponsor de5a541a-0cb4-4315-834b-c7dffc8b0c8d,remi.duquette@mayahtt.com,Maya HTT Ltd.,"

    We couldn’t possibly list everything we do! Here are just some of our AI, IIoT, and data analytics services:

    @@ -508,7 +508,7 @@ We are a committed team of talented people. We’re as much a family as we are a

    Employees- 119 on LinkedIn

    Specialties- Artificial Intelligence, Analytics, Fraud detection, Audit assurance, Accounting, CPA, Machine Learning, Big Data, SaaS, FinTech, and RegTech

    ",,https://talenthub.vectorinstitute.ai/employers/298872-mindbridge-analytics-inc,https://www.mindbridge.ai/careers/,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/298872/mindbridge_logo_primary_rgb_1_.png,https://jobboardio.s3.amazonaws.com/uploads/employer/hero/298872/mindbridge_logo_primary_rgb_2_.png,,,,,,,,,2019-10-09 18:43:36 UTC,0,,Yes,Financial Services,Bronze Industry Sponsor 5819ac5c-8ae9-4874-9c56-363200b623fb,jessica@modiface.com,ModiFace Inc.,,6476778599,https://talenthub.vectorinstitute.ai/employers/1301154-modiface-inc,http://www.modiface.com,https://talenthub.vectorinstitute.ai/assets/main/employer/fallback/default-fa2f9950be6d195ce129d791e68531fbaf632949d1549f523363dbe7944dfaea.png,,,,"Toronto, ON, Canada","7 St Thomas St, 502, 502",Toronto,Ontario,,Canada,2022-07-06 18:10:09 UTC,0,,Yes,Technology (Information and Media),Startup -97cc0ca0-536e-409c-a62a-ce1f04297878,sonika.trehon@multiversecomputing.com,Multiverse Computing,"

    Multiverse Computing is a well-funded and fast growing deep-tech company founded in 2019. We are one of the few companies working with Quantum Computing and the biggest Quantum Software company in the EU. The headquarters are in Spain with additional offices in Canada, France and Germany.
    We provide hyper-efficient software to companies wanting to gain an edge with quantum computing and artificial intelligence. Our product, Singularity, is a software as a service platform that contains quantum and quantum-inspired algorithms developed and patented through proof-of-concept trials we have been performing for industrial and service clients. We work in finance, energy, manufacturing, cybersecurity and many more industries.
    You will be working alongside world leading experts to build solutions that tackle real life issues. We look for passionate people that want to grow in an ethics driven environment, promoting sustainability and diversity. We aim to continue building our truly inclusive culture - come and join us!

    ",,https://talenthub.vectorinstitute.ai/employers/2019951-multiverse-computing,https://multiversecomputing.com/,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/2019951/Multiverse-Computing-Logo-02.png,,,,"Toronto, ON, Canada",192 Spadina Avenue,Toronto,Ontario,,Canada,2023-06-07 13:07:39 UTC,1,,,, +97cc0ca0-536e-409c-a62a-ce1f04297878,sonika.trehon@multiversecomputing.com,Multiverse Computing,"

    Multiverse Computing is a well-funded and fast growing deep-tech company founded in 2019. We are one of the few companies working with Quantum Computing and the biggest Quantum Software company in the EU. The headquarters are in Spain with additional offices in Canada, France and Germany.
    We provide hyper-efficient software to companies wanting to gain an edge with quantum computing and artificial intelligence. Our product, Singularity, is a software as a service platform that contains quantum and quantum-inspired algorithms developed and patented through proof-of-concept trials we have been performing for industrial and service clients. We work in finance, energy, manufacturing, cybersecurity and many more industries.
    You will be working alongside world leading experts to build solutions that tackle real life issues. We look for passionate people that want to grow in an ethics driven environment, promoting sustainability and diversity. We aim to continue building our truly inclusive culture - come and join us!

    ",,https://talenthub.vectorinstitute.ai/employers/2019951-multiverse-computing,https://multiversecomputing.com/,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/2019951/Multiverse-Computing-Logo-02.png,,,,"Toronto, ON, Canada",192 Spadina Avenue,Toronto,Ontario,,Canada,2023-06-07 13:07:39 UTC,0,,,, 92978e9a-f3f5-4cd4-a658-d431a1cbcd23,hiring@multiversecomputing.com,Multiverse Computing SL,"

    Multiverse is a well funded deep-tech company. We are one of the few world companies working with Quantum Computing.

    We provide hyper-efficient software for companies from the financial industry wanting to gain an edge with quantum computing and artificial intelligence. Our main verticals are fraud detection, credit scoring assessment, and financial optimization.

    Our team of experts is world renowned for innovative approaches to intractable financial and macro-economics problems. We work with quantum hardware and quantum inspired methods to build machine learning solutions which exceed the predictive power of the current best solutions.

    @@ -534,7 +534,7 @@ c580e437-243b-47df-8112-fb3d0e32335d,info@nvidia.ca,NVIDIA,"

    Overview

    3c2a537f-2cb8-42ca-8cb6-efd6a140f155,sami@carbontrainer.com,O2 Interactive Ltd.,

    Full stack AI Fitness Platform.

    ,6047675787,https://talenthub.vectorinstitute.ai/employers/1148938-o2-interactive-ltd,https://www.carbontrainer.com,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/1148938/CARBON-LOGO-black-vector-small-square.jpg,,,,"North Vancouver, BC, Canada",104-1055 Ridgewood Drive,North Vancouver,British Columbia,,Canada,2022-04-06 22:38:03 UTC,0,,Yes,Health,Startup 3c49c9f2-7446-4cbf-927b-6b735e45394f,arjola.kelly@odaia.ai,ODAIA,

    ,,https://talenthub.vectorinstitute.ai/employers/790071-odaia,,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/790071/ODAIA_logo.jpg,,,,,,,,,,2021-04-30 14:02:38 UTC,0,Startup campaign 03.2021,Yes,Technology (Information and Media),Startup 65e59945-f490-4662-b67f-14a23e9f6aa5,info@omers.com,OMERS,"

    Founded in 1962, OMERS is a jointly sponsored, defined benefit pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS teams work in major cities across North America, Europe, Asia and more – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate. OMERS had net assets of $114 billion as at June 30, 2021

    -

    In 2020, OMERS established an internal AI Centre of Expertise to guide and drive development in AI. Existing work in AI and machine learning has led to generating portfolio insights, optimization of business processes, deploying AI in a responsible and ethical manner, and advancing Environmental, Social and Corporate Governance (ESG) goals. OMERS is also in the process of introducing a Data and AI Academy to increase employee skill development and experience in this area. We are actively developing several AI driven products and are gearing up for the challenges that lie ahead of us- including, but not limited to MLOps and explainability.

    ",,https://talenthub.vectorinstitute.ai/employers/881085-omers,https://www.omers.com/careers,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/881085/omers-logo-featured-image.jpg,,,,,,,,,,2021-08-03 20:42:47 UTC,1,,Yes,Financial Services,Gold Industry Sponsor +

    In 2020, OMERS established an internal AI Centre of Expertise to guide and drive development in AI. Existing work in AI and machine learning has led to generating portfolio insights, optimization of business processes, deploying AI in a responsible and ethical manner, and advancing Environmental, Social and Corporate Governance (ESG) goals. OMERS is also in the process of introducing a Data and AI Academy to increase employee skill development and experience in this area. We are actively developing several AI driven products and are gearing up for the challenges that lie ahead of us- including, but not limited to MLOps and explainability.

    ",,https://talenthub.vectorinstitute.ai/employers/881085-omers,https://www.omers.com/careers,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/881085/omers-logo-featured-image.jpg,,,,,,,,,,2021-08-03 20:42:47 UTC,0,,Yes,Financial Services,Gold Industry Sponsor 49953e41-70df-4ec3-a4ee-37b17d8fb54f,ruidasilva@omninvention.com,Omninvention,

    We are a Cleantech Start UP and a A.I. Digital Agency. Our dedicated team consists of expert designers and consultants.

    ,9057824663,https://talenthub.vectorinstitute.ai/employers/1137126-omninvention,https://www.omninvention.com,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/1137126/Logo_Omninvention.png,,,,"Toronto, ON, Canada",8 Knowland Dr,Toronto,Ontario,,Canada,2022-03-30 12:37:15 UTC,0,,Yes,Technology (Information and Media),Startup cc6974d2-5518-49d2-9a72-6fdeae160829,evgeny@onsiteiq.io,OnSiteIQ,"

    OnSiteIQ is a Construction Intelligence platform for the real estate built environment. We are an early stage startup with a group of highly motivated entrepreneurs, ambitiously building the future of progress, budget, and quality intelligence for construction sites. With ground breaking technology we are reimagining how construction sites are built with more transparency, accountability, and productivity in mind.

    ",+1 212-220-3937,https://talenthub.vectorinstitute.ai/employers/966775-onsiteiq,http://www.onsiteiq.io,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/966775/Logo_NavyBG_.jpg,,,,"New York, NY",335 Madison Ave,New York,New York,,United States,2021-11-03 12:58:03 UTC,0,Part of SME program,Yes,Technology (Information and Media),SME Organization e7f9874e-ae1b-499a-8d70-457a48bfbd84,steven.habbous@ontariohealth.ca,Ontario Health,"

    We are an agency created by the Government of Ontario with a mandate to connect and coordinate our province’s health care system in ways that have not been done before, to help ensure that Ontarians receive the best possible care. We believe in patient-centred care and in health equity. And we believe in learning from the many diverse communities that make up Ontario, so we can reflect those learnings in everything we do. Our highly skilled team comes from across the province and collectively applies world class experience, knowledge and expertise to support health care professionals and to benefit all Ontarians.

    @@ -642,7 +642,7 @@ f0c06a40-b357-46f2-bba2-306ce3dff8e3,timothyjwhite89@gmail.com,Randomizer Ltd,,,

    We’re on a fundamental journey to change what we do to thrive in a new world of work. As we strive every day to stay ahead of the changing behaviours of our customers, we’re building a team that’s ready to learn, adapt and imagine new solutions.

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

    For more information on what’s it like to work at RBC and to explore our current tech opportunities check out: https://jobs.rbc.com/tech.

    -",,https://talenthub.vectorinstitute.ai/employers/294574-rbc,https://jobs.rbc.com/ca/en/,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/294574/RBC_rgbP.jpg,https://jobboardio.s3.amazonaws.com/uploads/employer/hero/294574/AdobeStock_270015820.jpeg,,,,,,,,,2019-09-25 21:22:36 UTC,0,,Yes,Financial Services,Platinum Industry Sponsor +",,https://talenthub.vectorinstitute.ai/employers/294574-rbc,https://jobs.rbc.com/ca/en/,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/294574/RBC_rgbP.jpg,https://jobboardio.s3.amazonaws.com/uploads/employer/hero/294574/AdobeStock_270015820.jpeg,,,,,,,,,2019-09-25 21:22:36 UTC,2,,Yes,Financial Services,Platinum Industry Sponsor 1b5c97ea-cbe8-4281-9031-844ffdfe6fda,michael@relup.io,ReLup,"

    ReLup leverages AI to develop biomarkers and diagnostics for brain-related disorders such as Alzheimer's disease and related dementias, Parkinson's disease, CTE and concussion. Our approach combines the accuracy of deep learning with the interpretability of quantifiable metrics. Working with world leading experts in medicine, neuroscience, and computer science, we aim to revolutionize evidence-based medicine for the digital age.

    ",,https://talenthub.vectorinstitute.ai/employers/1108608-relup,https://www.relup.io/,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/1108608/logo_08_03_2022.png,,,,"Toronto, ON, Canada",,Toronto,Ontario,,Canada,2022-03-09 16:14:29 UTC,0,,,, 644225a6-05fc-465f-8b5a-49e314bed023,jonah.cait@reticleai.com,Reticle AI,"

    Reticle's™ AI ingests and classifies data points from URLs and Videos to produce emotional signals. Reticle serve to helps advertisers align the emotional intent of their ads with the contextual placements where audiences are most receptive to brand messaging.

    Reticle AI is a data product being built by Hotspex Media Inc.

    ",,https://talenthub.vectorinstitute.ai/employers/1467234-reticle-ai,http://www.reticleai.com,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/1467234/Reticle_Icon_RGB_SmokyBlack.png,,,,"Toronto, ON, Canada",802-40 Eglinton Ave E,Toronto,Ontario,,Canada,2022-10-03 14:37:04 UTC,0,,Yes,Technology (Information and Media),SME Organization @@ -652,7 +652,7 @@ aa943280-5f2d-4e72-83ff-6f227000b858,sreenath@ridecommerce.co,RideCommerce,

    Ri 46200c9e-d96d-4967-8201-6cd9dd2ad0f1,mf@riskfuel.com,Riskfuel Analytics Inc.,"

    Riskfuel's mission is to bring transparency and understanding of the risks in derivatives trading by giving traders the tools they need to efficiently manage the risk in their positions in real-time. Riskfuel's solutions are millions of times faster than current alternatives, for the first time allowing on-demand valuation and risk metrics coupled with extreme reductions in computing requirements and costs.

    Riskfuel uses machine learning to learn approximations to the partial differential equations that are prevalent in quantitative finance. These equations normally have to be solved using Monte Carlo simulation or finite-difference methods, which are some combination of slow, inaccurate and expensive. Riskfuel harnesses the client's classical models to develop an appropriate training set and then learns an approximation to the classical model (MC simulation, finite difference, etc). Once trained, the Riskfuel models are more accurate than the classical models (at their production settings) and are many orders of magnitude faster.

    ",,https://talenthub.vectorinstitute.ai/employers/1210499-riskfuel-analytics-inc,https://riskfuel.com,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/1210499/Riskfuel-blue.png,https://jobboardio.s3.amazonaws.com/uploads/employer/hero/1210499/background_were_hiring.png,,,"Toronto, ON, Canada",,Toronto,Ontario,,Canada,2022-05-15 16:59:20 UTC,0,,Yes,Financial Services,Bronze Industry Sponsor fc3c1bf0-8735-4c2e-beac-e9337a5dcb65,daniel.tazbaz@robertson.ca,Robertson & Company Ltd.,"

    Robertson and Company is a Professional Recruiting and Staffing firm. We specialize in placing the highest calibre of candidates in the banking, Finance, and FinTech sectors Globally. We have high volumes of specialized positions with our clients, who are large global organizations.

    ",416 367 5454 ext. 152,https://talenthub.vectorinstitute.ai/employers/1240007-robertson-company-ltd,https://www.robertsonandcompany.com/,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/1240007/robertson_logo.png,https://jobboardio.s3.amazonaws.com/uploads/employer/hero/1240007/Robertson_Large_Logo.png,,,"Toronto, ON, Canada","100 King Street West, Suite 5830",Toronto,Ontario,,Canada,2022-05-31 20:21:58 UTC,0,,No,Professional Services (e.g Consulting),Not Affiliated -99d86707-3683-42f3-a0ed-f0c94afdc770,info@roche.com,Roche,

    ,,https://talenthub.vectorinstitute.ai/employers/645691-roche,https://www.roche.com/careers.htm,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/645691/Roche_Logo.jpg,,,,,,,,,,2020-12-14 15:19:29 UTC,3,,Yes,Health,Gold Industry Sponsor +99d86707-3683-42f3-a0ed-f0c94afdc770,info@roche.com,Roche,

    ,,https://talenthub.vectorinstitute.ai/employers/645691-roche,https://www.roche.com/careers.htm,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/645691/Roche_Logo.jpg,,,,,,,,,,2020-12-14 15:19:29 UTC,0,,Yes,Health,Gold Industry Sponsor 91f549be-0196-4f18-b449-e14bf17b765f,info@ross.ca,ROSS,"

    Founded in 2014, ROSS Intelligence has become a global leader in artificial intelligence solution for Legal Technologies.

    Using cutting edge Natural Language Processing (NLP), our technology is able to accurately determine the answer to your legal research questions in seconds. Accurate results in less time deliver better research to you.

    ",,https://talenthub.vectorinstitute.ai/employers/298868-ross,https://rossintelligence.com/careers.html,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/298868/ross_logo_1_.png,https://jobboardio.s3.amazonaws.com/uploads/employer/hero/298868/ross_logo_2_.png,,,,,,,,,2019-10-09 18:39:49 UTC,0,,Yes,Software,Bronze Industry Sponsor @@ -670,13 +670,16 @@ c53d006d-5125-4e58-ac04-b3ccb062d06d,cliona.mlony@sanofi.com,Sanofi,

    ,+185
  3. Our employees are rewarded for their contributions
  4. We’re driven by core values that put our people first
  5. We’re performance-based and driven to succeed
  6. -",,https://talenthub.vectorinstitute.ai/employers/294573-scotiabank,https://www.scotiabank.com/careers/en/careers.html,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/294573/S_White_on_red_HEX__Square_.jpg,https://jobboardio.s3.amazonaws.com/uploads/employer/hero/294573/66405575_437054320471451_2758986209542799360_o.jpg,,,,,,,,,2019-09-25 21:22:36 UTC,18,,Yes,Financial Services,Platinum Industry Sponsor +",,https://talenthub.vectorinstitute.ai/employers/294573-scotiabank,https://www.scotiabank.com/careers/en/careers.html,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/294573/S_White_on_red_HEX__Square_.jpg,https://jobboardio.s3.amazonaws.com/uploads/employer/hero/294573/66405575_437054320471451_2758986209542799360_o.jpg,,,,,,,,,2019-09-25 21:22:36 UTC,20,,Yes,Financial Services,Platinum Industry Sponsor 83792732-b500-41e9-b00f-04f2592e8c17,philippe@seespine.ca,SeeSpine,"

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



    ",514 566 0418,https://talenthub.vectorinstitute.ai/employers/1372260-seespine,https://www.linkedin.com/company/seespine/,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/1372260/whitebackground_tagline.png,,,,"Montreal, QC, Canada",,Montreal,Quebec,,Canada,2022-08-15 18:35:47 UTC,0,"Startup, featured here: https://www.mcgill.ca/medsimcentre/article/staying-ahead-curve-seespine",Yes,Health,Not Affiliated a1d55185-abc0-42fb-a07d-ac0689c4eee1,seoaimpoint@yahoo.com,seoaimpoint,,,https://talenthub.vectorinstitute.ai/employers/1461280-seoaimpoint,https://www.seoaimpoint.com/,https://talenthub.vectorinstitute.ai/assets/main/employer/fallback/default-fa2f9950be6d195ce129d791e68531fbaf632949d1549f523363dbe7944dfaea.png,,,,,,,,,,2022-09-29 14:01:09 UTC,0,,No,Technology (Information and Media),Not Affiliated 164a567f-b65b-4533-9245-fed817beb212,info@shopify.ca,Shopify Inc.,"

    Shopify is the leading omni-channel commerce platform. Business owners can use the software to design, set up, and manage their stores across multiple sales channels, including web, mobile, social media, marketplaces, brick-and-mortar locations, and pop-up shops. The platform also provides a powerful back-office and a single view of their business. The Shopify platform was engineered for reliability and scale, making enterprise-level technology available to businesses of all sizes. Shopify currently powers over 800,000 businesses in approximately 175 countries and is trusted by independent business owners and brands such as Tesla, Allbirds, MVMT, Kylie Cosmetics, and many more.

    ",,https://talenthub.vectorinstitute.ai/employers/298787-shopify-inc,https://www.shopify.ca/careers,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/298787/shopify_logo_square.png,https://jobboardio.s3.amazonaws.com/uploads/employer/hero/298787/shopify_logo_square.png,,neFK-pv2sKY,,,,,,,2019-10-09 14:40:20 UTC,0,,Yes,Retail,Platinum Industry Sponsor +80fcdc15-0590-4b54-bd4d-953e883f0f0a,samir.kulkarni@shopatshowcase.com,Showcase,"

    Founded in 1994, Showcase is the ""Home of the Hottest Trends"", and the world's largest retailer of social media trends, spanning health, beauty, toys, tech, and food. With 150 trend stores in North America's best shopping centres, Showcase offers the most fun, interactive, new, and unique products ever - all in a retail environment where you can ""try it before you buy it."" We call it retail-tainment! With 109 Canadian and 41 US trend stores, Showcase continues to cement the company's position as a global leader in interactive retail and lifestyle trends. #ShowcaseMadeMeBuyIt now has 200M views on TikTok! To learn more, see our Corporate Overview.

    +

    It all starts with data! Showcase's Head Office technical team employs cutting-edge proprietary algorithms to detect and commercialize social media trends, and was one of the first companies to adopt machine learning and generative AI. The Globe and Mail recently covered Showcase's leadership in AI here.

    +

    We are looking to take our trend technology to the next level with your help. Join a winning team and let's make retail magic together!

    ",9054520392,https://talenthub.vectorinstitute.ai/employers/2119424-showcase,http://shopatshowcase.com,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/2119424/showcase_icon_0617.png,https://jobboardio.s3.amazonaws.com/uploads/employer/hero/2119424/showcase_full_logo_0617.jpg,,,"Brampton, ON, Canada",1 Wilkinson Rd,Brampton,Ontario,,Canada,2023-07-11 19:00:39 UTC,0,They are at the enterprise-level (company size is 501-1000 employees),No,Retail,Not Affiliated 067eb93e-2fc9-45b9-9855-c11447b2e1a6,ask.hr@sickkids.ca,SickKids,,,https://talenthub.vectorinstitute.ai/employers/494646-sickkids,http://www.sickkids.ca/CareersVolunteering/careers/index.html,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/494646/SickKids_Hospital.jpg,,,,,,,,,,2020-05-27 14:24:11 UTC,0,,Yes,Health,Health Partner a47ad962-3b97-43e9-8102-6f5c49ea50c5,daniel@onsleek.com,Sleek,"

    Sleek (Y Combinator '21) is a browser extension that lets consumers do 1-click checkout from any store on the internet! We make checking out from any website as easy as buying from Amazon. Plus, Sleek gives users cash back! We already have partnerships with over 1000 retailers including Walmart, Macy’s, Best Buy, and more.

    We're developing a first-of-its-kind platform that can semantically understand and navigate every eCommerce store on the internet. It's a true zero-to-one problem - we're essentially creating a ‘self-driving’ experience for eComm.

    Our founding team has been friends for 7+ years. We actually used to be university roommates before we were co-founders. We have experience building Microsoft’s Edge browser, consulting global brands on eComm strategy, and structuring partnerships for fintechs.

    @@ -1080,7 +1083,7 @@ AI projects.

    4. Contribute thought leadership about Ontario and Canada's role in AI, including economic and societal impacts.

    -",,https://talenthub.vectorinstitute.ai/employers/319524-vector-institute,https://vectorinstitute.ai,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/319524/01_Uniligual_FullColour_Vertical.jpg,https://jobboardio.s3.amazonaws.com/uploads/employer/hero/319524/05_Uniligual_FullColour_Horizontal.jpg,,,,,,,,,2019-10-25 12:31:53 UTC,3,,Yes,Education, +",,https://talenthub.vectorinstitute.ai/employers/319524-vector-institute,https://vectorinstitute.ai,https://jobboardio.s3.amazonaws.com/uploads/employer/logo/319524/01_Uniligual_FullColour_Vertical.jpg,https://jobboardio.s3.amazonaws.com/uploads/employer/hero/319524/05_Uniligual_FullColour_Horizontal.jpg,,,,,,,,,2019-10-25 12:31:53 UTC,2,,Yes,Education, 5cf56bd1-9bfe-4907-826a-15f2162b76f6,learn@vectorinstitue.ai,Vector Institute (Internal Opportunities Only),"

    661 University Ave Suite 710 Toronto, ON M5G 1M1 Canada

    diff --git a/jobExport.csv b/jobExport.csv index 9f8b523..1d39a57 100644 --- a/jobExport.csv +++ b/jobExport.csv @@ -1,33 +1,121 @@ token,id,company,title,remote,location,created_at,description,apply_email,apply_url,contact_email,company_url,transaction_price,revenue_share,expiration_date,featured,applicants_count,apply_link_click_count,views,url,reference,status,published_at,source_name,company_size,email_applications_or_application_click_through,job_industry,level_of_experience,minimum_degree_level,new_posting_or_repost,Type of Job Opportunity -4c1dfd75-b1b2-4a33-95c7-a327704ad321,239887328,Scotiabank,"Senior Analyst, Financial Planning and Analysis",on_site,Canada : Ontario : Toronto,2023-06-26T15:52:02.645Z,"

    -

    -

    -

    -

    Requisition ID: 177722

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

    -

    -

    Hiring Details:

    -
    • Department: Canadian Banking Finance
    • Business Line: Retail Payments and Unsecured Lending Finance, Retail Banking Finance
    • +85f86090-ed9f-4f4a-88f1-22324d2cce0d,236957196,BMO Financial Group,Intermediate ETL developer,on_site,"Ontario, Canada",2023-06-17T01:42:02.842Z,"
      +

      Application Deadline:

      07/30/2023

      +

      +

      Address:

      VIRTUAL(R)59 - HomeRes - ON - BMO

      +

      +

      Job Family Group:

      Data Analytics & Reporting

      +

      +

      +

      +
      • +

        Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

        +
          +
        • Builds effective relationships with internal/external stakeholders.

        • +
        • Leads/participates in the design, implementation and management of new analytics & reporting solutions.

        • +
        • Designs, develops, and implements innovative analytical solutions.

        • +
        • Designs and produces regular and ad-hoc reports, and dashboards.

        • +
        • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.

        • +
        • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).

        • +
        • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.

        • +
        • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.

        • +
        • Designs, develops, and implements innovative analytical solutions.

        • +
        • Designs and produces regular and ad-hoc reports, and dashboards.

        • +
        • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.

        • +
        • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.

        • +
        • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.

        • +
        • Analyzes data and information to provide subject-matter insights and recommendations.

        • +
        • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.

        • +
        • Documents and maintain operational procedures and processes relating to analytical and reporting processes.

        • +
        • Builds effective relationships with internal/external stakeholders.

        • +
        • Collaborates with internal and external stakeholders in order to deliver on business objectives.

        • +
        • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.

        • +
        • Exercises judgment to identify, diagnose, and solve problems within given rules.

        • +
        • Works independently on a range of complex tasks, which may include unique situations.

        • +
        • Broader work or accountabilities may be assigned as needed

        • +
        • Qualifications:

        • +
        • Typically, between 6-10 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

        • +
        • Minimum 5 years of experience in T-SQL (queries, stored procedures, triggers, functions, views, tables, constraints, etc.), and SQL server administration

        • +
        • 3 years of experience in Database Design and SQL server performance tuning

        • +
        • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to ETL, SQL, SAS, Spotfire, Tableau, R, Python, MATLAB, SPSS - Very good.

        • +
        • Technical proficiency gained through education and/or business experience.

        • +
        • Verbal & written communication skills - In-depth.

        • +
        • Collaboration & team skills - In-depth.

        • +
        • Analytical and problem-solving skills - In-depth.

        • +
        • Influence skills - In-depth.

        • +
        • Data driven decision making - In-depth.

        -

        -

        Job Purpose:

        -

        Reporting to the Senior Manager of Finance, the successful candidate is extremely curious, and action oriented with a supernatural ability to drive results in a highly collaborative manner. The successful candidate will be accountable for many of the team’s financial and management reporting deliverables and work closely with teammates and business partners to provide transparent communication of financial insights and analysis. In fostering strong relationships with business partners, the Sr. Analyst will focus on fully understanding business drivers and the underlying financial results, while relentlessly pursuing value generating insights.

        -

        -

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

        -
        • -Strong Business Partner, support the delivery of several of the teams financial and management reports to key stakeholders including month-end and quarter-end reporting packs, Monthly P&L and Key Drivers
          • Review financial data and analyze to ensure accuracy and completeness of deliverables and understand the impacts of relevant performance metrics to the business
          • Leverage Financial and Analytics (MIS) data to provide financial insights through Financial Reporting & Analysis
          • Support team with the analysis of Credit Card portfolio/Balance Sheet, Net Interest Income and Margin, Non -Interest Revenue, PCL, Expenses and key performance metrics
          • Prepare and present monthly financial dashboards for Business Unit Reviews and Management Reporting packages for Credit Cards and Finance Senior Leadership
          • Ad-hoc analysis providing value-add insights to business line partners, finance and other key stakeholders
          • Proactively identify opportunities for reporting improvements and implement
        • Process Improvement – Leverage digital solutions to seek ways to enhance reporting processes which can include, streamlining of operational processes, enhancement to analytical capabilities and reduction in operational risk
        • Expert user of financial reporting, planning and forecasting systems and tools, including EGL/OBI/Smartview and Hyperion
        • Internal Process Control – Maintain an effective system of internal controls over reporting processes to ensure data accuracy and integrity is at its highest level
        • Documentation – Create detailed job-aids, training materials, desktop procedures and documentation of the current reporting processes
        • Strategic Project Analysis including revenue opportunities, strategic transactions, new product/program offerings, amongst many other initiatives
        • +

          +
      +

      +

      +

      We’re here to help

      +

      +

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

      +

      +

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

      +

      +

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

      +

      +

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

      +

      +

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

      +
      ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/VIRTUALR59---HomeRes---ON---BMO/Intermediate-ETL-developer_R230008259?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-07-05T01:47:02.617Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/236957196-intermediate-etl-developer-at-bmo-financial-group,,draft,2023-06-17T01:42:02.842Z,import-xml-feed:BMO-Job-Feed,,,,,,, +79563c38-d35e-4959-87f4-04d30b78a110,236958271,Vector Institute,Business Systems Administrator,on_site,"Ontario, Canada",2023-06-17T02:12:03.520Z,"

      JOB DESCRIPTION

      +

      +

      BUSINESS SYSTEMS ADMINISTRATOR

      +

      +

      POSITION SUMMARY

      +

      +

      The Vector Institute is an independent, not-for-profit Canadian corporation dedicated to AI research.

      +

      We work across sectors to advance AI application, adoption, and commercialization across Canada.

      +

      +

      We are seeking a new Business Systems Administrator role to join our growing Business Computing team in Toronto. The organization is growing and moving into a newly built office at the Schwartz Reisman Innovation Centre in downtown Toronto. This position will play a key role in designing, implementing, and managing all new networking and infrastructure for Vector’s new offices.

      +

      +

      The Vector Institute supports flexible work arrangements. This position requires a reasonable degree of on-site work that will vary depending on the project commitments and organizational activities. As a result, the ability to work remotely will fluctuate and will be determined in accordance with current business needs.

      +

      +

      KEY RESPONSIBILITIES:

      +
        +
      • Assist in the design and implementation of Vector’s new network infrastructure and Wi-Fi infrastructure;
      • +
      • Manage the office network infrastructure and provide support on connectivity issues such as switches, routers, network printers, IP phones, and video conferencing;
      • +
      • Manage the office server and storage infrastructure and provide support as required;
      • +
      • Act as a key member of Vector’s cybersecurity team responsible for implementing, managing, and monitoring security systems and services;
      • +
      • Manage and maintain Vectors WAN and LAN network services (DNS, DHCP, IPS, etc.);
      • +
      • Work collaboratively with the Scientific Computing team to support cross-connectivity between Vector’s office and its scientific computing environment in a remote co-location site;
      • +
      • Provide guidance and support to our community of staff and researchers;
      • +
      • Develop and maintain business infrastructure solutions; and,
      • +
      • Perform routine hardware and software monitoring and maintenance.
      -

      -

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

      -
      • A solid understanding of financial and management reporting principles
      • Strong problem solving, quantitative and analytical skills; attention to details; ability to analyze business results and identify issues and trends
      • Ability to work effectively and achieve results in a matrix organization
      • Ability to work as part of a team and independently
      • Strong interpersonal, communication, and organizational skills a must
      • Strong data management and modelling skills; ability to build financial models and dashboards
      • Excellent communication skills and ability to communicate findings/analysis and present ideas in a clear and concise manner
      • Ability to multi-task, work independently and deliver high-quality results under very tight deadlines; continuously assess priorities and business requirements, and balance between regular deliverables and priority Executive requests
      • Demonstrated leadership skills and stewardship capabilities in a complex and changing environment
      • Understanding of banking financial statements, profitability drivers within Canadian Banking, including knowledge of Retail lending products
      • An understanding of portfolio management and drivers of Net Interest Income (NII) and Margin (NIM), Non-Interest Revenue (NIR), including Product Pricing/Yields, Funds Transfer Pricing methodologies and balance sheet mix and capital management concepts considered an asset
      • Post-secondary degree in Finance, Accounting, Mathematics, Economics or related field
      • MBA, CFA, or CPA preferred
      • Minimum 2 to 4 years FP&A experience
      • Advanced skills with Microsoft Excel, PowerPoint and Think-cell
      • Knowledge of the Bank’s source and reporting systems an asset (i.e., OBI, Hyperion, Smartview)
      • +

        +

        KEY SUCCESS MEASURES:

        +
          +
        • High availability of network, security, and communication services.
        • +
        • Ensures the smooth functioning of the business systems and network infrastructure, through regular monitoring, maintenance, and renewal of equipment and services.
        • +
        • +Builds and maintains tools that facilitate the automated or direct administration of network and computing infrastructure, both locally and on the cloud. +
        -

        -

        What’s in it for you?

        -
        • An inclusive & collaborative working environment that encourages creativity, curiosity, and celebrates success!
        • We offer a competitive rewards package: Performance bonus, Employee Share Ownership Program, and Pension Plan Matching, Health Benefits from day one!
        • Your career matters! You will have access to career development and progression opportunities.
        • +

          PROFILE OF THE IDEAL CANDIDATE:

          +
            +
          • Degree or diploma in computer science or engineering or equivalency through more than five years of experience in network administration in a multiplatform (Mac/Linux/Windows) environment, preferably in a research or academic environment;
          • +
          • Hands on experience maintaining an office local area network including access switches, core switches, and routing;
          • +
          • Hands on experience and understanding of VLANs, routing protocols, policy-based routing, link aggregation and secure VPN tunnels;
          • +
          • Hands-on experience with enterprise firewalls and managing a wireless infrastructure;
          • +
          • Demonstrated ability to learn quickly, prioritize tasks, and resolve problems in a timely manner;
          • +
          • Ability to work autonomously, multi-task, and work in a fast-paced and stressful environment;
          • +
          • Ability to work proactively, addressing potential problems before they occur;
          • +
          • Strong attention to detail; and,
          • +
          • Good verbal and written communication skills.
          -

          -

          #scotiafinancejobs

          -

          -

          Location(s): Canada : Ontario : Toronto

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

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

    ",,https://jobs.scotiabank.com/job/Senior-Analyst%2C-Financial-Planning-and-Analysis/570039017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-03T15:57:04.998Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/239887328-senior-analyst-financial-planning-and-analysis-at-scotiabank,https://jobs.scotiabank.com/job/Senior-Analyst%2C-Financial-Planning-and-Analysis/570039017/,draft,2023-06-26T15:52:02.645Z,import-xml-feed:Scotiabank,,,,,,, +

    +

    QUALIFICATIONS AND EXPERIENCES BELOW ARE CONSIDERED AN ASSET:

    +
      +
    • Experience with multifactor authentication systems;
    • +
    • Cybersecurity experience and/or certifications;
    • +
    • Experience with log management systems such as SIEMs for log collection, consolidation, and analysis; and,
    • +
    • CCNA, or similar experience, is a bonus.
    • +
    +

    ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=9200420850870_2&jobId=448353&lang=en_CA&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2023-07-17T02:12:03.530Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/236958271-business-systems-administrator-at-vector-institute,,draft,2023-06-17T02:12:03.520Z,import-xml-feed:Vector-Institute-Job,,,,,,, af87e4e7-3fc7-4b3f-9b24-aa52b4e79ede,236957759,Borealis AI,Research Engineer,on_site,"Ontario, Canada",2023-06-17T01:58:02.414Z,"

    Borealis AI is a team of researchers and developers dedicated to solving today’s leading problems in machine learning and artificial intelligence. Our researchers are dedicated to pushing the boundaries of theoretical and applied science, while our development team transforms state-of-the-art technologies and algorithms into impactful products with the potential to reach millions of people.

    @@ -64,7 +152,7 @@ af87e4e7-3fc7-4b3f-9b24-aa52b4e79ede,236957759,Borealis AI,Research Engineer,on_

    Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

    Inclusion and Equal Opportunity Employment

    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

    -
    ",,https://www.borealisai.com/careers/?gh_jid=6732396002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-07-17T01:58:02.422Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/236957759-research-engineer-at-borealis-ai,,draft,2023-06-17T01:58:02.414Z,import-xml-feed:Borealis-AI-Job-Feed,,,,,,, +
    ",,https://www.borealisai.com/careers/?gh_jid=6732396002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-07-05T02:03:04.362Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/236957759-research-engineer-at-borealis-ai,,draft,2023-06-17T01:58:02.414Z,import-xml-feed:Borealis-AI-Job-Feed,,,,,,, 3d6526d9-f13e-4231-b284-e8a045dab3d1,236957245,Loblaw Companies Ltd,"Digital Product Manager, Growth & Sales",on_site,"Ontario, Canada",2023-06-17T01:44:02.151Z,"

    Referred applicants should not apply directly to this role.

    All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

    @@ -119,124 +207,7 @@ af87e4e7-3fc7-4b3f-9b24-aa52b4e79ede,236957759,Borealis AI,Research Engineer,on_

    Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

    -
    ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Digital-Product-Manager--Growth---Sales_R2000349362?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-07-17T01:44:02.158Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/236957245-digital-product-manager-growth-sales-at-loblaw-companies-ltd,,draft,2023-06-17T01:44:02.151Z,import-xml-feed:Loblaws-Job-Feed,,,,,,, -79563c38-d35e-4959-87f4-04d30b78a110,236958271,Vector Institute,Business Systems Administrator,on_site,"Ontario, Canada",2023-06-17T02:12:03.520Z,"

    JOB DESCRIPTION

    -

    -

    BUSINESS SYSTEMS ADMINISTRATOR

    -

    -

    POSITION SUMMARY

    -

    -

    The Vector Institute is an independent, not-for-profit Canadian corporation dedicated to AI research.

    -

    We work across sectors to advance AI application, adoption, and commercialization across Canada.

    -

    -

    We are seeking a new Business Systems Administrator role to join our growing Business Computing team in Toronto. The organization is growing and moving into a newly built office at the Schwartz Reisman Innovation Centre in downtown Toronto. This position will play a key role in designing, implementing, and managing all new networking and infrastructure for Vector’s new offices.

    -

    -

    The Vector Institute supports flexible work arrangements. This position requires a reasonable degree of on-site work that will vary depending on the project commitments and organizational activities. As a result, the ability to work remotely will fluctuate and will be determined in accordance with current business needs.

    -

    -

    KEY RESPONSIBILITIES:

    -
      -
    • Assist in the design and implementation of Vector’s new network infrastructure and Wi-Fi infrastructure;
    • -
    • Manage the office network infrastructure and provide support on connectivity issues such as switches, routers, network printers, IP phones, and video conferencing;
    • -
    • Manage the office server and storage infrastructure and provide support as required;
    • -
    • Act as a key member of Vector’s cybersecurity team responsible for implementing, managing, and monitoring security systems and services;
    • -
    • Manage and maintain Vectors WAN and LAN network services (DNS, DHCP, IPS, etc.);
    • -
    • Work collaboratively with the Scientific Computing team to support cross-connectivity between Vector’s office and its scientific computing environment in a remote co-location site;
    • -
    • Provide guidance and support to our community of staff and researchers;
    • -
    • Develop and maintain business infrastructure solutions; and,
    • -
    • Perform routine hardware and software monitoring and maintenance.
    • -
    -

    -

    KEY SUCCESS MEASURES:

    -
      -
    • High availability of network, security, and communication services.
    • -
    • Ensures the smooth functioning of the business systems and network infrastructure, through regular monitoring, maintenance, and renewal of equipment and services.
    • -
    • -Builds and maintains tools that facilitate the automated or direct administration of network and computing infrastructure, both locally and on the cloud. -
    • -
    -

    PROFILE OF THE IDEAL CANDIDATE:

    -
      -
    • Degree or diploma in computer science or engineering or equivalency through more than five years of experience in network administration in a multiplatform (Mac/Linux/Windows) environment, preferably in a research or academic environment;
    • -
    • Hands on experience maintaining an office local area network including access switches, core switches, and routing;
    • -
    • Hands on experience and understanding of VLANs, routing protocols, policy-based routing, link aggregation and secure VPN tunnels;
    • -
    • Hands-on experience with enterprise firewalls and managing a wireless infrastructure;
    • -
    • Demonstrated ability to learn quickly, prioritize tasks, and resolve problems in a timely manner;
    • -
    • Ability to work autonomously, multi-task, and work in a fast-paced and stressful environment;
    • -
    • Ability to work proactively, addressing potential problems before they occur;
    • -
    • Strong attention to detail; and,
    • -
    • Good verbal and written communication skills.
    • -
    -

    -

    QUALIFICATIONS AND EXPERIENCES BELOW ARE CONSIDERED AN ASSET:

    -
      -
    • Experience with multifactor authentication systems;
    • -
    • Cybersecurity experience and/or certifications;
    • -
    • Experience with log management systems such as SIEMs for log collection, consolidation, and analysis; and,
    • -
    • CCNA, or similar experience, is a bonus.
    • -
    -

    ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=9200420850870_2&jobId=448353&lang=en_CA&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2023-07-17T02:12:03.530Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/236958271-business-systems-administrator-at-vector-institute,,draft,2023-06-17T02:12:03.520Z,import-xml-feed:Vector-Institute-Job,,,,,,, -85f86090-ed9f-4f4a-88f1-22324d2cce0d,236957196,BMO Financial Group,Intermediate ETL developer,on_site,"Ontario, Canada",2023-06-17T01:42:02.842Z,"
    -

    Application Deadline:

    07/30/2023

    -

    -

    Address:

    VIRTUAL(R)59 - HomeRes - ON - BMO

    -

    -

    Job Family Group:

    Data Analytics & Reporting

    -

    -

    -

    - -

    -

    -

    We’re here to help

    -

    -

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

    -

    -

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

    -

    -

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

    -

    -

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

    -

    -

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

    -
    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/VIRTUALR59---HomeRes---ON---BMO/Intermediate-ETL-developer_R230008259?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-07-17T01:42:02.852Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/236957196-intermediate-etl-developer-at-bmo-financial-group,,draft,2023-06-17T01:42:02.842Z,import-xml-feed:BMO-Job-Feed,,,,,,, +",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Digital-Product-Manager--Growth---Sales_R2000349362?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-07-11T01:49:02.088Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/236957245-digital-product-manager-growth-sales-at-loblaw-companies-ltd,,draft,2023-06-17T01:44:02.151Z,import-xml-feed:Loblaws-Job-Feed,,,,,,, 6461b010-66d6-4059-8f29-dd2157a7b42d,237206043,Magna International,"Analyst, Canadian Tax",on_site,"Aurora, ONTARIO, CA, L4G 0G9",2023-06-17T16:04:05.694Z,"

    Role Summary

    @@ -286,89 +257,6 @@ af87e4e7-3fc7-4b3f-9b24-aa52b4e79ede,236957759,Borealis AI,Research Engineer,on_

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

    ",,https://jobs.magna.com/job/Aurora-Analyst%2C-Canadian-Tax-ONTA-L4G-0G9/567213617/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-06-19T16:09:03.008Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206043-analyst-canadian-tax-at-magna-international,https://jobs.magna.com/job/Aurora-Analyst%2C-Canadian-Tax-ONTA-L4G-0G9/567213617/,draft,2023-06-17T16:04:05.694Z,import-xml-feed:Scrapy-Scraper,,,,,,, -50719562-910d-4bea-9dc7-8c8cad0d4e71,237206045,Magna International,Maintenance Systems Planner,on_site,"St. Thomas, ONTARIO, CA, N5P 1G6",2023-06-17T16:04:06.380Z,"
    -
    -

    Role Summary

    -

    The Maintenance Systems Planner forms close relationships with maintenance technicians, lead hands and area leaders to plan and coordinate maintenance activities and projects. The Planner creates assets and establishes PMs requirements regarding machines during launch stage, as well as optimizing and continuously improving existing and new PM schedules using preventive and predictive maintenance techniques an supports the transition into Industry 4.0. The Planner utilizes analytical data evaluation tools to evaluate new and existing PMs to improve equipment efficiency to eliminate unplanned downtime and meet our business needs. The Planner is responsible for creating and managing a critical spare parts list during APQP design stage and during production which will be added to CMS for cross referencing purposes throughout production and program decommissioning.

    -
    -
    -

    Key Qualifications/Requirements

    -
    -

    3+ years of manufacturing experience in a technical capacity in maintenance controls, electrical or mechanical.

    -

    Successful completion of the Pemac MMP program is a requirement either before or after hiring.

    -

    Must have strong organizational, interpersonal and communications skills.

    -

    Experienced CMS and / or CMMS user and be proficient in using Microsoft Excel

    -

    Highly analytical in nature, able to interpret, manipulate, and present data

    -

    Solid foundation of equipment reliability concepts.

    -

    Practical knowledge of risk management strategies and practices related to plant and equipment

    -

    Able to interpret preventative maintenance feedback and use this feedback to develop and implement action plans that improve our preventative maintenance programs.

    -

    Able to work in conjunction with skilled trades persons and must have an equal mix of technical and social skills.

    -

    Knowledge of and familiarity with Tooling Build Standards, Machine Build Standard is an asset.

    -

    Knowledgeable in APQP, PPAP, & PFMEA documentation and processes is an asset.

    -
    -
    -
    -

    Key Responsibilities

    -
    -

    1. Weekly plan and schedule corrective and preventive maintenance activities by task and priority level.

    -

    2. Leads a weekly scheduling meeting to achieve agreement and alignment on the upcoming week’s scheduled work, including equipment availability for maintenance activities.

    -

    3. Daily review of all Work Orders that were completed the last 24 hours.

    -

    4. Daily management and review of all new Work Requests from the last 24 hours.

    -

    5. Manage critical spare parts for new and existing programs

    -

    6. Manage work orders, documentation, and assets within the CMMS

    -

    7. Train employees on how to use the CMMS

    -

    8. Demonstrated proficiency working with MS Office applications (Excel, Outlook, Word) is required. Knowledge of CMMS software, (Emaint knowledge is an asset) database and project software required.

    -

    9. Generate and distribute all Maintenance documentation: Work Orders and PMs, Maintenance Wrench Time, Budget spending, and KPI reports.

    -

    10. Examines jobs to be done and determines the best way to accomplish the work. Consults with the requester, area leader, or maintenance leader when necessary.

    -

    11. Strong equipment and operational knowledge is necessary. Have adequate craft knowledge to estimate labour hours and materials to visualize the job to be performed.

    -

    12. Examines jobs to be done and determines the best way to accomplish the work. Consults with the requester, area leader, or maintenance leader when necessary.

    -

    13. Strong equipment and operational knowledge is necessary. Have adequate craft knowledge to estimate labour hours and materials to visualize the job to be performed.

    -

    14. Identifies and obtains necessary materials, work instructions, manuals, appropriate tools, etc. to execute the planned work order.

    -

    15. A high level of planning and organizing skills are required to be proficient in the position. Ability to manage multiple tasks and multiple priorities simultaneously.

    -
    -
    -
    -

    Additional Information

    -
    -

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

    -

    Responsible for confidential information. Works in a factory environment and may be exposed to elements such as noise and temperature during time spent on the plant floor.

    -
    -
    -
    -

    Awareness. Unity. Empowerment.

    -

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

    -
    -
    ",,https://jobs.magna.com/job/Maintenance-Systems-Planner/567766417/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-17T16:04:06.380Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206045-maintenance-systems-planner-at-magna-international,https://jobs.magna.com/job/Maintenance-Systems-Planner/567766417/,draft,2023-06-17T16:04:06.380Z,import-xml-feed:Scrapy-Scraper,,,,,,, -f7b69e4d-14ce-48ef-831c-bd772a2ff985,237205968,Scotiabank,"Manager, Customer Level Pricing",on_site,Canada : Ontario : Toronto,2023-06-17T15:52:03.696Z,"

    -

    -

    -

    -

    Requisition ID: 179536

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

    -

    -

    The Advanced Analytics team, within CCAU Analytics, supports the revenue and volume growth for each of the product business line (including lending products such as Mortgages, Lines of Credit, Credit Cards, Loans, and deposits such as Savings Accounts and TDs) by providing advanced analytical pricing solutions, influencing Scotia’s strategic decisions on consumer pricing (rates / fees), and other consumer behavior initiatives.

    -

    -

    Reporting to the Senior Manager, Customer Level Pricing, the Manager is responsible for supporting all Pricing initiatives required to increase customer centricity in setting and executing our product prices – including, but not limited to,

    -

    -
    • Working with product, finance, treasury, channel and analytics partners to collect customer level pricing user-stories.
    • Delivering on the roadmap to drive customer level pricing for the CCAU
    • Performing necessary analytics, and test-and-learns, to gain required customer insights.
    • Working with technology partners to align IT and pricing roadmaps.
    • Supporting the business development, operations, and project teams with the required information for product design, policy, and other recommendations to ensure they meet Basel, treasury, etc. requirements
    • Overseeing the preparation of regular and ad hoc MIS reports/dashboards and portfolio analysis to assist senior management in decision-making by incorporating information such as volume, margin, profitability, etc.
    • -
    -

    -

    Accountabilities:

    -

    -
    • Performing pricing analytics and the creation / management of MIS reports/dashboards, analyzing and measuring business line and overall performance by:
      • Implementing necessary experiments to build a repertoire of learnings to inform customer-level pricing approach, measure their success, and build an information base of pricing approaches that are accretive to bank results
      • Ensuring data is obtained in a timely manner from a variety of sources including Volumes, FTPs, rates, competitors’ rates, etc. to create the necessary daily, monthly dashboards for CCAU Banking products
      • Reviewing data for reasonability and completeness; ensuring integrity of data by performing various cross-checks and balances to source data and other related reports
      • Reporting on trend lines (margins, deposit growth by source) performance versus plan
      • Participating and contributing to process improvements to existing reports including identifying operational issues & procedure documentation
      • Developing/modifying financial models and reports as required to support decision-making
    • -
    -

    -
    • Perform timely and actionable analyses of financial and non-financial results and trends to support the development of strategies, optimizing product profitability and the Bank’s competitive position by:
      • Ensuring the preparation and development of ad hoc reports and analyses to assess the financial effectiveness of existing and proposed products, features, programs, campaigns, partner arrangements, etc.
      • Development of evaluation models/tools that accurately forecast the impact of proposed strategies and initiatives and key drivers of various CCAU Banking businesses
      • Overseeing the analysis of raw input from disparate sources to develop recommendations to support key planning assumptions such as market growth expectations, account growth, volume growth, margins and net-interest revenue
      • Developing dealer / broker volume, growth, redemption trends etc. for dealer/ broker channels
    • -
    -

    -
    • Provide support to the preparation of month-end/year-end financial statements and the profit planning process by:
      • Ensuring the completion of monthly statement of revenue and expenses, trend analysis relative to business plan, manage the quarterly volume and forecasting process in partnership with IB Finance
      • Preparing forecasts, mini forecasts, dashboard reports and various budgetary updates
      • Assisting in compiling presentations for Senior Management and Executive
    • -
    -

    -

    Education and Experience:

    -

    -
    • University degree with a minimum 5 years financial services experience
    • Strong knowledge of financial and statistical modelling, Machine Learning principles and accounting policies to develop models and reports
    • Good understanding of pricing methodologies, and other industry regulations impacting loan and deposit pricing
    • Excellent quantitative technical skills
    • Extensive knowledge of Microsoft Excel, PowerPoint, Power BI, Tableau, SAS, R and Python
    • Strong data science skills
    • Strong knowledge of the Third-Party Channel; Bank of Nova Scotia financial and GL systems and processes
    • Understanding of the banking sector in Caribbean, Central America, and Uruguay, both the advisory channel as well as retail banking, including available products, market trends, existing and emerging players, competitive advantages and best practices
    • Bilingual: English/Spanish is preferred
    • -
    -

    -

    Location(s): Canada : Ontario : Toronto

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

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

    ",,https://jobs.scotiabank.com/job/Manager%2C-Customer-Level-Pricing/571240317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-26T15:57:02.883Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237205968-manager-customer-level-pricing-at-scotiabank,https://jobs.scotiabank.com/job/Manager%2C-Customer-Level-Pricing/571240317/,draft,2023-06-17T15:52:03.696Z,import-xml-feed:Scotiabank,,,,,,, 15f8c05a-00b8-47c8-9378-117bbcf8f835,237205999,TD Bank Group,"Manager, Business Application Mgmt (Product SME)",on_site,"Toronto, ON",2023-06-17T15:53:02.524Z,"

    Company Overview

    @@ -459,62 +347,36 @@ f7b69e4d-14ce-48ef-831c-bd772a2ff985,237205968,Scotiabank,"Manager, Customer Lev

    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

    ",,https://jobs.td.com/en-CA/jobs/18588802/manager-business-application-mgmt-product-sme-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-07-17T15:53:02.535Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237205999-manager-business-application-mgmt-product-sme-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18588802/manager-business-application-mgmt-product-sme-toronto-ca/,draft,2023-06-17T15:53:02.524Z,import-xml-feed:TD-Bank-Group---Job,,,,,,, -356422f7-bd47-4dc3-a104-b50c2f884156,237677573,RBC,"2023 CFO, Fall Benchmarking Strategy and Model Analytics Financial Analyst (4 Months)",on_site,"Toronto, ON, Canada",2023-06-20T01:51:03.695Z,"
    -

    Come Work with Us!

    At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

    Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

    -

    Job Title

    2023 CFO, Fall Benchmarking Strategy and Model Analytics Financial Analyst (4 Months)

    -

    -

    Job Description

    -

    What will you do?

    -

    1. Play a central oversight and collaboration role across teams within the department. This includes providing detailed data and analysis that will help other teams within the group enhance and transform their existing reporting processes and dialogue with key stakeholders.

    -

    -

    2. Build a thorough knowledge of key Capital Markets businesses and financial reporting processes.

    -

    -

    3. Be instrumental in advanced analytic capabilities that are used to support advisory functions to the Capital Market’s senior management team across Finance and the Front Office, Group Risk Management by aiding in the development and advancement of financial models and data inventories/dashboards.

    -

    -

    What do you need to succeed?

    -

    Must-have

    -
      -
    • Ability to convert financial data and knowledge into clear and concise messaging with actionable advice for business partners

    • -
    • Excellent problem solving and proven analytical skills, with a high degree of initiative

    • -
    • Solid data engineering / manipulation experience

    • -
    • Ability to work under pressure and demonstrate multi-tasking skill

    • -
    • Advance knowledge of MS Excel (VBA) and PowerPoint

    • -
    • Excellent oral and written communication skills

    • +f7b69e4d-14ce-48ef-831c-bd772a2ff985,237205968,Scotiabank,"Manager, Customer Level Pricing",on_site,Canada : Ontario : Toronto,2023-06-17T15:52:03.696Z,"

      +

      +

      +

      +

      Requisition ID: 179536

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

      +

      +

      The Advanced Analytics team, within CCAU Analytics, supports the revenue and volume growth for each of the product business line (including lending products such as Mortgages, Lines of Credit, Credit Cards, Loans, and deposits such as Savings Accounts and TDs) by providing advanced analytical pricing solutions, influencing Scotia’s strategic decisions on consumer pricing (rates / fees), and other consumer behavior initiatives.

      +

      +

      Reporting to the Senior Manager, Customer Level Pricing, the Manager is responsible for supporting all Pricing initiatives required to increase customer centricity in setting and executing our product prices – including, but not limited to,

      +

      +
      • Working with product, finance, treasury, channel and analytics partners to collect customer level pricing user-stories.
      • Delivering on the roadmap to drive customer level pricing for the CCAU
      • Performing necessary analytics, and test-and-learns, to gain required customer insights.
      • Working with technology partners to align IT and pricing roadmaps.
      • Supporting the business development, operations, and project teams with the required information for product design, policy, and other recommendations to ensure they meet Basel, treasury, etc. requirements
      • Overseeing the preparation of regular and ad hoc MIS reports/dashboards and portfolio analysis to assist senior management in decision-making by incorporating information such as volume, margin, profitability, etc.
      -

      -

      Nice-to-have

      -
        -
      • Programming experience in R or Python is an asset

      • -
      • Programming experience in SQL is an asset

      • -
      • Prior experience in discounted cash flow (DCF) model is a plus

      • -
      • Knowledge about Capital Markets businesses is a plus

      • -
      • Prior knowledge on Stress Testing models (EWST / CCAR) is a plus

      • +

        +

        Accountabilities:

        +

        +
        • Performing pricing analytics and the creation / management of MIS reports/dashboards, analyzing and measuring business line and overall performance by:
          • Implementing necessary experiments to build a repertoire of learnings to inform customer-level pricing approach, measure their success, and build an information base of pricing approaches that are accretive to bank results
          • Ensuring data is obtained in a timely manner from a variety of sources including Volumes, FTPs, rates, competitors’ rates, etc. to create the necessary daily, monthly dashboards for CCAU Banking products
          • Reviewing data for reasonability and completeness; ensuring integrity of data by performing various cross-checks and balances to source data and other related reports
          • Reporting on trend lines (margins, deposit growth by source) performance versus plan
          • Participating and contributing to process improvements to existing reports including identifying operational issues & procedure documentation
          • Developing/modifying financial models and reports as required to support decision-making
        -

        -

        -

        What’s in it for you?

        -

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

        -
          -
        • Leaders who support your development through coaching and managing opportunities

        • -
        • Ability to make a difference and lasting impact

        • -
        • Work in a dynamic, collaborative, progressive, and high-performing team

        • -
        • Opportunities to do challenging work and make a difference

        • -
        • Opportunities to building close relationships

        • +

          +
          • Perform timely and actionable analyses of financial and non-financial results and trends to support the development of strategies, optimizing product profitability and the Bank’s competitive position by:
            • Ensuring the preparation and development of ad hoc reports and analyses to assess the financial effectiveness of existing and proposed products, features, programs, campaigns, partner arrangements, etc.
            • Development of evaluation models/tools that accurately forecast the impact of proposed strategies and initiatives and key drivers of various CCAU Banking businesses
            • Overseeing the analysis of raw input from disparate sources to develop recommendations to support key planning assumptions such as market growth expectations, account growth, volume growth, margins and net-interest revenue
            • Developing dealer / broker volume, growth, redemption trends etc. for dealer/ broker channels
          -

          -

          -

          Job Summary

          -

          This is an exciting opportunity in Benchmarking Strategy and Model Analytics team under Capital Markets and Treasury Services Performance Management team. In this role, you will be at the forefront of delivering value-add inputs and support in developing model frameworks that enable our Finance leaders and advisory team to enhance the current forecasting and financial planning process as well as enrich the data strategy across the group and broader RBC enterprise. The ultimate goal of Capital Market’s financial modelling initiative is develop a future state where business forecasts are supported by bottoms-up macroeconomic data and models, and where financial advice, assessment and tracking business results, competitive benchmarking, real-time decision support, detailed analytics, and scenario / what-if attribution analysis can be tied to macroeconomic indicators. Data strategy efforts that the team leads are also focused on driving forward the “Future of Finance” in efforts to enrich the existing data infrastructure to promote greater value-add insights and advice offered by the team to senior management, the CFO and the Capital Market’s front office.

          Address:

          TORONTO, Ontario, Canada

          City:

          CAN-ON-TORONTO

          Country:

          Canada

          Work hours/week:

          37.5

          Employment Type:

          Full time

          Platform:

          Office of the CFO

          Job Type:

          Student/Coop (Fixed Term)

          Pay Type:

          Salaried

          Posted Date:

          2023-05-19

          Application Deadline:

          2023-06-18

          -
          -

          Inclusion and Equal Opportunity Employment

          -

          -

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

          -
          -
          -

          -

          Join our Talent Community

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

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

          -
          -
      ",,https://jobs.rbc.com/ca/en/job/R-0000057467/2023-CFO-Fall-Benchmarking-Strategy-and-Model-Analytics-Financial-Analyst-4-Months,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-07-20T01:51:03.704Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/237677573-2023-cfo-fall-benchmarking-strategy-and-model-analytics-financial-analyst-4-months-at-rbc,,draft,2023-06-20T01:51:03.695Z,import-xml-feed:RBC-Job-Feed,,,,,,, +

      +
      • Provide support to the preparation of month-end/year-end financial statements and the profit planning process by:
        • Ensuring the completion of monthly statement of revenue and expenses, trend analysis relative to business plan, manage the quarterly volume and forecasting process in partnership with IB Finance
        • Preparing forecasts, mini forecasts, dashboard reports and various budgetary updates
        • Assisting in compiling presentations for Senior Management and Executive
      • +
      +

      +

      Education and Experience:

      +

      +
      • University degree with a minimum 5 years financial services experience
      • Strong knowledge of financial and statistical modelling, Machine Learning principles and accounting policies to develop models and reports
      • Good understanding of pricing methodologies, and other industry regulations impacting loan and deposit pricing
      • Excellent quantitative technical skills
      • Extensive knowledge of Microsoft Excel, PowerPoint, Power BI, Tableau, SAS, R and Python
      • Strong data science skills
      • Strong knowledge of the Third-Party Channel; Bank of Nova Scotia financial and GL systems and processes
      • Understanding of the banking sector in Caribbean, Central America, and Uruguay, both the advisory channel as well as retail banking, including available products, market trends, existing and emerging players, competitive advantages and best practices
      • Bilingual: English/Spanish is preferred
      • +
      +

      +

      Location(s): Canada : Ontario : Toronto

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

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

    ",,https://jobs.scotiabank.com/job/Manager%2C-Customer-Level-Pricing/571240317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-26T15:57:02.883Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237205968-manager-customer-level-pricing-at-scotiabank,https://jobs.scotiabank.com/job/Manager%2C-Customer-Level-Pricing/571240317/,draft,2023-06-17T15:52:03.696Z,import-xml-feed:Scotiabank,,,,,,, b1ee3c5a-9489-4f15-9aef-1877f1dd4e2b,237677737,Sun Life Financial,Senior Campaign Data Analyst,on_site,"Ontario, Canada",2023-06-20T02:15:02.438Z,"

    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

    @@ -599,7 +461,995 @@ b1ee3c5a-9489-4f15-9aef-1877f1dd4e2b,237677737,Sun Life Financial,Senior Campaig

    Salary Range:

    74,100/74 100 - 120,800/120 800

    Job Category:

    Advanced Analytics

    -

    Posting End Date:

    18/06/2023
    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Campaign-Data-Analyst_JR00081613?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-07-20T02:15:02.448Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/237677737-senior-campaign-data-analyst-at-sun-life-financial,,draft,2023-06-20T02:15:02.438Z,import-xml-feed:Sunlife-Job-Feed,,,,,,, +

    Posting End Date:

    18/06/2023
    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Campaign-Data-Analyst_JR00081613?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-07-05T02:20:02.217Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/237677737-senior-campaign-data-analyst-at-sun-life-financial,,draft,2023-06-20T02:15:02.438Z,import-xml-feed:Sunlife-Job-Feed,,,,,,, +356422f7-bd47-4dc3-a104-b50c2f884156,237677573,RBC,"2023 CFO, Fall Benchmarking Strategy and Model Analytics Financial Analyst (4 Months)",on_site,"Toronto, ON, Canada",2023-06-20T01:51:03.695Z,"
    +

    Come Work with Us!

    At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

    Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

    +

    Job Title

    2023 CFO, Fall Benchmarking Strategy and Model Analytics Financial Analyst (4 Months)

    +

    +

    Job Description

    +

    What will you do?

    +

    1. Play a central oversight and collaboration role across teams within the department. This includes providing detailed data and analysis that will help other teams within the group enhance and transform their existing reporting processes and dialogue with key stakeholders.

    +

    +

    2. Build a thorough knowledge of key Capital Markets businesses and financial reporting processes.

    +

    +

    3. Be instrumental in advanced analytic capabilities that are used to support advisory functions to the Capital Market’s senior management team across Finance and the Front Office, Group Risk Management by aiding in the development and advancement of financial models and data inventories/dashboards.

    +

    +

    What do you need to succeed?

    +

    Must-have

    + +

    +

    Nice-to-have

    + +

    +

    +

    What’s in it for you?

    +

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

    + +

    +

    +

    Job Summary

    +

    This is an exciting opportunity in Benchmarking Strategy and Model Analytics team under Capital Markets and Treasury Services Performance Management team. In this role, you will be at the forefront of delivering value-add inputs and support in developing model frameworks that enable our Finance leaders and advisory team to enhance the current forecasting and financial planning process as well as enrich the data strategy across the group and broader RBC enterprise. The ultimate goal of Capital Market’s financial modelling initiative is develop a future state where business forecasts are supported by bottoms-up macroeconomic data and models, and where financial advice, assessment and tracking business results, competitive benchmarking, real-time decision support, detailed analytics, and scenario / what-if attribution analysis can be tied to macroeconomic indicators. Data strategy efforts that the team leads are also focused on driving forward the “Future of Finance” in efforts to enrich the existing data infrastructure to promote greater value-add insights and advice offered by the team to senior management, the CFO and the Capital Market’s front office.

    Address:

    TORONTO, Ontario, Canada

    City:

    CAN-ON-TORONTO

    Country:

    Canada

    Work hours/week:

    37.5

    Employment Type:

    Full time

    Platform:

    Office of the CFO

    Job Type:

    Student/Coop (Fixed Term)

    Pay Type:

    Salaried

    Posted Date:

    2023-05-19

    Application Deadline:

    2023-06-18

    +
    +

    Inclusion and Equal Opportunity Employment

    +

    +

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

    +
    +
    +

    +

    Join our Talent Community

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

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

    +
    +
    ",,https://jobs.rbc.com/ca/en/job/R-0000057467/2023-CFO-Fall-Benchmarking-Strategy-and-Model-Analytics-Financial-Analyst-4-Months,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-07-05T01:56:04.198Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/237677573-2023-cfo-fall-benchmarking-strategy-and-model-analytics-financial-analyst-4-months-at-rbc,,draft,2023-06-20T01:51:03.695Z,import-xml-feed:RBC-Job-Feed,,,,,,, +ee0cfefc-088a-4f80-97b9-e17db1e4215b,243216684,RBC,"Supervisor, Data Service Delivery",on_site,"Toronto, ON, Canada",2023-07-05T01:51:03.283Z,"
    +

    Come Work with Us!

    At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

    Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

    +

    Job Title

    Supervisor, Data Service Delivery

    +

    +

    Job Description

    +

    What is the opportunity?

    +

    RBC Investor & Treasury Services Malaysia is a processing center of operational excellence supporting 10 countries across three geographical time zones. Malaysia is one of two operational processing hubs that supports Custody - Transaction Management; Settlements; NAV Production; Fund Reporting; Shareholder Services; Global Fund Platform Services; Data Service Delivery; Entitlements – income and corporate actions and Reconciliations. The country employs a Global Operating Model to maximise efficiencies across times zones and supports a 24/5 operational capability. The objectives for Malaysia are to enhance the scalability of our global operations, improve service quality via our ‘centres of excellence’ and to implement/leverage standard processes globally.

    +

    +

    This role will be responsible for day to day processing of Portfolio Securities Valuation for Fund Administered under various platforms (12 Entities of the Group) Including: CPS Pricing L1/L2 – FX & Interest Rates L1/L2 – Stale Price Analysis L1 – Customer Support L1/L2 – EUCs Update and Daily Maintenance L1/L2 – CPS Parameterization L3 (Day to Day) – (*L1:Maker / L2: Reviewer / L3: Super User Access)

    +

    +

    You will be supporting Europe (LUX/UK) business, working on shift hours of 4:00pm – 1:00am.

    +

    +

    What will you do?

    + +

    +

    What do you need to succeed?

    +

    Must-have

    + +

    +

    Nice-to-have

    + +

    +

    What’s in it for you?

    +

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

    + +

    +

    +

    +

    Job Summary

    +

    Address:

    Cyberjaya, Selangor, Malaysia

    City:

    MYS-SELANGOR-CYBERJAYA

    Country:

    Malaysia

    Work hours/week:

    40

    Employment Type:

    Full time

    Platform:

    Wealth Management

    Job Type:

    Regular

    Pay Type:

    Salaried

    Posted Date:

    2023-06-20

    Application Deadline:

    2023-07-07
    +

    Inclusion and Equal Opportunity Employment

    +

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

    +
    +

    Join our Talent Community

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

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

    +
    ",,https://jobs.rbc.com/ca/en/job/R-0000061900/Supervisor-Data-Service-Delivery,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-07-11T01:56:02.885Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243216684-supervisor-data-service-delivery-at-rbc,,draft,2023-07-05T01:51:03.283Z,import-xml-feed:RBC-Job-Feed,,,,,,, +48fb6deb-e4a5-4aae-8733-340b93e7063b,243217462,Avidbots,"Senior Manager, Hardware & Software QA Testing",on_site,"Ontario, Canada",2023-07-05T02:18:05.852Z,"
    +

    The QA team at Avidbots is responsible for hardware and software validation testing for our cleaning robots. The team is in the process of creating the next generation platform for our future products. The role of the QA manager is to become the people leader for the team, as well as spending 25%-50% of their time doing detailed design work/other engineering activities. The QA manager will also be key in selecting the right resources and test strategies for projects and programs as part of our resource planning process. The ideal candidate has several years of experience as in software and system testing, and also enjoys coaching, mentoring and supporting engineers.

    +


    +

    Day-to-Day Activities

    + +

    +

    Requirements

    + + +


    +

    Nice to Haves

    + +

    +

    About Avidbots

    +

    At Avidbots, we believe in solving real world problems with autonomous cleaning robotic solutions to unlock humanity’s potential. Neo is our current groundbreaking autonomous floor scrubbing robot that enhances facility cleanliness around the world empowering reallocation of human capital to higher priority focuses… and we’re just getting started!

    +


    +

    Headquartered in Kitchener, ON, Canada, we are an employee-focused organization that has been certified a Great Place to Work® consecutively for the last 4 years and one of Deloitte\'s Fast 500 (2021).

    +

    Now is your opportunity to join a fast-growing technology company built on teamwork, innovation, and boundless ambition!

    +

    Check Neo out!

    +


    +

    ***Applicants must be currently authorized to work in Canada for any employer

    +


    +

    CAD: Avidbots is an equal opportunity employer committed to building a diverse workforce. As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. We are a diverse Canadian company founded by international students, and we are proud of the strengths our diversity brings. We hold our executives to the same standards as all of our employees, and we believe work should be a safe space for all. Avidbots has an absolutely zero tolerance policy for discrimination or hate against members of any race, religion or sexual orientation. We also offer a professional working environment and culture and believe that work / life balance is critical to ensure the happiness/well-being of our people.

    +


    Upon request, Avidbots will provide reasonable accommodation for applicants with disabilities throughout the recruitment and selection process.

    +
    ",,https://avidbots.bamboohr.com/careers/671,feed-importer@jobboard.io,,,,2023-07-14T02:23:03.254Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217462-senior-manager-hardware-software-qa-testing-at-avidbots,,draft,2023-07-05T02:18:05.852Z,import-xml-feed:Selenium-Scraper,,,,,,, +df80d208-e232-44fa-823d-873448827ae5,243217465,Clearpath,Hardware Test Co-op,on_site,"Ontario, Canada",2023-07-05T02:18:06.202Z,"

    Description

    +

    Position: Hardware Test Co-op
    Location: Cambridge, Ontario
    Term: Fall 2023
    Study Level: Senior
    Area of Study: Mechanical / Systems / Mechatronics Engineering

    +

    About Clearpath Robotics Inc.

    +

    Clearpath Robotics Inc. develops the future of robotics technology through development and sale of industry-leading self-driving technology, products, and services to over 500 of the world’s most innovative brands. Proprietary hardware, software, and services are delivered through the company’s research and industrial divisions: Clearpath Robotics and OTTO™ Motors. Clearpath Robotics Inc. is an award-winning company with recent awards including Robotics Business Review Top 50 Robotics Company, Edison Award for Innovation, Business Insider Top 40 under 40, and Canada’s Top 100 Employers.

    +

    About OTTO™ Motors

    +

    OTTO™ Motors is making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self-driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit www.ottomotors.com.

    +

    According to US NSC statistics from 2019: 8,140 injuries were related to forklift operations. These numbers have continued to increase. By replacing manually driven forklifts with autonomous vehicles, accident rates can be reduced and lives can be saved. Even if the work you will be doing impacts those numbers by 0.1%, it means that 8 people will be going home safely at the end of their shift. To us, it matters.

    +

    About the Job

    +

    Want to break stuff? Want to do things nobody has done before? Join the Hardware Test Team at OTTO Motors! We experiment with state-of-the-art AMR technology to discover its strengths and weaknesses.

    +

    The Hardware Test Team is responsible for devising and enacting test plans that provide real actionable data that directly influences product design, configuration, and standards compliance. The team is responsible for executing system and subsystem level design validation and product reliability tests to further improve the industrial strength of our product line. You will be an integral part of a team focused on providing real data that makes a significant impact on the way design choices are made at OTTO Motors.

    +

    We will need you to always be ready to think outside the box, troubleshoot problems, and desire to apply your technical skills to break down challenges & problems, and work on them one at a time. We will need you to focus on the purpose of the tests in hand, while having the bigger picture in mind how your contributions will result in a positive impact for our engineering design and safety of our products.

    +

    Your primary responsibilities will include:

    + +

    Additional responsibilities include:

    + +

    Required skills & Experience:

    + +

    Bonus Points For:

    + +

    At Clearpath, we are committed to building and supporting a culture of diversity, inclusion, and accessibility. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, veteran status, sex, sexual orientation, gender identity, and expression. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

    ",,http://jobs.jobvite.com/clearpath/job/o8ftnfwX,feed-importer@jobboard.io,,,,2023-08-04T02:18:06.202Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217465-hardware-test-co-op-at-clearpath,,draft,2023-07-05T02:18:06.202Z,import-xml-feed:Selenium-Scraper,,,,,,, +d0ea7167-ab7e-494e-8dd4-c6642312926c,243217448,Avidbots,Technical Support Specialist,on_site,"Ontario, Canada",2023-07-05T02:18:04.189Z,"
    +

    Avidbots bring robots to everyday life to expand human potential. Our ground-breaking product, the Neo autonomous floor scrubbing robot, is deployed around the world and trusted by leading facilities and building service companies. Headquartered in Kitchener, ON, Canada, Avidbots is a 100% vertically integrated technology company, offering comprehensive service and support to customers on 5 continents.

    +


    +

    About the Role

    +

    We are looking for a Technical Support Specialist, enthusiastic, customer-centric to help support our robots, customers, and technicians in the field, able to interact with people, and excel in a fast-moving & dynamic environment. You are highly skilled at uncovering customers’ needs and following through with effective solutions. The Technical Support Specialist is critical to our customer’s success by providing them with excellent customer service and helping resolve technical issues quickly and professionally. This role reports to the Team Lead - Technical Support.

    +


    +

    Key skills, experience, and responsibilities

    + +
    ",,https://avidbots.bamboohr.com/careers/262,feed-importer@jobboard.io,,,,2023-08-04T02:18:04.189Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217448-technical-support-specialist-at-avidbots,,draft,2023-07-05T02:18:04.189Z,import-xml-feed:Selenium-Scraper,,,,,,, +5be3c6bc-1563-4e3d-a88b-009c083761f3,243217494,TELUS,Senior API & Data Management Developer,on_site,"Ontario, Canada",2023-07-05T02:18:10.025Z,"
    +
    +

    Description

    +
    +

    +

    Join our team and what we’ll accomplish together

    +

    +

    The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions. We are doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI tooling and high quality data. We have a data-product and data platform oriented culture and we are always keeping an eye on the horizon, preparing for the next big thing.

    +

    +

    We are entrepreneurial and passionate, believers that so much more is possible and can be achieved by creating value and great outcomes for our customers, team members, communities, and environment and that through meaningful transformation we can integrate dynamic change in our professional lives.

    +

    +

    Our team members appreciate diversity of thinking, ideas and experiences, and are always learning, experimenting and applying tuition value into everything we do.

    +

    +

    As an API & Data Management Developer in the Metadata Management Program, you’ll contribute to the design, development and support of a variety of integration and process automation techniques to ensure accurate ingestion of technical metadata from many source systems. You will design and develop APIs to enable programmatic consumption of metadata by consumers external to the metadata management platform. In addition you will ensure reliable and consistent processing to our Collibra cloud platform and automate information lifecycle management processes using web enabled workflows.

    +

    +

    As a trusted technical expert, you will collaborate with various business units and demonstrate thought leadership when sitting at the intersection between privacy, ethics, technology, data and consumers to ensure it is leveraged in a respectful manner while continuing to advance our reputation of being trustworthy through transparent communication.

    +
    +
    +
    +

    What you\'ll do

    +
    +

    +
      +
    • Work with business stakeholders on the adoption and onboarding of the TELUS Metadata Management Tool powered by Collibra (training and technical support)
    • +
    • Collaborate with business stakeholders to define integration approaches, identify the best techniques, ensure capture and storage of all available metadata, ensure durable API processing is available to subscription customers
    • +
    • Support and maintain the API enablement of the TELUS Metadata Management Tool powered by Collibra through the entire lifecycle from design to deployment within the TELUS cloud environment
    • +
    • Work with the supporting teams, organizations and vendors to provide updates to existing deployed technologies and collect information from production systems for analysis
    • +
    • Define, enable, test and automate scripts for integration and process automation activities including documentation, work products and team presentations as well
    • +
    • Develop test strategies and site reliability engineering measures for data products and solutions
    • +
    • Participate in agile development scrums and solutions reviews
    • +
    • Lead resolution of critical operations issues including post-implementation reviews
    • +
    • Contribute to the strategic direction and evolution of TELUS Enterprise Metadata & Data Quality Management application
    • +
    +

    +

    #DSEjobs

    +
    +
    +
    +

    Qualifications

    +
    +

    +

    What you will bring

    +

    +
      +
    • You are sought out for your strong understanding of Metadata Management, Data Quality, Data Lineage and Data Management
    • +
    • You are respected for your knowledge of Solution Development and Data Management Lifecycles
    • +
    • You are recognized for your understanding of integration patterns including RESTful architecture and patterns, APIs and event based processing
    • +
    • You are hands on in Windows Operating Systems, Unix, Linux, JSOn, Yaml, Swagger and with GCP Kubernetes (GKE), GCP Development and deployment using a CI/CD pipeline including Git, terraform, cloud build and deploy
    • +
    • You are commended for your expertise with Collibra - including managing system activities, tenant administration, user groups creation etc
    • +
    • You are recognized for your understanding of and experience with programming in JAVA especially Springboot or equivalent, with Collibra and Collibra APIs or GCP SDK experience
    • +
    • You are recognized for your understanding of and experience with Oracle, SQL server, GCP BigQuery,PostgreSQL,and NoSQL
    • +
    • You are an expert communicator and strategic thinker, able to provide a consultative approach in alignment with the Telco Management Industry Framework
    • +
    • You are an excellent and effective presenter able to communicate ideas in a clear and concise manner
    • +
    • You are an effective influencer and negotiator, able to be persuasive while upholding commitments to our customers, stakeholders and TELUS’ commitment to integrity
    • +
    • Fluency in speaking, reading and writing in English
    • +
    • 4+ years Data Engineering experience / 2 year data solution architecture and design
    • +
    +

    +

    Great-to-Haves

    +

    +
      +
    • University degree in computer science and/or 5 years of working experience in Information Management
    • +
    • Demonstrable DAMA international BOK Framework knowledge and/or application
    • +
    • Demonstrated TM Forum Frameworxs knowledge
    • +
    • Fluency in speaking, reading and writing in French
    • +
    +

    #DSEjobs

    +

    #LI-REMOTE

    +

    +

    #DSEjobs

    +
    +
    +
    ",,https://careers.telus.com/job/Toronto-Senior-API-&-Data-Management-Developer-ON/568225417/,feed-importer@jobboard.io,,,,2023-07-07T02:23:03.080Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217494-senior-api-data-management-developer-at-telus,,draft,2023-07-05T02:18:10.025Z,import-xml-feed:Selenium-Scraper,,,,,,, +527dfff6-957a-4fb2-b62c-d6a63184888d,243217480,Clearpath,Robot Builder Co-op/Intern,on_site,"Ontario, Canada",2023-07-05T02:18:08.242Z,"

    Description

    Position at Clearpath Inc.

    +

    Position: Robot Builder Co-op
    Location: Kitchener, Ontario
    Study Level: Junior
    Term: Fall 2023

    About Clearpath Robotics Inc.

    +

    Clearpath Robotics Inc. develops the future of robotics technology through development and sale of industry-leading self-driving technology, products, and services to over 500 of the world’s most innovative brands. Proprietary hardware, software, and services are delivered through the company’s research and industrial divisions: Clearpath Robotics and OTTO™ Motors. Clearpath Robotics Inc. is an award-winning company with recent awards including Robotics Business Review Top 50 Robotics Company, Edison Award for Innovation, Business Insider Top 40 under 40, and Canada’s Top 100 Employers.

    +

    About the Job:

    +

    We are currently selling more robots than we can build! We require a handy individual to take charge of assembling a variety of different platforms and ensuring that we perpetually strive for a higher level of quality. We need a Robot Builder to take responsibility in assembling our core products along with their accessories.

    +

    You will contribute to a team dedicated to seeing a robotic platform from start to finish. Additionally, when you are not wrenchin’ down screws, you will be tasked with maintaining the organization and cleanliness of the production area.

    +

    This position requires the worker to be on site for the full daily shift.

    +

    Your primary responsibilities will be:

    + +

    About You:

    +

    You want to work for a small company that thinks big and dreams huge. You are driven, view work as more than just a job, and are never satisfied doing a job less than 100%. You want to be surrounded by people like you; creative, fun-loving, and passionate about their work. You are motivated by making an impact on your workplace and you thrive on challenging and rewarding problems.

    +

    Required Skills:

    + +

    Bonus points for:

    + +

    At Clearpath, we are committed to building and supporting a culture of diversity, inclusion, and accessibility. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, veteran status, sex, sexual orientation, gender identity, and expression. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

    ",,http://jobs.jobvite.com/clearpath/job/ozvwnfwH,feed-importer@jobboard.io,,,,2023-08-04T02:18:08.242Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217480-robot-builder-co-op-intern-at-clearpath,,draft,2023-07-05T02:18:08.242Z,import-xml-feed:Selenium-Scraper,,,,,,, +be0e0adc-ebe3-4b08-91ec-93ac2b3d1d05,243217482,Clearpath,Staff Product Manager,on_site,"Ontario, Canada",2023-07-05T02:18:08.687Z,"

    Description

    +

    Position: Staff Product Manager
    Location: Kitchener, Ontario
    Job Type: Full-Time Permanent
    Experience: 8+ Years of relevant work experience
    Education: Undergraduate degree (Business, Engineering, CS, Surprise us!)
    Division: OTTO Motors

    About OTTO Motors, a division of Clearpath Robotics

    +

    Our mission is to create safer, more productive and fulfilling workplaces with autonomous material handling technology.

    Most recently, OTTO Motors was recognized among the top 1% of Canada’s highest-performing global private companies by Communitech….. and Fast Company’s 2023 list of Most Innovative Companies in 2023.

    +

    Our loyal customers are also the most recognizable brands in the world and trust OTTO Motors to fulfill their mission-critical material handling needs: General Electric, Toyota, Hershey, Caterpillar, Berry Global, and more. For more information about us, visit www.ottomotors.com. OTTO delivers intelligence, productivity, scalability, results and most importantly, the future.

    +

    About the Opportunity:

    +

    We are looking for a senior product manager to add to our growing team. We need someone with a track record of success bringing great products to market. An ideal candidate has experience bringing enterprise-grade software to market, comes from an automation background or really understands the industrial automation, manufacturing, or distribution space.

    +

    You will be responsible for a critical part of our portfolio in material movement and your experience in product management will help you drive the products’ success. You will work closely with the rest of the OTTO product development team to make sure that we are delivering properly engineered solutions. You will work closely with both sales and marketing to ensure your products are competitive, valuable and understood in the marketplace.

    +

    Key Responsibilities:

    + +

    Required Experience/Skills:

    +

    Product Managers come from various backgrounds, therefore, most importantly we are looking for someone who matches the description above and is looking to take on the world. That being said we consider these baselines for our next team member:

    + +

    What’s in it for you:

    + +

    At Clearpath, we are committed to building and supporting a culture of diversity, inclusion, and accessibility. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, veteran status, sexual orientation, gender identity, and expression. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

    ",,http://jobs.jobvite.com/clearpath/job/o0Lpnfwh,feed-importer@jobboard.io,,,,2023-08-04T02:18:08.687Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217482-staff-product-manager-at-clearpath,,draft,2023-07-05T02:18:08.687Z,import-xml-feed:Selenium-Scraper,,,,,,, +f03fdf46-bbc9-4bdb-b062-e9758efa70b6,243216374,Loblaw Companies Ltd,"Data Scientist, Acquisition Strategy",on_site,"Ontario, Canada",2023-07-05T01:44:01.438Z,"
    +

    Referred applicants should not apply directly to this role.

    +

    All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

    +

    +

    +

    Location:

    500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

    +

    When you hire great people, great things can happen.

    +

    PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

    +

    +

    Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

    +

    +

    Why this Role is Important:

    +

    As a pivotal role within our organization, you will harness the power of data to identify and optimize acquisition strategies, ensuring our bank attracts high-quality customers while improving profitability. With your analytical expertise and collaborative approach working with a highly motivated team, you can help us unlock hidden insights, develop predictive models, and drive data-driven decision-making across various channels. By effectively using data, you will enable the bank to make informed decisions, improve customer experiences, and unlock substantial value, propelling us ahead in an ever-evolving industry.

    +

    +

    +

    What You\'ll Do:

    + +

    +

    +

    +

    What You\'ll Bring:

    + +

    +

    Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

    +

    +

    +

    Number of Openings:

    1

    +

    PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

    +

    +

    In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

    +

    +

    +

    Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

    +
    ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Data-Scientist--Acquisition-Strategy_R2000355657?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-07-18T01:49:03.654Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243216374-data-scientist-acquisition-strategy-at-loblaw-companies-ltd,,draft,2023-07-05T01:44:01.438Z,import-xml-feed:Loblaws-Job-Feed,,,,,,, +2b32b9da-d198-4dea-8b79-8ea9e6b6a2f7,243216377,Loblaw Companies Ltd,"Data Analyst, IVR",on_site,"Ontario, Canada",2023-07-05T01:44:01.659Z,"
    +

    Referred applicants should not apply directly to this role.

    +

    All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

    +

    +

    +

    Location:

    500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

    +

    When you hire great people, great things can happen.

    +

    PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

    +

    +

    Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

    +

    +

    Who We Are:

    +

    In the Customer Support Centre of Excellence (CoE), we strive to provide PC Financial, PC Optimum, Loblaw Digital, Loblaw Retail, and SDM Retail customers an effortless experience in the moments that matter. We use technology, automation, and delivery optimization to improve customer and colleague experiences. We collaborate with technology and products teams to create synergy and deliver value. We are nimble, agile and collaborative solving complex problems at pace. We run as one team, value diversity and dig deep to always know more.

    +

    +

    +

    Why Is This Role Important

    +

    The Data Analyst, IVR is the focal point for advising IVR strategy through the collection and analysis of data. Through programming languages like SQL, SAS, and Python, in SAS and Google Cloud platforms, the successful candidate will be responsible for writing queries to capture data from various sources. The data will be used to define KPIs, generate reports, and build predictive models. The work of the Data Analyst, IVR will play an integral role in bringing outstanding customer experience, through optimization and technology (supported by data and analytics), to our existing IVR platforms.

    +

    +

    We are looking for a candidate that is a self-starter, highly energized, and has excellent communication and presentation skills. The right candidate will bring a strong mix of experience with financial planning and reporting within operations, and a ‘roll-up-your-sleeves’ approach.

    +

    +

    +

    +

    What You’ll Do

    + +

    +

    +

    What You’ll Need

    + +

    +

    Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

    +

    +

    +

    Number of Openings:

    1

    +

    PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

    +

    +

    In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

    +

    +

    +

    Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

    +
    ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Data-Analyst--IVR_R2000353654?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-07-14T01:49:02.269Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243216377-data-analyst-ivr-at-loblaw-companies-ltd,,draft,2023-07-05T01:44:01.659Z,import-xml-feed:Loblaws-Job-Feed,,,,,,, +cf33a3f4-84d5-433e-9761-006670e09d00,243216687,RBC,Corporate Actions Analyst,on_site,"Toronto, ON, Canada",2023-07-05T01:51:03.548Z,"
    +

    Come Work with Us!

    At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

    Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

    +

    Job Title

    Corporate Actions Analyst

    +

    +

    Job Description

    +

    What is the opportunity?

    +

    The Client Data Management team (CDM) is responsible for ensuring the accuracy and completeness of the static reference data for Capital Markets clients, counterparties, and other entities of interest. This data includes names, addresses, identifiers, classifications, hierarchies, and other attributes that are required for business and operational processes, regulatory monitoring and reporting, revenue reporting and client analytics, and Risk and Finance purposes. CDM maintains this information in the Client Data Repository (CDR) system, which acts as a central repository for master client records that are linked to accounts in trading and settlement systems, eliminating the operational overhead of needing multiple teams manage this information across multiple systems, ensuring consistency of this information across all consuming areas, and enabling the aggregation of client activity across different lines of business.

    +

    +

    The Corporate Actions Analyst is responsible for the proactive identification and investigation of material changes (ex. mergers, acquisitions, dissolutions, etc.) to entities of interest, and the coordination of the necessary reference data changes in CDR and the facilitation of associated tasks across Account Management, KYC, and various stakeholder teams.

    +

    What will you do?

    + +

    +

    What you need to succeed?

    + +

    +

    What’s in it for you?

    +

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

    + +

    +

    +

    Job Summary

    +

    Address:

    TORONTO, Ontario, Canada

    City:

    CAN-ON-TORONTO

    Country:

    Canada

    Work hours/week:

    37.5

    Employment Type:

    Full time

    Platform:

    Capital Markets

    Job Type:

    Regular

    Pay Type:

    Salaried

    Posted Date:

    2023-06-28

    Application Deadline:

    2023-07-13
    +

    Inclusion and Equal Opportunity Employment

    +

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

    +
    +

    Join our Talent Community

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

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

    +
    ",,https://jobs.rbc.com/ca/en/job/R-0000062397/Corporate-Actions-Analyst,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-07-14T01:56:02.586Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243216687-corporate-actions-analyst-at-rbc,,draft,2023-07-05T01:51:03.548Z,import-xml-feed:RBC-Job-Feed,,,,,,, +93aa0e38-8fff-407b-a785-7f9de0ab0112,243216693,RBC,Associate/VP - Quants,on_site,"Toronto, ON, Canada",2023-07-05T01:51:04.100Z,"
    +

    Come Work with Us!

    At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

    Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

    +

    Job Title

    Associate/VP - Quants

    +

    +

    Job Description

    +

    +

    WHAT IS THE OPPORTUNITY?

    +

    +

    As a front office quantitative analyst supporting the Commodities business, the candidate will be responsible for the provision of quantitative tools, analysis, and general analytical support to the trading desk. The RBC Quant team is responsible in developing & supporting next generation trading strategies and is the cornerstone of our Macro Quantitative Investment Strategies (Macro-QIS) business.

    +

    +

    WHAT WILL YOU DO?

    + +

    +

    WHAT DO YOU NEED TO SUCCEED?

    +

    +

    Must have:

    + +

    +

    Nice-to-have:

    + +

    +

    What’s in it for you?

    +

    +

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

    + +

    +

    ROAR - 559979033

    +

    #LI-Hybrid

    +

    #LI-POST

    +

    #TECHPJ

    +

    +

    +

    +

    Job Summary

    +

    Address:

    TORONTO, Ontario, Canada

    City:

    CAN-ON-TORONTO

    Country:

    Canada

    Work hours/week:

    37.5

    Employment Type:

    Full time

    Platform:

    Capital Markets

    Job Type:

    Regular

    Pay Type:

    Salaried

    Posted Date:

    2023-06-09

    Application Deadline:

    2023-07-28
    +

    Inclusion and Equal Opportunity Employment

    +

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

    +
    +

    Join our Talent Community

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

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

    +
    ",,https://jobs.rbc.com/ca/en/job/R-0000057528/Associate-VP-Quants,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-08-04T01:51:04.112Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243216693-associate-vp-quants-at-rbc,,draft,2023-07-05T01:51:04.100Z,import-xml-feed:RBC-Job-Feed,,,,,,, +d3e77523-7f0f-449e-9e68-0bcdbe14f932,243863355,Magna International,"Law Clerk, Real Estate and Construction",on_site,"Aurora, ONTARIO, CA, L4G 0G9",2023-07-06T16:04:02.410Z,"
    +
    +

    Role Summary

    +
    +

    +

    The Law Clerk, Real Estate and Construction is responsible for collaborating and supporting the Magna Global Real Estate Team on a wide range of real estate and construction matters with a focus on supporting the administration of leases and construction documents, and reviewing and drafting real estate documentation and correspondence, for both owned and leased properties, which are primarily industrial. In addition, the person in this role is responsible for supporting the legal team and the teams that oversee project development, management and construction services. This position reports directly to the Director, Real Estate.

    +
    +
    +
    +

    Key Responsibilities

    +
    +

    +
    • Draft, revise and review documentation including correspondence to landlords, tenant estoppels, subordination, attornment and non-disturbance agreements, non-disclosure agreements, surrender agreements, parking agreements, access agreements and licenses
    • Review diligence materials and other real property legal documentation and prepare summary reports, memorandums and other correspondence
    • Assist in the administration of leases, including preparing document packages for landlord consent requests and managing the landlord consent request process for properties leased by Magna
    • Assist with the review, drafting and assembly of requests for proposal for all types of real estate transactions
    • Collaborate with the legal team in the review of real estate agreements
    • Collaborate with internal information technology team and all Groups to maintain facilities data base for quarterly reporting to executive leadership team, investor relations and marketing
    • Prepare document package for project completion and close out
    • Respond to lease interpretation inquiries and other day-to-day tenant operational queries
    • Ensure all necessary internal approvals have been obtained and properly documented in accordance with real estate policies for all real estate transactions
    • Provide guidance to Magna Groups and Divisions on global real estate policies, guidelines and procedures
    • Provide timely response to regular queries relating to real estate matters raised by Magna Groups and Divisions
    • Build and maintain strong relationships with Magna Groups and Divisions and with Magna Corporate departments, including the Tax, Risk Management, Health and Safety and Environmental departments
    • +
    +
    +
    +
    +

    Key Qualifications/Requirements

    +
    +

    +

    Skills and Competencies Required

    +
    • Ability to deal with issues in a confidential manner
    • Strong communication skills, both verbal and written
    • Ability to participate as an effective team member and to support departmental and organizational goals and objectives
    • Ability to work independently and respond to multiple changing demands and deadlines
    • Ability to work under pressure and be flexible when meeting competing demands
    • Strong organizational and analytical skills
    • Strong relationship management and interpersonal skills
    • Understands and promotes Magna values, philosophies and policies
    • Positive, energetic and professional disposition
    • +
    +

    +

    Knowledge and Education

    +
    • Completion of Law Clerk program or equivalent
    • Minimum five (5) years’ experience in a law clerk or administrative assistant position, preferably within industrial real estate
    • Advanced computer skills employing a variety of software applications, including word processing and database management
    • Background in commercial real estate
    • +
    +
    +
    +
    +

    Additional Information

    +
    +

    +

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

    +

    +

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

    +

    +

    +
    +
    +
    +

    Awareness. Unity. Empowerment.

    +

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

    +
    +
    ",,https://jobs.magna.com/job/Law-Clerk%2C-Real-Estate-and-Construction/571259317/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-10T16:09:03.095Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/243863355-law-clerk-real-estate-and-construction-at-magna-international,https://jobs.magna.com/job/Law-Clerk%2C-Real-Estate-and-Construction/571259317/,draft,2023-07-06T16:04:02.410Z,import-xml-feed:Scrapy-Scraper,,,,,,, +29910310-039a-4852-9c10-0f62f75b1e0b,243863360,EllisDon,Infrastructure Technologist,on_site,"Ottawa, ON K2B6B7, CAN Ottawa, ON K2B6B7, CAN",2023-07-06T16:04:02.748Z,"

    Job Details

    Description

    +

    Connect with us LinkedIn, Instagram, Facebook, Twitter

    +

    Do you want to build the software that builds cities? EllisDon’s construction technology team is made up of Full-Stack Developers, Data Analysts, UX Designers, Product Owners, IT Operations and we’re growing fast! Our team also includes some of the best digital modelers and BIM specialists in the industry, experts who are working with the latest tech on projects in the billions of dollars.

    +

    We are a software development studio of 140+ people, backed by one of Canada’s top construction firms, with over 70 years in the industry and completing over $5 billion of work each year. We build software that is solving real-world problems on some of Canada’s largest construction projects.

    +

    Above all, we at EllisDon work hard to deliver great careers to one another. We choose to celebrate the strength in our differences, every day. EllisDon’s commitment to Inclusive Diversity is to work together to create an environment where every employee feels safe to be their true and authentic self. Ultimately, EllisDon’s purpose is to provide people with similar values the opportunity to achieve their full potential; to deliver that opportunity for great careers to one another; and to contribute meaningfully to the community we share with others.

    +

    In case you’re curious, here’s what the industry thinks of us and some of the impacts we've made to the communities we work in.

    +

    You as a Infrastructure Technologist will:

    +
      +
    • Champion the Enterprise Intelligence message to the business

    • +
    • Image, deploy, maintain, troubleshoot, and support computer workstations, laptops, printers, and mobile devices

    • +
    • Assist in the installation of new software and basic end-user training

    • +
    • Follow and maintain IT policies, documentation, and best practices guidelines

    • +
    • Assist with onboarding new employees with IT-related concerns

    • +
    • Maintain records within ServiceNow

    • +
    • Coordinate IT services and support for jobsites

    • +
    • Video conference supports – Teams, Zoom, WebEX, Google Meet…etc.

    • +
    • Provide 1st and 2nd level support for all hardware, software, and network problems reported, documenting problems and solutions as required.

    • +
    +


    Is this the right role for you?

    +
      +
    • Recent graduate from a post-secondary degree/diploma in a related field.

    • +
    • Valid driver's license, and vehicle (some travel require)

    • +
    • CCNA, Microsoft 365 Certification could be an asset but not required.

    • +
    +

    EllisDon is proud to provide this unique career opportunity that provides continuous learning, opportunity for growth, and a competitive compensation package within an environment that is committed to inclusion and respects diversity.

    +

    Go ahead and be yourself. We'll pay you for it!

    +

    We are an equal opportunity employer. We welcome people of any age, culture, subculture, gender identity or expression, sexual orientation, nationality, ethnicity, race, size, mental or physical status, veteran status, religion, language, political opinion, working-style preference, family status, education, and socio-economic status. The EllisDon core values of Integrity and Mutual Respect welcomes everyone, at work and in the community, and our value of Mutual Accountability, means that we all have a role to play. As an EllisDon employee, this will ultimately be your commitment to Inclusive Diversity.

    +

    Accommodation for Applicants with disabilities will be made during the recruitment process when requested.

    +

    We are committed to providing a positive candidate experience and ensuring timely updates are provided to all candidates. If you haven’t already, be sure to create a profile on our Careers page here to remain up to date on the status of your application and learn about new career opportunities as they arise.

    +

    Qualifications

    Skills

    Behaviors

    :

    Motivations

    :

    Education

    Experience

    Licenses & Certifications

    ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=0c938634-9d39-4e2e-951c-777ffe06f1a4,feed-importer@jobboard.io,,,,2023-08-05T16:04:02.748Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/243863360-infrastructure-technologist-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=0c938634-9d39-4e2e-951c-777ffe06f1a4,draft,2023-07-06T16:04:02.748Z,import-xml-feed:Scrapy-Scraper,,,,,,, +f79eac6e-13f5-4adc-ba90-fc8103bf0538,245220762,Scotiabank,"Manager - Project Finance and Reporting, Scotiabank",on_site,Canada : Ontario : Toronto,2023-07-10T15:52:03.999Z,"

    +

    +

    +

    +

    Requisition ID: 180899

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

    +

    +

    +

    The Manager, Project Finance and Reporting contributes to the overall success of the CTO’s Strategic Portfolio Office globally ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. The successful candidate will be responsible to ensure timely and consistent financial management and program reporting as per established standards enabling the financial planning and analysis processes for the following Business Line Portfolios, primarily: Canadian Banking, Global Wealth Management, and Digital Banking. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

    +


    Is this role right for you?

    +

    +
    • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
    • Working with the Senior Manager, Governance & Analysis as well as cross-functional business and support functions, the incumbent is responsible to:
    • Provide oversight, support and monitoring for all aspects of project finance on behalf of CTO’s Strategic Portfolio Office and is responsible for the management of discrepancy/variance analytics and project financial reporting. Includes data mapping, data quality/integrity testing, data analytics and data governance.
    • Provides support and coaching to Project Managers, and others as required, to ensure project financials are managed in a robust and controlled manner.
    • Manage governance forums as required with primarily business stakeholders, technology partners and other support functions.
    • Meeting PMO KPIs for Project Financials and meeting established Finance timelines within the monthly cycle
    • Acts as a subject matter expert for Project Financials & Forecasting Accuracy best practices; proactively identifies opportunities to improve reporting and/or drive the use of analytics.
    • Builds effective working relationships within the team and partnerships with Bank’s stakeholders including CB Finance, EPMO Project Controls, Portfolio Directors, Sr. Portfolio Analysts, and Project Delivery Teams.
    • Maintains effective controls over the accounting processes to ensure the reliability of the financial records and investigates any significant and/or unusual variance or questionable trends to provide business insights.
    • Actively seeks and evaluates opportunities for increased efficiency through automation and works with key stakeholders to implement changes as appropriate.
    • Respond to ad-hoc investigations, inquiries, data, and report requests as assigned
    • Ability to design and develop/enhance innovative reporting solutions using Power BI is an asset
    • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
    • Actively pursues effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
    • Champions a high performance environment and contributes to an inclusive work environment.
    • +
    +


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

    +

    +
    • Minimum education level of a University Degree in Accounting, Business or Finance
    • Working towards or have CPA or other accounting designation is a plus
    • 5+ years experience working in the financial reporting ideally in Financial Sector or Banking industry is preferred, preferably within Finance, IT or Project Management.
    • Strong knowledge of end-to-end Project Life Cycle and Software Development Lifecycle
    • Exposure to stakeholder management across highly matrixed organizations
    • Expert knowledge of MS Excel, MS Access and VBA
    • Proficient experience visualizing/presenting data for stakeholders using data visualization tools such as Power BI or Tableau
    • Strong knowledge of data management, aggregation and analysis techniques
    • Strong verbal and written communication skills, and experience with presentations
    • Strong business acumen, planning and organization skills
    • Flexibility and adaptable to rapidly changing environment
    • Ability to manage multiple priorities to meet deadlines
    • Strong work ethic, continuous improvement mindset with a can-do attitude
    • Strong problem-solving skills
    • +
    +

    +

    What's in it for you?

    +

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

    Work arrangements: Hybrid


    #LI-Hybrid

    +


    +

    +

    Location(s): Canada : Ontario : Toronto

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

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

    ",,https://jobs.scotiabank.com/job/Toronto-Manager-Project-Finance-and-Reporting%2C-Scotiabank-ON-M1L4S2/571965817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-09T15:52:04.008Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/245220762-manager-project-finance-and-reporting-scotiabank-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager-Project-Finance-and-Reporting%2C-Scotiabank-ON-M1L4S2/571965817/,draft,2023-07-10T15:52:03.999Z,import-xml-feed:Scotiabank,,,,,,, +506113e9-1b55-4dad-8bde-3f643ae665c0,245220767,Scotiabank,Wealth Management Associate Program - June 2024,on_site,Canada : Ontario : Toronto || Canada : Alberta : Edmonton || Canada : British Columbia : Vancouver || Canada : Nova Scotia : Halifax || Canada : Saskatchewan : Saskatoon,2023-07-10T15:52:04.496Z,"

    +

    +

    +

    +

    Requisition ID: 180902

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

    +

    +

    Wealth Management Associate Program

    +

    June 2024

    +

    +

    Scotiabank is among the largest banks in the world and is Canada’s most international bank. We are powered by high-performing (and awesome) teammates who make a real difference across the globe as a leading provider of advice, products, digital experiences, and financial services in more than 50 countries. Together with our Digital Factories around the world, we are dedicated to helping over 25 million customers become better-off.

    +

    +

    This is a place where you’ll get to learn and develop your skills, while being recognized for your hard work. At Scotiabank, we’re passionate about bringing our whole selves to work, allowing us to create inclusive work environments for everyone to enjoy. Say hello to a career at Scotiabank.

    +

    +

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

    +

    +

    There has never been a better time to join Scotiabank as a Wealth Management Associate. The Wealth Management Associate Program is a 5 month salaried program aimed at developing sales and entrepreneurial-minded individuals into a Wealth Advisory role. The program is focused on building a foundation for success centered on developing core financial planning skills and complementary client discovery skills attained through the wealth planning process.

    +

    +

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

    +

    +
    • You're completing an undergrad or master’s degree by June 2024, or you are currently working and have developed a passion for client relationships and financial advice.
    • You have a strong aspiration to build a career in a Wealth Advisory role.
    • You’re a curious, competitive critical thinker who thrives in change and collaborating with others.
    • You have a sales and relationship focused mindset.
    • You have exceptional relationship management skills; the ability to build and maintain strong collaborative client and internal/ external partner relationships.
    • You can demonstrate an ability to influence, persuade and build consensus as well as the ability to effectively communicate, verbally and in writing.
    • You can demonstrate flexibility in adapting to constantly changing environments.
    • You possess excellent self-awareness and seek feedback to leverage opportunities.
    • You have strong organization and time management skills, and the ability to work independently.
    • You have the problem-solving skills to go with your maturity, making you adaptable to many situations.
    • You're ambitious, entrepreneurial-minded and want to grow your career.
    • You’re resilient, positive and possess a high level of energy and perseverance.
    • You are flexible and are willing to relocate to another area of Canada.
    • +
    +

    +

    What’s in it for you?

    +
    • A comprehensive training program that will lead you to the Certified Financial Planning Certification and provide you with a thorough understanding of Scotiabank’s Wealth Advisory businesses and Total Wealth Planning approach.
    • Opportunities within the Wealth Advisory businesses to gain exposure as to how these areas apply to an overall wealth strategy for a client’s life.
    • Placement in a Scotiabank Wealth Management office to work with wealth teams to gain relevant and practical experience, complementary training, and support to help prepare you to attain licensing requirements associated with transitioning into a Wealth Management Advisory role.
    • Ongoing support during the program through various touch points with the Program Lead, Total Wealth Planning leaders, and your local Manager.
    • A compensation program with competitive salary, opportunities for annual performance incentives based on performance thresholds, a flexible benefits program and continuing education programs.
    • +
    +

    +

    How do I apply?

    +

    +

    Please complete all three steps below:

    +

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

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

    +

    +

    Location(s): Canada : Ontario : Toronto || Canada : Alberta : Edmonton || Canada : British Columbia : Vancouver || Canada : Nova Scotia : Halifax || Canada : Saskatchewan : Saskatoon

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

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

    ",,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Associate-Program-June-2024-ON/571937617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-13T15:57:03.013Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/245220767-wealth-management-associate-program-june-2024-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Associate-Program-June-2024-ON/571937617/,draft,2023-07-10T15:52:04.496Z,import-xml-feed:Scotiabank,,,,,,, +117ce70f-b70e-4aa0-9836-28ddfcf32168,245220828,EllisDon,Software Solutions Specialist,on_site,"Mississauga, ON L4Y1M4, CAN Mississauga, ON L4Y1M4, CAN",2023-07-10T16:04:02.013Z,"

    Job Details

    Description

    +

    Connect with us LinkedIn, Instagram, Facebook, Twitter

    +

    Do you want to build the software that builds cities? EllisDon’s construction technology team is made up of Full-Stack Developers, Data Analysts, UX Designers, Product Owners, IT Operations and we’re growing fast! Our team also includes some of the best digital modelers and BIM specialists in the industry, experts who are working with the latest tech on projects in the billions of dollars.

    +

    We are a software development studio of 140+ people, backed by one of Canada’s top construction firms, with over 70 years in the industry and completing over $5 billion of work each year. We build software that is solving real-world problems on some of Canada’s largest construction projects.

    +

    Above all, we at EllisDon work hard to deliver great careers to one another. We choose to celebrate the strength in our differences, every day. EllisDon’s commitment to Inclusive Diversity is to work together to create an environment where every employee feels safe to be their true and authentic self. Ultimately, EllisDon’s purpose is to provide people with similar values the opportunity to achieve their full potential; to deliver that opportunity for great careers to one another; and to contribute meaningfully to the community we share with others.

    +

    In case you’re curious, here’s what the industry thinks of us and some of the impacts we've made to the communities we work in.

    +

    You as a Software Solutions Specialist will:

    +
      +
    • Research and develop best practices on newly acquired technology and applications in accordance with company processes and our data strategy
    • +
    • Support the development and maintenance of an internal Software Catalogue
    • +
    • Organize, attend, and participate in stakeholder meetings. Prepare necessary presentation materials for meetings; document and follow up on important actions and decisions from meetings
    • +
    • Provide administrative support throughout the implementation project lifecycle
    • +
    • Work closely with Software Project Managers to help select and implement new solutions across the organization
    • +
    • Coordinate, and support the delivery of custom solutions to project teams, partners, and external clients
    • +
    • Support the adoption and leveraging of new construction technologies across the organization
    • +
    • Identify opportunities to streamline processes by developing strong relationships with all stakeholders, both internal and external
    • +
    • Assess project risks and issues, provide solutions where applicable and report and escalate concerns to management as needed
    • +
    +

    Is this the right role for you?

    +
      +
    • Experience in customer-facing roles such as sales or software account management
    • +
    • Experience utilizing construction-related technologies, like construction project management software
    • +
    • Experience in software project management and administration would be an asset
    • +
    • Excellent attention to detail and organizational skills
    • +
    +

    +

    EllisDon is proud to provide this unique career opportunity that provides continuous learning, opportunity for growth, and a competitive compensation package within an environment that is committed to inclusion and respects diversity.

    +

    Go ahead and be yourself. We'll pay you for it!

    +

    We are an equal opportunity employer. We welcome people of any age, culture, subculture, gender identity or expression, sexual orientation, nationality, ethnicity, race, size, mental or physical status, veteran status, religion, language, political opinion, working-style preference, family status, education, and socio-economic status. The EllisDon core values of Integrity and Mutual Respect welcomes everyone, at work and in the community, and our value of Mutual Accountability, means that we all have a role to play. As an EllisDon employee, this will ultimately be your commitment to Inclusive Diversity.

    +

    Accommodation for Applicants with disabilities will be made during the recruitment process when requested.

    +

    We are committed to providing a positive candidate experience and ensuring timely updates are provided to all candidates. If you haven’t already, be sure to create a profile on our Careers page here to remain up to date on the status of your application and learn about new career opportunities as they arise.

    Qualifications

    Skills

    Behaviors

    :

    Motivations

    :

    Education

    Experience

    Licenses & Certifications

    ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=d433a9e9-dd90-4d56-b12a-f253de040b98,feed-importer@jobboard.io,,,,2023-08-09T16:04:02.013Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/245220828-software-solutions-specialist-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=d433a9e9-dd90-4d56-b12a-f253de040b98,draft,2023-07-10T16:04:02.013Z,import-xml-feed:Scrapy-Scraper,,,,,,, +50719562-910d-4bea-9dc7-8c8cad0d4e71,237206045,Magna International,Maintenance Systems Planner,on_site,"St. Thomas, ONTARIO, CA, N5P 1G6",2023-06-17T16:04:06.380Z,"
    +
    +

    Role Summary

    +

    The Maintenance Systems Planner forms close relationships with maintenance technicians, lead hands and area leaders to plan and coordinate maintenance activities and projects. The Planner creates assets and establishes PMs requirements regarding machines during launch stage, as well as optimizing and continuously improving existing and new PM schedules using preventive and predictive maintenance techniques an supports the transition into Industry 4.0. The Planner utilizes analytical data evaluation tools to evaluate new and existing PMs to improve equipment efficiency to eliminate unplanned downtime and meet our business needs. The Planner is responsible for creating and managing a critical spare parts list during APQP design stage and during production which will be added to CMS for cross referencing purposes throughout production and program decommissioning.

    +
    +
    +

    Key Qualifications/Requirements

    +
    +

    3+ years of manufacturing experience in a technical capacity in maintenance controls, electrical or mechanical.

    +

    Successful completion of the Pemac MMP program is a requirement either before or after hiring.

    +

    Must have strong organizational, interpersonal and communications skills.

    +

    Experienced CMS and / or CMMS user and be proficient in using Microsoft Excel

    +

    Highly analytical in nature, able to interpret, manipulate, and present data

    +

    Solid foundation of equipment reliability concepts.

    +

    Practical knowledge of risk management strategies and practices related to plant and equipment

    +

    Able to interpret preventative maintenance feedback and use this feedback to develop and implement action plans that improve our preventative maintenance programs.

    +

    Able to work in conjunction with skilled trades persons and must have an equal mix of technical and social skills.

    +

    Knowledge of and familiarity with Tooling Build Standards, Machine Build Standard is an asset.

    +

    Knowledgeable in APQP, PPAP, & PFMEA documentation and processes is an asset.

    +
    +
    +
    +

    Key Responsibilities

    +
    +

    1. Weekly plan and schedule corrective and preventive maintenance activities by task and priority level.

    +

    2. Leads a weekly scheduling meeting to achieve agreement and alignment on the upcoming week’s scheduled work, including equipment availability for maintenance activities.

    +

    3. Daily review of all Work Orders that were completed the last 24 hours.

    +

    4. Daily management and review of all new Work Requests from the last 24 hours.

    +

    5. Manage critical spare parts for new and existing programs

    +

    6. Manage work orders, documentation, and assets within the CMMS

    +

    7. Train employees on how to use the CMMS

    +

    8. Demonstrated proficiency working with MS Office applications (Excel, Outlook, Word) is required. Knowledge of CMMS software, (Emaint knowledge is an asset) database and project software required.

    +

    9. Generate and distribute all Maintenance documentation: Work Orders and PMs, Maintenance Wrench Time, Budget spending, and KPI reports.

    +

    10. Examines jobs to be done and determines the best way to accomplish the work. Consults with the requester, area leader, or maintenance leader when necessary.

    +

    11. Strong equipment and operational knowledge is necessary. Have adequate craft knowledge to estimate labour hours and materials to visualize the job to be performed.

    +

    12. Examines jobs to be done and determines the best way to accomplish the work. Consults with the requester, area leader, or maintenance leader when necessary.

    +

    13. Strong equipment and operational knowledge is necessary. Have adequate craft knowledge to estimate labour hours and materials to visualize the job to be performed.

    +

    14. Identifies and obtains necessary materials, work instructions, manuals, appropriate tools, etc. to execute the planned work order.

    +

    15. A high level of planning and organizing skills are required to be proficient in the position. Ability to manage multiple tasks and multiple priorities simultaneously.

    +
    +
    +
    +

    Additional Information

    +
    +

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

    +

    Responsible for confidential information. Works in a factory environment and may be exposed to elements such as noise and temperature during time spent on the plant floor.

    +
    +
    +
    +

    Awareness. Unity. Empowerment.

    +

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

    +
    +
    ",,https://jobs.magna.com/job/St_-Thomas-Maintenance-Systems-Planner-ONTA-N5P-1G6/567766417/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-17T16:04:06.380Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206045-maintenance-systems-planner-at-magna-international,https://jobs.magna.com/job/St_-Thomas-Maintenance-Systems-Planner-ONTA-N5P-1G6/567766417/,draft,2023-06-17T16:04:06.380Z,import-xml-feed:Scrapy-Scraper,,,,,,, +35957dbe-cdd5-4650-ab9e-9aabe971e568,245220772,TD Bank Group,Bus Application Analyst III,on_site,"Toronto, ON",2023-07-10T15:53:01.848Z,"
    +

    Company Overview

    +
    +

    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

    +

    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

    +
    +

    +

    Department Overview

    +
    +

    FPS provides system support for approximately 30 Enterprise Finance Systems. This support encompasses 3 core processes:

    +

    System Maintenance – maintain operational data & functionality settings
    Incident Management – resolve issues when applications are not working as expected
    Change Management – coordinate changes to system or base settings

    +
    +

    +

    Job Description

    +
    +

    Reporting to the Manager, Applications Management (FPS-Reporting), the Business Application Analyst joins the team responsible for supporting the day-to-day operations of TD’s various Enterprise Finance and Management Reporting Systems including but not limited to Enterprise Management Reporting System (EMRS), Financial Reporting System (FRS-FMS/FRS-PSGL), Oracle Analytics Cloud (OAC), Hyperion Financial Management (HFM), Certent Disclosure Management (CDM) etc.
    Specifically, this position will be responsible for providing first level system maintenance, incident and change support for the applications under their area of responsibility. The successful candidate will play a key role in the maintenance of a best-in-class production support model.
    Due to the nature of our user community, flexible support hours are often necessary at fiscal month / quarter and year ends, and periodic on-call support is required.

    +

    This position requires an action-oriented individual with solid knowledge of finance applications and data flows, demonstrated analytical/problem solving capabilities, good relationship management skills and the ability to deal with change in a fast-paced and deadline-driven environment.

    +

    Key accountabilities for this position include:

    +

    Responsibility for ensuring application availability, data integrity and a positive user experience for supported systems:
    o Maintain/monitor job scheduling, reports, interfaces, queries, etc.
    o Identify, investigate, resolve complex support issues, providing updates as per the severity guidelines, and taking an active role in driving resolution for issues, including those outside normal working hours
    o Adhere to audit controls
    o Ensure quality of service meets Service Level Agreements

    +

    Liaise with Business/Technology stakeholders in order to elicit, analyze, define, communicate and validate requirements for changes to finance applications
    Coordinate system/process changes with technology and business partners
    Provide subject matter expert knowledge of finance applications to relevant business areas and project teams as needed; understand relevant business processes/needs/opportunities and recommend solutions that enable the business to achieve its goals
    Recommend and implement process improvements to increase productivity
    Contribute to the success of the of the Finance Production Support department through personal efforts to enhance own knowledge and skills; assist others in achieving common goals and objectives, and maintaining a respectful, positive work environment
    Ensure procedure documentation is accurate and complete

    +
    +

    +

    Requirements

    +
    +
      +

      The successful candidate will possess a unique blend of customer service, technical and financial skills. This position requires:

      +
        +
      • Passion for providing superior customer service and inspiring that passion within the team
      • +
      • Ability to build effective working relationships with teams and individuals at all levels
      • +
      • Strong organizational skills with a proven track record of managing workflow to ensure timelines are met with a high degree of accuracy
      • +
      • Superior written and verbal communication skills, including the ability to communicate complex situations and ideas in a clear, simple and understandable manner
      • +
      • Solid understanding of the Finance function
      • +
      • Strong technical background with hands on experience working with Finance applications, specifically General Ledgers Reporting/Business Intelligence tools
      • +
      • General understanding of data flow, data integrity and audit controls
      • +
      • Ability to work effectively in an extremely fast paced and evolving environment
      • +
      • Proficient in identifying risks and mitigation strategies
      • +
      • Proficient in MS-Office applications (Excel, Word, Access)
      • +
      +

      The following skills or knowledge sets would be advantageous:

      +
        +
      • Experience in a Production Support environment, specifically supporting / implementing Finance applications
      • +
      • Good understanding of TDBG businesses preferred
      • +
      • VBA/SAS/SQL experience (as required)
      • +
      • Post-secondary degree in business, management information systems/computer sciences, and/or finance/accounting
      • +
      • Accounting designation (CA, CMA, CGA) or related work experience would be an asset
      • +
      +
      +

      +

      Hours

      +
      37.5
      +

      +

      Inclusiveness

      +

      At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

      +

      +
      ",,https://jobs.td.com/en-CA/jobs/18707059/bus-application-analyst-iii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-08-09T15:53:01.856Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/245220772-bus-application-analyst-iii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18707059/bus-application-analyst-iii-toronto-ca/,draft,2023-07-10T15:53:01.848Z,import-xml-feed:TD-Bank-Group---Job,,,,,,, +6bd8d95e-591a-4222-88a0-a5765ea698c1,247348317,Magna International,Programmer,on_site,"Vaughan, ONTARIO, CA, L4K 2K1",2023-07-16T16:04:04.806Z,"
      +
      +

      Qualifications

      +
      • Bachelor’s Degree or Diploma in Engineering or Computer Science or equivalent function-related training.
      • Understanding of Manufacturing Execution Systems, Warehouse Management Systems, Inventory control, and Automation.
      • Minimum 5 years related work experience in manufacturing environment.
      • Experience with SQL Server, MS-SQL queries and stored procedures, database design, networking.
      • Strong knowledge of Visual Basic, C#, .Net, Windows Forms, Web forms, MS Access, JavaScript, Power BI and Power Apps.
      • Computer literacy in business applications and knowledge of ERP systems.
      • Excellent organizational, planning, and English communication skills.
      • Exceptional analytical and creative problem-solving skills.
      • +
      +
      +
      +

      DESIRABLE ADDITIONAL QUALIFICATIONS

      +

      • Experience with Solidat MES.
      • Experience with PLCs (Allen Bradley, Omron, Siemens), Kepware OPC Client and Server.
      • Automotive manufacturing background, preferably within Magna.
      • Experience with Intermec label printers and Zebra scanners.
      • Exposure to ERP systems such as SAP, QAD or Trans4m.
      • Automotive manufacturing experience

      +
      +
      +

      MAIN TASKS & RESPONSIBILITIES

      +

      • Design, develop and implement applications based on customer requirements.
      • Overall responsibility for Kepware and SQL servers along with related applications.
      • Responsible for ensuring the integrity of production and shipping schedules in ERP and in related software.
      • Responsible for documenting Mytox application procedures, including communication, release verification, and updates.
      • Contribute to continuous improvement and cost reduction activities.
      • Performs all job functions abiding by the office/work standards, policies and procedures as outlines in the company handbook.
      • Performs all job functions in alignment with IATF 16949 quality management standards and ISO 14001
      • Actively participates in continuous improvement
      • Maintain 5S standards in working environment
      • Attend training based on Mytox’s internal training matrix
      • Performs all job functions in a safe, healthful and environmentally conscious manner, abiding by all health, safety and environment rules and regulations as outlined in the company handbook
      • Performs other duties as assigned or any reasonable request by management.

      +
      +
      +

      Additional Information

      +

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

      +
      +
      +

      Awareness. Unity. Empowerment.

      +

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

      +
      +
      ",,https://jobs.magna.com/job/Vaughan-Programmer-ONTA-L4K-2K1/571218517/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-17T16:09:03.123Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/247348317-programmer-at-magna-international,https://jobs.magna.com/job/Vaughan-Programmer-ONTA-L4K-2K1/571218517/,draft,2023-07-16T16:04:04.806Z,import-xml-feed:Scrapy-Scraper,,,,,,, +4c1dfd75-b1b2-4a33-95c7-a327704ad321,239887328,Scotiabank,"Senior Analyst, Financial Planning and Analysis",on_site,Canada : Ontario : Toronto,2023-06-26T15:52:02.645Z,"

      +

      +

      +

      +

      Requisition ID: 177722

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

      +

      +

      Hiring Details:

      +
      • Department: Canadian Banking Finance
      • Business Line: Retail Payments and Unsecured Lending Finance, Retail Banking Finance
      • +
      +

      +

      Job Purpose:

      +

      Reporting to the Senior Manager of Finance, the successful candidate is extremely curious, and action oriented with a supernatural ability to drive results in a highly collaborative manner. The successful candidate will be accountable for many of the team’s financial and management reporting deliverables and work closely with teammates and business partners to provide transparent communication of financial insights and analysis. In fostering strong relationships with business partners, the Sr. Analyst will focus on fully understanding business drivers and the underlying financial results, while relentlessly pursuing value generating insights.

      +

      +

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

      +
      • +Strong Business Partner, support the delivery of several of the teams financial and management reports to key stakeholders including month-end and quarter-end reporting packs, Monthly P&L and Key Drivers
        • Review financial data and analyze to ensure accuracy and completeness of deliverables and understand the impacts of relevant performance metrics to the business
        • Leverage Financial and Analytics (MIS) data to provide financial insights through Financial Reporting & Analysis
        • Support team with the analysis of Credit Card portfolio/Balance Sheet, Net Interest Income and Margin, Non -Interest Revenue, PCL, Expenses and key performance metrics
        • Prepare and present monthly financial dashboards for Business Unit Reviews and Management Reporting packages for Credit Cards and Finance Senior Leadership
        • Ad-hoc analysis providing value-add insights to business line partners, finance and other key stakeholders
        • Proactively identify opportunities for reporting improvements and implement
      • Process Improvement – Leverage digital solutions to seek ways to enhance reporting processes which can include, streamlining of operational processes, enhancement to analytical capabilities and reduction in operational risk
      • Expert user of financial reporting, planning and forecasting systems and tools, including EGL/OBI/Smartview and Hyperion
      • Internal Process Control – Maintain an effective system of internal controls over reporting processes to ensure data accuracy and integrity is at its highest level
      • Documentation – Create detailed job-aids, training materials, desktop procedures and documentation of the current reporting processes
      • Strategic Project Analysis including revenue opportunities, strategic transactions, new product/program offerings, amongst many other initiatives
      • +
      +

      +

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

      +
      • A solid understanding of financial and management reporting principles
      • Strong problem solving, quantitative and analytical skills; attention to details; ability to analyze business results and identify issues and trends
      • Ability to work effectively and achieve results in a matrix organization
      • Ability to work as part of a team and independently
      • Strong interpersonal, communication, and organizational skills a must
      • Strong data management and modelling skills; ability to build financial models and dashboards
      • Excellent communication skills and ability to communicate findings/analysis and present ideas in a clear and concise manner
      • Ability to multi-task, work independently and deliver high-quality results under very tight deadlines; continuously assess priorities and business requirements, and balance between regular deliverables and priority Executive requests
      • Demonstrated leadership skills and stewardship capabilities in a complex and changing environment
      • Understanding of banking financial statements, profitability drivers within Canadian Banking, including knowledge of Retail lending products
      • An understanding of portfolio management and drivers of Net Interest Income (NII) and Margin (NIM), Non-Interest Revenue (NIR), including Product Pricing/Yields, Funds Transfer Pricing methodologies and balance sheet mix and capital management concepts considered an asset
      • Post-secondary degree in Finance, Accounting, Mathematics, Economics or related field
      • MBA, CFA, or CPA preferred
      • Minimum 2 to 4 years FP&A experience
      • Advanced skills with Microsoft Excel, PowerPoint and Think-cell
      • Knowledge of the Bank’s source and reporting systems an asset (i.e., OBI, Hyperion, Smartview)
      • +
      +

      +

      What’s in it for you?

      +
      • An inclusive & collaborative working environment that encourages creativity, curiosity, and celebrates success!
      • We offer a competitive rewards package: Performance bonus, Employee Share Ownership Program, and Pension Plan Matching, Health Benefits from day one!
      • Your career matters! You will have access to career development and progression opportunities.
      • +
      +

      +

      #scotiafinancejobs

      +

      +

      Location(s): Canada : Ontario : Toronto

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

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

      ",,https://jobs.scotiabank.com/job/Senior-Analyst%2C-Financial-Planning-and-Analysis/570039017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-03T15:57:04.998Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/239887328-senior-analyst-financial-planning-and-analysis-at-scotiabank,https://jobs.scotiabank.com/job/Senior-Analyst%2C-Financial-Planning-and-Analysis/570039017/,draft,2023-06-26T15:52:02.645Z,import-xml-feed:Scotiabank,,,,,,, +f40dfd0b-937f-464b-9ab5-c2a3ad78fcc8,242608273,EllisDon,Enterprise Tech Desk Specialist,on_site,"London, ON N5V2Z7, CAN London, ON N5V2Z7, CAN",2023-07-03T16:04:04.479Z,"

      Job Details

      Description

      +

      Connect with us LinkedIn, Instagram, Facebook, Twitter

      +

      Thinking about a change?

      +

      The Digital & Data Engineering division brings together the teams who enable EllisDon to leverage technology in every aspect of its business, to push beyond traditional industry positions and drive change. Our objective is simple: to be leaders in technology just as we are leaders in building. Our core values empower people to deliver great careers to one another and develop creative solutions for complex problems for our Cradle To Grave Services, Construction operation and our clients. We are a group of professionals with a variety of expertise within software engineering, product management, data management and analytics, professional services, virtual design, construction, and IT operations. To learn more, check out our Digital & Data Engineering services and hear from our team directly about what a career at EllisDon could look like for you. As you can see, we are a diverse bunch.

      +

      Above all, we are a group of individuals with unique experiences, and, at EllisDon, we choose to celebrate the strength in our differences, every day. EllisDon’s commitment to Inclusive Diversity is to work together to create an environment where every employee feels safe to be their true and authentic self. Ultimately, EllisDon’s purpose is to provide people with similar values the opportunity to achieve to their full potential; to deliver that opportunity for great careers to one another; and to contribute meaningfully to the community we share with others.

      +

      In case you’re curious, here’s what the industry thinks of us and some of the impacts we've made to the communities we work in.

      +

      You as an Enterprise Tech Desk Specialist will:

      +
        +
      • Act as a central point of contact for users, accept correspondence and process information / requests related to EllisDon products, services, and facilities.
      • +
      • Following ITIL principles, maintain accurate, consistent, and up-to-date records of all correspondence regarding user requests in the ticket system and follow up with users at the conclusion of the Service Delivery opportunity to confirm resolution and satisfaction.
      • +
      • Apply the given standards, procedures, and tools to accomplish the activities you’ve been tasked with. You produce all required documentation for tasks completed, according to established standards, and enhance the Knowledge base with documented solutions and procedures for common user requests, difficulties, and known solutions.
      • +
      • Monitor tickets to ensure service level objectives are being met, and identify common problems needing management attention. You regularly review outstanding tickets assigned to other departments or returned to the Enterprise Tech Desk for action.
      • +
      +

      Is this the right role for you?

      +
        +
      • You have a minimum of 2 - 4 years of previous Service Desk support and/or customer service experience with a passion for, and demonstrated track record of providing outstanding IT Service Delivery.
      • +
      • You have general knowledge of hardware and software components, including Lenovo desktops & Laptops as well as experience working with iOS and Android devices.
      • +
      • You are proficient with Active Directory User Administration and supporting users with Office 365 including OneDrive and Sharepoint
      • +
      • You have a strong knowledge of ITIL, and have achieved the ITIL Foundations certification.
      • +
      • Strong communication skills (both oral and written) particularly good command of the English language.
      • +
      +

      EllisDon is proud to provide this unique career opportunity that provides continuous learning, opportunity for growth, and a competitive compensation package within an environment that is committed to inclusion and respects diversity.

      +

      Go ahead and be yourself. We'll pay you for it!

      +

      We are an equal opportunity employer. We welcome people of any age, culture, subculture, gender identity or expression, sexual orientation, nationality, ethnicity, race, size, mental or physical status, veteran status, religion, language, political opinion, working-style preference, family status, education, and socio-economic status. The EllisDon core values of Integrity and Mutual Respect welcomes everyone, at work and in the community, and our value of Mutual Accountability, means that we all have a role to play. As an EllisDon employee, this will ultimately be your commitment to Inclusive Diversity.

      +

      Accommodation for Applicants with disabilities will be made during the recruitment process when requested.

      +

      We are committed to providing a positive candidate experience and ensuring timely updates are provided to all candidates. If you haven’t already, be sure to create a profile on our Careers page here to remain up to date on the status of your application and learn about new career opportunities as they arise.

      Qualifications

      Skills

      Behaviors

      :

      Motivations

      :

      Education

      Experience

      Licenses & Certifications

      ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=57110614-018d-48f4-a359-1af75d62f281,feed-importer@jobboard.io,,,,2023-08-02T16:04:04.479Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/242608273-enterprise-tech-desk-specialist-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=57110614-018d-48f4-a359-1af75d62f281,draft,2023-07-03T16:04:04.479Z,import-xml-feed:Scrapy-Scraper,,,,,,, +6f100cef-99ee-4ef1-932e-06d79fa661f9,237206021,Magna International,"Payroll Jr. Support, HR Systems",on_site,"Aurora, ONTARIO, CA, L4G 0G9",2023-06-17T16:04:02.388Z,"
      +
      +

      Role Summary

      +

      The Magna HR systems team is a fast-growing team meant to support day to day activities of Payroll and HR practitioners within the organization. The Payroll Support team is a new team we are expanding to support new system implementations as part of Payroll Transformation.

      +
      +
      +

      Key Responsibilities

      +

      • Demonstrate a basic understanding of Payroll and Time tasks.
      • Triage and work tickets effectively based on urgency
      • Communicate with internal stakeholders on tasks
      • Basic testing of configuration updates

      +
      +
      +

      Key Qualifications/Requirements

      +

      • University education or equivalent. Preferably Business Related in nature.
      • Strong attention to detail
      • Strong verbal and written communication skills
      • Demonstrate critical thinking and analytic skills with strong problem solving and troubleshooting skills
      • Ability to accurately collect information in order to understand and assess the clients’ needs and situation
      • Excellent collaborator and a team player
      • Well-developed root-cause analytical skills with the ability to configure and troubleshoot issues and defects
      • Ability to prioritize workload and provide timely follow-up and resolution
      • Ability to manage confidential and sensitive employee information
      • Ability to set priorities in a fast-paced environment
      • Focus on delivering quality customer service

      +
      +
      +

      Awareness. Unity. Empowerment.

      +

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

      +
      +
      ",,https://jobs.magna.com/job/Aurora-Payroll-Jr_-Support%2C-HR-Systems-ONTA-L4G-0G9/566821617/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-17T16:04:02.388Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206021-payroll-jr-support-hr-systems-at-magna-international,https://jobs.magna.com/job/Aurora-Payroll-Jr_-Support%2C-HR-Systems-ONTA-L4G-0G9/566821617/,draft,2023-06-17T16:04:02.388Z,import-xml-feed:Scrapy-Scraper,,,,,,, 114a45c5-3636-4015-bd3e-75770c0d7a66,237205970,Scotiabank,"Manager, Sustainment & Control - Asset Servicing",on_site,Canada : Ontario : Toronto,2023-06-17T15:52:03.937Z,"

      @@ -674,51 +1524,7 @@ b1ee3c5a-9489-4f15-9aef-1877f1dd4e2b,237677737,Sun Life Financial,Senior Campaig

      #LI-Hybrid

      #scotiatechnology

      -

      Location(s): Canada : Ontario : Toronto

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

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

      ",,https://jobs.scotiabank.com/job/Sr-Manager%2C-IT-Asset-Management-Hybrid/566523417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-02T15:52:03.550Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/242607503-sr-manager-it-asset-management-hybrid-at-scotiabank,https://jobs.scotiabank.com/job/Sr-Manager%2C-IT-Asset-Management-Hybrid/566523417/,draft,2023-07-03T15:52:03.541Z,import-xml-feed:Scotiabank,,,,,,, -6f100cef-99ee-4ef1-932e-06d79fa661f9,237206021,Magna International,"Payroll Jr. Support, HR Systems",on_site,"Aurora, ONTARIO, CA, L4G 0G9",2023-06-17T16:04:02.388Z,"
      -
      -

      Role Summary

      -

      The Magna HR systems team is a fast-growing team meant to support day to day activities of Payroll and HR practitioners within the organization. The Payroll Support team is a new team we are expanding to support new system implementations as part of Payroll Transformation.

      -
      -
      -

      Key Responsibilities

      -

      • Demonstrate a basic understanding of Payroll and Time tasks.
      • Triage and work tickets effectively based on urgency
      • Communicate with internal stakeholders on tasks
      • Basic testing of configuration updates

      -
      -
      -

      Key Qualifications/Requirements

      -

      • University education or equivalent. Preferably Business Related in nature.
      • Strong attention to detail
      • Strong verbal and written communication skills
      • Demonstrate critical thinking and analytic skills with strong problem solving and troubleshooting skills
      • Ability to accurately collect information in order to understand and assess the clients’ needs and situation
      • Excellent collaborator and a team player
      • Well-developed root-cause analytical skills with the ability to configure and troubleshoot issues and defects
      • Ability to prioritize workload and provide timely follow-up and resolution
      • Ability to manage confidential and sensitive employee information
      • Ability to set priorities in a fast-paced environment
      • Focus on delivering quality customer service

      -
      -
      -

      Awareness. Unity. Empowerment.

      -

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

      -
      -
      ",,https://jobs.magna.com/job/Aurora-Payroll-Jr_-Support%2C-HR-Systems-ONTA-L4G-0G9/566821617/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-17T16:04:02.388Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206021-payroll-jr-support-hr-systems-at-magna-international,https://jobs.magna.com/job/Aurora-Payroll-Jr_-Support%2C-HR-Systems-ONTA-L4G-0G9/566821617/,draft,2023-06-17T16:04:02.388Z,import-xml-feed:Scrapy-Scraper,,,,,,, -f40dfd0b-937f-464b-9ab5-c2a3ad78fcc8,242608273,EllisDon,Enterprise Tech Desk Specialist,on_site,"London, ON N5V2Z7, CAN London, ON N5V2Z7, CAN",2023-07-03T16:04:04.479Z,"

      Job Details

      Description

      -

      Connect with us LinkedIn, Instagram, Facebook, Twitter

      -

      Thinking about a change?

      -

      The Digital & Data Engineering division brings together the teams who enable EllisDon to leverage technology in every aspect of its business, to push beyond traditional industry positions and drive change. Our objective is simple: to be leaders in technology just as we are leaders in building. Our core values empower people to deliver great careers to one another and develop creative solutions for complex problems for our Cradle To Grave Services, Construction operation and our clients. We are a group of professionals with a variety of expertise within software engineering, product management, data management and analytics, professional services, virtual design, construction, and IT operations. To learn more, check out our Digital & Data Engineering services and hear from our team directly about what a career at EllisDon could look like for you. As you can see, we are a diverse bunch.

      -

      Above all, we are a group of individuals with unique experiences, and, at EllisDon, we choose to celebrate the strength in our differences, every day. EllisDon’s commitment to Inclusive Diversity is to work together to create an environment where every employee feels safe to be their true and authentic self. Ultimately, EllisDon’s purpose is to provide people with similar values the opportunity to achieve to their full potential; to deliver that opportunity for great careers to one another; and to contribute meaningfully to the community we share with others.

      -

      In case you’re curious, here’s what the industry thinks of us and some of the impacts we've made to the communities we work in.

      -

      You as an Enterprise Tech Desk Specialist will:

      -
        -
      • Act as a central point of contact for users, accept correspondence and process information / requests related to EllisDon products, services, and facilities.
      • -
      • Following ITIL principles, maintain accurate, consistent, and up-to-date records of all correspondence regarding user requests in the ticket system and follow up with users at the conclusion of the Service Delivery opportunity to confirm resolution and satisfaction.
      • -
      • Apply the given standards, procedures, and tools to accomplish the activities you’ve been tasked with. You produce all required documentation for tasks completed, according to established standards, and enhance the Knowledge base with documented solutions and procedures for common user requests, difficulties, and known solutions.
      • -
      • Monitor tickets to ensure service level objectives are being met, and identify common problems needing management attention. You regularly review outstanding tickets assigned to other departments or returned to the Enterprise Tech Desk for action.
      • -
      -

      Is this the right role for you?

      -
        -
      • You have a minimum of 2 - 4 years of previous Service Desk support and/or customer service experience with a passion for, and demonstrated track record of providing outstanding IT Service Delivery.
      • -
      • You have general knowledge of hardware and software components, including Lenovo desktops & Laptops as well as experience working with iOS and Android devices.
      • -
      • You are proficient with Active Directory User Administration and supporting users with Office 365 including OneDrive and Sharepoint
      • -
      • You have a strong knowledge of ITIL, and have achieved the ITIL Foundations certification.
      • -
      • Strong communication skills (both oral and written) particularly good command of the English language.
      • -
      -

      EllisDon is proud to provide this unique career opportunity that provides continuous learning, opportunity for growth, and a competitive compensation package within an environment that is committed to inclusion and respects diversity.

      -

      Go ahead and be yourself. We'll pay you for it!

      -

      We are an equal opportunity employer. We welcome people of any age, culture, subculture, gender identity or expression, sexual orientation, nationality, ethnicity, race, size, mental or physical status, veteran status, religion, language, political opinion, working-style preference, family status, education, and socio-economic status. The EllisDon core values of Integrity and Mutual Respect welcomes everyone, at work and in the community, and our value of Mutual Accountability, means that we all have a role to play. As an EllisDon employee, this will ultimately be your commitment to Inclusive Diversity.

      -

      Accommodation for Applicants with disabilities will be made during the recruitment process when requested.

      -

      We are committed to providing a positive candidate experience and ensuring timely updates are provided to all candidates. If you haven’t already, be sure to create a profile on our Careers page here to remain up to date on the status of your application and learn about new career opportunities as they arise.

      Qualifications

      Skills

      Behaviors

      :

      Motivations

      :

      Education

      Experience

      Licenses & Certifications

      ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=57110614-018d-48f4-a359-1af75d62f281,feed-importer@jobboard.io,,,,2023-08-02T16:04:04.479Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/242608273-enterprise-tech-desk-specialist-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=57110614-018d-48f4-a359-1af75d62f281,draft,2023-07-03T16:04:04.479Z,import-xml-feed:Scrapy-Scraper,,,,,,, +

      Location(s): Canada : Ontario : Toronto

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

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

      ",,https://jobs.scotiabank.com/job/Sr-Manager%2C-IT-Asset-Management-Hybrid/566523417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-10T15:57:04.542Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/242607503-sr-manager-it-asset-management-hybrid-at-scotiabank,https://jobs.scotiabank.com/job/Sr-Manager%2C-IT-Asset-Management-Hybrid/566523417/,draft,2023-07-03T15:52:03.541Z,import-xml-feed:Scotiabank,,,,,,, a3050533-f4a9-4385-9659-5b1d4188e665,242796076,Vector Institute,"Manager, Office of the CEO",on_site,"Ontario, Canada",2023-07-04T02:12:02.126Z,"

      POSITION SUMMARY



      @@ -781,114 +1587,492 @@ a3050533-f4a9-4385-9659-5b1d4188e665,242796076,Vector Institute,"Manager, Office
    • You possess a strong sense of discretion and confidentiality in all matters.
    • ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=19000101_000001&jobId=449100&lang=en_CA&source=CC2&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2023-08-03T02:12:02.137Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/242796076-manager-office-of-the-ceo-at-vector-institute,,draft,2023-07-04T02:12:02.126Z,import-xml-feed:Vector-Institute-Job,,,,,,, -135a0ce1-d2b5-4c37-8f14-1a62c4a81d79,237206018,EllisDon,Infrastructure Specialist Engineer,on_site,"Mississauga, ON L4Y1M4, CAN Mississauga, ON L4Y1M4, CAN",2023-06-17T16:04:02.222Z,"

      Job Details

      Description

      -

      Connect with us LinkedIn, Instagram, Facebook, Twitter

      -

      Thinking about a change?

      -

      We recognize that the construction industry is changing at a rapid pace and we continually strive to be at the forefront. Our core values empower people to deliver great careers and develop creative solutions for complex problems on some of the most intricate projects. It doesn’t matter what your expertise and craft is – there are no boundaries. We are a group of leading professionals with a variety of expertise: engineers, investment bankers, superintendents, estimators, software engineers, accountants, lawyers, marketing and communications consultants, sustainability professionals, and project managers. As you can see, we are a diverse bunch.

      -

      In case you’re curious, here’s what the industry thinks of us and some cool things we have done.

      -

      You as an Infrastructure Specialist Engineer will:

      -
        -
      • Optimize performance of databases, networks, applications, and servers
      • -
      • Manage the host environment to ensure proper tuning and sufficient capacity (including Azure Cloud virtual machines, MS SQL Database servers, VMWare, Cisco, Citrix, SAN, directories, and blades)
      • -
      • Administer automated workflow tools, middleware application servers, and server visualization technologies (i.e., VMware, Hyper-V, Citrix)
      • -
      • Create and support virtual machines (VMs) for development teams using VMware, Azure, Citrix, AWS or GCP Cloud platforms
      • -
      • Create, apply, and enforce processes for promoting all infrastructure components from the development environment to the testing, demonstrating, and generating environments
      • -
      • Maintain reliability of systems and networks by monitoring, running tests, and troubleshooting
      • -
      • Conduct complex technical evaluation and suggest proposed physical architectures along with detailed designs
      • -
      • Ensure the smooth flow of data throughout an organization, including on-premises physical equipment, cloud-based virtual machines, and services
      • -
      -

      Is this the right role for you?

      -
        -
      • A university degree or college diploma in IT, or equivalent
      • -
      • 10 + years of F/T industry-level experience as an Infrastructure Engineer or equivalent
      • -
      • Experience in Azure Cloud Services & infrastructure, Windows domain networks, Citrix Cloud Services
      • -
      • Support Experience with Enterprise Hardware and Datacenter equipment (Servers, SAN, NAS, Network Storage and Backup) Dell, Lenovo/IBM
      • -
      • Experience in Microsoft Windows Server 2016, 2019, 2022 Installation, Setup, Upgrading and Patching, and Security
      • -
      • Able to travel two hours away from the Mississauga area once every four months
      • -
      • Problem solving/analytical skills, knowledge of analytical tools, and complex troubleshooting methods
      • -
      • Self‐motivated, able to work independently, and takes initiative
      • -
      • Outstanding attention to detail with superior time and project management skills
      • -
      • Able to multitask in a fast‐paced environment
      • -
      -

      EllisDon is proud to provide this unique career opportunity within a progressive environment with continuous learning and opportunity for growth, as well as a competitive compensation package.

      -

      Go ahead and be yourself. We'll pay you for it!

      -

      We are an equal opportunity employer. We welcome people of any age, culture, subculture, gender identity or expression, sexual orientation, nationality, ethnicity, race, size, mental or physical status, veteran status, religion, language, political opinion, working-style preference, family status, education, and socio-economic status. The EllisDon core values of Integrity and Mutual Respect welcomes everyone, at work and in the community, and our value of Mutual Accountability, means that we all have a role to play. As an EllisDon employee, this will ultimately be your commitment to Inclusive Diversity.

      -

      Accommodation for Applicants will be made during the recruitment process when requested.

      Qualifications

      Skills

      Behaviors

      :

      Motivations

      :

      Education

      Experience

      Licenses & Certifications

      ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=7a9e892c-4293-4a7e-9eae-d14526b0e3de,feed-importer@jobboard.io,,,,2023-06-19T16:09:03.008Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206018-infrastructure-specialist-engineer-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=7a9e892c-4293-4a7e-9eae-d14526b0e3de,draft,2023-06-17T16:04:02.222Z,import-xml-feed:Scrapy-Scraper,,,,,,, -e2a402dd-adc3-489d-b24f-fcd8cc6a29e0,237206024,Magna International,Automation Robotics Technician (Night Shift) 1,on_site,"Concord, ONTARIO, CA, L4K 2R2",2023-06-17T16:04:02.499Z,"
      +65af92f0-e9e3-4fb6-9a13-affa9e051cd0,246294145,Magna International,IT System Analyst,on_site,"Brampton, ONTARIO, CA, L6R 0A9",2023-07-13T16:04:02.184Z,"
      -

      HEALTH, SAFETY & ENVIRONMENTAL RESPONSIBILITIES

      -

      Ensure all safety and non-safety rules and regulations are followed. Review and adhere to division-specific health and safety, environmental, and quality standards, operating procedures, and policies. Respond and report in a timely manner to items brought to his/her attention with respect to hazards, defects or non-compliance issues. Understand and uphold the policies that prohibit workplace violence and harassment.

      +

      Role Summary

      +
      +

      This position is for Massiv Die-Form, a division of Cosma International.

      +

      Cosma International, an operating unit of Magna International, is one of the world‘s premier global automotive suppliers providing a comprehensive range of body, chassis, and engineering solutions to our customers. Our pioneering technology and creativity allows our customers to ask for solutions that lie beyond what they previously thought was possible.

      +

      Massiv Die-Form, a division of Magna International, designs and builds medium to large cast automotive and hot stamping dies. Massiv Die-Form is proudly committed to manufacture products of the highest quality, reliability, maintainability and durability for the global automotive market through skilled and dedicated people focused on total customer satisfaction, ongoing protection of the environment and the profitable well being of our company.

      -
      -

      KEY JOB RESPONSIBILITIES

      -

      1. Responsible for modifying existing automation control systems as well as designing, estimating, and commissioning new automation control systems integrated with Robots based on PLC’s
      2. Implement Safety Category 4 for all required installations, presses and robotics work cells
      3. Integrate equipment with robots and various testing and monitoring instruments
      4. Troubleshoot process problems and initiative and/or participate in Continuous Improvement initiatives and quality improvements
      5. Maintain and service automated work cells; mechanical and hydraulic presses
      6. Set up and conduct predictive and preventative maintenance programs for required equipment
      7. Perform all work in good standard, respond to off duty calls, and work rotating shifts if required.
      8. Follow all work cell and/or department standardized work instructions/procedures.
      9. Ensure, with the cooperation of other Co-Ex-Tec departments and Corporate that the division achieves and maintains the highest possible Customer rating for satisfaction; strive for zero defects in all areas of the business.
      10. Ensure compliance and enforcement of Customer Specific Requirements, QMS (IATF16949), Health and Safety (ISO 45001), EMS (ISO14001), and security (PIP) requirements.
      11. Perform housekeeping duties to maintain a clean, safe, and organized work area.
      12. Promote and comply with health, safety, and environmental standards, safe operating procedures, good housekeeping practices and the observance of protective equipment requirements at all times.
      13. Attend authorized training in order to develop and/or maintain relevant job-related knowledge, techniques, skills, and/or certification.
      14. May be required to carry out job duties and responsibilities in a work environment that may include, but is not limited to, varying levels of noise and/or temperature.
      15. Perform any other reasonable duty as required or assigned by Management.

      -

      CORE COMPETENECIES AND SKILLS

      -

      • Proficient knowledge in PLC Programming: Allen Bradley RsLogix 500, 5000, Omron Sysmac Studio, Omron CS-Programmer, Omron NT-series Support Tool, Beckhoff, Visual Studios, Factory Talk View Studio, HMI Software (RsView Studio ME), Office, AutoCAD, Ethernet based communications and networks
      • Ability to understand advanced PLC commands and HMI usage
      • Ability to create and modify electrical drawings, process & instrumentation diagrams and schematics when required
      • Exposure with configuring communication bus architectures using Ethernet and DeviceNet
      • Experience with the design and integration of machine safety circuits, safety PLC’s and applications (ABB Jokab)
      • Relevant experience with motion control architectures preferably around Allen Bradley Kinetix and/or VFD drive systems
      • Experience with Data Tracking using Barcode Scanners or RFID
      • Must be willing to work “hands on” in the manufacturing area
      • Extensive knowledge of the Ontario Electrical Code and Electrical Circuits Confident leading automation programs and integrating robot applications
      • Experience with Fanuc, ABB, and Kuka robots an asset
      • Excellent communication skills both written and oral
      • Excellent analytical and problem solving skills
      • Willing to work overtime as per job requirements

      +

      Key Responsibilities

      +

      +625; The IT System Analyst role at Massiv is to deploy, monitor, and support all IT systems, including network, servers, desktops, laptops, operating systems, software applications and MFPs.
      +625; Assist in maintaining the support desk ticketing system to manage, prioritize and successfully close user reported issues in a timely manner.
      +625; Enforcing data security, endpoint OS security, datacenter security, and access procedures as per Magna IT security policy and customer security policies.
      +625; Develop, test, and review disaster recovery plans in infrastructure and applications.
      +625; Maintaining infrastructure including upgrades of firmware, software & hardware, monitoring systems and logs to detect any hardware or software issues.
      +625; Ensure compliance with ITGC audit control standards and supporting internal and external audits as required.

      -

      EDUCATION AND PROFESSIONAL EXPERIENCE

      -

      • Degree/diploma in Electrical Engineering, or Electro-Mechanical Engineering
      • Certified Electrician, an asset
      • Minimum 3 Years of experience in Electrical / Controls Design and Programmable Logic Controllers / Human Machine Interface Programming (PLC / HMI) / Vision Systems / Robot programming and troubleshooting including debugging, testing and commissioning.
      • Strong MS Office skills

      +

      Key Qualifications/Requirements

      +

      +625; Recognized post-secondary diploma or degree in Computer Science or Computer Engineering.
      +625; Excellent analytical and problem-solving skills.
      +625; Knowledge of Microsoft Server 2019 & 2022, VMware vSphere, PowerShell, SharePoint, Power Automate.
      +625; Active Directory, Active Roles, Group policy, PowerShell, TCP/IP, File & Print Services, Microsoft Intune.
      +625; Microsoft Azure Portal, Azure Files & Blobs storage, Azure Backup, Robocopy, AzCopy.
      +625; Knowledge of HPE SimpliVity & Dell servers, Dell desktop & laptop hardware.
      +625; Experience with Cisco switches, routers, wireless LAN controllers and access points is an asset.
      +625; Able to manage upgrades and new product implementations.

      Additional Information

      -

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

      +
      +

      Working Conditions:

      +

      +625; Onsite office environment.
      +625; Day shift with occasional on-call, off shift work as required

      +

      What we Offer:

      +
      • Competitive Wages
      • Annual Cost of living increases
      • Magna Base Contribution
      • Group RSP Matching Program
      • Profit Sharing Program
      • Flexible benefits packages
      • Magna Wellness Program
      • Training & Development opportunities
      • +
      +

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

      +

      Awareness. Unity. Empowerment.

      -

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

      +

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

      -
      ",,https://jobs.magna.com/job/Automation-Robotics-Technician-%28Night-Shift%29-1/570955117/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-06-26T16:09:01.961Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/237206024-automation-robotics-technician-night-shift-1-at-magna-international,https://jobs.magna.com/job/Automation-Robotics-Technician-%28Night-Shift%29-1/570955117/,draft,2023-06-17T16:04:02.499Z,import-xml-feed:Scrapy-Scraper,,,,,,, -5cdc1251-1ee3-40d0-9ff8-b2536c9f33bb,237206034,Magna International,Systems Engineer,on_site,"St. Thomas, ONTARIO, CA, N5P 1G6",2023-06-17T16:04:04.282Z,"
      -
      -

      Additional Information

      -

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

      +
      ",,https://jobs.magna.com/job/Brampton-IT-System-Analyst-ONTA-L6R-0A9/572069217/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-08-12T16:04:02.185Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/246294145-it-system-analyst-at-magna-international,https://jobs.magna.com/job/Brampton-IT-System-Analyst-ONTA-L6R-0A9/572069217/,draft,2023-07-13T16:04:02.184Z,import-xml-feed:Scrapy-Scraper,,,,,,, +13d893b3-e744-4f95-a6d3-275a2ef6bdcc,246294058,Scotiabank,Wealth Management Associate Program - June 2024 (Ontario Region),on_site,Canada : Ontario : Ottawa || Canada : Ontario : Hamilton || Canada : Ontario : London || Canada : Ontario : Sudbury || Canada : Ontario : Toronto,2023-07-13T15:52:02.836Z,"

      +

      +

      +

      +

      Requisition ID: 181074

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

      +

      +

      Wealth Management Associate Program

      +

      June 2024

      +

      +

      Scotiabank is among the largest banks in the world and is Canada’s most international bank. We are powered by high-performing (and awesome) teammates who make a real difference across the globe as a leading provider of advice, products, digital experiences, and financial services in more than 50 countries. Together with our Digital Factories around the world, we are dedicated to helping over 25 million customers become better-off.

      +

      +

      This is a place where you’ll get to learn and develop your skills, while being recognized for your hard work. At Scotiabank, we’re passionate about bringing our whole selves to work, allowing us to create inclusive work environments for everyone to enjoy. Say hello to a career at Scotiabank.

      +

      +

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

      +

      +

      There has never been a better time to join Scotiabank as a Wealth Management Associate. The Wealth Management Associate Program is a 5 month salaried program aimed at developing sales and entrepreneurial-minded individuals into a Wealth Advisory role. The program is focused on building a foundation for success centered on developing core financial planning skills and complementary client discovery skills attained through the wealth planning process.

      +

      +

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

      +

      +
      • You're completing an undergrad or master’s degree by June 2024, or you are currently working and have developed a passion for client relationships and financial advice.
      • You have a strong aspiration to build a career in a Wealth Advisory role.
      • You’re a curious, competitive critical thinker who thrives in change and collaborating with others.
      • You have a sales and relationship focused mindset.
      • You have exceptional relationship management skills; the ability to build and maintain strong collaborative client and internal/ external partner relationships.
      • You can demonstrate an ability to influence, persuade and build consensus as well as the ability to effectively communicate, verbally and in writing.
      • You can demonstrate flexibility in adapting to constantly changing environments.
      • You possess excellent self-awareness and seek feedback to leverage opportunities.
      • You have strong organization and time management skills, and the ability to work independently.
      • You have the problem-solving skills to go with your maturity, making you adaptable to many situations.
      • You're ambitious, entrepreneurial-minded and want to grow your career.
      • You’re resilient, positive and possess a high level of energy and perseverance.
      • You are flexible and are willing to relocate to another area of Canada.
      • +
      +

      +

      What’s in it for you?

      +
      • A comprehensive training program that will lead you to the Certified Financial Planning Certification and provide you with a thorough understanding of Scotiabank’s Wealth Advisory businesses and Total Wealth Planning approach.
      • Opportunities within the Wealth Advisory businesses to gain exposure as to how these areas apply to an overall wealth strategy for a client’s life.
      • Placement in a Scotiabank Wealth Management office to work with wealth teams to gain relevant and practical experience, complementary training, and support to help prepare you to attain licensing requirements associated with transitioning into a Wealth Management Advisory role.
      • Ongoing support during the program through various touch points with the Program Lead, Total Wealth Planning leaders, and your local Manager.
      • A compensation program with competitive salary, opportunities for annual performance incentives based on performance thresholds, a flexible benefits program and continuing education programs.
      • +
      +

      +

      How do I apply?

      +

      +

      Please complete all three steps below:

      +

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

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

      +

      +

      Location(s): Canada : Ontario : Ottawa || Canada : Ontario : Hamilton || Canada : Ontario : London || Canada : Ontario : Sudbury || Canada : Ontario : Toronto

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

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

      ",,https://jobs.scotiabank.com/job/Ottawa-Wealth-Management-Associate-Program-June-2024-%28Ontario-Region%29-ON/572026017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-12T15:52:02.846Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/246294058-wealth-management-associate-program-june-2024-ontario-region-at-scotiabank,https://jobs.scotiabank.com/job/Ottawa-Wealth-Management-Associate-Program-June-2024-%28Ontario-Region%29-ON/572026017/,draft,2023-07-13T15:52:02.836Z,import-xml-feed:Scotiabank,,,,,,, +d29f6d67-0e23-493e-a6e1-218b8eb56d30,246294061,TD Bank Group,CPA Pre-Approved Associate Program,on_site,"Toronto, ON",2023-07-13T15:53:03.008Z,"
      +

      Company Overview

      +
      +

      All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

      +

      TD’s Colleague Promise: A better you. A better us.

      +

      A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

      -
      -

      Role Summary

      +

      +

      Department Overview

      +
      +

      Why work for TD?
      TD is a great organization powered by great people who want to make a difference every day. Our over 95,000 employees world-wide are a big part of what makes TD stand out from any other organization. Every day, we deliver legendary customer and client experiences to our approximately 22 million customers. We’re an award-winning organization that reinvests constantly to ensure future growth.

      +

      We’re recognized as an extraordinary place to work that embraces diversity, where everyone is respected and valued. TD is the sixth largest bank in North America by branches, with many exciting and challenging career opportunities in our four key businesses:

      +
      • +Canadian Personal and Commercial Banking – including TD Canada Trust and TD Insurance +
      +
        +
      • Wealth Management – including TD Waterhouse and an investment in TD Ameritrade
      • +
      • +U.S. Personal and Commercial Banking – including TD Bank, America’s Most Convenient Bank +
      • +
      +
      • Wholesale Banking – including TD Securities
      +

      Who We Are
      The TD CPA Pre-Approved Associate Program is designed to attract, develop and retain top talent and build a leadership pipeline within the Internal Audit Division.

      +

      Each CPA Associate will have the opportunity to rotate through various Internal Audit teams and Finance functions in order to develop CPA competencies, expand their network and gain understanding of some groups within TD Finance.

      +

      The TD CPA Pre-Approved Associate Program is a 30-month program consisting of rotations as follows:

      +
      • Internal Audit (2x nine-month rotations) – See the bank from the “third line of defense” perspective and deliver high quality assurance services to our diverse internal audit clients. Internal Audit Groups could include teams such as: TD Securities Audit, Retail Audit, IT Audit, Wealth Audit, and Finance Audit.
      +

      And one of the following:

      +
      • +Chief Accountant’s (1x twelve-month rotation) – Gain exposure to the world of financial reporting and implementation of accounting policies in the organization. OR +
      +
      • Finance (1x twelve-month rotation) – Gain experience in planning, budgeting and forecasting in our Wealth Finance team.
      +

      CPA Associates will receive:

      +
        +
      • In class training as well as on the job experience
      • +
      • Exam and Module fees related to the CPA PEP program
      • +
      • External training preparation for the CFE
      • +
      • Regular feedback and support from the CPA Program Manager and CPA Mentors
      • +
      • Performance assessment and coaching for each rotation
      • +
      +

      Upon successful completion of rotations, CPA Associates will be fully prepared to move into a full-time role in Internal Audit.

      +
      +

      +

      Job Description

      +
        +
      • Use your strong communication, analytical and problem-solving skills to add value to each assignment and/or engagement you are assigned;

      • +
      • Interact with other CPA Associates to share learning and network within the organization;

      • +
      • Demonstrate initiative and interest in self-development and learning through rotations;

      • +
      • Be flexible and adaptable in changing environments and expectations;

      • +
      • Be able to multitask and prioritize competing priorities;

      • +
      • Apply audit, accounting and finance principles to perform internal audit engagements, research and implementation projects for Chief Accountant’s, and complete finance duties; and

      • +
      • Define opportunities for continued enhancements to business processes and make recommendations within assigned area of responsibility.

      • +
      +

      +

      Requirements

      +
      +
        +
      • Committed to pursuing a career in Audit;

      • +
      • Strong problem-solving skills and analytical capabilities, qualitative and quantitative; can see the “big picture” in a complex environment;

      • +
      • Demonstrated leadership through volunteer activities and community involvement;

      • +
      • Independent thinker who takes initiative to capitalize on opportunities or minimize problems;

      • +
      • Excellent business acumen, verbal communication (both one-on-one and in small groups) and written communication skills;

      • +
      • Ability to work effectively in a team environment and develop business relationships with partners and stakeholders; and

      • +
      • Demonstrated ability to prioritize and multitask through previous work experience; Microsoft Office Suite.

      • +
      +

      Specific Educational Requirements/Accreditations:

      +
        +
      • Undergraduate degree with all required courses for entry into CPA PEP program (by the start date in September 2024); and

      • +
      • Meets CPA PEP entry grade requirements, as outlined by CPA Ontario (see CPA Ontario website).

      • +
      +
      +

      +

      Additional Information

      +
        +
      • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (two letter-sized pages or less). We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.

      • +
      • Start Date: September 2024

      • +
      • Posting closes: July 31st, 2023

      • +
      • Location: Toronto

      • +
      +

      +

      Start Date

      +
      – Fall
      +

      +

      Inclusiveness

      +

      At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

      +

      +
      ",,https://jobs.td.com/en-CA/jobs/18720605/cpa-pre-approved-associate-program-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-08-12T15:53:03.015Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/246294061-cpa-pre-approved-associate-program-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18720605/cpa-pre-approved-associate-program-toronto-ca/,draft,2023-07-13T15:53:03.008Z,import-xml-feed:TD-Bank-Group---Job,,,,,,, +be4926a5-b045-40a5-ac73-a8ace40c0fb3,246385540,RBC,Fin-Tech Partnership- Vice President,on_site,"Toronto, ON, Canada",2023-07-14T01:51:02.554Z,"
      +

      Come Work with Us!

      At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

      Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

      +

      Job Title

      Fin-Tech Partnership- Vice President

      +

      +

      Job Description

      +

      What is the Opportunity?

      +

      +

      The Fin-Tech Partnership Vice President for US Cash Management will have accountability for the development of external partnerships for RBC’s new Cash Management business. The development of partnerships will be a critical building block in the cash management offering and will be needed for the go-to-market strategy to be executed in a timely fashion. This role will be responsible for identifying, fostering, structuring, and executing partnerships. This role will report to the Director of Business Insights and External Partnerships and will need to liaise across many other verticals such as product, compliance, sales, and technology. It will also play a strategic part in our product roadmap of the future.

      +

      +

      What will you do?

      +
        +
      • Continuously review market landscape, identifying commercial deal opportunities across partners, start-ups and industry players that will position RBC as a world-class market leader
      • +
      • Identify and develop new fintech partnerships and relationships that will create value for our new stack of cash management solutions and drive C-Suite engagement to drive step function growth
      • +
      • Draw upon experience in business development and payments to identify potential deals, develop the tactics and manage the teams, process and programs needed to bring them to fruition
      • +
      • Structure, negotiate, and execute deals
          +
        • Work across the cash management organization to ensure that deals align with product offerings and pricing strategies
        • +
        • Work with our cross-functional partners to structure acceptable deals terms (e.g., Legal)
        • +
        +
      • +
      • Lead the deal pipeline for new fintech partners and venture activities
      • +
      • Solution / recommend, develop, and implement new and creative approaches to grow clients’ businesses
      • +
      • Identify and drive use cases to diversify revenue concentration and build and launch best practices for approach to global deals and account management
      • +
      • Synthesize findings from across various clients and sub-sectors to develop a thesis on the future of money movement that can inform fintech BD strategy, product development, and larger conversations on industry evolution
      • +
      +

      People Leadership & Collaboration

      +
        +
      • Collaborates cross-functionally across Cash Management team and our functional partners to ensure successful implementation of new partnerships
      • +
      • Maintains effective relationships and routines with business leaders and program/initiative teams
      • +
      +

      What do you need to succeed?

      +
        +
      • Experienced business development professional and financial services/technology sector expert who can identify potential deals and develop the tactics, teams, processes and programs needed to bring those deals to fruition
      • +
      • Experience cultivating deep partnerships with current and potential internal/external partners. Understands the payments and financial services industries and can link client needs to opportunities for future service developments or enhancements
      • +
      • Financial/payment industry knowledge required
      • +
      • Should be an excellent, creative thinker and problem solver
      • +
      • Demonstrated skill in gaining credibility with and respect of high-performing leaders within and outside the organization
      • +
      • High levels of learning agility with a real interest in the fintech ecosystem and a ‘technology / digital-first’ approach
      • +
      • Excellent listening and communication skills (both verbal and written), and executive presence
      • +
      • Ability to explain complex business and technical concepts to broad audiences in an approachable way to influence and drive adoption
      • +
      • Demonstrated success in driving revenue acceleration with new product offerings
      • +
      • Demonstrated thought leadership and the aptitude to think creatively and identify new ways to innovate and differentiate products with evidence of tangible business results
      • +
      • Ability to inspire and influence others without direct management responsibility
      • +
      • Diversity of thought and experience as well as a desire to continually seek new perspectives and feedback, take an inclusive approach, and engage diverse points of view
      • +
      • Ability to influence/operate effectively across a matrixed organization (functions & geography) to drive positive outcomes
      • +
      • Minimum of Bachelor\'s degree in related field; 7-12 years experience, with 3 years in people management.
      • +
      +

      #USACASHMGMT

      +

      +

      What’s in it for you?

      +

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

      +
        +
      • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
      • +
      • Leaders who support your development through coaching and managing opportunities
      • +
      • Ability to make a difference and lasting impact
      • +
      • Work in a dynamic, collaborative, progressive, and high-performing team
      • +
      • Opportunities to do challenging work
      • +
      • Opportunities to building close relationships with clients
      • +
      +

      +

      The good-faith expected salary range for the above position is $150,000-$200,000 depending on factors including but not limited to the candidate’s experience, skills, registration status; market conditions; and business needs. This salary range does not include other elements of total compensation, including a discretionary bonus and benefits such as a 401(k) program with company-matching contributions; health, dental, vision, life and disability insurance; and paid time-off plan.

      +

      RBC’s compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that:

      +

      · Drives RBC’s high performance culture

      +

      · Enables collective achievement of our strategic goals

      +

      · Generates sustainable shareholder returns and above market shareholder value

      +

      +

      +

      +

      Job Summary

      The Fin-Tech Partnership Vice President for US Cash Management will have accountability for the development of external partnerships for RBC’s new Cash Management business. The development of partnerships will be a critical building block in the cash management offering and will be needed for the go-to-market strategy to be executed in a timely fashion. This role will be responsible for identifying, fostering, structuring, and executing partnerships. This role will report to the Director of Business Insights and External Partnerships and will need to liaise across many other verticals such as product, compliance, sales, and technology. It will also play a strategic part in our product roadmap of the future.

      Address:

      Jersey City, New Jersey, United States of America

      City:

      USA-NJ-JERSEY CITY

      Country:

      United States of America

      Work hours/week:

      40

      Employment Type:

      Full time

      Platform:

      Capital Markets

      Job Type:

      Regular

      Pay Type:

      Salaried

      Posted Date:

      2023-06-14

      Application Deadline:

      2023-07-06
      +

      Inclusion and Equal Opportunity Employment

      +

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

      +
      +

      Join our Talent Community

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

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

      +
      ",,https://jobs.rbc.com/ca/en/job/R-0000061605/Fin-Tech-Partnership-Vice-President,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-08-13T01:51:02.564Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/246385540-fin-tech-partnership-vice-president-at-rbc,,draft,2023-07-14T01:51:02.554Z,import-xml-feed:RBC-Job-Feed,,,,,,, +eff8c05c-458c-404a-88c6-a881b4c479ca,247786997,CN,Expert Data Platform Architect,on_site,"Ontario, Canada",2023-07-18T02:18:02.300Z,"
      +

      +
      At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!
      +

      +
      Job Summary
      -

      POSITION SUMMARY:

      -

      The Systems Engineer’s role is to ensure the stability, integrity, and efficient operation of the in-house information systems that support Formet’s business functions. This is achieved by monitoring, maintaining, supporting, and optimizing all networked software and associated operating systems. The individual will apply proven communication, analytical and problem solving skills to help identify, communicate and resolve systems issues in order to maximize and continually improve Formet’s Information Systems.

      -

      RECOMMENDED QUALIFICATIONS:

      -


      • University Degree/College Diploma in a related computer science program and 4 years of recent experience in a similar position OR;
      • Minimum of 6 years recent extensive hands-on experience in a similar position.
      • Experience working in an automotive manufacturing environment is desired.
      • Strong technical background, with an emphasis on the administration of servers and networks.
      • Experience working with SAP R/3, including a solid understanding of hardware and software installation, configuring and tuning would be an asset.

      -


      BENEFITS:

      -


      • Weekly pay via direct deposit
      • Overtime (1.5x) after 44 hours worked
      • Vacation entitlement
      2 weeks of paid vacation (3 weeks after 3 years) + 3 company paid holidays + 2x ½ days = 14 days annually
      • Medical and Dental Benefits after 1 month of employment.
      • Magna will contribute an amount equal to 3% of regular earnings every week to your retirement savings (MBC program)
      • Profit sharing paid in the second quarter of every year (EEPPP Program)
      • Matched GRRSP
      • Company Paid Life Insurance and Accidental Death and Dismemberment (AD&D)
      • Safety Shoe annual allowance, prescription Safety Glasses annual allowance, Custom Molded Earplug allowance
      • Company paid uniforms (if you choose to use).
      • Company BBQ, Holiday Parties and Company Events
      • Corporate Social Responsibility Initiatives
      • Annual Employee Opinion Survey
      • Magna Service Award Program
      • Magna Scholarship Program
      • Roger’s and Bell cellphone data plan available – as low as $40/month!
      • Subsidized cafeteria
      • Educational Assistance Program
      • Jump Start Program for personal training - $300 benefit
      • Employee Discounts: new vehicles, amusement parks, etc.
      • Plant-Wide Continuous Improvement Program: 2021 bonus = $1860
      • You get to work with a FANTASTIC Team!

      +

      CN Data Services (CNDS) is seeking an Expert Data Platform/Systems Architect to lead the delivery of critical Data Platform solutions. As a full stack architect, you will lead the architecture of cloud data platforms and to drive the creation industry leading cloud data platform.

      +

      You will define practical architectures that ensure the performance, scalability, cost and maintainability of complex distributed systems that will support the business needs and that will align with the CN directions and standards.

      +

      You will also contribute to the definition of strategic technology directions and define continuous improvement objectives in collaboration with CN Data Services leadership team

      +
      +
      Main Responsibilities
      +

      +
      Data Platform Architecture and Delivery
      +

      · Lead the delivery of Canadian National Data Services (CNDS) initiatives including the data platform and operational data products

      · Create systems architectures and modernization strategies related to data platforms

      · Complete systems integrations and ingestion design patterns, Data Lake, Data Lake House, and Data Warehouse architecture along with target and transitions architectures and roadmaps

      · Design and optimize platform and integration strategies for the cost-effective delivery of scalable and reliable distributed systems

      · Resolve Total Cost of Ownership (TCO) and Return on Investment (ROI) for the data platform and data products

      · Work with Enterprise Architecture to align and introduce new solutions and technologies

      · Work with Solution Architects to ensure the data platform is integrated into a solution efficiently

      Data Platform Architecture Practice Evolution

      · Evaluate current and emerging technologies

      · Lead the CNDS team, fostering a culture of design thinking, brainstorming, efficiency, and balancing vision with practicality

      · Define architecture and engineering standards, patterns and best practices

      · Influence CNDS leadership with effective communication of proposals, directions and strategic decision making

      Working Conditions

      The role has standard working conditions in an office environment with a regular workweek from Monday to Friday. Due to the nature of the role, the incumbent must be able to meet tight deadlines, handle pressure, and stress. The role requires minimal travel (up to 10%), within Canada and the United States (U.S.).

      Requirements

      Experience

      Data Architecture

      · Minimum 12 years of experience with applications, data, and cloud

      o Minimum 5 years of experience as an architect with technology architecture covering big data, data engineering, data analytics, systems integration, and distributed computing

      o Minimum 3 years of experience as senior architect using cloud technologies and big data technologies including data analytics

      Education/Certification/Designation

      · Bachelor’s Degree in a technology-related field or equivalent experience

      Competencies

      · Inspires others with impactful communications and adapts to the audience through speech and writing

      · Applies analytical thinking

      · Innovates through problem solving

      · Knows the business and stays current with industry trends to elevate expertise and work

      · Demonstrates organizational abilities

      · Collaborates with key internal stakeholders to enable higher productivity

      · Works independently with little supervision

      Technical Skills/Knowledge

      +
      +

      +

      § Strong Experience architecting and building enterprise grade products

      +

      § Strong Experience with Azure and GCP cloud Data Platforms, Data Analytics and Data Engineering

      +

      o Azure Databricks is a must

      +

      o Azure Data Lake Gen2

      +

      o Azure Data Factory

      +

      o Azure Data Explorer

      +

      o Azure KeyVault

      +

      o Azure Event Hub and Event Grid

      +

      o Google BigQuery

      +

      o Google Dataproc

      +

      o Google Cloud Data Fusion

      +

      o Google Dataflow

      +

      o Google Cloud Composer

      +

      o Google Dataprep

      +

      o Google Dataplex

      +

      o Google BigLake

      +

      o Google Storage

      +

      o Google Key Management

      +

      o Google Vertex

      +

      § Strong Experience with data and analytics architectures and concepts

      +

      o Batch and streaming cloud architectures

      +

      o Lambda architecture

      +

      o Kappa architecture

      +

      o ETL and ELT pipelines

      +

      o Data and Analytics cloud architecture

      +

      o Lake House Architecture

      +

      o Data Fabric

      +

      o Data Mesh

      +

      o Cloud Data Warehouse

      +

      § Distributed Systems & Enterprise Messaging Architecture

      +

      o Experience with Async Communications and Reliable Messaging

      +

      o Experience with Event Driven Architecture - Pub-Sub, Kafka, MQ, MQTT, AMQP, Event Hub, Logstash

      +

      § A2A & B2B Integration Architecture

      +

      o Experience with SOA architecture, patterns and implementation

      +

      o Experience with Integration of Transactions, Data, Streaming, Batch, Files, APIs

      +

      § Data & Database Architectures

      +

      o Domain Driven Design data modeling

      +

      o OLTP/OLAP

      +

      o SQL, NoSQL, Document (MongoDB), Graph, Search

      +

      o Caching – Hazelcast, Redis

      +

      § Cloud Architecture is an asset

      +

      o Experience architecting/operating solutions build on Azure, GCP, others

      +

      o Experience with IaaS, PaaS, SaaS systems

      +

      o Experience with infrastructure, networking and security in cloud-based delivery models

      +

      § DevOps architecture is an asset

      +

      o Experience working with DevOps, CI/CD/CT – Azure DevOps, GitHub, GitLab

      +

      § Experience with AI/ML technologies is an asset

      +

      § Experience in program & project scoping and planning with Agile process and tools

      +

      § Experience in delivering agile and iterative architectures

      +

      § Experience with Legacy Systems Modernization (Mainframe, Java, IIB, DataStage, Netezza) is a plus

      +

      +
      About CN
      +

      +
      CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.
      +

      +
      For internal candidates, note that the grade level of the position will depend on the employee\'s experience.
      +

      +

      +

      +

      +

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

      +
      ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/10919?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-08-17T02:18:02.300Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/247786997-expert-data-platform-architect-at-cn,,draft,2023-07-18T02:18:02.300Z,import-xml-feed:Selenium-Scraper,,,,,,, +ac0899de-e4d6-461e-bc2d-721a14549ba1,247787000,Avidbots,DevOps Engineer,on_site,"Ontario, Canada",2023-07-18T02:18:02.722Z,"
      +

      At Avidbots, we believe in solving real world problems with autonomous robotics solutions. Our current product, Neo, is a fully autonomous floor scrubbing robot deployed and trusted by the world’s leading facilities, building services, and retail companies and we aren’t stopping there! Headquartered in Kitchener, ON, Canada, Avidbots is a rapidly growing technology company, recognized as a Great Place to Work and one of Deloitte\'s Fast 500. Take a look at what Neo can do!

      +

      +

      This opportunity is a hybrid position

      +

      +

      About the role:

      +

      As a DevOps Engineer of the remote team, you will play a critical role in our organization\'s success by designing, implementing, and maintaining the infrastructure and systems that support our operations. This role requires a unique blend of skills in Linux, and Python, along with DevOps, cloud computing principles and C++.

      +

      +

      The successful candidate will be responsible for ensuring that our systems are optimized for performance, security, and reliability, and will work closely with cross-functional teams to support the organization\'s goals. The role offers professional growth and development opportunities in a fast-paced, dynamic environment. If you are a highly skilled engineer with a passion for infrastructure and system design, we encourage you to apply for this exciting opportunity.

      Key Responsibilities:

      +
        +
      • + Design and implement infrastructure solutions that meet the needs of the organization, including server architecture, networking, storage, and security. +
      • +
      • + Monitor and troubleshoot production systems to ensure uptime and performance, and implement solutions to address any issues. +
      • +
      • + Collaborate with cross-functional teams to ensure that infrastructure and systems are integrated and optimized to support the organization\'s goals. +
      • +
      • + Implement DevOps best practices, including continuous integration and delivery, configuration management, and automated testing. +
      • +
      • + Maintain AWS cloud infrastructure +
      • +
      • + Develop and maintain documentation for infrastructure and systems, including procedures, policies, and system configurations. +
      • +
      • + Stay up-to-date with industry trends and emerging technologies, and make recommendations for improvements to infrastructure and systems. +
      • +
      • + Develop, test, and maintain C++ applications and scripts for automation and monitoring of infrastructure and systems. +
      • +
      • + Develop, test, and maintain Python applications and scripts for automation and monitoring of infrastructure and systems. +
      • +
      +

      +

      Required Skills & Experience:

      +
        +
      • + BE / B-Tech or higher degree in Computer Science / Engineering +
      • +
      • + 5+ years of overall infrastructure software development and support process experience +
      • +
      • + Strong understanding of DevOps principles and best practices, including continuous integration and delivery, infrastructure as code, and automated testing. +
      • +
      • + Working knowledge of Jenkins, Jira, confluence, bitbucket, Docker +
      • +
      • + Extensive background in Linux system administration (5 Years), including command-line tools, shell scripting, and system configuration. +
      • +
      • Proficiency in Python programming, with knowledge of scripting, data analysis, and web development frameworks.
      • +
      • +Proficiency in C++ programming, with knowledge of data structures, algorithms, and object-oriented programming principles. +
      • +
      • + Excellent communication and collaboration skills, with the ability to work effectively in a team environment. +
      • +
      +

      +

      Nice to have:

      +
        +
      • + Experience with cloud computing platforms, such as AWS / Azure. +
      • +
      • + Knowledge of ROS to build and reuse code between robotics applications. +
      • +
      • + Familiarity with docker orchestration tools such as Kubernetes. +
      • +
      • + Experience with configuration management and infrastructure provisioning tools such as Ansible, Puppet, or Chef +
      • +
      +

      +

      Avidbots is an equal opportunity employer committed to building a diverse workforce. As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. We offer a professional working environment and culture and believe that work/life balance is critical to ensure the happiness/well-being of our people.

      +

      Upon request, Avidbots will provide reasonable accommodation for applicants with disabilities throughout the recruitment and selection process

      +


      +
      ",,https://avidbots.bamboohr.com/careers/669,feed-importer@jobboard.io,,,,2023-08-17T02:18:02.722Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/247787000-devops-engineer-at-avidbots,,draft,2023-07-18T02:18:02.722Z,import-xml-feed:Selenium-Scraper,,,,,,, +135a0ce1-d2b5-4c37-8f14-1a62c4a81d79,237206018,EllisDon,Infrastructure Specialist Engineer,on_site,"Mississauga, ON L4Y1M4, CAN Mississauga, ON L4Y1M4, CAN",2023-06-17T16:04:02.222Z,"

      Job Details

      Description

      +

      Connect with us LinkedIn, Instagram, Facebook, Twitter

      +

      Thinking about a change?

      +

      We recognize that the construction industry is changing at a rapid pace and we continually strive to be at the forefront. Our core values empower people to deliver great careers and develop creative solutions for complex problems on some of the most intricate projects. It doesn’t matter what your expertise and craft is – there are no boundaries. We are a group of leading professionals with a variety of expertise: engineers, investment bankers, superintendents, estimators, software engineers, accountants, lawyers, marketing and communications consultants, sustainability professionals, and project managers. As you can see, we are a diverse bunch.

      +

      In case you’re curious, here’s what the industry thinks of us and some cool things we have done.

      +

      You as an Infrastructure Specialist Engineer will:

      +
        +
      • Optimize performance of databases, networks, applications, and servers
      • +
      • Manage the host environment to ensure proper tuning and sufficient capacity (including Azure Cloud virtual machines, MS SQL Database servers, VMWare, Cisco, Citrix, SAN, directories, and blades)
      • +
      • Administer automated workflow tools, middleware application servers, and server visualization technologies (i.e., VMware, Hyper-V, Citrix)
      • +
      • Create and support virtual machines (VMs) for development teams using VMware, Azure, Citrix, AWS or GCP Cloud platforms
      • +
      • Create, apply, and enforce processes for promoting all infrastructure components from the development environment to the testing, demonstrating, and generating environments
      • +
      • Maintain reliability of systems and networks by monitoring, running tests, and troubleshooting
      • +
      • Conduct complex technical evaluation and suggest proposed physical architectures along with detailed designs
      • +
      • Ensure the smooth flow of data throughout an organization, including on-premises physical equipment, cloud-based virtual machines, and services
      • +
      +

      Is this the right role for you?

      +
        +
      • A university degree or college diploma in IT, or equivalent
      • +
      • 10 + years of F/T industry-level experience as an Infrastructure Engineer or equivalent
      • +
      • Experience in Azure Cloud Services & infrastructure, Windows domain networks, Citrix Cloud Services
      • +
      • Support Experience with Enterprise Hardware and Datacenter equipment (Servers, SAN, NAS, Network Storage and Backup) Dell, Lenovo/IBM
      • +
      • Experience in Microsoft Windows Server 2016, 2019, 2022 Installation, Setup, Upgrading and Patching, and Security
      • +
      • Able to travel two hours away from the Mississauga area once every four months
      • +
      • Problem solving/analytical skills, knowledge of analytical tools, and complex troubleshooting methods
      • +
      • Self‐motivated, able to work independently, and takes initiative
      • +
      • Outstanding attention to detail with superior time and project management skills
      • +
      • Able to multitask in a fast‐paced environment
      • +
      +

      EllisDon is proud to provide this unique career opportunity within a progressive environment with continuous learning and opportunity for growth, as well as a competitive compensation package.

      +

      Go ahead and be yourself. We'll pay you for it!

      +

      We are an equal opportunity employer. We welcome people of any age, culture, subculture, gender identity or expression, sexual orientation, nationality, ethnicity, race, size, mental or physical status, veteran status, religion, language, political opinion, working-style preference, family status, education, and socio-economic status. The EllisDon core values of Integrity and Mutual Respect welcomes everyone, at work and in the community, and our value of Mutual Accountability, means that we all have a role to play. As an EllisDon employee, this will ultimately be your commitment to Inclusive Diversity.

      +

      Accommodation for Applicants will be made during the recruitment process when requested.

      Qualifications

      Skills

      Behaviors

      :

      Motivations

      :

      Education

      Experience

      Licenses & Certifications

      ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=7a9e892c-4293-4a7e-9eae-d14526b0e3de,feed-importer@jobboard.io,,,,2023-06-19T16:09:03.008Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206018-infrastructure-specialist-engineer-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=7a9e892c-4293-4a7e-9eae-d14526b0e3de,draft,2023-06-17T16:04:02.222Z,import-xml-feed:Scrapy-Scraper,,,,,,, +e2a402dd-adc3-489d-b24f-fcd8cc6a29e0,237206024,Magna International,Automation Robotics Technician (Night Shift) 1,on_site,"Concord, ONTARIO, CA, L4K 2R2",2023-06-17T16:04:02.499Z,"
      +
      +

      HEALTH, SAFETY & ENVIRONMENTAL RESPONSIBILITIES

      +

      Ensure all safety and non-safety rules and regulations are followed. Review and adhere to division-specific health and safety, environmental, and quality standards, operating procedures, and policies. Respond and report in a timely manner to items brought to his/her attention with respect to hazards, defects or non-compliance issues. Understand and uphold the policies that prohibit workplace violence and harassment.

      +
      +

      KEY JOB RESPONSIBILITIES

      +

      1. Responsible for modifying existing automation control systems as well as designing, estimating, and commissioning new automation control systems integrated with Robots based on PLC’s
      2. Implement Safety Category 4 for all required installations, presses and robotics work cells
      3. Integrate equipment with robots and various testing and monitoring instruments
      4. Troubleshoot process problems and initiative and/or participate in Continuous Improvement initiatives and quality improvements
      5. Maintain and service automated work cells; mechanical and hydraulic presses
      6. Set up and conduct predictive and preventative maintenance programs for required equipment
      7. Perform all work in good standard, respond to off duty calls, and work rotating shifts if required.
      8. Follow all work cell and/or department standardized work instructions/procedures.
      9. Ensure, with the cooperation of other Co-Ex-Tec departments and Corporate that the division achieves and maintains the highest possible Customer rating for satisfaction; strive for zero defects in all areas of the business.
      10. Ensure compliance and enforcement of Customer Specific Requirements, QMS (IATF16949), Health and Safety (ISO 45001), EMS (ISO14001), and security (PIP) requirements.
      11. Perform housekeeping duties to maintain a clean, safe, and organized work area.
      12. Promote and comply with health, safety, and environmental standards, safe operating procedures, good housekeeping practices and the observance of protective equipment requirements at all times.
      13. Attend authorized training in order to develop and/or maintain relevant job-related knowledge, techniques, skills, and/or certification.
      14. May be required to carry out job duties and responsibilities in a work environment that may include, but is not limited to, varying levels of noise and/or temperature.
      15. Perform any other reasonable duty as required or assigned by Management.

      -

      Awareness. Unity. Empowerment.

      -

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

      +

      CORE COMPETENECIES AND SKILLS

      +

      • Proficient knowledge in PLC Programming: Allen Bradley RsLogix 500, 5000, Omron Sysmac Studio, Omron CS-Programmer, Omron NT-series Support Tool, Beckhoff, Visual Studios, Factory Talk View Studio, HMI Software (RsView Studio ME), Office, AutoCAD, Ethernet based communications and networks
      • Ability to understand advanced PLC commands and HMI usage
      • Ability to create and modify electrical drawings, process & instrumentation diagrams and schematics when required
      • Exposure with configuring communication bus architectures using Ethernet and DeviceNet
      • Experience with the design and integration of machine safety circuits, safety PLC’s and applications (ABB Jokab)
      • Relevant experience with motion control architectures preferably around Allen Bradley Kinetix and/or VFD drive systems
      • Experience with Data Tracking using Barcode Scanners or RFID
      • Must be willing to work “hands on” in the manufacturing area
      • Extensive knowledge of the Ontario Electrical Code and Electrical Circuits Confident leading automation programs and integrating robot applications
      • Experience with Fanuc, ABB, and Kuka robots an asset
      • Excellent communication skills both written and oral
      • Excellent analytical and problem solving skills
      • Willing to work overtime as per job requirements

      -
      ",,https://jobs.magna.com/job/Systems-Engineer/569448817/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-06-26T16:09:01.961Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/237206034-systems-engineer-at-magna-international,https://jobs.magna.com/job/Systems-Engineer/569448817/,draft,2023-06-17T16:04:04.282Z,import-xml-feed:Scrapy-Scraper,,,,,,, -e13ed5d6-3706-4ab6-9555-6ca868f36036,237206039,Magna International,Controls Engineer,on_site,"Milton, ONTARIO, CA, L9T 4Z7",2023-06-17T16:04:04.983Z,"
      -

      Role Summary

      -

      The Controls Engineer is primarily responsible for researching, developing, designing and testing electronic components products and systems. The Controls Engineer will develop and improve manufacturing control systems and oversee documentation on program changes.

      +

      EDUCATION AND PROFESSIONAL EXPERIENCE

      +

      • Degree/diploma in Electrical Engineering, or Electro-Mechanical Engineering
      • Certified Electrician, an asset
      • Minimum 3 Years of experience in Electrical / Controls Design and Programmable Logic Controllers / Human Machine Interface Programming (PLC / HMI) / Vision Systems / Robot programming and troubleshooting including debugging, testing and commissioning.
      • Strong MS Office skills

      -

      Key Responsibilities

      -
      1. Maintain safety standards of equipment and work area and perform all duties in a safe manner in accordance with the safety policies of Karmax.
      2. Perform all duties in a safe manner in accordance with Section 28 of the Occupational Health & Safety Act and Regulations for Industrial Establishments. Definitions: “Worker” means a person who performs work or supplies services for monetary compensation but does not include an inmate of a correctional institution or like institution or facility who participate inside the institution or facility in a work project or rehabilitation program.
      3. Follow Magna’s Code of Conduct and Ethics and related compliance policies.
      4. Assembles and installs new equipment and machines and is able to make modifications to existing equipment as requested.
      5. Carries out preventative maintenance procedures on mechanical equipment as laid out by the manufacturer’s specifications.
      6. Assists in developing and/or updating Preventive Maintenance procedures.
      7. Perform all duties in an environmentally responsible manner in accordance with the Karmax Environmental Policy Statement—3 P’s. Prevent Pollution, Preserve Natural Resources & Protect our Environment
      8. Perform other duties as required.
      9. -
      +

      Additional Information

      +

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

      -

      Key Qualifications/Requirements

      -
      • University Degree in Electrical/Controls Engineering
      • Strong knowledge of PLCs and Controls
      • Excellent written and verbal communication skills
      • Excellent mathematical, analytical and organizational skills
      • Microsoft Office, VB, AutoCAD
      • Able to safely operate all Material Handling Equipment (Scissor/Boom Lifts, crane, buggy) in assigned area of responsibility.
      • Must be able to work with and communicate effectively with other employees, supervisors and trades
      • -
      +

      Awareness. Unity. Empowerment.

      +

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

      +
      ",,https://jobs.magna.com/job/Automation-Robotics-Technician-%28Night-Shift%29-1/570955117/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-06-26T16:09:01.961Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/237206024-automation-robotics-technician-night-shift-1-at-magna-international,https://jobs.magna.com/job/Automation-Robotics-Technician-%28Night-Shift%29-1/570955117/,draft,2023-06-17T16:04:02.499Z,import-xml-feed:Scrapy-Scraper,,,,,,, +5cdc1251-1ee3-40d0-9ff8-b2536c9f33bb,237206034,Magna International,Systems Engineer,on_site,"St. Thomas, ONTARIO, CA, N5P 1G6",2023-06-17T16:04:04.282Z,"

      Additional Information

      +

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

      +
      +
      +

      Role Summary

      -

      WORK ENVIRONMENT

      -
      • Must be able to work in various locations within and outside the Manufacturing Plant
      • Must be able to work outside of normal office hours to meet needs of department with a Minimum amount of Supervision
      • Lifting up to 20 kgs
      • Exposed regularly to elements such as temperature and noise
      • Must be comfortable working at heights and within confined spaces.
      • -
      +

      POSITION SUMMARY:

      +

      The Systems Engineer’s role is to ensure the stability, integrity, and efficient operation of the in-house information systems that support Formet’s business functions. This is achieved by monitoring, maintaining, supporting, and optimizing all networked software and associated operating systems. The individual will apply proven communication, analytical and problem solving skills to help identify, communicate and resolve systems issues in order to maximize and continually improve Formet’s Information Systems.

      +

      RECOMMENDED QUALIFICATIONS:

      +


      • University Degree/College Diploma in a related computer science program and 4 years of recent experience in a similar position OR;
      • Minimum of 6 years recent extensive hands-on experience in a similar position.
      • Experience working in an automotive manufacturing environment is desired.
      • Strong technical background, with an emphasis on the administration of servers and networks.
      • Experience working with SAP R/3, including a solid understanding of hardware and software installation, configuring and tuning would be an asset.

      +


      BENEFITS:

      +


      • Weekly pay via direct deposit
      • Overtime (1.5x) after 44 hours worked
      • Vacation entitlement
      2 weeks of paid vacation (3 weeks after 3 years) + 3 company paid holidays + 2x ½ days = 14 days annually
      • Medical and Dental Benefits after 1 month of employment.
      • Magna will contribute an amount equal to 3% of regular earnings every week to your retirement savings (MBC program)
      • Profit sharing paid in the second quarter of every year (EEPPP Program)
      • Matched GRRSP
      • Company Paid Life Insurance and Accidental Death and Dismemberment (AD&D)
      • Safety Shoe annual allowance, prescription Safety Glasses annual allowance, Custom Molded Earplug allowance
      • Company paid uniforms (if you choose to use).
      • Company BBQ, Holiday Parties and Company Events
      • Corporate Social Responsibility Initiatives
      • Annual Employee Opinion Survey
      • Magna Service Award Program
      • Magna Scholarship Program
      • Roger’s and Bell cellphone data plan available – as low as $40/month!
      • Subsidized cafeteria
      • Educational Assistance Program
      • Jump Start Program for personal training - $300 benefit
      • Employee Discounts: new vehicles, amusement parks, etc.
      • Plant-Wide Continuous Improvement Program: 2021 bonus = $1860
      • You get to work with a FANTASTIC Team!

      Awareness. Unity. Empowerment.

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

      -
      ",,https://jobs.magna.com/job/Controls-Engineer/570503017/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-17T16:04:04.983Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/237206039-controls-engineer-at-magna-international,https://jobs.magna.com/job/Controls-Engineer/570503017/,draft,2023-06-17T16:04:04.983Z,import-xml-feed:Scrapy-Scraper,,,,,,, +
      ",,https://jobs.magna.com/job/Systems-Engineer/569448817/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-06-26T16:09:01.961Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/237206034-systems-engineer-at-magna-international,https://jobs.magna.com/job/Systems-Engineer/569448817/,draft,2023-06-17T16:04:04.282Z,import-xml-feed:Scrapy-Scraper,,,,,,, 9b64a801-c707-4b66-9f54-37e4f75cacf7,237205974,Scotiabank,"Senior Manager, Model Compliance, Retail & Small Business",on_site,Canada : Ontario : Toronto,2023-06-17T15:52:04.232Z,"

      @@ -933,28 +2117,995 @@ e13ed5d6-3706-4ab6-9555-6ca868f36036,237206039,Magna International,Controls Engi

      Location(s): Canada : Ontario : Toronto

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

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

      ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Model-Compliance%2C-Retail-&-Small-Business-ON-M5H1H1/570098117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-03T15:57:04.998Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/237205974-senior-manager-model-compliance-retail-small-business-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Model-Compliance%2C-Retail-&-Small-Business-ON-M5H1H1/570098117/,draft,2023-06-17T15:52:04.232Z,import-xml-feed:Scotiabank,,,,,,, -71260e6c-1a5f-43a0-840b-733678217e68,237205981,Scotiabank,"Senior Manager, Trade Floor Risk Management (Foreign Exchange)",on_site,Canada : Ontario : Toronto,2023-06-17T15:52:05.545Z,"

      +930cb15a-23fe-4bcb-a692-5f194f8e2d1e,237205998,TD Bank Group,"Sr Mgr, Business Application Mgmt (Portfolio Lead)",on_site,"Toronto, ON",2023-06-17T15:53:02.323Z,"
      +

      Company Overview

      +
      +

      Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

      +

      Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

      +
      +

      +

      Department Overview

      +

      The Fraud Product team, part of Enterprise Protect, is responsible for protecting the Bank, customers and employees by delivering and supporting strategic technology solutions to analyze, prevent, detect and resolve fraud against TD customers and critical TD technology assets.

      +

      +

      Job Description

      +
      +

      About this Role

      +

      Product Development and Delivery:

      +
        +
      • Develop products in the Prevent, Detect and Respond domains that can be integrated into all customer-facing products and services
      • +
      • Ensure end-to-end alignment and control coverage across all TD product portfolios
      • +
      • Drive alignment with Business Capabilities model
      • +
      • Derive and align OKRs with Protect Platform Business Objectives
      • +
      • Project Delivery oversight
      • +
      • Work with P&T Product Owner Practice to grow Product Owners
      • +
      • Drive development of PDR domain expertise for the Product Owners
      • +
      • Develop and drive the standards and creation of Product Roadmaps
      • +
      • Product-related training and development
      • +
      +

      Portfolio Lead:

      +
        +
      • Establish and Maintain Portfolio Roadmaps
      • +
      • Represent Business Owners in the ESC and other business forums
      • +
      • Compile and summarize Portfolio Status
      • +
      • Support Business Owners build and compile executive level presentations for Senior audience
      • +
      • Coach and mentor team members/Product Owners assigned
      • +
      • Manage Escalations & Issue Resolutions
      • +
      +

      Shared Services:

      +
        +
      • Determine and align Fraud entities – FP, Canadian Fraud Management, US Fraud Management, Threat Management, Customer Identification Authentication Management – on shared services scope
      • +
      • Drive Aligned Strategy development across Fraud entities
      • +
      • Establish common framework for:
          +
        • Fraud terminology
        • +
        • Business Capabilities
        • +
        • Mandates coordination
        • +
        • Business Planning, OKRs
        • +
        +
      • +
      • Strategic Reporting Services
      • +
      +
      +

      +

      Requirements

      +
      +What can you bring to TD?

      +

      Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

      +
        +
      • Undergraduate degree or technical certificate
      • +
      • Ten (10) or more years relevant experience
      • +
      • Advanced knowledge of business-supported applications, PDLC methodology, business testing, project management, change management and governance standards as well as current and emerging competitor and market trends
      • +
      • High level proficiency in forecasting initiatives and demanding to develop annual strategic plan in alignment with established guidelines and regulatory requirements under Privacy, Legal and Compliance
      • +
      • Expertise in managing budgets and resource allocation
      • +
      • Adroit in using analytical software tools, MS Office, data analysis methods and reporting techniques
      • +
      • Adept in working multi-functionally and communicating positively and professionally (both in speaking and writing) and establishing positive working relationships across multiple business and technology partners, programs and project managers
      • +
      • Act as a brand ambassador for your team, business area / function and TD, internally and externally
      • +
      • Technical Requirements:
      • +
      • SDLC, PMLC
      • +
      • Agile Experience
      • +
      • Program Management
      • +
      • Advance in Confluence and JIRA Tool
      • +
      • Digital transformation
      • +
      • Azure DevOps
      • +
      +
      +

      +

      Additional Information

      +
      #tdcybersecurity
      #LI-POST +
      +

      +

      Hours

      +
      37.5
      +

      +

      Inclusiveness

      +

      At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

      +

      +
      ",,https://jobs.td.com/en-CA/jobs/18588800/sr-mgr-business-application-mgmt-portfolio-lead-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-07-17T15:53:02.385Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237205998-sr-mgr-business-application-mgmt-portfolio-lead-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18588800/sr-mgr-business-application-mgmt-portfolio-lead-toronto-ca/,draft,2023-06-17T15:53:02.323Z,import-xml-feed:TD-Bank-Group---Job,,,,,,, +5013a9e7-9350-4a66-993b-9949cf751ee5,237205992,TD Bank Group,"Finance, Treasury & Enterprise Strategy Indigenous Intern/Co-op",on_site,"Toronto, ON",2023-06-17T15:53:01.925Z,"
      +

      Company Overview

      +
      +

      All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

      +

      Why TD?

      +

      TD’s Colleague Promise: A better you. A better us.

      +

      A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

      +
      +

      +

      Department Overview

      +
      +

      TD Finance, Treasury, and Enterprise Strategy are integral and trusted partners to businesses across the Bank, made-up of diverse teams with a range of strengths and capabilities contributing to TD’s overall success.

      +

      The Finance, Treasury, and Enterprise Strategy Indigenous Internship Program is intended to recognize outstanding Canadian post-secondary students (both academically and with respect to extra-curricular and / or community service), who identify as an Indigenous person (First Nations, Métis, and Inuit communities) with varying roles available.

      +

      This co-op/ intern role will include an opportunity to work in-person, virtually or hybrid, in one of the following areas:

      +
        +
      • Finance
      • +
      • Economics
      • +
      • Tax
      • +
      • Investor Relations
      • +
      • Audit
      • +
      • Enterprise Strategy
      • +
      • Sustainability and Corporate Citizenship
      • +
      • Enterprise Real Estate
      • +
      • Treasury & Balance Sheet Management
      • +
      • Strategic Sourcing
      • +
      +

      Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

      +

      Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

      +
        +
      • Leadership talks with key Leaders from across the organization
      • +
      • Lunch and Learns on topics such as Innovation
      • +
      • Diversity and Inclusion and Personal Branding and so much more
      • +
      +
      +

      +

      Job Description

      +
      +

      This opportunity will help to provide a range of experiences to help build broad business and Finance competencies. This role will not only provide you introductory experience in a professional setting, it will also equip you with skills and experiences that contribute to the completion of your studies and prepare you to build a career in your chosen discipline.

      Accountabilities may include the following:

      +
        +
      • Use your strong communication, analytical and problem-solving skills to add value
      • +
      • Prepare ad hoc analyses, forecasts, and business cases in support of business initiatives and in-depth research projects
      • +
      • Assist with business planning, fieldwork, documentation, and reporting tasks
      • +
      • Define opportunities for continued enhancements to business processes and make recommendations for process improvements
      • +
      • Participate in transformation and innovation activities to ensure TD businesses effectively and efficiently leverage data and technology to drive better sustainable business value
      • +
      • Build a diverse skill set, implement process improvements, and develop the confidence to tackle challenging tasks
      • +
      +
      +

      +

      Requirements

      +
      +Applicants must meet the following requirements:

      +
        +
      • Identify as an Indigenous person (First Nations, Métis, and Inuit communities)
      • +
      • Be enrolled in a relevant post-secondary program, focused on Finance, Accounting, Data & Analytics, from Arts/Humanities or a related business field
      • +
      • Be a Canadian citizen, permanent resident of Canada, or legally eligible to work in Canada
      • +
      • Adept at using productivity tools and end-user software (such as MS Office suite). Experience with more complex analytics tools would be an asset
      • +
      • Record of academic achievement, and demonstrated leadership with community involvement
      • +
      • Ability to quickly learn and apply new concepts
      • +
      • Ability to take initiative and balance multiple tasks. Ability to thrive in a fast-paced, changing environment.
      • +
      • Demonstrated strong judgement, decision-making and analytical capabilities
      • +
      • Strong verbal and written communication skills and ability to engage colleagues, business partners and stakeholders
      • +
      +

      Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting.

      +
      +

      +

      Additional Information

      +
      +

      At TD, we recognize there is more work to be done on our collective journey towards Truth and Reconciliation. That’s why, we’re applying our business, people and philanthropy to help create a more inclusive and sustainable tomorrow for Indigenous Peoples across Canada. We believe this is a key step forward on our journey towards Truth and Reconciliation.

      +

      We’re committed to the ongoing development and growth of colleagues, so that they can unlock their full potential and achieve their career goals. We treat colleagues with the same care, warmth and respect that we show our customers, and we know that caring colleagues and supportive leaders are what makes TD unique. To learn more, visit Indigenous talent at TD.

      +

      We work to attract and develop next generation of professionals by offering paid internships, rotational programs, and management associate programs.

      +
        +
      • As part of TD’s commitment to attract talent from Indigenous Communities, we invite all applicants from First Nations, Métis, and Inuit communities to apply for this role. Qualified applicants applying through this posting will be considered for open job vacancies, where they exist, or added to our Diversity Talent Network for other upcoming opportunities.
      • +
      • We also have a wide variety of roles available at TD and we encourage all candidates from First Nations, Métis, and Inuit communities to apply. https://jobs.td.com/en-CA/
      • +
      +

      Application Requirements

      +
        +
      • Applications must include a cover letter (one letter-sized page or less), a resume (maximum of 2 pages).
      • +
      • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
      • +
      • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
      • +
      +
      +

      +

      Start Date

      +
      – Fall
      +

      +

      Inclusiveness

      +

      At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

      +

      +
      ",,https://jobs.td.com/en-CA/jobs/17932749/finance-treasury-enterprise-strategy-indigenous-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-07-10T15:58:01.918Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237205992-finance-treasury-enterprise-strategy-indigenous-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17932749/finance-treasury-enterprise-strategy-indigenous-intern-co-op-toronto-ca/,draft,2023-06-17T15:53:01.925Z,import-xml-feed:TD-Bank-Group---Job,,,,,,, +611d8b18-4edd-4727-8cc1-2ca94f250a8b,242607509,Scotiabank,"Senior Manager Business Analysis, Capital Markets Technology",on_site,Canada : Ontario : Toronto,2023-07-03T15:52:04.429Z,"

      -

      Requisition ID: 178186

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

      +

      Requisition ID: 174869

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

      -

      Purpose of Job:

      +

      The Team
      The Global Bank & Market, Data & Analytics – Compliance Engineering team is an exciting team with the mandate to design, develop, and execute global technology strategy for the Bank. As part of the Global Equity Technology & Quantitative Trading Solutions department, the successful candidate will add value to the Equity Products, Delivery and Analytics team by supporting their technology and business analysis needs in development and support of solutions Equity Mid-Office and Trading systems.

      -
      • Ensure that market risks in the Global FX trading businesses are acknowledged, controlled and reported in accordance with Bank policies and risk appetite.
      • Work in close collaboration with the business line as a valued partner by identifying key risks and assessing market conditions.
      • Review business line proposals for new products and limit changes and make recommendations to senior management.
      • Facilitate effective communication between risk and trading management teams across various centers in which the business operates (Toronto/London/New York).
      • +

        The Role
        The incumbent will be responsible for the product roadmap for the new mid-office platform. They will lead a team comprised of development, system analysts, project management, and quality assurance in the delivery of the product roadmap. The incumbent will own the analysis leading to the definition of requirements, design, testing, project coordination and implementation processes, for Equity Products, Delivery and Analytics team, and other business lines being serviced. The incumbent, when called upon, is also responsible for participating in a variety of other projects for new systems or enhancements. The candidate will work with other technology groups and vendors, and provision of ongoing support for all users in the business lines supported.

        +

        +

        Some of the key accountabilities include:

        +

        • Manage resources and prioritizes work assignments, meet milestones. Communicate and negotiate timelines, budget, staffing, scope and critical milestones with project managers and key stakeholders.

        +

        • Identifies and documents project requirements in order to capture required outcomes and ultimately support the business’s overall objectives.

        +

        • Assist in resolving complex, multi-faceted problems to meet the system needs of various Middle Office teams, Cash Equity, DMA and Global Equity Derivatives Trading Desks and their internal and external customers, by applying your business and technological knowledge to analysis, defining user requirements, design and implementation of systems solutions. This may involve rapid prototyping, with requirements and solutions developed on an iterative basis that provides interim deliverables until a final production solution is created.

        +

        • Builds, sustains, and leverages relationships with individuals within his/her area of immediate responsibility when gathering, validating, and approving requirements to establish a comfort level in managing relationships and understanding business needs and assurance that a quality result will be delivered.

        +

        • Determines the best approach for eliciting, analyzing, validating, and prioritizing requirements to ensure that the necessary information is captured from the relevant stakeholders to address the business needs
        • Participate in the systems implementation process by defining business requirements and processes, assisting with developing test strategies and test cases, performing testing, defining user procedures and workflows, developing conversion and implementation strategies, verifying conversion, providing user documentation, providing user training, and providing post-implementation support.
        • Assist with the coordination of small projects and/or specific sections of large projects to implement solutions to business problems.
        • Provide support to other BAs, Delivery Managers in support of both the Trade Floor and Mid-Office systems. The incumbent is responsible for ensuring that management is kept informed and that problems and issues are escalated appropriately.
        • Assist with coaching other business analysts, and guiding technical staff, and users on an individual project basis.
        • Collaborates with business partners, including senior management, to define business objectives, process, and requirements. Within the context of the project, collaborates on and sometimes leads discussions with business partners to better understand the business environment, to determine potential impacts on the project scope and objectives.

        +

        +


        What You Will Bring to Succeed
        • Expert knowledge in the workflows associated with Institutional post trade processing for Equity and Derivative listed transactions their associated flow for street side and client allocation (FMC, DTC CTM) for submission into back-office book of records systems (i.e. Broadridge).
        • Experience with any/all of the following is considered necessary assets for the position: Broadridge Intact and FIX Protocol. Fidessa CTAC.
        • Understands and is familiar with the application of techniques associated with data modeling, process modeling, and user-centred design within the context of the organizational standards
        • Possesses a university degree and 5 - 7 years business analysis experience, supporting medium to large-sized projects
        • Possesses solid business understanding and knowledge of the use of technology and applications in mid-office and front office trading
        • Canadian Securities Course is desirable
        • Solid knowledge of project management and the system development life cycle/agile development process
        • Highly desirable working knowledge of DTC CTM and/or SS&C FMC, BPSA, and Fidessa CTAC.

        +

        +


        The Workplace
        • We are technology partners who help the business transform how our employees around the world work
        • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
        • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
        • We foster an environment of innovation and continuous learning
        • We care about our people, allowing them to design how they work to deliver amazing results
        • We offer a competitive total rewards package, including a performance bonus, company matching programs (on pension & profit sharing), and generous vacation

        +

        Scotiabank
        As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

        +

        +


        Is this Role not the Exact fit?
        Sign up to stay in touch; we’ll let you know when we have new positions on the team.
        #scotiatechnology

        +

        #LI-Hybrid

        +

        #CapitalMarketTech

        +

        +

        Location(s): Canada : Ontario : Toronto

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

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

      ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager-Business-Analysis%2C-Capital-Markets-Technology-ON-M5H-0B4/568547617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-17T15:57:03.994Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/242607509-senior-manager-business-analysis-capital-markets-technology-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager-Business-Analysis%2C-Capital-Markets-Technology-ON-M5H-0B4/568547617/,draft,2023-07-03T15:52:04.429Z,import-xml-feed:Scotiabank,,,,,,, +4e78070b-cdf2-43e1-aeaf-62cbf08f1669,243861191,TD Bank Group,"Global Markets Intern/Co-Op Fall 2023, General",on_site,"Toronto, ON",2023-07-06T15:53:03.853Z,"
      +

      Company Overview

      +
      +

      All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

      +

      Why TD?

      +

      TD’s Colleague Promise: A better you. A better us.

      +

      A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

      +
      +

      +

      Department Overview

      +
      +

      TD Securities offers a wide range of capital markets products and services to corporate, government, and institutional clients who choose us for our innovation, execution, and experience.

      +

      With more than 6,500 professionals operating out of 40 cities across the globe, we help clients meet their needs today and prepare for tomorrow. Our services include underwriting and distributing new issues, providing trusted advice and industry-leading insight, extending access to global markets, and delivering integrated transaction banking solutions. In 2023, we acquired Cowen Inc., offering our clients access to a premier U.S. equities business and highly-diverse equity research franchise, while growing our strong, diversified investment bank.

      +

      +

      We are growth-oriented, people-focused, and community-minded. As a team, we work to deliver value for our clients every day.

      +

      +

      Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

      +

      Our Co-op/Intern Programming is offered with select Co-op and Internship roles, and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

      +
        +
      • Leadership talks with key Leaders from across the organization
      • +
      • Lunch and Learns on topics such as Innovation
      • +
      • Diversity and Inclusion and Personal Branding and so much more
      • +
      +
      +

      +

      Job Description

      +
      +

      Principal responsibilities you’ll be entrusted with include but are not limited to:

      +
        +
      • Working closely with sales traders to support clients, assist with client requests, conduct day-to-day activities which facilitate client trading
      • +
      • Allocate client trades to the proper accounts
      • +
      • Conduct research and obtain market data through Bloomberg, Trading systems, and internal databases
      • +
      • Maintain the group’s online, client-facing, web portal
      • +
      • Design and implement front-office solutions to optimize trading operations
      • +
      • Assist in multiple marketplace modeling and ad-hoc quantitative research
      • +
      • Coordinate with various groups (middle office, back office, technology, clients) in resolving technical and settlement issues in trading operations
      • +
      • Contribute towards the development of marketplace modeling and ad-hoc quantitative research
      • +
      +
      +

      +

      Requirements

      +
      +
        +
      • Have a combination of strong financial/analytical skills, excellent communication abilities and be adept at financial modeling and valuation; and,
      • +
      • Ability to work effectively in a team environment.
      • +
      • Strong communication skills are mandatory as the job requires you to speak directly with clients.
        Ability to communicate and work effectively with others (both with internal and external stakeholders)
      • +
      • Highly-motivated, detail-oriented, and able to work independently in a proactive manner
      • +
      • Able to work in a fast-paced environment
      • +
      • Strong attention to detail is a MUST
      • +
      • Experience with Python, SQL, VBA and Bloomberg is a plus (requirement of these skills vary by desks)
      • +
      +

      Assigned Line of Business Requirements

      +

      Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting

      +
      +

      +

      Additional Information

      +
      +

      Early Talent Requirements

      +

      +
        +
      • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
      • +
      • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
      • +
      • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements.
      • +
      +
      +

      +

      Start Date

      +
      – Fall
      +

      +

      Inclusiveness

      +

      At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

      +

      +
      ",,https://jobs.td.com/en-CA/jobs/18697650/global-markets-intern-co-op-fall-2023-general-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-07-17T15:58:03.113Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/243861191-global-markets-intern-co-op-fall-2023-general-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18697650/global-markets-intern-co-op-fall-2023-general-toronto-ca/,draft,2023-07-06T15:53:03.853Z,import-xml-feed:TD-Bank-Group---Job,,,,,,, +cb24cf99-ab9d-451e-a431-28c022b3a049,243954763,CIBC,"Sr. Consultant, Application Development",on_site,"Ontario, Canada",2023-07-07T01:41:02.780Z,"
      +

      We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

      +

      +

      At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

      +

      +

      To learn more about CIBC, please visit CIBC.com

      +

      +

      Job Description

      +

      +

      What you\'ll be doing

      +

      You’ll be joining CIBC’s CIBC Asset Management (CAM) Technology Group within Wealth Management Technology. You’ll be at the heart of CIBC’s digital transformation, successfully delivering complex, enterprise-scale Azure projects involving multiple back-end systems. As an Senior Application Development Consultant, you will design, build, implement and maintain easy, flexible, agile solutions that enhance the client experience across multiple technologies including cloud. You’ll be part of the planning and strategy for the technical design, development and integration of these applications. The successful candidate for this role will be required to provide support after hours/weekends. This role will function in a hybrid work environment.

      +

      +

      How you\'ll succeed

      +
        +
      • +Design and development - Perform and coordinate complicated application programming activities. Lead the design and development of cost-effective and innovative solutions
      • +
      • +Strategic planning - Develop multi-year technology roadmaps that align with the bank’s vision, strategy, and business goals. Lead multiple complicated projects involving backend systems, new technology, and the enhancement of existing applications.
      • +
      • +Leadership skills - Act as the development team lead and run code-review sessions with the wider team to ensure the project is on track to meet goals. Support and mentor intermediate and senior developers by sharing knowledge, collaborating and problem solving.
      • +
      +

      +

      Who you are

      +
        +
      • +You embrace and advocate change. You\'ll continuously evolve your thinking and the way you work in order to deliver your best.
      • +
      • +Your influence makes a difference. You know that relationships and networks are essential to success. You inspire outcomes by sharing your expertise.
      • +
      • +You’re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
      • +
      • +You\'re motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.
      • +
      • +You can demonstrate experience in: Technical skills and experiences including: Azure Synapse architect design with DB objects and data security setup
      • +
      • Azure Synapse SQL development. Azure Data Factory
      • +
      • Azure App service plan – API and Web apps
      • +
      • C#.net API/Web app development and Azure DevOps
      • +
      • Modeling data for user consumption with UI tools such as Power BI
      • +
      • Ability to coach Azure developers
      • +
      • Proven experience on design and deploy data platforms within the Cloud adoption framework for data landing zones.
      • +
      • Perform requirements analysis, design, and prototyping for data solutions.
      • +
      • Provide oversight and guidance to platform, data, BI and development team.
      • +
      • Development, review, and revision of best practices for technical implementation and development and communication to supporting delivery resources.
      • +
      • Familiarity with DevOps tools like Azure DevOps and Business Intelligence tools such as Power BI, Tableau .
      • +
      • Communicate efficiently and with deep technical knowledge regarding concepts and best practices of the end-to-end data platform and architecture.
      • +
      • 8+ years of relevant professional technology experience.5+ years of experience in a data transformation language like SQL.
      • +
      • 5+ years of working experience with SQL Server, data warehousing and data analytics projects and 3+ years developing, deploying, and testing data platforms in Azure or other cloud provider.
      • +
      • 2+ years of experience with version control and DevOps. 1+ years infrastructure as code development on Azure (ARM, Bicep, Blueprints).
      • +
      • Minimum of a Bachelor’s degree in Computer Science, Computer Engineering, Software Design, Software Engineering, or a related field, or equivalent alternative education, skills, and/or practical experience. +
      • +
      • +Nice to have: MS Certified: Data Engineering Associate /MS Certified: Azure Solutions Architect Expert
      • +
      • +Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.
      • +
      +

      +

      What CIBC offers

      +

      At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

      +
        +
      • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program
      • +
      • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients
      • +
      • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.
      • +
      +

      +

      What you need to know

      +
        +
      • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

      • +
      • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

      • +
      +

      +

      +

      +

      +

      +

      Job Location

      CIBC Square Banking Centre

      Employment Type

      Regular

      +

      Weekly Hours

      37.5

      Skills

      +

      Azure App Service, Azure Cloud Services, Azure ExpressRoute, Azure Kubernetes Service (AKS), Azure Policy, Azure Storage, Functional Designs, Microsoft Azure, Microsoft Azure Databases Administration, Microsoft Azure Databricks, Microsoft Azure Data Lake Store, Microsoft Azure DevOps Artifacts, Microsoft Azure DevOps Boards, Microsoft Azure DevOps Repos, Microsoft Azure DevOps Test Plans, Microsoft Azure Functions, Microsoft Azure Load Balancer, Microsoft Azure Portal, Microsoft Azure Security, Microsoft Azure Synapse Analytics, Solutions Development
      ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Consultant--Application-Development_2238606?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-07-18T01:46:01.964Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/243954763-sr-consultant-application-development-at-cibc,,draft,2023-07-07T01:41:02.780Z,import-xml-feed:CIBC-Job-Feed,,,,,,, +3fb00903-d6e0-4b84-8c7d-5529df68d706,243955760,Borealis AI,Senior Business Engagement Lead,on_site,"Ontario, Canada",2023-07-07T01:58:04.741Z,"
      +

      What\'s the opportunity?

      +

      We’re looking for a critical problem solver who’s eager to help our machine learning research team deliver competitive products for RBC. As a senior member of our Business Engagement and Strategy team reporting to the Head of GRM, you’ll be responsible for identifying exciting artificial intelligence research opportunities that will create outsized value for one of the bank’s lines of business. You’ll engage with our partners in the bank to develop strategic business plans to apply AI technologies to real-world problems, and you’ll collaborate with our product team to align business and technical stakeholders.

      +

      At Borealis AI, you’ll be joining a team that works directly with leading machine learning researchers and engineers. Our mission is to think big and go beyond what’s possible today to deliver competitive AI products. This is a rare opportunity to build the skills required to make machine learning work in the enterprise. You can find out more about our research areas at www.borealisai.com.

      +

      Your responsibilities will include:

      +
        +
      • Building and communicating strategic business plans, and collaborating with the Borealis AI research and product teams to ensure alignment, feasibility, and success;
      • +
      • Building relationships with RBC executives, subject matter experts, and technical teams;
      • +
      • Representing the business vision in the group’s product engagements and educating researchers on business needs;
      • +
      • Understanding Borealis AI research areas and creatively mapping technologies onto business problems to identify new work streams for Borealis within capital markets; and
      • +
      • Defining and documenting business requirements and collaborating with the product and research teams to establish product scopes, test technical feasibility, and resolve any business issues that arise during product development.
      • +
      +

      You’re our ideal candidate if you:

      +
        +
      • Have 8+ years of experience working at a financial or technology focused organization.
      • +
      • Were responsible for the delivery of at least one technology solution that drove material business impact;
      • +
      • Have a working knowledge of data analytics and machine learning;
      • +
      • Have experience developing relationships with senior and junior stakeholders at large enterprises;
      • +
      • Have experience developing business cases and other communications on technology projects;
      • +
      • Are a creative thinker who can develop long-term strategies as well as a stickler for detail on short-term commitments and deliverables;
      • +
      • Are excited to work with a machine learning research team on solving problems that cannot be solved with existing technology.
      • +
      +

      What’s in it for you:

      +
        +
      • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
      • +
      • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
      • +
      • Leaders who support your development through coaching and managing opportunities;
      • +
      • Ability to make a difference and lasting impact from a local-to-global scale.
      • +
      +

      About Borealis AI:

      +

      Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

      +

      Inclusion and Equal Opportunity Employment

      +

      RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

      +
      ",,https://www.borealisai.com/careers/?gh_jid=6764594002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-08-06T01:58:04.749Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/243955760-senior-business-engagement-lead-at-borealis-ai,,draft,2023-07-07T01:58:04.741Z,import-xml-feed:Borealis-AI-Job-Feed,,,,,,, +c48145f7-4e7a-48e6-a9b6-03f59ea09499,243217443,OMERS,"Director, Data Integration & Performance Platform",on_site,"Ontario, Canada",2023-07-05T02:18:03.723Z,"
      +

      +

      +

      Vision and Core Values

      +

      OMERS overall vision is to play a leadership role in the pension industry and be first of class, deliver superior services and to grow and attract investment partners. The core values are to be fair, have high integrity, respect for each other, provide superior service and work as a team.

      +

      +

      The Corporate Objectives for OMERS is to provide secure pensions for all their constituents by:

      +
        +
      • Investing to earn outstanding returns with due regard for risk

      • +
      • Partnering with like-minded investment managers

      • +
      • Providing high quality service to our members and employers

      • +
      • Delivering value for money

      • +
      • Building a culture of excellence and pride in OMERS

      • +
      +

      OMERS Operating Principles are: Financial Strength, Accountability, Member Focus, Talent and Reporting.

      +

      +

      Value Proposition

      +

      This is an opportunity to join a forward-looking leadership team to help design and lead a digital transformation that will enable OMERS Capital Markets, Total Portfolio Management, and Corporate Finance functions to deliver on our pension promise. Our team is at the early stages of defining a strategic roadmap, and the selected leader will be a key member of the team that will work with our internal partners to understand their needs and deliver outcomes, with excellence. This role joins a team on a journey, with significant future potential in a global, sophisticated, and complex enterprise.

      +

      +

      Scope of Position

      +

      Reporting to the VP, Finance Platform, Capital Markets, the Director, Data Integration & Performance Platform leads a team of business system analysts and technical analysts that support and deliver change to data management and performance measurement products, as well as our investment data warehouse, and provide data integration services across mission critical investment systems supporting OMERS Capital Markets. As the lead product manager for this scope of services, the incumbent will be responsible for understanding and delivering against department objectives, and the needs of our internal partners.

      +

      +

      This incumbent will drive strategic initiatives that will enhance the capital markets data & analytics capabilities at OMERS, and will be required to have a deep understanding of modern trends in data management, architecture, cloud infrastructure, and utilities, through continuous learning and industry engagement.

      +

      +

      Responsibilities

      +
        +
      • Lead the execution of transformation initiatives to modernize OMERS’ data management and performance measurement capabilities for Finance in support of Capital Markets.

      • +
      • Develop product strategies and roadmaps.

      • +
      • Manage the end-to-end delivery of changes to the investment data warehouse and performance applications.

      • +
      • Ensure the timely and accurate delivery of investment data, P&L and performance to internal partners. Includes assisting in the root cause analysis and resolution of data quality issues by tracing data lineage and analyzing technical processes.

      • +
      • Engage partners to identify and prioritize new features through pro-active engagement and maintenance of the product backlog.

      • +
      • Lead two layered teams, comprising of analysts to senior managers, with vision, clarity, and technical expertise, providing relevant coaching for professional development.

      • +
      • Partner with Capital Markets Finance and Data & Technology experts to deliver data integration and reporting solutions, including integrations between order and execution management, accounting, data warehouse, and performance systems.

      • +
      • Facilitate vendor governance processes to influence the product roadmap and escalate service issues.

      • +
      • Develop and institute solution design principles that are forward-thinking and optimize for efficacy, sustainability, and time to market.

      • +
      • Use metrics and feedback to improve organizational processes, implement best practices, and enhance performance, creating a culture of excellence and continuous improvement.

      • +
      • Mature change delivery processes and drive a transformation to Agile and DevOps.

      • +
      • Track and report on product roadmaps, completed work, capacity, backlog, KPIs, etc.

      • +
      • Document and maintain key processes and controls, for training, continuity, and audit purposes.

      • +
      • Develop relationships among partners by supporting a culture of transparency, collaboration, and service excellence.

      • +
      • Influence and represent the broader team’s leadership, to accomplish collective wins.

      • +
      +

      +

      Qualifications

      +
        +
      • Minimum 9 years experience in data management and analytics roles managing data warehouse platforms, including production support, change initiatives and/or large transformation programs in the Financial Services industry

      • +
      • Minimum of 5 years experience leading, managing and coaching a team with diverse skills and backgrounds, with a demonstrated history of contributing to their development and success

      • +
      • Expert knowledge of SQL and cloud enabled data management solutions

      • +
      • Expert knowledge of ETL/ELT tools and design patterns

      • +
      • Bachelor’s or Master’s Degree in a related field such as Computer Science, Engineering, Mathematics, Accounting, or Finance

      • +
      • Knowledge of the investment lifecycle and data domains for exchange traded and OTC products, including exotic instruments

      • +
      • Hands-on experience with delivering complex data assets and a proven ability to manage multiple projects

      • +
      • Experience implementing and delivering change to leading investment applications, including but not limited to Eagle, Calypso, and Charles River

      • +
      • Experience with the Azure cloud platform and/or Snowflake are nice to have

      • +
      • Excellence in all types of communication and facilitation with colleagues at all levels

      • +
      • Self-motivated with strong, proven, analytical and problem-solving skills

      • +
      • Commitment to standards of professionalism, internal controls and compliance

      • +
      • Indications that you fit our desired culture, which mixes beautiful work with smiles and laughter

      +

      +

      And you demonstrate:

      +
        +
      • High standards of business and ethical values including the ability to deal with confidential information

      • +
      • A people-first focus with a desire to develop meaningful, positive relationships across all levels of the organization

      • +
      • A teammate mentality coupled with servant leadership

      • +
      • A sense of urgency, optimism, and a desire to deliver excellence

      • +
      • A desire to drive debate, to speak candidly and to listen empathetically; and

      • +
      • Strong orientation towards strategy, change and results

      • +
      +

      +

      #LI-Hybrid

      +

      +

      +

      +

      +

      Our story:

      +

      Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

      +

      +

      OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

      +
      ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Director--Data-Integration---Performance-Platform_JR-4631?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-07-18T02:23:02.961Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/243217443-director-data-integration-performance-platform-at-omers,,draft,2023-07-05T02:18:03.723Z,import-xml-feed:Selenium-Scraper,,,,,,, +b660b899-4b4d-4130-9a6a-680690b69ec1,243217447,OMERS,Digital Product & Community Specialist,on_site,"Ontario, Canada",2023-07-05T02:18:04.090Z,"
      +

      Why join us?

      +

      +

      Are you looking to join an innovative, global real estate company who builds communities and connects people to exceptional places? If so, we would love to tell you our story.

      At Oxford, our culture is truly one of a kind. Across business lines and around the world, we embrace the complex and tackle opportunities with speed and agility. We are ambitious and humble, forward looking and service-focused. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live. We believe that what is good for the environment is good for business. Together we deliver exceptional experiences to our over 2 million daily customers.

      +

      +

      +

      +

      +

      We are looking for a highly motivated Digital Product & Community Specialist to join our team at Yorkdale Shopping Centre. Reporting to the Marketing Manager, in this role, you will support the retail team in the day-to-day operations of Yorkdale Shopping Centre providing outstanding service to our tenants and customers.

      +
      +

      +

      You will be a key member of an engaged, high-reaching team – part of a world-class, winning culture that prioritizes people development and focuses on long-term growth. We take pride in leading the industry by earning respect through every interaction, every day. We go above and beyond to protect and grow relationships by anticipating needs, being honest and considerate, and valuing tenants as genuine partners.

      +

      +

      As a member of this team, you will be responsible for building and cultivating the community of adopters for all digital products at Yorkdale Shopping Centre.

      +
      • Executing local engagement strategies aligned to KPI’s of each product

      +
      +
      +
        +
      • Collaborating with local and national colleagues to launch, on-board and off-board products as required.

      • +
      • As a member of the team, primarily responsible for on-the-ground promotion of initiatives, the Product Specialist will collaborate closely with Marketing Managers and SMBE’s to ensure that messaging, programs and metrics closely align with the strategy and marketing program built and maintained by national marketing strategies.

      • +
      +

      +

      Reporting to Property Marketing Manager, The Digital Product & Community Specialist will support the user experience across the full cycle of the customer journey for all digital platforms and provide:

      +

      +
      +
      +

      (Expertise & Ownership)

      +
        +
      • Oversee the site performance of the retail tech stack

      • +
      • Be the primary community champion and lead for digital products at Yorkdale Shopping Centre with colleagues, employees, tenants and shoppers

      • +
      • Be known as the best source of information for digital products at Yorkdale Shopping Centre

      • +
      • Host workshops and trainings promoting products and applications with centre employees, tenants and regional meetings where required

      • +
      +
      +
      +

      +

      (Collaboration)

      +
        +
      • Act as liaison with Yorkdale Shopping Centre employees, tenants, specifically content owners and early adopters/end-users

      • +
      • Manage community engagement programs and on-the-ground activities related to the promotion of new products (launch & on-board)

      • +
      • Work with marketing team on execution of community marketing efforts as outlined in the marketing plan –promotion/adoption strategies.

      • +
      +
      +
      +

      +

      (Analysis & Evaluation)

      +
        +
      • Collaborate with Data, Insights team for monthly and quarterly reporting

      • +
      • Provide actionable monthly analytics insight to ensure goals and objectives are achieved

      • +
      • Responsible for regular cadence of QC & QA for all products

      • +
      +
      +
      +
        +
      • Reporting and follow up of issues management with each digital vendor.

      • +
      • Provide feedback and execute improvements based on learned experience to product manager

      • +
      • Create, monitor and evolve product feedback loop and share findings with national digital team

      • +
      • Collaborate with key stakeholders across the business/national team/steering committee/sponsor to share learnings

      • +
      +

      +
      +
      +

      What We’re Looking For

      +
        +
      • Minimum 2 year in digital/user experience/site optimization/digital community management type role

      • +
      • Post-secondary education in Business/Commerce or Marketing, Digital Marketing

      • +
      • Exceptional interpersonal skills highlighted by excellent verbal and written communication skills

      • +
      • Excellent leadership capabilities

      • +
      +
      +
      +
        +
      • Knowledge of product feedback loop processes and project management tools

      • +
      • Excellent understanding of the evolving digital landscape and SEO best practices

      • +
      +

      +
      +

      +

      +

      +

      +

      Our story:

      +

      Oxford Properties Group (“Oxford”) is a leading global real estate investor, asset manager and business builder. It builds, buys, and grows defined real estate operating business with world-class management teams. Established in 1960, Oxford and its portfolio companies manage approximately C$87 billion of assets across four continents on behalf of their investment partners. Oxford’s owned portfolio encompasses office, logistics, retail, multifamily residential, life sciences, hotels, alternatives and credit in global gateway cities and high-growth hubs. A thematic investor with a committed source of capital, Oxford invests in properties, portfolios, development sites, debt, securities, and real estate businesses across the risk-reward spectrum. Together with its portfolio companies, Oxford is one of the world’s most active developers with over 80 projects currently underway globally across all major asset classes. Oxford is owned by OMERS, the Canadian defined benefit pension plan for Ontario\'s municipal employees.

      +

      +

      For more information on Oxford, visit www.oxfordproperties.com

      +

      +

      +

      +

      OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

      +
      ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Digital-Product---Community-Specialist_JR-5119-1?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-08-04T02:18:04.090Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217447-digital-product-community-specialist-at-omers,,draft,2023-07-05T02:18:04.090Z,import-xml-feed:Selenium-Scraper,,,,,,, +3cea6d68-05b7-4b6b-9e5f-02340bb79bb9,243217464,Clearpath,Electrical Design Co-op,on_site,"Ontario, Canada",2023-07-05T02:18:06.086Z,"

      Description

      +

      Position: Electrical Design Co-op
      Location: Kitchener, Ontario
      Division: OTTO Motors
      Co-op term: Fall 2023

      +

      About OTTO Motors, a division of Clearpath Robotics

      +

      Our mission is to create safer, more productive and fulfilling workplaces with autonomous material handling technology.

      Most recently, OTTO Motors was recognized among the top 1% of Canada’s highest-performing global private companies by Communitech….. and Fast Company’s 2023 list of Most Innovative Companies in 2023.

      +

      Our loyal customers are also the most recognizable brands in the world and trust OTTO Motors to fulfill their mission-critical material handling needs: General Electric, Toyota, Hershey, Caterpillar, Berry Global, and more. For more information about us, visit www.ottomotors.com. OTTO delivers intelligence, productivity, scalability, results and most importantly, the future.

      +

      About the Job:
      You’re excited about the role that robots will play in the future, and intrigued by the challenge of joining a young company in this high-growth market. You have skills and experience that you know can make a difference with the Clearpath team, whether we\'re looking for them or not. You are driven, view work as more than just a job, and are never satisfied with a project left half-done. You are motivated by making an impact on your workplace and you thrive on challenging and rewarding problems.

      +

      Job Responsibilities:

      +
        +
      • Assist in the Electrical design and diagnostics of self-driving platforms and attachments
      • +
      • Assist in the Electrical design and diagnostics of power distribution and motor systems
      • +
      • Assist in the Electrical design and diagnostics of battery and charging systems and interfaces
      • +
      • Low speed digital/analog circuit design
      • +
      • Cable assembly design
      • +
      • Integration and testing of prototypes into fearsome robots
      • +
      • Documentation and drawing generation
      • +
      • Physical assembly and prototyping of all the cool stuff
      • +
      +

      Additional tasks may include:

      +
        +
      • Care, feeding, and testing of new products.
      • +
      • Evaluating and documenting emerging and current manufacturing processes
      • +
      • Supporting on-site installation and commissioning of robotics equipment at Clearpath facilities
      • +
      +

      Job Requirements:

      +
        +
      • Ability to work independently with minimal supervision and manage deadlines.
      • +
      • Able to quickly grasp fundamentals of common sensors and actuators used for robotics and automation.
      • +
      • Avid self-learner.
      • +
      • Fearless in asking questions while thinking you are the only one who does not understand.
      • +
      • Enjoys documenting processes and operation plans.
      • +
      • You see block diagrams everywhere and speak the language.
      • +
      • Team player, good communicator, able to cope with sarcasm.
      • +
      +

      Bonus Points for:

      +
        +
      • Familiarity with Vesys, Altium, Linux, ROS, C++
      • +
      • Familiarity with unit testing, system-level testing, and continuous integration.
      • +
      • Past experience with building robots or other vehicles.
      • +
      • Experience with the control of mobile robots.
      • +
      • Experience having parts manufactured to your specifications.
      • +
      +

      At Clearpath, we are committed to building and supporting a culture of diversity, inclusion, and accessibility. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, veteran status, sex, sexual orientation, gender identity, and expression. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

      ",,http://jobs.jobvite.com/clearpath/job/ox8bnfwX,feed-importer@jobboard.io,,,,2023-08-04T02:18:06.086Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217464-electrical-design-co-op-at-clearpath,,draft,2023-07-05T02:18:06.086Z,import-xml-feed:Selenium-Scraper,,,,,,, +8ef876fd-1b2f-47e1-8c32-3635944d8279,243217478,Clearpath,Robot Builder,on_site,"Ontario, Canada",2023-07-05T02:18:08.049Z,"

      Description

      +

      About Clearpath Robotics Inc.

      +

      Clearpath Robotics Inc. develops the future of robotics technology through development and sale of industry-leading self-driving technology, products, and services to over 500 of the world’s most innovative brands. Proprietary hardware, software, and services are delivered through the company’s research and industrial divisions: Clearpath Robotics and OTTO™ Motors. Clearpath Robotics Inc. is an award-winning company with recent awards including Robotics Business Review Top 50 Robotics Company, Edison Award for Innovation, Business Insider Top 40 under 40, and Canada’s Top 100 Employers.

      +

      About the Job:

      +

      We are currently selling more robots than we can build! We require a handy individual to take charge of assembling a variety of different platforms and ensuring that we perpetually strive for a higher level of quality. We need a Robot Builder to take responsibility in assembling our core products along with their accessories.

      +

      You will contribute to a team dedicated to seeing a robotic platform from start to finish. Additionally, when you are not wrenchin’ down screws, you will be tasked with maintaining the organization and cleanliness of the production area.

      +

      This position requires the worker to be on site for the full daily shift. There is no opportunity to work from home.

      +

      Your primary responsibilities will be:

      +
        +
      • Electromechanical Assembly of robotic platforms
      • +
          +
        • Use of hand tools
        • +
        • Use of hoisting equipment
        • +
        • Cable installation and wire routing
        • +
        +
      • Rotating throughout different assembly stations to achieve cross-training among team members
      • +
      • Ensuring your workspace follows 5S guidelines
      • +
      • Using a computer for work instructions via VKS system
      • +
      • Production area maintenance
      • +
      • Production equipment maintenance
      • +
      • Other duties as assigned
      • +
      +

      About You:

      +

      You want to work for a small company that thinks big and dreams huge. You are driven, view work as more than just a job, and are never satisfied doing a job less than 100%. You want to be surrounded by people like you; creative, fun-loving, and passionate about their work. You are motivated by making an impact on your workplace and you thrive on challenging and rewarding problems.

      +

      Required Skills:

      +
        +
      • Experience working on manual product assembly
      • +
      • Wiring or cable installation experience preferred
      • +
      • Hands-on experience with common tools, eg, screwdriver, hammer, and electric drills.
      • +
      • Practical knowledge of Microsoft Office Excel and GSuite
      • +
      • Able to work the Day shift Hours 7am - 3pm Monday to Friday
      • +
      • Positive and professional attitude with safety mindset
      • +
      • Proven ability to work independently
      • +
      • Experience working with ERP systems is an asset.
      • +
      • Ability to follow written assembly work instructions in English
      • +
      • Comfortable with abrupt changes to project deadlines.
      • +
      • Ability to lift up to 50 lbs comfortably
      • +
      +

      Bonus points for:

      +
        +
      • Hobbies that involve working with power tools, woodworking for instance
      • +
      • Hobbies that involve assembly with hand tools, car maintenance for instance
      • +
      • Lean manufacturing experience
      • +
      • Continuous Improvement Process
      • +
      • 5S methodology
      • +
      • Previously being part of a Health & Safety Committee
      • +
      +

      What’s in it for you:

      +
        +
      • Work life balance - vacation, flexible long weekends, half-day birthdays and wellness days
      • +
      • Competitive salary and career growth opportunities
      • +
      • Comprehensive benefits for you and your family to support your health and wellness
      • +
      • Corporate discounts and Group Insurance (home and auto)
      • +
      • Free snacks to keep you energized during the shift!
      • +
      • Cool company events such as BBQs and other celebrations including occasional food trucks at the facilities
      • +
      • Growth opportunities
      • +
      • Friendly and fun co-workers!
      • +
      +

      At Clearpath, we are committed to building and supporting a culture of diversity, inclusion, and accessibility. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, veteran status, sex, sexual orientation, gender identity, and expression. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863

      ",,http://jobs.jobvite.com/clearpath/job/oa1xmfwO,feed-importer@jobboard.io,,,,2023-07-07T02:23:03.080Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217478-robot-builder-at-clearpath,,draft,2023-07-05T02:18:08.049Z,import-xml-feed:Selenium-Scraper,,,,,,, +611d8b18-4edd-4727-8cc1-2ca94f250a8b,242607509,Scotiabank,"Senior Manager Business Analysis, Capital Markets Technology",on_site,Canada : Ontario : Toronto,2023-07-03T15:52:04.429Z,"

      -

      Job Responsibilities:

      -
      • Market Risk – Oversee market risk exposures for covered businesses and convey to Senior Risk Management, Senior Trading Management and MRMPC on trading risks, trader sentiment and market conditions. Ensure adherence with Bank’s risk appetite and the business mandate. Produce and review daily risk and limit reports, and engage in discussions with the business as appropriate.
      • Partnership with Trading – Engage trading groups in a proactive manner to promote open communication between risk and trading. Escalate trading issues and work effectively with senior trading management.
      • Communication – Convey regularly with TFRM management on trading activity, trading risk profile, trader sentiment and market developments in covered businesses. Collaborate with global TFRM teams to ensure there is consistency in risk management approach. Collaborate with other Bank and GRM stakeholders to achieve common objectives.
      • Valuation – Ensure self-governing price verification is performed in accordance with policies and advise on appropriate valuation reserve adjustments in accordance with Bank’s policies. Assist in maintaining Official Rate Source Document (ORSD) for covered products. Identify risk taking activities and valuation issues through oversight of daily P&L attribution analysis.
      • Data Analytics – Participate in extracting insight from risk and market data through analytic techniques and data visualization tools (e.g. R, Python, Tableau, PowerBI).
      • New Product & Limit Adjudication – Review new product proposals and make recommendations to MRMPC on limit requests, including proposing new limits according to the Bank’s risk appetite.
      • Regulatory & Audit – Participate in external and internal audits and collaborate resolution of findings and participate in key regulatory initiatives (e.g. FRTB).
      • +

        +

        Requisition ID: 174869

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

        +

        +

        The Team
        The Global Bank & Market, Data & Analytics – Compliance Engineering team is an exciting team with the mandate to design, develop, and execute global technology strategy for the Bank. As part of the Global Equity Technology & Quantitative Trading Solutions department, the successful candidate will add value to the Equity Products, Delivery and Analytics team by supporting their technology and business analysis needs in development and support of solutions Equity Mid-Office and Trading systems.

        +

        +

        The Role
        The incumbent will be responsible for the product roadmap for the new mid-office platform. They will lead a team comprised of development, system analysts, project management, and quality assurance in the delivery of the product roadmap. The incumbent will own the analysis leading to the definition of requirements, design, testing, project coordination and implementation processes, for Equity Products, Delivery and Analytics team, and other business lines being serviced. The incumbent, when called upon, is also responsible for participating in a variety of other projects for new systems or enhancements. The candidate will work with other technology groups and vendors, and provision of ongoing support for all users in the business lines supported.

        +

        +

        Some of the key accountabilities include:

        +

        • Manage resources and prioritizes work assignments, meet milestones. Communicate and negotiate timelines, budget, staffing, scope and critical milestones with project managers and key stakeholders.

        +

        • Identifies and documents project requirements in order to capture required outcomes and ultimately support the business’s overall objectives.

        +

        • Assist in resolving complex, multi-faceted problems to meet the system needs of various Middle Office teams, Cash Equity, DMA and Global Equity Derivatives Trading Desks and their internal and external customers, by applying your business and technological knowledge to analysis, defining user requirements, design and implementation of systems solutions. This may involve rapid prototyping, with requirements and solutions developed on an iterative basis that provides interim deliverables until a final production solution is created.

        +

        • Builds, sustains, and leverages relationships with individuals within his/her area of immediate responsibility when gathering, validating, and approving requirements to establish a comfort level in managing relationships and understanding business needs and assurance that a quality result will be delivered.

        +

        • Determines the best approach for eliciting, analyzing, validating, and prioritizing requirements to ensure that the necessary information is captured from the relevant stakeholders to address the business needs
        • Participate in the systems implementation process by defining business requirements and processes, assisting with developing test strategies and test cases, performing testing, defining user procedures and workflows, developing conversion and implementation strategies, verifying conversion, providing user documentation, providing user training, and providing post-implementation support.
        • Assist with the coordination of small projects and/or specific sections of large projects to implement solutions to business problems.
        • Provide support to other BAs, Delivery Managers in support of both the Trade Floor and Mid-Office systems. The incumbent is responsible for ensuring that management is kept informed and that problems and issues are escalated appropriately.
        • Assist with coaching other business analysts, and guiding technical staff, and users on an individual project basis.
        • Collaborates with business partners, including senior management, to define business objectives, process, and requirements. Within the context of the project, collaborates on and sometimes leads discussions with business partners to better understand the business environment, to determine potential impacts on the project scope and objectives.

        +

        +


        What You Will Bring to Succeed
        • Expert knowledge in the workflows associated with Institutional post trade processing for Equity and Derivative listed transactions their associated flow for street side and client allocation (FMC, DTC CTM) for submission into back-office book of records systems (i.e. Broadridge).
        • Experience with any/all of the following is considered necessary assets for the position: Broadridge Intact and FIX Protocol. Fidessa CTAC.
        • Understands and is familiar with the application of techniques associated with data modeling, process modeling, and user-centred design within the context of the organizational standards
        • Possesses a university degree and 5 - 7 years business analysis experience, supporting medium to large-sized projects
        • Possesses solid business understanding and knowledge of the use of technology and applications in mid-office and front office trading
        • Canadian Securities Course is desirable
        • Solid knowledge of project management and the system development life cycle/agile development process
        • Highly desirable working knowledge of DTC CTM and/or SS&C FMC, BPSA, and Fidessa CTAC.

        +

        +


        The Workplace
        • We are technology partners who help the business transform how our employees around the world work
        • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
        • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
        • We foster an environment of innovation and continuous learning
        • We care about our people, allowing them to design how they work to deliver amazing results
        • We offer a competitive total rewards package, including a performance bonus, company matching programs (on pension & profit sharing), and generous vacation

        +

        Scotiabank
        As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

        +

        +


        Is this Role not the Exact fit?
        Sign up to stay in touch; we’ll let you know when we have new positions on the team.
        #scotiatechnology

        +

        #LI-Hybrid

        +

        #CapitalMarketTech

        +

        +

        Location(s): Canada : Ontario : Toronto

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

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

      ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager-Business-Analysis%2C-Capital-Markets-Technology-ON-M5H-0B4/568547617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-17T15:57:03.994Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/242607509-senior-manager-business-analysis-capital-markets-technology-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager-Business-Analysis%2C-Capital-Markets-Technology-ON-M5H-0B4/568547617/,draft,2023-07-03T15:52:04.429Z,import-xml-feed:Scotiabank,,,,,,, +4e78070b-cdf2-43e1-aeaf-62cbf08f1669,243861191,TD Bank Group,"Global Markets Intern/Co-Op Fall 2023, General",on_site,"Toronto, ON",2023-07-06T15:53:03.853Z,"
      +

      Company Overview

      +
      +

      All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

      +

      Why TD?

      +

      TD’s Colleague Promise: A better you. A better us.

      +

      A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

      +
      +

      +

      Department Overview

      +
      +

      TD Securities offers a wide range of capital markets products and services to corporate, government, and institutional clients who choose us for our innovation, execution, and experience.

      +

      With more than 6,500 professionals operating out of 40 cities across the globe, we help clients meet their needs today and prepare for tomorrow. Our services include underwriting and distributing new issues, providing trusted advice and industry-leading insight, extending access to global markets, and delivering integrated transaction banking solutions. In 2023, we acquired Cowen Inc., offering our clients access to a premier U.S. equities business and highly-diverse equity research franchise, while growing our strong, diversified investment bank.

      +

      +

      We are growth-oriented, people-focused, and community-minded. As a team, we work to deliver value for our clients every day.

      +

      +

      Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

      +

      Our Co-op/Intern Programming is offered with select Co-op and Internship roles, and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

      +
        +
      • Leadership talks with key Leaders from across the organization
      • +
      • Lunch and Learns on topics such as Innovation
      • +
      • Diversity and Inclusion and Personal Branding and so much more
      • +
      +
      +

      +

      Job Description

      +
      +

      Principal responsibilities you’ll be entrusted with include but are not limited to:

      +
        +
      • Working closely with sales traders to support clients, assist with client requests, conduct day-to-day activities which facilitate client trading
      • +
      • Allocate client trades to the proper accounts
      • +
      • Conduct research and obtain market data through Bloomberg, Trading systems, and internal databases
      • +
      • Maintain the group’s online, client-facing, web portal
      • +
      • Design and implement front-office solutions to optimize trading operations
      • +
      • Assist in multiple marketplace modeling and ad-hoc quantitative research
      • +
      • Coordinate with various groups (middle office, back office, technology, clients) in resolving technical and settlement issues in trading operations
      • +
      • Contribute towards the development of marketplace modeling and ad-hoc quantitative research
      • +
      +
      +

      +

      Requirements

      +
      +
        +
      • Have a combination of strong financial/analytical skills, excellent communication abilities and be adept at financial modeling and valuation; and,
      • +
      • Ability to work effectively in a team environment.
      • +
      • Strong communication skills are mandatory as the job requires you to speak directly with clients.
        Ability to communicate and work effectively with others (both with internal and external stakeholders)
      • +
      • Highly-motivated, detail-oriented, and able to work independently in a proactive manner
      • +
      • Able to work in a fast-paced environment
      • +
      • Strong attention to detail is a MUST
      • +
      • Experience with Python, SQL, VBA and Bloomberg is a plus (requirement of these skills vary by desks)
      • +
      +

      Assigned Line of Business Requirements

      +

      Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting

      +
      +

      +

      Additional Information

      +
      +

      Early Talent Requirements

      +

      +
        +
      • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
      • +
      • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
      • +
      • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements.
      • +
      +
      +

      +

      Start Date

      +
      – Fall
      +

      +

      Inclusiveness

      +

      At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

      +

      +
      ",,https://jobs.td.com/en-CA/jobs/18697650/global-markets-intern-co-op-fall-2023-general-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-07-17T15:58:03.113Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/243861191-global-markets-intern-co-op-fall-2023-general-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18697650/global-markets-intern-co-op-fall-2023-general-toronto-ca/,draft,2023-07-06T15:53:03.853Z,import-xml-feed:TD-Bank-Group---Job,,,,,,, +3fb00903-d6e0-4b84-8c7d-5529df68d706,243955760,Borealis AI,Senior Business Engagement Lead,on_site,"Ontario, Canada",2023-07-07T01:58:04.741Z,"
      +

      What\'s the opportunity?

      +

      We’re looking for a critical problem solver who’s eager to help our machine learning research team deliver competitive products for RBC. As a senior member of our Business Engagement and Strategy team reporting to the Head of GRM, you’ll be responsible for identifying exciting artificial intelligence research opportunities that will create outsized value for one of the bank’s lines of business. You’ll engage with our partners in the bank to develop strategic business plans to apply AI technologies to real-world problems, and you’ll collaborate with our product team to align business and technical stakeholders.

      +

      At Borealis AI, you’ll be joining a team that works directly with leading machine learning researchers and engineers. Our mission is to think big and go beyond what’s possible today to deliver competitive AI products. This is a rare opportunity to build the skills required to make machine learning work in the enterprise. You can find out more about our research areas at www.borealisai.com.

      +

      Your responsibilities will include:

      +
        +
      • Building and communicating strategic business plans, and collaborating with the Borealis AI research and product teams to ensure alignment, feasibility, and success;
      • +
      • Building relationships with RBC executives, subject matter experts, and technical teams;
      • +
      • Representing the business vision in the group’s product engagements and educating researchers on business needs;
      • +
      • Understanding Borealis AI research areas and creatively mapping technologies onto business problems to identify new work streams for Borealis within capital markets; and
      • +
      • Defining and documenting business requirements and collaborating with the product and research teams to establish product scopes, test technical feasibility, and resolve any business issues that arise during product development.
      • +
      +

      You’re our ideal candidate if you:

      +
        +
      • Have 8+ years of experience working at a financial or technology focused organization.
      • +
      • Were responsible for the delivery of at least one technology solution that drove material business impact;
      • +
      • Have a working knowledge of data analytics and machine learning;
      • +
      • Have experience developing relationships with senior and junior stakeholders at large enterprises;
      • +
      • Have experience developing business cases and other communications on technology projects;
      • +
      • Are a creative thinker who can develop long-term strategies as well as a stickler for detail on short-term commitments and deliverables;
      • +
      • Are excited to work with a machine learning research team on solving problems that cannot be solved with existing technology.
      • +
      +

      What’s in it for you:

      +
        +
      • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
      • +
      • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
      • +
      • Leaders who support your development through coaching and managing opportunities;
      • +
      • Ability to make a difference and lasting impact from a local-to-global scale.
      • +
      +

      About Borealis AI:

      +

      Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

      +

      Inclusion and Equal Opportunity Employment

      +

      RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

      +
      ",,https://www.borealisai.com/careers/?gh_jid=6764594002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-08-06T01:58:04.749Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/243955760-senior-business-engagement-lead-at-borealis-ai,,draft,2023-07-07T01:58:04.741Z,import-xml-feed:Borealis-AI-Job-Feed,,,,,,, +cb24cf99-ab9d-451e-a431-28c022b3a049,243954763,CIBC,"Sr. Consultant, Application Development",on_site,"Ontario, Canada",2023-07-07T01:41:02.780Z,"
      +

      We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

      +

      +

      At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

      +

      +

      To learn more about CIBC, please visit CIBC.com

      +

      +

      Job Description

      +

      +

      What you\'ll be doing

      +

      You’ll be joining CIBC’s CIBC Asset Management (CAM) Technology Group within Wealth Management Technology. You’ll be at the heart of CIBC’s digital transformation, successfully delivering complex, enterprise-scale Azure projects involving multiple back-end systems. As an Senior Application Development Consultant, you will design, build, implement and maintain easy, flexible, agile solutions that enhance the client experience across multiple technologies including cloud. You’ll be part of the planning and strategy for the technical design, development and integration of these applications. The successful candidate for this role will be required to provide support after hours/weekends. This role will function in a hybrid work environment.

      +

      +

      How you\'ll succeed

      +
        +
      • +Design and development - Perform and coordinate complicated application programming activities. Lead the design and development of cost-effective and innovative solutions
      • +
      • +Strategic planning - Develop multi-year technology roadmaps that align with the bank’s vision, strategy, and business goals. Lead multiple complicated projects involving backend systems, new technology, and the enhancement of existing applications.
      • +
      • +Leadership skills - Act as the development team lead and run code-review sessions with the wider team to ensure the project is on track to meet goals. Support and mentor intermediate and senior developers by sharing knowledge, collaborating and problem solving.
      • +
      +

      +

      Who you are

      +
        +
      • +You embrace and advocate change. You\'ll continuously evolve your thinking and the way you work in order to deliver your best.
      • +
      • +Your influence makes a difference. You know that relationships and networks are essential to success. You inspire outcomes by sharing your expertise.
      • +
      • +You’re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
      • +
      • +You\'re motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.
      • +
      • +You can demonstrate experience in: Technical skills and experiences including: Azure Synapse architect design with DB objects and data security setup
      • +
      • Azure Synapse SQL development. Azure Data Factory
      • +
      • Azure App service plan – API and Web apps
      • +
      • C#.net API/Web app development and Azure DevOps
      • +
      • Modeling data for user consumption with UI tools such as Power BI
      • +
      • Ability to coach Azure developers
      • +
      • Proven experience on design and deploy data platforms within the Cloud adoption framework for data landing zones.
      • +
      • Perform requirements analysis, design, and prototyping for data solutions.
      • +
      • Provide oversight and guidance to platform, data, BI and development team.
      • +
      • Development, review, and revision of best practices for technical implementation and development and communication to supporting delivery resources.
      • +
      • Familiarity with DevOps tools like Azure DevOps and Business Intelligence tools such as Power BI, Tableau .
      • +
      • Communicate efficiently and with deep technical knowledge regarding concepts and best practices of the end-to-end data platform and architecture.
      • +
      • 8+ years of relevant professional technology experience.5+ years of experience in a data transformation language like SQL.
      • +
      • 5+ years of working experience with SQL Server, data warehousing and data analytics projects and 3+ years developing, deploying, and testing data platforms in Azure or other cloud provider.
      • +
      • 2+ years of experience with version control and DevOps. 1+ years infrastructure as code development on Azure (ARM, Bicep, Blueprints).
      • +
      • Minimum of a Bachelor’s degree in Computer Science, Computer Engineering, Software Design, Software Engineering, or a related field, or equivalent alternative education, skills, and/or practical experience. +
      • +
      • +Nice to have: MS Certified: Data Engineering Associate /MS Certified: Azure Solutions Architect Expert
      • +
      • +Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.
      • +
      +

      +

      What CIBC offers

      +

      At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

      +
        +
      • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program
      • +
      • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients
      • +
      • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.
      • +
      +

      +

      What you need to know

      +
        +
      • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

      • +
      • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

      • +
      +

      +

      +

      +

      +

      +

      Job Location

      CIBC Square Banking Centre

      Employment Type

      Regular

      +

      Weekly Hours

      37.5

      Skills

      +

      Azure App Service, Azure Cloud Services, Azure ExpressRoute, Azure Kubernetes Service (AKS), Azure Policy, Azure Storage, Functional Designs, Microsoft Azure, Microsoft Azure Databases Administration, Microsoft Azure Databricks, Microsoft Azure Data Lake Store, Microsoft Azure DevOps Artifacts, Microsoft Azure DevOps Boards, Microsoft Azure DevOps Repos, Microsoft Azure DevOps Test Plans, Microsoft Azure Functions, Microsoft Azure Load Balancer, Microsoft Azure Portal, Microsoft Azure Security, Microsoft Azure Synapse Analytics, Solutions Development
      ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Consultant--Application-Development_2238606?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-07-18T01:46:01.964Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/243954763-sr-consultant-application-development-at-cibc,,draft,2023-07-07T01:41:02.780Z,import-xml-feed:CIBC-Job-Feed,,,,,,, +135a0ce1-d2b5-4c37-8f14-1a62c4a81d79,237206018,EllisDon,Infrastructure Specialist Engineer,on_site,"Mississauga, ON L4Y1M4, CAN Mississauga, ON L4Y1M4, CAN",2023-06-17T16:04:02.222Z,"

      Job Details

      Description

      +

      Connect with us LinkedIn, Instagram, Facebook, Twitter

      +

      Thinking about a change?

      +

      We recognize that the construction industry is changing at a rapid pace and we continually strive to be at the forefront. Our core values empower people to deliver great careers and develop creative solutions for complex problems on some of the most intricate projects. It doesn’t matter what your expertise and craft is – there are no boundaries. We are a group of leading professionals with a variety of expertise: engineers, investment bankers, superintendents, estimators, software engineers, accountants, lawyers, marketing and communications consultants, sustainability professionals, and project managers. As you can see, we are a diverse bunch.

      +

      In case you’re curious, here’s what the industry thinks of us and some cool things we have done.

      +

      You as an Infrastructure Specialist Engineer will:

      +
        +
      • Optimize performance of databases, networks, applications, and servers
      • +
      • Manage the host environment to ensure proper tuning and sufficient capacity (including Azure Cloud virtual machines, MS SQL Database servers, VMWare, Cisco, Citrix, SAN, directories, and blades)
      • +
      • Administer automated workflow tools, middleware application servers, and server visualization technologies (i.e., VMware, Hyper-V, Citrix)
      • +
      • Create and support virtual machines (VMs) for development teams using VMware, Azure, Citrix, AWS or GCP Cloud platforms
      • +
      • Create, apply, and enforce processes for promoting all infrastructure components from the development environment to the testing, demonstrating, and generating environments
      • +
      • Maintain reliability of systems and networks by monitoring, running tests, and troubleshooting
      • +
      • Conduct complex technical evaluation and suggest proposed physical architectures along with detailed designs
      • +
      • Ensure the smooth flow of data throughout an organization, including on-premises physical equipment, cloud-based virtual machines, and services
      • +
      +

      Is this the right role for you?

      +
        +
      • A university degree or college diploma in IT, or equivalent
      • +
      • 10 + years of F/T industry-level experience as an Infrastructure Engineer or equivalent
      • +
      • Experience in Azure Cloud Services & infrastructure, Windows domain networks, Citrix Cloud Services
      • +
      • Support Experience with Enterprise Hardware and Datacenter equipment (Servers, SAN, NAS, Network Storage and Backup) Dell, Lenovo/IBM
      • +
      • Experience in Microsoft Windows Server 2016, 2019, 2022 Installation, Setup, Upgrading and Patching, and Security
      • +
      • Able to travel two hours away from the Mississauga area once every four months
      • +
      • Problem solving/analytical skills, knowledge of analytical tools, and complex troubleshooting methods
      • +
      • Self‐motivated, able to work independently, and takes initiative
      • +
      • Outstanding attention to detail with superior time and project management skills
      • +
      • Able to multitask in a fast‐paced environment
      • +
      +

      EllisDon is proud to provide this unique career opportunity within a progressive environment with continuous learning and opportunity for growth, as well as a competitive compensation package.

      +

      Go ahead and be yourself. We'll pay you for it!

      +

      We are an equal opportunity employer. We welcome people of any age, culture, subculture, gender identity or expression, sexual orientation, nationality, ethnicity, race, size, mental or physical status, veteran status, religion, language, political opinion, working-style preference, family status, education, and socio-economic status. The EllisDon core values of Integrity and Mutual Respect welcomes everyone, at work and in the community, and our value of Mutual Accountability, means that we all have a role to play. As an EllisDon employee, this will ultimately be your commitment to Inclusive Diversity.

      +

      Accommodation for Applicants will be made during the recruitment process when requested.

      Qualifications

      Skills

      Behaviors

      :

      Motivations

      :

      Education

      Experience

      Licenses & Certifications

      ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=7a9e892c-4293-4a7e-9eae-d14526b0e3de,feed-importer@jobboard.io,,,,2023-06-19T16:09:03.008Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206018-infrastructure-specialist-engineer-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=7a9e892c-4293-4a7e-9eae-d14526b0e3de,draft,2023-06-17T16:04:02.222Z,import-xml-feed:Scrapy-Scraper,,,,,,, +e2a402dd-adc3-489d-b24f-fcd8cc6a29e0,237206024,Magna International,Automation Robotics Technician (Night Shift) 1,on_site,"Concord, ONTARIO, CA, L4K 2R2",2023-06-17T16:04:02.499Z,"
      +
      +

      HEALTH, SAFETY & ENVIRONMENTAL RESPONSIBILITIES

      +

      Ensure all safety and non-safety rules and regulations are followed. Review and adhere to division-specific health and safety, environmental, and quality standards, operating procedures, and policies. Respond and report in a timely manner to items brought to his/her attention with respect to hazards, defects or non-compliance issues. Understand and uphold the policies that prohibit workplace violence and harassment.

      +
      +
      +

      KEY JOB RESPONSIBILITIES

      +

      1. Responsible for modifying existing automation control systems as well as designing, estimating, and commissioning new automation control systems integrated with Robots based on PLC’s
      2. Implement Safety Category 4 for all required installations, presses and robotics work cells
      3. Integrate equipment with robots and various testing and monitoring instruments
      4. Troubleshoot process problems and initiative and/or participate in Continuous Improvement initiatives and quality improvements
      5. Maintain and service automated work cells; mechanical and hydraulic presses
      6. Set up and conduct predictive and preventative maintenance programs for required equipment
      7. Perform all work in good standard, respond to off duty calls, and work rotating shifts if required.
      8. Follow all work cell and/or department standardized work instructions/procedures.
      9. Ensure, with the cooperation of other Co-Ex-Tec departments and Corporate that the division achieves and maintains the highest possible Customer rating for satisfaction; strive for zero defects in all areas of the business.
      10. Ensure compliance and enforcement of Customer Specific Requirements, QMS (IATF16949), Health and Safety (ISO 45001), EMS (ISO14001), and security (PIP) requirements.
      11. Perform housekeeping duties to maintain a clean, safe, and organized work area.
      12. Promote and comply with health, safety, and environmental standards, safe operating procedures, good housekeeping practices and the observance of protective equipment requirements at all times.
      13. Attend authorized training in order to develop and/or maintain relevant job-related knowledge, techniques, skills, and/or certification.
      14. May be required to carry out job duties and responsibilities in a work environment that may include, but is not limited to, varying levels of noise and/or temperature.
      15. Perform any other reasonable duty as required or assigned by Management.

      +
      +
      +

      CORE COMPETENECIES AND SKILLS

      +

      • Proficient knowledge in PLC Programming: Allen Bradley RsLogix 500, 5000, Omron Sysmac Studio, Omron CS-Programmer, Omron NT-series Support Tool, Beckhoff, Visual Studios, Factory Talk View Studio, HMI Software (RsView Studio ME), Office, AutoCAD, Ethernet based communications and networks
      • Ability to understand advanced PLC commands and HMI usage
      • Ability to create and modify electrical drawings, process & instrumentation diagrams and schematics when required
      • Exposure with configuring communication bus architectures using Ethernet and DeviceNet
      • Experience with the design and integration of machine safety circuits, safety PLC’s and applications (ABB Jokab)
      • Relevant experience with motion control architectures preferably around Allen Bradley Kinetix and/or VFD drive systems
      • Experience with Data Tracking using Barcode Scanners or RFID
      • Must be willing to work “hands on” in the manufacturing area
      • Extensive knowledge of the Ontario Electrical Code and Electrical Circuits Confident leading automation programs and integrating robot applications
      • Experience with Fanuc, ABB, and Kuka robots an asset
      • Excellent communication skills both written and oral
      • Excellent analytical and problem solving skills
      • Willing to work overtime as per job requirements

      +
      +
      +

      EDUCATION AND PROFESSIONAL EXPERIENCE

      +

      • Degree/diploma in Electrical Engineering, or Electro-Mechanical Engineering
      • Certified Electrician, an asset
      • Minimum 3 Years of experience in Electrical / Controls Design and Programmable Logic Controllers / Human Machine Interface Programming (PLC / HMI) / Vision Systems / Robot programming and troubleshooting including debugging, testing and commissioning.
      • Strong MS Office skills

      +
      +
      +

      Additional Information

      +

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

      +
      +
      +

      Awareness. Unity. Empowerment.

      +

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

      +
      +
      ",,https://jobs.magna.com/job/Automation-Robotics-Technician-%28Night-Shift%29-1/570955117/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-06-26T16:09:01.961Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/237206024-automation-robotics-technician-night-shift-1-at-magna-international,https://jobs.magna.com/job/Automation-Robotics-Technician-%28Night-Shift%29-1/570955117/,draft,2023-06-17T16:04:02.499Z,import-xml-feed:Scrapy-Scraper,,,,,,, +5cdc1251-1ee3-40d0-9ff8-b2536c9f33bb,237206034,Magna International,Systems Engineer,on_site,"St. Thomas, ONTARIO, CA, N5P 1G6",2023-06-17T16:04:04.282Z,"
      +
      +

      Additional Information

      +

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

      +
      +
      +

      Role Summary

      +
      +

      POSITION SUMMARY:

      +

      The Systems Engineer’s role is to ensure the stability, integrity, and efficient operation of the in-house information systems that support Formet’s business functions. This is achieved by monitoring, maintaining, supporting, and optimizing all networked software and associated operating systems. The individual will apply proven communication, analytical and problem solving skills to help identify, communicate and resolve systems issues in order to maximize and continually improve Formet’s Information Systems.

      +

      RECOMMENDED QUALIFICATIONS:

      +


      • University Degree/College Diploma in a related computer science program and 4 years of recent experience in a similar position OR;
      • Minimum of 6 years recent extensive hands-on experience in a similar position.
      • Experience working in an automotive manufacturing environment is desired.
      • Strong technical background, with an emphasis on the administration of servers and networks.
      • Experience working with SAP R/3, including a solid understanding of hardware and software installation, configuring and tuning would be an asset.

      +


      BENEFITS:

      +


      • Weekly pay via direct deposit
      • Overtime (1.5x) after 44 hours worked
      • Vacation entitlement
      2 weeks of paid vacation (3 weeks after 3 years) + 3 company paid holidays + 2x ½ days = 14 days annually
      • Medical and Dental Benefits after 1 month of employment.
      • Magna will contribute an amount equal to 3% of regular earnings every week to your retirement savings (MBC program)
      • Profit sharing paid in the second quarter of every year (EEPPP Program)
      • Matched GRRSP
      • Company Paid Life Insurance and Accidental Death and Dismemberment (AD&D)
      • Safety Shoe annual allowance, prescription Safety Glasses annual allowance, Custom Molded Earplug allowance
      • Company paid uniforms (if you choose to use).
      • Company BBQ, Holiday Parties and Company Events
      • Corporate Social Responsibility Initiatives
      • Annual Employee Opinion Survey
      • Magna Service Award Program
      • Magna Scholarship Program
      • Roger’s and Bell cellphone data plan available – as low as $40/month!
      • Subsidized cafeteria
      • Educational Assistance Program
      • Jump Start Program for personal training - $300 benefit
      • Employee Discounts: new vehicles, amusement parks, etc.
      • Plant-Wide Continuous Improvement Program: 2021 bonus = $1860
      • You get to work with a FANTASTIC Team!

      +
      +
      +
      +

      Awareness. Unity. Empowerment.

      +

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

      +
      +
      ",,https://jobs.magna.com/job/Systems-Engineer/569448817/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-06-26T16:09:01.961Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/237206034-systems-engineer-at-magna-international,https://jobs.magna.com/job/Systems-Engineer/569448817/,draft,2023-06-17T16:04:04.282Z,import-xml-feed:Scrapy-Scraper,,,,,,, +9b64a801-c707-4b66-9f54-37e4f75cacf7,237205974,Scotiabank,"Senior Manager, Model Compliance, Retail & Small Business",on_site,Canada : Ontario : Toronto,2023-06-17T15:52:04.232Z,"

      +

      +

      +

      +

      Requisition ID: 177784

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

      +

      +

      The world is changing faster than ever and so are we!

      +

      +

      “Big data” fed by “complex processes” representing “massive stakes” are not just buzzwords to us; they are a genuine reflection of our daily life. Our goal is to be nothing less than The Leading Bank in The Americas that puts Customers First. Achieving this will require us to assemble and retain a Winning Team that can both design and run highly-predictive decisioning and forecasting models that accurately reflect reality. To put things in perspective, our models underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of billions of dollars safe, every single day. We are fortunate to have a world-class team of Data Scientists and Model Operations / Compliance personnel building, deploying, and governing incredible risk models. But they need your help.

      +

      +

      Unfortunately, despite what the world wants to believe sometimes, great models don’t end at the intersection of data, programming, and statistics; they only begin there. Like a child entering the world, they need parents to guide and protect them, to set and manage appropriate rules and boundaries, monitor their adherence to those, and to continuously help them make sense of the chaos and complexity of ever-changing environment. Specifically, Model Compliance is responsible for helping ensure that our Model Owners and Delivery Partners understand and adhere to federal and provincial laws, regulatory requirements, bank policies, team guidelines and our stated objective to “Do The Right Thing” in the most efficient and effective ways possible. From Strategy & Planning through Data Usage, Documentation, Implementation, Monitoring and Governance, they are the sherpas guiding the team to new modeling heights with a firm eye on ensuring that appropriate controls are in place, and being used, along the way.

      +

      +

      Admittedly, this job is not for everyone but if you love reading policies, procedures and legal briefs, think you have the skills to translate them into real-world processes & tools, enjoy meeting and working with a wide range of new stakeholders every day, want to be part of a young ambitious highly-technical team, and feel confident that you can hold them to account when necessary, we’d love to talk to you.

      +

      +

      We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles, and solutions to every problem that we face – so should you.

      +

      +

      What Are We Looking For?

      +

      We want people who get excited when a new (or simply formerly unknown) policy or procedure lands in their lap. We want people who will instantly look up and immediately want to understand every new acronym they come across. We want translators who can bridge the communication gap between regulators and data scientists. We want talented, pragmatic analytically-comfortable lawyers, policy nerds and/or risk managers interested in helping guide, manage and improve how a super-talented team of data scientists go about their work, every day. We want individuals who relish the prospect of being a cartographer, partner, aide, and police officer in the same day, and are capable of switching, seamlessly, between each role.

      +

      We want bright and energetic but disciplined minds who come armed with a bottomless sense of curiosity about everything, a passion for getting things done right the first time (and/or failing fast), the ability to prioritize, a knack for explaining complex issues in simple concise ways and a deep sense of personal and professional accountability.

      +

      +

      The ideal candidate will be a consummate team player who is equally comfortable being a:

      +
      • Compliance, Legal and/or Audit Interpreter / Specialist
      • Risk / Process Control Manager

      -

      Job Requirements:

      +

      Make an Impact
      As Canada’s only truly global bank, we offer the opportunity to work in markets and with teams you may not otherwise get exposure to. You will be a critical member of a team collaborating, on a near daily basis, with a wide range of cross-bank stakeholders and internal partners including Data Scientists, Business Line & Operations leaders, Enterprise Compliance, Audit & Risk teams, Technology & Data teams, and other internal challenge functions.

      -
      • True passion for capital markets and risk management.
      • Ability to manage projects independently while collaborating effectively with different stakeholders.
      • Excellent work ethic and communications skills with a focus on team work and suited for a fast-paced trade floor environment.
      • Strong analytical and problem solving skills with the established record of creativity and innovation.
      • Strong understanding of market risk principles related to OTC derivative products including credit exposure and mitigants, funding costs.
      • Understanding of risk measurement concepts such as VaR, stress examining, DV01 etc.
      • Proficiency at integrating and preparing large, varied datasets. Experience in the use of data analysis, reporting and visualization tools, e.g. Tableau.
      • +

        You will work, day-to-day under the direction of the Director, Model Operations & Compliance leveraging your strong stakeholder management, critical thinking and analytic approach to effectively manage department audit, compliance and risk management activities for Retail & Small Business models, data and processes.

        +

        +

        Potential deliverables / outcomes may include (but not be limited to):

        +
        • Communicate and disseminate often complex policies, standards, methods and procedures to the Retail and Small Business Models & Analytics team, to promote ongoing awareness and compliance with new and / or existing requirements.
        • Proactively engage Enterprise-wide stakeholders to ensure evolving external regulatory / legal and internal Bank policies, standards and processes are reviewed for impact and applicability to the management of Retail & Small Business forecasting and provisioning models. Support management and model owner teams in preparing action plans and required documentation.
        • Manage model related compliance activities such as issue preparation, comprehensive tracking and action plans for addressing Validation, Audit and OSFI findings. Build roadmaps for timely and accurate completion of action plans, raising and managing potential risks.
        • Manage the delivery of requirements tied to regulatory meetings, monthly / quarterly / ad-hoc based submissions, reconciliations and attestations.
        • Coordinate / complete Enterprise Risk submissions to senior risk committees, risk acceptances, etc. working in partnership with, and on behalf of, data scientists
        • Manage, maintain, and ensure the application of evolving team owned internal controls related to models and regulatory / operational processes. Align with interdependent internal control stakeholders for accurate and up-to-date control requirements.
        • Recommendations of what else “we should look into / fix” next.
        • +
        +


        Is This Role Right for You?

        +
        • You believe, first and foremost, in always doing the right thing and doing things the right way
        • You are both deeply curious and highly pragmatic
        • You relish ambitious but realistic goals and are committed to achieving them
        • You are comfortable initiating conversations and collaborating with diverse personalities
        • You are social, engaging, not afraid to ask questions and relish the opportunity to both learn and challenge how things are done in a polite and respectful way
        • You can prioritize activities to deliver the right balance of “quick wins” and enduring solutions
        • You understand and embrace the responsibility and weight that comes with the fact that your work will impact numerous high-level stakeholders
        • You look forward to sharing your ideas and insights through both high-quality effective and concise verbal & written communications
        • You are professional, motivated AND FUN. We mean it.
        • +
        +

        +

        What Do You Need to Succeed?

        +
        • Bachelor’s Degree in Business / Commerce (or equivalent field); Risk Management and / or Regulatory Compliance designation is an asset.
        • 5+ years experience in Banking, preferably within Compliance or Risk Management.
        • A thorough knowledge of risk management, control and audit disciplines.
        • Knowledge of credit risk decisioning / predictive and regulatory models and frameworks.
        • Fluent English-language verbal and written communications: the ability to distill complex and often ambiguous policies, guidelines and information, and prepare and edit high-quality documentation (Executive proposals, management reports, etc.)
        • Strong analytical, negotiation, influencing and conflict management skills.
        • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines
        • The incumbent must be efficient and flexible as work is normally conducted under tight deadlines and with conflicting/multiple priorities.
        • Excellent project management, problem solving and decision-making skills.
        • A demonstrated history of problem solving and sound judgment.
        • Refined “curiosity”, “critical thinking” and “strategic influencing” competencies.
        • Strong fundamental understanding of business analysis, requirements definition, process mapping, data mapping and financial analysis.
        • Spanish language skills are an asset.

        -

        Location(s): Canada : Ontario : Toronto

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

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

      ",,https://jobs.scotiabank.com/job/Senior-Manager%2C-Trade-Floor-Risk-Management-%28Foreign-Exchange%29/570540417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-17T15:52:05.554Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237205981-senior-manager-trade-floor-risk-management-foreign-exchange-at-scotiabank,https://jobs.scotiabank.com/job/Senior-Manager%2C-Trade-Floor-Risk-Management-%28Foreign-Exchange%29/570540417/,draft,2023-06-17T15:52:05.545Z,import-xml-feed:Scotiabank,,,,,,, +

      What’s in It for You?

      +
      • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e., true innovation), and celebrates success!
      • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
      • You’ll have fun. We do.
      • +
      +

      +

      Location(s): Canada : Ontario : Toronto

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

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

      ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Model-Compliance%2C-Retail-&-Small-Business-ON-M5H1H1/570098117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-03T15:57:04.998Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/237205974-senior-manager-model-compliance-retail-small-business-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Model-Compliance%2C-Retail-&-Small-Business-ON-M5H1H1/570098117/,draft,2023-06-17T15:52:04.232Z,import-xml-feed:Scotiabank,,,,,,, 930cb15a-23fe-4bcb-a692-5f194f8e2d1e,237205998,TD Bank Group,"Sr Mgr, Business Application Mgmt (Portfolio Lead)",on_site,"Toronto, ON",2023-06-17T15:53:02.323Z,"

      Company Overview

      @@ -1126,7 +3277,7 @@ e13ed5d6-3706-4ab6-9555-6ca868f36036,237206039,Magna International,Controls Engi

      Inclusiveness

      At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

      -
      ",,https://jobs.td.com/en-CA/jobs/17932749/finance-treasury-enterprise-strategy-indigenous-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-07-17T15:53:01.936Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237205992-finance-treasury-enterprise-strategy-indigenous-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17932749/finance-treasury-enterprise-strategy-indigenous-intern-co-op-toronto-ca/,draft,2023-06-17T15:53:01.925Z,import-xml-feed:TD-Bank-Group---Job,,,,,,, +
      ",,https://jobs.td.com/en-CA/jobs/17932749/finance-treasury-enterprise-strategy-indigenous-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-07-10T15:58:01.918Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237205992-finance-treasury-enterprise-strategy-indigenous-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17932749/finance-treasury-enterprise-strategy-indigenous-intern-co-op-toronto-ca/,draft,2023-06-17T15:53:01.925Z,import-xml-feed:TD-Bank-Group---Job,,,,,,, 89629776-ff29-4bfa-a46c-10210da43991,241425105,TD Bank Group,Data Scientist II,on_site,"Toronto, ON",2023-06-30T15:53:02.175Z,"

      Company Overview

      @@ -1181,6 +3332,162 @@ e13ed5d6-3706-4ab6-9555-6ca868f36036,237206039,Magna International,Controls Engi

      At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

      ",,https://jobs.td.com/en-CA/jobs/17931454/data-scientist-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-07-03T15:58:02.525Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/241425105-data-scientist-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17931454/data-scientist-ii-toronto-ca/,draft,2023-06-30T15:53:02.175Z,import-xml-feed:TD-Bank-Group---Job,,,,,,, +4d8ef58c-f2b6-4b76-a605-441f2f75518c,247779852,BMO Financial Group,Analyst,on_site,"Ontario, Canada",2023-07-18T01:42:02.549Z,"
      +

      Application Deadline:

      07/30/2023

      +

      +

      Address:

      100 King Street West

      +

      +

      Job Family Group:

      Data Analytics & Reporting

      +

      +

      +

      +

      Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

      +
        +
      • Builds effective relationships with internal/external stakeholders.
      • +
      • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
      • +
      • Designs, develops, and implements innovative analytical solutions.
      • +
      • Designs and produces regular and ad-hoc reports, and dashboards.
      • +
      • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
      • +
      • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
      • +
      • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
      • +
      • Analyzes data and information to provide subject-matter insights and recommendations.
      • +
      • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
      • +
      • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
      • +
      • Builds effective relationships with internal/external stakeholders.
      • +
      • Collaborates with internal and external stakeholders in order to deliver on business objectives.
      • +
      • Focus may be on a business/group.
      • +
      • Thinks creatively and proposes new solutions.
      • +
      • Exercises judgment to identify, diagnose, and solve problems within given rules.
      • +
      • Works mostly independently.
      • +
      • Broader work or accountabilities may be assigned as needed.

        Qualifications:

        +
      • +
      • Typically between 3 – 5 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
      • +
      • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Good.
      • +
      • Specialized knowledge from education and/or business experience.
      • +
      • Verbal & written communication skills - In-depth.
      • +
      • Collaboration & team skills - In-depth.
      • +
      • Analytical and problem solving skills - In-depth.
      • +
      • Influence skills - In-depth.
      • +
      +

      +

      +

      We’re here to help

      +

      +

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

      +

      +

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

      +

      +

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

      +

      +

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

      +

      +

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

      +
      ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Analyst_R230011928?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-08-17T01:42:02.560Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/247779852-analyst-at-bmo-financial-group,,draft,2023-07-18T01:42:02.549Z,import-xml-feed:BMO-Job-Feed,,,,,,, +ee9cd00b-80ed-4ef1-af58-7e158733db6e,247779853,BMO Financial Group,"Risk Reporting Analyst, Capital Markets",on_site,"Ontario, Canada",2023-07-18T01:42:02.663Z,"
      +

      Application Deadline:

      08/24/2023

      +

      +

      Address:

      250 Yonge Street

      +

      +

      Job Family Group:

      Data Analytics & Reporting

      +

      +

      If you’re looking for your next dream job, consider this one in BMO’s ERPM Risk group where every colleague helps protect and grow the bank by providing independent review and oversight of enterprise-wide risks, working together to maintain a risk management framework and fostering a strong risk culture. #ERPMDreamJobs

      +

      +

      +

      Supports the execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies. Supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance and minimizes risk.

      +

      This role will be engaged in maintaining risk models on a regular basis in order to provide up-to-date and accurate reports on risk measures.

      +
        +
      • Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

      • +
      • Designs and produces regular and ad-hoc reports, and dashboards.

      • +
      • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and / or streamlined reporting.

      • +
      • Documents and maintain operational procedures and processes relating to analytical and reporting processes.

      • +
      • Collaborates with internal and external stakeholders in order to deliver on business objectives.

      • +
      • Exercises judgment to identify, diagnose, and solve problems within given rules.

      • +
      • Works independently on a range of complex tasks, which may include unique situations.

      • +
      • Broader work or accountabilities may be assigned as needed.

      • +
      +

      +

      Qualifications :

      +
        +
      • Degree in Computer Science, Statistics, Mathematics, Finance or equivalent general business experience

      • +
      • minimum 2-3 years of related work experience, preferably in a financial institution.

      • +
      • Knowledge and experience in data preparation, data analysis, statistics and business intelligence tool sets including but not limited to Python, Power BI, SQL.

      • +
      • Knowledge of risk management metrics (eg. VaR, Stress Testing, Greeks)

      • +
      • Knowledge of industry trends and regulatory requirements for risk reporting.

      • +
      • Product knowledge for the designated business/portfolio.

      • +
      • Knowledge of risk management and trading room operations, particularly market risk.

      • +
      • Strong knowledge to write and troubleshoot Excel macros, VBA codes and other automation tools.

      • +
      • CFA/FRM designation preferred, but not required.

      • +
      +

      +

      Skills:

      +
        +
      • Verbal & written communication skills - In-depth.

      • +
      • Collaboration & team skills - In-depth.

      • +
      • Analytical and problem solving skills - In-depth.

      • +
      • Influence skills - In-depth.

      • +
      • Data driven decision making - In-depth.

      • +
      +

      +

      +

      We’re here to help

      +

      +

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

      +

      +

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

      +

      +

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

      +

      +

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

      +

      +

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

      +
      ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Risk-Reporting-Analyst--Capital-Markets-SQL_R230011632?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-08-17T01:42:02.679Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/247779853-risk-reporting-analyst-capital-markets-at-bmo-financial-group,,draft,2023-07-18T01:42:02.663Z,import-xml-feed:BMO-Job-Feed,,,,,,, +1058bbbc-c3f8-4d1e-8d5c-56e6103c1c8b,247783054,RBC,"Senior Full-Stack Developer (Angular, Java)",on_site,"Toronto, ON, Canada",2023-07-18T01:51:02.380Z,"
      +

      Come Work with Us!

      At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

      Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

      +

      Job Title

      Senior Full-Stack Developer (Angular, Java)

      +

      +

      Job Description

      +

      What will you do?

      +
        +
      • Designing and coding application programs; performing testing for developed applications.
      • +
      • Reviewing, analyzing, and modifying programming systems, including encoding, testing, debugging and installing for a large-scale system.
      • +
      • Ensuring the operating efficiency of existing application systems. Maintaining records for the documentation of systems development and revisions.
      • +
      • Conducting analyses of organizational needs and goals for the development and implementation of application systems.
      • +
      +

      +

      Must-Have:

      +
        +
      • 6+ years of experience in designing, developing, and maintaining web-based applications, architectures and frameworks (Angular and Java)
      • +
      • 3+ years of experience development with Angular, Angular JS and micro front-end technologies
      • +
      • 3+ years of experience with Java, REST API/Micro services, Spring framework, Spring Boot (2.x), JSON, MQ, Hibernate, SQL, Oracle
      • +
      • Knowledge of enterprise-level security concepts and methodologies, including SSO, SSL, APIGEE, encryption, authentication, and entitlements
      • +
      +

      +

      Nice to Have:

      +
        +
      • Experience acting as a development lead , technical specialist in development team.
      • +
      • Working knowledge on Digital Banking would be an asset.
      • +
      • Experience working on cloud native solutions and DevOps technology experience.
      • +
      • Process knowledge including different testing tools, design techniques and tools, risk assessment and quantification methodologies
      • +
      +

      +

      What’s in it for you?
      We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

      +
        +
      • A comprehensive Total Rewards Program including bonuses and flexible benefits and competitive compensation.
      • +
      • Leaders who support your development through coaching and managing opportunities
      • +
      • Work in a dynamic, collaborative, progressive, and high-performing team
      • +
      • Opportunities to do challenging work
      • +
      • This is a hybrid opportunity
      • +
      +

      #LI-Hybrid

      +

      #LI-Post

      +

      +

      +

      Job Summary

      Provides information on the detailed technical design and development of applications using existing and emerging technology platforms. Applies experience and seasoned knowledge, skills, and practices to perform a variety of assignments.

      Address:

      TORONTO, Ontario, Canada

      City:

      CAN-ON-TORONTO

      Country:

      Canada

      Work hours/week:

      37.5

      Employment Type:

      Full time

      Platform:

      Technology and Operations

      Job Type:

      Regular

      Pay Type:

      Salaried

      Posted Date:

      2023-05-25

      Application Deadline:

      2023-07-21
      +

      Inclusion and Equal Opportunity Employment

      +

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

      +
      +

      Join our Talent Community

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

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

      +
      ",,https://jobs.rbc.com/ca/en/job/R-0000060039/Senior-Full-Stack-Developer-Angular-Java,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-08-17T01:51:02.388Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/247783054-senior-full-stack-developer-angular-java-at-rbc,,draft,2023-07-18T01:51:02.380Z,import-xml-feed:RBC-Job-Feed,,,,,,, 572b4666-aa6b-4c2e-b4c7-7fc4228bcafa,236957755,Borealis AI,Infrastructure Engineer,on_site,"Ontario, Canada",2023-06-17T01:58:02.191Z,"

      What\'s the opportunity?

      We’re looking for an experienced Infrastructure Engineer who will bring focus and subject-matter expertise around AWS, on-premise deployment methods, and container frameworks. This is a unique opportunity to grow in the world of machine learning infrastructure and work with a team of passionate individuals committed to the mission of bringing ML to enterprise.

      @@ -1220,7 +3527,7 @@ e13ed5d6-3706-4ab6-9555-6ca868f36036,237206039,Magna International,Controls Engi

      Inclusion and Equal Opportunity Employment

      RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

      -
      ",,https://www.borealisai.com/careers/?gh_jid=6726453002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-07-17T01:58:02.200Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/236957755-infrastructure-engineer-at-borealis-ai,,draft,2023-06-17T01:58:02.191Z,import-xml-feed:Borealis-AI-Job-Feed,,,,,,, +
      ",,https://www.borealisai.com/careers/?gh_jid=6726453002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-07-05T02:03:04.362Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/236957755-infrastructure-engineer-at-borealis-ai,,draft,2023-06-17T01:58:02.191Z,import-xml-feed:Borealis-AI-Job-Feed,,,,,,, f0cf1fc2-8a80-412b-bc08-dab44c318d3d,236957756,Borealis AI,Administrative & Program Coordinator,on_site,"Ontario, Canada",2023-06-17T01:58:02.234Z,"

      What\'s the opportunity?

      We’re looking for an enthusiastic candidate to fill the Administrative & Program Coordinator role in our Montreal office. This role will support the day-to-day operations of the Montreal office, including coordinating events, trouble-shooting as needs arise, and providing seamless office support. This role will also provide cross-functional support on various Borealis AI-wide initiatives. As a member of the Operations team, you will be joining a group that believes in being Bold & Curious, so we are looking for someone who is creative, eager to learn, and looking to make an impact!

      @@ -1254,106 +3561,7 @@ f0cf1fc2-8a80-412b-bc08-dab44c318d3d,236957756,Borealis AI,Administrative & Prog

      Inclusion and Equal Opportunity Employment

      RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

      -
      ",,https://www.borealisai.com/careers/?gh_jid=6657922002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-07-17T01:58:02.242Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/236957756-administrative-program-coordinator-at-borealis-ai,,draft,2023-06-17T01:58:02.234Z,import-xml-feed:Borealis-AI-Job-Feed,,,,,,, -1e0c050b-ce6f-4a33-afd1-eddce38e7fa4,236959716,Sun Life Financial,Senior Data Scientist (Health),on_site,"Ontario, Canada",2023-06-17T02:15:01.662Z,"
      -

      You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

      -

      -

      -

      Job Description:

      -

      -

      Role Summary

      -

      -

      To support the vision of helping Canadians live healthier lives, Sun Life Health brings together Sun Life’s Group Benefits and Health Ecosystem businesses, including Lumino Health (an innovative platform launched in 2018). By uniting these two groups, Sun Life Health can deliver on transformative health solutions for both Clients and Canadians. If you’re passionate about improving health for Canadians, and like to take on big challenges in a supportive environment, the Data Science & Analytics (DSA) team in Sun Life Health is the right fit.

      -

      -

      The DSA team is responsible for:

      -
        -
      • Being the analytics translators to identify and deliver high-impact data science use cases

      • -
      • Building dashboards and reports to monitor progress and help extract valuable insights from vast amounts of data

      • -
      • Partnering with other Analytics/IT groups to leverage expertise of Data Engineers/Developers to explore and solve complex business problems

      • -
      • Supporting various teams within Sun Life Health to leverage best practices associated with data management and develop processes that support data driven decision making

      • -
      -

      -

      The Senior Data Scientist’s primary focus is to collaborate closely with the health product and strategy team to launch and test new ideas and solutions to generate innovation within Sun Life’s Health Ecosystem, and to identify data science use cases, create the project execution plan and to drive the project through its life cycle. As part of this life cycle, you will create/maintain data models, provide expertise in data interpretation to support strategic decision making, and leverage analytical skills to highlight trends and insights from data. You will also be responsible for feasibility study of use cases for production at scale and automation.

      -

      -

      What Will You Do?

      -
        -
      • -

        Identify potential data science/machine learning opportunities, create and execute end-to-end plan for implementation and delivery

        -
          -
        • Work closely with health product and strategy team to define use case and scope

        • -
        • Identify appropriate data sources relevant to the modeling application

        • -
        • Create data pipeline for extracting the data into AWS S3

        • -
        • Perform data preprocessing to ensure data quality

        • -
        • Apply feature engineering principles to create feature space

        • -
        • Create labels if known and appropriate to the problem at hand

        • -
        • Apply machine learning models to identify model with best performance

        • -
        • Perform cross validation and hyper parameter tuning to optimize model performance

        • -
        • Prepare model for deployment

        • -
        • Monitor deployed model for data and model drift

        • -
        -
      • -
      • Participate in the technical design, development, and testing of models/analysis and in the creation of user documentation and processes

      • -
      • Create and maintain ETL processes and automated dashboards that can be leveraged to find insights

      • -
      • Develop and present reporting solutions to key stakeholders and partners

      • -
      • Learn about business processes to analyze, interpret, and advise managers on analytical findings

      • -
      • Collaborate with stakeholders to ensure effective use of reporting and analysis, and provide support if needed

      • -
      • Understand and incorporate technology best practices with a primary focus on Tableau and Python

      • -
      • Diligently perform quality assurance and risk assessment guidelines to minimize operational, reputation, and legal risk

      • -
      -

      -

      What Do You Need To Succeed?

      -
        -
      • Coding experience preferably in Python (minimum 3 years)

      • -
      • Experience with developing machine learning, statistical and optimization models and creating/maintaining visualizations and dashboards in Tableau (minimum 2 years)

      • -
      • Experience in healthcare and familiarity with health data (1 year)

      • -
      • Familiar with data science project life cycle

      • -
      • Technical mindset with a degree in Computer Science, Statistics, Mathematics, Engineering, or other data science related fields, and 3-5 years of relevant experience. A graduate degree would be an asset, a combination of education and work experience will also be considered.

      • -
      • Strong problem solving and analytical skills

      • -
      • Demonstrated ability to produce meaningful results from data

      • -
      • Proven experience consolidating and analyzing data sources

      • -
      • Excellent written and verbal communication skills with experience in relaying complex concepts to non-technical users

      • -
      • Comfortable learning new applications quickly with minimal direction

      • -
      • Proven ability to work collaboratively within a cross functional team environment

      • -
      • Ability to succeed in a dynamic, fast-paced environment, and quickly find alternative solutions to business and data challenges

      • -
      • Attention to detail and in-depth planning, organizational and time management skills

      • -
      • Experience working with relational databases and creating data models with efficient design

      • -
      • Experience with AWS SageMaker would be an asset.

      • -
      -

      -

      Unique Requirements

      -
        -
      • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

      • -
      • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

      • -
      -

      -

      What\'s In It For You?

      -
        -
      • Competitive salary and bonus structure influenced by market range data

      • -
      • 20 days vacation per year and an innovative sabbatical program

      • -
      • Great Place to Work® Certified in Canada and the US - 2022

      • -
      • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

      • -
      • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid #LI-Remote

      • -
      • A friendly, collaborative and inclusive culture

      • -
      • Being part of our Analytics community, where we share best practices and broaden skill-sets

      • -
      • Flexible Benefits from the day you join to meet the needs of you and your family

      • -
      • Pension, stock and savings programs to help build and enhance your future financial security

      • -
      • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

      • -
      -

      -

      -

      The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

      -

      -

      Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

      -

      -

      Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

      -

      -

      At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

      -

      -

      We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

      -

      -

      Salary Range:

      74,100/74 100 - 120,800/120 800

      -

      Job Category:

      Advanced Analytics

      -

      Posting End Date:

      14/06/2023
      ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Scientist--Health-_JR00075947?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-07-17T02:15:01.671Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/236959716-senior-data-scientist-health-at-sun-life-financial,,draft,2023-06-17T02:15:01.662Z,import-xml-feed:Sunlife-Job-Feed,,,,,,, +
      ",,https://www.borealisai.com/careers/?gh_jid=6657922002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-07-05T02:03:04.362Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/236957756-administrative-program-coordinator-at-borealis-ai,,draft,2023-06-17T01:58:02.234Z,import-xml-feed:Borealis-AI-Job-Feed,,,,,,, b346d157-fd66-495b-967c-6a6e418ceec7,236957638,Google,"Software Developer Intern, BS, Summer 2024",on_site,"Toronto, ON, Canada",2023-06-17T01:54:02.941Z,"
      Google Careers is temporarily undergoing maintenance. Some actions are unavailable.
      ",,"https://careers.google.com/jobs/results/124424466764571334-software-developer-intern-bs-summer-2024/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-07-04T01:59:03.250Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/236957638-software-developer-intern-bs-summer-2024-at-google,,draft,2023-06-17T01:54:02.941Z,import-xml-feed:Google-Job-Feed,,,,,,, fe2c550d-908d-42be-9f40-a7c5328e7855,237677572,RBC,"2023 GRM, Fall Global Risk Analytics (4 Months)",on_site,"Toronto, ON, Canada",2023-06-20T01:51:03.607Z,"
      @@ -1418,7 +3626,7 @@ fe2c550d-908d-42be-9f40-a7c5328e7855,237677572,RBC,"2023 GRM, Fall Global Risk A

      Join our Talent Community

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

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

      -",,https://jobs.rbc.com/ca/en/job/R-0000057635/2023-GRM-Fall-Global-Risk-Analytics-4-Months,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-07-20T01:51:03.620Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/237677572-2023-grm-fall-global-risk-analytics-4-months-at-rbc,,draft,2023-06-20T01:51:03.607Z,import-xml-feed:RBC-Job-Feed,,,,,,, +",,https://jobs.rbc.com/ca/en/job/R-0000057635/2023-GRM-Fall-Global-Risk-Analytics-4-Months,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-07-05T01:56:04.198Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/237677572-2023-grm-fall-global-risk-analytics-4-months-at-rbc,,draft,2023-06-20T01:51:03.607Z,import-xml-feed:RBC-Job-Feed,,,,,,, afdc8292-298d-4a0c-a09d-84ccb8ec613c,239887385,Magna International,Manufacturing Technician - Teardown,on_site,"Brampton, ONTARIO, CA, L6R 0A9",2023-06-26T16:04:01.873Z,"

      Role Summary

      @@ -1458,106 +3666,1008 @@ afdc8292-298d-4a0c-a09d-84ccb8ec613c,239887385,Magna International,Manufacturing

      Awareness. Unity. Empowerment.

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

      -
      ",,https://jobs.magna.com/job/Manufacturing-Technician-Teardown/571594117/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-26T16:04:01.873Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/239887385-manufacturing-technician-teardown-at-magna-international,https://jobs.magna.com/job/Manufacturing-Technician-Teardown/571594117/,draft,2023-06-26T16:04:01.873Z,import-xml-feed:Scrapy-Scraper,,,,,,, -dc863f77-d1d4-47f3-8c40-89d7d767ee16,237206030,Magna International,Engineering Specialist - Adhesives/Sealants,on_site,"Brampton, ONTARIO, CA, L6R 0A9",2023-06-17T16:04:02.903Z,"
      -
      -

      Key Qualifications/Requirements

      -

      • Expert knowledge within an assigned area of responsibility, specifically automotive adhesives and sealers.
      • Bachelor’s Degree Chemistry or Chemical Engineering Required
      • Master’s degree in chemistry or Chemical Engineering Preferred
      • Minimum five plus (5+) years of related experience required.
      • Creativity and technical ability to initiate, direct, and control specific projects within an assigned area of expertise.
      • Knowledge of automotive body and chassis requirements
      • Excellent organizational, interpersonal, communication and problem-solving skills
      • Presentation Skills and strong report writing skills.
      • Demonstrate ability to work effectively within team environment.
      • Process and manufacturing knowledge covering forming, joining, and quality preferred.
      • Able to be flexible in hours of work in order to meet internal/external customer requirements (scheduled and non-scheduled overtime, etc.).
      • Valid passport and driver’s license.

      -
      -
      -

      Key Responsibilities

      -

      • Assist Cosma global divisions, engineering, and R&D with technical issues.
      • Communicate technical results to both internal and external technical resources.
      • Coordinate and lead communication initiatives with global divisions regarding equipment advances, new technologies, best practices, lessons learned, and process optimization.
      • Interface with OEM customers and provide single focus for engineering representation.
      • Develop new technologies to meet increasing customer requirements relative to innovation.
      • Fill pipeline of R&D projects to stay ahead of customer specifications and requirements.
      • Conceive novel approaches to new applications/products or existing issues.
      • Create RFQs for requirements necessary to carry out divisional and R&D projects in order to understand potential cost and/or benefits.
      • Troubleshoot divisional issues.
      • Provide necessary consultation required to help launch programs or manufacturing facilities.
      • Recommend alterations and enhancements to improve quality of products, systems, or procedures.
      • Responsible for keeping the organization abreast of developments in a designated area of expertise.
      • Plan training sessions, establish procedures, and document lessons learned for future use.
      • Plan and execute testing, development, DOE, and pre-production trials.
      • Prepare project progress reports and business cases showing current and potential costs for ongoing and upcoming projects.
      • Review product design for compliance with engineering principles, company standards, customer contract requirements, and related specifications in a designated area of expertise.
      • Analyze engineering results and propose product changes to determine feasibility, improvement of components and systems, and functional performance specifications.
      • Confer with engineering personnel to prepare design modifications as required to satisfy performance requirements.
      • Interpret technical specifications from OEMs.
      • Perform periodic audits of divisions or suppliers that fall within an assigned area of expertise.
      • Review supplier analytical results to aid divisions in monitoring their processes.
      • Perform additional duties as assigned.
      • Act with honesty and integrity and make ethical business choices in accordance with Magna’s Compliance Policies and Procedures.

      -
      -
      -

      Additional Information

      -
      -

      General Expectations:
      • Continuously adhere to and apply the Magna Employee’s Charter, the Magna Corporate Constitution, and the Cosma Way of Thinking in all aspects of position and interaction with others.
      • Appreciate and maintain proper level of confidentiality.
      • Understand, promote and work by Promatek’s vision statement.
      • Work in a safe, organized, effective, efficient and proactive manner.
      • Able to work overtime and weekends as required.
      • Demonstrates ability to work effectively within a team environment.

      -

      -

      Working Conditions:
      • Industrial and manufacturing environment

      -

      -

      Travel:
      • Subject to business needs as required. Some of the travel may be outside North America.

      -

      -

      Health & Safety:
      • Work in a safe, organized, effective, efficient and proactive manner.
      • Ensure all safety and non-safety plant rules and regulations are followed.
      • Ensure adherence to established quality and housekeeping standards.
      • Review and adhere to Promatek’s health & safety, environmental, operating procedures, and policies.
      • Understand and uphold the principles of Bill 168 which prohibits domestic violence, workplace violence, and workplace harassment.
      • In addition to the above, the duties include those specified under the Occupational Health & Safety Act, Sec. 28.

      +
      ",,https://jobs.magna.com/job/Manufacturing-Technician-Teardown/571594117/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-10T16:09:03.095Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/239887385-manufacturing-technician-teardown-at-magna-international,https://jobs.magna.com/job/Manufacturing-Technician-Teardown/571594117/,draft,2023-06-26T16:04:01.873Z,import-xml-feed:Scrapy-Scraper,,,,,,, +ca2b9ee0-f4d8-40cd-a108-1cc5a5d65bd1,245220826,EllisDon,Cyber Security Analyst,on_site,"Mississauga, ON L4Y1M4, CAN Mississauga, ON L4Y1M4, CAN",2023-07-10T16:04:01.882Z,"

      Job Details

      Description

      +

      Connect with us LinkedIn, Instagram, Facebook, Twitter

      +

      Do you want to build the software that builds cities? EllisDon’s construction technology team is made up of Full-Stack Developers, Data Analysts, UX Designers, Product Owners, IT Operations and we’re growing fast! Our team also includes some of the best digital modelers and BIM specialists in the industry, experts who are working with the latest tech on projects in the billions of dollars.

      +

      We are a software development studio of 140+ people, backed by one of Canada’s top construction firms, with over 70 years in the industry and completing over $5 billion of work each year. We build software that is solving real-world problems on some of Canada’s largest construction projects.

      +

      Above all, we at EllisDon work hard to deliver great careers to one another. We choose to celebrate the strength in our differences, every day. EllisDon’s commitment to Inclusive Diversity is to work together to create an environment where every employee feels safe to be their true and authentic self. Ultimately, EllisDon’s purpose is to provide people with similar values the opportunity to achieve their full potential; to deliver that opportunity for great careers to one another; and to contribute meaningfully to the community we share with others.

      +

      In case you’re curious, here’s what the industry thinks of us and some cool things we have done.

      +

      You as a Cyber Security Analyst:

      +
        +
      • Leadership in vulnerability management and remediation initiatives through administering vulnerability management tools and both implementing and coordinating remediation efforts across IT technical teams (Support, Operations and DevOps)
      • +
      • Extensive participation in event and incident investigations.
      • +
      • Perform system administration of security applications & tools, including SIEM, Vulnerability Management, NGAV / EDR, SOAR, and System Management tools. Enhance and expand centralized log management and automation within the SIEM, including the design and management of appropriate alerting, SOAR playbooks, and automated reporting.
      • +
      • Design and implement technical integrations between security applications and IT systems. Support the secure design and implementation of IT systems (servers, user devices, applications, infrastructure) and processes in collaboration with the I T technical teams
      • +
      • Identify, develop, lead, and facilitate implementation of technical initiatives and programs designed to improve the organization’s security posture.
      • +
      +

      Is this the right role for you?

      +
        +
      • Leadership in vulnerability management and remediation initiatives through administering vulnerability management tools and both implementing and coordinating remediation efforts across IT technical teams (Support, Operations and DevOps)
      • +
      • Extensive participation in event and incident investigations.
      • +
      • Perform system administration of security applications & tools, including SIEM, Vulnerability Management, NGAV / EDR, SOAR, and System Management tools. Enhance and expand centralized log management and automation within the SIEM, including the design and management of appropriate alerting, SOAR playbooks, and automated reporting.
      • +
      • Design and implement technical integrations between security applications and IT systems. Support the secure design and implementation of IT systems (servers, user devices, applications, infrastructure) and processes in collaboration with the I T technical teams
      • +
      • Identify, develop, lead, and facilitate implementation of technical initiatives and programs designed to improve the organization’s security posture.
      • +
      +

      EllisDon is proud to provide this unique career opportunity that provides continuous learning, opportunity for growth, and a competitive compensation package within an environment that is committed to inclusion and respects diversity.

      +

      Go ahead and be yourself. We'll pay you for it!

      +

      We are an equal opportunity employer. We welcome people of any age, culture, subculture, gender identity or expression, sexual orientation, nationality, ethnicity, race, size, mental or physical status, veteran status, religion, language, political opinion, working-style preference, family status, education, and socio-economic status. The EllisDon core values of Integrity and Mutual Respect welcomes everyone, at work and in the community, and our value of Mutual Accountability, means that we all have a role to play. As an EllisDon employee, this will ultimately be your commitment to Inclusive Diversity.

      +

      Accommodation for Applicants with disabilities will be made during the recruitment process when requested.

      +

      We are committed to providing a positive candidate experience and ensuring timely updates are provided to all candidates. If you haven’t already, be sure to create a profile on our Careers page here to remain up to date on the status of your application and learn about new career opportunities as they arise.

      Qualifications

      Skills

      Behaviors

      :

      Motivations

      :

      Education

      Experience

      Licenses & Certifications

      ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=f836d091-a599-4018-a428-85a6c81c38a7,feed-importer@jobboard.io,,,,2023-08-09T16:04:01.882Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/245220826-cyber-security-analyst-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=f836d091-a599-4018-a428-85a6c81c38a7,draft,2023-07-10T16:04:01.882Z,import-xml-feed:Scrapy-Scraper,,,,,,, +1b83743f-ee30-4e73-b0e9-6c0e16c73450,245220763,Scotiabank,"Director, Strategic Initiatives, Customer Office",on_site,Canada : Ontario : Toronto,2023-07-10T15:52:04.047Z,"

      -

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

      +

      +

      +

      Requisition ID: 180874

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

      +

      +

      Are you a visionary leader with a passion for driving transformative change? We are seeking a dynamic and forward-thinking Director of Strategic Initiatives to join our team! In this pivotal role, you will harness the power of data-driven insights to unlock new avenues of growth and elevate our bank's performance. Collaborating with cross-functional teams, you'll identify strategic opportunities to increase revenue, revolutionize customer retention, optimize pricing strategies, and maximize cross-selling potential.

      +

      +

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

      +

      • Spearhead customer retention initiatives, revolutionizing our approach to minimize churn and elevate customer satisfaction
      • Utilize cutting-edge analytics to uncover deep customer insights, driving the development of highly targeted retention programs aligned with our customer-centric vision
      • Uncover invaluable data-driven intelligence by calculating customer churn ratios and creating predictive models to identify attrition risks
      • Partner closely with our VP of Customer Office to execute our dynamic short- and medium-term customer strategy, propelling profitability, fostering lasting customer relationships, and delivering extraordinary customer experiences
      • Foster a culture of customer obsession within our team, igniting a passion for excellence and relentless pursuit of customer value
      • Lead strategic projects of utmost importance, leveraging advanced data analytics and collaborating with diverse stakeholders to tackle critical business challenges head-on
      • Craft a compelling vision and roadmap for the Strategic Initiatives Team, focusing on reducing churn, driving exceptional customer experiences, and fueling growth through gross renewals and net retention improvements

      +

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

      +

      Bachelor's degree in Data Analytics, Marketing, Engineering, Business, or a related field. An MBA or MSc is an asset

      +

      • Several years of management experience in the financial services sector in leadership
      • Proven expertise in data management, wielding the power of Python, R, and SQL to derive game-changing insights
      • A trailblazer in driving strategic projects, navigating complexity, and rallying diverse stakeholders toward a common vision.
      • Unwavering customer-centric mindset, with the ability to prioritize initiatives based on their potential to drive business value and create unforgettable customer experiences
      • Exceptional interpersonal and communication skills, empowering you to inspire and influence stakeholders at all levels

      +

      +

      Working Conditions:

      +


      • Embrace the flexibility of a work-from-home arrangement, allowing you to thrive in a remote work environment while collaborating virtually with your talented colleagues.
      • Expect approximately 10-25% office-based presence for planned activities defined by the Bank.

      +

      +

      Join our exceptional team and be at the forefront of our strategic initiatives, driving growth, transforming customer experiences, and shaping the future of our bank.

      +

      +

      Location(s): Canada : Ontario : Toronto

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

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

      ",,https://jobs.scotiabank.com/job/Toronto-Director%2C-Strategic-Initiatives%2C-Customer-Office-ON-M5C2V9/571948617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-09T15:52:04.054Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/245220763-director-strategic-initiatives-customer-office-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Director%2C-Strategic-Initiatives%2C-Customer-Office-ON-M5C2V9/571948617/,draft,2023-07-10T15:52:04.047Z,import-xml-feed:Scotiabank,,,,,,, +0e75e72e-62fe-462e-ba0e-84ddfed1ea3e,243217457,Avidbots,Enterprise Account Executive,on_site,"Ontario, Canada",2023-07-05T02:18:05.297Z,"
      +

      About Avidbots:

      +


      +

      At Avidbots, we believe in solving real world problems with autonomous robotics solutions. Our current product, Neo, is a fully autonomous floor scrubbing robot deployed and trusted by the world’s leading facilities and building services companies- and we aren’t stopping there! We are dedicated to continuously innovate, both on our current product and developing new solutions. Headquartered in Kitchener, ON, Canada and Chicago USA, Avidbots is a rapidly growing technology company, recognized as a Great Place to Work and one of Deloitte\'s Fast 500. Take a look at what Neo can do!

      +


      +

      About this role:

      +


      +

      Avidbots is looking to further grow our enterprise customer base by growing our strategic team of Account Executives that focus purely on our largest Enterprise prospects. This role will take the lead in developing relationships with enterprise customers. This role will work alongside a team of Enterprise Account Executives to manage the full lifecycle of our enterprise sales.

      +


      +

      We are looking for somebody who can easily build sales relationships, but may also be coming with existing enterprise relationships within our wide customer base. These customers include but are not limited to; Manufacturers, Warehousing, Logistics, and Retail.

      +


      +

      How you will make a difference:

      +


      +
        +
      • Management of complex sales cycles and contract negotiations with decision-makers and vital C-level executives.
      • +
      • Manage the end-to-end sales process of Avidbots including coordinating internal resources such as Business Development Reps, Service, Deployment and Finance.
      • +
      • Performing discovery calls, web demonstrations and customer meetings, as well as preparing customer-specific product presentations and workshops.
      • +
      • Continuous relationship building with existing customers to achieve cross-selling and upselling.
      • +
      • Using Salesforce CRM and other sales tools, you keep meticulous notes to track your engagement with prospective customers
      • +
      • Responsible for personal target compliance, reliable revenue forecasting and ownership of sales pipeline as communicated through CRM.
      • +
      • Forecast accurately to ensure we are capable of meeting manufacturing demands of large customer deals.
      • +
      +



      +

      Key requirements and experience:

      +


      +
        +
      • Bachelor’s degree in Business, Marketing or equivalent
      • +
      • 5+ years of experience working with Enterprise Sales in core verticals
      • +
      • Proven ability to sell a complex software/hardware solution
      • +
      • Extensive experience with sales cycles and the independent management of key accounts
      • +
      • Ability to work remotely and travel up to 50%
      • +
      +



      +

      Avidbots is an equal opportunity employer committed to building a diverse workforce. As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. We offer a professional working environment and culture and believe that work/ life balance is critical to ensure the happiness/well-being of our people.

      +


      +
      ",,https://avidbots.bamboohr.com/careers/674,feed-importer@jobboard.io,,,,2023-08-04T02:18:05.297Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217457-enterprise-account-executive-at-avidbots,,draft,2023-07-05T02:18:05.297Z,import-xml-feed:Selenium-Scraper,,,,,,, +9f4de5ff-33ff-4b2e-8a45-52cc1f7fdd1a,245265868,Clearpath,National Key Account Manager (Automotive),on_site,"Ontario, Canada",2023-07-11T02:18:03.138Z,"

      Description

      +

      Position: National Key Account Manager (Automotive)
      Location: Remote/Virtual-Canada
      Job Type: Full-Time Permanent
      Experience: 10+ Years of relevant work experience
      Education: Bachelor\'s degree
      Division: OTTO Motors

      About OTTO Motors, a division of Clearpath Robotics

      +

      Our mission is to create safer, more productive and fulfilling workplaces with autonomous material handling technology.

      Most recently, OTTO Motors was recognized among the top 1% of Canada’s highest-performing global private companies by Communitech and Fast Company’s 2023 list of Most Innovative Companies in 2023.

      +

      Our loyal customers are also the most recognizable brands in the world and trust OTTO Motors to fulfill their mission-critical material handling needs: General Electric, Toyota, Hershey, Caterpillar, Berry Global, and more. For more information about us, visit www.ottomotors.com. OTTO delivers intelligence, productivity, scalability, results and most importantly, the future.

      About the Job

      +

      We’re looking for a passionate, self-driven and motivated National Key Account Manager - Automotive to join our OTTO Motors Automotive Sales Team. We strive to become the ‘renaissance people’ of deal-making, with proven skills across all account functions: strategic account planning, business development, direct technical sales and account administration. This is a remote position, with 50% travel required – you will receive support from the team regardless of location.

      +

      You will:

      +
        +
      • Pursue target accounts in your territory, infiltrate those accounts at the highest decision making level and secure that business.
      • +
      • Devise key account strategies that leverage OTTO solutions and go-to-market strategy to expand OTTO within key accounts
      • +
      • Develop business relationships across the organization elevating Clearpath’s position within the executive ranks.
      • +
      • Work with key accounts to identify materials handling automation opportunities in their facilities, promote and demonstrate the OTTO solution and engage the customers in projects with compelling business cases.
      • +
      • Be responsible for pipeline growth and revenue growth in your territory.
      • +
      • Devise your personal strategy to systematically conquer your slice of the globe... and we will do everything we can to support you along the way!
      • +
      • The National Key Account Manager - Automotive reports directly to the Director of Automotive Sales. You will be paid a base salary plus commissions and benefits.
      • +
      +

      Ideal Key Account Management Characteristics:

      +

      Our next key account manager is a sharp, articulate and persuasive person, who is 100% comfortable spending their days talking to highly-technical Production Engineers, Facility Directors and VP and C Level Executives.

      +
        +
      • Coachability – ability to understand feedback and change behavior
      • +
      • Curiosity – ability and desire to ask probing questions
      • +
      • Prior Success – based on previous sales results and/or ambition
      • +
      • Intelligence – ability to become a subject matter expert
      • +
      • Emotional Intelligence – self-awareness, self-management, social awareness and relationship building with others
      • +
      • Passion – brings an intense enthusiasm to the team
      • +
      • Work Ethic – willingness to put in the extra effort to succeed
      • +
      • Preparation – technical aptitude of product and market/buyer understanding
      • +
      • Competitiveness – a drive to succeed that enables higher performance
      • +
      • Adaptability - ability to adapt and succeed in a fast-paced environment
      • +
      • Culture Fit – fit with company core values and culture
      • +
      +

      Required Skills and Experience:

      +
        +
      • University degree in a STEM, Business or related field
      • +
      • Minimum 10+ years of relevant industry experience in a variety of technical roles including Applications Engineering, Project/Program Management and Technical Sales
      • +
      • Proven success in Business Development, Direct Sales and/or Key Account Management
      • +
      • Experience selling to mid market and enterprise organizations
      • +
      • Experience with CRM products such as Salesforce.com is an asset
      • +
      • Excellent communication skills, and the ability to deliver compelling presentations to prospects, customers, and partners.
      • +
      • Strategic thinker who is also hands-on to get results
      • +
      • Ability to travel to customers 25-50% of the time.
      • +
      +

      What’s in it for you:

      +
        +
      • Work-life balance - vacation, flexible long weekends, half-day birthdays and wellness days
      • +
      • Flexibility in when you work, core hours are 10am-3pm EST
      • +
      • Competitive salary and career growth opportunities
      • +
      • Comprehensive benefits for you and your family to support your health and wellness
      • +
      • Opportunity to make a difference with the world’s deadliest, dirtiest and dangerous jobs
      • +
      • Amazing co-workers to laugh and have fun
      • +
      +At Clearpath, we are committed to building and supporting a culture of diversity, inclusion, and accessibility. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, veteran status, sexual orientation, gender identity, and expression. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

      ",,http://jobs.jobvite.com/clearpath/job/oDRHnfwi,feed-importer@jobboard.io,,,,2023-08-10T02:18:03.138Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/245265868-national-key-account-manager-automotive-at-clearpath,,draft,2023-07-11T02:18:03.138Z,import-xml-feed:Selenium-Scraper,,,,,,, +e13ed5d6-3706-4ab6-9555-6ca868f36036,237206039,Magna International,Controls Engineer,on_site,"Milton, ONTARIO, CA, L9T 4Z7",2023-06-17T16:04:04.983Z,"
      +
      +

      Role Summary

      +

      The Controls Engineer is primarily responsible for researching, developing, designing and testing electronic components products and systems. The Controls Engineer will develop and improve manufacturing control systems and oversee documentation on program changes.

      +
      +
      +

      Key Responsibilities

      +
      1. Maintain safety standards of equipment and work area and perform all duties in a safe manner in accordance with the safety policies of Karmax.
      2. Perform all duties in a safe manner in accordance with Section 28 of the Occupational Health & Safety Act and Regulations for Industrial Establishments. Definitions: “Worker” means a person who performs work or supplies services for monetary compensation but does not include an inmate of a correctional institution or like institution or facility who participate inside the institution or facility in a work project or rehabilitation program.
      3. Follow Magna’s Code of Conduct and Ethics and related compliance policies.
      4. Assembles and installs new equipment and machines and is able to make modifications to existing equipment as requested.
      5. Carries out preventative maintenance procedures on mechanical equipment as laid out by the manufacturer’s specifications.
      6. Assists in developing and/or updating Preventive Maintenance procedures.
      7. Perform all duties in an environmentally responsible manner in accordance with the Karmax Environmental Policy Statement—3 P’s. Prevent Pollution, Preserve Natural Resources & Protect our Environment
      8. Perform other duties as required.
      9. +
      +
      +
      +

      Key Qualifications/Requirements

      +
      • University Degree in Electrical/Controls Engineering
      • Strong knowledge of PLCs and Controls
      • 5 Year Minimum Experience working with Siemens
      • Excellent written and verbal communication skills
      • Excellent mathematical, analytical and organizational skills
      • Microsoft Office, VB, AutoCAD
      • Able to safely operate all Material Handling Equipment (Scissor/Boom Lifts, crane, buggy) in assigned area of responsibility.
      • Must be able to work with and communicate effectively with other employees, supervisors and trades
      • +
      +
      +
      +

      Additional Information

      +
      +

      WORK ENVIRONMENT

      +
      • Must be able to work in various locations within and outside the Manufacturing Plant
      • Must be able to work outside of normal office hours to meet needs of department with a Minimum amount of Supervision
      • Lifting up to 20 kgs
      • Exposed regularly to elements such as temperature and noise
      • Must be comfortable working at heights and within confined spaces.
      • +

      Awareness. Unity. Empowerment.

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

      -
      ",,https://jobs.magna.com/job/Engineering-Specialist-AdhesivesSealants/570815917/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-17T16:04:02.903Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206030-engineering-specialist-adhesives-sealants-at-magna-international,https://jobs.magna.com/job/Engineering-Specialist-AdhesivesSealants/570815917/,draft,2023-06-17T16:04:02.903Z,import-xml-feed:Scrapy-Scraper,,,,,,, -49b5534e-fb9d-4b67-ad34-c07d56fe2a28,242608265,Magna International,"Senior Category Manager, Services",on_site,"Aurora, ONTARIO, CA, L4G 0G9",2023-07-03T16:04:03.128Z,"
      +
      ",,https://jobs.magna.com/job/Milton-Controls-Engineer-ONTA-L9T-4Z7/572110317/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-17T16:04:04.983Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/237206039-controls-engineer-at-magna-international,https://jobs.magna.com/job/Milton-Controls-Engineer-ONTA-L9T-4Z7/572110317/,draft,2023-06-17T16:04:04.983Z,import-xml-feed:Scrapy-Scraper,,,,,,, +a2b25304-2818-40c2-949b-b2ead4f7cbad,243217489,TELUS,Senior Data Engineer,on_site,"Ontario, Canada",2023-07-05T02:18:09.462Z,"
      -

      Role Summary

      +

      Description

      -

      The Senior Category Manager position is responsible for developing and implementing the regional supply base strategies for divisions in North America, ensuring that the strategy is specific, fact-based, comprehensive, consistent, well-communicated and delivers superior financial returns and a competitive advantage to the business. In addition, the Sr. Category Manager ensures that the strategy developed is dynamic and responsive to the market, customer, supplier, and company needs. This individual has primary responsibility for the supplier relationship and drives supplier selection, development, and overall supplier management. The Senior Category Manager works with the Corporate Functional Teams and Group Purchasing Leads to ensure a shared vision and alignment with overall business objectives.

      +

      Our team and what we’ll accomplish together

      +

      +

      Are you obsessed with data and identifying ways to harness and scale data intelligence across an entire organization? Do you love collaborating with fellow data professionals to develop innovative data solutions that lead to positive business outcomes? If your answer is yes, we would be delighted to have you onboard TELUS’ Data Strategy & Enablement team to provide vision and strategic guidance, while driving flawless execution on the development and evolution of large-scale machine learning environments.

      +

      +

      You’ll be part of a multidisciplinary team of data wizards who are capitalizing on analytics and insights to deliver exceptional products and services for our customers. In turn, we hope you’ll enjoy being a valued member of Canada’s #1 global workplace with a world-leading culture featuring extensive community-giving initiatives, flexible work environment including remote work, award-winning opportunities for career development, and a competitive compensation and benefits package.

      +

      +

      As a technology company, data is central to our mission to create better outcomes for our customers, especially as we strive to deliver next-generation networks like 5G; unlock the full potential of the Internet of Everything to power smart homes, businesses, industry, healthcare and cities; and deliver an incredible customer experience. Our Data Strategy & Enablement team is at the helm of building world-class data solutions by delivering data analytics capabilities built upon unified scalable platforms, advanced Augmented Intelligence (AI) tooling, high-quality data, and a data product and platform-oriented culture. At the same time, this team remains passionate champions of reliability, security and privacy by design, and is committed to creating the utmost level of privacy and security protections for all data on our networks and systems.

      +

      +

      You’ll provide vision and strategic guidance to evolve from common static analysis to dynamic machine learning deployments, as well as expand our teams’ access to deep insights that improve the customer experience. You’ll work with a talented team of Data Scientists and other professionals to manage TELUS’ data platforms and offer the best possible analytics experience to internal stakeholders using the data. And finally, as a trusted advisor and partner, you’ll collaborate across various business units to accelerate the transformation of our platforms, improve the customer and team member experience, and drive business efficiencies.

      -

      This role will be involved, to varying degrees, with all aspects of the strategic sourcing process, including project planning, specifications development, supply market research and supplier engagement, evaluation, selection, and new supplier implementation. Leads strategic sourcing activities for assigned sub-categories of spend, capturing savings through purchasing volume, leveraging, and negotiating price, working capital, and TCO contracts with suppliers in support of company goals and objectives.

      +

      What you’ll do

      +

      +
        +
      • Build and maintain scalable data infrastructure that offers a best-in-class experience for internal stakeholders including consistent extraction of value from the data
      • +
      • Drive data ingestion and processing in innovative ways that inform strategic priorities and decision-making across the organization
      • +
      • Foster continuous systems transformation as we migrate infrastructure and applications to Google Cloud Platform (GCP)
      • +
      • Build expertise in the team to expose efficiency insights across data platforms in the cloud
      • +
      • Manage our cloud data analytics platform priorities to make sure data security and privacy are top considerations
      • +
      • Implement automation and monitoring tools through a test-driven approach and mindset
      • +
      • Drive the adoption of new cloud technologies to further advance TELUS’ data transformation strategy
      • +

      -

      The ideal candidate must be comfortable working independently and/or in a team environment.

      +

      #DSEjobs

      -

      Key Responsibilities

      +

      Qualifications

      -
      • Develops procurement and sourcing strategies for Magna divisions in Canada, US and Mexico in terms of quality, delivery, service, and total cost for certain Services categories; Services categories will include professional services, such as HR services, Marketing, Communication, Finance, Engineering, Travel services as well as Facilities, Maintenance and Technical Services.
      • Gathers, reviews and analyze business and industry data including details on spend and other key metrics to evaluate options and opportunities for the business
      • Provides fact-based understanding of bottom-line benefit of all decisions and opportunities
      • Develops expertise in assigned spend categories
      • Develops cost and scenario analysis, cost breakdowns and benchmark, including evaluation of cost drivers to support negotiation strategies to reach best cost and optimal terms, while at the same time assessing and mitigating risks.
      • Leads cross-functional teams in design and execution of category sourcing strategies
      • Initiates/leads/participates in annual cost reduction and other value improvement projects.
      • Coordinates all supplier issues with applicable functional organizations.
      • Performs financial analysis and business case justification for project opportunities to present to senior leadership.
      • Establishes bid standards and prepares procurement documents to solicit bids and contracts for the purchase and procurement of services, conducts and manages the process for the evaluations of proposals, offers and bids.
      • Leads, manages, and negotiates contracts and supply agreements in support of overall goals and objectives.
      • Leads internal reviews of contracts with required functional areas such as Legal, Finance, etc.
      • Establishes and manages key supplier performance goals and objectives; communicates periodic results to plan and manage top-level continuous improvement; develops keen awareness of industry performance benchmarks.
      • Keeps abreast of professional developments and manufacturing techniques.
      • Coordinates with divisions and new products buying functions to integrate common suppliers/technology.
      • Maintains continuous in-depth knowledge of industry trends, market conditions, and developing techniques.
      • Will initiate, recommend, or provide solutions through designated channels.
      • Ensures compliance of internal controls as it relates to company policies and procedures
      • Performs other related duties as assigned.
      • +

        What you bring

        +

        +
          +
        • You are recognized for your 8+ years of experience of IT platform implementation in a technical capacity
        • +
        • You are sought out for your 5+ years’ experience of data warehouses/cloud architectures and platforms implementation with experience implementing and performance tuning
        • +
        • An expert understanding of data warehouses/cloud architectures and ETL processes
        • +
        • Advanced working SQL knowledge and experience working with relational databases and query authoring (SQL), as well as working familiarity with a variety of databases
        • +
        • Experience with cloud platforms: GCP, Amazon or Azure (GCP gives you an edge!)
        • +
        • Experience with Python and software engineering best practices
        • +
        • Advanced knowledge in Dataflow, Spark and Kafka, as well as other data pipeline components
        • +
        • Experience with data pipeline and workflow management tools such as Airflow
        • +
        • Experience with Github and CICD processes
        • +
        • Having a proven track record in leading data analytics platform projects
        • +
        • Ready to work in new and challenging work environments
        • +
        • Getting excited by the opportunity to build a team\'s capabilities to create value and innovate through data, and doing so in an agile manner with a bias for action and speed
        • +
        • Envisioning and delivering future technical roadmaps while inspiring others along the way
        • +
        • Being a senior strategist and mentor who is sought out when it comes to analyzing and translating technicalities into business implications
        • +
        • Working in cross-functional teams with exemplary communication and coordination skills
        • +
        • Proving your analytical skills with root cause analysis of issues
        • +
        • Demonstrating resilience, a questioning mindset, and strong observation skills and curiosity – you never settle for the status quo
        • +
        • Caring passionately about your stakeholders and providing them with the data and insights they need to deliver on their customer and business outcomes
        • +
        +

        +

        Great-to-haves

        +

        +
          +
        • Post-graduate education in Data Engineering, Cloud DevOps or Advanced Analytics
        • +
        • Machine learning and data science knowledge
        • +
        • Experience with Java in Cloud
        +

        +

        #DESjobs

      +
      ",,https://careers.telus.com/job/Toronto-Senior-Data-Engineer-ON/571425217/,feed-importer@jobboard.io,,,,2023-08-04T02:18:09.462Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217489-senior-data-engineer-at-telus,,draft,2023-07-05T02:18:09.462Z,import-xml-feed:Selenium-Scraper,,,,,,, +06f1033b-6937-4007-9764-4ab62f941832,243217491,TELUS,Senior Technical Product Manager - SmartHome Platform Access Management,on_site,"Ontario, Canada",2023-07-05T02:18:09.649Z,"
      -

      Key Qualifications/Requirements

      +

      -

      Knowledge and Education

      +

      Our team and what we’ll accomplish together:

      We’re a Platform Product Management team on a mission to build an innovative platform that empowers companies globally to simplify, unify, and transform the smart living experience for their customers. We focus on enabling our Platform as a Service (PaaS) customers to offer differentiated SmartHome products and rapidly scale in their market. Your expertise in platform product management and deep understanding of the smart home market will play a critical role in shaping the future of smart living globally.

      +

      +

      Press Release: Redefining the connected home

      +


      What you’ll do:

      Our Platform puts personalization, customization and security at the heart of everything we do for SmartHome users and Platform as a Service customers globally. Your thought leadership will empower our Global Platform Customers to create unique service offerings that are tailored to their market with your Entitlements service. You will lead the design and development of our Profiles service so that the product experience is customized to meet the needs of different types of users from homeowners, neighbors & building managers, to customer service representatives, or administrators.

      -
      • MBA preferred, Bachelor’s Degree required, preferably in Purchasing, Supply Chain, Finance, Business, or Engineering.
      • Business finance training is desired.
      • Highly Capable in Microsoft Excel, PowerPoint, and ability to support and lead data analytics
      • Excellent communication, project management, and relationship building skills
      • Strong organizational and presentation skills
      • +

        As Product Manager you will create and manage the roadmap for our platform’s entitlement, profile and notification services. As part of an agile development program you will bring new features and capabilities to market by developing internal and external relationships that help drive detailed requirements and prioritizing the backlog for your development squad.

        Here’s how:

        +

        +
          +
        • Develop our approach to entitlements, profiles and notifications in alignment with the overall vision, goals, and opportunities
        • +
        • Collaborate with business and product design stakeholders to define requirements, roadmap, and priorities
        • +
        • Partner closely with your squads from ideation and conceptualization to launch and post-launch optimization, ensuring timely delivery of high-quality platform services
        • +
        • Collaborate with engineering teams to translate platform requirements into technical specifications, ensuring the delivery of scalable, secure, and reliable PaaS solutions
        • +
        • Drive innovation and differentiation by identifying emerging trends, technologies, and market opportunities in the AI/ML, SmartHome and PaaS space
        • +
        • Define and monitor key performance indicators (KPIs) to evaluate the success and impact of your portfolio, making data-driven recommendations for continuous improvement
        • +
        • Collaborate with operations teams to ensure seamless integration, deployment, and ongoing maintenance of the PaaS platform across global markets

        -

        Work Experience

        -
        • Minimum 5 years management experience in automotive, related manufacturing industry or a large multi-plant enterprise.
        • 7+ years purchasing experience, including procurement expertise in indirect commodities and purchase and procurement of services.
        • Proven success in achieving cost improvements through effective negotiations
        • Demonstrates ability to work effectively with different teams in different environments.
        • Skills and Competencies
        • Works on extremely complex problems where analysis of situations or data requires an evaluation of intangible variables.
        • Analytical thinking and problem solving
        • Ability to pull, analyze data to deliver logical conclusions and present data-driven opportunities and solutions using analytic tools and technologies
        • Ability to develop and execute strategies
        • Resourcefulness and ability to devise creative solutions to problems
        • Understand industry and market trends, supplier base, and supplier economics for category
        • Exercises independent judgment in developing methods, techniques, and evaluation criteria for obtaining results.
        • Ability to effectively communicate and influence key stakeholders to support proposed strategies, process improvements and operational decisions
        • Ability to manage and prioritize multiple simultaneous projects with minimal direction
        • Strong negotiations, persuasive, and effective decision-making skills.
        • Strong understanding of contract language
        • Proficient verbal and written communication skills and financial acumen to deliver results in a fast-paced environment
        • Competence in writing reports and making presentations to highlight the effect of cost analysis and changes proposed.
        • High proficiency in Microsoft Excel, PowerBi, PowerPoint and Word.
        • Hands on experience with spend analytics and IT software.
        • Experience with RFx strategy development and use of e-Sourcing tools.
        • Interprets and complies with Company policies, procedures, and regulations.
        • +
      +
      +
      +

      +
      +

      +

      What you bring:

      +

      +
        +
      • Significant Product Management experience, ideally with SmartHome, IoT and/or Platform as a Service
      • +
      • Experienced working with agile teams as a SCRUM Product Owner and using Jira, Confluence or equivalents
      • +
      • Technology background with understanding of: IoT, Artificial Intelligence, Machine Learning, API and others
      • +
      • Understanding of data governance, regulatory & privacy best practices
      • +
      • Recognized for your thought leadership, problem solving skills and willingness to take on new initiatives
      • +
      • An expert storyteller who can craft messages that land with any audience including presentations to senior leadership
      • +
      • Known for your excellent communication, and ability to foster an environment of collaboration, and idea sharing
      -

      Work Environment

      +


      Great to have:

      -
      • Normal amount of sitting or standing, average mobility to move around an office environment, able to conduct normal amount of work at a computer, may require travel.
      • +
          +
        • Bachelor\'s degree in Business, Data Science or AI/ML, Computer Science, Engineering, or a related field, advanced degree preferred
        • +
        • AWS certifications
        +

        +

        If you are passionate about creating innovative products that help to solve real-world problems, and have a track record of delivering successful technical products and services, then we encourage you to apply for this exciting opportunity!

        +

        +

      +
      ",,https://careers.telus.com/job/Toronto-Senior-Technical-Product-Manager-SmartHome-Platform-Access-Management-ON/571292117/,feed-importer@jobboard.io,,,,2023-08-04T02:18:09.649Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217491-senior-technical-product-manager-smarthome-platform-access-management-at-telus,,draft,2023-07-05T02:18:09.649Z,import-xml-feed:Selenium-Scraper,,,,,,, +71260e6c-1a5f-43a0-840b-733678217e68,237205981,Scotiabank,"Senior Manager, Trade Floor Risk Management (Foreign Exchange)",on_site,Canada : Ontario : Toronto,2023-06-17T15:52:05.545Z,"

      +

      +

      +

      +

      Requisition ID: 178186

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

      +

      +

      Purpose of Job:

      +

      +
      • Ensure that market risks in the Global FX trading businesses are acknowledged, controlled and reported in accordance with Bank policies and risk appetite.
      • Work in close collaboration with the business line as a valued partner by identifying key risks and assessing market conditions.
      • Review business line proposals for new products and limit changes and make recommendations to senior management.
      • Facilitate effective communication between risk and trading management teams across various centers in which the business operates (Toronto/London/New York).
      • +
      +

      +

      Job Responsibilities:

      +

      +
      • Market Risk – Oversee market risk exposures for covered businesses and convey to Senior Risk Management, Senior Trading Management and MRMPC on trading risks, trader sentiment and market conditions. Ensure adherence with Bank’s risk appetite and the business mandate. Produce and review daily risk and limit reports, and engage in discussions with the business as appropriate.
      • Partnership with Trading – Engage trading groups in a proactive manner to promote open communication between risk and trading. Escalate trading issues and work effectively with senior trading management.
      • Communication – Convey regularly with TFRM management on trading activity, trading risk profile, trader sentiment and market developments in covered businesses. Collaborate with global TFRM teams to ensure there is consistency in risk management approach. Collaborate with other Bank and GRM stakeholders to achieve common objectives.
      • Valuation – Ensure self-governing price verification is performed in accordance with policies and advise on appropriate valuation reserve adjustments in accordance with Bank’s policies. Assist in maintaining Official Rate Source Document (ORSD) for covered products. Identify risk taking activities and valuation issues through oversight of daily P&L attribution analysis.
      • Data Analytics – Participate in extracting insight from risk and market data through analytic techniques and data visualization tools (e.g. R, Python, Tableau, PowerBI).
      • New Product & Limit Adjudication – Review new product proposals and make recommendations to MRMPC on limit requests, including proposing new limits according to the Bank’s risk appetite.
      • Regulatory & Audit – Participate in external and internal audits and collaborate resolution of findings and participate in key regulatory initiatives (e.g. FRTB).
      • +
      +

      +

      Job Requirements:

      +

      +
      • True passion for capital markets and risk management.
      • Ability to manage projects independently while collaborating effectively with different stakeholders.
      • Excellent work ethic and communications skills with a focus on team work and suited for a fast-paced trade floor environment.
      • Strong analytical and problem solving skills with the established record of creativity and innovation.
      • Strong understanding of market risk principles related to OTC derivative products including credit exposure and mitigants, funding costs.
      • Understanding of risk measurement concepts such as VaR, stress examining, DV01 etc.
      • Proficiency at integrating and preparing large, varied datasets. Experience in the use of data analysis, reporting and visualization tools, e.g. Tableau.
      • +
      +

      +

      Location(s): Canada : Ontario : Toronto

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

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

      ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Trade-Floor-Risk-Management-%28Foreign-Exchange%29-ON-M5H-0B4/570540417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-17T15:52:05.554Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237205981-senior-manager-trade-floor-risk-management-foreign-exchange-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Trade-Floor-Risk-Management-%28Foreign-Exchange%29-ON-M5H-0B4/570540417/,draft,2023-06-17T15:52:05.545Z,import-xml-feed:Scotiabank,,,,,,, +fb95062d-e9d6-40de-bf2a-dc2ad03012d6,247732320,Scotiabank,"First Nations/Metis/Inuit - Director, Strategic Initiatives, Customer Office",on_site,Canada : Ontario : Toronto || Canada : Alberta : Fort McMurray || Canada : Alberta : Red Deer || Canada : British Columbia : Vancouver || Canada : Manitoba : Winnipeg,2023-07-17T15:52:03.288Z,"

      +

      +

      +

      +

      Requisition ID: 181366

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

      +

      +

      Posted pursuant to Scotiabank’s Special Program under the Employment Equity Act and Canadian Human Rights Act.

      While you must be an Indigenous person in order to submit your resume, participation is completely voluntary. Please use the definition below to make sure you’re eligible and open to self-identifying as Indigenous person:

      Indigenous Peoples include status, non-status First Nation, Métis and Inuit People. Only Indigenous Peoples who come from Canada should identify themselves as belonging to this designated group
      What your role will be…

      +

      At Scotiabank we help employees build their futures – where they can be themselves, and win together. With a commitment to diversity and inclusion and a performance-oriented culture that includes coaching, learning, and development – there are endless possibilities. At Scotiabank – you can make an impact.

      +

      +

      What you’ll be doing…

      +


      • Spearhead customer retention initiatives, revolutionizing our approach to minimize churn and elevate customer satisfaction
      • Utilize cutting-edge analytics to uncover deep customer insights, driving the development of highly targeted retention programs aligned with our customer-centric vision
      • Uncover invaluable data-driven intelligence by calculating customer churn ratios and creating predictive models to identify attrition risks
      • Partner closely with our VP of Customer Office to execute our dynamic short- and medium-term customer strategy, propelling profitability, fostering lasting customer relationships, and delivering extraordinary customer experiences
      • Ignite passion for excellence and be a motivating leader
      • Lead strategic projects of utmost importance, leveraging advanced data analytics and collaborating with diverse stakeholders to tackle critical business challenges head-on
      • Craft a compelling vision and roadmap for the Strategic Initiatives Team, focusing on reducing churn, driving exceptional customer experiences, and fueling growth through gross renewals and net retention improvements

      +

      +

      What you need to succeed…

      +


      • 7 - 10 years of management experience in the financial services sector in leadership
      • Proficient in data management, wielding the power of Python, R, and SQL
      • A trailblazer in driving strategic projects, navigating complexity, and rallying diverse stakeholders toward a common vision
      • Unwavering customer-centric mindset, with the ability to prioritize initiatives based on their potential to drive business value and create unforgettable customer experiences
      • Strong interpersonal and communication skills, empowering you to inspire and influence stakeholders
      • Bachelor's degree in Data Analytics, Marketing, Engineering, Business, or a related field.

      +

      +

      Working Conditions...

      +


      • Embrace the flexibility of a work-from-home arrangement, allowing you to thrive in a remote work environment while collaborating virtually with your talented colleagues
      • Expect approximately 10-25% office-based presence for planned activities defined by the Bank

      +

      +

      What we’re offering…

      +


      • The opportunity to join our diverse and inclusive organization and connect with other First Nations, Inuit, and Metis Scotiabankers and their allies when joining our Indigenous Employee Resource Group.
      • A competitive compensation and benefits package which include:

      +

      o $10,000 annually dedicated to your well being
      o Traditional Indigenous Practices Leave
      o Indigenous Employee Mentoring Program

      +

      • An organization committed to making a difference in our communities
      • You can expect to be recognized and rewarded for high-performance. You’ll be supported by leadership through meaningful development conversations that enable faster advancement and internal training to support your growth and development
      • You’ll receive clear, transparent criteria to progress in your career

      +

      +

      +

      Location(s): Canada : Ontario : Toronto || Canada : Alberta : Fort McMurray || Canada : Alberta : Red Deer || Canada : British Columbia : Vancouver || Canada : Manitoba : Winnipeg

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

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

      ",,https://jobs.scotiabank.com/job/Toronto-First-NationsMetisInuit-Director%2C-Strategic-Initiatives%2C-Customer-Office-ON/572176717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-16T15:52:03.294Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/247732320-first-nations-metis-inuit-director-strategic-initiatives-customer-office-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-First-NationsMetisInuit-Director%2C-Strategic-Initiatives%2C-Customer-Office-ON/572176717/,draft,2023-07-17T15:52:03.288Z,import-xml-feed:Scotiabank,,,,,,, +9c1d2d9e-3341-4a85-b654-2df08ded2737,243217488,TELUS,Senior Machine Learning Engineering Consultant,on_site,"Ontario, Canada",2023-07-05T02:18:09.345Z,"
      -

      Additional Information

      +

      Description

      +
      +

      +

      Our team and what we’ll accomplish together

      As a ML Engineer at TELUS, you’ll be in great company, working alongside some of the brightest and most creative Data Scientists, Data Engineers, and Strategists. You will be part of the journey we’re on to better understand our customers, to predict their needs and interaction behavior. With your expert knowledge and experience in Machine Learning, you will contribute to the development of state-of-the-art ML & AI driven solutions. Our team works in a fun, innovative, and challenging environment that directly influences the strategic direction and performance of the Marketing, Strategy & Data Insights team in our Home Solutions and Mobility business.

      +

      +
        +
      • We provide opportunities for you to excel and show your stuff: work on high-value and high-visibility projects
      • +
      • We have flexible work styles with the ability to work in and out of the office
      • +
      • You will work in a team that actively supports your personal development with progressive training and development tools
      • +
      +


      What you’ll do

      +

      +
        +
      • Support and evolve the AI Insights roadmap by leveraging industry research, best practices, and emerging tools/technologies
      • +
      • Study and transform data science prototypes and design machine learning systems according to requirements for production
      • +
      • Select appropriate datasets and data representation methods
      • +
      • Execute, oversee, and evolve production ML models and algorithm selection to deliver solutions that are relevant and facilitate decision-making.
      • +
      • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
      • +
      • Identify opportunities for process/model optimization and refine to improve effectiveness/accuracy and enhance ROI
      • +
      • Collaborate with Data Scientists and Data Engineers within TELUS as well as external Data Science communities
      • +
      • Responsible for end-to-end engagement from problem definition to insight delivery as well as value realization & measurement
      • +
      +

      +

      +
      +
      +
      +

      Qualifications

      -

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

      +

      What you bring

      -

      Special Requirements:

      +
        +
      • You have 5 + years experience in a data related position
      • +
      • Extensive experience with ML frameworks, platforms and tools, and expert knowledge with GCP
      • +
      • You have solid development experience with Python and are comfortable with using GitHub and other programing languages
      • +
      • You are well versed in software and AI development lifecycles
      • +
      • You are capable of delivering technical and complex concepts in a way that is understood by non-technical audiences
      • +
      • You are a collaborative, creative, open-minded individual who possesses a natural curiosity and desire to experiment
      • +
      • You have the ability to communicate effectively to gather advanced Data Science requirements from Director-level stakeholders and communicate finding/insights in clear concise manner; ability to create/deliver impactful presentations
      • +
      +


      Great-to-haves

      -
      • Candidates will be required to complete a Criminal Records Check and, if deemed necessary, a Credit Check as part of the candidate selection process.
      • +
          +
        • Masters in a quantitative field such as Math, Statistics, Computer Science, Economics, or Data Science
        • +
        • Google Professional ML Engineering Certification
        • +
        • Data visualization experience: Data Studio, Tableau, PowerBI, Domo, or Looker
        • +
        • Experience with agile methodology and team-based software development workflows (e.g. JIRA, Monday.com, etc.) #LI-Remote +
        +

        +

      +
      ",,https://careers.telus.com/job/Toronto-Senior-Machine-Learning-Engineering-Consultant-ON/568309817/,feed-importer@jobboard.io,,,,2023-08-04T02:18:09.345Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217488-senior-machine-learning-engineering-consultant-at-telus,,draft,2023-07-05T02:18:09.345Z,import-xml-feed:Selenium-Scraper,,,,,,, +407a3e21-2b3e-41b5-9a37-fd0973ecde2d,243217492,TELUS,Senior Software Developer,on_site,"Ontario, Canada",2023-07-05T02:18:09.735Z,"
      -

      Awareness. Unity. Empowerment.

      -

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

      +

      Description

      +
      +

      Join our team

      +

      +

      Become part of a future friendly national team, one that embraces change and initiates opportunity, has a passion for growth, believes in spirited teamwork, and has the courage to innovate. Our success is based as much on your dedication and hard work as it is on the innovative television, internet, voice, data and wireless products and solutions we offer.

      +

      +

      Here’s the impact you’ll make and what we’ll accomplish together

      +

      +

      As part of our Smart Cities and Home Services team, you will imagine, create, support and test innovative smart cities and live streaming services for TELUS. This is an opportunity for you to develop solutions and designs for streaming video while providing our customers with the best video streaming experiences. We’re stretching the boundaries of what is possible, and supporting and enabling local communities to expand their audiences.

      +

      +

      Here\'s how

      +

      +
        +
      • Provide leadership and architectural support for CI/CD pipeline and software development practices for a small team of developers
      • +
      • Create, test, and support new systems and services that you help create, operating in a dev-ops team.
      • +
      • Bring familiarity with building and using containers and other cloud-native tools
      • +
      • Develop new architectures and technologies to deliver the best viewing experience for our customers.
      • +
      • Develop and maintain technical documentation and architecture
      • +
      • Apply best practices of software development in different frameworks and troubleshoot integration issues
      • +
      • Automate service testing to ensure reliable and repeatable results.
      • +
      • Ensure a high level of code quality and integrity in software development projects
      • +
      • Work with Project Managers and Network Planners to ensure the successful delivery of projects
      • +
      • An understanding of the importance of automation and continuous integration and deployment
      • +
      +
      +
      +
      +

      Qualifications

      +
      +


      What you bring

      +

      +
        +
      • 5+ years of software development experience utilizing CI/CD practices and agile methodologies
      • +
      • Extensive experience with cloud-native tools and cloud environments (GCP and AWS)
      • +
      • Capable of mentoring developers and sharing your knowledge
      • +
      • Strong troubleshooting methodology
      • +
      • An interest in video streaming technologies
      • +
      • Insatiable curiosity for problem solving, technology and innovation
      • +
      • Desire to learn and take on new challenges
      • +
      • Ability to collaborate with diverse groups and technical teams
      • +
      • Strong verbal and written communication skills
      • +
      • Having a creative approach to problem solving and an ability to work independently in an environment with high levels of ambiguity
      • +
      • Ability to manage key deliverables as part of an extended project team
      • +
      • Excellent interpersonal skills, talented at developing and fostering positive relationships with other team members
      • +
      • Bachelors in Computer Science, Engineering or related discipline
      • +
      +

      +

      Great-to-haves

      +

      +
        +
      • Python, Java, C#
      • +
      • MySQL, MongoDB or equivalent databases
      • +
      • Docker, Kubernetes, Istio, Ansible
      • +
      • GitHub, AzureDevops, BitBucket, or equivalent source control repositories
      • +
      • Github Workflows, ArgoCD, Google CloudBuild, Helm or equivalent CI-CD pipeline tools
      • +
      • Adaptive bitrate streaming including HLS, DASH, and CDN technologies
      • +
      • Video analytics powered by machine learning technologies
      • +
      +

      FFHJOBS

      +
      +
      +
      ",,https://careers.telus.com/job/Edmonton-Senior-Software-Developer-AB/568066617/,feed-importer@jobboard.io,,,,2023-08-04T02:18:09.735Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217492-senior-software-developer-at-telus,,draft,2023-07-05T02:18:09.735Z,import-xml-feed:Selenium-Scraper,,,,,,, +4a3593b5-ca49-4371-ad61-2a8b7f042c1f,247786998,OMERS,"Senior Manager, Investment Finance (Private Equity)",on_site,"Ontario, Canada",2023-07-18T02:18:02.375Z,"
      +

      +

      +

      We are hiring for a Senior Manager, Investment Finance!

      +

      +

      The Senior Manager will report to the Director, Investment Finance and will be responsible for the accounting and reporting functions, as well as providing transaction support and analytics for the assigned portfolio of private equity assets. The Senior Manager will ensure the completeness and accuracy of financial records for all investments and establish a close working relationship with other members within the Finance, Tax, Legal and Deal teams.

      +

      +

      CORE RESPONSIBILITIES

      +

      +
      • Financial Reporting & Analytics
      +
        +
      • Supports the Deal Team and OMERS on various financial reporting and analytics for the private equity investment portfolios, with a core focus on Capital Solutions & Growth and PE funds portfolios;
      • +
      • Analyzes and provides performance return information (e.g. IRR, total return, etc) for the full portfolio and by segments, and prepares various management reports;
      • +
      • Liaises with deal team, legal, tax and OMERS corporate by providing support in transaction execution and other regular deliverables, in a timely fashion;
      • +
      • Ensures proper accounting treatments in accordance with all applicable agreements and accounting principles;
      • +
      • Reviews entries to the General Ledger with appropriate analysis and supporting documentation;
      • +
      • Reviews monthly and year-end working papers (including specific reporting for regional holding companies) with appropriate analysis and supporting documentation for annual financial reporting and audit purposes, and liaises with internal and external auditors accordingly;
      • +
      • Reviews the quarterly forecast and annual budget for the assigned portfolio, prepare/review forecast for royalties, funds and coinvests, and prepares incentive accrual input workbook;
      • +
      • Participate in preparation of Operating Plan, including engaging stakeholders in development of assumptions, reviewing calculated metrics and putting together presentation.
      • +
      • Collaborate with valuation team by compiling and supplying relevant information for quarterly valuation exercise, in a timely manner.
      • +
      • Reviews quarterly and/or annual legal entity financial statements including notes and audit working papers in accordance with the appropriate accounting standards, as well as corresponding tax kits;
      • +
      • Review intercompany account reconciliations and collaborate with other departments to investigate and resolve differences;
      • +
      • Participate in accounting research projects, as required.
      • +
      +

      +
      • Cash Management
      +
        +
      • Reviews project funding requests in accordance with approved commitments, as required;
      • +
      • Monitor cash balances and movements, in preparation of transactions, as required;
      • +
      • Reviews wire instructions, as required.
      • +
      +

      +
      • People Management
      +
        +
      • Manages and supports the development of immediate team members ensuring that they are given the opportunity and support to grow in their respective roles;
      • +
      • Engage with team regularly, and lead hiring and development of immediate team members;
      • +
      • Ability to jump in and working alongside team members to complete tasks in short order.
      • +
      +

      +
      • Compliance
      +
        +
      • Organizes and oversees the gathering of financial and operating information for compliance reporting purposes;
      • +
      • Responsible for reviewing information for statutory and other reporting, as required;
      • +
      • Liaises with the Legal team to ensure legal records are complete and accurate.
      • +
      +

      +
      • Other duties
      +
        +
      • Acts as back-up to cover duties of other team member(s) in relation to the Private Equity portfolio;
      • +
      • Act as subject matter expert in respect of the implementation of relevant accounting and information systems;
      • +
      • Other duties and ad hoc projects as assigned.
      • +
      +

      +

      QUALIFICATIONS

      +
        +
      • A minimum of 7 years of experience in accounting for the financial sector;
      • +
      • University degree in Business or related discipline;
      • +
      • Prior work experience in investment finance / asset management;
      • +
      • Successful completion of an accounting designation (CPA, CA, CMA or CGA);
      • +
      • Knowledge of IFRS and fair value accounting is preferred;
      • +
      • Strong analytical skills and results oriented;
      • +
      • Team player, and experience managing a few direct reports
      • +
      • Highly proficient in Microsoft Office tools especially Excel;
      • +
      • Ability to communicate clearly, concisely and accurately (both verbal and written);
      • +
      • Attention to detail, accuracy, and completeness is very important along with the ability to handle multiple tasks efficiently;
      • +
      • Ability to meet tight deadlines and to manage conflicting priorities; and
      • +
      • The successful candidate will need to demonstrate good interpersonal skills and the ability to quickly build relationships within their team and across departments, fostering an inclusive and collaborative culture.
      • +
      +

      +

      +

      +

      +

      +

      Our story:

      +

      Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

      +

      +

      OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

      +
      ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Senior-Manager--Investment-Finance--Private-Equity-_JR-5172?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-08-17T02:18:02.375Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/247786998-senior-manager-investment-finance-private-equity-at-omers,,draft,2023-07-18T02:18:02.375Z,import-xml-feed:Selenium-Scraper,,,,,,, +407c4daa-5f6e-49af-ac95-2432f7c2b49d,243216961,Borealis AI,Senior Business Development Lead,on_site,"Ontario, Canada",2023-07-05T01:58:03.995Z,"
      +

      What\'s the opportunity?

      +

      We’re looking for a critical problem solver who’s eager to help our machine learning research team deliver competitive products for RBC. As a member of our Business Engagement and Strategy team, you’ll be responsible for identifying exciting artificial intelligence research opportunities that will create outsized value for one of the bank’s lines of business. You’ll engage with our partners in the bank to develop strategic business plans to apply AI technologies to real-world problems, and you’ll collaborate with our product team to align business and technical stakeholders.

      +

      At Borealis AI, you’ll be joining a team that works directly with leading machine learning researchers and engineers. Our mission is to think big and go beyond what’s possible today to deliver competitive AI products. This is a rare opportunity to build the skills required to make machine learning work in the enterprise. You can find out more about our research areas at www.borealisai.com.

      +

      Your responsibilities will include:

      +
        +
      • Building and communicating strategic business plans, and collaborating with the Borealis AI research and product teams to ensure alignment, feasibility, and success;
      • +
      • Building relationships with RBC executives, subject matter experts, and technical teams;
      • +
      • Representing the business vision in the group’s product engagements and educating researchers on business needs;
      • +
      • Understanding Borealis AI research areas and creatively mapping technologies onto business problems to identify new work streams for Borealis within capital markets; and
      • +
      • Defining and documenting business requirements and collaborating with the product and research teams to establish product scopes, test technical feasibility, and resolve any business issues that arise during product development.
      • +
      +

      You’re our ideal candidate if you:

      +
        +
      • Have 5+ years of experience working at a financial or technology focused organization.
      • +
      • Were responsible for the delivery of at least one technology solution that drove material business impact;
      • +
      • Have a working knowledge of data analytics and machine learning;
      • +
      • Have experience developing relationships with senior and junior stakeholders at large enterprises;
      • +
      • Have experience developing business cases and other communications on technology projects;
      • +
      • Are a creative thinker who can develop long-term strategies as well as a stickler for detail on short-term commitments and deliverables;
      • +
      • Are excited to work with a machine learning research team on solving problems that cannot be solved with existing technology.
      • +
      +

      What’s in it for you:

      +
        +
      • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
      • +
      • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
      • +
      • Leaders who support your development through coaching and managing opportunities;
      • +
      • Ability to make a difference and lasting impact from a local-to-global scale.
      • +
      +

      About Borealis AI:

      +

      Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

      +

      Inclusion and Equal Opportunity Employment

      +

      RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

      +
      ",,https://www.borealisai.com/careers/?gh_jid=6764594002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-07-07T02:03:04.839Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243216961-senior-business-development-lead-at-borealis-ai,,draft,2023-07-05T01:58:03.995Z,import-xml-feed:Borealis-AI-Job-Feed,,,,,,, +840abcd9-aa89-419c-96d2-fe6476233393,243216238,CIBC,"Consultant, Advanced Analytics - 12 months",on_site,"Ontario, Canada",2023-07-05T01:41:04.913Z,"
      +

      We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

      +

      +

      At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

      +

      +

      To learn more about CIBC, please visit CIBC.com

      +

      +

      Job Description

      +

      +

      What you\'ll be doing

      +

      +

      As a member of CIBC’s team, the Consultant, Business Analytics is responsible for supporting the delivery of advanced consulting advice in data analytics, providing research and insights, and ensuring senior management has the relevant information to make informed decisions. The role applies advanced concepts to utilize various advanced analytical techniques such as statistical modeling, data mining, and machine learning. The Consultant, Business Analytics provides insights that inform decisions influencing department strategy, performs in-depth analysis of research information to identify opportunities, develops proposals and makes recommendations for management’s use. The role works autonomously on day-to-day work, researching industry best practices, tools, and systems for reporting and data analysis, identifying and recommending enhancements to automated systems used to create a standardized reporting system. The role uses independent judgement to determine methods and approaches to work and acts as a resource integrator for their area.

      +

      +

      At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

      +

      +

      How you\'ll succeed

      +
        +
      • Business Effectiveness - Identify and recommend changes that enhance operations whether through technology or other processes to ensure the efficiency and effectiveness of the department.

      • +
      • Strategic Thinking Approach – Drive, manage and execute data and reporting projects and initiatives in alignment with CIBC Strategy while supporting the business goals, objectives and key performance indicators. Ability to think strategically about how to mobilize and engage teams across the enterprise to deliver strategic change.

      • +
      • Relationship Management - Manage the relationship between the Data and Reporting and various partners throughout the bank with a high focus on client experience and partnering for shared success. Build internal and external relationships as required to help ensure we are providing the right level of service to our leadership team and business partners.

      • +
      • Communication - Excellent verbal and writing skills to effectively articulate ideas and opinions that involve analysis, processes, and technology solutions to others with different disciplinary backgrounds. Ability to produce a variety of business documents that demonstrate command of language, clarity of thought and orderliness of presentation.

      • +
      • Reporting - Track progress and conduct analysis of data and reports. Support in the tracking and communication of performance metrics.

      • +
      +

      +

      Who you are

      +
        +
      • You can demonstrate experience with: programming languages and have experience using modern big data, analytical and dashboard tools (i.e. SAS, SQL, Python, R, Hadoop, Spark, Alteryx, Tableau, Cognos).

      • +
      • You have a degree in a quantitative field (i.e. mathematics, statistics, computer science, economics, engineering, physics, business) or equivalent experience. Advanced degree is an asset (i.e. MMA, MBAN, MSc, MA, MBA).

      • +
      • You are a problem solver. You have exceptional critical thinking, problem solving and decision making skills with demonstrated ability to independently identify and analyze business problems and recommend solutions.

      • +
      • You demonstrate knowledge in organization\'s Information Technology (IT) environment and understand the integration / interdependencies of various processes across a line of business.

      • +
      • You have stellar communication skills. You have the ability to produce a variety of business documents that demonstrate command of language, clarity of thought and orderliness of presentation. You also have the ability to express oneself and communicate with others verbally; recognizing that verbal communication is more than just language - it includes tone, style and structure.

      • +
      • You\'re driven to succeed. You are motivated by accomplishing your goals and delivering your best to make an impact.

      • +
      • You act like an owner. You understand business and process requirements in order to define fairly complex processes or a sub set of processes affecting a line of business

      • +
      • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

      • +
      +

      +

      What CIBC offers

      +

      +

      At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

      +
        +
      • We work to recognize you in meaningful, personalized ways including a competitive compensation, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and moment makers, our social, points-based recognition program

      • +
      • Our spaces and technological toolkit will make it simple to bring together great minds to build innovative solutions that make a difference for our clients

      • +
      • We cultivate a culture where you can express your ambition through initiatives like purpose day; a paid day off dedicated for you to use to invest in your growth and development

      • +
      +

      +

      What you need to know

      +
        +
      • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

      • +
      • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

      • +
      +

      +

      +

      +

      +

      +

      Job Location

      Toronto-81 Bay, 23rd Floor

      Employment Type

      Temporary (Fixed Term)

      +

      Weekly Hours

      37.5

      Skills

      +

      Business Analytics, Business Intelligence (BI), Data Analytics, Data Science, Python (Programming Language), Structured Query Language (SQL), Tableau
      ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Consultant--Advanced-Analytics---12-months_2310858-1?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-08-04T01:41:04.929Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/243216238-consultant-advanced-analytics-12-months-at-cibc,,draft,2023-07-05T01:41:04.913Z,import-xml-feed:CIBC-Job-Feed,,,,,,, +6ad16131-135d-4c93-8f23-57f1345e7080,243217484,Clearpath,Technical Support Specialist (Rotating Shifts),on_site,"Ontario, Canada",2023-07-05T02:18:08.830Z,"

      Description

      Position: Technical Support Specialist
      Location: Kitchener
      Job Type: Full-Time Permanent
      Experience: 3+ years customer-facing work experience
      Education: Bachelors in related field
      Division: OTTO Motors

      +

      About OTTO Motors, a division of Clearpath Robotics

      +

      Our mission is to create safer, more productive and fulfilling workplaces with autonomous material handling technology.

      Most recently, OTTO Motors was recognized among the top 1% of Canada’s highest-performing global private companies by Communitech….. and Fast Company’s 2023 list of Most Innovative Companies in 2023.

      +

      Our loyal customers are also the most recognizable brands in the world and trust OTTO Motors to fulfill their mission-critical material handling needs: General Electric, Toyota, Hershey, Caterpillar, Berry Global, and more. For more information about us, visit www.ottomotors.com. OTTO delivers intelligence, productivity, scalability, results and most importantly, the future.

      +

      About the Job

      Clearpath is seeking a Technical Support Specialist to join our highly skilled team in Kitchener. At
      Clearpath we believe that every client is a VIP and we need someone who will obsessively focus on
      making our customers successful. You will be responsible for providing remote post-sales customer service and technical support to our rapidly growing list of customers globally. Don’t worry if you encounter a complex technical challenge, we have a team of insanely smart robotics engineers (the brain surgeons of robotics!) who will help you troubleshoot.

      Your primary responsibilities will be:

        +
      • Advanced Level technical support to our customers
      • +
      • On-call Escalation Support
      • +
      • Organizing warranty parts and repairs
      • +
      • Triage and customer assistance
      • +
      • Escalating tickets and coordinating engineering teams with support efforts
      • +
      • On-boarding new customers
      • +
      • Acting as a customer advocate internally
      • +
      • Chasing down a solution internally to a deployed customers issue
      • +
      • Supporting our partners deploying systems at new customer sites
      • +
      +
      About You

      You want to work for a fast-moving company that thinks big and dreams huge. You are driven, view
      work as more than just a job, and are never satisfied with a project left half-done. You want to be
      surrounded by people like you; creative, fun-loving, and passionate about their work. You are
      motivated by making an impact on your workplace and you thrive on challenging and rewarding
      problems. Oh, and you have some form of higher education with the common sense to back it up.

      Client-facing Skills:
       5+ years customer-facing work experience
       Strong communicator (written and verbal), with excellent phone and email manners
       Naturally friendly, energetic and empathetic personality
       Well organized and responsive, with great problem solving and negotiation skills
       Passionate about making people happy through exceptional service
       Basic grasp of technology and robotics
       Solid grasp of software architecture, and IT systems
       Communicating technical ideas in an easy to understand way

      Technical Skills:
       Hardware/Electrical hands-on troubleshooting
       Computer networking and applicable industrial standards
       Data analytics

      Bonus points for:
       Linux (Ubuntu), C, C++, Python
       ROS knowledge
       Ability to work evenings

      At Clearpath, we are committed to building and supporting a culture of diversity, inclusion, and accessibility. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, veteran status, sex, sexual orientation, gender identity, and expression. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

      ",,http://jobs.jobvite.com/clearpath/job/o3cFnfw1,feed-importer@jobboard.io,,,,2023-08-04T02:18:08.830Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217484-technical-support-specialist-rotating-shifts-at-clearpath,,draft,2023-07-05T02:18:08.830Z,import-xml-feed:Selenium-Scraper,,,,,,, +c0508df9-d55e-49ba-af92-329b926ddc89,243217475,Clearpath,Staff Software Developer (Fleet Manager),on_site,"Ontario, Canada",2023-07-05T02:18:07.691Z,"

      Description

      +

      Position: Staff Software Developer (Fleet Manager)
      Location: Kitchener, Ontario
      Job Type: Full-Time Permanent
      Experience: 8+ Years of relevant Software Development related experience
      Education: Post-Secondary degree or diploma in Computer Systems Technology or related field
      Division: OTTO Motors

      +

      About OTTO™ Motors (Division of Clearpath Robotics)

      +

      OTTO™ Motors is a growing, disruptive company, making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self-driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit www.ottomotors.com.

      +

      +

      About the Job

      +

      We are looking for a Staff Software Developer to work on the Fleet Core team as part of the Fleet Software Group.

      +

      The Fleet Software Group is responsible for the design, development and support of the Fleet Manager and software applications that allow our users to interact with, monitor and support their fleets of OTTO Autonomous Vehicles. This involves participation in the entire product workflow, from customer insight gathering, problem definition, solution proposals, application design, development, and support.

      +

      Reliable robot hardware needs reliable software, including Fleet Management. We are looking for a Staff Software Developer who can bring experienced software development experience and leadership to help us define, implement and deliver innovative solutions for our customers.

      +

      Primary Responsibilities

      +
        +
      • Solve technical problems of the highest scope and complexity for your team.
      • +
      • Advocate for improvements to product quality, and performance that have particular impact across your team and others.
      • +
      • Actively seek out difficult impediments to our efficiency as a team (""technical debt""), propose and implement solutions that will enable the entire team to iterate faster.
      • +
      • Drive innovation on the team with a willingness to experiment and to boldly confront problems of immense complexity and scope.
      • +
      • Exert significant influence on the overall objectives and long-range goals of your team.
      • +
      +
        +
      • Contribute to and extend documentation and materials to empower users of our Fleet Management solutions.
      • +
      • Provide mentorship for all members in the team to help them grow in their technical responsibilities and remove blockers to their autonomy.
      • +
      • Confidently ship large features and improvements with minimal guidance and support from other team members. Collaborate with the teams outside of the Fleet Group on larger projects.
      • +
      +

      About You

      +

      You want to work for a fast-paced company that thinks big and dreams huge. You are driven, view work as more than just a job and are never satisfied with less than 100% effort. You want to be surrounded by people like you; creative, fun-loving, and passionate about their work. You are motivated by making an impact on your workplace and you thrive on challenging and rewarding problems. As a Staff Software Developer you have delivered and supported software deployed for customers on the other side of the world. You know the ins and outs of the Software Development Life Cycle and strive to automate whatever you can along the way. You keep on top of the latest technologies and are not satisfied with “because we always did it that way”. You’re also an excellent communicator and team player with demonstrated leadership skills. You can clearly explain the merits of a solution to other developers and managers. You’ve got a real knack for coming up with solutions that make (and keep) people happy.

      +

      Required Experience/Skills

      +
        +
      • Post-secondary diploma in Software Development or related field
      • +
      • 8+ years Software Development experience
      • +
      • Strong Object Oriented Programming experience (Python, C++)
      • +
      • Strong bash or other shell scripting languages
      • +
      • Experience developing software with data persistence layer (SQL)
      • +
      • SCM experience (git, Gitlab, Github, Bitbucket, SVN, etc.)
      • +
      • Experience with ticket and content management systems (JIRA, Confluence, etc.)
      • +
      • Experience clearly and concisely communicating complex technical and architectural problems and proposing iterative solutions (LucidChart, Visio, etc.)
      • +
      +

      Bonus Skills

      +
        +
      • Experience developing ROS applications
      • +
      • Experience working with container frameworks (Kubernetes, Docker, etc.)
      • +
      • Experience with database object relational mapping libraries (Django, etc.)
      • +
      • Experience with CMake, make or other software build solutions
      • +
      • Experience with Nix package management
      • +
      • Debian based Linux skills - package management and configuration
      • +
      • Experience with data analytics and presentation tools (Grafana/Prometheus, Kibana/Elastic, etc.)
      • +
      • Experience configuring or deploying web based applications
      • +
      • Postgres or other database administration and/or integration experience
      • +
      +

      Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

      ",,http://jobs.jobvite.com/clearpath/job/oP8NmfwQ,feed-importer@jobboard.io,,,,2023-08-04T02:18:07.691Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217475-staff-software-developer-fleet-manager-at-clearpath,,draft,2023-07-05T02:18:07.691Z,import-xml-feed:Selenium-Scraper,,,,,,, +c7edfcad-f716-4155-80c2-9783ecdccc53,243217470,Clearpath,Perception Developer,on_site,"Ontario, Canada",2023-07-05T02:18:06.918Z,"

      Description

      +

      Position: Perception Developer
      Location: Based in Kitchener-Waterloo, Ontario
      Job Type: Full-Time Permanent
      Experience: 1-5 Years Relevant Work or Academic Experience
      Education: Graduate Degree in Related Field
      Division: OTTO Motors

      +

      About OTTO™ Motors (Division of Clearpath Robotics)

      +

      OTTO™ Motors is a growing, disruptive company, making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self-driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit www.ottomotors.com.

      +

      About the Job

      +

      We\'re looking for a driven, resourceful and motivated candidate for the Perception Developer position. This person will help develop the next generation of perception algorithms to tackle the toughest challenges in localization and mapping, object detection and tracking, machine learning, computer vision and more.

      +

      The Perception Team’s primary responsibility is the development of the core robotics software responsible for environmental sensing and understanding on all of our vehicles. You will be responsible for evaluating state-of-the-art ideas from academia and industry, and taking these ideas out of the lab and into the real world, identifying opportunities to improve, and developing high-performance software to run in real time on robots. As part of the Perception Team you will continue to advance the cutting edge of robotics research through collaboration with our academic partners and contributions to research publications and open source initiatives.

      +

      Your primary responsibilities will be:

      +
        +
      • Creating robust innovative solutions to the problems of robotic perception
      • +
      • Developing custom perception algorithms and systems related to localization and mapping, object detection and tracking, machine learning, computer vision, and more
      • +
      • Evaluating new sensing technology and robotic platforms
      • +
      • Assisting with concept development for new products and projects
      • +
      • Supporting the deployment and testing of robotic systems
      • +
      +
      • Staying up to the date with the latest developments from academia and industry
      +

      Skills and experience:

      +
        +
      • Graduate degree in engineering/CS or a related field, with applicable background.
      • +
      • Practical and theoretical knowledge in at least one or more areas of: state estimation, computer vision, SLAM, machine learning, object detection and tracking, robotic perception.
      • +
      • Strong software development skills in modern C++ and Python.
      • +
      • Understanding of software development workflows, life cycles and development methodologies and tools.
      • +
      • Hands-on experience with real world autonomous systems.
      • +
      +

      Bonus points for:

      +
        +
      • Experience writing efficient, high performance code.
      • +
      • Experience with ROS, Gazebo, OpenCV and PCL.
      • +
      • Experience with machine learning frameworks such as Tensorflow, PyTorch and TensorRT.
      • +
      • Familiarity with linear algebra and nonlinear optimization techniques and libraries such as Ceres, GTSAM, g2o and Eigen.
      • +
      • Understanding of sensor error modeling, particularly laser rangefinders and vision systems.
      • +
      +

      Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, gender identity/expression, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

      ",,http://jobs.jobvite.com/clearpath/job/oKM5mfwH,feed-importer@jobboard.io,,,,2023-07-11T02:23:03.163Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/243217470-perception-developer-at-clearpath,,draft,2023-07-05T02:18:06.918Z,import-xml-feed:Selenium-Scraper,,,,,,, +333e9e22-2b16-4a6a-89a4-911c24ba9466,243217442,OMERS,Records and Information Management Lead,on_site,"Ontario, Canada",2023-07-05T02:18:03.620Z,"
      +

      +

      +

      Why join us?

      +

      Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

      +

      At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

      +

      We are looking for a motivated Records and Information Management Lead to join the dynamic Architecture, Infrastructure, Data & Analytics (AIDA) team within OMERS Data and Technology. AIDA applies data, analytics and AI to develop scalable and appropriately governed solutions that drive sustainable growth at OMERS.

      +

      +

      Job Description Summary

      +

      Reporting to the Manager, Information Governance in this role you will:

      +
        +
      • Develop and operationalize Enterprise Information Governance policies, standards and procedures to mitigate risk and comply with regulatory information requirements​, and
      • +
      • Operationalize Enterprise Information Management (EIM) capabilities for physical records across entire Information Lifecycle (Create, Store, Use, Share, Archive & Destroy), to improve efficiency, promote transparency and enable business insight
      • +
      • Support enterprise records management operations
      • +
      • Provide thought leadership on how automation and AI can be used to enable digital transformation and create a platform for innovation, agility, and application modernization.
      • +
      • Working with business units to elicit, analyze and validate external requirements and translate these requirements into information governance controls, including data classification, retention, disposition and protection requirements
      • +
      +

      +

      To be successful in this role, you will develop and nurture strong relationships with key governance partners (including Technology Teams, Risk, Privacy, Cybersecurity, Internal Audit, Compliance, Legal) and OMERS business units to identify applicable laws, regulations and industry standards governing the handling of records and data. You will also develop, implement and maintain key processes and controls for complying with those requirements, such as data retention and disposition processes. In doing so, you will directly strengthen our compliance practices, manage risks to our organization and help optimize the ability of data to support a diverse array of global business functions.

      +

      +

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

      +
        +
      • Understanding the function, location and ownership of records/data across the OMERS enterprise and updating inventories, metadata repositories and other tools necessary to enable an enterprise-wide retention and disposition program.
      • +
      • +Researching laws, rules and regulations impacting the records retention, including the duration, location and manner for keeping records across in legal jurisdictions from across the globe.
      • +
      • Maintaining a network of business area representatives with accountability and ownership for records retention and disposition decision-making, as well as points of contact for records/data inquiries and issue resolution requests.
      • +
      • Establishing and leading the Data Stewardship Program to enable management and oversight of our organizational data assets.
      • +
      • Developing and maintain procedures and workflow processes necessary to support efficient, compliant management of records and data in line with best practices, laws and regulations.
      • +
      • Working with information management and technology team members to support the implementation of a new Enterprise Data Retention Standard by applying retention categories and rules in electronic content management solutions and structured data systems.
      • +
      • Coordinating a legally defensible data disposition program applicable to physical records, electronic documents and structured data.
      • +
      • Apply record hold and discovery processes in response to litigation, claims, audits, investigations, personal information access requests and other legal proceedings.
      • +
      • Developing and implementing an Enterprise Archives program, including establishment of archival selection criteria for physical records, electronic content and structured data.
      • +
      • Developing and implementing a Digitization Strategy, Roadmap and Plans, while always seeking for the opportunities to reduce OMERS paper footprint and automate manual processes, through continual improvement initiatives.
      • +
      • Drive a culture of compliance, risk management and innovation by delivering records and data-related training, awareness and enablement programs.
      • +
      +

      +

      To succeed in this role, you have:

      +
        +
      • Degree or diploma in Archives, Information Studies, Library and Information Science, Information Technology Management, Law, Compliance or Policy Management, AND/OR relevant professional certification, such as Certified Records Manager (CRM), Certified Records Analyst (CRA) or Information Governance Professional (IGP).
      • +
      • 3-5+ years experience developing and implementing records/data retention, disposition and archival preservation controls.
      • +
      • Solid grasp of records/data retention, disposition, legal holds, archival preservation, content management systems and information governance standards and best practices.
      • +
      • Experience identifying and assessing legal/regulatory requirements impacting the handling of records and data.
      • +
      • Experience using and applying data and information governance controls to electronic systems, such as structured databases, electronic records management systems and content management systems.
      • +
      • Experience in preparing and executing digitization initiatives and digital records management
      • +
      • Ability to build relationships and facilitate discussion across a diverse group of stakeholders from different business units.
      • +
      • Demonstrated experience in project and time management.
      • +
      • Advanced analytical skills, including the ability to interpret and apply complex legal language, industry standards and policy statements.
      • +
      • Polished written communication and dynamic presentation skills targeted at all levels of the organization.
      • +
      • Experience automating or enhancing records and data management processes through the use of technology is an asset.
      • +
      • Experience working in the Finance, Pensions, Investments or Commercial Real Estate sectors is an asset.
      • +
      +

      +

      +

      +

      +

      Our story:

      +

      Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

      +

      +

      OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

      +
      ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Records-and-Information-Management-Lead_JR-5017?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-07-18T02:23:02.961Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217442-records-and-information-management-lead-at-omers,,draft,2023-07-05T02:18:03.620Z,import-xml-feed:Selenium-Scraper,,,,,,, +d1f72768-3323-4168-9f82-5d074b94b446,243217435,OMERS,Financial Analyst,on_site,"Ontario, Canada",2023-07-05T02:18:02.987Z,"
      +

      Why join us?

      +

      +

      Are you looking to join an innovative, global real estate company who builds communities and connects people to exceptional places? If so, we would love to tell you our story.

      At Oxford, our culture is truly one of a kind. Across business lines and around the world, we embrace the complex and tackle opportunities with speed and agility. We are ambitious and humble, forward looking and service-focused. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live. We believe that what is good for the environment is good for business. Together we deliver exceptional experiences to our over 2 million daily customers.

      +

      +

      +

      +

      +

      We are growing and looking to add a Financial Analyst to our team!

      +

      +

      We are looking for a Financial Analyst with strong financial accounting and analytical skills to join our growing team in Toronto. In this role, you will have ownership over a portfolio of real estate assets located in Oxford’s US group; you will gain a full understanding of their operations. For this portfolio, you will be accountable for a diverse set of activities, including full cycle accounting and reporting, real estate performance analysis, certain aspects of consolidated regional reporting and analysis, financial planning, and ad hoc support related to transaction activity.

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

      +
        +
      • Financial reporting for various US properties including timely and accurate recording of monthly results obtained from service providers;
      • +
      • Financial reporting for certain corporate structures including timely and accurate recording of monthly results obtained from service providers;
      • +
      • Month end review and reporting to Corporate Consolidations team: preparation of journal entries, bank reconciliations, month end key indicator and variance analysis against budgets, equity, investment and intercompany account reconciliations, cash management, general and administrative expense analysis, foreign exchange analysis etc.;
      • +
      • Preparation of various financial information for Joint Venture partners;
      • +
      • Preparation of standalone and consolidated financial statements or review of financial statements prepared by third party service providers in various jurisdictions, ensuring consistent application of accounting standards in accordance with local GAAP or IFRS;
      • +
      • Coordination of interim and year-end audits for various entities;
      • +
      • Technical analysis to ensure appropriate accounting treatment for acquisitions and dispositions; and
      • +
      • Completing ad-hoc analyses as required by management.
      • +
      +

      +

      Financial Planning & Analysis and Operational Support:

      +
        +
      • Prepare and analysis of annual operating plans and quarterly reforecasts with our various US teams and asset managers; and
      • +
      • Assisting with the execution of portfolio strategies related to the International investments, including supporting the investments team on the execution of transactional activity.
      • +
      +


      Process Innovation and Controls:

      +
        +
      • Participation in projects with a focus on continuous improvement and making recommendations for efficiencies in day to day responsibilities; and
      • +
      • +Ensure compliance with Oxford’s processes and controls. +
      • +
      +

      +

      To succeed in this role, you:

      +
        +
      • Have a University degree in accounting or business administration
      • +
      • Have completed or are working towards the CPA designation
      • +
      • +Have a minimum of 2 years of experience in accounting, real estate management company experience preferred but not required +
      • +
      • Excel in working in a fast pace, dynamic environment and have demonstrated time management and organizational skills, and an ability to prioritize responsibilities
      • +
      • +Have experience working in a large international organization with a complex organizational structure and in a multi-currency environment Proficiency in Microsoft Word, Excel, and Outlook required, and exposure to JD Edwards and Hyperion Financial Management (HFM) is considered an asset +
      • +
      • Are analytical and have the ability to produce analysis with appropriate style and language to support conclusions
      • +
      • Have high attention to detail and accuracy and strong follow-up skills
      • +
      • Have strong written and verbal communication skills
      • +
      • Have strong management/improvement kills with a mindset for continuous improvement
      • +
      • Embrace collaborative sharing of knowledge within a team environment
      • +
      • Are driven to achieving results and continuously striving to deliver the highest performance through critical thinking
      • +
      +

      +

      +

      +

      Our story:

      +

      Oxford Properties Group (“Oxford”) is a leading global real estate investor, asset manager and business builder. It builds, buys, and grows defined real estate operating business with world-class management teams. Established in 1960, Oxford and its portfolio companies manage approximately C$87 billion of assets across four continents on behalf of their investment partners. Oxford’s owned portfolio encompasses office, logistics, retail, multifamily residential, life sciences, hotels, alternatives and credit in global gateway cities and high-growth hubs. A thematic investor with a committed source of capital, Oxford invests in properties, portfolios, development sites, debt, securities, and real estate businesses across the risk-reward spectrum. Together with its portfolio companies, Oxford is one of the world’s most active developers with over 80 projects currently underway globally across all major asset classes. Oxford is owned by OMERS, the Canadian defined benefit pension plan for Ontario\'s municipal employees.

      +

      +

      For more information on Oxford, visit www.oxfordproperties.com

      +

      +

      +

      +

      OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

      +
      ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Financial-Analyst_JR-5058?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-08-04T02:18:02.988Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/243217435-financial-analyst-at-omers,,draft,2023-07-05T02:18:02.987Z,import-xml-feed:Selenium-Scraper,,,,,,, +8a88588a-0419-4f8a-94af-f09bcacfb702,243217463,Roche,Pharmacovigilance and Safety Data Lead (Data Acquisition Lead),on_site,"Ontario, Canada",2023-07-05T02:18:05.922Z,"
      +

      The Position

      +

      Pharmacovigilance and Safety Data Lead (Data Acquisition Lead)

      +

      +

      The team:

      +

      The Safety Data Acquisition (DA) team, based in Welwyn, Basel and Mississauga, is critical in working across the Roche organisation to understand the pharmacovigilance data-related requirements needed to achieve scientific/patient insights and to meet regulatory requirements. Collaborating with a variety of suppliers including Affiliates, Pharma, Diagnostics, Group functions and partner companies to build or access the global safety data/information sources that are required, and influence the upstream data supply chain.

      +

      +

      Safety data intake management and strategy

      +
        +
      • Management of global safety data intake to ensure data intake is of high quality and meeting regulatory and business data standards.

      • +
      • Influencing and managing the format, route, quality and intake mechanisms of global safety data sources to ensure effective data collection, enabling our organisation to derive the impactful insights.

      • +
      +

      +

      Consultation on safety data collection obligations

      +
        +
      • Providing vigilance expertise to ensure AE reporting compliance from all sources for Roche Pharma products

      • +
      • Adapting to the constantly evolving environment with the introduction of devices (In-Vitro Diagnostics, Physical, Software as a Medical Device), Gene and Cell Therapies, decentralised trials and the new complexity which integrated healthcare solutions bring, we work with other global functions to find immediate and long term solutions to ensure Roche keeps striding towards our 2030 Vision

      • +
      +

      +

      The role:

      +

      As a member of the Data Acquisition team in Safety Operations you will support our mission of “Advancing personalised safety through the power of data”.

      +

      +

      Data generation is increasing and the platforms and tools by which we engage with our customers are evolving - from websites for physicians to directly request access to our medicines, to applications designed for patients to track/monitor their conditions (such as Kaiku and Floodlight). Data from diverse sources (such as electronic health records, insurance databases, literature & social media posts, clinician notes, adverse events reported directly to us) can be utilised to inform on patients’ quality of life, new opportunities for treatment and feed into the organisation\'s mission to personalise healthcare.

      +

      +

      This role provides an opportunity to interface with different functions across medical affairs, global product strategy, device development groups, clinical safety and data scientists. Building strong networks with various stakeholders across the organisation as well as applying your drug safety expertise and leadership skills to new exciting areas such as Digital Health, wearables and the use of real world data in pharmacovigilance.

      +

      +

      Who you are:

      +

      Education/Qualifications:

      +

      Minimum: Degree level qualification

      +

      +

      Experience, Skills, Knowledge:

      +

      +

      Pharmacovigilance experience required:

      +
        +
      • In-depth, demonstrated experience in a breadth of areas pertaining to pharmacovigilance, and pharmacovigilance legislation; at least 4 years work experience in pharmacovigilance functions

      • +
      • Good knowledge of international regulations (ICH, EU GVP Modules, FDA)

      • +
      • Understanding of the pharmaceutical industry (product development and the commercial environment) and of the rapidly-evolving personalised healthcare environment and ecosystem

      • +
      • Preferable: service provider management experience, project management skills, clinical trial data management experience, digital health, digital media, MAPs, compassionate use, validated systems

      • +
      +

      +

      Other skills required:

      +
        +
      • Creative problem solving in a complex, process-focused environment.

      • +
      • Well developed influencing and negotiating skills, with the ability to influence at all levels of an organisation, without direct authority.

      • +
      • Excellent interpersonal skills, builds strong sustainable relationships with internal and external stakeholders

      • +
      • Proven ability to engage with new stakeholders effectively and with a high degree of comfort and confidence

      • +
      • Effective leadership and communication skills

      • +
      • Ability to input and deliver on strategy

      • +
      • Ability to work in global or matrix teams, to work across geographic areas, business settings and cultures, including in a virtual environment.

      • +
      • Proven track record of effective decision-making; makes good business decisions and exercising sound judgement

      • +
      • Quick learner

      • +
      • Good computer literacy

      • +
      • Professional level in English, in oral and written communications

      • +
      +

      +

      Travel Requirements: International travel required (less than 10%)

      +

      This role is open in Welwyn Garden City, UK, Basel, Switzerland and Mississauga, Canada.

      +


      +

      +

      Who we are

      +

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

      +

      +

      Our UK Pharmaceutical head office is situated in Welwyn Garden City, Hertfordshire, with beautiful countryside surrounding the area. Supported by major motorways & airports as well as being a 30 minute train ride to London, access is easy. Our award-winning office, known as Hexagon Place, was opened in 2005 and provides a modern, flexible working environment with facilities that are second-to-none. Around 2,000 people work at our Welwyn office in Global Early Development (pRED), Global Product Development (PD), Commercial (Rx) and our Corporate functions.

      +

      +

      Roche offer a competitive salary plus the excellent benefits you would expect from a blue-chip organisation. There is a fully equipped gym on-site, a library and information centre, and an active sports and social club. We also have a subsidised staff restaurant providing foods to cater for every taste throughout the day. At the heart of the building is an informal meeting area known as The Street which features a coffee shop, snack machine and cashpoint. A second building on-site, called The Hub, contains modern meeting room and conference facilities. Roche promotes personal well-being and work-life balance. Therefore, flexible working options will be considered for all roles at Roche UK. Roche is committed to creating a diverse & inclusive environment. The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche.

      +

      +

      The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants’ requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.

      +
      ",,https://careers.roche.com/global/en/job/ROCHGLOBAL202306115096EXTERNALENGLOBAL/Pharmacovigilance-and-Safety-Data-Lead-Data-Acquisition-Lead,feed-importer@jobboard.io,,,,2023-07-18T02:23:02.961Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/243217463-pharmacovigilance-and-safety-data-lead-data-acquisition-lead-at-roche,,draft,2023-07-05T02:18:05.922Z,import-xml-feed:Selenium-Scraper,,,,,,, +4ed82d08-efdb-4918-9ca8-bc4e3d53dc4e,243217451,Avidbots,Director of Corporate PMO,on_site,"Ontario, Canada",2023-07-05T02:18:04.453Z,"
      +

      Position: Director of Corporate PMO

      +


      +

      About Avidbots:

      +


      +

      At Avidbots, we believe in solving real world problems with autonomous robotics solutions. Our current product, Neo, is a fully autonomous floor scrubbing robot deployed and trusted by the world’s leading facilities and building services companies- and we aren’t stopping there! We are dedicated to continuously innovate, both on our current product and developing new solutions. Headquartered in Kitchener, ON, Canada and Chicago USA, Avidbots is a rapidly growing technology company, recognized as a Great Place to Work and one of Deloitte\'s Fast 500.

      +


      +

      Take a look at what Neo can do!

      +


      +

      About this role:

      +


      +

      As the Director of Corporate PMO, you will build and lead a small team of project leads to spearhead corporate initiatives that span the enterprise and support its goal of operational scalability that keeps pace with aggressive growth. You will lead on your own or with the help of others several simultaneous projects, such as cross-functional processes that need definition, change, or documentation, large-scale system implementations, and other internal projects as assigned. In addition, you will support development and implementation of the company-wide OKR framework to drive alignment and cohesion of operating teams.

      +


      +

      How you will make a difference:

      +


      +
        +
      • Lead the corporate project management function, ensuring critical initiatives get done on time and as planned
      • +
      • Project-manage the implementation of a new ERP, contract management system and integration of main systems to form ubiquitous data architecture to support business growth
      • +
      • Create, define and document cross-functional corporate processes driving consistency and standardization by working collaboratively with functions
      • +
      • Support company’s operational reviews and cross-functional governance through company-wide objectives tracking
      • +
      • Partner with company’s IT team to develop a long term systems and capability strategy and to drive prioritization of investments into people, enabling processes and systems
      • +
      • Collaborate with product and engineering PTO team to ensure corporate infrastructure and processes are modified as needed to ensure smooth launch of new products and features
      • +
      +

      +

      This position is based remotely and candidates may be located in the US or Canada

      +


      +

      Key requirements and experience:

      +


      +
        +
      • 10+ years of PMO experience, especially with cross-functional teams
      • +
      • Builder of teams; ability to rally disparate parts of an organization to achieve a common goal
      • +
      • Experience leading large-scale projects such as OTC process redesigns and ERP adoptions and reorganizations as well as smaller-scale kaizen bursts and gap analyses
      • +
      • 5+ years experience with companies that blend hardware/software or manufacturing/services in their operational model or product
      • +
      • 5+ years experience in operational roles and ability to demonstrate instinctive business acumen
      • +
      • 5+ years experience leading a PMO
      • +
      • Ability to communicate both written and verbally at both executive and operational levels with precision, vision, and impact
      • +
      • Highly analytical; able to separate distractions from large, impactful opportunities and threats
      • +
      • Ability to leverage or blend waterfall and agile methodologies to suit the projects’ needs
      • +
      • Risk management experience, especially with respect to IT systems and data issues
      • +
      • Experience establishing, leading, and altering internal governance structures, both rigid and flexible, as needed
      • +
      • Deep knowledge of PMO toolsets; able to select, deploy, and drive adoption of these to maximize PMO effectiveness for specific projects
      • +
      • +PMP, PRINCE2, Agile, or SAFe certified +
      • +
      +


      +

      Avidbots is an equal opportunity employer committed to building a diverse workforce. As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. We offer a professional working environment and culture and believe that work/ life balance is critical to ensure the happiness/well-being of our people.

      +



      +
      ",,https://avidbots.bamboohr.com/careers/692,feed-importer@jobboard.io,,,,2023-08-04T02:18:04.453Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217451-director-of-corporate-pmo-at-avidbots,,draft,2023-07-05T02:18:04.453Z,import-xml-feed:Selenium-Scraper,,,,,,, +c88a819e-c05f-4886-a09c-485ca6514ed5,242607512,Scotiabank,"Senior Manager, Product Owner Compliance Systems - Global Compliance",on_site,Canada : Ontario : Toronto,2023-07-03T15:52:04.901Z,"

      +

      +

      +

      +

      Requisition ID: 179994

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

      +

      +
      +

      Purpose

      Contributes to the overall success of Scotiabank’s Global Compliance Data, Analytics and Technology Enablement unit, ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives and all activities are conducted in compliance with governing regulations, internal policies and procedures.

      The Senior Manager, Product Owner Compliance Systems drives consistency across the Bank’s GRC technology solutions through aligned and simplified processes, increased automation and integrated technology solutions to provide a holistic view of key factors for risk management and executive decision making.

      Accountabilities

      • +Manage and oversee one or more of the Transactional GRC Systems (such as OpenPages / Enterprise Case Management-ECM Oracle / ClauseMatch / Compliance data bases) to drive customer satisfaction and proper risk management, by:
        • Collaborating with the Technology and Business teams to understand and articulate the product vision, customer impacts, stakeholders value, system dependencies and technological processes.
        • Drive problem solving of complex issues through in-depth research, identifying options and evaluating against strategic and execution criteria to recommend a proposed approach
        • Facilitates communication and coordinate across multi-disciplined teams; clearly and effectively define and communicate complex problems that are specifically tailored to audiences from stakeholders to senior management.
        • Provide subject matter expertise and thought leadership to partners as required
      • Work closely with project team(s) and stakeholders to maintain focus driving progress towards further process simplification, supported by technology tools and based on sound data and analytics
      • Partner with Change Management team to develop and execute on adoption strategy and continuous enhancement of training materials
      • Create process lifecycle documentation (functional requirements, system development milestones, user test, deployment roadmap) related to OpenPages / ClauseMatch / ECM and other systems, simplification or innovation initiatives, including end-to-end process map
      • Champion automation and technology adoption to solve or optimize compliance directives, participating in new services and solutions design and development and though leadership initiatives
      • Be actively involved in the preparation, conception, realization and Go Live of implementation projects
      • Ensure products are performing as expected and resolving issues that arise in a timely manner with updates to partners and escalations to management as required
      • Supports Director, GRC Systems with ad-hoc data analysis, problems solving, and project execution in order to support the overall Data and Analytics and Technology Enablement team
      • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions
      • Actively pursues effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
      • Champions a high-performance environment and contributes to an inclusive work environment.
      • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge

      Education/Experience

      • Education, Information technology /Business Management
      • IBM OpenPages / GRC certification
      • 5+ years leading and building high performance teams
      • Knowledge of the Bank's application systems and their relationships within the Bank is an asset
      • Regulatory Compliance, Audit or Internal Controls role in a large Financial Institution experience
      • Experience working in an Agile environment is an asset
      • Spanish speaking is an asset
      • Passion for innovation coupled with positive attitude, thirst for knowledge, team oriented, pragmatic
      • Proven ability to develop creative, human-centered solutions which balance end-user experience, total cost of ownership, complexity, and speed to market
      • Strong organizational skills an asset
      • Strong technical competency an asset
      +

      +

      Location(s): Canada : Ontario : Toronto

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

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

      ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Product-Owner-Compliance-Systems-Global-Compliance-ON-M5H1A1/571504117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-17T15:57:03.994Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/242607512-senior-manager-product-owner-compliance-systems-global-compliance-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Product-Owner-Compliance-Systems-Global-Compliance-ON-M5H1A1/571504117/,draft,2023-07-03T15:52:04.901Z,import-xml-feed:Scotiabank,,,,,,, +583667d0-2b37-452e-9040-0bdcd349f0b4,245220829,Magna International,Advanced Quality Specialist,on_site,"Penetanguishene, ONTARIO, CA, L9M 1G8",2023-07-10T16:04:02.153Z,"
      +
      +

      Role Summary

      +

      Responsible for all aspects of Advanced Product Quality Planning (APQP) and effective change management for assigned program(s) and continuous improvements of all products/processes developed and produced at Techform.

      -
      ",,https://jobs.magna.com/job/Senior-Category-Manager%2C-Services/571627417/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-08-02T16:04:03.128Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/242608265-senior-category-manager-services-at-magna-international,https://jobs.magna.com/job/Senior-Category-Manager%2C-Services/571627417/,draft,2023-07-03T16:04:03.128Z,import-xml-feed:Scrapy-Scraper,,,,,,, -56e99763-038a-4dd3-9e04-166abb6eb4af,242608267,Magna International,Engineering Co-Op Student - Manufacturing Engineer - Aviva,on_site,"Vaughan, ONTARIO, CA, L4K 2K1",2023-07-03T16:04:03.206Z,"

      Key Responsibilities

      -
      • Drawing creation, update, review, release, etc. from rough concepts up to detail/final drawings considering tolerance/fits, GD&T, and MSM/Customer specifications.
      • Trial coordination, data analysis, and follow up
      • Coordination of outside vendors (sub-contracted testing, processing of parts, supply of components, etc.)
      • Cycle time studies and bottleneck identification
      • Problem solving including root cause investigation, data analysis, and presentation
      • Assist in equipment design, build, installation, and commissioning
      • Assist in workcell layout and improvement projects
      • Ergonomic assessment and improvement
      • Tooling and gauging design, build, and implementation
      • Shipping of parts, tooling, etc.
      • -
      +
      +

      Customer Support
      Lead/Participate/Approve Customer Production Part Approval Process (PPAP) supporting program timing
      • Ensures all Advanced Product Quality Planning (APQP) requirements are known/tracked/adhered to using planned milestones
      • Review Government Approvals required and develop Inspection Standard (where required)
      • Leads Plant trials for Engineering changes, Tool Moves and New Program Launches
      • Lead problem solving for applicable Launch quality concerns (pre-SOP ie. customer specific reports: 8D, 7 Step, 5 Phase, Is/Is Not, 6 Panel, etc.)
      • Participate in Warranty reviews (where applicable)
      • Manages applicable new model launch (pre-SOP) field support to ensure effective containment and timely closure of issues

      +

      Advanced Internal Activities
      • Coordinate and participate in Internal/Supplier Drawing Reviews
      • Prepare and complete Control Plans following MQS 7 control plan management
      • Prepare and complete component Receiving Inspection Matrix and Instructions
      • Develop Product Validation (PV) Plan (schedule) including reliability and confidence (R&C) requirements in accordance with Program timing
      • Develop, implement safe launch plans for new program launches
      • Participate in Process Failure Mode Effects Analysis (PFMEA) review and team sign off
      • Participate and verify BOM is correct and accurate during program launch
      • Facilitate supplier deviation requests (i.e. Supplier Request for Change Deviation SRCD’s) through closure with the supply base
      • Coordinate and participate in Early Supplier Involvement with Design and Purchasing
      • Adhere to all Platform Execution Process (PEP)/Program Planning requirements and expectations
      • Develop Customer attachment/contact point list
      • Coordinate and ensure signoff / concurrence of control plan / customer attachment point checklist
      • Review Geometric Dimensioning and Tolerancing (GD & T), requirements (Finished Goods / Components)
      • Prepare and present Launch Readiness panels (LRR)
      • Participate in mapping including Critical Characteristics review and ensure compliance
      • Participate in Document Linkage Review
      • Review lessons learned database and add as necessary
      • Establish Supplier PPAP timing and review/approve on time prior to Product Validation requirements (PV testing)
      • Supports pre-production builds

      +

      Testing
      • Conduct PV test fixture verification and set up review
      • Ensure proper level test parts are built and delivered to test lab (including safe launch)
      • Periodic review of in-process testing
      • Post test set-up and results signoff
      • Test Incident Report (TIR) response and resolution for PV
      • Carry out annual validation testing as required by customer
      • Leads TIR investigation, prepares 8D report and ensure timely closure of issues (PV)

      +

      Other
      • Participates in quality systems audits with customer and external auditors as required
      • Perform other duties as required

      +
      -

      Key Responsibilities 2

      -
      • Support with continuous improvement, suggestion program, quality improvement, and cost reduction projects
      • Initiate and embrace company change
      • Maintain proper filing system to ensure all information is properly stored and easily retrieved Comply and participate in monthly Health & Safety Quiz
      • Provide Engineering support to other departments as directed by the Engineering Manager or designate
      • -
      +

      Health and Safety Responsibilities

      +

      • Ensure all safety and non-safety rules and regulations are followed.
      • Ensure adherence to established quality and housekeeping standards.
      • Review and adhere to division health and safety, environmental, and quality standards, operating procedures, and policies.
      • Respond immediately to items brought to his/her attention with respect to hazards, defects or non-compliance issues.
      • Understand and uphold the policies that prohibit workplace violence and harassment.
      • In addition to the above, the duties include those specified under the Occupational Health & Safety Act .

      -

      Key Qualifications/Requirements

      -
      • 3rd or 4th year of University working towards an Engineering degree or equivalent
      • Some product design and CAD design experience, proficiency in mechanical drafting
      • Strong documentation, organizational & project management skills
      • Strong leadership, problem-solving & analytical skills
      • Must be able to communicate fluently in both written and spoken English.
      • Must have good organizational skills, be a self-starter, team player and an active listener
      • -
      +

      Performance Measures

      +

      •Meet all critical deliverables as outlines in the APQP and PEP process to support program/project timing
      • PV Testing to plan
      • Execute all programs/projects within the established budget
      • PPAP on time to program commitment date (s)
      • ECR/Quote completion
      • TIR response
      • 48 hours
      • Zero supplier responsible launch concerns (New Model Launch)
      • Ensure timely communication to all departments involved
      • Adherence to all Techform policies and guidelines

      +
      +
      +

      Qualifications and Skills

      +

      • Completion of community college diploma/certificate.
      • 3 to less than 5 years of work related experience.
      • Completion of a post-secondary education program in mechanical/quality engineering
      • ASQC certification as a quality engineer (CQE) preferred
      • Tier I automotive experience preferred

      +
      +
      +

      Core Competencies

      +

      •Multi-Tasks
      • Persuades and Influences Others
      • Results Orientated
      • Accepts Criticism
      • Adaptable
      • Analytical
      • Approachable
      • Assertive
      • Dependable
      • Driven
      • Independent
      • Responsible
      • Team – Worker
      • Time Conscious
      • Works with Minimal Supervision
      • Holds Others Accountable
      • Maintains Discipline
      • Makes Decisions
      • Manages Change
      • Presents to Others
      • Trains Others
      • Analyses Data
      • Attends to Details
      • Communicates Effectively
      • Confronts Issues
      • Copes with Deadlines
      • Exercises Judgment
      • Follows Through
      • Mathematical Aptitude

      Additional Information

      @@ -1567,116 +4677,209 @@ dc863f77-d1d4-47f3-8c40-89d7d767ee16,237206030,Magna International,Engineering S

      Awareness. Unity. Empowerment.

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

      -
      ",,https://jobs.magna.com/job/Engineering-Co-Op-Student-Manufacturing-Engineer-Aviva/571336917/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-08-02T16:04:03.206Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/242608267-engineering-co-op-student-manufacturing-engineer-aviva-at-magna-international,https://jobs.magna.com/job/Engineering-Co-Op-Student-Manufacturing-Engineer-Aviva/571336917/,draft,2023-07-03T16:04:03.206Z,import-xml-feed:Scrapy-Scraper,,,,,,, -611d8b18-4edd-4727-8cc1-2ca94f250a8b,242607509,Scotiabank,"Senior Manager Business Analysis, Capital Markets Technology",on_site,Canada : Ontario : Toronto,2023-07-03T15:52:04.429Z,"

      +
      ",,https://jobs.magna.com/job/Penetanguishene-Advanced-Quality-Specialist-ONTA-L9M-1G8/571982317/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-13T16:09:02.531Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/245220829-advanced-quality-specialist-at-magna-international,https://jobs.magna.com/job/Penetanguishene-Advanced-Quality-Specialist-ONTA-L9M-1G8/571982317/,draft,2023-07-10T16:04:02.153Z,import-xml-feed:Scrapy-Scraper,,,,,,, +4dd9f3ae-07ac-4952-8c67-203f948974ca,243217493,TELUS,Metadata Product Owner (Collibra),on_site,"Ontario, Canada",2023-07-05T02:18:09.896Z,"
      +
      +

      Description

      +

      +

      Join our team The impact what we’ll accomplish together

      +

      The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions. We are doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI tooling and high quality data. We have a data-product and data platform oriented culture and we are always keeping an eye on the horizon, preparing for the next big thing.

      -

      Requisition ID: 174869

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

      +

      We are entrepreneurial and passionate, believers that so much more is possible and can be achieved by creating value and great outcomes for our customers, team members, communities, and environment and that through meaningful transformation we can integrate dynamic change in our professional lives.

      -

      The Team
      The Global Bank & Market, Data & Analytics – Compliance Engineering team is an exciting team with the mandate to design, develop, and execute global technology strategy for the Bank. As part of the Global Equity Technology & Quantitative Trading Solutions department, the successful candidate will add value to the Equity Products, Delivery and Analytics team by supporting their technology and business analysis needs in development and support of solutions Equity Mid-Office and Trading systems.

      +

      Our team members appreciate diversity of thinking, ideas and experiences, and are always learning, experimenting and applying tuition value into everything we do.

      -

      The Role
      The incumbent will be responsible for the product roadmap for the new mid-office platform. They will lead a team comprised of development, system analysts, project management, and quality assurance in the delivery of the product roadmap. The incumbent will own the analysis leading to the definition of requirements, design, testing, project coordination and implementation processes, for Equity Products, Delivery and Analytics team, and other business lines being serviced. The incumbent, when called upon, is also responsible for participating in a variety of other projects for new systems or enhancements. The candidate will work with other technology groups and vendors, and provision of ongoing support for all users in the business lines supported.

      +

      As a Trusted advisor for Metadata Management, you’ll contribute to the adoption and advancement of TELUS’ Data Management and Metadata Program, you will contribute to the advancement of TELUS’ Metadata Repository content, maturity and adoption.

      -

      Some of the key accountabilities include:

      -

      • Manage resources and prioritizes work assignments, meet milestones. Communicate and negotiate timelines, budget, staffing, scope and critical milestones with project managers and key stakeholders.

      -

      • Identifies and documents project requirements in order to capture required outcomes and ultimately support the business’s overall objectives.

      -

      • Assist in resolving complex, multi-faceted problems to meet the system needs of various Middle Office teams, Cash Equity, DMA and Global Equity Derivatives Trading Desks and their internal and external customers, by applying your business and technological knowledge to analysis, defining user requirements, design and implementation of systems solutions. This may involve rapid prototyping, with requirements and solutions developed on an iterative basis that provides interim deliverables until a final production solution is created.

      -

      • Builds, sustains, and leverages relationships with individuals within his/her area of immediate responsibility when gathering, validating, and approving requirements to establish a comfort level in managing relationships and understanding business needs and assurance that a quality result will be delivered.

      -

      • Determines the best approach for eliciting, analyzing, validating, and prioritizing requirements to ensure that the necessary information is captured from the relevant stakeholders to address the business needs
      • Participate in the systems implementation process by defining business requirements and processes, assisting with developing test strategies and test cases, performing testing, defining user procedures and workflows, developing conversion and implementation strategies, verifying conversion, providing user documentation, providing user training, and providing post-implementation support.
      • Assist with the coordination of small projects and/or specific sections of large projects to implement solutions to business problems.
      • Provide support to other BAs, Delivery Managers in support of both the Trade Floor and Mid-Office systems. The incumbent is responsible for ensuring that management is kept informed and that problems and issues are escalated appropriately.
      • Assist with coaching other business analysts, and guiding technical staff, and users on an individual project basis.
      • Collaborates with business partners, including senior management, to define business objectives, process, and requirements. Within the context of the project, collaborates on and sometimes leads discussions with business partners to better understand the business environment, to determine potential impacts on the project scope and objectives.

      +

      As a Subject Matter Expert in Data Management, collaborate with various business units and demonstrate thought leadership when sitting at the intersection between business value, technology and data to ensure TELUS’ metadata repository is of highest quality and provides a one stop shop for all information needs about TELUS’ data assets. Growth mindset is the must for this role as we are lean l and extremely adaptable team that supports all aspects of Center of Excellence practice.

      +
      +
      +
      +

      +

      -


      What You Will Bring to Succeed
      • Expert knowledge in the workflows associated with Institutional post trade processing for Equity and Derivative listed transactions their associated flow for street side and client allocation (FMC, DTC CTM) for submission into back-office book of records systems (i.e. Broadridge).
      • Experience with any/all of the following is considered necessary assets for the position: Broadridge Intact and FIX Protocol. Fidessa CTAC.
      • Understands and is familiar with the application of techniques associated with data modeling, process modeling, and user-centred design within the context of the organizational standards
      • Possesses a university degree and 5 - 7 years business analysis experience, supporting medium to large-sized projects
      • Possesses solid business understanding and knowledge of the use of technology and applications in mid-office and front office trading
      • Canadian Securities Course is desirable
      • Solid knowledge of project management and the system development life cycle/agile development process
      • Highly desirable working knowledge of DTC CTM and/or SS&C FMC, BPSA, and Fidessa CTAC.

      +

      What you\'ll do

      -


      The Workplace
      • We are technology partners who help the business transform how our employees around the world work
      • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
      • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
      • We foster an environment of innovation and continuous learning
      • We care about our people, allowing them to design how they work to deliver amazing results
      • We offer a competitive total rewards package, including a performance bonus, company matching programs (on pension & profit sharing), and generous vacation

      -

      Scotiabank
      As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

      +
        +
      • Empower rapidly growing TELUS Enterprise Metadata Management Platform user community
      • +
      • Enrich user experience for both author and consumer communities of users for all capabilities (Business glossary, data catalog, report catalog, API Catalog, Insights catalog Data science catalog and others)
      • +
      • In alignment with the program vision and goals, define and drive user adoption processes by meaningful interactions and consistent application of advanced branding, marketing and communication techniques and skills to drive user engagement
      • +
      • Support and be attentive to users needs and concerns in a timely manner, alleviate user concerns in a positive manner in alignment with program vision and approach
      • +
      • Actively monitor metadata quality and metadata maturity trending and initiate appropriate corrective actions with responsible users and stakeholders
      • +
      • Nurture and grow user community by preparing, facilitating, coordinating and running community of practice forums; capture, manage and follow up on all action items raised; communicate outcomes as needed
      • +
      • Lead/support Collibra Metadata Platform user training and onboarding activities for all existing and future platform components and capabilities - glossaries, catalogs and inventories
      • +
      • Maintain existing and development new training materials
      • +
      • Manage platform governance community and follow processes for respective assets management ( business terms, acronyms, data issues, …)
      • +
      • Advocate for Data management and governance practice
      • +
      • Keep informed and apply data management and governance best practices
      • +
      • Support business users help-desk
      • +
      +

      #DSEjobs

      -


      Is this Role not the Exact fit?
      Sign up to stay in touch; we’ll let you know when we have new positions on the team.
      #scotiatechnology

      -

      #LI-Hybrid

      -

      #CapitalMarketTech

      -

      Location(s): Canada : Ontario : Toronto

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

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

      ",,https://jobs.scotiabank.com/job/Senior-Manager-Business-Analysis%2C-Capital-Markets-Technology/568547617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-02T15:52:04.439Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/242607509-senior-manager-business-analysis-capital-markets-technology-at-scotiabank,https://jobs.scotiabank.com/job/Senior-Manager-Business-Analysis%2C-Capital-Markets-Technology/568547617/,draft,2023-07-03T15:52:04.429Z,import-xml-feed:Scotiabank,,,,,,, -e44364a0-e8f3-4b83-b91c-68ee573fc523,242607575,TD Bank Group,Salesforce Applications Developer,on_site,"Toronto, ON",2023-07-03T15:53:02.394Z,"
      -

      Company Overview

      -
      -

      Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

      -

      Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

      -

      -

      Department Overview

      -
      -

      Building a World-Class, Diverse and Inclusive Technology Team

      -

      We can’t afford to be boring. Neither can you. The scale and scope of what TD does may surprise you. The rapid pace of change makes it a business imperative for us to be smart and open-minded in the way we think about technology. TD’s technology and business teams become more intertwined as new opportunities present themselves. This new era in banking does not equal boring. Not at TD, anyway.

      -

      TD Securities provides a wide range of capital market products and services to corporate, government and institutional clients. The firm works with clients around the world, focusing selectively and strategically on the key financial centers: Toronto, Montreal, Calgary, Vancouver, New York, London, Singapore and Tokyo. www.tdsecurities.com TD Securities is a member of TD Bank Group and a subsidiary of The Toronto-Dominion Bank of Toronto, Canada, a top 10 financial services company in North America. The Toronto-Dominion Bank trades on the New York and Toronto stock exchanges under the ticker symbol “TD”. To learn more, visit www.td.com.

      -

      There’s room to grow in all of it.

      -

      -

      Job Description

      -
      -

      About This Role

      -

      Certified Salesforce Developer as part of the AML, Communication, Employee Governance and Surveillance (A.C.E.S.) Technology team. The candidate should have strong Computer Science fundamentals, including algorithms, data structures and system design. Primary focus will be development on the Salesforce platform our Registered Employee Directory Services solution as we are in the process of Integrating with Cowen systems.

      -

      Following are the general responsibilities of the role:

      +
      +

      Qualifications

      +
      +

      +

      What you bring

      +

      +
        +
      • Expert level of understanding and demonstrable working knowledge of Collibra Metadata Platform capabilities and UI
      • +
      • Expert level of understanding and demonstrable knowledge of Data and Metadata Management practices
      • +
      • Expert level of understanding and demonstrable knowledge of branding, presentation and marketing
      • +
      • Expert level of understanding and demonstrable knowledge of Data Governance practices
      • +
      • Strong communication & problem solving skills
      • +
      • Strong understanding of Data Management Lifecycle
      • +
      • Working knowledge with database technologies, reporting tools and APIs
      • +
      • Working knowledge with systems, data and metadata documentation related skills (e.g. CRUD, processes , transformations, data flow diagrams)
      • +
      • Ability to work with Communication platforms used (gSuite, web pages, Collibra dashboards, …) hands on design and development required
      • +
      • Project management skills in order to administer, schedule, manage meeting agendas/ reviews/ MoM/communication and groups of stakeholders
      • +
      • Working knowledge of Data Management practices as per DAMA International BOK framework
      • +
      +

      +

      Great-to-Haves

      +

        -
      • Leads the creation of a comprehensive end-to-end detailed solution with overall accountability for the technical design and delivery of the System Design Specification (SDS) and is largely focused on large-scale, complex or enterprise projects. May also be accountable for complex programming / coding.
      • -
      • Provide estimates for new projects and initiatives for the development / design component of the overall plan working with relevant team members / stakeholders
      • -
      • Develop functional, technical and user interface designs for an application / system that meets the defined requirements (business, enterprise architecture direction, system performance and development standards)
      • -
      • Consult on development of the System Requirements Specification (SRS) and apply functional knowledge of business functions to design optimal software / systems
      • -
      • Work with the Technology Project Manager, Business Analysts / Systems Analysts, and other team members to define metrics and performance goals for the application
      • -
      • Comply with well-defined enterprise technology delivery practices and standards and project management disciplines, business technology architecture, and risk and production capacity – including development of project documentation of system requirements, estimates of scope and cost, etc.
      • -
      • Deliver effective and efficient solutions by meeting key project milestones and ensure that the project deliverables are on time, within budget, and adhere to the corporate quality and security standards
      • -
      • Conduct code reviews to ensure adherence to quality, standards compliance, reusability and ease of maintenance, Operational Readiness Reviews, and supporting gating and review sign-offs for solution design
      • -
      • Ensure design leverages existing reusable components and has traceability to business requirements and ensure new modules are designed with reusability as a key requirement
      • -
      • Prioritize and manage own workload in order to deliver quality results and meet timelines
      • +
      • University degree in computer science and/or 5 years of working experience in Information Management
      • +
      • Collibra University Certification
      • +
      • Knowledge of Collibra Data Quality Technology
      • +
      • Demonstrable DAMA international BOK Framework knowledge and/or application
      • +
      • PMP certification
      • +
      • Fluency in speaking, reading and writing French
      +

      #DSEjobs

      +

      -

      -

      Requirements

      -
      -

      What can you bring to TD? Share your credentials, but your relevant experience and knowledge can be just as likely to get our attention. It helps if you have:

      +
      +
      ",,https://careers.telus.com/job/Toronto-Metadata-Product-Owner-%28Collibra%29-ON/570784617/,feed-importer@jobboard.io,,,,2023-08-04T02:18:09.896Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217493-metadata-product-owner-collibra-at-telus,,draft,2023-07-05T02:18:09.896Z,import-xml-feed:Selenium-Scraper,,,,,,, +81e3b552-fa8f-4390-813d-6bed8e85963b,245265866,Clearpath,Robot Builder,on_site,"Ontario, Canada",2023-07-11T02:18:02.911Z,"

      Description

      +

      About Clearpath Robotics Inc.

      +

      Clearpath Robotics Inc. develops the future of robotics technology through development and sale of industry-leading self-driving technology, products, and services to over 500 of the world’s most innovative brands. Proprietary hardware, software, and services are delivered through the company’s research and industrial divisions: Clearpath Robotics and OTTO™ Motors. Clearpath Robotics Inc. is an award-winning company with recent awards including Robotics Business Review Top 50 Robotics Company, Edison Award for Innovation, Business Insider Top 40 under 40, and Canada’s Top 100 Employers.

      +

      About the Job:

      +

      We are currently selling more robots than we can build! We require a handy individual to take charge of assembling a variety of different platforms and ensuring that we perpetually strive for a higher level of quality. We need a Robot Builder to take responsibility in assembling our core products along with their accessories.

      +

      You will contribute to a team dedicated to seeing a robotic platform from start to finish. Additionally, when you are not wrenchin’ down screws, you will be tasked with maintaining the organization and cleanliness of the production area.

      +

      This position requires the worker to be on site for the full daily shift. There is no opportunity to work from home.

      +

      Your primary responsibilities will be:

      +
        +
      • Electromechanical Assembly of robotic platforms
      • +
          +
        • Use of hand tools
        • +
        • Use of hoisting equipment
        • +
        • Cable installation and wire routing
        • +
        +
      • Rotating throughout different assembly stations to achieve cross-training among team members
      • +
      • Ensuring your workspace follows 5S guidelines
      • +
      • Using a computer for work instructions via VKS system
      • +
      • Production area maintenance
      • +
      • Production equipment maintenance
      • +
      • Other duties as assigned
      • +
      +

      About You:

      +

      You want to work for a small company that thinks big and dreams huge. You are driven, view work as more than just a job, and are never satisfied doing a job less than 100%. You want to be surrounded by people like you; creative, fun-loving, and passionate about their work. You are motivated by making an impact on your workplace and you thrive on challenging and rewarding problems.

      +

      Required Skills:

      +
        +
      • Experience working on manual product assembly
      • +
      • Wiring or cable installation experience preferred
      • +
      • Hands-on experience with common tools, eg, screwdriver, hammer, and electric drills.
      • +
      • Practical knowledge of Microsoft Office Excel and GSuite
      • +
      • Able to work the Day shift Hours 7am - 3pm Monday to Friday
      • +
      • Positive and professional attitude with safety mindset
      • +
      • Proven ability to work independently
      • +
      • Experience working with ERP systems is an asset.
      • +
      • Ability to follow written assembly work instructions in English
      • +
      • Comfortable with abrupt changes to project deadlines.
      • +
      • Ability to lift up to 50 lbs comfortably
      • +
      +

      Bonus points for:

      +
        +
      • Hobbies that involve working with power tools, woodworking for instance
      • +
      • Hobbies that involve assembly with hand tools, car maintenance for instance
      • +
      • Lean manufacturing experience
      • +
      • Continuous Improvement Process
      • +
      • 5S methodology
      • +
      • Previously being part of a Health & Safety Committee
      • +
      +

      What’s in it for you:

      +
        +
      • Work life balance - vacation, flexible long weekends, half-day birthdays and wellness days
      • +
      • Competitive salary and career growth opportunities
      • +
      • Comprehensive benefits for you and your family to support your health and wellness
      • +
      • Corporate discounts and Group Insurance (home and auto)
      • +
      • Free snacks to keep you energized during the shift!
      • +
      • Cool company events such as BBQs and other celebrations including occasional food trucks at the facilities
      • +
      • Growth opportunities
      • +
      • Friendly and fun co-workers!
      • +
      +

      At Clearpath, we are committed to building and supporting a culture of diversity, inclusion, and accessibility. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, veteran status, sex, sexual orientation, gender identity, and expression. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863

      ",,http://jobs.jobvite.com/clearpath/job/o2J9nfw1,feed-importer@jobboard.io,,,,2023-08-10T02:18:02.911Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/245265866-robot-builder-at-clearpath,,draft,2023-07-11T02:18:02.911Z,import-xml-feed:Selenium-Scraper,,,,,,, +5ab33bf6-9d8f-45ea-bf58-6176dd52b162,245961725,Bell Canada,Project Manager (BI),on_site,"Toronto, Ontario",2023-07-12T19:22:03.040Z,"

      Req Id: 412552 

       

      At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we’re revolutionizing how Canadians communicate.

       

      If you’re ready to bring game-changing ideas to life and join a community that values bold ideas, professional growth and employee wellness, we want you on the Bell team. 

       

      +
      +
      +

      Key Responsibilities:

      +
      +
      +

      We are seeking an enthusiastic, adaptable, and results-driven performer to provide overall program leadership and support to our Consumer Business Insights Marketing group. In partnership with an experienced team, you will be responsible for:

      +

      +

      Capacity Planning and Request Management:

        -
      • Undergraduate Degree or Technical Certificate.
      • -
      • Graduate degree preferred.
      • -
      • 7+ years relevant experience.
      • -
      • Salesforce development experience – 7+ years
      • -
      • Apex development experience – 5+ years
      • -
      • Salesforce Lightning component Development – 4+ years
      • -
      • Salesforce Platform/Enterprise edition – 2+ years
      • -
      • Salesforce Communities/Sites – 2+ years
      • -
      • Salesforce DX development using VS Code – 2+ years
      • -
      • Source control – BitBucket – 1+ years
      • -
      • Agile development experience – 2+ years
      • -
      • Integration experience (REST/MuleSoft) – 2+ years
      • -
      • Salesforce Platform Developer II – Certification
      • -
      • Excellent Communication Skills (written and verbal)
      • +
      • Facilitate weekly deliverable prioritization calls with Marketing stakeholders;
      • +
      • Facilitate weekly sessions to review incoming deliverables with Consumer Business Intelligence managers;
      • +
      • Conduct feasibility assessments and clarification of scope and requirements of each project;
      • +
      • Assign development teams to work on deliverables;
      • +
      • Refer projects that are out of scope to other teams;
      • +
      • Overall Program Support
      • +
      • Work with Marketing and BI analysts to manage overall planning, execution and monitoring of identified programs including managing schedules, scope, cost and quality control for assigned projects;
      • +
      • Develop and support short- and long-term strategies and objectives by providing advice and guidance to key stakeholders about cross-functional projects associated with assigned programs;
      • +
      • Coordinate and/or facilitate scrum calls with key stakeholders on a regular basis documenting action items and tasks as well as follow-ups to ensure completion Create and maintain trackers/ dashboard for each program. Track project performance by analyzing deliverables against requirements;
      • +
      • Present high level program status updates to key stakeholders, managers and executives;
      • +
      • Identify risks, constraints and changing requirements that impact timelines;
      -

      NICE TO HAVE:

      +

      +
        +
        +
        +
        +
        +

        Critical Qualifications

        +
        +
        +

          -
        • Business knowledge in one or more of the following areas preferred:
        • -
        • Capital Markets
        • -
        • Regulatory Compliance solutions experience.
        • +
        • University degree or equivalent education in Marketing, Business, Project Management or other relevant discipline;
        • +
        • Excellent project management capabilities; Ability to understand complex dynamics of working with multiple stakeholders with divergent interests;
        • +
        • Understanding of the marketing planning lifecycle and key business units such as product, pricing and marketing communications;
        • +
        • Passion for uncovering business needs, identifying opportunities, and aligning efforts to ensure timely implementation;
        • +
        • Excellent interpersonal skills (verbal and written communication) and the ability to make a difference by exerting influence;
        • +
        • Demonstrated ability to create and build multiple partnerships;
        • +
        • Strong ability to influence without authority and drive results;
        • +
        • Strong ability to work under pressure;
        • +
        • Strong ability to assess business priorities, issues and people impacts;
        • +
        • Strong problem-solving ability; ability to make good decisions and make sound recommendations;
        • +
        • Great analytical capabilities for interpreting data, developing ideas and implementing initiatives;
        • +
        • Excellent organizational sense and proven ability to manage multiple mandates and work in a fast-paced and agile environment
        -

        -

        Additional Information

        -
        -

        Join in on what others in TD Technology Solutions are doing:

        +
        +
        +
        +

        Preferred Qualifications

        +
        +
        +

          -
        • Inspire a positive work environment and help champion quality, innovation, teamwork and service to the business.
        • -
        • Learn voraciously, stretch your thinking, share your knowledge and educate others.
        • -
        • Communicate and collaborate with both technical and non-technical professionals.
        • -
        • Cultivate winning relationships by building trust with business and technology partners.
        • -
        • Share our commitment to productivity, effectiveness and operational efficiency.
        • +
        • PM experience an asset;
        • +
        • Work experience in the telecommunications industry, an asset;;
        • +
        • Proficiency in JIRA, Confluence and other collaboration tools;
        • +
        • Advanced skill level in Microsoft Word, PowerPoint, Excel & Outlook;
        • +
        • Excellent ability to synthesize information;
        • +
        • Excellent presentation skills and Experience with post-mortem analysis
        -

        -

        Hours

        -
        37.5
        -

        -

        Inclusiveness

        -

        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

        -

        -
        ",,https://jobs.td.com/en-CA/jobs/18648772/salesforce-applications-developer-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-08-02T15:53:02.405Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/242607575-salesforce-applications-developer-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18648772/salesforce-applications-developer-toronto-ca/,draft,2023-07-03T15:53:02.394Z,import-xml-feed:TD-Bank-Group---Job,,,,,,, -4c89425c-8a2e-4476-9b5d-103838593fb4,236957637,Google,"Field Sales Manager, Data Analytics, Google Cloud",on_site,"Toronto, ON, Canada",2023-06-17T01:54:02.885Z,"
        Google Careers is temporarily undergoing maintenance. Some actions are unavailable. -
        ",,"https://careers.google.com/jobs/results/93934927319311046-field-sales-manager-data-analytics-google-cloud/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-07-04T01:59:03.250Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/236957637-field-sales-manager-data-analytics-google-cloud-at-google,,draft,2023-06-17T01:54:02.885Z,import-xml-feed:Google-Job-Feed,,,,,,, +
        +

         

        #EmployeeReferralProgram

         

        Adequate knowledge of French is required for positions in Quebec. 

         

        Additional Information:

        Position Type: Management 
        Job Status: 
        Regular - Full Time 
        Job Location:
        Canada : Ontario : Mississauga || Canada : Ontario : Toronto 
        Work Arrangement: Hybrid 
        Application Deadline: 07/27/2023 

         

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

         

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

         

        At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

         

        Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

         

        Created: Canada, ON, Mississauga

         

        Bell, one of Canada's Top 100 Employers.

        ",,https://jobs.bell.ca/ca/en/job/BECACA412552EXTERNALENCA/Project-Manager-BI?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2023-08-11T19:22:03.051Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/245961725-project-manager-bi-at-bell-canada,BECACA412552EXTERNALENCA,draft,2023-07-12T19:22:03.040Z,import-xml-feed:Bell-Canada,,,,,,, d06f57da-84b0-48a8-a085-03d5aafeeee8,236958265,Vector Institute,Administrative Assistant,on_site,"Ontario, Canada",2023-06-17T02:12:02.935Z,"

        JOB DESCRIPTION


        Administrative Assistant

        @@ -1764,6 +4967,8 @@ e97a1caf-b70d-4a67-8963-2698c3d63fff,236958268,Vector Institute,"Equity, Diversi

        Please address applications (cover letter and resume) to Taylor Walker, Specialist, Internships & Work Integrated Learning, using the link provided. The deadline for submission is June 19, 2023, at 1:00PM EDT. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs. Please note that all interviews are currently being held remotely.

        At the Vector Institute, we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. In order to relieve disadvantage and alleviate the under-representation of Black and Indigenous people in AI, and to attempt to achieve equal opportunity in the field of AI, priority in hiring will be given to qualified Black and Indigenous persons, studying at or having recently graduated from a Canadian post-secondary institute, who self-identify as such in the application process. This initiative is designed to meet the criteria of a special program under the Ontario Human Rights Code.

        If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

        ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=9200420850870_2&jobId=448363&lang=en_CA&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2023-06-23T02:17:07.487Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/236958268-equity-diversity-inclusion-analyst-intern-at-vector-institute,,draft,2023-06-17T02:12:03.175Z,import-xml-feed:Vector-Institute-Job,,,,,,, +4c89425c-8a2e-4476-9b5d-103838593fb4,236957637,Google,"Field Sales Manager, Data Analytics, Google Cloud",on_site,"Toronto, ON, Canada",2023-06-17T01:54:02.885Z,"
        Google Careers is temporarily undergoing maintenance. Some actions are unavailable. +
        ",,"https://careers.google.com/jobs/results/93934927319311046-field-sales-manager-data-analytics-google-cloud/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-07-04T01:59:03.250Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/236957637-field-sales-manager-data-analytics-google-cloud-at-google,,draft,2023-06-17T01:54:02.885Z,import-xml-feed:Google-Job-Feed,,,,,,, e30e1028-36b6-4c39-8fbd-70ed1974b54a,236959717,Sun Life Financial,"Director, Transformation",on_site,"Ontario, Canada",2023-06-17T02:15:01.716Z,"

        You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

        @@ -1847,143 +5052,7 @@ e30e1028-36b6-4c39-8fbd-70ed1974b54a,236959717,Sun Life Financial,"Director, Tra

        Salary Range:

        105,000/105 000 - 165,900/165 900

        Job Category:

        Advanced Analytics

        -

        Posting End Date:

        18/06/2023
        ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Director--Transformation_JR00077103-2?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-07-17T02:15:01.724Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/236959717-director-transformation-at-sun-life-financial,,draft,2023-06-17T02:15:01.716Z,import-xml-feed:Sunlife-Job-Feed,,,,,,, -c58cdcc3-f2eb-4959-94ae-e850f32fa86b,237206036,Magna International,Mechanical Millwright,on_site,"Milton, ONTARIO, CA, L9T 4Z7",2023-06-17T16:04:04.507Z,"
        -
        -

        Role Summary

        -

        The Mechanical Millwright is primarily responsible to service, maintain and test production equipment. This position will support production by trouble shooting problems, making repairs and system improvements (optimization).

        -
        -
        -

        Skills and Competencies

        -
        • Excellent written and verbal communication skills.
        • Excellent mathematical, analytical and organizational skills
        • Able to perform various computer functions (Microsoft Office, Production Software)
        • Able to safely operate all Material Handling Equipment (Forklift, crane, buggy) in assigned area of responsibility
        • Experience in hydraulics and pneumatics
        • Able to operate a variety of machine tools, i.e. tig/mig/arc welders, lathes, milling machines, hand tools, etc.
        • -
        -
        -
        -

        Key Responsibilities

        -
        1. Maintain safety standards of equipment and work area and perform all duties in a safe manner in accordance with the safety policies of Karmax.
        2. Perform all duties in a safe manner in accordance with Section 28 of the Occupational Health & Safety Act and Regulations for Industrial Establishments.
        3. Follow Magna’s Code of Conduct and Ethics and related compliance policies.
        4. Assembles and installs new equipment and machines and is able to make modifications to existing equipment as requested.
        5. Carries out preventative maintenance procedures on mechanical equipment as laid out by the manufacturer’s specifications.
        6. Coordinate activities of co-op students, apprentices, helpers and assigned contractors.
        7. Assists in developing and/or updating Preventive Maintenance procedures.
        8. Perform all duties in an environmentally responsible manner in accordance with the Karmax Environmental Policy Statement—3 P’s. Prevent Pollution, Preserve Natural Resources & Protect our Environment
        9. Perform other duties as required.
        10. -
        -
        -
        -

        Key Qualifications/Requirements

        -
        • Grade 12 Education or GED
        • Certificate of Qualification Industrial Mechanic (Millwright) 433
        • -
        -
        -
        -

        Awareness. Unity. Empowerment.

        -

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

        -
        -
        ",,https://jobs.magna.com/job/Mechanical-Millwright/567803617/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-17T16:04:04.508Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206036-mechanical-millwright-at-magna-international,https://jobs.magna.com/job/Mechanical-Millwright/567803617/,draft,2023-06-17T16:04:04.507Z,import-xml-feed:Scrapy-Scraper,,,,,,, -435a877e-029f-4d48-bb43-6f30d9044a8a,237206035,Magna International,Manufacturing Technician - Production,on_site,"Milton, ONTARIO, CA, L9T 4Z7",2023-06-17T16:04:04.318Z,"
        -
        -

        Role Summary

        -

        The Manufacturing Technician--Production is primarily responsible for the production, loading, and inspection of automotive parts. The individual will work in a safe manner and maintain a clean work environment.

        -
        -
        -

        Key Responsibilities

        -
        • Maintain safety standards of equipment and work area and perform all duties in a safe manner in accordance with the safety policies of Karmax.
        • Perform all duties in a safe manner in accordance with Section 28 of the Occupational Health & Safety Act and Regulations for Industrial Establishments. -
        • Follow Magna’s Code of Conduct and Ethics and related compliance policies.
        • Safely operates production equipment using palm buttons, light curtains and safety mats and performs all duties in a safe manner in accordance with the safety policies of Karmax.
        • Perform all duties in a manner that contributes to Karmax Heavy Stamping’s goal of providing a Quality Product at Competitive Price using the TLCQQ procedure.
        • Performs general equipment maintenance functions such as cleaning and basic mechanical and safety checks. * Perform all duties in an environmentally responsible manner in accordance with the Karmax Environmental Policy Statement—3 P’s. Prevent Pollution, Preserve Natural Resources & Protect our Environment
        • -
        -
        -
        -

        Key Qualifications/Requirements

        -
        • Ability to understand/follow Written and Verbal Work Instructions
        • Good mathematical, analytical and organizational skills
        • Able to perform basic computer functions
        • -
        -
        -
        -

        Additional Information

        -
        -
        • Must be able to work in various locations within and outside the Manufacturing Plant.
        • Must be able to work Rotating Shifts & Weekend Overtime to meet Customer Requirements.
        • Lifting up to 20 kgs
        • Frequent and Repetitive lifting/motions (cycle time)
        • Exposed regularly to elements such as temperature and noise
        • -
        -

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

        -
        -
        -
        -

        Awareness. Unity. Empowerment.

        -

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

        -
        -
        ",,https://jobs.magna.com/job/Manufacturing-Technician-Production/570415017/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-17T16:04:04.319Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206035-manufacturing-technician-production-at-magna-international,https://jobs.magna.com/job/Manufacturing-Technician-Production/570415017/,draft,2023-06-17T16:04:04.318Z,import-xml-feed:Scrapy-Scraper,,,,,,, -e768cee7-4675-4083-bfc8-9bf579b79839,238529774,Scotiabank,"Manager, Integrated Systems Solutions",on_site,Canada : Ontario : Toronto,2023-06-22T15:52:03.448Z,"

        -

        -

        -

        -

        Requisition ID: 179768

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

        -

        -

        Job Purpose:

        -

        The Manager, Integrated Systems Solutions is responsible for the management of Automotive Finance (AF) Data Mart used for manufacturer subvention invoicing, manufacturer reporting, AF management reporting, profit planning and forecasting, and pricing. This includes the development, implementation, and ongoing management of all AF databases and data related processes as well as the ongoing analysis and evaluation of AF data mart to determine opportunities for enhanced operational efficiency, new functionality and improved customer satisfaction for all invoicing, reporting, and planning activities. Additionally, the manager will ensure data integrity, help respond to data requests and support other team members on management reporting and business analytics.

        -

        -

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

        -
        • Manages the comprehensive review, analysis and evaluation of AF Data Mart and all processes associated with the business line data, highlighting significant trends and developments and their potential impact on the business line and coordinates with IT&S on operational issues.
        • Manages the manufacturer subvention invoicing process for all Indirect Auto Manufacturer partners: • Develops, implements, and manages the process of processing billing records and generating invoices and flat files for the manufacturer partners. • Provides advice, recommendations and support to AF team members with regards to issues and opportunities related to manufacturer subvention invoicing process.
        • Responds to ad-hoc data requests for reports and statistics for all AF stakeholders as well as manages regular reporting to manufacturers and other needs of the AF Head Office. Manages requests for enhancements to regular daily, weekly, and monthly reports (buying statistics, Loyalty Program, daily/monthly/YTD bookings, etc.) and invoicing processes for all stakeholders, including development, implementation, and ongoing management of AF databases, systems, processes, and report templates used to generate the manufacturer reports based on the requirements from the AF manufacturer partners.
        • Manages data extraction and data preparation processes for product pricing, AF management reporting, profit planning, and forecasting; works with AF Information Technology partners (EDL and IT&S) to ensure that all required data is correctly captured in the source systems and uploaded into the AF Data Mart.
        • Ensures integrity of data used for manufacturer subvention invoicing, manufacturer reporting, AF management reporting, profit planning and forecasting, by reconciling data sources and developing quality checks as part of the invoicing and reporting development process.
        • Prepares business requirements for the development of software solutions that meet AF short-, medium-, and long-term business needs for invoicing and reporting processes for manufacturer programs and other AF retail and commercial products. Participates in the implementation of developed solutions within AF. Provides recommendations to the Senior Manager, Business Intelligence and Information Systems on issues pertaining to development and implementation of IT solutions.
        • Supports implementation and maintenance of Business Intelligence analytics and reporting solutions for various user groups within and outside AF, fully leveraging various platforms (Tableau, Power BI, Python, etc.)
        • -
        -

        -

        -

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

        -
        • 3-5 years of experience in information systems management, data analytics, software development or similar field, preferably in the financial or related industry
        • Strong working knowledge of Microsoft Access, SQL, Apache Hive and Excel is required
        • Knowledge of data management, aggregation, and analysis techniques
        • Understanding of systems modelling and development methodologies, databases, query structure, data structure and data extraction.
        • A deep understanding of Automotive Finance’s structure, information systems and strategies, coupled with strong relationships across the network will be an asset
        • Solid knowledge and experience in Power BI / Tableau will be an asset
        • University degree in computer science, engineering, business or similar field is required
        • Master’s degree in aforementioned fields preferred
        • -
        -

        -

        What’s in it for you?

        -
        • An inclusive & collaborative working environment that encourages creativity, curiosity, and celebrates success!
        • We offer a competitive rewards package: Performance bonus, Employee Share Ownership Program, and Pension Plan Matching, Health Benefits from day one!
        • Your career matters! You will have access to career development and progression opportunities.
        • -
        -

        -

        #scotiafinancejobs

        -

        -

        Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/Manager%2C-Integrated-Systems-Solutions/571429817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-22T15:52:03.456Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/238529774-manager-integrated-systems-solutions-at-scotiabank,https://jobs.scotiabank.com/job/Manager%2C-Integrated-Systems-Solutions/571429817/,draft,2023-06-22T15:52:03.448Z,import-xml-feed:Scotiabank,,,,,,, -a29c727c-77f7-4eb9-96bb-d62cab23d2fa,237206025,Magna International,Programmer Analyst,on_site,"St. Thomas, ONTARIO, CA, N5P 1G6",2023-06-17T16:04:02.538Z,"
        -
        -

        Role Summary

        -

        The Programmer Analyst’s role is to define, develop, test, analyze, and maintain new software applications in support of the achievement of business requirements. This includes writing, coding, testing, and analyzing software programs and applications. The Programmer Analyst will also research, design, document, and modify software specifications throughout the production life cycle. The individual will apply proven communication, analytical and problem solving skills to help identify, communicate and resolve systems issues in order to maximize and continually improve Formet’s Information Systems.

        -
        -
        -

        Key Qualifications/Requirements

        -
        • College diploma or university degree in the field of computer science, information systems, or software engineering, and/or equivalent work experience.
        • Experienced with various development technologies.
        • Experience interviewing end-users for insight on functionality, interface, problems, and/or usability issues.
        • Experience developing test cases and test plans
        • -
        -
        -
        -

        Key Responsibilities

        -
        • Perform all duties and promote themselves in a manner that reflects Formet Expectations and Formet’s Visions/Values through Magna’s Employee Charter.
        • Follow and abide by all government, Legal, Magna and Formet rules and regulations.
        • Contribute to continuous improvement and cost reduction activities.
        • Maintain extremely high ethical standards regarding all sensitive data that you may be exposed to.
        • Continuously challenge past practices by actively exploring and implementing new solutions and methodologies to improve the quality and time to market of our product and services to the company.
        • Produce a top quality product on time and ensure that it meets or exceeds our customer’s needs. Collaborate with developers, programmers, and designers in conceptualizing and development of new software programs and applications.
        • Liaise with Systems Analysts, and Systems Engineers to assist in resolving problems with software products or company software systems.
        • Analyze and assess existing business systems and procedures.
        • Assist in the definition, development, and documentation of software’s business requirements, objectives, deliverables, and specifications on a project-by-project basis in collaboration with internal users and departments.
        • Assist in defining software development project plans, including scoping, scheduling, and implementation.
        • Research, identify, analyze, and fulfill requirements of all internal and external program users.
        • Consistently write, translate, and code software programs and applications according to specifications.
        • Write programming scripts to enhance functionality and/or performance of company applications as necessary.
        • Design, run and monitor software performance tests on new and existing programs for the purposes of correcting errors, isolating areas for improvement, and general debugging.
        • Administer critical analysis of test results and deliver solutions to problem areas.
        • Generate statistics and write reports for management and/or team members on the status of the programming process.
        • Develop and maintain user manuals and guidelines.
        • Train end users to operate new or modified programs.
        • Conduct research on emerging application development software products, languages, and standards in support of procurement and development efforts.
        • Liaise with vendors for efficient implementation of new software products or systems and for resolution of any adaptation issues.
        • Recommend, schedule, and perform software improvements and upgrades.
        • Install software products for end users as required.
        • Manage and/or provide guidance to junior team members.
        • Support continuous improvement through idea generation and application development.
        • Fully utilize the departmental Helpdesk Application by diligently adhering to project dates.
        • Communicate effectively with non-technical staff and with members of interdisciplinary teams.
        • Flex and adapt in regard to learning and understanding new technologies.
        • Conduct research into software-related issues and products.
        • Prioritize and execute tasks in a high-pressure environment.
        • Perform other duties as designated
        • -
        -
        -
        -

        Additional Information

        -

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

        -
        -
        -

        Awareness. Unity. Empowerment.

        -

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

        -
        -
        ",,https://jobs.magna.com/job/Programmer-Analyst/563112017/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-17T16:04:02.539Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/237206025-programmer-analyst-at-magna-international,https://jobs.magna.com/job/Programmer-Analyst/563112017/,draft,2023-06-17T16:04:02.538Z,import-xml-feed:Scrapy-Scraper,,,,,,, -f1614803-a87a-4234-b87f-f7a311735750,242608272,EllisDon,IT Service Delivery Field Technician,on_site,"Mississauga, ON L4Y1M4, CAN Mississauga, ON L4Y1M4, CAN",2023-07-03T16:04:04.411Z,"

        Job Details

        Description

        -

        Connect with us LinkedIn, Instagram, Facebook, Twitter

        -

        Do you want to build the software that builds cities?

        -

        EllisDon’s construction technology team is made up of Full-Stack Developers, Data Analysts, UX Designers, Product Owners, IT Operations and we’re growing fast! Our team also includes some of the best digital modelers and BIM specialists in the industry, experts who are working with the latest tech on projects in the billions of dollars.

        -

        We are a software development studio of 140+ people, backed by one of Canada’s top construction firms, with over 70 years in the industry and completing over $5 billion of work each year. We build software that is solving real-world problems on some of Canada’s largest construction projects.

        -

        Above all, we at EllisDon work hard to deliver great careers to one another. We choose to celebrate the strength in our differences, every day. EllisDon’s commitment to Inclusive Diversity is to work together to create an environment where every employee feels safe to be their true and authentic self. Ultimately, EllisDon’s purpose is to provide people with similar values the opportunity to achieve their full potential; to deliver that opportunity for great careers to one another; and to contribute meaningfully to the community we share with others.

        -

        In case you’re curious, here’s what the industry thinks of us and some of the impacts we've made to the communities we work in.

        -

        You as an IT Service Delivery Field Technician will:

        -
          -
        • Champion the Digital & Data Engineering message to the business
        • -
        • Provide 2nd level support for hardware, software, and network problems reported, documenting problems and solutions as required. Assist in 1st level support when required. Liaise with and participate in solving 3rd level complex or unsolved problems.
        • -
        • Manages, supports, and ensures operating viability of LAN and WAN both wired and wireless for all hours of operation, and reports any abnormalities. Ensure the 24/​7 availability and performance of the servers and network that support our systems, including some “on-call” responsibilities.
        • -
        • Project Management duties, including determining business requirements, obtaining quotes from vendors to meet business requirements for new construction site setups. Project deployment duties, including firewall, switch, server, and Lotus Domino setup and configuration.
        • -
        • Follow and maintain EllisDon IT policies, documentation, and best practices guidelines.
        • -
        • Follow EllisDon IT Security best practices and guidelines.
        • -
        • Maintain records within ServiceNow.
        • -
        • Coordinate IT services and support for jobsites
        • -
        • Assist on corporate network maintenance tasks when required

          -
        • -
        -

        Is this the right role for you?

        -
          -
        • You have a post-secondary degree/diploma in a related field and a minimum 4 years hands-on experience supporting Enterprise Firewalls & Windows systems, including troubleshooting advanced issues
        • -
        • CCNA certification (R&S, Security, or Wireless) is desired
        • -
        • Solid understanding of LAN, WAN, TCP/IP, Ethernet
        • -
        • Valid driver's license, and personal vehicle to coordinate IT services and support on jobsites
        • -
        -

        -

        EllisDon is proud to provide this unique career opportunity that provides continuous learning, opportunity for growth, and a competitive compensation package within an environment that is committed to inclusion and respects diversity.

        -

        Go ahead and be yourself. We'll pay you for it!

        -

        We are an equal opportunity employer. We welcome people of any age, culture, subculture, gender identity or expression, sexual orientation, nationality, ethnicity, race, size, mental or physical status, veteran status, religion, language, political opinion, working-style preference, family status, education, and socio-economic status. The EllisDon core values of Integrity and Mutual Respect welcomes everyone, at work and in the community, and our value of Mutual Accountability, means that we all have a role to play. As an EllisDon employee, this will ultimately be your commitment to Inclusive Diversity.

        -

        Accommodation for Applicants with disabilities will be made during the recruitment process when requested.

        -

        We are committed to providing a positive candidate experience and ensuring timely updates are provided to all candidates. If you haven’t already, be sure to create a profile on our Careers page here to remain up to date on the status of your application and learn about new career opportunities as they arise.

        Qualifications

        Skills

        Behaviors

        :

        Motivations

        :

        Education

        Experience

        Licenses & Certifications

        ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=ca938f76-1a77-489c-b984-1d908c4d6378,feed-importer@jobboard.io,,,,2023-08-02T16:04:04.411Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/242608272-it-service-delivery-field-technician-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=ca938f76-1a77-489c-b984-1d908c4d6378,draft,2023-07-03T16:04:04.411Z,import-xml-feed:Scrapy-Scraper,,,,,,, +

        Posting End Date:

        18/06/2023
        ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Director--Transformation_JR00077103-2?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-07-05T02:20:02.217Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/236959717-director-transformation-at-sun-life-financial,,draft,2023-06-17T02:15:01.716Z,import-xml-feed:Sunlife-Job-Feed,,,,,,, 3d11cae1-3285-46d7-a045-cf118c347fbb,242607504,Scotiabank,Senior Manager - IT PMO Analytics,on_site,Canada : Ontario : Toronto,2023-07-03T15:52:03.815Z,"

        @@ -2036,7 +5105,7 @@ f1614803-a87a-4234-b87f-f7a311735750,242608272,EllisDon,IT Service Delivery Fiel

        #LI-Hybrid

        #scotiatech

        -

        Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager-IT-PMO-Analytics-ON-M5H1H1/571825017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-02T15:52:03.825Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/242607504-senior-manager-it-pmo-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager-IT-PMO-Analytics-ON-M5H1H1/571825017/,draft,2023-07-03T15:52:03.815Z,import-xml-feed:Scotiabank,,,,,,, +

        Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager-IT-PMO-Analytics-ON-M5H1H1/571825017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-10T15:57:04.542Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/242607504-senior-manager-it-pmo-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager-IT-PMO-Analytics-ON-M5H1H1/571825017/,draft,2023-07-03T15:52:03.815Z,import-xml-feed:Scotiabank,,,,,,, 208c59fe-1fb1-45ab-9639-92ceab8c07b2,242607510,Scotiabank,"Business Systems Analyst, PowerBi - Hybrid",on_site,Canada : Ontario : Toronto,2023-07-03T15:52:04.695Z,"

        @@ -2060,191 +5129,219 @@ f1614803-a87a-4234-b87f-f7a311735750,242608272,EllisDon,IT Service Delivery Fiel

        #CapitalMarketTech

        #ScotiaTechnology

        -

        Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/Business-Systems-Analyst%2C-PowerBi-Hybrid/568949417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-02T15:52:04.707Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/242607510-business-systems-analyst-powerbi-hybrid-at-scotiabank,https://jobs.scotiabank.com/job/Business-Systems-Analyst%2C-PowerBi-Hybrid/568949417/,draft,2023-07-03T15:52:04.695Z,import-xml-feed:Scotiabank,,,,,,, -c88a819e-c05f-4886-a09c-485ca6514ed5,242607512,Scotiabank,"Senior Manager, Product Owner Compliance Systems - Global Compliance",on_site,Canada : Ontario : Toronto,2023-07-03T15:52:04.901Z,"

        -

        -

        -

        -

        Requisition ID: 179994

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

        -

        -
        -

        Purpose

        Contributes to the overall success of Scotiabank’s Global Compliance Data, Analytics and Technology Enablement unit, ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives and all activities are conducted in compliance with governing regulations, internal policies and procedures.

        The Senior Manager, Product Owner Compliance Systems drives consistency across the Bank’s GRC technology solutions through aligned and simplified processes, increased automation and integrated technology solutions to provide a holistic view of key factors for risk management and executive decision making.

        Accountabilities

        • -Manage and oversee one or more of the Transactional GRC Systems (such as OpenPages / Enterprise Case Management-ECM Oracle / ClauseMatch / Compliance data bases) to drive customer satisfaction and proper risk management, by:
          • Collaborating with the Technology and Business teams to understand and articulate the product vision, customer impacts, stakeholders value, system dependencies and technological processes.
          • Drive problem solving of complex issues through in-depth research, identifying options and evaluating against strategic and execution criteria to recommend a proposed approach
          • Facilitates communication and coordinate across multi-disciplined teams; clearly and effectively define and communicate complex problems that are specifically tailored to audiences from stakeholders to senior management.
          • Provide subject matter expertise and thought leadership to partners as required
        • Work closely with project team(s) and stakeholders to maintain focus driving progress towards further process simplification, supported by technology tools and based on sound data and analytics
        • Partner with Change Management team to develop and execute on adoption strategy and continuous enhancement of training materials
        • Create process lifecycle documentation (functional requirements, system development milestones, user test, deployment roadmap) related to OpenPages / ClauseMatch / ECM and other systems, simplification or innovation initiatives, including end-to-end process map
        • Champion automation and technology adoption to solve or optimize compliance directives, participating in new services and solutions design and development and though leadership initiatives
        • Be actively involved in the preparation, conception, realization and Go Live of implementation projects
        • Ensure products are performing as expected and resolving issues that arise in a timely manner with updates to partners and escalations to management as required
        • Supports Director, GRC Systems with ad-hoc data analysis, problems solving, and project execution in order to support the overall Data and Analytics and Technology Enablement team
        • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions
        • Actively pursues effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
        • Champions a high-performance environment and contributes to an inclusive work environment.
        • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge

        Education/Experience

        • Education, Information technology /Business Management
        • IBM OpenPages / GRC certification
        • 5+ years leading and building high performance teams
        • Knowledge of the Bank's application systems and their relationships within the Bank is an asset
        • Regulatory Compliance, Audit or Internal Controls role in a large Financial Institution experience
        • Experience working in an Agile environment is an asset
        • Spanish speaking is an asset
        • Passion for innovation coupled with positive attitude, thirst for knowledge, team oriented, pragmatic
        • Proven ability to develop creative, human-centered solutions which balance end-user experience, total cost of ownership, complexity, and speed to market
        • Strong organizational skills an asset
        • Strong technical competency an asset
        -

        -

        Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/Senior-Manager%2C-Product-Owner-Compliance-Systems-Global-Compliance/571504117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-02T15:52:04.912Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/242607512-senior-manager-product-owner-compliance-systems-global-compliance-at-scotiabank,https://jobs.scotiabank.com/job/Senior-Manager%2C-Product-Owner-Compliance-Systems-Global-Compliance/571504117/,draft,2023-07-03T15:52:04.901Z,import-xml-feed:Scotiabank,,,,,,, -ae20d4d1-81ca-4d9e-b445-23087290f688,239887326,Scotiabank,"Senior Manager, Pricing, Product & Business Analytics",on_site,Canada : Ontario : Toronto,2023-06-26T15:52:02.437Z,"

        -

        -

        -

        -

        Requisition ID: 180257

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

        -

        -

        Purpose

        -

        -

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

        -

        -

        -

        -

        Accountabilities

        -

        -

        • Product and pricing owner of Automotive Finance’s non-subvented strategy by proactively managing margin and growing revenue within prime retail loans through originations while managing the product and achieving NIM and ROAC profit plans.

        -

        -

        • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

        -

        -

        • In partnership with the Director, Manufacturer Partnerships and with the Sales Leaders across Canada, the incumbent to develops recommendations/strategies and manages end-to-end pricing for Automotive Finance’s non-subvented business for Auto Dealer, RV, Marine, Leisure& Motorcycle. This involves a high degree of analysis, presenting to executives and managing day-to-day pricing needs with Dealer Finance Centres. He/She directly contributes to the business unit’s strategic planning and profitable revenue growth and is responsible to ensure the Bank is competitively positioned to meet the rapidly changing current and future needs of the market.

        -

        -

        • Manages and executes product launches end-to-end for Auto Dealer, RV, Marine, Leisure & Motorcycle including product strategy and pricing. The incumbent has responsibility for ongoing market scoping and analysis, identifying market opportunities that lead to new product and program development, and will be the business lead for the management of complex project/programs as directed. This includes submission of NIRA’s and working with multiple stakeholders across the bank including legal, GRM, Operations, etc.

        -

        -

        • Maintaining retail customer engagement and third-party vendor management by documenting key business requirements related to potential opportunities, preparing proposals, developing and implementing action plans and strategies and designing and recommending enhancements to existing products to maximize value to the business and the client/dealer.

        -

        -

        • Engaging in strategic project management by collaborating with the Director, GRM and Finance & Accounting in the development of pricing, profitability and sensitivity models to ensure proper risk analysis and to aid in the development of product concepts and proposals. While also participating in the creation of innovative product solutions that will continually redefine the market standard to support the Marketing & Sales leadership team, with a strong focus on digital direct product execution and delivery.

        -

        -

        • Provide ongoing insight of sales analysis onbookings, pricing,portfolio trends, credit and other information that will support the executive evaluation for business decisions in Automotive Finance. This insight is not limited to the non-subvented portfolio but includes supporting analysis on the subvented and individual OEM book of business. The incumbent is a critical resource for the Sales Leaders across Canada as well as the Relationship Managers within the Manufacturer Partnerships Team as he/she is expected to support sales events, quarterly business reviews with partners and any ad hoc business related problems or opportunities that have been identified. The output of this person is not limited to insights and should include recommendations and solutions in the recommendations.

        -

        -

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

        -

        -

        • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

        -

        -

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

        -

        -

        • At some point, this role may have direct reports that will take on pure data/analytics functions in order for the Senior Manager to continue to add value and contribute on strategic initiatives and growth plans.

        -

        -

        -

        -

        Education / Experience / Other Information

        -

        -

        • 5+ years of experience working with data, analytics, business development and enterprise sales analysis

        -

        • 2+ years of experience working with a sales team

        -

        • Skilled in reviewing data and developing recommendations (qualitative/quantitative data to drive desired behaviour)

        -

        • In-depth knowledge of business related computer software specifically Tableau, Excel, PowerPoint and Word (data import/export).

        -

        • Strong communicator and proven ability to work with executives on strategic initiatives and collaboratively across multiple teams.

        -

        • Post-secondary degree in Business

        -

        +

        Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/Business-Systems-Analyst%2C-PowerBi-Hybrid/568949417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-17T15:57:03.994Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/242607510-business-systems-analyst-powerbi-hybrid-at-scotiabank,https://jobs.scotiabank.com/job/Business-Systems-Analyst%2C-PowerBi-Hybrid/568949417/,draft,2023-07-03T15:52:04.695Z,import-xml-feed:Scotiabank,,,,,,, +f1614803-a87a-4234-b87f-f7a311735750,242608272,EllisDon,IT Service Delivery Field Technician,on_site,"Mississauga, ON L4Y1M4, CAN Mississauga, ON L4Y1M4, CAN",2023-07-03T16:04:04.411Z,"

        Job Details

        Description

        +

        Connect with us LinkedIn, Instagram, Facebook, Twitter

        +

        Do you want to build the software that builds cities?

        +

        EllisDon’s construction technology team is made up of Full-Stack Developers, Data Analysts, UX Designers, Product Owners, IT Operations and we’re growing fast! Our team also includes some of the best digital modelers and BIM specialists in the industry, experts who are working with the latest tech on projects in the billions of dollars.

        +

        We are a software development studio of 140+ people, backed by one of Canada’s top construction firms, with over 70 years in the industry and completing over $5 billion of work each year. We build software that is solving real-world problems on some of Canada’s largest construction projects.

        +

        Above all, we at EllisDon work hard to deliver great careers to one another. We choose to celebrate the strength in our differences, every day. EllisDon’s commitment to Inclusive Diversity is to work together to create an environment where every employee feels safe to be their true and authentic self. Ultimately, EllisDon’s purpose is to provide people with similar values the opportunity to achieve their full potential; to deliver that opportunity for great careers to one another; and to contribute meaningfully to the community we share with others.

        +

        In case you’re curious, here’s what the industry thinks of us and some of the impacts we've made to the communities we work in.

        +

        You as an IT Service Delivery Field Technician will:

        +
          +
        • Champion the Digital & Data Engineering message to the business
        • +
        • Provide 2nd level support for hardware, software, and network problems reported, documenting problems and solutions as required. Assist in 1st level support when required. Liaise with and participate in solving 3rd level complex or unsolved problems.
        • +
        • Manages, supports, and ensures operating viability of LAN and WAN both wired and wireless for all hours of operation, and reports any abnormalities. Ensure the 24/​7 availability and performance of the servers and network that support our systems, including some “on-call” responsibilities.
        • +
        • Project Management duties, including determining business requirements, obtaining quotes from vendors to meet business requirements for new construction site setups. Project deployment duties, including firewall, switch, server, and Lotus Domino setup and configuration.
        • +
        • Follow and maintain EllisDon IT policies, documentation, and best practices guidelines.
        • +
        • Follow EllisDon IT Security best practices and guidelines.
        • +
        • Maintain records within ServiceNow.
        • +
        • Coordinate IT services and support for jobsites
        • +
        • Assist on corporate network maintenance tasks when required

          +
        • +
        +

        Is this the right role for you?

        +
          +
        • You have a post-secondary degree/diploma in a related field and a minimum 4 years hands-on experience supporting Enterprise Firewalls & Windows systems, including troubleshooting advanced issues
        • +
        • CCNA certification (R&S, Security, or Wireless) is desired
        • +
        • Solid understanding of LAN, WAN, TCP/IP, Ethernet
        • +
        • Valid driver's license, and personal vehicle to coordinate IT services and support on jobsites
        • +

        -

        The following would be an asset but not required

        +

        EllisDon is proud to provide this unique career opportunity that provides continuous learning, opportunity for growth, and a competitive compensation package within an environment that is committed to inclusion and respects diversity.

        +

        Go ahead and be yourself. We'll pay you for it!

        +

        We are an equal opportunity employer. We welcome people of any age, culture, subculture, gender identity or expression, sexual orientation, nationality, ethnicity, race, size, mental or physical status, veteran status, religion, language, political opinion, working-style preference, family status, education, and socio-economic status. The EllisDon core values of Integrity and Mutual Respect welcomes everyone, at work and in the community, and our value of Mutual Accountability, means that we all have a role to play. As an EllisDon employee, this will ultimately be your commitment to Inclusive Diversity.

        +

        Accommodation for Applicants with disabilities will be made during the recruitment process when requested.

        +

        We are committed to providing a positive candidate experience and ensuring timely updates are provided to all candidates. If you haven’t already, be sure to create a profile on our Careers page here to remain up to date on the status of your application and learn about new career opportunities as they arise.

        Qualifications

        Skills

        Behaviors

        :

        Motivations

        :

        Education

        Experience

        Licenses & Certifications

        ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=ca938f76-1a77-489c-b984-1d908c4d6378,feed-importer@jobboard.io,,,,2023-08-02T16:04:04.411Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/242608272-it-service-delivery-field-technician-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=ca938f76-1a77-489c-b984-1d908c4d6378,draft,2023-07-03T16:04:04.411Z,import-xml-feed:Scrapy-Scraper,,,,,,, +a29c727c-77f7-4eb9-96bb-d62cab23d2fa,237206025,Magna International,Programmer Analyst,on_site,"St. Thomas, ONTARIO, CA, N5P 1G6",2023-06-17T16:04:02.538Z,"
        +
        +

        Role Summary

        +

        The Programmer Analyst’s role is to define, develop, test, analyze, and maintain new software applications in support of the achievement of business requirements. This includes writing, coding, testing, and analyzing software programs and applications. The Programmer Analyst will also research, design, document, and modify software specifications throughout the production life cycle. The individual will apply proven communication, analytical and problem solving skills to help identify, communicate and resolve systems issues in order to maximize and continually improve Formet’s Information Systems.

        +
        +
        +

        Key Qualifications/Requirements

        +
        • College diploma or university degree in the field of computer science, information systems, or software engineering, and/or equivalent work experience.
        • Experienced with various development technologies.
        • Experience interviewing end-users for insight on functionality, interface, problems, and/or usability issues.
        • Experience developing test cases and test plans
        • +
        +
        +
        +

        Key Responsibilities

        +
        • Perform all duties and promote themselves in a manner that reflects Formet Expectations and Formet’s Visions/Values through Magna’s Employee Charter.
        • Follow and abide by all government, Legal, Magna and Formet rules and regulations.
        • Contribute to continuous improvement and cost reduction activities.
        • Maintain extremely high ethical standards regarding all sensitive data that you may be exposed to.
        • Continuously challenge past practices by actively exploring and implementing new solutions and methodologies to improve the quality and time to market of our product and services to the company.
        • Produce a top quality product on time and ensure that it meets or exceeds our customer’s needs. Collaborate with developers, programmers, and designers in conceptualizing and development of new software programs and applications.
        • Liaise with Systems Analysts, and Systems Engineers to assist in resolving problems with software products or company software systems.
        • Analyze and assess existing business systems and procedures.
        • Assist in the definition, development, and documentation of software’s business requirements, objectives, deliverables, and specifications on a project-by-project basis in collaboration with internal users and departments.
        • Assist in defining software development project plans, including scoping, scheduling, and implementation.
        • Research, identify, analyze, and fulfill requirements of all internal and external program users.
        • Consistently write, translate, and code software programs and applications according to specifications.
        • Write programming scripts to enhance functionality and/or performance of company applications as necessary.
        • Design, run and monitor software performance tests on new and existing programs for the purposes of correcting errors, isolating areas for improvement, and general debugging.
        • Administer critical analysis of test results and deliver solutions to problem areas.
        • Generate statistics and write reports for management and/or team members on the status of the programming process.
        • Develop and maintain user manuals and guidelines.
        • Train end users to operate new or modified programs.
        • Conduct research on emerging application development software products, languages, and standards in support of procurement and development efforts.
        • Liaise with vendors for efficient implementation of new software products or systems and for resolution of any adaptation issues.
        • Recommend, schedule, and perform software improvements and upgrades.
        • Install software products for end users as required.
        • Manage and/or provide guidance to junior team members.
        • Support continuous improvement through idea generation and application development.
        • Fully utilize the departmental Helpdesk Application by diligently adhering to project dates.
        • Communicate effectively with non-technical staff and with members of interdisciplinary teams.
        • Flex and adapt in regard to learning and understanding new technologies.
        • Conduct research into software-related issues and products.
        • Prioritize and execute tasks in a high-pressure environment.
        • Perform other duties as designated
        • +
        +
        +
        +

        Additional Information

        +

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

        +
        +
        +

        Awareness. Unity. Empowerment.

        +

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

        +
        +
        ",,https://jobs.magna.com/job/Programmer-Analyst/563112017/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-17T16:04:02.539Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/237206025-programmer-analyst-at-magna-international,https://jobs.magna.com/job/Programmer-Analyst/563112017/,draft,2023-06-17T16:04:02.538Z,import-xml-feed:Scrapy-Scraper,,,,,,, +435a877e-029f-4d48-bb43-6f30d9044a8a,237206035,Magna International,Manufacturing Technician - Production,on_site,"Milton, ONTARIO, CA, L9T 4Z7",2023-06-17T16:04:04.318Z,"
        +
        +

        Role Summary

        +

        The Manufacturing Technician--Production is primarily responsible for the production, loading, and inspection of automotive parts. The individual will work in a safe manner and maintain a clean work environment.

        +
        +
        +

        Key Responsibilities

        +
        • Maintain safety standards of equipment and work area and perform all duties in a safe manner in accordance with the safety policies of Karmax.
        • Perform all duties in a safe manner in accordance with Section 28 of the Occupational Health & Safety Act and Regulations for Industrial Establishments. +
        • Follow Magna’s Code of Conduct and Ethics and related compliance policies.
        • Safely operates production equipment using palm buttons, light curtains and safety mats and performs all duties in a safe manner in accordance with the safety policies of Karmax.
        • Perform all duties in a manner that contributes to Karmax Heavy Stamping’s goal of providing a Quality Product at Competitive Price using the TLCQQ procedure.
        • Performs general equipment maintenance functions such as cleaning and basic mechanical and safety checks. * Perform all duties in an environmentally responsible manner in accordance with the Karmax Environmental Policy Statement—3 P’s. Prevent Pollution, Preserve Natural Resources & Protect our Environment
        • +
        +
        +
        +

        Key Qualifications/Requirements

        +
        • Ability to understand/follow Written and Verbal Work Instructions
        • Good mathematical, analytical and organizational skills
        • Able to perform basic computer functions
        • +
        +
        +
        +

        Additional Information

        +
        +
        • Must be able to work in various locations within and outside the Manufacturing Plant.
        • Must be able to work Rotating Shifts & Weekend Overtime to meet Customer Requirements.
        • Lifting up to 20 kgs
        • Frequent and Repetitive lifting/motions (cycle time)
        • Exposed regularly to elements such as temperature and noise
        • +
        +

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

        +
        +
        +
        +

        Awareness. Unity. Empowerment.

        +

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

        +
        +
        ",,https://jobs.magna.com/job/Manufacturing-Technician-Production/570415017/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-13T16:09:02.531Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206035-manufacturing-technician-production-at-magna-international,https://jobs.magna.com/job/Manufacturing-Technician-Production/570415017/,draft,2023-06-17T16:04:04.318Z,import-xml-feed:Scrapy-Scraper,,,,,,, +e768cee7-4675-4083-bfc8-9bf579b79839,238529774,Scotiabank,"Manager, Integrated Systems Solutions",on_site,Canada : Ontario : Toronto,2023-06-22T15:52:03.448Z,"

        -

        • Strong knowledge of the banking industry

        -

        • MBA/ Masters in Finance/CFA/CPA

        -

        -

        -

        Working Conditions

        -

        • Work in a standard office-based environment; non-standard hours are a common occurrence.

        +

        Requisition ID: 179768

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

        -

        Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/Senior-Manager%2C-Pricing%2C-Product-&-Business-Analytics/571554917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-26T15:52:02.445Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/239887326-senior-manager-pricing-product-business-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Senior-Manager%2C-Pricing%2C-Product-&-Business-Analytics/571554917/,draft,2023-06-26T15:52:02.437Z,import-xml-feed:Scotiabank,,,,,,, -c7c4cb41-6077-4821-be29-7cf4f79bce5a,239939846,RBC,"Manager, Fraud Research and Analytics",on_site,"Toronto, ON, Canada",2023-06-27T01:51:02.748Z,"
        -

        Come Work with Us!

        At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

        Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

        -

        Job Title

        Manager, Fraud Research and Analytics

        -

        -

        Job Description

        -

        What is the opportunity?

        -

        Fraud Management (FM) teams employ deep subject matter expertise in identifying, assessing, mitigating and controlling fraud risks for the Enterprise. Within Fraud Management, the Fraud Data Science & Analytics (FDSA) team develops and optimizes fraud detection strategies to maximize operational effectiveness and minimize client impact. The FDSA Research and Analytics function conducts analytic research into fraud issues, identifying causation and correlation, develop insights on emerging trends, gaps or systemic issues, and collaborate with Fraud Management partners to communicate results and take action.

        -

        -

        What will you do?

        -
          -
        • Identify patterns, trends and hidden causation and correlation relationships from Fraud data and advise FM SMT of emerging trends, specific gaps or systemic issues that impact the Fraud Risk of RBC
        • -
        • Collaborate with appropriate partners for action, correction, awareness and training
        • -
        • Forecast Financials and Fraud KPI’s using predictive analytics techniques and generate insights for executive decision making and communicating results through insightful visualizations, white papers, reports and presentations
        • -
        • Research business problems, develop solutions to support investigation and analysis and lead progression of analytics methodology, tools and measurement to create development templates for automation
        • -
        • Build the foundation of information in consolidated data repositories for Operations, Fraud Events, Fraud Performance and Financials
        • -
        • Provide a complete picture of the fraud landscape with drill-down capabilities for root cause analysis and deliver self-serve interactive visualizations through accessible platforms like Tableau
        • -
        • Conduct Code Reviews and develop standards for Development practices and partner with project teams to support information required for analysis of the current state
        • -
        • Deliver Project Reporting for Fraud Events, Performance, Operational and Financial KPI’s and KRI’s and Program Benefits measurements to track success criteria of the Project Business Case
        • -
        -

        -

        What do you need to succeed?

        -

        Must-have

        -
          -
        • 2+ years’ experience in a Data science and analytics
        • -
        • Advanced capability in using Python, R, PySpark, SAS, SQL and Tableau
        • -
        • Experience with Databases and Data Structures (RDBMS, Hadoop etc.)
        • -
        • Ability to apply data and analytics concepts to business problems and explain business value of data and analytics concepts
        • -
        • Ability to multi-task and prioritize and complete projects effectively and in a timely manner
        • -
        • Strong team player with a track record of collaboration and experience working as part of an agile team
        • -
        • Professional verbal and written communication and presentation skills, and ability to provide consultation, analysis, and recommendations on a broad range of projects in a deadline driven environment with ambiguity
        • +

          Job Purpose:

          +

          The Manager, Integrated Systems Solutions is responsible for the management of Automotive Finance (AF) Data Mart used for manufacturer subvention invoicing, manufacturer reporting, AF management reporting, profit planning and forecasting, and pricing. This includes the development, implementation, and ongoing management of all AF databases and data related processes as well as the ongoing analysis and evaluation of AF data mart to determine opportunities for enhanced operational efficiency, new functionality and improved customer satisfaction for all invoicing, reporting, and planning activities. Additionally, the manager will ensure data integrity, help respond to data requests and support other team members on management reporting and business analytics.

          +

          +

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

          +
          • Manages the comprehensive review, analysis and evaluation of AF Data Mart and all processes associated with the business line data, highlighting significant trends and developments and their potential impact on the business line and coordinates with IT&S on operational issues.
          • Manages the manufacturer subvention invoicing process for all Indirect Auto Manufacturer partners: • Develops, implements, and manages the process of processing billing records and generating invoices and flat files for the manufacturer partners. • Provides advice, recommendations and support to AF team members with regards to issues and opportunities related to manufacturer subvention invoicing process.
          • Responds to ad-hoc data requests for reports and statistics for all AF stakeholders as well as manages regular reporting to manufacturers and other needs of the AF Head Office. Manages requests for enhancements to regular daily, weekly, and monthly reports (buying statistics, Loyalty Program, daily/monthly/YTD bookings, etc.) and invoicing processes for all stakeholders, including development, implementation, and ongoing management of AF databases, systems, processes, and report templates used to generate the manufacturer reports based on the requirements from the AF manufacturer partners.
          • Manages data extraction and data preparation processes for product pricing, AF management reporting, profit planning, and forecasting; works with AF Information Technology partners (EDL and IT&S) to ensure that all required data is correctly captured in the source systems and uploaded into the AF Data Mart.
          • Ensures integrity of data used for manufacturer subvention invoicing, manufacturer reporting, AF management reporting, profit planning and forecasting, by reconciling data sources and developing quality checks as part of the invoicing and reporting development process.
          • Prepares business requirements for the development of software solutions that meet AF short-, medium-, and long-term business needs for invoicing and reporting processes for manufacturer programs and other AF retail and commercial products. Participates in the implementation of developed solutions within AF. Provides recommendations to the Senior Manager, Business Intelligence and Information Systems on issues pertaining to development and implementation of IT solutions.
          • Supports implementation and maintenance of Business Intelligence analytics and reporting solutions for various user groups within and outside AF, fully leveraging various platforms (Tableau, Power BI, Python, etc.)
          -

          -

          Nice-to-have

          -
            -
          • Good understanding of Canadian Financial Institutions, with a focus on Fraud/Risk Operations
          • -
          • Degree in mathematics, statistics, economics, computer science, software engineering or related quantitative field
          • +

            +

            +

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

            +
            • 3-5 years of experience in information systems management, data analytics, software development or similar field, preferably in the financial or related industry
            • Strong working knowledge of Microsoft Access, SQL, Apache Hive and Excel is required
            • Knowledge of data management, aggregation, and analysis techniques
            • Understanding of systems modelling and development methodologies, databases, query structure, data structure and data extraction.
            • A deep understanding of Automotive Finance’s structure, information systems and strategies, coupled with strong relationships across the network will be an asset
            • Solid knowledge and experience in Power BI / Tableau will be an asset
            • University degree in computer science, engineering, business or similar field is required
            • Master’s degree in aforementioned fields preferred
            -

            -

            What’s in it for you?

            -

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

            -
              -
            • Fair compensation
            • -
            • Challenging work in a fast-paced timeline driven work environment
            • -
            • Ability to make a difference and lasting impact
            • -
            • Work with a great and supportive team
            • +

              +

              What’s in it for you?

              +
              • An inclusive & collaborative working environment that encourages creativity, curiosity, and celebrates success!
              • We offer a competitive rewards package: Performance bonus, Employee Share Ownership Program, and Pension Plan Matching, Health Benefits from day one!
              • Your career matters! You will have access to career development and progression opportunities.
              -

              -

              RBC is committed to supporting flexible work arrangements when and where available. Details to be discussed with Hiring Manager.

              -

              -

              -

              -

              Job Summary

              -

              Address:

              TORONTO, Ontario, Canada

              City:

              CAN-ON-MISSISSAUGA, CAN-ON-TORONTO

              Country:

              Canada

              Work hours/week:

              37.5

              Employment Type:

              Full time

              Platform:

              Personal and Commercial Banking

              Job Type:

              Regular

              Pay Type:

              Salaried

              Posted Date:

              2023-06-08

              Application Deadline:

              2023-06-24
              -

              Inclusion and Equal Opportunity Employment

              -

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

              -
              -

              Join our Talent Community

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

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

              -
        ",,https://jobs.rbc.com/ca/en/job/R-0000061663/Manager-Fraud-Research-and-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-07-27T01:51:02.761Z,False,0,2,2,https://talenthub.vectorinstitute.ai/jobs/239939846-manager-fraud-research-and-analytics-at-rbc,,draft,2023-06-27T01:51:02.748Z,import-xml-feed:RBC-Job-Feed,,,,,,, -c00c127f-3430-4294-9d42-a32763ecd585,237206028,Magna International,Senior IT Internal Auditor,on_site,"Aurora, ONTARIO, CA, L4G 0G9",2023-06-17T16:04:02.665Z,"
        +

        +

        #scotiafinancejobs

        +

        +

        Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/Manager%2C-Integrated-Systems-Solutions/571429817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-22T15:52:03.456Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/238529774-manager-integrated-systems-solutions-at-scotiabank,https://jobs.scotiabank.com/job/Manager%2C-Integrated-Systems-Solutions/571429817/,draft,2023-06-22T15:52:03.448Z,import-xml-feed:Scotiabank,,,,,,, +c58cdcc3-f2eb-4959-94ae-e850f32fa86b,237206036,Magna International,Mechanical Millwright,on_site,"Milton, ONTARIO, CA, L9T 4Z7",2023-06-17T16:04:04.507Z,"
        +
        +

        Role Summary

        +

        The Mechanical Millwright is primarily responsible to service, maintain and test production equipment. This position will support production by trouble shooting problems, making repairs and system improvements (optimization).

        +
        +
        +

        Skills and Competencies

        +
        • Excellent written and verbal communication skills.
        • Excellent mathematical, analytical and organizational skills
        • Able to perform various computer functions (Microsoft Office, Production Software)
        • Able to safely operate all Material Handling Equipment (Forklift, crane, buggy) in assigned area of responsibility
        • Experience in hydraulics and pneumatics
        • Able to operate a variety of machine tools, i.e. tig/mig/arc welders, lathes, milling machines, hand tools, etc.
        • +
        +
        +
        +

        Key Responsibilities

        +
        1. Maintain safety standards of equipment and work area and perform all duties in a safe manner in accordance with the safety policies of Karmax.
        2. Perform all duties in a safe manner in accordance with Section 28 of the Occupational Health & Safety Act and Regulations for Industrial Establishments.
        3. Follow Magna’s Code of Conduct and Ethics and related compliance policies.
        4. Assembles and installs new equipment and machines and is able to make modifications to existing equipment as requested.
        5. Carries out preventative maintenance procedures on mechanical equipment as laid out by the manufacturer’s specifications.
        6. Coordinate activities of co-op students, apprentices, helpers and assigned contractors.
        7. Assists in developing and/or updating Preventive Maintenance procedures.
        8. Perform all duties in an environmentally responsible manner in accordance with the Karmax Environmental Policy Statement—3 P’s. Prevent Pollution, Preserve Natural Resources & Protect our Environment
        9. Perform other duties as required.
        10. +
        +
        +
        +

        Key Qualifications/Requirements

        +
        • Grade 12 Education or GED
        • Certificate of Qualification Industrial Mechanic (Millwright) 433
        • +
        +
        +
        +

        Awareness. Unity. Empowerment.

        +

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

        +
        +
        ",,https://jobs.magna.com/job/Milton-Mechanical-Millwright-ONTA-L9T-4Z7/572060817/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-17T16:04:04.508Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206036-mechanical-millwright-at-magna-international,https://jobs.magna.com/job/Milton-Mechanical-Millwright-ONTA-L9T-4Z7/572060817/,draft,2023-06-17T16:04:04.507Z,import-xml-feed:Scrapy-Scraper,,,,,,, +9c99b6dc-7c0e-4117-8f27-d5e15e55fb47,246294146,Magna International,Robot Paint Technician,on_site,"Guelph, ONTARIO, CA, N1H 1A4",2023-07-13T16:04:02.371Z,"

        Role Summary

        +

        RATE OF PAY: $31.25/hr (After Probation period) Shift:Afternoons

        -

        This position is responsible for assessing the efficiency and effectiveness of IT controls and to provide recommendations for deficiencies noted during the fieldwork. Audit testing will include following established procedures, use of automated tools and require the creation and maintenance of workpaper evidence to support work performed. This evaluation will be conducted for Magna operating divisions, R&D centers, group offices as well as corporate facilities mainly located within Europe. Regular interaction with all management levels as well as both internal and external audit team members is required

        +

        The Paint Technician’s responsibility is to ensure good paint quality and to address trouble shooting when issues with application and robots occur. Systematic control of robot spray patterns, and interface with Engineering, Application team, Production and Maintenance to optimize yields.

        +

        +

        Magna offers excellent Medical and Dental Benefits + Profit Sharing. Life insurance is available to all full-time employees along with a proactive wellness program, including on-site gym. Join our team and thrive in a culture of respect, innovation and opportunity.

        Key Responsibilities

        -

        -
        • Perform IT related, Sarbanes-Oxley and operational audits in accordance with the Institute of Internal Auditors (IIA) Professional Practices Framework
        • Test IT internal controls and assess the adequacy of the execution of associated key controls, systems and processes
        • Perform transaction and compliance testing to evaluate the existence, efficiency and effectiveness of internal control procedures and adequacy of control documentation
        • Ensure full engagement coordination with auditees and other staff
        • Perform oral and written presentations to management during and at conclusion of audits, discussing deficiencies, corrective action and improvements in internal controls. Ensure that information is presented clearly, concisely, accurately, in a logical format and in accordance with standards
        • Interview persons in areas under audit to gain understanding of how processes and the system of internal controls operate as well as prepare audit workpapers detailing each work step assigned
        • Assist in and perform special projects as assigned as well as compile and prepare special reports and presentations as required by IA Management
        • Maintain updated knowledge of rules, regulations and standards in the fields of internal audit, IT technology and related matters of interest to the department
        • -
        -

        Other Duties

        -
        • As may be assigned from time to time by Internal Audit department management
        • -
        +

        - Trouble shoot and maintain paint machinery and equipment, including calibration of bell applicators
        - Implement preventative maintenance as required
        - Observe & support production line robots, and relay observation to application team
        - Review robot movement and paint delivery parameters to improve painted part quality and paint consumption
        - Conduct root cause analysis and support the paint application team in making improvements to paint quality
        - Reset robotic failures, KV, Flow & Limits (documents all failures)
        - Ensure long term improvements to yield, customer concerns, warranty concerns & related costs
        - Review application defects & equipment downtime issues
        - Work with maintenance on spray equipment, robot control problems and continuous improvements
        - Test and evaluate new products and equipment

        +


        A Division of Magna, Polycon Industries is a World Class supplier of automotive parts. Polycon moulds, paints, assembles and sequences automotive products to OEM’s (Original Equipment Manufacturers).

        Key Qualifications/Requirements

        -
        +

        - Two year Automation and Robotics certificate required.
        - Minimum 3 - 5 years of related work experience with automated spray equipment and robots required
        - Requires knowledge of paint materials, paint delivery systems, mechanical equipment, and down draft paint applications
        - Excellent communication skills (English - spoken and written)
        - Proven critical thinking, problem solving and analytical skills

        +
        +
        +

        Additional Information

        +

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

        +
        +
        +

        Awareness. Unity. Empowerment.

        +

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

        +
        +
        ",,https://jobs.magna.com/job/Guelph-Robot-Paint-Technician-ONTA-N1H-1A4/572110517/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-08-12T16:04:02.371Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/246294146-robot-paint-technician-at-magna-international,https://jobs.magna.com/job/Guelph-Robot-Paint-Technician-ONTA-N1H-1A4/572110517/,draft,2023-07-13T16:04:02.371Z,import-xml-feed:Scrapy-Scraper,,,,,,, +07138034-51eb-4bad-8aad-2c8d33f0a646,247732321,Scotiabank,"Senior Manager, Business Development & Strategic Initiatives",on_site,Canada : Ontario : Toronto,2023-07-17T15:52:03.329Z,"

        -

        Knowledge and Education

        -
        • A BS/BA Degree, preferably majoring in Information Systems or Computer Science or related discipline
        • CISA, CIA or similar designation such as CISSP or CISM
        • -

        -

        Work Experience or Knowledge

        +

        Requisition ID: 179724

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

        -
        • Minimum of 5 years of IT related internal or external audit, or IT operation experience
        • Technical IT or development experience considered an asset
        • IT audit experience in a large public accounting firm or a corporate internal audit team considered a plus
        • Must fully understand corporate policies and procedures and furthermore abide by and practice Magna IA & IIA standards, guidelines, practices, and terminology
        • Financial and compliance audit experience considered an asset
        • -
        -

        Skills and Competencies

        +

        Purpose
        The Senior Manager, Business Development is responsible for supporting the roll-out of the International Wealth Management (IWM) strategy across the footprint. The incumbent reports to the Director of Country Relationships and Business Excellence, supporting core strategy functions, providing analysis and articulation of the IWM strategy, and delivering forward-thinking insights related to potential changes and disruption impacting IWM value proposition and competitive positioning.

        -
        • Understanding of IT audit standards and frameworks (e.g. COBIT, ISO/IEC, NIST) and data security and privacy regulations (e.g. PCI, CPNI, CCPA, HIPAA)
        • Working knowledge of IT General Controls in a variety of working environments and relevant technologies (e.g. SAP, Oracle, MS SQL databases, Windows and UNIX/LINUX platforms, Cloud computing)
        • Adept at assessing complex IT and business process environments to identify potential IT, financial, operational and compliance risks
        • Excellent process facilitation, project management, problem-solving and analytical skills
        • Strong organizational, time management, and follow up skills including the ability to handle and adjust to competing priorities to meet deadlines and commitments
        • Must be fluent in English both written and spoken while possessing German or other European language skills considered an asset
        • Highly ethical, team oriented, flexible, inquisitive, and logical with the ability to maintain objectivity, confidentiality and integrity
        • Advanced knowledge of Microsoft office products. Familiarity with SAP or similar large ERP systems along with a familiarity with automated audit tools considered an asset
        • -
        -

        Work Environment

        +

        IWM growth initiatives
        • Prepare initiative roadmaps to ensure deliverables and timelines are met & create financial models to assess future state financial benefits / costs
        • Manage multiple project workstreams, including leading problem-solving sessions, workshops and interviews with cross-functional team members and subject matter experts
        • Provides analytic support in decision-making of business initiatives and develop materials for executive discussions
        • Refresh strategy and roadmap as the industry evolves and work with internal and external stakeholders to execute initiatives
        • Support identification and due diligence of acquisitions, partnerships, and strategic alliances
        • Collaborate with the Advisor & Client Solutions team to transition strategic plans into execution
        • Formulate with the Analytics and Business Intelligence teams the KPIs related to the strategic initiatives roll-out to ensure the business remains on track with estimated benefits
        • Support the development of IWM governance model to track the roll-out of the strategy, ensuring the adequacy, and adherence to business controls and regulatory obligations

        -
        • Offsite travel must be expected at least 50%. 50-75% of this should be expected to be overnight travel depending on season. Travel changes due to unplanned demands may arise from time to time.
        • Must have the ability to travel and work in the stated regions which may include obtaining required work Visa.
        • -
        +

        Business Planning & monitoring
        • Articulate with internal and external partners, and IWM leadership, the 3-5 years strategic for IWM
        • Collaborate with Finance, PMO and other relevant stakeholders to support the planning cycle for IWM including Profit planning, SIP process, Head Office budget & allocations
        • Perform strategic and business analysis, identifying key issues and pro posing recommendations for IWM’s strategy at the market and business line level
        • Support business/markets with necessary data in the assessment of initiatives & business cases
        • Assist with strategy offsites for leadership to facilitate ongoing discussions around IWM strategy
        • Prepare materials to gain buy-in and understanding of IWM strategic objectives
        • Work with management team to communicate complex strategic and financial concepts in easy -to understand presentations
        • Prepare information for Business Reviews, GWM Executive Meetings, Country Leadership Meeting, Executive Team meetings and adhoc sessions as required

        +

        +

        Industry and customer knowledge
        • Complete competitive / business environment research and benchmarking to determine emerging issues and trends and analyze the impact/implications of those trends on IWM
        • Develop and maintain an in depth understanding of the Wealth Management industry including customer needs and trends; the regulatory environment; competitive dynamics and best practices; technology changes, and economics
        • Assess how changes in the business will impact IWM’s strategic plans and work with Senior Management, to make required adjustments.
        • Inform business investments prioritization that will position the business for future growth

        +

        +

        Analytics
        • Collaborate with multiple stakeholders across markets and business lines to develop client insights
        • Use of various tools and techniques to extract insights from data to improve client penetration and acquisition
        • Use data and models to analyze business performance and inform decision-making • Identify client opportunities and profitability across Brokerage, Private
        Banking, Asset Management, Offshore and Trust
        • Leverage internal and external data to generate new business insights helping the management team identify historical and future trends in international wealth management
        • Develop partnerships with in-country data teams to leverage additional data sources Leadership
        • Champions a high-performance team, actively seeks development opportunities, and contributes to an inclusive work environment

        +

        +

        Dimensions
        • Supports IWM Head Office as well as the following regions: PAC (Mexico, Chile, Peru and Colombia) and CCAU
        • Must be able to work independently in a fast-paced environment with multiple competing deadlines.
        • Role requires an individual who possess a high level of flexibility and adaptability.

        +

        +

        Education / Experience
        • Completed undergraduate degree in business or economics is required; an MBA is strongly preferred.
        • 5+ years of working experience, preferably in Wealth Management, Strategy, or consulting
        • Experience in Strategy development and execution
        • Proficiency in PowerPoint, ThinkCell and Excel
        • Fluency in Spanish is an asset
        • Strong communication skills, both verbal and written, and strong attention to details
        • Ability to communicate strategic and financial concepts through presentations
        • Proven track record managing multiple priorities with competing deadlines and dealing with certain levels of ambiguity
        • Proven analytical skills, conceptual thinking and systematic problem solving
        • Ability to work independently and in an agile, highly collaborative work environment.
        • Highly organized, able to meet tight deadlines and work on a project-based environment
        • Leadership skills with a proven ability to build strategic relationships and influence
        • Strong project management skills, capable of developing & executing plans

        +

        +

        Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Business-Development-&-Strategic-Initiatives-ON-M5H-0B4/571267217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-16T15:52:03.335Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/247732321-senior-manager-business-development-strategic-initiatives-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Business-Development-&-Strategic-Initiatives-ON-M5H-0B4/571267217/,draft,2023-07-17T15:52:03.329Z,import-xml-feed:Scotiabank,,,,,,, +afb9a1dd-9422-4840-83df-1f1efe0dbf25,247732676,Magna International,Programmer,on_site,"Vaughan, ONTARIO, CA, L4H 0S9",2023-07-17T16:04:02.565Z,"
        +
        +

        Qualifications

        +
        • Bachelor’s Degree or Diploma in Engineering or Computer Science or equivalent function-related training.
        • Understanding of Manufacturing Execution Systems, Warehouse Management Systems, Inventory control, and Automation.
        • Minimum 5 years related work experience in manufacturing environment.
        • Experience with SQL Server, MS-SQL queries and stored procedures, database design, networking.
        • Strong knowledge of Visual Basic, C#, .Net, Windows Forms, Web forms, MS Access, JavaScript, Power BI and Power Apps.
        • Computer literacy in business applications and knowledge of ERP systems.
        • Excellent organizational, planning, and English communication skills.
        • Exceptional analytical and creative problem-solving skills.
        • +
        +
        +

        DESIRABLE ADDITIONAL QUALIFICATIONS

        +

        • Experience with Solidat MES.
        • Experience with PLCs (Allen Bradley, Omron, Siemens), Kepware OPC Client and Server.
        • Automotive manufacturing background, preferably within Magna.
        • Experience with Intermec label printers and Zebra scanners.
        • Exposure to ERP systems such as SAP, QAD or Trans4m.
        • Automotive manufacturing experience

        -

        Additional Information

        -
        -

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

        -

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

        +

        MAIN TASKS & RESPONSIBILITIES

        +

        • Design, develop and implement applications based on customer requirements.
        • Overall responsibility for Kepware and SQL servers along with related applications.
        • Responsible for ensuring the integrity of production and shipping schedules in ERP and in related software.
        • Responsible for documenting Mytox application procedures, including communication, release verification, and updates.
        • Contribute to continuous improvement and cost reduction activities.
        • Performs all job functions abiding by the office/work standards, policies and procedures as outlines in the company handbook.
        • Performs all job functions in alignment with IATF 16949 quality management standards and ISO 14001
        • Actively participates in continuous improvement
        • Maintain 5S standards in working environment
        • Attend training based on Mytox’s internal training matrix
        • Performs all job functions in a safe, healthful and environmentally conscious manner, abiding by all health, safety and environment rules and regulations as outlined in the company handbook
        • Performs other duties as assigned or any reasonable request by management.

        +
        +

        Additional Information

        +

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

        Awareness. Unity. Empowerment.

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

        -
        ",,https://jobs.magna.com/job/Senior-IT-Internal-Auditor/570967017/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-17T16:04:02.665Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206028-senior-it-internal-auditor-at-magna-international,https://jobs.magna.com/job/Senior-IT-Internal-Auditor/570967017/,draft,2023-06-17T16:04:02.665Z,import-xml-feed:Scrapy-Scraper,,,,,,, -273211df-79ca-43ab-98bb-b605ed46e07b,237206031,Magna International,Controller,on_site,"Vaughan, ONTARIO, CA, L4K 2K1",2023-06-17T16:04:03.387Z,"
        +
        ",,https://jobs.magna.com/job/Vaughan-Programmer-ONTA-L4H-0S9/571218517/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-08-16T16:04:02.565Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/247732676-programmer-at-magna-international,https://jobs.magna.com/job/Vaughan-Programmer-ONTA-L4H-0S9/571218517/,draft,2023-07-17T16:04:02.565Z,import-xml-feed:Scrapy-Scraper,,,,,,, +cbdc4ed9-db4c-4e98-9a6c-2e1a30db43c6,247732677,Magna International,Controller,on_site,"Vaughan, ONTARIO, CA, L4H 0S9",2023-07-17T16:04:02.617Z,"

        Key Qualifications/Requirements

        • Accounting Designation (CGA, CMA, CA, MBA, etc.)
        • Minimum 5 years’ related experience
        • Minimum of 3 years Supervisory/Management experience
        • Minimum of 3 years of Manufacturing experience
        • Mathematical aptitude
        • Problem solving ability
        • Good analytical and interpersonal skills
        • General understanding of accounting principles and functions
        • People-oriented
        • Good knowledge of computer systems, application principles, and widely-used PC based programs, such as Outlook, Microsoft Office, Accpac, as well as Mytox’s MRP system and Payroll system
        • Possess excellent communication and interpersonal skills
        • Must be well organized and flexible to meet deadlines

        @@ -2296,30 +5393,129 @@ c00c127f-3430-4294-9d42-a32763ecd585,237206028,Magna International,Senior IT Int

        Awareness. Unity. Empowerment.

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

        -
        ",,https://jobs.magna.com/job/Controller/571036517/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-17T16:04:03.387Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206031-controller-at-magna-international,https://jobs.magna.com/job/Controller/571036517/,draft,2023-06-17T16:04:03.387Z,import-xml-feed:Scrapy-Scraper,,,,,,, -5eef7793-d02c-4f6e-a5bc-5a23f17f56af,237206038,Magna International,Software Engineer,on_site,"Newmarket, ONTARIO, CA, L3X 2S2",2023-06-17T16:04:04.797Z,"
        -
        -

        Role Summary

        -
        -

        Ignite Your Transformation
        For a big company, we're surprisingly entrepreneurial. Expect a collaborative and supportive atmosphere that will help you grow, both professionally and personally. We are committed to delivering success by offering our customers a truly diverse and global range of products. Step into an inclusive and dynamic team - Be part of the Magna family.

        +
        ",,https://jobs.magna.com/job/Vaughan-Controller-ONTA-L4H-0S9/571036517/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-08-16T16:04:02.617Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/247732677-controller-at-magna-international,https://jobs.magna.com/job/Vaughan-Controller-ONTA-L4H-0S9/571036517/,draft,2023-07-17T16:04:02.617Z,import-xml-feed:Scrapy-Scraper,,,,,,, +3ecf828f-8013-4580-84a9-a4fbbc6d7d3c,247786999,Avidbots,System Design Specialist,on_site,"Ontario, Canada",2023-07-18T02:18:02.567Z,"
        +

        We are looking to hire a dynamic individual to bridge the gap between the functional teams and Product teams. You will be intimately involved in all stages of the project development life cycle, responsible for driving the decomposition of product requirements into design requirements. You will work closely with the functional teams to ensure full traceability from requirements through design to verification and validation,

        +

        +

        Our teams are full of brilliant engineers and developers who you could help organize and drive towards realizing a new generation of autonomy in robotics. Here\'s where you can contribute to our team by:

        +


        +
          +
        • Working with the functional teams to ensure product specifications and project deliverables are properly documented and kept up to date so we efficiently deliver the best.
        • +
        • Managing Electrical, and Software system requirements from product inception through execution ensuring our product is exactly what the customer needs while maintaining the highest level of high tech and high quality robots.
        • +
        • Help resolve the various trade-offs required throughout development between the functional groups to make sure all our stories align and quality is maintained
        • +
        • Help maintain our risk assessment throughout the projects, understanding when a risk has been realized or can be retired and how it contributes to the safety of our robots, and the public who interact with them.
        • +
        • Drive the technical side of development projects to completion both through team coordination and hands-on tasks
        • +

        -

        Closures Technical Centre, a division of Magna International Inc., is focused on the design, development and testing of Mechatronics products for the automotive industry. We are currently looking for a Software Engineer in Newmarket, Ontario. The Software Engineer will develop, design and improve new and existing software for automotive embedded controls.

        -
        -
        +

        This position is a hybrid role based in proximity to our Kitchener-Waterloo office - we\'re open to flexible working arrangements with the successful candidate.

        +


        Requirements

        +
          +
        • Bachelors in electrical, or computer, or mechatronics engineering or similar.
        • +
        • Minimum 5+ years of hardware design experience in relevant field (Robotics, Aerospace, Automotive, etc)
        • +
        • 2-3 years of systems requirements management, and systems integration. Ideally in a regulated or standards driven industry.
        • +
        • A driven individual who is passionate about robotics, with strong leadership skills, able to motivate teams
        • +
        +
          +
        • Experience with the various tools used for requirements management
        • +
        • Understand the trade-offs required between electrical, mechanical and software disciplines
        • +
        +
          +
        • Knowledge of Dfx Analysis including a strong emphasis on DFMEA methodologies
        • +
        • Familiar with working with Service and Sustaining teams to incorporating their input into any design
        • +
        • Successfully complete pre-employment onboarding requirements that may include: criminal/civil background checks and motor vehicle records search
        • +
        +


        +

        Nice to have:

        +
          +
        • Good understanding of robots and kinematics
        • +
        • Experience working with robots or other complex electro-mechanical systems
        • +
        +
        • Understanding of functional safety requirements
        +


        About Avidbots
        At Avidbots, we believe in solving real world problems with autonomous cleaning robotic solutions to unlock humanity’s potential. Neo is our current groundbreaking autonomous floor scrubbing robot that enhances facility cleanliness around the world empowering reallocation of human capital to higher priority focuses… and we’re just getting started!

        +


        Headquartered in Kitchener, ON, Canada, we are an employee-focused organization that has been certified a Great Place to Work® consecutively for the last 4 years and one of Deloitte\'s Fast 500 (2021).

        +


        Now is your opportunity to join a fast-growing technology company built on teamwork, innovation, and boundless ambition!

        +

        +

        Check Neo out!

        +


        ***Applicants must be currently authorized to work in Canada for any employer

        +


        +

        CAD: Avidbots is an equal opportunity employer committed to building a diverse workforce. As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. We are a diverse Canadian company founded by international students, and we are proud of the strengths our diversity brings. We hold our executives to the same standards as all of our employees, and we believe work should be a safe space for all. Avidbots has an absolutely zero tolerance policy for discrimination or hate against members of any race, religion or sexual orientation. We also offer a professional working environment and culture and believe that work / life balance is critical to ensure the happiness/well-being of our people.

        +


        +

        Upon request, Avidbots will provide reasonable accommodation for applicants with disabilities throughout the recruitment and selection process.

        +


        +

        #INDAV

        +
        ",,https://avidbots.bamboohr.com/careers/695,feed-importer@jobboard.io,,,,2023-08-17T02:18:02.567Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/247786999-system-design-specialist-at-avidbots,,draft,2023-07-18T02:18:02.567Z,import-xml-feed:Selenium-Scraper,,,,,,, +3b7dcacb-399f-417b-9983-1898f33e0b17,247783053,RBC,Sr Lead Software Developer,on_site,"Toronto, ON, Canada",2023-07-18T01:51:02.297Z,"
        +

        Come Work with Us!

        At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

        Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

        +

        Job Title

        Sr Lead Software Developer

        +

        +

        Job Description

        +
          +
        • +

          What is the opportunity?

          +

          In this role, you will lead and mentor a team of enthusiastic engineers building APIs and micro-services and front end applications. You will work with all stakeholders to design best in class technology solutions.

          +

          +

          What will you do?

          +
        • +
        • Develop and maintain APIs and micro-services and front end.
        • +
        • Develop and maintain front end apps using Angular framework (Angular 7 or above)
        • +
        • Lead and mentor an enthusiastic team of engineers.
        • +
        • Build reusable and fully tested (unit tests) code using Jest, Jasmine, Karma, Protractor.
        • +
        • Optimize applications for maximum usability and function.
        • +
        • Design highly scalable and extensible services
        • +
        • Create estimates for given tasks/features.
        • +
        • Design front end with the industry best practices.
        • +
        • +

          +

          What do you need to succeed?

          +

          Must-have

          +
        • +
        • Extensive experience in building Applications using Java-Spring Boot or Node.js, Angular, HTML, JavaScript, Redux, CSS, Kubernetes.
        • +
        • 2+ years of experience leading a team of engineers.
        • +
        • Strong proficiency in on-prem and/or public cloud and deployment.
        • +
        • Expertise with more than one database and related technologies (MongoDb, Elastic-Search, SQL server, Oracle, Kafka)
        • +
        • Experience with REST and/or GraphQL
        • +
        • Experience with modern dev-ops techniques experience is a must. We use GitHub, UrbanCode and Jenkins.
        • +
        • +

          +

          Nice to Have

          +
        • +
        • Some experience with ReactJS
        • +
        • +

          +

          +

          What’s in it for you?

          +
        • +
        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation and stock where applicable.
        • +
        • Leaders who support your development through coaching and managing opportunities
        • +
        • A startup like environment with all the job security of the number one financial institution.
        • +
        • Ability to make a difference and lasting impact
        • +
        • Work in a friendly, dynamic, collaborative, progressive, and high-performing team.
        • +
        • A world-class training program
        • +
        • Fun and supportive environment that values personal aspirations as much as the results to be delivered.
        • +
        +

        +

        +

        Job Summary

        +

        Address:

        TORONTO, Ontario, Canada

        City:

        CAN-ON-TORONTO

        Country:

        Canada

        Work hours/week:

        37.5

        Employment Type:

        +

        Platform:

        +

        Job Type:

        Regular

        Pay Type:

        Salaried

        Posted Date:

        2022-03-16-07:00

        Application Deadline:

        2022-04-06-07:00
        +

        Inclusion and Equal Opportunity Employment

        +

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

        +
        +

        Join our Talent Community

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

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

        +
        ",,https://jobs.rbc.com/ca/en/job/R-0000000956/Sr-Lead-Software-Developer,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-08-17T01:51:02.304Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/247783053-sr-lead-software-developer-at-rbc,,draft,2023-07-18T01:51:02.297Z,import-xml-feed:RBC-Job-Feed,,,,,,, +d3bec736-3d09-4a52-8d96-0745a259ac58,237206027,Magna International,Industrial Millwright,on_site,"Concord, ONTARIO, CA, L4K 2R2",2023-06-17T16:04:02.612Z,"
        -

        What We Offer

        -
        • 15 vacation days plus 32 paid floating hours annually (prorated in first year)
        • Flexible healthcare benefits to cover you and your family, including Medical, Dental, Life Insurance, and Accidental Death & Dismemberment Insurance
        • Annual total compensation survey conducted to ensure fair pay and competitive wages
        • Support for your career development and growth through training and tuition reimbursement
        • Profit Sharing and Registered Retirement Savings Program (RRSP) with employer matching contributions
        • Support for mental and physical health through employee assistance & wellness programs
        • Employee vehicle discounts
        • Social events throughout the year including employee service awards, children’s Christmas parties, fundraising events, etc.
        • Opportunity to work with a diverse and inclusive company
        • -
        +

        Role Summary

        +

        To increase uptime, throughput, efficiency and quality, through the process of maintaining, designing, developing and continuously improving our equipments and the utilization of technology to ensure the best quality products are produced.

        Key Responsibilities

        -
        • Generally assigned to increasingly complex components, sub-assemblies and systems, e.g. may be responsible for changes based on new requirements, or may contribute to the application of new technology.
        • Coordinates the development for the designated products including, but not limited to Embedded software design, documentation, developing C –code and assembler, in accordance with standard operating procedures and the product delivery process.
        • Incorporates customer requirements, regulations and product specifications into the design of the designated products, ensuring compliance with Magna Closures Software Development Process, operational, cost, timing, safety, reliability, quality, and manufacturing feasibility parameters.
        • Analyzes products and formulates engineering conclusions by the application of engineering and/or mathematical principles and tools. Applies QFD, FEA, FMEA, DOE, VA/VE and DFM/DFA, as required in the development of the product.
        • Creates engineering documentation for the following deliverables as outline in Magna Closures Software Development Process: Product Specification, Software Requirement Specification, Software Development Plan, Software Design and Implement Document, DVP&R’s, 8D’s, key product characteristics, engineering changes and work orders.
        • Writes, compiles and integrate Software based on above requirements.
        • Designs / programs / implements automatic test vectors.
        • Conducts code reviews with peers and customer.
        • Consults and collaborates with personnel in various engineering and design activities relative to product development requirements in order to create/support robust electro-mechanical systems control methods to eliminate campaign failure modes.
        • Conducts effective communications within the project team and with the customer, suppliers, manufacturing and quality communities with minimal guidance from engineering management and engineering personnel.
        • Maintains all appropriate documentation
        • Supports software development environments for embedded applications.
        • Works with senior engineering personnel to drive best practices in design specifications, manufacturing processes, customer requirements, and safety requirements
        • Creates, reviews and approves engineering direction and responsible for product testing to ensure key deliverables are met (i.e. functional requirements, cost targets, timing, safety, reliability, quality, and manufacturing feasibility parameters).
        • Reviews, approves, completes, and submits required change notices to ensure software quality meet design inputs.
        • Independently prioritizes the completion of tasks and resolution of issues to ensure compliance to Customer requirements and program deliverables.
        • Contributes to the development of project timing.
        • -
        +

        • Evaluate and improve our processes for uptime and repeatability
        • Evaluate downtime situations for root cause and suggest/implement improvements
        • Evaluate potential risks to similar processes and develop work orders and plans to resolve issues
        • Preventative maintenance on Equipment – identifies weakness in design and implements improvements
        • Take pride in workmanship and when performing skilled work develop procedures to educate and train other team members performing the same work. Note – Monitor progress of repair to ensure problem is resolved
        • Monitor and participate in ensuring all Key Performance Indicators (Safety, Quality and Productivity) are being achieved and if not assist with action plans to ensure success
        • Ensure all key information is captured and exchanged at shift change to support the other shifts
        • Maintain safety standards of equipment and work area and perform all duties in a safe manner in accordance with the safety policies of P&F Tool & Die
        • Co-ordinate activities of apprentices, helpers and assigned contractors
        • Assist in developing and/or updating preventive maintenance procedures
        • Read, update, and accurately modify mechanical blueprints
        • Operation of process cooling water, compressed air supply and air dryers
        • General knowledge of heating and cooling systems
        • Perform all duties and promote themselves in a manner that reflects the P&F expectations, P&F’s vision/values through Magna’s Employee Charter.
        • Follow and abide by all government, Legal, Magna and P&F rules and regulations
        • Contribute to continuous improvement and cost reduction activities
        • Perform other duties as requested

        Key Qualifications/Requirements

        -
        • Bachelor’s degree in Computer/Software/Electrical Engineering from an accredited university.
        • Minimum of 4 years of engineering experience
        • Working knowledge of electrical hardware and electrical circuit theory as it relates to embedded controls for electro-mechanical systems.
        • Ability to apply academic and other engineering principles in the development of automotive components and utilize analytical math-based tools.
        • Automotive Experience desired.
        • Understanding of hardware embedded environments and Micorcontrollers such as NXP/Freescale, Renesas, MicroChip/Atmel, Cypress, ST, Infineon, Etc
        • Knowledge of Vehicle Bus Communications software such as CAN, LIN and Wireless communications such as BLE, NFC, Etc
        • Understanding of the Vehicle and Component Level Diagnostics protocols
        • Advanced level C, Assembly language, Labview, Lab windows or other software design/test tools
        • Understanding of standard software process and industry requirements AutoSpice, CMMI, IEEE, MISRA
        • -
        +

        • C of Q (Industrial Mechanic / Millwright)
        • Minimum 5 years work experience in a Press Shop (Stamping) environment
        • Strong knowledge and understanding of stamping processes
        • Strong knowledge and understanding of mechanical presses; from 500 to 1300 ton (blanking, progressive and transfer presses – Brown Boggs, Blow Press, CCI, Benilli and Aida)
        • Experience in the dis-assembly / assembly of clutch and brakes, counter balance cylinders and gear boxes
        • Knowledge and experience of press controls. Good understanding of crank angles, ram (slide) motions, gibs clearances, ram adjustment and hydraulic overloads
        • Knowledge of press safety and guarding
        • Strong knowledge and experience of press lubrication system. Good knowledge of hydraulic gear pumps and pneumatic booster pump (Haskel)
        • Knowledge and understanding of coil feeder systems (feeder, straightener and uncoiler – International Controls)
        • Strong understanding of pneumatic and hydraulic systems (valves, cylinders, FRL, pressure switches, etc)
        • Good Millwrighting experience – machining (lathe, milling, surface grinder, drilling), welding (stick, MIG), rigging and lifting devices (crane and forklift operation)
        • Good experience in analytical way of solving problems and good understanding of root cause analysis process
        • Must be available to work rotating shift within the department
        • Able to be flexible in hours of work in order to meet internal/external customer requirements. (scheduled and non-scheduled overtime shifts, etc)
        • Must demonstrate the ability to work in a team environment.
        • Physically able to perform the essential duties of the position.
        • WHMIS
        • Lockout / Tagout
        • Forklift License
        • Falls Arrest
        • Crane operation

        Additional Information

        @@ -2329,32 +5525,40 @@ c00c127f-3430-4294-9d42-a32763ecd585,237206028,Magna International,Senior IT Int

        Awareness. Unity. Empowerment.

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

        -
        ",,https://jobs.magna.com/job/Software-Engineer/564115017/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-17T16:04:04.798Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/237206038-software-engineer-at-magna-international,https://jobs.magna.com/job/Software-Engineer/564115017/,draft,2023-06-17T16:04:04.797Z,import-xml-feed:Scrapy-Scraper,,,,,,, -e9900ac7-0d01-4d1f-820a-c7029d26712b,237206041,Magna International,Electrician,on_site,"Milton, ONTARIO, CA, L9T 4Z7",2023-06-17T16:04:05.327Z,"
        +
        ",,https://jobs.magna.com/job/Industrial-Millwright/568945217/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-03T16:09:04.525Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206027-industrial-millwright-at-magna-international,https://jobs.magna.com/job/Industrial-Millwright/568945217/,draft,2023-06-17T16:04:02.612Z,import-xml-feed:Scrapy-Scraper,,,,,,, +5eef7793-d02c-4f6e-a5bc-5a23f17f56af,237206038,Magna International,Software Engineer,on_site,"Newmarket, ONTARIO, CA, L3X 2S2",2023-06-17T16:04:04.797Z,"

        Role Summary

        -

        The Electrician is primarily responsible to service, maintain and test production equipment. This position will support production by trouble shooting problems, making repairs and system improvements (optimization).

        +
        +

        Ignite Your Transformation
        For a big company, we're surprisingly entrepreneurial. Expect a collaborative and supportive atmosphere that will help you grow, both professionally and personally. We are committed to delivering success by offering our customers a truly diverse and global range of products. Step into an inclusive and dynamic team - Be part of the Magna family.

        +

        +

        Closures Technical Centre, a division of Magna International Inc., is focused on the design, development and testing of Mechatronics products for the automotive industry. We are currently looking for a Software Engineer in Newmarket, Ontario. The Software Engineer will develop, design and improve new and existing software for automotive embedded controls.

        +
        +
        +
        +

        What We Offer

        +
        • 15 vacation days plus 32 paid floating hours annually (prorated in first year)
        • Flexible healthcare benefits to cover you and your family, including Medical, Dental, Life Insurance, and Accidental Death & Dismemberment Insurance
        • Annual total compensation survey conducted to ensure fair pay and competitive wages
        • Support for your career development and growth through training and tuition reimbursement
        • Profit Sharing and Registered Retirement Savings Program (RRSP) with employer matching contributions
        • Support for mental and physical health through employee assistance & wellness programs
        • Employee vehicle discounts
        • Social events throughout the year including employee service awards, children’s Christmas parties, fundraising events, etc.
        • Opportunity to work with a diverse and inclusive company
        • +

        Key Responsibilities

        -
        1. Maintain safety standards of equipment and work area and perform all duties in a safe manner in accordance with the safety policies of Karmax.
        2. Follow Magna’s Code of Conduct and Ethics and related compliance policies.
        3. Assembles and installs new equipment and machines and is able to make modifications to existing equipment as requested.
        4. Carries out preventative maintenance procedures on electrical equipment as laid out by the manufacturer’s specifications.
        5. Coordinate activities of co-op students, apprentices, helpers and assigned contractors.
        6. Assist in determining and setting up spare part requirements.
        7. Perform all duties in an environmentally responsible manner in accordance with the Karmax Environmental Policy Statement—3 P’s. Prevent Pollution, Preserve Natural Resources & Protect our Environment
        8. Perform other duties as required.
        9. -
        +
        • Generally assigned to increasingly complex components, sub-assemblies and systems, e.g. may be responsible for changes based on new requirements, or may contribute to the application of new technology.
        • Coordinates the development for the designated products including, but not limited to Embedded software design, documentation, developing C –code and assembler, in accordance with standard operating procedures and the product delivery process.
        • Incorporates customer requirements, regulations and product specifications into the design of the designated products, ensuring compliance with Magna Closures Software Development Process, operational, cost, timing, safety, reliability, quality, and manufacturing feasibility parameters.
        • Analyzes products and formulates engineering conclusions by the application of engineering and/or mathematical principles and tools. Applies QFD, FEA, FMEA, DOE, VA/VE and DFM/DFA, as required in the development of the product.
        • Creates engineering documentation for the following deliverables as outline in Magna Closures Software Development Process: Product Specification, Software Requirement Specification, Software Development Plan, Software Design and Implement Document, DVP&R’s, 8D’s, key product characteristics, engineering changes and work orders.
        • Writes, compiles and integrate Software based on above requirements.
        • Designs / programs / implements automatic test vectors.
        • Conducts code reviews with peers and customer.
        • Consults and collaborates with personnel in various engineering and design activities relative to product development requirements in order to create/support robust electro-mechanical systems control methods to eliminate campaign failure modes.
        • Conducts effective communications within the project team and with the customer, suppliers, manufacturing and quality communities with minimal guidance from engineering management and engineering personnel.
        • Maintains all appropriate documentation
        • Supports software development environments for embedded applications.
        • Works with senior engineering personnel to drive best practices in design specifications, manufacturing processes, customer requirements, and safety requirements
        • Creates, reviews and approves engineering direction and responsible for product testing to ensure key deliverables are met (i.e. functional requirements, cost targets, timing, safety, reliability, quality, and manufacturing feasibility parameters).
        • Reviews, approves, completes, and submits required change notices to ensure software quality meet design inputs.
        • Independently prioritizes the completion of tasks and resolution of issues to ensure compliance to Customer requirements and program deliverables.
        • Contributes to the development of project timing.
        • +

        Key Qualifications/Requirements

        -
        • Grade 12 Education or GED
        • Certificate of Qualification Industrial Electrician 442 or Electrician 309
        • +
          • Bachelor’s degree in Computer/Software/Electrical Engineering from an accredited university.
          • Minimum of 4 years of engineering experience
          • Working knowledge of electrical hardware and electrical circuit theory as it relates to embedded controls for electro-mechanical systems.
          • Ability to apply academic and other engineering principles in the development of automotive components and utilize analytical math-based tools.
          • Automotive Experience desired.
          • Understanding of hardware embedded environments and Micorcontrollers such as NXP/Freescale, Renesas, MicroChip/Atmel, Cypress, ST, Infineon, Etc
          • Knowledge of Vehicle Bus Communications software such as CAN, LIN and Wireless communications such as BLE, NFC, Etc
          • Understanding of the Vehicle and Component Level Diagnostics protocols
          • Advanced level C, Assembly language, Labview, Lab windows or other software design/test tools
          • Understanding of standard software process and industry requirements AutoSpice, CMMI, IEEE, MISRA
        -

        Skills and Competencies

        -
        • Excellent written and verbal communication skills.
        • Excellent mathematical, analytical and organizational skills
        • Able to perform various computer functions (Microsoft Office, Karmax Software)
        • Able to safely operate all Material Handling Equipment (Forklift, crane, buggy) in assigned area of responsibility.
        • -
        +

        Additional Information

        +

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

        Awareness. Unity. Empowerment.

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

        -
        ",,https://jobs.magna.com/job/Electrician/567804817/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-17T16:04:05.327Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206041-electrician-at-magna-international,https://jobs.magna.com/job/Electrician/567804817/,draft,2023-06-17T16:04:05.327Z,import-xml-feed:Scrapy-Scraper,,,,,,, +
        ",,https://jobs.magna.com/job/Software-Engineer/564115017/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-06T16:09:02.842Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/237206038-software-engineer-at-magna-international,https://jobs.magna.com/job/Software-Engineer/564115017/,draft,2023-06-17T16:04:04.797Z,import-xml-feed:Scrapy-Scraper,,,,,,, ad8fb3af-bed5-4388-a31f-46e2fb5fe55f,237206037,Magna International,Summer Engineering Co-op,on_site,"Vaughan, ONTARIO, CA, L4K 2K1",2023-06-17T16:04:04.692Z,"

        Key Responsibilities

        @@ -2563,7 +5767,7 @@ f7cfbfde-32a9-4327-8efa-437cfbd76359,236957639,Google,"Software Developer Intern

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

        Join our Talent Community

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

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

        -",,https://jobs.rbc.com/ca/en/job/R-0000051369/Senior-Officer-Data-Management-Quality,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-07-17T01:51:02.132Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/236957479-senior-officer-data-management-quality-at-rbc,,draft,2023-06-17T01:51:02.116Z,import-xml-feed:RBC-Job-Feed,,,,,,, +",,https://jobs.rbc.com/ca/en/job/R-0000051369/Senior-Officer-Data-Management-Quality,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-07-05T01:56:04.198Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/236957479-senior-officer-data-management-quality-at-rbc,,draft,2023-06-17T01:51:02.116Z,import-xml-feed:RBC-Job-Feed,,,,,,, 3e162988-ae95-455d-bd10-106436afceda,236957754,Borealis AI,Data Engineer,on_site,"Ontario, Canada",2023-06-17T01:58:02.149Z,"

        What’s the opportunity?

        We’re looking for an enthusiastic data engineer who’s excited by the opportunity of designing distributed systems to support applications at the forefront of machine learning technology. As a Data Engineer, you’ll be responsible for owning and delivering systems to efficiently acquire, prepare, and process data for state-of-the-art AI solutions that we build at Borealis AI.

        Engineering plays a vital role at Borealis AI, turning our machine learning models into products that generate exponential business value. We understand the financial system we operate in, and we have the resources, knowledge and tools to improve it. Our team of 40+ engineers work with leading Machine Learning researchers to accelerate, build and deploy products that will enhance risk applications, reduce fraud, help millions of people manage cash flow, access credit and plan for their financial futures. In the finance sector, millions of people are counting on us to get it right.

        @@ -2597,7 +5801,7 @@ f7cfbfde-32a9-4327-8efa-437cfbd76359,236957639,Google,"Software Developer Intern

        Inclusion and Equal Opportunity Employment

        RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

        -
        ",,https://www.borealisai.com/careers/?gh_jid=6674710002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-07-17T01:58:02.157Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/236957754-data-engineer-at-borealis-ai,,draft,2023-06-17T01:58:02.149Z,import-xml-feed:Borealis-AI-Job-Feed,,,,,,, +",,https://www.borealisai.com/careers/?gh_jid=6674710002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-07-05T02:03:04.362Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/236957754-data-engineer-at-borealis-ai,,draft,2023-06-17T01:58:02.149Z,import-xml-feed:Borealis-AI-Job-Feed,,,,,,, fa101dfe-f9ff-4c4a-8c49-967b3c615914,236958272,Vector Institute,Office Services Assistant,on_site,"Ontario, Canada",2023-06-17T02:12:03.601Z,"

        JOB DESCRIPTION

        OFFICE SERVICES ASSISTANT

        POSITION OVERVIEW

        @@ -2652,7 +5856,7 @@ fa101dfe-f9ff-4c4a-8c49-967b3c615914,236958272,Vector Institute,Office Services
      • You strive to create and support a respectful, friendly, fun, and safe environment for staff and researchers alike.
      • -

        ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=9200420850870_2&jobId=448196&lang=en_CA&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2023-07-17T02:12:03.615Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/236958272-office-services-assistant-at-vector-institute,,draft,2023-06-17T02:12:03.601Z,import-xml-feed:Vector-Institute-Job,,,,,,, +

        ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=9200420850870_2&jobId=448196&lang=en_CA&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2023-07-18T02:17:01.584Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/236958272-office-services-assistant-at-vector-institute,,draft,2023-06-17T02:12:03.601Z,import-xml-feed:Vector-Institute-Job,,,,,,, d43f752c-5118-4ee8-8665-a21cd147cbba,236957164,CIBC,"Director, Marketing Analytics",on_site,"Ontario, Canada",2023-06-17T01:41:01.766Z,"

        We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

        @@ -2722,574 +5926,50 @@ d43f752c-5118-4ee8-8665-a21cd147cbba,236957164,CIBC,"Director, Marketing Analyti

        Job Location

        Toronto-81 Bay, 33rd Floor

        Employment Type

        Regular

        Weekly Hours

        37.5

        Skills

        -

        Analytics Consulting, Analytics Insights, Digital Marketing, Digital Marketing Analytics, Digital Sales, Innovation, Transformation Programs
        ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Director--Marketing-Analytics_2309994?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-07-17T01:41:01.775Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/236957164-director-marketing-analytics-at-cibc,,draft,2023-06-17T01:41:01.766Z,import-xml-feed:CIBC-Job-Feed,,,,,,, -ae20d4d1-81ca-4d9e-b445-23087290f688,239887326,Scotiabank,"Senior Manager, Pricing, Product & Business Analytics",on_site,Canada : Ontario : Toronto,2023-06-26T15:52:02.437Z,"

        -

        +

        Analytics Consulting, Analytics Insights, Digital Marketing, Digital Marketing Analytics, Digital Sales, Innovation, Transformation Programs
        ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Director--Marketing-Analytics_2309994?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-07-05T01:46:05.060Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/236957164-director-marketing-analytics-at-cibc,,draft,2023-06-17T01:41:01.766Z,import-xml-feed:CIBC-Job-Feed,,,,,,, +16d6e705-5179-413b-9f7f-fa52d0bebafc,242607507,Scotiabank,"Director, Program Delivery",on_site,Canada : Ontario : Toronto,2023-07-03T15:52:04.259Z,"

        -

        Requisition ID: 180257

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

        -

        Purpose

        +

        Requisition ID: 179986

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

        -

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

        +

        Purpose:

        +

        Join a purpose-driven team, committed to achieving a once-in-a-lifetime transformation of Canada’s most international bank. Scotiabank is on an epic journey to migrate all its global data and analytics platforms to the cloud—and you could help us make it happen! As a member of the Customer Insights, Data & Analytics (CIDA) team, the Director, Delivery, Enterprise Data & Analytics Platform Transformation is responsible for the successfully delivery of migration programs to cloud, supporting the design and execution of program strategy, governance, and reporting. A critical element of success for this role is the ability to foster trusted partnerships across all levels of the organization, a clear and concise communicator, with a consistent focus on accelerating maximum value to advance data and analytics across the Enterprise. The incumbent will have the opportunity to:

        +


        • Be empowered to lead and have an impact on a highly complex, fast-paced and global transformation journey as part of a high-performing team of data, analytics and infrastructure (cloud & legacy technology) experts.
        • Work collaboratively with diverse stakeholder groups across Scotiabank to solve problems and deliver practical solutions to difficult challenges.
        • Gain visibility to senior and Executive management at Canada’s most international bank while working in a supportive and flexible work environment/team.
        • Apply strategic thinking, problem-solving and compelling storytelling to create impactful reporting, communications and narratives to help drive decision-making and change management.

        +


        The candidate should be customer and results focused, have keen analytical interest and the ability to impact and influence. This individual should be energized operating within a dynamic and fast-paced environment and find deep satisfaction from building effective solutions to difficult problems.

        -

        Accountabilities

        +


        Accountabilities:

        +


        • Support the strategy, governance, and implementation of the multi-year cloud transformation program across all geographies and business units.
        • Create delivery team structure and accountability through program management. Ensemble and manage migration initiatives execution teams, including subject matter experts and key stakeholders.
        • Responsible for establishing and managing the projects delivery integrated plans in partnership with the project delivery teams, Data Provisioning, Engineering, Infrastructure and Operational teams to deliver end to end solutions.
        • Establish and maintain the overall program roadmap and related assets, processes, methodologies, and accelerators, working closely with PMO to ensure best practices are followed.
        • Create and manage the program Risks, Actions, Issues, Decisions (RAID) delivery log and help drive decision making and accountability by supporting cross functional executive and senior management forums to align on
        opportunities, challenges and required actions.
        • Act as an oversight (budget, resource allocation, project progress) and where required, provide managerial support ensuring appropriate communications and stakeholder management is undertaken.
        • Proactively identify, report and escalate program issues, challenges and risks and collaborate with internal/external teams to understand business needs and facilitate agile problem solving.
        • Build strong stakeholders’ relationships, ensure that projects success and customer benefits are aligned to overall program goals and expectations.
        • Collaborate with cross-functional program stakeholders to complete planning and prioritization activities and to drive alignment across global and local roadmaps and project plans.
        • Contribute to the design, build and ongoing improvement of effective governance, project management, reporting & communications processes, templates, and tools.
        • Delivers strategic advice, options and recommendations for projects, policies, initiatives, and issues including strategy, analysis, and messaging.
        • Support and contribute to the team’s development and dissemination of key program deliverables, collateral, reporting, and communications.

        +


        Requirements & Qualifications:

        -

        • Product and pricing owner of Automotive Finance’s non-subvented strategy by proactively managing margin and growing revenue within prime retail loans through originations while managing the product and achieving NIM and ROAC profit plans.

        +

        • University Degree in engineering, technology or business, (MBA an asset) or equivalent.
        • Minimum 10 years working in a program or project management, strategy or consulting role within the financial services industry (preferred).
        • +5 Years running and delivering projects in excess of $10MM annually.
        • +5 Years in product and services management
        • Excellent project management skills and product owner mindset with outstanding track record managing large program portfolios in a highly complex and matrixed organization.
        • Strong knowledge of cloud transformation projects, cloud data platforms, cloud capabilities, technical design and architecture, an asset
        • Robust knowledge of and ability to apply business strategy, planning, and relationship management as well as evaluate and execute change activities.
        • Superior communication skills including effective storytelling and stakeholder management in an Enterprise transformation context. Spanish is an asset.
        • Tenacious problem-solving skills and an ability to work with ambiguity to advance deliverables.
        • Ability to work flexibly and prioritize in a fast-paced and deadline-driven environment; resourceful and determined about getting the job done with excellent teaming skills.
        • Ability to make an impact, influence and achieve results with effective negotiation, problem-solving and communication skills.
        • Knowledge of risk management environment, standards and regulations within a financial services organization.
        • Ability to adapt and pivot within a team environment to changing program requirements.
        • Strong organizational skills and meticulous attention to detail.
        • Thorough working knowledge of Microsoft Office suite; Confluence, JIRA and SharePoint skills are an asset.

        -

        • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

        +

        Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/Director%2C-Program-Delivery/571682217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-10T15:57:04.542Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/242607507-director-program-delivery-at-scotiabank,https://jobs.scotiabank.com/job/Director%2C-Program-Delivery/571682217/,draft,2023-07-03T15:52:04.259Z,import-xml-feed:Scotiabank,,,,,,, +45ed1080-2042-42ca-9274-c845ae1ce6b0,237206046,Magna International,Senior Internal Auditor,on_site,"Aurora, ONTARIO, CA, L4G 0G9",2023-06-17T16:04:06.518Z,"
        +
        +

        Role Summary

        +

        -

        • In partnership with the Director, Manufacturer Partnerships and with the Sales Leaders across Canada, the incumbent to develops recommendations/strategies and manages end-to-end pricing for Automotive Finance’s non-subvented business for Auto Dealer, RV, Marine, Leisure& Motorcycle. This involves a high degree of analysis, presenting to executives and managing day-to-day pricing needs with Dealer Finance Centres. He/She directly contributes to the business unit’s strategic planning and profitable revenue growth and is responsible to ensure the Bank is competitively positioned to meet the rapidly changing current and future needs of the market.

        +

        The Senior Internal Auditor plans, performs and leads independent financial, compliance and other specific audits to ensure that established policies and procedures are followed, and operational and financial standards are met.
        The role is well suited to a professional with internal or external audit or internal controls experience in the automotive manufacturing space with a solid technical background and sound understanding of Internal Audit Professional Auditing standards.

        -

        • Manages and executes product launches end-to-end for Auto Dealer, RV, Marine, Leisure & Motorcycle including product strategy and pricing. The incumbent has responsibility for ongoing market scoping and analysis, identifying market opportunities that lead to new product and program development, and will be the business lead for the management of complex project/programs as directed. This includes submission of NIRA’s and working with multiple stakeholders across the bank including legal, GRM, Operations, etc.

        +

        A successful candidate has excellent people skills, high standards of professionalism, is detail oriented with exceptional organization skills and is able to problem solve and thrive in a fast-paced environment.

        +
        +
        +
        +

        Key Responsibilities

        +

        -

        • Maintaining retail customer engagement and third-party vendor management by documenting key business requirements related to potential opportunities, preparing proposals, developing and implementing action plans and strategies and designing and recommending enhancements to existing products to maximize value to the business and the client/dealer.

        +
        • Reviews and interprets pre-audit file analysis and auditee data to determine audit scope as well as performs target sample selections using Data Analytics platforms
        • Plans, performs & leads financial, compliance & other audit activities, within specified time periods
        • Uses Internal Audit Management system to plan, perform and document audit work
        • Maintains audit files and documents work performed to department standards ensuring working papers are complete and supported
        • Identifies gaps in internal controls and provides recommendations and advice to strengthen internal controls or improve processes
        • Evaluates audit results to assess the quality and effectiveness of internal operating policies, internal controls, regulatory requirements, administrative procedures & reporting practices
        • Drafts formal, clearly written, and complete audit reports summarizing findings, conclusions, and recommendations
        • Follows up with stakeholders on any recommendations or corrective actions to internal or external audits to ensure continued process improvement & compliance, when required
        • Assists in the coordination of internal audit activities with external auditors and any other required audit/examination teams
        • May provide assistance in performance of investigations of improper activities, including potential fraud matters
        • Seeks opportunities to self-develop skills & experience in relevant audit specialities
        • Other responsibilities may be assigned from time to time by Internal Audit department management
        • +
        +
        +
        +
        +

        Key Qualifications/Requirements

        +

        -

        • Engaging in strategic project management by collaborating with the Director, GRM and Finance & Accounting in the development of pricing, profitability and sensitivity models to ensure proper risk analysis and to aid in the development of product concepts and proposals. While also participating in the creation of innovative product solutions that will continually redefine the market standard to support the Marketing & Sales leadership team, with a strong focus on digital direct product execution and delivery.

        -

        -

        • Provide ongoing insight of sales analysis onbookings, pricing,portfolio trends, credit and other information that will support the executive evaluation for business decisions in Automotive Finance. This insight is not limited to the non-subvented portfolio but includes supporting analysis on the subvented and individual OEM book of business. The incumbent is a critical resource for the Sales Leaders across Canada as well as the Relationship Managers within the Manufacturer Partnerships Team as he/she is expected to support sales events, quarterly business reviews with partners and any ad hoc business related problems or opportunities that have been identified. The output of this person is not limited to insights and should include recommendations and solutions in the recommendations.

        -

        -

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

        -

        -

        • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

        -

        -

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

        -

        -

        • At some point, this role may have direct reports that will take on pure data/analytics functions in order for the Senior Manager to continue to add value and contribute on strategic initiatives and growth plans.

        -

        -

        -

        -

        Education / Experience / Other Information

        -

        -

        • 5+ years of experience working with data, analytics, business development and enterprise sales analysis

        -

        • 2+ years of experience working with a sales team

        -

        • Skilled in reviewing data and developing recommendations (qualitative/quantitative data to drive desired behaviour)

        -

        • In-depth knowledge of business related computer software specifically Tableau, Excel, PowerPoint and Word (data import/export).

        -

        • Strong communicator and proven ability to work with executives on strategic initiatives and collaboratively across multiple teams.

        -

        • Post-secondary degree in Business

        -

        -

        -

        The following would be an asset but not required

        -

        -

        • Strong knowledge of the banking industry

        -

        • MBA/ Masters in Finance/CFA/CPA

        -

        -

        -

        -

        Working Conditions

        -

        -

        • Work in a standard office-based environment; non-standard hours are a common occurrence.

        -

        -

        Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/Senior-Manager%2C-Pricing%2C-Product-&-Business-Analytics/571554917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-26T15:52:02.445Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/239887326-senior-manager-pricing-product-business-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Senior-Manager%2C-Pricing%2C-Product-&-Business-Analytics/571554917/,draft,2023-06-26T15:52:02.437Z,import-xml-feed:Scotiabank,,,,,,, -e0696aff-fabf-46a7-a34f-1d7ce6f071d7,239939840,BMO Financial Group,Senior Analyst Business Analytics,on_site,"Ontario, Canada",2023-06-27T01:42:01.463Z,"
        -

        Application Deadline:

        06/22/2023

        -

        -

        Address:

        100 King Street West

        -

        -

        Job Family Group:

        Data Analytics & Reporting

        -

        -

        -

        -
        -
        The Senior Analyst, Data Foundations & Infrastructure is accountable for development and maintenance of key foundational datasets to enable timely, relevant, and comprehensive reporting and analysis in support of the BMO Commercial Bank. This role performs complex end-to-end analysis to support business requirements. Includes execution on requirements and making recommendations for improvements. Act as COE/SME on area of expertise.
        -
        -

        -

        The Senior Analyst, Data Foundations & Infrastructure will develop and maintain standard reports and analyze and identify key trends for the BMO Commercial Bank line of business. The role is responsible for performing data extraction, aggregation, transformation, management, and quality reviews of data from multiple data sources for use in reporting and analytics. Data quality is key and any identified issues should have a well defined remediation plan in place. The role requires strong communication skills to work with business partners to explain trends as well as the source of data utilized in reporting. Strong documentation around processes and reporting is required.

        -

        -

        This role will also collaborate with members of key BMO Commercial groups to ensure that data is provided as required on a timely basis.

        -

        -

        Knowledge

        -
          -
        • University degree in math, finance, economics or business-related field
        • -
        • 3-5+ years of direct experience in a related role within the financial services industry with a focus on data management and analytics
        • -
        • Strong knowledge of database programs (SQL)
        • -
        • Solid knowledge of planning, coordinating, multi-tasking, and analysis
        • -
        -

        -

        Skills

        -
          -
        • Strong interpersonal and management skills
        • -
        • Proven ability to create, manipulate and extract information from large data sets
        • -
        • Detail oriented with good organizational skills
        • -
        • Ability to work under pressure and tight timeframes
        • -
        • Ability to work well in a team environment
        • -
        -

        -

        Responsibilities

        -

        A. Data Management

        -
          -
        • Act as the subject matter expert on the development and management of BMO Commercial data and provide guidance to respond to the evolving needs of the business.
        • -
        • Develop business and system specifications relating to performance monitoring, dashboard feeds and other MIS initiatives
        • -
        • Oversee all major data production problems through to resolution. Identify and recommend appropriate safe guards to prevent reoccurrence of issues.
        • -
        -

        -

        B. Monthly Revenue Processing

        -
          -
        • Maintain effective relationship with internal partners, and reporting & analytics teams
        • -
        • Accountable for the production of revenue data set processing
        • -
        -

        C. Analytics

        -
          -
        • Review and resolve data issues, utilizing appropriate analytical approaches
        • -
        • Conduct analytics for new products and processes, understand key implications from the output and develop recommendations to enhance data set processing
        • -
        -
        -
        -

        -

        -

        -

        We’re here to help

        -

        -

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

        -

        -

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

        -

        -

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

        -

        -

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

        -

        -

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

        -
        ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Analyst-Business-Analytics_R230009865?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-07-27T01:42:01.471Z,False,0,2,2,https://talenthub.vectorinstitute.ai/jobs/239939840-senior-analyst-business-analytics-at-bmo-financial-group,,draft,2023-06-27T01:42:01.463Z,import-xml-feed:BMO-Job-Feed,,,,,,, -c7c4cb41-6077-4821-be29-7cf4f79bce5a,239939846,RBC,"Manager, Fraud Research and Analytics",on_site,"Toronto, ON, Canada",2023-06-27T01:51:02.748Z,"
        -

        Come Work with Us!

        At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

        Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

        -

        Job Title

        Manager, Fraud Research and Analytics

        -

        -

        Job Description

        -

        What is the opportunity?

        -

        Fraud Management (FM) teams employ deep subject matter expertise in identifying, assessing, mitigating and controlling fraud risks for the Enterprise. Within Fraud Management, the Fraud Data Science & Analytics (FDSA) team develops and optimizes fraud detection strategies to maximize operational effectiveness and minimize client impact. The FDSA Research and Analytics function conducts analytic research into fraud issues, identifying causation and correlation, develop insights on emerging trends, gaps or systemic issues, and collaborate with Fraud Management partners to communicate results and take action.

        -

        -

        What will you do?

        -
          -
        • Identify patterns, trends and hidden causation and correlation relationships from Fraud data and advise FM SMT of emerging trends, specific gaps or systemic issues that impact the Fraud Risk of RBC
        • -
        • Collaborate with appropriate partners for action, correction, awareness and training
        • -
        • Forecast Financials and Fraud KPI’s using predictive analytics techniques and generate insights for executive decision making and communicating results through insightful visualizations, white papers, reports and presentations
        • -
        • Research business problems, develop solutions to support investigation and analysis and lead progression of analytics methodology, tools and measurement to create development templates for automation
        • -
        • Build the foundation of information in consolidated data repositories for Operations, Fraud Events, Fraud Performance and Financials
        • -
        • Provide a complete picture of the fraud landscape with drill-down capabilities for root cause analysis and deliver self-serve interactive visualizations through accessible platforms like Tableau
        • -
        • Conduct Code Reviews and develop standards for Development practices and partner with project teams to support information required for analysis of the current state
        • -
        • Deliver Project Reporting for Fraud Events, Performance, Operational and Financial KPI’s and KRI’s and Program Benefits measurements to track success criteria of the Project Business Case
        • -
        -

        -

        What do you need to succeed?

        -

        Must-have

        -
          -
        • 2+ years’ experience in a Data science and analytics
        • -
        • Advanced capability in using Python, R, PySpark, SAS, SQL and Tableau
        • -
        • Experience with Databases and Data Structures (RDBMS, Hadoop etc.)
        • -
        • Ability to apply data and analytics concepts to business problems and explain business value of data and analytics concepts
        • -
        • Ability to multi-task and prioritize and complete projects effectively and in a timely manner
        • -
        • Strong team player with a track record of collaboration and experience working as part of an agile team
        • -
        • Professional verbal and written communication and presentation skills, and ability to provide consultation, analysis, and recommendations on a broad range of projects in a deadline driven environment with ambiguity
        • -
        -

        -

        Nice-to-have

        -
          -
        • Good understanding of Canadian Financial Institutions, with a focus on Fraud/Risk Operations
        • -
        • Degree in mathematics, statistics, economics, computer science, software engineering or related quantitative field
        • -
        -

        -

        What’s in it for you?

        -

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

        -
          -
        • Fair compensation
        • -
        • Challenging work in a fast-paced timeline driven work environment
        • -
        • Ability to make a difference and lasting impact
        • -
        • Work with a great and supportive team
        • -
        -

        -

        RBC is committed to supporting flexible work arrangements when and where available. Details to be discussed with Hiring Manager.

        -

        -

        -

        -

        Job Summary

        -

        Address:

        TORONTO, Ontario, Canada

        City:

        CAN-ON-MISSISSAUGA, CAN-ON-TORONTO

        Country:

        Canada

        Work hours/week:

        37.5

        Employment Type:

        Full time

        Platform:

        Personal and Commercial Banking

        Job Type:

        Regular

        Pay Type:

        Salaried

        Posted Date:

        2023-06-08

        Application Deadline:

        2023-06-24
        -

        Inclusion and Equal Opportunity Employment

        -

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

        -
        -

        Join our Talent Community

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

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

        -
        ",,https://jobs.rbc.com/ca/en/job/R-0000061663/Manager-Fraud-Research-and-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-07-27T01:51:02.761Z,False,0,2,2,https://talenthub.vectorinstitute.ai/jobs/239939846-manager-fraud-research-and-analytics-at-rbc,,draft,2023-06-27T01:51:02.748Z,import-xml-feed:RBC-Job-Feed,,,,,,, -0a5dc02e-7262-4b4a-89bf-2f52b959f79e,237677739,Sun Life Financial,Senior Data Engineer,on_site,"Ontario, Canada",2023-06-20T02:15:02.569Z,"
        -

        You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

        -

        -

        -

        Job Description:

        -

        -

        At Sun Life, we work together, share common values and encourage growth and achievement. We offer many career paths that attract a wide variety of talent and skills. Follow a path that lets your talents shine.

        -

        -

        Role Summary:

        -

        -

        The Client Experience Office (CXO) is an important pillar of Sun Life’s corporate strategy and as such, is seeking experienced data engineering individuals with a proven track record working with data consumers to extract meaningful insights from enterprise data. Senior Business data engineers play an indispensable role in assembling the necessary data products that fuel myriad of analytical models used by our various business units across Canada.

        -

        -

        Reporting to the Manager of Data Engineering, the Senior Business Data Engineer will be a key member of Data Enablement Team responsible for building enriched data products that provide deep insights about our Client, Advisor, Product, Transactions along with their intricate relationships. The Senior Business Data Engineer will work with data analysts and data scientists to help answer complex business enquires such as identifying new business opportunities, understanding our client behavior and optimizing areas of our sales cycles.

        -

        -

        What will you do?

        -
          -
        • Obsessed with understanding our enterprise data and interpreting it in the best way possible to derive business value

        • -
        • Design and engineer data models that represent our key business entities such as our Advisor, Client & Product

        • -
        • Ensure high level of data quality and data integrity are maintained across data sources for business

        • -
        • Convert complex business and technical rules into logic for data flows and data pipelines

        • -
        • Work with our Data Science teams to implement data products for various use cases

        • -
        • Collaborate with stakeholders and incorporate into solution design for various use case requirements

        • -
        • Standardize metadata into a common glossary along with the necessary documentation for data consumers

        • -
        -

        -

        What do you need to succeed?

        -
          -
        • 3-5 years hands-on experience working on AWS technologies for data processing and analytics

        • -
        • 2+ years experience with AWS Glue for ETL

        • -
        • 3 years experience in Pyspark and SQL

        • -
        • 5 years hands-on experience with relational database systems, relational models, dimensional models etc.

        • -
        • 3-5 years experience with engineering data products as input to various analytical models

        • -
        • 3-5 years building feedback loops between model deployment and its data – i.e. tune & tweak data products to achieve scale, optimization, etc.

        • -
        • Sound understanding of data management principles (data warehousing, data quality, master data management, etc.)

        • -
        • Sound understanding of data modelling and a passion for analytics

        • -
        • Proven track record in leveraging SQL and SQL-based programming to solve business problems

        • -
        • Ability to translate complex business requirements into a set of data ingestion pseudocode

        • -
        • Proven ability to leverage knowledge of data engineering to extract, conform and integrate a variety of operational data sources into production-grade data products

        • -
        • Demonstrate blend of tenacity, creativity, and discipline required to develop ground breaking self-serve data models that data scientists can consume

        • -
        • Excellent verbal and written communication skills; have executive presence and proven ability to partner with Data Scientists to articulate insights gleaned from the model and the underlying data

        • -
        -

        -

        Education and Qualifications:

        -
          -
        • Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent

        • -
        • Graduate degree in business or quantitative science strongly preferred

        • -
        -

        -

        Unique Requirements

        -
          -
        • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

        • -
        • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

        • -
        -

        -

        What would be nice to have?

        -
          -
        • Understand and Embrace Agile Operating Model

        • -
        • Proven Experienced working as Product Owner in Scrum or Service Request Manager in Kanban projects

        • -
        • Experience working in a large financial services organization

        • -
        • Knowledge of fundamental statistical models & techniques

        • -
        -

        -

        What\'s In It For You?

        -
          -
        • Great Place to Work® Certified in Canada and the US - 2022

        • -
        • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

        • -
        • Named “Best Places to Work” by Glassdoor - 2021

        • -
        • Canada Award for Excellence for Mental Health at Work - 2021

        • -
        • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid, #LI-Remote

        • -
        • Competitive salary and bonus structure influenced by market range data

        • -
        • Pension, stock and savings programs to help build and enhance your future financial security

        • -
        • A friendly, collaborative, and inclusive culture

        • -
        • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

        • -
        • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

        • -
        -

        -

        -

        The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

        -

        -

        Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

        -

        -

        Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

        -

        -

        At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

        -

        -

        We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

        -

        -

        Salary Range:

        74,100/74 100 - 120,800/120 800

        -

        Job Category:

        Advanced Analytics

        -

        Posting End Date:

        18/06/2023
        ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Business-Data-Engineer_JR00076392-2?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-07-20T02:15:02.577Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/237677739-senior-data-engineer-at-sun-life-financial,,draft,2023-06-20T02:15:02.569Z,import-xml-feed:Sunlife-Job-Feed,,,,,,, -96a7d028-611a-4c59-970c-9b5e9ac3b9fb,237677552,Loblaw Companies Ltd,Data Analyst,on_site,"Ontario, Canada",2023-06-20T01:44:01.816Z,"
        -

        Referred applicants should not apply directly to this role.

        -

        All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

        -

        -

        -

        Location:

        500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

        -

        When you hire great people, great things can happen.

        -

        PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

        -

        -

        Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

        -

        -

        Please note: this posting is to pipeline for future needs

        -

        -

        Why This Role is Important

        -

        The objective of our Payment Decision Support team is to provide reporting and analytics services to allow PC Financial to capitalize on diverse sources of data to improve the understanding of customer behaviors to drive profitability and improve customer experience. This role will deliver accurate, easy-to-use and timely data and reporting solutions to enable evidence-based decisions across the enterprise.

        -

        -

        What You\'ll Do

        -
          -
        • Code using SQL, SAS, and Python, in SAS and Google Cloud platforms.
        • -
        • Build and productionize business critical data processes
        • -
        • Optimize and automate data solutions
        • -
        • Build data marts and Tableau/Excel reports
        • -
        • Follow and implement data standards, guidelines on data ownership, coding structures
        • -
        • Monitor data quality and identify, investigate, and resolve data discrepancies
        • -
        • Interact with partners at various levels to deliver data solutions, identify use-cases around data and data processes
        • -
        • Closely adhere to legal guidelines regarding working with critical and confidential information
        • -
        -

        -

        What You\'ll Need

        -
          -
        • 1-2 years of experience in a data analytics role, preferably in financial services/banking domain
        • -
        • University degree in Business/Commerce, Computer Science/Engineering/Analytics -
        • -
        • Solid understanding of Python and Cloud technology. Experience with GCP (Google Cloud Platform) is a bonus.
        • -
        • Understanding of data warehouse and data mart concepts
        • -
        • Working knowledge of relational databases and SQL data extraction and manipulation tools
        • -
        • Experience in SAS and BI tools.
        • -
        • Ability to interpret sophisticated data flow and translate it into concise, easily understood solution plans to senior staff members
        • -
        • Demonstration of problem solving using combination of technical know-how, soft skills and business understanding
        • -
        • Experience in any of the following verticals is an asset: financial services/banking, credit cards/payments, ETL pipeline build, data mart creation, process automation.
        • -
        • Ability to prioritize between challenging tasks/requirements in a fast-paced environment
        • -
        -

        -

        -

        Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

        -

        -

        -

        Number of Openings:

        0

        -

        PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

        -

        -

        In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

        -

        -

        -

        Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

        -
        ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Data-Analyst_R2000323206?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-07-20T01:44:01.825Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/237677552-data-analyst-at-loblaw-companies-ltd,,draft,2023-06-20T01:44:01.816Z,import-xml-feed:Loblaws-Job-Feed,,,,,,, -4e9387f5-c8ee-4007-a737-5b15dcb45c1c,237205977,Scotiabank,"Senior Manager, Business Analyst - Retail & Small Business (Contract)",on_site,Canada : Ontario : Toronto,2023-06-17T15:52:04.720Z,"

        -

        -

        -

        -

        Requisition ID: 177190

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

        -

        -

        The world is changing faster than ever and so are we!

        -

        -

        “Big data” fed by “complex processes” representing “massive stakes” are not just buzzwords to us; they are a genuine reflection of our daily life. Our goal is to be nothing less than The Leading Bank in The Americas that puts Customers First. Achieving this will require us to assemble and retain a Winning Team that can both design and run highly-predictive decisioning and forecasting models that accurately reflect reality. To put things in perspective, our models underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of billions of dollars safe, every single day. We are fortunate to have a world-class team of Data Scientists and Model Operations personnel building and deploying incredible risk models. But they need your help.

        -

        -

        Our Model Operations team is responsible for ensuring that every part of the model lifecycle, from planning to data selection, development to implementation, deployment to monitoring is as well documented, controlled, effective and efficient, as possible. Getting models to market quickly is important but getting them “right” is even more so. That is where you come in:
        You are capable of poking around “under the hood”, asking questions ad-nauseam (in a polite and collaborative way), mapping real world processes to data flows and sources, accurately estimating financial impacts, and implementing analytic pilots to test your hypotheses while spec’ing out how our modeling teams should use what you discovered.

        -

        -

        We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

        -

        -

        What Are We Looking For?

        -

        -

        We want talented, pragmatic, analytically-oriented business analysts who are equally at home mapping and translating operational processes into business rules / algorithms and data flows, as they are challenging and working collaboratively with a diverse range of stakeholders to discover what everyone “does” (and, in fact, doesn’t) know (or remember) in the interest of improving our automated decision-making, forecasting and capital allocation.

        -

        -

        We want bright and energetic but disciplined minds who come armed with a bottomless sense of curiosity about everything, a passion for getting things done right the first time, the ability to prioritize, a knack for explaining complex issues in simple concise ways and a deep sense of personal and professional accountability.

        -

        -

        The ideal candidate will be a consummate team player who is equally comfortable being a:

        -
        • Senior Business Analyst / Business Consultant / Senior Financial Analyst
        • Process Engineer / Lead
        • Senior Data Analyst
        • Software Architect
        • -
        -

        -

        Make an Impact
        As Canada’s only truly global bank, we offer the opportunity to work in markets and with teams you may not otherwise get exposure to. You will be a critical member of a team collaborating, on a near daily basis, with a wide range of cross-bank stakeholders and internal partners including Data Scientists, Business Line & Operations leaders, Technology & Data teams, Finance, Model Operations, and internal challenge functions.

        -

        -

        You will work, day-to-day under the direction of the Model Operations team, leveraging your analytic thinking and approach to support the efforts of either the Director, Forecasting Models or the Director, Decisioning Models to:

        -
        • Plan and manage initiatives,
        • Map and / or re-engineer key processes, data flows and / or business rules
        • Translate concepts into algorithms and architect implementation solutions in accordance with business needs, and internal / regulatory policies and guidelines.
        • -
        -

        -

        Potential deliverables / outcomes may include (but not be limited to):

        -
        • Improved operational efficiency and effectiveness
        • Quantitative analysis to support ongoing decision-making
        • Business, implementation, and project plans that get executed to completion
        • Business rules, financial formulae, and algorithms
        • Recommendations of what else “we should look into / fix” next
        • -
        -

        -

        Is This Role Right for You?

        -
        • You believe, first and foremost, in always doing the right thing and doing things the right way
        • You are both deeply curious and highly pragmatic
        • You are comfortable with data, analytic / technical and business processes
        • You relish ambitious but realistic goals and are committed to achieving them
        • You are comfortable initiating conversations and collaborating with diverse personalities
        • You are social, engaging, not afraid to ask questions and relish the opportunity to both learn and challenge how things are done in a polite and respectful way
        • You can prioritize activities to deliver the right balance of “quick wins” & lasting solutions
        • You understand and embrace the responsibility and weight that comes with the fact that your work will impact numerous high-level stakeholders
        • You look forward to sharing your ideas and insights through both high-quality effective and concise verbal & written communications
        • You are professional, motivated AND FUN. We mean it.
        • -
        -

        -

        What Do You Need to Succeed?

        -

        General

        -
        • Bachelor’s Degree in Engineering, Information Sciences, Business / Commerce, Finance, or equivalent field
        • A demonstrated history of problem solving and sound judgment
        • Experience in leadership as a Management Consultant, Senior Business Analyst, Process Engineer / Lead, Senior Financial Analyst or Senior Data Analyst with a track record of accomplishments working on cross-functional teams
        • Fluent English-language verbal and written communications: the ability to distill complex and ambiguous operational processes, business requirements / rules and data sets into process flows and analysis, concisely convey technical requirements and requests, prepare and edit high-quality documentation, and be accepted as a trusted advisor by peers
        • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines
        • -
        -

        ​​​​​​​

        -

        Technical

        -
        • Strong fundamental understanding of business analysis, requirements definition, process mapping, data mapping and financial analysis
        • 5+ years of overall experience in consulting, business analysis or process engineering roles translating complex human processes to mathematical algorithms
        • Highly proficient with business productivity (ex., Visio, MS Project, JIRA, Teams, Lists), data governance / lineage (ex. Informatica, Collibra) and data management (SQL, Excel, PowerBI) tools
        • Refined ability to translate data extraction, transformation, and analysis into queries / code (SQL)
        • -
        -

        -

        Nice to Have’s

        -


        General

        -
        • Proficient reading, writing and speaking Spanish
        • Domain expertise with retail & small business banking products and / or risk management practices
        • Familiarity with credit risk models / scorecards
        • Lean, Six Sigma, TQM or other process management frameworks and/or expertise
        • -
        -

        ​​​​​​​

        -

        Technical

        -
        • An understanding of statistical prediction, estimation and forecasting models
        • Programming experience (Python, SAS) with both legacy / traditional (RDBMS) and big data (Hadoop / Hive / Spark) systems
        • An appreciation for advanced statistical approaches used to assess and address uncertainty
        • -
        -

        ​​​​​​​​​​​​​​

        -

        What’s in It for You?
        We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e., true innovation), and celebrates success!
        You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders

        -

        -

        Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/Senior-Manager%2C-Business-Analyst-Retail-&-Small-Business-%28Contract%29/569813117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-17T15:52:04.736Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237205977-senior-manager-business-analyst-retail-small-business-contract-at-scotiabank,https://jobs.scotiabank.com/job/Senior-Manager%2C-Business-Analyst-Retail-&-Small-Business-%28Contract%29/569813117/,draft,2023-06-17T15:52:04.720Z,import-xml-feed:Scotiabank,,,,,,, -5ba2f087-7473-45cc-acdc-2dc842b0ee5f,237205978,Scotiabank,"Manager, Financial Planning & Analysis, and Expense Oversight",on_site,Canada : Ontario : Toronto,2023-06-17T15:52:04.823Z,"

        -

        -

        -

        -

        Requisition ID: 178703

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

        -

        -

        Purpose
        The Manager is a senior-level role and is a key partner in supporting Scotia Global Asset Management (SGAM) within Global Wealth Management. The role is responsible for financial planning and analysis, including compensation expense oversight and governance, modeling, financial reporting for SGAM, providing financial insight to the business lines partners (internal and external views).
        The role reports to the Senior Manager and works in close partnership with the business leaders, and other business partners on reporting, analysis, and continuously looking for opportunities for process optimization. The role is required to demonstrate strong leadership skills to drive adoption of new financial planning (budgeting and forecasting) processes and procedures within Scotia Global Asset Management Finance

        -

        Key Accountabilities

        -

        1. Reporting - Preparation of monthly and quarterly business line results for the business

        -

        Lead and be responsible for the monthly, quarterly and annual financial management reporting, maintaining effective controls and ensuring that timely and accurate information is reported to Senior Management
        • Closing Journal Entries and Trial Balance Process
        o Assist in the preparation of monthly journal entries and supporting entries for business line allocations, as needed
        o Oversight and review of monthly journal entries/ results
        • Prepare monthly/quarterly reporting and analysis package and report on monthly & YTD actual business results relative to plan/forecast/previous year activity.
        • Prepare monthly/quarterly dashboard for senior management, and monthly departmental expense report for department heads.
        • Complete quarterly Blue Book, Business Line, Quarterly Overview, and Revenue & Expense Variance analysis and commentary for submission to Senior Management.
        • Ownership of timely collection of financial and non-financial data from business and support groups.
        • Consolidation of brand level results and provide relevant commentary for Asset Management.
        • Complete analytical review to:
        o Ensure completeness and reasonability of forecast, and provide viable solutions to issues raised.
        o Understand the relevant performance of Asset Management business plan vs actuals.
        • Presentation and communication of monthly/quarterly results to business heads.
        • Establish and maintain systems to efficiently manage the reporting process.

        -

        -

        2. Forecasting and Annual Profit Plan

        -

        Lead and proactively manage the forecasting and annual profit planning process for the business.
        • Timely and accurate preparation of forecast and budgets relating to business units and support groups.
        • Working closely with the business units, prepare quarterly, whole-year revenue and expense forecasts for submission to Senior Management.
        o Ownership of timely collection of financial and non-financial data from business lines.
        • Complete analytical review to:
        o Ensure completeness and reasonability of forecast, provide viable solutions to issues raised.
        o Understand the relevant performance of the business to base forecast.
        • Ensure accuracy and completeness of information – profit plan, quarterly update, and full-year forecast. For forecasting purposes, recommend financial models and inputs, set appropriate drivers or strategic benchmarks.
        • Ensure timely submission of annual profit plan, including analysis of all major revenue and expense categories.
        • Coordinate the completion and review of the departmental expense budgets with Department Heads.
        • Complete profit plan analysis and presentation deck to senior management team.

        -

        -

        3. Business Partnership and Compensation Support
        • Variable compensation plan oversight, governance and modeling.
        • Be a subject matter expert on the components of the compensation plans and ensure they are adhered to.
        • Perform ongoing data integrity inspections and reconciliations to confirm the validity and credibility of the data used in compensation models and other SGAM reporting.
        • Manage, prioritize and negotiate timelines for various ad-hoc requests as required, including requests for data, change requests, reporting and modeling.
        • Develop/ Improve detailed driver-based excel models to aid in the monthly expense and forecasting process.
        • Responsible for the monthly stock-based compensation entries, including forecasting and planning of vesting schedules.
        • For external third-party sub-advisors, responsible for calculating the settlement of fees and payment of invoices.
        • Responsible for the accurate and timely delivery of monthly and quarterly performance incentive measures for key business partners, including accountability for calculating, reporting, and forecasting of various incentive compensation plans.
        • Respond in a timely manner to support inquiries from the business partners.
        • Provide Management monthly reporting and commentary for expense variances related to compensation.

        -

        -

        4. Expense Management, Oversight and Governance
        • Reporting: Actively support Asset Management Finance team with the monthly & quarterly financial reporting & analysis. Such as (not limited to):
        o Prepare month-end and quarter-end financial results.
        o Ensure accuracy and completeness of financial results.
        o Complete variance analysis to understand significant transactions, and drivers for variance.

        -

        -

        5. Special Projects:
        • Responsible for providing financial insight on strategic initiatives pertaining to the introduction of new products, compensation programs and processes designed to increase the profitability or efficiency of management practices. Incumbent is expected to provide:
        o Creative input, in-depth analysis and innovative thinking
        o Understanding of business drivers and key success factors
        o Design of complex financial models and conceptual scenarios
        o Crafting and presenting recommendations to various levels of Senior Management
        o Creating financial metrics and analytics with a view to maximizing long-term profitability.

        -

        • Design, develop and maintain profitability models and management reports for the business unit, to drive and support decision-making for Management.
        • Business Insights and Analytics: periodically prepare insightful analysis on financial information and trends to support management reporting

        -

        -

        Other Responsibilities:
        Provides resolution to Finance request for information on financial and management reports, revenue, and expense analysis and any other finance-related inquiries. Also, assist in various ad-hoc reporting for Senior Management.

        -

        -

        Functional Competencies

        -

        • University degree specializing in Finance/Accounting.
        • A professional accounting designation (CPA, CGA or CMA), or MBA would be an asset
        • Minimum of 2 continuous years of work experience is required.
        • Strong technical skills, and knowledge of Microsoft Office Suite (Excel, Access, PowerPoint etc.).
        • High level of accuracy and keen eye for detail.
        • Strong collaboration and communication skills. Ability to communicate results and recommendations to management in a clear and concise manner.
        • Independent initiative and highly motivated team player.
        • Exceptional organizational skills to prioritize, manage and implement a variety of competing initiatives on a concurrent or staggered basis.
        • An analytical mindset and investigative abilities.
        • Experience working with large data sets, manipulating data, and/or databases.
        • Results-driven individual with high level of curiosity and ability to dive into details without losing sight of the big picture.
        • Excellent financial analysis skills combine with a strong foundation in performance measurement criteria, to deliver sound financial recommendations.
        • Experience building financial models and or process improvements.
        • Strong knowledge of the securities and financial services industry (ie investment funds industry) an asset.

        -


        #scotiafinancejobs

        -

        -

        Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/Manager%2C-Financial-Planning-&-Analysis%2C-and-Expense-Oversight/570651017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-17T15:52:04.834Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/237205978-manager-financial-planning-analysis-and-expense-oversight-at-scotiabank,https://jobs.scotiabank.com/job/Manager%2C-Financial-Planning-&-Analysis%2C-and-Expense-Oversight/570651017/,draft,2023-06-17T15:52:04.823Z,import-xml-feed:Scotiabank,,,,,,, -feb7848f-fe33-49d8-9f12-b52323cc964f,237205976,Scotiabank,"Manager, Business Analyst - Retail & Small Business (Contract)",on_site,Canada : Ontario : Toronto,2023-06-17T15:52:04.509Z,"

        -

        -

        -

        -

        Requisition ID: 177191

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

        -

        -

        The world is changing faster than ever and so are we!

        -

        -

        “Big data” fed by “complex processes” representing “massive stakes” are not just buzzwords to us; they are a genuine reflection of our daily life. Our goal is to be nothing less than The Leading Bank in The Americas that puts Customers First. Achieving this will require us to assemble and retain a Winning Team that can both design and run highly-predictive decisioning and forecasting models that accurately reflect reality. To put things in perspective, our models underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of billions of dollars safe, every single day. We are fortunate to have a world-class team of Data Scientists and Model Operations personnel building and deploying incredible risk models. But they need your help.

        -

        -

        Our Model Operations team is responsible for ensuring that every part of the model lifecycle, from planning to data selection, development to implementation, deployment to monitoring is as well documented, controlled, effective and efficient, as possible. Getting models to market quickly is important but getting them “right” is even more so. That is where you come in:
        You are capable of poking around “under the hood”, asking questions ad-nauseam (in a polite and collaborative way), mapping real world processes to data flows and sources, accurately estimating financial impacts, and implementing analytic pilots to test your hypotheses while spec’ing out how our modeling teams should use what you discovered.

        -

        -

        We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

        -

        -

        What Are We Looking For?

        -

        -

        We want talented, pragmatic, analytically-oriented business analysts who are equally at home mapping and translating operational processes into business rules / algorithms and data flows, as they are challenging and working collaboratively with a diverse range of stakeholders to discover what everyone “does” (and, in fact, doesn’t) know (or remember) in the interest of improving our automated decision-making, forecasting and capital allocation.

        -

        We want bright and energetic but disciplined minds who come armed with a bottomless sense of curiosity about everything, a passion for getting things done right the first time, the ability to prioritize, a knack for explaining complex issues in simple concise ways and a deep sense of personal and professional accountability.

        -

        -

        The ideal candidate will be a consummate team player who is equally comfortable being a:

        -
        • Business Analyst / Business Consultant / Financial Analyst
        • Process Engineer
        • Data Analyst
        • Software Architect
        • -
        -

        -

        Make an Impact
        As Canada’s only truly global bank, we offer the opportunity to work in markets and with teams you may not otherwise get exposure to. You will be a critical member of a team collaborating, on a near daily basis, with a wide range of cross-bank stakeholders and internal partners including Data Scientists, Business Line & Operations leaders, Technology & Data teams, Finance, Model Operations, and internal challenge functions.

        -

        -

        You will work, day-to-day under the direction of the Model Operations team, leveraging your analytic thinking and approach to support the efforts of either the Director, Forecasting Models or the Director, Decisioning Models to:

        -
        • Plan and manage initiatives
        • Map and / or re-engineer key processes, data flows and / or business rules
        • Translate concepts into algorithms and architect implementation solutions in accordance with business needs, and internal / regulatory policies and guidelines.
        • -
        -

        -

        Potential deliverables / outcomes may include (but not be limited to):

        -
        • Improved operational efficiency and effectiveness
        • Quantitative analysis to support ongoing decision-making
        • Business, implementation and project plans that get executed to completion
        • Business rules, financial formulae and algorithms
        • Recommendations of what else “we should look into / fix” next
        • -
        -

        -

        Is This Role Right for You?

        -
        • You believe, first and foremost, in always doing the right thing and doing things the right way
        • You are both deeply curious and highly pragmatic
        • You are comfortable with data, analytic / technical and business processes
        • You relish ambitious but realistic goals and are committed to achieving them
        • You are comfortable initiating conversations and collaborating with diverse personalities
        • You are social, engaging, not afraid to ask questions and relish the opportunity to both learn and challenge how things are done in a polite and respectful way
        • You can prioritize activities to deliver the right balance of “quick wins” & lasting solutions
        • You understand and embrace the responsibility and weight that comes with the fact that your work will impact numerous high-level stakeholders
        • You look forward to sharing your ideas and insights through both high-quality effective and concise verbal & written communications
        • You are professional, motivated AND FUN. We mean it.
        • -
        -

        ​​​​​​​

        -

        What Do You Need to Succeed?
        General

        -
        • Bachelor’s Degree in Engineering, Information Sciences, Business / Commerce, Finance, or equivalent field
        • A demonstrated history of problem solving and sound judgment
        • Experience as a Management Consultant, Business Analyst, Process Engineer, Financial Analyst or Data Analyst with a track record of accomplishments working on cross-functional teams
        • Fluent English-language verbal and written communications: the ability to distill complex and ambiguous operational processes, business requirements / rules and data sets into process flows and analysis, concisely convey technical requirements and requests, prepare and edit high-quality documentation, and be accepted as a trusted advisor by peers
        • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines
        • -
        -

        ​​​​​​​

        -

        Technical

        -
        • Strong fundamental understanding of business analysis, requirements definition, process mapping, data mapping and financial analysis
        • 3-5 years of overall experience in consulting, business analysis or process engineering roles translating complex human processes to mathematical algorithms
        • Highly proficient with business productivity (ex., Visio, MS Project, JIRA, Teams, Lists), data governance / lineage (ex. Informatica, Collibra) and data management (SQL, Excel, PowerBI) tools
        • Refined ability to translate data extraction, transformation and analysis into queries / code (SQL)
        • -
        -

        -

        Nice to Have’s
        General

        -
        • Proficient reading, writing and speaking Spanish
        • Domain expertise with retail & small business banking products and / or risk management practices
        • Familiarity with credit risk models / scorecards
        • Lean, Six Sigma, TQM or other process management frameworks and/or expertise
        • -
        -

        ​​​​​​​

        -

        Technical

        -
        • An understanding of statistical prediction, estimation and forecasting models
        • Programming experience (Python, SAS) with both legacy / traditional (RDBMS) and big data (Hadoop / Hive / Spark) systems
        • An appreciation for advanced statistical approaches used to assess and address uncertainty
        • -
        -

        ​​​​​​​

        -

        What’s in It for You?
        We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e., true innovation), and celebrates success!
        You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
        You’ll have fun. We do.

        -

        -

        Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/Manager%2C-Business-Analyst-Retail-&-Small-Business-%28Contract%29/569814017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-03T15:57:04.998Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/237205976-manager-business-analyst-retail-small-business-contract-at-scotiabank,https://jobs.scotiabank.com/job/Manager%2C-Business-Analyst-Retail-&-Small-Business-%28Contract%29/569814017/,draft,2023-06-17T15:52:04.509Z,import-xml-feed:Scotiabank,,,,,,, -8c22133a-f188-477d-b06c-7b0be7f18e51,237206042,Magna International,"Senior Analyst, Canadian Tax",on_site,"Aurora, ONTARIO, CA, L4G 0G9",2023-06-17T16:04:05.489Z,"
        -
        -

        Role Summary

        -
        -

        -

        The Senior Analyst, Canadian Tax is responsible for the reporting and compliance of two or more automotive systems groups. The Senior Analyst, Canadian Tax will work with other tax members to complete the primary responsibilities described and will also support senior members of the Tax Team in dealing with income tax audits, tax research and special projects.

        -
        -
        -
        -

        Key Responsibilities

        -
        -

        -
        • Prepare and review federal and provincial income tax returns for the Group, including related working papers
        • Prepare and review documentation for foreign affiliate reporting
        • Compute tax instalments and ensure payments are made on a timely basis
        • Assist with updating ACB, PUC, safe income and foreign affiliate surplus calculations
        • Assist with technical research and analyses (Canadian domestic and foreign affiliate issues) for reporting and planning purposes
        • Assist with external tax audits
        • Tax accounting for quarterly income tax provisions according to US GAAP, including tax estimates for both planning and reporting purposes
        • Ensure compliance with internal control policies on tax related matters
        • Work closely with group and divisional controllers to build creditable, collaborative and effective working relationships
        • Implement and maintain best practices to minimize tax risk
        • Carry out all duties in accordance with company’s internal policies and procedures including the company’s Corporate Constitution and Employee Charter
        • Support other projects/transactions and carry out other administrative duties, as required
        • -
        -
        -
        -
        -

        Key Qualifications/Requirements

        -
        -

        -

        Knowledge and Education

        -

        -
        • Recognized accounting designation or MTAX degree
        • -
        -


        Work Experience

        -

        -
        • Minimum of 3 years of accounting experience, primarily working in corporate tax
        • Must have a strong desire to pursue a career in corporate tax
        • Maintain good standing in the relevant accounting body and continued self-development
        • -
        -

        -

        Skills and Competencies

        -

        -
        • Ability to work effectively both in a team environment and independently
        • Strong organization and time management skills, with the ability to prioritize and meet deadlines
        • Effective and efficient written and verbal communication skills
        • Strong analytical and problem-solving skills
        • Advanced Excel skills
        • Technologically proficient (Microsoft Suite, etc.)
        • -
        -

        -

        Work Environment

        -

        -
        • Standard work environment
        • -
        -
        -
        -
        -

        Additional Information

        -
        -



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

        -

        -

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

        -
        -
        -
        ",,https://jobs.magna.com/job/Senior-Analyst%2C-Canadian-Tax/567213317/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-03T16:09:04.525Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/237206042-senior-analyst-canadian-tax-at-magna-international,https://jobs.magna.com/job/Senior-Analyst%2C-Canadian-Tax/567213317/,draft,2023-06-17T16:04:05.489Z,import-xml-feed:Scrapy-Scraper,,,,,,, -16d6e705-5179-413b-9f7f-fa52d0bebafc,242607507,Scotiabank,"Director, Program Delivery",on_site,Canada : Ontario : Toronto,2023-07-03T15:52:04.259Z,"

        -

        -

        -

        -

        Requisition ID: 179986

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

        -

        -

        Purpose:

        -

        -

        Join a purpose-driven team, committed to achieving a once-in-a-lifetime transformation of Canada’s most international bank. Scotiabank is on an epic journey to migrate all its global data and analytics platforms to the cloud—and you could help us make it happen! As a member of the Customer Insights, Data & Analytics (CIDA) team, the Director, Delivery, Enterprise Data & Analytics Platform Transformation is responsible for the successfully delivery of migration programs to cloud, supporting the design and execution of program strategy, governance, and reporting. A critical element of success for this role is the ability to foster trusted partnerships across all levels of the organization, a clear and concise communicator, with a consistent focus on accelerating maximum value to advance data and analytics across the Enterprise. The incumbent will have the opportunity to:

        -

        -


        • Be empowered to lead and have an impact on a highly complex, fast-paced and global transformation journey as part of a high-performing team of data, analytics and infrastructure (cloud & legacy technology) experts.
        • Work collaboratively with diverse stakeholder groups across Scotiabank to solve problems and deliver practical solutions to difficult challenges.
        • Gain visibility to senior and Executive management at Canada’s most international bank while working in a supportive and flexible work environment/team.
        • Apply strategic thinking, problem-solving and compelling storytelling to create impactful reporting, communications and narratives to help drive decision-making and change management.

        -


        The candidate should be customer and results focused, have keen analytical interest and the ability to impact and influence. This individual should be energized operating within a dynamic and fast-paced environment and find deep satisfaction from building effective solutions to difficult problems.

        -

        -


        Accountabilities:

        -


        • Support the strategy, governance, and implementation of the multi-year cloud transformation program across all geographies and business units.
        • Create delivery team structure and accountability through program management. Ensemble and manage migration initiatives execution teams, including subject matter experts and key stakeholders.
        • Responsible for establishing and managing the projects delivery integrated plans in partnership with the project delivery teams, Data Provisioning, Engineering, Infrastructure and Operational teams to deliver end to end solutions.
        • Establish and maintain the overall program roadmap and related assets, processes, methodologies, and accelerators, working closely with PMO to ensure best practices are followed.
        • Create and manage the program Risks, Actions, Issues, Decisions (RAID) delivery log and help drive decision making and accountability by supporting cross functional executive and senior management forums to align on
        opportunities, challenges and required actions.
        • Act as an oversight (budget, resource allocation, project progress) and where required, provide managerial support ensuring appropriate communications and stakeholder management is undertaken.
        • Proactively identify, report and escalate program issues, challenges and risks and collaborate with internal/external teams to understand business needs and facilitate agile problem solving.
        • Build strong stakeholders’ relationships, ensure that projects success and customer benefits are aligned to overall program goals and expectations.
        • Collaborate with cross-functional program stakeholders to complete planning and prioritization activities and to drive alignment across global and local roadmaps and project plans.
        • Contribute to the design, build and ongoing improvement of effective governance, project management, reporting & communications processes, templates, and tools.
        • Delivers strategic advice, options and recommendations for projects, policies, initiatives, and issues including strategy, analysis, and messaging.
        • Support and contribute to the team’s development and dissemination of key program deliverables, collateral, reporting, and communications.

        -


        Requirements & Qualifications:

        -

        -

        • University Degree in engineering, technology or business, (MBA an asset) or equivalent.
        • Minimum 10 years working in a program or project management, strategy or consulting role within the financial services industry (preferred).
        • +5 Years running and delivering projects in excess of $10MM annually.
        • +5 Years in product and services management
        • Excellent project management skills and product owner mindset with outstanding track record managing large program portfolios in a highly complex and matrixed organization.
        • Strong knowledge of cloud transformation projects, cloud data platforms, cloud capabilities, technical design and architecture, an asset
        • Robust knowledge of and ability to apply business strategy, planning, and relationship management as well as evaluate and execute change activities.
        • Superior communication skills including effective storytelling and stakeholder management in an Enterprise transformation context. Spanish is an asset.
        • Tenacious problem-solving skills and an ability to work with ambiguity to advance deliverables.
        • Ability to work flexibly and prioritize in a fast-paced and deadline-driven environment; resourceful and determined about getting the job done with excellent teaming skills.
        • Ability to make an impact, influence and achieve results with effective negotiation, problem-solving and communication skills.
        • Knowledge of risk management environment, standards and regulations within a financial services organization.
        • Ability to adapt and pivot within a team environment to changing program requirements.
        • Strong organizational skills and meticulous attention to detail.
        • Thorough working knowledge of Microsoft Office suite; Confluence, JIRA and SharePoint skills are an asset.

        -

        -

        Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/Director%2C-Program-Delivery/571682217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-02T15:52:04.287Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/242607507-director-program-delivery-at-scotiabank,https://jobs.scotiabank.com/job/Director%2C-Program-Delivery/571682217/,draft,2023-07-03T15:52:04.259Z,import-xml-feed:Scotiabank,,,,,,, -45ed1080-2042-42ca-9274-c845ae1ce6b0,237206046,Magna International,Senior Internal Auditor,on_site,"Aurora, ONTARIO, CA, L4G 0G9",2023-06-17T16:04:06.518Z,"
        -
        -

        Role Summary

        -
        -

        -

        The Senior Internal Auditor plans, performs and leads independent financial, compliance and other specific audits to ensure that established policies and procedures are followed, and operational and financial standards are met.
        The role is well suited to a professional with internal or external audit or internal controls experience in the automotive manufacturing space with a solid technical background and sound understanding of Internal Audit Professional Auditing standards.

        -

        -

        A successful candidate has excellent people skills, high standards of professionalism, is detail oriented with exceptional organization skills and is able to problem solve and thrive in a fast-paced environment.

        -
        -
        -
        -

        Key Responsibilities

        -
        -

        -
        • Reviews and interprets pre-audit file analysis and auditee data to determine audit scope as well as performs target sample selections using Data Analytics platforms
        • Plans, performs & leads financial, compliance & other audit activities, within specified time periods
        • Uses Internal Audit Management system to plan, perform and document audit work
        • Maintains audit files and documents work performed to department standards ensuring working papers are complete and supported
        • Identifies gaps in internal controls and provides recommendations and advice to strengthen internal controls or improve processes
        • Evaluates audit results to assess the quality and effectiveness of internal operating policies, internal controls, regulatory requirements, administrative procedures & reporting practices
        • Drafts formal, clearly written, and complete audit reports summarizing findings, conclusions, and recommendations
        • Follows up with stakeholders on any recommendations or corrective actions to internal or external audits to ensure continued process improvement & compliance, when required
        • Assists in the coordination of internal audit activities with external auditors and any other required audit/examination teams
        • May provide assistance in performance of investigations of improper activities, including potential fraud matters
        • Seeks opportunities to self-develop skills & experience in relevant audit specialities
        • Other responsibilities may be assigned from time to time by Internal Audit department management
        • -
        -
        -
        -
        -

        Key Qualifications/Requirements

        -
        -

        -

        Knowledge and Education

        +

        Knowledge and Education

        • A University degree in finance, accounting or business is required
        • CPA and/or a CIA designations
        • CISA or CFE designations would be considered an asset.
        @@ -3444,7 +6124,7 @@ beaaa503-dca2-40bc-a18d-2f569a8ba5d3,237206044,Magna International,Electrical En

        Awareness. Unity. Empowerment.

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

        -
        ",,https://jobs.magna.com/job/Guelph-Electrical-Engineer-ONTA-N1H-1A4/567142317/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-17T16:04:05.891Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206044-electrical-engineer-at-magna-international,https://jobs.magna.com/job/Guelph-Electrical-Engineer-ONTA-N1H-1A4/567142317/,draft,2023-06-17T16:04:05.891Z,import-xml-feed:Scrapy-Scraper,,,,,,, +
        ",,https://jobs.magna.com/job/Guelph-Electrical-Engineer-ONTA-N1H-1A4/567142317/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-13T16:09:02.531Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206044-electrical-engineer-at-magna-international,https://jobs.magna.com/job/Guelph-Electrical-Engineer-ONTA-N1H-1A4/567142317/,draft,2023-06-17T16:04:05.891Z,import-xml-feed:Scrapy-Scraper,,,,,,, aa59ebbc-cef5-4025-9f35-dc4ee3916fd0,242608268,Magna International,Millwright Apprentice,on_site,"Concord, ONTARIO, CA, L4K 2R2",2023-07-03T16:04:03.249Z,"

        Role Summary

        @@ -3473,196 +6153,99 @@ aa59ebbc-cef5-4025-9f35-dc4ee3916fd0,242608268,Magna International,Millwright Ap

        Awareness. Unity. Empowerment.

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

        -
        ",,https://jobs.magna.com/job/Millwright-Apprentice/570432517/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-08-02T16:04:03.249Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/242608268-millwright-apprentice-at-magna-international,https://jobs.magna.com/job/Millwright-Apprentice/570432517/,draft,2023-07-03T16:04:03.249Z,import-xml-feed:Scrapy-Scraper,,,,,,, -7f48348c-a934-40cf-bbe3-ad4272d0babd,239887384,Magna International,Accounting Clerk,on_site,"Brampton, ONTARIO, CA, L6R 0A9",2023-06-26T16:04:01.655Z,"
        -
        -

        Role Summary

        -

        Promatek is seeking a high-energy, accounting and finance oriented individual to join the accounting team as an Accounting Clerk. As an Accounting Clerk, s/he will provide day-to-day financial support for the company primarily in the Accounts Payable function and assist with Accounts Receivable. The successful candidate is a self-starter who is detail oriented and will adhere to Magna International’s established policies and procedures in order to maintain the integrity of all financial information.

        -
        -
        -

        Key Qualifications/Requirements

        -
        • Completed post-secondary education with specialization in Accounting or Finance.
        • Minimum 3 to 5 years of experience in Accounts Payable / Accounts Receivable and/or general accounting
        • Detail oriented individual with excellent technical and analytical skills.
        • Excellent organizational and communication skills
        • Demonstrate ability to work effectively within team environment and independently
        • Demonstrate strong interpersonal skills
        • Demonstrate self-motivation and determination attributes
        • Computer literacy with Microsoft Office, especially Excel (Intermediate) and PowerPoint
        • Prior experience with SAP preferred
        • Knowledge of the automotive environment considered an asset
        • Valid Passport and Driver’s License
        • -
        -
        -
        -

        Key Responsibilities

        -
        -

        Daily Accounts Payable Activities:

        -
        • Processes A/P invoices by matching invoicing with packing slips and purchase orders and analyzing invoicing/expenses detail to ensure expenses are charged to the appropriate cost centres/GL account/Project Numbers
        • Ensures appropriate purchase order support and invoicing sign-off is obtained to facilitate vendor payment
        • Process and administer EFTs, ACH, wire transfers and manual cheque releases to supplier payments
        • Investigate and problem solve invoice discrepancies/ respond to supplier inquiries in a timely manner
        • Responsible for the accuracy, approval and processing of all expense reports.
        • Perform reconciliation of Accounts Payables and Open POs by verifying entries and comparing system reports to balances
        • Participates in the overall month-end close process such as intercompany balancing and preparing month-end accruals
        • Liaise with suppliers and other Promatek departments as needed
        • Assist the Controller with Internal & External Audit
        • Support with year-end process and activities
        • -
        -

        Accounts Receivable:

        -
        • Cross training and support in all A/R functions including cash receipts processing, bank deposits, posting cheques, investigating discrepancies and issuing debit/credit memos – back-up and assist in month end A/R processes including intercompany reconciliation’s, HST Reconciliation, reports and analysis – assist and support collection efforts.
        • Assist the Controller with invoicing when required
        • -
        -

        Other Responsibilities:

        -
        • Create new Vendor Accounts when required and perform validity checks
        • Convert Purchase Requisitions into POs and ensure correct GLs and Project Numbers are used
        • Monitor, maintain and improve on internal controls by adhering to Magna’s Minimum Control Procedures
        • Understand and assist with the Capital Expenditure Process
        • Assist with Travel reservations
        • Responsible for filing and archiving Business and Accounting files
        • General Admin office tasks
        • Assist all employees with finance requirements.
        • Perform any other duties as required
        • -
        -
        -
        -
        -

        Additional Information

        -
        -

        GENERAL EXPECTATIONS:

        -
        • Continuously adhere to and apply the Magna Employee’s Charter, the Magna Corporate Constitution, and the Cosma Way of Thinking in all aspects of position and interaction with others.
        • Appreciate and maintain proper level of confidentiality.
        • Understand, promote and work by Promatek’s vision statement.
        • Work in a safe, organized, effective, efficient and proactive manner.
        • Travel may be required occasionally. Note: some of the travel may be outside North America.
        • Demonstrates ability to work effectively within a team environment.
        • -
        -

        WORKING CONDITIONS:

        -
        • Office Environment
        • -
        -

        -
        -
        -
        ",,https://jobs.magna.com/job/Accounting-Clerk/569097317/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-26T16:04:01.656Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/239887384-accounting-clerk-at-magna-international,https://jobs.magna.com/job/Accounting-Clerk/569097317/,draft,2023-06-26T16:04:01.655Z,import-xml-feed:Scrapy-Scraper,,,,,,, -921e5f4a-5cdf-41cf-8c85-9b3e32756490,237205972,Scotiabank,"Manager, Reporting & Analytics (Global Finance)",on_site,Canada : Ontario : Toronto,2023-06-17T15:52:04.058Z,"

        -

        -

        -

        -

        Requisition ID: 177245

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

        -

        -

        Hiring Details:

        -
        • Primary Manager: Senior Manager, Expense Reporting & Analytics
        • Direct Reports: N/A
        • -
        -

        -

        Job Purpose:

        -

        Global Finance - Reporting, Canadian Banking (CB) is a divisional finance function providing financial management and analytical support to Canadian Banking executive management, as well as to the business line management in Retail Banking, Business Banking, and Tangerine areas.

        -

        The Manager is a member of the Expense Reporting & Analysis (ERA) team reporting to the Senior Manager, Expense Reporting and Analysis. ERA is a critical function for the Canadian Banking division and has the responsibility for ensuring effective expense management and optimization of business investments with Canadian Banking’s strategic priorities.

        -

        The Manager has responsibility for the accurate, comprehensive and timely preparation and financial information of CB's monthly and quarterly results, ensuring accurate, comprehensive and timely delivery of reporting and analysis from both statutory and business line perspective, for use in BNS executive and senior management reporting and decision-making.

        -

        Contributes to the overall success of Global Finance – Reporting ensuring specific individual goals, plans, initiatives are executed and delivered in support of business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures

        -

        -

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

        -
        • -Assist with the preparation of quarterly and monthly reporting on assigned Canadian Banking statutory and business line expenses in support of Blue Book deliverables:
          • Coordination and collection of financial data from business units.
          • Perform reasonability review of statutory expense reporting.
          • Review, analyze and prepare statutory journal entries, ensuring accuracy and completeness.
          • Perform analysis of various variances between actual expenses for Canadian Banking direct units and support groups to ensure accuracy and completeness and understandings of significant transactions.
          • Develop product group subject matter expertise including direct unit allocations to external partners.
          • Communicate with individuals in various business units during monthly close and on an ongoing basis.
          • Respond to queries from senior management and participate in the investigation and resolution of reporting issues.
        • -Support Senior Manager in efforts to enhance expense reporting and analytical processes:
          • Co-ordinate processes with other Manager Expense Reporting and assist with leading Senior Analyst.
          • Assist with the annual business line rule set up and chart of account (COFA) management processes
          • Identify issues and make recommendations with a focus on process improvement
        • As required perform adhoc, value added analysis in support of assigned Canadian Banking distribution channels and Product team relationships.
        • Act as a prime liaison with assigned CB units while building strategic relationships to provide support.
        • Provides coaching and training to colleagues and business partners on processes.
        • -
        -

        -

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

        -
        • Solid business acumen and strong analytical and problem-solving skills.
        • Strong oral and written communication skills and the ability to work effectively in a team and ability to communicate with individuals at different levels and a variety of skill-sets and organizational perspectives.
        • High proficiency with computer applications including Microsoft Excel, Word, PowerPoint, OBI/Smartview and any other financial tools.
        • A solid understanding of financial and management reporting principles. Knowledgeable of the Bank’s products, operations and procedures.
        • A good understanding of elements of effective control over integrity and completeness of financial reporting.
        • Highly flexible, detail-oriented, and able to cope with changing priorities and to multi-task under tight deadlines and deliver with a great amount of accuracy and completeness.
        • Excellent attention to details and time management skills.
        • Knowledge of financial accounting and generally accepted accounting principles.
        • Post-secondary degree in Finance or Accounting with minimum 5 to 7 years of relevant experience. Completion or enrollment in an accounting program is preferred (i.e. CPA, MBA)
        • -
        -

        -

        What’s in it for you?

        -
        • An inclusive & collaborative working environment that encourages creativity, curiosity, and celebrates success!
        • We offer a competitive rewards package: Performance bonus, Employee Share Ownership Program, and Pension Plan Matching, Health Benefits from day one!
        • Your career matters! You will have access to career development and progression opportunities.
        • -
        -

        -

        #scotiafinancejobs

        -

        -

        Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/Manager%2C-Reporting-&-Analytics-%28Global-Finance%29/569782217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-03T15:57:04.998Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/237205972-manager-reporting-analytics-global-finance-at-scotiabank,https://jobs.scotiabank.com/job/Manager%2C-Reporting-&-Analytics-%28Global-Finance%29/569782217/,draft,2023-06-17T15:52:04.058Z,import-xml-feed:Scotiabank,,,,,,, -24a1ebb1-8815-4ad5-adec-c503ba9fdd0d,238529795,TD Bank Group,Sr Business Analyst HR Support Application,on_site,"Toronto, ON",2023-06-22T15:53:04.467Z,"
        -

        Company Overview

        -
        -

        Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

        -

        Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

        -
        -

        -

        Department Overview

        -
        -

        What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

        -

        We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

        -
        -

        -

        Job Description

        -
        -

        -

        About this Role

        -

        As an expert in data and analytics, you will provide in depth expertise, analytical interpretation, key insights and action items to your multi-functional business partners across the organization. Those insights will be brought to bear to enable informed and enabled business decisions enterprise wide or help to solve the increasingly complex business problems they face.

        -

        In this role, TD will look to as a thought leadership as well as a leader in your space, coaching, mentoring, empowering and educating your peers to collaborate and bring TD into the future of banking.

        -

        -

        As a Senior Business Insights Analyst, you will:

        -
          -
        • Apply understanding of respective business strategies to produce relevant and substantial data analysis to support business goals and objectives
        • -
        • Develop analysis to illustrate business trends and identify areas of business opportunities
        • -
        • Produce insights and recommend business actions to align with strategy and/or solve business problems
        • -
        • Provide seasoned specialized knowledge, advice and/or mentorship to various business and working partners
        • -
        • Execute on data requests accurately and within a timely manner
        • -
        • Represent functional area as an analytics & insights professional and key resource; build positive and productive working partnerships
        • -
        • Act as a bridge to translate business requirements to analytics and reporting needs for a given domain
        • -
        • Provides day-to-day support and delivery of analytics
        • -
        • Work independently as the senior analyst/subject matter expert and may coach and educate others
        • -
        • Considered an authority within a given area
        • -
        • Oversee and/or independently perform tasks from end to end
        • -
        -
        -

        -

        Requirements

        -
        -What can you bring to TD?
        Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

        -
          -
        • Undergraduate degree or technical certificate
        • -
        • Three to Five (3-5) or more years relevant experience
        • -
        • Experience working on PeopleSoft
        • -
        • Experience with Workday or similar HR CRM system
        • -
        • SQL
        • -
        -
        -

        -

        Additional Information

        -
        #LI-Hybrid
        -

        -

        Flexible Work Options

        -
        N/A
        -

        -

        Hours

        -
        37.5
        -

        -

        Inclusiveness

        -

        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

        -

        -
        ",,https://jobs.td.com/en-CA/jobs/18622456/sr-business-analyst-hr-support-application-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-07-22T15:53:04.478Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/238529795-sr-business-analyst-hr-support-application-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18622456/sr-business-analyst-hr-support-application-toronto-ca/,draft,2023-06-22T15:53:04.467Z,import-xml-feed:TD-Bank-Group---Job,,,,,,, -2da8eebd-1848-467c-8a4d-4a38c0e1f664,238639066,Vector Institute,Events Manager (Contract - 15 months),on_site,"Ontario, Canada",2023-06-23T02:12:07.299Z,"
        -

        JOB DESCRIPTION

        -

        Events Manager

        -

        -

        POSITION SUMMARY

        -

        -

        Events Manager

        -

        Reporting to the Director of Community Engagement & Events, the Events Manager will provide leadership and support in the tracking, planning, coordination, execution, and evaluation of events hosted by the Vector Institute and its community partners.

        -

        The incumbent in this role will be responsible for the day-to-day management, design, and implementation of a diverse portfolio of events serving our programs and operations.

        -

        The Events Manager will also work with internal and external stakeholders and serve as a primary point of contact for event guests, speakers, and partners.

        -

        -

        KEY RESPONSIBILITIES:

        -
          -
        • Manage and execute a diverse portfolio of events, ranging from small local events to large conferences of 500+ attendees, with excellence, working with a variety of vendors, suppliers, venues and agency partners and colleagues, as required. The portfolio could include program-related events, meetings, hospitality events, large conferences (500+ attendees), and other custom events;
        • -
        • Provide event-related client services to internal program leads: Manage all event delivery elements related to event planning, budgeting, design, and production, including A/V, staging and event decor, venue and location sourcing, catering, travel and transportation, contract negotiation, and budget creation/management;
        • -
        • Produce event briefs and objectives in addition to maintaining a centralized events calendar to manage resources (including delegation and escalation as necessary) and provide strategic advice related to hosting, partnering, sponsoring, or participating in key events, and delivering content that meets the strategic objectives of the Vector Institute;
        • -
        • Support the Director, Community Engagement & Events in overall programming strategy for the annual events calendar;
        • -
        • Support the Director, Community Engagement & Events with suggesting topics and speakers for events as needed;
        • -
        • Coordinate Vector’s participation in third-party events and support for relevant community events;
        • -
        • Adhere to all defined Vector Institute processes and policies, including sponsorship, accounting, procurement, and HR-driven requirements;
        • -
        • Establish standard formats and processes for recurring events and produce all required event materials and documentation (checklists, templates, event bibles, budgets, work-back schedules, etc.) while ensuring brand consistency across all Vector events;
        • -
        • Liaise and communicate critical event details and logistics with guests, sponsors, and speakers to identify their needs and to ensure a quality customer experience;
        • -
        • Work with communications team to design and develop promotional materials, branding, digital content, and information packages;
        • -
        • Serve as a point person managing responses to incoming questions and information requests from event participants;
        • -
        • Maintain up-to-date and accurate attendee and guest lists to ensure appropriate levels of correspondence;
        • -
        • Proactively handle emerging issues and troubleshoot problems on the event day;
        • -
        • Manage event closeout activities including conducting post-event evaluations, coordinating processing of invoices and expense claim payments;
        • -
        • Report on quantitative metrics and work with program leads to coordinate the collection of qualitative metrics and post event reporting (e.g., via MailChimp or survey monkey); and,
        • -
        • Foster productive and collaborative relationships with strategic partners.
        • -
        -


        -

        SUCCESS MEASURES

        -
          -
        • Quantitative and qualitative event metrics demonstrate impact and meaningful delivery against the strategic objectives of the Vector Institute;
        • -
        • Participants (speakers, guests, sponsors, stakeholders) are aware of and receive all necessary details and information pertaining to their attendance in a timely manner;
        • -
        • Events are planned in advance, and delivered within budget with seamless, professional, and consistent execution; and,
        • -
        • Speakers, guests, and stakeholders provide positive feedback on their experience after the event.
        • -
        -


        -

        PROFILE OF THE IDEAL CANDIDATE

        -
          -
        • 5+ years of experience in events management, event production, and/or experiential marketing;
        • -
        • Ability to understand strategic objectives of the organization and manage, design and execute events to maximize delivery against those objectives;
        • -
        • Excellent customer service and can-do attitude;
        • -
        • Not-for-profit or innovation experience is considered an asset;
        • -
        • Excellent communication, organizational, and creative thinking skills;
        • -
        • Ability to work well independently on several projects concurrently and maintain focus and professionalism in high pressure environments;
        • -
        • Excellent interpersonal skills are required, with an ability to work successfully with various organizational levels, whether that be with colleagues, senior executives, customers, or partners;
        • -
        • Software proficiency in Microsoft Office, Google Docs, Eventbrite and MailChimp is required; knowledge and experience with website content management (e.g., WordPress) and CRMs is an asset;
        • -
        • Experience with virtual and hybrid platforms required.
        • -
        • Demonstrated flexibility and professionalism coupled with sound judgment; flexible, discreet and able to maintain confidential information, knowledge of appropriate protocol for various situations;
        • -
        • Post-secondary diploma, preference for post-secondary degree, in a related field; and,
        • -
        • Willingness to travel on occasion.
        • -
        -

        -
        -
        ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=19000101_000001&jobId=448936&lang=en_CA&source=CC2&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2023-07-23T02:12:07.330Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/238639066-events-manager-contract-15-months-at-vector-institute,,draft,2023-06-23T02:12:07.299Z,import-xml-feed:Vector-Institute-Job,,,,,,, -d1344dc9-afaf-44ff-996c-50c572bce5ce,236957244,Loblaw Companies Ltd,Digital Product Manager,on_site,"Ontario, Canada",2023-06-17T01:44:02.106Z,"
        +
        ",,https://jobs.magna.com/job/Millwright-Apprentice/570432517/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-17T16:09:03.123Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/242608268-millwright-apprentice-at-magna-international,https://jobs.magna.com/job/Millwright-Apprentice/570432517/,draft,2023-07-03T16:04:03.249Z,import-xml-feed:Scrapy-Scraper,,,,,,, +3379c313-e47c-4bd3-9679-14d89fda13de,243217485,Clearpath,Account Executive,on_site,"Ontario, Canada",2023-07-05T02:18:09.094Z,"

        Description

        Position at Clearpath Robotics

        +

        Position: Account Executive
        Location:
        Waterloo, Ontario
        Experience: 3+ years\' experience
        Division:
        Clearpath Robotics Research Solutions

        +

        +

        About Clearpath Robotics

        +

        Clearpath Robotics is a global leader in unmanned vehicle robotics for research and development, and provides hardware, software, and services to enable self-driving vehicle development, deployment, and operation. Clearpath Robotics works with over 500 of the world’s most innovative brands in over 40 countries, serving markets that span mining, military, agriculture, aerospace, and academia. Visit Clearpath Robotics at www.clearpathrobotics.com.

        +

        About the Job

        +

        Clearpath Robotics’ Research Systems team is looking for a well organized, relationship-oriented Account Engineer with proven skills across all account functions: business development, direct technical sales, and account management.

        +

        As our newest Account Executive, your primary responsibilities will be:

        +
          +
        • Review client projects and applications, and assist in the scoping & configuration of application-appropriate robotic solutions for customers, independently and in collaboration with our team of Engineers
        • +
        • Gains customer acceptance by explaining or demonstrating product features and software
        • +
        • Submits orders by conferring with technical support staff and costing engineering changes.
        • +
        • Provide company, product, and technical overview presentations
        • +
        • Provide pre-sales quotes to customers in a timely manner
        • +
        • Check purchase orders for accuracy against the quote or standards before processing Provide technical assistance to the customers - answering technical queries and perform research when answers are not immediately available
        • +
        • Successfully promote and sell Clearpath as a full-service robotic solutions provider
        • +
        • Maintain and develop a high level of knowledge of new technology and the company’s solution offerings
        • +
        • Contributes to sales engineering effectiveness by identifying short-term and long-range issues that must be addressed,
        • +
        +

        About You

        +

        Our next Account Executive is a sharp, articulate and collaborative person, who is 100% comfortable spending their days talking to everyone from grad students to CEOs to rocket scientists. You dream of being part of a close-knit sales team that attacks new challenges with a bear hug and thrives equally on collaboration and friendly competition.

        +

        You have an innate drive to be successful, and you bring both the acumen and the grit to achieve your objectives.

        +

        Our ideal candidate is someone who is described by friends as:

        +
          +
        • Entrepreneurial and resourceful
        • +
        • A confident and articulate speaker with the ability to think on their feet
        • +
        • Excellent written communication skills
        • +
        • Able to understand and communicate technical concepts
        • +
        • Exceptional organization and attention to detail
        • +
        • Dynamic, dependable and diligent
        • +
        • Highly motivated and self-starting
        • +
        • Passion for helping customers solve complex problems with innovative technology
        • +
        +

        Required Skills and Experience:

        +
          +
        • 3 years’ experience of proven excellence in business development, inside sales and/or sales
        • +
        • Technical degree or equivalent experience
        • +
        • Ability to translate technology features into business benefits
        • +
        • Strong analytical and problem solving skills
        • +
        • Strong initiative and ability to work in a self-directed environment
        • +
        • Organization and priority setting skills and ability to multi-task in a dynamic environment
        • +
        +

        Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, gender identity and expression, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

        ",,http://jobs.jobvite.com/clearpath/job/oS3RkfwQ,feed-importer@jobboard.io,,,,2023-08-04T02:18:09.095Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217485-account-executive-at-clearpath,,draft,2023-07-05T02:18:09.094Z,import-xml-feed:Selenium-Scraper,,,,,,, +9e687bf1-e6d5-4971-8981-5dbe71ed46da,243217477,Clearpath,Test Technician,on_site,"Ontario, Canada",2023-07-05T02:18:07.996Z,"

        Description

        +

        Position: Test Technician
        Location: Kitchener, Ontario
        Job Type: Full-Time Permanent
        Experience: 0-3 Years
        Education:
        College Diploma, with 0-3 years\' work experience in ME/EE/SW or Testing
        Division: OTTO Motors

        +

        About OTTO Motors, a division of Clearpath Robotics

        +

        Our mission is to create safer, more productive and fulfilling workplaces with autonomous material handling technology.

        Most recently, OTTO Motors was recognized among the top 1% of Canada’s highest-performing global private companies by Communitech….. and Fast Company’s 2023 list of Most Innovative Companies in 2023.

        +

        Our loyal customers are also the most recognizable brands in the world and trust OTTO Motors to fulfill their mission-critical material handling needs: General Electric, Toyota, Hershey, Caterpillar, Berry Global, and more. For more information about us, visit www.ottomotors.com. OTTO delivers intelligence, productivity, scalability, results and most importantly, the future.

        +

        About the Job

        +

        We believe in providing our clients with specific solutions to their problems. This might mean prototyping new hardware platforms, developing custom software applications, or processing 3D point clouds. Our projects range from one-off development of multi-ton unmanned ground vehicles to mass production of custom built environmental monitoring equipment.

        +

        We\'re looking for a Test Technician to take our testing and validation to the next level and help us to get our software doing what it\'s been built to do. You will take charge of managing and maintaining a fleet of robots. Responsibilities would include updating software, investigating anomalies, and working closely with multiple teams to bring issues to conclusion. Additional responsibilities would be test plan development and execution for various products and custom projects, to ensure that our hardware and software is co-existing harmoniously. This will range from designing test campaigns to identify and eliminate issues early on, through to tail end validation focused on detailed product verification. Your goal is to increase efficiencies and reliability with regards to product testing and validation. You will work closely with the rest of the Clearpath development team to make sure that we are delivering properly engineered solutions.

        +

        Your primary responsibilities will be:

        +
          +
        • Managing and maintaining a functioning fleet of robots
        • +
        • Capturing issues and artifacts, establishing strong feedback loop back into development
        • +
        • Designing test campaigns
        • +
        • Executing test for full system, component, simulation, and performance
        • +
        • Documenting test results
        • +
        +

        Additional responsibilities may include:

        +
          +
        • Developing simulations, maintaining and extending testing standards and best practices
        • +
        • Testing and validating product components used in projects
        • +
        • Determining or helping to drive test requirements for new products, components, or projects as required
        • +
        • Alerting the team and stopping the robots from starting their own revolution
        • +
        +

        About You

        +

        You want to work for a fast-paced growing company that thinks big and dreams huge. You are motivated, view work as more than just a job, and are never satisfied with less than 100% effort. You want to be surrounded by people like you; creative, fun-loving, and passionate about their work. You are motivated by making an impact on your workplace and you thrive on challenging and rewarding problems.

        +

        Your programming background is strong and you’re able to diagnose issues faster than the speed of light. You like the thought of working on projects that interact with the world, even more so when they can do so on their own. You\'re looking for a job where you get to interact with a diverse team and learn something new every day. We can\'t promise it\'ll be interesting or relevant, but it\'ll be new!

        +

        Required Experience/Skills:

        +
          +
        • College Diploma in a relevant technical field
        • +
        • 0-3 years’ working in mechanical, electrical, software design or testing environments (or Post Graduates with similar exposure)
        • +
        • Experience with testing validation of complex integrated systems and/or software
        • +
        • Strong verbal and written communications
        • +
        • Strong analytical, trouble shooting and problem-solving skills
        • +
        • Ability to work well independently, as well as in a team environment
        • +
        +

        Bonus Experience/skills:

        +
          +
        • Combination of experience designing, implementing, maintaining or executing technical acceptance plans
        • +
        • Experience with Linux / Unix operating systems
        • +
        • Python or similar Object Oriented programming experience (C++, Java, Javascript, Ruby, etc.)
        • +
        • Experience with Unix scripting languages (e.g. bash, shell, awk etc.)
        • +
        • Git or similar version control experience (BitBucket, Github, etc.)
        • +
        • Understanding of continuous integration concepts and tools (e.g. Jenkins, BuildBot, etc.), and best practices
        • +
        • Familiarity with defect tracking systems such as JIRA
        • +
        • Experience with analysis with tools like iPython Notebook, Matlab or others
        • +
        • Hands on experience with software/hardware mixed products, which may utilize motor controls, machine controls, and various sensory components in combination with software
        • +
        +

        At Clearpath, we are committed to building and supporting a culture of diversity, inclusion, and accessibility. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, veteran status, sex, sexual orientation, gender identity, and expression. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

        ",,http://jobs.jobvite.com/clearpath/job/oZatnfwJ,feed-importer@jobboard.io,,,,2023-08-04T02:18:07.996Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217477-test-technician-at-clearpath,,draft,2023-07-05T02:18:07.996Z,import-xml-feed:Selenium-Scraper,,,,,,, +ef1c5aaa-e1d8-4104-a9e0-3ae9a59b08d3,243216379,Loblaw Companies Ltd,"Analyst, Vendor Operations",on_site,"Ontario, Canada",2023-07-05T01:44:01.758Z,"

        Referred applicants should not apply directly to this role.

        All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

        @@ -3673,654 +6256,991 @@ d1344dc9-afaf-44ff-996c-50c572bce5ce,236957244,Loblaw Companies Ltd,Digital Prod

        Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

        -

        Please note: this posting is to pipeline for future needs

        +

        Who We Are:

        +

        In the Customer Support Centre of Excellence (CoE), we strive to provide PC Financial, PC Optimum, Loblaw Digital, Loblaw Retail, and SDM Retail customers an effortless experience in the moments that matter. We use technology, automation, and delivery optimization to improve customer and colleague experiences. We collaborate with technology and products teams to create synergy and deliver value. We are nimble, agile and collaborative solving complex problems at pace. We run as one team, value diversity and dig deep to always know more.

        -

        Why This Role is Important

        -

        The Digital Product Manager will support planning and own delivery of key platform functionality such as new features, enhancements, architectural development, and reporting and analytics that deliver value across Digital, Call Center & Pavilion channels.

        -

        As one of the key leaders in product development, the Digital Product Manager will work with the technical & non-technical partners to represent the voice of the customer and the vision of the product throughout the product development process and present these as user stories to the engineering team.

        -

        The Digital Product Manager will bring strong leadership and organizational skills to bear to maintain a steady release plan.

        -

        What You\'ll Do

        -
          -
        • Own a product backlog and ensure they are prioritized to continuously remove customer friction and drive business value.
        • -
        • Own the end-to-end customer experience for money movement journeys
        • -
        • Lead product discovery working through sophisticated problems to generate ideas and solutions
        • -
        • Partner with colleagues across all levels of the organization to identify business challenges and gain alignment on the roadmap
        • -
        • Actively seek customer feedback, behaviors and analytics.
        • -
        • Run and own research on the customer as well as the market in order to build truly customer first solutions.
        • -
        • Active participant in scrum ceremonies such as refinement, story pointing, sprint planning and demos.
        • -
        • Define and implement a Minimum Viable Product (MVP) balancing between the digital strategy, execution of new features, and continuous optimization.
        • -
        • Be accountable for driving key metrics forward for the money movement outcome
        • -
        • Manage multiple and sometimes conflicting timelines.
        • -
        +

        Why This Role is Important:

        +

        The Analyst, Vendor Operations, will be responsible for providing day to day Vendor operational support, control execution along with oversight of outlier activity, vendor processing reconciliations and risk management reporting of key Vendors. This will include monitoring audit reports, handling and keeping control evidence, creating robust reporting of monitored activity and managing vendor inventories. This role will also be key in building and maintaining strategic partnerships with internal and external partners.

        +

        We are looking for a candidate that is a self-starter, highly energized, and has excellent communication and presentation skills. The right candidate will bring a strong mix of experience with financial planning and reporting within operations, and a ‘roll-up-your-sleeves’ approach.

        -

        What You Bring

        +

        +What You’ll Do:

        +
          +
        • Validation of accuracy of inventory reports
        • +
        • Inventory management for all collateral housed at vendor locations including managing volume to within tolerable levels
        • +
        • Identify and investigate any potential risks or variances to the overall inventories, find root cause of risks, implement risk mitigation tactics, and develop contingency plans
        • +
        • Manage inventory re-order & destruction
        • +
        • Lead in internal partner meetings with respect to inventory/collateral management, usage, reorder points and draft minutes for distribution
        • +
        • Provide insights and robust reporting to management team highlighting issues/trends and call out any high-risk operating deficiencies associated to inventory reconciliations
        • +
        • Responsible for implementing internal operational controls monthly and maintaining control evidence
        • +
        • Daily oversight and execution of Statement Validation
        • +
        • Onsite Vendor validation (Cards & Statements) as required
        • +
        • Create and maintain accurate inventory of control functions and processes, ensuring accuracy
        • +
        • Identify & champion process improvement opportunities & enhancements to improve overall efficiency while minimizing financial impacts (increases to cost savings) with all partners
        • +
        • Develop and maintain accurate up to date process documentation
        • +
        • Support Vendor in adhoc day to day inquires or issue resolution
        • +
        • Make time sensitive decisions, requiring sound and independent judgment
        • +
        • Maintain current operational documentation such as process documentation, monthly production forecasts, controls, statement of procedures, etc.
        • +
        • Carrying out the audit work in an optimal fashion in compliance with timeline requirements outlined in the planning phase
        • +
        • Documenting clear and concise results
        • +
        • Provide robust reporting/data analytics and trending analysis on outlier activity
        • +
        • Maintain an understanding of operational processes and procedures and continuously recommend process efficiencies and improved customer experience
        • +
        • Provide support & assistance in resolving complex or intensified inquiries, taking full ownership and handling to final resolution
        • +
        +

        +

        +

        +

        What You\'ll Need:

          -
        • The successful candidate will hold a university degree, preferably in Business or Engineering
        • -
        • Minimum of 3-5 years of digital product management and agile/scrum experience.
        • -
        • Experience with agile/scrum software development methodology.
        • -
        • Flexibility to partner with stakeholders across all levels within and outside the organization.
        • -
        • Able to dive in to a problem area to pull insights and generate creative solutions.
        • -
        • Proficient presentation, analytical and problem-solving skills.
        • -
        • Proficient with analytics tools (Adobe, Google Analytics), agile project management tools (Jira and/or Miro) and remote user testing.
        • -
        • Ability to work independently and as part of a dynamic group.
        • +
        • 3+ years operational vendor operational experience or relevant experience in financial sector (Credit and Debit/Banking)
        • +
        • Strong attention to detail, self-motivated, and adaptable to change in a dynamic environment
        • +
        • Experienced nalytical skills to identify gaps and deficiencies and develop solutions
        • +
        • Excellent verbal, written, and reporting skills
        • +
        • Strong communication and interpersonal skills with the ability to foster and develop relationships both internally and externally
        • +
        • Experience managing multiple internal and external relationships
        • +
        • Proficient with Microsoft Office (Word, Excel, Access, PowerPoint)
        • +
        • Highly organized, with an appreciation of meeting reporting commitments
        • +
        • A good team player who is also able to work independently in a fast-paced environment
        • +
        • Post-Secondary Education
        • +
        • Excellent time management and organizational skills

        +

        Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

        -

        Number of Openings:

        0

        +

        Number of Openings:

        1

        PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

        In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

        Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

        -
        ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Digital-Product-Manager_R2000323210?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-07-17T01:44:02.115Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/236957244-digital-product-manager-at-loblaw-companies-ltd,,draft,2023-06-17T01:44:02.106Z,import-xml-feed:Loblaws-Job-Feed,,,,,,, -6005c707-6350-433b-9a3e-7abd2714fd6e,236957636,Google,"Principal Architect, Google Cloud",on_site,"Toronto, ON, Canada",2023-06-17T01:54:02.827Z,"
        Google Careers is temporarily undergoing maintenance. Some actions are unavailable. -
        ",,"https://careers.google.com/jobs/results/82824615656596166-principal-architect-google-cloud/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-07-04T01:59:03.250Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/236957636-principal-architect-google-cloud-at-google,,draft,2023-06-17T01:54:02.827Z,import-xml-feed:Google-Job-Feed,,,,,,, -233f4c28-0515-4ddf-bd27-0f450363aa42,236957640,Google,"Technical Program Manager III, Cellular System Validation",on_site,"Toronto, ON, Canada",2023-06-17T01:54:03.281Z,"
        Google Careers is temporarily undergoing maintenance. Some actions are unavailable. -
        ",,"https://careers.google.com/jobs/results/130845721105441478-technical-program-manager-iii-cellular-system-validation/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-07-04T01:59:03.250Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/236957640-technical-program-manager-iii-cellular-system-validation-at-google,,draft,2023-06-17T01:54:03.281Z,import-xml-feed:Google-Job-Feed,,,,,,, -a2119cb0-c289-4d72-87e6-91e5a68d4f24,236957641,Google,"Account Strategist, Engage, Google Customer Solutions",on_site,"Toronto, ON, Canada",2023-06-17T01:54:03.322Z,"
        Google Careers is temporarily undergoing maintenance. Some actions are unavailable. -
        ",,"https://careers.google.com/jobs/results/109400387829539526-account-strategist-engage-google-customer-solutions/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-07-04T01:59:03.250Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/236957641-account-strategist-engage-google-customer-solutions-at-google,,draft,2023-06-17T01:54:03.322Z,import-xml-feed:Google-Job-Feed,,,,,,, -2eca446b-1b94-4903-9446-8d6a0b6459fb,236957761,Borealis AI,General Application,on_site,"Ontario, Canada",2023-06-17T01:58:03.070Z,"

        Don\'t see a role for you? Please complete the form below to share your interest in Borealis AI!

        ",,https://www.borealisai.com/careers/?gh_jid=5432950002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-07-17T01:58:03.167Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/236957761-general-application-at-borealis-ai,,draft,2023-06-17T01:58:03.070Z,import-xml-feed:Borealis-AI-Job-Feed,,,,,,, -3cd33bf2-eba3-470c-b4cb-956d472d678e,236957753,Borealis AI,Senior Product Manager,on_site,"Ontario, Canada",2023-06-17T01:58:02.104Z,"
        -

        What’s the opportunity?

        -

        As a Sr. Product Manager on the Product team, you’ll get to lead multiple innovative AI products for the financial services industry and work closely with machine learning researchers and engineers, defining novel solutions to complex problems. In addition, you and your product teams will also be responsible for defining strategic product roadmaps for building and delivering products with high-impact business outcomes.At Borealis AI, you’ll be joining a team defining the future of Financial Services with state-of-the-art AI. Our mission is to think big and surpass what’s possible today to deliver competitive AI products. This is a rare opportunity to build the skills required to make machine learning work in the enterprise. You can find out more about our research areas at www.borealisai.com.

        -

        Your responsibilities include:

        -
          -
        • Leading multiple machine learning products within Capital Markets;
        • -
        • Defining and executing both short and long-term product strategies and roadmaps;
        • -
        • Discovering new opportunities and problems that are well-suited to be solved by ML
        • -
        • Building and maintaining relationships with senior technical stakeholders within RBC Capital Markets;
        • -
        • Defining and delivering POCs and scaling these out into full-fledged products;
        • -
        • Guiding ideas from discovery-to-development-to-deployment in the Capital Markets Environment.
        • +
        ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Analyst--Vendor-Operations_R2000353662?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-07-18T01:49:03.654Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243216379-analyst-vendor-operations-at-loblaw-companies-ltd,,draft,2023-07-05T01:44:01.758Z,import-xml-feed:Loblaws-Job-Feed,,,,,,, +b7e1e142-f856-412b-ab0e-76e606841787,243216281,BMO Financial Group,"Senior Manager, Risk Reporting & Initiatives",on_site,"Ontario, Canada",2023-07-05T01:42:02.203Z,"
        +

        Application Deadline:

        07/19/2023

        +

        +

        Address:

        33 Dundas Street West

        +

        +

        Job Family Group:

        Data Analytics & Reporting

        +

        +

        If you’re looking for your next dream job, consider this one in BMO’s ERPM Risk group where every colleague helps protect and grow the bank by providing independent review and oversight of enterprise-wide risks, working together to maintain a risk management framework and fostering a strong risk culture. #ERPMDreamJobs

        +

        +

        +

        Supports the execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies. Supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance and minimizes risk. Supports information requests from senior internal and external stakeholders, and transformational projects designed to improve the overall effectiveness of the Risk Reporting function.

        +

        +

        Leadership

        +
          +
        • Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.

        • +
        • Ensures alignment between values and behaviour that fosters diversity and inclusion.

        • +
        • Regularly connects work to BMO\'s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.

        • +
        • Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders.

        -

        You’re our ideal candidate if you:

        -
          -
        • You have 5+ years of experience working in capital market or a product role and 3+ years of product management experience;
        • -
        • You have a Master’s degree in a technical or quantitative field;
        • -
        • You have strong product leadership skills and the ability to own a portfolio of products end-to-end independently. You have a track record of successful product deliveries;
        • -
        • You have strong foundations in finance and experience in global markets;
        • -
        • You are well versed in the core areas of applied machine learning and have experience with machine learning platforms and deploying models at scale;
        • -
        • You are a strong collaborator and can influence both technical and business stakeholders;
        • -
        • You thrive in a fast-paced, dynamic environment.
        • +

          +

          Advisory

          +
            +
          • Provides strategic input into business decisions as a trusted advisor.

          • +
          • Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group.

          • +
          • Acts as a subject matter expert on relevant regulations and policies.

          • +
          • May network with industry contacts to gain competitive insights and best practices.

          • +
          • Interprets new regulations and assesses impacts to the risk reporting strategy/program framework.

          • +
          • Influences and negotiates to achieve business objectives.

          • +
          • Identifies emerging issues and trends to inform decision-making.

          • +
          • Recommends business priorities, advises on resource requirements and develops roadmap for strategic execution.

          • +
          • Provides advice and guidance to assigned business/group on implementation of analytical and reporting solutions.

          -

          What’s in it for you?

          -
            -
          • Opportunity to play a vital role in the development of leading-edge products;
          • -
          • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach their full potential;
          • -
          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
          • -
          • Leaders who support your development through coaching and management opportunities;
          • -
          • Ability to make a difference and lasting impact from a local-to-global scale.
          • +

            +

            Program / Initiatives Management

            +
              +
            • Leads the execution of strategic initiatives to deliver on business and financial goals.

            • +
            • Measures the effectiveness of risk reporting program/strategy; recommends changes as required.

            • +
            • Conducts independent analysis and assessment to resolve strategic issues.

            • +
            • Acts as the prime subject matter expert for internal/external stakeholders.

            • +
            • May represent the risk reporting function during internal/external regulatory audits and/or examinations.

            • +
            • Ensures alignment between stakeholders.

            • +
            • Develops and manages comprehensive information management systems; designs and/or leads initiatives to improve processes, analysis and reporting.

            • +
            • Leads change management programs of varying scope and type, including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.

            • +
            • Leads the execution of operational programs; assesses and adapts as needed to ensure quality of execution.

            • +
            • May provide specialized support for other internal and external regulatory requirements.

            -

            About Borealis AI

            -

            Borealis AI, a RBC Institute for Research, is a research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

            -

            Inclusion and Equal Opportunity Employment

            -

            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

            -
        ",,https://www.borealisai.com/careers/?gh_jid=6647220002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-07-17T01:58:02.112Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/236957753-senior-product-manager-at-borealis-ai,,draft,2023-06-17T01:58:02.104Z,import-xml-feed:Borealis-AI-Job-Feed,,,,,,, -aeb0067e-f790-49a4-a63b-1197d1681b04,236957475,RBC,Data Analytics Analyst,on_site,"Toronto, ON, Canada",2023-06-17T01:51:01.344Z,"
        -

        Come Work with Us!

        At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

        Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

        -

        Job Title

        Data Analytics Analyst

        -

        Job Description

        -

        What is the Opportunity?

        -

        Assist Internal Audit RBC US teams in the research, development, and delivery of strategic and analytics initiatives to achieve Audit objectives in alignment with Internal Audit’s transformation goals. These initiatives affect operations and audit execution across multiple geographies and/or across multiple business units/platforms. Responsible for supporting the performance and quality of analytics that will provide continuous improvements of the audits that have been planned for the respective platforms.

        +

        Reporting

        +
          +
        • Gathers and formats data into regular and ad-hoc reports, and dashboards.

        • +
        • Designs and produces regular and ad-hoc reports, and dashboards.

        • +
        • Leads/participates in the design, implementation and management of core business/group processes.

        • +
        • Designs, develops, and implements reporting solutions to meet management and regulatory reporting requirements.

        • +
        • Analyses data and information to provide risk-related insights and recommendations.

        • +
        • Supports the interpretation of internal and external policies and regulatory requirements relevant to the analytics and reporting mandate e.g. regulatory reporting.

        • +
        • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.

        • +

        -

        Support the business phases of the analytics lifecycle for the respective Internal Audit platform(s). Responsible for assisting in internal and external research, stakeholder management, collaborative requirement gathering, and a user-centric approach that in combination ensure technical solutions are both valuable and readily adopted across Internal Audit. Effectively collaborate closely with technical talent pools who transform proposed business cases into leading edge technological solutions. Strategically recommend and apply existing technology to reduce duplication of efforts and ensure the Internal Audit platforms have the skills and capacity to use and understand the technology available across Internal Audit. Responsible for researching and developing foundational analytics that support Internal Audit RBC US teams.

        +

        Governance/Controls/Procedures

        +
          +
        • Ensures strong governance and effective controls across risk reporting activities and information in accordance with enterprise standards.

        • +
        • Analyzes data and highlights significant information including variances, trends, opportunities and exposures; escalates as required.

        • +
        • Provides information and supports the process for internal and external audits.

        • +
        • Supports the maintenance of operational procedures and processes related to analytical and reporting processes.

        • +
        • Supports the development of tools and delivery of training focused on awareness and understanding of key data elements used in risk reporting.

        • +
        • Participates in the design, implementation and management of core business processes to ensure the accuracy of risk data used in reporting.

        • +
        • Organizes work information to ensure accuracy and completeness.

        • +

        -

        What will you do?

        -

        Analytics Lab Support

        +

        Issue Management / Stakeholder Communication

          -
        • Assist in the creation and maintenance of foundational data & analytics initiatives that provide continuous improvements of the audits that have been planned in the platform(s).
        • -
        • Support effective delivery of a pipeline of data analytics and automation initiatives that impact Audit execution activities globally across all regions and lines of business.
        • -
        • Acts as a peer to the Data Engineers and Data Scientists in the centralized Data Management & Analytics team (DMA).
        • -
        • Empowered to challenge and refine the value of analytics ideas as proposed by the auditors.
        • +
        • Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.

        • +
        • Implements changes in response to shifting trends.

        • +
        • Broader work or accountabilities may be assigned as needed.

        • +
        • Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.

        • +
        • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.

        • +
        • Builds effective relationships with internal/external stakeholders.

        -

        Business Case Development and Adoption Support

        +

        Qualifications

          -
        • Conduct research and identify opportunities for improving processes and technology: Externally, research best practices, emerging risks, and innovation across RBC and broadly throughout the financial sector. Internally, gather, understand, and analyse auditors’ pain points.
        • -
        • Size potential upside of deploying a solution across platforms, in line with your findings. In partnership with technical experts and other stakeholders, define and articulate ROI for your business cases for Executive Selection Committee approval.
        • -
        • Support technical builds and process reengineering aligned with business cases at every step of analytics lifecycle; engage auditors as needed and support user acceptance testing across your platforms.
        • -
        • Support the communication of ongoing work to broad Internal Audit audience and support creation of training materials and experiences for selected tools.
        • +
        • Typically 7+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

        • +
        • MBA and/or consulting experience considered a strong asset.

        • +
        • Project management experience considered an asset.

        • +
        • Strong knowledge of risk management metrics, KPIs and KRIs.

        • +
        • Knowledge of industry trends and regulatory requirements for risk reporting.

        • +
        • Product knowledge for the designated business/portfolio an asset.

        • +
        • Strong knowledge of reporting & analytics concepts and applications.

        • +
        • Knowledge of risk systems technology as asset.

        • +
        • Seasoned professional with a combination of education, experience and industry knowledge.

        • +
        • Verbal & written communication skills - In-depth / Expert.

        • +
        • Analytical and problem solving skills - In-depth / Expert.

        • +
        • Influence skills - In-depth / Expert.

        • +
        • Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.

        • +
        • Able to manage ambiguity.

        • +
        • Data driven decision making - In-depth / Expert.

        • +
        • Software proficiencies: SAS, SQL, MS Office, SharePoint.

        • +
        +

        +

        +

        We’re here to help

        +

        +

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

        +

        +

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

        +

        +

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

        +

        +

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

        +

        +

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

        +
        ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Manager--Risk-Reporting---Initiatives_R230011059?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-08-04T01:42:02.213Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243216281-senior-manager-risk-reporting-initiatives-at-bmo-financial-group,,draft,2023-07-05T01:42:02.203Z,import-xml-feed:BMO-Job-Feed,,,,,,, +0a5dc02e-7262-4b4a-89bf-2f52b959f79e,237677739,Sun Life Financial,Senior Data Engineer,on_site,"Ontario, Canada",2023-06-20T02:15:02.569Z,"
        +

        You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

        +

        +

        +

        Job Description:

        +

        +

        At Sun Life, we work together, share common values and encourage growth and achievement. We offer many career paths that attract a wide variety of talent and skills. Follow a path that lets your talents shine.

        +

        +

        Role Summary:

        +

        +

        The Client Experience Office (CXO) is an important pillar of Sun Life’s corporate strategy and as such, is seeking experienced data engineering individuals with a proven track record working with data consumers to extract meaningful insights from enterprise data. Senior Business data engineers play an indispensable role in assembling the necessary data products that fuel myriad of analytical models used by our various business units across Canada.

        +

        +

        Reporting to the Manager of Data Engineering, the Senior Business Data Engineer will be a key member of Data Enablement Team responsible for building enriched data products that provide deep insights about our Client, Advisor, Product, Transactions along with their intricate relationships. The Senior Business Data Engineer will work with data analysts and data scientists to help answer complex business enquires such as identifying new business opportunities, understanding our client behavior and optimizing areas of our sales cycles.

        +

        +

        What will you do?

        +
          +
        • Obsessed with understanding our enterprise data and interpreting it in the best way possible to derive business value

        • +
        • Design and engineer data models that represent our key business entities such as our Advisor, Client & Product

        • +
        • Ensure high level of data quality and data integrity are maintained across data sources for business

        • +
        • Convert complex business and technical rules into logic for data flows and data pipelines

        • +
        • Work with our Data Science teams to implement data products for various use cases

        • +
        • Collaborate with stakeholders and incorporate into solution design for various use case requirements

        • +
        • Standardize metadata into a common glossary along with the necessary documentation for data consumers

        -

        Technological use and Reuse

        +

        What do you need to succeed?

          -
        • Support the adoption of centrally developed data products in the platform with support from the DMA team.
        • -
        • Support global adoption of IA wide data initiatives.
        • -
        • Support technology use and reuse by having a thorough understanding of available and upcoming technology across the Internal Audit toolkit.
        • -
        • Assist in review of quarterly Audit plan for existing tool use to reduce duplication of efforts and to ensure technology provides expected return.
        • -
        • Support gathering and triage feedback for technical experts on an ongoing basis.
        • +
        • 3-5 years hands-on experience working on AWS technologies for data processing and analytics

        • +
        • 2+ years experience with AWS Glue for ETL

        • +
        • 3 years experience in Pyspark and SQL

        • +
        • 5 years hands-on experience with relational database systems, relational models, dimensional models etc.

        • +
        • 3-5 years experience with engineering data products as input to various analytical models

        • +
        • 3-5 years building feedback loops between model deployment and its data – i.e. tune & tweak data products to achieve scale, optimization, etc.

        • +
        • Sound understanding of data management principles (data warehousing, data quality, master data management, etc.)

        • +
        • Sound understanding of data modelling and a passion for analytics

        • +
        • Proven track record in leveraging SQL and SQL-based programming to solve business problems

        • +
        • Ability to translate complex business requirements into a set of data ingestion pseudocode

        • +
        • Proven ability to leverage knowledge of data engineering to extract, conform and integrate a variety of operational data sources into production-grade data products

        • +
        • Demonstrate blend of tenacity, creativity, and discipline required to develop ground breaking self-serve data models that data scientists can consume

        • +
        • Excellent verbal and written communication skills; have executive presence and proven ability to partner with Data Scientists to articulate insights gleaned from the model and the underlying data

        -

        Leadership & People Development

        +

        Education and Qualifications:

          -
        • Mentor team members - assist with individual capability building and certification, grow the skillsets /capabilities of the team, transfer skills/knowledge, and demonstrate awareness of linkages and political forces.
        • -
        • Develop and maintain strong working relationships with team members, process stakeholders, support groups, business partner teams, to ensure collaboration and cooperation to meet timing of projects.
        • -
        • Continually demonstrate commitment to and application of RBC Leadership Model Behaviors.
        • +
        • Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent

        • +
        • Graduate degree in business or quantitative science strongly preferred

        -

        What do you need to succeed?

        +

        Unique Requirements

        +
          +
        • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

        • +
        • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

        • +
        +

        +

        What would be nice to have?

        +
          +
        • Understand and Embrace Agile Operating Model

        • +
        • Proven Experienced working as Product Owner in Scrum or Service Request Manager in Kanban projects

        • +
        • Experience working in a large financial services organization

        • +
        • Knowledge of fundamental statistical models & techniques

        • +

        -

        Overall

        +

        What\'s In It For You?

          -
        • Good understanding of programming languages (Python, SQL, R)
        • -
        • Strong understanding and experience using data visualization tools
        • -
        • Strong understanding of Data Analytics to optimize use
        • -
        • Knowledge of financial industry regulatory guidelines
        • -
        • Knowledge of auditing principles and techniques
        • -
        • Proficient written and oral communication skills
        • -
        • Proficient in project management
        • -
        • Ability to learn new and emerging technologies
        • -
        • Ability to work in a dynamically changing environment.
        • +
        • Great Place to Work® Certified in Canada and the US - 2022

        • +
        • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

        • +
        • Named “Best Places to Work” by Glassdoor - 2021

        • +
        • Canada Award for Excellence for Mental Health at Work - 2021

        • +
        • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid, #LI-Remote

        • +
        • Competitive salary and bonus structure influenced by market range data

        • +
        • Pension, stock and savings programs to help build and enhance your future financial security

        • +
        • A friendly, collaborative, and inclusive culture

        • +
        • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

        • +
        • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

        -

        Technical experience:

        +

        +

        The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

        +

        +

        Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

        +

        +

        Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

        +

        +

        At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

        +

        +

        We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

        +

        +

        Salary Range:

        74,100/74 100 - 120,800/120 800

        +

        Job Category:

        Advanced Analytics

        +

        Posting End Date:

        09/07/2023
        ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Engineer_JR00080511?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-07-11T02:20:02.305Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/237677739-senior-data-engineer-at-sun-life-financial,,draft,2023-06-20T02:15:02.569Z,import-xml-feed:Sunlife-Job-Feed,,,,,,, +cea92a47-acca-4d78-8dd7-c221e9abc1aa,243216688,RBC,Senior BI Analyst,on_site,"Toronto, ON, Canada",2023-07-05T01:51:03.616Z,"
        +

        Come Work with Us!

        At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

        Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

        +

        Job Title

        Senior BI Analyst

        +

        +

        Job Description

        +

        What is the opportunity?

        +

        The Senior BI Analyst will be working within Investor Services (IS) and closely collaborating with the teams principally focused on the initiatives relating to migration of legacy reporting. We’re at the center of everything Data and Digital. We’re building a team that embraces innovation & enthusiasm to bring fresh perspectives. We’ve been on a journey to build out high performing, highly resilient data and BI solutions that’s scalable with the continuous demands from Internal and External stakeholders.

        +

        +

        We’re looking for talented and passionate Business Intelligence (BI) & Analytics professionals to join our team! With an analytical mind-set, you will work as part of an agile team to deliver highly scalable solutions built on various technologies. We believe in continuous growth and expanding your capabilities. Join our team today and have a big impact influencing the strength of our Data and Digital capabilities.

        +

        +

        What will you do?

          -
        • Proven ability to produce, conduct, and report on internal and external research, including qualitative and quantitative metrics
        • -
        • Demonstrated ability to calculate ROI for projects of various complexity and scale
        • -
        • Working knowledge of Python, SQL, Data Visualization, UX/UI
        • -
        • Working knowledge of Agile or other lean methodologies
        • -
        • Working knowledge of design, development, and implementation experience utilizing data technologies
        • -
        • Proficient analytical and problem solving skills
        • -
        • Proficient data profiling, cleaning, and mining
        • -
        • Ability to perform complex data analysis on large volumes of data and present findings to stakeholders
        • -
        • Proficient data extract, transform, and load processes with a variety of data types
        • -
        • Experience with big data technologies – Hadoop (Pig, Hive), noSQL/SQL databases, parallel processing techniques and Apache Spark
        • +
        • Elicit, analyze, and document business requirements, business rules and user stories and work with business teams, Product teams, other internal stakeholders and in-house development teams throughout solution building and delivery.
        • +
        • A key member of the project team, the Senior Analyst works with Client Digital delivery leads and Developers, Data Domain experts to ensure that the project is delivered on time and within budget. Provide support to Client Service managers on administrative functions and maintenance requests from clients and relationship managers
        • +
        • Pro-actively communicate and collaborate with internal stakeholders to analyze functional requirements and deliver the appropriate artefacts as needed: business requirement documents, functional specifications, data specifications, data catalogues, use cases, workflow analysis, reports, etc.
        • +
        • Act as the first line of contact to interface with internal stakeholders – Operations team, Client Success team, Data Engineering team and others.
        • +
        • Review data to ensure its integrity for data analysis to deliver business insights and validation of hypothesis
        • +
        • Build compelling and Power BI reports/dashboards and translate findings into executive communications
        • +
        • Demonstrable ability to analyze data/trends, interpret results, build KPIs, explain KPI drivers and communicate in simple terms

        -

        Leadership and People Management experience:

        +

        What do you need to succeed?

        +

        +

        Must-have

          -
        • Demonstrates they have successfully worked in inclusive and diverse work teams
        • -
        • Proven ability to multitask and prioritize activities; across borders and cultures
        • -
        • Experience working as a team member on a special project, over an extended period of time
        • +
        • 2-4 years of experience in business intelligence and analytics field with strong understanding of technical aspects while working with the business on value driven analysis
        • +
        • Strong business communication and stakeholder management skills
        • +
        • Advanced problem-solving skills
        • +
        • In-depth knowledge of database systems such as relational databases, OLAP, Kimble methodologies,
        • +
        • Strong understanding of ETL processes and data modelling processes
        • +
        • Hands-on experience of visualization software such as Power BI
        • +
        +

        +

        Nice to have

        +
          +
        • Strong knowledge of fundamental data concepts (for example, but not limited to groups, hierarchies, data structures).
        • +
        • Knowledge of Microsoft Power Platform

        What’s in it for you?

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

          -
        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
        • -
        • Leaders who support your development through coaching and managing opportunities
        • -
        • Ability to make a difference and lasting impact
        • -
        • Work in a dynamic, collaborative, progressive, and high-performing team
        • -
        • Opportunities to do challenging work
        • -
        • Opportunities to building close relationships with clients
        • +
        • Excellent exposure to communicate with various business partners and stakeholders in Investor Services and within other platforms as appropriate
        • +
        • Opportunity to obtain hands-on experience throughout your role
        • +
        • Working with an exciting, close-knit, supportive & dynamic group
        • +
        • Opportunity to collaborate with other business segments within the bank
        • +
        • Excellent career development and progression opportunities
        • +
        • A comprehensive Total Rewards Program including bonuses and flexible benefits
        • +
        • Competitive compensation

        -

        The good-faith expected salary range for the above position is $65,000 - $105,000 depending on factors including but not limited to the candidate’s experience, skills, registration status; market conditions; and business needs. This salary range does not include other elements of total compensation, including a discretionary bonus and benefits such as a 401(k) program with company-matching contributions; health, dental, vision, life and disability insurance; and paid time-off plan.

        -

        RBC’s compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that:

        -

        · Drives RBC’s high performance culture

        -

        · Enables collective achievement of our strategic goals

        -

        · Generates sustainable shareholder returns and above market shareholder value

        -

        -

        USAUDIT23

        -

        -

        Job Summary

        Assist Internal Audit RBC US teams in the research, development, and delivery of strategic and analytics initiatives to achieve Audit objectives in alignment with Internal Audit’s transformation goals. These initiatives affect operations and audit execution across multiple geographies and/or across multiple business units/platforms. Responsible for supporting the performance and quality of analytics that will provide continuous improvements of the audits that have been planned for the respective platforms.

        Support the business phases of the analytics lifecycle for the respective Internal Audit platform(s). Responsible for assisting in internal and external research, stakeholder management, collaborative requirement gathering, and a user-centric approach that in combination ensure technical solutions are both valuable and readily adopted across Internal Audit. Effectively collaborate closely with technical talent pools who transform proposed business cases into leading edge technological solutions. Strategically recommend and apply existing technology to reduce duplication of efforts and ensure the Internal Audit platforms have the skills and capacity to use and understand the technology available across Internal Audit. Responsible for researching and developing foundational analytics that support Internal Audit RBC US teams.

        Address:

        Jersey City, New Jersey, United States of America

        City:

        USA-NJ-JERSEY CITY

        Country:

        United States of America

        Work hours/week:

        40

        Employment Type:

        Full time

        Platform:

        Internal Audit

        Job Type:

        Regular

        Pay Type:

        Salaried

        Posted Date:

        2023-01-12-08:00

        Application Deadline:

        2023-03-07-08:00
        +

        Job Summary

        +

        Address:

        TORONTO, Ontario, Canada

        City:

        CAN-ON-TORONTO

        Country:

        Canada

        Work hours/week:

        37.5

        Employment Type:

        Full time

        Platform:

        Wealth Management

        Job Type:

        Regular

        Pay Type:

        Salaried

        Posted Date:

        2023-06-30

        Application Deadline:

        2023-07-14

        Inclusion and Equal Opportunity Employment

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

        Join our Talent Community

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

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

        -
        ",,https://jobs.rbc.com/ca/en/job/R-0000044443/Data-Analytics-Analyst,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-07-17T01:51:01.354Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/236957475-data-analytics-analyst-at-rbc,,draft,2023-06-17T01:51:01.344Z,import-xml-feed:RBC-Job-Feed,,,,,,, -fae64a9d-9b43-464d-b72d-eb57eabb38c6,236957477,RBC,"Sr. Manager, Reporting & Analytics - USCM Tech",on_site,"Toronto, ON, Canada",2023-06-17T01:51:01.553Z,"
        +
        ",,https://jobs.rbc.com/ca/en/job/R-0000058439/Senior-BI-Analyst,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-07-07T01:56:02.067Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/243216688-senior-bi-analyst-at-rbc,,draft,2023-07-05T01:51:03.616Z,import-xml-feed:RBC-Job-Feed,,,,,,, +4948f70c-a487-4b43-a3eb-a57c8c7f4f23,243216691,RBC,Data Analyst - ESG,on_site,"Toronto, ON, Canada",2023-07-05T01:51:03.787Z,"

        Come Work with Us!

        At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

        Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

        -

        Job Title

        Sr. Manager, Reporting & Analytics - USCM Tech

        +

        Job Title

        Data Analyst - ESG

        Job Description

        -


        RBC has made the strategic decision to become a Disruptor in the U.S. Cash Management space. By starting this journey, there is a significant opportunity to evolve and capitalize on a $100 Billion Dollar market segment in the U.S. In support of this vision, RBC aims to offer a frictionless, embedded payment and liquidity experience for its clients. While RBC has an established Cash Management business in Canada, the U.S. based group will be built from scratch and anchored in a technical/digital play vs. a traditional play, enabling the Bank to compete with new entrants in this space.

        +

        What is the opportunity?

        -

        What is the opportunity?

        -

        The US Cash Management (USCM) Technology team is undertaking a green field project to build a brand-new system to serve corporate clients. In this role, you will be responsible for the overall collection, accuracy, and reporting of USCM Tech initiatives. ​

        -

        Identifies and collects data sources, analyzes and extracts key data and information, evaluates and monitors data quality to meet the organization\'s information system needs and requirements. Applies advanced in-depth and/or broad knowledge, considered a top resource across the organization.

        -


        What will you do?

        +

        ESG Data specialist to work within the Data Management Office, working very closely with the Global CGRI team. Role will include supporting investment professionals and regulatory reporting teams with their ESG data needs.

        +


        What will you do?

          -
        • Reporting and Shared Knowledge:
            -
          • Manage the USCM Tech reporting calendar
          • -
          • Prepare routine internal portfolio reporting for team leadership on initiative status (financials, risks, benefits)
          • -
          • Coordinate portfolio reporting to senior executives (incl. T&O, Group Heads, Board of Directors, etc.)
          • -
          • Administer and maintain tools environment for enterprise reporting on behalf of USCM Tech team
          • -
          • Ensure consistent reporting processes, approach and tools are in place (factoring in regional differences)
          • -
          • Update tools and sites to support shared knowledge and ensure adherence and use of standardized tools and process
          • -
          -
        • -
        • Data Analytics
            -
          • Subject Matter Expert on gathering development of reporting tools, quality control and measurement of data.
          • -
          • Responsible for bringing leading industry best practices into reporting and analytics design solutions for USCM Tech to the table for senior management to review
          • -
          -
        • -
        • Identify opportunities for continuous improvements
        • -
        • Relationship and Communication
            -
          • Provides executives and senior management with timely updates on project issues and manages communications including status reports
          • -
          • Effectively communicates and builds rapport with team members, stakeholders and interface groups across USCM using a variety of techniques and collaboration from initiation to close
          • -
          • Interacts with executives and senior management on the full range of matters related to USCM Tech reporting and analytics
          • -
          -
        • -
        -
        • Operational Risk, Compliance and Audits
            -
          • Ensures operational risk activities are effectively managed and addressed.
          • -
          • Proactively monitors and ensures risk management deadlines are met and issues resolved on a timely basis.
          • +
          • Collaborating and supporting ESG SME’s to identify, collect, and analyse data from various sources.
          • +
          • Address data inconsistencies, gaps, and errors using technology such as Python in collaboration with internal stakeholders.
          • +
          • Develop and maintain and document data quality processes and protocols.
          • +
          • Integrate ESG data into existing investment processes and support the development of new processes.
          • +
          • Provide data to regulators, understanding and analysing the associated regulations through a data lens.
          • +
          • Be the point person for ESG data related queries and troubleshooting, performing root cause-analysis.
          • +
          • Working closely with the ESG team to understand business requirements and help identify, implement and maintain data solutions with IT developers.
          • +
          • Collaborate with ESG teams to identify potential investment opportunities based on ESG data.
          -
        -

        Must have:

        +

        +

        What do you need to succeed?

        +

        Must-have

          -
        • Experience with financial operations
        • -
        • 7+ years of project management experience with at least 3-5 years’ experience with large projects portfolios
        • -
        • -Demonstrated data analytic & reporting experience
          • Experience using Tableau, SharePoint, Microsoft Office suite, JIRA and Confluenence
          -
        • -
        • -Strong client-focus and responsiveness to business needs
          • Experience in dashboard development
          -
        • -
        • Well-developed communication and presentation skills including executive interaction
        • +
        • Excellent communication skills.
        • +
        • Good understanding on Technology and how it can help solve problems.
        • +
        • Curiosity and willingness to learn as part of a team.
        • +
        • Ability to write SQL queries and performing data analysis with Python.
        • +
        • Extensive experience creating visualisation using various tools such as Tableau
        • +
        • Expert at pulling, cleaning and manipulating large sets of data into insights.
        • +
        • A strong interest in ESG matched with an eagerness to learn.
        -

        Nice to have:

        +

        +

        Nice-to-have

          -
        • PMP Certified or equivalent
        • -
        • Basic financial accounting knowledge
        • -
        • Exposure to financial services and/or financial products.
        • +
        • ESG experience
        • +
        • Completed or studying CFA
        • +
        • Online Data Science courses, Udemy etc.
        +


        What is in it for you?

        +

        +

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

        -

        What\'s in It for You?

        -

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

          -
        • Positive work culture emphasizing diversity and inclusion, volunteerism, and community involvement
        • -
        • A comprehensive Total Rewards Program including great benefits, annual incentive program and recognition
        • -
        • Leaders who support your development
        • -
        • A dynamic, collaborative, and high-performing team
        • -
        • Opportunities to do challenging work and grow your career
        • -
        • Work-life integration
        • +
        • A comprehensive Total Rewards Program including bonuses, flexible benefits and competitive compensation
        • +
        • Leaders who support your development through coaching and managing opportunities
        • +
        • Opportunities to work with the best in the field
        • +
        • Ability to make a difference and lasting impact
        • +
        • Work in a dynamic, collaborative, progressive, and high-performing team
        • +
        • A world-class training program in financial services
        • +
        • Flexible working options fully supported.

        -

        Job Summary

        -

        Address:

        TORONTO, Ontario, Canada

        City:

        CAN-ON-TORONTO

        Country:

        Canada

        Work hours/week:

        37.5

        Employment Type:

        Full time

        Platform:

        Technology and Operations

        Job Type:

        Regular

        Pay Type:

        Salaried

        Posted Date:

        2023-02-24-08:00

        Application Deadline:

        2023-02-27-08:00
        +

        Address:

        London, United Kingdom of Great Britain and Northern Ireland

        City:

        GBR-GREATER_LONDON-LONDON

        Country:

        United Kingdom

        Work hours/week:

        35

        Employment Type:

        Full time

        Platform:

        Wealth Management

        Job Type:

        Regular

        Pay Type:

        Salaried

        Posted Date:

        2023-06-21

        Application Deadline:

        2023-07-05

        Inclusion and Equal Opportunity Employment

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

        Join our Talent Community

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

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

        -
        ",,https://jobs.rbc.com/ca/en/job/R-0000049039/Sr-Manager-Reporting-Analytics-USCM-Tech,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-07-17T01:51:01.858Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/236957477-sr-manager-reporting-analytics-uscm-tech-at-rbc,,draft,2023-06-17T01:51:01.553Z,import-xml-feed:RBC-Job-Feed,,,,,,, -92e7ed8d-3dcf-4727-83f6-b30d84269560,236805009,Bell Canada,"Sr. Product Manager, Network Solutions",on_site,"Toronto, Ontario",2023-06-16T19:22:05.049Z,"

        Req Id: 411414 


        At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content - we advance how Canadians connect with each other and the world.


        If you’re ready to bring game-changing ideas to life and join a community that values professional growth and employee wellness, we want you on the Bell team. 


        Our Bell Business Markets team enables the digital transformation of businesses and governments nationwide through solutions in areas including Internet and private networks, voice and unified communications, contact centre, security, Internet of Things, data centre and cloud. We’re proud to be Canada’s leading provider of broadband network and communication services for businesses and governments.

         

        -
        -
        -

        Role Description

        -
        -
        -

        -

        As the Senior Product Manager for Network Solutions, you will be the subject matter expert working closely with our partners, technology, incubation, sales and marketing teams to provide thought leadership to help Canadian businesses stay connected. You will be a key member of the Advanced Products & Solutions (APS) team and will leverage your leadership, technical acumen, business intelligence and finance skills to accelerate the development and growth of the next generation of networking solutions including SD-WAN, Managed Wi-Fi and Managed LAN

        -
        -
        -
        -
        -

        Key Responsibilities

        -
        -
        -

        +
        ",,https://jobs.rbc.com/ca/en/job/R-0000059632/Data-Analyst-ESG,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-07-07T01:56:02.067Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/243216691-data-analyst-esg-at-rbc,,draft,2023-07-05T01:51:03.787Z,import-xml-feed:RBC-Job-Feed,,,,,,, +3daf2652-7b46-4339-8b71-e938eccf7365,243217473,Clearpath,Software Developer-OS,on_site,"Ontario, Canada",2023-07-05T02:18:07.411Z,"

        Description

        +

        Position: Clearpath OS - Software Developer
        Location: Kitchener, Ontario
        Experience: 5+ years
        Education: Graduate degree in engineering/CS or a related field
        Division: OTTO Motors

        +

        About OTTO Motors, a division of Clearpath Robotics

        +

        Our mission is to create safer, more productive and fulfilling workplaces with autonomous material handling technology.

        Most recently, OTTO Motors was recognized among the top 1% of Canada’s highest-performing global private companies by Communitech….. and Fast Company’s 2023 list of Most Innovative Companies in 2023.

        +

        Our loyal customers are also the most recognizable brands in the world and trust OTTO Motors to fulfill their mission-critical material handling needs: General Electric, Toyota, Hershey, Caterpillar, Berry Global, and more. For more information about us, visit www.ottomotors.com. OTTO delivers intelligence, productivity, scalability, results and most importantly, the future.

        +

        As a Software Developer, you will:

          -
        • Define and execute the product strategy and associated roadmap for network solutions (e.g. SD-WAN, security, and Cloud Services).
        • -
        • Be an expert with respect to customer needs, market trends and competitor products
        • -
        • Work collaboratively with cross-functional teams including development, Delivery Technology, IT, marketing and sales to ensure the product is developed and launched successfully.
        • -
        • Identify and pursue opportunities for product simplification, improvement in the end-to-end product offering, and overall customer experience
        • -
        • Manage all aspects of in-life products, including customer feedback, new requirements, and/or product issues
        • -
        • Work with external vendors to assess partnerships and licensing opportunities
        • -
        • Work with marketing to develop value propositions, sales tools, and product collateral
        • -
        • Provide active support to both Sales and Account Architects on customer engagements
        • -
        • Act as the internal champion for their portfolio
        • +
        • Design and implement custom software, ranging from low-level robot control code to fleet communication and application development ( C++, python, ROS, ROS2 )
        • +
        • Design and develop architecture, in conjunction with our Autonomy and Fleet management teams
        • +
        • Participate in team-wide coding and architecture reviews
        -
        -
        -
        -
        -

        Critical Qualifications

        -
        -
        -

          -
        • Minimum of 5+ years experience as a Product Manager and/or Product Marketing (experience in product lifecycle is essential)
        • -
        • Demonstrated success defining and launching excellent products
        • -
        • Experience and knowledge regarding SD-WAN, security solutions, and cloud services
        • -
        • Familiarity of connectivity solutions (Internet, private, and wireless networks)
        • -
        • Bachelor’s degree in Business, Engineering, Mathematics and/or Computer Science (MBA a bonus
        • -
        • Excellent teamwork skills
        • -
        • Proven ability to influence cross-functional teams without formal authority
        • -
        • Excellent verbal communication, presentation skills, and writing proficiency.
        • -
        • Working knowledge of Scrum and Agile principles is an asset.
        • -
        • Bilingualism in French and English would be a strong asset
        • +
        • Collaborate with other teams including perception and navigation, fleet management and application UI
        • +
        • Triage and support live industrial systems in our test facilities
        -

        -

        #Tech #Talent #Indeed #LinkedIn

        -
        -
        -

        #EmployeeReferralProgram  

         

        Adequate knowledge of French is required for positions in Quebec. 

         

        Additional Information:

        Position Type: Management 
        Job Status: 
        Regular - Full Time 
        Job Location:
        Canada : Nova Scotia : Halifax || Canada : Ontario : Mississauga || Canada : Ontario : Ottawa || Canada : Ontario : Toronto 
        Work Arrangement: Hybrid
        Application Deadline: 03/03/2023

         

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

         

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

         

        At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

         

        Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

         

        Created: Canada, ON, Toronto

         

        Bell, one of Canada's Top 100 Employers.

        ",,https://jobs.bell.ca/ca/en/job/BECACA411414EXTERNALENCA/Sr-Product-Manager-Network-Solutions?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2023-07-16T19:22:05.055Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/236805009-sr-product-manager-network-solutions-at-bell-canada,BECACA411414EXTERNALENCA,draft,2023-06-16T19:22:05.049Z,import-xml-feed:Bell-Canada,,,,,,, -483b0b76-3bf7-4f1d-a9d2-62bfa7e0675e,237205991,TD Bank Group,MuleSoft Solution Design IT Specialist,on_site,"Toronto, ON",2023-06-17T15:53:01.843Z,"
        -

        Company Overview

        -
        -

        Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

        -

        Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

        -
        +

        You come ready with:

        +
          +
        • 5+ years of experience working on C++ projects
        • +
        • Graduate degree in engineering/CS or a related field, with applicable background
        • +
        • Strong software development skills (C++ and Python)
        • +
        • Proficiency with Linux (Debian based distributions)
        • +
        • Working knowledge of the Git version control system
        • +
        • Used Unit Testing framework such as GTest/GMock or other
        • +
        • Excellent teamwork and communication skills
        • +
        • Ability to develop software development plans, including timelines and test procedures
        • +
        • Able to work in Canada
        • +
        +

        What’s in it for you:

        +
          +
        • Work life balance - vacation, half-day birthdays and wellness days
        • +
        • Hybrid work environment
        • +
        • Flexibility in when you work, core hours are 10am-3pm EST
        • +
        • Competitive salary and career growth opportunities
        • +
        • Comprehensive benefits for you and your family to support your health and wellness
        • +
        • Additional perks to get you set up at home/work
        • +
        • Opportunity to make a difference with the world’s deadliest, dirtiest and dangerous jobs
        • +
        • Amazing co-workers to laugh and have fun with
        • +
        • Engineering run quarterly Hack Days to pursue interests, passion projects, and experiments
        • +
        • Enjoy designing the future of robotics!
        • +
        +

        At Clearpath, we are committed to building and supporting a culture of diversity, inclusion, and accessibility. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, veteran status, sex, sexual orientation, gender identity, and expression. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

        ",,http://jobs.jobvite.com/clearpath/job/ozQEnfwa,feed-importer@jobboard.io,,,,2023-08-04T02:18:07.411Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217473-software-developer-os-at-clearpath,,draft,2023-07-05T02:18:07.411Z,import-xml-feed:Selenium-Scraper,,,,,,, +5677ac26-dde4-4379-be72-b18ac7fc9765,243217441,OMERS,Senior Information Management Specialist,on_site,"Ontario, Canada",2023-07-05T02:18:03.507Z,"
        +

        +

        +

        Why join us?

        +

        Are you looking to join a dynamic pension plan that embodies the strong values of its 560,000 members and is an industry leading global investor? If so, we would love to tell you, our story.

        +

        At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

        +

        We are looking for a motivated Senior Information Management Specialist to join the dynamic Architecture, Infrastructure, Data & Analytics (AIDA) team within OMERS Data & Technology. AIDA applies data, analytics, and AI to develop scalable and appropriately governed solutions that drive sustainable growth at OMERS.

        -

        Department Overview

        -
        -

        Building a World-Class, Diverse and Inclusive Technology Team

        -

        We can’t afford to be boring. Neither can you. The scale and scope of what TD does may surprise you. The rapid pace of change makes it a business imperative for us to be smart and open-minded in the way we think about technology. TD’s technology and business teams become more intertwined as new opportunities present themselves. This new era in banking does not equal boring. Not at TD, anyway.

        -

        Within TD Technology, the Business Banking Credit & Sales Technology Team owns a number of Technical Applications that cover the Sales and Credit underwriting needs of Small Business Banking and Commercial Banking. We are undertaking a huge multiyear Modernization journey and we are excited to add some new members to our amazing team.

        -

        There’s room to grow in all of it.

        -
        +

        Job Description Summary

        -

        Job Description

        -
        -

        About This Role

        -

        The Business Banking Credit and Sales modernization team is seeking an experienced Senior IT Specialist to join our team, providing Overall Technical Design, Development, Process Improvements, and training/mentoring as necessary.

        -

        The primary accountabilities for this position are:
        • Continuously evolve design processes, including experimentation and learning with emerging methodologies
        • Produce all required design specifications (as per TD standards), work with the Application Owner, Development Manager, Solution Architect and Project Managers to create detailed technical task lists, provide technical guidance to the project team, and enforce TD project standards and best practices
        • Must be a self-starter, demonstrated ability to take independent action to achieve results.
        • Conduct program/ system research, analysis, detailed design and problem resolution
        • Define development specifications and identify system modifications required to meet performance objectives
        • Ensure design has traceability to business requirements
        • Advise and provide expert knowledge on the technical feasibility of the proposed deliverables
        • Identify and address application and data issues and cross-capability and cross-release issues that affect application integrity.
        • Work with Developers to ensure that the detailed technical design is fully understood, and the development initiatives are in line with the intended design
        • In conjunction with the Solution Architect, assist the Application Owner, Development Manager and Application Manager by providing effort estimates for new projects and initiatives
        • Develop, implement, maintain and improve solutions/processes that maximize system availability, efficiency/ effectiveness and minimize/prevent problems/ issues
        • Deliver effective and efficient solutions by meeting key project milestones and overall project deliverables on time, within budget, and adhering to development and quality standards
        • Ensure defect free programming by testing and debugging using available/appropriate tools and participate in reviewing peer coding
        • Adhere to standard security coding practices to ensure application is free of most common coding vulnerabilities
        • Ensure the timely completion of work volumes on a daily basis and suggest opportunities to improve efficiency within the department
        • Work effectively as a team, supporting other members of the team
        • Comply with agile methodology, system development life cycle (SDLC) and project management methodology (PMLC)
        • Consult on development of the System Requirements Specification (SRS) with Business Analysts.

        -
        +

        Reporting to the Manager of Information Management, in this role you will:

        +
          +
        • Contribute to the modernization journey of information management at OMERS in multiple ways, from strategy to execution, operations, and learning.
        • +
        • Operationalize Enterprise Information Management (EIM) capabilities for electronic information across the entire Information Lifecycle (Create, Store, Use, Share, Archive & Destroy), to improve efficiency, promote transparency and enable business insight.
        • +
        • Operationalize Retention and Disposition capabilities for data stored in Microsoft 365 and establish processes to monitor and manage ongoing disposition reviews across the organization.
        • +
        • Participate in enterprise-wide projects and initiatives to streamline information management practices and migrate content from heritage platforms to modern workplace solutions such as M365 SharePoint/Teams.
        • +
        • Provide Information and Records Management advisory services, training, and enablement to employees across the organization.
        • +

        -

        Requirements

        -
        -

        What can you bring to TD? Share your credentials, but your relevant experience and knowledge can be just as likely to get our attention. It helps if you have:

        -

        • 8+ years’ experience in integration (API/Batch/Event) Development/Design/Architecture is a must.
        • 3+ years of design and development experience in Mule 4.0 with both on-premises and Cloudhub implementations.
        • Hands on experience with MuleSoft APIM, SWAGGER & RAML spec design, API proxy management, and security policy.
        • Understand and implement Dataweave scripts.
        • Deploy APIs to Cloudhub, Runtime Fabric, On-prem workers, etc.
        • Practice API-Led Connectivity
        • Analyze and designs the system requirements
        • Communicate with the development team and stakeholders
        • Create/Manage Basic CI/CD Pipelines (Maven Plugin, Jenkins, Bamboo, etc.)
        • Experience with SOAP, WSDL, XML, REST, RAML and JSON.
        • Experience with Mule API Gateway and good understanding of Mule security.
        • Java programming skills, working experience with JDBC, JMS, Salesforce and nCino is a plus.
        • Creative problem solver, ability to understand, develop, enhance, and support highly customized applications
        • Maintain and enforce high quality design documentation, coding standards, security standards, monitoring rules,
        • Familiarity with tools like Bitbucket/Git, Eclipse, RAD, JIRA, and Confluence.
        • Strong verbal and written communication skills are essential
        • Superior multi-tasking skills and the ability to work in a fast paced, deadline-oriented and complex environment/systems
        • Build personas, storyboards, flowcharts, wireframes and prototypes
        • Work closely with other designers, architectures, and engineers to ship extraordinary products and experiences
        • Design flows and experiences that are incredibly simple and elegant
        • The chosen candidate will work in a high paced team on a high visibility project. He/she will be expected to work in an agile environment and be able to consistently deliver quality work
        • Effectively communicate research findings, conceptual ideas, detailed design, and design rationale both verbally and visually
        • Develop software that is both reliable and scalable as the eventual user base will be the entire bank
        • In depth understanding of full application stacks and the ability to work in any layer (client/server/business/database)
        • Effective time and task management skills, including the ability to manage concurrent deliverables
        • Ability to code, debug, research, analyze and problem-solve development issues
        • Knowledge of business/ organization, Bank standards, infrastructure, architecture and technology in related areas from a design/ support/ solutions perspective
        • Strong customer orientation and a professional approach with the ability to interact with all levels within the organization
        • Demonstrated ability to grasp and translate technical concepts, think independently, and take the initiative required to resolve issues in a team structure
        • Self-motivated team player with high energy and ability to work independently as well as within a team
        • A positive can-do attitude with openness to promoting knowledge sharing

        -
        +

        To be successful in this role, you will develop and nurture strong relationships with key partners (including Technology Teams, Risk, Privacy, Cybersecurity, Internal Audit, Compliance) and OMERS Business Units to enable information management solutions in alignment with applicable laws, regulations, industry standards and best practices which govern the handling of records and data. You will also develop, implement, and maintain key processes and controls for complying with those requirements, such as data retention and disposition processes. In doing so, you will directly strengthen our compliance practices and help optimize the ability of data to support a diverse array of global business functions.

        -

        Additional Information

        -
        -

        Join in on what others in TD Technology Solutions are doing:

        +

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

          -
        • Inspire a positive work environment and help champion quality, innovation, teamwork and service to the business.
        • -
        • Learn voraciously, stretch your thinking, share your knowledge and educate others.
        • -
        • Communicate and collaborate with both technical and non-technical professionals.
        • -
        • Cultivate winning relationships by building trust with business and technology partners.
        • -
        • Share our commitment to productivity, effectiveness and operational efficiency.
        • -
        • Embrace change and witness amazing things happen – from the inside.

          Make your mark. Join a dynamic team. Explore new ideas. This is your opportunity to impact the future of banking technology in areas and ways you’ve never imagined (at a bank)! Visit techjobs.td.com to learn more.

          -
        • +
        • Participating in enterprise-wide services to operationalize retention and disposition policies/labels on Microsoft 365 Online (Exchange Online, OneDrive, SharePoint & Teams).
        • +
        • Working with the Information Governance and Technology teams to establish reporting and monitoring capabilities for Microsoft 365 retention.
        • +
        • Working with OMERS Business Functions, Information Governance and Technology Teams to manage disposition trigger events and conduct disposition reviews for electronic records stored in the Microsoft 365 environment.
        • +
        • Developing electronic records file plans and retention labeling procedures for Business Functions across the OMERS organization.
        • +
        • Participate in the analysis of data and migration activities to clean-up content stored on legacy platforms such as Network Drives.
        • +
        • Create educational materials and best practices such as SharePoint & Teams Site usage best practices.
        • +
        • Assist with the establishment and ongoing operational activities related to the Data Stewardship Program to enable management and oversight of our organizational data assets.
        • +
        • Drive a culture of compliance and innovation by delivering records and information management related training, awareness, and enablement programs.
        -

        -

        Hours

        -
        37.5
        +

        To succeed in this role, you have:

        +
          +
        • Degree or diploma in Archives, Information Studies, Library and Information Science, Information Technology Management, Law, Compliance or Policy Management AND/OR relevant professional certification, such as Certified Records Manager (CRM), Certified Records Analyst (CRA), Information Governance Professional (IGP) or Certified Information Professional (CIP).
        • +
        • 3+ years experience working as a Information Management specialist (or similar) on Enterprise Content Management (ECM) and/or Migration projects.
        • +
        • Experience to capture business/functional requirements and articulate as process workflows using system mapping tools such as Visio and translate into User Stories.
        • +
        • Ability to analyze and understand business information and records management requirements to develop business solutions.
        • +
        • Good understanding of records/data retention, disposition, legal holds, archival preservation, content management systems and information governance standards and best practices.
        • +
        • Ability to build relationships and facilitate discussion across a diverse group of stakeholders from different business units.
        • +
        • Demonstrated experience in project and time management.
        • +
        • Polished written communication and dynamic presentation skills targeted at all levels of the organization.
        • +
        • Experience with Microsoft Purview Compliance Portal is an asset.
        • +
        • Organizational Change Management Experience is an asset.
        • +
        • Experience automating or enhancing records and data management processes through the use of technology is an asset.
        • +
        • Experience working in the Finance, Pensions, Investments or Commercial Real Estate sectors is an asset.
        • +
        +

        +

        +

        +

        +

        Our story:

        +

        Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

        -

        Inclusiveness

        -

        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

        +

        OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

        +
        ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Lead-Information-Management-Specialist_JR-5064?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-07-18T02:23:02.961Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217441-senior-information-management-specialist-at-omers,,draft,2023-07-05T02:18:03.507Z,import-xml-feed:Selenium-Scraper,,,,,,, +a8bec8a3-040a-41c1-8416-a8cb7c93efe0,243217446,OMERS,Director of Technology Architecture,on_site,"Ontario, Canada",2023-07-05T02:18:03.994Z,"
        +

        +

        +

        Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

        +

        At OMERS, we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

        +

        The Director of Technical Architecture will be joining the Architecture, Infrastructure, Data & Analytics (AIDA) team within Data & Technology (D&T), reporting to the Vice President, Enterprise Architecture. You will collaborate with teams across OMERS and Oxford to drive the design and implementation of the firms’ overall technical architecture across a variety of domains. The incumbent will be accountable for enabling teams within our federated delivery model with the right advice that will allow them to design solutions that implement key technologies in a consistent fashion.

        -
        ",,https://jobs.td.com/en-CA/jobs/18306771/mulesoft-solution-design-it-specialist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-07-17T15:53:01.852Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237205991-mulesoft-solution-design-it-specialist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18306771/mulesoft-solution-design-it-specialist-toronto-ca/,draft,2023-06-17T15:53:01.843Z,import-xml-feed:TD-Bank-Group---Job,,,,,,, -f8bc1415-72b7-4a44-8fd2-77b440a83d76,237205980,Scotiabank,Technical Product Manager - CID&A,on_site,Canada : Ontario : Toronto,2023-06-17T15:52:05.420Z,"

        +

        Key Responsibilities:

        +
          +
        • Derive the future-state technology architecture with EA peers to analyze business strategy and trends, as well as change requirements in other EA viewpoints (such as business, information and solution); remedy deficiencies in the current-state technologies to derive the future-state technology architecture.

        • +
        • Lead and collaborate to deliver business value by championing and supporting EA activities that guide the development and management of technical and infrastructure solutions.

        • +
        • Define and maintain technical standards, principles, patterns and best practices for the company\'s technology stack.

        • +
        • Collaborate with engineering teams and other technical practitioners to design technical solutions that are scalable, maintainable, and meet business requirements.

        • +
        • Analyze and evaluate technologies by providing leadership, analysis and design to develop target-state guidance for evolving the technical infrastructure across the enterprise; guide technology investment decisions in order to enable business strategies.

        • +
        • Identify and mitigate technical risks associated with complex projects.

        • +
        • Collaborate with stakeholders across the organization to ensure that technical solutions are aligned with business objectives.

        • +
        • Develop and maintain technical documentation, including architecture diagrams, standards, and guidelines across key technical domains.

        • +
        +

        Requirements:

        +
          +
        • A University degree or post-graduate in engineering, mathematics, computer science, or other quantitative disciple and/or combination of equivalent training, education and experience is required

        • +
        • 10+ years of progressive experience in designing, building, testing and deploying technical solutions.

        • +
        • 5+ years of experience as an architect with an emphasis on designing technical solutions for enterprise consumption.

        • +
        • An outcome oriented, systems thinking approach to solving sophisticated and often ambiguous problems to generate reusable solutions.

        • +
        • Strong leadership skills with the ability to manage technologists, either directly or indirectly.

        • +
        • Expertise in designing and implementing complex technical solutions.

        • +
        • Proficiency in articulating technical architectures across one or more of the following domains: security, infrastructure, cloud, data, integration and application.

        • +
        • Experience working on technology solutions in the financial services industry; exposure to technology solutions across one or more of pensions, investments, corporate functions and real estate is a nice-to-have.

        • +
        • Excellent communication and collaboration skills with the ability to work effectively with cross-functional teams.

        • +
        • Strong problem-solving and analytical skills with the ability to identify and mitigate technical risks.

        • +
        • Experience in project management and agile methodologies.

        • +
        +

        This is a high-impact role that requires a strategic thinker with excellent leadership and technical skills. If you are passionate about technology and have a proven track record of designing and implementing scalable and maintainable technical solutions, we encourage you to apply for this exciting opportunity!

        +

        +

        +

        +

        +

        Our story:

        +

        Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

        +

        +

        OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

        +
        ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Director-of-Technology-Architecture_JR-4920?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-07-11T02:23:03.163Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217446-director-of-technology-architecture-at-omers,,draft,2023-07-05T02:18:03.994Z,import-xml-feed:Selenium-Scraper,,,,,,, +e76ff57a-64be-4c37-a4e9-ff092c6f2c32,243217466,Clearpath,Perception Autonomy Developer Co-op,on_site,"Ontario, Canada",2023-07-05T02:18:06.313Z,"

        Description

        +

        Position: Perception Developer Co-op
        Location: Based in Kitchener-Waterloo, Ontario
        Duration: Fall 2023
        Study Level: Senior
        Area of Study: Computer Science, Software Engineering or Related Field
        Division: OTTO Motors

        +

        About OTTO™ Motors (Division of Clearpath Robotics)

        +

        OTTO™ Motors is a growing, disruptive company, making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self-driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit www.ottomotors.com.

        +

        About the Job

        +

        We\'re looking for a driven, resourceful and motivated candidate for the Perception Developer Co-op position. This person will help develop the next generation of perception and machine learning algorithms to tackle the toughest challenges in localization, mapping, object detection and computer vision.

        +

        The Perception Team’s primary responsibility is the development of the core robotics software responsible for environmental sensing and understanding on all of our vehicles. As a Perception Developer you will work on the development and testing of the core robotics software that drives vehicles at sites all around the world. You will be responsible for evaluating state-of-the-art ideas from academia and industry, and taking these ideas out of the lab and into the real world, identifying opportunities to improve, and developing high-performance software to run in real time on robots.

        +

        Your primary responsibilities will be:

        +
          +
        • Creating robust innovative solutions to the problems of robotic perception
        • +
        • Developing custom perception and machine learning algorithms and systems related to localization, mapping, object detection and tracking, computer vision, and more
        • +
        • Evaluating new sensing technology and robotic platforms
        • +
        • Assisting with concept development for new products and projects
        • +
        • Supporting the deployment and testing of robotic systems
        • +
        +

        Skills and experience:

        +
          +
        • Practical and theoretical knowledge in at least one or more areas of: state estimation, computer vision, SLAM, machine learning, object detection and tracking, robotic perception.
        • +
        • Strong software development skills in modern C++ and Python.
        • +
        • Proficiency with Linux
        • +
        • Understanding of software development workflows, life cycles and development methodologies and tools.
        • +
        +

        Bonus points for:

        +
          +
        • Hands-on experience with real world autonomous systems.
        • +
        • Experience writing efficient, high performance code.
        • +
        • Experience with ROS, Gazebo, OpenCV and PCL.
        • +
        • Experience with machine learning frameworks such as Tensorflow, PyTorch and TensorRT.
        • +
        • Familiarity with linear algebra and nonlinear optimization techniques and libraries such as Ceres, GTSAM, g2o and Eigen.
        • +
        +

        Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, gender identity/expression, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

        ",,http://jobs.jobvite.com/clearpath/job/oG8bnfw6,feed-importer@jobboard.io,,,,2023-07-11T02:23:03.163Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217466-perception-autonomy-developer-co-op-at-clearpath,,draft,2023-07-05T02:18:06.313Z,import-xml-feed:Selenium-Scraper,,,,,,, +0550edad-b747-4236-acf4-2b2267567ef2,243217458,Avidbots,"Senior Manager, Sales Enablement",on_site,"Ontario, Canada",2023-07-05T02:18:05.373Z,"
        +

        Our sales teams are geographically dispersed, and their ability to perform continuously at peak levels is critical to our success.

        +


        +

        We are looking for a Sales Enablement Manager who will work closely with the sales teams and stakeholders across business units, handling a variety of efforts related to our Sales Enablement programs. These include Learning Management System administration, reporting and analytics, workshop logistics, training sessions, scheduling and onboarding assistance for new team members in the Sales organization.

        +


        +

        Day-to-Day Activities

        +
          +
        • Mentor and coach an enablement team to identify & develop new initiatives to facilitate sales growth
        • +
        • Leverage technology insights and data to create a culture of coaching; support sales and business growth via structured and streamlined coaching
        • +
        • Assists with onboarding initiatives and processes
        • +
        +
          +
        • Manages the flow of new hires and acts as a point of contact during onboarding
        • +
        • Pre-plans and handles logistics for virtual, in-class training events and certifications including venue sourcing and system design
        • +
        • Organizes and schedules trainers and various presenters/stakeholders for relevant workshops
        • +
        • Facilitates workshops as needed
        • +
        • Supports Learning Management System administration including enrollments, course management and system structure
        • +
        • Coordinates and sends communications
        • +
        • Enhances processes, looks beyond the status quo
        • +
        • Supports with reporting and analytics
        • +
        • Up to 15% travel
        • +
        +


        +

        Requirements

        +
          +
        • Navigating in a fast-paced environment, shifting as needed to meet business requirements
        • +
        • 5+ years of professional experience in sales and/or enablement roles
        • +
        • Balancing and prioritizing multiple priorities
        • +
        • Organization, detail and change management
        • +
        • Learning Management system administration, design and reporting
        • +
        • Excellent communication skills, both written and verbal
        • +
        • Passion for technology and learning
        • +
        • Establishing and maintaining positive relationships quickly
        • +
        • Helping and collaborating with others
        • +
        • Working autonomously, understanding the value and power of a team
        • +
        • Previous experience with program coordination, logistics and reporting
        • +
        • Proficient working with Learning Management Systems
        • +
        • Comfortable with presentation and facilitation
        • +
        • Successfully complete pre-employment onboarding requirements that may include: criminal/civil background checks and motor vehicle records search)
        • +
        +


        +

        About Avidbots

        +

        At Avidbots, we believe in solving real world problems with autonomous cleaning robotic solutions to unlock humanity’s potential. Neo is our current groundbreaking autonomous floor scrubbing robot that enhances facility cleanliness around the world empowering reallocation of human capital to higher priority focuses… and we’re just getting started!

        +


        +

        Headquartered in Kitchener, ON, Canada, we are an employee-focused organization that has been certified a Great Place to Work® consecutively for the last 4 years and one of Deloitte\'s Fast 500 (2021).

        +

        Now is your opportunity to join a fast-growing technology company built on teamwork, innovation, and boundless ambition!

        +

        Check Neo out!

        +


        +

        ***Applicants must be currently authorized to work in Canada for any employer

        +


        +

        CAD: Avidbots is an equal opportunity employer committed to building a diverse workforce. As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. We are a diverse Canadian company founded by international students, and we are proud of the strengths our diversity brings. We hold our executives to the same standards as all of our employees, and we believe work should be a safe space for all. Avidbots has an absolutely zero tolerance policy for discrimination or hate against members of any race, religion or sexual orientation. We also offer a professional working environment and culture and believe that work / life balance is critical to ensure the happiness/well-being of our people.

        +


        Upon request, Avidbots will provide reasonable accommodation for applicants with disabilities throughout the recruitment and selection process.

        +

        +

        #INDAV

        +
        ",,https://avidbots.bamboohr.com/careers/678,feed-importer@jobboard.io,,,,2023-07-11T02:23:03.163Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217458-senior-manager-sales-enablement-at-avidbots,,draft,2023-07-05T02:18:05.373Z,import-xml-feed:Selenium-Scraper,,,,,,, +ed0b52b1-769a-40e6-b436-64dd2ca38c90,245220827,EllisDon,Back End Developer,on_site,"Mississauga, ON L4Y1M4, CAN Mississauga, ON L4Y1M4, CAN",2023-07-10T16:04:01.939Z,"

        Job Details

        Description

        +

        Connect with us LinkedIn, Instagram, Facebook, Twitter

        +

        Do you want to build the software that builds cities? EllisDon’s construction technology team is made up of Full-Stack Developers, Data Analysts, UX Designers, Product Owners, IT Operations and we’re growing fast! Our team also includes some of the best digital modelers and BIM specialists in the industry, experts who are working with the latest tech on projects in the billions of dollars.

        +

        We are a software development studio of 140+ people, backed by one of Canada’s top construction firms, with over 70 years in the industry and completing over $5 billion of work each year. We build software that is solving real-world problems on some of Canada’s largest construction projects.

        +

        Above all, we at EllisDon work hard to deliver great careers to one another. We choose to celebrate the strength in our differences, every day. EllisDon’s commitment to Inclusive Diversity is to work together to create an environment where every employee feels safe to be their true and authentic self. Ultimately, EllisDon’s purpose is to provide people with similar values the opportunity to achieve their full potential; to deliver that opportunity for great careers to one another; and to contribute meaningfully to the community we share with others.

        +

        In case you’re curious, here’s what the industry thinks of us and some of the impacts we've made to the communities we work in.

        +

        You, as a Back End Developer, will:

        +
          +
        • Design and build functional backend solutions using microservices
        • +
        • Support our user by resolving urgent escalations
        • +
        • Collaborate with architects, product owners and delivery managers to prioritize value delivery in an agile environment
        • +
        • Define standards, patterns and best practices to ensure quality and velocity
        • +
        +

        This is the right role for you, if you have:

        +

        Must Have:

        +
          +
        • A University degree in Software Engineering, or equivalent.
        • +
        • 5+ years of F/T industry-level experience as a BackEnd developer.
        • +
        • Expertise in Java / Java EE
        • +
        • Development experience with Spring boot, Spring cloud and implementing RESTful APIs.
        • +
        • Strong knowledge of NoSQL or RDBMS systems.
        • +
        • Working knowledge of SCM tools and best practices (Git, Maven, Azure DevOps etc.).
        • +
        • Excellent interpersonal and highly developed communication skills (verbal and written)
        • +
        • A creative and analytical thinker who is self-driven and capable of working in a fast-paced environment
        • +
        +

        Nice to Have:

        +
          +
        • Working knowledge of message brokers like RabbitMQ and search engines like ElasticSearch
        • +
        • Experience in working with Docker and on cloud-native solutions with a platform like Kubernetes clusters hosted on a public cloud infrastructure (e.g., GCP, Azure or AWS)
        • +
        +

        EllisDon is proud to provide this unique career opportunity that provides continuous learning, opportunity for growth, and a competitive compensation package within an environment that is committed to inclusion and respects diversity.

        +

        Go ahead and be yourself. We'll pay you for it!

        +

        We are an equal opportunity employer. We welcome people of any age, culture, subculture, gender identity or expression, sexual orientation, nationality, ethnicity, race, size, mental or physical status, veteran status, religion, language, political opinion, working-style preference, family status, education, and socio-economic status. The EllisDon core values of Integrity and Mutual Respect welcomes everyone, at work and in the community, and our value of Mutual Accountability, means that we all have a role to play. As an EllisDon employee, this will ultimately be your commitment to Inclusive Diversity.

        +

        ​Accommodation for Applicants with disabilities will be made during the recruitment process when requested.

        +

        We are committed to providing a positive candidate experience and ensuring timely updates are provided to all candidates. If you haven’t already, be sure to create a profile on our Careers page here to remain up to date on the status of your application and learn about new career opportunities as they arise.

        +

        Qualifications

        Skills

        Behaviors

        :

        Motivations

        :

        Education

        Experience

        Licenses & Certifications

        ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=03c3eec4-ceb7-4444-8dfa-efa2cd5f4c4f,feed-importer@jobboard.io,,,,2023-08-09T16:04:01.940Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/245220827-back-end-developer-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=03c3eec4-ceb7-4444-8dfa-efa2cd5f4c4f,draft,2023-07-10T16:04:01.939Z,import-xml-feed:Scrapy-Scraper,,,,,,, +a88799c1-87c2-42d7-a4f6-352b280db613,245220765,Scotiabank,Manager Business Analysis,on_site,Canada : Ontario : Toronto,2023-07-10T15:52:04.272Z,"

        -

        Requisition ID: 179342

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

        +

        Requisition ID: 180339

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

        -

        Purpose:

        +

        Purpose of Job:
        The Manager, Business Analysis is a key player within the Credit Information Systems team, supporting strategic enhancements to the Non-Retail Enterprise Repository, CARDS and the MIS reporting platform in BBCR D&A.

        +


        The internal and external demand for accurate, consistent and on-demand information from GRM continues grow. The Manager, Business Analysis will review and assess stakeholder business needs for improved risk information and help define new MIS
        reporting and or systems enhancements to respond to these business, operational and compliance requirements.

        +


        Informational gaps are resolved through business analysis to determine the correct solutions to the deficiency. Activities include data analysis, business requirement solution determination and writing, and supporting system enhancements development and implementation. This role will also provide key support to the BBCR D&A Risk Reporting & Analytics team to ensure consistent design of reports to enterprise definitions and approach.

        -

        Technical product managers spend much of their time on how things get implemented and what technology is required to meet business requirements. Our team is looking for someone to join us and hold direct responsibility for technical aspects surrounding enterprise product development. You will work closely with the Product Owner to realize the product vision for our product, Universal Catalog.

        +

        Major Accountabilities:

        +
        • Define, assess and writes detailed analysis and documentation of Business Requirements for new applications & legacy systems enhancements, to be designed by development groups
        • Analyses and identifies gaps with current Systems and Reporting capabilities.
        • Define MIS reporting needs and write detailed requirements for new or existing reporting that will provide GRM improved risk information and reporting capabilities.
        • Analyze existing and emerging credit information needs and processes within GRM departments in light of business priorities and regulatory initiatives.
        • Support the business by reviewing technical documents (FSD’s/EDD’s) and participating in testing and implementation
        • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions
        • Creates an environment in which the team pursues effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
        • +

        -

        Your role will involve the following:

        -



        • Collaborate with product team, operations team, development team, and technical use cases to create and execute product features and capabilities (i.e.., User Research, demos, feedback sessions, and education sessions)
        • Analyze customer needs and make them into requirements, ensuring they are fully understood, and that any implementation plans meet expectations.
        • Assess new technology capabilities to measure their value potential to the portfolio.
        • Liaise with the team’s architects to define the product’s technical vision
        • Evaluate and deal with technical risks.
        • Contribute to the solidification of a product road map.
        • Build and own execution plans to meet product goals.
        • Assist the Product Owner with the management of the product backlog, write user stories when needed, and prioritize them based on changing requirements.
        • Ensure technical requirements are fully understood and execution plans match expectations.
        • Monitor and evaluate product progress at each stage of the execution process.
        • Work with product operations to consult on scalable user training.
        • Deepen domain expertise to answer questions related to the product and its capabilities from a technical lens.
        • Coach junior members of the product team to think in terms of holistic requirements.
        • Lead product documentation efforts and own documentation standards.
        • Develop product team testing standards.
        • Implement beta test scenarios to validate new feature ideas.
        • Analyze product metrics and data to identify improvement opportunities.
        • Participate in Scrum meetings, design meetings, Sprint Planning, Sprints, and Retrospectives
        • Serve as a product evangelist and SME to the technical/development community.
        • Promote product-led culture, and good data citizenship across CID&A, and Scotiabank.


        About DEA & the Universal Catalog product team

        The Data Enablement Architecture and Universal Catalog teams work to bring trust, understanding and ease of use to data product teams within CID&A.

        Universal Catalog (UC) has enabled the collection of a broad range of technical, operational, and business metadata across multiple lines of business in support of our data standards and Playbook. Moving forward, UC aims to become the user-friendly answer to data enablement, governance, understanding, and data access problems across the bank.

        Keys to success:

        -


        • Advanced knowledge of Agile methodologies.
        • Strong analytical and problem-solving skills.
        • Strong communication skills, written and verbal.
        • Strong technical knowledge of data management, software development
        • Customer-oriented thinking

        -


        +

        Education/Work Experience/Designations:

        +
        • Proficiency in Business Analysis procedures and requirements, as well as technical design requirements
        • Multiple delivery groups, all playing a unique role within a team environment. IT & S being a key partner
        • Developed analytical and strategic thinking.
        • Working understanding of Scotiabank’s operational practices, systems infrastructure and integration requirements
        • Experience in writing business requirements for systems development
        • Experience in Banking and or Credit is desirable.
        • Experience in data modeling, and the ability to grasp a customized repository approach.
        • Experience working in a project environment.
        • Strong understanding of technical design, systems infrastructure and I T & S analysis/process requirements, is desirable
        • Commerce/business/economics degree &/or technical background
        • +

        -

        Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/Technical-Product-Manager-CID&A/571038917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-26T15:57:02.883Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/237205980-technical-product-manager-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Technical-Product-Manager-CID&A/571038917/,draft,2023-06-17T15:52:05.420Z,import-xml-feed:Scotiabank,,,,,,, -eeb93bdc-63db-482b-a075-282e001b157c,237206047,Magna International,"Senior Category Manager, Equipment & Services",on_site,"Aurora, ONTARIO, CA, L4G 0G9",2023-06-17T16:04:06.718Z,"
        -
        -

        Role Summary

        -
        +

        Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/Toronto-Manager-Business-Analysis-ON-M5H1H1/571770317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-13T15:57:03.013Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/245220765-manager-business-analysis-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager-Business-Analysis-ON-M5H1H1/571770317/,draft,2023-07-10T15:52:04.272Z,import-xml-feed:Scotiabank,,,,,,, +ae20d4d1-81ca-4d9e-b445-23087290f688,239887326,Scotiabank,"Senior Manager, Pricing, Product & Business Analytics",on_site,Canada : Ontario : Toronto,2023-06-26T15:52:02.437Z,"

        -

        The Senior Category Manager position is responsible for developing and implementing the regional supply base strategies for divisions in North America, ensuring that the strategy is specific, fact-based, comprehensive, consistent, well-communicated and delivers superior financial returns and a competitive advantage to the business. In addition, the Sr. Category Manager ensures that the strategy developed is dynamic and responsive to the market, customer, supplier, and company needs. This individual has primary responsibility for the supplier relationship and drives supplier selection, development, and overall supplier management. The Senior Category Manager works with the Group Purchasing Leads to ensure a shared vision and alignment with overall business objectives. This role will be involved, to varying degrees, with all aspects of the strategic sourcing process, including project planning, specifications development, supply market research and supplier engagement, evaluation, selection, and new supplier implementation. Leads strategic sourcing activities for assigned sub-categories of spend, capturing savings through purchasing volume, leveraging, and negotiating price, working capital, and TCO contracts with suppliers in support of company goals and objectives.

        -
        -
        -
        -

        Key Responsibilities

        -

        -
        • Develops procurement and sourcing strategies for Magna divisions in Canada, US and Mexico for certain indirect equipment and supplies categories in terms of quality, delivery, service, and total cost
        • Gathers, reviews and analyzes business and industry data including details on spend and other key metrics to evaluate options and opportunities for the business
        • Provides fact-based understanding of bottom-line benefit of all decisions and opportunities
        • Develops expertise in assigned spend categories
        • Develops cost and scenario analysis, cost breakdowns and benchmark, including evaluation of cost drivers to support negotiation strategies to reach best cost and optimal terms, while at the same time assessing and mitigating risks
        • Leads cross-functional teams in design and execution of category sourcing strategies
        • Initiates/leads/participates in annual cost reduction and other value improvement projects
        • Coordinates all supplier issues with applicable functional organizations
        • Performs financial analysis and business case justification for project opportunities to present to senior leadership
        • Establish bid standards and prepares procurement documents to solicit bids and contracts for the purchase and/or lease of equipment, supplies and related materials and services, conducts and manages the process for the evaluations of proposals, offers and bids
        • Leads, manages, and negotiates contracts and supply agreements in support of overall goals and objectives
        • Leads internal reviews of contracts with required functional areas such as Legal, Finance, etc
        • Establishes and manages key supplier performance goals and objectives; communicates periodic results to plan and manage top-level continuous improvement; develops keen awareness of industry performance benchmarks
        • Keeps abreast of professional developments and manufacturing techniques; maintains continuous in-depth knowledge of industry trends, market conditions, and developing techniques
        • Coordinates with divisions and new products buying functions to integrate common suppliers/technology
        • Initiates, recommends, or provides solutions through designated channels
        • Performs other duties as assigned
        • -
        -
        -
        -
        -

        Key Qualifications/Requirements

        -

        -

        Knowledge and Education

        +

        Requisition ID: 180257

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

        -
        • MBA preferred, Bachelor’s Degree required, preferably in Purchasing, Supply Chain, Finance, Business, or Engineering
        • Business finance training is desired
        • Highly Capable in Microsoft Excel, PowerPoint, and ability to support and lead data analytics
        • Excellent communication, project management, and relationship building skills
        • Strong organizational and presentation skills
        • -
        +

        Purpose

        -

        Work Experience

        +

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

        -
        • Minimum 5 years management experience in automotive, related manufacturing industry or a large multi-plant enterprise
        • 7+ years purchasing experience, including procurement expertise in indirect commodities, purchase and/or lease of equipment, supplies and related materials and services
        • Proven success in achieving cost improvements through effective negotiations
        • Demonstrates ability to work effectively with different teams in different environments
        • -
        -
        -
        -
        -

        Skills and Competencies

        -
        -

        -
        • Works on extremely complex problems where analysis of situations or data requires an evaluation of intangible variables.
        • Analytical thinking and problem solving
        • Ability to pull, analyze data to deliver logical conclusions and present data-driven opportunities and solutions using analytic tools and technologies
        • Ability to develop and execute strategies
        • Resourcefulness and ability to devise creative solutions to problems
        • Understand industry and market trends, supplier base, and supplier economics for category
        • Exercises independent judgment in developing methods, techniques, and evaluation criteria for obtaining results.
        • Ability to effectively communicate and influence key stakeholders to support proposed strategies, process improvements and operational decisions
        • Ability to manage and prioritize multiple simultaneous projects with minimal direction
        • Strong negotiations, persuasive, and effective decision-making skills.
        • Strong understanding of contract language
        • Proficient verbal and written communication skills and financial acumen to deliver results in a fast-paced environment
        • Competence in writing reports and making presentations to highlight the effect of cost analysis and changes proposed

        • High proficiency in Microsoft Excel, PowerBi, PowerPoint and Word

        • Hands on experience with spend analytics and IT software

        • Experience with RFx strategy development and use of e-Sourcing tools

        • Interprets and complies with Company policies, procedures, and regulations

        • -
        -
        -
        -
        -

        Additional Information

        -

        -

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

        -

        Work Environment

        +

        Accountabilities

        -
        • Normal amount of sitting or standing, average mobility to move around an office environment, able to conduct normal amount of work at a computer
        • May require travel
        • -
        +

        • Product and pricing owner of Automotive Finance’s non-subvented strategy by proactively managing margin and growing revenue within prime retail loans through originations while managing the product and achieving NIM and ROAC profit plans.

        -

        Special Requirement

        +

        • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

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

        Awareness. Unity. Empowerment.

        -

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

        -
        -
        ",,https://jobs.magna.com/job/Senior-Category-Manager%2C-Equipment-&-Services/569235417/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-03T16:09:04.525Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206047-senior-category-manager-equipment-services-at-magna-international,https://jobs.magna.com/job/Senior-Category-Manager%2C-Equipment-&-Services/569235417/,draft,2023-06-17T16:04:06.718Z,import-xml-feed:Scrapy-Scraper,,,,,,, -12af864d-2732-4be0-87c5-abe6c08d4d5a,237206019,EllisDon,Microsoft Power Platform Specialist,on_site,"Mississauga, ON L4Y1M4, CAN Mississauga, ON L4Y1M4, CAN",2023-06-17T16:04:02.264Z,"

        Job Details

        Description

        -

        Connect with us LinkedIn, Instagram, Facebook, Twitter.

        -

        Do you want to build the software that builds cities? EllisDon’s construction technology team is made up of Full-Stack Developers, Data Analysts, UX Designers, Product Owners, IT Operations and we’re growing fast! Our team also includes some of the best digital modelers and BIM specialists in the industry, experts who are working with the latest tech on projects in the billions of dollars.

        -

        We are a software development studio of 140+ people, backed by one of Canada’s top construction firms, with over 70 years in the industry and completing over $5 billion of work each year. We build software that is solving real-world problems on some of Canada’s largest construction projects.

        -

        Above all, we at EllisDon work hard to deliver great careers to one another. We choose to celebrate the strength in our differences, every day. EllisDon’s commitment to Inclusive Diversity is to work together to create an environment where every employee feels safe to be their true and authentic self. Ultimately, EllisDon’s purpose is to provide people with similar values the opportunity to achieve their full potential; to deliver that opportunity for great careers to one another; and to contribute meaningfully to the community we share with others.

        -

        In case you’re curious, here’s what the industry thinks of us and some of the impacts we've made to the communities we work in.

        -

        You as a Microsoft Power Platform Specialist:

        -
          -
        • Be responsible for governance and security of the Power Platform
        • -
        • Be responsible for developing applications using Microsoft Power Platform components, such as Power Apps, Power Automate and Power Virtual Agents, among others.
        • -
        • Act as an internal expert in terms of the assigned system and is responsible for knowing what changes have been made to the base system. Plays a critical role in delivering high-quality service and support to various levels of internal users.
        • -
        • Assist in the evaluation, development, and implementation of company systems, including custom developed, off-the-shelf, and/or hosted solutions.
        • -
        • Automate business processes with Power Apps and Power Automate; outputs will include data visualization and low code applications.
        • -
        • Work directly with clients collecting and identifying functional requirements and support various projects and solutions.
        • -
        -

        This is the right role for you, if you have:

        -
          -
        • A University degree in Computer Science or equivalent
        • -
        • 8 years of F/T industry-level experience
        • -
        • 5+ years experience with Power Platform (Power Apps, Power Automate) or .NET platform (C#) and relational databases at least at seminar / diploma thesis level.
        • -
        • Proven experience creating efficiencies within organizations through implementing Power Platform and Microsoft 365 solutions
        • -
        -

        EllisDon is proud to provide this unique career opportunity that provides continuous learning, opportunity for growth, and a competitive compensation package within an environment that is committed to inclusion and respects diversity.

        -

        Go ahead and be yourself. We'll pay you for it!

        -

        We are an equal opportunity employer. We welcome people of any age, culture, subculture, gender identity or expression, sexual orientation, nationality, ethnicity, race, size, mental or physical status, veteran status, religion, language, political opinion, working-style preference, family status, education, and socio-economic status. The EllisDon core values of Integrity and Mutual Respect welcomes everyone, at work and in the community, and our value of Mutual Accountability, means that we all have a role to play. As an EllisDon employee, this will ultimately be your commitment to Inclusive Diversity.

        -

        Accommodation for Applicants with disabilities will be made during the recruitment process when requested.

        -

        We are committed to providing a positive candidate experience and ensuring timely updates are provided to all candidates. If you haven’t already, be sure to create a profile on our Careers page here to remain up to date on the status of your application and learn about new career opportunities as they arise.

        Qualifications

        Skills

        Behaviors

        :

        Motivations

        :

        Education

        Experience

        Licenses & Certifications

        ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=950c53bf-e031-49f4-9f3e-698f7a3ca017,feed-importer@jobboard.io,,,,2023-07-17T16:04:02.264Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206019-microsoft-power-platform-specialist-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=950c53bf-e031-49f4-9f3e-698f7a3ca017,draft,2023-06-17T16:04:02.264Z,import-xml-feed:Scrapy-Scraper,,,,,,, -0b29dfb5-8cc4-4e4b-b7c7-132e987a3f57,237622696,Magna International,Payroll & Benefits Administrator (20 Month Contract),on_site,"Concord, ONTARIO, CA, L4K 2R2",2023-06-19T16:04:02.813Z,"
        -
        -

        Key Responsibilities

        -
        1. Produce accurate and timely wages to all employees; provide payroll information to employees, Management and Government Agencies.

        2. Reconcile number of employees and hours input from Time and Attendance System (Enterprise Time) into the Payroll System (ADP WorkForceNow)

        3. Transmit payroll at appointed day and time to Payroll System service in order to receive timely pay cheques/direct deposits by appointed day

        4. Advise Finance Department of total payroll cost for wire transfer of funds to payroll account.

        5. Review Payroll Register received from Payroll System Service.

        6. Prepare weekly analysis/graphs of payroll costs for Management, and reports for Human Resources as requested (e.g. seniority, personnel).

        7. Prepare weekly payroll cost allocation for the Accounting Department.

        8. Update Employee Master File, Time Clock System and HRIS (Workday).

        9. Accumulate data for yearly-deferred profit sharing payment, update RRSP accounts and process vacation pay once per year to all eligible employees.

        10. Complete employee referral letters, Record of Employment, and assist in completion of any documentation as requested. Review all requests from external parties for information regarding any employee of Co-Ex-Tec.

        11. Monitor and pay garnishees.

        12. Analyse on an annual basis, all taxes paid, W.C.B., and Employers’ Health Tax.

        13. Help employees resolve payroll and benefit concerns. Interact with care and respect.

        14. Process additions, deletions and changes in benefit system. Ensure that required payroll adjustments are made in a timely manner. Prepare and submit insurance premium report to accounting in a timely manner.

        15. -
        -
        -
        -

        Key Qualifications/Requirements

        -
        • Secondary School Diploma, or equivalent

        • Post-Secondary Degree/Diploma, preferred; with excellent aptitude for figures

        • Minimum 3 years payroll experience

        • 1-3 years’ experience using ADP WorkForceNow

        • Sound computer skills, including knowledge of software in current use

        • Superior organizational and prioritizing abilities

        • Well-developed communication, organizational, interpersonal and analytical abilities

        • Working knowledge of Payroll System / Time & Attendance System

        • -
        -
        -
        -

        Additional Information

        -

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

        -
        -
        -

        Awareness. Unity. Empowerment.

        -

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

        -
        -
        ",,https://jobs.magna.com/job/Payroll-&-Benefits-Administrator-%2820-Month-Contract%29/571080717/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-03T16:09:04.525Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237622696-payroll-benefits-administrator-20-month-contract-at-magna-international,https://jobs.magna.com/job/Payroll-&-Benefits-Administrator-%2820-Month-Contract%29/571080717/,draft,2023-06-19T16:04:02.813Z,import-xml-feed:Scrapy-Scraper,,,,,,, -1b9d657f-80da-42d1-9261-64dbb6d35471,242607506,Scotiabank,GCP Cloud Engineer - CID&A,on_site,Canada : Ontario : Toronto,2023-07-03T15:52:04.099Z,"

        +

        • In partnership with the Director, Manufacturer Partnerships and with the Sales Leaders across Canada, the incumbent to develops recommendations/strategies and manages end-to-end pricing for Automotive Finance’s non-subvented business for Auto Dealer, RV, Marine, Leisure& Motorcycle. This involves a high degree of analysis, presenting to executives and managing day-to-day pricing needs with Dealer Finance Centres. He/She directly contributes to the business unit’s strategic planning and profitable revenue growth and is responsible to ensure the Bank is competitively positioned to meet the rapidly changing current and future needs of the market.

        +

        • Manages and executes product launches end-to-end for Auto Dealer, RV, Marine, Leisure & Motorcycle including product strategy and pricing. The incumbent has responsibility for ongoing market scoping and analysis, identifying market opportunities that lead to new product and program development, and will be the business lead for the management of complex project/programs as directed. This includes submission of NIRA’s and working with multiple stakeholders across the bank including legal, GRM, Operations, etc.

        +

        • Maintaining retail customer engagement and third-party vendor management by documenting key business requirements related to potential opportunities, preparing proposals, developing and implementing action plans and strategies and designing and recommending enhancements to existing products to maximize value to the business and the client/dealer.

        -

        Requisition ID: 180558

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

        +

        • Engaging in strategic project management by collaborating with the Director, GRM and Finance & Accounting in the development of pricing, profitability and sensitivity models to ensure proper risk analysis and to aid in the development of product concepts and proposals. While also participating in the creation of innovative product solutions that will continually redefine the market standard to support the Marketing & Sales leadership team, with a strong focus on digital direct product execution and delivery.

        -

        Purpose:

        +

        • Provide ongoing insight of sales analysis onbookings, pricing,portfolio trends, credit and other information that will support the executive evaluation for business decisions in Automotive Finance. This insight is not limited to the non-subvented portfolio but includes supporting analysis on the subvented and individual OEM book of business. The incumbent is a critical resource for the Sales Leaders across Canada as well as the Relationship Managers within the Manufacturer Partnerships Team as he/she is expected to support sales events, quarterly business reviews with partners and any ad hoc business related problems or opportunities that have been identified. The output of this person is not limited to insights and should include recommendations and solutions in the recommendations.

        -

        In partnership with the Customer Insights Data and Analytics teams and our IT partners the Data and Analytics Technology team supports the banks Data and Analytics needs with tooling, projects and IT operational support.

        -


        Accountabilities:

        +

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

        -

        The Terraform Engineer role will be responsible for infrastructure designing, developing, monitoring, and troubleshooting bank wide initiatives support by Data and Analytics Technology. This consists of infrastructure building, integration, process automation, and delivery of new projects.

        +

        • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

        -

        • Design, implement and maintain Google cloud infrastructure with IAC tools like Terraform.
        • Implement Google best practices to secure managed services for Data and Analytics workloads like GCS, BigQuery, Vertex AI notebooks, Cloud composer, Dataproc, etc.
        • Develop and maintain automation pipelines to securely build and deploy applications and GCP infrastructure.
        • Create monitoring dashboards and alerts to facilitate operational oversight of the entire platform.
        • Collaborate with various enterprise security and business applications team to define and implement cloud architecture and best practices on GCP.
        • Stay up to date on GCP best practices and recommend improvement to the existing platform to streamline development or address new security concerns.
        • Participate in on-call rotation for resolving critical incidents with the GCP infrastructure or deployed applications.

        +

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

        -


        Requirements & Qualifications:

        +

        • At some point, this role may have direct reports that will take on pure data/analytics functions in order for the Senior Manager to continue to add value and contribute on strategic initiatives and growth plans.

        -

        • DevOps engineer certification or terraform associate certificate preferred
        • Proficient in Terraform
        • Previous experience with GCP or other cloud platforms
        • Functional knowledge of Python and Java
        • Experience with DBT (Optional)
        • Team player with strong communication skills (verbal and written)
        • Able to see tasks through to completion without significant guidance
        • Self-managed and results-oriented with sense of ownership is required
        • A university degree in Mathematics, Science, Engineering, Management or relevant.

        -


        -

        Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/GCP-Cloud-Engineer-CID&A/571687017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-02T15:52:04.109Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/242607506-gcp-cloud-engineer-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/GCP-Cloud-Engineer-CID&A/571687017/,draft,2023-07-03T15:52:04.099Z,import-xml-feed:Scotiabank,,,,,,, -65ab1c33-30f3-4149-af28-e68472716ab3,242608270,Magna International,IT Systems Analyst,on_site,"Newmarket, ONTARIO, CA, L3X 2S2",2023-07-03T16:04:03.993Z,"
        -
        -

        Role Summary

        -
        -

        Afternoon Shift: 3:00 PM - 11:30 PM

        -

        Under the direction of the IT Manager, responsible for ensuring that MES related services and procedures are implemented, maintained, and properly executed.
        This role must have a good understanding of production processes, IT infrastructure as well as a close collaboration with other departments. Able to propose and develop applications, reporting dashboards to advance the business.

        -
        -
        -
        -

        Key Responsibilities

        -

        • Offer 1st Level support for all MES processes, PC, printer and other IT related issues.
        • Develop and maintain MES training materials, train and support users.
        • Troubleshoot MES-related issues alongside Controls, Production, Quality and any other departments.
        • System monitoring (business processes, interfaces and solutions).
        • Maintain and update the Know-how database.
        • Implement and support reporting dashboards as required thru Solidat reporting, PowerBI, or SQL reporting services.
        • Should be familiar with PowerApps, Power BI and Power Automate for application development.
        • Application and data integration from various sources like MS SQL, Azure etc.
        • Must be able to work in a fast-paced dynamic environment with constantly changing demands.
        • Other duties as assigned by a supervisor or Manager
        • Maintaining and operating service desk ticketing system.
        • Employ best practices using ITIL foundational requirements.

        -
        -
        -

        Key Qualifications/Requirements

        -

        • Minimum of a Post-Secondary Education in a Computer Science or Computer Programming/Analyst Program
        • Preferred 1-3 years’ experience in Information Systems with a strong manufacturing background, preferably in automotive parts industry.
        • Experience with MES standards and MES software preferred.
        • Good knowledge of relational Databases (SQL Server, TSQL) required
        • Good knowledge of Microsoft technologies (Microsoft Server, .NET, C#) required.
        • Strong communication and analytical skills, problem solving & interpersonal skills.
        • Ability and willingness to quickly learn on the job.
        • Works well alone and while managing groups.
        • Ability to work flexible hours when required.
        • Strong customer service orientation.
        • ITIL v2 certificate an asset
        • Able to demonstrate excellent oral and written communication skills
        • Ability to meet deadlines and multitask an asset

        -
        -
        -

        Additional Information

        -

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

        -
        -
        -

        Awareness. Unity. Empowerment.

        -
        -

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

        -

        -

        #LI-NM1

        -
        -
        -
        ",,https://jobs.magna.com/job/IT-Systems-Analyst/571760517/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-08-02T16:04:03.993Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/242608270-it-systems-analyst-at-magna-international,https://jobs.magna.com/job/IT-Systems-Analyst/571760517/,draft,2023-07-03T16:04:03.993Z,import-xml-feed:Scrapy-Scraper,,,,,,, -80fcb7d9-e5b6-4968-866d-96296c36c8dc,236957195,BMO Financial Group,"Senior Manager, Credit Portfolio Management",on_site,"Ontario, Canada",2023-06-17T01:42:02.795Z,"
        -

        Application Deadline:

        09/29/2023

        +

        +

        Education / Experience / Other Information

        +

        +

        • 5+ years of experience working with data, analytics, business development and enterprise sales analysis

        +

        • 2+ years of experience working with a sales team

        +

        • Skilled in reviewing data and developing recommendations (qualitative/quantitative data to drive desired behaviour)

        +

        • In-depth knowledge of business related computer software specifically Tableau, Excel, PowerPoint and Word (data import/export).

        +

        • Strong communicator and proven ability to work with executives on strategic initiatives and collaboratively across multiple teams.

        +

        • Post-secondary degree in Business

        +

        +

        +

        The following would be an asset but not required

        +

        +

        • Strong knowledge of the banking industry

        +

        • MBA/ Masters in Finance/CFA/CPA

        +

        +

        +

        +

        Working Conditions

        +

        +

        • Work in a standard office-based environment; non-standard hours are a common occurrence.

        +

        +

        Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/Senior-Manager%2C-Pricing%2C-Product-&-Business-Analytics/571554917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-10T15:57:04.542Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/239887326-senior-manager-pricing-product-business-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Senior-Manager%2C-Pricing%2C-Product-&-Business-Analytics/571554917/,draft,2023-06-26T15:52:02.437Z,import-xml-feed:Scotiabank,,,,,,, +3379c313-e47c-4bd3-9679-14d89fda13de,243217485,Clearpath,Account Executive,on_site,"Ontario, Canada",2023-07-05T02:18:09.094Z,"

        Description

        Position at Clearpath Robotics

        +

        Position: Account Executive
        Location:
        Waterloo, Ontario
        Experience: 3+ years\' experience
        Division:
        Clearpath Robotics Research Solutions

        +

        +

        About Clearpath Robotics

        +

        Clearpath Robotics is a global leader in unmanned vehicle robotics for research and development, and provides hardware, software, and services to enable self-driving vehicle development, deployment, and operation. Clearpath Robotics works with over 500 of the world’s most innovative brands in over 40 countries, serving markets that span mining, military, agriculture, aerospace, and academia. Visit Clearpath Robotics at www.clearpathrobotics.com.

        +

        About the Job

        +

        Clearpath Robotics’ Research Systems team is looking for a well organized, relationship-oriented Account Engineer with proven skills across all account functions: business development, direct technical sales, and account management.

        +

        As our newest Account Executive, your primary responsibilities will be:

        +
          +
        • Review client projects and applications, and assist in the scoping & configuration of application-appropriate robotic solutions for customers, independently and in collaboration with our team of Engineers
        • +
        • Gains customer acceptance by explaining or demonstrating product features and software
        • +
        • Submits orders by conferring with technical support staff and costing engineering changes.
        • +
        • Provide company, product, and technical overview presentations
        • +
        • Provide pre-sales quotes to customers in a timely manner
        • +
        • Check purchase orders for accuracy against the quote or standards before processing Provide technical assistance to the customers - answering technical queries and perform research when answers are not immediately available
        • +
        • Successfully promote and sell Clearpath as a full-service robotic solutions provider
        • +
        • Maintain and develop a high level of knowledge of new technology and the company’s solution offerings
        • +
        • Contributes to sales engineering effectiveness by identifying short-term and long-range issues that must be addressed,
        • +
        +

        About You

        +

        Our next Account Executive is a sharp, articulate and collaborative person, who is 100% comfortable spending their days talking to everyone from grad students to CEOs to rocket scientists. You dream of being part of a close-knit sales team that attacks new challenges with a bear hug and thrives equally on collaboration and friendly competition.

        +

        You have an innate drive to be successful, and you bring both the acumen and the grit to achieve your objectives.

        +

        Our ideal candidate is someone who is described by friends as:

        +
          +
        • Entrepreneurial and resourceful
        • +
        • A confident and articulate speaker with the ability to think on their feet
        • +
        • Excellent written communication skills
        • +
        • Able to understand and communicate technical concepts
        • +
        • Exceptional organization and attention to detail
        • +
        • Dynamic, dependable and diligent
        • +
        • Highly motivated and self-starting
        • +
        • Passion for helping customers solve complex problems with innovative technology
        • +
        +

        Required Skills and Experience:

        +
          +
        • 3 years’ experience of proven excellence in business development, inside sales and/or sales
        • +
        • Technical degree or equivalent experience
        • +
        • Ability to translate technology features into business benefits
        • +
        • Strong analytical and problem solving skills
        • +
        • Strong initiative and ability to work in a self-directed environment
        • +
        • Organization and priority setting skills and ability to multi-task in a dynamic environment
        • +
        +

        Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, gender identity and expression, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

        ",,http://jobs.jobvite.com/clearpath/job/oS3RkfwQ,feed-importer@jobboard.io,,,,2023-08-04T02:18:09.095Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217485-account-executive-at-clearpath,,draft,2023-07-05T02:18:09.094Z,import-xml-feed:Selenium-Scraper,,,,,,, +9e687bf1-e6d5-4971-8981-5dbe71ed46da,243217477,Clearpath,Test Technician,on_site,"Ontario, Canada",2023-07-05T02:18:07.996Z,"

        Description

        +

        Position: Test Technician
        Location: Kitchener, Ontario
        Job Type: Full-Time Permanent
        Experience: 0-3 Years
        Education:
        College Diploma, with 0-3 years\' work experience in ME/EE/SW or Testing
        Division: OTTO Motors

        +

        About OTTO Motors, a division of Clearpath Robotics

        +

        Our mission is to create safer, more productive and fulfilling workplaces with autonomous material handling technology.

        Most recently, OTTO Motors was recognized among the top 1% of Canada’s highest-performing global private companies by Communitech….. and Fast Company’s 2023 list of Most Innovative Companies in 2023.

        +

        Our loyal customers are also the most recognizable brands in the world and trust OTTO Motors to fulfill their mission-critical material handling needs: General Electric, Toyota, Hershey, Caterpillar, Berry Global, and more. For more information about us, visit www.ottomotors.com. OTTO delivers intelligence, productivity, scalability, results and most importantly, the future.

        +

        About the Job

        +

        We believe in providing our clients with specific solutions to their problems. This might mean prototyping new hardware platforms, developing custom software applications, or processing 3D point clouds. Our projects range from one-off development of multi-ton unmanned ground vehicles to mass production of custom built environmental monitoring equipment.

        +

        We\'re looking for a Test Technician to take our testing and validation to the next level and help us to get our software doing what it\'s been built to do. You will take charge of managing and maintaining a fleet of robots. Responsibilities would include updating software, investigating anomalies, and working closely with multiple teams to bring issues to conclusion. Additional responsibilities would be test plan development and execution for various products and custom projects, to ensure that our hardware and software is co-existing harmoniously. This will range from designing test campaigns to identify and eliminate issues early on, through to tail end validation focused on detailed product verification. Your goal is to increase efficiencies and reliability with regards to product testing and validation. You will work closely with the rest of the Clearpath development team to make sure that we are delivering properly engineered solutions.

        +

        Your primary responsibilities will be:

        +
          +
        • Managing and maintaining a functioning fleet of robots
        • +
        • Capturing issues and artifacts, establishing strong feedback loop back into development
        • +
        • Designing test campaigns
        • +
        • Executing test for full system, component, simulation, and performance
        • +
        • Documenting test results
        • +
        +

        Additional responsibilities may include:

        +
          +
        • Developing simulations, maintaining and extending testing standards and best practices
        • +
        • Testing and validating product components used in projects
        • +
        • Determining or helping to drive test requirements for new products, components, or projects as required
        • +
        • Alerting the team and stopping the robots from starting their own revolution
        • +
        +

        About You

        +

        You want to work for a fast-paced growing company that thinks big and dreams huge. You are motivated, view work as more than just a job, and are never satisfied with less than 100% effort. You want to be surrounded by people like you; creative, fun-loving, and passionate about their work. You are motivated by making an impact on your workplace and you thrive on challenging and rewarding problems.

        +

        Your programming background is strong and you’re able to diagnose issues faster than the speed of light. You like the thought of working on projects that interact with the world, even more so when they can do so on their own. You\'re looking for a job where you get to interact with a diverse team and learn something new every day. We can\'t promise it\'ll be interesting or relevant, but it\'ll be new!

        +

        Required Experience/Skills:

        +
          +
        • College Diploma in a relevant technical field
        • +
        • 0-3 years’ working in mechanical, electrical, software design or testing environments (or Post Graduates with similar exposure)
        • +
        • Experience with testing validation of complex integrated systems and/or software
        • +
        • Strong verbal and written communications
        • +
        • Strong analytical, trouble shooting and problem-solving skills
        • +
        • Ability to work well independently, as well as in a team environment
        • +
        +

        Bonus Experience/skills:

        +
          +
        • Combination of experience designing, implementing, maintaining or executing technical acceptance plans
        • +
        • Experience with Linux / Unix operating systems
        • +
        • Python or similar Object Oriented programming experience (C++, Java, Javascript, Ruby, etc.)
        • +
        • Experience with Unix scripting languages (e.g. bash, shell, awk etc.)
        • +
        • Git or similar version control experience (BitBucket, Github, etc.)
        • +
        • Understanding of continuous integration concepts and tools (e.g. Jenkins, BuildBot, etc.), and best practices
        • +
        • Familiarity with defect tracking systems such as JIRA
        • +
        • Experience with analysis with tools like iPython Notebook, Matlab or others
        • +
        • Hands on experience with software/hardware mixed products, which may utilize motor controls, machine controls, and various sensory components in combination with software
        • +
        +

        At Clearpath, we are committed to building and supporting a culture of diversity, inclusion, and accessibility. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, veteran status, sex, sexual orientation, gender identity, and expression. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

        ",,http://jobs.jobvite.com/clearpath/job/oZatnfwJ,feed-importer@jobboard.io,,,,2023-08-04T02:18:07.996Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217477-test-technician-at-clearpath,,draft,2023-07-05T02:18:07.996Z,import-xml-feed:Selenium-Scraper,,,,,,, +ef1c5aaa-e1d8-4104-a9e0-3ae9a59b08d3,243216379,Loblaw Companies Ltd,"Analyst, Vendor Operations",on_site,"Ontario, Canada",2023-07-05T01:44:01.758Z,"
        +

        Referred applicants should not apply directly to this role.

        +

        All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

        -

        Address:

        100 King Street West

        +

        +

        Location:

        500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

        +

        When you hire great people, great things can happen.

        +

        PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

        +

        +

        Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

        +

        +

        Who We Are:

        +

        In the Customer Support Centre of Excellence (CoE), we strive to provide PC Financial, PC Optimum, Loblaw Digital, Loblaw Retail, and SDM Retail customers an effortless experience in the moments that matter. We use technology, automation, and delivery optimization to improve customer and colleague experiences. We collaborate with technology and products teams to create synergy and deliver value. We are nimble, agile and collaborative solving complex problems at pace. We run as one team, value diversity and dig deep to always know more.

        +

        +

        Why This Role is Important:

        +

        The Analyst, Vendor Operations, will be responsible for providing day to day Vendor operational support, control execution along with oversight of outlier activity, vendor processing reconciliations and risk management reporting of key Vendors. This will include monitoring audit reports, handling and keeping control evidence, creating robust reporting of monitored activity and managing vendor inventories. This role will also be key in building and maintaining strategic partnerships with internal and external partners.

        +

        +

        We are looking for a candidate that is a self-starter, highly energized, and has excellent communication and presentation skills. The right candidate will bring a strong mix of experience with financial planning and reporting within operations, and a ‘roll-up-your-sleeves’ approach.

        +

        +

        +What You’ll Do:

        +
          +
        • Validation of accuracy of inventory reports
        • +
        • Inventory management for all collateral housed at vendor locations including managing volume to within tolerable levels
        • +
        • Identify and investigate any potential risks or variances to the overall inventories, find root cause of risks, implement risk mitigation tactics, and develop contingency plans
        • +
        • Manage inventory re-order & destruction
        • +
        • Lead in internal partner meetings with respect to inventory/collateral management, usage, reorder points and draft minutes for distribution
        • +
        • Provide insights and robust reporting to management team highlighting issues/trends and call out any high-risk operating deficiencies associated to inventory reconciliations
        • +
        • Responsible for implementing internal operational controls monthly and maintaining control evidence
        • +
        • Daily oversight and execution of Statement Validation
        • +
        • Onsite Vendor validation (Cards & Statements) as required
        • +
        • Create and maintain accurate inventory of control functions and processes, ensuring accuracy
        • +
        • Identify & champion process improvement opportunities & enhancements to improve overall efficiency while minimizing financial impacts (increases to cost savings) with all partners
        • +
        • Develop and maintain accurate up to date process documentation
        • +
        • Support Vendor in adhoc day to day inquires or issue resolution
        • +
        • Make time sensitive decisions, requiring sound and independent judgment
        • +
        • Maintain current operational documentation such as process documentation, monthly production forecasts, controls, statement of procedures, etc.
        • +
        • Carrying out the audit work in an optimal fashion in compliance with timeline requirements outlined in the planning phase
        • +
        • Documenting clear and concise results
        • +
        • Provide robust reporting/data analytics and trending analysis on outlier activity
        • +
        • Maintain an understanding of operational processes and procedures and continuously recommend process efficiencies and improved customer experience
        • +
        • Provide support & assistance in resolving complex or intensified inquiries, taking full ownership and handling to final resolution
        • +
        +

        +

        +

        +

        What You\'ll Need:

        +
          +
        • 3+ years operational vendor operational experience or relevant experience in financial sector (Credit and Debit/Banking)
        • +
        • Strong attention to detail, self-motivated, and adaptable to change in a dynamic environment
        • +
        • Experienced nalytical skills to identify gaps and deficiencies and develop solutions
        • +
        • Excellent verbal, written, and reporting skills
        • +
        • Strong communication and interpersonal skills with the ability to foster and develop relationships both internally and externally
        • +
        • Experience managing multiple internal and external relationships
        • +
        • Proficient with Microsoft Office (Word, Excel, Access, PowerPoint)
        • +
        • Highly organized, with an appreciation of meeting reporting commitments
        • +
        • A good team player who is also able to work independently in a fast-paced environment
        • +
        • Post-Secondary Education
        • +
        • Excellent time management and organizational skills
        • +
        +

        +

        +

        Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

        +

        +

        +

        Number of Openings:

        1

        +

        PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

        +

        +

        In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

        +

        +

        +

        Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

        +
        ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Analyst--Vendor-Operations_R2000353662?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-07-18T01:49:03.654Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243216379-analyst-vendor-operations-at-loblaw-companies-ltd,,draft,2023-07-05T01:44:01.758Z,import-xml-feed:Loblaws-Job-Feed,,,,,,, +b7e1e142-f856-412b-ab0e-76e606841787,243216281,BMO Financial Group,"Senior Manager, Risk Reporting & Initiatives",on_site,"Ontario, Canada",2023-07-05T01:42:02.203Z,"
        +

        Application Deadline:

        07/19/2023

        +

        +

        Address:

        33 Dundas Street West

        Job Family Group:

        Data Analytics & Reporting

        +

        If you’re looking for your next dream job, consider this one in BMO’s ERPM Risk group where every colleague helps protect and grow the bank by providing independent review and oversight of enterprise-wide risks, working together to maintain a risk management framework and fostering a strong risk culture. #ERPMDreamJobs

        -

        This role undertakes credit portfolio management, applying a strategic risk perspective to investigating, identifying and assessing areas of credit risk/exposure. Candidate will work with risk reporting and portfolio management reports and other tools and methodologies to measure, monitor and assess risk and risk capital utilization and recommend actions to address single name and portfolio level risk concentration, profitability assessment, risk capital allocation and portfolio risk/return, specifically focused on US portfolio management and US legal entities.

        -

        .

        -

        Portfolio Management, Credit Risk Analysis:

        +

        Supports the execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies. Supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance and minimizes risk. Supports information requests from senior internal and external stakeholders, and transformational projects designed to improve the overall effectiveness of the Risk Reporting function.

        +

        +

        Leadership

          -
        • Undertake analysis of exposures and segments to identify, quantify and assess risk within the credit portfolios across the Enterprise to ensure the level of credit and counterparty risk the Bank is exposed to is appropriate, within the Bank’s risk limits, and is not displaying material adverse trends
        • -
        • Utilize reports and queries to analyze data, conduct scenario analysis, assess new product and credit strategies, assess and quantify risk and risk concentrations, portfolio loss and profitability trends
        • -
        • Leverage credit risk management and analysis experience to provide thought leadership to team members to drive insights on the enterprise credit risk portfolio and develop recommendations for risk management strategies to optimize the risk return profile of credit risk portfolios
        • -
        • Effectively synthesize results to ensure CRO, Senior Risk executives and other risk colleagues understand outcomes of analysis
        • -
        • Partner closely with the Risk Reporting group to leverage data sources for analysis and ensure appropriate cuts of data are created as needed
        • -
        • Work with other members of ERPM to manage and monitor risk and ensure risk is accurately measured and assigned appropriate risk capital.
        • -
        • Monitor the external environment/economic trends to identify potential risks and impact to Enterprise credit portfolios.
        • -
        • Represent ERPM and provide credit risk oversight and perspective in committees and projects
        • +
        • Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.

        • +
        • Ensures alignment between values and behaviour that fosters diversity and inclusion.

        • +
        • Regularly connects work to BMO\'s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.

        • +
        • Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders.

        -

        Qualifications/Knowledge/Skills:

        +

        Advisory

          -
        • Graduate degree in business, finance, economics degree
        • -
        • At least 5 years of relevant credit risk management experience with a major financial institution.
        • -
        • CFA and/or FRM desired.
        • -
        • Working knowledge of financial modeling and portfolio management strategies – risk based pricing, aggregation, securitization, hedging, optimization
        • -
        • Expert analytical capabilities, with working knowledge of credit risk models
        • -
        • Highly developed personal effectiveness skills, which include the ability to influence and negotiate, adapt to varying conditions, apply creativity and seize personal development opportunities
        • -
        • Strong written and verbal communication skills
        • -
        • Strong credit skills, experienced in lending and credit qualified
        • +
        • Provides strategic input into business decisions as a trusted advisor.

        • +
        • Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group.

        • +
        • Acts as a subject matter expert on relevant regulations and policies.

        • +
        • May network with industry contacts to gain competitive insights and best practices.

        • +
        • Interprets new regulations and assesses impacts to the risk reporting strategy/program framework.

        • +
        • Influences and negotiates to achieve business objectives.

        • +
        • Identifies emerging issues and trends to inform decision-making.

        • +
        • Recommends business priorities, advises on resource requirements and develops roadmap for strategic execution.

        • +
        • Provides advice and guidance to assigned business/group on implementation of analytical and reporting solutions.

        -

        -

        -

        We’re here to help

        -

        -

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

        -

        -

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

        -

        -

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

        -

        -

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

        -

        -

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

        -
        ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Manager--Credit-Portfolio-Management_R230010002?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-07-17T01:42:02.803Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/236957195-senior-manager-credit-portfolio-management-at-bmo-financial-group,,draft,2023-06-17T01:42:02.795Z,import-xml-feed:BMO-Job-Feed,,,,,,, -8185d6b6-0a00-4526-adfd-362af94e4bfc,236957194,BMO Financial Group,"Report Analyst, VBA and Data Visualization software- HYBRID",on_site,"Ontario, Canada",2023-06-17T01:42:02.749Z,"
        -

        Application Deadline:

        06/29/2023

        -

        Address:

        250 Yonge Street

        -

        -

        Job Family Group:

        Data Analytics & Reporting

        -

        -

        This is a critical role n supporting our business partners with reporting, analytical and production activity support. This role supports our primary partners within TORIC (Technology and Operations Risk and Internal Controls) division as well as Technology and Operations (T&O) and BMO Nesbitt Burns branch network. It also provides critical support with Power BI reporting, Authority Process Support, GEMS BAU as well as the opportunity to lead on training reporting and other initiatives. You will be supporting the development of BMO\'s CO-OP students and BMO Interns and provides the candidate the opportunity to gain leadership skills, strong organizational skills and building of partner relationships.

        +

        Program / Initiatives Management

        +
          +
        • Leads the execution of strategic initiatives to deliver on business and financial goals.

        • +
        • Measures the effectiveness of risk reporting program/strategy; recommends changes as required.

        • +
        • Conducts independent analysis and assessment to resolve strategic issues.

        • +
        • Acts as the prime subject matter expert for internal/external stakeholders.

        • +
        • May represent the risk reporting function during internal/external regulatory audits and/or examinations.

        • +
        • Ensures alignment between stakeholders.

        • +
        • Develops and manages comprehensive information management systems; designs and/or leads initiatives to improve processes, analysis and reporting.

        • +
        • Leads change management programs of varying scope and type, including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.

        • +
        • Leads the execution of operational programs; assesses and adapts as needed to ensure quality of execution.

        • +
        • May provide specialized support for other internal and external regulatory requirements.

        • +

        -

        Key Priorities/duties:

        +

        Reporting

          -
        • Governance, Risk and Compliance Dashboard support using Power BI

        • -
        • Support of various Authorization Lists for T&O & BMO Nesbitt Burns branch network using Power Apps, PDF Forms and SharePoint or other like programs

        • +
        • Gathers and formats data into regular and ad-hoc reports, and dashboards.

        • +
        • Designs and produces regular and ad-hoc reports, and dashboards.

        • +
        • Leads/participates in the design, implementation and management of core business/group processes.

        • +
        • Designs, develops, and implements reporting solutions to meet management and regulatory reporting requirements.

        • +
        • Analyses data and information to provide risk-related insights and recommendations.

        • +
        • Supports the interpretation of internal and external policies and regulatory requirements relevant to the analytics and reporting mandate e.g. regulatory reporting.

        • +
        • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.

        -

        -

        This is a HYBRID role based in the Greater Toronto area.

        -

        -

        -

        Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

        +

        +

        Governance/Controls/Procedures

          -
        • Builds effective relationships with internal/external stakeholders.
        • -
        • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
        • -
        • Designs, develops, and implements innovative analytical solutions.
        • -
        • Designs and produces regular and ad-hoc reports, and dashboards.
        • -
        • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
        • -
        • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
        • -
        • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
        • -
        • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
        • -
        • Designs, develops, and implements innovative analytical solutions.
        • -
        • Designs and produces regular and ad-hoc reports, and dashboards.
        • -
        • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
        • -
        • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
        • -
        • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
        • -
        • Analyzes data and information to provide subject-matter insights and recommendations.
        • -
        • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
        • -
        • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
        • -
        • Builds effective relationships with internal/external stakeholders.
        • -
        • Collaborates with internal and external stakeholders in order to deliver on business objectives.
        • -
        • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
        • -
        • Exercises judgment to identify, diagnose, and solve problems within given rules.
        • -
        • Works independently on a range of complex tasks, which may include unique situations.
        • -
        • Broader work or accountabilities may be assigned as needed.
        • +
        • Ensures strong governance and effective controls across risk reporting activities and information in accordance with enterprise standards.

        • +
        • Analyzes data and highlights significant information including variances, trends, opportunities and exposures; escalates as required.

        • +
        • Provides information and supports the process for internal and external audits.

        • +
        • Supports the maintenance of operational procedures and processes related to analytical and reporting processes.

        • +
        • Supports the development of tools and delivery of training focused on awareness and understanding of key data elements used in risk reporting.

        • +
        • Participates in the design, implementation and management of core business processes to ensure the accuracy of risk data used in reporting.

        • +
        • Organizes work information to ensure accuracy and completeness.

        -

        SKILLS and Qualifications:

        +

        Issue Management / Stakeholder Communication

          -
        • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
        • -
        • MUST HAVE VBA (At least 3 years desired)
        • -
        • MUST HAVE experience with Power BI, Spotfire, or Tableau ( At least 1-2 years desired)
        • -
        • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Very good.
        • -
        • Technical proficiency gained through education and/or business experience.
        • -
        • Verbal & written communication skills - In-depth.
        • -
        • Collaboration & team skills - In-depth.
        • -
        • Analytical and problem solving skills - In-depth.
        • -
        • Influence skills - In-depth.
        • -
        • Data driven decision making - In-depth.
        • +
        • Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.

        • +
        • Implements changes in response to shifting trends.

        • +
        • Broader work or accountabilities may be assigned as needed.

        • +
        • Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.

        • +
        • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.

        • +
        • Builds effective relationships with internal/external stakeholders.

        • +
        +

        +

        Qualifications

        +
          +
        • Typically 7+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

        • +
        • MBA and/or consulting experience considered a strong asset.

        • +
        • Project management experience considered an asset.

        • +
        • Strong knowledge of risk management metrics, KPIs and KRIs.

        • +
        • Knowledge of industry trends and regulatory requirements for risk reporting.

        • +
        • Product knowledge for the designated business/portfolio an asset.

        • +
        • Strong knowledge of reporting & analytics concepts and applications.

        • +
        • Knowledge of risk systems technology as asset.

        • +
        • Seasoned professional with a combination of education, experience and industry knowledge.

        • +
        • Verbal & written communication skills - In-depth / Expert.

        • +
        • Analytical and problem solving skills - In-depth / Expert.

        • +
        • Influence skills - In-depth / Expert.

        • +
        • Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.

        • +
        • Able to manage ambiguity.

        • +
        • Data driven decision making - In-depth / Expert.

        • +
        • Software proficiencies: SAS, SQL, MS Office, SharePoint.

        @@ -4335,1431 +7255,5604 @@ eeb93bdc-63db-482b-a075-282e001b157c,237206047,Magna International,"Senior Categ

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

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

        -
        ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Report-Analyst--VBA-and-Data-Visualization-software--HYBRID_R230006641?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-07-17T01:42:02.759Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/236957194-report-analyst-vba-and-data-visualization-software-hybrid-at-bmo-financial-group,,draft,2023-06-17T01:42:02.749Z,import-xml-feed:BMO-Job-Feed,,,,,,, -083a064e-98b3-4993-a9f0-03bbb796d408,236957197,BMO Financial Group,"Manager Analytics, Business Intelligence - Wealth",on_site,"Ontario, Canada",2023-06-17T01:42:02.900Z,"
        -

        Application Deadline:

        06/13/2023

        +
        ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Manager--Risk-Reporting---Initiatives_R230011059?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-08-04T01:42:02.213Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243216281-senior-manager-risk-reporting-initiatives-at-bmo-financial-group,,draft,2023-07-05T01:42:02.203Z,import-xml-feed:BMO-Job-Feed,,,,,,, +0a5dc02e-7262-4b4a-89bf-2f52b959f79e,237677739,Sun Life Financial,Senior Data Engineer,on_site,"Ontario, Canada",2023-06-20T02:15:02.569Z,"
        +

        You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

        -

        Address:

        100 King Street West

        -

        -

        Job Family Group:

        Data Analytics & Reporting

        -

        -

        -

        -

        We are looking for a talented individual to join our team in the position of Manager Analytics, Business Intelligence. The primary responsibility is to manage data analytics and deliver recommendations that drive data driven insights for the GAM (Global Asset Management) Business.

        -

        The role will sit on the Wealth Data Analytics and Strategy team and support the Global Asset Management Retail Sales and Distribution team with proactive, actionable insights across all Mutual Fund products. The successful candidate will be able to go beyond analytics/reporting to provide actionable insights to senior leadership.

        +

        Job Description:

        -

        Key Accountabilities:

        +

        At Sun Life, we work together, share common values and encourage growth and achievement. We offer many career paths that attract a wide variety of talent and skills. Follow a path that lets your talents shine.

        +

        +

        Role Summary:

        +

        +

        The Client Experience Office (CXO) is an important pillar of Sun Life’s corporate strategy and as such, is seeking experienced data engineering individuals with a proven track record working with data consumers to extract meaningful insights from enterprise data. Senior Business data engineers play an indispensable role in assembling the necessary data products that fuel myriad of analytical models used by our various business units across Canada.

        +

        +

        Reporting to the Manager of Data Engineering, the Senior Business Data Engineer will be a key member of Data Enablement Team responsible for building enriched data products that provide deep insights about our Client, Advisor, Product, Transactions along with their intricate relationships. The Senior Business Data Engineer will work with data analysts and data scientists to help answer complex business enquires such as identifying new business opportunities, understanding our client behavior and optimizing areas of our sales cycles.

        +

        +

        What will you do?

          -
        • Take the lead supporting GAM business. Think strategically and work independently with minimal supervision
        • -
        • Work with internal clients and diverse stakeholders to understand, track and improve their business objectives, scope and KPIs
        • -
        • Produce dashboards, reports, analysis, insights that drive decisions and help us build better products and experiences
        • -
        • Manage and enhance daily/weekly/monthly channel reporting to provide results and context to deliver actionable insights to senior management, not just reporting data
        • -
        • Improve and automate process using a variety of tools to drive operational efficiency
        • -
        • Manage, prioritize, and respond to ad-hoc requests
        • -
        • Uncover and identify opportunities to improve the customer experience by leveraging statistical approaches against multiple sources of data including internal sales/transactions and external party data/benchmarks
        • -
        • Assist the retail bank branch channel in campaign performance measurement and increasing productivity of all strategic initiatives
        • -
        • Research, design and implement reporting infrastructure that leads to automated and flexible reporting
        • +
        • Obsessed with understanding our enterprise data and interpreting it in the best way possible to derive business value

        • +
        • Design and engineer data models that represent our key business entities such as our Advisor, Client & Product

        • +
        • Ensure high level of data quality and data integrity are maintained across data sources for business

        • +
        • Convert complex business and technical rules into logic for data flows and data pipelines

        • +
        • Work with our Data Science teams to implement data products for various use cases

        • +
        • Collaborate with stakeholders and incorporate into solution design for various use case requirements

        • +
        • Standardize metadata into a common glossary along with the necessary documentation for data consumers

        -

        Qualifications:

        +

        What do you need to succeed?

          -
        • 5-7 years of work experience in Business, Financial industry
        • -
        • 3+ Proven experience working with SQL language and large datasets
        • -
        • Demonstrated proficiency in working with large datasets, both structured and unstructured data, using programming language such as SAS, SQL or related
        • -
        • Good verbal and written communication skills; able to effectively present analytics data to business users
        • -
        • Good knowledge of Asset Management and understanding of current market trends. Experience in Mutual Funds, ETF and Institutional distribution process
        • -
        • Post-Secondary education in Math, Computer Science, Statistics, Actuarial Science, Business
        • -
        • One or More Master\'s Degree in Data Analytics, MBA, CFA, CPA preferred but not required
        • -
        • Self-Starter - Strong relationship-building skills. Ability to thrive on a high-degree of independence and ownership
        • -
        • Proficient in visualization tools such as Tableau or Power BI
        • -
        • Experience in running campaigns through design, execution, and performance tracking
        • -
        • A strong passion for data, charts, analysis, trends, and evangelizing data usage
        • +
        • 3-5 years hands-on experience working on AWS technologies for data processing and analytics

        • +
        • 2+ years experience with AWS Glue for ETL

        • +
        • 3 years experience in Pyspark and SQL

        • +
        • 5 years hands-on experience with relational database systems, relational models, dimensional models etc.

        • +
        • 3-5 years experience with engineering data products as input to various analytical models

        • +
        • 3-5 years building feedback loops between model deployment and its data – i.e. tune & tweak data products to achieve scale, optimization, etc.

        • +
        • Sound understanding of data management principles (data warehousing, data quality, master data management, etc.)

        • +
        • Sound understanding of data modelling and a passion for analytics

        • +
        • Proven track record in leveraging SQL and SQL-based programming to solve business problems

        • +
        • Ability to translate complex business requirements into a set of data ingestion pseudocode

        • +
        • Proven ability to leverage knowledge of data engineering to extract, conform and integrate a variety of operational data sources into production-grade data products

        • +
        • Demonstrate blend of tenacity, creativity, and discipline required to develop ground breaking self-serve data models that data scientists can consume

        • +
        • Excellent verbal and written communication skills; have executive presence and proven ability to partner with Data Scientists to articulate insights gleaned from the model and the underlying data

        -

        -

        -

        -

        We’re here to help

        -

        -

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

        -

        -

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

        -

        -

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

        -

        -

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

        -

        -

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

        -
        ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager-Analytics--Business-Intelligence---Wealth_R230007335?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-07-17T01:42:02.908Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/236957197-manager-analytics-business-intelligence-wealth-at-bmo-financial-group,,draft,2023-06-17T01:42:02.900Z,import-xml-feed:BMO-Job-Feed,,,,,,, -ebe2ac0b-a18e-4338-abe1-d8a5b774340c,236957757,Borealis AI,Machine Learning Researcher,on_site,"Ontario, Canada",2023-06-17T01:58:02.275Z,"
        -
        -

        What\'s the opportunity?

        -

        As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

        -

        Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

        -
        -
        -

        Your responsibilities include:

        -
          -
        • Developing novel AI solutions that facilitate impactful products;
        • -
        • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
        • -
        • Working with the development team to transfer research work into production;
        • -
        • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
        • -
        • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
        • -
        -
        -
        -

        You’re our ideal candidate if you have:

        -
          -
        • A passion for solving open problems using data and algorithms;
        • -
        • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
        • -
        • Ability to formulate and drive a research project independently without close supervision;
        • -
        • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
        • -
        -
        -
        -

        What’s in it for you?

        -
        +

        Education and Qualifications:

          -
        • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
        • -
        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
        • -
        • Leaders who support your development through coaching and managing opportunities;
        • -
        • Ability to make a difference and lasting impact from a local-to-global scale.
        • +
        • Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent

        • +
        • Graduate degree in business or quantitative science strongly preferred

        -

        About Borealis AI

        -
        -
        -

        Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

        -

        Inclusion and Equal Opportunity Employment

        -

        RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

        -
        ",,https://www.borealisai.com/careers/?gh_jid=6645277002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-07-17T01:58:02.283Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/236957757-machine-learning-researcher-at-borealis-ai,,draft,2023-06-17T01:58:02.275Z,import-xml-feed:Borealis-AI-Job-Feed,,,,,,, -3abee692-ff12-4bbc-88a5-d5462eba2dae,236957758,Borealis AI,Research Director,on_site,"Ontario, Canada",2023-06-17T01:58:02.323Z,"
        -

        What’s the opportunity?

        -

        Borealis AI is looking for a Research Director. The role includes directing a team of machine learning researchers and managing other research team leads with the goal of delivering AI-based products for the financial services industry. In addition, you will provide leadership and deliver on initiatives that improve the effectiveness of the entire research organization.

        -

        Your responsibilities include:

        +

        +

        Unique Requirements

          -
        • To join the Borealis AI research leadership team and shape the research organization as a whole and contribute to its overall performance.
        • -
        • To work with the Borealis AI business development team to identify viable artificial intelligence products that will add significant value to RBC stakeholders.
        • -
        • To lead a team of machine learning researchers delivering cutting edge AI technology to support these products.
        • -
        • To partner with Borealis AI’s product and engineering teams to ensure the seamless delivery of these products.
        • -
        • To manage other research team leads and provide guidance and support.
        • -
        • To help recruit, mentor and retain a high-performing research team across Borealis AI.
        • +
        • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

        • +
        • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

        -

        You’re our ideal candidate if you have:

        +

        +

        What would be nice to have?

          -
        • A Ph.D. degree in Computer Science or a related technical field;
        • -
        • 10 years of experience leading research teams in machine learning in a product-centric environment or equivalent experience;
        • -
        • A track record of successful people management including mentoring junior researchers and engineers, experienced high-performance researchers, and research managers;
        • -
        • Experience delivering successful high-impact machine learning products
        • -
        • Involvement across the research and development lifecycle, from prototyping to production, engaging with stakeholders to develop solutions that meet business needs;
        • -
        • Broad research interests and detailed knowledge of cutting edge machine learning techniques across multiple areas;
        • -
        • The ability to formulate and drive multiple research projects independently;
        • -
        • Exceptional communication and leadership skills;
        • -
        • A history of high quality academic publications (e.g., NeurIPS, CVPR, AISTATS, ICLR, ICML etc.) and community recognition for excellence;
        • +
        • Understand and Embrace Agile Operating Model

        • +
        • Proven Experienced working as Product Owner in Scrum or Service Request Manager in Kanban projects

        • +
        • Experience working in a large financial services organization

        • +
        • Knowledge of fundamental statistical models & techniques

        -

        What\'s in it for you?

        +

        +

        What\'s In It For You?

          -
        • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
        • -
        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
        • -
        • Ability to make a difference and lasting impact from a local-to-global scale
        • +
        • Great Place to Work® Certified in Canada and the US - 2022

        • +
        • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

        • +
        • Named “Best Places to Work” by Glassdoor - 2021

        • +
        • Canada Award for Excellence for Mental Health at Work - 2021

        • +
        • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid, #LI-Remote

        • +
        • Competitive salary and bonus structure influenced by market range data

        • +
        • Pension, stock and savings programs to help build and enhance your future financial security

        • +
        • A friendly, collaborative, and inclusive culture

        • +
        • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

        • +
        • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

        -

        About Borealis AI

        -

        Borealis AI, a RBC Institute for Research, is a research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

        -

        Inclusion and Equal Opportunity Employment

        -

        RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

        -

        -
        ",,https://www.borealisai.com/careers/?gh_jid=6466710002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-07-17T01:58:02.335Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/236957758-research-director-at-borealis-ai,,draft,2023-06-17T01:58:02.323Z,import-xml-feed:Borealis-AI-Job-Feed,,,,,,, -ac138201-495e-4c83-b046-b1d07dda5edf,236957478,RBC,Real Property Tax Officer,on_site,"Toronto, ON, Canada",2023-06-17T01:51:01.994Z,"
        +

        +

        +

        The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

        +

        +

        Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

        +

        +

        Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

        +

        +

        At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

        +

        +

        We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

        +

        +

        Salary Range:

        74,100/74 100 - 120,800/120 800

        +

        Job Category:

        Advanced Analytics

        +

        Posting End Date:

        09/07/2023
        ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Engineer_JR00080511?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-07-11T02:20:02.305Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/237677739-senior-data-engineer-at-sun-life-financial,,draft,2023-06-20T02:15:02.569Z,import-xml-feed:Sunlife-Job-Feed,,,,,,, +cea92a47-acca-4d78-8dd7-c221e9abc1aa,243216688,RBC,Senior BI Analyst,on_site,"Toronto, ON, Canada",2023-07-05T01:51:03.616Z,"

        Come Work with Us!

        At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

        Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

        -

        Job Title

        Real Property Tax Officer

        +

        Job Title

        Senior BI Analyst

        Job Description

        -

        THIS ROLE IS ON CONTRACT FOR 6 MONTHS

        -

        What is the opportunity?

        -

        To provide administrative support with Real Property Tax.

        +

        The Senior BI Analyst will be working within Investor Services (IS) and closely collaborating with the teams principally focused on the initiatives relating to migration of legacy reporting. We’re at the center of everything Data and Digital. We’re building a team that embraces innovation & enthusiasm to bring fresh perspectives. We’ve been on a journey to build out high performing, highly resilient data and BI solutions that’s scalable with the continuous demands from Internal and External stakeholders.

        -

        What will you do?

        +

        We’re looking for talented and passionate Business Intelligence (BI) & Analytics professionals to join our team! With an analytical mind-set, you will work as part of an agile team to deliver highly scalable solutions built on various technologies. We believe in continuous growth and expanding your capabilities. Join our team today and have a big impact influencing the strength of our Data and Digital capabilities.

        +

        +

        What will you do?

          -
        • Respond to queries by accessing RIBS as well as hard copy files
        • -
        • Scan and email conveyances and research whether mortgages are paid off and satisfied
        • -
        • Update assessment numbers and comments in RIBS for client mortgages debited
        • -
        • File hard copies of tax certificates upon which debits to mortgages are based as well as receipts
        • -
        • Research tax certificates, proof of payment or dispute, conveyances and RIBS to confirm client mortgage can be debited
        • -
        • Research and provide relevant tax certificates, receipts, amounts debited and other documentation to enable a response to queries
        • -
        • Recalculate mortgage maturity dates based on Excel lists provided by the Project Manager using job aid and based on training
        • -
        • Create and email client letters advising of debits to mortgages using MSWord mail merge functionality defined in job aid and based on training
        • -
        • Data entry of new sets of RBC and FINCO tax certificates as they are received from the DIR
        • -
        • Monitor the generic mailbox
        • -
        • Upload all relevant documentation to SharePoint
        • -
        • Attend and participate in training on SharePoint, Excel, MSWord and project processes
        • -
        • Update Excel master sheets with the results of research in RIBS, where additional information is required
        • +
        • Elicit, analyze, and document business requirements, business rules and user stories and work with business teams, Product teams, other internal stakeholders and in-house development teams throughout solution building and delivery.
        • +
        • A key member of the project team, the Senior Analyst works with Client Digital delivery leads and Developers, Data Domain experts to ensure that the project is delivered on time and within budget. Provide support to Client Service managers on administrative functions and maintenance requests from clients and relationship managers
        • +
        • Pro-actively communicate and collaborate with internal stakeholders to analyze functional requirements and deliver the appropriate artefacts as needed: business requirement documents, functional specifications, data specifications, data catalogues, use cases, workflow analysis, reports, etc.
        • +
        • Act as the first line of contact to interface with internal stakeholders – Operations team, Client Success team, Data Engineering team and others.
        • +
        • Review data to ensure its integrity for data analysis to deliver business insights and validation of hypothesis
        • +
        • Build compelling and Power BI reports/dashboards and translate findings into executive communications
        • +
        • Demonstrable ability to analyze data/trends, interpret results, build KPIs, explain KPI drivers and communicate in simple terms

        What do you need to succeed?

        +

        Must-have

          -
        • Minimum of 5 BGCSE passes (Grades 1 or 2) inclusive of Mathematics and English
        • -
        • Proven customer service skills, preferably in the financial or service industry
        • -
        • Drive and self-motivation, as well as excellent communication skills
        • -
        • Eagerness to learn and determination to succeed
        • +
        • 2-4 years of experience in business intelligence and analytics field with strong understanding of technical aspects while working with the business on value driven analysis
        • +
        • Strong business communication and stakeholder management skills
        • +
        • Advanced problem-solving skills
        • +
        • In-depth knowledge of database systems such as relational databases, OLAP, Kimble methodologies,
        • +
        • Strong understanding of ETL processes and data modelling processes
        • +
        • Hands-on experience of visualization software such as Power BI
        • +
        +

        +

        Nice to have

        +
          +
        • Strong knowledge of fundamental data concepts (for example, but not limited to groups, hierarchies, data structures).
        • +
        • Knowledge of Microsoft Power Platform

        What’s in it for you?

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

          -
        • Leaders who support your development through training and coaching, and invest in your continued learning and commitment to building long term careers
        • -
        • Ability to make a difference and lasting impact
        • -
        • Work with a dynamic, collaborative, progressive, and high-performing team
        • +
        • Excellent exposure to communicate with various business partners and stakeholders in Investor Services and within other platforms as appropriate
        • +
        • Opportunity to obtain hands-on experience throughout your role
        • +
        • Working with an exciting, close-knit, supportive & dynamic group
        • +
        • Opportunity to collaborate with other business segments within the bank
        • +
        • Excellent career development and progression opportunities
        • +
        • A comprehensive Total Rewards Program including bonuses and flexible benefits
        • +
        • Competitive compensation

        Job Summary

        -

        Address:

        East Hill Street:Nassau

        City:

        BHS-NEW_PROVIDENCE-NASSAU

        Country:

        Bahamas

        Work hours/week:

        35

        Employment Type:

        Full time

        Platform:

        Personal and Commercial Banking

        Job Type:

        Contract (Fixed Term)

        Pay Type:

        Salaried

        Posted Date:

        2023-06-07

        Application Deadline:

        2023-06-15
        +

        Address:

        TORONTO, Ontario, Canada

        City:

        CAN-ON-TORONTO

        Country:

        Canada

        Work hours/week:

        37.5

        Employment Type:

        Full time

        Platform:

        Wealth Management

        Job Type:

        Regular

        Pay Type:

        Salaried

        Posted Date:

        2023-06-30

        Application Deadline:

        2023-07-14

        Inclusion and Equal Opportunity Employment

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

        Join our Talent Community

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

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

        -
        ",,https://jobs.rbc.com/ca/en/job/R-0000061452/Real-Property-Tax-Officer,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-07-17T01:51:02.005Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/236957478-real-property-tax-officer-at-rbc,,draft,2023-06-17T01:51:01.994Z,import-xml-feed:RBC-Job-Feed,,,,,,, -91d40ea6-73e1-4f31-b924-2cedbc2cf0a2,236957476,RBC,"VP/Sr. Manager, Deposit Product Pricing & Analytics",on_site,"Toronto, ON, Canada",2023-06-17T01:51:01.432Z,"
        +
        ",,https://jobs.rbc.com/ca/en/job/R-0000058439/Senior-BI-Analyst,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-07-07T01:56:02.067Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/243216688-senior-bi-analyst-at-rbc,,draft,2023-07-05T01:51:03.616Z,import-xml-feed:RBC-Job-Feed,,,,,,, +4948f70c-a487-4b43-a3eb-a57c8c7f4f23,243216691,RBC,Data Analyst - ESG,on_site,"Toronto, ON, Canada",2023-07-05T01:51:03.787Z,"

        Come Work with Us!

        At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

        Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

        -

        Job Title

        VP/Sr. Manager, Deposit Product Pricing & Analytics

        +

        Job Title

        Data Analyst - ESG

        Job Description

        What is the opportunity?

        -

        The role will

        -
          -
        • Contribute to the development of a competitive and sustainable pricing approach for USCM’s term deposits, demand deposits and current account in the mid-market corporate space
        • -
        • Support the execution of be-spoke and real-time pricing for large amount of corporate deposits in close partnership with relationship managers, sales and money market desk
        • -
        • Provide input to the overall pricing strategy focused on revenues across clients, deposits and other products at the total portfolio level
        • -
        • Recommend pricing strategies that help shape client, product and tenor mix to achieve a stable operational deposit base over time
        • -
        -

        -

        US Cash Management USCM) Business is a unique opportunity to build the cash management business of the future from the ground up. This is an exciting time to join a start-up function within RBC, built from scratch and anchored in a technical/digital play vs. a traditional play, enabling RBC to compete with new entrants in this space!

        -

        What will you do?

        +

        ESG Data specialist to work within the Data Management Office, working very closely with the Global CGRI team. Role will include supporting investment professionals and regulatory reporting teams with their ESG data needs.

        +


        What will you do?

          -
        • Contribute to the development of a competitive and sustainable pricing approach for USCM’s term deposits, demand deposits and current account in the mid-market corporate space
        • -
        • Support the execution of be-spoke and real-time pricing for large amount of corporate deposits in close partnership with relationship managers, sales and money market desk
        • -
        • Provide input to the overall pricing strategy focused on revenues across clients, deposits and other products at the total portfolio level
        • -
        • Recommend pricing strategies that help shape client, product and tenor mix to achieve a stable operational deposit base over time
        • +
        • Collaborating and supporting ESG SME’s to identify, collect, and analyse data from various sources.
        • +
        • Address data inconsistencies, gaps, and errors using technology such as Python in collaboration with internal stakeholders.
        • +
        • Develop and maintain and document data quality processes and protocols.
        • +
        • Integrate ESG data into existing investment processes and support the development of new processes.
        • +
        • Provide data to regulators, understanding and analysing the associated regulations through a data lens.
        • +
        • Be the point person for ESG data related queries and troubleshooting, performing root cause-analysis.
        • +
        • Working closely with the ESG team to understand business requirements and help identify, implement and maintain data solutions with IT developers.
        • +
        • Collaborate with ESG teams to identify potential investment opportunities based on ESG data.

        -

        People Leadership & Collaboration

        +

        What do you need to succeed?

        +

        Must-have

          -
        • Works with team members to establish goals, drive performance management, support career development and reward strong performance.
        • -
        • Ability to forge strong relationships and routines with cross functional partners to drive strong business outcomes
        • +
        • Excellent communication skills.
        • +
        • Good understanding on Technology and how it can help solve problems.
        • +
        • Curiosity and willingness to learn as part of a team.
        • +
        • Ability to write SQL queries and performing data analysis with Python.
        • +
        • Extensive experience creating visualisation using various tools such as Tableau
        • +
        • Expert at pulling, cleaning and manipulating large sets of data into insights.
        • +
        • A strong interest in ESG matched with an eagerness to learn.

        -

        What you need to succeed?

        +

        Nice-to-have

          -
        • At least 5 years of experience in the financial industry, with preference in Treasury, Cash Management or Transaction Banking.

        • -
        • Excellent knowledge of deposits liquidity value, rate beta quantification and funds transfer pricing of deposits
        • -
        • Fluent with deposits product offerings and competitive pricing in the target market
        • -
        • Good grasp of asset liability management and balance sheet hedging (Treasury / fixed income portfolio management experience is preferred)
        • -
        • Solid understanding of derivatives and tractor/bond ladder in relate to deposits hedging
        • -
        • High degree of business and financial acumen
        • -
        • Able to perform data-driven analytics including the synthesis of complex data into meaningful insights
        • -
        • Able to work with x-functional teams and functional partners to design an efficient process architecture that adheres to all RBC policies and controls.
        • -
        • Strong communication skills with ability to communicate complex messages, trade-offs and tell a compelling story
        • -
        • Have rigorous attention to detail with the ability to grasp big picture
        • -
        • Comfortable working with quick turnaround times and deadlines -
        • -
        • Experience leading or shaping large transformational efforts preferred -
        • -
        • Professional designation (CFA/FRM/MBA) and/or Master in quantitative fields is highly desirable
        • +
        • ESG experience
        • +
        • Completed or studying CFA
        • +
        • Online Data Science courses, Udemy etc.
        +


        What is in it for you?

        +

        +

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

        -

        What’s in it for you?

        -
        -

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

          -
        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation

        • -
        • Leaders who support your development through coaching and managing opportunities

        • -
        • Work in a dynamic, collaborative, progressive, and high-performing team

        • -
        • Opportunities to do challenging work

        • -
        • Flexible work/life balance options

        • +
        • A comprehensive Total Rewards Program including bonuses, flexible benefits and competitive compensation
        • +
        • Leaders who support your development through coaching and managing opportunities
        • +
        • Opportunities to work with the best in the field
        • +
        • Ability to make a difference and lasting impact
        • +
        • Work in a dynamic, collaborative, progressive, and high-performing team
        • +
        • A world-class training program in financial services
        • +
        • Flexible working options fully supported.

        -

        USACASHMGMT

        -
        -

        Job Summary

        -

        Address:

        TORONTO, Ontario, Canada

        City:

        CAN-ON-TORONTO

        Country:

        Canada

        Work hours/week:

        37.5

        Employment Type:

        Full time

        Platform:

        Capital Markets

        Job Type:

        Regular

        Pay Type:

        Salaried

        Posted Date:

        2023-05-24

        Application Deadline:

        2023-05-30
        +

        Address:

        London, United Kingdom of Great Britain and Northern Ireland

        City:

        GBR-GREATER_LONDON-LONDON

        Country:

        United Kingdom

        Work hours/week:

        35

        Employment Type:

        Full time

        Platform:

        Wealth Management

        Job Type:

        Regular

        Pay Type:

        Salaried

        Posted Date:

        2023-06-21

        Application Deadline:

        2023-07-05

        Inclusion and Equal Opportunity Employment

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

        Join our Talent Community

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

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

        -
        ",,https://jobs.rbc.com/ca/en/job/R-0000060445/VP-Sr-Manager-Deposit-Product-Pricing-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-07-17T01:51:01.442Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/236957476-vp-sr-manager-deposit-product-pricing-analytics-at-rbc,,draft,2023-06-17T01:51:01.432Z,import-xml-feed:RBC-Job-Feed,,,,,,, -7d5726b8-4396-4400-ad48-66dda8769dab,237206033,Magna International,Materials Supervisor,on_site,"Woodbridge, ONTARIO, CA",2023-06-17T16:04:03.886Z,"
        -
        -

        QUALIFICATIONS NECESSARY TO DO THE JOB

        -

        • Post-secondary education or equivalent related to Materials Management & Supply Chain
        • Excellent planning, interpersonal/leadership, team building, and organizational skills
        • Highly adaptable, motivated, analytical/data driven, detail-oriented, and able to work autonomously
        • Open-minded and decisive problem solving skills
        • Excellent communication skills (English both written and verbal)
        • Ability and desire to problem solve, multi task with cross functional team, & prioritize
        • Ability to build relationships and work collaboratively and independently
        • Ability to work professionally under pressure
        • 5 years inventory management experience in a multi-site manufacturing environment with successful inventory reduction & cycle count program
        • 3 years Warehouse Management System experience (preferably Solidat)
        • Fully understands the working relationship between Inventory Control and MRP
        • Extensive Supply Chain Experience (raw material, purchase component, outside processor suppliers)
        • Strong Lean Manufacturing and process improvement experience
        • Experience with ERP systems preferably Trans4M/CMI
        • Committed to continuous improvement and learning
        • Proficient with Microsoft Office (Excel, Word, PowerPoint)
        • Capable of working with minimal supervision
        • Ability to interact effectively with all levels of the organization
        • Ability to respond to dynamic and changing environment
        • Support business requirements evenings and weekends, when required
        • Understanding of basic accounting principles

        -
        -
        -

        DESIRABLE ADDITIONAL QUALIFICATIONS

        -
        • APICS CSCP –Certified Supply Chain Professional or equivalent
        • Automotive background (preferably Magna)
        • Value stream mapping experience
        • 6 Sigma Black/Green belt
        • Experience maintaining ERP bill of materials (BOMs) and product routings
        • Canada & USA Customs experience
        • Knowledge of ISO-14001 and TS/IATF-16949 quality systems
        • Forklift/reach truck certification
        • AZ driver’s license
        • -
        -
        -
        -

        MAIN DUTIES AND ACTIVITIES OF JOB

        -

        • Work collaboratively with entire Mytox team to ensure we meet company goals
        • Developing, implementing, and managing proper procedures and processes to ensure high inventory accuracy (at part number/location detail and financial basis) for raw material, purchased components, WIP, and finished goods inventory in multi-site facilities
        • Implementing necessary strategies to meet and maintain department goals
        • Implement and refine effective Solidat Warehouse Management System
        • Ensure effective JIT inventory mix sustained at each appropriate location
        • Responsible for Material Analyst hiring, training, and overall performance
        • Committing to the leadership and development of team members while fostering a positive, collaborative work culture
        • Promoting and communicating lean management techniques
        • Attend Mytox APQP meeting, and provide timely information for program success
        • Monitoring daily department outcomes (achieve inventory turns, 100% customer delivery performance, prevent material related downtime and expedited freight)
        • Reporting on Key Performance Indicators in relation to department goals
        • Ensuring overall safety, quality, and effective performance of Inventory Control and Planning
        • Communicating effectively with suppliers (written and verbal) and purchasing team on a daily basis to achieve organizational objectives
        • Take leading role in implementing flawless customer product launch and effective engineering changes
        • Experience reconciling company inventory at outside processor facilities (remotely and on-site)
        • Conduct inventory cycle counts/physical inventory and/or BOM audits on site and at suppliers
        • Ensure inventory corrective actions are effective to ensure no repeat issues and read-across method is utilized
        • Ensure supplier release issues are resolved effectively
        • Maintain action plan to reduce slow moving inventory
        • Ensure proper FIFO rotation of inventory
        • Provide ongoing timely supplier performance feedback
        • Adheres to all Mytox policies and procedures including safety and environmental
        • Utilizes effective Housekeeping practices and 5S principles
        • Any other reasonable request by management

        -
        -
        -

        Awareness. Unity. Empowerment.

        -

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

        -
        -
        -

        Additional Information

        -
        -

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

        -

        -

        -

        #LI-WM1

        -
        -
        -
        ",,https://jobs.magna.com/job/Materials-Supervisor/562772317/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-17T16:04:03.887Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206033-materials-supervisor-at-magna-international,https://jobs.magna.com/job/Materials-Supervisor/562772317/,draft,2023-06-17T16:04:03.886Z,import-xml-feed:Scrapy-Scraper,,,,,,, -d8b2151b-990b-4d69-b963-e96357b5e47f,237205979,Scotiabank,"Senior Analyst, Financial Planning and Analysis",on_site,Canada : Ontario : Toronto,2023-06-17T15:52:05.208Z,"

        -

        -

        -

        -

        Requisition ID: 177722

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

        -

        -

        Hiring Details:

        -
        • Department: Canadian Banking Finance
        • Business Line: Retail Payments and Unsecured Lending Finance, Retail Banking Finance
        • +
        ",,https://jobs.rbc.com/ca/en/job/R-0000059632/Data-Analyst-ESG,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-07-07T01:56:02.067Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/243216691-data-analyst-esg-at-rbc,,draft,2023-07-05T01:51:03.787Z,import-xml-feed:RBC-Job-Feed,,,,,,, +3daf2652-7b46-4339-8b71-e938eccf7365,243217473,Clearpath,Software Developer-OS,on_site,"Ontario, Canada",2023-07-05T02:18:07.411Z,"

        Description

        +

        Position: Clearpath OS - Software Developer
        Location: Kitchener, Ontario
        Experience: 5+ years
        Education: Graduate degree in engineering/CS or a related field
        Division: OTTO Motors

        +

        About OTTO Motors, a division of Clearpath Robotics

        +

        Our mission is to create safer, more productive and fulfilling workplaces with autonomous material handling technology.

        Most recently, OTTO Motors was recognized among the top 1% of Canada’s highest-performing global private companies by Communitech….. and Fast Company’s 2023 list of Most Innovative Companies in 2023.

        +

        Our loyal customers are also the most recognizable brands in the world and trust OTTO Motors to fulfill their mission-critical material handling needs: General Electric, Toyota, Hershey, Caterpillar, Berry Global, and more. For more information about us, visit www.ottomotors.com. OTTO delivers intelligence, productivity, scalability, results and most importantly, the future.

        +

        As a Software Developer, you will:

        +
          +
        • Design and implement custom software, ranging from low-level robot control code to fleet communication and application development ( C++, python, ROS, ROS2 )
        • +
        • Design and develop architecture, in conjunction with our Autonomy and Fleet management teams
        • +
        • Participate in team-wide coding and architecture reviews
        -

        -

        Job Purpose:

        -

        Reporting to the Senior Manager of Finance, the successful candidate is extremely curious, and action oriented with a supernatural ability to drive results in a highly collaborative manner. The successful candidate will be accountable for many of the team’s financial and management reporting deliverables and work closely with teammates and business partners to provide transparent communication of financial insights and analysis. In fostering strong relationships with business partners, the Sr. Analyst will focus on fully understanding business drivers and the underlying financial results, while relentlessly pursuing value generating insights.

        -

        -

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

        -
        • -Strong Business Partner, support the delivery of several of the teams financial and management reports to key stakeholders including month-end and quarter-end reporting packs, Monthly P&L and Key Drivers
          • Review financial data and analyze to ensure accuracy and completeness of deliverables and understand the impacts of relevant performance metrics to the business
          • Leverage Financial and Analytics (MIS) data to provide financial insights through Financial Reporting & Analysis
          • Support team with the analysis of Credit Card portfolio/Balance Sheet, Net Interest Income and Margin, Non -Interest Revenue, PCL, Expenses and key performance metrics
          • Prepare and present monthly financial dashboards for Business Unit Reviews and Management Reporting packages for Credit Cards and Finance Senior Leadership
          • Ad-hoc analysis providing value-add insights to business line partners, finance and other key stakeholders
          • Proactively identify opportunities for reporting improvements and implement
        • Process Improvement – Leverage digital solutions to seek ways to enhance reporting processes which can include, streamlining of operational processes, enhancement to analytical capabilities and reduction in operational risk
        • Expert user of financial reporting, planning and forecasting systems and tools, including EGL/OBI/Smartview and Hyperion
        • Internal Process Control – Maintain an effective system of internal controls over reporting processes to ensure data accuracy and integrity is at its highest level
        • Documentation – Create detailed job-aids, training materials, desktop procedures and documentation of the current reporting processes
        • Strategic Project Analysis including revenue opportunities, strategic transactions, new product/program offerings, amongst many other initiatives
        • +
            +
          • Collaborate with other teams including perception and navigation, fleet management and application UI
          • +
          • Triage and support live industrial systems in our test facilities
          -

          -

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

          -
          • A solid understanding of financial and management reporting principles
          • Strong problem solving, quantitative and analytical skills; attention to details; ability to analyze business results and identify issues and trends
          • Ability to work effectively and achieve results in a matrix organization
          • Ability to work as part of a team and independently
          • Strong interpersonal, communication, and organizational skills a must
          • Strong data management and modelling skills; ability to build financial models and dashboards
          • Excellent communication skills and ability to communicate findings/analysis and present ideas in a clear and concise manner
          • Ability to multi-task, work independently and deliver high-quality results under very tight deadlines; continuously assess priorities and business requirements, and balance between regular deliverables and priority Executive requests
          • Demonstrated leadership skills and stewardship capabilities in a complex and changing environment
          • Understanding of banking financial statements, profitability drivers within Canadian Banking, including knowledge of Retail lending products
          • An understanding of portfolio management and drivers of Net Interest Income (NII) and Margin (NIM), Non-Interest Revenue (NIR), including Product Pricing/Yields, Funds Transfer Pricing methodologies and balance sheet mix and capital management concepts considered an asset
          • Post-secondary degree in Finance, Accounting, Mathematics, Economics or related field
          • MBA, CFA, or CPA preferred
          • Minimum 2 to 4 years FP&A experience
          • Advanced skills with Microsoft Excel, PowerPoint and Think-cell
          • Knowledge of the Bank’s source and reporting systems an asset (i.e., OBI, Hyperion, Smartview)
          • +

            You come ready with:

            +
              +
            • 5+ years of experience working on C++ projects
            • +
            • Graduate degree in engineering/CS or a related field, with applicable background
            • +
            • Strong software development skills (C++ and Python)
            • +
            • Proficiency with Linux (Debian based distributions)
            • +
            • Working knowledge of the Git version control system
            • +
            • Used Unit Testing framework such as GTest/GMock or other
            • +
            • Excellent teamwork and communication skills
            • +
            • Ability to develop software development plans, including timelines and test procedures
            • +
            • Able to work in Canada
            -

            -

            What’s in it for you?

            -
            • An inclusive & collaborative working environment that encourages creativity, curiosity, and celebrates success!
            • We offer a competitive rewards package: Performance bonus, Employee Share Ownership Program, and Pension Plan Matching, Health Benefits from day one!
            • Your career matters! You will have access to career development and progression opportunities.
            • +

              What’s in it for you:

              +
                +
              • Work life balance - vacation, half-day birthdays and wellness days
              • +
              • Hybrid work environment
              • +
              • Flexibility in when you work, core hours are 10am-3pm EST
              • +
              • Competitive salary and career growth opportunities
              • +
              • Comprehensive benefits for you and your family to support your health and wellness
              • +
              • Additional perks to get you set up at home/work
              • +
              • Opportunity to make a difference with the world’s deadliest, dirtiest and dangerous jobs
              • +
              • Amazing co-workers to laugh and have fun with
              • +
              • Engineering run quarterly Hack Days to pursue interests, passion projects, and experiments
              • +
              • Enjoy designing the future of robotics!
              -

              -

              #scotiafinancejobs

              -

              -

              Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst%2C-Financial-Planning-and-Analysis-ON-M5C2W1/570039017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-22T15:57:03.679Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/237205979-senior-analyst-financial-planning-and-analysis-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst%2C-Financial-Planning-and-Analysis-ON-M5C2W1/570039017/,draft,2023-06-17T15:52:05.208Z,import-xml-feed:Scotiabank,,,,,,, -5c0fed08-16c1-421c-a5ba-bebb6cbfb8f0,237205971,Scotiabank,"Manager, Enterprise Growth Marketing, Media Strategy & Activation",on_site,Canada : Ontario : Toronto,2023-06-17T15:52:03.990Z,"

        -

        -

        -

        -

        Requisition ID: 172097

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

        -

        -

        Purpose
        The Manager, Enterprise Growth Marketing, Media is responsible for contributing to the Digital Marketing team’s success by leveraging multiple digital channels and buying platform capabilities. The incumbent will be responsible for the development and execution of holistic paid media programs, including programmatic display, social, affiliates and search to drive unit sales, revenue and growth. This role is ideal for someone who views experiences holistically through a customer-centric lens, is data-driven and digitally savvy, loves balancing multiple stakeholders, and can switch quickly from strategic thinking to tactical execution to drive exceptional business results.

        -

        -

        -

        Accountabilities
        1. Be the Paid Media Champion
        • Be the Paid Media subject matter expert with well-rounded knowledge across all digital channels, , specifically programmatic display.
        • Tie paid acquisition efforts into overall holistic omni-channel strategy
        • Stay up to date with digital advertising industry, best practices and capabilities
        • Make recommendations on new ideas and testing opportunities
        • Identify trends, training and coaching opportunities for the team to improve their digital buying skills

        -

        -

        2. Campaign Management
        • Lead the development of Paid Media Acquisition strategy across all digital channels (Affiliates, Search, Social and programmatic display) to drive unit sales
        • Contribute to overall squad efforts to achieve forecasted sales and revenue goals
        • Execute paid media strategy in platform, track budgets and optimize for performance
        • Manage ad copy creation and ad approvals across all channels

        -

        -

        3. Collaboration

        -

        • Partner with SEO specialist, customer journey managers, content specialists and ecommerce team to improve page relevancy, page content, customer experience, and digital sales performance
        • Work with business line partners and squad team members to achieve business objectives
        • Partner with Analytics team to develop dashboard and verify data

        -

        -

        -

        Skills
        • Solid understanding of performance marketing channels, technology and analytics that is also current with an ever-changing digital landscape.
        • Strong interpersonal/communication skills and high level of strategic thinking.
        • Superior writing, research, presentation and project management skills.
        • Ability to manage, collaborate and/or influence cross-functional groups, team members and senior stakeholders, both based within Canada as well as outside of the market.
        • Broad understanding of and passion for the sports and fashion/entertainment industry not required but an asset.

        -

        -

        -

        Education and Platform Experience

        -

        • College Diploma or University Degree in a relevant field.
        • 5-8 years’ industry and / or relevant work experience
        • Experience with digital marketing platforms such as:
        o Google Display & Video 360 (DV360)
        o Google Campaign Manager 360 (DCM)
        o Amazon Ads
        o Facebook Ads Manager
        o Pinterest Ads Manager
        o Google Ads Manager
        o Search Ads 360
        o Adobe Analytics
        o Google Analytics
        o Google Looker Studio (formerly Data Studio)
        o Microsoft Power BI
        • English Language is must and French proficiency is an asset.

        -

        -

        Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/Manager%2C-Enterprise-Growth-Marketing%2C-Media-Strategy-&-Activation/567130117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-03T15:57:04.998Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237205971-manager-enterprise-growth-marketing-media-strategy-activation-at-scotiabank,https://jobs.scotiabank.com/job/Manager%2C-Enterprise-Growth-Marketing%2C-Media-Strategy-&-Activation/567130117/,draft,2023-06-17T15:52:03.990Z,import-xml-feed:Scotiabank,,,,,,, -9e274976-efa2-4132-99fb-e6a0d0509b9a,237205997,TD Bank Group,"Manager, Business Application Mgmt (Product Owner)",on_site,"Toronto, ON",2023-06-17T15:53:02.238Z,"
        -

        Company Overview

        -
        -

        Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

        -

        Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

        -
        +

        At Clearpath, we are committed to building and supporting a culture of diversity, inclusion, and accessibility. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, veteran status, sex, sexual orientation, gender identity, and expression. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

        ",,http://jobs.jobvite.com/clearpath/job/ozQEnfwa,feed-importer@jobboard.io,,,,2023-08-04T02:18:07.411Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217473-software-developer-os-at-clearpath,,draft,2023-07-05T02:18:07.411Z,import-xml-feed:Selenium-Scraper,,,,,,, +5677ac26-dde4-4379-be72-b18ac7fc9765,243217441,OMERS,Senior Information Management Specialist,on_site,"Ontario, Canada",2023-07-05T02:18:03.507Z,"
        +

        +

        +

        Why join us?

        +

        Are you looking to join a dynamic pension plan that embodies the strong values of its 560,000 members and is an industry leading global investor? If so, we would love to tell you, our story.

        +

        At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

        +

        We are looking for a motivated Senior Information Management Specialist to join the dynamic Architecture, Infrastructure, Data & Analytics (AIDA) team within OMERS Data & Technology. AIDA applies data, analytics, and AI to develop scalable and appropriately governed solutions that drive sustainable growth at OMERS.

        -

        Department Overview

        -
        -

        Business Application Ownership and Management at TD is part of an enterprise-wide data and analytics ecosystem. We strive to be the better bank, and in this role, we’ll count on you to be our interface between business and technology.

        -

        We’re looking for highly analytical, collaborative and agile professionals who can merge and translate data to build business momentum and deliver results.

        -

        Using professional and experiential knowledge, the Business Application Ownership and Management team works in close partnership with corporate functions and technology, as well as aligns to project management, business analysis, business management, strategy and governance.

        -

        Reporting to the Sr. Manager, Business Application Management, the Business Application Manager within Fraud Product is responsible to Lead and execute initiatives that vary in size and complexity along with supporting transformational and business as usual initiatives from business case to execution and sustainment to business as usual (BAU) and adoption within Enterprise Protect and other Business. The Business Application Manager plays an integral role in supporting the organization’s senior leadership in achieving their objectives.

        -
        +

        Job Description Summary

        -

        Job Description

        -
        -

        About this Role

        -

        The general accountabilities of this role include, but are not limited to the following:

        +

        Reporting to the Manager of Information Management, in this role you will:

          -
        • Establish Product owner presence and appropriately guide agile teams, Business owners, and other partners to successful product feature completion.
        • -
        • Own and maintain product roadmap to establish vision, clarity, and alignment with the strategic and tactical direction of the Business.
        • -
        • Familiarity and working knowledge of Azure offerings and cloud migration initiatives related to data analytics & modeling.
        • -
        • Keeping up to date with recent fraud trends and analytical tools to help combat fraud.
        • -
        • Collaborate across other delivery teams to provide ongoing pipeline & status updates for initiatives to ensure we achieve desired and end state on time and in budget
        • -
        • Work closely with, influence and effectively manage relationships with key partners and stakeholders, up to the Executive Level, to successfully delivery & implement initiatives & meet associated business objectives
        • -
        • Promote TD Agile practices and train project members and/or Business users where applicable
        • -
        • Collaborate with architects, applications, and systems development teams to ensure database designs and data models support the integration of data/information flow across systems and platforms
        • -
        • Proactively build and maintain regular detailed reports/dashboards to enhance existing portfolio reporting and identify trends
        • -
        • Oversee scope of the project and collaboratively adjusts scope when necessary, ensuring adherence to established project change management processes
        • -
        • Adhere to enterprise project gating and governance controls to ensure that projects meet all the performance, quality and compliance standards and conforms to appropriate methodology
        • -
        • Apply data modelling and database design standards, everything ranging from naming standards to database performance optimization; implement data strategies; build data flows, personas, user journeys and assisting Business Architecture team to map them to target state capabilities
        • +
        • Contribute to the modernization journey of information management at OMERS in multiple ways, from strategy to execution, operations, and learning.
        • +
        • Operationalize Enterprise Information Management (EIM) capabilities for electronic information across the entire Information Lifecycle (Create, Store, Use, Share, Archive & Destroy), to improve efficiency, promote transparency and enable business insight.
        • +
        • Operationalize Retention and Disposition capabilities for data stored in Microsoft 365 and establish processes to monitor and manage ongoing disposition reviews across the organization.
        • +
        • Participate in enterprise-wide projects and initiatives to streamline information management practices and migrate content from heritage platforms to modern workplace solutions such as M365 SharePoint/Teams.
        • +
        • Provide Information and Records Management advisory services, training, and enablement to employees across the organization.
        +

        +

        To be successful in this role, you will develop and nurture strong relationships with key partners (including Technology Teams, Risk, Privacy, Cybersecurity, Internal Audit, Compliance) and OMERS Business Units to enable information management solutions in alignment with applicable laws, regulations, industry standards and best practices which govern the handling of records and data. You will also develop, implement, and maintain key processes and controls for complying with those requirements, such as data retention and disposition processes. In doing so, you will directly strengthen our compliance practices and help optimize the ability of data to support a diverse array of global business functions.

        +

        +

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

          -
        • Conduct ad-hoc analysis as required by the business and deliver results by developing and executing on innovative analytical solutions
        • -
        • Work creatively as an out-of-the-box thinker, with conceptual and problem-solving skills
        • -
        • Exercise excellent judgment and has personal integrity when handling sensitive/confidential information
        • +
        • Participating in enterprise-wide services to operationalize retention and disposition policies/labels on Microsoft 365 Online (Exchange Online, OneDrive, SharePoint & Teams).
        • +
        • Working with the Information Governance and Technology teams to establish reporting and monitoring capabilities for Microsoft 365 retention.
        • +
        • Working with OMERS Business Functions, Information Governance and Technology Teams to manage disposition trigger events and conduct disposition reviews for electronic records stored in the Microsoft 365 environment.
        • +
        • Developing electronic records file plans and retention labeling procedures for Business Functions across the OMERS organization.
        • +
        • Participate in the analysis of data and migration activities to clean-up content stored on legacy platforms such as Network Drives.
        • +
        • Create educational materials and best practices such as SharePoint & Teams Site usage best practices.
        • +
        • Assist with the establishment and ongoing operational activities related to the Data Stewardship Program to enable management and oversight of our organizational data assets.
        • +
        • Drive a culture of compliance and innovation by delivering records and information management related training, awareness, and enablement programs.
        -

        -

        Requirements

        -
        What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

        +

        To succeed in this role, you have:

          -
        • Undergraduate degree or technical certificate
        • -
        • Seven (7) or more years relevant experience
        • -
        • Working knowledge of enterprise data governance policies, processes, and data management implementation for SQL database servers.
        • -
        • Thorough knowledge of project management principles, practices, techniques, and tools
        • -
        • Experience executing projects using different approaches, like Waterfall, Iterative, or Agile
        • -
        • Previous experience developing and executing on strategies and delivering superior results in both the short and long term
        • -
        • Strong analytical and problem-solving skills; uses strong communication skills to communicate complex issues in easily understandable terms.
        • -
        • Proven ability to see business processes through the customer and employee lens
        • -
        • Ability to deal with significant ambiguity and flexibility to adapt to changing business priorities in a fast-paced environment while continuously challenging the status quo
        • -
        • Strong business acumen, financial acumen and analytical skill set – ability to absorb information on a variety of complex issues (financial and non-financial) and summarize key issues or concerns and identify common themes and trends
        • -
        • Strong communication (written & verbal) and inter-personal skills to facilitate working with colleagues at all levels of the Organization
        • -
        • Team player with exceptional relationship management & influence skills
        • -
        • Natural collaborator who engages colleagues, business partners, external stakeholders, and employees at all levels of the organization with a superior ability to make things happen using positive influence
        • -
        • Sound working knowledge of various software applications (e.g. MS Excel, MS Word, MS PowerPoint, Project, Visio, etc.)
        • -
        • Experience in any Fraud Management group would be valuable but not essential
        • -
        • Relevant university degree or equivalent work experience
        • -
        • At least 3+ years of experience working in an Agile environment and proficient in using JIRA/Confluence.
        • -
        • -
        • Nice to Have
        • -
        • Specific experience as a Product Manager for data and/or analytics-intensive solutions – identifying customer data needs, prioritizing backlog, guiding solution construction and implementation,
        • -
        • Conceptual understanding of big data approaches and technologies.
        • -
        • Familiarity with Relational, NoSQL, and Hybrid database management systems.
        • -
        • Understanding of Data Engineering and Data Science approaches and concepts.
        • +
        • Degree or diploma in Archives, Information Studies, Library and Information Science, Information Technology Management, Law, Compliance or Policy Management AND/OR relevant professional certification, such as Certified Records Manager (CRM), Certified Records Analyst (CRA), Information Governance Professional (IGP) or Certified Information Professional (CIP).
        • +
        • 3+ years experience working as a Information Management specialist (or similar) on Enterprise Content Management (ECM) and/or Migration projects.
        • +
        • Experience to capture business/functional requirements and articulate as process workflows using system mapping tools such as Visio and translate into User Stories.
        • +
        • Ability to analyze and understand business information and records management requirements to develop business solutions.
        • +
        • Good understanding of records/data retention, disposition, legal holds, archival preservation, content management systems and information governance standards and best practices.
        • +
        • Ability to build relationships and facilitate discussion across a diverse group of stakeholders from different business units.
        • +
        • Demonstrated experience in project and time management.
        • +
        • Polished written communication and dynamic presentation skills targeted at all levels of the organization.
        • +
        • Experience with Microsoft Purview Compliance Portal is an asset.
        • +
        • Organizational Change Management Experience is an asset.
        • +
        • Experience automating or enhancing records and data management processes through the use of technology is an asset.
        • +
        • Experience working in the Finance, Pensions, Investments or Commercial Real Estate sectors is an asset.
        -
        -

        -

        Additional Information

        -
        #TDCYBERSCEURITY
        #LI-POST -
        -

        -

        Hours

        -
        37.5
        -

        -

        Inclusiveness

        -

        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

        -

        -
        ",,https://jobs.td.com/en-CA/jobs/18582997/manager-business-application-mgmt-product-owner-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-07-17T15:53:02.279Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237205997-manager-business-application-mgmt-product-owner-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18582997/manager-business-application-mgmt-product-owner-toronto-ca/,draft,2023-06-17T15:53:02.238Z,import-xml-feed:TD-Bank-Group---Job,,,,,,, -63b45adf-924d-4133-a6b1-c008b43e731a,237205994,TD Bank Group,"Sr Mgr, Business Application Mgmt (Product Development)",on_site,"Toronto, ON",2023-06-17T15:53:02.021Z,"
        -

        Company Overview

        -
        -

        Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

        -

        Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

        -
        +

        +

        +

        +

        +

        Our story:

        +

        Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

        -

        Department Overview

        -
        -

        Business Application Ownership and Management at TD is part of an enterprise-wide data and analytics ecosystem. We strive to be the better bank, and in this role, we’ll count on you to be our interface between business and technology.

        -

        We’re looking for highly analytical, collaborative and agile professionals who can merge and translate data to build business momentum and deliver results.

        -

        Using professional and experiential knowledge, the Business Application Ownership and Management team works in close partnership with corporate functions and technology, as well as aligns to project management, business analysis, business management, strategy and governance.

        -

        If you get business application management, its potential and power, we think you’ll love working with like-minded and innovative experts at TD, where you can help drive the business forward and take your own career to new heights.

        -
        +

        OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

        +
        ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Lead-Information-Management-Specialist_JR-5064?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-07-18T02:23:02.961Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217441-senior-information-management-specialist-at-omers,,draft,2023-07-05T02:18:03.507Z,import-xml-feed:Selenium-Scraper,,,,,,, +a8bec8a3-040a-41c1-8416-a8cb7c93efe0,243217446,OMERS,Director of Technology Architecture,on_site,"Ontario, Canada",2023-07-05T02:18:03.994Z,"
        +

        +

        +

        Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

        +

        At OMERS, we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

        +

        The Director of Technical Architecture will be joining the Architecture, Infrastructure, Data & Analytics (AIDA) team within Data & Technology (D&T), reporting to the Vice President, Enterprise Architecture. You will collaborate with teams across OMERS and Oxford to drive the design and implementation of the firms’ overall technical architecture across a variety of domains. The incumbent will be accountable for enabling teams within our federated delivery model with the right advice that will allow them to design solutions that implement key technologies in a consistent fashion.

        -

        Job Description

        -
        -

        -

        About this Role

        -

        Are you looking for a strategic leadership role where you can inspire and influence a team as well as the overall strategy enterprise-wide? Can you lead within an ecosystem of inter-connected teams, projects and business applications to grow team expertise to align with business and enterprise demand and direction?

        -

        We’re looking for a confident, capable and collaborative senior people manager ready to lead, optimize and grow a sizeable team of business application management professionals.

        -

        -

        As a Senior Manager, Business Application, you will:

        +

        Key Responsibilities:

          -
        • Oversee and lead a large, highly complex and diverse reporting function for an area of significant risk, complexity and scope while growing talent, developing skills and capabilities to achieve career goals, support project/initiative success and achieve business results
        • -
        • Provide people management leadership and deliver business results by hiring top talent, allocating resources appropriately, setting goals, coaching, mentoring and developing staff and managing performance and compensation
        • -
        • Be a strategic partner to your leadership team on the management of the portfolio and financials, with deep industry, internal, and external competitive knowledge
        • -
        • Set operational team direction and facilitate key strategic discussions / provide thought leadership to executives to identify operational efficiencies and opportunities
        • -
        • Be directly accountable for leading and managing business operations practices by planning for a longer timeframe to support three or more business applications
        • -
        • Oversee financial planning and management processes for Operations and Marketing Technology budgets as Operational Excellence Champion
        • -
        • Own and maintain three-year roadmaps to establish vision, clarity and strategic alignment with business
        • -
        • Own the deployment and change requirements for initiatives and projects spanning across all project tiers
        • -
        • Be accountable for documentation management (e.g. operations manuals, test plans, more)
        • +
        • Derive the future-state technology architecture with EA peers to analyze business strategy and trends, as well as change requirements in other EA viewpoints (such as business, information and solution); remedy deficiencies in the current-state technologies to derive the future-state technology architecture.

        • +
        • Lead and collaborate to deliver business value by championing and supporting EA activities that guide the development and management of technical and infrastructure solutions.

        • +
        • Define and maintain technical standards, principles, patterns and best practices for the company\'s technology stack.

        • +
        • Collaborate with engineering teams and other technical practitioners to design technical solutions that are scalable, maintainable, and meet business requirements.

        • +
        • Analyze and evaluate technologies by providing leadership, analysis and design to develop target-state guidance for evolving the technical infrastructure across the enterprise; guide technology investment decisions in order to enable business strategies.

        • +
        • Identify and mitigate technical risks associated with complex projects.

        • +
        • Collaborate with stakeholders across the organization to ensure that technical solutions are aligned with business objectives.

        • +
        • Develop and maintain technical documentation, including architecture diagrams, standards, and guidelines across key technical domains.

        -
        -

        -

        Requirements

        -
        -What can you bring to TD?

        -

        Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

        +

        Requirements:

          -
        • Undergraduate degree or technical certificate
        • -
        • Ten (10) or more years relevant experience
        • -
        • Advanced knowledge of business-supported applications, PDLC methodology, business testing, project management, change management and governance standards as well as current and emerging competitor and market trends
        • -
        • High level proficiency in forecasting initiatives and demanding to develop annual strategic plan in alignment with established guidelines and regulatory requirements under Privacy, Legal and Compliance
        • -
        • Expertise in managing budgets and resource allocation
        • -
        • Adroit in using analytical software tools, MS Office, data analysis methods and reporting techniques
        • -
        • Adept in working multi-functionally and communicating positively and professionally (both in speaking and writing) and establishing positive working relationships across multiple business and technology partners, programs and project managers
        • -
        • Act as a brand ambassador for your team, business area / function and TD, internally and externally
        • +
        • A University degree or post-graduate in engineering, mathematics, computer science, or other quantitative disciple and/or combination of equivalent training, education and experience is required

        • +
        • 10+ years of progressive experience in designing, building, testing and deploying technical solutions.

        • +
        • 5+ years of experience as an architect with an emphasis on designing technical solutions for enterprise consumption.

        • +
        • An outcome oriented, systems thinking approach to solving sophisticated and often ambiguous problems to generate reusable solutions.

        • +
        • Strong leadership skills with the ability to manage technologists, either directly or indirectly.

        • +
        • Expertise in designing and implementing complex technical solutions.

        • +
        • Proficiency in articulating technical architectures across one or more of the following domains: security, infrastructure, cloud, data, integration and application.

        • +
        • Experience working on technology solutions in the financial services industry; exposure to technology solutions across one or more of pensions, investments, corporate functions and real estate is a nice-to-have.

        • +
        • Excellent communication and collaboration skills with the ability to work effectively with cross-functional teams.

        • +
        • Strong problem-solving and analytical skills with the ability to identify and mitigate technical risks.

        • +
        • Experience in project management and agile methodologies.

        -
        -

        -

        Hours

        -
        37.5
        -

        -

        Inclusiveness

        -

        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

        +

        This is a high-impact role that requires a strategic thinker with excellent leadership and technical skills. If you are passionate about technology and have a proven track record of designing and implementing scalable and maintainable technical solutions, we encourage you to apply for this exciting opportunity!

        +

        +

        +

        +

        +

        Our story:

        +

        Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

        -
        ",,https://jobs.td.com/en-CA/jobs/18588801/sr-mgr-business-application-mgmt-product-development-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-06-19T15:58:04.825Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237205994-sr-mgr-business-application-mgmt-product-development-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18588801/sr-mgr-business-application-mgmt-product-development-toronto-ca/,draft,2023-06-17T15:53:02.021Z,import-xml-feed:TD-Bank-Group---Job,,,,,,, -2a3849c3-dbb9-4762-939c-6c0d93672469,237206023,Magna International,MRO Supervisor,on_site,"Newmarket, ONTARIO, CA, L3X 2S2",2023-06-17T16:04:02.460Z,"
        +

        OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

        +
        ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Director-of-Technology-Architecture_JR-4920?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-07-11T02:23:03.163Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217446-director-of-technology-architecture-at-omers,,draft,2023-07-05T02:18:03.994Z,import-xml-feed:Selenium-Scraper,,,,,,, +e76ff57a-64be-4c37-a4e9-ff092c6f2c32,243217466,Clearpath,Perception Autonomy Developer Co-op,on_site,"Ontario, Canada",2023-07-05T02:18:06.313Z,"

        Description

        +

        Position: Perception Developer Co-op
        Location: Based in Kitchener-Waterloo, Ontario
        Duration: Fall 2023
        Study Level: Senior
        Area of Study: Computer Science, Software Engineering or Related Field
        Division: OTTO Motors

        +

        About OTTO™ Motors (Division of Clearpath Robotics)

        +

        OTTO™ Motors is a growing, disruptive company, making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self-driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit www.ottomotors.com.

        +

        About the Job

        +

        We\'re looking for a driven, resourceful and motivated candidate for the Perception Developer Co-op position. This person will help develop the next generation of perception and machine learning algorithms to tackle the toughest challenges in localization, mapping, object detection and computer vision.

        +

        The Perception Team’s primary responsibility is the development of the core robotics software responsible for environmental sensing and understanding on all of our vehicles. As a Perception Developer you will work on the development and testing of the core robotics software that drives vehicles at sites all around the world. You will be responsible for evaluating state-of-the-art ideas from academia and industry, and taking these ideas out of the lab and into the real world, identifying opportunities to improve, and developing high-performance software to run in real time on robots.

        +

        Your primary responsibilities will be:

        +
          +
        • Creating robust innovative solutions to the problems of robotic perception
        • +
        • Developing custom perception and machine learning algorithms and systems related to localization, mapping, object detection and tracking, computer vision, and more
        • +
        • Evaluating new sensing technology and robotic platforms
        • +
        • Assisting with concept development for new products and projects
        • +
        • Supporting the deployment and testing of robotic systems
        • +
        +

        Skills and experience:

        +
          +
        • Practical and theoretical knowledge in at least one or more areas of: state estimation, computer vision, SLAM, machine learning, object detection and tracking, robotic perception.
        • +
        • Strong software development skills in modern C++ and Python.
        • +
        • Proficiency with Linux
        • +
        • Understanding of software development workflows, life cycles and development methodologies and tools.
        • +
        +

        Bonus points for:

        +
          +
        • Hands-on experience with real world autonomous systems.
        • +
        • Experience writing efficient, high performance code.
        • +
        • Experience with ROS, Gazebo, OpenCV and PCL.
        • +
        • Experience with machine learning frameworks such as Tensorflow, PyTorch and TensorRT.
        • +
        • Familiarity with linear algebra and nonlinear optimization techniques and libraries such as Ceres, GTSAM, g2o and Eigen.
        • +
        +

        Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, gender identity/expression, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

        ",,http://jobs.jobvite.com/clearpath/job/oG8bnfw6,feed-importer@jobboard.io,,,,2023-07-11T02:23:03.163Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217466-perception-autonomy-developer-co-op-at-clearpath,,draft,2023-07-05T02:18:06.313Z,import-xml-feed:Selenium-Scraper,,,,,,, +0550edad-b747-4236-acf4-2b2267567ef2,243217458,Avidbots,"Senior Manager, Sales Enablement",on_site,"Ontario, Canada",2023-07-05T02:18:05.373Z,"
        +

        Our sales teams are geographically dispersed, and their ability to perform continuously at peak levels is critical to our success.

        +


        +

        We are looking for a Sales Enablement Manager who will work closely with the sales teams and stakeholders across business units, handling a variety of efforts related to our Sales Enablement programs. These include Learning Management System administration, reporting and analytics, workshop logistics, training sessions, scheduling and onboarding assistance for new team members in the Sales organization.

        +


        +

        Day-to-Day Activities

        +
          +
        • Mentor and coach an enablement team to identify & develop new initiatives to facilitate sales growth
        • +
        • Leverage technology insights and data to create a culture of coaching; support sales and business growth via structured and streamlined coaching
        • +
        • Assists with onboarding initiatives and processes
        • +
        +
          +
        • Manages the flow of new hires and acts as a point of contact during onboarding
        • +
        • Pre-plans and handles logistics for virtual, in-class training events and certifications including venue sourcing and system design
        • +
        • Organizes and schedules trainers and various presenters/stakeholders for relevant workshops
        • +
        • Facilitates workshops as needed
        • +
        • Supports Learning Management System administration including enrollments, course management and system structure
        • +
        • Coordinates and sends communications
        • +
        • Enhances processes, looks beyond the status quo
        • +
        • Supports with reporting and analytics
        • +
        • Up to 15% travel
        • +
        +


        +

        Requirements

        +
          +
        • Navigating in a fast-paced environment, shifting as needed to meet business requirements
        • +
        • 5+ years of professional experience in sales and/or enablement roles
        • +
        • Balancing and prioritizing multiple priorities
        • +
        • Organization, detail and change management
        • +
        • Learning Management system administration, design and reporting
        • +
        • Excellent communication skills, both written and verbal
        • +
        • Passion for technology and learning
        • +
        • Establishing and maintaining positive relationships quickly
        • +
        • Helping and collaborating with others
        • +
        • Working autonomously, understanding the value and power of a team
        • +
        • Previous experience with program coordination, logistics and reporting
        • +
        • Proficient working with Learning Management Systems
        • +
        • Comfortable with presentation and facilitation
        • +
        • Successfully complete pre-employment onboarding requirements that may include: criminal/civil background checks and motor vehicle records search)
        • +
        +


        +

        About Avidbots

        +

        At Avidbots, we believe in solving real world problems with autonomous cleaning robotic solutions to unlock humanity’s potential. Neo is our current groundbreaking autonomous floor scrubbing robot that enhances facility cleanliness around the world empowering reallocation of human capital to higher priority focuses… and we’re just getting started!

        +


        +

        Headquartered in Kitchener, ON, Canada, we are an employee-focused organization that has been certified a Great Place to Work® consecutively for the last 4 years and one of Deloitte\'s Fast 500 (2021).

        +

        Now is your opportunity to join a fast-growing technology company built on teamwork, innovation, and boundless ambition!

        +

        Check Neo out!

        +


        +

        ***Applicants must be currently authorized to work in Canada for any employer

        +


        +

        CAD: Avidbots is an equal opportunity employer committed to building a diverse workforce. As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. We are a diverse Canadian company founded by international students, and we are proud of the strengths our diversity brings. We hold our executives to the same standards as all of our employees, and we believe work should be a safe space for all. Avidbots has an absolutely zero tolerance policy for discrimination or hate against members of any race, religion or sexual orientation. We also offer a professional working environment and culture and believe that work / life balance is critical to ensure the happiness/well-being of our people.

        +


        Upon request, Avidbots will provide reasonable accommodation for applicants with disabilities throughout the recruitment and selection process.

        +

        +

        #INDAV

        +
        ",,https://avidbots.bamboohr.com/careers/678,feed-importer@jobboard.io,,,,2023-07-11T02:23:03.163Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217458-senior-manager-sales-enablement-at-avidbots,,draft,2023-07-05T02:18:05.373Z,import-xml-feed:Selenium-Scraper,,,,,,, +c00c127f-3430-4294-9d42-a32763ecd585,237206028,Magna International,Senior IT Internal Auditor,on_site,"Aurora, ONTARIO, CA, L4G 0G9",2023-06-17T16:04:02.665Z,"

        Role Summary

        -

        The MRO Supervisor will ensure MRO spare parts, inventory and sourcing meet Cam-Slide standards. Responsible for quote, negotiation, project and supplier management. Supports production and maintenance with cost and timing, for all production/ prototype / service/maintenance components, tools, spare parts or services as required.

        +
        +

        +

        This position is responsible for assessing the efficiency and effectiveness of IT controls and to provide recommendations for deficiencies noted during the fieldwork. Audit testing will include following established procedures, use of automated tools and require the creation and maintenance of workpaper evidence to support work performed. This evaluation will be conducted for Magna operating divisions, R&D centers, group offices as well as corporate facilities mainly located within Europe. Regular interaction with all management levels as well as both internal and external audit team members is required

        -
        -

        Key Responsibilities

        -

        • Support the development, data collection and reporting of Key Performance in the Maintenance Department
        • Provide daily leadership and supervision to the tool crib attendants including performance management, task prioritization and guidance on tool crib issues.
        • Lead and oversee the tool crib attendants and ensure inventory levels are monitored and recommend min/max level adjustments to minimize inventory value.
        • Ensures timely creation and accurate detailed entry of purchase requisitions and purchase orders preceding authorization approval
        • Complete accounting functions for maintenance department including PO processing and verify documentation for accounts payable.
        • Maintain Parts & Supplies minimum stock and following activities: 5S within the area to ensure organization and appropriate tracking, issue parts from sign out sheets and tracking documents, restock and order parts as needed to maintain appropriate inventory
        • Obtain/ evaluate competitive quotations to obtain the best overall purchase cost, timing and quality. Contract negotiation, analysis and implementation
        • Performs analysis of costs for use during sourcing process ensuring a minimum of 3 quotes are reviewed prior to source selection. Prepare matrix of costs for review by team.
        • Manage Contractors used for key preventative maintenance programs.
        • Ensure contractors receives contractor’s health and safety packages as well as monitor contractors on site.
        • Ensure Contracted services and programs are accurate, completed and not overdue.
        • Use Fiix to track maintenance activities for the facilities including inspection and repairs with Contractors performing maintenance
        • Use Fiix Daily to manage WO History, track progress and repair costs.
        • Audit Fiix WO System for accuracy and improvements
        • Expedite orders, when necessary, effectively manage expedites to eliminate emergency surcharges. Presents action plans to identify expedites and corrective actions.
        • Establish and maintain controls for quantity, quality, price and delivery of related incoming purchased items.
        • Manage all assets and spare parts inventory including vending Machines. Lead inventory cycle counts periodically to ensure accuracy.
        • Monitor incoming and outstanding requests including audit findings and work order requests from other departments.
        • Participate in maintenance meetings and consistently see continuous improvement ideas to include cost savings and cost avoidance applications.
        • Identify best practices; collaborate with Maintenance Lead for implementation of Continuous Improvement on existing Preventative Maintenance documents
        • Oversee management of consignment stock and identify opportunities to minimize inventory value
        • Ensures all incoming materials meet governmental and safety constraints on restricted, toxic and hazardous materials.
        • Focused effort to maintain and develop a qualified supply base that works with Cam-Slide in a partnership to ensure our goals are achieved
        • Other duties as assigned by Manager
        • Adhere to all IATF 16949 policies and procedures
        • Must comply with all ISO 14001 (Environmental) and OHSAS 18001 (Health and Safety) systems and standards as it pertains to their work
        • Abide by all AODA and C-TPAT procedures that apply to their position

        -

        Key Qualifications/Requirements

        -

        • 3 Years’ experience in MRO within the manufacturing industry.
        • Previous experience as an MRO Supervisor preferred
        • Previous experience in contractor management preferred.
        • Excellent organizational, analytical and time management skills with the ability to manage multiple responsibilities to completion within a tight timeline
        • Excellent interpersonal skills required, including an ability to work collaboratively within a fast-paced environment
        • Demonstrated communication and negotiation skills
        • Demonstrated ability to pull the necessary resources together to complete the jobs required
        • Demonstrated ability to distinguish and balance priorities within the areas of responsibility while meeting both the short and long-term objectives
        • The ideal candidate will possess the drive, passion and ability to motivate the team to meet the project goals
        • Proficient in Microsoft Office application
        • Previous experience using maintenance CMMS systems
        • Knowledge of data analysis, and report writing

        +

        Key Responsibilities

        +
        +

        +
        • Perform IT related, Sarbanes-Oxley and operational audits in accordance with the Institute of Internal Auditors (IIA) Professional Practices Framework
        • Test IT internal controls and assess the adequacy of the execution of associated key controls, systems and processes
        • Perform transaction and compliance testing to evaluate the existence, efficiency and effectiveness of internal control procedures and adequacy of control documentation
        • Ensure full engagement coordination with auditees and other staff
        • Perform oral and written presentations to management during and at conclusion of audits, discussing deficiencies, corrective action and improvements in internal controls. Ensure that information is presented clearly, concisely, accurately, in a logical format and in accordance with standards
        • Interview persons in areas under audit to gain understanding of how processes and the system of internal controls operate as well as prepare audit workpapers detailing each work step assigned
        • Assist in and perform special projects as assigned as well as compile and prepare special reports and presentations as required by IA Management
        • Maintain updated knowledge of rules, regulations and standards in the fields of internal audit, IT technology and related matters of interest to the department
        • +
        +

        Other Duties

        +
        • As may be assigned from time to time by Internal Audit department management
        • +
        -
        -

        Additional Information

        -

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

        -

        Awareness. Unity. Empowerment.

        +

        Key Qualifications/Requirements

        -

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

        -

        -

        #LI-NM1

        +

        +

        Knowledge and Education

        +

        +
        • A BS/BA Degree, preferably majoring in Information Systems or Computer Science or related discipline
        • CISA, CIA or similar designation such as CISSP or CISM
        • +
        +

        +

        Work Experience or Knowledge

        +

        +
        • Minimum of 5 years of IT related internal or external audit, or IT operation experience
        • Technical IT or development experience considered an asset
        • IT audit experience in a large public accounting firm or a corporate internal audit team considered a plus
        • Must fully understand corporate policies and procedures and furthermore abide by and practice Magna IA & IIA standards, guidelines, practices, and terminology
        • Financial and compliance audit experience considered an asset
        • +
        +

        Skills and Competencies

        +

        +
        • Understanding of IT audit standards and frameworks (e.g. COBIT, ISO/IEC, NIST) and data security and privacy regulations (e.g. PCI, CPNI, CCPA, HIPAA)
        • Working knowledge of IT General Controls in a variety of working environments and relevant technologies (e.g. SAP, Oracle, MS SQL databases, Windows and UNIX/LINUX platforms, Cloud computing)
        • Adept at assessing complex IT and business process environments to identify potential IT, financial, operational and compliance risks
        • Excellent process facilitation, project management, problem-solving and analytical skills
        • Strong organizational, time management, and follow up skills including the ability to handle and adjust to competing priorities to meet deadlines and commitments
        • Must be fluent in English both written and spoken while possessing German or other European language skills considered an asset
        • Highly ethical, team oriented, flexible, inquisitive, and logical with the ability to maintain objectivity, confidentiality and integrity
        • Advanced knowledge of Microsoft office products. Familiarity with SAP or similar large ERP systems along with a familiarity with automated audit tools considered an asset
        • +
        +

        Work Environment

        +

        +
        • Offsite travel must be expected at least 50%. 50-75% of this should be expected to be overnight travel depending on season. Travel changes due to unplanned demands may arise from time to time.
        • Must have the ability to travel and work in the stated regions which may include obtaining required work Visa.
        • +
        -
        ",,https://jobs.magna.com/job/MRO-Supervisor/570640617/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-03T16:09:04.525Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206023-mro-supervisor-at-magna-international,https://jobs.magna.com/job/MRO-Supervisor/570640617/,draft,2023-06-17T16:04:02.460Z,import-xml-feed:Scrapy-Scraper,,,,,,, -e68f9c43-7985-4e77-b3b4-5805d22c7849,237206026,Magna International,Automation Robotics Technician (Night Shift) 1 1,on_site,"Concord, ONTARIO, CA, L4K 2R2",2023-06-17T16:04:02.578Z,"
        -

        HEALTH, SAFETY & ENVIRONMENTAL RESPONSIBILITIES

        -

        Ensure all safety and non-safety rules and regulations are followed. Review and adhere to division-specific health and safety, environmental, and quality standards, operating procedures, and policies. Respond and report in a timely manner to items brought to his/her attention with respect to hazards, defects or non-compliance issues. Understand and uphold the policies that prohibit workplace violence and harassment.

        +

        Additional Information

        +
        +

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

        +

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

        -
        -

        KEY JOB RESPONSIBILITIES

        -

        1. Responsible for modifying existing automation control systems as well as designing, estimating, and commissioning new automation control systems integrated with Robots based on PLC’s
        2. Implement Safety Category 4 for all required installations, presses and robotics work cells
        3. Integrate equipment with robots and various testing and monitoring instruments
        4. Troubleshoot process problems and initiative and/or participate in Continuous Improvement initiatives and quality improvements
        5. Maintain and service automated work cells; mechanical and hydraulic presses
        6. Set up and conduct predictive and preventative maintenance programs for required equipment
        7. Perform all work in good standard, respond to off duty calls, and work rotating shifts if required.
        8. Follow all work cell and/or department standardized work instructions/procedures.
        9. Ensure, with the cooperation of other Co-Ex-Tec departments and Corporate that the division achieves and maintains the highest possible Customer rating for satisfaction; strive for zero defects in all areas of the business.
        10. Ensure compliance and enforcement of Customer Specific Requirements, QMS (IATF16949), Health and Safety (ISO 45001), EMS (ISO14001), and security (PIP) requirements.
        11. Perform housekeeping duties to maintain a clean, safe, and organized work area.
        12. Promote and comply with health, safety, and environmental standards, safe operating procedures, good housekeeping practices and the observance of protective equipment requirements at all times.
        13. Attend authorized training in order to develop and/or maintain relevant job-related knowledge, techniques, skills, and/or certification.
        14. May be required to carry out job duties and responsibilities in a work environment that may include, but is not limited to, varying levels of noise and/or temperature.
        15. Perform any other reasonable duty as required or assigned by Management.

        -

        CORE COMPETENECIES AND SKILLS

        -

        • Proficient knowledge in PLC Programming: Allen Bradley RsLogix 500, 5000, Omron Sysmac Studio, Omron CS-Programmer, Omron NT-series Support Tool, Beckhoff, Visual Studios, Factory Talk View Studio, HMI Software (RsView Studio ME), Office, AutoCAD, Ethernet based communications and networks
        • Ability to understand advanced PLC commands and HMI usage
        • Ability to create and modify electrical drawings, process & instrumentation diagrams and schematics when required
        • Exposure with configuring communication bus architectures using Ethernet and DeviceNet
        • Experience with the design and integration of machine safety circuits, safety PLC’s and applications (ABB Jokab)
        • Relevant experience with motion control architectures preferably around Allen Bradley Kinetix and/or VFD drive systems
        • Experience with Data Tracking using Barcode Scanners or RFID
        • Must be willing to work “hands on” in the manufacturing area
        • Extensive knowledge of the Ontario Electrical Code and Electrical Circuits Confident leading automation programs and integrating robot applications
        • Experience with Fanuc, ABB, and Kuka robots an asset
        • Excellent communication skills both written and oral
        • Excellent analytical and problem solving skills
        • Willing to work overtime as per job requirements

        +

        Awareness. Unity. Empowerment.

        +

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

        +
        ",,https://jobs.magna.com/job/Aurora-Senior-IT-Internal-Auditor-ONTA-L4G-0G9/570967017/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-17T16:04:02.665Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206028-senior-it-internal-auditor-at-magna-international,https://jobs.magna.com/job/Aurora-Senior-IT-Internal-Auditor-ONTA-L4G-0G9/570967017/,draft,2023-06-17T16:04:02.665Z,import-xml-feed:Scrapy-Scraper,,,,,,, +273211df-79ca-43ab-98bb-b605ed46e07b,237206031,Magna International,Controller,on_site,"Vaughan, ONTARIO, CA, L4K 2K1",2023-06-17T16:04:03.387Z,"
        -

        EDUCATION AND PROFESSIONAL EXPERIENCE

        -

        • Degree/diploma in Electrical Engineering, or Electro-Mechanical Engineering
        • Certified Electrician, an asset
        • Minimum 3 Years of experience in Electrical / Controls Design and Programmable Logic Controllers / Human Machine Interface Programming (PLC / HMI) / Vision Systems / Robot programming and troubleshooting including debugging, testing and commissioning.
        • Strong MS Office skills

        +

        Key Qualifications/Requirements

        +

        • Accounting Designation (CGA, CMA, CA, MBA, etc.)
        • Minimum 5 years’ related experience
        • Minimum of 3 years Supervisory/Management experience
        • Minimum of 3 years of Manufacturing experience
        • Mathematical aptitude
        • Problem solving ability
        • Good analytical and interpersonal skills
        • General understanding of accounting principles and functions
        • People-oriented
        • Good knowledge of computer systems, application principles, and widely-used PC based programs, such as Outlook, Microsoft Office, Accpac, as well as Mytox’s MRP system and Payroll system
        • Possess excellent communication and interpersonal skills
        • Must be well organized and flexible to meet deadlines

        -

        Additional Information

        -

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

        +

        Key Responsibilities

        +
        +

        • Responsible for Financial Accounting

        +

        • Provides direction to Financial Accounting and Payroll

        +

        • Ensures consistent and appropriate accounting records and standards are maintained. Establishes and maintains internal controls over accounting records

        +

        • Ensures implementation of new legislation or Magna/Exteriors accounting requirements

        +

        • Prepares budgets, annual business plan and forecast updates as required

        +

        • Ensures accurate monthly financial statements in required Magna format and any other required financial reports are produced on time

        +

        • Investigates any unusual or significant variances and reports on these to management

        +

        • Ensures compliance with Magna/Exteriors reporting format for year-end, month-end and quarterly

        +

        • Ensures audit file is accurate and complete by deadline

        +

        • Liaises with outside auditors

        +

        • Coordinate and supervise all A/P functions

        +

        • Coordinate and supervise all A/R functions

        +

        • Ensures that employees reporting to him/her directly adhere to the policies and standards set forth in the Employee Handbook and keeps Employee Files up-to-date which includes:

        +

        o Monitoring attendance

        +

        o Keeping record of training

        +

        o Conducting regular and timely performance reviews

        +

        o Entering any other information into the folder that is relevant to the employee’s performance

        +

        • Writes and implements any BOS/desk procedures relating to areas of responsibility

        +

        • Responsible for archives and timely destruction of obsolete material

        +

        • Conduct Customer Specific Requirements for Layered Process Audit

        +

        • Conduct New Employee training verification

        +

        • Perform employee safety observations

        +

        • Comply with Sections 25, 26 & 27 of the OHSA

        +

        • Perform regular workplace inspections

        +

        • Conduct regular safety talks

        +

        • Be involved with accident/incident investigation program

        +

        • Correct unsafe acts or conditions

        +

        • Commend or correct health and safety performance

        +

        • Conducting performance appraisals for Worker’s Safety performance

        +

        • Train new employees regarding Job Specific Hazards

        +

        • Adhere to all rules and regulations as outlined in the Mytox Employee Handbook

        +

        • Adhere to all applicable Business Operating Systems Procedures

        +

        • Participate and support the employee suggestion program

        +

        • Any other reasonable request made by Management

        +
        +
        +
        +

        Additional Information

        +

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

        Awareness. Unity. Empowerment.

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

        -
        ",,https://jobs.magna.com/job/Automation-Robotics-Technician-%28Night-Shift%29-1-1/571052717/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-03T16:09:04.525Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206026-automation-robotics-technician-night-shift-1-1-at-magna-international,https://jobs.magna.com/job/Automation-Robotics-Technician-%28Night-Shift%29-1-1/571052717/,draft,2023-06-17T16:04:02.578Z,import-xml-feed:Scrapy-Scraper,,,,,,, -360e573f-2e46-4f9a-87b9-cd621ed44327,237381186,Scotiabank,QA Specialist - Data Engineering,on_site,Canada : Ontario : Toronto,2023-06-18T15:52:02.633Z,"

        -

        -

        -

        -

        Requisition ID: 177926

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

        -

        -

        Data Quality Assurance Team under Canadian Banking Technology (CBT) Data Services Organization is responsible for Quality assurance & testing automation for all projects related to Data Engineering, ingestion, transformation and delivery between Canadian Banking source applications and Enterprise data lake (EDL), Enterprise Data Warehouse and Global Data & Analytics Platform.

        -

        -

        This position will help to ensure to perform functional and non-functional testing of ETL/ELT jobs for data and analytics platforms, including but not limited to Hadoop, Azure, SQL server, DB2, Oracle, NoSQL

        -

        -

        Developing test plans that ensure appropriate functions, features and scenarios are exercised for each new application/release; driving test development and execution to meet the project objectives for each new application/release; testing code fixes and change requests after the data integration jobs move into production including regression testing as appropriate; and establishing a testing framework that promotes a repeatable, quality-driven test process for all phases of the software development lifecycle.

        -

        -

        Guided by Bank policy, receives direct supervision from the Senior Manager. Within a well-defined task, the QA Specialist is expected to function independently while ensuring that management is kept informed, and that problems and issues are escalated appropriately.

        -

        -

        What will you do?

        -

        -
        • Your passion for Software/Data Quality and ETL testing
        • Exposure to Big Data, Enterprise Data Lake, Hadoop is an asset
        • Expert knowledge of SQL queries, ETL, Back-End testing
        • Work with Technology Partners, Source Teams, Developers, Business Analysts to understand mapping and resolve complex data logic
        • Work with QAT Leads across value streams within QAT to understand test data requirements and facilitate test data preparation
        • You are diligent with documenting test artifacts such as, test plans, test cases, test results and defect reports
        • You are proactive and part of a dynamic team in an Agile environment
        • You work with your scrum team to design and develop test strategies, testability requirements and implementation strategies
        • You will contribute to test automation tools and infrastructure by creating and augmenting test cases and test libraries
        • You are comfortable working in a self-guided manner with the ability to prioritize tasks and manage your own time efficiently, without direct input or oversight
        • You work as part of a team and encourage both individual and collaborative innovation
        • You’re a fast learner who has an appetite for learning what’s behind both simple and complex solutions
        • You have a positive and resilient personality. You must be able to embrace feedback and have a desire for continuous iteration and improvement
        • You have strong analytical and problem resolution skills
        • +
        ",,https://jobs.magna.com/job/Vaughan-Controller-ONTA-L4K-2K1/571036517/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-17T16:09:03.123Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206031-controller-at-magna-international,https://jobs.magna.com/job/Vaughan-Controller-ONTA-L4K-2K1/571036517/,draft,2023-06-17T16:04:03.387Z,import-xml-feed:Scrapy-Scraper,,,,,,, +33baba46-23d2-4022-880c-9ea6a23c836b,243955424,RBC,"Manager, Fraud Detection Analytics",on_site,"Toronto, ON, Canada",2023-07-07T01:51:01.807Z,"
        +

        Come Work with Us!

        At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

        Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

        +

        Job Title

        Manager, Fraud Detection Analytics

        +

        +

        Job Description

        +

        What is the opportunity?

        +

        As a Manager, Fraud Detection Analytics, you will be responsible for the development and execution of fraud detection strategies using advanced analytical methodologies and techniques. These fraud detection strategies will be applied with the goal of reducing RBC’s Fraud Risk and losses, while maintaining a positive client experience and controlling operating costs. You will innovate and implement novel methodologies to improve detection and efficiency across the team, further automating and streamlining processes. You will contribute to and support a variety of projects and initiatives across Fraud Management and collaborate with multiple stakeholders at varying levels of seniority.

        +

        +

        Please Note: This position is not a people manager role and we welcome applicants from across Canada to work in a hybrid capacity.

        +

        +

        What will you do?

        +
          +
        • Implement advanced analytical methodologies and proactively identify opportunities to innovate new techniques for fraud detection strategy creation and process and technology improvements
        • +
        • Collaborate with Data Science & Innovation on machine learning and artificial intelligence projects that impact fraud detection, document methodology and standardize process to ensure repeatability
        • +
        • Develop, maintain and optimize fraud detection strategies for non-traditional channels & products, and explore multiple data sources to proactively identify emerging fraud trends and patterns
        • +
        • Leverage reporting to monitor the performance of existing fraud detection strategies, optimize these strategies and use analytical tools to improve detection strategies, enhancing the tools & techniques
        • +
        • Prioritize fraud detection alerts across detection platforms, verify that all rule deployments are accurate and ensure a balance between fraud losses, client experience and operational costs
        • +
        • Contribute to Fraud Management projects and initiatives, provide detection recommendations and implement detection strategies by project deadlines
        • +
        • Develop Fraud Detection analytics best practices, contribute to the development and implementation of the rule strategy framework and create programming code standards for fraud detection
        • +
        • Collaborate across the team to ensure best practices are applied, act as a technical resource for other team members and respond to inquiries regarding fraud data and detection strategies
        -

        -

        What do you need to succeed?

        -

        -
        • QA Specialist with strong ETL testing background, minimum of 9 years of experience
        • Excellent knowledge of SQL
        • Experience with Automation skills such as Robot framework, Python, etc.,
        • Excellent knowledge of data warehouse concepts and database such as Oracle, DB2, SQL Server, NoSQL(MongoDB, Cassandra)
        • Experience with one or more ETL applications like Talend, SSIS, Data Stage, Informatics, Oracle Data Integrator
        • Testing experience in Hadoop and public cloud environment, including Azure
        • Working knowledge of JIRA, Data Comparison tools
        • You have experience in software testing techniques, methodologies, and tools
        • Establish traceability between test cases, user stories and bugs
        • Expert understanding of UAT standards and methodology
        • Testing Automation strategy definition and execution
        • Effective communication skills to address issues with QA testing and other department staff who have varying degrees of experience and technological knowledge
        • Outstanding written and verbal communication abilities
        • +

          +

          What do you need to succeed?

          +

          Must-have

          +
            +
          • 3+ years’ experience in analytics or data science related roles, working with large, real-world datasets
          • +
          • Strong practical knowledge of, and proven experience with, analytical software packages and various programming languages (eg: SAS, R, SQL, Python etc.)
          • +
          • Strong critical thinking and analytical skills with the ability to solve complex problems and develop data-driven solutions
          • +
          • Exceptional communication and presentation skills, including the ability to effectively communicate analytical recommendations to technical and non-technical audiences
          • +
          • Thought leadership capability to lead complex initiatives and discussions driven by analytical and business insights
          • +
          • Ability to see the big picture and guide groups with strategic thinking
          • +
          • Excellent time management skills and demonstrated ability to prioritize workload effectively
          • +
          • Degree in mathematics, statistics, computer science or related quantitative discipline
          -

          -

          What's in it for you?

          -

          -
          • We have an inclusive and collaborative working environment that encourages creativity and curiosity and celebrates success
          • We provide you with the tools and technology needed to create meaningful customer experiences
          • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
          • We hire you for your talent — not just a job — so you can grow with us. We’ll equip you for success not only in your role, but also in your career as a whole
          • Dress codes don't apply here: being comfortable does
          • Our work from home social channel offers weekly virtual yoga, social events, learning opportunities, and contests to share current experiences & promote wellbeing in our new remote environment
          • Access to thousands of online and in-person courses so you can hone your current skills, or learn new ones
          • A competitive rewards package that includes a base salary, a performance bonus, company matching programs on pension and profit sharing, paid vacation, personal & sick days, medical, vision, and dental benefits that start from day one and much more
          • +

            +

            Nice-to-have

            +
              +
            • Experience with Hadoop, Hive, Spark, Scala or other big-data platform technology/tools
            • +
            • Knowledge of Canadian banking and payment industry payments transaction data and financial fraud
            -

            -

            Work conditions: Hybrid

            -

            Some of our perks & onsite offerings will be offline as we continue to monitor federal and provincial regulations around COVID-19

            -

            -

            #LI-Hybrid

            -

            -

            -

            Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/QA-Specialist-Data-Engineering/570400617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-22T15:57:03.679Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/237381186-qa-specialist-data-engineering-at-scotiabank,https://jobs.scotiabank.com/job/QA-Specialist-Data-Engineering/570400617/,draft,2023-06-18T15:52:02.633Z,import-xml-feed:Scotiabank,,,,,,, -c3e42885-3b63-4f5c-a9c6-1097477a59b0,237381199,Magna International,IoT Developer - Industry 4.0,on_site,"Brampton, ONTARIO, CA, L6R 0A9",2023-06-18T16:04:03.041Z,"
        +

        +

        What’s in it for you?

        +

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

        +
          +
        • Continued career advancement opportunities
        • +
        • Exposure to strong mentorship and leadership examples
        • +
        • A comprehensive Total Rewards Program including bonuses and flexible benefits
        • +
        • Ability to make a difference and lasting impact
        • +
        • Work in a dynamic, collaborative, and high-performing team
        • +
        +

        +

        RBC is committed to supporting flexible work arrangements when and where available. Details to be discussed with Hiring Manager.

        +

        +

        +

        +

        Job Summary

        +

        Address:

        TORONTO, Ontario, Canada

        City:

        CAN-AB-CALGARY, CAN-BC-VANCOUVER, CAN-NS-BEDFORD, CAN-ON-TORONTO

        Country:

        Canada

        Work hours/week:

        37.5

        Employment Type:

        Full time

        Platform:

        Personal and Commercial Banking

        Job Type:

        Regular

        Pay Type:

        Salaried

        Posted Date:

        2022-11-21

        Application Deadline:

        2023-07-15
        +

        Inclusion and Equal Opportunity Employment

        +

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

        +
        +

        Join our Talent Community

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

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

        +
        ",,https://jobs.rbc.com/ca/en/job/R-0000038861/Manager-Fraud-Detection-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-07-18T01:56:02.412Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/243955424-manager-fraud-detection-analytics-at-rbc,,draft,2023-07-07T01:51:01.807Z,import-xml-feed:RBC-Job-Feed,,,,,,, +cdbcbf69-0f6f-4e5a-abdb-6de526cc3489,237206022,Magna International,Workday Functional Analyst,on_site,"Aurora, ONTARIO, CA, L4G 0G9",2023-06-17T16:04:02.423Z,"
        -

        Role Summary

        -
        -

        Transform today’s manufacturing by developing standard PLC and equipment programming concepts to support Magna Structures Heart Lake implementing an IoT architecture. The IoT Developer would be responsible for developing software to support digitizing of production lines and implementing streaming machine controls.

        -

        **The successful candidate for this role will work at our new Magna Structures Heart Lake facility located in Brampton, ON**

        -
        +

        Role Summary

        +

        The Workday Functional Analyst will be responsible for the ongoing administration, development and support of Workday. The role requires gathering of requirements, solving issues, and developing and executing new enhancements. Workday modules that this role will support primarily include: Core HCM, Compensation and Benefits (for Canada/US). Other modules include: Talent Management and Absence Management.

        -

        Key Responsibilities

        -
        -

        We are building fully connected systems to achieve operational excellence – help us transform today’s manufacturing by Developing new techniques to connect legacy equipment to modern infrastructure.

        -
        • Managing code deployments, fixes, updates and related processes
        • Support multiple on-going projects in a fast-paced environment
        • Explain technical concepts and analysis implications clearly to a wide audience and be able to translate business objectives into actionable analysis
        • Creating IoT applications that run on-premise and in the cloud
        • Brainstorming for new ideas and ways to improve development and delivery
        • Developing KPIs, metrics, and other monitoring tools to track I4.0 production environments
        • Providing detailed specifications for proposed solutions including materials, external services and internal resources required
        • Working with source control tools (Confluence, GitHub, etc.)
        • Actively troubleshooting any issues that arise during testing and production
        • Performing additional duties as assigned
        • Acting with honesty and integrity, and make ethical business choices in accordance with Magna’s Compliance Policies and Procedures
        • -
        -
        +

        Key Responsibilities

        +
        • Provides Workday subject matter functional expertise for day-to-day support and development including business process configuration, data upload (EIB), testing and other troubleshooting support – specifically for Core HCM, Benefits (Canada and US), and Compensation modules
        • Maintains master data values in Workday
        • Maintains training and communication material, may participate in delivery of training
        • Develops and drives innovative and proactive change efforts for HR process improvements, including enhancements to end user experience
        • Liaise with HR, Payroll, vendors and external consultants
        • Handles ad-hoc or complex mass uploads
        • Supports HR users with completing processes as required
        • Participates in deployment of new businesses: map current processes and data, identify gaps with Workday processes, recommend changes, define requirements, configure, test and validate changes
        • Assists with bi-annual releases, including analysis of impacts of new functionality, testing of integrations and cross functional up and downstream analysis
        • Work with a global Workday support team on day to day activities
        • +
        -

        Key Qualifications/Requirements

        -
        -


        KEY QUALIFICATIONS/REQUIREMENTS:

        -
        • Degree/Diploma in Computer Science or related field of study
        • Minimum six plus (6+) years of related experience required
        • Strong knowledge of Industry 4.0 integration
        • Proven leader
        • -
        -

        -

        POSITION REQUIREMENTS:

        -
        • Understanding of multiple computer programming languages (ex: JavaScript, C#, Python, C++, Java)
        • Experience with databases and different types of data storage
        • Strong experience with relational databases like SQL Server, MySQL and Oracle
        • In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework
        • Experience with the MQTT protocol
        • Time and project management skills, with the capability to prioritize and multitask as needed
        • Experience with capability studies (such as CPK, Gage R, and Gage R&R)
        • Knowledge of different project management methodologies such as Waterfall and Agile
        • Knowledgeable of statistical methods such as regression, probability analysis, risk analysis, statistical process control, and clustering is desired
        • Strong analytical and problem-solving ability to design an effective solution
        • Familiarity with BI technologies (ex., Microsoft Power BI, AWS Quicksight, Qlikview) PLC programming background in Siemens and Rockwell controllers among others
        • Robot programming background (such as Fanuc, ABB, Kuka,etc…)
        • -
        +

        Knowledge and Education

        +

        Completion of University Degree

        +
        +

        Work Experience

        +

        3 to 5 Years of Work Related Experience

        -

        What Heart Lake Offers

        -
        • Weekly pay via direct deposit
        • Overtime after 40 hours worked
        • Company paid Medical and Dental Benefits and an option for enhanced flexible benefits
        • Magna will contribute an amount equal to 3% of regular earnings every week to your retirement savings (MBC program)
        • Profit sharing
        • Matched GRRSP
        • Company paid Life Insurance and Accidental Death and Dismemberment (AD&D)
        • Safety shoe allowance, prescription safety glasses allowance, custom molded earplug allowance
        • Company paid uniforms
        • Company BBQ, holiday parties and company events
        • Corporate Social Responsibility initiatives
        • Annual Employee Opinion Survey
        • Magna Service Award Program
        • Magna Scholarship Program
        • Group Rogers and Bell cellphone data plan available
        • Subsidized cafeteria
        • Educational Assistance Program
        • Employee Discounts: new vehicles, amusement parks, etc.
        • You get to work with a FANTASTIC Team at a state-of-the-art Electric Vehicle Battery Enclosure Plant
        • +

          Key Qualifications/Requirements

          +
          • 3-5 year’s Workday functional experience
          • Strong attention to detail
          • Strong verbal and written communication skills
          • Strong analytical mind; demonstrated critical thinking and analytic skills with strong problem solving and troubleshooting skills
          • Ability to accurately collect information in order to understand and assess the clients’ needs and situation
          • Excellent collaborator and a team player
          • Well-developed root-cause analytical skills with the ability to configure and troubleshoot issues and defects
          • Ability to prioritize workload and provide timely follow-up and resolution
          • Ability to manage confidential and sensitive employee information
          • Understanding of HR operations and experience in employee data management
          • Ability to understand business priorities and align technology opportunities
          • Ability to set priorities in a fast-paced environment
          • Focus on quality and customer service
          • Preferred: Workday Functional Certifications; Workday Pro certification in one or multiple HCM modules, and previous support experience
        -

        Additional Information

        -

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

        +

        Additional Information

        +

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

        -

        Awareness. Unity. Empowerment.

        +

        Awareness. Unity. Empowerment.

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

        -
        ",,https://jobs.magna.com/job/IoT-Developer-Industry-4_0/570436117/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-18T16:04:03.042Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237381199-iot-developer-industry-4-0-at-magna-international,https://jobs.magna.com/job/IoT-Developer-Industry-4_0/570436117/,draft,2023-06-18T16:04:03.041Z,import-xml-feed:Scrapy-Scraper,,,,,,, -4fceaa5c-6db8-496c-81b3-b21b38d347b3,238638891,RBC,Director Data Strategy and Governance,on_site,"Toronto, ON, Canada",2023-06-23T01:51:02.122Z,"
        +
        ",,https://jobs.magna.com/job/Aurora-Workday-Functional-Analyst-ONTA-L4G-0G9/563855217/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-17T16:04:02.423Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206022-workday-functional-analyst-at-magna-international,https://jobs.magna.com/job/Aurora-Workday-Functional-Analyst-ONTA-L4G-0G9/563855217/,draft,2023-06-17T16:04:02.423Z,import-xml-feed:Scrapy-Scraper,,,,,,, +b96924c8-4b52-411d-986e-039b46ea55ac,243217454,Avidbots,Account Executive,on_site,"Ontario, Canada",2023-07-05T02:18:04.732Z,"
        +

        At Avidbots, we believe in solving real world problems with autonomous cleaning robotic solutions to unlock humanity’s potential. Neo is our current groundbreaking autonomous floor scrubbing robot that enhances facility cleanliness around the world empowering reallocation of human capital to higher priority focuses… and we’re just getting started! Headquartered in Kitchener, ON, Canada, we are an employee-focused organization that has been certified a Great Place to Work® consecutively for the last 4 years and one of Deloitte\'s Fast 500 (2021).

        +


        +

        Now is your opportunity to join a fast-growing technology company built on teamwork, innovation, and boundless ambition!

        +

        Check Neo out!

        +


        +

        We are currently seeking a motivated Account Executive to prospect and build relationships with customer stakeholders. The Account Executive will meet customers in person, conduct robot demonstrations and overcome objections to move opportunities through our sales cycle. The successful candidate will build a pipeline through inbound leads as well as prospecting, and work with our BDR team

        +


        +

        ***This role is a remote position traveling 50% within North America

        +


        +

        How you will make a difference:

        +


        +
          +
        • Identify & develop new prospects to facilitate sales growth
        • +
        • Create & maintain a full list of prime candidate end users for robotic solutions
        • +
        • Consult & advise property and facilities managers on solutions which include our mobile robots that work in unstructured environments
        • +
        • Actively manage & track sales activity and forecast revenue/sales pipeline on a weekly basis using Salesforce.com
        • +
        • Understand the competitive landscape and communicate how our product stands out from the competition
        • +
        • Be able to virtually and in person present on the Avidbots product line to customers
        • +
        • Support evaluations & demonstrations at tradeshows and customer sites
        • +
        • Other duties as assigned
        • +
        +

        +

        Preferred qualifications and key skills:

        +


        +
          +
        • +Proven track record of sales success selling disruptive technology into focused markets +
        • +
        • Significant enterprise and mid market sales and customer development experience
        • +
        • Good executive presence, communication skills, and credibility
        • +
        • Demonstrable experience quantifying value at the executive level
        • +
        • Proven track record of consistently meeting or exceeding assigned annual/quarterly goals
        • +
        • Creation and execution of quarterly and annual business plans
        • +
        • History of accurate forecasting and business reporting
        • +
        • Self-motivated & able to learn a complex technology focused product as well as keep up to date with product updates
        • +
        • Proficient with technical communication tools (Google workspace, Meet, Slack, etc)
        • +
        • Mechanical troubleshooting skills (Robotics is a hands on sale!)
        • +
        +


        +

        Minimum qualifications:

        +


        +
          +
        • 5+ years of professional experience leading and closing business-to-business sales proposals
        • +
        • Hold a valid driver’s license and valid passport
        • +
        • Able to travel 50%+ in North America, specifically within the assigned sales territory
        • +
        • Successfully complete pre-employment onboarding requirements that may include: criminal/civil background checks and motor vehicle records search
        • +
        +


        +

        Applicants must be currently authorized to work in the United States for any employer.

        +


        +

        Avidbots is proud to be an equal opportunity employer. We are committed to compliance with all fair employment practices and each qualified applicant will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. By valuing diversity, Avidbots promotes a genuinely inclusive professional atmosphere to offer superior solutions for our clients. Our professionals are highly valued and work in an environment that promotes engagement, safety, healthy living, and superior efficiency.

        +
        ",,https://avidbots.bamboohr.com/careers/676,feed-importer@jobboard.io,,,,2023-08-04T02:18:04.732Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217454-account-executive-at-avidbots,,draft,2023-07-05T02:18:04.732Z,import-xml-feed:Selenium-Scraper,,,,,,, +384195bd-546e-434a-a139-1f98483879df,247783052,RBC,"Associate Director, Quantitative Methodology",on_site,"Toronto, ON, Canada",2023-07-18T01:51:02.235Z,"

        Come Work with Us!

        At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

        Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

        -

        Job Title

        Director Data Strategy and Governance

        +

        Job Title

        Associate Director, Quantitative Methodology

        Job Description

        -

        What is the Opportunity?

        -

        RBC Capital Markets is undertaking a green field project to build a new capability to serve corporate clients.

        +

        Support methodologies related to market risk management for trading or banking portfolios. This includes the specification, implementation, performance monitoring and maintenance of these methodologies. Methodology Development and Documentation: Support market risk methodology (a.k.a ‘models’) development and implementation for trading products, including vanilla bond, agency MBS, ABS, CLO, CMBS and RMBS. Market risk methodologies include, but not limited to, VaR and SVaR models based on historical simulation, statistical analysis for financial data, as well as Market Risk RWA projection. Develop computer program to implement the methodology or test methodology soundness. Act familiar with pricing models for vanilla bond, Agency MBS, ABS, CLO, including multi-factor interest rate model, prepayment model etc. Know vendor system and data for trading products, such as Polypaths, CDO net, Markit. Provide risk modeling transparency. Methodology Maintenance and Monitoring: Remediate model issues from internal validation, internal audit as well as external regulators. Re-submit model white papers on regular basis with portfolio and model features update. Work on the maintenance the existing models. This includes ensuring adequate review of the assumptions on an ongoing basis, timely calibration of the models and monitoring of model limitations. Coordinate with internal stake holders and external regulators: Work with local market risk and front office to coordinate and resolve model related issues for market risk methodologies of trading products. Interact with market data team to ensure the accuracy and completeness of the market data used to support the various models. Market data is a key underlying component for all key risk models and is accordingly a critical area of focus BAU risk management. The work related to market data will involve a significant amount of effort and change in order to comply with the Regulatory expectations. Interact with regulators regarding methodology analysis for market risk. Provide comprehensive explanation of the VaR and SVaR results to the risk managers and senior management.

        -

        Your role will be to use your deep knowledge of data, combined with your understanding of client and business needs to create the business context to bring our data to life for the US Cash Management team and clients alike. You are a thoughtful, proactive, creative, analytical individual with a passion for solving problems for your colleagues and clients through the use of data.

        +

        Full time employment, Monday – Friday, 40 hours per week.

        -

        What will you do?

        -
          -
        • Develop and drive implementation of the overall Data Strategy for the Business
        • -
        • Collaborate with Technology on the build of the foundational data layer including data infrastructure and provide business requirements and direction
        • -
        • Work with Business and IT partners to define strategic and tactical data requirements of the organization to fulfill business needs.
        • -
        • -Drive the key initiatives of the Data team and make sure the initiatives are aligned and run smoothly
        • -
        • Be the Data SME and primary contact supporting the Business’ various projects, with a focus on data governance, quality, requirements and specifications.
        • -
        • Understand the data sources, flows, architecture, data repositories, data requirements for downstream users
        • -
        • Working with the Data Governance team, review and update Critical Data Element (CDEs), identifying data risks and corresponding data controls.
        • -
        • Review, understand and challenge the lineage of documented CDEs
        • -
        • Working with partners, to ensure the Business complies with data privacy policies and data protection regulations.
        • -
        • Supporting the data requirements for Client Statements
        • -
        • Keep up to date with Agile best practices
        • -
        • Foster a data-driven culture
        • -
        +

        MINIMUM REQUIREMENTS:

        +

        Bachelor’s degree in Mathematics, Statistics, Operations Research, or a related field and 3 years of progressive, post-baccalaureate work experience. In the alternative, will accept Master’s degree in Mathematics, Statistics, Operations Research, or related and 2 years of work experience.

        -

        What do you need to succeed?

        -

        Must-have

        -
          -
        • 10+ years experience supporting a data initiative
        • -
        • Bachelor degree in Computer Science, Engineering, Technology or related field
        • -
        • Database development, querying and analysis tools and languages such as SQL, Oracle, Python, Data Visualization, Tableau etc
        • -
        • Passion for data, and commitment to learn new data capabilities
        • -
        • Knowledge of data governance and data management concepts such as critical data elements, data lineage, data accuracy and completeness and data controls
        • -
        • Understanding of technical data concepts such as data ingestion, data warehouse, data lakes, master reference data, data models, systems of record, aggregation layer and reporting systems
        • -
        • Experience with using Jira and Confluence
        • -
        • Excellent business communication skills (written and oral).
        • -
        • Ability to work independently and possess strong analytical and data problem-solving skills
        • -
        • Strong collaboration and relationship management skills
        • -
        • Effective time management and organizational skills to meet tight timeframes, as well as flexibility to adapt to changing priorities while assessing impact to existing work
        • -
        +

        Of the required experience, must have 2 years of experience in all of the following:

        -

        What\'s in It for You?

        -

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

          -
        • Positive work culture emphasizing diversity and inclusion, volunteerism and community involvement
        • -
        • A comprehensive Total Rewards Program including great benefits, annual incentive program and recognition
        • -
        • Leaders who support your development
        • -
        • A dynamic, collaborative, and high-performing team
        • -
        • Opportunities to do challenging work and grow your career
        • +
        • Experience in conducting testing or application of probability theory and statistics, stochastic calculus and differential equations, including normal distribution characteristics, error-
          correction models, orthogonal multivariate regression, vector auto-regression models, integration and Taylor series expansion.
        • +
        • Experience in conducting statistical tests to analyze goodness of fit of stochastic models, including Shapiro Wilk test, Durbin Watson test, Rainbow test, VIF test, Breush-Pagan test, ADF test.
        • +
        • Experience in CCAR stress test methodology development, including scenario expansion models and Market RWA projection models.
        • +
        • Experience in developing VaR and Stress VaR methodologies for Agency MBS, CLO, ABS, CMBS, Corporate bonds, Municipal bonds, government bonds.
        • +
        • Experience in conducting model testings, including correlation analysis, sensitivity analysis, stress testing and backtesting for VaR and Stress VaR models.
        • +
        • Experience in developing computer program for statistical analysis or CCAR stress testing and VaR model testing using R, Python, SQL, VBA, Tableau and Polypaths.
        • +
        • Experience in writing model documentation that meets regulatory expectations with SR-11-7 guidelines published by the Fed, and presentations for senior management (MD or VP level).
        • +
        • Experience in interaction with internal validation team, internal audit team or external regulators in resolving issues for models.
        -

        Work-life integration

        +

        Certification: FRM, CFA (at least level I)
        Telecommuting: telecommuting permitted up to 40%
        Travel: International travel required up to 5%; Domestic travel required up to 5%

        +


        Any suitable combination of education, training, or experience is acceptable.

        +

        The base salary for this job is $126,100 per year. This salary does not include other elements of total compensation, including a discretionary bonus and benefits such as a 401(k) program with company-matching contributions; health, dental, vision, life and disability insurance; and paid time-off plan.

        -

        Job Summary

        RBC Capital Markets is undertaking a green field project to build a new capability to serve corporate clients.

        Your role will be to use your deep knowledge of data, combined with your understanding of client and business needs to create the business context to bring our data to life for the US Cash Management team and clients alike. You are a thoughtful, proactive, creative, analytical individual with a passion for solving problems for your colleagues and clients through the use of data.

        Address:

        TORONTO, Ontario, Canada

        City:

        CAN-ON-TORONTO

        Country:

        Canada

        Work hours/week:

        37.5

        Employment Type:

        Full time

        Platform:

        Capital Markets

        Job Type:

        Regular

        Pay Type:

        Salaried

        Posted Date:

        2023-05-31

        Application Deadline:

        2023-06-06
        +

        RBC’s compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that:

        +

        · Drives RBC’s high performance culture

        +

        · Enables collective achievement of our strategic goals

        +

        · Generates sustainable shareholder returns and above market shareholder value

        +

        +

        TO APPLY: Please click the “Apply” button.

        +

        +

        +

        +

        Job Summary

        +

        Address:

        Jersey City, New Jersey, United States of America

        City:

        USA-NJ-JERSEY CITY

        Country:

        United States of America

        Work hours/week:

        40

        Employment Type:

        Full time

        Platform:

        Group Risk Management

        Job Type:

        Regular

        Pay Type:

        Salaried

        Posted Date:

        2023-06-22

        Application Deadline:

        +

        Inclusion and Equal Opportunity Employment

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

        Join our Talent Community

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

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

        -
        ",,https://jobs.rbc.com/ca/en/job/R-0000060683/Director-Data-Strategy-and-Governance,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-07-23T01:51:02.151Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/238638891-director-data-strategy-and-governance-at-rbc,,draft,2023-06-23T01:51:02.122Z,import-xml-feed:RBC-Job-Feed,,,,,,, -52ed7fdb-2b9a-48b2-a358-7343289242a4,237206032,Magna International,Internal Auditor,on_site,"Aurora, ONTARIO, CA, L4G 0G9",2023-06-17T16:04:03.585Z,"
        +
        ",,https://jobs.rbc.com/ca/en/job/R-0000062644/Associate-Director-Quantitative-Methodology,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-08-17T01:51:02.244Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/247783052-associate-director-quantitative-methodology-at-rbc,,draft,2023-07-18T01:51:02.235Z,import-xml-feed:RBC-Job-Feed,,,,,,, +7f48348c-a934-40cf-bbe3-ad4272d0babd,239887384,Magna International,Accounting Clerk,on_site,"Brampton, ONTARIO, CA, L6R 0A9",2023-06-26T16:04:01.655Z,"

        Role Summary

        -
        -

        -

        The Auditor performs independent audits on all aspects of Magna’s operations as contained in our Internal Audit Charter to ensure that established policies and procedures are followed, and operational and financial standards are met.

        +

        Promatek is seeking a high-energy, accounting and finance oriented individual to join the accounting team as an Accounting Clerk. As an Accounting Clerk, s/he will provide day-to-day financial support for the company primarily in the Accounts Payable function and assist with Accounts Receivable. The successful candidate is a self-starter who is detail oriented and will adhere to Magna International’s established policies and procedures in order to maintain the integrity of all financial information.

        +
        +

        Key Qualifications/Requirements

        +
        • Completed post-secondary education with specialization in Accounting or Finance.
        • Minimum 3 to 5 years of experience in Accounts Payable / Accounts Receivable and/or general accounting
        • Detail oriented individual with excellent technical and analytical skills.
        • Excellent organizational and communication skills
        • Demonstrate ability to work effectively within team environment and independently
        • Demonstrate strong interpersonal skills
        • Demonstrate self-motivation and determination attributes
        • Computer literacy with Microsoft Office, especially Excel (Intermediate) and PowerPoint
        • Prior experience with SAP preferred
        • Knowledge of the automotive environment considered an asset
        • Valid Passport and Driver’s License
        • +

        Key Responsibilities

        -

        -
        • Performs financial, compliance & other audit activities of business units within specified time periods
        • Prepares audit files and pre-audit work, including audit communications with Auditees
        • Documents work performed to department standards and IIA Professional Practice standards and provides support for an informed, objective opinion of risk
        • Evaluates audit results to determine the quality and effectiveness of internal operating policies, internal controls, regulatory requirements, administrative procedures & reporting practices
        • Proactively identifies risks or gaps in internal controls and provides recommendations to mitigate risks and improve internal controls
        • Identifies opportunities to improve business processes
        • Reports audit findings and recommendations to management. Drafts formal, clearly written and meaningful audit reports summarizing findings, conclusions and recommendations
        • Follows up with stakeholders on any recommendations or corrective actions to internal or external audits to ensure continued process improvement & compliance, when required
        • May provide assistance in performance of investigations of improper activities including potential fraud matters
        • Self-develops skills & experience in relevant audit specialities
        • Other Duties, as may be assigned from time to time by Internal Audit department management
        • +

          Daily Accounts Payable Activities:

          +
          • Processes A/P invoices by matching invoicing with packing slips and purchase orders and analyzing invoicing/expenses detail to ensure expenses are charged to the appropriate cost centres/GL account/Project Numbers
          • Ensures appropriate purchase order support and invoicing sign-off is obtained to facilitate vendor payment
          • Process and administer EFTs, ACH, wire transfers and manual cheque releases to supplier payments
          • Investigate and problem solve invoice discrepancies/ respond to supplier inquiries in a timely manner
          • Responsible for the accuracy, approval and processing of all expense reports.
          • Perform reconciliation of Accounts Payables and Open POs by verifying entries and comparing system reports to balances
          • Participates in the overall month-end close process such as intercompany balancing and preparing month-end accruals
          • Liaise with suppliers and other Promatek departments as needed
          • Assist the Controller with Internal & External Audit
          • Support with year-end process and activities
          • +
          +

          Accounts Receivable:

          +
          • Cross training and support in all A/R functions including cash receipts processing, bank deposits, posting cheques, investigating discrepancies and issuing debit/credit memos – back-up and assist in month end A/R processes including intercompany reconciliation’s, HST Reconciliation, reports and analysis – assist and support collection efforts.
          • Assist the Controller with invoicing when required
          • +
          +

          Other Responsibilities:

          +
          • Create new Vendor Accounts when required and perform validity checks
          • Convert Purchase Requisitions into POs and ensure correct GLs and Project Numbers are used
          • Monitor, maintain and improve on internal controls by adhering to Magna’s Minimum Control Procedures
          • Understand and assist with the Capital Expenditure Process
          • Assist with Travel reservations
          • Responsible for filing and archiving Business and Accounting files
          • General Admin office tasks
          • Assist all employees with finance requirements.
          • Perform any other duties as required
        -

        Key Qualifications/Requirements

        +

        Additional Information

        +

        GENERAL EXPECTATIONS:

        +
        • Continuously adhere to and apply the Magna Employee’s Charter, the Magna Corporate Constitution, and the Cosma Way of Thinking in all aspects of position and interaction with others.
        • Appreciate and maintain proper level of confidentiality.
        • Understand, promote and work by Promatek’s vision statement.
        • Work in a safe, organized, effective, efficient and proactive manner.
        • Travel may be required occasionally. Note: some of the travel may be outside North America.
        • Demonstrates ability to work effectively within a team environment.
        • +
        +

        WORKING CONDITIONS:

        +
        • Office Environment
        • +

        -

        Knowledge and Education

        +
        +
        +
        ",,https://jobs.magna.com/job/Accounting-Clerk/569097317/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-26T16:04:01.656Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/239887384-accounting-clerk-at-magna-international,https://jobs.magna.com/job/Accounting-Clerk/569097317/,draft,2023-06-26T16:04:01.655Z,import-xml-feed:Scrapy-Scraper,,,,,,, +921e5f4a-5cdf-41cf-8c85-9b3e32756490,237205972,Scotiabank,"Manager, Reporting & Analytics (Global Finance)",on_site,Canada : Ontario : Toronto,2023-06-17T15:52:04.058Z,"

        -
        • A University degree in business or information systems is required
        • CPA or CIA designation
        • Additionally, CISA or CFE designations are considered an asset
        • -

        -

        Work Experience

        -
        • Minimum of three years of financial, operational and compliance (including Sarbanes-Oxley) audit experience in a manufacturing environment, preferably in the automotive sector
        • +

          Requisition ID: 177245

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

          +

          +

          Hiring Details:

          +
          • Primary Manager: Senior Manager, Expense Reporting & Analytics
          • Direct Reports: N/A
          • +
          +

          +

          Job Purpose:

          +

          Global Finance - Reporting, Canadian Banking (CB) is a divisional finance function providing financial management and analytical support to Canadian Banking executive management, as well as to the business line management in Retail Banking, Business Banking, and Tangerine areas.

          +

          The Manager is a member of the Expense Reporting & Analysis (ERA) team reporting to the Senior Manager, Expense Reporting and Analysis. ERA is a critical function for the Canadian Banking division and has the responsibility for ensuring effective expense management and optimization of business investments with Canadian Banking’s strategic priorities.

          +

          The Manager has responsibility for the accurate, comprehensive and timely preparation and financial information of CB's monthly and quarterly results, ensuring accurate, comprehensive and timely delivery of reporting and analysis from both statutory and business line perspective, for use in BNS executive and senior management reporting and decision-making.

          +

          Contributes to the overall success of Global Finance – Reporting ensuring specific individual goals, plans, initiatives are executed and delivered in support of business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures

          +

          +

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

          +
          • +Assist with the preparation of quarterly and monthly reporting on assigned Canadian Banking statutory and business line expenses in support of Blue Book deliverables:
            • Coordination and collection of financial data from business units.
            • Perform reasonability review of statutory expense reporting.
            • Review, analyze and prepare statutory journal entries, ensuring accuracy and completeness.
            • Perform analysis of various variances between actual expenses for Canadian Banking direct units and support groups to ensure accuracy and completeness and understandings of significant transactions.
            • Develop product group subject matter expertise including direct unit allocations to external partners.
            • Communicate with individuals in various business units during monthly close and on an ongoing basis.
            • Respond to queries from senior management and participate in the investigation and resolution of reporting issues.
          • +Support Senior Manager in efforts to enhance expense reporting and analytical processes:
            • Co-ordinate processes with other Manager Expense Reporting and assist with leading Senior Analyst.
            • Assist with the annual business line rule set up and chart of account (COFA) management processes
            • Identify issues and make recommendations with a focus on process improvement
          • As required perform adhoc, value added analysis in support of assigned Canadian Banking distribution channels and Product team relationships.
          • Act as a prime liaison with assigned CB units while building strategic relationships to provide support.
          • Provides coaching and training to colleagues and business partners on processes.
          -


          Skills and Competencies

          -
          • Ability to communicate with stakeholders in a professional and confidential manner while maintaining composure and tactfulness in stressful and potentially adversarial situations
          • Excellent written and oral communication skills in English
          • Strong problem-solving and analytical skills
          • Proficient with Microsoft Office products; including advanced Excel skills
          • Good working knowledge of SAP R/3 or SAP S/4 HANA and familiarity with other ERP solutions such as QAD, CMS and Trans4M would be an asset
          • +

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

            +
            • Solid business acumen and strong analytical and problem-solving skills.
            • Strong oral and written communication skills and the ability to work effectively in a team and ability to communicate with individuals at different levels and a variety of skill-sets and organizational perspectives.
            • High proficiency with computer applications including Microsoft Excel, Word, PowerPoint, OBI/Smartview and any other financial tools.
            • A solid understanding of financial and management reporting principles. Knowledgeable of the Bank’s products, operations and procedures.
            • A good understanding of elements of effective control over integrity and completeness of financial reporting.
            • Highly flexible, detail-oriented, and able to cope with changing priorities and to multi-task under tight deadlines and deliver with a great amount of accuracy and completeness.
            • Excellent attention to details and time management skills.
            • Knowledge of financial accounting and generally accepted accounting principles.
            • Post-secondary degree in Finance or Accounting with minimum 5 to 7 years of relevant experience. Completion or enrollment in an accounting program is preferred (i.e. CPA, MBA)
            -


            Work Environment

            -
            • Travel should be expected 75% of the time, with possible travel changes due to unplanned demands. Approximately 25-50% of this should be expected to be overnight travel depending on season. Ability to travel in the U.S. and eligibility to obtain a U.S. work visa will be a requirement.
            • +

              What’s in it for you?

              +
              • An inclusive & collaborative working environment that encourages creativity, curiosity, and celebrates success!
              • We offer a competitive rewards package: Performance bonus, Employee Share Ownership Program, and Pension Plan Matching, Health Benefits from day one!
              • Your career matters! You will have access to career development and progression opportunities.
              +

              +

              #scotiafinancejobs

              +

              +

              Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/Manager%2C-Reporting-&-Analytics-%28Global-Finance%29/569782217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-03T15:57:04.998Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/237205972-manager-reporting-analytics-global-finance-at-scotiabank,https://jobs.scotiabank.com/job/Manager%2C-Reporting-&-Analytics-%28Global-Finance%29/569782217/,draft,2023-06-17T15:52:04.058Z,import-xml-feed:Scotiabank,,,,,,, +24a1ebb1-8815-4ad5-adec-c503ba9fdd0d,238529795,TD Bank Group,Sr Business Analyst HR Support Application,on_site,"Toronto, ON",2023-06-22T15:53:04.467Z,"
        +

        Company Overview

        +
        +

        Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

        +

        Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

        +

        +

        Department Overview

        +
        +

        What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

        +

        We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

        -
        -

        Additional Information

        -
        +

        +

        Job Description

        +
        +

        +

        About this Role

        +

        As an expert in data and analytics, you will provide in depth expertise, analytical interpretation, key insights and action items to your multi-functional business partners across the organization. Those insights will be brought to bear to enable informed and enabled business decisions enterprise wide or help to solve the increasingly complex business problems they face.

        +

        In this role, TD will look to as a thought leadership as well as a leader in your space, coaching, mentoring, empowering and educating your peers to collaborate and bring TD into the future of banking.

        +

        +

        As a Senior Business Insights Analyst, you will:

        +
          +
        • Apply understanding of respective business strategies to produce relevant and substantial data analysis to support business goals and objectives
        • +
        • Develop analysis to illustrate business trends and identify areas of business opportunities
        • +
        • Produce insights and recommend business actions to align with strategy and/or solve business problems
        • +
        • Provide seasoned specialized knowledge, advice and/or mentorship to various business and working partners
        • +
        • Execute on data requests accurately and within a timely manner
        • +
        • Represent functional area as an analytics & insights professional and key resource; build positive and productive working partnerships
        • +
        • Act as a bridge to translate business requirements to analytics and reporting needs for a given domain
        • +
        • Provides day-to-day support and delivery of analytics
        • +
        • Work independently as the senior analyst/subject matter expert and may coach and educate others
        • +
        • Considered an authority within a given area
        • +
        • Oversee and/or independently perform tasks from end to end
        • +
        +
        +

        +

        Requirements

        +
        +What can you bring to TD?
        Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

        +
          +
        • Undergraduate degree or technical certificate
        • +
        • Three to Five (3-5) or more years relevant experience
        • +
        • Experience working on PeopleSoft
        • +
        • Experience with Workday or similar HR CRM system
        • +
        • SQL
        • +
        +
        +

        +

        Additional Information

        +
        #LI-Hybrid
        +

        +

        Flexible Work Options

        +
        N/A
        +

        +

        Hours

        +
        37.5
        +

        +

        Inclusiveness

        +

        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

        +

        +
        ",,https://jobs.td.com/en-CA/jobs/18622456/sr-business-analyst-hr-support-application-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-07-10T15:58:01.918Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/238529795-sr-business-analyst-hr-support-application-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18622456/sr-business-analyst-hr-support-application-toronto-ca/,draft,2023-06-22T15:53:04.467Z,import-xml-feed:TD-Bank-Group---Job,,,,,,, +2da8eebd-1848-467c-8a4d-4a38c0e1f664,238639066,Vector Institute,Events Manager (Contract - 15 months),on_site,"Ontario, Canada",2023-06-23T02:12:07.299Z,"
        +

        JOB DESCRIPTION

        +

        Events Manager

        +

        +

        POSITION SUMMARY

        +

        +

        Events Manager

        +

        Reporting to the Director of Community Engagement & Events, the Events Manager will provide leadership and support in the tracking, planning, coordination, execution, and evaluation of events hosted by the Vector Institute and its community partners.

        +

        The incumbent in this role will be responsible for the day-to-day management, design, and implementation of a diverse portfolio of events serving our programs and operations.

        +

        The Events Manager will also work with internal and external stakeholders and serve as a primary point of contact for event guests, speakers, and partners.

        +

        +

        KEY RESPONSIBILITIES:

        +
          +
        • Manage and execute a diverse portfolio of events, ranging from small local events to large conferences of 500+ attendees, with excellence, working with a variety of vendors, suppliers, venues and agency partners and colleagues, as required. The portfolio could include program-related events, meetings, hospitality events, large conferences (500+ attendees), and other custom events;
        • +
        • Provide event-related client services to internal program leads: Manage all event delivery elements related to event planning, budgeting, design, and production, including A/V, staging and event decor, venue and location sourcing, catering, travel and transportation, contract negotiation, and budget creation/management;
        • +
        • Produce event briefs and objectives in addition to maintaining a centralized events calendar to manage resources (including delegation and escalation as necessary) and provide strategic advice related to hosting, partnering, sponsoring, or participating in key events, and delivering content that meets the strategic objectives of the Vector Institute;
        • +
        • Support the Director, Community Engagement & Events in overall programming strategy for the annual events calendar;
        • +
        • Support the Director, Community Engagement & Events with suggesting topics and speakers for events as needed;
        • +
        • Coordinate Vector’s participation in third-party events and support for relevant community events;
        • +
        • Adhere to all defined Vector Institute processes and policies, including sponsorship, accounting, procurement, and HR-driven requirements;
        • +
        • Establish standard formats and processes for recurring events and produce all required event materials and documentation (checklists, templates, event bibles, budgets, work-back schedules, etc.) while ensuring brand consistency across all Vector events;
        • +
        • Liaise and communicate critical event details and logistics with guests, sponsors, and speakers to identify their needs and to ensure a quality customer experience;
        • +
        • Work with communications team to design and develop promotional materials, branding, digital content, and information packages;
        • +
        • Serve as a point person managing responses to incoming questions and information requests from event participants;
        • +
        • Maintain up-to-date and accurate attendee and guest lists to ensure appropriate levels of correspondence;
        • +
        • Proactively handle emerging issues and troubleshoot problems on the event day;
        • +
        • Manage event closeout activities including conducting post-event evaluations, coordinating processing of invoices and expense claim payments;
        • +
        • Report on quantitative metrics and work with program leads to coordinate the collection of qualitative metrics and post event reporting (e.g., via MailChimp or survey monkey); and,
        • +
        • Foster productive and collaborative relationships with strategic partners.
        • +
        +


        +

        SUCCESS MEASURES

        +
          +
        • Quantitative and qualitative event metrics demonstrate impact and meaningful delivery against the strategic objectives of the Vector Institute;
        • +
        • Participants (speakers, guests, sponsors, stakeholders) are aware of and receive all necessary details and information pertaining to their attendance in a timely manner;
        • +
        • Events are planned in advance, and delivered within budget with seamless, professional, and consistent execution; and,
        • +
        • Speakers, guests, and stakeholders provide positive feedback on their experience after the event.
        • +
        +


        +

        PROFILE OF THE IDEAL CANDIDATE

        +
          +
        • 5+ years of experience in events management, event production, and/or experiential marketing;
        • +
        • Ability to understand strategic objectives of the organization and manage, design and execute events to maximize delivery against those objectives;
        • +
        • Excellent customer service and can-do attitude;
        • +
        • Not-for-profit or innovation experience is considered an asset;
        • +
        • Excellent communication, organizational, and creative thinking skills;
        • +
        • Ability to work well independently on several projects concurrently and maintain focus and professionalism in high pressure environments;
        • +
        • Excellent interpersonal skills are required, with an ability to work successfully with various organizational levels, whether that be with colleagues, senior executives, customers, or partners;
        • +
        • Software proficiency in Microsoft Office, Google Docs, Eventbrite and MailChimp is required; knowledge and experience with website content management (e.g., WordPress) and CRMs is an asset;
        • +
        • Experience with virtual and hybrid platforms required.
        • +
        • Demonstrated flexibility and professionalism coupled with sound judgment; flexible, discreet and able to maintain confidential information, knowledge of appropriate protocol for various situations;
        • +
        • Post-secondary diploma, preference for post-secondary degree, in a related field; and,
        • +
        • Willingness to travel on occasion.
        • +
        +

        +
        +
        ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=19000101_000001&jobId=448936&lang=en_CA&source=CC2&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2023-07-23T02:12:07.330Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/238639066-events-manager-contract-15-months-at-vector-institute,,draft,2023-06-23T02:12:07.299Z,import-xml-feed:Vector-Institute-Job,,,,,,, +63c5c2aa-d5d3-40b3-b8b1-d27b47a3f91c,243861006,Scotiabank,"Senior Manager, Strategic Projects",on_site,Canada : Ontario : Toronto,2023-07-06T15:52:04.245Z,"

        +

        +

        +

        +

        Requisition ID: 180865

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

        +

        +

        Purpose

        +

        Scotiabank is seeking a Senior Manager to join the GRM Strategic Initiatives team in implementing innovative credit solutions that support Global Risk Management (GRM) and multiple Business Banking units including Global Banking & Markets. The Senior Manager will join a dynamic team responsible for the automation and digital transformation of GRM processes and data collection within the credit adjudication phase of the customer lifecycle. The Senior Manager will be a change agent, required to develop strong working relationships with various partners across the organization and to interact with various levels of decision makers to champion the mandate of the team.

        +

        +

        What will you do in this role?

        +

        •Establish strong working relationships with business stakeholders (Banking and Credit), technology partners and other functions (Audit, Enterprise Reporting, Finance, Data Governance)

        +

        •Engage business stakeholders to understand and document current state processes and data needs

        +

        •Apply strategic and critical thinking to recommend future state end-to-end processes and optimal user experience for technology solutions that meet business requirements, resolve current challenges and drive innovation

        +

        •Support project governance by chairing meetings with delegated individuals from various business lines and functions to socialize recommendations

        +

        •Create transparency and foster accountability with stakeholders to support successful project implementation

        +

        •Complete data profiling to support documentation of business rules and solution design

        +

        •Document business requirements for validation with Business Leads and SMEs

        +

        •Collaborate with Technology Lead to identify optimal digital solutions

        +

        •Assess impact of digital solutions on business processes

        +

        •Perform or coordinate business testing (BAT and UAT) of new releases and prepare report for review by Business Lead(s)

        +

        •Support change management activities (documentation, communication and product demos)

        +

        •Identify opportunities to optimize processes and expedite adjudication, while enriching data used for reporting, analytics and capital purposes

        +

        •Maintain and contribute to the prioritization of user feedback and defect logs

        +

        •Escalate issues to Business Lead(s) for resolution as applicable

        +

        •Complete other related duties as assigned, including problem solving complex issues

        +

        +

        Do you have the skills that will enable you to succeed?

        +

        •Undergraduate degree (or higher) in technical field such as computer science or business degree with diverse project experience

        +

        •5+ years of experience in financial services and risk management projects primarily in business analysis

        +

        •Experience implementing new, large scale risk management solution(s)

        +

        •Experience with different solution delivery approaches (i.e. waterfall, agile)

        +

        •Strong analytical and problem-solving skills, with ability to recommend innovative solutions

        +

        •Detailed-oriented with proven ability to gather, document and articulate complex requirements, process and data flows

        +

        •Excellent communication (written and verbal), presentation and collaboration skills, with ability to interact with all levels of the organization

        +

        •Strong relationship management, influencing and negotiation skills

        +

        •Operates effectively in a fast-paced, dynamic environment with tight deadlines and changing priorities

        +

        •Proficient in MS Excel & PowerPoint tools

        +

        •Knowledge of Business Banking processes, policies and guidelines will be an asset

        +

        •Familiarity with Business Banking credit and limit monitoring systems will be an asset

        +

        +

        Working Conditions:

        +

        Currently working in a hybrid remote work/standard office-based environment. In the normal course, will work in a standard office-based environment; non-standard hours are a common occurrence.

        +

        Travel between multiple downtown offices is expected.

        +

        +

        Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Strategic-Projects-ON-M5H1H1/571918817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-13T15:57:03.013Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243861006-senior-manager-strategic-projects-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Strategic-Projects-ON-M5H1H1/571918817/,draft,2023-07-06T15:52:04.245Z,import-xml-feed:Scotiabank,,,,,,, +44c6d18e-46e9-411d-8c05-be7413ca8745,243861189,TD Bank Group,"Senior Data & Reporting Analyst, Advice Journeys and Segment Strategy",on_site,"Toronto, ON",2023-07-06T15:53:03.696Z,"
        +

        Company Overview

        +
        +

        Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

        +

        Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

        +
        +

        +

        Job Description

        +
        +

        CUSTOMER
        • Apply understanding of respective business strategies to produce relevant and meaningful data analysis and materials to support the creation and maturation of business goals and objectives
        • Develop analysis and proper dashboards to illustrate business trends and identify areas of business opportunities
        • Produce insights and recommend business actions to support business strategy and/or solve business problems
        • Work in partnership with various functional areas to provide day-to-day support and delivery of analytics
        • Execute on data requests accurately and within a timely manner
        • Represent functional area as an analytics & insights professional and key resource
        • Act as a bridge to translate business requirements to analytics and reporting needs for a given domain while leveraging tools/ techniques/ methods that can be easily interpreted by the target audience
        • Contribute to the identification of key performance indicators

        +

        SHAREHOLDER
        • Identify opportunities for business/revenue growth and/or efficiencies for an assigned segment strategy, advice journey, business or function
        • Identify and investigate data/analytics related issues
        • Ensure data analysis and insights are reviewed by management to validate accuracy and minimize any potential errors
        • Develop analysis to corroborate initial proof of concept
        • May be required to educate/train business users on how to integrate analytics into decisions
        • Provide recommendations on financial / monetization goals to deliver on (e.g. quantify functional value, cost savings and revenue generated etc.)
        • Build business requirements and facilitate project execution to develop insights
        • Utilize both quantitative and qualitative methodologies to interpret and present data effectively and clearly

        +

        EMPLOYEE / TEAM
        • Continuously enhance knowledge /expertise in own area and keep current on emerging trends /developments and grow knowledge of the business, N.E.W, priority segments, analytical tools and techniques
        • Prioritize and manage own workload to deliver quality results and meet assigned timelines
        • Support a positive work environment that promotes service to the business, quality, innovation, and teamwork; ensure timely communication of issues/ points of interest
        • Establish effective relationships across multiple business and technology partners, program, and project managers
        • Participate in knowledge transfer within the team and other business units, including participation in cross-functional groups or committees (e.g., Data Councils)

        +

        BREADTH & DEPTH
        • Work independently as the senior analyst / subject matter expert and may coach and educate others
        • Considered a subject matter expert within a given area
        • Oversee and/or independently perform tasks from end to end
        • Focus on short to medium -term issues (e.g. monthly-quarterly)

        +
        +

        +

        Requirements

        +
        EXPERIENCE & EDUCATION
        • Undergraduate degree or technical certificate
        • 2+ year of reporting (SSRS) and database query experience
        +

        +

        Hours

        +
        37.5
        +

        +

        Inclusiveness

        +

        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

        +

        +
        ",,https://jobs.td.com/en-CA/jobs/18697665/senior-data-reporting-analyst-advice-journeys-and-segment-strategy-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-07-10T15:58:01.918Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/243861189-senior-data-reporting-analyst-advice-journeys-and-segment-strategy-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18697665/senior-data-reporting-analyst-advice-journeys-and-segment-strategy-toronto-ca/,draft,2023-07-06T15:53:03.696Z,import-xml-feed:TD-Bank-Group---Job,,,,,,, +1b9d657f-80da-42d1-9261-64dbb6d35471,242607506,Scotiabank,GCP Cloud Engineer - CID&A,on_site,Canada : Ontario : Toronto,2023-07-03T15:52:04.099Z,"

        -

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

        -

        Special Requirements

        -

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

        +

        Requisition ID: 180558

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

        +

        +

        Purpose:

        +

        +

        In partnership with the Customer Insights Data and Analytics teams and our IT partners the Data and Analytics Technology team supports the banks Data and Analytics needs with tooling, projects and IT operational support.

        +


        Accountabilities:

        +

        +

        The Terraform Engineer role will be responsible for infrastructure designing, developing, monitoring, and troubleshooting bank wide initiatives support by Data and Analytics Technology. This consists of infrastructure building, integration, process automation, and delivery of new projects.

        +

        +

        • Design, implement and maintain Google cloud infrastructure with IAC tools like Terraform.
        • Implement Google best practices to secure managed services for Data and Analytics workloads like GCS, BigQuery, Vertex AI notebooks, Cloud composer, Dataproc, etc.
        • Develop and maintain automation pipelines to securely build and deploy applications and GCP infrastructure.
        • Create monitoring dashboards and alerts to facilitate operational oversight of the entire platform.
        • Collaborate with various enterprise security and business applications team to define and implement cloud architecture and best practices on GCP.
        • Stay up to date on GCP best practices and recommend improvement to the existing platform to streamline development or address new security concerns.
        • Participate in on-call rotation for resolving critical incidents with the GCP infrastructure or deployed applications.

        +

        +


        Requirements & Qualifications:

        +

        +

        • DevOps engineer certification or terraform associate certificate preferred
        • Proficient in Terraform
        • Previous experience with GCP or other cloud platforms
        • Functional knowledge of Python and Java
        • Experience with DBT (Optional)
        • Team player with strong communication skills (verbal and written)
        • Able to see tasks through to completion without significant guidance
        • Self-managed and results-oriented with sense of ownership is required
        • A university degree in Mathematics, Science, Engineering, Management or relevant.

        +


        +

        +

        Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/GCP-Cloud-Engineer-CID&A/571687017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-02T15:52:04.109Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/242607506-gcp-cloud-engineer-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/GCP-Cloud-Engineer-CID&A/571687017/,draft,2023-07-03T15:52:04.099Z,import-xml-feed:Scotiabank,,,,,,, +65ab1c33-30f3-4149-af28-e68472716ab3,242608270,Magna International,IT Systems Analyst,on_site,"Newmarket, ONTARIO, CA, L3X 2S2",2023-07-03T16:04:03.993Z,"
        +
        +

        Role Summary

        +
        +

        Afternoon Shift: 3:00 PM - 11:30 PM

        +

        Under the direction of the IT Manager, responsible for ensuring that MES related services and procedures are implemented, maintained, and properly executed.
        This role must have a good understanding of production processes, IT infrastructure as well as a close collaboration with other departments. Able to propose and develop applications, reporting dashboards to advance the business.

        -
        ",,https://jobs.magna.com/job/Internal-Auditor/554403817/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-17T16:04:03.585Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206032-internal-auditor-at-magna-international,https://jobs.magna.com/job/Internal-Auditor/554403817/,draft,2023-06-17T16:04:03.585Z,import-xml-feed:Scrapy-Scraper,,,,,,, -3cdebeb7-c4c9-499c-a0e3-457207ce56bc,239939847,RBC,"Lead Data Scientist, Fraud Data Science and Innovation",on_site,"Toronto, ON, Canada",2023-06-27T01:51:02.868Z,"
        +
        +

        Key Responsibilities

        +

        • Offer 1st Level support for all MES processes, PC, printer and other IT related issues.
        • Develop and maintain MES training materials, train and support users.
        • Troubleshoot MES-related issues alongside Controls, Production, Quality and any other departments.
        • System monitoring (business processes, interfaces and solutions).
        • Maintain and update the Know-how database.
        • Implement and support reporting dashboards as required thru Solidat reporting, PowerBI, or SQL reporting services.
        • Should be familiar with PowerApps, Power BI and Power Automate for application development.
        • Application and data integration from various sources like MS SQL, Azure etc.
        • Must be able to work in a fast-paced dynamic environment with constantly changing demands.
        • Other duties as assigned by a supervisor or Manager
        • Maintaining and operating service desk ticketing system.
        • Employ best practices using ITIL foundational requirements.

        +
        +
        +

        Key Qualifications/Requirements

        +

        • Minimum of a Post-Secondary Education in a Computer Science or Computer Programming/Analyst Program
        • Preferred 1-3 years’ experience in Information Systems with a strong manufacturing background, preferably in automotive parts industry.
        • Experience with MES standards and MES software preferred.
        • Good knowledge of relational Databases (SQL Server, TSQL) required
        • Good knowledge of Microsoft technologies (Microsoft Server, .NET, C#) required.
        • Strong communication and analytical skills, problem solving & interpersonal skills.
        • Ability and willingness to quickly learn on the job.
        • Works well alone and while managing groups.
        • Ability to work flexible hours when required.
        • Strong customer service orientation.
        • ITIL v2 certificate an asset
        • Able to demonstrate excellent oral and written communication skills
        • Ability to meet deadlines and multitask an asset

        +
        +
        +

        Additional Information

        +

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

        +
        +
        +

        Awareness. Unity. Empowerment.

        +
        +

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

        +

        +

        #LI-NM1

        +
        +
        +
        ",,https://jobs.magna.com/job/IT-Systems-Analyst/571760517/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-08-02T16:04:03.993Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/242608270-it-systems-analyst-at-magna-international,https://jobs.magna.com/job/IT-Systems-Analyst/571760517/,draft,2023-07-03T16:04:03.993Z,import-xml-feed:Scrapy-Scraper,,,,,,, +dbbfa443-d165-419c-a80b-00e0aa013ce0,243216692,RBC,"Sr. Manager, Risk Management",on_site,"Toronto, ON, Canada",2023-07-05T01:51:03.940Z,"

        Come Work with Us!

        At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

        Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

        -

        Job Title

        Lead Data Scientist, Fraud Data Science and Innovation

        +

        Job Title

        Sr. Manager, Risk Management

        Job Description

        -

        What\'s the opportunity?

        -

        You will lead Fraud Management(FM) Machine Learning(ML) and Artificial Intelligence(AI) advancements, develop strategy for predictive fraud detection ML models and explore ML/AI technique application. You will set standards for ML model development, ensuring consistency, accuracy and repeatability, collaborate with partners and work with Fraud Strategy, Fraud IT and Enterprise Model Risk Management(EMRM) on emerging fraud risks, solution design and model validation frameworks. You will fully comprehend the technical architecture supporting the Fraud decisioning ecosystem and how it supports DSA detection requirements. As a Subject Matter Expert (SME) on FM initiatives, you will collaborate with stakeholders at varying levels of seniority.

        +

        What is the opportunity?

        +

        RBC Global Asset Management (GAM) is the asset management division of the Royal Bank of Canada. The RBC GAM group of companies manages more than CAD 550 billion in assets under management with investment teams located across Canada, the U.S., Europe and Asia.

        The RBC GAM Risk Management team provides independent oversight of RBC GAM’s investment activities across public and private markets. The risk team is responsible for risk measurement and monitoring, risk policy and governance, providing effective challenge to investment teams, and helping to establish risk appetite. Our stakeholders include RBC GAM clients, investment teams, regulators, and RBC GAM leaders.

        The successful candidate will be a key contributor to the RBC GAM Risk Management team with responsibilities described in the following sections. For further information, please visit: https://www.rbcgam.com/en/ca/

        What will you do?

          -
        • Lead the development and implementation of the Data Science Machine Learning (ML) strategy and act as key point of contact for all ML models
        • -
        • Develop supervised fraud detection models and explore opportunities for unsupervised/anomaly detection/NLP applications
        • -
        • Plan timelines, resource allocation, standards and best practices for ML model development with DS&I and be responsible for technical validation exercises for new model deployments
        • -
        • Collaborate effectively with partners in Fraud IT on continuous improvement of the fraud detection ecosystem, understanding the technical requirements and their impact on the business users in DSA
        • -
        • Work with EMRM to enable efficient model validation and develop a strong relationship with Fraud Strategy partners focused on identifying emerging fraud risks and how the application of ML can minimize these risks
        • -
        • Identify opportunities and develop solutions to automate/enhance processes through analytical tools and workflows; and utilize technology tools to build the most effective solution; Python, R, Spark, PySpark, etc.
        • -
        • Provide thought leadership to support Fraud Management’s key priorities where there is a dependence on data analytics, machine learning or data engineering
        • -
        • Leverage expertise with ML and programming to provide support to the rest of the DSA team as required
        • +
        • Research, design, and develop quantitative risk models and analysis tools

        • +
        • Conduct quantitative risk analysis on diverse investment portfolios

        • +
        • Develop and support production risk systems, including data infrastructure, analytics, reporting applications

        • +
        • Design risk metrics and set appropriate risk budgets and limits

        • +
        • Monitor and communicate risks to investment teams and executives

        • +
        • Perform root cause analysis and portfolio diagnostics

        • +
        • Quantitatively and qualitatively assess proposed new products

        • +
        • Conduct firm-level analysis including scenario analysis and stress testing

        -

        What you need to succeed

        -

        Must have:

        +

        What do you need to succeed?

        +

        Must Have

          -
        • 5+ years of experience in Machine Learning, data mining and statistics
        • -
        • Strong practical knowledge of, and proven experience with, analytical software packages and programming languages: Python, R, SQL, etc.
        • -
        • Working knowledge of Big Data Framework (Hadoop, etc.)
        • -
        • Strong understanding of version control (Git/GitHub)
        • -
        • Strong problem solving, research and quantitative skills
        • -
        • Exceptional time management and organizational skills, ability to manage multiple projects simultaneously and prioritize workload effectively
        • -
        • Proven ability to perform complex data analysis on large volumes of data
        • -
        • Professional oral and written communication and presentation skills, including the ability to effectively communicate analytical recommendations to both technical and non-technical audiences.
        • -
        • Knowledge of Canadian banking and payment industry, payments transaction data and financial fraud
        • -
        • Bachelor’s degree in a quantitative discipline
        • +
        • Degree in engineering, physics, mathematics, computer science or other quantitative field

        • +
        • Strong interest in finance including equities, fixed income, derivatives, and risk analysis

        • +
        • Quantitative and technical skills, including experience with regression modelling, factor analysis, MATLAB / R / Python, C / C++ / C# / Java, SQL, Tableau / Power BI or similar tools.

        • +
        • Strong programming and code-debugging experience

        • +
        • Strong interest in data analysis, reporting, and data visualization

        • +
        • Attention to detail and strong written and verbal communication skills.

        -

        Nice to have:

        +

        Nice To Have

          -
        • Graduate degree in a quantitative discipline
        • -
        • Experience with Docker and Kubernetes
        • -
        • Experience with Cloud technologies (Azure, AWS, OpenShift)
        • -
        • Prior experience in fraud detection and data analytics
        • +
        • Advanced degree (ideally PhD) in a quantitative field.

        • +
        • Experience or knowledge in finance and risk management including quantitative analysis and risk analytics.

        • +
        • Working experience with relational databases such as SQL Server and/or Oracle, including database development experience using T-SQL or Python ETL tools / libraries.

        • +
        • Knowledge of the asset management industry.

        • +
        • CFA, FRM or similar.

        What’s in it for you?

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

          -
        • A comprehensive Total Rewards Program
        • -
        • Leaders who support your development
        • -
        • Ability to make a difference and lasting impact
        • -
        • Opportunity to take on progressively greater accountabilities
        • +
        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation

        • +
        • Leaders who support your development through coaching and managing opportunities

        • +
        • Ability to make a difference and lasting impact

        • +
        • Work in a dynamic, collaborative, progressive, and high-performing team

        -

        Job Summary

        -

        Address:

        TORONTO, Ontario, Canada

        City:

        CAN-ON-TORONTO

        Country:

        Canada

        Work hours/week:

        37.5

        Employment Type:

        Full time

        Platform:

        Personal and Commercial Banking

        Job Type:

        Regular

        Pay Type:

        Salaried

        Posted Date:

        2023-06-08

        Application Deadline:

        2023-06-23
        +

        Address:

        TORONTO, Ontario, Canada

        City:

        CAN-ON-TORONTO

        Country:

        Canada

        Work hours/week:

        37.5

        Employment Type:

        Full time

        Platform:

        Wealth Management

        Job Type:

        Regular

        Pay Type:

        Salaried

        Posted Date:

        2023-07-04

        Application Deadline:

        2023-07-19

        Inclusion and Equal Opportunity Employment

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

        Join our Talent Community

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

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

        -
        ",,https://jobs.rbc.com/ca/en/job/R-0000061221/Lead-Data-Scientist-Fraud-Data-Science-and-Innovation,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-07-27T01:51:02.874Z,False,0,2,2,https://talenthub.vectorinstitute.ai/jobs/239939847-lead-data-scientist-fraud-data-science-and-innovation-at-rbc,,draft,2023-06-27T01:51:02.868Z,import-xml-feed:RBC-Job-Feed,,,,,,, -cabb6e42-0da3-4995-b1b8-bdf99b9e02ea,240226730,Scotiabank,"Senior Associate, Research Analytics & Institutional Client Strategy",on_site,Canada : Ontario : Toronto,2023-06-27T15:52:02.423Z,"

        -

        -

        -

        -

        Requisition ID: 174805

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

        -

        -

        About the Team:
        At Scotiabank, research is a key driver of our Global Equity platform. We specialize in the Canadian market, and we also supply targeted international research covering the United States and Latin America. Our top-ranked teams generate value-added equity ideas and themed publications. As well, we are constantly looking for ways to bring new products to market and provide clients with valuable research ideas and insights. Our products include daily company-specific investment views, monthly and quarterly sector updates, in-depth fundamental research reports, portfolio analysis and recommendations, and equity strategy commentary.

        -

        Position Highlights:
        The Research Client Services Team (RCST) is responsible for supporting the Equity Research department by providing valuable internal analytical insights to management and research analysts for strategic decision-making and ensuring adherence to compliance requirements of the MiFID II regulation. As a member of the RCST, this position will assist in maintaining and developing the internal analytics capabilities of the team. This position will also assist with the administration of client research agreements and work closely with research analysts, senior management, and compliance teams as part of the overall MiFID II compliance framework.

        -

        Is this role right for you?

        -
        • Produce periodical analytical summary reports for the Research Management team
        • Create analysis and reporting tools on an ad hoc basis to support internal data and analytical requests
        • Create and maintain dashboards and reports that can be leveraged by users to find insights
        • Analyze client accounts to identify outreach opportunities and gauge account profitability
        • Work with Research Analysts to improve the format and delivery of their product
        • Understand business processes to analyze, interpret, and advise staff on analytical findings
        • Collaborate with stakeholders to ensure effective use of reporting and analysis, and provide support, if needed
        • Understand and incorporate technology best practices with a primary focus on .NET and SQL
        • Liaise with other internal analytics teams to ensure data accuracy and consistency across the firm
        • Diligently perform quality assurance and assess operational and reputation risk
        • Monitor and analyze buyside client consumption of the research product
        • Respond to internal and external inquiries on the research product and agreements
        • Issue invoices for research clients and track payments with internal Finance teams
        • -
        -

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

        -
        • Technical mindset with an undergraduate degree in Computer Science or Engineering is required
        • Excellent command of Microsoft Office, with an emphasis on Excel is required
        • Proven experience in SQL and .NET is required
        • Working knowledge of Angular and Python would be an asset
        • Strong problem-solving and analytical skills
        • Excellent written and verbal communication skills
        • Attention to detail and time management skills
        • Ability to produce meaningful results from data
        • Proven experience consolidating and analyzing different data sources
        • Ability to work collaboratively within a cross functional team environment
        • Ability to succeed in a dynamic and fast-paced environment
        • -
        -

        -

        Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/Senior-Associate%2C-Research-Analytics-&-Institutional-Client-Strategy/568224817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-03T15:57:04.998Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/240226730-senior-associate-research-analytics-institutional-client-strategy-at-scotiabank,https://jobs.scotiabank.com/job/Senior-Associate%2C-Research-Analytics-&-Institutional-Client-Strategy/568224817/,draft,2023-06-27T15:52:02.423Z,import-xml-feed:Scotiabank,,,,,,, -813bb90c-031d-4682-8efe-4be43b4815fe,237622614,Scotiabank,"Senior Analyst, Business Semantics Management",on_site,Canada : Ontario : Toronto,2023-06-19T15:52:03.017Z,"

        -

        -

        -

        -

        Requisition ID: 179857

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

        -

        -

        Purpose:

        -

        -

        The Customer Insights, Data & Analytics (CIDA) team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is optimizing efficiency in understanding, searching and accessing data & analytics, which in turn improves the accuracy and speed of decisions. The aim is to vastly improve data literacy by describing data & analytics in business terms; and connect them to physical metadata, data & analytics assets to improve data search and consumption experiences.

        -

        -

        As part of the Business Semantics Management team within the Data & Analytics Office, the candidate will work with key analytics and business stakeholders to create Scotiabank Business Information Model (SBIM), which captures business vocabularies linked with data & analytics assets that exist across the organization. The Senior Analyst, Business Semantics Management role requires strong knowledge in information management and teamwork skills. Any hands-on experience in working with data & analytics, as well as business knowledge in banking would be considered a strong asset.

        -


        What's in it for you?

        -

        -

        • Play a key role in establishing the long-term data & analytics vision and contribute to the development of the Bank’s optimal data & analytics search experience
        • Opportunity to make an impact in the digital transformation of Scotiabank
        • Exposure across business lines, function groups and technology areas where data & analytics plays a critical role
        • A compensation program with competitive salary, opportunities for annual performance incentives based on performance thresholds, a competitive benefits program and continuing education programs

        -

        -

        Requirements & Qualifications:

        -

        -

        • University degree in business or relevant STEM discipline (Science, Technology, Engineering and Mathematics)
        • Deep experience managing data and/or analytics projects would be a strong asset
        • Graduate degree in Information Management / Knowledge Modeling area would be an asset
        • Subject area experience with Financial Industry products and services preferred: Retail Banking/Lending, Commercial Banking/Lending, Capital Markets, and Wealth Management
        • Experience in Google Cloud ecosystem would be an asset
        • Experience with collaboration tools such as Confluence

        -

        -

        Accountabilities:

        -


        • Assists in the collection of Business Terms, Data Elements for the assigned business domains
        • Assists in the organization of collected business metadata content at the enterprise and line of business levels
        • Participates in the development and roll-out of the business semantics management strategy & Scotiabank Business Information Model (SBIM)
        • Supports the resolution of day-to-day SBIM related questions and user concerns
        • Supports the execution of Scotiabank Business Information Model (SBIM) marketing and execution plans
        • Supports the SBIM related user training and Q&A sessions
        • Supports other Data & Analytics initiatives that require migration or enhancement of business metadata assets
        • Supports the creation, review & maintenance of Scotiabank Data Policy, Data Standards and Playbook
        • Supports the Data & Analytics Office audit, regulatory risk, and OSFI engagements, as required

        -

        -

        -

        Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/Senior-Analyst%2C-Business-Semantics-Management/571335117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-03T15:57:04.998Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237622614-senior-analyst-business-semantics-management-at-scotiabank,https://jobs.scotiabank.com/job/Senior-Analyst%2C-Business-Semantics-Management/571335117/,draft,2023-06-19T15:52:03.017Z,import-xml-feed:Scotiabank,,,,,,, -91ff8a9d-803b-4f2f-8715-9f4ae9a25976,237677738,Sun Life Financial,Senior Data Scientist (Remote),on_site,"Ontario, Canada",2023-06-20T02:15:02.503Z,"
        -

        You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

        +
        ",,https://jobs.rbc.com/ca/en/job/R-0000063219/Sr-Manager-Risk-Management,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-08-04T01:51:03.953Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243216692-sr-manager-risk-management-at-rbc,,draft,2023-07-05T01:51:03.940Z,import-xml-feed:RBC-Job-Feed,,,,,,, +95fdd9f2-7316-4a27-98fd-475e9495ef2b,243217433,CN,"Manager, Advance Analytics Optimization",on_site,"Ontario, Canada",2023-07-05T02:18:02.869Z,"

        +

        At CN, everyday brings new and exciting challenges. You can expect an interesting environment where you’re part of making sure our business is running optimally and safely―helping keep the economy on track. We provide the kind of paid training and opportunities that long-term careers are built on and we recognize hard workers who strive to make a difference. You will be able to thrive in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

        Job Summary

        The Manager, Advance Analytics Optimization is responsible for developing the Terminal operating model of the future. The incumbent assists with solving operation and service issues by developing solutions for CN’s ongoing transformation in Intermodal (IM) Operation with the Smart Terminal Program and Continuous Improvement strategy in virtually every aspect of its business. The incumbent leverages statistical analysis, Artificial Intelligence (AI) machine learning, and optimization techniques to drive innovation and improvement in IM operations.

        Main Responsibilities

        · Apply statistical, advanced analytics, data science and machine learning knowledge, tools and techniques to specific business problems and data

        · Develop initiatives to assist Supply Chain in a number of highly technical areas

        · Use data science techniques to find data patterns, anomalies, and optimization opportunities

        · Interpret, translate, and communicate analytical findings to business stakeholders

        · Address and solve complex analytical problems using quantitative approaches

        · Collaborate to implement data best practices through Data Lab, Data Hub,

        · Provide analytical support by creating and sharing regular and ad hoc reports for projects and kaizens

        · Identify simplification initiatives to allow for more effective data management to change the conversation from tactical to strategic

        · Analyze data and develop solutions to define the operating models of the future using data science such as optimization or machine learning

        · Work with Senior Terminal Managers, Terminal Managers, Supervisors, and Network Planning to recommend optimization improvements in Operation

        · Influence IM Operation Management for fast and accurate decision-making on various aspects of the process such as capacity, productivity, process automation, and customer service

        · Participate in change management

        · Drive continuous improvement by identifying opportunities and leading projects

        · Control and facilitate all data driven sessions on continuous improvements within all terminals across the network

        · Analyze complex data sets and operational parameters to support leadership in decision-making while implementing new solutions and processes

        Working Conditions

        The role has standard working conditions in an office environment with a regular workweek from Monday to Friday. Due to the nature of the role, the incumbent must be able to meet tight deadlines, handle pressure, and stress. The role requires minimal travel (5%) for field visits.

        Requirements

        Experience

        Advance Data Analytics

        · Between 4 to 5 years of experience with, transportation operations or planning and forecasting of operations, inventory management systems, operation management systems

        o Experience in analytics, data science, and advance data modelling with a focus on driving business, engineering, logistics, and supply chain decisions

        o Experience in developing Machine Learning and statistical models

        o Experience with technology and operation automation projects

        o Experience with Machine Learning algorithms *

        o Experience in using Power BI and Tableau to deliver insight*

        *Any experience for these above would be considered as an asset

        Education/Certification/Designation

        · Bachelor’s Degree in Engineering, Operations, Supply Chain or Business

        · Master’s Degree in Statistics, Mathematics, Quantitative Methods, Engineering, Operations Research, Supply Chain, or equivalent*

        *Any designation for these above would be considered as an asset

        Competencies

        · Applies critical thinking

        · Sets direction and inspires others

        · Collaborates with others and shares information

        · Solves problems to create value

        · Demonstrates agility and drives change

        · Knows the business and stays current on industry needs

        · Fluently bilingual both written and verbal (English, French)*

        *Any skills/attributes for these above would be considered as an asset

        Technical Skills/Knowledge

        · Advance Knowledge of Excel, Structured Query Language (SQL), Python

        · Knowledge of process improvement tools and methodologies such as lean tools

        · Knowledge of analytical and quantitative methodologies for mathematical optimization and statistical analysis

        · Knowledge of data analysis, data mining, mathematical modelling and optimization, as well as algorithms

        · Advance Knowledge of Microsoft Office (Excel, PowerPoint, and Word) and Power BI

        · Experience in optimization software and mathematical programming languages such as CPLEX, Lingo or others*

        · Knowledge of IM terminal operations and processes such as manpower, capacity, and asset planning, demand, maintenance, truck turn time, and work cell operations*

        · Knowledge of IM terminal systems such as Terminal Operating System (TOS), Gate, and Service Reliability System (SRS)*

        *Any knowledge for any of the above would be considered as an asset

        About CN

        CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

        -

        Job Description:

        -

        Within Sun Life, the Analytics & Insights teams are comprised of savvy and intellectually curious professionals who are on a mission to transform how we apply data and analytics to support Sun Life becoming client-centric. An integral part of the Analytics & Insights organization, the Data Science team supports Canadian business units in their journey to leverage data and analytics as a foundational pillar in delivering business value.

        -

        Reporting to the Director, Data Science CoE, as a Senior Data Scientist you will focus on supporting Canadian business units in accelerating the growth and application of analytics in driving value. The senior data scientist will leverage practical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases.

        +

        +

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

        +
        ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/11084?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-07-18T02:23:02.961Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/243217433-manager-advance-analytics-optimization-at-cn,,draft,2023-07-05T02:18:02.869Z,import-xml-feed:Selenium-Scraper,,,,,,, +b584bd66-bab9-4cd5-9b8f-016d2541e49b,243217476,Clearpath,Test Developer (Developer Relations),on_site,"Ontario, Canada",2023-07-05T02:18:07.908Z,"

        Description

        +

        Position: Test Developer (Developer Relations)
        Location: Kitchener, Ontario
        Job Type: Full-Time Permanent
        Experience: 2-5 Years
        Education: College Diploma, with 2-5 years\' work experience in ME/EE/SW or Testing
        Division: OTTO Motors

        +

        About OTTO™ Motors (Division of Clearpath Robotics)

        +

        OTTO™ Motors is a growing, disruptive company, making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self-driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit www.ottomotors.com.

        +

        About the Job

        +

        We\'re looking for a Test Developer to join our Developer Relations team to test and validate our robots as we integrate our software solution for Autonomous Navigation onto more vehicles to create new Autonomous Mobile Robots (AMRs). You will take charge of test plan development and execution for various products and custom projects, to ensure that our hardware and software is co-existing harmoniously. This will range from designing test campaigns to identify and eliminate issues early on, through to tail end validation focused on detailed product verification. Your goal is to increase efficiency and reliability with regards to product testing and validation. You will work closely with the rest of the Clearpath development team to make sure that we are delivering properly engineered solutions.

        +

        Your primary responsibilities will be:

        +
          +
        • Executing test for full system, component, simulation, and performance
        • +
        • Designing test campaigns
        • +
        • Documenting test results
        • +
        • Capturing issues and artifacts, establishing strong feedback loop back into development
        • +
        +

        Additional responsibilities may include:

        +
          +
        • Developing simulations, maintaining and extending testing standards and best practices
        • +
        • Testing and validating product components used in projects
        • +
        • Determining or helping to drive test requirements for new products, components, or projects as required
        • +
        • Supporting CI and internal tools and infrastructure
        • +
        • Supporting development systems infrastructure
        • +
        • Alerting the team and stopping the robots from starting their own revolution
        • +
        • Occasional travel to partner facility and remote support for testing
        • +
        +

        About You

        +

        You are motivated by making an impact on your workplace and you thrive on challenging and rewarding problems. You are resourceful and enjoy working hands-on with both hardware and software. You have a passion for quality; you are never satisfied with a job half done or releasing a product that is not up to your highest standards.

        +

        Your programming background is strong and you’re able to diagnose issues faster than the speed of light. You\'re looking for a job where you get to interact with a diverse team and learn something new every day.

        +

        Required Experience/Skills:

        +
          +
        • College Diploma in a relevant technical field
        • +
        • 2-5 years’ working in mechanical, electrical, software design or testing environments (or Post Graduates with similar exposure)
        • +
        • Strong analytical, troubleshooting and problem-solving skills
        • +
        • Experience with testing validation of complex integrated systems and/or software
        • +
        • Experience with Linux / Unix operating systems including scripting languages (e.g. bash, shell, awk etc.)
        • +
        • Hands on experience with software/hardware mixed products, which may utilize motor controls, machine controls, and various sensory components in combination with software
        • +
        • Strong verbal and written communications
        • +
        • Ability to work well independently, as well as in a team environment
        • +
        +

        Bonus Experience/skills:

        +
          +
        • Combination of experience designing, implementing, maintaining or executing technical acceptance plans
        • +
        • Python or similar Object Oriented programming experience (C++, Java, Javascript, Ruby, etc.)
        • +
        • Git or similar version control experience (BitBucket, Github, etc.)
        • +
        • Understanding of continuous integration concepts and tools (e.g. Jenkins, BuildBot, etc.), and best practices
        • +
        • Familiarity with defect tracking systems such as JIRA
        • +
        • Experience with analysis with tools like iPython Notebook, Matlab or others
        • +
        +

        At Clearpath, we are committed to building and supporting a culture of diversity, inclusion, and accessibility. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, veteran status, sex, sexual orientation, gender identity, and expression. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

        ",,http://jobs.jobvite.com/clearpath/job/oagTmfwp,feed-importer@jobboard.io,,,,2023-07-11T02:23:03.163Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217476-test-developer-developer-relations-at-clearpath,,draft,2023-07-05T02:18:07.908Z,import-xml-feed:Selenium-Scraper,,,,,,, +1bf80c49-cb9c-4350-9464-6a8a19766c4f,243217445,OMERS,"Manager, Corporate Communications",on_site,"Ontario, Canada",2023-07-05T02:18:03.852Z,"
        +

        +

        +

        Manager, Corporate Communications

        +

        +

        Position Overview:

        +

        The Manager, Corporate Communications, is a strong communications professional on the Global Communications team. Working closely with the entire communications team, the manager will assist in the overall development and execution of communications plans and programs with a focus on partnering with assigned business leaders on key strategies and initiatives. This is a hands-on position for an individual who wants to be a part of a purpose-driven organization that supports the retirement of half a million Ontarians.

        +

        The right candidate will have a minimum of 6-8 years of corporate communications experience. You are, innately curious, a superb writer and storyteller. You work effectively with cross-functional teams to ensure consistent messaging and alignment with business objectives and take a holistic view of communications. You are creative and innovative, with a resourceful approach to execution and delivery. You seek out opportunities to build relationships and create partnerships.

        -

        Sun Life views success in this role in demonstration of these key attributes:

        -

        Fierce curiosity. You are drawn to discovering and leveraging new data and taking on challenging business puzzles. An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing. A passion for solving problems. The most successful data scientists’ solution for what the right data to use, they solve using the most suitable (not most advanced) algorithms for the problem at hand and figure out how to execute and deliver with highest efficiency. Technical skills in both data and computer science. There are 3 core technical skills we look for: in- depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured data (SQL) Thirst for learning. You are a data scientist who is constantly updating their knowledge of data science state-of-the-art.

        +

        Key Responsibilities:

        +

        Communication Strategy: Works with other members of the communications team, business leaders and subject matter leads to proactively create and implement a comprehensive communication strategy, aligned with strategic business priorities and OMERS strategic priorities.

        +

        Content Creation and Strategic Counsel: Writes, edits and provides advice to internal partners, including senior executives, on a range of communications initiatives.

        +

        Business Partner Support - Develops and executes communication plans to ensure audiences are well-informed about business initiatives, updates, and milestones. Partners with the business teams and leaders in devising and implementing communications plans and campaigns that drive engagement with employees globally. As needed, supports events, develops messages and intranet content.

        +

        Collaboration and Coordination: Collaborates with cross-functional teams to ensure consistency in messaging and alignment of communication efforts in a broader context.

        +

        Metrics and Reporting: Tracks and analyzes the effectiveness of communication campaigns and initiatives, utilizing relevant metrics and reporting tools. Provides regular reports on key performance indicators (KPIs) and makes recommendations for continuous improvement.

        -

        What will you do?

        +

        To succeed in this role

          -
        • Be able to engage with business stakeholders to understand business outcomes. Comfortable to translate business goals into analytical problems.

        • -
        • Be able to work in cross functional teams to develop an ML/data science product

        • -
        • Be able to break down broader data science development milestones into smaller goals, activities, and a work plan

        • -
        • Apply best in breed data science including descriptive, predictive and machine learning techniques from the design to implementation that impacts the business.

        • -
        • Focus on Feature Engineering, Model Training and Model Evaluation in addition to data munging / wrangling

        • -
        • Identify the right algorithms and statistical techniques for a specific project as well as the best features for a model. Advise junior members on the same.

        • -
        • Make business recommendations with effective presentations of findings at multiple levels of stakeholders

        • -
        • An active contributing member to the analytics community to help foster and grow the data science community at Sun Life

        • -
        • Champion and support diversity and inclusion

        • +
        • You uphold and demonstrate OMERS core values in every interaction;
        • +
        • You deliver results through building strong trust relationships;
        • +
        • You are curious and known for your superb writing and storytelling skills;
        • +
        • You are creative and passionate about bringing new approaches and tactics to life;
        • +
        • You have project leadership skills, coupled with resourcefulness and a keen focus for detail;
        • +
        • You confidently manage relationships at all levels with an ability to articulate your vision effectively to partners.
        -

        -

        What will you need to succeed?

        +

        Qualifications:

          -
        • BSc/M.S. in a statistical, mathematical, or technical field (i.e., computer science) or equivalent experience

        • -
        • 3+ years experience in developing and implementing data science techniques (predictive, prescriptive, ML etc.)

        • -
        • Comfortable writing complex SQL queries to extract and integrate data from multiple database sources

        • -
        • Proficient in using one or more statistical programming languages (i.e., Python) for data science

        • -
        • Experience with AWS services including SageMaker

        • -
        • Experience with machine learning including supervised and unsupervised models

        • -
        • Demonstrated experience in data transformation & data manipulation

        • -
        • Experience working with Structured vs. Unstructured data

        • -
        • Experience with Big Data Technologies: Hadoop, HDFS, Hive, HBase, Spark is strongly desirable

        • -
        • Effective and concise oral and written storytelling and insights communication skills

        • -
        • Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities

        • -
        • Ability to document work and effectively prioritize documentation

        • -
        • Ability to work with junior data scientists, data engineers, ML engineers and guide their work if needed

        • +
        • Bachelor\'s degree in Communications, Public Relations, or a related field. Advanced degree is a plus.
        • +
        • Proven experience with [6-8 years] as a Communications Manager or similar role.
        • +
        • Experience supporting technology or innovation teams an asset.
        • +
        • Excellent written and verbal communication skills, with the ability to distill complex or technical concepts into clear and engaging content.
        • +
        • Demonstrated experience in developing and executing communication strategies.
        • +
        • Familiarity with social media platforms and their role in brand promotion.
        • +
        • Experience in content creation for various channels, such as announcements, thought leadership and case studies.
        • +
        • Ability to work collaboratively with cross-functional teams and manage multiple projects simultaneously.
        • +
        • Strong organizational skills, attention to detail, and ability to meet deadlines.
        • +
        • Proficiency in using communication tools, software, and analytics platforms.
        • +
        • Flexibility and adaptability to thrive in a fast-paced, dynamic environment.

        -

        What will be nice to have?

        +

        Please provide 2-3 writing samples with your application.

        +

        +

        +

        +

        +

        +

        Our story:

        +

        Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

        +

        +

        OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

        +
        ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Manager--Corporate-Communications_JR-4962?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-08-04T02:18:03.852Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217445-manager-corporate-communications-at-omers,,draft,2023-07-05T02:18:03.852Z,import-xml-feed:Selenium-Scraper,,,,,,, +f7c7307b-c7b9-4db1-9efc-62f330c9a7c9,243217453,Avidbots,"Senior Manager, Hardware",on_site,"Ontario, Canada",2023-07-05T02:18:04.629Z,"
        +

        At Avidbots, we believe in solving real world problems with autonomous cleaning robotic solutions to unlock humanity’s potential. Neo is our current groundbreaking autonomous floor scrubbing robot that enhances facility cleanliness around the world empowering reallocation of human capital to higher priority focuses… and we’re just getting started!

        +

        Headquartered in Kitchener, ON, Canada, we are an employee-focused organization that has been certified a Great Place to Work® consecutively for the last 4 years and one of Deloitte\'s Fast 500 (2021).

        +

        Now is your opportunity to join a fast-growing technology company built on teamwork, innovation, and boundless ambition!

        +

        Check Neo out!

        +


        +

        This opportunity is a hybrid position based out of our Kitchener HQ

        +


        +

        How you will make a difference

          -
        • Past experience in life insurance/wealth management, or other financial services industry (e.g., retail banking, credit card, property and casualty insurance)

        • -
        • Past experience working in Agile delivery model

        • -
        • Past experience in developing and deploying production grade model in cloud infrastructure

        • +
        • People leadership of the members of the hardware team (hiring, performance reviews, etc)
        • +
        • Consult on resource assignment to programs based on the technical requirements of the program.
        • +
        • Responsible for maintaining and developing the capability profiles of technical and sub-module experts within their functional team.
        • +
        • Responsible for identifying hiring alongside program managers and executing new hires.
        • +
        • Responsible for continuous improvement within their department - implement metrics on team performance, improve upon existing processes and conduct retrospectives on projects to further understand ways to improve.
        • +
        • Responsible for processes within the hardware team (schematic release, firmware development process, design reviews, etc)
        • +
        • Coaching, mentoring, support of engineers on their team.
        • +
        • Lead from the front by spending 25%-50% of time in day-to-day engineering design activities in a particular program
        -

        -

        Unique Requirements

        -

        The candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the information on Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

        -

        -

        What\'s in it for you?

        +


        +

        Key qualifications:

          -
        • Remote/ Hybrid Work environment

        • -
        • Competitive salary and bonus structure influenced by market range data

        • -
        • 20 days vacation per year and an innovative sabbatical program

        • -
        • A friendly, collaborative and inclusive culture

        • -
        • Being part of our Analytics community, where we share best practices and broaden skill-sets

        • -
        • Flexible Benefits from the day you join to meet the needs of you and your family

        • -
        • Pension, stock and savings programs to help build and enhance your future financial security

        • -
        • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

        • +
        • BASc. or graduate degree in Electrical/Computer Engineering or related
        • +
        • 5+ years of experience with electrical design or firmware development in a professional setting
        • +
        • Experience with the entire product development lifecycle - bringing products all the way from prototype to final release
        • +
        • Experience with spearheading processes implementation in electrical / firmware development
        • +
        • 2+ years of experience with people leadership for electrical or firmware teams (experience coaching, mentoring engineers)
        • +
        • Driven individual, passionate about hardware development, self-starter
        • +
        +


        +

        Bonus/Nice to have:

        +
          +
        • A passion for robotics and hardware development
        • +
        • Strong software development skills (C, C++ preferred)
        • +
        • Background with Linux -based Operating systems
        • +
        • Experience with Robot Operating System (ROS)
        • +
        • Enjoy working in a small team with big dreams
        • +
        • Experience with Safety-Rated development process (IEC61508)
        • +
        • Experience with firmware development in microcontrollers Cortex M4 and R4
        • +
        +


        +

        ***Applicants must be currently authorized to work in Canada for any employer

        +


        CAD: Avidbots is an equal opportunity employer committed to building a diverse workforce. As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. We offer a professional working environment and culture and believe that work / life balance is critical to ensure the happiness/well-being of our people.
        Upon request, Avidbots will provide reasonable accommodation for applicants with disabilities throughout the recruitment and selection process.

        +

        +

        #INDAV

        +
        ",,https://avidbots.bamboohr.com/careers/638,feed-importer@jobboard.io,,,,2023-08-04T02:18:04.629Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217453-senior-manager-hardware-at-avidbots,,draft,2023-07-05T02:18:04.629Z,import-xml-feed:Selenium-Scraper,,,,,,, +c83cf119-15ac-4173-ae72-baf1fc752c41,243217459,Avidbots,Senior Full Stack Developer (Web/ Mobile),on_site,"Ontario, Canada",2023-07-05T02:18:05.435Z,"
        +

        At Avidbots, we believe in solving real world problems with autonomous cleaning robotic solutions to unlock humanity’s potential. Neo is our current ground-breaking autonomous floor scrubbing robot that enhances facility cleanliness around the world empowering reallocation of human capital to higher priority focuses…and we’re just getting started!

        +

        Headquartered in Kitchener, ON, Canada, we are an employee-focused organization that has been certified a Great Place to Work® consecutively for the last 4 years and one of Deloitte\'s Fast 500 (2021).

        +

        Now is your opportunity to join a fast-growing technology company built on teamwork, innovation, and boundless ambition! Take a look at what Neo can do!

        +

        +

        This opportunity is a hybrid position

        +

        +

        About this role:

        +

        As a Senior Applications Developer, you will work together with the Web/ Mobile Team to build and scale modern applications in their full stack, including front-end, back-end, data storage and cloud architecture. You will contribute to bring value to the Command Center, our cloud platform and Mobile application where our users can manage robots remotely, get notifications and visualize reports. You are eager to deliver high quality solutions by understanding agile development, collaborating with the team, and writing high-class and testable code.

        +

        +

        This is a great opportunity for you to work in something innovative and with new technologies. You will be working alongside an experienced team of robotics veterans, software engineers, hardware engineers and product managers to help you along the way.

        +

        +

        How you will make a difference:

        +
          +
        • Contribute towards Full stack applications development
        • +
        • Collaborate with other developers to build and release applications
        • +
        • Design the technical specification to match product requirements and technical needs
        • +
        • Design and implement the processes, tools and automation for automated tests
        • +
        • Continuous integration, continuous deployment, and monitoring for our web applications
        • +
        • Improve development processes, programming practices and do code reviews
        • +
        • Design and implement scalable, secure and efficient cloud and on-premise platforms
        • +
        • Participate in Dev-Ops and deployment activities
        • +
        +

        +

        Required Skills & Experience:

        +
          +
        • 5-8 years of experience with software development
        • +
        • Solid experience with programming languages (JavaScript, Typescript, Node.js, PHP, Bash)
        • +
        • Experience with any Web frontend frameworks (Angular, React, Vue) and Hybrid Mobile framework like React Native
        • +
        • Solid experience with databases (MariaDB, MySQL, MSSQL Server)
        • +
        • Solid experience with web servers (Nginx, Apache)
        • +
        • Experience with production infrastructure in Amazon AWS and Microsoft Azure
        • +
        • Knowledge of Service Oriented Architecture, Kubernetes and Microservices
        • +
        • Knowledge of dependency management, tool-kits and system buildings for web applications (npm, apt, etc.)
        • +
        • Experience with automated testing and continuous integration
        • +
        • Solid experience with Linux-based operating systems
        • +
        • Self-driven and self-motivated, get things done
        • +
        • You have passion for what you do and we will enjoy to work with you
        +

        +

        Qualification & Experience:

        +
        • BE / B.Tech or higher degree in Computer Science / Engineering
        +

        +

        Avidbots is an equal opportunity employer committed to building a diverse workforce. As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. We offer a professional working environment and culture and believe that work/life balance is critical to ensure the happiness/well-being of our people.

        +

        +

        Upon request, Avidbots will provide reasonable accommodation for applicants with disabilities throughout the recruitment and selection process

        +

        +

        #INDAV

        +


        +


        +


        +
        ",,https://avidbots.bamboohr.com/careers/647,feed-importer@jobboard.io,,,,2023-07-11T02:23:03.163Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217459-senior-full-stack-developer-web-mobile-at-avidbots,,draft,2023-07-05T02:18:05.435Z,import-xml-feed:Selenium-Scraper,,,,,,, +13f73f7f-f60d-46af-a6d4-7f770c55b883,243216378,Loblaw Companies Ltd,"Manager, Reporting, Planning & Forecasting",on_site,"Ontario, Canada",2023-07-05T01:44:01.708Z,"
        +

        Referred applicants should not apply directly to this role.

        +

        All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

        -

        The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

        -

        Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

        +

        Location:

        500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

        +

        When you hire great people, great things can happen.

        +

        PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

        -

        Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

        +

        Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

        -

        At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

        +

        Who We Are:

        -

        We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

        +

        In the Customer Support Centre of Excellence (CoE), we strive to provide PC Financial, PC Optimum, Loblaw Digital, Loblaw Retail, and SDM Retail customers with an effortless experience in the moments that matter. We use technology, automation, and delivery optimization to improve customer and colleague experiences. We collaborate with technology and products teams to build synergy and deliver value. We are a nimble, agile, and collaborative team, solving complex problems at pace. We run as one team, value diversity and dig deep to always know more.

        -

        Salary Range:

        80,000/80 000 - 130,400/130 400

        -

        Job Category:

        Advanced Analytics

        -

        Posting End Date:

        18/06/2023
        ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Scientist--Remote-_JR00080640?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-07-20T02:15:02.514Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/237677738-senior-data-scientist-remote-at-sun-life-financial,,draft,2023-06-20T02:15:02.503Z,import-xml-feed:Sunlife-Job-Feed,,,,,,, -070f1913-77b2-436d-8de8-7b7a03d5e910,237205996,TD Bank Group,Business Insights Specialist,on_site,"Toronto, ON",2023-06-17T15:53:02.182Z,"
        -

        Company Overview

        -
        -

        Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

        -

        Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

        -
        +

        Why This Role is Important:

        -

        Department Overview

        -

        Personalization Analytics is a newly formed team in ED&A with an enterprise scope, whose role is to create a set of analytical capabilities that will enable internal partners to provide more personalized outcomes that will ultimately impact TD customers and treat them more uniquely.

        +

        Reporting to the Senior Manager, Reporting, Planning and Forecasting, this role will supervise the PC Optimum, Retail, Internal Specialist, and Social Customer Contact Channels. The ideal candidate will have a financial background, with P&L reporting experience and an eye for automation where work efforts are manual and repetitive in nature. The key responsibilities of this role include, but are not limited to define, describe, and implement strategic planning and forecasting, through collaboration with internal and external/vendor resources, build long term and short-term forecasts, including financials and facilitate the staffing process, both internally and externally.

        -

        Job Description

        -
        -

        About this Role

        -

        We are seeking a highly experienced and dynamic Business Insights Specialist to lead our Data and Analytics team in driving personalization analytics initiatives at TD. This role combines strategic leadership with hands-on analytics expertise, focusing on project execution, delivery, and driving data-driven decision-making. If you are a visionary leader with a strong analytical background and a track record of successfully delivering impactful analytics projects, this is an exceptional opportunity to shape the future of personalization analytics in the banking industry.
        The successful candidate will work in a fast-paced and results-oriented environment and will be part of a learning culture where ongoing development is encouraged
        Specific accountabilities include:

        -
          -
        • Able to effectively communicate analytical insights in a compelling and actionable manner to senior leadership and key stakeholders, driving data-driven decision making across the bank.
        • -
        • Ensure successful execution and delivery of analytics projects
        • -
        • Collaborate closely with cross-functional teams to identify business requirements, align analytics initiatives with organizational goals, and establish project timelines and deliverables.
        • -
        • Utilize advanced statistical techniques, machine learning algorithms, and predictive modeling to analyze complex data sets, extract actionable insights, and develop innovative solutions to drive customer personalization and enhance business outcomes.
        • -
        • Build insights solutions end to end (from initial demand to results/recommendation presentation) ranging in complexity
        • -
        • Drive the adoption of data-driven decision-making processes, providing guidance and support to business stakeholders in leveraging analytics insights for strategic planning and initiatives.
        • -
        -

        EMPLOYEE & TEAM

        +

        We are looking for a candidate that is a self-starter, highly energized, and has excellent communication and presentation skills. The right candidate will bring a strong mix of experience with financial planning within the customer support function, and a ‘roll-up-your-sleeves’ approach. This role does involve people management.

        +

        +

        What You\'ll Do:

          -
        • Participate fully as a member of the team, supporting a positive work environment that promotes a culture of: gaining insights and learning, producing quality results, driving innovation, and teamwork and ensure timely communication of issues/ points of interest.
        • -
        • Contribute to a fair, positive and equitable environment that supports a diverse workforce.
        • +
        • Reporting on monthly / period financial performance and provide insights to improve the projected trajectory
        • +
        • Support annual planning and periodic submissions for both lines of businesses
        • +
        • Complete invoice reconciliation and prepare summary documents to support approval
        • +
        • Execution and monitoring of Service Level penalties and chargebacks to contractual terms
        • +
        • Track and analyze historical volumes and patterns, and agent performance metrics (schedule compliance, absenteeism, average handle time)
        • +
        • Work with cross-functional teams within the business to improve customer service processes
        • +
        • Build long and short-term forecasts, including financials
        • +
        • Review forecast-to-actual workload variance and determine if adjustments to future forecasts are needed
        • +
        • Adjust workforce requirements based on changing/dynamic forecasts; reforecasting when required
        • +
        • Liaise with vendors to ensure appropriate information flow and incorporation of forecast inputs
        • +
        • Maintain and develop necessary operational and performance reports
        • +
        • Identify trends that support efficiencies through automation
        • +
        • Present results in a concise, decisive format for various partners
        • +
        • Ability to integrate various data streams into a coherent, accurate view of program activities
        -

        BREADTH & DEPTH

        +

        +

        What You Bring:

          -
        • Takes ownership of solving large, complex problems requiring analysis of multiple variables, including consultation with multiple stakeholders.
        • -
        • Builds stakeholder alignment in leading projects and activities; may provide process and subject matter advice at senior levels
        • +
        • University Degree in an analytical field such as Economics or Business, or equivalent experience.
        • +
        • 2+ years of people management experience is an asset
        • +
        • Intermediate Excel Skills (Advanced formulas such as Sumifs/Countifs), as well as the skills for data manipulation
        • +
        • Strong attention to detail
        • +
        • Salesforce usage and Salesforce reporting skills are as asset with a major emphasis on Salesforce Analytics Studio/Tableau reporting.
        • +
        • Call centre experience is an asset
        • +
        • VBA, or SQL skills an asset
        • +
        • Ability to articulate sophisticated problems and insights in a clear and concise manner for partners
        • +
        • Strong collaborator but work well independently and can manage multiple projects / responsibilities
        -

        -

        Requirements

        -
        -

        What can you bring to TD?
        This role requires a combination of technical skills, project management, and interpersonal skills:
        Technical Skills:

        -
        • High Proficiency in Python and SQL. Prior experience in machine learning would be considered a strong asset.
        -

        Interpersonal Skills:

        +

        +

        Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

        +

        +

        +

        Number of Openings:

        1

        +

        PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

        +

        +

        In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

        +

        +

        +

        Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

        +
        ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Manager--Reporting--Planning---Forecasting_R2000350006-1?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-08-04T01:44:01.718Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243216378-manager-reporting-planning-forecasting-at-loblaw-companies-ltd,,draft,2023-07-05T01:44:01.708Z,import-xml-feed:Loblaws-Job-Feed,,,,,,, +6070c511-19ae-4970-b4b4-91b26a99c2c9,243216279,BMO Financial Group,"Senior Manager, Wholesale Credit Methodology",on_site,"Ontario, Canada",2023-07-05T01:42:02.148Z,"
        +

        Application Deadline:

        07/20/2023

        +

        +

        Address:

        100 King Street West

        +

        +

        Job Family Group:

        Data Analytics & Reporting

        +

        +

        This is an excellent opportunity for a Senior Manager with experience in Wholesale Credit Risk Model Development.

        +

        +

        Reporting to the Director-Wholesale Credit Methodology, the Senior Manager is responsible for leading the research and development of wholesale AIRB credit risk modeling methodologies and strategies to manage risks arising from business/group portfolios and products. The ideal candidate will apply knowledge of analytics algorithms and technologies to develop forward-looking models and analytic solutions to identify, understand, and enable risk-related strategies. They will summarize statistical findings, draw business conclusions, and present actionable business recommendations used in the management of risks and related activities such as enterprise-wide stress testing and scenario analysis, capital modeling, and valuations.

        +

        +

        In this role, you will leverage your previous experience in model development, advanced analytics and credit risk management. You should have experience managing multiple stakeholders, including senior business leaders and regulators, and be able to communicate complex concepts to various audience. Strong people management skills and excellent communication abilities are essential. The Senior Manager will oversee multiple projects, and the job will require supporting all stages of the model life cycle and effectively communicating with internal and external stakeholders. The candidate should possess a strong technical background.

        +

        +

        This position is located in Toronto and offers a hybrid work arrangement with at least 2 days per week on-site and other days remote.

        +

        +

        If you’re looking for your next dream job, consider this one in BMO’s ERPM Risk group where every colleague helps protect and grow the bank by providing independent review and oversight of enterprise-wide risks, working together to maintain a risk management framework and fostering a strong risk culture. #ERPMDreamJobs

        +

        +

        +

        The BMO Wholesale Credit Methodology team supports the complete lifecycle of wholesale AIRB Credit Risk models (PD/LGD/EAD) and works closely with all internal and external stakeholders. The role is ideal for one who wants to work on the research and development of quantitative risk modeling methodologies and related strategies in support of the management of risks arising from business/group portfolios and products. Applies knowledge of analytics algorithms and technologies to develop forward looking models and analytic solutions that ensure risks are properly identified, understood and risk related strategies are enabled. Summarizes statistical findings, draws business conclusions, and presents actionable business recommendations used in the management of risks and related activities e.g. associated internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations. Drives innovation through the development of data products that can be leveraged across the organization and establishes best practices as well influences data governance guidelines and policies.

        +

          -
        • Flexibility and resilience to execute in an agile environment, including the ability to adapt and manage changing priorities
        • -
        • Analytical and intellectually curious, seeking to understand root causes
        • -
        • Strong presentation and communication skills
        • +
        • Manages people and leads a team capable of delivering the desired business results.

        • +
        • Provides strategic input into business decisions as a trusted advisor.

        • +
        • Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group.

        • +
        • Acts as a subject matter expert on relevant regulations and policies.

        • +
        • May network with industry contacts to gain competitive insights and best practices.

        • +
        • Acts as a subject matter expert on relevant regulations and policies.

        • +
        • Oversees the development and delivery of tools and training reporting tools and self-serve analytics by non-analytical end users.

        • +
        • Influences and negotiates to achieve business objectives.

        • +
        • Identifies emerging issues and trends to inform decision-making.

        • +
        • Manages resources and leads the execution of strategic initiatives to deliver on business and financial goals.

        • +
        • Recommends business priorities, advises on resource requirements and develops roadmap for strategic execution.

        • +
        • Develops and manages comprehensive information management systems; designs and/or leads initiatives to improve processes, analysis and reporting.

        • +
        • Conducts independent analysis and assessment to resolve strategic issues.

        • +
        • Identifies emerging issues and trends to inform decision-making.

        • +
        • Acts as the prime subject matter expert for internal/external stakeholders.

        • +
        • Ensures alignment between stakeholders.

        • +
        • Builds effective relationships with internal/external stakeholders.

        • +
        • Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group.

        • +
        • Defines business requirements for analytics & reporting to ensure data insights inform business decision making.

        • +
        • Develops and applies the framework for databases; oversees database management in adherence with data governance standards.

        • +
        • Monitors and tracks performance, and addresses any issues.

        • +
        • Leads the execution of ad-hoc analytics and reporting solutions and cyclical programs; assesses and adapts as needed to ensure quality of execution (8,9).

        • +
        • Leads change management programs of varying scope and type, including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.

        • +
        • Leads the development of the communication strategy focusing on positively influencing or changing behaviour.

        • +
        • Collaborates across BMO to develop communications strategies and ensure consistency of messaging, in order to positively influence or change behaviour.

        • +
        • Leads the execution of operational programs; assesses and adapts as needed to ensure quality of execution.

        • +
        • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.

        • +
        • Provides advice and guidance to assigned business/group on implementation of analytical solutions.

        • +
        • Works with stakeholders to identify the business requirements, understand the distinct problems, and the expected outcome and models and frames business scenarios which impact critical business processes and/or decisions.

        • +
        • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.

        • +
        • Applies scripting/programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).

        • +
        • Develops agreed analytical solution by applying suitable statistical techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, artificial intelligence) to test, verify, refine hypotheses.

        • +
        • Summarizes statistical findings and draws conclusions and presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.

        • +
        • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.

        • +
        • Performs experimental design approaches to validate finding or test hypotheses.

        • +
        • Uses the appropriate algorithms to discover patterns.

        • +
        • Builds effective relationships with internal/external stakeholders. Ensures alignment between stakeholders.

        • +
        • Supports development of tools and delivers training for data and analytics.

        • +
        • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.

        • +
        • Leads/participates in the design, implementation and management of core business/group processes.

        • +
        • Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.

        • +
        • Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.

        • +
        • Implements changes in response to shifting trends.

        • +
        • Broader work or accountabilities may be assigned as needed.

        -

        Additional information
        Education and Accreditation

        +

        +

        Qualifications:

          -
        • Post-secondary degree is required.
        • -
        • -A Master’s degree is considered to be an asset.
          • Seven (7) or more years relevant experience in leveraging data and analytics. Banking and financial services industry would be considered a strong asset.
          -
        • +
        • Typically 7+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

        • +
        • Data preparation, data analysis, and statistical tool sets including but not limited to, SAS, R, Python.

        • +
        • Relevant experience in risk, capital, and/or treasury management is preferred.

        • +
        • A professional designation in Finance or Risk management is preferred.

        • +
        • Seasoned professional with a combination of education, experience and industry knowledge.

        • +
        • Verbal & written communication skills - In-depth / Expert.

        • +
        • Analytical and problem solving skills - In-depth / Expert.

        • +
        • Influence skills - In-depth / Expert.

        • +
        • Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.

        • +
        • Able to manage ambiguity.

        • +
        • Data driven decision making - In-depth / Expert.

        -
        -

        -

        Additional Information

        -
        -#LI-Hybrid #LI-Post
        +

        +

        +

        We’re here to help

        +

        +

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

        +

        +

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

        +

        +

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

        +

        +

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

        +

        +

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

        +
        ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Manager--Wholesale-Credit-Methodology_R230008526?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-08-04T01:42:02.156Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243216279-senior-manager-wholesale-credit-methodology-at-bmo-financial-group,,draft,2023-07-05T01:42:02.148Z,import-xml-feed:BMO-Job-Feed,,,,,,, +440573bf-bc4b-44c6-978d-fe1e83bc7fd9,243955427,RBC,Sr Data Analyst (Term),on_site,"Toronto, ON, Canada",2023-07-07T01:51:01.983Z,"
        +

        Come Work with Us!

        At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

        Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

        +

        Job Title

        Sr Data Analyst (Term)

        -

        Hours

        -
        37.5
        +

        Job Description

        +

        What is the Opportunity?

        -

        Inclusiveness

        -

        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

        +

        The Sr Data Analyst (1 year contract), will manage the development, implementation, and support of business analytics initiatives within special projects reporting to the RBC Advice Centre Analytics team. Applies experience and seasoned knowledge, skills, and practices by building requirements, ensuring data quality, interpreting data, and delivering insights and visualizations.

        -
        ",,https://jobs.td.com/en-CA/jobs/18391088/business-insights-specialist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-07-17T15:53:02.197Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237205996-business-insights-specialist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18391088/business-insights-specialist-toronto-ca/,draft,2023-06-17T15:53:02.182Z,import-xml-feed:TD-Bank-Group---Job,,,,,,, -3b73c040-638d-462e-9cc1-6231658af44c,242607573,TD Bank Group,Business Information Management Specialist,on_site,"Toronto, ON",2023-07-03T15:53:02.165Z,"
        -

        Company Overview

        -
        -

        Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

        -

        Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

        -
        +

        What will you do?

        +
          +
        • Retrieve, clean and organize large data sets from multiple sources.

        • +
        • Conduct data analysis to derive meaningful insights and actionable recommendations.

        • +
        • Ensure data integrity and accuracy by identifying and addressing data quality issues.

        • +
        • Collaborate with data engineers to source and understand new and existing data feeds.

        • +
        • Collaborate with project team to create and understand business requirements and align data analysis with organizational goals.

        • +
        • Develop and maintain dashboards using Tableau to provide rich and actionable insights.

        • +
        • Interpret data findings and communicate insights in a clear and concise manner to non-technical stakeholders.

        • +

        -

        Department Overview

        -
        -

        Business Information Management (BIM) at TD is part of a creative, enterprise-wide data and analytics ecosystem. Roles in BIM are highly professional and valued, specialized yet inter-connected and focused making the availability of business information to designers, developers and decision-makers a priority, all with a united purpose to serve customers and continually build a better bank.

        -

        We’re looking for analytical and agile professionals who can merge and translate data into technology and business information, serving today’s business needs and setting in motion TD’s longer-term goals and strategic objectives.

        -

        If you get data, its power and potential, we think you’ll love working at TD, where data knows no bounds and where your professional expertise will help to drive the business forward and take your own career to new heights.

        -
        +

        What you need to succeed?

        -

        Job Description

        -
        -

        Are you a highly-seasoned data professional, equipped with both conceptual and practical expertise in business information management? If so, this role offers a hands-on and high-career growth opportunity to provide business technical leadership across a broad range of information management functions to support various areas of data and analytics.

        -

        Enjoy working with colleagues and project teams? In this specialist role you’ll work closely with various technology and project teams to understand business data and provide analysis and requirements that ensure alignment with overall project and program design and data management standards.

        -

        As a Business Information Management Specialist, you will:

        +

        Must Have:

          -
        • Be the primary authority as a senior lead by bringing master level expertise and knowledge on a diverse range of tasks and is relied upon to coach others
        • -
        • Analyze and understand business and data requirements to develop complete business solutions (e.g. analysis of data models, entity relationship diagrams, data lifecycle management, governance, lineage, metadata and reporting elements)
        • -
        • Develop business requirements; design and implement complex business data information management frameworks
        • -
        • Apply automation and innovation on data platforms and on new development projects / initiatives
        • -
        • Conduct a range of data analyses, demonstrating your in-depth experience with very large datasets and big data technologies; assessing business information-related data requirements aligned to business needs and for specific data platforms, applications systems and servers
        • -
        • Partner and collaborate with business and technology partners to resolve data / application issues and ensure requirements delivery and compliance (e.g. with enterprise framework, methodologies, financial controls, and other requirements)
        • -
        • Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality and innovation and, ensure timely communication of issues/points of interest
        • +
        • Undergraduate degree in computer science or similar quantitative field.

        • +
        • 2+ years experience in data analytics, data science, data modelling, or data visualization.

        • +
        • Strong understanding of data validation and data quality concepts.

        • +
        • Proficiency in SQL, databases, and data structures.

        • +
        • Proficiency with data visualization tools such as Tableau, Power BI, or similar.

        • +
        • Proficiency in Python, or similar programming languages used for data analysis.

        • +
        • Professional communication skills with the ability to collaborate with technical and non-technical stakeholders.

        -

        -

        Requirements

        -
        -

        What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

        +

        Nice to Have

          -
        • Undergraduate degree or technical certificate
        • -
        • Seven (7) or more years relevant experience from a business administration, statistical, mathematical, scientific or financial background
        • -
        • Sound conceptual knowledge in your area of specialty
        • -
        • Fluent multiple programming languages
        • -
        • Expert level analytical and problem-solving skills
        • -
        • Advanced knowledge of various data sources, tools and technologies used in preparing summaries/reports
        • -
        • In-depth knowledge of competitor and market trends
        • -
        • Proficient to analyze, organize and prioritize work while meeting multiple deadlines
        • -
        • Expertise in using analytical software tools, MS Office, data analysis methods and reporting techniques
        • -
        • Proficient to work cooperatively and independently, communicate effectively (both speaking and writing), follow instructions/direction, and help building positive relationships across teams and functions
        • -
        • Act as a brand champion for our business area / function and TD, both internally and externally
        • +
        • Experience with the Hadoop ecosystem (HDFS, Hive, Spark) is a plus.

        • +
        • Experience with project based or agile teams is a plus.

        • +
        • Experience in Advice Centre and/or Financial Institutions

        -
        -

        -

        Additional Information

        -
        #LI-Hybrid

        -

        Flexible Work Options

        -
        N/A
        +

        What’s in it for you?

        -

        Hours

        -
        37.5
        +

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

        +
          +
        • A world-class training program in financial services

        • +
        • Work in a dynamic, collaborative, progressive, and high-performing team

        • +

        -

        Inclusiveness

        -

        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

        -
        ",,https://jobs.td.com/en-CA/jobs/18672815/business-information-management-specialist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-08-02T15:53:02.177Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/242607573-business-information-management-specialist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18672815/business-information-management-specialist-toronto-ca/,draft,2023-07-03T15:53:02.165Z,import-xml-feed:TD-Bank-Group---Job,,,,,,, -845d5256-6153-4363-8121-afdfe60a5f8c,241425102,Scotiabank,"Global Head, Data Security",on_site,Canada : Ontario : Toronto,2023-06-30T15:52:02.993Z,"

        -

        -

        -

        -

        Requisition ID: 178751

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

        -

        -

        Reporting to the CISO & Senior Vice President Information Security & Control, the Global Head, Data Security, will be responsible for leading a team of data security experts in implementing and deploying new and emerging data management and protection models, standards and technologies that are required to keep the Bank and its customers safe and secure globally.

        -

        -

        Accountabilities:

        -
        • Design a proactive global data strategy that ensures data is properly secured regardless of its environment or where it’s located
        • Design a data management model for how we model and manage unstructured data
        • -Lead a team of data and cyber security technologists to implement and maintain new data security standards and technology across the Bank globally. Understand the content, usage, external governing regulations and how to implement solutions across all of the geographies in which Scotiabank operates.
          • Determine appropriate controls with key stakeholders
          • Procure technology according to the Bank’s Enterprise Delivery Framework
          • Budgeting, forecasting and financial oversight of the total cost of new technology implementation
          • Ensure that we stay current and aligned to the market and dynamic regulatory changes over data residency
          • Evaluate external data management practices to ensure that third parties are appropriately protecting Bank data
        • Provide strategic direction to the team to identify, manage and manipulate data that enables prompt identification of abnormal activity that could indicate an active internal or external threat to the Bank
        • Partner with the Data and Analytics team to understand and influence the sensitivity and classification of business data to ensure that it is appropriately protected regardless of where it is stored.
        • Partner with the Privacy Office and Compliance teams globally to ensure that we are meeting country-specific requirements.
        • Provide data domain expertise to the cyber strategy by developing roadmaps to represent current and future state
        • Champion innovative and proven data protection approaches and create cross-bank awareness across Digital Factories; Architecture and Engineering teams, Global Technology Services, Data and Analytics, Information Security & Control and other key stakeholders to implement and operationalize new data security technologies which will reduce the invested effort before discovering a problem
        • Represent the bank and partner with new and emerging technology vendors, including Venture Capital partnerships, which will benefit the bank (Examples include RiskIQ, Team8/Sygnia, etc.)
        • Keep abreast of new technologies and maintain the data security component of the Cyber Security roadmap.
        • Continually research and explore opportunities to simplify processes and technologies and associated costs, and continuously evaluate our existing processes and toolsets against best-in-class alternatives.
        • Maintain deep communications and positive external relations across the cyber/ financial industry.
        • Directs day-to-day activities in a manner consistent with the Bank’s risk culture and the relevant risk appetite statement and limits. Communicates the Bank’s risk culture and risk appetite statement throughout their teams.
        • Creates an environment in which his/her team pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
        • Builds a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment and using a coaching mindset and behaviours; communicating vison/values/business strategy; and, managing succession and development planning for the team.
        • -
        -
        -
        -
        Education & Experience :
        +

        Job Summary

        +

        Address:

        CALGARY, Alberta, Canada

        City:

        CAN-AB-CALGARY

        Country:

        Canada

        Work hours/week:

        37.5

        Employment Type:

        Full time

        Platform:

        Personal and Commercial Banking

        Job Type:

        Contract (Fixed Term)

        Pay Type:

        Salaried

        Posted Date:

        2023-07-05

        Application Deadline:

        2023-07-08
        +

        Inclusion and Equal Opportunity Employment

        +

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

        +
        +

        Join our Talent Community

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

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

        +
        ",,https://jobs.rbc.com/ca/en/job/R-0000063283/Sr-Data-Analyst-Term,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-07-11T01:56:02.885Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/243955427-sr-data-analyst-term-at-rbc,,draft,2023-07-07T01:51:01.983Z,import-xml-feed:RBC-Job-Feed,,,,,,, +d28ca781-ec1f-45e2-af9d-c1c1a0f4e197,243955844,TELUS,Senior Project Manager - Data Platforms,on_site,"Ontario, Canada",2023-07-07T02:18:03.064Z,"
        +
        +

        Description

        -
        • Expert knowledge of data security solutions, data models, systems architectures, operational models, security techniques and standards such as NIST and the MITRE ATT&CK framework
        • Five plus years experience leading large, global teams, and 10+ years in data or Cybersecurity roles
        • Proven ability to engage and influence multi-disciplinary Executive Stakeholders
        • -
        -

        #LI-Hybrid #cyberatscotia

        -
        -

        -

        Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/Global-Head%2C-Data-Security/570669417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-03T15:57:04.998Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/241425102-global-head-data-security-at-scotiabank,https://jobs.scotiabank.com/job/Global-Head%2C-Data-Security/570669417/,draft,2023-06-30T15:52:02.993Z,import-xml-feed:Scotiabank,,,,,,, -3d54076c-9935-496a-88f2-4036b3c93a2c,241425101,Scotiabank,"Senior Manager, Account Management (Retail Credit Risk Strategy/Analytics)",on_site,Canada : Ontario : Toronto,2023-06-30T15:52:02.431Z,"

        -

        +

        We are looking for forward thinkers with Project Management experience, particularly in the data & analytics space, who can help expand our next generation analytics platform in GCP. Help us build an environment for analytics to prosper at TELUS.

        +


        Our Team and what we’ll accomplish together

        -

        Requisition ID: 178268

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

        -

        -

        Purpose of Job:

        +

        The Enterprise Analytics Platform team designs, implements and oversees the GCP analytics platform at TELUS. Known as the DataHub, our team architects and operationalizes the underlying infrastructure used to power data solutions that drive value and deliver results from analytics. Our platforms provide the organization with modern cloud native services, modern BI tools, DataOps methodologies and processes, and a self-serve data environment to test & learn and productionalize data models enabling data driven decisions. Our vision is to empower our TELUS business partners with a standardized platform utilizing infrastructure, policy and governance as code, setting guide rails for teams to develop their data & analytics use cases within our cloud data platform and BI toolsets.

        -

        The mandate of this role is to lead the development of credit risk lending strategies for all retail products to optimize risk/return for Canadian Banking. The incumbent will utilize their analytical, data mining, statistical, credit risk management and leadership skills to achieve success in this role.

        -

        The incumbent will ensure all strategies across various stages of account management, provide appropriate reporting and analysis to:

        -
        • Lead the strategy development and processes for credit limit management, authorization, pricing, re-issue, reviews, OTB management, and overlimit
        • Closely monitor performance to ensure each strategy decision area is delivering both optimal profitability and is aligned with the Bank’s Credit Risk Appetite
        • Drive continuous improvement in strategy effectiveness with focus on incremental profitability
        • Leverage Champion / Challenger capabilities wherever possible to confirm assumptions and justify changes
        • Identify root cause, making recommendations to senior management (VP+) and implementing any recommended changes to any / all of customer management business strategies
        • Work closely with business line partners to ensure customer management strategies, credit limits, authorization volumes, and marketing campaigns are within the Bank’s stated Risk Appetite.
        • Recommend changes to business line strategies to ensure the Bank does not take on more credit risk than planned, including a forward-looking assessment to ensure it is within Risk Appetite
        • Support the implementation of credit lending policies to ensuring consistency and adherence across different business units and channels
        • Introduce changes under a test/control framework to help drive unbiased, evidence-based decisions that improve key performance metrics
        • -
        -

        -

        This position requires technical expertise including experience with risk technologies, portfolio management and behavior scoring to optimize strategies, policies, and business rules. As well as a deep understanding of credit bureau information and processes

        +

        We are looking for enthusiasts who can help build our next generation solutions enabling best-in-class data platforms with a focus on expanding our capabilities while ensuring always available analytics in Google’s Cloud Platform. As the Sr. Project Manager, Reporting to the Director – Enterprise Analytics Platforms, you will lead and deliver data driven technology projects in collaboration with the Enterprise Analytics Platforms team. You will support digital transformation at TELUS by partnering with teams across the organization to make better use of their data. Use your strong communication, critical thinking and change management experience to assess the impact of transformation on our partner teams, the upstream and downstream systems and help clarify and define cloud-related business processes and best practices across TELUS.

        -

        Job Responsibilities:

        +

        What you’ll do

        -
        • -All Customer Management Strategies (Line Management, Authorization, Overlimit, Pricing, Re-issue, Review)
          • Design and develop portfolio segmentations for the purpose of optimization of sales/ profitability and credit risk using sophisticated data mining techniques. This includes identifying opportunities for better management of existing strategies and processes for credit limit, reissue, overlimit, pricing, and authorization
          • Lead long term strategies that identify the need for risk technologies. Lead cross-functional project teams to implement. Ensure risk technologies are fully leveraged post-implementation
          • Analyze and report regularly on performance of existing portfolio strategies deployed across Credit cards, Unsecured and Real Estate Secured Lines of Credit and Overdraft
          • Make recommendations on improvement of existing strategies, procedures, and policies
          • Promote best practices and leverage appropriate risk technologies for all strategy and policy changes
        • -Portfolio and Strategy Monitoring
          • Monitor, assess and evaluate various customer management strategies as well as overall portfolio performance. Through various dimensions of analysis, work closely with business partners to develop actionable tactical recommendations to enhance program effectiveness and profitability
          • Evaluate the performance monthly of risk-related strategies and liaise with business partners to assess current/emerging trends and impact to portfolio
          • Create a test and learn framework specific to portfolio strategies to identify future opportunities using applicable risk technologies, primarily TRIAD
          • Identify if any credit risks are or will become more than the Risk Appetite Framework. Move quickly to rectify including identifying root cause, making recommendations to senior management, and implementing changes to portfolio and business line strategies
        • -
        -

        -
        • -Support Business Line Initiatives/Projects
          • Work with GRM analytics, Canadian business, and product partners to ensure customer management strategies are developed using best practices including decision science and strategies follow divisional minimum standards
          • Work with business line partners to ensure business strategies across customer management are consistent with the Risk Appetite Framework (a forward-looking, prearranged amount of credit and other risk that the Bank is willing to take)
          • Identify opportunities and recommend changes to business line strategies to ensure the Bank does not take on more credit risk than planned
        • -
        -

        -
        • -Support TSYS Migration Project
          • Provide ongoing support to the TSYS Migration project team on risk functions, ensure all necessary data and functions are available post migration
        • -
        -
        • Redesign account management strategies where necessary to leverage the new functions available in TRIAD and TSYS
        • +
            +
          • Implement key strategic initiatives that provide a consolidated view including updates, delivery plans, compiling financial forecasts, tracking actuals, managing purchases, tracking material
          • +
          • Work closely with technical teams on the end to end delivery of platform upgrades, migrations and decommissions
          • +
          • Managing the overall portfolio budget (CAPEX & OPEX) by monitoring expenditures to ensure costs stay within the approved budgeted amount
          • +
          • Gathering and analyzing financial data to identify areas for improvement and to keep projects on budget and on time
          • +
          • Manage infrastructure deployment and software development projects.
          • +
          • Partner with internal and external teams to deliver on strategic initiatives.
          • +
          • Balance day to day workload with the demands of a fast-paced Agile delivery team
          • +
          • Facilitate and maintain relationships between organization and vendors/partners
          • +
          • Work with capital management, procurement and strategy teams to ensure our TELUS capital is managed effectively across the teams entire portfolio
          • +
          • Contribute to the establishment of a common set of practices, tools and templates for portfolio, program, and project-level management and ensure standards are being followed

          -

          Job Requirements:

          -

          -
          • Bachelor’s degree or higher in Business or quantitative field such as Finance, Economics, Sciences, Math, Engineering or Computer Science
          • 4-8 years of experience in an analytical role with 1-4 years of analytical experience in credit risk management, including statistical analysis and modeling, with successful track record of success in driving development and implementation of risk strategies or models in the financial sector
          • Proficient in use of SAS, SQL, Python, R or other programming languages
          • Experience in use of Tableau, Power BI, or other data visualization tools
          • Strong business acumen with advanced understanding of retail banking credit products
          • Strong communication and presentation skills complemented with solid problem-solving skills
          • Growth mindset with thoughful curiosity, proactiveness and passion for continuous learning
          • Solid interpersonal skills with ability to build judicious relationships and influence stakeholders
          • Proficiency in credit risk strategy building and implementation
          • Working knowledge of Angoss Knowledge Seeker, SAS Enterprise Miner/Viya or similar tools
          • Experience with TRIAD/TSYS or other account management systems would be an asset
          • -

          -

          Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/Senior-Manager%2C-Account-Management-%28Retail-Credit-Risk-StrategyAnalytics%29/570569817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-03T15:57:04.998Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/241425101-senior-manager-account-management-retail-credit-risk-strategy-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Senior-Manager%2C-Account-Management-%28Retail-Credit-Risk-StrategyAnalytics%29/570569817/,draft,2023-06-30T15:52:02.431Z,import-xml-feed:Scotiabank,,,,,,, -e642c37e-a931-41b6-9987-c3714624f747,237206029,Magna International,"Manager, PMO",on_site,"Aurora, ONTARIO, CA, L4G 0G9",2023-06-17T16:04:02.716Z,"
        -
        -

        Role Summary

        -

        The Project Management Office function has the mandate to provide cross enterprise project / program visibility; deliver standard project management methodology and business analysis, tools and resources for consistent and quality project execution; deliver qualified PMBA resources for initiatives as required; provide education and development for PMBAs across Global IT, and link to related activities such as Organizational Change Management.

        +
        -

        Key Responsibilities

        +

        Qualifications

        -

        Team Development & Management

        -
        • Recruit, supervise and lead the PMO NA team to ensure high service levels and customer satisfaction
        • Provides coaching and mentoring for NA team members to help them achieve individual effectiveness
        • Manages the P&L and Budget for the North American PMO team
        • Works closely with other members of Global IT and the BRM community to ensure the PMO is delivering on the needs of the organization
        • Executes an appropriate sourcing strategy combining internal as well as capacity on demand resources within region
        • -
        +

        What you bring

        -

        PMO Standards / Tools / Templates

        -
        • Supports the development and implementation of Magna Global IT Project Management & Business Analysis methodologies, tools and templates
        • Train and educate both PMO members as well as external PMBAs regarding these standards / tools / templates
        • Supports establishing governance mechanisms for successful project / program delivery
        • +
            +
          • 3-5 years of technical project management experience delivering IT Projects on Time, on Budget and with Quality
          • +
          • You have a proven track record of managing project schedules, partners & vendors identifying risks and clearly communicating goals to project stakeholders
          • +
          • Project Management experience in software automation, cloud migrations, hardware deployments & data analytics
          • +
          • Experience managing CAPEX / OPEX and effectively managing project spend
          • +
          • Familiarity with Scrum, SAFe agile frameworks to manage product delivery
          • +
          • Experience working with product owners to identify skill-sets and ensure backlog completeness including estimates
          • +
          • Experience with transformative data projects, product evolution and executing on strategic roadmap deliverables
          • +
          • Experience with user migration work and change management
          • +
          • Ability to foster collaborative working relationships with internal and external teams through leadership, embracing diversity and introducing new ideas
          • +
          • Innovative and out of the box thinking - you are curious and never stop learning
          • +
          • Ability to manage key deliverables, project status reporting, excellent communication and presentation skills as part of an extended project team and committed to working with engineers, developers, architects and product managers
          • +
          • Flexible in managing ambiguity, uncertainty and changing priorities
          • +
          • Skilled in using JIRA, Google Suite, and SAP
          • +
          • You are an exceptional communicator that excels at compelling storytelling and presentations
          • +
          • You have experience managing business stakeholders and engaging with many diverse technical teams to aligning deliverables
          • +
          • You can distill complex solutions and interactions to gain support and engagement with senior leaders and business stakeholders
          • +
          • You have experience working with IT vendors and corporate partners
          • +
          • Bachelor\'s degree in Technology, Engineering, Business or other technical disciplines

          -

          Portfolio Management

          -
          • Work closely with the BRM organization (NEED) and the Enterprise Architecture organization (PLAN) to help mature Magna’s Portfolio Management activities
          • Supports the delivery of capabilities to identify, prioritize, manage, monitor, and assess the status of all relevant IT projects across the organization
          • Supports the implementation and continuous improvement of an appropriately sized Portfolio Management program, using this to deliver analysis and status reporting on the portfolio within region
          • -
          -
        -
        -
        -

        Key Qualifications/Requirements

        -
        • Strong Project Management / Business Analysis skills
        • Excellent communication skills, analytical skills, problem solving & interpersonal skills
        • Demonstrated hands-on, collaborative approach; works well in a team
        • Proven skills in sharing information and expertise with others; delivering solutions, influencing, and root cause problem solving
        • Experience influencing the business leaders, balancing drive for continuous improvement with respect for local company culture and processes
        • Strong English communication skills
        • -
        -
        -
        -

        Knowledge and Education

        -
        • Bachelor's degree in Business, Project Management, Computer Science, or related discipline is required
        • CAPM, PMP or equivalent certification
        • Prosci certification an asset
        • -
        -
        -
        -

        Work Experience

        -
        • Supervisory Experience an asset
        • Minimum 3 years’ progressive experience managing IT projects with cross-functional stakeholders from IT and business groups
        • Knowledge of the theories, principles and practices around project management
        • Knowledge of the theories, principles and practices of business analysis and requirements gathering
        • Negotiation skills and political acuity
        • Interpersonal and oral/written communication skills to make presentations to senior management and other senior stakeholders
        • Exposure to Enterprise Architecture projects an asset
        • Exposure to Organizational Change Management projects an asset
        • -
        -
        -
        -

        Additional Information

        -
        -

        For dedicated and motivated employees, we offer an interesting and diversified job within a dynamic team together with the individual and functional development in a professional environment of a global acting business. Fair treatment and a sense of responsibility towards employees are the principle of the Magna culture. We strive to offer an inspiring and motivating work environment.

        -


        Regular overnight travel 10-25% of the time.

        -

        -

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

        -
        -
        -
        -

        Awareness. Unity. Empowerment.

        -

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

        -
        -
        ",,https://jobs.magna.com/job/Aurora-Manager%2C-PMO-ONTA-L4G-0G9/569317217/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-17T16:04:02.716Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206029-manager-pmo-at-magna-international,https://jobs.magna.com/job/Aurora-Manager%2C-PMO-ONTA-L4G-0G9/569317217/,draft,2023-06-17T16:04:02.716Z,import-xml-feed:Scrapy-Scraper,,,,,,, -1d95174c-0347-4538-abb8-fe0c92a07794,242608269,Magna International,Assembly Tool Maker,on_site,"Milton, ONTARIO, CA, L9T 4Z7",2023-07-03T16:04:03.308Z,"
        -
        -

        Role Summary

        -
        -

        The Tool and Die Maker is primarily responsible to service, maintain, and test new or existing tooling. This position will support production through trouble shooting problems during production and complete quality improvements as required to maintain part standards.

        -
        • Verifies conformance of machined or repaired tooling to specifications by checking dimensions, clearances and alignments
        • Modifies dies to conform to engineering changes, tryouts of new dies, etc.
        • Coordinate activities of apprentices, helpers, and assigned contractors.
        • Respond to ANDON calls in a timely manner to address and diagnose issues. Coordinate containment of any suspect parts.
        • Perform all duties in an environmentally responsible manner in accordance with the Karmax Environmental Policy Statement—3 P’s. Prevent Pollution, Preserve Natural Resources & Protect our Environment
        • Perform other duties as required.
        • +

          Great-to-haves

          +

          +
            +
          • Experience with Google Cloud Platform
          • +
          • Experience with FinOps and Cloud platform budget management
          • +
          • PMP, Agile, CSM certifications
          +

          +

        -
        -

        Minimum Job Requirements

        -
        • Grade 12 Education or GED
        • Certificate of Qualification Tool & Die Maker 430
        • Excellent written and verbal communication skills.
        • Excellent mathematical, analytical, and organizational skills
        • Able to perform various computer functions (Microsoft Office, Production Software)
        • Able to safely operate all Materials Handling Equipment (Forklift, crane, buggy) in assigned area of responsibility.
        • Able to set up appropriate tools in the department with use of cranes, forklift, and assist in determining and setting up spare part requirements
        • -
        -
        -
        -

        We Offer

        -
        -

        Hourly Rate: $42.65

        -
        • Shift premium of $1.00 for the afternoon shift and $1.25 for the night shift
        • Overtime premiums of 1.5x & 2x your hourly rate
        • A focus on safety, health and wellness; including our “Good for You” cafeteria.
        • Competitive compensation and flexible benefits.
        • Group RRSP with employer match.
        • Employee Profit Sharing Plan.
        • Education reimbursement program
        • All tools provided
        • Staff appreciation events.
        • Company paid uniforms, allowances for customized safety glasses, earplugs and boots.
        • An environment that focuses on Karmax’ Core Values; Integrity, Respect, Trust, Honesty, Fairness and Loyalty.
        • +
        ",,https://careers.telus.com/job/Toronto-Senior-Project-Manager-Data-Platforms-ON/571929817/,feed-importer@jobboard.io,,,,2023-08-06T02:18:03.064Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/243955844-senior-project-manager-data-platforms-at-telus,,draft,2023-07-07T02:18:03.064Z,import-xml-feed:Selenium-Scraper,,,,,,, +d1344dc9-afaf-44ff-996c-50c572bce5ce,236957244,Loblaw Companies Ltd,Digital Product Manager,on_site,"Ontario, Canada",2023-06-17T01:44:02.106Z,"
        +

        Referred applicants should not apply directly to this role.

        +

        All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

        +

        +

        +

        Location:

        500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

        +

        When you hire great people, great things can happen.

        +

        PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

        +

        +

        Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

        +

        +

        Please note: this posting is to pipeline for future needs

        +

        +

        Why This Role is Important

        +

        The Digital Product Manager will support planning and own delivery of key platform functionality such as new features, enhancements, architectural development, and reporting and analytics that deliver value across Digital, Call Center & Pavilion channels.

        +

        As one of the key leaders in product development, the Digital Product Manager will work with the technical & non-technical partners to represent the voice of the customer and the vision of the product throughout the product development process and present these as user stories to the engineering team.

        +

        The Digital Product Manager will bring strong leadership and organizational skills to bear to maintain a steady release plan.

        +

        What You\'ll Do

        +
          +
        • Own a product backlog and ensure they are prioritized to continuously remove customer friction and drive business value.
        • +
        • Own the end-to-end customer experience for money movement journeys
        • +
        • Lead product discovery working through sophisticated problems to generate ideas and solutions
        • +
        • Partner with colleagues across all levels of the organization to identify business challenges and gain alignment on the roadmap
        • +
        • Actively seek customer feedback, behaviors and analytics.
        • +
        • Run and own research on the customer as well as the market in order to build truly customer first solutions.
        • +
        • Active participant in scrum ceremonies such as refinement, story pointing, sprint planning and demos.
        • +
        • Define and implement a Minimum Viable Product (MVP) balancing between the digital strategy, execution of new features, and continuous optimization.
        • +
        • Be accountable for driving key metrics forward for the money movement outcome
        • +
        • Manage multiple and sometimes conflicting timelines.
        -
        -
        -
        -

        Additional Information

        +

        +

        +

        What You Bring

        +
          +
        • The successful candidate will hold a university degree, preferably in Business or Engineering
        • +
        • Minimum of 3-5 years of digital product management and agile/scrum experience.
        • +
        • Experience with agile/scrum software development methodology.
        • +
        • Flexibility to partner with stakeholders across all levels within and outside the organization.
        • +
        • Able to dive in to a problem area to pull insights and generate creative solutions.
        • +
        • Proficient presentation, analytical and problem-solving skills.
        • +
        • Proficient with analytics tools (Adobe, Google Analytics), agile project management tools (Jira and/or Miro) and remote user testing.
        • +
        • Ability to work independently and as part of a dynamic group.
        • +
        +

        +

        Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

        +

        +

        +

        Number of Openings:

        0

        +

        PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

        +

        +

        In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

        +

        +

        +

        Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

        +
        ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Digital-Product-Manager_R2000323210?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-07-05T01:49:01.795Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/236957244-digital-product-manager-at-loblaw-companies-ltd,,draft,2023-06-17T01:44:02.106Z,import-xml-feed:Loblaws-Job-Feed,,,,,,, +6005c707-6350-433b-9a3e-7abd2714fd6e,236957636,Google,"Principal Architect, Google Cloud",on_site,"Toronto, ON, Canada",2023-06-17T01:54:02.827Z,"
        Google Careers is temporarily undergoing maintenance. Some actions are unavailable. +
        ",,"https://careers.google.com/jobs/results/82824615656596166-principal-architect-google-cloud/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-07-04T01:59:03.250Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/236957636-principal-architect-google-cloud-at-google,,draft,2023-06-17T01:54:02.827Z,import-xml-feed:Google-Job-Feed,,,,,,, +233f4c28-0515-4ddf-bd27-0f450363aa42,236957640,Google,"Technical Program Manager III, Cellular System Validation",on_site,"Toronto, ON, Canada",2023-06-17T01:54:03.281Z,"
        Google Careers is temporarily undergoing maintenance. Some actions are unavailable. +
        ",,"https://careers.google.com/jobs/results/130845721105441478-technical-program-manager-iii-cellular-system-validation/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-07-04T01:59:03.250Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/236957640-technical-program-manager-iii-cellular-system-validation-at-google,,draft,2023-06-17T01:54:03.281Z,import-xml-feed:Google-Job-Feed,,,,,,, +a2119cb0-c289-4d72-87e6-91e5a68d4f24,236957641,Google,"Account Strategist, Engage, Google Customer Solutions",on_site,"Toronto, ON, Canada",2023-06-17T01:54:03.322Z,"
        Google Careers is temporarily undergoing maintenance. Some actions are unavailable. +
        ",,"https://careers.google.com/jobs/results/109400387829539526-account-strategist-engage-google-customer-solutions/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-07-04T01:59:03.250Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/236957641-account-strategist-engage-google-customer-solutions-at-google,,draft,2023-06-17T01:54:03.322Z,import-xml-feed:Google-Job-Feed,,,,,,, +2eca446b-1b94-4903-9446-8d6a0b6459fb,236957761,Borealis AI,General Application,on_site,"Ontario, Canada",2023-06-17T01:58:03.070Z,"

        Don\'t see a role for you? Please complete the form below to share your interest in Borealis AI!

        ",,https://www.borealisai.com/careers/?gh_jid=5432950002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-07-17T01:58:03.167Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/236957761-general-application-at-borealis-ai,,draft,2023-06-17T01:58:03.070Z,import-xml-feed:Borealis-AI-Job-Feed,,,,,,, +3cd33bf2-eba3-470c-b4cb-956d472d678e,236957753,Borealis AI,Senior Product Manager,on_site,"Ontario, Canada",2023-06-17T01:58:02.104Z,"
        +

        What’s the opportunity?

        +

        As a Sr. Product Manager on the Product team, you’ll get to lead multiple innovative AI products for the financial services industry and work closely with machine learning researchers and engineers, defining novel solutions to complex problems. In addition, you and your product teams will also be responsible for defining strategic product roadmaps for building and delivering products with high-impact business outcomes.At Borealis AI, you’ll be joining a team defining the future of Financial Services with state-of-the-art AI. Our mission is to think big and surpass what’s possible today to deliver competitive AI products. This is a rare opportunity to build the skills required to make machine learning work in the enterprise. You can find out more about our research areas at www.borealisai.com.

        +

        Your responsibilities include:

        +
          +
        • Leading multiple machine learning products within Capital Markets;
        • +
        • Defining and executing both short and long-term product strategies and roadmaps;
        • +
        • Discovering new opportunities and problems that are well-suited to be solved by ML
        • +
        • Building and maintaining relationships with senior technical stakeholders within RBC Capital Markets;
        • +
        • Defining and delivering POCs and scaling these out into full-fledged products;
        • +
        • Guiding ideas from discovery-to-development-to-deployment in the Capital Markets Environment.
        • +
        +

        You’re our ideal candidate if you:

        +
          +
        • You have 5+ years of experience working in capital market or a product role and 3+ years of product management experience;
        • +
        • You have a Master’s degree in a technical or quantitative field;
        • +
        • You have strong product leadership skills and the ability to own a portfolio of products end-to-end independently. You have a track record of successful product deliveries;
        • +
        • You have strong foundations in finance and experience in global markets;
        • +
        • You are well versed in the core areas of applied machine learning and have experience with machine learning platforms and deploying models at scale;
        • +
        • You are a strong collaborator and can influence both technical and business stakeholders;
        • +
        • You thrive in a fast-paced, dynamic environment.
        • +
        +

        What’s in it for you?

        +
          +
        • Opportunity to play a vital role in the development of leading-edge products;
        • +
        • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach their full potential;
        • +
        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
        • +
        • Leaders who support your development through coaching and management opportunities;
        • +
        • Ability to make a difference and lasting impact from a local-to-global scale.
        • +
        +

        About Borealis AI

        +

        Borealis AI, a RBC Institute for Research, is a research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

        +

        Inclusion and Equal Opportunity Employment

        +

        RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

        +
        ",,https://www.borealisai.com/careers/?gh_jid=6647220002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-07-05T02:03:04.362Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/236957753-senior-product-manager-at-borealis-ai,,draft,2023-06-17T01:58:02.104Z,import-xml-feed:Borealis-AI-Job-Feed,,,,,,, +aeb0067e-f790-49a4-a63b-1197d1681b04,236957475,RBC,Data Analytics Analyst,on_site,"Toronto, ON, Canada",2023-06-17T01:51:01.344Z,"
        +

        Come Work with Us!

        At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

        Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

        +

        Job Title

        Data Analytics Analyst

        +

        +

        Job Description

        +

        What is the Opportunity?

        +

        Assist Internal Audit RBC US teams in the research, development, and delivery of strategic and analytics initiatives to achieve Audit objectives in alignment with Internal Audit’s transformation goals. These initiatives affect operations and audit execution across multiple geographies and/or across multiple business units/platforms. Responsible for supporting the performance and quality of analytics that will provide continuous improvements of the audits that have been planned for the respective platforms.

        +

        +

        Support the business phases of the analytics lifecycle for the respective Internal Audit platform(s). Responsible for assisting in internal and external research, stakeholder management, collaborative requirement gathering, and a user-centric approach that in combination ensure technical solutions are both valuable and readily adopted across Internal Audit. Effectively collaborate closely with technical talent pools who transform proposed business cases into leading edge technological solutions. Strategically recommend and apply existing technology to reduce duplication of efforts and ensure the Internal Audit platforms have the skills and capacity to use and understand the technology available across Internal Audit. Responsible for researching and developing foundational analytics that support Internal Audit RBC US teams.

        +

        +

        What will you do?

        +

        Analytics Lab Support

        +
          +
        • Assist in the creation and maintenance of foundational data & analytics initiatives that provide continuous improvements of the audits that have been planned in the platform(s).
        • +
        • Support effective delivery of a pipeline of data analytics and automation initiatives that impact Audit execution activities globally across all regions and lines of business.
        • +
        • Acts as a peer to the Data Engineers and Data Scientists in the centralized Data Management & Analytics team (DMA).
        • +
        • Empowered to challenge and refine the value of analytics ideas as proposed by the auditors.
        • +
        +

        +

        Business Case Development and Adoption Support

        +
          +
        • Conduct research and identify opportunities for improving processes and technology: Externally, research best practices, emerging risks, and innovation across RBC and broadly throughout the financial sector. Internally, gather, understand, and analyse auditors’ pain points.
        • +
        • Size potential upside of deploying a solution across platforms, in line with your findings. In partnership with technical experts and other stakeholders, define and articulate ROI for your business cases for Executive Selection Committee approval.
        • +
        • Support technical builds and process reengineering aligned with business cases at every step of analytics lifecycle; engage auditors as needed and support user acceptance testing across your platforms.
        • +
        • Support the communication of ongoing work to broad Internal Audit audience and support creation of training materials and experiences for selected tools.
        • +
        +

        +

        Technological use and Reuse

        +
          +
        • Support the adoption of centrally developed data products in the platform with support from the DMA team.
        • +
        • Support global adoption of IA wide data initiatives.
        • +
        • Support technology use and reuse by having a thorough understanding of available and upcoming technology across the Internal Audit toolkit.
        • +
        • Assist in review of quarterly Audit plan for existing tool use to reduce duplication of efforts and to ensure technology provides expected return.
        • +
        • Support gathering and triage feedback for technical experts on an ongoing basis.
        • +
        +

        +

        Leadership & People Development

        +
          +
        • Mentor team members - assist with individual capability building and certification, grow the skillsets /capabilities of the team, transfer skills/knowledge, and demonstrate awareness of linkages and political forces.
        • +
        • Develop and maintain strong working relationships with team members, process stakeholders, support groups, business partner teams, to ensure collaboration and cooperation to meet timing of projects.
        • +
        • Continually demonstrate commitment to and application of RBC Leadership Model Behaviors.
        • +
        +

        +

        What do you need to succeed?

        +

        +

        Overall

        +
          +
        • Good understanding of programming languages (Python, SQL, R)
        • +
        • Strong understanding and experience using data visualization tools
        • +
        • Strong understanding of Data Analytics to optimize use
        • +
        • Knowledge of financial industry regulatory guidelines
        • +
        • Knowledge of auditing principles and techniques
        • +
        • Proficient written and oral communication skills
        • +
        • Proficient in project management
        • +
        • Ability to learn new and emerging technologies
        • +
        • Ability to work in a dynamically changing environment.
        • +
        +

        +

        Technical experience:

        +
          +
        • Proven ability to produce, conduct, and report on internal and external research, including qualitative and quantitative metrics
        • +
        • Demonstrated ability to calculate ROI for projects of various complexity and scale
        • +
        • Working knowledge of Python, SQL, Data Visualization, UX/UI
        • +
        • Working knowledge of Agile or other lean methodologies
        • +
        • Working knowledge of design, development, and implementation experience utilizing data technologies
        • +
        • Proficient analytical and problem solving skills
        • +
        • Proficient data profiling, cleaning, and mining
        • +
        • Ability to perform complex data analysis on large volumes of data and present findings to stakeholders
        • +
        • Proficient data extract, transform, and load processes with a variety of data types
        • +
        • Experience with big data technologies – Hadoop (Pig, Hive), noSQL/SQL databases, parallel processing techniques and Apache Spark
        • +
        +

        +

        Leadership and People Management experience:

        +
          +
        • Demonstrates they have successfully worked in inclusive and diverse work teams
        • +
        • Proven ability to multitask and prioritize activities; across borders and cultures
        • +
        • Experience working as a team member on a special project, over an extended period of time
        • +
        +

        +

        What’s in it for you?

        +

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

        +
          +
        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
        • +
        • Leaders who support your development through coaching and managing opportunities
        • +
        • Ability to make a difference and lasting impact
        • +
        • Work in a dynamic, collaborative, progressive, and high-performing team
        • +
        • Opportunities to do challenging work
        • +
        • Opportunities to building close relationships with clients
        • +
        +

        +

        The good-faith expected salary range for the above position is $65,000 - $105,000 depending on factors including but not limited to the candidate’s experience, skills, registration status; market conditions; and business needs. This salary range does not include other elements of total compensation, including a discretionary bonus and benefits such as a 401(k) program with company-matching contributions; health, dental, vision, life and disability insurance; and paid time-off plan.

        +

        RBC’s compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that:

        +

        · Drives RBC’s high performance culture

        +

        · Enables collective achievement of our strategic goals

        +

        · Generates sustainable shareholder returns and above market shareholder value

        +

        +

        USAUDIT23

        +

        +

        +

        Job Summary

        Assist Internal Audit RBC US teams in the research, development, and delivery of strategic and analytics initiatives to achieve Audit objectives in alignment with Internal Audit’s transformation goals. These initiatives affect operations and audit execution across multiple geographies and/or across multiple business units/platforms. Responsible for supporting the performance and quality of analytics that will provide continuous improvements of the audits that have been planned for the respective platforms.

        Support the business phases of the analytics lifecycle for the respective Internal Audit platform(s). Responsible for assisting in internal and external research, stakeholder management, collaborative requirement gathering, and a user-centric approach that in combination ensure technical solutions are both valuable and readily adopted across Internal Audit. Effectively collaborate closely with technical talent pools who transform proposed business cases into leading edge technological solutions. Strategically recommend and apply existing technology to reduce duplication of efforts and ensure the Internal Audit platforms have the skills and capacity to use and understand the technology available across Internal Audit. Responsible for researching and developing foundational analytics that support Internal Audit RBC US teams.

        Address:

        Jersey City, New Jersey, United States of America

        City:

        USA-NJ-JERSEY CITY

        Country:

        United States of America

        Work hours/week:

        40

        Employment Type:

        Full time

        Platform:

        Internal Audit

        Job Type:

        Regular

        Pay Type:

        Salaried

        Posted Date:

        2023-01-12-08:00

        Application Deadline:

        2023-03-07-08:00
        +

        Inclusion and Equal Opportunity Employment

        +

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

        +
        +

        Join our Talent Community

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

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

        +
        ",,https://jobs.rbc.com/ca/en/job/R-0000044443/Data-Analytics-Analyst,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-07-05T01:56:04.198Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/236957475-data-analytics-analyst-at-rbc,,draft,2023-06-17T01:51:01.344Z,import-xml-feed:RBC-Job-Feed,,,,,,, +fae64a9d-9b43-464d-b72d-eb57eabb38c6,236957477,RBC,"Sr. Manager, Reporting & Analytics - USCM Tech",on_site,"Toronto, ON, Canada",2023-06-17T01:51:01.553Z,"
        +

        Come Work with Us!

        At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

        Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

        +

        Job Title

        Sr. Manager, Reporting & Analytics - USCM Tech

        +

        +

        Job Description

        +


        RBC has made the strategic decision to become a Disruptor in the U.S. Cash Management space. By starting this journey, there is a significant opportunity to evolve and capitalize on a $100 Billion Dollar market segment in the U.S. In support of this vision, RBC aims to offer a frictionless, embedded payment and liquidity experience for its clients. While RBC has an established Cash Management business in Canada, the U.S. based group will be built from scratch and anchored in a technical/digital play vs. a traditional play, enabling the Bank to compete with new entrants in this space.

        +

        +

        What is the opportunity?

        +

        The US Cash Management (USCM) Technology team is undertaking a green field project to build a brand-new system to serve corporate clients. In this role, you will be responsible for the overall collection, accuracy, and reporting of USCM Tech initiatives. ​

        +

        Identifies and collects data sources, analyzes and extracts key data and information, evaluates and monitors data quality to meet the organization\'s information system needs and requirements. Applies advanced in-depth and/or broad knowledge, considered a top resource across the organization.

        +


        What will you do?

        +
          +
        • Reporting and Shared Knowledge:
            +
          • Manage the USCM Tech reporting calendar
          • +
          • Prepare routine internal portfolio reporting for team leadership on initiative status (financials, risks, benefits)
          • +
          • Coordinate portfolio reporting to senior executives (incl. T&O, Group Heads, Board of Directors, etc.)
          • +
          • Administer and maintain tools environment for enterprise reporting on behalf of USCM Tech team
          • +
          • Ensure consistent reporting processes, approach and tools are in place (factoring in regional differences)
          • +
          • Update tools and sites to support shared knowledge and ensure adherence and use of standardized tools and process
          • +
          +
        • +
        • Data Analytics
            +
          • Subject Matter Expert on gathering development of reporting tools, quality control and measurement of data.
          • +
          • Responsible for bringing leading industry best practices into reporting and analytics design solutions for USCM Tech to the table for senior management to review
          • +
          +
        • +
        • Identify opportunities for continuous improvements
        • +
        • Relationship and Communication
            +
          • Provides executives and senior management with timely updates on project issues and manages communications including status reports
          • +
          • Effectively communicates and builds rapport with team members, stakeholders and interface groups across USCM using a variety of techniques and collaboration from initiation to close
          • +
          • Interacts with executives and senior management on the full range of matters related to USCM Tech reporting and analytics
          • +
          +
        • +
        +
        • Operational Risk, Compliance and Audits
            +
          • Ensures operational risk activities are effectively managed and addressed.
          • +
          • Proactively monitors and ensures risk management deadlines are met and issues resolved on a timely basis.
          • +
          +
        +

        Must have:

        +
          +
        • Experience with financial operations
        • +
        • 7+ years of project management experience with at least 3-5 years’ experience with large projects portfolios
        • +
        • +Demonstrated data analytic & reporting experience
          • Experience using Tableau, SharePoint, Microsoft Office suite, JIRA and Confluenence
          +
        • +
        • +Strong client-focus and responsiveness to business needs
          • Experience in dashboard development
          +
        • +
        • Well-developed communication and presentation skills including executive interaction
        • +
        +

        Nice to have:

        +
          +
        • PMP Certified or equivalent
        • +
        • Basic financial accounting knowledge
        • +
        • Exposure to financial services and/or financial products.
        • +
        +

        +

        What\'s in It for You?

        +

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

        +
          +
        • Positive work culture emphasizing diversity and inclusion, volunteerism, and community involvement
        • +
        • A comprehensive Total Rewards Program including great benefits, annual incentive program and recognition
        • +
        • Leaders who support your development
        • +
        • A dynamic, collaborative, and high-performing team
        • +
        • Opportunities to do challenging work and grow your career
        • +
        • Work-life integration
        • +
        +

        +

        +

        +

        Job Summary

        +

        Address:

        TORONTO, Ontario, Canada

        City:

        CAN-ON-TORONTO

        Country:

        Canada

        Work hours/week:

        37.5

        Employment Type:

        Full time

        Platform:

        Technology and Operations

        Job Type:

        Regular

        Pay Type:

        Salaried

        Posted Date:

        2023-02-24-08:00

        Application Deadline:

        2023-02-27-08:00
        +

        Inclusion and Equal Opportunity Employment

        +

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

        +
        +

        Join our Talent Community

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

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

        +
        ",,https://jobs.rbc.com/ca/en/job/R-0000049039/Sr-Manager-Reporting-Analytics-USCM-Tech,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-07-05T01:56:04.198Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/236957477-sr-manager-reporting-analytics-uscm-tech-at-rbc,,draft,2023-06-17T01:51:01.553Z,import-xml-feed:RBC-Job-Feed,,,,,,, +92e7ed8d-3dcf-4727-83f6-b30d84269560,236805009,Bell Canada,"Sr. Product Manager, Network Solutions",on_site,"Toronto, Ontario",2023-06-16T19:22:05.049Z,"

        Req Id: 411414 


        At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content - we advance how Canadians connect with each other and the world.


        If you’re ready to bring game-changing ideas to life and join a community that values professional growth and employee wellness, we want you on the Bell team. 


        Our Bell Business Markets team enables the digital transformation of businesses and governments nationwide through solutions in areas including Internet and private networks, voice and unified communications, contact centre, security, Internet of Things, data centre and cloud. We’re proud to be Canada’s leading provider of broadband network and communication services for businesses and governments.

         

        +
        +
        +

        Role Description

        +
        +
        +

        +

        As the Senior Product Manager for Network Solutions, you will be the subject matter expert working closely with our partners, technology, incubation, sales and marketing teams to provide thought leadership to help Canadian businesses stay connected. You will be a key member of the Advanced Products & Solutions (APS) team and will leverage your leadership, technical acumen, business intelligence and finance skills to accelerate the development and growth of the next generation of networking solutions including SD-WAN, Managed Wi-Fi and Managed LAN

        +
        +
        +
        +
        +

        Key Responsibilities

        +
        +
        +

        +
          +
        • Define and execute the product strategy and associated roadmap for network solutions (e.g. SD-WAN, security, and Cloud Services).
        • +
        • Be an expert with respect to customer needs, market trends and competitor products
        • +
        • Work collaboratively with cross-functional teams including development, Delivery Technology, IT, marketing and sales to ensure the product is developed and launched successfully.
        • +
        • Identify and pursue opportunities for product simplification, improvement in the end-to-end product offering, and overall customer experience
        • +
        • Manage all aspects of in-life products, including customer feedback, new requirements, and/or product issues
        • +
        • Work with external vendors to assess partnerships and licensing opportunities
        • +
        • Work with marketing to develop value propositions, sales tools, and product collateral
        • +
        • Provide active support to both Sales and Account Architects on customer engagements
        • +
        • Act as the internal champion for their portfolio
        • +
        +
        +
        +
        +
        +

        Critical Qualifications

        +
        +
        +

        +
          +
        • Minimum of 5+ years experience as a Product Manager and/or Product Marketing (experience in product lifecycle is essential)
        • +
        • Demonstrated success defining and launching excellent products
        • +
        • Experience and knowledge regarding SD-WAN, security solutions, and cloud services
        • +
        • Familiarity of connectivity solutions (Internet, private, and wireless networks)
        • +
        • Bachelor’s degree in Business, Engineering, Mathematics and/or Computer Science (MBA a bonus
        • +
        • Excellent teamwork skills
        • +
        • Proven ability to influence cross-functional teams without formal authority
        • +
        • Excellent verbal communication, presentation skills, and writing proficiency.
        • +
        • Working knowledge of Scrum and Agile principles is an asset.
        • +
        • Bilingualism in French and English would be a strong asset
        • +
        +

        +

        #Tech #Talent #Indeed #LinkedIn

        +
        +
        +

        #EmployeeReferralProgram  

         

        Adequate knowledge of French is required for positions in Quebec. 

         

        Additional Information:

        Position Type: Management 
        Job Status: 
        Regular - Full Time 
        Job Location:
        Canada : Nova Scotia : Halifax || Canada : Ontario : Mississauga || Canada : Ontario : Ottawa || Canada : Ontario : Toronto 
        Work Arrangement: Hybrid
        Application Deadline: 03/03/2023

         

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

         

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

         

        At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

         

        Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

         

        Created: Canada, ON, Toronto

         

        Bell, one of Canada's Top 100 Employers.

        ",,https://jobs.bell.ca/ca/en/job/BECACA411414EXTERNALENCA/Sr-Product-Manager-Network-Solutions?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2023-07-16T19:22:05.055Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/236805009-sr-product-manager-network-solutions-at-bell-canada,BECACA411414EXTERNALENCA,draft,2023-06-16T19:22:05.049Z,import-xml-feed:Bell-Canada,,,,,,, +483b0b76-3bf7-4f1d-a9d2-62bfa7e0675e,237205991,TD Bank Group,MuleSoft Solution Design IT Specialist,on_site,"Toronto, ON",2023-06-17T15:53:01.843Z,"
        +

        Company Overview

        +
        +

        Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

        +

        Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

        +
        +

        +

        Department Overview

        +
        +

        Building a World-Class, Diverse and Inclusive Technology Team

        +

        We can’t afford to be boring. Neither can you. The scale and scope of what TD does may surprise you. The rapid pace of change makes it a business imperative for us to be smart and open-minded in the way we think about technology. TD’s technology and business teams become more intertwined as new opportunities present themselves. This new era in banking does not equal boring. Not at TD, anyway.

        +

        Within TD Technology, the Business Banking Credit & Sales Technology Team owns a number of Technical Applications that cover the Sales and Credit underwriting needs of Small Business Banking and Commercial Banking. We are undertaking a huge multiyear Modernization journey and we are excited to add some new members to our amazing team.

        +

        There’s room to grow in all of it.

        +
        +

        +

        Job Description

        +
        +

        About This Role

        +

        The Business Banking Credit and Sales modernization team is seeking an experienced Senior IT Specialist to join our team, providing Overall Technical Design, Development, Process Improvements, and training/mentoring as necessary.

        +

        The primary accountabilities for this position are:
        • Continuously evolve design processes, including experimentation and learning with emerging methodologies
        • Produce all required design specifications (as per TD standards), work with the Application Owner, Development Manager, Solution Architect and Project Managers to create detailed technical task lists, provide technical guidance to the project team, and enforce TD project standards and best practices
        • Must be a self-starter, demonstrated ability to take independent action to achieve results.
        • Conduct program/ system research, analysis, detailed design and problem resolution
        • Define development specifications and identify system modifications required to meet performance objectives
        • Ensure design has traceability to business requirements
        • Advise and provide expert knowledge on the technical feasibility of the proposed deliverables
        • Identify and address application and data issues and cross-capability and cross-release issues that affect application integrity.
        • Work with Developers to ensure that the detailed technical design is fully understood, and the development initiatives are in line with the intended design
        • In conjunction with the Solution Architect, assist the Application Owner, Development Manager and Application Manager by providing effort estimates for new projects and initiatives
        • Develop, implement, maintain and improve solutions/processes that maximize system availability, efficiency/ effectiveness and minimize/prevent problems/ issues
        • Deliver effective and efficient solutions by meeting key project milestones and overall project deliverables on time, within budget, and adhering to development and quality standards
        • Ensure defect free programming by testing and debugging using available/appropriate tools and participate in reviewing peer coding
        • Adhere to standard security coding practices to ensure application is free of most common coding vulnerabilities
        • Ensure the timely completion of work volumes on a daily basis and suggest opportunities to improve efficiency within the department
        • Work effectively as a team, supporting other members of the team
        • Comply with agile methodology, system development life cycle (SDLC) and project management methodology (PMLC)
        • Consult on development of the System Requirements Specification (SRS) with Business Analysts.

        +
        +

        +

        Requirements

        +
        +

        What can you bring to TD? Share your credentials, but your relevant experience and knowledge can be just as likely to get our attention. It helps if you have:

        +

        • 8+ years’ experience in integration (API/Batch/Event) Development/Design/Architecture is a must.
        • 3+ years of design and development experience in Mule 4.0 with both on-premises and Cloudhub implementations.
        • Hands on experience with MuleSoft APIM, SWAGGER & RAML spec design, API proxy management, and security policy.
        • Understand and implement Dataweave scripts.
        • Deploy APIs to Cloudhub, Runtime Fabric, On-prem workers, etc.
        • Practice API-Led Connectivity
        • Analyze and designs the system requirements
        • Communicate with the development team and stakeholders
        • Create/Manage Basic CI/CD Pipelines (Maven Plugin, Jenkins, Bamboo, etc.)
        • Experience with SOAP, WSDL, XML, REST, RAML and JSON.
        • Experience with Mule API Gateway and good understanding of Mule security.
        • Java programming skills, working experience with JDBC, JMS, Salesforce and nCino is a plus.
        • Creative problem solver, ability to understand, develop, enhance, and support highly customized applications
        • Maintain and enforce high quality design documentation, coding standards, security standards, monitoring rules,
        • Familiarity with tools like Bitbucket/Git, Eclipse, RAD, JIRA, and Confluence.
        • Strong verbal and written communication skills are essential
        • Superior multi-tasking skills and the ability to work in a fast paced, deadline-oriented and complex environment/systems
        • Build personas, storyboards, flowcharts, wireframes and prototypes
        • Work closely with other designers, architectures, and engineers to ship extraordinary products and experiences
        • Design flows and experiences that are incredibly simple and elegant
        • The chosen candidate will work in a high paced team on a high visibility project. He/she will be expected to work in an agile environment and be able to consistently deliver quality work
        • Effectively communicate research findings, conceptual ideas, detailed design, and design rationale both verbally and visually
        • Develop software that is both reliable and scalable as the eventual user base will be the entire bank
        • In depth understanding of full application stacks and the ability to work in any layer (client/server/business/database)
        • Effective time and task management skills, including the ability to manage concurrent deliverables
        • Ability to code, debug, research, analyze and problem-solve development issues
        • Knowledge of business/ organization, Bank standards, infrastructure, architecture and technology in related areas from a design/ support/ solutions perspective
        • Strong customer orientation and a professional approach with the ability to interact with all levels within the organization
        • Demonstrated ability to grasp and translate technical concepts, think independently, and take the initiative required to resolve issues in a team structure
        • Self-motivated team player with high energy and ability to work independently as well as within a team
        • A positive can-do attitude with openness to promoting knowledge sharing

        +
        +

        +

        Additional Information

        +
        +

        Join in on what others in TD Technology Solutions are doing:

        +
          +
        • Inspire a positive work environment and help champion quality, innovation, teamwork and service to the business.
        • +
        • Learn voraciously, stretch your thinking, share your knowledge and educate others.
        • +
        • Communicate and collaborate with both technical and non-technical professionals.
        • +
        • Cultivate winning relationships by building trust with business and technology partners.
        • +
        • Share our commitment to productivity, effectiveness and operational efficiency.
        • +
        • Embrace change and witness amazing things happen – from the inside.

          Make your mark. Join a dynamic team. Explore new ideas. This is your opportunity to impact the future of banking technology in areas and ways you’ve never imagined (at a bank)! Visit techjobs.td.com to learn more.

          +
        • +
        +
        +

        +

        Hours

        +
        37.5
        +

        +

        Inclusiveness

        +

        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

        +

        +
        ",,https://jobs.td.com/en-CA/jobs/18306771/mulesoft-solution-design-it-specialist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-07-17T15:53:01.852Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237205991-mulesoft-solution-design-it-specialist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18306771/mulesoft-solution-design-it-specialist-toronto-ca/,draft,2023-06-17T15:53:01.843Z,import-xml-feed:TD-Bank-Group---Job,,,,,,, +f8bc1415-72b7-4a44-8fd2-77b440a83d76,237205980,Scotiabank,Technical Product Manager - CID&A,on_site,Canada : Ontario : Toronto,2023-06-17T15:52:05.420Z,"

        +

        +

        +

        +

        Requisition ID: 179342

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

        +

        +

        Purpose:

        +

        +

        Technical product managers spend much of their time on how things get implemented and what technology is required to meet business requirements. Our team is looking for someone to join us and hold direct responsibility for technical aspects surrounding enterprise product development. You will work closely with the Product Owner to realize the product vision for our product, Universal Catalog.

        +

        +

        Your role will involve the following:

        +



        • Collaborate with product team, operations team, development team, and technical use cases to create and execute product features and capabilities (i.e.., User Research, demos, feedback sessions, and education sessions)
        • Analyze customer needs and make them into requirements, ensuring they are fully understood, and that any implementation plans meet expectations.
        • Assess new technology capabilities to measure their value potential to the portfolio.
        • Liaise with the team’s architects to define the product’s technical vision
        • Evaluate and deal with technical risks.
        • Contribute to the solidification of a product road map.
        • Build and own execution plans to meet product goals.
        • Assist the Product Owner with the management of the product backlog, write user stories when needed, and prioritize them based on changing requirements.
        • Ensure technical requirements are fully understood and execution plans match expectations.
        • Monitor and evaluate product progress at each stage of the execution process.
        • Work with product operations to consult on scalable user training.
        • Deepen domain expertise to answer questions related to the product and its capabilities from a technical lens.
        • Coach junior members of the product team to think in terms of holistic requirements.
        • Lead product documentation efforts and own documentation standards.
        • Develop product team testing standards.
        • Implement beta test scenarios to validate new feature ideas.
        • Analyze product metrics and data to identify improvement opportunities.
        • Participate in Scrum meetings, design meetings, Sprint Planning, Sprints, and Retrospectives
        • Serve as a product evangelist and SME to the technical/development community.
        • Promote product-led culture, and good data citizenship across CID&A, and Scotiabank.


        About DEA & the Universal Catalog product team

        The Data Enablement Architecture and Universal Catalog teams work to bring trust, understanding and ease of use to data product teams within CID&A.

        Universal Catalog (UC) has enabled the collection of a broad range of technical, operational, and business metadata across multiple lines of business in support of our data standards and Playbook. Moving forward, UC aims to become the user-friendly answer to data enablement, governance, understanding, and data access problems across the bank.

        Keys to success:

        +


        • Advanced knowledge of Agile methodologies.
        • Strong analytical and problem-solving skills.
        • Strong communication skills, written and verbal.
        • Strong technical knowledge of data management, software development
        • Customer-oriented thinking

        +


        +

        +

        Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/Technical-Product-Manager-CID&A/571038917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-26T15:57:02.883Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/237205980-technical-product-manager-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Technical-Product-Manager-CID&A/571038917/,draft,2023-06-17T15:52:05.420Z,import-xml-feed:Scotiabank,,,,,,, +eeb93bdc-63db-482b-a075-282e001b157c,237206047,Magna International,"Senior Category Manager, Equipment & Services",on_site,"Aurora, ONTARIO, CA, L4G 0G9",2023-06-17T16:04:06.718Z,"
        +
        +

        Role Summary

        +
        +

        +

        The Senior Category Manager position is responsible for developing and implementing the regional supply base strategies for divisions in North America, ensuring that the strategy is specific, fact-based, comprehensive, consistent, well-communicated and delivers superior financial returns and a competitive advantage to the business. In addition, the Sr. Category Manager ensures that the strategy developed is dynamic and responsive to the market, customer, supplier, and company needs. This individual has primary responsibility for the supplier relationship and drives supplier selection, development, and overall supplier management. The Senior Category Manager works with the Group Purchasing Leads to ensure a shared vision and alignment with overall business objectives. This role will be involved, to varying degrees, with all aspects of the strategic sourcing process, including project planning, specifications development, supply market research and supplier engagement, evaluation, selection, and new supplier implementation. Leads strategic sourcing activities for assigned sub-categories of spend, capturing savings through purchasing volume, leveraging, and negotiating price, working capital, and TCO contracts with suppliers in support of company goals and objectives.

        +
        +
        +
        +

        Key Responsibilities

        +
        +

        +
        • Develops procurement and sourcing strategies for Magna divisions in Canada, US and Mexico for certain indirect equipment and supplies categories in terms of quality, delivery, service, and total cost
        • Gathers, reviews and analyzes business and industry data including details on spend and other key metrics to evaluate options and opportunities for the business
        • Provides fact-based understanding of bottom-line benefit of all decisions and opportunities
        • Develops expertise in assigned spend categories
        • Develops cost and scenario analysis, cost breakdowns and benchmark, including evaluation of cost drivers to support negotiation strategies to reach best cost and optimal terms, while at the same time assessing and mitigating risks
        • Leads cross-functional teams in design and execution of category sourcing strategies
        • Initiates/leads/participates in annual cost reduction and other value improvement projects
        • Coordinates all supplier issues with applicable functional organizations
        • Performs financial analysis and business case justification for project opportunities to present to senior leadership
        • Establish bid standards and prepares procurement documents to solicit bids and contracts for the purchase and/or lease of equipment, supplies and related materials and services, conducts and manages the process for the evaluations of proposals, offers and bids
        • Leads, manages, and negotiates contracts and supply agreements in support of overall goals and objectives
        • Leads internal reviews of contracts with required functional areas such as Legal, Finance, etc
        • Establishes and manages key supplier performance goals and objectives; communicates periodic results to plan and manage top-level continuous improvement; develops keen awareness of industry performance benchmarks
        • Keeps abreast of professional developments and manufacturing techniques; maintains continuous in-depth knowledge of industry trends, market conditions, and developing techniques
        • Coordinates with divisions and new products buying functions to integrate common suppliers/technology
        • Initiates, recommends, or provides solutions through designated channels
        • Performs other duties as assigned
        • +
        +
        +
        +
        +

        Key Qualifications/Requirements

        +
        +

        +

        Knowledge and Education

        +

        +
        • MBA preferred, Bachelor’s Degree required, preferably in Purchasing, Supply Chain, Finance, Business, or Engineering
        • Business finance training is desired
        • Highly Capable in Microsoft Excel, PowerPoint, and ability to support and lead data analytics
        • Excellent communication, project management, and relationship building skills
        • Strong organizational and presentation skills
        • +
        +

        +

        Work Experience

        +

        +
        • Minimum 5 years management experience in automotive, related manufacturing industry or a large multi-plant enterprise
        • 7+ years purchasing experience, including procurement expertise in indirect commodities, purchase and/or lease of equipment, supplies and related materials and services
        • Proven success in achieving cost improvements through effective negotiations
        • Demonstrates ability to work effectively with different teams in different environments
        • +
        +
        +
        +
        +

        Skills and Competencies

        +
        +

        +
        • Works on extremely complex problems where analysis of situations or data requires an evaluation of intangible variables.
        • Analytical thinking and problem solving
        • Ability to pull, analyze data to deliver logical conclusions and present data-driven opportunities and solutions using analytic tools and technologies
        • Ability to develop and execute strategies
        • Resourcefulness and ability to devise creative solutions to problems
        • Understand industry and market trends, supplier base, and supplier economics for category
        • Exercises independent judgment in developing methods, techniques, and evaluation criteria for obtaining results.
        • Ability to effectively communicate and influence key stakeholders to support proposed strategies, process improvements and operational decisions
        • Ability to manage and prioritize multiple simultaneous projects with minimal direction
        • Strong negotiations, persuasive, and effective decision-making skills.
        • Strong understanding of contract language
        • Proficient verbal and written communication skills and financial acumen to deliver results in a fast-paced environment
        • Competence in writing reports and making presentations to highlight the effect of cost analysis and changes proposed

        • High proficiency in Microsoft Excel, PowerBi, PowerPoint and Word

        • Hands on experience with spend analytics and IT software

        • Experience with RFx strategy development and use of e-Sourcing tools

        • Interprets and complies with Company policies, procedures, and regulations

        • +
        +
        +
        +
        +

        Additional Information

        +
        +

        +

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

        +

        +

        Work Environment

        +

        +
        • Normal amount of sitting or standing, average mobility to move around an office environment, able to conduct normal amount of work at a computer
        • May require travel
        • +
        +

        +

        Special Requirement

        +

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

        Awareness. Unity. Empowerment.

        +

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

        +
        +
        ",,https://jobs.magna.com/job/Senior-Category-Manager%2C-Equipment-&-Services/569235417/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-03T16:09:04.525Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206047-senior-category-manager-equipment-services-at-magna-international,https://jobs.magna.com/job/Senior-Category-Manager%2C-Equipment-&-Services/569235417/,draft,2023-06-17T16:04:06.718Z,import-xml-feed:Scrapy-Scraper,,,,,,, +12af864d-2732-4be0-87c5-abe6c08d4d5a,237206019,EllisDon,Microsoft Power Platform Specialist,on_site,"Mississauga, ON L4Y1M4, CAN Mississauga, ON L4Y1M4, CAN",2023-06-17T16:04:02.264Z,"

        Job Details

        Description

        +

        Connect with us LinkedIn, Instagram, Facebook, Twitter.

        +

        Do you want to build the software that builds cities? EllisDon’s construction technology team is made up of Full-Stack Developers, Data Analysts, UX Designers, Product Owners, IT Operations and we’re growing fast! Our team also includes some of the best digital modelers and BIM specialists in the industry, experts who are working with the latest tech on projects in the billions of dollars.

        +

        We are a software development studio of 140+ people, backed by one of Canada’s top construction firms, with over 70 years in the industry and completing over $5 billion of work each year. We build software that is solving real-world problems on some of Canada’s largest construction projects.

        +

        Above all, we at EllisDon work hard to deliver great careers to one another. We choose to celebrate the strength in our differences, every day. EllisDon’s commitment to Inclusive Diversity is to work together to create an environment where every employee feels safe to be their true and authentic self. Ultimately, EllisDon’s purpose is to provide people with similar values the opportunity to achieve their full potential; to deliver that opportunity for great careers to one another; and to contribute meaningfully to the community we share with others.

        +

        In case you’re curious, here’s what the industry thinks of us and some of the impacts we've made to the communities we work in.

        +

        You as a Microsoft Power Platform Specialist:

        +
          +
        • Be responsible for governance and security of the Power Platform
        • +
        • Be responsible for developing applications using Microsoft Power Platform components, such as Power Apps, Power Automate and Power Virtual Agents, among others.
        • +
        • Act as an internal expert in terms of the assigned system and is responsible for knowing what changes have been made to the base system. Plays a critical role in delivering high-quality service and support to various levels of internal users.
        • +
        • Assist in the evaluation, development, and implementation of company systems, including custom developed, off-the-shelf, and/or hosted solutions.
        • +
        • Automate business processes with Power Apps and Power Automate; outputs will include data visualization and low code applications.
        • +
        • Work directly with clients collecting and identifying functional requirements and support various projects and solutions.
        • +
        +

        This is the right role for you, if you have:

        +
          +
        • A University degree in Computer Science or equivalent
        • +
        • 8 years of F/T industry-level experience
        • +
        • 5+ years experience with Power Platform (Power Apps, Power Automate) or .NET platform (C#) and relational databases at least at seminar / diploma thesis level.
        • +
        • Proven experience creating efficiencies within organizations through implementing Power Platform and Microsoft 365 solutions
        • +
        +

        EllisDon is proud to provide this unique career opportunity that provides continuous learning, opportunity for growth, and a competitive compensation package within an environment that is committed to inclusion and respects diversity.

        +

        Go ahead and be yourself. We'll pay you for it!

        +

        We are an equal opportunity employer. We welcome people of any age, culture, subculture, gender identity or expression, sexual orientation, nationality, ethnicity, race, size, mental or physical status, veteran status, religion, language, political opinion, working-style preference, family status, education, and socio-economic status. The EllisDon core values of Integrity and Mutual Respect welcomes everyone, at work and in the community, and our value of Mutual Accountability, means that we all have a role to play. As an EllisDon employee, this will ultimately be your commitment to Inclusive Diversity.

        +

        Accommodation for Applicants with disabilities will be made during the recruitment process when requested.

        +

        We are committed to providing a positive candidate experience and ensuring timely updates are provided to all candidates. If you haven’t already, be sure to create a profile on our Careers page here to remain up to date on the status of your application and learn about new career opportunities as they arise.

        Qualifications

        Skills

        Behaviors

        :

        Motivations

        :

        Education

        Experience

        Licenses & Certifications

        ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=950c53bf-e031-49f4-9f3e-698f7a3ca017,feed-importer@jobboard.io,,,,2023-07-10T16:09:03.095Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206019-microsoft-power-platform-specialist-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=950c53bf-e031-49f4-9f3e-698f7a3ca017,draft,2023-06-17T16:04:02.264Z,import-xml-feed:Scrapy-Scraper,,,,,,, +0b29dfb5-8cc4-4e4b-b7c7-132e987a3f57,237622696,Magna International,Payroll & Benefits Administrator (20 Month Contract),on_site,"Concord, ONTARIO, CA, L4K 2R2",2023-06-19T16:04:02.813Z,"
        +
        +

        Key Responsibilities

        +
        1. Produce accurate and timely wages to all employees; provide payroll information to employees, Management and Government Agencies.

        2. Reconcile number of employees and hours input from Time and Attendance System (Enterprise Time) into the Payroll System (ADP WorkForceNow)

        3. Transmit payroll at appointed day and time to Payroll System service in order to receive timely pay cheques/direct deposits by appointed day

        4. Advise Finance Department of total payroll cost for wire transfer of funds to payroll account.

        5. Review Payroll Register received from Payroll System Service.

        6. Prepare weekly analysis/graphs of payroll costs for Management, and reports for Human Resources as requested (e.g. seniority, personnel).

        7. Prepare weekly payroll cost allocation for the Accounting Department.

        8. Update Employee Master File, Time Clock System and HRIS (Workday).

        9. Accumulate data for yearly-deferred profit sharing payment, update RRSP accounts and process vacation pay once per year to all eligible employees.

        10. Complete employee referral letters, Record of Employment, and assist in completion of any documentation as requested. Review all requests from external parties for information regarding any employee of Co-Ex-Tec.

        11. Monitor and pay garnishees.

        12. Analyse on an annual basis, all taxes paid, W.C.B., and Employers’ Health Tax.

        13. Help employees resolve payroll and benefit concerns. Interact with care and respect.

        14. Process additions, deletions and changes in benefit system. Ensure that required payroll adjustments are made in a timely manner. Prepare and submit insurance premium report to accounting in a timely manner.

        15. +
        +
        +
        +

        Key Qualifications/Requirements

        +
        • Secondary School Diploma, or equivalent

        • Post-Secondary Degree/Diploma, preferred; with excellent aptitude for figures

        • Minimum 3 years payroll experience

        • 1-3 years’ experience using ADP WorkForceNow

        • Sound computer skills, including knowledge of software in current use

        • Superior organizational and prioritizing abilities

        • Well-developed communication, organizational, interpersonal and analytical abilities

        • Working knowledge of Payroll System / Time & Attendance System

        • +
        +
        +
        +

        Additional Information

        +

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

        +
        +
        +

        Awareness. Unity. Empowerment.

        +

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

        +
        +
        ",,https://jobs.magna.com/job/Payroll-&-Benefits-Administrator-%2820-Month-Contract%29/571080717/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-03T16:09:04.525Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237622696-payroll-benefits-administrator-20-month-contract-at-magna-international,https://jobs.magna.com/job/Payroll-&-Benefits-Administrator-%2820-Month-Contract%29/571080717/,draft,2023-06-19T16:04:02.813Z,import-xml-feed:Scrapy-Scraper,,,,,,, +0d692a98-3186-400d-8503-16fb0e0c669e,244330574,Bell Canada,"Specialist, Strategy & Analytics",on_site,"Toronto, Ontario",2023-07-07T19:22:02.442Z,"

        Req Id: 412326 

         

        At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we’re revolutionizing how Canadians communicate.

         

        If you’re ready to bring game-changing ideas to life and join a community that values bold ideas, professional growth and employee wellness, we want you on the Bell team. 

         

        +
        +
        +

        +
        +
        +

        Our Planning & Reporting Team supports Small & Medium Sales Channels. The Planning & Reporting Team is accountable channel target, forecast, planning and performance analysis for the wireline & wireless segment. Working with partners in operations, sales, and enablement.

        +

        +

        A core contribution of this role is to improve the accessibility, speed and reliability of our critical datasets across the function and enable us to shift from data aggregation to enhanced value-add support services leveraging the latest technology and automation for our channel partners. This specialist will also champion effective communications, processes, reporting and other key requirements. Maintains information of sales activities that support sales performance metrics and sales process improvement.

        +
        +
        +
        +
        +

        Key Responsibilities:

        +
        +
          +
        • +Use analytical techniques to process large volumes of data from multiple sources +
        • +
        • Produce regular reporting on a weekly, monthly, quarterly basis
        • +
        • +Perform post-mortem analyses with actionable learnings for future projects +
        • +
        • Create efficiencies in current reports
        • +
        • Collaborate with cross functional teams to ensure all key project delivery dates are met
        • +
        • Continuously look to improve and evolve the forecasting model
        • +
        • Deliver quality results combining speed and accuracy in a high performance role
        • +
        +
        +
        +
        +

        What we’re looking for:

        +
        +
        +
          +
        • Strong programming skills with knowledge of BI Tools (ex. MicroStrategy, SAS/SQL, Teradata/RDM)
        • +
        • Skills in MS Office, particularly strong MS Excel and MS PowerPoint
        • +
        • Thorough knowledge of Microsoft Excel including macros, VBA and power query
        • +
        • Minimum 2 year’s experience in Reporting, Data Analysis, or a related field
        • +
        • Highly organized, detail-oriented and the ability to manage multiple projects simultaneously
        • +
        • Ability to work both independently and as part as a team
        • +
        • Comfortable managing multiple priorities on a regular basis while respecting tight deadlines
        • +
        • Telecom experience preferred
        • +
        +

        #LI-PG

        +

        #talent

        +
        +
        +

         

        #EmployeeReferralProgram

         

        Adequate knowledge of French is required for positions in Quebec. 

         

        Additional Information:

        Position Type: Management 
        Job Status: 
        Regular - Full Time 
        Job Location:
        Canada : Ontario : Don Mills || Canada : Ontario : Mississauga || Canada : Ontario : Toronto 
        Work Arrangement: Hybrid 
        Application Deadline: 07/20/2023 

         

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

         

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

         

        At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

         

        Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

         

        Created: Canada, ON, Mississauga

         

        Bell, one of Canada's Top 100 Employers.

        ",,https://jobs.bell.ca/ca/en/job/BECACA412326EXTERNALENCA/Specialist-Strategy-Analytics?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2023-07-11T19:27:02.994Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/244330574-specialist-strategy-analytics-at-bell-canada,BECACA412326EXTERNALENCA,draft,2023-07-07T19:22:02.442Z,import-xml-feed:Bell-Canada,,,,,,, +835f51f5-b132-4696-889f-bfc16d704d59,245220830,Magna International,Automation Robotics Technician (Night Shift) 1 1,on_site,"Concord, ONTARIO, CA, L4K 2R2",2023-07-10T16:04:02.363Z,"
        +
        +

        HEALTH, SAFETY & ENVIRONMENTAL RESPONSIBILITIES

        +

        Ensure all safety and non-safety rules and regulations are followed. Review and adhere to division-specific health and safety, environmental, and quality standards, operating procedures, and policies. Respond and report in a timely manner to items brought to his/her attention with respect to hazards, defects or non-compliance issues. Understand and uphold the policies that prohibit workplace violence and harassment.

        +
        +
        +

        KEY JOB RESPONSIBILITIES

        +

        1. Responsible for modifying existing automation control systems as well as designing, estimating, and commissioning new automation control systems integrated with Robots based on PLC’s
        2. Implement Safety Category 4 for all required installations, presses and robotics work cells
        3. Integrate equipment with robots and various testing and monitoring instruments
        4. Troubleshoot process problems and initiative and/or participate in Continuous Improvement initiatives and quality improvements
        5. Maintain and service automated work cells; mechanical and hydraulic presses
        6. Set up and conduct predictive and preventative maintenance programs for required equipment
        7. Perform all work in good standard, respond to off duty calls, and work rotating shifts if required.
        8. Follow all work cell and/or department standardized work instructions/procedures.
        9. Ensure, with the cooperation of other Co-Ex-Tec departments and Corporate that the division achieves and maintains the highest possible Customer rating for satisfaction; strive for zero defects in all areas of the business.
        10. Ensure compliance and enforcement of Customer Specific Requirements, QMS (IATF16949), Health and Safety (ISO 45001), EMS (ISO14001), and security (PIP) requirements.
        11. Perform housekeeping duties to maintain a clean, safe, and organized work area.
        12. Promote and comply with health, safety, and environmental standards, safe operating procedures, good housekeeping practices and the observance of protective equipment requirements at all times.
        13. Attend authorized training in order to develop and/or maintain relevant job-related knowledge, techniques, skills, and/or certification.
        14. May be required to carry out job duties and responsibilities in a work environment that may include, but is not limited to, varying levels of noise and/or temperature.
        15. Perform any other reasonable duty as required or assigned by Management.

        +
        +
        +

        CORE COMPETENECIES AND SKILLS

        +

        • Proficient knowledge in PLC Programming: Allen Bradley RsLogix 500, 5000, Omron Sysmac Studio, Omron CS-Programmer, Omron NT-series Support Tool, Beckhoff, Visual Studios, Factory Talk View Studio, HMI Software (RsView Studio ME), Office, AutoCAD, Ethernet based communications and networks
        • Ability to understand advanced PLC commands and HMI usage
        • Ability to create and modify electrical drawings, process & instrumentation diagrams and schematics when required
        • Exposure with configuring communication bus architectures using Ethernet and DeviceNet
        • Experience with the design and integration of machine safety circuits, safety PLC’s and applications (ABB Jokab)
        • Relevant experience with motion control architectures preferably around Allen Bradley Kinetix and/or VFD drive systems
        • Experience with Data Tracking using Barcode Scanners or RFID
        • Must be willing to work “hands on” in the manufacturing area
        • Extensive knowledge of the Ontario Electrical Code and Electrical Circuits Confident leading automation programs and integrating robot applications
        • Experience with Fanuc, ABB, and Kuka robots an asset
        • Excellent communication skills both written and oral
        • Excellent analytical and problem solving skills
        • Willing to work overtime as per job requirements

        +
        +
        +

        EDUCATION AND PROFESSIONAL EXPERIENCE

        +

        • Degree/diploma in Electrical Engineering, or Electro-Mechanical Engineering
        • Certified Electrician, an asset
        • Minimum 3 Years of experience in Electrical / Controls Design and Programmable Logic Controllers / Human Machine Interface Programming (PLC / HMI) / Vision Systems / Robot programming and troubleshooting including debugging, testing and commissioning.
        • Strong MS Office skills

        +
        +
        +

        Additional Information

        +

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

        +
        +
        +

        Awareness. Unity. Empowerment.

        +

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

        +
        +
        ",,https://jobs.magna.com/job/Concord-Automation-Robotics-Technician-%28Night-Shift%29-1-1-ONTA-L4K-2R2/571052717/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-08-09T16:04:02.363Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/245220830-automation-robotics-technician-night-shift-1-1-at-magna-international,https://jobs.magna.com/job/Concord-Automation-Robotics-Technician-%28Night-Shift%29-1-1-ONTA-L4K-2R2/571052717/,draft,2023-07-10T16:04:02.363Z,import-xml-feed:Scrapy-Scraper,,,,,,, +242b642f-3427-4e93-9555-7885e5c63ca3,245220771,TD Bank Group,Sr Bus Application Analyst,on_site,"Toronto, ON",2023-07-10T15:53:01.754Z,"
        +

        Company Overview

        +
        +

        Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

        +

        Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

        +
        +

        +

        Department Overview

        +
        +

        FPS provides system and data maintenance support for approximately 30 Enterprise Finance Systems. This support encompasses 3 core processes:

        +

        System Maintenance – maintain operational data & functionality settings
        Incident Management – resolve issues when applications are not working as expected
        Change Management – coordinate changes to system or base settings

        +
        +

        +

        Job Description

        +
        +

        Reporting to the Manager, FPS Reporting Application Support, the Senior Business Applications Analyst joins the team responsible for supporting the day-to-day operations of TD’s various Enterprise Finance and Management Reporting Systems including but not limited to Enterprise Management Reporting System (EMRS), Financial Reporting System (FRS-FMS/FRS-PSGL), Oracle Analytics Cloud (OAC), Hyperion Financial Management (HFM), Certent Disclosure Management (CDM) etc.
        Specifically, this position will be responsible for providing first level system maintenance, incident, change support and will be the Subject Matter Expert (SME) for the applications and processes under their area of responsibility. The successful candidate will play a key role in the development and maintenance of a best-in-class production support model.
        Due to the nature of our user community, flexible support hours are often necessary at fiscal month / quarter and year ends, and periodic on-call support is required.

        +

        This position requires an action-oriented individual with strong knowledge of finance applications and data flows, demonstrated analytical/problem solving capabilities, strong relationship management skills and the ability to deal with change in a fast-paced and deadline-driven environment.

        +

        Key accountabilities for this position include:
        Responsibility for ensuring application availability, data integrity and a positive user experience for supported systems:
        o Proactively manage production environment to ensure stability
        o Maintain/monitor job scheduling, reports, interfaces, queries etc.
        o Identify, investigate, resolve complex support issues, providing updates as per the severity guidelines, and taking an active role in driving resolution for issues, including those outside normal working hours
        o Adhere to audit controls
        o Ensure quality of service meets Service Level Agreements

        +

        Liaise with Business/Technology stakeholders in order to elicit, analyze, define, communicate and validate requirements for changes to finance applications
        Coordinate system/process changes with technology and business partners
        Provide SME knowledge of finance applications to relevant business areas and project teams as needed; understand relevant business processes/needs/opportunities and recommend solutions that enable the business to achieve its goals
        Coordinate Audit requests and responses
        Recommend and implement process improvements to increase productivity
        Contribute to the success of the of the Finance Production Support department through personal efforts to enhance own knowledge and skills; assist others in achieving common goals and objectives, and maintaining a respectful, positive work environment
        Provide support/guidance to junior teammates as required
        Ensure procedure documentation is accurate and complete

        +
        +

        +

        Requirements

        +
        The successful candidate will possess a unique blend of leadership, customer service, technical and financial skills. This position requires:

        +
          +
        • Passion for providing superior customer service and inspiring that passion within the team
        • +
        • Ability to build effective working relationships with teams and individuals at all levels
        • +
        • Strong organizational skills with a proven track record of managing workflow to ensure timelines are met with a high degree of accuracy
        • +
        • Superior written and verbal communication skills, including the ability to communicate complex situations and ideas in a clear, simple and understandable manner
        • +
        • Strong understanding of the Finance function
        • +
        • Strong technical background with hands on experience working with Finance applications, specifically General Ledgers Reporting/Business Intelligence tools
        • +
        • Sound understanding of data flow, data integrity and audit controls
        • +
        • Ability to work effectively in an extremely fast paced and evolving environment
        • +
        • Proficient in identifying risks and implementing mitigation strategies
        • +
        • Proficient in MS-Office applications (Excel, Word, Access)
        • +
        +

        The following skills or knowledge sets would be advantageous:

        +
          +
        • Experience in a Production Support environment, specifically supporting / implementing finance applications
        • +
        • Good understanding of TDBG businesses preferred
        • +
        • VBA/SAS/SQL experience (as required)
        • +
        +
        +

        +

        Hours

        +
        37.5
        +

        +

        Inclusiveness

        +

        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

        +

        +
        ",,https://jobs.td.com/en-CA/jobs/18707058/sr-bus-application-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-08-09T15:53:01.764Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/245220771-sr-bus-application-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18707058/sr-bus-application-analyst-toronto-ca/,draft,2023-07-10T15:53:01.754Z,import-xml-feed:TD-Bank-Group---Job,,,,,,, +b6bb7dd4-db5f-429d-86bb-375c26afce88,245265296,RBC,Real Estate Finance Risk Controls Analyst,on_site,"Toronto, ON, Canada",2023-07-11T01:51:02.852Z,"
        +

        Come Work with Us!

        At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

        Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

        +

        Job Title

        Real Estate Finance Risk Controls Analyst

        +

        +

        Job Description

        +
          +
        • Assists in developing technology-based tools and performs data analysis to monitor, measure, and manage market and derivatives risks.
        • +
        • Assists in developing action plans to resolve issues. Re-designs processes to better manage, measure, and monitor market and derivatives risks.
        • +
        • Implements routine research and evaluation of the investments organization, business activities, and market and derivatives risk; assists in monitoring risk management policies, procedures, limits, and guidelines.
        • +
        • Participates in monitoring market risk to ensure that they are within market and derivatives risk thresholds, limits, and constraints. Explains market and derivatives policies and processes to other departments.
        • +
        +

        +

        +

        Job Summary

        Implements market risk analysis and participates in implementing risk management systems and processes to minimize market risk. Applies experience and seasoned knowledge, skills, and practices to perform a variety of assignments.

        Address:

        Raleigh, North Carolina, United States of America

        City:

        USA-NC-RALEIGH

        Country:

        United States of America

        Work hours/week:

        40

        Employment Type:

        Full time

        Platform:

        Personal and Commercial Banking

        Job Type:

        Regular

        Pay Type:

        Salaried

        Posted Date:

        2023-06-27

        Application Deadline:

        +
        +

        Inclusion and Equal Opportunity Employment

        +

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

        +
        +

        Join our Talent Community

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

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

        +
        ",,https://jobs.rbc.com/ca/en/job/R-0000062923/Real-Estate-Finance-Risk-Controls-Analyst,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-08-10T01:51:02.863Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/245265296-real-estate-finance-risk-controls-analyst-at-rbc,,draft,2023-07-11T01:51:02.852Z,import-xml-feed:RBC-Job-Feed,,,,,,, +db85c555-bb9b-4d76-b077-5074486ac01a,245265294,RBC,Senior Risk Analyst,on_site,"Toronto, ON, Canada",2023-07-11T01:51:02.775Z,"
        +

        Come Work with Us!

        At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

        Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

        +

        Job Title

        Senior Risk Analyst

        +

        +

        Job Description

        +

        What is the opportunity?

        +

        The C&C Senior Risk Analyst will be part of RBC Clearing & Custody, a fast-growing business channel. This role will interact with C&C firms, along with internal personnel, on key financial risk items related to the C&C business. This role will work closely with C&C Risk Manager, as well as with Senior C&C Management.

        +

        +

        What will you do?

        +
          +
        • Review daily risk reports, identify issues of concern, and resolve and/or escalate accordingly
        • +
        • Review financial statements and Focus reports for existing firms and identify trends, variances, etc.
        • +
        • Utilize applicable monitoring tools for the review of proprietary trading by C&C client firms
        • +
        • Monitor C&C Market Access Rule (MAR) and ACT trading limits proactively escalating limit breach concerns to interested parties as appropriate
        • +
        • Work closely with C&C firms, along with internal C&C staff, on understanding new and/or proposed C&C firm activities and associated risks
        • +
        • Document new firm risk profiles, including firm snapshot and anticipated trading activities, which are used to incorporate risk limits for C&C Risk review process
        • +
        • Function as a liaison during new firm conversion process for new C&C firms with respects to risk limits and risk set-up process
        • +
        • Escalate risk concerns and limit increases appropriately, as defined within the delegation of authority matrix
        • +
        • Other project work, analysis assignments and duties as assigned
        • +
        +

        +

        What do you need to succeed?

        +

        Must-have

        +
          +
        • Risk Management experience in a Broker-Dealer or Financial Services firm
        • +
        • Ability to work and communicate with all levels of management, as well as with C&C firms
        • +
        • Ability to work independently and under pressure, all while adhering to deadlines and tight schedules
        • +
        • Ability to influence others and convey difficult messages in a clear and concise manner
        • +
        • Excellent oral and written communication skills
        • +
        +

        +

        Nice-to-have

        +
          +
        • Series 7 and/or other advance licenses
        • +
        • Risk Management / Credit / Operations Background
        • +
        • Ability to adapt to an ever changing, fast paced environment
        • +
        +

        +

        What’s in it for you?

        +

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

        +
          +
        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
        • +
        • Leaders who support your development through coaching and managing opportunities
        • +
        • Ability to make a difference and lasting impact
        • +
        • Work in a dynamic, collaborative, progressive, and high-performing team
        • +
        • Flexible work/life balance options
        • +
        • Opportunities to do challenging work
        • +
        • Opportunities to take on progressively greater accountabilities
        • +
        • Access to a variety of job opportunities across business
        • +
        +

        +

        +

        Job Summary

        •The Risk Analyst is responsible for reviewing, monitoring, and reporting financial risk associated with the Clearing & Custody business channel.
        •This position will work closely with Risk Management personnel to analyze, understand, quantify and minimize financial risk to the business.

        Address:

        Minneapolis, Minnesota, United States of America

        City:

        USA-MN-MINNEAPOLIS

        Country:

        United States of America

        Work hours/week:

        40

        Employment Type:

        Full time

        Platform:

        Wealth Management

        Job Type:

        Regular

        Pay Type:

        Salaried

        Posted Date:

        2023-06-09

        Application Deadline:

        2023-07-31
        +

        Inclusion and Equal Opportunity Employment

        +

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

        +
        +

        Join our Talent Community

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

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

        +
        ",,https://jobs.rbc.com/ca/en/job/R-0000061353/Senior-Risk-Analyst,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-08-10T01:51:02.782Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/245265294-senior-risk-analyst-at-rbc,,draft,2023-07-11T01:51:02.775Z,import-xml-feed:RBC-Job-Feed,,,,,,, +b75748d9-3da9-4951-99a7-fe9c9b4aa988,243216963,Borealis AI,Head of Marketing & Communications,on_site,"Ontario, Canada",2023-07-05T01:58:04.255Z,"
        +

        What’s the opportunity?

        +

        As Borealis AI’s Head of Marketing and Communications, you will lead our efforts to make RBC a recognized leader in AI innovation. You will be responsible for the creation, management, execution, and measurement of Borealis’ brand and marketing strategies and events, and work with our Corporate Communications team on external communications and media relations.

        +

        In this role, you will collaborate with leading AI experts from research, engineering, and product as well as key operational functions to advance Borealis AI’s vision by strengthening our brand and attracting top AI talent. You will be responsible for engaging the AI community and broader industry on Borealis research and products and timely topics in AI. You can find out more about Borealis AI’s research and products at www.borealisai.com.

        +

        Your responsibilities include:

        +
          +
        • Lead and manage a small high-performance marketing organization;
        • +
        • Develop, execute, and manage brand and marketing strategies that effectively support Borealis AI’s organizational goals;
        • +
        • Design and execute marketing campaigns (website, blogs, etc.) that illustrate RBC’s leadership in applied AI and identify new approaches/venues to grow brand awareness;
        • +
        • Manage Borealis AI’s content across platforms including:
          - Scientific thought leadership to accompany launches of Borealis AI products with RBC business partners;
          - Blogs and articles with unique and insightful commentary on emerging trends in AI
        • +
        • Partner closely with RBC Technology Corporate Communications team on media relations and major speaking initiatives to support Borealis AI product and activities releases for Borealis AI products and activities;
        • +
        • Collaborate with our research and engineering team to deliver inspiring content for technical audiences;
        • +
        • Ensuring that Borealis’ role in RBC’s overall approach to AI is well represented in internal enterprise AI communications.
        • +
        +

        You\'re our ideal candidate if you have:

        +
          +
        • A strategic leader who is able to motivate and direct your team while collaborating effectively with other functions at Borealis and across RBC;
        • +
        • 5+ years of senior leadership experience in strategic marketing and communications, preferably in technical research, AI, or technology;
        • +
        • A proven track record of delivering impactful cross-channel brand and marketing strategies that have moved the needle for your organization;
        • +
        • Adept in developing, implementing, and measuring strategic marketing and communication plans and programs;
        • +
        • Excellent communicator who is able to communicate a consistent brand and express complex technical ideas as simple, captivating content that engages technology and business audiences;
        • +
        • Effective at building relationships both inside and outside the organization;
        • +
        • Highly adaptable and flexible with an ability to innovate and pivot when necessary.
        • +
        +

        What’s in it for you?

        +
          +
        • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach their full potential;
        • +
        • Own a function at Borealis AI, with autonomy and room to grow;
        • +
        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
        • +
        • Leaders who support your development through coaching and management opportunities;
        • +
        • Ability to make a difference and lasting impact from a local-to-global scale.
        • +
        +

        About Borealis AI

        +

        Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

        +

        Inclusion and Equal Opportunity Employment

        +

        RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

        +
        ",,https://www.borealisai.com/careers/?gh_jid=6816192002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-08-04T01:58:04.299Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243216963-head-of-marketing-communications-at-borealis-ai,,draft,2023-07-05T01:58:04.255Z,import-xml-feed:Borealis-AI-Job-Feed,,,,,,, +9c02fe6c-dff9-41c1-9277-325f86599c1b,246294144,Magna International,Product Design Engineer,on_site,"Concord, ONTARIO, CA, L4K 2R2",2023-07-13T16:04:02.121Z,"
        +
        +

        Role Summary

        +

        Working closely with the Designer, prepares 3D math data, working layouts, GD&T, component drawings and typical sections of automotive components, assemblies and systems from engineering specifications, instructions and prior layouts. With moderate direction from senior design engineering personnel, assists in the implementation of design components and systems within operational, cost, timing, safety, reliability, quality, and manufacturing feasibility parameters. Provides assistance with technical guidance and product design problem solving.

        +
        +
        +

        Key Responsibilities

        +

        1. Generally assigned to develop complex components and assemblies. Assignments will include programs with existing and new customers, the introduction of new technology, accelerated development cycles and integrated product lines.
        2. Independently (with some input from senior personnel) generate studies and concept sketches for the purpose of understanding, communicating, or overcoming technical issues.
        3. Consults and collaborates with personnel on various Engineering and Design activities related to the product development process.
        4. Generates innovative solutions to problems that resolve issues on projects as well as open potential avenues to new products/patents/cost savings
        5. Develops CAD designs (3D & 2D) based on internal and customer input/requirements and following internal guidelines/best practices. Complexity of the design may extend up to vehicle system level. Designs should demonstrate advanced understanding of material, industry, OEM, product specific, supplier process, manufacturing, and other best practices. Applies these skills to create viable solutions for product designs and generate/evaluate concepts for technical merit.
        6. Can execute complex calculations and kinematic studies using product standards and individual knowledge.
        7. Works with Analysts to provide data necessary for CAE studies, and optimize designs based on results.
        8. Advanced understanding of dimensioning and tolerancing (GD+T). Able to independently devise dimensioning schemes that suit fit and function of parts while accounting for mating condition of other components in an assembly. Application of tolerance stack ups. Consideration for manufacturing and quality assurance capabilities should be evident in the dimensioning strategy and design.
        9. Able to act as a liaison to customer /supplier, if placed in an off-site assignment.
        10. Provides technical guidance and mentoring as needed to other Design Engineers/Designers regarding CAD/Drafting best practices and design principles.
        11. Exercise advanced knowledge and skill when executing internal CAD change management, and when adapting to customer change management systems, to ensure accuracy and proper protocol when submitting math data
        12. Ensures accurate execution of assignments related to Engineering Change Notices while maintaining proper revision levels and change sequencing.
        13. Possesses advanced ability to perform data transfers and translations, as needed.
        14. Identify and report any problems relating to the product, process, and quality system.
        15. Ensure compliance and enforcement of Customer Specific Requirements, QMS (IATF16949), Health and Safety
        (ISO 45001), EMS (ISO14001), and security (PIP) requirements.
        16. Ensure, with the cooperation of other Division departments and Corporate that the division achieves and maintains the highest possible Customer rating for satisfaction; strive for zero defects in all areas of the business.
        17. Ensure enforcement of Customer Specific Requirements and Quality Management System (IATF16949) without compromising either Division or its Customers.
        18. Initiate and/or participate in continuous improvement activities.
        19. Any other reasonable duties as requested by Management

        +
        +
        +

        Key Qualifications/Requirements

        +

        • Post-Secondary Degree in Engineering or related field preferred or strong technical background.
        • Product design training (3 – 5 years of diversified design experience) or equivalent work experience.
        • 2 – 3 years minimum experience in the automotive industry.
        • Strong working knowledge in NX/Unigraphics V9, and CATIA V5 an asset
        • Team Center 10 experience is considered a strength as well as Level 2 at GM
        • Able to work alone with minimal supervision.
        • Well-developed communication, organizational, interpersonal and analytical abilities
        • Sound computer skills, including knowledge of software in current use
        • Understanding of lean manufacturing, an asset

        +
        +
        +

        Additional Information

        +

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

        +
        +
        +

        Awareness. Unity. Empowerment.

        +

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

        +
        +
        ",,https://jobs.magna.com/job/Concord-Product-Design-Engineer-ONTA-L4K-2R2/570758217/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-08-12T16:04:02.121Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/246294144-product-design-engineer-at-magna-international,https://jobs.magna.com/job/Concord-Product-Design-Engineer-ONTA-L4K-2R2/570758217/,draft,2023-07-13T16:04:02.121Z,import-xml-feed:Scrapy-Scraper,,,,,,, +af086a90-b44f-4497-a049-b6443d9fb364,247732675,Magna International,Industrial Millwright,on_site,"Concord, ONTARIO, CA, L4K 2R2",2023-07-17T16:04:02.489Z,"
        +
        +

        Role Summary

        +

        To increase uptime, throughput, efficiency and quality, through the process of maintaining, designing, developing and continuously improving our equipments and the utilization of technology to ensure the best quality products are produced.

        +
        +
        +

        Key Responsibilities

        +

        • Evaluate and improve our processes for uptime and repeatability
        • Evaluate downtime situations for root cause and suggest/implement improvements
        • Evaluate potential risks to similar processes and develop work orders and plans to resolve issues
        • Preventative maintenance on Equipment – identifies weakness in design and implements improvements
        • Take pride in workmanship and when performing skilled work develop procedures to educate and train other team members performing the same work. Note – Monitor progress of repair to ensure problem is resolved
        • Monitor and participate in ensuring all Key Performance Indicators (Safety, Quality and Productivity) are being achieved and if not assist with action plans to ensure success
        • Ensure all key information is captured and exchanged at shift change to support the other shifts
        • Maintain safety standards of equipment and work area and perform all duties in a safe manner in accordance with the safety policies of P&F Tool & Die
        • Co-ordinate activities of apprentices, helpers and assigned contractors
        • Assist in developing and/or updating preventive maintenance procedures
        • Read, update, and accurately modify mechanical blueprints
        • Operation of process cooling water, compressed air supply and air dryers
        • General knowledge of heating and cooling systems
        • Perform all duties and promote themselves in a manner that reflects the P&F expectations, P&F’s vision/values through Magna’s Employee Charter.
        • Follow and abide by all government, Legal, Magna and P&F rules and regulations
        • Contribute to continuous improvement and cost reduction activities
        • Perform other duties as requested

        +
        +
        +

        Key Qualifications/Requirements

        +

        • C of Q (Industrial Mechanic / Millwright)
        • Minimum 5 years work experience in a Press Shop (Stamping) environment
        • Strong knowledge and understanding of stamping processes
        • Strong knowledge and understanding of mechanical presses; from 500 to 1300 ton (blanking, progressive and transfer presses – Brown Boggs, Blow Press, CCI, Benilli and Aida)
        • Experience in the dis-assembly / assembly of clutch and brakes, counter balance cylinders and gear boxes
        • Knowledge and experience of press controls. Good understanding of crank angles, ram (slide) motions, gibs clearances, ram adjustment and hydraulic overloads
        • Knowledge of press safety and guarding
        • Strong knowledge and experience of press lubrication system. Good knowledge of hydraulic gear pumps and pneumatic booster pump (Haskel)
        • Knowledge and understanding of coil feeder systems (feeder, straightener and uncoiler – International Controls)
        • Strong understanding of pneumatic and hydraulic systems (valves, cylinders, FRL, pressure switches, etc)
        • Good Millwrighting experience – machining (lathe, milling, surface grinder, drilling), welding (stick, MIG), rigging and lifting devices (crane and forklift operation)
        • Good experience in analytical way of solving problems and good understanding of root cause analysis process
        • Must be available to work rotating shift within the department
        • Able to be flexible in hours of work in order to meet internal/external customer requirements. (scheduled and non-scheduled overtime shifts, etc)
        • Must demonstrate the ability to work in a team environment.
        • Physically able to perform the essential duties of the position.
        • WHMIS
        • Lockout / Tagout
        • Forklift License
        • Falls Arrest
        • Crane operation

        +
        +
        +

        Additional Information

        +

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

        +
        +
        +

        Awareness. Unity. Empowerment.

        +

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

        +
        +
        ",,https://jobs.magna.com/job/Concord-Industrial-Millwright-ONTA-L4K-2R2/568945217/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-08-16T16:04:02.490Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/247732675-industrial-millwright-at-magna-international,https://jobs.magna.com/job/Concord-Industrial-Millwright-ONTA-L4K-2R2/568945217/,draft,2023-07-17T16:04:02.489Z,import-xml-feed:Scrapy-Scraper,,,,,,, +c89d6b3f-1987-45a3-a922-5757f1ce965d,245220766,Scotiabank,Global Banking and Markets - Corporate Banking Intern/Co-op - Winter 2024,on_site,Canada : Ontario : Toronto,2023-07-10T15:52:04.438Z,"

        +

        +

        +

        +

        Requisition ID: 181340

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

        +

        +

        Term: January - August 2024

        +

        Application Deadline: 07/27/2023 

        +

        +

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

        +

        +

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

        +

        +

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

        +

        +
        • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

        • Process borrower compliance in accordance with policies and established procedures.

        • +
        +
        • Review credit/lending agreements to identify financial reporting, covenant and pricing requirements.

        • Perform analytics functions by assessing trends, material changes and identify high risk triggers.

        • Review Borrower pricing details and capture changes in margins.

        • Cross check Borrower information to ensure it is up-to-date and aligned with internal documents and platforms.

        • Review external customer reports; research company information using external rating agencies such as Janus, FactSet, S&P, Moody’s and Bloomberg.

        • +
        +
        • Investigate and resolve any discrepancies related to compliance tasks.

        • Act as backup to produce daily compliance reporting.

        • Other ad hoc duties as required.

        • +
        +

        +

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

        +

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

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

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

        • You embody Scotiabank Code of Conduct and contributes to an inclusive and performance-oriented culture.

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

        • You champion a high-performance environment and contributes to an inclusive work environment.

        • +
        +
        • You have exceptional attention to detail

        • Knowledge of Corporate Banking, loan products or loan operations an asset

        • Knowledge of internal systems (Credit360, CARDs, CRS, Salesforce) an asset

        • Knowledge of Capital Call facilities and requirements as asset 

        • +
        +

        +

        What’s in it for you? 

        +

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

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

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

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

        • +
        +

        +

        How do I apply?

        +

        +

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

        +

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

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

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

        2. +
        +

        +

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

        +

        +

        Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/Toronto-Global-Banking-and-Markets-Corporate-Banking-InternCo-op-Winter-2024-ON/572154817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-09T15:52:04.445Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/245220766-global-banking-and-markets-corporate-banking-intern-co-op-winter-2024-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Global-Banking-and-Markets-Corporate-Banking-InternCo-op-Winter-2024-ON/572154817/,draft,2023-07-10T15:52:04.438Z,import-xml-feed:Scotiabank,,,,,,, +846cd646-4338-433d-9f88-0cace0c08b48,247779855,BMO Financial Group,"Manager, Credit Risk Modelling & Analytics",on_site,"Ontario, Canada",2023-07-18T01:42:03.033Z,"
        +

        Address:

        100 King Street West

        +

        +

        Job Family Group:

        Data Analytics & Reporting

        +

        +

        +

        +

        Supports the research and development of quantitative risk modeling methodologies and related strategies in support of the management of risks arising from business/group portfolios and products. Applies knowledge of analytics algorithms and technologies to develop forward looking models and analytic solutions that ensure risks are properly identified, understood and risk related strategies are enabled. Summarizes statistical findings, draws business conclusions, and presents actionable business recommendations used in the management of risks and related activities e.g. associated internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations. Drives innovation through the development of data products that can be leveraged across the organization and establishes best practices as well influences data governance guidelines and policies. May specialize in one or more risk categories e.g. Credit Risk, Market Risk, Interest Rate Risk, etc.

        +
          +
        • Acts as a trusted advisor to assigned business/group.
        • +
        • Influences and negotiates to achieve business objectives.
        • +
        • Recommends and implements solutions based on analysis of issues and implications for the business.
        • +
        • Assists in the development of strategic plans.
        • +
        • Identifies emerging issues and trends to inform decision-making.
        • +
        • Supports the execution of strategic initiatives in collaboration with internal and external stakeholders.
        • +
        • Helps determine business priorities and best sequence for execution of business/group strategy.
        • +
        • Conducts independent analysis and assessment to resolve strategic issues.
        • +
        • Automates validation tests to improve quality and efficiency of the validation process.
        • +
        • Identifies emerging issues and trends to inform decision-making.
        • +
        • Builds effective relationships with internal/external stakeholders.
        • +
        • Ensures alignment between stakeholders.
        • +
        • Cleanses, manipulates, and transforms data through programming/scripting for model training and validation.
        • +
        • Conducts various pre-implementation and post-implementation analyses to estimate/measure business impact caused by model adoption (e.g., revenue increase, cost reduction, corporate brand image).
        • +
        • Provides input into the planning and implementation of operational programs.
        • +
        • Executes work to deliver timely, accurate, and efficient service.
        • +
        • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
        • +
        • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
        • +
        • Works with stakeholders to identify the business requirements, understand the distinct problems, and the expected outcome and models and frames business scenarios which impact critical business processes and/or decisions.
        • +
        • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
        • +
        • Applies scripting/programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
        • +
        • Develops agreed analytical solution by applying suitable statistical techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, artificial intelligence) to test, verify, refine hypotheses.
        • +
        • Summarizes statistical findings and draws conclusions and presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
        • +
        • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
        • +
        • Performs experimental design approaches to validate finding or test hypotheses.
        • +
        • Uses the appropriate algorithms to discover patterns.
        • +
        • Builds effective relationships with internal/external stakeholders. Ensures alignment between stakeholders.
        • +
        • Supports development of tools and delivers training for data and analytics.
        • +
        • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
        • +
        • Leads/participates in the design, implementation and management of core business/group processes.
        • +
        • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
        • +
        • Provides specialized consulting, analytical and technical support.
        • +
        • Exercises judgment to identify, diagnose, and solve problems within given rules.
        • +
        • Works independently and regularly handles non-routine situations.
        • +
        • Broader work or accountabilities may be assigned as needed.

          Qualifications:

          +
        • +
        • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
        • +
        • Data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS.
        • +
        • Relevant experience in risk, capital, and/or treasury management is preferred.
        • +
        • A professional designation in Finance or Risk management is preferred.
        • +
        • Post-secondary degree in Finance/Economics/Math required.
        • +
        • Professional designation in Finance or Risk management required.
        • +
        • Deep knowledge and technical proficiency gained through extensive education and business experience.
        • +
        • Verbal & written communication skills - In-depth.
        • +
        • Collaboration & team skills - In-depth.
        • +
        • Analytical and problem solving skills - In-depth.
        • +
        • Influence skills - In-depth.
        • +
        • Data driven decision making - In-depth.
        • +
        +

        +

        +

        We’re here to help

        +

        +

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

        +

        +

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

        +

        +

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

        +

        +

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

        +

        +

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

        +
        ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Modelling---Analytics_R220031603?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-08-17T01:42:03.063Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/247779855-manager-credit-risk-modelling-analytics-at-bmo-financial-group,,draft,2023-07-18T01:42:03.033Z,import-xml-feed:BMO-Job-Feed,,,,,,, +80fcb7d9-e5b6-4968-866d-96296c36c8dc,236957195,BMO Financial Group,"Senior Manager, Credit Portfolio Management",on_site,"Ontario, Canada",2023-06-17T01:42:02.795Z,"
        +

        Application Deadline:

        09/29/2023

        +

        +

        Address:

        100 King Street West

        +

        +

        Job Family Group:

        Data Analytics & Reporting

        +

        +

        +

        +

        This role undertakes credit portfolio management, applying a strategic risk perspective to investigating, identifying and assessing areas of credit risk/exposure. Candidate will work with risk reporting and portfolio management reports and other tools and methodologies to measure, monitor and assess risk and risk capital utilization and recommend actions to address single name and portfolio level risk concentration, profitability assessment, risk capital allocation and portfolio risk/return, specifically focused on US portfolio management and US legal entities.

        +

        .

        +

        Portfolio Management, Credit Risk Analysis:

        +
          +
        • Undertake analysis of exposures and segments to identify, quantify and assess risk within the credit portfolios across the Enterprise to ensure the level of credit and counterparty risk the Bank is exposed to is appropriate, within the Bank’s risk limits, and is not displaying material adverse trends
        • +
        • Utilize reports and queries to analyze data, conduct scenario analysis, assess new product and credit strategies, assess and quantify risk and risk concentrations, portfolio loss and profitability trends
        • +
        • Leverage credit risk management and analysis experience to provide thought leadership to team members to drive insights on the enterprise credit risk portfolio and develop recommendations for risk management strategies to optimize the risk return profile of credit risk portfolios
        • +
        • Effectively synthesize results to ensure CRO, Senior Risk executives and other risk colleagues understand outcomes of analysis
        • +
        • Partner closely with the Risk Reporting group to leverage data sources for analysis and ensure appropriate cuts of data are created as needed
        • +
        • Work with other members of ERPM to manage and monitor risk and ensure risk is accurately measured and assigned appropriate risk capital.
        • +
        • Monitor the external environment/economic trends to identify potential risks and impact to Enterprise credit portfolios.
        • +
        • Represent ERPM and provide credit risk oversight and perspective in committees and projects
        • +
        +

        +

        Qualifications/Knowledge/Skills:

        +
          +
        • Graduate degree in business, finance, economics degree
        • +
        • At least 5 years of relevant credit risk management experience with a major financial institution.
        • +
        • CFA and/or FRM desired.
        • +
        • Working knowledge of financial modeling and portfolio management strategies – risk based pricing, aggregation, securitization, hedging, optimization
        • +
        • Expert analytical capabilities, with working knowledge of credit risk models
        • +
        • Highly developed personal effectiveness skills, which include the ability to influence and negotiate, adapt to varying conditions, apply creativity and seize personal development opportunities
        • +
        • Strong written and verbal communication skills
        • +
        • Strong credit skills, experienced in lending and credit qualified
        • +
        +

        +

        +

        We’re here to help

        +

        +

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

        +

        +

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

        +

        +

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

        +

        +

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

        +

        +

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

        +
        ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Manager--Credit-Portfolio-Management_R230010002?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-07-17T01:42:02.803Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/236957195-senior-manager-credit-portfolio-management-at-bmo-financial-group,,draft,2023-06-17T01:42:02.795Z,import-xml-feed:BMO-Job-Feed,,,,,,, +8185d6b6-0a00-4526-adfd-362af94e4bfc,236957194,BMO Financial Group,"Report Analyst, VBA and Data Visualization software- HYBRID",on_site,"Ontario, Canada",2023-06-17T01:42:02.749Z,"
        +

        Application Deadline:

        06/29/2023

        +

        +

        Address:

        250 Yonge Street

        +

        +

        Job Family Group:

        Data Analytics & Reporting

        +

        +

        This is a critical role n supporting our business partners with reporting, analytical and production activity support. This role supports our primary partners within TORIC (Technology and Operations Risk and Internal Controls) division as well as Technology and Operations (T&O) and BMO Nesbitt Burns branch network. It also provides critical support with Power BI reporting, Authority Process Support, GEMS BAU as well as the opportunity to lead on training reporting and other initiatives. You will be supporting the development of BMO\'s CO-OP students and BMO Interns and provides the candidate the opportunity to gain leadership skills, strong organizational skills and building of partner relationships.

        +

        +

        Key Priorities/duties:

        +
          +
        • Governance, Risk and Compliance Dashboard support using Power BI

        • +
        • Support of various Authorization Lists for T&O & BMO Nesbitt Burns branch network using Power Apps, PDF Forms and SharePoint or other like programs

        • +
        +

        +

        This is a HYBRID role based in the Greater Toronto area.

        +

        +

        +

        Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

        +
          +
        • Builds effective relationships with internal/external stakeholders.
        • +
        • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
        • +
        • Designs, develops, and implements innovative analytical solutions.
        • +
        • Designs and produces regular and ad-hoc reports, and dashboards.
        • +
        • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
        • +
        • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
        • +
        • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
        • +
        • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
        • +
        • Designs, develops, and implements innovative analytical solutions.
        • +
        • Designs and produces regular and ad-hoc reports, and dashboards.
        • +
        • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
        • +
        • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
        • +
        • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
        • +
        • Analyzes data and information to provide subject-matter insights and recommendations.
        • +
        • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
        • +
        • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
        • +
        • Builds effective relationships with internal/external stakeholders.
        • +
        • Collaborates with internal and external stakeholders in order to deliver on business objectives.
        • +
        • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
        • +
        • Exercises judgment to identify, diagnose, and solve problems within given rules.
        • +
        • Works independently on a range of complex tasks, which may include unique situations.
        • +
        • Broader work or accountabilities may be assigned as needed.
        • +
        +

        +

        SKILLS and Qualifications:

        +
          +
        • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
        • +
        • MUST HAVE VBA (At least 3 years desired)
        • +
        • MUST HAVE experience with Power BI, Spotfire, or Tableau ( At least 1-2 years desired)
        • +
        • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Very good.
        • +
        • Technical proficiency gained through education and/or business experience.
        • +
        • Verbal & written communication skills - In-depth.
        • +
        • Collaboration & team skills - In-depth.
        • +
        • Analytical and problem solving skills - In-depth.
        • +
        • Influence skills - In-depth.
        • +
        • Data driven decision making - In-depth.
        • +
        +

        +

        +

        We’re here to help

        +

        +

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

        +

        +

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

        +

        +

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

        +

        +

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

        +

        +

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

        +
        ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Report-Analyst--VBA-and-Data-Visualization-software--HYBRID_R230006641?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-07-05T01:47:02.617Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/236957194-report-analyst-vba-and-data-visualization-software-hybrid-at-bmo-financial-group,,draft,2023-06-17T01:42:02.749Z,import-xml-feed:BMO-Job-Feed,,,,,,, +ebe2ac0b-a18e-4338-abe1-d8a5b774340c,236957757,Borealis AI,Machine Learning Researcher,on_site,"Ontario, Canada",2023-06-17T01:58:02.275Z,"
        +
        +

        What\'s the opportunity?

        +

        As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

        +

        Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

        +
        +
        +

        Your responsibilities include:

        +
          +
        • Developing novel AI solutions that facilitate impactful products;
        • +
        • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
        • +
        • Working with the development team to transfer research work into production;
        • +
        • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
        • +
        • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
        • +
        +
        +
        +

        You’re our ideal candidate if you have:

        +
          +
        • A passion for solving open problems using data and algorithms;
        • +
        • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
        • +
        • Ability to formulate and drive a research project independently without close supervision;
        • +
        • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
        • +
        +
        +
        +

        What’s in it for you?

        +
        +
          +
        • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
        • +
        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
        • +
        • Leaders who support your development through coaching and managing opportunities;
        • +
        • Ability to make a difference and lasting impact from a local-to-global scale.
        • +
        +

        About Borealis AI

        +
        +
        +

        Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

        +

        Inclusion and Equal Opportunity Employment

        +

        RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

        +
        ",,https://www.borealisai.com/careers/?gh_jid=6645277002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-07-05T02:03:04.362Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/236957757-machine-learning-researcher-at-borealis-ai,,draft,2023-06-17T01:58:02.275Z,import-xml-feed:Borealis-AI-Job-Feed,,,,,,, +3abee692-ff12-4bbc-88a5-d5462eba2dae,236957758,Borealis AI,Research Director,on_site,"Ontario, Canada",2023-06-17T01:58:02.323Z,"
        +

        What’s the opportunity?

        +

        Borealis AI is looking for a Research Director. The role includes directing a team of machine learning researchers and managing other research team leads with the goal of delivering AI-based products for the financial services industry. In addition, you will provide leadership and deliver on initiatives that improve the effectiveness of the entire research organization.

        +

        Your responsibilities include:

        +
          +
        • To join the Borealis AI research leadership team and shape the research organization as a whole and contribute to its overall performance.
        • +
        • To work with the Borealis AI business development team to identify viable artificial intelligence products that will add significant value to RBC stakeholders.
        • +
        • To lead a team of machine learning researchers delivering cutting edge AI technology to support these products.
        • +
        • To partner with Borealis AI’s product and engineering teams to ensure the seamless delivery of these products.
        • +
        • To manage other research team leads and provide guidance and support.
        • +
        • To help recruit, mentor and retain a high-performing research team across Borealis AI.
        • +
        +

        You’re our ideal candidate if you have:

        +
          +
        • A Ph.D. degree in Computer Science or a related technical field;
        • +
        • 10 years of experience leading research teams in machine learning in a product-centric environment or equivalent experience;
        • +
        • A track record of successful people management including mentoring junior researchers and engineers, experienced high-performance researchers, and research managers;
        • +
        • Experience delivering successful high-impact machine learning products
        • +
        • Involvement across the research and development lifecycle, from prototyping to production, engaging with stakeholders to develop solutions that meet business needs;
        • +
        • Broad research interests and detailed knowledge of cutting edge machine learning techniques across multiple areas;
        • +
        • The ability to formulate and drive multiple research projects independently;
        • +
        • Exceptional communication and leadership skills;
        • +
        • A history of high quality academic publications (e.g., NeurIPS, CVPR, AISTATS, ICLR, ICML etc.) and community recognition for excellence;
        • +
        +

        What\'s in it for you?

        +
          +
        • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
        • +
        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
        • +
        • Ability to make a difference and lasting impact from a local-to-global scale
        • +
        +

        About Borealis AI

        +

        Borealis AI, a RBC Institute for Research, is a research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

        +

        Inclusion and Equal Opportunity Employment

        +

        RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

        +

        +
        ",,https://www.borealisai.com/careers/?gh_jid=6466710002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-07-05T02:03:04.362Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/236957758-research-director-at-borealis-ai,,draft,2023-06-17T01:58:02.323Z,import-xml-feed:Borealis-AI-Job-Feed,,,,,,, +ac138201-495e-4c83-b046-b1d07dda5edf,236957478,RBC,Real Property Tax Officer,on_site,"Toronto, ON, Canada",2023-06-17T01:51:01.994Z,"
        +

        Come Work with Us!

        At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

        Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

        +

        Job Title

        Real Property Tax Officer

        +

        +

        Job Description

        +

        THIS ROLE IS ON CONTRACT FOR 6 MONTHS

        +

        +

        What is the opportunity?

        +

        To provide administrative support with Real Property Tax.

        +

        +

        What will you do?

        +
          +
        • Respond to queries by accessing RIBS as well as hard copy files
        • +
        • Scan and email conveyances and research whether mortgages are paid off and satisfied
        • +
        • Update assessment numbers and comments in RIBS for client mortgages debited
        • +
        • File hard copies of tax certificates upon which debits to mortgages are based as well as receipts
        • +
        • Research tax certificates, proof of payment or dispute, conveyances and RIBS to confirm client mortgage can be debited
        • +
        • Research and provide relevant tax certificates, receipts, amounts debited and other documentation to enable a response to queries
        • +
        • Recalculate mortgage maturity dates based on Excel lists provided by the Project Manager using job aid and based on training
        • +
        • Create and email client letters advising of debits to mortgages using MSWord mail merge functionality defined in job aid and based on training
        • +
        • Data entry of new sets of RBC and FINCO tax certificates as they are received from the DIR
        • +
        • Monitor the generic mailbox
        • +
        • Upload all relevant documentation to SharePoint
        • +
        • Attend and participate in training on SharePoint, Excel, MSWord and project processes
        • +
        • Update Excel master sheets with the results of research in RIBS, where additional information is required
        • +
        +

        +

        What do you need to succeed?

        +

        Must-have

        +
          +
        • Minimum of 5 BGCSE passes (Grades 1 or 2) inclusive of Mathematics and English
        • +
        • Proven customer service skills, preferably in the financial or service industry
        • +
        • Drive and self-motivation, as well as excellent communication skills
        • +
        • Eagerness to learn and determination to succeed
        • +
        +

        +

        What’s in it for you?

        +

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

        +
          +
        • Leaders who support your development through training and coaching, and invest in your continued learning and commitment to building long term careers
        • +
        • Ability to make a difference and lasting impact
        • +
        • Work with a dynamic, collaborative, progressive, and high-performing team
        • +
        +

        +

        +

        Job Summary

        +

        Address:

        East Hill Street:Nassau

        City:

        BHS-NEW_PROVIDENCE-NASSAU

        Country:

        Bahamas

        Work hours/week:

        35

        Employment Type:

        Full time

        Platform:

        Personal and Commercial Banking

        Job Type:

        Contract (Fixed Term)

        Pay Type:

        Salaried

        Posted Date:

        2023-06-07

        Application Deadline:

        2023-06-15
        +

        Inclusion and Equal Opportunity Employment

        +

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

        +
        +

        Join our Talent Community

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

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

        +
        ",,https://jobs.rbc.com/ca/en/job/R-0000061452/Real-Property-Tax-Officer,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-07-05T01:56:04.198Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/236957478-real-property-tax-officer-at-rbc,,draft,2023-06-17T01:51:01.994Z,import-xml-feed:RBC-Job-Feed,,,,,,, +91d40ea6-73e1-4f31-b924-2cedbc2cf0a2,236957476,RBC,"VP/Sr. Manager, Deposit Product Pricing & Analytics",on_site,"Toronto, ON, Canada",2023-06-17T01:51:01.432Z,"
        +

        Come Work with Us!

        At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

        Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

        +

        Job Title

        VP/Sr. Manager, Deposit Product Pricing & Analytics

        +

        +

        Job Description

        +

        What is the opportunity?

        +

        The role will

        +
          +
        • Contribute to the development of a competitive and sustainable pricing approach for USCM’s term deposits, demand deposits and current account in the mid-market corporate space
        • +
        • Support the execution of be-spoke and real-time pricing for large amount of corporate deposits in close partnership with relationship managers, sales and money market desk
        • +
        • Provide input to the overall pricing strategy focused on revenues across clients, deposits and other products at the total portfolio level
        • +
        • Recommend pricing strategies that help shape client, product and tenor mix to achieve a stable operational deposit base over time
        • +
        +

        +

        US Cash Management USCM) Business is a unique opportunity to build the cash management business of the future from the ground up. This is an exciting time to join a start-up function within RBC, built from scratch and anchored in a technical/digital play vs. a traditional play, enabling RBC to compete with new entrants in this space!

        +

        +

        What will you do?

        +
          +
        • Contribute to the development of a competitive and sustainable pricing approach for USCM’s term deposits, demand deposits and current account in the mid-market corporate space
        • +
        • Support the execution of be-spoke and real-time pricing for large amount of corporate deposits in close partnership with relationship managers, sales and money market desk
        • +
        • Provide input to the overall pricing strategy focused on revenues across clients, deposits and other products at the total portfolio level
        • +
        • Recommend pricing strategies that help shape client, product and tenor mix to achieve a stable operational deposit base over time
        • +
        +

        +

        People Leadership & Collaboration

        +
          +
        • Works with team members to establish goals, drive performance management, support career development and reward strong performance.
        • +
        • Ability to forge strong relationships and routines with cross functional partners to drive strong business outcomes
        • +
        +

        +

        What you need to succeed?

        +
          +
        • At least 5 years of experience in the financial industry, with preference in Treasury, Cash Management or Transaction Banking.

        • +
        • Excellent knowledge of deposits liquidity value, rate beta quantification and funds transfer pricing of deposits
        • +
        • Fluent with deposits product offerings and competitive pricing in the target market
        • +
        • Good grasp of asset liability management and balance sheet hedging (Treasury / fixed income portfolio management experience is preferred)
        • +
        • Solid understanding of derivatives and tractor/bond ladder in relate to deposits hedging
        • +
        • High degree of business and financial acumen
        • +
        • Able to perform data-driven analytics including the synthesis of complex data into meaningful insights
        • +
        • Able to work with x-functional teams and functional partners to design an efficient process architecture that adheres to all RBC policies and controls.
        • +
        • Strong communication skills with ability to communicate complex messages, trade-offs and tell a compelling story
        • +
        • Have rigorous attention to detail with the ability to grasp big picture
        • +
        • Comfortable working with quick turnaround times and deadlines +
        • +
        • Experience leading or shaping large transformational efforts preferred +
        • +
        • Professional designation (CFA/FRM/MBA) and/or Master in quantitative fields is highly desirable
        • +
        +

        +

        What’s in it for you?

        +
        +

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

        +
          +
        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation

        • +
        • Leaders who support your development through coaching and managing opportunities

        • +
        • Work in a dynamic, collaborative, progressive, and high-performing team

        • +
        • Opportunities to do challenging work

        • +
        • Flexible work/life balance options

        • +
        +

        +

        USACASHMGMT

        +
        +

        +

        +

        Job Summary

        +

        Address:

        TORONTO, Ontario, Canada

        City:

        CAN-ON-TORONTO

        Country:

        Canada

        Work hours/week:

        37.5

        Employment Type:

        Full time

        Platform:

        Capital Markets

        Job Type:

        Regular

        Pay Type:

        Salaried

        Posted Date:

        2023-05-24

        Application Deadline:

        2023-05-30
        +

        Inclusion and Equal Opportunity Employment

        +

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

        +
        +

        Join our Talent Community

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

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

        +
        ",,https://jobs.rbc.com/ca/en/job/R-0000060445/VP-Sr-Manager-Deposit-Product-Pricing-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-07-05T01:56:04.198Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/236957476-vp-sr-manager-deposit-product-pricing-analytics-at-rbc,,draft,2023-06-17T01:51:01.432Z,import-xml-feed:RBC-Job-Feed,,,,,,, +d8b2151b-990b-4d69-b963-e96357b5e47f,237205979,Scotiabank,"Senior Analyst, Financial Planning and Analysis",on_site,Canada : Ontario : Toronto,2023-06-17T15:52:05.208Z,"

        +

        +

        +

        +

        Requisition ID: 177722

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

        +

        +

        Hiring Details:

        +
        • Department: Canadian Banking Finance
        • Business Line: Retail Payments and Unsecured Lending Finance, Retail Banking Finance
        • +
        +

        +

        Job Purpose:

        +

        Reporting to the Senior Manager of Finance, the successful candidate is extremely curious, and action oriented with a supernatural ability to drive results in a highly collaborative manner. The successful candidate will be accountable for many of the team’s financial and management reporting deliverables and work closely with teammates and business partners to provide transparent communication of financial insights and analysis. In fostering strong relationships with business partners, the Sr. Analyst will focus on fully understanding business drivers and the underlying financial results, while relentlessly pursuing value generating insights.

        +

        +

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

        +
        • +Strong Business Partner, support the delivery of several of the teams financial and management reports to key stakeholders including month-end and quarter-end reporting packs, Monthly P&L and Key Drivers
          • Review financial data and analyze to ensure accuracy and completeness of deliverables and understand the impacts of relevant performance metrics to the business
          • Leverage Financial and Analytics (MIS) data to provide financial insights through Financial Reporting & Analysis
          • Support team with the analysis of Credit Card portfolio/Balance Sheet, Net Interest Income and Margin, Non -Interest Revenue, PCL, Expenses and key performance metrics
          • Prepare and present monthly financial dashboards for Business Unit Reviews and Management Reporting packages for Credit Cards and Finance Senior Leadership
          • Ad-hoc analysis providing value-add insights to business line partners, finance and other key stakeholders
          • Proactively identify opportunities for reporting improvements and implement
        • Process Improvement – Leverage digital solutions to seek ways to enhance reporting processes which can include, streamlining of operational processes, enhancement to analytical capabilities and reduction in operational risk
        • Expert user of financial reporting, planning and forecasting systems and tools, including EGL/OBI/Smartview and Hyperion
        • Internal Process Control – Maintain an effective system of internal controls over reporting processes to ensure data accuracy and integrity is at its highest level
        • Documentation – Create detailed job-aids, training materials, desktop procedures and documentation of the current reporting processes
        • Strategic Project Analysis including revenue opportunities, strategic transactions, new product/program offerings, amongst many other initiatives
        • +
        +

        +

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

        +
        • A solid understanding of financial and management reporting principles
        • Strong problem solving, quantitative and analytical skills; attention to details; ability to analyze business results and identify issues and trends
        • Ability to work effectively and achieve results in a matrix organization
        • Ability to work as part of a team and independently
        • Strong interpersonal, communication, and organizational skills a must
        • Strong data management and modelling skills; ability to build financial models and dashboards
        • Excellent communication skills and ability to communicate findings/analysis and present ideas in a clear and concise manner
        • Ability to multi-task, work independently and deliver high-quality results under very tight deadlines; continuously assess priorities and business requirements, and balance between regular deliverables and priority Executive requests
        • Demonstrated leadership skills and stewardship capabilities in a complex and changing environment
        • Understanding of banking financial statements, profitability drivers within Canadian Banking, including knowledge of Retail lending products
        • An understanding of portfolio management and drivers of Net Interest Income (NII) and Margin (NIM), Non-Interest Revenue (NIR), including Product Pricing/Yields, Funds Transfer Pricing methodologies and balance sheet mix and capital management concepts considered an asset
        • Post-secondary degree in Finance, Accounting, Mathematics, Economics or related field
        • MBA, CFA, or CPA preferred
        • Minimum 2 to 4 years FP&A experience
        • Advanced skills with Microsoft Excel, PowerPoint and Think-cell
        • Knowledge of the Bank’s source and reporting systems an asset (i.e., OBI, Hyperion, Smartview)
        • +
        +

        +

        What’s in it for you?

        +
        • An inclusive & collaborative working environment that encourages creativity, curiosity, and celebrates success!
        • We offer a competitive rewards package: Performance bonus, Employee Share Ownership Program, and Pension Plan Matching, Health Benefits from day one!
        • Your career matters! You will have access to career development and progression opportunities.
        • +
        +

        +

        #scotiafinancejobs

        +

        +

        Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst%2C-Financial-Planning-and-Analysis-ON-M5C2W1/570039017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-22T15:57:03.679Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/237205979-senior-analyst-financial-planning-and-analysis-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst%2C-Financial-Planning-and-Analysis-ON-M5C2W1/570039017/,draft,2023-06-17T15:52:05.208Z,import-xml-feed:Scotiabank,,,,,,, +5c0fed08-16c1-421c-a5ba-bebb6cbfb8f0,237205971,Scotiabank,"Manager, Enterprise Growth Marketing, Media Strategy & Activation",on_site,Canada : Ontario : Toronto,2023-06-17T15:52:03.990Z,"

        +

        +

        +

        +

        Requisition ID: 172097

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

        +

        +

        Purpose
        The Manager, Enterprise Growth Marketing, Media is responsible for contributing to the Digital Marketing team’s success by leveraging multiple digital channels and buying platform capabilities. The incumbent will be responsible for the development and execution of holistic paid media programs, including programmatic display, social, affiliates and search to drive unit sales, revenue and growth. This role is ideal for someone who views experiences holistically through a customer-centric lens, is data-driven and digitally savvy, loves balancing multiple stakeholders, and can switch quickly from strategic thinking to tactical execution to drive exceptional business results.

        +

        +

        +

        Accountabilities
        1. Be the Paid Media Champion
        • Be the Paid Media subject matter expert with well-rounded knowledge across all digital channels, , specifically programmatic display.
        • Tie paid acquisition efforts into overall holistic omni-channel strategy
        • Stay up to date with digital advertising industry, best practices and capabilities
        • Make recommendations on new ideas and testing opportunities
        • Identify trends, training and coaching opportunities for the team to improve their digital buying skills

        +

        +

        2. Campaign Management
        • Lead the development of Paid Media Acquisition strategy across all digital channels (Affiliates, Search, Social and programmatic display) to drive unit sales
        • Contribute to overall squad efforts to achieve forecasted sales and revenue goals
        • Execute paid media strategy in platform, track budgets and optimize for performance
        • Manage ad copy creation and ad approvals across all channels

        +

        +

        3. Collaboration

        +

        • Partner with SEO specialist, customer journey managers, content specialists and ecommerce team to improve page relevancy, page content, customer experience, and digital sales performance
        • Work with business line partners and squad team members to achieve business objectives
        • Partner with Analytics team to develop dashboard and verify data

        +

        +

        +

        Skills
        • Solid understanding of performance marketing channels, technology and analytics that is also current with an ever-changing digital landscape.
        • Strong interpersonal/communication skills and high level of strategic thinking.
        • Superior writing, research, presentation and project management skills.
        • Ability to manage, collaborate and/or influence cross-functional groups, team members and senior stakeholders, both based within Canada as well as outside of the market.
        • Broad understanding of and passion for the sports and fashion/entertainment industry not required but an asset.

        +

        +

        +

        Education and Platform Experience

        +

        • College Diploma or University Degree in a relevant field.
        • 5-8 years’ industry and / or relevant work experience
        • Experience with digital marketing platforms such as:
        o Google Display & Video 360 (DV360)
        o Google Campaign Manager 360 (DCM)
        o Amazon Ads
        o Facebook Ads Manager
        o Pinterest Ads Manager
        o Google Ads Manager
        o Search Ads 360
        o Adobe Analytics
        o Google Analytics
        o Google Looker Studio (formerly Data Studio)
        o Microsoft Power BI
        • English Language is must and French proficiency is an asset.

        +

        +

        Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/Manager%2C-Enterprise-Growth-Marketing%2C-Media-Strategy-&-Activation/567130117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-03T15:57:04.998Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237205971-manager-enterprise-growth-marketing-media-strategy-activation-at-scotiabank,https://jobs.scotiabank.com/job/Manager%2C-Enterprise-Growth-Marketing%2C-Media-Strategy-&-Activation/567130117/,draft,2023-06-17T15:52:03.990Z,import-xml-feed:Scotiabank,,,,,,, +9e274976-efa2-4132-99fb-e6a0d0509b9a,237205997,TD Bank Group,"Manager, Business Application Mgmt (Product Owner)",on_site,"Toronto, ON",2023-06-17T15:53:02.238Z,"
        +

        Company Overview

        +
        +

        Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

        +

        Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

        +
        +

        +

        Department Overview

        +
        +

        Business Application Ownership and Management at TD is part of an enterprise-wide data and analytics ecosystem. We strive to be the better bank, and in this role, we’ll count on you to be our interface between business and technology.

        +

        We’re looking for highly analytical, collaborative and agile professionals who can merge and translate data to build business momentum and deliver results.

        +

        Using professional and experiential knowledge, the Business Application Ownership and Management team works in close partnership with corporate functions and technology, as well as aligns to project management, business analysis, business management, strategy and governance.

        +

        Reporting to the Sr. Manager, Business Application Management, the Business Application Manager within Fraud Product is responsible to Lead and execute initiatives that vary in size and complexity along with supporting transformational and business as usual initiatives from business case to execution and sustainment to business as usual (BAU) and adoption within Enterprise Protect and other Business. The Business Application Manager plays an integral role in supporting the organization’s senior leadership in achieving their objectives.

        +
        +

        +

        Job Description

        +
        +

        About this Role

        +

        The general accountabilities of this role include, but are not limited to the following:

        +
          +
        • Establish Product owner presence and appropriately guide agile teams, Business owners, and other partners to successful product feature completion.
        • +
        • Own and maintain product roadmap to establish vision, clarity, and alignment with the strategic and tactical direction of the Business.
        • +
        • Familiarity and working knowledge of Azure offerings and cloud migration initiatives related to data analytics & modeling.
        • +
        • Keeping up to date with recent fraud trends and analytical tools to help combat fraud.
        • +
        • Collaborate across other delivery teams to provide ongoing pipeline & status updates for initiatives to ensure we achieve desired and end state on time and in budget
        • +
        • Work closely with, influence and effectively manage relationships with key partners and stakeholders, up to the Executive Level, to successfully delivery & implement initiatives & meet associated business objectives
        • +
        • Promote TD Agile practices and train project members and/or Business users where applicable
        • +
        • Collaborate with architects, applications, and systems development teams to ensure database designs and data models support the integration of data/information flow across systems and platforms
        • +
        • Proactively build and maintain regular detailed reports/dashboards to enhance existing portfolio reporting and identify trends
        • +
        • Oversee scope of the project and collaboratively adjusts scope when necessary, ensuring adherence to established project change management processes
        • +
        • Adhere to enterprise project gating and governance controls to ensure that projects meet all the performance, quality and compliance standards and conforms to appropriate methodology
        • +
        • Apply data modelling and database design standards, everything ranging from naming standards to database performance optimization; implement data strategies; build data flows, personas, user journeys and assisting Business Architecture team to map them to target state capabilities
        • +
        +
          +
        • Conduct ad-hoc analysis as required by the business and deliver results by developing and executing on innovative analytical solutions
        • +
        • Work creatively as an out-of-the-box thinker, with conceptual and problem-solving skills
        • +
        • Exercise excellent judgment and has personal integrity when handling sensitive/confidential information
        • +
        +
        +

        +

        Requirements

        +
        What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

        +
          +
        • Undergraduate degree or technical certificate
        • +
        • Seven (7) or more years relevant experience
        • +
        • Working knowledge of enterprise data governance policies, processes, and data management implementation for SQL database servers.
        • +
        • Thorough knowledge of project management principles, practices, techniques, and tools
        • +
        • Experience executing projects using different approaches, like Waterfall, Iterative, or Agile
        • +
        • Previous experience developing and executing on strategies and delivering superior results in both the short and long term
        • +
        • Strong analytical and problem-solving skills; uses strong communication skills to communicate complex issues in easily understandable terms.
        • +
        • Proven ability to see business processes through the customer and employee lens
        • +
        • Ability to deal with significant ambiguity and flexibility to adapt to changing business priorities in a fast-paced environment while continuously challenging the status quo
        • +
        • Strong business acumen, financial acumen and analytical skill set – ability to absorb information on a variety of complex issues (financial and non-financial) and summarize key issues or concerns and identify common themes and trends
        • +
        • Strong communication (written & verbal) and inter-personal skills to facilitate working with colleagues at all levels of the Organization
        • +
        • Team player with exceptional relationship management & influence skills
        • +
        • Natural collaborator who engages colleagues, business partners, external stakeholders, and employees at all levels of the organization with a superior ability to make things happen using positive influence
        • +
        • Sound working knowledge of various software applications (e.g. MS Excel, MS Word, MS PowerPoint, Project, Visio, etc.)
        • +
        • Experience in any Fraud Management group would be valuable but not essential
        • +
        • Relevant university degree or equivalent work experience
        • +
        • At least 3+ years of experience working in an Agile environment and proficient in using JIRA/Confluence.
        • +
        • +
        • Nice to Have
        • +
        • Specific experience as a Product Manager for data and/or analytics-intensive solutions – identifying customer data needs, prioritizing backlog, guiding solution construction and implementation,
        • +
        • Conceptual understanding of big data approaches and technologies.
        • +
        • Familiarity with Relational, NoSQL, and Hybrid database management systems.
        • +
        • Understanding of Data Engineering and Data Science approaches and concepts.
        • +
        +
        +

        +

        Additional Information

        +
        #TDCYBERSCEURITY
        #LI-POST +
        +

        +

        Hours

        +
        37.5
        +

        +

        Inclusiveness

        +

        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

        +

        +
        ",,https://jobs.td.com/en-CA/jobs/18582997/manager-business-application-mgmt-product-owner-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-07-17T15:53:02.279Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237205997-manager-business-application-mgmt-product-owner-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18582997/manager-business-application-mgmt-product-owner-toronto-ca/,draft,2023-06-17T15:53:02.238Z,import-xml-feed:TD-Bank-Group---Job,,,,,,, +63b45adf-924d-4133-a6b1-c008b43e731a,237205994,TD Bank Group,"Sr Mgr, Business Application Mgmt (Product Development)",on_site,"Toronto, ON",2023-06-17T15:53:02.021Z,"
        +

        Company Overview

        +
        +

        Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

        +

        Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

        +
        +

        +

        Department Overview

        +
        +

        Business Application Ownership and Management at TD is part of an enterprise-wide data and analytics ecosystem. We strive to be the better bank, and in this role, we’ll count on you to be our interface between business and technology.

        +

        We’re looking for highly analytical, collaborative and agile professionals who can merge and translate data to build business momentum and deliver results.

        +

        Using professional and experiential knowledge, the Business Application Ownership and Management team works in close partnership with corporate functions and technology, as well as aligns to project management, business analysis, business management, strategy and governance.

        +

        If you get business application management, its potential and power, we think you’ll love working with like-minded and innovative experts at TD, where you can help drive the business forward and take your own career to new heights.

        +
        +

        +

        Job Description

        +
        +

        +

        About this Role

        +

        Are you looking for a strategic leadership role where you can inspire and influence a team as well as the overall strategy enterprise-wide? Can you lead within an ecosystem of inter-connected teams, projects and business applications to grow team expertise to align with business and enterprise demand and direction?

        +

        We’re looking for a confident, capable and collaborative senior people manager ready to lead, optimize and grow a sizeable team of business application management professionals.

        +

        +

        As a Senior Manager, Business Application, you will:

        +
          +
        • Oversee and lead a large, highly complex and diverse reporting function for an area of significant risk, complexity and scope while growing talent, developing skills and capabilities to achieve career goals, support project/initiative success and achieve business results
        • +
        • Provide people management leadership and deliver business results by hiring top talent, allocating resources appropriately, setting goals, coaching, mentoring and developing staff and managing performance and compensation
        • +
        • Be a strategic partner to your leadership team on the management of the portfolio and financials, with deep industry, internal, and external competitive knowledge
        • +
        • Set operational team direction and facilitate key strategic discussions / provide thought leadership to executives to identify operational efficiencies and opportunities
        • +
        • Be directly accountable for leading and managing business operations practices by planning for a longer timeframe to support three or more business applications
        • +
        • Oversee financial planning and management processes for Operations and Marketing Technology budgets as Operational Excellence Champion
        • +
        • Own and maintain three-year roadmaps to establish vision, clarity and strategic alignment with business
        • +
        • Own the deployment and change requirements for initiatives and projects spanning across all project tiers
        • +
        • Be accountable for documentation management (e.g. operations manuals, test plans, more)
        • +
        +
        +

        +

        Requirements

        +
        +What can you bring to TD?

        +

        Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

        +
          +
        • Undergraduate degree or technical certificate
        • +
        • Ten (10) or more years relevant experience
        • +
        • Advanced knowledge of business-supported applications, PDLC methodology, business testing, project management, change management and governance standards as well as current and emerging competitor and market trends
        • +
        • High level proficiency in forecasting initiatives and demanding to develop annual strategic plan in alignment with established guidelines and regulatory requirements under Privacy, Legal and Compliance
        • +
        • Expertise in managing budgets and resource allocation
        • +
        • Adroit in using analytical software tools, MS Office, data analysis methods and reporting techniques
        • +
        • Adept in working multi-functionally and communicating positively and professionally (both in speaking and writing) and establishing positive working relationships across multiple business and technology partners, programs and project managers
        • +
        • Act as a brand ambassador for your team, business area / function and TD, internally and externally
        • +
        +
        +

        +

        Hours

        +
        37.5
        +

        +

        Inclusiveness

        +

        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

        +

        +
        ",,https://jobs.td.com/en-CA/jobs/18588801/sr-mgr-business-application-mgmt-product-development-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-06-19T15:58:04.825Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237205994-sr-mgr-business-application-mgmt-product-development-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18588801/sr-mgr-business-application-mgmt-product-development-toronto-ca/,draft,2023-06-17T15:53:02.021Z,import-xml-feed:TD-Bank-Group---Job,,,,,,, +2a3849c3-dbb9-4762-939c-6c0d93672469,237206023,Magna International,MRO Supervisor,on_site,"Newmarket, ONTARIO, CA, L3X 2S2",2023-06-17T16:04:02.460Z,"
        +
        +

        Role Summary

        +

        The MRO Supervisor will ensure MRO spare parts, inventory and sourcing meet Cam-Slide standards. Responsible for quote, negotiation, project and supplier management. Supports production and maintenance with cost and timing, for all production/ prototype / service/maintenance components, tools, spare parts or services as required.

        +
        +
        +

        Key Responsibilities

        +

        • Support the development, data collection and reporting of Key Performance in the Maintenance Department
        • Provide daily leadership and supervision to the tool crib attendants including performance management, task prioritization and guidance on tool crib issues.
        • Lead and oversee the tool crib attendants and ensure inventory levels are monitored and recommend min/max level adjustments to minimize inventory value.
        • Ensures timely creation and accurate detailed entry of purchase requisitions and purchase orders preceding authorization approval
        • Complete accounting functions for maintenance department including PO processing and verify documentation for accounts payable.
        • Maintain Parts & Supplies minimum stock and following activities: 5S within the area to ensure organization and appropriate tracking, issue parts from sign out sheets and tracking documents, restock and order parts as needed to maintain appropriate inventory
        • Obtain/ evaluate competitive quotations to obtain the best overall purchase cost, timing and quality. Contract negotiation, analysis and implementation
        • Performs analysis of costs for use during sourcing process ensuring a minimum of 3 quotes are reviewed prior to source selection. Prepare matrix of costs for review by team.
        • Manage Contractors used for key preventative maintenance programs.
        • Ensure contractors receives contractor’s health and safety packages as well as monitor contractors on site.
        • Ensure Contracted services and programs are accurate, completed and not overdue.
        • Use Fiix to track maintenance activities for the facilities including inspection and repairs with Contractors performing maintenance
        • Use Fiix Daily to manage WO History, track progress and repair costs.
        • Audit Fiix WO System for accuracy and improvements
        • Expedite orders, when necessary, effectively manage expedites to eliminate emergency surcharges. Presents action plans to identify expedites and corrective actions.
        • Establish and maintain controls for quantity, quality, price and delivery of related incoming purchased items.
        • Manage all assets and spare parts inventory including vending Machines. Lead inventory cycle counts periodically to ensure accuracy.
        • Monitor incoming and outstanding requests including audit findings and work order requests from other departments.
        • Participate in maintenance meetings and consistently see continuous improvement ideas to include cost savings and cost avoidance applications.
        • Identify best practices; collaborate with Maintenance Lead for implementation of Continuous Improvement on existing Preventative Maintenance documents
        • Oversee management of consignment stock and identify opportunities to minimize inventory value
        • Ensures all incoming materials meet governmental and safety constraints on restricted, toxic and hazardous materials.
        • Focused effort to maintain and develop a qualified supply base that works with Cam-Slide in a partnership to ensure our goals are achieved
        • Other duties as assigned by Manager
        • Adhere to all IATF 16949 policies and procedures
        • Must comply with all ISO 14001 (Environmental) and OHSAS 18001 (Health and Safety) systems and standards as it pertains to their work
        • Abide by all AODA and C-TPAT procedures that apply to their position

        +
        +
        +

        Key Qualifications/Requirements

        +

        • 3 Years’ experience in MRO within the manufacturing industry.
        • Previous experience as an MRO Supervisor preferred
        • Previous experience in contractor management preferred.
        • Excellent organizational, analytical and time management skills with the ability to manage multiple responsibilities to completion within a tight timeline
        • Excellent interpersonal skills required, including an ability to work collaboratively within a fast-paced environment
        • Demonstrated communication and negotiation skills
        • Demonstrated ability to pull the necessary resources together to complete the jobs required
        • Demonstrated ability to distinguish and balance priorities within the areas of responsibility while meeting both the short and long-term objectives
        • The ideal candidate will possess the drive, passion and ability to motivate the team to meet the project goals
        • Proficient in Microsoft Office application
        • Previous experience using maintenance CMMS systems
        • Knowledge of data analysis, and report writing

        +
        +
        +

        Additional Information

        +

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

        +
        +
        +

        Awareness. Unity. Empowerment.

        +
        +

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

        +

        +

        #LI-NM1

        +
        +
        +
        ",,https://jobs.magna.com/job/MRO-Supervisor/570640617/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-03T16:09:04.525Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206023-mro-supervisor-at-magna-international,https://jobs.magna.com/job/MRO-Supervisor/570640617/,draft,2023-06-17T16:04:02.460Z,import-xml-feed:Scrapy-Scraper,,,,,,, +e68f9c43-7985-4e77-b3b4-5805d22c7849,237206026,Magna International,Automation Robotics Technician (Night Shift) 1 1,on_site,"Concord, ONTARIO, CA, L4K 2R2",2023-06-17T16:04:02.578Z,"
        +
        +

        HEALTH, SAFETY & ENVIRONMENTAL RESPONSIBILITIES

        +

        Ensure all safety and non-safety rules and regulations are followed. Review and adhere to division-specific health and safety, environmental, and quality standards, operating procedures, and policies. Respond and report in a timely manner to items brought to his/her attention with respect to hazards, defects or non-compliance issues. Understand and uphold the policies that prohibit workplace violence and harassment.

        +
        +
        +

        KEY JOB RESPONSIBILITIES

        +

        1. Responsible for modifying existing automation control systems as well as designing, estimating, and commissioning new automation control systems integrated with Robots based on PLC’s
        2. Implement Safety Category 4 for all required installations, presses and robotics work cells
        3. Integrate equipment with robots and various testing and monitoring instruments
        4. Troubleshoot process problems and initiative and/or participate in Continuous Improvement initiatives and quality improvements
        5. Maintain and service automated work cells; mechanical and hydraulic presses
        6. Set up and conduct predictive and preventative maintenance programs for required equipment
        7. Perform all work in good standard, respond to off duty calls, and work rotating shifts if required.
        8. Follow all work cell and/or department standardized work instructions/procedures.
        9. Ensure, with the cooperation of other Co-Ex-Tec departments and Corporate that the division achieves and maintains the highest possible Customer rating for satisfaction; strive for zero defects in all areas of the business.
        10. Ensure compliance and enforcement of Customer Specific Requirements, QMS (IATF16949), Health and Safety (ISO 45001), EMS (ISO14001), and security (PIP) requirements.
        11. Perform housekeeping duties to maintain a clean, safe, and organized work area.
        12. Promote and comply with health, safety, and environmental standards, safe operating procedures, good housekeeping practices and the observance of protective equipment requirements at all times.
        13. Attend authorized training in order to develop and/or maintain relevant job-related knowledge, techniques, skills, and/or certification.
        14. May be required to carry out job duties and responsibilities in a work environment that may include, but is not limited to, varying levels of noise and/or temperature.
        15. Perform any other reasonable duty as required or assigned by Management.

        +
        +
        +

        CORE COMPETENECIES AND SKILLS

        +

        • Proficient knowledge in PLC Programming: Allen Bradley RsLogix 500, 5000, Omron Sysmac Studio, Omron CS-Programmer, Omron NT-series Support Tool, Beckhoff, Visual Studios, Factory Talk View Studio, HMI Software (RsView Studio ME), Office, AutoCAD, Ethernet based communications and networks
        • Ability to understand advanced PLC commands and HMI usage
        • Ability to create and modify electrical drawings, process & instrumentation diagrams and schematics when required
        • Exposure with configuring communication bus architectures using Ethernet and DeviceNet
        • Experience with the design and integration of machine safety circuits, safety PLC’s and applications (ABB Jokab)
        • Relevant experience with motion control architectures preferably around Allen Bradley Kinetix and/or VFD drive systems
        • Experience with Data Tracking using Barcode Scanners or RFID
        • Must be willing to work “hands on” in the manufacturing area
        • Extensive knowledge of the Ontario Electrical Code and Electrical Circuits Confident leading automation programs and integrating robot applications
        • Experience with Fanuc, ABB, and Kuka robots an asset
        • Excellent communication skills both written and oral
        • Excellent analytical and problem solving skills
        • Willing to work overtime as per job requirements

        +
        +
        +

        EDUCATION AND PROFESSIONAL EXPERIENCE

        +

        • Degree/diploma in Electrical Engineering, or Electro-Mechanical Engineering
        • Certified Electrician, an asset
        • Minimum 3 Years of experience in Electrical / Controls Design and Programmable Logic Controllers / Human Machine Interface Programming (PLC / HMI) / Vision Systems / Robot programming and troubleshooting including debugging, testing and commissioning.
        • Strong MS Office skills

        +
        +
        +

        Additional Information

        +

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

        +
        +
        +

        Awareness. Unity. Empowerment.

        +

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

        +
        +
        ",,https://jobs.magna.com/job/Automation-Robotics-Technician-%28Night-Shift%29-1-1/571052717/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-03T16:09:04.525Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206026-automation-robotics-technician-night-shift-1-1-at-magna-international,https://jobs.magna.com/job/Automation-Robotics-Technician-%28Night-Shift%29-1-1/571052717/,draft,2023-06-17T16:04:02.578Z,import-xml-feed:Scrapy-Scraper,,,,,,, +360e573f-2e46-4f9a-87b9-cd621ed44327,237381186,Scotiabank,QA Specialist - Data Engineering,on_site,Canada : Ontario : Toronto,2023-06-18T15:52:02.633Z,"

        +

        +

        +

        +

        Requisition ID: 177926

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

        +

        +

        Data Quality Assurance Team under Canadian Banking Technology (CBT) Data Services Organization is responsible for Quality assurance & testing automation for all projects related to Data Engineering, ingestion, transformation and delivery between Canadian Banking source applications and Enterprise data lake (EDL), Enterprise Data Warehouse and Global Data & Analytics Platform.

        +

        +

        This position will help to ensure to perform functional and non-functional testing of ETL/ELT jobs for data and analytics platforms, including but not limited to Hadoop, Azure, SQL server, DB2, Oracle, NoSQL

        +

        +

        Developing test plans that ensure appropriate functions, features and scenarios are exercised for each new application/release; driving test development and execution to meet the project objectives for each new application/release; testing code fixes and change requests after the data integration jobs move into production including regression testing as appropriate; and establishing a testing framework that promotes a repeatable, quality-driven test process for all phases of the software development lifecycle.

        +

        +

        Guided by Bank policy, receives direct supervision from the Senior Manager. Within a well-defined task, the QA Specialist is expected to function independently while ensuring that management is kept informed, and that problems and issues are escalated appropriately.

        +

        +

        What will you do?

        +

        +
        • Your passion for Software/Data Quality and ETL testing
        • Exposure to Big Data, Enterprise Data Lake, Hadoop is an asset
        • Expert knowledge of SQL queries, ETL, Back-End testing
        • Work with Technology Partners, Source Teams, Developers, Business Analysts to understand mapping and resolve complex data logic
        • Work with QAT Leads across value streams within QAT to understand test data requirements and facilitate test data preparation
        • You are diligent with documenting test artifacts such as, test plans, test cases, test results and defect reports
        • You are proactive and part of a dynamic team in an Agile environment
        • You work with your scrum team to design and develop test strategies, testability requirements and implementation strategies
        • You will contribute to test automation tools and infrastructure by creating and augmenting test cases and test libraries
        • You are comfortable working in a self-guided manner with the ability to prioritize tasks and manage your own time efficiently, without direct input or oversight
        • You work as part of a team and encourage both individual and collaborative innovation
        • You’re a fast learner who has an appetite for learning what’s behind both simple and complex solutions
        • You have a positive and resilient personality. You must be able to embrace feedback and have a desire for continuous iteration and improvement
        • You have strong analytical and problem resolution skills
        • +
        +

        +

        What do you need to succeed?

        +

        +
        • QA Specialist with strong ETL testing background, minimum of 9 years of experience
        • Excellent knowledge of SQL
        • Experience with Automation skills such as Robot framework, Python, etc.,
        • Excellent knowledge of data warehouse concepts and database such as Oracle, DB2, SQL Server, NoSQL(MongoDB, Cassandra)
        • Experience with one or more ETL applications like Talend, SSIS, Data Stage, Informatics, Oracle Data Integrator
        • Testing experience in Hadoop and public cloud environment, including Azure
        • Working knowledge of JIRA, Data Comparison tools
        • You have experience in software testing techniques, methodologies, and tools
        • Establish traceability between test cases, user stories and bugs
        • Expert understanding of UAT standards and methodology
        • Testing Automation strategy definition and execution
        • Effective communication skills to address issues with QA testing and other department staff who have varying degrees of experience and technological knowledge
        • Outstanding written and verbal communication abilities
        • +
        +

        +

        What's in it for you?

        +

        +
        • We have an inclusive and collaborative working environment that encourages creativity and curiosity and celebrates success
        • We provide you with the tools and technology needed to create meaningful customer experiences
        • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
        • We hire you for your talent — not just a job — so you can grow with us. We’ll equip you for success not only in your role, but also in your career as a whole
        • Dress codes don't apply here: being comfortable does
        • Our work from home social channel offers weekly virtual yoga, social events, learning opportunities, and contests to share current experiences & promote wellbeing in our new remote environment
        • Access to thousands of online and in-person courses so you can hone your current skills, or learn new ones
        • A competitive rewards package that includes a base salary, a performance bonus, company matching programs on pension and profit sharing, paid vacation, personal & sick days, medical, vision, and dental benefits that start from day one and much more
        • +
        +

        +

        Work conditions: Hybrid

        +

        Some of our perks & onsite offerings will be offline as we continue to monitor federal and provincial regulations around COVID-19

        +

        +

        #LI-Hybrid

        +

        +

        +

        Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/QA-Specialist-Data-Engineering/570400617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-22T15:57:03.679Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/237381186-qa-specialist-data-engineering-at-scotiabank,https://jobs.scotiabank.com/job/QA-Specialist-Data-Engineering/570400617/,draft,2023-06-18T15:52:02.633Z,import-xml-feed:Scotiabank,,,,,,, +070f1913-77b2-436d-8de8-7b7a03d5e910,237205996,TD Bank Group,Business Insights Specialist,on_site,"Toronto, ON",2023-06-17T15:53:02.182Z,"
        +

        Company Overview

        +
        +

        Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

        +

        Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

        +
        +

        +

        Department Overview

        +

        Personalization Analytics is a newly formed team in ED&A with an enterprise scope, whose role is to create a set of analytical capabilities that will enable internal partners to provide more personalized outcomes that will ultimately impact TD customers and treat them more uniquely.

        +

        +

        Job Description

        +
        +

        About this Role

        +

        We are seeking a highly experienced and dynamic Business Insights Specialist to lead our Data and Analytics team in driving personalization analytics initiatives at TD. This role combines strategic leadership with hands-on analytics expertise, focusing on project execution, delivery, and driving data-driven decision-making. If you are a visionary leader with a strong analytical background and a track record of successfully delivering impactful analytics projects, this is an exceptional opportunity to shape the future of personalization analytics in the banking industry.
        The successful candidate will work in a fast-paced and results-oriented environment and will be part of a learning culture where ongoing development is encouraged
        Specific accountabilities include:

        +
          +
        • Able to effectively communicate analytical insights in a compelling and actionable manner to senior leadership and key stakeholders, driving data-driven decision making across the bank.
        • +
        • Ensure successful execution and delivery of analytics projects
        • +
        • Collaborate closely with cross-functional teams to identify business requirements, align analytics initiatives with organizational goals, and establish project timelines and deliverables.
        • +
        • Utilize advanced statistical techniques, machine learning algorithms, and predictive modeling to analyze complex data sets, extract actionable insights, and develop innovative solutions to drive customer personalization and enhance business outcomes.
        • +
        • Build insights solutions end to end (from initial demand to results/recommendation presentation) ranging in complexity
        • +
        • Drive the adoption of data-driven decision-making processes, providing guidance and support to business stakeholders in leveraging analytics insights for strategic planning and initiatives.
        • +
        +

        EMPLOYEE & TEAM

        +
          +
        • Participate fully as a member of the team, supporting a positive work environment that promotes a culture of: gaining insights and learning, producing quality results, driving innovation, and teamwork and ensure timely communication of issues/ points of interest.
        • +
        • Contribute to a fair, positive and equitable environment that supports a diverse workforce.
        • +
        +

        BREADTH & DEPTH

        +
          +
        • Takes ownership of solving large, complex problems requiring analysis of multiple variables, including consultation with multiple stakeholders.
        • +
        • Builds stakeholder alignment in leading projects and activities; may provide process and subject matter advice at senior levels
        • +
        +
        +

        +

        Requirements

        +
        +

        What can you bring to TD?
        This role requires a combination of technical skills, project management, and interpersonal skills:
        Technical Skills:

        +
        • High Proficiency in Python and SQL. Prior experience in machine learning would be considered a strong asset.
        +

        Interpersonal Skills:

        +
          +
        • Flexibility and resilience to execute in an agile environment, including the ability to adapt and manage changing priorities
        • +
        • Analytical and intellectually curious, seeking to understand root causes
        • +
        • Strong presentation and communication skills
        • +
        +

        Additional information
        Education and Accreditation

        +
          +
        • Post-secondary degree is required.
        • +
        • +A Master’s degree is considered to be an asset.
          • Seven (7) or more years relevant experience in leveraging data and analytics. Banking and financial services industry would be considered a strong asset.
          +
        • +
        +
        +

        +

        Additional Information

        +
        +#LI-Hybrid #LI-Post
        +

        +

        Hours

        +
        37.5
        +

        +

        Inclusiveness

        +

        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

        +

        +
        ",,https://jobs.td.com/en-CA/jobs/18391088/business-insights-specialist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-07-10T15:58:01.918Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237205996-business-insights-specialist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18391088/business-insights-specialist-toronto-ca/,draft,2023-06-17T15:53:02.182Z,import-xml-feed:TD-Bank-Group---Job,,,,,,, +845d5256-6153-4363-8121-afdfe60a5f8c,241425102,Scotiabank,"Global Head, Data Security",on_site,Canada : Ontario : Toronto,2023-06-30T15:52:02.993Z,"

        +

        +

        +

        +

        Requisition ID: 178751

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

        +

        +

        Reporting to the CISO & Senior Vice President Information Security & Control, the Global Head, Data Security, will be responsible for leading a team of data security experts in implementing and deploying new and emerging data management and protection models, standards and technologies that are required to keep the Bank and its customers safe and secure globally.

        +

        +

        Accountabilities:

        +
        • Design a proactive global data strategy that ensures data is properly secured regardless of its environment or where it’s located
        • Design a data management model for how we model and manage unstructured data
        • +Lead a team of data and cyber security technologists to implement and maintain new data security standards and technology across the Bank globally. Understand the content, usage, external governing regulations and how to implement solutions across all of the geographies in which Scotiabank operates.
          • Determine appropriate controls with key stakeholders
          • Procure technology according to the Bank’s Enterprise Delivery Framework
          • Budgeting, forecasting and financial oversight of the total cost of new technology implementation
          • Ensure that we stay current and aligned to the market and dynamic regulatory changes over data residency
          • Evaluate external data management practices to ensure that third parties are appropriately protecting Bank data
        • Provide strategic direction to the team to identify, manage and manipulate data that enables prompt identification of abnormal activity that could indicate an active internal or external threat to the Bank
        • Partner with the Data and Analytics team to understand and influence the sensitivity and classification of business data to ensure that it is appropriately protected regardless of where it is stored.
        • Partner with the Privacy Office and Compliance teams globally to ensure that we are meeting country-specific requirements.
        • Provide data domain expertise to the cyber strategy by developing roadmaps to represent current and future state
        • Champion innovative and proven data protection approaches and create cross-bank awareness across Digital Factories; Architecture and Engineering teams, Global Technology Services, Data and Analytics, Information Security & Control and other key stakeholders to implement and operationalize new data security technologies which will reduce the invested effort before discovering a problem
        • Represent the bank and partner with new and emerging technology vendors, including Venture Capital partnerships, which will benefit the bank (Examples include RiskIQ, Team8/Sygnia, etc.)
        • Keep abreast of new technologies and maintain the data security component of the Cyber Security roadmap.
        • Continually research and explore opportunities to simplify processes and technologies and associated costs, and continuously evaluate our existing processes and toolsets against best-in-class alternatives.
        • Maintain deep communications and positive external relations across the cyber/ financial industry.
        • Directs day-to-day activities in a manner consistent with the Bank’s risk culture and the relevant risk appetite statement and limits. Communicates the Bank’s risk culture and risk appetite statement throughout their teams.
        • Creates an environment in which his/her team pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
        • Builds a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment and using a coaching mindset and behaviours; communicating vison/values/business strategy; and, managing succession and development planning for the team.
        • +
        +
        +
        +
        Education & Experience :
        +
        +
        • Expert knowledge of data security solutions, data models, systems architectures, operational models, security techniques and standards such as NIST and the MITRE ATT&CK framework
        • Five plus years experience leading large, global teams, and 10+ years in data or Cybersecurity roles
        • Proven ability to engage and influence multi-disciplinary Executive Stakeholders
        • +
        +

        #LI-Hybrid #cyberatscotia

        +
        +

        +

        Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/Global-Head%2C-Data-Security/570669417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-03T15:57:04.998Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/241425102-global-head-data-security-at-scotiabank,https://jobs.scotiabank.com/job/Global-Head%2C-Data-Security/570669417/,draft,2023-06-30T15:52:02.993Z,import-xml-feed:Scotiabank,,,,,,, +3d54076c-9935-496a-88f2-4036b3c93a2c,241425101,Scotiabank,"Senior Manager, Account Management (Retail Credit Risk Strategy/Analytics)",on_site,Canada : Ontario : Toronto,2023-06-30T15:52:02.431Z,"

        +

        +

        +

        +

        Requisition ID: 178268

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

        +

        +

        Purpose of Job:

        +

        +

        The mandate of this role is to lead the development of credit risk lending strategies for all retail products to optimize risk/return for Canadian Banking. The incumbent will utilize their analytical, data mining, statistical, credit risk management and leadership skills to achieve success in this role.

        +

        The incumbent will ensure all strategies across various stages of account management, provide appropriate reporting and analysis to:

        +
        • Lead the strategy development and processes for credit limit management, authorization, pricing, re-issue, reviews, OTB management, and overlimit
        • Closely monitor performance to ensure each strategy decision area is delivering both optimal profitability and is aligned with the Bank’s Credit Risk Appetite
        • Drive continuous improvement in strategy effectiveness with focus on incremental profitability
        • Leverage Champion / Challenger capabilities wherever possible to confirm assumptions and justify changes
        • Identify root cause, making recommendations to senior management (VP+) and implementing any recommended changes to any / all of customer management business strategies
        • Work closely with business line partners to ensure customer management strategies, credit limits, authorization volumes, and marketing campaigns are within the Bank’s stated Risk Appetite.
        • Recommend changes to business line strategies to ensure the Bank does not take on more credit risk than planned, including a forward-looking assessment to ensure it is within Risk Appetite
        • Support the implementation of credit lending policies to ensuring consistency and adherence across different business units and channels
        • Introduce changes under a test/control framework to help drive unbiased, evidence-based decisions that improve key performance metrics
        • +
        +

        +

        This position requires technical expertise including experience with risk technologies, portfolio management and behavior scoring to optimize strategies, policies, and business rules. As well as a deep understanding of credit bureau information and processes

        +

        +

        Job Responsibilities:

        +

        +
        • +All Customer Management Strategies (Line Management, Authorization, Overlimit, Pricing, Re-issue, Review)
          • Design and develop portfolio segmentations for the purpose of optimization of sales/ profitability and credit risk using sophisticated data mining techniques. This includes identifying opportunities for better management of existing strategies and processes for credit limit, reissue, overlimit, pricing, and authorization
          • Lead long term strategies that identify the need for risk technologies. Lead cross-functional project teams to implement. Ensure risk technologies are fully leveraged post-implementation
          • Analyze and report regularly on performance of existing portfolio strategies deployed across Credit cards, Unsecured and Real Estate Secured Lines of Credit and Overdraft
          • Make recommendations on improvement of existing strategies, procedures, and policies
          • Promote best practices and leverage appropriate risk technologies for all strategy and policy changes
        • +Portfolio and Strategy Monitoring
          • Monitor, assess and evaluate various customer management strategies as well as overall portfolio performance. Through various dimensions of analysis, work closely with business partners to develop actionable tactical recommendations to enhance program effectiveness and profitability
          • Evaluate the performance monthly of risk-related strategies and liaise with business partners to assess current/emerging trends and impact to portfolio
          • Create a test and learn framework specific to portfolio strategies to identify future opportunities using applicable risk technologies, primarily TRIAD
          • Identify if any credit risks are or will become more than the Risk Appetite Framework. Move quickly to rectify including identifying root cause, making recommendations to senior management, and implementing changes to portfolio and business line strategies
        • +
        +

        +
        • +Support Business Line Initiatives/Projects
          • Work with GRM analytics, Canadian business, and product partners to ensure customer management strategies are developed using best practices including decision science and strategies follow divisional minimum standards
          • Work with business line partners to ensure business strategies across customer management are consistent with the Risk Appetite Framework (a forward-looking, prearranged amount of credit and other risk that the Bank is willing to take)
          • Identify opportunities and recommend changes to business line strategies to ensure the Bank does not take on more credit risk than planned
        • +
        +

        +
        • +Support TSYS Migration Project
          • Provide ongoing support to the TSYS Migration project team on risk functions, ensure all necessary data and functions are available post migration
        • +
        +
        • Redesign account management strategies where necessary to leverage the new functions available in TRIAD and TSYS
        • +
        +

        +

        Job Requirements:

        +

        +
        • Bachelor’s degree or higher in Business or quantitative field such as Finance, Economics, Sciences, Math, Engineering or Computer Science
        • 4-8 years of experience in an analytical role with 1-4 years of analytical experience in credit risk management, including statistical analysis and modeling, with successful track record of success in driving development and implementation of risk strategies or models in the financial sector
        • Proficient in use of SAS, SQL, Python, R or other programming languages
        • Experience in use of Tableau, Power BI, or other data visualization tools
        • Strong business acumen with advanced understanding of retail banking credit products
        • Strong communication and presentation skills complemented with solid problem-solving skills
        • Growth mindset with thoughful curiosity, proactiveness and passion for continuous learning
        • Solid interpersonal skills with ability to build judicious relationships and influence stakeholders
        • Proficiency in credit risk strategy building and implementation
        • Working knowledge of Angoss Knowledge Seeker, SAS Enterprise Miner/Viya or similar tools
        • Experience with TRIAD/TSYS or other account management systems would be an asset
        • +
        +

        +

        Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/Senior-Manager%2C-Account-Management-%28Retail-Credit-Risk-StrategyAnalytics%29/570569817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-03T15:57:04.998Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/241425101-senior-manager-account-management-retail-credit-risk-strategy-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Senior-Manager%2C-Account-Management-%28Retail-Credit-Risk-StrategyAnalytics%29/570569817/,draft,2023-06-30T15:52:02.431Z,import-xml-feed:Scotiabank,,,,,,, +e642c37e-a931-41b6-9987-c3714624f747,237206029,Magna International,"Manager, PMO",on_site,"Aurora, ONTARIO, CA, L4G 0G9",2023-06-17T16:04:02.716Z,"
        +
        +

        Role Summary

        +

        The Project Management Office function has the mandate to provide cross enterprise project / program visibility; deliver standard project management methodology and business analysis, tools and resources for consistent and quality project execution; deliver qualified PMBA resources for initiatives as required; provide education and development for PMBAs across Global IT, and link to related activities such as Organizational Change Management.

        +
        +
        +

        Key Responsibilities

        +
        +

        +

        Team Development & Management

        +
        • Recruit, supervise and lead the PMO NA team to ensure high service levels and customer satisfaction
        • Provides coaching and mentoring for NA team members to help them achieve individual effectiveness
        • Manages the P&L and Budget for the North American PMO team
        • Works closely with other members of Global IT and the BRM community to ensure the PMO is delivering on the needs of the organization
        • Executes an appropriate sourcing strategy combining internal as well as capacity on demand resources within region
        • +
        +

        +

        PMO Standards / Tools / Templates

        +
        • Supports the development and implementation of Magna Global IT Project Management & Business Analysis methodologies, tools and templates
        • Train and educate both PMO members as well as external PMBAs regarding these standards / tools / templates
        • Supports establishing governance mechanisms for successful project / program delivery
        • +
        +

        +

        Portfolio Management

        +
        • Work closely with the BRM organization (NEED) and the Enterprise Architecture organization (PLAN) to help mature Magna’s Portfolio Management activities
        • Supports the delivery of capabilities to identify, prioritize, manage, monitor, and assess the status of all relevant IT projects across the organization
        • Supports the implementation and continuous improvement of an appropriately sized Portfolio Management program, using this to deliver analysis and status reporting on the portfolio within region
        • +
        +
        +
        +
        +

        Key Qualifications/Requirements

        +
        • Strong Project Management / Business Analysis skills
        • Excellent communication skills, analytical skills, problem solving & interpersonal skills
        • Demonstrated hands-on, collaborative approach; works well in a team
        • Proven skills in sharing information and expertise with others; delivering solutions, influencing, and root cause problem solving
        • Experience influencing the business leaders, balancing drive for continuous improvement with respect for local company culture and processes
        • Strong English communication skills
        • +
        +
        +
        +

        Knowledge and Education

        +
        • Bachelor's degree in Business, Project Management, Computer Science, or related discipline is required
        • CAPM, PMP or equivalent certification
        • Prosci certification an asset
        • +
        +
        +
        +

        Work Experience

        +
        • Supervisory Experience an asset
        • Minimum 3 years’ progressive experience managing IT projects with cross-functional stakeholders from IT and business groups
        • Knowledge of the theories, principles and practices around project management
        • Knowledge of the theories, principles and practices of business analysis and requirements gathering
        • Negotiation skills and political acuity
        • Interpersonal and oral/written communication skills to make presentations to senior management and other senior stakeholders
        • Exposure to Enterprise Architecture projects an asset
        • Exposure to Organizational Change Management projects an asset
        • +
        +
        +
        +

        Additional Information

        +
        +

        For dedicated and motivated employees, we offer an interesting and diversified job within a dynamic team together with the individual and functional development in a professional environment of a global acting business. Fair treatment and a sense of responsibility towards employees are the principle of the Magna culture. We strive to offer an inspiring and motivating work environment.

        +


        Regular overnight travel 10-25% of the time.

        +

        +

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

        +
        +
        +
        +

        Awareness. Unity. Empowerment.

        +

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

        +
        +
        ",,https://jobs.magna.com/job/Aurora-Manager%2C-PMO-ONTA-L4G-0G9/569317217/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-17T16:04:02.716Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206029-manager-pmo-at-magna-international,https://jobs.magna.com/job/Aurora-Manager%2C-PMO-ONTA-L4G-0G9/569317217/,draft,2023-06-17T16:04:02.716Z,import-xml-feed:Scrapy-Scraper,,,,,,, +1d95174c-0347-4538-abb8-fe0c92a07794,242608269,Magna International,Assembly Tool Maker,on_site,"Milton, ONTARIO, CA, L9T 4Z7",2023-07-03T16:04:03.308Z,"
        +
        +

        Role Summary

        +
        +

        The Tool and Die Maker is primarily responsible to service, maintain, and test new or existing tooling. This position will support production through trouble shooting problems during production and complete quality improvements as required to maintain part standards.

        +
        • Verifies conformance of machined or repaired tooling to specifications by checking dimensions, clearances and alignments
        • Modifies dies to conform to engineering changes, tryouts of new dies, etc.
        • Coordinate activities of apprentices, helpers, and assigned contractors.
        • Respond to ANDON calls in a timely manner to address and diagnose issues. Coordinate containment of any suspect parts.
        • Perform all duties in an environmentally responsible manner in accordance with the Karmax Environmental Policy Statement—3 P’s. Prevent Pollution, Preserve Natural Resources & Protect our Environment
        • Perform other duties as required.
        • +
        +
        +
        +
        +

        Minimum Job Requirements

        +
        • Grade 12 Education or GED
        • Certificate of Qualification Tool & Die Maker 430
        • Excellent written and verbal communication skills.
        • Excellent mathematical, analytical, and organizational skills
        • Able to perform various computer functions (Microsoft Office, Production Software)
        • Able to safely operate all Materials Handling Equipment (Forklift, crane, buggy) in assigned area of responsibility.
        • Able to set up appropriate tools in the department with use of cranes, forklift, and assist in determining and setting up spare part requirements
        • +
        +
        +
        +

        We Offer

        +
        +

        Hourly Rate: $42.65

        +
        • Shift premium of $1.00 for the afternoon shift and $1.25 for the night shift
        • Overtime premiums of 1.5x & 2x your hourly rate
        • A focus on safety, health and wellness; including our “Good for You” cafeteria.
        • Competitive compensation and flexible benefits.
        • Group RRSP with employer match.
        • Employee Profit Sharing Plan.
        • Education reimbursement program
        • All tools provided
        • Staff appreciation events.
        • Company paid uniforms, allowances for customized safety glasses, earplugs and boots.
        • An environment that focuses on Karmax’ Core Values; Integrity, Respect, Trust, Honesty, Fairness and Loyalty.
        • +
        +
        +
        +
        +

        Additional Information

        +

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

        +
        +
        +

        Awareness. Unity. Empowerment.

        +

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

        +
        +
        ",,https://jobs.magna.com/job/Assembly-Tool-Maker/571716017/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-08-02T16:04:03.308Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/242608269-assembly-tool-maker-at-magna-international,https://jobs.magna.com/job/Assembly-Tool-Maker/571716017/,draft,2023-07-03T16:04:03.308Z,import-xml-feed:Scrapy-Scraper,,,,,,, +e6afc486-bb81-41dd-bb29-a5fc758b2a8d,243216376,Loblaw Companies Ltd,"Manager, Credit Card Acquisition",on_site,"Ontario, Canada",2023-07-05T01:44:01.600Z,"
        +

        Referred applicants should not apply directly to this role.

        +

        All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

        +

        +

        +

        Location:

        500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

        +

        When you hire great people, great things can happen.

        +

        PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

        +

        +

        Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

        +

        +

        Why This Role is Important:

        +

        Reporting to the Sr Manager, Growth, this role will be instrumental in developing channel based, acquisition strategies to support the growth of the President’s Choice Financial credit card and deposit products. The successful incumbent will build and maintain strong relationships with product, risk, and enterprise partners to unlock new opportunities for growth. The successful candidate will possess strategic and analytical acumen as well as strong communication skills to be able to work with internal and external stakeholders to design and build strategies.

        +

        +

        +

        What You\'ll Do:

        +
          +
        • Develop channel strategies for credit products, across digital and retail, paid and owned channels to deliver growth and customer mix while optimizing cost to acquire
        • +
        • Understand channel nuances, performance, and potential to develop appropriate customer targeting strategies which incorporates the relevant offer elements
        • +
        • Partner management including supporting end to end execution of acquisition strategies across different channels
        • +
        • Partner with relevant teams to build appropriate forecasting and reporting tools across acquisition channels
        • +
        • Develop a deep understanding of the business strategy and objectives of the credit card and deposit portfolios along with key P&L drivers
        • +
        • Develop appropriate customer targeting strategies which incorporates the relevant channel and offer elements
        • +
        • Develop and grow cross enterprise partnerships to increase the opportunities for acquisition
        • +
        • Improve the efficiency of acquisition by lowering the cost to acquire
        • +
        • Monitor performance indicators for customer acquisition and engagement. Leverage analytics to course correct and establish new proactive tactics in collaboration with key stakeholders
        • +
        • Continue to enhance the acquisition experience for customer
        • +
        +

        +

        +

        What You Bring:

        +
          +
        • Bachelor’s Degree in Business or Finance or equivalent work experience; MBA from a recognized institution a strong asset
        • +
        • 5+ years of professional experience, preferably within the payments, credit cards, or financial services business
        • +
        • Proactive, self starter who thrives in ambiguity and can navigate a matrixed organization
        • +
        • Strong leadership, interpersonal, and people management skills with the ability to manage relationships across all levels of the organization
        • +
        • Results oriented with a proven ability to be involved in multiple projects of varying size and complexity, while prioritizing and balancing multiple tasks within a fast-paced work environment
        • +
        • Strong verbal and written communication with creative ability to conceptualize and articulate new approaches and solutions
        • +
        +

        +

        +

        Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

        +

        +

        +

        Number of Openings:

        1

        +

        PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

        +

        +

        In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

        +

        +

        +

        Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

        +
        ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Manager--Credit-Card-Acquisition_R2000350830?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-07-14T01:49:02.269Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243216376-manager-credit-card-acquisition-at-loblaw-companies-ltd,,draft,2023-07-05T01:44:01.600Z,import-xml-feed:Loblaws-Job-Feed,,,,,,, +083a064e-98b3-4993-a9f0-03bbb796d408,236957197,BMO Financial Group,"Manager Analytics, Business Intelligence - Wealth",on_site,"Ontario, Canada",2023-06-17T01:42:02.900Z,"
        +

        Application Deadline:

        07/11/2023

        +

        +

        Address:

        100 King Street West

        +

        +

        Job Family Group:

        Data Analytics & Reporting

        +

        +

        +

        +

        We are looking for a talented individual to join our team in the position of Manager Analytics, Business Intelligence. The primary responsibility is to manage data analytics and deliver recommendations that drive data driven insights for the GAM (Global Asset Management) Business.

        +

        +

        The role will sit on the Wealth Data Analytics and Strategy team and support the Global Asset Management Retail Sales and Distribution team with proactive, actionable insights across all Mutual Fund products. The successful candidate will be able to go beyond analytics/reporting to provide actionable insights to senior leadership.

        +

        +

        Key Accountabilities:

        +
          +
        • Take the lead supporting GAM business. Think strategically and work independently with minimal supervision
        • +
        • Work with internal clients and diverse stakeholders to understand, track and improve their business objectives, scope and KPIs
        • +
        • Produce dashboards, reports, analysis, insights that drive decisions and help us build better products and experiences
        • +
        • Manage and enhance daily/weekly/monthly channel reporting to provide results and context to deliver actionable insights to senior management, not just reporting data
        • +
        • Improve and automate process using a variety of tools to drive operational efficiency
        • +
        • Manage, prioritize, and respond to ad-hoc requests
        • +
        • Uncover and identify opportunities to improve the customer experience by leveraging statistical approaches against multiple sources of data including internal sales/transactions and external party data/benchmarks
        • +
        • Assist the retail bank branch channel in campaign performance measurement and increasing productivity of all strategic initiatives
        • +
        • Research, design and implement reporting infrastructure that leads to automated and flexible reporting
        • +
        +

        +

        Qualifications:

        +
          +
        • 5-7 years of work experience in Business, Financial industry
        • +
        • 3+ Proven experience working with SQL language and large datasets
        • +
        • Demonstrated proficiency in working with large datasets, both structured and unstructured data, using programming language such as SAS, SQL or related
        • +
        • Good verbal and written communication skills; able to effectively present analytics data to business users
        • +
        • Good knowledge of Asset Management and understanding of current market trends. Experience in Mutual Funds, ETF and Institutional distribution process
        • +
        • Post-Secondary education in Math, Computer Science, Statistics, Actuarial Science, Business
        • +
        • One or More Master\'s Degree in Data Analytics, MBA, CFA, CPA preferred but not required
        • +
        • Self-Starter - Strong relationship-building skills. Ability to thrive on a high-degree of independence and ownership
        • +
        • Proficient in visualization tools such as Tableau or Power BI
        • +
        • Experience in running campaigns through design, execution, and performance tracking
        • +
        • A strong passion for data, charts, analysis, trends, and evangelizing data usage
        • +
        +

        +

        +

        +

        +

        We’re here to help

        +

        +

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

        +

        +

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

        +

        +

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

        +

        +

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

        +

        +

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

        +
        ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager-Analytics--Business-Intelligence---Wealth_R230007335?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-07-14T01:47:03.126Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/236957197-manager-analytics-business-intelligence-wealth-at-bmo-financial-group,,draft,2023-06-17T01:42:02.900Z,import-xml-feed:BMO-Job-Feed,,,,,,, +1c496683-a7f1-49d5-82aa-2b76790bf970,243216375,Loblaw Companies Ltd,"Manager, Credit Cards, Portfolio Management",on_site,"Ontario, Canada",2023-07-05T01:44:01.519Z,"
        +

        Referred applicants should not apply directly to this role.

        +

        All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

        +

        +

        +

        Location:

        500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

        +

        When you hire great people, great things can happen.

        +

        PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

        +

        +

        Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

        +

        +

        Why This Role is Important

        +

        +

        Reporting to the Sr Manager, PCMC Product Management, this role will be instrumental in developing and implementing key strategic initiatives focused on strengthening the PC MasterCard portfolio. The successful candidate will drive portfolio growth by taking leadership of high priority initiatives centered on new product development, client engagement strategies and P&L management. The successful candidate will possess strategic and analytical acumen as well as strong relationship building and communication skills to be able to work with internal and external stakeholders to craft and build strategies

        +

        +

        Are you a creative, strategic problem solver who likes to challenge the status quo and disrupt established markets? Do you have a passion for financial services, but would like to work in a fast-paced, nimble, collaborative environment? Are you a successful big picture thinker but also detail oriented and able to see the small specifics that others often miss? If yes, then a role within the Payments Product team at PC Financial may be right for you!

        +

        +

        What You’ll Do:

        +
          +
        • Take ownership and accountability for driving profitable growth through steadfast prioritization of initiatives and optimization of the Mastercard P&L
        • +
        • Lead existing customer relationships and work to find opportunities to drive increased value for our customer
        • +
        • Lead cross functional teams to plan, implement and supervise progress against annual business plans
        • +
        • Develop specific portfolio management and alternate revenue growth strategies to achieve ambitious performance targets
        • +
        • Business case development and channel management, including planning, forecasting, reporting, and operational oversight
        • +
        • Budget forecasting, planning and optimization
        • +
        • Support with the development and launch of new products
        • +
        • Develop and manage relationships with external client partners and key internal partners
        • +
        • Develop executive-ready presentations
        • +
        +

        +

        What You’ll Need:

        +
          +
        • University degree in Business, Commerce, Mathematics or Engineering
        • +
        • 3 - 5 years’ experience in a Product, Marketing, Business Development or Analytics function
        • +
        • Credit cards, payment, or recurring payments industry experience with experience leading P&L and financial savvy
        • +
        • Distinctive problem-solving skills and very strong analytical capabilities
        • +
        • Strong time management skills - You have excellent organizational to deal with multiple and sometimes conflicting demands and time constraints
        • +
        • Ability to work in an ambiguous environment and to help simplify and build structure where none exists
        • +
        • Strategy development or product development experience preferred
        • +
        • Consistent track record of implementing results
        • +
        • Ability to build and maintain strategic relationships
        • +
        +

        +

        Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

        +

        +

        +

        Number of Openings:

        1

        +

        PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

        +

        +

        In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

        +

        +

        +

        Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

        +
        ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Manager--Credit-Cards--Portfolio-Management_R2000350193-1?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-07-18T01:49:03.654Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243216375-manager-credit-cards-portfolio-management-at-loblaw-companies-ltd,,draft,2023-07-05T01:44:01.519Z,import-xml-feed:Loblaws-Job-Feed,,,,,,, +4fceaa5c-6db8-496c-81b3-b21b38d347b3,238638891,RBC,Director Data Strategy and Governance,on_site,"Toronto, ON, Canada",2023-06-23T01:51:02.122Z,"
        +

        Come Work with Us!

        At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

        Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

        +

        Job Title

        Director Data Strategy and Governance

        +

        +

        Job Description

        +

        What is the Opportunity?

        +

        RBC Capital Markets is undertaking a green field project to build a new capability to serve corporate clients.

        +

        +

        Your role will be to use your deep knowledge of data, combined with your understanding of client and business needs to create the business context to bring our data to life for the US Cash Management team and clients alike. You are a thoughtful, proactive, creative, analytical individual with a passion for solving problems for your colleagues and clients through the use of data.

        +

        +

        What will you do?

        +
          +
        • Develop and drive implementation of the overall Data Strategy for the Business
        • +
        • Collaborate with Technology on the build of the foundational data layer including data infrastructure and provide business requirements and direction
        • +
        • Work with Business and IT partners to define strategic and tactical data requirements of the organization to fulfill business needs.
        • +
        • +Drive the key initiatives of the Data team and make sure the initiatives are aligned and run smoothly
        • +
        • Be the Data SME and primary contact supporting the Business’ various projects, with a focus on data governance, quality, requirements and specifications.
        • +
        • Understand the data sources, flows, architecture, data repositories, data requirements for downstream users
        • +
        • Working with the Data Governance team, review and update Critical Data Element (CDEs), identifying data risks and corresponding data controls.
        • +
        • Review, understand and challenge the lineage of documented CDEs
        • +
        • Working with partners, to ensure the Business complies with data privacy policies and data protection regulations.
        • +
        • Supporting the data requirements for Client Statements
        • +
        • Keep up to date with Agile best practices
        • +
        • Foster a data-driven culture
        • +
        +

        +

        +

        What do you need to succeed?

        +

        Must-have

        +
          +
        • 10+ years experience supporting a data initiative
        • +
        • Bachelor degree in Computer Science, Engineering, Technology or related field
        • +
        • Database development, querying and analysis tools and languages such as SQL, Oracle, Python, Data Visualization, Tableau etc
        • +
        • Passion for data, and commitment to learn new data capabilities
        • +
        • Knowledge of data governance and data management concepts such as critical data elements, data lineage, data accuracy and completeness and data controls
        • +
        • Understanding of technical data concepts such as data ingestion, data warehouse, data lakes, master reference data, data models, systems of record, aggregation layer and reporting systems
        • +
        • Experience with using Jira and Confluence
        • +
        • Excellent business communication skills (written and oral).
        • +
        • Ability to work independently and possess strong analytical and data problem-solving skills
        • +
        • Strong collaboration and relationship management skills
        • +
        • Effective time management and organizational skills to meet tight timeframes, as well as flexibility to adapt to changing priorities while assessing impact to existing work
        • +
        +

        +

        What\'s in It for You?

        +

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

        +
          +
        • Positive work culture emphasizing diversity and inclusion, volunteerism and community involvement
        • +
        • A comprehensive Total Rewards Program including great benefits, annual incentive program and recognition
        • +
        • Leaders who support your development
        • +
        • A dynamic, collaborative, and high-performing team
        • +
        • Opportunities to do challenging work and grow your career
        • +
        +

        Work-life integration

        +

        +

        +

        Job Summary

        RBC Capital Markets is undertaking a green field project to build a new capability to serve corporate clients.

        Your role will be to use your deep knowledge of data, combined with your understanding of client and business needs to create the business context to bring our data to life for the US Cash Management team and clients alike. You are a thoughtful, proactive, creative, analytical individual with a passion for solving problems for your colleagues and clients through the use of data.

        Address:

        TORONTO, Ontario, Canada

        City:

        CAN-ON-TORONTO

        Country:

        Canada

        Work hours/week:

        37.5

        Employment Type:

        Full time

        Platform:

        Capital Markets

        Job Type:

        Regular

        Pay Type:

        Salaried

        Posted Date:

        2023-05-31

        Application Deadline:

        2023-06-06
        +

        Inclusion and Equal Opportunity Employment

        +

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

        +
        +

        Join our Talent Community

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

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

        +
        ",,https://jobs.rbc.com/ca/en/job/R-0000060683/Director-Data-Strategy-and-Governance,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-07-05T01:56:04.198Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/238638891-director-data-strategy-and-governance-at-rbc,,draft,2023-06-23T01:51:02.122Z,import-xml-feed:RBC-Job-Feed,,,,,,, +8159d535-3a96-4dee-bfdf-d3d0c5a9b31f,243216686,RBC,"Manager, Program Governance",on_site,"Toronto, ON, Canada",2023-07-05T01:51:03.465Z,"
        +

        Come Work with Us!

        At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

        Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

        +

        Job Title

        Manager, Program Governance

        +

        +

        Job Description

        +

        What is the opportunity?

        +

        +

        As a Manager, Program Governance, you will support the delivery of analytical insights for Global Finance IT and build interactive and intuitive dashboards to model data. This role will also be responsible for the oversight of project management tools to ensure appropriate IT cost recovery to various lines of businesses. You will report on various key performance indicators to Senior Management related to financial health and resource capacity trends. In addition, you will work intimately with project managers to leverage best practices on project expenditure management.

        +

        +

        What will you do?

        +
          +
        • Provide administration for Finance IT’s project management tools (Planview/MIS) for Finance IT’s development and maintenance portfolio of $100mm+, including the creation/upkeep/closure of projects, population of key data attributes, and ensuring proper cost recovery of all IT personnel
        • +
        • Support project managers and delivery leads in administering project management tools and managing all aspects of financials (monitoring of actuals vs plan, forecasting, processing of invoices)
        • +
        • Reconcile contractor cost recoveries in Planview/MIS to professional fee accrual during month-end at the contract and resource level
        • +
        • Support executive and portfolio level financial/KPI reporting
        • +
        • Automate existing reporting and enhance data visualization/analytics through various productivity tools (Tableau, VBA, etc); develop new automated solutions to improve productivity and efficiency
        • +
        • Maintain a healthy, accurate financial control environment within the Finance IT Business Management Office, reinforcing our role as the source of financial truth (App Dev, Maintenance, 3rd Party, NIE, etc)
        • +
        • Monitoring and communicating key performance metrics and operational challenges
        • +
        • Implement change management as required for new implementations and enhancements for project management tools
        • +
        +

        +

        What do you need to succeed?

        +

        Must-have:

        +
          +
        • Bachelor’s degree, with a focus in finance, accounting, computer science, business or mathematics.
        • +
        • Experience in a financial control environment
        • +
        • Data analytics and reporting experience on large data sets and multiple sources
        • +
        • Advanced command of Microsoft Excel, Word, Powerpoint, and data visualization tools
        • +
        • Basic financial services and accounting knowledge
        • +
        +

        +

        Nice-to-have

        +

        Notes:

        +
          +
        • Previous experience with Tableau, SQL, Planview
        • +
        • Experience in an IT delivery team with a focus on project management, and the systems development lifecycle
        • +
        • CPA, PMP, MBA designation(s)
        • +
        +

        +

        +

        What’s in it for you?

        +

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

        +

        +
          +
        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
        • +
        • Leaders who support your development through coaching and managing opportunities
        • +
        • Ability to make a difference and lasting impact
        • +
        • Work in a dynamic, collaborative, progressive, and high-performing team
        • +
        • A world-class training program in financial services
        • +
        • Flexible work/life balance options
        • +
        • Opportunities to do challenging work
        • +
        • Opportunities to take on progressively greater accountabilities
        • +
        • Opportunities to building close relationships with clients
        • +
        • Access to a variety of job opportunities across business and geographies
        • +
        • #LI-HYBRID
        • +
        • #LI-POST
        • +
        +

        +

        +

        +

        +

        Job Summary

        +

        Address:

        TORONTO, Ontario, Canada

        City:

        CAN-ON-TORONTO

        Country:

        Canada

        Work hours/week:

        37.5

        Employment Type:

        Full time

        Platform:

        Technology and Operations

        Job Type:

        Regular

        Pay Type:

        Salaried

        Posted Date:

        2023-04-17

        Application Deadline:

        2023-08-08
        +

        Inclusion and Equal Opportunity Employment

        +

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

        +
        +

        Join our Talent Community

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

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

        +
        ",,https://jobs.rbc.com/ca/en/job/R-0000056547/Manager-Program-Governance,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-07-14T01:56:02.586Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243216686-manager-program-governance-at-rbc,,draft,2023-07-05T01:51:03.465Z,import-xml-feed:RBC-Job-Feed,,,,,,, +91ff8a9d-803b-4f2f-8715-9f4ae9a25976,237677738,Sun Life Financial,Senior Data Scientist (Remote),on_site,"Ontario, Canada",2023-06-20T02:15:02.503Z,"
        +

        You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

        +

        +

        +

        Job Description:

        +
        • +

          Within Sun Life, the Analytics & Insights teams are comprised of savvy and intellectually curious professionals who are on a mission to transform how we apply data and analytics to support Sun Life becoming client-centric. An integral part of the Analytics & Insights organization, the Data Science team supports Canadian business units in their journey to leverage data and analytics as a foundational pillar in delivering business value

          +
          +

          +

          Reporting to the AVP, Data Science CoE, as a Senior Data Scientist you will focus on supporting Canadian business units in accelerating the growth and application of analytics in driving value. The senior data scientist will leverage practical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases.

          +

          +

          Sun Life views success in this role in demonstration of these key attributes:

          +

          Fierce curiosity. You are drawn to discovering and leveraging new data and taking on challenging business puzzles. An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing. A passion for solving problems. The most successful data scientists’ solution for what the right data to use, they solve using the most suitable (not most advanced) algorithms for the problem at hand and figure out how to execute and deliver with highest efficiency. Technical skills in both data and computer science. There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured data (SQL) Thirst for learning. You are a data scientist who is constantly updating their knowledge of data science state-of-the-art.

          +

          +

          What will you do?

          +
            +
          • Be able to engage with business stakeholders to understand business outcomes. Comfortable to translate business goals into analytical problems.

          • +
          • Be able to work in cross functional teams to develop an ML/data science product

          • +
          • Be able to break down broader data science development milestones into smaller goals, activities, and a work plan

          • +
          • Apply best in breed data science including descriptive, predictive and machine learning techniques from the design to implementation that impacts the business.

          • +
          • Focus on Feature Engineering, Model Training and Model Evaluation in addition to data munging / wrangling

          • +
          • Identify the right algorithms and statistical techniques for a specific project as well as the best features for a model. Advise junior members on the same.

          • +
          • Make business recommendations with effective presentations of findings at multiple levels of stakeholders

          • +
          • An active contributing member to the analytics community to help foster and grow the data science community at Sun Life

          • +
          • Champion and support diversity and inclusion

          • +
          +

          +

          What will you need to succeed?

          +
            +
          • BSc/M.S. in a statistical, mathematical, or technical field (i.e., computer science) or equivalent experience

          • +
          • 3+ years experience in developing and implementing data science techniques (predictive, prescriptive, ML etc.)

          • +
          • Comfortable writing complex SQL queries to extract and integrate data from multiple database sources

          • +
          • Proficient in using one or more statistical programming languages (i.e., Python) for data science

          • +
          • Experience with AWS services including SageMaker

          • +
          • Experience with machine learning including supervised and unsupervised models

          • +
          • Demonstrated experience in data transformation & data manipulation

          • +
          • Experience working with Structured vs. Unstructured data

          • +
          • Experience with Big Data Technologies: Hadoop, HDFS, Hive, HBase, Spark is strongly desirable

          • +
          • Effective and concise oral and written storytelling and insights communication skills

          • +
          • Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities

          • +
          • Ability to document work and effectively prioritize documentation

          • +
          • Ability to work with junior data scientists, data engineers, ML engineers and guide their work if needed

          • +
          +

          +

          What will be nice to have?

          +
            +
          • Past experience in life insurance/wealth management, or other financial services industry (e.g., retail banking, credit card, property and casualty insurance)

          • +
          • Past experience working in Agile delivery model

          • +
          • Past experience in developing and deploying production grade model in cloud infrastructure

          • +
          +

          +

          Unique Requirements

          +

          +

          The candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the information on Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

          +

          +

          What\'s in it for you?

          +
            +
          • Remote/ Hybrid Work environment

          • +
          • Competitive salary and bonus structure influenced by market range data

          • +
          • 20 days vacation per year and an innovative sabbatical program

          • +
          • A friendly, collaborative and inclusive culture

          • +
          • Being part of our Analytics community, where we share best practices and broaden skill-sets

          • +
          • Flexible Benefits from the day you join to meet the needs of you and your family

          • +
          • Pension, stock and savings programs to help build and enhance your future financial security

          • +
          • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

          • +
          +
          +
        +

        +

        The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

        +

        +

        Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

        +

        +

        Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

        +

        +

        At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

        +

        +

        We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

        +

        +

        Salary Range:

        80,000/80 000 - 130,400/130 400

        +

        Job Category:

        Advanced Analytics

        +

        Posting End Date:

        09/07/2023
        ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Scientist_JR00077232-3?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-07-11T02:20:02.305Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/237677738-senior-data-scientist-remote-at-sun-life-financial,,draft,2023-06-20T02:15:02.503Z,import-xml-feed:Sunlife-Job-Feed,,,,,,, +ed7857b7-c29c-47b7-a449-f65104ad771e,243217432,CN,"Analyst, Vendor Services",on_site,"Ontario, Canada",2023-07-05T02:18:02.777Z,"
        +

        +

        At CN, everyday brings new and exciting challenges. You can expect an interesting environment where you’re part of making sure our business is running optimally and safely―helping keep the economy on track. We provide the kind of paid training and opportunities that long-term careers are built on and we recognize hard workers who strive to make a difference. You will be able to thrive in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

        Job Summary

        The Analyst, Vendor Services is responsible for the timely processing of all driver exceptions and disputes to enable the bi-monthly payroll close. The role ensures CN meets their obligations under the collectively bargained agreement with the union representing Canadian National Trucking Limited’s (CNTLs) Owner Operator Fleet. Moreover, the role is responsible for acting as a support function to the driver management team and other stakeholders. The position oversees inquiries pertaining to tolls, scales, reimbursements, donations, fuel deductions, CNTL tire and paint programs or any other driver-related issues.

        Main Responsibilities

        Vendor Settlement Activities

        · Ensure the correction of exceptions related to missing zones or miles, adding and correcting shift starts and ends, fixing missing moves, checking, fixing, or authorizing unrealistic travel times, or truck moves with excessive wait times thus ensuring that the data in CN systems are correct for reporting purposes

        · Process and pay any adjustments pertaining to driver disputes

        Re-Payment Programs

        · Oversee the execution of CNTL’s repayment programs (e.g., tires, engine heater, moose bumper), and the tractor paint program

        Support Internal and External Stakeholders

        · Monitor mailbox and respond to inquiries related to Vendor Services for given Intermodal Terminal Fleets in a timely manner

        · Continual review of Vendor Settlement processes to identify efficiencies and potential cost reduction

        Working Conditions

        The role has standard working conditions in an office environment with a regular workweek from Monday to Friday. The role is eligible to participate in CN’s flexible work policy. Due to the nature of the role, the incumbent must be able to meet tight deadlines.

        Requirements

        Experience

        Trucking, Logistics or Accounts Payable

        · Between 2 to 4 years of experience working in trucking, logistics or accounts payable

        o Experience in Supply Chain, Operations or Transportation

        o Experience working in a unionized environment*

        *Any experience for these above would be considered as an asset

        Education/Certification/Designation

        · Diploma in Finance or Human Resources

        Competencies

        · Collaborates with others and shares information

        · Communicates with impact

        · Demonstrates agility and drives change

        · Seeks and values all perspectives

        · Applies critical thinking

        · Solves problems to create value

        Technical Skills/Knowledge

        · Knowledge of Microsoft Office and willingness work with new and proprietary CN applications

        · General understanding of Key Performance Indicators (KPIs) and how to leverage Self Serve Analytics to drive business decisions

        About CN

        CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

        +

        +

        +

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

        +

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

        +


        +
        ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/11090?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-07-18T02:23:02.961Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/243217432-analyst-vendor-services-at-cn,,draft,2023-07-05T02:18:02.777Z,import-xml-feed:Selenium-Scraper,,,,,,, +bde98092-a031-4199-a850-976c4ff8d078,243217436,OMERS,"Analyst/Senior Analyst, Financial Reporting",on_site,"Ontario, Canada",2023-07-05T02:18:03.101Z,"
        +

        Why join us?

        +

        +

        Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

        At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

        +

        +

        +

        +

        +

        +

        Position Scope:

        +

        +

        We are looking for an energetic Analyst/Senior Analyst, Financial Reporting who will report directly to the Senior Manager, Financial Reporting in our Singapore office. In this role you will be responsible for contributing to the preparation of the Singapore corporate and investment companies’ financial statements. This role will assist with the monthly close activities, including preparing journal entries, account reconciliations, intercompany invoicing, and support the enhancement of process documentation and improvements. The individual will build close working relationships with the Corporate Finance team in Toronto, and finance teams across the enterprise including the Capital Markets Finance team where periodic support will be required. In this role you will demonstrate experience with financial close processes, internal controls over financial reporting, a strong attention to detail and an eagerness to be part of a winning culture. You will have opportunities to engage with external auditors, work alongside individuals across all levels of the organization, and develop new skillsets for growing your career.

        +

        +

        The person who fills this role will be a key member of the OMERS Corporate Finance team. Our ambitions are high: we aim to be the best corporate finance team in the Canadian pension industry.

        +

        +

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

        +
          +
        • Preparing and performing reviews of monthly journal entries and reconciliations

        • +
        • Submitting intercompany invoices and supporting finance teams to substantiate invoice details

        • +
        • Preparing detailed monthly variance analysis

        • +
        • Identifying and supporting process improvements with relevant documentation

        • +
        • Assisting in accounting standards research and documentation

        • +
        • Coordinating with external auditors for fieldwork

        • +
        • Collaborating with a team of professional accountants, strengthening culture and community, and driving excellence and expertise

        • +
        • Owning the cost allocation process for Singapore Headquarter expenses

        • +
        • Supporting the finance capabilities of the Singapore office

        • +
        • Providing support to the Capital Markets Finance team in coverage situations, particularly as it relates to public markets trade processes (matching, confirmations and settlements) and resolving discrepancies with traders and brokers.

        • +
        • Other contributions, as the team may need and as opportunities arise

        • +
        +

        +

        To succeed in this role, you have/are:

        +
          +
        • At least 4 years of professional experience, ideally with experience in the investment management or financial services industry in a top tier accounting or investment firm

        • +
        • Bachelors degree in business, accounting or finance with a recognized professional accounting accreditation (CA or equivalent)

        • +
        • A team player with the ability to operate in a fast-paced environment with numerous priorities and reporting deadlines

        • +
        • A self-starter with proven problem-solving abilities and able to work well under pressure and in an environment of changing requirements

        • +
        • Excellent verbal and written communication skills with the ability to communicate effectively across all levels within, as well as outside the organization

        • +
        • A track record in process improvement and establishing efficient processes

        • +
        • A strong understanding of IFRS and preparing financial statements

        • +
        • A commitment to accuracy and timeliness

        • +
        • Comfortable with working with teams located across different time zones

        • +
        • A good understanding of finance systems, where experience with Oracle would be an asset

        • +
        • Exposure to Investment Operations and trade processing would also be an asset.

        • +
        +

        +

        And you demonstrate:

        +
          +
        • A people-first focus with a desire to develop meaningful, positive relationships across all levels

        • +
        • An enthusiastic teammate looking to drive team success

        • +
        • A sense of urgency, optimism, and a desire to deliver excellence

        • +
        • A desire to drive debate, to speak candidly and to listen thoughtfully

        • +
        • A continuous improvement mindset

        • +
        +

        +

        +

        +

        +

        Our story:

        +

        Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

        +

        +

        OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

        +
        ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Singapore/Analyst-Senior-Analyst--Financial-Reporting_JR-5094?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-08-04T02:18:03.101Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/243217436-analyst-senior-analyst-financial-reporting-at-omers,,draft,2023-07-05T02:18:03.101Z,import-xml-feed:Selenium-Scraper,,,,,,, +0e6ee83a-034a-4428-af6f-cd2c74402b25,243217437,OMERS,Space/Workplace Management Senior Analyst,on_site,"Ontario, Canada",2023-07-05T02:18:03.174Z,"
        +

        +

        +

        As a key member of the Global Corporate Real Estate and Workplace Management team, the role of Senior Space Management Analyst is to deliver clear and relevant reporting utilizing data & analytics to drive our space strategies and to enhance workplace operations.

        +


        The role will reside within the Space Strategy workstream and participate with the broader Global Corporate Real Estate team to assess and identify analytics needed to produce meaningful insights. The individual will coordinate directly with our Technology Software providers for technical support, business users for requirements gathering and the IT business intelligence team for dashboarding and visualization.

        +

        +

        Qualifications

        +
          +
        • Systems Implementation and Maintenance: 4 years (Required)
        • +
        • Experience with IWMS (Archibus) or CAFM platforms: 3 years (Required)
        • +
        • Proficient in AutoCAD: 3 years (Required)
        • +
        • Bachelor\'s Degree in Architecture, Interior Design or related (Preferred)
        • +
        • Business Analyst: 3 years (Preferred)
        • +
        • Understanding of workplace space planning and corporate real estate analysis an asset
        • +
        +

        +

        Data Analyst – Responsibilities

        +
          +
        • +Manage the Integrated Workplace Management System (IWMS) and ensure system information is accurate, updated and in alignment with other databases i.e., Workday, Service Now
        • +
        • Support the Space Strategy Manager and MAC Specialist in day-to-day occupancy planning and ad-hoc projects
        • +
        • Support the Space/Utilization Management tools (Archibus and Metrikus) and provide statistical analysis and reporting to team and executive leadership
        • +
        • Maintain and integrate data from our Space Utilization and Space Management platforms.
        • +
        • Monitor IWMS platform (Archibus) for outages, analyze and respond to application problems.
        • +
        • +Interpret data sets or trends, workflows, user, or stakeholders’ inputs, and analyze results to uncover valuable insights, draw conclusions, and visual graphs that assist the team in strategic space planning.
        • +
        • +Process the monthly rental chargeback allocations for Head Office locations reviewed and approved by the various business units. Provide rental packages for the budgeting process to Finance and respond to any as part of this process.
        • +
        • Lead and coordinate UAT and Production testing for new module implementations and use cases.
        • +
        • Coordinate directly with software manufacturer for technical support and to understand new feature roadmap.
        • +
        • +Provide support and training to internal users on new modules when introduced to validate function and requirements.
        • +
        • Develop Test Cases and Testing Criteria to validate report requirements and look for opportunities to improve overall processes and reporting methods.
        • +
        • Support the Space Strategy team by updating AutoCAD drawings to align with Archibus and Service Now information.
        • +
        • Responsible for the generation of accurate and informative reports showcasing occupancy and space utilization metrics using multiple data sources, i.e., sensor technology (Metrikus) and Digital Access (HID), to support Space Management team.
        • +
        • Produce and maintain Global Real Estate analytics to support dashboard reporting on Lease Administration, Occupancy and Vacancy, Capital Projects Planning and Expenditures for the Real Estate and Operational Committees.
        • +
        • +Coordinate meetings with stakeholders to gather requirements and collaborate with Business Intelligence team on dashboard solutions.
        • +
        • Facilitate discussions with Space Management team and stakeholders to identify opportunities where analytics can be effective and align the opportunities with other ongoing initiatives.
        • +
        • In collaboration with BI Specialists, prepare compelling communications, PowerPoint presentations and Power BI dashboards to report key performance results to multiple levels of the organization including senior leadership.
        • +
        • Add value by driving in-depth insights and analysis through well-defined reporting to Space Strategy team, stakeholders and Senior Management.
        • +
        • Learning and enhancing interactive insightful data products using Power BI and collaborate with analytics team to communicate business requirements.
        • +
        +

        +

        As part of this role, you’ll get to:

        +
          +
        • Collaborate with Space Strategy, IT, Power BI and service partners to gather business requirements to develop our business strategy.
        • +
        • Organize the data that will create the story to influence our organization’s corporate real estate strategy and operations.
        • +
        +

        Requirements – Skills, Knowledge, and Abilities

        +
          +
        • Effective analytical skills with the ability to collect, organize, analyze, and distribute substantial amount of information with attention to details and accuracy
        • +
        • Practical expertise in data modeling and database design development +
        • +
        • Technical skills required to integrate different databases to support IWMS outcomes, including Service Now, HR, Metrikus, and financial data
        • +
        • Excellent communication & presentation skills, including PowerPoint to deliver presentations and reports to senior leadership and stakeholders
        • +
        • Ability to set up, organize, facilitate and document internal and external meetings
        • +
        • Ability to bridge communications between Facilities, Space Strategy, IT audiences
        • +
        • Able to write Requirements, Functional System Design documents and Test Cases +
        • +
        • Excellent organizational and time management skills
        • +
        • Excellent English writing skills
        • +
        • Knowledge of the BA methodology
        • +
        • Professional and confident, strong sense of ownership and growth mindset
        • +
        • Ability to benchmark and analyze business processes throughput
        • +
        • Ability to establish and govern business process toward excellent performance
        • +
        • Excellent knowledge of MS Office products (Excel, Power Point, Visio, Word)
        • +
        • Proficient in basic functions of AutoCAD
        • +
        +
          +
        • Knowledge of relational databases
        • +
        • Knowledge of Microsoft SQL
        • +
        +

        +

        +

        +

        +

        Our story:

        +

        Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

        +

        +

        OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

        +
        ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Senior-Analyst--Space-Management_JR-5008?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-08-04T02:18:03.174Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217437-space-workplace-management-senior-analyst-at-omers,,draft,2023-07-05T02:18:03.174Z,import-xml-feed:Selenium-Scraper,,,,,,, +720fa52c-95b2-49e6-b1da-8ab54a210c94,243217439,OMERS,"Data Engineer, Finance Data (6 Months Contract)",on_site,"Ontario, Canada",2023-07-05T02:18:03.277Z,"
        +

        +

        +

        We’d be thrilled to have you join our team as we set up our Capital Markets Finance Data team for new and continued success! We’ll focus equally on expertise and excellence, paired with culture and community. We will serve OMERS teams primarily in Capital Markets, Total Portfolio Management, and the Corporate function through understanding their needs, delivering against their expectations, and contributing our proficiencies – to achieve collective wins. This role joins a team on a journey, with much future potential in a global, sophisticated, complex enterprise.

        +

        +

        Responsibilities:

        +
          +
        • Design, develop, and help maintain data assets to extract, transform, and load data from various data files, APIs, and databases, and to make them accessible to various client-facing applications as well as investment data warehouse and internal tools
        • +
        • Implement data strategies that prepare, transform, combine and manage structured and unstructured data (e.g. internal investment accounting systems as well as external third-party investment feeds) to integrate the data into an investment data warehouse and BI solutions
        • +
        • Develop and operate highly scalable data pipelines and infrastructure that enable investment analytics, and investment reporting use cases
        • +
        • Automate manual processes and optimize data delivery
        • +
        • Utilize modern technologies for designing and building data solutions to meet business needs
        • +
        • Partner with business analysts and reporting analysts to develop reports and PowerBI dashboards
        • +
        • Support and troubleshoot existing investment data applications and BI reporting solutions as needed
        • +
        • Work as part of a cross-functional agile team responsible for end-to-end delivery of business needs
        • +
        • Collaborate and work effectively with business analysts and reporting analysts team members, and other investment professionals and leaders in solutioning and support
        • +
        +

        +

        Qualifications:

        +
          +
        • Track of record working in a fast-paced environment and multi-faceted role that intersects with business and technical analysts to support existing solutions, solution delivery, and contributions as a project resource for investment system implementations and upgrades
        • +
        • Strong experience with data management, investment systems, business intelligence, and other reporting technologies
        • +
        • +Experience with Microsoft based BI/ETL tools (e.g. SQL Server, SSRS, SSIS, data factoryor similar
        • +
        • Experience with Cloud based data and analytics platforms (e.g. Snowflake, DataBricks, Azure Synapse)
        • +
        • Deep proficiency in SQL, Python, and similar languages
        • +
        • Good understanding of investment products
        • +
        • Demonstrated ability to handle multiple projects and tasks at the same time to support daily production issues
        • +
        • Critical thinking skills with the ability to independently solve problems with data and/or reference documents
        • +
        • Investment data modeling experience using the Kimball method is an asset
        • +
        • Experience with BNY Eagle PACE, Calypso, and Charles River is an asset
        • +
        • Data governance experience is an asset
        • +
        • Bachelor’s or master’s degree in Computer Science, Engineering, Finance, or a related field
        • +
        +

        +

        And you demonstrate:

        +
          +
        • A people-first focus with a desire to develop meaningful, positive relationships across all levels of the organization
        • +
        • A teammate mentality coupled with servant leadership
        • +
        • A sense of urgency, optimism, and a desire to deliver excellence
        • +
        • A desire to drive debate, to speak candidly, and to listen empathetically
        • +
        • Strong orientation towards strategy, change, and results
        • +
        • A continuous improvement mindset
        • +
        +

        +

        #LI-Hybrid

        +

        +

        +

        +

        +

        Our story:

        +

        Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

        +

        +

        OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

        +
        ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Data-Engineer--Finance-Data--6-Months-Contract-_JR-5118?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-07-14T02:23:03.254Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/243217439-data-engineer-finance-data-6-months-contract-at-omers,,draft,2023-07-05T02:18:03.277Z,import-xml-feed:Selenium-Scraper,,,,,,, +e957f23d-0102-4c14-aedd-a4056668aeb4,243217444,OMERS,Lead Enterprise Architect Analyst,on_site,"Ontario, Canada",2023-07-05T02:18:03.789Z,"
        +

        +

        +

        Role Description

        +

        As a Lead Enterprise Architecture Analyst, you will collaboratively engage, model, and drive the organization to adopt leading practices, ensure strategic alignment between Business and IT, foster innovation and support business and IT strategies.

        +

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

        +
          +
        • Work closely with Business Stakeholders, Business Relationship Managers and Business Architects to align business strategy and roadmaps with the D&T Strategy and deliver business architecture artifacts needed for the creation of Business Blueprints and Architectural Visions.
        • +
        • Apply a structured business architecture approach and methodology for capturing the key views of the enterprise, such as relationships between roles, capabilities, technology, and business units within the Enterprise Architecture repository.
        • +
        • Create and maintain business capability, process, and technology inventories by engaging with stakeholders to document the structure of OMERS business and technology landscape.
        • +
        • Manage architecture governance processes, working with delivery and enablement teams to bring new technology or enhancements through Architecture Review and facilitating sessions between delivery and technology teams to reach alignment.
        • +
        • Contribute to the optimization of Architecture practices through a focus on continuous improvement and value delivery.
        • +
        • Define the set of strategic, core and supporting value streams that cut across functional and organizational boundaries; identify and describe external entities such as customers, suppliers, and external systems that interact with the business; and describe which people, resources and controls are involved in the processes.
        • +
        • Analyze requests from business stakeholders to identify opportunities to reuse existing assets across the enterprise.
        • +
        • Provide innovative approaches to solving business challenges that contribute to the achievement of the organization’s targets
        • +
        • Influence, negotiate and secure buy-in and understanding within the organization
        • +
        • Effectively communicate complex concepts to various audiences
        • +
        +

        +

        To succeed in this role, you have:

        +
          +
        • Bachelor\'s degree in business, information systems or related discipline, or equivalent and extensive related project experience
        • +
        • Understanding and experience with business architecture and agile architecture
        • +
        • Three to Five+ years of business or IT experience with a direct responsibility for strategy and/or translation, business analytics, and program management
        • +
        • Experience in one or more of the following areas: business architecture, strategic planning, business analysis, business relationship management or business process design
        • +
        • Experience facilitating sessions, helping participants reach decisions and accomplish goals to foster cross-team alignment
        • +
        • Ability to balance good enough architecture with actionable steps and targets
        • +
        • Ability to use verbal communication to disseminate complex concepts
        • +
        • Ability to write clear and succinct documents and to create engaging diagrams
        • +
        +

        +

        +

        +

        +

        Our story:

        +

        Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

        +

        +

        OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

        +
        ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Lead-Enterprise-Architect-Analyst_JR-4972?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-07-18T02:23:02.961Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217444-lead-enterprise-architect-analyst-at-omers,,draft,2023-07-05T02:18:03.789Z,import-xml-feed:Selenium-Scraper,,,,,,, +62406228-885b-4f70-a55e-e43192a17d54,243217467,Clearpath,Autonomy Engineer - Multi-agent Navigation,on_site,"Ontario, Canada",2023-07-05T02:18:06.372Z,"

        Description

        +

        Position: Autonomy Engineer- Multi-agent-Navigation
        Location: Kitchener, Ontario or Remote/Virtual, Canada
        Job Type: Full-Time, Permanent

        Experience: 2-5 years of relevant work experience
        Education: Graduate Degree in a related field
        Division: OTTO Motors

        +

        About OTTO Motors, a division of Clearpath Robotics

        +

        At OTTO Motors, we believe material handling is one of the most dangerous and unproductive parts of modern industrial operations. Our mission is to create safer, more productive and fulfilling workplaces with autonomous material handling technology. Most recently, OTTO Motors was recognized among the top 1% of Canada’s highest-performing global private companies by Communitech. Our loyal customers are also the most recognizable brands in the world and trust OTTO Motors to fulfill their mission-critical material handling needs: General Electric, Toyota, Hershey, Caterpillar, Berry Global, and more. For more information about us, visit www.ottomotors.com.

        +

        About the Job

        +

        Clearpath\'s OTTO Motors robots lead the industry in self-driving materials handling, and you can help us push robotics to the next level of intelligence and performance. This means continually learning, inventing, and implementing new algorithms for navigation, collaboration, and control - all with an emphasis on robust and reliable best practice programming. We\'re looking for people excited to develop the core software for fleets of multi-ton robots, find optimal routes through the most complex work environments around the world, and safely balance millimeter tracking accuracy with maximum driving performance.

        +

        The navigation team’s primary responsibility is robotics software development, testing, and support. You will be responsible for identifying opportunities to improve our self-driving capabilities, selecting the best research and/or industry algorithms to employ, and developing high-performance implementations that expand our core autonomy software. As part of the team, your input will be integral for reviewing and supporting the designs, implementations, and tests developed by other autonomy engineers. Finally, as part of OTTO, we work closely with both industry and academia, where you’ll have the opportunity to collaborate with our partners and see your ideas making a measurable difference in the world.

        +

        Your primary responsibilities will be:

        +
          +
        • Developing collaboration, navigation, and control software
        • +
        • Testing/reviewing software for reliability/performance
        • +
        • Conducting research projects to expand our capabilities
        • +
        • Supporting deployment, product, and testing teams
        • +
        +

        Additional tasks may include:

        +
          +
        • Collaborating with academic/industry partners
        • +
        • Mentoring and assisting with supervision of interns
        • +
        • Writing research papers for academic publication
        • +
        • Explaining our newest shiny toys to sales & marketing
        • +
        +

        About You

        +

        You want to work for a company that thinks big and dreams huge. You are driven, here to make a difference, and never satisfied with work left half-done. You want to be surrounded by people like you; creative, fun-loving, and passionate about their work. You are motivated by making an impact on your workplace and thrive on challenging, rewarding problems.

        +

        Required Technical Skills:

        +
          +
        • Graduate degree in engineering or a related field, with applicable background
        • +
        • Practical knowledge in two or more areas of: path planning, motion planning, mobile robot control, vehicle modelling, and multi-agent systems
        • +
        • Strong software development skills in Modern C++
        • +
        • Proficiency with Linux
        • +
        • Hands-on experience with autonomous systems
        • +
        +

        Desired Soft Skills:

        +
          +
        • Ability to efficiently and clearly communicate ideas, including to those who may have a limited theoretical background in the area
        • +
        • Ability to reliably plan and estimate development time requirements
        • +
        • A learning mindset and positive attitude
        • +
        • Comfortable with abrupt changes to project deadlines, job responsibilities, and the local gravity field
        • +
        +

        Bonus points for:

        +
          +
        • ROS experience
        • +
        • Strong Python / Lua skills
        • +
        • Experience with the control of differential drive, bicycle, and tricycle ground vehicles
        • +
        • Understanding of sensors and their error models, particularly laser rangefinders, GPS systems, and vision systems
        • +
        +


        At Clearpath, we are committed to building and supporting a culture of diversity, inclusion, and accessibility. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, veteran status, sex, sexual orientation, gender identity, and expression. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

        ",,http://jobs.jobvite.com/clearpath/job/oHDRmfwh,feed-importer@jobboard.io,,,,2023-08-04T02:18:06.372Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217467-autonomy-engineer-multi-agent-navigation-at-clearpath,,draft,2023-07-05T02:18:06.372Z,import-xml-feed:Selenium-Scraper,,,,,,, +5beb2ee9-db3a-4ae4-8922-b28ed0de28f4,243217456,Avidbots,"Director, Channel Sales & Alliances",on_site,"Ontario, Canada",2023-07-05T02:18:05.240Z,"
        +

        About Avidbots:

        +


        +

        At Avidbots, we believe in solving real world problems with autonomous robotics solutions. Our current product, Neo, is a fully autonomous floor scrubbing robot deployed and trusted by the world’s leading facilities and building services companies- and we aren’t stopping there! We are dedicated to continuously innovate, both on our current product and developing new solutions. Headquartered in Kitchener, ON, Canada and Chicago USA, Avidbots is a rapidly growing technology company, recognized as a Great Place to Work and one of Deloitte\'s Fast 500. Take a look at what Neo can do!

        +


        +

        About this role:

        +


        +

        As the Director of Channel Sales & Alliances, your primary responsibility will be to manage partner relationships, oversee partner activities, and drive the pipeline generated through these partnerships. Leveraging existing agreements and forging new ones, you will build long-term business opportunities with our partners. By executing on our joint business strategies, you will contribute to our overall success. This role can be filled in Canada or the United States.

        +


        +

        What we\'re looking for:

        +


        +

        We are seeking a highly motivated and results-driven individual who is customer-focused, technologically adept, and possesses a strong understanding of sales and channel dynamics. Your exceptional communication and collaboration skills will allow you to work effectively with senior internal and external stakeholders, influencing key relationships. As a high-energy, self-starting professional with integrity, you thrive in a fast-paced startup environment. Your strong analytical thinking and decision-making abilities will contribute to your success in this role. Additionally, you should have experience in developing, managing, and executing sales campaigns within direct and channel sales models. Ideally, you have a minimum of 10 years of experience in high-tech business development, alliance management, and/or technical solution sales and marketing, with at least 5 years dedicated to business development and alliances.

        +


        +

        How you will make a difference:

        +


        +
          +
        • Facilitate field-partnering opportunities and sponsor account/business planning events.
        • +
        • Create and communicate global direct and channel sales teams mappings, ensuring collaborative work on a pipeline of opportunities.
        • +
        • Develop and execute a sales strategy that aligns with business goals, growth initiatives, programs, and incentives.
        • +
        • Participate directly in the sales cycle for key ""must-win"" opportunities and enable sell-to opportunities.
        • +
        • Enable sales and technical cross-training on joint solutions.
        • +
        • Establish and influence go-to-market plans involving partner and user group events, seminars, and awareness-building activities.
        • +
        • Collaborate with inside sales, field, and channel marketing teams on demand generation initiatives and campaigns.
        • +
        • Enable sales and technical cross-training around joint solutions.
        • +
        • Develop and maintain sales-oriented relationships and awareness with partner\'s executive leadership, regional management, and key account teams.
        • +
        • Define and monitor key metrics for alliance performance, conducting periodic business reviews with stakeholders.
        • +
        • Identify new opportunities, execute operational activities of alliances, and facilitate conflict and escalation resolution processes.
        • +
        • Capture new solution requirements.
        • +
        • Facilitate mutual roadmap and planning exchanges.
        • +
        • Work with product and technical marketing teams to produce materials (e.g., whitepapers, web presentations) supporting alliance plans and objectives.
        • +
        • Monitor the competitive landscape and ensure that materials reflect the latest, differentiated solution positioning accurately.
        • +
        +


        +

        Requirements:

        +


        +
          +
        • Ability to hold partners and colleagues accountable for jointly established go-to-market strategies.
        • +
        • Minimum of 10 years of experience in sales, channel management, alliances, programs, or account management.
        • +
        • Demonstrated ability to grow and manage revenue-generating partnerships.
        • +
        • Strong communication skills and the ability to build influential relationships with a wide range of stakeholders.
        • +
        • Experience managing in a matrix environment.
        • +
        +


        +

        Nice to Have:

        +


        +
          +
        • Passion for robotics and hardware.
        • +
        • Experience selling to manufacturing, warehousing, and related industries.
        • +
        +


        +

        Avidbots is an equal opportunity employer committed to building a diverse workforce. As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. We offer a professional working environment and culture and believe that work/ life balance is critical to ensure the happiness/well-being of our people.

        +


        +

        #INDAV

        +
        ",,https://avidbots.bamboohr.com/careers/677,feed-importer@jobboard.io,,,,2023-08-04T02:18:05.240Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217456-director-channel-sales-alliances-at-avidbots,,draft,2023-07-05T02:18:05.240Z,import-xml-feed:Selenium-Scraper,,,,,,, +31d933df-266b-4051-a9fd-66335c643028,243217450,Avidbots,Corporate Controller,on_site,"Ontario, Canada",2023-07-05T02:18:04.352Z,"
        +

        About Avidbots:

        +


        +

        At Avidbots, we believe in solving real world problems with autonomous robotics solutions. Our current product, Neo, is a fully autonomous floor scrubbing robot deployed and trusted by the world’s leading facilities and building services companies- and we aren’t stopping there! We are dedicated to continuously innovate, both on our current product and developing new solutions. Headquartered in Kitchener, ON, Canada and Chicago USA, Avidbots is a rapidly growing technology company, recognized as a Great Place to Work and one of Deloitte\'s Fast 500. Take a look at what Neo can do!

        +


        +

        About this role:

        +


        +

        This is an opportunity to bring your global experience and leadership of full-cycle accounting to build, coach and develop a high-performing team to fully own all aspects of the company’s corporate accounting function. We are looking for an energetic strategic thinker who is a problem solver, relationship builder and constantly seeks to learn and grow his/her and team’s capabilities as our business scales.

        +


        +

        The Corporate Controller is responsible for building scalable accounting operations of the company, ensuring timeliness and accuracy of financial reporting and filings in compliance with accounting standards and statutory requirements, evolving internal controls to maintain a strong governance framework, overseeing ERP system utilization and automation. Reporting to the CFO, the ideal candidate will possess exceptional hands-on leadership, communication and projection management skills with a demonstrated track record of building high performing teams.

        +


        +

        This role will work hybrid from our Kitchener/Waterloo Headquarters.

        +


        +

        How you will make a difference:

        +
          +
        • Lead the operations of the Accounting Department across revenue, billing, inventory, financial reporting, payroll and other general accounting matters
        • +
        • Drive excellence in the monthly close and consolidations processes across multiple entities globally while ensuring that the reported results comply with accounting standards and policies and procedures are followed timely and efficiently
        • +
        • Play a key role in our ERP implementation, developing a strategic view of how systems, processes and data enable efficiency in accounting operations and result in improved decision making
        • +
        • Work with external auditors and provide needed information for the annual audit
        • +
        • Ensure compliance with local, state, and federal government requirements across Canada and the US, and oversee third party accounting and tax filings globally
        • +
        • Maintain and document company’s accounting policies and procedures
        • +
        • Implement strong governance and internal controls
        • +
        • Manage cash and banking processes while building cash forecasting capability and instilling metrics driven approach to working capital management
        • +
        • Develop, hire and retain accounting talent
        • +
        +


        +

        Key requirements and experience:

        +
          +
        • Bachelor\'s Degree in Accounting or Finance preferred
        • +
        • Chartered Professional Accountant (CPA) required
        • +
        • 10+ years of accounting experience in a fast-paced environment
        • +
        • 3+ years management experience
        • +
        • Experience with SOX compliance or implementing internal controls frameworks
        • +
        • Public Accounting Experience preferred
        • +
        • Sophisticated depth of communication, analytical, project management and time management skills
        • +
        • Ability to multi-task efficiently, collaborate cross functionally and lead and inspire accounting team in a hybrid work environment
        • +
        • Maintain close attention to detail and strict deadlines
        • +
        • +Advanced knowledge of Epicor (preferred), NetSuite or similar ERP, and familiarity with leading accounting technology solutions +
        • +
        +


        +

        Avidbots is an equal opportunity employer committed to building a diverse workforce. As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. We offer a professional working environment and culture and believe that work/ life balance is critical to ensure the happiness/well-being of our people.

        +


        +

        #INDAV

        +
        ",,https://avidbots.bamboohr.com/careers/687,feed-importer@jobboard.io,,,,2023-08-04T02:18:04.352Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217450-corporate-controller-at-avidbots,,draft,2023-07-05T02:18:04.352Z,import-xml-feed:Selenium-Scraper,,,,,,, +c538de4a-f8d1-4846-9c1a-3fd91ad88fee,243217452,Avidbots,"Manager, Revenue and Billing Operations",on_site,"Ontario, Canada",2023-07-05T02:18:04.539Z,"
        +


        +

        About Avidbots:

        +


        +

        At Avidbots, we believe in solving real world problems with autonomous robotics solutions. Our current product, Neo, is a fully autonomous floor scrubbing robot deployed and trusted by the world’s leading facilities and building services companies- and we aren’t stopping there! We are dedicated to continuously innovate, both on our current product and developing new solutions. Headquartered in Kitchener, ON, Canada and Chicago USA, Avidbots is a rapidly growing technology company, recognized as a Great Place to Work and one of Deloitte\'s Fast 500. Take a look at what Neo can do!

        +


        +

        About this role:

        +


        +

        The Manager, Revenue & Billing Operations oversees the daily operation of the Revenue and Billing functions, with a focus on Revenue Accounting Operations (revenue recognition and application of accounting standards), Billing Operations (contract review, customer billing and system automation) and Credit and Collections Operations. This role will serve as a strategic partner to the Controller to drive the overall vision of the complete order-to-cash (OTC) function.

        +

        This role will work Hybrid from our Kitchener/Waterloo Headquarters.

        +


        +

        How you will make a difference:

        +


        +
          +
        • Set the overall vision of the Order-To-Cash process and oversee all related processes and systems, develop and maintain related internal controls
        • +
        • Develop cross functional strategies for the OTC process with Legal, IT, Sales Operations, Product and FP&A teams as applicable
        • +
        • Build and grow a world class Revenue and Billing team
        • +
        • Oversee the overall billing process, implement efficiencies where needed, relentlessly pursue billing automation to ensure billing accuracy and data completeness
        • +
        • Manage the completeness, accuracy and timeliness of month-end billing and mid-month renewals
        • +
        • Serve as Project Lead for Billing System implementation. Drive decisions on project implementation that support overall business strategy.
        • +
        • Oversee revenue accounting operations to ensure appropriate application of revenue recognition guidance under main accounting standards
        • +
        • Own accuracy and completeness of deferred revenue schedules and related effectiveness of the month-end close process
        • +
        • Establish and maintain credit review process for new and existing customers
        • +
        • Drive customer collections process to maintain cash flows; develop and maintain an effective escalation process
        • +
        • Create and maintain periodic collection metrics and hold team accountable for high level of collection efforts
        • +
        • Design and implement policies, standard operating procedures across revenue recognition, billing and collection activities
        • +
        +


        +

        Key requirements and experience:

        +


        +
          +
        • 5+ years related accounting experience in either a corporate, consulting or financial audit capacity
        • +
        • 3+ years direct employee management
        • +
        • Experience in the technology industry and hardware, service and software-related billing operations
        • +
        • High level of experience with systems implementation and data automation
        • +
        • Experience with Epicor, Salesforce CPQ and data analytics software like Tableau
        • +
        • Ability to effectively operate in a fast-paced unstructured team environment
        • +
        • Exceptional communication and project management skills
        • +
        +


        Avidbots is an equal opportunity employer committed to building a diverse workforce. As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. We offer a professional working environment and culture and believe that work/ life balance is critical to ensure the happiness/well-being of our people.

        +

        +

        #INDAV

        +
        ",,https://avidbots.bamboohr.com/careers/688,feed-importer@jobboard.io,,,,2023-08-04T02:18:04.539Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217452-manager-revenue-and-billing-operations-at-avidbots,,draft,2023-07-05T02:18:04.539Z,import-xml-feed:Selenium-Scraper,,,,,,, +3781ccd3-d058-4103-8b6d-95f456bfa33a,243217479,Clearpath,Didn\'t Find the Position You\'re Looking For? Send a General Application Here,on_site,"Ontario, Canada",2023-07-05T02:18:08.134Z,"

        Description

        Position at Clearpath Robotics

        Interested in a role at Clearpath Robotics, but don\'t see a role for you available? Feel free to apply and if a role becomes available, we may reach out!

        ",,http://jobs.jobvite.com/clearpath/job/oMEEkfw8,feed-importer@jobboard.io,,,,2023-08-04T02:18:08.134Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217479-didn-t-find-the-position-you-re-looking-for-send-a-general-application-here-at-clearpath,,draft,2023-07-05T02:18:08.134Z,import-xml-feed:Selenium-Scraper,,,,,,, +3e699265-3a97-491f-a16d-ff344ee04e3f,243217449,Avidbots,Technical Support Specialist English and French,on_site,"Ontario, Canada",2023-07-05T02:18:04.287Z,"
        +

        Avidbots bring robots to everyday life to expand human potential. Our ground-breaking product, the Neo autonomous floor scrubbing robot, is deployed around the world and trusted by leading facilities and building service companies. Headquartered in Kitchener, ON, Canada, Avidbots is a 100% vertically integrated technology company offering comprehensive service and support to customers on five continents.

        +


        +

        About the Role:

        +

        We are looking for a Technical Support Specialist, enthusiastic and customer-centric to help support our robots, customers, and technicians in the field; able to interact with people and excel in a fast-moving & dynamic environment, highly skilled at uncovering customers’ needs and following through with effective solutions. The Customer Support Specialist is critical to our customer’s success by providing excellent customer service and helping resolve technical issues quickly and professionally. This role reports to the Team Lead - Technical Support. Those who live in Cali, Palmira, Yumbo or Jamundí must be able to go to the office if it is required.

        +


        Key skills, experience, responsibilities, and requirements:

        +
          +
        • Fluent in English and French and has had experience in predominantly English-speaking and French-speaking work environments.
        • +
        • Previous phone support and email experience and assisting English and French speaker customers, with excellent tone and customer-facing language skills.
        • +
        • 1-3 years of experience in customer service.
        • +
        • Driven individual, passionate about learning Ability to work in occasionally flexible shifts and adapt to change work schedules based on business and customer needs.
        • +
        • Have strong people skills, be approachable, be a good listener, and be empathetic, with great attention to detail.
        • +
        • Adaptability to follow always evolving procedures with great attention to detail.
        • +
        • Mostly remote work, available to go to the site for training and short periods. (Only Remote outside Cali city)
        • +
        • Work with internal teams to help resolve more complex challenges and escalate technical issues accordingly.
        • +
        • Coordinate technical visits and Part shipments with customers.
        • +
        +

        Nice to have:

        +
          +
        • Knowledge of electronics, programming, technology, and robotics.
        • +
        • Technical or Engineering background with experience in troubleshooting.
        • +
        • Experienced in Salesforce, JIRA, and Linux terminal.
        • +
        +
        ",,https://avidbots.bamboohr.com/careers/693,feed-importer@jobboard.io,,,,2023-07-18T02:23:02.961Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217449-technical-support-specialist-english-and-french-at-avidbots,,draft,2023-07-05T02:18:04.287Z,import-xml-feed:Selenium-Scraper,,,,,,, +82a012aa-5b43-4af4-9913-829b953680dd,243217481,Clearpath,Material Planner,on_site,"Ontario, Canada",2023-07-05T02:18:08.433Z,"

        Description

        Position: Material Planner
        Location: Kitchener, Ontario
        Job Type: Full-Time Permanent
        Experience: 2-4 Years of relevant experience
        Education: Degree or Diploma in relevant field
        Division: OTTO Motors

        +

        About OTTO Motors, a division of Clearpath Robotics

        +

        Our mission is to create safer, more productive and fulfilling workplaces with autonomous material handling technology.

        Most recently, OTTO Motors was recognized among the top 1% of Canada’s highest-performing global private companies by Communitech.. and Fast Company’s 2023 list of Most Innovative Companies in 2023.

        +

        Our loyal customers are also the most recognizable brands in the world and trust OTTO Motors to fulfill their mission-critical material handling needs: General Electric, Toyota, Hershey, Caterpillar, Berry Global, and more. For more information about us, visit www.ottomotors.com. OTTO delivers intelligence, productivity, scalability, results and most importantly, the future.

        +About the Job

        As Clearpath grows exponentially and continues to design and build robots full of awesomeness, we
        need someone to come in to aid in the purchase of super awesome robot parts! With more robots
        shipping out than ever before, we’re looking for a Material Planner to join the team and keep up
        with our growth. This position offers the best mix of responsibility, challenge, and enjoyment. We’re
        looking for someone who can come in, take charge, and help keep our supply chain running
        smoothly.

        As our Material Planner, you will work among our fantastic Supply Chain/Operations Team within
        OTTO Motors, Clearpath’s Industrial division. You will wear many hats, work with every department
        in our company, and be around the coolest robots you can imagine. (Bonus points if you’re friends
        with cool robots…we’ll hire them too!). You will be responsible for ensuring the availability of all
        necessary materials required to support the manufacturing process, release scheduling of
        inbound raw materials and components, and ensuring adequate stock levels for production
        requirements.

        About You

        You want to work for a growing, yet thriving, company that thinks big and dreams huge. You are
        driven, view work as more than just a job, and are never satisfied with a project left half-done. You
        want to be surrounded by people like you; creative, fun-loving, and passionate about their work.
        You’ll like being the point person for purchasing concerns. You are motivated by making an impact
        on your workplace and you thrive on challenging and rewarding problems. Oh, and you have some
        form of higher education with the common sense to back it up.

        Your primary responsibilities will be:
          +
        • Translate the build rate plan forecast into material suggestions considering suppliers’ lead times, material on hand, minimum level quantities, etc.
        • +
        • Utilize the MRP functionality in Epicor and verify system suggestions before sending them off to the purchasing team
        • +
        • Run different production scenarios to find out cost of material commitment for the different forecasts
        • +
        • +Responsible for translating the Engineering Change Process outcome into inventory to update or add new planning parameters for parts being added or updated +
        • +
        • +Understand product demand and update minimum on hand and other planning parameters as necessary +
        • +
        • +Direct various departments on how to utilize the system through completing inventory transactions keeping costing and on hand quantities correct +
        • +
        • +Work with the engineering team to collect costing data on new projects being launched and determine BOM costing in advance +
        • +
        • +Administer BOM costing reports and completing comparative analysis to determine
          costing trends for our products +
        • +
        • +Manage our consumable VMI vendor by setting up new parts, removing parts as they become obsolete and leading the engineering change process when a part is no longer available. +
        • +
        +
        Required Experience/Skills:

          +
        • Degree or Diploma in a relevant field
        • +
        • 2-4 years in material management
        • +
        • MRP experience
        • +
        • Strong business acumen and understanding of procurement process
        • +
        • Exceptional verbal and written communication skill
        • +
        • Able to quickly evaluate and assess a problem situation and prioritize courses of action
        • +
        • Being comfortable in a customer-facing situation, and acting with professionalism in each of those instances
        • +
        +Bonus points for:
        • Experience with Epicor and Source Day
        +
        At Clearpath, we are committed to building and supporting a culture of diversity, inclusion, and accessibility. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, veteran status, sex, sexual orientation, gender identity, and expression. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

        ",,http://jobs.jobvite.com/clearpath/job/odRmnfwx,feed-importer@jobboard.io,,,,2023-08-04T02:18:08.433Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217481-material-planner-at-clearpath,,draft,2023-07-05T02:18:08.433Z,import-xml-feed:Selenium-Scraper,,,,,,, +9046f858-0a71-4f1f-8c8b-2aaef52404d5,243217483,Clearpath,Systems Integrator,on_site,"Ontario, Canada",2023-07-05T02:18:08.749Z,"

        Description

        +

        Position: Systems Integrator
        Location: Kitchener, ON
        Job Type: Full-Time Permanent
        Experience: 2-5 years of relevant work experience
        Education: Electrical/Mechanical/Industrial Controls/Mechatronics/Systems Engineering related field
        Division: OTTO Motors

        +

        About OTTO™ Motors (Division of Clearpath Robotics)

        OTTO™ Motors is a growing, disruptive company, making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self-driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit www.ottomotors.com.

        +

        About the Job

        +

        The Systems Engineering (SE) team works closely with our Project Management Office (PMO) within our professional services organization to deliver business value to our end users, channel partners, and for OTTO Motors. SEs design and implement fleets of OTTO autonomous mobile robots (AMR) and software at our customer facilities. In addition, the SE team delivers training to our integration partners and end-users, and evaluates use cases to establish guidelines, standards, and best practices for how OTTO Motors products can be used by the market, specifically by our integrator network. Furthermore, the SE team is a major contributor to defining our product requirements and is a major influencer of our product roadmap.

        +

        Primary responsibilities:

        +
          +
        • detailed design of AMR systems using OTTO Motors products to meet the customer requirements; this includes workflow design, attachment design, map design and development/modification middle layer software logic using Ignition OPC/UA and/or PLC logic design and modification
        • +
        • authoring & executing acceptance test plans for validation of system functionality and performance;
        • +
        • commissioning & integration of AMR systems at client facilities throughout the world; this includes traveling to customer or integration partner facility for on-site deployment and integration with facility side automation equipment
        • +
        • optimizing system performance through analysis, simulation, and experimentation;
        • +
        • project planning for the deliverables and work packages you own;
        • +
        • communicating technical details and status to the customer and broader project team;
        • +
        • consulting with integration partners on all of the above
        • +
        • delivery of training to integration partners as well as end users
        • +
        • troubleshooting software & hardware technical issues using internal tools available; solving new and challenging technical problems related to the above
        • +
        +

        Additional responsibilities:

        +
          +
        • authoring new product requirements based on the lessons learned from your design and commissioning activities;
        • +
        • working with the systems engineering team to improve department tools, processes, and working relationships with other departments;
        • +
        • ability to travel for business within North America, Europe and Asia; ~35 - 45 % travel commitment over the year (travel mostly contained to Canada and USA). Trips to site would typically be 2 weeks on - 2 weeks off during the project integration phase.
        • +
        +

        About You

        +

        You want to work for a fast-moving company that thinks big and dreams huge. You are driven, view work as more than just a job, and are never satisfied with a project left half-done. You want to be surrounded by people who are creative, fun-loving, and passionate about their work. You are motivated by making an impact on your workplace and you thrive on challenging and rewarding problems. You have a customer-first mentality and strive to exceed customer expectations.

        +

        Your mastery comes from years of experience in designing and integrating complex systems solutions for industrial automation applications. You are able to represent a complex system via a simplified block diagram representation to convey the objective and details to the end-user systematically.

        +

        Required background:

        +
          +
        • 3+ years of relevant work experience
        • +
        • 3+ years of experience commissioning & integrating industrial automated equipment or software that interfaces to the equipment
        • +
        • college/university diploma or degree in an engineering, design, or industrial controls type of field
        • +
        • experience working directly with clients/end-users
        • +
        • experience in troubleshooting and repairing electro-mechanical systems/subsystems
        • +
        • interpretation & design analysis of mechanical drawings and electrical schematics
        • +
        • PLC design and integration experience
        • +
        • demonstrated ability to work with Linux
        • +
        • planning and organization (how to approach and solve a problem, work breakdown to achieve the end goal, etc.)
        • +
        • strong communicator, verbal and written
        • +
        • self-motivated and organized with a keen eye for detail
        • +
        +

        Bonus for experience:

        +
          +
        • training users of automated equipment/software
        • +
        • authoring and modifying software code (python, C++, or other)
        • +
        • experience with inductive Automation Ignition OPC/UA software
        • +
        • Have Spanish as first, second or third language.
        • +
        +

        At Clearpath, we are committed to building and supporting a culture of diversity, inclusion, and accessibility. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, veteran status, sex, sexual orientation, gender identity, and expression. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

        ",,http://jobs.jobvite.com/clearpath/job/oQ0Dmfwz,feed-importer@jobboard.io,,,,2023-08-04T02:18:08.749Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217483-systems-integrator-at-clearpath,,draft,2023-07-05T02:18:08.749Z,import-xml-feed:Selenium-Scraper,,,,,,, +6b5e73a8-cd5f-4e26-a9f5-3967d56a61f2,243217486,TELUS,Data Scientist,on_site,"Ontario, Canada",2023-07-05T02:18:09.209Z,"
        +
        +

        Description

        +
        +

        +

        Join our team and what we\'ll accomplish together

        +

        +

        The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high-quality data, and a data-product-oriented culture while always keeping an eye on the horizon, preparing for the next big thing.

        +

        +

        We are entrepreneurial and live by our AI Manifesto of failing fast and being outcome vs technology-driven, creating value for our customers, team members, communities, and the environment. The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web visualizations, we do it all!

        +

        +

        Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

        +

        +

        Here’s the impact you’ll make and what we’ll accomplish together

        +

        +

        You’ll be a part of the team and journey that will transform the way we do business across various domains. You’ll collaborate with teams across the company, seeking out various data sources to help identify new business opportunities while championing data-driven decision-making and the accelerated adoption of AI.

        +

        +

        As a Data Scientist on the team, you will combine your expert knowledge of data science with your strong software development skills to automate and facilitate data exploration, analytics, machine learning model development, training and deployment and will leverage your experience in building reusable algorithms, functions and libraries.

        +

        +

        Here\'s how

        +
          +
        • Lead the iterative development, validation, and deployment of AI/ML models
        • +
        • Collaborate on end-to-end automation efforts required to bring models to production
        • +
        • Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
        • +
        • Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
        • +
        • Influence how we approach business challenges and opportunities by driving the adoption of a data-driven mindset
        • +
        • Develop re-usable code aimed at delivering on future goals faster and more reliably
        • +
        • Support and evolve the Advanced Analytics and Data Science roadmap by leveraging industry research, best practices and emerging tools/technology
        • +
        • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
        • +
        +

        +

        #DSEjobs

        +
        +
        +
        +

        Qualifications

        +
        +


        What you bring

        +

        +
          +
        • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
        • +
        • You are sought out for your skills in Machine Learning and AI, including regression, classification, clustering, time series analysis, NLP, and optimization and bring 2-4 years of hands-on work and practical business experience in the above areas
        • +
        • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences
        • +
        • You have solid development experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras and have applied these skills towards solving actual business matters
        • +
        • You are comfortable in and with a Jupyter environment and infrastructure, and familiar with GitHub
        • +
        • You possess advanced knowledge in SQL and distributed computing
        • +
        • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
        • +
        • You are well versed in software and AI development lifecycles, including ML Ops
        • +
        • You are agile and have a bias for action, removing roadblocks to get results fast
        • +
        +

        +

        Great-to-haves

        +

        +
          +
        • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, Engineering, or Data Science
        • +
        • Experience with agile methodology and work in a start-up environment
        • +
        • GCP or other cloud certifications
        • +
        +

        +

        #LI-REMOTE

        +

        +

        +
        +
        +
        ",,https://careers.telus.com/job/Toronto-Data-Scientist-ON/571745517/,feed-importer@jobboard.io,,,,2023-07-11T02:23:03.163Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217486-data-scientist-at-telus,,draft,2023-07-05T02:18:09.209Z,import-xml-feed:Selenium-Scraper,,,,,,, +34779d0a-b684-4dc9-95cb-0e44bae83a04,243217490,TELUS,Senior Technical Product Manager - SmartHome Data and AI Solutions,on_site,"Ontario, Canada",2023-07-05T02:18:09.585Z,"
        +
        +

        +
        +

        +

        Our team and what we’ll accomplish together:

        +

        +

        We’re a Platform Product Management team on a mission to build an innovative platform that empowers companies globally to simplify, unify, and transform the smart living experience for their customers. We focus on enabling our Platform as a Service (PaaS) customers to offer differentiated SmartHome products and rapidly scale in their market. Your expertise in platform product management and deep understanding of the smart home market will play a critical role in shaping the future of smart living globally.

        +

        +

        Press Release: Redefining the connected home

        +

        +

        What you’ll do:

        +

        +

        You will be at the forefront, enabling contextual & personalized product experiences through the power of Artificial Intelligence (AI), Machine Learning (ML). You will product manage our platform’s data offerings including our AI/ML pipeline, data insights and reporting capabilities for our PaaS clients and core data infrastructure. You will collaborate closely with cross-functional teams, including engineering, privacy, regulatory, mobile app design, marketing, and operations, to create and manage the AI/ML and Data Lake roadmap. As part of an agile development program you will bring new features and capabilities to market by developing internal and external relationships that help drive detailed requirements and prioritizing the backlog for your development squad.

        +

        +

        Here’s how:

        +

        +
          +
        • Develop our approach to data and AI/ML capabilities in alignment with the overall vision, goals, and opportunities
        • +
        • Collaborate with stakeholders to define data lake & AI/ML requirements, roadmap, and priorities
        • +
        • Partner closely with your squads from ideation and conceptualization to launch and post-launch optimization, ensuring timely delivery of high-quality platform services
        • +
        • Collaborate with engineering teams to translate platform requirements into technical specifications, ensuring the delivery of scalable, secure, and reliable PaaS solutions
        • +
        • Drive innovation and differentiation by identifying emerging trends, technologies, and market opportunities in the AI/ML, SmartHome and PaaS space
        • +
        • Define and monitor key performance indicators (KPIs) to evaluate the success and impact of your portfolio, making data-driven recommendations for continuous improvement
        • +
        • Collaborate with operations teams to ensure seamless integration, deployment, and ongoing maintenance of the PaaS platform across global markets
        • +
        +

        +

        +
        +
        +
        +

        +
        +

        +

        What you bring:

        +

        +
          +
        • Significant Product Management experience, ideally with SmartHome, IoT and/or Platform as a Service
        • +
        • Experienced working with agile teams as a SCRUM Product Owner and using Jira, Confluence or equivalents
        • +
        • Technology background with understanding of: IoT, Artificial Intelligence, Machine Learning, API and others
        • +
        • Understanding of data governance, regulatory & privacy best practices
        • +
        • Recognized for your thought leadership, problem-solving skills and willingness to take on new initiatives
        • +
        • An expert storyteller who can craft messages that land with any audience including presentations to senior leadership
        • +
        • Known for your excellent communication, and ability to foster an environment of collaboration, and idea sharing
        • +
        +

        +

        Great to have:

        +

        +
          +
        • Bachelor\'s degree in Business, Data Science or AI/ML, Computer Science, Engineering, or a related field, advanced degree preferred
        • +
        • AWS certifications
        • +
        +

        +

        If you are passionate about creating innovative products that help to solve real-world problems, and have a track record of delivering successful technical products and services, then we encourage you to apply for this exciting opportunity!

        +

        +

        +
        +
        +
        ",,https://careers.telus.com/job/Toronto-Senior-Technical-Product-Manager-SmartHome-Data-and-AI-Solutions-ON/570913517/,feed-importer@jobboard.io,,,,2023-08-04T02:18:09.585Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217490-senior-technical-product-manager-smarthome-data-and-ai-solutions-at-telus,,draft,2023-07-05T02:18:09.585Z,import-xml-feed:Selenium-Scraper,,,,,,, +d165b5af-f1b4-486f-8769-464ff474ae1a,243861190,TD Bank Group,"Manager, Analytics & Insights",on_site,"Toronto, ON",2023-07-06T15:53:03.771Z,"
        +

        Company Overview

        +
        +

        Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

        +

        Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

        +
        +

        +

        Department Overview

        +
        TD Auto Finance is a dynamic division within TD. This is an exciting opportunity to join a rapidly growing business focused on providing a robust array of automotive financing options to meet our customers’ needs as well as the needs of our dealer partners. In Canada we also finance recreational and leisure vehicles, and serve the Prime and Non-Prime Auto market.
        In the goal to become Canada’s #1 auto lender we are over 900 people strong including an external sales team located coast to coast, as well as teams in credit adjudication, funding, inside sales, loan administration, customer service, collections and recovery, and our federated functions of risk management, technology solutions, finance & human resources. Our offices are located in Canada in Toronto, ON, Brossard, QC & Nanaimo, BC
        +

        +

        Job Description

        +
        +

        Reporting to the Senior Manager, Analytics & Information Management, this role is leading and managing a team of analysts who provide reporting to a wide range of audience at all levels, including senior executives, of all functions within TDAF.

        +
          +
        • Accountable for the development, maintenance and enhancement of reports/dashboards that provide information on day-to-day operational oversight, functional performance measurement, financial results, market intelligence and strategic business development
        • +
        • Accountable for maintaining AIM Intake process and request management through clarifying requests, allocating resources and level setting expectations
        • +
        • Act as the primary conduit and relationship manager between Reporting team and all other business partners
        • +
        • Pro-actively identify opportunities for the business to maximize shareholder value through provisioning of analytics discovery and business insights
        • +
        • Develop analytic & reporting solutions to support insight generation that align to strategy and optimize TDAF business performance
        • +
        • Act as a SME providing consultation and recommendations on how the Reporting team can provide strategic business value to teams across TDAF
        • +
        • Challenge analytical thinking within AIM and guide analysts through tactical analytic plans and identify best practices
        • +
        • Partner with Manager, Information Management to build a report automation pipeline to minimize the number of manual reports
        • +
        • Monitor and ensure the appropriate policies procedures and accountabilities are documented and followed for internal and external audit purposes. Coordinate with Internal Control and Technology teams to ensure controls are implemented.
        • +
        • Active participant in data-related projects that utilize data from the TDAF portfolio, ensuring Reporting team is aware of decisions and solutions on projects that are aligned with overall Data strategy from a business and technology perspective. This includes supporting Lead Data Steward and Data Steward in assessing downstream impacts to data users and developing mitigations
        • +
        • Provide ad hoc support to Senior Manager in strategic and tactical initiatives as required
        • +
        • Lead and develop the Reporting team by defining goals, objectives and success measurement for the group as a whole, as well as lead them to build and implement new initiatives
        • +
        • Provide leadership, coaching, and mentorship for all employees on the team
        • +
        +
        +

        +

        Requirements

        +
        EXPERIENCE & QUALIFICATIONS

        +
          +
        • Strong relationship building skills, ability to collaborate effectively with teams across TDAF and the Bank and with multiple stakeholders
        • +
        • Proven, passionate analytical thinker with track record of delivering business impact and results through developing and executing on innovative analytics solutions
        • +
        • Strong communication, both written and verbal, with the ability to effectively communicate with employees of all levels, and proven ability to convey complex information clearly and concisely
        • +
        • Strong Problem solving skills, with a history of using data to understand no only what is happening, but why it is happening, and what can now be done to resolve the issue
        • +
        • Ability to think both tactically and strategically as well as act in a consultative capacity to multiple stakeholders across an organization
        • +
        • Proven track record of success with ability to influence and drive results through all levels of management
        • +
        • Strong organizational skills, with the ability to work in a fast paced environment and manage multiple deadlines and priorities
        • +
        • Strong people management skills with proven leadership abilities
        • +
        • Self-motivated and efficient performer but with excellent team spirit
        • +
        +
        +

        +

        Additional Information

        +
        EDUCATIONAL REQUIREMENTS / ACCREDIATIONS:

        +
          +
        • Bachelor’s degree in Business Administration, Mathematics, Computer Science or Economics is required
        • +
        • Minimum 5 years of people & relationship management experience with excellent track record
        • +
        • Knowledge in SQL, Tableau, Python, Microsoft BI solutions will be an asset.
        • +
        • Automotive/Auto Finance experience will be an asset
        • +
        +
        +

        +

        Hours

        +
        37.5
        +

        +

        Inclusiveness

        +

        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

        +

        +
        ",,https://jobs.td.com/en-CA/jobs/18702353/manager-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-07-10T15:58:01.918Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/243861190-manager-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18702353/manager-analytics-insights-toronto-ca/,draft,2023-07-06T15:53:03.771Z,import-xml-feed:TD-Bank-Group---Job,,,,,,, +d165b5af-f1b4-486f-8769-464ff474ae1a,243861190,TD Bank Group,"Manager, Analytics & Insights",on_site,"Toronto, ON",2023-07-06T15:53:03.771Z,"
        +

        Company Overview

        +
        +

        Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

        +

        Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

        +
        +

        +

        Department Overview

        +
        TD Auto Finance is a dynamic division within TD. This is an exciting opportunity to join a rapidly growing business focused on providing a robust array of automotive financing options to meet our customers’ needs as well as the needs of our dealer partners. In Canada we also finance recreational and leisure vehicles, and serve the Prime and Non-Prime Auto market.
        In the goal to become Canada’s #1 auto lender we are over 900 people strong including an external sales team located coast to coast, as well as teams in credit adjudication, funding, inside sales, loan administration, customer service, collections and recovery, and our federated functions of risk management, technology solutions, finance & human resources. Our offices are located in Canada in Toronto, ON, Brossard, QC & Nanaimo, BC
        +

        +

        Job Description

        +
        +

        Reporting to the Senior Manager, Analytics & Information Management, this role is leading and managing a team of analysts who provide reporting to a wide range of audience at all levels, including senior executives, of all functions within TDAF.

        +
          +
        • Accountable for the development, maintenance and enhancement of reports/dashboards that provide information on day-to-day operational oversight, functional performance measurement, financial results, market intelligence and strategic business development
        • +
        • Accountable for maintaining AIM Intake process and request management through clarifying requests, allocating resources and level setting expectations
        • +
        • Act as the primary conduit and relationship manager between Reporting team and all other business partners
        • +
        • Pro-actively identify opportunities for the business to maximize shareholder value through provisioning of analytics discovery and business insights
        • +
        • Develop analytic & reporting solutions to support insight generation that align to strategy and optimize TDAF business performance
        • +
        • Act as a SME providing consultation and recommendations on how the Reporting team can provide strategic business value to teams across TDAF
        • +
        • Challenge analytical thinking within AIM and guide analysts through tactical analytic plans and identify best practices
        • +
        • Partner with Manager, Information Management to build a report automation pipeline to minimize the number of manual reports
        • +
        • Monitor and ensure the appropriate policies procedures and accountabilities are documented and followed for internal and external audit purposes. Coordinate with Internal Control and Technology teams to ensure controls are implemented.
        • +
        • Active participant in data-related projects that utilize data from the TDAF portfolio, ensuring Reporting team is aware of decisions and solutions on projects that are aligned with overall Data strategy from a business and technology perspective. This includes supporting Lead Data Steward and Data Steward in assessing downstream impacts to data users and developing mitigations
        • +
        • Provide ad hoc support to Senior Manager in strategic and tactical initiatives as required
        • +
        • Lead and develop the Reporting team by defining goals, objectives and success measurement for the group as a whole, as well as lead them to build and implement new initiatives
        • +
        • Provide leadership, coaching, and mentorship for all employees on the team
        • +
        +
        +

        +

        Requirements

        +
        EXPERIENCE & QUALIFICATIONS

        +
          +
        • Strong relationship building skills, ability to collaborate effectively with teams across TDAF and the Bank and with multiple stakeholders
        • +
        • Proven, passionate analytical thinker with track record of delivering business impact and results through developing and executing on innovative analytics solutions
        • +
        • Strong communication, both written and verbal, with the ability to effectively communicate with employees of all levels, and proven ability to convey complex information clearly and concisely
        • +
        • Strong Problem solving skills, with a history of using data to understand no only what is happening, but why it is happening, and what can now be done to resolve the issue
        • +
        • Ability to think both tactically and strategically as well as act in a consultative capacity to multiple stakeholders across an organization
        • +
        • Proven track record of success with ability to influence and drive results through all levels of management
        • +
        • Strong organizational skills, with the ability to work in a fast paced environment and manage multiple deadlines and priorities
        • +
        • Strong people management skills with proven leadership abilities
        • +
        • Self-motivated and efficient performer but with excellent team spirit
        • +
        +
        +

        +

        Additional Information

        +
        EDUCATIONAL REQUIREMENTS / ACCREDIATIONS:

        +
          +
        • Bachelor’s degree in Business Administration, Mathematics, Computer Science or Economics is required
        • +
        • Minimum 5 years of people & relationship management experience with excellent track record
        • +
        • Knowledge in SQL, Tableau, Python, Microsoft BI solutions will be an asset.
        • +
        • Automotive/Auto Finance experience will be an asset
        • +
        +
        +

        +

        Hours

        +
        37.5
        +

        +

        Inclusiveness

        +

        At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

        +

        +
        ",,https://jobs.td.com/en-CA/jobs/18702353/manager-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-07-10T15:58:01.918Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/243861190-manager-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18702353/manager-analytics-insights-toronto-ca/,draft,2023-07-06T15:53:03.771Z,import-xml-feed:TD-Bank-Group---Job,,,,,,, +6f2c4543-407f-4c06-a004-9b66e6644981,243861001,Scotiabank,Global Banking and Markets - Sales and Trading Internship/Co-op - Winter 2024,on_site,Canada : Ontario : Toronto || Canada : Alberta : Calgary,2023-07-06T15:52:03.587Z,"

        +

        +

        +

        +

        Requisition ID: 180810

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

        +

        +

        Term: January - April 2024

        +

        Location: Toronto or Calgary

        +

        Application Deadline: 07/24/2023

        +

        +

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

        +

        +

        Who We Are:

        +

        +

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

        +

        +

        The Capital Markets, Sales & Trading Internship is a four-month position at Scotiabank Global Banking and Markets that is designed to introduce undergraduate and graduate students to the stimulating and dynamic environment of wholesale sales & trading. Students could be placed in one of the following areas:

        +

        +
        • XVA Trading
        • Fixed Income Derivative Solutions
        • Commercial FX and DPG
        • Corporate Derivatives Product Group
        • Risk Solutions Structuring
        • Retail FX and Precious Metals
        • FX Trading
        • Government Finance
        • Fixed Income Sales and Trading
        • Mortgage Aggregation and ABS Trading
        • FICC Structuring
        • Canadian Rates Trading
        • CMF: Collateral Management and Funding
        • Commodities Derivatives
        • Global Equity Derivatives
        • Prime Services
        • +Equity Financial Resource Management +
        • +
        +

        +

        The objective of the internship is to identify exceptional candidates for full-time opportunities or a second internship with the GBM Capital Markets team. All interns will have access to our mentorship program where students are teamed-up with a mentor who will serve as a guide for both professional and personal development. Additionally, there is a capstone project for all interns that provides them the opportunity to learn about a different business area and build additional professional relationships.

        +

        +

        We are committed to offering you extensive opportunities for training, hands-on experience, and career advancement. Simply put, your future is our investment.

        +

        +

        +

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

        +
        • Provide assistance to the Sales, Trading and Structuring staff on the trade floor in the execution of their day-to-day functions
        • Assist in preparing client pitches and presentations, daily market commentary and providing timely client support
        • Work on research projects as required
        • +
        +

        +

        +

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

        +
        • You are currently enrolled in post-secondary education in a Business, Science, Technology, Engineering, Economics or Math discipline
        • You love to learn and envision yourself working for an international organization that heavily invests in your future
        • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions/hackathons
        • You have a demonstrated interest and knowledge in the financial markets
        • You have a proven record of outstanding achievement in academic and extracurricular activities
        • You have strong interpersonal skills and the ability to work in a collaborative environment
        • You have the ability to overcome challenges presented by a constantly changing work environment
        • Having a working knowledge of VBA, Python or other programming languages is a bonus!
        • +
        +

        +

        What’s in it for you?

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

        +

        How do I apply?

        +

        +

        We believe in relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. In short, we don’t believe resumes will provide us with an accurate depiction of what you’re truly about; we want to get to know YOU and hear about the experiences that have shaped you. We know… this might sound unbelievable, but we do not want you to submit your resume and instead, we ask that as part of your application, you complete the below:

        +

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

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

        +

        +

        +

        +

        Location(s): Canada : Ontario : Toronto || Canada : Alberta : Calgary

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

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

        ",,https://jobs.scotiabank.com/job/Toronto-Global-Banking-and-Markets-Sales-and-Trading-InternshipCo-op-Winter-2024-ON/571879817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-05T15:52:03.601Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243861001-global-banking-and-markets-sales-and-trading-internship-co-op-winter-2024-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Global-Banking-and-Markets-Sales-and-Trading-InternshipCo-op-Winter-2024-ON/571879817/,draft,2023-07-06T15:52:03.587Z,import-xml-feed:Scotiabank,,,,,,, +e3a1aced-4962-4fbc-9144-aa83650423ce,243861002,Scotiabank,Global Banking and Markets - Equity Research Associate Internship/Co-op - Winter 2024,on_site,Canada : Ontario : Toronto,2023-07-06T15:52:03.667Z,"

        +

        +

        +

        +

        Requisition ID: 180801

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

        +

        +

        +

        Term: January – April 2024

        +

        Application Deadline: 07/24/2023

        +

        +

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

        +

        +

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

        +

        +

        As part of the Global Capital Markets group, the Equity Research Associate Internship is designed to provide co-op Undergraduate and/or MBA and Masters students with exposure to various elements of the investment industry.

        +

        Research Associates play an integral role in the Equity Research department by providing crucial assistance to one or more Equity Research Analysts. Research Associates gain hands-on experience in performing financial analyses such as market comparisons, company valuations and financial modeling.

        +

        +

        Research Associates are responsible for assisting the Research Analyst(s) in the analysis of industries and companies. The successful candidate will develop a good understanding of the financial markets, the factors that influence stock prices, and how these factors impact the particular pricing of a stock.

        +

        +

        Some of your regular responsibilities will include:

        +
        • Creating and maintaining spreadsheets including financial models and industry databases
        • Generating tables and graphs for use in research publications and presentations
        • Conducting primary research from industry and financial sources
        • Providing write-ups on companies and industries
        • Preparing marketing presentations using PowerPoint
        • +
        +

        +

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

        +
        • You are currently enrolled in post-secondary education
        • You love to learn and envision yourself working for an international organization that heavily invests in your future
        • You enjoy being involved in extracurricular activities such as conferences, clubs, competitions, and/or hackathons
        • You have a strong record of academic achievement
        • You have strong accounting, analytical and math skills
        • You have strong written and verbal communication skills
        • You have excellent Excel skills
        • You are able to perform under pressure and meet tight deadlines, sometimes for extended periods of time
        • +
        +

        +

        The following skills/interests are not required, but would be an asset:

        +
        • Familiarity with Bloomberg or FactSet
        • Enrollment in or completion of the Canadian Securities Course
        • Interest in pursuing (or enrollment in) the Chartered Financial Analyst (CFA) program
        • +
        +

        +

        What’s in it for you?

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

        +

        How do I apply?

        +

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

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

        +

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

        +

        +

        +

        +

        +

        Location(s): Canada : Ontario : Toronto

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

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

        ",,https://jobs.scotiabank.com/job/Toronto-Global-Banking-and-Markets-Equity-Research-Associate-InternshipCo-op-Winter-2024-ON/571872217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-05T15:52:03.675Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/243861002-global-banking-and-markets-equity-research-associate-internship-co-op-winter-2024-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Global-Banking-and-Markets-Equity-Research-Associate-InternshipCo-op-Winter-2024-ON/571872217/,draft,2023-07-06T15:52:03.667Z,import-xml-feed:Scotiabank,,,,,,, +b5867c1b-a1b0-4a60-8f7e-d79b46076014,245265865,Avidbots,Logistics Coordinator,on_site,"Ontario, Canada",2023-07-11T02:18:02.631Z,"
        +

        We are seeking a detail-oriented Logistics Coordinator to join our team. In this role, you will be responsible for coordinating and monitoring all aspects of our company\'s transportation and logistics systems, ensuring seamless and efficient operations.

        +


        +

        This opportunity is based in our Kitchener office.

        +


        +

        Day-to-Day Activities

        +
          +
        • Coordinate logistics activities, including transportation and delivery of goods, warehousing, and inventory management
        • +
        • Develop and maintain positive relationships with transport companies, suppliers, and customers
        • +
        • Manage all outgoing shipments, ensuring timely and accurate delivery of goods to the intended destination
        • +
        • Ensure compliance with all transportation laws, regulations, and safety practices
        • +
        • Monitor and manage inventory levels, in shipping ie: packaging ensuring that stock levels are sufficient to meet demand
        • +
        • Ensure that all necessary documentation, such as customs declarations, bills of lading, and shipping manifests, are accurate and complete
        • +
        • Assist in the negotiation of transportation rates and other logistics-related agreements
        • +
        • Resolve any transportation or logistics-related issues that arise, working with internal and external stakeholders to find rapid and appropriate solutions
        • +
        • Responsible for managing logistics of our DEMO fleet
        • +
        • Picking and packing all outgoing orders
        • +
        +

        +

        Requirements

        +
          +
            +
          • Minimum of 5 years of experience in logistics
          • +
          • Proficient knowledge of transportation laws and regulations, including those related to international shipments and customs declarations
          • +
          • Familiar with shipping Ocean Freight
          • +
          • Strong organizational and multitasking skills, with the ability to prioritize and manage competing demands effectively
          • +
          • +Excellent communication and interpersonal skills, with the ability to build and maintain positive relationships with a wide range of people
            +
          • +
          • Ability to work independently and as part of a team, with a strong work ethic and commitment to quality and excellence in all work performed
          • +
          • Excellent communication and interpersonal skills, with the ability to build and maintain positive relationships with a wide range of people
          • +
          • Strong knowledge of transportation laws and regulations, including those related to international shipments and customs declarations
          • +
          • Proficiency in Microsoft Office and other related software tools
          • +
          • Familiar with Google Workspace
          • +
          • Ability to work independently and as part of a team, with a strong work ethic and commitment to quality and excellence in all work performed
          • +
          +


          +

          About Avidbots

          +

          At Avidbots, we believe in solving real world problems with autonomous cleaning robotic solutions to unlock humanity’s potential. Neo is our current groundbreaking autonomous floor scrubbing robot that enhances facility cleanliness around the world empowering reallocation of human capital to higher priority focuses… and we’re just getting started!

          +


          +

          Headquartered in Kitchener, ON, Canada, we are an employee-focused organization that has been certified a Great Place to Work® consecutively for the last 4 years and one of Deloitte\'s Fast 500 (2021).

          +

          Now is your opportunity to join a fast-growing technology company built on teamwork, innovation, and boundless ambition!

          +

          Check Neo out!

          +


          +

          ***Applicants must be currently authorized to work in Canada for any employer

          +


          +

          CAD: Avidbots is an equal opportunity employer committed to building a diverse workforce. As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. Avidbots does not stand for discrimination or hate of any kind from our employees. We are a diverse Canadian company founded by international students, and we are proud of the strengths our diversity brings. We hold our executives to the same standards as all of our employees, and we believe work should be a safe space for all. Avidbots has an absolutely zero tolerance policy for discrimination or hate against members of any race, religion or sexual orientation. We also offer a professional working environment and culture and believe that work / life balance is critical to ensure the happiness/well-being of our people.

          +


          +

          Upon request, Avidbots will provide reasonable accommodation for applicants with disabilities throughout the recruitment and selection process.

          +


          +

          #INDAV

          +
          ",,https://avidbots.bamboohr.com/careers/694,feed-importer@jobboard.io,,,,2023-08-10T02:18:02.631Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/245265865-logistics-coordinator-at-avidbots,,draft,2023-07-11T02:18:02.631Z,import-xml-feed:Selenium-Scraper,,,,,,, +a081f7b9-7893-449c-b421-5f417572a3ed,245220831,Magna International,Cut N Etch Technician,on_site,"Brampton, ONTARIO, CA, L6R 0A9",2023-07-10T16:04:02.401Z,"
          +
          +

          Role Summary

          +
          +

          This position will work closely with the Supervisor/Leadhand/Assistant Leadhand in monitoring and documenting all conditions pertaining to welds. They will fill in on production lines as required and will adhere to all Safety, Quality and Production guidelines.

          +

          +

          **The successful candidate for this role will work at our new Magna Structures Heart Lake facility located in Brampton, ON**

          +
          +
          +
          +

          Key Responsibilities

          +
          • Maintain safety standards of equipment and work area and perform all duties in a safe manner in accordance with the safety policies of Karmax.
          • Perform all duties in a safe manner in accordance with Section 28 of the Occupational Health & Safety Act and Regulations for Industrial Establishments.
          • Definitions:

            “Worker” means a person who performs work or supplies services for monetary compensation but does not include an inmate of a correctional institution or like institution or facility who participate inside the institution or facility in a work project or rehabilitation program.

            Duties of Workers

            28. (1) A worker shall,

            (a) work in compliance with the provisions of this Act and the regulations;

            (b) use or wear the equipment, protective devices or clothing that the worker’s employer requires to be used or worn;

            (c) report to his or her employer or supervisor the absence of or defect in any equipment or protective device of which the worker is aware and which may endanger himself, herself or another worker; and

            (d) report to his or her employer or supervisor any contravention of this Act or the regulations or the existence of any hazard of which he or she knows.

            (2) No worker shall,

            (a) remove or make ineffective any protective device required by the regulations or by his or her employer, without providing an adequate temporary protective device and when the need for removing or making ineffective the protective device has ceased, the protective device shall be replaced immediately;

            (b) use or operate any equipment, machine, device or thing or work in a manner that may endanger himself, herself or any other worker; or

            (c) engage in any prank, contest, feat of strength, unnecessary running or rough and boisterous conduct.

          • Follow Magna’s Code of Conduct and Ethics and related compliance policies.
          • Teardown assembled parts and monitor weld quality on all production.
          • Record statistical data from teardown and ensures it corresponds to specifications.
          • Notify Supervisor and/or Weld Technician of any welds not meeting specifications.
          • Organize the use of available defective parts for weld test.
          • Communicate with Press Shop, Rework, and Material Handling, in an effort to maintain a good supply of useable defective parts for teardown.
          • Mark or paint defective parts for teardown to ensure defective parts do not reach customer.
          • When filling in for production technician, utilizes ANDON when encountering a quality issue or problem that hinders the completion of standardized work during cycle time.
          • Respond to ANDON calls in a timely manner to address and diagnose issues. Coordinate containment of any suspect parts.
          • Maintain safety standards of equipment and work area and perform all duties in a safe manner in accordance with the safety policies of Karmax.
          • General maintenance such as keeping area clean and filing.
          • Perform other duties as required.
          • +
          +
          +
          +

          Key Qualifications/Requirements

          +
          +

          EDUCATION:

          +
          • Grade 12 Diploma or GED
          • +
          +

          +

          SKILLS:

          +
          • Excellent Verbal and Written Communication Skills
          • Good mathematical, analytical and organizational skills
          • Able to work in various locations within and outside the plant.
          • +
          +
          +
          +
          +

          What Heart Lake Offers

          +
          • Weekly pay via direct deposit
          • Overtime after 40 hours worked
          • Company paid Medical and Dental Benefits and an option for enhanced flexible benefits
          • Magna will contribute an amount equal to 3% of regular earnings every week to your retirement savings (MBC program)
          • Profit sharing
          • Matched GRRSP
          • Company paid Life Insurance and Accidental Death and Dismemberment (AD&D)
          • Safety shoe allowance, prescription safety glasses allowance, custom molded earplug allowance
          • Company paid uniforms
          • Company BBQ, holiday parties and company events
          • Corporate Social Responsibility initiatives
          • Annual Employee Opinion Survey
          • Magna Service Award Program
          • Magna Scholarship Program
          • Group Rogers and Bell cellphone data plan available
          • Subsidized cafeteria
          • Educational Assistance Program
          • Employee Discounts: new vehicles, amusement parks, etc.
          • You get to work with a FANTASTIC Team at a state-of-the-art Electric Vehicle Battery Enclosure Plant
          • +
          +
          +
          +

          Additional Information

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

          Awareness. Unity. Empowerment.

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

          -
          ",,https://jobs.magna.com/job/Assembly-Tool-Maker/571716017/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-08-02T16:04:03.308Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/242608269-assembly-tool-maker-at-magna-international,https://jobs.magna.com/job/Assembly-Tool-Maker/571716017/,draft,2023-07-03T16:04:03.308Z,import-xml-feed:Scrapy-Scraper,,,,,,, -835e7ba8-fe00-4d7b-a830-786bf1aac47c,236957198,BMO Financial Group,"Senior Analyst, Risk Management",on_site,"Ontario, Canada",2023-06-17T01:42:02.982Z,"
          -

          Address:

          250 Yonge Street

          -

          -

          Job Family Group:

          Data Analytics & Reporting

          -

          -

          -

          -

          Supports the execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies. Supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance and minimizes risk.

          +
          ",,https://jobs.magna.com/job/Brampton-Cut-N-Etch-Technician-ONTA-L6R-0A9/571594117/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-08-09T16:04:02.401Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/245220831-cut-n-etch-technician-at-magna-international,https://jobs.magna.com/job/Brampton-Cut-N-Etch-Technician-ONTA-L6R-0A9/571594117/,draft,2023-07-10T16:04:02.401Z,import-xml-feed:Scrapy-Scraper,,,,,,, +52ed7fdb-2b9a-48b2-a358-7343289242a4,237206032,Magna International,Internal Auditor,on_site,"Aurora, ONTARIO, CA, L4G 0G9",2023-06-17T16:04:03.585Z,"
          +
          +

          Role Summary

          +
          +

          +

          The Auditor performs independent audits on all aspects of Magna’s operations as contained in our Internal Audit Charter to ensure that established policies and procedures are followed, and operational and financial standards are met.

          +
          +
          +
          +

          Key Responsibilities

          +
          +

          +
          • Performs financial, compliance & other audit activities of business units within specified time periods
          • Prepares audit files and pre-audit work, including audit communications with Auditees
          • Documents work performed to department standards and IIA Professional Practice standards and provides support for an informed, objective opinion of risk
          • Evaluates audit results to determine the quality and effectiveness of internal operating policies, internal controls, regulatory requirements, administrative procedures & reporting practices
          • Proactively identifies risks or gaps in internal controls and provides recommendations to mitigate risks and improve internal controls
          • Identifies opportunities to improve business processes
          • Reports audit findings and recommendations to management. Drafts formal, clearly written and meaningful audit reports summarizing findings, conclusions and recommendations
          • Follows up with stakeholders on any recommendations or corrective actions to internal or external audits to ensure continued process improvement & compliance, when required
          • May provide assistance in performance of investigations of improper activities including potential fraud matters
          • Self-develops skills & experience in relevant audit specialities
          • Other Duties, as may be assigned from time to time by Internal Audit department management
          • +
          +
          +
          +
          +

          Key Qualifications/Requirements

          +
          +

          +

          Knowledge and Education

          +

          +
          • A University degree in business or information systems is required
          • CPA or CIA designation
          • Additionally, CISA or CFE designations are considered an asset
          • +
          +

          +

          Work Experience

          +

          +
          • Minimum of three years of financial, operational and compliance (including Sarbanes-Oxley) audit experience in a manufacturing environment, preferably in the automotive sector
          • +
          +


          Skills and Competencies

          +

          +
          • Ability to communicate with stakeholders in a professional and confidential manner while maintaining composure and tactfulness in stressful and potentially adversarial situations
          • Excellent written and oral communication skills in English
          • Strong problem-solving and analytical skills
          • Proficient with Microsoft Office products; including advanced Excel skills
          • Good working knowledge of SAP R/3 or SAP S/4 HANA and familiarity with other ERP solutions such as QAD, CMS and Trans4M would be an asset
          • +
          +


          Work Environment

          +

          +
          • Travel should be expected 75% of the time, with possible travel changes due to unplanned demands. Approximately 25-50% of this should be expected to be overnight travel depending on season. Ability to travel in the U.S. and eligibility to obtain a U.S. work visa will be a requirement.
          • +
          +
          +
          +
          +

          Additional Information

          +
          +

          +

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

          +

          +

          Special Requirements

          +

          +

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

          +
          +
          +
          ",,https://jobs.magna.com/job/Internal-Auditor/554403817/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-17T16:04:03.585Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206032-internal-auditor-at-magna-international,https://jobs.magna.com/job/Internal-Auditor/554403817/,draft,2023-06-17T16:04:03.585Z,import-xml-feed:Scrapy-Scraper,,,,,,, +3cdebeb7-c4c9-499c-a0e3-457207ce56bc,239939847,RBC,"Lead Data Scientist, Fraud Data Science and Innovation",on_site,"Toronto, ON, Canada",2023-06-27T01:51:02.868Z,"
          +

          Come Work with Us!

          At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

          Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

          +

          Job Title

          Lead Data Scientist, Fraud Data Science and Innovation

          +

          +

          Job Description

          +

          What\'s the opportunity?

          +

          You will lead Fraud Management(FM) Machine Learning(ML) and Artificial Intelligence(AI) advancements, develop strategy for predictive fraud detection ML models and explore ML/AI technique application. You will set standards for ML model development, ensuring consistency, accuracy and repeatability, collaborate with partners and work with Fraud Strategy, Fraud IT and Enterprise Model Risk Management(EMRM) on emerging fraud risks, solution design and model validation frameworks. You will fully comprehend the technical architecture supporting the Fraud decisioning ecosystem and how it supports DSA detection requirements. As a Subject Matter Expert (SME) on FM initiatives, you will collaborate with stakeholders at varying levels of seniority.

          +

          +

          What will you do?

          +
            +
          • Lead the development and implementation of the Data Science Machine Learning (ML) strategy and act as key point of contact for all ML models
          • +
          • Develop supervised fraud detection models and explore opportunities for unsupervised/anomaly detection/NLP applications
          • +
          • Plan timelines, resource allocation, standards and best practices for ML model development with DS&I and be responsible for technical validation exercises for new model deployments
          • +
          • Collaborate effectively with partners in Fraud IT on continuous improvement of the fraud detection ecosystem, understanding the technical requirements and their impact on the business users in DSA
          • +
          • Work with EMRM to enable efficient model validation and develop a strong relationship with Fraud Strategy partners focused on identifying emerging fraud risks and how the application of ML can minimize these risks
          • +
          • Identify opportunities and develop solutions to automate/enhance processes through analytical tools and workflows; and utilize technology tools to build the most effective solution; Python, R, Spark, PySpark, etc.
          • +
          • Provide thought leadership to support Fraud Management’s key priorities where there is a dependence on data analytics, machine learning or data engineering
          • +
          • Leverage expertise with ML and programming to provide support to the rest of the DSA team as required
          • +
          +

          +

          What you need to succeed

          +

          Must have:

          +
            +
          • 5+ years of experience in Machine Learning, data mining and statistics
          • +
          • Strong practical knowledge of, and proven experience with, analytical software packages and programming languages: Python, R, SQL, etc.
          • +
          • Working knowledge of Big Data Framework (Hadoop, etc.)
          • +
          • Strong understanding of version control (Git/GitHub)
          • +
          • Strong problem solving, research and quantitative skills
          • +
          • Exceptional time management and organizational skills, ability to manage multiple projects simultaneously and prioritize workload effectively
          • +
          • Proven ability to perform complex data analysis on large volumes of data
          • +
          • Professional oral and written communication and presentation skills, including the ability to effectively communicate analytical recommendations to both technical and non-technical audiences.
          • +
          • Knowledge of Canadian banking and payment industry, payments transaction data and financial fraud
          • +
          • Bachelor’s degree in a quantitative discipline
          • +
          +

          +

          Nice to have:

          +
            +
          • Graduate degree in a quantitative discipline
          • +
          • Experience with Docker and Kubernetes
          • +
          • Experience with Cloud technologies (Azure, AWS, OpenShift)
          • +
          • Prior experience in fraud detection and data analytics
          • +
          +

          +

          What’s in it for you?

          +

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

          +
            +
          • A comprehensive Total Rewards Program
          • +
          • Leaders who support your development
          • +
          • Ability to make a difference and lasting impact
          • +
          • Opportunity to take on progressively greater accountabilities
          • +
          +

          +

          +

          +

          Job Summary

          +

          Address:

          TORONTO, Ontario, Canada

          City:

          CAN-ON-TORONTO

          Country:

          Canada

          Work hours/week:

          37.5

          Employment Type:

          Full time

          Platform:

          Personal and Commercial Banking

          Job Type:

          Regular

          Pay Type:

          Salaried

          Posted Date:

          2023-06-08

          Application Deadline:

          2023-06-23
          +

          Inclusion and Equal Opportunity Employment

          +

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

          +
          +

          Join our Talent Community

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

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

          +
          ",,https://jobs.rbc.com/ca/en/job/R-0000061221/Lead-Data-Scientist-Fraud-Data-Science-and-Innovation,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-07-05T01:56:04.198Z,False,0,2,2,https://talenthub.vectorinstitute.ai/jobs/239939847-lead-data-scientist-fraud-data-science-and-innovation-at-rbc,,draft,2023-06-27T01:51:02.868Z,import-xml-feed:RBC-Job-Feed,,,,,,, +cabb6e42-0da3-4995-b1b8-bdf99b9e02ea,240226730,Scotiabank,"Senior Associate, Research Analytics & Institutional Client Strategy",on_site,Canada : Ontario : Toronto,2023-06-27T15:52:02.423Z,"

          +

          +

          +

          +

          Requisition ID: 174805

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

          +

          +

          About the Team:
          At Scotiabank, research is a key driver of our Global Equity platform. We specialize in the Canadian market, and we also supply targeted international research covering the United States and Latin America. Our top-ranked teams generate value-added equity ideas and themed publications. As well, we are constantly looking for ways to bring new products to market and provide clients with valuable research ideas and insights. Our products include daily company-specific investment views, monthly and quarterly sector updates, in-depth fundamental research reports, portfolio analysis and recommendations, and equity strategy commentary.

          +

          Position Highlights:
          The Research Client Services Team (RCST) is responsible for supporting the Equity Research department by providing valuable internal analytical insights to management and research analysts for strategic decision-making and ensuring adherence to compliance requirements of the MiFID II regulation. As a member of the RCST, this position will assist in maintaining and developing the internal analytics capabilities of the team. This position will also assist with the administration of client research agreements and work closely with research analysts, senior management, and compliance teams as part of the overall MiFID II compliance framework.

          +

          Is this role right for you?

          +
          • Produce periodical analytical summary reports for the Research Management team
          • Create analysis and reporting tools on an ad hoc basis to support internal data and analytical requests
          • Create and maintain dashboards and reports that can be leveraged by users to find insights
          • Analyze client accounts to identify outreach opportunities and gauge account profitability
          • Work with Research Analysts to improve the format and delivery of their product
          • Understand business processes to analyze, interpret, and advise staff on analytical findings
          • Collaborate with stakeholders to ensure effective use of reporting and analysis, and provide support, if needed
          • Understand and incorporate technology best practices with a primary focus on .NET and SQL
          • Liaise with other internal analytics teams to ensure data accuracy and consistency across the firm
          • Diligently perform quality assurance and assess operational and reputation risk
          • Monitor and analyze buyside client consumption of the research product
          • Respond to internal and external inquiries on the research product and agreements
          • Issue invoices for research clients and track payments with internal Finance teams
          • +
          +

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

          +
          • Technical mindset with an undergraduate degree in Computer Science or Engineering is required
          • Excellent command of Microsoft Office, with an emphasis on Excel is required
          • Proven experience in SQL and .NET is required
          • Working knowledge of Angular and Python would be an asset
          • Strong problem-solving and analytical skills
          • Excellent written and verbal communication skills
          • Attention to detail and time management skills
          • Ability to produce meaningful results from data
          • Proven experience consolidating and analyzing different data sources
          • Ability to work collaboratively within a cross functional team environment
          • Ability to succeed in a dynamic and fast-paced environment
          • +
          +

          +

          Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Senior-Associate%2C-Research-Analytics-&-Institutional-Client-Strategy/568224817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-03T15:57:04.998Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/240226730-senior-associate-research-analytics-institutional-client-strategy-at-scotiabank,https://jobs.scotiabank.com/job/Senior-Associate%2C-Research-Analytics-&-Institutional-Client-Strategy/568224817/,draft,2023-06-27T15:52:02.423Z,import-xml-feed:Scotiabank,,,,,,, +7d5726b8-4396-4400-ad48-66dda8769dab,237206033,Magna International,Materials Supervisor,on_site,"Woodbridge, ONTARIO, CA",2023-06-17T16:04:03.886Z,"
          +
          +

          QUALIFICATIONS NECESSARY TO DO THE JOB

          +

          • Post-secondary education or equivalent related to Materials Management & Supply Chain
          • Excellent planning, interpersonal/leadership, team building, and organizational skills
          • Highly adaptable, motivated, analytical/data driven, detail-oriented, and able to work autonomously
          • Open-minded and decisive problem solving skills
          • Excellent communication skills (English both written and verbal)
          • Ability and desire to problem solve, multi task with cross functional team, & prioritize
          • Ability to build relationships and work collaboratively and independently
          • Ability to work professionally under pressure
          • 5 years inventory management experience in a multi-site manufacturing environment with successful inventory reduction & cycle count program
          • 3 years Warehouse Management System experience (preferably Solidat)
          • Fully understands the working relationship between Inventory Control and MRP
          • Extensive Supply Chain Experience (raw material, purchase component, outside processor suppliers)
          • Strong Lean Manufacturing and process improvement experience
          • Experience with ERP systems preferably Trans4M/CMI
          • Committed to continuous improvement and learning
          • Proficient with Microsoft Office (Excel, Word, PowerPoint)
          • Capable of working with minimal supervision
          • Ability to interact effectively with all levels of the organization
          • Ability to respond to dynamic and changing environment
          • Support business requirements evenings and weekends, when required
          • Understanding of basic accounting principles

          +
          +
          +

          DESIRABLE ADDITIONAL QUALIFICATIONS

          +
          • APICS CSCP –Certified Supply Chain Professional or equivalent
          • Automotive background (preferably Magna)
          • Value stream mapping experience
          • 6 Sigma Black/Green belt
          • Experience maintaining ERP bill of materials (BOMs) and product routings
          • Canada & USA Customs experience
          • Knowledge of ISO-14001 and TS/IATF-16949 quality systems
          • Forklift/reach truck certification
          • AZ driver’s license
          • +
          +
          +
          +

          MAIN DUTIES AND ACTIVITIES OF JOB

          +

          • Work collaboratively with entire Mytox team to ensure we meet company goals
          • Developing, implementing, and managing proper procedures and processes to ensure high inventory accuracy (at part number/location detail and financial basis) for raw material, purchased components, WIP, and finished goods inventory in multi-site facilities
          • Implementing necessary strategies to meet and maintain department goals
          • Implement and refine effective Solidat Warehouse Management System
          • Ensure effective JIT inventory mix sustained at each appropriate location
          • Responsible for Material Analyst hiring, training, and overall performance
          • Committing to the leadership and development of team members while fostering a positive, collaborative work culture
          • Promoting and communicating lean management techniques
          • Attend Mytox APQP meeting, and provide timely information for program success
          • Monitoring daily department outcomes (achieve inventory turns, 100% customer delivery performance, prevent material related downtime and expedited freight)
          • Reporting on Key Performance Indicators in relation to department goals
          • Ensuring overall safety, quality, and effective performance of Inventory Control and Planning
          • Communicating effectively with suppliers (written and verbal) and purchasing team on a daily basis to achieve organizational objectives
          • Take leading role in implementing flawless customer product launch and effective engineering changes
          • Experience reconciling company inventory at outside processor facilities (remotely and on-site)
          • Conduct inventory cycle counts/physical inventory and/or BOM audits on site and at suppliers
          • Ensure inventory corrective actions are effective to ensure no repeat issues and read-across method is utilized
          • Ensure supplier release issues are resolved effectively
          • Maintain action plan to reduce slow moving inventory
          • Ensure proper FIFO rotation of inventory
          • Provide ongoing timely supplier performance feedback
          • Adheres to all Mytox policies and procedures including safety and environmental
          • Utilizes effective Housekeeping practices and 5S principles
          • Any other reasonable request by management

          +
          +
          +

          Awareness. Unity. Empowerment.

          +

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

          +
          +
          +

          Additional Information

          +
          +

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

          +

          +

          +

          #LI-WM1

          +
          +
          +
          ",,https://jobs.magna.com/job/Woodbridge-Materials-Supervisor-ONTA/562772317/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-17T16:04:03.887Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237206033-materials-supervisor-at-magna-international,https://jobs.magna.com/job/Woodbridge-Materials-Supervisor-ONTA/562772317/,draft,2023-06-17T16:04:03.886Z,import-xml-feed:Scrapy-Scraper,,,,,,, +a77cec8d-42f2-4383-b148-435c0cf05e44,247732678,Magna International,Advanced Quality Specialist,on_site,"Penetanguishene, ONTARIO, CA, L9M 1G8",2023-07-17T16:04:02.744Z,"
          +
          +

          Role Summary

          +

          Responsible for all aspects of Advanced Product Quality Planning (APQP) and effective change management for assigned program(s) and continuous improvements of all products/processes developed and produced at Techform.

          +
          +
          +

          Key Responsibilities

          +
          +

          Customer Support
          Lead/Participate/Approve Customer Production Part Approval Process (PPAP) supporting program timing
          • Ensures all Advanced Product Quality Planning (APQP) requirements are known/tracked/adhered to using planned milestones
          • Review Government Approvals required and develop Inspection Standard (where required)
          • Leads Plant trials for Engineering changes, Tool Moves and New Program Launches
          • Lead problem solving for applicable Launch quality concerns (pre-SOP ie. customer specific reports: 8D, 7 Step, 5 Phase, Is/Is Not, 6 Panel, etc.)
          • Participate in Warranty reviews (where applicable)
          • Manages applicable new model launch (pre-SOP) field support to ensure effective containment and timely closure of issues

          +

          Advanced Internal Activities
          • Coordinate and participate in Internal/Supplier Drawing Reviews
          • Prepare and complete Control Plans following MQS 7 control plan management
          • Prepare and complete component Receiving Inspection Matrix and Instructions
          • Develop Product Validation (PV) Plan (schedule) including reliability and confidence (R&C) requirements in accordance with Program timing
          • Develop, implement safe launch plans for new program launches
          • Participate in Process Failure Mode Effects Analysis (PFMEA) review and team sign off
          • Participate and verify BOM is correct and accurate during program launch
          • Facilitate supplier deviation requests (i.e. Supplier Request for Change Deviation SRCD’s) through closure with the supply base
          • Coordinate and participate in Early Supplier Involvement with Design and Purchasing
          • Adhere to all Platform Execution Process (PEP)/Program Planning requirements and expectations
          • Develop Customer attachment/contact point list
          • Coordinate and ensure signoff / concurrence of control plan / customer attachment point checklist
          • Review Geometric Dimensioning and Tolerancing (GD & T), requirements (Finished Goods / Components)
          • Prepare and present Launch Readiness panels (LRR)
          • Participate in mapping including Critical Characteristics review and ensure compliance
          • Participate in Document Linkage Review
          • Review lessons learned database and add as necessary
          • Establish Supplier PPAP timing and review/approve on time prior to Product Validation requirements (PV testing)
          • Supports pre-production builds

          +

          Testing
          • Conduct PV test fixture verification and set up review
          • Ensure proper level test parts are built and delivered to test lab (including safe launch)
          • Periodic review of in-process testing
          • Post test set-up and results signoff
          • Test Incident Report (TIR) response and resolution for PV
          • Carry out annual validation testing as required by customer
          • Leads TIR investigation, prepares 8D report and ensure timely closure of issues (PV)

          +

          Other
          • Participates in quality systems audits with customer and external auditors as required
          • Perform other duties as required

          +
          +
          +
          +

          Health and Safety Responsibilities

          +

          • Ensure all safety and non-safety rules and regulations are followed.
          • Ensure adherence to established quality and housekeeping standards.
          • Review and adhere to division health and safety, environmental, and quality standards, operating procedures, and policies.
          • Respond immediately to items brought to his/her attention with respect to hazards, defects or non-compliance issues.
          • Understand and uphold the policies that prohibit workplace violence and harassment.
          • In addition to the above, the duties include those specified under the Occupational Health & Safety Act .

          +
          +
          +

          Performance Measures

          +

          •Meet all critical deliverables as outlines in the APQP and PEP process to support program/project timing
          • PV Testing to plan
          • Execute all programs/projects within the established budget
          • PPAP on time to program commitment date (s)
          • ECR/Quote completion
          • TIR response
          • 48 hours
          • Zero supplier responsible launch concerns (New Model Launch)
          • Ensure timely communication to all departments involved
          • Adherence to all Techform policies and guidelines

          +
          +
          +

          Qualifications and Skills

          +

          • Completion of community college diploma/certificate.
          • 3 to less than 5 years of work related experience.
          • Completion of a post-secondary education program in mechanical/quality engineering
          • ASQC certification as a quality engineer (CQE) preferred
          • Tier I automotive experience preferred

          +
          +
          +

          Core Competencies

          +

          •Multi-Tasks
          • Persuades and Influences Others
          • Results Orientated
          • Accepts Criticism
          • Adaptable
          • Analytical
          • Approachable
          • Assertive
          • Dependable
          • Driven
          • Independent
          • Responsible
          • Team – Worker
          • Time Conscious
          • Works with Minimal Supervision
          • Holds Others Accountable
          • Maintains Discipline
          • Makes Decisions
          • Manages Change
          • Presents to Others
          • Trains Others
          • Analyses Data
          • Attends to Details
          • Communicates Effectively
          • Confronts Issues
          • Copes with Deadlines
          • Exercises Judgment
          • Follows Through
          • Mathematical Aptitude

          +
          +
          +

          Additional Information

          +

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

          +
          +
          +

          Awareness. Unity. Empowerment.

          +

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

          +
          +
          ",,https://jobs.magna.com/job/Penetanguishene-Advanced-Quality-Specialist-ONTA-L9M-1G8/571982317/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-08-16T16:04:02.744Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/247732678-advanced-quality-specialist-at-magna-international,https://jobs.magna.com/job/Penetanguishene-Advanced-Quality-Specialist-ONTA-L9M-1G8/571982317/,draft,2023-07-17T16:04:02.744Z,import-xml-feed:Scrapy-Scraper,,,,,,, +27cb385d-7d91-43cc-9622-ac6fa32beba7,243217455,Avidbots,Business Development Representative,on_site,"Ontario, Canada",2023-07-05T02:18:05.127Z,"
          +

          At Avidbots, we believe in solving real world problems with autonomous cleaning robotic solutions to unlock humanity’s potential. Neo is our current groundbreaking autonomous floor scrubbing robot that enhances facility cleanliness around the world empowering reallocation of human capital to higher priority focuses… and we’re just getting started!

          +

          Headquartered in Kitchener, ON, Canada, we are an employee-focused organization that has been certified a Great Place to Work® consecutively for the last 4 years and one of Deloitte\'s Fast 500 (2021).

          +

          Now is your opportunity to join a fast-growing technology company built on teamwork, innovation, and boundless ambition!

          +

          Check Neo out!

          +


          +

          This opportunity is a hybrid/remote position – 100% working from home or with the option to go into our Kitchener HQ!

          +


          +

          How you will make a difference

          +
            +
          • Articulate the Avidbots value proposition (to business and technical personas), to assess customer requirements and buying interest
          • +
          • Research target accounts, define buying personas, identify key players, and gather contact information
          • +
          • Plan and execute outbound email campaigns, working closely with Marketing
          • +
          • Conduct effective follow-up on prospect accounts
          • +
          • Understand and effectively communicate the Avidbots product to senior level executives
          • +
          • Qualify sales opportunities, and facilitate prospect introductions for our Account Executives
          • +
          • Manage contact data, sales campaigns, leads, and opportunities in Salesforce and other sales/marketing automation tools
          • +
          +


          +

          As demand for Neo accelerates, we are growing our Sales Team! We are hiring a Business Development Representative to seek new business opportunities by prospecting and driving new leads in your respective territory.

          +


          +

          If you are tenacious and have passion to learn and grow in the sales field, then you just might be the professional we’re looking for!

          +


          +

          Preferred qualifications & key skills

          +
            +
          • Post secondary education in business or related field
          • +
          • Hands-on experience with multiple sales techniques (including cold calls)
          • +
          • Track record of achieving sales quotas
          • +
          • Strong verbal and written communication skills
          • +
          • Ability to build and maintain relationships
          • +
          • Ability to work independently and as part of a team
          • +
          +


          +

          Minimum qualifications

          +
            +
          • A desire to learn and grow in the sales field
          • +
          • 1+ years of professional experience working in an outbound B2B sales environment
          • +
          • Successfully complete pre-employment onboarding requirements that may include: criminal/civil background checks and motor vehicle records search
          • +
          +


          +

          ***Applicants must be currently authorized to work in Canada for any employer

          +


          +

          CAD: Avidbots is an equal opportunity employer committed to building a diverse workforce. As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. We offer a professional working environment and culture and believe that work / life balance is critical to ensure the happiness/well-being of our people.
          Upon request, Avidbots will provide reasonable accommodation for applicants with disabilities throughout the recruitment and selection process.

          +


          +

          #INDAV

          +
          ",,https://avidbots.bamboohr.com/careers/682,feed-importer@jobboard.io,,,,2023-08-04T02:18:05.127Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243217455-business-development-representative-at-avidbots,,draft,2023-07-05T02:18:05.127Z,import-xml-feed:Selenium-Scraper,,,,,,, +813bb90c-031d-4682-8efe-4be43b4815fe,237622614,Scotiabank,"Senior Analyst, Business Semantics Management",on_site,Canada : Ontario : Toronto,2023-06-19T15:52:03.017Z,"

          +

          +

          +

          +

          Requisition ID: 179857

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

          +

          +

          Purpose:

          +

          +

          The Customer Insights, Data & Analytics (CIDA) team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is optimizing efficiency in understanding, searching and accessing data & analytics, which in turn improves the accuracy and speed of decisions. The aim is to vastly improve data literacy by describing data & analytics in business terms; and connect them to physical metadata, data & analytics assets to improve data search and consumption experiences.

          +

          +

          As part of the Business Semantics Management team within the Data & Analytics Office, the candidate will work with key analytics and business stakeholders to create Scotiabank Business Information Model (SBIM), which captures business vocabularies linked with data & analytics assets that exist across the organization. The Senior Analyst, Business Semantics Management role requires strong knowledge in information management and teamwork skills. Any hands-on experience in working with data & analytics, as well as business knowledge in banking would be considered a strong asset.

          +


          What's in it for you?

          +

          +

          • Play a key role in establishing the long-term data & analytics vision and contribute to the development of the Bank’s optimal data & analytics search experience
          • Opportunity to make an impact in the digital transformation of Scotiabank
          • Exposure across business lines, function groups and technology areas where data & analytics plays a critical role
          • A compensation program with competitive salary, opportunities for annual performance incentives based on performance thresholds, a competitive benefits program and continuing education programs

          +

          +

          Requirements & Qualifications:

          +

          +

          • University degree in business or relevant STEM discipline (Science, Technology, Engineering and Mathematics)
          • Deep experience managing data and/or analytics projects would be a strong asset
          • Graduate degree in Information Management / Knowledge Modeling area would be an asset
          • Subject area experience with Financial Industry products and services preferred: Retail Banking/Lending, Commercial Banking/Lending, Capital Markets, and Wealth Management
          • Experience in Google Cloud ecosystem would be an asset
          • Experience with collaboration tools such as Confluence

          +

          +

          Accountabilities:

          +


          • Assists in the collection of Business Terms, Data Elements for the assigned business domains
          • Assists in the organization of collected business metadata content at the enterprise and line of business levels
          • Participates in the development and roll-out of the business semantics management strategy & Scotiabank Business Information Model (SBIM)
          • Supports the resolution of day-to-day SBIM related questions and user concerns
          • Supports the execution of Scotiabank Business Information Model (SBIM) marketing and execution plans
          • Supports the SBIM related user training and Q&A sessions
          • Supports other Data & Analytics initiatives that require migration or enhancement of business metadata assets
          • Supports the creation, review & maintenance of Scotiabank Data Policy, Data Standards and Playbook
          • Supports the Data & Analytics Office audit, regulatory risk, and OSFI engagements, as required

          +

          +

          +

          Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Senior-Analyst%2C-Business-Semantics-Management/571335117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-03T15:57:04.998Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237622614-senior-analyst-business-semantics-management-at-scotiabank,https://jobs.scotiabank.com/job/Senior-Analyst%2C-Business-Semantics-Management/571335117/,draft,2023-06-19T15:52:03.017Z,import-xml-feed:Scotiabank,,,,,,, +c3e42885-3b63-4f5c-a9c6-1097477a59b0,237381199,Magna International,IoT Developer - Industry 4.0,on_site,"Brampton, ONTARIO, CA, L6R 0A9",2023-06-18T16:04:03.041Z,"
          +
          +

          Role Summary

          +
          +

          Transform today’s manufacturing by developing standard PLC and equipment programming concepts to support Magna Structures Heart Lake implementing an IoT architecture. The IoT Developer would be responsible for developing software to support digitizing of production lines and implementing streaming machine controls.

          +

          **The successful candidate for this role will work at our new Magna Structures Heart Lake facility located in Brampton, ON**

          +
          +
          +
          +

          Key Responsibilities

          +
          +

          We are building fully connected systems to achieve operational excellence – help us transform today’s manufacturing by Developing new techniques to connect legacy equipment to modern infrastructure.

          +
          • Managing code deployments, fixes, updates and related processes
          • Support multiple on-going projects in a fast-paced environment
          • Explain technical concepts and analysis implications clearly to a wide audience and be able to translate business objectives into actionable analysis
          • Creating IoT applications that run on-premise and in the cloud
          • Brainstorming for new ideas and ways to improve development and delivery
          • Developing KPIs, metrics, and other monitoring tools to track I4.0 production environments
          • Providing detailed specifications for proposed solutions including materials, external services and internal resources required
          • Working with source control tools (Confluence, GitHub, etc.)
          • Actively troubleshooting any issues that arise during testing and production
          • Performing additional duties as assigned
          • Acting with honesty and integrity, and make ethical business choices in accordance with Magna’s Compliance Policies and Procedures
          • +
          +
          +
          +
          +

          Key Qualifications/Requirements

          +
          +


          KEY QUALIFICATIONS/REQUIREMENTS:

          +
          • Degree/Diploma in Computer Science or related field of study
          • Minimum six plus (6+) years of related experience required
          • Strong knowledge of Industry 4.0 integration
          • Proven leader
          • +
          +

          +

          POSITION REQUIREMENTS:

          +
          • Understanding of multiple computer programming languages (ex: JavaScript, C#, Python, C++, Java)
          • Experience with databases and different types of data storage
          • Strong experience with relational databases like SQL Server, MySQL and Oracle
          • In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework
          • Experience with the MQTT protocol
          • Time and project management skills, with the capability to prioritize and multitask as needed
          • Experience with capability studies (such as CPK, Gage R, and Gage R&R)
          • Knowledge of different project management methodologies such as Waterfall and Agile
          • Knowledgeable of statistical methods such as regression, probability analysis, risk analysis, statistical process control, and clustering is desired
          • Strong analytical and problem-solving ability to design an effective solution
          • Familiarity with BI technologies (ex., Microsoft Power BI, AWS Quicksight, Qlikview)
          • PLC programming background in Siemens and Rockwell controllers among others
          • Robot programming background (such as Fanuc, ABB, Kuka,etc…)
          • +
          +
          +
          +
          +

          What Heart Lake Offers

          +
          • Weekly pay via direct deposit
          • Overtime after 40 hours worked
          • Company paid Medical and Dental Benefits and an option for enhanced flexible benefits
          • Magna will contribute an amount equal to 3% of regular earnings every week to your retirement savings (MBC program)
          • Profit sharing
          • Matched GRRSP
          • Company paid Life Insurance and Accidental Death and Dismemberment (AD&D)
          • Safety shoe allowance, prescription safety glasses allowance, custom molded earplug allowance
          • Company paid uniforms
          • Company BBQ, holiday parties and company events
          • Corporate Social Responsibility initiatives
          • Annual Employee Opinion Survey
          • Magna Service Award Program
          • Magna Scholarship Program
          • Group Rogers and Bell cellphone data plan available
          • Subsidized cafeteria
          • Educational Assistance Program
          • Employee Discounts: new vehicles, amusement parks, etc.
          • You get to work with a FANTASTIC Team at a state-of-the-art Electric Vehicle Battery Enclosure Plant
          • +
          +
          +
          +

          Additional Information

          +

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

          +
          +
          +

          Awareness. Unity. Empowerment.

          +

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

          +
          +
          ",,https://jobs.magna.com/job/Brampton-IoT-Developer-Industry-4_0-ONTA-L6R-0A9/570436117/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-18T16:04:03.042Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/237381199-iot-developer-industry-4-0-at-magna-international,https://jobs.magna.com/job/Brampton-IoT-Developer-Industry-4_0-ONTA-L6R-0A9/570436117/,draft,2023-06-18T16:04:03.041Z,import-xml-feed:Scrapy-Scraper,,,,,,, +3b73c040-638d-462e-9cc1-6231658af44c,242607573,TD Bank Group,Business Information Management Specialist,on_site,"Toronto, ON",2023-07-03T15:53:02.165Z,"
          +

          Company Overview

          +
          +

          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

          +

          Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

          +
          +

          +

          Department Overview

          +
          +

          Business Information Management (BIM) at TD is part of a creative, enterprise-wide data and analytics ecosystem. Roles in BIM are highly professional and valued, specialized yet inter-connected and focused making the availability of business information to designers, developers and decision-makers a priority, all with a united purpose to serve customers and continually build a better bank.

          +

          We’re looking for analytical and agile professionals who can merge and translate data into technology and business information, serving today’s business needs and setting in motion TD’s longer-term goals and strategic objectives.

          +

          If you get data, its power and potential, we think you’ll love working at TD, where data knows no bounds and where your professional expertise will help to drive the business forward and take your own career to new heights.

          +
          +

          +

          Job Description

          +
          +

          Are you a highly-seasoned data professional, equipped with both conceptual and practical expertise in business information management? If so, this role offers a hands-on and high-career growth opportunity to provide business technical leadership across a broad range of information management functions to support various areas of data and analytics.

          +

          Enjoy working with colleagues and project teams? In this specialist role you’ll work closely with various technology and project teams to understand business data and provide analysis and requirements that ensure alignment with overall project and program design and data management standards.

          +

          As a Business Information Management Specialist, you will:

          +
            +
          • Be the primary authority as a senior lead by bringing master level expertise and knowledge on a diverse range of tasks and is relied upon to coach others
          • +
          • Analyze and understand business and data requirements to develop complete business solutions (e.g. analysis of data models, entity relationship diagrams, data lifecycle management, governance, lineage, metadata and reporting elements)
          • +
          • Develop business requirements; design and implement complex business data information management frameworks
          • +
          • Apply automation and innovation on data platforms and on new development projects / initiatives
          • +
          • Conduct a range of data analyses, demonstrating your in-depth experience with very large datasets and big data technologies; assessing business information-related data requirements aligned to business needs and for specific data platforms, applications systems and servers
          • +
          • Partner and collaborate with business and technology partners to resolve data / application issues and ensure requirements delivery and compliance (e.g. with enterprise framework, methodologies, financial controls, and other requirements)
          • +
          • Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality and innovation and, ensure timely communication of issues/points of interest
          • +
          +
          +

          +

          Requirements

          +
          +

          What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

          +
            +
          • Undergraduate degree or technical certificate
          • +
          • Seven (7) or more years relevant experience from a business administration, statistical, mathematical, scientific or financial background
          • +
          • Sound conceptual knowledge in your area of specialty
          • +
          • Fluent multiple programming languages
          • +
          • Expert level analytical and problem-solving skills
          • +
          • Advanced knowledge of various data sources, tools and technologies used in preparing summaries/reports
          • +
          • In-depth knowledge of competitor and market trends
          • +
          • Proficient to analyze, organize and prioritize work while meeting multiple deadlines
          • +
          • Expertise in using analytical software tools, MS Office, data analysis methods and reporting techniques
          • +
          • Proficient to work cooperatively and independently, communicate effectively (both speaking and writing), follow instructions/direction, and help building positive relationships across teams and functions
          • +
          • Act as a brand champion for our business area / function and TD, both internally and externally
          • +
          +
          +

          +

          Additional Information

          +
          #LI-Hybrid
          +

          +

          Hours

          +
          37.5
          +

          +

          Inclusiveness

          +

          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

          +

          +
          ",,https://jobs.td.com/en-CA/jobs/18672815/business-information-management-specialist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-08-02T15:53:02.177Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/242607573-business-information-management-specialist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18672815/business-information-management-specialist-toronto-ca/,draft,2023-07-03T15:53:02.165Z,import-xml-feed:TD-Bank-Group---Job,,,,,,, +7ae1bbeb-cbf4-4e8c-b722-151e41b0ad05,246390839,OMERS,"Digital Product & Community Specialist, National",on_site,"Ontario, Canada",2023-07-14T02:18:02.599Z,"
          +

          Why join us?

          +

          +

          Are you looking to join an innovative, global real estate company who builds communities and connects people to exceptional places? If so, we would love to tell you our story.

          At Oxford, our culture is truly one of a kind. Across business lines and around the world, we embrace the complex and tackle opportunities with speed and agility. We are ambitious and humble, forward looking and service-focused. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live. We believe that what is good for the environment is good for business. Together we deliver exceptional experiences to our over 2 million daily customers.

          +

          +

          +

          +

          +

          We are looking for a highly motivated Digital Product & Community Specialist to join our team at Head Office. Reporting to the Marketing Manager, in this role, you will support the retail team in the day-to-day operations.

          +
          +

          +

          You will be a key member of an engaged, high-reaching team – part of a world-class, winning culture that prioritizes people development and focuses on long-term growth. We take pride in leading the industry by earning respect through every interaction, every day. We go above and beyond to protect and grow relationships by anticipating needs, being honest and considerate, and valuing tenants as genuine partners.

          +

          +

          As a member of this team, you will be responsible for building and cultivating the community of adopters for all digital products.

          +
          • Executing local engagement strategies aligned to KPI’s of each product

          +
          +
          +
            +
          • Collaborating with local and national colleagues to launch, on-board and off-board products as required.

          • +
          • As a member of the team, primarily responsible for on-the-ground promotion of initiatives, the Product Specialist will collaborate closely with Marketing Managers and SMBE’s to ensure that messaging, programs and metrics closely align with the strategy and marketing program built and maintained by national marketing strategies.

          • +
          +

          +

          Reporting to the Marketing Manager, The Digital Product & Community Specialist will support the user experience across the full cycle of the customer journey for all digital platforms and provide:

          +

          +
          +
          +

          (Expertise & Ownership)

          +
            +
          • Oversee the site performance of the retail tech stack

          • +
          • Be the primary community champion and lead for digital products at Head Office with colleagues, employees, tenants and shoppers

          • +
          • Be known as the best source of information for digital products

          • +
          • Host workshops and trainings promoting products and applications with centre employees, tenants and regional meetings where required

          • +
          +
          +
          +

          +

          (Collaboration)

          +
            +
          • Act as liaison with employees, tenants, specifically content owners and early adopters/end-users

          • +
          • Manage community engagement programs and on-the-ground activities related to the promotion of new products (launch & on-board)

          • +
          • Work with marketing team on execution of community marketing efforts as outlined in the marketing plan –promotion/adoption strategies.

          • +
          +
          +
          +

          +

          (Analysis & Evaluation)

          +
            +
          • Collaborate with Data, Insights team for monthly and quarterly reporting

          • +
          • Provide actionable monthly analytics insight to ensure goals and objectives are achieved

          • +
          • Responsible for regular cadence of QC & QA for all products

          • +
          +
          +
          +
            +
          • Reporting and follow up of issues management with each digital vendor.

          • +
          • Provide feedback and execute improvements based on learned experience to product manager

          • +
          • Create, monitor and evolve product feedback loop and share findings with national digital team

          • +
          • Collaborate with key stakeholders across the business/national team/steering committee/sponsor to share learnings

          • +
          +

          +
          +
          +

          What We’re Looking For

          +
            +
          • Minimum 2 year in digital/user experience/site optimization/digital community management type role

          • +
          • Post-secondary education in Business/Commerce or Marketing, Digital Marketing

          • +
          • Exceptional interpersonal skills highlighted by excellent verbal and written communication skills

          • +
          • Excellent leadership capabilities

          • +
          +
          +
            +
          • Knowledge of product feedback loop processes and project management tools

          • +
          • Excellent understanding of the evolving digital landscape and SEO best practices

          • +
          +

          +

          +

          +

          Our story:

          +

          Oxford Properties Group (“Oxford”) is a leading global real estate investor, asset manager and business builder. It builds, buys, and grows defined real estate operating business with world-class management teams. Established in 1960, Oxford and its portfolio companies manage approximately C$87 billion of assets across four continents on behalf of their investment partners. Oxford’s owned portfolio encompasses office, logistics, retail, multifamily residential, life sciences, hotels, alternatives and credit in global gateway cities and high-growth hubs. A thematic investor with a committed source of capital, Oxford invests in properties, portfolios, development sites, debt, securities, and real estate businesses across the risk-reward spectrum. Together with its portfolio companies, Oxford is one of the world’s most active developers with over 80 projects currently underway globally across all major asset classes. Oxford is owned by OMERS, the Canadian defined benefit pension plan for Ontario\'s municipal employees.

          +

          +

          For more information on Oxford, visit www.oxfordproperties.com

          +

          +

          +

          +

          OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

          +
          ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Digital-Product---Community-Specialist--National_JR-5162?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-08-13T02:18:02.599Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/246390839-digital-product-community-specialist-national-at-omers,,draft,2023-07-14T02:18:02.599Z,import-xml-feed:Selenium-Scraper,,,,,,, +2ac74a2c-718f-4707-8305-275a52e71344,243157716,Accenture,Data & AI Industry Leader - Public Services,on_site,"Toronto, ON, Canada",2023-07-04T19:15:45.835Z,"
          +

          Job Description

          +
          +

          Data & AI Industry Leader - Public Services

          +

          +

          Location: Ottawa/Toronto

          +

          +

          We Are:

          +

          +

          The people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Visit us here to find out more about Applied Intelligence.

          +

          +

          You Are

          +

          An expert at solving real-world challenges with data, analytics, AI and creativity. Yes, creativity! You know the theory and you have hands-on expertise from studies, experience and/or self-taught projects. As a senior manager working at Accenture you will work on a team with diverse clients and industries delivering solutions to help clients turn data into actionable insights that drive tangible outcomes, improve performance and help clients lead the market.

          +

          +

          +

          The work:

          +

          +

          · Interacts with senior management levels at a client and/or within Accenture, which involves negotiating or influencing significant matters.

          +

          +

          · Provides solutions to complex business problems for area(s) of responsibility where analysis of situations requires an in-depth knowledge of organizational objectives.

          +

          +

          · Manages large teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.

          +

          +

          · Be a subject matter advisor, that is regarded as a thought leader with immense breadth and depth of understanding of your space (including, but not limited to, trends, competitive landscape, emerging technologies).

          +

          +

          · Involved in setting strategic direction to establish near-term goals for area of responsibility.

          +

          +

          Has latitude in decision-making and determining objectives and approaches to critical assignments. Decisions have a lasting impact on areas of responsibility with the potential to impact outside areas of responsibility.

          show more show less
          +

          Qualifications

          +

          Here’s what you need:

          +

          +
            +
          • Minimum of 12 years of consulting or client service data delivery experience with a proven track record of making significant client impact and value creation

          • +
          • Minimum of 10 years of experience in a Data Delivery role working with senior client leadership, driving large scale transformations in the areas of data management including data governance, and data privacy

          • +
          • Minimum of 10 years with data technical solutions implementation, architecture design, evaluation, and investigation in a data environment

          • +
          • Minimum of 5 years of experience client-facing in the sales process which involves leading RFPs for complex data transformation projects

          • +
          • Minimum of 4-5 years in delivering data solutions on Cloud Data Platforms (specifically AWS, Azure, and/or GCP)

          • +
          +

          +

          Bonus points if:

          +

          +

          Strong technical skills in building out data privacy solutions in support of privacy policies for GDPR and CCPA.

          +

          Experience with Azure Cloud Service

          +

          Experience with microservices architecture and API-based development and deployment

          +

          +
          +

          Locations

          +
          Ontario - Ottawa, Ontario - Toronto
          +
          +
          +

          +Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements +

          +
          +

          Equal Employment Opportunity Statement

          +

          +

          All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

          +

          +

          Accenture is committed to providing veteran employment opportunities to our service men and women.

          +

          +

          Requesting An Accommodation

          +

          +

          Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

          +

          +

          If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

          +

          +

          Other Employment Statements

          +

          +

          Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

          +

          +

          The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company\'s legal duty to furnish information.

          +
          +
          +
          Share
          +
          Share
          +
          Job Link:
          Copy
          +
          +
          +
          ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00160325_en&title=Data+%26+AI+Industry+Leader+-+Public+Services,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2023-08-03T19:15:48.085Z,False,0,6,169,https://talenthub.vectorinstitute.ai/jobs/243157716-data-ai-industry-leader-public-services-at-accenture,,published,2023-07-04T19:15:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,No Degree,New Posting, +bcd7ed83-0c3e-4a3c-bf60-00877899947e,243156857,TELUS,Senior Technical Product Manager - SmartHome Data and AI Solutions,on_site,"Toronto, ON, Canada",2023-07-04T18:59:08.615Z,"

          Our team and what we’ll accomplish together:

          +

          +

          We’re a Platform Product Management team on a mission to build an innovative platform that empowers companies globally to simplify, unify, and transform the smart living experience for their customers. We focus on enabling our Platform as a Service (PaaS) customers to offer differentiated SmartHome products and rapidly scale in their market. Your expertise in platform product management and deep understanding of the smart home market will play a critical role in shaping the future of smart living globally.

          +

          +

          Press Release: Redefining the connected home

          +

          +

          What you’ll do:

          +

          +

          You will be at the forefront, enabling contextual & personalized product experiences through the power of Artificial Intelligence (AI), Machine Learning (ML). You will product manage our platform’s data offerings including our AI/ML pipeline, data insights and reporting capabilities for our PaaS clients and core data infrastructure. You will collaborate closely with cross-functional teams, including engineering, privacy, regulatory, mobile app design, marketing, and operations, to create and manage the AI/ML and Data Lake roadmap. As part of an agile development program you will bring new features and capabilities to market by developing internal and external relationships that help drive detailed requirements and prioritizing the backlog for your development squad.

          +

          +

          Here’s how:

          +

            -
          • Breaks down strategic problems, and analyses data and information to provide insights and recommendations.
          • -
          • Acts as a resource for team members with less experience
          • -
          • Leads or assists with the maintenance, monitoring, measurement & reporting on the status of the risk reporting strategies performance.
          • -
          • Designs, develops, and implements reporting solutions to meet management and regulatory reporting requirements.
          • -
          • Provides advice and guidance to assigned business/group on implementation of analytical and reporting solutions.
          • -
          • Executes work to deliver timely, accurate, and efficient service for scheduled reporting production processes.
          • -
          • Supports the maintenance, monitoring, and measurement of key risk indicators to internal & external stakeholders.
          • -
          • Analyses data and information to provide risk-related insights and recommendations for the assigned portfolio e.g. capital at risk modeling, risk/return assessments, etc.
          • -
          • Supports the interpretation of internal and external policies and regulatory requirements relevant to the analytics and reporting mandate e.g. regulatory reporting.
          • -
          • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
          • -
          • Ensures strong governance and effective controls across risk reporting activities and information in accordance with enterprise standards.
          • -
          • Analyzes data and highlights significant information including variances, trends, opportunities and exposures; escalates as required.
          • -
          • Provides information and supports the process for internal and external audits.
          • -
          • Gathers and formats data into regular and ad-hoc reports, and dashboards.
          • -
          • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
          • -
          • Builds effective relationships with internal/external stakeholders.
          • -
          • Supports the maintenance of operational procedures and processes related to analytical and reporting processes.
          • -
          • Supports the development of tools and delivery of training focused on awareness and understanding of key data elements used in risk reporting.
          • -
          • Participates in the design, implementation and management of core business processes to ensure the accuracy of risk data used in reporting.
          • -
          • Organizes work information to ensure accuracy and completeness.
          • -
          • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
          • -
          • Exercises judgment to identify, diagnose, and solve problems within given rules.
          • -
          • Works independently on a range of complex tasks, which may include unique situations.
          • -
          • Broader work or accountabilities may be assigned as needed.

            Qualifications:

            -
          • -
          • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
          • -
          • Knowledge of risk management metrics, KPIs and KRIs.
          • -
          • Knowledge of industry trends and regulatory requirements for risk reporting.
          • -
          • Product knowledge for the designated business/portfolio.
          • -
          • Knowledge of risk management theory, processes and portfolio management reporting techniques.
          • -
          • Knowledge of reporting & analytics concepts and applications.
          • -
          • Knowledge of risk systems technology.
          • -
          • Technical proficiency gained through education and/or business experience.
          • -
          • Verbal & written communication skills - In-depth.
          • -
          • Collaboration & team skills - In-depth.
          • -
          • Analytical and problem solving skills - In-depth.
          • -
          • Influence skills - In-depth.
          • -
          • Data driven decision making - In-depth.
          • +
          • Develop our approach to data and AI/ML capabilities in alignment with the overall vision, goals, and opportunities
          • +
          • Collaborate with stakeholders to define data lake & AI/ML requirements, roadmap, and priorities
          • +
          • Partner closely with your squads from ideation and conceptualization to launch and post-launch optimization, ensuring timely delivery of high-quality platform services
          • +
          • Collaborate with engineering teams to translate platform requirements into technical specifications, ensuring the delivery of scalable, secure, and reliable PaaS solutions
          • +
          • Drive innovation and differentiation by identifying emerging trends, technologies, and market opportunities in the AI/ML, SmartHome and PaaS space
          • +
          • Define and monitor key performance indicators (KPIs) to evaluate the success and impact of your portfolio, making data-driven recommendations for continuous improvement
          • +
          • Collaborate with operations teams to ensure seamless integration, deployment, and ongoing maintenance of the PaaS platform across global markets
          • +
          +

          +

          +

          +

          +

          What you bring:

          +

          +
            +
          • Significant Product Management experience, ideally with SmartHome, IoT and/or Platform as a Service
          • +
          • Experienced working with agile teams as a SCRUM Product Owner and using Jira, Confluence or equivalents
          • +
          • Technology background with understanding of: IoT, Artificial Intelligence, Machine Learning, API and others
          • +
          • Understanding of data governance, regulatory & privacy best practices
          • +
          • Recognized for your thought leadership, problem-solving skills and willingness to take on new initiatives
          • +
          • An expert storyteller who can craft messages that land with any audience including presentations to senior leadership
          • +
          • Known for your excellent communication, and ability to foster an environment of collaboration, and idea sharing
          • +
          +

          +

          Great to have:

          +

          +
            +
          • Bachelor's degree in Business, Data Science or AI/ML, Computer Science, Engineering, or a related field, advanced degree preferred
          • +
          • AWS certifications
          • +
          +

          +

          If you are passionate about creating innovative products that help to solve real-world problems, and have a track record of delivering successful technical products and services, then we encourage you to apply for this exciting opportunity!

          ",,https://careers.telus.com/job/Toronto-Senior-Technical-Product-Manager-SmartHome-Data-and-AI-Solutions-ON/570913517/,aitalent@vectorinstitute.ai,https://www.telus.com/en/about/careers,,,2023-08-03T18:59:10.607Z,False,0,4,38,https://talenthub.vectorinstitute.ai/jobs/243156857-senior-technical-product-manager-smarthome-data-and-ai-solutions-at-telus,,published,2023-07-04T18:59:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, +df024f78-961a-4bf8-8006-1a8fd833ca06,243157013,TELUS, Data Scientist,on_site,"Toronto, ON, Canada",2023-07-04T19:06:18.380Z,"

          Description

          +

          +

          Join our team and what we'll accomplish together

          +

          +

          The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high-quality data, and a data-product-oriented culture while always keeping an eye on the horizon, preparing for the next big thing.

          +

          +

          We are entrepreneurial and live by our AI Manifesto of failing fast and being outcome vs technology-driven, creating value for our customers, team members, communities, and the environment. The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web visualizations, we do it all!

          +

          +

          Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

          +

          +

          Here’s the impact you’ll make and what we’ll accomplish together

          +

          +

          You’ll be a part of the team and journey that will transform the way we do business across various domains. You’ll collaborate with teams across the company, seeking out various data sources to help identify new business opportunities while championing data-driven decision-making and the accelerated adoption of AI.

          +

          +

          As a Data Scientist on the team, you will combine your expert knowledge of data science with your strong software development skills to automate and facilitate data exploration, analytics, machine learning model development, training and deployment and will leverage your experience in building reusable algorithms, functions and libraries.

          +

          +

          Here's how

          +
            +
          • Lead the iterative development, validation, and deployment of AI/ML models
          • +
          • Collaborate on end-to-end automation efforts required to bring models to production
          • +
          • Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
          • +
          • Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
          • +
          • Influence how we approach business challenges and opportunities by driving the adoption of a data-driven mindset
          • +
          • Develop re-usable code aimed at delivering on future goals faster and more reliably
          • +
          • Support and evolve the Advanced Analytics and Data Science roadmap by leveraging industry research, best practices and emerging tools/technology
          • +
          • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
          • +
          +

          +

          #DSEjobs

          +

          Qualifications

          +


          What you bring

          +

          +
            +
          • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
          • +
          • You are sought out for your skills in Machine Learning and AI, including regression, classification, clustering, time series analysis, NLP, and optimization and bring 2-4 years of hands-on work and practical business experience in the above areas
          • +
          • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences
          • +
          • You have solid development experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras and have applied these skills towards solving actual business matters
          • +
          • You are comfortable in and with a Jupyter environment and infrastructure, and familiar with GitHub
          • +
          • You possess advanced knowledge in SQL and distributed computing
          • +
          • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
          • +
          • You are well versed in software and AI development lifecycles, including ML Ops
          • +
          • You are agile and have a bias for action, removing roadblocks to get results fast
          • +
          +

          +

          Great-to-haves

          +

          +
            +
          • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, Engineering, or Data Science
          • +
          • Experience with agile methodology and work in a start-up environment
          • +
          • GCP or other cloud certifications
          • +
          +

          ",,https://careers.telus.com/job/Toronto-Data-Scientist-ON/571745517/,aitalent@vectorinstitute.ai,https://www.telus.com/en/about/careers,,,2023-08-03T19:06:24.196Z,False,0,50,195,https://talenthub.vectorinstitute.ai/jobs/243157013-data-scientist-at-telus,,published,2023-07-04T19:06:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, +1f0b62aa-243c-403a-81e2-2c396e881991,242607572,TD Bank Group,Cloud Reporting and Analytics Manager,on_site,"Toronto, ON",2023-07-03T15:53:02.112Z,"
          +

          Company Overview

          +
          +

          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

          +

          Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

          +
          +

          +

          Department Overview

          +

          As Cloud Reporting and Analytics Manager, you will be a key partner to TD Public Cloud and Dev/SecOps leadership team and work cross functionally with product, business, finance, and engineering leaders. You will identify and execute on a variety of workflows related to understanding and reporting on key cloud metrics. You are a self-starter who can anticipate questions and future challenges and are eager to produce data driven insights through reporting and analytics for senior executive and leadership teams.

          +

          +

          Job Description

          +
            +
          • Building and maintaining dashboard on Power BI or Tableau powered by Azure native analytical services
          • +
          • Creating robust data model that provides economic, business, security and operational insights related to cloud adoption and consumption
          • +
          • Connecting data sets from various source using scripting language and establishing strong data governance.
          • +
          • Partnering with infrastructure, engineering, product, and business leaders to understand current cloud and devops pipeline reporting requirement patterns and optimization opportunities.
          • +
          • Building a process to ingest raw data, transforming, and loading data on cloud for executive reporting.
          • +
          • Improving business analytics capabilities of the team and demonstrating product leadership.
          • +
          • Lead data specialists and create roadmap for cloud analytics and reporting.
          • +
          +

          +

          Requirements

          +
            +
          • 5+ years of relevant engineering or data science or analytics related experience. Financial acumen is a desirable but not mandatory.
          • +
          • 2+ years’ experience with at least one public cloud provider (Azure preferred), including knowledge of cloud analytics suite of products and services.
          • +
          • Extensive experience with large and complex cloud environments
          • +
          • Experience with BI tools, SQL, data modelling, python scripting and various ETL tools (cloud native preferred)
          • +
          • Excellent data management and statistical analysis skills.
          • +
          • Ability to communicate with leadership and executive teams
          • +
          +

          +

          Hours

          +
          37.5
          +

          +

          Inclusiveness

          +

          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

          +

          +
          ",,https://jobs.td.com/en-CA/jobs/18680328/cloud-reporting-and-analytics-manager-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-08-03T15:37:39.978Z,False,0,2,34,https://talenthub.vectorinstitute.ai/jobs/242607572-cloud-reporting-and-analytics-manager-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18680328/cloud-reporting-and-analytics-manager-toronto-ca/,published,2023-07-03T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,No Degree,New Posting, +1cdf1629-70c4-4ab3-8d57-52744238cbbf,243863358,BenchSci,"Engineering Manager, Machine Learning - Natural Language Processing (Remote)",full,"Toronto, Ontario Remote",2023-07-06T16:04:02.655Z,"
          We are looking for an Engineering Manager, Natural Language Processing to join our growing Machine Learning team and will report to the Director of Engineering, Machine Learning. You will lead a team that works on challenging problems to have an impact on the 41,000+ scientists across the world who rely on BenchSci for their research. As an Engineering Manager, NLP and Deep Learning, you will manage planning and prioritization of upcoming work, coordinate multiple engineering teams, and coach team members. You will work closely with tech leads and scientists to evaluate priorities, spot potential problems before they occur, and support the team's technical roadmap with planned engineering investments. Our ideal candidate is flexible, supportive and knows when to step in and work hands-on with their team and when to lean out and direct.
          +
          +

          You will:

          +
              +
            • Execution: Own and drive execution of product and technical roadmaps. You will maintain and oversee the quality and output for everything your team provides
            • +
            • Management: Take a leadership role in our hiring and onboarding processes. You will mentor your team, guide their growth, and manage performance with fair, inclusive, and equitable practices
            • +
            • Technical: Work with technical leads and engineers to provide guidance on technical solutions, backup plans, trade-offs, and design. You will ensure your experienced team provides quality, ensuring they feel a culture of risk-taking, and can experiment to find the best solutions. You will work hands on when needed to support your team's delivery goals.
            • +
            • Processes: Work with Science, Web Apps, and Data Teams to define and improve processes across the company with growth in mind
            • +
          +
          +
          +

          You have:

          +
              +
            • 4+ years working as a professional developer
            • +
            • 2+ years working as an engineering team manager
            • +
            • Experience hiring and building motivated engineering teams
            • +
            • Strong experience with Python and programming fundamentals
            • +
            • Extensive experience working with NLP (including NER) and PyTorch
            • +
            • Experience with data engineering and machine learning design patterns and best practices
            • +
            • Experience shipping machine learning into distributed, data-intensive production systems
            • +
            • Strong experience collaborating cross-functionally
            • +
            • Worked on projects that have gone from proof-of-concept through multiple maintenance stages
            • +
          +
          +
          +

          +

          +
          Benefits and Perks:
          +
          An engaging remote-first culture
          +
          A great compensation package that includes BenchSci equity options
          +
          15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
          +
          Unlimited flex time for sick days, personal days, religious holidays
          +
          Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
          +
          A $2000 CAD* Annual Learning & Development budget
          +
          A $1000 CAD* home office set-up budget
          +
          A $2500 CAD*wellness, lifestyle and productivity spending account for employees
          +
          Generous parental leave benefits with a top-up plan or paid time off options
          +
          *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.
          +

          +
          About BenchSci:
          +
          BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
          +
          Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
          +

          +
          Our Culture:
          +
          BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
          +
          We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
          +
          You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
          +

          +
          +Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
          +

          +
          +Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
          +

          +
          #LI-Remote
          +
          ",,https://jobs.lever.co/benchsci/c0c43041-28ab-4f31-a7b6-57d65f8419ff?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-08-05T17:44:19.282Z,False,0,11,104,https://talenthub.vectorinstitute.ai/jobs/243863358-engineering-manager-machine-learning-natural-language-processing-remote-at-benchsci,https://jobs.lever.co/benchsci/c0c43041-28ab-4f31-a7b6-57d65f8419ff,published,2023-07-06T16:04:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Manager,No Degree,New Posting, +b9ffbb9d-34b3-4bcb-88e0-1e5af47bb0a4,245265292,RBC,"Manager, Reporting, Automation & Analyst",on_site,"Toronto, ON, Canada",2023-07-11T01:51:02.694Z,"
          +

          Come Work with Us!

          At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

          Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

          +

          Job Title

          Manager, Reporting, Automation & Analyst

          +

          +

          Job Description

          +

          What is the opportunity?

          +

          RBC is currently recruiting for the exciting role of Manager, Reporting & Analytics. In this role, you will work directly with product / client partners in Client Profile Segment Team, especially the Newcomer & Cultural Client teams, to fulfill the following critical roles:

          +
            +
          • Support information-based business decisions by identifying, understanding, capturing, organizing, presenting, and disseminating data trends.
          • +
          • Work with business partners to grow profitable relationships with our clients and create sustainable value for RBC shareholders.
          • +
          +

          +

          What will you do?

          +
            +
          • Participate in strategy meetings to provide input, gather and document business requirements, and help formulate analytical framework.
          • +
          • Influence the approach to answering business questions with deep RBC product insights.
          • +
          • Seek out new ways to engineer and manufacture best-in-class standard reports to showcase insights and support tactics.
          • +
          +
          • Increase the standardization and efficiency of regular reporting.
          +
            +
          • Manage day-to-day workflow and negotiate realistic timelines.
          • +
          • Participate actively in self and peer development relating to financial products, operational processes, relationship management, and technology enhancement.
          • +
          • Ensure compliance and privacy guidelines are strictly adhered to.
          -

          -

          -

          We’re here to help

          -

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

          +

          Must-have:

          +
            +
          • 3 years of hands on experience with large relational databases and working experience with multiple querying tools such as native SQL, SAS, BI/Query
          • +
          • Proven technical experience with Tableau (desktop and server), UNIX and Windows integrated environments.
          • +
          • Be effective and equally conversant in business and technical environments.
          • +
          • Strong, innate, business and data acumen.
          • +
          • Applied data validation mechanisms.
          • +
          • Ability to thrive when working under pressure
          • +
          • Undergraduate degree in Computer Science, Statistics, Mathematics, Engineering, Finance, Economics, Business Administration, or other quantitative discipline.
          • +
          +

          Nice-to-have:

          +
            +
          • Knowledge of Teradata or DB2 is definite asset.
          • +
          • Demonstrated leadership in cross-functional environment.
          • +
          • Experience with developing reports using OLAP tools.
          • +
          • Experience with financial products and services and their corresponding data.
          • +

          -

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

          +

          What’s in it for you?

          -

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

          +

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

          -

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

          +
            +
          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation
          • +
          • Opportunity to learn and apply new businesses, techniques, and ideas.
          • +
          • Ability to make a difference and lasting impact
          • +
          • Work in a dynamic, collaborative, progressive, and high-performing team
          • +
          • Opportunities to take on progressively greater accountabilities.
          • +

          -

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

          -
          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Analyst--Risk-Management_R220022478?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-07-19T18:18:39.600Z,False,0,1,15,https://talenthub.vectorinstitute.ai/jobs/236957198-senior-analyst-risk-management-at-bmo-financial-group,,published,2023-06-17T01:42:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -b984157b-ba4a-42e5-9bcf-1d56c6ff5808,235603917,Roche,Senior Imaging Scientist - Digital Pathology,on_site,"Mississauga, ON, Canada",2023-06-12T20:19:16.104Z,"

          The Position

          -

          Works with a highly collaborative team of imaging scientists, software developers, and scientists in medicine and biology to solve image and data analysis problems in the field of Digital Pathology. Performs research and development activities for technology assessment, internal project collaborations, and commercial medical devices independently and as technical lead of project groups. Devises technology and advances the team’s method portfolio in the field of image processing, machine learning, pattern recognition, and data mining

          -

          ESSENTIAL FUNCTIONS:

          -

          - Designs and implements innovative algorithms to analyze histopathology images and data as individual contributor or technical lead of a project team.

          -

          - Designs and implements analysis algorithms and software platforms for prototyping and commercial product development.

          -

          - Optimizes algorithms and platforms for efficiency, accuracy, performance, and scalability.

          -

          - Collaborates with and leads other members of a project team to meet defined scientific and technical goals.

          -

          - Interacts in a multidisciplinary environment with internal and external stakeholders (e.g., pathologists, biochemists, instrumentation engineers, software engineers, and marketing representatives).

          -

          - Organizes and tracks requirements, deliveries, and project time lines. Keeps up-to-date with technology advances, the competitive landscape, and job training requirements in the medical device industry.

          -

          - Provides leadership in selecting new research directions and coordination in execution of the team’s technical goals.

          -

          - Generates Intellectual Property for technology and applications.

          -

          - Presents results and project proposals to project partners, collaboration partners within the Roche group, customers, and at scientific conferences.

          -

          - Provides technical direction, mentorship, guidance and feedback to others. Other duties as may be assigned by management in the pursuit of the operational goals of the group.

          -

          Who you are:

          -

          You’re someone who wants to influence your own development. You’re looking for a company where you have the opportunity to pursue your interests across functions and geographies. Where a job title is not considered the final definition of who you are, but the starting point.

          -

          MINIMUM QUALIFICATIONS:

          -

          Formal Training/Education:

          -

          - Ph.D. degree in Computer Science, Biomedical Engineering, Electrical Engineering, or a related field

          -

          Experience:

          -

          - At least two years of industry R&D experience with software development for image or data analysis algorithms.

          -

          - Proven track record of innovative analysis and software solutions.

          -

          - Proven track record of publications and intellectual property generation from own work.

          -

          - Experience in the design and development of medical devices in the field of biomedical image data analysis.

          -

          Knowledge, Skills, and Abilities:

          -

          - Excellent written and verbal communication skills; ability to review and evaluate writing of others.

          -

          - Ability to solve complex problems using creative ideas, state-of-the-art knowledge and best engineering practice.

          -

          - Sound application of scientific principles; expert analytical and mathematical skills.

          -

          - Expert knowledge and theoretical understanding of image analysis, pattern recognition, machine learning, computer vision, and data mining methods.

          -

          - Strong understanding of software design and development practices; proficiency in prototyping and commercial product development languages.

          -

          - Good understanding of biomedical image data including pathology images.

          -

          - Understanding of R&D work in a regulated industry

          -

          Who we are

          -

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

          -

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

          -

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

          -

          Roche is an Equal Opportunity Employer.

          ",,https://roche.wd3.myworkdayjobs.com/roche-ext/job/Mississauga/Senior-Imaging-Scientist---Digital-Pathology_202302-105081,aitalent@vectorinsitute.ai,https://www.roche.com/careers.htm,,,2023-07-12T20:19:39.519Z,False,0,5,29,https://talenthub.vectorinstitute.ai/jobs/235603917-senior-imaging-scientist-digital-pathology-at-roche,,published,2023-06-12T20:19:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,PhD,New Posting, -0d28faf4-850f-43d3-ac61-5bce6034edef,235603309,Roche,"Data Engineer Lead, Digital Pathology",on_site,"Mississauga, ON, Canada",2023-06-12T20:16:09.222Z,"

          The Position

          -

          The Digital Pathology (DP) Data Services Team within Roche provides data management, generation, and validation services to support DP science, discovery & commercial product teams in their algorithm research and development. We are an incredibly motivated, smart and diverse group of unique individuals united in our mission to improve the lives of every patient afflicted with cancer.

          -


          We are seeking an excellent, experienced and highly skilled Data Engineer lead for DP Data Management with a strong technical background rooted in fundamental computer science and database management.

          -


          Given the collaborative nature of our team we are looking for someone with a flexible and learning mindset, the ability to work in a fluid and dynamic environment, and a strong desire to pursue creative solutions to challenging problems following the highest standards in the industry.

          -


          Key Responsibilities

          +

          Job Summary

          +

          Address:

          TORONTO, Ontario, Canada

          City:

          CAN-ON-TORONTO

          Country:

          Canada

          Work hours/week:

          37.5

          Employment Type:

          Full time

          Platform:

          Personal and Commercial Banking

          Job Type:

          Regular

          Pay Type:

          Salaried

          Posted Date:

          2023-07-06

          Application Deadline:

          2023-07-22
          +

          Inclusion and Equal Opportunity Employment

          +

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

          +
          +

          Join our Talent Community

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

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

          +
          ",,https://jobs.rbc.com/ca/en/job/R-0000063184/Manager-Reporting-Automation-Analyst,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-08-16T17:41:32.226Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/245265292-manager-reporting-automation-analyst-at-rbc,,published,2023-07-11T01:51:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +3e00abbc-26f3-4554-99e8-df4c0d1ee72a,247732367,TD Bank Group,Business Insights Specialist,on_site,"Toronto, ON",2023-07-17T15:53:03.007Z,"
          +

          Company Overview

          +
          +

          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

          +

          Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

          +
          +

          +

          Department Overview

          +
          +

          What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

          +

          We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

          +

          +

          Job Description

          +
          +

          +

          About this Role

          +

          With your depth of experience and knowledge of data and insights, you’ll work closely with leadership teams, providing thought leadership and insights for a host of projects. Your goal? Deliver and communicate world-class, comprehensive analytical support, identify and enhance business opportunities, productivity and efficiency. TD will look to your interpretation of vast and complex data in the form of ongoing, multidimensional insights and relevant data analysis. You’ll use all the analytics tools at your disposal – including profiling tools, segmentation and advanced modelling and analytics – to add new dimension and drive to TD’s business growth and value.

          +

          We are looking for someone to lead and cultivate a sizeable team of Business Insights & Analytics professionals/specialists.

          +

          +

          As a Business Insights Specialist, you will:

            -
          • Champion, design, build and support of a data management system or database, cloud and/or open source, to process and manage histopathological meta data to support product development, exploratory research, or on-market applications.
          • -
          • Building highly scalable data management systems and associative architecture to support millions of highly heterogeneous histopathology data sets
          • -
          • Being able to work across multiple, multi-disciplinary teams internal/external to gather requirements and ensure project development is aligned to those requirements.
          • -
          • Being able to work with parsing, managing, analyzing and making available large sets of (histopathological) data to turn information into insights using multiple platforms.
          • -
          • Working at all stages of the software life cycle: Proof of Concept, MVP, Production, and Deprecation
          • -
          • Build peer relationships with Roche IT and build a in-depth knowledge of Roche data systems and information strategies to inform DP Data Services Strategies
          • -
          • Lead internal projects for new or upgraded systems, applications, data manipulation or reporting solutions and acting as the connection between the DP Data Services team and other Roche groups (e.g. Roche IT, Pharma, etc.)
          • -
          • Proactively identify automation opportunities where the use of systems or the collation of data or information for reporting are highly manual or fragmented
          • -
          • Develop and maintain tools for monitoring and/or improving compliance and ensuring data integrity
          • +
          • Work closely with business partners to gain deep understanding of the business and relevant objectives in order to guide the strategic direction of respective business and/or the enterprise
          • +
          • Formulate relevant and significant data analysis through comprehensive profiling tools, segmentation, as well as bringing to bear advanced modeling and analytics
          • +
          • Lead on the interpretation of complex business issues, generate multifaceted insights and find opportunities to help drive business growth or address business/enterprise needs
          • +
          • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
          • +
          • Work autonomously and accountable for acting as a lead within a specialized business management function and may provide work direction to others
          • +
          • Provide top-tier specialized knowledge, advice and/or mentorship to various partners and team members
          • +
          • Present and communicate generated insights and recommended business actions to stakeholders/ business leaders in an easily digestible manner
          • +
          • Act as the primary point of contact with business to bridge and translate business requirements to analytics and reporting needs for a given domain/business
          • +
          • Build and apply positive working partnerships to constructively influence and inspire partners where appropriate
          • +
          • Serve as an authority on a given business domain and provide business expertise to place context around analytics discovery and inform recommendations
          • +
          • Call out data/process related problems and communicate to relevant teams in a timely manner and make recommendations for resolution
          • +
          • Provides day-to-day support and delivery of analytics
          • +
          • Build insights solutions end to end (from initial demand to results/recommendation presentation) ranging in complexity
          +

          -


          Qualifications

          -

          +

          Requirements

          +
          +What can you bring to TD?

          +

          Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

            -
          • A BS in a computer science/computational science discipline with 12 years of work experience or a Masters with 7 years of experience (preferred)
          • -
          • 5+ years experience architecting and developing scalable data pipelines, frameworks and platforms to power data science efforts in distributed cloud environments; solid knowledge of HPC and AWS based data engineering and analytics solutions
          • -
          • Significant experience with storage technologies and their advantages and disadvantages (e.g. Relational Database, No-SQL Database, Object Storage); experience with one specific NoSQL solution, like DynamoDB, MongoDB, or Cassandra and understanding the different use cases for a NoSQL solution vs a SQL solution.
          • -
          • Extensive experience in designing, developing and maintaining databases. Proficiency in data processing and management including the ability to query large data sets, including image sets.
          • -
          • Experience with various data integration/ETL tools, application integration, business process and data science tools (e.g. Talend, Kubeflow, Spark, Tableau, Flume, Kafka or Databricks)
          • -
          • Fluency in programming languages (Python, Go, Java) for data analysis
          • -
          • Professional experience in software engineering with Python including: Very good understanding of the Python Ecosystem (e.g. NumPy, Pandas, Scikit-learn), Coding best practices (e.g. TDD, ATDD), Application Architecture and Design Patterns, Testing strategies, Versioning
          • -
          • Experience with Structured Query Language SQL and different database engines (Microsoft SQL Server, PostgreSQL, MySQL, and others)
          • -
          • Experience with SQL database optimization, can distinguish between optimization for reading heavy DBs, or writing heavy DBs, and understanding about sharding and stored procedures, table-valued functions, scalar-valued functions, triggers, and more.
          • -
          • A strong willingness to learn, comfortness with ambiguity and being able to work without lots of supervision
          • -
          • Stays up-to-date with technology trends and understands its impact on the current technology portfolio
          • -
          • Excellent organizational and documentation skills and able to multitask
          • -
          • Demonstrated communication skills
          • +
          • Five (5) or more years relevant experience
          • +
          • Must know Python, Spark, SQL, Tableau, PowerBI
          • +
          • SAS knowledge
          • +
          • Graduate degree is an asset
          • +
          • Strong analytical and problem-solving skills
          • +
          • Knowledge in the use of databases, data analysis tools, and proficiency in Excel
          • +
          • Experience with creating dashboards and reports on BI tools such as Tableau is a must
          +

          +

          Additional Information

          +
          #Li-Hybrid

          -

          Preferred Skills (but not required):

          -
            -
          • Knowledge on image processing and computer vision
          • -
          • Strong background in statistics and hands-on experience with deep learning
          • -
          • Prior experience in digital pathology, medical imaging
          • -
          • Experience with terraform; understand how to deploy databases to the cloud in an automated way
          • -
          +

          Hours

          +
          37.5

          -


          Note: Travel to US required.

          +

          Inclusiveness

          +

          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

          -

          Who we are

          -

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

          +
          ",,https://jobs.td.com/en-CA/jobs/18744371/business-insights-specialist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-08-16T23:26:38.517Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/247732367-business-insights-specialist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18744371/business-insights-specialist-toronto-ca/,published,2023-07-17T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +02c4386b-8e3c-43f4-bd86-c2c3862dac21,246379609,BMO Financial Group,"Manager, Market Risk (Model Review & Business Analytics)",on_site,"Ontario, Canada",2023-07-14T01:42:02.812Z,"
          +

          Application Deadline:

          08/03/2023

          -

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

          +

          Address:

          250 Yonge Street

          +

          +

          Job Family Group:

          Data Analytics & Reporting

          +

          +

          Are you ready for a new challenge? We are looking to hire 3 exceptional candidates to join this growing team. Two of these vacancies require a natural disposition towards change management with hands-on experience and stakeholder management as these positions involves managing weekly conversations with individuals at all levels of the organizations. The remaining vacancy will involve work related to models and requires someone with prior experience in this space (model validation, model development, model governance to perform model performance monitoring and review). All three vacancies call for previous experience in Banking and Market Risk. If this sounds like a team you\'d like to be a part of - apply today!

          +

          +

          +

          Description

          +

          As a member of the Fundamental Review of Trading Books Business As Usual team (FRTB BAU ) Manager, Market Risk is primarily responsible for performing in-depth analysis and design to support the FRTB trading desk quantitative risk requirements. The Manager is expected to answer to the extended scope of projects, audit requirements, ad hoc requests and expansion of the team’s responsibilities and mandate in the risk infrastructure area.

          +

          Key Accountabilities

          -

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

          -

          Roche is an Equal Opportunity Employer.

          ",,https://roche.wd3.myworkdayjobs.com/roche-ext/job/Mississauga/Data-Engineer-Lead---Digital-Pathology_202304-110248,aitalent@vectorinsitute.ai,https://www.roche.com/careers.htm,,,2023-07-12T20:16:14.907Z,False,0,3,39,https://talenthub.vectorinstitute.ai/jobs/235603309-data-engineer-lead-digital-pathology-at-roche,,published,2023-06-12T20:16:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Team Lead,Bachelors Degree,New Posting, -f007dfee-78ae-42c2-8b8e-65cf3d8832a9,237381185,Scotiabank,Data Analytics Specialist,on_site,Canada : Ontario : Toronto,2023-06-18T15:52:02.522Z,"

          +

          Responsibilities:

          +
            +
          • Lead new initiatives end-to-end: Requirements elicitation in partnership with stakeholders; Solution design in consultation with technology partners (in-house and vendor); develop test strategy and test plan and perform User Acceptance test to ensure business and analytic requirements are correctly implemented
          • +
          • Consult with stakeholders (front office, middle office, back office, credit) to understand the changes required; Ensure risk platforms used for risk capture are current and internally consistent; translate business requirements into development tasks, and ensure alignment of priorities
          • +
          • Participate in the implementation process to ensure proper and timely implementation of system enhancements
          • +
          • Prototyping with program language as of proof of concept or validation of system implementation of the business requirement related to data profiling, mapping, risk metrics calculation
          • +
          • Manage the relationships with clients across the organization as well as with the vendor;
          • +
          • Mentor and lead junior business analysts to deliver on projects
          • +
          • Assist in the documentation of procedures, control processes, and policies relevant to internal controls.
          • +
          • Identify opportunities for improvements within the market risk system infrastructure. +
          • +
          +


          +

          Qualifications

          +

          Must Have Skills:

          +
            +
          • Minimum of 5 years of business analytics experience within Capital Markets
          • +
          • Strong proficiency with Excel (used in manual testing and for daily reporting) and SAS, nice to have knowledge includes Python, SQL, C#, and/or VBA
          • +
          • Must have hands on experience in manual testing (test case design to ensure coverage and execution)
          • +
          • Excellent oral and written Communication Skills as they need to interact with all levels in the management hierarchy (developer, Project Manager, VP, Director)
          • +
          • Strong analytic and troubleshooting skills with a solution oriented attitude
          • +
          +

          +

          Nice to Have Skills

          +
            +
          • Understanding of financial products is preferable
          • +
          • Broad understanding and experience with risk management methodologies, preferably in Market Risk
          • +
          • Proven experience working on multiple large projects simultaneously +
          • +
          +

          +

          +

          We’re here to help

          +

          +

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

          +

          +

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

          +

          +

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

          +

          +

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

          +

          +

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

          +
          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Market-Risk--Model-Review---Business-Analytics-_R230010839?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-08-16T22:49:07.050Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/246379609-manager-market-risk-model-review-business-analytics-at-bmo-financial-group,,published,2023-07-14T01:42:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,No Degree,New Posting, +fd4db199-57f6-4b98-b90d-3a021f8f337c,247347039,Scotiabank,"Senior Manager, Collections Strategies and Analytics - 12 Month Contract",on_site,Canada : Ontario : Toronto,2023-07-16T15:52:02.301Z,"

          -

          Requisition ID: 178401

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

          +

          Requisition ID: 179148

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

          +

          Purpose of Job:

          -

          The Team

          -

          GOCT – International CRM Data and Analytics Team provides data management and analytical solutions to support business intelligence and reporting (Financial Risk, Regulatory and Executive Management) on customer relationship management activities.

          +

          GRM Retail Credit Risk Collections is leader in developing innovative solutions impacting Bank’s profitability. This is accomplished through the use of advanced analytics, collections efficiency and disciplined risk governance.

          -

          The Role

          -

          The Data Analytics Specialist contributes to the overall success of the IB CRM Support team by actively participating in the Development, Operations and Maintenance of the Data Marts, the Analytical solutions based on Power BI platform and the Infor Omni Channel Campaign Management application.

          +

          You, as a Senior Manager Collections Strategies and Analytics, are a leader with strong collaboration and communication skills and a great ability to manage multiple priorities in a very fast paced-entrepreneurial environment. You contribute to the success of the Collections function by defining, implementing and tracking best-in-class collections strategies, consistent process execution, and oversight. You are a rigorous logical thinker, curious, flexible and have great teamwork abilities. Your background and experience is at the intersection of math/stats, computer science, communication, and domain knowledge in Retail Risk Management.

          -

          Some of the Key Accountabilities include:

          -
          • Develop and maintain complex reports and supporting data structures on Power BI and Web Browser based reports on Infor Omni Channel Campaign Management application.
          • Manage user access to these reports.
          • Provide hands-on operational support over the execution of the daily/weekly/monthly production cycles as well as on-demand data extractions from various data providers including certified data sources and BNS applications
          • Deliver on International Banking Caribbean CRM data management strategy through the day-to-day support of relational data models with a focus on data delivery through managing data ingestion, transformation, exception identification, data investigations and troubleshooting.
          • Maintain a strong working relationship with peers across the business lines including key stakeholders in International Retail Products and Marketing, Customer Insights, and Global Risk Management
          • Support, maintain and enhance International Banking Infor Omni Channel campaign management solution (Epiphany) and Customer centric Caribbean data mart
          • Provide advice in the form of day-to-day technical support to team members and user community. Contribute to the team Agile culture and leverage Scrum and Kanban in daily activities
          • +

            What's in it for you?

            +
            • Opportunity to make a direct impact to the Bank’s profitability
            • A compensation program with a competitive salary, opportunities for annual performance incentives based on performance thresholds, a competitive benefits program and continuing education programs

            -

            What You Will Bring to Succeed

            -
            • 5+ years of experience in data warehousing, data analysis and Reporting based on Power BI/ Tableau or other reporting tools. Preference is for Power BI.
            • Strong knowledge of Microsoft SQL Server ecosystem Data Tools including SSMS, SSIS, SSAS and Visual Studio is a must.
            • Hands-on experience in ETL and query tools including SAS, T-SQL, SSIS, “dbVisualizer” will be a plus.
            • Experience in Atlassian Jira/Confluence, GIT, TFS/Azure DevOps
            • Proven interpersonal, analytical and problem resolution skills
            • Effective communication and presentation skills (written/verbal)
            • University degree in Software Engineering/Computer Science related field
            • -
            -

            -

            The Workplace

            -
            • We are technology partners who help the business transform how our employees around the world work
            • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
            • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
            • We foster an environment of innovation and continuous learning
            • We care about our people, allowing them to design how they work to deliver amazing results
            • We offer a competitive total rewards package, including a performance bonus, company matching programs (on pension & profit sharing), and generous vacation
            • +

              Job Responsibilities:

              +

              Leverage your strong retail risk analytical background in order to collaborate with various business partners to:

              +
              • Lead collections analytics, strategy and portfolio performance assessment, and technological improvement
              • Generate analytical recommendations to influence stakeholders in their actions to minimize loan losses, improve dollars collected, and gain operational efficiencies
              • Ensure all credit risks associated with collections are quantified with effective management reporting, across all components of collections (People, Data, Process, Technology, and Strategy)
              • Manage processes related to gathering and processing of structured and unstructured data into a form suitable for analysis
              • Deliver on analytical projects to improve collection efforts and recoveries
              • Recommend improvements to existing processes. Introduce changes under a test/control framework to help drive decisions that improve profitability
              • Design and implement policies to help our customers in need of loan modification programs
              • Provide oversight of collection efforts by developing performance reports and early warning triggers

              -

              #LI-Hybrid

              -

              -

              Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Data-Analytics-Specialist/570454617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-19T22:07:26.658Z,False,0,5,37,https://talenthub.vectorinstitute.ai/jobs/237381185-data-analytics-specialist-at-scotiabank,https://jobs.scotiabank.com/job/Data-Analytics-Specialist/570454617/,published,2023-06-18T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -5f3a3281-bb92-4632-acc3-5816c08aa83f,236957760,Borealis AI,Senior Machine Learning Researcher - Atom Group,on_site,"Ontario, Canada",2023-06-17T01:58:02.591Z,"
          -

          What\'s the opportunity?

          -

          As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

          -

          Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

          -

          Your responsibilities include:

          -
            -
          • Developing novel AI solutions that facilitate impactful products;
          • -
          • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
          • -
          • Working with the development team to transfer research work into production;
          • -
          • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
          • -
          • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
          • -
          -

          You’re our ideal candidate if you have:

          -
            -
          • A passion for solving open problems using data and algorithms;
          • -
          • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
          • -
          • Ability to formulate and drive a research project independently without close supervision;
          • -
          • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
          • -
          • Demonstrated ability to deliver machine learning solutions following industry best practices in software engineering is an asset.
          • -
          • Experience with time series or event forecasting, especially with asynchronous data, is an asset.
          • -
          -

          What’s in it for you?

          -
            -
          • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
          • -
          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
          • -
          • Leaders who support your development through coaching and managing opportunities;
          • -
          • Ability to make a difference and lasting impact from a local-to-global scale.
          • -
          -

          About Borealis AI

          -

          Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

          -

          Inclusion and Equal Opportunity Employment

          -

          RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request

          -
          ",,https://www.borealisai.com/careers/?gh_jid=5870636002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-07-19T18:28:54.807Z,False,0,5,34,https://talenthub.vectorinstitute.ai/jobs/236957760-senior-machine-learning-researcher-atom-group-at-borealis-ai,,published,2023-06-17T01:58:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,PhD,New Posting, -2ac74a2c-718f-4707-8305-275a52e71344,243157716,Accenture,Data & AI Industry Leader - Public Services,on_site,"Toronto, ON, Canada",2023-07-04T19:15:45.835Z,"

          Data & AI Industry Leader - Public Services

          -

          -

          Location: Ottawa/Toronto

          -

          -

          We Are:

          -

          -

          The people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Visit us here to find out more about Applied Intelligence.

          -

          -

          You Are

          -

          An expert at solving real-world challenges with data, analytics, AI and creativity. Yes, creativity! You know the theory and you have hands-on expertise from studies, experience and/or self-taught projects. As a senior manager working at Accenture you will work on a team with diverse clients and industries delivering solutions to help clients turn data into actionable insights that drive tangible outcomes, improve performance and help clients lead the market.

          -

          -

          -

          The work:

          -

          -

          · Interacts with senior management levels at a client and/or within Accenture, which involves negotiating or influencing significant matters.

          -

          -

          · Provides solutions to complex business problems for area(s) of responsibility where analysis of situations requires an in-depth knowledge of organizational objectives.

          -

          -

          · Manages large teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.

          -

          -

          · Be a subject matter advisor, that is regarded as a thought leader with immense breadth and depth of understanding of your space (including, but not limited to, trends, competitive landscape, emerging technologies).

          -

          -

          · Involved in setting strategic direction to establish near-term goals for area of responsibility.

          -

          -

          Has latitude in decision-making and determining objectives and approaches to critical assignments. Decisions have a lasting impact on areas of responsibility with the potential to impact outside areas of responsibility.

          -

          SHOW LESS

          -

          Qualifications

          -

          Here’s what you need:

          -

          -
            -
          • Minimum of 12 years of consulting or client service data delivery experience with a proven track record of making significant client impact and value creation
          • -
          • Minimum of 10 years of experience in a Data Delivery role working with senior client leadership, driving large scale transformations in the areas of data management including data governance, and data privacy
          • -
          • Minimum of 10 years with data technical solutions implementation, architecture design, evaluation, and investigation in a data environment
          • -
          • Minimum of 5 years of experience client-facing in the sales process which involves leading RFPs for complex data transformation projects
          • -
          • Minimum of 4-5 years in delivering data solutions on Cloud Data Platforms (specifically AWS, Azure, and/or GCP)
          • +

            Job Requirements:

            +
            • A Master's degree in Business, Economics, Finance, Industrial Engineer, Mathematics or related discipline and a strong background in quantitative analysis
            • Strong judicious relationship-building and negotiation skills to articulate sound recommendations and influence executives
            • Excellent communication and presentation skills: can convey messages in a clear, concise and succinct manner, select the best method of communication to influence business decisions
            • A results-driven individual with a high level of curiosity and the ability to dive into details without losing sight of the big picture
            • Exceptional organization skills to prioritize, manage, and implement a variety of contesting initiatives, on a concurrent or staggered basis
            • Strong background in quantitative analysis applied to portfolio metrics
            • Three to five years of experience in retail risk portfolio management, collections or provisions
            • Strong experience with statistical software packages such as SQL/SAS and Python
            • Strong experience with Machine Learning techniques
            • Experience manipulating large and complex databases
            -

            -

            Bonus points if:

            -

            -

            Strong technical skills in building out data privacy solutions in support of privacy policies for GDPR and CCPA.

            -

            Experience with Azure Cloud Service

            -

            Experience with microservices architecture and API-based development and deployment

            -

            -

            Locations

            -

            Ontario - Ottawa, Ontario - Toronto

            ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00160325_en&title=Data+%26+AI+Industry+Leader+-+Public+Services,aitalent@vectorinstitute.ai,https://www.accenture.com/ca-en/careers,,,2023-08-03T19:15:48.085Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/243157716-data-ai-industry-leader-public-services-at-accenture,,published,2023-07-04T19:15:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,No Degree,New Posting, +

            +

            Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Collections-Strategies-and-Analytics-12-Month-Contract-ON-M5H1B6/571295117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-16T22:59:59.592Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/247347039-senior-manager-collections-strategies-and-analytics-12-month-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Collections-Strategies-and-Analytics-12-Month-Contract-ON-M5H1B6/571295117/,published,2023-07-16T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Masters Degree,New Posting, d345179c-095d-4366-9274-6ecfb67eaed2,243155652,Sun Life Financial,Senior Data Engineer,on_site,"Toronto, ON, Canada",2023-07-04T17:59:17.669Z,"

          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

          Job Description:

          @@ -5851,195 +12944,97 @@ d345179c-095d-4366-9274-6ecfb67eaed2,243155652,Sun Life Financial,Senior Data En

          Advanced Analytics

          Posting End Date:

          -

          09/07/2023

          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Engineer_JR00080511?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f,aitalent@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2023-08-03T17:59:19.812Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/243155652-senior-data-engineer-at-sun-life-financial,,published,2023-07-04T17:59:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -df024f78-961a-4bf8-8006-1a8fd833ca06,243157013,TELUS, Data Scientist,on_site,"Toronto, ON, Canada",2023-07-04T19:06:18.380Z,"

          Description

          -

          -

          Join our team and what we'll accomplish together

          -

          -

          The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high-quality data, and a data-product-oriented culture while always keeping an eye on the horizon, preparing for the next big thing.

          -

          -

          We are entrepreneurial and live by our AI Manifesto of failing fast and being outcome vs technology-driven, creating value for our customers, team members, communities, and the environment. The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web visualizations, we do it all!

          -

          -

          Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

          -

          -

          Here’s the impact you’ll make and what we’ll accomplish together

          -

          -

          You’ll be a part of the team and journey that will transform the way we do business across various domains. You’ll collaborate with teams across the company, seeking out various data sources to help identify new business opportunities while championing data-driven decision-making and the accelerated adoption of AI.

          -

          -

          As a Data Scientist on the team, you will combine your expert knowledge of data science with your strong software development skills to automate and facilitate data exploration, analytics, machine learning model development, training and deployment and will leverage your experience in building reusable algorithms, functions and libraries.

          -

          -

          Here's how

          -
            -
          • Lead the iterative development, validation, and deployment of AI/ML models
          • -
          • Collaborate on end-to-end automation efforts required to bring models to production
          • -
          • Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
          • -
          • Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
          • -
          • Influence how we approach business challenges and opportunities by driving the adoption of a data-driven mindset
          • -
          • Develop re-usable code aimed at delivering on future goals faster and more reliably
          • -
          • Support and evolve the Advanced Analytics and Data Science roadmap by leveraging industry research, best practices and emerging tools/technology
          • -
          • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
          • -
          -

          -

          #DSEjobs

          -

          Qualifications

          -


          What you bring

          -

          -
            -
          • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
          • -
          • You are sought out for your skills in Machine Learning and AI, including regression, classification, clustering, time series analysis, NLP, and optimization and bring 2-4 years of hands-on work and practical business experience in the above areas
          • -
          • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences
          • -
          • You have solid development experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras and have applied these skills towards solving actual business matters
          • -
          • You are comfortable in and with a Jupyter environment and infrastructure, and familiar with GitHub
          • -
          • You possess advanced knowledge in SQL and distributed computing
          • -
          • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
          • -
          • You are well versed in software and AI development lifecycles, including ML Ops
          • -
          • You are agile and have a bias for action, removing roadblocks to get results fast
          • -
          -

          -

          Great-to-haves

          -

          -
            -
          • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, Engineering, or Data Science
          • -
          • Experience with agile methodology and work in a start-up environment
          • -
          • GCP or other cloud certifications
          • -
          -

          ",,https://careers.telus.com/job/Toronto-Data-Scientist-ON/571745517/,aitalent@vectorinstitute.ai,https://www.telus.com/en/about/careers,,,2023-08-03T19:06:24.196Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/243157013-data-scientist-at-telus,,published,2023-07-04T19:06:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, -fcaa3524-52ae-44f7-a1ad-f9589624425a,243157384,Loblaw Companies Ltd.,"Data Scientist, Acquisition Strategy",on_site,"Toronto, ON, Canada",2023-07-04T19:12:17.370Z,"

          Referred applicants should not apply directly to this role.

          -

          All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

          -

          -

          -

          Location:

          -

          500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

          -

          -

          When you hire great people, great things can happen.

          -

          PC Financial offers unprecedented value to Canadians through payment products. We're a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

          -

          -

          Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

          -

          -

          Why this Role is Important:

          -

          As a pivotal role within our organization, you will harness the power of data to identify and optimize acquisition strategies, ensuring our bank attracts high-quality customers while improving profitability. With your analytical expertise and collaborative approach working with a highly motivated team, you can help us unlock hidden insights, develop predictive models, and drive data-driven decision-making across various channels. By effectively using data, you will enable the bank to make informed decisions, improve customer experiences, and unlock substantial value, propelling us ahead in an ever-evolving industry.

          -

          -

          -

          What You'll Do:

          -
            -
          • Develop and monitor acquisition strategies for prospects from face to face and digital channels. Use advanced analytics and modeling/machine learning to understand how the behaviour of customers and prospects, their interactions and touchpoints, contribute to their overall customer experience to inform the overall acquisition strategy.
          • -
          • Collaborate with product and sales teams to develop a detailed understanding of business objectives to deliver customer-focused insights, analytics solutions and customer acquisition strategies.
          • -
          • Through statistical analysis (e.g. Linear and Logistic regression, Gradient Boosting, Random Forest, etc.), understand and measure the changing needs of the target customer to influence the customer experience.
          • -
          • Conduct multi-variate testing and A/B testing to measure effectiveness of strategies and refine them as needed.
          • -
          • Translate customer data into cross-channel customer insights, and competitive intelligence reports, which will form a strategy to meet customer needs and improve customer acquisition, growth and retention.
          • -
          • Use structured and unstructured rich data sources (including but not limited to internal customer data, competitive intelligence, industry benchmarks, voice of the customer, and web analytics) to produce customer/prospect experience metrics and insights, including awareness, engagement and customer loyalty, across all channels.
          • -
          • Measure the effectiveness of the customer journey, by using path analysis, channel attribution and media mix modeling, providing specific recommendations to increase revenue or reduce costs.
          • -
          • Present business analysis results and recommendations to key partners.
          • -
          -

          -

          -

          -

          What You'll Bring:

          +

          09/07/2023

          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Engineer_JR00080511?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f,aitalent@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2023-08-03T17:59:19.812Z,False,0,5,54,https://talenthub.vectorinstitute.ai/jobs/243155652-senior-data-engineer-at-sun-life-financial,,published,2023-07-04T17:59:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +a87a87a0-a350-4a44-98b5-0d72a0e8ae06,238913584,Scotiabank,"Manager, Decisioning Models - Retail & Small Business",on_site,Canada : Ontario : Toronto,2023-06-23T15:52:04.148Z,"

          +

          +

          +

          +

          Requisition ID: 176964

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

          +

          +

          The world is changing faster than ever and so are we!

          +

          +

          Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

          +

          Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

          +

          +

          What You'll do in this Role?

          +

          As a Manager, you will report directly to a Senior Manager or Director and be a critical member of a team overseeing a portfolio of decisioning models and supporting analytic processes. You will support – from conception through execution and governance – the risk decisioning models used by 2 or more of the bank’s retail and small business product lines, across the entire customer lifecycle. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Model Operations, Product, Risk Strategy & Risk Management, Model Validation and Governance, Technology & Data, Finance, Legal, Compliance and Audit.

          +

          +

          Your team will have access to both traditional SAS tools and a modern machine learning stack that includes on-premise GPU computing, open source Jupyter development environments, a Hadoop cluster, containerized API model deployment and data visualization business intelligence tools.

          +

          +

          Under the guidance of your Director, your team of risk modeling experts will use these tools to develop advanced risk prediction models that will be used potentially millions of times, every year and therefore need to be not only accurate and precise, but highly stable, explainable, compliant, secure and useful. You will be responsible for understanding the goals & priorities set for you, executing them efficiently with a perpetual eye on quality, asking questions often and delivering results in harmony with your teammates.

          +

          +

          Is This Role Right for You?

          +
          • You believe, first and foremost, in always doing the right thing and doing things the right way
          • You are both deeply curious and highly pragmatic
          • You are comfortable with ambitious but realistic goals and are committed to achieving them
          • You are social, engaging, not afraid to ask questions and relish the opportunity to learn from business partners (the majority of whom will be far less technical than you)
          • You relish the implication and yet also understand the responsibility and weight that comes with the fact that every single time your model is used, it impacts a real human being
          • You understand the difference between accuracy and precision and get excited by really great KS values and ROC curves
          • You have a genuine love, passion and talent for programming, data, and predictive modeling
          • You are comfortable initiating conversations and collaborating with diverse personalities
          • You are committed to quality in everything you do – statistically, process and governance wise
          • You look forward to sharing your insights with your peers through high-quality effective verbal and written communications
          • +You are professional, motivated AND FUN. We mean it.
          • +
          +

          Sample projects that you might work on include:

          +
          • Complete specialized analysis, develop creative statistical solutions and recommend improvements to estimation techniques, risk rating systems and/or internal or vendor-developed credit risk models
          • Collaborate with risk management teams, external vendors, technology, and country risk counterparts as well as other stakeholders (i.e. audit, product) to ensure consistent and effective governance, measurement and communication of models / scorecards and their performance
          • Conduct research of new innovative modeling methodologies, tools and regulatory requirements; develop new methodologies for model development, monitoring and reporting
          • Lead the periodic review and maintenance of credit risk models / scorecards
          • Identify, promote and lead process improvements for model development and monitoring
          • Ensure that the data used for model development is reliable and robust and that it adheres to industry and regulatory standards
          • +
          +

          +

          What Are We Looking For?

          +

          We want talented pragmatic analytically oriented data scientists who are equally at home interpreting and applying statistics as they are ingesting and massaging data, translating regulatory requirements into models and explaining complex issues in simple concise ways. We want bright and energetic minds who come armed with a bottomless sense of curiosity about everything (great models and analytics are about so much more than just the numbers!), a passion for getting things done right – the first time – and a deep sense of personal and professional accountability.

          +

          +

          To be a Manager in Retail Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you also need to be a collaborative team player who actively listens to stakeholders and customers because you are passionate about helping them win and you need to be interested in building something lasting and great. Working with customers across the bank to understand and translate their needs into outcomes, exploring both novel and legacy data sets and methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that your team “owns” will all be equally important.

          +

          +

          We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

          +

          +

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

          +

          General

          +
          • Bachelor’s Degree in Mathematics, Computer Science, Engineering or an equivalent technical field
          • A demonstrated history of analytic problem solving and sound judgment
          • Experience as an analyst or data scientist with a track record of accomplishments working on cross-functional teams
          • Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit high-quality documentation and be accepted as a trusted advisor by peers
          • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines
          • +
          +

          +

          Technical

          +
          • Strong fundamental understanding of statistics
          • 2+ years of overall experience in analytic roles developing and using predictive, risk and/or forecasting models
          • Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows)
          • 1 or more years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
          • Knowledge of credit risk models / scorecards
          • +
          +

          +

          Nice To Have's

          +
          • Proficient reading, writing and speaking Spanish (not required)
          • Experience developing credit risk models / scorecards
          • Domain expertise with any retail & small business banking products and/or risk management practices
          • FRM, CFA credentials
          • Experience training and deploying machine learning models using common Python open source frameworks (i.e., scikit-learn) and/or Python DevOps
          • Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI) power user
          • +Experience working with FICO / TSYS / CGI decision systems (TRIAD, OM, ACE, CACS)
          • +
          +

          What's In it For You?

          +
          • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
          • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
          • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
          • Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
          • A competitive compensation package
          • +
          +

          +

          Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Decisioning-Models-Retail-&-Small-Business-ON-M5H1H1/569576517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-26T19:44:57.496Z,False,0,2,30,https://talenthub.vectorinstitute.ai/jobs/238913584-manager-decisioning-models-retail-small-business-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Decisioning-Models-Retail-&-Small-Business-ON-M5H1H1/569576517/,published,2023-06-23T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +3f518422-be85-42b8-808c-6e68cbf9f4e8,243217474,Clearpath,Staff Perception Developer - Localization and Mapping,on_site,"Ontario, Canada",2023-07-05T02:18:07.597Z,"

          Description

          +

          Position: Staff Perception Developer - Localization and Mapping
          Location: Kitchener, Ontario
          Job Type: Full-Time Permanent
          Experience: 5-10 Years Relevant Work Experience
          Education: Graduate Degree in a related field
          Division: OTTO Motors

          +


          About OTTO Motors, a division of Clearpath Robotics

          +

          At OTTO Motors, we believe material handling is one of the most dangerous and unproductive parts of modern industrial operations. Our mission is to create safer, more productive and fulfilling workplaces with autonomous material handling technology. Most recently, OTTO Motors was recognized among the top 1% of Canada’s highest-performing global private companies by Communitech. Our loyal customers are also the most recognizable brands in the world and trust OTTO Motors to fulfill their mission-critical material handling needs: General Electric, Toyota, Hershey, Caterpillar, Berry Global, and more. For more information about us, visit www.ottomotors.com.

          +

          About the Job

          +

          We\'re looking for a driven, resourceful, motivated candidate for the Staff Perception Developer - Localization and Mapping position. This person will take a leading role in development of the next generation of perception algorithms to tackle the toughest challenges in localization and mapping, state estimation, computer vision and more.

          +

          The localization and mapping team’s primary responsibility is the development of the core robotics software responsible for environmental perception, mapping and localization on all our vehicles. You will be responsible for evaluating state-of-the-art ideas from academia and industry, and taking these ideas out of the lab and into the real world, identifying opportunities to improve, and developing high-performance software to run in real time on robots. As part of the perception team you will continue to advance the cutting edge of robotics research through collaboration with our academic partners and contributions to research publications and open source initiatives.

          +

          About You

          +

          For the role of Staff Perception Developer - Localization and Mapping, we are seeking an experienced developer and leader to drive the development of state-of-the-art localization and mapping solutions for real world applications.

          +

          Your primary responsibilities will be:

            -
          • Post-Secondary education or equivalent experience in a quantitative field preferred (Statistics, Mathematics, Computer Engineering/Science, or Operations Research)
          • -
          • Minimum of 3 years progressive experience analyzing structured and unstructured data, developing and executing on strategies and making strategic recommendations to management.
          • -
          • Proven track record of developing and implementing data models and solutions that drive value to organizations
          • -
          • Experience in working with statistical software applications (e.g. SAS, R, or Python)
          • -
          • Experience with SQL, Adobe Analytics and Google Analytics is an asset.
          • -
          • Strong MS Office (Excel, Access, PowerPoint) skills.
          • -
          • Excellent analytical, storytelling, and problem-solving skills.
          • -
          • Ability to distill and communicate complex analytic recommendations to both technical and non-technical partners, both orally and in written presentations.
          • -
          • Results oriented with a proven ability to be involved in multiple projects/initiatives of varying size and complexity, while prioritizing and balancing several tasks within a fast-paced work environment.
          • +
          • Design, architect, and lead the development of robust innovative solutions to the problems of robotic perception
          • +
          • Development of custom SLAM, localization, computer vision, and perception algorithms
          • +
          • Evaluation of new algorithms and sensing technology
          • +
          • Assisting with concept development for new products and projects
          • +
          • Supporting deployment and testing of robotic systems
          -

          -

          Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

          -

          -

          -

          Number of Openings:

          -

          1

          -

          -

          PC Financial recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

          -

          -

          In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

          -

          ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Data-Scientist--Acquisition-Strategy_R2000355657?q=analytics+ontario,aitalent@vectorinstitute.ai,https://www.loblaw.ca/en/careers.html,,,2023-08-03T19:12:19.592Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/243157384-data-scientist-acquisition-strategy-at-loblaw-companies-ltd,,published,2023-07-04T19:12:00.000Z,admin,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Bachelors Degree,New Posting, -bcd7ed83-0c3e-4a3c-bf60-00877899947e,243156857,TELUS,Senior Technical Product Manager - SmartHome Data and AI Solutions,on_site,"Toronto, ON, Canada",2023-07-04T18:59:08.615Z,"

          Our team and what we’ll accomplish together:

          -

          -

          We’re a Platform Product Management team on a mission to build an innovative platform that empowers companies globally to simplify, unify, and transform the smart living experience for their customers. We focus on enabling our Platform as a Service (PaaS) customers to offer differentiated SmartHome products and rapidly scale in their market. Your expertise in platform product management and deep understanding of the smart home market will play a critical role in shaping the future of smart living globally.

          -

          -

          Press Release: Redefining the connected home

          -

          -

          What you’ll do:

          -

          -

          You will be at the forefront, enabling contextual & personalized product experiences through the power of Artificial Intelligence (AI), Machine Learning (ML). You will product manage our platform’s data offerings including our AI/ML pipeline, data insights and reporting capabilities for our PaaS clients and core data infrastructure. You will collaborate closely with cross-functional teams, including engineering, privacy, regulatory, mobile app design, marketing, and operations, to create and manage the AI/ML and Data Lake roadmap. As part of an agile development program you will bring new features and capabilities to market by developing internal and external relationships that help drive detailed requirements and prioritizing the backlog for your development squad.

          -

          -

          Here’s how:

          -

            -
          • Develop our approach to data and AI/ML capabilities in alignment with the overall vision, goals, and opportunities
          • -
          • Collaborate with stakeholders to define data lake & AI/ML requirements, roadmap, and priorities
          • -
          • Partner closely with your squads from ideation and conceptualization to launch and post-launch optimization, ensuring timely delivery of high-quality platform services
          • -
          • Collaborate with engineering teams to translate platform requirements into technical specifications, ensuring the delivery of scalable, secure, and reliable PaaS solutions
          • -
          • Drive innovation and differentiation by identifying emerging trends, technologies, and market opportunities in the AI/ML, SmartHome and PaaS space
          • -
          • Define and monitor key performance indicators (KPIs) to evaluate the success and impact of your portfolio, making data-driven recommendations for continuous improvement
          • -
          • Collaborate with operations teams to ensure seamless integration, deployment, and ongoing maintenance of the PaaS platform across global markets
          • +
          • Collaboration with internal teams including controls and navigation, as well as academic and industrial partners
          • +
          • Stay up to the date with the latest developments from academia and industry
          -

          -

          -

          -

          -

          What you bring:

          -

          +

          Skills and experience:

            -
          • Significant Product Management experience, ideally with SmartHome, IoT and/or Platform as a Service
          • -
          • Experienced working with agile teams as a SCRUM Product Owner and using Jira, Confluence or equivalents
          • -
          • Technology background with understanding of: IoT, Artificial Intelligence, Machine Learning, API and others
          • -
          • Understanding of data governance, regulatory & privacy best practices
          • -
          • Recognized for your thought leadership, problem-solving skills and willingness to take on new initiatives
          • -
          • An expert storyteller who can craft messages that land with any audience including presentations to senior leadership
          • -
          • Known for your excellent communication, and ability to foster an environment of collaboration, and idea sharing
          • +
          • Graduate degree in engineering/CS or a related field, with applicable background.
          • +
          • Strong practical and theoretical knowledge in at least one or more areas of: state estimation, computer vision, SLAM, localization, mapping, calibration or sensor modeling.
          • +
          • Strong software development skills in modern C++.
          • +
          • Understanding of software development workflows, life cycles and development methodologies and tools.
          • +
          • Excellent leadership, teamwork, and communication skills.
          • +
          • Ability to independently develop software development plans, including scope, timelines, and test procedures.
          • +
          • Hands-on experience with real world autonomous systems.
          -

          -

          Great to have:

          -

          +

          Bonus points for:

            -
          • Bachelor's degree in Business, Data Science or AI/ML, Computer Science, Engineering, or a related field, advanced degree preferred
          • -
          • AWS certifications
          • +
          • Experience writing efficient, high performance code
          • +
          • ROS, Gazebo, OpenCV and PCL experience
          • +
          • Familiarity with graph optimization techniques and libraries such as Ceres, GTSAM and g2o
          • +
          • Understanding of sensor error modeling, particularly laser rangefinders and vision systems
          -

          -

          If you are passionate about creating innovative products that help to solve real-world problems, and have a track record of delivering successful technical products and services, then we encourage you to apply for this exciting opportunity!

          ",,https://careers.telus.com/job/Toronto-Senior-Technical-Product-Manager-SmartHome-Data-and-AI-Solutions-ON/570913517/,aitalent@vectorinstitute.ai,https://www.telus.com/en/about/careers,,,2023-08-03T18:59:10.607Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/243156857-senior-technical-product-manager-smarthome-data-and-ai-solutions-at-telus,,published,2023-07-04T18:59:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, -1f0b62aa-243c-403a-81e2-2c396e881991,242607572,TD Bank Group,Cloud Reporting and Analytics Manager,on_site,"Toronto, ON",2023-07-03T15:53:02.112Z,"
          -

          Company Overview

          -
          -

          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

          -

          Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

          -
          -

          -

          Department Overview

          -

          As Cloud Reporting and Analytics Manager, you will be a key partner to TD Public Cloud and Dev/SecOps leadership team and work cross functionally with product, business, finance, and engineering leaders. You will identify and execute on a variety of workflows related to understanding and reporting on key cloud metrics. You are a self-starter who can anticipate questions and future challenges and are eager to produce data driven insights through reporting and analytics for senior executive and leadership teams.

          -

          -

          Job Description

          -
            -
          • Building and maintaining dashboard on Power BI or Tableau powered by Azure native analytical services
          • -
          • Creating robust data model that provides economic, business, security and operational insights related to cloud adoption and consumption
          • -
          • Connecting data sets from various source using scripting language and establishing strong data governance.
          • -
          • Partnering with infrastructure, engineering, product, and business leaders to understand current cloud and devops pipeline reporting requirement patterns and optimization opportunities.
          • -
          • Building a process to ingest raw data, transforming, and loading data on cloud for executive reporting.
          • -
          • Improving business analytics capabilities of the team and demonstrating product leadership.
          • -
          • Lead data specialists and create roadmap for cloud analytics and reporting.
          • -
          -

          -

          Requirements

          -
            -
          • 5+ years of relevant engineering or data science or analytics related experience. Financial acumen is a desirable but not mandatory.
          • -
          • 2+ years’ experience with at least one public cloud provider (Azure preferred), including knowledge of cloud analytics suite of products and services.
          • -
          • Extensive experience with large and complex cloud environments
          • -
          • Experience with BI tools, SQL, data modelling, python scripting and various ETL tools (cloud native preferred)
          • -
          • Excellent data management and statistical analysis skills.
          • -
          • Ability to communicate with leadership and executive teams
          • -
          -

          -

          Hours

          -
          37.5
          -

          -

          Inclusiveness

          -

          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

          -

          -
          ",,https://jobs.td.com/en-CA/jobs/18680328/cloud-reporting-and-analytics-manager-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-08-03T15:37:39.978Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/242607572-cloud-reporting-and-analytics-manager-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18680328/cloud-reporting-and-analytics-manager-toronto-ca/,published,2023-07-03T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,No Degree,New Posting, +

          Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, gender identity/expression, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

          ",,http://jobs.jobvite.com/clearpath/job/ogf3mfwE,feed-importer@jobboard.io,,,,2023-08-05T17:31:28.981Z,False,0,1,33,https://talenthub.vectorinstitute.ai/jobs/243217474-staff-perception-developer-localization-and-mapping-at-clearpath,,published,2023-07-05T02:18:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Manufacturing ,Senior Level,Masters Degree,New Posting, f9741302-5070-481f-a210-86bf85088462,240674637,BMO Financial Group,"Senior Manager, Stress Testing Models & Analytics",on_site,"Ontario, Canada",2023-06-29T01:42:01.506Z,"

          Application Deadline:

          08/25/2023

          @@ -6125,514 +13120,507 @@ f9741302-5070-481f-a210-86bf85088462,240674637,BMO Financial Group,"Senior Manag

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

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

          -
          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Manager--Stress-Testing-Models---Analytics_R230008687?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-07-29T18:08:21.989Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/240674637-senior-manager-stress-testing-models-analytics-at-bmo-financial-group,,published,2023-06-29T01:42:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -7396ba05-e473-4f9b-b180-6f88c541fff6,237205982,Scotiabank,"SOAR - Early Talent Development Program for First Nations, Inuit, and Mtis peoples of Canada",on_site,Canada : Ontario : Toronto,2023-06-17T15:52:05.637Z,"

          -

          -

          -

          -

          Requisition ID: 153439

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

          -

          -

          SOAR – Early Talent Development Program for First Nations, Inuit, and Métis peoples of Canada

          -

          Graduating Students (24 months) *Remote/Hybrid*

          -

          Your Career within SOAR - First Nations, Inuit and Métis peoples of Canada Development Program:

          -

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

          -

          This program was designed to incorporate the teachings of many nations across Turtle Island to provide a culturally welcoming and supportive environment. When you begin your journey at Scotiabank, we will work with you to understand your interests and will find the best career journey to align with your skillset. Whether it be public speaking, community involvement, or those excel spreadsheet formulas, this program will create a pathway to a long-term career with Scotiabank.

          -

          What to Expect?

          -

          Dependent on which program is best suited for you, you will be placed within full-time employment and complete various rotations within one line of business (Technology, Global Banking & Markets, Canadian Banking, etc.). You will have the constant support of program managers who will help navigate you through your program which will entail peer networking, 1:1 mentorship, masterclass workshops, lunch & learns, and internal career fairs. While participating in your core curriculum, you will also have many opportunities to participate in cultural programming. You will come out of the program with an enhanced skill set and a deeper connection to the organization and your peers.

          -

          Does this sound like you?

          -
          • You identify as Indigenous (First Nations, Inuit and Métis peoples of Canada)
          • You’re interested in a career within the financial industry
          • You want to learn about various areas within the bank
          • You’re interested in having an impact with your peers and community
          • You want a culturally safe and supportive environment that helps you thrive to achieve your goals
          • You are in your final year of apprenticeship, certificate, diploma, undergraduate or graduate degree
          • -
          -

          How do I Apply?

          -

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

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

          -

          Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/SOAR-Early-Talent-Development-Program-for-First-Nations%2C-Inuit%2C-and-M%C3%A9tis-peoples-of-Canada/560070617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-19T21:21:21.335Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/237205982-soar-early-talent-development-program-for-first-nations-inuit-and-mtis-peoples-of-canada-at-scotiabank,https://jobs.scotiabank.com/job/SOAR-Early-Talent-Development-Program-for-First-Nations%2C-Inuit%2C-and-M%C3%A9tis-peoples-of-Canada/560070617/,published,2023-06-17T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Entry Level,No Degree,New Posting, -5dfe3d6f-8a29-491c-9d32-dbd61bd2693f,234341254,Multiverse Computing,Tensor Network Engineer Intern,hybrid,"Toronto, ON, Canada",2023-06-09T14:45:11.460Z,"

          This is a 8 month internship programme funded partly through the Mitacs program
          Salary budget for eight month is 20,000 CAD

          This position is based in Toronto, Canada and we work in Hybrid work environment requires 3 days a week from the office and up to 2 from home. Please apply if it works for you.

          As Tensor Network Engineer Intern, you will

          +
          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Manager--Stress-Testing-Models---Analytics_R230008687?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-07-29T18:08:21.989Z,False,0,2,28,https://talenthub.vectorinstitute.ai/jobs/240674637-senior-manager-stress-testing-models-analytics-at-bmo-financial-group,,published,2023-06-29T01:42:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +de5a7f5c-e8bb-42e3-b892-6d2bdf6c38e1,243217440,OMERS,"Manager, Data Governance",on_site,"Ontario, Canada",2023-07-05T02:18:03.354Z,"
          +

          +

          +

          The Manager, Enterprise Data Governance works with the Architecture, Infrastructure, Data and Analytics team, in the development and implementation of OMERS Data Governance program, including making contributions that raise the profile and understanding of Program principles and best practices across the organization.

          Reporting to the Director, Data Governance, you will play a pivotal role in defining data governance strategies, dimensions and maturity across the enterprise and creating related frameworks, reference architecture, processes and solutions to support this. This role will work closely with other data teams across the enterprise to ensure data governance standards and best practices are being applied consistently across the organization, particularly as it relates to data quality, metadata management, data cataloguing, data lineage, data retention and disposition, access management.

          +

          +

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

          +
          • Understanding OMERS business functions, activities, and transactions, as well as standard information and data governance best practices to contribute practical solutions in the development and implementation of the Data Governance Program
          +

          +

          Data Governance Policy Implementation and Maintenance

            -
          • Join a world-class team of Quantum experts with an extensive track record in both academia and industry.
          • -
          • Work with real world-wide customers across several industries.
          • -
          • Collaborate closely with the founding team in a fast-paced startup environment.
          • -
          • Implementations, Improvements/Optimisation
          • +
          • Working with business and other Data and Technology stakeholders to develop industry-informed strategies, solutions, frameworks, processes related to:
              +
            • Data Quality
            • +
            • Metadata Management
            • +
            • Data Cataloguing
            • +
            • Data Lineage
            • +
            • Data Retention and Disposition
            • +
            • Access management
            -
            YOUR PROFILE
            -

            Required Qualifications

            +
          • +
          • Contributes to the development of reporting requirements to monitor data compliance as well as KPIs and metrics to gauge the health and maturity of data governance program
          • +
          • Data Governance Program Communications and Training
          • +
          • Contributing to the development of appropriate materials and conducting training sessions related to data governance best practices and technologies
          • +
          +

          +

          Data Technology Design and Maintenance

            -
          • -Masters or PHD degree in Quantum Physics, Mathematics or related field or completing the same by Dec 2023.
          • -
          • Demonstrated knowledge and experience with Tensor Network numerical simulation methods, with a focus on machine learning and optimization
          • -
          • Python programming language
          • -
          • Strong basis in linear algebra and expertise in math for quantum computing and tensor algebraic methods.
          • -
          • Familiarity with Tensor Network libraries and/or relevant functions (ncon, cuTensorNet, TeNPy, Uni10, ITensor, TNT, or others).
          • -
          • Ability to work with a diverse team of people, both in-person and through online resources
          • -
          • Perfect command of English language
          • +
          • Conducting ad hoc analysis and validating data integrity across systems
          • +
          • Collaborating with stakeholders to identify opportunities to improve data accuracy and ensuring that data owners are accountable for data quality
          • +
          • Providing inputs on the design and development of data models for data warehousing and cataloging projects
          • +
          • Liaising with Data and Technology regarding the development of new information and data governance related applications, including requirements validation and testing
          • +
          • Providing data governance consulting services across the enterprise
          • +
          • Managing a team of data governance analysts dedicated to supporting the roll-out of data governance across the business
          -


          Preferred Qualifications

          -
          • Deep learning experience (tensorflow/pytorch)
          -
          WHY US?
          -

          Perks & Benefits

          +

          +

          To succeed in this role, you have:

            -
          • A mix of remote and office work.
          • -
          • Flexible working hours.
          • -
          • Equal Pay
          • -
          • Working in a high paced environment, working on cutting edge technologies.
          • -
          • Career plan. Opportunity to learn and teach.
          • -
          • Progressive Company. Happy people culture.
          • +
          • A minimum 8 years of work experience in data analytics with 5 years exp in data governance capability design, development and deployment
          • +
          • 3+ years in developing comprehensive business cases, strategies and roadmaps
          • +
          • 5+ years in financial services, preferably financial markets, investment management or pension plans
          • +
          • Bachelors/ master’s in engineering, math, statistics, or equivalent experience
          • +
          • Experience with the definition, implementation and support of metadata, data catalogue, data quality, data lineage, data access management and supporting processes, tools and technology
          • +
          • Working knowledge and understanding of data models
          • +
          • Experience with Data Governance tools such as Purview, Collibra, Informatica, IBM etc.
          • +
          • Experience in training and communicating to internal stakeholders about data governance principles and best practices
          • +
          • An outcome-oriented system thinking approach to solving sophisticated and often ambiguous problems to generate reusable solutions
          • +
          • Process engineering and automation opportunity identification and implementation
          • +
          • Ability to ideate with others at all levels, translate economic value, develop detailed business cases, value measurement and reporting
          • +
          • Ability to identify key business objectives and craft good storytelling around them leveraging multiple form factors from PowerPoint to web to in person presentations
          • +
          • Strong collaboration skills, are a great teammate, and are a proactive people manager
          • +
          • Previous experience with setting and tracking strategic/tactical OKRs and value measurement methodologies
          • +
          • A consistent track record in consultative relationship-building and gaining consensus for new programs and initiatives, including with executive audiences
          -

          Apply for this position

          -
          ABOUT US
          -

          Multiverse Computing is a well-funded and fast growing deep-tech company founded in 2019. We are one of the few companies working with Quantum Computing and the biggest Quantum Software company in the EU. The headquarters are in Spain with additional offices in Canada, France and Germany.
          We provide hyper-efficient software to companies wanting to gain an edge with quantum computing and artificial intelligence. Our product, Singularity, is a software as a service platform that contains quantum and quantum-inspired algorithms developed and patented through proof-of-concept trials we have been performing for industrial and service clients. We work in finance, energy, manufacturing, cybersecurity and many more industries.
          You will be working alongside world leading experts to build solutions that tackle real life issues. We look for passionate people that want to grow in an ethics driven environment, promoting sustainability and diversity. We aim to continue building our truly inclusive culture - come and join us!

          ",sonika.trehon@multiversecomputing.com,,sonika.trehon@multiversecomputing.com,https://multiversecomputing.com/,,,2023-07-12T19:03:00.000Z,False,1,0,72,https://talenthub.vectorinstitute.ai/jobs/234341254-tensor-network-engineer-intern-at-multiverse-computing,,published,2023-06-09T14:45:00.000Z,website,Scaling (20-499),Vector Quick Apply,"Financial Services, Software, Technology (Product Development)",Internship/Co-op,Masters Degree,New Posting, -3642d5b8-2ea9-4801-8a43-fd95d95efac9,236486569,Bell Canada,"Senior Data Engineer, Business Intelligence",on_site,"Toronto, Ontario",2023-06-15T19:22:03.179Z,"

          Req Id: 410238

          -

          -

          At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we’re revolutionizing how Canadians communicate.

          -

          -

          If you’re ready to bring game-changing ideas to life and join a community that values bold ideas, professional growth and employee wellness, we want you on the Bell team.

          -

          -
          -
          -
          -

          Summary

          -
          -

          As a Senior Data Engineer reporting to the Senior Manager of Finance, you will need to consult with various stakeholders to understand business and technology challenges, design solutions in partnership with other subject matter experts. The ideal candidate will deliver solutions that improve Finance efficiencies and insights. Using your Leadership, technical, Business Intelligence and Finance skills, you will build tools to improve speed and accuracy in reports and generate insights that will allow Finance Operations to analyze, predict and optimize business results.
          In particular, you will lead a team to create solutions and insight that combine, transform, analyze, share and catalyze consumption of financial results and related performance KPIs. The ideal candidate will leverage their leadership, technical, business, digital and creative competencies to drive information and insight from the large amount of data stored within our environments reporting status to the Senior Leadership.
          The ideal candidate will leverage your natural curiosity, in testing and learning various tools, models, media and design as you continually look for new ways to glean key insights from the data, display results, and engage the stakeholder community with relevant solutions.
          This unique position will expose you to the finance, BI, visualization and analytics fields. Leveraging leading edge enterprise technologies, process and governance will enable you to gather and share valuable information allowing us to better evaluate operational strategies while at the same time, from a finance perspective, allowing us to determine potential impact on future financial results.
          Working individually and leading a team, you will provide accurate and useful information to the appropriate audiences.
          The opportunity to communicate and work with employees & senior finance leadership from across the company, advocating the D&A CoE vision, will provide excellent networking opportunities.

          -
          -
          -
          -

          Key Responsibilities

          -
          -
            -
          • Lead a team of Data Engineers & Data Analyst
          • -
          • Create and maintain optimal data pipeline architecture
          • -
          • Assemble large, complex data sets that meet functional / non-functional business requirements.
          • -
          • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
          • -
          • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL ‘big data’ technologies.
          • -
          • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
          • -
          • Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.
          • -
          • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
          • -
          • Work with data and analytics experts to strive for greater functionality in our data systems.
          • -
          -
          -
          -
          -

          Critical Qualifications

          -
          -
            -
          • Candidate with 5+ years of senior experience working in the telecom industry on complex data sets
          • -
          • Strong leadership and high tolerance of ambiguity
          • -
          • Polished written and verbal communication skills
          • -
          • Experience leading team to build and optimize ‘big data’ data pipelines, architectures and data sets
          • -
          • Proven Leadership and business acumen, with demonstrated ability to influence and to be a trusted advisor to senior management
          • -
          • Advanced working SaS knowledge and experience working with relational databases, query authoring (PROC SQL).
          • -
          • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
          • -
          • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
          • -
          • Strong analytic skills related to working with unstructured datasets.
          • -
          • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
          • -
          • A successful history of manipulating, processing and extracting value from large disconnected datasets.
          • -
          • Strong organizational and communication skills.
          • -
          • Experience supporting and working with cross-functional teams in a dynamic environment.
          • -
          • We are looking for a candidate with 3+ years of experience in a Data Engineer role
          • -
          • Experience with relational databases SaS, Teradata, Oracle & MS SQL.
          • -
          -
          -
          -
          -

          Preferred Qualifications

          -
          -
            -
          • Telecom systems knowledge required (ie: P77, PBW, Network Capital)
          • -
          • Experience with data pipeline and workflow management tools.
          • -
          • Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: Alteryx, SaS EG, SQL Assistant, MS Office
          • -
          • Experience with big data tools: Hadoop, Spark, Kafka, “Cloud computing solutions”, an asset
          • -
          • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
          • -
          -
          -
          -

          -

          #EmployeeReferralProgram

          -

          -

          Adequate knowledge of French is required for positions in Quebec.

          -

          -

          Additional Information:

          -

          Position Type: Management
          Job Status:
          Regular - Full Time
          Job Location:
          Canada : Ontario : Toronto || Canada : Nova Scotia : Halifax
          Work Arrangement: Hybrid
          Application Deadline: 07/17/2023

          -

          -

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

          -

          -

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

          -

          -

          At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

          -

          -

          Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

          -

          -

          Created: Canada, ON, Toronto

          -

          -

          Bell, one of Canada's Top 100 Employers.

          ",,https://jobs.bell.ca/ca/en/job/BECACA410238EXTERNALENCA/Senior-Data-Engineer-Business-Intelligence?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2023-07-16T01:27:06.678Z,False,0,1,32,https://talenthub.vectorinstitute.ai/jobs/236486569-senior-data-engineer-business-intelligence-at-bell-canada,BECACA410238EXTERNALENCA,published,2023-06-15T19:22:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, -a87a87a0-a350-4a44-98b5-0d72a0e8ae06,238913584,Scotiabank,"Manager, Decisioning Models - Retail & Small Business",on_site,Canada : Ontario : Toronto,2023-06-23T15:52:04.148Z,"

          -

          -

          -

          -

          Requisition ID: 176964

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

          -

          -

          The world is changing faster than ever and so are we!

          -

          -

          Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

          -

          Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

          -

          -

          What You'll do in this Role?

          -

          As a Manager, you will report directly to a Senior Manager or Director and be a critical member of a team overseeing a portfolio of decisioning models and supporting analytic processes. You will support – from conception through execution and governance – the risk decisioning models used by 2 or more of the bank’s retail and small business product lines, across the entire customer lifecycle. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Model Operations, Product, Risk Strategy & Risk Management, Model Validation and Governance, Technology & Data, Finance, Legal, Compliance and Audit.

          -

          -

          Your team will have access to both traditional SAS tools and a modern machine learning stack that includes on-premise GPU computing, open source Jupyter development environments, a Hadoop cluster, containerized API model deployment and data visualization business intelligence tools.

          -

          -

          Under the guidance of your Director, your team of risk modeling experts will use these tools to develop advanced risk prediction models that will be used potentially millions of times, every year and therefore need to be not only accurate and precise, but highly stable, explainable, compliant, secure and useful. You will be responsible for understanding the goals & priorities set for you, executing them efficiently with a perpetual eye on quality, asking questions often and delivering results in harmony with your teammates.

          -

          -

          Is This Role Right for You?

          -
          • You believe, first and foremost, in always doing the right thing and doing things the right way
          • You are both deeply curious and highly pragmatic
          • You are comfortable with ambitious but realistic goals and are committed to achieving them
          • You are social, engaging, not afraid to ask questions and relish the opportunity to learn from business partners (the majority of whom will be far less technical than you)
          • You relish the implication and yet also understand the responsibility and weight that comes with the fact that every single time your model is used, it impacts a real human being
          • You understand the difference between accuracy and precision and get excited by really great KS values and ROC curves
          • You have a genuine love, passion and talent for programming, data, and predictive modeling
          • You are comfortable initiating conversations and collaborating with diverse personalities
          • You are committed to quality in everything you do – statistically, process and governance wise
          • You look forward to sharing your insights with your peers through high-quality effective verbal and written communications
          • -You are professional, motivated AND FUN. We mean it.
          • -
          -

          Sample projects that you might work on include:

          -
          • Complete specialized analysis, develop creative statistical solutions and recommend improvements to estimation techniques, risk rating systems and/or internal or vendor-developed credit risk models
          • Collaborate with risk management teams, external vendors, technology, and country risk counterparts as well as other stakeholders (i.e. audit, product) to ensure consistent and effective governance, measurement and communication of models / scorecards and their performance
          • Conduct research of new innovative modeling methodologies, tools and regulatory requirements; develop new methodologies for model development, monitoring and reporting
          • Lead the periodic review and maintenance of credit risk models / scorecards
          • Identify, promote and lead process improvements for model development and monitoring
          • Ensure that the data used for model development is reliable and robust and that it adheres to industry and regulatory standards
          • -
          -

          -

          What Are We Looking For?

          -

          We want talented pragmatic analytically oriented data scientists who are equally at home interpreting and applying statistics as they are ingesting and massaging data, translating regulatory requirements into models and explaining complex issues in simple concise ways. We want bright and energetic minds who come armed with a bottomless sense of curiosity about everything (great models and analytics are about so much more than just the numbers!), a passion for getting things done right – the first time – and a deep sense of personal and professional accountability.

          -

          -

          To be a Manager in Retail Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you also need to be a collaborative team player who actively listens to stakeholders and customers because you are passionate about helping them win and you need to be interested in building something lasting and great. Working with customers across the bank to understand and translate their needs into outcomes, exploring both novel and legacy data sets and methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that your team “owns” will all be equally important.

          +

          +

          +

          +

          +

          Our story:

          +

          Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

          +

          +

          OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

          +
          ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Manager--Data-Governance_JR-4803?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-08-05T17:00:28.127Z,False,0,1,48,https://talenthub.vectorinstitute.ai/jobs/243217440-manager-data-governance-at-omers,,published,2023-07-05T02:18:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +7396ba05-e473-4f9b-b180-6f88c541fff6,237205982,Scotiabank,"SOAR - Early Talent Development Program for First Nations, Inuit, and Mtis peoples of Canada",on_site,Canada : Ontario : Toronto,2023-06-17T15:52:05.637Z,"

          -

          We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

          -

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

          -

          General

          -
          • Bachelor’s Degree in Mathematics, Computer Science, Engineering or an equivalent technical field
          • A demonstrated history of analytic problem solving and sound judgment
          • Experience as an analyst or data scientist with a track record of accomplishments working on cross-functional teams
          • Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit high-quality documentation and be accepted as a trusted advisor by peers
          • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines
          • -

          -

          Technical

          -
          • Strong fundamental understanding of statistics
          • 2+ years of overall experience in analytic roles developing and using predictive, risk and/or forecasting models
          • Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows)
          • 1 or more years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
          • Knowledge of credit risk models / scorecards
          • -
          +

          Requisition ID: 153439

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

          -

          Nice To Have's

          -
          • Proficient reading, writing and speaking Spanish (not required)
          • Experience developing credit risk models / scorecards
          • Domain expertise with any retail & small business banking products and/or risk management practices
          • FRM, CFA credentials
          • Experience training and deploying machine learning models using common Python open source frameworks (i.e., scikit-learn) and/or Python DevOps
          • Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI) power user
          • -Experience working with FICO / TSYS / CGI decision systems (TRIAD, OM, ACE, CACS)
          • -
          -

          What's In it For You?

          -
          • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
          • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
          • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
          • Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
          • A competitive compensation package
          • +

            SOAR – Early Talent Development Program for First Nations, Inuit, and Métis peoples of Canada

            +

            Graduating Students (24 months) *Remote/Hybrid*

            +

            Your Career within SOAR - First Nations, Inuit and Métis peoples of Canada Development Program:

            +

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

            +

            This program was designed to incorporate the teachings of many nations across Turtle Island to provide a culturally welcoming and supportive environment. When you begin your journey at Scotiabank, we will work with you to understand your interests and will find the best career journey to align with your skillset. Whether it be public speaking, community involvement, or those excel spreadsheet formulas, this program will create a pathway to a long-term career with Scotiabank.

            +

            What to Expect?

            +

            Dependent on which program is best suited for you, you will be placed within full-time employment and complete various rotations within one line of business (Technology, Global Banking & Markets, Canadian Banking, etc.). You will have the constant support of program managers who will help navigate you through your program which will entail peer networking, 1:1 mentorship, masterclass workshops, lunch & learns, and internal career fairs. While participating in your core curriculum, you will also have many opportunities to participate in cultural programming. You will come out of the program with an enhanced skill set and a deeper connection to the organization and your peers.

            +

            Does this sound like you?

            +
            • You identify as Indigenous (First Nations, Inuit and Métis peoples of Canada)
            • You’re interested in a career within the financial industry
            • You want to learn about various areas within the bank
            • You’re interested in having an impact with your peers and community
            • You want a culturally safe and supportive environment that helps you thrive to achieve your goals
            • You are in your final year of apprenticeship, certificate, diploma, undergraduate or graduate degree
            +

            How do I Apply?

            +

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

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

            -

            Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Decisioning-Models-Retail-&-Small-Business-ON-M5H1H1/569576517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-26T19:44:57.496Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/238913584-manager-decisioning-models-retail-small-business-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Decisioning-Models-Retail-&-Small-Business-ON-M5H1H1/569576517/,published,2023-06-23T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -c2345f15-137f-4d2c-86bf-f7a4b59f66ce,242607501,Scotiabank,"Manager, Data Ethics Governance & Operations - CID&A",on_site,Canada : Ontario : Toronto,2023-07-03T15:52:03.380Z,"

          -

          -

          -

          -

          Requisition ID: 180448

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

          -

          -

          Purpose:

          -


          The CIDA team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is used, shared, and accessed at an enterprise level. The aim is to provide transparent, robust, and ethical data practices across the enterprise to enhance the protection of our customers’ data, and the way we deliver business value. We are looking to build our delivery team with influencers, makers, creators, and industry leaders who will drive us forward.

          -


          The role of the Manager, Data Ethics Governance & Operations will be responsible for:

          -

          -
          • Enabling the Bank’s adoption of the Data Ethics Framework with a Global scope
          • Defining and implementing industry-leading data ethics practices and processes
          • Supporting, facilitating, and monitoring the organization’s efforts to adhere to the Data Ethics Framework
          • Supporting day-to-day BAU operations of the team (reporting, metric/KPI/Audit tracking, etc,).
          • +

            Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Toronto-SOAR-Early-Talent-Development-Program-for-First-Nations%2C-Inuit%2C-and-M%C3%A9tis-peoples-of-Canada-ON/560070617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-19T21:21:21.335Z,False,0,1,20,https://talenthub.vectorinstitute.ai/jobs/237205982-soar-early-talent-development-program-for-first-nations-inuit-and-mtis-peoples-of-canada-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-SOAR-Early-Talent-Development-Program-for-First-Nations%2C-Inuit%2C-and-M%C3%A9tis-peoples-of-Canada-ON/560070617/,published,2023-06-17T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Entry Level,No Degree,New Posting, +3dbadb43-84aa-481d-a47a-47d704a28d2b,243955843,OMERS,BI Data Engineer (6-Month Contract),on_site,"Ontario, Canada",2023-07-07T02:18:02.089Z,"
          We are looking for a BI Data Engineer with Azure Data Engineering experience to join our team. As a key member of the Enterprise Data and Advanced Analytics team, this role is instrumental in enhancing data & analytics capabilities by championing industry best practices and delivering high quality reports and training to enhance business decision making. They help translate complex solutions to digestible business-centric outcomes and will do so by building interactive data visualizations using Power BI and sophisticated data models.

          They will work with business-unit leaders to identify and prioritize problems that analytics is suited to solve and help identify the data (internal or external) needed to produce the most useful insights. In addition to being responsible for end-to-end solutions that business users can execute on, they also work towards driving adoption among business users. The individual will support and collaborate with data engineers, data scientists and business users and engage in technical support, research and knowledge sharing through the implementation lifecycle of projects and solutions. The ideal candidate is one that strives to evolve through their career and transition into a data scientist role in the near future by taking advantage of the tremendous learning and collaboration opportunity this role provides.

          +

          +

          Key Responsibilities:

          +
            +
          • Designing and building interactive insightful data products using Power BI, ML and Azure
          • +
          • Developing and monitoring Azure data pipelines, Power BI Premium Dataflows to gather, transform and democratize structured and unstructured data assets
          • +
          • Deploying ETL pipelines to achieve a high level of reliability, scalability, and security.
          • +
          • Designing and developing ETL pipelines to achieve a high level of reliability, scalability, and security. Sourcing, transforming, and delivering structured and unstructured assets for use in Azure Synapse Analytics, Azure Data Factory, SQL Server, Azure Data Lake
          • +
          • The candidate should have a strong command of Pyspark, a Python library for distributed data processing and analysis
          • +
          • Knowledge of Postman, the candidate should be able to effectively design, test, and debug APIs, ensuring their functionality and reliability within our software ecosystem
          • +
          • The candidate should have experience in creating dataflows using Azure Data Factory and familiarity with the Medallion Architecture is highly desirable
          • +
          • The candidate should be well-versed in the concepts and techniques of the Kimball Methodology, which emphasizes building data warehouses that are optimized for business intelligence and reporting. Proficiency in dimensional modeling, including the creation of star schemas and snowflake schemas, is essential
          • +
          • The ideal candidate will have the ability to document technical specifications, workflows, and guidelines, ensuring clear and concise communication across the team and stakeholders
          • +
          • The ideal candidate will possess strong communication and leadership skills to guide and support the team in adopting and implementing industry-leading data engineering practices
          • +
          • Identifying, defining, and implementing opportunities for enhancing existing processes
          • +
          • Defining and implementing technical test plans and perform unit and integration testing
          • +
          • Operating in an Agile development environment
          • +
          • Managing change and communicating impacts to stakeholders and fellow team members
          • +
          • Leading multiple projects simultaneously and ensuring on-time delivery
          -

          -

          We are looking for someone who will make key contributions in developing, planning, and executing the adoption of processes and tools that enable ethical data use, third party data sharing frameworks, and streamlining data access rights. This role will work closely with our legal, privacy, data office, analytics, and technology teams in the bank to design, develop, and execute processes for the ethical use of data.

          -


          Key Accountabilities:

          -

          -
          • Conduct the review process, on a global scale, for:
          • Data Sensitivity: to classify sensitive data as part of the Bank’s data management processes
          • Ethics Assistant: to provide ethical guidance and oversight to data use cases, including the development and use of AI/ML models
          • Consult with and advise model practitioners and analytics stakeholders on analytical techniques that drive towards fairness and more ethical outcomes for customers.
          • Ensure business stakeholder understanding, alignment and commitment to the objectives of the data ethics framework
          • Develop strong working relationships with partners across the organization, to ensure consistency and alignment on best practices
          • Document and maintain operational procedures for data ethics processes and practices.
          • Track and report on process performance and adherence, identifying areas of improvement and recommending practical and innovative solutions
          • Contribute to the remediation and closure of audit issues within stipulated deadlines
          • Participate in planning and retrospective sessions, attend stand-ups, etc. - we work in an agile environment
          • +

            +

            Qualifications:

            +
              +
            • +Experience. 5+ years solving sophisticated technical data projects using the Microsoft Azure data stack is required
            • +
            • +Industry Knowledge. The ability to quickly propose Azure Data Platform solutions by recalling the latest standard processes learned from MVP & Product Team articles, MSFT documentation, whitepapers, and community publications is required
            • +
            • +Relationship Building. A proven track record of building deep technical relationships. Experience in setting expectations across various partners.
            • +
            • +Problem-Solving. Must be able to trace data lineage / workflows and resolve technical issues with minimal supervision. Demonstrated proficiency in understanding and implementing business workflows is a plus.
            • +
            • +Teamwork. Motivated and keen to work in a collaborative environment with a focus on team success over and above individual success.
            • +
            • Breadth of technical experience and knowledge across the Azure Data Platform, with depth Domain Expertise in two or more of the following Data Platform resources is required:
                +
              • Azure Databricks using PySpark
              • +
              • Azure Synapse & Azure Data Factory
              • +
              • SQL Server Data Tools
              • +
              • Azure Machine Learning
              -


              Functional Competencies:

              -

              -

              -
              • 3+ years of experience in business/financial services
              • 3+ years of experience with data analytics, statistical methodologies, and/or machine learning techniques
              • Thorough knowledge of data governance, privacy, and risk management processes, concepts, and controls
              • Strong communication skills, both written and spoken – delivering clear requests for information and communicating potential conflicts
              • Strong interpersonal skills, able to effectively build relationships and collaborate with partners
              • Ability to present ideas and facilitate discussions to guide towards desired outcomes
              • Able to work independently and act with good judgement, demonstrating creativity and perseverance in problem solving
              • Results orientation and pragmatic approach to decision making
              • Self-motivated, solution driven individual and adaptable to a fast-paced environment
              • Spanish language skills is a strong asset
              • + +
              • Excellent written, verbal, and presentation skills targeted at all levels of the organization
              -

              +

              +

              +

              +

              +

              Our story:

              +

              Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

              +

              +

              OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

              +
          ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/BI-Specialist--6-Month-Contract-_JR-4967?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-08-16T17:00:54.320Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/243955843-bi-data-engineer-6-month-contract-at-omers,,published,2023-07-07T02:18:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,No Degree,New Posting, +0a5e5d0d-f918-412e-9bac-70959bcc3cef,246379608,BMO Financial Group,Senior Risk Analyst,on_site,"Ontario, Canada",2023-07-14T01:42:02.611Z,"
          +

          Application Deadline:

          07/20/2023

          +

          +

          Address:

          250 Yonge Street

          +

          +

          Job Family Group:

          Data Analytics & Reporting

          +

          +

          Join our dynamic team as a Senior Risk Analyst, specializing in market risk analysis. In this role, you will play a crucial part in our release testing process and contribute to the enhancement and maintenance of our risk system. The ideal candidate has, at least 1-3 years of relevant experience in market risk, with a specific focus on FRTB (Fundamental Review of Trading Book). Your expertise in risk management metrics, including VAR, stress test, and limit monitoring, will be essential in assessing and mitigating risks.

          +

          +

          As a Senior Risk Analyst, you will collaborate with cross-functional teams- including Market and Counterparty Credit Risk Infrastructure teams, Global Markets Engineering, Risk Oversight, Model Vetting among others, to ensure the accuracy and efficiency of our risk reporting. Additionally, exposure to project management and release testing is highly valued. While CFA or FRM Certifications are nice-to-haves, your practical experience and knowledge in market risk are key to your success in this role.

          +

          +

          This position is located in Toronto. The role offers a dynamic work environment, allowing for flexibility to manage your work activities within a hybrid work arrangement where you will spend at least two days per week onsite, while other days will be remote.

          +

          +

          If you’re looking for your next dream job, consider this one in BMO’s ERPM Risk group where every colleague helps protect and grow the bank by providing independent review and oversight of enterprise-wide risks, working together to maintain a risk management framework and fostering a strong risk culture. #ERPMDreamJobs

          +

          +

          +

          Supports the execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies. Supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance and minimizes risk.

          +
            +
          • Breaks down strategic problems, and analyses data and information to provide insights and recommendations.

          • +
          • Acts as a resource for team members with less experience

          • +
          • Leads or assists with the maintenance, monitoring, measurement & reporting on the status of the risk reporting strategies performance.

          • +
          • Designs, develops, and implements reporting solutions to meet management and regulatory reporting requirements.

          • +
          • Provides advice and guidance to assigned business/group on implementation of analytical and reporting solutions.

          • +
          • Executes work to deliver timely, accurate, and efficient service for scheduled reporting production processes.

          • +
          • Supports the maintenance, monitoring, and measurement of key risk indicators to internal & external stakeholders.

          • +
          • Analyses data and information to provide risk-related insights and recommendations for the assigned portfolio e.g. capital at risk modeling, risk/return assessments, etc.

          • +
          • Supports the interpretation of internal and external policies and regulatory requirements relevant to the analytics and reporting mandate e.g. regulatory reporting.

          • +
          • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.

          • +
          • Ensures strong governance and effective controls across risk reporting activities and information in accordance with enterprise standards.

          • +
          • Analyzes data and highlights significant information including variances, trends, opportunities and exposures; escalates as required.

          • +
          • Provides information and supports the process for internal and external audits.

          • +
          • Gathers and formats data into regular and ad-hoc reports, and dashboards.

          • +
          • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.

          • +
          • Builds effective relationships with internal/external stakeholders.

          • +
          • Supports the maintenance of operational procedures and processes related to analytical and reporting processes.

          • +
          • Supports the development of tools and delivery of training focused on awareness and understanding of key data elements used in risk reporting.

          • +
          • Participates in the design, implementation and management of core business processes to ensure the accuracy of risk data used in reporting.

          • +
          • Organizes work information to ensure accuracy and completeness.

          • +
          • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.

          • +
          • Exercises judgment to identify, diagnose, and solve problems within given rules.

          • +
          • Works independently on a range of complex tasks, which may include unique situations.

          • +
          • +

            Broader work or accountabilities may be assigned as needed.

            +

            Qualifications:

            +
          • +
          • Typically between 1 - 3 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

          • +
          • Knowledge of risk management metrics, KPIs and KRIs.

          • +
          • Knowledge of industry trends and regulatory requirements for risk reporting.

          • +
          • Product knowledge for the designated business/portfolio.

          • +
          • Knowledge of risk management theory, processes and portfolio management reporting techniques.

          • +
          • Knowledge of reporting & analytics concepts and applications.

          • +
          • Knowledge of risk systems technology.

          • +
          • Technical proficiency gained through education and/or business experience.

          • +
          • Verbal & written communication skills - In-depth.

          • +
          • Collaboration & team skills - In-depth.

          • +
          • Analytical and problem solving skills - In-depth.

          • +
          • Influence skills - In-depth.

          • +
          • Data driven decision making - In-depth.

          • +
          +

          +

          +

          We’re here to help

          +

          +

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

          +

          +

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

          +

          +

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

          +

          +

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

          +

          +

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

          +
          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Analyst_R230010689-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-08-16T22:47:05.959Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/246379608-senior-risk-analyst-at-bmo-financial-group,,published,2023-07-14T01:42:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +43072148-332b-4673-9cd3-31bf8d884260,246390312,Sun Life Financial,Senior Data Engineer,on_site,"Ontario, Canada",2023-07-14T02:15:02.030Z,"
          +

          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

          +

          +

          +

          Job Description:

          +

          +

          At Sun Life, we work together, share common values and encourage growth and achievement. We offer many career paths that attract a wide variety of talent and skills. Follow a path that lets your talents shine.

          +

          +

          Role Summary:

          +

          +

          The Client Experience Office (CXO) is an important pillar of Sun Life’s corporate strategy and as such, is seeking experienced data engineering individuals with a proven track record working with data consumers to extract meaningful insights from enterprise data. Senior Business data engineers play an indispensable role in assembling the necessary data products that fuel myriad of analytical models used by our various business units across Canada.

          -

          Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Manager%2C-Data-Ethics-Governance-&-Operations-CID&A/571631317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-03T14:41:32.453Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/242607501-manager-data-ethics-governance-operations-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Manager%2C-Data-Ethics-Governance-&-Operations-CID&A/571631317/,published,2023-07-03T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,No Degree,New Posting, -4b339239-17cc-4d32-8e01-d0abfe23198a,239887338,TD Bank Group,Data Scientist I,on_site,"Toronto, ON",2023-06-26T15:53:01.748Z,"
          -

          Company Overview

          -
          -

          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

          -

          Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

          -
          +

          Reporting to the Manager of Data Engineering, the Senior Business Data Engineer will be a key member of Data Enablement Team responsible for building enriched data products that provide deep insights about our Client, Advisor, Product, Transactions along with their intricate relationships. The Senior Business Data Engineer will work with data analysts and data scientists to help answer complex business enquires such as identifying new business opportunities, understanding our client behavior and optimizing areas of our sales cycles.

          -

          Department Overview

          -

          We are looking for world-class engineers to tackle cutting-edge problems of applying Machine Learning (ML) in the real world. Working across TD, you will be part of a leading financial services brand, have access to some of the largest datasets and innovate with leading machine learning scientists and engineers. Unleash the power of Machine Learning by helping us engineer models that scale and are rapidly deployable and, in the process, positively impact millions of customers. The goal of the team is to develop framework and automation solutions to help build and deploy robust and high-performing models through introducing software engineering best-practices.

          +

          What will you do?

          +
            +
          • Obsessed with understanding our enterprise data and interpreting it in the best way possible to derive business value

          • +
          • Design and engineer data models that represent our key business entities such as our Advisor, Client & Product

          • +
          • Ensure high level of data quality and data integrity are maintained across data sources for business

          • +
          • Convert complex business and technical rules into logic for data flows and data pipelines

          • +
          • Work with our Data Science teams to implement data products for various use cases

          • +
          • Collaborate with stakeholders and incorporate into solution design for various use case requirements

          • +
          • Standardize metadata into a common glossary along with the necessary documentation for data consumers

          • +

          -

          Job Description

          -
          -

          About this Role

          -

          As Machine Learning Engineer at TD, you will work with ML Scientists to learn their modelling workflow, so that you can design abstractions and build components that can be combined to build high quality models. You will work to develop and/or integrate tools that help with model monitoring, governance and explainability. You will work with ML Platform team to make sure these models can be trained and deployed on our computing infrastructure, taking advantage of cloud technologies like Azure Kubernetes and more.

          -

          Must-Have

          +

          What do you need to succeed?

            -
          • Experience working on high-performance engineering teams and being part of cross-functional delivery teams
          • -
          • Experience with building and scaling data-intensive software in Python
          • -
          • Knowledge of machine learning modelling workflow and manage machine learning lifecycle
          • -
          • Experience building and manage a machine learning data pipeline
          • -
          • You value good software design and sweat over details in code and API design
          • -
          • You enjoy learning new technology and educating others
          • -
          • You strive to communicate clearly and with empathy
          • -
          • You take great personal pride in building robust and scalable software
          • -
          • You are highly accountable and have a strong sense of ownership
          • -
          • Ability to do detailed code reviews and give thoughtful feedback
          • +
          • 3-5 years hands-on experience working on AWS technologies for data processing and analytics

          • +
          • 2+ years experience with AWS Glue for ETL

          • +
          • 3 years experience in Pyspark and SQL

          • +
          • 5 years hands-on experience with relational database systems, relational models, dimensional models etc.

          • +
          • 3-5 years experience with engineering data products as input to various analytical models

          • +
          • 3-5 years building feedback loops between model deployment and its data – i.e. tune & tweak data products to achieve scale, optimization, etc.

          • +
          • Sound understanding of data management principles (data warehousing, data quality, master data management, etc.)

          • +
          • Sound understanding of data modelling and a passion for analytics

          • +
          • Proven track record in leveraging SQL and SQL-based programming to solve business problems

          • +
          • Ability to translate complex business requirements into a set of data ingestion pseudocode

          • +
          • Proven ability to leverage knowledge of data engineering to extract, conform and integrate a variety of operational data sources into pro‐duction-grade data products

          • +
          • Demonstrate blend of tenacity, creativity, and discipline required to develop ground breaking self-serve data models that data scientists can consume

          • +
          • Excellent verbal and written communication skills; have executive presence and proven ability to partner with Data Scientists to articulate insights gleaned from the model and the underlying data

          -

          Nice to have:

          +

          +

          Education and Qualifications:

            -
          • Experience building a library or a framework
          • -
          • Knowledge of machine learning algorithms
          • -
          • Experience with Azure cloud stack
          • -
          • Data analytics
          • -
          • Knowledge with C++
          • -
          • Knowledge of one of javascript framework, such as React, Vuejs or Angular
          • +
          • Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent

          • +
          • Graduate degree in business or quantitative science strongly preferred

          -

          -

          Requirements

          -
          -What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

          +

          Unique Requirements

            -
          • University or post-graduate degree
          • -
          • Strong academic background (e.g., computer science, engineering)
          • -
          • 2+ years relevant experience
          • +
          • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

          • +
          • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

          • +
          +

          +

          What would be nice to have?

          +
            +
          • Understand and Embrace Agile Operating Model

          • +
          • Proven Experienced working as Product Owner in Scrum or Service Request Manager in Kanban projects

          • +
          • Experience working in a large financial services organization

          • +
          • Knowledge of fundamental statistical models & techniques

          • +
          +

          +

          What\'s In It For You?

          +
            +
          • Great Place to Work® Certified in Canada and the US - 2022

          • +
          • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

          • +
          • Named “Best Places to Work” by Glassdoor - 2021

          • +
          • Canada Award for Excellence for Mental Health at Work - 2021

          • +
          • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid, #LI-Remote

          • +
          • Competitive salary and bonus structure influenced by market range data

          • +
          • Pension, stock and savings programs to help build and enhance your future financial security

          • +
          • A friendly, collaborative, and inclusive culture

          • +
          • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

          • +
          • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

          • +
          +

          +

          +

          The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

          +

          +

          Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

          +

          +

          Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

          +

          +

          At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

          +

          +

          We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

          +

          +

          Salary Range:

          74,100/74 100 - 120,800/120 800

          +

          Job Category:

          Advanced Analytics

          +

          Posting End Date:

          30/07/2023
          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Engineer_JR00080511?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-08-16T22:56:52.307Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/246390312-senior-data-engineer-at-sun-life-financial,,published,2023-07-14T02:15:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +312785b8-90ba-481b-b726-8501cf76424a,246389925,Vector Institute,"Applied ML Scientist, Health Lead",on_site,"Ontario, Canada",2023-07-14T02:12:02.902Z,"

          JOB DESCRIPTION

          +

          Applied ML Scientist, Health

          +

          POSITION OVERVIEW

          +

          As an Applied ML Scientist - Health, you will provide technical leadership and contribute to focused research breakthroughs and applications to solve real-world health problems with machine learning and AI. You will provide guidance and work with some of the best and brightest data scientists and machine learning (ML) engineering staff from leading industry and health organizations. You will collaborate with some of the leading machine learning researchers, data scientists and AI engineering teams. Publishing research papers on applied research is a part of this role, but the greatest focus is on the impact of applications, not on the quantity or quality of publications. We are seeking a scientist with research experience in Responsible AI in a deep learning context. Experience in Fairness, Explainability, Privacy, AI Safety, Recommender Systems, and Natural Language Processing are all valuable areas of knowledge for this role. This position is an individual contribution position and focused on providing technical leadership in implementation focused applied ML in health settings.

          +

          +

          RESPONSIBILITIES

          +
            +
          • Lead research and implementation of varied machine learning and deep learning techniques in the health domain;
          • +
          • Work in collaboration with Vector’s Health team, and health sector partners to identify challenges in the health domain that can be solved using advanced ML techniques such as NLP, Computer Vision, Generative Models etc.;
          • +
          • Provide technical guidance to AI Engineering team members and lead delivery of applied ML projects in health;
          • +
          • Provide scientific advice regarding overall machine learning application strategies and roadmaps for the health domain;
          • +
          • Work in collaboration with Researchers, Machine learning specialists, and Vector affiliates to build demos, minimum viable products (MVP), reference implementations, and prototypes;
          • +
          • Provide scientific oversight for Vector-led or co-led efforts to prepare and present machine learning research in the health domain;
          • +
          • Serve as the lead Vector scientific contributor for health, including contributing to or leading the authoring of peer-reviewed research papers;
          • +
          • Contribute to training sessions and other initiatives for Vector’s professional staff and stakeholders that help increase AI knowledge and capacity of the health system to recognize and act on opportunities to apply machine learning;
          • +
          • Serve as an expert and facilitate identification of experts among Vector’s research community for external stakeholders to advise on machine learning research trends and applications;
          • +
          • Perform other functions as required e.g., providing scientific advice and technical support to other members of Vector’s leadership team and corporate projects led by Vector.
          • +
          +

          +

          PROFILE OF IDEAL CANDIDATE

          +
            +
          • PhD degree in computer science or computer engineering with a research focus on machine learning required;
          • +
          • Demonstrated expertise in one or more of: ML for health, Explainable AI, AI Safety, privacy for AI/ML, AI governance, Nature Language Processing (NLP), Natural Language Understanding and generation;
          • +
          • Demonstrated experience applying machine learning research to novel problems and data sets;
          • +
          • Experience with software engineering and/or data engineering is considered an asset;
          • +
          • Strong knowledge and experience of Python;
          • +
          • Experience with parameter and architecture tuning of deep learning algorithms;
          • +
          • Experience using open source deep learning software frameworks (e.g, PyTorch, Tensorflow, JAX); and,
          • +
          • Experience with recommendation systems is considered an asset.
          • +
          +

          +

          KEY SUCCESS MEASURES

          +
            +
          • Vector is successful in implementing its health strategy (including the strategic goal to support the widespread application of Health AI) and the industry sponsor retention strategy
          • +
          • Stakeholders that would otherwise be unable to utilize machine learning techniques are supported in identifying problems amenable to AI, and in utilizing machine learning
          • +
          • Following interactions with the Vector team, external stakeholders are positioned to perform, or secure external resources to perform, their own machine learning deployment independent of direct Vector involvement
          • +
          +

          ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=9200420850870_2&jobId=447769&lang=en_CA&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2023-08-16T22:55:51.952Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/246389925-applied-ml-scientist-health-lead-at-vector-institute,,published,2023-07-14T02:12:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Team Lead,PhD,New Posting, +c346abf0-8aa8-4694-b169-b5ff8cb5b4a4,247347040,Scotiabank,"Senior Manager, Data Analytics & Governance",on_site,Canada : Ontario : Toronto,2023-07-16T15:52:02.714Z,"

          +

          +

          +

          +

          Requisition ID: 179743

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

          +

          +

          Purpose of Job:

          +

          +

          Working within Global Risk Management (GRM), the Senior Manager, Data Analytics & Governance focuses on data driven analyses resulting in useful insights that improve the Bank’s Operational Risk performance. Additionally, the role contributes to the implementation of enterprise data policies and standards by managing key data processes for the Global Operational Risk (GOR) team.

          +

          +

          Job Responsibilities:

          +

          +

          • Lead the development, implementation, and monitoring of GOR data strategies to minimize Operational Risk events and assist business line decision making.
          • Lead ad-hoc analysis that provide useful intelligence to improve Operational Risk understanding and identify opportunities to improve risk/reward tradeoff. Assess current/emerging trends that may impact GOR, communicate root causes and undesirable trends affecting risk tolerance through segmentation analytics and early warning triggers.
          • Deliver key analytics projects in partnership with enterprise data & analytics teams, GOR teams and business partners
          • Recommend improvements to existing processes to assist data analytics, including data collection in Source systems
          • Introduce changes under a test/control framework to help drive purpose, evidence-based decisions
          • Work closely with leadership teams to create data strategies that assist data modeling
          • Act as liaison between Data Office/Data Risk and GOR to communicate requirements ensuring compliance with data standards/ requirements
          • Data governance and stewardship assist, including data quality, data lineage, and data change management
          • Manages projects to deliver data changes, process updates, and audit/RDARR/OSFI deliverables
          • Conducts or assists detailed analysis and investigations of data feed and defect issues impacting monthly processes and/or data quality
          • Conducts or assists data trending and reasonability checks
          • Prepares management and technical presentations, interfaces with senior management and business users to document business requirements, data and information needs, and data exchange flow and provides assist/requirements for user acceptance testing
          • Manages communication with business partners and effectively communicates with the technology groups as well as data users in GOR and throughout GRM
          • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
          • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
          • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook, and the Guidelines for Business Conduct.
          • Champions a high-performance environment and contributes to an inclusive work environment.

          +

          Job Requirements:

          +

          +
          • Minimum of 5 years of data centred experience, preferably in a bank / financial institution
          • Experience in statistical & quantitative analysis
          • Experience in programming (SAS/Python/R) and databases (SQL, DB2) knowledge; ability to process and assess large volumes of data
          • Experience in use of PowerBI, Tableau, or other data visualization tools
          • Experience with Operational Risk platforms and methodologies, and their application in judicious decision making, is strongly desired
          • Strong communication and presentation skills complemented with solid problem-solving skills
          • Growth mindset with noetic curiosity, proactiveness and passion for continuous learning
          • Solid interpersonal skills with ability to build judicious relationships and influence stakeholders
          • Ability to present complex information in a simplified way to various audiences
          • Bachelor’s degree or higher, preferably in Economics, Finance, Statistics, Industrial Engineer, Mathematics, Computer science, or Information technology related discipline
          • Fluency in Spanish is an asset
          -
          -

          -

          Additional Information

          -
          -#LI-Hybrid #datascientist
          -

          -

          Hours

          -
          37.5
          -

          -

          Inclusiveness

          -

          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

          -

          -
          ",,https://jobs.td.com/en-CA/jobs/17480967/data-scientist-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-07-26T21:47:43.712Z,False,0,28,106,https://talenthub.vectorinstitute.ai/jobs/239887338-data-scientist-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17480967/data-scientist-i-toronto-ca/,published,2023-06-26T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -ef96249a-2473-4ca6-83b0-771bb1b36198,242607576,TD Bank Group,Asset Management Portfolio Analytics Developer Co-op,on_site,"Toronto, ON",2023-07-03T15:53:02.491Z,"
          +

          +

          +

          Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Analytics-&-Governance-ON-M5H1A1/571271517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-16T23:01:02.368Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/247347040-senior-manager-data-analytics-governance-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Analytics-&-Governance-ON-M5H1A1/571271517/,published,2023-07-16T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +10d438c7-06b9-401e-9b3a-a8968d26d96f,247732322,Scotiabank,"Manager, IFRS 9 Modelling & Analytics, Enterprise Stress Testing (12 Month Contract)",on_site,Canada : Ontario : Toronto,2023-07-17T15:52:03.417Z,"

          +

          +

          +

          +

          Requisition ID: 179839

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

          +

          +

          Purpose of Job:

          +

          +

          As Manager, IFRS 9 Modelling & Analytics, Enterprise Stress Testing, you will contribute to the overall success of IFRS 9 credit risk modelling, analytics, and reporting for retail and small business portfolios. You will ensure specific individual goals, plans, and initiatives are executed / delivered in support of the team’s business strategies and objectives. You will also ensure all activities conducted are in compliance with governing regulations, internal policies, and procedures.

          +

          +

          You will report directly to a Senior Manager or Director and be a critical member of the team overseeing the forward-looking probability of default (PD) and loss given default (LGD) models used to estimate credit risk for retail and small business lending products. With access to a modern machine learning stack that includes open-source development environments, you will assist in model development, implementation, and maintenance as we develop new methodology and models to replace the current suite. You will collaborate, on a regular basis, with a wide range of stakeholders and internal/external partners including Model Validation and Approval, Retail Provisions, Compliance, and Audit.

          +

          +

          Job Responsibilities:

          +

          +

          Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge
          • Develops credit risk models for the retail and small business portfolios that predict probability of default or loss given default for IFRS 9 provisioning and financial reporting
          • Documents all models and processes developed and works with the model validation team to ensure timely and satisfactory validation
          • Supports the integration of new models into IFRS 9 and Enterprise-Wide Stress Testing analytics and reporting processes
          • Works with stakeholders and technology partners to implement and test the models in user acceptance testing and production environments
          • Understands how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions
          • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct

          +

          Job Requirements:

          +

          +

          • Advanced degree in Economics, Finance, Statistics, Mathematics, Physics, Engineering or other related quantitative discipline
          • Predictive modelling or machine learning, statistical, and programming skills gained through work experience, a graduate degree, or other advanced training in a quantitative discipline
          • Experience with Python or R including data processing with pandas or dplyr
          • Excellent communication skills and the ability to communicate with stakeholders across a wide variety of functions, including the ability to clearly summarize and display data
          • The candidate must demonstrate the ability to quickly grasp and embrace new concepts and technologies
          • Experience with Linux or UNIX systems and version control software such as Git is required

          +

          +

          Nice To Have:

          +

          • Domain expertise in retail credit risk and IFRS 9
          • Experience with pyspark or sparklyr for data wrangling
          • Experience with matplotlib, plotly, seaborn, or ggplot2 for data visualization
          • Power user of Microsoft Office (Excel, Word, PowerPoint)

          +

          +

          Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-IFRS-9-Modelling-&-Analytics%2C-Enterprise-Stress-Testing-%2812-Month-Contract%29-ON-M5C1J4/572173417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-16T23:10:22.116Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/247732322-manager-ifrs-9-modelling-analytics-enterprise-stress-testing-12-month-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-IFRS-9-Modelling-&-Analytics%2C-Enterprise-Stress-Testing-%2812-Month-Contract%29-ON-M5C1J4/572173417/,published,2023-07-17T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, +5840dedf-b152-4edb-a6e2-d7570a8ae7e9,246294060,TD Bank Group,"Manager, Analytics & Insights",on_site,"Toronto, ON",2023-07-13T15:53:02.901Z,"

          Company Overview

          -

          All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

          -

          Why TD?

          -

          TD’s Colleague Promise: A better you. A better us.

          -

          A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

          +

          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

          +

          Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

          Department Overview

          -
          -

          Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

          -

          -

          Our Co-op/Intern Programming is offered with select Co-op and Internship roles, and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

          -
          • Leadership talks with key Leaders from across the organization

          -
            -
          • Lunch and Learns on topics such as Innovation

          • -
          • Diversity and Inclusion and Personal Branding and so much more

          • -
          -

          -

          TD Asset Management Inc. (TDAM) is an Investment Management firm with leading market positions in active, quantitative and passive portfolio management serving a large and diversified client base including pension funds, corporations, institutions, endowments, foundations and high net worth individuals. We also offer private money management services and manage retail mutual funds.

          -

          -
          +

          The Analytics and Information Management team supports the entire Canadian Auto Finance organization with reporting, data consulting, strategy and ad-hoc analyses from product development, sales and loan acquisition to operations and servicing customers.
          This position offers an excellent opportunity to learn about and be at the forefront of a highly dynamic and growing business while supporting a multitude of critical initiatives across TDAF Canada.

          Job Description

          -

          We are seeking a Full Stack Developer to join us in the Portfolio Research & Analytics team to build cutting-edge portfolio management applications using technologies such as Python, JavaScript – especially React & Redux frameworks, and SQL.

          -

          The web applications developed by the Portfolio Research & Analytics team are directly used in the daily management and monitoring of hundreds of billions of dollars in assets.

          -

          Why you should be excited about applying for this role:

          +

          Reporting to the Senior Manager, Analytics & Information Management – the Manager Analytics & Insights role includes leading and managing a team who provide support maintaining CRM, analytics discovery, and business insights, developing dashboard to a wide range of audience at all levels, including senior executives, of all functions within TDAF.

            -
          • A chance to see the results of your work have immediate real-world impact

          • -
          • One-on-one mentoring

          • +
          • Work with business partners on initiatives and projects. Provide consultation and recommendations by highlighting impacts from a quantitative point of view.
          • +
          • Pro-actively identify opportunities for the business to maximize shareholder value through provisioning of analytics discovery and business insights.
          • +
          • Manage, update, and maintain pricing model and profitability reports for consumption of product partners. Liaison with a variety of teams (TBSM, Capital, Risk, Finance) to understand changes to financial variables and its impact to the models output.
          • +
          • Prepare Management summaries highlighting the outcome of the dealer segmentation refresh and ensuring the appropriate validations are performed, coordinating with dealer ops team on the changes.
          • +
          • Pro-actively identify opportunities for the business to maximize shareholder value through provisioning of analytics discovery and business insights.
          • +
          • Act as a SME providing consultation and recommendations on how the team can provide strategic business value to teams across TDAF.
          • +
          • Accountable for all day-to-day CRM Maintenance and upgrades.
          • +
          • Provide ad hoc support to Senior Manager in strategic and tactical initiatives as required.
          • +
          • Monitor and ensure the appropriate policies procedures and accountabilities are documented and followed for internal and external audit purposes.
          • +
          • Establish and maintain productive working relations with all stakeholders.
          • +
          • Provide leadership, coaching, and mentorship for all employees on the team
          -
          • Co-op events

          -

          Students will have the opportunity to work on several projects independently and see their code used in production. Students will gain extensive web and/or backend development experience, exposure to single page application architecture; Python programming experience at the application layer; and significant hands-on SQL database experience.

          Requirements

          +Experience & Qualifications

            -
          • Currently enrolled in an undergraduate degree majoring in relevant technology programs, such as Computer Science, Engineering, Mathematics, or similar

          • -
          • Must be enrolled in an undergraduate degree with the intent of going back to school at the start of your work term

          • -
          -

          Some coursework or interest in finance will be considered an asset.

          -

          We will consider candidates with strong technical backgrounds that do not necessarily have direct experience with the specific technologies used on our team.

          -

          Attributes that are beneficial to the role are: self-starter, analytical and attention to detail.

          -

          The ideal candidate should be comfortable working in a team environment.

          -

          GIT version control

          -

          Familiarity with software development in a Linux-based environment.

          -

          JavaScript (especially React and Redux frameworks)

          -

          REST API’s, MVC frameworks

          -

          Python

          -

          SQL and database design (with any major RDBMS).

          -

          Strong software development skills, the ability to learn new technologies and business concepts quickly are essential for success at this position. Previous experience with the following technologies will be preferred:

          -
          -

          -

          Additional Information

          -
          -

          Early Talent Requirements

          -
            -
          • This position is a 4-month work term and will commence September 5 – December 22, 2023.

          • -
          • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).

          • -
          -
            -
          • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.

          • -
          • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements

          • -
          • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.

          • +
          • Experience working with relational databases. Querying and combining various data sources.
          • +
          • Strong relationship building skills, ability to collaborate effectively with teams across TDAF and the Bank.
          • +
          • Experience in SQL, Tableau, Python, Microsoft BI solutions will be an asset.
          • +
          • Experience building presentations and presenting the findings to upper management.
          • +
          • Minimum 5 years in an analytical or consulting role.
          • +
          • Experience working with Microsoft Dynamic 365 will be an asset.
          • +
          • Demonstrated experience in delivering high quality, high impact analytical solutions to business problems.
          • +
          • Strong organizational skills, with the ability to work in a fast-paced environment and manage multiple deadlines and priorities
          • +
          • Strong people management skills with proven leadership abilities.
          • +
          • Banking or Automotive Industry experience is strongly preferred.
          -

          HOURS

          -

          Monday-Friday, standard business hours

          -

          Start Date

          -
          – Fall
          +

          Hours

          +
          37.5

          Inclusiveness

          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

          -
          ",,https://jobs.td.com/en-CA/jobs/18300619/asset-management-portfolio-analytics-developer-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-08-03T15:42:02.363Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/242607576-asset-management-portfolio-analytics-developer-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18300619/asset-management-portfolio-analytics-developer-co-op-toronto-ca/,published,2023-07-03T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -75b1e52c-74da-4c5b-9d77-dec68fcfff1f,239621576,Scotiabank,"First Nations, Metis, Inuit - Manager, Data and Analytics, CID&A (Remote or Hybrid)",on_site,Canada : Ontario : Ottawa || Canada : Ontario : Kingston || Canada : Ontario : Sudbury || Canada : Ontario : Thunder Bay || Canada : Ontario : Toronto,2023-06-25T15:52:02.255Z,"

          -

          +
          ",,https://jobs.td.com/en-CA/jobs/18730024/manager-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-08-16T22:37:24.293Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/246294060-manager-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18730024/manager-analytics-insights-toronto-ca/,published,2023-07-13T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,No Degree,New Posting, +eaeab85c-94cf-4fca-a488-f6a103ae2246,247732319,Scotiabank,"Associate Director, Treasury ALM Analytics",on_site,Canada : Ontario : Toronto,2023-07-17T15:52:03.166Z,"

          -

          Requisition ID: 177225

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

          -

          First Nations, Metis, Inuit - Manager, Data and Analytics, CID&A (Remote or Hybrid)

          +

          Requisition ID: 181308

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

          -

          This posting is intended for Indigenous Peoples as a Special Program under the Human Rights Act and the Employment Equity Act. Indigenous Peoples include status, non-status First Nation, Métis, and Inuit People under the Employment Equity Act within Canada. Scotiabank provides extended benefits to Indigenous employees aimed at supporting and promoting their culture.

          +

          Purpose

          -

          Who We Are:

          +

          Scotiabank’s Group Treasury manages the bank’s liquidity and structural interest rate risk. As Associate or Associate Director, ALM Analytics (depending on experience), the incumbent will be responsible in assisting in the development, implementation, and deployment of in-house built analytical solutions, software tools, and production systems to support Group Treasury’s hedging, portfolio analytics, and balance sheet forecasting models.

          +

          +

          The position is ideal for a person with a strong technical background, with at least one graduate level (Masters) in a quantitative field, plus previous experience working in software development on sophisticated quantitative models, optimization techniques, and machine learning. The ideal candidate will have prior work experience within the field of quantitative finance. The successful candidate must have expert working knowledge in a variety of programming languages, data management solutions, with strong focus on data visualization and customer/user experience (Cx/Ux) interface design using latest web technologies.

          +

          +

          As part of the development team, the individual will be involved with every aspect of production software development cycle, process automation, and creation of front-end interactive web-based tools and apps for traders/analysts. The incumbent will be required to provide technical leadership and support technical deployment within the team, provide insights on optimal technology strategies, designing efficient and robust solutions, and creating new interfaces and tools that focus on continually improving the customer experience. Further, the candidate will be responsible for reviewing the requirements from other Treasury stakeholders and translating use cases into production-quality analytical tools.

          +

          +

          The ideal candidate thrives in a collaborative team environment, building and enhancing internal relationships with partners in Trading, Technology, and Risk Management. They must be able to multi-task and demonstrate an ability to identify process improvement opportunities. This is a position that requires a strong commitment, with tight deadlines that result in competing demands and heavy workload at peak times.

          +

          +

          Accountabilities

          +

          +
          • Develop, test, and deploy production-ready analytical tools and the technology framework to measure, forecast, and simulate balance sheet structural interest rate risk exposures, margin analysis, and portfolio stress testing
          • Create new web-based, user-focused tools and reports for market facing trading desk and senior management
          • Provide technical expertise and support technical deployment within the team
          • Collaborate with multiple stakeholders to drive agile product version releases and faster user adoption
          • Provide timely analysis of balance sheet exposures and what-if scenario testing
          • Work closely with market-facing, risk management, and finance teams on the various analytical, reporting and exposure measurement issues
          • Write, implement, test, and utilize sophisticated quantitative models for hedging and balance sheet forecasting purposes
          • Present to other Treasury colleagues regarding new analytics and methodology impact testing
          • Identify efficiency opportunities by working with business lines in the development of new and/or changes to existing products
          • +
          +

          +

          Education / Skills / Experience

          +

          +
          • Strong technical knowledge in programming languages and data management software, including MATLAB, Python/Pandas, SQL, R
          • Creative problem solver with strong analytical skills,
          • Experience in developing highly interactive, user-centric front-end web applications,
          • Understanding and practical experience in Interest Rate Sensitivities,
          • Strong presentation and communication skills, both oral and written,
          • Excellent analytical, problem-solving, conceptualization, and strategic thinking skills,
          • Strong customer-focus with a proven ability to translate complex customer requirements into user-focused final product,
          • Solid knowledge of financial and management accounting principles,
          • Strong understanding of interest rate market dynamics,
          • Familiarity with various bank regulatory requirements (IRRBB, FRTB, CDIC, etc)
          • The ability to communicate technical and analytical concepts to a broad range of stakeholders (both technical and non-technical)
          • Graduate-level (masters) accreditation in Quantitative Finance/Financial Engineering or highly technical disciplines (i.e. engineering, physics, or applied mathematics).
          • Experience at a top-tier financial institution, preferably with knowledge in interest rate products, asset liability management, and market/financial risk management.
          • Previous model development experience and proven ability to assess, interpret, and implement financial theories, concepts, and models.
          • Advanced experience in computer programming, distributive computing, database management, machine learning, and development of analytical tools.
          • Solid understanding of statistics, mathematical finance, derivatives concepts, as well as interest rate sensitive products.
          • +
          +

          +

          #treasuryjobs

          +

          #LI-hybrid

          +

          -

          The Customer Insights, Data & Analytics team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data.

          +

          Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Toronto-Associate-Director%2C-Treasury-ALM-Analytics-ON-M5H-0B4/572179117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-16T23:03:18.460Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/247732319-associate-director-treasury-alm-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Associate-Director%2C-Treasury-ALM-Analytics-ON-M5H-0B4/572179117/,published,2023-07-17T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, +7dfba70b-4a24-4566-86fa-74ec8dff8350,246294054,Scotiabank,"Senior Manager, Credit Risk Provisions and Analytics - Contract",on_site,Canada : Ontario : Toronto,2023-07-13T15:52:02.388Z,"

          -

          Are you the right person for the role?

          -


          • You have strong business acumen, and you excel at developing and communicating analytics insights.
          • You are not afraid to challenge the status quo.
          • You have a deep curiosity about data, processes, and customer behaviour. You are always asking “why?”
          • You can pivot and adapt to change.
          • You spend your free time tinkering with new technologies or building apps on the side.
          • You want to find a solution to real life problems that will flip the multi-billion-dollar financial industry on its head.
          • You have a high aptitude for diving in, taking ownership and picking up new things.
          • You're eager to share your ideas in a team environment.
          • You have an open, honest, and transparent communication style, including the ability to distil technical details into human terms.

          -


          What will you do in this role?

          -


          • Champion change in the bank by promoting data literacy, data analytics, and data informed decision making.
          • Build, manage and grow relationships with product, design, and engineering teams by enabling data driven decision making.
          • Understand performance trends, identify opportunities for growth, and provide actionable insights.
          Work cross functionally to define data strategy and analytics roadmap for business initiatives, collaborating with various teams across the Bank.
          • Proactively identify, and drive analytics solutions to improve customer experience in collaboration with Data Scientists.
          • Deep dive into data to identify opportunities, influence product development, and/or overall functional and business strategies.
          • Collaborate with data scientists, data engineers, and operational teams to create, deliver and implement analytics solutions or data products.
          • Communicate and coordinate with teams to implement data-driven strategies while measuring progress
          • Conduct analysis and present performance results to business line stakeholders.
          • Develop and produce analyses, reports, and insights for partners that help drive tactical, operation, and/or strategic decision making in support of Digital Banking goals.

          -


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

          -

          • You have 3-5+ years of experience with data management, data analysis, project management, data governance or advanced analytics.
          • You have a certification or university degree in business or in a relevant STEM discipline (Computer Sciences, Computer/Software Engineering, Mathematics, Statistics) or equivalent experience.
          • Strong project management and communication skills (both oral and written).
          • Proven data literacy and excellent storytelling — The ability to simplify and describe complex analytical concepts to stakeholders outside of analytics.
          • Ability to manage process and planning, facilitate teamwork, and coordinate execution of multiple deliverables.
          • You are knowledgeable about Big Data ecosystem tools (e.g., Hive, Pig, Sqoop, Spark, Google Cloud Platform) and are comfortable with creating large queries.
          • You are familiar with using visualization tools like Power BI, Tableau or QlikView.
          • You have excellent analytical skills and can interpret and consolidate large amounts of information in actionable recommendations. You use sound judgment in the creation of analysis, validation, interpretation, and presentation of findings.

          -

          #riskjobsontario

          +

          Requisition ID: 180887

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

          +

          Purpose:
          Leads and oversees IFRS9 as part of Credit Risk Provisions & Analytics team within Scotiabank Global Risk Management in Toronto Canada ensuring business strategies, plans and initiatives are executed / delivered in compliance with governing regulations, internal policies and procedures.

          -

          Location(s): Canada : Ontario : Ottawa || Canada : Ontario : Kingston || Canada : Ontario : Sudbury || Canada : Ontario : Thunder Bay || Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/First-Nations%2C-Metis%2C-Inuit-Manager%2C-Data-and-Analytics%2C-CID&A-%28Remote-or-Hybrid%29/569727317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-26T20:12:24.982Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/239621576-first-nations-metis-inuit-manager-data-and-analytics-cid-a-remote-or-hybrid-at-scotiabank,https://jobs.scotiabank.com/job/First-Nations%2C-Metis%2C-Inuit-Manager%2C-Data-and-Analytics%2C-CID&A-%28Remote-or-Hybrid%29/569727317/,published,2023-06-25T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -75e60b84-68af-40b5-b15b-45aa549969f7,238638886,BMO Financial Group,"Senior Analyst, Business Banking Credit Risk Analytics (Hybrid)",on_site,"Ontario, Canada",2023-06-23T01:42:01.837Z,"
          -

          Application Deadline:

          08/17/2023

          -

          -

          Address:

          33 Dundas Street West

          -

          -

          Job Family Group:

          Data Analytics & Reporting

          -

          -

          -

          -

          MANDATE

          -

          -

          The Senior Analyst, Business Banking Credit Risk Analytics supports the execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies. She/he further supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance, and minimizes risk.

          -

          -

          The role has three primary areas of accountability which are described in more detail below. Across all these areas, he/she acts as a trusted advisor to Risk and the business, providing specialized consulting, analytical and technical support. This includes engaging key stakeholders on objectives and requirements, building effective analyses & tools to support decisions, and presenting findings in a simple, clear way to drive action. While this role focuses on Business Banking across North America, it may also work on broader enterprise-wide initiatives.

          -

          -

          Develop Strategy and Portfolio level monitoring that yield insight

          -
            -
          • Create presentations and self-service tools to allow Senior Executives, Product Partners and other stakeholders to clearly understand the performance of Credit Strategies and the Overall North American Business Banking portfolio.
          • -
          • Conducts independent analysis and assessment to resolve strategic issues.
          • -
          • Highlight insights that drive improvements in business profitability and performance, including identification of emerging issues and trends.
          • -
          • Continuously improve consistency and transparency of risk measurement, metrics and reporting
          • -
          • Develop a strong understanding of Business Banking Data Architecture and how data flows between systems.
          • -
          • Determine the optimal sources of data for timely and effective monitoring. Surface opportunities to further improve the accuracy and timeliness of reports.
          • -
          • Assemble presentations that are intuitive, easily digestible and action oriented.
          • -
          • Support strong governance of reporting processes. Participate in any migration projects that will impact the availability and meaning of Business Banking data.
          • -
          • Support the maintenance of operational procedures and processes related to analytical and reporting processes.
          • -
          -

          -

          -

          Forecast Portfolio Performance

          -
            -
          • Participate in regular forecasting discussions, particularly around PCL (Provision for Credit Losses).
          • -
          • Maintain strong relationships with Collections units to foresee performance trends that may impact forecasts.
          • -
          • Undertake stress testing or other performance analyses to understand the range of potential financial outcomes.
          • -
          -

          -

          Oversee development of Risk and Capital Models

          -
            -
          • Establish effective working relationships with Canadian and US modeling teams
          • -
          • Support Business Banking Credit leaders in overseeing model performance and understanding shifts in their performance. Petition for new models as performance deteriorates.
          • -
          • Collaborate on the development of new models by providing business insights into the selection and use of variables. Ensure datasets used for model development are robust, and that new model implementation is thoroughly tested and reliable.
          • -
          -

          -

          ____________________________________________________________________________________

          -

          -

          KNOWLEDGE AND SKILLS

          -

          -

          Knowledge & Experience

          -

          -
            -
          • Typically, 1-3 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
          • -
          • In-depth:
              -
            • Verbal & written communication skills
            • -
            • Collaboration & team skills
            • -
            • Analytical and problem-solving skills
            • -
            • Influencing skills
            • -
            • Data driven decision making skills
            • -
            • Knowledge of reporting & analytics concepts and applications
            • -
            -
          • -
          -

          -
          • Knowledge of the following is beneficial:
              -
            • Risk management metrics: KPIs and KRIs
            • -
            • Industry trends and regulatory requirements for risk reporting
            • -
            • Risk modeling
            • -
            • Loss forecasting
            • +

              Accountabilities:

              +
              • Leads and drives a customer focused culture throughout their team to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
              • Provides credit risk analytics and insights of Expected Credit Loss (ECL), Provision for Credit Loss (PCL) and capital to internal clients, including Executive Offices, Finance, Business lines, Countries, and Global Risk Management executives.
              • Understands key components of IFRS9 models such as PD, LGD, EAD and macroeconomic factors. Continuously finds ways to improve the efficiency and accuracy of the ECL calculator.
              • Works closely with key stakeholders in maintaining and enhancing the IFRS 9 end-to-end process, which includes project planning, data reconciliation, model implementation, control process, governance and reporting.
              • Applies specialized knowledge of Expected Credit Loss methodology, ECL analytics, and provides insights to Credit Risk SVPs in order to ensure the adequacy of IFRS9 provisions reported in external disclosures.
              • Collaborates with internal stakeholders such as Internal Ratings Management, Enterprise Stress Testing, Information Technology & Systems (IT&S), Business Lines, and Enterprise Risk Management for methodology improvement to ECL.
              • Creates an environment in which his/her team pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
              • Builds a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment and using a coaching mindset and behaviours; communicating vison/values/business strategy; managing succession and development planning for the team.
              -
            -

            Skills

            -

            -
              -
            • Strong financial, quantitative, and analytic skills to make data driven decisions
            • -
            • In depth expertise with key technologies including SAS, SQL, Power BI, Python, Microsoft Products
            • -
            • Proven ability to apply expertise and creativity to solve complex problems and manage ambiguity
            • -
            • Excellent communication skills (oral and written)
            • -
            • Team-oriented, collaborative and flexible
            • -
            • Strong time management and project management skills
            • +

              +

              Requirements:

              +
              • Master’s in Business, Finance, Mathematics or Statistics
              • Professional qualification such as CFA / FRM / PRM is an added advantage
              • Good programming skills in Python and SQL
              • Credit Risk knowledge
              • Background on IFRS9 and CECL regulations
              • Problem solving skills
              • Comfort and experience working in a project context and juggling multiple competing priorities
              • Critical thinking skills and ability to work under tight timelines.
              -

              -

              -

              We’re here to help

              -

              -

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

              -

              -

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

              -

              -

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

              -

              -

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

              -

              -

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

              -
          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Analyst--Business-Banking-Credit-Risk-Analytics--Hybrid-_R230009312?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-07-26T19:31:31.782Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/238638886-senior-analyst-business-banking-credit-risk-analytics-hybrid-at-bmo-financial-group,,published,2023-06-23T01:42:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -13ed9eaa-a328-462a-9d38-8941598009bf,240254605,Layer 6,Machine Learning Scientist ,on_site,"Toronto, ON, Canada",2023-06-27T17:33:34.750Z,"

          Layer 6 is a leading machine learning research company, developing advanced deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence.

          -

          Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform. Research areas include deep learning, computer vision, time series analysis, natural language processing and recommendation systems etc.

          -

          Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), Kaggle: RSNA Pneumonia Detection Challenge (4th place in 2018) and the Stanford Question Answering Dataset (2nd place in 2019).

          -

          Layer 6 was founded in Toronto in 2016 and backed by some of the most successful technology entrepreneurs in Canada. Layer 6 was acquired by TD Bank Group in 2018 and we continue being based in Toronto’s Discovery District – MaRS Centre.

          -

          As a machine learning scientist, you will

          -
            -
          • Join a world-class team of machine learning researchers with an extensive track record in both academia and industry.
          • -
          • Research, develop, and apply new techniques in the intersection of deep learning and personalization to further advance our industry leading product.
          • -
          • Work with diverse real-life datasets that range from banking transactions, to predictive health applications, to audio/video consumption.
          • -
          • Collaborate closely with the engineering team in a fast paced startup environment and see your research deployed in production with very short turnaround.
          • +

            +

            Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Credit-Risk-Provisions-and-Analytics-Contract-ON-M5H3Y2/572027217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-16T22:29:27.553Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/246294054-senior-manager-credit-risk-provisions-and-analytics-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Credit-Risk-Provisions-and-Analytics-Contract-ON-M5H3Y2/572027217/,published,2023-07-13T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Masters Degree,New Posting, +ab9c606e-50a6-4ca8-86e9-cbe89c47cb1a,246294056,Scotiabank,"Manager, Exposure and Capital Analytics - Contract",on_site,Canada : Ontario : Toronto,2023-07-13T15:52:02.594Z,"

          +

          +

          +

          +

          Requisition ID: 180982

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

          +

          +

          POSITION SUMMARY:

          +

          As part of Global Risk Management, Exposure and Capital Analytics delivers reporting, analytics and insights on capital to the bank’s non-retail business lines. The Fundamental Review of the Trading Book (FRTB) is a key regulatory project for the bank’s market risk management teams. The incumbent will develop documentation required for the FRTB project. This will cover data governance as well as policy and procedure documentation.

          +

          +

          KEY ACCOUNTABILITIES:

          +
          • Work with teams covering Market Risk, Data Governance and XVA to understand the policies and procedure
          • Develop documentation in support of the FRTB program
          • Liaise with teams across the Exposure and Capital Analytics department who are contributing to FRTB
          • Edit and review existing policy and procedure documentation for FRTB
          -

          Required Qualifications

          -
            -
          • PhD degree in Computer Science, Statistics, Operations Research, Mathematics or related field
          • -
          • Strong background in machine learning
          • -
          • 5+ years of research experience with publication record
          • -
          • Proven track record of applying machine learning to solve real-world problems
          • +

            +

            QUALIFICATIONS:

            +
            • Excellent communication skills
            • Solid quantitative and technical skills
            • Experience with finance and capital markets products such as derivatives and securities financing transactions
            • Masters degree or equivalent experience
            • CFA or FRM designation is a plus
            • Python programming and SQL are a plus
            -

            Preferred Qualifications

            -
              -
            • Experience with deep learning and/or collaborative filtering
            • -
            • Hands on experience in software systems development and SaaS applications
            • -
            • Experience with one or more Java, Matlab, Scala, Tensorflow and MXNet
            • -
            • Experience using GPUs for accelerated deep learning training
            • -
            • Familiarity with AWS
            • +

              +

              WORKING ENVIRONMENT:

              +
              • Business Casual Attire
              • Flexible Working Hours
              • Close to GO trains, subway and buses
              -

              Benefits

              -
                -
              • Entrepreneurial and inclusive culture
              • -
              • Excellent health coverage
              • -
              • Four weeks paid vacation
              • -
              • Catered lunches twice a week over machine learning talks
              • -
              • Opportunities to collaborate with faculty at the Vector Institute
              • -
              ",,https://layer6.ai/careers/#Machine-Learning-Scientist-183,aitalent@vectorinstitute.ai,https://layer6.ai/careers/,,,2023-07-27T17:33:37.275Z,False,0,18,89,https://talenthub.vectorinstitute.ai/jobs/240254605-machine-learning-scientist-at-layer-6,,published,2023-06-27T17:33:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,PhD,New Posting, +

              +

              Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Exposure-and-Capital-Analytics-Contract-ON-M5H1B6/572026617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-16T22:34:48.835Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/246294056-manager-exposure-and-capital-analytics-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Exposure-and-Capital-Analytics-Contract-ON-M5H1B6/572026617/,published,2023-07-13T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, f43cf2d6-4b01-47bf-9555-d44d3e88cedf,237862103,integrate.ai,Head of Science,on_site,"Toronto, ON, Canada",2023-06-20T17:00:41.964Z,"

          At integrate.ai, we are empowering organizations working on the world’s most important problems - from cancer research, to new drug discovery, to more equitable financial products - to solve them without compromising the world’s most sensitive data. Our integrate.ai platform enables privacy-safe AI and analytics collaboration within and between organizations without needing to directly share or move data using cutting edge machine learning and privacy enhancing technologies.

          We are hiring a Head of Science to lead our machine learning science team across a range of research and applied science initiatives. If you are a science leader with a track record of leading teams and productizing new machine learning technologies, this is a unique opportunity to drive outsized impact in an ambitious, high performing startup.

          Our current emphasis is on federated learning (covering a broad range of ML model types), automated data relevancy evaluation, and privacy enhancing technologies, but we welcome exploration into other domains that support the mission of the company to safely activate the world’s most sensitive data to solve the world’s most important problems.

          @@ -6681,254 +13669,7 @@ f43cf2d6-4b01-47bf-9555-d44d3e88cedf,237862103,integrate.ai,Head of Science,on_s
        • Experience building and leading diverse, high-performing applied research teams
        • Experience developing foundational machine learning techniques
        • A strong foundation in software implementation of machine learning techniques
        • -",,https://boards.greenhouse.io/integrateai/jobs/6739360002?gh_jid=6739360002,aitalent@vectorinstitute.ai,https://integrate.ai/careers,,,2023-07-20T17:00:44.358Z,False,0,4,46,https://talenthub.vectorinstitute.ai/jobs/237862103-head-of-science-at-integrate-ai,,published,2023-06-20T17:00:00.000Z,admin,Scaling (20-499),Application Click Through,Software,Team Lead,PhD,New Posting, -a122658c-8f45-483b-9523-5746c9841113,242607502,Scotiabank,"Director, Advanced Analytics - CID&A",on_site,Canada : Ontario : Toronto,2023-07-03T15:52:03.460Z,"

          -

          -

          -

          -

          Requisition ID: 180450

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

          -

          -

          Purpose:

          -

          -

          This role will be reporting to the Vice President of Canadian Banking Analytics as Director, Advanced Analytics responsible for the application of advanced analytics across the CB Retail portfolio to drive immediate and long term value. This role acts as horizontal function across the Canadian Banking Analytics team supporting other analytics teams as well as key business teams directly. This includes maintaining key ML/AI based assets (e.g. Customer Value Index, Financial Vulnerability Index) as well as leading applied innovation to create the next set of reusable assets to benefit the retail bank. The incumbent will lead and develop a team of data scientists to enable the delivery of leading-edge analytics assets and programs.

          -

          -

          The position plays a leading strategic role in also integrating with the broader CIDA organization and bringing assets to accelerate the development of tools and assets to drive value for CB Retail.

          -

          -

          Accountabilities:

          -

          -
          • Drive evolution of how advanced analytics is practically applied and used across CBA and the broader CB Retail team
          • Create a continuous backlog of ideas and assets that can help drive value through automation, increased customer personalization, optimization
          • Act as a champion and SME for the latest thinking on Advance Analytics across the industry including Machine Learning, AI and related concepts
          • Maintain key assets developed by the team and continue to evolve as business needs evolve including but not limited to Customer Value Index, Financial Vulnerability Index, Machine Learning Accelerator etc.
          • Integrate with broader communities of practice in AI and Machine learning to ensure reuse and shared learning
          • Be a champion of driving adoption of cloud capabilities as the bank moves to GCP ensuring existing assets are migrated and that the team is able to ramp up on new technologies effectively
          • Responsible for having a detailed planning view for all projects undertaken, in a manner that optimizes the ROI from these projects and ensures their alignment with the organization’s strategic objectives
          • Responsible for ensuring projects are delivered on time, within budget and deliver agreed upon KPI's while also identifying opportunities for reusability and scale
          • Develop team and create a high performing culture that nurtures talent and helps bring to life our values of collaboration, growth and respect
          • Identify and coordinate training opportunities across GDAS team, ensuring alignment to GDAS strategy and team needs
          • Support and drive strategic issues and opportunities and collaborate with CB Retail executive team to help drive key business decisions and actions
          • -
          -

          -

          Requirements & Qualifications:

          -

          -
          • Proven expert in advanced analytics and its practical application
          • Recognized and resilient team leader who inspires a results-oriented customer-centric culture
          • Exceptional business planning, strategy development and execution skills
          • Proven relationship management skills with demonstrated seamless collaboration across multiple stakeholders
          • Experience in leading teams and working with multiple stakeholders
          • Demonstrated strong collaborative skills—Analytics & Insights is a team sport
          • Strong consultative skills
          • Experienced with analytics DevOps practices and tools.
          • Strong applied data science skills
          • Exceptional written and verbal communication skills, including the ability to explain data and findings to a non-technical and executive audience
          • Ability to multitask and manage multiple research projects
          • Demonstrated strong attention to detail, problem-solving, and critical thinking
          • Self-motivated, driven and impact-oriented
          • Ability to manage end-to-end opportunities – from identifying them to helping drive their implementation
          • Problem-solving and analytical skills to rapidly assess problem situations and creatively develop alternate solutions
          • -
          -

          -

          -

          Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Director%2C-Advanced-Analytics-CID&A/571633217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-03T14:43:17.480Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/242607502-director-advanced-analytics-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Director%2C-Advanced-Analytics-CID&A/571633217/,published,2023-07-03T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Director,No Degree,New Posting, -3dbc189d-bd18-4975-80d6-0d2d8c88a0cf,243150574,OMERS,"Data Engineer, Finance Data (6 Months Contract)",on_site,"Toronto, ON, Canada",2023-07-04T17:41:57.984Z,"

          We’d be thrilled to have you join our team as we set up our Capital Markets Finance Data team for new and continued success! We’ll focus equally on expertise and excellence, paired with culture and community. We will serve OMERS teams primarily in Capital Markets, Total Portfolio Management, and the Corporate function through understanding their needs, delivering against their expectations, and contributing our proficiencies – to achieve collective wins. This role joins a team on a journey, with much future potential in a global, sophisticated, complex enterprise.

          -

          -

          Responsibilities:

          -
            -
          • Design, develop, and help maintain data assets to extract, transform, and load data from various data files, APIs, and databases, and to make them accessible to various client-facing applications as well as investment data warehouse and internal tools
          • -
          • Implement data strategies that prepare, transform, combine and manage structured and unstructured data (e.g. internal investment accounting systems as well as external third-party investment feeds) to integrate the data into an investment data warehouse and BI solutions
          • -
          • Develop and operate highly scalable data pipelines and infrastructure that enable investment analytics, and investment reporting use cases
          • -
          • Automate manual processes and optimize data delivery
          • -
          • Utilize modern technologies for designing and building data solutions to meet business needs
          • -
          • Partner with business analysts and reporting analysts to develop reports and PowerBI dashboards
          • -
          • Support and troubleshoot existing investment data applications and BI reporting solutions as needed
          • -
          • Work as part of a cross-functional agile team responsible for end-to-end delivery of business needs
          • -
          • Collaborate and work effectively with business analysts and reporting analysts team members, and other investment professionals and leaders in solutioning and support
          • -
          -

          -

          Qualifications:

          -
            -
          • Track of record working in a fast-paced environment and multi-faceted role that intersects with business and technical analysts to support existing solutions, solution delivery, and contributions as a project resource for investment system implementations and upgrades
          • -
          • Strong experience with data management, investment systems, business intelligence, and other reporting technologies
          • -
          • Experience with Microsoft based BI/ETL tools (e.g. SQL Server, SSRS, SSIS, data factoryor similar
          • -
          • Experience with Cloud based data and analytics platforms (e.g. Snowflake, DataBricks, Azure Synapse)
          • -
          • Deep proficiency in SQL, Python, and similar languages
          • -
          • Good understanding of investment products
          • -
          • Demonstrated ability to handle multiple projects and tasks at the same time to support daily production issues
          • -
          • Critical thinking skills with the ability to independently solve problems with data and/or reference documents
          • -
          • Investment data modeling experience using the Kimball method is an asset
          • -
          • Experience with BNY Eagle PACE, Calypso, and Charles River is an asset
          • -
          • Data governance experience is an asset
          • -
          • Bachelor’s or master’s degree in Computer Science, Engineering, Finance, or a related field
          • -
          -

          -

          And you demonstrate:

          -
            -
          • A people-first focus with a desire to develop meaningful, positive relationships across all levels of the organization
          • -
          • A teammate mentality coupled with servant leadership
          • -
          • A sense of urgency, optimism, and a desire to deliver excellence
          • -
          • A desire to drive debate, to speak candidly, and to listen empathetically
          • -
          • Strong orientation towards strategy, change, and results
          • -
          • A continuous improvement mindset
          • -
          -

          -

          #LI-Hybrid

          -

          -

          -

          -

          -

          Our story:

          -

          Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

          -

          -

          OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

          ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Data-Engineer--Finance-Data--6-Months-Contract-_JR-5118?q=analytics+ontario&locationCountry=a30a87ed25634629aa6c3958aa2b91ea,aitalent@vectorinstitute.ai,https://www.omers.com/careers,,,2023-08-03T17:41:59.786Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/243150574-data-engineer-finance-data-6-months-contract-at-omers,,published,2023-07-04T17:41:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -c443e6cb-d2a4-4f9c-8fc8-66692402a3fa,243155563,CN,"Manager, Advance Analytics Optimization",on_site,"Brampton, ON, Canada",2023-07-04T17:50:29.950Z,"

          At CN, everyday brings new and exciting challenges. You can expect an interesting environment where you’re part of making sure our business is running optimally and safely―helping keep the economy on track. We provide the kind of paid training and opportunities that long-term careers are built on and we recognize hard workers who strive to make a difference. You will be able to thrive in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

          -

          Job Summary

          -

          The Manager, Advance Analytics Optimization is responsible for developing the Terminal operating model of the future. The incumbent assists with solving operation and service issues by developing solutions for CN’s ongoing transformation in Intermodal (IM) Operation with the Smart Terminal Program and Continuous Improvement strategy in virtually every aspect of its business. The incumbent leverages statistical analysis, Artificial Intelligence (AI) machine learning, and optimization techniques to drive innovation and improvement in IM operations.

          -

          Main Responsibilities

          -

          · Apply statistical, advanced analytics, data science and machine learning knowledge, tools and techniques to specific business problems and data

          -

          · Develop initiatives to assist Supply Chain in a number of highly technical areas

          -

          · Use data science techniques to find data patterns, anomalies, and optimization opportunities

          -

          · Interpret, translate, and communicate analytical findings to business stakeholders

          -

          · Address and solve complex analytical problems using quantitative approaches

          -

          · Collaborate to implement data best practices through Data Lab, Data Hub,

          -

          · Provide analytical support by creating and sharing regular and ad hoc reports for projects and kaizens

          -

          · Identify simplification initiatives to allow for more effective data management to change the conversation from tactical to strategic

          -

          · Analyze data and develop solutions to define the operating models of the future using data science such as optimization or machine learning

          -

          · Work with Senior Terminal Managers, Terminal Managers, Supervisors, and Network Planning to recommend optimization improvements in Operation

          -

          · Influence IM Operation Management for fast and accurate decision-making on various aspects of the process such as capacity, productivity, process automation, and customer service

          -

          · Participate in change management

          -

          · Drive continuous improvement by identifying opportunities and leading projects

          -

          · Control and facilitate all data driven sessions on continuous improvements within all terminals across the network

          -

          · Analyze complex data sets and operational parameters to support leadership in decision-making while implementing new solutions and processes

          -

          Working Conditions

          -

          The role has standard working conditions in an office environment with a regular workweek from Monday to Friday. Due to the nature of the role, the incumbent must be able to meet tight deadlines, handle pressure, and stress. The role requires minimal travel (5%) for field visits.

          -

          Requirements

          -

          Experience

          -

          Advance Data Analytics

          -

          · Between 4 to 5 years of experience with, transportation operations or planning and forecasting of operations, inventory management systems, operation management systems

          -

          o Experience in analytics, data science, and advance data modelling with a focus on driving business, engineering, logistics, and supply chain decisions

          -

          o Experience in developing Machine Learning and statistical models

          -

          o Experience with technology and operation automation projects

          -

          o Experience with Machine Learning algorithms *

          -

          o Experience in using Power BI and Tableau to deliver insight*

          -

          *Any experience for these above would be considered as an asset

          -

          Education/Certification/Designation

          -

          · Bachelor’s Degree in Engineering, Operations, Supply Chain or Business

          -

          · Master’s Degree in Statistics, Mathematics, Quantitative Methods, Engineering, Operations Research, Supply Chain, or equivalent*

          -

          *Any designation for these above would be considered as an asset

          -

          Competencies

          -

          · Applies critical thinking

          -

          · Sets direction and inspires others

          -

          · Collaborates with others and shares information

          -

          · Solves problems to create value

          -

          · Demonstrates agility and drives change

          -

          · Knows the business and stays current on industry needs

          -

          · Fluently bilingual both written and verbal (English, French)*

          -

          *Any skills/attributes for these above would be considered as an asset

          -

          Technical Skills/Knowledge

          -

          · Advance Knowledge of Excel, Structured Query Language (SQL), Python

          -

          · Knowledge of process improvement tools and methodologies such as lean tools

          -

          · Knowledge of analytical and quantitative methodologies for mathematical optimization and statistical analysis

          -

          · Knowledge of data analysis, data mining, mathematical modelling and optimization, as well as algorithms

          -

          · Advance Knowledge of Microsoft Office (Excel, PowerPoint, and Word) and Power BI

          -

          · Experience in optimization software and mathematical programming languages such as CPLEX, Lingo or others*

          -

          · Knowledge of IM terminal operations and processes such as manpower, capacity, and asset planning, demand, maintenance, truck turn time, and work cell operations*

          -

          · Knowledge of IM terminal systems such as Terminal Operating System (TOS), Gate, and Service Reliability System (SRS)*

          -

          *Any knowledge for any of the above would be considered as an asset

          -

          About CN

          -

          CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

          -

          -

          -

          -

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

          ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/11084?c=cn360&lang=en-US,aitalent@vectorinstitute.ai,https://www.cn.ca/en/careers/,,,2023-08-03T17:50:32.318Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/243155563-manager-advance-analytics-optimization-at-cn,,published,2023-07-04T17:50:00.000Z,admin,Enterprise (500+),Application Click Through,Transportation,Manager,Masters Degree,New Posting, -5e6bbdee-003e-4826-aefd-21cacca384c0,243156861,TELUS, Senior Data Engineer,on_site,"Toronto, ON, Canada",2023-07-04T19:02:05.415Z,"

          Description

          -

          -

          Our team and what we’ll accomplish together

          -

          -

          Are you obsessed with data and identifying ways to harness and scale data intelligence across an entire organization? Do you love collaborating with fellow data professionals to develop innovative data solutions that lead to positive business outcomes? If your answer is yes, we would be delighted to have you onboard TELUS’ Data Strategy & Enablement team to provide vision and strategic guidance, while driving flawless execution on the development and evolution of large-scale machine learning environments.

          -

          -

          You’ll be part of a multidisciplinary team of data wizards who are capitalizing on analytics and insights to deliver exceptional products and services for our customers. In turn, we hope you’ll enjoy being a valued member of Canada’s #1 global workplace with a world-leading culture featuring extensive community-giving initiatives, flexible work environment including remote work, award-winning opportunities for career development, and a competitive compensation and benefits package.

          -

          -

          As a technology company, data is central to our mission to create better outcomes for our customers, especially as we strive to deliver next-generation networks like 5G; unlock the full potential of the Internet of Everything to power smart homes, businesses, industry, healthcare and cities; and deliver an incredible customer experience. Our Data Strategy & Enablement team is at the helm of building world-class data solutions by delivering data analytics capabilities built upon unified scalable platforms, advanced Augmented Intelligence (AI) tooling, high-quality data, and a data product and platform-oriented culture. At the same time, this team remains passionate champions of reliability, security and privacy by design, and is committed to creating the utmost level of privacy and security protections for all data on our networks and systems.

          -

          -

          You’ll provide vision and strategic guidance to evolve from common static analysis to dynamic machine learning deployments, as well as expand our teams’ access to deep insights that improve the customer experience. You’ll work with a talented team of Data Scientists and other professionals to manage TELUS’ data platforms and offer the best possible analytics experience to internal stakeholders using the data. And finally, as a trusted advisor and partner, you’ll collaborate across various business units to accelerate the transformation of our platforms, improve the customer and team member experience, and drive business efficiencies.

          -

          -

          What you’ll do

          -

          -
            -
          • Build and maintain scalable data infrastructure that offers a best-in-class experience for internal stakeholders including consistent extraction of value from the data
          • -
          • Drive data ingestion and processing in innovative ways that inform strategic priorities and decision-making across the organization
          • -
          • Foster continuous systems transformation as we migrate infrastructure and applications to Google Cloud Platform (GCP)
          • -
          • Build expertise in the team to expose efficiency insights across data platforms in the cloud
          • -
          • Manage our cloud data analytics platform priorities to make sure data security and privacy are top considerations
          • -
          • Implement automation and monitoring tools through a test-driven approach and mindset
          • -
          • Drive the adoption of new cloud technologies to further advance TELUS’ data transformation strategy
          • -
          -

          -

          #DSEjobs

          -

          Qualifications

          -

          -

          What you bring

          -

          -
            -
          • You are recognized for your 8+ years of experience of IT platform implementation in a technical capacity
          • -
          • You are sought out for your 5+ years’ experience of data warehouses/cloud architectures and platforms implementation with experience implementing and performance tuning
          • -
          • An expert understanding of data warehouses/cloud architectures and ETL processes
          • -
          • Advanced working SQL knowledge and experience working with relational databases and query authoring (SQL), as well as working familiarity with a variety of databases
          • -
          • Experience with cloud platforms: GCP, Amazon or Azure (GCP gives you an edge!)
          • -
          • Experience with Python and software engineering best practices
          • -
          • Advanced knowledge in Dataflow, Spark and Kafka, as well as other data pipeline components
          • -
          • Experience with data pipeline and workflow management tools such as Airflow
          • -
          • Experience with Github and CICD processes
          • -
          • Having a proven track record in leading data analytics platform projects
          • -
          • Ready to work in new and challenging work environments
          • -
          • Getting excited by the opportunity to build a team's capabilities to create value and innovate through data, and doing so in an agile manner with a bias for action and speed
          • -
          • Envisioning and delivering future technical roadmaps while inspiring others along the way
          • -
          • Being a senior strategist and mentor who is sought out when it comes to analyzing and translating technicalities into business implications
          • -
          • Working in cross-functional teams with exemplary communication and coordination skills
          • -
          • Proving your analytical skills with root cause analysis of issues
          • -
          • Demonstrating resilience, a questioning mindset, and strong observation skills and curiosity – you never settle for the status quo
          • -
          • Caring passionately about your stakeholders and providing them with the data and insights they need to deliver on their customer and business outcomes
          • -
          -

          -

          Great-to-haves

          -

          -
            -
          • Post-graduate education in Data Engineering, Cloud DevOps or Advanced Analytics
          • -
          • Machine learning and data science knowledge
          • -
          • Experience with Java in Cloud
          • -
          -

          -

          #DESjobs

          ",,https://careers.telus.com/job/Senior-Data-Engineer/571425217/,aitalent@vectorinstitute.ai,https://www.telus.com/en/about/careers,,,2023-08-03T19:02:09.363Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/243156861-senior-data-engineer-at-telus,,published,2023-07-04T19:02:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, -a25f6d16-409a-4afc-9b54-fa444334879b,243157349,Loblaw Companies Ltd.,"Data Analyst, IVR",on_site,"Toronto, ON, Canada",2023-07-04T19:09:53.253Z,"

          Referred applicants should not apply directly to this role.

          -

          All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

          -

          -

          -

          Location:

          -

          500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

          -

          -

          When you hire great people, great things can happen.

          -

          PC Financial offers unprecedented value to Canadians through payment products. We're a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

          -

          -

          Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

          -

          -

          Who We Are:

          -

          In the Customer Support Centre of Excellence (CoE), we strive to provide PC Financial, PC Optimum, Loblaw Digital, Loblaw Retail, and SDM Retail customers an effortless experience in the moments that matter. We use technology, automation, and delivery optimization to improve customer and colleague experiences. We collaborate with technology and products teams to create synergy and deliver value. We are nimble, agile and collaborative solving complex problems at pace. We run as one team, value diversity and dig deep to always know more.

          -

          -

          -

          Why Is This Role Important

          -

          The Data Analyst, IVR is the focal point for advising IVR strategy through the collection and analysis of data. Through programming languages like SQL, SAS, and Python, in SAS and Google Cloud platforms, the successful candidate will be responsible for writing queries to capture data from various sources. The data will be used to define KPIs, generate reports, and build predictive models. The work of the Data Analyst, IVR will play an integral role in bringing outstanding customer experience, through optimization and technology (supported by data and analytics), to our existing IVR platforms.

          -

          -

          We are looking for a candidate that is a self-starter, highly energized, and has excellent communication and presentation skills. The right candidate will bring a strong mix of experience with financial planning and reporting within operations, and a ‘roll-up-your-sleeves’ approach.

          -

          -

          -

          -

          What You’ll Do

          -
            -
          • Write queries using programming languages like SQL, SAS, and Python, in SAS and Google Cloud platforms
          • -
          • Build ‘what-if’ scenarios or predictive modelling to support optimization or technology improvements
          • -
          • Examine data for validity and applicability
          • -
          • Ability to work independently and cross-functionally with partners to provide insights related to caller behavior, demographics, and value to drive evidence-based decisions across the enterprise.
          • -
          • Accountable for reporting tools (Tableau), building & maintaining data sources and crafting dashboards for the purposes of supervising IVR health and performance
          • -
          • Daily analysis should render opportunity and recommendations that you will see through the various stages of the project lifecycle. This includes developing well thought out cases with clearly identified means of monitoring and measuring success
          • -
          • Work with the Specialist, IVR and partners to gain a detailed understanding of the business lines, the current state of each IVR platform, current difficulties, understand integrations and peripheral systems to better the IVR experience and efficiency
          • -
          -

          -

          -

          What You’ll Need

          -
            -
          • 2-3 years’ experience in query writing, experience with Big Query (Google Cloud Platform) preferred
          • -
          • 2-3 years’ experience in analysis
          • -
          • Sophisticated analytical and communication skills are critical.
          • -
          • Versatile and able to present complicated data and concepts to different partners
          • -
          • Manage multiple tasks while frequently switching gears between teams who are working on many different initiatives but working towards the same overall goals
          • -
          • Hands on experience with Tableau, programming languages, MS Office applications
          • -
          -

          -

          Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

          -

          -

          -

          Number of Openings:

          -

          1

          -

          -

          PC Financial recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

          -

          -

          In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

          ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Data-Analyst--IVR_R2000353654?q=analytics+ontario,aitalent@vectorinstitute.ai,https://www.loblaw.ca/en/careers.html,,,2023-08-03T19:09:55.442Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/243157349-data-analyst-ivr-at-loblaw-companies-ltd,,published,2023-07-04T19:09:00.000Z,admin,Enterprise (500+),Application Click Through,Retail,Associate,No Degree,New Posting, +",,https://boards.greenhouse.io/integrateai/jobs/6739360002?gh_jid=6739360002,aitalent@vectorinstitute.ai,https://integrate.ai/careers,,,2023-07-20T17:00:44.358Z,False,0,4,85,https://talenthub.vectorinstitute.ai/jobs/237862103-head-of-science-at-integrate-ai,,published,2023-06-20T17:00:00.000Z,admin,Scaling (20-499),Application Click Through,Software,Team Lead,PhD,New Posting, 286d195b-380d-43b8-8c57-068e620a3af7,243153987,CIBC,"Consultant, Advanced Analytics - 12 months",on_site,"Toronto, ON, Canada",2023-07-04T17:46:21.251Z,"

          We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

          At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

          @@ -7006,200 +13747,55 @@ a25f6d16-409a-4afc-9b54-fa444334879b,243157349,Loblaw Companies Ltd.,"Data Analy

          37.5

          Skills

          -

          Business Analytics, Business Intelligence (BI), Data Analytics, Data Science, Python (Programming Language), Structured Query Language (SQL), Tableau

          ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Consultant--Advanced-Analytics---12-months_2310858-1?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,aitalent@vectorinstitute.ai,https://www.cibc.com/en/about-cibc/careers.html,,,2023-08-03T17:46:23.810Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/243153987-consultant-advanced-analytics-12-months-at-cibc,,published,2023-07-04T17:46:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -2d48b079-7078-4410-a96a-b9a010914f16,235604047,Roche,"Senior Algorithm Engineer, Digital Pathology",on_site,"Mississauga, ON, Canada",2023-06-12T20:21:46.401Z,"

          The Position

          -

          REPORTING RELATIONSHIP

          -

          REPORTS TO: Director/ Senior Director, Imaging & Algorithms or Manager, Image Analysis

          -

          SUPERVISES: N/A

          -

          POSITION SUMMARY:

          -

          Works with a highly collaborative team of imaging scientists and software developers to solve image and data analysis problems in the field of Digital Pathology. Contributes to algorithm development activities for technology assessment, internal project collaborations, and commercial medical devices. Implements technology in the fields of image processing, machine learning, pattern recognition and data mining. Organizes and tracks own deliverables.

          -

          ESSENTIAL FUNCTIONS:

          -

          • Implements or modifies existing algorithms to analyze histopathology images and data.

          -

          • Lead algorithm development/experiments to analyze histopathology images

          -

          • Implements software in prototyping and commercial product development environments.

          -

          • Collaborates with other members of a project team to meet defined scientific and technical goals/requirements.

          -

          • Interacts in a multidisciplinary environment with internal and external stakeholders (e.g., pathologists, biochemists, instrumentation engineers, software engineers, and marketing representatives).

          -

          • Keeps up-to-date with technology advances and job training requirements in the medical device industry.

          -

          • Identifies and documents Intellectual Property opportunities for technology and applications.

          -

          • Presents results to project partners, collaboration partners within the Roche group, customers, and at scientific conferences.

          -

          • Other duties as may be assigned by management in the pursuit of the operational goals of the group.

          -

          MINIMUM QUALIFICATIONS:

          -

          Formal Training/Education:

          -

          • Master’s Degree in Computer Science, Biomedical Engineering, Electrical Engineering, or a related field.

          -

          • Or Ph.D.

          -

          Experience:

          -

          • Two years of experience in a related field; Four years with BS

          -

          • Hands-on experience with algorithm development for image or data analysis algorithms.

          -

          • Experience in the design and development of analysis algorithms for biomedical image data.

          -

          • Product development experience with a focus on data analysis preferred.

          -

          • Experience working with Digital Pathology tools or Software is a plus.

          -

          • Experience working with Medical devices a plus.

          -

          Knowledge, Skills, and Abilities:

          -

          • Excellent written and verbal communication skills.

          -

          • Excellent skill sets in Matlab, C++ or Python.

          -

          • Good understanding of scientific principles; good analytical and mathematical skills.

          -

          • Working knowledge and theoretical understanding of image analysis, pattern recognition, machine learning, computer vision, and data mining methods.

          -

          • Extensive experience with commonly used Deep Learning models and frameworks (e.g., Pytorch, Fastai, TensorFlow)

          -

          • Understanding and following of software engineering practices for prototyping and commercial product development languages.

          -

          • Basic understanding of biomedical image data, preferably in digital pathology.

          -

          -

          Who we are

          -

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

          -

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

          +

          Business Analytics, Business Intelligence (BI), Data Analytics, Data Science, Python (Programming Language), Structured Query Language (SQL), Tableau

          ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Consultant--Advanced-Analytics---12-months_2310858-1?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,aitalent@vectorinstitute.ai,https://www.cibc.com/en/about-cibc/careers.html,,,2023-08-03T17:46:23.810Z,False,0,23,139,https://talenthub.vectorinstitute.ai/jobs/243153987-consultant-advanced-analytics-12-months-at-cibc,,published,2023-07-04T17:46:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +c429c223-acd5-44c3-8a0c-30589c3c5be7,243216284,BMO Financial Group,Specialist- Risk Modelling & Analytics,on_site,"Ontario, Canada",2023-07-05T01:42:02.341Z,"
          +

          Application Deadline:

          10/30/2023

          -

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

          -

          Roche is an Equal Opportunity Employer.

          ",,https://roche.wd3.myworkdayjobs.com/roche-ext/job/Mississauga/Senior-Algorithm-Engineer--Digital-Pathology_202306-113012,aitalent@vectorinsitute.ai,https://www.roche.com/careers.htm,,,2023-07-12T20:22:16.238Z,False,0,8,53,https://talenthub.vectorinstitute.ai/jobs/235604047-senior-algorithm-engineer-digital-pathology-at-roche,,published,2023-06-12T20:21:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,Masters Degree,New Posting, -ab300eb8-56ba-4369-aa1a-f56ef4e6af8d,236957199,BMO Financial Group,"Manager, Operational Risk Reporting and Analytics",on_site,"Ontario, Canada",2023-06-17T01:42:03.026Z,"

          Address:

          250 Yonge Street

          Job Family Group:

          Data Analytics & Reporting

          -

          -

          -

          Supports the execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies. Supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance and minimizes risk.

          -
            -
          • Acts as a trusted advisor to assigned business/group.
          • -
          • Influences and negotiates to achieve business objectives.
          • -
          • Recommends and implements solutions based on analysis of issues and implications for the business.
          • -
          • Assists in the development of strategic plans.
          • -
          • Identifies emerging issues and trends to inform decision-making.
          • -
          • Researches existing or emerging requirements & related best practices to assist and develops recommendations for changes/enhancements. -
          • -
          • Helps determine business priorities and best sequence for execution of business/group strategy.
          • -
          • Conducts independent analysis and assessment to resolve strategic issues.
          • -
          • Leads the development and maintenance of the risk reporting framework.
          • -
          • Represents the risk reporting function during internal/external regulatory audits and/or examinations
          • -
          • Ensures alignment between stakeholders.
          • -
          • Coordinates the management of databases; ensures alignment and integration of data in adherence with data governance standards.
          • -
          • Builds change management plans of varying scope and type; leads or participates in a variety of change management activities including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
          • -
          • May provide specialized support for other internal and external regulatory requirements.
          • -
          • Provides input into the planning and implementation of ongoing operational programs in support risk reporting management framework.
          • -
          • Leads/participates in the design, implementation and management of core business/group processes.
          • -
          • Designs, develops, and implements reporting solutions to meet management and regulatory reporting requirements.
          • -
          • Provides advice and guidance to assigned business/group on implementation of analytical and reporting solutions.
          • -
          • Executes work to deliver timely, accurate, and efficient service for scheduled reporting production processes.
          • -
          • Supports the maintenance, monitoring, and measurement of key risk indicators to internal & external stakeholders.
          • -
          • Analyses data and information to provide risk-related insights and recommendations for the assigned portfolio e.g. capital at risk modeling, risk/return assessments, etc.
          • -
          • Supports the interpretation of internal and external policies and regulatory requirements relevant to the analytics and reporting mandate e.g. regulatory reporting.
          • -
          • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
          • -
          • Ensures strong governance and effective controls across risk reporting activities and information in accordance with enterprise standards.
          • -
          • Analyzes data and highlights significant information including variances, trends, opportunities and exposures; escalates as required.
          • -
          • Provides information and supports the process for internal and external audits.
          • -
          • Gathers and formats data into regular and ad-hoc reports, and dashboards.
          • -
          • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
          • -
          • Builds effective relationships with internal/external stakeholders.
          • -
          • Supports the maintenance of operational procedures and processes related to analytical and reporting processes.
          • -
          • Supports the development of tools and delivery of training focused on awareness and understanding of key data elements used in risk reporting.
          • -
          • Participates in the design, implementation and management of core business processes to ensure the accuracy of risk data used in reporting.
          • -
          • Organizes work information to ensure accuracy and completeness.
          • -
          • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
          • -
          • Provides specialized consulting, analytical and technical support.
          • -
          • Exercises judgment to identify, diagnose, and solve problems within given rules.
          • -
          • Works independently and regularly handles non-routine situations.
          • -
          • Broader work or accountabilities may be assigned as needed.

            Qualifications:

            -
          • -
          • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
          • -
          • In-depth knowledge of risk management metrics, KPIs and KRIs.
          • -
          • In-depth knowledge of industry trends and regulatory requirements for risk reporting.
          • -
          • In-depth product knowledge for the designated business/portfolio.
          • -
          • In-depth knowledge of risk management theory, processes and portfolio management reporting techniques.
          • -
          • In-depth knowledge of reporting & analytics concepts and applications.
          • -
          • In-depth knowledge of risk systems technology.
          • -
          • Deep knowledge and technical proficiency gained through extensive education and business experience.
          • -
          • Verbal & written communication skills - In-depth.
          • -
          • Collaboration & team skills - In-depth.
          • -
          • Analytical and problem solving skills - In-depth.
          • -
          • Influence skills - In-depth.
          • -
          • Data driven decision making - In-depth.
          • -
          -

          -

          -

          We’re here to help

          -

          -

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

          +

          MANDATE:

          -

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

          +

          The Specialist- Risk Modeling and Analytics is accountable for supporting the implementation of methodology enhancements used for quantifying market, derivative counterparty and traded credit risks in trading and underwriting portfolios so that the accuracy and reliability of risk measures and consequent business decisions reliant upon these data are enhanced. The role supports team members, performs research and contributes to day-to-day relationships with clients, who may be within Market Risk, Lines of Business, Technology & Solutions and creates required documentation in line with existing standards to ensure trade attributes and market data are captured and mapped correctly for pricing and counterparty credit risk calculation.

          -

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

          +

          KEY ACCOUNTABILITIES FOR THIS ROLE

          -

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

          +

          Risk Methodologies

          -

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

          -
          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Operational-Risk-Reporting-and-Analytics_R220032116?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-07-19T18:23:29.894Z,False,0,2,4,https://talenthub.vectorinstitute.ai/jobs/236957199-manager-operational-risk-reporting-and-analytics-at-bmo-financial-group,,published,2023-06-17T01:42:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -a8b42e2c-09f6-4dc1-b166-a7264047d664,237206020,EllisDon,Data Governance & Backup Specialist,on_site,"Mississauga, ON L4Y1M4, CAN Mississauga, ON L4Y1M4, CAN",2023-06-17T16:04:02.307Z,"

          Job Details

          Description

          -

          Connect with us LinkedIn, Instagram, Facebook, Twitter

          -

          Do you want to build the software that builds cities? EllisDon’s construction technology team is made up of Full-Stack Developers, Data Analysts, UX Designers, Product Owners, IT Operations and we’re growing fast! Our team also includes some of the best digital modelers and BIM specialists in the industry, experts who are working with the latest tech on projects in the billions of dollars.

          -

          We are a software development studio of 140+ people, backed by one of Canada’s top construction firms, with over 70 years in the industry and completing over $5 billion of work each year. We build software that is solving real-world problems on some of Canada’s largest construction projects.

          -

          Above all, we at EllisDon work hard to deliver great careers to one another. We choose to celebrate the strength in our differences, every day. EllisDon’s commitment to Inclusive Diversity is to work together to create an environment where every employee feels safe to be their true and authentic self. Ultimately, EllisDon’s purpose is to provide people with similar values the opportunity to achieve their full potential; to deliver that opportunity for great careers to one another; and to contribute meaningfully to the community we share with others.

          -

          In case you’re curious, here’s what the industry thinks of us and some of the impacts we've made to the communities we work in.

          -

          You as a Storage and Backup Specialist:

            -
          • Corporate Data Governance Strategy for Azure Cloud environment
          • -
          • MTTR planning including updates to Disaster Recovery and Business Continuity plans
          • -
          • Extensive experience in Storage Consolidation, Backup administration, testing, and verification of backups
          • -
          • Administer, maintain, troubleshoot, and support large complex multi-platform Storage environment that includes fiber channel SAN with multiple directors, servers, storage frames technologies, as well as enterprise backup technologies.
          • -
          • Architect, design and implement infrastructure solutions for server hosting, virtualization, storage area network, centralized back-up, security, monitoring.
          • -
          • Manage monitoring, alerting, capacity planning, provisioning, and reporting for all storage subsystems.
          • -
          • Identify, analyze, and resolve problems specifically on storage, backup and in general, cross platform environments.
          • -
          • Identify, define, and develop improvements to processes that support the infrastructure at all Core locations and Satellite office.
          • -
          • Prepare Implementation plan, rollback plan and test plan, risk, and impact analysis for critical or complex changes. Review the change plan and documentation prepared by level 2 engineers for peer review
          • +
          • Supports the development of methodologies used for quantifying market, derivative counterparty and traded credit risks in trading and underwriting portfolios based on best practices and regulatory requirements
          • +
          • Supports the activities related to data requirements for the development of internal models for market and counterparty credit risk management, regulatory and economic capital calculation
          • +
          • Contributes to change management activities related to model and methodology issues that expose the Bank to unusual, inappropriate or otherwise not fully identified or quantified traded credit and market risks
          • +
          • Supports the analysis of market data for revisions to risk factors and/or market model parameters for market and derivative counterparty risk applications
          • +
          • Participates in the model documentation process and ensures all documentation is in line with corporate standards
          • +
          • Contributes to relationships and timelines in day-to-day relationships with clients
          • +
          • Supports the team in various tasks as needed.
          -

          This is the right role for you, if you have:

          +

          +

          Communication

          +

            -
          • A University degree in Computer Science or equivalent
          • -
          • Experience with M365 Cloud Storage Solutions & Azure Cloud Files Services
          • -
          • Experience with Data Migrations and Systems Integrations
          • -
          • Experience with CommVault/Metallic experience is an asset
          • -
          • Back-up Experience On-Premise and Cloud
          • -
          • 8 years of F/T industry-level experience
          • -
          • Excellent communication skills, including an ability to work collaboratively across multi-disciplinary teams, interpersonal skills are essential.
          • +
          • Reports to the Director, Risk Models positions, exposures or other factors that may expose the Bank to unusual, unexpected, inappropriate or otherwise not fully identified or quantified risks associated with counterparty exposures
          • +
          • Participate in discussions with business managers and other stakeholders to understand objectives, supports activities to translate business requirements into development tasks
          • +
          • Maintain effective communication with management, peers and stakeholders
          • +
          • Establish relationships with managers to ensure own understanding of material risks and to assist them in making decisions
          • +
          • Participate in training to acquire the proper expertise related to processes involved in risk quantification
          • +
          • Familiarize with new and evolving Basel/regulatory requirements.
          -

          EllisDon is proud to provide this unique career opportunity that provides continuous learning, opportunity for growth, and a competitive compensation package within an environment that is committed to inclusion and respects diversity.

          -

          Go ahead and be yourself. We'll pay you for it!

          -

          We are an equal opportunity employer. We welcome people of any age, culture, subculture, gender identity or expression, sexual orientation, nationality, ethnicity, race, size, mental or physical status, veteran status, religion, language, political opinion, working-style preference, family status, education, and socio-economic status. The EllisDon core values of Integrity and Mutual Respect welcomes everyone, at work and in the community, and our value of Mutual Accountability, means that we all have a role to play. As an EllisDon employee, this will ultimately be your commitment to Inclusive Diversity.

          -

          Accommodation for Applicants with disabilities will be made during the recruitment process when requested.

          -

          We are committed to providing a positive candidate experience and ensuring timely updates are provided to all candidates. If you haven’t already, be sure to create a profile on our Careers page here to remain up to date on the status of your application and learn about new career opportunities as they arise.

          Qualifications

          Skills

          Behaviors

          :

          Motivations

          :

          Education

          Experience

          Licenses & Certifications

          ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=96f647c1-0c59-4269-9ab1-b4d94ed5f785,feed-importer@jobboard.io,,,,2023-07-19T21:41:22.325Z,False,0,2,16,https://talenthub.vectorinstitute.ai/jobs/237206020-data-governance-backup-specialist-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=96f647c1-0c59-4269-9ab1-b4d94ed5f785,published,2023-06-17T16:04:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Construction or Infrastructure,Senior Level,Bachelors Degree,New Posting, -ba02df6e-2fdb-4e80-a3c8-9b71f86798af,238529771,Scotiabank,"Manager, Loyalty Analytics - CID&A",on_site,Canada : Ontario : Toronto,2023-06-22T15:52:02.939Z,"

          -

          -

          -

          -

          Requisition ID: 180127

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

          -

          -

          Purpose:

          -


          The Data Scientist, Loyalty Analytics is accountable for conducting analyses and making fact-based recommendations for Canadian Retail by leveraging existing reward assets and partnerships. The incumbent will support his/her manager in providing analytical support and customer insights by working closely with Loyalty and Partnership, Retail Customer Value, Retail Lending, Retail Deposits teams. This role will access a wide range of sophisticated data sources to uncover insights and support various business initiatives.

          -



          Accountabilities:

          -


          • Work with key partners to identify opportunities to champion a customer focused culture, to develop or improve existing strategies, and to deepen existing customer relationships through loyalty rewards
          • Perform insightful analyses to understand our loyalty customer base holistically and generate new business ideas
          • Develop and maintain contractual reports, dashboards of Loyalty Partners
          • Support loyalty campaign sizing and post campaign analyses
          • Manage and prioritize multiple business initiatives, projects and ad-hoc analysis with business stakeholders and/or external partners/consultants
          • Acquire and enhance knowledge of business/product strategies, competitive practices, market insights, advanced analytical tools/methodologies to continuously improve analytics value

          -


          Requirements & Qualifications:

          -


          • 3+ years relevant extraction in an Analytic role in business, financial industry
          • Demonstrated proficiency in working with large datasets, raw data sources, both structured and unstructured data, using programming language such as SAS, SQL, Python (analytic/visualization related libraries: i.e. Numpy, Pandas), Spark
          • Experience in MinIO, Airflow, Git, Google Cloud Platform (BigQuery, Looker and Vertex AI etc.) would be an asset
          • Proficient in Power BI, Excel
          • Good verbal and written communication and presentation skills
          • Excellent analytical, logical, and organizational skills; a drive to understand the relationships between data and activities, draw conclusions and use critical thinking to validate/verify outputs
          • A strong focus on attention to detail to produce high quality, accurate and timely deliverables to meet deadlines
          • Creative problem solver, self starter, resourceful in getting things done
          • Graduate or undergraduate degree in quantitative discipline such as management analytics, statistics, mathematics, operations research, economics computer science, or engineering
          • MBA, CFA, CPA preferred

          -

          -

          Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Manager%2C-Loyalty-Analytics-CID&A/571509017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-22T18:16:48.568Z,False,0,2,19,https://talenthub.vectorinstitute.ai/jobs/238529771-manager-loyalty-analytics-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Manager%2C-Loyalty-Analytics-CID&A/571509017/,published,2023-06-22T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -5ef58704-6665-4ca8-9500-26a6f1659941,236452210,Scotiabank,"Senior Manager, Data Analytics & Governance",on_site,Canada : Ontario : Toronto,2023-06-15T15:52:03.913Z,"

          -

          -

          -

          -

          Requisition ID: 179743

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

          -

          -

          Purpose of Job:

          -

          -

          Working within Global Risk Management (GRM), the Senior Manager, Data Analytics & Governance focuses on data driven analyses resulting in useful insights that improve the Bank’s Operational Risk performance. Additionally, the role contributes to the implementation of enterprise data policies and standards by managing key data processes for the Global Operational Risk (GOR) team.

          -

          -

          Job Responsibilities:

          -

          -

          • Lead the development, implementation, and monitoring of GOR data strategies to minimize Operational Risk events and assist business line decision making.
          • Lead ad-hoc analysis that provide useful intelligence to improve Operational Risk understanding and identify opportunities to improve risk/reward tradeoff. Assess current/emerging trends that may impact GOR, communicate root causes and undesirable trends affecting risk tolerance through segmentation analytics and early warning triggers.
          • Deliver key analytics projects in partnership with enterprise data & analytics teams, GOR teams and business partners
          • Recommend improvements to existing processes to assist data analytics, including data collection in Source systems
          • Introduce changes under a test/control framework to help drive purpose, evidence-based decisions
          • Work closely with leadership teams to create data strategies that assist data modeling
          • Act as liaison between Data Office/Data Risk and GOR to communicate requirements ensuring compliance with data standards/ requirements
          • Data governance and stewardship assist, including data quality, data lineage, and data change management
          • Manages projects to deliver data changes, process updates, and audit/RDARR/OSFI deliverables
          • Conducts or assists detailed analysis and investigations of data feed and defect issues impacting monthly processes and/or data quality
          • Conducts or assists data trending and reasonability checks
          • Prepares management and technical presentations, interfaces with senior management and business users to document business requirements, data and information needs, and data exchange flow and provides assist/requirements for user acceptance testing
          • Manages communication with business partners and effectively communicates with the technology groups as well as data users in GOR and throughout GRM
          • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
          • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
          • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook, and the Guidelines for Business Conduct.
          • Champions a high-performance environment and contributes to an inclusive work environment.

          -

          Job Requirements:

          -

          -
          • Minimum of 5 years of data centred experience, preferably in a bank / financial institution
          • Experience in statistical & quantitative analysis
          • Experience in programming (SAS/Python/R) and databases (SQL, DB2) knowledge; ability to process and assess large volumes of data
          • Experience in use of PowerBI, Tableau, or other data visualization tools
          • Experience with Operational Risk platforms and methodologies, and their application in judicious decision making, is strongly desired
          • Strong communication and presentation skills complemented with solid problem-solving skills
          • Growth mindset with noetic curiosity, proactiveness and passion for continuous learning
          • Solid interpersonal skills with ability to build judicious relationships and influence stakeholders
          • Ability to present complex information in a simplified way to various audiences
          • Bachelor’s degree or higher, preferably in Economics, Finance, Statistics, Industrial Engineer, Mathematics, Computer science, or Information technology related discipline
          • Fluency in Spanish is an asset
          • +

            +

            +

            +

            System Development

            +

            +
              +
            • Participate and support development of business requirements for model or system enhancements, including specification of user acceptance test requirements. Participate in user acceptance testing and other activities to ensure business and analytic requirements are correctly implemented
            • +
            • Support the Director in Risk Models vis-a-vis Technology & Solutions - Risk Management to ensure proper and timely implementation of model enhancements on systems within the project scope. Escalate to the Director, Risk Models delays or unexpected problems that may impede progress.
            -

            -

            -

            Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Senior-Manager%2C-Data-Analytics-&-Governance/571271517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-16T01:18:05.972Z,False,0,2,14,https://talenthub.vectorinstitute.ai/jobs/236452210-senior-manager-data-analytics-governance-at-scotiabank,https://jobs.scotiabank.com/job/Senior-Manager%2C-Data-Analytics-&-Governance/571271517/,published,2023-06-15T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -e561500e-a04e-4400-a960-db40ac25a098,240674638,BMO Financial Group,"Manager, Credit Risk Modelling & Analytics",on_site,"Ontario, Canada",2023-06-29T01:42:01.573Z,"
          -

          Address:

          100 King Street West

          -

          -

          Job Family Group:

          Data Analytics & Reporting

          -

          +

          The Specialist- Risk Modeling and Analytics is accountable for supporting the implementation of methodology enhancements used for quantifying market, derivative counterparty and traded credit risks in trading and underwriting portfolios so that the accuracy and reliability of risk measures and consequent business decisions reliant upon these data are enhanced. The role supports team members, performs research and contributes to day-to-day relationships with clients, who may be within Market Risk, Lines of Business, Technology & Solutions and creates required documentation in line with existing standards to ensure trade attributes and market data are captured and mapped correctly for pricing and counterparty credit risk calculation.

          +

          Supports the research and development of quantitative risk modeling methodologies and related strategies in support of the management of risks arising from business/group portfolios and products. Applies knowledge of analytics algorithms and technologies to develop forward looking models and analytic solutions that ensure risks are properly identified, understood and risk related strategies are enabled. Summarizes statistical findings, draws business conclusions, and presents actionable business recommendations used in the management of risks and related activities e.g. associated internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations. Drives innovation through the development of data products that can be leveraged across the organization and establishes best practices as well influences data governance guidelines and policies. May specialize in one or more risk categories e.g. Credit Risk, Market Risk, Interest Rate Risk, etc.

          • Acts as a trusted advisor to assigned business/group.
          • @@ -7236,155 +13832,340 @@ e561500e-a04e-4400-a960-db40ac25a098,240674638,BMO Financial Group,"Manager, Cre
          • Provides specialized consulting, analytical and technical support.
          • Exercises judgment to identify, diagnose, and solve problems within given rules.
          • Works independently and regularly handles non-routine situations.
          • -
          • Broader work or accountabilities may be assigned as needed.

            Qualifications:

            -
          • -
          • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
          • -
          • Data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS.
          • -
          • Relevant experience in risk, capital, and/or treasury management is preferred.
          • -
          • A professional designation in Finance or Risk management is preferred.
          • -
          • Post-secondary degree in Finance/Economics/Math required.
          • -
          • Professional designation in Finance or Risk management required.
          • -
          • Deep knowledge and technical proficiency gained through extensive education and business experience.
          • -
          • Verbal & written communication skills - In-depth.
          • -
          • Collaboration & team skills - In-depth.
          • -
          • Analytical and problem solving skills - In-depth.
          • -
          • Influence skills - In-depth.
          • -
          • Data driven decision making - In-depth.
          -

          -

          -

          We’re here to help

          -

          -

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

          -

          -

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

          -

          -

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

          -

          -

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

          -

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

          -
          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Modelling---Analytics_R220031603?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-07-29T18:12:04.051Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/240674638-manager-credit-risk-modelling-analytics-at-bmo-financial-group,,published,2023-06-29T01:42:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -5254ad1b-3762-4224-bf53-767237a1b599,240674822,Borealis AI,Senior Machine Learning Research Team Lead,on_site,"Ontario, Canada",2023-06-29T01:58:05.651Z,"
          -

          What\'s the opportunity?

          -

          Borealis AI is looking for a Senior Research Team Lead. The role includes managing a team of research team leads, researchers, and research engineers with the goal of delivering AI-based products for the financial services industry. In addition, you will lead initiatives that improve the effectiveness of the research organization.

          -

          Your responsibilities include:

          -
            -
          • To lead a team of machine learning researchers delivering cutting edge AI technology to support AI-based products.
          • -
          • To partner with Borealis AI’s product and engineering teams to ensure the seamless delivery of these products.
          • -
          • To manage other research team leads and provide guidance and support.
          • -
          • To lead initiatives that improve the overall performance of the Borealis AI Research Team.
          • -
          • To help recruit, mentor and retain a high-performing research team.
          • -
          -

          You’re our ideal candidate if you have:

          +

          Qualification:

            -
          • A Ph.D. degree in Computer Science or a related technical field;
          • -
          • 5 years of experience leading machine learning research teams in a product-centric environment or equivalent experience;
          • -
          • A track record of successful people management including mentoring junior researchers and engineers, experienced high-performance researchers, and research managers;
          • -
          • Experience delivering high-impact machine learning products
          • -
          • Involvement across the research and development lifecycle, from prototyping to production, engaging with stakeholders to develop solutions that meet business needs;
          • -
          • Detailed knowledge of cutting edge machine learning techniques;
          • -
          • The ability to formulate and drive a research project independently;
          • -
          • Exceptional communication skills;
          • -
          • A history of high quality academic publications (e.g., NeurIPS, CVPR, AISTATS, ICLR, ICML etc.);
          • +
          • Graduate degree in a technical field (e.g. Engineering, Computer Science, Mathematics, Finance, Statistics)
          • +
          • Minimum of 3 to 5 years of experience within Capital Markets and Risk Management, with in-depth knowledge of financial products such as OTC derivatives, security financing
          • +
          • Hands on experience in derivatives product pricing and implementation testing
          • +
          • Broad understanding and experience with risk management methodologies, preferably in Counterparty Credit Risk context
          • +
          • Experience with Adaptiv CCR platform is an asset
          • +
          • Working knowledge of a combination of Python, C#, C++ and VBA.
          -

          What\'s in it for you?

          +

          +

          Skills

            -
          • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
          • -
          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
          • -
          • Ability to make a difference and lasting impact from a local-to-global scale.
          • +
          • Excellent written and verbal communication skills
          • +
          • Strong attention to detail
          • +
          • Effective problem solving and critical thinking skills
          • +
          • Ability to meet deadlines and manage priorities
          • +
          • Highly collaborative and relationship-oriented; enjoys working with others.
          -

          About Borealis AI

          -

          Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

          -

          Inclusion and Equal Opportunity Employment

          -

          RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

          +

          +

          +

          We’re here to help

          +

          +

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

          +

          +

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

          +

          +

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

          +

          +

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

          +

          +

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

          +
          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Specialist--Risk-Modelling---Analytics_R230011021-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-08-05T16:22:58.915Z,False,0,5,47,https://talenthub.vectorinstitute.ai/jobs/243216284-specialist-risk-modelling-analytics-at-bmo-financial-group,,published,2023-07-05T01:42:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +a122658c-8f45-483b-9523-5746c9841113,242607502,Scotiabank,"Director, Advanced Analytics - CID&A",on_site,Canada : Ontario : Toronto,2023-07-03T15:52:03.460Z,"

          +

          +

          +

          +

          Requisition ID: 180450

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

          +

          +

          Purpose:

          +

          +

          This role will be reporting to the Vice President of Canadian Banking Analytics as Director, Advanced Analytics responsible for the application of advanced analytics across the CB Retail portfolio to drive immediate and long term value. This role acts as horizontal function across the Canadian Banking Analytics team supporting other analytics teams as well as key business teams directly. This includes maintaining key ML/AI based assets (e.g. Customer Value Index, Financial Vulnerability Index) as well as leading applied innovation to create the next set of reusable assets to benefit the retail bank. The incumbent will lead and develop a team of data scientists to enable the delivery of leading-edge analytics assets and programs.

          +

          +

          The position plays a leading strategic role in also integrating with the broader CIDA organization and bringing assets to accelerate the development of tools and assets to drive value for CB Retail.

          +

          +

          Accountabilities:

          +

          +
          • Drive evolution of how advanced analytics is practically applied and used across CBA and the broader CB Retail team
          • Create a continuous backlog of ideas and assets that can help drive value through automation, increased customer personalization, optimization
          • Act as a champion and SME for the latest thinking on Advance Analytics across the industry including Machine Learning, AI and related concepts
          • Maintain key assets developed by the team and continue to evolve as business needs evolve including but not limited to Customer Value Index, Financial Vulnerability Index, Machine Learning Accelerator etc.
          • Integrate with broader communities of practice in AI and Machine learning to ensure reuse and shared learning
          • Be a champion of driving adoption of cloud capabilities as the bank moves to GCP ensuring existing assets are migrated and that the team is able to ramp up on new technologies effectively
          • Responsible for having a detailed planning view for all projects undertaken, in a manner that optimizes the ROI from these projects and ensures their alignment with the organization’s strategic objectives
          • Responsible for ensuring projects are delivered on time, within budget and deliver agreed upon KPI's while also identifying opportunities for reusability and scale
          • Develop team and create a high performing culture that nurtures talent and helps bring to life our values of collaboration, growth and respect
          • Identify and coordinate training opportunities across GDAS team, ensuring alignment to GDAS strategy and team needs
          • Support and drive strategic issues and opportunities and collaborate with CB Retail executive team to help drive key business decisions and actions
          • +
          +

          +

          Requirements & Qualifications:

          +

          +
          • Proven expert in advanced analytics and its practical application
          • Recognized and resilient team leader who inspires a results-oriented customer-centric culture
          • Exceptional business planning, strategy development and execution skills
          • Proven relationship management skills with demonstrated seamless collaboration across multiple stakeholders
          • Experience in leading teams and working with multiple stakeholders
          • Demonstrated strong collaborative skills—Analytics & Insights is a team sport
          • Strong consultative skills
          • Experienced with analytics DevOps practices and tools.
          • Strong applied data science skills
          • Exceptional written and verbal communication skills, including the ability to explain data and findings to a non-technical and executive audience
          • Ability to multitask and manage multiple research projects
          • Demonstrated strong attention to detail, problem-solving, and critical thinking
          • Self-motivated, driven and impact-oriented
          • Ability to manage end-to-end opportunities – from identifying them to helping drive their implementation
          • Problem-solving and analytical skills to rapidly assess problem situations and creatively develop alternate solutions
          • +
          +

          +

          +

          Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Toronto-Director%2C-Advanced-Analytics-CID&A-ON-M5C2T6/571633217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-03T14:43:17.480Z,False,0,2,26,https://talenthub.vectorinstitute.ai/jobs/242607502-director-advanced-analytics-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Director%2C-Advanced-Analytics-CID&A-ON-M5C2T6/571633217/,published,2023-07-03T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Director,No Degree,New Posting, +999fe028-5234-423f-9ac8-14a86a11aa5e,245265864,TELUS,Data Scientist/Sr. Data Scientist,on_site,"Ontario, Canada",2023-07-11T02:18:02.180Z,"
          +
          +

          Description

          +

          -
          ",,https://www.borealisai.com/careers/?gh_jid=6616707002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-07-29T18:14:29.837Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/240674822-senior-machine-learning-research-team-lead-at-borealis-ai,,published,2023-06-29T01:58:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,PhD,New Posting, -3699dd0c-c567-4b67-b8eb-155bf5e90dcf,236958266,Vector Institute,Applied Machine Learning Scientist,on_site,"Ontario, Canada",2023-06-17T02:12:02.994Z,"

          JOB DESCRIPTION

          -

          Applied ML Scientist

          -

          POSITION OVERVIEW

          -

          As an Applied ML Scientist, you will provide technical leadership and contribute to focused research breakthroughs and applications to solve real-world problems with machine learning and AI. You will provide guidance and work with some of the best and brightest data scientists and machine learning engineering staffs from leading industry and health organizations.

          -

          -

          Publishing research papers on applied research is a part of this role, but the focus is on impact of applications, not on the quantity or quality of publications. We are seeking a scientist with research experience in Responsible AI in a deep learning context. Experience in Fairness, Explainability, Privacy, AI Safety, Recommender Systems, and Natural Language Processing (NLP) are all valuable areas of knowledge for this role.

          -

          -

          RESPONSIBILITIES

          -

          -
            -
          • Research and implement state of the art machine learning techniques to solve real world problems;
          • -
          • Work in collaboration with Researchers, Machine learning specialists, Vector Faculty Members and Affiliates to build demos, minimum viable products (MVP), reference implementations, and prototypes;
          • -
          • Provide scientific advice regarding overall machine learning application strategies and roadmaps;
          • -
          • Provide scientific oversight for Vector-led or co-led efforts to prepare specific datasets for machine learning research;
          • -
          • Serve as the lead Vector scientific contributor for responsible AI, health, and industry projects including contributing to or leading the authoring of peer-reviewed research papers;
          • -
          • Contribute to training sessions and other initiatives for Vector staff and stakeholders that help increase AI knowledge and the capacity of the system to recognize and act on opportunities to apply machine learning in a responsible manner;
          • -
          • Serve as an expert and facilitate identification of experts among the Vector research community for external stakeholders (e.g., health and other sectors) to advise on machine learning research trends and applications; and,
          • -
          • Other related duties as assigned.
          • -
          -

          -

          REQUIREMENTS

          -

          -
            -
          • PhD degree in computer science or computer engineering with a research focus on machine learning
          • -
          • Demonstrated expertise in one or more of: Fairness in AI/ ML systems, Explainable AI, AI Safety, privacy for AI/ML, AI governance, Nature Language Processing (NLP), Natural Language Understanding and generation
          • -
          • Demonstrated experience applying machine learning research to novel problems and data sets
          • -
          • Experience with software engineering and/or data engineering is considered an asset
          • -
          • Strong knowledge and experience of Python
          • -
          • Experience with parameter and architecture tuning of deep learning algorithms
          • -
          • Experience using open source deep learning software frameworks (e.g, PyTorch, Tensorflow, JAX)
          • -
          • Experience with recommendation systems is considered an asset
          • +

            Join our team and what we\'ll accomplish together

            +

            +

            The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high-quality data, and a data-product-oriented culture while always keeping an eye on the horizon, preparing for the next big thing.

            +

            +

            We are entrepreneurial and live by our AI Manifesto of failing fast and being outcome vs technology-driven, creating value for our customers, team members, communities, and the environment. The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web visualizations, we do it all!

            +

            +

            Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

            +

            +

            Here’s the impact you’ll make and what we’ll accomplish together

            +

            +

            You’ll be a part of the team and journey that will transform the way we do business across various domains. You’ll collaborate with teams across the company, seeking out various data sources to help identify new business opportunities while championing data-driven decision-making and the accelerated adoption of AI.

            +

            +

            As a Data Scientist on the team, you will combine your expert knowledge of data science with your strong software development skills to automate and facilitate data exploration, analytics, machine learning model development, training and deployment and will leverage your experience in building reusable algorithms, functions and libraries.

            +

            +

            Here\'s how

            +
              +
            • Lead the iterative development, validation, and deployment of AI/ML models
            • +
            • Collaborate on end-to-end automation efforts required to bring models to production
            • +
            • Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
            • +
            • Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
            • +
            • Influence how we approach business challenges and opportunities by driving the adoption of a data-driven mindset
            • +
            • Develop re-usable code aimed at delivering on future goals faster and more reliably
            • +
            • Support and evolve the Advanced Analytics and Data Science roadmap by leveraging industry research, best practices and emerging tools/technology
            • +
            • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
            -

          ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=9200420850870_2&jobId=448483&lang=en_CA&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2023-07-19T18:33:23.979Z,False,0,8,85,https://talenthub.vectorinstitute.ai/jobs/236958266-applied-machine-learning-scientist-at-vector-institute,,published,2023-06-17T02:12:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Associate,PhD,New Posting, -14376b18-e2ea-40cd-af9b-c6f891ee38fd,242607511,Scotiabank,Manager Treasury Risk Analytics,on_site,Canada : Ontario : Toronto,2023-07-03T15:52:04.774Z,"

          +

          #DSEjobs

          +
          +
          +
          +

          Qualifications

          +
          +


          What you bring

          +
            +
          • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
          • +
          • You are sought out for your skills in Machine Learning and AI, including regression, classification, clustering, time series analysis, NLP, and optimization and bring 2-4 years of hands-on work and practical business experience in the above areas
          • +
          • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences
          • +
          • You have solid development experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras and have applied these skills towards solving actual business matters
          • +
          • You are comfortable in and with a Jupyter environment and infrastructure, and familiar with GitHub
          • +
          • You possess advanced knowledge in SQL and distributed computing
          • +
          • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
          • +
          • You are well versed in software and AI development lifecycles, including ML Ops
          • +
          • You are agile and have a bias for action, removing roadblocks to get results fast
          • +

          -

          Requisition ID: 180085

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

          +

          Great-to-haves

          -

          Purpose of Job:

          +
            +
          • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, Engineering, or Data Science
          • +
          • Experience with agile methodology and work in a start-up environment
          • +
          • GCP or other cloud certifications
          • +

          -

          The manager in Trade Floor Risk Management International team is primary focused on providing structural, liquidity, and market risk oversight for Scotiabank's operations in Latin America and Caribbean units, ensuring all positions and their inherent key risks are properly identified, quantified, monitored, and reported.

          -

          -

          This role has regular exposure to Senior Management across different areas and jurisdictions to discuss and provide recommendations on market risk related issues in the region; written and oral presentations are done on a regular basis to Senior Level Executives.

          -

          -

          The manager will also assess business proposals and provide recommendations on the appropriate risk frameworks in line with Scotiabank's standards and policies.

          -

          -

          Other activities include, drawing periodic reports, developing tools to improve the team's risk oversight, reviewing the risk framework of the different jurisdictions, assessing data quality, ensuring information integrity, and implementing technology related projects.

          -

          -

          Job Responsibilities:

          +

          #LI-REMOTE

          -

          Business Relationship: Develop effective relationships with business lines that foster awareness of the Bank's risk framework and sharing of information.

          -

          -

          Proactivity: Self-initiated behavior that endeavors to propose and execute solutions to daily challenges and tasks.

          -

          -

          Market Intelligence/Proactive Analysis: Maintain regular dialogue with business lines and control functions with respect to market developments and risk matters, including changes in risk profile and P&L drivers. Monitor international financial markets/events, identify new trends and summarize new regulatory requirements.

          -

          -

          Responding to Requests/Events: Facilitate effective risk-reward decisions by providing a separate opinion on business initiatives, including calibrating risk limits in alignment with the Bank's risk appetite framework.

          -

          -

          Valuation: Ensure portfolios are accurately valued through analysis of daily P&L results and oversight over Separate Price Verification process.

          -

          -

          Communication: Distilling relevant daily risk/market information into highlights, ensuring material issues are informed to stakeholders.

          -

          -

          Report Effectiveness: Run daily processes within deadlines (e.g., reports, analysis, etc.) and identify process improvement opportunities. Contribute to the testing and development of new tools to automate risk processes across different jurisdictions.

          -

          -

          Team player: Work effectively with other team members and/or stakeholders with emphasis on getting things done through proactive participation and collaboration.

          -

          -

          Job Requirements:

          -

          Advise and assist International Subsidiaries in the development of their risk management framework in line with the Bank’s standards for balance sheet management (e.g., Static Interest Rate Gaps, Net Interest Income, Economic Value, duration gap.), liquidity risk management (e.g., Liquidity Cash Gap, Liquidity Buffer, Liquidity Stress Testing) and market risk management (VaR, sVaR, Interest Rate Sensitivity (DV01)).

          -

          -

          Conceptualize, develop, and deploy value-added analytical tools and data visualization solutions to assist treasury activities around structural interest rate risk and liquidity management. Develop and maintain tools and processes to eliminate manual tasks with automation.

          -

          -

          -

          Qualifications:

          -

          -
          • Strong knowledge of market risk management processes and measurement techniques is required.
          • At least 3 years of previous experience in liquidity risk, interest rate risk or market risk management.
          • Knowledge of the Bank's risk appetite and risk framework is an asset.
          • Strong communication skills are critical as there is close interaction with the regional Treasurers, Traders, and local Market Risk Management teams. Spanish is an asset.
          • Strong writing skills are critical as written communication is often used to present key issues and recommendations to Senior Management and/or to the Bank's Market Risk and Management Policy Committee.
          • Given the high volume of activity, the manager must be able to prioritize ongoing initiatives and efficiently multi-task to meet objectives. Ability to adapt to a dynamic and fast-paced environment is a must.
          • +
          +
          +
          ",,https://careers.telus.com/job/Toronto-Data-ScientistSr_-Data-Scientist-ON/571745517/,feed-importer@jobboard.io,,,,2023-08-16T17:51:18.390Z,False,0,3,10,https://talenthub.vectorinstitute.ai/jobs/245265864-data-scientist-sr-data-scientist-at-telus,,published,2023-07-11T02:18:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, +d8776456-a356-4a84-a945-49bffcd38927,247732674,BenchSci,Senior Machine Learning Engineer - Computer Vision (Remote),full,"Toronto, Ontario Remote",2023-07-17T16:04:02.354Z,"
          We are looking for a Machine Learning Engineer - Computer Vision to join our growing ML team. You will work on challenging computer vision problems to have an impact on the 31,000+ life scientists across the world who rely on BenchSci for their research. Reporting to the Engineering Manager, ML, you'll apply your domain expertise to select, train and deploy the best-suited machine learning algorithms, collaborate and experiment with scientists, and apply techniques to build solutions to shape the future of scientific discovery. You will have plenty of room for technical innovation and greenfield to explore and propose computer vision solutions to a complex area.
          +
          +

          You will:

          +
              +
            • Improve the performance and scalability of ML models and pipelines that are at the core of BenchSci's products
            • +
            • Work on different stages of the problem from prototyping to production
            • +
            • Contribute to key components across the machine learning ecosystem defining BenchSci's ML Technical Roadmap
            • +
            • Investigate what technologies that will best enable BenchSci to identify experimental insights through proof-of-concepts
            • +
            • Work with diverse teams to correctly capture the nuances of biology, translating them into ML objectives
            • +
            • Advocate for code and engineering process improvements across your team, and help define best practices
            • +
            • Participate in sprint planning, estimations, and reviews
            • +
            • Work with teammates to ensure high-quality deliverables
            • +
          +
          +
          +

          You have:

          +
              +
            • 3+ years of experience working as a professional developer, with at least 2 years of this focused on machine learning and computer vision
            • +
            • A Bachelor's or Master's degree in Computer Science, Mathematics, or other related disciplines
            • +
            • Excellent software engineering skills in Python
            • +
            • Comprehensive knowledge in the end-to-end machine learning lifecycle, including the nuances of the infrastructure and operationsExperience with ML and/or Computer Vision fundamentals
            • +
            • Experience productionizing ML models Experience with PyTorch, TensorFlow, Scikit-learn, and image processing libraries such as OpenCV and Scikit-image
            • +
            • Experience with distributed and cloud-based data processing frameworks such as Apache Spark or Apache Beam
            • +
            • A constant desire to develop
            • +
            • A team player who strives to see teammates succeed together
            • +
          +
          +
          +

          +

          +
          Benefits and Perks:
          +
          An engaging remote-first culture
          +
          A great compensation package that includes BenchSci equity options
          +
          15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
          +
          Unlimited flex time for sick days, personal days, religious holidays
          +
          Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
          +
          A $2000 CAD* Annual Learning & Development budget
          +
          A $1000 CAD* home office set-up budget
          +
          A $2500 CAD*wellness, lifestyle and productivity spending account for employees
          +
          Generous parental leave benefits with a top-up plan or paid time off options
          +
          *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.
          +

          +
          About BenchSci:
          +
          BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
          +
          Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
          +

          +
          Our Culture:
          +
          BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
          +
          We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
          +
          You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
          +

          +
          +Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
          +

          +
          +Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
          +

          +
          #LI-Remote
          +
          ",,https://jobs.lever.co/benchsci/70149476-b05b-4c4b-9880-f918c403cac9?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-08-16T23:27:39.702Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/247732674-senior-machine-learning-engineer-computer-vision-remote-at-benchsci,https://jobs.lever.co/benchsci/70149476-b05b-4c4b-9880-f918c403cac9,published,2023-07-17T16:04:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,New Posting, +4fa42d53-fca1-4002-8091-729a2b18b760,246386723,Borealis AI,Principal Researcher,on_site,"Ontario, Canada",2023-07-14T01:58:02.362Z,"
          +

          What\'s the opportunity?

          +

          As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

          +

          Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

          +

          Your responsibilities include:

          +
            +
          • Developing novel AI solutions that facilitate impactful products;
          • +
          • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
          • +
          • Working with the development team to transfer research work into production;
          • +
          • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
          • +
          • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
          -

          -

          Educational Requirements:

          -

          -
          • Quantitative Undergraduate (e.g., Economics, Finance, Mathematics, Statistics, Engineering, etc.) with a master’s degree (e.g., MSc, Master of Finance, Master of Risk Management, etc.).
          • FRM and/or CFA certifications are an asset.
          • Proficiency using programming languages and data management software, including Python, R, SQL, Visual Basic, etc.
          • Strong technical knowledge and work experience in data visualization tools (i.e., Tableau, Power BI).
          • Knowledge of market risk management processes and metrics.
          • Knowledge of Spanish is an asset
          • +

            You’re our ideal candidate if you have:

            +
              +
            • A passion for solving open problems using data and algorithms;
            • +
            • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
            • +
            • Ability to formulate and drive a research project independently without close supervision;
            • +
            • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
            • +
            • Demonstrated ability to deliver machine learning solutions following industry best practices in software engineering is an asset.
            • +
            • Experience with time series or event forecasting, especially with asynchronous data, is an asset.
            • +
            +

            What’s in it for you?

            +
              +
            • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
            • +
            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
            • +
            • Leaders who support your development through coaching and managing opportunities;
            • +
            • Ability to make a difference and lasting impact from a local-to-global scale.
            • +
            +

            About Borealis AI

            +

            Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

            +

            Inclusion and Equal Opportunity Employment

            +

            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request

            +
          ",,https://www.borealisai.com/careers/?gh_jid=5870636002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-08-16T22:53:41.648Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/246386723-principal-researcher-at-borealis-ai,,published,2023-07-14T01:58:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, +13ed9eaa-a328-462a-9d38-8941598009bf,240254605,Layer 6,Machine Learning Scientist ,on_site,"Toronto, ON, Canada",2023-06-27T17:33:34.750Z,"

          Layer 6 is a leading machine learning research company, developing advanced deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence.

          +

          Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform. Research areas include deep learning, computer vision, time series analysis, natural language processing and recommendation systems etc.

          +

          Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), Kaggle: RSNA Pneumonia Detection Challenge (4th place in 2018) and the Stanford Question Answering Dataset (2nd place in 2019).

          +

          Layer 6 was founded in Toronto in 2016 and backed by some of the most successful technology entrepreneurs in Canada. Layer 6 was acquired by TD Bank Group in 2018 and we continue being based in Toronto’s Discovery District – MaRS Centre.

          +

          As a machine learning scientist, you will

          +
            +
          • Join a world-class team of machine learning researchers with an extensive track record in both academia and industry.
          • +
          • Research, develop, and apply new techniques in the intersection of deep learning and personalization to further advance our industry leading product.
          • +
          • Work with diverse real-life datasets that range from banking transactions, to predictive health applications, to audio/video consumption.
          • +
          • Collaborate closely with the engineering team in a fast paced startup environment and see your research deployed in production with very short turnaround.
          • +
          +

          Required Qualifications

          +
            +
          • PhD degree in Computer Science, Statistics, Operations Research, Mathematics or related field
          • +
          • Strong background in machine learning
          • +
          • 5+ years of research experience with publication record
          • +
          • Proven track record of applying machine learning to solve real-world problems
          • +
          +

          Preferred Qualifications

          +
            +
          • Experience with deep learning and/or collaborative filtering
          • +
          • Hands on experience in software systems development and SaaS applications
          • +
          • Experience with one or more Java, Matlab, Scala, Tensorflow and MXNet
          • +
          • Experience using GPUs for accelerated deep learning training
          • +
          • Familiarity with AWS
          • +
          +

          Benefits

          +
            +
          • Entrepreneurial and inclusive culture
          • +
          • Excellent health coverage
          • +
          • Four weeks paid vacation
          • +
          • Catered lunches twice a week over machine learning talks
          • +
          • Opportunities to collaborate with faculty at the Vector Institute
          • +
          ",,https://layer6.ai/careers/#Machine-Learning-Scientist-183,aitalent@vectorinstitute.ai,https://layer6.ai/careers/,,,2023-07-27T17:33:37.275Z,False,0,27,179,https://talenthub.vectorinstitute.ai/jobs/240254605-machine-learning-scientist-at-layer-6,,published,2023-06-27T17:33:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,PhD,New Posting, +5e6bbdee-003e-4826-aefd-21cacca384c0,243156861,TELUS, Senior Data Engineer,on_site,"Toronto, ON, Canada",2023-07-04T19:02:05.415Z,"

          Description

          +

          +

          Our team and what we’ll accomplish together

          +

          +

          Are you obsessed with data and identifying ways to harness and scale data intelligence across an entire organization? Do you love collaborating with fellow data professionals to develop innovative data solutions that lead to positive business outcomes? If your answer is yes, we would be delighted to have you onboard TELUS’ Data Strategy & Enablement team to provide vision and strategic guidance, while driving flawless execution on the development and evolution of large-scale machine learning environments.

          +

          +

          You’ll be part of a multidisciplinary team of data wizards who are capitalizing on analytics and insights to deliver exceptional products and services for our customers. In turn, we hope you’ll enjoy being a valued member of Canada’s #1 global workplace with a world-leading culture featuring extensive community-giving initiatives, flexible work environment including remote work, award-winning opportunities for career development, and a competitive compensation and benefits package.

          +

          +

          As a technology company, data is central to our mission to create better outcomes for our customers, especially as we strive to deliver next-generation networks like 5G; unlock the full potential of the Internet of Everything to power smart homes, businesses, industry, healthcare and cities; and deliver an incredible customer experience. Our Data Strategy & Enablement team is at the helm of building world-class data solutions by delivering data analytics capabilities built upon unified scalable platforms, advanced Augmented Intelligence (AI) tooling, high-quality data, and a data product and platform-oriented culture. At the same time, this team remains passionate champions of reliability, security and privacy by design, and is committed to creating the utmost level of privacy and security protections for all data on our networks and systems.

          +

          +

          You’ll provide vision and strategic guidance to evolve from common static analysis to dynamic machine learning deployments, as well as expand our teams’ access to deep insights that improve the customer experience. You’ll work with a talented team of Data Scientists and other professionals to manage TELUS’ data platforms and offer the best possible analytics experience to internal stakeholders using the data. And finally, as a trusted advisor and partner, you’ll collaborate across various business units to accelerate the transformation of our platforms, improve the customer and team member experience, and drive business efficiencies.

          +

          +

          What you’ll do

          +

          +
            +
          • Build and maintain scalable data infrastructure that offers a best-in-class experience for internal stakeholders including consistent extraction of value from the data
          • +
          • Drive data ingestion and processing in innovative ways that inform strategic priorities and decision-making across the organization
          • +
          • Foster continuous systems transformation as we migrate infrastructure and applications to Google Cloud Platform (GCP)
          • +
          • Build expertise in the team to expose efficiency insights across data platforms in the cloud
          • +
          • Manage our cloud data analytics platform priorities to make sure data security and privacy are top considerations
          • +
          • Implement automation and monitoring tools through a test-driven approach and mindset
          • +
          • Drive the adoption of new cloud technologies to further advance TELUS’ data transformation strategy
          • +
          +

          +

          #DSEjobs

          +

          Qualifications

          +

          +

          What you bring

          +

          +
            +
          • You are recognized for your 8+ years of experience of IT platform implementation in a technical capacity
          • +
          • You are sought out for your 5+ years’ experience of data warehouses/cloud architectures and platforms implementation with experience implementing and performance tuning
          • +
          • An expert understanding of data warehouses/cloud architectures and ETL processes
          • +
          • Advanced working SQL knowledge and experience working with relational databases and query authoring (SQL), as well as working familiarity with a variety of databases
          • +
          • Experience with cloud platforms: GCP, Amazon or Azure (GCP gives you an edge!)
          • +
          • Experience with Python and software engineering best practices
          • +
          • Advanced knowledge in Dataflow, Spark and Kafka, as well as other data pipeline components
          • +
          • Experience with data pipeline and workflow management tools such as Airflow
          • +
          • Experience with Github and CICD processes
          • +
          • Having a proven track record in leading data analytics platform projects
          • +
          • Ready to work in new and challenging work environments
          • +
          • Getting excited by the opportunity to build a team's capabilities to create value and innovate through data, and doing so in an agile manner with a bias for action and speed
          • +
          • Envisioning and delivering future technical roadmaps while inspiring others along the way
          • +
          • Being a senior strategist and mentor who is sought out when it comes to analyzing and translating technicalities into business implications
          • +
          • Working in cross-functional teams with exemplary communication and coordination skills
          • +
          • Proving your analytical skills with root cause analysis of issues
          • +
          • Demonstrating resilience, a questioning mindset, and strong observation skills and curiosity – you never settle for the status quo
          • +
          • Caring passionately about your stakeholders and providing them with the data and insights they need to deliver on their customer and business outcomes
          -

          -

          Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Toronto-Manager-Treasury-Risk-Analytics-ON-M5H-0B4/571783817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-03T15:05:36.354Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/242607511-manager-treasury-risk-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager-Treasury-Risk-Analytics-ON-M5H-0B4/571783817/,published,2023-07-03T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, +

          +

          Great-to-haves

          +

          +
            +
          • Post-graduate education in Data Engineering, Cloud DevOps or Advanced Analytics
          • +
          • Machine learning and data science knowledge
          • +
          • Experience with Java in Cloud
          • +
          +

          +

          #DESjobs

          ",,https://careers.telus.com/job/Senior-Data-Engineer/571425217/,aitalent@vectorinstitute.ai,https://www.telus.com/en/about/careers,,,2023-08-03T19:02:09.363Z,False,0,5,49,https://talenthub.vectorinstitute.ai/jobs/243156861-senior-data-engineer-at-telus,,published,2023-07-04T19:02:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, +75b1e52c-74da-4c5b-9d77-dec68fcfff1f,239621576,Scotiabank,"First Nations, Metis, Inuit - Manager, Data and Analytics, CID&A (Remote or Hybrid)",on_site,Canada : Ontario : Ottawa || Canada : Ontario : Kingston || Canada : Ontario : Sudbury || Canada : Ontario : Thunder Bay || Canada : Ontario : Toronto,2023-06-25T15:52:02.255Z,"

          +

          +

          +

          +

          Requisition ID: 177225

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

          +

          +

          First Nations, Metis, Inuit - Manager, Data and Analytics, CID&A (Remote or Hybrid)

          +

          +

          This posting is intended for Indigenous Peoples as a Special Program under the Human Rights Act and the Employment Equity Act. Indigenous Peoples include status, non-status First Nation, Métis, and Inuit People under the Employment Equity Act within Canada. Scotiabank provides extended benefits to Indigenous employees aimed at supporting and promoting their culture.

          +

          +

          Who We Are:

          +

          +

          The Customer Insights, Data & Analytics team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data.

          +

          +

          Are you the right person for the role?

          +


          • You have strong business acumen, and you excel at developing and communicating analytics insights.
          • You are not afraid to challenge the status quo.
          • You have a deep curiosity about data, processes, and customer behaviour. You are always asking “why?”
          • You can pivot and adapt to change.
          • You spend your free time tinkering with new technologies or building apps on the side.
          • You want to find a solution to real life problems that will flip the multi-billion-dollar financial industry on its head.
          • You have a high aptitude for diving in, taking ownership and picking up new things.
          • You're eager to share your ideas in a team environment.
          • You have an open, honest, and transparent communication style, including the ability to distil technical details into human terms.

          +


          What will you do in this role?

          +


          • Champion change in the bank by promoting data literacy, data analytics, and data informed decision making.
          • Build, manage and grow relationships with product, design, and engineering teams by enabling data driven decision making.
          • Understand performance trends, identify opportunities for growth, and provide actionable insights.
          Work cross functionally to define data strategy and analytics roadmap for business initiatives, collaborating with various teams across the Bank.
          • Proactively identify, and drive analytics solutions to improve customer experience in collaboration with Data Scientists.
          • Deep dive into data to identify opportunities, influence product development, and/or overall functional and business strategies.
          • Collaborate with data scientists, data engineers, and operational teams to create, deliver and implement analytics solutions or data products.
          • Communicate and coordinate with teams to implement data-driven strategies while measuring progress
          • Conduct analysis and present performance results to business line stakeholders.
          • Develop and produce analyses, reports, and insights for partners that help drive tactical, operation, and/or strategic decision making in support of Digital Banking goals.

          +


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

          +

          +

          • You have 3-5+ years of experience with data management, data analysis, project management, data governance or advanced analytics.
          • You have a certification or university degree in business or in a relevant STEM discipline (Computer Sciences, Computer/Software Engineering, Mathematics, Statistics) or equivalent experience.
          • Strong project management and communication skills (both oral and written).
          • Proven data literacy and excellent storytelling — The ability to simplify and describe complex analytical concepts to stakeholders outside of analytics.
          • Ability to manage process and planning, facilitate teamwork, and coordinate execution of multiple deliverables.
          • You are knowledgeable about Big Data ecosystem tools (e.g., Hive, Pig, Sqoop, Spark, Google Cloud Platform) and are comfortable with creating large queries.
          • You are familiar with using visualization tools like Power BI, Tableau or QlikView.
          • You have excellent analytical skills and can interpret and consolidate large amounts of information in actionable recommendations. You use sound judgment in the creation of analysis, validation, interpretation, and presentation of findings.

          +

          +

          #riskjobsontario

          +

          +

          +

          Location(s): Canada : Ontario : Ottawa || Canada : Ontario : Kingston || Canada : Ontario : Sudbury || Canada : Ontario : Thunder Bay || Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Ottawa-First-Nations%2C-Metis%2C-Inuit-Manager%2C-Data-and-Analytics%2C-CID&A-%28Remote-or-Hybrid%29-ON/569727317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-26T20:12:24.982Z,False,0,3,22,https://talenthub.vectorinstitute.ai/jobs/239621576-first-nations-metis-inuit-manager-data-and-analytics-cid-a-remote-or-hybrid-at-scotiabank,https://jobs.scotiabank.com/job/Ottawa-First-Nations%2C-Metis%2C-Inuit-Manager%2C-Data-and-Analytics%2C-CID&A-%28Remote-or-Hybrid%29-ON/569727317/,published,2023-06-25T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, aca282f8-59e8-4f33-a0d0-c3687842c70d,237205995,TD Bank Group,Sr Business Info Mgmt Analyst,on_site,"Toronto, ON",2023-06-17T15:53:02.105Z,"

          Company Overview

          @@ -7442,150 +14223,308 @@ aca282f8-59e8-4f33-a0d0-c3687842c70d,237205995,TD Bank Group,Sr Business Info Mg

          Additional Information

          #LI-Hybrid

          -

          Flexible Work Options

          -
          N/A
          -

          -

          Hours

          -
          37.5
          -

          -

          Inclusiveness

          -

          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

          -

          -
          ",,https://jobs.td.com/en-CA/jobs/18647558/sr-business-info-mgmt-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-07-19T21:33:23.418Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/237205995-sr-business-info-mgmt-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18647558/sr-business-info-mgmt-analyst-toronto-ca/,published,2023-06-17T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -eaa31d9a-3621-4637-a572-55aa961978cd,237205993,TD Bank Group,Sr Business Insights Analyst,on_site,"Toronto, ON",2023-06-17T15:53:01.973Z,"
          -

          Company Overview

          -
          -

          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

          -

          Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

          -
          -

          -

          Department Overview

          -
          -

          What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

          -

          We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

          -
          -

          -

          Job Description

          -
          -

          -

          About this Role

          -

          As an expert in data and analytics, you will provide in depth expertise, analytical interpretation, key insights and action items to your multi-functional business partners across the organization. Those insights will be brought to bear to enable informed and enabled business decisions enterprise wide or help to solve the increasingly complex business problems they face.

          -

          In this role, TD will look to as a thought leadership as well as a leader in your space, coaching, mentoring, empowering and educating your peers to collaborate and bring TD into the future of banking.

          -

          -

          As a Senior Business Insights Analyst, you will:

          -
            -
          • Apply understanding of respective business strategies to produce relevant and substantial data analysis to support business goals and objectives
          • -
          • Develop analysis to illustrate business trends and identify areas of business opportunities
          • -
          • Produce insights and recommend business actions to align with strategy and/or solve business problems
          • -
          • Provide seasoned specialized knowledge, advice and/or mentorship to various business and working partners
          • -
          • Execute on data requests accurately and within a timely manner
          • -
          • Represent functional area as an analytics & insights professional and key resource; build positive and productive working partnerships
          • -
          • Act as a bridge to translate business requirements to analytics and reporting needs for a given domain
          • -
          • Provides day-to-day support and delivery of analytics
          • -
          • Work independently as the senior analyst/subject matter expert and may coach and educate others
          • -
          • Considered an authority within a given area
          • -
          • Oversee and/or independently perform tasks from end to end
          • -
          -
          -

          -

          Requirements

          -
          -What can you bring to TD?

          -

          Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

          -
            -
          • Undergraduate degree or technical certificate
          • -
          • Five (5) or more years relevant experience
          • -
          • Nice to have : experience with marketing campaign analytics, experience leading/ working in project environment
          • -
          -
          -

          -

          Additional Information

          -
          -#LI-Hybrid #LI-Post
          -

          Hours

          37.5

          Inclusiveness

          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

          -
          ",,https://jobs.td.com/en-CA/jobs/18391087/sr-business-insights-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-07-19T21:23:22.271Z,False,0,2,13,https://talenthub.vectorinstitute.ai/jobs/237205993-sr-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18391087/sr-business-insights-analyst-toronto-ca/,published,2023-06-17T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -12241c64-1ad8-4be5-af83-dae8afed72c0,239887329,Scotiabank,Data Modeler,on_site,Canada : Ontario : Toronto,2023-06-26T15:52:02.709Z,"

          -

          +
          ",,https://jobs.td.com/en-CA/jobs/18647558/sr-business-info-mgmt-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-07-19T21:33:23.418Z,False,0,1,17,https://talenthub.vectorinstitute.ai/jobs/237205995-sr-business-info-mgmt-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18647558/sr-business-info-mgmt-analyst-toronto-ca/,published,2023-06-17T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +5254ad1b-3762-4224-bf53-767237a1b599,240674822,Borealis AI,Senior Machine Learning Research Team Lead,on_site,"Ontario, Canada",2023-06-29T01:58:05.651Z,"
          +

          What\'s the opportunity?

          +

          Borealis AI is looking for a Senior Research Team Lead. The role includes managing a team of research team leads, researchers, and research engineers with the goal of delivering AI-based products for the financial services industry. In addition, you will lead initiatives that improve the effectiveness of the research organization.

          +

          Your responsibilities include:

          +
            +
          • To lead a team of machine learning researchers delivering cutting edge AI technology to support AI-based products.
          • +
          • To partner with Borealis AI’s product and engineering teams to ensure the seamless delivery of these products.
          • +
          • To manage other research team leads and provide guidance and support.
          • +
          • To lead initiatives that improve the overall performance of the Borealis AI Research Team.
          • +
          • To help recruit, mentor and retain a high-performing research team.
          • +
          +

          You’re our ideal candidate if you have:

          +
            +
          • A Ph.D. degree in Computer Science or a related technical field;
          • +
          • 5 years of experience leading machine learning research teams in a product-centric environment or equivalent experience;
          • +
          • A track record of successful people management including mentoring junior researchers and engineers, experienced high-performance researchers, and research managers;
          • +
          • Experience delivering high-impact machine learning products
          • +
          • Involvement across the research and development lifecycle, from prototyping to production, engaging with stakeholders to develop solutions that meet business needs;
          • +
          • Detailed knowledge of cutting edge machine learning techniques;
          • +
          • The ability to formulate and drive a research project independently;
          • +
          • Exceptional communication skills;
          • +
          • A history of high quality academic publications (e.g., NeurIPS, CVPR, AISTATS, ICLR, ICML etc.);
          • +
          +

          What\'s in it for you?

          +
            +
          • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
          • +
          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
          • +
          • Ability to make a difference and lasting impact from a local-to-global scale.
          • +
          +

          About Borealis AI

          +

          Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

          +

          Inclusion and Equal Opportunity Employment

          +

          RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

          +
          ",,https://www.borealisai.com/careers/?gh_jid=6616707002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-07-29T18:14:29.837Z,False,0,2,43,https://talenthub.vectorinstitute.ai/jobs/240674822-senior-machine-learning-research-team-lead-at-borealis-ai,,published,2023-06-29T01:58:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,PhD,New Posting, +435f027b-d794-4d2a-b04e-4fa91103a440,243217438,OMERS,BI Specialist (6-Month Contract),on_site,"Ontario, Canada",2023-07-05T02:18:03.228Z,"
          We are looking for a BI Specialist with Azure Data Engineering experience to join our team. As a key member of the Enterprise Data and Advanced Analytics team, this role is instrumental in enhancing data & analytics capabilities by championing industry best practices and delivering high quality reports and training to enhance business decision making. They help translate complex solutions to digestible business-centric outcomes and will do so by building interactive data visualizations using Power BI and sophisticated data models.

          They will work with business-unit leaders to identify and prioritize problems that analytics is suited to solve and help identify the data (internal or external) needed to produce the most useful insights. In addition to being responsible for end-to-end solutions that business users can execute on, they also work towards driving adoption among business users. The individual will support and collaborate with data engineers, data scientists and business users and engage in technical support, research and knowledge sharing through the implementation lifecycle of projects and solutions. The ideal candidate is one that strives to evolve through their career and transition into a data scientist role in the near future by taking advantage of the tremendous learning and collaboration opportunity this role provides.

          +

          +

          Key Responsibilities:

          +
            +
          • Designing and building interactive insightful data products using Power BI, ML and Azure
          • +
          • Developing and monitoring Azure data pipelines, Power BI Premium Dataflows to gather, transform and democratize structured and unstructured data assets
          • +
          • Deploying ETL pipelines to achieve a high level of reliability, scalability, and security.
          • +
          • Designing and developing ETL pipelines to achieve a high level of reliability, scalability, and security. Sourcing, transforming, and delivering structured and unstructured assets for use in Azure Synapse Analytics, Azure Data Factory, SQL Server, Azure Data Lake
          • +
          • The candidate should have a strong command of Pyspark, a Python library for distributed data processing and analysis
          • +
          • Knowledge of Postman, the candidate should be able to effectively design, test, and debug APIs, ensuring their functionality and reliability within our software ecosystem
          • +
          • The candidate should have experience in creating dataflows using Azure Data Factory and familiarity with the Medallion Architecture is highly desirable
          • +
          • The candidate should be well-versed in the concepts and techniques of the Kimball Methodology, which emphasizes building data warehouses that are optimized for business intelligence and reporting. Proficiency in dimensional modeling, including the creation of star schemas and snowflake schemas, is essential
          • +
          • The ideal candidate will have the ability to document technical specifications, workflows, and guidelines, ensuring clear and concise communication across the team and stakeholders
          • +
          • The ideal candidate will possess strong communication and leadership skills to guide and support the team in adopting and implementing industry-leading data engineering practices
          • +
          • Identifying, defining, and implementing opportunities for enhancing existing processes
          • +
          • Defining and implementing technical test plans and perform unit and integration testing
          • +
          • Operating in an Agile development environment
          • +
          • Managing change and communicating impacts to stakeholders and fellow team members
          • +
          • Leading multiple projects simultaneously and ensuring on-time delivery
          • +
          +

          +

          Qualifications:

          +
            +
          • +Experience. 5+ years solving sophisticated technical data projects using the Microsoft Azure data stack is required
          • +
          • +Industry Knowledge. The ability to quickly propose Azure Data Platform solutions by recalling the latest standard processes learned from MVP & Product Team articles, MSFT documentation, whitepapers, and community publications is required
          • +
          • +Relationship Building. A proven track record of building deep technical relationships. Experience in setting expectations across various partners.
          • +
          • +Problem-Solving. Must be able to trace data lineage / workflows and resolve technical issues with minimal supervision. Demonstrated proficiency in understanding and implementing business workflows is a plus.
          • +
          • +Teamwork. Motivated and keen to work in a collaborative environment with a focus on team success over and above individual success.
          • +
          • Breadth of technical experience and knowledge across the Azure Data Platform, with depth Domain Expertise in two or more of the following Data Platform resources is required:
              +
            • Azure Databricks using PySpark
            • +
            • Azure Synapse & Azure Data Factory
            • +
            • SQL Server Data Tools
            • +
            • Azure Machine Learning
            • +
            +
          • +
          • Excellent written, verbal, and presentation skills targeted at all levels of the organization
          • +
          +

          +

          +

          +

          +

          Our story:

          +

          Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

          +

          +

          OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

          +
          ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/BI-Specialist--6-Month-Contract-_JR-4967?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-07-28T02:23:00.000Z,False,0,5,58,https://talenthub.vectorinstitute.ai/jobs/243217438-bi-specialist-6-month-contract-at-omers,,published,2023-07-05T02:18:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, +4038d570-7697-4aa2-bbf0-98245c9fcc1e,245220764,Scotiabank,"Data Engineer, Data Management, AML/ATF Models and Analytics",on_site,Canada : Ontario : Toronto,2023-07-10T15:52:04.199Z,"

          -

          Requisition ID: 178360

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

          -

          Data Modeler

          -

          The Wealth Data team within the Global Wealth Engineering (GWE) team is key area in meeting the operational and analytical data needs of the various stake holders within Wealth Management.
          The Data Modeler will be joining a team that is key in providing strategic data solutions to meet our business objectives. The candidate will play a key role in designing and implementing data modeling solutions using relational, dimensional and NoSQL databases. Working closely with data architects, lead business systems analysts and data engineers they will be responsible for creating and maintaining data models for our databases that support multiple geographies

          +

          Requisition ID: 180465

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

          -

          Is this role right for you?

          -
          • Responsible for hands on creation of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL and NoSQL)
          • Work with the Data team to implement data strategies, build data flows and develop conceptual data models.
          • Sole owner of the Data models for all data domains in Wealth management area and provide leadership and expertise in data modeling principles/methods including conceptual, logical & physical Data Models
          • Understand and translate business needs into data models supporting long-term solutions.
          • Communicate with Data Analysts, interfacing application teams & Business stakeholders and understand data requirements for consuming applications.
          • Optimize and update logical and physical data models to support new and existing projects.
          • Maintain conceptual, logical and physical data models along with corresponding metadata.
          • Develop best practices for standard naming conventions and coding practices to ensure consistency of data models.
          • Recommend opportunities for reuse of data models in new environments.
          • Analyze data-related system integration challenges and propose appropriate solutions.
          • +

            Purpose

            +

            We are looking for a Python Developer to join our team and help us develop and maintain various software products. As a data engineer/developer in Data Management, AML/ATF Models and Analytics team, you will contribute to building a better way to approach banking data for AML/ATF purposes by leveraging your engineering, analytical and communication skills to work with different business partners across the whole bank. This role will also involve the development of a web application and data design in a Python framework.

            +

            +

            Accountabilities

            +
            • Deep dive into banking data, perform data profiling and analysis to determine better dimensional/hierarchical data for AML/ATF model and analytics.
            • Design highly efficient backend data mart to support frontend application
            • Develop python-based web application to support AML requirements
            • Work with technology partners such as the bank private cloud teams to build up and maintain cloud infrastructure
            • Champion a customer focused culture to deepen client relationships by leveraging broader Bank systems and product knowledge
            • Actively pursue effective and efficient operations of the respective fields, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
            -

            -

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

            -
            • 10+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols)
            • Experience with data hub, data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required
            • Expert knowledge of relational databases and data architecture computer systems, including SQL
            • Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required
            • Ability to effectively convey ideas to business and technical teams
            • Ideally 5+ years’ experience in technical system analysis, data mapping and translating/mapping relational data models into XML and Schemas
            • Knowledge of database administration including database security, backup and recovery, and performance monitoring standards
            • Knowledge of programming languages such as Java, Python, Scala etc
            • Knowledge of Google Cloud Platform (GCP) and toolset such Cloud Composer, Dataproc, CloudSpanner etc.
            • Knowledge of data streaming and technologies such as Kafka, Spark-streaming etc.
            • Should be a team player and work collaboratively
            • Excellent verbal, written and presentation skills
            • Previous experience in Wealth management and/or banking systems highly desirable
            • Nice to have experience in implementation of operational data store and involved in design of data models across multiple domains such as party, financial, non financial, securities, user domain etc
            • Nice to have understanding of Wealth business line and the various data domains required for building an end to end solution
            • Nice to have hands on experience in solution architecture and data architecture experience
            • +

              Education/Requirements

              +
              • Strong knowledge of Python and SQL
              • Experienced in using Python web application frameworks, like Dash, Flask, etc.
              • Familiarity with development within Linux environment
              • Strong knowledge of data lifecycle for customer, account, and transactional data
              • Strong and effective communication skills for managing expectations with diverse groups for stakeholders
              • Familiarity with JavaScript, CSS, and HTML preferred
              • Bachelor's degree in computer science, engineering, or related fields
              • AML knowledge or banking knowledge is an asset
              -

              -

              What's in it for you?

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

                Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Toronto-Data-Engineer%2C-Data-Management%2C-AMLATF-Models-and-Analytics-ON-M5H1B6/571957917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-16T17:18:36.732Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/245220764-data-engineer-data-management-aml-atf-models-and-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Engineer%2C-Data-Management%2C-AMLATF-Models-and-Analytics-ON-M5H1B6/571957917/,published,2023-07-10T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +3e142cc7-5e36-4191-874e-c129197b36c4,243954902,BMO Financial Group,Business Analyst (1 year fixed term),on_site,"Ontario, Canada",2023-07-07T01:42:01.565Z,"
          +

          Application Deadline:

          10/30/2023

          +

          +

          Address:

          100 King Street West

          +

          +

          Job Family Group:

          Data Analytics & Reporting

          +

          +

          +

          +

          Supports the execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies. Supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance and minimizes risk.

          +
            +
          • Acts as a trusted advisor to assigned business/group.
          • +
          • Influences and negotiates to achieve business objectives.
          • +
          • Recommends and implements solutions based on analysis of issues and implications for the business.
          • +
          • Assists in the development of strategic plans.
          • +
          • Identifies emerging issues and trends to inform decision-making.
          • +
          • Researches existing or emerging requirements & related best practices to assist and develops recommendations for changes/enhancements. +
          • +
          • Helps determine business priorities and best sequence for execution of business/group strategy.
          • +
          • Conducts independent analysis and assessment to resolve strategic issues.
          • +
          • Leads the development and maintenance of the risk reporting framework.
          • +
          • Represents the risk reporting function during internal/external regulatory audits and/or examinations
          • +
          • Ensures alignment between stakeholders.
          • +
          • Coordinates the management of databases; ensures alignment and integration of data in adherence with data governance standards.
          • +
          • Builds change management plans of varying scope and type; leads or participates in a variety of change management activities including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
          • +
          • May provide specialized support for other internal and external regulatory requirements.
          • +
          • Provides input into the planning and implementation of ongoing operational programs in support risk reporting management framework.
          • +
          • Leads/participates in the design, implementation and management of core business/group processes.
          • +
          • Designs, develops, and implements reporting solutions to meet management and regulatory reporting requirements.
          • +
          • Provides advice and guidance to assigned business/group on implementation of analytical and reporting solutions.
          • +
          • Executes work to deliver timely, accurate, and efficient service for scheduled reporting production processes.
          • +
          • Supports the maintenance, monitoring, and measurement of key risk indicators to internal & external stakeholders.
          • +
          • Analyses data and information to provide risk-related insights and recommendations for the assigned portfolio e.g. capital at risk modeling, risk/return assessments, etc.
          • +
          • Supports the interpretation of internal and external policies and regulatory requirements relevant to the analytics and reporting mandate e.g. regulatory reporting.
          • +
          • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
          • +
          • Ensures strong governance and effective controls across risk reporting activities and information in accordance with enterprise standards.
          • +
          • Analyzes data and highlights significant information including variances, trends, opportunities and exposures; escalates as required.
          • +
          • Provides information and supports the process for internal and external audits.
          • +
          • Gathers and formats data into regular and ad-hoc reports, and dashboards.
          • +
          • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
          • +
          • Builds effective relationships with internal/external stakeholders.
          • +
          • Supports the maintenance of operational procedures and processes related to analytical and reporting processes.
          • +
          • Supports the development of tools and delivery of training focused on awareness and understanding of key data elements used in risk reporting.
          • +
          • Participates in the design, implementation and management of core business processes to ensure the accuracy of risk data used in reporting.
          • +
          • Organizes work information to ensure accuracy and completeness.
          • +
          • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
          • +
          • Provides specialized consulting, analytical and technical support.
          • +
          • Exercises judgment to identify, diagnose, and solve problems within given rules.
          • +
          • Works independently and regularly handles non-routine situations.
          • +
          • Broader work or accountabilities may be assigned as needed.

            Qualifications:

            +
          • +
          • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
          • +
          • In-depth knowledge of risk management metrics, KPIs and KRIs.
          • +
          • In-depth knowledge of industry trends and regulatory requirements for risk reporting.
          • +
          • In-depth product knowledge for the designated business/portfolio.
          • +
          • In-depth knowledge of risk management theory, processes and portfolio management reporting techniques.
          • +
          • In-depth knowledge of reporting & analytics concepts and applications.
          • +
          • In-depth knowledge of risk systems technology.
          • +
          • Deep knowledge and technical proficiency gained through extensive education and business experience.
          • +
          • Verbal & written communication skills - In-depth.
          • +
          • Collaboration & team skills - In-depth.
          • +
          • Analytical and problem solving skills - In-depth.
          • +
          • Influence skills - In-depth.
          • +
          • Data driven decision making - In-depth.
          +

          +

          +

          We’re here to help

          +

          +

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

          +

          +

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

          +

          +

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

          +

          +

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

          +

          +

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

          +
          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Business-Analyst--1-year-fixed-term-_R230011016?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-08-16T16:57:15.010Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/243954902-business-analyst-1-year-fixed-term-at-bmo-financial-group,,published,2023-07-07T01:42:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +47e55a89-b1fb-49ff-855c-3b1e24be64e6,246385539,RBC,Quantitative Research Engineer,on_site,"Toronto, ON, Canada",2023-07-14T01:51:02.396Z,"
          +

          Come Work with Us!

          At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

          Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

          +

          Job Title

          Quantitative Research Engineer

          +

          +

          Job Description

          +

          We are seeking a highly skilled and motivated Quantitative Research Engineer to join the Quantitative Investments team at RBC Global Asset Management. As a Quantitative Research Engineer, you will collect, gather, clean, and shepherd data through alpha research, portfolio optimization, backtesting, and visualization. Your success and that of the team will be driven by your expertise in quantitative methods, financial data analysis, data validation, data governance, and data visualization combined with your passion for systematic quantitative investing and deep desire to explore and understand both established and novel financial datasets and internally derived data. You will report to the Head of Research, Quantitative Investments.

          +

          The Quantitative Investments team employs a systematic quantitative approach to the management of equity strategies implemented via mutual funds, hedge funds, segregated accounts and ETFs. The team takes a multi-factor approach to building and managing investment solutions. The models are data-driven and grounded in sound fundamental and economic rationale. It is a highly collaborative environment in which the research, portfolio management and systems development teams constantly interact. The team manages CAD$20bn of client investments.

          +

          +

          What will you do?

          +
            +
          • Identify, acquire, and maintain diverse datasets to support alpha research and portfolio management of systematic equity strategies, including pricing data, fundamental accounting data, and alternative data

          • +
          • Verify and, where possible, improve the accuracy and completeness of historical datasets required for backtesting and other research purposes. Propose and document key assumptions required when building historical datasets

          • +
          • Ensure data is fit for purpose, clean, complete, and implement data validation processes to identify, flag, and rectify discrepancies or anomalies in data on an ongoing basis

          • +
          • Create data documentation and metadata to ensure data transparency and work with quantitative developers to ensure data is available to users via easy-to-use tools and APIs

          • +
          • Contribute to research engineering efforts to develop, maintain and enhance the team’s suite of visualization dashboards

          • +
          • Perform complex data analysis using advanced data manipulation techniques in Tableau, SQL, Python, Matlab, and related tools

          • +
          • Embody the following cultural edges: curious, open-minded and adaptable; eager to learn and motivated to continually improve; driven by the sense of urgency required to thrive in an era of rapid disruption; highly collaborative; and committed to a rigorous and scientific approach

          • +
          +

          +

          What do you need to succeed?

          +

          Must Have

          +
            +
          • A passion for data and data-driven investment analysis

          • +
          • Bachelor’s degree in quantitative finance, statistics/machine learning, engineering, data science, engineering, or a related field

          • +
          • 3+ years of experience in the financial industry working with financial data; experience with equity data is strongly preferred; buy-side investing experience is a plus

          • +
          • Strong understanding of key mathematical and statistical techniques that are used in quantitative investments including portfolio optimization, risk management and performance analysis

          • +
          • Expertise in data governance, data validation, and data management processes

          • +
          • Strong programming skills in SQL, Python, and Matlab with experience in data manipulation and analysis. Proficiency in Tableau or other data visualization tools (Qlik, PowerBI, etc.), with a strong understanding of best practices in data visualization and dashboard design

          • +
          • Strong collaboration skills and a pro-active approach to communication. Ability to deliver accurate results that have impact on tight deadlines

          • +
          +

          +

          Nice to Have

          +
            +
          • Master’s degree in quantitative finance, statistics/machine learning, engineering, data science, engineering, or a related field

          • +
          • Completion or enrollment in CFA

          • +
          • Experience working with modern cloud-based data ecosystem

          • +
          +

          +

          What’s in it for you?

          +

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

          +
            +
          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

          • +
          • Leaders who support your development through coaching and managing opportunities

          • +
          • Ability to make a difference and lasting impact

          • +
          • Work in a dynamic, collaborative, progressive, and high-performing team

          • +
          • Flexible work/life balance options

          • +
          • Opportunities to do challenging work

          • +
          • Opportunities to take on progressively greater accountabilities

          • +
          • Access to a variety of job opportunities across business

          • +
          +

          +

          RBC is committed to supporting flexible work arrangements when and where available. Details to be discussed with Hiring Manager.

          +

          +

          +

          Job Summary

          +

          Address:

          TORONTO, Ontario, Canada

          City:

          CAN-ON-TORONTO

          Country:

          Canada

          Work hours/week:

          37.5

          Employment Type:

          Full time

          Platform:

          Wealth Management

          Job Type:

          Regular

          Pay Type:

          Salaried

          Posted Date:

          2023-07-10

          Application Deadline:

          2023-08-01
          +

          Inclusion and Equal Opportunity Employment

          +

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

          +
          +

          Join our Talent Community

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

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

          +
          ",,https://jobs.rbc.com/ca/en/job/R-0000057606/Quantitative-Research-Engineer,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-08-16T22:52:22.302Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/246385539-quantitative-research-engineer-at-rbc,,published,2023-07-14T01:51:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +1dc5f88e-34fd-4a0e-a09b-b40a27c2949d,247732324,Scotiabank,"Manager, Exposure and Capital Analytics",on_site,Canada : Ontario : Toronto,2023-07-17T15:52:03.657Z,"

          -

          Working location condition: Hybrid

          -

          -

          #LI-Hybrid

          -

          Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Data-Modeler/570655817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-26T20:28:22.691Z,False,0,4,32,https://talenthub.vectorinstitute.ai/jobs/239887329-data-modeler-at-scotiabank,https://jobs.scotiabank.com/job/Data-Modeler/570655817/,published,2023-06-26T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, -e11400b1-1a0f-424e-bac4-2d0a8a17ffb6,238913585,Scotiabank,"Director, Model Owner - Retail & Small Business Forecasting",on_site,Canada : Ontario : Toronto,2023-06-23T15:52:04.211Z,"

          +

          Requisition ID: 181423

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

          +

          As a Manager, Exposure and Capital Analytics, you will maintain and improve the accuracy of RWA (risk weighted assets) measurement, a key mandate of GRM (Global Risk Management). One of the manager’s main responsibilities is to assess current measurement methodologies, calculations, data, and processes for regulatory capital benchmarking to industry best practices and lead/support enhancement initiatives. The manager will also work with other team members to manage the production of bank’s internal capital results and assist model/process development/enhancement and parameter calibration.

          +

          What you'll do in this role?

          +
          • Review and benchmark regulatory capital methodology/process/data to industry best practices for business banking, retail and capital markets products.
          • Work with business lines, finance, Basel office, credit policy and other business partners to identify capital enhancement opportunities and assess feasibility and impact.
          • Work on Business Requirement Documents (BRD) for the RWA optimization opportunities for implementation; prepare and present educational slides to different groups on the Basel OSFI standards/guidelines
          • Work with IT, data governance, finance to develop a plan for capital enhancement; Coordinate the plan execution and manage communication and implementation.
          • Keep abreast with specialized knowledge of Basel II / III, OSFI Capital Adequacy Rules (CAR) rules, risk management and financial products under advanced and standardized approaches.
          • Develop business intelligence tools and analytics (e.g. Power BI) on capital regulation changes or business impact (Basel IV) to senior management and business lines.
          • Work together with other team member to manage the production of bank’s internal capital results and assist model/process development/enhancement and parameter calibration.
          • Lead or assist bank’s profitability modelling as the SME for regulatory and economic capital
          • Take a central role in the development of bank’s capital analytical and reporting tool across various risk types.
          • Maintain/Develop bank’s internal capital modelling methodology and production for credit risk (business banking, CCR and domestic retail)
          • +

          -

          Requisition ID: 178348

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

          +

          What we're looking for?

          +
          • 2+ years’ work experience related to financial risk analytics, wholesale banking, retail, capital markets and/or quantitative finance is required. Strong candidate with no prior work experience will also be considered.
          • Bachelor degree in a quantitative subject such as Math, Science, Engineering, Finance or Economics is required. Advanced degree is strongly preferred.
          • Superior critical thinking ability and the ability to work under tight timelines.
          • Strong verbal and written communication skills and proven problem solving skills required.
          • Knowledge in regulatory capital, credit risk metrics, and quantitative finance is highly desired.
          • Knowledge and experience in data analytics, machine learning, and Artificial intelligence is desired. Strong programming skills in SQL, Python or R are desired.
          • Completion or progression in the CFA and FRM programs are assets.
          • Demonstrated accountability.
          • +

          -

          Overview:

          -


          The world is changing faster than ever and so are we!

          +

          What’s in it for you?

          +
          • The opportunity to join a forward-thinking company surrounded by a collaborative team of innovative thinkers.
          • A rewarding career path with diverse opportunities for professional development.
          • Internal development to support your growth and enhance your skills.
          • A competitive compensation and benefits package.
          • An organization committed to making a difference in our communities– for you and our customers.
          • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
          • +

          -

          “Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

          +

          Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Exposure-and-Capital-Analytics-ON-M5H1H1/572215917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-16T23:23:32.170Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/247732324-manager-exposure-and-capital-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Exposure-and-Capital-Analytics-ON-M5H1H1/572215917/,published,2023-07-17T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +12241c64-1ad8-4be5-af83-dae8afed72c0,239887329,Scotiabank,Data Modeler,on_site,Canada : Ontario : Toronto,2023-06-26T15:52:02.709Z,"

          -

          Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

          -

          What Are We Looking For?

          -


          We want talented pragmatic analytically oriented leaders who are equally at home amongst neural networks as they are translating complex issues into concise communications and directions. We want advanced analysts / data scientists who come armed with not only strong statistical, programming and data engineering skills but also a bottomless sense of curiosity about everything (great models and analytics are about so much more than just the numbers!), a passion for getting things done right the first time and a deep sense of personal and professional accountability.

          -

          To be a Director in Retail and Small Business Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you have to want to be an owner who embraces both the accountability (i.e., “the buck stops here”) and responsibilities that come with ownership. Working with internal customers (stakeholders) across the bank to understand and translate their needs (for accurate optimized forecasts) and questions (qualitative and analytic alike) into outcomes and answers, exploring both novel and legacy data sets / methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that you “own” will all be equally important. The types of Directors we are looking for are player-coaches (an interest in teaching & mentoring is essential!) who relish the idea of running their own “model factory” and everything that comes with it.

          -


          Make an Impact

          -

          As a director, you will report directly to the VP of Retail and Small Business Models and Analytics and be a critical member of the global leadership team. You will be accountable for – from conception through execution and governance – the capital estimation, optimization and forecasting models covering The Bank’s retail and small business product lines. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Model Operations, Capital Management, Provisioning, Product, Risk Strategy & Risk Management, Model Validation and Governance, Technology & Data, Finance, Legal, Compliance and Audit.

          +

          Requisition ID: 178360

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

          -

          Your team will have access to both traditional SAS tools / SQL databases / Hadoop clusters and a modern machine learning stack that includes both public and on-premise private cloud computing, open source Jupyter development environments, and data visualization business intelligence tools.

          +

          Data Modeler

          -

          Under your guidance, your team of risk modeling and business analysis experts will use these tools to develop and run advanced risk prediction and forecasting models that will be used to help manage tens of $billions of capital and exposures, every day and therefore need to be not only accurate and precise, but highly stable, explainable, compliant, secure and useful. You will be responsible for setting priorities, leading by example, getting deep-in-the-weeds, coaching, mentoring and ultimately, delivering results.

          +

          The Wealth Data team within the Global Wealth Engineering (GWE) team is key area in meeting the operational and analytical data needs of the various stake holders within Wealth Management.
          The Data Modeler will be joining a team that is key in providing strategic data solutions to meet our business objectives. The candidate will play a key role in designing and implementing data modeling solutions using relational, dimensional and NoSQL databases. Working closely with data architects, lead business systems analysts and data engineers they will be responsible for creating and maintaining data models for our databases that support multiple geographies

          -

          Is This Role Right for You?

          -
          • You believe, first and foremost, in always doing the right thing and doing things the right way
          • You are both deeply curious and highly pragmatic
          • You know when to be doer, when to be a teacher and when to be a leader
          • You are comfortable setting ambitious but realistic goals and are committed to achieving them
          • You can read complex and lengthy regulatory requirements and identify opportunities for optimization while always remaining committed to compliance excellence
          • You understand what PDs, LGDs and EADS really are, from the ground up, and can model them precisely for any product (while knowing how to statistically account for sources of uncertainty)
          • You have a genuine love, passion and talent for programming, data, and predictive modeling
          • You are comfortable initiating conversations and collaborating with diverse personalities both internally (colleagues across the business) and externally (vendors)
          • You are committed to quality in everything you do – statistically, process and governance wise
          • You can evaluate situations, derive insights, synthesize results and communicate high-quality recommendations effectively, both verbally, and in writing
          • You are professional, motivated AND FUN. We mean it.
          • +

            Is this role right for you?

            +
            • Responsible for hands on creation of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL and NoSQL)
            • Work with the Data team to implement data strategies, build data flows and develop conceptual data models.
            • Sole owner of the Data models for all data domains in Wealth management area and provide leadership and expertise in data modeling principles/methods including conceptual, logical & physical Data Models
            • Understand and translate business needs into data models supporting long-term solutions.
            • Communicate with Data Analysts, interfacing application teams & Business stakeholders and understand data requirements for consuming applications.
            • Optimize and update logical and physical data models to support new and existing projects.
            • Maintain conceptual, logical and physical data models along with corresponding metadata.
            • Develop best practices for standard naming conventions and coding practices to ensure consistency of data models.
            • Recommend opportunities for reuse of data models in new environments.
            • Analyze data-related system integration challenges and propose appropriate solutions.
            +

            -

            What Do You Need to Succeed?

            -


            General

            -
            • Bachelor’s Degree in Mathematics, Physics, Engineering, or an equivalent technical field
            • A demonstrated history of analytic problem solving and sound judgment
            • Experience as both a manager and leader with a track record of accomplishments overseeing cross-functional teams
            • Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into actionable analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit regulatory-quality documentation and be accepted as a trusted advisor by senior executives
            • Excellent project, process & time management
            • Able to work remotely and on-site on multiple projects simultaneously and meet deadlines
            • -
            -

            ​​​​​​​

            -

            Technical

            -
            • Strong fundamental understanding of statistics
            • Highly proficient in 2+ analytical programming languages (SAS, Python, R, etc.), SQL (Teradata, Oracle, DB2, SQL Server), and multiple environments (Unix & Windows)
            • 2+ years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
            • +

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

              +
              • 10+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols)
              • Experience with data hub, data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required
              • Expert knowledge of relational databases and data architecture computer systems, including SQL
              • Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required
              • Ability to effectively convey ideas to business and technical teams
              • Ideally 5+ years’ experience in technical system analysis, data mapping and translating/mapping relational data models into XML and Schemas
              • Knowledge of database administration including database security, backup and recovery, and performance monitoring standards
              • Knowledge of programming languages such as Java, Python, Scala etc
              • Knowledge of Google Cloud Platform (GCP) and toolset such Cloud Composer, Dataproc, CloudSpanner etc.
              • Knowledge of data streaming and technologies such as Kafka, Spark-streaming etc.
              • Should be a team player and work collaboratively
              • Excellent verbal, written and presentation skills
              • Previous experience in Wealth management and/or banking systems highly desirable
              • Nice to have experience in implementation of operational data store and involved in design of data models across multiple domains such as party, financial, non financial, securities, user domain etc
              • Nice to have understanding of Wealth business line and the various data domains required for building an end to end solution
              • Nice to have hands on experience in solution architecture and data architecture experience
              +

              -

              Nice to Have’s

              -
              • Proficient reading, writing and speaking Spanish
              • MBA or other business / management degree
              • FRM, CFA credentials
              • Extensive knowledge in forecasting / risk models / scorecards, best practices and governance
              • Experience training and deploying machine learning models using common Python open source frameworks (i.e., scikit-learn) and/or Python DevOps
              • Experience with public cloud infrastructure (GCP, Azure, AWS)
              • Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI, Project) power user
              • +

                What's in it for you?

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

                -

                What’s In It for You?

                -
                • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
                • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
                • Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
                • A competitive rewards package that includes a base salary, a performance bonus, company matching programs on pension and profit sharing, paid vacation, personal & sick days, medical, vision and dental benefits that start from day one and much more!
                • -

                -

                Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Director%2C-Model-Owner-Retail-&-Small-Business-Forecasting/570497817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-26T20:11:04.812Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/238913585-director-model-owner-retail-small-business-forecasting-at-scotiabank,https://jobs.scotiabank.com/job/Director%2C-Model-Owner-Retail-&-Small-Business-Forecasting/570497817/,published,2023-06-23T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, +

          Working location condition: Hybrid

          +

          +

          #LI-Hybrid

          +

          +

          Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Data-Modeler/570655817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-26T20:28:22.691Z,False,0,6,70,https://talenthub.vectorinstitute.ai/jobs/239887329-data-modeler-at-scotiabank,https://jobs.scotiabank.com/job/Data-Modeler/570655817/,published,2023-06-26T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, 3a88e60b-a33e-4a58-94b4-764ab25b9fdd,240674666,Loblaw Companies Ltd,Data Engineer,on_site,"Ontario, Canada",2023-06-29T01:44:03.785Z,"

          Referred applicants should not apply directly to this role.

          All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

          @@ -7668,108 +14607,312 @@ Comfortable with tackling very loosely defined problems and thrive when working

          Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

          -
          ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Data-Engineer_R2000234469?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-07-29T18:13:34.181Z,False,0,1,14,https://talenthub.vectorinstitute.ai/jobs/240674666-data-engineer-at-loblaw-companies-ltd,,published,2023-06-29T01:44:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Associate,Bachelors Degree,New Posting, -3a94629c-9347-4ca1-998b-936ef153a632,238529772,Scotiabank,"Senior Manager, Pricing Analytics - CID&A",on_site,Canada : Ontario : Toronto,2023-06-22T15:52:02.992Z,"

          -

          -

          -

          -

          Requisition ID: 180230

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

          +
          ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Data-Engineer_R2000234469?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-07-29T18:13:34.181Z,False,0,10,55,https://talenthub.vectorinstitute.ai/jobs/240674666-data-engineer-at-loblaw-companies-ltd,,published,2023-06-29T01:44:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Associate,Bachelors Degree,New Posting, +1d1fff44-8fa1-4317-8804-b6294ee83e62,243216962,Borealis AI,DevOps Engineer,on_site,"Ontario, Canada",2023-07-05T01:58:04.042Z,"
          +

          What\'s the opportunity?

          +

          We’re looking for an experienced DevOps Engineer who will bring focus and subject-matter expertise around designing, implementing, and supporting machine learning infrastructure and automation tools in production. This is a unique opportunity to grow in the world of machine learning infrastructure and work with a team of passionate individuals committed to the mission of bringing ML to enterprise.

          +

          At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com.

          +

          Your responsibilities include:

          +
            +
          • Providing production support and maintenance for ML applications;
          • +
          • Designing, building, and optimizing machine learning deployment tools and automation systems that operate the business’s data and ML applications;
          • +
          • Collaborating with engineers, and machine learning researchers to automate code analysis, build, integration and deployment of ML applications;
          • +
          • Supporting applications and projects with infrastructure design decisions, and monitoring solutions;
          • +
          • Building highly scalable, resilient cloud and on-premise systems for hosting machine learning systems using state-of-the-art technologies;
          • +
          • Providing after-hours production support.
          • +
          +

          You\'re our ideal candidate if you have:

          +
            +
          • Strong experience with Site Reliability Engineering, DevOps and production support;
          • +
          • Strong and relevant experience supporting and maintaining distributed systems;
          • +
          • Hands-on experience building and deploying virtualized environments in major cloud environments, such as Kubernetes, AWS and Azure;
          • +
          • Experience with building tools and applications to automate various infrastructure tasks (Jenkins, etc.);
          • +
          • Proficiency with programming languages such as Python, Bash, or JavaScript;
          • +
          • Experience implementing monitoring solutions to identify system bottlenecks and production issues;
          • +
          • Solid understanding of the UNIX operating system.
          • +
          • Knowledge of the machine learning application deployment process;
          • +
          • Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management;
          • +
          • Familiarity with machine learning frameworks such as PyTorch, TensorFlow, Keras, Theano, and/or similar.
          • +
          +

          What\'s in it for you?

          +
            +
          • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
          • +
          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
          • +
          • Leaders who support your development through coaching and managing opportunities;
          • +
          • Ability to make a difference and lasting impact from a local-to-global scale.
          • +
          +

          About Borealis AI

          +

          Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

          +

          Inclusion and Equal Opportunity Employment

          +

          RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

          +

          +
          ",,https://www.borealisai.com/careers/?gh_jid=6759313002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-08-05T16:29:32.456Z,False,0,7,48,https://talenthub.vectorinstitute.ai/jobs/243216962-devops-engineer-at-borealis-ai,,published,2023-07-05T01:58:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,No Degree,New Posting, +eaa31d9a-3621-4637-a572-55aa961978cd,237205993,TD Bank Group,Sr Business Insights Analyst,on_site,"Toronto, ON",2023-06-17T15:53:01.973Z,"
          +

          Company Overview

          +
          +

          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

          +

          Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

          +
          +

          +

          Department Overview

          +
          +

          The Business Banking Data & Analytics (BB D&A) group is responsible for stewardship of all analytics, reporting and data management requirements for Business Banking.

          The group supports Business Banking product and sales teams in the areas of analytics, insights, performance measurement, business intelligence and reporting.

          +

          The group also develops and executes policies, practices and procedures that properly manage the business’s data needs and adhere to data governance standards as set out by the Enterprise Data Governance Office (EDGO) and Enterprise Data & Analytics (ED&A).

          +
          +

          +

          Job Description

          +
          +

          About this Role

          +

          Reporting to the Manager (Data in Projects), the Senior Business Insights Analyst is responsible for the holistic identification of Business Analytics, Reporting and Data Management Requirements as part of several BB pods in Programs / Projects / BAU. They will work closely and take guidance from Business Bankers, Data Management Leads, and TS counterparts, while facilitating stakeholders in understanding the impact of business processes on the data, both net-new and existing.
          The incumbent will also work together with project stakeholders to help drive several data activities, as defined by the BB Data in Projects Framework, including both the Enterprise Data Governance Office (EDGO) and Analytics capabilities as defined by Enterprise Data & Analytics (ED&A). The Senior Business Insights Analyst will help enable comprehensive analytics delivery within the project/pod, in a risk-managed approach aligned to the BB Data Strategy.

          +

          Accountabilities Include:

          +
            +
          • Responsible for 2-way scoping of Business Analytics, Reporting and Data Management Requirements for several BB projects / programs and Pods.
          • +
          • Facilitate a breakdown of business analytics requirements including to identify reporting needs both for implementation in both operational data stores as well as analytical platforms (i.e. Akora)
          • +
          • Collaborate across BB D&A Pillars to ensure appropriate development, business acceptance testing, rollout and transition to Day 2
          • +
          • Understand data structures being modified and created across the projects and conduct lineage / reverse-engineering to understanding impacts to existing BB D&A Artefacts (i.e. Reporting, Analytics)
          • +
          • Collaborate with project team to verify business data test cases scenarios covers data quality meeting data requirements; create new test cases if required. High level verification of the quality data in lower environments.
          • +
          • Ensure decisions and solutions are aligned with the BB Data in Projects Framework and the larger BB Data Strategy
          • +
          • Identify opportunities for process improvement and automation both across the entire data architecture, as well as within the project and the overall DIP Team
          • +
          • Conduct knowledge transfer with the project teams and with D&A Teams
          • +
          • Support the project team in quantifying the benefits to the Business bank through leveraging data
          • +
          • Facilitate and document current data state and future data target states to ensure effects of data are understood and communicated across all project stakeholders
          • +
          • Work effectively with multiple teams across a broad spectrum of initiatives and functional domains, influencing and aligning others as needed;
          • +
          • Provide functional / business level communications to ensure messages to stakeholders and / or employees are consistent, appropriate and aligned to business strategies and executive management direction;
          • +
          • Develop new standards for Data documentation for use by projects, and communicate these to both D&A, Business and Technology Stakeholders
          • +
          • Participate fully as a member of the Business Bank’s Data & Analytics team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues;
          • +
          • Contribute to a fair, positive and equitable environment that supports a diverse workforce
          • +
          +
          +

          +

          Requirements

          +
          +What can you bring to TD?
          Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

          +
            +
          • Seasoned Business Analyst leader with proven ability to assess, facilitate and ensure deliver holistic analytics, reporting and data management activities, on time and on budget, aligned to business needs
          • +
          • Experience leading data related initiatives with specific emphasis on data retention and disposition expertise considered an asset;
          • +
          • Strategic mindset with the ability to understand implications of key decisions on policies, down-stream processes, etc.;
          • +
          • Knowledge of Business Bank data and systems considered an asset;
          • +
          • Knowledge of platform and data warehouse design and principles is considered an asset
          • +
          • Knowledge and experience in Agile projects, Jira and confluence tools is considered an asset
          • +
          • Knowledge of Cloudera Hadoop, MS Azure, SAS and OCDO Data Management Capabilities are considered an asset
          • +
          • Experience in working on data integration projects or large scale, complex technology projects using formal project delivery methodology;
          • +
          • Hands-on experience working with SQL language to carry-on daily data profiling and data quality is considered an asset
          • +
          • Hand-on experience working with Microsoft tools like MS Visio and MS PowerPoint
          • +
          • Excellent relationship management skills;
          • +
          • Excellent oral and written communication and presentation skills;
          • +
          • Strong organizational awareness;
          • +
          • Strong attention to detail and well-organized to manage large amounts of information and details
          • +
          • Superior negotiation and creative problem-solving skills
          • +
          +
          +

          +

          Additional Information

          +
          #LI-Hybrid
          +

          +

          Hours

          +
          37.5
          +

          +

          Inclusiveness

          +

          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

          +

          +
          ",,https://jobs.td.com/en-CA/jobs/18486666/sr-business-insights-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-07-19T21:23:22.271Z,False,0,3,27,https://talenthub.vectorinstitute.ai/jobs/237205993-sr-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18486666/sr-business-insights-analyst-toronto-ca/,published,2023-06-17T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +a7c606e5-9abd-4f63-a989-32f27159ee25,243955761,Accenture,Industry Analytics Lead- Retail/Energy Sector,on_site,"Toronto, ON, Canada",2023-07-07T01:59:01.541Z,"
          +

          Job Description

          +
          +

          Location: Toronto/Calgary/Montreal/Ottawa/Vancouver

          +

          +

          We are Data & AI, the people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Read on to know more.

          +

          You are: As an Industry Lead in our practice, you will help shape and sell industry specific programs in the Energy or Retail domain, including definition of the analytics/AI vision and strategies, redefine operating model and talent strategy, and help guide clients through their data and analytics journeys to deliver sustainable business value. You will act as the architect for our most transformative opportunities, enabling an end-to-end analytics journey by bringing the best of our Accenture Data & AI organization. You will also play a key role on the leadership team – building a practice, assets, and thought leadership.

          +

          The work:

          +

          1. Support Data & AI Consulting activities:

          +

          · Lead complex analytics transformation projects in the energy or retail domain, from defining the strategy, operating model, value targeting, proof of value and change management to enabling data, analytics and AI capabilities and outcomes.

          +

          · Collaborate with various Accenture teams to bring the right experience, skills, and talent to our clients.

          +

          · Work with our Canadian Innovation Hub to plan and define immersion sessions in core analytic and digital capabilities specific to client needs.

          +

          2. Sales Origination & Business Development

          +

          · Lead a “pod” of Data & AI leaders to drive new business opportunities focused on Data & AI use and adoption in Energy (e.g., Oil & Gas) or Products portfolios (e.g., Retail/CPG, travel, transportation, manufacturing, industrial)

          +

          · Educate internal Accenture stakeholders about our Analytics offerings and applicability to their industry/clients.

          +

          · Facilitate the development of “request for proposals” responses and contract development.

          +

          · Lead the development of businesses cases for further project sales as determined by the practice.

          +

          3. Practice & Offering Management

          +

          · Shape assets to accelerate sales and delivery.

          +

          · Drive the analytics innovation agenda, including publishable thought leadership.

          +

          · Play an active role building a practice including identifying and nurturing talent to help build future leaders by actively participating in recruiting, workforce planning and succession planning initiatives.

          show more show less
          +

          Qualifications

          +

          Job Qualifications:

          +

          Here’s what you need to have:

          +

          1.Industry Experience:

          +

          · 15+ years of consulting experience or relevant industry experience with proven track record of making significant client impact and value creation.

          +

          · Industry and/or industry domain specific experience in energy or retail sector, delivering data-driven capabilities and solutions.

          +

          · Experience in designing and utilizing analytics solutions in enterprise-wide organizations.

          +

          2. Client Relationship Management:

          +

          · Superior understanding of how to manage client relationship, deliver analytics value, and influence senior clients to define and expand data-driven strategies into new applications and markets ·

          +

          · Experience interacting with clients or executives of all levels to review expected outputs, applicability to business challenges, and value measurement Relevant experience could include one or more of the following functional domain areas across the Retail or Energy industry groups:

          +

          Retail:

          +

          o Marketing and customer experience analytics

          +

          o Pricing and revenue management / optimization

          +

          o Personalization and loyalty

          +

          o Selling strategies and merchandising.

          +

          o Distribution & channels

          +

          o Operational effectiveness (workforce, crew, fuel, supply chain, etc.)

          +

          o Compliance, risk and fraud prevention

          +

          Energy:

          +

          o Upstream, midstream, and/or downstream processes

          +

          o Intelligent asset management

          +

          o Emissions management and estimation, carbon accounting / net zero

          +

          o Water analytics and flow analysis

          +

          o Planning and operations

          +

          o Physics based and hydraulic modelling.

          +

          o Nodal simulation

          +

          o Safety analytics

          +

          3.Professional Skills

          +

          · Bachelor’s degree in a quantitative field like statistics/econometrics/mathematics/engineering/computer science

          +

          · Ability to travel and work in Canada.

          +

          · Exceptional presentation skills – ability to convey technology and business value propositions.

          +

          · Leadership experience with teams working across multiple geographies.

          +

          +

          English is required for this position as this role will regularly interact with English-speaking stakeholders across Canada. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company\'s activities to avoid this requirement.

          +

          Bonus points if:

          +

          · Strong data and AI use case creation and execution within a business and technology context

          +

          · Strong data management and data governance background

          +

          · Strong cloud background in delivering data-driven solutions on Azure, AWS and/or GCP.

          +

          · Well versed with leading analytics techniques and confident about how to apply them to generate insights and recommendations.

          +

          · Experience guiding the data formulation process and exploratory data analysis.

          +

          · Evidence of thought leadership in defining innovative analytics within multiple complex applications spanning marketing, risk, and cost reduction

          +
          +

          Locations

          +
          Alberta - Calgary, British Columbia - Vancouver, Ontario - Ottawa, Ontario - Toronto, Quebec - Montreal
          +
          +
          +

          +Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements +

          +
          +

          Equal Employment Opportunity Statement

          -

          Purpose:

          -


          The Pricing Optimization team, within Canadian Banking Analytics, supports the revenue and volume growth for each of the product business line, including lending and deposits by providing advanced analytical pricing solutions, influencing Scotia’s strategic decisions on consumer pricing (rates / fees), and other consumer behavior initiatives. The Senior Manager, Pricing Analytics, is responsible for leading pricing initiatives required to increase customer centricity in
          setting and executing our product prices – including, but not limited to:

          -


          • research, develop, and implement end-to-end pricing models production pipelines and ensure that pipelines are scalable, repeatable, and secure, and can serve multiple users within the organization.
          • working with product, finance, treasury, channel and analytics partners to optimize business’ pricing strategy for optimal profitability management
          • working with technology partners to align and define future state of data and pricing models;
          • proposing an appropriate pricing optimization framework that overlays customer relationship and value to drive growth and profitability.
          • apply statistical, analytical, and programming skills to analyze and interpret large data sets and communicate results and insights to business clients and senior members of the pricing team
          • proposing sip projects where necessary to improve our pricing competency
          • supporting business development, operations and project teams with the required information for product design, policy and other recommendations to ensure they meet Basel, treasury, etc requirements
          • overseeing the preparation of regular and ad hoc reports and portfolio analysis to assist senior management in decisionmaking incorporating such things as volume, margin, profitability, etc.

          +

          All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

          -


          Accountabilities:

          -


          Lead the creation and management of reports and pricing analytics models, analyzing and measuring business line and overall performance:

          -


          • Recommend analytical design for pricing use-cases to senior management, and manage progress towards agreed deliverable
          • Implement necessary experiments to build a repertoire of learnings to inform pricing approach, measure their success, and build an information base of pricing approaches that are accretive to bank results
          • Leverage distributed computing tools (e.g. Spark, Hadoop) for analysis, data mining and modeling to provide actionable insights to decision makers within the Bank
          • Collaborate with Data engineering teams to deploy pricing models and algorithms in production, across business lines
          and geographies
          • Review data for reasonability and completeness; ensuring integrity of data by performing various cross-checks and balances to source data and other related reports
          • Participate and contribute to process improvements to existing reports and pricing models including identifying operational issues & procedure documentation
          • Foster a culture of innovation inside and outside of the company as a visionary capable of inspiring through presentation, demonstration and leading by example.
          • Develop/modify financial models and reports as required to support decision-making

          -


          Supervise the timely and actionable analyses of financial and non-financial results and trends to support the development of strategies, optimizing product profitability and the Bank’s competitive position by:

          -


          • Ensure the preparation and development of ad hoc reports and analyses to assess the financial effectiveness of existing and proposed products, features, programs, campaigns, partner arrangements, etc.
          • Supervise the development of evaluation models/tools that accurately forecast the impact of proposed strategies and initiatives and key drivers of various Canadian Banking businesses
          • Oversee the analysis of raw input from disparate sources in order to develop recommendations to support key planning assumptions such as market growth expectations, account growth, volume growth, margins and net-interest revenue
          • Oversee and develop dealer / broker volume, growth, redemption trends etc for dealer/ broker channels
          • Oversee the continual monitoring the competitive landscape to stay abreast of industry trends, be ensuring a review of the competitor websites for current deposit pricing

          -


          Provide support to the preparation of month-end/year-end financial statements and the profit planning process by:

          -


          • Ensuring the completion of monthly statement of revenue and expenses, trend analysis relative to business plan, manage the quarterly volume and forecasting process in partnership with IB Banking Finance
          • Prepare forecasts, mini forecasts, dashboard reports and various budgetary updates
          • Assisting in compiling presentations for Senior Management and Executive

          -


          Requirements & Qualifications:

          -


          • The candidate will be at the intersection of math/stats, computer science, communication, the business
          line and the customer. She/he will take a supporting role in agile rapid labs and strategy development to
          drive innovation and digital transformation throughout the Bank and Corporate
          • Excellent knowledge of financial and statistical modelling, Machine Learning principles and accounting
          policies to develop models and reports
          • Strong understanding of pricing methodologies, and other industry regulations impacting deposit pricing
          • Excellent quantitative technical skills and extensive knowledge in machine Learning libraries in R, Python,
          Spark
          • Experience with SAS and SQL skills for querying relational databases (e.g. SQL Server, DB2, MySQL)
          • Understanding of the banking sector in Canada, both the advisory channel as well as retail banking,
          including available products, market trends, existing and emerging players, competitive advantages and
          best practice
          Behavioural skills:
          • Excellent analytical skills, numerical ability, accuracy and thoroughness to develop financial models that
          impact strategic decisions and provide product profitability analysis
          • Strong communication and interpersonal skills to develop support and cooperative relationships
          throughout the organization
          • Customer focus; results focus to meet tight turnaround deadlines
          • Strong supervisory skills

          +

          Accenture is committed to providing veteran employment opportunities to our service men and women.

          -


          Educational Requirements:

          -


          • University degree in relevant STEM discipline (Computer Sciences, Electrical/Computer/Software
          Engineering and Mathematics) with minimum 5 years financial services experience

          +

          Requesting An Accommodation

          -

          Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Senior-Manager%2C-Pricing-Analytics-CID&A/571499017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-22T18:18:42.614Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/238529772-senior-manager-pricing-analytics-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Senior-Manager%2C-Pricing-Analytics-CID&A/571499017/,published,2023-06-22T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -6763cde1-41d4-4fe1-9802-d705953b6056,236452208,Scotiabank,"Senior Manager, Collections Strategies and Analytics - 12 Month Contract",on_site,Canada : Ontario : Toronto,2023-06-15T15:52:03.681Z,"

          +

          Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

          +

          If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

          +

          Other Employment Statements

          -

          Requisition ID: 179148

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

          +

          Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

          -

          Purpose of Job:

          +

          The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company\'s legal duty to furnish information.

          +
          +
          +
          Share
          +
          Share
          +
          Job Link:
          Copy
          +
          +
          +
          ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00152027_en&title=Industry+Analytics+Lead-+Retail%2fEnergy+Sector,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2023-08-16T16:59:05.595Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/243955761-industry-analytics-lead-retail-energy-sector-at-accenture,,published,2023-07-07T01:59:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, +dc58fe9e-c7b9-4b62-8337-d8f640e0a2f1,246294055,Scotiabank,"Senior Manager, Model Development - Internal Ratings Management (IRM)",on_site,Canada : Ontario : Toronto,2023-07-13T15:52:02.482Z,"

          +

          +

          +

          +

          Requisition ID: 181186

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

          +

          +

          Purpose:

          +

          +

          The Senior Manager, Model Development is responsible for developing models for Business Banking Borrower Risk Ratings.

          +

          Internal Ratings Management (IRM) is responsible for:

          +

          +625; Design, select, implement, maintain, review, provide user support for, and ensure the performance of
          +625; Business Banking AIRB models i.e. Borrower Risk Rating, Probability of Default (PD), Loss-Given-Default (LGD), Exposure-At-Default (EAD), and Usage-Given-Default (UGD).
          +625; Business Banking IFRS9 Expected Credit Loss (ECL) models.
          +625; Ensure ongoing compliance with OSFI requirements with respect to Business Banking AIRB models, and Business Banking IFRS9 ECL models.
          +625; Provide input and support for responding to questions from local regulators of BNS subsidiaries and branches.
          +625; Provide quantitative input and support to internal teams for measurement, management, and reporting of Credit Risk.

          +

          +

          Major Accountabilities:

          +

          1. Design and implement models for Business Banking Borrower Risk Ratings

          +


          +625; Performing data mining and statistical analysis on the Bank’s data related to borrower risk rating modeling
          +625; Performing quantitative and qualitative analysis
          +625; Conducting research and analysis of applicable methodologies
          +625; Ensuring effective and efficient communications with Credit and Banking groups and other relevant stakeholders during the model development process
          +625; Implementing and maintaining a rigorous framework of internal controls and comprehensive documentation related to borrower risk rating models
          +625; Communicating with Credit and Banking groups to ensure the correct usage of models and the model limitations are properly understood

          +

          +

          2. Develop and maintain sound methodology for monitoring model performance, which allows us to identify problematic models promptly to ensure timely recalibration of models and better serve business needs.

          -

          GRM Retail Credit Risk Collections is leader in developing innovative solutions impacting Bank’s profitability. This is accomplished through the use of advanced analytics, collections efficiency and disciplined risk governance.

          +

          3. Develop and maintain model documents for Business Banking Borrower Risk Rating models.

          -

          You, as a Senior Manager Collections Strategies and Analytics, are a leader with strong collaboration and communication skills and a great ability to manage multiple priorities in a very fast paced-entrepreneurial environment. You contribute to the success of the Collections function by defining, implementing and tracking best-in-class collections strategies, consistent process execution, and oversight. You are a rigorous logical thinker, curious, flexible and have great teamwork abilities. Your background and experience is at the intersection of math/stats, computer science, communication, and domain knowledge in Retail Risk Management.

          +

          4. Provide ongoing support to users.

          +


          +625; Acting as a trusted advisor to identify, diagnose, and solve problems related to Business Banking Borrower Risk Rating models
          +625; Providing model analytical and technical support as needed

          +

          +

          5. Maintain a productive working relationship with teams within BNS groups:

          +


          +625; GBM, CCB, and International Banking and GRM Credit groups
          +625; Enterprise Risk
          +625; Senior and Executive Management
          +625; RRGC (Risk Rating Governance Committee)

          +

          +

          6. Ensure compliance with various governance agents such as OSFI and other regulators, Internal Audit, and Model Validation and Approval

          -

          What's in it for you?

          -
          • Opportunity to make a direct impact to the Bank’s profitability
          • A compensation program with a competitive salary, opportunities for annual performance incentives based on performance thresholds, a competitive benefits program and continuing education programs
          • -
          +

          7. Broader work assignments or accountabilities may be assigned as needed.

          -

          Job Responsibilities:

          -

          Leverage your strong retail risk analytical background in order to collaborate with various business partners to:

          -
          • Lead collections analytics, strategy and portfolio performance assessment, and technological improvement
          • Generate analytical recommendations to influence stakeholders in their actions to minimize loan losses, improve dollars collected, and gain operational efficiencies
          • Ensure all credit risks associated with collections are quantified with effective management reporting, across all components of collections (People, Data, Process, Technology, and Strategy)
          • Manage processes related to gathering and processing of structured and unstructured data into a form suitable for analysis
          • Deliver on analytical projects to improve collection efforts and recoveries
          • Recommend improvements to existing processes. Introduce changes under a test/control framework to help drive decisions that improve profitability
          • Design and implement policies to help our customers in need of loan modification programs
          • Provide oversight of collection efforts by developing performance reports and early warning triggers
          • -
          +

          8. Works independently and regularly handles non-routine situations.

          -

          Job Requirements:

          -
          • A Master's degree in Business, Economics, Finance, Industrial Engineer, Mathematics or related discipline and a strong background in quantitative analysis
          • Strong judicious relationship-building and negotiation skills to articulate sound recommendations and influence executives
          • Excellent communication and presentation skills: can convey messages in a clear, concise and succinct manner, select the best method of communication to influence business decisions
          • A results-driven individual with a high level of curiosity and the ability to dive into details without losing sight of the big picture
          • Exceptional organization skills to prioritize, manage, and implement a variety of contesting initiatives, on a concurrent or staggered basis
          • Strong background in quantitative analysis applied to portfolio metrics
          • Three to five years of experience in retail risk portfolio management, collections or provisions
          • Strong experience with statistical software packages such as SQL/SAS and Python
          • Strong experience with Machine Learning techniques
          • Experience manipulating large and complex databases
          • -
          +

          9. Keep abreast of the regulatory requirements and industry best practices

          +


          Dimensions:

          +

          Position requires a balance of quantitative skills and business/regulatory knowledge and experience.
          Business and Regulatory Knowledge:

          +625; Experience with building models for compliance with government regulation.
          +625; Experience with the development of system/data requirements in a risk-assessment or similar framework
          +625; Knowledge of, or experience with, regulatory requirements and their impacts.

          +

          Technical skills:

          +

          +625; Capable of clearly understanding and articulating model design, model assumption, and model results.

          +

          +625; Strong data manipulation/diagnostic skills and analytical/problem-solving skills, with knowledge in at least one general-purpose programing language. Python, C, and C++ knowledge preferred.

          +

          +625; Experience with analytical software tools and packages such as Pandas (Python), R.

          -

          Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Senior-Manager%2C-Collections-Strategies-and-Analytics-12-Month-Contract/571295117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-16T01:16:11.213Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/236452208-senior-manager-collections-strategies-and-analytics-12-month-contract-at-scotiabank,https://jobs.scotiabank.com/job/Senior-Manager%2C-Collections-Strategies-and-Analytics-12-Month-Contract/571295117/,published,2023-06-15T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Masters Degree,New Posting, -276ae9ab-1f0e-43ce-9760-44db24480303,242607508,Scotiabank,"Senior Manager, Metrics and Delivery, Data & Al Risk",on_site,Canada : Ontario : Toronto,2023-07-03T15:52:04.372Z,"

          +

          Requirements:

          +

          +625; Minimum Master’s degree or equivalent in a quantitative discipline—science, technology, engineering or mathematics, or quantitative finance.
          +625; 3 or more years of experience in a professional role with analytical, recommending and reporting disciplines is preferred.
          +625; Excellent excellent technical writing skills.
          +625; Direct experience as a user or developer of credit risk models is preferred.
          +625; Familiarity with government regulations and documentation is preferred.

          +

          Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Model-Development-Internal-Ratings-Management-%28IRM%29-ON-M5H1H1/572115917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-16T22:33:05.280Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/246294055-senior-manager-model-development-internal-ratings-management-irm-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Model-Development-Internal-Ratings-Management-%28IRM%29-ON-M5H1H1/572115917/,published,2023-07-13T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Masters Degree,New Posting, +36c35951-2030-481f-9736-ec3743b15efc,247732323,Scotiabank,"Power BI Report Developer, Client Insights & Analytics (8 Month Contract)",on_site,Canada : Ontario : Toronto || Canada : Alberta : Calgary || Canada : Alberta : Edmonton || Canada : British Columbia : Vancouver || Canada : Quebec : Montreal,2023-07-17T15:52:03.486Z,"

          -

          Requisition ID: 179373

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

          -

          Purpose of Job:

          +

          Requisition ID: 181441

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

          -

          Are you passionate about data and analytics, but also risk management? Are you looking for a ambitious role in an emerging and exciting field? Join a purpose driven team, acted to results, in an inclusive and high-performing culture.

          +

          Power BI Report Developer, Client Insights & Analytics - (8 Month Contract)

          -

          The Data and Artificial Intelligence Risk (DAIR) team is looking for a highly driven change agent who demonstrates integrity, drive and courage to lead the design and execution of the DAIR management program plan.

          +

          Purpose

          -

          As a member of the team, you will be directly contributing the operationalization of data and AI risk at the organization, while working with a collaborative team of inspiring professionals to help deliver the Enterprise DAIR Program objectives.

          +

          Contributes to the overall success of the Global Banking and Markets (GBM) business globally by developing interactive reports using Power BI Desktop and Power BI Report Builder. These reports ensure informed data-driven decision making. The ideal candidate will be familiar with banking products in the wholesale banking industry.

          -

          Job Responsibilities:

          +

          The candidate will be able to work in both a team environment and operate independently to help drive the re-development of the reporting portfolio. They would have highly developed capabilities in data visualization and reporting in Power BI. Experience in Power Automate and Tableau would be preferred as well.

          -
          • Design comprehensive metrics to cover the full data risk taxonomy
          • Responsible for the collection, reporting and visualization of key metrics for various purposes (Board reporting, committees, project updates, audit, regulator) and audiences (Board, Senior Leadership, Team, Audit, Regulator).
          • Responsible for project/program management (project plan, risk and issue tracking) of key deliverables for operationalizing program (including managing/tracking Regulator and Audit deliverables)
          • Responsible for creating reports/decks as it pertains to metrics and program delivery
          • Provide expertise and advice to the first line of defense on the design and best practices, specifically as it pertains to metrics and project deliverables, for effective implementation of Data and AI Risk
          • Develop strong partnership and work in close alignment with other risk functions and business partners to provide professional advice and guidelines
          • Assist in execution of the periodical and ad-hoc reporting to the Board, CRO, Risk Committees, including collection of metrics and creation of dashboards and reports
          • Exercise sound judgment in identifying, reporting, and escalating risks or issues to senior management
          • Foster an inclusive and collaborative team environment, and prioritize team’s goals
          • Assist with data risk management activities and participate in data risk management oversight where required
          • Champion a high-performance environment and contribute to an inclusive work environment
          • -
          +

          The role requires individual to take in reporting requirements, assess functionality, focus on user experience and analyze data for consistency. Individual should be able to quickly familiarize themselves with data models and execute on report building.

          -

          Job Requirements:

          +

          Accountabilities

          -
          • Strong quantitative background (based on either experience or education) is a must
          • Post-Secondary education completed.
          • PMP preferred but not mandatory
          • 5+ years experience in data & analytics, internal control, risk management, project/program management and/or related areas
          • Experience working with Business Intelligence Visualization tools (for example Tableau and/or Power of BI)
          • Project/program management experience
          • Strong Microsoft Suite experience (Excel, PowerPoint)
          • Experience in creating and developing presentation materials (including reports and business intelligence visualization) and informing with Senior Management
          • Excellent communication (verbal and written)
          • Strong organization skills and adaptability to manage ambiguity
          • Strong presentation and facilitation skills are not required, but considered an asset
          • Curious and proactive learner able to solve complex problems, multi-task and manage changing priorities
          • +
            • Understand reporting requirements and translate the required data into meaningful visualizations.
            • Strong Business and Technical Acumen as related to report development:
            • Develop optimal data models using a combination of SQL, Dataflow and Datasets that utilize the strengths of the Power platform and should result in a seamless user experience.
            • Utilize strengths of Power Query and DAX to create complex in-report columns, measures and calculations that provide useful insight to the GBM portfolio.
            • Implement low level security on data and apply security layers on data models
            • Eye for report and dashboard design that enhances user interaction and overall user experience.
            • The role requires communicating with internal stakeholders that spans across front office, GBM COO and technology teams.
            • Strong organization and multi-tasking skills as the individual will be managing the development of several reports concurrently.
            • Adept at testing the report after development to ensure portfolio KPIs are accurate.
            • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
            • Contribute to a high-performance environment and fosters an inclusive work environment that supports the vison/values/business strategy for the team.
            • Collaborate with internal stakeholders in front office business lines, GBM COO and Technology to ensure report development success.

            -

            Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Senior-Manager%2C-Metrics-and-Delivery%2C-Data-&-Al-Risk/571155117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-03T14:54:34.924Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/242607508-senior-manager-metrics-and-delivery-data-al-risk-at-scotiabank,https://jobs.scotiabank.com/job/Senior-Manager%2C-Metrics-and-Delivery%2C-Data-&-Al-Risk/571155117/,published,2023-07-03T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -bfc8aa88-7e4a-4229-adce-24090e8e8b31,242607505,Scotiabank,"Senior Analyst, Canadian Regulatory Reporting - 12 Month Contract",on_site,Canada : Ontario : Toronto,2023-07-03T15:52:03.881Z,"

          -

          -

          +

          Is this the right role for you?

          -

          Requisition ID: 180275

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

          -

          -

          ** This is a 12 month contract position **

          -

          -

          Job Purpose:

          -

          The Senior Analyst scrutinizes and evaluates FINTRAC regulatory reporting with a focus on analytical procedures for effective reporting. Guided by Bank policy, receives direct supervision from the Senior Manager. Within a well-defined task, the Senior Analyst is expected to function independently while ensuring that management is kept informed and that problems and issues are escalated appropriately.

          -

          -

          Key Accountabilities:

          -
          • Provides senior management with consistent, consolidated, annotated reporting on AML regulatory reporting to FINTRAC, specific to Canadian legislation, with specific emphasis on Large Cash Transaction Report (LCTR) and Electronic Funds Transfer Report (EFTR) requirements.
          • Identifying unacceptable AML risks and escalating appropriately to the Senior Manager or Director.
          • Identify, track, and communicate system improvement opportunities and analytic defects, and participate in the implementation process.
          • Assist in the creation and maintenance of analytical tools (Advanced Excel tools) and reporting dashboards (e.g. Tableau, eazyBI) in respect to FINTRAC regulatory reporting.
          • Assist in the development of business requirement documents and user acceptance testing of AML front end and detective controls. Participate in the operational implementation process by assisting in the development of training materials, the creation of job aids and workflows, the development of communications and publications, the development of conversion and implementation strategies, training staff, and post-implementation support.
          • Support and continuously improve the on-going initiatives in respect to AML regulatory reporting to FINTRAC, by providing ad hoc reporting, monitoring efficiency/effectiveness of reporting through analytical processes, soliciting feedback, and critically assessing procedures.
          • Prepare documents for audit review and validate.
          • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
          • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, Enterprise AML/ATF Global Handbook and the Guidelines for Business Conduct.
          • Champions a high performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team.
          • -
          -

          -

          Job Requirements:

          -
          • A proven ability to critically assess, prioritizes tasks, and delivers meaningful results in a fast-paced environment.
          • Basic knowledge of operational processes including best practices, current and anticipated regulatory requirements, Back Office processes, and the end-to-end workflows among the Front and Back Offices.
          • Good interpersonal and communication skills in both oral and writing, and to ability exercise diplomacy and judgement, to effectively work with end users, members of project teams, and stakeholders across the global organization.
          • Proficient with querying in database management software (e.g. Microsoft SQL Server Management Studio, Oracle, MySQL)
          • Proficiency in advanced functions in Microsoft Excel, such as VLOOKUP, Nested IFs, SUMIFs, Fuzzy Logic
          • Proficiency with languages and tools: Python, VBA
          • Proficiency with data analytics and visualization/ case management software, (e.g. Tableau, eazyBI).
          • Working knowledge of XML an asset
          • Proven ability to effectively analyse large amounts of transactional and case management data.
          • Proven creative, self-starter, results-oriented, and highly motivated individual with good analytical skills in order to apply this knowledge to improve existing solutions and assist in the development of AML/ATF strategies.
          • Strong knowledge of regulatory compliance, particularly with respect to FINTRAC regulatory reporting (including LCTR/EFTR).
          • Experience with SWIFT EFT/Non SWIFT EFT/LCTR reporting (e.g. MT 103 messages)
          • -
          -

          -

          Education/Experiences:

          -
          • A recognized under-graduate degree in a business or technical discipline (Accounting, Finance, Data Science, Statistics or a related field) or a minimum of 1 year related experience
          • +
            • Responsible for the end-to-end report development for key business line reports.
            • Experience in developing reports on Power BI Desktop and Report Builder
            • Expert capabilities in DAX, Power Query and SQL
            • Experience in report and dashboard development
            • Experience with developing custom Power BI visualizations
            • Strong communication and organization skills
            • Experience managing internal relationships with business desks and senior stakeholders
            • Bachelor of Computer Science or Information System or Finance
            • 3+ years of experience in similar role
            -

            -

            -

            Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst%2C-Canadian-Regulatory-Reporting-12-Month-Contract-ON-M5C2W1/571744017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-03T14:51:47.885Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/242607505-senior-analyst-canadian-regulatory-reporting-12-month-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst%2C-Canadian-Regulatory-Reporting-12-Month-Contract-ON-M5C2W1/571744017/,published,2023-07-03T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +

          Location(s): Canada : Ontario : Toronto || Canada : Alberta : Calgary || Canada : Alberta : Edmonton || Canada : British Columbia : Vancouver || Canada : Quebec : Montreal

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

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

          ",,https://jobs.scotiabank.com/job/Toronto-Power-BI-Report-Developer%2C-Client-Insights-&-Analytics-%288-Month-Contract%29-ON-M5H-0B4/572225317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-16T23:19:10.399Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/247732323-power-bi-report-developer-client-insights-analytics-8-month-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Power-BI-Report-Developer%2C-Client-Insights-&-Analytics-%288-Month-Contract%29-ON-M5H-0B4/572225317/,published,2023-07-17T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, 9415e5bc-0db1-4c56-ae3f-3aa3f44694c5,243156886,TELUS, Senior Machine Learning Engineering Consultant,on_site,"Toronto, ON, Canada",2023-07-04T19:03:38.192Z,"

          Description

          Our team and what we’ll accomplish together

          As a ML Engineer at TELUS, you’ll be in great company, working alongside some of the brightest and most creative Data Scientists, Data Engineers, and Strategists. You will be part of the journey we’re on to better understand our customers, to predict their needs and interaction behavior. With your expert knowledge and experience in Machine Learning, you will contribute to the development of state-of-the-art ML & AI driven solutions. Our team works in a fun, innovative, and challenging environment that directly influences the strategic direction and performance of the Marketing, Strategy & Data Insights team in our Home Solutions and Mobility business.

          @@ -7813,233 +14956,7 @@ bfc8aa88-7e4a-4229-adce-24090e8e8b31,242607505,Scotiabank,"Senior Analyst, Canad
        • Google Professional ML Engineering Certification
        • Data visualization experience: Data Studio, Tableau, PowerBI, Domo, or Looker
        • Experience with agile methodology and team-based software development workflows (e.g. JIRA, Monday.com, etc.) #LI-Remote
        • -",,https://careers.telus.com/job/Senior-Machine-Learning-Engineering-Consultant/568309817/,aitalent@vectorinstitute.ai,https://www.telus.com/en/about/careers,,,2023-08-03T19:03:40.303Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/243156886-senior-machine-learning-engineering-consultant-at-telus,,published,2023-07-04T19:03:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, -ee5e7e4f-3c41-4382-85ec-302dd46638a5,243155617,Clearpath,Perception Autonomy Developer Co-op,on_site,"Kitchener, ON, Canada",2023-07-04T17:54:49.717Z,"

          Position: Perception Developer Co-op
          Location: Based in Kitchener-Waterloo, Ontario
          Duration: Fall 2023
          Study Level: Senior
          Area of Study: Computer Science, Software Engineering or Related Field
          Division: OTTO Motors

          -

          About OTTO™ Motors (Division of Clearpath Robotics)

          -

          OTTO™ Motors is a growing, disruptive company, making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self-driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit www.ottomotors.com.

          -

          A... the Job

          -

          We're looking for a driven, resourceful and motivated candidate for the Perception Developer Co-op position. This person will help develop the next generation of perception and machine learning algorithms to tackle the toughest challenges in localization, mapping, object detection and computer vision.

          -

          The Perception Team’s primary responsibility is the development of the core robotics software responsible for environmental sensing and understanding on all of our vehicles. As a Perception Developer you will work on the development and testing of the core robotics software that drives vehicles at sites all around the world. You will be responsible for evaluating state-of-the-art ideas from academia and industry, and taking these ideas out of the lab and into the real world, identifying opportunities to improve, and developing high-performance software to run in real time on robots.

          -

          Your primary responsibilities will be:

          -
            -
          • Creating robust innovative solutions to the problems of robotic perception
          • -
          • Developing custom perception and machine learning algorithms and systems related to localization, mapping, object detection and tracking, computer vision, and more
          • -
          • Evaluating new sensing technology and robotic platforms
          • -
          • Assisting with concept development for new products and projects
          • -
          • Supporting the deployment and testing of robotic systems
          • -
          -

          Skills and experience:

          -
            -
          • Practical and theoretical knowledge in at least one or more areas of: state estimation, computer vision, SLAM, machine learning, object detection and tracking, robotic perception.
          • -
          • Strong software development skills in modern C++ and Python.
          • -
          • Proficiency with Linux
          • -
          • Understanding of software development workflows, life cycles and development methodologies and tools.
          • -
          -

          Bonus points for:

          -
            -
          • Hands-on experience with real world autonomous systems.
          • -
          • Experience writing efficient, high performance code.
          • -
          • Experience with ROS, Gazebo, OpenCV and PCL.
          • -
          • Experience with machine learning frameworks such as Tensorflow, PyTorch and TensorRT.
          • -
          • Familiarity with linear algebra and nonlinear optimization techniques and libraries such as Ceres, GTSAM, g2o and Eigen.
          • -
          -

          Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, gender identity/expression, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

          ",,https://jobs.jobvite.com/clearpath/job/oG8bnfw6,aitalent@vectorinstitute.ai,https://clearpathrobotics.com/robotics-careers/,,,2023-08-03T17:54:00.000Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/243155617-perception-autonomy-developer-co-op-at-clearpath,,published,2023-07-04T17:54:00.000Z,admin,Scaling (20-499),Application Click Through,Manufacturing ,Internship/Co-op,No Degree,New Posting, -fe1a5f9e-0639-4127-9eb3-8d053e1f5966,236958273,Vector Institute,"Applied ML Scientist, Health Lead",on_site,"Ontario, Canada",2023-06-17T02:12:03.668Z,"

          JOB DESCRIPTION

          -

          Applied ML Scientist, Health

          -

          POSITION OVERVIEW

          -

          As an Applied ML Scientist - Health, you will provide technical leadership and contribute to focused research breakthroughs and applications to solve real-world health problems with machine learning and AI. You will provide guidance and work with some of the best and brightest data scientists and machine learning (ML) engineering staff from leading industry and health organizations. You will collaborate with some of the leading machine learning researchers, data scientists and AI engineering teams. Publishing research papers on applied research is a part of this role, but the greatest focus is on the impact of applications, not on the quantity or quality of publications. We are seeking a scientist with research experience in Responsible AI in a deep learning context. Experience in Fairness, Explainability, Privacy, AI Safety, Recommender Systems, and Natural Language Processing are all valuable areas of knowledge for this role. This position is an individual contribution position and focused on providing technical leadership in implementation focused applied ML in health settings.

          -

          -

          RESPONSIBILITIES

          -
            -
          • Lead research and implementation of varied machine learning and deep learning techniques in the health domain;
          • -
          • Work in collaboration with Vector’s Health team, and health sector partners to identify challenges in the health domain that can be solved using advanced ML techniques such as NLP, Computer Vision, Generative Models etc.;
          • -
          • Provide technical guidance to AI Engineering team members and lead delivery of applied ML projects in health;
          • -
          • Provide scientific advice regarding overall machine learning application strategies and roadmaps for the health domain;
          • -
          • Work in collaboration with Researchers, Machine learning specialists, and Vector affiliates to build demos, minimum viable products (MVP), reference implementations, and prototypes;
          • -
          • Provide scientific oversight for Vector-led or co-led efforts to prepare and present machine learning research in the health domain;
          • -
          • Serve as the lead Vector scientific contributor for health, including contributing to or leading the authoring of peer-reviewed research papers;
          • -
          • Contribute to training sessions and other initiatives for Vector’s professional staff and stakeholders that help increase AI knowledge and capacity of the health system to recognize and act on opportunities to apply machine learning;
          • -
          • Serve as an expert and facilitate identification of experts among Vector’s research community for external stakeholders to advise on machine learning research trends and applications;
          • -
          • Perform other functions as required e.g., providing scientific advice and technical support to other members of Vector’s leadership team and corporate projects led by Vector.
          • -
          -

          -

          PROFILE OF IDEAL CANDIDATE

          -
            -
          • PhD degree in computer science or computer engineering with a research focus on machine learning required;
          • -
          • Demonstrated expertise in one or more of: ML for health, Explainable AI, AI Safety, privacy for AI/ML, AI governance, Nature Language Processing (NLP), Natural Language Understanding and generation;
          • -
          • Demonstrated experience applying machine learning research to novel problems and data sets;
          • -
          • Experience with software engineering and/or data engineering is considered an asset;
          • -
          • Strong knowledge and experience of Python;
          • -
          • Experience with parameter and architecture tuning of deep learning algorithms;
          • -
          • Experience using open source deep learning software frameworks (e.g, PyTorch, Tensorflow, JAX); and,
          • -
          • Experience with recommendation systems is considered an asset.
          • -
          -

          -

          KEY SUCCESS MEASURES

          -
            -
          • Vector is successful in implementing its health strategy (including the strategic goal to support the widespread application of Health AI) and the industry sponsor retention strategy
          • -
          • Stakeholders that would otherwise be unable to utilize machine learning techniques are supported in identifying problems amenable to AI, and in utilizing machine learning
          • -
          • Following interactions with the Vector team, external stakeholders are positioned to perform, or secure external resources to perform, their own machine learning deployment independent of direct Vector involvement
          • -
          -

          ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=9200420850870_2&jobId=447769&lang=en_CA&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2023-07-19T18:40:45.041Z,False,0,5,28,https://talenthub.vectorinstitute.ai/jobs/236958273-applied-ml-scientist-health-lead-at-vector-institute,,published,2023-06-17T02:12:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Associate,PhD,New Posting, -fe1a5f9e-0639-4127-9eb3-8d053e1f5966,236958273,Vector Institute,"Applied ML Scientist, Health Lead",on_site,"Ontario, Canada",2023-06-17T02:12:03.668Z,"

          JOB DESCRIPTION

          -

          Applied ML Scientist, Health

          -

          POSITION OVERVIEW

          -

          As an Applied ML Scientist - Health, you will provide technical leadership and contribute to focused research breakthroughs and applications to solve real-world health problems with machine learning and AI. You will provide guidance and work with some of the best and brightest data scientists and machine learning (ML) engineering staff from leading industry and health organizations. You will collaborate with some of the leading machine learning researchers, data scientists and AI engineering teams. Publishing research papers on applied research is a part of this role, but the greatest focus is on the impact of applications, not on the quantity or quality of publications. We are seeking a scientist with research experience in Responsible AI in a deep learning context. Experience in Fairness, Explainability, Privacy, AI Safety, Recommender Systems, and Natural Language Processing are all valuable areas of knowledge for this role. This position is an individual contribution position and focused on providing technical leadership in implementation focused applied ML in health settings.

          -

          -

          RESPONSIBILITIES

          -
            -
          • Lead research and implementation of varied machine learning and deep learning techniques in the health domain;
          • -
          • Work in collaboration with Vector’s Health team, and health sector partners to identify challenges in the health domain that can be solved using advanced ML techniques such as NLP, Computer Vision, Generative Models etc.;
          • -
          • Provide technical guidance to AI Engineering team members and lead delivery of applied ML projects in health;
          • -
          • Provide scientific advice regarding overall machine learning application strategies and roadmaps for the health domain;
          • -
          • Work in collaboration with Researchers, Machine learning specialists, and Vector affiliates to build demos, minimum viable products (MVP), reference implementations, and prototypes;
          • -
          • Provide scientific oversight for Vector-led or co-led efforts to prepare and present machine learning research in the health domain;
          • -
          • Serve as the lead Vector scientific contributor for health, including contributing to or leading the authoring of peer-reviewed research papers;
          • -
          • Contribute to training sessions and other initiatives for Vector’s professional staff and stakeholders that help increase AI knowledge and capacity of the health system to recognize and act on opportunities to apply machine learning;
          • -
          • Serve as an expert and facilitate identification of experts among Vector’s research community for external stakeholders to advise on machine learning research trends and applications;
          • -
          • Perform other functions as required e.g., providing scientific advice and technical support to other members of Vector’s leadership team and corporate projects led by Vector.
          • -
          -

          -

          PROFILE OF IDEAL CANDIDATE

          -
            -
          • PhD degree in computer science or computer engineering with a research focus on machine learning required;
          • -
          • Demonstrated expertise in one or more of: ML for health, Explainable AI, AI Safety, privacy for AI/ML, AI governance, Nature Language Processing (NLP), Natural Language Understanding and generation;
          • -
          • Demonstrated experience applying machine learning research to novel problems and data sets;
          • -
          • Experience with software engineering and/or data engineering is considered an asset;
          • -
          • Strong knowledge and experience of Python;
          • -
          • Experience with parameter and architecture tuning of deep learning algorithms;
          • -
          • Experience using open source deep learning software frameworks (e.g, PyTorch, Tensorflow, JAX); and,
          • -
          • Experience with recommendation systems is considered an asset.
          • -
          -

          -

          KEY SUCCESS MEASURES

          -
            -
          • Vector is successful in implementing its health strategy (including the strategic goal to support the widespread application of Health AI) and the industry sponsor retention strategy
          • -
          • Stakeholders that would otherwise be unable to utilize machine learning techniques are supported in identifying problems amenable to AI, and in utilizing machine learning
          • -
          • Following interactions with the Vector team, external stakeholders are positioned to perform, or secure external resources to perform, their own machine learning deployment independent of direct Vector involvement
          • -
          -

          ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=9200420850870_2&jobId=447769&lang=en_CA&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2023-07-19T18:40:45.041Z,False,0,5,28,https://talenthub.vectorinstitute.ai/jobs/236958273-applied-ml-scientist-health-lead-at-vector-institute,,published,2023-06-17T02:12:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Associate,PhD,New Posting, -2fc9b394-afee-480c-95b9-77532e025c89,238529775,Scotiabank,Principal Data Engineer - CID&A,on_site,Canada : Ontario : Toronto,2023-06-22T15:52:03.524Z,"

          -

          -

          -

          -

          Requisition ID: 180122

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

          -

          -

          Purpose:

          -

          -


          The CID&A (Customer Insights, Data & Analytics) team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is produced, consumed, and managed at an enterprise level to drive business value. The aim is to provide a truly productized offering of re-usable data that can be delivered iteratively through a streamlined process and framework in order to meet the velocity that will allow data consumers to focus on delivering business value. We are looking to build our delivery team with influencers, makers, creators and industry leaders who will drive us forward.

          -

          -


          The role of the Principal Data Engineer operates within the Data Enablement & Architecture team. This valuable member of the team will be the Technical Lead responsible for creating scalable automated systems for re-usable data assets, pipelines and services for the broad enterprise use. This role is focused on creating transformative change in how our organization interacts with data.

          -

          -


          A Day in the life:

          -


          Working on the DEA (Data engineering & architecture) team within Scotiabank’s Data Office, you will meet individuals from around the bank. Working specifically with our cloud technologies you will be responsible for bringing the bank’s data together on cloud. As the Technical Lead of this product line, you’ll manage both the technical direction and engineering team on a day-to-day basis. You will also be instrumental in product design, working with Product Managers and Business Analysts to support the product roadmap and backlog. You will be a great fit if you are open to mentoring others, and passionate about implementing good design and development practices. This is an opportunity to grow a young product team into a key component of the bank’s strategic future.

          -

          -


          Key Accountabilities:

          -


          • Lead a high-functioning Product Engineering Team!
          • Design, manage, and maintain data services and platforms to enable enterprise-wide use of data
          • Be an evangelist and drive adoption of data services and automation tools
          • Work closely with partner teams in Analytics, IT, various lines of business to create reusable assets that drive real business outcomes
          • Participate in design discussions focused on scalability and design and implementation best practices.
          • Work with other lead engineers and architects on breaking-down, scoping, and estimating tasks.
          • Participate in planning and retrospective sessions, attend stand-ups, etc.
          • Provide mentorship, peer review, and code review on data services & DevOps practices.
          • Lead one or more products/services and define functions or features for data platforms.
          • Support and maintain a successful product

          -

          -


          Functional Competencies:

          -


          • 5+ years of experience in building and delivering scalable, enterprise-level software solutions
          • 5+ years of software development and infrastructure experience, using a variety of object-oriented programming languages (e.g. Scala, Java, Python)
          • 3+ years of experience leading and managing software development teams
          • Proven experience designing service and microservice based architectures
          • Strong knowledge and understanding of container and micro-services technologies (Docker, Kubernetes, APIM); domain expertise in data platform features and capabilities.
          • Functional experience developing applications using Cloud technologies (e.g. Google Cloud)
          • Proven experience working with big data technologies (e.g. Spark, Airflow, MinIO, Rancher)
          • Proven experience working with relational databases (DB2, MySQL, PostgreSQL).
          • Strong Understanding of CI/CD (Jenkins, Git, Bitbucket, other).
          • Experience working with traditional data warehousing / ETL tools (Talend, Informatica, DataStage, other).
          • Experience in software engineering best practices such as code reviews, testing frameworks, maintainability and readability
          • Knowledge and understanding of analytics & data science life cycle
          • Experience in Agile/Product/Architecture.
          • Experience in Cloud Data Solutions would be an asset
          • Ability to solve ambiguous and typically novel problems that require the effort of several engineers and organizational alignment
          • Experience in technical leadership of medium to large sized technical teams in delivering production solutions.
          • Strong communication skills, both written and spoken
          • Attention to details, high standards for quality.
          • Desire to learn, grow yourself and your team.
          • Passion for driving teams towards high performance and a deep pride in quality craftsmanship that delights users.
          • Writing and maintaining related documentation.
          • Ability to be an effective influencer on technology direction / an effective evangelist.
          • Helps recruit + groom technology leaders and future leaders.

          -

          -

          Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Principal-Data-Engineer-CID&A/571497617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-22T18:21:10.403Z,False,0,2,33,https://talenthub.vectorinstitute.ai/jobs/238529775-principal-data-engineer-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Principal-Data-Engineer-CID&A/571497617/,published,2023-06-22T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, -1467296c-f1a3-4cfe-9c9e-eec8fb06f132,239887327,Scotiabank,"Manager, Data Governance",on_site,Canada : Ontario : Toronto,2023-06-26T15:52:02.518Z,"

          -

          -

          -

          -

          Requisition ID: 180410

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

          -

          -

          Scotiabank is currently seeking a Manager, Data Governance to join our growing team! This role contributes to the overall success of the GBM Data Office ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. This role would also ensure all activities conducted are in compliance with governing regulations, internal policies, and procedures.

          -

          -

          Is this role right for you? You will be responsible for:

          -

          -
          • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
          • Ensures business stakeholder understanding, alignment and commitment to the objectives of the data governance and management program.
          • Understands business requirements and aligns them to the objectives of the data management program.
          • Design and document business requirements and functional requirements to support data-related initiatives for consumer data domains, including Finance, Credit Risk, Market Risk, Liquidity Risk, and other corporate functions (e.g., Compliance and Anti-Money Laundering) and their associated business areas/processes.
          • Conduct root cause analysis of data quality issues raised through automated validation rules and self-identified issues raised by data stewards, data consumers, and data producers.
          • Support data stewards in managing data governance and data management practices within their data domains and facilitate cross-domain initiatives and activities, as necessary.
          • Monitor data quality dashboards and exception reports, performing analysis to identify trends in data quality issues, perform root-cause analysis, establish data quality themes, and determine course(s) of action, creating action plans to resolve open items.
          • Supports business and regulatory initiatives driven by the Bank’s data management framework.
          • Assist with Data Office Annual Attestations and training requirements.
          • Prepare presentation materials for Risk working groups and committee meetings
          • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
          • Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct, and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
          • -
          -

          -

          Do you have the skills you need to succeed? We'd love to work with you, if you have:

          -

          -
          • Bachelor's degree
          • Global Banking and Markets experience or Capital Markets experience an asset
          • Demonstrate curiosity and problem-solving abilities
          • Solid Data analysis ability to explore data and aware of current data analytics trends and technology
          • Excellent team player, working with cross-departmental business & IT stakeholders
          • Project management experience, able to drive initiatives from planning through to execution
          • Knowledge of regulatory/liquidity reporting and business processes (e.g., FR 2052A, Liquidity Stress Test, Reg YY, etc.) an asset
          • Knowledge of requirements gathering, design methodology, and building test cases - detail oriented, analytical, and capable of investigating complex / technical issue
          • Experience in Regulations and Matters Requiring Attention an asset
          • -
          -

          -

          Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Manager%2C-Data-Governance/571595117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-26T20:23:44.289Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/239887327-manager-data-governance-at-scotiabank,https://jobs.scotiabank.com/job/Manager%2C-Data-Governance/571595117/,published,2023-06-26T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -a8df7c55-e341-414b-aa90-8d58b4b9b00e,236452843,Magna International,Programmer,on_site,"Vaughan, ONTARIO, CA, L4K 2K1",2023-06-15T16:04:02.940Z,"
          -
          -

          Qualifications

          -
          • Bachelor’s Degree or Diploma in Engineering or Computer Science or equivalent function-related training.
          • Understanding of Manufacturing Execution Systems, Warehouse Management Systems, Inventory control, and Automation.
          • Minimum 5 years related work experience in manufacturing environment.
          • Experience with SQL Server, MS-SQL queries and stored procedures, database design, networking.
          • Strong knowledge of Visual Basic, C#, .Net, Windows Forms, Web forms, MS Access, JavaScript, Power BI and Power Apps.
          • Computer literacy in business applications and knowledge of ERP systems.
          • Excellent organizational, planning, and English communication skills.
          • Exceptional analytical and creative problem-solving skills.
          • -
          -
          -
          -

          DESIRABLE ADDITIONAL QUALIFICATIONS

          -

          • Experience with Solidat MES.
          • Experience with PLCs (Allen Bradley, Omron, Siemens), Kepware OPC Client and Server.
          • Automotive manufacturing background, preferably within Magna.
          • Experience with Intermec label printers and Zebra scanners.
          • Exposure to ERP systems such as SAP, QAD or Trans4m.
          • Automotive manufacturing experience

          -
          -
          -

          MAIN TASKS & RESPONSIBILITIES

          -

          • Design, develop and implement applications based on customer requirements.
          • Overall responsibility for Kepware and SQL servers along with related applications.
          • Responsible for ensuring the integrity of production and shipping schedules in ERP and in related software.
          • Responsible for documenting Mytox application procedures, including communication, release verification, and updates.
          • Contribute to continuous improvement and cost reduction activities.
          • Performs all job functions abiding by the office/work standards, policies and procedures as outlines in the company handbook.
          • Performs all job functions in alignment with IATF 16949 quality management standards and ISO 14001
          • Actively participates in continuous improvement
          • Maintain 5S standards in working environment
          • Attend training based on Mytox’s internal training matrix
          • Performs all job functions in a safe, healthful and environmentally conscious manner, abiding by all health, safety and environment rules and regulations as outlined in the company handbook
          • Performs other duties as assigned or any reasonable request by management.

          -
          -
          -

          Additional Information

          -

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

          -
          -
          -

          Awareness. Unity. Empowerment.

          -

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

          -
          -
          ",,https://jobs.magna.com/job/Programmer/571218517/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-16T01:25:41.899Z,False,0,4,55,https://talenthub.vectorinstitute.ai/jobs/236452843-programmer-at-magna-international,https://jobs.magna.com/job/Programmer/571218517/,published,2023-06-15T16:04:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Manufacturing ,Mid-Senior Level,Bachelors Degree,New Posting, -9b1984da-08a5-45d2-b82f-1e5c9fee2aa1,232594927,BenchSci,"Engineering Manager, Machine Learning - Natural Language Processing (Remote)",full,"Toronto, Ontario Remote",2023-06-04T16:04:02.451Z,"
          We are looking for an Engineering Manager, Natural Language Processing to join our growing Machine Learning team and will report to the Director of Engineering, Machine Learning. You will lead a team that works on challenging problems to have an impact on the 41,000+ scientists across the world who rely on BenchSci for their research. As an Engineering Manager, NLP and Deep Learning, you will manage planning and prioritization of upcoming work, coordinate multiple engineering teams, and coach team members. You will work closely with tech leads and scientists to evaluate priorities, spot potential problems before they occur, and support the team's technical roadmap with planned engineering investments. Our ideal candidate is flexible, supportive and knows when to step in and work hands-on with their team and when to lean out and direct.
          -
          -

          You will:

          -
              -
            • Execution: Own and drive execution of product and technical roadmaps. You will maintain and oversee the quality and output for everything your team provides
            • -
            • Management: Take a leadership role in our hiring and onboarding processes. You will mentor your team, guide their growth, and manage performance with fair, inclusive, and equitable practices
            • -
            • Technical: Work with technical leads and engineers to provide guidance on technical solutions, backup plans, trade-offs, and design. You will ensure your experienced team provides quality, ensuring they feel a culture of risk-taking, and can experiment to find the best solutions. You will work hands on when needed to support your team's delivery goals.
            • -
            • Processes: Work with Science, Web Apps, and Data Teams to define and improve processes across the company with growth in mind
            • -
          -
          -
          -

          You have:

          -
              -
            • 4+ years working as a professional developer
            • -
            • 2+ years working as an engineering team manager
            • -
            • Experience hiring and building motivated engineering teams
            • -
            • Strong experience with Python and programming fundamentals
            • -
            • Extensive experience working with NLP (including NER) and PyTorch
            • -
            • Experience with data engineering and machine learning design patterns and best practices
            • -
            • Experience shipping machine learning into distributed, data-intensive production systems
            • -
            • Strong experience collaborating cross-functionally
            • -
            • Worked on projects that have gone from proof-of-concept through multiple maintenance stages
            • -
          -
          -
          -

          -

          -
          Benefits and Perks:
          -
          An engaging remote-first culture
          -
          A great compensation package that includes BenchSci equity options
          -
          15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
          -
          Unlimited flex time for sick days, personal days, religious holidays
          -
          Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
          -
          A $2000 CAD* Annual Learning & Development budget
          -
          A $1000 CAD* home office set-up budget
          -
          A $2500 CAD*wellness, lifestyle and productivity spending account for employees
          -
          Generous parental leave benefits with a top-up plan or paid time off options
          -
          *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.
          -

          -
          About BenchSci:
          -
          BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
          -
          Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
          -

          -
          Our Culture:
          -
          BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
          -
          We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
          -
          You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
          -

          -
          -Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
          -

          -
          -Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
          -

          -
          #LI-Remote
          -
          ",,https://jobs.lever.co/benchsci/c0c43041-28ab-4f31-a7b6-57d65f8419ff?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-07-05T19:46:57.497Z,False,0,2,55,https://talenthub.vectorinstitute.ai/jobs/232594927-engineering-manager-machine-learning-natural-language-processing-remote-at-benchsci,https://jobs.lever.co/benchsci/c0c43041-28ab-4f31-a7b6-57d65f8419ff,published,2023-06-04T16:04:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Manager,No Degree,New Posting, +",,https://careers.telus.com/job/Senior-Machine-Learning-Engineering-Consultant/568309817/,aitalent@vectorinstitute.ai,https://www.telus.com/en/about/careers,,,2023-08-03T19:03:40.303Z,False,0,10,98,https://talenthub.vectorinstitute.ai/jobs/243156886-senior-machine-learning-engineering-consultant-at-telus,,published,2023-07-04T19:03:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, 8eb5fb65-a683-4697-8e4d-9f1e4b88f235,242027109,BMO Financial Group,"Manager, Modelling & Analytics",on_site,"Ontario, Canada",2023-07-02T01:42:01.837Z,"

          Address:

          100 King Street West

          @@ -8111,7 +15028,7 @@ a8df7c55-e341-414b-aa90-8d58b4b9b00e,236452843,Magna International,Programmer,on

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

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

          -
          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Modelling---Analytics_R220026982?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-08-03T14:37:10.819Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/242027109-manager-modelling-analytics-at-bmo-financial-group,,published,2023-07-02T01:42:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +
          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Modelling---Analytics_R220026982?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-08-03T14:37:10.819Z,False,0,4,27,https://talenthub.vectorinstitute.ai/jobs/242027109-manager-modelling-analytics-at-bmo-financial-group,,published,2023-07-02T01:42:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, 6d5e2be3-7e94-4e3c-9a81-c721e28a0aa8,242607500,Scotiabank,Manager Business Intelligence,on_site,Canada : Ontario : Toronto,2023-07-03T15:52:03.325Z,"

          @@ -8129,83 +15046,269 @@ a8df7c55-e341-414b-aa90-8d58b4b9b00e,236452843,Magna International,Programmer,on
          • Bachelor’s Degree in Computer Science, Statistics, or related field
          • 4+ years of experience in financial services, business intelligence and/or data engineering
          • Must have a working knowledge of Retail Banking products: lending, deposits and complementary products and services offered by other financial institutions and niche competitors
          • Self-motivated, driven and impact-oriented
          • Demonstrated ability to analyze data, interpret results and communicate in simple terms
          • Practical experience with Excel, SQL, Power BI, data processing, database programming and data analytics
          • Sharp interpersonal skills, leadership and influencing capabilities in multi-cultural environments
          • Nice to have familiarity with DBA tasks and ETL tools
          • Fluency in Spanish is required

          -

          Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Toronto-Manager-Business-Intelligence-ON-M5H1H1/571773117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-03T14:39:26.933Z,False,0,2,2,https://talenthub.vectorinstitute.ai/jobs/242607500-manager-business-intelligence-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager-Business-Intelligence-ON-M5H1H1/571773117/,published,2023-07-03T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -070637bb-8992-40dd-ad28-47e6a5dac29e,243155637,Sun Life Financial,Senior Data Scientist (Health),on_site,"Toronto, ON, Canada",2023-07-04T17:57:36.419Z,"

          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

          -

          -

          -

          Job Description:

          -

          -

          Role Summary

          -

          -

          To support the vision of helping Canadians live healthier lives, Sun Life Health brings together Sun Life’s Group Benefits and Health Ecosystem businesses, including Lumino Health (an innovative platform launched in 2018). By uniting these two groups, Sun Life Health can deliver on transformative health solutions for both Clients and Canadians. If you’re passionate about improving health for Canadians, and like to take on big challenges in a supportive environment, the Data Science & Analytics (DSA) team in Sun Life Health is the right fit.

          -

          -

          The DSA team is responsible for:

          +

          Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Toronto-Manager-Business-Intelligence-ON-M5H1H1/571773117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-03T14:39:26.933Z,False,0,3,26,https://talenthub.vectorinstitute.ai/jobs/242607500-manager-business-intelligence-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager-Business-Intelligence-ON-M5H1H1/571773117/,published,2023-07-03T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +9974061a-cfe3-4e06-b4ea-25511c353059,243217471,Clearpath,Perception Team Lead - Localization and Mapping,on_site,"Ontario, Canada",2023-07-05T02:18:07.023Z,"

          Description

          +

          Position: Perception Team Lead - Localization and Mapping
          Location: Kitchener, Ontario
          Job Type: Full-Time Permanent
          Experience: 5-10 Years Relevant Work Experience
          Education: Graduate Degree in a related field
          Division: OTTO Motors

          +


          About OTTO Motors, a division of Clearpath Robotics

          +

          At OTTO Motors, we believe material handling is one of the most dangerous and unproductive parts of modern industrial operations. Our mission is to create safer, more productive and fulfilling workplaces with autonomous material handling technology. Most recently, OTTO Motors was recognized among the top 1% of Canada’s highest-performing global private companies by Communitech. Our loyal customers are also the most recognizable brands in the world and trust OTTO Motors to fulfill their mission-critical material handling needs: General Electric, Toyota, Hershey, Caterpillar, Berry Global, and more. For more information about us, visit www.ottomotors.com.

          +

          About the Job

          +

          We\'re looking for a driven, resourceful, motivated candidate for the Perception Team Lead position. This person will lead a team of developers to create and maintain the next generation of perception algorithms to tackle the toughest challenges in localization and mapping, state estimation, computer vision and more.

          +

          The localization and mapping team’s primary responsibility is the development of the core robotics software responsible for environmental perception, mapping and localization on all our vehicles. You will be responsible for evaluating state-of-the-art ideas from academia and industry, and taking these ideas out of the lab and into the real world, identifying opportunities to improve, and developing high-performance software to run in real time on the robots. As part of the perception team you will continue to advance the cutting edge of robotics research through collaboration with our academic partners and contributions to research publications and open source initiatives.

          +

          About You

          +

          For the role of Perception Team Lead we are seeking an experienced developer and leader to drive the development of state-of-the-art localization and mapping solutions for real world applications.

          +

          Your primary responsibilities will be:

            -
          • Being the analytics translators to identify and deliver high-impact data science use cases
          • -
          • Building dashboards and reports to monitor progress and help extract valuable insights from vast amounts of data
          • -
          • Partnering with other Analytics/IT groups to leverage expertise of Data Engineers/Developers to explore and solve complex business problems
          • -
          • Supporting various teams within Sun Life Health to leverage best practices associated with data management and develop processes that support data driven decision making
          • +
          • Lead a team of exceptional perception developers to create robust innovative solutions to the problems of robotic perception
          • +
          • Development of custom SLAM, localization, computer vision, and perception algorithms
          • +
          • Evaluation of new algorithms and sensing technology
          • +
          • Assisting with concept development for new products and projects
          • +
          • Supporting deployment and testing of robotic systems
          • +
          • Supervising and mentoring team members
          -

          -

          The Senior Data Scientist’s primary focus is to lead the data and analytics initiatives for digital health products. in this role, you will be a thought partner and work closely with the assigned portfolio to assess data and analytics requirements. You will need to gain an in-depth understanding of the business needs, overall objectives and goals of different health initiatives, in order to propose use cases, ideas and solutions that enable the success of the relevant products.

          -

          -

          What Will You Do?

            -
          • Work with product to provide data and analytics expertise during discovery and to ensure analytics requirements are in place for new features/enhancements
          • -
          • Work with operations to ensure ongoing data needs are met by dashboards and to assess data and analytics ad-hoc needs
          • -
          • Identify potential data science/machine learning opportunities, create and execute end to end plan for implementation and delivery
          • -
          • Participate in the technical design, development, and testing of models/analysis and in the creation of user documentation and processes
          • -
          • Create and maintain ETL processes and automated dashboards that can be leveraged to find insights
          • -
          • Develop and present reporting solutions to key stakeholders and partners
          • -
          • Learn about business processes to analyze, interpret, and advise managers on analytical findings
          • -
          • Collaborate with stakeholders to ensure effective use of reporting and analysis, and provide support if needed
          • -
          • Understand and incorporate technology best practices with a primary focus on Tableau and Python
          • -
          • Diligently perform quality assurance and risk assessment guidelines to minimize operational, reputation, and legal risk
          • +
          • Collaboration with internal teams including controls and navigation, as well as academic and industrial partners
          • +
          • Stay up to the date with the latest developments from academia and industry
          -

          -

          What Do You Need To Succeed?

          +

          Skills and experience:

            -
          • Coding experience preferably in Python (minimum 3 years)
          • -
          • Experience with developing machine learning, statistical and optimization models and creating/maintaining visualizations and dashboards in Tableau (minimum 2 years)
          • -
          • Familiar with data science project life cycle
          • -
          • Strong problem solving and analytical skills
          • -
          • Demonstrated ability to produce meaningful results from data
          • -
          • Proven experience consolidating and analyzing data sources
          • -
          • Excellent written and verbal communication skills with experience in relaying complex concepts to non-technical users
          • -
          • Comfortable learning new applications quickly with minimal direction
          • -
          • Proven ability to work collaboratively within a cross functional team environment
          • -
          • Ability to succeed in a dynamic, fast-paced environment, and quickly find alternative solutions to business and data challenges
          • -
          • Attention to detail and in-depth planning, organizational and time management skills
          • -
          • Experience working with relational databases and creating data models with efficient design
          • -
          • Technical mindset with a degree in Computer Science, Statistics, Mathematics, Engineering, or other data science related fields, and 3-5 years of relevant experience. A graduate degree would be an asset, a combination of education and work experience will also be considered.
          • -
          • Experience with AWS SageMaker would be an asset.
          • -
          • Experience in healthcare and familiarity with health data would be an asset.
          • +
          • Graduate degree in engineering/CS or a related field
          • +
          • Practical and theoretical knowledge in at least one or more areas of: state estimation, computer vision, SLAM, localization, mapping, or sensor modeling.
          • +
          • Strong software development skills in modern C++
          • +
          • Understanding of software development workflows, life cycles and development methodologies and tools.
          • +
          • Excellent leadership, teamwork, and communication skills
          • +
          • Ability to independently develop software development plans, including scope, timelines, resource estimates, and test procedures.
          -

          -

          Unique Requirements

          +

          Bonus points for:

            -
          • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)
          • -
          • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)
          • +
          • Hands-on experience with real world autonomous systems
          • +
          • Experience with leading software development teams.
          • +
          • Experience writing efficient, high performance code
          • +
          • ROS, Gazebo, OpenCV and PCL experience
          • +
          • Familiarity with graph optimization techniques and libraries
          • +
          • Understanding of sensor error modeling, particularly laser rangefinders and vision systems
          +

          Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, gender identity/expression, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

          ",,http://jobs.jobvite.com/clearpath/job/oWdumfwJ,feed-importer@jobboard.io,,,,2023-08-05T17:29:00.000Z,False,0,2,21,https://talenthub.vectorinstitute.ai/jobs/243217471-perception-team-lead-localization-and-mapping-at-clearpath,,published,2023-07-05T02:18:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Manufacturing ,Team Lead,Masters Degree,New Posting, +1467296c-f1a3-4cfe-9c9e-eec8fb06f132,239887327,Scotiabank,"Manager, Data Governance",on_site,Canada : Ontario : Toronto,2023-06-26T15:52:02.518Z,"

          +

          +

          +

          +

          Requisition ID: 180410

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

          +

          +

          Scotiabank is currently seeking a Manager, Data Governance to join our growing team! This role contributes to the overall success of the GBM Data Office ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. This role would also ensure all activities conducted are in compliance with governing regulations, internal policies, and procedures.

          +

          +

          Is this role right for you? You will be responsible for:

          +

          +
          • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
          • Ensures business stakeholder understanding, alignment and commitment to the objectives of the data governance and management program.
          • Understands business requirements and aligns them to the objectives of the data management program.
          • Design and document business requirements and functional requirements to support data-related initiatives for consumer data domains, including Finance, Credit Risk, Market Risk, Liquidity Risk, and other corporate functions (e.g., Compliance and Anti-Money Laundering) and their associated business areas/processes.
          • Conduct root cause analysis of data quality issues raised through automated validation rules and self-identified issues raised by data stewards, data consumers, and data producers.
          • Support data stewards in managing data governance and data management practices within their data domains and facilitate cross-domain initiatives and activities, as necessary.
          • Monitor data quality dashboards and exception reports, performing analysis to identify trends in data quality issues, perform root-cause analysis, establish data quality themes, and determine course(s) of action, creating action plans to resolve open items.
          • Supports business and regulatory initiatives driven by the Bank’s data management framework.
          • Assist with Data Office Annual Attestations and training requirements.
          • Prepare presentation materials for Risk working groups and committee meetings
          • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
          • Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct, and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
          • +
          +

          +

          Do you have the skills you need to succeed? We'd love to work with you, if you have:

          +

          +
          • Bachelor's degree
          • Global Banking and Markets experience or Capital Markets experience an asset
          • Demonstrate curiosity and problem-solving abilities
          • Solid Data analysis ability to explore data and aware of current data analytics trends and technology
          • Excellent team player, working with cross-departmental business & IT stakeholders
          • Project management experience, able to drive initiatives from planning through to execution
          • Knowledge of regulatory/liquidity reporting and business processes (e.g., FR 2052A, Liquidity Stress Test, Reg YY, etc.) an asset
          • Knowledge of requirements gathering, design methodology, and building test cases - detail oriented, analytical, and capable of investigating complex / technical issue
          • Experience in Regulations and Matters Requiring Attention an asset
          • +
          +

          +

          Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Manager%2C-Data-Governance/571595117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-26T20:23:44.289Z,False,0,2,25,https://talenthub.vectorinstitute.ai/jobs/239887327-manager-data-governance-at-scotiabank,https://jobs.scotiabank.com/job/Manager%2C-Data-Governance/571595117/,published,2023-06-26T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +2fc9b394-afee-480c-95b9-77532e025c89,238529775,Scotiabank,Principal Data Engineer - CID&A,on_site,Canada : Ontario : Toronto,2023-06-22T15:52:03.524Z,"

          +

          +

          +

          +

          Requisition ID: 180122

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

          +

          +

          Purpose:

          +

          +


          The CID&A (Customer Insights, Data & Analytics) team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is produced, consumed, and managed at an enterprise level to drive business value. The aim is to provide a truly productized offering of re-usable data that can be delivered iteratively through a streamlined process and framework in order to meet the velocity that will allow data consumers to focus on delivering business value. We are looking to build our delivery team with influencers, makers, creators and industry leaders who will drive us forward.

          +

          +


          The role of the Principal Data Engineer operates within the Data Enablement & Architecture team. This valuable member of the team will be the Technical Lead responsible for creating scalable automated systems for re-usable data assets, pipelines and services for the broad enterprise use. This role is focused on creating transformative change in how our organization interacts with data.

          +

          +


          A Day in the life:

          +


          Working on the DEA (Data engineering & architecture) team within Scotiabank’s Data Office, you will meet individuals from around the bank. Working specifically with our cloud technologies you will be responsible for bringing the bank’s data together on cloud. As the Technical Lead of this product line, you’ll manage both the technical direction and engineering team on a day-to-day basis. You will also be instrumental in product design, working with Product Managers and Business Analysts to support the product roadmap and backlog. You will be a great fit if you are open to mentoring others, and passionate about implementing good design and development practices. This is an opportunity to grow a young product team into a key component of the bank’s strategic future.

          +

          +


          Key Accountabilities:

          +


          • Lead a high-functioning Product Engineering Team!
          • Design, manage, and maintain data services and platforms to enable enterprise-wide use of data
          • Be an evangelist and drive adoption of data services and automation tools
          • Work closely with partner teams in Analytics, IT, various lines of business to create reusable assets that drive real business outcomes
          • Participate in design discussions focused on scalability and design and implementation best practices.
          • Work with other lead engineers and architects on breaking-down, scoping, and estimating tasks.
          • Participate in planning and retrospective sessions, attend stand-ups, etc.
          • Provide mentorship, peer review, and code review on data services & DevOps practices.
          • Lead one or more products/services and define functions or features for data platforms.
          • Support and maintain a successful product

          +

          +


          Functional Competencies:

          +


          • 5+ years of experience in building and delivering scalable, enterprise-level software solutions
          • 5+ years of software development and infrastructure experience, using a variety of object-oriented programming languages (e.g. Scala, Java, Python)
          • 3+ years of experience leading and managing software development teams
          • Proven experience designing service and microservice based architectures
          • Strong knowledge and understanding of container and micro-services technologies (Docker, Kubernetes, APIM); domain expertise in data platform features and capabilities.
          • Functional experience developing applications using Cloud technologies (e.g. Google Cloud)
          • Proven experience working with big data technologies (e.g. Spark, Airflow, MinIO, Rancher)
          • Proven experience working with relational databases (DB2, MySQL, PostgreSQL).
          • Strong Understanding of CI/CD (Jenkins, Git, Bitbucket, other).
          • Experience working with traditional data warehousing / ETL tools (Talend, Informatica, DataStage, other).
          • Experience in software engineering best practices such as code reviews, testing frameworks, maintainability and readability
          • Knowledge and understanding of analytics & data science life cycle
          • Experience in Agile/Product/Architecture.
          • Experience in Cloud Data Solutions would be an asset
          • Ability to solve ambiguous and typically novel problems that require the effort of several engineers and organizational alignment
          • Experience in technical leadership of medium to large sized technical teams in delivering production solutions.
          • Strong communication skills, both written and spoken
          • Attention to details, high standards for quality.
          • Desire to learn, grow yourself and your team.
          • Passion for driving teams towards high performance and a deep pride in quality craftsmanship that delights users.
          • Writing and maintaining related documentation.
          • Ability to be an effective influencer on technology direction / an effective evangelist.
          • Helps recruit + groom technology leaders and future leaders.

          +

          +

          Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Toronto-Principal-Data-Engineer-CID&A-ON-M5H1H1/571497617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-22T18:21:10.403Z,False,0,2,52,https://talenthub.vectorinstitute.ai/jobs/238529775-principal-data-engineer-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Principal-Data-Engineer-CID&A-ON-M5H1H1/571497617/,published,2023-06-22T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, +77e8a4b9-8410-4610-95d8-79e528302b90,246294057,Scotiabank,"Senior Manager, Financial Crimes Risk Management Models and Analytics - Client Risk Rating",on_site,Canada : Ontario : Toronto,2023-07-13T15:52:02.660Z,"

          +

          +

          +

          +

          Requisition ID: 180969

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

          +

          +

          Purpose of Job

          +

          +

          We are seeking a highly analytical and skilled Senior Manager to join our team. The ideal candidate will have a strong background leading and managing a team of Data Scientists completing data analysis, statistical modelling, and machine learning. The Senior Manager will be responsible for leading the design, enhancements, and implementations of data-driven solutions supporting the Bank's AML/ATF Client Risk Rating models.

          +

          +

          This role contributes to the overall success of Global Compliance’s AML/ATF team by analyzing and improving Client Risk Rating models thereby enhancing operating efficiency and is conducted in compliance with governing regulations, internal policies, and procedures.

          +

          +

          Key Job Accountabilities

          +

          +
          • Lead and manage a team applying a range of modeling techniques from basic statistical models to AI and Machine Learning, to develop, maintain and implement models for client risk rating case generation in support of Scotiabank’s AML/ATF program
          • Oversee the creation and maintenance of documentation for models and for the results data analysis
          • Collaborate and coordinate with project teams and teams from model validation, internal audit, and external audit to ensure that models meet all legal and regulatory requirements
          • Communicate complex data findings and insights to technical and non-technical stakeholders
          • Lead the communication with first and second lines of business and other stakeholders, and recommending changes to AML/ATF client risk rating models as appropriate
          • Lead the communication with model users to ensure that model limitations are properly understood, and that models meet model governance/usage requirements
          • +
          +

          +

          Skills, Experiences and Functional Competencies

          +

          +
          • Experience leading a team of Data Scientists, having statistical modeling and data science methods; programming in Python (familiarity working with popular libraries for data science, machine learning, and visualization: such as Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn, ggplot2), querying using SQL or any SQL-like language is preferred, experience with Apache Spark is beneficial
          • Experience with databases such as Oracle or SQL Server, as well as big data technologies such as Hadoop, Hive, Spark, or other distributed computing frameworks
          • Experience with cloud-based infrastructure and tools, (specifically GCP) and either Linux and/or BitBucket is beneficial
          • Nice to have experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch
          • Excellent communication (both oral and written) and collaboration skills, with the ability to work effectively in a hybrid team environment
          • +
          +

          +

          Education and Other Requirements

          +

          +
          • Master’s degree or higher within STEAM, (science, technology, engineering, analytics, or mathematics), statistics, data science, artificial intelligence, computer science, computer engineering, financial modelling or related
          • Fluency in both English and Spanish is preferred
          • +
          +

          +

          +

          #LI-hybrid

          +

          +

          Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Financial-Crimes-Risk-Management-Models-and-Analytics-Client-Risk-Rating-ON-M5C2W1/572047217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-16T22:35:40.452Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/246294057-senior-manager-financial-crimes-risk-management-models-and-analytics-client-risk-rating-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Financial-Crimes-Risk-Management-Models-and-Analytics-Client-Risk-Rating-ON-M5C2W1/572047217/,published,2023-07-13T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Masters Degree,New Posting, +9e0a4469-b6ff-43e9-9f1a-5984a514273e,236958274,Vector Institute,HPC Systems Developer,on_site,"Ontario, Canada",2023-06-17T02:12:03.824Z,"

          JOB DESCRIPTION

          +

          HPC SYSTEMS DEVELOPER

          +

          POSITION OVERVIEW

          +

          The Vector Institute is seeking an HPC Systems Developer to join our growing team in Toronto as we continue the work of making Canada a centre of expertise for AI in the world.

          +

          The incumbent in this role will participate in the building and maintenance of High-Performance Computing environments for world class research in Machine Learning.

          +

          The HPC Systems Developer will take responsibility in managing performance metrics, systems reporting, custom development tasks, and work with teams within and outside Vector to provide insight into delivering the best computational experience for our researchers.

          +

          We are seeking a highly motivated Systems Developer with a hands-on, problem-solving approach to managing and troubleshooting high-tech environments. The role will be a combination of remote and on-site at the office.

          +

          The Vector Institute supports a flexible work environment. This position requires a reasonable degree of on-site work which will vary depending on the project commitments and organizational activities. As a result, the ability to work remotely will fluctuate and will be determined in accordance with current business needs

          +

          KEY RESPONSIBILITIES:

          +
            +
          • Design, develop, and maintain critical complex software solutions in support of HPC infrastructure monitoring;
          • +
          • Maintain up to date reporting of HPC resource utilization;
          • +
          • Build tools to assist in automation of infrastructure management;
          • +
          • Collaborate with partner organizations and initiatives to develop cross-organizational software solutions;
          • +
          • Document every facet of software solutions as a reference for further maintenance and upgrades;
          • +
          • Provide input for preventing future problems as well as incorporating solutions to current concerns; and,
          • +
          • Experiment with new technologies relevant to the area of development; recommend improvements to techniques, procedures or other aspects of technical development.
          • +
          +

          +

          SUCCESS MEASURES:

          +
            +
          • Ensures the smooth functioning of the research systems, by undertaking detailed reporting of HPC operations, job statistics and performance metrics.
          • +
          • Researchers and the enterprise operations feel supported in all other computing needs.
          • +
          • Builds and maintains tools to inform the evolution of our environment, such as reporting systems, websites and metrics summarizations.
          • +
          +


          +

          PROFILE OF THE IDEAL CANDIDATE:

          +
            +
          • Degree or diploma in computer science or engineering or equivalency through more than five years systems programming in a UNIX/Linux environment or complex computing environment;
          • +
          • Advanced working knowledge with mainstream programming languages (python, javascript, java, c/c++, etc) and LAMP stack;
          • +
          • Experience with production software development and maintenance, including Git/GitHub workflows and continuous integration systems;
          • +
          • More than five years of proven, hands-on experience: Linux/UNIX systems programming preferably in a research environment; (Ubuntu, RedHat, CentOS);
          • +
          • Experience maintaining application tools and databases, MySQL, PostgreSQL;
          • +
          • Proven programming/scripting skills as it pertains to infrastructure management and monitoring;
          • +
          • Managing and troubleshooting software and code using mostly open-source software
          • +
          • Demonstrated ability to learn quickly;
          • +
          • Demonstrated ability to prioritize tasks and resolve problems in a timely manner;
          • +
          • Ability to work autonomously, multi-task and work in a fast-paced and stressful environment;
          • +
          • Strong attention to detail;
          • +
          • Ability to write technical documentation; and,
          • +
          • Excellent verbal and written communication skills.
          • +
          +

          Qualifications and Experiences below are considered an asset:

          +
            +
          • Hands-on experience using an HPC workload management systems such as, Slurm, SGE, Moab/Torque or equivalent scheduler
          • +
          • Good understanding of file systems such as ZFS and GPFS
          • +
          • Expertise in analyzing and reporting on large and volatile data sets
          • +
          ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=9200420850870_2&jobId=447438&lang=en_CA&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2023-07-19T18:42:37.829Z,False,0,1,37,https://talenthub.vectorinstitute.ai/jobs/236958274-hpc-systems-developer-at-vector-institute,,published,2023-06-17T02:12:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Mid-Senior Level,Bachelors Degree,New Posting, +c9a866de-b9d4-4ca7-b8c6-c7b364a4fbc8,243954901,BMO Financial Group,"Senior Manager, Retail Risk Modeling & Analytics",on_site,"Ontario, Canada",2023-07-07T01:42:01.516Z,"
          +

          Application Deadline:

          07/18/2023

          -

          The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

          -

          -

          Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

          -

          -

          Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

          -

          -

          At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

          -

          -

          We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

          -

          -

          Salary Range:

          -

          74,100/74 100 - 120,800/120 800

          -

          -

          Job Category:

          -

          Advanced Analytics

          -

          -

          Posting End Date:

          -

          16/07/2023

          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Scientist--Health-_JR00076952?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f,aitalent@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2023-08-03T17:57:46.393Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/243155637-senior-data-scientist-health-at-sun-life-financial,,published,2023-07-04T17:57:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +

          Address:

          33 Dundas Street West

          +

          +

          Job Family Group:

          Data Analytics & Reporting

          +

          +

          +

          +

          Supports the research and development of quantitative risk modeling methodologies and related strategies in support of the management of risks arising from business/group portfolios and products. Applies knowledge of analytics algorithms and technologies to develop forward looking models and analytic solutions that ensure risks are properly identified, understood and risk related strategies are enabled. Summarizes statistical findings, draws business conclusions, and presents actionable business recommendations used in the management of risks and related activities e.g. associated internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations. Drives innovation through the development of data products that can be leveraged across the organization and establishes best practices as well influences data governance guidelines and policies. May specialize in one or more risk categories e.g. Credit Risk, Market Risk, Interest Rate Risk, etc.

          +
            +
          • Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
          • +
          • Ensures alignment between values and behaviour that fosters diversity and inclusion.
          • +
          • Regularly connects work to BMO\'s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.
          • +
          • Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders.
          • +
          • Attracts, retains, and enables the career development of top talent.
          • +
          • Improves team performance, recognizes and rewards performance, coaches employees, supports their development, and manages poor performance.
          • +
          • Provides strategic input into business decisions as a trusted advisor.
          • +
          • Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group.
          • +
          • Acts as a subject matter expert on relevant regulations and policies.
          • +
          • May network with industry contacts to gain competitive insights and best practices.
          • +
          • Acts as a subject matter expert on relevant regulations and policies.
          • +
          • Oversees the development and delivery of tools and training reporting tools and self-serve analytics by non-analytical end users.
          • +
          • Influences and negotiates to achieve business objectives.
          • +
          • Identifies emerging issues and trends to inform decision-making.
          • +
          • Manages resources and leads the execution of strategic initiatives to deliver on business and financial goals.
          • +
          • Recommends business priorities, advises on resource requirements and develops roadmap for strategic execution.
          • +
          • Develops and manages comprehensive information management systems; designs and/or leads initiatives to improve processes, analysis and reporting.
          • +
          • Conducts independent analysis and assessment to resolve strategic issues.
          • +
          • Identifies emerging issues and trends to inform decision-making.
          • +
          • Acts as the prime subject matter expert for internal/external stakeholders.
          • +
          • Ensures alignment between stakeholders.
          • +
          • Builds effective relationships with internal/external stakeholders.
          • +
          • Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group.
          • +
          • Defines business requirements for analytics & reporting to ensure data insights inform business decision making.
          • +
          • Develops and applies the framework for databases; oversees database management in adherence with data governance standards.
          • +
          • Monitors and tracks performance, and addresses any issues.
          • +
          • Leads the execution of ad-hoc analytics and reporting solutions and cyclical programs; assesses and adapts as needed to ensure quality of execution (8,9).
          • +
          • Leads change management programs of varying scope and type, including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
          • +
          • Leads the development of the communication strategy focusing on positively influencing or changing behaviour.
          • +
          • Collaborates across BMO to develop communications strategies and ensure consistency of messaging, in order to positively influence or change behaviour.
          • +
          • Leads the execution of operational programs; assesses and adapts as needed to ensure quality of execution.
          • +
          • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
          • +
          • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
          • +
          • Works with stakeholders to identify the business requirements, understand the distinct problems, and the expected outcome and models and frames business scenarios which impact critical business processes and/or decisions.
          • +
          • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
          • +
          • Applies scripting/programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
          • +
          • Develops agreed analytical solution by applying suitable statistical techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, artificial intelligence) to test, verify, refine hypotheses.
          • +
          • Summarizes statistical findings and draws conclusions and presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
          • +
          • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
          • +
          • Performs experimental design approaches to validate finding or test hypotheses.
          • +
          • Uses the appropriate algorithms to discover patterns.
          • +
          • Builds effective relationships with internal/external stakeholders. Ensures alignment between stakeholders.
          • +
          • Supports development of tools and delivers training for data and analytics.
          • +
          • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
          • +
          • Leads/participates in the design, implementation and management of core business/group processes.
          • +
          • Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
          • +
          • Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
          • +
          • Implements changes in response to shifting trends.
          • +
          • Broader work or accountabilities may be assigned as needed.

            Qualifications:

            +
          • +
          • Typically 7+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
          • +
          • Data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS.
          • +
          • Relevant experience in risk, capital, and/or treasury management is preferred.
          • +
          • A professional designation in Finance or Risk management is preferred.
          • +
          • Seasoned professional with a combination of education, experience and industry knowledge.
          • +
          • Verbal & written communication skills - In-depth / Expert.
          • +
          • Analytical and problem solving skills - In-depth / Expert.
          • +
          • Influence skills - In-depth / Expert.
          • +
          • Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.
          • +
          • Able to manage ambiguity.
          • +
          • Data driven decision making - In-depth / Expert.
          • +
          +

          +

          +

          We’re here to help

          +

          +

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

          +

          +

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

          +

          +

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

          +

          +

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

          +

          +

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

          +
          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Manager--Retail-Risk-Modeling---Analytics_R230010200-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-08-16T16:49:06.279Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/243954901-senior-manager-retail-risk-modeling-analytics-at-bmo-financial-group,,published,2023-07-07T01:42:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +90a32278-c622-447f-a065-0bcb1d09bd0c,243861004,Scotiabank,"Associate, Client Insights and Analytics - Toronto",on_site,Canada : Ontario : Toronto,2023-07-06T15:52:03.910Z,"

          +

          +

          +

          +

          Requisition ID: 180816

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

          +

          +

          Purpose:

          As an Associate in the Client Insights and Analytics team, you will contribute to the success of the Global Banking and Markets (GBM) division of Bank of Nova Scotia. The ideal candidate will be a dynamic person who thrives in a fast-paced environment and enjoys solving complex problems. You will be assigned to cover a product within the Wholesale Banking division and will have experience leading multi-functional, multi-geography teams.

          The position will require you to translate business needs into specifications and leading data analysis and transformation to drive enhanced analytics, client value reporting, customer profitability, and sales/client performance management. You will be familiar with Wholesale Banking products, have a university degree in a in related field, or related certification (CFA), coupled with technical skills with such tools and applications as PowerBI, Tableau or CRM (Salesforce).

          If you are a creative, self-starting, curious, and results-oriented individual who thrives in solving complex business and system problems this role is for you!

          Is this role right for you?

          +
          • You will help develop and drive Client Strategy and support it through the collection of business requirements for support teams to build operational processes which extract, transform, and map structured and unstructured data into schemas for the purpose of consistent reporting and analytics.
          • Lead project management activities for strategic business initiatives from Front Office (Corporate and Investment Banking, Capital Markets) and technology (Salesforce, Data Engineering etc.)
          • Support projects, providing detailed business and data analysis, program specifications and business requirements for development of solutions for the sourcing, delivery, and processing of internal/external data sources within the technical architecture to support client profitability and analytics for wholesale customers.
          • Collaborates with business partners and technology teams to deliver complex, creative and robust data solutions. This includes development of powerful reporting/analysis against big data required to ensure accessibility for analytics and reporting by the data teams, as well as providing oversight of reporting solutions using Tableau, Power BI, and/or other industry standard BI tools.
          • Expected to function independently by combining business knowledge and technical expertise to recommend, develop and implement data, reporting and analytics solutions.
          • Be a champion of change in Global Banking and Markets, for helping to evolve the data and analytics driven culture.
          • Drives the implementation of new processes, improving existing methodologies and utilizes cutting-edge technology to expedite delivery of new/enhanced products to our customers.
          • Comfortable working in a sales and trading environment to enhance the value we deliver to our customers.
          • Ensure all activities conducted are compliant with governing regulations, internal policies and procedures, while championing a customer focused culture that deepen client relationships and leverage broader Bank relationships, systems and knowledge. They understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions. They also actively pursue effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational compliance of AML/ATF/sanctions and conduct risk.
          • +
          +


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

          +
          • Bachelor / Master’s degree in a Finance/data science/analytics discipline.
          • 5+ years of progressive experience in data and analytics field, or sales background in Corporate Investment Banking, Global Capital Markets.
          • Excellent leadership skills in driving senior leaders to consensus and managing complex teams.
          • Excellent written and oral communication, strong analytical, problem-solving, and troubleshooting skills to identify/document critical issues, prioritize, and apply technology and industry practices in ways that are most beneficial to GBM.
          • Self-starting, results-oriented, and highly motivated individual with the ability to work in a fast-paced, agile environment.
          • Working knowledge of Salesforce and BI tools like Tableau and PowerBI would be a strong asset.
          • +
          +

          +

          Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Toronto-Associate%2C-Client-Insights-and-Analytics-Toronto-ON-M5H1H1/571890617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-08-16T16:44:46.360Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/243861004-associate-client-insights-and-analytics-toronto-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Associate%2C-Client-Insights-and-Analytics-Toronto-ON-M5H1H1/571890617/,published,2023-07-06T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, c7b3331e-c7c7-4567-97ea-090258d470b2,237889606,Vector Institute (Internal Opportunities Only),Anomaly Detection Workshop - Teaching Assistant (Development & Delivery),full,Anywhere,2023-06-20T20:19:30.717Z,"

          Please note this position will not be formally contracted until the enrollment is finalized and the program is confirmed as running. Confirmation is expected on or before August 8, 2023. The decision on whether to proceed with the program is dependent on the number of participant registrations (i.e., a minimum number of participants must be registered).

          We are advertising for this position in advance of August 8, 2023, so we are able to move quickly on staffing and developing the program content once confirmed. Any work done prior to the program confirmation will be remunerated accordingly, even if the program is cancelled.

          Please note that the Vector Institute will conduct an evaluation of workshop participants to both evaluate the performance of the Teaching Assistants, as well as consider program improvements for future iterations.

          @@ -8268,40 +15371,6 @@ c7b3331e-c7c7-4567-97ea-090258d470b2,237889606,Vector Institute (Internal Opport

          To apply, please submit your CV and cover letter to learn@vectorinstitute.ai.

          Interested parties are strongly encouraged to apply as soon as possible. Applications will be reviewed on a rolling basis until filled.

          ",learn@vectorinstitute.ai,,vyry@vectorinstitute.ai,https://store.vectorinstitute.ai/,,,2023-07-20T20:43:42.724Z,False,9,0,77,https://talenthub.vectorinstitute.ai/jobs/237889606-anomaly-detection-workshop-teaching-assistant-development-delivery-at-vector-institute-internal-opportunities-only,,unpublished,2023-06-20T20:19:00.000Z,website-existing-job-slot,Scaling (20-499),Vector Quick Apply,Education,Associate,Masters Degree,New Posting, -19886bdb-587c-4402-9b78-d820d2aeb9aa,234341252,Multiverse Computing,Tensor Network Engineer Intern,hybrid,"Toronto, ON, Canada",2023-06-09T14:44:48.159Z,"

          This is a 8 month internship programme funded partly through the Mitacs program
          Salary budget for eight month is 20,000 CAD

          This position is based in Toronto, Canada and we work in Hybrid work environment requires 3 days a week from the office and up to 2 from home. Please apply if it works for you.

          As Tensor Network Engineer Intern, you will

          -
            -
          • Join a world-class team of Quantum experts with an extensive track record in both academia and industry.
          • -
          • Work with real world-wide customers across several industries.
          • -
          • Collaborate closely with the founding team in a fast-paced startup environment.
          • -
          • Implementations, Improvements/Optimisation
          • -
          -
          YOUR PROFILE
          -

          Required Qualifications

          -
            -
          • -Masters or PHD degree in Quantum Physics, Mathematics or related field or completing the same by Dec 2023.
          • -
          • Demonstrated knowledge and experience with Tensor Network numerical simulation methods, with a focus on machine learning and optimization
          • -
          • Python programming language
          • -
          • Strong basis in linear algebra and expertise in math for quantum computing and tensor algebraic methods.
          • -
          • Familiarity with Tensor Network libraries and/or relevant functions (ncon, cuTensorNet, TeNPy, Uni10, ITensor, TNT, or others).
          • -
          • Ability to work with a diverse team of people, both in-person and through online resources
          • -
          • Perfect command of English language
          • -
          -


          Preferred Qualifications

          -
          • Deep learning experience (tensorflow/pytorch)
          -
          WHY US?
          -

          Perks & Benefits

          -
            -
          • A mix of remote and office work.
          • -
          • Flexible working hours.
          • -
          • Equal Pay
          • -
          • Working in a high paced environment, working on cutting edge technologies.
          • -
          • Career plan. Opportunity to learn and teach.
          • -
          • Progressive Company. Happy people culture.
          • -
          -

          Apply for this position

          -
          ABOUT US
          -

          Multiverse Computing is a well-funded and fast growing deep-tech company founded in 2019. We are one of the few companies working with Quantum Computing and the biggest Quantum Software company in the EU. The headquarters are in Spain with additional offices in Canada, France and Germany.
          We provide hyper-efficient software to companies wanting to gain an edge with quantum computing and artificial intelligence. Our product, Singularity, is a software as a service platform that contains quantum and quantum-inspired algorithms developed and patented through proof-of-concept trials we have been performing for industrial and service clients. We work in finance, energy, manufacturing, cybersecurity and many more industries.
          You will be working alongside world leading experts to build solutions that tackle real life issues. We look for passionate people that want to grow in an ethics driven environment, promoting sustainability and diversity. We aim to continue building our truly inclusive culture - come and join us!

          ",sonika.trehon@multiversecomputing.com,,sonika.trehon@multiversecomputing.com,https://multiversecomputing.com/,,,2023-07-12T19:03:06.980Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/234341252-tensor-network-engineer-intern-at-multiverse-computing,,unpublished,2023-06-09T14:44:00.000Z,website,Scaling (20-499),Vector Quick Apply,"Financial Services, Software, Technology (Product Development)",Internship/Co-op,Masters Degree,New Posting, 4d28ee37-ba66-4881-ade4-56b9fa8783ee,237886659,Vector Institute (Internal Opportunities Only),Anomaly Detection Workshop - Instructor,full,Anywhere,2023-06-20T20:08:21.401Z,"

          Please note this position will not be formally contracted until the enrollment is finalized and the program is confirmed as running. Confirmation is expected on or before August 8, 2023. The decision on whether to proceed with the program is dependent on the number of participant registrations (i.e., a minimum number of participants must be registered).

          We are advertising for these positions in advance of August 8, 2023, so we are able to move quickly on staffing and developing the program content once confirmed. Any work done prior to the program confirmation will be remunerated accordingly, even if the program is cancelled.

          Please note that the Vector Institute will conduct an evaluation of workshop participants to both evaluate the performance of the instructors, as well as consider program improvements for future iterations.

          @@ -25048,6 +32117,555 @@ eb94bf2d-cd50-4c4d-9462-afc06b8b8756,147524283,Omers,"Student, Data & Analytics

          Inclusiveness

          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

          ",,https://jobs.td.com/en-CA/jobs/16530932/data-analytic-data-science-advance-analytics-associate-graduate-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-09-22T20:33:00.000Z,True,0,38,222,https://talenthub.vectorinstitute.ai/jobs/145963902-data-analytic-data-science-advance-analytics-associate-graduate-at-td-bank-group,,expired,2022-08-23T20:33:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Masters Degree,New Posting, +3a1daefe-1544-4109-82f9-3513e4a93bac,212882758,EY,Senior Manager - Data Architect - Toronto,on_site,Toronto,2023-04-06T17:37:01.634Z,"

          Senior Manager - Data Architect - Toronto

          Location: Toronto
          Other locations: Primary Location Only
          Date: Apr 27, 2023
          At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
          +
          +

          The opportunity

          +

          +

          We are seeking an experienced Data Architect that can translate business strategies and requirements into world-class technical solutions, applications, and process designs. The role assumes the responsibility for all technical aspects of solution delivery, from inception through design to implementation. They will conduct regular detailed solution analysis and provide expert judgment pertaining to highly complex technical issues including all aspects related to development, infrastructure, data, and configuration management perspectives. This role requires a rare blend of skills normally found in the specialized roles of Cloud Architect, Data Analyst, Data Engineer and Reporting Specialist. The Data Architect will also assist in the establishment and enforcement of architectural standards and best practices to ensure consistency in data solutions delivery across development teams.

          +

          +

          Your Key Responsibilities:

          +
          • Lead and provide oversight into the design of end-to-end data solutions including data architecture, data integration, data modelling, security, privacy, regulatory, performance, data governance, business intelligence, etc. and to ensure alignment to the overall business needs
          • Provide technical oversight and recommendations on data infrastructure (on-prem and Cloud)
          • Lead discovery sessions with primary business stakeholders to obtain knowledge of business objectives, challenges, and requirements
          • Present and socialize proposed solutions to technical boards during review sessions as well as articulate and communicate designs to stakeholder groups
          • Support solution delivery by providing insights to the application development teams and project managers that plan and execute delivery activities
          • Support implementation processes in association with internal and external development teams. Participate in project-related activities.
          • Assume responsibility for the quality of the implemented solution and its adherence to technology strategies, standards, and best practices
          • Create solution architecture documents that describe and explain solution attributes and associated benefits
          • Stay current on emergent technologies relevant to supporting the data solutions delivered for customers
          • Support the identification of opportunities for continuous improvement of solution management methodologies, including obtaining feedback after the solution has been implemented
          • Assist in the identification and recommendation of appropriate solutions, upgrades, replacements, or decommissioning options incorporating business and technology productivity, usability, and total cost of ownership
          • +
          +


          To qualify for the role you must have:

          +
          • Bachelor’s degree in Information Technology, Software Engineering, Computer Science, or related field. Related professional certifications and/or training is considered an asset.
          • 10+ years demonstrated experience in the design and implementation of modern data architectures to support large scale data solutions
          • Expert knowledge of data patterns to support architectures and data management concepts/processes including ETL/ELT, Data Mesh, date lake, data lakehouse, data warehouse, data streaming, data virtualization, etc.
          • Strong understanding of data modeling (dimensional, data vault, etc.) principles and techniques based on established methodologies (e.g., Kimball).
          • Strong knowledge of ETL tools such as Informatica, SSIS, Talend, DataStage, etc. as well as standards and best practices for ETL development
          • Strong knowledge of data governance framework principles and vendor platforms (e.g., Collibra, Informatica EDC/Axon)
          • Experience with data manipulation and visualization tools such as Tableau, Power BI, etc.
          • Strong knowledge of SQL and demonstrated ability to apply SQL to a wide variety of business requirements.
          • Strong Knowledge of ETL frameworks using Azure Data Factory and Databricks Notebooks.
          • Strong knowledge in data warehousing concepts and data platforms (e.g., Snowflake, Databricks)
          • Strong knowledge of Azure-based architecture and services such as RBAC, AAD, VM, ADLS, Azure DevOps, and Events hub.
          • Proficient in building secure architecture using: Encryption, Azure key vault, Access control, Network security, and Advanced data security.
          • Knowledge of MDM concepts and solutions
          • Demonstrated experience deploying data solutions in Big Data platforms (e.g., AWS, Azure, GCP, etc.).
          • Strong analytical and decision-making skills.
          • Experience working within multidisciplinary, distributed, and collaborative environments.
          • +
          +


          What we look for

          +

          +

          We’re interested in passionate leaders with a strong vision and a desire to stay on top of trends in the IT Advisory space. If you have a strong passion for helping businesses achieve their IT strategy, this role is for you.

          +

          +

          What we offer

          +

          +

          At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

          +


          We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

          +
          • Support and coaching from some of the most engaging colleagues in the industry
          • Learning opportunities to develop new skills and progress your career
          • The freedom and flexibility to handle your role in a way that’s right for you
          • +
          +

          +

          Diversity and Inclusion at EY

          Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. From our actions to combat systemic racism and our advocacy for the LGBT+ community to our innovative Neurodiversity Centre of Excellence and Accessibility initiatives, we welcome and embrace the diverse experiences, abilities, backgrounds and perspectives that make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

          +
          +
          EY | Building a better working world
          +
          +
          EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
          +
          +
          Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
          +
          +
          Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
          ",,https://careers.ey.com/ey/job/Toronto-Senior-Manager-Data-Architect-Toronto-ON-M5H-0B3/897923401/,feed-importer@jobboard.io,,,,2023-05-06T19:09:54.735Z,False,0,4,24,https://talenthub.vectorinstitute.ai/jobs/212882758-senior-manager-data-architect-toronto-at-ey,https://careers.ey.com/ey/job/Toronto-Senior-Manager-Data-Architect-Toronto-ON-M5H-0B3/897923401/,expired,2023-04-06T17:37:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,New Posting, +f1a638ae-5c9a-4eac-bfc0-2bd757b5c5d1,212880414,Scotiabank,"Manager, Non-Pre Approval Originations (Data Analytics)",on_site,Canada : Ontario : Toronto,2023-04-06T17:22:06.092Z,"

          +

          +

          +

          +

          Requisition ID: 176519

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

          +

          +

          Purpose of Job:

          +

          +

          The Manager, Non-Pre-Approval Originations will develop and monitor credit risk origination strategies, policies, and processes in order to optimize risk/return for credit cards, unsecured lines of credit, unsecured installment loans and over drafts for the Canadian retail portfolio.

          +

          The manager will use in-depth portfolio analytics to optimize approval/decline decision criteria, automation decision, and limit assignment strategies for New and Existing customers, leveraging champion/challenger capabilities to confirm assumptions, learn about shifts in consumer credit behavior, and identify risks/opportunities that will impact the Risk Appetite Framework. These tasks will be accomplished leveraging extensive consumer data, credit risk and lending business expertise and advanced analytics techniques including machine learning. The person must have strong communication skills to propose changes to senior management and collaborate with risk partners including Product, Operations, and Technology.

          +

          This position requires technical expertise including experience with risk technologies origination and various testing methods to lead strategy and policy implementation with minimal defect, as well as a deep understanding of credit bureau information.

          +

          +

          Job Responsibilities:

          +

          +

          Origination Strategies

          +
          • Develop credit risk origination strategies and policies for the Canadian unsecured lending, with goal of using observational decision models to approve credit and set customer credit exposure.
          • Ensure all new approved credit is aligned with risk appetite and regulatory requirements and will optimize risk/return over the long term.
          • Lead successful implementation of strategy changes across different technology platforms and channels. Promote lean adjudication decision design.
          • Identify opportunities to improve/examine new risk strategies with building a robust and competitive portfolio in mind.
          • +
          +

          +

          Portfolio Monitoring

          +
          • Improve and maintain monthly/weekly performance monitoring on new accounts acquired through different channels and special programs. Owner of the end-to-end reporting process (from raw data in SQL tables to automated production-grade dashboards).
          • Assess strategy effectiveness and proactively identify if any segments are or will impact provisioning estimates as vintages mature.
          • +
          +

          +

          Support Business Line Initiatives/Projects

          +
          • Ensure all business line judicious priorities (i.e. growth, new product launches, new channels, new processes, new business line acquisitions) are consistent with Risk Appetite Framework.
          • Represent Risk’s point of view and liaise with stakeholders throughout the organization to listen actively, speak, and explain risk measures clearly and as appropriate.
          • Bring innovative solutions to Projects/programs that are consistent with the Bank’s customer/business objectives and risk guardrails
          • +
          +

          +

          Job Requirements:

          +

          +
          • A minimum of 3-5 years with an organization in the risk management or analytics field, with rigorous logical thinking and solid understanding of credit principles.
          • Prior experience in a retail lending environment or credit risk management is an asset.
          • Strong knowledge designing strategies that impact organization’s P&L.
          • Proficiency in programing and database (SAS/Enterprise Miner or similar statistical software including the ability to apply advanced statistical techniques, SQL, R, Python).
          • Able to translate data into digestible dashboards and business insights (PowerBI, Tableau, PowerApp).
          • Ability to work effectively within a team, able to multi-task and prioritize.
          • Excellent communication and written skills complemented with solid deductive reasoning, sound judgement, and creativity.
          • Bachelor’s degree or higher or equivalent work experience;
          • +
          +

          +

          Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Non-Pre-Approval-Originations-%28Data-Analytics%29-ON-M5C2W1/569312017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-06T18:37:58.249Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/212880414-manager-non-pre-approval-originations-data-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Non-Pre-Approval-Originations-%28Data-Analytics%29-ON-M5C2W1/569312017/,expired,2023-04-06T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +03f9078d-882a-4728-84d6-88ca0fec1d40,212883407,CN,"Expert, Data Analysis and Governance",on_site,"Ontario, Canada",2023-04-06T17:42:02.765Z,"
          +

          +

          At CN, everyday brings new and exciting challenges. You can expect an interesting environment where you’re part of making sure our business is running optimally and safely―helping keep the economy on track. We provide the kind of paid training and opportunities that long-term careers are built on and we recognize hard workers who strive to make a difference. You will be able to thrive in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

          +

          Job Summary

          +

          The Expert Data Analysis and Governance is responsible for facilitating access and analysis of all employee-related data (e.g., workforce demographics, hiring, attrition). The role handles and governs large quantities of data from multiple data sources, including the ability to merge it and ensure its consistency. Moreover, the role encompasses the development and creation of visualization and analysis tools to be used by the Human Resources (HR) function and CN’s executive leaders, as well as the ability to perform complex analysis on an ad hoc basis. It involves seeking out and understanding new data sources, merging it with other sources and modelling in order to provide a consumable format for analysis.

          +

          Main Responsibilities

          +

          Data Management

          +

          · Find and interpret rich data sources

          +

          · Handle large amounts of data despite hardware, software, and bandwidth constraints

          +

          · Merge data sources and ensure consistency of datasets

          +

          · Create visualizations to aid in understanding data and build mathematical models

          +

          Analytical Support

          +

          · Provide analytical support by creating and sharing regular and ad hoc reports as required

          +

          · Develop and optimize Tableau and Power BI reports and applications to deliver simplified analytics to support insight development

          +

          Data Interpretation

          +

          · Work with partners in HR and other functions on the extraction, analysis and interpretation of relevant data points from different source systems (e.g., workforce, recruiting, training, etc.)

          +

          Data Optimization

          +

          · Query large datasets and link related factors to reveal performance, safety or cost-saving opportunities

          +

          · Analyze data, spot trends, and bring change to the organization

          +

          · Explore and examine data from multiple disparate sources

          +

          Working Conditions

          +

          The role has standard working conditions in an office environment with a regular workweek from Monday to Friday. The role is eligible to participate in CN’s flexible work policy. Due to the nature of the role, the incumbent must be able to meet tight deadlines, handle pressure, and stress.

          +

          Requirements

          +

          Experience

          +

          Relational Databases and Modeling

          +

          · Minimum 5 years of experience with relational databases and modeling techniques and coding (e.g., Structured Query Language (SQL) Server)

          +

          · Experience developing dashboards and interactive analytical tools and visualizations

          +

          Education/Certification/Designation

          +

          · Bachelor’s Degree in Business Administration, Computer Sciences, Software Engineering, Statistics or equivalent degree and experience

          +

          Competencies

          +

          · Demonstrates agility and drives change

          +

          · Knows the business and stays current on industry needs

          +

          · Communicates with impact

          +

          · Collaborates with others and shares information

          +

          · Demonstrates active listening

          +

          · Solves problems to create value

          +

          Technical Skills/Knowledge

          +

          · Expert-level skills and usage of Microsoft Office (Excel and Access), Tableau and Power BI

          +

          · Expansive knowledge of HR metrics, data, and business intelligence strategies

          +

          About CN
          CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

          +

          +

          +

          +

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

          +
          ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/10675?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-05-06T19:31:39.353Z,False,0,9,48,https://talenthub.vectorinstitute.ai/jobs/212883407-expert-data-analysis-and-governance-at-cn,,expired,2023-04-06T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Mid-Senior Level,Bachelors Degree,New Posting, +f4646ed8-f7a5-4921-8719-5ab53445d7b9,222298120,Sun Life Financial,Senior Data Engineer,on_site,"Ontario, Canada",2023-05-04T17:41:03.155Z,"
          +

          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

          +

          +

          +

          Job Description:

          +

          +

          Role Summary

          +

          +

          Leveraging DE principles and values, the Finance Accelerator’s purpose is to modernize Finance through process redesign and automation, establishing best practices, developing common tool platforms on an enterprise scale, and applying data and analytics to inform, influence and tackle business problems.

          +

          +

          As a Senior Data Engineer, you will be responsible to assemble various streams of data and turning it into organized data products that fuel into analytical tools. Working with a diverse team of product owners, delivery teams and business partners professionals, the Senior Data Engineer will lead the entire lifecycle of data – from ETL to mining insights from the data, to making data accessible to build analytics services and self-service solutions to our stakeholders

          +

          +

          Given this mandate, this role requires an experienced data engineer (5+ years) with deep experience in building data ETL process, governing data products, and a solid understanding of data needs of data analysts. The candidate must have experience in:

          +

          +

          Data Management – Design, development, integration

          +

          Data Discovery – scoping new data sources, understanding and leveraging data sources

          +

          Data Governance – Manage data catalogue, interpret metadata

          +

          Communication and liaison between business, data analysts and IT

          +

          +

          This role will report to the Director, Data Analytics & Insights

          +

          +

          What will you do?

          +
            +
          • Design, development and implementation of end-to-end complex ETL solutions from data modelling phase to automated workflows system using Informatica Powercenter

          • +
          • Convert complex business and technical rules into logic for data flows that are implemented in ETL processes

          • +
          • Ensure automated processes and internal data repository preserves data integrity and high data quality by managing alignment of source data platform.

          • +
          • Implement and maintain clear data governance, data structures, naming conventions and other guiding principles to increase consistency in data across Business Groups

          • +
          • Work with team members to create useful reports and dashboards that provide insight, improve/automate processes, or otherwise add value to the team.

          • +
          • Implement technical solutions that are scalable, aligned with the enterprise architecture and can adapt to changes in business

          • +
          • Develop and manage effective working relationships with other departments, groups or personnel with whom work must be coordinated.

          • +
          +

          +

          What do you need to succeed?

          +
            +
          • 5+ Years of hands-on experience in ETL using tools such as Informatica PowerCenter, and Power Designer for Data modelling

          • +
          • Minimum of 1 year of experience with Data visualization tool, developing and designing dashboards, preferably Tableau

          • +
          • 4+ years experience or deep knowledge of SQL Server that includes a thorough understanding of SQL internals, system tables, stored procedures, functions, triggers, and SQL tuning

          • +
          • BSc/M.S. in a statistical, mathematical, or technical field (ie Engineering, computer science) or equivalent experience

          • +
          • Proven ability to lead and drive projects and assignments to completion

          • +
          • Experience embedding continuous improvement processes within the team to augment the speed and quality of analysis delivery

          • +
          • Ability to work in a global multi-site environment and working in a matrix environment, onshore/offshore IT mode

          • +
          • Strong communication skills and attention to detail and accuracy

          • +
          +

          +

          Unique Requirements

          +
            +
          • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

          • +
          • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

          • +
          +

          +

          What will be nice to have?

          +
            +
          • Experience with production implementation change management processes

          • +
          • Experience with project management and software development life cycle/SDLC; Agile and Lean

          • +
          • Excellent documentation skills including technical writing, Visio, PowerPoint, flowcharting

          • +
          • Experience/Knowledge in Service Request tool such JIRA & Service Now

          • +
          +

          +

          What\'s In It For You?

          +
            +
          • Competitive salary and bonus structure influenced by market range data

          • +
          • 20 days vacation per year and an innovative sabbatical program

          • +
          • Great Place to Work® Certified in Canada and the US - 2022

          • +
          • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

          • +
          • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid #LI-Remote

          • +
          • A friendly, collaborative and inclusive culture

          • +
          • Flexible Benefits from the day you join to meet the needs of you and your family

          • +
          • Pension, stock and savings programs to help build and enhance your future financial security

          • +
          • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

          • +
          +

          +

          The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

          +

          +

          Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

          +

          +

          Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

          +

          +

          At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

          +

          +

          We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

          +

          +

          Salary Range:

          74,100/74 100 - 120,800/120 800

          +

          Job Category:

          Advanced Analytics

          +

          Posting End Date:

          07/05/2023
          ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Engineer_JR00076767?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-05-08T20:38:00.000Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/222298120-senior-data-engineer-at-sun-life-financial,,expired,2023-05-04T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +f1148e1b-1722-49c1-8c8e-9197885b7f38,221076251,Scotiabank,Data Engineer - CID&A,on_site,Canada : Ontario : Toronto,2023-05-01T17:22:05.285Z,"

          +

          +

          +

          +

          Requisition ID: 177131

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

          +

          +

          Purpose:

          +

          +

          The Customer Insights, Data, and Analytics organization at Scotiabank is focused on building high-value solutions across the bank. Our organization consists of accomplished professionals who blend expertise in computer science, data, machine learning, and banking to deliver innovative projects that drive the business. A key part of success for the group is having scalable, fast, and continuously evolving data processes, and this is the responsibility of the Data Office Data Engineering team. As an integral part of the team, the Data Engineer will be responsible for all technical aspects of the data pipelines that power advanced and descriptive analytics work. We have a dynamic work environment that will provide you with exposure to leaders in data & analytics, the opportunity to continuously learn, and support to be innovative.

          +

          +

          Accountabilities:

          +

          +
          • Work with business teams across the organization (Canadian Banking, Intl. Banking, Treasury, GBM) to understand their data-driven goals
          • Partner with advanced analytics teams to build powerful data assets and processes
          • Be the subject matter expert on data driven processes, visualization workflows, and tools with which to analyze data
          • Build automated data management and data quality capabilities into projects
          • Build re-usable components to scale development across the organization, collaborating with other technical teams to streamline high-value data to the Analytics platforms
          • Build re-usable managed datasets for consumption by both revenue generating analytics and operational corporate functions (e.g. finance, risk, etc.)
          • Experiment & learn!
          • +
          +


          Requirements & Qualifications:

          +

          +
          • Bachelor’s degree in Computer Science or Engineering, or related field or relevant experience
          • Experience with visualization tools: Power BI
          • Strong data analysis skills
          • Strong programming skills in Python, Scala, and /or Java. Experience with Spark is preferred
          • Experience working in the cloud environment is an asset
          • Experience in finance is an asset
          • Comfortable working in database environments. Experience with PostgreSQL, HDFS/Hive, BigQuery an asset
          • Exposure to Kubernetes, Airflow, Jenkins is an asset
          • Familiarity with agile tooling to efficiently build as a team: git, Jira, Confluence, etc.
          • Familiarity with data management capabilities (data registration, data quality, etc.) and ability to learn advanced data management toolsets
          • High aptitude for diving in and picking up new technologies as required
          • Eligible to work in Canada
          • +
          +

          +

          +

          Location(s): Canada : Ontario : Toronto

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

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

          ",,https://jobs.scotiabank.com/job/Toronto-Data-Engineer-CID&A-ON-M5H1H1/569869917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-08T20:36:00.000Z,False,0,9,24,https://talenthub.vectorinstitute.ai/jobs/221076251-data-engineer-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Engineer-CID&A-ON-M5H1H1/569869917/,expired,2023-05-01T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +a20d9d68-8f62-44df-8886-a756c6bd89e0,219397503,Sun Life Financial,"Director, Data Engineering",on_site,"Ontario, Canada",2023-04-27T17:41:02.615Z,"
          +

          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

          +

          +

          +

          Job Description:

          +

          Role Summary

          +

          +

          The Data Enablement COE within the Client Experience Office (CXO) at Sun Life is on a mission to transform how the company applies data and analytics to support Sun Life Canada\'s transformation to a client centric, data driven organization.

          +

          +

          We are looking for a seasoned and experience leader for the role of Director, Data Engineering. With experience with modern data engineering and cloud data practices, this role will bring strong leadership and influencing skills to lead the development and management of a business led data engineering practice for our CXO and One Sun Data assets. Reporting to the AVP for Data Enablement COE in the CXO, this role will execute on the Canadian Data Strategy pillars for building operational and analytical data products and lead the modernization of our data and analytics platform in our journey to the cloud with relentless focus on generating business value.

          +

          +

          What will you do?

          +
            +
          • Proactively drive the vision for Customer focused data products, and define and execute on a plan to achieve that vision.

          • +
          • Drive the definition of the future state data and analytics platform in the AWS Data ecosystem with our partners in DBTS and use it to lead the migration of the legacy data engineering workloads.

          • +
          • Define the processes needed to achieve operational excellence in all areas, including project management and system reliability.

          • +
          • Build cross-functional relationships with Data Analysts, Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.

          • +
          • Drive the design, building, and launching of new data models and data pipelines in production.

          • +
          • Contribute to improving data engineering competency across Sun Life Canada as part of the CDAO mandate.

          • +
          +
            +

            What do you need to succeed?

            +
              +
            • Strong communication and leadership experience, with a must-have driver mentality to get things done.

            • +
            • 10+ years of experience in engineering data products for operational and/or analytical needs.

            • +
            • Experience leading large scale migrations for data and data workloads from legacy to modern cloud based data platforms

            • +
            • Experience with designing and architecting data engineering pipelines with AWS Data technologies

            • +
            • Data architecture experience with focus on data domains and data platforms

            • +
            • Development experience in at least one object-oriented language (Python, Java, etc.) and experience in SQL or similar languages.

            • +
            • Experience scaling and managing 10+ person teams.

            • +
            +

            +

            What will be nice to have?

            +
              +
            • Experience with Customer Experience (Digital and Marketing) data.

            • +
            • Experience with data modeling for analytical use cases

            • +
            • Experience with large volume data sets, Hive/Presto, and data visualization tools.

            • +
            • Project management experience, with experience initiating and driving projects.

            • +
            • Attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks. To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

            • +
            +

            +

            What\'s In It For You?

            +
              +
            • Competitive salary and bonus structure influenced by market range data

            • +
            • 20 days vacation per year and an innovative sabbatical program

            • +
            • Great Place to Work® Certified in Canada and the US - 2022

            • +
            • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

            • +
            • Named “Best Places to Work” by Glassdoor - 2021

            • +
            • Canada Award for Excellence for Mental Health at Work - 2021

            • +
            • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid #LI-Remote

            • +
            • A friendly, collaborative and inclusive culture

            • +
            • Being part of our Analytics community, where we share best practices and broaden skill-sets

            • +
            • Flexible Benefits from the day you join to meet the needs of you and your family

            • +
            • Pension, stock and savings programs to help build and enhance your future financial security

            • +
            • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

            • +
            +

            +

            The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

            +

            +

            Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

            +

            +

            Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

            +

            +

            At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

            +

            +

            We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

            +

            +

            Salary Range:

            111,100/111 100 - 177,800/177 800

            +

            Job Category:

            Advanced Analytics

            +

            Posting End Date:

            07/05/2023
            ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Director--Data-Engineering_JR00079376-3?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-05-08T20:24:00.000Z,False,0,0,12,https://talenthub.vectorinstitute.ai/jobs/219397503-director-data-engineering-at-sun-life-financial,,expired,2023-04-27T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,No Degree,New Posting, +55a16c6e-b7d9-43d3-8a2e-7d3783083fec,213971489,BMO Financial Group,"Head, BMO Commercial Data Sciences",on_site,"Ontario, Canada",2023-04-10T17:12:02.112Z,"
            +

            Address:

            100 King Street West

            +

            +

            Job Family Group:

            Data Analytics & Reporting

            +

            +

            +

            +

            The BMO Commercial Data & Analytics team is growing to meet the needs of the BMO Commercial business. BMO Commercial is a top 5 North American Commercial Bank and seeks to enhance all aspects of its businesses by leveraging vast amounts of data via analytical approaches. The aim of the team is to grow the business, minimize costs, reduce losses and foster data-backed decision making locally at the client level and in aggregate at every business level. This is an exciting time to be with BMO Commercial Data & Analytics, with several in-flight initiatives, and business partners that are engaged to drive value for our business.

            +


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

            +

            +

            The role will support the overall BMO Commercial Data & Analytics practice, including making recommendations that broadly support a best-in-class Data & Analytics function. A deep, integrated understanding of Commercial Banking is required to effectively support our Commercial growth ambitions.

            +

            +

            Responsibilities:

            +

            +
              +
            • Acts as a trusted advisor to senior leaders for making business decisions and implementing strategic initiatives.
            • +
            • Provides thought leadership and strategic advice to businesses through “art of the possible” conversations and demonstrating value though “Proof of Values”.
            • +
            • Networks with industry contacts to gather competitive insights and best practices.
            • +
            • Recommends business priorities, advises on resource requirements and develops roadmap for strategic execution.
            • +
            • Makes strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.
            • +
            • Structures loosely defined and complex business problems; determines new experimentation methods and statistical techniques to design solutions.
            • +
            • Acts as the prime contact for internal/external stakeholder relationships, which may include regulators.
            • +
            • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
            • +
            +
              +
            • Leads discovery process with stakeholders to identify business requirements and expected outcome and to select relevant sources of data/information.
            • +
            • Develops an expert understanding of business/group challenges.
            • +
            • Develops the business case by identifying needs, analysing potential options and assessing expected return on investment.
            • +
            • Drives analytics innovation; poses open-ended questions, explores new ideas, and chooses appropriate techniques for solving business problems.
            • +
            • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
            • +
            • Defines business requirements for analytics & reporting to ensure data insights inform business decision making.
            • +
            • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
            • +
            • Identifies/creates the appropriate algorithm to discover patterns.
            • +
            • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, refine hypotheses.
            • +
            • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
            • +
            • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
            • +
            • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
            • +
            • Fosters strong internal and external networks and works with and across multiple teams to achieve business objectives.
            • +
            +
              +
            • Manages resources and leads the execution of strategic initiatives to deliver on business and financial goals.
            • +
            • Diagnoses and resolves predictive / analytical model performance issues while monitoring system performance and implementation of efficiency improvements.
            • +
            • Leads change management programs of varying scope and type, including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
            • +
            • Collaborates across BMO to develop communications strategies and ensure consistency of messaging, in order to positively influence or change behaviour.
            • +
            • Sets up change control and testing processes to ensure the quality and consistency of ongoing maintenance work.
            • +
            • Leads and designs and implements policies and procedures around new data sets to ensure data quality, consistency, repeatability, and accuracy of insights.
            • +
            • Supports development of tools and delivers training for data analytics and AI.
            • +
            +
              +
            • Recommends measures to improve organizational effectiveness.
            • +
            • Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
            • +
            • Ensures alignment between values and behaviour that fosters diversity and inclusion.
            • +
            • Regularly connects work to BMO\'s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.
            • +
            • Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders.
            • +
            • Improves team performance, recognizes and rewards performance, coaches employees, supports their development, and manages poor performance.
            • +
            • Broader work or accountabilities may be assigned as needed.
            • +
            +

            +

            Qualifications:

            +
              +
            • Typically 9+ years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience.
            • +
            • Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience.
            • +
            • Experience with distributed computing language (e.g. Hive / Hadoop/ Spark) & cloud technologies (e.g. AWS Sagemaker, AzureML).
            • +
            • Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, , Perl) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
            • +
            • Seasoned expert with extensive industry knowledge.
            • +
            • Technical leader viewed as a thought leader for innovation.
            • +
            • Verbal & written communication skills - Expert.
            • +
            • Analytical and problem solving skills - Expert.
            • +
            • Influence skills - Expert.
            • +
            • Collaboration & team skills; with a focus on cross-group collaboration - Expert.
            • +
            • Able to manage ambiguity.
            • +
            +

            +

            +

            We’re here to help

            +

            +

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

            +

            +

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

            +

            +

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

            +

            +

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

            +

            +

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

            +
            ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Head--BMO-Commercial-Data-Sciences_R230002213?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-05-10T18:52:42.754Z,False,0,2,17,https://talenthub.vectorinstitute.ai/jobs/213971489-head-bmo-commercial-data-sciences-at-bmo-financial-group,,expired,2023-04-10T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Masters Degree,New Posting, +abff5f32-55a2-4b49-977a-ef51dc290284,213689318,TELUS,DataOps Engineer,on_site,"Ontario, Canada",2023-04-09T17:42:02.487Z,"
            +
            +

            +
            +

            +

            We are the TELUS Data Strategy & Enablement team, our mission is to drive TELUS to become a world-class data insights driven organization, delivering world-class data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data, and a data-product/data platform oriented culture. Our team members are passionate, dynamic, entrepreneurial and highly engaged, driven to achieve great outcomes for our customers, our team members, our communities and our environment.

            +

            +

            We believe in continuous meaningful transformation integrating dynamic change in our professional lives. Our team members are always learning, experimenting and applying tuition value into everything we do.

            +

            +

            Join our team

            +


            We are searching for a talented candidate to join our team in the role of DataOps Engineer. Reporting to the Manager – Analytics and Business Intelligence Platforms, the successful candidate will be responsible for designing, implementing, and supporting solutions to enable business product teams to drive value by realizing Analytics and Machine Learning use cases. This role will support our evolving DataOps landscape by providing analytics capabilities built upon unified scalable platforms, advanced AI tooling, improved speed to market and automation. This role will be an agent of change and support our evolving strategy, data, and analytics roadmaps as well as provide strong direction for our Cloud based Analytics and Business Intelligence platforms.

            +

            Here\'s How:

            +

            +
              +
            • Collaborating with Business and Product teams to enable valuable Analytics and Machine Learning use cases
            • +
            • Designing and implementing DataOps and MLOps processes and automations using the latest tools to effectively operationalize Analytics and AI workflows
            • +
            • Staying up to date of new software, tools, and organizations that are having an impact on the Analytics and Machine Learning landscape
            • +
            • Provisioning infrastructure and secure, reliable data-centric services and applications in GCP for Data & Analytics users across the TELUS enterprise
            • +
            • Identify opportunities to make substantial improvements to the deployment and support of our DataOps environment demonstrating a DevOps mindset while improving our reliability and speed to market
            • +
            • Foster internal and external stakeholder relationships, including building highly collaborative relationships with business product teams and technical teams
            • +
            +

            +
            +
            +
            +

            +
            +


            What you bring

            +

            +
              +
            • You are passionate about Agile culture and DevOps practices
            • +
            • Your have a keen interest in Data Analytics and Machine Learning, and are familiar with the machine learning life cycle
            • +
            • Experience with the data offerings in Google Cloud Platform (e.g. BigQuery, Dataproc, Dataflow, Vertex AI)
            • +
            • You have experience in implementing CI/CD processes and integrating source code version control (e.g. GitHub) with automated workflows.
            • +
            • You have hands on experience in Infrastructure-as-Code (e.g. Terraform, Pulumi) and the Python programming language
            • +
            • You are a skilled relationship builder and skilled at prioritization, negotiation and influencing
            • +
            • You can communicate clearly and effectively in both technical and business matters, and are able to translate technical considerations into business implications
            • +
            • You can pivot between supporting the urgent needs of the business and working on strategic initiatives
            • +
            • You have experience working on and supporting large, complex technical projects that involve multiple stakeholders and business units
            • +
            +

            +

            Great-to-haves:

            +

            +
              +
            • Undergrad in Computer Science, Engineering, Mathematics, Science or equivalent
            • +
            • 3+ years of progressive and relevant work experience with data/analytics platforms, DevOps, and/or machine learning
            • +
            • GCP Professional Certification
            • +
            +

            +
            +
            +
            ",,https://careers.telus.com/job/Toronto-DataOps-Engineer-ON/568456717/,feed-importer@jobboard.io,,,,2023-05-10T18:46:51.657Z,False,0,10,33,https://talenthub.vectorinstitute.ai/jobs/213689318-dataops-engineer-at-telus,,expired,2023-04-09T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, +79d47a1e-e277-479f-b504-248a79cf0af9,213973190,TD Bank Group,Senior Business Analyst Workday/Peoplesoft ( Data Integration),on_site,"Toronto, ON",2023-04-10T17:24:02.278Z,"
            +

            Company Overview

            +
            +

            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

            +

            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

            +
            +

            +

            Department Overview

            +
            +

            Business Information Management (BIM) at TD is part of a creative, enterprise-wide data and analytics ecosystem. Roles in BIM are highly professional and valued, specialized yet inter-connected and focused on making the availability of business information to designers, developers and decision-makers a priority, all with a united purpose to serve customers and continually build a better bank.

            +

            We’re looking for analytical and agile professionals who can merge and translate data into technology and business information, serving today’s business needs and setting in motion TD’s longer-term goals and strategic objectives. If you get data, its power and potential, we think you’ll love working at TD, where data knows no bounds and where your professional expertise will help to drive the business forward and take your own career to new heights.

            +
            +

            +

            Job Description

            +
            +

            Are you an expert level business information analyst, equipped with both conceptual and practical expertise in business information management? If so, this role offers a hands-on and high-career growth opportunity to provide business technical leadership across a broad range of information management functions to support various areas of data and analytics.
            Enjoy partnering with colleagues and directing data traffic? In this advanced professional role, you’ll work both independently and within teams as a senior data analyst. Colleagues and business partners will look to you to manage and direct activities related to impact analysis, design and support of business data management solutions, including larger projects.
            As a Senior Business Information Management Analyst, you will:

            +
              +
            • Be the expert-level team analyst, considered an authority with in-depth knowledge and experience in data analysis and data migration as well as working knowledge of broader related areas in HR or Financial systems
            • +
            • Participate in Workday implementation activities including discovery, design, configuration, documentation, testing, and project review sessions related to data conversion activities
            • +
            • Facilitate data discovery workshops, downstream impact analyses and proactively manage stakeholder expectations
            • +
            • Lead projects of moderate to complex risk and data requirements; may lead end-to-end data conversion activities
            • +
            • Analyze and understand business and data requirements to develop complete business solutions (e.g. analysis of data models, entity relationship diagrams, data lifecycle management, governance, lineage, metadata and reporting elements)
            • +
            • Develop business requirements; design and implement complex business data information management frameworks
            • +
            • Apply automation and innovation on data platforms and on new development projects / initiatives
            • +
            • Conduct a range of data analyses, demonstrating your in-depth experience with very large datasets and big data technologies; assessing business information-related data requirements aligned to business needs and for specific data platforms, applications systems and servers
            • +
            • Partner and collaborate with business and technology partners to resolve data / application issues and ensure requirements delivery
            • +
            • Participate fully as a member of the project delivery team, support a positive work environment that promotes service to the business, quality and innovation and, ensure timely communication of issues/points of interest +
            • +
            +
            +

            +

            Requirements

            +
            +

            What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

            +
              +
            • Undergraduate degree or technical certificate
            • +
            • Five (5) or more years relevant experience implementing enterprise solutions with at least one full life cycle using Workday
            • +
            • Sound conceptual knowledge in your area of specialty
            • +
            • Fluent in one or two programming languages
            • +
            • Advanced analytical and problem-solving skills
            • +
            • Proficient knowledge of various data sources, tools and technologies used in preparing summaries/reports
            • +
            • In-depth knowledge of competitor and market trends
            • +
            • Proficient to analyze, organize and prioritize work while meeting multiple deadlines
            • +
            • Expertise in using analytical software tools, MS Office, data analysis methods and reporting techniques
            • +
            • Strong ability to work collaboratively and independently, communicate effectively (both speaking and writing), follow instructions/direction, and help building relationships across teams and functions
            • +
            • Act as a brand champion for our business area / function and TD, both internally and externally
            • +
            +
            +

            +

            Additional Information

            +
              +
            • Experience working with Workday or Peoplesoft
            • +
            • Data Migration and Data Integration
            • +
            +

            +

            Hours

            +
            37.5
            +

            +

            Inclusiveness

            +

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            +

            +
            ",,https://jobs.td.com/en-CA/jobs/15245253/senior-business-analyst-workday-peoplesoft-data-integration-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-10T19:29:56.297Z,False,0,1,21,https://talenthub.vectorinstitute.ai/jobs/213973190-senior-business-analyst-workday-peoplesoft-data-integration-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15245253/senior-business-analyst-workday-peoplesoft-data-integration-toronto-ca/,expired,2023-04-10T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +ac0c1177-db38-4688-8d4b-ca9ff0d74119,213170149,TD Bank Group,Data Scientist II,on_site,"Toronto, ON",2023-04-07T17:24:03.583Z,"
            +

            Company Overview

            +
            +

            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

            +

            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

            +
            +

            +

            Department Overview

            +
            +

            What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data. As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

            +

            The TDBG Global AML Compliance Department is accountable for establishing TDBG’s Global Anti-Money Laundering and Anti-Terrorist Financing Program (AML/ATF) to ensure that all TDBG businesses remain compliant with AML/ATF regulatory expectations in all jurisdictions where TDBG operates. This includes setting consistent standards across business segments that maybe further tailored to specific business or jurisdictional requirements; conducting annual enterprise-wide AML risk assessments; maintaining the Global AML Policy (including Know Your Customer and Enhanced Due Diligence, record keeping & retention requirements); currency transaction and suspicious transaction monitoring and reporting; screening TDBG customers against regulatory watch lists (i.e., Name Matching); a hierarchy of designated AML officer functions; enterprise-wide and specialized AML training of employees; and independent AML testing.

            +

            TD’s vision for the future? Tailored, customized banking products, services, and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

            +
            +

            +

            Job Description

            +
            +

            About this Role

            +

            While you are a natural leader, you don’t mind getting your hands dirty. And in your role, you will simultaneously work to create data related solutions to drive business results, while working with senior leadership to communicate timelines and progress and identify business opportunities. You are not only a functional expert, you also possess broad managerial experience and specialized knowledge of regulatory and industry frameworks, using that knowledge to inform development cycles and develop industry leading analytic solutions. Most of all, your work ethic and thought leadership inspires your team to innovate with purpose, execute with speed, collaborate to deliver world-class data solutions and ultimately become leaders themselves.

            +

            We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work enterprise wide.

            +

            As a Data Scientist II, these are the essential qualifications of this role:

            +
              +
            • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core work you’re doing
            • +
            • Provide maintenance of transaction monitoring scenarios, and analytical queries in support of the bank’s strategic efforts to mitigate money laundering and terrorist financing risk
            • +
            • Conduct activities related to AML/ATF scenario performance tuning, machine learning execution and model performance monitoring, and to satisfy audit, compliance, and regulatory requirements
            • +
            • Use statistical and machine learning techniques to build and maintain effective and efficient transaction monitoring, customer behavior, and risk scoring models
            • +
            • Work closely with business owners to find opportunities and serve as an ambassador for data science
            • +
            • Design and deliver enterprise analytic solutions for customers
            • +
            • Develop powerful business insights using advanced machine learning techniques
            • +
            • Build complex statistical models that learn from and scale to petabytes of data.
            • +
            • Analytical thought leadership and staying ahead of developments in data mining and the application of data science
            • +
            • Work independently as a senior lead and may manage and direct activities related to analysis, design, and support of technical data management solutions on various projects ranging in complexity and size
            • +
            • Generally accountable for a significant business management area that typically has enterprise-wide impact or accountability
            • +
            • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels.
            • +
            +
            +

            +

            Requirements

            +
            +What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

            +
              +
            • Undergraduate degree in data science, computer science, statistics, or related field.
            • +
            • Five (5) or more years of relevant experience
            • +
            • Expert knowledge of Python, SQL, and R are essential. Others such as SAS, Java, Scala, tableau etc. would be good to have.
            • +
            • AML knowledge and experience on data-driven or data-centered projects would be an asset.
            • +
            • Expert data explorations and analysis skills and ability to apply statistical techniques and data mining tools to solve business problem.
            • +
            • Extensive work experience building predictive models with machine learning methods.
            • +
            • Experience in query optimization, debugging and automation.
            • +
            • Excellent written and oral communication, analytical and presentation skills, including ability to communicate with individuals from various backgrounds.
            • +
            • Excellent multi-tasking skills: ability to adapt to and manage changing priorities
            • +
            • Experience with working with direct and indirect reports and ability to collaborate with various teams to provide business insights and to inform business strategies.
            • +
            +
            +

            +

            Additional Information

            +
            +#LI-Hybrid #LI-Post #datascientist

            +
            +

            +

            Hours

            +
            37.5
            +

            +

            Inclusiveness

            +

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            +

            +
            ",,https://jobs.td.com/en-CA/jobs/18114673/data-scientist-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-10T18:33:19.696Z,False,0,8,46,https://talenthub.vectorinstitute.ai/jobs/213170149-data-scientist-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18114673/data-scientist-ii-toronto-ca/,expired,2023-04-07T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, 1c94cbb4-873b-441a-98a3-2f1a74afb05e,26807023,Deloitte,Omnia AI: Data Engineer - Summer 2020 Co-op/Intern,on_site,"Ottawa, ON, Canada",2019-12-18T19:59:16.060Z,"

            Date Posted: Dec 13, 2019

            Reference Code: 48302-en_US

              @@ -29973,551 +37591,6 @@ a7b8ad0d-00e8-4677-98a3-19f9ab367d4b,43573383,Sun Life Financial,Senior Business

              Other Employment Statements

              Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

              The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

            ",,https://www.accenture.com/ca-en/careers/jobdetails?id=00882630_en&title=Data+Science+Senior+Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2020-12-21T17:51:00.000Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/43900622-data-science-senior-manager-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=00882630_en&title=Data+Science+Senior+Manager,expired,2020-12-10T06:21:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,New Posting, -7718e90b-a55a-400d-ab04-a4c7af43b4fb,42529866,Accenture,Cloud Data Consulting Sr Manager,on_site,Ontario - Toronto,2020-11-28T06:18:32.162Z,"

            Job Description

            Cloud Data Consulting Sr Manager
            -
            -
            Location: Toronto
            -
            -
            WE ARE
            -
            -
            Applied Intelligence, the people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Visit us here to find out more about Applied Intelligence. -
            -
            -
            YOU ARE
            -
            -
            A Big Data and Cloud leader—someone who thrives in a team setting where you can use your creative and analytical prowess to obliterate problems. You’re passionate about digital technology, and you take pride in making a tangible difference. You have communication and people skills in spades, along with strong leadership chops. Complex issues don’t faze you thanks to your razor-sharp critical thinking skills. Working in an information systems environment makes you more than happy.
            -
            -
            WORK YOU’LL DO
            -
            -
            Cloud Data Consulting Architects at the Senior Manager level will be responsible for providing solutions to digital age data challenges in multiple industries through architecture, design and implementation of an ecosystem of big data, NoSQL, Self-Service Data Preparation, AI, Machine Learning and other modern data technologies on cloud and also on prem. The solutions typically will include re-engineering the data acquisition, storage, processing, security, data management, governance and analysis using these technologies leading to the implementation of a modern data platform. A solid experience and understanding of considerations for planning, scaling, deployment and operations that are unique to big data, NoSQL and other emerging modern data technologies is required. We are looking for candidates who have a broad set of skills across these areas and who can demonstrate an ability to identify and apply modern data and cloud technologies to architect and implement innovative and differentiated data solutions. Our architects are expected to work with our clients in defining the future state architectures of their data platforms enabling analytical intelligence and then play a lead role to implement a roadmap to reach that state.
            -
            READ MORE OF THE JOB DESCRIPTION

            -
            -

            Qualifications

            -
            -Basic Qualifications
            -
            -
              -
            • Bachelor's degree in Computer Science, Engineering, Technical Science or 8 years of IT/Programming experience
            • -
            • Minimum 5+ years of architecting, implementing and successfully operationalizing large scale data solutions in production environments using big data and NoSQL ecosystem on premise or on Cloud (AWS, Google or Azure) using many of the relevant technologies such as Nifi, Spark, Kafka, HBase, Hive, Cassandra, EMR, Kinesis, BigQuery, DataProc, Databricks, Azure Data Lake etc.
            • -
            • Minimum 5+ years of architecting data and building performant data models at scale for Hadoop/NoSQL ecosystem of data stores to support different business consumption patterns off a centralized data platform
            • -
            • Minimum 5+ years of Spark/Pyspark processing, including Java, Python, Scala, Talend; for data analysis of production Big Data applications
            • -
            • Minimum 5+ years of architecting and industrializing data lakes or real-time platforms for an enterprise enabling business applications and usage at scale
            • -
            • Minimum 5+ years designing and implementing relational data models working with RDBMS and understanding of the challenges in these environments
            • -
            -
            Bonus Points
            -
            -
              -
            • Minimum 4+ years of experience implementing large scale secure cloud data solutions using AWS data and analytics services e.g. S3, EMR, Redshift; or
            • -
            • Minimum 4+ years of experience implementing large scale secure cloud data solutions using Google data and analytics services e.g. BigQuery, DataProc; or
            • -
            • Minimum 4+ years of experience implementing large scale secure cloud data solutions using Azure data and analytics services e.g. Databricks, ADLS; or
            • -
            • Minimum 4+ years of experience building data management (metadata, lineage, tracking etc.) and governance solutions for modern data platforms that use Hadoop and NoSQL on premise or on Azure, AWS, Google and Azure cloud
            • -
            • Minimum 4+ years of experience securing modern data platforms on-premise or on AWS, Google, Azure cloud
            • -
            -
            -
            -
            All of our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You'll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.
            -
            -
            To learn more about Accenture, and how you will be challenged and inspired from Day 1, please visit our website at accenture.ca/careers.
            -
            It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve our clients, our employees must be available to travel when needed.
            -
            -
            Accenture does not discriminate on the basis of race, religion, color, sex, age, non-disqualifying physical or mental disability, national origin, sexual orientation, gender identity or expression, or any other basis covered by local law. Accenture is committed to providing employment opportunities to current or former members of the armed forces.

            We are committed to employment equity. We encourage all people, including women, visible minorities, persons with disabilities and persons of aboriginal descent to apply.
            -
            -
            -Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions — underpinned by the world’s largest delivery network — Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 469,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at www.accenture.com. -
            -
            -
            -
            -
            -
            -
            -

            Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

            -

            Equal Employment Opportunity Statement

            -

            All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

            -

            Accenture is committed to providing veteran employment opportunities to our service men and women.

            -

            Requesting An Accommodation

            -

            Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

            -

            If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

            -

            Other Employment Statements

            -

            Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

            -

            The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

            ",,https://www.accenture.com/ca-en/careers/jobdetails?id=00852004_en&title=Cloud+Data+Consulting+Sr+Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2020-12-07T06:26:00.000Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/42529866-cloud-data-consulting-sr-manager-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=00852004_en&title=Cloud+Data+Consulting+Sr+Manager,expired,2020-11-28T06:18:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,Re-Posting an Expired Job, -b206c6b6-6a84-4e0e-b004-f4d4ef7aef1a,42713332,BMO Financial Group,"Manager Analytics, Business Intelligence - Wealth",on_site,"Toronto, ON, Canada",2020-11-30T19:47:42.657Z,"

            We are looking for a talented individual to join our team in the position of Manager Analytics, Business Intelligence. The primary responsibility is to manage data analytics and deliver recommendations that drive data driven insights for the GAM (Global Asset Management) Business.

            -

            -

            The role will sit on the Wealth Digital, Data & Analytics team and support the Sales and Distribution Channel with proactive, actionable insights across all products and phases of the funnel from awareness, consideration and acquisition through to lifecycle and loyalty. The successful candidate will be able to go beyond analytics/reporting to provide actionable insights to senior leadership

            -

            -

            Key Accountabilities:

            -
              -
            • Take the lead supporting GAM business. Think strategically and work independently with minimal supervision.
            • -
            • Work with internal clients and diverse stakeholders to understand their business objectives, scope and KPIs and translate them into digital measurement plans and data collection strategies
            • -
            • Produce dashboards, reports, analysis, insights that drive decisions and help us build better products and experiences.
            • -
            • Manage and enhance daily/weekly/monthly channel reporting to provide results and context to deliver actionable insights to senior management, not just reporting data
            • -
            • Improve and automate process using a variety of tools to drive operational efficiency
            • -
            • Manage, prioritize, and respond to ad-hoc requests
            • -
            • Uncover and identify opportunities to improve the customer experience by leveraging statistical approaches against multiple sources of data including internal sales/transactions and external party data/benchmarks
            • -
            • Assist the retail and advisor channels in campaign performance measurement and increasing productivity of all marketing initiatives
            • -
            • Research, design and implement reporting infrastructure that leads to automated and flexible reporting
            • -
            -

            -

            Qualifications:

            -
              -
            • 5-7 years of work experience in Business, Financial industry
            • -
            • Good verbal and written communication skills; able to effectively present analytics data to business users at the Manager / Senior Manager level
            • -
            • Good knowledge of Asset Management and understanding of current market trends. Experience in Mutual Funds, ETF and Institutional distribution process,
            • -
            • Demonstrated proficiency in working with large datasets, both structured and unstructured data, using programming language such as SAS, SQL or related.
            • -
            • Post-Secondary education in Math, Computer Science, Statistics, Actuarial Science, Business
            • -
            • One or More Master's Degree in Data Analytics, MBA, CFA, CPA preferred
            • -
            • Self-Starter - Strong relationship-building skills. Ability to thrive on a high-degree of independence and ownership
            • -
            • Proficient in visualization tools such as Spotfire, Tableau or Power BI
            • -
            • Experience in running campaigns through design, execution and performance tracking.
            • -
            • A strong passion for data, charts, analysis, trends, and evangelizing data usage
            • -
            -

            -

            -

            We’re here to help

            -

            -

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

            -

            -

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

            -

            -

            To find out more visit us at www.jobs.bmo.ca/ca/en.

            -

            -

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

            ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager-Analytics--Business-Intelligence---Wealth_R200001684,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2020-12-31T22:21:37.607Z,False,0,0,11,https://talenthub.vectorinstitute.ai/jobs/42713332-manager-analytics-business-intelligence-wealth-at-bmo-financial-group,,expired,2020-11-30T19:47:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -4707cec6-4d7a-432c-bf36-6d038f8171c0,42714729,Loblaw Companies Ltd.,"Sr Manager, Data Engineering- Data Management",on_site,"Toronto, ON, Canada",2020-12-01T06:27:06.009Z,"
            -
            -
            -

            Location:

            -

            -

            -

            The decision to join a company is a big one. We have opportunities for hard working, energetic and reliable people just like you.

            -

            -

            -

            -

            Why is this role important?

            -

            Are you at the top of your game? Bring your expertise and knowledge to Canada’s largest retailer. We are looking for smart, nice and curious team members to help bring our Data & Analytics game to the next level. This is an exciting time to join our team – we are changing the game in a big way!

            -

            If you are looking to join a company that offers unlimited opportunity, excellent leadership, world-class training and makes a big impact on the community – this is the role you’ve been waiting for!

            -

            -

            We are looking for a Senior Manager, Data Analysis with experience in leading requirements gathering initiatives and stakeholder management to build a cloud-based modern data platform from the ground up. Reporting to the Senior Director, Data Management, the incumbent will be responsible for providing guidance and leadership to a team of data analysts. He or she will be an active hands-on contributor to the development of our data platform that powers our Analytics and ML/AI capabilities.

            -

            -

            We are a highly collaborative, agile work environment, so the ideal candidate would demonstrate excellent interpersonal skills and excellent technical depth. The successful candidate will be passionate about data and have a strong foundation of data management concepts and engineering best practices.

            -

            -

            What You'll Do:

            -

            -

            · Provide hands-on leadership, oversight and allocate resources on multiple data initiatives

            -

            · Develop and mentor a team of data analysts who are responsible for requirements gathering, documentation and communication across many different teams within the organization

            -

            · Act as the subject matter expert on data within the organization

            -

            · Contribute to the development and documentation of data management standards framework

            -

            · Lead the agile software development process, including roadmap planning, prioritization, cross-team coordination, task assignments, requirements gathering, documentation, and review

            -

            · Partner with scrum masters, product owners and other technical leaders on roadmap planning, sizing and estimates to ensure we're building the best scalable product possible

            -

            -

            What You'll Bring:

            -

            -

            · University degree in Computer Science, Mathematics, Engineering or related field

            -

            · 8+ years of data or business analysis experience with a focus on data

            -

            · 5+ years of experience as a team lead in an Agile environment

            -

            · 5 years of experience with relational databases (Teradata, Oracle, SQL Server) and big data technologies (Hadoop, Hive)

            -

            · Advanced knowledge of SQL and relational databases (Teradata, Oracle, SQL Server, etc.)

            -

            · Experience working with Cloud data platforms (GCP, Azure, AWS) is an asset

            -

            · Requirements gathering and documentation best practices with a mind for general readability

            -

            · Ability to take initiative, multi-task and work in a fast-paced environment

            -

            · Capability to liaise with all levels across the enterprise on projects and ad-hoc requests

            -

            · Strong detail orientation, communication and interpersonal skills are essential in this role

            -

            · A Team player and self-starter

            -

            -

            What You Can Expect:

            -

            -

            We are a team of diverse and ambitious analysts, who cultivate a friendly and inclusive work environment where you can be yourself. Our employees’ development is at the core of our business, offering endless possibilities for growth, learning and mobility. Let us help grow your skills through one of our many resources including the Loblaw Virtual Learning Centre, where you have access to hundreds of learning tools, or through casual coffee chats with our leaders who were once in your shoes.

            -

            Other perks of joining Loblaw:

            -

            o Competitive compensation and benefits package

            -

            o Office with incredible amenities including an on-site gym, volleyball court and basketball court (turned ice rink in the winter!)

            -

            o A flexible work environment which values balance

            -

            o Colleague Discount Program

            -

            o Tuition reimbursement Program

            -

            o Employee Share Ownership plan

            -

            o Pension Plan

            -

            If the above sounds like a great fit, then we would love to hear from you! Apply today, and get the process started. If you meet the above requirements, expect a call from one of our recruiters, followed by an in-person interview. Our recruitment process will allow you to meet and interact with colleagues at various levels of our business to give you a great perspective of life at Loblaw.

            We thank all candidates for their interest but please note, those candidates who meet the minimum requirements for the position will be contacted.

            -

            -

            -

            How You’ll Succeed:

            -

            At Loblaw, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections.

            -

            If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

            -

            -

            In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

            -

            -

            -

            Employment Type:

            Full time

            -

            -

            Type of Role:

            Regular

            -

            Type of Contract:

            -

            -

            -

            -

            Loblaw recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

            -

            -

            -

            -

            Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

            -
            -
            ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/Sr-Manager--Data-Engineering--Data-Management_R2000195744,loblaw@test.ca,https://www.loblaw.ca/en/careers.html,,,2020-12-21T17:58:00.000Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/42714729-sr-manager-data-engineering-data-management-at-loblaw-companies-ltd,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/Sr-Manager--Data-Engineering--Data-Management_R2000195744,expired,2020-12-01T06:27:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Senior Manager,Bachelors Degree,New Posting, -e49449e3-7490-472a-8f67-91126826cca1,42899811,KPMG,"Consultant / Senior Consultant, Data Analytics - Deal Advisory",on_site,"Toronto, ON, Canada",2020-12-02T18:53:14.914Z,"

            Job Description

            -

            Overview

            -

            You’ve got big plans. We have opportunities to match, and we’re committed to empowering you to become a better you, no matter what you do.

            -

            -

            When you join KPMG you’ll be one of over 200,000 professionals providing audit, tax, advisory and business enablement services across 154 countries.

            -

            -

            With the support to do things differently, grow personally and professionally and bring your whole self to work, there’s no limit to the impact you can make. Let’s do this.

            -

            -

            Our Deal Advisory team includes the following service lines: Transaction Services, Valuations, Corporate Finance, Restructuring & Turnaround, and Infrastructure Advisory.

            -

            -

            Our clients are typically private equity funds, pension funds, large public companies, as well as private corporations. Our people are motivated self-starters with expertise in finance, valuation, tax, accounting and financial reporting. Our network is global.

            -

            -

            Location: Work from one of our two locations, Vaughan Metropolitan Centre and/or Bay Adelaide Centre

            -

            -

            Join our KPMG's Deal Advisory Analytics team at the Consultant level with a focus on applying proprietary and third-party data analytics solutions in a deal environment.

            Working in multi-disciplinary teams, you will apply your professional and technical skills on a wide variety of transactions and at different stages of the transaction process.

            -

            -

            Learn more Transaction Services, Deal Advisory - KPMG

            -


            What you will do

            -
              -
            • Using KPMG proprietary and third-party data analytics tools you will deliver deeper insights to our clients at deal speed
            • -
            • Work with our deal teams to evaluate a business’ historical performance, sustainability of earnings/cash flows, financial projections, and opportunities for value creation.
            • -
            • Identify and report key issues, perform relevant financial analysis, and interpret results
            • -
            • Develop analytical procedures and templates that can be deployed to others to increase the capabilities of the wider team
            • -
            • Work with large volumes of data (structured and unstructured) - investigate and perform deeper analysis to produce impactful insights to achieve targeted outcomes
            • -
            • Conduct training and information sessions with KPMG practitioners from across the firm.
            • -
            • Participate in KPMG’s engagement teams, senior client executives, attorneys, and investors.
            • -
            • Draft detailed professional reports and other client deliverables e.g. Excel schedules, Tableau dashboards, results of predictive models etc.
            • -
            • Establish credibility and develop relationships with current and prospective clients.
            • -
            • Provide support/assistance for proposals.
            • -
            • Develop and support other business units to identify use cases and increase the use of data & analytics in a cross-functional role (e.g. Valuations, Corporate Finance, Restructuring, Global Infrastructure Project Group, etc.).
            • -
            -

            At times, business needs arise and employees are required and agree to work beyond their normal work day or work week to fulfill the accountabilities required for their job. Likewise, people need extra time to devote to personal matters, and our approach to flexibility provides for this.

            -


            What you bring to the role

            -
              -
            • Post-Secondary education equivalent to a university degree in Business or numerate or analytical disciplines such as Mathematics, Statistics, Data Analytics, Computer Science.
            • -
            • 1-2 years of work experience in a related field.
            • -
            • Experience with databases (SQL Server) data extraction, analysis, cleansing, quality and manipulation skills,
            • -
            • Experience handling very large volumes of data.
            • -
            • Strong analytical skills with financial awareness and business acumen
            • -
            • Prior exposure to data manipulation and visualization tools like e.g. Alteryx, PowerBI, Tableau, Qlik an asset
            • -
            • Experience building statistical analysis, descriptive analytics, predictive analytics, machine learning, and artificial intelligence models using standard statistical packages or languages (R, Python, MATLAB, SAS, SPSS, etc.)
              Proficient in Microsoft Office
            • -
            -

            Keys to your success:

            -

            -
              -
            • Strong analytical skills and attention to detail
            • -
            • Highly motivated to learn and succeed in a fast-paced environment
            • -
            • Curiosity, healthy skepticism, creativity, and attention to detail.
            • -
            • Committed, able to work independently with minimal supervision and flexible to cope with changing priorities and strict deadlines.
            • -
            • Excellent verbal and written communication skills.
            • -
            • Skilled in building a network and working relationships internally and externally.
            • -
            • Willingness and ability to travel internationally as required.
              -
            • -
            -

            Learn more about where a career at KPMG can take you.

            -

            -

            #LI-AS1

            -


            Our Values, The KPMG Way

            -

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

            -

            -

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

            -

            -

            If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support at email: cdnersteam@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778 Option 3.

            -

            -

            For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

            ",,https://careers.kpmg.ca/professionals/jobs/6518?lang=en-us,aimasters@vectorinstitute.ai,https://home.kpmg/ca/en/home/careers.html,,,2021-01-01T18:53:16.839Z,False,0,17,109,https://talenthub.vectorinstitute.ai/jobs/42899811-consultant-senior-consultant-data-analytics-deal-advisory-at-kpmg,,expired,2020-12-02T18:53:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, -427d1a20-36a8-49b9-9076-b7b676fabc00,43135425,Deep Genomics,Graduate Research Intern (Machine Learning),on_site,"Toronto, ON, Canada",2020-12-03T21:48:53.262Z,"

            About us

            Deep Genomics is a Toronto-based startup company that is changing the future of medicine using artificial intelligence. Founded in 2015, Deep Genomics brings together a multidisciplinary team of world-leading experts in machine learning, genomics, chemistry and biology. Together we are on a mission to develop an AI-powered platform for rapid discovery and development of the best genetic medicines, focusing on oligonucleotide drugs for the treatment of patients with rare genetic diseases.

            Job Description

            We are seeking exceptional graduate students for an 8 to 12-month internship in 2020. Deep Genomics is poised to become the foremost AI-powered genetic medicine company by using data-driven approaches at every step of the drug design process. This involves a series of steps from processing raw genomic data, to training and evaluating large-scale machine learning models and applying them to accelerate target discovery and drug design. With the help of experimental data generated as part of our drug discovery process, our models continuously improve by learning from both successes and failures. Successful candidates will have an opportunity to contribute to the AI revolution in Genomics and help better understand and cure genetic disease by working closely with our research scientists and engineers on problems that are highly relevant to our mission.
            Our ML team works on developing our state-of-the-art AI workbench and using it to answer critical scientific questions. Collaboration is at the heart of our teams, we often:- Meet with engineers and scientists with genomics, molecular biology, and medicine backgrounds to identify unique problems and brainstorm technical solutions- Present our analyses to a broad multi-lingual audience to ensure statistical robustness and reproducibility- Organize internal hackathons to quickly prototype solutions to problems

            -

            -

            Requirements

            -
                -
              • Currently enrolled in a graduate program at a top-tier university in Computer Science, Electrical or Computer Engineering, Mathematics, or a related discipline.
              • -
              • Experience with designing, training, debugging and evaluating neural networks using modern frameworks such as Tensorflow or PyTorch.
              • -
              • Excellent scientific writing and presentation skills.
              • -
              • Programming experience in at least one of Python, C or C++
              • -
              • Strong organizational, interpersonal, and communication skills.
              • -
            -

            What we offer

            -
                -
              • Opportunity to collaborate with leading scientists working at the intersection of ML and genomics and contribute to this rapidly advancing field
              • -
              • Inspiring, creative and fast-moving startup located right next to the University of Toronto and within the MaRS Discovery District – an expanding hub of research in AI and genomics
              • -
              • Competitive compensation package
              • -
            -

            Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.
            Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

            ",,https://jobs.lever.co/deepgenomics/f838dbb2-da2f-4b4b-ac57-2585a7128f91,aimasters@vectorinstitute.ai,https://www.deepgenomics.com/careers/,,,2021-01-02T22:31:00.000Z,False,0,27,125,https://talenthub.vectorinstitute.ai/jobs/43135425-graduate-research-intern-machine-learning-at-deep-genomics,,expired,2020-12-03T21:48:00.000Z,admin,Scaling (20-499),Application Click Through,Health,Internship/Co-op,Bachelors Degree,Re-Posting an Expired Job, -f16fd333-7655-4905-835d-1021e241db21,43552463,Google,"Research Intern, PhD, Summer 2021",on_site,"Toronto, ON, Canada",2020-12-07T14:41:49.640Z,"

            -

            -

            Participation in the internship program requires that you are located in Canada for the duration of the internship program

            -

            This internship is intended for students who are pursuing a Master's degree with an anticipated graduation date on or after December 2021, depending on their program and unique circumstances.

            -

            To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):

            -
              -
            • 1. In the “Resume Section:” attach an updated CV or resume.
              • Ensure any proficiency in coding languages are listed on resume.
              -
            • -
            • 2. In the “Education Section:” attach a current or recent unofficial or official transcript in English.
              • Under “Degree Status,” select “Now attending” to upload a transcript.
              -
            • -
            -


            Note: By applying to this position your application is automatically submitted to the following locations: Toronto, ON, Canada; Waterloo, ON, Canada; Montreal, QC, Canada

            -

            -

            Qualifications

            -

            Minimum qualifications:

            -
              -
            • Currently enrolled in a PhD degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences or a related technical field.
            • -
            • Experience in one or more areas of computer science, such as Natural Language Understanding, Neural Networks, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Privacy, Trust & Safety, Software Engineering or similar.
            • -
            • Experience with one or more general purpose programming languages including: C/C++, Java, MATLAB, Go, Python or similar.
            • -
            -

            Preferred qualifications:

            -
              -
            • Available to work full time for a minimum of 12 weeks outside of university term time and returning to a degree program after completion of the internship.
            • -
            • Contribution to research communities or efforts, including publishing papers in major conferences or journals.
            • -
            • Relevant work experience, including internships, full time industry experience or as a researcher in a lab.
            • -
            • Ability to design and execute a research agenda.
            • -
            • Ability to speak and write in English fluently and idiomatically.
            • -
            -

            About the job

            -

            Join us for a 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. Research happens across Google everyday, in many different teams. Our research has already impacted user-facing services across Google including Search, Maps and Google Now, and is central to the success of Google Cloud and our planet-scale computing, storage, and networking infrastructure.

            -

            Research Interns aren't cloistered in the lab, but instead they work closely with Software Engineers to discover, invent, and build at the largest scale. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, Research Interns and Software Engineers work on challenges in artificial intelligence, machine perception, data mining, machine learning, natural language understanding, privacy, computer architecture, networking, operating systems, storage and data management, and much more. As a Research intern, you will work on a specific project critical to Google’s needs. You might also stay connected to your research roots as a contributor to the wider research community by publishing papers.

            -

            There is always more information out there, and our research teams have a quest to find new ways to make it accessible and useful. We're constantly refining our signature search engine to provide better results, expanding the scope and utility of our data-analytics systems, enhancing our Cloud applications and infrastructure, among a broad range of other Google products.

            -

            Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.

            -

            Responsibilities

            -
            • Participate in cutting edge research to develop solutions for real-world, large-scale problems.
            -

            ",,https://careers.google.com/jobs/results/102545143061455558/?utm_medium=direct_message&utm_source=email&utm_campaign=researchphdinterncan-postevent&src=Online/TOPs/NA%20Tech%20University%20Email,aimasters@vectorinstitute.ai,https://careers.google.com/,,,2021-01-06T23:13:50.943Z,False,0,15,71,https://talenthub.vectorinstitute.ai/jobs/43552463-research-intern-phd-summer-2021-at-google,,expired,2020-12-07T14:41:00.000Z,admin,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,PhD,Re-Posting an Expired Job, -b0974770-0a32-45f8-8c8a-41a8c5375178,43554044,Canvass Analytics Inc.,Machine Learning Engineer,on_site,"Toronto, ON, Canada",2020-12-07T14:58:03.269Z,"

            A Leader in Automating Intelligent Industrial Operations

            -

            At Canvass Analytics, we are disrupting the way industrial operational data is being used to make critical business decisions. Our disruptive, leading edge AI-powered analytics platform transforms plant operations, giving them predictive insights that enable autonomous operations.

            -

            -

            Canvass AI software platform is empowering Fortune 1,500 industrial companies to transform industrial engineers into digital engineers who are driving data driven decisions in day to day operations. Canvass Analytics’ customers include leading energy, manufacturing, food and ag, oil and gas, and metals and mining companies around the globe.

            -

            -

            We’re an agile scale-up with the operational intelligence of a global business. As we accelerate rapidly, we are constantly looking for driven and ambitious innovators to join our team.

            -

            Things you should know about our tech

            -

            -
              -
            • We don’t build machine learning pipelines to solve specific problems: we create pipelines that are able to solve classes of industrial data problems
            • -
            • We use Keras, SciKit-Learn, XGBoost, SHAP and regularly research and add new libraries to our stack
            • -
            • Our pipelines and microservices are developed predominantly with Python
            • -
            • We use Kubeflow to build flexible ML pipelines and Kafka for data pipelines
            • -
            • We use CircleCI to continuously test, integrate and deploy code changes, including ML
            • -
            -

            -

            What we’re looking for:

            -

            -

            We’re looking for candidates with:

            -
              -
            • Experience applying machine learning and deep learning algorithms to time-series problems
            • -
            • Strong knowledge of probability and statistics, plus a passion for working with data
            • -
            • The ability to implement feature engineering and data transformations at scale
            • -
            • Solid Python development skills, including experience with NumPy, Pandas and one or more ML libraries
            • -
            • An understanding of microservice architecture and containerization
            • -
            • A proven track record of delivering well-designed and tested software
            • -
            -

            -

            Who you are:

            -

            -

            In general, we’re looking for developers that exemplify these qualities:

            -
              -
            • Activation & Engagement Our developers are critical to the progress of our application and our business. We expect our developers to maintain focus on the business impact of their changes and advocate for work that will drive outcomes instead of just output.
            • -
            • Teamwork & Collaboration Our teams are small and extremely collaborative. Developers work very closely with a small number of other developers, a designer, and a product manager to meaningfully impact the business every week.
            • -
            • Excellence & Craft Software development is more than checking features off a list of requirements. We need our developers to build systems that are accessible to new teammates and extensible so that they can evolve with our business. We want our developers to take pride in what they build.
            • -
            • Communication & Leadership A developer can have a large impact by helping to grow the abilities and understanding of their teammates. We’re looking for people who can deliver learning sessions to introduce their technical teammates to new concepts and who can explain and contextualize their work to teammates outside of engineering.
            • -
            -

            -

            Your Benefits

            Some of the benefits you can expect as part of our team include:

            -
              -
            • Awesome team and culture (every day)
            • -
            • Generous time off, including vacation and personal days to help rejuvenate
            • -
            • Extended health benefits, including drug coverage, dental coverage, and Health Spending Account
            • -
            • Flexible office policy, with options to work remotely
            • -
            • Attend Conferences to extend your knowledge and skills
            • -
            • Company-provided MacBooks and standing desks
            • -
            • Top technology and tools to excel at your role
            • -
            • Free team lunches
            • -
            -

            -

            Why Join Canvass?

            -

            -

            Canvass Analytics is using AI to automate operations for the Industrial sector. We are changing the way industry thinks and uses AI, and it’s getting noticed everywhere. We’ve been recognized by Network World as a Top 10 Hot AI-Powered IoT Startups and by Canadian Innovation Exchange as a Top 20 Most Innovative Canadian Company. Canvass is backed by Google’s Gradient Ventures.

            -

            -

            What's it like working at Canvass?

            -

            -

            This is a place where everyone is all in. From the CEO to the newest hire, we all pitch in where needed and do what it takes. We are a relatively flat organization where everyone is invited to the table, to listen in and be part of the conversation and decisions. We have an inclusive culture.

            -

            -

            Apply Now

            -

            -

            Think this job is meant for you but worried you don’t have it all? If you feel you meet 70% of the qualifications listed and you are an innovative team player, express your interest here and we promise to consider your full profile.

            -

            -

            You can also follow us on Twitter or LinkedIn to learn more about us.

            -

            -

            Canvass Analytics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

            -

            Apply for this position

            -

            Resume/CVATTACH RESUME/CV.pdf or .doc (Max 15MB)First NameLast NameEmailPhoneLinkedIn URLGitHub URLPortfolio URLOther Website

            ",,https://www.canvass.io/machine-learning-engineer-job,aimasters@vectorinstitute.ai,,,,2021-01-06T23:12:27.026Z,False,0,18,71,https://talenthub.vectorinstitute.ai/jobs/43554044-machine-learning-engineer-at-canvass-analytics-inc,,expired,2020-12-07T14:58:00.000Z,admin,Scaling (20-499),Application Click Through,Software,Associate,Bachelors Degree,Re-Posting an Expired Job, -a7b8ad0d-00e8-4677-98a3-19f9ab367d4b,43573383,Sun Life Financial,Senior Business Intelligence Analyst,on_site,"Toronto, ON, Canada",2020-12-07T18:48:43.412Z,"

            You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

            -

            -

            -

            Job Description:

            -

            Role Summary:

            -

            -

            Come be part of an exciting and challenging opportunity by helping to accelerate the growth and application of data analytics capabilities at Sun Life Canada. As part of the Sun Life Distribution Analytics team, you will have the opportunity to be at the forefront of applying data and analytics to tackle business problems. You will be helping Sun Life use analytics to deliver on our purpose of helping our Clients achieve lifetime financial security and live healthier lives.

            -

            -

            Reporting to the Director, Distribution Analytics, the Senior Analyst is responsible for providing data and insights to our internal clients, developing innovative visual analytics solutions and enabling faster and better decision making for Sun Life.

            -

            -

            The position will be located at the Sun Life office in Toronto or Waterloo.

            -

            -

            What will you do?

            -
              -
            • Build out comprehensive business intelligence & reporting for Distribution leadership & sales org, keeping in mind the needs of varied audiences and the desire to drive action & sales.
            • -
            • Provide plans and estimates for reporting initiatives.
            • -
            • Maintain standards for analysis and reporting at all levels including best practice data visualization techniques.
            • -
            • Turn complex data into easy to understand visual insights that are aligned to business objectives.
            • -
            • Enable visual storytelling through Tableau and visual analytics tools.
            • -
            • Ensure that business and technical requirements are captured in proper documentation and maintained.
            • -
            -

            -

            What will you need to succeed?

            -
              -
            • 5+ years' experience in data analytics and business intelligence.
            • -
            • Experience in using data analysis tools such as Microsoft SQL server, SAS EG or similar.
            • -
            • Must be proficient in SQL coding to query and analyze data. Must have experience in creating dashboards and stories in Tableau.
            • -
            • Visual design expertise with a solid understanding of the best practices around dashboards and visual perception.
            • -
            • Experience in working in an agile development environment including rapid prototyping during sprints.
            • -
            • Degree in computer science, statistics, mathematics, engineering or equivalent is required.
            • -
            -

            -

            Competencies:

            -
              -
            • Ability to work independently, manage engagements or parts of large engagements directly with business partners.
            • -
            • Solid understanding of how to consolidate and transform data to meaningful and actionable information
            • -
            • Ability to draw out meaningful business insights by synthesizing information from multiple sources
            • -
            • Strong oral and written communication skills, including presentation and storytelling with data
            • -
            • Demonstrated ability to transform User Stories into smart and elegant analytical apps for decision making
            • -
            • Demonstrated experience in development of analytics applications or data analysis, including insights development and communication to senior leadership
            • -
            • Strong problem solving and troubleshooting skills with the ability to exercise mature judgment.
            • -
            • A willingness to listen, challenge, communicate, and respect team member's ideas and opinions openly.
            • -
            • Comfortable with ambiguity and effective in delivering iterative solutions.
            • -
            -

            -

            What is in it for you?

            -
              -
            • Competitive salary and bonus structure influenced by market range data
            • -
            • Entitlement to flexible benefits, pension, stocks, savings and 4 weeks vacation
            • -
            • A friendly, collaborative and inclusive culture
            • -
            • Being part of our Analytics community, where we share best practices and broaden skill-sets
            • -
            -

            -

            The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

            -

            -

            Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

            -

            -

            Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

            -

            -

            We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

            ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Business-Intelligence-Analyst_JR00036652?utm_source=Vector_Institute,aimasters@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2020-12-21T17:35:00.000Z,False,0,1,19,https://talenthub.vectorinstitute.ai/jobs/43573383-senior-business-intelligence-analyst-at-sun-life-financial,,expired,2020-12-07T18:48:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -3d07cdbc-a07a-4c12-9697-b14d2edc5d18,43879574,Google,Customer Engineer - Healthcare AI /Data Engineering☑️,on_site,"Toronto, ON, Canada",2020-12-09T21:49:26.262Z,"

            About the team

            -

            Who are we?

            -

            Global Public Sector, Healthcare and Higher Education, Google Cloud Canada

            -

            Our mission

            -

            Google Cloud provides organizations with leading infrastructure, platform capabilities and industry solutions. We deliver enterprise-grade cloud solutions that leverage Google’s cutting-edge technology to help companies operate more efficiently and adapt to changing needs, giving customers a foundation for the future. Customers in more than 150 countries turn to Google Cloud as their trusted partner to solve their most critical business problems.

            -

            -

            About the job

            -

            Job category:

            -

            Technical Solutions Consulting

            -

            Job specialty:

            -

            Customer Engineering, Analytics/AI/ML

            -

            Job family:

            -

            Enterprise Sales Engineering Specialists

            -

            Primary location:

            -

            Toronto

            -

            Other locations:

            -

            Canada - Remote, Ontario | Canada - Remote, Quebec | Montreal

            -

            Job responsibilities

            -
              -
            • Work to identify and qualify business opportunities, understand key customer technical objections, develop a strategy to resolve technical blockers, and travel to customer sites as required.
            • -
            • Provide in-depth Healthcare technology expertise to support the technical relationship with Google’s customers, including product and solution briefings, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
            • -
            • Guide customers through assessments of their existing legacy application environments, provide recommendations on a prioritization roadmap for an end to end solution, and identify and define components from Google Cloud.
            • -
            • Create detailed and prescriptive architectures for healthcare cloud solutions.
            • -
            • Structure and execute workshops to prove out proposed new architectures, prototypes, develop best practices, and document key blocking requirements for prioritization with engineering.
            • -
            -

            -

            What makes this job unique at Google

            -

            As a Sales Engineer, you will work hand-in-hand with technical Sales teams as an Healthcare cloud subject matter expert to differentiate and paint the vision of Google Cloud to our customers. You will help prospective customers and partners understand the power of Google Cloud, explain technical features, help customers design architectures, engage in proof of concepts, and troubleshoot potential roadblocks.

            -

            -

            Qualifications

            -

            Minimum qualifications

            -

            You must meet these minimum qualifications to apply for this job

            -
              -
            • Bachelor's degree in Computer Science or equivalent practical experience.
            • -
            • 5 years of experience in the healthcare industry in a customer facing cloud computing role.
            • -
            • Experience working with web/internet technologies, architecture across SaaS, PaaS, IaaS, on-prem and cloud productivity suites.
            • -
            -

            Preferred qualifications

            -

            Having as many of these specific qualifications is a plus, but transferable skills/experiences may be equally valuable

            -
              -
            • Master's degree in Computer Science, Health Informatics or other technical field.
            • -
            • Experience with application development, cloud service delivery/deployment, converged infrastructure, virtualization systems, and containers.
            • -
            • Knowledge of HIPAA, OSHA, GMP and other legal regulations around healthcare data and common healthcare data exchange formats (e.g., SDTM, ADaM, HL7, FHIR, CCDA), Big Data/ML/AI related to healthcare and Clinical Trials, and healthcare compliance.
            • -
            • Knowledge of solution architecture within web/mobile environments.
            • -
            • Ability to influence technical/non-technical audiences and deliver results in cross-functional/matrixed environments.
            • -
            • 10 years of Healthcare industry experience in Genomics, Healthcare AI, Clinical Trials or Medical Devices space
            • -
            -

            Required skills

            -

            Cloud, Healthcare Vertical, AI Platform, AI Algorithms

            -

            ",vandervaart@google.com,,aimasters@vectorinstitute.ai,https://careers.google.com/,,,2021-01-09T00:36:05.230Z,False,10,0,329,https://talenthub.vectorinstitute.ai/jobs/43879574-customer-engineer-healthcare-ai-data-engineering-at-google,,expired,2020-12-09T21:49:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Technology (Information and Media),Mid-Senior Level,Bachelors Degree,New Posting, -662b267d-474d-4372-9b63-93353bd81cc2,43900622,Accenture,Data Science Senior Manager,on_site,"Ontario - Toronto,Quebec - Montreal",2020-12-10T06:21:24.980Z,"

            Job Description

            Job Description – Data Science Senior Manager

            -

            -

            Location: Montreal, Ottawa & Toronto

            -

            -

            Job Description Overview

            -

            We Are:

            -

            The people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Visit us here to find out more about Applied Intelligence.

            -

            -

            You Are:

            -

            An expert at solving real-world challenges with data, analytics, AI/ML and creativity. Yes, creativity! You know the theory and you have hands-on expertise from studies, experience and/or self-taught projects. And you’re all about helping clients scale data into value.

            -

            -

            What You’ll Do:

            -
              -
            • Provide hands-on technical thought leadership, solve large & complex business problems and drive actionable insights for clients

              -
            • -
            • Prototype & scale AI/ML solutions in production cloud environment to meet business needs
            • -
            • Stay abreast of AI/ML technologies, academic researches & hands-on techniques
            • -
            • Participate in development of innovative solutions for clients across functions & industries
            • -
            -
            READ MORE OF THE JOB DESCRIPTION

            -
            -

            Qualifications

            -

            What We’re Looking For:

            -

            -
              -
            • At least 10 years embracing challenges with data science lifecycle in enterprise setting
            • -
            • At least 8 years developing & implementing AI/ML models, including professional experience with recommender engine, natural language processing, optimization & operational research, computer vision and deep & classical machine learning
            • -
            • At least 8 years working with data science tools: e.g. Python, Plotly, Flask & Git
            • -
            • At least 8 years designing & operating tools & services in cloud environments: e.g. GCP, Azure, AWS & Databricks
            • -
            • At least 8 years storytelling with data and communicating findings to a non-technical audience
            • -
            -

            -

            -

            Bonus Point If:

            -

            -
              -
            • Graduate degree in data science or related disciplines: e.g. Applied Mathematics, Statistics, Computer Science, Economics, Engineering and Physics
            • -
            • A blend of data science capability, consulting expertise and industry experience (e.g. retail, CPG & loyalty)
            • -
            • Drive to learn and master new technologies and techniques
            • -
            -

            -

            We are a global collective of innovators applying the New every day to improve the way the world works and lives. Help us show the world what’s possible as you partner with clients to unlock hidden value and deliver innovative solutions. Empowered with innovative tools, continuous learning and a global community of diverse talent and perspectives, we drive success in a new business architecture that disrupts conventional practices. Our expertise spans 40+ industries across 120+ countries and impacts millions of lives every day. We turn ideas into reality.

            -

            To learn more about Accenture, and how you will be challenged and inspired from Day 1, please visit our website at accenture.ca/careers

            -

            It is currently our objective to assign our people to work near where they live. However, given the nature of our business and our need to serve our clients our employees must be available to travel when needed.

            -

            -

            Accenture does not discriminate on the basis of race, religion, color, sex, age, non-disqualifying physical or mental disability, national origin, sexual orientation, gender identity or expression, or any other basis covered by local law. Accenture is committed to providing employment opportunities to current or former members of the armed forces.

            -

            -

            We are committed to employment equity. We encourage all people, including women, visible minorities, persons with disabilities and persons of aboriginal descent to apply.

            -

            -

            Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions — underpinned by the world’s largest delivery network — Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 469,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at www.accenture.com.

            -

            -

            -
            -

            Locations

            Ontario - Toronto,Quebec - Montreal
            -
            -
            -

            Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

            -

            Equal Employment Opportunity Statement

            -

            All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

            -

            Accenture is committed to providing veteran employment opportunities to our service men and women.

            -

            Requesting An Accommodation

            -

            Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

            -

            If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

            -

            Other Employment Statements

            -

            Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

            -

            The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

            ",,https://www.accenture.com/ca-en/careers/jobdetails?id=00882630_en&title=Data+Science+Senior+Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2020-12-21T17:51:00.000Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/43900622-data-science-senior-manager-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=00882630_en&title=Data+Science+Senior+Manager,expired,2020-12-10T06:21:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,New Posting, b5343dc1-cd3b-4e4a-b23a-c5b484e457da,43900638,Loblaw Companies Ltd.,"CO-OP, Data Science Analyst, Finance Analytics",on_site,"1 Presidents Choice Circle, Brampton, ON",2020-12-10T06:21:34.758Z,"
            @@ -32878,6 +39951,671 @@ ddca74df-4d30-41be-8b97-ba71adfea541,50746267,Google,"Research Intern, Masters,
          • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
          • ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Analyst--Data-Management-and-Analytics-Enablement_2101519-1,aimasters@vectorinstitute.ai,https://www.cibc.com/en/about-cibc/careers.html,,,2021-02-25T13:29:00.000Z,False,0,2,13,https://talenthub.vectorinstitute.ai/jobs/51337958-analyst-data-management-and-analytics-enablement-at-cibc,,expired,2021-02-16T20:21:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +ac39168d-b39c-4583-980f-ba5ee4ac56eb,51337995,CIBC,"Consultant, Big Data Development",on_site,"Toronto, ON, Canada",2021-02-16T20:22:04.169Z,"

            We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

            +

            +

            At CIBC, we embrace your strengths and your ambitions so you feel empowered at work. Our team members have what they need to make a meaningful impact and feel truly valued for who they are and what they contribute.

            +

            +

            To learn more about CIBC, please visit CIBC.com

            +

            +

            Job Description

            +

            +

            What You’ll Be Doing

            +

            +

            In this role, you will join the CIBC’s Enterprise Data Hub team and you’ll design, build, implement and maintain solutions that support and enhance of the enterprise Data Lake capabilities. You will support data initiatives both on Hadoop Cloudera Distribution as well as Microsoft Azure. As Consultant/ Application Developer, you will support the design and development of various initiatives across the Big Data Portfolio.

            +

            +

            How You’ll Succeed

            +
              +
            • +Develop & Design - Lead the design and development of specifications, develop and build code, perform code reviews. Test, debug, document, and manage changes to ensure the successful implementation and maintenance of programs.
            • +
            • +Analyzing Business Requirements - Research and analyze business requests and recommend solutions.
            • +
            • +Coordination - Participate in production and user acceptance testing support to troubleshoot complex problems on applications and technologies. Effectively interact with stakeholders, end users, business analysts, and technical resources to gather requirements and prepare design specifications as instructed by senior team members. Coordinate change ticket implementations.
            • +
            +

            +

            Who You Are

            +
            • +You can demonstrate experience :

              +
                +
              • At least 4-6 years of hands-on development expertise with Core Java or Scala as well as Python and SQL.
              • +
              • You also have technical experience with Maven, Jenkins, Github, JFrog and Bash.
              • +
              • You have at least 2 years working experience with Big Data technologies such as Hadoop, Hive, HBase, Oozie, HiveQL, Hive UDFs, Sqoop, Spark, Impala.
              • +
              +
            +

            It’s an asset if you have previous experience building scalable Data frameworks in Azure Cloud technologies as Azure Data Factory, DataBricks, Nifi, Azure Data Lake Storage, Azure Blob, Azure Devops, Azure Monitor, Azure Synapse, Azure Data Catalogue/Purview, CosmosDB.

            +
              +
            • +You’re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
            • +
            • +You give meaning to data. You enjoy investigating complex problems, and making sense of information. You're confident in your ability to communicate detailed information in an impactful way.
            • +
            • +Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.
            • +
            • +You're driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of a team that enjoys working together to create a shared vision. You are passionate about client service - You want the work you do each day to result in a positive client experience.
            • +
            +
              +
            • +You have a degree/diploma in Computer Science.
            • +
            • +Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability
            • +
            +

            +

            What CIBC Offers

            +

            +

            At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

            +
              +
            • +Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
            • +
            • +Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity
            • +
            • +Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, and individual development planning.
            • +
            • +Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan
            • +
            +

            +

            What You Need to Know

            +
              +
            • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation during the application or interview process, please contact Mailbox.careers-carrieres@cibc.com +
            • +
            • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
            • +
            +

            ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Consultant--Big-Data-Development_2100507-1,aimasters@vectorinstitute.ai,https://www.cibc.com/en/about-cibc/careers.html,,,2021-02-25T13:26:00.000Z,False,0,3,16,https://talenthub.vectorinstitute.ai/jobs/51337995-consultant-big-data-development-at-cibc,,expired,2021-02-16T20:22:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +eb863246-dcc0-4fd3-bd12-e045a87046a2,51339169,BMO Financial Group,"Analyst, Fraud Analytics, Cards Liaison",on_site,"Toronto, ON, Canada",2021-02-16T20:31:30.136Z,"

            Address:

            +

            55 Bloor Street West

            +

            +

            +

            Job Family Group:

            +

            Data Analytics & Reporting

            +

            +

            +

            The Financial Crimes Unit (FCU) brings together our Cybersecurity, Fraud, Physical Security and Resilience Planning capabilities to address the ever-growing and increasingly complex global security environment. It is a highly collaborative effort that greatly enhances BMO’s ability to rapidly prevent, detect, respond to, and recover from all security & crisis threats. This position offers a unique experience to learn from experienced leaders in the industry, join a team building the 21st century model for security and helping grow the good by protecting our customers and communities.

            +

            +

            +

            Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

            +
              +
            • Builds effective relationships with internal/external stakeholders.
            • +
            • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
            • +
            • Designs, develops, and implements innovative analytical solutions.
            • +
            • Designs and produces regular and ad-hoc reports, and dashboards.
            • +
            • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
            • +
            • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
            • +
            • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
            • +
            • Analyzes data and information to provide subject-matter insights and recommendations.
            • +
            • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
            • +
            • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
            • +
            • Builds effective relationships with internal/external stakeholders.
            • +
            • Collaborates with internal and external stakeholders in order to deliver on business objectives.
            • +
            • Focus may be on a business/group.
            • +
            • Thinks creatively and proposes new solutions.
            • +
            • Exercises judgment to identify, diagnose, and solve problems within given rules.
            • +
            • Works mostly independently.
            • +
            • Broader work or accountabilities may be assigned as needed.
            • +
            +

            +

            Qualifications:

            +
              +
            • Typically between 3 – 5 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
            • +
            • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Good.
            • +
            • Specialized knowledge from education and/or business experience.
            • +
            • Verbal & written communication skills - In-depth.
            • +
            • Collaboration & team skills - In-depth.
            • +
            • Analytical and problem solving skills - In-depth.
            • +
            • Influence skills - In-depth.
            • +
            +

            +

            +

            We’re here to help

            +

            +

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

            +

            +

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

            +

            +

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

            +

            +

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

            ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Analyst--Fraud-Analytics--Cards-Liaison_R210003443,aimasters@vectorinstitute.ai,https://bmocareers.com/,,,2021-03-08T16:31:00.000Z,False,0,6,27,https://talenthub.vectorinstitute.ai/jobs/51339169-analyst-fraud-analytics-cards-liaison-at-bmo-financial-group,,expired,2021-02-16T20:31:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +0c567588-f743-40a0-832c-75f1323528ed,51890039,Roche,Computational Biologist - Statistical Geneticist,on_site,"Mississauga, ON, Canada",2021-02-22T14:32:43.551Z,"

            Title: Computational Biologist - Statistical Geneticist

            +

            Department: Global IT Solution Center

            +

            Location: Mississauga Head Office

            +

            Duration: Full time

            +

            +

            Project

            +

            Seeking an interdisciplinary scientist with experience in computing and statistical genetics to perform scientific data analyses in partnership with the Human Genetics Department of Genentech Research and Early Development (gRED) from the Roche Canada office in Mississauga, Ontario.

            +

            The successful candidate will evaluate, prototype, and implement cutting-edge statistical methods (and pipelines) to analyze large-scale genetic, genomic, and proteomic datasets. The candidate will also work with a team of scientific software engineers who will support the development of these methods into production-scale pipelines. Areas of focus will include GWAS analysis methods (fine-mapping, eQTL/pQTL co-localization, local ancestry based mapping); analysis of functional genomic data (epigenetic data and genome-wide CRISPR screen analysis) and integration with GWAS summary statistics; and analysis of gene-networks and pathways.

            +

            +

            Required Skills and Experience

            +
              +
            • PhD in Human Statistical Genetics (or related field). MSc and significant experience also accepted. Postdoctoral experience preferred.
            • +
            • Ability to produce high-quality work with minimal supervision; this includes meeting reasonable deadlines and making sensible independent decisions.
            • +
            • Unix/Linux proficiency.
            • +
            • Fluent in R, Python, and shell scripting.
            • +
            • Familiarity with current Human Genetics methods and literature.
            • +
            • The ability to read and interpret Human Genetics publications to understand the latest tools.
            • +
            • Excellent communication, advanced English reading, writing, and speaking skills.
            • +
            • Desire to learn more about Human Genetics, Bioinformatics, and Biology
            • +
            +

            +

            Desired Skills and Experience

            +
              +
            • Familiarity with C++.
            • +
            • Experience with Bioconductor libraries.
            • +
            • History of scientific authorship. (First, middle, and senior author articles all beneficial.)
            • +
            • Experience with version control (git).
            • +
            • Experience with High Performance Computing (eg. Slurm).
            • +
            • In your cover letter, please highlight publications/experience with GWAS, functional genomics analysis, and gene networks + pathways.
            • +
            +

            +

            List of Duties

            +
              +
            • Evaluate alternative analytical methods relevant to the needs of Genentech Human Genetics scientists.
            • +
            • Implement working analysis pipelines that run existing/published tools.
            • +
            • Develop new tools in R or python under the guidance of Genentech Human Genetics scientists
            • +
            • Use git to track code, document the code along with examples of running the code, and provide demos to the analysts in HG group who will be using the pipelines
            • +
            • Study publications related to the tools to gain deeper understanding of how they work
            • +
            • Implement methods and pipelines at scale to deliver statistical analyses
            • +
            • Interact with software engineers, contribute to pipeline design documentation, clarify implementation requirements, and guide them in developing production level versions of the pipeline for wider use
            • +
            +

            +

            Our offer

            +
              +
            • Dynamic and prestigious work environment, interesting projects using the newest technologies, all within a global IT function.
            • +
            • Opportunity to design and implement software solutions for the world’s largest biotech company that transforms patients’ lives.
            • +
            • Attractive and competitive salary and package.
            • +
            • Professional development culture supported by training, development plans, and international opportunities.
            • +
            • Join the growing team of Roche Canada scientists and be a part of the groundbreaking research happening at Genentech Research and Early Development (gRED).
            • +
            +

            Please submit your full academic CV with publication history and cover letter.

            +

            In your cover letter please highlight key scientific publication(s) (or experiences) that emphasize your personal biological and computational scientific contributions to the Statistical Genetics field.

            +

            +

            +

            Position will be posted until filled.

            +

            +

            NOTE: All employment is conditional upon the completing and obtaining a satisfactory background check, including educational, employment, references and criminal records (for which a pardon has not been granted) checks.

            +

            +

            AGENCY NOTICE: Please note that Roche Canada does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Services Agreement with agency/recruiter, Roche Canada will not consider or agree to payment of any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without a previously signed agreement, Roche Canada explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.

            +

            +

            Roche is an equal opportunity employer.

            +

            Information Technology, Information Technology > Application Development / Programming

            ",,https://www.roche.com/careers/jobs/jobsearch/job.htm?id=E-202009-123810&locale=en&title=Computational+Biologist+-+Statistical+Geneticist&APPLICANT_SOURCE-3-722,aimasters@vectorinstitute.ai,https://www.roche.com/careers.htm,,,2021-03-24T14:32:44.995Z,False,0,1,22,https://talenthub.vectorinstitute.ai/jobs/51890039-computational-biologist-statistical-geneticist-at-roche,,expired,2021-02-22T14:32:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Associate,Bachelors Degree,Re-Posting an Expired Job, +60af233b-cde1-45f7-875e-7ea13a9726c2,51894692,Ada,NLP Principal Machine Learning Scientist (Remote Available),on_site,"Toronto, ON, Canada",2021-02-22T14:54:53.433Z,"

            We’re Ada. We’re an ambitious team based out of Toronto that enables businesses around the world to provide incredible customer service. Our AI-powered platform has automated more than 75 million+ conversations for companies like Shopify, TELUS, Upwork, and Zoom – and we’re just getting started.
            You can learn more about the founding of our company here. Just as the field of machine learning continues to advance, so do we. And it is the passion of our people and dedication to our craft that continues to drive our dramatic growth.

            We are inspired every day by the opportunity to pioneer a new industry, and welcome those who want to join us.

            As a Principal Machine Learning Scientist on our Machine Learning team, you will play a major role in leading the technical direction for Ada’s machine learning technologies and research initiatives. You will help define the long-term strategic objectives for our team, and your work will impact the experience of millions of customers.

            We're looking for someone who is passionate about leading innovative and applied ML research for a world class chat automation platform. You will be expected to bring an expert technical perspective, as well as a product-centric approach. Along with having a high impact through your own projects, you will help elevate the work of others through improving the data science and research practices on the team.

            +

            +

            About You:

            +
                +
              • 5+ years (or equivalent) experience as a Machine Learning Researcher/Engineer
              • +
              • Profound understanding of technologies and research in NLP, ML, and dialog
              • +
              • Recognized as a thought leader within the industry/research community
              • +
              • An accomplished technical contributor looking to hone your craft and influence the work of others
              • +
              • Contributor to highly referenced ML research or open source ML tooling
              • +
              • Highly skilled in Python and Pytorch
              • +
            +

            Outcomes:

            +
                +
              • Define and lead ambitious, novel, high-impact ML research projects that result in product innovations and research publications
              • +
              • Become a leader of the technical direction for Ada’s ML technologies
              • +
              • Accelerate the growth of your ML teammates through guidance, feedback, and leading by example
              • +
              • Identify opportunities for improving our existing products and innovating towards the next ones
              • +
            +

            #LI-MH
            About Us
            Ada is a rapidly growing company located at Spadina and Adelaide in Toronto, Canada’s thriving AI ecosystem. We are backed by world-class investors, including Accel, Bessemer Venture Partners and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company. Our work is rooted in authenticity, courage, empathy, and simplicity. We use these values to create a culture that encourages groundbreaking results, career progression, and community investment.
            Ada is an equal opportunity employer. In fact, diversity is what drives our success – it’s at the core of how we hire, communicate, and work. Like our Platform, we are inclusive to all, and combine our diverse backgrounds, skill sets and thinking to build the best experiences for our clients and their customers.

            ",,https://jobs.lever.co/ada/74078995-c7ab-4a57-a418-96d15eec5339,aimasters@vectorinstitute.ai,https://www.ada.support/careers,,,2021-03-24T14:54:54.650Z,False,0,7,54,https://talenthub.vectorinstitute.ai/jobs/51894692-nlp-principal-machine-learning-scientist-remote-available-at-ada,,expired,2021-02-22T14:54:00.000Z,admin,Scaling (20-499),Application Click Through,Technology (Product Development),Senior Level,Bachelors Degree,Re-Posting an Expired Job, +fcac4433-a9bd-49e9-b128-c5d32bbc4603,51902562,Ada,Senior Data Engineer,on_site,"Toronto, ON, Canada",2021-02-22T19:17:07.266Z,"

            We’re Ada. We’re an ambitious team based out of Toronto that enables businesses around the world to provide incredible customer service. Our AI-powered platform has automated more than 120 million+ conversations for companies like Shopify, TELUS, Upwork, and Zoom – and we’re just getting started.
            You can learn more about the founding of our company here. Just as the field of machine learning continues to advance, so do we. And it is the passion of our people and dedication to our craft that continues to drive our dramatic growth.
            We are inspired every day by the opportunity to pioneer a new industry, and welcome those who want to join us.

            +

            +

            About You:

            +
                +
              • 4+ years of experience as a Data Engineer or a similar role
              • +
              • 4+ years of industry experience in software development, data engineering, or related field with a track record of manipulating, processing, and extracting information from large datasets
              • +
              • Demonstrated a track record of experience in data modeling, ETL development, and data warehousing
              • +
              • Proficient in SQL, query performance tuning skills, and at least one scripting language
              • +
              • Experience in structured data and building analytics dashboards
              • +
              • Experience in MPP databases e.g. Redshift, Teradata
              • +
              • Experience in distributed systems and NoSQL databases e.g. MongoDB
              • +
              • Nice to have knowledge in Big Data Technologies e.g. Hadoop, Spark, Hive
              • +
              • Nice to have knowledge in reporting tools e.g. Looker, Tableau
              • +
              • Have a go and get done attitude and able to wear multiple hats
              • +
            +

            Outcomes:

            +
                +
              • Architect, build, and maintain the core components of Analytics Experience Team e.g. Analytics dashboard and reporting, Data API
              • +
              • Create, test, and optimize database
              • +
              • Extract and transform insightful data into our own analytics dashboard and reports
              • +
            +

            #LI-FT
            About Us
            Ada is a rapidly growing digital first company in a thriving AI ecosystem. We optimize our communication, collaboration and generally, the way we work for the digital world instead of in-person. With flexible working hours, together we'll determine a schedule that fits your style and the requirements of your role.We are backed by world-class investors, including Accel, FirstMark, Bessemer Venture Partners and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company. Our work is rooted in authenticity, courage, empathy, and simplicity. We use these values to create a culture that encourages groundbreaking results, career progression, and community investment.
            Ada is an equal opportunity employer. In fact, diversity is what drives our success – it’s at the core of how we hire, communicate, and work. Like our Platform, we are inclusive to all, and combine our diverse backgrounds, skill sets and thinking to build the best experiences for our clients and their customers.

            ",,https://jobs.lever.co/ada/a6bce59f-3031-4ee8-8773-e4286a273b87,aimasters@vectorinstitute.ai,https://www.ada.support/careers,,,2021-03-24T19:17:08.892Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/51902562-senior-data-engineer-at-ada,,expired,2021-02-22T19:17:00.000Z,admin,Scaling (20-499),Application Click Through,Software,Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, +035d16e3-92f5-43c7-b777-52acdc61c14b,51903263,CN,DevOps & Machine Learning Integration Specialist,on_site,"Ottawa, ON, Canada",2021-02-22T20:13:24.351Z,"

            At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

            +

            Job Summary

            +

            The role of Specialist Solution and System Integration is responsible for the successful deployment of advanced infrastructure, telecom, Industrial IoT, software development, application, and technology solutions, systems and services. The Specialist ensures that all business requirements are met by team members and projects, and contributes to the global evolution of CN’s I&T. The Specialist is a key player in the team, ensuring the technology delivered is secure, reliable, available, resilient, performant, and aligned with safety standards per business requirements.

            +

            +

            Main Responsibilities

            +
              +
            • Engage with customers to capture requirements.
            • +
            • Translate the technology solution architecture into engineering or software development standards & specifications.
            • +
            • Establish test plans and tests results for newly defined solution.
            • +
            • Conduct lab testing and log results.
            • +
            • Ensure that solution designed meet all business requirements based on blueprint and test results in the lab, create Detailed / Functional Design.
            • +
            • Establish deployment/migration strategy and guide project team and operations.
            • +
            • Guide other Integrator(s) and help address potential and current with them.
            • +
            • Coordinate installation with technicians in the field, or with business owner for maintenance window.
            • +
            • For support issues during project migration or deployment, determine appropriate resolution/solution through root cause analysis and impact analysis.
            • +
            • Transition-to-core: update of documentation, systems, training, and presentation.
            • +
            • Define and maintain engineering and configuration standards.
            • +
            +
              +
            • Apply, and ensure compliance with, all appropriate CN I&T standards (e.g. Security, Architecture, Project Delivery Methodology, SOX, Telecom, Software Engineering, etc.).
            • +
            • Engage external providers and work with Business Planning, Supply Management and Legal teams in the context of procuring delivery and / or support services of existing or new services.
            • +
            • Manage the roadmap (hardware & software) with the vendor based on CN strategy & I&T technology needs.
            • +
            • Estimate overall solution costs and share information with Project Managers and stakeholders.
            • +
            • Create technical diagrams and documentation for the solution.
            • +
            • Work with Project managers during the planning phases and identify deployment steps and risks.
            • +
            • Follow the Change and Release Management processes by initiating Change Controls and executing cut-over plans.
            • +
            • Pre-configure and lab-test all required components during deployment. Document tests and log results.

              +

              +
            • +
            +

            Operational Technology

            +
              +
            • Full stack development of AI Feature and application in various area.
            • +
            • Identify Models to be used and improve model accuracy
            • +
            • Participate in the product definition, especially around the aspect of AI, machine learning, to translate complex business requirement into concrete technical solution.
            • +
            • Create new optimisation for Infra monitoring with integration with third party or internal script(s).
            • +
            • Develop new way to get information from the application to get more data for the monitoring
            • +
            • Use the data in the log management for pattern recognition
            • +
            • Develop cloud design pattern for availability, data management, design and implementation, management and monitoring.
            • +
            • Build the structure for process and documentation
            • +
            • Build solutions with the Azure, Google cloud platform and DevOps marketplace.
            • +
            • Evolve and build best practice materials
            • +
            • Enable development teams to leverage cloud-native architectures with new and existing applications.
            • +
            • Build workshops and labs about cloud technologies, cloud operations, containers, orchestrators and microservices.
            • +
            +

            +

            Requirements

            +

            Experience

            +
              +
            • Minimum 7-10 years overall work experience
            • +
            • 7+ years experience in Software Development, DevOps, R&D, Cloud and/or telecom.
            • +
            • 5+ years of relevant technical expertise including complex detailed design and solution integration.
            • +
            • Experience designing, configuring and deploying DevOps systems.
            • +
            +

            Skills/Knowledge

            +
              +
            • Ability to precisely estimate efforts of the tasks assigned to the integrators.
            • +
            • Ability to work on multiple projects in parallel and meet deliverables dates.
            • +
            • Very good technical documentation skills.
            • +
            • Strong communication, influencing and presentation skills.
            • +
            • Leadership skills and ability to influence and guide others on integration and technical matters.
            • +
            • Proven experience delivering technology projects involving multiple parties.
            • +
            • Proven experience with IP protocols and technologies.
            • +
            • Knowledge of IT security principles.
            • +
            • Ability to clarify requirements and insure solution meets business needs.
            • +
            • Strong systems engineering knowledge.
            • +
            • Ability to estimate efforts and costs required for delivery.
            • +
            • Strong sense or prioritization for meeting deadlines.
            • +
            +
              +
            • Strong familiarity with CNN for objects detection, segmentation and classification.
            • +
            • Familiarity with machine learning application to time series analysis.
            • +
            • Experience with Tensorflow, Keras, Spark, Opencv, Pytorch, etc.
            • +
            • Strong knowledge of machine learning or AI feature and application in the SaaS software
            • +
            • Experience with Natural language processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar
            • +
            • Strong knowledge of CI/CD tools (Jenkins, Gitlab CI, Github Actions, etc)
            • +
            • Able to code in Python or Java
            • +
            • Strong knowledge how to monitor application and infrastructure
            • +
            • Knowledge in logs management, application monitoring, infrastructure monitoring
            • +
            • Knowledge of monitoring and logging for containers and orchestrators.
            • +
            • Familiar with ISO30162 and IoT
            • +
            +
            • Strong knowledge in cloud computing (Azure, Google)
            +
              +
            • Knowledge of networking, security and protocol
            • +
            • PTC and Rail industry experience an asset
            • +
            • IoT experience

              +

              +
            • +
            +

            Education/Certification/Designation

            +
              +
            • Master’s degree in Computer Science, Computer Engineering, A.I., machine learning or a related field of study, or equivalent work experience
            • +
            • DevOps Certification an asset
            • +
            • Azure certification an asset
            • +
            • Google certification an asset
            • +
            +

            +

            Working Conditions

            +
            • This role may require occasional business travel in accordance with CN policy for meetings, field sites visits for deployment activities or to attend industry events or conferences
            +

            +

            About CN

            CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

            +

            +

            +

            +

            +

            +

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

            ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/5618?c=cn360,aimasters@vectorinstitute.ai,https://www.cn.ca/en/careers/,,,2021-03-24T20:13:25.833Z,False,0,4,36,https://talenthub.vectorinstitute.ai/jobs/51903263-devops-machine-learning-integration-specialist-at-cn,,expired,2021-02-22T20:13:00.000Z,admin,Enterprise (500+),Application Click Through,Transportation,Senior Level,Masters Degree,New Posting, +9a38030c-a2e7-4d0d-853f-0cd40f953f07,52133357,Goldspot Discoveries Corp,Research and Development Specialist,full,"Toronto, ON, Canada",2021-02-24T15:08:33.848Z,"

            GoldSpot Discoveries Corp. is revolutionizing the mineral exploration business by utilizing artificial intelligence to target on a regional and localized scale. In the R&D team, we apply cutting-edge computational analysis to speed up the key problems in geology and to bring new capabilities in mineral exploration.

            +

            Responsibilities

            +
              +
            • Identify valuable data sources and automate collection processes
            • +
            • Undertake preprocessing of structured and unstructured data
            • +
            • Analyze large amounts of information to discover trends and patterns
            • +
            • Build predictive models and machine-learning algorithms
            • +
            • Combine models through ensemble modeling
            • +
            • Present information using data visualization techniques
            • +
            • Propose solutions and strategies to code efficiency challenges
            • +
            • Reading academic papers and implementing the methods
            • +
            • Collaborate with engineering and product development teams
            • +
            +

            Qualifications

            +
              +
            • Master’s or PhD Degree in Computer Science preferred, or a related quantitative discipline
            • +
            • A minimum of 1 years’ industrial experience in data science
            • +
            • Proficient in Python for data processing, statistical analysis, machine learning and visualization
            • +
            • Proficiency in object-oriented programming languages (preferably Javascript)
            • +
            • Familiar with data modeling and different data structures and algorithms
            • +
            • Experience as a Data Scientist within an Agile team or other rapid development methods and environments (preferred but not required)
            • +
            • Excellent problem solving, critical thinking, and communication skills
            • +
            • Knowledge of simulation and optimization techniques
            • +
            • Having a good background in theoretical & mathematical computer science problems
            • +
            • Having minimum experience in using Databases and familiarity with full-stack development tools
            • +
            +

            We offer

            +
              +
            • A dynamic, diverse, and highly collaborative work environment
            • +
            • Casual business environment with remote flexibility
            • +
            • An opportunity to gain broad exposure to all sides of the business, as well as multiple industries
            • +
            • A focus and emphasis on personal development
            • +
            +

            Learn more about GoldSpot at www.goldspot.ca. Offices are based in Montreal and Toronto, with flexibility in remote work, and work location.

            +

            Job Type: Full-time

            +

            Application deadline: 2021-03-12

            +

            Salary: $70,000.00-$85,000.00 per year

            ",kelly@goldspot.ca,,kelly@goldspot.ca,https://goldspot.ca/,,,2021-03-26T17:00:00.000Z,False,7,0,115,https://talenthub.vectorinstitute.ai/jobs/52133357-research-and-development-specialist-at-goldspot-discoveries-corp,,expired,2021-02-24T12:08:00.000Z,website-existing-job-slot,Scaling (20-499),Vector Quick Apply,Technology (Product Development),Entry Level,Masters Degree,New Posting, +05420ec2-efa1-4022-8394-996d4b13fe26,52158731,RBC,"Financial Analyst (8 Months), Summer 2021 Student Opportunities",on_site,"Toronto, Ontario, Canada",2021-02-24T21:37:10.425Z,"
            +

            What is the opportunity?

            +

            Are you interested in the opportunity to work as a Financial Analyst? By applying to this job posting, you will be considered for over 20 roles available across RBC Finance including Technology & Operations, Capital Markets, Wealth Management, Personal and Commercial Banking, Internal Audit and Corporate Functions!

            +

            +

            We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is March 14th, 2021. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

            +

            +

            What will you do?

            +
              +
            • Financial modelling forecasting and analysis
            • +
            • Work with various visualization programs
            • +
            • Interpret data using careful business-grounded logic and analytics techniques to test controls, find exceptions, and discover insights and trends.
            • +
            • Participate in research, analyses and accounting assessments
            • +
            • Be responsible to develop and run financial models
            • +
            • Identify opportunities to improve and streamline current processes
            • +
            • Provide strong financial governance, including assisting with monthly reporting cycle and related account reconciliations and standards of documentation
            • +
            +

            +

            What do you need to succeed?

            +

            Must-have

            +
              +
            • Currently enrolled in a Canadian post-secondary institution with a focus in finance, accounting, business, commerce, mathematics, statistics, acturial sciences or a related discipline
            • +
            • Currently enrolled in a post-secondary school and eligible to complete a work term for 8 months
            • +
            • Experience or understanding of financial analysis, financial modelling, financial forecasting and financial reporting
            • +
            • Knowledge in data analytics and data visualization tools
            • +
            • Leadership acumen and a passion to apply it in a dynamic business environment
            • +
            • Excellent interpersonal and highly developed communication skills (verbal and written)
            • +
            • Creative and analytical thinker who is self-driven and capable of working in a fast paced environment
            • +
            • Able to work effectively and reliably under pressure
            • +
            • Excellent MS Office skills – Word, Outlook, Excel and PowerPoint
            • +
            +

            +

            Nice-to-have

            +
              +
            • Previous experience working in a financial environment
            • +
            • Previous experience in a case competition or hackathon
            • +
            • VBA, SQL, Tableau, Power BI, Python
            • +
            +

            +

            What’s in it for you?

            +

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

            +
              +
            • Network and build lasting relationships with students from diverse backgrounds from across Canada
            • +
            • Leaders who support your development through coaching and learning opportunities
            • +
            • Work in a dynamic, collaborative, progressive and highly performing team
            • +
            +

            +

            HO2021

            +

            QAA2021

            +

            TAD2021

            +

            +

            +

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

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



            JOB SUMMARY
            City: Toronto
            Address: Virtually, at home
            Work Hours/Week: 37.5
            Work Environment: Your Home Office
            Employment Type: [[filter7]]
            Career Level: Student Job
            Application Deadline: 03/14/2021
            Platform: CFO Group

            Req ID: 298216
            Ad Code(s):

            +

            +
            ",,https://jobs.rbc.com/ca/en/job/298216/Financial-Analyst-8-Months-Summer-2021-Student-Opportunities,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-03-15T17:13:00.000Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/52158731-financial-analyst-8-months-summer-2021-student-opportunities-at-rbc,https://jobs.rbc.com/ca/en/job/298216/Financial-Analyst-8-Months-Summer-2021-Student-Opportunities,expired,2021-02-24T21:37:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,Re-Posting an Expired Job, +6af0deb4-55c8-4677-90de-5e97c432041d,52158790,RBC,"Internal Auditor & Data Analyst, Summer 2021 Student Opportunities",on_site,"Toronto, Ontario, Canada",2021-02-24T21:37:13.591Z,"
            +
            +
            +

            RBC fosters a positive learning environment for students by providing support and resources to help your development. As the leading financial institution in the country and one of Canada’s Top Employers for Young People, RBC is a great place to start your career. By applying to this role, you will be highlighted to 10 roles across Internal Audit (see descriptions below). Some roles are more focused on auditing, whereas others are more focused on the technical and data analytics in auditing.

            +

            +

            What is the opportunity?

            +

            Internal Audit works to review what’s going on behind the scenes of all lines of business across RBC. It is the ideal work environment if you’re interested in seeing how things work, are curious about digging deep into data to discover new things and like to use your imagination to make recommendations or drive insights. By joining us for a 4-month long position, you will be involved in a variety of challenging assignments, allowing you become familiar with a wide range of areas across RBC, while also strengthening the skills and knowledge you need to launch a successful career. Our students benefit from interesting work and networking opportunities, and are encouraged to collaborate on innovations.

            +

            +

            We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is March 14th, 2021. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

            +

            +

            What do you need to succeed?

            +

            Along with pursuing a post-secondary education and being available for a work term, there are some other qualities that we look for in members of Internal Audit.

            +

            +

            Be Curious. You don’t have to have an audit or accounting background in order to be successful here. What we look for is someone who has an interest in understanding and learning about auditing principles and techniques. Someone who is able to think critically and isn’t afraid to recommend an approach or challenge others’ opinions in a constructive manner. Someone who has a passion for learning and personal development, and wants to spend their term collaborating with a diverse group of talented individuals.

            +

            Be Tech-Savvy. Internal Audit is a leader in finding innovative ways to use technology to be more efficient and impactful. Proficiency in Microsoft Office tools, including Word, Excel, PowerPoint and Excel, is required. Experience with data analytics tools such as Python and visualization tools like Tableau are also an asset.

            +

            Be Adaptable. We are a busy part of RBC where there is always a lot on the go. We are looking for someone who thrives in a dynamically changing environment with strong project management skills, allowing you to multi-task, prioritize and work independently under tight timelines.

            +

            Be Collaborative. Internal Audit is a supportive and welcoming environment, and we are looking for team players who proactively seek out development opportunities. Someone with excellent interpersonal skills and a positive attitude. Someone who demonstrates strong verbal and written communication skills, allowing you to work effectively with people across the organization.

            +

            +

            Does this sound like you? If so, then a coop position with RBC’s Internal Audit team is the job for you. See below for information for our student opportunities available within Internal Audit.

            +
            +

            +
            +

            Risk Management

            +

            Assess and provide objective assurance on the effectiveness of internal controls, risk management practices and corporate governance processes in order to identify whether controls are operating effectively to improve business operations. Key tasks may include:

            +
              +
            • Participating in audits, control design review, continuous audit review and consulting engagements
            • +
            • Participating in planning sessions to develop audit techniques using data analytics
            • +
            • Using Tableau to develop data analytics and visualization reports
            • +
            +
            • Preparing management reports
            +

            +

            Requirements

            +
              +
            • Post-secondary education major in Business, Data Science, Engineering, Mathematics, Finance and Accounting, Statistics or Computer Science
            • +
            • Demonstrated knowledge and experience working with data analytics software packages, data visualization tools and programming languages (Tableau, Python, R, SAS, SQL, etc.)
            • +
            • Prior exposure to valuations and/or risk analysis of financial trading products would be an asset
            • +
            +

            +

            Financial Risk

            +
              +
            • Assist in providing objective assurance on the effectiveness of internal controls, risk management practices and corporate governance processes in order to identify whether controls are operating effectively to improve business operations. Key tasks may include:
            • +
            • Participating in audits, control design review, continuous audit review and consulting engagements
            • +
            • Participating in planning sessions to develop audit techniques using data analytics
            • +
            +
              +
            • Using Tableau to develop data analytics and visualization reports
            • +
            • Preparing management reports
            • +
            • Knowledge or prior exposure to capital markets and or risk management processes would be an asset
            • +
            +

            Requirements

            +
              +
            • Post-secondary education in Business, Finance and Accounting or related
            • +
            • Knowledge or prior exposure of traded and non-traded financial products, pricing, and an understanding or financial risks such as market risk, liquidity risk, counterparty credit risk, or valuations would be an asset
            • +
            • Participate in the development of data analytics using market risk, counterparty credit risk, liquidity risk and valuations.
            • +
            • Demonstrated knowledge and experience working with data analytics software packages, data visualization tools and programming languages (Tableau, Python, R, SAS, SQL, etc.)
            • +
            +

            +

            Information Technology

            +

            Assess and provide objective assurance on the effectiveness of internal controls, risk management practices and corporate governance processes in order to identify whether controls are operating effectively to improve business operations. Key tasks may include:

            +
              +
            • Participating in audits, control design review, continuous audit review and consulting engagements
            • +
            • Participating in planning sessions to develop audit techniques using data analytics
            • +
            • Using Tableau to develop data analytics and visualization reports
            • +
            +
            • Preparing management reports
            +

            +

            Requirements

            +
              +
            • Post-secondary education major in Data Science, Accounting or Technology
            • +
            • Understanding of data analytics and Tableau
            • +
            • Experience with:
            • +
            +
              +
            • Computer centre process, such as: problem management, service level management, environmental controls, physical security, job scheduling, job entry systems, media management, backup & recovery, and capacity & performance management
            • +
            • Information security governance practices, such as: access administration, incident & vulnerability management and security standards & technology change management
            • +
            • Technology platforms, such as: zOS, UNIX, Tandem, iSeries and Windows (2003 and XP)
            • +
            • Database management systems, such as: Sybase, Oracle, SQL, DB2/UDB and IMS
            • +
            +

            +

            Personal & Commerical Banking

            +

            Assess and provide objective assurance on the effectiveness of internal controls, risk management practices and corporate governance processes in order to identify whether controls are operating effectively to improve business operations. Key tasks may include:

            +
              +
            • Participating in audits, control design review, continuous audit review and consulting engagements
            • +
            • Participating in planning sessions to develop audit techniques using data analytics
            • +
            • Using Tableau to develop data analytics and visualization reports
            • +
            +
            • Preparing management reports
            +

            +

            Requirements

            +
            • Demonstrated knowledge and experience working with data analytics software packages, data visualization tools and programming languages (Tableau, Python, R, SAS, SQL, etc.)
            +

            +

            Data Management & Analytics

            +

            Contribute to audit teams across IA by designing and implementing data-related aspects of audit strategies, and producing and sharing insights supporting all phases of the internal audit cycle – planning, execution and reporting. Key tasks may include:

            +
              +
            • Collaborating with the businesses to capture requirements
            • +
            • Collecting and maintaining the data required to perform the analytics
            • +
            • Collecting, processing and analyzing data using a variety of tools
            • +
            • Participating in the identification of key risks, hypotheses and questions to answer
            • +
            +
            • Providing technology support to audit team
            +

            +

            Requirements

            +
              +
            • Post-secondary education major in Data Science, Engineering, Mathematics, Finance or Computer Science
            • +
            • Demonstrated knowledge and experience working with data analytics software packages, data visualization tools and programming languages (Tableau, Python, R, SAS, SQL, Hadoop, etc.)
            • +
            +

            +

            Strategy, Operations & Innovation

            +

            Provide support to the Learning, Methodology, Quality Assurance, Strategy, Communications & Change, Audit Planning, Analysis & Reporting, Project Assurance, Operations and Operational Risk teams within Internal Audit. Key tasks may include:

            +
              +
            • Training as a Scrum Master to support Audit teams deploying the Agile Audit approach
            • +
            • Project management for internal audit strategic initiatives
            • +
            • Acting as a business analyst on complex, multi-faceted initiatives
            • +
            • Assisting with reporting to the Audit Committee and executive management
            • +
            • Researching leading practices and emerging topics
            • +
            • Assisting with Methodology creation and documentation
            • +
            +
            • Assisting with creation of dynamic Learning presentations
            +

            +

            Requirements

            +
              +
            • Post-secondary education major in Business or Accounting
            • +
            • Prior experience in internal audit would be an asset
            • +
            +

            +

            Anti-Money Laundering and Global Compliance

            +

            Assess and provide objective assurance on the effectiveness of internal controls, risk management practices and corporate governance processes in order to identify whether controls are operating effectively to improve business operations. Key tasks may include:

            +
              +
            • Participating in audits, control design review, continuous audit review and consulting engagements
            • +
            • Participating in planning sessions to develop audit techniques using data analytics
            • +
            • Using Tableau to develop data analytics and visualization reports
            • +
            +
            • Preparing management reports
            +

            +

            Requirements

            +
              +
            • Interest and experience in Financial Crimes and Anti-Money Laundering (AML), and Regulatory Compliance operations and frameworks for Financial Institutions
            • +
            • High level understanding of the underlying regulatory requirements and guidelines (OSFI Guideline B-8 and E-13) for Financial Institutions
            • +
            • Interest, experience and skills in developing and applying innovative solutions (data analytics and data visualization)
            • +
            +

            +

            +

            HO2021

            +

            QAA2021

            +

            TAD2021

            +

            +

            +

            +

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

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



            JOB SUMMARY
            City: Toronto
            Address: Virtually, at home
            Work Hours/Week: 37.5
            Work Environment: Your Home Office
            Employment Type: [[filter7]]
            Career Level: Student Job
            Application Deadline: 03/14/2021
            Platform: Internal Audit Services

            Req ID: 298217
            Ad Code(s):

            +

            +
            ",,https://jobs.rbc.com/ca/en/job/298217/Internal-Auditor-Data-Analyst-Summer-2021-Student-Opportunities,info@rbc.ca,https://jobs.rbc.com/ca/en/,,,2021-03-15T17:04:00.000Z,False,0,2,8,https://talenthub.vectorinstitute.ai/jobs/52158790-internal-auditor-data-analyst-summer-2021-student-opportunities-at-rbc,https://jobs.rbc.com/ca/en/job/298217/Internal-Auditor-Data-Analyst-Summer-2021-Student-Opportunities,expired,2021-02-24T21:37:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,Re-Posting an Expired Job, +9c094f05-96df-4aad-9128-a72af03ba0cf,52290500,Thomson Reuters,Enterprise Data and Analytics Architect,on_site,Toronto-Ontario-Canada,2021-02-25T15:37:03.680Z,"
            +Job Description

            Enterprise Data and Analytics Architect, Technology

            +

            +

            As an employee at Thomson Reuters, you will play a role in shaping and leading the global knowledge economy. Our technology drives global markets and helps professionals around the world make decisions that matter. Whether solving for today’s challenges or tomorrow’s aspirations, you will work with the industry’s brightest thinkers on diverse projects, creating next-generation solutions that deliver powerful results. As the world’s leading provider of intelligent information, we want your unique perspective to create the solutions that advance our business—and your career.

            +

            +

            Thomson Reuters is currently implementing a large digital transformation programme, to fundamentally transform our Lead to Support processes and enable Digital. Data plays a critical role in digital transformation and this role play a pivotal role in defining the data and analytics technology strategy, developing the relevant architectures and governing the solutions end to end.

            +

            +

            +

            About the Role

            +

            In this opportunity as Enterprise Data and Analytics Architect, Technology you will:

            +
              +
            • +Be a People Leader: build and manage a team of data architects with varied skills and experience level. Coach and mentor current and future leaders within the team, be responsible to proactively identify individual training needs, conduct performance reviews and maintain a healthy team culture
            • +
            • +Be a Project Leader: train/coach team members in project delivery. Strategically plan, design and implement software to deliver value to customers, managing multiple projects simultaneously
            • +
            • +Be an Architecture Leader: implement best practices as knowledge expert in Information Architecture, data modeling, data lake, data warehousing and data analytics using best of the technologies, working in an agile framework and an advocate for agility within the team and with stakeholders. Ability to define and influence data and analytics strategy, be part of the development of architecture, and be able to govern the overall data portfolio
            • +
            • +Be an efficient Stakeholder Manager: collaborate and engage with external and internal stakeholders such as business teams, product owners, project management in defining roadmap for products and processes. Act as point of contact in resolving stakeholder issues
            • +
            • +Be a Decision Maker: make quick and effective data driven decisions, with good problem solving and analytical skills to infer qualitative and quantitative data, and roll out strategy that aligns with company goals
            • +
            • +Be Responsible for:
                +
              • +Architecture Strategy & Roadmap - define and update architecture strategy for Data and Analytics roadmap
              • +
              • +Architecture design for enterprise data models, taxonomy, data quality, data lake and data warehouse and analytics capabilities
              • +
              • +Architecture Governance – run and co-chair the architecture review boards and design authorities
              • +
              +
            • +
            +

            +

            About You

            +

            You’re a fit for the role of Enterprise Data and Analytics Architect, Technology if you:

            +

            Have deep understanding and expert skills in:

            +
              +
            • Expertise in driving data and analytics strategy and execution, while establishing strategic partnerships and delivering against business requirements
            • +
            • Development of the data services & platforms in support of self-service, that ensures TR can both facilitate and catalyze the adoption of these services in the most effective way
            • +
            • Identify, propose and implement solutions where the data & analytics architecture can be utilized to achieve a competitive edge, adding value to the business and practice, with measurable payback.
            • +
            • Architecture governance and design authority to ensure solutions are in line with the overall data and analytics strategy
            • +
            • Data & Analytics architecture development for projects & programs
            • +
            • Data modelling 3NF & Dimensional, including conceptual, logical and physical
            • +
            • Development & maintenance of the Enterprise Data Model
            • +
            • Data Warehousing, including data models and data processing
            • +
            • Unstructured information analysis
            • +
            • Information taxonomy creation
            • +
            • Master and Reference data management
            • +
            • Data analytics architecture strategy and development
            • +
            • Experience with modern saas, data and analytics technologies (Exadata, Snowflake, Tableau, Salesforce, Adobe, SAP HANA, Informatica, Dell Boomi, OBIEE etc)
            • +
            • Have a bachelor's degree (or equivalent) in Computer Science, Computer/Software Engineering or related technical field is preferred
            • +
            • An effective communicator with relevant experience leading and influencing others, demonstrating an ability to partner effectively with internal and external partners.
            • +
            • Experience of working in global matrix team environments with global time zones
            • +
            • TOGAF architecture certification
            • +
            +

            +

            What’s in it For You

            +

            At Thomson Reuters, our people are our greatest assets. Here are some of the benefits we offer for your personal and professional growth:

            +

            +

            Learning & Development: Exposure to a wide breadth of leading-edge technology

            +
              +
            • Career growth - ability to work on multiple projects and/or with various teams
            • +
            • Professional growth and development opportunity through various training programs, conferences, networking events, in-house speaker series etc.
            • +
            • Access to Hackathons, Unconferences, Harvard Manage Mentor and more, we offer learning opportunities for everyone
            • +
            +

            +

            Benefits/Perks: 

            +
              +
            • Health benefits
            • +
            • Savings/investment plans
            • +
            • Paid time off (including time off to volunteer and extended parental leave)
            • +
            +

            +

            Flexibility: We've been named as one of Forbes, Best Companies for Work/Life Balance

            +

            Global Opportunities: We have employees in over 90 countries, working across 3 different industries

            +

            Your wellbeing: We offer programs that focus on making our lives healthier

            +

            +

            Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

            +

            +

            We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

            +

            +

            Accessibility

            +

            +

            As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

            +

            +

            We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

            +

            +

            More information about Thomson Reuters can be found on thomsonreuters.com.

            +

            Locations
            Toronto-Ontario-Canada
            ",,https://jobs.thomsonreuters.com/ShowJob/Id/475192/Enterprise-Data-and-Analytics-Architect/,feed-importer@jobboard.io,,,,2021-03-31T17:01:00.000Z,False,0,2,16,https://talenthub.vectorinstitute.ai/jobs/52290500-enterprise-data-and-analytics-architect-at-thomson-reuters,https://jobs.thomsonreuters.com/ShowJob/Id/475192/Enterprise-Data-and-Analytics-Architect/,expired,2021-02-25T15:37:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,New Posting, 358a8b70-ac5a-42b2-b0af-498bf0cae9fc,52746863,KPMG,"Software Engineer, Senior Manager - KPMG Lighthouse",on_site,"Toronto, ON, Canada",2021-03-01T14:42:34.462Z,"

            Job Description

            Overview

            Why KPMG Digital?

            @@ -41251,578 +48989,6 @@ f62f99c4-7177-4673-95c4-1eff972767e2,47831353,CIBC,Sr. Data Warehouse Applicatio

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            ",,https://jobs.td.com/en-CA/jobs/11027584/sr-bi-reporting-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-01-28T14:39:11.069Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/48144354-sr-bi-reporting-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/11027584/sr-bi-reporting-analyst-toronto-ca/,expired,2021-01-21T07:17:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -ea1f749c-deea-448a-b244-5308ed8923b5,46918819,KPMG,"Data Engineer, Senior Manager - KPMG Lighthouse",on_site,"Toronto, ON, Canada",2021-01-11T16:28:33.925Z,"

            Job Description

            -

            Overview

            -

            Why KPMG Digital?

            -

            Transform. Innovate. Collaborate — KPMG Canada’s Center of Excellence for Data & Analytics + Intelligent Automation — applies data science to solve real-word business problems and operationalize AI. Join a diverse team which is always curious and learning, thinking independently and working collaboratively, has a passion to solve difficult problems and has fun doing it.

            -

            -

            KPMG Digital Toronto has an exciting opportunity for a Data Engineer, Senior Manager to join our team! This role will be a rewarding experience for you if you:

            -
              -
            • Thrive on challenges and work best in a fast-paced environment where each day is different
            • -
            • Work well in a project team environment and have strong collaboration and interpersonal skills
            • -
            • Have a permanent “figure it out” mindset
            • -
            -

            -

            Video: Digital Opportunities

            -


            What you will do

            -
              -
            • Work in terms or individuals to performance ETL (extract, transform and load) of data from a variety of databases, from SQL, NoSQL, Hadoop, Neo4j, etc.
            • -
            • Strong experience with large scale and or distributed processing methodologies such as Storm, Spark and many others.
            • -
            • Review data quality and definitions and perform data cleansing and data management tasks.
            • -
            • Work with the engagement team to translate business and analytics requirements into a data strategy for the engagement including ETL, data model and staging data for analysis
            • -
            • Architect the data platform for scalability, repeatability and performance.
            • -
            • Architect data pipelines to support streaming data, batch data, etc.
            • -
            • Develop standards for data processes and automate routine tasks.
            • -
            • Run queries for descriptive analytics and provide formatted result sets.
            • -
            • Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions.
            • -
            • Support application testing and production implementation as required.
            • -
            • Bridge the gap between technical platform needs and business issues.
            • -
            • Enable overall solution and full-scope architecture design and build.
            • -
            • Design software architecture following best practices after understanding customer enterprise environment requirements.
            • -
            -


            What you bring to the role

            -
              -
            • Passion for supporting professional development of the team through the role of a Performance Manager. Mentoring and coaching team members to achieve their goals through professional and personal development.
            • -
            • Strong experience working in teams to perform ETL (extract, transform and load) of data from a variety of databases from SQL, NoSQL, Hadoop, Neo4j, etc.
            • -
            • Independent ability to review the data quality and data definitions, and perform data cleansing and data management tasks
            • -
            • Experience working in a multi-disciplinary team to tack unstructured data processing problems across a diverse range of industries
            • -
            • Experience in mainstream cloud services: AWS, MS Azure, GCP and IBM Cloud Pak
            • -
            -

            -

            -

            Keys to your success:

            -
              -
            • Identify and present opportunities with new and existing clients that align with KPMG services to the appropriate partner.
            • -
            • Manage the efficient and effective delivery of every engagement, producing high quality deliverables and delivering work on time, on budget and within project parameters and client expectations Share knowledge learned through various forums and stay current to industry trends.
            • -
            -

            All applications are due Tuesday, January 19th, 2021 at 11:59 pm

            -


            Our Values, The KPMG Way

            -

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

            -

            -

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

            -

            -

            If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact KPMG’s Employee Relations Service team for support at email: cdnersteam@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778 Option 3.

            -

            -

            For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

            ",,https://careers.kpmg.ca/professionals/jobs/6877?lang=en-us,aimasters@vectorinstitute.ai,https://home.kpmg/ca/en/home/careers.html,,,2021-01-19T21:58:00.000Z,False,0,2,22,https://talenthub.vectorinstitute.ai/jobs/46918819-data-engineer-senior-manager-kpmg-lighthouse-at-kpmg,,expired,2021-01-11T16:28:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,New Posting, -bdc15209-3fdd-44e8-a569-785aa676188c,46924094,TD Bank Group,Data Science & Advanced Analytics Associate Program,on_site,"Toronto, ON, Canada",2021-01-11T21:11:19.103Z,"

            Company Overview

            -

            All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

            -

            TD’s Colleague Promise: A better you. A better us.

            -

            A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

            -

            -

            Department Overview

            -

            Our Associate Programs offer new graduates experience within one TD’s many lines of business, and the chance to work alongside experienced colleagues, work on challenging projects and assignments, and receive coaching and mentorship from business leaders and the Early Talent Experience team, to set you up for success in your career at TD.

            -

            Associate Role Profile:

            -
              -
            • 1-year in-depth experience, complemented by programming, coaching, tools and support
            • -
            • 2-year rotational journey (rotating every 6 months), complemented by programming, coaching, tools and support
            • -
            -

            In addition, as an Associate you have access to programming, tools and a community of support for your pursuits and interests beyond the 9-5. This includes leadership talks, lunch and learns, self-development workshops, TD sponsored conferences, socials, team challenges, volunteer opportunities, career coaching and more. You will be part of a cohort along with other TD Associates from across Canada! If one of our over 20+ Associate programs is of interest to you, please read on and apply today.

            -

            -

            Job Description

            -

            The Data & Analytics Associate Program is a 12-month enhanced development opportunity in analytics and data. The Data Science and Advanced Analytics Associate will perform a variety of activities, which may include:

            -
              -
            • Apply advanced machine learning methods to conduct data-driven research, identify opportunities, and make tangible recommendations to senior management.
            • -
            • Collaborate with business partners to identify opportunities for process optimization and informed decision-making, and build innovative solutions.
            • -
            • Work with structured and unstructured data and prepare data sets for machine learning through integration, cleaning, feature engineering, scaling and transforming data
            • -
            • Build production-scale solutions and work with deployment teams to integrate in business operations
            • -
            • Leverage visualization methods to represent results and communicate outcomes to technical and non-technical audiences
            • -
            -

            -

            Requirements

            -
              -
            • Recently completed (or will have completed by the program start date) an Undergraduate Degree in Mathematics, Physics, Statistics, Computer Science, Engineering, and/or Data Analytics or related.
            • -
            • At least 2 years of professional experience; which can include work terms during your completion of studies.
            • -
            • Strong statistical and analytical skills as well as a passion for analytics are necessary.
            • -
            • Experience with analyzing large data sets, drawing insights and inferences, and communicating outputs.
            • -
            • Experienced in one or more of:
                -
              • Big Data – Programming, Data/Text Mining, Optimization, Algorithm Development, Automation, Data Visualization, Simulation
              • -
              • Machine Learning – Predictive Analytics, Regression, Logit Modeling, Discrete Choice, Propensity Modeling, Natural Language Processing.
              • -
              -
            • -
            • Strong technical knowledge and experience with one or more of: R, Python, Spark, SQL, SAS, Matlab, Java, or C/C++
            • -
            • Technical knowledge or experience with Hadoop and Cloud environments as well as experience with Data Management, and Project Management are a plus.
            • -
            • Must have strong leadership qualities including demonstrating initiative, establishing priorities and using strong communication, analytical and problem-solving skills to add value to each initiative, project or team assigned to.
            • -
            • Able to participate as part of a team with targeted deliverables, working on initiatives designed to improve decisions, processes, systems, and applications which support our key businesses.
            • -
            • Remain current with emerging trends and technologies in Data Science
            • -
            -

            Assigned Line of Business Requirements

            -

            Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting

            -

            Application Deadline: January 20, 2021
            Start Date: This position will commence in July 2021
            Work Location: The initial location for this position will be remote however, upon an eventual return to the office there would be an expectation of some in-person work at one of our supported geographies – Toronto, Ottawa, London and Montreal offices.
            Hours: Monday-Friday, standard business hours.

            -

            -

            Additional Information

            -

            Early Talent Requirements

            -
              -
            • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
            • -
            • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
            • -
            • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
            • -
            ",,https://jobs.td.com/en-CA/jobs/12078478/data-science-advanced-analytics-associate-program-toronto-ca/,aimasters@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2021-01-25T17:11:00.000Z,False,0,16,78,https://talenthub.vectorinstitute.ai/jobs/46924094-data-science-advanced-analytics-associate-program-at-td-bank-group,,expired,2021-01-11T21:11:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, -38e0b485-e3a7-4766-a826-38b09f697d4f,46924115,TD Bank Group,Quantitative Associate Rotational Program,on_site,"Toronto, ON, Canada",2021-01-11T21:14:50.814Z,"

            Company Overview

            -

            All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

            -

            TD’s Colleague Promise: A better you. A better us.

            -

            A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

            -

            Department Overview

            -

            Our Associate Programs offer new graduates experience within one TD’s many lines of business, and the chance to work alongside experienced colleagues, work on challenging projects and assignments, and receive coaching and mentorship from business leaders and the Early Talent Experience team, to set you up for success in your career at TD.

            -

            Associate Role Profile: 2-year rotational journey (rotating every 6 months), complemented by programming, coaching, tools and support

            -

            In addition, as an Associate you have access to programming, tools and a community of support for your pursuits and interests beyond the 9-5. This includes leadership talks, lunch and learns, self-development workshops, TD sponsored conferences, socials, team challenges, volunteer opportunities, career coaching and more. You will be part of a cohort along with other TD Associates from across Canada! If one of our over 20+ Associate programs is of interest to you, please read on and apply today.

            -

            Quantitative assessments play a key function within TD and are actively used for developing, validating, and managing models for risk, pricing, hedging, and the capital evaluation of TD’s portfolios and financial products. TD has seen strong growth in its quantitative departments over recent years, reflecting improvements to computational ability, data quality/volume, and the banking industry’s increasing attention to understanding and managing model risk.

            -

            Job Description

            -

            Through executive mentorship, the Risk Management Quantitative Associate Rotational Program is designed to provide qualified and ambitious candidates with the opportunity to gain comprehensive experience developing, validating, implementing, and managing quantitative models throughout the enterprise. This two-year program will rotate successful candidates through four, 6-month rotations in various quantitative departments such as Model Development, Model Validation, Model Risk Management, Treasury and Balance Sheet Management, TD Insurance, TD Asset Management, TD Economics and Internal Audit. These carefully selected rotations are designed to provide candidates with the necessary experience and tools to become effective leaders within TD. Upon successful completion of the program, the associate will be assisted in securing a full-time permanent role within the bank.

            -

            Key accountabilities include, but are not limited to the following:

            -
              -
            • Effectively build mathematical and statistical models for TD’s North American profile (both US and Canada). These models include credit risk (e.g. Probability of Default, Exposure at Default, and Loss Given Default), operational risk and market risk models that are used for risk management, accounting, economic/regulatory capital, and stress testing purposes.
            • -
            • Assist in the development and testing of new modelling methodologies, and effectively challenge these models through benchmark modelling, model validation and/or review within Internal Audit’s model risk division.
            • -
            • Liaise with other business partners to ensure timely delivery of new models and resolve modelling issues.
            • -
            • Prepare management summaries describing the mathematical analytics of models, validation techniques, test results, and model limitations, including recommendations for further improvements.
            • -
            • Demonstrate governance, control, and risk management behaviours in alignment with TD policies and practices.
            • -
            • Participate in quantitative and qualitative validation efforts surrounding key process including internal capital adequacy assessment process (ICAAP), stress testing (DFAST/CCAR/EWST), regulatory capital, Own Risk and Solvency Assessment (ORSA), Expected Credit Losses, asset & liability management, and liquidity.
            • -
            -

            Requirements

            -
              -
            • -Must be graduated between Dec 2020 – May 2021, completing a graduate degree in a quantitative field such as mathematics, statistics, economics, finance, physics, engineering, or similar.
            • -
            • Strong quantitative background with advanced mathematical and/or statistical ability
            • -
            • Excellent problem-solving skills
            • -
            • Computational and programming skills (e.g. R, Python, SAS, Matlab, C++, C, etc.)
            • -
            • Excellent verbal and written communication skills
            • -
            • Strong time management skills with the ability to work effectively and independently when required
            • -
            • Fast learner who grasps new concepts and techniques quickly
            • -
            -

            Additional Information

            -
              -
            • -Anticipated Start Date: July 5th, 2021 (pending academic completion)
            • -
            • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
            • -
            • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
            • -
            • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
            • -
            • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
            • -
            ",,https://jobs.td.com/en-CA/jobs/12047779/quantitative-associate-rotational-program-toronto-ca/,aimasters@vectorinstitute.ai,https://jobs.td.com/en-CA/,,,2021-02-01T17:14:00.000Z,False,0,10,49,https://talenthub.vectorinstitute.ai/jobs/46924115-quantitative-associate-rotational-program-at-td-bank-group,,expired,2021-01-11T21:14:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Masters Degree,New Posting, -2845835d-fb38-4920-8eff-1c50b6823740,47525359,Thomson Reuters,Enterprise Data and Analytics Architect,on_site,Toronto-Ontario-Canada,2021-01-16T07:16:55.065Z,"
            -Job Description

            Enterprise Data and Analytics Architect, Technology

            -

            -

            As an employee at Thomson Reuters, you will play a role in shaping and leading the global knowledge economy. Our technology drives global markets and helps professionals around the world make decisions that matter. Whether solving for today’s challenges or tomorrow’s aspirations, you will work with the industry’s brightest thinkers on diverse projects, creating next-generation solutions that deliver powerful results. As the world’s leading provider of intelligent information, we want your unique perspective to create the solutions that advance our business—and your career.

            -

            -

            Thomson Reuters is currently implementing a large digital transformation programme, to fundamentally transform our Lead to Support processes and enable Digital. Data plays a critical role in digital transformation and this role play a pivotal role in defining the data and analytics technology strategy, developing the relevant architectures and governing the solutions end to end.

            -

            -

            -

            About the Role

            -

            In this opportunity as Enterprise Data and Analytics Architect, Technology you will:

            -
              -
            • -Be a People Leader: build and manage a team of data architects with varied skills and experience level. Coach and mentor current and future leaders within the team, be responsible to proactively identify individual training needs, conduct performance reviews and maintain a healthy team culture
            • -
            • -Be a Project Leader: train/coach team members in project delivery. Strategically plan, design and implement software to deliver value to customers, managing multiple projects simultaneously
            • -
            • -Be an Architecture Leader: implement best practices as knowledge expert in Information Architecture, data modeling, data lake, data warehousing and data analytics using best of the technologies, working in an agile framework and an advocate for agility within the team and with stakeholders. Ability to define and influence data and analytics strategy, be part of the development of architecture, and be able to govern the overall data portfolio
            • -
            • -Be an efficient Stakeholder Manager: collaborate and engage with external and internal stakeholders such as business teams, product owners, project management in defining roadmap for products and processes. Act as point of contact in resolving stakeholder issues
            • -
            • -Be a Decision Maker: make quick and effective data driven decisions, with good problem solving and analytical skills to infer qualitative and quantitative data, and roll out strategy that aligns with company goals
            • -
            • -Be Responsible for:
                -
              • -Architecture Strategy & Roadmap - define and update architecture strategy for Data and Analytics roadmap
              • -
              • -Architecture design for enterprise data models, taxonomy, data quality, data lake and data warehouse and analytics capabilities
              • -
              • -Architecture Governance – run and co-chair the architecture review boards and design authorities
              • -
              -
            • -
            -

            -

            About You

            -

            You’re a fit for the role of Enterprise Data and Analytics Architect, Technology if you:

            -

            Have deep understanding and expert skills in:

            -
              -
            • Expertise in driving data and analytics strategy and execution, while establishing strategic partnerships and delivering against business requirements
            • -
            • Development of the data services & platforms in support of self-service, that ensures TR can both facilitate and catalyze the adoption of these services in the most effective way
            • -
            • Identify, propose and implement solutions where the data & analytics architecture can be utilized to achieve a competitive edge, adding value to the business and practice, with measurable payback.
            • -
            • Architecture governance and design authority to ensure solutions are in line with the overall data and analytics strategy
            • -
            • Data & Analytics architecture development for projects & programs
            • -
            • Data modelling 3NF & Dimensional, including conceptual, logical and physical
            • -
            • Development & maintenance of the Enterprise Data Model
            • -
            • Data Warehousing, including data models and data processing
            • -
            • Unstructured information analysis
            • -
            • Information taxonomy creation
            • -
            • Master and Reference data management
            • -
            • Data analytics architecture strategy and development
            • -
            • Experience with modern saas, data and analytics technologies (Exadata, Snowflake, Tableau, Salesforce, Adobe, SAP HANA, Informatica, Dell Boomi, OBIEE etc)
            • -
            • Have a bachelor's degree (or equivalent) in Computer Science, Computer/Software Engineering or related technical field is preferred
            • -
            • An effective communicator with relevant experience leading and influencing others, demonstrating an ability to partner effectively with internal and external partners.
            • -
            • Experience of working in global matrix team environments with global time zones
            • -
            • TOGAF architecture certification
            • -
            -

            -

            What’s in it For You

            -

            At Thomson Reuters, our people are our greatest assets. Here are some of the benefits we offer for your personal and professional growth:

            -

            -

            Learning & Development: Exposure to a wide breadth of leading-edge technology

            -
              -
            • Career growth - ability to work on multiple projects and/or with various teams
            • -
            • Professional growth and development opportunity through various training programs, conferences, networking events, in-house speaker series etc.
            • -
            • Access to Hackathons, Unconferences, Harvard Manage Mentor and more, we offer learning opportunities for everyone
            • -
            -

            -

            Benefits/Perks: 

            -
              -
            • Health benefits
            • -
            • Savings/investment plans
            • -
            • Paid time off (including time off to volunteer and extended parental leave)
            • -
            -

            -

            Flexibility: We've been named as one of Forbes, Best Companies for Work/Life Balance

            -

            Global Opportunities: We have employees in over 90 countries, working across 3 different industries

            -

            Your wellbeing: We offer programs that focus on making our lives healthier

            -

            -

            Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

            -

            -

            We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

            -

            -

            Accessibility

            -

            -

            As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

            -

            -

            We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

            -

            -

            More information about Thomson Reuters can be found on thomsonreuters.com.

            -

            Locations
            Toronto-Ontario-Canada
            ",,https://jobs.thomsonreuters.com/ShowJob/Id/475192/Enterprise-Data-and-Analytics-Architect/,feed-importer@jobboard.io,,,,2021-02-01T15:01:17.572Z,False,0,1,22,https://talenthub.vectorinstitute.ai/jobs/47525359-enterprise-data-and-analytics-architect-at-thomson-reuters,https://jobs.thomsonreuters.com/ShowJob/Id/475192/Enterprise-Data-and-Analytics-Architect/,expired,2021-01-16T07:16:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Technology (Information and Media),Mid-Senior Level,Bachelors Degree,Re-Posting an Expired Job, -b3bbf426-eb7f-48ba-a035-ec834d21b2f2,47794492,Deloitte,"Dev Ops Engineer, Omnia AI",on_site,"Toronto, Ontario, Canada",2021-01-18T07:18:38.292Z,"
            -

            Job Type: Permanent
            Primary Location: Toronto, Ontario, Canada
            All Available Locations: Toronto

            -

            Learn from deep subject matter experts through mentoring and on the job coaching
            Be encouraged to deepen your technical skills…whatever those may be.
            Partner with clients to solve their most complex problems

            -
            -
            -
            -
            -

            -

            Are you an experienced, passionate pioneer in technology who wants to use artificial intelligence to solve real-world problems, a roll-up-your-sleeves software developer who thrives in a daily collaborative environment, and a technology leader looking for experience in multiple fast-changing global industries?

            -
            -
            -
            -

            What will your typical day look like?

            -

            -
            -

            You will join the AI Factory – our AI software development team. We coordinate and synthesize the powers of Omnia AI to create unique and targeted products that optimize the way a business works. Combining machine - learning capabilities with deep business and industry acumen allows us to solve complex problems and build tangible, enterprising solutions. The AI Factory is a creation engine that is continually learning, evolving and driving change. It’s built into our DNA and it informs our approach to product design.

            -

            -

            Your role at Deloitte will be to work with developers, data scientists and other DevOps professionals to design and provision infrastructure and deploy software and AI/ML models using modern DevOps principles – both in on-premise and in cloud computing environments. Successful candidates will have supported production software deployments (on-premise and/or on cloud) and have a passion for automation and repeatability.

            -
            -
            -
            -
            -

            About the team

            -

            -

            Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information products that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

            -
            -
            -
            -

            Enough about us, let’s talk about you

            -

            -
            -

            What you will bring

            -

            -
            • 2+ years in an infrastructure and/or DevOps role
            • BS or MS in computer science, or equivalent
            • -Strong working knowledge of Kubernetes – installation, maintenance and operational
              • Hosted Kubernetes on AWS, Azure or GCP
              • Installing and maintaining on-premise Kubernetes infrastructure
            • Coding experience in one of Python, JavaScript or Java
            • Working knowledge of configuration management, continuous integration & delivery, and/or infrastructure-as-code tools
            • Strong experience of automating manual steps to ensure continuous and repeatable processes
            • Proven record of following continuous integration and delivery best practices
            • Expertise in GIT and Jenkins pipelines
            • Working knowledge of automation tools such as Ansible, Chef, Puppet, Terraform, etc.
            • Experience on setting up monitoring infrastructure for bare-metal deployments as well as K8s
            • Understanding of common networking principles and technologies (domain name systems, load balancers, reverse proxies, firewalls, etc.)
            • Understanding of common cloud computing concepts, including virtual machines, virtual networks, autoscaling, serverless computing, and identity & access management
            • Understanding of cloud computing and on-premise security principles and best practices
            • Common Linux server distributions (e.g. Redhat, Ubuntu, etc.)
            • -
            -
            -
            -
            -

            Why Deloitte?

            -

            Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

            -
            • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
            • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
            • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
            • -
            -


            The next step is yours

            -

            Sound like The One Firm. For You?

            -

            At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

            -

            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

            ",,https://careers.deloitte.ca/job/Toronto-OMNIA-AI-DEVOPS-Engineer-ON-M5C-3G7/706098900/,feed-importer@jobboard.io,,,,2021-02-17T17:53:00.000Z,False,0,6,45,https://talenthub.vectorinstitute.ai/jobs/47794492-dev-ops-engineer-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Toronto-OMNIA-AI-DEVOPS-Engineer-ON-M5C-3G7/706098900/,expired,2021-01-18T07:18:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, -1f5ab7ae-9204-4fd4-b8f8-3322cfd82fbd,47794509,CN,Automated Train Operation System Design Expert,on_site,"Toronto, ONTARIO, Canada",2021-01-18T07:18:46.277Z,"
            -

            -

            At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

            -

            -

            JOB SUMMARY

            -

            The role of Expert Automated Train Operation System Design is to ensure production of detailed functional design for solution subsystem components, whether based on a packaged solution or on custom development. This involves working with Product Management, Architecture and end users to understand the End-to-End Architecture and requirements and flesh out a detailed system design for the specific component or area of expertise. This includes defining subsystem architecture and detailed functional level design and development plan as well being the overall owner of the conceptual subsystem solution during the development, testing, and integration stage. Another key responsibility is to work in close partnership with the Technical Delivery lead to provide clear and exact impact assessments in the initial phase of the development process. Additional responsibilities include supporting designers, developers and integrators during the full design and test cycle.

            -

            -

            MAIN RESPONSIBILITIES

            -

            System Design

            -
              -
            • Analyze overall system issues and/or business requirements to design effective, high-availability, business-critical solutions

            • -
            • Understand high-level proposed architecture and transpose it into subsystem designs that will meet all functional and non-functional requirements. The developed designs will then be elaborated by the design and development resources.

            • -
            • Create standards and best practices that ensure the systems design is maintainable, sustainable and properly documented with all the associated IP constructs

            • -
            • Create standards and best practices that ensure reliability, safety and cybersecurity standards are imbedded in the design of the sub systems

            • -
            • Work with Manager to define domain best practices and standards for the System Designers

            • -
            • Understand Rail subsystems Architecture in order to develop Specifications on technical Design aspects (Hardware & Software integration)

            • -
            • Design and propose enhancements and modifications to the subsystem architecture

            • -
            • When called upon, will be required to work with FRA and CN personnel in the various regulatory inspections to ensure all requirements are properly designed

            • -
            • Be a champion to the systems designers on adoption of proper detailed development and designs

            • -
            • Work with Manager to drive best practices and a practice based approach towards system design

            • -
            -

            Delivery & Quality

            -
              -
            • Conduct impact assessments for proposed architecture to help with delivery strategy

            • -
            • Provide, or verify, work estimates. Evaluate/assess upgrades, priorities and criticality.

            • -
            • Define deployment plan and support Q&A and Integration Engineers from a technical subsystem product owner perspective

            • -
            • Ensure compliance with and oversee development, and execution of testing strategies, test plans, and test procedures to validate that the system correctly implements the specifications

            • -
            • Work with Manager and technical leads to help plan the release

            • -
            • Work with Quality leads, Management, and QA to constantly monitor quality KPI’s and implement design improvements

            • -
            • Be the technical lead and technical authority throughout the delivery and lifecycle of the solution

            • -
            -

            REQUIREMENTS

            -

            Experience

            -
              -
            • Proven track record of success in complex system engineering environments

            • -
            • Minimum 10-15 years overall work experience (including in system integration of a complex train control system and in software engineering and design)

            • -
            • Minimum 5 years demonstrating technical leadership qualities and/or overseeing deliverables (including in a leadership role of leading developers or integrators)

            • -
            -

            Education/Certification/Designation

            -
            • Bachelor’s Degree in Electrical Engineering, Computer Engineering or related field

            -

            Skills/Knowledge

            -
              -
            • Excellent oral, written and presentation skills

            • -
            • Strong ability to analyze, design & document detailed designs

            • -
            • Knowledge of automated train operation (ATO) environment, automated control systems, grades of automation and supervisory systems

            • -
            • Knowledge of automated train operation (ATO) situational awareness and hazard detection systems

            • -
            • Excellent knowledge of system engineering & design processes (ISO/IEC 15288 & 12207 or equivalent)

            • -
            • Knowledge of system engineering modelling and requirements management tools

            • -
            • Knowledge of railway safety engineering practices (IEC 61508, EN 50126/IEC 62278, EN 50128/IEC 62279 and EN 50129/IEC 62425) or equivalent from other industries

            • -
            • Strong ability to analyze, design & document detailed designs

            • -
            • Ability to provide, verify and validate work estimates

            • -
            • Proficient in documentation of complex concepts such as impact analysis, security models, performance and capacity planning, and strategic technical decision

            • -
            -

            Assets

            -
              -
            • Knowledge of railway freight environments in North America

            • -
            • Knowledge of train control (ATC) & protection (ATP) systems (railway signaling, interlocking, European Train Control System, Positive Train Control, Communication-Based Train Control, etc.)

            • -
            • Knowledge of train supervision (ATS) systems (dispatching, movement planning, conflict detection, decision support system, etc.)

            • -
            • Experience in working with Agile and Dev(Sec)Ops development organizations

            • -
            • Managing Life cycle of delivery of complex system

            • -
            • Experience with executive presentations

            • -
            -

            About CN

            -

            -

            CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

            -

            -

            -

            -


            -

            -

            -

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

            -
            -
            -
            Apply Now -
            -
            -Share -
            -
            - Save Job -
            -
            ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/5693?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2021-01-21T07:24:04.581Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/47794509-automated-train-operation-system-design-expert-at-cn,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/5693?c=cn360&lang=en-US,expired,2021-01-18T07:18:00.000Z,import-xml-feed:David's-Extraction-M,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, -421b6adf-4d46-48ba-94ae-4bc590977dd7,47828452,Ada,NLP Principal Machine Learning Scientist (Remote Available),on_site,"Toronto, ON, Canada",2021-01-18T16:01:30.592Z,"

            We’re Ada. We’re an ambitious team based out of Toronto that enables businesses around the world to provide incredible customer service. Our AI-powered platform has automated more than 75 million+ conversations for companies like Shopify, TELUS, Upwork, and Zoom – and we’re just getting started.
            You can learn more about the founding of our company here. Just as the field of machine learning continues to advance, so do we. And it is the passion of our people and dedication to our craft that continues to drive our dramatic growth.

            We are inspired every day by the opportunity to pioneer a new industry, and welcome those who want to join us.

            As a Principal Machine Learning Scientist on our Machine Learning team, you will play a major role in leading the technical direction for Ada’s machine learning technologies and research initiatives. You will help define the long-term strategic objectives for our team, and your work will impact the experience of millions of customers.

            We're looking for someone who is passionate about leading innovative and applied ML research for a world class chat automation platform. You will be expected to bring an expert technical perspective, as well as a product-centric approach. Along with having a high impact through your own projects, you will help elevate the work of others through improving the data science and research practices on the team.

            -

            -

            About You:

            -
                -
              • 5+ years (or equivalent) experience as a Machine Learning Researcher/Engineer
              • -
              • Profound understanding of technologies and research in NLP, ML, and dialog
              • -
              • Recognized as a thought leader within the industry/research community
              • -
              • An accomplished technical contributor looking to hone your craft and influence the work of others
              • -
              • Contributor to highly referenced ML research or open source ML tooling
              • -
              • Highly skilled in Python and Pytorch
              • -
            -

            Outcomes:

            -
                -
              • Define and lead ambitious, novel, high-impact ML research projects that result in product innovations and research publications
              • -
              • Become a leader of the technical direction for Ada’s ML technologies
              • -
              • Accelerate the growth of your ML teammates through guidance, feedback, and leading by example
              • -
              • Identify opportunities for improving our existing products and innovating towards the next ones
              • -
            -

            #LI-MH
            About Us
            Ada is a rapidly growing company located at Spadina and Adelaide in Toronto, Canada’s thriving AI ecosystem. We are backed by world-class investors, including Accel, Bessemer Venture Partners and Version One. We provide our employees with competitive compensation, great health benefits, and ownership in our company. Our work is rooted in authenticity, courage, empathy, and simplicity. We use these values to create a culture that encourages groundbreaking results, career progression, and community investment.
            Ada is an equal opportunity employer. In fact, diversity is what drives our success – it’s at the core of how we hire, communicate, and work. Like our Platform, we are inclusive to all, and combine our diverse backgrounds, skill sets and thinking to build the best experiences for our clients and their customers.

            ",,https://jobs.lever.co/ada/74078995-c7ab-4a57-a418-96d15eec5339,aimasters@vectorinstitute.ai,https://www.ada.support/careers,,,2021-02-17T16:01:33.112Z,False,0,8,68,https://talenthub.vectorinstitute.ai/jobs/47828452-nlp-principal-machine-learning-scientist-remote-available-at-ada,,expired,2021-01-18T16:01:00.000Z,admin,Scaling (20-499),Application Click Through,Technology (Product Development),Senior Level,Bachelors Degree,Re-Posting an Expired Job, -f62f99c4-7177-4673-95c4-1eff972767e2,47831353,CIBC,Sr. Data Warehouse Application Consultant (Hadoop/Netezza/Oracle Exadata),on_site,"Toronto, ON, Canada",2021-01-18T18:31:16.150Z,"

            We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

            -

            -

            At CIBC, we embrace your strengths and your ambitions so you feel empowered at work. Our team members have what they need to make a meaningful impact and feel truly valued for who they are and what they contribute.

            -

            -

            To learn more about CIBC, please visit CIBC.com

            -

            -

            Job Description

            -

            -

            What You’ll Be Doing

            -

            -

            By joining CIBC’s Enterprise Risk Technology Group, you’ll be at the heart of a team bringing innovative technology to life as part of CIBC’s digital transformation. As a Sr. Data Warehouse Application Consultant, you’ll lead the technical design, development and integration of cross-functional, multi-platform application systems and mentor junior team members. You’ll build easy, flexible, and personalized banking solutions that enhance client experience and help build the bank of the future.

            -

            -

            How You’ll Succeed

            -

            -
              -
            • -Business Systems Expertise – Be the subject matter expert in business systems. Use your knowledge to define and document requirements for data, workflow, processes, systems, internal and external checks, controls and outputs to ensure the application exceeds expectations.
            • -
            • -Programming Knowledge – Lead the design and development of specifications and perform code reviews. Test, debug, document, and manage changes to ensure the successful implementation and maintenance of programs.
            • -
            • -Leadership Skills – Offer guidance and support to fellow developers. Provide strategic, informed recommendations to senior management, and keep up to date on current technology trends.
            • -
            -

            -

            Who You Are

            -

            -
              -
            • -You can demonstrate experience with: 8- 10 years as a seasoned Application Consultant utilizing Hadoop, Netezza, Oracle Exadata, SQL and Java in the development of complex data warehouse applications. Ideally, you have extensive knowledge of building large Data Warehouse, either on-prem or in the cloud. It’s an asset if: You have previous experience/knowledge of Risk Management within the financial services industry.
            • -
            • -You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it’s the right thing to do.
            • -
            • -You embrace and champion change. You'll continuously evolve your thinking and the way you work in order to deliver your best.
            • -
            • -You’re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
            • -
            • -You give meaning to data. You enjoy investigating complex problems, and making sense of information. You're confident in your ability to communicate detailed information in an impactful way.
            • -
            • -Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.
            • -
            -

            -

            What CIBC Offers

            -

            -

            At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

            -

            -
              -
            • -Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
            • -
            • -Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity
            • -
            • -Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, and individual development planning.
            • -
            • -Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan
            • -
            -

            -

            What You Need to Know

            -
              -
            • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation during the application or interview process, please contact Mailbox.careers-carrieres@cibc.com -
            • -
            • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit
            • -
            ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Data-Warehouse-Application-Consultant_2013250-1,aimasters@vectorinstitute.ai,https://www.cibc.com/en/about-cibc/careers.html,,,2021-02-01T17:07:00.000Z,False,0,0,11,https://talenthub.vectorinstitute.ai/jobs/47831353-sr-data-warehouse-application-consultant-hadoop-netezza-oracle-exadata-at-cibc,,expired,2021-01-18T18:31:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -75674fc3-0474-4a3b-a70c-bae3824d93ae,47943026,TD Bank Group,Sr Advanced Analytics Mgr,on_site,"Toronto, ON",2021-01-19T07:17:06.011Z,"
            -

            Company Overview

            -
            -

            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

            -

            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

            -
            -

            -

            Department Overview

            -
            -

            What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

            -

            As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

            -

            TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

            -
            -

            -

            Job Description

            -
            -

            CUSTOMER

            -
              -
            • Lead team of Data Scientists and Data Modelling professionals and provide day to day direction as needed
            • -
            • May also be accountable to lead team in developing powerful business insights from social marketing and industrial data using advanced machine learning techniques
            • -
            • Act as People Manager and is responsible for ongoing coaching and development, setting objectives, assessing performance
            • -
            • Work closely with business owners to identify opportunities and serve as an ambassador for data science
            • -
            • Lead and oversee the design and delivery of enterprise analytic solutions for customers
            • -
            • Work in a highly interactive, team-oriented environment with Big Data developers, and analytical experts
            • -
            -

            -

            SHAREHOLDER

            -
              -
            • May provide analytical thought leadership and stay current on developments in data mining and the application of data science
            • -
            • May oversee build of complex statistical models that learn from and scale to petabytes of data.
            • -
            -

            -

            EMPLOYEE / TEAM

            -
              -
            • Responsible for management of the overall team(s) providing both leadership and guidance
            • -
            • Set targets and objectives for the team, and deliver results
            • -
            • Grow team expertise to align with enterprise demand and the Bank’s direction; assess team skills and capabilities and continually look for ways to provide and enhance the value delivered
            • -
            • Foster an environment / culture that encourages productivity, innovation, process improvement, teamwork and a high level of professionalism
            • -
            • Co-ordinate necessary resources to ensure completion by deadlines
            • -
            • Provide coaching, development, succession, recruitment, resource management and overall team leadership for team members and provide regular input into team members’ assessment of performance and development plans
            • -
            • Prioritize and manage own workload in order to deliver quality results and meet timelines
            • -
            • Support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest
            • -
            • Identify and recommend opportunities to enhance productivity, effectiveness and operational efficiency
            • -
            • Establish effective relationships across multiple business and technology partners, program and project managers
            • -
            • Participate in knowledge transfer within the team and other business units, including participation in cross-functional groups or committees (e.g., Data Councils)
            • -
            -
            -

            -

            Requirements

            -
            -

            BREADTH & DEPTH

            -
              -
            • Oversee and lead a large and/or highly complex and diverse reporting function for an area of significant risk, complexity or scope
            • -
            • Strategic partner to leadership team on the management of the portfolio and financials, with deep industry, external / internal, enterprise knowledge, recognizing and anticipating emerging trends and; identifying operational efficiencies and opportunities with other business management / enterprise areas
            • -
            • Facilitate key strategic discussions and provide thought leadership to executive audience (output may include strategic roadmap and/or deliverables/ frameworks/ short to long term goals etc.)
            • -
            • Set operational team direction and collaborate with others to execute on common goals
            • -
            • Focus on longer-range planning for functional area (e.g. 12 months or greater)
            • -
            • Generally reports to business management executive
            • -
            -

            -

            EXPERIENCE & EDUCATION

            -
              -
            • Undergraduate degree or technical certificate
            • -
            • 10+ years relevant experience
            • -
            -
            -

            -

            Hours

            -
            37.5
            -

            -

            Inclusiveness

            -

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            -

            -
            ",,https://jobs.td.com/en-CA/jobs/12069980/sr-advanced-analytics-mgr-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-02-01T17:43:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/47943026-sr-advanced-analytics-mgr-at-td-bank-group,https://jobs.td.com/en-CA/jobs/12069980/sr-advanced-analytics-mgr-toronto-ca/,expired,2021-01-19T07:17:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -775131a8-4f00-465f-af75-e3724aa2ab22,48144354,TD Bank Group,Sr BI & Reporting Analyst,on_site,"Toronto, ON",2021-01-21T07:17:12.368Z,"
            -

            Company Overview

            -
            -

            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

            -

            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

            -
            -

            -

            Department Overview

            -

            The TDBG Global AML Compliance Department is accountable for establishing TDBG’s Global Anti-Money Laundering and Anti-Terrorist Financing Program (AML/ATF) to ensure that all TDBG businesses remain compliant with AML/ATF regulatory expectations in all jurisdictions where TDBG operates. This includes setting consistent standards across business segments that maybe further tailored to specific business or jurisdictional requirements; conducting annual enterprise-wide AML risk assessments; maintaining the Global AML Policy (including Know Your Customer (KYC) and Enhanced Due Diligence, record keeping & retention requirements); currency transaction and suspicious transaction monitoring and reporting; screening TDBG customers against regulatory watch lists; a hierarchy of designated AML officer functions; enterprise-wide and specialized AML training of employees; and independent AML testing.

            -

            -

            Job Description

            -
            -

            Reporting to the Manager, Business Intelligence and Analytics, the Senior Analyst will be responsible for providing various GAML areas with management information reporting, data analysis, business intelligence and data insights in support of the activities of the Global AML Compliance department, including Board and Executive Management Committees as well as regulators and audit.

            -
              -
            • Design, build, and implement reports for FIU, DGAMLO, Board Reporting, and other functions within Global AML department
            • -
            • Gather, assess, validate, conduct and document business intelligence analysis and reporting requirements and work with various groups within Global AML department to develop reports and publish dashboards and findings
            • -
            • Apply industry standard approaches to develop, validate and optimize queries to ensure consistency, accuracy and minimal impact to production processes.
            • -
            • Provide expert data retrieval from a variety of systems supported within Global AML department and launch reports into production to ensure effective execution of reports and data analysis. This includes understanding the business requirements, intended audiences, as well as providing guidance and knowledge of the underlying data models.
            • -
            • Ensure that business and technical requirements are captured in proper documentation and maintained.
            • -
            • Provide urgent support in response to regulatory and audit issues
            • -
            • Ensure data integrity by investigating anomalies in reported numbers from a variety of sources throughout GAML department
            • -
            • Drive development and continuous improvement of AML compliance and management reporting suite
            • -
            -

            -
            -

            -

            Requirements

            -
            -

            Specific Educational Requirements/Accreditations:

            -
            • University degree in Computer Science / Software Engineering
            -

            Qualification/Skills/Experience:

            -
              -
            • Minimum 5 years as a Programmer/Developer, with specific emphasis on reporting
            • -
            • Minimum 3 years in using and implementing visualization tools like Tableau
            • -
            • Excellent programming skills and a strong understanding of programming concepts and techniques.
            • -
            • Knowledge and experience in optimizing reports and queries to increase efficiency as well as working with underlying data models.
            • -
            • Strong knowledge of SAS & SQL programming with an emphasis on data step processing, SAS/Macro
            • -
            • Strong organizational skills, effective time and priority management with attention to detail, accuracy and thoroughness
            • -
            • Ability to deal with complex problems in a fast paced, dynamic environment with stringent deadlines.
            • -
            • Proficient with VBA and Excel/Access Macros.
            • -
            • AML knowledge considered as an asset
            • -
            -
            -

            -

            Hours

            -
            37.5
            -

            -

            Inclusiveness

            -

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            -

            -
            ",,https://jobs.td.com/en-CA/jobs/11027584/sr-bi-reporting-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2021-01-28T14:39:11.069Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/48144354-sr-bi-reporting-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/11027584/sr-bi-reporting-analyst-toronto-ca/,expired,2021-01-21T07:17:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, 117d090d-deda-44d2-8752-211ac50fb260,48144726,Scotiabank,"Velocity Tech Program- Analytics Engineer, Summer 2021",on_site,Canada : Ontario : Toronto,2021-01-21T07:18:57.794Z,"

            @@ -49287,6 +56453,471 @@ a2db6ec5-3e1c-49ae-b7ab-9cd7da883eb3,124172084,TD Bank Group,Technical Intern /

            Other Employment Statements

            Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

            The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

            ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00054085_en&title=Machine+Learning+Engineer,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2022-05-30T18:15:00.000Z,False,0,9,72,https://talenthub.vectorinstitute.ai/jobs/125436668-machine-learning-engineer-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=R00054085_en&title=Machine+Learning+Engineer,expired,2022-05-14T22:46:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Masters Degree,New Posting, +dfb5483c-c2b5-4e82-8a9e-d9989c876412,123650731,Deloitte,"Consultant, AI Strategy - Life Sciences and Healthcare Strategy, Omnia AI",on_site,"Toronto, ON, Canada",2022-05-02T16:48:23.948Z,"


            Date:
            Apr 25, 2022

            +

            Location: Toronto, Ontario, Canada

            +

            Company: Deloitte

            +

            Job Type: Permanent
            Primary Location: Toronto, Ontario, Canada
            All Available Locations: Toronto

            +

            Learn from deep subject matter experts through mentoring and on the job coaching
            Be encouraged to deepen your technical skills…whatever those may be.
            Be empowered to lead and have impact with clients, our communities and in the office.

            +

            +

            If you are looking to join a team where ideas and contributions matter, then you have come to the right place! Keep reading to find out more about your next career move.

            +

            What will your typical day look like?

            +

            As a Business Analyst/ Consultant, AI Strategy in our Life Sciences and Healthcare (LSHC) practice, you will contribute to a portfolio of Deloitte’s LSHC Omnia AI Strategy projects in areas such as customer engagement, patient centricity, digital, AI and data enablement and Real-World Evidence. The role includes working collaboratively within a team to analyze client issues, support streams of work within projects, present innovative approaches to deliver results, and developing recommendations, proposals and presentations for client engagements in the LSHC industry.

            +

            In this role, you will
            • Offer Artificial Intelligence and Data/Analytics expertise in the Life Sciences and Healthcare sector (e.g. public health/government, pharmaceutical and med-tech organizations, academia, retail pharmacies, digital health start-ups)
            • Contribute knowledge of foundational capabilities required to enable AI such as proper data governance and management
            • Provide awareness of disruptive trends and industry activity to advise Life Sciences and healthcare clients on their AI Strategy
            • Design AI and Analytics roadmaps for clients based on readiness, aspirations and vision
            • Support senior stakeholder workshops and labs to inform the AI roadmap/choices
            • Translate broader strategies into priorities, initiatives and a compelling team to achieve business/firm objectives

            +

            You will be able to achieve this by:
            • Understanding key objectives for our clients, and aligning people to them to set appropriate priorities and direction
            • Being a superb team player
            • Setting and driving a problem solving approach for our clients
            • Supporting the overall delivery of projects through a leadership role
            • Making an impact that matters by pushing yourself and your team to identify solutions to challenges that are most important for our clients, people, and society
            • Delivering exceptional client service by maximizing results and driving high performance from people, while also fostering collaboration across businesses and borders
            • Influencing clients, teams and individuals positively, leading by example and establishing confident and deep relationships across a diverse network

            +

            About the team

            +

            Deloitte has been recognized globally as a leading consulting firm for Life Sciences and Healthcare, and has practitioners serving clients in over 90 countries. Deloitte Canada’s National Healthcare and Life Sciences Group includes more than 500 professionals with experience supporting LSHC companies across the country in a collaborative fashion to improve health system strategy, operations, and patient outcomes.

            +

            Deloitte Omnia, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

            +

            Our AI Strategy team focuses on developing and delivering AI Strategy offerings to a variety of national and global clients across industries. Because of our continuous growth, we are looking to add an experienced individual with extensive hands-on work experience developing cutting-edge strategic programs in the data, analytics or AI domains.

            +

            Enough about us, let’s talk about you

            +

            You are someone with:

            +

            • “Big Picture” thinker, with the ability to achieve excellence through effective delegation and though leadership
            • Demonstrated understanding of data enabled opportunities for Life Sciences and Health Care clients, with experience developing data enabled strategy considered an asset
            • Entrepreneurial attitude, desire to create new business, ability to inspire followership amongst team members
            • 1-3 years of consulting or industry experience in a Strategic role with a reputable Professional Services, Consulting or Advisory Firms and/or other organizations (including start-ups) with a focus on Life Sciences and Healthcare in the public and/or private sector
            • Experience in strategy and/or technology enabled business transformation, innovation ideation, evaluation and adoption, strategic effectiveness and strategic model design, review, and management
            • Understanding of enterprise data and analytics concepts including operating model definition, data governance programs, analytical use case identification and best practices for data management
            • Technical experience in health analytics and artificial intelligence is considered a strong asset
            • Completed Undergraduate degree in biological sciences, health related field or similar; Master’s or PhD degrees and any recognized professional certifications would be an asset
            • Demonstrated affinity with technology and interest in the topic of data, AI or advanced analytics as business enablers
            • Strong senior/executive stakeholder management skills, including strong emotional intelligence and ability to relate to a variety of personality types
            • Superior written and verbal communication skills, including presentation and facilitation skills, and strong attention to detail
            • Structured problem solving skills and logical thinking, as well as ability to develop and present new ideas and conceptualize new approaches and solutions
            • Strong organization skills: ability to prioritize work demands, and meet deadlines
            • Commitment to quality, ethics, confidentiality, and professional and client service excellence
            • Bilingualism is an asset
            • Must be eligible for a Canadian Federal Security clearance at least at an Enhanced Reliability level
            • Some Canadian travel will be required; candidates must also be able to enter the USA to work on client assignments

            +

            +

            If you believe you have what it takes to be a successful member of our team please apply now. We know your career is important to you and it's important to us, too. The Senior Consultant role is just the first step of a highly successful career we can help you build.

            +

            Why Deloitte?

            +

            Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

            +
              +
            • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
            • +
            • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
            • +
            • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
            • +
            +


            The next step is yours

            +

            Sound like The One Firm. For You?

            +

            At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

            +

            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

            +

            +

            Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

            +


            Job Segment: Consulting, Data Management, Business Analyst, Technology, Strategy, Data

            ",,https://careers.deloitte.ca/job/Toronto%2C-Ontario%2C-Canada-Consultant%2C-AI-Strategy-Life-Sciences-and-Healthcare-Strategy%2C-Omnia-AI-ON/877249700/,aitalent@vectorinstitute.ai,https://careers.deloitte.ca/,,,2022-05-30T18:15:00.000Z,False,0,3,47,https://talenthub.vectorinstitute.ai/jobs/123650731-consultant-ai-strategy-life-sciences-and-healthcare-strategy-omnia-ai-at-deloitte,,expired,2022-05-02T16:48:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Masters Degree,New Posting, +0ce0c6fb-8e5a-4c49-a20b-1854a3b5a250,123650737,Deloitte,"Senior Consultant, AI Strategy, Omnia AI",on_site,"Ontario, Canada",2022-05-02T16:50:18.005Z,"

            Date: Apr 10, 2022

            +

            Location: Multiple Locations, Canada

            +

            Company: Deloitte

            +

            Job Type: Permanent
            Primary Location: Multiple Locations, Canada
            All Available Locations: Toronto; Calgary; Edmonton; Montreal; Ottawa; Vancouver

            +

            Learn from deep subject matter experts through mentoring and on the job coaching
            Partner with clients to solve their most complex problems
            Be empowered to lead and have impact with clients, our communities and in the office

            +

            +

            Are you passionate about developing and nurturing client relationships, leading project teams, coaching and mentoring colleagues while continuing to focus on personal and professional learning and growth and achieving the highest levels of quality performance? If you answered yes, then we have an opportunity waiting for you!

            +

            What will your typical day look like?

            +

            As a Senior Consultant, AI Strategy, you will be responsible for contributing to a portfolio of Deloitte’s Omnia AI Strategy projects. The role includes working collaboratively within a team to analyze client issues, leading streams of work within projects, presenting innovative approaches to deliver results, and developing recommendations, proposals and presentations for client engagements.

            +

            In this role, you will :

            +
              +
            • Offer expertise in Artificial Intelligence, Data/Analytics Strategy, operating model design, and business case development
            • +
            • Contribute knowledge of foundational capabilities required to enable AI such as proper data governance and management
            • +
            • Provide awareness of disruptive trends and industry activity to advise clients on their AI Strategy
            • +
            • Design AI and Analytics roadmaps for clients based on readiness, aspirations and vision
            • +
            +

            About the team

            +

            Deloitte Omnia AI, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

            +

            Our AI Strategy team focuses on developing and delivering AI Strategy offerings to a variety of national and global clients across industries. Because of our continuous growth, we are looking to add an experienced individual with extensive hands-on work experience developing cutting-edge strategic programs in the data, analytics or AI domains.

            +

            Enough about us, let’s talk about you

            +

            You are someone with:

            +
              +
            • Entrepreneurial attitude, desire to create new business, ability to inspire followership amongst team members
            • +
            • 3+ plus years of consulting experience in a Strategic role with a reputable Professional Services, Consulting or Advisory Firms and/or other organizations (including start-ups)
            • +
            • Experience in strategy and/or technology enabled business transformation, innovation ideation, evaluation and adoption, strategic effectiveness and strategic model design, review, and management
            • +
            • Understanding of enterprise data and analytics concepts including operating model definition, data governance programs, analytical use case identification and best practices for data management
            • +
            • Superior written and verbal communication skills, including presentation and facilitation skills, and strong attention to detail
            • +
            • Structured problem-solving skills and logical thinking, as well as ability to develop and present new ideas and conceptualize new approaches and solutions
            • +
            • Master of Business Administration or Masters of Management in Analytics is preferred
            • +
            +


            If you believe you have what it takes to be a successful member of our team please apply now. We know your career is important to you and it's important to us, too. The Senior Consultant, AI Strategy role is just the first step of a highly successful career we can help you build.

            +

            The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

            +

            Why Deloitte?

            +

            Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

            +
              +
            • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
            • +
            • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
            • +
            • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
            • +
            +


            The next step is yours

            +

            Sound like The One Firm. For You?

            +

            At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

            +

            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

            +

            +

            Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

            +


            Job Segment: Consulting, Data Management, MBA, Technology, Strategy, Data, Management

            ",,https://careers.deloitte.ca/job/Toronto-Senior-Consultant%2C-AI-Strategy%2C-Omnia-AI-ON-M5C-3G7/844885300/,aitalent@vectorinstitute.ai,https://careers.deloitte.ca/,,,2022-06-01T16:50:20.411Z,False,0,4,28,https://talenthub.vectorinstitute.ai/jobs/123650737-senior-consultant-ai-strategy-omnia-ai-at-deloitte,,expired,2022-05-02T16:50:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Masters Degree,New Posting, +928af841-4feb-484d-97cc-3ac1833d12b4,123650743,Deloitte,"Data Governance Specialist - Consulting, Omnia AI",on_site,"Ontario, Canada",2022-05-02T16:51:10.250Z,"

            Date: Apr 25, 2022

            +

            Location: Multiple Locations, Canada

            +

            Company: Deloitte

            +

            Job Type: Permanent
            Primary Location: Multiple Locations, Canada
            All Available Locations: Toronto; Calgary; Vancouver

            +

            +

            Learn from deep subject matter experts through mentoring and on the job coaching
            Be encouraged to deepen your technical skills…whatever those may be.
            Be empowered to lead and have impact with clients, our communities and in the office.

            +

            +

            Are you passionate about data and technology solutions, driven to learn about them and keep up with market evolution? Are you enthusiastic about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development? If you answered yes, then we have an opportunity waiting for you!

            +

            What will your typical day look like?

            +

            +

            As a Data Governance Specialist, you will play an active role throughout the entire engagement cycle, specializing in the management and governance of data solutions including data governance, data quality, data classification, data lineage and data cataloguing. Specifically, you will:

            +

            • Build data governance operating models and implement data governance solutions based on industry-standard governance frameworks
            • Work with cross-functional stakeholders including executives, IT representatives, business leaders and the analytics/AI user community to understand data challenges and identify solutions for remediation
            • Plan/schedule tasks, lead small development teams, and mentor junior colleagues

            +

            About the team

            +

            +

            Omnia AI, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

            +

            As a member of our Data Modernization & Analytics team within our Omnia AI practice, you will help our clients design and implement the data platform architectures – be it in the cloud or on-premises – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

            +

            Enough about us, let’s talk about you

            +

            +

            You are someone with:
            • 2+ years of relevant data management consulting or industry experience (master data, metadata, data architecture, data governance, data quality, data modeling, data standards)
            • 1+ year(s) Data Governance execution and/or operationalization experience
            • Excellent interpersonal relations and demonstrated ability to work with others effectively in teams while endorsing leadership role
            • Attention to detail and commitment to deliver high-quality work products with impeccable verbal and written communication skills
            • User or Implementation experience with data governance capabilities such as metadata ingestion, data mapping, business lineage & traceability, policy management, governance/quality metrics development & reporting, workflow and issue management, data stewardship management (roles and responsibilities), data classification and/or data catalogue management
            • Understanding of data governance technologies such as Collibra, Informatica AXON, Alation and/or IBM IGC is nice to have
            • Bachelor’s Degree or equivalent professional experience

            +

            If you believe you have what it takes to be a successful member of our team please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

            +

            Why Deloitte?

            +

            Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

            +
              +
            • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
            • +
            • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
            • +
            • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
            • +
            +


            The next step is yours

            +

            Sound like The One Firm. For You?

            +

            At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! Deloitte encourages applications from all qualified candidates that represents the full diversity of communities across Canada. This includes candidates from Indigenous communities in support of living our values and our commitments to our Reconciliation Action Plan . We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

            +

            By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

            +

            +

            Deloitte Canada has 52 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

            +


            Job Segment: Database, Consulting, Management Consulting, Cloud, Data Management, Technology, Management, Data

            ",,https://careers.deloitte.ca/job/Multiple-Locations%2C-Canada-Senior-Consultant%2C-Data-Governance-Specialist-Consulting%2C-Omnia-AI/877147600/,aitalent@vectorinstitute.ai,https://careers.deloitte.ca/,,,2022-06-01T16:51:12.668Z,False,0,0,25,https://talenthub.vectorinstitute.ai/jobs/123650743-data-governance-specialist-consulting-omnia-ai-at-deloitte,,expired,2022-05-02T16:51:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, +76316b56-2cd5-48c0-89ad-4fe886d9006e,127656831,Shopify Inc.,"Senior Data Science Manager - Merchant Services, Retail Growth (Remote, Canada)",on_site,"Ontario, Canada",2022-05-27T07:35:22.158Z,"

            About the role

            +

            Our mission in Merchant Services, Retail is to help retailers everywhere thrive in an e-commerce reality.

            +

            As e-commerce becomes more and more crucial to an overall retail strategy, retailers must adapt and Shopify is uniquely positioned to help. We have developed world class retail Point-of-Sale (POS) products that have the power to transform retailers’ physical stores and businesses from offline to omnichannel. We’re looking for someone to help us get these products in the hands of merchants everywhere. Together, we’ll make commerce work for local communities and make commerce better for everyone.

            +

            For the Senior Data Science Manager, Retail Growth role, we’re looking for someone who will:

            +
              +
            • Help drive customer acquisition, growth and activation to help us help merchants around the world
            • +
            • Use data to gain insights and drive decisions in growing a customer base

            • +
            • Lead a large team across multiple time zones and work cohesively to achieve shared goals

            • +
            • Partner closely with product growth leaders in Product, Engineering, UX and marketing to define growth strategy for Shopify retail

            • +
            • Identify, implement and measure new growth levers and product features through data analysis, product ideation, and experimentation to optimize product experiences

            • +
            • Lead a culture of understanding and experimentation defined by quantitative acumen, deep user empathy and rigorous A/B testing

            • +
            • Define and drive implementation of best practices in Data Engineering, Product Analytics and Machine Learning in alignment with business goals

            • +
            • Leverage deep industry knowledge to create broad awareness of the possibilities using data

            • +
            +

            +

            Qualifications

            You will need to have:

            +
              +
            • 5+ years managing highly-technical teams of Data Scientists, Engineers and Analysts

            • +
            • Strong track record of driving successful product growth strategy through a combination of data analysis, product ideation, and experimentation

            • +
            • Gifted communicator with strong focus on communicating in clear and compelling ways to audiences of many non-technical backgrounds

            • +
            • Applied experience working with large datasets both as an individual contributor and a leader

            • +
            • Familiarity with design and analysis of controlled experiments (A/B testing)

            • +
            • Hands-on experience with data querying languages (e.g. SQL)

            • +
            • Experience leading managers and senior individual contributors

            • +
            • Deep understanding of the Python programming language (strongly preferred)

            • +
            +

            This is a world class product that has demonstrated product-market fit and a tremendous amount of potential to grow. With this role, you’ll have the opportunity to make a massive impact in a short amount of time and be a part of an incredible Shopify success story.

            +
            +
            +
            +

            All your information will be kept confidential according to EEO guidelines.

            +

            If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.

            +

            #LI-REMOTE

            +

            +

            Shopify is now permanently remote, and we’re working towards a future that is digital by design. That location you see above? Consider it merely an example of hundreds of potential locations Shopify is hiring. Learn more here: https://www.shopify.com/careers/work-anywhere

            +

            Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

            +

            At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.

            How we hire

            At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
            Learn more about our hiring process +
            +
            +
            +
            ",,https://www.shopify.ca/careers/senior-data-science-manager-merchant-services-retail-growth-remote-canada_245aae24-4edd-44ba-a294-306aa4f1e0ef,feed-importer@jobboard.io,,,,2022-06-02T07:40:26.882Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/127656831-senior-data-science-manager-merchant-services-retail-growth-remote-canada-at-shopify-inc,,expired,2022-05-27T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Manager,Bachelors Degree,New Posting, +d273956e-59d5-4ab8-b18a-af60c9ed8ddb,127549497,Bell Canada,"Consultant, Insight & Analystics",on_site,"Mississauga, Ontario",2022-05-26T18:19:10.148Z,"

            Req Id: 376382

            +

            +

            At The Source, we believe that the right tech makes all the difference and exist to help Canadians discover the endless possibilities of tech. We carry the latest tech, offer advice across all categories and networks, and put our customers first to ensure they find the right tech for them.

            +

            +

            Every day our Associates across the country help Canadians find the tech they want and need. The Source is a great place to work and we are committed to your development through best in class training programs that help you do your best. Behind our in-store Associates is a supporting team of professionals who curate our product assortment, ensure on-time deliveries, create engaging marketing campaigns and help keep our systems running at peak capacity.

            +

            +

            We are passionate about what we do and look for individuals with their own passion, curiosity and genuine helpfulness to join us!

            +

            The Consultant, Insights and Analytics is responsible for providing ongoing support to the merchandising, supply chain, and private brand areas with analytics and insights by synthesizing large amounts of data, identifying business trends and translating insights into strategies and recommendations. There will also be a component of building new analytical capability into the organization with respect to clustering and assortment optimization (SKU/store).

            +

            +

            Job Duties/Accountabilities:

            +
              +
            • Support various category strategies by providing clustering and assortment recommendations.
            • +
            • Lead discussions amongst cross functional partners on execution of category strategy
            • +
            • Deep dive analysis: synthesize large data sets to derive meaningful and actionable insights; from ideation to implementation - create methodology, create actionable insights, influence decision making, evaluate post-mortems
            • +
            • Build Advanced Mathematical/Statistical Analysis methods & tools driving go-to-market strategies
            • +
            • Leverage external data sets to better understand consumer behaviour/trend
            • +
            • Effective collaboration and communication across varying hierarchy and business units (i.e. presenting recommendations and action plans to senior management)
            • +
            • Actively seek to innovate and elevate analytics value proposition across organization by identifying and quantifying new business opportunities
            • +
            • Build new capability into the company as new forecasting system rolls out in regards to sku/store parameter setting, store module sizes and space planning
            • +
            • Provide recommendations to optimize overall inventory through analytical data mining and retail best practices
            • +
            • Understand and advise on key retail math & supply chain metrics. Drive Actions & Go-to-market strategies.
            • +
            • Ad-hoc reporting and analysis
            • +
            +

            +

            Critical Qualifications/Competencies:

            +
              +
            • Excellent communication skills (both written and oral) and ability to influence decision-making across various levels of hierarchy, with strong presentation skills
            • +
            • Strong analytical experience, with the ability to transform data into meaningful actions
            • +
            • Solid business acumen, with the ability to understand how retail KPIs interact
            • +
            • Proficiency in data analytics and mining; able to pull and manipulate data quickly
            • +
            • Highly detail oriented with ability to multi-task and easily adapt to business needs
            • +
            • A self-starter who can lead and take initiative, and is comfortable with ambiguity
            • +
            • Ability to work with cross-functional teams within the organization
            • +
            • Advanced skills in Excel and PowerPoint
            • +
            • Knowledge in the following tools and programs would be considered an asset: R, SQL, Python, Tableau (or other Visualization tools)
            • +
            +

            +

            #corp

            +

            #corpo

            +

            Position Type: Management
            Position: [[extTitle]]
            Job Location:
            Canada : Ontario : Mississauga
            Flexible work profile:
            Mobile
            Application Deadline: 06/06/2022

            +

            +

            Bilingualism is an asset (English and French); adequate knowledge of French is required for positions in Quebec.

            +

            +

            As Canada's favourite tech retailer you have the opportunity to work close to home - and we're also proud to offer a competitive compensation package that includes an extensive recognition and rewards program, career development opportunities, multi-faceted training programs, competitive medical and dental benefits, charity and volunteer opportunities and of course, associate discounts!

            +

            +

            The Source celebrates and embraces diversity as part of our culture. We strive to be an inclusive, equitable and accessible environment that supports both our internal and external customers, ensuring everyone feels valued and respected. Accommodations are available on request for all candidates taking part in any aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or inclusion@thesource.ca to make arrangements.

            ",,https://jobs.bell.ca/ca/en/job/BECACA376382EXTERNALENCA/Consultant-Insight-Analystics?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2022-06-06T18:24:06.365Z,False,0,4,35,https://talenthub.vectorinstitute.ai/jobs/127549497-consultant-insight-analystics-at-bell-canada,BECACA376382EXTERNALENCA,expired,2022-05-26T18:19:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, +ee092a2e-06cb-4a52-bf7c-60260d689d9f,129255884,RBC,Data Analyst,on_site,"Toronto, ON, Canada",2022-06-02T12:53:10.770Z,"
            +

            Come Work with Us!

            At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

            Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

            +

            Job Title

            Data Analyst

            +

            +

            Job Description

            +

            What is the opportunity?

            +

            You will play a key role in developing and executing upon the data management strategy and goals for RBC Capital Markets. As part of an evolving and maturing data management function, the Client Data Management team is accountable for the implementation and maintenance of the reference data used in our operational processes, supporting our data governance and quality controls, as well as participating actively in business and regulatory initiatives that have a significant data impact.

            +

            +

            What will you do?

            +
              +
            • Support the global management of Client reference data for Capital Markets
            • +
            • Ensure data content is fit for purpose and meets the data quality requirements of business consumers
            • +
            • Provide robust data analysis and subject matter expertise that supports daily operations and enterprise initiatives
            • +
            • Interface with internal and external clients and vendors as they relate to client data management
            • +
            +

            +

            What you need to succeed?

            +
              +
            • Completion of an applicable university degree and/or relevant professional designation with a minimum of two years of experience in Python, R and or other programming languages
            • +
            • Solid understanding of data management practices
            • +
            • 2+ years of data management experience in a similar role within the investment industry
            • +
            • Advanced Excel Skills
            • +
            +
              +
            • Analyze large data sets using pivot tables and pivot reporting
            • +
            • Ability to write and create advanced formulas using VLOOKUP, Arrays, Index and Match functions; debug and audit
            • +
            +
              +
            • Build macros using VBA (Visual Basic for Applications)
            • +
            • Ability to structure and present data for reporting using conditional formatting, tables and charting
            • +
            +
              +
            • Intermediate SQL skills
                +
              • Understanding and usage of SQL keywords, data types, constraints, pivots, sub queries, logical and comparison operators, and advanced joins (inner, outer) and unions
              • +
              • Understanding and usage of update and insertion statements and syntax for altering and creating structures
              • +
              • Can generate complex data reports using GROUP BY and aggregate functions
              • +
              • Understands SQL concepts of foreign keys, transactions, triggers, and stored procedures
              • +
              +
            • +
            • Excellent communication skills – written and oral
            • +
            • Strong troubleshooting and problem solving skills
            • +
            +

            +

            What’s in it for you?

            +

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

            +
              +
            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation
            • +
            • Leaders who support your development through coaching and managing opportunities
            • +
            • Work in a dynamic, collaborative, progressive, and high-performing team
            • +
            • Opportunities to do challenging work
            • +
            • Flexible work/life balance options
            • +
            +

            +

            +

            Job Summary

            +

            Address:

            TORONTO, Ontario, Canada

            City:

            CAN-ON-TORONTO

            Country:

            Canada

            Work hours/week:

            37.5

            Employment Type:

            Full time

            Platform:

            Capital Markets

            Job Type:

            Regular

            Pay Type:

            Salaried

            Posted Date:

            2022-05-31-07:00

            Application Deadline:

            2022-06-07-07:00
            +

            Inclusion and Equal Opportunity Employment

            +

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

            +
            +

            Join our Talent Community

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

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

            +
            ",,https://jobs.rbc.com/ca/en/job/R-0000014311/Data-Analyst,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2022-06-06T21:36:00.000Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/129255884-data-analyst-at-rbc,,expired,2022-06-02T12:53:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +67aa66c3-597c-4adf-b33d-5b970e8d80ef,124679706,Scotiabank,Velocity - Data Engineer Internship/Co-Op - Fall 2022,on_site,Canada : Ontario : Toronto,2022-05-10T05:06:03.164Z,"

            +

            +

            +

            +

            Requisition ID: 152570

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

            +

            +

            Velocity – Data Engineer Internship/Co-Op

            +

            Fall 2022 (8 & 12 Months: September – April & September – August)

            +

            +

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

            +

            +

            The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

            +

            +

            Is this role right for you? In this role, you will:

            +
            • Perform data exploration on different data sources and model training
            • Productionalize/Operationalize advanced analytics models following the Bank standards. ModelOps plays a key role as a liaison with other teams (Security, Privacy, Data Office, Analytics Technology, among others)
            • Automate data pipelines and trigger actions/events to streamline business processes and models enablement
            • Enable mechanisms for Data Scientist and stakeholders to monitor the performance of a Model
            • Monitor the run time of the models, work closely with Data Scientist on continuous optimization
            • Monitor data pipelines, liaise with vendors, and source systems groups in the event of failures/maintenance
            • Migrate data pipelines and models to new analytics platforms
            • Experiment & learn!
            • +
            +

            +

            Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

            +
            • You are currently enrolled in post-secondary education.
            • You love to learn and envision yourself working for an international organization that heavily invests in your future.
            • You enjoy being involved in extracurricular activities such as conferences, clubs, and hackathons.
            • +You have knowledge/experience in:
              • Big Data Technologies (Hive/Beeline, HDFS, Sqoop, Spark)
              • Cloud platforms – GCP, Azure or AWS
              • MinIO Data Storage, Airflow, Trino
              • DB2, SQL Server
              • Python (PyHive, PySpark), R, SQL-Shell (Bash, Korn) & general Linux/Unix
              • CI/CD tech stack (BitBucket, Jenkins, Artifactory)
            • +
            +

            +

            What’s in it for you?

            +
            • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
            • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
            • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
            • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
            • +
            +

            +

            How do I apply?

            +

            +

            Please complete all three steps below:

            +
            1. Complete your PLUM Profile here and save as a screenshot.
            2. Complete a short one-way video interview here.
            3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
            4. +
            +

            +

            *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all three steps above.

            +

            Application Deadline: 05/30/2022

            +

            +

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Engineer-InternshipCo-Op-Fall-2022-ON/559775617/,feed-importer@jobboard.io,,,,2022-06-06T21:36:00.000Z,False,0,4,33,https://talenthub.vectorinstitute.ai/jobs/124679706-velocity-data-engineer-internship-co-op-fall-2022-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Engineer-InternshipCo-Op-Fall-2022-ON/559775617/,expired,2022-05-10T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +9308fcd7-92d7-4be6-822d-bbc06f4ade47,124679705,Scotiabank,Velocity - Data Scientist Internship/Co-Op - Fall 2022,on_site,Canada : Ontario : Toronto,2022-05-10T05:06:03.078Z,"

            +

            +

            +

            +

            Requisition ID: 152571

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            +

            +

            Velocity – Data Scientist Internship/Co-Op

            +

            Fall 2022 (8 Months: September – April)

            +

            +

            There's no better way to find your dream job than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

            +

            +

            The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

            +

            +

            Is this role right for you? In this role, you will:

            +
            • Collaborate with business lines and other stakeholders and identify opportunities to drive business value by leveraging data science solutions
            • Leverage distributed computing tools (e.g., Spark, Cloud) for analysis, data mining, and modeling
            • Collaborate with data engineering, software developer, and other analytics teams to build analytical dataset and model
            • Create and apply model and algorithm testing strategies to measure, conduct testing to measure the effectiveness of models, and make ongoing changes
            • Prepare detailed documentation to outline data sources, models, and algorithms used and developed
            • Present results to business line stakeholders and help implement real data-driven changes
            • Work on challenging and research-based initiatives using advanced machine learning methods focusing on data-driven outcomes
            • Experiment & learn!
            • +
            +

            +

            Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

            +
            • You are currently enrolled in post-secondary education.
            • You love to learn and envision yourself working for an international organization that heavily invests in your future.
            • You enjoy being involved in extracurricular activities such as conferences, clubs, and hackathons.
            • +You have knowledge/experience in:
              • Cleaning, transforming, and visualizing large data sets working with various data formats (e.g., unstructured logs, XML, JSON, flat files)
              • Big Data/Cloud ecosystem (e.g., GCP)
              • Experimental design, statistical analysis, machine learning
              • Python programming
              • Common machine learning libraries in Python, PySpark (scikit-learn, xgboost)
              • UNIX tools and shell scripting
              • SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)
              • Visualization tools like PowerBI
              • Kubernetes
              • Git Workflows (Pull Request, Code Review, Branching)
            • +
            +

            +

            What’s in it for you?

            +
            • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
            • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
            • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
            • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
            • +
            +

            +

            How do I apply?

            +

            +

            Please complete all three steps below:

            +
            1. +Complete your PLUM Profile here and save as a screenshot. +
            2. Complete a short one-way video interview here.
            3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
            4. +
            +

            +

            *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all three steps above.

            +

            Application Deadline: 05/30/2022

            +

            +

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Scientist-InternshipCo-Op-Fall-2022-ON/559775717/,feed-importer@jobboard.io,,,,2022-06-06T21:36:00.000Z,False,0,3,40,https://talenthub.vectorinstitute.ai/jobs/124679705-velocity-data-scientist-internship-co-op-fall-2022-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Scientist-InternshipCo-Op-Fall-2022-ON/559775717/,expired,2022-05-10T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, +6041c5cf-43c3-4526-8b00-389901cfa764,128290470,RBC,"Data Analyst, Corporate Client Group",on_site,"Toronto, ON, Canada",2022-05-30T12:53:05.598Z,"
            +

            Come Work with Us!

            At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

            Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

            +

            Job Title

            Data Analyst, Corporate Client Group

            +

            +

            Job Description

            +

            +

            Please note, this is a Canada-wide opportunity.

            +

            +

            What is the opportunity?

            +

            This technical role is part of Corporate Client Group (CCG) National Operation’s Data Analytics team who delivers and maintains CCG’s management information systems, creates meaningful data visualizations and improves reporting processes. You require critical thinking, strong technical skills, effective project management and great attention to detail to ensure success in this role. RBC CCG National Operations supports CCG planning, directing, and overseeing their operational policies, rules, initiatives, and goals. The CCG team is responsible for meeting annually established targets for revenues and returns, providing advice to our partners along with broader RBC relationship goals, while the National Operations team helps & supports the group execute long-term and short-term plans.

            +

            +

            What will you do?

            +
              +
            • Analyze large datasets in Excel and SQL; create ad-hoc and periodic reporting that are accurate and timely; and document and diagram key data management processes
            • +
            • Create and maintain robust databases in SQL Server and MS Access
            • +
            • Build meaningful data visualizations in Tableau and Excel for performance reporting
            • +
            • Support all CCG teams nationally and senior management to provide data and analytics solutions that support data driven decisions
            • +
            • Utilize VBA, SQL and other programming languages to make database and reporting processes more efficient
            • +
            • Perform database administrative duties including database maintenance, manage ETL processes, data cleanups and proactively monitor data quality
            • +
            • Manage Data Analytic team’s JIRA service desk and Confluence
            • +
            +

            +

            What do you need to succeed?

            +

            Must have:

            +
              +
            • Undergraduate or equivalent degree in Computer Science, Computer Engineering or Management Information Systems with knowledge and experience in database and data management principals
            • +
            • Minimum of 2 years of professional work experience in a business intelligence, data analytics, or data warehousing
            • +
            • Professional verbal and written communication skills
            • +
            • Intermediate knowledge and experience with Tableau or other data visualization tools, as well as, advanced level of MS Office (with a focus on Excel and Access), SQL and VBA
            • +
            • Ability to solve problems through creativity and critical thinking, strong analytical skills and attention to detail
            • +
            • Proven capabilities in effective management of tasks and delivering high quality work while performing well under pressure, meeting time sensitive deadlines, and prioritizing work
            • +
            +

            +

            Nice to have:

            +
              +
            • Database Administration Experience
            • +
            • Python, C programming, Java
            • +
            +

            +

            What’s in it for you?

            +

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

            +
              +
            • Learn and develop new technical skills in a team that supports creativity and thinking outside of the box
            • +
            • Improve organizational skills including business analysis, project coordination and effective communication
            • +
            • Exposure to fast paced high performing teams and senior management
            • +
            • Work in a dynamic and collaborative organization that supports personal and professional growth
            • +
            • Flexible working environment with WFH hybrid model
            • +
            • Opportunities to learn and grow through challenging work
            • +
            • Being part of a great organization that values inclusion and diversity
            • +
            +

            +

            +

            +

            Job Summary

            +

            Address:

            TORONTO, Ontario, Canada

            City:

            CAN-ON-TORONTO, CAN-QC-MONTRÉAL

            Country:

            Canada

            Work hours/week:

            37.5

            Employment Type:

            Full time

            Platform:

            Personal and Commercial Banking

            Job Type:

            Regular

            Pay Type:

            Salaried

            Posted Date:

            2022-05-26-07:00

            Application Deadline:

            2022-06-10-07:00
            +

            Inclusion and Equal Opportunity Employment

            +

            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
            ​​​​​​​
            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

            +
            +

            Join our Talent Community

            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

            +
            ",,https://jobs.rbc.com/ca/en/job/R-0000013889/Data-Analyst-Corporate-Client-Group,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2022-06-13T12:58:05.572Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/128290470-data-analyst-corporate-client-group-at-rbc,,expired,2022-05-30T12:53:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +1fae11e0-4e9e-490c-8bd4-7e2c6ca4f111,128314137,TD Bank Group,Manager Analytics & Insights,on_site,"Toronto, ON",2022-05-30T21:06:16.214Z,"
            +

            Company Overview

            +
            +

            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

            +

            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

            +
            +

            +

            Department Overview

            +
            Corporate Defense Group DAR team is a part of a broader shared strategy group encompassing Strategy & Planning, Data Management and Governance and Data, Analytics and Reporting supporting the 4 LOBs within CDG: Global Security and Investigations, Fraud Risk Management, Enterprise Insider Risk Program and Global Privacy. The teams supported represent unique businesses that span both 1st and 2nd line responsibilities within the 3 Lines of Defense model of risk management and have immense synergies and an overall united goal of protecting the bank.
            +

            +

            Job Description

            +
            +

            For this role, we’re counting on your technical leadership to forge our path moving forward. As an emissary of the crucial nature of data analytics, you’ll work in close proximity with others across the bank and within our broader DAR team to supporting our partner LOBs, with a direct focus on leading the Fraud Risk Management workstream for data analytics product planning, development & delivery. You have an interest in understanding and exploring risk and how analytics solutions can drive better business decisioning. You’ll play a crucial role on cross functional teams of data scientists, data analysts, BI analysts, and business process owners to build out and implement world-class analytic solutions enterprise wide. You can handle just how much data TD has, and cannot wait to help build analytics solutions, visualizations and statistical models that scale to them.

            +

            As a Manager Analytics & Insights, these are the essential qualifications of this role:

            +
              +
            • Lead and manage data initiatives, a team of data professionals and overall operations of a diverse group in an area of moderate risk, complexity or scope
            • +
            • Lead and execute data/business analysis using various internal data sources and partner owned sources to support the understanding of threats, customers, business drivers and financial results
            • +
            +
              +
            • Guide and lead analytics solutions and data science concepts within the broader analytics team and inspire the adoption of visualizations, analytics and data science across the organization as its mandate grows and develops
            • +
            • Interpret the meaning of new strategic directions and set objectives and measurements
            • +
            • Capture and analyze information or data on current and future trends as well as develop visualizations that will be used for FRM’s mandates and shared with SET members, LOB executive owners and risk partners/committees
            • +
            • Support the building of sustainable data pipelines and processes to keep delivered data products maintained efficiently (run the bank) and continue to explore and develop new data products (change the bank)
            • +
            • Work with partner CDG DAR workstreams (GSI, EIRP, Advanced Analytics & Engineering) to support on groundbreaking and cross functional use cases
            • +
            • Educate the organization on approaches, such as testing hypotheses and statistical validation of result
            • +
            • Research organizational and professional trends, evaluate information sources, and collate and compare findings for bias, omission and accuracy, conduct objective analysis
            • +
            +
              +
            • Liaise with business partners to conduct effective discussions on project requirements, data specifications, priority and timelines to ensure timely and accurate deliveries
            • +
            • Manage resource capacity and maintain a pool of technical specialists to work on data and reporting projects
            • +
            • Work with business partners to define yearly roadmap of deliverables and related milestones, establish an ongoing pipeline of work and leveraging an agile mindset and methodology to prioritize the backlog and successfully deliver MVP data products

              #LI-Hybrid

              +
            • +
            +
            +

            +

            Requirements

            +
            +

            What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.
            As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.
            TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

            +

            Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

            +
              +
            • Undergraduate Degree
            • +
            • Masters Degree or Technical Certificate in Data Analytics or relevant field would be an asset
            • +
            • 5-7 years relevant experience
            • +
            • Experience and Knowledge of the Fraud would be an asset
            • +
            • Advanced knowledge with industry data tools: R, Python, Tableau, SQL Server MS & Data Tools, Hadoop, along with familiarity with Microsoft Azure and related tookit.
            • +
            • Advanced knowledge of mathematical and statistical practices pertaining to data analytics/science
            • +
            • Ability to take high-level conceptual questions/ideas to solution & recommendation by completing a thorough review & analysis which may include structuring models and analysis, research and gathering data, distilling insights that inform business decisions, creating working committees and presenting results in writing and verbally to senior executives
            • +
            • Ability to work independently with large amounts of data to develop insights and recognize trends
            • +
            • Expertise in working effectively in teams – requires a track record of working cross-organizationally and with multiple stakeholders at varying levels
            • +
            • Experience in relationship building and strategic influencing within own organization and with partners
            • +
            +
            +

            +

            Hours

            +
            37.5
            +

            +

            Inclusiveness

            +

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            +

            +
            ",,https://jobs.td.com/en-CA/jobs/15605275/manager-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-06-13T21:11:19.053Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/128314137-manager-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15605275/manager-analytics-insights-toronto-ca/,expired,2022-05-30T21:06:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, 665e8f7f-2959-4682-97fb-b6cb1647ba8d,127070280,Scotiabank,Canadian Banking - Data Analytics Internship/Co-op - Fall 2022,on_site,Canada : Ontario : Toronto,2022-05-24T05:06:06.037Z,"

            @@ -51056,803 +58687,301 @@ b703c917-e8f0-4342-9b70-063ff080f647,188513034,Georgian,ML Ops - Intern,on_site,

            accommodations are available to job applicants on request and

            throughout the application process. If you require accommodation, please

            contact peopleoperations@georgian.io.

            ",,https://jobs.lever.co/georgian/e25d8a37-f17e-4d53-8382-e044ea929e88,aitalent@vectorinstitute.ai,https://georgianpartners.com/careers/,,,2023-01-23T23:29:00.000Z,True,0,19,89,https://talenthub.vectorinstitute.ai/jobs/188513034-ml-ops-intern-at-georgian,,expired,2023-01-19T20:29:00.000Z,admin,Scaling (20-499),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -0ae4827b-9a63-449a-a95f-20e3fc27ca17,159577456,AltaML,Associate Machine Learning Developer (Jan 2023 Term) ,on_site,"Calgary, AB, Canada",2022-10-24T18:46:06.250Z,"

            Do you see yourself here?

            -


            This would be a 4 month paid contract starting January, 2023 and ending in April, 2023. The deadline for submitting your application is October 30th, 2022. Assessments and interviews for this cohort group will be held in the month of November 2022, so please keep an eye out on your inbox for further information around that time frame.

            -

            Applications are open in advance to allow interested candidates to apply to a cohort term that works for them. We are accepting applications from all over Canada. However, we are looking for people who are committed to relocating to Calgary during the program, and looking for work in Calgary once the contract is complete. Please note that physical presence in Calgary is a requirement for this program. Do you get excited about the chance to solve real-world problems using data and code? AltaML works with progressive partners in industries such as Health, Financial Services and Natural Resources. Sure, we are a tech company, so we offer a well-stocked kitchen including good coffee, sparkling water, and snacks. We are an office filled with foodies and enjoy experiencing different flavours from around the world. We also offer Welcome Lunches, Friday Socials, hot sauce tastings and so much more!

            -

            Job Role:

            -


            As an Associate Machine Learning Developer you will have a chance to work on ML projects and deliver real solutions to our Industry Partners including ATB Financial, Suncor Energy, Spartan Controls, and TransAlta Corporation.

            -

            Our program experience is unique and designed to give you hands on experience to prepare you for professional success. During the 16 week period you will be placed on a team to work on specific use case(s) identified by the Industry Partners. You will work with multiple tools and gain experience in multiple AI/ML and data processing fields. You will also be given resources and mentorship to help with your growth and career advancement. The teams will be led by mentors utilizing AltaML methodology to create working models for the viable use case(s), and help guide the teams to make recommendations on how best to implement the solution with the Industry Partner. Our ultimate goal is to set you up for success and have you hired in the future after our program!

            -

            What You'll Be Doing:

            -
                -
              • Participate in team planning sessions and educational presentations
              • -
              • Review the data to understand its overall scope and structure
              • -
              • Identifying the right metric to measure the success of the model and project
              • -
              • Work in teams to pre-process the data for analysis and model development
              • -
              • Uncover trends, insights, and key features to help guide where ML solutions can be applied
              • -
              • Develop models around the available data and suggested set of problems
              • -
              • For viable use cases develop proof of concept working models
              • -
              • Suggest and explore novel solutions to a problem and detailed recommendations for how to integrate the models in business
              • -
              • Communicating and presenting your teams work to AltaML and Industry Partners
              • -
              • Get familiarity with various data processing tools and exposure to AI/ML algorithms
              • -
              • Independently researching and connecting with your cohort to gain domain knowledge and learn state-of-the-art techniques
              • -
            -

            Who We Are Looking For:

            -

            Minimum Requirements:

            -
              -
            • Knowledge of Python and data science libraries/packages such as pandas, scikit-learn, matplotlib
            • -
            • Post secondary degree / diploma in a related field, or technical training
            • -
            • Understanding of Machine Learning concepts and/or background in statistics
            • -
            • Must havea valid full-time work permit to work in Canada
            • -
            • Must be in Calgary or willing to relocate to Calgary -
            • -
            -

            About the AltaML Applied AI Lab
            We transform the way you think about applied AI Teams are structured around industry-led projects, guided by machine learning mentors to provide working models to support informed strategic decision-making around the use of key AI technologies in business.

            -


            Associates

            -

            We offer you the experience of what it is like to apply AI to real-world industry problems. Learn how to define use cases, communicate with Industry Partners, and build ML models through mentor-led teams.

            -


            Partners

            -

            We strategically partner with businesses building and scaling their data science teams. Our partners are focused on and investing in deploying applied AI solutions that can enhance their core operations through digital transformation programs and informed strategic decision-making around the use of key AI technologies.

            -


            Community

            -

            We create increased local AI capacity to create a network effect and help equip companies in emerging and traditional sectors to compete in the global economy.
            ---

            -

            Confidence can sometimes hold us back from applying for a job. We'll let you in on a little secret - there is no such thing as a perfect candidate. AltaML is working with new technologies, and no one is standing still when it comes to learning. As long as you are continuing to push your growth and development, then consider applying even if you don’t check all the boxes on our posting.

            So, however you identify and whatever background and experiences you bring, please apply if this is a role that would make you “tap dance to work” every day. We would love to add your biological uniqueness to our own! :-)

            You will be required to undergo the following checks during the hiring process:

            -Background
            -Criminal
            -Credit
            -References

            -


            -


            ",,https://jobs.lever.co/altaml/9fb89e0f-4eb6-46d4-947b-1eef7101f63c,hera@altaml.com,http://www.altaml.com,,,2022-11-03T15:31:00.000Z,False,0,7,83,https://talenthub.vectorinstitute.ai/jobs/159577456-associate-machine-learning-developer-jan-2023-term-at-altaml,,expired,2022-10-24T18:46:00.000Z,website-existing-job-slot,Scaling (20-499),Application Click Through,Software,Entry Level,Bachelors Degree,New Posting, -f6595515-e697-4edd-bb42-58d15c6928e0,160264940,Bell Canada,"Data Analyst, Business Intelligence",on_site,"Don Mills, Ontario",2022-10-26T17:20:11.185Z,"

            Req Id: 405153

            +79cc96e8-9cdf-4314-938a-3a576cc61d0b,181084205,Scotiabank,Global Banking and Markets - Global Business Payments/Co-Op - Summer 2023,on_site,Canada : Ontario : Toronto,2022-12-26T17:22:02.184Z,"

            -

            At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we’re revolutionizing how Canadians communicate.

            -

            If you’re ready to bring game-changing ideas to life and join a community that values bold ideas, professional growth and employee wellness, we want you on the Bell team.

            +

            Requisition ID: 170184

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            -

            Job Description

            -

            The successful candidate will hold a key role within the Neighborhood Marketing Team (NMT) territory deployment strategy. A background in analytics, strategy, planning, presentation, project management and business leadership are required for this position.

            +

            Term: May-August 2023

            +

            Application Deadline: 01/23/2023

            +

            +

            There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

            +

            +

            Global Banking & Markets provides a full range of investment banking, credit and risk management products and services relevant to the financing and strategic development needs of our clients. Our products include debt and equity financing, mergers & acquisitions, corporate banking, institutional equity sales, trading and research, fixed income products, derivatives, energy, foreign exchange and precious & metals. We also cross-sell the full range of wholesale products and services offered by the Scotiabank Group.

            +

            -

            Job duties/Accountabilities:

            -
              -
            • Lead the execution of the territory deployment strategy with inputs to optimization
            • -
            • Manage data transformation to supply campaign leads through SalesForce CRM tool
            • -
            • Work within various database environments such as Teradata to create and deliver data ensuring accuracy and territory quality
            • -
            • Investigate and work towards the resolution process for data issues
            • -
            • Analyze and evaluate territory and channel performance
            • -
            • Effectively manage results analysis and channel reporting to various stakeholders
            • -
            • Participate in the development and implementation of new processes and initiatives to drive activity and incremental channel growth
            • -
            • Ensure integrity, compliance and the optimal performance of current sales lead activity guidelines
            • -
            • Work collaboratively in a team environment and build on relationships with cross-functional groups such as BI, marketing, regional services and customer care
            • +

              Is this role right for you? In this role, you will:

              +
              • Understand and Contribute to the Business Line Strategy by delivering actionable recommendations based on profitability analysis, market trends, policy analysis and end-to-end process enhancements
              • Support day to day strategic pricing group activities
              • Interact with Sales, Business Support Centre, Technology teams and Product Labs on the development and enhancements of different pricing & billing systems minimize revenue leakage and enhance functionalities
              • Data Analytics: Conduct analysis on portfolio composition, pricing structures, vintages of expired agreements, discount levels, client volumes, renewals, depth of relationship, etc. Use data analytics to provide pricing recommendations and/or policy changes
              • Recommend solutions to improve customer experience, product pricing, service and/or process
              • Conduct impact assessments (on customers, operations and risk) when changes affecting processes are proposed
              • Assist with new projects and provide input into the review of business requirements, including supporting technology initiatives
              • Maintain a culture of risk management and control supported by effective processes and ensure all systems and processes are in compliance and meet all regulatory requirements
              -

              -

              Critical Qualifications

              -
                -
              • Strong data analytical & problem solving skills and demonstrated ability to be highly creative in formulating solutions.
              • -
              • Proficiency in MS suite, specifically MS Excel
              • -
              • Proficiency is programming languages including SAS, SQL, Tableau, Teradata etc.
              • -
              • Ability to work in a fast paced, dynamic environment and manage multiple projects through effective prioritization.
              • -
              • Solid business analytics and financial acumen
              • -
              • Excellent communication skills
              • +

                +

                +

                Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                +
                • You are currently enrolled in post-secondary education.
                • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                • You enjoy being involved in extracurricular activities such as conferences, clubs, competitions, and/or hackathons.
                • Enthusiastic self-starter with ability to prioritize and multi-task, working both independently and within a team environment
                • High degree of strategic thinking and comfort in doing financial analysis and business casing opportunities
                • Analytical thinking and an ability to deliver actionable recommendations from analysis in a timely manner
                • Proven ability to assess competitive landscape for produce and make recommendations to close any competitive gaps
                • Strong communication and presentation skills
                • Strong collaborator who engages colleagues and business partners on developing and executing on strategic recommendations
                • Flexibility to adapt and manage within a dynamic business environment
                • Analytic skills, statistical modeling and experience with Python, Access, SQL and VBA is an asset.

                -

                Preferred Qualifications

                -
                  -
                • A University Degree focusing on Computer Science, Business, Mathematics or Engineering
                • -
                • SalesForce Admin experience
                • -
                • GIS Visualization skills - dashboard creation and GIS/geospatial analysis
                • -
                • Experience in territory planning and workforce management
                • +

                  +

                  What’s in it for you?

                  +
                  • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                  • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                  • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                  • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.

                  -

                  #EmployeeReferralProgram

                  -

                  -

                  Adequate knowledge of French is required for positions in Quebec.

                  -

                  -

                  Additional Information:

                  -

                  Position Type: Management
                  Job Status:
                  Regular - Full Time
                  Job Location:
                  Canada : Ontario : Don Mills
                  Flexible work profile :
                  Mobile
                  Application Deadline: 11/11/2022

                  -

                  -

                  All team members are expected to reside in Canada and within a reasonable commuting distance from their work location to ensure that they are able to come to the office as required, whether the visit is planned or unplanned.

                  -

                  -

                  Please apply directly online to be considered for this role. Applications through email will not be accepted.

                  -

                  -

                  At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                  -

                  -

                  Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                  -

                  -

                  Created: Canada, QC, Montreal

                  -

                  #Talent #Indeed #Tech

                  -

                  Bell, one of Canada's Top 100 Employers.

                  ",,https://jobs.bell.ca/ca/en/job/BECACA405153EXTERNALENCA/Data-Analyst-Business-Intelligence?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2022-11-12T17:26:04.079Z,False,0,6,48,https://talenthub.vectorinstitute.ai/jobs/160264940-data-analyst-business-intelligence-at-bell-canada,BECACA405153EXTERNALENCA,expired,2022-10-26T17:20:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Associate,Masters Degree,New Posting, -6d8e9957-350a-4049-bed4-f3447f1b7665,159575270,EY,Senior (Data Management),on_site,Toronto,2022-10-24T17:30:02.929Z,"

                  Senior (Data Management)

                  -
                  Location: Toronto
                  -
                  Other locations: Primary Location Only
                  -
                  Date: Nov 1, 2022
                  -

                  At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

                  +

                  +

                  How do I apply?

                  +

                  For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                  +

                  +
                  1. Complete your PLUM Profile here and save as a screenshot.
                  2. +Complete a short one-way video interview here. +
                  3. +Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile. +
                  4. +
                  +

                  +

                  *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                  -

                  At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

                  -

                  -

                  The opportunity

                  -


                  Joining EY’s DnA team in this exciting period of growth will offer a huge variety of opportunity to make a tangible impact to our clients businesses and to your career. We provide constant room for growth through client engagements and personal development. Our practitioners develop and lead innovative data techniques and methods, supporting both business and technology leaders. This role provides the unique opportunity to build a professional network, tackle complex data issues, and drive cutting edge approaches across industry leading clients and domains. The experiences you gain here will be more valuable than anywhere else.

                  -

                  -

                  We are currently seeking management consultants with experience in the various data management related capabilities - including data governance, data operating model, data strategy, etc.- to lead and implement leading-edge data management and strategy projects.

                  Your Key Responsibilities

                  -
                  • Help our clients establish Data Management and Governance programs and drive data ownership into the client businesses
                  • Perform Data Management and Governance reviews, Data Maturity assessments
                  • Assist with implementation of the Data Management and Governance programs within the client organization
                  • Conduct current state assessments, evaluate assessment results, and present findings in a logical and easy-to-understand manner
                  • Assist with data architecture reviews and advise on data solutions that pertain to Data Governance programs (Data Catalogue, Data Quality, Business Glossary, data tools/software, metadata management, master data management, Lineage)
                  • -
                  -

                  -

                  To qualify for the role, you must have

                  -
                  • 2+ years of experience in and understanding of concepts and frameworks pertaining to Data Management- Data Governance, Data Policy, Data Lineage, Data Models, Data Quality, Data Risk and Control Frameworks, Data Literacy, Reference Data Management, Metadata Management
                  • Experience working within Financial Services Industry in a data management related role
                  • Experience within data management and governance. Possess knowledge of frameworks, standards and regulatory requirements related to Data Governance, Data Management - BCBS239, CCAR, etc.
                  • Worked with or have an understating of EDM Council DCAM assessment or an alternative data maturity assessment; be certified in EDM Council DCAM Assessment
                  • Experience with data management tools such as Collibra, Informatica, Ataccama, etc.
                  • Advanced problem-solving skills, superior communication (verbal and written)
                  • Experience working independently, efficiently, and effectively under tight timelines and delivering results by critical deadlines.
                  • Experience with client-facing activities requirements gathering, presentation creation, and ability to prepare client ready deliverables
                  • Experience of Agile and traditional SDLC delivery methodologies Strong analytical and problem-solving skills
                  • -
                  -

                  -

                  Ideally, you’ll also have

                  -
                  • Prior consulting experience preferred
                  • Project management and process development expertise in client serving rolesStrong organizational and time-management skills
                  • -
                  -

                  -

                  Skills and attributes for success

                  -
                  • Be self-motivated and passionate about data management and governance
                  • Ability to meet deadlines and manage project delivery
                  • Superior communication and interpersonal skills
                  • -
                  -

                  -

                  What we offer

                  -

                  -

                  At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

                  -

                  We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

                  -
                  • Support and coaching from some of the most engaging colleagues in the industry
                  • Learning opportunities to develop new skills and progress your career
                  • The freedom and flexibility to handle your role in a way that’s right for you
                  • -
                  -

                  -

                  Diversity and Inclusion at EY

                  -

                  -

                  Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. From our actions to combat systemic racism and our advocacy for the LGBT+ community to our innovative Neurodiversity Centre of Excellence and Accessibility initiatives, we welcome and embrace the diverse experiences, abilities, backgrounds and perspectives that make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                  -

                  EY Way of Work and your health and safety

                  -

                  -

                  EY Way of Work recognizes flexibility in the way we collaborate, innovate and deliver with the ability to work in-person and remotely. To support a healthy and safe in-person working environment, EY has implemented various layers of health and safety controls while working in the office or at client or other locations. A critical component of EY’s workplace safety program includes our COVID-19 vaccination policy which requires all personnel to be fully vaccinated against COVID-19 unless an accommodation based on a reason protected by human rights legislation is provided.

                  -

                  -

                  EY | Building a better working world

                  -

                  -

                  EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

                  -

                  -

                  Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

                  -

                  Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

                  ",,https://careers.ey.com/ey/job/Toronto-Senior-%28Data-Management%29-ON-M5H-0B3/746746801/,feed-importer@jobboard.io,,,,2022-11-14T20:29:00.000Z,False,0,1,15,https://talenthub.vectorinstitute.ai/jobs/159575270-senior-data-management-at-ey,https://careers.ey.com/ey/job/Toronto-Senior-%28Data-Management%29-ON-M5H-0B3/746746801/,expired,2022-10-24T17:30:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Masters Degree,New Posting, -376ec52a-3e3d-436f-8770-ed4baac00191,146275151,Loblaw Companies Ltd.,Data Engineer,on_site,"Ontario, Canada",2022-08-25T12:35:04.622Z,"
                  -

                  Referred applicants should not apply directly to this role.

                  -

                  All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                  -

                  -

                  -

                  Location:

                  500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

                  -

                  -

                  When you hire great people, great things can happen.

                  -

                  PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

                  -

                  -

                  Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

                  -

                  -

                  Our mission is to build the PC Bank Payment & Rewards Data Platform, which would serve as an integrated data platform to perform complex big-data processing, advanced analytics, and machine learning. The Data Engineer position is a fantastic opportunity to join our expanding PC Bank Payment & Rewards Engineering team.

                  -

                  -

                  The Data Engineering team is looking for passionate engineers working in a fast-paced organization using Agile/Scrum methodology to deliver excellent solutions for our demanding customer service, operations requirements, and resolving the engineering challenges of building robust and scalable data systems aligned to enterprise data strategy.

                  -

                  -

                  You will participate in defining technical solutions, code architectures, and will be responsible for developing and delivering production-ready code. The ideal candidate will be someone who genuinely enjoys problem-solving and writing high-quality code to build robust, highly distributed, and scalable data processing systems and pipelines. Some of the challenges the candidate would tackle are:

                  -
                    -
                  • Design, implement and operate PC Bank’s core datasets that have extreme requirements on scalability, reliability, maintainability, flexibility, auditability, and quality
                  • -
                  • Design large scale streaming and batch data pipelines (billions of data points) that involve analyzing transactions over a long period without reprocessing vast amounts of data
                  • -
                  • Perform data profiling and source to target mapping analysis for the best design
                  • -
                  • -Collaborate with business solution analysts, other engineers, solution architects, and other team members to innovate and evolve our datasets to data products to create a single coherent platform with sources of truth that serve a plethora of stakeholders within PC Bank
                  • -
                  -

                  What you’ll do:

                  -
                    -
                  • Apply your expertise in data and software engineering to design and implement data products that meet extreme requirements on scalability, reliability, maintainability, flexibility, auditability, and quality
                  • -
                  • Be T-Shaped. Your primary area is data engineering, but you are comfortable working in a secondary area of expertise such as data presentation/visualization, backend engineering, or data modeling (SQL, NoSQL, Graph & Time-series)
                  • -
                  • Work closely with cross-functional teams of data, backend and frontend engineers, product owners, technical product owners, and technical support personnel
                  • -
                  • Gaining technical expertise in building a data platform at scale to solve business, product, and technical use cases
                  • -
                  • Getting hands-on experience with technologies such as Elasticsearch, Apache Airflow, Apache Kafka, Apache Beam, Apache Spark, Hive, HDFS, Kubernetes (Openshift)
                  • -
                  • -Getting hands-on experience with Google Cloud Platform and technologies such as BigQuery, Cloud Composer, Pub/Sub, Dataflow, Dataproc, GCS, Looker, and other cloud-native offerings in GCP
                  • -
                  -

                  Who you are:

                  -
                    -
                  • An undergraduate or Master’s degree in Computer Science or equivalent engineering experience
                  • -
                  • 2+ years of professional software engineering and programming experience (Java, Python) with a focus on designing and developing complex data-intensive applications
                  • -
                  • Familiarity with architecture and design (patterns, reliability, scalability, quality) of complex systems
                  • -
                  • Advanced coding skills and practices (concurrency, distributed systems, functional principles, performance optimization)
                  • -
                  • Professional experience working in an agile environment
                  • -
                  • Strong analytical and problem-solving ability
                  • -
                  • Strong written and verbal communication skills
                  • -
                  • Experience in operating and maintaining production-grade software
                  • -
                  • -Comfortable with tackling very loosely defined problems and thrive when working on a team which has autonomy in their day to day decisions
                  • -
                  -

                  Preferred Skills:

                  -
                    -
                  • Knowledge of software and data engineering best practices
                  • -
                  • Experience with large scale distributed data technologies and tools
                  • -
                  • Experience pulling data from a variety of data source types including Mainframe (EBCDIC), Fixed Length and delimited files, databases (SQL, NoSQL, Time-series)
                  • -
                  • Strong coding skills for analytics and data engineering (Java, Python, and Scala)
                  • -
                  • Experience performing analysis with large datasets in a cloud-based environment, preferably with an understanding of Google’s Cloud Platform (GCP)
                  • -
                  • Understands how to translate business requirements to technical architectures and designs
                  • -
                  • Comfortable communicating with various stakeholders (technical and non-technical)
                  • -
                  -

                  -

                  Nice to have Skills (though not required):

                  -
                    -
                  • Exposure to data-science or machine-learning packages (Pandas, Pytorch, Keras, TensorFlow, etc...)
                  • -
                  • Contributions to open-source software (code, docs, or mailing list posts)
                  • -
                  • GCP Professional Data Engineer Certification
                  • -
                  • Confluent Certified Developer for Kafka
                  • -
                  -

                  -

                  COVID-19 is a serious condition and has had a devastating impact on Canadians and others across the globe. As a leading Health and Wellness provider for millions of Canadians, our goal is to help all Canadians ""Live Life Well"". ​

                  -

                  In support of this goal, we have adopted a COVID-19 Vaccination Policy to protect the health and well-being of our employees as we continue our phased approach of office reopening. Employees will be required either to be fully vaccinated or undergo regular COVID-19 Rapid Antigen Screening in order to access the workplace.

                  -

                  -

                  -

                  Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

                  -

                  +

                  Location(s): Canada : Ontario : Toronto

                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Global-Banking-and-Markets-Global-Business-PaymentsCo-Op-Summer-2023-ON/566270417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-18T17:27:06.322Z,False,0,2,16,https://talenthub.vectorinstitute.ai/jobs/181084205-global-banking-and-markets-global-business-payments-co-op-summer-2023-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Global-Banking-and-Markets-Global-Business-PaymentsCo-Op-Summer-2023-ON/566270417/,expired,2022-12-26T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +67f51730-fda9-404d-b48d-441155464b87,187137033,RBC,"2023 Summer Student, Global Risk Analytics",on_site,"Toronto, ON, Canada",2023-01-15T17:16:01.769Z,"
            +

            Come Work with Us!

            At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

            Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

            +

            Job Title

            2023 Summer Student, Global Risk Analytics

            -

            Number of Openings:

            0

            +

            Job Description

            +

            What is the opportunity?

            +

            Global Risk Analytics (GRA) is the center of expertise for models used in risk measurement of market and counterparty credit risk for trading book. Given the increasing importance of assessing the financial impacts of climate change to financial institutions, GRA is also building expertise in climate risk analytics to support RBC’s various climate risk stress testing and scenario analysis mandates (e.g., CCAR in US, ICAAP in UK).

            -

            PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

            +

            In particular, GRA has model development ownership for several regional climate risk scenario analysis models, covering both transition risk (posed to clients in transition to low-carbon economy) and physical risk (posed by acute weather events) for different asset classes (e.g., corporate bond, municipal bonds, real estate, and wholesale loans). The team is also developing machine-learning models to assess the TCFD (Task Force on Climate-Related Financial Disclosures) and sustainability reports by clients in different industry sectors.

            -

            In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

            +

            Climate risk analytics is an emerging field. Institutions around the world (e.g., regulators, banks, vendors, etc.) are grappling with the challenges in how to enhance the data, scenario design, and methodology. At this stage, GRA is currently developing a unified platform to onboard different “climate risk + machine learning” modules, and potentially utilizing open-source data (if deemed appropriate) for research purposes.

            +

            GRA is seeking an individual who is interested in applying data analytics and programming skills to empower our climate risk analytics capability. The intern student will be involved in researching open-source data platforms for climate risk, and developing Python-based tools for climate risk related analytics and machine learning applications. The candidate will learn data analytics and machine learning with applications in climate risk.

            -

            Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

            -
            ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Data-Engineer_R2000234469,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2022-09-24T13:45:00.000Z,False,0,7,51,https://talenthub.vectorinstitute.ai/jobs/146275151-data-engineer-at-loblaw-companies-ltd,,expired,2022-08-25T12:35:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Associate,Masters Degree,New Posting, -5d30c099-3294-4170-946c-7e89fdb357d4,156325553,Unity Health Toronto,Project Coordinator II,on_site,"Toronto, ON, Canada",2022-10-12T21:04:27.402Z,"

            Unity Health Toronto, comprised of Providence Healthcare, St. Joseph’s Health Centre and St. Michael’s Hospital, works to advance the health of everyone in our urban communities and beyond. Our health network serves patients, residents and clients across the full spectrum of care, spanning primary care, secondary community care, tertiary and quaternary care services to post-acute through rehabilitation, palliative care and long-term care, while investing in world-class research and education. Join our team in our mission to continue to put patients and families at the centre of everything we do, in the role of Project Coordinator II - Data Science and Advanced Analytics.

            -

            The Data Science and Advanced Analytics (DSAA) team at Unity Health Toronto houses a team of Data Scientists devoted to applying data science to advance patient care and health system efficiency at Unity Health Toronto.

            -

            The DSAA team at Unity Health Toronto is currently seeking a Project Coordinator II (Research Coordinator II) to support the Program Manager with project and organizational administration. Tasks will include ongoing coordination of activities pertaining to DSAA projects, including task and timeline management, project documentation, research ethics applications and literature searches. Other tasks may include coordination of program operations in the areas of research contracts, human resources, finance and procurement, as well as assisting Investigators and the Program Managers with the initiation of new projects and presenting project related information including written project reports where necessary.

            -

            The ideal candidate for this position is highly motivated, organized, attentive to detail, and demonstrates excellent communication and problem-solving skills. The Project Coordinator II will report to the Program Manager and Program Directors.

            -

            Duties & Responsibilities:

            -
              -
            • Setting project objectives and creating and maintaining project workplans
            • -
            • Coordinating project activities and preparing any required project documentation
            • -
            • Leading the implementation of project management protocols for 5+ ongoing DSAA projects
            • -
            • Interacting with various departments such as pharmacy, laboratories, medical records, etc.
            • -
            • Presenting research related information, including written study reports when necessary and moderate project working group meetings and internal project touch bases
            • -
            • Monitoring and tracking project timelines and tasks
            • -
            • Maintaining and updating project related tracking documents
            • -
            • Maintaining and organizing electronic files
            • -
            • Preparing REB documents and applications, as well as research contract forms
            • -
            • Supporting the Director of Advanced Analytics with the implementation, coordination and communication of operational initiatives to improve future capacity and efficiency of the Advanced Analytics team
            • -
            • Preparing research contract forms to initiate agreements and preparing and submitting any associated invoices for payment related to the agreement
            • -
            • Liaising with vendors to ensure the timely payment of software license renewals
            • -
            • Preparing forms required for procurement of equipment and services
            • -
            • Providing the VP of DSAA with the balances of difference DSAA activities
            • -
            • Preparing job descriptions and coordinating the recruitment process of new students and staff
            • -
            -

            Qualifications:

            +

            What will you do?

              -
            • Minimum Bachelor’s degree from an accredited university required, Masters Degree preferred
            • -
            • 2 years of experience with project management and administrative tasks required
            • -
            • Excellent attention to detail and proven ability to learn new skills
            • -
            • Excellent interpersonal skills and experience liaising with clinicians and executive leadership
            • -
            • Familiarity with data science and medical terminology preferred
            • -
            • Excellent communication (verbal/written) and interpersonal skills are necessary
            • -
            • Ability to work independently and as part of a team
            • -
            • Excellent organizational skills to manage multiple tasks in a timely manner and flexibility to adapt to changing workload
            • -
            • Ability to diagnosis problems and creatively solve issues
            • -
            • Professionalism and self-motivation
            • +
            • Assist to research open-source data and analytics platforms, such as OS-Climate, Oasis, Climate Analytics CIE, WRI Aqueduct, World Bank CCKP.
            • +
            • Identify use cases of the open-source platforms.
            • +
            • Assist to design and implement Python-based tools for climate risk related applications.
            • +
            • Make presentation to senior people in risk
            -

            As a condition of employment, all external hires will be required to submit proof of COVID-19 vaccination or documentation unless a valid accommodation under the Ontario Human Rights Code exists. Please note, if you are extended an offer of employment, you will be required to provide proof of vaccination in Ontario QR Code format. All internal candidates must be in compliance with Unity Health Toronto’s COVID-19 Vaccination Policy.

            -

            ",,https://unityhealth.to/careers-at-unity-health-toronto/?JobNumber=907711,michaelia.banning@unityhealth.to,https://unityhealth.to/,,,2022-11-03T14:00:00.000Z,False,0,10,72,https://talenthub.vectorinstitute.ai/jobs/156325553-project-coordinator-ii-at-unity-health-toronto,,expired,2022-10-12T21:04:00.000Z,website-existing-job-slot,Scaling (20-499),Application Click Through,Health,Associate,Bachelors Degree,New Posting, -02e77e5f-4f15-4bbc-b2ce-585ede482f98,155360104,Loblaw Companies Ltd.,Senior Data Engineer,on_site,"Ontario, Canada",2022-10-06T12:35:06.407Z,"
            -

            Referred applicants should not apply directly to this role.

            -

            All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

            -

            -

            Location:

            500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

            -

            When you hire great people, great things can happen.

            -

            PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

            -

            -

            Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

            -

            -

            Our mission is to build the PC Bank Payment & Rewards Data Platform, which would serve as an integrated data platform to perform complex big-data processing, advanced analytics, and machine learning. The Data Engineer position is a fantastic opportunity to join our expanding PC Bank Payment & Rewards Engineering team.

            -

            -

            The Senior Data Engineering team is looking for passionate engineers working in a fast-paced organization using Agile/Scrum methodology to deliver excellent solutions for our demanding customer service, operations requirements, and resolving the engineering challenges of building robust and scalable data systems aligned to enterprise data strategy.

            -

            -

            You will participate in defining technical solutions, code architectures, and will be responsible for developing and delivering production-ready code. The ideal candidate will be someone who genuinely enjoys problem-solving and writing high-quality code to build robust, highly distributed, and scalable data processing systems and pipelines. Some of the challenges the candidate would solve are:

            -
              -
            • Design, implement and operate PC Bank’s core datasets that have utmost requirements on scalability, reliability, maintainability, flexibility, auditability, and quality
            • -
            • Design large scale streaming and batch data pipelines (billions of data points) that involve analyzing transactions over a long period without reprocessing vast amounts of data
            • -
            • Perform data profiling and source to target mapping analysis for the best design
            • -
            • Collaborate with business solution analysts, other engineers, solution architects, and other team members to innovate and evolve our datasets to data products to create a single coherent platform with sources of truth that serve a plethora of team members within PC Bank
            • -
            -

            -

            What you’ll do

            -
              -
            • Apply your expertise in data and software engineering to design and implement data products that meet utmost requirements on scalability, reliability, maintainability, flexibility, auditability, and quality
            • -
            • Be T-Shaped. Your primary area is data engineering, but you are comfortable working in a secondary area of expertise such as data presentation/visualization, backend engineering, or data modeling (SQL, NoSQL, Graph & Time-series)
            • -
            • Work closely with multi-functional teams of data, backend and frontend engineers, product owners, technical product owners, and technical support personnel
            • -
            • Gaining technical expertise in building a data platform at scale to solve business, product, and technical use cases
            • -
            • Getting hands-on experience with technologies such as Elasticsearch, Apache Airflow, Apache Kafka, Apache Beam, Apache Spark, Hive, HDFS, Kubernetes (Openshift)
            • -
            • Getting hands-on experience with Google Cloud Platform and technologies such as BigQuery, Cloud Composer, Pub/Sub, Dataflow, Dataproc, GCS, Looker, and other cloud-native offerings in GCP
            • -
            -

            -

            Who you are

            -
              -
            • An undergraduate or Master’s degree in Computer Science or equivalent engineering experience
            • -
            • 2+ years of professional software engineering and programming experience (Java, Python) with a focus on designing and developing sophisticated data-intensive applications
            • -
            • Familiarity with architecture and design (patterns, reliability, scalability, quality) of complex systems
            • -
            • Advanced coding skills and practices (concurrency, distributed systems, functional principles, performance optimization)
            • -
            • Professional experience working in an agile environment
            • -
            • Strong analytical and problem-solving ability
            • -
            • Strong written and verbal communication skills
            • -
            • Experience in operating and maintaining production-grade software
            • -
            • Comfortable with solving very loosely defined problems and thrive when working on a team which has autonomy in their day to day decisions
            • -
            -

            -

            Preferred Skills

            +

            What do you need to succeed?

            +

            Must-have

              -
            • Knowledge of software and data engineering standard methodologies
            • -
            • Experience with large scale distributed data technologies and tools
            • -
            • Experience pulling data from a variety of data source types including Mainframe (EBCDIC), Fixed Length and delimited files, databases (SQL, NoSQL, Time-series)
            • -
            • Strong coding skills for analytics and data engineering (Java, Python, and Scala)
            • -
            • Experience performing analysis with large datasets in a cloud-based environment, preferably with an understanding of Google’s Cloud Platform (GCP)
            • -
            • Understands how to translate business requirements to technical architectures and designs
            • -
            • Comfortable communicating with various partners (technical and non-technical)
            • +
            • Strong programming experience in Python and SQL.
            • +
            • Knowledge about machine learning, data analytics, and data visualization
            • +
            • Ability to communicate technical matters in written and oral forms
            • +
            • Team players to collaborate and innovate

            -

            Nice to have Skills (though not required)

            +

            Nice-to-have

              -
            • Exposure to data-science or machine-learning packages (Pandas, Pytorch, Keras, TensorFlow, etc...)
            • -
            • Contributions to open-source software (code, docs, or mailing list posts)
            • -
            • GCP Professional Data Engineer Certification
            • -
            • Confluent Certified Developer for Kafka
            • +
            • Interest in learning about emerging data and techniques to assess climate risk impact.
            • +
            • Understand of the big picture regarding how risk function works in banks
            • +
            • Knowledge of financial products in trading book and banking book.

            -

            Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

            -

            -

            -

            Number of Openings:

            1

            -

            PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

            -

            -

            In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

            -

            -

            -

            Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

            -
            ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Senior-Data-Engineer_R2000270518,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2022-10-21T17:18:00.000Z,False,0,1,15,https://talenthub.vectorinstitute.ai/jobs/155360104-senior-data-engineer-at-loblaw-companies-ltd,,expired,2022-10-06T12:35:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Masters Degree,New Posting, -844e72c0-709a-47c2-ab70-f8543c55774f,165148996,Scotiabank,Data Engineer - 8 month contract,on_site,Canada : Ontario : Toronto,2022-11-10T17:22:01.907Z,"

            -

            -

            -

            -

            Requisition ID: 166829

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            -

            -

            Purpose:

            -

            -

            The Customer Insights, Data, and Analytics organization at Scotiabank is focused on building high-value solutions across the bank. Our organization consists of accomplished professionals who blend expertise in computer science, data, machine learning, and banking to deliver innovative projects that drive the business. A key part of success for the group is having scalable, fast, and continuously evolving data processes, and this is the responsibility of the Data Office Data Engineering team. As an integral part of the team, the Data Engineer will be responsible for all technical aspects of the data pipelines that power advanced and descriptive analytics work.

            -

            -

            We have a dynamic work environment that will provide you with exposure to leaders in data & analytics, the opportunity to continuously learn, and support to be innovative.

            -

            -


            ACCOUNTABILITIES:

            -


            • Work with business teams across the organization (Canadian Banking, Intl. Banking, Treasury, GBM) to understand their data-driven goals
            • Partner with advanced analytics teams to build powerful data assets and processes
            • Be the subject matter expert on data driven processes, visualization workflows, and tools with which to analyze data
            • Build automated data management and data quality capabilities into projects
            • Build re-usable components to scale development across the organization, collaborating with other technical teams to streamline high-value data to the Analytics platforms
            • Build re-usable managed datasets for consumption by both revenue generating analytics and operational corporate functions (e.g. finance, risk, etc.)
            • Experiment & learn!

            -

            -


            QUALIFICATIONS:

            -


            • Bachelor’s degree in Computer Science or Engineering, or related field or relevant experience
            • Experience with visualization tools: Power BI
            • Strong data analysis skills
            • Strong programming skills in Python, Scala, and /or Java. Experience with Spark is preferred
            • Experience working in the cloud environment is an asset
            • Experience in finance is an asset
            • Comfortable working in database environments. Experience with PostgreSQL, HDFS/Hive, BigQuery an asset
            • Exposure to Kubernetes, Airflow, Jenkins is an asset
            • Familiarity with agile tooling to efficiently build as a team: git, Jira, Confluence, etc.
            • Familiarity with data management capabilities (data registration, data quality, etc.) and ability to learn advanced data management toolsets
            • High aptitude for diving in and picking up new technologies as required
            • Eligible to work in Canada

            -

            -

            -

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Data-Engineer-8-month-contract-ON-M5C2V9/565042117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-11-17T15:06:00.000Z,False,0,7,30,https://talenthub.vectorinstitute.ai/jobs/165148996-data-engineer-8-month-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Engineer-8-month-contract-ON-M5C2V9/565042117/,expired,2022-11-10T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -4e03f895-0b6d-4696-94fb-10b52f8bee83,156497537,Vector Institute,"Project Manager · Toronto, Ontario",on_site,"Ontario, Canada",2022-10-13T17:26:07.476Z,"
            -

            POSITION SUMMARY

            -

            -

            Reporting to the Director Applied AI Projects, Industry Innovation, the Project Manager will act as an interface between external industry sponsors and internal Vector research activities and ensure the coordination and delivery of Vector industry projects that meet the direct needs of industry sponsors ranging from large enterprises to small startups.

            -

            -

            This role is responsible for the ideation and articulation of new projects, as well as all project management functions including monitoring and reporting on project traction and progress, coordinating the development discussion, and approval of corrective action and/or contingency plans.

            -

            -

            KEY RESPONSIBILITIES

            +

            What’s in it for you?

            +

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

              -
            • Engage with industry sponsors to propose AI projects based on specific technical themes, recruit and coordinate project participants, and develop project plans and other required project documentation;
            • -
            • Work closely with project participants to define project milestones, success measures, risks and mitigation measures;
            • -
            • Develop use cases and pilot projects in collaboration with industry sponsors and facilitate the development of new algorithms and methodologies;
            • -
            • Capture project success stories that can be used for public relations;
            • -
            • Prepare reporting as required for industry sponsors, Vector’s senior staff & its Board of Directors;
            • -
            • Provide support and insight on industry sponsors to the Industry Innovation team; and,
            • -
            • Other related duties as assigned.
            • +
            • Leaders who support your development through coaching and managing opportunities
            • +
            • Ability to make a difference and lasting impact
            • +
            • Work in a dynamic, collaborative, progressive, and high-performing team
            • +
            • Opportunities to do challenging work and make a difference
            • +
            • Opportunities to building close relationships

            -

            KEY SUCCESS MEASURES

            +

            Job Summary

            Apply data analytics and programming skills to empower our climate risk analytics capability. The intern student will be involved in researching open-source data platforms for climate risk and developing Python-based tools for climate risk related analytics and machine learning applications.

            Address:

            TORONTO, Ontario, Canada

            City:

            CAN-ON-TORONTO

            Country:

            Canada

            Work hours/week:

            37.5

            Employment Type:

            Full time

            Platform:

            Group Risk Management

            Job Type:

            Student/Coop (Fixed Term)

            Pay Type:

            Salaried

            Posted Date:

            2022-12-12-08:00

            Application Deadline:

            2023-01-15-08:00
            +

            Inclusion and Equal Opportunity Employment

            +

            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
            ​​​​​​​
            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

            +
            +

            Join our Talent Community

            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

            +
            ",,https://jobs.rbc.com/ca/en/job/R-0000041240/2023-Summer-Student-Global-Risk-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-01-18T17:21:03.876Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/187137033-2023-summer-student-global-risk-analytics-at-rbc,,expired,2023-01-15T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +17c943e5-868e-45eb-b8e2-e57a83a6506a,179957841,BMO Financial Group,"Manager, North American Customer Contact Centre Analytics",on_site,"Ontario, Canada",2022-12-22T17:12:02.364Z,"
            +

            Address:

            55 Bloor Street West

            +

            +

            Job Family Group:

            Data Analytics & Reporting

            +

            +

            +

            +

            Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes for the North American Customer Contact Centre (NACCC). Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

              -
            • Vector achieves its goals for its industry sponsor relationships.
            • -
            • Industry sponsorship growth and retention goals are met.
            • -
            • Industry sponsor feedback via informal and formal feedback mechanisms validates that Vector is providing appropriate services and support through effective working relationships.
            • +
            • Acts as a trusted advisor to assigned business/group.
            • +
            • Leads the design, development, and implementation of analytic solutions.
            • +
            • Identifies emerging issues and trends to inform decision-making.
            • +
            • Recommends and implements solutions based on analysis of issues and implications for the business
            • +
            • Ensures alignment between stakeholders about business needs and data needs.
            • +
            • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
            • +
            • Designs, develops, and implements innovative analytical solutions.
            • +
            • Designs and produces regular and ad-hoc reports, and dashboards.
            • +
            • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
            • +
            • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
            • +
            • Cleanses, manipulates, and transforms data through programming / scripting for model training and validation.
            • +
            • Automates validation tests to improve quality and efficiency of the validation process.
            • +
            • Validates and tests models used in analytics and reporting to assess/address performance and compliance.
            • +
            • Conducts various pre-implementation and post-implementation analyses to estimate/measure business impact caused by model adoption (e.g., revenue increase, cost reduction, corporate brand image).
            • +
            • Promotes reporting automation, self-serve analytics consumption, and the culture of analytics-driven decision making.
            • +
            • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
            • +
            • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
            • +
            • Designs, develops, and implements innovative analytical solutions.
            • +
            • Designs and produces regular and ad-hoc reports, and dashboards.
            • +
            • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
            • +
            • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
            • +
            • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
            • +
            • Analyzes data and information to provide subject-matter insights and recommendations.
            • +
            • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
            • +
            • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
            • +
            • Builds effective relationships with internal/external stakeholders.
            • +
            • Collaborates with internal and external stakeholders in order to deliver on business objectives.
            • +
            • Focus is primarily on NACCC; may have broader, enterprise-wide audience.
            • +
            • Provides specialized consulting, analytical and technical support.
            • +
            • Exercises judgment to identify, diagnose, and solve problems within given rules.
            • +
            • Works independently and regularly handles non-routine situations.
            • +
            • Broader work or accountabilities may be assigned as needed.

              Qualifications:

              +
            • +
            • Experience with both front and back end development tools (.NET, C#, CSS, HTML, JavaScript) required
            • +
            • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
            • +
            • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - In-depth.
            • +
            • Experience with Power BI Preferre
            • +
            • Deep knowledge and technical proficiency gained through extensive education and business experience.
            • +
            • Verbal & written communication skills - In-depth.
            • +
            • Collaboration & team skills - In-depth.
            • +
            • Analytical and problem solving skills - In-depth.
            • +
            • Influence skills - In-depth.
            • +
            • Data driven decision making - In-depth.
            +

            +

            +

            We’re here to help

            -

            PROFILE OF THE IDEAL CANDIDATE

            +

            At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

            -
              -
            • Holds, at minimum, a university degree in a business or technical field such as computer science, computer engineering or related field; PMP or PMI certification preferred.
            • -
            • Experience leading medium-large size projects for a period of two or more years, with consulting or financial industry background preferred.
            • -
            • Adept at building and effectively managing multidisciplinary project teams, prioritizing conflicting needs, managing limited resources, handling matters expeditiously, and following through on tasks to successful completion.
            • -
            • Possesses exceptional verbal and written English communication skills; effective in presenting to a diverse set of stakeholders from the business and technology ecosystem.
            • -
            • Brings a positive attitude and energy, integrity, a sense of humour, and outlook to a corporate culture, and are motivated by continuous learning and the desire to make a difference and a real contribution to AI.
            • -
            +

            As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

            -

            HOW TO APPLY

            +

            To find out more visit us at https://jobs.bmo.com/ca/en.

            -

            Please address applications (cover letter and resume) to Sameera Ali, Talent Acquisition Specialist, using the link provided. The deadline for submission is August 12, 2022.

            -


            At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are Indigenous, 2SLGBTQIA+, racialized persons/visible minorities, women, and people with disabilities.

            If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

            -
            ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=208&source=bamboohr&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2022-11-16T13:54:38.143Z,False,0,5,46,https://talenthub.vectorinstitute.ai/jobs/156497537-project-manager-toronto-ontario-at-vector-institute,,expired,2022-10-13T17:26:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Associate,Masters Degree,New Posting, -6764c232-a3f3-490f-8639-a2d10d625ec3,118634595,Bell Canada,"Senior Product Manager, Data Science and Analytics",on_site,"Don Mills, Ontario",2022-04-05T14:18:04.867Z,"

            Req Id: 353963

            -

            -

            At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

            -

            -

            If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team.

            -

            Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.

            -

            -

            About Us:

            -

            The Data Science Team within Customer Operations is at the forefront of innovation. Our goal is to leverage the power of Artificial Intelligence and Machine Learning to provide the best service for our customers while accelerating our product roadmaps. The work we do is critical in ensuring that Bell remains the best telecommunications provider in Canada. As the product team focused on customer loyalty, we manage ML products and features that better serve customers and keep them with Bell.

            -

            -

            Position Description:

            -

            Working in a dynamic, fast-paced environment, activities will include product management of one or more of our AI/ML product lines, which will include product lifecycle management, use case development, business adoption, competitor benchmarking and analysis, and business planning activities. The successful candidate will drive the product vision while ensuring a flawless customer experience. They will be a key interface between business facing and technical delivery teams, while maintaining concise updates for the executive team. This role requires leadership, maturity, strong analytical capabilities, solid business acumen and a deep-seated impulse to sweat the details of our products and projects – all to ensure amazing experiences for our customers.

            -

            -

            Responsibilities:

            -
              -
            • Collaborating with cross-functional teams & industry leading partners to build and launch new innovative products
            • -
            • Full lifecycle support of products including ideation, coordination, business adoption, performance monitoring and iteration
            • -
            • Pitching innovative solutions and recommendations in concise and compelling presentations to senior executives
            • -
            • Leading use case discovery with business partners and co-ordinating into a concise roadmap to be executed on with business and technical teams
            • -
            • Creating business cases for pursuing product initiatives; performing deep analysis to uncover obstacles and opportunities
            • -
            • Combining your creativity with sound data analysis to design the optimal experience
            • -
            • Influencing partner teams on the right direction to take and working closely with partners to ensure proper prioritization of activities as they relate back to business objectives
            • -
            • Maintaining visibility to new and emerging technologies and trends that may inform roadmaps
            • -
            • Contributing to a growing Agile team and being part of a program that emphasizes team building, collaboration and continuous improvement
            • -
            -

            -

            Qualifications:

            -
              -
            • Self-governing, action-oriented and demonstrated ability to deliver results
            • -
            • Strong problem solving abilities and able to develop an approach to decision making
            • -
            • Advanced capability to access, process, and analyze data
            • -
            • Strong ability to tell a story with data, simplifying complex concepts into easily consumable messaging
            • -
            • Excellent communication; clear and concise verbal and written communication style, able to effectively convey, influence and present at all levels
            • -
            • Highly organized and able to manage multiple priorities simultaneously with minimal direction
            • -
            • Ability to learn new technologies; comfortable with technical discussions
            • -
            • Flexible and resilient; able to adapt in a fast paced environment where priorities shift frequently
            • -
            • Team oriented and possessing excellent leadership
            • -
            • Product management experience considered an asset
            • -
            -

            -

            #talent
            #tech
            #indeed
            #LI-JW1
            #LI-Hybrid

            -

            -

            Bilingualism is an asset (English and French); adequate knowledge of French is required for positions in Quebec.

            -

            -

            Additional Information:

            -

            Position Type: Management
            Job Status:
            Regular - Full Time
            Job Location:
            Canada : Ontario : Don Mills
            Flexible work profile:
            Mobile
            Application Deadline: 04/17/2022

            -

            -

            Please apply directly online to be considered for this role. Applications through email will not be accepted.

            -

            -

            At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

            -

            -

            Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

            +

            BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

            +

            +

            Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

            +
            ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--North-American-Customer-Contact-Centre-Analytics_R220030484?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-01-18T17:17:03.625Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/179957841-manager-north-american-customer-contact-centre-analytics-at-bmo-financial-group,,expired,2022-12-22T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +a0d7f45a-1b0b-45fc-bdc2-86f89f5b2035,186275424,Scotiabank,"Senior Manager, Data Ethics Design & Delivery",on_site,Canada : Ontario : Toronto,2023-01-12T17:22:02.825Z,"

            -

            Created: Canada, ON, Toronto

            -

            Bell, one of Canada's Top 100 Employers.

            ",,https://jobs.bell.ca/ca/en/job/BECACA353963EXTERNALENCA/Senior-Product-Manager-Data-Science-and-Analytics?utm_source=VectorInstitute&utm_medium=phenom-feeds,info@bell.ca,,,,2022-04-18T14:23:00.000Z,False,0,0,21,https://talenthub.vectorinstitute.ai/jobs/118634595-senior-product-manager-data-science-and-analytics-at-bell-canada,BECACA353963EXTERNALENCA,expired,2022-04-05T14:18:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Senior Manager,Bachelors Degree,New Posting, -4aafc62a-e4aa-4e6e-a4f2-5a666dbfcd54,156496667,Scotiabank,Senior Data Engineer - CID&A,on_site,Canada : Ontario : Toronto,2022-10-13T17:17:19.098Z,"

            +

            Requisition ID: 169222

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            +

            Purpose

            +


            The CIDA team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through a cloud-first strategy, well governed data and innovative analytics to deliver impactful customer insights. The award-winning Data Ethics & Use team, an integral part of CIDA, is helping to drive this transformation by helping the organization embed data ethics into the cultural fabric. The key focus areas are the way data is used, shared, and accessed at an enterprise level.
            The Data Ethics & Use team is industry leading in the field of operationalizing the ethical use of data, including responsible AI. The aim is to provide transparent, robust, and ethical data practices across the enterprise to enhance the protection of our customers’ data, and the way we deliver business value. We are looking to build our delivery team with innovators, forward thinker, technically savvy agile leaders who will continue driving the advancement of data ethics.

            -

            Requisition ID: 164067

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            +


            The role of the Senior Manager, Design and Delivery, Data Ethics & Use will:

            +


            • Be the product owner for our Data Ethics & Use tools and technologies
            • Be viewed as a leader for data ethics technology by key partners, including our Business, Analytics, Enablement, Architecture, Technology, Information Security, Privacy, Data and AI Risk, Legal, teams, etc to name a few
            • Own the data ethics technical strategy and roadmap on an annual basis
            • Lead definition, development, planning, execution, and implementation of industry leading data ethics tools and processes
            • Enable the Bank’s adoption of the data ethics tools on a global scale (including International Banking)
            • Lead a high-performance team, with focus on coaching and development

            -

            Purpose:

            +


            Key Responsibilities:

            +


            • Identify industry best practices to contribute to the design of the data ethics function to maintain the industry leading position Scotiabank holds as it pertains to data ethics
            • Work closely with Governance and Operations Pillar and Education and Partnerships Pillar to create a comprehensive, holistic, sustainable and customer centric data ethics strategy, and the associated tools and processes that enable the delivery of that strategy
            • Design (or contribute to the design) of data ethics tools and processes and related automation, including other enterprise tools and processes supporting the data ethics mandate; designs must be cloud compatible/scalable
            • Liaise with Data Office, Enablement and Enterprise Technology teams to design, develop, and implement data ethics tools, including managing the delivery risk
            • Work with various stakeholders in a matrix organization
            • Manage the SCRUM process and Kanban board for the projects
            • Create project plans, maintain JIRA board and Confluence, as needed
            • Create acceptance criteria for features being released and perform UAT testing to ensure acceptance criteria are met
            • Ensure timely delivery and successful adoption of data ethics tools and processes
            • Work with the Education and Partnership team to design and deploy user interfaces to support successful delivery of automation and education-based tooling
            • Design and deploy an analytics suite to support throughput optimization of data ethics processes by identifying and tracking slippage and anomalies in an automated fashion, working with the Governance and Operations team to incorporate requirements
            • Review, address and incorporate user feedback into our tools and processes, as required
            • Work with the Governance and Operations team to design solutions to mitigate pain points in operational throughput
            • Create and update procedural artifacts to support the rollout and operationalization of data ethics tools and processes (Governance and Operations has accountability over the process)
            • Provides advice, counsel, and process enhancements for Data & Analytics with respect to tools and procedures that incorporate the Data Ethics tools, for example, within Universal Catalogue
            • Ensure consistency and alignment on best practices across the organization.
            • Manage the enterprise data sensitivity dictionary and partner with internal stakeholders to ensure proper usage and timely updates
            • Work closely with representatives across the bank to ensure all activities are conducted in compliance with internal policies & procedures and emerging governing regulations
            • Develop strong working relationships with partners across the organization, to ensure consistency and alignment on best practices
            • Review business stakeholders’ implementation of data ethics framework for quality assurance and compliance
            • Track and report on process performance and adherence, identifying areas of improvement and recommending practical and innovative solutions
            • Participate in planning and retrospective sessions, attend stand-ups, etc. - we work in an agile environment
            • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
            • Lead a high-performance team-this is a people manager role where development and coaching is a focus
            • Champion a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment, communicating vison/values/business strategy and managing succession and development planning for the team

            -

            The CIDA team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is produced, consumed, and managed at an enterprise level to drive business value. The aim is to provide a truly productized offering of automated systems that enable the production and management of re-usable data across different business lines and geographies that Scotiabank operates in. We are looking to build our delivery team with influencers, makers, creators and industry leaders who will drive us forward.

            -


            The role of the Senior Data Engineer operates within the Product Engineering & Delivery team. This valuable member of the team will participate in creating scalable automated systems for re-usable data assets, pipelines and services for the broad enterprise use.
            We are looking for someone who will work with other data engineers, DevOps engineers, and other development/engineering teams in the bank to develop the technical solutions for enterprise data initiatives.

            -


            Key Accountabilities:

            -


            • Design and implement services and components to enable enterprise-wide use of data
            • Automate and re-factor services code.
            • Research, create and evaluate technical solution alternatives for the business needs.
            • Work closely with software/data engineers and DevOps engineers to build data management capabilities that drive real business outcomes
            • Participate in planning and retrospective sessions, attend stand-ups, etc.


            Functional Competencies:

            -


            • Bachelor’s degree in Computer Science, Software Engineering, Mathematics
            • 5+ years’ experience in building enterprise software and solid grasp of Object-Oriented principles
            • 5+ years’ experience with object-oriented programming languages (e.g. Scala, Python, Java)
            • 3+ years’ experience working with big data technologies (e.g. Spark, Hive)
            • Understanding of data management disciplines such as data quality, data profiling, etc.
            • Knowledge and understanding of Google Cloud and its data management capabilities a plus
            • 3+ years’ experience working with relational databases (e.g. MySQL, PostgreSQL)
            • Understanding of CI/CD (e.g. Jenkins, Git, Bitbucket, other)
            • Knowledge and understanding of container and micro-services technologies (e.g. Docker, Kubernetes) a plus
            • Experience in software engineering best practices such as code reviews, testing frameworks, maintainability, and readability
            • Proven strong analytical design, troubleshooting and problem-solving skills
            • Experience with performance tuning data pipelines
            • Strong communication skills, both written and spoken
            • Team player, self-starter, fast learner, relentlessly focused on impact, and able to operate under a great deal of independence
            • Writing and maintaining clear documentation
            • Previous experience working in a technology company or financial institution a plus

            +


            • 5+ years of experience in business/financial services; or a post-secondary education in computer sciences, programming, or a similar vocation
            • Strong technical acumen
            • Project management skills in order to handle diverse projects, often simultaneously, and meet aggressive deadlines
            • Worked in (or at the very least has a very strong understanding of) agile and/or scrum
            • A high level of interpersonal and presentation skills at all levels including the Executive Management Level
            • Able to work in a matrixed organization that has multiple stakeholders
            • Ability to present ideas and facilitate discussions to build consensus at all levels
            • Strong communication skills, both written and spoken, and an ability to convey technical concepts into “layman terms”
            • Results orientation and pragmatic approach to decision-making
            • Ability to work independently and solve complex problems through a collaborative style
            • Self-motivated, solution driven individual and adaptable to a fast-paced environment
            • Ability to exercise good judgment in selecting methods and techniques for obtaining solutions
            • Ability to increase operating efficiency and produce high quality technical solutions
            • Knowledge and understanding of data governance, data policy, privacy would be considered an asset
            • Ability to drive success in a high performing, flexible and small team environment

            -

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Engineer-CID&A-ON-M5C2V9/563949617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-11-16T13:31:55.635Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/156496667-senior-data-engineer-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Engineer-CID&A-ON-M5C2V9/563949617/,expired,2022-10-13T17:17:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -c396575d-9b23-4b07-af64-12fc7a45a877,156497045,Borealis AI,Product Manager - Capital Markets,on_site,"Ontario, Canada",2022-10-13T17:21:05.540Z,"
            -

            What\'s the opportunity?

            -
            As a Product Manager on the Product team, you’ll get a chance to lead a portfolio of innovative AI products for the financial services industry and lead a team of machine learning product managers. You and your team will be responsible for building and delivering products that solve high-impact business and for defining strategic product roadmaps for your portfolio with the support of the business development, engineering, and research teams.At Borealis AI, you’ll be joining a team that works directly with leading machine learning researchers and software developers. Our mission is to think big and go beyond what’s possible today to deliver competitive AI products. This is a rare opportunity to build the skills required to make machine learning work in the enterprise. You can find out more about our research areas at www.borealisai.com.
            -

            Your responsibilities include:

            -
              -
            • Leading a portfolio of machine learning products within Capital Markets;
            • -
            • Defining and executing on both short and long-term product strategy and roadmaps;
            • -
            • Building and maintaining relationships with technical senior stakeholders within RBC Capital Markets;
            • -
            • Defining and delivering POCs and scaling these out into full-fledged products;
            • -
            • Guiding ideas from discovery-to-development-to-deployment in the Capital Markets Environment.
            • -
            -

            You\'re our ideal candidate if you:

            -
              -
            • You have 3-5+ years of experience working in capital markets, capital markets consulting roles or a product role;
            • -
            • You have Master’s, or PhD degree in a technical or quantitative field;
            • -
            • You have strong product leadership skills and the ability to own a portfolio of products end-to-end independently. You have a track record of successful product deliveries;
            • -
            • You have strong foundations in finance and experience in global markets;
            • -
            • You are well versed with the core areas of applied machine learning and have experience deploying models at scale;
            • -
            • You are an experienced team player who can lead a high-performing team and ensure their continued development;
            • -
            • You are a strong collaborator and have the ability to influence both technical and business stakeholders;
            • -
            • You thrive in a fast-paced, dynamic environment.
            • -
            -

            What\'s in it for you?

            -
              -
            • Opportunity to play a vital role in the development of leading-edge capital markets products;
            • -
            • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
            • -
            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
            • -
            • Leaders who support your development through coaching and management opportunities;
            • -
            • Ability to make a difference and lasting impact from a local-to-global scale.
            • -
            -

            About Borealis AI

            -

            Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

            -

            Inclusion and Equal Opportunity Employment

            -

            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

            -
            ",,https://www.borealisai.com/careers/?gh_jid=6370778002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-11-16T13:41:42.271Z,False,0,2,22,https://talenthub.vectorinstitute.ai/jobs/156497045-product-manager-capital-markets-at-borealis-ai,,expired,2022-10-13T17:21:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,PhD,New Posting, -db81cd6f-0e45-47bc-a9bc-ba4a3375d8a8,108639230,Bell Canada,"Senior Manager, Machine Learning",on_site,"Toronto, ON, Canada",2022-02-11T20:22:27.165Z,"

            At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

            -

            -

            If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team.

            -

            Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.

            -

            -

            The Bell Customer Experience Data Science team is an industry leader with deep expertise in customer lifecycle modelling and next best action predictions and we are committed to building ML Solutions that improve the Customer Experience and deliver long-term growth for our organization. Our products are strategically crafted and tactically executed and are vital to the success of Bell’s Loyalty & Marketing organizations.

            +

            +

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Ethics-Design-&-Delivery-ON-M5A3X5/565902317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-16T21:45:00.000Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/186275424-senior-manager-data-ethics-design-delivery-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Ethics-Design-&-Delivery-ON-M5A3X5/565902317/,expired,2023-01-12T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +d82e3275-d172-4d4f-9a7f-d8ebad063a9f,179959643,RBC,"Senior Manager, Analytics & Insights",on_site,"Toronto, ON, Canada",2022-12-22T17:16:02.840Z,"
            +

            Come Work with Us!

            At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

            Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

            +

            Job Title

            Senior Manager, Analytics & Insights

            -

            As a Senior Manager on this team, you will support 5-7 Data Scientists and lead the development of statistical and machine learning models, working closely with machine learning engineers to launch these models at scale. You will work with exabytes of rich datasets to develop decision-making models that provide recommendations for our customers.

            +

            Job Description

            +

            What is the opportunity?

            +

            The PSI (Personal Savings & Investments) Strategy & Analytics team collaborates with all Mutual Fund Distribution, GIC & Savings and Direct Investing product owners to support the creation and evolution of cross PSI LOB strategies.

            +

            In this role, you are responsible for generating, translating, and supporting world class product insights that enhance RBC’s client experience, drive business results, and increase loyalty to all PSI products. You will serve as the primary business liaison to PSI LOBs for data, analytics and insights. By establishing strong collaborative relationships with leaders across the LOBs, you will support and deliver business insights that drive results for the PSI platform.

            -

            Job Duties/Accountabilities:

            +

            What will you do?

            +

            Drive all LOB’s critical business imperatives to unlock growth and develop client’s product loyalty to RBC

              -
            • Drive the creation of machine learning algorithms in the areas of:
            • -
            • Customer Behaviour
            • -
            • Customer Segmentation and clustering
            • -
            • Develop and manage comprehensive measurement framework to track and capture reach, performance and value impact of our algorithms.
            • -
            • A successful track record as a leader, developer and manager of people; demonstrated experience to attract, retain and develop strong talent and build a positive organization and team culture
            • -
            • Strong business acumen, with an appreciation for the opportunities and constraints that accompany an ever-evolving competitive environment
            • +
            • Work with the Sr. Director and LOB leads to leverage product and client insights that impact and influence the delivery of business strategies and tactics and to balance near, mid, and long-term business growth
            • +
            • Work closely with internal clients to support their product analytics requirements in order to ensure the delivery of timely, and relevant Insights that are aligned against critical business imperatives
            • +
            • Support the alignment of analytics across PSI to improve efficiency in strategic insights and maximize LOBs growth potential
            • +
            • Support the definition and adoption of key platform-focused client centric business strategies and tactics including: Client Acquisition & Onboarding; Activation & Cross Sell; Reactivation & Retention strategies
            • +
            • Data and Reporting Capability Development (Tools, processes, procedures)
            • +
            • Drive continuous improvement to PSI reporting tools, processes, policies, and procedures
            • +
            • Provide thought leadership across the organization in representing the added value of enhanced PSI client knowledge and product insights in delivering sustainable differentiation and business results
            -

            -

            Critical Qualifications/Competencies:

            +

            What do you need to succeed?

            +

            Must-have:

              -
            • Degree in a discipline such as: Data Science, applied math, applied science / engineering, economics/econometrics, management science / operations research, or related area
            • -
            • You have development experience with at least one general programming language (e.g. Python, C/C++, Java)
            • -
            • You have previous experience with ML frameworks (e.g. Scikit-learn, Keras, Tensorflow)
            • -
            • You are organized and agile; comfortable with ambiguity and able to prioritize and troubleshoot a variety of technical/business issues
            • -
            • You are self-motivated and can demonstrate enthusiasm via personal projects, publications, or presentations at conferences
            • -
            • Lead a highly technical and analytical teams for 2+ years
            • -
            • Excellent written and oral communication skills (English) with a demonstrable history of developing strong partnerships and cross-team collaboration
            • +
            • A strategic business analytics professional with 4+ years of progressively responsible experience in customer or product insights and analytics.
            • +
            • Ability to lead implementation of product strategies by providing analytical and reporting support focused on data analysis & financial impact
            • +
            • Data mining skills using SAS, SQL, R, or Python; solid technical skill set including the creation and delivery of customer analytics, research and profitability results into business outcomes
            • +
            • Strong critical thinking; demonstrated ability to leverage product insights to draw meaningful conclusions and recommendations; balances the art and science.
            • +
            • An experienced project manager and facilitator who can effectively bring together internal stakeholders in a way that will result in innovative new ideas.

            -

            Preferred Qualifications/Competencies:
            ML technical expertise (frameworks and libraries):

            -
              -
            • GCP Vertex AI Platform
            • -
            • Python development skills
            • -
            • Experience with general ML/Data Science tools in Python: numpy, pandas, sklearn, jupyter etc
            • -
            • Hands-on experience and expertise with different AI/ML frameworks such as Keras, Pytorch, TensorFlow, SparkML, Scikit-Learn
            • -
            • Computer science fundamentals
            • -
            • Database: SQL, Hadoop
            • -
            -

            Theoretical knowledge:

            +

            Nice-to-have

              -
            • Advanced knowledge of ML models: deep learning, reinforcement learning, and others
            • -
            • Theoretical understanding of neural networks, backpropagation, and optimization algorithms with emphasis on mathematical understanding.
            • -
            • Mathematical understanding of some ML algorithms: regression, SVM, decision trees, etc…
            • +
            • Familiar with online tools such as Google Analytics Premium and Tableau
            • +
            • Advanced knowledge of R, Python, SQL or SAS
            • +
            • Ability to code in Scala, JavaScript, JQuery, HTML and related languages an asset
            • +
            • Previous work experience using cloud computing environments (AWS, Google Cloud, Azure) an asset

            -

            #EmployeeReferralProgram #ProgrammeRecommandationEmployes

            -

            #Indeed #Tech #Technology #MachineLearning #CustomerBehavior #CustomerSegmentation #DataScience #Python #Java #C++ #MLFramework #Sensorflow #Keras #Scikit-learn #Management #SQL #Hadoop #ComputeScience #DataScienceteam

            -

            -

            Bilingualism is an asset (English and French); adequate knowledge of French is required for positions in Quebec.

            -

            -

            Additional Information:

            -

            Position Type: Management
            Job Status: Regular - Full Time
            Job Location: Canada : Ontario : Don Mills || Canada : Ontario : Mississauga || Canada : Ontario : Toronto || Canada : Quebec : Montreal

            -

            Flexible work profile: Mobile
            Application Deadline: 02/14/2022

            -

            -

            Please apply directly online to be considered for this role. Applications through email will not be accepted.

            -

            -

            At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

            -

            -

            Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

            ",,https://jobs.bell.ca/ca/en/job/BECACA339899EXTERNALENCA/Senior-Manager-Machine-learning,aitalent@vectorinstitute.ai,,,,2022-03-13T20:22:00.000Z,False,0,0,56,https://talenthub.vectorinstitute.ai/jobs/108639230-senior-manager-machine-learning-at-bell-canada,,expired,2022-02-11T20:22:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Senior Manager,Bachelors Degree,New Posting, -9d0a3f17-4232-47c1-8529-56f968f0229f,109607384,Bell Canada,"Developer, Data Science, Deep Learning",on_site,"Toronto, Ontario",2022-02-18T14:18:35.987Z,"

            Req Id: 344724

            -

            -

            At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

            -

            -

            If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team.

            -

            Bell’s Field Services team is proud to be the face of the Bell brand, performing the best installation and repair services and maintaining Bell’s network for our residential and business customers.

            -

            -

            The Field Services Business Intelligence team is responsible for developing, maintaining and using data driven insights on customer experience and field operations. The team covers a full stack of business intelligence and advanced analytics from sourcing and maintaining data to reporting, analysis and data visualization to developing ML/AI models and deploying production-level data-driven applications. Our team partners closely with other BI teams within the company and supports our Field Services team members with impactful insights that help us continue to transform the business.

            -

            -

            If you’re the type of person that has a strong sense of curiosity and is energized by solving complex puzzles, then this role it the perfect opportunity for you. With nearly limitless sources of data at your fingertips, the Field Services Business Intelligence team collects and analyzes millions of data points on network and product performances to optimize resource utilization across a workforce of nearly 10,000 people. The team’s findings help prioritize key technology investments and ensures major strategic decisions are always data driven. This is a terrific opportunity to gain experience working with new cutting-edge technologies.

            -


            Reporting to the Senior Manager, Advanced Analytics, the ideal candidate is a Developer, Data Science, accountable for the successful planning, design and development of Machine Learning models that help Bell deliver a best in class customer experience. The successful candidate will work closely with cross-functional teams across Field Services, Network and other Business Units to implement and operationalize machine learning model that give real-time feedback to our customers and technicians.

            -


            Key Responsibilities:

            -
              -
            • Lead the development of machine learning products and models to improve the Customer Experience and optimize Field Operations
            • -
            • Operationalize ML Models and track model performance using appropriate KPIs, metrics and techniques
            • -
            • Build and maintain scalable apps, APIs and Data Pipelines for ML models in production
            • -
            • Build and implement strategies for ML-driven projects
            • -
            • Work with and communicate with stakeholders at all management levels effectively and confidently
            • -
            • Explore new data sources to uncover new opportunities for data driven projects
            • -
            • Maintain and expand your knowledge of ML/AI and technologies through continuous training and learnings
            • -
            -

            -

            Qualifications:

            -
              -
            • Undergraduate or masters degree in Engineering, Computer Science, Physics, Mathematics, Operations Management/Research, Business or relevant field
            • -
            • Advanced knowledge of ML models including deep learning, reinforcement learning, NLP and others
            • -
            • Experience with different ML frameworks such as Keras, Pytorch, Tensor Flow, SparkML, Sciki-Learn
            • -
            • Experience in developing robust data pipelines using SQL, Hadoop, Spark and other ETL processes
            • -
            • Experience handling live data sources through platforms like Kafka
            • -
            • Excellent knowledge of code design and able to build robust and scalable code
            • -
            • Experience deploying ML/AI models into production
            • -
            • Self starter with highly analytical problem solving skills
            • -
            • Must be versatile and quick to learn new languages, packages and frameworks
            • -
            • Strategic and creative thinker who is exceptionally adept with quantitative and qualitative analysis
            • -
            • Team player with excellent organization and interpersonal skills
            • -
            -

            -

            #tech

            -

            #EmployeeReferralProgram

            -

            -

            Bilingualism is an asset (English and French); adequate knowledge of French is required for positions in Quebec.

            -

            -

            Additional Information:

            -

            Position Type: Management
            Job Status: Regular - Full Time
            Job Location: Canada : Ontario : Toronto

            -

            Flexible work profile: Mobile
            Application Deadline: 02/20/2022

            -

            -

            Please apply directly online to be considered for this role. Applications through email will not be accepted.

            -

            -

            At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

            -

            -

            Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

            -

            -

            Created: Canada, ON, Toronto

            -

            -

            Bell, one of Canada's Top 100 Employers.

            ",,https://jobs.bell.ca/ca/en/job/BECACA344724EXTERNALENCA/Developer-Data-Science-Deep-Learning?utm_source=VectorInstitute&utm_medium=phenom-feeds,info@bell.ca,,,,2022-02-22T22:42:00.000Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/109607384-developer-data-science-deep-learning-at-bell-canada,BECACA344724EXTERNALENCA,expired,2022-02-18T14:18:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Associate,Masters Degree,New Posting, -f8369f99-fe6f-4bae-b66a-1587ad710222,109607209,Bell Canada,"Developer, Data Science, Business Intelligence",on_site,"Toronto, Ontario",2022-02-18T14:18:04.652Z,"

            Req Id: 347643

            -

            -

            At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

            -

            -

            If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team.

            -

            Bell’s Field Services team is proud to be the face of the Bell brand, performing the best installation and repair services and maintaining Bell’s network for our residential and business customers.

            -

            -

            The Field Services Business Intelligence team is responsible developing, maintaining and using data driven insights on customer experience and field operations. The team covers a full stack of business intelligence and advanced analytics from sourcing and maintaining data to reporting, analysis and data visualization to developing machine learning models and deploying production model driven applications. Our team partners closely with other BI teams within the company and supports our Field Services team members with impactful insights that help us continue to transform the business.

            -

            -

            If you’re the type of person that has a strong sense of curiosity and is energized by solving complex puzzles, then this role it the perfect opportunity for you. With nearly limitless sources of data at your fingertips, the Field Services Business Intelligence team collects and analyzes millions of data points on network and product performances to optimize resource utilization across a workforce of nearly 10,000 people. The team’s findings help prioritize key technology investments and ensures major strategic decisions are always data driven. This is a terrific opportunity to gain experience working with new cutting-edge technologies.

            -


            Reporting to the Senior Manager, Advanced Analytics, the ideal candidate is a Developer, Data Science, accountable for the successful planning, design and development of Machine Learning models that help Bell deliver a best in class customer experience. The successful candidate will work closely with cross-functional teams across Field Services to implement and operationalize machine learning model that give real-time feedback to our customers and technicians.

            -


            Key Responsibilities:

            -
              -
            • Build code and models to translate data into actionable insights
            • -
            • Design and develop Machine Learning model within Field Services to improve Customer Experience and optimize Field Operations processes
            • -
            • Track model performance using appropriate KPIs, metrics and techniques
            • -
            • Deliver solutions with measurable results and benefits to the business overall and define key metrics for measuring success of the project
            • -
            • Communicate results of analysis and models to stakeholders effectively and confidently
            • -
            • Translating business imperatives into data centered questions to be able to quantify and evaluate them
            • -
            • Bring in new sources of data by exploring data across Bell and externally
            • -
            • Design and expand interactive dashboards
            • -
            -

            -

            Qualifications:

            -
              -
            • Self starter with highly analytical problem solving skills
            • -
            • Undergraduate of masters degree in Engineering, Computer Science, Physics, Mathematics, Operations Management/Research, Business or relevant field
            • -
            • Experience in using Python and SQL (Hadoop, Microsoft SQL Server, Teradata, SAS, Oracle) to analyze data and gather valuable insights
            • -
            • Experience in developing and modifying Hadoop (Spark, Scala, Impala), Python and SQL ETL Processes
            • -
            • Knowledge of machine learning practices and experience applying them to real datasets
            • -
            • Must be versatile and quick to learn new languages, packages and frameworks
            • -
            • Strategic and creative thinker who is exceptionally adept with quantitative and qualitative analysis
            • -
            • Ability to leverage insights and opportunities from data and metrics to build strategies and make recommendations
            • -
            • Team player with excellent organization and interpersonal skills
            • -
            -

            -

            #tech

            -

            ##EmployeeReferralProgram

            -

            -

            Bilingualism is an asset (English and French); adequate knowledge of French is required for positions in Quebec.

            -

            -

            Additional Information:

            -

            Position Type: Management
            Job Status: Regular - Full Time
            Job Location: Canada : Ontario : Toronto

            -

            Flexible work profile: Mobile
            Application Deadline: 03/20/2022

            -

            -

            Please apply directly online to be considered for this role. Applications through email will not be accepted.

            -

            -

            At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

            -

            -

            Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

            -

            -

            Created: Canada, ON, Toronto

            -

            -

            Bell, one of Canada's Top 100 Employers.

            ",,https://jobs.bell.ca/ca/en/job/BECACA347643EXTERNALENCA/Developer-Data-Science-Business-Intelligence?utm_source=VectorInstitute&utm_medium=phenom-feeds,info@bell.ca,,,,2022-03-21T14:23:00.000Z,False,0,1,40,https://talenthub.vectorinstitute.ai/jobs/109607209-developer-data-science-business-intelligence-at-bell-canada,BECACA347643EXTERNALENCA,expired,2022-02-18T14:18:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Associate,Masters Degree,New Posting, -f14160fb-0179-4edc-b7b3-11d97dea0ce3,111991872,Bell Canada,"Developer, Data Science",on_site,"Toronto, Ontario",2022-03-03T14:18:10.709Z,"

            Req Id: 356584

            -

            -

            At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

            -

            -

            If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team.

            -

            Bell’s Field Services team is proud to be the face of the Bell brand, performing the best installation and repair services and maintaining Bell’s network for our residential and business customers.

            -

            -

            About Us:

            -

            The Field Services Business Intelligence team is tasked with developing, maintaining and using data driven insights on customer experience and field operations. The team covers a full stack of business intelligence and advanced analytics from sourcing and maintaining data to reporting, analysis and data visualization to developing machine learning models and deploying production model driven applications. Our team partners closely with other BI teams within the company and guides our Field Services team members with impactful insights that help us continue to transform the business.

            -

            -

            If you’re the type of person that has a strong sense of curiosity and is energized by solving complex puzzles, then this role it the perfect opportunity for you. With nearly limitless sources of data at your fingertips, the Field Services Business Intelligence team collects and examines millions of data points on network and product performances to optimize resource utilization across a workforce of nearly 10,000 people. The team’s findings help prioritize key technology investments and ensures major corporate decisions are always data driven. This is a terrific opportunity to gain experience working with new cutting-edge technologies.

            -

            -

            Position Summary:
            Reporting to the Senior Manager, Advanced Analytics, the ideal candidate is a Developer, Data Science, tasked with the successful planning, design and development of Machine Learning models that help Bell deliver a best in class customer experience. The successful candidate will work closely with cross-functional teams across Field Services to implement and operationalize machine learning model that give real-time feedback to our customers and technicians.

            -


            Key Responsibilities:

            -
              -
            • Build code and models to translate data into actionable insights
            • -
            • Design and develop Machine Learning model within Field Services to improve Customer Experience and optimize Field Operations processes
            • -
            • Track model performance using appropriate KPIs, metrics and techniques
            • -
            • Deliver solutions with measurable results and benefits to the business overall and define key metrics for measuring success of the project
            • -
            • Communicate results of analysis and models to stakeholders effectively and confidently
            • -
            • Translating business imperatives into data centered questions to be able to quantify and evaluate them
            • -
            • Bring in new sources of data by exploring data across Bell and externally
            • -
            • Design and expand interactive dashboards
            • -
            -

            -

            Qualifications:

            +

            What’s in it for you?

            +

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

              -
            • Self starter with excellent problem solving skills
            • -
            • Undergraduate of masters degree in Engineering, Computer Science, Physics, Mathematics, Operations Management/Research, Business or relevant field
            • -
            • Experience in using Python and SQL (Hadoop, Microsoft SQL Server, Teradata, SAS, Oracle) to assess data and gather valuable insights
            • -
            • Experience in developing and modifying Hadoop (Spark, Scala, Impala), Python and SQL ETL Processes
            • -
            • Experience deploying ML/AI models into production
            • -
            • Knowledge of machine learning practices and experience applying them to real datasets
            • -
            • Must be versatile and quick to learn new languages, packages and frameworks
            • -
            • Judicious and creative thinker who is exceptionally adept with quantitative and qualitative analysis
            • -
            • Ability to leverage insights and opportunities from data and metrics to build strategies and make recommendations
            • -
            • Team player with excellent organization and people skills
            • +
            • Comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
            • +
            • Leaders who support your development through coaching and managing opportunities
            • +
            • Ability to make a difference and lasting impact
            • +
            • Work in a dynamic, collaborative, progressive, and high-performing team
            • +
            • Flexible work/life balance options
            • +
            • Opportunities to do challenging work
            • +
            • Opportunities to take on progressively greater accountabilities
            -

            -

            #talent
            #tech
            #indeed
            #LI-JW1
            #LI-Hybrid

            -

            -

            -

            Bilingualism is an asset (English and French); adequate knowledge of French is required for positions in Quebec.

            -

            -

            Additional Information:

            -

            Position Type: Management
            Job Status: Regular - Full Time
            Job Location: Canada : Ontario : Toronto

            -

            Flexible work profile: Mobile
            Application Deadline: 03/11/2022

            -

            -

            Please apply directly online to be considered for this role. Applications through email will not be accepted.

            -

            -

            At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

            -

            -

            Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

            -

            -

            Created: Canada, ON, Toronto

            -

            -

            Bell, one of Canada's Top 100 Employers.

            ",,https://jobs.bell.ca/ca/en/job/BECACA356584EXTERNALENCA/Developer-Data-Science?utm_source=VectorInstitute&utm_medium=phenom-feeds,info@bell.ca,,,,2022-03-12T14:23:00.000Z,False,0,7,33,https://talenthub.vectorinstitute.ai/jobs/111991872-developer-data-science-at-bell-canada,BECACA356584EXTERNALENCA,expired,2022-03-03T14:18:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Retail,Associate,Masters Degree,New Posting, -22ce5785-d6ce-4b73-968e-a11c6e26da98,105926550,Bell Canada,"Senior Project Manager, ML Engineering",on_site,"Mississauga, ON, Canada",2022-01-26T21:19:44.477Z,"


            Req Id: 345678

            -

            -

            At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

            -

            If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team.

            -

            Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.

            -

            -

            Our Ops Data Science team is calling out for a seasoned implementation strategist, who appreciates the balance between those worlds, to help shaping the next generation of AI/ML, transforming how Bell operates.

            -

            Reporting directly to the Senior Manager, Business Intelligence, the Senior Project Manager will be responsible for leading end to end (E2E) AI/ML integration delivery, working closely with cross-functional partners. The candidate must be a highly inquisitive and collaborative individual, with a passion for fostering a culture of operational excellence.

            +

            Job Summary

            +

            Address:

            TORONTO, Ontario, Canada

            City:

            CAN-ON-TORONTO

            Country:

            Canada

            Work hours/week:

            37.5

            Employment Type:

            Full time

            Platform:

            Personal and Commercial Banking

            Job Type:

            Regular

            Pay Type:

            Salaried

            Posted Date:

            2022-10-03-07:00

            Application Deadline:

            2023-01-15-08:00
            +

            Inclusion and Equal Opportunity Employment

            +

            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
            ​​​​​​​
            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

            +
            +

            Join our Talent Community

            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

            +
            ",,https://jobs.rbc.com/ca/en/job/R-0000031652/Senior-Manager-Analytics-Insights,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-01-16T21:48:00.000Z,False,0,3,11,https://talenthub.vectorinstitute.ai/jobs/179959643-senior-manager-analytics-insights-at-rbc,,expired,2022-12-22T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +bdb0a02c-a23c-4ac0-8b67-dd622a98bfda,179960339,TD Bank Group,Data Scientist III,on_site,"Toronto, ON",2022-12-22T17:24:05.448Z,"
            +

            Company Overview

            +
            +

            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

            +

            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

            +

            -

            Key Responsibilities:

            -
              -
            • Effectively engage, lead and influence cross functional teams, to enable E2E integration delivery
            • -
            • Create and manage project plans and related documentation, in accordance with established project management methodology (i.e. Project Charter, Scope Statement, WBS, Budget, Action Registers, etc.)
            • -
            • Develop scope and maintain high level SRS documentation
            • -
            • Collaborate with SMEs, in maintaining traceability between business requirements, product features and the functional requirements, throughout development of the SRS document to completion of testing results
            • -
            • Build implementation instruments (i.e. Deployment Communication Plan, Method of Procedure, Request for Change)
            • -
            • Build strong relationships with project sponsors and key stakeholders, to incorporate their goals, and adopt solutions
            • -
            • Provide regular updates on project status, including risks and risk management approach to senior management
            • -
            • Develop and maintain iteration reports
            • -
            • Build team organizational process asset
            • -
            +

            Department Overview

            +
            +

            What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

            +

            As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

            +

            TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

            +

            We are on a journey to enable Environmental, Social, and Governance (ESG) at TD with a Climate Data Solution, that will blend internal and externally sourced data to deliver on key Climate priority areas and use-cases. As a part of this new team, with an enterprise mandate, you will be on the leading edge of the TD ESG journey to enable scale, competency, and business solutions through data and analytics.

            +

            -

            Critical Qualifications/Competencies:

            +

            Job Description

            +
            +

            +

            About this Role

            +

            For this role, we’re counting on your intensive technical leadership to forge our path moving forward. As an emissary of the crucial nature of data science, you’ll work in close proximity others across the bank to identify and pursue new opportunities wherever they lie. You’ll play a crucial role on cross functional teams of data scientists, data and IT engineers and business process owners to build out and implement world-class analytic solutions enterprise wide. You can handle just how much data TD has, and cannot wait to help build statistical models that scale to them.

            +

            We are looking for someone to help parse our vast data and identify needs and analytical trends employing industry leading techniques and theories to improve TD’s business practices enterprise wide.

            +

            As a Data Scientist III, these are the essential qualifications of this role:

              -
            • 7 years of Project Management experience
            • -
            • Strong knowledge of project management methodology and best practices (e.g. PMI, disciplined agile, SAFe)
            • -
            • Proficiency using Project Management Tools including MS Office products (Excel, Word, PowerPoint, Project)
            • -
            • Proficiency in iteration, PI planning processes
            • -
            • Familiar with Software Development Life Cycle, and Change Management concepts
            • -
            • Excellent communication skills both oral & written to manage the project horizontally and vertically within Bell
            • -
            • Ability to manage ambiguity, uncertainty and changing priorities
            • -
            • Product ownership mindset
            • +
            • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core deliverables
            • +
            • Work closely with business owners to find opportunities and serve as an ambassador for data science
            • +
            • Design and deliver enterprise analytic solutions for customers
            • +
            • Develop powerful business insights from social, marketing and industrial data using advanced machine learning techniques
            • +
            • Build complex statistical models that learn from and scale to petabytes of data.
            • +
            • Analytical thought leadership and stay current on developments in data mining and the application of data science
            • +
            • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
            • +
            • Generally accountable for a significant business management area that typically has enterprise wide impact or accountability
            • +
            • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
            +

            -

            Preferred Skills and Competencies:

            +

            Requirements

            +
            + What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

              -
            • Familiarity with Cloud technologies, ML Engineering practises
            • -
            • Knowledge of test strategy and planning processes, including test plan creation
            • -
            • Proficiency in Jira and other collaboration tools
            • -
            • General knowledge and understanding of Bell’s network, systems and processes
            • -
            • Knowledge of other system areas such as ordering, billing, provisioning and field services
            • -
            • Knowledge of Bell’s Residential and Mobility services products
            • +
            • Undergraduate degree or technical certificate
            • +
            • Ten (10) or more years of relevant experience
            +

            +

            Hours

            +
            37.5

            -

            Bilingualism is an asset (English and French); adequate knowledge of French is required for positions in Quebec.

            -

            -

            Additional Information:

            -

            Position Type: Management
            Job Status: Regular - Full Time
            Job Location: Canada : Ontario : Mississauga

            -

            Flexible work profile: Mobile
            Application Deadline: 02/20/2022

            -

            -

            Please apply directly online to be considered for this role. Applications through email will not be accepted.

            -

            -

            At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

            -

            -

            Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

            +

            Inclusiveness

            +

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            -

            Created: Canada, ON, Mississauga

            ",,https://jobs.bce.ca/bell/job/Mississauga-Senior-Project-Manager%2C-ML-Engineering-ON/837889300/,aimasters@vectorinstitute.ai,,,,2022-02-22T22:42:00.000Z,False,0,0,39,https://talenthub.vectorinstitute.ai/jobs/105926550-senior-project-manager-ml-engineering-at-bell-canada,,expired,2022-01-26T21:19:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, +
            ",,https://jobs.td.com/en-CA/jobs/16981948/data-scientist-iii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-16T21:47:00.000Z,False,0,1,16,https://talenthub.vectorinstitute.ai/jobs/179960339-data-scientist-iii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16981948/data-scientist-iii-toronto-ca/,expired,2022-12-22T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, 889df66b-17ae-4be8-96f3-cd2ac14b8f2a,178993705,OMERS,"Student Analyst, Asset Management",on_site,"Ontario, Canada",2022-12-19T17:42:03.973Z,"

            Why join us?

            @@ -54489,555 +61618,412 @@ f8369f99-fe6f-4bae-b66a-1587ad710222,109607209,Bell Canada,"Developer, Data Scie

            Created: Canada, ON, Toronto

            Bell, one of Canada's Top 100 Employers.

            ",,https://jobs.bell.ca/ca/en/job/BECACA347643EXTERNALENCA/Developer-Data-Science-Business-Intelligence?utm_source=VectorInstitute&utm_medium=phenom-feeds,info@bell.ca,,,,2022-03-21T14:23:00.000Z,False,0,1,40,https://talenthub.vectorinstitute.ai/jobs/109607209-developer-data-science-business-intelligence-at-bell-canada,BECACA347643EXTERNALENCA,expired,2022-02-18T14:18:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Associate,Masters Degree,New Posting, -e10816db-d7d2-472d-8362-0218627f5079,169472540,TD Bank Group,Data Scientist II,on_site,"Toronto, ON",2022-11-21T17:24:06.646Z,"
            -

            Company Overview

            -
            -

            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

            -

            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

            -
            -

            -

            Department Overview

            -
            -

            What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

            -

            As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

            -

            TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

            -
            -

            -

            Job Description

            -
            -

            -

            About this Role

            -

            While you are a natural leader, you don’t mind getting your hands dirty. And in your role, you will simultaneously work to create data related solutions to drive business results, while working with senior leadership to communicate timelines and progress and identify business opportunities. You are not only a functional expert, you also possess broad managerial experience and specialized knowledge of regulatory and industry frameworks, using that knowledge to inform development cycles and develop industry leading analytic solutions. Most of all, your work ethic and thought leadership inspires your team to innovate with purpose, execute with speed, collaborate to deliver world-class data solutions and ultimately become leaders themselves.

            -

            We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work enterprise wide.

            -

            As a Data Scientist II, these are the essential qualifications of this role:

            +f14160fb-0179-4edc-b7b3-11d97dea0ce3,111991872,Bell Canada,"Developer, Data Science",on_site,"Toronto, Ontario",2022-03-03T14:18:10.709Z,"

            Req Id: 356584

            +

            +

            At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

            +

            +

            If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team.

            +

            Bell’s Field Services team is proud to be the face of the Bell brand, performing the best installation and repair services and maintaining Bell’s network for our residential and business customers.

            +

            +

            About Us:

            +

            The Field Services Business Intelligence team is tasked with developing, maintaining and using data driven insights on customer experience and field operations. The team covers a full stack of business intelligence and advanced analytics from sourcing and maintaining data to reporting, analysis and data visualization to developing machine learning models and deploying production model driven applications. Our team partners closely with other BI teams within the company and guides our Field Services team members with impactful insights that help us continue to transform the business.

            +

            +

            If you’re the type of person that has a strong sense of curiosity and is energized by solving complex puzzles, then this role it the perfect opportunity for you. With nearly limitless sources of data at your fingertips, the Field Services Business Intelligence team collects and examines millions of data points on network and product performances to optimize resource utilization across a workforce of nearly 10,000 people. The team’s findings help prioritize key technology investments and ensures major corporate decisions are always data driven. This is a terrific opportunity to gain experience working with new cutting-edge technologies.

            +

            +

            Position Summary:
            Reporting to the Senior Manager, Advanced Analytics, the ideal candidate is a Developer, Data Science, tasked with the successful planning, design and development of Machine Learning models that help Bell deliver a best in class customer experience. The successful candidate will work closely with cross-functional teams across Field Services to implement and operationalize machine learning model that give real-time feedback to our customers and technicians.

            +


            Key Responsibilities:

              -
            • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core work you’re doing
            • -
            • Work closely with business owners to find opportunities and serve as an ambassador for data science
            • -
            • Design and deliver enterprise analytic solutions for customers
            • -
            • Develop powerful business insights from social, marketing and industrial data using advanced machine learning techniques
            • -
            • Build complex statistical models that learn from and scale to petabytes of data.
            • -
            • Analytical thought leadership and staying ahead of developments in data mining and the application of data science
            • -
            • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
            • -
            • Generally accountable for a significant business management area that typically has enterprise wide impact or accountability
            • -
            • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
            • +
            • Build code and models to translate data into actionable insights
            • +
            • Design and develop Machine Learning model within Field Services to improve Customer Experience and optimize Field Operations processes
            • +
            • Track model performance using appropriate KPIs, metrics and techniques
            • +
            • Deliver solutions with measurable results and benefits to the business overall and define key metrics for measuring success of the project
            • +
            • Communicate results of analysis and models to stakeholders effectively and confidently
            • +
            • Translating business imperatives into data centered questions to be able to quantify and evaluate them
            • +
            • Bring in new sources of data by exploring data across Bell and externally
            • +
            • Design and expand interactive dashboards
            -
            -

            -

            Requirements

            -
            - What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

            +

            +

            Qualifications:

              -
            • Undergraduate degree or technical certificate
            • -
            • Seven (7) or more years of relevant experience
            • +
            • Self starter with excellent problem solving skills
            • +
            • Undergraduate of masters degree in Engineering, Computer Science, Physics, Mathematics, Operations Management/Research, Business or relevant field
            • +
            • Experience in using Python and SQL (Hadoop, Microsoft SQL Server, Teradata, SAS, Oracle) to assess data and gather valuable insights
            • +
            • Experience in developing and modifying Hadoop (Spark, Scala, Impala), Python and SQL ETL Processes
            • +
            • Experience deploying ML/AI models into production
            • +
            • Knowledge of machine learning practices and experience applying them to real datasets
            • +
            • Must be versatile and quick to learn new languages, packages and frameworks
            • +
            • Judicious and creative thinker who is exceptionally adept with quantitative and qualitative analysis
            • +
            • Ability to leverage insights and opportunities from data and metrics to build strategies and make recommendations
            • +
            • Team player with excellent organization and people skills
            -
            -

            -

            Additional Information

            -
            -#LI-Hybrid #datascientist
            -

            -

            Hours

            -
            37.5
            +

            +

            #talent
            #tech
            #indeed
            #LI-JW1
            #LI-Hybrid

            +

            +

            +

            Bilingualism is an asset (English and French); adequate knowledge of French is required for positions in Quebec.

            +

            +

            Additional Information:

            +

            Position Type: Management
            Job Status: Regular - Full Time
            Job Location: Canada : Ontario : Toronto

            +

            Flexible work profile: Mobile
            Application Deadline: 03/11/2022

            +

            +

            Please apply directly online to be considered for this role. Applications through email will not be accepted.

            +

            +

            At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

            +

            +

            Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

            +

            +

            Created: Canada, ON, Toronto

            +

            +

            Bell, one of Canada's Top 100 Employers.

            ",,https://jobs.bell.ca/ca/en/job/BECACA356584EXTERNALENCA/Developer-Data-Science?utm_source=VectorInstitute&utm_medium=phenom-feeds,info@bell.ca,,,,2022-03-12T14:23:00.000Z,False,0,7,33,https://talenthub.vectorinstitute.ai/jobs/111991872-developer-data-science-at-bell-canada,BECACA356584EXTERNALENCA,expired,2022-03-03T14:18:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Retail,Associate,Masters Degree,New Posting, +22ce5785-d6ce-4b73-968e-a11c6e26da98,105926550,Bell Canada,"Senior Project Manager, ML Engineering",on_site,"Mississauga, ON, Canada",2022-01-26T21:19:44.477Z,"


            Req Id: 345678

            -

            Inclusiveness

            -

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            +

            At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

            -
            ",,https://jobs.td.com/en-CA/jobs/17079264/data-scientist-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-12-01T14:59:00.000Z,False,0,2,13,https://talenthub.vectorinstitute.ai/jobs/169472540-data-scientist-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17079264/data-scientist-ii-toronto-ca/,expired,2022-11-21T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -f9863617-6a0f-43bb-836a-d6ca3bdb0904,171556239,RBC,"Manager, Insights & Analytics",on_site,"Toronto, ON, Canada",2022-11-28T17:16:04.120Z,"
            -

            Come Work with Us!

            At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

            Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

            -

            Job Title

            Manager, Insights & Analytics

            +

            If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team.

            +

            Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.

            -

            Job Description

            -

            What is the opportunity?

            -

            As the Manager, Insights & Analytics, you will be responsible for developing tests that provides visibility into the effectiveness of key controls across all LOBs within P&CB. You will also work on streamlining our processes and finding analytical & reporting solutions to enable effective communication of business and operational risk insights.

            +

            Our Ops Data Science team is calling out for a seasoned implementation strategist, who appreciates the balance between those worlds, to help shaping the next generation of AI/ML, transforming how Bell operates.

            -

            Please Note: This role is a hybrid opportunity, for applicants within commuting distance to Toronto Downtown offices.

            +

            Reporting directly to the Senior Manager, Business Intelligence, the Senior Project Manager will be responsible for leading end to end (E2E) AI/ML integration delivery, working closely with cross-functional partners. The candidate must be a highly inquisitive and collaborative individual, with a passion for fostering a culture of operational excellence.

            -

            What will you do?

            +

            Key Responsibilities:

              -
            • Analyze data to derive meaningful and actionable insights that enhance monitoring of key risks.
            • -
            • Produce reports and analysis to enable effective risk management across all LOBs within P&CB.
            • -
            • Present risk insights to Operational Risk Directors and senior leaders within Business Risk Monitoring & Solutions (BRMS).
            • -
            • Ensure a framework and governance structure is in place, to maintain key findings, reporting and access to data of file reviews for regulators
            • -
            • Partner with teammates to design meaningful risk-monitoring measures for decision making.
            • -
            • Provide streamlining solutions for end-to-end operational risk reporting and key control test development.
            • -
            • Develop complex Enterprise Data Warehouse (EDW) queries to test key risk controls against a business requirements.
            • -
            • Coordinate quality assurance and back testing to determine if the rules are working properly
            • -
            • Support verifying data consistency between final reports, source systems, and data input; and assist with researching and enhancing automation methodologies
            • -
            • Be a member of the data accuracy committee, where issues are identified, recommendations are discussed, challenged and implemented
            • +
            • Effectively engage, lead and influence cross functional teams, to enable E2E integration delivery
            • +
            • Create and manage project plans and related documentation, in accordance with established project management methodology (i.e. Project Charter, Scope Statement, WBS, Budget, Action Registers, etc.)
            • +
            • Develop scope and maintain high level SRS documentation
            • +
            • Collaborate with SMEs, in maintaining traceability between business requirements, product features and the functional requirements, throughout development of the SRS document to completion of testing results
            • +
            • Build implementation instruments (i.e. Deployment Communication Plan, Method of Procedure, Request for Change)
            • +
            • Build strong relationships with project sponsors and key stakeholders, to incorporate their goals, and adopt solutions
            • +
            • Provide regular updates on project status, including risks and risk management approach to senior management
            • +
            • Develop and maintain iteration reports
            • +
            • Build team organizational process asset

            -

            What do you need to succeed?

            -

            Must-have

            +

            Critical Qualifications/Competencies:

              -
            • 2+ years experience in reporting or analytics and a Degree in a quantitative field
            • -
            • Strong expertise in data querying tools and advance skills in SAS and SQL
            • -
            • Experienced in using Teradata to query EDW
            • -
            • Knowledge of data related to Retail and/or Commercial banking products
            • -
            • Proficiency in MS Excel (including Pivot Tables and data importing)
            • -
            • Strong presentation skills with the ability to communicate clearly and simplify complex concepts.
            • -
            • Solid communication skills, and ability to effectively converse with technical and non-technical contacts
            • -
            • Proven analytical and problem solving experience, with a collaborative attitude
            • +
            • 7 years of Project Management experience
            • +
            • Strong knowledge of project management methodology and best practices (e.g. PMI, disciplined agile, SAFe)
            • +
            • Proficiency using Project Management Tools including MS Office products (Excel, Word, PowerPoint, Project)
            • +
            • Proficiency in iteration, PI planning processes
            • +
            • Familiar with Software Development Life Cycle, and Change Management concepts
            • +
            • Excellent communication skills both oral & written to manage the project horizontally and vertically within Bell
            • +
            • Ability to manage ambiguity, uncertainty and changing priorities
            • +
            • Product ownership mindset

            -

            Nice-to-have

            +

            Preferred Skills and Competencies:

              -
            • Experience using DataMeer for ETL jobs
            • -
            • Experience building Tableau reports
            • -
            • Experience using Python for data analytics and/or automation
            • +
            • Familiarity with Cloud technologies, ML Engineering practises
            • +
            • Knowledge of test strategy and planning processes, including test plan creation
            • +
            • Proficiency in Jira and other collaboration tools
            • +
            • General knowledge and understanding of Bell’s network, systems and processes
            • +
            • Knowledge of other system areas such as ordering, billing, provisioning and field services
            • +
            • Knowledge of Bell’s Residential and Mobility services products

            -

            What’s in it for you?

            -

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

            -
              -
            • Competitive Compensation
            • -
            • A professional and supportive team environment
            • -
            • A comprehensive training program on internal processes and systems
            • -
            • Career progression if you have what it takes to be the best
            • -

            -

            RBC is committed to supporting flexible work arrangements when and where available. Details to be discussed with Hiring Manager.

            +

            Bilingualism is an asset (English and French); adequate knowledge of French is required for positions in Quebec.

            +

            Additional Information:

            +

            Position Type: Management
            Job Status: Regular - Full Time
            Job Location: Canada : Ontario : Mississauga

            +

            Flexible work profile: Mobile
            Application Deadline: 02/20/2022

            -

            Job Summary

            -

            Address:

            TORONTO, Ontario, Canada

            City:

            CAN-ON-TORONTO

            Country:

            Canada

            Work hours/week:

            37.5

            Employment Type:

            Full time

            Platform:

            Personal and Commercial Banking

            Job Type:

            Regular

            Pay Type:

            Salaried

            Posted Date:

            2022-11-25-08:00

            Application Deadline:

            2022-12-10-08:00
            -

            Inclusion and Equal Opportunity Employment

            -

            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
            ​​​​​​​
            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

            -
            -

            Join our Talent Community

            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

            -
            ",,https://jobs.rbc.com/ca/en/job/R-0000038982/Manager-Insights-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2022-12-12T17:21:01.776Z,False,0,2,19,https://talenthub.vectorinstitute.ai/jobs/171556239-manager-insights-analytics-at-rbc,,expired,2022-11-28T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -27017b35-4881-4716-a3ff-df5780936e48,172476098,CIBC,Senior Data Scientist with Machine Learning,full,"Ontario, Canada",2022-12-01T17:06:03.989Z,"
            -

            We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

            +

            Please apply directly online to be considered for this role. Applications through email will not be accepted.

            -

            At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

            +

            At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

            -

            To learn more about CIBC, please visit CIBC.com

            +

            Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

            -

            Job Description

            +

            Created: Canada, ON, Mississauga

            ",,https://jobs.bce.ca/bell/job/Mississauga-Senior-Project-Manager%2C-ML-Engineering-ON/837889300/,aimasters@vectorinstitute.ai,,,,2022-02-22T22:42:00.000Z,False,0,0,39,https://talenthub.vectorinstitute.ai/jobs/105926550-senior-project-manager-ml-engineering-at-bell-canada,,expired,2022-01-26T21:19:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, +e13a134b-04dc-4a27-ae0d-b1ebd485233e,105259824,Bell Canada,"Senior Manager, Artificial Intelligence - Speech Product Manager",on_site,"Toronto, ON, Canada",2022-01-21T19:45:46.697Z,"

            At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

            -

            What You’ll Be Doing

            +

            If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team.

            +

            Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.

            -

            As a Senior Data Scientist with the Contact Centre team, you’ll apply your knowledge and experience of data modelling to solve complicated business problems and bring innovative solutions. You’ll connect and develop strong relationships with partners and analysts within Contact Centre support functions, including the Centre of Expertise and broader Enterprise groups such as, but not limited to, Finance, Chief Analytics Office, Marketing, Client Experience teams. You’ll work with real world structured and unstructured datasets to produce end-to-end solutions, taking models from experiment to deployment. As a Senior team member, you’ll share your expertise with team members to influence and grow capabilities to deliver impactful business outcomes, using judgement for decisions that may have a future yet unknown impact

            +

            This is a terrific opportunity for a seasoned professional to help transform the organization in driving one of the most significant strategic mandates within Bell. As part of the Customer Operations - Data Science team, you will have opportunities to use your data science and leadership skills to shape the next generation of AI/ML to truly transform how Bell operates.

            -

            You can effectively perform all work activities remotely, and will only be required to be on-site on an occasional basis.

            +

            The Bell Speech Technologies team is an industry leader with deep expertise in automatic speech recognition and speech analytics. You will be working with a world-class team of peers to build products and services that deliver on the promise of AI by solving complex, high-value business problems. You will work in a highly collaborative environment, and use Agile methodologies to understand, develop, and iterate on solutions that meet customer needs. Access to cutting edge speech to text and natural language tools, all within a cloud environment.

            +

            Above all, we are looking for team members with a keen sense of ownership, resilience and drive. If you like dynamic projects and enjoy being challenged, if you can make progress when faced with ambiguous requirements and uncertainty, if you enjoy moving fast (and are not afraid of making a mistake or two on the way), then we may be the perfect team for you!

            -

            How You’ll Succeed

            -

            Data Science Expertise: Under the guidance of Sr. Data Scientist or Director, conduct detailed analysis of data and provide advanced analytics solutions to solve business problem leveraging traditional statistical, machine learning and optimization techniques. Conduct guided research, typically on the non-traditional resources to solve business problems. Business Consulting: Participate in business requirements gathering and problem assessment. Gather relevant information related to business processes, functions and operations to evaluate data credibility and quality. Utilize creative thinking to select the most suitable procedure/approach that provides the optimum solutions to business problems. Conduct in-depth analysis for the purpose of identifying revenue generation and cost saving opportunities under the guidance of Sr. Data Scientist or Director. Market Relevancy: Participate in an analytics community whose goal is to foster and share analytic approaches across the enterprise. Liaise with internal and external sources, colleagues, and others to obtain, provide, verify and discuss information and best practices. Passionate innovators, creators and collaborators who are up for the challenge of building the bank of the future and delivering solutions that meet our clients’ changing needs

            +

            Job Duties/ Accountabilities:

            +
              +
            • Lead and implement speech technologies tools and models
            • +
            • Lead the development of natural language machine learning products/ models from inception to production
            • +
            • Your team’s work will span requirements gathering & architecture, coding, testing, and deploying complex machine learning-based systems
            • +
            • Leading cross functional AI/ML teams of Data Scientists, Analysts, and Labelers
            • +
            • Support a team of approximately 15 employees
            • +

            -

            Who You Are

            +

            Critical Qualifications/ Competencies:

              -
            • -You can demonstrate experience in working with large datasets including both structured and unstructured data and related tools (e.g., SQL, Databricks, Alteryx). Must have experience coding in high level programming languages such as Python or R. Must have experience developing machine Learning Models. Familiarity or experience working with contact centre data is a significant asset
            • -
            • -You’re a certified professional. You have current accreditation and good standing in in Master or PhD in Computer Science, Engineering, Mathematics, Statistics, Operational Research, Physics, Economics or related quantitative field.
            • -
            • -You\'re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends. You are experienced in manipulate and connecting data from multiple tables while maintaining data integrity
            • -
            • -You act like an owner. You thrive when you\'re empowered to take initiative, go above and beyond, and deliver results.Your influence makes a difference. You know that relationships and networks are essential to success. You inspire outcomes by sharing your expertise -
            • -
            • -You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.
            • -
            • -You love to learn. You\'re passionate about growing your knowledge. You have a strong sense of curiosity and are motivated to maintain current knowledge of rapidly evolving business environment from both leadership and technical perspectives.
            • -
            • -You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way. You can promote and explain new and innovative projects and technical/analytical/conceptual ideas in a way that can be easily understood by Executive / non-technical audiences.
            • -
            • -You are a caring and accountable leader. You’re passionate about developing and growing team members abilities. You have experience providing coaching and hands on support to meet team goals.
            • -
            • -Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability
            • +
            • Practical experience in NLP
            • +
            • Experience in developing some of the following NLP models: Text summarization, text generation, sentiment and topic analysis, named-entity recognition, etc
            • +
            • Ability to lead NLP projects
            • +
            • Hands-on experience defining and operationalizing ML models into operational systems
            • +
            • Degree in a discipline such as: Data Science, applied math, applied science / engineering, economics/econometrics, management science / operations research, or related area
            -

            What CIBC offers

              -
            • At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

            • -
            • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.
            • -
            • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
            • -
            • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.
            • +
            • 2+ years experience in strategy, planning, consulting, analytics or related disciplines
            • +
            • 2+ years of direct people management experience
            • +
            • A successful track record as a leader, developer and manager of people; demonstrated experience to attract, retain and develop strong talent and build a positive organization and team culture
            • +
            • Experience working closely with senior VP level executives across multiple business units
            • +
            • Self Motivation and drive to deliver high-quality solutions
            • +
            • Strong interpersonal skills, including the ability to collaborate across the team and work closely with stakeholders
            • +
            • Excellent written and oral communication skills (English) with a demonstrable history of developing strong partnerships and cross-team collaboration
            • +
            • Strong business acumen, with an appreciation for the opportunities and constraints that accompany an ever-evolving competitive environment
            • +
            • Proven project management and change management skills

            +

            Preferred Qualifications:

            +

            ML/NLP technical expertise (frameworks and libraries):

            +
              +
            • GCP Vertex AI Platform
            • +
            • Python development skills
            • +
            • Practical experience with NLP frameworks/libraries e.g. Gensim, SpaCy
            • +
            • Experience with general ML/Data Science tools in Python: numpy, pandas, sklearn, jupyter etc
            • +
            • Hands-on experience and expertise with different AI/ML frameworks such as Keras, Pytorch, TensorFlow, SparkML, Scikit-Learn
            • +
            • Ontology graphs, information retrieval, Elastic search
            • +
            • Computer science fundamentals
            • +
            • Database: SQL, Hadoop
            • +

            -

            What you need to know

            +

            Theoretical knowledge:

              -
            • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

            • -
            • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

            • +
            • Advanced knowledge of ML models: deep learning, reinforcement learning, and others
            • +
            • Theoretical understanding of neural networks, backpropagation, and optimization algorithms with emphasis on mathematical understanding.
            • +
            • Mathematical understanding of some ML algorithms: regression, SVM, decision trees, etc…
            • +
            • Experience with word embedding’s and or embedding quality evaluation

            +

            Bilingualism is an asset (English and French); adequate knowledge of French is required for positions in Quebec.

            +

            Additional Information:

            +

            Position Type: Management
            Job Status: Regular - Full Time
            Job Location: Canada : Ontario : Mississauga || Canada : Quebec : Montreal

            +

            Flexible work profile: Mobile
            Application Deadline: 01/30/2022

            +

            Please apply directly online to be considered for this role. Applications through email will not be accepted.

            -

            -

            Job Location

            Ontario VIRTUAL

            Employment Type

            Regular

            -

            Weekly Hours

            37.5

            Skills

            -

            Alteryx, Call Center, Databricks, Data Science, Python, Relationship Building, Structured Query Language (SQL)
            ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Ontario-VIRTUAL/Senior-Data-Scientist-with-Machine-Learning_2242226?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-12-12T17:11:04.820Z,False,0,5,19,https://talenthub.vectorinstitute.ai/jobs/172476098-senior-data-scientist-with-machine-learning-at-cibc,,expired,2022-12-01T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -a21c7bfa-854b-40e3-9df0-bcbcbbfefe71,164336447,Scotiabank,"Sr Manager, Collections Data Engineer (12 month Contract)",on_site,Canada : Ontario : Toronto,2022-11-08T17:22:02.645Z,"

            -

            -

            -

            -

            Requisition ID: 162068

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            -

            -

            Purpose of Job:

            +

            At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

            +

            +

            Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

            ",,https://jobs.bell.ca/ca/en/job/BECACA339520EXTERNALENCA/Senior-Manager-Artificial-Intelligence-Speech-Product-Manager,aitalent@vectorinstitute.ai,,,,2022-01-31T15:20:00.000Z,False,0,1,27,https://talenthub.vectorinstitute.ai/jobs/105259824-senior-manager-artificial-intelligence-speech-product-manager-at-bell-canada,,expired,2022-01-21T19:45:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Senior Manager,Bachelors Degree,New Posting, +62a519bd-8e7a-465c-8f5a-c3c40bf0d3d9,165151445,Shopify Inc.,Senior Data Science Manager - Americas-Remote,on_site,"Ontario, Canada",2022-11-10T17:42:05.629Z,"

            About the role

            We are looking for a well-rounded Senior Data Science Manager with experience in pricing and incentive optimization to own projects whose scope impacts multiple disciplines and domains at Shopify. They will be responsible for deliverables that have implications on multiple product or service lines within Shopify’s plans & pricing organization. As a Senior Manager, they will grow not just individuals, but the leaders and teams that report into them.

            +

            You will:

            +
              +
            • Use your experience in pricing optimization to define and implement plans & pricing strategies for Shopify.

            • +
            • Lead pricing and incentive experimentation work.

            • +
            • Define and guide the short-term and long-term data strategy for the money service line.

            • +
            • Partner with other functional teams such as Engineering, Product, & Design to identify unsolved user and business needs resulting in data powered solutions that scale.

            • +
            • Provide technical leadership to our data science teams and lead them as they analyze data, implement statistical techniques, create data visualizations, and build data pipelines (using Python, Spark, SQL, Mode, Tableau...etc).

            • +
            • Cultivate a data-informed culture and deliver meaningful insights that drive product roadmaps and optimize business strategies.

            • +
            • Drive excellent practices for establishing metrics & KPIs to drive cross-functional alignment.

            • +
            • Collaborate with peer leaders in the product line Data Science team (and the broader Data org) to improve and drive the group-wide Data Science & Engineering vision.

            • +
            ",,https://www.shopify.com/ca/careers/senior-data-science-manager-americas-remote_af250450-f70d-440a-83f3-57d22b3ccd75,feed-importer@jobboard.io,,,,2022-11-17T15:20:00.000Z,False,0,1,19,https://talenthub.vectorinstitute.ai/jobs/165151445-senior-data-science-manager-americas-remote-at-shopify-inc,,expired,2022-11-10T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Information and Media),Team Lead,PhD,New Posting, +1993e381-2fc7-460c-874f-777356656a49,164063829,Scotiabank,Analytics Engineer - CID&A,on_site,Canada : Ontario : Toronto,2022-11-07T17:22:02.968Z,"

            -

            GRM Retail Credit Risk Collections is leader in developing innovative solutions impacting Bank’s profitability. This is accomplished through the use of advanced analytics, collections efficiency and disciplined risk governance.

            -

            You, as a Senior Manager Collections Data Engineer, are a problem solver with a track record on programming and data management. You have strong collaboration and communication skills and great ability to manage multiple priorities in a very fast paced-entrepreneurial environment. You contribute to the success of the Collections function by defining, implementing and automating complex data processes. You are a rigorous logical thinker, curious, flexible and have great teamwork abilities. Your background and experience is on computer science, with experience in programing languages and automation.

            -

            Job Responsibilities:

            +

            Requisition ID: 166528

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            -
            • Leverage your strong programming background in order to collaborate with various business partners to:
            • Lead initiatives involving automation of data routines involving multiple legacy systems and requiring previous experience using big data tools and programing languages
            • Generate efficiencies in current analytical performance reports and existing data processes
            • Manage processes related to gathering and processing of structured and unstructured data into a form suitable for analysis (for instance writing scripts, web scraping, calling APIs, write SQL/Hive queries,etc.)
            • Deliver on descriptive analytical projects leveraging Power BI or Tableau
            • -
            +

            Purpose:

            -

            Job Requirements:

            +

            The Customer Insights, Data, and Analytics organization at Scotiabank is focused on building high-value solutions across the bank. Our organization consists of accomplished professionals who blend expertise in computer science, data, machine learning, and banking to deliver innovative projects that drive the business. A key part of success for the group is having scalable, fast, and continuously evolving data processes, and this is the responsibility of the Data Office Data Engineering team. As an integral part of the team, the Data Engineer will be responsible for all technical aspects of the data pipelines that power advanced and descriptive analytics work.

            +

            We have a dynamic work environment that will provide you with exposure to leaders in data & analytics, the opportunity to continuously learn, and support to be innovative.

            +


            KEY ACCOUNTABILITIES:

            +


            • Work with business teams across the organization (Canadian Banking, Intl. Banking, Treasury, GBM) to understand their data-driven goals
            • Partner with advanced analytics teams to build powerful data assets and processes
            • Be the subject matter expert on data driven processes, visualization workflows, and tools with which to analyze data
            • Build automated data management and data quality capabilities into projects
            • Build re-usable components to scale development across the organization, collaborating with other technical teams to streamline high-value data to the Analytics platforms
            • Build re-usable managed datasets for consumption by both revenue generating analytics and operational corporate functions (e.g. finance, risk, etc.)
            • Experiment & learn!

            +


            QUALIFICATIONS:

            +


            • Bachelor’s degree in Computer Science or Engineering, or related field or relevant experience
            • Experience with visualization tools: Power BI
            • Strong data analysis skills
            • Strong programming skills in Python, Scala, and /or Java. Experience with Spark is preferred
            • Experience working in the cloud environment is an asset
            • Experience in finance is an asset
            • Comfortable working in database environments. Experience with PostgreSQL, HDFS/Hive, BigQuery an asset
            • Exposure to Kubernetes, Airflow, Jenkins is an asset
            • Familiarity with agile tooling to efficiently build as a team: git, Jira, Confluence, etc.
            • Familiarity with data management capabilities (data registration, data quality, etc.) and ability to learn advanced data management toolsets
            • High aptitude for diving in and picking up new technologies as required
            • Eligible to work in Canada

            -
            • Master's degree in Industrial Engineer or Computer Science and background in quantitative analysis
            • Excellent communication and presentation skills: can convey messages in a clear, concise and succinct manner, select the best method of communication to influence business decisions
            • Expertise managing data through Big Data tools, and exposure to AI/ Machine Learning
            • Strong background and proven experience in automation and scripting
            • Three to five years’ experience as data engineer in banking or consumer
            • Exposure to statistical software packages such as R or SAS
            • Experience manipulating large and complex databases
            • Experience with Angos or similar platforms strongly desired
            • Results driven individual with high level of curiosity and ability to dive into details without losing sight of the big picture
            • Exceptional organization skills to prioritize, manage, and implement a variety of competing initiatives, on a concurrent or staggered basis  
            • -

            -

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Sr-Manager%2C-Collections-Data-Engineer-%2812-month-Contract%29-ON-M5H1B6/562999417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-12-10T18:54:37.882Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/164336447-sr-manager-collections-data-engineer-12-month-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Sr-Manager%2C-Collections-Data-Engineer-%2812-month-Contract%29-ON-M5H1B6/562999417/,expired,2022-11-08T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -9e646580-d51e-4f1b-9236-7435293472d0,164338037,Accenture,Data Science Senior Manager,on_site,"Toronto, ON, Canada",2022-11-08T17:29:01.640Z,"

            Job Description

            -

            We Are
            The people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Visit us to find out more about Accenture Applied Intelligence.

            -

            -

            You Are
            An expert at solving real-world challenges with data, analytics, AI and creativity. Yes, creativity! You know the theory and you have hands-on expertise from studies, experience and/or self-taught projects. As a senior manager working at Accenture you will work on a team with diverse clients and industries delivering solutions to help clients turn data into actionable insights that drive tangible outcomes, improve performance and help clients lead the market.

            -

            -

            What You’ll Do
            • Collaborate with prospective clients to solve large & complex business problems with data, analytics & AI
            • Shape narrative for sales origination and educate account teams on data, analytics, AI applicability to their industry/clients
            • Lead multiple teams and engagements to engineer & deliver value for clients
            • Play an active role building a practice including capability development, recruitment, and mentorship
            • Help drive the innovation agenda, including thought leadership publication
            • Stay abreast of technologies, academic research & hands-on techniques for cloud, data, analytics & AI

            ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00129048_en&title=Data+Science+Senior+Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2022-12-10T18:56:35.203Z,False,0,6,31,https://talenthub.vectorinstitute.ai/jobs/164338037-data-science-senior-manager-at-accenture,,expired,2022-11-08T17:29:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Masters Degree,New Posting, -ae20de27-27f1-4e0c-ba7b-70f5b5e9b419,181831455,TD Bank Group,Data Scientist II,on_site,"Toronto, ON",2022-12-29T17:24:02.513Z,"
            -

            Company Overview

            -
            -

            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

            -

            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

            -
            +

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Analytics-Engineer-CID&A-ON-M5C2V9/564851217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-11-17T15:22:00.000Z,False,0,4,17,https://talenthub.vectorinstitute.ai/jobs/164063829-analytics-engineer-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Analytics-Engineer-CID&A-ON-M5C2V9/564851217/,expired,2022-11-07T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, +eb36baea-047d-4969-a310-1802bb3e27ee,167813684,OMERS,Senior Data Analyst (PowerBI),on_site,"Ontario, Canada",2022-11-16T17:42:03.459Z,"
            OMERS Products and Technology is looking for Data Analyst passionate about all sides of data analytics and eager to build a data visualizations for our pension Data Engineering team. The individual should be extremely motivated and want to constantly learn and apply new technologies. In this role, the qualified candidate is expected to drive actionable insights.

            -

            Department Overview

            -
            -

            What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

            -

            As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

            -

            TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

            -
            -

            -

            Job Description

            -
            -

            -

            About this Role

            -

            While you are a natural leader, you don’t mind getting your hands dirty. And in your role, you will simultaneously work to create data related solutions to drive business results, while working with senior leadership to communicate timelines and progress and identify business opportunities. You are not only a functional expert, you also possess broad managerial experience and specialized knowledge of regulatory and industry frameworks, using that knowledge to inform development cycles and develop industry leading analytic solutions. Most of all, your work ethic and thought leadership inspires your team to innovate with purpose, execute with speed, collaborate to deliver world-class data solutions and ultimately become leaders themselves.

            -

            We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work enterprise wide.

            -

            As a Data Scientist II, these are the essential qualifications of this role:

            +

            As a member of this team, you will be responsible for:

              -
            • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core work you’re doing
            • -
            • Work closely with business owners to find opportunities and serve as an ambassador for data science
            • -
            • Design and deliver enterprise analytic solutions for customers
            • -
            • Develop powerful business insights from social, marketing and industrial data using advanced machine learning techniques
            • -
            • Build complex statistical models that learn from and scale to petabytes of data.
            • -
            • Analytical thought leadership and staying ahead of developments in data mining and the application of data science
            • -
            • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
            • -
            • Generally accountable for a significant business management area that typically has enterprise wide impact or accountability
            • -
            • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
            • +
            • Interpreting data, analyze results using statistical techniques and provide regular, timely, accurate reports and dashboards
            • +
            • Gathering business requirements and documentation following Agile Practices
            • +
            • Work with Product Managers and Stakeholders to prioritize business data needs
            • +
            • Locate and define new process improvement opportunities
            • +
            • Enable business users to bring data-driven insights into their business decisions through reports and dashboards
            • +
            • Understand and communicate complex business concerns and solutions in clear and concise manner
            • +
            • Identify, analyze, and interpret trends or patterns in complex data sets
            • +
            • Filter and clean data as part of each development initiative
            • +
            • Develop Power BI semantic models, dashboards and reports
            -

            -

            Requirements

            -
            -What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

            -
            -Must have:

            -
              -
            • Undergraduate degree or technical certificate
            • -
            • Two or more years of relevant experience
            • -
            • High proficiency in Python, PySpark and its essential libraries.
            • -
            • Experience with relational databases and usage of SQL​​​​​​​
            • -
            • -Communication, business acumen, people management and stakeholder management competencies​​​​​​​
            • -
            -

            Nice to have:

            +

            To succeed in this role, you have:

              -
            • Familiarity with cloud solution architecture, Azure a plus
            • -
            • Alteryx or Tableau
            • +
            • Must have 5+ years of Hands on experience with Data Modeling, Power BI desktop, Power Query, Azure Data Factory and Azure SQL Server
            • +
            • Must have experience working with one or more programming, scripting, and analytical languages such as DAX, MDX, T-SQL, Python, PowerShell
            • +
            • Must have experience building semantic data modeling and publish datasets accordingly
            • +
            • Understanding row level, object level security rules and roles in projects and workspaces is an asset.
            • +
            • Experience working with Power BI external tools such as Tabular Editor, DAX studio and Vertipaq Analyzer is an asset.
            • +
            • Good Understanding of Data Warehouse concepts
            • +
            • Ability to design and build reports, dashboards, data visualizations and analytics using Power BI
            • +
            • Ability to write complex queries using SQL.
            • +
            • Proven Hands on experience with Azure DevOps deployment Pipelines.
            • +
            • Good Knowledge and understanding of Data Governance and Security Measures.
            • +
            • Experience with SSIS is an asset
            • +
            • Good hands on experience working with streaming data.
            • +
            • Have experience in Analyzing the BI needs, interpreting business user requirements and translating them into reports.
            • +
            • Knowledge of statistics and experience using statistical packages for analyzing datasets.
            • +
            • Strong analytical skills with the ability to collect, organize, analyze, and visualize the data.
            • +
            • Strong written and verbal communication skills
            • +
            • Ability to handle multiple tasks concurrently
            • +
            • Ability to take initiative, multi-task and work in an agile environment
            • +
            • A team player and motivated self-starter
            • +
            • Bachelor’s Degree in Computer Science, Engineering or a related technical field
            -
            -

            -

            Additional Information

            -
            -#LI-Hybrid #datascientist

            -

            Hours

            -
            37.5

            -

            Inclusiveness

            -

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            -
            ",,https://jobs.td.com/en-CA/jobs/17156216/data-scientist-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-24T17:29:03.629Z,False,0,18,57,https://talenthub.vectorinstitute.ai/jobs/181831455-data-scientist-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17156216/data-scientist-ii-toronto-ca/,expired,2022-12-29T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -115da144-d293-4921-9b4b-c498a91c7abb,188133661,Scotiabank,Velocity - Finance Internship/Co-op - Summer 2023 (8 months),on_site,Canada : Ontario : Toronto,2023-01-18T17:22:05.314Z,"

            -

            -

            -

            -

            Requisition ID: 169647

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            -

            -

            Term: May-December 2023

            -

            Application Deadline: 01/23/2023

            -

            -

            There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

            -

            -

            The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

            -

            -

            Is this role right for you? In this role, you will:

            -
            • Update/validate formulas in planning and reporting.
            • Populate reporting templates with actual results and ensure completeness.
            • Data analysis projects related to various business initiatives.
            • Assist in the preparation of summary information packages to communicate to leadership.
            • Work on the ongoing tracking/reporting of financial metrics.
            • -
            -

            -

            Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

            -
            • You are currently enrolled in post-secondary education.
            • You love to learn and envision yourself working for an international organization that heavily invests in your future.
            • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions.
            • You are a highly self-motivated individual with strong time-management skills.
            • You have an analytical mindset and investigative abilities.
            • You have strong written and verbal communication skills.
            • You are proficient in Microsoft Office – particularly Excel, Word, and PowerPoint.
            • You understand PowerBI, SAS, SQL or Tableau.
            • -
            -

            -

            What’s in it for you?

            -
            • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
            • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
            • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
            • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
            • -
            -

            -

            How do I apply?

            -

            For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationshipsover resumes and are focused on learning about who you are and what youre interested in to uncover your true potential.Instead,we ask that as part of your application you complete the below:

            -

            -
            1. Complete your PLUM Profile here and save as a screenshot.
            2. -
            -
            1. Complete a short one-way video interview here.
            2. -
            -
            1. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
            2. -
            -

            -

            *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

            -

            -

            -

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Finance-InternshipCo-op-Summer-2023-%288-months%29-ON/566048717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-24T17:27:03.649Z,False,0,3,10,https://talenthub.vectorinstitute.ai/jobs/188133661-velocity-finance-internship-co-op-summer-2023-8-months-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Finance-InternshipCo-op-Summer-2023-%288-months%29-ON/566048717/,expired,2023-01-18T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -acf54dc8-a822-4ced-9d33-62dd02e6a079,183865792,TD Bank Group,Data & Analytics: Events and Communications Intern/Co-op,on_site,"Toronto, ON",2023-01-05T17:24:05.066Z,"
            -

            Company Overview

            -
            -

            All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

            -

            Why TD?

            -

            TD’s Colleague Promise: A better you. A better us.

            -

            A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

            -
            +

            Our story:

            +

            Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $121 billion in net assets as at December 31, 2021. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

            +

            +

            OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

            +

            +

            +

            Vaccination Policy

            +

            +

            At OMERS and Oxford the office or worksite is our primary place of work. We are committed to providing work environments which promote the health, safety and well-being of all employees in accordance with public health regulation and guidance. Accordingly, employees are required to provide evidence of full vaccination or have an approved exemption.

            +
            ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Senior-Data-Analyst_JR-3169-1?q=analytics+ontario,feed-importer@jobboard.io,,,,2022-12-16T17:47:00.000Z,False,0,4,29,https://talenthub.vectorinstitute.ai/jobs/167813684-senior-data-analyst-powerbi-at-omers,,expired,2022-11-16T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +0dcb291b-3994-4eb9-9ca3-fd67daabd73d,176167056,Vector Institute,"Postdoctoral Fellows Research · Toronto, Ontario",on_site,"Ontario, Canada",2022-12-11T17:40:02.264Z,"

            -

            Department Overview

            -
            -

            Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

            -

            Our Co-op/Intern Programming is offered with select Co-op and Internship roles, and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

            -
              -
            • Leadership talks with key Leaders from across the organization
            • -
            • Lunch and Learns on topics such as Innovation
            • -
            • Diversity and Inclusion and Personal Branding and so much more
            • -
            -

            -

            Job Description

            -
            -

            JOB DESCRIPTION

            -

            We are looking for Events & Communications Co-op/Intern that will be accountable for supporting communications and planning initiatives for Enterprise Data & Analytics. The analytics and data science teams across the bank are responsible for transforming TD into a data-driven organization. We are looking for someone who will be an ambitious and dedicated contributor to our teams. Not only is this an opportunity for promising career growth, but meaningful work awaits both on business and technology fronts.

            -

            The Events & Communications Co-op/Intern will perform a variety of activities, which may include:

            -
              -
            • Assisting with executing communication plans, tactics, and ongoing activities.
            • -
            • Collaboration on the engagement strategy execution – including support on coordination, promotion, registration, tracking, and other communication or logistical support of events for the D&A community (i.e. spotlights, workshops, summits, info sessions, etc.)
            • -
            • Key support on the monthly D&A Community newsletter, including editorial planning, content generation, layout, and distribution support
            • -
            • Supporting communications and event planning for the ED&A team, including town halls, key milestone events, reward & recognition programs and events, employee engagement initiatives, and ad-hoc meetings.
            • -
            • Providing creative design and writing support for communications pieces such as newsletters, PowerPoint decks, branded emails, online articles, etc.
            • -
            • Tracking communications projects and metrics.
            • -
            • Addressing ad-hoc requests and process improvement opportunities.
            • -
            -

            -

            Requirements

            -
            -JOB REQUIREMENTS

            -

            Assigned Line of Business Requirements

            +

            POSITION OVERVIEW

            +

            +

            Are you an early career researcher with the potential to become a world-class machine learning scientist? The Vector Institute invites applications for Postdoctoral Fellows who are working on cutting-edge fundamental research in machine learning and deep learning algorithms and their applications.

            +

            +

            Our areas of research include:

              -
            • Currently enrolled in a recognized post-secondary program, majoring in Communications, Marketing, Public Relations or related with the intent of going back to school at the start of your work term.
            • -
            • Exceptional communication skills.
            • -
            • Excellent writing and editing skills and the ability to develop materials that will make an impact at TD.
            • -
            • Strong attention to detail and ability to deliver high quality work under tight timelines.
            • -
            • Previous events experience.
            • -
            • Strong skills in MS Office, preparing presentations, web publications, internal and external social media.
            • +
            • Computer Vision
            • +
            • Generative Models
            • +
            • Healthcare – computational biology, genomics
            • +
            • Natural Language Processing
            • +
            • Optimization
            • +
            • Reinforcement Learning
            • +
            • Statistical Learning Theory
            • +
            • Sequential Decision Making
            • +
            • Security, Privacy & Fairness
            • +
            • Quantum Computing
            -

            ** Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting.

            -

            The following would be an asset, but not required:

            +

            +

            The standard term for a Postdoctoral Fellow position is 1–2 years, with a possible extension to 3 years. Also available is the opportunity for eligible individuals to complete a placement at Vector before going on to take a faculty role elsewhere.

            +

            +

            RESPONSIBILITIES

            +

            +

            Postdoctoral Fellows at the Vector Institute are early career researchers with the potential to become world-class researchers. Like postdoctoral researchers in a university lab, Postdoctoral Fellows at the Vector Institute are tasked with and supported in carrying out state-of-the-art research, publishing at the highest international level, and contributing to the academic life and reputation of the Institute. The Vector Institute offers a dynamic environment, and research freedom and opportunity to collaborate within and across research areas. They are part of a thriving research community of over 500 Vector Faculty Members, Faculty Affiliates, Postgraduate Affiliates, Postdoctoral Fellows, and graduate students.

            +

            +

            Postdoctoral Fellows at the Vector Institute have access to the resources of a well-funded institute dedicated solely to machine learning and deep learning, and are encouraged to work with any of our over 30 world-class faculty in machine learning and deep learning, though they will work primarily with 1–2 faculty members.

            +

            +

            They will be expected to propose work on research topics of their interest related to machine learning and deep learning and carry out that research with a great deal of independence. Should they be so inclined, Postdoctoral Fellows may teach and mentor at the Institute; engage in entrepreneurial activities; and/or work with existing companies to enhance their research. They have the ability to collaborate with the graduate students of the machine learning group at the University of Toronto, as well as the graduate students of other affiliated faculty, who spend the bulk of their time at the Institute.

            +

            +

            ABOUT VECTOR

            +

            +

            The Vector Institute is an independent non-profit corporation, with Faculty Members and Affiliates from the University of Toronto, University of Waterloo, and other Canadian universities. It is supported with generous funding from the provincial and federal governments, as well as Canadian industry sponsors.

            +

            The Vector Institute is located in the MaRS Discovery District building, spanning nearly the entire 7th floor and overlooking downtown Toronto and the beautiful Queen’s Park. On any given day, the Vector Institute houses over a hundred students, dozens of Faculty Members, supported with state-of-the-art compute power, and dedicated professional staff. The daily life and concentration of expertise in the Institute fosters collaboration and the exchange of ideas among its members through talks, seminar series, visitors, and tutorials.

            +

            The Vector Institute’s vision is to drive excellence in the creation of artificial intelligence, to use it to foster economic growth, and to improve the lives of Canadians. To that end, the Vector Institute has close ties to both academia and industry. This puts our Postdoctoral Fellows in a unique position to contribute broadly. A successful contribution can range from developing core algorithmic techniques and theoretical analyses of machine learning algorithms, to working closely with existing companies and health organization, to engaging in entrepreneurial activities.

            +

            +

            In addition to their research, Postdoctoral Fellows have the opportunity to work with industry to develop machine-learning-based solutions for their problems or engage in related entrepreneurial activities. We have dedicated staff facilitating all aspects of engaging with Vector sponsors and affiliated institutions, as well as close ties to incubators for entrepreneurial activities. The Vector Institute has extensive access to computing resources and datasets. We have a team of AI Engineers who help improve research productivity through software platform development, ensuring research reproducibility, publishing open source code and data, and in readying code for commercial use.

            +

            +

            WHO SHOULD APPLY?

            +

            +

            We are looking for people with interests across a broad spectrum from core machine learning or deep learning research to more applied and entrepreneurial activities. We are also looking for people who have excelled in other areas and are interested in moving into deep learning or machine learning more broadly.

            +

            +

            REQUIREMENTS

            +

              -
            • Advanced PowerPoint experience: someone who can take a concept and illustrate it on paper.
            • -
            • Experience with graphic design, photo editing and video production.
            • +
            • PhD or equivalent in Computer Science, Statistics, Electrical Engineering, or a closely related field. You must have completed all requirements of your doctoral degree no more than three years before the application deadline;
            • +
            • An excellent publication record in machine learning;
            • +
            • Expertise in a core area of machine learning, such as deep, unsupervised, and reinforcement learning, optimization, and theory; and/or applied machine learning, such as natural language, health, vision, robotics, medicine, biology, transportation, media, and finance;
            • +
            • For those looking to pivot to machine learning from a field with technical overlap, we are looking for an excellent publication record in your field as well as expertise in an area with some potential relevance to machine learning.
            -
            +

            +

            APPLICATION REQUIREMENTS

            +

            +

            Please note that all documents have to be converted and merged into a single PDF document and uploaded as one PDF file.

            -

            Additional Information

            -
            -

            ADDITIONAL INFORMATION
            Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.

              -
            • This position is a 4-month work term and will commence May 1st, 2023 – August 25th, 2023
            • -
            • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
            • -
            • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
            • -
            • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
            • -
            • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
            • +
            • A cover letter, including identifying a Vector Faculty Member as potential supervisor. We encourage applicants to contact Faculty Members before submitting their application.
            • +
            • +A curriculum vitæ. +
            • +
            • Links to at least three recent publications.
            • +
            • A research statement outlining a proposed program of research.
            -

            ADDITIONAL INFORMATION

            -

            ADDITIONAL INFORMATION

            -

            HOURS
            Monday-Friday, standard business hours

            -

            INCLUSIVENESS
            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            -

            -

            Hours

            -
            37.5
            +

            Reference Letters

            -

            Start Date

            -
            – Summer
            +
            • +Three reference letters. One referee should be your PhD supervisor. If referees prefer to submit reference letters directly, they can be sent to research@vectorinstitute.ai. +

            -

            Inclusiveness

            -

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            -
            ",,https://jobs.td.com/en-CA/jobs/17554297/data-analytics-events-and-communications-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-27T17:29:07.671Z,False,0,10,44,https://talenthub.vectorinstitute.ai/jobs/183865792-data-analytics-events-and-communications-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17554297/data-analytics-events-and-communications-intern-co-op-toronto-ca/,expired,2023-01-05T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -77a36ec7-0441-4942-916c-deda166a7ea5,183865806,TD Bank Group,Business Insights Analyst Co-op,on_site,"Toronto, ON",2023-01-05T17:24:06.454Z,"
            -

            Company Overview

            -
            -

            All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

            -

            Why TD?

            -

            TD’s Colleague Promise: A better you. A better us.

            -

            A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

            -
            -

            -

            Department Overview

            -
            -

            The Governance & Control team is responsible for managing the overall risk management and governance for TD Wealth. The team is responsible for ensuring timely and consistent implementation – across the Wealth businesses – of all risk, control and governance programs, initiatives, policies and standards.

            -

            The Performance Integrity & Analytics team is responsible for promoting a sustained culture of integrity and ethics by embedding Conduct Risk management in TD Wealth business practices. Our team is responsible for the enabling and enhancing a conduct monitoring program with an end-to-end closed loop process to oversee, remediate and strengthen Conduct Risk and Sales Practices.

            -

            -
            -

            -

            Job Description

            -
            -

            The role reports to the Senior Manager, Performance Integrity & Analytics.

            -

            The Co-Op Business Insights Analyst, Performance Integrity & Analytics is responsible for supporting the broader Performance Integrity team and is responsible for the sales practice and conduct risk monitoring. This role will provide the successful candidate with a unique opportunity to leverage their analytical skills, and participate in high profile Governance & Control initiatives, as well as interact with teams across the organization including Human Resources, Compliance, Legal, and others. We are looking for a self-motivated and innovative individual who excels in a cross-functional and high impact team.

            -

            -

            Primary Responsibilities could include:

            -
              -
            • Participate in investigations into potential performance integrity concerns. Use Wealth and enterprise data sources and systems to analyze data, identify trends, and communicate and report investigation results to help protect TD’s customers, employees, and shareholders. Escalate concerns to the Performance Integrity management team as required

            • -
            • Translate complex scenarios into actionable data selection criteria to investigate potential issues.

            • -
            • Partner with Governance & Control and businesses to propose recommended changes to policies, procedures, and system enhancements to address potential gaps

            • -
            -
              -
            • Contribute to the development of Performance Integrity processes and controls; identify gaps and opportunities to further enhance controls

            • -
            • Provide reporting and recommendations to Wealth Governance & Control executives on Performance Integrity matters, identified gaps and any emerging trends across distribution channels

            • -
            • Partner with other stakeholders across TD Wealth and beyond to ensure a coordinated approach to managing and documenting performance integrity issues

            • -
            • Prepare high-quality presentation materials and reporting

            • -
            • Provide insights on sales conduct and practice issues, and represent the Performance Integrity team on projects and initiatives

            • -
            -
              -
            • Effectively manage ad-hoc projects or tasks of varying complexities within established deadlines

            • -
            • Foster an environment and culture that encourages productivity, innovation, process improvement, teamwork, and a high level of professionalism

            • -
            -
            -

            -

            Requirements

            -
            -

            Qualifications/Skills/Experience:

            -
              -
            • The ideal candidate should have an interest/background in wealth management businesses and their various products, systems, processes, and applications and/or a business analysis/reporting function would be assets

            • -
            • Strong analytically-anchored problem-solving skills, solid background working with data and conducting analysis or planning complex data flows and processes – a logical and strategic thinker with strong critical reasoning skills

            • -
            -
              -
            • Strong interpersonal skills, able to build relationships, effectively interact, influence, and motivate individuals at all levels of the organization to make an impact

            • -
            • Superior communication skills with proven ability to communicate quantitative/ qualitative information and key messages in a clear and compelling way (tell a story from the numbers) that is flexible to suit different audiences, from field-office to executive-level

            • -
            • Detail oriented with excellent organization skills and ability to effectively manage work under tight timelines and changing priorities

            • -
            • Self-motivated, resourceful team player with high energy and ability to work independently while handling high degree of ambiguity, changing priorities and timelines

            • -
            • Comfortable leading through transformational change and recognized as a champion for continuous improvement

            • -
            -
            • Exceptional personal integrity in order to manage access to sensitive information about risks, results, people, and other

            -

            -

            Education

            -
              -
            • Working towards an advanced university degree in Data Analysis, Statistics, Mathematics, Engineering, Economics, or other analytically based discipline

            • -
            • Working towards a professional business designation (CFA, CA, etc.) is an asset

            • -
            -

            -

            Technical Knowledge/Skills

            -
              -
            • Strong skills with mining, accessing, and analyzing large amounts of data and programming skills (e.g., SQL, Python, R, VBA, SAS, EDW) are an asset

            • -
            • Strong skills in Tableau and other visualization tools is considered an asset

            • -
            • Strong skills with Excel and other Microsoft products

            • -
            -

            -

            Skills Category:

            -

            Analytical skills, Business intelligence, Computer skills, Effective communication, Interpersonal skills, Organizational intelligence, Relationship management, Time management

            -
            -

            -

            Additional Information

            -
            -

            Early Talent Requirements

            -

            -
              -
            • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
            • -
            • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
            • -
            • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements.
            • -
            -
            -

            -

            Hours

            -
            37.5
            -

            -

            Start Date

            -
            – Summer
            -

            -

            Inclusiveness

            -

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            -

            -
            ",,https://jobs.td.com/en-CA/jobs/17549822/business-insights-analyst-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-27T17:29:07.671Z,False,0,5,27,https://talenthub.vectorinstitute.ai/jobs/183865806-business-insights-analyst-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17549822/business-insights-analyst-co-op-toronto-ca/,expired,2023-01-05T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -eae302ba-a15a-433b-aec6-359b4c5718ef,188134976,Sun Life Financial,Data Analyst,on_site,"Ontario, Canada",2023-01-18T17:41:03.905Z,"
            -

            You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

            +

            DEADLINES

            +

            October Cohort

            +

            To be considered for the October cohort application and reference letters must be received in full by October 31st. Any applications received after this date will be added to the next cohort.

            -

            Job Description:

            +

            February Cohort

            +

            If you wish to be considered for the February cohort application and reference letters must be received in full by February 28th. Any applications received after this date will be added to the next cohort.

            -

            Role Summary

            +

            June Cohort

            +

            To be considered for the June cohort application and reference letters must be received in full by June 30th. Any applications received after this date will be added to the next cohort.

            -

            Founded in Canada in 1865, Sun Life has been a trusted name for generations, serving millions of Clients in Canada, the United States, Asia, the U.K. and other parts of the world.

            +

            The Hiring Committee reviews applications on a rolling basis three times a year: November, March, and July.

            -

            To support the vision of helping Canadians live healthier lives, Sun Life has launched a new business named Sun Life Health that brings together Sun Life’s Group Benefits and Lumino Health (an innovative platform launched in 2018). By uniting these two groups, Sun Life Health can deliver on transformative health solutions for both Clients and Canadians.

            +

            Please submit applications, using the link provided, ensuring all required materials are included in one PDF document.

            -

            Lumino Health is the foundation of that health strategy, which enables Canadians to find health-care resources and providers (dentists, physiotherapists, massage therapists, chiropractors, and more). For these providers, Lumino Health is a new way to market their practice and connect with more patients. To learn more about Lumino Health, visit https://luminohealth.ca/

            -

            The Data Science & Analytics team plays a critical role in the execution of the Sun Life Health strategy, and works very closely with the different digital portfolios part of Sun Life Health, including Lumino.

            +

            INTERVIEWS

            -

            The Data Science & Analytics team is responsible for:

            -
              -
            • Being the analytics translators to identify high-impact data science use cases

            • -
            • Building dashboards and reports to monitor progress and help extract valuable insights from vast amounts of data

            • -
            • Partnering with other Analytics/IT groups to leverage expertise of Data Scientists/Data Engineers/Developers to explore and solve complex business problems

            • -
            • Supporting various teams within Sun Life Health to leverage best practices associated with data management and develop processes that support data driven decision making

            • -
            +

            Please note that all interviews are currently being held remotely due to the ongoing COVID-19 pandemic.

            -

            The Data Analyst’s primary focus is on providing reporting for operational decision making, maintaining data models, leveraging analytical skills to highlights trends and insights from data. In this role, you will use data to generate business insights and provide meaningful suggestions on opportunities for improvements. You will be involved in gathering requirements, development, data investigation, modeling and analysis, documentation, delivery, and implementation of various business projects.

            +

            We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs.

            -

            What Will You Do?

            -
              -
            • Create and maintain ETL processes, dashboard and reports that can be leveraged to find insights

            • -
            • Develop analysis and reporting tools to support requests for analytical services

            • -
            • Participate in the technical design, development, and testing of analysis/reports and in the creation of user documentation and processes

            • -
            • Develop and present reporting solutions to key stakeholders and partners

            • -
            • Learn about business processes in order to analyze, interpret, and advise managers on analytical findings

            • -
            • Collaborate with stakeholders to ensure effective use of reporting and analysis, and provide support if needed

            • -
            • Understand and incorporate technology best practices with a primary focus on Tableau and Python.

            • -
            • Diligently perform quality assurance and risk assessment guidelines to minimize operational, reputation, and legal risk

            • -
            +

            Achieving a more equitable, diverse and inclusive research institute is essential to creating excellent, innovative, and impactful research. The Vector Institute is committed to employment equity and diversity in the workplace and welcomes applications from women, racialized persons/visible minorities, Indigenous peoples, persons with disabilities, and 2SLGBTQIA+ persons. Should you wish to self-identify, please indicate this in your cover letter. All qualified candidates are encouraged to apply.

            -

            What Do You Need To Succeed?

            +

            Further, we are committed to fostering an environment of inclusivity and accessibility. If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

            +
            ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=136&source=bamboohr&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2023-01-11T20:54:25.277Z,False,0,1,50,https://talenthub.vectorinstitute.ai/jobs/176167056-postdoctoral-fellows-research-toronto-ontario-at-vector-institute,,expired,2022-12-11T17:40:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Fellowship,PhD,New Posting, +afa1a63b-5d26-4c52-a5df-7411087ef8c3,178993688,Sun Life Financial,"Director, Management Reporting, Finance Data & Analytics",on_site,"Ontario, Canada",2022-12-19T17:41:03.660Z,"
            +

            You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

            +

            +

            +

            Job Description:

            +

            +

            Role Summary

            +

            As part of our journey to modernize and drive efficiencies across the Finance function, the Finance Data and Analytics team within Corporate Finance Operations plays an important role being responsible for digital management reporting including the effective use of BI tools, the supporting underlying data storage and integrity, and business data models.

            +

            As a member of the Data and Analytics team and reporting to the AVP Finance Data and Analytics, this Director will be responsible for a team that will build out, maintain and optimize the central data and Management Reporting Dashboards (MRD) used across all business groups for critical financial reporting analysis integrated with actuarial and business processes. This role will be crucial in driving consistency, quality and reducing redundancies across Finance, while leveraging tools and technology to automate activities and digitize self serve visualization reporting.

            +

            +

            What will you do?

              -
            • Minimum of 2 years experience in SQL and Python

            • -
            • Experience with creating and maintaining visualizations and dashboards in Tableau, or any other visualization tool

            • -
            • Technical mindset with an undergraduate/masters degree, preferably in Computer Science, Statistics, Mathematics, Engineering, or 2-5 years of business experience in related field

            • -
            • Familiarity with machine learning applications

            • -
            • Experience working with relational databases and creating data models with efficient design

            • -
            • Strong problem solving and analytical skills

            • -
            • Demonstrated ability to produce meaningful results from data

            • -
            • Proven experience consolidating and analyzing data sources

            • -
            • Excellent written and verbal communication skills with experience in relaying complex concepts to non-technical users

            • -
            • Comfortable learning new applications quickly with minimal direction

            • -
            • Proven ability to work collaboratively within a cross functional team environment

            • -
            • Ability to succeed in a dynamic, fast-paced environment, and quickly find alternative solutions to business and data challenges

            • -
            • Attention to detail and in-depth planning, organizational and time management skills

            • -
            • Experience with AWS SageMaker would be an asset

            • +
            • Oversee in partnership with Digital Business Technology and Solutions (DBTS), the development, production, and support of the suite of Management Reporting Dashboards (MRD)

            • +
            • Identify new use cases, prioritize and then oversee in partnership with Digital Business Technology and Solutions (DBTS), the development, production, and support of such.

            • +
            • Collaborate and partner with DBTS to build out technical capabilities and consistent practices

            • +
            • Management and oversight of integrating high-quality data securely and accessible by users

            • +
            • Work closely with the business areas and product owners to gather requirements and other use cases, and implement solutions that will reduce redundancies, improve transparency, and increase efficiencies

            • +
            • Leverage Tableau (Business Intelligence (BI) tool) and other technologies to unify multiple data sources, automate and improve operational efficiencies, and drive for the delivery of self-serve reporting

            • +
            • Accountable, where applicable, for Tableau technical design and visual best practices, development, testing and delivery

            • +
            • Build a high-performance team, working to transfer both knowledge of the business as well as technical skills

            • +
            • Prepare and present materials for senior management and other key stakeholders with recommendations and progress updates

            • +
            • Foster a culture of ownership, innovation, and continuous improvement

            -

            Unique Requirements

            +

            What do you need to succeed?

              -
            • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

            • -
            • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

            • +
            • 7+ years hands-on experience with delivering reporting solutions using BI tools and data management

            • +
            • Bachelor’s degree in a related field, math, Actuarial and/or Finance (professional designation is an asset but not a requirement)

            • +
            • Skilled in visualization and dashboard design (transforming data into actionable information)

            • +
            • Expert knowledge of data quality control and assurance best practices

            • +
            • Advanced knowledge of various technology reporting solutions (BI and reporting tools – ideally Tableau, relational database management, ETL tools and processes, Microsoft Office)

            • +
            • Previous relevant experiences or an equivalent combination of education and experience with financial reporting and/or actuarial function

            • +
            • Excellent leadership and team building skills

            • +
            • Ability to work independently and collaborate effectively across multiple business areas and at all levels

            • +
            • Drives results through process optimization from inception to completion and aligns work to outcomes

            • +
            • Advanced experience in requirements gathering (workshops, building dashboard prototypes)

            • +
            • Strong analytical and problem-solving skills

            • +
            • Excellent written and verbal communication skills

            What\'s In It For You?

            @@ -55046,11 +62032,13 @@ eae302ba-a15a-433b-aec6-359b4c5718ef,188134976,Sun Life Financial,Data Analyst,o
          • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

          • Named “Best Places to Work” by Glassdoor - 2021

          • Canada Award for Excellence for Mental Health at Work - 2021

          • -
          • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid #LI- Remote

          • +
          • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid #LI-Remote

          • Competitive salary and bonus structure influenced by market range data

          • Pension, stock and savings programs to help build and enhance your future financial security

          • A friendly, collaborative, and inclusive culture

          • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

          • +
          • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

          • +
          • A common sense dress code, where you decide how you dress based on your day

          • The opportunity to move along a variety of career paths with amazing networking potential

          • @@ -55064,101 +62052,31 @@ eae302ba-a15a-433b-aec6-359b4c5718ef,188134976,Sun Life Financial,Data Analyst,o

            We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

            -

            Salary Range:

            53,300/53 300 - 86,300/86 300

            +

            Salary Range:

            105,000/105 000 - 165,900/165 900

            Job Category:

            Advanced Analytics

            -

            Posting End Date:

            25/01/2023
            ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Data-Analyst_JR00073801-1?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-01-27T17:46:02.317Z,False,0,12,43,https://talenthub.vectorinstitute.ai/jobs/188134976-data-analyst-at-sun-life-financial,,expired,2023-01-18T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -abca9e23-5261-46f8-a270-9b6f8c8358b5,163233044,Loblaw Companies Ltd.,Data Scientist,on_site,"Brampton, ON, Canada",2022-11-04T19:11:56.553Z,"

            Referred applicants should not apply directly to this role.

            -

            All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

            -

            Location:

            -

            1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5

            -

            At Loblaw, we help millions of Canadians get through their best days, worst days, celebration days, and every day. Through our innovation and quality products, we’re here for our friends, neighbours, family members and colleagues.

            -


            We succeed through collaboration and commitment and set a high bar for ourselves and those around us.

            -


            We’re looking for adaptable people who are thrilled to join us in our goal of helping Canadians Live Life Well®. Whether you are just starting your career, re-entering the workforce, or looking for a new job, this is where you belong. We promote leaders at every level and support our people to follow their passion.

            -

            -

            Data Scientist

            -

            The R&D team within the Health Data Products & Services (HDPS) unit at Loblaw is hiring a Data Scientist. Our team explores vast amounts of pharmacy data to develop insights and models to empower Canadians to take better control of their health, enable more access to health services, and improve health outcomes.

            -

            Successful candidate is a problem-solver in health and experienced in using sophisticated AI/ML tools. The candidate will demonstrate strong analytical and critical thinking skills and be a phenomenal teammate who is motivated to take part in providing analytic solutions to improve and transform various aspects of our enterprise health businesses including pharmacy and clinics.

            -

            -

            What you will be doing:

            -
              -
            • Data cleansing/transformation (ETL)
            • -
            • Extracting deep insights, visualizations, and training ML models
            • -
            • Documenting your work, presenting and reporting results to business
            • -
            • Work collaboratively with various stakeholders in Pharmacy and Front Store Analytics on cross functional projects and initiatives
            • -
            -

            -

            You will need:

            -
              -
            • A degree in an analytical or quantitative field such as computer science, applied mathematics/statistics, engineering, physics, computational chemistry, etc
            • -
            • 1-2 years work experience in health analytics and machine learning
            • -
            • Strong background in statistical analysis methods such as Regression, Classification, Clustering, and Neural Networks
            • -
            • Extensive experience using Databases, SQL, Python, Scikit-learn, and Pandas
            • -
            • Good written and verbal communication skills with the ability to clearly articulate complex ideas in a concise manner
            • -
            • Experience using collaborative coding and version control (GitHub, GitLab)
            • -
            • A passion for solving problems in healthcare using analytics and machine learning tools
            • -
            -

            -

            Nice to have:

            -
              -
            • Solid understanding of Graph Neural Networks, NLP, time-series forecasting, Spark pipelines
            • -
            • Experience with data visualization tools such as Looker, Plotly, Tableau, and/or Seaborn
            • -
            • Familiarity with GCP, Confluence, JIRA, MLflow, or similar tools
            • -
            -

            #LI-Hybrid

            -

            What Loblaw Offers You

            -

            We offer flexibility and balance, and an encouraging environment that sets you up for success. We work collaboratively to embrace innovative and exciting technologies aspiring to improve the health of our customers, and help Canadians live life well.

            -

            -

            Loblaw colleagues also enjoy:

            -
              -
            • Hybrid work (work from home and remote)
            • -
            • Work Perks Program
            • -
            • Tuition Reimbursement & Online Learning
            • -
            • Pension & Benefits
            • -
            • Paid Vacation
            • -
            -

            -

            Loblaw is committed to sustainability by sourcing products with integrity and making a positive difference in the community. Our CORE Values – Care, Ownership, Respect and Excellence – guide all our decision-making and come to life through our Blue Culture. We offer our colleagues progressive careers, comprehensive training, flexibility, and other competitive benefits – these are some of the many reasons why we are one of Canada’s Top Employers, Canada’s Best Diversity Employers, Canada’s Greenest Employers & Canada’s Top Employers for Young People.

            -

            -

            Employment Type:

            -

            Full time

            -

            -

            Type of Role:

            -

            Regular

            -

            We have a long-standing focus on diversity, equity and inclusion because we know it will make our company a better place to work and shop. We are committed to creating accessible environments for our colleagues, candidates and customers. Requests for accommodation due to a disability (which may be visible or invisible, temporary or permanent) can be made at any stage of application and employment. We encourage candidates to make their accommodation needs known so that we can provide equitable opportunities.

            -

            -

            Please Note:  
            Candidates who are 18 years or older are required to complete a criminal background check. Details will be provided through the application process.

            -

            ",,https://myview.wd3.myworkdayjobs.com/loblaw_careers_carrieres/job/1-Presidents-Choice-Circle-Brampton-ON/Data-Scientist_R2000284776,aitalent@vectorinsitute.ai,https://www.loblaw.ca/en/careers.html,,,2022-12-04T19:12:28.574Z,False,0,24,110,https://talenthub.vectorinstitute.ai/jobs/163233044-data-scientist-at-loblaw-companies-ltd,,expired,2022-11-04T19:11:00.000Z,admin,Enterprise (500+),Application Click Through,Retail,Associate,Masters Degree,New Posting, -4f0ccbbb-b316-41f6-b3a9-5c832dad157e,164065488,Shopify Inc.,"Senior Data Engineer - Data Platforms (Remote, Americas)",on_site,"Ontario, Canada",2022-11-07T17:42:07.194Z,"

            About the role

            At Shopify, Senior Data engineers use their expertise and passion to multiply the overall output of their group. You and the team will empower all teams at Shopify to build data platform applications. Data Scientists depend on the work you do to get their job done. You will maintain a high bar for quality and mentor other engineers. And of course, you will be hands-on in the code and contribute technically.

            -

            As a technical leader of the Data Platform, you will:

            -
              -
            • Contribute to the development of systems for discovering, transforming and exploring large scale datasets

            • -
            • Work closely with peer teams in Data Platform to build out scalable solutions

            • -
            • Collaborate on system architecture, design and drive implementation of Data Platform solutions

            • -
            • Work closely with Shopify’s Data Scientists to build for their workflows

            • -

            Qualifications

            Experience and skills that are important for success in this role:

            -
              -
            • Proven track record of success in providing technical leadership to large software development teams where strong technical mentorship is important

            • -
            • Experience working with data technologies (such as Apache Iceberg, Apache Spark, DBT, Trino)

            • -
            • Experience with the internals of large scale data engines (such as Apache Flink / Apache Spark / Trino)

            • -
            • Track record of productionizing distributed systems

            • -
            • End to end experience with technologies used for processing large scale data

            • -
            • Experience building and supporting the technical vision of distributed systems

            • -
            • Experience with cloud infrastructure (Google Cloud Platform, Kubernetes, Terraform)

            • -
            • Exceptional communication skills

            • -
            -

            Preferred qualifications:

            -
              -
            • Committer to the Iceberg/Trino/Airflow/PySpark/DBT communities or to other distributed data related open-source software projects

            • -
            • Experience with Experience with modern big data storage technologies (Apache Iceberg, Trino, Flink)

            • -
            -

              -
            • An opportunity to have massive impact. Joining us in the beginning of our journey, you will help us evolve the data platform to enable data processing applications processing data from millions of shops with strict reliability and performance needs. You will help us make working with data easy and operationally mature at Shopify.

            • -
            • A group of exceptionally talented and dedicated peers with which to collaborate. You will be joining a group of 40+ engineers as a senior technical lead,.

            • -
            • A constant stream of new things to learn. We\'re always expanding into new areas, bringing in open source projects, contributing back, and exploring new technologies.

            • -
            -

            Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

            -

            At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.

            ",,https://www.shopify.com/ca/careers/senior-data-engineer-data-platforms-remote-americas_74b870f0-4b04-4c6b-90da-a6c2fd4d217b,feed-importer@jobboard.io,,,,2022-12-05T17:47:06.368Z,False,0,3,18,https://talenthub.vectorinstitute.ai/jobs/164065488-senior-data-engineer-data-platforms-remote-americas-at-shopify-inc,,expired,2022-11-07T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Information and Media),Mid-Senior Level,Masters Degree,New Posting, -7e81a5e2-e916-4985-a279-64d6b0fe3db2,164063877,TD Bank Group,Modelling/Forecasting Specialist,on_site,"Toronto, ON",2022-11-07T17:24:03.487Z,"
            +

            Posting End Date:

            08/01/2023
            ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Director--Management-Reporting--Finance-Data---Analytics_JR00070589?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-01-12T22:03:00.000Z,False,0,0,11,https://talenthub.vectorinstitute.ai/jobs/178993688-director-management-reporting-finance-data-analytics-at-sun-life-financial,,expired,2022-12-19T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, +387b382e-a8db-456c-b70c-99a9b62adebc,181084209,Scotiabank,Senior Manager AML Operations Analytics & Business Intelligence,on_site,Canada : Ontario : Toronto,2022-12-26T17:22:02.878Z,"

            +

            +

            +

            +

            Requisition ID: 170142

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            +

            +

            +

            Purpose

            +


            Contributes to the overall success of Global Anti-Money Laundering (AML) Operations, maintaining and continuously improving Business Intelligence (BI) models, infrastructure, processes, and frameworks, to provide insights for Executive decision making. Provides advice and counsel to local teams on analytics, reporting, and data management. Ensures all activities are conducted in compliance with governing regulations, internal policies, and procedures.

            +

            +


            Accountabilities

            +

            +

            • Maintain and continuously improve Global AML Operations Business Intelligence platform, including infrastructure, processes, reporting tools, analytic models, repositories, data governance and frameworks, to provide insights to Executives on operational performance, productivity, and key areas requiring attention.
            • Establish and maintain close working relationships with partners in the Global AML Operations, as well local teams in the countries to provide leadership, advice and counsel on analytics models, reporting, and data management.
            • Establish and maintain close working relationships with other teams producing reports, business intelligence and analytics, to share best practices and advance the evolution of the BI and analytics models.
            • Develop and maintain procedures, frameworks, best practices, to provide governance on BI and Analytics to Global AML Operations.
            • Develop new BI/Analytics capabilities and automate existing manual processes.
            • Identify, source, manipulate and investigate large volumes of data to provide actionable insights. This involves engaging and working with stakeholders from across the Bank such as technology teams, and business lines, as required.
            • Work with large datasets using Excel and distributed computing tools for analysis, data mining and modeling
            • Conduct data driven root cause analysis to understand the volume of cases for the EDDU and identify strategies via reporting to manage the Bank's risk exposure and commitment to the regulators
            • Escalate any concerns regarding conduct risk or a deficiency in internal controls, policies or procedures.
            • Maintain a sound knowledge and understanding of the Bank’s policies and internal procedures and protocols.
            • Contribute to unit planning and strategy discussions to meet unit business objectives and regulatory requirements.
            • Provide problem resolution and support to internal and external partners, as requested.
            • Perform trending and tracking of performance metrics and other relevant data points for the unit.
            • Work with operational teams to identify, track and triage data, technology and system issues to be raised to technology teams and other stakeholders and to prioritize future development.
            • Lead and drive a customer focused culture throughout the team to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
            • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
            • Operate within the Bank’s risk appetite and conduct business and interactions with customers, employees, suppliers, and others in a legal and ethical manner that promotes integrity across the Bank.

            +

            +

            Education / Experience

            +

            +

            • Bachelor’s Degree in Computer Science, Information Systems, or other related field or relevant experience
            • 3+ years’ experience with a financial institution is preferred
            • Strong quantitative and qualitative analytical skills, excellent attention to detail and good business judgment
            • Strong written and oral skills in English
            • Proficient skills in MS Excel, Data Visualization (PowerBI), database management (e.g. SQL). Knowledge in advanced data analytics tools is an asset (R, Python, etc.)
            • A self-starter, results oriented, very organized & highly motivated individual who can apply his/her knowledge to resolve complex business problems that are multi-dimensional
            • Able to focus on multiple initiatives concurrently to efficiently balance time & resource conflicts & demonstrated attention to detail in ensuring accuracy of data collection & reports
            • Able to deal with highly sensitive/confidential issues, on issues ranging from policy to risk analysis to general support
            • Positive attitude and ability to effectively work with team members in achieving common objectives
            • Good interpersonal and communication skills for interacting with various levels of management, international offices and varying cultures and languages
            • Demonstrated ability to interact and engage with management and executive level stakeholders

            +

            +

            +

            +

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager-AML-Operations-Analytics-&-Business-Intelligence-ON-M5H1H1/566267417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-12T22:00:00.000Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/181084209-senior-manager-aml-operations-analytics-business-intelligence-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager-AML-Operations-Analytics-&-Business-Intelligence-ON-M5H1H1/566267417/,expired,2022-12-26T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +8fd60f87-98e2-4bde-b806-3fecd36e127a,183865767,TD Bank Group,Modelling / Forecasting Senior Analyst (Quants),on_site,"Toronto, ON",2023-01-05T17:24:03.189Z,"

            Company Overview

            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

            @@ -55166,41 +62084,32 @@ abca9e23-5261-46f8-a270-9b6f8c8358b5,163233044,Loblaw Companies Ltd.,Data Scient

            Department Overview

            -

            The Model Development (MD) group is part of the Market Risk and Model Development group within Risk Management at TD Bank. It is responsible for methodology development related to Market Risk and Credit Risk for the Retail, Wholesale and Business Banking as well as Operational Risk bank wide. These methodologies cover, but are not limited to, Credit parameters (PD, LGD, UGD), Regulatory & Economic Capital for AIRB Credit Risk, General Allowances, Value at Risk (VaR), and Counterparty Credit Risk.

            +
            +The Model Control and Governance (MCG) team manages the model control process for trading market risk and valuation models used in TD Securities and provides quantitative support to market risk functions in Market Risk. It is a 1B function that oversees market risk model risk governance to ensure compliance with TD Model Risk Management Framework and Model Risk Policy. MCG also plays a critical role in monitoring of Non-Retail AIRB parameter models in Canada and US, covering back-testing, regulatory reports and OSFI ongoing compliance review.

            Job Description

            -

            The MD group is hiring a Modelling/Forecasting Specialist to develop, enhance, and implement credit risk models for the Commercial Real Estate (CRE) segment of the US Non-Retail portfolio. Detailed responsibilities are as follows:

            +The Senior Analyst in MCG will support model control process for trading market risk and valuation models used in TDS. Key accountabilities include:

              -
            • Build and maintain US CRE allowance (CECL, IFRS 9, General Allowance) and Stress models (CCAR, EWST, MST)
            • -
            • Conduct applied research and analyses pertaining to CRE and credit risk modeling
            • -
            • Develop automated tools to identify changes in portfolio characteristics and expected credit losses for the US CRE portfolio
            • -
            • Act as a subject matter expert on CRE molding methodologies and conduct economic and industry research
            • -
            • Leverage internal and external data to enhance existing methodologies
            • -
            • Perform ad hoc analyses as required by management and other business partners
            • -
            • Participate in the design, planning, implementation and testing of various modeling initiatives
            • -
            • Collaborate with non-retail teams and participate in cross-functional projects as needed
            • -
            • Produce and maintain well-articulated documentation on above
            • -
            • Write and maintain robust code for performing the above functions
            • +
            • Act as Subject Matters Expert in quantitative model testing and reviews for TDS valuation pricing models, market risk capital models and counterparty credit risk models, and provide analytical support to business partners
            • +
            • Responsible for semi-annual model usage report and quarterly analytic model limitation monitoring process
            • +
            • Conduct model implementation testing and control process across PnL, Risk, VaR and CCR for various TD’s global trading businesses, including Interest Rate, Equity, FX, Credit and Commodity
            • +
            • Perform system release review and follow version control process for trading and risk systems
            • +
            • Provide quantitative support to business partners on key TDS projects and initiatives
            • +
            • This position involves working effectively with different internal partners to ensure the appropriateness and accuracy of models used by the bank

            Requirements

            -
            -
              -
            • Graduate degree in a quantitative field, such as Applied Econometrics, Economics, Mathematics Statistics, Actuarial Science, Computer Science or Physics
            • -
            • Strong background in data-driven statistical modeling
            • -
            • Programming experience is required. Experience with SAS is not necessary but is preferred
            • -
            • Experience working with relational databases and SQL
            • -
            • Strong interest and ability to undertake applied research
            • -
            • Out-of-the-box thinker and enthusiastic in solving problems
            • -
            • Strong written and verbal communication skills
            • -
            • Ability to work in a multi-disciplinary team setting
            • -
            • Strong work ethic and adaptable to changing priorities
            • -
            • Prior knowledge and experience with CRE, stress testing and/ or allowance is an asset
            • -
            -

            #LI-Hybrid

            -
            +
              +
            • Excellent quantitative finance knowledge on derivative products, as well as the valuation and risk management methodologies
            • +
            • Solid understanding of pricing theory, stochastic calculus and numerical techniques used in derivative pricing (PDE/trees, Monte Carlo simulation, optimization, etc.)
            • +
            • Excellent written and verbal communication skills
            • +
            • Strong project management skills, ability to successfully work with multiple stakeholders to achieve the project’s objectives
            • +
            • Good computational and programming knowledge
            • +
            • Graduate degree in a quantitative discipline such as Mathematical/Computational Finance, Mathematics, Physics, Computer Science, or Engineering
            • +
            • Previous working experience in Model Development, Model Validation or related quantitative role
            • +

            Hours

            37.5
            @@ -55208,365 +62117,67 @@ abca9e23-5261-46f8-a270-9b6f8c8358b5,163233044,Loblaw Companies Ltd.,Data Scient

            Inclusiveness

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            -
            ",,https://jobs.td.com/en-CA/jobs/16997248/modelling-forecasting-specialist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-12-07T18:14:09.960Z,False,0,13,48,https://talenthub.vectorinstitute.ai/jobs/164063877-modelling-forecasting-specialist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16997248/modelling-forecasting-specialist-toronto-ca/,expired,2022-11-07T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -3f8cd846-a85a-4b0a-a50f-d00f1b4d2044,172488961,Scotiabank,"Data Analyst - Global Compliance Data, Analytics, & Technology",on_site,Canada : Ontario : Toronto,2022-12-01T17:22:03.252Z,"

            -

            -

            -

            -

            Requisition ID: 165080

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            -

            -

            Purpose

            -

            Within Scotiabank’s Global Compliance department, the Data Analytics team is looking to hire a Data Analyst. The Data Analyst will contribute to the overall success of our team and work closely with business analysts, data scientists and data engineers to address business opportunities. The successful candidate will have to understand the business needs and requirements to support and enhance our analytics function. We are looking for an individual with a passion for data, interested in its applications within Compliance and be a team player.

            -

            -

            Accountabilities

            -
            • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
            • Provides technical expertise in designing and implementing data pipelines.
            • Plans and facilitate discussions with business clients to gather business, data source requirements, and use cases to support advanced analytics.
            • Creates dashboards to share data insights with the business, builds data features used for modeling, reporting and advanced analytics.
            • Builds and maintains proper documentation, data lineage and extract-transform-load (ETL) processes.
            • Maintains a good understanding of the Bank's business strategies, policies, risk management and IT processes and disciplines.
            • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
            • Actively pursues effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
            • Champions a high-performance environment and contributes to an inclusive work environment.
            • -
            -

            -

            Education/Experience

            -
            • University degree and/or college diploma in relevant STEM discipline (Computer Sciences, Electrical/ Computer/ Software Engineering, Mathematics).
            • 2+ years of experience in cleaning, transforming and visualizing data sets working from various data formats (e.g., unstructured logs, XML, JSON, flat files).
            • Have hands-on programming experience and advanced knowledge of SQL and Python.
            • Experience with agile methodologies, implementing and managing visualization tools such as Power BI, or Tableau.
            • Understand data model, data architecture and data lineage
            • Experience using big data technologies (Hadoop, Hive, Spark, EMR, etc.) and promoting data pipelines to production
            • Excellent communication skills, with a strong customer-focus.
            • Experience with statistical analysis and machine learning with common machine learning libraries in R, Matlab and/or Python.
            • Experience with machine learning algorithms like Regression, Decision Tree, SVM, NLP, Time Series.
            • -
            -

            -

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Data-Analyst-Global-Compliance-Data%2C-Analytics%2C-&-Technology-ON-M5H1A1/564219217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-12-08T14:46:00.000Z,False,0,3,9,https://talenthub.vectorinstitute.ai/jobs/172488961-data-analyst-global-compliance-data-analytics-technology-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Analyst-Global-Compliance-Data%2C-Analytics%2C-&-Technology-ON-M5H1A1/564219217/,expired,2022-12-01T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Post-Graduate Diploma,New Posting, -2fc4fa31-4d17-4727-a1a9-97b9c9bc0641,189568976,Scotiabank,Manager Business Intelligence,on_site,Canada : Ontario : Toronto,2023-01-23T17:22:03.105Z,"

            -

            -

            -

            -

            Requisition ID: 169603

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            -

            -

            Reporting to the Director IB Analytics Transformation, the Manager, Business Intelligence (BI) will lead projects, in support of the in-country Analytics Roadmap, and drive accelerated benefits for our customers. They will ensures all strategies, plans and initiatives are executed/delivered in compliance with governing regulations, internal policies, and procedures.

            -

            -

            The Manager will support and contribute to the overall success of the International Banking (IB) analytics initiatives by supporting the execution of the BI reporting system, aligned with the business strategies and objectives and take ownership of complete work streams within BI Initiatives to answer key relevant questions from Senior Leadership. They will also work with cross functional teams from various business lines in Canada and IB markets. This role requires business knowledge combined with data mining, and visual data techniques to improve the data availability and BI capabilities that will enhance the decision-making process while creating business value.

            -

            -

            Accountabilities:

            -

            -
            • Coordinate with our key partners in International Banking and across the division the review and collection of data for the different IB Analytics initiatives
            • Review data to ensure its integrity for data analysis to deliver business insights and validate hypotheses
            • Build compelling and user-friendly Power BI reports/dashboards
            • Lead development efforts in ingesting and transforming data from various sources. Build scripts, and be responsible for end-to-end delivery of data
            • Translate the findings into executive communications
            • Must be creative, self-starting, results-oriented, and highly motivated with excellent analytical skills
            • Should be a team player and should adapt to change and work accordingly in a positive manner
            • Should have excellent verbal and written communication, effectively convey ideas verbally, have clear written communication especially when responding to non-technical / business team members
            • -
            +
            ",,https://jobs.td.com/en-CA/jobs/17498220/modelling-forecasting-senior-analyst-quants-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-12T21:58:00.000Z,False,0,2,15,https://talenthub.vectorinstitute.ai/jobs/183865767-modelling-forecasting-senior-analyst-quants-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17498220/modelling-forecasting-senior-analyst-quants-toronto-ca/,expired,2023-01-05T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +e84320e5-92b2-4d82-a48e-3b92ef2b12a7,177791799,TELUS,Data Scientist/Analyst - C360 Insights Team,on_site,"Ontario, Canada",2022-12-15T17:42:03.808Z,"
            +
            +

            Description

            +

            -

            Education and Experience:

            +

            Join our team

            +


            The C360 Insights Team is part of the Campaign Management & Data Science group that supports one to one Marketing Campaigns for TELUS’ Mobility Customers. Our team is responsible for providing advanced analytics solutions to inform marketing campaigns that help deliver best in class customer experiences and business results for the organization. We develop machine learning and AI solutions leveraging the latest technology and Big Data assets that TELUS maintains.
            We are a team of highly skilled and experienced data analytics professionals with diverse industry experience who collaborate to create value for our customers, organization and team.

            +


            Always wanted to work in a high performance team that strives to continuously grow and be part of a culture that embraces creativity, collaboration, diversity and a whole lot of fun? If so, we’d love to talk with you!

            Here’s the impact you’ll make and what we’ll accomplish together

            +


            As a Data Scientist, reporting to the Manager C360 Insights Team, you will play a pivotal role in enabling TELUS’ Marketing teams to achieve their business goals including revenue, EBITDA, churn, customer experience by developing advanced analytics solutions that support marketing strategy and campaigns.

            +


            As TELUS evolves its AI capabilities including Next Best Action engines, Customer Journey analytics solutions and transition to Cloud platforms you will be a key contributor and user of these capabilities.

            You will work with a talented team of Data Scientists as well as analytics and marketing professionals to build advanced analytics solutions and derive business value from them.

            +


            Here\'s how

            -
            • Bachelor’s Degree in Computer Science, Statistics, or related field
            • 4+ years of experience in financial services, business intelligence and/or data engineering
            • Working knowledge of Retail Banking products: lending, deposits and complementary products and services offered by other financial institutions and niche competitors
            • Self-motivated, driven and impact-oriented
            • Demonstrated ability to analyze data, interpret results and communicate in simple terms
            • Practical experience with Excel, SQL, Power BI, data processing, database programming and data analytics
            • Sharp interpersonal skills, leadership and influencing capabilities in multi-cultural environments
            • Nice to have familiarity with DBA tasks and ETL tools
            • Fluency in Spanish is preferred
            • +
                +
              • Own the end-to-end data analysis for assigned portfolios including data prep, pre-analysis, campaign analytics, segmentation, predictive modeling, dashboarding, post campaign analysis
              • +
              • Contribute to the development of teams’ deliverables like Next Best Action engines, Propensity Models, Natural Language Processing models, Near Real time Triggers, Customer Journey Analytics, Data Dashboards that inform marketing strategy and campaigns leveraging PySPARK, Python, SQL, etc
              • +
              • Work collaboratively with business partners teams to understand, compartmentalize complex and ambiguous business issues into crisp and manageable pieces
              • +
              • Present customer insights to cross functional business partners including Marketing, Channel, Products & Services, Customer Experience and Digital
              • +
              • Support the transition of TELUS’ data assets and analytics machine learning solutions to Google Cloud Platform ensuring data security and privacy compliance
              • +
              • Maintain solid and updated knowledge in the domain of AI/ machine learning to continuously evolve TELUS’s AI assets while collaborating with and adding value to your fellow data science community

              -

              Location(s): Canada : Ontario : Toronto

              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Manager-Business-Intelligence-ON-M5H1H1/566086417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-30T17:27:03.111Z,False,0,3,14,https://talenthub.vectorinstitute.ai/jobs/189568976-manager-business-intelligence-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager-Business-Intelligence-ON-M5H1H1/566086417/,expired,2023-01-23T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -421f7446-4986-4f6d-b106-aaec90871a9f,189568958,Scotiabank,"Data Scientist, CID&A",on_site,Canada : Ontario : Toronto,2023-01-23T17:22:02.480Z,"

            -

            -

            -

            -

            Requisition ID: 171483

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            -

            -

            Purpose:

            -

            -

            The Manager, Business Banking Analytics is accountable for managing data ETL, data feed preparation & reporting and BI related tasks for Scotiabank Small Business and Commercial government relief programs. The incumbent leverages his/her subject matter expertise on data, project management, database architecture, reporting and analytical tools to provide timely and accurate reporting by collaborating and providing solutions to multiple business partners. They work with IT, Enterprise Data warehouse and other internal and external data providers to provide sound data infrastructure for regulatory reporting, portfolio management and analytics.

            -



            Key Accountabilities:

            -



            • Champion a customer-focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
            • Lead the creation of daily, weekly and monthly reporting of CEBA loan transactions to senior management and regulatory bodies incl. the Government of Canada
            • Develop and maintain productive relationships with key business leaders and other stakeholders internal and external to the organization such as Collection, Audit, product groups and external partners
            • Participate in in regular planning and status meetings with government stakeholders to understand latest update on data requirements
            • Lead data reconciliation and audit with internal parties and external stakeholders
            • Analyse and implement data quality control processes to overcome any discrepancies/errors
            • Work closely with data warehouse and IT teams to manage development of analytical infrastructure comprising of databases, data infrastructure and analytical tools to provide sound infrastructure for reporting, portfolio management, analytics, segmentation and statistical modeling. Ensure data enhancement initiatives are appropriately prioritized and implemented on time and budget
            • Lead automation of reports on an ongoing basis in order to increase productivity, efficiency and accuracy of MIS ensuring business stakeholders are minimizing time spent on repetitive or manual tasks.
            • Utilize Business Intelligence methodology to interpret, synthesize and deliver timely reporting & analyses; monitor portfolio activities; Airflow experience is nice to have for scheduling and automation purposes.
            • Continuously acquire and enhance knowledge of business/product strategies, reporting tools, technical processes and advanced analytical tools/methodologies in order to best provide business solutions to all key constituents
            • Effectively manage and prioritize multiple business initiatives, projects and ad-hoc reporting needs with business stakeholders and/or external partners/consultants.

            -



            Qualifications:

            -



            • 4+ years experience in Analytics or MIS/BI Reporting
            • 4+ years experience in programming, ETL management in EDL environment and/or data warehousing
            • Proficient in Python and SQL
            • Previous project management experience and can collaborate with cross functional teams
            • Working knowledge of Hadoop, Big Data, Data Lake, Hive, Spark
            • Proficient in BI tools such as PowerBI or Tableau
            • Excellent verbal and written communication skills essential with clients, vendors and management
            • Excellent organization skills to prioritize, manage, and implement a variety of competing initiatives, on a concurrent or staggered basis
            • Experience in Business Banking (Commercial/Small Business) an asset

            -

            -

            Educational Requirements:

            -

            -

            • University Degree in Computer Science, Finance, Economics, Business Administration, Engineering or Statistics
            • Master in Analytics, quantitative areas, MBA - preferred

            -

            -

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Data-Scientist%2C-CID&A-ON-M5C2V9/566846817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-30T17:27:03.111Z,False,0,4,27,https://talenthub.vectorinstitute.ai/jobs/189568958-data-scientist-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Scientist%2C-CID&A-ON-M5C2V9/566846817/,expired,2023-01-23T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -3ae75d3b-2e2e-4d08-b364-9d8474b54423,189568963,Scotiabank,"Senior Data Scientist, CID&A",on_site,Canada : Ontario : Toronto,2023-01-23T17:22:02.587Z,"

            -

            -

            -

            -

            Requisition ID: 171493

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            -

            -


            Purpose:

            -

            -

            Banking Banking Analytics is responsible for providing unbiased, customer-focused insights on business initiatives across the Bank, and for developing analytical processes and platforms for use across the Bank that highlight opportunities to acquire, grow and retain customers. Within this department, the Senior Data Scientist, Business Banking Analytics is responsible for solving complex data and analytical problems, using quantitative approaches with a unique blend of analytical, technical and business skills.

            -

            -

            The incumbent uses their advanced analyticals skills to develop analytical assets that will help the Bank achieve its business objectives. The incumbent will work closely with internal business lines, data stewarts and other internal stakeholders to drive business value, and recommend solutions to drive client acquisition, retention, balance growth, cross-sell/up-sell, product activation and usage.

            -

            -

            The incumbent will require a combination of business focus, strong analytical and problem solving skills and programming knowledge to quickly draw insights from large, disparate data sources to support Bank strategies. Excellent written and communiation skills are requiried and the Senior Data Scientist will work closely with the Director to conduct analytics and present insights/findings in impactful and easy-to-understand terms for business partners and senior management. Finally, the incumbent is responsible for developing and mentoring a team of senior level analytic staff, and instilling a customer-centric view of analysis within the organization.

            -

            -

            Accountabilities:

            -

            -
            • Expert in analyzing large, complex multi-dimentional datasets in structured and unstructured format.
            • Provide support to various partners and stakeholders across Business Banking by leading in the discovery process to identify business requirements and expected outcome.
            • Develop innovative and effective approaches and apply statistical, predictive modelling techniques and to solve client’s analytics problems and communicate results and methodologies to business clients and senior members of the analytics team.
            • Prepare detailed documentation to outline data sources, models and algorithms used and developed
            • Present and depict the rationale of findings in easy to understand terms for the business or senior management.
            • Stay current on trends in the data science and fin-tech product space, translate those trends into actionable strategic and tactical objectives for the company.
            • Contribute to a culture of innovation inside and outside of the company as a visionary capable of inspiring through presentation, demonstration and leading by example.
            • Provide strong leadership, mentor and manage direct reports to motivate both individual and team performance and foster a commitment to the Bank’s objectives. Recruit high potential candidates, develop staff by sharing knowledge/experience and provide opportunities for staff to share responsibility for achieving business objectives/goals. Identify resourcing, issues and implement activities to resolve these items in a timely manner. Ensure that the Bank has the capabilities and skill sets to compete develop a competitive advantage in analytics over other financial institutions
            • -
            +
            +
            +
            +

            Qualifications

            +

            -


            Requirements & Qualifications:

            +

            Must haves

            -
            • The incumbent supports a wide range of analytical activities, and must conduct unbiased, customer-focused analytics, while at the same time ensuring that results do not impede customer acquisition/retention, business line growth and profitability activities. To be successful in the position, the incumbent requires the following technical and behavioral competencies:
            • Excellent understanding of Predictive Analysis and Machine Learning techniques like Random Forests, Neural Networks, NLP, clustering and other similar techniques.
            • Solid analytical skills. Must be comfortable working with large amounts of information in a data lake environment and translating data into clear and concise findings.
            • Strong communication and interpersonal skills. Boardroom level oral/written communication & presentation skills in a client-facing setting.
            • Strong programming skills in Python and SQL.
            • Knowledge of Bank Information Systems, such as product and reporting systems, including finance systems, Salesforce, GDAP, and the Enterprise Data Lake, an asset.
            • Experience using common machine learning algorithms in Python, GCP.
            • Experience using and implementing visualization tools like PowerBI and/or Tableau.
            • Knowledge of the Business Banking products and services an asset.
            • +
                +
              • Technical Expertise
              • +
              • Hands-on and industry experience in Python, SQL, SPARK and other data query language on UNIX / PC and comfortable working with very large data sets and databases
              • +
              • Knowledge of advanced statistical and data mining techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with business applications
              • +
              • Hands-on experience with Data Visualization tools like Domo/Tableau
              • +
              • Experience with a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
              • +
              • Strong Quantitative, analytical and problem solving skills
              • +
              • 5+ years of progressive and relevant work experience
              • +
              • Business Orientation
              • +
              • Good business acumen, relationship management and influencing without authority skills;
              • +
              • Ability to provide actionable recommendations based on data analysis
              • +
              • Strong Ability to prioritize tasks from multiple stakeholders and meet deadlines with quality deliverables
              • +
              • Strong written, oral, communications, presentation skills and knowledge of Microsoft office/Google suite
              • +
              • Education
              • +
              • Degree in Computer Science Engg/ Programming/ Statistics/Analytics

              -

              Educational Requirements:

              +

              Great-to-haves

              -
              • University degree in relevant STEM discipline (Computer Sciences, Electrical/Computer/Software Engineering, Mathematics). Master’s Degree or Ph. D preferred.
              • +
                  +
                • Telecom industry experience
                • +
                • Working experience with Google Cloud Platform

                +

                Above all else we are seeking an enthusiastic ‘let’s do it’ attitude, motivation and a willingness to learn and collaborate. Please consider transferable skills which will make you successful in this role and apply!

                -

                Location(s): Canada : Ontario : Toronto

                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Scientist%2C-CID&A-ON-M5C2V9/566848717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-30T17:27:03.111Z,False,0,3,12,https://talenthub.vectorinstitute.ai/jobs/189568963-senior-data-scientist-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Scientist%2C-CID&A-ON-M5C2V9/566848717/,expired,2023-01-23T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -f25586f3-5ebd-47ad-a4af-495c9e7ffcae,185685864,RBC,Senior Data Scientist (very flexible on the years of experience),on_site,"Toronto, ON, Canada",2023-01-10T21:28:19.944Z,"

            -

            -

            RBCers across Technology & Operations, Chief Data Office, and Personal and Commercial Banking will present their team’s mandates and priorities as well as any current and upcoming roles at the RBC Information Session(Hybrid). Networking and speed interviews will follow team presentations.

            -

            Please Note: Applicants without those years of experience are encouraged to apply. RBC is very flexible on the amount of experience they are looking for in this role and looking forward to meeting you in person if you are available.

            -

            Due to capacity and space limitations, RBC encourages Vector’s upcoming grads and alumni to attend the session in person and looks forward to meeting all others virtually.

            -


            Come Work with Us!

            -

            At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

            Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

            -

            Job Title

            -

            Senior Data Scientist- 3 vacant positions

            -

            Job Description

            -

            In this role as a Senior Data Scientist you will analyze, design and implement data science / machine learning solutions using RBC’s enterprise suite of analytics tools. The group specializes in taking full advantage of large data sets to explore and discover new insights that would have not been possible with traditional analytics. Leveraging leading edge technologies and capabilities, the group applies machine learning and statistical modelling techniques to help RBC understand the changing business environment, discover new growth opportunities and determine where business improvements can be made.

            -

            What is the opportunity?

            -

            In this role as a Senior Data Scientist you will analyze, design and implement data science / machine learning solutions using RBC’s enterprise suite of analytics tools. The group specializes in taking full advantage of large data sets to explore and discover new insights that would have not been possible with traditional analytics. Leveraging leading edge technologies and capabilities, the group applies machine learning and statistical modelling techniques to help RBC understand the changing business environment, discover new growth opportunities and determine where business improvements can be made.

            -

            What will you do?

            -
              -
            • Collaborate with key business partners and stakeholders to understand business objectives/opportunities and problem statements in order to provide solutions that align to business needs that are actionable with a tangible outcome
            • -
            • Prepare and transform data (structured/non-structured)
            • -
            • Develop and deploy ML solutions at scale
            • -
            • Prepare, integrate large and varied datasets and implement statistical and ML models using Python and R.
            • -
            • Leverage visualization tools/packages to story-tell and to convey data-driven insights with actionable recommendations to key stakeholders
            • -
            • Quickly learn new methods, tools and technologies presented in research communities to implement, adapt and innovate
            • -
            • Effectively communicate findings to business partners and executives.
            • -
            -


            What do you need to succeed?

            -

            Must-have

            -
              -
            • Bachelors or Master’s degree in Engineering, Statistics, Mathematics, Computer Science, Economics, Sociology or Psychology.
            • -
            • 3-5 years of experience in data solutions and applying data techniques.
            • -
            • Strong knowledge of design, development, and implementation experience utilizing data science technologies.
            • -
            • 3+ years of experience in machine learning, predictive analytics, and statistical modeling. Familiar with programing and scripting languages Python, R, Java and SQL.
            • -
            • Excellent analytical, problem solving, time management and organizational skills.
            • -
            -

            Nice to have:

            -
              -
            • Familiar with a range of data tools.
            • -
            • Experience in programming, scripting languages and data visualization.
            • -
            • Familiar with a Linux environment and shell scripting.
            • -
            • Familiar with data extract, transform, and load processes with a variety of data types.
            • -
            -

            What’s in it for you?

            -

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

            -
              -
            • A comprehensive Total Rewards Program including bonuses and flexible benefits and competitive compensation
            • -
            • Leaders who support your development through coaching and managing opportunities
            • -
            • Work in a dynamic, collaborative, progressive, and high-performing team
            • -
            • Opportunities to do challenging work
            • -
            -


            Job Summary

            -

            Address:

            -

            TORONTO, Ontario, Canada

            -

            City:

            -

            CAN-ON-TORONTO

            -

            Country:

            -

            Canada

            -

            Work hours/week:

            -

            37.5

            -

            Employment Type:

            -

            Full time

            -

            Platform:

            -

            Strategy and Administration

            -

            Job Type:

            -

            Regular

            -

            Pay Type:

            -

            Salaried

            -

            Posted Date:

            -

            2023-01-06-08:00

            -

            Application Deadline:

            -

            2023-01-20-08:00

            -

            Inclusion and Equal Opportunity Employment

            -

            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
            ​​​​​​​
            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

            -

            Join our Talent Community

            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

            ",alicia.sarran@rbc.com,,aitalent@vectorinsitute.ai,https://jobs.rbc.com/ca/en/,,,2023-02-01T14:53:00.000Z,False,43,0,263,https://talenthub.vectorinstitute.ai/jobs/185685864-senior-data-scientist-very-flexible-on-the-years-of-experience-at-rbc,,expired,2023-01-10T21:28:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Entry Level,Masters Degree,New Posting, -6076e9b9-1288-4eaa-82b3-1670e6d7ac02,185923459,RBC,Senior Full Stack Cloud/ML Engineer (very flexible on the years of experience),on_site,"Toronto, ON, Canada",2023-01-11T15:10:54.746Z,"

            RBCers across Technology & Operations, Chief Data Office, and Personal and Commercial Banking will present their team’s mandates and priorities as well as any current and upcoming roles at the RBC Information Session(Hybrid). Networking and speed interviews will follow team presentations.

            -

            Please Note: Applicants without those years of experience are encouraged to apply. RBC is very flexible on the amount of experience they are looking for in this role and looking forward to meeting you in person if you are available.

            -

            Due to capacity and space limitations, RBC encourages Vector’s upcoming grads and alumni to attend the session in person and looks forward to meeting all others virtually.

            -

            Come Work with Us!

            At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

            Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

            -

            Job Title

            -

            Senior Full Stack Engineer

            -

            -

            -

            Job Description

            -

            What is the opportunity?

            -

            -

            What if you could use your technology skills to work on products that make an impact when it comes to delivering unforgettable client experiences? Our team is building capabilities that enable the end-to-end transformation of our customers' journeys –building and leading with technologies that put data privacy and responsible AI practices at the forefront. We’re a team of resilient, collaborative people with a hunger for learning and delivering trusted data and AI-powered capabilities to support top-notch client experiences and we have our sights set on building the tech stack of the future with modern, flexible architecture by building once, and reusing across channels – how’s that for efficiency?

            -

            -

            We’re building a team who is not afraid to challenge the status quo, embraces innovation, and is excited to bring a fresh perspective. We’re looking for a talented and passionate Lead/Senior ML Engineer to join our team in Toronto. People who join our team will be able to work on the most innovative solutions to enable self-service analytics capabilities delivered via both public and private cloud platforms using event and microservices-based architectures. Join our team today and magnify your impact influencing the future of banking on a global scale. RBC is committed to being the destination of choice for technologists, driven by our engineering culture of curiosity, bold ambition and outcomes

            -

            -

            What will you do?

            -

            As the Senior (Full Stack) Cloud/ML Engineer, you will play a key role in our immediate and long-term strategic technical delivery direction for a multi-disciplined team of technologists. Nurturing culture and facilitating learning and knowledge sharing will be second nature to you as well as applying your technical know-how to ensure that the team is on the leading edge of technical delivery practices. You’ll have the tools and support needed to achieve extraordinary results that make a significant impact extending beyond the boundaries of traditional technology roles. Ideas start here – and you will build great technology.

            -

            -

            If you’re a hands-on technical leader with proven experience building high-performing teams, are continuously learning, and excited to mentor those around you—we have a spot for you on our team.

            -

            -
              -
            • Architecture and design of AI/ML-driven powered services enabling our trusted data and AI mission; including validation of responsible AI practices and delivery of leading-edge privacy-preserving analytics services
            • -
            • Lead technical work leveraging expertise from backend and frontend developers to assess technical complexity and decide on best technical approach. Collaborate with other teams and architects, and business stakeholders to ensure technical solution alignment.
            • -
            • Provide hands-on development support in the form of code reviews or code contributions when needed; enable automated testing and CI/CD pipelines
            • -
            • Be responsible for delivering and supporting features to production, ensuring quality controls are in place. Work with your team to harden, monitor, troubleshoot and resolve issues in test and production.
            • -
            • Partner with and support other teams as required; there are many teams, yet we are one team.
            • -
            • Leverage best practices in continuous integration and delivery, with a strong commitment to quality
            • -
            • Explore new capabilities and technologies to drive innovation
            • -
            • Be responsible for our team's health and work culture by actively coaching and developing our up-and-coming technical talent and championing a diverse and inclusive team culture
            • -
            -

            -

              

            -

            What do you need to succeed?

            -

            Must-have

            -
              -
            • 8+ years leading software delivery teams in mid to large software/IT organizations with practitioner expertise with object-oriented and event-driven architecture (OOAD & SOLID principles) and skills in the following areas:

              -
                -
              • Data Engineering & API Development: Kafka, ELK stack, Spark, Flux, expertise in at least one major programming language (Java, Python, Scala etc.)
              • -
              • Security frameworks: Kerberos, OAuth 2.0, Vault integration
              • -
              • Cloud and Containers: AWS, Azure, OpenShift, Docker, Pivotal Cloud Foundry
              • -
              • SQL/Data Stores: PostgreSQL, S3, HDFS
              • -
              • Service Telemetry: Open Telemetry, Prometheus, Jaeger and similar tools
              • -
              • CI/CD pipeline design, development
              • -
              • Hands on experience with system configuration and DevOps tools (Jira, Git, and Confluence)
              • -
              • Familiarity running distributed ML workloads in cluster orchestrated environments
              • -
              -
            • -
            • Self-starter with excellent communication skills, with proven ability to grow and mentor more junior technical professionals
            • -
            -

            -

            Nice-to-have

            -
              -
            • Experience with Airflow, graph databases, Jupyter Notebooks, other ML-related technologies
            • -
            • IAPP CIPT Certified
            • -
            -

            -

            What’s in it for you?

            -

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

            -
              -
            • Leaders who support your development through coaching and managing opportunities
            • -
            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
            • -
            • Opportunity to work on cool stuff and make a difference
            • -
            • Work in a fun, collaborative, progressive, and high-performing team
            • -
            • Access to world-class learning resources and relevant programs
            • -
            • Flexible, hybrid work/life balance options
            • -
            -

            -

            -

            Job Summary

            -

            Address:

            -

            TORONTO, Ontario, Canada

            -

            City:

            -

            CAN-ON-TORONTO

            -

            Country:

            -

            Canada

            -

            Work hours/week:

            -

            37.5

            -

            Employment Type:

            -

            Full time

            -

            Platform:

            -

            Technology and Operations

            -

            Job Type:

            -

            Regular

            -

            Pay Type:

            -

            Salaried

            -

            Posted Date:

            -

            2022-12-14-08:00

            -

            Application Deadline:

            -

            2023-01-31-08:00

            -

            Inclusion and Equal Opportunity Employment

            -

            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
            ​​​​​​​
            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

            -

            Join our Talent Community

            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

            ",alicia.sarran@rbc.com,,aitalent@vectorinsitute.ai,https://jobs.rbc.com/ca/en/,,,2023-02-01T14:58:00.000Z,False,2,0,51,https://talenthub.vectorinstitute.ai/jobs/185923459-senior-full-stack-cloud-ml-engineer-very-flexible-on-the-years-of-experience-at-rbc,,expired,2023-01-11T15:10:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Associate,Masters Degree,New Posting, -9d48573c-3f55-4637-b029-473549b74f7c,209218758,RBC,"Sr Manager, Portfolio Monitoring & Analytics",on_site,"Toronto, ON, Canada",2023-03-27T17:16:03.424Z,"
            -

            Come Work with Us!

            At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

            Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

            -

            Job Title

            Sr Manager, Portfolio Monitoring & Analytics

            -

            -

            Job Description

            -

            What is the opportunity?

            -

            As Sr. Manager, Portfolio Monitoring Analytics, you support the Director in achieving the business objectives, strategic priorities and operational effectiveness goals of Business Credit and the Portfolio Monitoring team. You are responsible in providing MIS and analytics support to help ensure appropriate oversight and monitoring of the Business Credit portfolio and Field compliance activities and to support strategic initiatives and special projects.

            -

            -

            What will you do?

            -

            • Use your strong analytical capabilities and ability to clearly formulate/articulate findings to stakeholders and senior management

            -

            • Apply understanding of Business Credit and Portfolio Monitoring processes to develop data requirements, gather and analyze reporting requirements, and determine the best data sources.

            -

            • Support strategic initiatives and specialized reporting through data sourcing, manipulation, analysis, visualizations, reporting and value-added insights, developing tool and BI solutions.

            -

            • Provide support to develop and continuously improve Portfolio Monitoring Reporting infrastructure for Business Credit and identify/recommend ways to simplify and automate processes.

            -

            • Enhance Business Credit client information capabilities and develop and analytic capabilities through SAS, SQL Server, Tableau and other technology

            -

            • Implement robust documentation of Business Credit Portfolio Monitoring Reporting and analytical procedures in a clear and concise manner for audit and regulatory purposes

            -

            -

            What do you need to succeed?

            -

            Must-have

            -

            • 5 to10 years of work experience in the financial services industry as well as a minimum of 3 years of experience with large relational databases

            -

            • Undergraduate or graduate degree in Business, Mathematics, or related fields

            -

            • Advanced SAS (including base SAS)

            -

            • Advanced SQL programming and SQL Server experience

            -

            • Strong proficiency in Tableau and advanced data visualization skills, including dashboard design, optimization and advanced calculated fields (Tableau Qualified Associate or above preferred); Strong understanding of Tableau Server, including setting up groups, folders, setting up permissions;

            -

            • Analytical mindset and excellent communication and presentations skills with proven ability to communicate effectively and build strong relationships through a collaborative and consultative approach

            -

            • Must be able to work independently with minimal supervision with good organizational awareness and strong execution excellence

            -

            -

            Nice-to-have

            -

            • Knowledge of Small Business and Commercial Credits and Risks

            -

            • Experience with Teradata/Data Lake infrastructures

            -

            -

            What’s in it for you?

            -

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

            -

            • Leverage this unique developmental opportunity to build out your analytical skills and deepen your knowledge about Commercial Credit and Business Markets.

            -

            • A comprehensive Total Rewards Program including bonuses, flexible benefits, and competitive compensation

            -

            • Ability to make a difference and lasting impact

            -

            • Work in a dynamic, collaborative, progressive, and high-performing team

            -

            • Opportunities to do challenging work

            -

            -

            -

            Job Summary

            Manages financial and administrative support functions and day-to-day activities to ensure financial objectives are fully achieved. Typically manages 2 or more specialized departments comprised of supervisors, managers, professionals, and/or large numbers of operational support employees.

            Address:

            TORONTO, Ontario, Canada

            City:

            CAN-ON-TORONTO

            Country:

            Canada

            Work hours/week:

            37.5

            Employment Type:

            Full time

            Platform:

            Personal and Commercial Banking

            Job Type:

            Regular

            Pay Type:

            Salaried

            Posted Date:

            2023-03-24

            Application Deadline:

            2023-04-08
            -

            Inclusion and Equal Opportunity Employment

            -

            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
            ​​​​​​​
            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

            -
            -

            Join our Talent Community

            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

            -
            ",,https://jobs.rbc.com/ca/en/job/R-0000054540/Sr-Manager-Portfolio-Monitoring-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-04-03T17:21:03.923Z,False,0,2,12,https://talenthub.vectorinstitute.ai/jobs/209218758-sr-manager-portfolio-monitoring-analytics-at-rbc,,expired,2023-03-27T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -08f492d1-7a58-4bf6-9c92-c1b5f0448d6a,210221121,TD Bank Group,"Manager, Analytics and Insights Valuations",on_site,"Toronto, ON",2023-03-30T17:24:03.443Z,"
            -

            Company Overview

            -
            -

            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

            -

            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

            -
            -

            -

            Department Overview

            -
            What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.
            As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.
            TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.
            -

            -

            Job Description

            -
            -

            About this Role

            -

            While you are a natural leader, you don’t mind getting your hands dirty. And in your role, you will simultaneously work to create data related solutions to drive business results, while working with senior leadership to communicate timelines and progress and identify business opportunities. You are not only a functional expert, you also possess broad managerial experience and specialized knowledge of regulatory and industry frameworks, using that knowledge to inform development cycles and develop industry leading analytic solutions. Most of all, your work ethic and thought leadership inspires your team to innovate with purpose, execute with speed, collaborate to deliver world-class data solutions and ultimately become leaders themselves.
            We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work enterprise wide.

            -

            As a Manager, Analytics and Insights, these are the essential responsibilities of this role:

            -
              -
            • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core work you’re doing
            • -
            • Work closely with business owners to find opportunities and serve as an ambassador for data science
            • -
            • Design and deliver enterprise analytic solutions for customers
            • -
            • Develop powerful business insights from segmentation, risk, and performance data
            • -
            • Build complex statistical valuations models with knowledge of Banking products profitability and cost drivers
            • -
            • Analytical thought leadership and staying ahead of developments in data mining and the application of data science
            • -
            • Deliver presentation of insights for executive leaders/business partners to drive strategic improvement
            • -
            • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
            • -
            • Generally accountable for a significant business management area that typically has enterprise wide impact or accountability
            • -
            • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
            • -
            -

            -

            Requirements

            -
            -What can you bring to TD?

            -

            Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

            -
              -
            • Graduate level qualification in a relevant technical field (Computer Science, Engineering, Applied Mathematics/Statistics, Operations Research) ideally with a specialization in data mining/machine learning
            • -
            • Up to 7 years’ experience of working in analytical environments
            • -
            • Experience in financial modelling and experience in Product Strategy, Risk, Finance or Marketing functions
            • -
            • Expertise in analytical tools such as SAS
            • -
            • High proficiency in Python, PySpark, Java, R, and its essential libraries.
            • -
            • Experience with Git
            • -
            • Experience with relational databases and usage of SQL
            • -
            • Proficiency in Big data (Hadoop, HIVE, PIG, Spark etc.) and unstructured data
            • -
            • Demonstrated track record of manipulation of large volume, high frequency data for analytical purposes on a Big Data platform
            • -
            • Demonstrated experience of developing and implementing statistical models (predictive & descriptive)
            • -
            • Demonstrated experience in delivering high quality, high impact analytical solutions to business problems
            • -
            -

            -

            Additional Information

            -
            -#LI-Hybrid #datascientist
            -

            -

            Hours

            -
            37.5
            -

            -

            Inclusiveness

            -

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            -

            -
            ",,https://jobs.td.com/en-CA/jobs/17971287/manager-analytics-and-insights-valuations-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-03T17:29:04.818Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/210221121-manager-analytics-and-insights-valuations-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17971287/manager-analytics-and-insights-valuations-toronto-ca/,expired,2023-03-30T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -bbbf9d0f-7232-4e97-9945-bb276b2bbb9d,210221127,TD Bank Group,Business Intelligence Specialist,on_site,"Toronto, ON",2023-03-30T17:24:04.606Z,"
            +
            ",,https://careers.telus.com/job/Toronto-Data-ScientistAnalyst-C360-Insights-Team-ON/565978117/,feed-importer@jobboard.io,,,,2023-01-14T20:47:06.790Z,False,0,12,81,https://talenthub.vectorinstitute.ai/jobs/177791799-data-scientist-analyst-c360-insights-team-at-telus,,expired,2022-12-15T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, +c3f35a18-8a6b-45ed-add5-b6b3dc37784a,188134079,TD Bank Group,Data Steward I,on_site,"Toronto, ON",2023-01-18T17:24:04.591Z,"

            Company Overview

            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

            @@ -55575,49 +62186,46 @@ bbbf9d0f-7232-4e97-9945-bb276b2bbb9d,210221127,TD Bank Group,Business Intelligen

            Department Overview

            -

            TD Information & Cyber Security covers the development and management of security strategies, policies and programs to assess, prioritize and mitigate business risk with technology controls. Priorities include: mitigating and managing cyber security threats, ensuring systems availability, aligning with global regulatory risk and compliance requirements, managing systems and network complexity and partnering with businesses for better technology delivery by providing advice on technology controls.

            -

            Enterprise Protect & OCISO, BISCG department is responsible for providing policies and governance for managing risk across the organization through a set of technology-based standards and controls. The Technology Risk Services Risk Reporting teams are responsible for delivery of risk metrics and reports for the Enterprise and business segments to ensure visibility into current and emerging risks enabling investment decisions and prioritization of risk reduction efforts.

            +

            Our vision to be the Better Bank is grounded in our purpose-driven and forward-focused strategy. The CTO was formed to establish integrated shared services across our four corporate segments – Finance including Specialty Groups, Treasury & Balance Sheet Management (TBSM), HR, Risk Management, Corporate Defense Group, GAML, and Compliance. We’re growing the best of Corporate’s core capabilities, enhancing operational alignment, creating greater capacity and focus, and unlocking new and exciting career paths for colleagues.

            +

            The CTO’s purpose is to strengthen the Bank at its core by leveraging scale and expertise to deliver better business outcomes. We aspire to achieve operational excellence, deliver with confidence, build better capabilities, and create a community of empowered and inspired colleagues. The CTO will enable us to move with purpose towards common goals, simplify how we work and elevate how we deliver customer value. In the CTO, we offer a culture of performance, growth, and collaboration, as well as benefits and resources that support your wellbeing and career development.

            +

            Join our world-class Governance, Risk and Control Team within the CTO which is responsible for central governance, risk and control capabilities for the Corporate Functions. Contribute to enterprise governance, risk and building enterprise capabilities to streamline the three lines of defense and improve effectiveness.

            Job Description

            -

            About This Role

            -

            Reporting to the Chief Product Owner for the Enterprise Protect Risk Factory, the candidate will be a member of a high performing team of Technology and Risk professionals utilizing personal experience and Business Intelligence expertise to deliver best in class metrics and reports. Responsibilities include:

            +

            About this Role

            +

            Are you an experienced data steward or data governance professional? If so, you’ll enjoy working as a data steward in Corporate Transformation & Operations (CTO). If you think you can showcase your expertise and strive to be the best, then join our team to grow!
            As a Data Steward I, you will provide oversight over data risks within your portfolio ensuring TBSM meets enterprise data policies and standards.

            +

            Primary Accountabilities include:

              -
            • Leading reporting enhancement workshops, leveraging Business Intelligence and Reporting expertise to ensure definition and design of high quality metrics and best in class reporting capabilities
            • -
            • Supporting change awareness activities, providing expertise on KRI design, developing materials and supporting ongoing data analysis requests.
            • -
            • Demonstrate expert knowledge of all data sources and data lineage for the reporting data mart(s) with a strong understanding of how these data sources are utilized for reporting purposes
            • -
            • Own and drive improvements to the Risk Reporting Factory processes with solutions that mitigate risk and maximize availability of service, efficiency and effectiveness
            • -
            • Serve as the business risk reporting team lead in ED&A’s data governance processes, identifying and escalating data issues, engaging data stewards and driving remediation at books of record.
            • +
            • Provides data governance expertise and supports, manages and / or executes data governance activities within the TBSM Line of Business.
            • +
            • Develops relationships with key business, enterprise and control partners providing data governance expertise, and leads on day-to-day data governance activities
            • +
            • Ensure the Line of Business (LOB) adheres to data related policies, standards and meets requirements set out by the Enterprise Data and Information Management Policy and Standards
            • +
            • Communicates data governance strategy and processes across business segment
            • +
            • Support the design and implementation of processes, templates, and appropriate mitigating controls, to support enterprise data policy and standards and ensure effective management and control of LOB data
            • +
            • Lead governance and oversight of LOB data management activities, such as identification of critical data and critical data elements, metadata management, data quality tasks and data retention and disposition
            • +
            • Identify and escalate data risks and issues and provide advice and support to business owners in development and implementation of action plans for issue resolution
            • +
            • Provide analysis and support the development of reporting to monitor current and emerging data related risks and escalation processes
            • +
            • Deliver training, tools, and advice to support the governance and oversight of data
            • +
            • Provide data governance expertise to support projects, ensuring projects meet required data governance and management policies and standards

            Requirements

            -

            Job Requirements

            +You’re a confident professional with a good understanding of data governance principles, enjoy working with varied stakeholders and possess the following:

              -
            • University Degree
            • -
            • Strong written and verbal communication skills and comfortable communicating at all levels of the organization, strong presentation skills a must
            • -
            • Must be proficient with technology tools including MS Office, databases and reporting tools
            • -
            • Ability to manage multiple efforts simultaneously, strong project management, reporting, and organizational skills
            • -
            • Demonstrated ability to participate in complex, comprehensive or large projects and initiatives
            • -
            • Sound knowledge of one or more technology controls or security domains, disciplines and practices
            • -
            • Preferred knowledge of financial industry’s technology controls and security risk issues
            • -
            • Strength in prioritizing and managing your own workload to deliver quality results and meet timelines with limited guidance of management
            • -
            • 7+ years’ experience in the area of database technologies in a large organization (experience in a high transaction, large/complex/matrix business environment ideally within Financial Services an asset) including Technology and Cyber-security risk metrics and reporting
            • -
            • Business/technology experience with experience collaborating with others in highly matrix, cross-functional environment
            • +
            • Undergraduate degree/technical certificate or seven (7) or more years relevant experience
            • +
            • Solid understanding of data governance principles and an understanding of data risk and data management
            • +
            • Ability to independently engage with senior leaders, and influence without direct authority, providing guidance and thought leadership on data governance activities
            • +
            • Planning and organizational skills with a strong ability to work in a fast-paced environment and manage multiple deadlines and priorities, ability to manage functional programs independently
            • +
            • Experience with working in both a technical and business context is an asset; able to translate technical concepts into easy-to-understand business language
            • +
            • A team player with the ability to work independently and as part of a larger team with a proven track record of delivering results by demonstrating the ability to take independent action

            Additional Information

            -

            Join in on what others in TD Technology Solutions are doing:

            -
              -
            • Inspire a positive work environment and help champion quality, innovation, teamwork and service to the business.
            • -
            • Learn voraciously, stretch your thinking,
            • -
            -

            #tdcybersecurity

            -
            +#LI-Hybrid

            Hours

            37.5
            @@ -55625,276 +62233,356 @@ bbbf9d0f-7232-4e97-9945-bb276b2bbb9d,210221127,TD Bank Group,Business Intelligen

            Inclusiveness

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            -
            ",,https://jobs.td.com/en-CA/jobs/17470205/business-intelligence-specialist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-03T17:29:04.818Z,False,0,3,15,https://talenthub.vectorinstitute.ai/jobs/210221127-business-intelligence-specialist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17470205/business-intelligence-specialist-toronto-ca/,expired,2023-03-30T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -92a64527-13ed-4ce1-ac52-4640ea3f0241,208690164,BMO Financial Group,"Analyst, Home Financing, Summer 2023 (Co-op/Internship) 4 months",on_site,"Ontario, Canada",2023-03-25T17:12:02.243Z,"
            -

            Address:

            33 Dundas Street West

            -

            -

            Job Family Group:

            Data Analytics & Reporting

            -

            -

            -

            -

            Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

            -
              -
            • Builds effective relationships with internal/external stakeholders.
            • -
            • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
            • -
            • Designs, develops, and implements innovative analytical solutions.
            • -
            • Designs and produces regular and ad-hoc reports, and dashboards.
            • -
            • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
            • -
            • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
            • -
            • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
            • -
            • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
            • -
            • Designs, develops, and implements innovative analytical solutions.
            • -
            • Designs and produces regular and ad-hoc reports, and dashboards.
            • -
            • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
            • -
            • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
            • -
            • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
            • -
            • Analyzes data and information to provide subject-matter insights and recommendations.
            • -
            • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
            • -
            • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
            • -
            • Builds effective relationships with internal/external stakeholders.
            • -
            • Collaborates with internal and external stakeholders in order to deliver on business objectives.
            • -
            • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
            • -
            • Exercises judgment to identify, diagnose, and solve problems within given rules.
            • -
            • Works independently on a range of complex tasks, which may include unique situations.
            • -
            • Broader work or accountabilities may be assigned as needed.

              Qualifications:

              -
            • -
            • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
            • -
            • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Very good.
            • -
            • Technical proficiency gained through education and/or business experience.
            • -
            • Verbal & written communication skills - In-depth.
            • -
            • Collaboration & team skills - In-depth.
            • -
            • Analytical and problem solving skills - In-depth.
            • -
            • Influence skills - In-depth.
            • -
            • Data driven decision making - In-depth.
            • -
            -

            -

            -

            We’re here to help

            -

            -

            At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

            -

            -

            As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

            -

            -

            To find out more visit us at https://jobs.bmo.com/ca/en.

            -

            -

            BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

            -

            -

            Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

            -
            ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Analyst--Home-Financing--Summer-2023--Co-op-Internship--4-months_R230003408?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa&company=99ba898c88ac011c8a873c01f2016c06,feed-importer@jobboard.io,https://jobs.bmo.com/ca/en,,,2023-04-03T17:17:02.673Z,False,0,5,13,https://talenthub.vectorinstitute.ai/jobs/208690164-analyst-home-financing-summer-2023-co-op-internship-4-months-at-bmo-financial-group,,expired,2023-03-25T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -f439d9a0-6062-4293-bdcc-74e525fe933b,227919948,TELUS,"Manager, Data Engineering (MDM)",on_site,"Ontario, Canada",2023-05-21T16:15:05.117Z,"
            -
            -

            Description

            -
            +
            ",,https://jobs.td.com/en-CA/jobs/17566731/data-steward-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-20T17:29:04.993Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/188134079-data-steward-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17566731/data-steward-i-toronto-ca/,expired,2023-01-18T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +384fca3a-1402-4a42-9456-f2e0d4271d7c,179960741,OMERS,"Student, Business Data Analyst (Summer 2023, 8 Month)",on_site,"Ontario, Canada",2022-12-22T17:42:05.006Z,"
            +

            Why join us?

            +

            +

            Are you looking to join an innovative, global real estate company who builds communities and connects people to exceptional places? If so, we would love to tell you our story.

            At Oxford, our culture is truly one of a kind. Across business lines and around the world, we embrace the complex and tackle opportunities with speed and agility. We are ambitious and humble, forward looking and service-focused. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live. We believe that what is good for the environment is good for business. Together we deliver exceptional experiences to our over 2 million daily customers.

            +

            +

            +

            +

            +

            The Operational Excellence and Sustainability team at Oxford Properties Group is looking for a Student, Business Data Analyst to support key data initiatives which will empower our business leaders with the insights and information they need to identify opportunities and make critical decisions.

            +

            +

            We are looking for someone who is passionate about delivering insights, creating business value, and is ready to support the planning and delivery of key data initiatives in the Retail, Residential, and Office sectors. Reporting to the Senior Manager, Analytics & Insights, the successful candidate will receive mentorship, coaching, and guidance throughout their time at Oxford.

            +

            +

            Our portfolio of projects spans our Canadian business and will require interaction with employees at all levels. We are looking for candidates who are analytical thinkers with strong project management skills, demonstrate superb communication skills (written and oral), are comfortable with feedback, and have an interest in delivering large and complex business initiatives.

            +

            +

            This opportunity is for an 8-month term beginning in May 2023.

            +

            +

            Job responsibilities:

            +
            • As a member of the Operational Excellence and Sustainability team, you will be supporting the Senior Manager, Analytics & Insights on key data projects and initiatives. You will be responsible for:
                +
              • Working cross-functionally to explore and propose solutions to business problems that can be addressed using insights derived from data analysis.
              • +
              • Using your analysis and statistical skillset to uncover insights that will drive value for the business.
              • +
              • Working as part of an agile team which may consist of Business Analysts, Domain Experts, Data Scientists and/or Data Engineers to deliver end-to-end analytical solutions.
              • +
              • Developing, deploying, and upgrading PowerBI dashboards and other data products to convey data-backed insights.
              • +
              • Querying, processing, and interpreting key business datasets using tools and languages such as SQL, DAX, Excel and potentially Python or R.
              • +
              • Developing communications materials to report findings, educate business stakeholders, and support project/model documentation.
              • +
              +
            +

            You should apply if you:

            +
              +
            • Have a knack for identifying business challenges and a passion for using data to provide solutions in the form of insights, visualizations, and data tools.
            • +
            • Are pursuing an undergraduate or master’s degree in Analytics, Statistics, Business, Engineering, or Computer Science.
            • +
            • Have experience working with business intelligence tools such as PowerBI, Tableau, or Looker Studio (PowerBI preferred).
            • +
            • Have an understanding and working knowledge of statistics and various analytical techniques to identify and derive insights from data.
            • +
            • Have experience with Excel, SQL, and DAX. Experience with Python or R would be an asset.
            • +
            • Have excellent communication and presentation skills, with the ability to translate sophisticated analytical concepts for a non-data fluent audience.
            • +
            • Are adept at creating materials in MS PowerPoint and are comfortable with learning project management tools (i.e., Asana, DevOps).
            • +
            • Are intellectually curious, self-motivated, and directed, and committed to learning.
            • +
            • Can build strong relationships across the organization at all levels and are a team player.
            • +
            +

            What’s in it for you

            +
              +
            • Be part of a team with an exciting and ambitious mandate, poised to advance and modernize the operations of our ~$18B Canadian Portfolio.
            • +
            • Join a newly developed function, committed to growing and developing our staff. Contribute to the direction and priorities of the team.
            • +
            • Benefit from continuous learning across different functional domains, diverse real estate sectors, and across our Canadian business.
            • +
            • Be part of the student community at OMERS & Oxford.
            • +
            • Start your placement with a robust orientation program to set you up for success during your work term!
            • +
            • Network and attend educational session with different leaders across the business.
            • +
            +

            +

            IMPORTANT: Application Instructions:

            +

            To ensure your application is submitted to our applicant tracking system accurately, please follow the instructions below.

            +

            +

            Please include all required documents (Resume, Cover Letter, Unofficial Transcript, etc.) in one combined file. Your application may be submitted in PDF of Microsoft Word format.

            +

            +

            +

            +

            Our story:

            +

            Oxford Properties Group (“Oxford”) is a leading global real estate investor, asset manager and business builder. It builds, buys and grows defined real estate operating business with world-class management teams. Established in 1960, Oxford and its portfolio companies manage approximately C$70 billion of assets across four continents on behalf of their investment partners. Oxford’s owned portfolio encompasses office, logistics, retail, multifamily residential, life sciences and hotels; it spans more than 150 million square feet in global gateway cities and high-growth hubs. A thematic investor with a committed source of capital, Oxford invests in properties, portfolios, development sites, debt, securities and real estate businesses across the risk-reward spectrum. Together with its portfolio companies, Oxford is one of the world’s most active developers with over 100 projects currently underway globally across all major asset classes. Oxford is owned by OMERS, the Canadian defined benefit pension plan for Ontario\'s municipal employees.

            +

            +

            For more information on Oxford, visit www.oxfordproperties.com

            +

            +

            +

            +

            OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

            +
            ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Student--Business-Data-Analyst--Summer-2023--8-Month-_JR-4357?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-01-20T17:47:06.487Z,False,0,8,36,https://talenthub.vectorinstitute.ai/jobs/179960741-student-business-data-analyst-summer-2023-8-month-at-omers,,expired,2022-12-22T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +c6b0746e-5887-4412-bfe1-034deb81dd1b,188133647,Scotiabank,Global Banking and Markets - THRIVE Summer Internship Program (Canada) - Summer 2023,on_site,Canada : Ontario : Toronto,2023-01-18T17:22:04.272Z,"

            -

            Our team and what we’ll accomplish together

            -

            We are searching for a talented candidate to become our team’s Manager, MDM & Business Operations Insights. Reporting to the Director – Enterprise Data Engineering, the successful candidate will be responsible for leading a team of accomplished data analysts, engineers and architects supporting our data and analytics platform transformation. This role will be an agent of change and support the evolving strategy, data and analytics roadmaps of the enterprise data engineering team. The portfolio will focus specifically on the Master Data Management (MDM) workstream while also driving continuous improvement to our GCP engineering practices (common ingestion framework), CI/CD pipelines, DevOps, SRE, batch and real-time data ingestion, and addressing technical debt. Our team is a cloud first team and leverages the latest technologies to fuel our mission of driving value for TELUS via data enablement.

            -

            What you’ll do

            +

            Requisition ID: 171289

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            -

            At TELUS, we put ‘Customers First’. With a broad set of responsibilities and a high degree of visibility across the TELUS organization, the successful candidate will have the opportunity to:

            +

            Term: June – August 2023

            +

            Application Deadline: 02/02/2023

            +

            +

            Why work for Scotiabank?

            +

            Scotiabank is a leading bank in the Americas. We are powered by our 97,000 high-performing teammates who make a real difference across the globe as a leading provider of advice, products, digital experiences, and financial services. This is a place where you’ll get to learn and develop your skills, while being recognized for your hard work. At Scotiabank, we’re passionate about bringing our whole selves to work, allowing us to create inclusive work environments for everyone to enjoy.

            +

            Global Banking & Markets provides a full range of investment banking, credit and risk management products and services relevant to the financing and strategic development needs of our clients. Our products include debt and equity financing, mergers & acquisitions, corporate banking, institutional equity sales, trading and research, fixed income products, derivatives, energy, foreign exchange, and precious metals. We also cross-sell the full range of wholesale products and services offered by the Scotiabank Group.

            +

            +

            Is this role right for you?

            +

            The THRIVE program is Scotiabank’s premiere rotational program that allows undergraduate students who identify as part of one or more equity deserving groups, the opportunity to job shadow across Global Capital Markets, Corporate Banking, and Investment Banking and gain exposure across banking. For students who are keen on pursuing a career in banking, this program is designed to develop awareness across business lines, technical skills, and interpersonal skills. This program provides life-long learnings by means of job shadowing, mentorship, and classroom style education.

            +

            Furthermore, successful completion of the THRIVE program allows students the opportunity to return in front office internships for the summer of 2024 in Global Capital Markets or Corporate and Investment Banking.

            +

            What will my responsibilities look like?

            -
              -
            • Lead a team of talented data Analysts, Engineers and Architects to drive the modernization of our data platforms
            • -
            • Foster internal and external stakeholder relationships, including managing senior executive participants
            • -
            • Provide guidance to establish standards and best practices for building enterprise grade data pipelines
            • -
            • Work with our preferred Cloud service providers to align our roadmap based on their release schedule for services and product offerings
            • -
            • Construct comprehensive business cases and financial models leveraging various methods to support strategic projects and decisions with data driven insights
            • -
            • Utilize internal and external data points coupled with market research on marketplace dynamics impacting TELUS and the Data Strategy team to inform opportunities and risks for the team
            • -
            • Create technology roadmaps for business partners, executive management, and external audiences to enhance strategic decision making and support technology investment recommendations
            • -
            • Collaborate with key stakeholders to create, track and evolve the team scorecards and strategic imperatives
            • -
            • Support the annual strategic and financial planning process
            • -
            • Flex your communication, negotiation, and influencing skills, working with a broad set of internal stakeholders, executives and external partners
            • -
            • Mentor, lead, and support a diverse and very talented team of data professionals
            • +

              Job Shadowing: Summer analysts will have the opportunity to job shadow across Corporate Banking, Global Capital Markets, and Investment Banking. In this program, you’ll learn the day-to-day across industry sectors and will have the opportunity to apply this knowledge across projects and activities.

              +

              Mentorship: Throughout the summer you’ll also benefit from a mentorship program that pairs you with mentors from Corporate and Investment Banking, and Global Capital Markets to support your learning and answer any questions you might have! You will also attend regular business line fireside talks to learn all the ins and outs of working in CIB and GCM at Scotiabank.

              +

              Classroom: Within the THRIVE program, analysts receive exclusive access to Wall Street Prep courses, coding training, case competitions, Bloomberg learning, and other relevant workshops to polish and develop technical skills. Following your time in the classroom, you will gain exposure to top global executives across the bank to learn from their experiences and network.

              +

              +

              Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

              +
              • You are currently enrolled in an undergraduate program.
              • You are graduating in 2025
              • +You identify as at least one of the following:
                • Female pursuing a STEM (Science, Technology, Engineering, or Mathematics) degree
                • Black
                • Person of Colour
                • Indigenous
                • Person with Disability(ies)
              • You have a proven record of outstanding achievement in academic and extracurricular activities (e.g., part-time work, clubs, case competitions, etc.).
              • You have a clearly defined interest in Finance and a keen desire to learn new concepts.
              • You possess a high level of attention to detail, quantitative skills, and professional standards.
              • You have strong written and verbal communication skills and have strong problem-solving skills.
              +

              +

              We thank all candidates for taking the time to apply; however only those candidates selected for an interview will be contacted.

              +

              +

              How do I apply?

              +

              For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

              +

              +
              1. Complete your PLUM Profile here and save as a screenshot.
              2. Complete a short one-way video interview here.
              3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile and your transcript.
              4. +

              +

              *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

              +

              +

              Scotiabank is committed to providing an inclusive and accessible candidate experience. If you require accessibility accommodations during the recruitment, selection, and/or onboarding processes, please let us know. We will work with you to meet your needs. We value the unique skills and experiences everyone brings to the Bank and are committed to creating and maintaining an inclusive and accessible environment for everyone. Accommodations (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) at any stage of the recruitment life cycle will be provided upon request.

              -
            -
            -
            -

            Qualifications

            -
            -

            -

            What you bring

            +

            +

            -
              -
            • You have experience in technical leadership, managing data platforms, business intelligence tools and setting architectural direction
            • -
            • You can communicate clearly and effectively in both technical and business matters able to translate technical considerations into business implications
            • -
            • You are analytical and outcome-oriented with a proven ability to translate business requirements into high-level design models
            • -
            • You have hands on knowledge of foundational cloud data architecture of lakes, warehouses, data modeling, and life cycle management
            • -
            • You have demonstrated experience with the governance and oversight of data privacy, security and the ethical use of data in previous roles
            • -
            • You have experience with cloud migration projects, agile methodologies, and DevOps practices
            • -
            • You have impressive people leadership track record with proven ability to recruit, coach, mentor and lead high performing teams in a fast-paced environment
            • -
            • You are a skilled relationship builder and skilled at prioritization, negotiation and influencing
            • -
            • You can pivot between supporting the urgent needs of the business and the long-term roadmap
            • -
            • You are flexible, adaptable and embrace ongoing change
            • -
            • You have experience working on and supporting large, complex technical projects that involve multiple stakeholders and business units
            • -
            • You have exposure to tools, technologies and programming languages including, but not limited to, Python, Airflow (composer), SQL, Apache Nifi, Hive, Spark, Dataflow (Apache Beam), Kafka, MDM, IICS & PowerCentre ETL
            • -
            • You have experience creating a vision for and implementing a culture of change to drive CI/CD, DevOps and other opportunities for operational effectiveness
            • -
            +

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Global-Banking-and-Markets-THRIVE-Summer-Internship-Program-%28Canada%29-Summer-2023-ON/566764717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-20T17:27:05.530Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/188133647-global-banking-and-markets-thrive-summer-internship-program-canada-summer-2023-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Global-Banking-and-Markets-THRIVE-Summer-Internship-Program-%28Canada%29-Summer-2023-ON/566764717/,expired,2023-01-18T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +8b7f506f-b487-401c-8217-761682b77683,178993229,Scotiabank,Canadian Banking - Data Analytics Intern/Co-op- Summer 2023,on_site,Canada : Ontario : Toronto,2022-12-19T17:22:02.371Z,"

            -

            Great-to-haves

            -
              -
            • Bachelor of Computer Science or equivalent
            • -
            • 5+ years of progressive and relevant work experience with enterprise data
            • -
            • PMP certification is an asset
            • -
            • Experience with the data offerings in the Google Cloud Platform
            • -
            • Experience in the telecommunications industry
            • -
            • Excellent communication skills and ability to lead a large team
            • -

            +

            Requisition ID: 169775

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            -
            -
            -
            ",,https://careers.telus.com/job/Toronto-Manager%2C-Data-Engineering-%28MDM%29-ON/568709417/,feed-importer@jobboard.io,,,,2023-06-01T16:20:03.641Z,False,0,2,15,https://talenthub.vectorinstitute.ai/jobs/227919948-manager-data-engineering-mdm-at-telus,,expired,2023-05-21T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Manager,Bachelors Degree,New Posting, -79cc96e8-9cdf-4314-938a-3a576cc61d0b,181084205,Scotiabank,Global Banking and Markets - Global Business Payments/Co-Op - Summer 2023,on_site,Canada : Ontario : Toronto,2022-12-26T17:22:02.184Z,"

            +

            Term: May - August

            +

            Application Deadline: 01/20/2022

            +

            There's no better way to find your dream job than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

            +

            Is this role right for you? In this role, you will:

            -

            Requisition ID: 170184

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            +
            • Proactively identify data needs and manage data collection.

            • Gather business and data requirements to clearly outline business problems, opportunities, and solutions.

            • Follow analytical frameworks: hypothesis development, collecting, preparing, and combining the data from multiple data sources, analyzing data, validation, drawing conclusions, assessing risks, and developing actionable recommendations for the organization.

            • +
            +
            • Build and present strong data driven business cases to drive strategies.

            • Leverage SQL, Python, and data visualization software (Power BI) to develop analytical models that support strategic initiatives and improve business processes.

            • Create reporting through Excel, or PowerPoint.

            • +

            -

            Term: May-August 2023

            -

            Application Deadline: 01/23/2023

            -

            -

            There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

            -

            -

            Global Banking & Markets provides a full range of investment banking, credit and risk management products and services relevant to the financing and strategic development needs of our clients. Our products include debt and equity financing, mergers & acquisitions, corporate banking, institutional equity sales, trading and research, fixed income products, derivatives, energy, foreign exchange and precious & metals. We also cross-sell the full range of wholesale products and services offered by the Scotiabank Group.

            -

            +

            Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

            -

            Is this role right for you? In this role, you will:

            -
            • Understand and Contribute to the Business Line Strategy by delivering actionable recommendations based on profitability analysis, market trends, policy analysis and end-to-end process enhancements
            • Support day to day strategic pricing group activities
            • Interact with Sales, Business Support Centre, Technology teams and Product Labs on the development and enhancements of different pricing & billing systems minimize revenue leakage and enhance functionalities
            • Data Analytics: Conduct analysis on portfolio composition, pricing structures, vintages of expired agreements, discount levels, client volumes, renewals, depth of relationship, etc. Use data analytics to provide pricing recommendations and/or policy changes
            • Recommend solutions to improve customer experience, product pricing, service and/or process
            • Conduct impact assessments (on customers, operations and risk) when changes affecting processes are proposed
            • Assist with new projects and provide input into the review of business requirements, including supporting technology initiatives
            • Maintain a culture of risk management and control supported by effective processes and ensure all systems and processes are in compliance and meet all regulatory requirements
            • +
              • You are currently enrolled in post-secondary education.

              • You love to learn and envision yourself working for an international organization that heavily invests in your future.

              • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions.

              • You have strong knowledge of analytical tools and languages such as SQL, Python, Power BI, SAS, etc.

              • You have a high level of competency with MS Office suite, especially Excel.

              -

              -

              -

              Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

              -
              • You are currently enrolled in post-secondary education.
              • You love to learn and envision yourself working for an international organization that heavily invests in your future.
              • You enjoy being involved in extracurricular activities such as conferences, clubs, competitions, and/or hackathons.
              • Enthusiastic self-starter with ability to prioritize and multi-task, working both independently and within a team environment
              • High degree of strategic thinking and comfort in doing financial analysis and business casing opportunities
              • Analytical thinking and an ability to deliver actionable recommendations from analysis in a timely manner
              • Proven ability to assess competitive landscape for produce and make recommendations to close any competitive gaps
              • Strong communication and presentation skills
              • Strong collaborator who engages colleagues and business partners on developing and executing on strategic recommendations
              • Flexibility to adapt and manage within a dynamic business environment
              • Analytic skills, statistical modeling and experience with Python, Access, SQL and VBA is an asset.
              • +
                • You are able to clearly identify and articulate key insights and recommendations.

                • You can work in a fast-paced environment with cross functional teams.

                -

                -

                What’s in it for you?

                -
                • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                • +

                  What’s in it for you?

                  +

                  +
                  • You’ll be part of a diverse, collaborative, innovative, and high-performing team.

                  • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!

                  • +
                  +
                  • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!

                  • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.

                  -

                  -

                  How do I apply?

                  -

                  For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                  -

                  -
                  1. Complete your PLUM Profile here and save as a screenshot.
                  2. -Complete a short one-way video interview here. -
                  3. -Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile. -
                  4. +

                    How do I apply?

                    +

                    +

                    For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                    +

                    +
                    1. Complete your PLUM Profile here and save as a screenshot.

                    2. +
                    +
                    1. Complete a short one-way video interview here.

                    2. +
                    +
                    1. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.

                    -

                    -

                    *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                    -

                    +

                    *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                    -

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Global-Banking-and-Markets-Global-Business-PaymentsCo-Op-Summer-2023-ON/566270417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-18T17:27:06.322Z,False,0,2,16,https://talenthub.vectorinstitute.ai/jobs/181084205-global-banking-and-markets-global-business-payments-co-op-summer-2023-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Global-Banking-and-Markets-Global-Business-PaymentsCo-Op-Summer-2023-ON/566270417/,expired,2022-12-26T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -67f51730-fda9-404d-b48d-441155464b87,187137033,RBC,"2023 Summer Student, Global Risk Analytics",on_site,"Toronto, ON, Canada",2023-01-15T17:16:01.769Z,"
            +

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Canadian-Banking-Data-Analytics-InternCo-op-Summer-2023-ON/566088217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-21T15:41:00.000Z,False,0,8,43,https://talenthub.vectorinstitute.ai/jobs/178993229-canadian-banking-data-analytics-intern-co-op-summer-2023-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Canadian-Banking-Data-Analytics-InternCo-op-Summer-2023-ON/566088217/,expired,2022-12-19T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +0b8e56d8-be6f-4781-b3c3-494035bdf631,178993258,Scotiabank,Manager Credit Risk Provisions and Analytics - Contract,on_site,Canada : Ontario : Toronto,2022-12-19T17:22:04.551Z,"

            +

            +

            +

            +

            Requisition ID: 169609

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            +

            +

            Purpose:

            +


            Contributes to the overall success of the Credit Risk Provisions and Analytics / GRM globally, ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives.

            +

            The Manager takes initiatives to evaluate and improve the Current Expected Credit Loss (CECL) methodology for the Bank’s US subsidiaries, contributes to CECL implementation and provide insights and analytics to senior executives, business lines, and business units.

            +

            +

            Accountabilities:

            +
            • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
            • Works closely with key stakeholders in developing the CECL end-to-end process, which includes project planning, data reconciliation, model implementation, control process, governance and reporting.
            • Contributes to quarterly CECL measurement, analytics, and reporting.
            • Provides support in preparing CECL and IFRS 9 reports to senior management and to the relevant business units; as well as providing analytics on the underlying data.
            • Ensures CECL documentation is up-to-date and in compliance with Model Validation and Audit guidelines.
            • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
            • Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
            • Champions a high-performance environment and contributes to an inclusive work environment.
            • +
            +


            Education / Experience / Other Information:

            +
            • Strong verbal and written communication skills and proven problem-solving skills.
            • Good organizational and analytical skills.
            • Experience in Python, SQL and statistical modelling.
            • Comfort and experience working in a project context and juggling multiple competing priorities
            • Critical thinking skills and ability to work under tight timelines.
            • Bachelor / Master’s in Accounting, Business, Finance, Economics, Mathematics, Engineering or Statistics.
            • Professional qualification such as CPA / CMA/ CGA / CFA is an added advantage.
            • +
            +

            +

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Manager-Credit-Risk-Provisions-and-Analytics-Contract-ON-M5H1H1/566058017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-21T15:57:16.521Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/178993258-manager-credit-risk-provisions-and-analytics-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager-Credit-Risk-Provisions-and-Analytics-Contract-ON-M5H1H1/566058017/,expired,2022-12-19T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +dc23bc39-6e46-482d-a633-0266eada74b6,178993395,KPMG,"Business Analyst (Full Time, New Grad), Tax Transformation & Technology",on_site,"Toronto, Canada",2022-12-19T17:26:01.791Z,"Overview

            At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

            Do work that matters, supported by a community that values difference and cares about you. Gain learning that’ll last you a lifetime and be recognized for the impact you make. With a focus on encouraging employees to come as they are, KPMG provides its employees with a variety of unique tools and support systems that ensure they thrive and make their mark in their career and in their communities

            Why KPMG Tax Transformation?

            Global disruption and the dynamic tax landscape are driving tax leaders to seek opportunities to transform their operating model and leverage technology to create efficiencies, increase accuracy, and enhance transparency. These opportunities for change come as a result of improved tax automation, advances in tax technology and data analytics, and heightened tax leader ability to apply tax transformation best practices to reduce tax risk, manage exposure, enhance compliance, and thereby maintain a competitive advantage.

            KPMG’s multi-disciplinary Tax Transformation team combines accounting, tax and technology expertise with Lean Six process engineers to ensure they are able to address the specific needs and challenges of our clients. We can help tax leaders establish a clear tax vision and formulate effective tax operating models aligned to the overall business objectives of the wider organization. Through the considered use of these tax transformation processes and strategies, we can help transform your organization’s tax function to deliver value, support the implementation of effective risk management controls, and provide benchmarks and key performance indicators that demonstrate success.

            As part of the team, you will work shoulder-to-shoulder with businesses to help them design and implement their target operating model. By leveraging advanced tax automation and tax data technologies, KPMG helps our clients successfully navigate their tax transformation journey. From reviewing processes to resourcing and more, our experienced team of professionals takes a holistic view and uses a personalized approach to developing effective, right-sized solutions for our clients. The result: a finely tuned tax function aligned to match your strategic vision and complement your business objectives.

            KPMG Tax Transformation has an exciting opportunity for Business Analysts/Consultants to join our team full time in Spring 2023!

            Please note that this is a full-time opportunity for recent graduates.


            What you will do

              +
            • Apply accounting/finance acumen and technology skillsets to solve client problems and assist with tax consulting deliverables
            • +
            • Assist with day-to-day delivery of tax transformation projects for clients, and supporting client deliverables using a variety of technologies and tools
            • +
            • Assist on client initiatives to identify opportunities to improve existing tax operating models, processes and tax technology
            • +
            • Work with our managers to understand client(s) existing processes and propose new solutions
            • +
            • Participate in collaboration/design sessions with the business, clients and our team
            • +

            What you bring to the role

              +
            • A keen interest in finance, accounting, tax, or similar business disciplines
            • +
            • A keen interest in computer science, technology, innovation and improving processes
            • +
            • Enjoys problem solving using business acumen and computer programming
            • +
            • Willingly takes on and learns new skills - although you may not know all the technologies and/or have tax experience, you’re willing to learn quickly and apply it effectively.
            • +
            • Excels in a fast-paced environment - We’re a client service firm and we take pride in what we do and how we do it in tight deadlines
            • +
            • Has a Team First Mentality – We’re a tightly knit team that lean on each other and teach each other
            • +
            • Able to interact with co-workers, management and clients alike in a manner that is respectful and understanding
            • +
            • Demonstrates the ability to handle multiple priorities
            • +
            • Has strong time-management and self-motivation abilities, with a great sense of ownership
            • +

            Keys to your success:

              +
            • Recently completed a degree in an associated field such as Business Administration and Math/Computer Science Double Degree, Computing and Financial Management Degree, Management Engineering, or similar
            • +
            • Familiarity with any of the modern programming languages which could include, but is not limited to SQL, HTML & CSS, Python, Jscript, Java
            • +
            • Experience with Microsoft Excel VBA, Microsoft Power Platform (Power BI, Power Query), UiPath or other similar RPA products, SharePoint and/or Azure would be an asset
            • +
            • Your thought process on how you can see the whole picture and not just the one object to be coded
            • +
            • A growth mindset
            • +

            To apply:

            Please apply directly to KPMG at kpmg.ca/careers

            Applications close on January 31st, 2023 at 11:59 PM ET.

            Our online application system will allow you to include up to five documents without losing your formatting. Applications can be addressed to Hiring Manager and must include a cover letter, resume and an electronic copy of your most recent transcript. If you do not have access to an electronic copy of your transcript, we ask that you attach a screenshot of your grades from your school’s website. In the application questionnaire, you’ll be able to indicate your preference for position type and office location. For an easy application process, please PDF all documents into one PDF file.


            If you experience any difficulties, please contact ca-fmadvisoryrecruitment@kpmg.ca.

            KPMG individuals Deliver Impact | Seek Growth | Inspire Trust and understand that a diverse workforce enables us to deepen relationships and strengthen our business.

            Providing you with the support you need to be at your best

            For more information about KPMG in Canada’s Benefits and well-being, click here.


            Our Values, The KPMG Way

            Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

            KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

            For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

            If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact us at cafmcdnhrsthotline@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778.

            ",,https://careers.kpmg.ca/students/jobs/18667?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2023-01-21T16:11:48.042Z,False,0,10,49,https://talenthub.vectorinstitute.ai/jobs/178993395-business-analyst-full-time-new-grad-tax-transformation-technology-at-kpmg,https://careers.kpmg.ca/students/jobs/18667?lang=en-us,expired,2022-12-19T17:26:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Entry Level,Bachelors Degree,New Posting, +0399b48f-e53b-4778-b922-7510a14ce4e1,191125908,RBC,"Senior Manager, Portfolio Management & Analytics",on_site,"Toronto, ON, Canada",2023-01-30T17:16:02.356Z,"

            Come Work with Us!

            At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

            Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

            -

            Job Title

            2023 Summer Student, Global Risk Analytics

            +

            Job Title

            Senior Manager, Portfolio Management & Analytics

            Job Description

            -

            What is the opportunity?

            -

            Global Risk Analytics (GRA) is the center of expertise for models used in risk measurement of market and counterparty credit risk for trading book. Given the increasing importance of assessing the financial impacts of climate change to financial institutions, GRA is also building expertise in climate risk analytics to support RBC’s various climate risk stress testing and scenario analysis mandates (e.g., CCAR in US, ICAAP in UK).

            -

            In particular, GRA has model development ownership for several regional climate risk scenario analysis models, covering both transition risk (posed to clients in transition to low-carbon economy) and physical risk (posed by acute weather events) for different asset classes (e.g., corporate bond, municipal bonds, real estate, and wholesale loans). The team is also developing machine-learning models to assess the TCFD (Task Force on Climate-Related Financial Disclosures) and sustainability reports by clients in different industry sectors.

            +

            What is the Opportunity?

            +

            As Senior Manager, Portfolio Management & Analytics, you will report to the Director, Portfolio Mgmt and Analytics. The Senior Manager will have full ownership of Stage 3 Provision for Credit Losses (PCL) portfolio analytics for the retail Credit Cards portfolio, identify trends, develop insights and new methods to assess PCL per evolving regulatory requirements, and make recommendations to Portfolio Management & Credit Strategies (PM&CS) on performance and loss forecasting.

            -

            Climate risk analytics is an emerging field. Institutions around the world (e.g., regulators, banks, vendors, etc.) are grappling with the challenges in how to enhance the data, scenario design, and methodology. At this stage, GRA is currently developing a unified platform to onboard different “climate risk + machine learning” modules, and potentially utilizing open-source data (if deemed appropriate) for research purposes.

            +

            This role gives the incumbent the opportunity to build on these strengths: cross-enterprise mindset, understanding of consumer behavior and RBC risk appetite, and adaptability to the dynamic credit environment. This position specializes in insight-generation through in-depth portfolio analytics with a focus on Stage 3 PCL.

            -

            GRA is seeking an individual who is interested in applying data analytics and programming skills to empower our climate risk analytics capability. The intern student will be involved in researching open-source data platforms for climate risk, and developing Python-based tools for climate risk related analytics and machine learning applications. The candidate will learn data analytics and machine learning with applications in climate risk.

            What will you do?

              -
            • Assist to research open-source data and analytics platforms, such as OS-Climate, Oasis, Climate Analytics CIE, WRI Aqueduct, World Bank CCKP.
            • -
            • Identify use cases of the open-source platforms.
            • -
            • Assist to design and implement Python-based tools for climate risk related applications.
            • -
            • Make presentation to senior people in risk
            • +
            • Lead reviews around Stage 3 PCL portfolio analytics for Cards and identify trends that support recommendations on PCL mid-month and month end estimates sent to P&CB and GRM Senior Management, Five Year Outlook, Annual Plan and quarterly forecast.
            • +
            • Lead deep dive analytics and provide early warning indicators to facilitate recommendations for areas of concern to highlight to executives.
            • +
            • Develop enhanced monthly dashboard that provides transparency on Stage 3 PCL performance for increased awareness of senior leadership around the largest portfolio within Canadian banking balance sheet.
            • +
            • Lead, as subject matter expert, in all manner of data mining activities towards PCL applications (activities include, but are not limited to: data analysis, aggregation, interpretation, and recommendation).
            • +
            • Lead preparation of Executive level presentation for PMCS, GRM and Sr. Management and Investor Relations which provides an early quarterly view of emerging Cards credit risk profile.
            • +
            • Assist Sr. Director, Portfolio Management & Analytics in preparing Executive level presentations for VP PMCS to present at P&CB Operating Committee’s Credit Risk Update.
            • +
            • Support action plans through to implementation
            • +
            • Develop and execute routines to measure and monitor effectiveness of policy and process changes to determine success and make adjustment recommendations where required
            • +
            • Support PM&CS initiatives, analytics, and adhoc requests as required

            +

            What do you need to succeed?

            +

            Must-have

              -
            • Strong programming experience in Python and SQL.
            • -
            • Knowledge about machine learning, data analytics, and data visualization
            • -
            • Ability to communicate technical matters in written and oral forms
            • -
            • Team players to collaborate and innovate
            • +
            • Degree in Economics, Statistics or other quantitative field of study
            • +
            • Excellent interpersonal and communication skills (oral and written)
            • +
            • 5+ years related work experience with SQL, SAS or equivalent programming experience, and proficiency in MS Excel and PowerPoint
            • +
            • Ability to be effective and equally conversant in business and technical environment
            • +
            • Proven analytical skills
            • +
            • Strong understanding of consumer behavior and credit risk
            • +
            • Proven ability to connect process, policy, system, and data together and establish impact when any of the above changes
            • +
            • Collaborative and supportive attitude
            • +
            • Creative thinker to solve complex problems
            • +
            • Ability to impact and influence is critical as this is a leadership position

            -

            Nice-to-have

            +

            Nice-to-have

              -
            • Interest in learning about emerging data and techniques to assess climate risk impact.
            • -
            • Understand of the big picture regarding how risk function works in banks
            • -
            • Knowledge of financial products in trading book and banking book.
            • +
            • Knowledge of Teradata, DB2, Oracle, Tableau, Python
            • +
            • Working knowledge of Personal Financing Products.

            What’s in it for you?

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

              -
            • Leaders who support your development through coaching and managing opportunities
            • +
            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation
            • Ability to make a difference and lasting impact
            • Work in a dynamic, collaborative, progressive, and high-performing team
            • -
            • Opportunities to do challenging work and make a difference
            • -
            • Opportunities to building close relationships
            • +
            • Opportunities to take on progressively greater accountabilities +
            • +
            • Leaders who support your development through coaching and managing opportunities

            -

            Job Summary

            Apply data analytics and programming skills to empower our climate risk analytics capability. The intern student will be involved in researching open-source data platforms for climate risk and developing Python-based tools for climate risk related analytics and machine learning applications.

            Address:

            TORONTO, Ontario, Canada

            City:

            CAN-ON-TORONTO

            Country:

            Canada

            Work hours/week:

            37.5

            Employment Type:

            Full time

            Platform:

            Group Risk Management

            Job Type:

            Student/Coop (Fixed Term)

            Pay Type:

            Salaried

            Posted Date:

            2022-12-12-08:00

            Application Deadline:

            2023-01-15-08:00
            +

            Job Summary

            The Senior Manager will have full ownership of Stage 3 Provision for Credit Losses (PCL) portfolio analytics for the retail Credit Cards portfolio, identify trends, develop insights and new methods to assess PCL per evolving regulatory requirements, and make recommendations to Portfolio Management & Credit Strategies (PM&CS) on performance and loss forecasting.

            Address:

            TORONTO, Ontario, Canada

            City:

            CAN-ON-TORONTO

            Country:

            Canada

            Work hours/week:

            37.5

            Employment Type:

            Full time

            Platform:

            Personal and Commercial Banking

            Job Type:

            Regular

            Pay Type:

            Salaried

            Posted Date:

            2022-12-12-08:00

            Application Deadline:

            2023-02-04-08:00

            Inclusion and Equal Opportunity Employment

            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
            ​​​​​​​
            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

            Join our Talent Community

            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

            -
            ",,https://jobs.rbc.com/ca/en/job/R-0000041240/2023-Summer-Student-Global-Risk-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-01-18T17:21:03.876Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/187137033-2023-summer-student-global-risk-analytics-at-rbc,,expired,2023-01-15T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -17c943e5-868e-45eb-b8e2-e57a83a6506a,179957841,BMO Financial Group,"Manager, North American Customer Contact Centre Analytics",on_site,"Ontario, Canada",2022-12-22T17:12:02.364Z,"
            -

            Address:

            55 Bloor Street West

            +
            ",,https://jobs.rbc.com/ca/en/job/R-0000040735/Senior-Manager-Portfolio-Management-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-02-09T17:21:02.463Z,False,0,2,12,https://talenthub.vectorinstitute.ai/jobs/191125908-senior-manager-portfolio-management-analytics-at-rbc,,expired,2023-01-30T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +b70458dc-ae54-4a92-8cff-b13f16604e07,186275008,Google,"Research Intern, PhD, Summer 2023",on_site,"Toronto, ON, Canada",2023-01-12T17:20:02.475Z,"
            +
            +2022-12-07T11:04:26.957Z
            +
              +
            • Share
            • +
              Save +
            • +

            Research Intern, PhD, Summer 2023

              +
            • Google
            • +
            • In-office:
              + Waterloo, ON, Canada +
            • +
            • + 2 more locations
            • +
            +
            +
            +

            Please complete your application before March 31st, 2023 . Participation in the internship program requires that you are located in Canada for the duration of the internship program.

            +
            This internship is intended for students who are currently pursuing a PhD degree program in Computer Science or a related field with an anticipated graduation date on or after December 2023, depending on their program and unique circumstances. If you are graduating after December 2024, we encourage you to apply to the Student Researcher opening.
            +
            +

            To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English (PDFs preferred). Please ensure your anticipated graduation dates (in MM/YY) and any proficiency in coding languages are listed on resume.


            Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Toronto, ON, Canada; Montreal, QC, Canada.

            +
            +

            Qualifications

            +

            Minimum qualifications:

            +
              +
            • Currently enrolled in a PhD degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or a related technical field.
            • +
            • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Developing).
              +
            • +
            +

            Preferred qualifications:

            +
              +
            • Currently attending a degree program in Canada and available to work full time for a minimum of 12 weeks outside of university term time.
              +
            • +
            • Anticipated graduation by December 2023 or returning to a degree program after completion of the internship.
              +
            • +
            • Experience contributing research communities or efforts, including publishing papers in major conferences or journals.
            • +
            • Experience with one or more general purpose programming languages.
            • +
            • Experience with one or more general purpose programming languages (e.g., Python, Java, JavaScript, C/C++, etc.).
              +
            • +
            • Ability to speak and write in English fluently.
            • +
            +
            +
            +
            +

            About the job

            +

            Join us for a full-time, 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. Research happens across Google everyday, in many different teams. Our research has already impacted user-facing services across Google, including Search, Maps, and Google Now, and is central to the success of Google Cloud and our planet-scale computing, storage, and networking infrastructure.

            Research Interns work closely with Developers to discover, invent, and build at the largest scale. Ideas may come from internal projects. From creating experiments and prototyping implementations to designing architectures, Research Interns work on challenges in artificial intelligence, machine perception, data mining, machine learning, natural language understanding, privacy, computer architecture, networking, operating systems, storage and data management, etc.

            +

            Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

            Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

            +
            +
            +
            +

            Responsibilities

              +
            • Develop and execute a research agenda.
            • +
            • Create and support a productive and innovative team, including working with peers, managers, and teams.
            • +
            +
            +

            Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

            Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

            To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

            To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

            At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

            We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

            Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

            +
            +
            +
            ",,"https://careers.google.com/jobs/results/74595809733026502-research-intern-phd-summer-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-02-11T20:51:37.146Z,False,0,25,88,https://talenthub.vectorinstitute.ai/jobs/186275008-research-intern-phd-summer-2023-at-google,,expired,2023-01-12T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,PhD,New Posting, +de0ec855-e80d-4025-a215-5c3cba789a21,191125310,BMO Financial Group,"Manager, Quantitative Analysis & Strategy",on_site,"Ontario, Canada",2023-01-30T17:12:02.280Z,"
            +

            Address:

            100 King Street West

            Job Family Group:

            Data Analytics & Reporting

            +

            The Quantitative Analysis and Strategy (QAS) team works closely with Corporate Treasury internal Structured Market Risk, Liquidity & Funding, and Portfolio Management partners and Lines of Business partners across the bank in identifying and quantifying risks and opportunities through analytical support and statistical model development. The analysis and modeling work cover areas of mortgage, home equity, C&I and CRE loans, consumer & commercial deposits, various securities including MBS, ABS, Muni bonds, etc.

            +

            +

            The Manager of QAS team in Corporate Treasury will be responsible for developing, enhancing, implementing and maintaining quantitative models and analytics suites using conventional econometric and machine learning techniques for the purposes of asset liability and interest rate risk management, customer analytics and profitability, and stress testing under various macro-economic scenarios. This involves analyzing large account-level and transaction-level data, articulating the problem statement, and specifying the most appropriate quantitative solution.

            -

            Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes for the North American Customer Contact Centre (NACCC). Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

            +

            Applies knowledge of advanced analytic algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

              -
            • Acts as a trusted advisor to assigned business/group.
            • -
            • Leads the design, development, and implementation of analytic solutions.
            • -
            • Identifies emerging issues and trends to inform decision-making.
            • -
            • Recommends and implements solutions based on analysis of issues and implications for the business
            • -
            • Ensures alignment between stakeholders about business needs and data needs.
            • -
            • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
            • -
            • Designs, develops, and implements innovative analytical solutions.
            • -
            • Designs and produces regular and ad-hoc reports, and dashboards.
            • -
            • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
            • -
            • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
            • -
            • Cleanses, manipulates, and transforms data through programming / scripting for model training and validation.
            • -
            • Automates validation tests to improve quality and efficiency of the validation process.
            • -
            • Validates and tests models used in analytics and reporting to assess/address performance and compliance.
            • -
            • Conducts various pre-implementation and post-implementation analyses to estimate/measure business impact caused by model adoption (e.g., revenue increase, cost reduction, corporate brand image).
            • -
            • Promotes reporting automation, self-serve analytics consumption, and the culture of analytics-driven decision making.
            • -
            • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
            • -
            • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
            • -
            • Designs, develops, and implements innovative analytical solutions.
            • -
            • Designs and produces regular and ad-hoc reports, and dashboards.
            • -
            • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
            • -
            • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
            • -
            • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
            • -
            • Analyzes data and information to provide subject-matter insights and recommendations.
            • -
            • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
            • -
            • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
            • -
            • Builds effective relationships with internal/external stakeholders.
            • -
            • Collaborates with internal and external stakeholders in order to deliver on business objectives.
            • -
            • Focus is primarily on NACCC; may have broader, enterprise-wide audience.
            • -
            • Provides specialized consulting, analytical and technical support.
            • -
            • Exercises judgment to identify, diagnose, and solve problems within given rules.
            • -
            • Works independently and regularly handles non-routine situations.
            • -
            • Broader work or accountabilities may be assigned as needed.

              Qualifications:

              -
            • -
            • Experience with both front and back end development tools (.NET, C#, CSS, HTML, JavaScript) required
            • -
            • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
            • -
            • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - In-depth.
            • -
            • Experience with Power BI Preferre
            • -
            • Deep knowledge and technical proficiency gained through extensive education and business experience.
            • +
            • Understand large, complex historical data and apply data treatment process using SAS, SQL, Python, R etc.
            • +
            • Use Machine Learning and Artificial Intelligence techniques to analyze loans and deposits accounts and customer-level data to specify models or quantitative assumptions that can help Line of Business and Treasury to better understand interest rate risk and customer behavior. Ensure that specification makes business sense.
            • +
            • Write detailed documentation of the developed methodologies, including data construction, methodology specification, results, and testing.
            • +
            • Put together PowerPoint presentations to present the developed methodologies to Line of Business and Corporate Treasury management to explain complex statistical techniques in simple business language.
            • +
            • Communicate with model validation to ensure successful validation of the developed methodologies.
            • +
            • Monitors and tracks developed and future model performance, and address any potential issues
            • +
            • Construct dashboard presentation to assist business decision making and identify model performance issues in a more efficient way
            • +
            • Help with routine processes such as stress testing model runs and annual model reviews.
            • +
            • Assist with ad-hoc analysis requests from Line of Business partners and other Corporate Treasury teams.
            • +
            +

            Qualifications:

            +
              +
            • As a full-time employee, we would require 4 - 6 years of relevant experience, however as part of the BMO campus program, we are looking for motivated individuals with a strong desire to succeed. Post-secondary degree in related field of study is preferred.
            • +
            • Knowledge of visualization techniques and concepts.
            • +
            • Knowledge of distributed computing and/or distributed databases.
            • +
            • Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, Perl) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
            • +
            • Experience in statistical analysis, data mining, and data cleansing / transformation.
            • +
            • Technical proficiency gained through education and/or business experience.
            • Verbal & written communication skills - In-depth.
            • Collaboration & team skills - In-depth.
            • Analytical and problem solving skills - In-depth.
            • @@ -55911,300 +62599,583 @@ f439d9a0-6062-4293-bdcc-74e525fe933b,227919948,TELUS,"Manager, Data Engineering

              To find out more visit us at https://jobs.bmo.com/ca/en.

              -

              BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

              +

              BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

              +

              +

              Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

              +
            ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Quantitative-Analysis---Strategy_R220025282?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-03-01T18:37:41.546Z,False,0,2,21,https://talenthub.vectorinstitute.ai/jobs/191125310-manager-quantitative-analysis-strategy-at-bmo-financial-group,,expired,2023-01-30T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +1c5a60ad-d563-42f9-9fee-7da2edf28f5c,192002194,Scotiabank,Senior Data Engineer,on_site,Canada : Ontario : Toronto,2023-02-02T17:22:03.586Z,"

            +

            +

            +

            +

            Requisition ID: 172548

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            +

            +

            +

            Job Purpose

            +

            +

            As a Senior data engineer in Data Management, AML/ATF Models and Analytics team, you will contribute to build better way to approach all banking product/service systems data for AML/ATF purpose by using your advanced engineering , analytical and communication skills. This role will be responsible for leading project work in BI reporting, Data Quality and Data Management improvement for AML/ATF model building and performance enhancement. You will design and execute more efficient Data Engineering and Development Operation processes. Also you will lead a highly skilled team of Data Engineers to deliver value to financial crime risk management. This role will work close to Data Governance, technology department as well as AML compliance office to provide guidance and business requirement for ensuring success in the management of the critical data elements used by all AML/ATF models in order to comply with the corporate audit and regulatory standards.

            +

            +

            Accountabilities

            +

            +

            • Lead team to Deep Dive into banking product/service sources data , performing data profiling and analysis to determine better dimmensional/Hierarchical data for AML/ATF model and predict data analysis.
            • Lead team to use latest cloud and computing technology to deliver end to end infrastructure that raise the bar on AML analytic innovation and quality.
            • Hands-on ownership architecting and developing highly scalable and highly available applications in Hadoop or Cloud
            • Act as a subject matter expert for AML/ATF initiatives, working with project senior leadership providing an understanding of the increased risk of AML/ATF associated with implementation of the initiative and developing FIU business requirements to mitigate these risks.
            • Provide data expertise and identify data patterns within banking data to help identify different types of AML risks.
            • Leading data quality assessment for AML/ATF models and work with Technology partners to solve data quality issues and mitigate AML risks
            • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge
            • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct

            +

            Skills / Experience

            +

            +

            • Strong knowledge of Big Data framework and building scalable applications in Cloud, such as Microsoft Azure etc.
            • Strong knowledge of banking product/service and backend data lifecycle, international wire (SWIFT and NOT SWIFT) will be asset.
            • Strong effective communication skills and manage expectations with diverse groups or stakeholders
            • Experienced programming in such as Python, PySpark, Scala and building dataset and data flow in Power BI
            • Experienced with databases such as Oracle, SQL Server, PostgreSQL
            • AML/ATF experience or analytic knowledge
            • Oracle Mantas Application experience and knowledge

            +

            Education

            +

            +

            • Bachelor's degree in business, finance, or engineering
            • Strong experience with data modelling and data analysis
            • Minimum of 3 years of relevant experience in AML/ATF

            +

            +

            +

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Engineer-ON-M5H1B6/567387617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-03-04T19:47:36.833Z,False,0,2,19,https://talenthub.vectorinstitute.ai/jobs/192002194-senior-data-engineer-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Engineer-ON-M5H1B6/567387617/,expired,2023-02-02T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +8d8b0a92-84b5-4ca9-9e61-c72c8c671b97,198988055,Accenture,1008: Solutions Architect,on_site,"Toronto, ON, Canada",2023-02-23T17:29:02.613Z,"
            +

            Job Description

            +
            +

            Title: Solutions Architect

            +

            +

            The role is part of the Global Data & Analytics function for Accenture Marketing + Communications and is overseen by the Reporting and Data Management lead. The role entails building, developing, and maintaining data models, reporting systems, data automation systems and dashboards that support key business decisions.

            +

            +

            The role requires:

            +
              +
            • Technical conceptualization, design, build out and optimization of Data & Analytics reports

            • +
            • Ingest automation development and implementation of all data sources

            • +
            • ETL package creation using various sources e.g. Files, Databases etc., Data conversion etc.

            • +
            • Data Modeling, Visualization, Admin- Workspace/Apps/RLS/Gateway refreshes

            • +
            • Scripting- Database views, Tables, Stored Procedures, Functions

            • +
            • Disaster recovery including maintenance of automated DB backups

            • +
            • Oversight for server security audits

            • +
            • Guiding a team of technical resources

            • +
            • Knowledge transfer and upskilling technical resources

            • +
            +

            +

            Specific tools include:

            +
              +
            • Power BI (Data Modeling, Visualization, Admin- Workspace/Apps/RLS/Gateway refreshes etc.)

            • +
            • Microsoft SQL server - SQL server Management Studio (SSMS) - (Databases, SQL Jobs, experience with Scripting- Database views, Tables, Stored Procedures, functions)

            • +
            • Microsoft SQL Server Integration Services (MS SSIS) - ETL package creation using various sources like Files, Databases etc., Data conversion etc.)

            • +
            • Microsoft Azure (DevOps, Azure Cloud Storage)

            • +
            • Microsoft ASP.Net

            • +
            • Google Cloud Platform (GCP) - Big Query

            • +
            • Salesforce

            • +
            +

            show more show less
            +

            Qualifications

            +

            Basic Qualifications:

            +
              +
            • Minimum 5 years of programming experience in complex environments

            • +
            • Bachelor’s degree in computer science or a related field

            • +
            • English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company\'s activities to avoid this requirement.

            • +

            -

            Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

            -
            ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--North-American-Customer-Contact-Centre-Analytics_R220030484?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-01-18T17:17:03.625Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/179957841-manager-north-american-customer-contact-centre-analytics-at-bmo-financial-group,,expired,2022-12-22T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -a0d7f45a-1b0b-45fc-bdc2-86f89f5b2035,186275424,Scotiabank,"Senior Manager, Data Ethics Design & Delivery",on_site,Canada : Ontario : Toronto,2023-01-12T17:22:02.825Z,"

            -

            +

            Preferred Qualifications:

            +
              +
            • Microsoft certifications in SQL Database and PowerBI preferred

            • +
            • Deep and proven knowledge and experience in the following:

            • +
            • Data Architecture

            • +
            • Solution design - Advanced data solutions and implementation

            • +
            • Advanced data modelling and database design

            • +
            • Advanced automation and ETL/ELT design and development

            • +
            • Advanced database administration, monitoring, and optimization

            • +
            • Data lake integration

            • +
            +

            +

            Professional Skills:

            +
              +
            • Excellent problem-solving capabilities

            • +
            • Excellent attention to detail

            • +
            • Proactive approach

            • +
            • Ability to troubleshoot and remediate any issues

            • +
            • Ability to constantly innovate

            • +
            • Team oriented with a passion for learning, excellence and continuous improvement

            • +
            • At ease in complex, demanding environments

            • +
            • Excellent at adapting to constant change

            • +
            • Excellent written and verbal communication skills including ability to communicate with both business and technical audiences and document technical guidelines (approach, process etc.) to industry standards

            • +
            • Demonstrated teamwork and collaboration in a professional setting; either military or civilian

            • +
            +
            +

            Locations

            +
            Ontario - Toronto, Quebec - Montreal
            +
            +
            +

            +Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements +

            +
            +

            Equal Employment Opportunity Statement

            +

            All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

            -

            Requisition ID: 169222

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            +

            Accenture is committed to providing veteran employment opportunities to our service men and women.

            -

            Purpose

            -


            The CIDA team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through a cloud-first strategy, well governed data and innovative analytics to deliver impactful customer insights. The award-winning Data Ethics & Use team, an integral part of CIDA, is helping to drive this transformation by helping the organization embed data ethics into the cultural fabric. The key focus areas are the way data is used, shared, and accessed at an enterprise level.
            The Data Ethics & Use team is industry leading in the field of operationalizing the ethical use of data, including responsible AI. The aim is to provide transparent, robust, and ethical data practices across the enterprise to enhance the protection of our customers’ data, and the way we deliver business value. We are looking to build our delivery team with innovators, forward thinker, technically savvy agile leaders who will continue driving the advancement of data ethics.

            +

            Requesting An Accommodation

            -


            The role of the Senior Manager, Design and Delivery, Data Ethics & Use will:

            -


            • Be the product owner for our Data Ethics & Use tools and technologies
            • Be viewed as a leader for data ethics technology by key partners, including our Business, Analytics, Enablement, Architecture, Technology, Information Security, Privacy, Data and AI Risk, Legal, teams, etc to name a few
            • Own the data ethics technical strategy and roadmap on an annual basis
            • Lead definition, development, planning, execution, and implementation of industry leading data ethics tools and processes
            • Enable the Bank’s adoption of the data ethics tools on a global scale (including International Banking)
            • Lead a high-performance team, with focus on coaching and development

            +

            Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

            -


            Key Responsibilities:

            -


            • Identify industry best practices to contribute to the design of the data ethics function to maintain the industry leading position Scotiabank holds as it pertains to data ethics
            • Work closely with Governance and Operations Pillar and Education and Partnerships Pillar to create a comprehensive, holistic, sustainable and customer centric data ethics strategy, and the associated tools and processes that enable the delivery of that strategy
            • Design (or contribute to the design) of data ethics tools and processes and related automation, including other enterprise tools and processes supporting the data ethics mandate; designs must be cloud compatible/scalable
            • Liaise with Data Office, Enablement and Enterprise Technology teams to design, develop, and implement data ethics tools, including managing the delivery risk
            • Work with various stakeholders in a matrix organization
            • Manage the SCRUM process and Kanban board for the projects
            • Create project plans, maintain JIRA board and Confluence, as needed
            • Create acceptance criteria for features being released and perform UAT testing to ensure acceptance criteria are met
            • Ensure timely delivery and successful adoption of data ethics tools and processes
            • Work with the Education and Partnership team to design and deploy user interfaces to support successful delivery of automation and education-based tooling
            • Design and deploy an analytics suite to support throughput optimization of data ethics processes by identifying and tracking slippage and anomalies in an automated fashion, working with the Governance and Operations team to incorporate requirements
            • Review, address and incorporate user feedback into our tools and processes, as required
            • Work with the Governance and Operations team to design solutions to mitigate pain points in operational throughput
            • Create and update procedural artifacts to support the rollout and operationalization of data ethics tools and processes (Governance and Operations has accountability over the process)
            • Provides advice, counsel, and process enhancements for Data & Analytics with respect to tools and procedures that incorporate the Data Ethics tools, for example, within Universal Catalogue
            • Ensure consistency and alignment on best practices across the organization.
            • Manage the enterprise data sensitivity dictionary and partner with internal stakeholders to ensure proper usage and timely updates
            • Work closely with representatives across the bank to ensure all activities are conducted in compliance with internal policies & procedures and emerging governing regulations
            • Develop strong working relationships with partners across the organization, to ensure consistency and alignment on best practices
            • Review business stakeholders’ implementation of data ethics framework for quality assurance and compliance
            • Track and report on process performance and adherence, identifying areas of improvement and recommending practical and innovative solutions
            • Participate in planning and retrospective sessions, attend stand-ups, etc. - we work in an agile environment
            • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
            • Lead a high-performance team-this is a people manager role where development and coaching is a focus
            • Champion a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment, communicating vison/values/business strategy and managing succession and development planning for the team

            +

            If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

            -


            Functional Competencies:

            -


            • 5+ years of experience in business/financial services; or a post-secondary education in computer sciences, programming, or a similar vocation
            • Strong technical acumen
            • Project management skills in order to handle diverse projects, often simultaneously, and meet aggressive deadlines
            • Worked in (or at the very least has a very strong understanding of) agile and/or scrum
            • A high level of interpersonal and presentation skills at all levels including the Executive Management Level
            • Able to work in a matrixed organization that has multiple stakeholders
            • Ability to present ideas and facilitate discussions to build consensus at all levels
            • Strong communication skills, both written and spoken, and an ability to convey technical concepts into “layman terms”
            • Results orientation and pragmatic approach to decision-making
            • Ability to work independently and solve complex problems through a collaborative style
            • Self-motivated, solution driven individual and adaptable to a fast-paced environment
            • Ability to exercise good judgment in selecting methods and techniques for obtaining solutions
            • Ability to increase operating efficiency and produce high quality technical solutions
            • Knowledge and understanding of data governance, data policy, privacy would be considered an asset
            • Ability to drive success in a high performing, flexible and small team environment

            +

            Other Employment Statements

            +

            Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

            -

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Ethics-Design-&-Delivery-ON-M5A3X5/565902317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-16T21:45:00.000Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/186275424-senior-manager-data-ethics-design-delivery-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Ethics-Design-&-Delivery-ON-M5A3X5/565902317/,expired,2023-01-12T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -d82e3275-d172-4d4f-9a7f-d8ebad063a9f,179959643,RBC,"Senior Manager, Analytics & Insights",on_site,"Toronto, ON, Canada",2022-12-22T17:16:02.840Z,"
            -

            Come Work with Us!

            At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

            Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

            -

            Job Title

            Senior Manager, Analytics & Insights

            +

            The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company\'s legal duty to furnish information.

            +
            +
            +
            Share
            +
            Share
            +
            Job Link:
            Copy
            +
            +
            +
            ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00143516_en&title=1008%3a+Solutions+Architect,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2023-03-06T17:34:02.713Z,False,0,1,19,https://talenthub.vectorinstitute.ai/jobs/198988055-1008-solutions-architect-at-accenture,,expired,2023-02-23T17:29:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, +100b5663-dcba-474c-916c-db46eec6bfb8,197116622,Sun Life Financial,"Director, Data Science (Fixed Term)",on_site,"Ontario, Canada",2023-02-16T17:41:02.187Z,"
            +

            You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

            -

            Job Description

            -

            What is the opportunity?

            -

            The PSI (Personal Savings & Investments) Strategy & Analytics team collaborates with all Mutual Fund Distribution, GIC & Savings and Direct Investing product owners to support the creation and evolution of cross PSI LOB strategies.

            -

            In this role, you are responsible for generating, translating, and supporting world class product insights that enhance RBC’s client experience, drive business results, and increase loyalty to all PSI products. You will serve as the primary business liaison to PSI LOBs for data, analytics and insights. By establishing strong collaborative relationships with leaders across the LOBs, you will support and deliver business insights that drive results for the PSI platform.

            +

            +

            Job Description:

            +

            +

            Role Summary

            +

            +

            The role is within Sun Life Canada, Chief Data and Analytics office (CDAO). Within CDAO organization, Data Science COE partners with Canadian business units to provide thought leadership and realize business value from AI/ML.

            +

            Director, Data Science CoE will be reporting to the AVP, Data Science COE. The primary focus of the Director, Data Science CoE position will lead discovery, prioritization, and implementation of use cases leveraging AL/ML and delivering AI/ML products. The role will coach/develop a high performing team with business empathy and last mile AI/ML value realization mindset.

            +

            +

            This is a fixed term position for 14 months to replace a full-time employee on parental leave. This role offers partial benefits and 4 weeks vacation.

            What will you do?

            -

            Drive all LOB’s critical business imperatives to unlock growth and develop client’s product loyalty to RBC

              -
            • Work with the Sr. Director and LOB leads to leverage product and client insights that impact and influence the delivery of business strategies and tactics and to balance near, mid, and long-term business growth
            • -
            • Work closely with internal clients to support their product analytics requirements in order to ensure the delivery of timely, and relevant Insights that are aligned against critical business imperatives
            • -
            • Support the alignment of analytics across PSI to improve efficiency in strategic insights and maximize LOBs growth potential
            • -
            • Support the definition and adoption of key platform-focused client centric business strategies and tactics including: Client Acquisition & Onboarding; Activation & Cross Sell; Reactivation & Retention strategies
            • -
            • Data and Reporting Capability Development (Tools, processes, procedures)
            • -
            • Drive continuous improvement to PSI reporting tools, processes, policies, and procedures
            • -
            • Provide thought leadership across the organization in representing the added value of enhanced PSI client knowledge and product insights in delivering sustainable differentiation and business results
            • +
            • Identify gaps and opportunities to Improve existing AI/ML products and user experience

            • +
            • Consult business units with thought leadership to uncover potential opportunity in AI/ML use cases, drive use case identification and prioritization basis potential value at stake

            • +
            • Build/deliver to the roadmap to develop/implement AI/ML products with a team of data-scientists, data engineers and business focused product owners

            • +
            • An active contributor to data science modernization initiative to bring in relevant ML build and ops infrastructure and tooling in partnership with global technology function

            • +
            • Champion and support diversity and inclusion

            -

            What do you need to succeed?

            -

            Must-have:

            +

            +

            What will you need to succeed?

              -
            • A strategic business analytics professional with 4+ years of progressively responsible experience in customer or product insights and analytics.
            • -
            • Ability to lead implementation of product strategies by providing analytical and reporting support focused on data analysis & financial impact
            • -
            • Data mining skills using SAS, SQL, R, or Python; solid technical skill set including the creation and delivery of customer analytics, research and profitability results into business outcomes
            • -
            • Strong critical thinking; demonstrated ability to leverage product insights to draw meaningful conclusions and recommendations; balances the art and science.
            • -
            • An experienced project manager and facilitator who can effectively bring together internal stakeholders in a way that will result in innovative new ideas.
            • +
            • Data science consulting mindset with focus on improving business outcomes from AI/ML. Ability to consult business partners with clear opinions, business empathy and thought leadership in Insurance

            • +
            • A practitioner with proven experience in predictive analytics and machine learning. Hands on experience using on cloud ML solution stack/tools, experience using Python/PySpark/Pandas

            • +
            • AI/ML product champion with experience leading developing, implementing, and maintaining AI/ML products, knowing pitfalls, steering in right direction, and getting things done. Ability to identify learning/tooling gaps and bring in right resources for the team. Ability to conceptualize solution design with focus on architecture, data flow and tooling needed.

            • +
            • A people leader with mindset to keep a high benchmark yet practical lens to improve overall working experience of team members. Ability to lead and manage a team with empathy and bias for meritocracy

            -

            Nice-to-have

            +

            What will be nice to have?

              -
            • Familiar with online tools such as Google Analytics Premium and Tableau
            • -
            • Advanced knowledge of R, Python, SQL or SAS
            • -
            • Ability to code in Scala, JavaScript, JQuery, HTML and related languages an asset
            • -
            • Previous work experience using cloud computing environments (AWS, Google Cloud, Azure) an asset
            • +
            • Experience in consulting (with consulting firms or internal consulting teams) and agile delivery

            • +
            • Experience in life insurance/wealth management, or other financial services industry

            • +
            • Advanced degrees, preferably in a computer science, statistical, mathematical, or technical field

            -

            What’s in it for you?

            -

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

            +

            What is in it for you?

              -
            • Comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
            • -
            • Leaders who support your development through coaching and managing opportunities
            • -
            • Ability to make a difference and lasting impact
            • -
            • Work in a dynamic, collaborative, progressive, and high-performing team
            • -
            • Flexible work/life balance options
            • -
            • Opportunities to do challenging work
            • -
            • Opportunities to take on progressively greater accountabilities
            • +
            • Great Place to Work® Certified in Canada and the US - 2022

            • +
            • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

            • +
            • Competitive salary and bonus structure influenced by market range data

            • +
            • 20 days vacation per year and partial flexible benefits from the day you join to meet the needs of you and your family

            • +
            • A friendly, collaborative and inclusive culture

            • +
            • Being part of our Analytics community, where we share best practices and broaden skill-set

            +

            The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

            -

            Job Summary

            -

            Address:

            TORONTO, Ontario, Canada

            City:

            CAN-ON-TORONTO

            Country:

            Canada

            Work hours/week:

            37.5

            Employment Type:

            Full time

            Platform:

            Personal and Commercial Banking

            Job Type:

            Regular

            Pay Type:

            Salaried

            Posted Date:

            2022-10-03-07:00

            Application Deadline:

            2023-01-15-08:00
            -

            Inclusion and Equal Opportunity Employment

            -

            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
            ​​​​​​​
            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

            -
            -

            Join our Talent Community

            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

            -
            ",,https://jobs.rbc.com/ca/en/job/R-0000031652/Senior-Manager-Analytics-Insights,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-01-16T21:48:00.000Z,False,0,3,11,https://talenthub.vectorinstitute.ai/jobs/179959643-senior-manager-analytics-insights-at-rbc,,expired,2022-12-22T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -bdb0a02c-a23c-4ac0-8b67-dd622a98bfda,179960339,TD Bank Group,Data Scientist III,on_site,"Toronto, ON",2022-12-22T17:24:05.448Z,"
            -

            Company Overview

            -
            -

            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

            -

            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

            -
            +

            Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

            -

            Department Overview

            -
            -

            What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

            -

            As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

            -

            TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

            -

            We are on a journey to enable Environmental, Social, and Governance (ESG) at TD with a Climate Data Solution, that will blend internal and externally sourced data to deliver on key Climate priority areas and use-cases. As a part of this new team, with an enterprise mandate, you will be on the leading edge of the TD ESG journey to enable scale, competency, and business solutions through data and analytics.

            -
            +

            Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

            -

            Job Description

            -
            -

            -

            About this Role

            -

            For this role, we’re counting on your intensive technical leadership to forge our path moving forward. As an emissary of the crucial nature of data science, you’ll work in close proximity others across the bank to identify and pursue new opportunities wherever they lie. You’ll play a crucial role on cross functional teams of data scientists, data and IT engineers and business process owners to build out and implement world-class analytic solutions enterprise wide. You can handle just how much data TD has, and cannot wait to help build statistical models that scale to them.

            -

            We are looking for someone to help parse our vast data and identify needs and analytical trends employing industry leading techniques and theories to improve TD’s business practices enterprise wide.

            -

            As a Data Scientist III, these are the essential qualifications of this role:

            -
              -
            • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core deliverables
            • -
            • Work closely with business owners to find opportunities and serve as an ambassador for data science
            • -
            • Design and deliver enterprise analytic solutions for customers
            • -
            • Develop powerful business insights from social, marketing and industrial data using advanced machine learning techniques
            • -
            • Build complex statistical models that learn from and scale to petabytes of data.
            • -
            • Analytical thought leadership and stay current on developments in data mining and the application of data science
            • -
            • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
            • -
            • Generally accountable for a significant business management area that typically has enterprise wide impact or accountability
            • -
            • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
            • -
            -
            +

            At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

            +

            +

            We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

            +

            +

            Salary Range:

            111,100/111 100 - 177,800/177 800

            +

            Job Category:

            Advanced Analytics

            +

            Posting End Date:

            28/02/2023
            ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Director--Data-Science_JR00075721-2?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-03-06T17:46:01.536Z,False,0,2,19,https://talenthub.vectorinstitute.ai/jobs/197116622-director-data-science-fixed-term-at-sun-life-financial,,expired,2023-02-16T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, +a6bb412d-bad7-4364-b46a-b25001a8752f,218284082,Sun Life Financial,Senior Data Scientist,on_site,"Ontario, Canada",2023-04-24T17:41:03.532Z,"
            +

            You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

            +

            +

            +

            Job Description:

            +
            • +
              +

              Role Summary

              -

              Requirements

              -
              - What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

              -
                -
              • Undergraduate degree or technical certificate
              • -
              • Ten (10) or more years of relevant experience
              • -
              +
              +

              Within Sun Life, the Analytics & Insights teams are comprised of savvy and intellectually curious professionals who are on a mission to transform how we apply data and analytics to support Sun Life becoming client-centric. An integral part of the Analytics & Insights organization, the Data Science team supports Canadian business units in their journey to leverage data and analytics as a foundational pillar in delivering business value

              -

              Hours

              -
              37.5
              +

              Reporting to the AVP, Data Science CoE, as a Senior Data Scientist you will focus on supporting Canadian business units in accelerating the growth and application of analytics in driving value. The senior data scientist will leverage practical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases.

              -

              Inclusiveness

              -

              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

              +

              Sun Life views success in this role in demonstration of these key attributes:

              +

              Fierce curiosity. You are drawn to discovering and leveraging new data and taking on challenging business puzzles. An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing. A passion for solving problems. The most successful data scientists’ solution for what the right data to use, they solve using the most suitable (not most advanced) algorithms for the problem at hand and figure out how to execute and deliver with highest efficiency. Technical skills in both data and computer science. There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured data (SQL) Thirst for learning. You are a data scientist who is constantly updating their knowledge of data science state-of-the-art.

              -
              ",,https://jobs.td.com/en-CA/jobs/16981948/data-scientist-iii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-16T21:47:00.000Z,False,0,1,16,https://talenthub.vectorinstitute.ai/jobs/179960339-data-scientist-iii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16981948/data-scientist-iii-toronto-ca/,expired,2022-12-22T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -889df66b-17ae-4be8-96f3-cd2ac14b8f2a,178993705,OMERS,"Student Analyst, Asset Management",on_site,"Ontario, Canada",2022-12-19T17:42:03.973Z,"
              -

              Why join us?

              -

              -

              Are you looking to join an innovative, global real estate company who builds communities and connects people to exceptional places? If so, we would love to tell you our story.

              At Oxford, our culture is truly one of a kind. Across business lines and around the world, we embrace the complex and tackle opportunities with speed and agility. We are ambitious and humble, forward looking and service-focused. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live. We believe that what is good for the environment is good for business. Together we deliver exceptional experiences to our over 2 million daily customers.

              -

              -

              -

              -

              -

              Why join us?

              -

              Oxford is looking for a Summer Analyst to join our Canadian Asset Management team in Toronto, Canada. The Asset Management team works closely with key internal and external stakeholders in a collaborative effort to drive asset values and investment returns. The Summer Analyst will be responsible for providing analytical support to the asset management business and will gain exposure to all facets of the Canadian business including leasing, operations, development, and investments across Office, Retail and Multi-Residential asset classes.

              +

              What will you do?

              +
                +
              • Be able to engage with business stakeholders to understand business outcomes. Comfortable to translate business goals into analytical problems.

              • +
              • Be able to work in cross functional teams to develop an ML/data science product

              • +
              • Be able to break down broader data science development milestones into smaller goals, activities, and a work plan

              • +
              • Apply best in breed data science including descriptive, predictive and machine learning techniques from the design to implementation that impacts the business.

              • +
              • Focus on Feature Engineering, Model Training and Model Evaluation in addition to data munging / wrangling

              • +
              • Identify the right algorithms and statistical techniques for a specific project as well as the best features for a model. Advise junior members on the same.

              • +
              • Make business recommendations with effective presentations of findings at multiple levels of stakeholders

              • +
              • An active contributing member to the analytics community to help foster and grow the data science community at Sun Life

              • +
              • Champion and support diversity and inclusion

              • +

              -

              As a member of this team, you will:

              +

              What will you need to succeed?

                -
              • Provide support on various ad-hoc tasks including but not limited to major leasing and capital investment decisions, tenant financial performance summaries, drawing insights from historical and budgeted property-level financials, etc.
              • -
              • Assist the Asset Management team in the monitoring of operating and leasing targets as part of the annual budget process
              • -
              • Work closely with the Analyst(s) in analyzing and identifying budget variances on a monthly and quarterly basis
              • -
              • Participate in meetings with Leasing and Property teams to expand knowledge of real estate asset management
              • -
              • Conduct and perform market research and analysis on a regular basis to identify market conditions and trends
              • -
              • Keep current with market trends and update/create market reports and research for internal use
              • -
              • Participating in process improvement initiatives including the creation of data analytics dashboards
              • -
              • Tour Oxford-owned and competitor owned real estate assets to gain understanding of the GTA real estate landscape in various asset classes
              • -
              • Have the chance to attend networking and industry events to build external real estate network
              • +
              • BSc/M.S. in a statistical, mathematical, or technical field (i.e., computer science) or equivalent experience

              • +
              • 3+ years experience in developing and implementing data science techniques (predictive, prescriptive, ML etc.)

              • +
              • Comfortable writing complex SQL queries to extract and integrate data from multiple database sources

              • +
              • Proficient in using one or more statistical programming languages (i.e., Python) for data science

              • +
              • Experience with AWS services including SageMaker

              • +
              • Experience with machine learning including supervised and unsupervised models

              • +
              • Demonstrated experience in data transformation & data manipulation

              • +
              • Experience working with Structured vs. Unstructured data

              • +
              • Experience with Big Data Technologies: Hadoop, HDFS, Hive, HBase, Spark is strongly desirable

              • +
              • Effective and concise oral and written storytelling and insights communication skills

              • +
              • Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities

              • +
              • Ability to document work and effectively prioritize documentation

              • +
              • Ability to work with junior data scientists, data engineers, ML engineers and guide their work if needed

              • +
              • Bilingualism (French, English) required for Quebec only - interactions with English-speaking customers or partners

              -

              To succeed in this role, you:

              +

              What will be nice to have?

                -
              • Working towards completion of an undergraduate or post-graduate degree with a concentration in Commerce, Finance, Data Analytics, Real Estate, Urban Planning or Engineering
              • -
              • Prior internship experience in real estate (asset management, leasing, appraisal, investments or development) considered an asset
              • -
              • Self-motivated individual with a strong work ethic and a high level of attention to detail
              • -
              • Demonstrate an eagerness to learn and respond well to constructive feedback
              • -
              • Strong leadership, interpersonal, verbal and written communication, problem solving and project management skills
              • -
              • Have a flexible attitude towards a variety of work tasks as is required in a small working group
              • -
              • Driven to achieving results and continuously striving to deliver the highest performance through creative thinking
              • -
              • Proficient in Microsoft Excel and PowerPoint
              • -
              • Thrive in organizations that constantly evolve and adapt
              • -
              • Ability to work well under pressure with multiple competing deadlines
              • +
              • Past experience in life insurance/wealth management, or other financial services industry (e.g., retail banking, credit card, property and casualty insurance)

              • +
              • Past experience working in Agile delivery model

              • +
              • Past experience in developing and deploying production grade model in cloud infrastructure

              -

              What’s in it for you

              +

              Unique Requirements

              +

              +

              The candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the information on Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

              +

              +

              What\'s in it for you?

                -
              • A team that is ready to focus on your growth and development
              • -
              • Continuous learning across different areas of the business
              • -
              • Opportunity to be part of the student community at OMERS & Oxford
              • -
              • An orientation program to set you up for success during your work term!
              • -
              • Networking and educational session with different leaders across the business
              • +
              • Remote/ Hybrid Work environment

              • +
              • Competitive salary and bonus structure influenced by market range data

              • +
              • 20 days vacation per year and an innovative sabbatical program

              • +
              • A friendly, collaborative and inclusive culture

              • +
              • Being part of our Analytics community, where we share best practices and broaden skill-sets

              • +
              • Flexible Benefits from the day you join to meet the needs of you and your family

              • +
              • Pension, stock and savings programs to help build and enhance your future financial security

              • +
              • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

              -

              IMPORTANT: Application Instructions

              -

              To ensure your application is submitted to our applicant tracking system accurately, please follow the instructions below.

              -

              Please include all required documents (Resume, Cover Letter, Unofficial Transcript, etc.) in one combined file. Your application may be submitted in PDF of Microsoft Word format.

              -

              -

              -

              -

              Our story:

              -

              Oxford Properties Group (“Oxford”) is a leading global real estate investor, asset manager and business builder. It builds, buys and grows defined real estate operating business with world-class management teams. Established in 1960, Oxford and its portfolio companies manage approximately C$70 billion of assets across four continents on behalf of their investment partners. Oxford’s owned portfolio encompasses office, logistics, retail, multifamily residential, life sciences and hotels; it spans more than 150 million square feet in global gateway cities and high-growth hubs. A thematic investor with a committed source of capital, Oxford invests in properties, portfolios, development sites, debt, securities and real estate businesses across the risk-reward spectrum. Together with its portfolio companies, Oxford is one of the world’s most active developers with over 100 projects currently underway globally across all major asset classes. Oxford is owned by OMERS, the Canadian defined benefit pension plan for Ontario\'s municipal employees.

              +
              +

            -

            For more information on Oxford, visit www.oxfordproperties.com

            +

            The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

            +

            Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

            +

            Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

            -

            OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

            -
            ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Student-Analyst--Asset-Management_JR-4204?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-01-19T21:10:00.000Z,False,0,2,38,https://talenthub.vectorinstitute.ai/jobs/178993705-student-analyst-asset-management-at-omers,,expired,2022-12-19T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -8a213397-d884-44d5-a28f-3c5166878908,176655990,Accenture,Data Engineering Consultant,on_site,"Toronto, ON, Canada",2022-12-12T17:29:02.337Z,"
            -

            Job Description

            -
            -

            Do you have a pulse on new technologies and a desire to change the way business gets done? Do you want to implement emerging solutions for some of the most successful companies around? If you answered yes to these questions and you are passionate about helping clients effectively manage enormous amounts of data to generate knowledge and value, then we want to meet you! There will never be a typical day at Accenture Applied Intelligence, but that’s why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing digital landscape.

            -

            Job Description:

            -

            · Understand our customers\' core business objectives and build end-to-end data centric solutions to address them

            -

            · Collaborate with technical business analyst, to understand business requirements, data, and optimize data pipeline performance.

            -

            · Build solutions in big data and data management tools meeting projects’ requirements

            -

            · Construct code with good coding standard and practices to ensure high quality and minimum risks

            -

            · Closely working with project manager and technical leads to provide regular status reporting and support them to identify blockers for quick resolution

            show more
            -

            Qualifications

            -

            Basic Skills and Qualifications:

            -

            · Experience with Data Engineering or Big Data Technologies, or Data Transformation, and data modelling

            -

            · Experience in architecting and building scalable data platforms.

            -

            · Experience with Informatica or other related data Integration tools • Experience with Cloud Technologies (Data Lake, Databricks, Azure, Google, AWS etc.) or experience with open source technologies (Spark, Kafka, Presto, Hive, Cassandra etc.)

            -

            · Experience with SQL and/or NOSQL databases

            -

            -

            Preferred Skills and Qualifications:

            -

            • Production implementation experience for all qualifications listed

            -

            • Production experience in building real-time analytics applications

            -

            • Experience in both batch and stream processing technologies

            -

            • Experience with 2 of 3 - Java, Scala, and Python programming languages

            -

            • Machine learning experience with Spark or similar

            -

            • Certified Data Engineers or Solution Architect in 1 or more Cloud Technologies (AWS, GCP, Azure)

            -

            • Ability to manage numerous requests concurrently and be able to prioritize and deliver

            -

            • Good communication skills

            -

            • Dynamic team player

            -

            • Bachelor’s or Master’s Degree

            -
            -
            -
            -

            -Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements -

            -
            -

            Equal Employment Opportunity Statement

            +

            At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

            +

            +

            We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

            +

            +

            Salary Range:

            80,000/80 000 - 130,400/130 400

            +

            Job Category:

            Advanced Analytics

            +

            Posting End Date:

            30/04/2023
            ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Scientist_JR00077232-3?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-05-01T17:46:01.963Z,False,0,3,27,https://talenthub.vectorinstitute.ai/jobs/218284082-senior-data-scientist-at-sun-life-financial,,expired,2023-04-24T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +fc1887fe-aa22-462a-8ca1-2f3e0c01aff9,210220483,Scotiabank,"Senior Engineer, Analytics DevOps - CID&A",on_site,Canada : Ontario : Toronto,2023-03-30T17:22:03.058Z,"

            -

            All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

            -

            Accenture is committed to providing veteran employment opportunities to our service men and women.

            -

            Requesting An Accommodation

            +

            Requisition ID: 175354

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            -

            Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

            +

            Purpose:

            +


            As a Analytics DevOps Senior Engineer, your responsibility will be to write scripts to manage and automate MLOps and DevOps for analytics deployment of software releases. You will evaluate the latest MLOps solutions to optimize our MLOps platform.

            -

            If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

            +

            Accountabilities:

            +


            • Design, create and deliver a range of MLOPs Build Automation and Deployment solutions on GCP.

            +

            • You will work as part of the team that manages and delivers Software solutions for analytics teams to deliver advanced analytics solutions.

            +

            • Automate and streamline our operations and processes. You`ll support building and maintaining tools for deployment, monitoring and operations.

            +

            • Design, automate, build and operate analytics enablement on GCP.

            +

            • Work with the existing Analytics team members to design and implement MLOps and data engineering solutions.

            -

            Other Employment Statements

            +


            Requirements & Qualifications:

            -

            Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

            +

            • Strong knowledge of Python required.
            • Hands-on with Spark and pySpark.
            • Passion to continual learn new and changing technologies.
            • Strong self-leaning skills as we work with many new technologies.
            • Highly proficient working with business stakeholders and project teams to deliver solutions.
            • GCP experience a strong asset.
            • Working knowledge of docker.
            • Modern DevOps practices .
            • Previous experience with Git and Gitflow.
            • Comfortable presenting to large groups.

            +

            -

            The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company\'s legal duty to furnish information.

            -
            -
            -
            Share
            -
            Share
            -
            Job Link:
            Copy
            -
            -
            -

            COVID-19 update: The safety and well-being of our candidates, our people, and their families continue to be a top priority. Please be aware that Accenture requires all new employees to be fully vaccinated against Covid-19 as a condition of employment. Accenture will consider requests for accommodation based on human rights grounds (e.g., medical/disability, religious/creed, other) to this vaccination requirement during the recruiting process.

            -
            -
            ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00138208_en&title=Data+Engineering+Consultant,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2023-01-02T17:34:02.729Z,False,0,12,49,https://talenthub.vectorinstitute.ai/jobs/176655990-data-engineering-consultant-at-accenture,,expired,2022-12-12T17:29:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, -16fa7e5e-d16d-4216-9db9-949dcdce149c,194553467,Borealis AI,Senior Machine Learning Researcher - Atom Group,on_site,"Ontario, Canada",2023-02-09T17:27:02.670Z,"
            -

            What\'s the opportunity?

            -

            As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

            -

            Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

            -

            Your responsibilities include:

            +

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Engineer%2C-Analytics-DevOps-CID&A-ON-M5H1H1/568444017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-29T19:01:12.969Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/210220483-senior-engineer-analytics-devops-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Engineer%2C-Analytics-DevOps-CID&A-ON-M5H1H1/568444017/,expired,2023-03-30T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,No Degree,New Posting, +89f9920f-dc04-4102-b589-5ed23ad85a13,236958269,Vector Institute,AI Education Intern,on_site,"Ontario, Canada",2023-06-17T02:12:03.278Z,"

            AI Education Intern

            +

            POSITION OVERVIEW

            +

            The AI Education Intern will have the opportunity to gain real-world experience in professional development of AI education at a leading research institute where the objectives are to help our industry sponsors develop, deploy, and scale the applications of AI within their companies. Reporting to the Director, Professional Development, you will provide AI educational program support and play a key role in ensuring the goals of the professional development team are met.

            +

            Start date: September 11, 2023

            +

            End date: December 22, 2023

            +


            +

            APPLIED INTERNSHIPS AT VECTOR

            +

            The applied internship program at Vector provides relevant, hands-on learning and work experience in machine learning and AI. During the paid internship, interns will have the opportunity to attend research, recruitment, and commercialization talks at Vector and connect with key stakeholders in the ecosystem. Applied internships may be full-time (36.25 hours per week) or part-time (20 hours per week) over the Fall academic term (September 11 - December 22, 2023) with an opportunity to continue over the Winter 2023 academic term. We welcome applications from all qualified candidates. Consistent with Vector’s goals in this program to relieve disadvantage and alleviate the under-representation of Black and Indigenous people in AI, and to attempt to achieve equal opportunity in the field of AI, preference in hiring will be given to qualified Black and Indigenous persons, studying at or having recently graduated from a Canadian post-secondary institute, who self-identify as such in the application process. This initiative is designed to meet the criteria of a special program under the Ontario Human Rights Code.

            +

            The Professional Development (PD) team at Vector combines academic rigor with practical application to drive business value to sponsor companies, small- and medium-sized enterprises (SMEs), and other partners that desire training with a hands-on component to build AI capability within their organization. The AI Education Intern will support the PD team on development of AI technical and non-technical training through talks, workshops, and courses. During this paid internship, the intern will have an opportunity to gain key knowledge about artificial intelligence and its relevance to industry, attend professional development activities, connect with key stakeholders in the ecosystem, support on delivery of educational content, learn about planning and delivery of training to adults, and be a part of the thriving AI community at Vector.

            +


            +

            KEY RESPONSIBILITIES

            +

            Support workflow coordination and perform tasks to help support and facilitate the activities of the Professional Development team including:

            +
              +
            • Leverage AI and ML knowledge to make recommendations on guest speakers, relevant use cases, and engaging content for AI related seminar series, and topical examples of specific AI technologies and AI implementation;

            • +
            • Support training program planning and execution functions, such as meeting coordination with sponsors and stakeholders, preparing meeting materials, tracking action items, and following up with meeting participants;

            • +
            • Assist in the development and management of inspiring AI upskilling and education programs, including talk series, multi-day workshops, and multi-week trainings for Vector’s industry sponsors and partners;

            • +
            • Conduct and audit research on content for AI talk series and webinars, including providing relevant input on upcoming events;

            • +
            • Support end of course deliverables by creating reports and performing quantitative and qualitative analysis; and,

            • +
            • Perform other duties as assigned.

            • +
            +


            +


            +

            PROFILE OF THE IDEAL CANDIDATE

            +
              +
            • You are a student or postdoctoral fellow studying at a Canadian postsecondary institute (university or college) or a recent graduate (within 1 semester of graduation).

            • +
            • You are motivated to apply machine learning techniques to real-world problems.

            • +
            • You act as a technical translator to help non-technical people understand machine learning and other AI techniques.

            • +
            • You are organized and efficient, with strong problem-solving skills; experience in project management considered an asset

            • +
            • You are creative and enjoy collaborating within a small entrepreneurial environment that is results-driven.

            • +
            • You possess a positive attitude, integrity, a sense of humour, and bring a positive energy and outlook to a not-for-profit corporate culture.

            • +
            • You are motivated by continuous learning and the opportunity to make a difference and a real contribution to the AI ecosystem.

            • +
            • Familiarity with GSuite and/or MS Office 365 and Python programming is required.

            • +
            • Previous teaching or facilitation experience in an academic or professional setting is an asset.

            • +
            +


            +

            Compensation: $25/hour.

            +


            +

            If you have any questions, please contact internships@vectorinstitute.ai.

            +


            +

            Please address applications (cover letter and resume) to Taylor Walker, Specialist, Internships & Work Integrated Learning, using the link provided. The deadline for submission is June 19, 2023, at 1:00PM EDT. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs. Please note that all interviews are currently being held remotely.

            +

            At the Vector Institute, we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. In order to relieve disadvantage and alleviate the under-representation of Black and Indigenous people in AI, and to attempt to achieve equal opportunity in the field of AI, priority in hiring will be given to qualified Black and Indigenous persons, studying at or having recently graduated from a Canadian post-secondary institute, who self-identify as such in the application process. This initiative is designed to meet the criteria of a special program under the Ontario Human Rights Code.

            +

            If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

            ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=9200420850870_2&jobId=448362&lang=en_CA&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2023-06-22T19:57:00.000Z,False,0,4,20,https://talenthub.vectorinstitute.ai/jobs/236958269-ai-education-intern-at-vector-institute,,expired,2023-06-17T02:12:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Internship/Co-op,Bachelors Degree,New Posting, +2f3936c7-e596-4876-977b-d644e63d6d5d,235578415,RBC,Director Data Strategy and Governance,on_site,"Toronto, ON, Canada",2023-06-12T15:47:02.065Z,"
            +

            Come Work with Us!

            At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

            Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

            +

            Job Title

            Director Data Strategy and Governance

            +

            +

            Job Description

            +

            What is the Opportunity?

            +

            RBC Capital Markets is undertaking a green field project to build a new capability to serve corporate clients.

            +

            +

            Your role will be to use your deep knowledge of data, combined with your understanding of client and business needs to create the business context to bring our data to life for the US Cash Management team and clients alike. You are a thoughtful, proactive, creative, analytical individual with a passion for solving problems for your colleagues and clients through the use of data.

            +

            +

            What will you do?

              -
            • Developing novel AI solutions that facilitate impactful products;
            • -
            • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
            • -
            • Working with the development team to transfer research work into production;
            • -
            • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
            • -
            • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
            • +
            • Develop and drive implementation of the overall Data Strategy for the Business
            • +
            • Collaborate with Technology on the build of the foundational data layer including data infrastructure and provide business requirements and direction
            • +
            • Work with Business and IT partners to define strategic and tactical data requirements of the organization to fulfill business needs.
            • +
            • +Drive the key initiatives of the Data team and make sure the initiatives are aligned and run smoothly
            • +
            • Be the Data SME and primary contact supporting the Business’ various projects, with a focus on data governance, quality, requirements and specifications.
            • +
            • Understand the data sources, flows, architecture, data repositories, data requirements for downstream users
            • +
            • Working with the Data Governance team, review and update Critical Data Element (CDEs), identifying data risks and corresponding data controls.
            • +
            • Review, understand and challenge the lineage of documented CDEs
            • +
            • Working with partners, to ensure the Business complies with data privacy policies and data protection regulations.
            • +
            • Supporting the data requirements for Client Statements
            • +
            • Keep up to date with Agile best practices
            • +
            • Foster a data-driven culture
            -

            You’re our ideal candidate if you have:

            +

            +

            +

            What do you need to succeed?

            +

            Must-have

              -
            • A passion for solving open problems using data and algorithms;
            • -
            • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
            • -
            • Ability to formulate and drive a research project independently without close supervision;
            • -
            • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
            • -
            • Demonstrated ability to deliver machine learning solutions following industry best practices in software engineering is an asset.
            • -
            • Experience with time series or event forecasting, especially with asynchronous data, is an asset.
            • +
            • 10+ years experience supporting a data initiative
            • +
            • Bachelor degree in Computer Science, Engineering, Technology or related field
            • +
            • Database development, querying and analysis tools and languages such as SQL, Oracle, Python, Data Visualization, Tableau etc
            • +
            • Passion for data, and commitment to learn new data capabilities
            • +
            • Knowledge of data governance and data management concepts such as critical data elements, data lineage, data accuracy and completeness and data controls
            • +
            • Understanding of technical data concepts such as data ingestion, data warehouse, data lakes, master reference data, data models, systems of record, aggregation layer and reporting systems
            • +
            • Experience with using Jira and Confluence
            • +
            • Excellent business communication skills (written and oral).
            • +
            • Ability to work independently and possess strong analytical and data problem-solving skills
            • +
            • Strong collaboration and relationship management skills
            • +
            • Effective time management and organizational skills to meet tight timeframes, as well as flexibility to adapt to changing priorities while assessing impact to existing work
            -

            What’s in it for you?

            +

            +

            What\'s in It for You?

            +

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

              -
            • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
            • -
            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
            • -
            • Leaders who support your development through coaching and managing opportunities;
            • -
            • Ability to make a difference and lasting impact from a local-to-global scale.
            • +
            • Positive work culture emphasizing diversity and inclusion, volunteerism and community involvement
            • +
            • A comprehensive Total Rewards Program including great benefits, annual incentive program and recognition
            • +
            • Leaders who support your development
            • +
            • A dynamic, collaborative, and high-performing team
            • +
            • Opportunities to do challenging work and grow your career
            -

            About Borealis AI

            -

            Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

            -

            Inclusion and Equal Opportunity Employment

            -

            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request

            -
            ",,https://www.borealisai.com/careers/?gh_jid=5870636002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-03-11T21:09:13.912Z,False,0,2,51,https://talenthub.vectorinstitute.ai/jobs/194553467-senior-machine-learning-researcher-atom-group-at-borealis-ai,,expired,2023-02-09T17:27:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,PhD,New Posting, -afb62244-c44f-449d-89e9-e2bd7c8aecff,196078414,EY,Senior Manager - Data Risk - Quality and Governance Management,on_site,Toronto,2023-02-13T17:37:02.438Z,"

            Senior Manager - Data Risk - Quality and Governance Management

            +

            Work-life integration

            +

            +

            +

            Job Summary

            RBC Capital Markets is undertaking a green field project to build a new capability to serve corporate clients.

            Your role will be to use your deep knowledge of data, combined with your understanding of client and business needs to create the business context to bring our data to life for the US Cash Management team and clients alike. You are a thoughtful, proactive, creative, analytical individual with a passion for solving problems for your colleagues and clients through the use of data.

            Address:

            TORONTO, Ontario, Canada

            City:

            CAN-ON-TORONTO

            Country:

            Canada

            Work hours/week:

            37.5

            Employment Type:

            Full time

            Platform:

            Capital Markets

            Job Type:

            Regular

            Pay Type:

            Salaried

            Posted Date:

            2023-05-31

            Application Deadline:

            2023-06-06
            +

            Inclusion and Equal Opportunity Employment

            +

            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
            ​​​​​​​
            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

            +
            +

            Join our Talent Community

            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

            +
            ",,https://jobs.rbc.com/ca/en/job/R-0000060683/Director-Data-Strategy-and-Governance,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-06-22T19:56:00.000Z,False,0,1,14,https://talenthub.vectorinstitute.ai/jobs/235578415-director-data-strategy-and-governance-at-rbc,,expired,2023-06-12T15:47:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, +44188f34-cf10-4437-a6e8-27a3d48e5d22,229115561,BenchSci,"Senior Software Engineer, Data",full,"Toronto, Ontario Remote",2023-05-25T16:04:01.782Z,"
            +
            We are looking for a Senior Software Engineer to join our growing Machine Learning team! Reporting to the Engineering Manager, you will evolve our data models, operationalize production-grade data pipelines, and contribute to our document mining/information retrieval initiatives as we expand our ability to extract valuable insights from scientific publications and databases. You will be a part of the BenchSci Machine Learning team, working with a group of passionate engineers as you help shape the future of scientific discovery and progress.
            +

            +
            BenchSci is a remote first organization. At this moment, we are welcoming applicants from Canada, the US and the UK for this position.
            +

            +
            +

            You Will:

            +
                +
              • Scale data pipelines to allow our data to go from research to platform as fast as possible
              • +
              • Collaborate with ML and Data engineers to solve complex document mining challenges, helping us capture and model additional scientific experiments
              • +
              • Develop data access mechanisms for downstream applications usage
              • +
              • Expand the types of biological reagents and experiments that we can extract from several types of media
              • +
              • Manage sources that contain both semi-structured and unstructured data
              • +
              • Apply data processing engines to process our data sets
              • +
              • Employ best practices for a broad platform of technologies within a cloud-based environment
              • +
              • Provide troubleshooting analysis and resolution promptly
              • +
              • Work on projects involving some of the largest pharmaceutical companies in the world
              • +
              • Solve difficult problems and bring new perspectives to the team
              • +
              • Have opportunities to work both independently and in pair-programming settings
              • +
            +
            +

            You Have:

            +
                +
              • 5+ years of experience working as a professional developer
              • +
              • Expertise with Python and SQL
              • +
              • Experience with cloud reference architectures and developing specialized stacks on cloud services
              • +
              • Experience with data processing engines (we use Beam)
              • +
              • A background in data structures and large-scale data manipulation
              • +
              • Familiarity with information retrieval theory and practical applications of it
              • +
            +
            +

            Nice to Have, but not Mandatory

            +
                +
              • Work or academic experience in the life sciences
              • +
              • Experience with Kubernetes in production
              • +
              • Experience with Infrastructure-as-code
              • +
              • Experience with technical design and applying architectural patterns
              • +
              • Experience with statistical analysis of large datasets
              • +
              • Machine learning fundamentals and ML Ops knowledge
              • +
            +
            +

            +

            +
            Benefits and Perks:
            +
            An engaging remote-first culture
            +
            A great compensation package that includes BenchSci equity options
            +
            15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
            +
            Unlimited flex time for sick days, personal days, religious holidays
            +
            Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
            +
            A $2000 CAD* Annual Learning & Development budget
            +
            A $1000 CAD* home office set-up budget
            +
            A $2500 CAD*wellness, lifestyle and productivity spending account for employees
            +
            Generous parental leave benefits with a top-up plan or paid time off options
            +
            *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.
            +

            +
            About BenchSci:
            +
            BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
            +
            Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
            +

            +
            Our Culture:
            +
            BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
            +
            We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
            +
            You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
            +

            +
            +Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
            +

            +
            +Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
            +

            +
            #LI-Remote
            +
            ",,https://jobs.lever.co/benchsci/3ca182d9-7956-4b9e-90a8-cd6ec9ef586c?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-06-19T16:09:03.008Z,False,0,5,44,https://talenthub.vectorinstitute.ai/jobs/229115561-senior-software-engineer-data-at-benchsci,https://jobs.lever.co/benchsci/3ca182d9-7956-4b9e-90a8-cd6ec9ef586c,expired,2023-05-25T16:04:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Senior Level,No Degree,New Posting, +466e27f2-f279-4ef0-8b2d-8856313942e1,233912695,Scotiabank,"Manager, Data Analysis & Reporting",on_site,Canada : Ontario : Toronto,2023-06-08T15:52:03.075Z,"

            +

            +

            +

            +

            Requisition ID: 178794

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            +

            +

            The Manager, Data Analysis & Reporting provides support in the preparation of data and maintenance of technology components of the IB Finance FP&A suite of reports. The Manager produces using various systems and use of technology to deliver the reports enabling the financial planning and analysis processes.

            +

            +

            Accountabilities:

            +

            +
            • +Support in data management activities related to Finance FP&A such as data mapping, data quality/integrity testing, data analytics and data governance such as:
              • Testing and ensure alignment of the data and reports produced for completeness
              • Manage effective control accounting processes and source feeds (systems or manual)
            • Design and develop/enhance innovative reporting solutions to support IB Finance group using Power BI and provide analytical and business insights
            • Respond to ad-hoc investigations, inquiries, data, and report requests as assigned
            • Demonstrate Subject Matter Expertise in data and reporting infrastructure design, configuration, and optimization, providing recommendations on approach and execution
            • Test and validate (QA) new and existing reports and analytics for adherence to business and technical requirements.
            • Maintains effective controls over the accounting processes to ensure the reliability of the financial records and investigates any significant and/or unusual variance or questionable trends
            • Coordinate with IT&S on systems maintenance requirements such as CRFs, process rollover, and other COFA governance
            • Support country finance teams to resolve systems issues inquiries, internal reports
            • Actively seeks and evaluates opportunities to improve existing processes and works with key stakeholders to implement changes as appropriate.
            • Identify opportunities for increased efficiency through automation and systems improvements; increases departmental knowledge through training and cross-training.
            • +
            +

            +

            Education and Experience:

            +

            +
            • 3+ years of experience of financial reporting ideally in financial institutions
            • Degree in Finance, working towards or have CPA or other accounting designation is a plus
            • Expert knowledge of MS Excel, MS Access and VBA
            • Knowledge of Oracle Hyperion and Essbase and SmartView
            • Experience visualizing/presenting data for stakeholders using data visualization tools such as Power BI or Tableau
            • Experience using statistical computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets
            • Knowledge of data management, aggregation and analysis techniques
            • Strong problem-solving skills
            • Experience working with and creating data architectures
            • +
            +

            +

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Manager%2C-Data-Analysis-&-Reporting/570958317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-19T15:57:03.647Z,False,0,7,26,https://talenthub.vectorinstitute.ai/jobs/233912695-manager-data-analysis-reporting-at-scotiabank,https://jobs.scotiabank.com/job/Manager%2C-Data-Analysis-&-Reporting/570958317/,expired,2023-06-08T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +1be53291-6594-4ef6-bddb-95994a8325d2,227919330,TD Bank Group,Data Steward I,on_site,"Toronto, ON",2023-05-21T15:53:02.300Z,"
            +

            Company Overview

            +
            +

            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

            +

            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

            +
            +

            +

            Department Overview

            +
            +

            Our vision to be the Better Bank is grounded in our purpose-driven and forward-focused strategy. The CTO was formed to establish integrated shared services across our four corporate segments – Finance including Specialty Groups, Treasury & Balance Sheet Management (TBSM), HR, Risk Management, Corporate Defense Group, GAML, and Compliance. We’re growing the best of Corporate’s core capabilities, enhancing operational alignment, creating greater capacity and focus, and unlocking new and exciting career paths for colleagues.

            +

            The CTO’s purpose is to strengthen the Bank at its core by leveraging scale and expertise to deliver better business outcomes. We aspire to achieve operational excellence, deliver with confidence, build better capabilities, and create a community of empowered and inspired colleagues. The CTO will enable us to move with purpose towards common goals, simplify how we work and elevate how we deliver customer value. In the CTO, we offer a culture of performance, growth, and collaboration, as well as benefits and resources that support your wellbeing and career development.

            +

            Join our world-class Governance, Risk and Control Team within the CTO which is responsible for central governance, risk and control capabilities for the Corporate Functions. Contribute to enterprise governance, risk and building enterprise capabilities to streamline the three lines of defense and improve effectiveness.

            +
            +

            +

            Job Description

            +
            +

            About this Role

            +

            Are you an experienced data steward or data governance professional? If so, you’ll enjoy working as a data steward in Corporate Transformation & Operations (CTO). If you think you can showcase your expertise and strive to be the best, then join our team to grow!
            As a Data Steward I, you will provide oversight over data risks within your portfolio ensuring TBSM meets enterprise data policies and standards.

            +

            Primary Accountabilities include:

            +
              +
            • Provides data governance expertise and supports, manages and / or executes data governance activities within the TBSM Line of Business.
            • +
            • Develops relationships with key business, enterprise and control partners providing data governance expertise, and leads on day-to-day data governance activities
            • +
            • Ensure the Line of Business (LOB) adheres to data related policies, standards and meets requirements set out by the Enterprise Data and Information Management Policy and Standards
            • +
            • Communicates data governance strategy and processes across business segment
            • +
            • Support the design and implementation of processes, templates, and appropriate mitigating controls, to support enterprise data policy and standards and ensure effective management and control of LOB data
            • +
            • Lead governance and oversight of LOB data management activities, such as identification of critical data and critical data elements, metadata management, data quality tasks and data retention and disposition
            • +
            • Identify and escalate data risks and issues and provide advice and support to business owners in development and implementation of action plans for issue resolution
            • +
            • Provide analysis and support the development of reporting to monitor current and emerging data related risks and escalation processes
            • +
            • Deliver training, tools, and advice to support the governance and oversight of data
            • +
            • Provide data governance expertise to support projects, ensuring projects meet required data governance and management policies and standards
            • +
            +
            +

            +

            Requirements

            +
            +You’re a confident professional with a good understanding of data governance principles, enjoy working with varied stakeholders and possess the following:

            +
              +
            • Undergraduate degree/technical certificate or seven (7) or more years relevant experience
            • +
            • Solid understanding of data governance principles and an understanding of data risk and data management
            • +
            • Ability to independently engage with senior leaders, and influence without direct authority, providing guidance and thought leadership on data governance activities
            • +
            • Planning and organizational skills with a strong ability to work in a fast-paced environment and manage multiple deadlines and priorities, ability to manage functional programs independently
            • +
            • Experience with working in both a technical and business context is an asset; able to translate technical concepts into easy-to-understand business language
            • +
            • A team player with the ability to work independently and as part of a larger team with a proven track record of delivering results by demonstrating the ability to take independent action
            • +
            +
            +

            +

            Additional Information

            +
            +#LI-Hybrid
            +

            +

            Hours

            +
            37.5
            +

            +

            Inclusiveness

            +

            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

            +

            +
            ",,https://jobs.td.com/en-CA/jobs/17566731/data-steward-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-06-19T15:58:04.825Z,False,0,1,30,https://talenthub.vectorinstitute.ai/jobs/227919330-data-steward-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17566731/data-steward-i-toronto-ca/,expired,2023-05-21T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +06b27563-0993-4993-b715-8e5f95063d60,233912694,Scotiabank,"Manager, Data Science",on_site,Canada : Ontario : Toronto,2023-06-08T15:52:02.831Z,"

            +

            +

            +

            +

            Requisition ID: 170914

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            +

            +

            +

            Purpose

            +

            +

            Executes advanced analytics projects for Global Operations that deliver quantifiable benefits and improvements in business processes aligned to strategic objectives. The incumbent will leverage quantitative knowledge, data storytelling skills, data visualization tools and business knowledge to drive a superior customer experience and enable business strategy. She/he will ensure all activities conducted are in compliance with governing regulations, internal policies and procedures.

            +

            +

            Accountabilities

            +

            +
            • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
            • Leverages Operations Research tools to optimize business processes. Finds new opportunities of solving business problems in Global Operations.
            • Champions data-driven decision making across functions by making analytical recommendations based on operational/financial/customer data and benchmarks. Identifies opportunities for operational efficiencies and cost savings.
            • Leverages advanced analytics techniques to improve customer/employee experience and end-to-end business processes, with a focus on optimization and simulation techniques.
            • Builds and maintains relationships with multiple stakeholders and keeps cross-functional lines of communication. Strong interpersonal and communication skills are essential.
            • Provides advanced data mining techniques to provide fact-based analysis. Leverage agility and creativity to maximize value and insight delivered by data analysis. Utilize varied and complex data sources, including enterprise data lake, cloud and diverse source systems.
            • Utilizes visualization tools (Power BI) to communicate analytical insights and to support relationships with stakeholders. These insights are expected to strategically influence decisions of business operations management and create value.
            • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
            • Actively pursues effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
            • Champions a high-performance environment and contributes to an inclusive work environment.
            • +
            +

            +

            +

            +

            Education / Experience / Other Information

            +

            +
            • Postgraduate University degree in analytics, data science, engineering, statistics, mathematics or related fields
            • 2+ years of experience in managing and analyzing data with advanced techniques
            • Working experience in people analytics, operations research techniques such as process optimization and simulation techniques
            • Advanced knowledge of Python, SQL, Power BI and DAX
            • Knowledge of Banking Industry, such as products, services, policies and procedures, regulations and related regulatory requirements is an asset
            • Excellent verbal and written communication skills to effectively present information to relevant stakeholders at all levels of the organization
            • +
            +

            +

            +

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Manager%2C-Data-Science/566728817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-22T15:57:03.679Z,False,0,8,36,https://talenthub.vectorinstitute.ai/jobs/233912694-manager-data-science-at-scotiabank,https://jobs.scotiabank.com/job/Manager%2C-Data-Science/566728817/,expired,2023-06-08T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, +d23d83ab-e159-4a2b-bada-af76bf33474c,230064594,EY,Senior Manager - Data Risk - Quality and Governance Management,on_site,Toronto,2023-05-28T16:01:03.381Z,"

            Senior Manager - Data Risk - Quality and Governance Management

            Location: Toronto
            Other locations: Primary Location Only
            -
            Date: 10-Feb-2023
            +
            Date: 18-May-2023
            At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

            We help the world’s largest financial institutions navigate the intricate regulatory environment to effectively manage and assess capital in support of their ongoing strategies. More than ever, financial institutions are investing in enhancing their capital management capabilities to make better business decisions, presenting us with the unique opportunity to rally together to solve our clients’ most complex challenges.

            @@ -56260,494 +63231,391 @@ afb62244-c44f-449d-89e9-e2bd7c8aecff,196078414,EY,Senior Manager - Data Risk - Q
            Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
            -
            Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
            ",,https://careers.ey.com/ey/job/Toronto-Senior-Manager-Data-Risk-Quality-and-Governance-Management-ON-M5H-0B3/902292901/,feed-importer@jobboard.io,,,,2023-03-13T17:42:01.586Z,False,0,1,18,https://talenthub.vectorinstitute.ai/jobs/196078414-senior-manager-data-risk-quality-and-governance-management-at-ey,https://careers.ey.com/ey/job/Toronto-Senior-Manager-Data-Risk-Quality-and-Governance-Management-ON-M5H-0B3/902292901/,expired,2023-02-13T17:37:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,New Posting, -8279914a-77d6-48b2-968c-6858ab8bb957,202113792,RBC,"Senior Director, Data and Analytics COE",on_site,"Toronto, ON, Canada",2023-03-06T17:16:05.027Z,"
            -

            Come Work with Us!

            At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

            Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

            -

            Job Title

            Senior Director, Data and Analytics COE

            -

            -

            Job Description

            -

            What is the role?

            -

            The Senior Director, Data & Analytics COE is responsible for leading a data and analytics Centre of Expertise and a team of data professionals within Canadian Banking Operations in support of Win For Today and Transform for Tomorrow P&CB imperatives. The Senior Director, Data & Analytics COE oversees the entire data and insight production life cycle from collection to destruction, leads innovations that leverages AI to elevate human/technology interaction, and executes across Operations Big Rocks objectives driving workforce insights and timely strategic decisions, enabling “Operations at Scale”.

            -

            -

            The Data & Analytics COE specializes in taking full advantage of large data sets to explore and discover new insights that would have not been possible with traditional analytics. Leveraging leading edge technologies and capabilities, the COE applies machine learning and statistical modelling techniques to help RBC understand the changing business environment, discover new growth opportunities and determine where business improvements can be made. This work is innovative, has a high level of complexity, and requires significant attention to detail. The Senior Director, Data & Analytics COE represents P&CB Operations to lead and participate in key enterprise and P&CB initiatives including Data Hub & Chapter enabling Mega Journeys, enable insight delivery supporting Operations Product Hub including Process 360, support governance priorities in Chief Data Office and P&CB Data Management Office, drive forward CBO Data Community including data leaders on sharing best practices.

            -

            -

            What will you do?

            -
              -
            • Lead a team of Data & Analytics professionals in delivering on their day to day mandate, while professionally developing them to create a foundation of data professionals for the future of CBO
            • -
            • Evolution and implementation of Canadian Banking Operations Data Strategy in support of “Operations at Scale” architecture and technology
            • -
            • Mature data science model development and insight generation/delivery platform making data more accessible and advancing analytics capabilities (use data science to elevate human/technology interaction for higher productivity and use of machine learning to enable automation through unstructured data access)
            • -
            • Develop key strategic partnerships with enterprise data/technology teams including Chief Data Office, P&CB Data Management Office, Enterprise DNA team (e.g. leading a “data squad” including 10-12 resources from DNA supporting key strategic data initiatives) across data architecture, services, engineering and science capabilities; leverage enterprise investments to maximize business value creation
            • -
            • Support Process 360/PATH development, maturity and use across CB Operations
            • -
            • Lead/Chair the data community in CB Operations (includes ~20 data leaders across different Operations teams) to facilitate data and capability sharing and advancement.
            • -
            • Lead data & insight support for CB Operations Big Rocks- E2E Process, CBO Dual Operating Model, Igniting our Workforce. Strategic use of big data through data lake to streamline >20 key data sources for operations performance/productivity driven analytics use cases.
            • -
            -

            -

            Must have Skills

            +
            Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
            ",,https://careers.ey.com/ey/job/Senior-Manager-Data-Risk-Quality-and-Governance-Management/902292901/,feed-importer@jobboard.io,,,,2023-06-22T16:06:02.858Z,False,0,4,25,https://talenthub.vectorinstitute.ai/jobs/230064594-senior-manager-data-risk-quality-and-governance-management-at-ey,https://careers.ey.com/ey/job/Senior-Manager-Data-Risk-Quality-and-Governance-Management/902292901/,expired,2023-05-28T16:01:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,New Posting, +8010edf9-eeec-4013-b754-ba737d896447,230064449,Borealis AI,Senior Machine Learning Research Team Lead,on_site,"Ontario, Canada",2023-05-28T15:55:02.191Z,"
            +

            What\'s the opportunity?

            +

            Borealis AI is looking for a Senior Research Team Lead. The role includes managing a team of research team leads, researchers, and research engineers with the goal of delivering AI-based products for the financial services industry. In addition, you will lead initiatives that improve the effectiveness of the research organization.

            +

            Your responsibilities include:

              -
            • Proven leadership skills in executing and leading Strategy, People, Data and Technology with a reputation for accountability, being proactive and striving for excellence and continuous improvement.
            • -
            • Successful track record of setting up and transforming data & analytics practices. Strong analytical skills coupled with data engineering and science knowledge on application of business use cases including client, product and operations process analytics.
            • -
            • Talent developer and strong collaborator with capability to attract and develop top talents as well as liaising business and technology teams to deliver results.
            • +
            • To lead a team of machine learning researchers delivering cutting edge AI technology to support AI-based products.
            • +
            • To partner with Borealis AI’s product and engineering teams to ensure the seamless delivery of these products.
            • +
            • To manage other research team leads and provide guidance and support.
            • +
            • To lead initiatives that improve the overall performance of the Borealis AI Research Team.
            • +
            • To help recruit, mentor and retain a high-performing research team.
            -

            -

            Technical Skills

            +

            You’re our ideal candidate if you have:

              -
            • 5+ years of experience with big data technologies – Hadoop (Pig, Hive), noSQL/SQL databases, parallel processing techniques and Apache Spark
            • -
            • 5+ years of experience in Machine-Learning, data mining and statistics
            • -
            • Strong coding capabilities and expert working knowledge of Python, R, Java and SQL
            • -
            • Expert data extract, transform, and load processes with a variety of data types
            • -
            • Strong knowledge of design, development, and implementation experience utilizing data science technologies and ability to perform complex data analysis on large volumes of data and present findings to stakeholders.
            • +
            • A Ph.D. degree in Computer Science or a related technical field;
            • +
            • 5 years of experience leading machine learning research teams in a product-centric environment or equivalent experience;
            • +
            • A track record of successful people management including mentoring junior researchers and engineers, experienced high-performance researchers, and research managers;
            • +
            • Experience delivering high-impact machine learning products
            • +
            • Involvement across the research and development lifecycle, from prototyping to production, engaging with stakeholders to develop solutions that meet business needs;
            • +
            • Detailed knowledge of cutting edge machine learning techniques;
            • +
            • The ability to formulate and drive a research project independently;
            • +
            • Exceptional communication skills;
            • +
            • A history of high quality academic publications (e.g., NeurIPS, CVPR, AISTATS, ICLR, ICML etc.);
            -

            -

            What\'s in it for you?

            -

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

            +

            What\'s in it for you?

              -
            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, and work/life balance options
            • -
            • Leaders who support your development through coaching and managing opportunities
            • -
            • Work in a dynamic, collaborative, progressive, and high-performing team
            • -
            • To be part of a large and growing global organization which puts client interests first and has a culture of fairness and accountability
            • +
            • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
            • +
            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
            • +
            • Ability to make a difference and lasting impact from a local-to-global scale.
            +

            About Borealis AI

            +

            Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

            +

            Inclusion and Equal Opportunity Employment

            +

            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

            +

            +
            ",,https://www.borealisai.com/careers/?gh_jid=6616707002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-06-28T17:42:30.457Z,False,0,4,36,https://talenthub.vectorinstitute.ai/jobs/230064449-senior-machine-learning-research-team-lead-at-borealis-ai,,expired,2023-05-28T15:55:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,PhD,New Posting, +05a4aea7-c626-421c-bf6c-c8b3b467eb0c,230331237,BMO Financial Group,"Senior Manager, Stress Testing Models & Analytics",on_site,"Ontario, Canada",2023-05-29T15:39:02.394Z,"
            +

            Application Deadline:

            08/25/2023

            +

            Address:

            100 King Street West

            +

            +

            Job Family Group:

            Data Analytics & Reporting

            +

            +

            +

            -

            Job Summary

            The Senior Director, Data & Analytics COE is responsible for leading a data and analytics Centre of Expertise and a team of data professionals within Canadian Banking Operations in support of Win For Today and Transform for Tomorrow P&CB imperatives. The Senior Director, Data & Analytics COE oversees the entire data and insight production life cycle from collection to destruction, leads innovations that leverages AI to elevate human/technology interaction, and executes across Operations Big Rocks objectives driving workforce insights and timely strategic decisions, enabling “Operations at Scale”.

            The Data & Analytics COE specializes in taking full advantage of large data sets to explore and discover new insights that would have not been possible with traditional analytics. Leveraging leading edge technologies and capabilities, the COE applies machine learning and statistical modelling techniques to help RBC understand the changing business environment, discover new growth opportunities and determine where business improvements can be made. This work is innovative, has a high level of complexity, and requires significant attention to detail. The Senior Director, Data & Analytics COE represents P&CB Operations to lead and participate in key enterprise and P&CB initiatives including Data Hub & Chapter enabling Mega Journeys, enable insight delivery supporting Operations Product Hub including Process 360, support governance priorities in Chief Data Office and P&CB Data Management Office, drive forward CBO Data Community including data leaders on sharing best practices.

            Address:

            TORONTO, Ontario, Canada

            City:

            CAN-ON-TORONTO

            Country:

            Canada

            Work hours/week:

            37.5

            Employment Type:

            Full time

            Platform:

            Personal and Commercial Banking

            Job Type:

            Regular

            Pay Type:

            Salaried

            Posted Date:

            2023-02-27-08:00

            Application Deadline:

            2023-03-11-08:00
            -

            Inclusion and Equal Opportunity Employment

            -

            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
            ​​​​​​​
            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

            -
            -

            Join our Talent Community

            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

            -
            ",,https://jobs.rbc.com/ca/en/job/R-0000050832/Senior-Director-Data-and-Analytics-COE,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-03-13T17:21:09.348Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/202113792-senior-director-data-and-analytics-coe-at-rbc,,expired,2023-03-06T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -1bf5a092-02c6-4e11-bd11-24408d08fcbf,195761417,Google,"Student Researcher, PhD, 2023",on_site,"Toronto, ON, Canada",2023-02-12T17:20:02.182Z,"
            -
            -2022-12-07T11:13:06.304Z
            -
              -
            • Share
            • -
              Save -
            • -

            Student Researcher, PhD, 2023

              -
            • Google
            • -
            • In-office:
              - Waterloo, ON, Canada -
            • -
            • + 2 more locations
            • -
            -
            -
            -

            -

            Participation in this program requires that you are located in Canada for the duration of the engagement.

            -

            This opportunity is intended for students who are pursuing a PhD degree with an anticipated graduation date after December 2024, depending on their program and unique circumstances. If you are graduating before December 2024, we encourage you to apply to the Research Internship opening.

            -

            To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English (PDFs preferred). Please ensure your anticipated graduation dates (in MM/YY) and any proficiency in coding languages are listed on resume.


            Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Toronto, ON, Canada; Montreal, QC, Canada.

            -
            -

            Qualifications

            -

            Minimum qualifications:

            -
              -
            • Currently enrolled in a PhD degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences.
              -
            • -
            • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, etc.).
              -
            • -
            -

            Preferred qualifications:

            +

            Undertakes development of quantitative risk modeling methodologies and related strategies with emphasis on the forecasting of stressed losses, determination of key drivers of change, and quantification of overlays where relevant. Conducts all aspects of the model development life cycle for credit stress testing models (wholesale / retail, North / South). Works closely and productively with business and functional stakeholders across the bank including line-of-business leaders, Senior Credit Officers, senior executives in risk and finance, and stress testing implementation teams in both Canada and the US. Conducts associated engagements and establishes credibility with model risk management, regulators, and internal audit. Facilitates innovation through the implementation of modeling approaches and process improvements that can be leveraged across the organization and enhances best practices. Functions in an environment of change effectively and proactively. Communicates challenging technical material to users from a variety of backgrounds clearly, effectively, and with influence.

              -
            • Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
            • -
            • Currently attending a degree program in Canada.
            • -
            • Experience as a researcher, including internships, full-time, or at a lab.
            • -
            • Experience contributing to research communities or efforts, including publishing papers in conferences or journals.
              -
            • -
            • Experience with one or more general purpose programming languages (e.g., C/C++, Java, MATLAB, Go, Python, etc.).
              +
            • Provides strategic input into business decisions as a trusted advisor.

            • +
            • Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group.

            • +
            • Acts as a subject matter expert on relevant regulations and policies.

            • +
            • May network with industry contacts to gain competitive insights and best practices.

            • +
            • Acts as a subject matter expert on relevant regulations and policies.

            • +
            • Oversees the development and delivery of tools and training reporting tools and self-serve analytics by non-analytical end users.

            • +
            • Influences and negotiates to achieve business objectives.

            • +
            • Identifies emerging issues and trends to inform decision-making.

            • +
            • Manages resources and leads the execution of strategic initiatives to deliver on business and financial goals.

            • +
            • Recommends business priorities, advises on resource requirements and develops roadmap for strategic execution.

            • +
            • Develops and manages comprehensive information management systems; designs and/or leads initiatives to improve processes, analysis and reporting.

            • +
            • Conducts independent analysis and assessment to resolve strategic issues.

            • +
            • Identifies emerging issues and trends to inform decision-making.

            • +
            • Acts as the prime subject matter expert for internal/external stakeholders.

            • +
            • Ensures alignment between stakeholders.

            • +
            • Builds effective relationships with internal/external stakeholders.

            • +
            • Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group.

            • +
            • Defines business requirements for analytics & reporting to ensure data insights inform business decision making.

            • +
            • Develops and applies the framework for databases; oversees database management in adherence with data governance standards.

            • +
            • Monitors and tracks performance, and addresses any issues.

            • +
            • Leads the execution of ad-hoc analytics and reporting solutions and cyclical programs; assesses and adapts as needed to ensure quality of execution (8,9).

            • +
            • Leads change management programs of varying scope and type, including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.

            • +
            • Leads the development of the communication strategy focusing on positively influencing or changing behaviour.

            • +
            • Collaborates across BMO to develop communications strategies and ensure consistency of messaging, in order to positively influence or change behaviour.

            • +
            • Leads the execution of operational programs; assesses and adapts as needed to ensure quality of execution.

            • +
            • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.

            • +
            • Provides advice and guidance to assigned business/group on implementation of analytical solutions.

            • +
            • Works with stakeholders to identify the business requirements, understand the distinct problems, and the expected outcome and models and frames business scenarios which impact critical business processes and/or decisions.

            • +
            • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.

            • +
            • Applies scripting/programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).

            • +
            • Develops agreed analytical solution by applying suitable statistical techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, artificial intelligence) to test, verify, refine hypotheses.

            • +
            • Summarizes statistical findings and draws conclusions and presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.

            • +
            • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.

            • +
            • Performs experimental design approaches to validate finding or test hypotheses.

            • +
            • Uses the appropriate algorithms to discover patterns.

            • +
            • Builds effective relationships with internal/external stakeholders. Ensures alignment between stakeholders.

            • +
            • Supports development of tools and delivers training for data and analytics.

            • +
            • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.

            • +
            • Leads/participates in the design, implementation and management of core business/group processes.

            • +
            • Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.

            • +
            • Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.

            • +
            • Implements changes in response to shifting trends.

            • +
            • +

              Broader work or accountabilities may be assigned as needed.

              +

              Qualifications:

            • -
            • Ability to speak and write in English fluently.
            • +
            • Typically 10+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

            • +
            • Proven experience in developing predictive models that are capable of functioning in real-life environments.

            • +
            • Proven experience in developing risk models that satisfy Canada and US regulatory expectations.

            • +
            • Data preparation, data analysis, and statistical tool sets including but not limited to Python, C++, SAS, R, MATLAB, SPSS.

            • +
            • Experience with application of Machine Learning and AI techniques to predictive modeling, including financial risk modeling.

            • +
            • Relevant experience in risk, financial modeling, predictive analytics, capital, and/or treasury management is required.

            • +
            • Seasoned professional with a combination of education, experience and industry knowledge.

            • +
            • Verbal & written communication skills - In-depth / Expert.

            • +
            • Analytical and problem solving skills - In-depth / Expert.

            • +
            • Influence skills - In-depth / Expert.

            • +
            • Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.

            • +
            • Able to manage ambiguity.

            • +
            • Data driven decision making - In-depth / Expert.

            -
            -
            -
            -

            About the job

            -

            The Student Researcher Program’s primary objective is to foster academic collaborations with students through research at Google. Join us for a paid Student Researcher position that offers the opportunity to work directly with Google research scientists and engineers on cutting-edge research projects.

            The Student Researcher Program offers more opportunities for research students to work on critical research projects at Google in a less structured way. The program allows for opportunities beyond the limitations of our traditional internship program on aspects such as duration, time commitment, and working location (with options for on-site or remote). The topics student researchers work on tend to be open-ended and exploratory, and don\'t always have a clear deliverable like a traditional internship would.

            -

            Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world\'s fast-paced business needs.

            -
            -
            -
            -

            Responsibilities

            • Participate in research to develop solutions for real-world, large-scale problems.
            -
            -

            Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

            Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

            To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

            To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

            At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

            We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

            Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

            -
            -
            -
            ",,"https://careers.google.com/jobs/results/125756449503486662-student-researcher-phd-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-03-15T15:59:05.940Z,False,0,12,74,https://talenthub.vectorinstitute.ai/jobs/195761417-student-researcher-phd-2023-at-google,,expired,2023-02-12T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,PhD,New Posting, -b0a3bfb0-a9d0-45e2-b2c2-50099f7df674,195761418,Google,"Student Researcher, MS, 2023",on_site,"Toronto, ON, Canada",2023-02-12T17:20:02.230Z,"
            -
            -2022-12-07T11:08:03.892Z
            -
              -
            • Share
            • -
              Save -
            • -

            Student Researcher, MS, 2023

              -
            • Google
            • -
            • In-office:
              - Waterloo, ON, Canada -
            • -
            • + 2 more locations
            • -
            -
            -
            -

            -

            Participation in this program requires that you are located in Canada for the duration of the engagement.

            -

            This opportunity is intended for students who are pursuing a MS degree with an anticipated graduation date after December 2024, depending on their program and unique circumstances. If you are graduating before December 2024, we encourage you to apply to the Internship openings.

            -

            To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English (PDFs preferred). Please ensure your anticipated graduation dates (in MM/YY) and any proficiency in coding languages are listed on resume.


            Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Toronto, ON, Canada; Montreal, QC, Canada.

            -
            -

            Qualifications

            -

            Minimum qualifications:

            +

            +

            +

            We’re here to help

            +

            +

            At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

            +

            +

            As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

            +

            +

            To find out more visit us at https://jobs.bmo.com/ca/en.

            +

            +

            BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

            +

            +

            Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

            +
            ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Manager--Stress-Testing-Models---Analytics_R230008687?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-06-28T17:53:22.808Z,False,0,3,18,https://talenthub.vectorinstitute.ai/jobs/230331237-senior-manager-stress-testing-models-analytics-at-bmo-financial-group,,expired,2023-05-29T15:39:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +3bec4cb1-d005-4c44-8991-33537c2a694a,160268721,TELUS,"Senior Project Manager, Data Engineering",on_site,"Ontario, Canada",2022-10-26T17:40:30.020Z,"
            +
            +

            Description

            +
            +


            Join our team and what we\'ll accomplish together

            +

            +

            We are the TELUS Data Strategy & Enablement team and our mission is to drive TELUS to become a world-class data insights driven organization, delivering world-class data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data and a data-product/data platform oriented culture. Our team members are passionate, dynamic, entrepreneurial and highly engaged, driven to achieve great outcomes for our customers, our team members, our communities and our environment. We believe in continuous meaningful transformation integrating dynamic change in our professional lives. Our team members are always learning, experimenting and applying tuition value into everything we do.

            +

            We are searching for a talented candidate to become our team’s Sr. Project Manager, Data Engineering. Reporting to the Director – Data Engineering Platforms, you will lead and deliver data driven technology projects in collaboration with the Data Engineering Platforms team. Our team is responsible for enabling, enriching and democratizating data for TELUS in order to support many business units across the organization drive revenue, realize cost savings & efficiencies and to improve the customer experience via the following major workstreams:

            +

              -
            • Currently enrolled in a Master\'s degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences.
              -
            • -
            • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, etc.).
              -
            • +
            • Master Data Management
            • +
            • Revenue Generating Unit Reporting
            • +
            • Usage and Revenue Reporting
            • +
            • Consumer and Business customer interactions
            • +
            • Data Lake and Oracle DB migration to the Google Cloud Platform (GCP).
            -

            Preferred qualifications:

            +


            We work with internal and external partners to develop new data products and services and provide the highest tier of support for our enterprise grade data pipelines to GCP for TELUS. We continuously strive to improve the reliability of our data and the overall GCP platform through technology innovations and the latest SRE best practices.

            +

            What you’ll do

              -
            • Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
            • -
            • Currently attending a degree program in Canada.
            • -
            • Experience as a researcher, including internships, full-time, or at a lab.
            • -
            • Experience contributing to research communities or efforts, including publishing papers in conferences or journals.
              -
            • -
            • Experience with one or more general purpose programming languages (e.g., C/C++, Java, MATLAB, Go, Python, etc.).
              -
            • -
            • Ability to speak and write in English fluently.
            • +
            • Develop and implement roadmaps that provide a consolidated view including updates, delivery plans, compiling financial forecasts, tracking actuals, managing purchases, tracking material.
            • +
            • Work closely with technical teams on the end to end delivery of customer facing features and content.
            • +
            • Managing the overall portfolio budget (CAPEX & OPEX) by monitoring expenditures to ensure costs stay within the approved budgeted amount
            • +
            • Gathering and analyzing financial data to identify areas for improvement and to keep projects on budget and on time.
            • +
            • Manage infrastructure deployment and software development projects.
            • +
            • Partner with internal and external teams to deliver on strategic initiatives.
            • +
            • Balance day to day workload with the demands of a fast-paced Agile delivery team.
            • +
            • Facilitate and maintain relationships between organization and vendors/partners.
            • +
            • Contribute to the establishment of a common set of practices, tools and templates for portfolio, program, and project-level management and ensure standards are being followed.
            -
            -
            -

            About the job

            -

            The Student Researcher Program’s primary objective is to foster academic collaborations with students through research at Google. Join us for a paid Student Researcher position that offers the opportunity to work directly with Google research scientists and engineers on cutting-edge research projects.

            -

            The Student Researcher Program offers more opportunities for research students to work on critical research projects at Google in a less structured way. The program allows for opportunities beyond the limitations of our traditional internship program on aspects such as duration, time commitment, and working location (with options for on-site or remote). The topics student researchers work on tend to be open-ended and exploratory, and don\'t always have a clear deliverable like a traditional internship would.

            -

            Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world\'s fast-paced business needs.

            -
            -
            -
            -

            Responsibilities

            • Participate in research to develop solutions for real-world, large-scale problems.
            -
            -

            Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

            Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

            To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

            To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

            At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

            We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

            Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

            -
            -
            -
            ",,"https://careers.google.com/jobs/results/97195329301947078-student-researcher-ms-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-03-15T15:59:43.671Z,False,0,19,122,https://talenthub.vectorinstitute.ai/jobs/195761418-student-researcher-ms-2023-at-google,,expired,2023-02-12T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Masters Degree,New Posting, -16e51374-0e6c-4038-a6ec-4253d498e131,195761416,Google,"Research Intern, PhD, Summer 2023",on_site,"Toronto, ON, Canada",2023-02-12T17:20:02.086Z,"
            -
            -2022-12-07T11:04:26.957Z
            -
              -
            • Share
            • -
              Save -
            • -

            Research Intern, PhD, Summer 2023

              -
            • Google
            • -
            • In-office:
              - Waterloo, ON, Canada -
            • -
            • + 2 more locations
            • -
            -
            -
            -

            -

            Please complete your application before March 31st, 2023 . Participation in the internship program requires that you are located in Canada for the duration of the internship program.

            -
            This internship is intended for students who are currently pursuing a PhD degree program in Computer Science or a related field with an anticipated graduation date on or after December 2023, depending on their program and unique circumstances. If you are graduating after December 2024, we encourage you to apply to the Student Researcher opening.
            -
            -

            To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English (PDFs preferred). Please ensure your anticipated graduation dates (in MM/YY) and any proficiency in coding languages are listed on resume.


            Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Toronto, ON, Canada; Montreal, QC, Canada.

            -
            -

            Qualifications

            -

            Minimum qualifications:

            +
            +
            +

            Qualifications

            +
            +

            What you bring

            +

              -
            • Currently enrolled in a PhD degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or a related technical field.
            • -
            • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Developing).
              -
            • +
            • 3-5 years of technical project management experience delivering IT Projects on Time, on Budget and with Quality.
            • +
            • Familiarity with Scrum, SAFe agile frameworks to manage product delivery.
            • +
            • Experience working with product owners to identify skill-sets and ensure backlog completeness including estimates.
            • +
            • Understanding of Big Data, Data Architecture, Informatica ETL tools and Google Cloud Platform products and services.
            • +
            • Skilled in using JIRA, Confluence, Google Suite, Fieldglass and SAP.
            • +
            • Manage project schedules, partners & vendors identifying risks and clearly communicating goals to project stakeholders.
            • +
            • Ability to foster collaborative working relationships with internal and external teams through leadership, embracing diversity and introducing new ideas
            • +
            • Skillful in problem-solving and resolving issues creatively and always through a customer lens.
            • +
            • Innovative and out of the box thinking - you are curious and never stop learning.
            • +
            • Ability to manage key deliverables, project status reporting, excellent communication and presentation skills as part of an extended project team and committed to working with engineers, architects and product managers.
            • +
            • Demonstrated ability to learn, both complex technical concepts and end to end business processes.
            • +
            • Flexible in managing ambiguity, uncertainty and changing priorities.
            • +
            • Bachelor\'s degree in Technology, Engineering, Business or other technical disciplines.
            -

            Preferred qualifications:

            +

            +

            Great-to-haves

              -
            • Currently attending a degree program in Canada and available to work full time for a minimum of 12 weeks outside of university term time.
              -
            • -
            • Anticipated graduation by December 2023 or returning to a degree program after completion of the internship.
              -
            • -
            • Experience contributing research communities or efforts, including publishing papers in major conferences or journals.
            • -
            • Experience with one or more general purpose programming languages.
            • -
            • Experience with one or more general purpose programming languages (e.g., Python, Java, JavaScript, C/C++, etc.).
              -
            • -
            • Ability to speak and write in English fluently.
            • +
            • PMP, Agile, CSM certifications.
            • +
            • Project Management experience in software automation, cloud migrations, hardware deployments & data analytics.
            -
            -
            -

            About the job

            -

            Join us for a full-time, 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. Research happens across Google everyday, in many different teams. Our research has already impacted user-facing services across Google, including Search, Maps, and Google Now, and is central to the success of Google Cloud and our planet-scale computing, storage, and networking infrastructure.

            Research Interns work closely with Developers to discover, invent, and build at the largest scale. Ideas may come from internal projects. From creating experiments and prototyping implementations to designing architectures, Research Interns work on challenges in artificial intelligence, machine perception, data mining, machine learning, natural language understanding, privacy, computer architecture, networking, operating systems, storage and data management, etc.

            -

            Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

            Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

            -
            -
            -
            -

            Responsibilities

              -
            • Develop and execute a research agenda.
            • -
            • Create and support a productive and innovative team, including working with peers, managers, and teams.
            • -
            -
            -

            Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

            Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

            To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

            To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

            At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

            We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

            Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

            -
            -
            -
            ",,"https://careers.google.com/jobs/results/74595809733026502-research-intern-phd-summer-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-03-15T15:58:23.197Z,False,0,12,77,https://talenthub.vectorinstitute.ai/jobs/195761416-research-intern-phd-summer-2023-at-google,,expired,2023-02-12T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,PhD,New Posting, -6dd39cd4-1a37-4a8b-9ba5-a615b46d58f9,203172180,Scotiabank,"Senior Analyst, Data Regulatory Reporting, AML Risk",on_site,Canada : Ontario : Toronto,2023-03-09T17:22:03.499Z,"

            -

            -

            +
            +
            ",,https://careers.telus.com/job/Toronto-Senior-Project-Manager%2C-Data-Engineering-ON/561156817/,feed-importer@jobboard.io,,,,2022-11-26T15:17:38.372Z,False,0,2,21,https://talenthub.vectorinstitute.ai/jobs/160268721-senior-project-manager-data-engineering-at-telus,,expired,2022-10-26T17:40:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Masters Degree,New Posting, +fb1f3ff5-13b2-4c86-89ee-9dcdb12d9856,168107506,Bell Canada,"Senior Manager, Data Science",on_site,"Toronto, Ontario",2022-11-17T17:21:03.712Z,"

            Req Id: 405895

            +

            +

            At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

            +

            +

            If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team.

            +

            Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.

            -

            Requisition ID: 175215

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            +

            Are you ready to grow your career by taking on a new role at Bell? We always look for qualified internal applicants within our own team to support their development.
            The Bell Media team creates and delivers the best Canadian and international content across our digital media, television, radio, and out-of-home advertising platforms. We’re looking for innovative team players ready to take some of the most well-known entertainment brands in the country to the next level.

            +


            Do you know someone who would be perfect for this opportunity? If you refer a qualified candidate who is not a current Bell employee and they are hired, you may be eligible to receive a referral bonus! Simply look for the referral hashtag in the job description to see if this role qualifies.

            +


            Bell Canada’s Customer Experience, Media, Data Engineering & AI team is building out the next generation of experience for customers across Digital and Linear properties. Our team is responsible for the management and optimization of Bell Media BI systems used to analyze customer behaviour, automate business insight processes, target marketing and provide insight to drive optimal business decisions. Our Data Science partners with our business teams to define problem statements and design insight and data driven models to support our key stakeholders.

            +

            Key Responsibilities:

            +
              +
            • Own the Data Science and Advanced Analytics roadmap
            • +
            • Build and manage cycle of machine learning product development from inception to launch to monitoring
            • +
            • Collaborate with cross-functional, agile teams of data engineers, ML engineers, and product managers in solving business problems
            • +
            • Support, develop, and grow a highly engaged analytics and data science team
            • +
            • Collaborate with a wide range of stakeholders, including product, analytics, and data engineering teams to define and deliver data solutions.
            • +
            +


            Minimum Qualifications:

            +
              +
            • Demonstrated ability and proven experience as a leader
            • +
            • History of collaboration with quantitative research and data science groups
            • +
            • Ability to analyze and transform data into actionable insights for different teams
            • +
            • Knowledge of ML models: deep learning, reinforcement learning, NLP, and others
            • +
            • Demonstrated experience and knowledge in delivering achievable roadmaps through design and implementation.
            • +
            • Experience managing and developing a team of 4+ data scientists and analysts.
            • +
            • Ability to develop and communicate new ideas into business objectives and conceptualize approaches and solutions.
            • +
            • Advanced Excel and Powerpoint experience, including presentation experience for senior executives
            • +
            • Advanced SQL skills
            • +
            • Working knowledge of Python
            • +
            +


            Preferred Qualifications:

            +
              +
            • 5+ years of experience in digital analytics and with data science
            • +
            • Degree in a discipline such as: Data Science, applied math, applied science / engineering, economics/econometrics, management science / operations research, or related area
            • +
            • Media/Entertainment experience
            • +
            • Hands-on experience defining and operationalizing ML models into operational systems using cloud tools
            • +
            • Experience with distributed data and cloud computing resources such as AWS, GCP
            • +
            • Hands-on experience defining and operationalizing ML models into operational systems using cloud tools
            • +
            +

            #Careers #Management #DataScientist #DataScience #GCP #AWS #Python #SQL #ML #AI #Leader #Talent #LI-MS2 #talent #tech #indeed #LI-Hybrid

            +

            #EmployeeReferralProgram

            -

            Job Purpose

            -


            The Senior Analyst scrutinizes and evaluates FINTRAC regulatory reporting with a focus on analytical procedures for effective reporting. Guided by Bank policy, receives direct supervision from the Senior Manager. Within a well-defined task, the Senior Analyst is expected to function independently while ensuring that management is kept informed and that problems and issues are escalated appropriately.

            +

            Adequate knowledge of French is required for positions in Quebec.

            -

            Key Accountabilities

            +

            Additional Information:

            +

            Position Type: Management
            Job Status:
            Regular - Full Time
            Job Location:
            Canada : Ontario : Toronto
            Flexible work profile:
            Mobile
            Application Deadline: 11/23/2022

            -


            • Provides senior management with consistent, consolidated, annotated reporting on AML regulatory reporting to FINTRAC, specific to Canadian legislation, with specific emphasis on Large Cash Transaction Report (LCTR) and Electronic Funds Transfer Report (EFTR) requirements.
            • Identifying unacceptable AML risks and escalating appropriately to Manager.
            • Identify, track, and communicate system improvement opportunities and analytic defects, and participate in the implementation process.
            • Assist in the creation and maintenance of analytical tools (Advanced Excel tools) and reporting dashboards (e.g. Tableau, PowerBI) in respect to FINTRAC regulatory reporting.
            • Assist in the development of business requirement documents and user acceptance testing of AML front end and detective controls. Participate in the operational implementation process by assisting in the creation of job aids and workflows, the development of communications and publications, the development of conversion and implementation strategies, training staff, and post-implementation support.
            • Support and continuously improve the on-going initiatives in respect to AML regulatory reporting to FINTRAC, by providing ad hoc reporting, monitoring efficiency/effectiveness of reporting through analytical processes, soliciting feedback, and critically assessing procedures.
            • Prepare documents for audit review and validate.
            • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
            • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, Enterprise AML/ATF Global Handbook and the Guidelines for Business Conduct.

            +

            All team members are expected to reside in Canada and within a reasonable commuting distance from their work location to ensure that they are able to come to the office as required, whether the visit is planned or unplanned.

            +


            Please apply directly online to be considered for this role. Applications through email will not be accepted.

            -

            Functional Competencies

            -


            • A proven ability to critically assess, prioritizes tasks, and delivers meaningful results in a fast-paced environment.
            • Basic knowledge of operational processes including best practices, current and anticipated regulatory requirements, Back Office processes, and the end-to-end workflows among the Front and Back Offices.
            • Good interpersonal and communication skills in both oral and writing, and to ability exercise diplomacy and judgement, to effectively work with end users, members of project teams, and stakeholders across the global organization.
            • Proficient with querying in database management software (e.g. Microsoft SQL Server Management Studio, Oracle, MySQL)
            • Proficiency in advanced functions in Microsoft Excel, such as VLOOKUP, Nested IFs, SUMIFs, Fuzzy Logic
            • Proficiency with languages and tools: Python, VBA
            • Proficiency with data analytics and visualization/ case management software, (e.g. Tableau, PowerBI).
            • Working knowledge of XML an asset
            • Proven ability to effectively analyse large amounts of transactional and case management data.
            • Proven creative, self-starter, results-oriented, and highly motivated individual with good analytical skills in order to apply this knowledge to improve existing solutions and assist in the development of AML/ATF strategies.
            • Strong knowledge of regulatory compliance, particularly with respect to FINTRAC regulatory reporting (including LCTR/EFTR).
            • Experience with SWIFT EFT/Non SWIFT EFT/LCTR reporting (e.g. MT 103 messages)

            -

            Education / Experience

            -


            • A recognized under-graduate degree in a business or technical discipline (Accounting, Finance, Data Science, Statistics or a related field) or a minimum of 2 years of related experience

            +

            At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

            +

            Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

            +

            Created: Canada, ON, Toronto

            -

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst%2C-Data-Regulatory-Reporting%2C-AML-Risk-ON-M5C2W1/568407417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-03-16T17:27:03.383Z,False,0,5,18,https://talenthub.vectorinstitute.ai/jobs/203172180-senior-analyst-data-regulatory-reporting-aml-risk-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst%2C-Data-Regulatory-Reporting%2C-AML-Risk-ON-M5C2W1/568407417/,expired,2023-03-09T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -a8bbd0ed-969c-4ae8-8be2-86fc1711dc04,200118247,Shopify Inc.,Staff Data Engineer,on_site,"Ontario, Canada",2023-02-27T17:42:09.984Z,"

            About the role

            -

            Core Optimize Data Science & Engineering is an interdisciplinary product group that builds:

            +

            Bell, one of Canada's Top 100 Employers.

            ",,https://jobs.bell.ca/ca/en/job/BECACA405895EXTERNALENCA/Senior-Manager-Data-Science?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2022-11-24T15:35:00.000Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/168107506-senior-manager-data-science-at-bell-canada,BECACA405895EXTERNALENCA,expired,2022-11-17T17:21:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Masters Degree,New Posting, +08373746-8932-4e46-b8d0-2833a7899074,167447538,RBC,"Manager, Data Insight Analytics",on_site,"Toronto, ON, Canada",2022-11-15T17:16:02.290Z,"
            +

            Come Work with Us!

            At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

            Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

            +

            Job Title

            Manager, Data Insight Analytics

            +

            +

            Job Description

            +

            +

            WHAT IS THE OPPORTUNITY?

            +

            +

            As a Manager, Data Insight Analytics, you will work closely with Platform Product Owners, LOB Product Owners, Marketing and Sales teams, and Senior Management to uncover analytic insights, develop net new data assets, build dashboards and model data that will enable data-driven decisions. RBC is always looking for ways to improve the user experience and drive sales through improved use of analytics at the point of client interaction. In this role you will be responsible for supporting the end to end implementation of the analytics lifecycle - data collection, deep dive insight analytics, reporting and presentations. You will provide objective, value-added insights and analysis to enable product owners to make strategic data-driven decisions. The person in this role will build critical understanding of RBCs products and the associated client behaviours to help deliver business value. The delivery of business value in this role comes from a combination of knowledge transfer to key stakeholders and the provisioning of data services and tests to client facing applications Insights and Analytics:

            +

            +

            WHAT WILL YOU DO?

            +

            Data Collection/Ingestions/Acquisition:

              -
            • the foundational data infrastructure that powers the analytical experiences for millions of merchants globally
            • -
            • product analytics to understand how merchants use analytics to grow their businesses
            • -
            • discovery and investigation data products to enable deeper usage of analytics for merchants
            • -
            • ML powered data products that render network effects to merchants
            • +
            • Execute analytics plans on large data sets representing the behaviors, demographics and product attribute of prospects and clients.

            • +
            • Use a variety of analytical methods (descriptive, diagnostic and predictive) such as causal inference, time series analysis, and hypothesis testing to find actionable insights

            • +
            • Based on evidence, make recommendations to leadership and stakeholders to support strategies and drive decisions

            • +
            • Collaborate with data developers, DevOps, data engineers and cloud engineers to implement new data collection/ingestion/acquisition

            • +
            • Support business stakeholders in identifying needs for additional data acquisitions, and coordinate plans to orchestrate data acquisitions

            • +
            +

            Digital Product Reporting and Presentations:

            +
              +
            • Support the creation of Business Intelligence reporting that can be automated using reporting tools; Define, communicate and enforce reporting and analytics standards, policies and data governance

            • +
            • Deliver clear, concise and timely reports and presentations identifying trends, issues and opportunities.

            • +
            +

            Stakeholder Consultancy:

            +
              +
            • Support relationships with key business stakeholders to develop, execute and monitor complex insights and analytical solutions to business problems using a variety of analytical approaches and methodologies.

            • +
            • Digest complex problems and organize into achievable milestones. Manages stakeholder expectations and keeps them up-to-date with project statuses.

            • +
            • Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine

            -

            The OptimizeDevelop Data Engineering team plays a critical role within this group, developing the backend tools, capabilities, data models, and interfaces for Shopify and its partners to access the freshest, cleanest data available. Shopify\'s Editions | Winter \'23 showcases this work.

            -

            In this role, you will serve as technical lead for large parts of our infrastructure investments, extending the current capabilities of our data access layer, data models, and data warehouse to enable new analytical experiences for millions of merchants around the world. Your team will partner with Data Science, Data Foundations, Compute and Streaming teams by maintaining and optimizing backend infrastructure tooling for analytical model and ETL development.

            -

            The tooling developed and maintained by this group allows our Data Scientists to operationalize complex, low latency data sets that drive analytical experiences from initial deployment through to production. You will be tasked with providing technical leadership within your team to support the mission and working closely with a cross-functional team of data scientists, data engineers, and engineering leaders.

            -

            Qualifications

            +

            WHAT DO YOU NEED TO SUCCEED?

            +

            Must-have

              -
            • Staff Data Engineers at Shopify typically have 2+ years of previous experience at the Staff or Lead level, with proven ability to lead large development initiatives, mentor peers, and generally 7-10+ year of hands on software/data development experience
            • -
            • You're highly technical and familiar with all components of a typical data stack (ranging from data acquisition, storage, modeling and process, to serving)
            • -
            • You bring strong experience with data systems and data infrastructure at scale
            • -
            • You have a deep understanding of the modern data stack including Flink, binary storage formats like Parquet, dbt or spark, SQL engine, etc.
            • -
            • You naturally lean toward mentoring high-caliber engineers with diverse technical strengths and backgrounds
            • -
            • You bring exceptional communication skills, can easily translate technical concepts into easy to understand language for stakeholders and partners
            • -
            • You are committed to continuous improvement and technical excellence
            • +
            • 2+ years\' experience in related digital product development, marketing analyst or data mining role

            • +
            • Proven analytics and problem-solving skills, strong drive and desire to understand relationship of organizational components

            • +
            • BA/BSc or above in mathematics, economics, statistics, computer science or related quantitative field

            • +
            • Knowledge of advanced digital analytics methodologies such as experimentation and testing, competitive analysis, surveys and market research.

            • +
            • Advanced experience with SQL, Python, or Scala, strong team player with track record of collaboration and experience working as part of an agile team

            -

            We know that looking for a new role can be both exciting and time-consuming, so we truly appreciate your effort. We want to know what you're really interested in building and why you want to build it at Shopify, so please give us as much detail on this as you'd like in the answers on the next page. 👍 📖

            -

            Closing date for this posting is scheduled for March 9, 2023.

            -
            ",,https://www.shopify.com/ca/careers/staff-data-engineer_354198f6-d6b8-4f79-b753-c528289bea25,feed-importer@jobboard.io,,,,2023-03-16T17:47:03.741Z,False,0,5,47,https://talenthub.vectorinstitute.ai/jobs/200118247-staff-data-engineer-at-shopify-inc,,expired,2023-02-27T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, -1aade26f-f7e9-43ec-81a2-274d12cb298f,198033205,BMO Financial Group,Senior Manager: Predictive Analytics & Intelligence,on_site,"Ontario, Canada",2023-02-20T17:12:03.696Z,"
            -

            Address:

            VIRTUAL59 - HomeRes - ON - BMO

            -

            -

            Job Family Group:

            Data Analytics & Reporting

            -

            -

            -

            -

            Performs sophisticated data analytics (fraud) to explore and identify known or previously unidentified criminal behaviors among customer groups across BMO. Applies knowledge of advanced analytics algorithms and technologies to develop analytic solutions and support decision making. Develops and implements the strategies for technology as related to business requirements. Acts as a subject matter expert on BMO data and data modelling for criminal risk mitigation to guide management programs and investigation activities. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

            +

            Nice-to-have

              -
            • Manages people and leads a team capable of delivering the desired business results to mitigate organized crimes.
            • -
            • Applies scripting / programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
            • -
            • Acts as a subject matter expert on relevant regulations and policies.
            • -
            • Network with fraud industry contacts to gain competitive insights and best practices on fraud intelligence
            • -
            • Ensures alignment between analytics, business and technical sides of strategies to improve performance and effectiveness within EFM.
            • -
            • Conducts independent analysis and assessment to resolve strategic issues.
            • -
            • Uses the appropriate algorithms to discover patterns.
            • -
            • Breaks down strategic problems, and analyses data and information to provide insights and recommendations.
            • -
            • Leads/participates in the design, implementation and management of core fraud business/group processes.
            • -
            • Identifies and understands new and emerging patterns of fraud, both external and internal.
            • -
            • Identifies and acquires appropriate data for fraud analysis based on knowledge of BMO product, data warehouse systems and architectural linkages.
            • -
            • Develops complex technical rules/ scenarios to maximize the effectiveness of fraud detection and prevention programs.
            • -
            • Applies statistical, data mining and pattern analysis techniques to determine relationships between transactions, customer data and known/predicted fraudulent behaviours.
            • -
            • Summarizes statistical findings, draws conclusions and presents actionable business recommendations.
            • -
            • Manages risk and minimizes losses through monitoring, controlling, audits and verifications in accordance with compliance requirements, policies, procedures and regulations.
            • -
            • Provides leadership and oversight on the identification, analysis and resolution of issues, recommending appropriate courses of action and creating solutions.
            • -
            • Supports development and execution of strategic initiatives in collaboration with stakeholders.
            • -
            • Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
            • -
            • Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
            • -
            • Implements changes in response to shifting trends.
            • -
            • Broader work or accountabilities may be assigned as needed.

              Qualifications:

              -
            • -
            • Typically 7+ years of relevant experience and a Masters degree in related field of study.
            • -
            • Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience.
            • -
            • Advanced knowledge of fraud and security management.
            • -
            • Advanced knowledge of Statistical Analyses and Human Behavior Modeling.
            • -
            • Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, , Perl) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
            • -
            • Seasoned professional with a combination of education, experience and industry knowledge.
            • -
            • Verbal & written communication skills - Indepth / Expert.
            • -
            • Analytical and problem solving skills - Indepth / Expert.
            • -
            • Influence skills - In-depth / Expert.
            • -
            • Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.
            • -
            • Able to manage ambiguity.
            • -
            • Data driven decision making - In-depth / Expert.
            • +
            • Experience with Spark, Scala, Hive, Python is a preferred

            • +
            • Good understanding of AWS Big Data services such as Amazon S3, EMR and Glue

            • +
            • Experienced with Jupyter Notebooks, IntelliJ, Visual Studio Code other notebook environments

            • +
            • Experience working in Unix/Linux environments and working as part of an agile team using Github and JIRA

            • +
            • Experience with digital data collection tools such as Google Analytics, knowledgeable in data modeling, data orchestration and data pipeline

            -

            -

            -

            We’re here to help

            -

            At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

            +

            WHAT’S IN IT FOR YOU

            +

            We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

            +
              +
            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

            • +
            • Leaders who support your development through coaching and managing opportunities

            • +
            • Ability to make a difference and lasting impact

            • +
            • Work in a dynamic, collaborative, progressive, and high-performing team

            • +
            • A world-class training program in financial services

            • +
            • Flexible work/life balance options

            • +
            • Opportunities to do challenging work

            • +

            -

            As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

            +

            RBC is committed to supporting flexible work arrangements when and where available. Details to be discussed with Hiring Manager.

            -

            To find out more visit us at https://jobs.bmo.com/ca/en.

            -

            BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

            +

            Job Summary

            and the provisioning of data services and tests to client facing applications

            Address:

            TORONTO, Ontario, Canada

            City:

            CAN-ON-TORONTO

            Country:

            Canada

            Work hours/week:

            37.5

            Employment Type:

            Full time

            Platform:

            Personal and Commercial Banking

            Job Type:

            Regular

            Pay Type:

            Salaried

            Posted Date:

            2022-11-14-08:00

            Application Deadline:

            2022-11-27-08:00
            +

            Inclusion and Equal Opportunity Employment

            +

            At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
            ​​​​​​​
            We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

            +
            +

            Join our Talent Community

            Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

            Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

            +
            ",,https://jobs.rbc.com/ca/en/job/R-0000036308/Manager-Data-Insight-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2022-11-28T14:56:00.000Z,False,0,2,14,https://talenthub.vectorinstitute.ai/jobs/167447538-manager-data-insight-analytics-at-rbc,,expired,2022-11-15T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, +1db39aa3-bc99-4387-a56e-2af5a93a37c4,167456248,Sun Life Financial,"Director, Data and Analytics Transformation",on_site,"Ontario, Canada",2022-11-15T17:40:06.483Z,"
            +

            You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

            -

            Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

            -
            ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Virtual-ON-CAN/Senior-Manager--Predictive-Analytics---Intelligence_R230002225?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-03-17T15:43:00.000Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/198033205-senior-manager-predictive-analytics-intelligence-at-bmo-financial-group,,expired,2023-02-20T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Masters Degree,New Posting, -f1a638ae-5c9a-4eac-bfc0-2bd757b5c5d1,212880414,Scotiabank,"Manager, Non-Pre Approval Originations (Data Analytics)",on_site,Canada : Ontario : Toronto,2023-04-06T17:22:06.092Z,"

            -

            -

            -

            -

            Requisition ID: 176519

            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

            -

            -

            Purpose of Job:

            -

            -

            The Manager, Non-Pre-Approval Originations will develop and monitor credit risk origination strategies, policies, and processes in order to optimize risk/return for credit cards, unsecured lines of credit, unsecured installment loans and over drafts for the Canadian retail portfolio.

            -

            The manager will use in-depth portfolio analytics to optimize approval/decline decision criteria, automation decision, and limit assignment strategies for New and Existing customers, leveraging champion/challenger capabilities to confirm assumptions, learn about shifts in consumer credit behavior, and identify risks/opportunities that will impact the Risk Appetite Framework. These tasks will be accomplished leveraging extensive consumer data, credit risk and lending business expertise and advanced analytics techniques including machine learning. The person must have strong communication skills to propose changes to senior management and collaborate with risk partners including Product, Operations, and Technology.

            -

            This position requires technical expertise including experience with risk technologies origination and various testing methods to lead strategy and policy implementation with minimal defect, as well as a deep understanding of credit bureau information.

            -

            -

            Job Responsibilities:

            -

            -

            Origination Strategies

            -
            • Develop credit risk origination strategies and policies for the Canadian unsecured lending, with goal of using observational decision models to approve credit and set customer credit exposure.
            • Ensure all new approved credit is aligned with risk appetite and regulatory requirements and will optimize risk/return over the long term.
            • Lead successful implementation of strategy changes across different technology platforms and channels. Promote lean adjudication decision design.
            • Identify opportunities to improve/examine new risk strategies with building a robust and competitive portfolio in mind.
            • -
            -

            -

            Portfolio Monitoring

            -
            • Improve and maintain monthly/weekly performance monitoring on new accounts acquired through different channels and special programs. Owner of the end-to-end reporting process (from raw data in SQL tables to automated production-grade dashboards).
            • Assess strategy effectiveness and proactively identify if any segments are or will impact provisioning estimates as vintages mature.
            • -
            -

            -

            Support Business Line Initiatives/Projects

            -
            • Ensure all business line judicious priorities (i.e. growth, new product launches, new channels, new processes, new business line acquisitions) are consistent with Risk Appetite Framework.
            • Represent Risk’s point of view and liaise with stakeholders throughout the organization to listen actively, speak, and explain risk measures clearly and as appropriate.
            • Bring innovative solutions to Projects/programs that are consistent with the Bank’s customer/business objectives and risk guardrails
            • -
            -

            -

            Job Requirements:

            -

            -
            • A minimum of 3-5 years with an organization in the risk management or analytics field, with rigorous logical thinking and solid understanding of credit principles.
            • Prior experience in a retail lending environment or credit risk management is an asset.
            • Strong knowledge designing strategies that impact organization’s P&L.
            • Proficiency in programing and database (SAS/Enterprise Miner or similar statistical software including the ability to apply advanced statistical techniques, SQL, R, Python).
            • Able to translate data into digestible dashboards and business insights (PowerBI, Tableau, PowerApp).
            • Ability to work effectively within a team, able to multi-task and prioritize.
            • Excellent communication and written skills complemented with solid deductive reasoning, sound judgement, and creativity.
            • Bachelor’s degree or higher or equivalent work experience;
            • -
            -

            -

            Location(s): Canada : Ontario : Toronto

            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

            ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Non-Pre-Approval-Originations-%28Data-Analytics%29-ON-M5C2W1/569312017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-06T18:37:58.249Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/212880414-manager-non-pre-approval-originations-data-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Non-Pre-Approval-Originations-%28Data-Analytics%29-ON-M5C2W1/569312017/,expired,2023-04-06T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -3a1daefe-1544-4109-82f9-3513e4a93bac,212882758,EY,Senior Manager - Data Architect - Toronto,on_site,Toronto,2023-04-06T17:37:01.634Z,"

            Senior Manager - Data Architect - Toronto

            Location: Toronto
            Other locations: Primary Location Only
            Date: Apr 27, 2023
            At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
            -
            -

            The opportunity

            -

            -

            We are seeking an experienced Data Architect that can translate business strategies and requirements into world-class technical solutions, applications, and process designs. The role assumes the responsibility for all technical aspects of solution delivery, from inception through design to implementation. They will conduct regular detailed solution analysis and provide expert judgment pertaining to highly complex technical issues including all aspects related to development, infrastructure, data, and configuration management perspectives. This role requires a rare blend of skills normally found in the specialized roles of Cloud Architect, Data Analyst, Data Engineer and Reporting Specialist. The Data Architect will also assist in the establishment and enforcement of architectural standards and best practices to ensure consistency in data solutions delivery across development teams.

            -

            -

            Your Key Responsibilities:

            -
            • Lead and provide oversight into the design of end-to-end data solutions including data architecture, data integration, data modelling, security, privacy, regulatory, performance, data governance, business intelligence, etc. and to ensure alignment to the overall business needs
            • Provide technical oversight and recommendations on data infrastructure (on-prem and Cloud)
            • Lead discovery sessions with primary business stakeholders to obtain knowledge of business objectives, challenges, and requirements
            • Present and socialize proposed solutions to technical boards during review sessions as well as articulate and communicate designs to stakeholder groups
            • Support solution delivery by providing insights to the application development teams and project managers that plan and execute delivery activities
            • Support implementation processes in association with internal and external development teams. Participate in project-related activities.
            • Assume responsibility for the quality of the implemented solution and its adherence to technology strategies, standards, and best practices
            • Create solution architecture documents that describe and explain solution attributes and associated benefits
            • Stay current on emergent technologies relevant to supporting the data solutions delivered for customers
            • Support the identification of opportunities for continuous improvement of solution management methodologies, including obtaining feedback after the solution has been implemented
            • Assist in the identification and recommendation of appropriate solutions, upgrades, replacements, or decommissioning options incorporating business and technology productivity, usability, and total cost of ownership
            • -
            -


            To qualify for the role you must have:

            -
            • Bachelor’s degree in Information Technology, Software Engineering, Computer Science, or related field. Related professional certifications and/or training is considered an asset.
            • 10+ years demonstrated experience in the design and implementation of modern data architectures to support large scale data solutions
            • Expert knowledge of data patterns to support architectures and data management concepts/processes including ETL/ELT, Data Mesh, date lake, data lakehouse, data warehouse, data streaming, data virtualization, etc.
            • Strong understanding of data modeling (dimensional, data vault, etc.) principles and techniques based on established methodologies (e.g., Kimball).
            • Strong knowledge of ETL tools such as Informatica, SSIS, Talend, DataStage, etc. as well as standards and best practices for ETL development
            • Strong knowledge of data governance framework principles and vendor platforms (e.g., Collibra, Informatica EDC/Axon)
            • Experience with data manipulation and visualization tools such as Tableau, Power BI, etc.
            • Strong knowledge of SQL and demonstrated ability to apply SQL to a wide variety of business requirements.
            • Strong Knowledge of ETL frameworks using Azure Data Factory and Databricks Notebooks.
            • Strong knowledge in data warehousing concepts and data platforms (e.g., Snowflake, Databricks)
            • Strong knowledge of Azure-based architecture and services such as RBAC, AAD, VM, ADLS, Azure DevOps, and Events hub.
            • Proficient in building secure architecture using: Encryption, Azure key vault, Access control, Network security, and Advanced data security.
            • Knowledge of MDM concepts and solutions
            • Demonstrated experience deploying data solutions in Big Data platforms (e.g., AWS, Azure, GCP, etc.).
            • Strong analytical and decision-making skills.
            • Experience working within multidisciplinary, distributed, and collaborative environments.
            • -
            -


            What we look for

            -

            -

            We’re interested in passionate leaders with a strong vision and a desire to stay on top of trends in the IT Advisory space. If you have a strong passion for helping businesses achieve their IT strategy, this role is for you.

            -

            -

            What we offer

            -

            -

            At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

            -


            We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

            -
            • Support and coaching from some of the most engaging colleagues in the industry
            • Learning opportunities to develop new skills and progress your career
            • The freedom and flexibility to handle your role in a way that’s right for you
            • -
            -

            -

            Diversity and Inclusion at EY

            Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. From our actions to combat systemic racism and our advocacy for the LGBT+ community to our innovative Neurodiversity Centre of Excellence and Accessibility initiatives, we welcome and embrace the diverse experiences, abilities, backgrounds and perspectives that make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

            -
            -
            EY | Building a better working world
            -
            -
            EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
            -
            -
            Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
            -
            -
            Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
            ",,https://careers.ey.com/ey/job/Toronto-Senior-Manager-Data-Architect-Toronto-ON-M5H-0B3/897923401/,feed-importer@jobboard.io,,,,2023-05-06T19:09:54.735Z,False,0,4,24,https://talenthub.vectorinstitute.ai/jobs/212882758-senior-manager-data-architect-toronto-at-ey,https://careers.ey.com/ey/job/Toronto-Senior-Manager-Data-Architect-Toronto-ON-M5H-0B3/897923401/,expired,2023-04-06T17:37:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,New Posting, -03f9078d-882a-4728-84d6-88ca0fec1d40,212883407,CN,"Expert, Data Analysis and Governance",on_site,"Ontario, Canada",2023-04-06T17:42:02.765Z,"

            -

            At CN, everyday brings new and exciting challenges. You can expect an interesting environment where you’re part of making sure our business is running optimally and safely―helping keep the economy on track. We provide the kind of paid training and opportunities that long-term careers are built on and we recognize hard workers who strive to make a difference. You will be able to thrive in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

            -

            Job Summary

            -

            The Expert Data Analysis and Governance is responsible for facilitating access and analysis of all employee-related data (e.g., workforce demographics, hiring, attrition). The role handles and governs large quantities of data from multiple data sources, including the ability to merge it and ensure its consistency. Moreover, the role encompasses the development and creation of visualization and analysis tools to be used by the Human Resources (HR) function and CN’s executive leaders, as well as the ability to perform complex analysis on an ad hoc basis. It involves seeking out and understanding new data sources, merging it with other sources and modelling in order to provide a consumable format for analysis.

            -

            Main Responsibilities

            -

            Data Management

            -

            · Find and interpret rich data sources

            -

            · Handle large amounts of data despite hardware, software, and bandwidth constraints

            -

            · Merge data sources and ensure consistency of datasets

            -

            · Create visualizations to aid in understanding data and build mathematical models

            -

            Analytical Support

            -

            · Provide analytical support by creating and sharing regular and ad hoc reports as required

            -

            · Develop and optimize Tableau and Power BI reports and applications to deliver simplified analytics to support insight development

            -

            Data Interpretation

            -

            · Work with partners in HR and other functions on the extraction, analysis and interpretation of relevant data points from different source systems (e.g., workforce, recruiting, training, etc.)

            -

            Data Optimization

            -

            · Query large datasets and link related factors to reveal performance, safety or cost-saving opportunities

            -

            · Analyze data, spot trends, and bring change to the organization

            -

            · Explore and examine data from multiple disparate sources

            -

            Working Conditions

            -

            The role has standard working conditions in an office environment with a regular workweek from Monday to Friday. The role is eligible to participate in CN’s flexible work policy. Due to the nature of the role, the incumbent must be able to meet tight deadlines, handle pressure, and stress.

            -

            Requirements

            -

            Experience

            -

            Relational Databases and Modeling

            -

            · Minimum 5 years of experience with relational databases and modeling techniques and coding (e.g., Structured Query Language (SQL) Server)

            -

            · Experience developing dashboards and interactive analytical tools and visualizations

            -

            Education/Certification/Designation

            -

            · Bachelor’s Degree in Business Administration, Computer Sciences, Software Engineering, Statistics or equivalent degree and experience

            -

            Competencies

            -

            · Demonstrates agility and drives change

            -

            · Knows the business and stays current on industry needs

            -

            · Communicates with impact

            -

            · Collaborates with others and shares information

            -

            · Demonstrates active listening

            -

            · Solves problems to create value

            -

            Technical Skills/Knowledge

            -

            · Expert-level skills and usage of Microsoft Office (Excel and Access), Tableau and Power BI

            -

            · Expansive knowledge of HR metrics, data, and business intelligence strategies

            -

            About CN
            CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

            +

            Job Description:

            +

            Role Summary

            -

            -

            CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

            -
            ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/10675?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-05-06T19:31:39.353Z,False,0,9,48,https://talenthub.vectorinstitute.ai/jobs/212883407-expert-data-analysis-and-governance-at-cn,,expired,2023-04-06T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Mid-Senior Level,Bachelors Degree,New Posting, -a20d9d68-8f62-44df-8886-a756c6bd89e0,219397503,Sun Life Financial,"Director, Data Engineering",on_site,"Ontario, Canada",2023-04-27T17:41:02.615Z,"
            -

            You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

            +

            The Client Solutions Centre (CSC) within Sun Life (SL) Canada represents one of the fastest growing and most profitable areas in the Canadian operation. With over $18B in assets in our Choices plans and incredible penetration with our insurance Choices products, the CSC has successfully offered group members who are leaving their employers the choice to keep their assets and benefits with Sun Life Financial through a convenient process at competitive rates.

            +

            The Director, Data & Analytics Transformation in CSC, will report to the AVP CSC Analytics and will lead a team of data & analytics practitioners and is responsible for the strategy & execution of data & analytics capabilities in support of the ‘CSC Bold’ strategy.

            -

            Job Description:

            -

            Role Summary

            +

            What will you do?

            -

            The Data Enablement COE within the Client Experience Office (CXO) at Sun Life is on a mission to transform how the company applies data and analytics to support Sun Life Canada\'s transformation to a client centric, data driven organization.

            +

            Transform the business

            +
              +
            • Identify and review strategic issues facing the business and provide analysis, decision support, and develop implementation ready strategies and tactics

            • +
            • Drive thought leadership in solving strategic issues using data driven approaches to identify root cause

            • +
            • Develop tools and capabilities in support of the 4 work streams of CSC Bold, ensure that they are built in a robust scalable manner, with MEUC compliance, and cross-training to minimize risks.

            • +
            • Partner with Data Science CoE to proactively apply data science and advanced analytics techniques to identify and address business opportunities

            • +

            -

            We are looking for a seasoned and experience leader for the role of Director, Data Engineering. With experience with modern data engineering and cloud data practices, this role will bring strong leadership and influencing skills to lead the development and management of a business led data engineering practice for our CXO and One Sun Data assets. Reporting to the AVP for Data Enablement COE in the CXO, this role will execute on the Canadian Data Strategy pillars for building operational and analytical data products and lead the modernization of our data and analytics platform in our journey to the cloud with relentless focus on generating business value.

            +

            Compliance and knowledge management

            +
              +
            • Implement consistent and comprehensive standards in documentation across data engineering, business intelligence and analytical models

            • +
            • Ensure knowledge are cross pollinated across the team to minimize key personnel knowledge risk

            • +
            • Ensure data and analytical processes adhere to compliance processes and data privacy policies, e.g. MEUC, PIA

            • +

            -

            What will you do?

            +

            Communication and relationship management

              -
            • Proactively drive the vision for Customer focused data products, and define and execute on a plan to achieve that vision.

            • -
            • Drive the definition of the future state data and analytics platform in the AWS Data ecosystem with our partners in DBTS and use it to lead the migration of the legacy data engineering workloads.

            • -
            • Define the processes needed to achieve operational excellence in all areas, including project management and system reliability.

            • -
            • Build cross-functional relationships with Data Analysts, Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.

            • -
            • Drive the design, building, and launching of new data models and data pipelines in production.

            • -
            • Contribute to improving data engineering competency across Sun Life Canada as part of the CDAO mandate.

            • +
            • Strong communicator & relationship builder –connect the dots and identify opportunities to collaborate and leverage analytics to drive outcomes and deliver business value

            • +
            • Business Partner –strong business acumen, understanding & empathy necessary to uncover the art of the possible & pragmatic to build and implement solutions in partnership.

            -
              -

              What do you need to succeed?

              +

              +

              Team management

              +
              • Drive high performing team culture by promoting career development, being results oriented, building trust through strong team collaboration to tackle complex problems, align on common goals, and increase knowledge sharing.

              +

              +

              What will you need to succeed?

              +

              +

              Knowledge/Skills/Experience/Competencies:

                -
              • Strong communication and leadership experience, with a must-have driver mentality to get things done.

              • -
              • 10+ years of experience in engineering data products for operational and/or analytical needs.

              • -
              • Experience leading large scale migrations for data and data workloads from legacy to modern cloud based data platforms

              • -
              • Experience with designing and architecting data engineering pipelines with AWS Data technologies

              • -
              • Data architecture experience with focus on data domains and data platforms

              • -
              • Development experience in at least one object-oriented language (Python, Java, etc.) and experience in SQL or similar languages.

              • -
              • Experience scaling and managing 10+ person teams.

              • +
              • BSc/M.S. in a statistical, mathematical, or technical field (i.e., computer science) or equivalent experience

              • +
              • 7 + years experience with Big Data, common data structures, data visualization techniques, business intelligence techniques & statistical analysis tools

              • +
              • 7+ years experience of what the applications of analytics are (descriptive, diagnostic, predictive, prescriptive) to effectively identify how they can help resolve business problems or support opportunities

              • +
              • 5 years experience in leading and managing high performing teams

              • +
              • Experience leading Data Analytics transformation; coaching teams and business through the transformation

              • +
              • Minimum of 2 years experience delivering Data Products in Agile

              • +
              • Experience using strategic frameworks to develop business strategy

              • +
              • Strong interpersonal skills and the ability to influence peers to achieve a desired result

              • +
              • Familiar with one or more statistical programming languages (i.e., Python/R/SAS)

              • +
              • Strong analytic and diagnostic skills and Problem solving mindset

              • +
              • Experience with data visualization techniques

              • +
              • Proven track record around defining & implementing strategy

              • +
              • Superior organizational skills, including process management to support workflow improvements

              • +
              • Organization agility and systems thinking

              -

              What will be nice to have?

              +

              What will be nice to have?

                -
              • Experience with Customer Experience (Digital and Marketing) data.

              • -
              • Experience with data modeling for analytical use cases

              • -
              • Experience with large volume data sets, Hive/Presto, and data visualization tools.

              • -
              • Project management experience, with experience initiating and driving projects.

              • -
              • Attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks. To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

              • +
              • Management consulting experience is an asset

              • +
              • Group Retirement, CSC, Enterprise Services, Client Experience Office and relevant industry experience desired

              • +
              • Bilingualism is an asset

              -

              What\'s In It For You?

              +

              What’s in it for you?

                -
              • Competitive salary and bonus structure influenced by market range data

              • -
              • 20 days vacation per year and an innovative sabbatical program

              • Great Place to Work® Certified in Canada and the US - 2022

              • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

              • Named “Best Places to Work” by Glassdoor - 2021

              • Canada Award for Excellence for Mental Health at Work - 2021

              • -
              • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid #LI-Remote

              • +
              • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid #LI-Remote

              • +
              • Competitive salary and bonus structure influenced by market range data

              • +
              • 20 days vacation per year and an innovative sabbatical program

              • A friendly, collaborative and inclusive culture

              • Being part of our Analytics community, where we share best practices and broaden skill-sets

              • Flexible Benefits from the day you join to meet the needs of you and your family

              • @@ -56765,271 +63633,630 @@ a20d9d68-8f62-44df-8886-a756c6bd89e0,219397503,Sun Life Financial,"Director, Dat

                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                -

                Salary Range:

                111,100/111 100 - 177,800/177 800

                +

                Salary Range:

                105,000/105 000 - 165,900/165 900

                Job Category:

                Advanced Analytics

                -

                Posting End Date:

                07/05/2023
              ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Director--Data-Engineering_JR00079376-3?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-05-08T20:24:00.000Z,False,0,0,12,https://talenthub.vectorinstitute.ai/jobs/219397503-director-data-engineering-at-sun-life-financial,,expired,2023-04-27T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,No Degree,New Posting, -f4646ed8-f7a5-4921-8719-5ab53445d7b9,222298120,Sun Life Financial,Senior Data Engineer,on_site,"Ontario, Canada",2023-05-04T17:41:03.155Z,"
              -

              You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

              +

              Posting End Date:

              27/11/2022
              ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Director--Data-and-Analytics-Transformation_JR00069309?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-11-28T14:56:00.000Z,False,0,1,14,https://talenthub.vectorinstitute.ai/jobs/167456248-director-data-and-analytics-transformation-at-sun-life-financial,,expired,2022-11-15T17:40:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, +a603e2ec-3932-4314-adf5-c6aaaaa9181e,167799729,Scotiabank,Senior Data Engineer - CID&A,on_site,Canada : Ontario : Toronto,2022-11-16T17:22:01.835Z,"

              +

              +

              +

              +

              Requisition ID: 164067

              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

              +

              +

              Purpose:

              +

              +

              The CIDA team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is produced, consumed, and managed at an enterprise level to drive business value. The aim is to provide a truly productized offering of automated systems that enable the production and management of re-usable data across different business lines and geographies that Scotiabank operates in. We are looking to build our delivery team with influencers, makers, creators and industry leaders who will drive us forward.

              +


              The role of the Senior Data Engineer operates within the Product Engineering & Delivery team. This valuable member of the team will participate in creating scalable automated systems for re-usable data assets, pipelines and services for the broad enterprise use.
              We are looking for someone who will work with other data engineers, DevOps engineers, and other development/engineering teams in the bank to develop the technical solutions for enterprise data initiatives.

              +


              Key Accountabilities:

              +


              • Design and implement services and components to enable enterprise-wide use of data
              • Automate and re-factor services code.
              • Research, create and evaluate technical solution alternatives for the business needs.
              • Work closely with software/data engineers and DevOps engineers to build data management capabilities that drive real business outcomes
              • Participate in planning and retrospective sessions, attend stand-ups, etc.

              +


              Functional Competencies:

              +


              • Bachelor’s degree in Computer Science, Software Engineering, Mathematics
              • 5+ years’ experience in building enterprise software and solid grasp of Object-Oriented principles
              • 5+ years’ experience with object-oriented programming languages (e.g. Scala, Python, Java)
              • 3+ years’ experience working with big data technologies (e.g. Spark, Hive)
              • Understanding of data management disciplines such as data quality, data profiling, etc.
              • Knowledge and understanding of Google Cloud and its data management capabilities a plus
              • 3+ years’ experience working with relational databases (e.g. MySQL, PostgreSQL)
              • Understanding of CI/CD (e.g. Jenkins, Git, Bitbucket, other)
              • Knowledge and understanding of container and micro-services technologies (e.g. Docker, Kubernetes) a plus
              • Experience in software engineering best practices such as code reviews, testing frameworks, maintainability, and readability
              • Proven strong analytical design, troubleshooting and problem-solving skills
              • Experience with performance tuning data pipelines
              • Strong communication skills, both written and spoken
              • Team player, self-starter, fast learner, relentlessly focused on impact, and able to operate under a great deal of independence
              • Writing and maintaining clear documentation
              • Previous experience working in a technology company or financial institution a plus

              +

              +

              Location(s): Canada : Ontario : Toronto

              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

              ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Engineer-CID&A-ON-M5C2V9/563949617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-12-01T14:59:00.000Z,False,0,1,23,https://talenthub.vectorinstitute.ai/jobs/167799729-senior-data-engineer-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Engineer-CID&A-ON-M5C2V9/563949617/,expired,2022-11-16T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +1b4d7674-e627-42d9-9ca8-dce6dc5f1c75,170605477,Scotiabank,Data Analyst,temporary,Canada : Ontario : Toronto || Canada : Nova Scotia : Halifax || Canada : Ontario : Ottawa || Canada : Ontario : Scarborough,2022-11-24T17:22:03.025Z,"

              +

              +

              +

              +

              Requisition ID: 167159

              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

              +

              +

              The purpose of this role is to support the Director of Analytics at Scotiabank’s Global Contact Centres in developing advanced analytics (AI / ML) capabilities. The primary focus of the role is to work with the Customer Insights & Analytics Team and the Global Data & Analytics Team in conducting analyses, developing applications for speech/text analytics, and assisting the MIS & Reporting team with designing and evolving departmental reporting platforms and infrastructure.

              +

              +

              What your role will be:

              +
              • Collaborate with the engineering team to develop BI solutions to address operational needs
              • Combine multiple data sources across all contact center platforms and applications to build end-to-end BI products
              • Evaluate metrics / KPIs and support the development of customer insights models
              • Apply analytics tooling, scripts, and methodologies to find actionable insights, build operations models & frameworks, and provide strategic recommendations
              • With the support of the Senior Analytics Engineer, write ETL scripts for analytics solutions using Python, Spark, SQL, and Power BI
              • Produce ad hoc analyses, deep dives, and drill-downs on specific issues, topics, or areas of opportunity (e.g. process improvements)
              • Produce and analyze data visualizations to communicate insights to stakeholders
              • Collaborate with peers to build a culture of curiosity
              • Develop automation scripts for analytics solutions
              • +
              +

              +

              Skills you already have:

              +
              • 1+ years business intelligence, analytics, or data science
              • 1+ years business analysis or direct client relationship role
              • 1+ years reporting, UI design, and BI solutioning
              • 1+ years professional data analysis skills and development skills
              • 1+ years using python for data analysis and analytics (Pandas, Dask, Numpy, etc..)
              • 1+ years using SQL for ETL and data analysis, flexibility on syntax (SQL server, PostgreSQL)
              • Strong collaboration skills with ability to ask questions as needed
              • Effective communication skills with ability to prepare project documentation and presentation for both technical and non-technical audiences
              • Good problem-solving skills, and able to navigate an uncertain environment
              • Hands-on experience with Big Data ecosystem tools (e.g. Hadoop, Hive, Spark, BigQuery) and object storage (e.g. blob, MinIO) an asset
              • Experience with cloud environment (Azure, AWS, GCP) an asset
              • Contact center experience an asset
              • Experience with telephony data (Avaya, Genesys) and WFM data (Verint, Aspect) an asset
              • French and / or Spanish fluency an asset
              • +
              +

              +

              Education

              +
              • University degree in science, computer science, math, statistics, finance, economics, or another quantitative field, or equivalent experience
              • +
              +

              +

              Working Conditions

              +
              • Hybrid (in-person/work from home); non-standard hours are a common occurrence.
              • +
              +

              +

              #IN-GO

              +

              +

              Location(s): Canada : Ontario : Toronto || Canada : Nova Scotia : Halifax || Canada : Ontario : Ottawa || Canada : Ontario : Scarborough

              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

              ",,https://jobs.scotiabank.com/job/Toronto-Data-Analyst-ON-M5C2W1/565385117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-12-01T14:56:00.000Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/170605477-data-analyst-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Analyst-ON-M5C2W1/565385117/,expired,2022-11-24T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, +e10816db-d7d2-472d-8362-0218627f5079,169472540,TD Bank Group,Data Scientist II,on_site,"Toronto, ON",2022-11-21T17:24:06.646Z,"
              +

              Company Overview

              +
              +

              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

              +

              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

              +

              +

              Department Overview

              +
              +

              What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

              +

              As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

              +

              TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

              +

              -

              Job Description:

              +

              Job Description

              +
              +

              +

              About this Role

              +

              While you are a natural leader, you don’t mind getting your hands dirty. And in your role, you will simultaneously work to create data related solutions to drive business results, while working with senior leadership to communicate timelines and progress and identify business opportunities. You are not only a functional expert, you also possess broad managerial experience and specialized knowledge of regulatory and industry frameworks, using that knowledge to inform development cycles and develop industry leading analytic solutions. Most of all, your work ethic and thought leadership inspires your team to innovate with purpose, execute with speed, collaborate to deliver world-class data solutions and ultimately become leaders themselves.

              +

              We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work enterprise wide.

              +

              As a Data Scientist II, these are the essential qualifications of this role:

              +
                +
              • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core work you’re doing
              • +
              • Work closely with business owners to find opportunities and serve as an ambassador for data science
              • +
              • Design and deliver enterprise analytic solutions for customers
              • +
              • Develop powerful business insights from social, marketing and industrial data using advanced machine learning techniques
              • +
              • Build complex statistical models that learn from and scale to petabytes of data.
              • +
              • Analytical thought leadership and staying ahead of developments in data mining and the application of data science
              • +
              • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
              • +
              • Generally accountable for a significant business management area that typically has enterprise wide impact or accountability
              • +
              • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
              • +
              +

              -

              Role Summary

              +

              Requirements

              +
              + What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

              +
                +
              • Undergraduate degree or technical certificate
              • +
              • Seven (7) or more years of relevant experience
              • +
              +

              -

              Leveraging DE principles and values, the Finance Accelerator’s purpose is to modernize Finance through process redesign and automation, establishing best practices, developing common tool platforms on an enterprise scale, and applying data and analytics to inform, influence and tackle business problems.

              +

              Additional Information

              +
              +#LI-Hybrid #datascientist

              -

              As a Senior Data Engineer, you will be responsible to assemble various streams of data and turning it into organized data products that fuel into analytical tools. Working with a diverse team of product owners, delivery teams and business partners professionals, the Senior Data Engineer will lead the entire lifecycle of data – from ETL to mining insights from the data, to making data accessible to build analytics services and self-service solutions to our stakeholders

              +

              Hours

              +
              37.5

              -

              Given this mandate, this role requires an experienced data engineer (5+ years) with deep experience in building data ETL process, governing data products, and a solid understanding of data needs of data analysts. The candidate must have experience in:

              +

              Inclusiveness

              +

              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

              -

              Data Management – Design, development, integration

              -

              Data Discovery – scoping new data sources, understanding and leveraging data sources

              -

              Data Governance – Manage data catalogue, interpret metadata

              -

              Communication and liaison between business, data analysts and IT

              +
              ",,https://jobs.td.com/en-CA/jobs/17079264/data-scientist-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-12-01T14:59:00.000Z,False,0,2,13,https://talenthub.vectorinstitute.ai/jobs/169472540-data-scientist-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17079264/data-scientist-ii-toronto-ca/,expired,2022-11-21T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +f9863617-6a0f-43bb-836a-d6ca3bdb0904,171556239,RBC,"Manager, Insights & Analytics",on_site,"Toronto, ON, Canada",2022-11-28T17:16:04.120Z,"
              +

              Come Work with Us!

              At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

              Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

              +

              Job Title

              Manager, Insights & Analytics

              -

              This role will report to the Director, Data Analytics & Insights

              +

              Job Description

              +

              What is the opportunity?

              +

              As the Manager, Insights & Analytics, you will be responsible for developing tests that provides visibility into the effectiveness of key controls across all LOBs within P&CB. You will also work on streamlining our processes and finding analytical & reporting solutions to enable effective communication of business and operational risk insights.

              -

              What will you do?

              +

              Please Note: This role is a hybrid opportunity, for applicants within commuting distance to Toronto Downtown offices.

              +

              +

              What will you do?

                -
              • Design, development and implementation of end-to-end complex ETL solutions from data modelling phase to automated workflows system using Informatica Powercenter

              • -
              • Convert complex business and technical rules into logic for data flows that are implemented in ETL processes

              • -
              • Ensure automated processes and internal data repository preserves data integrity and high data quality by managing alignment of source data platform.

              • -
              • Implement and maintain clear data governance, data structures, naming conventions and other guiding principles to increase consistency in data across Business Groups

              • -
              • Work with team members to create useful reports and dashboards that provide insight, improve/automate processes, or otherwise add value to the team.

              • -
              • Implement technical solutions that are scalable, aligned with the enterprise architecture and can adapt to changes in business

              • -
              • Develop and manage effective working relationships with other departments, groups or personnel with whom work must be coordinated.

              • +
              • Analyze data to derive meaningful and actionable insights that enhance monitoring of key risks.
              • +
              • Produce reports and analysis to enable effective risk management across all LOBs within P&CB.
              • +
              • Present risk insights to Operational Risk Directors and senior leaders within Business Risk Monitoring & Solutions (BRMS).
              • +
              • Ensure a framework and governance structure is in place, to maintain key findings, reporting and access to data of file reviews for regulators
              • +
              • Partner with teammates to design meaningful risk-monitoring measures for decision making.
              • +
              • Provide streamlining solutions for end-to-end operational risk reporting and key control test development.
              • +
              • Develop complex Enterprise Data Warehouse (EDW) queries to test key risk controls against a business requirements.
              • +
              • Coordinate quality assurance and back testing to determine if the rules are working properly
              • +
              • Support verifying data consistency between final reports, source systems, and data input; and assist with researching and enhancing automation methodologies
              • +
              • Be a member of the data accuracy committee, where issues are identified, recommendations are discussed, challenged and implemented

              -

              What do you need to succeed?

              +

              What do you need to succeed?

              +

              Must-have

                -
              • 5+ Years of hands-on experience in ETL using tools such as Informatica PowerCenter, and Power Designer for Data modelling

              • -
              • Minimum of 1 year of experience with Data visualization tool, developing and designing dashboards, preferably Tableau

              • -
              • 4+ years experience or deep knowledge of SQL Server that includes a thorough understanding of SQL internals, system tables, stored procedures, functions, triggers, and SQL tuning

              • -
              • BSc/M.S. in a statistical, mathematical, or technical field (ie Engineering, computer science) or equivalent experience

              • -
              • Proven ability to lead and drive projects and assignments to completion

              • -
              • Experience embedding continuous improvement processes within the team to augment the speed and quality of analysis delivery

              • -
              • Ability to work in a global multi-site environment and working in a matrix environment, onshore/offshore IT mode

              • -
              • Strong communication skills and attention to detail and accuracy

              • +
              • 2+ years experience in reporting or analytics and a Degree in a quantitative field
              • +
              • Strong expertise in data querying tools and advance skills in SAS and SQL
              • +
              • Experienced in using Teradata to query EDW
              • +
              • Knowledge of data related to Retail and/or Commercial banking products
              • +
              • Proficiency in MS Excel (including Pivot Tables and data importing)
              • +
              • Strong presentation skills with the ability to communicate clearly and simplify complex concepts.
              • +
              • Solid communication skills, and ability to effectively converse with technical and non-technical contacts
              • +
              • Proven analytical and problem solving experience, with a collaborative attitude

              -

              Unique Requirements

              +

              Nice-to-have

                -
              • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

              • -
              • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

              • +
              • Experience using DataMeer for ETL jobs
              • +
              • Experience building Tableau reports
              • +
              • Experience using Python for data analytics and/or automation

              -

              What will be nice to have?

              +

              What’s in it for you?

              +

              We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                -
              • Experience with production implementation change management processes

              • -
              • Experience with project management and software development life cycle/SDLC; Agile and Lean

              • -
              • Excellent documentation skills including technical writing, Visio, PowerPoint, flowcharting

              • -
              • Experience/Knowledge in Service Request tool such JIRA & Service Now

              • +
              • Competitive Compensation
              • +
              • A professional and supportive team environment
              • +
              • A comprehensive training program on internal processes and systems
              • +
              • Career progression if you have what it takes to be the best

              -

              What\'s In It For You?

              +

              RBC is committed to supporting flexible work arrangements when and where available. Details to be discussed with Hiring Manager.

              +

              +

              +

              Job Summary

              +

              Address:

              TORONTO, Ontario, Canada

              City:

              CAN-ON-TORONTO

              Country:

              Canada

              Work hours/week:

              37.5

              Employment Type:

              Full time

              Platform:

              Personal and Commercial Banking

              Job Type:

              Regular

              Pay Type:

              Salaried

              Posted Date:

              2022-11-25-08:00

              Application Deadline:

              2022-12-10-08:00
              +

              Inclusion and Equal Opportunity Employment

              +

              At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
              ​​​​​​​
              We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

              +
              +

              Join our Talent Community

              Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

              Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

              +
              ",,https://jobs.rbc.com/ca/en/job/R-0000038982/Manager-Insights-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2022-12-12T17:21:01.776Z,False,0,2,19,https://talenthub.vectorinstitute.ai/jobs/171556239-manager-insights-analytics-at-rbc,,expired,2022-11-28T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +27017b35-4881-4716-a3ff-df5780936e48,172476098,CIBC,Senior Data Scientist with Machine Learning,full,"Ontario, Canada",2022-12-01T17:06:03.989Z,"
              +

              We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

              +

              +

              At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

              +

              +

              To learn more about CIBC, please visit CIBC.com

              +

              +

              Job Description

              +

              +

              What You’ll Be Doing

              +

              +

              As a Senior Data Scientist with the Contact Centre team, you’ll apply your knowledge and experience of data modelling to solve complicated business problems and bring innovative solutions. You’ll connect and develop strong relationships with partners and analysts within Contact Centre support functions, including the Centre of Expertise and broader Enterprise groups such as, but not limited to, Finance, Chief Analytics Office, Marketing, Client Experience teams. You’ll work with real world structured and unstructured datasets to produce end-to-end solutions, taking models from experiment to deployment. As a Senior team member, you’ll share your expertise with team members to influence and grow capabilities to deliver impactful business outcomes, using judgement for decisions that may have a future yet unknown impact

              +

              +

              You can effectively perform all work activities remotely, and will only be required to be on-site on an occasional basis.

              +

              +

              +

              How You’ll Succeed

              +

              Data Science Expertise: Under the guidance of Sr. Data Scientist or Director, conduct detailed analysis of data and provide advanced analytics solutions to solve business problem leveraging traditional statistical, machine learning and optimization techniques. Conduct guided research, typically on the non-traditional resources to solve business problems. Business Consulting: Participate in business requirements gathering and problem assessment. Gather relevant information related to business processes, functions and operations to evaluate data credibility and quality. Utilize creative thinking to select the most suitable procedure/approach that provides the optimum solutions to business problems. Conduct in-depth analysis for the purpose of identifying revenue generation and cost saving opportunities under the guidance of Sr. Data Scientist or Director. Market Relevancy: Participate in an analytics community whose goal is to foster and share analytic approaches across the enterprise. Liaise with internal and external sources, colleagues, and others to obtain, provide, verify and discuss information and best practices. Passionate innovators, creators and collaborators who are up for the challenge of building the bank of the future and delivering solutions that meet our clients’ changing needs

              +

              +

              Who You Are

                -
              • Competitive salary and bonus structure influenced by market range data

              • -
              • 20 days vacation per year and an innovative sabbatical program

              • -
              • Great Place to Work® Certified in Canada and the US - 2022

              • -
              • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

              • -
              • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid #LI-Remote

              • -
              • A friendly, collaborative and inclusive culture

              • -
              • Flexible Benefits from the day you join to meet the needs of you and your family

              • -
              • Pension, stock and savings programs to help build and enhance your future financial security

              • -
              • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

              • +
              • +You can demonstrate experience in working with large datasets including both structured and unstructured data and related tools (e.g., SQL, Databricks, Alteryx). Must have experience coding in high level programming languages such as Python or R. Must have experience developing machine Learning Models. Familiarity or experience working with contact centre data is a significant asset
              • +
              • +You’re a certified professional. You have current accreditation and good standing in in Master or PhD in Computer Science, Engineering, Mathematics, Statistics, Operational Research, Physics, Economics or related quantitative field.
              • +
              • +You\'re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends. You are experienced in manipulate and connecting data from multiple tables while maintaining data integrity
              • +
              • +You act like an owner. You thrive when you\'re empowered to take initiative, go above and beyond, and deliver results.Your influence makes a difference. You know that relationships and networks are essential to success. You inspire outcomes by sharing your expertise +
              • +
              • +You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.
              • +
              • +You love to learn. You\'re passionate about growing your knowledge. You have a strong sense of curiosity and are motivated to maintain current knowledge of rapidly evolving business environment from both leadership and technical perspectives.
              • +
              • +You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way. You can promote and explain new and innovative projects and technical/analytical/conceptual ideas in a way that can be easily understood by Executive / non-technical audiences.
              • +
              • +You are a caring and accountable leader. You’re passionate about developing and growing team members abilities. You have experience providing coaching and hands on support to meet team goals.
              • +
              • +Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability
              • +
              +

              What CIBC offers

              +
                +
              • At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

              • +
              • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.
              • +
              • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
              • +
              • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

              -

              The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

              -

              Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

              +

              What you need to know

              +
                +
              • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

              • +
              • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

              • +

              -

              Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

              -

              At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

              -

              We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

              -

              Salary Range:

              74,100/74 100 - 120,800/120 800

              -

              Job Category:

              Advanced Analytics

              -

              Posting End Date:

              07/05/2023
              ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Engineer_JR00076767?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-05-08T20:38:00.000Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/222298120-senior-data-engineer-at-sun-life-financial,,expired,2023-05-04T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -f1148e1b-1722-49c1-8c8e-9197885b7f38,221076251,Scotiabank,Data Engineer - CID&A,on_site,Canada : Ontario : Toronto,2023-05-01T17:22:05.285Z,"

              +

              +

              Job Location

              Ontario VIRTUAL

              Employment Type

              Regular

              +

              Weekly Hours

              37.5

              Skills

              +

              Alteryx, Call Center, Databricks, Data Science, Python, Relationship Building, Structured Query Language (SQL)
              ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Ontario-VIRTUAL/Senior-Data-Scientist-with-Machine-Learning_2242226?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-12-12T17:11:04.820Z,False,0,5,19,https://talenthub.vectorinstitute.ai/jobs/172476098-senior-data-scientist-with-machine-learning-at-cibc,,expired,2022-12-01T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +a21c7bfa-854b-40e3-9df0-bcbcbbfefe71,164336447,Scotiabank,"Sr Manager, Collections Data Engineer (12 month Contract)",on_site,Canada : Ontario : Toronto,2022-11-08T17:22:02.645Z,"

              -

              Requisition ID: 177131

              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

              +

              Requisition ID: 162068

              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

              -

              Purpose:

              +

              Purpose of Job:

              -

              The Customer Insights, Data, and Analytics organization at Scotiabank is focused on building high-value solutions across the bank. Our organization consists of accomplished professionals who blend expertise in computer science, data, machine learning, and banking to deliver innovative projects that drive the business. A key part of success for the group is having scalable, fast, and continuously evolving data processes, and this is the responsibility of the Data Office Data Engineering team. As an integral part of the team, the Data Engineer will be responsible for all technical aspects of the data pipelines that power advanced and descriptive analytics work. We have a dynamic work environment that will provide you with exposure to leaders in data & analytics, the opportunity to continuously learn, and support to be innovative.

              +

              GRM Retail Credit Risk Collections is leader in developing innovative solutions impacting Bank’s profitability. This is accomplished through the use of advanced analytics, collections efficiency and disciplined risk governance.

              -

              Accountabilities:

              +

              You, as a Senior Manager Collections Data Engineer, are a problem solver with a track record on programming and data management. You have strong collaboration and communication skills and great ability to manage multiple priorities in a very fast paced-entrepreneurial environment. You contribute to the success of the Collections function by defining, implementing and automating complex data processes. You are a rigorous logical thinker, curious, flexible and have great teamwork abilities. Your background and experience is on computer science, with experience in programing languages and automation.

              -
              • Work with business teams across the organization (Canadian Banking, Intl. Banking, Treasury, GBM) to understand their data-driven goals
              • Partner with advanced analytics teams to build powerful data assets and processes
              • Be the subject matter expert on data driven processes, visualization workflows, and tools with which to analyze data
              • Build automated data management and data quality capabilities into projects
              • Build re-usable components to scale development across the organization, collaborating with other technical teams to streamline high-value data to the Analytics platforms
              • Build re-usable managed datasets for consumption by both revenue generating analytics and operational corporate functions (e.g. finance, risk, etc.)
              • Experiment & learn!
              • +

                Job Responsibilities:

                +

                +
                • Leverage your strong programming background in order to collaborate with various business partners to:
                • Lead initiatives involving automation of data routines involving multiple legacy systems and requiring previous experience using big data tools and programing languages
                • Generate efficiencies in current analytical performance reports and existing data processes
                • Manage processes related to gathering and processing of structured and unstructured data into a form suitable for analysis (for instance writing scripts, web scraping, calling APIs, write SQL/Hive queries,etc.)
                • Deliver on descriptive analytical projects leveraging Power BI or Tableau
                -


                Requirements & Qualifications:

                -
                • Bachelor’s degree in Computer Science or Engineering, or related field or relevant experience
                • Experience with visualization tools: Power BI
                • Strong data analysis skills
                • Strong programming skills in Python, Scala, and /or Java. Experience with Spark is preferred
                • Experience working in the cloud environment is an asset
                • Experience in finance is an asset
                • Comfortable working in database environments. Experience with PostgreSQL, HDFS/Hive, BigQuery an asset
                • Exposure to Kubernetes, Airflow, Jenkins is an asset
                • Familiarity with agile tooling to efficiently build as a team: git, Jira, Confluence, etc.
                • Familiarity with data management capabilities (data registration, data quality, etc.) and ability to learn advanced data management toolsets
                • High aptitude for diving in and picking up new technologies as required
                • Eligible to work in Canada
                • +

                  Job Requirements:

                  +

                  +
                  • Master's degree in Industrial Engineer or Computer Science and background in quantitative analysis
                  • Excellent communication and presentation skills: can convey messages in a clear, concise and succinct manner, select the best method of communication to influence business decisions
                  • Expertise managing data through Big Data tools, and exposure to AI/ Machine Learning
                  • Strong background and proven experience in automation and scripting
                  • Three to five years’ experience as data engineer in banking or consumer
                  • Exposure to statistical software packages such as R or SAS
                  • Experience manipulating large and complex databases
                  • Experience with Angos or similar platforms strongly desired
                  • Results driven individual with high level of curiosity and ability to dive into details without losing sight of the big picture
                  • Exceptional organization skills to prioritize, manage, and implement a variety of competing initiatives, on a concurrent or staggered basis  

                  +

                  Location(s): Canada : Ontario : Toronto

                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

              ",,https://jobs.scotiabank.com/job/Toronto-Sr-Manager%2C-Collections-Data-Engineer-%2812-month-Contract%29-ON-M5H1B6/562999417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-12-10T18:54:37.882Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/164336447-sr-manager-collections-data-engineer-12-month-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Sr-Manager%2C-Collections-Data-Engineer-%2812-month-Contract%29-ON-M5H1B6/562999417/,expired,2022-11-08T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +9e646580-d51e-4f1b-9236-7435293472d0,164338037,Accenture,Data Science Senior Manager,on_site,"Toronto, ON, Canada",2022-11-08T17:29:01.640Z,"

              Job Description

              +

              We Are
              The people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Visit us to find out more about Accenture Applied Intelligence.

              +

              +

              You Are
              An expert at solving real-world challenges with data, analytics, AI and creativity. Yes, creativity! You know the theory and you have hands-on expertise from studies, experience and/or self-taught projects. As a senior manager working at Accenture you will work on a team with diverse clients and industries delivering solutions to help clients turn data into actionable insights that drive tangible outcomes, improve performance and help clients lead the market.

              +

              +

              What You’ll Do
              • Collaborate with prospective clients to solve large & complex business problems with data, analytics & AI
              • Shape narrative for sales origination and educate account teams on data, analytics, AI applicability to their industry/clients
              • Lead multiple teams and engagements to engineer & deliver value for clients
              • Play an active role building a practice including capability development, recruitment, and mentorship
              • Help drive the innovation agenda, including thought leadership publication
              • Stay abreast of technologies, academic research & hands-on techniques for cloud, data, analytics & AI

              ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00129048_en&title=Data+Science+Senior+Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2022-12-10T18:56:35.203Z,False,0,6,31,https://talenthub.vectorinstitute.ai/jobs/164338037-data-science-senior-manager-at-accenture,,expired,2022-11-08T17:29:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Masters Degree,New Posting, +ae20de27-27f1-4e0c-ba7b-70f5b5e9b419,181831455,TD Bank Group,Data Scientist II,on_site,"Toronto, ON",2022-12-29T17:24:02.513Z,"
              +

              Company Overview

              +
              +

              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

              +

              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

              +
              +

              +

              Department Overview

              +
              +

              What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

              +

              As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

              +

              TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

              +
              +

              +

              Job Description

              +
              +

              +

              About this Role

              +

              While you are a natural leader, you don’t mind getting your hands dirty. And in your role, you will simultaneously work to create data related solutions to drive business results, while working with senior leadership to communicate timelines and progress and identify business opportunities. You are not only a functional expert, you also possess broad managerial experience and specialized knowledge of regulatory and industry frameworks, using that knowledge to inform development cycles and develop industry leading analytic solutions. Most of all, your work ethic and thought leadership inspires your team to innovate with purpose, execute with speed, collaborate to deliver world-class data solutions and ultimately become leaders themselves.

              +

              We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work enterprise wide.

              +

              As a Data Scientist II, these are the essential qualifications of this role:

              +
                +
              • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core work you’re doing
              • +
              • Work closely with business owners to find opportunities and serve as an ambassador for data science
              • +
              • Design and deliver enterprise analytic solutions for customers
              • +
              • Develop powerful business insights from social, marketing and industrial data using advanced machine learning techniques
              • +
              • Build complex statistical models that learn from and scale to petabytes of data.
              • +
              • Analytical thought leadership and staying ahead of developments in data mining and the application of data science
              • +
              • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
              • +
              • Generally accountable for a significant business management area that typically has enterprise wide impact or accountability
              • +
              • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
              • +
              +
              +

              +

              Requirements

              +
              +What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

              +
              +Must have:

              +
                +
              • Undergraduate degree or technical certificate
              • +
              • Two or more years of relevant experience
              • +
              • High proficiency in Python, PySpark and its essential libraries.
              • +
              • Experience with relational databases and usage of SQL​​​​​​​
              • +
              • +Communication, business acumen, people management and stakeholder management competencies​​​​​​​
              • +
              +

              Nice to have:

              +
                +
              • Familiarity with cloud solution architecture, Azure a plus
              • +
              • Alteryx or Tableau
              • +
              +
              +
              +

              +

              Additional Information

              +
              +#LI-Hybrid #datascientist
              +

              +

              Hours

              +
              37.5
              +

              +

              Inclusiveness

              +

              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

              +

              +
              ",,https://jobs.td.com/en-CA/jobs/17156216/data-scientist-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-24T17:29:03.629Z,False,0,18,57,https://talenthub.vectorinstitute.ai/jobs/181831455-data-scientist-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17156216/data-scientist-ii-toronto-ca/,expired,2022-12-29T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +115da144-d293-4921-9b4b-c498a91c7abb,188133661,Scotiabank,Velocity - Finance Internship/Co-op - Summer 2023 (8 months),on_site,Canada : Ontario : Toronto,2023-01-18T17:22:05.314Z,"

              +

              -

              Location(s): Canada : Ontario : Toronto

              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

              ",,https://jobs.scotiabank.com/job/Toronto-Data-Engineer-CID&A-ON-M5H1H1/569869917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-08T20:36:00.000Z,False,0,9,24,https://talenthub.vectorinstitute.ai/jobs/221076251-data-engineer-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Engineer-CID&A-ON-M5H1H1/569869917/,expired,2023-05-01T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -79d47a1e-e277-479f-b504-248a79cf0af9,213973190,TD Bank Group,Senior Business Analyst Workday/Peoplesoft ( Data Integration),on_site,"Toronto, ON",2023-04-10T17:24:02.278Z,"
              +

              +

              Requisition ID: 169647

              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

              +

              +

              Term: May-December 2023

              +

              Application Deadline: 01/23/2023

              +

              +

              There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

              +

              +

              The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

              +

              +

              Is this role right for you? In this role, you will:

              +
              • Update/validate formulas in planning and reporting.
              • Populate reporting templates with actual results and ensure completeness.
              • Data analysis projects related to various business initiatives.
              • Assist in the preparation of summary information packages to communicate to leadership.
              • Work on the ongoing tracking/reporting of financial metrics.
              • +
              +

              +

              Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

              +
              • You are currently enrolled in post-secondary education.
              • You love to learn and envision yourself working for an international organization that heavily invests in your future.
              • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions.
              • You are a highly self-motivated individual with strong time-management skills.
              • You have an analytical mindset and investigative abilities.
              • You have strong written and verbal communication skills.
              • You are proficient in Microsoft Office – particularly Excel, Word, and PowerPoint.
              • You understand PowerBI, SAS, SQL or Tableau.
              • +
              +

              +

              What’s in it for you?

              +
              • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
              • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
              • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
              • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
              • +
              +

              +

              How do I apply?

              +

              For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationshipsover resumes and are focused on learning about who you are and what youre interested in to uncover your true potential.Instead,we ask that as part of your application you complete the below:

              +

              +
              1. Complete your PLUM Profile here and save as a screenshot.
              2. +
              +
              1. Complete a short one-way video interview here.
              2. +
              +
              1. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
              2. +
              +

              +

              *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

              +

              +

              +

              Location(s): Canada : Ontario : Toronto

              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

              ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Finance-InternshipCo-op-Summer-2023-%288-months%29-ON/566048717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-24T17:27:03.649Z,False,0,3,10,https://talenthub.vectorinstitute.ai/jobs/188133661-velocity-finance-internship-co-op-summer-2023-8-months-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Finance-InternshipCo-op-Summer-2023-%288-months%29-ON/566048717/,expired,2023-01-18T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +acf54dc8-a822-4ced-9d33-62dd02e6a079,183865792,TD Bank Group,Data & Analytics: Events and Communications Intern/Co-op,on_site,"Toronto, ON",2023-01-05T17:24:05.066Z,"

              Company Overview

              -

              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

              -

              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

              +

              All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

              +

              Why TD?

              +

              TD’s Colleague Promise: A better you. A better us.

              +

              A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

              Department Overview

              -

              Business Information Management (BIM) at TD is part of a creative, enterprise-wide data and analytics ecosystem. Roles in BIM are highly professional and valued, specialized yet inter-connected and focused on making the availability of business information to designers, developers and decision-makers a priority, all with a united purpose to serve customers and continually build a better bank.

              -

              We’re looking for analytical and agile professionals who can merge and translate data into technology and business information, serving today’s business needs and setting in motion TD’s longer-term goals and strategic objectives. If you get data, its power and potential, we think you’ll love working at TD, where data knows no bounds and where your professional expertise will help to drive the business forward and take your own career to new heights.

              +

              Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

              +

              Our Co-op/Intern Programming is offered with select Co-op and Internship roles, and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

              +
                +
              • Leadership talks with key Leaders from across the organization
              • +
              • Lunch and Learns on topics such as Innovation
              • +
              • Diversity and Inclusion and Personal Branding and so much more
              • +

              Job Description

              -

              Are you an expert level business information analyst, equipped with both conceptual and practical expertise in business information management? If so, this role offers a hands-on and high-career growth opportunity to provide business technical leadership across a broad range of information management functions to support various areas of data and analytics.
              Enjoy partnering with colleagues and directing data traffic? In this advanced professional role, you’ll work both independently and within teams as a senior data analyst. Colleagues and business partners will look to you to manage and direct activities related to impact analysis, design and support of business data management solutions, including larger projects.
              As a Senior Business Information Management Analyst, you will:

              +

              JOB DESCRIPTION

              +

              We are looking for Events & Communications Co-op/Intern that will be accountable for supporting communications and planning initiatives for Enterprise Data & Analytics. The analytics and data science teams across the bank are responsible for transforming TD into a data-driven organization. We are looking for someone who will be an ambitious and dedicated contributor to our teams. Not only is this an opportunity for promising career growth, but meaningful work awaits both on business and technology fronts.

              +

              The Events & Communications Co-op/Intern will perform a variety of activities, which may include:

                -
              • Be the expert-level team analyst, considered an authority with in-depth knowledge and experience in data analysis and data migration as well as working knowledge of broader related areas in HR or Financial systems
              • -
              • Participate in Workday implementation activities including discovery, design, configuration, documentation, testing, and project review sessions related to data conversion activities
              • -
              • Facilitate data discovery workshops, downstream impact analyses and proactively manage stakeholder expectations
              • -
              • Lead projects of moderate to complex risk and data requirements; may lead end-to-end data conversion activities
              • -
              • Analyze and understand business and data requirements to develop complete business solutions (e.g. analysis of data models, entity relationship diagrams, data lifecycle management, governance, lineage, metadata and reporting elements)
              • -
              • Develop business requirements; design and implement complex business data information management frameworks
              • -
              • Apply automation and innovation on data platforms and on new development projects / initiatives
              • -
              • Conduct a range of data analyses, demonstrating your in-depth experience with very large datasets and big data technologies; assessing business information-related data requirements aligned to business needs and for specific data platforms, applications systems and servers
              • -
              • Partner and collaborate with business and technology partners to resolve data / application issues and ensure requirements delivery
              • -
              • Participate fully as a member of the project delivery team, support a positive work environment that promotes service to the business, quality and innovation and, ensure timely communication of issues/points of interest -
              • +
              • Assisting with executing communication plans, tactics, and ongoing activities.
              • +
              • Collaboration on the engagement strategy execution – including support on coordination, promotion, registration, tracking, and other communication or logistical support of events for the D&A community (i.e. spotlights, workshops, summits, info sessions, etc.)
              • +
              • Key support on the monthly D&A Community newsletter, including editorial planning, content generation, layout, and distribution support
              • +
              • Supporting communications and event planning for the ED&A team, including town halls, key milestone events, reward & recognition programs and events, employee engagement initiatives, and ad-hoc meetings.
              • +
              • Providing creative design and writing support for communications pieces such as newsletters, PowerPoint decks, branded emails, online articles, etc.
              • +
              • Tracking communications projects and metrics.
              • +
              • Addressing ad-hoc requests and process improvement opportunities.

              Requirements

              -

              What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

              +JOB REQUIREMENTS

              +

              Assigned Line of Business Requirements

                -
              • Undergraduate degree or technical certificate
              • -
              • Five (5) or more years relevant experience implementing enterprise solutions with at least one full life cycle using Workday
              • -
              • Sound conceptual knowledge in your area of specialty
              • -
              • Fluent in one or two programming languages
              • -
              • Advanced analytical and problem-solving skills
              • -
              • Proficient knowledge of various data sources, tools and technologies used in preparing summaries/reports
              • -
              • In-depth knowledge of competitor and market trends
              • -
              • Proficient to analyze, organize and prioritize work while meeting multiple deadlines
              • -
              • Expertise in using analytical software tools, MS Office, data analysis methods and reporting techniques
              • -
              • Strong ability to work collaboratively and independently, communicate effectively (both speaking and writing), follow instructions/direction, and help building relationships across teams and functions
              • -
              • Act as a brand champion for our business area / function and TD, both internally and externally
              • +
              • Currently enrolled in a recognized post-secondary program, majoring in Communications, Marketing, Public Relations or related with the intent of going back to school at the start of your work term.
              • +
              • Exceptional communication skills.
              • +
              • Excellent writing and editing skills and the ability to develop materials that will make an impact at TD.
              • +
              • Strong attention to detail and ability to deliver high quality work under tight timelines.
              • +
              • Previous events experience.
              • +
              • Strong skills in MS Office, preparing presentations, web publications, internal and external social media.
              • +
              +

              ** Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting.

              +

              The following would be an asset, but not required:

              +
                +
              • Advanced PowerPoint experience: someone who can take a concept and illustrate it on paper.
              • +
              • Experience with graphic design, photo editing and video production.

              Additional Information

              -
                -
              • Experience working with Workday or Peoplesoft
              • -
              • Data Migration and Data Integration
              • -
              +
              +

              ADDITIONAL INFORMATION
              Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.

              +
                +
              • This position is a 4-month work term and will commence May 1st, 2023 – August 25th, 2023
              • +
              • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
              • +
              • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
              • +
              • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
              • +
              • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
              • +
              +

              ADDITIONAL INFORMATION

              +

              ADDITIONAL INFORMATION

              +

              HOURS
              Monday-Friday, standard business hours

              +

              INCLUSIVENESS
              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

              +

              Hours

              37.5

              +

              Start Date

              +
              – Summer
              +

              Inclusiveness

              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

              -
              ",,https://jobs.td.com/en-CA/jobs/15245253/senior-business-analyst-workday-peoplesoft-data-integration-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-10T19:29:56.297Z,False,0,1,21,https://talenthub.vectorinstitute.ai/jobs/213973190-senior-business-analyst-workday-peoplesoft-data-integration-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15245253/senior-business-analyst-workday-peoplesoft-data-integration-toronto-ca/,expired,2023-04-10T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -899b7a6f-f1b9-4972-976b-8fac4d026d48,231447033,BMO Financial Group,"Manager, Modelling & Analytics",on_site,"Ontario, Canada",2023-06-01T15:39:02.767Z,"
              -

              Address:

              100 King Street West

              -

              -

              Job Family Group:

              Data Analytics & Reporting

              -

              -

              -

              -

              Supports the research and development of quantitative risk modeling methodologies and related strategies in support of the management of risks arising from business/group portfolios and products. Applies knowledge of analytics algorithms and technologies to develop forward looking models and analytic solutions that ensure risks are properly identified, understood and risk related strategies are enabled. Summarizes statistical findings, draws business conclusions, and presents actionable business recommendations used in the management of risks and related activities e.g. associated internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations. Drives innovation through the development of data products that can be leveraged across the organization and establishes best practices as well influences data governance guidelines and policies. May specialize in one or more risk categories e.g. Credit Risk, Market Risk, Interest Rate Risk, etc.

              +
              ",,https://jobs.td.com/en-CA/jobs/17554297/data-analytics-events-and-communications-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-27T17:29:07.671Z,False,0,10,44,https://talenthub.vectorinstitute.ai/jobs/183865792-data-analytics-events-and-communications-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17554297/data-analytics-events-and-communications-intern-co-op-toronto-ca/,expired,2023-01-05T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +77a36ec7-0441-4942-916c-deda166a7ea5,183865806,TD Bank Group,Business Insights Analyst Co-op,on_site,"Toronto, ON",2023-01-05T17:24:06.454Z,"
              +

              Company Overview

              +
              +

              All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

              +

              Why TD?

              +

              TD’s Colleague Promise: A better you. A better us.

              +

              A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

              +
              +

              +

              Department Overview

              +
              +

              The Governance & Control team is responsible for managing the overall risk management and governance for TD Wealth. The team is responsible for ensuring timely and consistent implementation – across the Wealth businesses – of all risk, control and governance programs, initiatives, policies and standards.

              +

              The Performance Integrity & Analytics team is responsible for promoting a sustained culture of integrity and ethics by embedding Conduct Risk management in TD Wealth business practices. Our team is responsible for the enabling and enhancing a conduct monitoring program with an end-to-end closed loop process to oversee, remediate and strengthen Conduct Risk and Sales Practices.

              +

              +
              +

              +

              Job Description

              +
              +

              The role reports to the Senior Manager, Performance Integrity & Analytics.

              +

              The Co-Op Business Insights Analyst, Performance Integrity & Analytics is responsible for supporting the broader Performance Integrity team and is responsible for the sales practice and conduct risk monitoring. This role will provide the successful candidate with a unique opportunity to leverage their analytical skills, and participate in high profile Governance & Control initiatives, as well as interact with teams across the organization including Human Resources, Compliance, Legal, and others. We are looking for a self-motivated and innovative individual who excels in a cross-functional and high impact team.

              +

              +

              Primary Responsibilities could include:

              +
                +
              • Participate in investigations into potential performance integrity concerns. Use Wealth and enterprise data sources and systems to analyze data, identify trends, and communicate and report investigation results to help protect TD’s customers, employees, and shareholders. Escalate concerns to the Performance Integrity management team as required

              • +
              • Translate complex scenarios into actionable data selection criteria to investigate potential issues.

              • +
              • Partner with Governance & Control and businesses to propose recommended changes to policies, procedures, and system enhancements to address potential gaps

              • +
              +
                +
              • Contribute to the development of Performance Integrity processes and controls; identify gaps and opportunities to further enhance controls

              • +
              • Provide reporting and recommendations to Wealth Governance & Control executives on Performance Integrity matters, identified gaps and any emerging trends across distribution channels

              • +
              • Partner with other stakeholders across TD Wealth and beyond to ensure a coordinated approach to managing and documenting performance integrity issues

              • +
              • Prepare high-quality presentation materials and reporting

              • +
              • Provide insights on sales conduct and practice issues, and represent the Performance Integrity team on projects and initiatives

              • +
              +
                +
              • Effectively manage ad-hoc projects or tasks of varying complexities within established deadlines

              • +
              • Foster an environment and culture that encourages productivity, innovation, process improvement, teamwork, and a high level of professionalism

              • +
              +
              +

              +

              Requirements

              +
              +

              Qualifications/Skills/Experience:

              +
                +
              • The ideal candidate should have an interest/background in wealth management businesses and their various products, systems, processes, and applications and/or a business analysis/reporting function would be assets

              • +
              • Strong analytically-anchored problem-solving skills, solid background working with data and conducting analysis or planning complex data flows and processes – a logical and strategic thinker with strong critical reasoning skills

              • +
              +
                +
              • Strong interpersonal skills, able to build relationships, effectively interact, influence, and motivate individuals at all levels of the organization to make an impact

              • +
              • Superior communication skills with proven ability to communicate quantitative/ qualitative information and key messages in a clear and compelling way (tell a story from the numbers) that is flexible to suit different audiences, from field-office to executive-level

              • +
              • Detail oriented with excellent organization skills and ability to effectively manage work under tight timelines and changing priorities

              • +
              • Self-motivated, resourceful team player with high energy and ability to work independently while handling high degree of ambiguity, changing priorities and timelines

              • +
              • Comfortable leading through transformational change and recognized as a champion for continuous improvement

              • +
              +
              • Exceptional personal integrity in order to manage access to sensitive information about risks, results, people, and other

              +

              +

              Education

              +
                +
              • Working towards an advanced university degree in Data Analysis, Statistics, Mathematics, Engineering, Economics, or other analytically based discipline

              • +
              • Working towards a professional business designation (CFA, CA, etc.) is an asset

              • +
              +

              +

              Technical Knowledge/Skills

              +
                +
              • Strong skills with mining, accessing, and analyzing large amounts of data and programming skills (e.g., SQL, Python, R, VBA, SAS, EDW) are an asset

              • +
              • Strong skills in Tableau and other visualization tools is considered an asset

              • +
              • Strong skills with Excel and other Microsoft products

              • +
              +

              +

              Skills Category:

              +

              Analytical skills, Business intelligence, Computer skills, Effective communication, Interpersonal skills, Organizational intelligence, Relationship management, Time management

              +
              +

              +

              Additional Information

              +
              +

              Early Talent Requirements

              +

              +
                +
              • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
              • +
              • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
              • +
              • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements.
              • +
              +
              +

              +

              Hours

              +
              37.5
              +

              +

              Start Date

              +
              – Summer
              +

              +

              Inclusiveness

              +

              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

              +

              +
              ",,https://jobs.td.com/en-CA/jobs/17549822/business-insights-analyst-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-27T17:29:07.671Z,False,0,5,27,https://talenthub.vectorinstitute.ai/jobs/183865806-business-insights-analyst-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17549822/business-insights-analyst-co-op-toronto-ca/,expired,2023-01-05T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +eae302ba-a15a-433b-aec6-359b4c5718ef,188134976,Sun Life Financial,Data Analyst,on_site,"Ontario, Canada",2023-01-18T17:41:03.905Z,"
              +

              You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

              +

              +

              +

              Job Description:

              +

              +

              Role Summary

              +

              +

              Founded in Canada in 1865, Sun Life has been a trusted name for generations, serving millions of Clients in Canada, the United States, Asia, the U.K. and other parts of the world.

              +

              +

              To support the vision of helping Canadians live healthier lives, Sun Life has launched a new business named Sun Life Health that brings together Sun Life’s Group Benefits and Lumino Health (an innovative platform launched in 2018). By uniting these two groups, Sun Life Health can deliver on transformative health solutions for both Clients and Canadians.

              +

              +

              Lumino Health is the foundation of that health strategy, which enables Canadians to find health-care resources and providers (dentists, physiotherapists, massage therapists, chiropractors, and more). For these providers, Lumino Health is a new way to market their practice and connect with more patients. To learn more about Lumino Health, visit https://luminohealth.ca/

              +

              The Data Science & Analytics team plays a critical role in the execution of the Sun Life Health strategy, and works very closely with the different digital portfolios part of Sun Life Health, including Lumino.

              +

              +

              The Data Science & Analytics team is responsible for:

                -
              • Acts as a trusted advisor to assigned business/group.
              • -
              • Influences and negotiates to achieve business objectives.
              • -
              • Recommends and implements solutions based on analysis of issues and implications for the business.
              • -
              • Assists in the development of strategic plans.
              • -
              • Identifies emerging issues and trends to inform decision-making.
              • -
              • Supports the execution of strategic initiatives in collaboration with internal and external stakeholders.
              • -
              • Helps determine business priorities and best sequence for execution of business/group strategy.
              • -
              • Conducts independent analysis and assessment to resolve strategic issues.
              • -
              • Automates validation tests to improve quality and efficiency of the validation process.
              • -
              • Identifies emerging issues and trends to inform decision-making.
              • -
              • Builds effective relationships with internal/external stakeholders.
              • -
              • Ensures alignment between stakeholders.
              • -
              • Cleanses, manipulates, and transforms data through programming/scripting for model training and validation.
              • -
              • Conducts various pre-implementation and post-implementation analyses to estimate/measure business impact caused by model adoption (e.g., revenue increase, cost reduction, corporate brand image).
              • -
              • Provides input into the planning and implementation of operational programs.
              • -
              • Executes work to deliver timely, accurate, and efficient service.
              • -
              • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
              • -
              • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
              • -
              • Works with stakeholders to identify the business requirements, understand the distinct problems, and the expected outcome and models and frames business scenarios which impact critical business processes and/or decisions.
              • -
              • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
              • -
              • Applies scripting/programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
              • -
              • Develops agreed analytical solution by applying suitable statistical techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, artificial intelligence) to test, verify, refine hypotheses.
              • -
              • Summarizes statistical findings and draws conclusions and presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
              • -
              • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
              • -
              • Performs experimental design approaches to validate finding or test hypotheses.
              • -
              • Uses the appropriate algorithms to discover patterns.
              • -
              • Builds effective relationships with internal/external stakeholders. Ensures alignment between stakeholders.
              • -
              • Supports development of tools and delivers training for data and analytics.
              • -
              • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
              • -
              • Leads/participates in the design, implementation and management of core business/group processes.
              • -
              • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
              • -
              • Provides specialized consulting, analytical and technical support.
              • -
              • Exercises judgment to identify, diagnose, and solve problems within given rules.
              • -
              • Works independently and regularly handles non-routine situations.
              • -
              • Broader work or accountabilities may be assigned as needed.

                Qualifications:

                -
              • -
              • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
              • -
              • Data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS.
              • -
              • Relevant experience in risk, capital, and/or treasury management is preferred.
              • -
              • A professional designation in Finance or Risk management is preferred.
              • -
              • Post-secondary degree in Finance/Economics/Math required.
              • -
              • Professional designation in Finance or Risk management required.
              • -
              • Deep knowledge and technical proficiency gained through extensive education and business experience.
              • -
              • Verbal & written communication skills - In-depth.
              • -
              • Collaboration & team skills - In-depth.
              • -
              • Analytical and problem solving skills - In-depth.
              • -
              • Influence skills - In-depth.
              • -
              • Data driven decision making - In-depth.
              • +
              • Being the analytics translators to identify high-impact data science use cases

              • +
              • Building dashboards and reports to monitor progress and help extract valuable insights from vast amounts of data

              • +
              • Partnering with other Analytics/IT groups to leverage expertise of Data Scientists/Data Engineers/Developers to explore and solve complex business problems

              • +
              • Supporting various teams within Sun Life Health to leverage best practices associated with data management and develop processes that support data driven decision making

              -

              -

              -

              We’re here to help

              -

              At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

              +

              The Data Analyst’s primary focus is on providing reporting for operational decision making, maintaining data models, leveraging analytical skills to highlights trends and insights from data. In this role, you will use data to generate business insights and provide meaningful suggestions on opportunities for improvements. You will be involved in gathering requirements, development, data investigation, modeling and analysis, documentation, delivery, and implementation of various business projects.

              -

              As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

              +

              What Will You Do?

              +
                +
              • Create and maintain ETL processes, dashboard and reports that can be leveraged to find insights

              • +
              • Develop analysis and reporting tools to support requests for analytical services

              • +
              • Participate in the technical design, development, and testing of analysis/reports and in the creation of user documentation and processes

              • +
              • Develop and present reporting solutions to key stakeholders and partners

              • +
              • Learn about business processes in order to analyze, interpret, and advise managers on analytical findings

              • +
              • Collaborate with stakeholders to ensure effective use of reporting and analysis, and provide support if needed

              • +
              • Understand and incorporate technology best practices with a primary focus on Tableau and Python.

              • +
              • Diligently perform quality assurance and risk assessment guidelines to minimize operational, reputation, and legal risk

              • +

              -

              To find out more visit us at https://jobs.bmo.com/ca/en.

              +

              What Do You Need To Succeed?

              +
                +
              • Minimum of 2 years experience in SQL and Python

              • +
              • Experience with creating and maintaining visualizations and dashboards in Tableau, or any other visualization tool

              • +
              • Technical mindset with an undergraduate/masters degree, preferably in Computer Science, Statistics, Mathematics, Engineering, or 2-5 years of business experience in related field

              • +
              • Familiarity with machine learning applications

              • +
              • Experience working with relational databases and creating data models with efficient design

              • +
              • Strong problem solving and analytical skills

              • +
              • Demonstrated ability to produce meaningful results from data

              • +
              • Proven experience consolidating and analyzing data sources

              • +
              • Excellent written and verbal communication skills with experience in relaying complex concepts to non-technical users

              • +
              • Comfortable learning new applications quickly with minimal direction

              • +
              • Proven ability to work collaboratively within a cross functional team environment

              • +
              • Ability to succeed in a dynamic, fast-paced environment, and quickly find alternative solutions to business and data challenges

              • +
              • Attention to detail and in-depth planning, organizational and time management skills

              • +
              • Experience with AWS SageMaker would be an asset

              • +

              -

              BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

              +

              Unique Requirements

              +
                +
              • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

              • +
              • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

              • +

              -

              Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

              -
              ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Modelling---Analytics_R220026982?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-07-01T18:04:35.767Z,False,0,3,27,https://talenthub.vectorinstitute.ai/jobs/231447033-manager-modelling-analytics-at-bmo-financial-group,,expired,2023-06-01T15:39:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -6724efb0-d90d-4251-859b-b132a0d5fa02,201828308,Scotiabank,Senior Data Engineer,on_site,Canada : Ontario : Toronto,2023-03-05T17:22:02.250Z,"

              -

              -

              -

              -

              Requisition ID: 172548

              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

              -

              -

              -

              Job Purpose

              -

              -

              As a Senior data engineer in Data Management, AML/ATF Models and Analytics team, you will contribute to build better way to approach all banking product/service systems data for AML/ATF purpose by using your advanced engineering , analytical and communication skills. This role will be responsible for leading project work in BI reporting, Data Quality and Data Management improvement for AML/ATF model building and performance enhancement. You will design and execute more efficient Data Engineering and Development Operation processes. Also you will lead a highly skilled team of Data Engineers to deliver value to financial crime risk management. This role will work close to Data Governance, technology department as well as AML compliance office to provide guidance and business requirement for ensuring success in the management of the critical data elements used by all AML/ATF models in order to comply with the corporate audit and regulatory standards.

              -

              -

              Accountabilities

              -

              -

              • Lead team to Deep Dive into banking product/service sources data , performing data profiling and analysis to determine better dimmensional/Hierarchical data for AML/ATF model and predict data analysis.
              • Lead team to use latest cloud and computing technology to deliver end to end infrastructure that raise the bar on AML analytic innovation and quality.
              • Hands-on ownership architecting and developing highly scalable and highly available applications in Hadoop or Cloud
              • Act as a subject matter expert for AML/ATF initiatives, working with project senior leadership providing an understanding of the increased risk of AML/ATF associated with implementation of the initiative and developing FIU business requirements to mitigate these risks.
              • Provide data expertise and identify data patterns within banking data to help identify different types of AML risks.
              • Leading data quality assessment for AML/ATF models and work with Technology partners to solve data quality issues and mitigate AML risks
              • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge
              • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct

              -

              Skills / Experience

              -

              -

              • Strong knowledge of Big Data framework and building scalable applications in Cloud, such as Microsoft Azure etc.
              • Strong knowledge of banking product/service and backend data lifecycle, international wire (SWIFT and NOT SWIFT) will be asset.
              • Strong effective communication skills and manage expectations with diverse groups or stakeholders
              • Experienced programming in such as Python, PySpark, Scala and building dataset and data flow in Power BI
              • Experienced with databases such as Oracle, SQL Server, PostgreSQL
              • AML/ATF experience or analytic knowledge
              • Oracle Mantas Application experience and knowledge

              -

              Education

              -

              -

              • Bachelor's degree in business, finance, or engineering
              • Strong experience with data modelling and data analysis
              • Minimum of 3 years of relevant experience in AML/ATF

              -

              -

              -

              Location(s): Canada : Ontario : Toronto

              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

              ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Engineer-ON-M5H1B6/567387617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-05T18:47:54.544Z,False,0,2,15,https://talenthub.vectorinstitute.ai/jobs/201828308-senior-data-engineer-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Engineer-ON-M5H1B6/567387617/,expired,2023-03-05T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +

              What\'s In It For You?

              +
                +
              • Great Place to Work® Certified in Canada and the US - 2022

              • +
              • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

              • +
              • Named “Best Places to Work” by Glassdoor - 2021

              • +
              • Canada Award for Excellence for Mental Health at Work - 2021

              • +
              • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid #LI- Remote

              • +
              • Competitive salary and bonus structure influenced by market range data

              • +
              • Pension, stock and savings programs to help build and enhance your future financial security

              • +
              • A friendly, collaborative, and inclusive culture

              • +
              • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

              • +
              • The opportunity to move along a variety of career paths with amazing networking potential

              • +
              +

              +

              The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

              +

              +

              Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

              +

              +

              Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

              +

              +

              At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

              +

              +

              We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

              +

              +

              Salary Range:

              53,300/53 300 - 86,300/86 300

              +

              Job Category:

              Advanced Analytics

              +

              Posting End Date:

              25/01/2023
              ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Data-Analyst_JR00073801-1?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-01-27T17:46:02.317Z,False,0,12,43,https://talenthub.vectorinstitute.ai/jobs/188134976-data-analyst-at-sun-life-financial,,expired,2023-01-18T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, abca9e23-5261-46f8-a270-9b6f8c8358b5,163233044,Loblaw Companies Ltd.,Data Scientist,on_site,"Brampton, ON, Canada",2022-11-04T19:11:56.553Z,"

              Referred applicants should not apply directly to this role.

              All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

              Location:

              @@ -59597,69 +66824,550 @@ cdb9acc5-5870-4899-b480-0918fd4bf1f7,207763641,Scotiabank,Analytics DevOps Engin

              In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

              -

              Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

              -
              ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Data-Analyst_R2000323206?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-06-03T18:24:24.406Z,False,0,19,69,https://talenthub.vectorinstitute.ai/jobs/222286951-data-analyst-at-loblaw-companies-ltd,,expired,2023-05-04T17:14:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Associate,Bachelors Degree,New Posting, -b4d80446-10da-44aa-a400-488a3fc9448b,228135961,RBC,"Manager, Stress Testing and Impairment Analytics",on_site,"Toronto, ON, Canada",2023-05-22T15:47:03.961Z,"
              -

              Come Work with Us!

              At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

              Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

              -

              Job Title

              Manager, Stress Testing and Impairment Analytics

              +

              Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

              +
              ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Data-Analyst_R2000323206?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-06-03T18:24:24.406Z,False,0,19,69,https://talenthub.vectorinstitute.ai/jobs/222286951-data-analyst-at-loblaw-companies-ltd,,expired,2023-05-04T17:14:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Associate,Bachelors Degree,New Posting, +b4d80446-10da-44aa-a400-488a3fc9448b,228135961,RBC,"Manager, Stress Testing and Impairment Analytics",on_site,"Toronto, ON, Canada",2023-05-22T15:47:03.961Z,"
              +

              Come Work with Us!

              At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

              Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

              +

              Job Title

              Manager, Stress Testing and Impairment Analytics

              +

              +

              Job Description

              +

              +

              What is the Opportunity?

              +

              The Stress Testing & Credit Provisioning team provides Senior Management within Risk Management, Finance, Business units (including: Capital Markets, Canadian Banking, I&TS, Wealth Management, Insurance, and legal entities) and Investor Relations with expert analysis and guidance on the Banks stress testing and credit provision, includes IFRS9, CECL and Stress testing program.

              +

              +

              Team also provides support for the review & analysis of RBC’s Enterprise Wide Stress Testing (EWST) results that are used in Board level risk appetite statements.

              +

              +

              The Manager, Stress Testing & Credit Provisioning will be executing production reporting processes, evaluating SOX control and assisting to enhance process efficiencies and reduce operational risks. As the subject matter expert on IFRS9, CECL and EWST data, you will be interacting with model implementation teams to understand the data lineage for IFRS9, CECL and EWST calculations.

              +

              +

              What will you do?

              +
                +
              • Assist in the execution and maintenance of time sensitive IFRS9 and CECL live production runs
              • +
              • Assist in maintaining reporting infrastructure for the analysis of IFRS9, CECL & Enterprise-Wide Stress Testing (EWST).
              • +
              • Assist in the timely production of the Allowance Committee decks that are critical for the approval of the allowances by the Committee. The reported numbers have a direct impact on the balance sheet and the income statements of every business line across RBC.
              • +
              • Working closely with Credit Provision Analysis and Measurement (CPAM), Stress Testing (ST), IFRS9 model and IFRS9 system teams, understand & deliver the required analyses and best practices for the reporting.
              • +
              • Continuously review and streamline current reporting processes and explore new technology for the enhancement.
              • +
              • Have a strong governance control mindset and attention to detail, to ensure correct and representative information is presented for internal & external reviews of allowances.
              • +
              +

              +

              What do you need to succeed?

              +
                +
              • Undergraduate, and preferably graduate, degree in a quantitative discipline such as physics, mathematics, statistics, engineering, economics, econometrics, actuarial science, finance and/or relevant professional qualifications, with focus on quantitative statistical and analytical skills.
              • +
              • Minimal relevant business work experience in quant groups (risk, front office, etc.) in the financial industry. Academic and/or other industry experience will be considered based on relevance.
              • +
              • More than 3-5 years programming experience with tools such as SAS, Python Excel/VBA etc.
              • +
              • Knowledge of database structure and management (SQL, SAS, etc.).
              • +
              • Quick learner with outstanding conceptual, analytical, and problem solving skills, with an ability to work towards challenging deadlines and deliver under pressure.
              • +
              +

              +

              +

              Nice to Have

              +
                +
              • Professional designation in Accounting, Finance or Risk Management is preferred, but not required – e.g. CPA, CFA, or FRM etc.
              • +
              • Strong ability to communicate, verbally and in writing, complex concepts in non-technical terms to business segment Finance and senior business segment leaders.
              • +
              • Demonstrated self-starter and leader (versus solely a delegator) who can tailor analysis to required level of precision
              • +
              • A thorough understanding of relevant accounting and regulatory rules and requirements (IFRS 9, Basel) preferred.
              • +
              +

              +

              +

              What’s in it for you?

              +

              +

              We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

              +
                +
              • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
              • +
              • Leaders who support your development through coaching and managing opportunities
              • +
              • Ability to make a difference and lasting impact
              • +
              • Work in a dynamic, collaborative, progressive, and high-performing team
              • +
              • A world-class training program in financial services
              • +
              • Flexible work/life balance options
              • +
              +

              +

              +

              Job Summary

              Monitors market risk and implements risk management systems and processes to minimize any risk to the market. Applies extensive, in-depth knowledge, skills, and practices to perform complex assignments.

              Address:

              TORONTO, Ontario, Canada

              City:

              CAN-ON-TORONTO

              Country:

              Canada

              Work hours/week:

              37.5

              Employment Type:

              Full time

              Platform:

              Group Risk Management

              Job Type:

              Regular

              Pay Type:

              Salaried

              Posted Date:

              2023-05-19

              Application Deadline:

              2023-06-03
              +

              Inclusion and Equal Opportunity Employment

              +

              At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
              ​​​​​​​
              We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

              +
              +

              Join our Talent Community

              Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

              Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

              +
              ",,https://jobs.rbc.com/ca/en/job/R-0000059972/Manager-Stress-Testing-and-Impairment-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-06-05T15:52:03.314Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/228135961-manager-stress-testing-and-impairment-analytics-at-rbc,,expired,2023-05-22T15:47:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +e9e61b61-3878-4df4-adce-00218c335df6,226982404,Scotiabank,Senior Data Engineer,on_site,Canada : Ontario : Toronto,2023-05-18T15:52:02.882Z,"

              +

              +

              +

              +

              Requisition ID: 172548

              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

              +

              +

              +

              Job Purpose

              +

              +

              As a Senior data engineer in Data Management, AML/ATF Models and Analytics team, you will contribute to build better way to approach all banking product/service systems data for AML/ATF purpose by using your advanced engineering , analytical and communication skills. This role will be responsible for leading project work in BI reporting, Data Quality and Data Management improvement for AML/ATF model building and performance enhancement. You will design and execute more efficient Data Engineering and Development Operation processes. Also you will lead a highly skilled team of Data Engineers to deliver value to financial crime risk management. This role will work close to Data Governance, technology department as well as AML compliance office to provide guidance and business requirement for ensuring success in the management of the critical data elements used by all AML/ATF models in order to comply with the corporate audit and regulatory standards.

              +

              +

              Accountabilities

              +

              +

              • Lead team to Deep Dive into banking product/service sources data , performing data profiling and analysis to determine better dimmensional/Hierarchical data for AML/ATF model and predict data analysis.
              • Lead team to use latest cloud and computing technology to deliver end to end infrastructure that raise the bar on AML analytic innovation and quality.
              • Hands-on ownership architecting and developing highly scalable and highly available applications in Hadoop or Cloud
              • Act as a subject matter expert for AML/ATF initiatives, working with project senior leadership providing an understanding of the increased risk of AML/ATF associated with implementation of the initiative and developing FIU business requirements to mitigate these risks.
              • Provide data expertise and identify data patterns within banking data to help identify different types of AML risks.
              • Leading data quality assessment for AML/ATF models and work with Technology partners to solve data quality issues and mitigate AML risks
              • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge
              • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct

              +

              Skills / Experience

              +

              +

              • Strong knowledge of Big Data framework and building scalable applications in Cloud, such as Microsoft Azure etc.
              • Strong knowledge of banking product/service and backend data lifecycle, international wire (SWIFT and NOT SWIFT) will be asset.
              • Strong effective communication skills and manage expectations with diverse groups or stakeholders
              • Experienced programming in such as Python, PySpark, Scala and building dataset and data flow in Power BI
              • Experienced with databases such as Oracle, SQL Server, PostgreSQL
              • AML/ATF experience or analytic knowledge
              • Oracle Mantas Application experience and knowledge

              +

              Education

              +

              +

              • Bachelor's degree in business, finance, or engineering
              • Strong experience with data modelling and data analysis
              • Minimum of 3 years of relevant experience in AML/ATF

              +

              +

              +

              Location(s): Canada : Ontario : Toronto

              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

              ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Engineer-ON-M5H1B6/567387617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-05T15:57:03.955Z,False,0,3,15,https://talenthub.vectorinstitute.ai/jobs/226982404-senior-data-engineer-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Engineer-ON-M5H1B6/567387617/,expired,2023-05-18T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +e6115b13-3005-45e0-a351-20a9139af278,226183720,Scotiabank,Wealth Management - Data Analytics Internship/Co-Op - Fall 2023,on_site,Canada : Ontario : Toronto,2023-05-16T15:52:02.478Z,"

              +

              +

              +

              +

              Requisition ID: 177730

              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

              +

              +

              Term: September-December 2023

              +

              Application Deadline: June 2, 2023

              +

              +

              There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

              +

              +

              Is this role right for you? In this role, you will:

              +
              • Be involved in the definition of business requirements and processes, ensuring that progress can be measured against planned objectives by working with different teams, and internal partners; performing analysis and completing reports to measure project success and impact to business
              • Prepare reports and dashboards to inform strategic decision-making including trending analysis, projections and forecasts utilizing statistical modelling
              • Investigate and become an expert in available data sources of data, transform and determine how they can be interpreted for analysis
              • Flex your analytical skills by identifying and analyzing business and technical requirements to create diagrams, flow charts, and documentation
              • Make impact by constantly identifying and implementing process improvements
              • Experiment & learn!
              • +
              +

              +

              Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

              +
              • You are currently enrolled in post-secondary education.
              • You love to learn and envision yourself working for an international organization that heavily invests in your future.
              • You enjoy being involved in extracurricular activities such as conferences, clubs,
              • You have strong written/verbal communication and project management skills.
              • +You have knowledge/experience in:
                • Managing process and planning, facilitating teamwork, and coordinating the execution of multiple deliverables.
                • Interpreting and consolidating large amounts of information in actionable recommendations.
                • Using sound judgment in the creation of analysis, validation, interpretation, and presentation of findings.
                • Cleaning, transforming and visualizing large data sets working with various data formats (e.g., Enterprise Data Warehouse, Unstructured logs, XML, JSON, flat files, SAS, CSV)
                • Visualization tools like PowerBI, Tableau or Qlikview
                • Data Analysis/manipulation tools for working with data (e.g., SQL, DB2, MySQL, Python, R)
                • Making sense of data, creating reports, and communicating KPI’s
              • +
              +

              +

              What’s in it for you?

              +
              • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
              • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
              • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
              • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
              • +
              +

              +

              How do I apply?

              +

              For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead,we ask that as part of your application you complete the below:

              +
              1. +Complete your PLUM Profile Here and save as a screenshot. +
              2. +Complete a short one-way video interview Here. +
              3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
              4. +
              +

              +

              *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all three steps above.

              +

              +

              Location(s): Canada : Ontario : Toronto

              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

              ",,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Data-Analytics-InternshipCo-Op-Fall-2023-ON/570128117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-05T15:57:03.955Z,False,0,7,40,https://talenthub.vectorinstitute.ai/jobs/226183720-wealth-management-data-analytics-internship-co-op-fall-2023-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Data-Analytics-InternshipCo-Op-Fall-2023-ON/570128117/,expired,2023-05-16T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +0f8988e8-adff-46a7-85b3-54792b3c5f30,230331897,Scotiabank,Senior Manager Fraud Analytics,on_site,Canada : Ontario : North York || Canada : Ontario : Toronto,2023-05-29T15:52:03.682Z,"

              +

              +

              +

              +

              Requisition ID: 178789

              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

              +

              +

              Purpose
              Leads and oversees Fraud Analytics team in Canada ensuring business strategies, plans and initiatives are executed / delivered in compliance with governing regulations, internal policies and procedures.

              +

              +

              Accountabilities
              • Leads and drives a customer focused culture throughout their team to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

              • Develop, execute and monitor fraud strategies for Canadian Banking, leveraging best in class analytics

              +

              • Leverage data mining tools (Python, R) to formulate fraud strategies that minimize fraud losses while maintaining a positive customer experience and controlling operating costs

              +

              • Report on performance of existing fraud strategies for Canadian Banking by Products and Channels

              +

              • Identify and leverage new data, adopt new techniques and technology to improve fraud strategy performance

              +

              • Identify opportunities for improvement with focus on risk/return while ensuring alignment with Fraud Operations teams

              +

              • Identify and escalate fraud risks that are or will become in excess of the Risk Appetite

              +

              • Lead / participate in the identification, development and implementation of new initiatives

              +

              • Work with fraud operations and other business partners to ensure new initiatives will be deliverable and executable

              +

              • Contribute to and support a variety of projects and initiatives across the Fraud Management Group

              +

              • Participate in discussions with IT partners and vendors on requirements and solution design

              +

              • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

              +

              • Creates an environment in which his/her team pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

              +

              • Builds a high performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team.

              +


              Education / Experience / Other Information
              • A University degree in statistics, mathematics or computer science
              • 5+ years analytical experience including statistical analysis, ideally related to Fraud Analytics or Risk Management
              • 2+ years team management experience
              • Experience with statistical software such as Python, R, etc
              • Experience with Proactive Risk Manager (PRM) or similar fraud platform strongly desired
              • Strong prioritizing, planning, analytical, presentation, project management, and relationship building skills
              • Strong communication skills essential with clients, vendors and management
              • Must be self-motivated, energetic and results-oriented and be committed to adding value to the organization

              +

              +

              Location(s): Canada : Ontario : North York || Canada : Ontario : Toronto

              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

              ",,https://jobs.scotiabank.com/job/North-York-Senior-Manager-Fraud-Analytics-ON-M3C0N5/570727917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-05T15:57:03.955Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/230331897-senior-manager-fraud-analytics-at-scotiabank,https://jobs.scotiabank.com/job/North-York-Senior-Manager-Fraud-Analytics-ON-M3C0N5/570727917/,expired,2023-05-29T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +b5e395f6-40bc-4c5a-97c3-4ead6a4dd6cb,229115595,Avidbots,Infrastructure Software Developer,on_site,"Ontario, Canada",2023-05-25T16:15:03.764Z,"
              +

              At Avidbots, we believe in solving real world problems with autonomous robotics solutions. Our current product, Neo, is a fully autonomous floor scrubbing robot deployed and trusted by the world’s leading facilities, building services, and retail companies and we aren’t stopping there! Headquartered in Kitchener, ON, Canada, Avidbots is a rapidly growing technology company, recognized as a Great Place to Work and one of Deloitte\'s Fast 500. Take a look at what Neo can do!

              +

              +

              This opportunity is a hybrid position

              +

              +

              About the role:

              +

              As an Infrastructure Software Developer of the remote team, you will play a critical role in our organization\'s success by designing, implementing, and maintaining the infrastructure and systems that support our operations. This role requires a unique blend of skills in C++, Linux, and Python, along with knowledge of DevOps and cloud computing principles.

              +

              The successful candidate will be responsible for ensuring that our systems are optimized for performance, security, and reliability, and will work closely with cross-functional teams to support the organization\'s goals. The role offers professional growth and development opportunities in a fast-paced, dynamic environment. If you are a highly skilled engineer with a passion for infrastructure and system design, we encourage you to apply for this exciting opportunity.

              Key Responsibilities:

              +
                +
              • Design and implement infrastructure solutions that meet the needs of the organization, including server architecture, networking, storage, and security.
              • +
              • Develop, test, and maintain C++ applications and scripts for automation and monitoring of infrastructure and systems.
              • +
              • Develop, test, and maintain Python applications and scripts for automation and monitoring of infrastructure and systems.
              • +
              • Monitor and troubleshoot production systems to ensure uptime and performance, and implement solutions to address any issues.
              • +
              • Collaborate with cross-functional teams to ensure that infrastructure and systems are integrated and optimized to support the organization\'s goals.
              • +
              • Implement DevOps best practices, including continuous integration and delivery, configuration management, and automated testing.
              • +
              • Maintain AWS cloud infrastructure
              • +
              • Develop and maintain documentation for infrastructure and systems, including procedures, policies, and system configurations.
              • +
              • Stay up-to-date with industry trends and emerging technologies, and make recommendations for improvements to infrastructure and systems.
              • +
              +

              +

              Required Skills & Experience:

              +
                +
              • BE / B-Tech or higher degree in Computer Science / Engineering
              • +
              • 5+ years of overall infrastructure software development and support process experience
              • +
              • Demonstrated expertise in C++ programming (5 Years), with knowledge of data structures, algorithms, and object-oriented programming principles.
              • +
              • Extensive background in Linux system administration (5 Years), including command-line tools, shell scripting, and system configuration.
              • +
              • Solid proficiency in Python programming (5 Years), with knowledge of scripting, data analysis, and web development frameworks.
              • +
              • Working knowledge of Jenkins, Jira, confluence, bitbucket, Docker
              • +
              • Strong understanding of DevOps principles and best practices, including continuous integration and delivery, infrastructure as code, and automated testing.
              • +
              • Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
              • +
              +

              +

              Nice to have:

              +
                +
              • Experience with cloud computing platforms, such as AWS / Azure.
              • +
              • Knowledge of ROS to build and reuse code between robotics applications.
              • +
              • Familiarity with docker orchestration tools such as Kubernetes.
              • +
              • Experience with configuration management and infrastructure provisioning tools such as Ansible, Puppet, or Chef
              • +
              +

              +

              Avidbots is an equal opportunity employer committed to building a diverse workforce. As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. We offer a professional working environment and culture and believe that work/life balance is critical to ensure the happiness/well-being of our people.

              +

              Upon request, Avidbots will provide reasonable accommodation for applicants with disabilities throughout the recruitment and selection process

              +
              ",,https://avidbots.bamboohr.com/careers/650,feed-importer@jobboard.io,,,,2023-06-05T16:20:04.367Z,False,0,3,23,https://talenthub.vectorinstitute.ai/jobs/229115595-infrastructure-software-developer-at-avidbots,,expired,2023-05-25T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Mid-Senior Level,Bachelors Degree,New Posting, +986ce8eb-7f0f-47c7-8d51-67b2ca055bf5,197908551,Borealis AI,Research Director,on_site,"Ontario, Canada",2023-02-19T17:27:03.139Z,"
              +

              What’s the opportunity?

              +

              Borealis AI is looking for a Research Director. The role includes directing a team of machine learning researchers and managing other research team leads with the goal of delivering AI-based products for the financial services industry. In addition, you will provide leadership and deliver on initiatives that improve the effectiveness of the entire research organization.

              +

              Your responsibilities include:

              +
                +
              • To join the Borealis AI research leadership team and shape the research organization as a whole and contribute to its overall performance.
              • +
              • To work with the Borealis AI business development team to identify viable artificial intelligence products that will add significant value to RBC stakeholders.
              • +
              • To lead a team of machine learning researchers delivering cutting edge AI technology to support these products.
              • +
              • To partner with Borealis AI’s product and engineering teams to ensure the seamless delivery of these products.
              • +
              • To manage other research team leads and provide guidance and support.
              • +
              • To help recruit, mentor and retain a high-performing research team across Borealis AI.
              • +
              +

              You’re our ideal candidate if you have:

              +
                +
              • A Ph.D. degree in Computer Science or a related technical field;
              • +
              • 10 years of experience leading research teams in machine learning in a product-centric environment or equivalent experience;
              • +
              • A track record of successful people management including mentoring junior researchers and engineers, experienced high-performance researchers, and research managers;
              • +
              • Experience delivering successful high-impact machine learning products
              • +
              • Involvement across the research and development lifecycle, from prototyping to production, engaging with stakeholders to develop solutions that meet business needs;
              • +
              • Broad research interests and detailed knowledge of cutting edge machine learning techniques across multiple areas;
              • +
              • The ability to formulate and drive multiple research projects independently;
              • +
              • Exceptional communication and leadership skills;
              • +
              • A history of high quality academic publications (e.g., NeurIPS, CVPR, AISTATS, ICLR, ICML etc.) and community recognition for excellence;
              • +
              +

              What\'s in it for you?

              +
                +
              • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
              • +
              • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
              • +
              • Ability to make a difference and lasting impact from a local-to-global scale
              • +
              +

              About Borealis AI

              +

              Borealis AI, a RBC Institute for Research, is a research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

              +

              Inclusion and Equal Opportunity Employment

              +

              RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

              +

              +
              ",,https://www.borealisai.com/careers/?gh_jid=6466710002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-03-24T18:41:49.412Z,False,0,2,27,https://talenthub.vectorinstitute.ai/jobs/197908551-research-director-at-borealis-ai,,expired,2023-02-19T17:27:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,PhD,New Posting, +70e14157-9c42-47da-93a2-8dac90e43b7f,198034047,TD Bank Group,Data Scientist III,on_site,"Toronto, ON",2023-02-20T17:24:06.837Z,"
              +

              Company Overview

              +
              +

              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

              +

              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

              +
              +

              +

              Department Overview

              +
              +

              What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

              +

              As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

              +

              TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

              +
              +

              +

              Job Description

              +
              +

              About this Role

              +

              For this role, we’re counting on your intensive technical leadership to forge our path moving forward. As an emissary of the crucial nature of data science, you’ll work in close proximity others across the bank to identify and pursue new opportunities wherever they lie. You’ll play a crucial role on cross functional teams of data scientists, data and IT engineers and business process owners to build out and implement world-class analytic solutions enterprise wide. You can handle just how much data TD has, and cannot wait to help build statistical models that scale to them.

              +

              We are looking for someone to help parse our vast data and identify needs and analytical trends employing industry leading techniques and theories to improve TD’s business practices enterprise wide.

              +

              As a Data Scientist III, these are the essential qualifications of this role:

              +
                +
              • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core deliverables
              • +
              • Work closely with business owners to find opportunities and serve as an ambassador for data science
              • +
              • Design and deliver enterprise analytic solutions for customers
              • +
              • Develop powerful business insights from social, marketing and industrial data using advanced machine learning techniques
              • +
              • Build complex statistical models that learn from and scale to petabytes of data.
              • +
              • Analytical thought leadership and stay current on developments in data mining and the application of data science
              • +
              • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
              • +
              • Generally accountable for a significant business management area that typically has enterprise wide impact or accountability
              • +
              • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
              • +
              +
              +

              +

              Requirements

              +
              +What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

              +
                +
              • Undergraduate degree or technical certificate
              • +
              • Ten (10) or more years of relevant experience
              • +
              • Familiarity and experience with Optimization and Operations Research methodologies as applied in a commercial Marketing context
              • +
              • Familiarity and experience with MarTech tools and process and the activation of machine learning and analytical outputs within these tools
              • +
              +
              +

              +

              Additional Information

              +
              +#LI-Hybrid #datascientist
              +

              +

              Hours

              +
              37.5
              +

              +

              Inclusiveness

              +

              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

              +

              +
              ",,https://jobs.td.com/en-CA/jobs/17017349/data-scientist-iii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-26T16:45:13.089Z,False,0,4,30,https://talenthub.vectorinstitute.ai/jobs/198034047-data-scientist-iii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17017349/data-scientist-iii-toronto-ca/,expired,2023-02-20T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +ae2808dd-c325-4328-a898-6e0de27bd08a,198985839,Loblaw Companies Ltd,Data Engineer,on_site,"Ontario, Canada",2023-02-23T17:14:01.808Z,"
              +

              Referred applicants should not apply directly to this role.

              +

              All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

              +

              +

              +

              Location:

              500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

              +

              +

              When you hire great people, great things can happen.

              +

              PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

              +

              +

              Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

              +

              +

              Our mission is to build the PC Bank Payment & Rewards Data Platform, which would serve as an integrated data platform to perform complex big-data processing, advanced analytics, and machine learning. The Data Engineer position is a fantastic opportunity to join our expanding PC Bank Payment & Rewards Engineering team.

              +

              +

              The Data Engineering team is looking for passionate engineers working in a fast-paced organization using Agile/Scrum methodology to deliver excellent solutions for our demanding customer service, operations requirements, and resolving the engineering challenges of building robust and scalable data systems aligned to enterprise data strategy.

              +

              +

              You will participate in defining technical solutions, code architectures, and will be responsible for developing and delivering production-ready code. The ideal candidate will be someone who genuinely enjoys problem-solving and writing high-quality code to build robust, highly distributed, and scalable data processing systems and pipelines. Some of the challenges the candidate would tackle are:

              +
                +
              • Design, implement and operate PC Bank’s core datasets that have extreme requirements on scalability, reliability, maintainability, flexibility, auditability, and quality
              • +
              • Design large scale streaming and batch data pipelines (billions of data points) that involve analyzing transactions over a long period without reprocessing vast amounts of data
              • +
              • Perform data profiling and source to target mapping analysis for the best design
              • +
              • +Collaborate with business solution analysts, other engineers, solution architects, and other team members to innovate and evolve our datasets to data products to create a single coherent platform with sources of truth that serve a plethora of stakeholders within PC Bank
              • +
              +

              What you’ll do:

              +
                +
              • Apply your expertise in data and software engineering to design and implement data products that meet extreme requirements on scalability, reliability, maintainability, flexibility, auditability, and quality
              • +
              • Be T-Shaped. Your primary area is data engineering, but you are comfortable working in a secondary area of expertise such as data presentation/visualization, backend engineering, or data modeling (SQL, NoSQL, Graph & Time-series)
              • +
              • Work closely with cross-functional teams of data, backend and frontend engineers, product owners, technical product owners, and technical support personnel
              • +
              • Gaining technical expertise in building a data platform at scale to solve business, product, and technical use cases
              • +
              • Getting hands-on experience with technologies such as Elasticsearch, Apache Airflow, Apache Kafka, Apache Beam, Apache Spark, Hive, HDFS, Kubernetes (Openshift)
              • +
              • +Getting hands-on experience with Google Cloud Platform and technologies such as BigQuery, Cloud Composer, Pub/Sub, Dataflow, Dataproc, GCS, Looker, and other cloud-native offerings in GCP
              • +
              +

              Who you are:

              +
                +
              • An undergraduate or Master’s degree in Computer Science or equivalent engineering experience
              • +
              • 2+ years of professional software engineering and programming experience (Java, Python) with a focus on designing and developing complex data-intensive applications
              • +
              • Familiarity with architecture and design (patterns, reliability, scalability, quality) of complex systems
              • +
              • Advanced coding skills and practices (concurrency, distributed systems, functional principles, performance optimization)
              • +
              • Professional experience working in an agile environment
              • +
              • Strong analytical and problem-solving ability
              • +
              • Strong written and verbal communication skills
              • +
              • Experience in operating and maintaining production-grade software
              • +
              • +Comfortable with tackling very loosely defined problems and thrive when working on a team which has autonomy in their day to day decisions
              • +
              +

              Preferred Skills:

              +
                +
              • Knowledge of software and data engineering best practices
              • +
              • Experience with large scale distributed data technologies and tools
              • +
              • Experience pulling data from a variety of data source types including Mainframe (EBCDIC), Fixed Length and delimited files, databases (SQL, NoSQL, Time-series)
              • +
              • Strong coding skills for analytics and data engineering (Java, Python, and Scala)
              • +
              • Experience performing analysis with large datasets in a cloud-based environment, preferably with an understanding of Google’s Cloud Platform (GCP)
              • +
              • Understands how to translate business requirements to technical architectures and designs
              • +
              • Comfortable communicating with various stakeholders (technical and non-technical)
              • +
              +

              +

              Nice to have Skills (though not required):

              +
                +
              • Exposure to data-science or machine-learning packages (Pandas, Pytorch, Keras, TensorFlow, etc...)
              • +
              • Contributions to open-source software (code, docs, or mailing list posts)
              • +
              • GCP Professional Data Engineer Certification
              • +
              • Confluent Certified Developer for Kafka
              • +
              +

              +

              COVID-19 is a serious condition and has had a devastating impact on Canadians and others across the globe. As a leading Health and Wellness provider for millions of Canadians, our goal is to help all Canadians ""Live Life Well"". ​

              +

              +

              In support of this goal, we have adopted a COVID-19 Vaccination Policy to protect the health and well-being of our employees as we continue our phased approach of office reopening. Employees will be required either to be fully vaccinated or undergo regular COVID-19 Rapid Antigen Screening in order to access the workplace.

              +

              +

              +

              Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

              +

              +

              +

              Number of Openings:

              0

              +

              +

              PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

              +

              +

              In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

              +

              +

              +

              Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

              +
              ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Data-Engineer_R2000234469?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-03-26T16:52:04.654Z,False,0,14,47,https://talenthub.vectorinstitute.ai/jobs/198985839-data-engineer-at-loblaw-companies-ltd,,expired,2023-02-23T17:14:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Bachelors Degree,New Posting, +ee6aa512-6ea3-423f-b8ab-39ca6030d4e5,204323266,TD Bank Group,Data Scientist III,on_site,"Toronto, ON",2023-03-13T17:24:02.933Z,"
              +

              Company Overview

              +
              +

              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

              +

              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

              +
              +

              +

              Department Overview

              +
              +

              What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

              +

              As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

              +

              TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

              +
              +

              +

              Job Description

              +
              +

              About this Role

              +

              For this role, we’re counting on your intensive technical leadership to forge our path moving forward. As an emissary of the crucial nature of data science, you’ll work in close proximity others across the bank to identify and pursue new opportunities wherever they lie. You’ll play a crucial role on cross functional teams of data scientists, data and IT engineers and business process owners to build out and implement world-class analytic solutions enterprise wide. You can handle just how much data TD has, and cannot wait to help build statistical models that scale to them.

              +

              We are looking for someone to help parse our vast data and identify needs and analytical trends employing industry leading techniques and theories to improve TD’s business practices enterprise wide.

              +

              As a Data Scientist III, these are the essential qualifications of this role:

              +
                +
              • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core deliverables
              • +
              • Work closely with business owners to find opportunities and serve as an ambassador for data science
              • +
              • Design and deliver enterprise analytic solutions for customers
              • +
              • Develop powerful business insights from social, marketing and industrial data using advanced machine learning techniques
              • +
              • Build complex statistical models that learn from and scale to petabytes of data.
              • +
              • Analytical thought leadership and stay current on developments in data mining and the application of data science
              • +
              • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
              • +
              • Generally accountable for a significant business management area that typically has enterprise wide impact or accountability
              • +
              • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
              • +
              +
              +

              +

              Requirements

              +
              +What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

              +
                +
              • Undergraduate degree or technical certificate
              • +
              • Ten (10) or more years of relevant experience
              • +
              • Familiarity and experience with Optimization and Operations Research methodologies as applied in a commercial Marketing context
              • +
              • Familiarity and experience with MarTech tools and process and the activation of machine learning and analytical outputs within these tools
              • +
              +
              +

              +

              Additional Information

              +
              +#LI-Hybrid #datascientist
              +

              +

              Hours

              +
              37.5
              +

              +

              Inclusiveness

              +

              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

              +

              +
              ",,https://jobs.td.com/en-CA/jobs/17017349/data-scientist-iii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-27T21:44:00.000Z,False,0,5,42,https://talenthub.vectorinstitute.ai/jobs/204323266-data-scientist-iii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17017349/data-scientist-iii-toronto-ca/,expired,2023-03-13T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +06d76b08-e3c0-4b11-9c15-bed5b554a3c9,205321260,Sun Life Financial,Senior Data Scientist (Health),on_site,"Ontario, Canada",2023-03-16T17:41:03.177Z,"
              +

              You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

              +

              +

              +

              Job Description:

              +

              +

              Role Summary

              +

              +

              To support the vision of helping Canadians live healthier lives, Sun Life Health brings together Sun Life’s Group Benefits and Health Ecosystem businesses, including Lumino Health (an innovative platform launched in 2018). By uniting these two groups, Sun Life Health can deliver on transformative health solutions for both Clients and Canadians. If you’re passionate about improving health for Canadians, and like to take on big challenges in a supportive environment, the Data Science & Analytics (DSA) team in Sun Life Health is the right fit.

              +

              +

              The DSA team is responsible for:

              +
                +
              • Being the analytics translators to identify and deliver high-impact data science use cases

              • +
              • Building dashboards and reports to monitor progress and help extract valuable insights from vast amounts of data

              • +
              • Partnering with other Analytics/IT groups to leverage expertise of Data Engineers/Developers to explore and solve complex business problems

              • +
              • Supporting various teams within Sun Life Health to leverage best practices associated with data management and develop processes that support data driven decision making

              • +
              +

              +

              The Senior Data Scientist’s primary focus is to collaborate closely with the health product and strategy team to launch and test new ideas and solutions to generate innovation within Sun Life’s Health Ecosystem, and to identify data science use cases, create the project execution plan and to drive the project through its life cycle. As part of this life cycle, you will create/maintain data models, provide expertise in data interpretation to support strategic decision making, and leverage analytical skills to highlight trends and insights from data. You will also be responsible for feasibility study of use cases for production at scale and automation.

              +

              +

              What Will You Do?

              +
                +
              • +

                Identify potential data science/machine learning opportunities, create and execute end-to-end plan for implementation and delivery

                +
                  +
                • Work closely with health product and strategy team to define use case and scope

                • +
                • Identify appropriate data sources relevant to the modeling application

                • +
                • Create data pipeline for extracting the data into AWS S3

                • +
                • Perform data preprocessing to ensure data quality

                • +
                • Apply feature engineering principles to create feature space

                • +
                • Create labels if known and appropriate to the problem at hand

                • +
                • Apply machine learning models to identify model with best performance

                • +
                • Perform cross validation and hyper parameter tuning to optimize model performance

                • +
                • Prepare model for deployment

                • +
                • Monitor deployed model for data and model drift

                • +
                +
              • +
              • Participate in the technical design, development, and testing of models/analysis and in the creation of user documentation and processes

              • +
              • Create and maintain ETL processes and automated dashboards that can be leveraged to find insights

              • +
              • Develop and present reporting solutions to key stakeholders and partners

              • +
              • Learn about business processes to analyze, interpret, and advise managers on analytical findings

              • +
              • Collaborate with stakeholders to ensure effective use of reporting and analysis, and provide support if needed

              • +
              • Understand and incorporate technology best practices with a primary focus on Tableau and Python

              • +
              • Diligently perform quality assurance and risk assessment guidelines to minimize operational, reputation, and legal risk

              • +
              +

              +

              What Do You Need To Succeed?

              +
                +
              • Coding experience preferably in Python (minimum 3 years)

              • +
              • Experience with developing machine learning, statistical and optimization models and creating/maintaining visualizations and dashboards in Tableau (minimum 2 years)

              • +
              • Experience in healthcare and familiarity with health data (1 year)

              • +
              • Familiar with data science project life cycle

              • +
              • Technical mindset with a degree in Computer Science, Statistics, Mathematics, Engineering, or other data science related fields, and 3-5 years of relevant experience. A graduate degree would be an asset, a combination of education and work experience will also be considered.

              • +
              • Strong problem solving and analytical skills

              • +
              • Demonstrated ability to produce meaningful results from data

              • +
              • Proven experience consolidating and analyzing data sources

              • +
              • Excellent written and verbal communication skills with experience in relaying complex concepts to non-technical users

              • +
              • Comfortable learning new applications quickly with minimal direction

              • +
              • Proven ability to work collaboratively within a cross functional team environment

              • +
              • Ability to succeed in a dynamic, fast-paced environment, and quickly find alternative solutions to business and data challenges

              • +
              • Attention to detail and in-depth planning, organizational and time management skills

              • +
              • Experience working with relational databases and creating data models with efficient design

              • +
              • Experience with AWS SageMaker would be an asset.

              • +
              +

              +

              Unique Requirements

              +
                +
              • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

              • +
              • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

              • +
              +

              +

              What\'s In It For You?

              +
                +
              • Competitive salary and bonus structure influenced by market range data

              • +
              • 20 days vacation per year and an innovative sabbatical program

              • +
              • Great Place to Work® Certified in Canada and the US - 2022

              • +
              • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

              • +
              • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid #LI-Remote

              • +
              • A friendly, collaborative and inclusive culture

              • +
              • Being part of our Analytics community, where we share best practices and broaden skill-sets

              • +
              • Flexible Benefits from the day you join to meet the needs of you and your family

              • +
              • Pension, stock and savings programs to help build and enhance your future financial security

              • +
              • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

              • +

              -

              Job Description

              -

              What is the Opportunity?

              -

              The Stress Testing & Credit Provisioning team provides Senior Management within Risk Management, Finance, Business units (including: Capital Markets, Canadian Banking, I&TS, Wealth Management, Insurance, and legal entities) and Investor Relations with expert analysis and guidance on the Banks stress testing and credit provision, includes IFRS9, CECL and Stress testing program.

              +

              The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

              -

              Team also provides support for the review & analysis of RBC’s Enterprise Wide Stress Testing (EWST) results that are used in Board level risk appetite statements.

              +

              Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

              -

              The Manager, Stress Testing & Credit Provisioning will be executing production reporting processes, evaluating SOX control and assisting to enhance process efficiencies and reduce operational risks. As the subject matter expert on IFRS9, CECL and EWST data, you will be interacting with model implementation teams to understand the data lineage for IFRS9, CECL and EWST calculations.

              +

              Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

              -

              What will you do?

              -
                -
              • Assist in the execution and maintenance of time sensitive IFRS9 and CECL live production runs
              • -
              • Assist in maintaining reporting infrastructure for the analysis of IFRS9, CECL & Enterprise-Wide Stress Testing (EWST).
              • -
              • Assist in the timely production of the Allowance Committee decks that are critical for the approval of the allowances by the Committee. The reported numbers have a direct impact on the balance sheet and the income statements of every business line across RBC.
              • -
              • Working closely with Credit Provision Analysis and Measurement (CPAM), Stress Testing (ST), IFRS9 model and IFRS9 system teams, understand & deliver the required analyses and best practices for the reporting.
              • -
              • Continuously review and streamline current reporting processes and explore new technology for the enhancement.
              • -
              • Have a strong governance control mindset and attention to detail, to ensure correct and representative information is presented for internal & external reviews of allowances.
              • -
              +

              At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

              -

              What do you need to succeed?

              -
                -
              • Undergraduate, and preferably graduate, degree in a quantitative discipline such as physics, mathematics, statistics, engineering, economics, econometrics, actuarial science, finance and/or relevant professional qualifications, with focus on quantitative statistical and analytical skills.
              • -
              • Minimal relevant business work experience in quant groups (risk, front office, etc.) in the financial industry. Academic and/or other industry experience will be considered based on relevance.
              • -
              • More than 3-5 years programming experience with tools such as SAS, Python Excel/VBA etc.
              • -
              • Knowledge of database structure and management (SQL, SAS, etc.).
              • -
              • Quick learner with outstanding conceptual, analytical, and problem solving skills, with an ability to work towards challenging deadlines and deliver under pressure.
              • -
              +

              We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

              +

              Salary Range:

              74,100/74 100 - 120,800/120 800

              +

              Job Category:

              Advanced Analytics

              +

              Posting End Date:

              28/03/2023
              ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Scientist--Health-_JR00075947?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-03-30T17:46:02.559Z,False,0,5,27,https://talenthub.vectorinstitute.ai/jobs/205321260-senior-data-scientist-health-at-sun-life-financial,,expired,2023-03-16T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +d19c0821-273a-413d-9985-42f662975762,207764695,TD Bank Group,"Senior Analyst, Campaign Analytics & Insights",on_site,"Toronto, ON",2023-03-23T17:24:02.795Z,"
              +

              Company Overview

              +
              +

              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

              +

              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

              +

              -

              Nice to Have

              -
                -
              • Professional designation in Accounting, Finance or Risk Management is preferred, but not required – e.g. CPA, CFA, or FRM etc.
              • -
              • Strong ability to communicate, verbally and in writing, complex concepts in non-technical terms to business segment Finance and senior business segment leaders.
              • -
              • Demonstrated self-starter and leader (versus solely a delegator) who can tailor analysis to required level of precision
              • -
              • A thorough understanding of relevant accounting and regulatory rules and requirements (IFRS 9, Basel) preferred.
              • -
              +

              Department Overview

              +
              +Department Overview
              The Marketing Delivery team is a central source of internal and external consumer insights and data analytics which supports both corporate and business unit strategies for TD Bank Financial Group Canada and TD Bank, America’s Most Convenient Bank.
              The Marketing Delivery team mission is to be influential change agents and consumer advocates to help deliver the better bank and to drive shareholder return through optimizing the impact of marketing. We do this by delivering hindsight (what happened), insight (why), and foresight (future actions) on how to best reach consumers, who to target, what to say, and build intelligence on the market and competitive landscape. The group seeks to deliver excellence in analytics and insights to support short-term business success as well as long-term strategy of the bank.
              The Marketing Delivery team brings together a diverse range of technical and business expertise including market research, business analytics, data science and modelling, business intelligence, data strategy and governance, data management, campaign targeting and delivery, and visualization.

              +

              Job Description

              +

              The successful candidate will be responsible for Campaign Analytics within the broader Marketing Analytics group. If you are driven by understanding data and how we can help our LOB reach the best customers and continuing to challenge the “status quo” to make our campaigns and processes better, then this is the role for you.
              Success in this role will be achieved by:
              1. Translating key business objectives into insight rich experiments that drive marketing ROI
              2. Ensuring execution (i.e., list creation) is done efficiently and with excellence
              3. Designing campaign results can be actioned by providing high value campaign reporting
              4. Work in a consultative role to provide “value-added” insights in the form of analysis, interpretation and advice of campaign reporting
              5. Your success will be predicated on your ability to forge strong partnerships, communicate effectively, deliver on-time, and continuously strive for increased efficiency.
              Responsibilities
              · Design/execute/measure high impact direct to consumer marketing experiments
              · Continuously improve campaign design and delivery by leveraging any and all analytical tools/techniques at your disposal
              · Execute with excellence
              · Manage your project pipeline to ensure agreed upon timelines can be met
              · Proactively provide analytical guidance to key stakeholders, based on deep understanding of the businesses, to understand and enhance marketing ROI
              · Maintain a culture of risk management and control, supported by effective processes and sound infrastructure

              -

              What’s in it for you?

              +

              Requirements

              +
              +

              Required Skillset
              · Familiarity with direct marketing principles (Predictive Models, Experiment Design, A/B testing, Sample Size calculations, Net Performance Measurements, etc.)
              · Good knowledge of everyday banking products and transactions; Mutual Funds, Investment Products, Savings, GICs and registered banking products
              · Technical and detail oriented
              · Knowledge of how campaigns are created by leveraging customer data from internal data warehouses through the use of programming tools such as Unica, SAS, SQL and/or Python/Pyspark
              · A project management mindset to help deliver on time to specifications
              · Team player while able to work independently
              · Pragmatic decision maker blending a mix of intellect, experience and street smarts
              · A profit driven mindset

              +

              Job Requirements
              · 1-2+ years of relevant experience in a direct marketing, consulting, analytics, or agency-side role in financial services/telecom (or other high volume direct marketing industries)
              · Significant experience with IBM Campaign (Unica)
              · Knowledge of SQL, Python/PySpark; knowledge of databases and data structures; knowledge of vendors and file format requirements
              · Experience designing and executing successful direct marketing experiments, including channel, A/B, Creative/Copy test etc…
              · Familiarity with concepts such as “next best offer” and “always-on” an asset
              · Degree in business, science, statistics, engineering, or other quantitative discipline
              · Track record of delivering successful initiatives on time and on budget

              +

              -

              We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

              -
                -
              • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
              • -
              • Leaders who support your development through coaching and managing opportunities
              • -
              • Ability to make a difference and lasting impact
              • -
              • Work in a dynamic, collaborative, progressive, and high-performing team
              • -
              • A world-class training program in financial services
              • -
              • Flexible work/life balance options
              • -
              +

              Hours

              +
              37.5

              +

              Inclusiveness

              +

              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

              -

              Job Summary

              Monitors market risk and implements risk management systems and processes to minimize any risk to the market. Applies extensive, in-depth knowledge, skills, and practices to perform complex assignments.

              Address:

              TORONTO, Ontario, Canada

              City:

              CAN-ON-TORONTO

              Country:

              Canada

              Work hours/week:

              37.5

              Employment Type:

              Full time

              Platform:

              Group Risk Management

              Job Type:

              Regular

              Pay Type:

              Salaried

              Posted Date:

              2023-05-19

              Application Deadline:

              2023-06-03
              -

              Inclusion and Equal Opportunity Employment

              -

              At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
              ​​​​​​​
              We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

              -
              -

              Join our Talent Community

              Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

              Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

              -
              ",,https://jobs.rbc.com/ca/en/job/R-0000059972/Manager-Stress-Testing-and-Impairment-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-06-05T15:52:03.314Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/228135961-manager-stress-testing-and-impairment-analytics-at-rbc,,expired,2023-05-22T15:47:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +
              ",,https://jobs.td.com/en-CA/jobs/18012596/senior-analyst-campaign-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-30T17:29:05.011Z,False,0,6,19,https://talenthub.vectorinstitute.ai/jobs/207764695-senior-analyst-campaign-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18012596/senior-analyst-campaign-analytics-insights-toronto-ca/,expired,2023-03-23T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, 290deacd-abb6-4fed-8f19-e027539fae4c,209218760,RBC,"Associate Director, Risk and Investment Analytics Product Owner",on_site,"Toronto, ON, Canada",2023-03-27T17:16:03.931Z,"

              Come Work with Us!

              At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

              Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

              Job Title

              Associate Director, Risk and Investment Analytics Product Owner

              @@ -60683,251 +68391,996 @@ d8c6a231-9d16-424f-8f4b-67c4a546f8cf,205318127,Google,"Senior Software Developin
              ",,"https://careers.google.com/jobs/results/81381699784450758-senior-software-developing-manager-infrastructure-google-cloud-data-management/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-03-23T17:25:03.142Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/205318127-senior-software-developing-manager-infrastructure-google-cloud-data-management-at-google,,expired,2023-03-16T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, -d673e5e2-ca46-49b5-a9a2-356075a87a2a,231456693,TD Bank Group,Senior Business Insights Analyst,on_site,"Markham, ON",2023-06-01T15:53:01.962Z,"
              +6806caf4-c1f3-47cb-b145-69eb6cf467eb,222290265,Scotiabank,Velocity - Data Analyst Internship/Co-Op - Fall 2023 (8 months),on_site,Canada : Ontario : Toronto,2023-05-04T17:22:02.537Z,"

              +

              +

              +

              +

              Requisition ID: 177549

              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

              +

              +

              Term: September 2023 - April 2024
              Application Deadline: 05/19/2023

              +

              +

              There's no better way to find your dream job than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

              +

              +

              The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

              +

              +

              Is this role right for you? In this role, you will:

              +
              • Be involved in the definition of business requirements and processes, ensuring that progress can be measured against planned objectives by working with different teams, and internal partners; performing analysis and completing reports to measure project success and impact to business
              • Prepare reports and dashboards to inform strategic decision-making including trending analysis, projections and forecasts utilizing statistical modelling
              • Investigate and become an expert in available data sources of data, transform and determine how they can be interpreted for analysis
              • Flex your analytical skills by identifying and analyzing business and technical requirements to create diagrams, flow charts, and documentation
              • Make impact by constantly identifying and implementing process improvements
              • Experiment & learn!
              • +
              +

              +

              Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

              +
              • You are currently enrolled in post-secondary education.
              • You love to learn and envision yourself working for an international organization that heavily invests in your future.
              • You enjoy being involved in extracurricular activities such as conferences, clubs, and hackathons.
              • You have strong written/verbal communication and project management skills.
              • You have knowledge/experience in:
              • +
              +
              • Managing process and planning, facilitating teamwork, and coordinating the execution of multiple deliverables.
              • Interpreting and consolidating large amounts of information in actionable recommendations.
              • Using sound judgment in the creation of analysis, validation, interpretation, and presentation of findings.
              • Cleaning, transforming and visualizing large data sets working with various data formats (e.g., Enterprise Data Warehouse, Unstructured logs, XML, JSON, flat files, SAS, CSV)
              • Visualization tools like PowerBI, Tableau or Olikview
              • Data Analysis/manipulation tools for working with data (e.g., SQL, DB2, MySQL, Python, R)
              • GCP (Google Cloud Platform) to implement MLOPs, analytics and data usage patterns
              • Making sense of data, creating reports, and communicating KPI’s to those who don’t speak tech
              • +
              +

              +

              What’s in it for you?

              +
              • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
              • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
              • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
              • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
              • +
              +

              +

              How do I apply?

              +

              For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationshipsover resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential.Instead,we ask that as part of your application you complete the below:

              +

              +
              1. Complete your PLUM Profile here and save as a screenshot.
              2. Complete a short one-way video interview here.
              3. Once you have completed your Plum Profile and one-way video interview, apply to the role. Reminder: when the application asks for your resume, instead upload the screenshot of your PLUM Profile!
              4. +
              +

              +

              *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

              +

              +

              +

              Location(s): Canada : Ontario : Toronto

              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

              ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Analyst-InternshipCo-Op-Fall-2023-%288-months%29-ON/569923617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-22T15:57:03.736Z,False,0,9,39,https://talenthub.vectorinstitute.ai/jobs/222290265-velocity-data-analyst-internship-co-op-fall-2023-8-months-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Analyst-InternshipCo-Op-Fall-2023-%288-months%29-ON/569923617/,expired,2023-05-04T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +1256025e-40d7-444d-8b89-ec2ea37b3201,221076253,Scotiabank,"Senior Business Analyst, FIU Strategy & Analytics",on_site,Canada : Ontario : Toronto,2023-05-01T17:22:05.753Z,"

              +

              +

              Requisition ID: 176051

              +

              Tangerine is Canada’s leading direct bank. We offer flexible and accessible banking options, innovative products, and award-winning Client service. The reason why Tangerine employees come to work each day is to help Canadians live better lives. We focus on making a difference in our communities, and that includes our own internal community. It’s important to us that our employees feel empowered and enthusiastic about belonging to our Orange culture.

              +

              +

              Purpose

              +

              The Senior Business Analyst, Strategy and Analytics reports to the Senior Manager, Strategy & Analytics. The Senior Business Analyst, Strategy & Analytics is responsible for defining, investigating, and developing solutions to support the systems used in the Tangerine GSS NS (including but not limited to the Name Screening and Case Management systems). Additionally, the role will be leading and participating in initiatives to identify and action opportunities for local improvements to productivity, decision effectiveness, and the user experience.The Senior Business Analyst will work closely with IT, Business Intelligence, AML & FIU Operations, and the Tangerine AML to ensure successful delivery of objectives.

              +

              +

              Responsibilities

              +
              • Support the ongoing and periodic evaluation of existing and new systems, tools and solutions to address changing business needs and emerging threats.
              • +
              +
              • Perform ongoing development and management of systems, rules and deployed solutions.
              • Perform the monitoring and maintenance of NS strategies to address evolving trends.
              • Institute and manage a disciplined change process for regular testing and deployment of screening rules.
              • Perform analytics and reporting to generate an accurate and insightful perspective on rule effectiveness, detection rates, false positive rates and volume.
              • Drive robust processes to enhance Systems performance.
              • Maintain thorough understanding of FIU/AML Systems capabilities, gaps and opportunities.
              • Provide analytic support in the development and implementation of strategic plans.
              • Ensure accuracy and effectiveness of dedicated systems and drive periodic enhancements as needed.
              • Execute a variety of technical testing including Business Acceptance Testing and User Acceptance Testing
              • Assist the team in proposing, creating and presenting communications to management, stakeholders, and other departments on changes introduced as a result of new initiatives
              • Maintain a thorough understanding of AML/ATF and sanctions system capabilities, gaps and opportunities
              • Other duties as assigned
              • +
              +

              +

              Project Responsibilities:

              +
              • Support the Senior Manager, Strategy and Analytics to manage requirements-related activities and deliverables throughout the project life cycle (e.g. change requests, issues, risks, schedules, status reporting etc.)
              • Conduct data mining and analyses to generate insights and intelligence to support initiatives and commitments
              • Elicit requirements using interviews, document analysis, requirements workshops, surveys, use cases, scenarios, business analysis and workflow analysis
              • Write requirements / specifications using standard templates, using natural language simply, clearly, unambiguously, and concisely
              • Assist in the development of Test Plans and documentation to support testing
              • Identify, anticipate, assess, manage and resolve issues and risks related to requirements' activities and deliverables
              • Assess project issues and identify solutions to meet productivity, quality and goals
              • Participate in regular status meetings with all stakeholders, to review project deliverables and deadlines, keeping the stakeholder’s needs and requirements continuously in view
              • Produce high quality artifacts through effective business analysis, process mapping, and requirements generation
              • +
              +

              +

              Requirements

              +
              • +Experience
                • University or College Degree or equivalent work experience
                • Minimum 3-5 years of work related experience within the Financial Services industry
                • Minimum 2 year experience in Compliance and AML/ATF
                • Experience in consumer banking products (credit, deposit and cards)
              • +
              +

              +
              • +Professional Certification
                • ACAMs certification is considered an asset
                • International Institute of Business Analysis (IIBA) certification is considered an asset
              • +
              +

              +
              • +Specialized Knowledge
                • Knowledge of Compliance and AML/ATF systems and troubleshooting experience
              • +
              +

              +
              • +Technical Skills
                • Strong and proven analytical skills
                • Strong working knowledge of data mining tools
                • Strong working knowledge of programing languages (Visual Basic, SQL, Python)
                • Strong technical solution management experience and skills
                • Demonstrated experience using the MS Office Suite, in particular MS- Excel, MS- Word and preferably MS-Visio, MS-Power BI
                • Strong business analysis skills required, including a thorough understanding of how to interpret customer business needs and translate them into application and operational requirements
                • Experience with statistical modeling and data science methods
                • Experience in business intelligence and analytics platforms
              • +
              +

              +

              +
              • +Abilities
                • Ability to work autonomously under tight timelines
                • Ability to work in a dynamic environment where processes and procedures are consistently refined
                • Strong presentation, facilitation, analysis and problem solving skills
                • Strong capability to work with senior business leaders
                • Successfully engage in multiple initiatives simultaneously
              • +
              +

              +
              • +Attributes
                • Strong verbal, written and communication skills
                • Strong attention to detail and organizational skills
              • +
              +

              Location(s): Canada : Ontario : Toronto

              +

              At Tangerine we value the unique skills and experiences each individual brings to the team, and are committed to creating and maintaining an inclusive and accessible environment. If you require accommodation during the recruitment and selection process, please let our Recruitment team know.

              ",,https://jobs.scotiabank.com/Tangerine/job/Toronto-Senior-Business-Analyst%2C-FIU-Strategy-&-Analytics-ON-M2H0A1/569849117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-22T15:57:03.736Z,False,0,1,18,https://talenthub.vectorinstitute.ai/jobs/221076253-senior-business-analyst-fiu-strategy-analytics-at-scotiabank,https://jobs.scotiabank.com/Tangerine/job/Toronto-Senior-Business-Analyst%2C-FIU-Strategy-&-Analytics-ON-M2H0A1/569849117/,expired,2023-05-01T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +27b96c0b-b232-4a39-874a-090264c07e0c,222288288,RBC,"Manager, Stress Testing Analytics",on_site,"Toronto, ON, Canada",2023-05-04T17:16:01.859Z,"
              +

              Come Work with Us!

              At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

              Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

              +

              Job Title

              Manager, Stress Testing Analytics

              +

              +

              Job Description

              +

              +

              What is the opportunity?

              +

              As part of the Group Risk Management team, the Associate Director, Stress Testing Analytics will implement stress testing components and participate in risk management analytics and processes to minimize credit risk. The ideal candidate will apply extensive, in-depth knowledge, skills, and practices to perform complex assignments.

              +

              +

              What will you do?

              +
                +
              • Develops and maintains tools used for the implementation and execution of credit risk models. These models are used in the measurement of Expected Credit Loss (ECL), Provision for Credit Losses, and RWA for internal and regulatory stress testing.
              • +
              • Execute the production of stress testing projections for internal and regulatory filings.
              • +
              • Identify ECL production challenges and conducts independent problem solving to resolve proficiently.
              • +
              • Communicate results and analyses to management and key stakeholders.
              • +
              +

              +

              +

              What do you need to succeed?

              +

              +

              Must Have:

              +
                +
              • Experience with SAS & Python programming
              • +
              • Experience with data analytics
              • +
              • Knowledge of credit products in the financial industry
              • +
              +

              +

              Nice-to-Have:

              +
                +
              • Familiarity with statistical modelling of credit products
              • +
              • Experience with stress testing programs in the financial industry
              • +
              +

              +

              +

              What is in it for you?

              +

              We thrive on the challenge to be our best, progressive thinking, to keep growing, and working together to build and deliver trusted reporting to help our stakeholders succeed and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

              +
                +
              • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation
              • +
              • Ability to make a difference and lasting impact
              • +
              • Work in a dynamic, collaborative, progressive, and high-performing team
              • +
              • Opportunities to take on progressively greater accountabilities
              • +
              +

              +

              +

              Job Summary

              Monitors market risk and implements risk management systems and processes to minimize any risk to the market. Applies experience and seasoned knowledge, skills, and practices to perform a variety of assignments.

              Address:

              TORONTO, Ontario, Canada

              City:

              CAN-ON-TORONTO

              Country:

              Canada

              Work hours/week:

              37.5

              Employment Type:

              Full time

              Platform:

              Group Risk Management

              Job Type:

              Regular

              Pay Type:

              Salaried

              Posted Date:

              2023-05-01

              Application Deadline:

              2023-05-20
              +

              Inclusion and Equal Opportunity Employment

              +

              At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
              ​​​​​​​
              We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

              +
              +

              Join our Talent Community

              Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

              Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

              +
              ",,https://jobs.rbc.com/ca/en/job/R-0000057612/Manager-Stress-Testing-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-05-22T15:52:04.312Z,False,0,3,20,https://talenthub.vectorinstitute.ai/jobs/222288288-manager-stress-testing-analytics-at-rbc,,expired,2023-05-04T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,No Degree,New Posting, +ab9f8281-9782-4594-88d9-ebbcc2a6f46c,222290808,TD Bank Group,Software Engineer Intern/Co-op,on_site,"Toronto, ON",2023-05-04T17:24:07.667Z,"

              Company Overview

              -

              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

              -

              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

              +

              All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

              +

              Why TD?

              +

              TD’s Colleague Promise: A better you. A better us.

              +

              A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

              Department Overview

              -

              We can’t afford to be boring. Neither can you. The scale and scope of what TD does may surprise you. The rapid pace of change makes it a business imperative for us to be smart and open-minded in the way we think about strategy. TD’s strategy and business teams become more intertwined as new opportunities present themselves. This new era in banking does not equal boring. Not at TD, Not at Risk, Not at Fraud strategy, anyway.

              -

              The Enterprise Protect is an enterprise-level body that strives to protect TD Bank Group customers, shareholders and employees from financial crimes and fraud. Aligned with TD strategy and risk appetite, Enterprise Protect develops and evolves enterprise policies, advanced analytics capabilities and operational processes to improve governance, oversight, and collaboration between fraud management and other control functions within the Bank.

              -

              The Canadian Performance Management (CPM) team operates within Enterprise Protect in a fast-paced environment requiring both strategic and tactical responses to changing fraud patterns and provides a unique opportunity to apply critical thinking and leadership skills in an innovation centric environment.

              +

              Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

              +

              Our Co-op/Intern Programming is offered with select Co-op and Internship roles, and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

              +
                +
              • Leadership talks with key Leaders from across the organization
              • +
              • Lunch and Learns on topics such as Innovation
              • +
              • Diversity and Inclusion and Personal Branding and so much more
              • +

              Job Description

              -

              This role will be responsible for developing, implementing and monitoring strategies to manage evolving fraud trends, taking into consideration TD’s risk appetite and customer and operational experience. The Strategist should display a deep fraud and process expertise, and to leverage that knowledge to:

              +

              You will have the opportunity to work with one of our various teams within the Technology group. From Day 1, you will be treated as an equal member of the team and given meaningful assignments to help us deliver improvements to our technology platforms. This could include platforms such as core banking, customer servicing, or customer engagement.

              +

              Job responsibilities for a Software Engineer Intern/Co-op may vary by area. This may include, but is not limited to the following:

                -
              • anticipate and explain potential fraud risks associated with strategic initiatives across TD
              • -
              • help design policy, process or strategic changes to enable the bank to safely deliver its strategic roadmap
              • -
              • provide deep fraud and process expertise into solving larger, Fraud-driven strategic initiatives
              • -
              • identify emerging fraud trends and develop defenses against emerging and in-market fraud trends
              • -
              • understand and actively managing the operational impacts of our fraud defense strategies
              • +
              • Assist in the development/maintenance of comprehensive processes for prevention of issues and participate in problem determination and timely resolution of incidents applying appropriate quality measures
              • +
              • Work with business partners to define and develop detailed business requirements
              • +
              • Design, develop and deploy system enhancements
              • +
              • Perform Unit and System Integration testing
              • +
              • Document system deployment plans for system implement and code deployment
              • +
              • Participate in Proof of Concept (POC) on new technologies and document findings
              • +
              • Provide recommendations with full usability analysis.
              • +
              • Conduct program/ system research, analysis, detailed design and problem resolution
              • +
              • Respond to business and users’ enquiries on business applications
              • +
              • Troubleshoot and determine root cause and resolution for application defects
              • +
              • Ensure defect free programming by testing and debugging using available/appropriate tools and participate in reviewing peer coding
              • +
              • Apply Software Development Life Cycle (SDLC) and Project Management Methodology (PMLC) to complete specific development tasks for projects.
              • +
              • Adhere to standard security coding practices to ensure application is free of most common coding vulnerabilities
              • +
              • Continuously enhance knowledge/expertise and keep current with leading-edge technologies trends/developments and develop expertise in TD services, applications, infrastructure, analytical tools and techniques that can contribute to effective solution development/delivery
              -

              The successful candidate will work collaboratively with a diverse team of operational agents, Fraud solution developers, data scientists, business insights analysts and subject matter experts and applies fraud business expertise leveraging advanced tools and detection systems to manage risk appropriately. The incumbent will be accountable for loss and customer experience targets.

              -

              Accountabilities:

              -

              Fraud Management

              +
              +

              +

              Requirements

              +
                +
              • Currently enrolled in a relevant technology programs, such as Computer Science, Engineering, Information Technology Management, Financial Analysis and Risk Management, Computing, etc.
              • +
              • Understanding of Data Structures and Algorithms
              • +
              • Understanding of OOP concepts and SOLID Principles
              • +
              • Strong coding, debugging, and problem-solving skills
              • +
              • Demonstrate understanding of at least one programing language and relational databases
              • +
              • A thirst for constantly exploring emerging technology
              • +
              • Familiarity and strength in any of the following: C, C++, C#, Object C, Java, Java Script, Python, NodeJS, Ruby, SQL, J2EE, Web Services, .NET, VBA, FPML, XML, HTTP, WSDL, Linux, Unix, Perl, Oracle, AIX, Windows, DB2, FIX Protocol, MS SQL, Angular, Type Script and React JavaScript libraries
              • +
              • Familiarity with source code management such as GIT
              • +
              • Familiarity with Jira and Confluence
              • +
              • Familiarity with cloud technologies
              • +
              • Skills that would be an asset but not required: Practical experience/knowledge of Data Generation, Data Masking, Data sub setting, Data Archiving, Data Virtualization, Data modelling, Database DevelopmentADDITIONAL INFORMATION
              • +
              +

              +

              Additional Information

              +
              +

              Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.

              +

              Early Talent Requirements

                -
              • Accountable for fraud loss targets and the customer experience
              • -
              • Reviews daily fraud attacks to create segmentation and develop/implement fraud strategies while balancing the impact to the operational teams and customer experience
              • -
              • Strategizes on adjustments to shifting network rules, liability requirements or other exogenous factors
              • -
              • Owns the strategy design and configuration in all fraud prevention platforms (e.g. Falcon, TSYS, FIS, SQN, PRM, Citadel, DPS, VCas, Avant, Experian, Transunion), in alignment with the Change Management protocols
              • -
              • Supports case valuation and prioritization to optimize fraud management
              • -
              • Are a subject matter expert on the end-to-end operational process, transaction liability and regulatory requirements
              • -
              • Provide ad-hoc analysis to support decision-making at the executive level
              • -
              • Design champion / challenger strategies that lead to ongoing learning and improvement
              • -
              • Expected to leverage that subject matter expertise to independently investigate new, high-risk exposures under very tight timelines
              • -
              • Produce timely diagnostics to identify system, strategy and operational issues
              • -
              • Participates in defect analysis to identify and remediate coverage gaps
              • -
              • Provides end to end fraud cycle support to all strategy teams for advanced technical builds and consultation for continuous improvement
              • -
              • Identify, track, and provide solutions to ongoing fraud vectors and cross-portfolio threats
              • -
              • Think forward and provide early gap mitigation to emerging threat vectors globally
              • +
              • This position is a 4-month work term and will commence September 5th – December 22nd, 2023.
              • +
              • Applications must include a resume (maximum of 2 pages).
              • +
              • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
              • +
              • TD requires employees to reside in Canada where the role is located. Successful candidates are expected to arrange relocation to one of our Toronto offices in a hybrid model (1-3 days per week in office).
              -

              Partner Support

              +

              Assigned Line of Business Requirements

              +
              • Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting
              +
              +

              +

              Start Date

              +
              – Fall
              +

              +

              Inclusiveness

              +

              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

              +

              +
              ",,https://jobs.td.com/en-CA/jobs/18300603/software-engineer-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-25T20:59:00.000Z,False,0,8,52,https://talenthub.vectorinstitute.ai/jobs/222290808-software-engineer-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18300603/software-engineer-intern-co-op-toronto-ca/,expired,2023-05-04T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +1375d8ad-6510-4d44-a57d-d20befa73296,228138971,NVIDIA,AI Developer Technology Engineer,on_site,"Ontario, Canada",2023-05-22T16:15:05.413Z,"
              +

              NVIDIA is looking for a passionate, world-class computer scientist to work in its Compute Developer Technology (Devtech) team as an AI Developer Technology Engineer. Artificial intelligence, the dream of computer scientists for over half a century, is no longer science fiction. And in the next few years, it will transform every industry. Soon, self-driving cars will reduce congestion and improve road safety. AI travel agents will know your preferences and arrange every detail of your family vacation. And medical instruments will read and understand patient DNA to detect and treat early signs of cancer. Where engines made us stronger and powered the first industrial revolution, AI will make us smarter and power the next. What will make this intelligent industrial revolution possible? A new computing model — GPU deep learning — that enables computers to learn from data and write software that is too complex for people to code.

              +

              +

              What you will be doing:

                -
              • Works with business partners to understand new intent, and to identify the incremental fraud risks associated with that intent
              • -
              • Collaborates with business partners to develop solutions that minimize fraud risk while enabling business partners to achieve bank strategic priorities
              • -
              • Occasionally provides IT release support to ensure projects reliably deliver on fraud requirements
              • -
              • Support the continuous improvement agenda for our operational partners
              • -
              • Maintain strong relationships with internal stakeholders such as Fraud Operations, Internal Business Partners, Vendor Managers etc.
              • -
              • Act as a subject matter expert and represents the team or bank at project meetings or industry forums
              • +
              • Study and develop cutting-edge techniques in deep learning, graphs, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures.

              • +
              • Work directly with key customers to understand the current and future problems they are solving and provide the best AI solutions using GPUs.

              • +
              • Collaborate closely with the architecture, research, libraries, tools, and system software teams at NVIDIA to influence the design of next-generation architectures, software platforms, and programming models.

              • +
              +

              What we need to see:

              +
                +
              • A Masters degree or PhD in an engineering or computer science related discipline and 3+ years of relevant work or research experience.

              • +
              • Strong knowledge of C/C++, software design, programming techniques, and AI algorithms.

              • +
              • Firsthand work experience with parallel programming, ideally CUDA C/C++.

              • +
              • Strong communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.

              • +
              • Some travel is required for conferences and for on-site visits with developers.

              • +
              +

              +

              NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous computer scientist with a genuine passion for parallel computing? If so, we want to hear from you. Come, join our AI Compute DevTech team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

              NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

              +

              +

              +

              +

              #deeplearning
              ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Germany-Munich/AI-Developer-Technology-Engineer_JR1966573,feed-importer@jobboard.io,,,,2023-05-25T16:20:03.878Z,False,0,3,38,https://talenthub.vectorinstitute.ai/jobs/228138971-ai-developer-technology-engineer-at-nvidia,,expired,2023-05-22T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Product Development),Mid-Senior Level,Masters Degree,New Posting, +7d60b21a-da82-4c1d-a8a6-aa97929a82b1,226184567,Clearpath,Perception Autonomy Developer Co-op,on_site,"Ontario, Canada",2023-05-16T16:15:04.932Z,"

              Description

              +

              Position: Perception Developer Co-op
              Location: Based in Kitchener-Waterloo, Ontario
              Duration: Fall 2023
              Study Level: Senior
              Area of Study: Computer Science, Software Engineering or Related Field
              Division: OTTO Motors

              +

              About OTTO™ Motors (Division of Clearpath Robotics)

              +

              OTTO™ Motors is a growing, disruptive company, making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self-driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit www.ottomotors.com.

              +

              About the Job

              +

              We\'re looking for a driven, resourceful and motivated candidate for the Perception Developer Co-op position. This person will help develop the next generation of perception and machine learning algorithms to tackle the toughest challenges in localization, mapping, object detection and computer vision.

              +

              The Perception Team’s primary responsibility is the development of the core robotics software responsible for environmental sensing and understanding on all of our vehicles. As a Perception Developer you will work on the development and testing of the core robotics software that drives vehicles at sites all around the world. You will be responsible for evaluating state-of-the-art ideas from academia and industry, and taking these ideas out of the lab and into the real world, identifying opportunities to improve, and developing high-performance software to run in real time on robots.

              +

              Your primary responsibilities will be:

              +
                +
              • Creating robust innovative solutions to the problems of robotic perception
              • +
              • Developing custom perception and machine learning algorithms and systems related to localization, mapping, object detection and tracking, computer vision, and more
              • +
              • Evaluating new sensing technology and robotic platforms
              • +
              • Assisting with concept development for new products and projects
              • +
              • Supporting the deployment and testing of robotic systems
              • +
              +

              Skills and experience:

              +
                +
              • Practical and theoretical knowledge in at least one or more areas of: state estimation, computer vision, SLAM, machine learning, object detection and tracking, robotic perception.
              • +
              • Strong software development skills in modern C++ and Python.
              • +
              • Proficiency with Linux
              • +
              • Understanding of software development workflows, life cycles and development methodologies and tools.
              • +
              +

              Bonus points for:

              +
                +
              • Hands-on experience with real world autonomous systems.
              • +
              • Experience writing efficient, high performance code.
              • +
              • Experience with ROS, Gazebo, OpenCV and PCL.
              • +
              • Experience with machine learning frameworks such as Tensorflow, PyTorch and TensorRT.
              • +
              • Familiarity with linear algebra and nonlinear optimization techniques and libraries such as Ceres, GTSAM, g2o and Eigen.
              • +
              +

              Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, gender identity/expression, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

              ",,http://jobs.jobvite.com/clearpath/job/oG8bnfw6,feed-importer@jobboard.io,,,,2023-06-15T21:16:05.117Z,False,0,7,40,https://talenthub.vectorinstitute.ai/jobs/226184567-perception-autonomy-developer-co-op-at-clearpath,,expired,2023-05-16T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Manufacturing ,Senior Level,Bachelors Degree,New Posting, +6301cbae-26a6-4e12-b4f1-d84fcbde3d76,232858629,CN,"Expert, Data Developer",on_site,"Ontario, Canada",2023-06-05T16:15:04.314Z,"
              +

              +

              At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

              Role description:

              The Data Movement Service Expert is responsible for designing, building, managing, and optimizing domain-agnostic batch and stream data pipelines, moving them effectively from the source/system of record, shaping the enterprise Source Data Product, and delivering it for consumption. This includes defining solution score and plan architecture, collaborating with Enterprise Architecture and other solution architects, and providing the direction in the delivery of the solution to designers & integrators. More precisely, the Expert builds the solution, drives alignment of the proposed solution with the Enterprise & Domain strategies, master plans & roadmaps, and manages risk mitigation, and as required drives issue escalation & resolution related to the architecture. The experts sign off on architecture where he/she does have the delegation authority and governs the implementation of the architecture during the design phase.

              Main Responsibilities:

              Data Engineering

              · Ensure optimal data delivery architecture and processes are consistent throughout ongoing projects.

              · Optimize CN’s data architecture to support the next generation of products and data initiatives.

              · Build, manage, and optimize data pipelines, moving them effectively into production for key data and analytics consumers such as business or data analysts and data scientists.

              · Build data and domain event models, implement business rules, and engineer scalable data pipelines.

              · Ensure compliance with data governance and security requirements while creating, improving, and operationalizing integrated and reusable data pipelines.

              · Enable faster data access, integrate data reuse, and improve time-to-solution for data and analytics initiatives.

              · Integrate analytics and data science results with business processes.

              · Promote effective data management practices.

              Modernization

              · Work with peers to improve architecture processes and deliverables with the trending technology.

              · Participate in yearly product health assessment.

              · Maintain solution architecture roadmap based on Enterprise Architecture & Business strategic direction.

              Technical Leadership and Governance oversight

              · Accountable to lead communication and to drive escalation & resolution with Stakeholders.

              · Ensuring Standards are being published and evangelized.

              · Ensuring the Enterprise Governance principles are being applied.

              Requirements

              Education & Experience

              · Minimum 10 years of overall work experience (including in OT, IT, Development engagements, and Data Integration).

              · Minimum 2 years demonstrating technical leadership qualities and/or overseeing deliverables

              · Minimum 2 years in a similar role.

              · Bachelor\'s degree in Computer science, Information Systems, Engineering or equivalent degree or relevant work experience.

              Skills/Knowledge

              · Strong architecture knowledge within numerous fields: business, application, information, and technology architecture facets.

              · Hands-on experience in at least one of the Data Integration development technologies (Mulesoft, Kafka, Qlik Replicate, Azure Data Factory).

              · Strong Informatica Intelligent Cloud Services (IICS) or IBM DataStage experience will also be considered.

              · Good understanding of application design patterns (Dependency Injection, Microservices, and others) and modern platforms (API/Microservices, Mobile, MBaaS, Mulesoft, Container).

              · Knowledge and working experience in Google Cloud Platform – Big Query, Cloud SQL, Dataproc, Cloud Storage.

              · Comparable working experience in Azure Ecosystem will also be considered.

              · Strong experience with Agile/Scrum/Safe delivery methodology.

              · Strong ability to bring a complex concept to actionable architecture deliverables.

              · Strong capacity to learn new concepts and technology quickly with the capacity to coach, mentor, and develop others by teaching them.

              · Strong ability to taking hard decisions by understanding and explaining trade-offs between business enablement and economic impacts.

              · The role requires people skills to influence and orient business and technical audiences toward a common goal that is satisfying all stakeholders.

              · Very good ability to build collaborative cross-functional relationships, pulling together and maintaining a cohesive and high-functioning team.

              · Strong ability to lead the team on a mandate and to lead decisions.

              · Ability to deliver mandate with great autonomy – self-driven.

              · Excellent written and oral communication skills.

              About CN

              CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

              +

              +

              +

              +

              CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

              +
              ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/11006?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-06-16T02:23:02.313Z,False,0,1,35,https://talenthub.vectorinstitute.ai/jobs/232858629-expert-data-developer-at-cn,,expired,2023-06-05T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, +be12ff92-4046-44c5-956d-68f8d70172da,232858627,TELUS,Senior Technical Product Manager - SmartHome Data and AI Solutions,on_site,"Ontario, Canada",2023-06-05T16:15:04.145Z,"
              +
              +

              +
              +

              +

              Our team and what we’ll accomplish together:

              +

              +

              We’re a Platform Product Management team on a mission to build an innovative platform that empowers companies globally to simplify, unify, and transform the smart living experience for their customers. We focus on enabling our Platform as a Service (PaaS) customers to offer differentiated SmartHome products and rapidly scale in their market. Your expertise in platform product management and deep understanding of the smart home market will play a critical role in shaping the future of smart living globally.

              +

              +

              Press Release: Redefining the connected home

              +

              +

              What you’ll do:

              +

              +

              You will be at the forefront, enabling contextual & personalized product experiences through the power of Artificial Intelligence (AI), Machine Learning (ML). You will product manage our platform’s data offerings including our AI/ML pipeline, data insights and reporting capabilities for our PaaS clients and core data infrastructure. You will collaborate closely with cross-functional teams, including engineering, privacy, regulatory, mobile app design, marketing, and operations, to create and manage the AI/ML and Data Lake roadmap. As part of an agile development program you will bring new features and capabilities to market by developing internal and external relationships that help drive detailed requirements and prioritizing the backlog for your development squad.

              +

              +

              Here’s how:

              +

              +
                +
              • Develop our approach to data and AI/ML capabilities in alignment with the overall vision, goals, and opportunities
              • +
              • Collaborate with stakeholders to define data lake & AI/ML requirements, roadmap, and priorities
              • +
              • Partner closely with your squads from ideation and conceptualization to launch and post-launch optimization, ensuring timely delivery of high-quality platform services
              • +
              • Collaborate with engineering teams to translate platform requirements into technical specifications, ensuring the delivery of scalable, secure, and reliable PaaS solutions
              • +
              • Drive innovation and differentiation by identifying emerging trends, technologies, and market opportunities in the AI/ML, SmartHome and PaaS space
              • +
              • Define and monitor key performance indicators (KPIs) to evaluate the success and impact of your portfolio, making data-driven recommendations for continuous improvement
              • +
              • Collaborate with operations teams to ensure seamless integration, deployment, and ongoing maintenance of the PaaS platform across global markets
              • +
              +

              +

              +
              +
              +
              +

              +
              +

              +

              What you bring:

              +

              +
                +
              • Significant Product Management experience, ideally with SmartHome, IoT and/or Platform as a Service
              • +
              • Experienced working with agile teams as a SCRUM Product Owner and using Jira, Confluence or equivalents
              • +
              • Technology background with understanding of: IoT, Artificial Intelligence, Machine Learning, API and others
              • +
              • Understanding of data governance, regulatory & privacy best practices
              • +
              • Recognized for your thought leadership, problem-solving skills and willingness to take on new initiatives
              • +
              • An expert storyteller who can craft messages that land with any audience including presentations to senior leadership
              • +
              • Known for your excellent communication, and ability to foster an environment of collaboration, and idea sharing
              • +
              +

              +

              Great to have:

              +

              +
                +
              • Bachelor\'s degree in Business, Data Science or AI/ML, Computer Science, Engineering, or a related field, advanced degree preferred
              • +
              • AWS certifications
              • +
              +

              +

              If you are passionate about creating innovative products that help to solve real-world problems, and have a track record of delivering successful technical products and services, then we encourage you to apply for this exciting opportunity!

              +

              +

              +
              +
              +
              ",,https://careers.telus.com/job/Toronto-Senior-Technical-Product-Manager-SmartHome-Data-and-AI-Solutions-ON/570913517/,feed-importer@jobboard.io,,,,2023-06-16T02:23:02.313Z,False,0,2,33,https://talenthub.vectorinstitute.ai/jobs/232858627-senior-technical-product-manager-smarthome-data-and-ai-solutions-at-telus,,expired,2023-06-05T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, +a68a0fd4-23cb-4a93-99f5-9756d406d8ae,231466649,TELUS,Senior API & Data Management Developer,on_site,"Ontario, Canada",2023-06-01T16:15:03.263Z,"
              +
              +

              Description

              +
              +

              +

              Join our team

              +

              +

              The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions. We are doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI tooling and high quality data. We have a data-product and data platform oriented culture and we are always keeping an eye on the horizon, preparing for the next big thing.

              +

              +

              We are entrepreneurial and passionate, believers that so much more is possible and can be achieved by creating value and great outcomes for our customers, team members, communities, and environment and that through meaningful transformation we can integrate dynamic change in our professional lives.

              +

              +

              Our team members appreciate diversity of thinking, ideas and experiences, and are always learning, experimenting and applying tuition value into everything we do.

              +

              +

              The impact you’ll make and what we’ll accomplish together

              +

              +

              As an API & Data Management Developer in the Metadata Management Program, you’ll contribute to the design, development and support of a variety of integration and process automation techniques to ensure accurate ingestion of technical metadata from many source systems. You will design and develop APIs to enable programmatic consumption of metadata by consumers external to the metadata management platform. In addition you will ensure reliable and consistent processing to our Collibra cloud platform and automate information lifecycle management processes using web enabled workflows.

              +

              +

              As a trusted technical expert, you will collaborate with various business units and demonstrate thought leadership when sitting at the intersection between privacy, ethics, technology, data and consumers to ensure it is leveraged in a respectful manner while continuing to advance our reputation of being trustworthy through transparent communication.

              +
              +
              +
              +

              Here’s How

              +
              +

              +
                +
              • Work with business stakeholders on the adoption and onboarding of the TELUS Metadata Management Tool powered by Collibra (training and technical support)
              • +
              • Collaborate with business stakeholders to define integration approaches, identify the best techniques, ensure capture and storage of all available metadata, ensure durable API processing is available to subscription customers
              • +
              • Support and maintain the API enablement of the TELUS Metadata Management Tool powered by Collibra through the entire lifecycle from design to deployment within the TELUS cloud environment
              • +
              • Work with the supporting teams, organizations and vendors to provide updates to existing deployed technologies and collect information from production systems for analysis
              • +
              • Define, enable, test and automate scripts for integration and process automation activities including documentation, work products and team presentations as well
              • +
              • Develop test strategies and site reliability engineering measures for data products and solutions
              • +
              • Participate in agile development scrums and solutions reviews
              • +
              • Lead resolution of critical operations issues including post-implementation reviews
              • +
              • Contribute to the strategic direction and evolution of TELUS Enterprise Metadata & Data Quality Management application
              • +
              +

              +

              +
              +
              +
              +

              Qualifications

              +
              +

              +

              You are the missing piece of the puzzle

              +

              +
                +
              • You are sought out for your strong understanding of Metadata Management, Data Quality, Data Lineage and Data Management
              • +
              • You are respected for your knowledge of Solution Development and Data Management Lifecycles
              • +
              • You are recognized for your understanding of integration patterns including RESTful architecture and patterns, APIs and event based processing
              • +
              • You are hands on in Windows Operating Systems, Unix, Linux, JSOn, Yaml, Swagger and with GCP Kubernetes (GKE), GCP Development and deployment using a CI/CD pipeline including Git, terraform, cloud build and deploy
              • +
              • You are commended for your expertise with Collibra - including managing system activities, tenant administration, user groups creation etc
              • +
              • You are recognized for your understanding of and experience with programming in JAVA especially Springboot or equivalent, with Collibra and Collibra APIs or GCP SDK experience
              • +
              • You are recognized for your understanding of and experience with Oracle, SQL server, GCP BigQuery,PostgreSQL,and NoSQL
              • +
              • You are an expert communicator and strategic thinker, able to provide a consultative approach in alignment with the Telco Management Industry Framework
              • +
              • You are an excellent and effective presenter able to communicate ideas in a clear and concise manner
              • +
              • You are an effective influencer and negotiator, able to be persuasive while upholding commitments to our customers, stakeholders and TELUS’ commitment to integrity
              • +
              • Fluency in speaking, reading and writing in English
              • +
              • 4+ years Data Engineering experience / 2 year data solution architecture and design
              • +
              +

              +

              Great-to-Haves

              +

              +
                +
              • University degree in computer science and/or 5 years of working experience in Information Management
              • +
              • Demonstrable DAMA international BOK Framework knowledge and/or application
              • +
              • Demonstrated TM Forum Frameworxs knowledge
              • +
              • Fluency in speaking, reading and writing in French
              +

              +

              #LI-REMOTE

              +
              +
              ",,https://careers.telus.com/job/Toronto-Senior-API-&-Data-Management-Developer-ON/568225417/,feed-importer@jobboard.io,,,,2023-06-16T02:23:02.313Z,False,0,2,18,https://talenthub.vectorinstitute.ai/jobs/231466649-senior-api-data-management-developer-at-telus,,expired,2023-06-01T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, +f2e153de-f85a-4ea0-b61f-c5e3abf01ed9,229115593,OMERS,BI Specialist (6-Month Contract),on_site,"Ontario, Canada",2023-05-25T16:15:03.420Z,"
              We are looking for a BI Specialist with Azure Data Engineering experience to join our team. As a key member of the Enterprise Data and Advanced Analytics team, this role is instrumental in enhancing data & analytics capabilities by championing industry best practices and delivering high quality reports and training to enhance business decision making. They help translate complex solutions to digestible business-centric outcomes and will do so by building interactive data visualizations using Power BI and sophisticated data models.

              They will work with business-unit leaders to identify and prioritize problems that analytics is suited to solve and help identify the data (internal or external) needed to produce the most useful insights. In addition to being responsible for end-to-end solutions that business users can execute on, they also work towards driving adoption among business users. The individual will support and collaborate with data engineers, data scientists and business users and engage in technical support, research and knowledge sharing through the implementation lifecycle of projects and solutions. The ideal candidate is one that strives to evolve through their career and transition into a data scientist role in the near future by taking advantage of the tremendous learning and collaboration opportunity this role provides.

              +

              +

              Key Responsibilities:

              +
                +
              • Designing and building interactive insightful data products using Power BI, ML and Azure
              • +
              • Developing and monitoring Azure data pipelines, Power BI Premium Dataflows to gather, transform and democratize structured and unstructured data assets
              • +
              • Deploying ETL pipelines to achieve a high level of reliability, scalability, and security.
              • +
              • Designing and developing ETL pipelines to achieve a high level of reliability, scalability, and security. Sourcing, transforming, and delivering structured and unstructured assets for use in Azure Synapse Analytics, Azure Data Factory, SQL Server, Azure Data Lake
              • +
              • The candidate should have a strong command of Pyspark, a Python library for distributed data processing and analysis
              • +
              • Knowledge of Postman, the candidate should be able to effectively design, test, and debug APIs, ensuring their functionality and reliability within our software ecosystem
              • +
              • The candidate should have experience in creating dataflows using Azure Data Factory and familiarity with the Medallion Architecture is highly desirable
              • +
              • The candidate should be well-versed in the concepts and techniques of the Kimball Methodology, which emphasizes building data warehouses that are optimized for business intelligence and reporting. Proficiency in dimensional modeling, including the creation of star schemas and snowflake schemas, is essential
              • +
              • The ideal candidate will have the ability to document technical specifications, workflows, and guidelines, ensuring clear and concise communication across the team and stakeholders
              • +
              • The ideal candidate will possess strong communication and leadership skills to guide and support the team in adopting and implementing industry-leading data engineering practices
              • +
              • Identifying, defining, and implementing opportunities for enhancing existing processes
              • +
              • Defining and implementing technical test plans and perform unit and integration testing
              • +
              • Operating in an Agile development environment
              • +
              • Managing change and communicating impacts to stakeholders and fellow team members
              • +
              • Leading multiple projects simultaneously and ensuring on-time delivery
              • +

              -

              Requirements

              -
              -
              +

              Qualifications:

                -
              • Undergraduate degree from a technical domain (e.g. finance, engineering, mathematics/statistics computer science), preferably from a STEM program
              • -
              • 2+ years’ experience in an analytical capacity
              • -
              • Experience using analytical software tools such as Python, R, SQL, Tableau and Excel for data analysis, automation, and reporting
              • -
              • In-depth knowledge of data science tools such as NumPy, pandas, matplotlib, scikit-learn/TensorFlow/Keras or equivalent
              • -
              • Understanding of machine learning methods with experience in deployment and implementation
              • -
              • Experience with automation tools and proven implementation record
              • -
              • Ability to quickly and independently structure and deliver on new problems not previous tackled by the bank
              • -
              • Demonstrated analytical, modeling and problem solving skills
              • -
              • Creative, Critical, Conceptual thinker, ability to wade through data and arrive at conclusions
              • -
              • Ability to communicate strategy analysis to both technical and non-technical team members, either verbally or via documentation
              • -
              • Ability to take initiative and work independently under tight timelines
              • +
              • +Experience. 5+ years solving sophisticated technical data projects using the Microsoft Azure data stack is required
              • +
              • +Industry Knowledge. The ability to quickly propose Azure Data Platform solutions by recalling the latest standard processes learned from MVP & Product Team articles, MSFT documentation, whitepapers, and community publications is required
              • +
              • +Relationship Building. A proven track record of building deep technical relationships. Experience in setting expectations across various partners.
              • +
              • +Problem-Solving. Must be able to trace data lineage / workflows and resolve technical issues with minimal supervision. Demonstrated proficiency in understanding and implementing business workflows is a plus.
              • +
              • +Teamwork. Motivated and keen to work in a collaborative environment with a focus on team success over and above individual success.
              • +
              • Breadth of technical experience and knowledge across the Azure Data Platform, with depth Domain Expertise in two or more of the following Data Platform resources is required:
                  +
                • Azure Databricks using PySpark
                • +
                • Azure Synapse & Azure Data Factory
                • +
                • SQL Server Data Tools
                • +
                • Azure Machine Learning
                • +
                +
              • +
              • Excellent written, verbal, and presentation skills targeted at all levels of the organization
              +

              +

              +

              +

              +

              Our story:

              +

              Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

              +

              +

              OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

              +
              ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/BI-Specialist--6-Month-Contract-_JR-4967?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-06-16T02:23:02.313Z,False,0,4,39,https://talenthub.vectorinstitute.ai/jobs/229115593-bi-specialist-6-month-contract-at-omers,,expired,2023-05-25T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, +a3c9ee99-ed43-49cd-9063-3e92a0ff49e6,235578686,Scotiabank,"Manager, Technical Business Analyst",on_site,Canada : Ontario : Toronto,2023-06-12T15:52:02.259Z,"

              +

              +

              +

              +

              Requisition ID: 178610

              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

              +

              +

              Purpose
              Contributes to the overall success of the Data Office in Canada ensuring specific individual goals, plans and initiatives are executed / delivered in support of the team’s business strategies and objectives. The main function of the Manager, Technical Business Analyst role is to support investigation, development, testing and operationalization of data solutions related to strategic goals of the Data Office. This role ensures all activities are conducted in compliance with enterprise data standards, policies and procedures.

              +

              +

              Accountabilities
              • Provides input to end-to-end data flows and lineage from capture at source, to storage, to delivery and its business intent at each stage (i.e. capture, transformation, fragmentation, editing)
              • Performs any necessary data mapping and data lineage activities and documents information flows to support specific business requirements
              • Performs data profiling, analyzes and communicates results in support of data quality processes
              • Builds the metadata model and business glossary by gathering information from multiple sources: business users, existing data sources, databases and other relevant documents and systems
              • Participates in knowledge transfer within the team and business units and identifies and recommend opportunities to enhance productivity, effectiveness and operational efficiency of the business unit and/or team
              • Monitors project progress by tracking activity; resolving problems; publishing progress reports; recommending actions.
              • Prepares technical reports by collecting, analyzing, and summarizing information and trends
              • Assesses, researches, analyzes, and documents project needs and outcomes by selecting the appropriate information gathering and/or modelling technique to elicit requirements

              +

              +

              Experience
              • Understanding of data components and can trace data elements at origination and as they move between systems including any transformations
              • Strong business acumen, data analysis, metadata documentation, and data quality controls skills specifically with respect to analyzing business process controls, sourcing and provisioning of lineage, and identifying data quality issues and proposing remediation steps
              • Very detail oriented and skilled in summarizing and gleaning insights from large amounts of information
              • Self-motivated to solve problems and able to work collaboratively with other team members
              • Strong oral and written communication skills and comfortable presenting to a variety of audiences

              +

              +

              Qualifications
              • Strong technical education background, majoring in fields that require a high degree of analytical skills, such as Engineering, Computer Science, Physics, Math, Statistics or related
              • Strong math, analytical, and business knowledge
              • Knowledge of some sort of programming language
              • Experience with relational database (SQL) or NoSQL storage systems
              • Good knowledge of business analysis processes and frameworks with experience documenting process and data flows using tools like Microsoft Visio and IBM Blueworks

              +

              +

              +

              Location(s): Canada : Ontario : Toronto

              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

              ",,https://jobs.scotiabank.com/job/Manager%2C-Technical-Business-Analyst/570818317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-15T15:57:04.299Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/235578686-manager-technical-business-analyst-at-scotiabank,https://jobs.scotiabank.com/job/Manager%2C-Technical-Business-Analyst/570818317/,expired,2023-06-12T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +efd6608b-08b0-45c0-98d0-f1caca593a30,216105430,CIBC,"Associate, Equity Research, Capital Markets.",on_site,"Ontario, Canada",2023-04-17T17:06:03.897Z,"
              +

              We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

              +

              +

              At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

              +

              +

              To learn more about CIBC, please visit CIBC.com

              +

              +

              Job Description

              +

              +

              What you’ll be doing

              +

              The wholesale banking arm of CIBC provides corporate, government and institutional clients with innovative solutions to help them raise capital and grow and invest actively throughout North America and key financial centers around the world. To deliver on its mandate to be the premier client-focused wholesale bank in Canada, CIBC’s wholesale banking business focuses its strengths to deliver outstanding service and value to its clients. Our mission is to bring Canadian Capital Markets products to Canada and the rest of the world, and also bring the world to Canada.

              +
              +

              +

              The Equities team at CIBC wholesale banking understands what institutional investors value most: original ideas, top service and performance. Whether it\'s Bay Street or Wall Street, CIBC World Markets Inc. is there with the depth and breadth of product to advise on and execute the decisions of the investment community - anywhere in North America.

              +
              +

              +

              At CIBC we enable the work environment most optimal for you to thrive in your role Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

              +
              +

              +

              How you’ll succeed

              +

              As an Associate the incumbent will work closely with the Research Analyst (Senior Market Technician) covering Technical and Data-Series Analysis, which involves charting and reporting on Indices, GICS Sectors, and individual stocks. The Associate will learn and develop in-depth knowledge for technical and quantitative analysis for different asset-classes (Equities, Bonds, Commodities and Currency markets) and their relationships. In this role, you will gain valuable experience in writing technical reports, developing and maintaining technical models and databases, researching technical, quantitative, and sentiment factors that impact stock-selection and market conditions. The incumbent will work closely with the Research Technical Analyst (Market-Technician) on research projects, ad-hoc timely reports, along with multiple back-tested portfolio- and investment-strategies.

              +

              +

              Who You Are

              +
                -
              • Ability to work collaboratively and build relationships
              • -
              • Ability to effectively manage multiple projects and priorities simultaneously
              • +
              • We are seeking motivated, results-driven candidates who have an affinity for Technical Analysis within Capital Markets.

              • +
              • Education: preference is given to candidates who possess an undergraduate degree in computer science, economics, financial engineering, financial economics, mathematics, or engineering (e.g. computer, software, electrical, etc.). An MBA or advanced degree is a preference

              • +
              • Work Experience: Previous Capital markets experience is our strong preference.

              -
              • Motivated to constantly strive to find innovative ways to enhance capabilities
              -

              Preferable

              +

              A successful candidate should have the following characteristics:

                -
              • Experience in fraud management is an asset
              • -
              • Knowledge of machine learning is an asset
              • -
              • Automation experience is an asset
              • -
              • Knowledge of fraud detection platforms is an asset
              • -
              • Agile experience is an asset
              • +
              • Strong background in mathematics/statistics and finance, with a concentrated focus in timeseries and data analytics

              • +
              • Proficient knowledge of standard business PC applications (i.e. Excel, Word, PowerPoint, Access, etc.)

              • +
              • Strong knowledge of SQL, VBA, Python, and R

              • +
              • Experience with Bloomberg functionalities would be required

              • +
              • Solid interpersonal skills to deal effectively with internal and external clients

              • +
              • Strong multi-tasking and time management skills

              • +
              • A self-starter with an ability to work independently and problem solving in a deadline-oriented environment

              • +
              • Demonstrated interest in capital markets industry through school courses, clubs and/or related work experience

              +

              +

              What CIBC offers

              +
              +

              At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

              +
                +
              • We work to recognize you in meaningful, personalized ways including a competitive compensation, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

              • +
              • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

              • +
              • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

              • +

              -

              Additional Information

              -
              #tdcybersecurity #LI-Post
              +

              What you need to know

              +
                +
              • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

              • +
              • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

              • +

              -

              Hours

              -
              37.5

              -

              Inclusiveness

              -

              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

              -
              ",,https://jobs.td.com/en-CA/jobs/18031712/senior-business-insights-analyst-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-06-26T15:58:01.793Z,False,0,4,27,https://talenthub.vectorinstitute.ai/jobs/231456693-senior-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18031712/senior-business-insights-analyst-markham-ca/,expired,2023-06-01T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -b6b0df53-4a7d-4f5d-ab4b-5df59da32119,235604587,Roche,Finance Center of Excellence - Core Systems & Applications Lead,on_site,"Mississauga, ON, Canada",2023-06-12T20:25:07.300Z,"

              The Position

              -

              We are seeking a highly motivated and experienced Finance Core Systems & Applications Product Owner to join our team. This Product Owner will be responsible for developing, driving and executing our strategy for existing financial reporting & planning applications on platforms such as SAP BW and IBM Cognos TM1 to meet business needs and ensure business continuity. You will be working in an innovative, solution focused way, bringing your Finance subject matter expertise into an agile team approach, partnering closely with various functions in our global organization. You need to be well versed in common financial reporting and planning platforms (SAP BW, IBM Cognos TM1, and others), data flows within SAP R/3 and/or S/4HANA, and exploration of financial data and analytics.You will be collaborating across Finance and with our Informatics Data & Analytics and Financial Planning organizations, as well as our Shared Services organization in building a strategic approach to our core financial reporting and planning systems capabilities for the Finance organization and our business stakeholders.

              -

              This role is for a Digital for Finance team member with extensive experience and subject matter expertise in Financial Systems management in the Biosciences (Pharmaceutical, Diagnostics or similar) industry, with a comprehensive understanding of key financial processes and platforms, organizational needs, and with a value focused approach.

              +

              +

              Job Location

              Toronto-161 Bay St., 5th

              Employment Type

              Regular

              +

              Weekly Hours

              37.5

              Skills

              +

              Accounting, Business
              ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Associate--Equity-Research--Capital-Markets_2305851?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-04-24T17:11:03.032Z,False,0,5,22,https://talenthub.vectorinstitute.ai/jobs/216105430-associate-equity-research-capital-markets-at-cibc,,expired,2023-04-17T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +6076b6f4-724a-49c6-aa73-bb492e1ed049,217073197,RBC,"Manager, Program Governance",on_site,"Toronto, ON, Canada",2023-04-20T17:16:02.690Z,"
              +

              Come Work with Us!

              At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

              Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

              +

              Job Title

              Manager, Program Governance

              -

              The successful candidate will be responsible for:

              +

              Job Description

              +

              What is the opportunity?

              +

              +

              As a Manager, Program Governance, you will support the delivery of analytical insights for Global Finance IT and build interactive and intuitive dashboards to model data. This role will also be responsible for the oversight of project management tools to ensure appropriate IT cost recovery to various lines of businesses. You will report on various key performance indicators to Senior Management related to financial health and resource capacity trends. In addition, you will work intimately with project managers to leverage best practices on project expenditure management.

              +

              +

              What will you do?

                -
              • Developing a deep understanding of the organization's financial reporting and planning needs and identifying opportunities to leverage and streamline existing financial systems and applications to drive business outcomes.
              • -
              • Working closely with cross-functional teams, including developers, architects, data analysts, and business stakeholders to define product requirements and drive the development of sustainable and scalable finance solutions within the existing ecosystem.
              • -
              • Defining and monitoring key performance indicators (KPIs) for finance data products to measure their effectiveness and impact.
              • -
              • Collaborating with the organization's data governance team to ensure that existing financial systems and applications comply with data security and privacy policies.
              • -
              • Staying up-to-date with industry trends and best practices in finance data products, visualization, and analytics and recommending changes to improve the organization's finance systems & applications strategy.
              • +
              • Provide administration for Finance IT’s project management tools (Planview/MIS) for Finance IT’s development and maintenance portfolio of $100mm+, including the creation/upkeep/closure of projects, population of key data attributes, and ensuring proper cost recovery of all IT personnel
              • +
              • Support project managers and delivery leads in administering project management tools and managing all aspects of financials (monitoring of actuals vs plan, forecasting, processing of invoices)
              • +
              • Reconcile contractor cost recoveries in Planview/MIS to professional fee accrual during month-end at the contract and resource level
              • +
              • Support executive and portfolio level financial/KPI reporting
              • +
              • Automate existing reporting and enhance data visualization/analytics through various productivity tools (Tableau, VBA, etc); develop new automated solutions to improve productivity and efficiency
              • +
              • Maintain a healthy, accurate financial control environment within the Finance IT Business Management Office, reinforcing our role as the source of financial truth (App Dev, Maintenance, 3rd Party, NIE, etc)
              • +
              • Monitoring and communicating key performance metrics and operational challenges
              • +
              • Implement change management as required for new implementations and enhancements for project management tools
              -

              -

              Requirements:

              +

              +

              What do you need to succeed?

              +

              Must-have:

                -
              • Bachelor's degree in finance, accounting, or a related field; MBA preferred.
              • -
              • Minimum of 5 years of experience in finance, data analytics, or a related field.
              • -
              • Experience in the areas of core financial closing and/or planning activities and processes
              • -
              • Strong project management skills, including the ability to manage multiple projects simultaneously and prioritize tasks effectively.
              • -
              • Experience in leading key projects as either a project lead or project manager
              • -
              • Fluent and current on financial reporting, consolidation, planning and analytics tools and trends
              • -
              • Experience with SAP R/3 and/or S/4HANA
              • -
              • Experience with financial reporting tools such as SAP BW, SAP Analytics Cloud, IBM Cognos TM1, Power BI, or similar
              • -
              • Experience with financial planning tools such as SAP Analytics Cloud, SAP BW, IBM Cognos TM1 or similar
              • -
              • Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
              • -
              • Strong analytical skills, with the ability to analyze complex data sets and draw insights that drive business outcomes.
              • -
              • Knowledge of data governance and data security best practices.
              • -
              • Familiarity with agile development methodologies.
              • +
              • Bachelor’s degree, with a focus in finance, accounting, computer science, business or mathematics.
              • +
              • Experience in a financial control environment
              • +
              • Data analytics and reporting experience on large data sets and multiple sources
              • +
              • Advanced command of Microsoft Excel, Word, Powerpoint, and data visualization tools
              • +
              • Basic financial services and accounting knowledge
              -
              • Technology and Data savviness, passionate about latest technology trends and data driven mindset, innovative and curious mindset, with a passion for learning and teaching

              -

              If you are passionate about finance, leveraging powerful financial systems & applications capabilities to drive actionable insights, and are looking for an exciting opportunity to make an impact in a dynamic and growing organization, we encourage you to apply for this position.

              +

              Nice-to-have

              +

              Notes:

              +
                +
              • Previous experience with Tableau, SQL, Planview
              • +
              • Experience in an IT delivery team with a focus on project management, and the systems development lifecycle
              • +
              • CPA, PMP, MBA designation(s)
              • +

              -

              ** This role is NOT eligible for relocation**

              -

              Who we are

              -

              At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

              +

              What’s in it for you?

              +

              We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

              -

              Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche's truly innovative culture.

              +
                +
              • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
              • +
              • Leaders who support your development through coaching and managing opportunities
              • +
              • Ability to make a difference and lasting impact
              • +
              • Work in a dynamic, collaborative, progressive, and high-performing team
              • +
              • A world-class training program in financial services
              • +
              • Flexible work/life balance options
              • +
              • Opportunities to do challenging work
              • +
              • Opportunities to take on progressively greater accountabilities
              • +
              • Opportunities to building close relationships with clients
              • +
              • Access to a variety of job opportunities across business and geographies
              • +
              • #LI-Hybrid
              • +

              -

              As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

              +

              -

              Roche is an Equal Opportunity Employer.

              ",,https://roche.wd3.myworkdayjobs.com/roche-ext/job/Mississauga/Finance-Center-of-Excellence---Core-Systems---Applications-Lead_202306-113631,aitalent@vectorinsitute.ai,https://www.roche.com/careers.htm,,,2023-06-26T23:30:00.000Z,False,0,1,14,https://talenthub.vectorinstitute.ai/jobs/235604587-finance-center-of-excellence-core-systems-applications-lead-at-roche,,expired,2023-06-12T20:25:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,New Posting, -8010edf9-eeec-4013-b754-ba737d896447,230064449,Borealis AI,Senior Machine Learning Research Team Lead,on_site,"Ontario, Canada",2023-05-28T15:55:02.191Z,"
              -

              What\'s the opportunity?

              -

              Borealis AI is looking for a Senior Research Team Lead. The role includes managing a team of research team leads, researchers, and research engineers with the goal of delivering AI-based products for the financial services industry. In addition, you will lead initiatives that improve the effectiveness of the research organization.

              -

              Your responsibilities include:

              +

              +

              Job Summary

              +

              Address:

              TORONTO, Ontario, Canada

              City:

              CAN-ON-TORONTO

              Country:

              Canada

              Work hours/week:

              37.5

              Employment Type:

              Full time

              Platform:

              Technology and Operations

              Job Type:

              Regular

              Pay Type:

              Salaried

              Posted Date:

              2023-04-17

              Application Deadline:

              2023-05-26
              +

              Inclusion and Equal Opportunity Employment

              +

              At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
              ​​​​​​​
              We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

              +
              +

              Join our Talent Community

              Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

              Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

              +
              ",,https://jobs.rbc.com/ca/en/job/R-0000056547/Manager-Program-Governance,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-04-24T17:21:01.675Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/217073197-manager-program-governance-at-rbc,,expired,2023-04-20T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +e7e8f1ee-2269-4d97-b279-f46ea122e86f,208968058,Google,"Student Researcher, BS, 2023",on_site,"Toronto, ON, Canada",2023-03-26T17:20:02.033Z,"
              +
              +2023-03-31T19:30:51.063Z
              +
                +
              • Share
              • +
                Save +
              • +

              Student Researcher, BS, 2023

                +
              • Google
              • +
              • In-office:
                + Waterloo, ON, Canada +
              • +
              • + 2 more locations
              • +
              +
              +
              +

              Participation in this program requires that you are located in Canada for the duration of the engagement.

              +

              This opportunity is intended for students who are pursuing a BS degree with an anticipated graduation date after December 2024, depending on their program and unique circumstances. If you are graduating before December 2024, we encourage you to apply to the Internship openings.

              +

              To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English (PDFs preferred). Please ensure your anticipated graduation dates (in MM/YY) and any proficiency in coding languages are listed on resume.


              Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Montreal, QC, Canada; Toronto, ON, Canada.

              +
              +

              Qualifications

              +

              Minimum qualifications:

              +
                +
              • Currently enrolled in a Bachelor\'s degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences.
                +
              • +
              • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, etc.).
                +
              • +
              +

              Preferred qualifications:

              +
                +
              • Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
              • +
              • Currently attending a degree program in Canada.
              • +
              • Experience as a researcher, including internships, full-time, or at a lab.
              • +
              • Experience contributing to research communities or efforts, including publishing papers in conferences or journals.
                +
              • +
              • Experience with one or more general purpose programming languages (e.g., C/C++, Java, MATLAB, Go, Python, etc.).
                +
              • +
              • Ability to speak and write in English fluently.
              • +
              +
              +
              +
              +

              About the job

              +

              The Student Researcher Program’s primary objective is to foster academic collaborations with students through research at Google. Join us for a paid Student Researcher position that offers the opportunity to work directly with Google research scientists and engineers on cutting-edge research projects.

              +

              The Student Researcher Program offers more opportunities for research students to work on critical research projects at Google in a less structured way. The program allows for opportunities beyond the limitations of our traditional internship program on aspects such as duration, time commitment, and working location (with options for on-site or remote). The topics student researchers work on tend to be open-ended and exploratory, and don\'t always have a clear deliverable like a traditional internship would.

              +

              Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world\'s fast-paced business needs.

              +
              +
              +
              +

              Responsibilities

              • Participate in research to develop solutions for real-world, large-scale problems.
              +
              +

              Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

              Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and Know your rights: workplace discrimination is illegal. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

              To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

              To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

              At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

              We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

              Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

              +
              +
              +
              ",,"https://careers.google.com/jobs/results/105590610976481990-student-researcher-bs-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-04-26T18:20:57.088Z,False,0,9,62,https://talenthub.vectorinstitute.ai/jobs/208968058-student-researcher-bs-2023-at-google,,expired,2023-03-26T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Bachelors Degree,New Posting, +336d4609-460d-42de-8852-d45f908c3ec2,209224871,Layer 6,Machine Learning Scientist,on_site,"Toronto, ON, Canada",2023-03-27T19:40:07.962Z,"

              +Machine Learning Scientist
              +

              +

              Layer 6 is a leading machine learning research company, developing advanced deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence.

              +

              Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform. Research areas include deep learning, computer vision, time series analysis, natural language processing and recommendation systems etc.

              +

              Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), Kaggle: RSNA Pneumonia Detection Challenge (4th place in 2018) and the Stanford Question Answering Dataset (2nd place in 2019).

              +

              Layer 6 was founded in Toronto in 2016 and backed by some of the most successful technology entrepreneurs in Canada. Layer 6 was acquired by TD Bank Group in 2018 and we continue being based in Toronto’s Discovery District – MaRS Centre.

              +

              As a machine learning scientist, you will

                -
              • To lead a team of machine learning researchers delivering cutting edge AI technology to support AI-based products.
              • -
              • To partner with Borealis AI’s product and engineering teams to ensure the seamless delivery of these products.
              • -
              • To manage other research team leads and provide guidance and support.
              • -
              • To lead initiatives that improve the overall performance of the Borealis AI Research Team.
              • -
              • To help recruit, mentor and retain a high-performing research team.
              • +
              • Join a world-class team of machine learning researchers with an extensive track record in both academia and industry.
              • +
              • Research, develop, and apply new techniques in the intersection of deep learning and personalization to further advance our industry leading product.
              • +
              • Work with diverse real-life datasets that range from banking transactions, to predictive health applications, to audio/video consumption.
              • +
              • Collaborate closely with the engineering team in a fast paced startup environment and see your research deployed in production with very short turnaround.
              -

              You’re our ideal candidate if you have:

              +

              Required Qualifications

                -
              • A Ph.D. degree in Computer Science or a related technical field;
              • -
              • 5 years of experience leading machine learning research teams in a product-centric environment or equivalent experience;
              • -
              • A track record of successful people management including mentoring junior researchers and engineers, experienced high-performance researchers, and research managers;
              • -
              • Experience delivering high-impact machine learning products
              • -
              • Involvement across the research and development lifecycle, from prototyping to production, engaging with stakeholders to develop solutions that meet business needs;
              • -
              • Detailed knowledge of cutting edge machine learning techniques;
              • -
              • The ability to formulate and drive a research project independently;
              • -
              • Exceptional communication skills;
              • -
              • A history of high quality academic publications (e.g., NeurIPS, CVPR, AISTATS, ICLR, ICML etc.);
              • +
              • PhD degree in Computer Science, Statistics, Operations Research, Mathematics or related field
              • +
              • Strong background in machine learning
              • +
              • 5+ years of research experience with publication record
              • +
              • Proven track record of applying machine learning to solve real-world problems
              -

              What\'s in it for you?

              +

              Preferred Qualifications

                -
              • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
              • -
              • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
              • -
              • Ability to make a difference and lasting impact from a local-to-global scale.
              • +
              • Experience with deep learning and/or collaborative filtering
              • +
              • Hands on experience in software systems development and SaaS applications
              • +
              • Experience with one or more Java, Matlab, Scala, Tensorflow and MXNet
              • +
              • Experience using GPUs for accelerated deep learning training
              • +
              • Familiarity with AWS
              -

              About Borealis AI

              -

              Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

              -

              Inclusion and Equal Opportunity Employment

              -

              RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

              -

              -
              ",,https://www.borealisai.com/careers/?gh_jid=6616707002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-06-28T17:42:30.457Z,False,0,4,36,https://talenthub.vectorinstitute.ai/jobs/230064449-senior-machine-learning-research-team-lead-at-borealis-ai,,expired,2023-05-28T15:55:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,PhD,New Posting, -05a4aea7-c626-421c-bf6c-c8b3b467eb0c,230331237,BMO Financial Group,"Senior Manager, Stress Testing Models & Analytics",on_site,"Ontario, Canada",2023-05-29T15:39:02.394Z,"
              -

              Application Deadline:

              08/25/2023

              +

              Benefits

              +
                +
              • Entrepreneurial and inclusive culture
              • +
              • Excellent health coverage
              • +
              • Four weeks paid vacation
              • +
              • Catered lunches twice a week over machine learning talks
              • +
              • Opportunities to collaborate with faculty at the Vector Institute
              • +
              ",,https://layer6.ai/careers/#Machine-Learning-Scientist-183,aitalent@vectorinsitute.ai,https://layer6.ai/careers/,,,2023-04-26T19:40:24.578Z,False,0,25,168,https://talenthub.vectorinstitute.ai/jobs/209224871-machine-learning-scientist-at-layer-6,,expired,2023-03-27T19:40:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,PhD,New Posting, +59aba385-3e68-40b4-be40-7729c0cfcde3,217072590,BMO Financial Group,"Senior Analyst, Quantitative Analysis and Strategy",on_site,"Ontario, Canada",2023-04-20T17:12:02.836Z,"
              +

              Application Deadline:

              04/24/2023

              +

              +

              Address:

              100 King Street West

              +

              +

              Job Family Group:

              Data Analytics & Reporting

              +

              +

              +

              +

              Applies knowledge of advanced analytic algorithms and technologies to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups.

              +
                +
              • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
              • +
              • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
              • +
              • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
              • +
              • Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
              • +
              • Applies scripting / programming skills to assemble various types of source data into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
              • +
              • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., Analytical solutions, mathematical models, algorithms, machine learning, deep learning) to test, verify, refine hypotheses.
              • +
              • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
              • +
              • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
              • +
              • Performs experimental design approaches to validate finding or test hypotheses.
              • +
              • Uses the appropriate algorithms to discover patterns.
              • +
              • Builds effective relationships with internal/external stakeholders and ensures alignment.
              • +
              • Supports development of tools and delivers training for data analytics and AI.
              • +
              • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
              • +
              • Leads/participates in the design, implementation and management of core business/group processes.
              • +
              • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
              • +
              • Exercises judgment to identify, diagnose, and solve problems within given rules.
              • +
              • Works independently on a range of complex tasks, which may include unique situations.
              • +
              • Broader work or accountabilities may be assigned as needed.
              • +
              +

              Qualifications:

              +
                +
              • Post-secondary degree in related field of study is preferred.
              • +
              • Knowledge of visualization techniques and concepts (e.g. PowerBI, Tableau).
              • +
              • Experience with programming languages (e.g. SQL, Python, SAS) and machine learning /deep learning algorithms/packages.
              • +
              • Experience in statistical analysis, data mining, and data cleansing / transformation.
              • +
              • Technical proficiency gained through education and/or business experience.
              • +
              • Verbal & written communication skills - In-depth.
              • +
              • Collaboration & team skills - In-depth.
              • +
              • Analytical and problem solving skills - In-depth.
              • +
              • Influence skills - In-depth.
              • +
              • Data driven decision making - In-depth.
              • +
              +

              +

              Additional Job Description

              +

              +

              The Quantitative Analysis and Strategy (QAS) team works closely with our partners within Corporate Treasury i.e. Structural Market Risk, Liquidity & Funding and Portfolio Management teams, and our Lines of Business partners across the bank. The team works to identify and quantify risks and opportunities through analyzing and modeling origination, utilization, prepayment behavior, pricing sensitivities, market size and revenue opportunities. The analysis and modeling work in the areas of mortgage, home equity, C&I and CRE loans, consumer & commercial deposits, various securities including MBS, ABS, Muni bonds, etc. are instrumental in pricing, valuation, interest rate risk measurement and hedging, balance sheet management and optimization strategies.

              +

              +

              The Senior Analyst, Quantitative Analysis and Strategy in Corporate Treasury is ideal for one who wants to work on developing, enhancing, implementing and maintaining quantitative models and analytics suites. They would do so by using conventional econometric and machine learning techniques, for the purposes of asset liability and interest rate risk management, customer analytics, profitability, and stress testing under various macro-economic scenarios. This involves analyzing large account-level and transaction-level data, articulating the problem statement, and specifying the most appropriate quantitative solution.

              +

              +

              New grads with demonstrable problem solving and critical thinking skills will be considered.

              +

              +

              +

              We’re here to help

              +

              +

              At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

              +

              +

              As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

              +

              +

              To find out more visit us at https://jobs.bmo.com/ca/en.

              +

              +

              BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

              +

              +

              Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

              +
              ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Analyst--Quantitative-Analysis-and-Strategy_R230005853?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-04-27T17:17:02.495Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/217072590-senior-analyst-quantitative-analysis-and-strategy-at-bmo-financial-group,,expired,2023-04-20T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +86c5d814-2ff6-40d6-b757-b3cb746b4947,218284098,Clearpath,Autonomy Developer - Perception,on_site,"Ontario, Canada",2023-04-24T17:42:02.536Z,"

              Description

              +

              Position: Autonomy Developer - Perception
              Location: Kitchener, Ontario
              Job Type: Full-Time Permanent
              Experience: 2-5 Years Relevant Work Experience
              Education: Masters or PhD Degree in a related field
              Division: OTTO Motors

              +

              About OTTO Motors, a division of Clearpath Robotics

              +

              At OTTO Motors, we believe material handling is one of the most dangerous and unproductive parts of modern industrial operations. Our mission is to create safer, more productive and fulfilling workplaces with autonomous material handling technology. Most recently, OTTO Motors was recognized among the top 1% of Canada’s highest-performing global private companies by Communitech. Our loyal customers are also the most recognizable brands in the world and trust OTTO Motors to fulfill their mission-critical material handling needs: General Electric, Toyota, Hershey, Caterpillar, Berry Global, and more. For more information about us, visit www.ottomotors.com.

              +

              About the Job

              +

              The OTTO Motors division of Clearpath is looking for a Perception Developer to work on the Perception Team in the Vehicle Software Group to focus on the development of sensor calibration algorithms.

              +

              Clearpath\'s OTTO Motors robots lead the industry in self-driving materials handling, and you can help us push robotics to the next level of intelligence and performance. This means continually learning, inventing, and implementing new algorithms, all with an emphasis on robust and reliable best practice programming. We\'re looking for people excited to develop the next generation of perception algorithms to tackle the toughest challenges in localization and mapping, calibration, sensing, machine learning, computer vision and more.

              +

              The perception team’s primary responsibility is the development of the core robotics software responsible for environmental sensing and understanding on all of our vehicles. As a Perception Developer - Calibration and Sensors you will develop & maintain algorithms and processes for the complete continuous calibration of robotic systems and processing of sensor data. You will be creating solutions to the challenging problems of high accuracy intrinsic and extrinsic calibration of heterogeneous sensor configurations and actuators as well as online calibration and sensor processing and monitoring for a wide range of possible robotic platforms. You will be responsible for evaluating state-of-the-art ideas from academia and industry, and taking these ideas out of the lab and into the real world, identifying opportunities to improve, and developing high-performance software to run in real time on the robots.

              +

              About You

              +

              For the role of Perception Developer - Calibration we are seeking an experienced developer to support, maintain, and extend robotic calibration solutions for a variety of applications.

              +

              Responsibilities:

              +
                +
              • Create robust innovative solutions to the problems of robotic calibration and perception
              • +
              • Development of custom calibration, sensor monitoring, sensor filtering, and perception algorithms
              • +
              • Evaluation of new sensing technology and robotic platforms
              • +
              • Work with production to develop processes for sensor calibration methods
              • +
              • Develop integration and unit tests for perception features
              • +
              • Supporting deployment and testing of robotic systems
              • +
              • Stay up to date with the latest developments in industry and academia
              • +
              +

              Skills and experience:

              +
                +
              • Strong theoretical and practical understanding of the challenges and solutions to the problems of robotic system calibration
              • +
              • Practical knowledge of sensing technologies including LIDAR, Cameras, IMU, and their error models
              • +
              • Familiarity with robotic platforms and their motion models such as differential, ackerman, bicycle, etc.
              • +
              • Proficient software development skills in modern C++
              • +
              • Proficiency with Linux environment
              • +
              +

              Bonus Points For:

              +
                +
              • Hands-on experience with real world autonomous systems
              • +
              • Experience writing efficient, high performance code
              • +
              • Experience with ROS / Robotics Systems.
              • +
              • Proficiency with linear algebra and non-linear optimization including libraries such as ceres solver and Eigen
              • +
              • Experience with computer vision libraries such as PCL and OpenCV.
              • +
              • Experience with manufacturing tolerances of robotic systems
              • +
              +

              +

              Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, gender identity/expression, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

              +

              ",,http://jobs.jobvite.com/clearpath/job/o4dRlfwd,feed-importer@jobboard.io,,,,2023-04-27T17:47:05.129Z,False,0,3,29,https://talenthub.vectorinstitute.ai/jobs/218284098-autonomy-developer-perception-at-clearpath,,expired,2023-04-24T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Manufacturing ,Mid-Senior Level,Masters Degree,New Posting, +83406daa-9115-462e-8a90-c9bced8a4078,217075527,Sun Life Financial,"AVP Audit, Digital, Data Analytics & IT Advisory",on_site,"Ontario, Canada",2023-04-20T17:41:02.170Z,"
              +

              You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

              +

              +

              +

              Job Description:

              +

              +

              About the role

              +

              +

              Reporting to the Vice President, Internal Audit, IT, Digital and Data, this individual is responsible for leading the Data analytics and Continuous Controls assurance programs across the global audit function and overseeing the Digital Enterprise audit plan across the organization. In addition, this individual will support Digital initiatives and processes within Internal Audit and support continuous improvement opportunities to achieve further efficiencies and insights.

              +

              +

              What you\'ll be doing:

              +
                +
              • Establishing and executing a framework for efficient and effective risk assessments, audit planning, and audit methodologies for DE initiatives and ensuring audit team compliance with standards of professional practice.
              • +
              • Influencing management to improve the effectiveness and efficiency of operations and risk management practices with respect to DE.
              • +
              • Guiding and overseeing work performed in other Business Groups when the subject matter relates to Digital Enterprise processes, so as to more effectively address systemic issues, and apply standards and methodologies that enhance the image and product of Sun Life’s internal auditing worldwide.
              • +
              • Leading and overseeing the data analytics program and continuous controls assurance programs within internal audit globally including developing and executing on our global strategy to mature analytics in our audits and provide real time insights to management.
              • +
              • Leading the digital and data analytics teams globally with a focus on building and maintaining a high-performance team of auditors including the recruitment, administration, development, and retention of staff through strong leadership and coaching.
              • +
              • Overseeing the data analytics center of excellence within internal audit, ensuring consistency in approach and appropriate knowledge sharing across the group.
              • +
              • Actively participating in various audit and IT related industry, professional and regulatory forums, bringing forth best industry best practices and thought leadership to improve the quality of audits.
              • +
              • Actively staying engaged in the latest technologies, regulations and business trends in digitizing and data analytics
              • +
              • Building relationships with senior stakeholders across DBTS.
              • +
              • Influencing and promoting control awareness and a strong control environment across the Enterprise.
              • +
              • Build roadmap and strategy for digitization within Internal Audit in conjunction with our Professional Practices group.
              • +
              • Liaise with other functional areas, such as Compliance and Audit, as they collectively develop and implement digital and harmonization roadmaps on technology and risk related initiatives.
              • +
              +

              +

              What you\'ll need to succeed

              +

              +

              Strong technology and analytical skills, as demonstrated by:

              +
                +
              • In-depth understanding of the principles and practices of information technology, data analytics, digital processes, and internal control in a large corporate environment
              • +
              • Ability to identify, assess and prioritize issues or problems and identify solutions or opportunities for improvement.
              • +
              • Success in a leadership role involving internal audit methodologies and information technology risk and control frameworks.
              • +
              • Ability to build strategy, roadmap and to work with ambiguity with an innovate mindset.
              • +
              +

              +

              Well-developed communication and negotiation abilities, as demonstrated by:

              +
                +
              • Superior influence and negotiation skills, including strong references as a compelling, authoritative, yet open communicator who possesses the stature and demeanour necessary to develop and sustain confidence of senior management, and peers.
              • +
              • Track record of negotiating agreement on compromise solutions that meet the needs of the business while ensuring the integrity of the internal control environment.
              • +
              • Strong written and verbal communication skills, and presentation skills.
              • +
              • Solid program management, project coordination, program design and completion skills
              • +
              +

              +

              Proven leadership skills, as demonstrated by:

              +
                +
              • Proven ability to manage a team of professionals, including a detail-oriented management style with a strong bias for follow-up, providing guidance and coaching.
              • +
              • A record of strong, capable and innovative leadership; communicating and gaining team commitment to strategic priorities.
              • +
              • Ability to attract, develop and retain talent and work effectively across cultures, geographies and teams.
              • +
              • Make a significant contribution to ‘change management’ within the Audit team, helping to build the team to an overall higher level of performance and to develop and implement internal audit best practices. Work to develop “value added” in the team’s services to its clients.
              • +
              • The ability to work effectively with persons at all levels in the organization and influence management.
              • +
              +

              +

              Additional Experience

              +
                +
              • University degree in a related discipline such as IT, Analytics, Business, or Mathematics.
              • +
              • 10+ years progressive financial industry experience, including 5 or more years of senior level experience in Audit, Risk or Technology function with a focus on Digital and Data Analytics.
              • +
              • Demonstrated knowledge or aptitude for technology platforms and digital solutions including web, mobile, database, data analytics, personalization tools, machine learning and AI.
              • +
              • Experience using data analytics tools in support of audit engagements and knowledge of data, digital, and technology landscape.
              • +
              +

              +

              #LI-Remote

              +

              +

              The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

              +

              +

              Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

              +

              +

              Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

              +

              +

              At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

              +

              +

              We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

              +

              +

              Salary Range:

              125,500/125 500 - 207,100/207 100

              +

              Job Category:

              Advanced Analytics

              +

              Posting End Date:

              02/05/2023
              ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/AVP-Audit--Digital--Data-Analytics---IT-Advisory_JR00079213-2?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-05-04T17:46:03.422Z,False,0,2,16,https://talenthub.vectorinstitute.ai/jobs/217075527-avp-audit-digital-data-analytics-it-advisory-at-sun-life-financial,,expired,2023-04-20T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +86078b11-fd3b-4723-a62a-74bbb99ea5a5,231454910,Scotiabank,"Manager, Technical Business Analyst",on_site,Canada : Ontario : Toronto,2023-06-01T15:52:02.563Z,"

              +

              +

              +

              +

              Requisition ID: 178610

              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

              +

              +

              Purpose
              Contributes to the overall success of the Data Office in Canada ensuring specific individual goals, plans and initiatives are executed / delivered in support of the team’s business strategies and objectives. The main function of the Manager, Technical Business Analyst role is to support investigation, development, testing and operationalization of data solutions related to strategic goals of the Data Office. This role ensures all activities are conducted in compliance with enterprise data standards, policies and procedures.

              +

              +

              Accountabilities
              • Provides input to end-to-end data flows and lineage from capture at source, to storage, to delivery and its business intent at each stage (i.e. capture, transformation, fragmentation, editing)
              • Performs any necessary data mapping and data lineage activities and documents information flows to support specific business requirements
              • Performs data profiling, analyzes and communicates results in support of data quality processes
              • Builds the metadata model and business glossary by gathering information from multiple sources: business users, existing data sources, databases and other relevant documents and systems
              • Participates in knowledge transfer within the team and business units and identifies and recommend opportunities to enhance productivity, effectiveness and operational efficiency of the business unit and/or team
              • Monitors project progress by tracking activity; resolving problems; publishing progress reports; recommending actions.
              • Prepares technical reports by collecting, analyzing, and summarizing information and trends
              • Assesses, researches, analyzes, and documents project needs and outcomes by selecting the appropriate information gathering and/or modelling technique to elicit requirements

              +

              +

              Experience
              • Understanding of data components and can trace data elements at origination and as they move between systems including any transformations
              • Strong business acumen, data analysis, metadata documentation, and data quality controls skills specifically with respect to analyzing business process controls, sourcing and provisioning of lineage, and identifying data quality issues and proposing remediation steps
              • Very detail oriented and skilled in summarizing and gleaning insights from large amounts of information
              • Self-motivated to solve problems and able to work collaboratively with other team members
              • Strong oral and written communication skills and comfortable presenting to a variety of audiences

              +

              +

              Qualifications
              • Strong technical education background, majoring in fields that require a high degree of analytical skills, such as Engineering, Computer Science, Physics, Math, Statistics or related
              • Strong math, analytical, and business knowledge
              • Knowledge of some sort of programming language
              • Experience with relational database (SQL) or NoSQL storage systems
              • Good knowledge of business analysis processes and frameworks with experience documenting process and data flows using tools like Microsoft Visio and IBM Blueworks

              +

              +

              +

              Location(s): Canada : Ontario : Toronto

              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

              ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Technical-Business-Analyst-ON-M5H1H1/570818317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-08T15:57:03.242Z,False,0,2,16,https://talenthub.vectorinstitute.ai/jobs/231454910-manager-technical-business-analyst-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Technical-Business-Analyst-ON-M5H1H1/570818317/,expired,2023-06-01T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +05318020-f7b8-4a4f-b4ca-6f7713a7daab,230331855,Google,"Student Researcher, PhD, 2023",on_site,"Toronto, ON, Canada",2023-05-29T15:51:04.114Z,"
              +
              +2023-03-31T19:30:50.898Z
              +
                +
              • Share
              • +
                Save +
              • +

              Student Researcher, PhD, 2023

                +
              • Google
              • +
              • In-office:
                + Waterloo, ON, Canada +
              • +
              • + 2 more locations
              • +
              +
              +
              +

              +

              Participation in this program requires that you are located in Canada for the duration of the engagement.

              +

              This opportunity is intended for students who are pursuing a PhD degree with an anticipated graduation date after December 2024, depending on their program and unique circumstances. If you are graduating before December 2024, we encourage you to apply to the Research Internship opening.

              +

              To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English (PDFs preferred). Please ensure your anticipated graduation dates (in MM/YY) and any proficiency in coding languages are listed on resume.


              Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Montreal, QC, Canada; Toronto, ON, Canada.

              +
              +

              Qualifications

              +

              Minimum qualifications:

              +
                +
              • Currently enrolled in a PhD degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences.
                +
              • +
              • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, etc.).
                +
              • +
              +

              Preferred qualifications:

              +
                +
              • Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
              • +
              • Currently attending a degree program in Canada.
              • +
              • Experience as a researcher, including internships, full-time, or at a lab.
              • +
              • Experience contributing to research communities or efforts, including publishing papers in conferences or journals.
                +
              • +
              • Experience with one or more general purpose programming languages (e.g., C/C++, Java, MATLAB, Go, Python, etc.).
                +
              • +
              • Ability to speak and write in English fluently.
              • +
              +
              +
              +
              +

              About the job

              +

              The Student Researcher Program’s primary objective is to foster academic collaborations with students through research at Google. Join us for a paid Student Researcher position that offers the opportunity to work directly with Google research scientists and engineers on cutting-edge research projects.

              The Student Researcher Program offers more opportunities for research students to work on critical research projects at Google in a less structured way. The program allows for opportunities beyond the limitations of our traditional internship program on aspects such as duration, time commitment, and working location (with options for on-site or remote). The topics student researchers work on tend to be open-ended and exploratory, and don\'t always have a clear deliverable like a traditional internship would.

              +

              Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world\'s fast-paced business needs.

              +
              +
              +
              +

              Responsibilities

              • Participate in research to develop solutions for real-world, large-scale problems.
              +
              +

              Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

              Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and Know your rights: workplace discrimination is illegal. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

              To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

              At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

              We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

              Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

              +
              +
              +
              ",,"https://careers.google.com/jobs/results/108473667903464134-student-researcher-phd-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-06-08T15:56:01.861Z,False,0,12,67,https://talenthub.vectorinstitute.ai/jobs/230331855-student-researcher-phd-2023-at-google,,expired,2023-05-29T15:51:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,PhD,New Posting, +84194242-0033-4320-a570-c0bccaf9f8b6,226183241,BMO Financial Group,"Audit Manager, Data Science",on_site,"Ontario, Canada",2023-05-16T15:39:05.761Z,"
              +

              Application Deadline:

              08/30/2023

              -

              Address:

              100 King Street West

              +

              Address:

              55 Bloor Street West

              Job Family Group:

              Data Analytics & Reporting

              +

              An effective audit function provides vital assurance to the Board of Directors and senior management as to the quality and effectiveness of the internal control system and in so doing helps reduce the risk of loss and reputational damage to the Enterprise. The function is instrumental in identifying high risk circumstances that could lead to material impact on profitability or reputation.

              +

              +

              In this role you will apply your knowledge of advanced analytics algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enable smarter business decisions, improved customer experience and drive productivity for our business. You will use your strong communication and story-telling skills to summarize statistical/algorithmic findings to draw business conclusions, and present actionable insight in a way that resonates with business/groups. You will drive innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

              +

              +

              Reporting to Senior Audit Manager, Data Science, the Audit Manager, Data Science is responsible for

              -

              Undertakes development of quantitative risk modeling methodologies and related strategies with emphasis on the forecasting of stressed losses, determination of key drivers of change, and quantification of overlays where relevant. Conducts all aspects of the model development life cycle for credit stress testing models (wholesale / retail, North / South). Works closely and productively with business and functional stakeholders across the bank including line-of-business leaders, Senior Credit Officers, senior executives in risk and finance, and stress testing implementation teams in both Canada and the US. Conducts associated engagements and establishes credibility with model risk management, regulators, and internal audit. Facilitates innovation through the implementation of modeling approaches and process improvements that can be leveraged across the organization and enhances best practices. Functions in an environment of change effectively and proactively. Communicates challenging technical material to users from a variety of backgrounds clearly, effectively, and with influence.

                -
              • Provides strategic input into business decisions as a trusted advisor.

              • -
              • Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group.

              • -
              • Acts as a subject matter expert on relevant regulations and policies.

              • -
              • May network with industry contacts to gain competitive insights and best practices.

              • -
              • Acts as a subject matter expert on relevant regulations and policies.

              • -
              • Oversees the development and delivery of tools and training reporting tools and self-serve analytics by non-analytical end users.

              • -
              • Influences and negotiates to achieve business objectives.

              • -
              • Identifies emerging issues and trends to inform decision-making.

              • -
              • Manages resources and leads the execution of strategic initiatives to deliver on business and financial goals.

              • -
              • Recommends business priorities, advises on resource requirements and develops roadmap for strategic execution.

              • -
              • Develops and manages comprehensive information management systems; designs and/or leads initiatives to improve processes, analysis and reporting.

              • -
              • Conducts independent analysis and assessment to resolve strategic issues.

              • -
              • Identifies emerging issues and trends to inform decision-making.

              • -
              • Acts as the prime subject matter expert for internal/external stakeholders.

              • -
              • Ensures alignment between stakeholders.

              • -
              • Builds effective relationships with internal/external stakeholders.

              • -
              • Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group.

              • -
              • Defines business requirements for analytics & reporting to ensure data insights inform business decision making.

              • -
              • Develops and applies the framework for databases; oversees database management in adherence with data governance standards.

              • -
              • Monitors and tracks performance, and addresses any issues.

              • -
              • Leads the execution of ad-hoc analytics and reporting solutions and cyclical programs; assesses and adapts as needed to ensure quality of execution (8,9).

              • -
              • Leads change management programs of varying scope and type, including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.

              • -
              • Leads the development of the communication strategy focusing on positively influencing or changing behaviour.

              • -
              • Collaborates across BMO to develop communications strategies and ensure consistency of messaging, in order to positively influence or change behaviour.

              • -
              • Leads the execution of operational programs; assesses and adapts as needed to ensure quality of execution.

              • -
              • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.

              • -
              • Provides advice and guidance to assigned business/group on implementation of analytical solutions.

              • -
              • Works with stakeholders to identify the business requirements, understand the distinct problems, and the expected outcome and models and frames business scenarios which impact critical business processes and/or decisions.

              • -
              • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.

              • -
              • Applies scripting/programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).

              • -
              • Develops agreed analytical solution by applying suitable statistical techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, artificial intelligence) to test, verify, refine hypotheses.

              • -
              • Summarizes statistical findings and draws conclusions and presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.

              • -
              • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.

              • -
              • Performs experimental design approaches to validate finding or test hypotheses.

              • -
              • Uses the appropriate algorithms to discover patterns.

              • -
              • Builds effective relationships with internal/external stakeholders. Ensures alignment between stakeholders.

              • -
              • Supports development of tools and delivers training for data and analytics.

              • -
              • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.

              • -
              • Leads/participates in the design, implementation and management of core business/group processes.

              • -
              • Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.

              • -
              • Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.

              • -
              • Implements changes in response to shifting trends.

              • -
              • -

                Broader work or accountabilities may be assigned as needed.

                -

                Qualifications:

                -
              • -
              • Typically 10+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

              • -
              • Proven experience in developing predictive models that are capable of functioning in real-life environments.

              • -
              • Proven experience in developing risk models that satisfy Canada and US regulatory expectations.

              • -
              • Data preparation, data analysis, and statistical tool sets including but not limited to Python, C++, SAS, R, MATLAB, SPSS.

              • -
              • Experience with application of Machine Learning and AI techniques to predictive modeling, including financial risk modeling.

              • -
              • Relevant experience in risk, financial modeling, predictive analytics, capital, and/or treasury management is required.

              • -
              • Seasoned professional with a combination of education, experience and industry knowledge.

              • -
              • Verbal & written communication skills - In-depth / Expert.

              • -
              • Analytical and problem solving skills - In-depth / Expert.

              • -
              • Influence skills - In-depth / Expert.

              • -
              • Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.

              • -
              • Able to manage ambiguity.

              • -
              • Data driven decision making - In-depth / Expert.

              • +
              • Build rule-based, statistical and machine learning models and pipelines via SQL and Python based framework
              • +
              • Automate analytics and author data pipelines via SQL and Python based ETL framework
              • +
              • Develop user interface for self-served analytics via Python and JavaScript based framework
              • +
              • Create and maintain internal documentation on projects, pipelines, tools, datasets, know-how and best practices
              • +
              • Contribute to design of roadmap for analytics and data science, e.g. discussions relating to project timelines, analytics adaptation, and training curriculum about AI / ML within audit
              • +
              • Share and promote success stories relating to completed projects within audit
              • +
              • Stay up to date on data, technologies, AI trends and workflows within BMO as they are developed, and help audit partners understand and prepared for relevant communications
              • +
              • Partner with various audit teams to identify opportunities to improve audit process via AI / ML, automation pipelines and analytics, and to define good metrics to measure and monitor such improvements
              • +
              • Partner with IT specialists across Technology and Operations to implement and productionize analytical and self-served solutions
              • +
              • Partner with IT specialists across Cloud Engineering and similar functions for experimentations relating to cloud-based analytical tools and services, should the need arise
              • +
              +

              +

              Qualifications:

              +
                +
              • Master’s degree or higher in a Quantitative or Technical field
              • +
              • Typically 5 - 7 years of experience
              • +
              • Solid understanding of statistical modeling and data science methods
              • +
              • Proficiency in SQL and Python
              • +
              • Experience with Unix/Linux shell
              • +
              • Experience working cross-functionally and communicating technical content to general audiences
              • +
              +

              +

              Preferred Qualifications:

              +
                +
              • Experience initiating and driving projects to completion with minimal guidance
              • +
              • Experience with web development
              • +
              • Experience with distributed computing and cloud services
              • +
              • Knowledge of SAS and R
              • +
              • Knowledge of agile methodology

              @@ -60942,7 +69395,7 @@ b6b0df53-4a7d-4f5d-ab4b-5df59da32119,235604587,Roche,Finance Center of Excellenc

              BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

              Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

              -
              ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Manager--Stress-Testing-Models---Analytics_R230008687?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-06-28T17:53:22.808Z,False,0,3,18,https://talenthub.vectorinstitute.ai/jobs/230331237-senior-manager-stress-testing-models-analytics-at-bmo-financial-group,,expired,2023-05-29T15:39:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +
              ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Audit-Manager--Data-Science_R230008374?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-06-08T20:54:00.000Z,False,0,2,17,https://talenthub.vectorinstitute.ai/jobs/226183241-audit-manager-data-science-at-bmo-financial-group,,expired,2023-05-16T15:39:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, f7ca6426-0a3b-4b85-8bfb-1e700b1b6938,216734077,Sandbox - La Boite a Films Inc.,"Student/Recent Grad Consulting Opportunity: AI, Creative Media and Learning",full,"Toronto, ON, Canada",2023-04-19T19:45:12.678Z,"

              The opportunity

              Sandbox Labs is seeking a current student or recent graduate from a Master’s or PhD program in Ontario to engage in the following research activities over the summer of 2023:

                @@ -60960,209 +69413,6 @@ f7ca6426-0a3b-4b85-8bfb-1e700b1b6938,216734077,Sandbox - La Boite a Films Inc.,"

                Sandbox Labs is the R&D arm of Sandbox Inc. With our partners in the public, private and nongovernmental sector, we draw on our multidisciplinary expertise to conduct research and develop new ideas and tools that leverage technology to advance education and learning.

                Sandbox Inc. is a digital media and technology agency blending skill sets in design, learning, technology and filmmaking to help our clients communicate, engage and educate their audiences in a digital-first environment. We are proud to support clients around the world who improve lives on a local, national and global scale, from universities to international organizations, trade unions to research institutions.

                ",patricia@sandboxinc.ca,,patricia@sandboxinc.ca,https://sandboxinc.ca/,,,2023-05-15T22:40:00.000Z,False,14,0,316,https://talenthub.vectorinstitute.ai/jobs/216734077-student-recent-grad-consulting-opportunity-ai-creative-media-and-learning-at-sandbox-la-boite-a-films-inc,,expired,2023-04-19T19:45:00.000Z,website-existing-job-slot,Startup (1-19),Vector Quick Apply,"Software, Technology (Information and Media), Technology (Product Development)",Associate,Masters Degree,New Posting, -abff5f32-55a2-4b49-977a-ef51dc290284,213689318,TELUS,DataOps Engineer,on_site,"Ontario, Canada",2023-04-09T17:42:02.487Z,"
                -
                -

                -
                -

                -

                We are the TELUS Data Strategy & Enablement team, our mission is to drive TELUS to become a world-class data insights driven organization, delivering world-class data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data, and a data-product/data platform oriented culture. Our team members are passionate, dynamic, entrepreneurial and highly engaged, driven to achieve great outcomes for our customers, our team members, our communities and our environment.

                -

                -

                We believe in continuous meaningful transformation integrating dynamic change in our professional lives. Our team members are always learning, experimenting and applying tuition value into everything we do.

                -

                -

                Join our team

                -


                We are searching for a talented candidate to join our team in the role of DataOps Engineer. Reporting to the Manager – Analytics and Business Intelligence Platforms, the successful candidate will be responsible for designing, implementing, and supporting solutions to enable business product teams to drive value by realizing Analytics and Machine Learning use cases. This role will support our evolving DataOps landscape by providing analytics capabilities built upon unified scalable platforms, advanced AI tooling, improved speed to market and automation. This role will be an agent of change and support our evolving strategy, data, and analytics roadmaps as well as provide strong direction for our Cloud based Analytics and Business Intelligence platforms.

                -

                Here\'s How:

                -

                -
                  -
                • Collaborating with Business and Product teams to enable valuable Analytics and Machine Learning use cases
                • -
                • Designing and implementing DataOps and MLOps processes and automations using the latest tools to effectively operationalize Analytics and AI workflows
                • -
                • Staying up to date of new software, tools, and organizations that are having an impact on the Analytics and Machine Learning landscape
                • -
                • Provisioning infrastructure and secure, reliable data-centric services and applications in GCP for Data & Analytics users across the TELUS enterprise
                • -
                • Identify opportunities to make substantial improvements to the deployment and support of our DataOps environment demonstrating a DevOps mindset while improving our reliability and speed to market
                • -
                • Foster internal and external stakeholder relationships, including building highly collaborative relationships with business product teams and technical teams
                • -
                -

                -
                -
                -
                -

                -
                -


                What you bring

                -

                -
                  -
                • You are passionate about Agile culture and DevOps practices
                • -
                • Your have a keen interest in Data Analytics and Machine Learning, and are familiar with the machine learning life cycle
                • -
                • Experience with the data offerings in Google Cloud Platform (e.g. BigQuery, Dataproc, Dataflow, Vertex AI)
                • -
                • You have experience in implementing CI/CD processes and integrating source code version control (e.g. GitHub) with automated workflows.
                • -
                • You have hands on experience in Infrastructure-as-Code (e.g. Terraform, Pulumi) and the Python programming language
                • -
                • You are a skilled relationship builder and skilled at prioritization, negotiation and influencing
                • -
                • You can communicate clearly and effectively in both technical and business matters, and are able to translate technical considerations into business implications
                • -
                • You can pivot between supporting the urgent needs of the business and working on strategic initiatives
                • -
                • You have experience working on and supporting large, complex technical projects that involve multiple stakeholders and business units
                • -
                -

                -

                Great-to-haves:

                -

                -
                  -
                • Undergrad in Computer Science, Engineering, Mathematics, Science or equivalent
                • -
                • 3+ years of progressive and relevant work experience with data/analytics platforms, DevOps, and/or machine learning
                • -
                • GCP Professional Certification
                • -
                -

                -
                -
                -
                ",,https://careers.telus.com/job/Toronto-DataOps-Engineer-ON/568456717/,feed-importer@jobboard.io,,,,2023-05-10T18:46:51.657Z,False,0,10,33,https://talenthub.vectorinstitute.ai/jobs/213689318-dataops-engineer-at-telus,,expired,2023-04-09T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, -55a16c6e-b7d9-43d3-8a2e-7d3783083fec,213971489,BMO Financial Group,"Head, BMO Commercial Data Sciences",on_site,"Ontario, Canada",2023-04-10T17:12:02.112Z,"
                -

                Address:

                100 King Street West

                -

                -

                Job Family Group:

                Data Analytics & Reporting

                -

                -

                -

                -

                The BMO Commercial Data & Analytics team is growing to meet the needs of the BMO Commercial business. BMO Commercial is a top 5 North American Commercial Bank and seeks to enhance all aspects of its businesses by leveraging vast amounts of data via analytical approaches. The aim of the team is to grow the business, minimize costs, reduce losses and foster data-backed decision making locally at the client level and in aggregate at every business level. This is an exciting time to be with BMO Commercial Data & Analytics, with several in-flight initiatives, and business partners that are engaged to drive value for our business.

                -


                The head of BMO Commercial, Data Sciences will apply knowledge of advanced analytic algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence, data models) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. The Head will also apply strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insights in a way that resonates with business/groups. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

                -

                -

                The role will support the overall BMO Commercial Data & Analytics practice, including making recommendations that broadly support a best-in-class Data & Analytics function. A deep, integrated understanding of Commercial Banking is required to effectively support our Commercial growth ambitions.

                -

                -

                Responsibilities:

                -

                -
                  -
                • Acts as a trusted advisor to senior leaders for making business decisions and implementing strategic initiatives.
                • -
                • Provides thought leadership and strategic advice to businesses through “art of the possible” conversations and demonstrating value though “Proof of Values”.
                • -
                • Networks with industry contacts to gather competitive insights and best practices.
                • -
                • Recommends business priorities, advises on resource requirements and develops roadmap for strategic execution.
                • -
                • Makes strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.
                • -
                • Structures loosely defined and complex business problems; determines new experimentation methods and statistical techniques to design solutions.
                • -
                • Acts as the prime contact for internal/external stakeholder relationships, which may include regulators.
                • -
                • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                • -
                -
                  -
                • Leads discovery process with stakeholders to identify business requirements and expected outcome and to select relevant sources of data/information.
                • -
                • Develops an expert understanding of business/group challenges.
                • -
                • Develops the business case by identifying needs, analysing potential options and assessing expected return on investment.
                • -
                • Drives analytics innovation; poses open-ended questions, explores new ideas, and chooses appropriate techniques for solving business problems.
                • -
                • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
                • -
                • Defines business requirements for analytics & reporting to ensure data insights inform business decision making.
                • -
                • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                • -
                • Identifies/creates the appropriate algorithm to discover patterns.
                • -
                • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, refine hypotheses.
                • -
                • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                • -
                • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                • -
                • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                • -
                • Fosters strong internal and external networks and works with and across multiple teams to achieve business objectives.
                • -
                -
                  -
                • Manages resources and leads the execution of strategic initiatives to deliver on business and financial goals.
                • -
                • Diagnoses and resolves predictive / analytical model performance issues while monitoring system performance and implementation of efficiency improvements.
                • -
                • Leads change management programs of varying scope and type, including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
                • -
                • Collaborates across BMO to develop communications strategies and ensure consistency of messaging, in order to positively influence or change behaviour.
                • -
                • Sets up change control and testing processes to ensure the quality and consistency of ongoing maintenance work.
                • -
                • Leads and designs and implements policies and procedures around new data sets to ensure data quality, consistency, repeatability, and accuracy of insights.
                • -
                • Supports development of tools and delivers training for data analytics and AI.
                • -
                -
                  -
                • Recommends measures to improve organizational effectiveness.
                • -
                • Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
                • -
                • Ensures alignment between values and behaviour that fosters diversity and inclusion.
                • -
                • Regularly connects work to BMO\'s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.
                • -
                • Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders.
                • -
                • Improves team performance, recognizes and rewards performance, coaches employees, supports their development, and manages poor performance.
                • -
                • Broader work or accountabilities may be assigned as needed.
                • -
                -

                -

                Qualifications:

                -
                  -
                • Typically 9+ years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience.
                • -
                • Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience.
                • -
                • Experience with distributed computing language (e.g. Hive / Hadoop/ Spark) & cloud technologies (e.g. AWS Sagemaker, AzureML).
                • -
                • Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, , Perl) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
                • -
                • Seasoned expert with extensive industry knowledge.
                • -
                • Technical leader viewed as a thought leader for innovation.
                • -
                • Verbal & written communication skills - Expert.
                • -
                • Analytical and problem solving skills - Expert.
                • -
                • Influence skills - Expert.
                • -
                • Collaboration & team skills; with a focus on cross-group collaboration - Expert.
                • -
                • Able to manage ambiguity.
                • -
                -

                -

                -

                We’re here to help

                -

                -

                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                -

                -

                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                -

                -

                To find out more visit us at https://jobs.bmo.com/ca/en.

                -

                -

                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                -

                -

                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                -
                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Head--BMO-Commercial-Data-Sciences_R230002213?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-05-10T18:52:42.754Z,False,0,2,17,https://talenthub.vectorinstitute.ai/jobs/213971489-head-bmo-commercial-data-sciences-at-bmo-financial-group,,expired,2023-04-10T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Masters Degree,New Posting, -ac0c1177-db38-4688-8d4b-ca9ff0d74119,213170149,TD Bank Group,Data Scientist II,on_site,"Toronto, ON",2023-04-07T17:24:03.583Z,"
                -

                Company Overview

                -
                -

                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                -

                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                -
                -

                -

                Department Overview

                -
                -

                What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data. As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                -

                The TDBG Global AML Compliance Department is accountable for establishing TDBG’s Global Anti-Money Laundering and Anti-Terrorist Financing Program (AML/ATF) to ensure that all TDBG businesses remain compliant with AML/ATF regulatory expectations in all jurisdictions where TDBG operates. This includes setting consistent standards across business segments that maybe further tailored to specific business or jurisdictional requirements; conducting annual enterprise-wide AML risk assessments; maintaining the Global AML Policy (including Know Your Customer and Enhanced Due Diligence, record keeping & retention requirements); currency transaction and suspicious transaction monitoring and reporting; screening TDBG customers against regulatory watch lists (i.e., Name Matching); a hierarchy of designated AML officer functions; enterprise-wide and specialized AML training of employees; and independent AML testing.

                -

                TD’s vision for the future? Tailored, customized banking products, services, and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                -
                -

                -

                Job Description

                -
                -

                About this Role

                -

                While you are a natural leader, you don’t mind getting your hands dirty. And in your role, you will simultaneously work to create data related solutions to drive business results, while working with senior leadership to communicate timelines and progress and identify business opportunities. You are not only a functional expert, you also possess broad managerial experience and specialized knowledge of regulatory and industry frameworks, using that knowledge to inform development cycles and develop industry leading analytic solutions. Most of all, your work ethic and thought leadership inspires your team to innovate with purpose, execute with speed, collaborate to deliver world-class data solutions and ultimately become leaders themselves.

                -

                We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work enterprise wide.

                -

                As a Data Scientist II, these are the essential qualifications of this role:

                -
                  -
                • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core work you’re doing
                • -
                • Provide maintenance of transaction monitoring scenarios, and analytical queries in support of the bank’s strategic efforts to mitigate money laundering and terrorist financing risk
                • -
                • Conduct activities related to AML/ATF scenario performance tuning, machine learning execution and model performance monitoring, and to satisfy audit, compliance, and regulatory requirements
                • -
                • Use statistical and machine learning techniques to build and maintain effective and efficient transaction monitoring, customer behavior, and risk scoring models
                • -
                • Work closely with business owners to find opportunities and serve as an ambassador for data science
                • -
                • Design and deliver enterprise analytic solutions for customers
                • -
                • Develop powerful business insights using advanced machine learning techniques
                • -
                • Build complex statistical models that learn from and scale to petabytes of data.
                • -
                • Analytical thought leadership and staying ahead of developments in data mining and the application of data science
                • -
                • Work independently as a senior lead and may manage and direct activities related to analysis, design, and support of technical data management solutions on various projects ranging in complexity and size
                • -
                • Generally accountable for a significant business management area that typically has enterprise-wide impact or accountability
                • -
                • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels.
                • -
                -
                -

                -

                Requirements

                -
                -What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                -
                  -
                • Undergraduate degree in data science, computer science, statistics, or related field.
                • -
                • Five (5) or more years of relevant experience
                • -
                • Expert knowledge of Python, SQL, and R are essential. Others such as SAS, Java, Scala, tableau etc. would be good to have.
                • -
                • AML knowledge and experience on data-driven or data-centered projects would be an asset.
                • -
                • Expert data explorations and analysis skills and ability to apply statistical techniques and data mining tools to solve business problem.
                • -
                • Extensive work experience building predictive models with machine learning methods.
                • -
                • Experience in query optimization, debugging and automation.
                • -
                • Excellent written and oral communication, analytical and presentation skills, including ability to communicate with individuals from various backgrounds.
                • -
                • Excellent multi-tasking skills: ability to adapt to and manage changing priorities
                • -
                • Experience with working with direct and indirect reports and ability to collaborate with various teams to provide business insights and to inform business strategies.
                • -
                -
                -

                -

                Additional Information

                -
                -#LI-Hybrid #LI-Post #datascientist

                -
                -

                -

                Hours

                -
                37.5
                -

                -

                Inclusiveness

                -

                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                -

                -
                ",,https://jobs.td.com/en-CA/jobs/18114673/data-scientist-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-10T18:33:19.696Z,False,0,8,46,https://talenthub.vectorinstitute.ai/jobs/213170149-data-scientist-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18114673/data-scientist-ii-toronto-ca/,expired,2023-04-07T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, b51f9c95-212f-48e9-b108-671b7afde108,214825881,Borealis AI,Senior Machine Learning Researcher - Atom Group,on_site,"Ontario, Canada",2023-04-13T17:27:03.814Z,"

                What\'s the opportunity?

                As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                @@ -61196,109 +69446,7 @@ b51f9c95-212f-48e9-b108-671b7afde108,214825881,Borealis AI,Senior Machine Learni

                Inclusion and Equal Opportunity Employment

                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request

                ",,https://www.borealisai.com/careers/?gh_jid=5870636002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-05-13T18:58:22.890Z,False,0,7,54,https://talenthub.vectorinstitute.ai/jobs/214825881-senior-machine-learning-researcher-atom-group-at-borealis-ai,,expired,2023-04-13T17:27:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,PhD,New Posting, -1da59b8f-6556-44c0-adcd-4271e4526d31,219391138,Scotiabank,"Manager, Data Platforms Risk & Audit Management - CID&A",on_site,Canada : Ontario : Toronto,2023-04-27T17:22:02.803Z,"

                -

                -

                -

                -

                Requisition ID: 175932

                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                -

                -

                Purpose:

                -

                -

                The Data Platform Management team is looking for a Manager, Data Platforms Risk & Audit Management to lead the team’s risk management and audit remediation activities. Working with the Data Office, technology partners and risk and audit stakeholder, this role will be responsible for ensuring alignment between our data platform strategy and roadmaps with committed audit deliverables and for leading the design and execution of a risk and audit management program.

                -

                -

                The selected candidate will play a crucial part in defining and implementing a Data Risk and Control Framework and its associated processes for Data Risk identification, monitoring and reporting, partnering with various businesses and functions to strengthen CID&A’s Risk Management practices.

                -

                -


                Accountabilities:

                -

                -

                • Develop and execute a framework for risk and audit issues management, including the creation of a risk and audit issue registry for data platforms.
                • Track risk and audit remediation tasks and ensure they are being addressed in a timely and effective manner.
                • Coordinate issue remediation activities with and drive a consistent engagement from issue owners and stakeholders across the organization.
                • Provide subject matter expertise and act as the primary point of contact for risk and audit management activities.
                • Support and maintain Data Platforms risk and audit related documentation and tools
                • Manage follow-ups on the new findings raised from regulatory and internal divisional audits to ensure all deliverables are up-to-date and properly documented.
                • Assess risks, identify key controls, and document appropriate risk mitigation plans to execute on audit deliverables. Applicants should be able to identify control gaps effectively and efficiently, as well as summarize and clear findings with senior stakeholders.
                • Ensure data platform roadmaps are in alignment with audit commitments and include solutions to address identified risks.
                • Support Issue Owners in defining Management Action Plans in response to new audit findings.
                • Communicate risk and audit issues to executive leadership and provide insights and recommendations for risk management strategies.
                • Collaborate with cross-functional teams to ensure alignment and consistency in risk management practices.

                -

                -

                What we're looking for:

                -

                -

                • Experience auditing design and operating effectiveness of data controls frameworks in large scale organizations or an experienced IT Risk professional with an interest and desire to expand into data controls framework.
                • The ability to effectively manage senior stakeholder relationships, building credibility and trust, demonstrating strong communication, technology and auditing skills and business understanding to effectively influence and negotiate with stakeholders.
                • Experience managing large projects in complex operational environments and working with multiple stakeholders across the organization.
                • Ability to independently perform and manage risk and controls assessments, end-to-end, and ability to effectively collaborate with audit teams and stakeholders.
                • Strong communications skills to facilitate meetings with various stakeholders, communicate ambiguous topics in a structured manner and deliver presentations/demos.
                • Attention to details, high standards for quality.

                -


                It would be nice if you had...

                -

                -

                • Experience in IT audit, cloud implementations and data migrations.
                • Knowledge of Google Cloud Platform data capabilities.
                • Experience auditing business applications including application controls, access, and security administration.
                • Experience of data analytics and data visualization would be highly desirable: the ability to utilise and analyse data to highlight control gaps and areas for improvement would be of benefit.
                • Prior experience with Data Management projects such as Data Governance, Data Quality, Master Data Management, Reference Data Management, Metadata Management; Hands-on experience defining and testing data controls.
                • Excellent problem-solving skills, ability to see the big picture with high attention to critical details.
                • Bilingual in Spanish would be an asset.

                -

                -


                Requirements & Qualifications:

                -

                -

                • Post-Secondary education completed. Advanced degree preferred but not mandatory
                • 5+ years of experience in data management, data governance, internal control, risk management, compliance, audit and/or related areas
                • Knowledge of database platforms, ETLs and reporting/BI tools preferred

                -

                -

                -

                -

                Location(s): Canada : Ontario : Toronto

                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Platforms-Risk-&-Audit-Management-CID&A-ON-M5H1H1/568814817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-12T17:09:00.000Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/219391138-manager-data-platforms-risk-audit-management-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Platforms-Risk-&-Audit-Management-CID&A-ON-M5H1H1/568814817/,expired,2023-04-27T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -57fc6149-2cd2-441d-a83a-75e81571f2fe,222282787,CIBC,"Senior Consultant, Billing & Service Analytics - Outsourced Technology and Cloud Services",on_site,"Ontario, Canada",2023-05-04T17:06:02.663Z,"
                -

                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                -

                -

                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                -

                -

                To learn more about CIBC, please visit CIBC.com

                -

                -

                Job Description

                -

                -

                What You’ll Be Doing

                -

                -

                As a Senior Consultant – Billing & Service Analytics, you will be supporting the financial and contractual governance of our outsourced technology and cloud infrastructure services. You will use a variety of tools and processes to establish and implement a robust FinOps practice to achieve effective cloud cost management, using meaningful analytics from both structured and unstructured data. These outputs will be used to provide effective decision support guidance for our internal partners and senior executives.

                -

                At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview

                -

                -

                How You’ll Succeed

                -
                  -
                • -Financial Management Expertise – Must have prior work experience with core financial management and accounting activities such as planning, forecasting, accruals, and financial variance reporting.
                • -
                • -FinOps & Cloud Cost management - Must have prior experience managing Public cloud infrastructure spending and cost optimization practices.
                • -
                • -Information Technology Outsourcing and Public Cloud – Must have previous experience with, and a working understanding of outsourced information technology and public cloud infrastructure.
                • -
                • -Data Engineering and Data Science – Must have an awareness of current tools and methods used to support data engineering and data science analytics to provide insight and decision support for Senior Executives and management within CIBC.
                • -
                • -Creative Problem Solving – Demonstrated ability to thrive in ambiguity, understand business context quickly and connect the dots. Must be comfortable operating at a strategic level and also driving into detail as needed, and back. Continuous improvement is part of your DNA.
                • -
                -

                -

                Who You Are

                -
                  -
                • -You can demonstrate experience in: Cloud computing, FinOps Operating Model, Vendor Governance. Bachelors Degree in Finance, business or technology with excellent MS Excel skills. Exposure to Azure cloud is a must. Have the ability to multi-task and make sound judgments in a fast-paced environment. You are focused, organized, and have the ability to effectively manage multiple activities of varying complexity in a complex operational environment while under time constraints.
                • -
                • -Analytical & Tech Savvy. You have a high level understanding of various technologies. You enjoy investigating complex problems, and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way.
                • -
                • -You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do and have a curiosity to learn best practices and bring to CIBC to improve. Understand business requirements and translate them into a solution. -
                • -
                • -You act like an owner. You thrive when you\'re empowered to take the lead
                • -
                • -You understand that success is in the details. You notice things that others don\'t. Your critical thinking skills help to inform your decision making.
                • -
                • -You embrace and champion change. You\'ll continuously evolve your thinking and the way you work in order to deliver your best.
                • -
                • -Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.
                • -
                • -You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.
                • -
                • -Values matter to you. You bring your real self to work, and you live our values - trust, teamwork, and accountability.
                • -
                -

                -

                What CIBC Offers

                -

                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                -
                  -
                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program
                • -
                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients
                • -
                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development
                • -
                -

                -

                What you need to know

                -
                  -
                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                • -
                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                • -
                -

                -

                -

                -

                -

                -

                Job Location

                Toronto-81 Bay, 32nd Floor

                Employment Type

                Regular

                -

                Weekly Hours

                37.5

                Skills

                -

                Azure Cloud Services, Cloud Computing, FinOps Operating Model
                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Consultant--Billing---Service-Analytics---Outsourced-Technology-and-Cloud-Services_2306965?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-05-12T17:13:00.000Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/222282787-senior-consultant-billing-service-analytics-outsourced-technology-and-cloud-services-at-cibc,,expired,2023-05-04T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -c913ad69-5fdf-4648-8b41-91d25981a23d,222290813,TD Bank Group,Sr Business Insights Analyst,on_site,"Toronto, ON",2023-05-04T17:24:08.109Z,"
                +53343a3b-d1a8-459f-a67b-0a37ce73ed85,219391610,TD Bank Group,Business Intelligence Specialist,on_site,"Toronto, ON",2023-04-27T17:24:02.117Z,"

                Company Overview

                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                @@ -61307,88 +69455,49 @@ c913ad69-5fdf-4648-8b41-91d25981a23d,222290813,TD Bank Group,Sr Business Insight

                Department Overview

                -

                The Credit Loss Allowance & Business Insights team is a group of Business Insights experts that thrive to improve our Risk Management monitoring and operations related to Retail Credit Risk Management. Working closely with 2A Risk Partners, Line of Business, Technology, and Finance partners, we provide analysis to develop and support programs and initiative designed to improve the risk experience for our colleagues and customers.

                -

                We believe in forward-thinking leadership and insights. As a member of the Retail Risk team, you will support the Real Estate Secured Lending Risk team through comprehensive reporting and analytics. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data. The Business Intelligence group explores into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization.

                -

                This is the team building the tools, reports, dashboards, cubes, and scorecards that deliver and process vital data to business partners across the enterprise. Joining us in Business Intelligence & Reporting is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                +

                TD Information & Cyber Security covers the development and management of security strategies, policies and programs to assess, prioritize and mitigate business risk with technology controls. Priorities include: mitigating and managing cyber security threats, ensuring systems availability, aligning with global regulatory risk and compliance requirements, managing systems and network complexity and partnering with businesses for better technology delivery by providing advice on technology controls.

                +

                Enterprise Protect & OCISO, BISCG department is responsible for providing policies and governance for managing risk across the organization through a set of technology-based standards and controls. The Technology Risk Services Risk Reporting teams are responsible for delivery of risk metrics and reports for the Enterprise and business segments to ensure visibility into current and emerging risks enabling investment decisions and prioritization of risk reduction efforts.

                Job Description

                -

                About this Role

                -

                Share your most relevant experience, credentials, and knowledge for this role, as well as these essential requirements and attributes:

                -

                CUSTOMER

                -
                  -
                • Apply understanding of respective business strategies to produce relevant and meaningful data analysis and materials to support the creation and maturation of business goals and objectives
                • -
                • Develop analysis and proper dashboards to illustrate business trends and identify areas of business opportunities
                • -
                • Produce insights and recommend business actions to support business strategy and/or solve business problems
                • -
                • Work in partnership with various functional areas to provide day-to-day support and delivery of analytics
                • -
                • Execute on data requests accurately and within a timely manner
                • -
                • Represent functional area as an analytics & insights professional and key resource
                • -
                • Act as a bridge to translate business requirements to analytics and reporting needs for a given domain while leveraging tools/techniques/ methods that can be easily interpreted by the target audience
                • -
                • Provides day-to-day support and delivery of analytics insights and collateral
                • -
                • Contribute to the identification of key performance indicators
                • -
                • Produce specialized reporting packages, dashboards, and scorecards for various portfolios including, but not limited to Small Business Banking (SBB) and TD Auto Finance portfolios within TD.
                • -
                • Lead the implementation of initiatives in support of overall business/function strategy
                • -
                • Conduct analysis to provide improved BI to inform management leadership team
                • -
                • Craft complex and comprehensive BI reporting packages and dashboards utilizing data infrastructure, localized datamarts and external data sources
                • -
                • Validate the quality and integrity of the data included in all reporting
                • -
                • Develop substantial and insightful commentary/insights on new and existing reporting packages.
                • -
                -

                SHAREHOLDER

                -
                  -
                • Provide suggestions, ideas, and opportunities to support business needs
                • -
                • Identify opportunities for business/revenue growth and/or efficiencies for an assigned business or function
                • -
                • Identify and investigate data/analytics related issues
                • -
                • Ensure data analysis and insights are reviewed by management to validate accuracy and minimize any potential errors
                • -
                • Develop analysis to corroborate initial proof of concept
                • -
                • May be required to educate/train business users on how to integrate analytics into decisions
                • -
                • Provide recommendations on financial / monetization goals to deliver on (e.g. quantify functional value, cost savings and revenue generated etc.)
                • -
                • Build business requirements and facilitate project execution to develop insights
                • -
                • Utilize both quantitative and qualitative methodologies to interpret and present data effectively and clearly
                • -
                • Execute with excellence on key programs / plans and data requests accurately and within a timely manner
                • -
                -

                EMPLOYEE / TEAM

                +

                About This Role

                +

                Reporting to the Chief Product Owner for the Enterprise Protect Risk Factory, the candidate will be a member of a high performing team of Technology and Risk professionals utilizing personal experience and Business Intelligence expertise to deliver best in class metrics and reports. Responsibilities include:

                  -
                • Continuously enhance knowledge /expertise in own area and keep current on emerging trends /developments and grow knowledge of the business, analytical tools and techniques
                • -
                • Prioritize and manage own workload to deliver quality results and meet assigned timelines
                • -
                • Support a positive work environment that promotes service to the business, quality, innovation, and teamwork; ensure timely communication of issues/ points of interest
                • -
                • Identify and recommend opportunities to enhance productivity, effectiveness, and operational efficiency
                • -
                • Establish effective relationships across multiple business and technology partners, program, and project managers
                • -
                • Participate in knowledge transfer within the team and other business units, including participation in cross-functional groups or committees (e.g., Data Councils)
                • +
                • Leading reporting enhancement workshops, leveraging Business Intelligence and Reporting expertise to ensure definition and design of high quality metrics and best in class reporting capabilities
                • +
                • Supporting change awareness activities, providing expertise on KRI design, developing materials and supporting ongoing data analysis requests.
                • +
                • Demonstrate expert knowledge of all data sources and data lineage for the reporting data mart(s) with a strong understanding of how these data sources are utilized for reporting purposes
                • +
                • Own and drive improvements to the Risk Reporting Factory processes with solutions that mitigate risk and maximize availability of service, efficiency and effectiveness
                • +
                • Serve as the business risk reporting team lead in ED&A’s data governance processes, identifying and escalating data issues, engaging data stewards and driving remediation at books of record.

                Requirements

                -What can you bring to TD?

                -

                BREADTH & DEPTH

                +

                Job Requirements

                  -
                • Work independently as the senior analyst / subject matter expert and may coach and educate others
                • -
                • Retail Product knowledge experience an asset
                • -
                • Oversee and/or independently perform tasks from end to end
                • -
                • Focus on short to medium -term issues (e.g. monthly-quarterly)
                • -
                • Strong understanding of data manipulation, with preference to SAS, SQL, Python, and Excel
                • -
                • Above average understanding of EDW/EDPP customer and transactional
                • -
                • Experience with visualization tools such as Tableau an asset
                • -
                • Experience with Spark, Scala, Hive, and Impala an asset
                • +
                • University Degree
                • +
                • Strong written and verbal communication skills and comfortable communicating at all levels of the organization, strong presentation skills a must
                • +
                • Must be proficient with technology tools including MS Office, databases and reporting tools
                • +
                • Ability to manage multiple efforts simultaneously, strong project management, reporting, and organizational skills
                • +
                • Demonstrated ability to participate in complex, comprehensive or large projects and initiatives
                • +
                • Sound knowledge of one or more technology controls or security domains, disciplines and practices
                • +
                • Preferred knowledge of financial industry’s technology controls and security risk issues
                • +
                • Strength in prioritizing and managing your own workload to deliver quality results and meet timelines with limited guidance of management
                • +
                • 7+ years’ experience in the area of database technologies in a large organization (experience in a high transaction, large/complex/matrix business environment ideally within Financial Services an asset) including Technology and Cyber-security risk metrics and reporting
                • +
                • Business/technology experience with experience collaborating with others in highly matrix, cross-functional environment
                -
                -Educational Requirements/Accreditations:

                -
                • Master’s Degree in business, science, statistics, engineering, or other quantitative discipline
                -

                Experience:

                +
                +

                +

                Additional Information

                +
                +

                Join in on what others in TD Technology Solutions are doing:

                  -
                • Must Have: 5+ years of relevant experience in analytics and/or data science
                • -
                • Must Have: 3-5 years of coding experience with SAS/SQL
                • -
                • Knowledge of Akora platforms and data accessing methods will be considered an asset
                • -
                • Working knowledge of Tableau visualization tool
                • -
                • Strong relationship builder and presenter
                • -
                • Experience & effectively communicate analysis results to business audiences not familiar with complex data and analytics
                • +
                • Inspire a positive work environment and help champion quality, innovation, teamwork and service to the business.
                • +
                • Learn voraciously, stretch your thinking,
                +

                #tdcybersecurity

                -
                -

                -

                Flexible Work Options

                -
                N/A

                Hours

                37.5
                @@ -61396,7 +69505,7 @@ c913ad69-5fdf-4648-8b41-91d25981a23d,222290813,TD Bank Group,Sr Business Insight

                Inclusiveness

                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                -
                ",,https://jobs.td.com/en-CA/jobs/18328009/sr-business-insights-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-12T17:14:00.000Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/222290813-sr-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18328009/sr-business-insights-analyst-toronto-ca/,expired,2023-05-04T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +
                ",,https://jobs.td.com/en-CA/jobs/17470205/business-intelligence-specialist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-19T03:28:00.000Z,False,0,2,12,https://talenthub.vectorinstitute.ai/jobs/219391610-business-intelligence-specialist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17470205/business-intelligence-specialist-toronto-ca/,expired,2023-04-27T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, 117e0160-e3f7-4320-8999-7f66c7ebe961,216107707,OMERS,"Data Engineer, Finance Data",on_site,"Ontario, Canada",2023-04-17T17:42:03.432Z,"

                @@ -61465,66 +69574,6 @@ c913ad69-5fdf-4648-8b41-91d25981a23d,222290813,TD Bank Group,Sr Business Insight

                OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Data-Engineer--Finance-Data_JR-4567?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-05-17T20:56:05.290Z,False,0,20,70,https://talenthub.vectorinstitute.ai/jobs/216107707-data-engineer-finance-data-at-omers,,expired,2023-04-17T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -53343a3b-d1a8-459f-a67b-0a37ce73ed85,219391610,TD Bank Group,Business Intelligence Specialist,on_site,"Toronto, ON",2023-04-27T17:24:02.117Z,"
                -

                Company Overview

                -
                -

                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                -

                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                -
                -

                -

                Department Overview

                -
                -

                TD Information & Cyber Security covers the development and management of security strategies, policies and programs to assess, prioritize and mitigate business risk with technology controls. Priorities include: mitigating and managing cyber security threats, ensuring systems availability, aligning with global regulatory risk and compliance requirements, managing systems and network complexity and partnering with businesses for better technology delivery by providing advice on technology controls.

                -

                Enterprise Protect & OCISO, BISCG department is responsible for providing policies and governance for managing risk across the organization through a set of technology-based standards and controls. The Technology Risk Services Risk Reporting teams are responsible for delivery of risk metrics and reports for the Enterprise and business segments to ensure visibility into current and emerging risks enabling investment decisions and prioritization of risk reduction efforts.

                -
                -

                -

                Job Description

                -
                -

                About This Role

                -

                Reporting to the Chief Product Owner for the Enterprise Protect Risk Factory, the candidate will be a member of a high performing team of Technology and Risk professionals utilizing personal experience and Business Intelligence expertise to deliver best in class metrics and reports. Responsibilities include:

                -
                  -
                • Leading reporting enhancement workshops, leveraging Business Intelligence and Reporting expertise to ensure definition and design of high quality metrics and best in class reporting capabilities
                • -
                • Supporting change awareness activities, providing expertise on KRI design, developing materials and supporting ongoing data analysis requests.
                • -
                • Demonstrate expert knowledge of all data sources and data lineage for the reporting data mart(s) with a strong understanding of how these data sources are utilized for reporting purposes
                • -
                • Own and drive improvements to the Risk Reporting Factory processes with solutions that mitigate risk and maximize availability of service, efficiency and effectiveness
                • -
                • Serve as the business risk reporting team lead in ED&A’s data governance processes, identifying and escalating data issues, engaging data stewards and driving remediation at books of record.
                • -
                -
                -

                -

                Requirements

                -
                -

                Job Requirements

                -
                  -
                • University Degree
                • -
                • Strong written and verbal communication skills and comfortable communicating at all levels of the organization, strong presentation skills a must
                • -
                • Must be proficient with technology tools including MS Office, databases and reporting tools
                • -
                • Ability to manage multiple efforts simultaneously, strong project management, reporting, and organizational skills
                • -
                • Demonstrated ability to participate in complex, comprehensive or large projects and initiatives
                • -
                • Sound knowledge of one or more technology controls or security domains, disciplines and practices
                • -
                • Preferred knowledge of financial industry’s technology controls and security risk issues
                • -
                • Strength in prioritizing and managing your own workload to deliver quality results and meet timelines with limited guidance of management
                • -
                • 7+ years’ experience in the area of database technologies in a large organization (experience in a high transaction, large/complex/matrix business environment ideally within Financial Services an asset) including Technology and Cyber-security risk metrics and reporting
                • -
                • Business/technology experience with experience collaborating with others in highly matrix, cross-functional environment
                • -
                -
                -

                -

                Additional Information

                -
                -

                Join in on what others in TD Technology Solutions are doing:

                -
                  -
                • Inspire a positive work environment and help champion quality, innovation, teamwork and service to the business.
                • -
                • Learn voraciously, stretch your thinking,
                • -
                -

                #tdcybersecurity

                -
                -

                -

                Hours

                -
                37.5
                -

                -

                Inclusiveness

                -

                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                -

                -
                ",,https://jobs.td.com/en-CA/jobs/17470205/business-intelligence-specialist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-19T03:28:00.000Z,False,0,2,12,https://talenthub.vectorinstitute.ai/jobs/219391610-business-intelligence-specialist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17470205/business-intelligence-specialist-toronto-ca/,expired,2023-04-27T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, cb8316e8-fbaa-447f-9375-655880e10572,217074573,Accenture,Industry Analytics Lead- Retail/Energy Sector,on_site,"Toronto, ON, Canada",2023-04-20T17:29:02.326Z,"

                Job Description

                @@ -61622,137 +69671,6 @@ cb8316e8-fbaa-447f-9375-655880e10572,217074573,Accenture,Industry Analytics Lead
                ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00152027_en&title=Industry+Analytics+Lead-+Retail%2fEnergy+Sector,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2023-05-20T18:12:38.944Z,False,0,3,28,https://talenthub.vectorinstitute.ai/jobs/217074573-industry-analytics-lead-retail-energy-sector-at-accenture,,expired,2023-04-20T17:29:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Team Lead,Bachelors Degree,New Posting, -6806caf4-c1f3-47cb-b145-69eb6cf467eb,222290265,Scotiabank,Velocity - Data Analyst Internship/Co-Op - Fall 2023 (8 months),on_site,Canada : Ontario : Toronto,2023-05-04T17:22:02.537Z,"

                -

                -

                -

                -

                Requisition ID: 177549

                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                -

                -

                Term: September 2023 - April 2024
                Application Deadline: 05/19/2023

                -

                -

                There's no better way to find your dream job than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                -

                -

                The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

                -

                -

                Is this role right for you? In this role, you will:

                -
                • Be involved in the definition of business requirements and processes, ensuring that progress can be measured against planned objectives by working with different teams, and internal partners; performing analysis and completing reports to measure project success and impact to business
                • Prepare reports and dashboards to inform strategic decision-making including trending analysis, projections and forecasts utilizing statistical modelling
                • Investigate and become an expert in available data sources of data, transform and determine how they can be interpreted for analysis
                • Flex your analytical skills by identifying and analyzing business and technical requirements to create diagrams, flow charts, and documentation
                • Make impact by constantly identifying and implementing process improvements
                • Experiment & learn!
                • -
                -

                -

                Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                -
                • You are currently enrolled in post-secondary education.
                • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                • You enjoy being involved in extracurricular activities such as conferences, clubs, and hackathons.
                • You have strong written/verbal communication and project management skills.
                • You have knowledge/experience in:
                • -
                -
                • Managing process and planning, facilitating teamwork, and coordinating the execution of multiple deliverables.
                • Interpreting and consolidating large amounts of information in actionable recommendations.
                • Using sound judgment in the creation of analysis, validation, interpretation, and presentation of findings.
                • Cleaning, transforming and visualizing large data sets working with various data formats (e.g., Enterprise Data Warehouse, Unstructured logs, XML, JSON, flat files, SAS, CSV)
                • Visualization tools like PowerBI, Tableau or Olikview
                • Data Analysis/manipulation tools for working with data (e.g., SQL, DB2, MySQL, Python, R)
                • GCP (Google Cloud Platform) to implement MLOPs, analytics and data usage patterns
                • Making sense of data, creating reports, and communicating KPI’s to those who don’t speak tech
                • -
                -

                -

                What’s in it for you?

                -
                • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                • -
                -

                -

                How do I apply?

                -

                For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationshipsover resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential.Instead,we ask that as part of your application you complete the below:

                -

                -
                1. Complete your PLUM Profile here and save as a screenshot.
                2. Complete a short one-way video interview here.
                3. Once you have completed your Plum Profile and one-way video interview, apply to the role. Reminder: when the application asks for your resume, instead upload the screenshot of your PLUM Profile!
                4. -
                -

                -

                *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                -

                -

                -

                Location(s): Canada : Ontario : Toronto

                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Analyst-InternshipCo-Op-Fall-2023-%288-months%29-ON/569923617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-22T15:57:03.736Z,False,0,9,39,https://talenthub.vectorinstitute.ai/jobs/222290265-velocity-data-analyst-internship-co-op-fall-2023-8-months-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Analyst-InternshipCo-Op-Fall-2023-%288-months%29-ON/569923617/,expired,2023-05-04T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -1256025e-40d7-444d-8b89-ec2ea37b3201,221076253,Scotiabank,"Senior Business Analyst, FIU Strategy & Analytics",on_site,Canada : Ontario : Toronto,2023-05-01T17:22:05.753Z,"

                -

                -

                Requisition ID: 176051

                -

                Tangerine is Canada’s leading direct bank. We offer flexible and accessible banking options, innovative products, and award-winning Client service. The reason why Tangerine employees come to work each day is to help Canadians live better lives. We focus on making a difference in our communities, and that includes our own internal community. It’s important to us that our employees feel empowered and enthusiastic about belonging to our Orange culture.

                -

                -

                Purpose

                -

                The Senior Business Analyst, Strategy and Analytics reports to the Senior Manager, Strategy & Analytics. The Senior Business Analyst, Strategy & Analytics is responsible for defining, investigating, and developing solutions to support the systems used in the Tangerine GSS NS (including but not limited to the Name Screening and Case Management systems). Additionally, the role will be leading and participating in initiatives to identify and action opportunities for local improvements to productivity, decision effectiveness, and the user experience.The Senior Business Analyst will work closely with IT, Business Intelligence, AML & FIU Operations, and the Tangerine AML to ensure successful delivery of objectives.

                -

                -

                Responsibilities

                -
                • Support the ongoing and periodic evaluation of existing and new systems, tools and solutions to address changing business needs and emerging threats.
                • -
                -
                • Perform ongoing development and management of systems, rules and deployed solutions.
                • Perform the monitoring and maintenance of NS strategies to address evolving trends.
                • Institute and manage a disciplined change process for regular testing and deployment of screening rules.
                • Perform analytics and reporting to generate an accurate and insightful perspective on rule effectiveness, detection rates, false positive rates and volume.
                • Drive robust processes to enhance Systems performance.
                • Maintain thorough understanding of FIU/AML Systems capabilities, gaps and opportunities.
                • Provide analytic support in the development and implementation of strategic plans.
                • Ensure accuracy and effectiveness of dedicated systems and drive periodic enhancements as needed.
                • Execute a variety of technical testing including Business Acceptance Testing and User Acceptance Testing
                • Assist the team in proposing, creating and presenting communications to management, stakeholders, and other departments on changes introduced as a result of new initiatives
                • Maintain a thorough understanding of AML/ATF and sanctions system capabilities, gaps and opportunities
                • Other duties as assigned
                • -
                -

                -

                Project Responsibilities:

                -
                • Support the Senior Manager, Strategy and Analytics to manage requirements-related activities and deliverables throughout the project life cycle (e.g. change requests, issues, risks, schedules, status reporting etc.)
                • Conduct data mining and analyses to generate insights and intelligence to support initiatives and commitments
                • Elicit requirements using interviews, document analysis, requirements workshops, surveys, use cases, scenarios, business analysis and workflow analysis
                • Write requirements / specifications using standard templates, using natural language simply, clearly, unambiguously, and concisely
                • Assist in the development of Test Plans and documentation to support testing
                • Identify, anticipate, assess, manage and resolve issues and risks related to requirements' activities and deliverables
                • Assess project issues and identify solutions to meet productivity, quality and goals
                • Participate in regular status meetings with all stakeholders, to review project deliverables and deadlines, keeping the stakeholder’s needs and requirements continuously in view
                • Produce high quality artifacts through effective business analysis, process mapping, and requirements generation
                • -
                -

                -

                Requirements

                -
                • -Experience
                  • University or College Degree or equivalent work experience
                  • Minimum 3-5 years of work related experience within the Financial Services industry
                  • Minimum 2 year experience in Compliance and AML/ATF
                  • Experience in consumer banking products (credit, deposit and cards)
                • -
                -

                -
                • -Professional Certification
                  • ACAMs certification is considered an asset
                  • International Institute of Business Analysis (IIBA) certification is considered an asset
                • -
                -

                -
                • -Specialized Knowledge
                  • Knowledge of Compliance and AML/ATF systems and troubleshooting experience
                • -
                -

                -
                • -Technical Skills
                  • Strong and proven analytical skills
                  • Strong working knowledge of data mining tools
                  • Strong working knowledge of programing languages (Visual Basic, SQL, Python)
                  • Strong technical solution management experience and skills
                  • Demonstrated experience using the MS Office Suite, in particular MS- Excel, MS- Word and preferably MS-Visio, MS-Power BI
                  • Strong business analysis skills required, including a thorough understanding of how to interpret customer business needs and translate them into application and operational requirements
                  • Experience with statistical modeling and data science methods
                  • Experience in business intelligence and analytics platforms
                • -
                -

                -

                -
                • -Abilities
                  • Ability to work autonomously under tight timelines
                  • Ability to work in a dynamic environment where processes and procedures are consistently refined
                  • Strong presentation, facilitation, analysis and problem solving skills
                  • Strong capability to work with senior business leaders
                  • Successfully engage in multiple initiatives simultaneously
                • -
                -

                -
                • -Attributes
                  • Strong verbal, written and communication skills
                  • Strong attention to detail and organizational skills
                • -
                -

                Location(s): Canada : Ontario : Toronto

                -

                At Tangerine we value the unique skills and experiences each individual brings to the team, and are committed to creating and maintaining an inclusive and accessible environment. If you require accommodation during the recruitment and selection process, please let our Recruitment team know.

                ",,https://jobs.scotiabank.com/Tangerine/job/Toronto-Senior-Business-Analyst%2C-FIU-Strategy-&-Analytics-ON-M2H0A1/569849117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-22T15:57:03.736Z,False,0,1,18,https://talenthub.vectorinstitute.ai/jobs/221076253-senior-business-analyst-fiu-strategy-analytics-at-scotiabank,https://jobs.scotiabank.com/Tangerine/job/Toronto-Senior-Business-Analyst%2C-FIU-Strategy-&-Analytics-ON-M2H0A1/569849117/,expired,2023-05-01T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -27b96c0b-b232-4a39-874a-090264c07e0c,222288288,RBC,"Manager, Stress Testing Analytics",on_site,"Toronto, ON, Canada",2023-05-04T17:16:01.859Z,"
                -

                Come Work with Us!

                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                -

                Job Title

                Manager, Stress Testing Analytics

                -

                -

                Job Description

                -

                -

                What is the opportunity?

                -

                As part of the Group Risk Management team, the Associate Director, Stress Testing Analytics will implement stress testing components and participate in risk management analytics and processes to minimize credit risk. The ideal candidate will apply extensive, in-depth knowledge, skills, and practices to perform complex assignments.

                -

                -

                What will you do?

                -
                  -
                • Develops and maintains tools used for the implementation and execution of credit risk models. These models are used in the measurement of Expected Credit Loss (ECL), Provision for Credit Losses, and RWA for internal and regulatory stress testing.
                • -
                • Execute the production of stress testing projections for internal and regulatory filings.
                • -
                • Identify ECL production challenges and conducts independent problem solving to resolve proficiently.
                • -
                • Communicate results and analyses to management and key stakeholders.
                • -
                -

                -

                -

                What do you need to succeed?

                -

                -

                Must Have:

                -
                  -
                • Experience with SAS & Python programming
                • -
                • Experience with data analytics
                • -
                • Knowledge of credit products in the financial industry
                • -
                -

                -

                Nice-to-Have:

                -
                  -
                • Familiarity with statistical modelling of credit products
                • -
                • Experience with stress testing programs in the financial industry
                • -
                -

                -

                -

                What is in it for you?

                -

                We thrive on the challenge to be our best, progressive thinking, to keep growing, and working together to build and deliver trusted reporting to help our stakeholders succeed and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                -
                  -
                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation
                • -
                • Ability to make a difference and lasting impact
                • -
                • Work in a dynamic, collaborative, progressive, and high-performing team
                • -
                • Opportunities to take on progressively greater accountabilities
                • -
                -

                -

                -

                Job Summary

                Monitors market risk and implements risk management systems and processes to minimize any risk to the market. Applies experience and seasoned knowledge, skills, and practices to perform a variety of assignments.

                Address:

                TORONTO, Ontario, Canada

                City:

                CAN-ON-TORONTO

                Country:

                Canada

                Work hours/week:

                37.5

                Employment Type:

                Full time

                Platform:

                Group Risk Management

                Job Type:

                Regular

                Pay Type:

                Salaried

                Posted Date:

                2023-05-01

                Application Deadline:

                2023-05-20
                -

                Inclusion and Equal Opportunity Employment

                -

                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                ​​​​​​​
                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                -
                -

                Join our Talent Community

                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                -
                ",,https://jobs.rbc.com/ca/en/job/R-0000057612/Manager-Stress-Testing-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-05-22T15:52:04.312Z,False,0,3,20,https://talenthub.vectorinstitute.ai/jobs/222288288-manager-stress-testing-analytics-at-rbc,,expired,2023-05-04T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,No Degree,New Posting, a8a94a1a-15f6-4b10-9678-4684ab98f5b5,224890527,Integrate.ai,Head of Science,hybrid,"Toronto, ON, Canada",2023-05-12T21:06:59.044Z,"

                Please note: Integrate.ai is one of our participating employers in the upcoming Talent Meetup with Startups and Scaleups event hosted in a hybrid capacity on May 17, 2023, from 12.00-2.00 PM. Attending employers looking to meet and interview a captive audience of AI professionals who are actively seeking new opportunities now or by Fall 2023.

                At integrate.ai, we are empowering organizations working on the world’s most important problems - from cancer research, to new drug discovery, to more equitable financial products - to solve them without compromising the world’s most sensitive data. Our integrate.ai platform enables privacy-safe AI and analytics collaboration within and between organizations without needing to directly share or move data using cutting edge machine learning and privacy enhancing technologies.

                We are hiring a Head of Science to lead our machine learning science team across a range of research and applied science initiatives. If you are a science leader with a track record of leading teams and productizing new machine learning technologies, this is a unique opportunity to drive outsized impact in an ambitious, high performing startup.

                Our current emphasis is on federated learning (covering a broad range of ML model types), automated data relevancy evaluation, and privacy enhancing technologies, but we welcome exploration into other domains that support the mission of the company to safely activate the world’s most sensitive data to solve the world’s most important problems.

                @@ -61863,900 +69781,348 @@ d5f90521-75b8-4960-b1fc-54db0b84edbe,232594692,Google,"Analytical Lead, Large Cu
              ",,"https://careers.google.com/jobs/results/117212497133347526-analytical-lead-large-customer-sales/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-06-12T15:56:02.738Z,False,0,2,17,https://talenthub.vectorinstitute.ai/jobs/232594692-analytical-lead-large-customer-sales-at-google,,expired,2023-06-04T15:51:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Team Lead,Bachelors Degree,New Posting, -b4d80446-10da-44aa-a400-488a3fc9448b,228135961,RBC,"Manager, Stress Testing and Impairment Analytics",on_site,"Toronto, ON, Canada",2023-05-22T15:47:03.961Z,"
              -

              Come Work with Us!

              At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

              Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

              -

              Job Title

              Manager, Stress Testing and Impairment Analytics

              -

              -

              Job Description

              -

              -

              What is the Opportunity?

              -

              The Stress Testing & Credit Provisioning team provides Senior Management within Risk Management, Finance, Business units (including: Capital Markets, Canadian Banking, I&TS, Wealth Management, Insurance, and legal entities) and Investor Relations with expert analysis and guidance on the Banks stress testing and credit provision, includes IFRS9, CECL and Stress testing program.

              -

              -

              Team also provides support for the review & analysis of RBC’s Enterprise Wide Stress Testing (EWST) results that are used in Board level risk appetite statements.

              -

              -

              The Manager, Stress Testing & Credit Provisioning will be executing production reporting processes, evaluating SOX control and assisting to enhance process efficiencies and reduce operational risks. As the subject matter expert on IFRS9, CECL and EWST data, you will be interacting with model implementation teams to understand the data lineage for IFRS9, CECL and EWST calculations.

              -

              -

              What will you do?

              -
                -
              • Assist in the execution and maintenance of time sensitive IFRS9 and CECL live production runs
              • -
              • Assist in maintaining reporting infrastructure for the analysis of IFRS9, CECL & Enterprise-Wide Stress Testing (EWST).
              • -
              • Assist in the timely production of the Allowance Committee decks that are critical for the approval of the allowances by the Committee. The reported numbers have a direct impact on the balance sheet and the income statements of every business line across RBC.
              • -
              • Working closely with Credit Provision Analysis and Measurement (CPAM), Stress Testing (ST), IFRS9 model and IFRS9 system teams, understand & deliver the required analyses and best practices for the reporting.
              • -
              • Continuously review and streamline current reporting processes and explore new technology for the enhancement.
              • -
              • Have a strong governance control mindset and attention to detail, to ensure correct and representative information is presented for internal & external reviews of allowances.
              • -
              -

              -

              What do you need to succeed?

              -
                -
              • Undergraduate, and preferably graduate, degree in a quantitative discipline such as physics, mathematics, statistics, engineering, economics, econometrics, actuarial science, finance and/or relevant professional qualifications, with focus on quantitative statistical and analytical skills.
              • -
              • Minimal relevant business work experience in quant groups (risk, front office, etc.) in the financial industry. Academic and/or other industry experience will be considered based on relevance.
              • -
              • More than 3-5 years programming experience with tools such as SAS, Python Excel/VBA etc.
              • -
              • Knowledge of database structure and management (SQL, SAS, etc.).
              • -
              • Quick learner with outstanding conceptual, analytical, and problem solving skills, with an ability to work towards challenging deadlines and deliver under pressure.
              • -
              -

              +b028585c-39d4-479f-b44c-197900030cf2,243217461,Avidbots,Software Developer - Machine Learning Platform (MLops),on_site,"Ontario, Canada",2023-07-05T02:18:05.706Z,"
              +

              About Avidbots:

              +

              At Avidbots, we believe in solving real world problems with autonomous cleaning robotic solutions to unlock humanity’s potential. Neo is our current ground-breaking autonomous floor scrubbing robot that enhances facility cleanliness around the world empowering reallocation of human capital to higher priority focuses…and we’re just getting started!

              Headquartered in Kitchener, ON, Canada, we are an employee-focused organization that has been certified a Great Place to Work® consecutively for the last 4 years and one of Deloitte\'s Fast 500 (2021).

              +

              Now is your opportunity to join a fast-growing technology company built on teamwork, innovation, and boundless ambition! Take a look at what Neo can do!

              -

              Nice to Have

              +

              About the role:

              +

              The Machine Learning Platform (MLP) team is responsible for developing systems and tools that enable the development and deployment of machine learning solutions to a large fleet of autonomous robots around the world. This includes supporting all stages of the machine learning lifecycle, from data acquisition and transformation, to deployment and monitoring, and collaborating with other teams on model development and training.

              +

              You will join a small team with the opportunity to have a large impact on the technical decisions and development of large-scale machine learning initiatives that will shape the next-generation of commercial robotics.

              +

              +

              How you will make a difference:

                -
              • Professional designation in Accounting, Finance or Risk Management is preferred, but not required – e.g. CPA, CFA, or FRM etc.
              • -
              • Strong ability to communicate, verbally and in writing, complex concepts in non-technical terms to business segment Finance and senior business segment leaders.
              • -
              • Demonstrated self-starter and leader (versus solely a delegator) who can tailor analysis to required level of precision
              • -
              • A thorough understanding of relevant accounting and regulatory rules and requirements (IFRS 9, Basel) preferred.
              • +
              • Design, develop, and test data transformation pipelines operating on large amounts of structured and unstructured data.
              • +
              • Deploy and maintain scalable cloud infrastructure that support machine learning and data engineering workloads.
              • +
              • Collaborate with members of various functional teams to scope, explore, prototype, and implement solutions.

              -

              -

              What’s in it for you?

              -

              -

              We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

              +

              Required Skills & Experience:

                -
              • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
              • -
              • Leaders who support your development through coaching and managing opportunities
              • -
              • Ability to make a difference and lasting impact
              • -
              • Work in a dynamic, collaborative, progressive, and high-performing team
              • -
              • A world-class training program in financial services
              • -
              • Flexible work/life balance options
              • -
              -

              -

              -

              Job Summary

              Monitors market risk and implements risk management systems and processes to minimize any risk to the market. Applies extensive, in-depth knowledge, skills, and practices to perform complex assignments.

              Address:

              TORONTO, Ontario, Canada

              City:

              CAN-ON-TORONTO

              Country:

              Canada

              Work hours/week:

              37.5

              Employment Type:

              Full time

              Platform:

              Group Risk Management

              Job Type:

              Regular

              Pay Type:

              Salaried

              Posted Date:

              2023-05-19

              Application Deadline:

              2023-06-03
              -

              Inclusion and Equal Opportunity Employment

              -

              At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
              ​​​​​​​
              We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

              -
              -

              Join our Talent Community

              Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

              Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

              -
              ",,https://jobs.rbc.com/ca/en/job/R-0000059972/Manager-Stress-Testing-and-Impairment-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-06-05T15:52:03.314Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/228135961-manager-stress-testing-and-impairment-analytics-at-rbc,,expired,2023-05-22T15:47:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -e6115b13-3005-45e0-a351-20a9139af278,226183720,Scotiabank,Wealth Management - Data Analytics Internship/Co-Op - Fall 2023,on_site,Canada : Ontario : Toronto,2023-05-16T15:52:02.478Z,"

              -

              -

              -

              -

              Requisition ID: 177730

              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

              -

              -

              Term: September-December 2023

              -

              Application Deadline: June 2, 2023

              -

              -

              There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

              -

              -

              Is this role right for you? In this role, you will:

              -
              • Be involved in the definition of business requirements and processes, ensuring that progress can be measured against planned objectives by working with different teams, and internal partners; performing analysis and completing reports to measure project success and impact to business
              • Prepare reports and dashboards to inform strategic decision-making including trending analysis, projections and forecasts utilizing statistical modelling
              • Investigate and become an expert in available data sources of data, transform and determine how they can be interpreted for analysis
              • Flex your analytical skills by identifying and analyzing business and technical requirements to create diagrams, flow charts, and documentation
              • Make impact by constantly identifying and implementing process improvements
              • Experiment & learn!
              • -
              -

              -

              Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

              -
              • You are currently enrolled in post-secondary education.
              • You love to learn and envision yourself working for an international organization that heavily invests in your future.
              • You enjoy being involved in extracurricular activities such as conferences, clubs,
              • You have strong written/verbal communication and project management skills.
              • -You have knowledge/experience in:
                • Managing process and planning, facilitating teamwork, and coordinating the execution of multiple deliverables.
                • Interpreting and consolidating large amounts of information in actionable recommendations.
                • Using sound judgment in the creation of analysis, validation, interpretation, and presentation of findings.
                • Cleaning, transforming and visualizing large data sets working with various data formats (e.g., Enterprise Data Warehouse, Unstructured logs, XML, JSON, flat files, SAS, CSV)
                • Visualization tools like PowerBI, Tableau or Qlikview
                • Data Analysis/manipulation tools for working with data (e.g., SQL, DB2, MySQL, Python, R)
                • Making sense of data, creating reports, and communicating KPI’s
              • -
              -

              -

              What’s in it for you?

              -
              • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
              • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
              • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
              • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
              • +
              • BE / B.Tech or higher degree in Computer Science / Engineering or equivalent
              • +
              • 5+ years of professional software development experience (Python, C++ preferred)
              • +
              • Experience building large-scale data transformation pipelines with technologies such as Apache Spark, Amazon S3, Dagster, and Airflow
              • +
              • Hands-on experience designing scalable infrastructure for machine learning applications
              • +
              • Experience with cloud services such as Amazon Web Services, and familiarity with tools such as Docker, Kubernetes, and Terraform
              • +
              • Knowledge of best practices in modern software development, such as git
              • +
              • Proficiency with Linux-based operating systems
              -

              -

              How do I apply?

              -

              For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead,we ask that as part of your application you complete the below:

              -
              1. -Complete your PLUM Profile Here and save as a screenshot. -
              2. -Complete a short one-way video interview Here. -
              3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
              4. -
              -

              -

              *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all three steps above.

              -

              -

              Location(s): Canada : Ontario : Toronto

              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

              ",,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Data-Analytics-InternshipCo-Op-Fall-2023-ON/570128117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-05T15:57:03.955Z,False,0,7,40,https://talenthub.vectorinstitute.ai/jobs/226183720-wealth-management-data-analytics-internship-co-op-fall-2023-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Data-Analytics-InternshipCo-Op-Fall-2023-ON/570128117/,expired,2023-05-16T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -e9e61b61-3878-4df4-adce-00218c335df6,226982404,Scotiabank,Senior Data Engineer,on_site,Canada : Ontario : Toronto,2023-05-18T15:52:02.882Z,"

              -

              -

              -

              -

              Requisition ID: 172548

              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

              -

              -

              -

              Job Purpose

              -

              -

              As a Senior data engineer in Data Management, AML/ATF Models and Analytics team, you will contribute to build better way to approach all banking product/service systems data for AML/ATF purpose by using your advanced engineering , analytical and communication skills. This role will be responsible for leading project work in BI reporting, Data Quality and Data Management improvement for AML/ATF model building and performance enhancement. You will design and execute more efficient Data Engineering and Development Operation processes. Also you will lead a highly skilled team of Data Engineers to deliver value to financial crime risk management. This role will work close to Data Governance, technology department as well as AML compliance office to provide guidance and business requirement for ensuring success in the management of the critical data elements used by all AML/ATF models in order to comply with the corporate audit and regulatory standards.

              -

              -

              Accountabilities

              -

              -

              • Lead team to Deep Dive into banking product/service sources data , performing data profiling and analysis to determine better dimmensional/Hierarchical data for AML/ATF model and predict data analysis.
              • Lead team to use latest cloud and computing technology to deliver end to end infrastructure that raise the bar on AML analytic innovation and quality.
              • Hands-on ownership architecting and developing highly scalable and highly available applications in Hadoop or Cloud
              • Act as a subject matter expert for AML/ATF initiatives, working with project senior leadership providing an understanding of the increased risk of AML/ATF associated with implementation of the initiative and developing FIU business requirements to mitigate these risks.
              • Provide data expertise and identify data patterns within banking data to help identify different types of AML risks.
              • Leading data quality assessment for AML/ATF models and work with Technology partners to solve data quality issues and mitigate AML risks
              • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge
              • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct

              -

              Skills / Experience

              -

              -

              • Strong knowledge of Big Data framework and building scalable applications in Cloud, such as Microsoft Azure etc.
              • Strong knowledge of banking product/service and backend data lifecycle, international wire (SWIFT and NOT SWIFT) will be asset.
              • Strong effective communication skills and manage expectations with diverse groups or stakeholders
              • Experienced programming in such as Python, PySpark, Scala and building dataset and data flow in Power BI
              • Experienced with databases such as Oracle, SQL Server, PostgreSQL
              • AML/ATF experience or analytic knowledge
              • Oracle Mantas Application experience and knowledge

              -

              Education

              -

              -

              • Bachelor's degree in business, finance, or engineering
              • Strong experience with data modelling and data analysis
              • Minimum of 3 years of relevant experience in AML/ATF

              -

              -

              -

              Location(s): Canada : Ontario : Toronto

              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

              ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Engineer-ON-M5H1B6/567387617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-05T15:57:03.955Z,False,0,3,15,https://talenthub.vectorinstitute.ai/jobs/226982404-senior-data-engineer-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Engineer-ON-M5H1B6/567387617/,expired,2023-05-18T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -0f8988e8-adff-46a7-85b3-54792b3c5f30,230331897,Scotiabank,Senior Manager Fraud Analytics,on_site,Canada : Ontario : North York || Canada : Ontario : Toronto,2023-05-29T15:52:03.682Z,"

              -

              -

              -

              -

              Requisition ID: 178789

              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

              -

              -

              Purpose
              Leads and oversees Fraud Analytics team in Canada ensuring business strategies, plans and initiatives are executed / delivered in compliance with governing regulations, internal policies and procedures.

              -

              -

              Accountabilities
              • Leads and drives a customer focused culture throughout their team to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

              • Develop, execute and monitor fraud strategies for Canadian Banking, leveraging best in class analytics

              -

              • Leverage data mining tools (Python, R) to formulate fraud strategies that minimize fraud losses while maintaining a positive customer experience and controlling operating costs

              -

              • Report on performance of existing fraud strategies for Canadian Banking by Products and Channels

              -

              • Identify and leverage new data, adopt new techniques and technology to improve fraud strategy performance

              -

              • Identify opportunities for improvement with focus on risk/return while ensuring alignment with Fraud Operations teams

              -

              • Identify and escalate fraud risks that are or will become in excess of the Risk Appetite

              -

              • Lead / participate in the identification, development and implementation of new initiatives

              -

              • Work with fraud operations and other business partners to ensure new initiatives will be deliverable and executable

              -

              • Contribute to and support a variety of projects and initiatives across the Fraud Management Group

              -

              • Participate in discussions with IT partners and vendors on requirements and solution design

              -

              • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

              -

              • Creates an environment in which his/her team pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

              -

              • Builds a high performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team.

              -


              Education / Experience / Other Information
              • A University degree in statistics, mathematics or computer science
              • 5+ years analytical experience including statistical analysis, ideally related to Fraud Analytics or Risk Management
              • 2+ years team management experience
              • Experience with statistical software such as Python, R, etc
              • Experience with Proactive Risk Manager (PRM) or similar fraud platform strongly desired
              • Strong prioritizing, planning, analytical, presentation, project management, and relationship building skills
              • Strong communication skills essential with clients, vendors and management
              • Must be self-motivated, energetic and results-oriented and be committed to adding value to the organization

              -

              -

              Location(s): Canada : Ontario : North York || Canada : Ontario : Toronto

              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

              ",,https://jobs.scotiabank.com/job/North-York-Senior-Manager-Fraud-Analytics-ON-M3C0N5/570727917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-05T15:57:03.955Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/230331897-senior-manager-fraud-analytics-at-scotiabank,https://jobs.scotiabank.com/job/North-York-Senior-Manager-Fraud-Analytics-ON-M3C0N5/570727917/,expired,2023-05-29T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -b5e395f6-40bc-4c5a-97c3-4ead6a4dd6cb,229115595,Avidbots,Infrastructure Software Developer,on_site,"Ontario, Canada",2023-05-25T16:15:03.764Z,"
              -

              At Avidbots, we believe in solving real world problems with autonomous robotics solutions. Our current product, Neo, is a fully autonomous floor scrubbing robot deployed and trusted by the world’s leading facilities, building services, and retail companies and we aren’t stopping there! Headquartered in Kitchener, ON, Canada, Avidbots is a rapidly growing technology company, recognized as a Great Place to Work and one of Deloitte\'s Fast 500. Take a look at what Neo can do!

              -

              -

              This opportunity is a hybrid position

              -

              About the role:

              -

              As an Infrastructure Software Developer of the remote team, you will play a critical role in our organization\'s success by designing, implementing, and maintaining the infrastructure and systems that support our operations. This role requires a unique blend of skills in C++, Linux, and Python, along with knowledge of DevOps and cloud computing principles.

              -

              The successful candidate will be responsible for ensuring that our systems are optimized for performance, security, and reliability, and will work closely with cross-functional teams to support the organization\'s goals. The role offers professional growth and development opportunities in a fast-paced, dynamic environment. If you are a highly skilled engineer with a passion for infrastructure and system design, we encourage you to apply for this exciting opportunity.

              Key Responsibilities:

              -
                -
              • Design and implement infrastructure solutions that meet the needs of the organization, including server architecture, networking, storage, and security.
              • -
              • Develop, test, and maintain C++ applications and scripts for automation and monitoring of infrastructure and systems.
              • -
              • Develop, test, and maintain Python applications and scripts for automation and monitoring of infrastructure and systems.
              • -
              • Monitor and troubleshoot production systems to ensure uptime and performance, and implement solutions to address any issues.
              • -
              • Collaborate with cross-functional teams to ensure that infrastructure and systems are integrated and optimized to support the organization\'s goals.
              • -
              • Implement DevOps best practices, including continuous integration and delivery, configuration management, and automated testing.
              • -
              • Maintain AWS cloud infrastructure
              • -
              • Develop and maintain documentation for infrastructure and systems, including procedures, policies, and system configurations.
              • -
              • Stay up-to-date with industry trends and emerging technologies, and make recommendations for improvements to infrastructure and systems.
              • -
              -

              -

              Required Skills & Experience:

              -
                -
              • BE / B-Tech or higher degree in Computer Science / Engineering
              • -
              • 5+ years of overall infrastructure software development and support process experience
              • -
              • Demonstrated expertise in C++ programming (5 Years), with knowledge of data structures, algorithms, and object-oriented programming principles.
              • -
              • Extensive background in Linux system administration (5 Years), including command-line tools, shell scripting, and system configuration.
              • -
              • Solid proficiency in Python programming (5 Years), with knowledge of scripting, data analysis, and web development frameworks.
              • -
              • Working knowledge of Jenkins, Jira, confluence, bitbucket, Docker
              • -
              • Strong understanding of DevOps principles and best practices, including continuous integration and delivery, infrastructure as code, and automated testing.
              • -
              • Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
              • -
              -

              -

              Nice to have:

              -
                -
              • Experience with cloud computing platforms, such as AWS / Azure.
              • -
              • Knowledge of ROS to build and reuse code between robotics applications.
              • -
              • Familiarity with docker orchestration tools such as Kubernetes.
              • -
              • Experience with configuration management and infrastructure provisioning tools such as Ansible, Puppet, or Chef
              • -
              -

              -

              Avidbots is an equal opportunity employer committed to building a diverse workforce. As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. We offer a professional working environment and culture and believe that work/life balance is critical to ensure the happiness/well-being of our people.

              -

              Upon request, Avidbots will provide reasonable accommodation for applicants with disabilities throughout the recruitment and selection process

              -
              ",,https://avidbots.bamboohr.com/careers/650,feed-importer@jobboard.io,,,,2023-06-05T16:20:04.367Z,False,0,3,23,https://talenthub.vectorinstitute.ai/jobs/229115595-infrastructure-software-developer-at-avidbots,,expired,2023-05-25T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Mid-Senior Level,Bachelors Degree,New Posting, -05318020-f7b8-4a4f-b4ca-6f7713a7daab,230331855,Google,"Student Researcher, PhD, 2023",on_site,"Toronto, ON, Canada",2023-05-29T15:51:04.114Z,"
              -
              -2023-03-31T19:30:50.898Z
              -
                -
              • Share
              • -
                Save -
              • -

              Student Researcher, PhD, 2023

                -
              • Google
              • -
              • In-office:
                - Waterloo, ON, Canada -
              • -
              • + 2 more locations
              • -
              -
              -
              -

              -

              Participation in this program requires that you are located in Canada for the duration of the engagement.

              -

              This opportunity is intended for students who are pursuing a PhD degree with an anticipated graduation date after December 2024, depending on their program and unique circumstances. If you are graduating before December 2024, we encourage you to apply to the Research Internship opening.

              -

              To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English (PDFs preferred). Please ensure your anticipated graduation dates (in MM/YY) and any proficiency in coding languages are listed on resume.


              Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Montreal, QC, Canada; Toronto, ON, Canada.

              -
              -

              Qualifications

              -

              Minimum qualifications:

              -
                -
              • Currently enrolled in a PhD degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences.
                -
              • -
              • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, etc.).
                -
              • -
              -

              Preferred qualifications:

              +

              Nice to Have:

                -
              • Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
              • -
              • Currently attending a degree program in Canada.
              • -
              • Experience as a researcher, including internships, full-time, or at a lab.
              • -
              • Experience contributing to research communities or efforts, including publishing papers in conferences or journals.
                -
              • -
              • Experience with one or more general purpose programming languages (e.g., C/C++, Java, MATLAB, Go, Python, etc.).
                -
              • -
              • Ability to speak and write in English fluently.
              • +
              • Experience with Robot Operating System (ROS)
              • +
              • Experience working with a global team
              -
              -
              -
              -

              About the job

              -

              The Student Researcher Program’s primary objective is to foster academic collaborations with students through research at Google. Join us for a paid Student Researcher position that offers the opportunity to work directly with Google research scientists and engineers on cutting-edge research projects.

              The Student Researcher Program offers more opportunities for research students to work on critical research projects at Google in a less structured way. The program allows for opportunities beyond the limitations of our traditional internship program on aspects such as duration, time commitment, and working location (with options for on-site or remote). The topics student researchers work on tend to be open-ended and exploratory, and don\'t always have a clear deliverable like a traditional internship would.

              -

              Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world\'s fast-paced business needs.

              -
              -
              -
              -

              Responsibilities

              • Participate in research to develop solutions for real-world, large-scale problems.
              -
              -

              Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

              Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and Know your rights: workplace discrimination is illegal. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

              To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

              At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

              We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

              Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

              -
              -
              -
              ",,"https://careers.google.com/jobs/results/108473667903464134-student-researcher-phd-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-06-08T15:56:01.861Z,False,0,12,67,https://talenthub.vectorinstitute.ai/jobs/230331855-student-researcher-phd-2023-at-google,,expired,2023-05-29T15:51:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,PhD,New Posting, -86078b11-fd3b-4723-a62a-74bbb99ea5a5,231454910,Scotiabank,"Manager, Technical Business Analyst",on_site,Canada : Ontario : Toronto,2023-06-01T15:52:02.563Z,"

              -

              -

              -

              -

              Requisition ID: 178610

              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

              -

              -

              Purpose
              Contributes to the overall success of the Data Office in Canada ensuring specific individual goals, plans and initiatives are executed / delivered in support of the team’s business strategies and objectives. The main function of the Manager, Technical Business Analyst role is to support investigation, development, testing and operationalization of data solutions related to strategic goals of the Data Office. This role ensures all activities are conducted in compliance with enterprise data standards, policies and procedures.

              -

              -

              Accountabilities
              • Provides input to end-to-end data flows and lineage from capture at source, to storage, to delivery and its business intent at each stage (i.e. capture, transformation, fragmentation, editing)
              • Performs any necessary data mapping and data lineage activities and documents information flows to support specific business requirements
              • Performs data profiling, analyzes and communicates results in support of data quality processes
              • Builds the metadata model and business glossary by gathering information from multiple sources: business users, existing data sources, databases and other relevant documents and systems
              • Participates in knowledge transfer within the team and business units and identifies and recommend opportunities to enhance productivity, effectiveness and operational efficiency of the business unit and/or team
              • Monitors project progress by tracking activity; resolving problems; publishing progress reports; recommending actions.
              • Prepares technical reports by collecting, analyzing, and summarizing information and trends
              • Assesses, researches, analyzes, and documents project needs and outcomes by selecting the appropriate information gathering and/or modelling technique to elicit requirements

              -

              -

              Experience
              • Understanding of data components and can trace data elements at origination and as they move between systems including any transformations
              • Strong business acumen, data analysis, metadata documentation, and data quality controls skills specifically with respect to analyzing business process controls, sourcing and provisioning of lineage, and identifying data quality issues and proposing remediation steps
              • Very detail oriented and skilled in summarizing and gleaning insights from large amounts of information
              • Self-motivated to solve problems and able to work collaboratively with other team members
              • Strong oral and written communication skills and comfortable presenting to a variety of audiences

              -

              -

              Qualifications
              • Strong technical education background, majoring in fields that require a high degree of analytical skills, such as Engineering, Computer Science, Physics, Math, Statistics or related
              • Strong math, analytical, and business knowledge
              • Knowledge of some sort of programming language
              • Experience with relational database (SQL) or NoSQL storage systems
              • Good knowledge of business analysis processes and frameworks with experience documenting process and data flows using tools like Microsoft Visio and IBM Blueworks

              -

              -

              -

              Location(s): Canada : Ontario : Toronto

              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

              ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Technical-Business-Analyst-ON-M5H1H1/570818317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-08T15:57:03.242Z,False,0,2,16,https://talenthub.vectorinstitute.ai/jobs/231454910-manager-technical-business-analyst-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Technical-Business-Analyst-ON-M5H1H1/570818317/,expired,2023-06-01T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -84194242-0033-4320-a570-c0bccaf9f8b6,226183241,BMO Financial Group,"Audit Manager, Data Science",on_site,"Ontario, Canada",2023-05-16T15:39:05.761Z,"
              -

              Application Deadline:

              08/30/2023

              -

              -

              Address:

              55 Bloor Street West

              -

              -

              Job Family Group:

              Data Analytics & Reporting

              -

              -

              -

              -

              An effective audit function provides vital assurance to the Board of Directors and senior management as to the quality and effectiveness of the internal control system and in so doing helps reduce the risk of loss and reputational damage to the Enterprise. The function is instrumental in identifying high risk circumstances that could lead to material impact on profitability or reputation.

              -

              -

              In this role you will apply your knowledge of advanced analytics algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enable smarter business decisions, improved customer experience and drive productivity for our business. You will use your strong communication and story-telling skills to summarize statistical/algorithmic findings to draw business conclusions, and present actionable insight in a way that resonates with business/groups. You will drive innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

              +

              +

              Avidbots is an equal opportunity employer committed to building a diverse workforce. As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. We offer a professional working environment and culture and believe that work/life balance is critical to ensure the happiness/well-being of our people.

              +

              +

              Upon request, Avidbots will provide reasonable accommodation for applicants with disabilities throughout the recruitment and selection process

              +

              +

              #INDAV

              +
              ",,https://avidbots.bamboohr.com/careers/659,feed-importer@jobboard.io,,,,2023-07-11T02:23:03.163Z,False,0,3,38,https://talenthub.vectorinstitute.ai/jobs/243217461-software-developer-machine-learning-platform-mlops-at-avidbots,,expired,2023-07-05T02:18:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Senior Level,Bachelors Degree,New Posting, +b984157b-ba4a-42e5-9bcf-1d56c6ff5808,235603917,Roche,Senior Imaging Scientist - Digital Pathology,on_site,"Mississauga, ON, Canada",2023-06-12T20:19:16.104Z,"

              The Position

              +

              Works with a highly collaborative team of imaging scientists, software developers, and scientists in medicine and biology to solve image and data analysis problems in the field of Digital Pathology. Performs research and development activities for technology assessment, internal project collaborations, and commercial medical devices independently and as technical lead of project groups. Devises technology and advances the team’s method portfolio in the field of image processing, machine learning, pattern recognition, and data mining

              +

              ESSENTIAL FUNCTIONS:

              +

              - Designs and implements innovative algorithms to analyze histopathology images and data as individual contributor or technical lead of a project team.

              +

              - Designs and implements analysis algorithms and software platforms for prototyping and commercial product development.

              +

              - Optimizes algorithms and platforms for efficiency, accuracy, performance, and scalability.

              +

              - Collaborates with and leads other members of a project team to meet defined scientific and technical goals.

              +

              - Interacts in a multidisciplinary environment with internal and external stakeholders (e.g., pathologists, biochemists, instrumentation engineers, software engineers, and marketing representatives).

              +

              - Organizes and tracks requirements, deliveries, and project time lines. Keeps up-to-date with technology advances, the competitive landscape, and job training requirements in the medical device industry.

              +

              - Provides leadership in selecting new research directions and coordination in execution of the team’s technical goals.

              +

              - Generates Intellectual Property for technology and applications.

              +

              - Presents results and project proposals to project partners, collaboration partners within the Roche group, customers, and at scientific conferences.

              +

              - Provides technical direction, mentorship, guidance and feedback to others. Other duties as may be assigned by management in the pursuit of the operational goals of the group.

              +

              Who you are:

              +

              You’re someone who wants to influence your own development. You’re looking for a company where you have the opportunity to pursue your interests across functions and geographies. Where a job title is not considered the final definition of who you are, but the starting point.

              +

              MINIMUM QUALIFICATIONS:

              +

              Formal Training/Education:

              +

              - Ph.D. degree in Computer Science, Biomedical Engineering, Electrical Engineering, or a related field

              +

              Experience:

              +

              - At least two years of industry R&D experience with software development for image or data analysis algorithms.

              +

              - Proven track record of innovative analysis and software solutions.

              +

              - Proven track record of publications and intellectual property generation from own work.

              +

              - Experience in the design and development of medical devices in the field of biomedical image data analysis.

              +

              Knowledge, Skills, and Abilities:

              +

              - Excellent written and verbal communication skills; ability to review and evaluate writing of others.

              +

              - Ability to solve complex problems using creative ideas, state-of-the-art knowledge and best engineering practice.

              +

              - Sound application of scientific principles; expert analytical and mathematical skills.

              +

              - Expert knowledge and theoretical understanding of image analysis, pattern recognition, machine learning, computer vision, and data mining methods.

              +

              - Strong understanding of software design and development practices; proficiency in prototyping and commercial product development languages.

              +

              - Good understanding of biomedical image data including pathology images.

              +

              - Understanding of R&D work in a regulated industry

              +

              Who we are

              +

              At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

              +

              Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche's truly innovative culture.

              +

              As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

              +

              Roche is an Equal Opportunity Employer.

              ",,https://roche.wd3.myworkdayjobs.com/roche-ext/job/Mississauga/Senior-Imaging-Scientist---Digital-Pathology_202302-105081,aitalent@vectorinsitute.ai,https://www.roche.com/careers.htm,,,2023-07-12T20:19:39.519Z,False,0,6,34,https://talenthub.vectorinstitute.ai/jobs/235603917-senior-imaging-scientist-digital-pathology-at-roche,,expired,2023-06-12T20:19:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,PhD,New Posting, +0d28faf4-850f-43d3-ac61-5bce6034edef,235603309,Roche,"Data Engineer Lead, Digital Pathology",on_site,"Mississauga, ON, Canada",2023-06-12T20:16:09.222Z,"

              The Position

              +

              The Digital Pathology (DP) Data Services Team within Roche provides data management, generation, and validation services to support DP science, discovery & commercial product teams in their algorithm research and development. We are an incredibly motivated, smart and diverse group of unique individuals united in our mission to improve the lives of every patient afflicted with cancer.

              +


              We are seeking an excellent, experienced and highly skilled Data Engineer lead for DP Data Management with a strong technical background rooted in fundamental computer science and database management.

              +


              Given the collaborative nature of our team we are looking for someone with a flexible and learning mindset, the ability to work in a fluid and dynamic environment, and a strong desire to pursue creative solutions to challenging problems following the highest standards in the industry.

              -

              Reporting to Senior Audit Manager, Data Science, the Audit Manager, Data Science is responsible for

              +


              Key Responsibilities

                -
              • Build rule-based, statistical and machine learning models and pipelines via SQL and Python based framework
              • -
              • Automate analytics and author data pipelines via SQL and Python based ETL framework
              • -
              • Develop user interface for self-served analytics via Python and JavaScript based framework
              • -
              • Create and maintain internal documentation on projects, pipelines, tools, datasets, know-how and best practices
              • -
              • Contribute to design of roadmap for analytics and data science, e.g. discussions relating to project timelines, analytics adaptation, and training curriculum about AI / ML within audit
              • -
              • Share and promote success stories relating to completed projects within audit
              • -
              • Stay up to date on data, technologies, AI trends and workflows within BMO as they are developed, and help audit partners understand and prepared for relevant communications
              • -
              • Partner with various audit teams to identify opportunities to improve audit process via AI / ML, automation pipelines and analytics, and to define good metrics to measure and monitor such improvements
              • -
              • Partner with IT specialists across Technology and Operations to implement and productionize analytical and self-served solutions
              • -
              • Partner with IT specialists across Cloud Engineering and similar functions for experimentations relating to cloud-based analytical tools and services, should the need arise
              • +
              • Champion, design, build and support of a data management system or database, cloud and/or open source, to process and manage histopathological meta data to support product development, exploratory research, or on-market applications.
              • +
              • Building highly scalable data management systems and associative architecture to support millions of highly heterogeneous histopathology data sets
              • +
              • Being able to work across multiple, multi-disciplinary teams internal/external to gather requirements and ensure project development is aligned to those requirements.
              • +
              • Being able to work with parsing, managing, analyzing and making available large sets of (histopathological) data to turn information into insights using multiple platforms.
              • +
              • Working at all stages of the software life cycle: Proof of Concept, MVP, Production, and Deprecation
              • +
              • Build peer relationships with Roche IT and build a in-depth knowledge of Roche data systems and information strategies to inform DP Data Services Strategies
              • +
              • Lead internal projects for new or upgraded systems, applications, data manipulation or reporting solutions and acting as the connection between the DP Data Services team and other Roche groups (e.g. Roche IT, Pharma, etc.)
              • +
              • Proactively identify automation opportunities where the use of systems or the collation of data or information for reporting are highly manual or fragmented
              • +
              • Develop and maintain tools for monitoring and/or improving compliance and ensuring data integrity

              -

              Qualifications:

              +


              Qualifications

              +

                -
              • Master’s degree or higher in a Quantitative or Technical field
              • -
              • Typically 5 - 7 years of experience
              • -
              • Solid understanding of statistical modeling and data science methods
              • -
              • Proficiency in SQL and Python
              • -
              • Experience with Unix/Linux shell
              • -
              • Experience working cross-functionally and communicating technical content to general audiences
              • +
              • A BS in a computer science/computational science discipline with 12 years of work experience or a Masters with 7 years of experience (preferred)
              • +
              • 5+ years experience architecting and developing scalable data pipelines, frameworks and platforms to power data science efforts in distributed cloud environments; solid knowledge of HPC and AWS based data engineering and analytics solutions
              • +
              • Significant experience with storage technologies and their advantages and disadvantages (e.g. Relational Database, No-SQL Database, Object Storage); experience with one specific NoSQL solution, like DynamoDB, MongoDB, or Cassandra and understanding the different use cases for a NoSQL solution vs a SQL solution.
              • +
              • Extensive experience in designing, developing and maintaining databases. Proficiency in data processing and management including the ability to query large data sets, including image sets.
              • +
              • Experience with various data integration/ETL tools, application integration, business process and data science tools (e.g. Talend, Kubeflow, Spark, Tableau, Flume, Kafka or Databricks)
              • +
              • Fluency in programming languages (Python, Go, Java) for data analysis
              • +
              • Professional experience in software engineering with Python including: Very good understanding of the Python Ecosystem (e.g. NumPy, Pandas, Scikit-learn), Coding best practices (e.g. TDD, ATDD), Application Architecture and Design Patterns, Testing strategies, Versioning
              • +
              • Experience with Structured Query Language SQL and different database engines (Microsoft SQL Server, PostgreSQL, MySQL, and others)
              • +
              • Experience with SQL database optimization, can distinguish between optimization for reading heavy DBs, or writing heavy DBs, and understanding about sharding and stored procedures, table-valued functions, scalar-valued functions, triggers, and more.
              • +
              • A strong willingness to learn, comfortness with ambiguity and being able to work without lots of supervision
              • +
              • Stays up-to-date with technology trends and understands its impact on the current technology portfolio
              • +
              • Excellent organizational and documentation skills and able to multitask
              • +
              • Demonstrated communication skills

              -

              Preferred Qualifications:

              +

              +

              Preferred Skills (but not required):

                -
              • Experience initiating and driving projects to completion with minimal guidance
              • -
              • Experience with web development
              • -
              • Experience with distributed computing and cloud services
              • -
              • Knowledge of SAS and R
              • -
              • Knowledge of agile methodology
              • +
              • Knowledge on image processing and computer vision
              • +
              • Strong background in statistics and hands-on experience with deep learning
              • +
              • Prior experience in digital pathology, medical imaging
              • +
              • Experience with terraform; understand how to deploy databases to the cloud in an automated way
              -

              -

              -

              We’re here to help

              -

              -

              At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

              -

              -

              As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

              -

              -

              To find out more visit us at https://jobs.bmo.com/ca/en.

              -

              -

              BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

              -

              -

              Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

              -
              ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Audit-Manager--Data-Science_R230008374?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-06-08T20:54:00.000Z,False,0,2,17,https://talenthub.vectorinstitute.ai/jobs/226183241-audit-manager-data-science-at-bmo-financial-group,,expired,2023-05-16T15:39:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -a3c9ee99-ed43-49cd-9063-3e92a0ff49e6,235578686,Scotiabank,"Manager, Technical Business Analyst",on_site,Canada : Ontario : Toronto,2023-06-12T15:52:02.259Z,"

              -

              -

              -

              -

              Requisition ID: 178610

              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

              -

              -

              Purpose
              Contributes to the overall success of the Data Office in Canada ensuring specific individual goals, plans and initiatives are executed / delivered in support of the team’s business strategies and objectives. The main function of the Manager, Technical Business Analyst role is to support investigation, development, testing and operationalization of data solutions related to strategic goals of the Data Office. This role ensures all activities are conducted in compliance with enterprise data standards, policies and procedures.

              -

              -

              Accountabilities
              • Provides input to end-to-end data flows and lineage from capture at source, to storage, to delivery and its business intent at each stage (i.e. capture, transformation, fragmentation, editing)
              • Performs any necessary data mapping and data lineage activities and documents information flows to support specific business requirements
              • Performs data profiling, analyzes and communicates results in support of data quality processes
              • Builds the metadata model and business glossary by gathering information from multiple sources: business users, existing data sources, databases and other relevant documents and systems
              • Participates in knowledge transfer within the team and business units and identifies and recommend opportunities to enhance productivity, effectiveness and operational efficiency of the business unit and/or team
              • Monitors project progress by tracking activity; resolving problems; publishing progress reports; recommending actions.
              • Prepares technical reports by collecting, analyzing, and summarizing information and trends
              • Assesses, researches, analyzes, and documents project needs and outcomes by selecting the appropriate information gathering and/or modelling technique to elicit requirements

              -

              -

              Experience
              • Understanding of data components and can trace data elements at origination and as they move between systems including any transformations
              • Strong business acumen, data analysis, metadata documentation, and data quality controls skills specifically with respect to analyzing business process controls, sourcing and provisioning of lineage, and identifying data quality issues and proposing remediation steps
              • Very detail oriented and skilled in summarizing and gleaning insights from large amounts of information
              • Self-motivated to solve problems and able to work collaboratively with other team members
              • Strong oral and written communication skills and comfortable presenting to a variety of audiences

              -

              -

              Qualifications
              • Strong technical education background, majoring in fields that require a high degree of analytical skills, such as Engineering, Computer Science, Physics, Math, Statistics or related
              • Strong math, analytical, and business knowledge
              • Knowledge of some sort of programming language
              • Experience with relational database (SQL) or NoSQL storage systems
              • Good knowledge of business analysis processes and frameworks with experience documenting process and data flows using tools like Microsoft Visio and IBM Blueworks

              -

              -

              -

              Location(s): Canada : Ontario : Toronto

              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

              ",,https://jobs.scotiabank.com/job/Manager%2C-Technical-Business-Analyst/570818317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-15T15:57:04.299Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/235578686-manager-technical-business-analyst-at-scotiabank,https://jobs.scotiabank.com/job/Manager%2C-Technical-Business-Analyst/570818317/,expired,2023-06-12T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -6301cbae-26a6-4e12-b4f1-d84fcbde3d76,232858629,CN,"Expert, Data Developer",on_site,"Ontario, Canada",2023-06-05T16:15:04.314Z,"

              -

              At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

              Role description:

              The Data Movement Service Expert is responsible for designing, building, managing, and optimizing domain-agnostic batch and stream data pipelines, moving them effectively from the source/system of record, shaping the enterprise Source Data Product, and delivering it for consumption. This includes defining solution score and plan architecture, collaborating with Enterprise Architecture and other solution architects, and providing the direction in the delivery of the solution to designers & integrators. More precisely, the Expert builds the solution, drives alignment of the proposed solution with the Enterprise & Domain strategies, master plans & roadmaps, and manages risk mitigation, and as required drives issue escalation & resolution related to the architecture. The experts sign off on architecture where he/she does have the delegation authority and governs the implementation of the architecture during the design phase.

              Main Responsibilities:

              Data Engineering

              · Ensure optimal data delivery architecture and processes are consistent throughout ongoing projects.

              · Optimize CN’s data architecture to support the next generation of products and data initiatives.

              · Build, manage, and optimize data pipelines, moving them effectively into production for key data and analytics consumers such as business or data analysts and data scientists.

              · Build data and domain event models, implement business rules, and engineer scalable data pipelines.

              · Ensure compliance with data governance and security requirements while creating, improving, and operationalizing integrated and reusable data pipelines.

              · Enable faster data access, integrate data reuse, and improve time-to-solution for data and analytics initiatives.

              · Integrate analytics and data science results with business processes.

              · Promote effective data management practices.

              Modernization

              · Work with peers to improve architecture processes and deliverables with the trending technology.

              · Participate in yearly product health assessment.

              · Maintain solution architecture roadmap based on Enterprise Architecture & Business strategic direction.

              Technical Leadership and Governance oversight

              · Accountable to lead communication and to drive escalation & resolution with Stakeholders.

              · Ensuring Standards are being published and evangelized.

              · Ensuring the Enterprise Governance principles are being applied.

              Requirements

              Education & Experience

              · Minimum 10 years of overall work experience (including in OT, IT, Development engagements, and Data Integration).

              · Minimum 2 years demonstrating technical leadership qualities and/or overseeing deliverables

              · Minimum 2 years in a similar role.

              · Bachelor\'s degree in Computer science, Information Systems, Engineering or equivalent degree or relevant work experience.

              Skills/Knowledge

              · Strong architecture knowledge within numerous fields: business, application, information, and technology architecture facets.

              · Hands-on experience in at least one of the Data Integration development technologies (Mulesoft, Kafka, Qlik Replicate, Azure Data Factory).

              · Strong Informatica Intelligent Cloud Services (IICS) or IBM DataStage experience will also be considered.

              · Good understanding of application design patterns (Dependency Injection, Microservices, and others) and modern platforms (API/Microservices, Mobile, MBaaS, Mulesoft, Container).

              · Knowledge and working experience in Google Cloud Platform – Big Query, Cloud SQL, Dataproc, Cloud Storage.

              · Comparable working experience in Azure Ecosystem will also be considered.

              · Strong experience with Agile/Scrum/Safe delivery methodology.

              · Strong ability to bring a complex concept to actionable architecture deliverables.

              · Strong capacity to learn new concepts and technology quickly with the capacity to coach, mentor, and develop others by teaching them.

              · Strong ability to taking hard decisions by understanding and explaining trade-offs between business enablement and economic impacts.

              · The role requires people skills to influence and orient business and technical audiences toward a common goal that is satisfying all stakeholders.

              · Very good ability to build collaborative cross-functional relationships, pulling together and maintaining a cohesive and high-functioning team.

              · Strong ability to lead the team on a mandate and to lead decisions.

              · Ability to deliver mandate with great autonomy – self-driven.

              · Excellent written and oral communication skills.

              About CN

              CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

              +


              Note: Travel to US required.

              +

              Who we are

              +

              At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

              -

              -

              CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

              -
              ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/11006?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-06-16T02:23:02.313Z,False,0,1,35,https://talenthub.vectorinstitute.ai/jobs/232858629-expert-data-developer-at-cn,,expired,2023-06-05T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, -be12ff92-4046-44c5-956d-68f8d70172da,232858627,TELUS,Senior Technical Product Manager - SmartHome Data and AI Solutions,on_site,"Ontario, Canada",2023-06-05T16:15:04.145Z,"
              -
              -

              -
              -

              -

              Our team and what we’ll accomplish together:

              -

              -

              We’re a Platform Product Management team on a mission to build an innovative platform that empowers companies globally to simplify, unify, and transform the smart living experience for their customers. We focus on enabling our Platform as a Service (PaaS) customers to offer differentiated SmartHome products and rapidly scale in their market. Your expertise in platform product management and deep understanding of the smart home market will play a critical role in shaping the future of smart living globally.

              -

              -

              Press Release: Redefining the connected home

              -

              -

              What you’ll do:

              -

              -

              You will be at the forefront, enabling contextual & personalized product experiences through the power of Artificial Intelligence (AI), Machine Learning (ML). You will product manage our platform’s data offerings including our AI/ML pipeline, data insights and reporting capabilities for our PaaS clients and core data infrastructure. You will collaborate closely with cross-functional teams, including engineering, privacy, regulatory, mobile app design, marketing, and operations, to create and manage the AI/ML and Data Lake roadmap. As part of an agile development program you will bring new features and capabilities to market by developing internal and external relationships that help drive detailed requirements and prioritizing the backlog for your development squad.

              -

              -

              Here’s how:

              -

              -
                -
              • Develop our approach to data and AI/ML capabilities in alignment with the overall vision, goals, and opportunities
              • -
              • Collaborate with stakeholders to define data lake & AI/ML requirements, roadmap, and priorities
              • -
              • Partner closely with your squads from ideation and conceptualization to launch and post-launch optimization, ensuring timely delivery of high-quality platform services
              • -
              • Collaborate with engineering teams to translate platform requirements into technical specifications, ensuring the delivery of scalable, secure, and reliable PaaS solutions
              • -
              • Drive innovation and differentiation by identifying emerging trends, technologies, and market opportunities in the AI/ML, SmartHome and PaaS space
              • -
              • Define and monitor key performance indicators (KPIs) to evaluate the success and impact of your portfolio, making data-driven recommendations for continuous improvement
              • -
              • Collaborate with operations teams to ensure seamless integration, deployment, and ongoing maintenance of the PaaS platform across global markets
              • -
              -

              -

              +

              Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche's truly innovative culture.

              +

              +

              As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

              +

              +

              Roche is an Equal Opportunity Employer.

              ",,https://roche.wd3.myworkdayjobs.com/roche-ext/job/Mississauga/Data-Engineer-Lead---Digital-Pathology_202304-110248,aitalent@vectorinsitute.ai,https://www.roche.com/careers.htm,,,2023-07-12T20:16:14.907Z,False,0,4,45,https://talenthub.vectorinstitute.ai/jobs/235603309-data-engineer-lead-digital-pathology-at-roche,,expired,2023-06-12T20:16:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Team Lead,Bachelors Degree,New Posting, +d673e5e2-ca46-49b5-a9a2-356075a87a2a,231456693,TD Bank Group,Senior Business Insights Analyst,on_site,"Markham, ON",2023-06-01T15:53:01.962Z,"
              +

              Company Overview

              +
              +

              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

              +

              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

              +

              +

              Department Overview

              +
              +

              We can’t afford to be boring. Neither can you. The scale and scope of what TD does may surprise you. The rapid pace of change makes it a business imperative for us to be smart and open-minded in the way we think about strategy. TD’s strategy and business teams become more intertwined as new opportunities present themselves. This new era in banking does not equal boring. Not at TD, Not at Risk, Not at Fraud strategy, anyway.

              +

              The Enterprise Protect is an enterprise-level body that strives to protect TD Bank Group customers, shareholders and employees from financial crimes and fraud. Aligned with TD strategy and risk appetite, Enterprise Protect develops and evolves enterprise policies, advanced analytics capabilities and operational processes to improve governance, oversight, and collaboration between fraud management and other control functions within the Bank.

              +

              The Canadian Performance Management (CPM) team operates within Enterprise Protect in a fast-paced environment requiring both strategic and tactical responses to changing fraud patterns and provides a unique opportunity to apply critical thinking and leadership skills in an innovation centric environment.

              -
              -

              -
              -

              -

              What you bring:

              -

              +

              +

              Job Description

              +
              +

              This role will be responsible for developing, implementing and monitoring strategies to manage evolving fraud trends, taking into consideration TD’s risk appetite and customer and operational experience. The Strategist should display a deep fraud and process expertise, and to leverage that knowledge to:

                -
              • Significant Product Management experience, ideally with SmartHome, IoT and/or Platform as a Service
              • -
              • Experienced working with agile teams as a SCRUM Product Owner and using Jira, Confluence or equivalents
              • -
              • Technology background with understanding of: IoT, Artificial Intelligence, Machine Learning, API and others
              • -
              • Understanding of data governance, regulatory & privacy best practices
              • -
              • Recognized for your thought leadership, problem-solving skills and willingness to take on new initiatives
              • -
              • An expert storyteller who can craft messages that land with any audience including presentations to senior leadership
              • -
              • Known for your excellent communication, and ability to foster an environment of collaboration, and idea sharing
              • +
              • anticipate and explain potential fraud risks associated with strategic initiatives across TD
              • +
              • help design policy, process or strategic changes to enable the bank to safely deliver its strategic roadmap
              • +
              • provide deep fraud and process expertise into solving larger, Fraud-driven strategic initiatives
              • +
              • identify emerging fraud trends and develop defenses against emerging and in-market fraud trends
              • +
              • understand and actively managing the operational impacts of our fraud defense strategies
              -

              -

              Great to have:

              -

              +

              The successful candidate will work collaboratively with a diverse team of operational agents, Fraud solution developers, data scientists, business insights analysts and subject matter experts and applies fraud business expertise leveraging advanced tools and detection systems to manage risk appropriately. The incumbent will be accountable for loss and customer experience targets.

              +

              Accountabilities:

              +

              Fraud Management

                -
              • Bachelor\'s degree in Business, Data Science or AI/ML, Computer Science, Engineering, or a related field, advanced degree preferred
              • -
              • AWS certifications
              • +
              • Accountable for fraud loss targets and the customer experience
              • +
              • Reviews daily fraud attacks to create segmentation and develop/implement fraud strategies while balancing the impact to the operational teams and customer experience
              • +
              • Strategizes on adjustments to shifting network rules, liability requirements or other exogenous factors
              • +
              • Owns the strategy design and configuration in all fraud prevention platforms (e.g. Falcon, TSYS, FIS, SQN, PRM, Citadel, DPS, VCas, Avant, Experian, Transunion), in alignment with the Change Management protocols
              • +
              • Supports case valuation and prioritization to optimize fraud management
              • +
              • Are a subject matter expert on the end-to-end operational process, transaction liability and regulatory requirements
              • +
              • Provide ad-hoc analysis to support decision-making at the executive level
              • +
              • Design champion / challenger strategies that lead to ongoing learning and improvement
              • +
              • Expected to leverage that subject matter expertise to independently investigate new, high-risk exposures under very tight timelines
              • +
              • Produce timely diagnostics to identify system, strategy and operational issues
              • +
              • Participates in defect analysis to identify and remediate coverage gaps
              • +
              • Provides end to end fraud cycle support to all strategy teams for advanced technical builds and consultation for continuous improvement
              • +
              • Identify, track, and provide solutions to ongoing fraud vectors and cross-portfolio threats
              • +
              • Think forward and provide early gap mitigation to emerging threat vectors globally
              -

              -

              If you are passionate about creating innovative products that help to solve real-world problems, and have a track record of delivering successful technical products and services, then we encourage you to apply for this exciting opportunity!

              -

              -

              -
              -
              -
              ",,https://careers.telus.com/job/Toronto-Senior-Technical-Product-Manager-SmartHome-Data-and-AI-Solutions-ON/570913517/,feed-importer@jobboard.io,,,,2023-06-16T02:23:02.313Z,False,0,2,33,https://talenthub.vectorinstitute.ai/jobs/232858627-senior-technical-product-manager-smarthome-data-and-ai-solutions-at-telus,,expired,2023-06-05T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, -a68a0fd4-23cb-4a93-99f5-9756d406d8ae,231466649,TELUS,Senior API & Data Management Developer,on_site,"Ontario, Canada",2023-06-01T16:15:03.263Z,"
              -
              -

              Description

              -
              -

              -

              Join our team

              -

              -

              The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions. We are doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI tooling and high quality data. We have a data-product and data platform oriented culture and we are always keeping an eye on the horizon, preparing for the next big thing.

              -

              -

              We are entrepreneurial and passionate, believers that so much more is possible and can be achieved by creating value and great outcomes for our customers, team members, communities, and environment and that through meaningful transformation we can integrate dynamic change in our professional lives.

              -

              -

              Our team members appreciate diversity of thinking, ideas and experiences, and are always learning, experimenting and applying tuition value into everything we do.

              -

              -

              The impact you’ll make and what we’ll accomplish together

              -

              -

              As an API & Data Management Developer in the Metadata Management Program, you’ll contribute to the design, development and support of a variety of integration and process automation techniques to ensure accurate ingestion of technical metadata from many source systems. You will design and develop APIs to enable programmatic consumption of metadata by consumers external to the metadata management platform. In addition you will ensure reliable and consistent processing to our Collibra cloud platform and automate information lifecycle management processes using web enabled workflows.

              -

              -

              As a trusted technical expert, you will collaborate with various business units and demonstrate thought leadership when sitting at the intersection between privacy, ethics, technology, data and consumers to ensure it is leveraged in a respectful manner while continuing to advance our reputation of being trustworthy through transparent communication.

              -
              -
              -
              -

              Here’s How

              -
              -

              +

              Partner Support

                -
              • Work with business stakeholders on the adoption and onboarding of the TELUS Metadata Management Tool powered by Collibra (training and technical support)
              • -
              • Collaborate with business stakeholders to define integration approaches, identify the best techniques, ensure capture and storage of all available metadata, ensure durable API processing is available to subscription customers
              • -
              • Support and maintain the API enablement of the TELUS Metadata Management Tool powered by Collibra through the entire lifecycle from design to deployment within the TELUS cloud environment
              • -
              • Work with the supporting teams, organizations and vendors to provide updates to existing deployed technologies and collect information from production systems for analysis
              • -
              • Define, enable, test and automate scripts for integration and process automation activities including documentation, work products and team presentations as well
              • -
              • Develop test strategies and site reliability engineering measures for data products and solutions
              • -
              • Participate in agile development scrums and solutions reviews
              • -
              • Lead resolution of critical operations issues including post-implementation reviews
              • -
              • Contribute to the strategic direction and evolution of TELUS Enterprise Metadata & Data Quality Management application
              • +
              • Works with business partners to understand new intent, and to identify the incremental fraud risks associated with that intent
              • +
              • Collaborates with business partners to develop solutions that minimize fraud risk while enabling business partners to achieve bank strategic priorities
              • +
              • Occasionally provides IT release support to ensure projects reliably deliver on fraud requirements
              • +
              • Support the continuous improvement agenda for our operational partners
              • +
              • Maintain strong relationships with internal stakeholders such as Fraud Operations, Internal Business Partners, Vendor Managers etc.
              • +
              • Act as a subject matter expert and represents the team or bank at project meetings or industry forums
              -

              -

              -
              -
              -

              Qualifications

              -
              -

              -

              You are the missing piece of the puzzle

              -

              +

              +

              Requirements

              +
              +
                -
              • You are sought out for your strong understanding of Metadata Management, Data Quality, Data Lineage and Data Management
              • -
              • You are respected for your knowledge of Solution Development and Data Management Lifecycles
              • -
              • You are recognized for your understanding of integration patterns including RESTful architecture and patterns, APIs and event based processing
              • -
              • You are hands on in Windows Operating Systems, Unix, Linux, JSOn, Yaml, Swagger and with GCP Kubernetes (GKE), GCP Development and deployment using a CI/CD pipeline including Git, terraform, cloud build and deploy
              • -
              • You are commended for your expertise with Collibra - including managing system activities, tenant administration, user groups creation etc
              • -
              • You are recognized for your understanding of and experience with programming in JAVA especially Springboot or equivalent, with Collibra and Collibra APIs or GCP SDK experience
              • -
              • You are recognized for your understanding of and experience with Oracle, SQL server, GCP BigQuery,PostgreSQL,and NoSQL
              • -
              • You are an expert communicator and strategic thinker, able to provide a consultative approach in alignment with the Telco Management Industry Framework
              • -
              • You are an excellent and effective presenter able to communicate ideas in a clear and concise manner
              • -
              • You are an effective influencer and negotiator, able to be persuasive while upholding commitments to our customers, stakeholders and TELUS’ commitment to integrity
              • -
              • Fluency in speaking, reading and writing in English
              • -
              • 4+ years Data Engineering experience / 2 year data solution architecture and design
              • +
              • Undergraduate degree from a technical domain (e.g. finance, engineering, mathematics/statistics computer science), preferably from a STEM program
              • +
              • 2+ years’ experience in an analytical capacity
              • +
              • Experience using analytical software tools such as Python, R, SQL, Tableau and Excel for data analysis, automation, and reporting
              • +
              • In-depth knowledge of data science tools such as NumPy, pandas, matplotlib, scikit-learn/TensorFlow/Keras or equivalent
              • +
              • Understanding of machine learning methods with experience in deployment and implementation
              • +
              • Experience with automation tools and proven implementation record
              • +
              • Ability to quickly and independently structure and deliver on new problems not previous tackled by the bank
              • +
              • Demonstrated analytical, modeling and problem solving skills
              • +
              • Creative, Critical, Conceptual thinker, ability to wade through data and arrive at conclusions
              • +
              • Ability to communicate strategy analysis to both technical and non-technical team members, either verbally or via documentation
              • +
              • Ability to take initiative and work independently under tight timelines
              -

              -

              Great-to-Haves

              -

                -
              • University degree in computer science and/or 5 years of working experience in Information Management
              • -
              • Demonstrable DAMA international BOK Framework knowledge and/or application
              • -
              • Demonstrated TM Forum Frameworxs knowledge
              • -
              • Fluency in speaking, reading and writing in French
              • +
              • Ability to work collaboratively and build relationships
              • +
              • Ability to effectively manage multiple projects and priorities simultaneously
              -

              -

              #LI-REMOTE

              -
              -
              -
              ",,https://careers.telus.com/job/Toronto-Senior-API-&-Data-Management-Developer-ON/568225417/,feed-importer@jobboard.io,,,,2023-06-16T02:23:02.313Z,False,0,2,18,https://talenthub.vectorinstitute.ai/jobs/231466649-senior-api-data-management-developer-at-telus,,expired,2023-06-01T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, -f2e153de-f85a-4ea0-b61f-c5e3abf01ed9,229115593,OMERS,BI Specialist (6-Month Contract),on_site,"Ontario, Canada",2023-05-25T16:15:03.420Z,"
              We are looking for a BI Specialist with Azure Data Engineering experience to join our team. As a key member of the Enterprise Data and Advanced Analytics team, this role is instrumental in enhancing data & analytics capabilities by championing industry best practices and delivering high quality reports and training to enhance business decision making. They help translate complex solutions to digestible business-centric outcomes and will do so by building interactive data visualizations using Power BI and sophisticated data models.

              They will work with business-unit leaders to identify and prioritize problems that analytics is suited to solve and help identify the data (internal or external) needed to produce the most useful insights. In addition to being responsible for end-to-end solutions that business users can execute on, they also work towards driving adoption among business users. The individual will support and collaborate with data engineers, data scientists and business users and engage in technical support, research and knowledge sharing through the implementation lifecycle of projects and solutions. The ideal candidate is one that strives to evolve through their career and transition into a data scientist role in the near future by taking advantage of the tremendous learning and collaboration opportunity this role provides.

              -

              -

              Key Responsibilities:

              +
              • Motivated to constantly strive to find innovative ways to enhance capabilities
              +

              Preferable

                -
              • Designing and building interactive insightful data products using Power BI, ML and Azure
              • -
              • Developing and monitoring Azure data pipelines, Power BI Premium Dataflows to gather, transform and democratize structured and unstructured data assets
              • -
              • Deploying ETL pipelines to achieve a high level of reliability, scalability, and security.
              • -
              • Designing and developing ETL pipelines to achieve a high level of reliability, scalability, and security. Sourcing, transforming, and delivering structured and unstructured assets for use in Azure Synapse Analytics, Azure Data Factory, SQL Server, Azure Data Lake
              • -
              • The candidate should have a strong command of Pyspark, a Python library for distributed data processing and analysis
              • -
              • Knowledge of Postman, the candidate should be able to effectively design, test, and debug APIs, ensuring their functionality and reliability within our software ecosystem
              • -
              • The candidate should have experience in creating dataflows using Azure Data Factory and familiarity with the Medallion Architecture is highly desirable
              • -
              • The candidate should be well-versed in the concepts and techniques of the Kimball Methodology, which emphasizes building data warehouses that are optimized for business intelligence and reporting. Proficiency in dimensional modeling, including the creation of star schemas and snowflake schemas, is essential
              • -
              • The ideal candidate will have the ability to document technical specifications, workflows, and guidelines, ensuring clear and concise communication across the team and stakeholders
              • -
              • The ideal candidate will possess strong communication and leadership skills to guide and support the team in adopting and implementing industry-leading data engineering practices
              • -
              • Identifying, defining, and implementing opportunities for enhancing existing processes
              • -
              • Defining and implementing technical test plans and perform unit and integration testing
              • -
              • Operating in an Agile development environment
              • -
              • Managing change and communicating impacts to stakeholders and fellow team members
              • -
              • Leading multiple projects simultaneously and ensuring on-time delivery
              • +
              • Experience in fraud management is an asset
              • +
              • Knowledge of machine learning is an asset
              • +
              • Automation experience is an asset
              • +
              • Knowledge of fraud detection platforms is an asset
              • +
              • Agile experience is an asset
              +

              -

              Qualifications:

              -
                -
              • -Experience. 5+ years solving sophisticated technical data projects using the Microsoft Azure data stack is required
              • -
              • -Industry Knowledge. The ability to quickly propose Azure Data Platform solutions by recalling the latest standard processes learned from MVP & Product Team articles, MSFT documentation, whitepapers, and community publications is required
              • -
              • -Relationship Building. A proven track record of building deep technical relationships. Experience in setting expectations across various partners.
              • -
              • -Problem-Solving. Must be able to trace data lineage / workflows and resolve technical issues with minimal supervision. Demonstrated proficiency in understanding and implementing business workflows is a plus.
              • -
              • -Teamwork. Motivated and keen to work in a collaborative environment with a focus on team success over and above individual success.
              • -
              • Breadth of technical experience and knowledge across the Azure Data Platform, with depth Domain Expertise in two or more of the following Data Platform resources is required:
                  -
                • Azure Databricks using PySpark
                • -
                • Azure Synapse & Azure Data Factory
                • -
                • SQL Server Data Tools
                • -
                • Azure Machine Learning
                • -
                -
              • -
              • Excellent written, verbal, and presentation skills targeted at all levels of the organization
              • -
              -

              -

              -

              -

              -

              Our story:

              -

              Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

              +

              Additional Information

              +
              #tdcybersecurity #LI-Post

              -

              OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

              -
              ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/BI-Specialist--6-Month-Contract-_JR-4967?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-06-16T02:23:02.313Z,False,0,4,39,https://talenthub.vectorinstitute.ai/jobs/229115593-bi-specialist-6-month-contract-at-omers,,expired,2023-05-25T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, -7d60b21a-da82-4c1d-a8a6-aa97929a82b1,226184567,Clearpath,Perception Autonomy Developer Co-op,on_site,"Ontario, Canada",2023-05-16T16:15:04.932Z,"

              Description

              -

              Position: Perception Developer Co-op
              Location: Based in Kitchener-Waterloo, Ontario
              Duration: Fall 2023
              Study Level: Senior
              Area of Study: Computer Science, Software Engineering or Related Field
              Division: OTTO Motors

              -

              About OTTO™ Motors (Division of Clearpath Robotics)

              -

              OTTO™ Motors is a growing, disruptive company, making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self-driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit www.ottomotors.com.

              -

              About the Job

              -

              We\'re looking for a driven, resourceful and motivated candidate for the Perception Developer Co-op position. This person will help develop the next generation of perception and machine learning algorithms to tackle the toughest challenges in localization, mapping, object detection and computer vision.

              -

              The Perception Team’s primary responsibility is the development of the core robotics software responsible for environmental sensing and understanding on all of our vehicles. As a Perception Developer you will work on the development and testing of the core robotics software that drives vehicles at sites all around the world. You will be responsible for evaluating state-of-the-art ideas from academia and industry, and taking these ideas out of the lab and into the real world, identifying opportunities to improve, and developing high-performance software to run in real time on robots.

              -

              Your primary responsibilities will be:

              -
                -
              • Creating robust innovative solutions to the problems of robotic perception
              • -
              • Developing custom perception and machine learning algorithms and systems related to localization, mapping, object detection and tracking, computer vision, and more
              • -
              • Evaluating new sensing technology and robotic platforms
              • -
              • Assisting with concept development for new products and projects
              • -
              • Supporting the deployment and testing of robotic systems
              • -
              -

              Skills and experience:

              +

              Hours

              +
              37.5
              +

              +

              Inclusiveness

              +

              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

              +

              +
              ",,https://jobs.td.com/en-CA/jobs/18031712/senior-business-insights-analyst-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-06-26T15:58:01.793Z,False,0,4,27,https://talenthub.vectorinstitute.ai/jobs/231456693-senior-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18031712/senior-business-insights-analyst-markham-ca/,expired,2023-06-01T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +b6b0df53-4a7d-4f5d-ab4b-5df59da32119,235604587,Roche,Finance Center of Excellence - Core Systems & Applications Lead,on_site,"Mississauga, ON, Canada",2023-06-12T20:25:07.300Z,"

              The Position

              +

              We are seeking a highly motivated and experienced Finance Core Systems & Applications Product Owner to join our team. This Product Owner will be responsible for developing, driving and executing our strategy for existing financial reporting & planning applications on platforms such as SAP BW and IBM Cognos TM1 to meet business needs and ensure business continuity. You will be working in an innovative, solution focused way, bringing your Finance subject matter expertise into an agile team approach, partnering closely with various functions in our global organization. You need to be well versed in common financial reporting and planning platforms (SAP BW, IBM Cognos TM1, and others), data flows within SAP R/3 and/or S/4HANA, and exploration of financial data and analytics.You will be collaborating across Finance and with our Informatics Data & Analytics and Financial Planning organizations, as well as our Shared Services organization in building a strategic approach to our core financial reporting and planning systems capabilities for the Finance organization and our business stakeholders.

              +

              +

              This role is for a Digital for Finance team member with extensive experience and subject matter expertise in Financial Systems management in the Biosciences (Pharmaceutical, Diagnostics or similar) industry, with a comprehensive understanding of key financial processes and platforms, organizational needs, and with a value focused approach.

              +

              +

              The successful candidate will be responsible for:

                -
              • Practical and theoretical knowledge in at least one or more areas of: state estimation, computer vision, SLAM, machine learning, object detection and tracking, robotic perception.
              • -
              • Strong software development skills in modern C++ and Python.
              • -
              • Proficiency with Linux
              • -
              • Understanding of software development workflows, life cycles and development methodologies and tools.
              • +
              • Developing a deep understanding of the organization's financial reporting and planning needs and identifying opportunities to leverage and streamline existing financial systems and applications to drive business outcomes.
              • +
              • Working closely with cross-functional teams, including developers, architects, data analysts, and business stakeholders to define product requirements and drive the development of sustainable and scalable finance solutions within the existing ecosystem.
              • +
              • Defining and monitoring key performance indicators (KPIs) for finance data products to measure their effectiveness and impact.
              • +
              • Collaborating with the organization's data governance team to ensure that existing financial systems and applications comply with data security and privacy policies.
              • +
              • Staying up-to-date with industry trends and best practices in finance data products, visualization, and analytics and recommending changes to improve the organization's finance systems & applications strategy.
              -

              Bonus points for:

              +

              +

              Requirements:

                -
              • Hands-on experience with real world autonomous systems.
              • -
              • Experience writing efficient, high performance code.
              • -
              • Experience with ROS, Gazebo, OpenCV and PCL.
              • -
              • Experience with machine learning frameworks such as Tensorflow, PyTorch and TensorRT.
              • -
              • Familiarity with linear algebra and nonlinear optimization techniques and libraries such as Ceres, GTSAM, g2o and Eigen.
              • -
              -

              Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, gender identity/expression, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

              ",,http://jobs.jobvite.com/clearpath/job/oG8bnfw6,feed-importer@jobboard.io,,,,2023-06-15T21:16:05.117Z,False,0,7,40,https://talenthub.vectorinstitute.ai/jobs/226184567-perception-autonomy-developer-co-op-at-clearpath,,expired,2023-05-16T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Manufacturing ,Senior Level,Bachelors Degree,New Posting, -1be53291-6594-4ef6-bddb-95994a8325d2,227919330,TD Bank Group,Data Steward I,on_site,"Toronto, ON",2023-05-21T15:53:02.300Z,"
              -

              Company Overview

              -
              -

              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

              -

              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

              -
              -

              -

              Department Overview

              -
              -

              Our vision to be the Better Bank is grounded in our purpose-driven and forward-focused strategy. The CTO was formed to establish integrated shared services across our four corporate segments – Finance including Specialty Groups, Treasury & Balance Sheet Management (TBSM), HR, Risk Management, Corporate Defense Group, GAML, and Compliance. We’re growing the best of Corporate’s core capabilities, enhancing operational alignment, creating greater capacity and focus, and unlocking new and exciting career paths for colleagues.

              -

              The CTO’s purpose is to strengthen the Bank at its core by leveraging scale and expertise to deliver better business outcomes. We aspire to achieve operational excellence, deliver with confidence, build better capabilities, and create a community of empowered and inspired colleagues. The CTO will enable us to move with purpose towards common goals, simplify how we work and elevate how we deliver customer value. In the CTO, we offer a culture of performance, growth, and collaboration, as well as benefits and resources that support your wellbeing and career development.

              -

              Join our world-class Governance, Risk and Control Team within the CTO which is responsible for central governance, risk and control capabilities for the Corporate Functions. Contribute to enterprise governance, risk and building enterprise capabilities to streamline the three lines of defense and improve effectiveness.

              -
              -

              -

              Job Description

              -
              -

              About this Role

              -

              Are you an experienced data steward or data governance professional? If so, you’ll enjoy working as a data steward in Corporate Transformation & Operations (CTO). If you think you can showcase your expertise and strive to be the best, then join our team to grow!
              As a Data Steward I, you will provide oversight over data risks within your portfolio ensuring TBSM meets enterprise data policies and standards.

              -

              Primary Accountabilities include:

              -
                -
              • Provides data governance expertise and supports, manages and / or executes data governance activities within the TBSM Line of Business.
              • -
              • Develops relationships with key business, enterprise and control partners providing data governance expertise, and leads on day-to-day data governance activities
              • -
              • Ensure the Line of Business (LOB) adheres to data related policies, standards and meets requirements set out by the Enterprise Data and Information Management Policy and Standards
              • -
              • Communicates data governance strategy and processes across business segment
              • -
              • Support the design and implementation of processes, templates, and appropriate mitigating controls, to support enterprise data policy and standards and ensure effective management and control of LOB data
              • -
              • Lead governance and oversight of LOB data management activities, such as identification of critical data and critical data elements, metadata management, data quality tasks and data retention and disposition
              • -
              • Identify and escalate data risks and issues and provide advice and support to business owners in development and implementation of action plans for issue resolution
              • -
              • Provide analysis and support the development of reporting to monitor current and emerging data related risks and escalation processes
              • -
              • Deliver training, tools, and advice to support the governance and oversight of data
              • -
              • Provide data governance expertise to support projects, ensuring projects meet required data governance and management policies and standards
              • -
              -
              -

              -

              Requirements

              -
              -You’re a confident professional with a good understanding of data governance principles, enjoy working with varied stakeholders and possess the following:

              -
                -
              • Undergraduate degree/technical certificate or seven (7) or more years relevant experience
              • -
              • Solid understanding of data governance principles and an understanding of data risk and data management
              • -
              • Ability to independently engage with senior leaders, and influence without direct authority, providing guidance and thought leadership on data governance activities
              • -
              • Planning and organizational skills with a strong ability to work in a fast-paced environment and manage multiple deadlines and priorities, ability to manage functional programs independently
              • -
              • Experience with working in both a technical and business context is an asset; able to translate technical concepts into easy-to-understand business language
              • -
              • A team player with the ability to work independently and as part of a larger team with a proven track record of delivering results by demonstrating the ability to take independent action
              • -
              -
              -

              -

              Additional Information

              -
              -#LI-Hybrid
              -

              -

              Hours

              -
              37.5
              -

              -

              Inclusiveness

              -

              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

              -

              -
              ",,https://jobs.td.com/en-CA/jobs/17566731/data-steward-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-06-19T15:58:04.825Z,False,0,1,30,https://talenthub.vectorinstitute.ai/jobs/227919330-data-steward-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17566731/data-steward-i-toronto-ca/,expired,2023-05-21T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -466e27f2-f279-4ef0-8b2d-8856313942e1,233912695,Scotiabank,"Manager, Data Analysis & Reporting",on_site,Canada : Ontario : Toronto,2023-06-08T15:52:03.075Z,"

              -

              -

              -

              -

              Requisition ID: 178794

              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

              -

              -

              The Manager, Data Analysis & Reporting provides support in the preparation of data and maintenance of technology components of the IB Finance FP&A suite of reports. The Manager produces using various systems and use of technology to deliver the reports enabling the financial planning and analysis processes.

              -

              -

              Accountabilities:

              -

              -
              • -Support in data management activities related to Finance FP&A such as data mapping, data quality/integrity testing, data analytics and data governance such as:
                • Testing and ensure alignment of the data and reports produced for completeness
                • Manage effective control accounting processes and source feeds (systems or manual)
              • Design and develop/enhance innovative reporting solutions to support IB Finance group using Power BI and provide analytical and business insights
              • Respond to ad-hoc investigations, inquiries, data, and report requests as assigned
              • Demonstrate Subject Matter Expertise in data and reporting infrastructure design, configuration, and optimization, providing recommendations on approach and execution
              • Test and validate (QA) new and existing reports and analytics for adherence to business and technical requirements.
              • Maintains effective controls over the accounting processes to ensure the reliability of the financial records and investigates any significant and/or unusual variance or questionable trends
              • Coordinate with IT&S on systems maintenance requirements such as CRFs, process rollover, and other COFA governance
              • Support country finance teams to resolve systems issues inquiries, internal reports
              • Actively seeks and evaluates opportunities to improve existing processes and works with key stakeholders to implement changes as appropriate.
              • Identify opportunities for increased efficiency through automation and systems improvements; increases departmental knowledge through training and cross-training.
              • -
              -

              -

              Education and Experience:

              -

              -
              • 3+ years of experience of financial reporting ideally in financial institutions
              • Degree in Finance, working towards or have CPA or other accounting designation is a plus
              • Expert knowledge of MS Excel, MS Access and VBA
              • Knowledge of Oracle Hyperion and Essbase and SmartView
              • Experience visualizing/presenting data for stakeholders using data visualization tools such as Power BI or Tableau
              • Experience using statistical computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets
              • Knowledge of data management, aggregation and analysis techniques
              • Strong problem-solving skills
              • Experience working with and creating data architectures
              • -
              -

              -

              Location(s): Canada : Ontario : Toronto

              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

              ",,https://jobs.scotiabank.com/job/Manager%2C-Data-Analysis-&-Reporting/570958317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-19T15:57:03.647Z,False,0,7,26,https://talenthub.vectorinstitute.ai/jobs/233912695-manager-data-analysis-reporting-at-scotiabank,https://jobs.scotiabank.com/job/Manager%2C-Data-Analysis-&-Reporting/570958317/,expired,2023-06-08T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -44188f34-cf10-4437-a6e8-27a3d48e5d22,229115561,BenchSci,"Senior Software Engineer, Data",full,"Toronto, Ontario Remote",2023-05-25T16:04:01.782Z,"
              -
              We are looking for a Senior Software Engineer to join our growing Machine Learning team! Reporting to the Engineering Manager, you will evolve our data models, operationalize production-grade data pipelines, and contribute to our document mining/information retrieval initiatives as we expand our ability to extract valuable insights from scientific publications and databases. You will be a part of the BenchSci Machine Learning team, working with a group of passionate engineers as you help shape the future of scientific discovery and progress.
              -

              -
              BenchSci is a remote first organization. At this moment, we are welcoming applicants from Canada, the US and the UK for this position.
              -

              -
              -

              You Will:

              -
                  -
                • Scale data pipelines to allow our data to go from research to platform as fast as possible
                • -
                • Collaborate with ML and Data engineers to solve complex document mining challenges, helping us capture and model additional scientific experiments
                • -
                • Develop data access mechanisms for downstream applications usage
                • -
                • Expand the types of biological reagents and experiments that we can extract from several types of media
                • -
                • Manage sources that contain both semi-structured and unstructured data
                • -
                • Apply data processing engines to process our data sets
                • -
                • Employ best practices for a broad platform of technologies within a cloud-based environment
                • -
                • Provide troubleshooting analysis and resolution promptly
                • -
                • Work on projects involving some of the largest pharmaceutical companies in the world
                • -
                • Solve difficult problems and bring new perspectives to the team
                • -
                • Have opportunities to work both independently and in pair-programming settings
                • -
              -
              -

              You Have:

              -
                  -
                • 5+ years of experience working as a professional developer
                • -
                • Expertise with Python and SQL
                • -
                • Experience with cloud reference architectures and developing specialized stacks on cloud services
                • -
                • Experience with data processing engines (we use Beam)
                • -
                • A background in data structures and large-scale data manipulation
                • -
                • Familiarity with information retrieval theory and practical applications of it
                • -
              -
              -

              Nice to Have, but not Mandatory

              -
                  -
                • Work or academic experience in the life sciences
                • -
                • Experience with Kubernetes in production
                • -
                • Experience with Infrastructure-as-code
                • -
                • Experience with technical design and applying architectural patterns
                • -
                • Experience with statistical analysis of large datasets
                • -
                • Machine learning fundamentals and ML Ops knowledge
                • -
              -
              -

              -

              -
              Benefits and Perks:
              -
              An engaging remote-first culture
              -
              A great compensation package that includes BenchSci equity options
              -
              15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
              -
              Unlimited flex time for sick days, personal days, religious holidays
              -
              Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
              -
              A $2000 CAD* Annual Learning & Development budget
              -
              A $1000 CAD* home office set-up budget
              -
              A $2500 CAD*wellness, lifestyle and productivity spending account for employees
              -
              Generous parental leave benefits with a top-up plan or paid time off options
              -
              *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.
              -

              -
              About BenchSci:
              -
              BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
              -
              Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
              -

              -
              Our Culture:
              -
              BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
              -
              We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
              -
              You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
              -

              -
              -Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
              -

              -
              -Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
              -

              -
              #LI-Remote
              -
              ",,https://jobs.lever.co/benchsci/3ca182d9-7956-4b9e-90a8-cd6ec9ef586c?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-06-19T16:09:03.008Z,False,0,5,44,https://talenthub.vectorinstitute.ai/jobs/229115561-senior-software-engineer-data-at-benchsci,https://jobs.lever.co/benchsci/3ca182d9-7956-4b9e-90a8-cd6ec9ef586c,expired,2023-05-25T16:04:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Senior Level,No Degree,New Posting, -89f9920f-dc04-4102-b589-5ed23ad85a13,236958269,Vector Institute,AI Education Intern,on_site,"Ontario, Canada",2023-06-17T02:12:03.278Z,"

              AI Education Intern

              -

              POSITION OVERVIEW

              -

              The AI Education Intern will have the opportunity to gain real-world experience in professional development of AI education at a leading research institute where the objectives are to help our industry sponsors develop, deploy, and scale the applications of AI within their companies. Reporting to the Director, Professional Development, you will provide AI educational program support and play a key role in ensuring the goals of the professional development team are met.

              -

              Start date: September 11, 2023

              -

              End date: December 22, 2023

              -


              -

              APPLIED INTERNSHIPS AT VECTOR

              -

              The applied internship program at Vector provides relevant, hands-on learning and work experience in machine learning and AI. During the paid internship, interns will have the opportunity to attend research, recruitment, and commercialization talks at Vector and connect with key stakeholders in the ecosystem. Applied internships may be full-time (36.25 hours per week) or part-time (20 hours per week) over the Fall academic term (September 11 - December 22, 2023) with an opportunity to continue over the Winter 2023 academic term. We welcome applications from all qualified candidates. Consistent with Vector’s goals in this program to relieve disadvantage and alleviate the under-representation of Black and Indigenous people in AI, and to attempt to achieve equal opportunity in the field of AI, preference in hiring will be given to qualified Black and Indigenous persons, studying at or having recently graduated from a Canadian post-secondary institute, who self-identify as such in the application process. This initiative is designed to meet the criteria of a special program under the Ontario Human Rights Code.

              -

              The Professional Development (PD) team at Vector combines academic rigor with practical application to drive business value to sponsor companies, small- and medium-sized enterprises (SMEs), and other partners that desire training with a hands-on component to build AI capability within their organization. The AI Education Intern will support the PD team on development of AI technical and non-technical training through talks, workshops, and courses. During this paid internship, the intern will have an opportunity to gain key knowledge about artificial intelligence and its relevance to industry, attend professional development activities, connect with key stakeholders in the ecosystem, support on delivery of educational content, learn about planning and delivery of training to adults, and be a part of the thriving AI community at Vector.

              -


              -

              KEY RESPONSIBILITIES

              -

              Support workflow coordination and perform tasks to help support and facilitate the activities of the Professional Development team including:

              -
                -
              • Leverage AI and ML knowledge to make recommendations on guest speakers, relevant use cases, and engaging content for AI related seminar series, and topical examples of specific AI technologies and AI implementation;

              • -
              • Support training program planning and execution functions, such as meeting coordination with sponsors and stakeholders, preparing meeting materials, tracking action items, and following up with meeting participants;

              • -
              • Assist in the development and management of inspiring AI upskilling and education programs, including talk series, multi-day workshops, and multi-week trainings for Vector’s industry sponsors and partners;

              • -
              • Conduct and audit research on content for AI talk series and webinars, including providing relevant input on upcoming events;

              • -
              • Support end of course deliverables by creating reports and performing quantitative and qualitative analysis; and,

              • -
              • Perform other duties as assigned.

              • -
              -


              -


              -

              PROFILE OF THE IDEAL CANDIDATE

              -
                -
              • You are a student or postdoctoral fellow studying at a Canadian postsecondary institute (university or college) or a recent graduate (within 1 semester of graduation).

              • -
              • You are motivated to apply machine learning techniques to real-world problems.

              • -
              • You act as a technical translator to help non-technical people understand machine learning and other AI techniques.

              • -
              • You are organized and efficient, with strong problem-solving skills; experience in project management considered an asset

              • -
              • You are creative and enjoy collaborating within a small entrepreneurial environment that is results-driven.

              • -
              • You possess a positive attitude, integrity, a sense of humour, and bring a positive energy and outlook to a not-for-profit corporate culture.

              • -
              • You are motivated by continuous learning and the opportunity to make a difference and a real contribution to the AI ecosystem.

              • -
              • Familiarity with GSuite and/or MS Office 365 and Python programming is required.

              • -
              • Previous teaching or facilitation experience in an academic or professional setting is an asset.

              • +
              • Bachelor's degree in finance, accounting, or a related field; MBA preferred.
              • +
              • Minimum of 5 years of experience in finance, data analytics, or a related field.
              • +
              • Experience in the areas of core financial closing and/or planning activities and processes
              • +
              • Strong project management skills, including the ability to manage multiple projects simultaneously and prioritize tasks effectively.
              • +
              • Experience in leading key projects as either a project lead or project manager
              • +
              • Fluent and current on financial reporting, consolidation, planning and analytics tools and trends
              • +
              • Experience with SAP R/3 and/or S/4HANA
              • +
              • Experience with financial reporting tools such as SAP BW, SAP Analytics Cloud, IBM Cognos TM1, Power BI, or similar
              • +
              • Experience with financial planning tools such as SAP Analytics Cloud, SAP BW, IBM Cognos TM1 or similar
              • +
              • Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
              • +
              • Strong analytical skills, with the ability to analyze complex data sets and draw insights that drive business outcomes.
              • +
              • Knowledge of data governance and data security best practices.
              • +
              • Familiarity with agile development methodologies.
              -


              -

              Compensation: $25/hour.

              -


              -

              If you have any questions, please contact internships@vectorinstitute.ai.

              -


              -

              Please address applications (cover letter and resume) to Taylor Walker, Specialist, Internships & Work Integrated Learning, using the link provided. The deadline for submission is June 19, 2023, at 1:00PM EDT. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs. Please note that all interviews are currently being held remotely.

              -

              At the Vector Institute, we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. In order to relieve disadvantage and alleviate the under-representation of Black and Indigenous people in AI, and to attempt to achieve equal opportunity in the field of AI, priority in hiring will be given to qualified Black and Indigenous persons, studying at or having recently graduated from a Canadian post-secondary institute, who self-identify as such in the application process. This initiative is designed to meet the criteria of a special program under the Ontario Human Rights Code.

              -

              If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

              ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=9200420850870_2&jobId=448362&lang=en_CA&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2023-06-22T19:57:00.000Z,False,0,4,20,https://talenthub.vectorinstitute.ai/jobs/236958269-ai-education-intern-at-vector-institute,,expired,2023-06-17T02:12:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Internship/Co-op,Bachelors Degree,New Posting, -2f3936c7-e596-4876-977b-d644e63d6d5d,235578415,RBC,Director Data Strategy and Governance,on_site,"Toronto, ON, Canada",2023-06-12T15:47:02.065Z,"
              -

              Come Work with Us!

              At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

              Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

              -

              Job Title

              Director Data Strategy and Governance

              +
              • Technology and Data savviness, passionate about latest technology trends and data driven mindset, innovative and curious mindset, with a passion for learning and teaching

              -

              Job Description

              -

              What is the Opportunity?

              -

              RBC Capital Markets is undertaking a green field project to build a new capability to serve corporate clients.

              +

              If you are passionate about finance, leveraging powerful financial systems & applications capabilities to drive actionable insights, and are looking for an exciting opportunity to make an impact in a dynamic and growing organization, we encourage you to apply for this position.

              -

              Your role will be to use your deep knowledge of data, combined with your understanding of client and business needs to create the business context to bring our data to life for the US Cash Management team and clients alike. You are a thoughtful, proactive, creative, analytical individual with a passion for solving problems for your colleagues and clients through the use of data.

              +

              ** This role is NOT eligible for relocation**

              -

              What will you do?

              -
                -
              • Develop and drive implementation of the overall Data Strategy for the Business
              • -
              • Collaborate with Technology on the build of the foundational data layer including data infrastructure and provide business requirements and direction
              • -
              • Work with Business and IT partners to define strategic and tactical data requirements of the organization to fulfill business needs.
              • -
              • -Drive the key initiatives of the Data team and make sure the initiatives are aligned and run smoothly
              • -
              • Be the Data SME and primary contact supporting the Business’ various projects, with a focus on data governance, quality, requirements and specifications.
              • -
              • Understand the data sources, flows, architecture, data repositories, data requirements for downstream users
              • -
              • Working with the Data Governance team, review and update Critical Data Element (CDEs), identifying data risks and corresponding data controls.
              • -
              • Review, understand and challenge the lineage of documented CDEs
              • -
              • Working with partners, to ensure the Business complies with data privacy policies and data protection regulations.
              • -
              • Supporting the data requirements for Client Statements
              • -
              • Keep up to date with Agile best practices
              • -
              • Foster a data-driven culture
              • -
              +

              Who we are

              +

              At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

              +

              Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche's truly innovative culture.

              -

              What do you need to succeed?

              -

              Must-have

              -
                -
              • 10+ years experience supporting a data initiative
              • -
              • Bachelor degree in Computer Science, Engineering, Technology or related field
              • -
              • Database development, querying and analysis tools and languages such as SQL, Oracle, Python, Data Visualization, Tableau etc
              • -
              • Passion for data, and commitment to learn new data capabilities
              • -
              • Knowledge of data governance and data management concepts such as critical data elements, data lineage, data accuracy and completeness and data controls
              • -
              • Understanding of technical data concepts such as data ingestion, data warehouse, data lakes, master reference data, data models, systems of record, aggregation layer and reporting systems
              • -
              • Experience with using Jira and Confluence
              • -
              • Excellent business communication skills (written and oral).
              • -
              • Ability to work independently and possess strong analytical and data problem-solving skills
              • -
              • Strong collaboration and relationship management skills
              • -
              • Effective time management and organizational skills to meet tight timeframes, as well as flexibility to adapt to changing priorities while assessing impact to existing work
              • -
              +

              As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

              -

              What\'s in It for You?

              -

              We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

              +

              Roche is an Equal Opportunity Employer.

              ",,https://roche.wd3.myworkdayjobs.com/roche-ext/job/Mississauga/Finance-Center-of-Excellence---Core-Systems---Applications-Lead_202306-113631,aitalent@vectorinsitute.ai,https://www.roche.com/careers.htm,,,2023-06-26T23:30:00.000Z,False,0,1,14,https://talenthub.vectorinstitute.ai/jobs/235604587-finance-center-of-excellence-core-systems-applications-lead-at-roche,,expired,2023-06-12T20:25:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,New Posting, +899b7a6f-f1b9-4972-976b-8fac4d026d48,231447033,BMO Financial Group,"Manager, Modelling & Analytics",on_site,"Ontario, Canada",2023-06-01T15:39:02.767Z,"
              +

              Address:

              100 King Street West

              +

              +

              Job Family Group:

              Data Analytics & Reporting

              +

              +

              +

              +

              Supports the research and development of quantitative risk modeling methodologies and related strategies in support of the management of risks arising from business/group portfolios and products. Applies knowledge of analytics algorithms and technologies to develop forward looking models and analytic solutions that ensure risks are properly identified, understood and risk related strategies are enabled. Summarizes statistical findings, draws business conclusions, and presents actionable business recommendations used in the management of risks and related activities e.g. associated internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations. Drives innovation through the development of data products that can be leveraged across the organization and establishes best practices as well influences data governance guidelines and policies. May specialize in one or more risk categories e.g. Credit Risk, Market Risk, Interest Rate Risk, etc.

                -
              • Positive work culture emphasizing diversity and inclusion, volunteerism and community involvement
              • -
              • A comprehensive Total Rewards Program including great benefits, annual incentive program and recognition
              • -
              • Leaders who support your development
              • -
              • A dynamic, collaborative, and high-performing team
              • -
              • Opportunities to do challenging work and grow your career
              • +
              • Acts as a trusted advisor to assigned business/group.
              • +
              • Influences and negotiates to achieve business objectives.
              • +
              • Recommends and implements solutions based on analysis of issues and implications for the business.
              • +
              • Assists in the development of strategic plans.
              • +
              • Identifies emerging issues and trends to inform decision-making.
              • +
              • Supports the execution of strategic initiatives in collaboration with internal and external stakeholders.
              • +
              • Helps determine business priorities and best sequence for execution of business/group strategy.
              • +
              • Conducts independent analysis and assessment to resolve strategic issues.
              • +
              • Automates validation tests to improve quality and efficiency of the validation process.
              • +
              • Identifies emerging issues and trends to inform decision-making.
              • +
              • Builds effective relationships with internal/external stakeholders.
              • +
              • Ensures alignment between stakeholders.
              • +
              • Cleanses, manipulates, and transforms data through programming/scripting for model training and validation.
              • +
              • Conducts various pre-implementation and post-implementation analyses to estimate/measure business impact caused by model adoption (e.g., revenue increase, cost reduction, corporate brand image).
              • +
              • Provides input into the planning and implementation of operational programs.
              • +
              • Executes work to deliver timely, accurate, and efficient service.
              • +
              • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
              • +
              • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
              • +
              • Works with stakeholders to identify the business requirements, understand the distinct problems, and the expected outcome and models and frames business scenarios which impact critical business processes and/or decisions.
              • +
              • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
              • +
              • Applies scripting/programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
              • +
              • Develops agreed analytical solution by applying suitable statistical techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, artificial intelligence) to test, verify, refine hypotheses.
              • +
              • Summarizes statistical findings and draws conclusions and presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
              • +
              • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
              • +
              • Performs experimental design approaches to validate finding or test hypotheses.
              • +
              • Uses the appropriate algorithms to discover patterns.
              • +
              • Builds effective relationships with internal/external stakeholders. Ensures alignment between stakeholders.
              • +
              • Supports development of tools and delivers training for data and analytics.
              • +
              • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
              • +
              • Leads/participates in the design, implementation and management of core business/group processes.
              • +
              • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
              • +
              • Provides specialized consulting, analytical and technical support.
              • +
              • Exercises judgment to identify, diagnose, and solve problems within given rules.
              • +
              • Works independently and regularly handles non-routine situations.
              • +
              • Broader work or accountabilities may be assigned as needed.

                Qualifications:

                +
              • +
              • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
              • +
              • Data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS.
              • +
              • Relevant experience in risk, capital, and/or treasury management is preferred.
              • +
              • A professional designation in Finance or Risk management is preferred.
              • +
              • Post-secondary degree in Finance/Economics/Math required.
              • +
              • Professional designation in Finance or Risk management required.
              • +
              • Deep knowledge and technical proficiency gained through extensive education and business experience.
              • +
              • Verbal & written communication skills - In-depth.
              • +
              • Collaboration & team skills - In-depth.
              • +
              • Analytical and problem solving skills - In-depth.
              • +
              • Influence skills - In-depth.
              • +
              • Data driven decision making - In-depth.
              -

              Work-life integration

              +

              +

              +

              We’re here to help

              +

              At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

              -

              Job Summary

              RBC Capital Markets is undertaking a green field project to build a new capability to serve corporate clients.

              Your role will be to use your deep knowledge of data, combined with your understanding of client and business needs to create the business context to bring our data to life for the US Cash Management team and clients alike. You are a thoughtful, proactive, creative, analytical individual with a passion for solving problems for your colleagues and clients through the use of data.

              Address:

              TORONTO, Ontario, Canada

              City:

              CAN-ON-TORONTO

              Country:

              Canada

              Work hours/week:

              37.5

              Employment Type:

              Full time

              Platform:

              Capital Markets

              Job Type:

              Regular

              Pay Type:

              Salaried

              Posted Date:

              2023-05-31

              Application Deadline:

              2023-06-06
              -

              Inclusion and Equal Opportunity Employment

              -

              At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
              ​​​​​​​
              We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

              -
              -

              Join our Talent Community

              Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

              Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

              -
              ",,https://jobs.rbc.com/ca/en/job/R-0000060683/Director-Data-Strategy-and-Governance,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-06-22T19:56:00.000Z,False,0,1,14,https://talenthub.vectorinstitute.ai/jobs/235578415-director-data-strategy-and-governance-at-rbc,,expired,2023-06-12T15:47:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, -06b27563-0993-4993-b715-8e5f95063d60,233912694,Scotiabank,"Manager, Data Science",on_site,Canada : Ontario : Toronto,2023-06-08T15:52:02.831Z,"

              -

              -

              -

              -

              Requisition ID: 170914

              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

              -

              -

              -

              Purpose

              -

              -

              Executes advanced analytics projects for Global Operations that deliver quantifiable benefits and improvements in business processes aligned to strategic objectives. The incumbent will leverage quantitative knowledge, data storytelling skills, data visualization tools and business knowledge to drive a superior customer experience and enable business strategy. She/he will ensure all activities conducted are in compliance with governing regulations, internal policies and procedures.

              -

              -

              Accountabilities

              -

              -
              • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
              • Leverages Operations Research tools to optimize business processes. Finds new opportunities of solving business problems in Global Operations.
              • Champions data-driven decision making across functions by making analytical recommendations based on operational/financial/customer data and benchmarks. Identifies opportunities for operational efficiencies and cost savings.
              • Leverages advanced analytics techniques to improve customer/employee experience and end-to-end business processes, with a focus on optimization and simulation techniques.
              • Builds and maintains relationships with multiple stakeholders and keeps cross-functional lines of communication. Strong interpersonal and communication skills are essential.
              • Provides advanced data mining techniques to provide fact-based analysis. Leverage agility and creativity to maximize value and insight delivered by data analysis. Utilize varied and complex data sources, including enterprise data lake, cloud and diverse source systems.
              • Utilizes visualization tools (Power BI) to communicate analytical insights and to support relationships with stakeholders. These insights are expected to strategically influence decisions of business operations management and create value.
              • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
              • Actively pursues effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
              • Champions a high-performance environment and contributes to an inclusive work environment.
              • -
              -

              -

              -

              -

              Education / Experience / Other Information

              -

              -
              • Postgraduate University degree in analytics, data science, engineering, statistics, mathematics or related fields
              • 2+ years of experience in managing and analyzing data with advanced techniques
              • Working experience in people analytics, operations research techniques such as process optimization and simulation techniques
              • Advanced knowledge of Python, SQL, Power BI and DAX
              • Knowledge of Banking Industry, such as products, services, policies and procedures, regulations and related regulatory requirements is an asset
              • Excellent verbal and written communication skills to effectively present information to relevant stakeholders at all levels of the organization
              • -
              -

              -

              -

              Location(s): Canada : Ontario : Toronto

              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

              ",,https://jobs.scotiabank.com/job/Manager%2C-Data-Science/566728817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-22T15:57:03.679Z,False,0,8,36,https://talenthub.vectorinstitute.ai/jobs/233912694-manager-data-science-at-scotiabank,https://jobs.scotiabank.com/job/Manager%2C-Data-Science/566728817/,expired,2023-06-08T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, -d23d83ab-e159-4a2b-bada-af76bf33474c,230064594,EY,Senior Manager - Data Risk - Quality and Governance Management,on_site,Toronto,2023-05-28T16:01:03.381Z,"

              Senior Manager - Data Risk - Quality and Governance Management

              -
              Location: Toronto
              -
              Other locations: Primary Location Only
              -
              Date: 18-May-2023
              -
              At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
              -
              -

              We help the world’s largest financial institutions navigate the intricate regulatory environment to effectively manage and assess capital in support of their ongoing strategies. More than ever, financial institutions are investing in enhancing their capital management capabilities to make better business decisions, presenting us with the unique opportunity to rally together to solve our clients’ most complex challenges.

              -

              -

              The opportunity

              -

              -

              EY’s Financial Services Risk Management (FSRM) practice is a consulting unit that provides risk management support to banks, insurers and asset managers. Our team includes individuals who have industry, client and product knowledge as well as quantitative, regulatory, project management and technology professionals.

              -

              -

              We are seeking a Senior Manager with minimum 10-years experience in Data Risk, Data Quality, and Data Governance Management acquired in the banking industry or in consulting services to join our team.

              -

              -

              Your key responsibilities

              -

              -

              As a Data Risk, Quality and Governance Management Senior Manager you will provide subject matter expertise on the design, development and implementation of data risk programs to help our clients proactively identify and manage risks related to their data. You will also provide subject matter expertise to help our clients improve the quality of their Finance and Risk Data through strong governance practices aligned to regulatory expectations.

              -

              -

              You will develop materials, tools and methodologies to support client delivery, thought leadership and go-to-market activities (including conferences, client proposals, targeted campaigns). You will actively participate in business development activities to identify, generate and close new business opportunities.

              -

              -

              You will be responsible for leading multiple client engagement teams, overseeing and managing the delivery team, and delivering high-quality services and deliverables to our clients based on industry leading practices, EY frameworks, and regulatory expectations for Data Risk, Quality and Governance Management.

              -

              -

              This role provides the unique opportunity to build a professional network, tackle complex data issues, and provide thought leadership to shape the understanding and management of data risk, quality and governance management across industry leading clients and domains.

              -

              -

              Additional responsibilities include:

              -
              • Helping clients establish data governance and risk programs to drive data ownership and stewardship into the client businesses
              • Performing data governance reviews, designing target operating models, designing/implementing/assessing IT and data controls, performing data risk and data literacy assessments
              • Conducting current state assessments, evaluating assessment results, and presenting findings in a logical and easy-to-understand manner (for both Data Risk and Data Governance Management)
              • Conducting data quality and completeness certifications for finance and risk datasets and providing actionable recommendations (e.g., historical data certification of credit risk data)
              • Assisting clients with setup of 3 LOD data risk management framework
              • Assisting with data architecture reviews and advising on data solutions that pertain to data governance programs (data catalogue, data quality, business glossary, data tools/software, metadata management, master data management, lineage)
              • Developing, leading, and implementing plans that will roll out the data management, governance and data risk management programs within the client organization
              • Performing gap analyses to determine initiatives and build out roadmaps to address identified gaps focused on communication plans, governance structures, and investment prioritization for execution
              • -
              -


              Skills and attributes for success

              -
              • Strong communication, presentation and writing skills to describe ideas, concepts and issues, analysis and assessment of complex conceptual topics
              • Be self-motivated and passionate about data strategy, management, governance and risk
              • Willingness to travel on short notice to Canadian clients (travel is expected to be less than 20%)
              • -
              -


              To qualify for the role, you must have

              -
              • University degree required in finance, computer science, information systems, mathematics engineering, or a related discipline
              • Bilingual skills in French and English are a strong asset
              • 5+ years of experience developing data management and governance strategies
              • 10+ years of experience in and understanding of concepts and frameworks pertaining to Data Management- Data Governance, Data Policy, Data Lineage, Data Quality, Data Risk and Control Frameworks, Data Literacy, Reference Data Management, Metadata Management
              • Possess knowledge of frameworks, standards and regulatory requirements related to Data Governance, Data Management - BCBS239, CCAR, etc.
              • Knowledge of SQL with experience operating in big data environments.
              • Knowledge of Finance and Risk data sets including technology environment and infrastructure (e.g., data lakes, cloud storage, enterprise data warehouse, banking systems, etc.) at Financial Institutions
              • Strong leadership experience within data management and governance
              • Worked with or have an understating of EDM Council DCAM assessment or an alternative data maturity assessment; be certified in EDM Council DCAM Assessment
              • Experience with data management tools such as Collibra, Informatica, etc.
              • Advanced problem-solving skills, superior communication (verbal and written) with the ability to lead meetings, hold workshops with executives, communicate complex ideas effectively, advocate solutions and results to technology and business audiences
              • Experience working independently, efficiently, and effectively under tight timelines and delivering results by critical deadlines
              • Experience of Agile and traditional SDLC delivery methodologies
              • -
              -


              Ideally, you’ll also have

              -
              • Prior consulting experience
              • Demonstrated history of driving revenue within existing clients and in developing new prospects at the ""C"" level of Fortune 500 companies.
              • -
              -


              What we look for

              -

              -

              If you’re a natural leader with a talent for answering and communicating complex client problems, we’re interested in you. You’ll need to be great at influencing people, ready to listen and confident in challenging the status quo. If you have a genuine passion for helping businesses and addressing their most pressing problems, this role is for you.

              -

              -

              What we offer

              -

              -

              At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

              -

              -

              We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you to decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

              -
              • Support and coaching from some of the most engaging colleagues in the industry
              • Learning opportunities to develop new skills and progress your career
              • The freedom and flexibility to handle your role in a way that’s right for you
              • -
              -

              -

              Diversity and Inclusion at EY

              -

              -

              Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. From our actions to combat systemic racism and our advocacy for the LGBT+ community to our innovative Neurodiversity Centre of Excellence and Accessibility initiatives, we welcome and embrace the diverse experiences, abilities, backgrounds and perspectives that make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

              -
              -
              -
              EY | Building a better working world
              -
              -
              EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
              -
              -
              Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
              -
              -
              Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
              ",,https://careers.ey.com/ey/job/Senior-Manager-Data-Risk-Quality-and-Governance-Management/902292901/,feed-importer@jobboard.io,,,,2023-06-22T16:06:02.858Z,False,0,4,25,https://talenthub.vectorinstitute.ai/jobs/230064594-senior-manager-data-risk-quality-and-governance-management-at-ey,https://careers.ey.com/ey/job/Senior-Manager-Data-Risk-Quality-and-Governance-Management/902292901/,expired,2023-05-28T16:01:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,New Posting, +

              As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

              +

              +

              To find out more visit us at https://jobs.bmo.com/ca/en.

              +

              +

              BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

              +

              +

              Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

              +
              ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Modelling---Analytics_R220026982?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-07-01T18:04:35.767Z,False,0,3,27,https://talenthub.vectorinstitute.ai/jobs/231447033-manager-modelling-analytics-at-bmo-financial-group,,expired,2023-06-01T15:39:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, bb453727-3ed1-4d88-861b-0f8ecb5cdb6a,239887325,Scotiabank,"Vice President, Retail Models & Analytics",on_site,Canada : Ontario : Toronto,2023-06-26T15:52:02.259Z,"

              @@ -62787,6 +70153,236 @@ d8ec1122-e915-41d9-9109-9dd004261aef,233912680,Google,"Technical Sales Specialis
              ",,"https://careers.google.com/jobs/results/106663788079391430-technical-sales-specialist-data-analytics-google-cloud/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-07-04T01:59:03.250Z,False,0,9,45,https://talenthub.vectorinstitute.ai/jobs/233912680-technical-sales-specialist-data-analytics-google-cloud-at-google,,expired,2023-06-08T15:51:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, 10a02514-ce25-4556-9170-8a940edddf9c,233912684,Google,"Software Developer Intern, BS, Fall 2023",on_site,"Toronto, ON, Canada",2023-06-08T15:51:01.661Z,"
              Google Careers is temporarily undergoing maintenance. Some actions are unavailable.
              ",,"https://careers.google.com/jobs/results/75518189561094854-software-developer-intern-bs-fall-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-07-04T01:59:03.250Z,False,0,12,52,https://talenthub.vectorinstitute.ai/jobs/233912684-software-developer-intern-bs-fall-2023-at-google,,expired,2023-06-08T15:51:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Bachelors Degree,New Posting, +5f3a3281-bb92-4632-acc3-5816c08aa83f,236957760,Borealis AI,Senior Machine Learning Researcher - Atom Group,on_site,"Ontario, Canada",2023-06-17T01:58:02.591Z,"
              +

              What\'s the opportunity?

              +

              As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

              +

              Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

              +

              Your responsibilities include:

              +
                +
              • Developing novel AI solutions that facilitate impactful products;
              • +
              • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
              • +
              • Working with the development team to transfer research work into production;
              • +
              • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
              • +
              • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
              • +
              +

              You’re our ideal candidate if you have:

              +
                +
              • A passion for solving open problems using data and algorithms;
              • +
              • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
              • +
              • Ability to formulate and drive a research project independently without close supervision;
              • +
              • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
              • +
              • Demonstrated ability to deliver machine learning solutions following industry best practices in software engineering is an asset.
              • +
              • Experience with time series or event forecasting, especially with asynchronous data, is an asset.
              • +
              +

              What’s in it for you?

              +
                +
              • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
              • +
              • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
              • +
              • Leaders who support your development through coaching and managing opportunities;
              • +
              • Ability to make a difference and lasting impact from a local-to-global scale.
              • +
              +

              About Borealis AI

              +

              Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

              +

              Inclusion and Equal Opportunity Employment

              +

              RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request

              +
              ",,https://www.borealisai.com/careers/?gh_jid=5870636002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-07-14T02:03:02.420Z,False,0,5,48,https://talenthub.vectorinstitute.ai/jobs/236957760-senior-machine-learning-researcher-atom-group-at-borealis-ai,,expired,2023-06-17T01:58:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,PhD,New Posting, +84d3bfd3-a03a-4b47-b039-8fb68bce3683,243217460,Avidbots,Senior Software Test Engineer,on_site,"Ontario, Canada",2023-07-05T02:18:05.602Z,"
              +

              This is a unique role within the QA team working on the cutting edge of robotics technology, and testing everything from path planning, sensor data algorithms to safety systems and performance. The role requires a self-starter who can take ownership of testing the robot software in-house by writing and executing automated test scripts that primarily optimize on overall test coverage and produce detailed reports for test results. If you are passionate about test automation, eager to help build and contribute to our automated test framework, then you just might be the professional we’re looking for!

              +

              +

              Day-to-Day Activities

              +
              • +Develop automated test suites using Python and Selenium for robots using the ROS operating system
                  +
                +
                  +
                • Design, implement and test automated test scripts that meet the overall business requirements of overall system functionality including graphical user interface
                • +
                • Document automated tests in Zephyr with emphasis on correctness and completeness
                • +
                • Integrate Jenkins with bitbucket to automate the process of continuous integration and deployment
                • +
                • Perform initial diagnosis of bugs found in automation and communicate failures to stakeholders using Jira
                • +
                • Identify opportunities to improve the test automation framework and test methodologies
                • +
                +

                +
                  +

                  Requirements

                  +
                    +
                  • BEng / BSc in Computer Science, or Software Engineering
                  • +
                  • 5+ years experience with software development and test automation
                  • +
                  • Demonstrated expertise in Python programming with knowledge of scripting, data analysis, data structures, algorithms, and object oriented programming
                  • +
                  • Strong knowledge with Python Selenium, PyGui and PyYAML
                  • +
                  • Effective functional, performance, regression and e2e automation experience
                  • +
                  • Extensive background in Linux operating systems (5 years), including Command Line Interface, shell scripting and system configuration
                  • +
                  • Experienced with using Git, Bitbucket, Jenkins, Jira, Confluence and Test Case Management systems like Zephyr
                  • +
                  • Strong understanding of test methodologies, processes, and tools including continuous integration and continuous delivery
                  • +
                  • Effective communication and collaboration skills working in a team environment
                  • +
                  +
                  • Successfully complete pre-employment onboarding requirements that may include: criminal/civil background checks and motor vehicle records search)
                  +

                  +

                  Nice to Haves

                  +
                    +
                      +
                    • Knowledge with the Robot Operating System (ROS)
                    • +
                    • Familiar with Docker, Ansible, and Beautifulsoup
                    • +
                    • Should be able to develop an automated test framework from scratch
                    • +
                    +

                    +

                    About Avidbots

                    +

                    At Avidbots, we believe in solving real world problems with autonomous cleaning robotic solutions to unlock humanity’s potential. Neo is our current groundbreaking autonomous floor scrubbing robot that enhances facility cleanliness around the world empowering reallocation of human capital to higher priority focuses… and we’re just getting started!

                    +

                    +

                    Headquartered in Kitchener, ON, Canada, we are an employee-focused organization that has been certified a Great Place to Work® consecutively for the last 4 years and one of Deloitte\'s Fast 500 (2021).

                    +

                    +

                    Now is your opportunity to join a fast-growing technology company built on teamwork, innovation, and boundless ambition!

                    +

                    +

                    Check Neo out!

                    +

                    +

                    ***Applicants must be currently authorized to work in Canada for any employer

                    +

                    +

                    CAD: Avidbots is an equal opportunity employer committed to building a diverse workforce. As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. We are a diverse Canadian company founded by international students, and we are proud of the strengths our diversity brings. We hold our executives to the same standards as all of our employees, and we believe work should be a safe space for all. Avidbots has an absolutely zero tolerance policy for discrimination or hate against members of any race, religion or sexual orientation. We also offer a professional working environment and culture and believe that work / life balance is critical to ensure the happiness/well-being of our people.

                    +


                    Upon request, Avidbots will provide reasonable accommodation for applicants with disabilities throughout the recruitment and selection process.

                    +

                    +

                    #INDAV

                    +
                    ",,https://avidbots.bamboohr.com/careers/672,feed-importer@jobboard.io,,,,2023-07-14T02:23:03.254Z,False,0,1,18,https://talenthub.vectorinstitute.ai/jobs/243217460-senior-software-test-engineer-at-avidbots,,expired,2023-07-05T02:18:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Senior Level,Bachelors Degree,New Posting, +f007dfee-78ae-42c2-8b8e-65cf3d8832a9,237381185,Scotiabank,Data Analytics Specialist,on_site,Canada : Ontario : Toronto,2023-06-18T15:52:02.522Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 178401

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    +

                    The Team

                    +

                    GOCT – International CRM Data and Analytics Team provides data management and analytical solutions to support business intelligence and reporting (Financial Risk, Regulatory and Executive Management) on customer relationship management activities.

                    +

                    +

                    The Role

                    +

                    The Data Analytics Specialist contributes to the overall success of the IB CRM Support team by actively participating in the Development, Operations and Maintenance of the Data Marts, the Analytical solutions based on Power BI platform and the Infor Omni Channel Campaign Management application.

                    +

                    +

                    Some of the Key Accountabilities include:

                    +
                    • Develop and maintain complex reports and supporting data structures on Power BI and Web Browser based reports on Infor Omni Channel Campaign Management application.
                    • Manage user access to these reports.
                    • Provide hands-on operational support over the execution of the daily/weekly/monthly production cycles as well as on-demand data extractions from various data providers including certified data sources and BNS applications
                    • Deliver on International Banking Caribbean CRM data management strategy through the day-to-day support of relational data models with a focus on data delivery through managing data ingestion, transformation, exception identification, data investigations and troubleshooting.
                    • Maintain a strong working relationship with peers across the business lines including key stakeholders in International Retail Products and Marketing, Customer Insights, and Global Risk Management
                    • Support, maintain and enhance International Banking Infor Omni Channel campaign management solution (Epiphany) and Customer centric Caribbean data mart
                    • Provide advice in the form of day-to-day technical support to team members and user community. Contribute to the team Agile culture and leverage Scrum and Kanban in daily activities
                    • +
                    +

                    +

                    What You Will Bring to Succeed

                    +
                    • 5+ years of experience in data warehousing, data analysis and Reporting based on Power BI/ Tableau or other reporting tools. Preference is for Power BI.
                    • Strong knowledge of Microsoft SQL Server ecosystem Data Tools including SSMS, SSIS, SSAS and Visual Studio is a must.
                    • Hands-on experience in ETL and query tools including SAS, T-SQL, SSIS, “dbVisualizer” will be a plus.
                    • Experience in Atlassian Jira/Confluence, GIT, TFS/Azure DevOps
                    • Proven interpersonal, analytical and problem resolution skills
                    • Effective communication and presentation skills (written/verbal)
                    • University degree in Software Engineering/Computer Science related field
                    • +
                    +

                    +

                    The Workplace

                    +
                    • We are technology partners who help the business transform how our employees around the world work
                    • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                    • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
                    • We foster an environment of innovation and continuous learning
                    • We care about our people, allowing them to design how they work to deliver amazing results
                    • We offer a competitive total rewards package, including a performance bonus, company matching programs (on pension & profit sharing), and generous vacation
                    • +
                    +

                    +

                    #LI-Hybrid

                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Data-Analytics-Specialist-ON-M5H1H1/570454617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-17T15:57:03.994Z,False,0,11,84,https://talenthub.vectorinstitute.ai/jobs/237381185-data-analytics-specialist-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Analytics-Specialist-ON-M5H1H1/570454617/,expired,2023-06-18T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +fcaa3524-52ae-44f7-a1ad-f9589624425a,243157384,Loblaw Companies Ltd.,"Data Scientist, Acquisition Strategy",on_site,"Toronto, ON, Canada",2023-07-04T19:12:17.370Z,"

                    Referred applicants should not apply directly to this role.

                    +

                    All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                    +

                    +

                    +

                    Location:

                    +

                    500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

                    +

                    +

                    When you hire great people, great things can happen.

                    +

                    PC Financial offers unprecedented value to Canadians through payment products. We're a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

                    +

                    +

                    Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

                    +

                    +

                    Why this Role is Important:

                    +

                    As a pivotal role within our organization, you will harness the power of data to identify and optimize acquisition strategies, ensuring our bank attracts high-quality customers while improving profitability. With your analytical expertise and collaborative approach working with a highly motivated team, you can help us unlock hidden insights, develop predictive models, and drive data-driven decision-making across various channels. By effectively using data, you will enable the bank to make informed decisions, improve customer experiences, and unlock substantial value, propelling us ahead in an ever-evolving industry.

                    +

                    +

                    +

                    What You'll Do:

                    +
                      +
                    • Develop and monitor acquisition strategies for prospects from face to face and digital channels. Use advanced analytics and modeling/machine learning to understand how the behaviour of customers and prospects, their interactions and touchpoints, contribute to their overall customer experience to inform the overall acquisition strategy.
                    • +
                    • Collaborate with product and sales teams to develop a detailed understanding of business objectives to deliver customer-focused insights, analytics solutions and customer acquisition strategies.
                    • +
                    • Through statistical analysis (e.g. Linear and Logistic regression, Gradient Boosting, Random Forest, etc.), understand and measure the changing needs of the target customer to influence the customer experience.
                    • +
                    • Conduct multi-variate testing and A/B testing to measure effectiveness of strategies and refine them as needed.
                    • +
                    • Translate customer data into cross-channel customer insights, and competitive intelligence reports, which will form a strategy to meet customer needs and improve customer acquisition, growth and retention.
                    • +
                    • Use structured and unstructured rich data sources (including but not limited to internal customer data, competitive intelligence, industry benchmarks, voice of the customer, and web analytics) to produce customer/prospect experience metrics and insights, including awareness, engagement and customer loyalty, across all channels.
                    • +
                    • Measure the effectiveness of the customer journey, by using path analysis, channel attribution and media mix modeling, providing specific recommendations to increase revenue or reduce costs.
                    • +
                    • Present business analysis results and recommendations to key partners.
                    • +
                    +

                    +

                    +

                    +

                    What You'll Bring:

                    +
                      +
                    • Post-Secondary education or equivalent experience in a quantitative field preferred (Statistics, Mathematics, Computer Engineering/Science, or Operations Research)
                    • +
                    • Minimum of 3 years progressive experience analyzing structured and unstructured data, developing and executing on strategies and making strategic recommendations to management.
                    • +
                    • Proven track record of developing and implementing data models and solutions that drive value to organizations
                    • +
                    • Experience in working with statistical software applications (e.g. SAS, R, or Python)
                    • +
                    • Experience with SQL, Adobe Analytics and Google Analytics is an asset.
                    • +
                    • Strong MS Office (Excel, Access, PowerPoint) skills.
                    • +
                    • Excellent analytical, storytelling, and problem-solving skills.
                    • +
                    • Ability to distill and communicate complex analytic recommendations to both technical and non-technical partners, both orally and in written presentations.
                    • +
                    • Results oriented with a proven ability to be involved in multiple projects/initiatives of varying size and complexity, while prioritizing and balancing several tasks within a fast-paced work environment.
                    • +
                    +

                    +

                    Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

                    +

                    +

                    +

                    Number of Openings:

                    +

                    1

                    +

                    +

                    PC Financial recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

                    +

                    +

                    In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                    +

                    ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Data-Scientist--Acquisition-Strategy_R2000355657?q=analytics+ontario,aitalent@vectorinstitute.ai,https://www.loblaw.ca/en/careers.html,,,2023-07-18T00:45:00.000Z,False,0,26,137,https://talenthub.vectorinstitute.ai/jobs/243157384-data-scientist-acquisition-strategy-at-loblaw-companies-ltd,,expired,2023-07-04T19:12:00.000Z,admin,Enterprise (500+),Application Click Through,Retail,Mid-Senior Level,Bachelors Degree,New Posting, +835e7ba8-fe00-4d7b-a830-786bf1aac47c,236957198,BMO Financial Group,"Senior Analyst, Risk Management",on_site,"Ontario, Canada",2023-06-17T01:42:02.982Z,"
                    +

                    Address:

                    250 Yonge Street

                    +

                    +

                    Job Family Group:

                    Data Analytics & Reporting

                    +

                    +

                    +

                    +

                    Supports the execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies. Supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance and minimizes risk.

                    +
                      +
                    • Breaks down strategic problems, and analyses data and information to provide insights and recommendations.
                    • +
                    • Acts as a resource for team members with less experience
                    • +
                    • Leads or assists with the maintenance, monitoring, measurement & reporting on the status of the risk reporting strategies performance.
                    • +
                    • Designs, develops, and implements reporting solutions to meet management and regulatory reporting requirements.
                    • +
                    • Provides advice and guidance to assigned business/group on implementation of analytical and reporting solutions.
                    • +
                    • Executes work to deliver timely, accurate, and efficient service for scheduled reporting production processes.
                    • +
                    • Supports the maintenance, monitoring, and measurement of key risk indicators to internal & external stakeholders.
                    • +
                    • Analyses data and information to provide risk-related insights and recommendations for the assigned portfolio e.g. capital at risk modeling, risk/return assessments, etc.
                    • +
                    • Supports the interpretation of internal and external policies and regulatory requirements relevant to the analytics and reporting mandate e.g. regulatory reporting.
                    • +
                    • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
                    • +
                    • Ensures strong governance and effective controls across risk reporting activities and information in accordance with enterprise standards.
                    • +
                    • Analyzes data and highlights significant information including variances, trends, opportunities and exposures; escalates as required.
                    • +
                    • Provides information and supports the process for internal and external audits.
                    • +
                    • Gathers and formats data into regular and ad-hoc reports, and dashboards.
                    • +
                    • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • +
                    • Builds effective relationships with internal/external stakeholders.
                    • +
                    • Supports the maintenance of operational procedures and processes related to analytical and reporting processes.
                    • +
                    • Supports the development of tools and delivery of training focused on awareness and understanding of key data elements used in risk reporting.
                    • +
                    • Participates in the design, implementation and management of core business processes to ensure the accuracy of risk data used in reporting.
                    • +
                    • Organizes work information to ensure accuracy and completeness.
                    • +
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                    • +
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • +
                    • Works independently on a range of complex tasks, which may include unique situations.
                    • +
                    • Broader work or accountabilities may be assigned as needed.

                      Qualifications:

                      +
                    • +
                    • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                    • +
                    • Knowledge of risk management metrics, KPIs and KRIs.
                    • +
                    • Knowledge of industry trends and regulatory requirements for risk reporting.
                    • +
                    • Product knowledge for the designated business/portfolio.
                    • +
                    • Knowledge of risk management theory, processes and portfolio management reporting techniques.
                    • +
                    • Knowledge of reporting & analytics concepts and applications.
                    • +
                    • Knowledge of risk systems technology.
                    • +
                    • Technical proficiency gained through education and/or business experience.
                    • +
                    • Verbal & written communication skills - In-depth.
                    • +
                    • Collaboration & team skills - In-depth.
                    • +
                    • Analytical and problem solving skills - In-depth.
                    • +
                    • Influence skills - In-depth.
                    • +
                    • Data driven decision making - In-depth.
                    • +
                    +

                    +

                    +

                    We’re here to help

                    +

                    +

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    +

                    +

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    +

                    +

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    +

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    +

                    +

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Analyst--Risk-Management_R220022478?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-07-18T00:41:00.000Z,False,0,1,26,https://talenthub.vectorinstitute.ai/jobs/236957198-senior-analyst-risk-management-at-bmo-financial-group,,expired,2023-06-17T01:42:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, e0eeba76-12da-47f7-8422-d8540c2d2009,24510860,integrate.ai,Data Scientist,on_site,"Toronto, ON, Canada",2019-11-13T20:56:24.421Z,"

                    At integrate.ai, our mission is to build a future in which AI enriches people’s lives while creating better, more valuable businesses. Our AI-powered platform helps B2C enterprises become customer-centric, identifying what customers value in businesses and applying AI to guide customers to valuable experiences. We care about privacy and ethics, and are working to make Responsible AI a reality across consumer enterprise. We are proudly based in downtown Toronto, Canada at the center of an exciting AI ecosystem.

                    We are looking for a Data Scientist who is excited to play an integral part of a client facing team, who excels at uncovering concise business insights, and who can both deliver and communicate these insights effectively to external stakeholders. Responsibilities for this role range from data ingestion to collaborating with both internal and external stakeholders to build the platform in a way that best suits our client’s needs. This is a fascinating role that requires both strong interpersonal skills and deep technical knowledge.

                    What you will be doing:

                    @@ -107107,130 +114703,805 @@ c73f90b8-02e0-4728-859c-398617506ca3,191125318,BMO Financial Group,"Manager, Ris

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Risk-Reporting-and-Loss-Forecasting_R220022729?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-02-16T17:17:03.685Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/191125318-manager-risk-reporting-and-loss-forecasting-at-bmo-financial-group,,expired,2023-01-30T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -f4c5b43b-3ff7-4268-94b2-7a69a13bfb68,216107702,Sun Life Financial,Senior Business Intelligence Analyst,on_site,"Ontario, Canada",2023-04-17T17:41:03.234Z,"
                    -

                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                    +70ad236c-15c6-49cc-b787-0e3cda6735f1,189565749,RBC,"Manager, Data Analytics",on_site,"Toronto, ON, Canada",2023-01-23T17:16:03.392Z,"
                    +

                    Come Work with Us!

                    At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                    Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                    +

                    Job Title

                    Manager, Data Analytics

                    +

                    +

                    Job Description

                    +

                    What is the Opportunity?

                    +

                    +

                    The Data Analytics Manager will assist Internal Audit RBC US teams in the research, development, and delivery of strategic and analytics initiatives to achieve Audit objectives in alignment with Internal Audit’s transformation goals. These initiatives affect operations and audit execution across multiple geographies and/or across multiple business units/platforms.

                    +

                    +

                    What will you do?

                    +
                      +
                    • Responsible for supporting the performance and quality of analytics that will provide continuous improvements of the audits that have been planned for the respective platforms.
                    • +
                    • Support the business phases of the analytics lifecycle for the respective Internal Audit platform(s).
                    • +
                    • Responsible for assisting in internal and external research, stakeholder management, collaborative requirement gathering, and a user-centric approach that in combination ensure technical solutions are both valuable and readily adopted across Internal Audit.
                    • +
                    • Effectively collaborate closely with technical talent pools who transform proposed business cases into leading edge technological solutions.
                    • +
                    • Strategically recommend and apply existing technology to reduce duplication of efforts and ensure the Internal Audit platforms have the skills and capacity to use and understand the technology available across Internal Audit.
                    • +
                    • Responsible for researching and developing foundational analytics that support Internal Audit RBC US teams.
                    • +
                    • Create and maintain foundational data & analytics initiatives that provide continuous improvements of the audits that have been planned in the platform(s).
                    • +
                    • Support effective delivery of a pipeline of data analytics and automation initiatives that impact Audit execution activities globally across all regions and lines of business.
                    • +
                    • Support the prioritization of analytics based on areas of best return; deciding on accept/decline analytics and automation activities for the Lab to execute on; hosting regular cadence with lab stakeholders; ensuring analytics initiatives are tracked in central repository.
                    • +
                    • Acts as a peer to the Data Engineers and Data Scientists in the centralized Data Management & Analytics team (DMA).
                    • +
                    • Empowered to challenge and refine the value of analytics ideas as proposed by the auditors
                    • +
                    • Conduct research and identify opportunities for improving processes and technology: Externally, research best practices, emerging risks, and innovation across RBC and broadly throughout the financial sector. Internally, gather, understand, and analyse auditors’ pain points.
                    • +
                    • Size potential upside of deploying a solution across platforms, in line with your findings. In partnership with technical experts and other stakeholders, define and articulate ROI for your business cases for Executive Selection Committee approval.
                    • +
                    • Support technical builds and process reengineering aligned with business cases at every step of analytics lifecycle; engage auditors as needed and support user acceptance testing across your platforms.
                    • +
                    • Support the communication of ongoing work to broad Internal Audit audience and support creation of training materials and experiences for selected tools.
                    • +
                    • Support the adoption of centrally developed data products in the platform with support from the DMA team and global adoption of IA wide data initiatives.
                    • +
                    • Support technology use and reuse by having a thorough understanding of available and upcoming technology across the Internal Audit toolkit.
                    • +
                    • Assist in review of quarterly Audit plan for existing tool use to reduce duplication of efforts and to ensure technology provides expected return.
                    • +
                    • Support gathering and triage feedback for technical experts on an ongoing basis
                    • +
                    • Mentor team members - assist with individual capability building and certification, grow the skillsets /capabilities of the team, transfer skills/knowledge, and demonstrate awareness of linkages and political forces.
                    • +
                    • Develop and maintain strong working relationships with team members, process stakeholders, support groups, business partner teams, to ensure collaboration and cooperation to meet timing of projects.
                    • +
                    • Continually demonstrate commitment to and application of RBC Leadership Model Behaviors
                    • +
                    +

                    +

                    What do you need to succeed?

                    +
                      +
                    • Bachelor’s Degree; Masters or Advanced Degree preferred
                    • +
                    • Knowledge of financial industry regulatory guidelines
                    • +
                    • Proficient in auditing principles and techniques
                    • +
                    • Proficient written and oral communication skills
                    • +
                    • Proficient in project management
                    • +
                    • Good understanding of programming languages (Python, SQL, R)
                    • +
                    • Strong understanding and experience using data visualization tools
                    • +
                    • A strong understanding of Data Analytics to optimize use
                    • +
                    • Ability to learn new and emerging technologies
                    • +
                    • Ability to work in a dynamically changing environment.
                    • +
                    • Proven ability to produce, conduct, and report on internal and external research, including qualitative and quantitative metrics
                    • +
                    • Demonstrated ability to calculate ROI for projects of various complexity and scale
                    • +
                    • Working knowledge of Python, SQL, Data Visualization, UX/UI
                    • +
                    • Strong knowledge of Agile or other lean methodologies
                    • +
                    • Strong knowledge of design, development, and implementation experience utilizing data technologies
                    • +
                    • Proficient analytical and problem-solving skills
                    • +
                    • Strong data profiling, cleaning, and mining
                    • +
                    • Ability to perform complex data analysis on large volumes of data and present findings to stakeholders
                    • +
                    • Expert data extract, transform, and load processes with a variety of data types
                    • +
                    • 2+ years of experience with big data technologies – Hadoop (Pig, Hive), noSQL/SQL databases, parallel processing techniques and Apache Spark
                    • +
                    • Strong interpersonal and communication skills: Ability to explain complex Audit and Technological concepts to various stakeholders ranging from Specialists to Executives
                    • +
                    • Strong aptitude for Collaboration, Stakeholder Management and Relationship Management
                    • +
                    • Domain Knowledge and capacity to research and effectively understand innovative concepts, including but not limited to Emerging Financial Risk and Regulation, Artificial Intelligence, Big Data, UX/UI, and Data Visualization
                    • +
                    +

                    +

                    What’s in it for you?

                    +

                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                    +
                      +
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                    • +
                    • Leaders who support your development through coaching and managing opportunities
                    • +
                    • Ability to make a difference and lasting impact
                    • +
                    • Work in a dynamic, collaborative, progressive, and high-performing team
                    • +
                    • Opportunities to do challenging work
                    • +
                    • Opportunities to building close relationships with clients
                    • +
                    +

                    +

                    The good-faith expected salary range for the above position is $110,000 - $190,000 depending on factors including but not limited to the candidate’s experience, skills, registration status; market conditions; and business needs. This salary range does not include other elements of total compensation, including a discretionary bonus and benefits such as a 401(k) program with company-matching contributions; health, dental, vision, life and disability insurance; and paid time-off plan.

                    +

                    RBC’s compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that:

                    +
                      +
                    • Drives RBC’s high performance culture
                    • +
                    • Enables collective achievement of our strategic goals
                    • +
                    • Generates sustainable shareholder returns and above market shareholder value
                    • +
                    +

                    +

                    USAUDIT23

                    +

                    +

                    +

                    Job Summary

                    +

                    Address:

                    Jersey City, New Jersey, United States of America

                    City:

                    USA-NJ-JERSEY CITY

                    Country:

                    United States of America

                    Work hours/week:

                    40

                    Employment Type:

                    Full time

                    Platform:

                    Internal Audit

                    Job Type:

                    Regular

                    Pay Type:

                    Salaried

                    Posted Date:

                    2022-11-16-08:00

                    Application Deadline:

                    2023-01-16-08:00
                    +

                    Inclusion and Equal Opportunity Employment

                    +

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    +
                    +

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                    +
                    ",,https://jobs.rbc.com/ca/en/job/R-0000034713/Manager-Data-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-02-22T21:41:42.515Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/189565749-manager-data-analytics-at-rbc,,expired,2023-01-23T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +f8d4ddd0-e327-4e33-b896-39326a33f3dc,193133043,BMO Financial Group,"Senior Manager, Wholesale Credit Methodology",on_site,"Ontario, Canada",2023-02-05T17:12:02.052Z,"
                    +

                    Address:

                    302 Bay Street

                    +

                    +

                    Job Family Group:

                    Data Analytics & Reporting

                    +

                    +

                    If you’re looking for your next dream job, consider this one in BMO’s ERPM Risk group where every colleague helps protect and grow the bank by providing independent review and oversight of enterprise-wide risks, working together to maintain a risk management framework and fostering a strong risk culture. #ERPMDreamJobs

                    -

                    Job Description:

                    -

                    At Retail Advice and Solutions (RA&S) within Sun Life Canada, our vision is to help our clients achieve lifetime financial security and live healthier lives by providing tailored advice and solutions through their channel of choice.

                    +

                    +

                    +

                    Supports the research and development of quantitative risk modeling methodologies and related strategies in support of the management of risks arising from business/group portfolios and products. Applies knowledge of analytics algorithms and technologies to develop forward looking models and analytic solutions that ensure risks are properly identified, understood and risk related strategies are enabled. Summarizes statistical findings, draws business conclusions, and presents actionable business recommendations used in the management of risks and related activities e.g. associated internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations. Drives innovation through the development of data products that can be leveraged across the organization and establishes best practices as well influences data governance guidelines and policies. May specialize in one or more risk categories e.g. Credit Risk, Market Risk, Interest Rate Risk, etc.

                    +

                    Qualifications:

                    +
                      +
                    • Manages people and leads a team capable of delivering the desired business results.
                    • +
                    • Provides strategic input into business decisions as a trusted advisor.
                    • +
                    • Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group.
                    • +
                    • Acts as a subject matter expert on relevant regulations and policies.
                    • +
                    • May network with industry contacts to gain competitive insights and best practices.
                    • +
                    • Acts as a subject matter expert on relevant regulations and policies.
                    • +
                    • Oversees the development and delivery of tools and training reporting tools and self-serve analytics by non-analytical end users.
                    • +
                    • Influences and negotiates to achieve business objectives.
                    • +
                    • Identifies emerging issues and trends to inform decision-making.
                    • +
                    • Manages resources and leads the execution of strategic initiatives to deliver on business and financial goals.
                    • +
                    • Recommends business priorities, advises on resource requirements and develops roadmap for strategic execution.
                    • +
                    • Develops and manages comprehensive information management systems; designs and/or leads initiatives to improve processes, analysis and reporting.
                    • +
                    • Conducts independent analysis and assessment to resolve strategic issues.
                    • +
                    • Identifies emerging issues and trends to inform decision-making.
                    • +
                    • Acts as the prime subject matter expert for internal/external stakeholders.
                    • +
                    • Ensures alignment between stakeholders.
                    • +
                    • Builds effective relationships with internal/external stakeholders.
                    • +
                    • Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group.
                    • +
                    • Defines business requirements for analytics & reporting to ensure data insights inform business decision making.
                    • +
                    • Develops and applies the framework for databases; oversees database management in adherence with data governance standards.
                    • +
                    • Monitors and tracks performance, and addresses any issues.
                    • +
                    • Leads the execution of ad-hoc analytics and reporting solutions and cyclical programs; assesses and adapts as needed to ensure quality of execution (8,9).
                    • +
                    • Leads change management programs of varying scope and type, including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
                    • +
                    • Leads the development of the communication strategy focusing on positively influencing or changing behaviour.
                    • +
                    • Collaborates across BMO to develop communications strategies and ensure consistency of messaging, in order to positively influence or change behaviour.
                    • +
                    • Leads the execution of operational programs; assesses and adapts as needed to ensure quality of execution.
                    • +
                    • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • +
                    • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                    • +
                    • Works with stakeholders to identify the business requirements, understand the distinct problems, and the expected outcome and models and frames business scenarios which impact critical business processes and/or decisions.
                    • +
                    • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
                    • +
                    • Applies scripting/programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                    • +
                    • Develops agreed analytical solution by applying suitable statistical techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, artificial intelligence) to test, verify, refine hypotheses.
                    • +
                    • Summarizes statistical findings and draws conclusions and presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                    • +
                    • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                    • +
                    • Performs experimental design approaches to validate finding or test hypotheses.
                    • +
                    • Uses the appropriate algorithms to discover patterns.
                    • +
                    • Builds effective relationships with internal/external stakeholders. Ensures alignment between stakeholders.
                    • +
                    • Supports development of tools and delivers training for data and analytics.
                    • +
                    • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • +
                    • Leads/participates in the design, implementation and management of core business/group processes.
                    • +
                    • Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
                    • +
                    • Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
                    • +
                    • Implements changes in response to shifting trends.
                    • +
                    • Broader work or accountabilities may be assigned as needed.
                    • +
                    • Typically 7+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                    • +
                    • Data preparation, data analysis, and statistical tool sets including but not limited to, SAS, R, Python, SQL,MATLAB, SPSS.
                    • +
                    • Relevant experience in risk, capital, and/or treasury management is preferred.
                    • +
                    • A professional designation in Finance or Risk management is preferred.
                    • +
                    • Seasoned professional with a combination of education, experience and industry knowledge.
                    • +
                    • Verbal & written communication skills - In-depth / Expert.
                    • +
                    • Analytical and problem solving skills - In-depth / Expert.
                    • +
                    • Influence skills - In-depth / Expert.
                    • +
                    • Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.
                    • +
                    • Able to manage ambiguity.
                    • +
                    • Data driven decision making - In-depth / Expert.
                    • +
                    +

                    +

                    +

                    We’re here to help

                    -

                    The RA&S Advanced Analytics and Business Intelligence team is seeking a talented Senior Business Intelligence Analyst to support our ever-growing data and insights needs within the business unit. Reporting to the Director, Distribution Analytics, the Senior Analyst will support the business through providing data and insights solutions to our internal clients, developing innovative visual analytics solutions, and enabling faster and better decision making for Retail Advice and Solutions. Please note this is a 12-month contract position.

                    +

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    +

                    +

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    +

                    +

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    +

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    +

                    +

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Manager--Wholesale-Credit-Methodology_R220030869-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-02-23T17:17:02.432Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/193133043-senior-manager-wholesale-credit-methodology-at-bmo-financial-group,,expired,2023-02-05T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +156762ce-349e-4406-adcd-b51a76356ded,197102979,Scotiabank,Data Engineer Manager,on_site,Canada : Ontario : Mississauga || Canada : Ontario : North York,2023-02-16T17:22:02.635Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 173481

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    Purpose

                    +

                    Contributes to the overall success of Global Operations ensuring specific individual goals, plans and initiatives that are executed/delivered in support of the team’s business strategies and objectives. Responsible for supporting the end-to-end reporting lifecycle. This includes sourcing the requisite data, delivering sound data solutions to enable reporting and supporting the infrastructure and product portfolio. Ensures all development initiatives are executed and delivered with high quality and in compliance with Enterprise Security and Audit requirements

                    +

                    +

                    Accountabilities

                    +
                    • Champions a customer-focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                    • Designs and maintains scalable data architecture in SQL Server (on-premise and Azure) to support periodical integration, transformation, validation and analysis of financial/operational data sourced from diverse teams. Ensure data architecture is aligned with the Enterprise Technology and Data Roadmaps.
                    • Work in an Agile environment, be quick to adapt and understand dynamic business requirements and be able to work with tight timelines. Proactively supports data-based decision-making across operational functions by identifying analytical prospects in operational/financial data.
                    • Identify opportunities to automate processes/tasks that are manual and repetitive in nature, within the existing business process or operational process.
                    • Follow iterative development principles to design, code, test, implement and support data and analytics solutions using industry best practices. Apply a consistent strategy to profile and model the data, setting a solid foundation for dashboards and ad hoc reporting.
                    • Support product vision, scope and objectives based on a thorough understanding of the Business goals and requirements. Partner with source system owners across the Enterprise to acquire the necessary data to satisfy business objectives by creating data contracts and data dictionaries.
                    • Skilled in XML, CSharp, Java, ASP.NET, MVC development. Responsible for developing and maintaining routines and developing UI design to load, access and extract data in Microsoft SQL Server Environment.
                    • Provide sound data mining techniques and analytical methodologies to provide fact-based analysis to support data initiatives and improve business processes. Leverage agility and creativity to maximize value and insight delivered by data analysis.
                    • Proactively recommend and execute strategies to improve methodology, operational efficiency and effectiveness, and quality of deliverables. Continually identify, propose, and assist in the integration and adoption of new technologies and methodologies as appropriate.
                    • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions. Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                    • +
                    +

                    +

                    Dimensions

                    +
                    • Proficient in XML, Java, CSharp and ASP.NET application development
                    • Data visualizations for Power BI reporting
                    • All business units in Global Operations
                    • Number of projects: ongoing operational reporting initiatives for the Retail and Business Banking Operations, Contact Centre, Collections and Corporate Services
                    • +
                    +

                    +

                    Qualifications

                    +
                    • University degree in Engineering, Computer Science, Analytics, Mathematics or related fields is required
                    • 5+ years of practical experience is an asset
                    • Advanced knowledge of Business Intelligence solutions, database design, data mining, profiling, and modelling techniques. Solid experience with SQL Server 2012/2016/2017, ETL, SSRS, SSAS, MDX, XML, Java, C# and ASP.NET, Unified Dimensional/Relational modelling
                    • Experience integrating with Hadoop and working with Big Data technologies; Microsoft Visual Studio & Team Foundation Server is an asset
                    • Experience with data visualization tools (Power BI) is required
                    • +
                    +

                    +

                    +

                    +

                    Location(s): Canada : Ontario : Mississauga || Canada : Ontario : North York

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Mississauga-Data-Engineer-Manager-ON-M3C0N5/567753417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-23T17:27:05.483Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/197102979-data-engineer-manager-at-scotiabank,https://jobs.scotiabank.com/job/Mississauga-Data-Engineer-Manager-ON-M3C0N5/567753417/,expired,2023-02-16T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +e48bddf1-7965-4504-9495-be4dfb139252,193454532,RBC,Fixed Income Analytics Associate,on_site,"Toronto, ON, Canada",2023-02-06T17:16:02.127Z,"
                    +

                    Come Work with Us!

                    At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                    Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                    +

                    Job Title

                    Fixed Income Analytics Associate

                    +

                    +

                    Job Description

                    +

                    What is the opportunity?

                    +

                    The Fixed Income Analytics Associate will actively engage in market making activity in assigned asset classes. This individual will provide Fixed Income system and technical support to all Fixed Income professionals. Provide business analysis, subject matter expertise, and application support for internally developed Fixed Income IT projects and externally developed vendor applications. Develop, enhance, and maintain tools and reporting capabilities. Assist with management/compliance reviews.

                    What will you do?

                      -
                    • Build out comprehensive business intelligence and reporting for the RA&S leadership and sales team, which meet the needs of varying audiences and promote the desire to drive action and sales

                    • -
                    • Provide plans and estimates for reporting initiatives

                    • -
                    • Maintain standards for analysis and reporting at all levels including best practice data visualization techniques

                    • -
                    • Turn complex data into easy-to-understand visual insights that are aligned to business objectives

                    • -
                    • Enable visual storytelling through Tableau and visual analytics tools

                    • -
                    • Ensure that business and technical requirements are captured and maintained through proper documentation

                    • -
                    • Put together effective presentations to communicate findings and actionable insights for the team

                    • +
                    • Assist with management/compliance report reviews.

                    • +
                    • Design, develop, and execute various trading strategies and implement new tools to satisfy business needs.

                    • +
                    • The incumbent is expected to be fully conversant and knowledgeable of market conditions and industry changes.

                    • +
                    • Build strong relationships with other internal trading desks and complement their trading activity.

                    • +
                    • Provide ongoing maintenance and enhancements of existing tools and reports.

                    • +
                    • Identify, develop, and maintain new and existing reporting capabilities to support and grow the business.

                    • +
                    • Work with internal RBC partners and external vendors to implement new products & services to the RBC Fixed Income platform.

                    • +
                    • Support vendor applications including Tradeweb Direct, Bloomberg, TMC, ICE BondPoint, Lumesis, DPC Data, CreditSights and others.

                    • +
                    • Identify and prioritize system enhancements, document business requirements, test, communicate, and train users as required.

                    • +
                    • Assess, research, analyze, document, and resolve issues and system defects. Communicate updates and resolution to users.

                    • +
                    • Plan, prepare, and lead the execution of UAT test cases.

                    • +
                    • Serve as Fixed Income subject matter expert on enterprise projects. Assist with analysis, business requirements, and testing.

                    • +
                    • Recommend technology solutions that satisfy business needs. Continually explore and assess options for technology solutions that meet business needs.

                    • +
                    • Represent Fixed Income within enterprise supplier management process. Complete or assist others in the completion of ongoing supplier management documentation.

                    • +
                    • Support daily activity of fixed income professionals by answering questions, provide training, resolve computer issues, troubleshoot and document system issues, communicate system changes and enhancements, and create & maintain documentation.

                    • +
                    • Run scheduled and ad-hoc reports.

                    -

                    What will you need to succeed?

                    +

                    What do you need to succeed?

                    +

                    Must-have

                      -
                    • Degree in computer science, statistics, mathematics, engineering, or equivalent

                    • -
                    • 5+ years\' experience in data analytics and business intelligence with a demonstrated ability to create dashboards and stories in Tableau

                    • -
                    • Strong proficiency in SQL coding to query and analyze data

                    • -
                    • Experience in using data analysis tools such as Microsoft SQL server, SAS EG or similar

                    • -
                    • Visual design expertise with a solid understanding of the best practices around dashboards and visual perception

                    • -
                    • Experience in working in an agile development environment including rapid prototyping during sprints

                    • +
                    • Bachelor’s Degree is required, preferably with a concentration in Business, Finance, Economics, or Computer Science

                    • +
                    • Series 7 and 63 or ability to obtain within 6 months of employment

                    -

                    What will be nice to have?

                    +

                    Nice-to-have

                      -
                    • Experience in life insurance, wealth management, or other financial services industry enterprises

                    • -
                    • Experience in implementing data and analytics capabilities within an enterprise

                    • +
                    • Ability to comprehend industry regulations as they apply to the fixed income business.

                    • +
                    • Experience with Microsoft Excel, Access, SQL Server, VBA, Python

                    • +
                    • Strong SQL writing skills

                    • +
                    • Ability to work in a fast paced, pressured environment with time deadlines

                    • +
                    • Strong interpersonal and written communication skills with ability to establish and maintain relationships at all organizational levels

                    -

                    What’s in it for you?

                    +

                    What’s in it for you?

                    +

                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                      -
                    • Great Place to Work® Certified in Canada and the US - 2022

                    • -
                    • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                    • -
                    • Named “Best Places to Work” by Glassdoor - 2021

                    • -
                    • Canada Award for Excellence for Mental Health at Work - 2021

                    • -
                    • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience

                    • +
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

                    • +
                    • Leaders who support your development through coaching and managing opportunities

                    • +
                    • Ability to make a difference and lasting impact

                    • +
                    • Work in a dynamic, collaborative, progressive, and high-performing team

                    • +
                    • Flexible work/life balance options

                    • +
                    • Opportunities to do challenging work

                    • +
                    • Opportunities to take on progressively greater accountabilities

                    • +
                    • Access to a variety of job opportunities across business

                    -

                    The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                    -

                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                    +

                    Job Summary

                    +

                    Address:

                    Minneapolis, Minnesota, United States of America

                    City:

                    USA-MN-MINNEAPOLIS

                    Country:

                    United States of America

                    Work hours/week:

                    40

                    Employment Type:

                    Full time

                    Platform:

                    Wealth Management

                    Job Type:

                    Regular

                    Pay Type:

                    Salaried

                    Posted Date:

                    2023-02-02-08:00

                    Application Deadline:

                    2023-02-24-08:00
                    +

                    Inclusion and Equal Opportunity Employment

                    +

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    +
                    +

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                    +
                    ",,https://jobs.rbc.com/ca/en/job/R-0000047207/Fixed-Income-Analytics-Associate,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-02-24T17:38:00.000Z,False,0,9,21,https://talenthub.vectorinstitute.ai/jobs/193454532-fixed-income-analytics-associate-at-rbc,,expired,2023-02-06T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +510e96c5-a0cc-4fad-9491-8fab7fe400fd,196076539,BMO Financial Group,"Analyst, Business Analytics & Reporting - Summer 2023 (Co-op/Internship) - 4 Months",on_site,"Ontario, Canada",2023-02-13T17:12:02.234Z,"
                    +

                    Address:

                    33 Dundas Street West

                    +

                    +

                    Job Family Group:

                    Data Analytics & Reporting

                    +

                    +
                    As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.
                    +

                    -

                    Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                    +

                    Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO First Friend peer assignment, BMO Social Squad student-led activities, BMO U corporate learning platform and access to various Employee Resource Groups to further develop your network within BMO.

                    -

                    At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                    +

                    Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Twitter @BMOonCampus & Instagram @BMO_on_Campus.

                    -

                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                    +

                    Please ensure you upload your resume, cover letter and transcript in the ‘Upload a file’ section prior to submitting your application.

                    -

                    Salary Range:

                    74,100/74 100 - 120,800/120 800

                    -

                    Job Category:

                    Advanced Analytics

                    -

                    Posting End Date:

                    27/04/2023
                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Business-Intelligence-Analyst_JR00078720?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-04-28T06:15:00.000Z,False,0,2,13,https://talenthub.vectorinstitute.ai/jobs/216107702-senior-business-intelligence-analyst-at-sun-life-financial,,expired,2023-04-17T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -1bb45438-84ae-4184-a6d5-363a5f78d11b,213972960,Scotiabank,"Manager Credit Risk - Automotive Portfolio MIS, Insights and Analytics",on_site,Canada : Ontario : Toronto,2023-04-10T17:22:06.120Z,"

                    -

                    -

                    -

                    -

                    Requisition ID: 175543

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    -

                    Purpose of Job:

                    -

                    -

                    The Manager, Portfolio Insights, SDA Risk, GRM will monitor key risk performance of the Retail Automotive portfolio, and contribute to the
                    development and enhancement of business intelligence tools and provide insights to the Automotive Risk teams as well as product and
                    business line partners.

                    -


                    The role is highly technical and requires expert SAS, data analytics and BI tools knowledge, as well as ability to optimize and maximize
                    efficiency of existing processes. The incumbent will deliver judicious analysis to senior management while working with multiple stakeholders
                    and partners to facilitate development of Risk-Reward opportunities. He/She will develop optimal analytical methodologies to assess the growth
                    opportunities, and monitor results.

                    -

                    -

                    Job Responsibilities:

                    -

                    -

                    Accountability 1: Automotive Credit Risk Portfolio Tracking

                    -


                    • Use a variety of Business Intelligence analytical and reporting tools (ex. SAS, Python, Tableau) to provide dynamic reporting on key
                    performance metrics to various stakeholders in GRM and business lines. Lead new report creation and look for opportunities to optimize
                    workstream.
                    • Provide actionable insights and meaningful messages from the reporting to drive credit risk decisions. Able to tell a story by synthesizing
                    vast amounts of data into coherent messages.
                    • Proactively provide judicious analysis that will assist in optimizing risk rewards ratios and grow the portfolios
                    • Collaborate with Strategy and Policy teams to provide measurement and reporting on judicious initiatives such as acquisition dynamics
                    and quality, line optimization and collections effectiveness
                    • Analyze strategy effectiveness , leverage champion/challenger capabilities to confirm assumptions and recommend changes, identify if
                    any credit risks are or will become in excess of the risk appetite framework and make recommendations on how to reduce impact.

                    -

                    -

                    Accountability 2: Customer Focus

                    -


                    • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                    • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

                    +

                    Please note: Only students currently enrolled in an academic program and returning to their studies will be considered for our Co-op/Internship opportunities. Student who recently graduated are invited to apply to our New Grad opportunities which are available at: https://jobs.bmo.com/ca/en/new-grad

                    +
                    +

                    +

                    +

                    Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                    +
                      +
                    • Designs, develops, and implements innovative analytical solutions.
                    • +
                    • Designs and produces regular and ad-hoc reports, and dashboards.
                    • +
                    • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                    • +
                    • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • +
                    • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                    • +
                    • Analyzes data and information to provide subject-matter insights and recommendations.
                    • +
                    • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                    • +
                    • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                    • +
                    • Builds effective relationships with internal/external stakeholders.
                    • +
                    • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                    • +
                    • Completes complex & diverse tasks within given rules/limits and may include handling escalations from other employees.
                    • +
                    • Analyzes issues and determines next steps.
                    • +
                    • Broader work or accountabilities may be assigned as needed.

                      Qualifications:

                      +
                    • +
                    • Typically between 2 – 3 years of relevant experience and post-secondary degree in related field of study desirable or an equivalent combination of education and experience.
                    • +
                    • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Good.
                    • +
                    • Specialized knowledge.
                    • +
                    • Verbal & written communication skills - Good.
                    • +
                    • Organization skills - Good.
                    • +
                    • Collaboration & team skills - Good.
                    • +
                    • Analytical and problem solving skills - Good.
                    • +
                    +

                    +

                    +

                    We’re here to help

                    +

                    +

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    +

                    +

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    +

                    +

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    +

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    +

                    +

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Analyst--Business-Analytics---Reporting---Summer-2023--Co-op-Internship----4-Months_R230002893?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa&company=99ba898c88ac011c8a873c01f2016c06,feed-importer@jobboard.io,https://jobs.bmo.com/ca/en,,,2023-02-24T17:39:00.000Z,False,0,4,23,https://talenthub.vectorinstitute.ai/jobs/196076539-analyst-business-analytics-reporting-summer-2023-co-op-internship-4-months-at-bmo-financial-group,,expired,2023-02-13T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +9794f78d-f3f3-46a6-9bcc-85771459469a,154466930,Borealis AI,Machine Learning Researcher - Causality,on_site,"Ontario, Canada",2022-10-02T01:59:18.613Z,"
                    +
                    +
                    +

                    What\'s the opportunity?

                    +

                    As a Researcher in machine learning and causal inference, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We’re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                    +

                    Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                    +

                    Your responsibilities include:

                    +
                      +
                    • Developing novel AI solutions that facilitate impactful products;
                    • +
                    • Conducting original, publishable research by advancing the state-of-the-art in machine learning and causal inference;
                    • +
                    • Working with the development team to transfer research work into production;
                    • +
                    • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                    • +
                    • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                    • +
                    +

                    You’re our ideal candidate if you have:

                    +
                      +
                    • Experience in researching or applying causal inference;
                    • +
                    • A passion for solving open problems using data and algorithms;
                    • +
                    • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                    • +
                    • Ability to formulate and drive a research project independently without close supervision;
                    • +
                    • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                    • +
                    +

                    What’s in it for you?

                    +
                      +
                    • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                    • +
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                    • +
                    • Leaders who support your development through coaching and managing opportunities;
                    • +
                    • Ability to make a difference and lasting impact from a local-to-global scale.
                    • +
                    +

                    About Borealis AI

                    +

                    Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                    +

                    Inclusion and Equal Opportunity Employment

                    +

                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                    +
                    +
                    +
                    +
                    +
                    +
                    +
                    +
                    ",,https://www.borealisai.com/careers/?gh_jid=5689077002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-11-02T13:16:42.626Z,False,0,6,75,https://talenthub.vectorinstitute.ai/jobs/154466930-machine-learning-researcher-causality-at-borealis-ai,,expired,2022-10-02T01:59:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Entry Level,PhD,New Posting, +4bb70702-a714-4407-b25e-faa9b85a4cf1,158119781,Roche,Data Scientist,on_site,"Mississauga, ON, Canada",2022-10-20T15:03:23.548Z,"

                    The Position

                    +

                    Role: Data Scientist

                    +

                    Type: FTE

                    +

                    +

                    Roche Data Scientists are essential leaders in driving and implementing a broad range of quantitative drug development strategies; they bring data to life and enable the organization to make the best possible data-driven decisions.

                    +


                    As a Data Scientist at Roche Pharma, you’ll actively shape the future of healthcare as a member of Data and Statistical Sciences (DSS) within Product Development (PD) and PD Data Sciences (PDD). You will be responsible for the strategic and analytical activities of the molecules and devices in our
                    pipeline on a level matching your seniority.

                    +


                    DSS activities span multiple therapeutic areas, a wide range of data types, and collaborations with a variety of experts, all with the goal to develop innovative healthcare solutions for patients and society.

                    +


                    Your responsibilities in support of our PDD products may include a wide variety of contributions: partnering with key stakeholders, working on the molecule portfolio, supporting specialized business areas, or contributing to key initiatives that shape our technical, business and healthcare environments. You may be a work product owner and leader, quantitative expert on a project team, or driver of key internal or external relationships.

                    +

                    - Delivers data analysis products such as data tabulations, analysis datasets, statistical tables/listings/figures, and interactive applications related to clinical trial data and analysis
                    - Supports study results reporting by producing these deliverables in collaboration with internal and external colleagues
                    - Provides analytical and programming expertise, and contributes to the production of programming packages and functions that can be used across studies and molecule programs
                    - Supports regulatory submissions to health authorities and contributes to data standardization in order to maximize reusability

                    +

                    +

                    Key Accountabilities

                    +

                    Data Sciences Leadership

                    +

                    - Accountable for the development and implementation of Data Sciences products.
                    - Lead and/ or support multiple elements of the drug development process across various phases of clinical trials.
                    - Lead and/ or support regular review of opportunities to simplify and innovate, and collaborate with experts in DSS, PDD and beyond to accelerate and deliver patient benefits faster.
                    - Lead and/ or support prioritization efforts, demonstrating urgency and taking smart risks to make considered decisions in a fast-paced, evolving environment.

                    +


                    Drug Development Strategy and Execution

                    +

                    - Lead or contribute technical expertise to multiple elements of the business, including: strategic planning; communication; and implementation.
                    - Support and/or represent DSS and PDD across multiple functions of the Roche global organization, which may include; Pharma Research and Early Development (pRED); Genentech Research and Early Development (gRED); PD; Market Access, Global Product Strategy (GPS); and Pharma Technical (PT).
                    - Purposefully collaborate and influence to support PDD to be at the forefront of our industry for Data Sciences.
                    - Collaborate with Global Health Authorities to support our product pipeline.
                    - Build strong partnerships and opportunities to collaborate and innovate with varying stakeholders across the Roche global organization in support of Roche products, programs, processes, systems, and/or compliance.

                    +


                    Career Development

                    +

                    - Continuously look for opportunities to broaden knowledge, capabilities and skill set to enable talent to flow into different Specialties and Disease Areas.
                    - Role model knowledge sharing within DSS, PDD, and beyond.
                    - Act as a coach, mentor, or buddy to help colleagues grow and develop.

                    +


                    Technical Accountability

                    +

                    - Contribute technical, therapeutic and business expertise within and external to DSS and PDD, which may include: Research and Development products; Drug development and clinical trial products; Current and new technologies; Working with external data and external organizations; Global Health Authority requirements; Data Sciences industry landscape; Statistical methods and techniques; Analytical strategies; Programming languages; Software development; Data standards; Therapeutic area expertise; Outsourcing expertise; Findable,
                    Accessible, Interoperable, and Reusable (FAIR) Data Principles; Data Citizenship; Data Privacy; Best practices; and Process improvements, etc.
                    - Explore ways of modernizing insight generation through new innovative tools and technology.
                    - Build expertise in novel data types, statistical methods, programming languages, and analytical methodology, which may include advanced analytics, special trial designs and types, and data handling methods.
                    - Demonstrate a good level of system awareness.

                    +


                    Qualifications

                    +

                    Additional educational and technical qualifications may be added based upon the Specialty being recruited.
                    - College/University degree – bachelor degree or higher or equivalent education in scientific, medical or relevant technical discipline.
                    - Experience in the pharmaceutical/biotech industry is preferred.
                    - Understanding of the end-to-end drug development lifecycle, particularly as relevant to the Specialty of interest.
                    - Track record of establishing successful internal partnerships and collaborations.
                    - Influential and confident communicator
                    - Demonstrates experience or is adaptable to utilizing and/or models modern ways of working consistent with an agile and growth mindset, and agile behaviors and methodologies.
                    - Fluency in written and spoken English
                    - Ability to work across multiple cultures and countries
                    - Knowledge of GCP, international regulations, guidelines and their application, and all other applicable compliance standards is a plus
                    - Willingness to travel as required

                    +

                    +

                    Who we are

                    +

                    At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

                    +

                    +

                    Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche's truly innovative culture.

                    +

                    +

                    As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

                    +

                    +

                    Roche is an Equal Opportunity Employer.

                    ",,https://careers.roche.com/global/en/job/ROCHGLOBAL202210137621EXTERNALENGLOBAL/Data-Scientist,aitalent@vectorinsitute.ai,https://www.roche.com/careers.htm,,,2022-11-03T15:03:00.000Z,False,0,12,57,https://talenthub.vectorinstitute.ai/jobs/158119781-data-scientist-at-roche,,expired,2022-10-18T15:03:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Associate,Masters Degree,New Posting, +18ec7284-30be-4878-9332-81e1ea594661,158154091,CIBC,"Analyst, Data Management and Analytics Enablement",on_site,"Ontario, Canada",2022-10-20T16:57:24.685Z,"
                    +

                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                    +

                    +

                    At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                    +

                    +

                    To learn more about CIBC, please visit CIBC.com

                    +

                    +

                    Job Description

                    +

                    +

                    What you’ll be doing

                    +

                    +

                    As an Analyst, Data Management and Analytics Enablement, you will be joining the Internal Audit department and the Data Analytics (DA) team, reporting to the Director, Data Management and Analytics Enablement. You will be responsible for making complex data more accessible, understandable and usable to our users, as well as creating tools that can help simplify and automate our processes. Incorporating design thinking, process design and user experience techniques to create intuitive dashboards for our users for insights and analytics

                    +

                    +

                    At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 2-3 days per week on-site, while other days will be remote.

                    +

                    +

                    How you’ll succeed

                    +
                      +
                    • Curious and Creative – we are looking for someone who is curious and creative, someone who is innovative and likes to try new concepts, as well as interpret themes and insights, and design an experience that makes complex insights more intuitive

                    • +
                    • Project Management and Process Design Skills – Our team constantly looks for ways to optimize and streamline processes to enhance efficiencies. A good understanding in User Interface and User Experience (UI/UX) design is preferred

                    • +
                    • Technical / Data Modelling Skills – prior experience in finding meaningful insights and design intuitive visualizations is beneficial. A background in web app design, data design, as well as DEV & UAT testing will be an asset

                    • +
                    • Data Management – Assist the director and the analytics team to source and manage new data sources for projects and ongoing audit engagements

                    • +
                    • Stay Current with Best Practices – our team constantly looks for ways to improve user experience and insights consumption, staying up to date with industry best practices in storytelling/data visualization, user experience, machine learning and big data analytics

                    • +
                    • Stay Current with Internal Audit – actively identify current and emerging trends, themes and topics in Internal audit analytics

                    • +
                    +

                    +

                    Who you are

                    +
                      +
                    • You can demonstrate experience in: data management, UI/UX and dashboard design. Experience in PHP, Django, Python, HTML5, CSS, JavaScript, SQL, Alteryx, Hadoop (Cloudera)

                    • +
                    • You have a degree/diploma in Computer Science, Engineering, and/or a related field of study. It’s an asset if you have a background in graphical design

                    • +
                    • You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do

                    • +
                    • You act like an owner. You thrive when you\'re empowered to take the lead, go above and beyond, and deliver results

                    • +
                    • You\'re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends

                    • +
                    +

                    +

                    What CIBC offers

                    +

                    At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                    +
                      +
                    • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                    • +
                    • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                    • +
                    • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                    • +
                    +

                    +

                    What you need to know

                    +
                      +
                    • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                    • +
                    • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                    • +
                    +

                    +

                    +

                    +

                    +

                    +

                    Job Location

                    Toronto-81 Bay, 34th Floor

                    Employment Type

                    Regular

                    +

                    Weekly Hours

                    37.5

                    Skills

                    +

                    Data Management, Django, JavaScript, MySQL, Python (Programming Language), Web Application Development
                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Analyst--Data-Management-and-Analytics-Enablement_2239047,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-11-03T15:20:00.000Z,False,0,3,23,https://talenthub.vectorinstitute.ai/jobs/158154091-analyst-data-management-and-analytics-enablement-at-cibc,,expired,2022-10-20T16:57:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, +7f2b49da-6b62-4993-a154-60d73d6649c9,154838029,TD Bank Group,"Manager, Analytics & Insights",on_site,"Toronto, ON",2022-10-04T01:51:06.452Z,"
                    +

                    Company Overview

                    +
                    +

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    +

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    +
                    +

                    +

                    Department Overview

                    +
                    +

                    What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                    +

                    We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                    +
                    +

                    +

                    Job Description

                    +
                    +

                    +

                    About this Role

                    +

                    You’ll manage a group of diverse, inclusive and collaborative Business Insights & Analytics Specialists, taking an integrated approach as you build relationships with business owners and internal partners in TD. With your deep knowledge of the business world, its organizational makeup and practices, you’ll develop key insights to address their rapidly growing data and information needs, business objectives and opportunities for improvement. Your team will be integral in the delivery of ongoing analytics projects as well as comprehensive ongoing support. Most importantly, your leadership inspires leadership in others, as well as the drive to execute with speed and precision and help bring TD into the future of business.

                    +

                    We are looking for someone to lead and cultivate a sizeable team of Business Insights & Analytics professionals/specialists.

                    +

                    +

                    As the Manager, Analytics & Insights you will:

                    +
                      +
                    • Lead and manage a sizeable team of Analyst professionals and overall operation of a diverse group in an area of moderate risk, complexity or scope
                    • +
                    • Ensure an integrated approach with other business management areas, broader organization, and enterprise as appropriate
                    • +
                    • Deep knowledge and understanding of businesses /technology, and organizational practices/disciplines
                    • +
                    • Sound to advanced knowledge of external competition, industry and/or market trends in relation to own function/business
                    • +
                    • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                    • +
                    • Manage raised client issues or priorities and contact appropriate areas to resolve or minimize business problems/issues
                    • +
                    • Apply judgement, discretion and collaborate with internal partners to navigate and resolve ambiguous issues
                    • +
                    • Oversee and lead a large and/or highly complex, and diverse reporting function for an area of significant risk, complexity or scope
                    • +
                    • Review and/or build the presentation of insights back to executive leaders/business partners to drive strategic improvement
                    • +
                    • Collaborate with business partners to shape and prioritize ad hoc analysis
                    • +
                    • Set operational team direction, working in partnership to execute on common goals
                    • +
                    • Use data systems and various sources to ensure team is equipped to formulate well-defined solutions to solve business problems
                    • +
                    • Ensure team uses knowledge of data capabilities across the organization to build and deliver on business analytics and insights
                    • +
                    • Oversee the development and ongoing analysis for a business line or functional area employing both internal and external data from various sources
                    • +
                    • Manage workload of analytics team; assigning data request to staff based on skills and development needs
                    • +
                    • Support execution with excellence on key initiatives/programs
                    • +
                    • Design effective test and learn for various programs or scenarios
                    • +
                    • Develop analytic solutions to support insight generation that align to strategy and drive shareholder value
                    • +
                    • Lead large complex analytics projects to identify opportunities to further optimize our current product suite through self-initiated insights
                    • +
                    • Present insights back to executive leaders / business partners to drive strategic improvement
                    • +
                    +
                    +

                    +

                    Requirements

                    +
                    +What can you bring to TD?

                    +

                    Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    +
                      +
                    • Undergraduate degree or technical certificate
                    • +
                    • Seven (7) or more years relevant experience
                    • +
                    +
                    +

                    +

                    Hours

                    +
                    37.5
                    +

                    +

                    Inclusiveness

                    +

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    +

                    +
                    ",,https://jobs.td.com/en-CA/jobs/16838234/manager-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-11-03T14:54:00.000Z,False,0,1,22,https://talenthub.vectorinstitute.ai/jobs/154838029-manager-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16838234/manager-analytics-insights-toronto-ca/,expired,2022-10-04T01:51:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +d7a264e8-c99e-4688-9e0e-36e5459ea5f9,155399458,Scotiabank,Principal Data Engineer - CID&A,on_site,Canada : Ontario : Toronto,2022-10-06T20:20:26.374Z,"

                    -

                    Accountability 3: Innovation

                    -


                    • Explore opportunities for using latest innovative analytics and Business Intelligence tools to display portfolio dynamics, derive
                    insights and streamline processes
                    • Aim to move from descriptive to prescriptive analytics by focusing on key drivers of portfolio risk and profitability

                    -

                    Accountability 4: Risk Appetite Framework alignment

                    -


                    • Ensure all business line judicious priorities (i.e. life-cycle strategies, early warning triggers, provisioning, etc.) are consistent with Risk
                    Appetite Framework. Recommend changes to business line strategies to ensure the Bank does not take on more credit risk than
                    planned.
                    • Actively pursue effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and
                    effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF
                    risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory
                    Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

                    -

                    Job Requirements:

                    +

                    Requisition ID: 164451

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -
                    • Bachelor's or Graduate Degree in Math, Engineering, Computer Science, Marketing, Economics or Statistics
                    • 3+ years analytical experience required
                    • Must be proficient with MS Office, SAS, SQL, Python, Power BI, Tableau
                    • Strong communication skills essential with clients and management
                    • Strong prioritizing, planning, analytical, presentation, project management, people management and relationship building skills
                    • Must have 1 year of experience working Retail Credit Risk or working with Retail Products
                    • -
                    +

                    Purpose:

                    +


                    The CIDA team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is produced, consumed, and managed at an enterprise level to drive business value. The aim is to provide a truly productized offering of re-usable data that can be delivered iteratively through a streamlined process and framework in order to meet the velocity that will allow data consumers to focus on delivering business value. We are looking to build our delivery team with influencers, makers, creators and industry leaders who will drive us forward.

                    +


                    The role of the Principal Data Engineer operates within the Data Engineering & Delivery team. This valuable member of the team will be responsible for creating scalable automated systems for re-usable data assets, pipelines and services for the broad enterprise use. This role is focused on creating transformative change in how our organization interacts with data.

                    +


                    We are looking for someone who will work closely with other software engineers, data engineers, data architects, technology leads, analytics teams, infrastructure teams and other development/engineering teams in the bank to design and develop the technical solutions for enterprise data capabilities.

                    +


                    Key Accountabilities:

                    +


                    • Lead a high-functioning Product Engineering Team!
                    • Design, manage, and maintain data services and platforms to enable enterprise-wide use of data
                    • Be an evangelist and drive adoption of data services and automation tools
                    • Work closely with partner teams in Analytics, IT, various lines of business to create reusable assets that drive real business outcomes
                    • Participate in design discussions focused on scalability and design and implementation best practices.
                    • Work with other lead engineers and architects on breaking-down, scoping, and estimating tasks.
                    • Participate in planning and retrospective sessions, attend stand-ups, etc.
                    • Provide mentorship, peer review, and code review on data services & DevOps practices.
                    • Lead one or more products/services and define functions or features for data platforms.
                    • Support and maintain a successful product

                    +


                    Functional Competencies:

                    +


                    • 5+ years of experience in building and delivering scalable, enterprise-level software solutions
                    • 5+ years of software development and infrastructure experience, using a variety of object-oriented programming languages (e.g. Scala, Java, Python)
                    • 3+ years of experience leading and managing software development teams
                    • Proven experience designing service and microservice based architectures
                    • Strong knowledge and understanding of container and micro-services technologies (Docker, Kubernetes, APIM); domain expertise in data platform
                    • Functional experience developing applications using Cloud technologies (e.g. Google Cloud)
                    • Proven experience working with big data technologies (e.g. Spark, Airflow, MinIO, Rancher)
                    • Proven experience working with relational databases (DB2, MySQL, PostgreSQL).
                    • Strong Understanding of CI/CD (Jenkins, Git, Bitbucket, other).
                    • Experience working with traditional data warehousing / ETL tools (Talend, Informatica, DataStage, other).
                    • Experience in software engineering best practices such as code reviews, testing frameworks, maintainability and readability
                    • Knowledge and understanding of analytics & data science life cycle
                    • Experience in Agile/Product/Architecture.
                    • Experience in Cloud Data Solutions would be an asset
                    • Ability to solve ambiguous and typically novel problems that require the effort of several engineers and organizational alignment
                    • Experience in technical leadership of medium to large sized technical teams in delivering production solutions.
                    • Strong communication skills, both written and spoken
                    • Attention to details, high standards for quality.
                    • Desire to learn, grow yourself and your team.
                    • Passion for driving teams towards high performance and a deep pride in quality craftsmanship that delights users.
                    • Writing and maintaining related documentation.
                    • Ability to be an effective influencer on technology direction / an effective evangelist.
                    • Helps recruit + groom technology leaders and future leaders.

                    -

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Manager-Credit-Risk-Automotive-Portfolio-MIS%2C-Insights-and-Analytics-ON-M5H1B6/568728117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-27T17:27:02.977Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/213972960-manager-credit-risk-automotive-portfolio-mis-insights-and-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager-Credit-Risk-Automotive-Portfolio-MIS%2C-Insights-and-Analytics-ON-M5H1B6/568728117/,expired,2023-04-10T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -04e4dbd1-918d-4697-a7ab-fc8a2e361d9c,210220480,Scotiabank,"Senior Technical Business Analyst, Capital Markets Technology",on_site,Canada : Ontario : Toronto,2023-03-30T17:22:02.399Z,"

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Principal-Data-Engineer-9-ON-M5C2V9/563950917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-11-10T13:50:06.667Z,False,0,1,19,https://talenthub.vectorinstitute.ai/jobs/155399458-principal-data-engineer-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Principal-Data-Engineer-9-ON-M5C2V9/563950917/,expired,2022-10-06T20:20:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +50330d74-71c4-4f24-b213-6415b1b6aecd,155441653,Deloitte,"Data Engineer - GCP, Omnia AI",on_site,"Multiple Locations, Ontario, Canada",2022-10-07T02:46:05.566Z,"

                    +
                    +

                    Job Type: Permanent
                    Primary Location: Multiple Locations, Ontario, Canada
                    All Available Locations: Vancouver, BC; Montreal, QC; Ottawa, ON; Toronto, ON

                    +

                    Learn from deep subject matter experts through mentoring and on the job coaching
                    Partner with clients to solve their most complex problems
                    Be empowered to lead and have impact with clients, our communities and in the office.

                    +
                    +
                    +
                    +

                    +

                    You love to wrestle down data puzzles, you embrace the potential that data represents, you aspire to solve data problems no one else can, and above all, you want to use data to make impacts that matter – if that is you, then Omnia AI is where you want to be.

                    +
                    +
                    +

                    What will your typical day look like?

                    +

                    +

                    As a Data Engineer on our Data Modernization & Analytics team within the Omnia AI practice, you are passionate about data and technology solutions, are driven to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in technical data solutions including data integration, data warehousing, dimensional models, in-memory architectures, master data/reference management, and business analytics. You are enthusiastic about all things data, have strong problem-solving and analytical skills, are tech-savvy and have a solid understanding of software development.
                    Specifically, in this role, you will:

                    +

                    • Engineer and architect data integration and BI/DW solutions to enable business analytics and drive insights
                    • Translate business rules and requirements into data objects, produce associated data models and source to target mappings and write abstracted, reusable code components accordingly
                    • Plan/schedule tasks, lead small development teams, and mentor junior colleagues
                    • Facilitate technical meetings with client staff, and advise client with technical option analyses based on leading practices

                    +
                    +
                    +
                    +

                    About the team

                    +

                    +

                    Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with a disciplined focus on business outcomes.

                    +


                    Our Data Modernization & Analytics team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverage a different mix of traditional and innovative technologies to achieve business outcomes.

                    +
                    +
                    +
                    +

                    Enough about us, let’s talk about you

                    +
                    +

                    You are someone with:
                    • 2-3 years of experience with analysis, design, development, testing and deployment of analytics services
                    • 2-3 years implementation experience of distributed systems and data architecture - design and implement batch and stream data processing pipelines, knows how to optimize the distribution, partitioning, and MPP of high-level data structures.
                    • Experience working with and building data pipelines, applications to stream and process datasets at low latencies leveraging Google Cloud Platform (GCP) using Dataflow or Spark.
                    • Experience writing complex SQL queries, ETL optimization, designing, coding, and tuning big data processes using Apache Spark or similar technologies.
                    • Experience with streaming data using Dataflow, Spark, Flink, Kafka Streams, etc
                    • Completed Bachelor’s Degree (or higher) in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or related field is desired

                    +

                    If you believe you have what it takes to be a successful member of our team, please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

                    +

                    The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                    +
                    +
                    +
                    +

                    Why Deloitte?

                    +

                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                    +
                    • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                    • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                    • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                    • +
                    +


                    The next step is yours

                    +

                    Sound like The One Firm. For You?

                    +

                    At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                    +

                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                    +

                    ",,https://careers.deloitte.ca/job/Multiple-Locations%2C-Ontario%2C-C-Data-Engineer-GCP%2C-Omnia-AI/877143300/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-11-10T14:00:55.078Z,False,0,3,28,https://talenthub.vectorinstitute.ai/jobs/155441653-data-engineer-gcp-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Multiple-Locations%2C-Ontario%2C-C-Data-Engineer-GCP%2C-Omnia-AI/877143300/,expired,2022-10-07T02:46:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Masters Degree,New Posting, +6163295d-6724-42cc-825f-ad071ca1a348,155399440,Scotiabank,Data Engineer - CID&A,on_site,Canada : Ontario : Toronto,2022-10-06T20:20:23.206Z,"

                    -

                    Requisition ID: 176192

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    The Team

                    -


                    The Risk Modeling Technology team supports various stakeholders Global Risk Management (GRM) - Risk Models and Analytics Team, Regulatory Capital, IFRS9 provisioning & Enterprise stress Testing team in the implementation of regulatory and non-regulatory initiatives, utilizing both Agile and Waterfall approaches.

                    -

                    The Role

                    -


                    Risk Modeling Technology team is seeking an experienced Senior Technical Business Analyst with 3-5 years of practical business analysis experience and technical capabilities to navigate and drive resolution of complex business problems. The role will require liaising with stakeholders on existing and/or new business initiatives, delivering solutions to meet the needs of multiple lines of business stakeholders, and managing medium to large projects, and providing ongoing support. The candidate must have strong organizational, oral & written communication skills, with hands on experience in execution of all key phases on project lifecycle (e.g. requirements gathering, documentation, design and development, testing, implementation). The incumbent will have a minimum of 3-5 years of strong data analytics skills capabilities using SQL, understanding data models. Ability to read and understand code such as SQL, SAS, Python and ability to self-learn new technologies is a big plus.

                    -

                    Responsibilities:

                    -
                    • Work with BA/Program lead to manage requirements related activities and deliverables throughout the project life cycle (e.g. change requests, issues, risks, schedules,status reporting etc.) for retail credit risk Loan portfolio (Mortgage, Credit Card, Heloc, Auto Loans)
                    • Work collaboratively with Business and IT staff to develop and maintain thorough knowledge of product, system and process capabilities, ensuring precise communications between IT and stakeholders, technical compatibility and user satisfaction.
                    • Thoroughly understand and communicate stakeholder requirements and distribute relevant information, documentation and artifacts to project stakeholders.
                    • Elicit requirements using interviews, document analysis, requirements workshops, surveys, use cases, scenarios, business analysis and workflow analysis.
                    • Translate high-level business and user requirements into functional & IT specific requirements with appropriate level of detail suitable for use by those who must base their work & development on the requirements.
                    • Develop and execute functional, end-to-end test cases to ensure requirements are met
                    • Responsible for data analysis, profiling, data mapping, data lineage activities to support business requirements, and data governance requirements.
                    • Proactively communicate and collaborate with external and internal customers to analyze information needs.
                    • Providing support to month-end and quarter-end risk model calculations and Capital/Regulatory reporting
                    • +

                      Requisition ID: 164453

                      Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                      +

                      +

                      Purpose:

                      +

                      +

                      The Customer Insights, Data, and Analytics organization at Scotiabank is focused on building high-value solutions across the bank. Our organization consists of accomplished professionals who blend expertise in computer science, data, machine learning, and banking to deliver innovative projects that drive the business. A key part of success for the group is having scalable, fast, and continuously evolving data processes, and this is the responsibility of the Data Office Data Engineering team. As an integral part of the team, the Data Engineer will be responsible for all technical aspects of the data pipelines that power advanced and descriptive analytics work.

                      +

                      We have a dynamic work environment that will provide you with exposure to leaders in data & analytics, the opportunity to continuously learn, and support to be innovative.

                      +


                      KEY ACCOUNTABILITIES:

                      +


                      • Work with business teams across the organization (Canadian Banking, Intl. Banking, Treasury, GBM) to understand their data-driven goals
                      • Partner with advanced analytics teams to build powerful data assets and processes
                      • Be the subject matter expert on data driven processes, visualization workflows, and tools with which to analyze data
                      • Build automated data management and data quality capabilities into projects
                      • Build re-usable components to scale development across the organization, collaborating with other technical teams to streamline high-value data to the Analytics platforms
                      • Build re-usable managed datasets for consumption by both revenue generating analytics and operational corporate functions (e.g. finance, risk, etc.)
                      • Experiment & learn!

                      +


                      QUALIFICATIONS:

                      +


                      • Bachelor’s degree in Computer Science or Engineering, or related field or relevant experience
                      • Experience in finance is an asset
                      • Programming skills in Python, Scala, and /or Java. Experience with Spark is preferred
                      • Comfortable working in database environments. Experience with PostgreSQL, HDFS/Hive, MinIO an asset
                      • Exposure to Kubernetes, Airflow, Jenkins is an asset
                      • Familiarity with agile tooling to efficiently build as a team: git, Jira, Confluence, etc.
                      • Experience with visualization tools an asset: Power BI/Tableau
                      • Familiarity with data management capabilities (data registration, data quality, etc.) and ability to learn advanced data management toolsets
                      • High aptitude for diving in and picking up new technologies as required
                      • Eligible to work in Canada

                      +

                      +

                      +

                      Location(s): Canada : Ontario : Toronto

                      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Data-Engineer-ON-M5C2V9/563950517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-11-07T14:47:00.000Z,False,0,7,34,https://talenthub.vectorinstitute.ai/jobs/155399440-data-engineer-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Engineer-ON-M5C2V9/563950517/,expired,2022-10-06T20:20:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, +239176c1-8608-47d3-9f76-f6da34a6c369,170605614,TD Bank Group,Data Scientist II Applied Machine Learning,on_site,"Toronto, ON",2022-11-24T17:24:03.021Z,"
                    +

                    Company Overview

                    +
                    +

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    +

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    +
                    +

                    +

                    Department Overview

                    +
                    +

                    What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                    +

                    As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                    +

                    TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                    +
                    +

                    +

                    Job Description

                    +
                    +

                    You are an expert in the development of machine learning solutions. You have the knowledge and experience to surmount modelling, tooling and data challenges, and collaborate with technology and product owners to resolve platform issues. You have a razor-sharp focus on returning value fast through minimum viable products, incrementally and iteratively realizing product visions. You naturally provide your team with modelling, coding, and engineering best practices, enabling them to become experts themselves.

                    +

                    Day to day, you will:

                    +

                    · Lead the technical delivery of machine learning products; developing, reviewing & merging code, architecting solutions, leading constructive code reviews, assuring technical excellence and influencing your team to continually advance technical practices

                    +

                    · Guide Agile pods on continuous improvement, ensuring that the next sprint is delivered better than the previous

                    +

                    · Facilitate the professional & technical development of your colleagues through mentorship and feedback

                    +

                    · Self-direct, with the ability to identify meaningful work in down times and effectively prioritize in busy times

                    +

                    · Drive value through engineered assets, and by improving development processes, maximizing ROI & modelling velocity

                    +

                    · Be an exceptional collaborator in a high-interaction environment

                    +
                    +

                    +

                    Requirements

                    +
                    +What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    +

                    · Minimum three years of experience delivering major data science projects

                    +

                    · Master’s degree+ in a related discipline, or equivalent experience

                    +

                    · Expert coding proficiency: python, R, SQL and Scala, cloud architecture

                    +

                    · Expert technical skills: machine learning, data engineering, MLOps, cloud solution architecture, software development practices

                    +

                    · Communication, business acumen and stakeholder management competencies

                    +
                    +

                    +

                    Additional Information

                    +
                    #LI-hybrid
                    +

                    +

                    Hours

                    +
                    37.5
                    +

                    +

                    Inclusiveness

                    +

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    +

                    +
                    ",,https://jobs.td.com/en-CA/jobs/17066663/data-scientist-ii-applied-machine-learning-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-12-28T14:29:10.920Z,False,0,6,48,https://talenthub.vectorinstitute.ai/jobs/170605614-data-scientist-ii-applied-machine-learning-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17066663/data-scientist-ii-applied-machine-learning-toronto-ca/,expired,2022-11-24T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +fa39f85d-c8d1-4c26-a5ab-643840f609a3,183865617,Bell Canada,Summer Internship 2023 - Emerging Technologies - Bell Business Markets ON/QC/Atlantic,on_site,"Mississauga, Ontario",2023-01-05T17:21:04.278Z,"

                    As a Summer Intern in Bell Business Markets, you will learn how the work we do enables the workforce of the future, and helps businesses transform and grow. Over the course of the summer, you will have the opportunity to drive B2B solutions, develop business opportunities, collaborate across the business, and learn from industry experts. Leverage the country’s largest voice, data, and wireless network, and leading end-to-end solutions, to support the aspirations of Canadian businesses.

                    +

                    +

                    Be a part of the Bell Business Markets Summer Intern Program, as we evolve our product roadmaps, integrate our wireless and wireline business, launch new solutions with agility, collaborate intimately with partners, make recommendations to clients, and rise to the challenges of Canadian businesses, all built on Canada’s largest network with world-class security.

                    +

                    +

                    Bell Business Markets recognizes the diverse skills and interests of students, which is why it has 4 pathways to kick-start your summer career and secure a position in our best-in-class Graduate Leadership Program upon graduation.

                    +

                    +
                    +
                    +
                    +

                    Why Join The Program

                    +
                    +
                    +

                    Benefit from training and ongoing support from Bell leaders.

                    +
                      +
                    • Interact with an amazing peer-to-peer support network.
                    • +
                    • Gain valuable insights and experience working with emerging technologies.
                    • +
                    • Develop your analytical, problem-solving, project management and leadership skills with real, customer-facing challenges.
                    • +
                    • Secure advanced eligibility to our best-in-class Graduate Leadership Program once graduated.
                    • +
                    +

                    +

                    Emerging Technologies

                    +
                      +
                    • Technology Specialist (Network)
                    • +
                    • Business Intelligence Analyst
                    • +
                    • Data Scientist (Data Engineering, Software Development)
                    • +
                    • Product Consultant (Cloud, IoT, Contact Center, Collaboration)
                    -

                    Is this role right for you?

                    -


                    Business Analysis

                    -
                    • Excellent verbal and written communication skills. Candidate is expected to interact on an ongoing basis with various teams (business and technical) to gather requirements, document and analyze issues, present findings and formulate solutions, so having strong communication and analytical skills is key. Solid communication skills (written and verbal) is necessary, as the candidate is expected to write technical and business requirements, user guides, operational documentation, etc,
                    • Critical thinker, investigating, analyzing, and resolving complex problems and thinks outside of the box to resolve issues, and propose solutions
                    • Strong testing (QA) abilities to be able to ensure testing coverage for new requirements and changes.
                    • Ability to work effectively as a team member in cross-functional project teams.
                    • Strong data analytic skillset is a must, combined with SQL for the purpose of data solutioning, testing/validation and gap analysis.
                    • Self starter, and passion for driving teams towards high performance and a deep pride in providing high quality results.
                    • Detail oriented, methodical and has ability to translate business ideas into automated solutions.
                    • Effective organizational skills, with working knowledge of project planning and project management to assume end-to-end ownership of a project and responsibility for the related project deliverables.
                    • +

                      Depending on which role you are in, you may:

                      +
                        +
                      • Develop sustainable, repeatable and quantifiable business process improvements.
                      • +
                      • Develop go-to-market strategies for next generation telecommunication products and services.
                      • +
                      • Collect and analyze data to initiate, develop and recommend business practices and procedures that focus on enhanced customer service, increased productivity, and cost reduction
                      • +
                      • Work with software architects, network architects, product owners, and developers to contribute to software design, integration and deployment.
                      • +
                      • Contribute to and continuously evolve the multi-cloud and hybrid cloud adoption and optimization best practices and tools.
                      • +
                      • Partner with customers through a strategic and consultative sales approach to understand their business needs, issues, strategies, and priorities
                      • +
                      +
                    +
                    +
                    +
                    +

                    What we're looking for

                    +
                    +
                    +

                    Future thinkers with a passion for technology and an interest in telecommunications

                    +
                      +
                    • Great collaborators with the ability to communicate effectively at all levels of the organization.
                    • +
                    • Life-long learners: curiosity, initiative, and a passion for learning new skills
                    • +
                    • Eagerness to embrace change and take on new challenges
                    • +
                    • Solid analytical skills and strategic mindset
                    • +
                    +

                    +

                    Eligibility

                    +
                      +
                    • You are graduating in spring 2024 and currently working towards a Bachelors degree or Graduate degree (Masters) in computer science, information technology, security, engineering, math/statistics, economics, business analytics, or general business
                    • +
                    • OR you are graduating in spring 2024 and currently working towards a College Diploma / CGEP in computer science, information technology, security, engineering, math/statistics
                    • +
                    • Applicants with Graduate degrees (Masters) or who pursued further education, must have started their program no more than one year since completing their undergraduate degree/diploma. Gaps of greater than 1 year between educational programs will not qualify.
                    • +
                    +

                    +

                    Locations

                    +
                      +
                    • Ontario; GTA
                    • +
                    • Quebec; Montreal
                    • +
                    • Atlantic Region
                    +
                    +
                    +

                    -

                    Technical

                    +

                    #EmployeeReferralProgram

                    -
                    • Strong SQL capabilities is necessary. (Working knowledge of SAS, Informatica, DataStage, Python would are nice to have)
                    • Database Systems: Hive/Hadopp/MINIO, DB2 and SQL Server
                    • Data Mining/Modelling, Data Mapping
                    • JIRA, Confluence, Sharepoint
                    • Microsoft Suite: Excel, Powerpoint, Access, Visio, Word. Power BI
                    • -
                    +

                    Adequate knowledge of French is required for positions in Quebec.

                    -

                    What's in it for you?

                    +

                    Additional Information:

                    +

                    Position Type: Management
                    Job Status:
                    Co-op
                    Job Location:
                    Canada : Ontario : Mississauga
                    Flexible work profile :
                    Mobile
                    Application Deadline: 02/28/2023

                    -
                    • We have an inclusive and collaborative working environment that encourages creativity and curiosity and celebrates success!
                    • We provide you with the tools and technology needed to create meaningful customer experiences.
                    • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world.
                    • We hire you for your talent — not just a job — so you can grow with us. We’ll equip you for success not only in your role, but also in your career as a whole.
                    • Access to thousands of online and in-person courses so you can hone your current skills, or learn new ones.
                    • A competitive rewards package that includes a base salary, a performance bonus, company matching programs on pension and profit sharing, paid vacation, personal & sick days, medical, vision, and dental benefits that start from day one and much more!
                    • -
                    +

                    All team members are expected to reside in Canada and within a reasonable commuting distance from their work location to ensure that they are able to come to the office as required, whether the visit is planned or unplanned.

                    -

                    #ScotiaTechnology

                    -

                    #LI-Hybrid

                    -

                    #CapitalMarketTech

                    +

                    Please apply directly online to be considered for this role. Applications through email will not be accepted.

                    -

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Senior-Technical-Business-Analyst%2C-Capital-Markets-Technology-ON-M5H4A6/568956917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-29T18:58:48.144Z,False,0,2,18,https://talenthub.vectorinstitute.ai/jobs/210220480-senior-technical-business-analyst-capital-markets-technology-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Technical-Business-Analyst%2C-Capital-Markets-Technology-ON-M5H4A6/568956917/,expired,2023-03-30T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,No Degree,New Posting, +

                    At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                    +

                    +

                    Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                    +

                    +

                    Created: Canada, ON, Mississauga

                    +

                    +

                    Bell, one of Canada's Top 100 Employers.

                    ",,https://jobs.bell.ca/ca/en/job/BECACA407508EXTERNALENCA/Summer-Internship-2023-Emerging-Technologies-Bell-Business-Markets-ON-QC-Atlantic?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2023-01-11T17:26:02.951Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/183865617-summer-internship-2023-emerging-technologies-bell-business-markets-on-qc-atlantic-at-bell-canada,BECACA407508EXTERNALENCA,expired,2023-01-05T17:21:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Internship/Co-op,Bachelors Degree,New Posting, +e31bc78a-7fe8-464b-8ecf-922e5649f0f5,176655737,Scotiabank,"Associate, ALM Analytics",on_site,Canada : Ontario : Toronto,2022-12-12T17:22:03.252Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 169074

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    Purpose

                    +

                    +

                    The Associate, ALM Analytics, role is part of a dynamic and innovative analytics team where you will be directly involved in developing high performance analytics that support traders, strategists, and senior management in Scotiabank’s head office Treasury. The Balance Sheet Analytics area brings together fresh ideas and perspectives to the projects we work on. Working within a top-tier Canadian bank treasury unit, you will be in a unique position to learn all aspects of how the bank operates and your contributions will directly be used to provide truly valuable insights into managing a large international bank’s balance sheet.

                    +

                    +

                    The Associate, ALM Analytics, position is ideal for a recent advanced business degree holder (MBA or equivalent) with a technical background (Engineering, Physics, Computer Science) who is interested in working in the financial industry. The successful candidate must demonstrate a keen interest of the financial industry, and have strong command of multiple programming languages and data management software. As part of the Balance Sheet Analytics team, he/she will write, implement, test, and maintain data and models for hedging and balance sheet management purposes. Further, the candidate will be responsible for performing scenario analyses on the regulatory projects and develop reports for Trading teams to use.

                    +

                    +

                    The candidate thrives in a collaborative team environment, building and enhancing internal relationships with Finance, Traders and Risk Management. They must be able to multi-task and demonstrate an ability to identify process improvement opportunities. This is a position that requires a strong commitment, with tight deadlines that result in competing demands and heavy workload at peak times.

                    +

                    +

                    Accountabilities

                    +

                    +
                    • Maintain, source, and develop resolutions for analytical data used by the Treasury model development, trading, and analysis teams.
                    • Formulate, propose, and communicate with team members on structural interest rate risk methodologies on a product and business line basis.
                    • Utilize, run, and test sophisticated quantitative tools to forecast structural interest rate risk exposures.
                    • Design and produce interim deliverables through rapid prototyping, with requirements and solutions developed on an iterative basis, until a final production solutions is created.
                    • Work closely with the Hedging Team, Global Risk Management, and Business Line Finance/Comptroller teams on reporting requirements and exposure measurement issues.
                    • Collaborate with peers on designing high level solutions strategy, and assisting in completing cost/benefit analysis.
                    • Assist the team in proposing and communicating to management and business units on potential changes to products and analytical measurement methodologies on both product-by-product and portfolio basis.
                    • +
                    +

                    +

                    Skills, Education & Experience

                    +

                    +
                    • Strong and/or expert knowledge in statistical and data management software: Python, MatLab, SQL.
                    • Strong understanding of interest rate market dynamics.
                    • Solid quantitative and modeling development experience.
                    • Strong presentation and communication skills, both oral and written Excellent analytical, problem-solving, conceptualization, and strategic thinking skills Ability to communicate technical and analytical concepts to a broad range of stakeholders
                    • At least one Masters-level degree in Business, Financial Engineering, or highly technical disciplines (i.e. engineering, physics, or applied mathematics), plus an undergraduate degree in physics, engineering, or computer science.
                    • Minimum 2 year of experience at a top-tier financial institution, with knowledge in interest rate products, data analytics, and risk management; or For new graduates, demonstrate top tier academic standings in courses related to quantitative financial and technical programming disciplines
                    • Trade floor analytics experience is desired but not required.
                    • +
                    +

                    +

                    +

                    treasuryjobs

                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Associate%2C-ALM-Analytics-ON-M5H1H1/565859717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-11T20:37:17.046Z,False,0,10,39,https://talenthub.vectorinstitute.ai/jobs/176655737-associate-alm-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Associate%2C-ALM-Analytics-ON-M5H1H1/565859717/,expired,2022-12-12T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, +0e965abc-c924-4f9c-ae16-8f55492381d2,176159085,Accenture,Data Science Senior Manager,on_site,"Toronto, ON, Canada",2022-12-11T17:29:02.815Z,"
                    +

                    Job Description

                    +
                    +

                    +

                    We Are
                    The people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Visit us to find out more about Accenture Applied Intelligence.

                    +

                    +

                    You Are
                    An expert at solving real-world challenges with data, analytics, AI and creativity. Yes, creativity! You know the theory and you have hands-on expertise from studies, experience and/or self-taught projects. As a senior manager working at Accenture you will work on a team with diverse clients and industries delivering solutions to help clients turn data into actionable insights that drive tangible outcomes, improve performance and help clients lead the market.

                    +

                    +

                    What You’ll Do
                    • Collaborate with prospective clients to solve large & complex business problems with data, analytics & AI
                    • Shape narrative for sales origination and educate account teams on data, analytics, AI applicability to their industry/clients
                    • Lead multiple teams and engagements to engineer & deliver value for clients
                    • Play an active role building a practice including capability development, recruitment, and mentorship
                    • Help drive the innovation agenda, including thought leadership publication
                    • Stay abreast of technologies, academic research & hands-on techniques for cloud, data, analytics & AI

                    show more
                    +

                    Qualifications

                    +

                    +

                    What We’re Looking For
                    • Extensive experience engaging with client senior leadership on complex business problems
                    • Expertise developing solution offerings and communicating findings to executive audiences
                    • Well versed with managing data science teams and engagements, and providing technical leadership
                    • Extensive experience embracing challenges with cloud, data, analytics & AI lifecycle in enterprise setting
                    • 8+ years of consulting experience or relevant industry experience with proven track record of making significant client impact and value creation

                    +

                    +

                    Bonus Point If
                    • Graduate degree in data science or related disciplines: e.g. Mathematics, Statistics, Computer Science, Economics, Engineering and Physics
                    • Ability to build, manage and foster a team-oriented environment, working creatively and analytically in a problem-solving environment
                    • Certifications from a cloud service provider in Cloud Architecture, Engineering or DevOps
                    • A blend of data science capability, industry and consulting expertise
                    • High initiative and a desire/ability to persist through obstacles/ambiguity
                    • Excellent written and oral communication skills with ability to clearly communicate findings, concepts and ideas
                    • English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company\'s activities to avoid this requirement.

                    +
                    +

                    Locations

                    +
                    Ontario - Ottawa, Ontario - Toronto, Quebec - Montreal
                    +
                    +
                    +

                    +Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements +

                    +
                    +

                    Equal Employment Opportunity Statement

                    +

                    +

                    All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                    +

                    +

                    Accenture is committed to providing veteran employment opportunities to our service men and women.

                    +

                    +

                    Requesting An Accommodation

                    +

                    +

                    Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                    +

                    +

                    If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                    +

                    +

                    Other Employment Statements

                    +

                    +

                    Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                    +

                    +

                    The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company\'s legal duty to furnish information.

                    +
                    +
                    +
                    Share
                    +
                    Share
                    +
                    Job Link:
                    Copy
                    +
                    +
                    +

                    COVID-19 update: The safety and well-being of our candidates, our people, and their families continue to be a top priority. Please be aware that Accenture requires all new employees to be fully vaccinated against Covid-19 as a condition of employment. Accenture will consider requests for accommodation based on human rights grounds (e.g., medical/disability, religious/creed, other) to this vaccination requirement during the recruiting process.

                    +
                    +
                    ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00129048_en&title=Data+Science+Senior+Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2023-01-11T21:01:42.160Z,False,0,4,17,https://talenthub.vectorinstitute.ai/jobs/176159085-data-science-senior-manager-at-accenture,,expired,2022-12-11T17:29:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Post-Graduate Diploma,New Posting, 8c11d1a6-aa46-45be-b71a-5471043ee1ea,171556236,RBC,"Analyst, Client Data Analytics",on_site,"Toronto, ON, Canada",2022-11-28T17:16:03.984Z,"

                    Come Work with Us!

                    At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                    Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                    Job Title

                    Analyst, Client Data Analytics

                    @@ -109508,120 +117779,287 @@ b8effc41-0618-467e-8128-ef5765ecddc3,205044336,Google,"Research Intern, PhD, Sum
                    ",,"https://careers.google.com/jobs/results/74595809733026502-research-intern-phd-summer-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-03-30T21:32:00.000Z,False,0,8,36,https://talenthub.vectorinstitute.ai/jobs/205044336-research-intern-phd-summer-2023-at-google,,expired,2023-03-15T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,PhD,New Posting, -3939dfce-c368-4a45-a319-a3e1297d991b,219393204,Borealis AI,Senior Machine Learning Research Team Lead,on_site,"Ontario, Canada",2023-04-27T17:27:02.768Z,"
                    -

                    What\'s the opportunity?

                    -

                    Borealis AI is looking for a Senior Research Team Lead. The role includes managing a team of research team leads, researchers, and research engineers with the goal of delivering AI-based products for the financial services industry. In addition, you will lead initiatives that improve the effectiveness of the research organization.

                    -

                    Your responsibilities include:

                    -
                      -
                    • To lead a team of machine learning researchers delivering cutting edge AI technology to support AI-based products.
                    • -
                    • To partner with Borealis AI’s product and engineering teams to ensure the seamless delivery of these products.
                    • -
                    • To manage other research team leads and provide guidance and support.
                    • -
                    • To lead initiatives that improve the overall performance of the Borealis AI Research Team.
                    • -
                    • To help recruit, mentor and retain a high-performing research team.
                    • -
                    -

                    You’re our ideal candidate if you have:

                    -
                      -
                    • A Ph.D. degree in Computer Science or a related technical field;
                    • -
                    • 5 years of experience leading machine learning research teams in a product-centric environment or equivalent experience;
                    • -
                    • A track record of successful people management including mentoring junior researchers and engineers, experienced high-performance researchers, and research managers;
                    • -
                    • Experience delivering high-impact machine learning products
                    • -
                    • Involvement across the research and development lifecycle, from prototyping to production, engaging with stakeholders to develop solutions that meet business needs;
                    • -
                    • Detailed knowledge of cutting edge machine learning techniques;
                    • -
                    • The ability to formulate and drive a research project independently;
                    • -
                    • Exceptional communication skills;
                    • -
                    • A history of high quality academic publications (e.g., NeurIPS, CVPR, AISTATS, ICLR, ICML etc.);
                    • -
                    -

                    What\'s in it for you?

                    -
                      -
                    • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                    • -
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                    • -
                    • Ability to make a difference and lasting impact from a local-to-global scale.
                    • -
                    -

                    About Borealis AI

                    -

                    Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                    -

                    Inclusion and Equal Opportunity Employment

                    -

                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                    -

                    -
                    ",,https://www.borealisai.com/careers/?gh_jid=6616707002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-05-28T03:07:02.611Z,False,0,3,34,https://talenthub.vectorinstitute.ai/jobs/219393204-senior-machine-learning-research-team-lead-at-borealis-ai,,expired,2023-04-27T17:27:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,PhD,New Posting, -648d2312-3178-4b4c-a6ad-bd6d65ba0658,222290749,TD Bank Group,Data Analyst Intern/Co-op,on_site,"Toronto, ON",2023-05-04T17:24:03.542Z,"
                    +39c8f8e0-d27e-4850-8fb2-dbf405b4497d,226183789,TD Bank Group,Data Scientist I,on_site,"Toronto, ON",2023-05-16T15:53:05.844Z,"

                    Company Overview

                    -

                    All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                    -

                    Why TD?

                    -

                    TD’s Colleague Promise: A better you. A better us.

                    -

                    A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                    +

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    +

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    Department Overview

                    -
                    -

                    Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                    -

                    Our Co-op/Intern Programming is offered with select Co-op and Internship roles, and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                    -
                      -
                    • Leadership talks with key Leaders from across the organization

                    • -
                    • Lunch and Learns on topics such as Innovation

                    • -
                    • Diversity and Inclusion and Personal Branding and so much more

                    • -
                    -
                    +

                    The Global Compliance Department mission is to foster a culture of integrity, ethics and compliance and deliver independent risk management and oversight of regulatory compliance risk and conduct risk throughout TD. This is performed in accordance with the Global Compliance Department Mandate, in execution of the Global Compliance Operating Framework (GCOF). The department achieves this by independently assessing the adequacy of, adherence to and effectiveness of regulatory compliance management programs and controls in the business; delivering objective guidance and independent challenge; proactively managing regulatory change; and providing trusted and reliable reporting, advice and opinion to senior leadership and the Board on the state of regulatory compliance risks, controls and outcomes.

                    Job Description

                    -

                    You will have the opportunity to work with one of our various teams within the DaaS group. From Day 1, you will be treated as an equal member of the team and given meaningful assignments to help us deliver improvements to our data platforms across multiple segments such as Core Banking, Business Banking, Insurance, Wealth, or Enterprise Platforms.

                    -

                    Job responsibilities for a junior Data Analyst may vary by area. This may include, but is not limited to the following:

                    +

                    About this Role

                    +

                    Do you want to dive into the intersection of fairness and machine learning? Do you want to tackle how we can leverage explainability approaches to open machine learning and AI black boxes for customers? Are you passionate about technology and ethics? If so, then this is a job for you.
                    As the backbone of our financial system, banks have rich large-scale datasets and are rapidly adopting machine learning solutions to improve customer experience and drive business performance. While machine learning is increasingly pervasive across society, there are many outstanding questions and challenges to ensure that ML/AI solutions are fair and transparent. In this position, you will play a key role in ensuring the ethical application of machine learning.

                    +

                    This position reports to the Senior Manager of the Compliance Oversight of Models Office. Detailed accountabilities include:

                      -
                    • Work with business and technology partners to define, develop and document detailed business, data and system requirements.

                    • -
                    • Participate as a member of agile pod team focused on developing new capabilities, including agile ceremonies.

                    • -
                    • Collaborate with data engineers, product owners, quality engineers and other stakeholders to deliver an end-to-end capability from concept to production-deployment.

                    • -
                    • Have performed data analysis, profiling, clean-up, data wrangling and validation as part of University assignments.

                    • -
                    • Based on data analysis, provide recommendations for data remediation, improvements.

                    • -
                    • Participate in program/ system research, analysis, detailed design and problem resolution.

                    • -
                    • Respond to user enquiries on data platform, in a timely manner.

                    • -
                    • Troubleshoot and determine root cause and resolution for application defects.

                    • -
                    • Apply Software Development Life Cycle (SDLC) and Project Management Methodology (PMLC) to complete specific tasks for projects.

                    • -
                    • Continuously enhance knowledge/expertise and keep up-to-date with leading-edge technologies trends/developments.

                    • -
                    • Develop expertise in data platform, infrastructure, data pipeline, analytical tools and design techniques that can contribute to effective solution development and delivery.

                    • -
                    • Good communication, interpersonal, collaboration skills to work in an agile cross-functional team, with different stakeholders.

                    • -
                    • Have owned, delivered a project assignment in University starting from Inception, Initiation, Execution until Implementation. Project outcome reviewed and measured as expected.

                    • +
                    • Conduct research on how to identify, assess, and address ML modeling risks and associated concerns, especially fairness and explainability
                    • +
                    • Maintain up-to-date knowledge of techniques and developments in the field of machine learning and share knowledge with business partners and senior management
                    • +
                    • +Lead compliance review of machine learning use cases across TD, and build a close working relationship with business units across the Enterprise. Objectives include:
                        +
                      • Supporting compliance risk management associated with models used by TD;
                      • +
                      • Supporting the business in identifying models whose outcomes impact customers or communities;
                      • +
                      • Assessing models for regulatory compliance and conduct risk, including fair banking risk; and
                      • +
                      • Supporting the business in monitoring regulatory compliance and removing or mitigating conduct risk throughout the model lifecycles.
                      • +
                      +
                    • +
                    • Partner with Legal, Privacy, Model Validation and other Compliance Units
                    • +
                    • Represent Compliance in projects that have a regulatory compliance component and/or carry regulatory risk exposure related to the use of a model
                    +

                    The position involves working effectively with different internal partners such as TD Wealth, TD Insurance, ED&A, PBDA, and Layer 6 among others.

                    +

                    TEAM DESCRIPTION

                    +

                    The successful candidate will join the Compliance Oversight of Models Office (COMO), an interdisciplinary team that sits at the intersection of data science, regulatory understanding, and ethics. COMO is responsible for the global compliance oversight of models from a regulatory compliance and conduct risk perspective. COMO’s oversight spans the model lifecycle and engagement with disparate model stakeholders. The COMO mandate includes but is not limited to:

                    +
                      +
                    • Assessing models for regulatory compliance and conduct risk;
                    • +
                    • Providing oversight and independent challenge to approaches used to identify, assess, and address model compliance risks and concerns (e.g., fairness/bias and explainability); and
                    • +
                    • Supporting the business in monitoring regulatory compliance and removing or mitigating conduct risk throughout the model lifecycle.
                    • +
                    +

                    COMO embraces a multidisciplinary approach, celebrating the alternative, multi-faceted perspectives needed to ensure that AI is developed and deployed ethically. COMO is committed to helping team members develop professionally and expand their horizons because the best way to address the ML challenges of tomorrow is to have a team that can see those challenges today.

                    Requirements

                    -
                    • Currently enrolled in a relevant technology programs, such as Computer Science, Engineering, Information Technology Management, Financial Analysis and Risk Management, Computing, etc.

                    +What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                      -
                    • Strong communication and inter-personal skills with the ability to deliver message and ideas effectively to diverse audiences such as business, development, quality engineers and management stakeholders.

                    • -
                    • A thirst for constantly exploring emerging technology such as Azure, python, Talend, Tableau, Informatica.

                    • -
                    • Familiarity with Jira and Confluence.

                    • -
                    • Proficient with Excel, Visio, SQL, some reporting and analytical tools.

                    • -
                    • Understands Data Modeling concepts.

                    • -
                    • Able to manage multiple priorities and work independently, as well as part of a team.

                    • -
                    • Experience with technology project delivery and agile delivery methodology would be an asset.

                    • -
                    • Some prior experience with creating visualization such as Process and Data Flows.

                    • -
                    • Good documentation skill; can produce data mapping between Source and Target Systems. Capture User Stories and Use Cases.

                    • -
                    • Hands-on programming experience would be an asset, which could include familiarity and strength in any of the following: C, C++, C#, Object C, Java, Java Script, Python, NodeJS, SQL, J2EE, Web Services, DB2, MS SQL.

                    • +
                    • Hands-on data science expertise including, but not limited to, machine learning, statistics, and data visualization
                    • +
                    • Experience with/knowledge of methods, techniques and tools to support explainable AI (XAI) and address ML bias/fairness
                    • +
                    • The ability to stay abreast of developments in artificial intelligence and machine learning and provide thought leadership the same
                    • +
                    • The ability to effectively collaborate with technical and non-technical stakeholders across the model development lifecycle and as part of enterprise initiatives
                    • +
                    • Ability to influence people and deal with conflicting points of view and to effect creative and responsive solutions
                    • +
                    • Excellent verbal and written communication skills
                    • +
                    • Comfort representing Compliance in executive-level initiatives and meetings, and working with all levels of staff within the Enterprise
                    • +
                    • Work effectively as a team to peer review other team members’ work and share knowledge
                    • +
                    • Assist with response to regulatory inquiries, examinations and investigations as applicable.
                    • +
                    • Represent Compliance in projects that have a regulatory compliance component and/or carry regulatory risk exposure.
                    • +
                    • Quick learner who constantly works on improving skills and expertise.
                    • +
                    • Good time management and multitasking skills with minimal supervision.
                    • +
                    +

                    EXPERIENCE & EDUCATION:

                    +
                      +
                    • Postgraduate degree (preferably in computer science, math, statistics, engineering, or related quantitative field)
                    • +
                    • Knowledge of the machine learning model development lifecycle (model validation expertise would be especially advantageous)
                    • +
                    • Understanding of explainability and/or fairness in the context of advanced analytics and machine learning
                    • +
                    +
                    +

                    +

                    Additional Information

                    +
                    +#LI-Hybrid #LI-Post #datascientist
                    +

                    +

                    Hours

                    +
                    37.5
                    +

                    +

                    Inclusiveness

                    +

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    +

                    +
                    ",,https://jobs.td.com/en-CA/jobs/18336289/data-scientist-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-06-01T21:33:00.000Z,False,0,27,64,https://talenthub.vectorinstitute.ai/jobs/226183789-data-scientist-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18336289/data-scientist-i-toronto-ca/,expired,2023-05-16T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, +7f223086-c691-4101-a2b3-1eedb3225dc5,227295636,National Research Council Canada,Application Development specialist (Data repositories),hybrid,"Ottawa, ON, Canada",2023-05-19T13:13:45.703Z,"

                    Application Development specialist (Data repositories)

                    +

                    Priority may be given to the following designated employment equity groups: women, Indigenous peoples* (First Nations, Inuit and Métis), persons with disabilities and racialized persons*.

                    +


                    * The Employment Equity Act, which is under review, uses the terminology Aboriginal peoples and visible minorities.

                    +

                    City: Ottawa

                    +

                    Organizational Unit: Digital Technologies

                    +

                    Classification: CS-2

                    +

                    Tenure: Term

                    +

                    Duration: September 2025

                    +

                    Language Requirements: English

                    +

                    Note: Due to the nature of the work and operational requirements, this position will require some physical presence at the NRC work location identified in the form of a hybrid work arrangement (a combination of working onsite and offsite).

                    +

                    The NRC Advantage

                    +

                    Great Minds. One Goal. Canada's Success.

                    +

                    The National Research Council of Canada (NRC) is the Government of Canada's largest research organization supporting industrial innovation, the advancement of knowledge and technology development. We collaborate with over 70 colleges, universities and hospitals annually, work with 800 companies on their projects, and provide advice or funding to over 8000 Small and Medium-sized Enterprises (SMEs) each year.

                    +

                    We bring together the brightest minds to deliver tangible impacts on the lives of Canadians and people around the world. And now, we want to partner with you. Let your expertise and inspirations make an impact by joining the NRC.

                    +

                    At the NRC, we know that diversity enables excellence in research and innovation. We are committed to a diverse and representative workforce, a safe and respectful work environment, and contributing to a more inclusive Canadian innovation system. We welcome all qualified applicants and encourage you to complete the employment equity self-declaration questions during the job application process.

                    +

                    Please let us know of any accommodation measures required to help you to be assessed in a fair and equitable manner. Please note that the information you provide will be treated confidentially.

                    +

                    Your Challenge

                    +

                    Help bring research to life and drive your career forward with the National Research Council of Canada (NRC), Canada's largest research and technology organization.

                    We are looking for an Application Development specialist to support our Digital Technologies Research Centre. The Application Development specialist would be someone who shares our core values of Integrity, Excellence, Respect and Creativity.

                    +

                    The incumbent will be part of a multi-partner (NRC, University, other government department) research project developing new technologies to enhance transportation infrastructure resiliency.

                    The project will develop innovative analysis and prediction technologies using sensor data and satellite imagery.

                    More specifically, the incumbent will:
                    • Develop data models for complex data (acquired by project partners) storage, retrieval and querying.
                    • Evaluate, test and implement available database, big data framework(s) and cloud service(s) (as necessary) and build the project’s data repository.
                    • Design, develop and test software code which allows exploration, access and retrieval of data for other modules of the project.
                    • Optimize the performance and scalability of the data repository (software and data).
                    • Provide support to other project partners for access to the repository data, and management of integration of their supplied data in the repository.
                    • Create the necessary documentation.

                    +

                    Screening Criteria

                    +

                    Applicants must demonstrate within the content of their application that they meet the following screening criteria in order to be given further consideration as candidates:

                    +

                    Education

                    +

                    1. College or university degree in computer science, computer engineering, or related field.

                    +

                    2. Consideration may be given to candidates with significant experience and a High School diploma.

                    +

                    For information on certificates and diplomas issued abroad, please see Degree equivalency

                    +

                    Experience

                    +

                    • A minimum of 1 year of programming experience in a team environment, using modern software development tools, techniques, and methodologies.
                    • Experience working with complex data (Sensors, image, video, geospatial, satellite etc.).
                    • Experience indexing and storing big data sets (Big data frameworks, cloud solutions etc.).
                    • Experience in using source version management tools such as Subversion and git.
                    • Experience in designing and implementing modern web applications.

                    +

                    Condition of Employment

                    +

                    Reliability Status

                    +

                    Language Requirements

                    +

                    English

                    +

                    Information on language requirements and self-assessment tests

                    +

                    Assessment Criteria

                    +

                    Candidates will be assessed on the basis of the following criteria:

                    +

                    Technical Competencies

                    +

                    • Knowledge of data base management systems, Cloud services, & big data frameworks.
                    • Knowledge of data modelling tools.
                    • Knowledge of programming languages such as Python, Java, JavaScript.
                    • Knowledge of Linux operating system.
                    • Knowledge of web application development (Dynamic portals, visualization tools, dashboards).

                    +

                    Behavioural Competencies

                    +
                      +
                    • Research - Creative thinking (Level 2)
                    • +
                    • Research - Results orientation (Level 1)
                    • +
                    • Research - Teamwork (Level 1)
                    • +
                    • Research - Communication (Level 2)
                    • +
                    • Research - Self-knowing and self-development (Level 1)
                    • +
                    +

                    Competency Profile(s)

                    +

                    For this position, the NRC will evaluate candidates using the following competency profile(s): Research Technician/Technologist

                    +

                    View all competency profiles

                    +

                    Relocation

                    +

                    Relocation assistance will be determined in accordance with the NRC's directives.

                    +

                    Compensation

                    +

                    From $74,552 to $93,612 per annum.

                    An incumbent occupying a position within the CS Group is currently entitled to receive a terminable allowance of $176 per month.

                    NRC employees enjoy a wide-range of competitive benefits including comprehensive health and dental plans, pension and insurance plans, vacation and other leave entitlements.

                    +

                    Notes

                    +

                    • A pre-qualified list may be established for similar positions for a one year period.
                    • Preference will be given to Canadian Citizens Permanent Residents of Canada, persons with an open work permit and indigenous peoples living in the United States. Please include citizenship information in your application.
                    • The incumbent must adhere to safe workplace practices at all times.
                    • We thank all those who apply, however only those selected for further consideration will be contacted.

                    +


                    Please direct your questions, with the requisition number (18761) to:

                    +

                    E-mail: NRC.NRCHiring-EmbaucheCNRC.CNRC@nrc-cnrc.gc.ca

                    +

                    Closing Date: 31 May 2023 - 23:59 Eastern Time OR Posted until filled

                    +


                    For more information on career tools and other resources, check out Career tools and resources

                    ",,https://recruitment-recrutement.nrc-cnrc.gc.ca/job/Ottawa-Application-Development-specialist-%28Data-repositories%29-ON/570477917/,info@nrc.ca,https://nrc.canada.ca/en,,,2023-06-01T21:34:00.000Z,False,0,9,31,https://talenthub.vectorinstitute.ai/jobs/227295636-application-development-specialist-data-repositories-at-national-research-council-canada,,expired,2023-05-19T13:13:00.000Z,admin,Enterprise (500+),Application Click Through,Public Administration (i.e Gov't),Associate,Bachelors Degree,New Posting, +005959a3-fbe7-40d8-bb36-d8c11bef5ba0,227295768,National Research Council Canada,Application Development Specialist (Analytics/Machine Learning),hybrid,"Ottawa, ON, Canada",2023-05-19T13:17:39.025Z,"

                    Application Development Specialist (Analytics/Machine Learning)

                    +

                    Priority may be given to the following designated employment equity groups: women, Indigenous peoples* (First Nations, Inuit and Métis), persons with disabilities and racialized persons*.

                    +


                    * The Employment Equity Act, which is under review, uses the terminology Aboriginal peoples and visible minorities.

                    +

                    City: Ottawa

                    +

                    Organizational Unit: Digital Technologies

                    +

                    Classification: CS-2

                    +

                    Tenure: Term

                    +

                    Duration: September 2025

                    +

                    Language Requirements: English

                    +


                    Note: Due to the nature of the work and operational requirements, this position will require some physical presence at the NRC work location identified in the form of a hybrid work arrangement (a combination of working onsite and offsite).

                    +

                    The NRC Advantage

                    +

                    Great Minds. One Goal. Canada's Success.

                    +

                    The National Research Council of Canada (NRC) is the Government of Canada's largest research organization supporting industrial innovation, the advancement of knowledge and technology development. We collaborate with over 70 colleges, universities and hospitals annually, work with 800 companies on their projects, and provide advice or funding to over 8000 Small and Medium-sized Enterprises (SMEs) each year.

                    +

                    We bring together the brightest minds to deliver tangible impacts on the lives of Canadians and people around the world. And now, we want to partner with you. Let your expertise and inspirations make an impact by joining the NRC.

                    +

                    At the NRC, we know that diversity enables excellence in research and innovation. We are committed to a diverse and representative workforce, a safe and respectful work environment, and contributing to a more inclusive Canadian innovation system. We welcome all qualified applicants and encourage you to complete the employment equity self-declaration questions during the job application process.

                    +

                    Please let us know of any accommodation measures required to help you to be assessed in a fair and equitable manner. Please note that the information you provide will be treated confidentially.

                    +

                    Your Challenge

                    +

                    Help bring research to life and drive your career forward with the National Research Council of Canada (NRC), Canada's largest research and technology organization.

                    We are looking for an Application Development specialist to support our Digital Technologies Research Centre. The Application Development specialist would be someone who shares our core values of Integrity, Excellence, Respect and Creativity.

                    The incumbent will be part of a multi-partner (NRC, University, other government department) research project developing new technologies to enhance transportation infrastructure resiliency. The project will develop innovative analysis and prediction technologies using sensor data and satellite imagery.

                    More specifically, the incumbent will:
                    • Evaluate various Analytics & Artificial Intelligence (AI) approaches to respond to project goals.
                    • Translate subject matter experts’ knowledge into inputs/outputs of the proposed Analytics & Artificial Intelligence (AI) solutions.
                    • Operate complexity, performance, scalability analysis of the proposed solutions.
                    • Evaluate various implementation options and discuss them with project partners.
                    • Collect necessary data for proposed solutions’ application from partner holdings and external sources.
                    • Implement the chosen solutions.
                    • Create the necessary quality documentation.

                    +

                    Screening Criteria

                    +

                    Applicants must demonstrate within the content of their application that they meet the following screening criteria in order to be given further consideration as candidates:

                    +

                    Education

                    +

                    1. College or university degree in computer science, computer engineering, or related field.

                    +

                    2. A specialization in data analysis/analytics, Artificial Intelligence (AI) will be considered an asset.

                    +


                    Equivalent work experience may be considered.

                    +

                    For information on certificates and diplomas issued abroad, please see Degree equivalency

                    +

                    Experience

                    +

                    • Experience with at least one research project (Minimum of 1 year) developing complex solutions using analytics/AI algorithms
                    • Experience working (Storage, retrieval, querying) with complex data (sensor, image, video, geospatial, satellite etc.) may be considered an asset.
                    • Experience pre-processing complex data for analytics/AI algorithms ingestion.
                    • Experience evaluating complexity, performance, and scalability of algorithms.
                    • Experience implementing multiple analytics/AI paradigms including their documentation.

                    +

                    Condition of Employment

                    +

                    Reliability Status

                    +

                    Language Requirements

                    +

                    English

                    +

                    Information on language requirements and self-assessment tests

                    +

                    Assessment Criteria

                    +

                    Candidates will be assessed on the basis of the following criteria:

                    +

                    Technical Competencies

                    +

                    • Knowledge of complex data storage/querying tools, languages and frameworks.
                    • Knowledge of analytics/AI paradigms.
                    • knowledge of programming languages for data analytics/AI (such as Python, Java, R).
                    • Knowledge of algorithm/system complexity, performance, and scalability evaluation approaches.

                    +

                    Behavioural Competencies

                    +
                      +
                    • Research Technician/Technologist - Creative thinking (Level 2)
                    • +
                    • Research Technician/Technologist - Results orientation (Level 1)
                    • +
                    • Research Technician/Technologist - Teamwork (Level 1)
                    • +
                    • Research Technician/Technologist - Communication (Level 2)
                    • +
                    • Research Technician/Technologist - Self-knowing and self-development (Level 1)
                    • +
                    +

                    Competency Profile(s)

                    +

                    For this position, the NRC will evaluate candidates using the following competency profile(s): Research Technician/Technologist

                    +

                    View all competency profiles

                    +

                    Relocation

                    +

                    Relocation assistance will be determined in accordance with the NRC's directives.

                    +

                    Compensation

                    +

                    From $74,552 to $93,612 per annum.

                    +

                    An incumbent occupying a position within the CS Group is currently entitled to receive a terminable allowance of $176 per month.

                    +


                    NRC employees enjoy a wide-range of competitive benefits including comprehensive health and dental plans, pension and insurance plans, vacation and other leave entitlements.

                    +

                    Notes

                    +

                    • A pre-qualified list may be established for similar positions for a one-year period.
                    • Preference will be given to Canadian Citizens Permanent Residents of Canada, persons with an open work permit and indigenous peoples living in the United States. Please include citizenship information in your application.
                    • The incumbent must adhere to safe workplace practices at all times.
                    • We thank all those who apply, however only those selected for further consideration will be contacted.

                    +

                    Please direct your questions, with the requisition number (18763) to:

                    +

                    E-mail: NRC.NRCHiring-EmbaucheCNRC.CNRC@nrc-cnrc.gc.ca

                    +

                    Closing Date: 31 May 2023 - 23:59 Eastern Time OR Posted until filled

                    +

                    For more information on career tools and other resources, check out Career tools and resources

                    ",,https://recruitment-recrutement.nrc-cnrc.gc.ca/job/Ottawa-Application-Development-Specialist-%28AnalyticsMachine-Learning%29-ON/570479117/,info@nrc.ca,https://nrc.canada.ca/en,,,2023-06-01T21:35:00.000Z,False,0,28,106,https://talenthub.vectorinstitute.ai/jobs/227295768-application-development-specialist-analytics-machine-learning-at-national-research-council-canada,,expired,2023-05-19T13:17:00.000Z,admin,Enterprise (500+),Application Click Through,Public Administration (i.e Gov't),Associate,Bachelors Degree,New Posting, +af1cef50-1514-4f06-8b7f-9a23ec1c18b6,226612308,Bell Canada,Technical Product Manager,on_site,"Don Mills, Ontario",2023-05-17T19:22:03.498Z,"

                    Req Id: 409260

                    +

                    +

                    At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

                    +

                    +

                    If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team.

                    +

                    Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.

                    +

                    +
                    +
                    +
                    +

                    Summary

                    +
                    +
                    +

                    The Data Science Team within Customer Operations is at the forefront of innovation. Our goal is to leverage the power of Artificial Intelligence and Machine Learning to provide the best service for our customers while accelerating our product roadmaps. The work we do is critical in ensuring that Bell remains the best telecommunications provider in Canada.

                    +


                    As the product team focused on Digital and Marketing, we manage ML products that help serve our customers better with their experience and with inbound and outbound communication. Working in a dynamic, fast-paced environment, activities will include product management of one or more of our AI/ML product lines, which will include product lifecycle management, use case development, business adoption, competitive benchmarking and analysis, and business planning activities.

                    +


                    The successful candidate will drive the product vision while ensuring a flawless customer experience. She/he will be a key interface between business facing and technical delivery teams, while maintaining concise updates for the executive team. This role requires leadership, maturity, strong analytical capabilities, solid business acumen and a deep-seated impulse to sweat the details of our products and projects – all to ensure amazing experiences for our customers.

                    +
                    +
                    +
                    +
                    +

                    Key Responsibilities

                    +
                    +
                      +
                    • Collaborating with cross-functional teams & industry leading partners to build and launch new innovative products
                    • +
                    • Full lifecycle support of products including ideation, coordination, business adoption, performance monitoring and iteration
                    • +
                    • Pitching innovative solutions and recommendations in concise and compelling presentations to senior executives
                    • +
                    • Leading use case discovery with business partners and coordinating into a concise roadmap to be executed on with business and technical teams
                    • +
                    • Creating business cases for pursuing product initiatives; performing deep analysis to uncover obstacles and opportunities
                    • +
                    • Identify, analyze, and interpret trends or patterns in complex data sets
                    • +
                    • Combining your creativity with sound data analysis to design the optimal experience
                    • +
                    • Influencing partner teams on the right direction to take and working closely with partners to ensure proper prioritization of activities as they relate back to business objectives
                    • +
                    • Maintaining visibility to new and emerging technologies and trends that may inform roadmaps
                    • +
                    • Contributing to a growing Agile team and being part of a program that emphasizes team building, collaboration and continuous improvement
                    • +
                    +
                    +
                    +
                    +

                    Critical Qualifications

                    +
                    +
                    +

                    +
                      +
                    • Bachelor's degree in Business, Commerce, Finance, Computer Science, Engineering, Statistics or equivalent
                    • +
                    • 2+ years of end-to-end product management experience with knowledge across planning, development, measurement and quality processes.
                    • +
                    • Self-motivated, action-oriented and demonstrated ability to deliver results
                    • +
                    • Strong problem solving skills and able to develop an approach to decision making
                    • +
                    • Advanced capability to query, analyze, and visualize data; Familiarity with Python or any simple scripting language would be an asset
                    • +
                    • Highly organized and able to manage multiple priorities simultaneously with minimal direction
                    • +
                    • Excellent communication skills; clear and concise verbal and written communication style, able to effectively communicate, influence and present at all levels
                    • +
                    • Proven ability to learn and understand new technologies; comfortable with technical discussions
                    • +
                    • Familiarity with AI/ML and/or Statistics fundamentals considered an asset
                    • +
                    • Product management skills and experience considered an asset
                    • +
                    • Team oriented and possessing excellent leadership skills
                    • +
                    • Working knowledge of Agile - Confluence, JIRA
                    +

                    #Indeed #Tech #Technology #Talent #Jira #Confluence #AI #ML #ArtificalIntelligence #Machinelearning #Python #Statistics #Telecom #telecommunication

                    -

                    -

                    Additional Information

                    -
                    -

                    Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.

                    -

                    Early Talent Requirements

                    -
                      -
                    • This position is a 4-month work term and will commence September 5th, 2023 – December 22nd, 2023.

                    • -
                    • Applications must include a resume (maximum of 2 pages).

                    • -
                    • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.

                    • -
                    • TD requires employees to reside in Canada where the role is located. Successful candidates are expected to arrange relocation to one of our Toronto offices in a hybrid model (1-3 days per week in office).

                    • -
                    -

                    Assigned Line of Business Requirements

                    -
                    • Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting

                    -

                    -

                    Start Date

                    -
                    – Fall
                    -

                    -

                    Inclusiveness

                    -

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -

                    -
                    ",,https://jobs.td.com/en-CA/jobs/18300637/data-analyst-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-25T20:58:00.000Z,False,0,8,39,https://talenthub.vectorinstitute.ai/jobs/222290749-data-analyst-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18300637/data-analyst-intern-co-op-toronto-ca/,expired,2023-05-04T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +
                    +
                    +

                    Preferred Qualifications

                    +
                    +
                    +
                    +
                    +
                    +

                    Additional Requirements

                    +
                    +
                    +
                    +
                    +

                    +

                    #EmployeeReferralProgram

                    +

                    +

                    Adequate knowledge of French is required for positions in Quebec.

                    +

                    +

                    Additional Information:

                    +

                    Position Type: Management
                    Job Status:
                    Regular - Full Time
                    Job Location:
                    Canada : Ontario : Don Mills
                    Flexible work profile:
                    Mobile
                    Application Deadline: 05/30/2023

                    +

                    +

                    All team members are expected to reside in Canada and within a reasonable commuting distance from their work location to ensure that they are able to come to the office as required, whether the visit is planned or unplanned.

                    +


                    Please apply directly online to be considered for this role. Applications through email will not be accepted.

                    +

                    +

                    At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                    +

                    +

                    Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                    +

                    +

                    Created: Canada, ON, Toronto

                    +

                    +

                    Bell, one of Canada's Top 100 Employers.

                    ",,https://jobs.bell.ca/ca/en/job/BECACA409260EXTERNALENCA/Technical-Product-Manager?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2023-06-02T19:27:03.228Z,False,0,5,21,https://talenthub.vectorinstitute.ai/jobs/226612308-technical-product-manager-at-bell-canada,BECACA409260EXTERNALENCA,expired,2023-05-17T19:22:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Manager,Bachelors Degree,New Posting, 56f65712-8768-41ba-a6f9-d8d27f3e0672,220631050,Scotiabank,"Senior Technical Business Analyst, Capital Markets Technology",on_site,Canada : Ontario : Toronto,2023-04-30T17:22:02.637Z,"

                    @@ -109742,176 +118180,6 @@ b8effc41-0618-467e-8128-ef5765ecddc3,205044336,Google,"Research Intern, PhD, Sum

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Virtual-ON-CAN/Lead-Machine-Learning-Engineer_R230006177-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-05-31T19:43:19.677Z,False,0,9,45,https://talenthub.vectorinstitute.ai/jobs/221074140-lead-machine-learning-engineer-at-bmo-financial-group,,expired,2023-05-01T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -4e635252-d4ea-48d8-bcb6-445270c9cd25,226183738,Scotiabank,"Manager, Non-Pre Approval Originations (Data Analytics)",on_site,Canada : Ontario : Toronto,2023-05-16T15:52:06.263Z,"

                    -

                    -

                    -

                    -

                    Requisition ID: 176519

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    -

                    Purpose of Job:

                    -

                    -

                    The Manager, Non-Pre-Approval Originations will develop and monitor credit risk origination strategies, policies, and processes in order to optimize risk/return for credit cards, unsecured lines of credit, unsecured installment loans and over drafts for the Canadian retail portfolio.

                    -

                    The manager will use in-depth portfolio analytics to optimize approval/decline decision criteria, automation decision, and limit assignment strategies for New and Existing customers, leveraging champion/challenger capabilities to confirm assumptions, learn about shifts in consumer credit behavior, and identify risks/opportunities that will impact the Risk Appetite Framework. These tasks will be accomplished leveraging extensive consumer data, credit risk and lending business expertise and advanced analytics techniques including machine learning. The person must have strong communication skills to propose changes to senior management and collaborate with risk partners including Product, Operations, and Technology.

                    -

                    This position requires technical expertise including experience with risk technologies origination and various testing methods to lead strategy and policy implementation with minimal defect, as well as a deep understanding of credit bureau information.

                    -

                    -

                    Job Responsibilities:

                    -

                    -

                    Origination Strategies

                    -
                    • Develop credit risk origination strategies and policies for the Canadian unsecured lending, with goal of using observational decision models to approve credit and set customer credit exposure.
                    • Ensure all new approved credit is aligned with risk appetite and regulatory requirements and will optimize risk/return over the long term.
                    • Lead successful implementation of strategy changes across different technology platforms and channels. Promote lean adjudication decision design.
                    • Identify opportunities to improve/examine new risk strategies with building a robust and competitive portfolio in mind.
                    • -
                    -

                    -

                    Portfolio Monitoring

                    -
                    • Improve and maintain monthly/weekly performance monitoring on new accounts acquired through different channels and special programs. Owner of the end-to-end reporting process (from raw data in SQL tables to automated production-grade dashboards).
                    • Assess strategy effectiveness and proactively identify if any segments are or will impact provisioning estimates as vintages mature.
                    • -
                    -

                    -

                    Support Business Line Initiatives/Projects

                    -
                    • Ensure all business line judicious priorities (i.e. growth, new product launches, new channels, new processes, new business line acquisitions) are consistent with Risk Appetite Framework.
                    • Represent Risk’s point of view and liaise with stakeholders throughout the organization to listen actively, speak, and explain risk measures clearly and as appropriate.
                    • Bring innovative solutions to Projects/programs that are consistent with the Bank’s customer/business objectives and risk guardrails
                    • -
                    -

                    -

                    Job Requirements:

                    -

                    -
                    • A minimum of 3-5 years with an organization in the risk management or analytics field, with rigorous logical thinking and solid understanding of credit principles.
                    • Prior experience in a retail lending environment or credit risk management is an asset.
                    • Strong knowledge designing strategies that impact organization’s P&L.
                    • Proficiency in programing and database (SAS/Enterprise Miner or similar statistical software including the ability to apply advanced statistical techniques, SQL, R, Python).
                    • Able to translate data into digestible dashboards and business insights (PowerBI, Tableau, PowerApp).
                    • Ability to work effectively within a team, able to multi-task and prioritize.
                    • Excellent communication and written skills complemented with solid deductive reasoning, sound judgement, and creativity.
                    • Bachelor’s degree or higher or equivalent work experience;
                    • -
                    -

                    -

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Non-Pre-Approval-Originations-%28Data-Analytics%29-ON-M5C2W1/569312017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-29T15:57:04.280Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/226183738-manager-non-pre-approval-originations-data-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Non-Pre-Approval-Originations-%28Data-Analytics%29-ON-M5C2W1/569312017/,expired,2023-05-16T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -54827dda-05ca-4a3e-b238-2191455da25c,229115589,NVIDIA,AI Solutions Architect,on_site,"Ontario, Canada",2023-05-25T16:15:03.082Z,"
                    -

                    NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Data Science focused Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL) and Data Science platforms. Exposure to inferencing technology (e.g., understanding of model compression techniques, model compilation or model serving) would be an added value. In our Solutions Architecture team, we work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence. We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone always thinking about artificial intelligence, someone who can maintain synergy in a fast paced, rapidly evolving field, someone able to coordinate efforts between corporate marketing, industry business development and engineering.

                    -

                    -

                    You will be working with the latest HPC architectures coupled with the most advanced neural network models, changing the way people interact with technology. As a Solutions Architect, you will be the first line of technical expertise between NVIDIA and our customers. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key executives and managers to evangelize accelerated computing. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns.

                    -

                    -

                    What You’ll Be Doing:

                    -
                      -
                    • Develop and demonstrate solutions based on NVIDIA’s state-of-the-art AI and ML software and hardware technologies to customers.

                    • -
                    • Work directly with key customers to understand their technology and provide the best solutions.

                    • -
                    • Perform in-depth analysis and optimization to ensure the best performance on GPU architecture systems. This includes support in optimization of both training and inference pipelines.

                    • -
                    • Partner with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations.

                    • -
                    • Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures.

                    • -
                    -

                    -

                    What We Need to See:

                    -
                      -
                    • Excellent verbal, written communication, and technical presentation skills in Japanese. Business level English communication is also a requirement.

                    • -
                    • MS/PhD in Computer Science, Data Science, Electrical/Computer, or equivalent experience Engineering, Physics, Mathematics, other Engineering fields

                    • -
                    • 3+ years of academic and/or industry experience in fields related to machine learning, deep learning and/or data science.

                    • -
                    • You are excited to work with multiple levels and teams across organizations (Engineering, Product, Sales and Marketing team)

                    • -
                    • You are a self-starter with attitude for growth, passion for continuous learning and sharing findings across the team.

                    • -
                    -

                    -

                    Ways to Stand Out from The Crowd:

                    -
                      -
                    • Experience running large scale distributed DL training.

                    • -
                    • Background with working with larger transformer-based architectures.

                    • -
                    • Experience using DevOps technologies such as Docker, Kubernetes, Singularity, etc.

                    • -
                    • Understanding of HPC systems: data center design, high speed interconnect InfiniBand, cluster storage and scheduling related design and/or management experience.

                    • -
                    -

                    -

                    -

                    -

                    -
                    ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Japan-Tokyo/AI-Solutions-Architect_JR1965947,feed-importer@jobboard.io,,,,2023-05-29T16:20:04.309Z,False,0,8,28,https://talenthub.vectorinstitute.ai/jobs/229115589-ai-solutions-architect-at-nvidia,,expired,2023-05-25T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Product Development),Mid-Senior Level,Masters Degree,New Posting, -a03ecd24-8ba2-432b-ae28-1b30c9047b0e,226981525,CIBC,"Director, Treasury Quantitative Analytics",on_site,"Ontario, Canada",2023-05-18T15:32:02.338Z,"
                    -

                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                    -

                    -

                    At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                    -

                    -

                    To learn more about CIBC, please visit CIBC.com

                    -

                    -

                    Job Description

                    -

                    -

                    What You’ll Be Doing

                    -

                    -

                    Treasury Analytics supports the senior Treasury leadership team in establishing the analytical and systems framework to measure, model, and optimize retail product risks and customer behavior. This support consists of pricing new and existing retail banking products, forecasting P/L, and transfer pricing the interest-rate and optionality risk from retail SBU’s into Treasury for hedging. Treasury Analytics also manages the customer behavior risk to optimally maintain minimal customer behavior risk in the Canadian Retail Balance Sheet.

                    -

                    -

                    As the Director, Treasury Analytics, you will support Senior Directors to evolve and expand the mandate of Treasury Analytics, providing strategy and leading the management of individual cashflow modeling programs. You will drive insights, identify inherent risk drivers of consumer products and relate relate modeling risk specifications back to the business. This requires the ability to think critically, dive into the underlying mechananics of the specific problems and translate complex concepts into program enhancements and specification to Technology for development. This is a high visibility role where the Director must effectively communicate complex problems and solutions to senior treasury executives and LOB.

                    -

                    -

                    Additionally, you will maintain/enhance the analytics infrastructure developed in Treasury Analytics used to conduct analysis of how consumer behavior affects retail product cash-flows and the use of embedded options; to assist in developing business requirements; to assist in appling advanced statistical models and financial engineering techniques to quantify and ensure mimimal consumer behaviour risk. You will also assist in implementing/applying advanced analytics for optimization, reporting, P/L decomp and back-testing, and risk factor simulation and to interpret and explain any resulting output. This is a unique opportunity that involves leadership and development of the Treasury Analytics functions and expansion of mandates.

                    -

                    -

                    At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                    -

                    -

                    How You’ll Succeed

                    -
                      -
                    • Management and Enhancement of Cash-Flow Modeling Books - Leadership role to specify and model the retail risk representation in the cashflow modeling book (CFMB). This includes working with the LOB to understand any behavioural changes and strategic thinking to evolve the program to effectively model and hedge risk. Liase with Treasury CFO group to interpret and explain cash-flow modeling P/L variability. Enhancing PnL decomposition and signing off on daily cash-flow modeling P/L.

                    • -
                    • Financial/Derivative Analytics - Ensure pricing and risk analytics capture all hedge-able risks as is practical. This will include work to prototype pricing and hedge of fixed income derivatives. Maintain/Develop analytics/methodologies for transfer pricing new retail products, assess new and existing retail product profitability, and cash-flow modeling book.

                    • -
                    • Consumer Behavior Analytics - Apply customer behaviour calibration techniques for Treasury Analytics’ parameter review. Incorporate consumer behavior models into the funds transfer pricing and hedging processes. Collaborate in the development, continuous improvement and ongoing expansion of an analytics library with appropriate tools, models and techniques for modeling of customer behaviour and interest rate risks.

                    • -
                    • Systems and Support (Infrastructure) - Lead development and implementation of various strategic business initiatives. This includes liaise with various groups within CIBC to explain methodologies, and procedures developed within Treasury Analytics to assess analytic/data requirements for future business activities and resolve any issues which arise. Lead the maintenance of pricing, risk and mathematical analytics library supporting integration across all Treasury systems that are used for Bank-wide benchmarking to validate pricing or risk. This will ensure consistency of risk measures across different risk platforms and measures and mitigate model risk.

                    • -
                    • Quantitative Analysis - Lead the implementation of sophisticated mathematical modeling, processes or algorithms to conduct analysis. Ensure operational effectiveness to deliver analytics capabilities, ensuring that outputs are correct and reproducible, and proper documentation to explain methods.

                    • -
                    -

                    -

                    Who You Are

                    -
                      -
                    • You can demonstrate experience. In ALM, Product Analytics, and Risk Management with a bank and/or other financial institution. You have strong work experience in applied mathematical, quantitative analytics, statistical, or stochastic modeling. Strong system and quantitative programming skills using C/C++/Python/R/SQL or high-level languages. Experience in working with banking retail products such as commitments, mortgages or GICs.

                    • -
                    • It’s an asset. Experience in quantitative analytics with a bank and/or other financial institution in areas of valuation, hedging and risk measurement is a strong asset. Exposure to valuation and risk metrics of various interest rate derivatives will be an asset.

                    • -
                    • You can demonstrate knowledge. In financial economics, financial mathematics such as fixed income theory, statistics, treasury processes, risk management and balance sheet modeling techniques. You have strong theoretical understanding of financial economics, financial mathematics, statistics, risk management and option modeling techniques. Ability to express modeling insights with an aptitude for explaining PnL and risk drivers. Experience in advanced GLM (including Cox regression), panel time series and model selection.

                    • -
                    • You have a degree/diploma. Masters/Doctoral degree in mathematics, computer science, quantitative finance, engineering, statistics and/or related technical subject.

                    • -
                    • You’re goal oriented. You’re motivated by accomplishing your goals and delivering your best to make a difference.

                    • -
                    • You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way. Ability to express modeling insights with an aptitude for explaining PnL and risk drivers. Creative problem solver and strong analytical skills.

                    • -
                    • You\'re motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.

                    • -
                    • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                    • -
                    -

                    -

                    What CIBC Offers

                    -

                    -

                    At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                    -
                      -
                    • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                    • -
                    • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                    • -
                    • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                    • -
                    -

                    -

                    What you need to know

                    -
                      -
                    • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                    • -
                    • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                    • -
                    -

                    -

                    -

                    -

                    -

                    -

                    Job Location

                    161 Bay Street, 39th Floor

                    Employment Type

                    Regular

                    -

                    Weekly Hours

                    37.5

                    Skills

                    -

                    Asset and Liability Management (ALM), Behavior Modeling, C++ Programming Language, Communication, Critical Thinking, Financial Modeling, Fixed Income Valuation, Hedging, PL/SQL (Programming Language), Product Analytics, Python (Programming Language), Risk Management, R Programming, Treasury Management
                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Director--Treasury-Quantitative-Analytics_2304779?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-05-29T15:37:01.627Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/226981525-director-treasury-quantitative-analytics-at-cibc,,expired,2023-05-18T15:32:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, -8d7447f0-9c03-4898-887b-9a11024de1d4,230064448,Borealis AI,Machine Learning Researcher,on_site,"Ontario, Canada",2023-05-28T15:55:02.100Z,"
                    -
                    -

                    What\'s the opportunity?

                    -

                    As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                    -

                    Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                    -
                    -
                    -

                    Your responsibilities include:

                    -
                      -
                    • Developing novel AI solutions that facilitate impactful products;
                    • -
                    • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                    • -
                    • Working with the development team to transfer research work into production;
                    • -
                    • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                    • -
                    • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                    • -
                    -
                    -
                    -

                    You’re our ideal candidate if you have:

                    -
                      -
                    • A passion for solving open problems using data and algorithms;
                    • -
                    • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                    • -
                    • Ability to formulate and drive a research project independently without close supervision;
                    • -
                    • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                    • -
                    -
                    -
                    -

                    What’s in it for you?

                    -
                    -
                      -
                    • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                    • -
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                    • -
                    • Leaders who support your development through coaching and managing opportunities;
                    • -
                    • Ability to make a difference and lasting impact from a local-to-global scale.
                    • -
                    -

                    About Borealis AI

                    -
                    -
                    -

                    Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                    -

                    Inclusion and Equal Opportunity Employment

                    -

                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                    -
                    ",,https://www.borealisai.com/careers/?gh_jid=6645277002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-05-29T20:25:00.000Z,False,0,2,3,https://talenthub.vectorinstitute.ai/jobs/230064448-machine-learning-researcher-at-borealis-ai,,expired,2023-05-28T15:55:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, d848a297-f2bc-4eb5-b0f0-15baaece21e1,226184572,TELUS,DataOps Engineer,on_site,"Ontario, Canada",2023-05-16T16:15:05.597Z,"

                    @@ -111486,803 +119754,16 @@ fa315f30-50f5-4190-ba0c-9e4eeb47db89,168845884,Magna International,Data Scientis
                    • While performing the duties of this job, the employee is regularly required to talk and hear, and use hands to finger, handle, and feel. The employee is required to reach with hands and arms and have adequate mobility to stand, walk, sit, stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to fifty (50) pounds. Specific vision abilities required by this job include close vision and ability to adjust focus.
                    • Responsible for working in compliance with the provisions of the Health and Safety Act, as well as any rules or standards otherwise specified by OSHA, MIOSHA, or any other government regulations. Expected to exercise caution in all work activities and report any unsafe conditions, injuries, or near misses to the appropriate supervisor.
                    • Travel up to 25% - domestic and international may be required.
                    -
                    -

                    Awareness. Unity. Empowerment.

                    -
                    -

                    At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                    -

                    -

                    #LI-Hybrid

                    -
                    -
                    -
                    ",,https://jobs.magna.com/job/AURORA-Data-Scientist-ONTA-L4G-3M7/564241617/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2022-12-21T15:15:39.791Z,False,0,4,67,https://talenthub.vectorinstitute.ai/jobs/168845884-data-scientist-at-magna-international,https://jobs.magna.com/job/AURORA-Data-Scientist-ONTA-L4G-3M7/564241617/,expired,2022-11-19T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Manufacturing ,Associate,PhD,New Posting, -0318e751-4cc3-43a9-a94d-4cc179d8e7f3,172489045,TD Bank Group,Data Scientist III,on_site,"Toronto, ON",2022-12-01T17:24:02.709Z,"
                    -

                    Company Overview

                    -
                    -

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    -

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    -
                    -

                    -

                    Department Overview

                    -
                    -

                    What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                    -

                    As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                    -

                    TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                    -

                    We are on a journey to enable Environmental, Social, and Governance (ESG) at TD with a Climate Data Solution, that will blend internal and externally sourced data to deliver on key Climate priority areas and use-cases. As a part of this new team, with an enterprise mandate, you will be on the leading edge of the TD ESG journey to enable scale, competency, and business solutions through data and analytics.

                    -
                    -

                    -

                    Job Description

                    -
                    -

                    -

                    About this Role

                    -

                    For this role, we’re counting on your intensive technical leadership to forge our path moving forward. As an emissary of the crucial nature of data science, you’ll work in close proximity others across the bank to identify and pursue new opportunities wherever they lie. You’ll play a crucial role on cross functional teams of data scientists, data and IT engineers and business process owners to build out and implement world-class analytic solutions enterprise wide. You can handle just how much data TD has, and cannot wait to help build statistical models that scale to them.

                    -

                    We are looking for someone to help parse our vast data and identify needs and analytical trends employing industry leading techniques and theories to improve TD’s business practices enterprise wide.

                    -

                    As a Data Scientist III, these are the essential qualifications of this role:

                    -
                      -
                    • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core deliverables
                    • -
                    • Work closely with business owners to find opportunities and serve as an ambassador for data science
                    • -
                    • Design and deliver enterprise analytic solutions for customers
                    • -
                    • Develop powerful business insights from social, marketing and industrial data using advanced machine learning techniques
                    • -
                    • Build complex statistical models that learn from and scale to petabytes of data.
                    • -
                    • Analytical thought leadership and stay current on developments in data mining and the application of data science
                    • -
                    • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
                    • -
                    • Generally accountable for a significant business management area that typically has enterprise wide impact or accountability
                    • -
                    • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
                    • -
                    -
                    -

                    -

                    Requirements

                    -
                    - What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    -
                      -
                    • Undergraduate degree or technical certificate
                    • -
                    • Ten (10) or more years of relevant experience
                    • -
                    -
                    -

                    -

                    Hours

                    -
                    37.5
                    -

                    -

                    Inclusiveness

                    -

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -

                    -
                    ",,https://jobs.td.com/en-CA/jobs/16981948/data-scientist-iii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-12-22T16:46:00.000Z,False,0,1,19,https://talenthub.vectorinstitute.ai/jobs/172489045-data-scientist-iii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16981948/data-scientist-iii-toronto-ca/,expired,2022-12-01T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -efc29aa5-e9df-46d8-994f-22b0966ebb4f,179641765,BMO Financial Group,Senior Data Engineer,on_site,"Ontario, Canada",2022-12-21T17:12:03.694Z,"
                    -

                    Address:

                    100 King Street West

                    -

                    -

                    Job Family Group:

                    Data Analytics & Reporting

                    -

                    -

                    -

                    -

                    Who We Are:

                    -

                    BMO’s North American Commercial Banking serves clients across North America and commercial bankers are trusted advisors and partners to their clients, delivering sector and industry expertise, local presence and a full suite of commercial products and services.

                    -

                    -

                    BMO North American Commercial Bank is looking to build out a data engineering and model ops team.

                    -

                    -

                    What You’ll Do

                    -

                    You\'ll consult with data scientists, the data and analytics teams, technology partners, business partners to create pipelines, governance and solutions that impact a variety of model ops, data and insight challenges across the North American Commercial Bank. You’ll wrap model ops and analytics in clean, repeatable, and automated processes. You’ll play a critical role in elevating business stakeholders’ confidence in our data. More specifically you will:

                    -
                      -
                    • Locate data sources and demystify data contents
                    • -
                    • Become the expert on the data sourced and used in the ML operations
                    • -
                    • Establish robust pipelines for data used in the execution of ML and Analytics programs
                    • -
                    • Ensure production behavioral scores and business metrics values align with expectations
                    • -
                    • Identify and explain deviations in metrics proactively. Set in motion paths for resolution
                    • -
                    • Clarify key business metrics. Code and implement these metrics at scale
                    • -
                    • Prepare modeling master data sets in collaboration with data scientists
                    • -
                    • Create insights and visualizations which answer high impact business questions
                    • -
                    • Prepare model validation documentation
                    • -
                    -

                    -

                    Qualifications

                    -
                      -
                    • Consultative approach engaging internal partners (e.g. data science, business, technology) desired
                    • -
                    • Experience impacting business transformation with data
                    • -
                    • Proven experience building data pipelines in production for advanced analytics use cases
                    • -
                    • Practical knowledge of software engineering concepts and best practices, inc. DevOps, DataOps, and MLOps
                    • -
                    • Proven ability to write clean, maintainable, scalable, and production ready code
                    • -
                    • Practical knowledge of software engineering concepts and best practices, inc. DevOps, DataOps, and MLOps
                    • -
                    • Strong proficiency with SQL and its variations among different databases
                    • -
                    • Skilled at optimizing large and complicated SQL statements
                    • -
                    • 4+ years production development experience
                    • -
                    • 6+ years of relevant work experience as a Data Operations Engineer
                    • -
                    • 6+ years of hands on experience in building production ETL/ELT solutions for large scale data pipelines
                    • -
                    • Familiarity with distributed computing frameworks (e.g. Spark, Dask), and analytics libraries (e.g. pandas, NumPy, matplotlib)
                    • -
                    • Familiarity with cloud platforms (e.g. AWS, Azure, GCP)
                    • -
                    • Degree in computer science, engineering, mathematics, or equivalent work experience
                    • -
                    -

                    -

                    -

                    We’re here to help

                    -

                    -

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    -

                    -

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    -

                    -

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    -

                    -

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    -

                    -

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    -
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Model-Ops---Data-Engineer_R220029828?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2022-12-22T17:17:02.633Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/179641765-senior-data-engineer-at-bmo-financial-group,,expired,2022-12-21T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -d65bbfbb-57d9-4829-9743-dc90354595c4,169909090,Borealis AI,Research Director,on_site,"Toronto, ON, Canada",2022-11-23T01:05:08.647Z,"

                    What’s the opportunity?

                    Borealis AI is looking for a Research Director. The role includes directing a team of machine learning researchers and managing other research team leads with the goal of delivering AI-based products for the financial services industry. In addition, you will provide leadership and deliver on initiatives that improve the effectiveness of the entire research organization.

                    -

                    Your responsibilities include:

                    -
                      -
                    • To join the Borealis AI research leadership team and shape the research organization as a whole and contribute to its overall performance.
                    • -
                    • To work with the Borealis AI business development team to identify viable artificial intelligence products that will add significant value to RBC stakeholders.
                    • -
                    • To lead a team of machine learning researchers delivering cutting-edge AI technology to support these products.
                    • -
                    • To partner with Borealis AI’s product and engineering teams to ensure the seamless delivery of these products.
                    • -
                    • To manage other research team leads and provide guidance and support.
                    • -
                    • To help recruit, mentor, and retain a high-performing research team across Borealis AI.
                    • -
                    -

                    You’re our ideal candidate if you have:

                    -
                      -
                    • A Ph.D. degree in Computer Science or a related technical field;
                    • -
                    • 10 years of experience leading research teams in machine learning in a product-centric environment or equivalent experience;
                    • -
                    • A track record of successful people management including mentoring junior researchers and engineers, experienced high-performance researchers and research managers;
                    • -
                    • Experience delivering successful high-impact machine learning products
                    • -
                    • Involvement across the research and development lifecycle, from prototyping to production, engaging with stakeholders to develop solutions that meet business needs;
                    • -
                    • Broad research interests and detailed knowledge of cutting-edge machine learning techniques across multiple areas;
                    • -
                    • The ability to formulate and drive multiple research projects independently;
                    • -
                    • Exceptional communication and leadership skills;
                    • -
                    • A history of high quality academic publications (e.g., NeurIPS, CVPR, AISTATS, ICLR, ICML etc.) and community recognition for excellence.
                    • -
                    -

                    What's in it for you?

                    -
                      -
                    • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                    • -
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                    • -
                    • Ability to make a difference and lasting impact from a local-to-global scale.
                    • -
                    -

                    How to apply:

                    -

                    Please email your resume to mi.research@borealisai.com and include where you heard about this opportunity.

                    -

                    About Borealis AI

                    -

                    Borealis AI, a RBC Institute for Research, is a research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                    -

                    Inclusion and Equal Opportunity Employment

                    -

                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                    -

                    ",mi.research@borealisai.com,,huyen.mori@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-12-23T18:52:00.000Z,True,0,0,49,https://talenthub.vectorinstitute.ai/jobs/169909090-research-director-at-borealis-ai,,expired,2022-11-23T01:05:00.000Z,website-existing-job-slot,Enterprise (500+),Vector Quick Apply,Financial Services,Director,PhD,New Posting, -495443f8-ba54-4d60-8ef3-ddb8b476bec7,178993305,TD Bank Group,"Sr Mgr, Analytics & Insights",on_site,"Toronto, ON",2022-12-19T17:24:02.850Z,"
                    -

                    Company Overview

                    -
                    -

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    -

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    -
                    -

                    -

                    Department Overview

                    -
                    -

                    What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                    -

                    We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                    -
                    -

                    -

                    Job Description

                    -
                    -

                    -

                    About this Role

                    -

                    You’ll take the helm of a diverse, inclusive and collaborative group of Business Insights & Analytics Specialists. As a leader with vision and key representative of your team, you’ll bring your talent for relationship-building to the fore, working closely with business owners and other business partners. You’ll work together to master their business objectives then identify their data and information needs and opportunities for adding value to the business. From there, you will oversee the development of ongoing analytics projects and initiatives, using your vast expertise to walk them through the process and provide ongoing support. Most importantly, your leadership inspires leadership in others, as well as the drive to execute with speed and precision and help bring TD into the future of business.

                    -

                    -

                    As a Senior Manager, Analytics & Insights you will:

                    -
                      -
                    • Oversee and lead a large and/or highly complex, and diverse analytics function for an area of significant risk, complexity or scope
                    • -
                    • Strategically partner with leadership teams on the management of the portfolio and financials, with deep industry, external/internal, enterprise knowledge, recognizing and anticipating emerging trends and; identifying operational efficiencies and opportunities with other business management /enterprise areas
                    • -
                    • Act as a “Single Point of contact’ for key Analytics initiatives including partnering with analytics teams and enterprise data and analytics capabilities
                    • -
                    • Act as analytics expert on advanced analytics projects, challenging analytical thinking and methodology
                    • -
                    • Facilitate key strategic discussions and provide thought leadership to executive audience (output may include strategic roadmap and/or deliverables/frameworks/short to long term goals etc.)
                    • -
                    • Set operational team direction and partner to execute on common goals
                    • -
                    • Manage teams of Business Insights & Analytics professionals/specialists
                    • -
                    • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                    • -
                    • Manage raised client issues or priorities and contact appropriate areas to resolve or minimize business problems/issues
                    • -
                    • Apply judgement, discretion and collaborate with internal partners to navigate and resolve ambiguous issues
                    • -
                    • Review and craft the presentation of insights for executive leaders/business partners to drive strategic improvement
                    • -
                    • Collaborate with business partners to shape and prioritize ad hoc analysis
                    • -
                    • Use data systems and various sources to ensure team is equipped to formulate well-defined solutions to solve business problems
                    • -
                    • Ensure team uses knowledge of data capabilities across the organization to build and deliver on business analytics and insights
                    • -
                    • Oversee the development, testing and ongoing analysis for a business line or functional area employing both internal and external data from various sources
                    • -
                    • Manage workload of analytics team; assigning data request to staff based on skills and development needs
                    • -
                    • Build understanding of big data and advanced analytics capability
                    • -
                    • Identify and articulate key LOB analytic needs and assist in accelerating their delivery
                    • -
                    • Oversee strategies to attract, motivate and retain a highly diverse, qualified and engaged team to fulfill current and future business needs, creating and sustaining a high performing inclusive culture
                    • -
                    -
                    -

                    -

                    Requirements

                    -
                    -What can you bring to TD?

                    -

                    Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    -
                      -
                    • Undergraduate degree or technical certificate
                    • -
                    • Ten (10) or more years relevant experience
                    • -
                    -
                    -

                    -

                    Additional Information

                    -
                    -#LI-Hybrid
                    -

                    -

                    Hours

                    -
                    37.5
                    -

                    -

                    Inclusiveness

                    -

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -

                    -
                    ",,https://jobs.td.com/en-CA/jobs/17299685/sr-mgr-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-12-22T17:29:00.000Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/178993305-sr-mgr-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17299685/sr-mgr-analytics-insights-toronto-ca/,expired,2022-12-19T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -53ab5be7-0326-4347-a135-91920f09c7f2,188133608,Scotiabank,"Manager, Data Science",on_site,Canada : Ontario : North York || Canada : Ontario : Brampton || Canada : Ontario : Mississauga || Canada : Ontario : Scarborough || Canada : Ontario : Toronto,2023-01-18T17:22:02.934Z,"

                    -

                    -

                    -

                    -

                    Requisition ID: 170909

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    -

                    Purpose

                    -

                    The incumbent supports advanced analytics and executive reporting projects for Global Operations that deliver quantifiable benefits and improvements in business processes aligned to strategic objectives. The incumbent will leverage quantitative knowledge, data storytelling skills, data visualization tools and business knowledge to drive a superior customer experience and enable business strategy. She/he will ensure all activities conducted are in compliance with governing regulations, internal policies and procedures.

                    -

                    -

                    Accountabilities

                    -
                    • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                    • Proactively drives data-based decision making across functions by making analytical recommendations based on operational/financial/customer data and benchmarks. Implements initiatives for operational efficiencies and cost savings.
                    • Leverages analytics techniques to improve end-to-end business processes, such as descriptive, diagnostic, predictive and prescriptive analytics.
                    • Builds and maintains relationships with multiple stakeholders and keeps cross-functional lines of communication with data delivery network.
                    • Provides end-to-end analytic support for business functions including extracting/cleaning data, analyzing data, generating insights and recommendations, and presenting to key stakeholders.
                    • Applies advanced data mining techniques to facilitate fact-based analysis. Leverage agility and creativity to maximize value and insight delivered by data analysis. Utilize varied and complex data sources, including enterprise data lake, cloud, and diverse source systems.
                    • Utilizes visualization tools (Power BI) to communicate analytical insights and to support relationships with executive leadership. These insights are expected to strategically influence decisions of business operations management.
                    • Analyzes Internal Survey results and prepares presentations to communicate key insights.
                    • Maintain awareness of best practices in the field of data analytics and adopt a continuous learning model to reflect quality of work that is produced
                    • Identifies and implements use cases for enhancing customer and employee experiences across business units using advanced techniques, such as customer segmentation, text analytics (NLP) and experimental research (A/B testing).
                    • Understands how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                    • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                    • Champions a high-performance environment and contributes to an inclusive work environment.
                    • -
                    -

                    -

                    -

                    Education / Experience / Other Information

                    -
                    • Postgraduate University degree in analytics, data science, engineering, statistics, mathematics or related fields
                    • 4+ years of experience in managing and analyzing data with advanced techniques
                    • Working experience in customer analytics, text analytics and experimental research
                    • Advanced knowledge of Python/R, SQL, Power BI/DAX
                    • Knowledge of Banking Industry, such as products, services, policies and procedures, regulations and related regulatory requirements is an asset
                    • Excellent communication skills to effectively present complex information in simple terms
                    • -
                    -

                    -

                    Location(s): Canada : Ontario : North York || Canada : Ontario : Brampton || Canada : Ontario : Mississauga || Canada : Ontario : Scarborough || Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/North-York-Manager%2C-Data-Science-ON-M3C0N5/566728117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-23T23:29:00.000Z,False,0,4,6,https://talenthub.vectorinstitute.ai/jobs/188133608-manager-data-science-at-scotiabank,https://jobs.scotiabank.com/job/North-York-Manager%2C-Data-Science-ON-M3C0N5/566728117/,expired,2023-01-18T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -64494c01-0913-40e4-b1d5-d98e3d0dc32e,179960742,Roche,Senior Analytics Lead,on_site,"Ontario, Canada",2022-12-22T17:42:05.074Z,"
                    -

                    The Position

                    -

                    The Individual Contributor in Business Insights & Analytics (BI&A) is a strategic thought partner to key stakeholders and an integral contributor to Genentech’s operational planning efforts.

                    -

                    The specific role of Senior Analytics Lead requires a mix of Forecasting, Advanced Data Analytics, and Product Manager capabilities. However, all Individual Contributors have the opportunity to blend and extend their expertise on different initiatives to further develop both the breadth and depth of their capabilities.

                    -

                    -

                    He/she is responsible for providing strategic operational insights with minimal guidance / supervision, leveraging their capabilities in the following areas of expertise:

                    -
                      -
                    • -Forecasting: creating time-series and/or patient-based forecasts; conducting uncertainty analyses
                    • -
                    • -Advanced Data Analytics: designing and delivering advanced quantitative data analyses leveraging large/complex datasets
                    • -
                    • -Product Management: end to end delivery of analytical solutions from ideation through implementation, providing strategic partnership to communities across Clinical Operations
                    • -
                    -

                    -

                    MAJOR RESPONSIBILITIES

                    -

                    -

                    -Work with Clinical Operations Disease Area Communities (CODACs) and Clinical Operations Portfolio Enabling Communities (COPECs), Franchise Leads, Study Management & Country Leaders, Study Management Teams, Late Stage Portfolio Committee (LSPC) stakeholders, Lifecycle Teams to understand business needs and priorities, as well as immediate scope of work

                    -

                    -Increase the sophistication and application of advanced analytics methods (including predictive modeling, machine learning, and scalable prototypes) to measure study performance and guide portfolio-level decisions efficiently and at the speed of business

                    -

                    -Create and manage tools with up-to-date industry information to build accurate short-and long-term forecasts

                    -

                    -Work with other team members to pull in insights from primary and secondary data, to continuously improve forecast methods and accuracy

                    -

                    -Communicate the effects that trial design elements, country and site selection, competitor activities and new engagement tactics will have on clinical trial recruitment & retention forecasts

                    -

                    -Provide technical/analytical expertise to team through secondary data analytics

                    -

                    -Apply analytical and statistical methods to answer a variety of business questions using multiple data sources and technical tools/languages

                    -

                    -Monitor and assess the effectiveness of enrollment and engagement efforts, projects, and practices and identify opportunities to optimize value of investments

                    -

                    -Support the identification of appropriate sites and countries for trial placement

                    -

                    -Act as subject matter expert for applicable advanced analytical methodologies, programs and projects

                    -

                    -Collaborate within cross-functional teams to develop solutions, gain alignment and deliver impactful business insights; engage necessary stakeholders to enable better decision-making

                    -

                    -Openly share perspective and insights to elevate team thinking and drive a balanced, holistic point of view; effectively weigh and communicate trade-off considerations

                    -

                    -Take an enterprise and One PDG mindset, linking individual responsibilities with broader organization; focus on outcomes that provide most business value

                    -

                    -Demonstrate self-accountability and integrity

                    -

                    -Demonstrate strategic agility and an ability to engage stakeholders to understand and diagnose business problems and recommend appropriate courses of action

                    -

                    -Look for opportunities for continuous improvement; engage managers and peer group regularly for coaching, assistance, and advocacy

                    -

                    -Stay current with and adopt emergent relevant methodologies, tools and applications to ensure fit-for-purpose and impactful approaches

                    -

                    -Act as a thought partner and advisor to all relevant teams and stakeholders; look for and establish opportunities for peer mentorship

                    -

                    -Actively participate in cross functional communities, networks and/or knowledge-sharing bodies that enable broader and more effective use of insights and/or analytics that drive and support decisions

                    -

                    -Acquire, aggregate and/or curate data and information

                    -

                    -

                    -

                    WHO YOU ARE

                    -

                    -

                    In Individual Contributors, we are looking for people who are nimble, curious, able to effectively collaborate and lend expertise to multi-functional teams and adapt quickly to competing priorities within their Disease Area. We are also looking for people who are committed to continuing to make Genentech a great place to work, by seeking opportunities to develop their own and others’ expertise through ongoing mentorship and coaching.

                    -
                      -
                    • ""Self-starter""; strong sense of responsibility with demonstrable comfort in an entrepreneurial environment
                    • -
                    • Able to work effectively in a fluid, cross-functional, global matrixed environment and stand out as a successful collaborator
                    • -
                    • Strong interpersonal skills and a consultative mindset, with the ability to develop strong partnerships
                    • -
                    • Good problem-solving ability, breaking down complex problems into distinct parts, managing uncertainty, understanding, anticipating interdependencies
                    • -
                    • Able to proactively “connect the dots” by asking thought-provoking questions
                    • -
                    • Objective when presenting insights and guiding decision-making; demonstrate good presentation skills by pairing sound analytics with storytelling
                    • -
                    • Motivated to continuously improve performance; outcomes-focused and driven to achieve objectives
                    • -
                    • Able to lean in and manage through change
                    • -
                    -

                    -

                    -

                    PREFERRED QUALIFICATIONS

                    -
                      -
                    • Bachelor’s Degree (Business, Economics, Statistics, Mathematics, or Physical Sciences or related field is a plus); MBA or Graduate-level Degree is preferred
                    • -
                    • 7+ years of work experience with Bachelors; 5+ year of work experience with Masters; 4+ years of work experience with PhD/JD, preferably within pharmaceutical or biotech industry (commercial or clinical) and/or management consulting
                    • -
                    • Deep expertise in at least one of the following areas: Patient Insights, Investigator Insights, Forecasting, Competitive Intelligence, Data Analytics, Advanced Data Analytics, Resourcing, Information Visualization and/or Data Science
                    • -
                    -
                    • Experience with various forecasting methods and techniques strongly preferred
                    -
                      -
                    • Understands the advantages and limits of different analytical approaches
                    • -
                    • Considerable experience applying exploratory & confirmatory data analysis techniques that inform business decisions
                    • -
                    • Experience with scripting, statistical & programming languages and analytical tools preferred (i.e. Python, R, SQL, Matlab, SAS, Google/Adobe analytics)
                    • -
                    • Autonomous or semi-autonomous examination of data or content
                    • -
                    • Demonstrated use of sophisticated techniques, tools & languages typically beyond those of traditional data analysis to discover deeper insights, make predictions, or generate recommendations
                    • -
                    -
                      -
                    • Experience acting as a strategic thought partner to teams; Entrepreneurial mindset, to transform the way we use data and analytics to enable decisions and hasten our delivery of medicines for our patients
                    • -
                    • Track record of effectively working in a matrix environment with international team members coming from scientific, business and operational backgrounds, using influence without authority
                    • -
                    • Expertise in standard analysis and presentation software (Excel, PowerPoint)
                    • -
                    • Ability to merge together data sets from disparate sources and report findings in a variety of formats and mediums
                    • -
                    • Persuasive written and verbal communication skills, easily communicating complex ideas.
                    • -
                    • Strong attention to detail
                    • -
                    • Experience managing outside vendors preferred
                    • -
                    -

                    -

                    Who we are

                    -

                    A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

                    -

                    -

                    Unless entitled to a reasonable accommodation under applicable law, employees are required to be fully vaccinated against COVID-19 in accordance with customer requirements, the company’s health and safety obligations and/or applicable law or guidelines.

                    -

                    -

                    Diversity and Inclusion (D&I) are critical to the success of our company and our impact on society. We believe that by championing diversity of background, thought and experience, we can foster a sense of belonging and provide an environment where every employee feels valued, included, and able to contribute their best for the patients we serve. We’re focused on attracting, retaining, developing and advancing our people to their full potential by rewarding bold ways of thinking and integrating inclusive behaviors into every aspect of our work.

                    -

                    -

                    Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status. For more information about equal employment opportunity, visit our Genentech Careers Homepage.

                    -
                    ",,https://careers.roche.com/global/en/job/ROCHGLOBAL202211140613EXTERNALENGLOBAL/Senior-Analytics-Lead,feed-importer@jobboard.io,,,,2023-01-23T23:30:00.000Z,False,0,2,14,https://talenthub.vectorinstitute.ai/jobs/179960742-senior-analytics-lead-at-roche,,expired,2022-12-22T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Health,Senior Level,Bachelors Degree,New Posting, -36d7cb9d-3d70-4f41-983e-0523ee4289f9,183865780,TD Bank Group,Market Data Services Intern/Co-op,on_site,"Toronto, ON",2023-01-05T17:24:04.162Z,"
                    -

                    Company Overview

                    -
                    -

                    All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                    -

                    Why TD?

                    -

                    TD’s Colleague Promise: A better you. A better us.

                    -

                    A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                    -
                    -

                    -

                    Department Overview

                    -
                    -Global Operations and Business Services is a diverse and dynamic group of people delivering continued business success through leadership, collaboration, innovation and visionary thinking. We provide critical infrastructure services that support and control the trading, investment and corporate banking functions of TD Securities.
                    Within our core values, we foster a culture of diversity, inclusion and community support/giving.
                    Data is integral to the financial business. Recent years have seen the onset of big data transform financial industries, including the ways in which business is conducted, with financial services at the forefront of this wave. At TDS Data Services, Strategy and Governance, we are always looking for newer, more efficient ways to gather, manage, analyze and distribute data which means the possibilities for growth and innovation are endless.
                    We are a diverse and talented team within TD Securities that manages a wide range of data to help facilitate and drive the TD-Client relationship. Every single client that TD deals will have data associated with them to allow TD to trade or do business.
                    Data Services, Strategy and Governance is a team comprised of approximately 60 professionals that provides timely and accurate reference data services (client, credit, inventory, trading agreement, security, market and SSI) aligned to strong Governance programs, to key stakeholders globally by designing robust, scalable and flexible infrastructure and process through strategic design aligned to TD Securities’ mandate of Simplification.
                    Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.
                    Our Co-op/Intern Programming is offered with select Co-op and Internship roles, and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                    -
                      -
                    • Leadership talks with key Leaders from across the organization
                    • -
                    • Lunch and Learns on topics such as Innovation
                    • -
                    • Diversity and Inclusion and Personal Branding and so much more
                    • -
                    -
                    -

                    -

                    Job Description

                    -
                    -

                    Global Operations and Business Services provide essential risk management and control to preserve the Bank’s assets / reputation. For every trade agreed / new product launched / market entered / transaction completed, it is Global Operations and Business Services’ responsibility to develop processes and controls for the business to successfully operate.

                    -

                    Our mission is ‘To Deliver World Class Service’ to all internal partners and external clients as we place a focus on people, processes and controls. To achieve this, we need individuals who are innovative, customer-focused and highly adaptive. The successful candidate will be responsible for taking ownership of daily tasks, providing all key stakeholders with exceptional service, and working closely with the team to deliver/exceed our business goals.
                    Market Data Services is an independent and centralized infrastructure control function responsible for sourcing, validating, storing and distributing all security reference and market data needed for the Market Valuation Process (MVP) and Independent Price Verification (IPV) process of various asset classes. The Market Data Services Team plays a vital role in ensuring the high of quality of data used for various risk reports on the trading portfolios of the Bank. The group primarily conducts market data validation using established and agreed-upon thresholds and manages the resolution of discrepancies. The group is also responsible for ensuring that complete and accurate security reference and market data flow into the profit and loss (PnL) reports and into the Risk Analysis Engine, which computes risk metrics such as Value at Risk (VaR).
                    In addition, the Team is engaged in change-the-bank initiatives related to proposed changes to market data, new trading products and/or new data platforms and opportunities to innovate and automate. This role will thus appeal to an individual who is comfortable taking ownership of complex and challenging initiatives, demonstrating an aptitude for being forward thinking and innovative.
                    The role will require extensive co-ordination and interaction with various Operations teams, including the regional data services teams. These teams work very closely and the Analyst is expected to maintain an open and effective relationship across TD Securities’ global footprint. The role will also require close interaction with Front Office desks, Technology and other professionals across the firm to mitigate risks associated with the Market Valuation Process.

                    -
                    -

                    -

                    Requirements

                    -
                    -Job Accountabilities

                    -
                      -
                    • Generate accurate and complete Market Valuation Process (MVP) market data in accordance with the Global and associated business line IPV policies. This consists of daily validation and analysis of MVP data in the Asset Control system, as well as data reconciliation in all downstream systems.
                    • -
                    • Demonstrate the TD Framework and share commitments in daily activities. This consists of establishing strong relationships with Front Office, CMRM, Technology teams, audit teams, external vendors, and other stakeholders. The candidate is also expected to participate in team building and personal development activities, which aim to promote team harmony and contribute to a positive work environment.
                    • -
                    • Actively engage in all Market Data initiatives or implementation projects aimed to either reduce market data costs or improve effectiveness of internal controls and business support.
                    • -
                    • Actively contribute to new projects or requirements initiated by the Project Delivery Team, Front Office or CMRM teams. This consists of understanding the project requirements, ensuring that downstream impact and limitations are properly understood and addressed, and providing feasible solutions to identified roadblocks.
                    • -
                    • Manage the annual audit engagements by maintaining the accuracy and completeness assertions of all assigned processes. This consists of escalating any identified control gaps, ensuring that all late or missing market data uploads and related metrics are documented and appropriately explained. The candidate is also expected to ensure that all internal control processes are adequately documented in accordance with the Global Operations Standards.
                    • -
                    • Maintain a good understanding of the financial markets in general and the various products employed by the business to be able to contribute to the broader Business Services group as a subject matter expert on complex products pricing & risk issues.
                    • -
                    -

                    Job Requirements

                    -
                      -
                    • A general understanding of market environments and trading businesses.
                    • -
                    • Proficient knowledge of interest rate, foreign exchange, and commodity financial products
                    • -
                    • Detailed knowledge of financial theory and risk measurement techniques gained through academic study and practical experience.
                    • -
                    • Experience with implementation of IT projects from a business user side would be considered an asset.
                    • -
                    • Strong analytic, problem-solving, conceptualization and strategic thinking skills.
                    • -
                    • Independent thinker takes initiative to capitalize on opportunities or minimize problems.
                    • -
                    • Excellent PC skills and solid knowledge of Bloomberg, Reuters, Microsoft Excel.
                    • -
                    • VBA programming knowledge/skills are an asset
                    • -
                    • Enrollment in CFA/FRM program is an asset.
                    • -
                    • Excellent written and oral communication.
                    • -
                    • Excellent interpersonal and organizational skills.
                    • -
                    -
                    -

                    -

                    Additional Information

                    -
                    -

                    Education/Accreditations:

                    -
                    • An undergraduate degree in Business, Economics, Mathematics, Finance
                    -

                    Additional Information

                    -
                      -
                    • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                    • -
                    • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                    • -
                    • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                    • -
                    -
                    Inclusiveness
                    -
                    • At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.
                    -
                    -

                    -

                    Hours

                    -
                    37.5
                    -

                    -

                    Start Date

                    -
                    – Summer
                    -

                    -

                    Inclusiveness

                    -

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -

                    -
                    ",,https://jobs.td.com/en-CA/jobs/17547649/market-data-services-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-23T23:28:00.000Z,False,0,6,25,https://talenthub.vectorinstitute.ai/jobs/183865780-market-data-services-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17547649/market-data-services-intern-co-op-toronto-ca/,expired,2023-01-05T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -52972a7d-8498-4118-bfe2-8ec772fd0665,188134075,TD Bank Group,Senior Business Intelligence and Reporting Analyst,on_site,"London, ON",2023-01-18T17:24:04.325Z,"
                    -

                    Company Overview

                    -
                    -

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    -

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    -
                    -

                    -

                    Department Overview

                    -
                    -

                    What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.

                    -

                    The Business Intelligence group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization.

                    -

                    This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise.

                    -

                    Joining us in Business Intelligence & Reporting is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                    -
                    -

                    -

                    Job Description

                    -
                    -

                    Are you a big picture thinker? Fantastic! This is exactly the kind of thinking TD needs when it comes to our business intelligence support and analytics. In this role, we need you to take a holistic, high level approach to collection and reporting of data for major projects and initiatives across TD.

                    -

                    As data’s role in providing extraordinary products and services to our customers grows, we’ll look to the valued expertise you’ll provide in this role, to develop, adopt and evolve the best in class reporting and business intelligence capability.

                    -

                    Does this sound like you? You’re a natural leader, and can lead major initiatives and projects, joining business owners and partners to determine business needs and recommend solutions. Moreover, you have a talent for looking at a collection of data and drawing rare insights. In this role, we’ll need you to include those insights and commentary within the existing reporting packages you deliver. Finally, you’ll fit in well if you like to own your space and execute with speed and precision, relishing all challenges as opportunities to dig in, collaborate and take TD into the future of banking.

                    -

                    As a Senior Business Intelligence & Reporting Analyst, you will:

                    -

                    -
                  • Produce specialized reporting packages, dashboards and scorecards for businesses
                  • -
                  • Lead the implementation of initiatives in support of overall business/function strategy
                  • -
                  • Conduct analysis to provide improved BI to inform management leadership team
                  • -
                  • Craft complex and comprehensive BI reporting packages and dashboards utilizing data infrastructure, localized datamarts and external data sources
                  • -
                  • Validate the quality and integrity of the data included in all reporting
                  • -
                  • Develop substantial and insightful commentary/insights on new and existing reporting packages.
                  • -
                  • Work with business partners to understand business objectives and develop valuable reporting and provide ad-hoc data extracts
                  • -
                  • Understand business drivers, definitions and metrics in order to interpret findings, take action and provide relevant direction
                  • -
                  • Lead the development and implementation of portfolio reporting (e.g. acquisition, attrition, portfolio growth, profitability, etc.)
                  • -
                  • Provide (and may develop) complex reporting, analysis, and assessments at the functional or enterprise level
                  • -
                  • Work independently as the senior analyst / expert and may provide technical support to others
                  • -
                  • Maintain expert knowledge of all main data sources for the data used within the business unit and ability to effectively utilize these data sources for reporting purposes
                  • -
                  • Ideally have or acquire knowledge of broader enterprise reporting platforms and data sources and ability to integrate data across the enterprise
                  • -

                    `

                    -
                    -

                    -

                    Requirements

                    -
                    -

                    What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    -
                      -
                    • Undergraduate degree or technical certificate
                    • -
                    • Five (5) or more years relevant experience
                    • -
                    -
                    -

                    -

                    Additional Information

                    -
                    #tdcybersecurity #LI-Post
                    -

                    -

                    Hours

                    -
                    37.5
                    -

                    -

                    Inclusiveness

                    -

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -

                    -
                    ",,https://jobs.td.com/en-CA/jobs/16818052/senior-business-intelligence-and-reporting-analyst-london-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-24T17:29:03.629Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/188134075-senior-business-intelligence-and-reporting-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16818052/senior-business-intelligence-and-reporting-analyst-london-ca/,expired,2023-01-18T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -6462710a-07b2-4602-ad0c-e2ba8998aa7b,192001026,BMO Financial Group,HR Risk Analytics,on_site,"Ontario, Canada",2023-02-02T17:12:03.353Z,"
                    -

                    Address:

                    100 King Street West

                    -

                    -

                    Job Family Group:

                    Data Analytics & Reporting

                    -

                    -

                    -

                    -

                    Applies knowledge of advanced analytic algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

                    -
                      -
                    • Acts as a trusted advisor to assigned business/group.
                    • -
                    • Influences and negotiates to achieve business objectives.
                    • -
                    • Recommends and implements solutions based on analysis of issues and implications for the business.
                    • -
                    • Assists in the development of strategic plans.
                    • -
                    • Identifies emerging issues and trends to inform decision-making.
                    • -
                    • Understands and analyzes complex business problem, then formulates data-driven hypotheses to drive business value.
                    • -
                    • Builds effective relationships with internal/external stakeholders and ensures alignment.
                    • -
                    • Supports data collection, integration, and retention requirements for data.
                    • -
                    • Develops experimental design approaches to validate findings or test hypotheses.
                    • -
                    • Defines innovative data solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets.
                    • -
                    • Diagnoses and resolves predictive / analytical model performance issues while monitoring system performance and implementation of efficiency improvements.
                    • -
                    • Applies innovative and best practices to advanced analytics services to ensure high quality standards.
                    • -
                    • Sets up change control and testing processes to ensure the quality and consistency of ongoing maintenance work.
                    • -
                    • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • -
                    • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                    • -
                    • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
                    • -
                    • Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
                    • -
                    • Applies scripting / programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                    • -
                    • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, refine hypotheses.
                    • -
                    • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                    • -
                    • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                    • -
                    • Performs experimental design approaches to validate finding or test hypotheses.
                    • -
                    • Uses the appropriate algorithms to discover patterns.
                    • -
                    • Builds effective relationships with internal/external stakeholders and ensures alignment.
                    • -
                    • Supports development of tools and delivers training for data analytics and AI.
                    • -
                    • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • -
                    • Leads/participates in the design, implementation and management of core business/group processes.
                    • -
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                    • -
                    • Provides specialized consulting, analytical and technical support.
                    • -
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • -
                    • Works independently and regularly handles non-routine situations.
                    • -
                    • Broader work or accountabilities may be assigned as needed.

                      Qualifications:

                      -
                    • -
                    • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                    • -
                    • Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience
                    • -
                    • Experience with distributed computing language (e.g. Hive / Hadoop/ Spark) & cloud technologies (e.g. AWS Sagemaker, AzureML).
                    • -
                    • Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, , Perl) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
                    • -
                    • Deep proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.
                    • -
                    • Deep knowledge and technical proficiency gained through extensive education and business experience.
                    • -
                    • Verbal & written communication skills - In-depth.
                    • -
                    • Collaboration & team skills - In-depth.
                    • -
                    • Analytical and problem solving skills - In-depth.
                    • -
                    • Influence skills - In-depth.
                    • -
                    • Data driven decision making - In-depth.
                    • -
                    -

                    -

                    -

                    We’re here to help

                    -

                    -

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    -

                    -

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    -

                    -

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    -

                    -

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    -

                    -

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    -
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/HR-Risk-Analytics_R220027155?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-02-17T17:09:00.000Z,False,0,2,14,https://talenthub.vectorinstitute.ai/jobs/192001026-hr-risk-analytics-at-bmo-financial-group,,expired,2023-02-02T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,PhD,New Posting, -4e69f18a-c446-413c-a973-39004fca32f8,192002193,Scotiabank,Manager AML/ATF Models & Analytics,on_site,Canada : Ontario : Toronto,2023-02-02T17:22:03.406Z,"

                    -

                    -

                    -

                    -

                    Requisition ID: 172662

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    -

                    -

                    Purpose

                    -

                    -

                    The role Manager, AML/ATF Models and Analytics is responsible for applying sophisticated predictive/analytical modelling techniques and latest AML/ATF rules and scenarios to new models AND for enhancing the performance of existing Name and Payment Screening models. This role contributes to the overall success of the Global Risk Management’s AML/ATF team by ensuring specific individual goals, plans, and initiatives are executed / delivered in support of the team’s business strategies and objectives. Also ensures all activities conducted follow governing regulations and internal policies and procedures

                    -

                    -

                    Accountabilities

                    -

                    -

                    • Conducts testing, tuning, development and implementation of AML/ATF name/payment screening rules and models.
                    • Vets the effectiveness of screening systems and provide recommendations for improvement based on identified risks/gaps.
                    • Identifies and demonstrate value in opportunities to improve the efficiency of the models
                    • Prepare model documentation to support the model development and validation process.
                    • Properly identifies, reports and escalates issues which may impact the AML/ATF program resulting from performance, functionality or changes within name/payment screening applications
                    • Deep dive into customer/payments source data, perform data profiling and analysis to determine data opportunities for AML/ATF model and predictive data analysis

                    -

                    -

                    Education / Experience / Other Skills

                    -

                    -

                    • Working experience in data extraction, manipulation and reporting, with advanced Python, SQL programming skills.
                    • Creative, able to see the big picture and draw recommendations based on detailed knowledge of the systems/data.
                    • Nice to have knowledge of AML/ATF sanctions’ screening solutions (FircoSoft, HotScan and Bridger)
                    • Tech savvy with knowledge of systems architecture and interaction of multiple server environments.
                    • Strong time management skills and ability to handle multiple tasks/projects simultaneously.
                    • Sound knowledge of banking and payment operations.
                    • Expertise in modelling methods and statistical analysis would be an advantage.
                    • Knowledge of data visualization tools such as PowerBI would be an advantage.
                    • Bachelor’s degree or higher in Data science, Statistics, Mathematics, Engineering or another quantitative field preferred

                    -

                    -

                    -

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Manager-AMLATF-Models-&-Analytics-ON-M5H1B6/567380617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-17T17:10:00.000Z,False,0,2,12,https://talenthub.vectorinstitute.ai/jobs/192002193-manager-aml-atf-models-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager-AMLATF-Models-&-Analytics-ON-M5H1B6/567380617/,expired,2023-02-02T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -bbeeed65-dba5-4bcb-8150-04be8811ee22,188134647,EY,SAP Senior Consultant - Data Migration,on_site,Toronto,2023-01-18T17:37:03.440Z,"

                    SAP Senior Consultant - Data Migration

                    Location: Toronto
                    Other locations: Anywhere in Country
                    Date: Feb 11, 2023
                    At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
                    -
                    -

                    The opportunity

                    -

                    -

                    EY Consulting Services is a fast-moving, high-growth area with huge potential. We are currently seeking a Senior Consultant to join our SAP Data and Analytics team. This role offers variety, responsibility, and the opportunity to realize your leadership potential. We are looking for an individual who combines experience leading SAP projects with an aptitude for driving sales pursuits and for helping grow our business.

                    -

                    -

                    Your key responsibilities

                    -


                    As a Consultant, you'll assist in developing applicable methodologies, tools, approaches, points of view, thought leadership and accelerators to differentiate EY in the ERP advisory market. These are shared with all EY market facing organizations to provide consistency and common platforms with which to go to market. A willingness to travel to meet client needs.

                    -

                    -

                    You will participate in large scale SAP client engagements and stay abreast of current business and industry trends relevant to the client's business and to your domain of expertise. You should be a self-starter with excellent verbal and written communication skills. Should be comfortable interfacing with a client on a daily basis. This role requires daily interaction with the client at many levels.

                    -

                    -

                    Skills and attributes for success

                    -
                    • Effectively team with diverse skills and backgrounds and foster an innovative and inclusive team-oriented work environment.
                    • Strong written and verbal communication, presentation, client service and technical writing skills, coupled with a strong interest in further developing and integrating enterprise domain knowledge with technology skills.
                    • Demonstrate characteristics of a forward thinker and self-starter that thrives on new challenges and adapts quickly to learning new knowledge.
                    • Ability to lead a team of consulting professionals on multiple projects.
                    • A strong work ethic.
                    • -
                    -


                    To qualify for the role you must have

                    -
                    • Should have S/4 HANA LTMC and LTMOM experience, Experience in Syniti ADM is a bonus
                    • Minimum 4-5 years of experience in SAP Data Migration LTMC and LTMOM Technical load and trouble shoot experience
                    • Prior experience with Syniti ADM is preferred.
                    • Prior experience in migrating master Data objects like Materials, Business Partner ( Customer/Supplier) , PIR, BOM,
                    • Including expertise in Data Migration including Extraction, Transformation, Cleansing and Loading (ETL) from Legacy systems to S4 HANA.
                    • In-depth understanding of Data Cleansing, Mapping and Conversion rules, writing extraction and load programs.
                    • Deep understanding of Data validation techniques and familiarity with creation of SAP Queries
                    • -
                    -


                    Ideally, you’ll also have

                    -
                    • Prior consulting experience and a demonstrated history of driving revenue within existing clients and in developing new prospects at the ""C"" level of Fortune 500 companies.
                    • -
                    -


                    What we look for

                    -

                    -

                    We are looking for an individual who combines experience leading SAP projects with an aptitude for driving sales pursuits and for helping grow our business. We are looking for someone with strong vision and drive and with a desire to stay on top of trends. We are looking for someone who is passionate about SAP, project management and developing and managing high-performing teams.

                    -

                    -

                    What we offer

                    -

                    -

                    At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

                    -

                    -

                    We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

                    -
                    • Support and coaching from some of the most engaging colleagues in the industry
                    • Learning opportunities to develop new skills and progress your career
                    • The freedom and flexibility to handle your role in a way that’s right for you
                    • -
                    -


                    Diversity and Inclusion at EY

                    -

                    -

                    Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. From our actions to combat systemic racism and our advocacy for the LGBT+ community to our innovative Neurodiversity Centre of Excellence and Accessibility initiatives, we welcome and embrace the diverse experiences, abilities, backgrounds and perspectives that make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                    -
                    -
                    EY | Building a better working world
                    -
                    -
                    EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
                    -
                    -
                    Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
                    -
                    -
                    Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
                    ",,https://careers.ey.com/ey/job/Toronto-SAP-Senior-Consultant-Data-Migration-ON-M5H-0B3/891805201/,feed-importer@jobboard.io,,,,2023-02-18T19:56:43.274Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/188134647-sap-senior-consultant-data-migration-at-ey,https://careers.ey.com/ey/job/Toronto-SAP-Senior-Consultant-Data-Migration-ON-M5H-0B3/891805201/,expired,2023-01-18T17:37:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, -8654b6ad-afb5-4806-a727-6ffcd48ed00b,188134381,Borealis AI,Research Director,on_site,"Ontario, Canada",2023-01-18T17:27:02.336Z,"
                    -

                    What’s the opportunity?

                    -

                    Borealis AI is looking for a Research Director. The role includes directing a team of machine learning researchers and managing other research team leads with the goal of delivering AI-based products for the financial services industry. In addition, you will provide leadership and deliver on initiatives that improve the effectiveness of the entire research organization.

                    -

                    Your responsibilities include:

                    -
                      -
                    • To join the Borealis AI research leadership team and shape the research organization as a whole and contribute to its overall performance.
                    • -
                    • To work with the Borealis AI business development team to identify viable artificial intelligence products that will add significant value to RBC stakeholders.
                    • -
                    • To lead a team of machine learning researchers delivering cutting edge AI technology to support these products.
                    • -
                    • To partner with Borealis AI’s product and engineering teams to ensure the seamless delivery of these products.
                    • -
                    • To manage other research team leads and provide guidance and support.
                    • -
                    • To help recruit, mentor and retain a high-performing research team across Borealis AI.
                    • -
                    -

                    You’re our ideal candidate if you have:

                    -
                      -
                    • A Ph.D. degree in Computer Science or a related technical field;
                    • -
                    • 10 years of experience leading research teams in machine learning in a product-centric environment or equivalent experience;
                    • -
                    • A track record of successful people management including mentoring junior researchers and engineers, experienced high-performance researchers, and research managers;
                    • -
                    • Experience delivering successful high-impact machine learning products
                    • -
                    • Involvement across the research and development lifecycle, from prototyping to production, engaging with stakeholders to develop solutions that meet business needs;
                    • -
                    • Broad research interests and detailed knowledge of cutting edge machine learning techniques across multiple areas;
                    • -
                    • The ability to formulate and drive multiple research projects independently;
                    • -
                    • Exceptional communication and leadership skills;
                    • -
                    • A history of high quality academic publications (e.g., NeurIPS, CVPR, AISTATS, ICLR, ICML etc.) and community recognition for excellence;
                    • -
                    -

                    What\'s in it for you?

                    -
                      -
                    • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                    • -
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                    • -
                    • Ability to make a difference and lasting impact from a local-to-global scale
                    • -
                    -

                    About Borealis AI

                    -

                    Borealis AI, a RBC Institute for Research, is a research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                    -

                    Inclusion and Equal Opportunity Employment

                    -

                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                    -

                    -
                    ",,https://www.borealisai.com/careers/?gh_jid=6466710002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-02-18T19:54:04.061Z,False,0,1,16,https://talenthub.vectorinstitute.ai/jobs/188134381-research-director-at-borealis-ai,,expired,2023-01-18T17:27:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,PhD,New Posting, -15068c90-447d-4616-8223-0ddda73661d4,197102969,Scotiabank,"Senior Manager, Data Analytics - CID&A",on_site,Canada : Ontario : Toronto,2023-02-16T17:22:01.928Z,"

                    -

                    -

                    -

                    -

                    Requisition ID: 173538

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    -

                    Purpose:

                    -


                    Join a purpose-driven team, committed to achieving a once-in-a-lifetime transformation of Canada’s most international bank. Scotiabank is on an epic journey to migrate all its global data and analytics platforms to the cloud—and you could help us make it happen!

                    -


                    As a member of the Customer Insights, Data & Analytics (CIDA) team, the Senior Manager of Program Portfolio Management, Enterprise Data & Analytics Platform Transformation is responsible for the design and execution of critical program strategy, governance and reporting processes, tools and assets. A critical element of success for this role is the ability to tell compelling stories for crystal clear and concise communication of program achievements, progress, and roadblocks to all stakeholders—at every level of the organization (from Executive to working teams). The incumbent will have the opportunity to:

                    -


                    • Apply strategic thinking, problem-solving and compelling storytelling to create impactful reporting, communications and narratives to help drive decision-making and change management.
                    • Be empowered to lead and have an impact on a highly complex, fast-paced and global transformation journey as part of a high-performing team of data, analytics and infrastructure (cloud & legacy technology) experts.
                    • Work collaboratively with diverse stakeholder groups across Scotiabank to solve problems and deliver practical solutions to difficult challenges.
                    • Learn from deep subject matter experts and industry leaders through mentoring, networking, on the job coaching and bespoke data, analytics and cloud training.
                    • Gain visibility to senior and Executive management at Canada’s most international bank while working in a supportive and flexible work environment/team.
                    The candidate should be customer and results focused, have keen analytical interest and the ability to impact and influence. This individual should be energized operating within a dynamic and fast-paced environment and find deep satisfaction from building effective solutions to difficult problems.

                    -

                    -

                    Key Accountabilities:

                    -


                    • Support the strategy, governance, and implementation of the multi-year cloud transformation program across all geographies and business units.
                    • Provide effective and pragmatic program management, delivery and storytelling expertise to simplify program messaging and narratives.
                    • Establish and maintain the overall program roadmap and related assets, processes, methodologies and accelerators.
                    • Collaborate with cross-functional program stakeholders to complete planning and prioritization activities and to drive alignment across global and local roadmaps and project plans.
                    • Contribute to the design, build and ongoing improvement of effective governance, reporting & communications processes, templates, and tools.
                    • Coordinate regular program governance and reporting forums and processes including project/program tracking, reporting and escalations/issues management (e.g., RAID log).
                    • Proactively identify, report and escalate program issues, challenges and risks and collaborate with internal/external teams to understand business needs and facilitate agile problem solving.
                    • Help drive decision-making and accountability by supporting cross-functional executive and senior management forums to align on opportunities, challenges and required actions.
                    • Support and contribute to the team’s development and dissemination of key program deliverables, collateral, reporting, and communications.
                    • Effectively communicate and build rapport with team members, stakeholders and partners across both technology and business functions.
                    • Navigate complex organizational and stakeholder challenges, constraints, and roadblocks to effectively achieve the program’s objectives.
                    • Maintain a culture of exceptional customer service and cultivate an internal brand as a leading program advisor.
                    • Foster an environment of continuous personal growth.

                    -

                    -

                    Qualifications:

                    -


                    • University Degree in business, engineering, or technology (MBA an asset), or equivalent.
                    • Minimum 3 years working in a program or project management, strategy or consulting role within the financial services industry (preferred).
                    • Strong project management skills with excellent track record managing projects/programs with high complexity and dealing with multiple stakeholders.
                    • Robust knowledge of and ability to apply business strategy, planning, and relationship management as well as evaluate and execute change activities.
                    • Superior communication skills including effective storytelling and stakeholder management in an Enterprise transformation context.
                    • Excellent written, verbal and presentation skills in English and Spanish; ability to summarize complex ideas in very simple but accurate terms.
                    • Tenacious problem-solving skills and an ability to work with ambiguity to advance deliverables.
                    • Ability to work flexibly and prioritize in a fast-paced and deadline-driven environment; resourceful and determined about getting the job done with excellent teaming skills.
                    • Ability to identify, manage and collaborate with multiple stakeholders across a global footprint.
                    • Ability to make an impact, influence and achieve results with effective negotiation, problem-solving and communication skills.
                    • Knowledge of risk management environment, standards and regulations within a financial services organization.
                    • Ability to adapt and pivot within a team environment to changing program requirements.
                    • Strong organizational skills and meticulous attention to detail.
                    • Thorough working knowledge of Microsoft Office suite; superior PowerPoint and Excel skills (Confluence, JIRA and SharePoint skills are an asset).
                    • Knowledge of cloud data platforms, capabilities, and trends is an asset (but not required).

                    -

                    -

                    -

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Analytics-CID&A-ON-M5C2V9/567820817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-20T17:27:02.981Z,False,0,2,5,https://talenthub.vectorinstitute.ai/jobs/197102969-senior-manager-data-analytics-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Analytics-CID&A-ON-M5C2V9/567820817/,expired,2023-02-16T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -be6ddd18-93dc-4cec-bc14-1fa7a48a3496,197093996,CIBC,"Senior Consultant, Data Science & Analytics",on_site,"Ontario, Canada",2023-02-16T17:06:04.549Z,"
                    -

                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                    -

                    -

                    At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                    -

                    -

                    To learn more about CIBC, please visit CIBC.com

                    -

                    -

                    Job Description

                    -

                    -

                    What you\'ll be doing:

                    -

                    Fraud Management & Fusion Centre manages operational risk for Retail and Business Banking by detecting, preventing and investigating fraud while effectively balancing client impact.

                    -

                    The Senior Consultant, Data & Analytics will be responsible for reviewing, investigating, analyzing, and corelating data to develop insights in support of High value cases with implications across Fraud, Cyber Security, and Corporate security. You will liaise with internal security partners & relationship management teams to confirm suspicious payments, patterns, and trends with clients. The role proactively investigates and recommends effective and efficient solutions and/or potential use cases that close gaps within existing Detection & Monitoring processes.

                    -

                    The role also identifies and assesses emerging loss trends and provides consultation/advice on operational risk exposure for new initiatives and product offerings.

                    -

                    At CIBC we enable the work environment most optimal for you to thrive in your role you’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote

                    -

                    -

                    How You’ll Succeed

                    -
                      -
                    • Leverage data (transactional, behavioral, system, etc.) to prepare analysis, develop insights, and implement models/rules to improve detection

                    • -
                    • Use fraud, cyber security, corporate security, and product knowledge to detect suspicious or fraudulent transactions and patterns with a high degree of accuracy and proactively identifying recovery opportunities in order to mitigate significant financial and reputational impacts to the bank.

                    • -
                    • Proactively identify trends, triggers, and opportunities for strategic solutions and use cases to improve detection & response to Cyber/Fraud/Corporate security events

                    • -
                    • Prepare summaries and reports for review by respective business leaders including notifications, status updates, and recommendations related to risk & loss prevention.

                    • -
                    • Perform in depth root cause analysis to identify any potential gaps within CIBC policy and procedures

                    • -
                    • Identify and assess patterns and high value cases, and make recommendations for production implementation to resolve systematic issues and limit false positives.

                    • -
                    • Manage relationships with multiple internal and external partners in order to effectively investigate incidents and identify opportunities

                    • -
                    • Investigation of complex problems, using good judgment and making sense of information, and communication of findings and detailed information in an impactful way.

                    • -
                    • Lead the fusion investigation process by working with internal clients and business partners

                    • -
                    • Maintain productive relationships and effectively collaborate with internal and external stakeholders to identify solutions and implement new processes

                    • -
                    • Champion CIBC vision and values, and provide support in a manner consistent with the highest quality standards and CIBC objective

                    • -
                    -

                    -

                    Who You Are

                    -
                      -
                    • You can demonstrate hands-on experience in developing and testing statistical and predictive models

                    • -
                    • You can also demonstrate hands-on experience with Python, AI/ML Frameworks, SAS, Cloud along with an advanced knowledge and experience with data exploration through business intelligence (BI)/User interfaces & SQL.

                    • -
                    • Data Governance: Effective application of data governance policies and guidelines.

                    • -
                    • Analytical Thinking & Problem solving: Strong ability to tackle a problem by using logical systemic, sequential approach in support of problem solving, decision making and priority setting.

                    • -
                    • File Management: Strong Ability to understand, monitor, update or enhance existing portfolio maintenance.

                    • -
                    • Risk Management: Deep Knowledge of process, tools and techniques for assessing and controlling operational and reputational risk.

                    • -
                    • Effective Communication: Strong Ability to effectively transmit, receive and accurately interpret ideas, information, and communicating effectively with diverse audiences, using appropriate techniques.

                    • -
                    • Leadership: Strong Ability to work with a group to set objectives, generate allegiance and guide and negotiate dialogues.

                    • -
                    • Relationship Management: Strong Ability to establish and build healthy working relations and partnerships with clients, peers and business partners

                    • -
                    -

                    -

                    What CIBC Offers

                    -

                    At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                    -
                      -
                    • Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home

                    • -
                    • Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity

                    • -
                    • Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning and comprehensive product training

                    • -
                    • Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan

                    • -
                    -

                    **Prior to starting in this role, security checks, including a criminal record check must be successfully completed to the satisfaction of CIBC. An annual criminal record check may also be required.

                    -

                    -

                    What you need to know

                    -
                      -
                    • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                    • -
                    • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                    • -
                    -

                    -

                    -

                    -

                    -

                    -

                    Job Location

                    Toronto-CC East 12th Floor

                    Employment Type

                    Regular

                    -

                    Weekly Hours

                    37.5

                    Skills

                    -

                    Analytical Thinking, Business Analysis, Business Intelligence (BI), Communication, Critical Thinking, Innovation, Python (Programming Language), Structured Query Language (SQL)
                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Consultant--Fusion-Insights_2239691?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-02-20T17:11:02.967Z,False,0,5,9,https://talenthub.vectorinstitute.ai/jobs/197093996-senior-consultant-data-science-analytics-at-cibc,,expired,2023-02-16T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -07852484-c73a-4713-a0e7-d135bebb5536,205615379,BMO Financial Group,Senior Manager: Predictive Analytics & Intelligence,on_site,"Ontario, Canada",2023-03-17T17:12:02.616Z,"
                    -

                    Address:

                    VIRTUAL59 - HomeRes - ON - BMO

                    -

                    -

                    Job Family Group:

                    Data Analytics & Reporting

                    -

                    -

                    -

                    -

                    Performs sophisticated data analytics (fraud) to explore and identify known or previously unidentified criminal behaviors among customer groups across BMO. Applies knowledge of advanced analytics algorithms and technologies to develop analytic solutions and support decision making. Develops and implements the strategies for technology as related to business requirements. Acts as a subject matter expert on BMO data and data modelling for criminal risk mitigation to guide management programs and investigation activities. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

                    -
                      -
                    • Manages people and leads a team capable of delivering the desired business results to mitigate organized crimes.
                    • -
                    • Applies scripting / programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                    • -
                    • Acts as a subject matter expert on relevant regulations and policies.
                    • -
                    • Network with fraud industry contacts to gain competitive insights and best practices on fraud intelligence
                    • -
                    • Ensures alignment between analytics, business and technical sides of strategies to improve performance and effectiveness within EFM.
                    • -
                    • Conducts independent analysis and assessment to resolve strategic issues.
                    • -
                    • Uses the appropriate algorithms to discover patterns.
                    • -
                    • Breaks down strategic problems, and analyses data and information to provide insights and recommendations.
                    • -
                    • Leads/participates in the design, implementation and management of core fraud business/group processes.
                    • -
                    • Identifies and understands new and emerging patterns of fraud, both external and internal.
                    • -
                    • Identifies and acquires appropriate data for fraud analysis based on knowledge of BMO product, data warehouse systems and architectural linkages.
                    • -
                    • Develops complex technical rules/ scenarios to maximize the effectiveness of fraud detection and prevention programs.
                    • -
                    • Applies statistical, data mining and pattern analysis techniques to determine relationships between transactions, customer data and known/predicted fraudulent behaviours.
                    • -
                    • Summarizes statistical findings, draws conclusions and presents actionable business recommendations.
                    • -
                    • Manages risk and minimizes losses through monitoring, controlling, audits and verifications in accordance with compliance requirements, policies, procedures and regulations.
                    • -
                    • Provides leadership and oversight on the identification, analysis and resolution of issues, recommending appropriate courses of action and creating solutions.
                    • -
                    • Supports development and execution of strategic initiatives in collaboration with stakeholders.
                    • -
                    • Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
                    • -
                    • Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
                    • -
                    • Implements changes in response to shifting trends.
                    • -
                    • Broader work or accountabilities may be assigned as needed.

                      Qualifications:

                      -
                    • -
                    • Typically 7+ years of relevant experience and a Masters degree in related field of study.
                    • -
                    • Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience.
                    • -
                    • Advanced knowledge of fraud and security management.
                    • -
                    • Advanced knowledge of Statistical Analyses and Human Behavior Modeling.
                    • -
                    • Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, , Perl) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
                    • -
                    • Seasoned professional with a combination of education, experience and industry knowledge.
                    • -
                    • Verbal & written communication skills - Indepth / Expert.
                    • -
                    • Analytical and problem solving skills - Indepth / Expert.
                    • -
                    • Influence skills - In-depth / Expert.
                    • -
                    • Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.
                    • -
                    • Able to manage ambiguity.
                    • -
                    • Data driven decision making - In-depth / Expert.
                    • -
                    -

                    -

                    -

                    We’re here to help

                    -

                    -

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    -

                    -

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    -

                    -

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    -

                    -

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    -

                    -

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    -
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Virtual-ON-CAN/Senior-Manager--Predictive-Analytics---Intelligence_R230002225?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-03-21T14:50:00.000Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/205615379-senior-manager-predictive-analytics-intelligence-at-bmo-financial-group,,expired,2023-03-17T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Masters Degree,New Posting, -8378f324-e924-47c6-9840-8c051fc4b010,204324029,Shopify Inc.,"Senior Staff Engineer, Bulk Data Management",on_site,"Ontario, Canada",2023-03-13T17:42:04.210Z,"

                    About the role

                    -

                    As a Senior Staff Engineer for our Bulk Import/Export and Snapshot/Restore mission, you’ll oversee the technical design of our new bulk import/export primitives and their extension to 1st and 3rd party solutions in a variety of use cases, while working with multiple teams and disciplines across Shopify. You will drive vision through to implementation, including technical design and hands-on development of high quality code. Additionally, you will contribute to creating and fostering a culture of collaboration and knowledge, as a mentor to other engineers.

                    -

                    Intrigued? Here’s more information about the problem space and the role.

                    -

                    Bulk Data Management

                    -

                    Increasingly, our merchants and partners are looking for highly-performant, and easy-to-use solutions for managing their bulk commerce data. Our largest merchants have stores with millions of products, customers, and orders. We’re investing in new primitives and solutions in this space in order to support our merchants and partners with their bulk data management needs at scale. Broadly speaking, Bulk Data Management in this context includes but is not limited to efficiently importing commerce data into a new or existing store (and reconciling any differences), exporting data to and/or syncing with 3rd-party systems, pre-populating test stores, empowering app developers with better import/export primitives, and enabling merchants to version and manage drafts of changes to their stores.

                    -

                    At Shopify, we hire Engineers with a passion for solving tough problems with performant code work on teams that ship on quality instead of on time. Our teams deploy new code many times a day, and our production scale is massive. We’re talking millions of online stores, and hundreds of millions of requests a day. Thousands of entrepreneurs will see your work within seconds – a difficult but incredibly rewarding responsibility. Shopify is the largest Ruby on Rails application in the world and we\'re a big part of the Rails community. We’re constantly improving our codebase to make it even better.

                    -

                    What you’ll do as a Senior Tech Lead Engineer at Shopify:

                    -
                      -
                    • Learn and grow constantly to feed your passion for self-improvement and make those around you better
                    • -
                    • Design and build highly available, resilient and scalable platform primitives & API
                    • -
                    • Work through problems with your team, roll up your sleeves, form an opinion and advocate for engineering-specific roadmap items
                    • -
                    • Collaborate with other Shopify leaders, executives and external partners to provide the best commerce experience for our merchants
                    • -
                    -

                    Qualifications

                    -
                      -
                    • A proven track record of strong technical mentorship and influencing the technical direction for sizeable technical organizations is a must
                    • -
                    • Experience building large scale, high throughput distributed systems and scaling web services, particularly those using and analyzing large amounts of data
                    • -
                    • High level of fluency with and experience using technologies like (but not limited to) Ruby on Rails & GraphQL - or deep experience with any object-oriented language and relevant transferable technologies
                    • -
                    • Experience with bulk data management using SQL and ORMs (eg: ActiveRecord)
                    • -
                    • Fluency with version control system design concepts and best practices
                    • -
                    • Experience with ETL concepts and technology, including techniques in efficient data transformation
                    • -
                    • Familiarity with Google Cloud Platform data storage technologies
                    • -
                    • A passion for efficiency and collaboration, with a history of establishing great relationships with UX and Product Management teams across time zones
                    • -
                    • A commitment and drive for quality, technical excellence and results
                    • -
                    • Curiosity and passion to constantly learn new things; Shopify changes fast, and we need the people who work here to be able to change and learn fast too
                    • -
                    • Proficiency in systems thinking and systems design concepts like transactions, atomicity, idempotency, etc.
                    • -
                    • Raise the quality and speed (team efficiency) bar and move the platform into a position of maximum leverage
                    • -
                    • Use the right tool for the job, fix problems are the right level of abstraction and optimize to meet both functional and non-functional goals
                    • -
                    -

                    We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort. And remember, we want to know what you’re really interested in building and why you want to build it at Shopify, so please give us as much detail on this as you’d like in the answers on the next page. 👍 📖

                    -
                    ",,https://www.shopify.com/ca/careers/senior-staff-engineer-bulk-data-management_f640bebc-6e85-49d1-8241-73017c8143af,feed-importer@jobboard.io,,,,2023-03-21T15:42:00.000Z,False,0,1,14,https://talenthub.vectorinstitute.ai/jobs/204324029-senior-staff-engineer-bulk-data-management-at-shopify-inc,,expired,2023-03-13T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, -eff2ba1b-854b-4253-8bef-e7f0fb3179ff,204323263,TD Bank Group,Data Scientist,on_site,"Toronto, ON",2023-03-13T17:24:02.648Z,"
                    +
                    +

                    Awareness. Unity. Empowerment.

                    +
                    +

                    At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                    +

                    +

                    #LI-Hybrid

                    +
                    +
                    +
                    ",,https://jobs.magna.com/job/AURORA-Data-Scientist-ONTA-L4G-3M7/564241617/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2022-12-21T15:15:39.791Z,False,0,4,67,https://talenthub.vectorinstitute.ai/jobs/168845884-data-scientist-at-magna-international,https://jobs.magna.com/job/AURORA-Data-Scientist-ONTA-L4G-3M7/564241617/,expired,2022-11-19T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Manufacturing ,Associate,PhD,New Posting, +0318e751-4cc3-43a9-a94d-4cc179d8e7f3,172489045,TD Bank Group,Data Scientist III,on_site,"Toronto, ON",2022-12-01T17:24:02.709Z,"

                    Company Overview

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    @@ -112292,129 +119773,89 @@ eff2ba1b-854b-4253-8bef-e7f0fb3179ff,204323263,TD Bank Group,Data Scientist,on_s

                    Department Overview

                    What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                    -

                    As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                    -

                    TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                    +

                    As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                    +

                    TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                    +

                    We are on a journey to enable Environmental, Social, and Governance (ESG) at TD with a Climate Data Solution, that will blend internal and externally sourced data to deliver on key Climate priority areas and use-cases. As a part of this new team, with an enterprise mandate, you will be on the leading edge of the TD ESG journey to enable scale, competency, and business solutions through data and analytics.

                    Job Description

                    -

                    Delivery

                    -
                      -
                    • Broad technical skills in all facets of data science: advanced analytics, statistical modelling, machine learning & data engineering
                    • -
                    • Build complex statistical models that learn from and scale to petabytes of data.
                    • -
                    • Parse vast data, identify needs and analytics trends, employs industry leading techniques and theories to improve business practices across the enterprise
                    • -
                    • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core deliverables
                    • -
                    • Accountable to lead & deliver complex, Agile, cross-functional projects that range widely in design, size, scale, scope and techniques
                    • -
                    • Self-directed with the ability to progress strategic opportunities in down times and effectively prioritize in busy times
                    • -
                    -

                    Expertise & Leadership

                    +

                    +

                    About this Role

                    +

                    For this role, we’re counting on your intensive technical leadership to forge our path moving forward. As an emissary of the crucial nature of data science, you’ll work in close proximity others across the bank to identify and pursue new opportunities wherever they lie. You’ll play a crucial role on cross functional teams of data scientists, data and IT engineers and business process owners to build out and implement world-class analytic solutions enterprise wide. You can handle just how much data TD has, and cannot wait to help build statistical models that scale to them.

                    +

                    We are looking for someone to help parse our vast data and identify needs and analytical trends employing industry leading techniques and theories to improve TD’s business practices enterprise wide.

                    +

                    As a Data Scientist III, these are the essential qualifications of this role:

                      -
                    • Analytical thought leadership and stay current on developments in data mining and the application of data science
                    • -
                    • Serve as an authority on a given business domain and provide business expertise to place context around analytics discovery
                    • -
                    • A champion in the D&A community for TD’s platforms and strategies, scanning for cutting edge solutions, and proactively identifying opportunities to advance tools, techniques and approaches
                    • -
                    • Communication and Stakeholder Management
                    • -
                    • Work closely with stakeholders to identify opportunities, implement solutions, and serve as an ambassador for data science across the enterprise
                    • -
                    • Advanced communication, business acumen and stakeholder management competencies
                    • -
                    • Collaborate with support functions such as risk, technology, model validation, OCDO etc. to increase the velocity of data science by enhancing policies, protocols & procedures within TD’s risk appetite
                    • -
                    • Exceptional collaborator in a high-interaction environment
                    • -
                    • Foresee needs from business partners to prescribe effective solutions
                    • -
                    • Leverage empirical evidence and facts to influence/support decision making
                    • -
                    • Collaborate with business partners to inform analytics output, support strategic planning, and prioritize key initiatives
                    • -
                    • Take ownership of team targets and strategies such as value generation and contribute to the overall management and culture of the team
                    • +
                    • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core deliverables
                    • +
                    • Work closely with business owners to find opportunities and serve as an ambassador for data science
                    • +
                    • Design and deliver enterprise analytic solutions for customers
                    • +
                    • Develop powerful business insights from social, marketing and industrial data using advanced machine learning techniques
                    • +
                    • Build complex statistical models that learn from and scale to petabytes of data.
                    • +
                    • Analytical thought leadership and stay current on developments in data mining and the application of data science
                    • +
                    • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
                    • +
                    • Generally accountable for a significant business management area that typically has enterprise wide impact or accountability
                    • +
                    • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels

                    Requirements

                    -What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    + What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                      -
                    • Ability to translate business requirements into technical and analytical tasks
                    • -
                    • Demonstrated track record of leading major data science projects [or demonstrate ability]
                    • -
                    • Technical understanding and critical thinking to challenge status quo
                    • -
                    • Strong problem-solving skills, mathematical and data literacy
                    • -
                    • Flexibility to adapt and run with contending priorities and the ability to shift focus as dynamic business needs evolve
                    • -
                    • Strong interpersonal and communication skills, both written and verbal ability to tell a compelling story which can be consumed by business partners/executives
                    • -
                    • Demonstrated experience in data transformation and data manipulation.
                    • -
                    • Aspirations to build in-depth industry and retail banking knowledge including current trends in data, analytics and technology
                    • -
                    • Master’s degree or PhD in relevant fields; Mathematics, Physics, Biotech, Computer Engineering, Electrical Engineering, Geomatics
                    • -
                    • Expert proficiency with industry data tools; python/Ruby, R, SQL and Scala, cloud architecture
                    • -
                    • Strong understanding of data manipulation and visualization techniques, with preference to Esri – ArcGIS, Alteryx, SQL and Excel
                    • -
                    • Experience with big data tools, such as SCALA, SPARK, HADOOP, HDFS, HIVE, etc.
                    • -
                    • Experience with machine learning including supervised and unsupervised models.
                    • +
                    • Undergraduate degree or technical certificate
                    • +
                    • Ten (10) or more years of relevant experience

                    -

                    Additional Information

                    -
                    -#datascientist #LI-Hybrid

                    -

                    Locations:
                    Toronto
                    Montreal
                    Markham
                    London
                    Ottawa

                    -

                    * L7- L10

                    -
                    -

                    Hours

                    37.5

                    Inclusiveness

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -
                    ",,https://jobs.td.com/en-CA/jobs/15700638/data-scientist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-23T17:29:03.304Z,False,0,22,99,https://talenthub.vectorinstitute.ai/jobs/204323263-data-scientist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15700638/data-scientist-toronto-ca/,expired,2023-03-13T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -4831080b-d4b8-4f23-a60c-e9e75360f8f5,205317337,BMO Financial Group,"Manager, Modelling & Analytics",on_site,"Ontario, Canada",2023-03-16T17:12:02.317Z,"
                    +
                    ",,https://jobs.td.com/en-CA/jobs/16981948/data-scientist-iii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-12-22T16:46:00.000Z,False,0,1,19,https://talenthub.vectorinstitute.ai/jobs/172489045-data-scientist-iii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16981948/data-scientist-iii-toronto-ca/,expired,2022-12-01T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +efc29aa5-e9df-46d8-994f-22b0966ebb4f,179641765,BMO Financial Group,Senior Data Engineer,on_site,"Ontario, Canada",2022-12-21T17:12:03.694Z,"

                    Address:

                    100 King Street West

                    Job Family Group:

                    Data Analytics & Reporting

                    -

                    Supports the research and development of quantitative risk modeling methodologies and related strategies in support of the management of risks arising from business/group portfolios and products. Applies knowledge of analytics algorithms and technologies to develop forward looking models and analytic solutions that ensure risks are properly identified, understood and risk related strategies are enabled. Summarizes statistical findings, draws business conclusions, and presents actionable business recommendations used in the management of risks and related activities e.g. associated internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations. Drives innovation through the development of data products that can be leveraged across the organization and establishes best practices as well influences data governance guidelines and policies. May specialize in one or more risk categories e.g. Credit Risk, Market Risk, Interest Rate Risk, etc.

                    +

                    Who We Are:

                    +

                    BMO’s North American Commercial Banking serves clients across North America and commercial bankers are trusted advisors and partners to their clients, delivering sector and industry expertise, local presence and a full suite of commercial products and services.

                    +

                    +

                    BMO North American Commercial Bank is looking to build out a data engineering and model ops team.

                    +

                    +

                    What You’ll Do

                    +

                    You\'ll consult with data scientists, the data and analytics teams, technology partners, business partners to create pipelines, governance and solutions that impact a variety of model ops, data and insight challenges across the North American Commercial Bank. You’ll wrap model ops and analytics in clean, repeatable, and automated processes. You’ll play a critical role in elevating business stakeholders’ confidence in our data. More specifically you will:

                      -
                    • Acts as a trusted advisor to assigned business/group.
                    • -
                    • Influences and negotiates to achieve business objectives.
                    • -
                    • Recommends and implements solutions based on analysis of issues and implications for the business.
                    • -
                    • Assists in the development of strategic plans.
                    • -
                    • Identifies emerging issues and trends to inform decision-making.
                    • -
                    • Supports the execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • -
                    • Helps determine business priorities and best sequence for execution of business/group strategy.
                    • -
                    • Conducts independent analysis and assessment to resolve strategic issues.
                    • -
                    • Automates validation tests to improve quality and efficiency of the validation process.
                    • -
                    • Identifies emerging issues and trends to inform decision-making.
                    • -
                    • Builds effective relationships with internal/external stakeholders.
                    • -
                    • Ensures alignment between stakeholders.
                    • -
                    • Cleanses, manipulates, and transforms data through programming/scripting for model training and validation.
                    • -
                    • Conducts various pre-implementation and post-implementation analyses to estimate/measure business impact caused by model adoption (e.g., revenue increase, cost reduction, corporate brand image).
                    • -
                    • Provides input into the planning and implementation of operational programs.
                    • -
                    • Executes work to deliver timely, accurate, and efficient service.
                    • -
                    • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • -
                    • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                    • -
                    • Works with stakeholders to identify the business requirements, understand the distinct problems, and the expected outcome and models and frames business scenarios which impact critical business processes and/or decisions.
                    • -
                    • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
                    • -
                    • Applies scripting/programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                    • -
                    • Develops agreed analytical solution by applying suitable statistical techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, artificial intelligence) to test, verify, refine hypotheses.
                    • -
                    • Summarizes statistical findings and draws conclusions and presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                    • -
                    • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                    • -
                    • Performs experimental design approaches to validate finding or test hypotheses.
                    • -
                    • Uses the appropriate algorithms to discover patterns.
                    • -
                    • Builds effective relationships with internal/external stakeholders. Ensures alignment between stakeholders.
                    • -
                    • Supports development of tools and delivers training for data and analytics.
                    • -
                    • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • -
                    • Leads/participates in the design, implementation and management of core business/group processes.
                    • -
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                    • -
                    • Provides specialized consulting, analytical and technical support.
                    • -
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • -
                    • Works independently and regularly handles non-routine situations.
                    • -
                    • Broader work or accountabilities may be assigned as needed.

                      Qualifications:

                      -
                    • -
                    • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                    • -
                    • Data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS.
                    • -
                    • Relevant experience in risk, capital, and/or treasury management is preferred.
                    • -
                    • A professional designation in Finance or Risk management is preferred.
                    • -
                    • Post-secondary degree in Finance/Economics/Math required.
                    • -
                    • Professional designation in Finance or Risk management required.
                    • -
                    • Deep knowledge and technical proficiency gained through extensive education and business experience.
                    • -
                    • Verbal & written communication skills - In-depth.
                    • -
                    • Collaboration & team skills - In-depth.
                    • -
                    • Analytical and problem solving skills - In-depth.
                    • -
                    • Influence skills - In-depth.
                    • -
                    • Data driven decision making - In-depth.
                    • +
                    • Locate data sources and demystify data contents
                    • +
                    • Become the expert on the data sourced and used in the ML operations
                    • +
                    • Establish robust pipelines for data used in the execution of ML and Analytics programs
                    • +
                    • Ensure production behavioral scores and business metrics values align with expectations
                    • +
                    • Identify and explain deviations in metrics proactively. Set in motion paths for resolution
                    • +
                    • Clarify key business metrics. Code and implement these metrics at scale
                    • +
                    • Prepare modeling master data sets in collaboration with data scientists
                    • +
                    • Create insights and visualizations which answer high impact business questions
                    • +
                    • Prepare model validation documentation
                    • +
                    +

                    +

                    Qualifications

                    +
                      +
                    • Consultative approach engaging internal partners (e.g. data science, business, technology) desired
                    • +
                    • Experience impacting business transformation with data
                    • +
                    • Proven experience building data pipelines in production for advanced analytics use cases
                    • +
                    • Practical knowledge of software engineering concepts and best practices, inc. DevOps, DataOps, and MLOps
                    • +
                    • Proven ability to write clean, maintainable, scalable, and production ready code
                    • +
                    • Practical knowledge of software engineering concepts and best practices, inc. DevOps, DataOps, and MLOps
                    • +
                    • Strong proficiency with SQL and its variations among different databases
                    • +
                    • Skilled at optimizing large and complicated SQL statements
                    • +
                    • 4+ years production development experience
                    • +
                    • 6+ years of relevant work experience as a Data Operations Engineer
                    • +
                    • 6+ years of hands on experience in building production ETL/ELT solutions for large scale data pipelines
                    • +
                    • Familiarity with distributed computing frameworks (e.g. Spark, Dask), and analytics libraries (e.g. pandas, NumPy, matplotlib)
                    • +
                    • Familiarity with cloud platforms (e.g. AWS, Azure, GCP)
                    • +
                    • Degree in computer science, engineering, mathematics, or equivalent work experience

                    @@ -112429,89 +119870,43 @@ eff2ba1b-854b-4253-8bef-e7f0fb3179ff,204323263,TD Bank Group,Data Scientist,on_s

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    -
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Modelling---Analytics_R220026982?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-03-23T17:17:02.385Z,False,0,1,14,https://talenthub.vectorinstitute.ai/jobs/205317337-manager-modelling-analytics-at-bmo-financial-group,,expired,2023-03-16T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -10f2397b-6e14-44fd-b718-54d526532df9,205321263,Sun Life Financial,Senior Analytics Consultant,on_site,"Ontario, Canada",2023-03-16T17:41:03.297Z,"
                    -

                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                    -

                    -

                    -

                    Job Description:

                    -

                    Are you someone who is passionate about data, with superior analytical, data exploration, modeling, and visualization skills? If so, consider applying your skills and experience to a Senior Analytics Consultant position in the Canadian Operations Business Analytics team.

                    -

                    -

                    Reporting to the Director, Analytics Solutions, the Senior Analytics Consultant will lead the development of innovative analytics solutions including transformation processes and complex data models that form the core of a new generation of analytics services and self-serve solutions for our customers in Canadian Operations.

                    -

                    -

                    Our growing mandate to deliver data analytics, artificial intelligence and data solutions requires an experienced data consultant to accelerate the development of our strategic analytics projects in support of our business stakeholders.

                    -

                    -

                    What will you do?

                    -
                      -
                    • Work directly with data engineers, business data analysts, data scientists and clients in Canadian Operations throughout the entire engagement life cycle including technical analysis, design, development, implementation, and consulting efforts

                    • -
                    • Maintain best practice standards for analysis and reporting at all levels including data governance, documentation, testing and visualization techniques

                    • -
                    • Lead and drive projects and assignments to completion, including project planning and estimates

                    • -
                    • Lead consultants in the team on various analytics projects

                    • -
                    • Facilitate group meetings of various sizes for solution design, decision making, problem-solving and solution implementation

                    • -
                    • Turn complex data into easy-to-understand visual insights that are aligned to business objectives

                    • -
                    • Enable visual storytelling through Tableau and visual analytics tools

                    • -
                    • Coach and grow new and interested community of developers and champions within the organization

                    • -
                    -

                    -

                    What will you need to succeed?

                    -
                      -
                    • Minimum undergraduate degree in Mathematics, Computer Science, Engineering or equivalent

                    • -
                    • -

                      3-5 years of experience in:

                      -
                        -
                      • SQL and other languages used in data manipulation

                      • -
                      • Tableau or other BI development experience and designing dashboards / decision enablement tools

                      • -
                      • Data warehousing principles and experience in design and/or development using dimensional modeling principles

                      • -
                      • Developing rich portfolio of design uses cases demonstrating excellent user experience

                      • -
                      • Experience leading analytics projects with stakeholders

                      • -
                      -
                    • -
                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Model-Ops---Data-Engineer_R220029828?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2022-12-22T17:17:02.633Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/179641765-senior-data-engineer-at-bmo-financial-group,,expired,2022-12-21T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +d65bbfbb-57d9-4829-9743-dc90354595c4,169909090,Borealis AI,Research Director,on_site,"Toronto, ON, Canada",2022-11-23T01:05:08.647Z,"

                    What’s the opportunity?

                    Borealis AI is looking for a Research Director. The role includes directing a team of machine learning researchers and managing other research team leads with the goal of delivering AI-based products for the financial services industry. In addition, you will provide leadership and deliver on initiatives that improve the effectiveness of the entire research organization.

                    +

                    Your responsibilities include:

                      -
                    • Good understanding of ELT/ETL processes and Microsoft SQL Server Analysis Services or equivalent technologies

                    • -
                    • Strong oral and written communication skills with experience in relating complex concepts to non-technical users, including presentation and storytelling with data

                    • -
                    • Visual design expertise with a solid understand of the best practices around dashboard and visual perception

                    • -
                    • End-to-End development experience and ability to create complex calculations including Level of Detail (LOD) expressions, action filters, user filters and implement advanced dashboard practices in Tableau

                    • -
                    • Solid understanding of how to consolidate and transform data to meaningful and actionable information

                    • -
                    • Ability to draw out meaningful business insights by synthesizing information from multiple sources

                    • -
                    • Demonstrated experience in development of analytics applications or data analysis, including insights development and communication to senior leadership

                    • -
                    • Bilingualism (French, English) required for Quebec only - interactions with English-speaking customers or partners

                    • +
                    • To join the Borealis AI research leadership team and shape the research organization as a whole and contribute to its overall performance.
                    • +
                    • To work with the Borealis AI business development team to identify viable artificial intelligence products that will add significant value to RBC stakeholders.
                    • +
                    • To lead a team of machine learning researchers delivering cutting-edge AI technology to support these products.
                    • +
                    • To partner with Borealis AI’s product and engineering teams to ensure the seamless delivery of these products.
                    • +
                    • To manage other research team leads and provide guidance and support.
                    • +
                    • To help recruit, mentor, and retain a high-performing research team across Borealis AI.
                    -

                    -

                    What will be good to have?

                    +

                    You’re our ideal candidate if you have:

                      -
                    • Experience with AWS Data Lake

                    • -
                    • Experience with R, Python, AWS Sage Maker

                    • -
                    • Experience with Agile or design-driven development of analytics applications

                    • -
                    • PMP and/or Scrum Master certification

                    • -
                    • Experience with optimization and tuning of large data extracts for Tableau

                    • -
                    • Tableau desktop and server certification

                    • -
                    • Knowledge of Insurance or Financial Services industry

                    • +
                    • A Ph.D. degree in Computer Science or a related technical field;
                    • +
                    • 10 years of experience leading research teams in machine learning in a product-centric environment or equivalent experience;
                    • +
                    • A track record of successful people management including mentoring junior researchers and engineers, experienced high-performance researchers and research managers;
                    • +
                    • Experience delivering successful high-impact machine learning products
                    • +
                    • Involvement across the research and development lifecycle, from prototyping to production, engaging with stakeholders to develop solutions that meet business needs;
                    • +
                    • Broad research interests and detailed knowledge of cutting-edge machine learning techniques across multiple areas;
                    • +
                    • The ability to formulate and drive multiple research projects independently;
                    • +
                    • Exceptional communication and leadership skills;
                    • +
                    • A history of high quality academic publications (e.g., NeurIPS, CVPR, AISTATS, ICLR, ICML etc.) and community recognition for excellence.
                    -

                    -

                    What’s in it for you?

                    +

                    What's in it for you?

                      -
                    • Competitive salary and bonus structure influenced by market range data

                    • -
                    • A friendly, collaborative, and inclusive culture

                    • -
                    • Being part of our analytics community, where we share best practices and broaden skill sets

                    • -
                    • Flexible Benefits from the day you join to meet the needs of you and your family

                    • -
                    • Pension, stock, and savings programs to help build and enhance your future financial security

                    • +
                    • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                    • +
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                    • +
                    • Ability to make a difference and lasting impact from a local-to-global scale.
                    -

                    -

                    The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                    -

                    -

                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                    -

                    -

                    Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                    -

                    -

                    At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                    -

                    -

                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                    -

                    -

                    Salary Range:

                    74,100/74 100 - 120,800/120 800

                    -

                    Job Category:

                    Advanced Analytics

                    -

                    Posting End Date:

                    22/03/2023
                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Analytics-Consultant_JR00077197?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-03-23T17:46:03.674Z,False,0,1,18,https://talenthub.vectorinstitute.ai/jobs/205321263-senior-analytics-consultant-at-sun-life-financial,,expired,2023-03-16T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -6d7fc530-8d6d-4236-a57e-7407d4945417,206569073,TD Bank Group,Senior Business Analyst Workday/Peoplesoft ( Data Integration),on_site,"Toronto, ON",2023-03-20T17:24:04.998Z,"
                    +

                    How to apply:

                    +

                    Please email your resume to mi.research@borealisai.com and include where you heard about this opportunity.

                    +

                    About Borealis AI

                    +

                    Borealis AI, a RBC Institute for Research, is a research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                    +

                    Inclusion and Equal Opportunity Employment

                    +

                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                    +

                    ",mi.research@borealisai.com,,huyen.mori@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-12-23T18:52:00.000Z,True,0,0,49,https://talenthub.vectorinstitute.ai/jobs/169909090-research-director-at-borealis-ai,,expired,2022-11-23T01:05:00.000Z,website-existing-job-slot,Enterprise (500+),Vector Quick Apply,Financial Services,Director,PhD,New Posting, +495443f8-ba54-4d60-8ef3-ddb8b476bec7,178993305,TD Bank Group,"Sr Mgr, Analytics & Insights",on_site,"Toronto, ON",2022-12-19T17:24:02.850Z,"

                    Company Overview

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    @@ -112520,787 +119915,244 @@ eff2ba1b-854b-4253-8bef-e7f0fb3179ff,204323263,TD Bank Group,Data Scientist,on_s

                    Department Overview

                    -

                    Business Information Management (BIM) at TD is part of a creative, enterprise-wide data and analytics ecosystem. Roles in BIM are highly professional and valued, specialized yet inter-connected and focused on making the availability of business information to designers, developers and decision-makers a priority, all with a united purpose to serve customers and continually build a better bank.

                    -

                    We’re looking for analytical and agile professionals who can merge and translate data into technology and business information, serving today’s business needs and setting in motion TD’s longer-term goals and strategic objectives. If you get data, its power and potential, we think you’ll love working at TD, where data knows no bounds and where your professional expertise will help to drive the business forward and take your own career to new heights.

                    +

                    What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                    +

                    We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                    Job Description

                    -

                    Are you an expert level business information analyst, equipped with both conceptual and practical expertise in business information management? If so, this role offers a hands-on and high-career growth opportunity to provide business technical leadership across a broad range of information management functions to support various areas of data and analytics.
                    Enjoy partnering with colleagues and directing data traffic? In this advanced professional role, you’ll work both independently and within teams as a senior data analyst. Colleagues and business partners will look to you to manage and direct activities related to impact analysis, design and support of business data management solutions, including larger projects.
                    As a Senior Business Information Management Analyst, you will:

                    +

                    +

                    About this Role

                    +

                    You’ll take the helm of a diverse, inclusive and collaborative group of Business Insights & Analytics Specialists. As a leader with vision and key representative of your team, you’ll bring your talent for relationship-building to the fore, working closely with business owners and other business partners. You’ll work together to master their business objectives then identify their data and information needs and opportunities for adding value to the business. From there, you will oversee the development of ongoing analytics projects and initiatives, using your vast expertise to walk them through the process and provide ongoing support. Most importantly, your leadership inspires leadership in others, as well as the drive to execute with speed and precision and help bring TD into the future of business.

                    +

                    +

                    As a Senior Manager, Analytics & Insights you will:

                      -
                    • Be the expert-level team analyst, considered an authority with in-depth knowledge and experience in data analysis and data migration as well as working knowledge of broader related areas in HR or Financial systems
                    • -
                    • Participate in Workday implementation activities including discovery, design, configuration, documentation, testing, and project review sessions related to data conversion activities
                    • -
                    • Facilitate data discovery workshops, downstream impact analyses and proactively manage stakeholder expectations
                    • -
                    • Lead projects of moderate to complex risk and data requirements; may lead end-to-end data conversion activities
                    • -
                    • Analyze and understand business and data requirements to develop complete business solutions (e.g. analysis of data models, entity relationship diagrams, data lifecycle management, governance, lineage, metadata and reporting elements)
                    • -
                    • Develop business requirements; design and implement complex business data information management frameworks
                    • -
                    • Apply automation and innovation on data platforms and on new development projects / initiatives
                    • -
                    • Conduct a range of data analyses, demonstrating your in-depth experience with very large datasets and big data technologies; assessing business information-related data requirements aligned to business needs and for specific data platforms, applications systems and servers
                    • -
                    • Partner and collaborate with business and technology partners to resolve data / application issues and ensure requirements delivery
                    • -
                    • Participate fully as a member of the project delivery team, support a positive work environment that promotes service to the business, quality and innovation and, ensure timely communication of issues/points of interest -
                    • +
                    • Oversee and lead a large and/or highly complex, and diverse analytics function for an area of significant risk, complexity or scope
                    • +
                    • Strategically partner with leadership teams on the management of the portfolio and financials, with deep industry, external/internal, enterprise knowledge, recognizing and anticipating emerging trends and; identifying operational efficiencies and opportunities with other business management /enterprise areas
                    • +
                    • Act as a “Single Point of contact’ for key Analytics initiatives including partnering with analytics teams and enterprise data and analytics capabilities
                    • +
                    • Act as analytics expert on advanced analytics projects, challenging analytical thinking and methodology
                    • +
                    • Facilitate key strategic discussions and provide thought leadership to executive audience (output may include strategic roadmap and/or deliverables/frameworks/short to long term goals etc.)
                    • +
                    • Set operational team direction and partner to execute on common goals
                    • +
                    • Manage teams of Business Insights & Analytics professionals/specialists
                    • +
                    • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                    • +
                    • Manage raised client issues or priorities and contact appropriate areas to resolve or minimize business problems/issues
                    • +
                    • Apply judgement, discretion and collaborate with internal partners to navigate and resolve ambiguous issues
                    • +
                    • Review and craft the presentation of insights for executive leaders/business partners to drive strategic improvement
                    • +
                    • Collaborate with business partners to shape and prioritize ad hoc analysis
                    • +
                    • Use data systems and various sources to ensure team is equipped to formulate well-defined solutions to solve business problems
                    • +
                    • Ensure team uses knowledge of data capabilities across the organization to build and deliver on business analytics and insights
                    • +
                    • Oversee the development, testing and ongoing analysis for a business line or functional area employing both internal and external data from various sources
                    • +
                    • Manage workload of analytics team; assigning data request to staff based on skills and development needs
                    • +
                    • Build understanding of big data and advanced analytics capability
                    • +
                    • Identify and articulate key LOB analytic needs and assist in accelerating their delivery
                    • +
                    • Oversee strategies to attract, motivate and retain a highly diverse, qualified and engaged team to fulfill current and future business needs, creating and sustaining a high performing inclusive culture

                    Requirements

                    -

                    What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    +What can you bring to TD?

                    +

                    Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    • Undergraduate degree or technical certificate
                    • -
                    • Five (5) or more years relevant experience implementing enterprise solutions with at least one full life cycle using Workday
                    • -
                    • Sound conceptual knowledge in your area of specialty
                    • -
                    • Fluent in one or two programming languages
                    • -
                    • Advanced analytical and problem-solving skills
                    • -
                    • Proficient knowledge of various data sources, tools and technologies used in preparing summaries/reports
                    • -
                    • In-depth knowledge of competitor and market trends
                    • -
                    • Proficient to analyze, organize and prioritize work while meeting multiple deadlines
                    • -
                    • Expertise in using analytical software tools, MS Office, data analysis methods and reporting techniques
                    • -
                    • Strong ability to work collaboratively and independently, communicate effectively (both speaking and writing), follow instructions/direction, and help building relationships across teams and functions
                    • -
                    • Act as a brand champion for our business area / function and TD, both internally and externally
                    • -
                    -
                    -

                    -

                    Additional Information

                    -
                      -
                    • Experience working with Workday or Peoplesoft
                    • -
                    • Data Migration and Data Integration
                    • -
                    -

                    -

                    Hours

                    -
                    37.5
                    -

                    -

                    Inclusiveness

                    -

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -

                    -
                    ",,https://jobs.td.com/en-CA/jobs/15245253/senior-business-analyst-workday-peoplesoft-data-integration-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-23T17:29:03.304Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/206569073-senior-business-analyst-workday-peoplesoft-data-integration-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15245253/senior-business-analyst-workday-peoplesoft-data-integration-toronto-ca/,expired,2023-03-20T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -f160adb6-0c0b-4bae-ae00-0ce6bba462b8,198034024,TD Bank Group,Senior Machine Learning Engineer (Layer 6),on_site,"Toronto, ON",2023-02-20T17:24:04.312Z,"
                    -

                    Company Overview

                    -
                    -

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    -

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    -
                    -

                    -

                    Department Overview

                    -
                    -

                    Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform.

                    -

                    Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 – Visual Relationship (winner in 2019).

                    -
                    -

                    -

                    Job Description

                    -
                    -

                    The Machine Learning Product Engineer team at Layer 6 focuses on building industry-leading data-centric systems and model delivery systems. Our solutions include data pipelines, feature data lake, systemic data validation and automation of key activities in model delivery including model validation, shakedown, inference, and maintenance.

                    -

                    We are looking for experienced Senior Machine Learning Product Engineers (Engineering Lead) who have worked under tight deadlines and guided teams towards successful deliveries. The ideal candidate is a master of coding and system design with track record of technical leadership. They also are experts in data engineering and/or machine learning.

                    -

                    The candidate will be the go-to person for data and model delivery. They will lead and coordinate efforts of members on the MLPE team to ensure best engineering practice in our systems. The candidate will interact with machine learning scientists, the infrastructure team and data sources team to develop systems that will satisfy the needs of machine learning projects.

                    -

                    What are your main responsibilities?

                    -
                      -
                    • Lead the design and implementation of complex data-centric solutions, including extremely complex and large data set verification, transformation and feature generation, to ensure continuous high-quality input for the model development

                    • -
                    • Lead the design and implementation of model delivery systems, including inference pipeline, automatic model validation reports generation, automatic model performance monitoring and model retraining, to ensure fast model productionization and reliable production system

                    • -
                    -
                      -
                    • Go-to person for data and model delivery within Layer 6

                    • -
                    • Lead and mentor Machine Learning Product Engineers to ensure best engineering practice in our systems.

                    • -
                    -
                    -

                    -

                    Requirements

                    -
                    -

                    Required Technical Skills

                    -
                      -
                    • BSc+ in Computer Science, Math, Physics, or similar

                    • -
                    • 5+ years of extensive programming experience, at least 3 years in building production data systems

                    • -
                    -
                      -
                    • 3+ years experience of building machine learning production system

                    • -
                    • Expert level skills in system design

                    • -
                    • Expert in Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Spark, Cassandra, Kafka, Elasticsearch

                    • -
                    • Strong knowledge of Machine Learning and Deep Learning

                    • -
                    • Practical expertise in performance tuning, bottleneck problems analysis, and troubleshooting

                    • -
                    -
                      -
                    • Experience with Big Data solutions developed in large cloud computing infrastructures such as Azure and AWS

                    • -
                    • Strong experience with Scala and Java 8

                    • +
                    • Ten (10) or more years relevant experience
                    -

                    Nice to have Skills

                    -
                    • C++, Python experience

                    Additional Information

                    -

                    Benefits

                    -
                      -
                    • Entrepreneurial and inclusive culture

                    • -
                    • Excellent health coverage and pension plan

                    • -
                    • Four weeks paid vacation

                    • -
                    • -

                      Catered lunches twice a week over machine learning talks

                      -

                      #LI-Hybrid

                      -
                    • -
                    -
                    +#LI-Hybrid

                    Hours

                    37.5

                    Inclusiveness

                    -
                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.
                    -

                    -
                    ",,https://jobs.td.com/en-CA/jobs/17650200/senior-machine-learning-engineer-layer-6-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-26T16:24:21.290Z,False,0,3,23,https://talenthub.vectorinstitute.ai/jobs/198034024-senior-machine-learning-engineer-layer-6-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17650200/senior-machine-learning-engineer-layer-6-toronto-ca/,expired,2023-02-20T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -127fced5-e444-44fc-97cd-a700ff63b7f3,216105800,BMO Financial Group,"Manager, Product and Campaign Analytics",on_site,"Ontario, Canada",2023-04-17T17:12:01.814Z,"
                    -

                    Application Deadline:

                    05/29/2023

                    -

                    -

                    Address:

                    33 Dundas Street West

                    -

                    -

                    Job Family Group:

                    Data Analytics & Reporting

                    -

                    -

                    -

                    -

                    Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                    -
                      -
                    • Acts as a trusted advisor to assigned business/group.
                    • -
                    • Leads the design, development, and implementation of analytic solutions.
                    • -
                    • Identifies emerging issues and trends to inform decision-making.
                    • -
                    • Recommends and implements solutions based on analysis of issues and implications for the business
                    • -
                    • Ensures alignment between stakeholders about business needs and data needs.
                    • -
                    • Ensures alignment between stakeholders about business needs and data needs.
                    • -
                    • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                    • -
                    • Designs, develops, and implements innovative analytical solutions.
                    • -
                    • Designs and produces regular and ad-hoc reports, and dashboards.
                    • -
                    • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                    • -
                    • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                    • -
                    • Cleanses, manipulates, and transforms data through programming / scripting for model training and validation.
                    • -
                    • Automates validation tests to improve quality and efficiency of the validation process.
                    • -
                    • Validates and tests models used in analytics and reporting to assess/address performance and compliance.
                    • -
                    • Promotes reporting automation, self-serve analytics consumption, and the culture of analytics-driven decision making.
                    • -
                    • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                    • -
                    • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                    • -
                    • Designs, develops, and implements innovative analytical solutions.
                    • -
                    • Designs and produces regular and ad-hoc reports, and dashboards.
                    • -
                    • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                    • -
                    • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • -
                    • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                    • -
                    • Analyzes data and information to provide subject-matter insights and recommendations.
                    • -
                    • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                    • -
                    • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                    • -
                    • Builds effective relationships with internal/external stakeholders.
                    • -
                    • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                    • -
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                    • -
                    • Provides specialized consulting, analytical and technical support.
                    • -
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • -
                    • Works independently and regularly handles non-routine situations.
                    • -
                    • Broader work or accountabilities may be assigned as needed.

                      Qualifications:

                      -
                    • -
                    • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                    • -
                    • RESL analytics experience would be a definite asset
                    • -
                    • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to SQL, SAS, R, Python, PowerBI.
                    • -
                    • Deep knowledge and technical proficiency gained through extensive education and business experience.
                    • -
                    • Verbal & written communication skills - In-depth.
                    • -
                    • Collaboration & team skills - In-depth.
                    • -
                    • Analytical and problem solving skills - In-depth.
                    • -
                    • Influence skills - In-depth.
                    • -
                    • Data driven decision making - In-depth.
                    • -
                    -

                    -

                    -

                    We’re here to help

                    -

                    -

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    -

                    -

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    -

                    -

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    -

                    -

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    -

                    -

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    -
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Product-and-Campaign-Analytics_R230006510?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-04-20T17:17:03.171Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/216105800-manager-product-and-campaign-analytics-at-bmo-financial-group,,expired,2023-04-17T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -70ad236c-15c6-49cc-b787-0e3cda6735f1,189565749,RBC,"Manager, Data Analytics",on_site,"Toronto, ON, Canada",2023-01-23T17:16:03.392Z,"
                    -

                    Come Work with Us!

                    At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                    Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                    -

                    Job Title

                    Manager, Data Analytics

                    -

                    -

                    Job Description

                    -

                    What is the Opportunity?

                    -

                    -

                    The Data Analytics Manager will assist Internal Audit RBC US teams in the research, development, and delivery of strategic and analytics initiatives to achieve Audit objectives in alignment with Internal Audit’s transformation goals. These initiatives affect operations and audit execution across multiple geographies and/or across multiple business units/platforms.

                    -

                    -

                    What will you do?

                    -
                      -
                    • Responsible for supporting the performance and quality of analytics that will provide continuous improvements of the audits that have been planned for the respective platforms.
                    • -
                    • Support the business phases of the analytics lifecycle for the respective Internal Audit platform(s).
                    • -
                    • Responsible for assisting in internal and external research, stakeholder management, collaborative requirement gathering, and a user-centric approach that in combination ensure technical solutions are both valuable and readily adopted across Internal Audit.
                    • -
                    • Effectively collaborate closely with technical talent pools who transform proposed business cases into leading edge technological solutions.
                    • -
                    • Strategically recommend and apply existing technology to reduce duplication of efforts and ensure the Internal Audit platforms have the skills and capacity to use and understand the technology available across Internal Audit.
                    • -
                    • Responsible for researching and developing foundational analytics that support Internal Audit RBC US teams.
                    • -
                    • Create and maintain foundational data & analytics initiatives that provide continuous improvements of the audits that have been planned in the platform(s).
                    • -
                    • Support effective delivery of a pipeline of data analytics and automation initiatives that impact Audit execution activities globally across all regions and lines of business.
                    • -
                    • Support the prioritization of analytics based on areas of best return; deciding on accept/decline analytics and automation activities for the Lab to execute on; hosting regular cadence with lab stakeholders; ensuring analytics initiatives are tracked in central repository.
                    • -
                    • Acts as a peer to the Data Engineers and Data Scientists in the centralized Data Management & Analytics team (DMA).
                    • -
                    • Empowered to challenge and refine the value of analytics ideas as proposed by the auditors
                    • -
                    • Conduct research and identify opportunities for improving processes and technology: Externally, research best practices, emerging risks, and innovation across RBC and broadly throughout the financial sector. Internally, gather, understand, and analyse auditors’ pain points.
                    • -
                    • Size potential upside of deploying a solution across platforms, in line with your findings. In partnership with technical experts and other stakeholders, define and articulate ROI for your business cases for Executive Selection Committee approval.
                    • -
                    • Support technical builds and process reengineering aligned with business cases at every step of analytics lifecycle; engage auditors as needed and support user acceptance testing across your platforms.
                    • -
                    • Support the communication of ongoing work to broad Internal Audit audience and support creation of training materials and experiences for selected tools.
                    • -
                    • Support the adoption of centrally developed data products in the platform with support from the DMA team and global adoption of IA wide data initiatives.
                    • -
                    • Support technology use and reuse by having a thorough understanding of available and upcoming technology across the Internal Audit toolkit.
                    • -
                    • Assist in review of quarterly Audit plan for existing tool use to reduce duplication of efforts and to ensure technology provides expected return.
                    • -
                    • Support gathering and triage feedback for technical experts on an ongoing basis
                    • -
                    • Mentor team members - assist with individual capability building and certification, grow the skillsets /capabilities of the team, transfer skills/knowledge, and demonstrate awareness of linkages and political forces.
                    • -
                    • Develop and maintain strong working relationships with team members, process stakeholders, support groups, business partner teams, to ensure collaboration and cooperation to meet timing of projects.
                    • -
                    • Continually demonstrate commitment to and application of RBC Leadership Model Behaviors
                    • -
                    -

                    -

                    What do you need to succeed?

                    -
                      -
                    • Bachelor’s Degree; Masters or Advanced Degree preferred
                    • -
                    • Knowledge of financial industry regulatory guidelines
                    • -
                    • Proficient in auditing principles and techniques
                    • -
                    • Proficient written and oral communication skills
                    • -
                    • Proficient in project management
                    • -
                    • Good understanding of programming languages (Python, SQL, R)
                    • -
                    • Strong understanding and experience using data visualization tools
                    • -
                    • A strong understanding of Data Analytics to optimize use
                    • -
                    • Ability to learn new and emerging technologies
                    • -
                    • Ability to work in a dynamically changing environment.
                    • -
                    • Proven ability to produce, conduct, and report on internal and external research, including qualitative and quantitative metrics
                    • -
                    • Demonstrated ability to calculate ROI for projects of various complexity and scale
                    • -
                    • Working knowledge of Python, SQL, Data Visualization, UX/UI
                    • -
                    • Strong knowledge of Agile or other lean methodologies
                    • -
                    • Strong knowledge of design, development, and implementation experience utilizing data technologies
                    • -
                    • Proficient analytical and problem-solving skills
                    • -
                    • Strong data profiling, cleaning, and mining
                    • -
                    • Ability to perform complex data analysis on large volumes of data and present findings to stakeholders
                    • -
                    • Expert data extract, transform, and load processes with a variety of data types
                    • -
                    • 2+ years of experience with big data technologies – Hadoop (Pig, Hive), noSQL/SQL databases, parallel processing techniques and Apache Spark
                    • -
                    • Strong interpersonal and communication skills: Ability to explain complex Audit and Technological concepts to various stakeholders ranging from Specialists to Executives
                    • -
                    • Strong aptitude for Collaboration, Stakeholder Management and Relationship Management
                    • -
                    • Domain Knowledge and capacity to research and effectively understand innovative concepts, including but not limited to Emerging Financial Risk and Regulation, Artificial Intelligence, Big Data, UX/UI, and Data Visualization
                    • -
                    -

                    -

                    What’s in it for you?

                    -

                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                    -
                      -
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                    • -
                    • Leaders who support your development through coaching and managing opportunities
                    • -
                    • Ability to make a difference and lasting impact
                    • -
                    • Work in a dynamic, collaborative, progressive, and high-performing team
                    • -
                    • Opportunities to do challenging work
                    • -
                    • Opportunities to building close relationships with clients
                    • -
                    -

                    -

                    The good-faith expected salary range for the above position is $110,000 - $190,000 depending on factors including but not limited to the candidate’s experience, skills, registration status; market conditions; and business needs. This salary range does not include other elements of total compensation, including a discretionary bonus and benefits such as a 401(k) program with company-matching contributions; health, dental, vision, life and disability insurance; and paid time-off plan.

                    -

                    RBC’s compensation philosophy and principles recognize the importance of a highly qualified global workforce and plays a critical role in attracting, engaging and retaining talent that:

                    -
                      -
                    • Drives RBC’s high performance culture
                    • -
                    • Enables collective achievement of our strategic goals
                    • -
                    • Generates sustainable shareholder returns and above market shareholder value
                    • -
                    -

                    -

                    USAUDIT23

                    -

                    -

                    -

                    Job Summary

                    -

                    Address:

                    Jersey City, New Jersey, United States of America

                    City:

                    USA-NJ-JERSEY CITY

                    Country:

                    United States of America

                    Work hours/week:

                    40

                    Employment Type:

                    Full time

                    Platform:

                    Internal Audit

                    Job Type:

                    Regular

                    Pay Type:

                    Salaried

                    Posted Date:

                    2022-11-16-08:00

                    Application Deadline:

                    2023-01-16-08:00
                    -

                    Inclusion and Equal Opportunity Employment

                    -

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    -
                    -

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                    -
                    ",,https://jobs.rbc.com/ca/en/job/R-0000034713/Manager-Data-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-02-22T21:41:42.515Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/189565749-manager-data-analytics-at-rbc,,expired,2023-01-23T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -f8d4ddd0-e327-4e33-b896-39326a33f3dc,193133043,BMO Financial Group,"Senior Manager, Wholesale Credit Methodology",on_site,"Ontario, Canada",2023-02-05T17:12:02.052Z,"
                    -

                    Address:

                    302 Bay Street

                    -

                    -

                    Job Family Group:

                    Data Analytics & Reporting

                    -

                    -

                    If you’re looking for your next dream job, consider this one in BMO’s ERPM Risk group where every colleague helps protect and grow the bank by providing independent review and oversight of enterprise-wide risks, working together to maintain a risk management framework and fostering a strong risk culture. #ERPMDreamJobs

                    -

                    -

                    -

                    -

                    -

                    Supports the research and development of quantitative risk modeling methodologies and related strategies in support of the management of risks arising from business/group portfolios and products. Applies knowledge of analytics algorithms and technologies to develop forward looking models and analytic solutions that ensure risks are properly identified, understood and risk related strategies are enabled. Summarizes statistical findings, draws business conclusions, and presents actionable business recommendations used in the management of risks and related activities e.g. associated internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations. Drives innovation through the development of data products that can be leveraged across the organization and establishes best practices as well influences data governance guidelines and policies. May specialize in one or more risk categories e.g. Credit Risk, Market Risk, Interest Rate Risk, etc.

                    -

                    Qualifications:

                    -
                      -
                    • Manages people and leads a team capable of delivering the desired business results.
                    • -
                    • Provides strategic input into business decisions as a trusted advisor.
                    • -
                    • Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group.
                    • -
                    • Acts as a subject matter expert on relevant regulations and policies.
                    • -
                    • May network with industry contacts to gain competitive insights and best practices.
                    • -
                    • Acts as a subject matter expert on relevant regulations and policies.
                    • -
                    • Oversees the development and delivery of tools and training reporting tools and self-serve analytics by non-analytical end users.
                    • -
                    • Influences and negotiates to achieve business objectives.
                    • -
                    • Identifies emerging issues and trends to inform decision-making.
                    • -
                    • Manages resources and leads the execution of strategic initiatives to deliver on business and financial goals.
                    • -
                    • Recommends business priorities, advises on resource requirements and develops roadmap for strategic execution.
                    • -
                    • Develops and manages comprehensive information management systems; designs and/or leads initiatives to improve processes, analysis and reporting.
                    • -
                    • Conducts independent analysis and assessment to resolve strategic issues.
                    • -
                    • Identifies emerging issues and trends to inform decision-making.
                    • -
                    • Acts as the prime subject matter expert for internal/external stakeholders.
                    • -
                    • Ensures alignment between stakeholders.
                    • -
                    • Builds effective relationships with internal/external stakeholders.
                    • -
                    • Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group.
                    • -
                    • Defines business requirements for analytics & reporting to ensure data insights inform business decision making.
                    • -
                    • Develops and applies the framework for databases; oversees database management in adherence with data governance standards.
                    • -
                    • Monitors and tracks performance, and addresses any issues.
                    • -
                    • Leads the execution of ad-hoc analytics and reporting solutions and cyclical programs; assesses and adapts as needed to ensure quality of execution (8,9).
                    • -
                    • Leads change management programs of varying scope and type, including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
                    • -
                    • Leads the development of the communication strategy focusing on positively influencing or changing behaviour.
                    • -
                    • Collaborates across BMO to develop communications strategies and ensure consistency of messaging, in order to positively influence or change behaviour.
                    • -
                    • Leads the execution of operational programs; assesses and adapts as needed to ensure quality of execution.
                    • -
                    • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • -
                    • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                    • -
                    • Works with stakeholders to identify the business requirements, understand the distinct problems, and the expected outcome and models and frames business scenarios which impact critical business processes and/or decisions.
                    • -
                    • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
                    • -
                    • Applies scripting/programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                    • -
                    • Develops agreed analytical solution by applying suitable statistical techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, artificial intelligence) to test, verify, refine hypotheses.
                    • -
                    • Summarizes statistical findings and draws conclusions and presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                    • -
                    • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                    • -
                    • Performs experimental design approaches to validate finding or test hypotheses.
                    • -
                    • Uses the appropriate algorithms to discover patterns.
                    • -
                    • Builds effective relationships with internal/external stakeholders. Ensures alignment between stakeholders.
                    • -
                    • Supports development of tools and delivers training for data and analytics.
                    • -
                    • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • -
                    • Leads/participates in the design, implementation and management of core business/group processes.
                    • -
                    • Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
                    • -
                    • Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
                    • -
                    • Implements changes in response to shifting trends.
                    • -
                    • Broader work or accountabilities may be assigned as needed.
                    • -
                    • Typically 7+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                    • -
                    • Data preparation, data analysis, and statistical tool sets including but not limited to, SAS, R, Python, SQL,MATLAB, SPSS.
                    • -
                    • Relevant experience in risk, capital, and/or treasury management is preferred.
                    • -
                    • A professional designation in Finance or Risk management is preferred.
                    • -
                    • Seasoned professional with a combination of education, experience and industry knowledge.
                    • -
                    • Verbal & written communication skills - In-depth / Expert.
                    • -
                    • Analytical and problem solving skills - In-depth / Expert.
                    • -
                    • Influence skills - In-depth / Expert.
                    • -
                    • Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.
                    • -
                    • Able to manage ambiguity.
                    • -
                    • Data driven decision making - In-depth / Expert.
                    • -
                    -

                    -

                    -

                    We’re here to help

                    -

                    -

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    -

                    -

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    -

                    -

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    -

                    -

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    +

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    -
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Manager--Wholesale-Credit-Methodology_R220030869-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-02-23T17:17:02.432Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/193133043-senior-manager-wholesale-credit-methodology-at-bmo-financial-group,,expired,2023-02-05T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -156762ce-349e-4406-adcd-b51a76356ded,197102979,Scotiabank,Data Engineer Manager,on_site,Canada : Ontario : Mississauga || Canada : Ontario : North York,2023-02-16T17:22:02.635Z,"

                    +
                    ",,https://jobs.td.com/en-CA/jobs/17299685/sr-mgr-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-12-22T17:29:00.000Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/178993305-sr-mgr-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17299685/sr-mgr-analytics-insights-toronto-ca/,expired,2022-12-19T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +53ab5be7-0326-4347-a135-91920f09c7f2,188133608,Scotiabank,"Manager, Data Science",on_site,Canada : Ontario : North York || Canada : Ontario : Brampton || Canada : Ontario : Mississauga || Canada : Ontario : Scarborough || Canada : Ontario : Toronto,2023-01-18T17:22:02.934Z,"

                    -

                    Requisition ID: 173481

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    Requisition ID: 170909

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    Purpose

                    -

                    Contributes to the overall success of Global Operations ensuring specific individual goals, plans and initiatives that are executed/delivered in support of the team’s business strategies and objectives. Responsible for supporting the end-to-end reporting lifecycle. This includes sourcing the requisite data, delivering sound data solutions to enable reporting and supporting the infrastructure and product portfolio. Ensures all development initiatives are executed and delivered with high quality and in compliance with Enterprise Security and Audit requirements

                    -

                    -

                    Accountabilities

                    -
                    • Champions a customer-focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                    • Designs and maintains scalable data architecture in SQL Server (on-premise and Azure) to support periodical integration, transformation, validation and analysis of financial/operational data sourced from diverse teams. Ensure data architecture is aligned with the Enterprise Technology and Data Roadmaps.
                    • Work in an Agile environment, be quick to adapt and understand dynamic business requirements and be able to work with tight timelines. Proactively supports data-based decision-making across operational functions by identifying analytical prospects in operational/financial data.
                    • Identify opportunities to automate processes/tasks that are manual and repetitive in nature, within the existing business process or operational process.
                    • Follow iterative development principles to design, code, test, implement and support data and analytics solutions using industry best practices. Apply a consistent strategy to profile and model the data, setting a solid foundation for dashboards and ad hoc reporting.
                    • Support product vision, scope and objectives based on a thorough understanding of the Business goals and requirements. Partner with source system owners across the Enterprise to acquire the necessary data to satisfy business objectives by creating data contracts and data dictionaries.
                    • Skilled in XML, CSharp, Java, ASP.NET, MVC development. Responsible for developing and maintaining routines and developing UI design to load, access and extract data in Microsoft SQL Server Environment.
                    • Provide sound data mining techniques and analytical methodologies to provide fact-based analysis to support data initiatives and improve business processes. Leverage agility and creativity to maximize value and insight delivered by data analysis.
                    • Proactively recommend and execute strategies to improve methodology, operational efficiency and effectiveness, and quality of deliverables. Continually identify, propose, and assist in the integration and adoption of new technologies and methodologies as appropriate.
                    • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions. Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                    • -
                    -

                    -

                    Dimensions

                    -
                    • Proficient in XML, Java, CSharp and ASP.NET application development
                    • Data visualizations for Power BI reporting
                    • All business units in Global Operations
                    • Number of projects: ongoing operational reporting initiatives for the Retail and Business Banking Operations, Contact Centre, Collections and Corporate Services
                    • -
                    -

                    -

                    Qualifications

                    -
                    • University degree in Engineering, Computer Science, Analytics, Mathematics or related fields is required
                    • 5+ years of practical experience is an asset
                    • Advanced knowledge of Business Intelligence solutions, database design, data mining, profiling, and modelling techniques. Solid experience with SQL Server 2012/2016/2017, ETL, SSRS, SSAS, MDX, XML, Java, C# and ASP.NET, Unified Dimensional/Relational modelling
                    • Experience integrating with Hadoop and working with Big Data technologies; Microsoft Visual Studio & Team Foundation Server is an asset
                    • Experience with data visualization tools (Power BI) is required
                    • -
                    -

                    -

                    +

                    Purpose

                    +

                    The incumbent supports advanced analytics and executive reporting projects for Global Operations that deliver quantifiable benefits and improvements in business processes aligned to strategic objectives. The incumbent will leverage quantitative knowledge, data storytelling skills, data visualization tools and business knowledge to drive a superior customer experience and enable business strategy. She/he will ensure all activities conducted are in compliance with governing regulations, internal policies and procedures.

                    -

                    Location(s): Canada : Ontario : Mississauga || Canada : Ontario : North York

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Mississauga-Data-Engineer-Manager-ON-M3C0N5/567753417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-23T17:27:05.483Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/197102979-data-engineer-manager-at-scotiabank,https://jobs.scotiabank.com/job/Mississauga-Data-Engineer-Manager-ON-M3C0N5/567753417/,expired,2023-02-16T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -e48bddf1-7965-4504-9495-be4dfb139252,193454532,RBC,Fixed Income Analytics Associate,on_site,"Toronto, ON, Canada",2023-02-06T17:16:02.127Z,"
                    -

                    Come Work with Us!

                    At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                    Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                    -

                    Job Title

                    Fixed Income Analytics Associate

                    -

                    -

                    Job Description

                    -

                    What is the opportunity?

                    -

                    The Fixed Income Analytics Associate will actively engage in market making activity in assigned asset classes. This individual will provide Fixed Income system and technical support to all Fixed Income professionals. Provide business analysis, subject matter expertise, and application support for internally developed Fixed Income IT projects and externally developed vendor applications. Develop, enhance, and maintain tools and reporting capabilities. Assist with management/compliance reviews.

                    -

                    -

                    What will you do?

                    -
                      -
                    • Assist with management/compliance report reviews.

                    • -
                    • Design, develop, and execute various trading strategies and implement new tools to satisfy business needs.

                    • -
                    • The incumbent is expected to be fully conversant and knowledgeable of market conditions and industry changes.

                    • -
                    • Build strong relationships with other internal trading desks and complement their trading activity.

                    • -
                    • Provide ongoing maintenance and enhancements of existing tools and reports.

                    • -
                    • Identify, develop, and maintain new and existing reporting capabilities to support and grow the business.

                    • -
                    • Work with internal RBC partners and external vendors to implement new products & services to the RBC Fixed Income platform.

                    • -
                    • Support vendor applications including Tradeweb Direct, Bloomberg, TMC, ICE BondPoint, Lumesis, DPC Data, CreditSights and others.

                    • -
                    • Identify and prioritize system enhancements, document business requirements, test, communicate, and train users as required.

                    • -
                    • Assess, research, analyze, document, and resolve issues and system defects. Communicate updates and resolution to users.

                    • -
                    • Plan, prepare, and lead the execution of UAT test cases.

                    • -
                    • Serve as Fixed Income subject matter expert on enterprise projects. Assist with analysis, business requirements, and testing.

                    • -
                    • Recommend technology solutions that satisfy business needs. Continually explore and assess options for technology solutions that meet business needs.

                    • -
                    • Represent Fixed Income within enterprise supplier management process. Complete or assist others in the completion of ongoing supplier management documentation.

                    • -
                    • Support daily activity of fixed income professionals by answering questions, provide training, resolve computer issues, troubleshoot and document system issues, communicate system changes and enhancements, and create & maintain documentation.

                    • -
                    • Run scheduled and ad-hoc reports.

                    • -
                    -

                    -

                    What do you need to succeed?

                    -

                    Must-have

                    -
                      -
                    • Bachelor’s Degree is required, preferably with a concentration in Business, Finance, Economics, or Computer Science

                    • -
                    • Series 7 and 63 or ability to obtain within 6 months of employment

                    • +

                      Accountabilities

                      +
                      • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                      • Proactively drives data-based decision making across functions by making analytical recommendations based on operational/financial/customer data and benchmarks. Implements initiatives for operational efficiencies and cost savings.
                      • Leverages analytics techniques to improve end-to-end business processes, such as descriptive, diagnostic, predictive and prescriptive analytics.
                      • Builds and maintains relationships with multiple stakeholders and keeps cross-functional lines of communication with data delivery network.
                      • Provides end-to-end analytic support for business functions including extracting/cleaning data, analyzing data, generating insights and recommendations, and presenting to key stakeholders.
                      • Applies advanced data mining techniques to facilitate fact-based analysis. Leverage agility and creativity to maximize value and insight delivered by data analysis. Utilize varied and complex data sources, including enterprise data lake, cloud, and diverse source systems.
                      • Utilizes visualization tools (Power BI) to communicate analytical insights and to support relationships with executive leadership. These insights are expected to strategically influence decisions of business operations management.
                      • Analyzes Internal Survey results and prepares presentations to communicate key insights.
                      • Maintain awareness of best practices in the field of data analytics and adopt a continuous learning model to reflect quality of work that is produced
                      • Identifies and implements use cases for enhancing customer and employee experiences across business units using advanced techniques, such as customer segmentation, text analytics (NLP) and experimental research (A/B testing).
                      • Understands how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                      • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                      • Champions a high-performance environment and contributes to an inclusive work environment.
                      -

                      -

                      Nice-to-have

                      -
                        -
                      • Ability to comprehend industry regulations as they apply to the fixed income business.

                      • -
                      • Experience with Microsoft Excel, Access, SQL Server, VBA, Python

                      • -
                      • Strong SQL writing skills

                      • -
                      • Ability to work in a fast paced, pressured environment with time deadlines

                      • -
                      • Strong interpersonal and written communication skills with ability to establish and maintain relationships at all organizational levels

                      • +

                        +

                        +

                        Education / Experience / Other Information

                        +
                        • Postgraduate University degree in analytics, data science, engineering, statistics, mathematics or related fields
                        • 4+ years of experience in managing and analyzing data with advanced techniques
                        • Working experience in customer analytics, text analytics and experimental research
                        • Advanced knowledge of Python/R, SQL, Power BI/DAX
                        • Knowledge of Banking Industry, such as products, services, policies and procedures, regulations and related regulatory requirements is an asset
                        • Excellent communication skills to effectively present complex information in simple terms
                        +

                        +

                        Location(s): Canada : Ontario : North York || Canada : Ontario : Brampton || Canada : Ontario : Mississauga || Canada : Ontario : Scarborough || Canada : Ontario : Toronto

                        Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                        At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/North-York-Manager%2C-Data-Science-ON-M3C0N5/566728117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-23T23:29:00.000Z,False,0,4,6,https://talenthub.vectorinstitute.ai/jobs/188133608-manager-data-science-at-scotiabank,https://jobs.scotiabank.com/job/North-York-Manager%2C-Data-Science-ON-M3C0N5/566728117/,expired,2023-01-18T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +64494c01-0913-40e4-b1d5-d98e3d0dc32e,179960742,Roche,Senior Analytics Lead,on_site,"Ontario, Canada",2022-12-22T17:42:05.074Z,"
                    +

                    The Position

                    +

                    The Individual Contributor in Business Insights & Analytics (BI&A) is a strategic thought partner to key stakeholders and an integral contributor to Genentech’s operational planning efforts.

                    +

                    The specific role of Senior Analytics Lead requires a mix of Forecasting, Advanced Data Analytics, and Product Manager capabilities. However, all Individual Contributors have the opportunity to blend and extend their expertise on different initiatives to further develop both the breadth and depth of their capabilities.

                    -

                    What’s in it for you?

                    -

                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                    +

                    He/she is responsible for providing strategic operational insights with minimal guidance / supervision, leveraging their capabilities in the following areas of expertise:

                      -
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

                    • -
                    • Leaders who support your development through coaching and managing opportunities

                    • -
                    • Ability to make a difference and lasting impact

                    • -
                    • Work in a dynamic, collaborative, progressive, and high-performing team

                    • -
                    • Flexible work/life balance options

                    • -
                    • Opportunities to do challenging work

                    • -
                    • Opportunities to take on progressively greater accountabilities

                    • -
                    • Access to a variety of job opportunities across business

                    • +
                    • +Forecasting: creating time-series and/or patient-based forecasts; conducting uncertainty analyses
                    • +
                    • +Advanced Data Analytics: designing and delivering advanced quantitative data analyses leveraging large/complex datasets
                    • +
                    • +Product Management: end to end delivery of analytical solutions from ideation through implementation, providing strategic partnership to communities across Clinical Operations

                    +

                    MAJOR RESPONSIBILITIES

                    -

                    Job Summary

                    -

                    Address:

                    Minneapolis, Minnesota, United States of America

                    City:

                    USA-MN-MINNEAPOLIS

                    Country:

                    United States of America

                    Work hours/week:

                    40

                    Employment Type:

                    Full time

                    Platform:

                    Wealth Management

                    Job Type:

                    Regular

                    Pay Type:

                    Salaried

                    Posted Date:

                    2023-02-02-08:00

                    Application Deadline:

                    2023-02-24-08:00
                    -

                    Inclusion and Equal Opportunity Employment

                    -

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    -
                    -

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                    -
                    ",,https://jobs.rbc.com/ca/en/job/R-0000047207/Fixed-Income-Analytics-Associate,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-02-24T17:38:00.000Z,False,0,9,21,https://talenthub.vectorinstitute.ai/jobs/193454532-fixed-income-analytics-associate-at-rbc,,expired,2023-02-06T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -510e96c5-a0cc-4fad-9491-8fab7fe400fd,196076539,BMO Financial Group,"Analyst, Business Analytics & Reporting - Summer 2023 (Co-op/Internship) - 4 Months",on_site,"Ontario, Canada",2023-02-13T17:12:02.234Z,"
                    -

                    Address:

                    33 Dundas Street West

                    -

                    -

                    Job Family Group:

                    Data Analytics & Reporting

                    -

                    -
                    As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.
                    -
                    -

                    -

                    Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO First Friend peer assignment, BMO Social Squad student-led activities, BMO U corporate learning platform and access to various Employee Resource Groups to further develop your network within BMO.

                    +

                    -Work with Clinical Operations Disease Area Communities (CODACs) and Clinical Operations Portfolio Enabling Communities (COPECs), Franchise Leads, Study Management & Country Leaders, Study Management Teams, Late Stage Portfolio Committee (LSPC) stakeholders, Lifecycle Teams to understand business needs and priorities, as well as immediate scope of work

                    +

                    -Increase the sophistication and application of advanced analytics methods (including predictive modeling, machine learning, and scalable prototypes) to measure study performance and guide portfolio-level decisions efficiently and at the speed of business

                    +

                    -Create and manage tools with up-to-date industry information to build accurate short-and long-term forecasts

                    +

                    -Work with other team members to pull in insights from primary and secondary data, to continuously improve forecast methods and accuracy

                    +

                    -Communicate the effects that trial design elements, country and site selection, competitor activities and new engagement tactics will have on clinical trial recruitment & retention forecasts

                    +

                    -Provide technical/analytical expertise to team through secondary data analytics

                    +

                    -Apply analytical and statistical methods to answer a variety of business questions using multiple data sources and technical tools/languages

                    +

                    -Monitor and assess the effectiveness of enrollment and engagement efforts, projects, and practices and identify opportunities to optimize value of investments

                    +

                    -Support the identification of appropriate sites and countries for trial placement

                    +

                    -Act as subject matter expert for applicable advanced analytical methodologies, programs and projects

                    +

                    -Collaborate within cross-functional teams to develop solutions, gain alignment and deliver impactful business insights; engage necessary stakeholders to enable better decision-making

                    +

                    -Openly share perspective and insights to elevate team thinking and drive a balanced, holistic point of view; effectively weigh and communicate trade-off considerations

                    +

                    -Take an enterprise and One PDG mindset, linking individual responsibilities with broader organization; focus on outcomes that provide most business value

                    +

                    -Demonstrate self-accountability and integrity

                    +

                    -Demonstrate strategic agility and an ability to engage stakeholders to understand and diagnose business problems and recommend appropriate courses of action

                    +

                    -Look for opportunities for continuous improvement; engage managers and peer group regularly for coaching, assistance, and advocacy

                    +

                    -Stay current with and adopt emergent relevant methodologies, tools and applications to ensure fit-for-purpose and impactful approaches

                    +

                    -Act as a thought partner and advisor to all relevant teams and stakeholders; look for and establish opportunities for peer mentorship

                    +

                    -Actively participate in cross functional communities, networks and/or knowledge-sharing bodies that enable broader and more effective use of insights and/or analytics that drive and support decisions

                    +

                    -Acquire, aggregate and/or curate data and information

                    -

                    Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Twitter @BMOonCampus & Instagram @BMO_on_Campus.

                    -

                    Please ensure you upload your resume, cover letter and transcript in the ‘Upload a file’ section prior to submitting your application.

                    +

                    WHO YOU ARE

                    -

                    Please note: Only students currently enrolled in an academic program and returning to their studies will be considered for our Co-op/Internship opportunities. Student who recently graduated are invited to apply to our New Grad opportunities which are available at: https://jobs.bmo.com/ca/en/new-grad

                    -
                    -

                    -

                    -

                    Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                    +

                    In Individual Contributors, we are looking for people who are nimble, curious, able to effectively collaborate and lend expertise to multi-functional teams and adapt quickly to competing priorities within their Disease Area. We are also looking for people who are committed to continuing to make Genentech a great place to work, by seeking opportunities to develop their own and others’ expertise through ongoing mentorship and coaching.

                      -
                    • Designs, develops, and implements innovative analytical solutions.
                    • -
                    • Designs and produces regular and ad-hoc reports, and dashboards.
                    • -
                    • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                    • -
                    • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • -
                    • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                    • -
                    • Analyzes data and information to provide subject-matter insights and recommendations.
                    • -
                    • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                    • -
                    • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                    • -
                    • Builds effective relationships with internal/external stakeholders.
                    • -
                    • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                    • -
                    • Completes complex & diverse tasks within given rules/limits and may include handling escalations from other employees.
                    • -
                    • Analyzes issues and determines next steps.
                    • -
                    • Broader work or accountabilities may be assigned as needed.

                      Qualifications:

                      -
                    • -
                    • Typically between 2 – 3 years of relevant experience and post-secondary degree in related field of study desirable or an equivalent combination of education and experience.
                    • -
                    • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Good.
                    • -
                    • Specialized knowledge.
                    • -
                    • Verbal & written communication skills - Good.
                    • -
                    • Organization skills - Good.
                    • -
                    • Collaboration & team skills - Good.
                    • -
                    • Analytical and problem solving skills - Good.
                    • +
                    • ""Self-starter""; strong sense of responsibility with demonstrable comfort in an entrepreneurial environment
                    • +
                    • Able to work effectively in a fluid, cross-functional, global matrixed environment and stand out as a successful collaborator
                    • +
                    • Strong interpersonal skills and a consultative mindset, with the ability to develop strong partnerships
                    • +
                    • Good problem-solving ability, breaking down complex problems into distinct parts, managing uncertainty, understanding, anticipating interdependencies
                    • +
                    • Able to proactively “connect the dots” by asking thought-provoking questions
                    • +
                    • Objective when presenting insights and guiding decision-making; demonstrate good presentation skills by pairing sound analytics with storytelling
                    • +
                    • Motivated to continuously improve performance; outcomes-focused and driven to achieve objectives
                    • +
                    • Able to lean in and manage through change
                    -

                    -

                    -

                    We’re here to help

                    -

                    -

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    -

                    -

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    -

                    -

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    -

                    -

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    -

                    -

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    -
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Analyst--Business-Analytics---Reporting---Summer-2023--Co-op-Internship----4-Months_R230002893?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa&company=99ba898c88ac011c8a873c01f2016c06,feed-importer@jobboard.io,https://jobs.bmo.com/ca/en,,,2023-02-24T17:39:00.000Z,False,0,4,23,https://talenthub.vectorinstitute.ai/jobs/196076539-analyst-business-analytics-reporting-summer-2023-co-op-internship-4-months-at-bmo-financial-group,,expired,2023-02-13T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -9794f78d-f3f3-46a6-9bcc-85771459469a,154466930,Borealis AI,Machine Learning Researcher - Causality,on_site,"Ontario, Canada",2022-10-02T01:59:18.613Z,"
                    -
                    -
                    -

                    What\'s the opportunity?

                    -

                    As a Researcher in machine learning and causal inference, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We’re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                    -

                    Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                    -

                    Your responsibilities include:

                    -
                      -
                    • Developing novel AI solutions that facilitate impactful products;
                    • -
                    • Conducting original, publishable research by advancing the state-of-the-art in machine learning and causal inference;
                    • -
                    • Working with the development team to transfer research work into production;
                    • -
                    • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                    • -
                    • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                    • -
                    -

                    You’re our ideal candidate if you have:

                    -
                      -
                    • Experience in researching or applying causal inference;
                    • -
                    • A passion for solving open problems using data and algorithms;
                    • -
                    • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                    • -
                    • Ability to formulate and drive a research project independently without close supervision;
                    • -
                    • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                    • -
                    -

                    What’s in it for you?

                    -
                      -
                    • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                    • -
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                    • -
                    • Leaders who support your development through coaching and managing opportunities;
                    • -
                    • Ability to make a difference and lasting impact from a local-to-global scale.
                    • -
                    -

                    About Borealis AI

                    -

                    Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                    -

                    Inclusion and Equal Opportunity Employment

                    -

                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                    -
                    -
                    -
                    -
                    -
                    -
                    -
                    -
                    ",,https://www.borealisai.com/careers/?gh_jid=5689077002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-11-02T13:16:42.626Z,False,0,6,75,https://talenthub.vectorinstitute.ai/jobs/154466930-machine-learning-researcher-causality-at-borealis-ai,,expired,2022-10-02T01:59:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Entry Level,PhD,New Posting, -4bb70702-a714-4407-b25e-faa9b85a4cf1,158119781,Roche,Data Scientist,on_site,"Mississauga, ON, Canada",2022-10-20T15:03:23.548Z,"

                    The Position

                    -

                    Role: Data Scientist

                    -

                    Type: FTE

                    -

                    -

                    Roche Data Scientists are essential leaders in driving and implementing a broad range of quantitative drug development strategies; they bring data to life and enable the organization to make the best possible data-driven decisions.

                    -


                    As a Data Scientist at Roche Pharma, you’ll actively shape the future of healthcare as a member of Data and Statistical Sciences (DSS) within Product Development (PD) and PD Data Sciences (PDD). You will be responsible for the strategic and analytical activities of the molecules and devices in our
                    pipeline on a level matching your seniority.

                    -


                    DSS activities span multiple therapeutic areas, a wide range of data types, and collaborations with a variety of experts, all with the goal to develop innovative healthcare solutions for patients and society.

                    -


                    Your responsibilities in support of our PDD products may include a wide variety of contributions: partnering with key stakeholders, working on the molecule portfolio, supporting specialized business areas, or contributing to key initiatives that shape our technical, business and healthcare environments. You may be a work product owner and leader, quantitative expert on a project team, or driver of key internal or external relationships.

                    -

                    - Delivers data analysis products such as data tabulations, analysis datasets, statistical tables/listings/figures, and interactive applications related to clinical trial data and analysis
                    - Supports study results reporting by producing these deliverables in collaboration with internal and external colleagues
                    - Provides analytical and programming expertise, and contributes to the production of programming packages and functions that can be used across studies and molecule programs
                    - Supports regulatory submissions to health authorities and contributes to data standardization in order to maximize reusability

                    -

                    -

                    Key Accountabilities

                    -

                    Data Sciences Leadership

                    -

                    - Accountable for the development and implementation of Data Sciences products.
                    - Lead and/ or support multiple elements of the drug development process across various phases of clinical trials.
                    - Lead and/ or support regular review of opportunities to simplify and innovate, and collaborate with experts in DSS, PDD and beyond to accelerate and deliver patient benefits faster.
                    - Lead and/ or support prioritization efforts, demonstrating urgency and taking smart risks to make considered decisions in a fast-paced, evolving environment.

                    -


                    Drug Development Strategy and Execution

                    -

                    - Lead or contribute technical expertise to multiple elements of the business, including: strategic planning; communication; and implementation.
                    - Support and/or represent DSS and PDD across multiple functions of the Roche global organization, which may include; Pharma Research and Early Development (pRED); Genentech Research and Early Development (gRED); PD; Market Access, Global Product Strategy (GPS); and Pharma Technical (PT).
                    - Purposefully collaborate and influence to support PDD to be at the forefront of our industry for Data Sciences.
                    - Collaborate with Global Health Authorities to support our product pipeline.
                    - Build strong partnerships and opportunities to collaborate and innovate with varying stakeholders across the Roche global organization in support of Roche products, programs, processes, systems, and/or compliance.

                    -


                    Career Development

                    -

                    - Continuously look for opportunities to broaden knowledge, capabilities and skill set to enable talent to flow into different Specialties and Disease Areas.
                    - Role model knowledge sharing within DSS, PDD, and beyond.
                    - Act as a coach, mentor, or buddy to help colleagues grow and develop.

                    -


                    Technical Accountability

                    -

                    - Contribute technical, therapeutic and business expertise within and external to DSS and PDD, which may include: Research and Development products; Drug development and clinical trial products; Current and new technologies; Working with external data and external organizations; Global Health Authority requirements; Data Sciences industry landscape; Statistical methods and techniques; Analytical strategies; Programming languages; Software development; Data standards; Therapeutic area expertise; Outsourcing expertise; Findable,
                    Accessible, Interoperable, and Reusable (FAIR) Data Principles; Data Citizenship; Data Privacy; Best practices; and Process improvements, etc.
                    - Explore ways of modernizing insight generation through new innovative tools and technology.
                    - Build expertise in novel data types, statistical methods, programming languages, and analytical methodology, which may include advanced analytics, special trial designs and types, and data handling methods.
                    - Demonstrate a good level of system awareness.

                    -


                    Qualifications

                    -

                    Additional educational and technical qualifications may be added based upon the Specialty being recruited.
                    - College/University degree – bachelor degree or higher or equivalent education in scientific, medical or relevant technical discipline.
                    - Experience in the pharmaceutical/biotech industry is preferred.
                    - Understanding of the end-to-end drug development lifecycle, particularly as relevant to the Specialty of interest.
                    - Track record of establishing successful internal partnerships and collaborations.
                    - Influential and confident communicator
                    - Demonstrates experience or is adaptable to utilizing and/or models modern ways of working consistent with an agile and growth mindset, and agile behaviors and methodologies.
                    - Fluency in written and spoken English
                    - Ability to work across multiple cultures and countries
                    - Knowledge of GCP, international regulations, guidelines and their application, and all other applicable compliance standards is a plus
                    - Willingness to travel as required

                    -

                    -

                    Who we are

                    -

                    At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

                    -

                    -

                    Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche's truly innovative culture.

                    -

                    -

                    As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

                    -

                    -

                    Roche is an Equal Opportunity Employer.

                    ",,https://careers.roche.com/global/en/job/ROCHGLOBAL202210137621EXTERNALENGLOBAL/Data-Scientist,aitalent@vectorinsitute.ai,https://www.roche.com/careers.htm,,,2022-11-03T15:03:00.000Z,False,0,12,57,https://talenthub.vectorinstitute.ai/jobs/158119781-data-scientist-at-roche,,expired,2022-10-18T15:03:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Associate,Masters Degree,New Posting, -18ec7284-30be-4878-9332-81e1ea594661,158154091,CIBC,"Analyst, Data Management and Analytics Enablement",on_site,"Ontario, Canada",2022-10-20T16:57:24.685Z,"
                    -

                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                    -

                    -

                    At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                    -

                    -

                    To learn more about CIBC, please visit CIBC.com

                    -

                    -

                    Job Description

                    -

                    -

                    What you’ll be doing

                    -

                    -

                    As an Analyst, Data Management and Analytics Enablement, you will be joining the Internal Audit department and the Data Analytics (DA) team, reporting to the Director, Data Management and Analytics Enablement. You will be responsible for making complex data more accessible, understandable and usable to our users, as well as creating tools that can help simplify and automate our processes. Incorporating design thinking, process design and user experience techniques to create intuitive dashboards for our users for insights and analytics

                    -

                    -

                    At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 2-3 days per week on-site, while other days will be remote.

                    -

                    How you’ll succeed

                    -
                      -
                    • Curious and Creative – we are looking for someone who is curious and creative, someone who is innovative and likes to try new concepts, as well as interpret themes and insights, and design an experience that makes complex insights more intuitive

                    • -
                    • Project Management and Process Design Skills – Our team constantly looks for ways to optimize and streamline processes to enhance efficiencies. A good understanding in User Interface and User Experience (UI/UX) design is preferred

                    • -
                    • Technical / Data Modelling Skills – prior experience in finding meaningful insights and design intuitive visualizations is beneficial. A background in web app design, data design, as well as DEV & UAT testing will be an asset

                    • -
                    • Data Management – Assist the director and the analytics team to source and manage new data sources for projects and ongoing audit engagements

                    • -
                    • Stay Current with Best Practices – our team constantly looks for ways to improve user experience and insights consumption, staying up to date with industry best practices in storytelling/data visualization, user experience, machine learning and big data analytics

                    • -
                    • Stay Current with Internal Audit – actively identify current and emerging trends, themes and topics in Internal audit analytics

                    • -

                    -

                    Who you are

                    +

                    PREFERRED QUALIFICATIONS

                      -
                    • You can demonstrate experience in: data management, UI/UX and dashboard design. Experience in PHP, Django, Python, HTML5, CSS, JavaScript, SQL, Alteryx, Hadoop (Cloudera)

                    • -
                    • You have a degree/diploma in Computer Science, Engineering, and/or a related field of study. It’s an asset if you have a background in graphical design

                    • -
                    • You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do

                    • -
                    • You act like an owner. You thrive when you\'re empowered to take the lead, go above and beyond, and deliver results

                    • -
                    • You\'re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends

                    • +
                    • Bachelor’s Degree (Business, Economics, Statistics, Mathematics, or Physical Sciences or related field is a plus); MBA or Graduate-level Degree is preferred
                    • +
                    • 7+ years of work experience with Bachelors; 5+ year of work experience with Masters; 4+ years of work experience with PhD/JD, preferably within pharmaceutical or biotech industry (commercial or clinical) and/or management consulting
                    • +
                    • Deep expertise in at least one of the following areas: Patient Insights, Investigator Insights, Forecasting, Competitive Intelligence, Data Analytics, Advanced Data Analytics, Resourcing, Information Visualization and/or Data Science
                    -

                    -

                    What CIBC offers

                    -

                    At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                    +
                    • Experience with various forecasting methods and techniques strongly preferred
                      -
                    • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                    • -
                    • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                    • -
                    • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                    • +
                    • Understands the advantages and limits of different analytical approaches
                    • +
                    • Considerable experience applying exploratory & confirmatory data analysis techniques that inform business decisions
                    • +
                    • Experience with scripting, statistical & programming languages and analytical tools preferred (i.e. Python, R, SQL, Matlab, SAS, Google/Adobe analytics)
                    • +
                    • Autonomous or semi-autonomous examination of data or content
                    • +
                    • Demonstrated use of sophisticated techniques, tools & languages typically beyond those of traditional data analysis to discover deeper insights, make predictions, or generate recommendations
                    -

                    -

                    What you need to know

                      -
                    • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                    • -
                    • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                    • +
                    • Experience acting as a strategic thought partner to teams; Entrepreneurial mindset, to transform the way we use data and analytics to enable decisions and hasten our delivery of medicines for our patients
                    • +
                    • Track record of effectively working in a matrix environment with international team members coming from scientific, business and operational backgrounds, using influence without authority
                    • +
                    • Expertise in standard analysis and presentation software (Excel, PowerPoint)
                    • +
                    • Ability to merge together data sets from disparate sources and report findings in a variety of formats and mediums
                    • +
                    • Persuasive written and verbal communication skills, easily communicating complex ideas.
                    • +
                    • Strong attention to detail
                    • +
                    • Experience managing outside vendors preferred

                    +

                    Who we are

                    +

                    A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

                    +

                    Unless entitled to a reasonable accommodation under applicable law, employees are required to be fully vaccinated against COVID-19 in accordance with customer requirements, the company’s health and safety obligations and/or applicable law or guidelines.

                    +

                    Diversity and Inclusion (D&I) are critical to the success of our company and our impact on society. We believe that by championing diversity of background, thought and experience, we can foster a sense of belonging and provide an environment where every employee feels valued, included, and able to contribute their best for the patients we serve. We’re focused on attracting, retaining, developing and advancing our people to their full potential by rewarding bold ways of thinking and integrating inclusive behaviors into every aspect of our work.

                    -

                    -

                    Job Location

                    Toronto-81 Bay, 34th Floor

                    Employment Type

                    Regular

                    -

                    Weekly Hours

                    37.5

                    Skills

                    -

                    Data Management, Django, JavaScript, MySQL, Python (Programming Language), Web Application Development
                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Analyst--Data-Management-and-Analytics-Enablement_2239047,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-11-03T15:20:00.000Z,False,0,3,23,https://talenthub.vectorinstitute.ai/jobs/158154091-analyst-data-management-and-analytics-enablement-at-cibc,,expired,2022-10-20T16:57:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -7f2b49da-6b62-4993-a154-60d73d6649c9,154838029,TD Bank Group,"Manager, Analytics & Insights",on_site,"Toronto, ON",2022-10-04T01:51:06.452Z,"
                    +

                    Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status. For more information about equal employment opportunity, visit our Genentech Careers Homepage.

                    +
                    ",,https://careers.roche.com/global/en/job/ROCHGLOBAL202211140613EXTERNALENGLOBAL/Senior-Analytics-Lead,feed-importer@jobboard.io,,,,2023-01-23T23:30:00.000Z,False,0,2,14,https://talenthub.vectorinstitute.ai/jobs/179960742-senior-analytics-lead-at-roche,,expired,2022-12-22T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Health,Senior Level,Bachelors Degree,New Posting, +36d7cb9d-3d70-4f41-983e-0523ee4289f9,183865780,TD Bank Group,Market Data Services Intern/Co-op,on_site,"Toronto, ON",2023-01-05T17:24:04.162Z,"

                    Company Overview

                    -

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    -

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    +

                    All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                    +

                    Why TD?

                    +

                    TD’s Colleague Promise: A better you. A better us.

                    +

                    A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                    Department Overview

                    -

                    What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                    -

                    We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                    +Global Operations and Business Services is a diverse and dynamic group of people delivering continued business success through leadership, collaboration, innovation and visionary thinking. We provide critical infrastructure services that support and control the trading, investment and corporate banking functions of TD Securities.
                    Within our core values, we foster a culture of diversity, inclusion and community support/giving.
                    Data is integral to the financial business. Recent years have seen the onset of big data transform financial industries, including the ways in which business is conducted, with financial services at the forefront of this wave. At TDS Data Services, Strategy and Governance, we are always looking for newer, more efficient ways to gather, manage, analyze and distribute data which means the possibilities for growth and innovation are endless.
                    We are a diverse and talented team within TD Securities that manages a wide range of data to help facilitate and drive the TD-Client relationship. Every single client that TD deals will have data associated with them to allow TD to trade or do business.
                    Data Services, Strategy and Governance is a team comprised of approximately 60 professionals that provides timely and accurate reference data services (client, credit, inventory, trading agreement, security, market and SSI) aligned to strong Governance programs, to key stakeholders globally by designing robust, scalable and flexible infrastructure and process through strategic design aligned to TD Securities’ mandate of Simplification.
                    Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.
                    Our Co-op/Intern Programming is offered with select Co-op and Internship roles, and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                    +
                      +
                    • Leadership talks with key Leaders from across the organization
                    • +
                    • Lunch and Learns on topics such as Innovation
                    • +
                    • Diversity and Inclusion and Personal Branding and so much more
                    • +

                    Job Description

                    -

                    -

                    About this Role

                    -

                    You’ll manage a group of diverse, inclusive and collaborative Business Insights & Analytics Specialists, taking an integrated approach as you build relationships with business owners and internal partners in TD. With your deep knowledge of the business world, its organizational makeup and practices, you’ll develop key insights to address their rapidly growing data and information needs, business objectives and opportunities for improvement. Your team will be integral in the delivery of ongoing analytics projects as well as comprehensive ongoing support. Most importantly, your leadership inspires leadership in others, as well as the drive to execute with speed and precision and help bring TD into the future of business.

                    -

                    We are looking for someone to lead and cultivate a sizeable team of Business Insights & Analytics professionals/specialists.

                    -

                    -

                    As the Manager, Analytics & Insights you will:

                    +

                    Global Operations and Business Services provide essential risk management and control to preserve the Bank’s assets / reputation. For every trade agreed / new product launched / market entered / transaction completed, it is Global Operations and Business Services’ responsibility to develop processes and controls for the business to successfully operate.

                    +

                    Our mission is ‘To Deliver World Class Service’ to all internal partners and external clients as we place a focus on people, processes and controls. To achieve this, we need individuals who are innovative, customer-focused and highly adaptive. The successful candidate will be responsible for taking ownership of daily tasks, providing all key stakeholders with exceptional service, and working closely with the team to deliver/exceed our business goals.
                    Market Data Services is an independent and centralized infrastructure control function responsible for sourcing, validating, storing and distributing all security reference and market data needed for the Market Valuation Process (MVP) and Independent Price Verification (IPV) process of various asset classes. The Market Data Services Team plays a vital role in ensuring the high of quality of data used for various risk reports on the trading portfolios of the Bank. The group primarily conducts market data validation using established and agreed-upon thresholds and manages the resolution of discrepancies. The group is also responsible for ensuring that complete and accurate security reference and market data flow into the profit and loss (PnL) reports and into the Risk Analysis Engine, which computes risk metrics such as Value at Risk (VaR).
                    In addition, the Team is engaged in change-the-bank initiatives related to proposed changes to market data, new trading products and/or new data platforms and opportunities to innovate and automate. This role will thus appeal to an individual who is comfortable taking ownership of complex and challenging initiatives, demonstrating an aptitude for being forward thinking and innovative.
                    The role will require extensive co-ordination and interaction with various Operations teams, including the regional data services teams. These teams work very closely and the Analyst is expected to maintain an open and effective relationship across TD Securities’ global footprint. The role will also require close interaction with Front Office desks, Technology and other professionals across the firm to mitigate risks associated with the Market Valuation Process.

                    +
                    +

                    +

                    Requirements

                    +
                    +Job Accountabilities

                      -
                    • Lead and manage a sizeable team of Analyst professionals and overall operation of a diverse group in an area of moderate risk, complexity or scope
                    • -
                    • Ensure an integrated approach with other business management areas, broader organization, and enterprise as appropriate
                    • -
                    • Deep knowledge and understanding of businesses /technology, and organizational practices/disciplines
                    • -
                    • Sound to advanced knowledge of external competition, industry and/or market trends in relation to own function/business
                    • -
                    • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                    • -
                    • Manage raised client issues or priorities and contact appropriate areas to resolve or minimize business problems/issues
                    • -
                    • Apply judgement, discretion and collaborate with internal partners to navigate and resolve ambiguous issues
                    • -
                    • Oversee and lead a large and/or highly complex, and diverse reporting function for an area of significant risk, complexity or scope
                    • -
                    • Review and/or build the presentation of insights back to executive leaders/business partners to drive strategic improvement
                    • -
                    • Collaborate with business partners to shape and prioritize ad hoc analysis
                    • -
                    • Set operational team direction, working in partnership to execute on common goals
                    • -
                    • Use data systems and various sources to ensure team is equipped to formulate well-defined solutions to solve business problems
                    • -
                    • Ensure team uses knowledge of data capabilities across the organization to build and deliver on business analytics and insights
                    • -
                    • Oversee the development and ongoing analysis for a business line or functional area employing both internal and external data from various sources
                    • -
                    • Manage workload of analytics team; assigning data request to staff based on skills and development needs
                    • -
                    • Support execution with excellence on key initiatives/programs
                    • -
                    • Design effective test and learn for various programs or scenarios
                    • -
                    • Develop analytic solutions to support insight generation that align to strategy and drive shareholder value
                    • -
                    • Lead large complex analytics projects to identify opportunities to further optimize our current product suite through self-initiated insights
                    • -
                    • Present insights back to executive leaders / business partners to drive strategic improvement
                    • +
                    • Generate accurate and complete Market Valuation Process (MVP) market data in accordance with the Global and associated business line IPV policies. This consists of daily validation and analysis of MVP data in the Asset Control system, as well as data reconciliation in all downstream systems.
                    • +
                    • Demonstrate the TD Framework and share commitments in daily activities. This consists of establishing strong relationships with Front Office, CMRM, Technology teams, audit teams, external vendors, and other stakeholders. The candidate is also expected to participate in team building and personal development activities, which aim to promote team harmony and contribute to a positive work environment.
                    • +
                    • Actively engage in all Market Data initiatives or implementation projects aimed to either reduce market data costs or improve effectiveness of internal controls and business support.
                    • +
                    • Actively contribute to new projects or requirements initiated by the Project Delivery Team, Front Office or CMRM teams. This consists of understanding the project requirements, ensuring that downstream impact and limitations are properly understood and addressed, and providing feasible solutions to identified roadblocks.
                    • +
                    • Manage the annual audit engagements by maintaining the accuracy and completeness assertions of all assigned processes. This consists of escalating any identified control gaps, ensuring that all late or missing market data uploads and related metrics are documented and appropriately explained. The candidate is also expected to ensure that all internal control processes are adequately documented in accordance with the Global Operations Standards.
                    • +
                    • Maintain a good understanding of the financial markets in general and the various products employed by the business to be able to contribute to the broader Business Services group as a subject matter expert on complex products pricing & risk issues.
                    • +
                    +

                    Job Requirements

                    +
                      +
                    • A general understanding of market environments and trading businesses.
                    • +
                    • Proficient knowledge of interest rate, foreign exchange, and commodity financial products
                    • +
                    • Detailed knowledge of financial theory and risk measurement techniques gained through academic study and practical experience.
                    • +
                    • Experience with implementation of IT projects from a business user side would be considered an asset.
                    • +
                    • Strong analytic, problem-solving, conceptualization and strategic thinking skills.
                    • +
                    • Independent thinker takes initiative to capitalize on opportunities or minimize problems.
                    • +
                    • Excellent PC skills and solid knowledge of Bloomberg, Reuters, Microsoft Excel.
                    • +
                    • VBA programming knowledge/skills are an asset
                    • +
                    • Enrollment in CFA/FRM program is an asset.
                    • +
                    • Excellent written and oral communication.
                    • +
                    • Excellent interpersonal and organizational skills.

                    -

                    Requirements

                    -
                    -What can you bring to TD?

                    -

                    Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    +

                    Additional Information

                    +
                    +

                    Education/Accreditations:

                    +
                    • An undergraduate degree in Business, Economics, Mathematics, Finance
                    +

                    Additional Information

                      -
                    • Undergraduate degree or technical certificate
                    • -
                    • Seven (7) or more years relevant experience
                    • +
                    • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                    • +
                    • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                    • +
                    • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                    +
                    Inclusiveness
                    +
                    • At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    Hours

                    37.5

                    +

                    Start Date

                    +
                    – Summer
                    +

                    Inclusiveness

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -
                    ",,https://jobs.td.com/en-CA/jobs/16838234/manager-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-11-03T14:54:00.000Z,False,0,1,22,https://talenthub.vectorinstitute.ai/jobs/154838029-manager-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16838234/manager-analytics-insights-toronto-ca/,expired,2022-10-04T01:51:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -d7a264e8-c99e-4688-9e0e-36e5459ea5f9,155399458,Scotiabank,Principal Data Engineer - CID&A,on_site,Canada : Ontario : Toronto,2022-10-06T20:20:26.374Z,"

                    -

                    -

                    -

                    -

                    Requisition ID: 164451

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    -

                    Purpose:

                    -


                    The CIDA team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is produced, consumed, and managed at an enterprise level to drive business value. The aim is to provide a truly productized offering of re-usable data that can be delivered iteratively through a streamlined process and framework in order to meet the velocity that will allow data consumers to focus on delivering business value. We are looking to build our delivery team with influencers, makers, creators and industry leaders who will drive us forward.

                    -


                    The role of the Principal Data Engineer operates within the Data Engineering & Delivery team. This valuable member of the team will be responsible for creating scalable automated systems for re-usable data assets, pipelines and services for the broad enterprise use. This role is focused on creating transformative change in how our organization interacts with data.

                    -


                    We are looking for someone who will work closely with other software engineers, data engineers, data architects, technology leads, analytics teams, infrastructure teams and other development/engineering teams in the bank to design and develop the technical solutions for enterprise data capabilities.

                    -


                    Key Accountabilities:

                    -


                    • Lead a high-functioning Product Engineering Team!
                    • Design, manage, and maintain data services and platforms to enable enterprise-wide use of data
                    • Be an evangelist and drive adoption of data services and automation tools
                    • Work closely with partner teams in Analytics, IT, various lines of business to create reusable assets that drive real business outcomes
                    • Participate in design discussions focused on scalability and design and implementation best practices.
                    • Work with other lead engineers and architects on breaking-down, scoping, and estimating tasks.
                    • Participate in planning and retrospective sessions, attend stand-ups, etc.
                    • Provide mentorship, peer review, and code review on data services & DevOps practices.
                    • Lead one or more products/services and define functions or features for data platforms.
                    • Support and maintain a successful product

                    -


                    Functional Competencies:

                    -


                    • 5+ years of experience in building and delivering scalable, enterprise-level software solutions
                    • 5+ years of software development and infrastructure experience, using a variety of object-oriented programming languages (e.g. Scala, Java, Python)
                    • 3+ years of experience leading and managing software development teams
                    • Proven experience designing service and microservice based architectures
                    • Strong knowledge and understanding of container and micro-services technologies (Docker, Kubernetes, APIM); domain expertise in data platform
                    • Functional experience developing applications using Cloud technologies (e.g. Google Cloud)
                    • Proven experience working with big data technologies (e.g. Spark, Airflow, MinIO, Rancher)
                    • Proven experience working with relational databases (DB2, MySQL, PostgreSQL).
                    • Strong Understanding of CI/CD (Jenkins, Git, Bitbucket, other).
                    • Experience working with traditional data warehousing / ETL tools (Talend, Informatica, DataStage, other).
                    • Experience in software engineering best practices such as code reviews, testing frameworks, maintainability and readability
                    • Knowledge and understanding of analytics & data science life cycle
                    • Experience in Agile/Product/Architecture.
                    • Experience in Cloud Data Solutions would be an asset
                    • Ability to solve ambiguous and typically novel problems that require the effort of several engineers and organizational alignment
                    • Experience in technical leadership of medium to large sized technical teams in delivering production solutions.
                    • Strong communication skills, both written and spoken
                    • Attention to details, high standards for quality.
                    • Desire to learn, grow yourself and your team.
                    • Passion for driving teams towards high performance and a deep pride in quality craftsmanship that delights users.
                    • Writing and maintaining related documentation.
                    • Ability to be an effective influencer on technology direction / an effective evangelist.
                    • Helps recruit + groom technology leaders and future leaders.

                    -

                    -

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Principal-Data-Engineer-9-ON-M5C2V9/563950917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-11-10T13:50:06.667Z,False,0,1,19,https://talenthub.vectorinstitute.ai/jobs/155399458-principal-data-engineer-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Principal-Data-Engineer-9-ON-M5C2V9/563950917/,expired,2022-10-06T20:20:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -50330d74-71c4-4f24-b213-6415b1b6aecd,155441653,Deloitte,"Data Engineer - GCP, Omnia AI",on_site,"Multiple Locations, Ontario, Canada",2022-10-07T02:46:05.566Z,"

                    -
                    -

                    Job Type: Permanent
                    Primary Location: Multiple Locations, Ontario, Canada
                    All Available Locations: Vancouver, BC; Montreal, QC; Ottawa, ON; Toronto, ON

                    -

                    Learn from deep subject matter experts through mentoring and on the job coaching
                    Partner with clients to solve their most complex problems
                    Be empowered to lead and have impact with clients, our communities and in the office.

                    -
                    -
                    -
                    -

                    -

                    You love to wrestle down data puzzles, you embrace the potential that data represents, you aspire to solve data problems no one else can, and above all, you want to use data to make impacts that matter – if that is you, then Omnia AI is where you want to be.

                    -
                    -
                    -

                    What will your typical day look like?

                    -
                    -

                    -

                    As a Data Engineer on our Data Modernization & Analytics team within the Omnia AI practice, you are passionate about data and technology solutions, are driven to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in technical data solutions including data integration, data warehousing, dimensional models, in-memory architectures, master data/reference management, and business analytics. You are enthusiastic about all things data, have strong problem-solving and analytical skills, are tech-savvy and have a solid understanding of software development.
                    Specifically, in this role, you will:

                    -

                    • Engineer and architect data integration and BI/DW solutions to enable business analytics and drive insights
                    • Translate business rules and requirements into data objects, produce associated data models and source to target mappings and write abstracted, reusable code components accordingly
                    • Plan/schedule tasks, lead small development teams, and mentor junior colleagues
                    • Facilitate technical meetings with client staff, and advise client with technical option analyses based on leading practices

                    -
                    -
                    -
                    -

                    About the team

                    -
                    -

                    -

                    Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with a disciplined focus on business outcomes.

                    -


                    Our Data Modernization & Analytics team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverage a different mix of traditional and innovative technologies to achieve business outcomes.

                    -
                    -
                    -
                    -

                    Enough about us, let’s talk about you

                    -
                    -

                    You are someone with:
                    • 2-3 years of experience with analysis, design, development, testing and deployment of analytics services
                    • 2-3 years implementation experience of distributed systems and data architecture - design and implement batch and stream data processing pipelines, knows how to optimize the distribution, partitioning, and MPP of high-level data structures.
                    • Experience working with and building data pipelines, applications to stream and process datasets at low latencies leveraging Google Cloud Platform (GCP) using Dataflow or Spark.
                    • Experience writing complex SQL queries, ETL optimization, designing, coding, and tuning big data processes using Apache Spark or similar technologies.
                    • Experience with streaming data using Dataflow, Spark, Flink, Kafka Streams, etc
                    • Completed Bachelor’s Degree (or higher) in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or related field is desired

                    -

                    If you believe you have what it takes to be a successful member of our team, please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

                    -

                    The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                    -
                    -
                    -
                    -

                    Why Deloitte?

                    -

                    Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                    -
                    • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                    • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                    • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                    • -
                    -


                    The next step is yours

                    -

                    Sound like The One Firm. For You?

                    -

                    At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                    -

                    By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                    -

                    ",,https://careers.deloitte.ca/job/Multiple-Locations%2C-Ontario%2C-C-Data-Engineer-GCP%2C-Omnia-AI/877143300/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-11-10T14:00:55.078Z,False,0,3,28,https://talenthub.vectorinstitute.ai/jobs/155441653-data-engineer-gcp-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Multiple-Locations%2C-Ontario%2C-C-Data-Engineer-GCP%2C-Omnia-AI/877143300/,expired,2022-10-07T02:46:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Masters Degree,New Posting, -6163295d-6724-42cc-825f-ad071ca1a348,155399440,Scotiabank,Data Engineer - CID&A,on_site,Canada : Ontario : Toronto,2022-10-06T20:20:23.206Z,"

                    -

                    -

                    -

                    -

                    Requisition ID: 164453

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    -

                    Purpose:

                    -

                    -

                    The Customer Insights, Data, and Analytics organization at Scotiabank is focused on building high-value solutions across the bank. Our organization consists of accomplished professionals who blend expertise in computer science, data, machine learning, and banking to deliver innovative projects that drive the business. A key part of success for the group is having scalable, fast, and continuously evolving data processes, and this is the responsibility of the Data Office Data Engineering team. As an integral part of the team, the Data Engineer will be responsible for all technical aspects of the data pipelines that power advanced and descriptive analytics work.

                    -

                    We have a dynamic work environment that will provide you with exposure to leaders in data & analytics, the opportunity to continuously learn, and support to be innovative.

                    -


                    KEY ACCOUNTABILITIES:

                    -


                    • Work with business teams across the organization (Canadian Banking, Intl. Banking, Treasury, GBM) to understand their data-driven goals
                    • Partner with advanced analytics teams to build powerful data assets and processes
                    • Be the subject matter expert on data driven processes, visualization workflows, and tools with which to analyze data
                    • Build automated data management and data quality capabilities into projects
                    • Build re-usable components to scale development across the organization, collaborating with other technical teams to streamline high-value data to the Analytics platforms
                    • Build re-usable managed datasets for consumption by both revenue generating analytics and operational corporate functions (e.g. finance, risk, etc.)
                    • Experiment & learn!

                    -


                    QUALIFICATIONS:

                    -


                    • Bachelor’s degree in Computer Science or Engineering, or related field or relevant experience
                    • Experience in finance is an asset
                    • Programming skills in Python, Scala, and /or Java. Experience with Spark is preferred
                    • Comfortable working in database environments. Experience with PostgreSQL, HDFS/Hive, MinIO an asset
                    • Exposure to Kubernetes, Airflow, Jenkins is an asset
                    • Familiarity with agile tooling to efficiently build as a team: git, Jira, Confluence, etc.
                    • Experience with visualization tools an asset: Power BI/Tableau
                    • Familiarity with data management capabilities (data registration, data quality, etc.) and ability to learn advanced data management toolsets
                    • High aptitude for diving in and picking up new technologies as required
                    • Eligible to work in Canada

                    -

                    -

                    -

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Data-Engineer-ON-M5C2V9/563950517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-11-07T14:47:00.000Z,False,0,7,34,https://talenthub.vectorinstitute.ai/jobs/155399440-data-engineer-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Engineer-ON-M5C2V9/563950517/,expired,2022-10-06T20:20:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -239176c1-8608-47d3-9f76-f6da34a6c369,170605614,TD Bank Group,Data Scientist II Applied Machine Learning,on_site,"Toronto, ON",2022-11-24T17:24:03.021Z,"
                    +
                    ",,https://jobs.td.com/en-CA/jobs/17547649/market-data-services-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-23T23:28:00.000Z,False,0,6,25,https://talenthub.vectorinstitute.ai/jobs/183865780-market-data-services-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17547649/market-data-services-intern-co-op-toronto-ca/,expired,2023-01-05T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +52972a7d-8498-4118-bfe2-8ec772fd0665,188134075,TD Bank Group,Senior Business Intelligence and Reporting Analyst,on_site,"London, ON",2023-01-18T17:24:04.325Z,"

                    Company Overview

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    @@ -113309,35 +120161,46 @@ d7a264e8-c99e-4688-9e0e-36e5459ea5f9,155399458,Scotiabank,Principal Data Enginee

                    Department Overview

                    -

                    What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                    -

                    As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                    -

                    TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                    +

                    What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.

                    +

                    The Business Intelligence group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization.

                    +

                    This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise.

                    +

                    Joining us in Business Intelligence & Reporting is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                    Job Description

                    -

                    You are an expert in the development of machine learning solutions. You have the knowledge and experience to surmount modelling, tooling and data challenges, and collaborate with technology and product owners to resolve platform issues. You have a razor-sharp focus on returning value fast through minimum viable products, incrementally and iteratively realizing product visions. You naturally provide your team with modelling, coding, and engineering best practices, enabling them to become experts themselves.

                    -

                    Day to day, you will:

                    -

                    · Lead the technical delivery of machine learning products; developing, reviewing & merging code, architecting solutions, leading constructive code reviews, assuring technical excellence and influencing your team to continually advance technical practices

                    -

                    · Guide Agile pods on continuous improvement, ensuring that the next sprint is delivered better than the previous

                    -

                    · Facilitate the professional & technical development of your colleagues through mentorship and feedback

                    -

                    · Self-direct, with the ability to identify meaningful work in down times and effectively prioritize in busy times

                    -

                    · Drive value through engineered assets, and by improving development processes, maximizing ROI & modelling velocity

                    -

                    · Be an exceptional collaborator in a high-interaction environment

                    +

                    Are you a big picture thinker? Fantastic! This is exactly the kind of thinking TD needs when it comes to our business intelligence support and analytics. In this role, we need you to take a holistic, high level approach to collection and reporting of data for major projects and initiatives across TD.

                    +

                    As data’s role in providing extraordinary products and services to our customers grows, we’ll look to the valued expertise you’ll provide in this role, to develop, adopt and evolve the best in class reporting and business intelligence capability.

                    +

                    Does this sound like you? You’re a natural leader, and can lead major initiatives and projects, joining business owners and partners to determine business needs and recommend solutions. Moreover, you have a talent for looking at a collection of data and drawing rare insights. In this role, we’ll need you to include those insights and commentary within the existing reporting packages you deliver. Finally, you’ll fit in well if you like to own your space and execute with speed and precision, relishing all challenges as opportunities to dig in, collaborate and take TD into the future of banking.

                    +

                    As a Senior Business Intelligence & Reporting Analyst, you will:

                    +

                    +
                  • Produce specialized reporting packages, dashboards and scorecards for businesses
                  • +
                  • Lead the implementation of initiatives in support of overall business/function strategy
                  • +
                  • Conduct analysis to provide improved BI to inform management leadership team
                  • +
                  • Craft complex and comprehensive BI reporting packages and dashboards utilizing data infrastructure, localized datamarts and external data sources
                  • +
                  • Validate the quality and integrity of the data included in all reporting
                  • +
                  • Develop substantial and insightful commentary/insights on new and existing reporting packages.
                  • +
                  • Work with business partners to understand business objectives and develop valuable reporting and provide ad-hoc data extracts
                  • +
                  • Understand business drivers, definitions and metrics in order to interpret findings, take action and provide relevant direction
                  • +
                  • Lead the development and implementation of portfolio reporting (e.g. acquisition, attrition, portfolio growth, profitability, etc.)
                  • +
                  • Provide (and may develop) complex reporting, analysis, and assessments at the functional or enterprise level
                  • +
                  • Work independently as the senior analyst / expert and may provide technical support to others
                  • +
                  • Maintain expert knowledge of all main data sources for the data used within the business unit and ability to effectively utilize these data sources for reporting purposes
                  • +
                  • Ideally have or acquire knowledge of broader enterprise reporting platforms and data sources and ability to integrate data across the enterprise
                  • +

                    `

                    Requirements

                    -What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    -

                    · Minimum three years of experience delivering major data science projects

                    -

                    · Master’s degree+ in a related discipline, or equivalent experience

                    -

                    · Expert coding proficiency: python, R, SQL and Scala, cloud architecture

                    -

                    · Expert technical skills: machine learning, data engineering, MLOps, cloud solution architecture, software development practices

                    -

                    · Communication, business acumen and stakeholder management competencies

                    +

                    What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    +
                      +
                    • Undergraduate degree or technical certificate
                    • +
                    • Five (5) or more years relevant experience
                    • +

                    Additional Information

                    -
                    #LI-hybrid
                    +
                    #tdcybersecurity #LI-Post

                    Hours

                    37.5
                    @@ -113345,174 +120208,349 @@ d7a264e8-c99e-4688-9e0e-36e5459ea5f9,155399458,Scotiabank,Principal Data Enginee

                    Inclusiveness

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -
                    ",,https://jobs.td.com/en-CA/jobs/17066663/data-scientist-ii-applied-machine-learning-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-12-28T14:29:10.920Z,False,0,6,48,https://talenthub.vectorinstitute.ai/jobs/170605614-data-scientist-ii-applied-machine-learning-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17066663/data-scientist-ii-applied-machine-learning-toronto-ca/,expired,2022-11-24T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -fa39f85d-c8d1-4c26-a5ab-643840f609a3,183865617,Bell Canada,Summer Internship 2023 - Emerging Technologies - Bell Business Markets ON/QC/Atlantic,on_site,"Mississauga, Ontario",2023-01-05T17:21:04.278Z,"

                    As a Summer Intern in Bell Business Markets, you will learn how the work we do enables the workforce of the future, and helps businesses transform and grow. Over the course of the summer, you will have the opportunity to drive B2B solutions, develop business opportunities, collaborate across the business, and learn from industry experts. Leverage the country’s largest voice, data, and wireless network, and leading end-to-end solutions, to support the aspirations of Canadian businesses.

                    +
                    ",,https://jobs.td.com/en-CA/jobs/16818052/senior-business-intelligence-and-reporting-analyst-london-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-24T17:29:03.629Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/188134075-senior-business-intelligence-and-reporting-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16818052/senior-business-intelligence-and-reporting-analyst-london-ca/,expired,2023-01-18T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +6462710a-07b2-4602-ad0c-e2ba8998aa7b,192001026,BMO Financial Group,HR Risk Analytics,on_site,"Ontario, Canada",2023-02-02T17:12:03.353Z,"
                    +

                    Address:

                    100 King Street West

                    +

                    +

                    Job Family Group:

                    Data Analytics & Reporting

                    +

                    +

                    +

                    +

                    Applies knowledge of advanced analytic algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

                    +
                      +
                    • Acts as a trusted advisor to assigned business/group.
                    • +
                    • Influences and negotiates to achieve business objectives.
                    • +
                    • Recommends and implements solutions based on analysis of issues and implications for the business.
                    • +
                    • Assists in the development of strategic plans.
                    • +
                    • Identifies emerging issues and trends to inform decision-making.
                    • +
                    • Understands and analyzes complex business problem, then formulates data-driven hypotheses to drive business value.
                    • +
                    • Builds effective relationships with internal/external stakeholders and ensures alignment.
                    • +
                    • Supports data collection, integration, and retention requirements for data.
                    • +
                    • Develops experimental design approaches to validate findings or test hypotheses.
                    • +
                    • Defines innovative data solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets.
                    • +
                    • Diagnoses and resolves predictive / analytical model performance issues while monitoring system performance and implementation of efficiency improvements.
                    • +
                    • Applies innovative and best practices to advanced analytics services to ensure high quality standards.
                    • +
                    • Sets up change control and testing processes to ensure the quality and consistency of ongoing maintenance work.
                    • +
                    • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • +
                    • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                    • +
                    • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
                    • +
                    • Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
                    • +
                    • Applies scripting / programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                    • +
                    • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, refine hypotheses.
                    • +
                    • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                    • +
                    • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                    • +
                    • Performs experimental design approaches to validate finding or test hypotheses.
                    • +
                    • Uses the appropriate algorithms to discover patterns.
                    • +
                    • Builds effective relationships with internal/external stakeholders and ensures alignment.
                    • +
                    • Supports development of tools and delivers training for data analytics and AI.
                    • +
                    • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • +
                    • Leads/participates in the design, implementation and management of core business/group processes.
                    • +
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                    • +
                    • Provides specialized consulting, analytical and technical support.
                    • +
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • +
                    • Works independently and regularly handles non-routine situations.
                    • +
                    • Broader work or accountabilities may be assigned as needed.

                      Qualifications:

                      +
                    • +
                    • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                    • +
                    • Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience
                    • +
                    • Experience with distributed computing language (e.g. Hive / Hadoop/ Spark) & cloud technologies (e.g. AWS Sagemaker, AzureML).
                    • +
                    • Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, , Perl) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
                    • +
                    • Deep proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.
                    • +
                    • Deep knowledge and technical proficiency gained through extensive education and business experience.
                    • +
                    • Verbal & written communication skills - In-depth.
                    • +
                    • Collaboration & team skills - In-depth.
                    • +
                    • Analytical and problem solving skills - In-depth.
                    • +
                    • Influence skills - In-depth.
                    • +
                    • Data driven decision making - In-depth.
                    • +
                    +

                    +

                    +

                    We’re here to help

                    +

                    +

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    +

                    +

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    +

                    +

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    +

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    +

                    +

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/HR-Risk-Analytics_R220027155?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-02-17T17:09:00.000Z,False,0,2,14,https://talenthub.vectorinstitute.ai/jobs/192001026-hr-risk-analytics-at-bmo-financial-group,,expired,2023-02-02T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,PhD,New Posting, +4e69f18a-c446-413c-a973-39004fca32f8,192002193,Scotiabank,Manager AML/ATF Models & Analytics,on_site,Canada : Ontario : Toronto,2023-02-02T17:22:03.406Z,"

                    -

                    Be a part of the Bell Business Markets Summer Intern Program, as we evolve our product roadmaps, integrate our wireless and wireline business, launch new solutions with agility, collaborate intimately with partners, make recommendations to clients, and rise to the challenges of Canadian businesses, all built on Canada’s largest network with world-class security.

                    -

                    Bell Business Markets recognizes the diverse skills and interests of students, which is why it has 4 pathways to kick-start your summer career and secure a position in our best-in-class Graduate Leadership Program upon graduation.

                    -
                    -
                    -
                    -

                    Why Join The Program

                    -
                    -
                    -

                    Benefit from training and ongoing support from Bell leaders.

                    -
                      -
                    • Interact with an amazing peer-to-peer support network.
                    • -
                    • Gain valuable insights and experience working with emerging technologies.
                    • -
                    • Develop your analytical, problem-solving, project management and leadership skills with real, customer-facing challenges.
                    • -
                    • Secure advanced eligibility to our best-in-class Graduate Leadership Program once graduated.
                    • -
                    -

                    -

                    Emerging Technologies

                    -
                      -
                    • Technology Specialist (Network)
                    • -
                    • Business Intelligence Analyst
                    • -
                    • Data Scientist (Data Engineering, Software Development)
                    • -
                    • Product Consultant (Cloud, IoT, Contact Center, Collaboration)
                    • -
                    +

                    Requisition ID: 172662

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    Depending on which role you are in, you may:

                    -
                      -
                    • Develop sustainable, repeatable and quantifiable business process improvements.
                    • -
                    • Develop go-to-market strategies for next generation telecommunication products and services.
                    • -
                    • Collect and analyze data to initiate, develop and recommend business practices and procedures that focus on enhanced customer service, increased productivity, and cost reduction
                    • -
                    • Work with software architects, network architects, product owners, and developers to contribute to software design, integration and deployment.
                    • -
                    • Contribute to and continuously evolve the multi-cloud and hybrid cloud adoption and optimization best practices and tools.
                    • -
                    • Partner with customers through a strategic and consultative sales approach to understand their business needs, issues, strategies, and priorities
                    • -
                    -
                    -
                    -
                    -
                    -

                    What we're looking for

                    -
                    -
                    -

                    Future thinkers with a passion for technology and an interest in telecommunications

                    +

                    +

                    Purpose

                    +

                    +

                    The role Manager, AML/ATF Models and Analytics is responsible for applying sophisticated predictive/analytical modelling techniques and latest AML/ATF rules and scenarios to new models AND for enhancing the performance of existing Name and Payment Screening models. This role contributes to the overall success of the Global Risk Management’s AML/ATF team by ensuring specific individual goals, plans, and initiatives are executed / delivered in support of the team’s business strategies and objectives. Also ensures all activities conducted follow governing regulations and internal policies and procedures

                    +

                    +

                    Accountabilities

                    +

                    +

                    • Conducts testing, tuning, development and implementation of AML/ATF name/payment screening rules and models.
                    • Vets the effectiveness of screening systems and provide recommendations for improvement based on identified risks/gaps.
                    • Identifies and demonstrate value in opportunities to improve the efficiency of the models
                    • Prepare model documentation to support the model development and validation process.
                    • Properly identifies, reports and escalates issues which may impact the AML/ATF program resulting from performance, functionality or changes within name/payment screening applications
                    • Deep dive into customer/payments source data, perform data profiling and analysis to determine data opportunities for AML/ATF model and predictive data analysis

                    +

                    +

                    Education / Experience / Other Skills

                    +

                    +

                    • Working experience in data extraction, manipulation and reporting, with advanced Python, SQL programming skills.
                    • Creative, able to see the big picture and draw recommendations based on detailed knowledge of the systems/data.
                    • Nice to have knowledge of AML/ATF sanctions’ screening solutions (FircoSoft, HotScan and Bridger)
                    • Tech savvy with knowledge of systems architecture and interaction of multiple server environments.
                    • Strong time management skills and ability to handle multiple tasks/projects simultaneously.
                    • Sound knowledge of banking and payment operations.
                    • Expertise in modelling methods and statistical analysis would be an advantage.
                    • Knowledge of data visualization tools such as PowerBI would be an advantage.
                    • Bachelor’s degree or higher in Data science, Statistics, Mathematics, Engineering or another quantitative field preferred

                    +

                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Manager-AMLATF-Models-&-Analytics-ON-M5H1B6/567380617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-17T17:10:00.000Z,False,0,2,12,https://talenthub.vectorinstitute.ai/jobs/192002193-manager-aml-atf-models-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager-AMLATF-Models-&-Analytics-ON-M5H1B6/567380617/,expired,2023-02-02T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +bbeeed65-dba5-4bcb-8150-04be8811ee22,188134647,EY,SAP Senior Consultant - Data Migration,on_site,Toronto,2023-01-18T17:37:03.440Z,"

                    SAP Senior Consultant - Data Migration

                    Location: Toronto
                    Other locations: Anywhere in Country
                    Date: Feb 11, 2023
                    At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
                    +
                    +

                    The opportunity

                    +

                    +

                    EY Consulting Services is a fast-moving, high-growth area with huge potential. We are currently seeking a Senior Consultant to join our SAP Data and Analytics team. This role offers variety, responsibility, and the opportunity to realize your leadership potential. We are looking for an individual who combines experience leading SAP projects with an aptitude for driving sales pursuits and for helping grow our business.

                    +

                    +

                    Your key responsibilities

                    +


                    As a Consultant, you'll assist in developing applicable methodologies, tools, approaches, points of view, thought leadership and accelerators to differentiate EY in the ERP advisory market. These are shared with all EY market facing organizations to provide consistency and common platforms with which to go to market. A willingness to travel to meet client needs.

                    +

                    +

                    You will participate in large scale SAP client engagements and stay abreast of current business and industry trends relevant to the client's business and to your domain of expertise. You should be a self-starter with excellent verbal and written communication skills. Should be comfortable interfacing with a client on a daily basis. This role requires daily interaction with the client at many levels.

                    +

                    +

                    Skills and attributes for success

                    +
                    • Effectively team with diverse skills and backgrounds and foster an innovative and inclusive team-oriented work environment.
                    • Strong written and verbal communication, presentation, client service and technical writing skills, coupled with a strong interest in further developing and integrating enterprise domain knowledge with technology skills.
                    • Demonstrate characteristics of a forward thinker and self-starter that thrives on new challenges and adapts quickly to learning new knowledge.
                    • Ability to lead a team of consulting professionals on multiple projects.
                    • A strong work ethic.
                    • +
                    +


                    To qualify for the role you must have

                    +
                    • Should have S/4 HANA LTMC and LTMOM experience, Experience in Syniti ADM is a bonus
                    • Minimum 4-5 years of experience in SAP Data Migration LTMC and LTMOM Technical load and trouble shoot experience
                    • Prior experience with Syniti ADM is preferred.
                    • Prior experience in migrating master Data objects like Materials, Business Partner ( Customer/Supplier) , PIR, BOM,
                    • Including expertise in Data Migration including Extraction, Transformation, Cleansing and Loading (ETL) from Legacy systems to S4 HANA.
                    • In-depth understanding of Data Cleansing, Mapping and Conversion rules, writing extraction and load programs.
                    • Deep understanding of Data validation techniques and familiarity with creation of SAP Queries
                    • +
                    +


                    Ideally, you’ll also have

                    +
                    • Prior consulting experience and a demonstrated history of driving revenue within existing clients and in developing new prospects at the ""C"" level of Fortune 500 companies.
                    • +
                    +


                    What we look for

                    +

                    +

                    We are looking for an individual who combines experience leading SAP projects with an aptitude for driving sales pursuits and for helping grow our business. We are looking for someone with strong vision and drive and with a desire to stay on top of trends. We are looking for someone who is passionate about SAP, project management and developing and managing high-performing teams.

                    +

                    +

                    What we offer

                    +

                    +

                    At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

                    +

                    +

                    We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

                    +
                    • Support and coaching from some of the most engaging colleagues in the industry
                    • Learning opportunities to develop new skills and progress your career
                    • The freedom and flexibility to handle your role in a way that’s right for you
                    • +
                    +


                    Diversity and Inclusion at EY

                    +

                    +

                    Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. From our actions to combat systemic racism and our advocacy for the LGBT+ community to our innovative Neurodiversity Centre of Excellence and Accessibility initiatives, we welcome and embrace the diverse experiences, abilities, backgrounds and perspectives that make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                    +
                    +
                    EY | Building a better working world
                    +
                    +
                    EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
                    +
                    +
                    Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
                    +
                    +
                    Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
                    ",,https://careers.ey.com/ey/job/Toronto-SAP-Senior-Consultant-Data-Migration-ON-M5H-0B3/891805201/,feed-importer@jobboard.io,,,,2023-02-18T19:56:43.274Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/188134647-sap-senior-consultant-data-migration-at-ey,https://careers.ey.com/ey/job/Toronto-SAP-Senior-Consultant-Data-Migration-ON-M5H-0B3/891805201/,expired,2023-01-18T17:37:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, +8654b6ad-afb5-4806-a727-6ffcd48ed00b,188134381,Borealis AI,Research Director,on_site,"Ontario, Canada",2023-01-18T17:27:02.336Z,"
                    +

                    What’s the opportunity?

                    +

                    Borealis AI is looking for a Research Director. The role includes directing a team of machine learning researchers and managing other research team leads with the goal of delivering AI-based products for the financial services industry. In addition, you will provide leadership and deliver on initiatives that improve the effectiveness of the entire research organization.

                    +

                    Your responsibilities include:

                      -
                    • Great collaborators with the ability to communicate effectively at all levels of the organization.
                    • -
                    • Life-long learners: curiosity, initiative, and a passion for learning new skills
                    • -
                    • Eagerness to embrace change and take on new challenges
                    • -
                    • Solid analytical skills and strategic mindset
                    • +
                    • To join the Borealis AI research leadership team and shape the research organization as a whole and contribute to its overall performance.
                    • +
                    • To work with the Borealis AI business development team to identify viable artificial intelligence products that will add significant value to RBC stakeholders.
                    • +
                    • To lead a team of machine learning researchers delivering cutting edge AI technology to support these products.
                    • +
                    • To partner with Borealis AI’s product and engineering teams to ensure the seamless delivery of these products.
                    • +
                    • To manage other research team leads and provide guidance and support.
                    • +
                    • To help recruit, mentor and retain a high-performing research team across Borealis AI.
                    -

                    -

                    Eligibility

                    +

                    You’re our ideal candidate if you have:

                      -
                    • You are graduating in spring 2024 and currently working towards a Bachelors degree or Graduate degree (Masters) in computer science, information technology, security, engineering, math/statistics, economics, business analytics, or general business
                    • -
                    • OR you are graduating in spring 2024 and currently working towards a College Diploma / CGEP in computer science, information technology, security, engineering, math/statistics
                    • -
                    • Applicants with Graduate degrees (Masters) or who pursued further education, must have started their program no more than one year since completing their undergraduate degree/diploma. Gaps of greater than 1 year between educational programs will not qualify.
                    • +
                    • A Ph.D. degree in Computer Science or a related technical field;
                    • +
                    • 10 years of experience leading research teams in machine learning in a product-centric environment or equivalent experience;
                    • +
                    • A track record of successful people management including mentoring junior researchers and engineers, experienced high-performance researchers, and research managers;
                    • +
                    • Experience delivering successful high-impact machine learning products
                    • +
                    • Involvement across the research and development lifecycle, from prototyping to production, engaging with stakeholders to develop solutions that meet business needs;
                    • +
                    • Broad research interests and detailed knowledge of cutting edge machine learning techniques across multiple areas;
                    • +
                    • The ability to formulate and drive multiple research projects independently;
                    • +
                    • Exceptional communication and leadership skills;
                    • +
                    • A history of high quality academic publications (e.g., NeurIPS, CVPR, AISTATS, ICLR, ICML etc.) and community recognition for excellence;
                    -

                    -

                    Locations

                    +

                    What\'s in it for you?

                      -
                    • Ontario; GTA
                    • -
                    • Quebec; Montreal
                    • -
                    • Atlantic Region
                    • +
                    • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                    • +
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                    • +
                    • Ability to make a difference and lasting impact from a local-to-global scale
                    -
                    -
                    -
                    +

                    About Borealis AI

                    +

                    Borealis AI, a RBC Institute for Research, is a research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                    +

                    Inclusion and Equal Opportunity Employment

                    +

                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                    -

                    #EmployeeReferralProgram

                    +
                    ",,https://www.borealisai.com/careers/?gh_jid=6466710002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-02-18T19:54:04.061Z,False,0,1,16,https://talenthub.vectorinstitute.ai/jobs/188134381-research-director-at-borealis-ai,,expired,2023-01-18T17:27:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,PhD,New Posting, +15068c90-447d-4616-8223-0ddda73661d4,197102969,Scotiabank,"Senior Manager, Data Analytics - CID&A",on_site,Canada : Ontario : Toronto,2023-02-16T17:22:01.928Z,"

                    -

                    Adequate knowledge of French is required for positions in Quebec.

                    -

                    Additional Information:

                    -

                    Position Type: Management
                    Job Status:
                    Co-op
                    Job Location:
                    Canada : Ontario : Mississauga
                    Flexible work profile :
                    Mobile
                    Application Deadline: 02/28/2023

                    -

                    All team members are expected to reside in Canada and within a reasonable commuting distance from their work location to ensure that they are able to come to the office as required, whether the visit is planned or unplanned.

                    +

                    Requisition ID: 173538

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    Please apply directly online to be considered for this role. Applications through email will not be accepted.

                    +

                    Purpose:

                    +


                    Join a purpose-driven team, committed to achieving a once-in-a-lifetime transformation of Canada’s most international bank. Scotiabank is on an epic journey to migrate all its global data and analytics platforms to the cloud—and you could help us make it happen!

                    +


                    As a member of the Customer Insights, Data & Analytics (CIDA) team, the Senior Manager of Program Portfolio Management, Enterprise Data & Analytics Platform Transformation is responsible for the design and execution of critical program strategy, governance and reporting processes, tools and assets. A critical element of success for this role is the ability to tell compelling stories for crystal clear and concise communication of program achievements, progress, and roadblocks to all stakeholders—at every level of the organization (from Executive to working teams). The incumbent will have the opportunity to:

                    +


                    • Apply strategic thinking, problem-solving and compelling storytelling to create impactful reporting, communications and narratives to help drive decision-making and change management.
                    • Be empowered to lead and have an impact on a highly complex, fast-paced and global transformation journey as part of a high-performing team of data, analytics and infrastructure (cloud & legacy technology) experts.
                    • Work collaboratively with diverse stakeholder groups across Scotiabank to solve problems and deliver practical solutions to difficult challenges.
                    • Learn from deep subject matter experts and industry leaders through mentoring, networking, on the job coaching and bespoke data, analytics and cloud training.
                    • Gain visibility to senior and Executive management at Canada’s most international bank while working in a supportive and flexible work environment/team.
                    The candidate should be customer and results focused, have keen analytical interest and the ability to impact and influence. This individual should be energized operating within a dynamic and fast-paced environment and find deep satisfaction from building effective solutions to difficult problems.

                    -

                    At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                    +

                    Key Accountabilities:

                    +


                    • Support the strategy, governance, and implementation of the multi-year cloud transformation program across all geographies and business units.
                    • Provide effective and pragmatic program management, delivery and storytelling expertise to simplify program messaging and narratives.
                    • Establish and maintain the overall program roadmap and related assets, processes, methodologies and accelerators.
                    • Collaborate with cross-functional program stakeholders to complete planning and prioritization activities and to drive alignment across global and local roadmaps and project plans.
                    • Contribute to the design, build and ongoing improvement of effective governance, reporting & communications processes, templates, and tools.
                    • Coordinate regular program governance and reporting forums and processes including project/program tracking, reporting and escalations/issues management (e.g., RAID log).
                    • Proactively identify, report and escalate program issues, challenges and risks and collaborate with internal/external teams to understand business needs and facilitate agile problem solving.
                    • Help drive decision-making and accountability by supporting cross-functional executive and senior management forums to align on opportunities, challenges and required actions.
                    • Support and contribute to the team’s development and dissemination of key program deliverables, collateral, reporting, and communications.
                    • Effectively communicate and build rapport with team members, stakeholders and partners across both technology and business functions.
                    • Navigate complex organizational and stakeholder challenges, constraints, and roadblocks to effectively achieve the program’s objectives.
                    • Maintain a culture of exceptional customer service and cultivate an internal brand as a leading program advisor.
                    • Foster an environment of continuous personal growth.

                    -

                    Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                    +

                    Qualifications:

                    +


                    • University Degree in business, engineering, or technology (MBA an asset), or equivalent.
                    • Minimum 3 years working in a program or project management, strategy or consulting role within the financial services industry (preferred).
                    • Strong project management skills with excellent track record managing projects/programs with high complexity and dealing with multiple stakeholders.
                    • Robust knowledge of and ability to apply business strategy, planning, and relationship management as well as evaluate and execute change activities.
                    • Superior communication skills including effective storytelling and stakeholder management in an Enterprise transformation context.
                    • Excellent written, verbal and presentation skills in English and Spanish; ability to summarize complex ideas in very simple but accurate terms.
                    • Tenacious problem-solving skills and an ability to work with ambiguity to advance deliverables.
                    • Ability to work flexibly and prioritize in a fast-paced and deadline-driven environment; resourceful and determined about getting the job done with excellent teaming skills.
                    • Ability to identify, manage and collaborate with multiple stakeholders across a global footprint.
                    • Ability to make an impact, influence and achieve results with effective negotiation, problem-solving and communication skills.
                    • Knowledge of risk management environment, standards and regulations within a financial services organization.
                    • Ability to adapt and pivot within a team environment to changing program requirements.
                    • Strong organizational skills and meticulous attention to detail.
                    • Thorough working knowledge of Microsoft Office suite; superior PowerPoint and Excel skills (Confluence, JIRA and SharePoint skills are an asset).
                    • Knowledge of cloud data platforms, capabilities, and trends is an asset (but not required).

                    -

                    Created: Canada, ON, Mississauga

                    -

                    Bell, one of Canada's Top 100 Employers.

                    ",,https://jobs.bell.ca/ca/en/job/BECACA407508EXTERNALENCA/Summer-Internship-2023-Emerging-Technologies-Bell-Business-Markets-ON-QC-Atlantic?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2023-01-11T17:26:02.951Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/183865617-summer-internship-2023-emerging-technologies-bell-business-markets-on-qc-atlantic-at-bell-canada,BECACA407508EXTERNALENCA,expired,2023-01-05T17:21:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Internship/Co-op,Bachelors Degree,New Posting, -e31bc78a-7fe8-464b-8ecf-922e5649f0f5,176655737,Scotiabank,"Associate, ALM Analytics",on_site,Canada : Ontario : Toronto,2022-12-12T17:22:03.252Z,"

                    -

                    -

                    -

                    -

                    Requisition ID: 169074

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    -

                    Purpose

                    -

                    -

                    The Associate, ALM Analytics, role is part of a dynamic and innovative analytics team where you will be directly involved in developing high performance analytics that support traders, strategists, and senior management in Scotiabank’s head office Treasury. The Balance Sheet Analytics area brings together fresh ideas and perspectives to the projects we work on. Working within a top-tier Canadian bank treasury unit, you will be in a unique position to learn all aspects of how the bank operates and your contributions will directly be used to provide truly valuable insights into managing a large international bank’s balance sheet.

                    -

                    -

                    The Associate, ALM Analytics, position is ideal for a recent advanced business degree holder (MBA or equivalent) with a technical background (Engineering, Physics, Computer Science) who is interested in working in the financial industry. The successful candidate must demonstrate a keen interest of the financial industry, and have strong command of multiple programming languages and data management software. As part of the Balance Sheet Analytics team, he/she will write, implement, test, and maintain data and models for hedging and balance sheet management purposes. Further, the candidate will be responsible for performing scenario analyses on the regulatory projects and develop reports for Trading teams to use.

                    -

                    -

                    The candidate thrives in a collaborative team environment, building and enhancing internal relationships with Finance, Traders and Risk Management. They must be able to multi-task and demonstrate an ability to identify process improvement opportunities. This is a position that requires a strong commitment, with tight deadlines that result in competing demands and heavy workload at peak times.

                    -

                    -

                    Accountabilities

                    -

                    -
                    • Maintain, source, and develop resolutions for analytical data used by the Treasury model development, trading, and analysis teams.
                    • Formulate, propose, and communicate with team members on structural interest rate risk methodologies on a product and business line basis.
                    • Utilize, run, and test sophisticated quantitative tools to forecast structural interest rate risk exposures.
                    • Design and produce interim deliverables through rapid prototyping, with requirements and solutions developed on an iterative basis, until a final production solutions is created.
                    • Work closely with the Hedging Team, Global Risk Management, and Business Line Finance/Comptroller teams on reporting requirements and exposure measurement issues.
                    • Collaborate with peers on designing high level solutions strategy, and assisting in completing cost/benefit analysis.
                    • Assist the team in proposing and communicating to management and business units on potential changes to products and analytical measurement methodologies on both product-by-product and portfolio basis.
                    • -
                    -

                    -

                    Skills, Education & Experience

                    -

                    -
                    • Strong and/or expert knowledge in statistical and data management software: Python, MatLab, SQL.
                    • Strong understanding of interest rate market dynamics.
                    • Solid quantitative and modeling development experience.
                    • Strong presentation and communication skills, both oral and written Excellent analytical, problem-solving, conceptualization, and strategic thinking skills Ability to communicate technical and analytical concepts to a broad range of stakeholders
                    • At least one Masters-level degree in Business, Financial Engineering, or highly technical disciplines (i.e. engineering, physics, or applied mathematics), plus an undergraduate degree in physics, engineering, or computer science.
                    • Minimum 2 year of experience at a top-tier financial institution, with knowledge in interest rate products, data analytics, and risk management; or For new graduates, demonstrate top tier academic standings in courses related to quantitative financial and technical programming disciplines
                    • Trade floor analytics experience is desired but not required.
                    • -
                    -

                    -

                    -

                    treasuryjobs

                    -

                    -

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Associate%2C-ALM-Analytics-ON-M5H1H1/565859717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-11T20:37:17.046Z,False,0,10,39,https://talenthub.vectorinstitute.ai/jobs/176655737-associate-alm-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Associate%2C-ALM-Analytics-ON-M5H1H1/565859717/,expired,2022-12-12T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -0e965abc-c924-4f9c-ae16-8f55492381d2,176159085,Accenture,Data Science Senior Manager,on_site,"Toronto, ON, Canada",2022-12-11T17:29:02.815Z,"
                    -

                    Job Description

                    -
                    -

                    -

                    We Are
                    The people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Visit us to find out more about Accenture Applied Intelligence.

                    -

                    -

                    You Are
                    An expert at solving real-world challenges with data, analytics, AI and creativity. Yes, creativity! You know the theory and you have hands-on expertise from studies, experience and/or self-taught projects. As a senior manager working at Accenture you will work on a team with diverse clients and industries delivering solutions to help clients turn data into actionable insights that drive tangible outcomes, improve performance and help clients lead the market.

                    -

                    -

                    What You’ll Do
                    • Collaborate with prospective clients to solve large & complex business problems with data, analytics & AI
                    • Shape narrative for sales origination and educate account teams on data, analytics, AI applicability to their industry/clients
                    • Lead multiple teams and engagements to engineer & deliver value for clients
                    • Play an active role building a practice including capability development, recruitment, and mentorship
                    • Help drive the innovation agenda, including thought leadership publication
                    • Stay abreast of technologies, academic research & hands-on techniques for cloud, data, analytics & AI

                    show more
                    -

                    Qualifications

                    -

                    -

                    What We’re Looking For
                    • Extensive experience engaging with client senior leadership on complex business problems
                    • Expertise developing solution offerings and communicating findings to executive audiences
                    • Well versed with managing data science teams and engagements, and providing technical leadership
                    • Extensive experience embracing challenges with cloud, data, analytics & AI lifecycle in enterprise setting
                    • 8+ years of consulting experience or relevant industry experience with proven track record of making significant client impact and value creation

                    -

                    -

                    Bonus Point If
                    • Graduate degree in data science or related disciplines: e.g. Mathematics, Statistics, Computer Science, Economics, Engineering and Physics
                    • Ability to build, manage and foster a team-oriented environment, working creatively and analytically in a problem-solving environment
                    • Certifications from a cloud service provider in Cloud Architecture, Engineering or DevOps
                    • A blend of data science capability, industry and consulting expertise
                    • High initiative and a desire/ability to persist through obstacles/ambiguity
                    • Excellent written and oral communication skills with ability to clearly communicate findings, concepts and ideas
                    • English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company\'s activities to avoid this requirement.

                    -
                    -

                    Locations

                    -
                    Ontario - Ottawa, Ontario - Toronto, Quebec - Montreal
                    -
                    -
                    -

                    -Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements -

                    -
                    -

                    Equal Employment Opportunity Statement

                    -

                    -

                    All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                    -

                    -

                    Accenture is committed to providing veteran employment opportunities to our service men and women.

                    -

                    -

                    Requesting An Accommodation

                    -

                    -

                    Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                    -

                    -

                    If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                    -

                    -

                    Other Employment Statements

                    -

                    -

                    Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                    -

                    -

                    The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company\'s legal duty to furnish information.

                    -
                    -
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                    Share
                    -
                    Share
                    -
                    Job Link:
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                    -

                    COVID-19 update: The safety and well-being of our candidates, our people, and their families continue to be a top priority. Please be aware that Accenture requires all new employees to be fully vaccinated against Covid-19 as a condition of employment. Accenture will consider requests for accommodation based on human rights grounds (e.g., medical/disability, religious/creed, other) to this vaccination requirement during the recruiting process.

                    -
                    -
                    ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00129048_en&title=Data+Science+Senior+Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2023-01-11T21:01:42.160Z,False,0,4,17,https://talenthub.vectorinstitute.ai/jobs/176159085-data-science-senior-manager-at-accenture,,expired,2022-12-11T17:29:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Post-Graduate Diploma,New Posting, -c8702e51-74d3-4dc7-9d5d-b106c6642966,216106312,TD Bank Group,"Senior Analyst, Campaign Analytics & Insights",on_site,"Toronto, ON",2023-04-17T17:24:03.189Z,"
                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Analytics-CID&A-ON-M5C2V9/567820817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-20T17:27:02.981Z,False,0,2,5,https://talenthub.vectorinstitute.ai/jobs/197102969-senior-manager-data-analytics-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Analytics-CID&A-ON-M5C2V9/567820817/,expired,2023-02-16T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +be6ddd18-93dc-4cec-bc14-1fa7a48a3496,197093996,CIBC,"Senior Consultant, Data Science & Analytics",on_site,"Ontario, Canada",2023-02-16T17:06:04.549Z,"
                    +

                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                    +

                    +

                    At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                    +

                    +

                    To learn more about CIBC, please visit CIBC.com

                    +

                    +

                    Job Description

                    +

                    +

                    What you\'ll be doing:

                    +

                    Fraud Management & Fusion Centre manages operational risk for Retail and Business Banking by detecting, preventing and investigating fraud while effectively balancing client impact.

                    +

                    The Senior Consultant, Data & Analytics will be responsible for reviewing, investigating, analyzing, and corelating data to develop insights in support of High value cases with implications across Fraud, Cyber Security, and Corporate security. You will liaise with internal security partners & relationship management teams to confirm suspicious payments, patterns, and trends with clients. The role proactively investigates and recommends effective and efficient solutions and/or potential use cases that close gaps within existing Detection & Monitoring processes.

                    +

                    The role also identifies and assesses emerging loss trends and provides consultation/advice on operational risk exposure for new initiatives and product offerings.

                    +

                    At CIBC we enable the work environment most optimal for you to thrive in your role you’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote

                    +

                    +

                    How You’ll Succeed

                    +
                      +
                    • Leverage data (transactional, behavioral, system, etc.) to prepare analysis, develop insights, and implement models/rules to improve detection

                    • +
                    • Use fraud, cyber security, corporate security, and product knowledge to detect suspicious or fraudulent transactions and patterns with a high degree of accuracy and proactively identifying recovery opportunities in order to mitigate significant financial and reputational impacts to the bank.

                    • +
                    • Proactively identify trends, triggers, and opportunities for strategic solutions and use cases to improve detection & response to Cyber/Fraud/Corporate security events

                    • +
                    • Prepare summaries and reports for review by respective business leaders including notifications, status updates, and recommendations related to risk & loss prevention.

                    • +
                    • Perform in depth root cause analysis to identify any potential gaps within CIBC policy and procedures

                    • +
                    • Identify and assess patterns and high value cases, and make recommendations for production implementation to resolve systematic issues and limit false positives.

                    • +
                    • Manage relationships with multiple internal and external partners in order to effectively investigate incidents and identify opportunities

                    • +
                    • Investigation of complex problems, using good judgment and making sense of information, and communication of findings and detailed information in an impactful way.

                    • +
                    • Lead the fusion investigation process by working with internal clients and business partners

                    • +
                    • Maintain productive relationships and effectively collaborate with internal and external stakeholders to identify solutions and implement new processes

                    • +
                    • Champion CIBC vision and values, and provide support in a manner consistent with the highest quality standards and CIBC objective

                    • +
                    +

                    +

                    Who You Are

                    +
                      +
                    • You can demonstrate hands-on experience in developing and testing statistical and predictive models

                    • +
                    • You can also demonstrate hands-on experience with Python, AI/ML Frameworks, SAS, Cloud along with an advanced knowledge and experience with data exploration through business intelligence (BI)/User interfaces & SQL.

                    • +
                    • Data Governance: Effective application of data governance policies and guidelines.

                    • +
                    • Analytical Thinking & Problem solving: Strong ability to tackle a problem by using logical systemic, sequential approach in support of problem solving, decision making and priority setting.

                    • +
                    • File Management: Strong Ability to understand, monitor, update or enhance existing portfolio maintenance.

                    • +
                    • Risk Management: Deep Knowledge of process, tools and techniques for assessing and controlling operational and reputational risk.

                    • +
                    • Effective Communication: Strong Ability to effectively transmit, receive and accurately interpret ideas, information, and communicating effectively with diverse audiences, using appropriate techniques.

                    • +
                    • Leadership: Strong Ability to work with a group to set objectives, generate allegiance and guide and negotiate dialogues.

                    • +
                    • Relationship Management: Strong Ability to establish and build healthy working relations and partnerships with clients, peers and business partners

                    • +
                    +

                    +

                    What CIBC Offers

                    +

                    At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                    +
                      +
                    • Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home

                    • +
                    • Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity

                    • +
                    • Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning and comprehensive product training

                    • +
                    • Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan

                    • +
                    +

                    **Prior to starting in this role, security checks, including a criminal record check must be successfully completed to the satisfaction of CIBC. An annual criminal record check may also be required.

                    +

                    +

                    What you need to know

                    +
                      +
                    • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                    • +
                    • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                    • +
                    +

                    +

                    +

                    +

                    +

                    +

                    Job Location

                    Toronto-CC East 12th Floor

                    Employment Type

                    Regular

                    +

                    Weekly Hours

                    37.5

                    Skills

                    +

                    Analytical Thinking, Business Analysis, Business Intelligence (BI), Communication, Critical Thinking, Innovation, Python (Programming Language), Structured Query Language (SQL)
                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Consultant--Fusion-Insights_2239691?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-02-20T17:11:02.967Z,False,0,5,9,https://talenthub.vectorinstitute.ai/jobs/197093996-senior-consultant-data-science-analytics-at-cibc,,expired,2023-02-16T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +07852484-c73a-4713-a0e7-d135bebb5536,205615379,BMO Financial Group,Senior Manager: Predictive Analytics & Intelligence,on_site,"Ontario, Canada",2023-03-17T17:12:02.616Z,"
                    +

                    Address:

                    VIRTUAL59 - HomeRes - ON - BMO

                    +

                    +

                    Job Family Group:

                    Data Analytics & Reporting

                    +

                    +

                    +

                    +

                    Performs sophisticated data analytics (fraud) to explore and identify known or previously unidentified criminal behaviors among customer groups across BMO. Applies knowledge of advanced analytics algorithms and technologies to develop analytic solutions and support decision making. Develops and implements the strategies for technology as related to business requirements. Acts as a subject matter expert on BMO data and data modelling for criminal risk mitigation to guide management programs and investigation activities. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

                    +
                      +
                    • Manages people and leads a team capable of delivering the desired business results to mitigate organized crimes.
                    • +
                    • Applies scripting / programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                    • +
                    • Acts as a subject matter expert on relevant regulations and policies.
                    • +
                    • Network with fraud industry contacts to gain competitive insights and best practices on fraud intelligence
                    • +
                    • Ensures alignment between analytics, business and technical sides of strategies to improve performance and effectiveness within EFM.
                    • +
                    • Conducts independent analysis and assessment to resolve strategic issues.
                    • +
                    • Uses the appropriate algorithms to discover patterns.
                    • +
                    • Breaks down strategic problems, and analyses data and information to provide insights and recommendations.
                    • +
                    • Leads/participates in the design, implementation and management of core fraud business/group processes.
                    • +
                    • Identifies and understands new and emerging patterns of fraud, both external and internal.
                    • +
                    • Identifies and acquires appropriate data for fraud analysis based on knowledge of BMO product, data warehouse systems and architectural linkages.
                    • +
                    • Develops complex technical rules/ scenarios to maximize the effectiveness of fraud detection and prevention programs.
                    • +
                    • Applies statistical, data mining and pattern analysis techniques to determine relationships between transactions, customer data and known/predicted fraudulent behaviours.
                    • +
                    • Summarizes statistical findings, draws conclusions and presents actionable business recommendations.
                    • +
                    • Manages risk and minimizes losses through monitoring, controlling, audits and verifications in accordance with compliance requirements, policies, procedures and regulations.
                    • +
                    • Provides leadership and oversight on the identification, analysis and resolution of issues, recommending appropriate courses of action and creating solutions.
                    • +
                    • Supports development and execution of strategic initiatives in collaboration with stakeholders.
                    • +
                    • Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
                    • +
                    • Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
                    • +
                    • Implements changes in response to shifting trends.
                    • +
                    • Broader work or accountabilities may be assigned as needed.

                      Qualifications:

                      +
                    • +
                    • Typically 7+ years of relevant experience and a Masters degree in related field of study.
                    • +
                    • Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience.
                    • +
                    • Advanced knowledge of fraud and security management.
                    • +
                    • Advanced knowledge of Statistical Analyses and Human Behavior Modeling.
                    • +
                    • Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, , Perl) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
                    • +
                    • Seasoned professional with a combination of education, experience and industry knowledge.
                    • +
                    • Verbal & written communication skills - Indepth / Expert.
                    • +
                    • Analytical and problem solving skills - Indepth / Expert.
                    • +
                    • Influence skills - In-depth / Expert.
                    • +
                    • Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.
                    • +
                    • Able to manage ambiguity.
                    • +
                    • Data driven decision making - In-depth / Expert.
                    • +
                    +

                    +

                    +

                    We’re here to help

                    +

                    +

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    +

                    +

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    +

                    +

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    +

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    +

                    +

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Virtual-ON-CAN/Senior-Manager--Predictive-Analytics---Intelligence_R230002225?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-03-21T14:50:00.000Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/205615379-senior-manager-predictive-analytics-intelligence-at-bmo-financial-group,,expired,2023-03-17T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Masters Degree,New Posting, +8378f324-e924-47c6-9840-8c051fc4b010,204324029,Shopify Inc.,"Senior Staff Engineer, Bulk Data Management",on_site,"Ontario, Canada",2023-03-13T17:42:04.210Z,"

                    About the role

                    +

                    As a Senior Staff Engineer for our Bulk Import/Export and Snapshot/Restore mission, you’ll oversee the technical design of our new bulk import/export primitives and their extension to 1st and 3rd party solutions in a variety of use cases, while working with multiple teams and disciplines across Shopify. You will drive vision through to implementation, including technical design and hands-on development of high quality code. Additionally, you will contribute to creating and fostering a culture of collaboration and knowledge, as a mentor to other engineers.

                    +

                    Intrigued? Here’s more information about the problem space and the role.

                    +

                    Bulk Data Management

                    +

                    Increasingly, our merchants and partners are looking for highly-performant, and easy-to-use solutions for managing their bulk commerce data. Our largest merchants have stores with millions of products, customers, and orders. We’re investing in new primitives and solutions in this space in order to support our merchants and partners with their bulk data management needs at scale. Broadly speaking, Bulk Data Management in this context includes but is not limited to efficiently importing commerce data into a new or existing store (and reconciling any differences), exporting data to and/or syncing with 3rd-party systems, pre-populating test stores, empowering app developers with better import/export primitives, and enabling merchants to version and manage drafts of changes to their stores.

                    +

                    At Shopify, we hire Engineers with a passion for solving tough problems with performant code work on teams that ship on quality instead of on time. Our teams deploy new code many times a day, and our production scale is massive. We’re talking millions of online stores, and hundreds of millions of requests a day. Thousands of entrepreneurs will see your work within seconds – a difficult but incredibly rewarding responsibility. Shopify is the largest Ruby on Rails application in the world and we\'re a big part of the Rails community. We’re constantly improving our codebase to make it even better.

                    +

                    What you’ll do as a Senior Tech Lead Engineer at Shopify:

                    +
                      +
                    • Learn and grow constantly to feed your passion for self-improvement and make those around you better
                    • +
                    • Design and build highly available, resilient and scalable platform primitives & API
                    • +
                    • Work through problems with your team, roll up your sleeves, form an opinion and advocate for engineering-specific roadmap items
                    • +
                    • Collaborate with other Shopify leaders, executives and external partners to provide the best commerce experience for our merchants
                    • +
                    +

                    Qualifications

                    +
                      +
                    • A proven track record of strong technical mentorship and influencing the technical direction for sizeable technical organizations is a must
                    • +
                    • Experience building large scale, high throughput distributed systems and scaling web services, particularly those using and analyzing large amounts of data
                    • +
                    • High level of fluency with and experience using technologies like (but not limited to) Ruby on Rails & GraphQL - or deep experience with any object-oriented language and relevant transferable technologies
                    • +
                    • Experience with bulk data management using SQL and ORMs (eg: ActiveRecord)
                    • +
                    • Fluency with version control system design concepts and best practices
                    • +
                    • Experience with ETL concepts and technology, including techniques in efficient data transformation
                    • +
                    • Familiarity with Google Cloud Platform data storage technologies
                    • +
                    • A passion for efficiency and collaboration, with a history of establishing great relationships with UX and Product Management teams across time zones
                    • +
                    • A commitment and drive for quality, technical excellence and results
                    • +
                    • Curiosity and passion to constantly learn new things; Shopify changes fast, and we need the people who work here to be able to change and learn fast too
                    • +
                    • Proficiency in systems thinking and systems design concepts like transactions, atomicity, idempotency, etc.
                    • +
                    • Raise the quality and speed (team efficiency) bar and move the platform into a position of maximum leverage
                    • +
                    • Use the right tool for the job, fix problems are the right level of abstraction and optimize to meet both functional and non-functional goals
                    • +
                    +

                    We know that looking for a new role can be both exciting and time-consuming, and we truly appreciate your effort. And remember, we want to know what you’re really interested in building and why you want to build it at Shopify, so please give us as much detail on this as you’d like in the answers on the next page. 👍 📖

                    +
                    ",,https://www.shopify.com/ca/careers/senior-staff-engineer-bulk-data-management_f640bebc-6e85-49d1-8241-73017c8143af,feed-importer@jobboard.io,,,,2023-03-21T15:42:00.000Z,False,0,1,14,https://talenthub.vectorinstitute.ai/jobs/204324029-senior-staff-engineer-bulk-data-management-at-shopify-inc,,expired,2023-03-13T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, +eff2ba1b-854b-4253-8bef-e7f0fb3179ff,204323263,TD Bank Group,Data Scientist,on_site,"Toronto, ON",2023-03-13T17:24:02.648Z,"

                    Company Overview

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    @@ -113521,15 +120559,64 @@ c8702e51-74d3-4dc7-9d5d-b106c6642966,216106312,TD Bank Group,"Senior Analyst, Ca

                    Department Overview

                    -Department Overview
                    The Marketing Delivery team is a central source of internal and external consumer insights and data analytics which supports both corporate and business unit strategies for TD Bank Financial Group Canada and TD Bank, America’s Most Convenient Bank.
                    The Marketing Delivery team mission is to be influential change agents and consumer advocates to help deliver the better bank and to drive shareholder return through optimizing the impact of marketing. We do this by delivering hindsight (what happened), insight (why), and foresight (future actions) on how to best reach consumers, who to target, what to say, and build intelligence on the market and competitive landscape. The group seeks to deliver excellence in analytics and insights to support short-term business success as well as long-term strategy of the bank.
                    The Marketing Delivery team brings together a diverse range of technical and business expertise including market research, business analytics, data science and modelling, business intelligence, data strategy and governance, data management, campaign targeting and delivery, and visualization.
                    +

                    What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                    +

                    As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                    +

                    TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                    +

                    Job Description

                    -

                    The successful candidate will be responsible for Campaign Analytics within the broader Marketing Analytics group. If you are driven by understanding data and how we can help our LOB reach the best customers and continuing to challenge the “status quo” to make our campaigns and processes better, then this is the role for you.
                    Success in this role will be achieved by:
                    1. Translating key business objectives into insight rich experiments that drive marketing ROI
                    2. Ensuring execution (i.e., list creation) is done efficiently and with excellence
                    3. Designing campaign results can be actioned by providing high value campaign reporting
                    4. Work in a consultative role to provide “value-added” insights in the form of analysis, interpretation and advice of campaign reporting
                    5. Your success will be predicated on your ability to forge strong partnerships, communicate effectively, deliver on-time, and continuously strive for increased efficiency.
                    Responsibilities
                    · Design/execute/measure high impact direct to consumer marketing experiments
                    · Continuously improve campaign design and delivery by leveraging any and all analytical tools/techniques at your disposal
                    · Execute with excellence
                    · Manage your project pipeline to ensure agreed upon timelines can be met
                    · Proactively provide analytical guidance to key stakeholders, based on deep understanding of the businesses, to understand and enhance marketing ROI
                    · Maintain a culture of risk management and control, supported by effective processes and sound infrastructure

                    +
                    +

                    Delivery

                    +
                      +
                    • Broad technical skills in all facets of data science: advanced analytics, statistical modelling, machine learning & data engineering
                    • +
                    • Build complex statistical models that learn from and scale to petabytes of data.
                    • +
                    • Parse vast data, identify needs and analytics trends, employs industry leading techniques and theories to improve business practices across the enterprise
                    • +
                    • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core deliverables
                    • +
                    • Accountable to lead & deliver complex, Agile, cross-functional projects that range widely in design, size, scale, scope and techniques
                    • +
                    • Self-directed with the ability to progress strategic opportunities in down times and effectively prioritize in busy times
                    • +
                    +

                    Expertise & Leadership

                    +
                      +
                    • Analytical thought leadership and stay current on developments in data mining and the application of data science
                    • +
                    • Serve as an authority on a given business domain and provide business expertise to place context around analytics discovery
                    • +
                    • A champion in the D&A community for TD’s platforms and strategies, scanning for cutting edge solutions, and proactively identifying opportunities to advance tools, techniques and approaches
                    • +
                    • Communication and Stakeholder Management
                    • +
                    • Work closely with stakeholders to identify opportunities, implement solutions, and serve as an ambassador for data science across the enterprise
                    • +
                    • Advanced communication, business acumen and stakeholder management competencies
                    • +
                    • Collaborate with support functions such as risk, technology, model validation, OCDO etc. to increase the velocity of data science by enhancing policies, protocols & procedures within TD’s risk appetite
                    • +
                    • Exceptional collaborator in a high-interaction environment
                    • +
                    • Foresee needs from business partners to prescribe effective solutions
                    • +
                    • Leverage empirical evidence and facts to influence/support decision making
                    • +
                    • Collaborate with business partners to inform analytics output, support strategic planning, and prioritize key initiatives
                    • +
                    • Take ownership of team targets and strategies such as value generation and contribute to the overall management and culture of the team
                    • +
                    +

                    Requirements

                    -

                    Required Skillset
                    · Familiarity with direct marketing principles (Predictive Models, Experiment Design, A/B testing, Sample Size calculations, Net Performance Measurements, etc.)
                    · Good knowledge of everyday banking products and transactions; Mutual Funds, Investment Products, Savings, GICs and registered banking products
                    · Technical and detail oriented
                    · Knowledge of how campaigns are created by leveraging customer data from internal data warehouses through the use of programming tools such as Unica, SAS, SQL and/or Python/Pyspark
                    · A project management mindset to help deliver on time to specifications
                    · Team player while able to work independently
                    · Pragmatic decision maker blending a mix of intellect, experience and street smarts
                    · A profit driven mindset

                    -

                    Job Requirements
                    · 1-2+ years of relevant experience in a direct marketing, consulting, analytics, or agency-side role in financial services/telecom (or other high volume direct marketing industries)
                    · Significant experience with IBM Campaign (Unica)
                    · Knowledge of SQL, Python/PySpark; knowledge of databases and data structures; knowledge of vendors and file format requirements
                    · Experience designing and executing successful direct marketing experiments, including channel, A/B, Creative/Copy test etc…
                    · Familiarity with concepts such as “next best offer” and “always-on” an asset
                    · Degree in business, science, statistics, engineering, or other quantitative discipline
                    · Track record of delivering successful initiatives on time and on budget

                    +What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    +
                      +
                    • Ability to translate business requirements into technical and analytical tasks
                    • +
                    • Demonstrated track record of leading major data science projects [or demonstrate ability]
                    • +
                    • Technical understanding and critical thinking to challenge status quo
                    • +
                    • Strong problem-solving skills, mathematical and data literacy
                    • +
                    • Flexibility to adapt and run with contending priorities and the ability to shift focus as dynamic business needs evolve
                    • +
                    • Strong interpersonal and communication skills, both written and verbal ability to tell a compelling story which can be consumed by business partners/executives
                    • +
                    • Demonstrated experience in data transformation and data manipulation.
                    • +
                    • Aspirations to build in-depth industry and retail banking knowledge including current trends in data, analytics and technology
                    • +
                    • Master’s degree or PhD in relevant fields; Mathematics, Physics, Biotech, Computer Engineering, Electrical Engineering, Geomatics
                    • +
                    • Expert proficiency with industry data tools; python/Ruby, R, SQL and Scala, cloud architecture
                    • +
                    • Strong understanding of data manipulation and visualization techniques, with preference to Esri – ArcGIS, Alteryx, SQL and Excel
                    • +
                    • Experience with big data tools, such as SCALA, SPARK, HADOOP, HDFS, HIVE, etc.
                    • +
                    • Experience with machine learning including supervised and unsupervised models.
                    • +
                    +
                    +

                    +

                    Additional Information

                    +
                    +#datascientist #LI-Hybrid

                    +

                    Locations:
                    Toronto
                    Montreal
                    Markham
                    London
                    Ottawa

                    +

                    * L7- L10

                    Hours

                    @@ -113538,122 +120625,146 @@ c8702e51-74d3-4dc7-9d5d-b106c6642966,216106312,TD Bank Group,"Senior Analyst, Ca

                    Inclusiveness

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -
                    ",,https://jobs.td.com/en-CA/jobs/18012596/senior-analyst-campaign-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-24T17:29:01.757Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/216106312-senior-analyst-campaign-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18012596/senior-analyst-campaign-analytics-insights-toronto-ca/,expired,2023-04-17T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -88fd4206-0eaf-4510-98d5-c351db2dfeb6,218282646,Google,"Software Developer III, Google Cloud Application Modernization",on_site,"Toronto, ON, Canada",2023-04-24T17:20:02.805Z,"
                    -
                    -2023-04-17T09:30:26.380Z
                    -
                      -
                    • Share
                    • -
                      Save -
                    • -

                    Software Developer III, Google Cloud Application Modernization

                      -
                    • Google
                    • -
                    • In-office:
                      - Kitchener, ON, Canada -
                    • -
                    • + 1 more location
                    • -
                    -
                    -
                    -

                    Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kitchener, ON, Canada; Toronto, ON, Canada.

                    -
                    -

                    Qualifications

                    -

                    Minimum qualifications:

                    -
                      -
                    • Bachelor’s degree or equivalent practical experience.
                    • -
                    • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
                    • -
                    • 2 years of experience with data structures or algorithms.
                    • -
                    -

                    Preferred qualifications:

                    +
                    ",,https://jobs.td.com/en-CA/jobs/15700638/data-scientist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-23T17:29:03.304Z,False,0,22,99,https://talenthub.vectorinstitute.ai/jobs/204323263-data-scientist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15700638/data-scientist-toronto-ca/,expired,2023-03-13T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +4831080b-d4b8-4f23-a60c-e9e75360f8f5,205317337,BMO Financial Group,"Manager, Modelling & Analytics",on_site,"Ontario, Canada",2023-03-16T17:12:02.317Z,"
                    +

                    Address:

                    100 King Street West

                    +

                    +

                    Job Family Group:

                    Data Analytics & Reporting

                    +

                    +

                    +

                    +

                    Supports the research and development of quantitative risk modeling methodologies and related strategies in support of the management of risks arising from business/group portfolios and products. Applies knowledge of analytics algorithms and technologies to develop forward looking models and analytic solutions that ensure risks are properly identified, understood and risk related strategies are enabled. Summarizes statistical findings, draws business conclusions, and presents actionable business recommendations used in the management of risks and related activities e.g. associated internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations. Drives innovation through the development of data products that can be leveraged across the organization and establishes best practices as well influences data governance guidelines and policies. May specialize in one or more risk categories e.g. Credit Risk, Market Risk, Interest Rate Risk, etc.

                      -
                    • Master\'s degree or PhD in Computer Science or related technical fields.
                    • -
                    • Experience developing accessible technologies.
                    • +
                    • Acts as a trusted advisor to assigned business/group.
                    • +
                    • Influences and negotiates to achieve business objectives.
                    • +
                    • Recommends and implements solutions based on analysis of issues and implications for the business.
                    • +
                    • Assists in the development of strategic plans.
                    • +
                    • Identifies emerging issues and trends to inform decision-making.
                    • +
                    • Supports the execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • +
                    • Helps determine business priorities and best sequence for execution of business/group strategy.
                    • +
                    • Conducts independent analysis and assessment to resolve strategic issues.
                    • +
                    • Automates validation tests to improve quality and efficiency of the validation process.
                    • +
                    • Identifies emerging issues and trends to inform decision-making.
                    • +
                    • Builds effective relationships with internal/external stakeholders.
                    • +
                    • Ensures alignment between stakeholders.
                    • +
                    • Cleanses, manipulates, and transforms data through programming/scripting for model training and validation.
                    • +
                    • Conducts various pre-implementation and post-implementation analyses to estimate/measure business impact caused by model adoption (e.g., revenue increase, cost reduction, corporate brand image).
                    • +
                    • Provides input into the planning and implementation of operational programs.
                    • +
                    • Executes work to deliver timely, accurate, and efficient service.
                    • +
                    • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • +
                    • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                    • +
                    • Works with stakeholders to identify the business requirements, understand the distinct problems, and the expected outcome and models and frames business scenarios which impact critical business processes and/or decisions.
                    • +
                    • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
                    • +
                    • Applies scripting/programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                    • +
                    • Develops agreed analytical solution by applying suitable statistical techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, artificial intelligence) to test, verify, refine hypotheses.
                    • +
                    • Summarizes statistical findings and draws conclusions and presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                    • +
                    • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                    • +
                    • Performs experimental design approaches to validate finding or test hypotheses.
                    • +
                    • Uses the appropriate algorithms to discover patterns.
                    • +
                    • Builds effective relationships with internal/external stakeholders. Ensures alignment between stakeholders.
                    • +
                    • Supports development of tools and delivers training for data and analytics.
                    • +
                    • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • +
                    • Leads/participates in the design, implementation and management of core business/group processes.
                    • +
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                    • +
                    • Provides specialized consulting, analytical and technical support.
                    • +
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • +
                    • Works independently and regularly handles non-routine situations.
                    • +
                    • Broader work or accountabilities may be assigned as needed.

                      Qualifications:

                      +
                    • +
                    • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                    • +
                    • Data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS.
                    • +
                    • Relevant experience in risk, capital, and/or treasury management is preferred.
                    • +
                    • A professional designation in Finance or Risk management is preferred.
                    • +
                    • Post-secondary degree in Finance/Economics/Math required.
                    • +
                    • Professional designation in Finance or Risk management required.
                    • +
                    • Deep knowledge and technical proficiency gained through extensive education and business experience.
                    • +
                    • Verbal & written communication skills - In-depth.
                    • +
                    • Collaboration & team skills - In-depth.
                    • +
                    • Analytical and problem solving skills - In-depth.
                    • +
                    • Influence skills - In-depth.
                    • +
                    • Data driven decision making - In-depth.
                    -
                    -
                    -
                    -

                    About the job

                    -

                    Google\'s software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We\'re looking for software developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

                    -

                    With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

                    -

                    Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

                    -
                    -
                    -
                    -

                    Responsibilities

                      -
                    • Write product or system development code.
                    • -
                    • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
                    • -
                    • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
                    • -
                    • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
                    • -
                    • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
                    • -
                    -
                    -

                    Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                    Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and Know your rights: workplace discrimination is illegal. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                    To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                    To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                    At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                    We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                    Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                    -
                    -
                    -
                    ",,"https://careers.google.com/jobs/results/110731995262132934-software-developer-iii-google-cloud-application-modernization/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-04-24T21:49:00.000Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/218282646-software-developer-iii-google-cloud-application-modernization-at-google,,expired,2023-04-24T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,New Posting, -1ca3e6c5-cedc-4a0f-b484-675521376000,216107701,Sun Life Financial,Data Engineer,on_site,"Ontario, Canada",2023-04-17T17:41:03.165Z,"
                    +

                    +

                    +

                    We’re here to help

                    +

                    +

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    +

                    +

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    +

                    +

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    +

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    +

                    +

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Modelling---Analytics_R220026982?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-03-23T17:17:02.385Z,False,0,1,14,https://talenthub.vectorinstitute.ai/jobs/205317337-manager-modelling-analytics-at-bmo-financial-group,,expired,2023-03-16T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +10f2397b-6e14-44fd-b718-54d526532df9,205321263,Sun Life Financial,Senior Analytics Consultant,on_site,"Ontario, Canada",2023-03-16T17:41:03.297Z,"

                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                    Job Description:

                    +

                    Are you someone who is passionate about data, with superior analytical, data exploration, modeling, and visualization skills? If so, consider applying your skills and experience to a Senior Analytics Consultant position in the Canadian Operations Business Analytics team.

                    -
                    -

                    Role summary

                    -

                    At Retail Advice & Solutions (RA&S) within Sun Life Canada our vision is to help our clients achieve lifetime financial security and live healthier lives with tailored advice and solutions through their channel of choice.

                    +

                    Reporting to the Director, Analytics Solutions, the Senior Analytics Consultant will lead the development of innovative analytics solutions including transformation processes and complex data models that form the core of a new generation of analytics services and self-serve solutions for our customers in Canadian Operations.

                    -

                    Retail Advice & Solutions (RA&S) Advanced Analytics & the Business Intelligence team are seeking a talented data engineer to join our team, to support our ever-growing data & insights needs within our business unit. Reporting to Director, Advanced Analytics, the data engineer will be closely working with Senior data engineer within the team and will be a key member of our broader team responsible for maintaining and transforming our data foundation infrastructure.

                    +

                    Our growing mandate to deliver data analytics, artificial intelligence and data solutions requires an experienced data consultant to accelerate the development of our strategic analytics projects in support of our business stakeholders.

                    What will you do?

                      -
                    • Work with data analysts, data scientists, within RA&S Advanced Analytics and Business Intelligence teams to maintain efficient data foundation to support business intelligence/visualization, deep-dive analysis and predictive models

                    • -
                    • Assemble & organize datasets that help to optimize data delivery & enable us to create innovative data products/data driven experiences

                    • -
                    • Ensure the ongoing stability and efficiency of production systems by providing reliable production support services.

                    • -
                    • Actively participate in the migration of on-premises data architecture to a cloud-based data lake infrastructure

                    • -
                    • Collaborate with business stakeholders, key partners (CXO, DBTS teams etc.) to assist with data-related technical issues and support their business enquiries

                    • +
                    • Work directly with data engineers, business data analysts, data scientists and clients in Canadian Operations throughout the entire engagement life cycle including technical analysis, design, development, implementation, and consulting efforts

                    • +
                    • Maintain best practice standards for analysis and reporting at all levels including data governance, documentation, testing and visualization techniques

                    • +
                    • Lead and drive projects and assignments to completion, including project planning and estimates

                    • +
                    • Lead consultants in the team on various analytics projects

                    • +
                    • Facilitate group meetings of various sizes for solution design, decision making, problem-solving and solution implementation

                    • +
                    • Turn complex data into easy-to-understand visual insights that are aligned to business objectives

                    • +
                    • Enable visual storytelling through Tableau and visual analytics tools

                    • +
                    • Coach and grow new and interested community of developers and champions within the organization

                    -

                    What do you need to succeed?

                    +

                    What will you need to succeed?

                      -
                    • 2-3 years’ experience with ETL tools

                    • -
                    • 2-3 years’ experience with data tools/capabilities within AWS Cloud (e.g. Glue, S3, Sagemaker, Redshift etc.)

                    • -
                    • Proven understanding of relational data modeling and SQL database design

                    • -
                    • Proven ability to leverage knowledge of design, develop, and maintain data pipelines and ETL processes from a variety of operational data sources leveraging Python, SQL, SAS scripts.

                    • -
                    • Experience in data innovation practices, developing and implementing new technology tools and platforms

                    • -
                    • Excellent collaboration and self-management abilities, along with good communication skills and teamwork.

                    • +
                    • Minimum undergraduate degree in Mathematics, Computer Science, Engineering or equivalent

                    • +
                    • +

                      3-5 years of experience in:

                      +
                        +
                      • SQL and other languages used in data manipulation

                      • +
                      • Tableau or other BI development experience and designing dashboards / decision enablement tools

                      • +
                      • Data warehousing principles and experience in design and/or development using dimensional modeling principles

                      • +
                      • Developing rich portfolio of design uses cases demonstrating excellent user experience

                      • +
                      • Experience leading analytics projects with stakeholders

                      • +
                      +
                    -

                    -

                    Unique requirements

                      -
                    • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

                    • -
                    • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                    • +
                    • Good understanding of ELT/ETL processes and Microsoft SQL Server Analysis Services or equivalent technologies

                    • +
                    • Strong oral and written communication skills with experience in relating complex concepts to non-technical users, including presentation and storytelling with data

                    • +
                    • Visual design expertise with a solid understand of the best practices around dashboard and visual perception

                    • +
                    • End-to-End development experience and ability to create complex calculations including Level of Detail (LOD) expressions, action filters, user filters and implement advanced dashboard practices in Tableau

                    • +
                    • Solid understanding of how to consolidate and transform data to meaningful and actionable information

                    • +
                    • Ability to draw out meaningful business insights by synthesizing information from multiple sources

                    • +
                    • Demonstrated experience in development of analytics applications or data analysis, including insights development and communication to senior leadership

                    • +
                    • Bilingualism (French, English) required for Quebec only - interactions with English-speaking customers or partners

                    -

                    Education & Experience

                    -
                    • Undergraduate degree in Computer Science, Mathematics, Engineering or other quantitative field, or equivalent work experience

                    -

                    -

                    What will be nice to have?

                    +

                    What will be good to have?

                      -
                    • Past experience in life insurance / wealth management, or other financial services industry enterprises

                    • -
                    • Past experience in implementing data and analytics capabilities within an enterprise

                    • -
                    • Experience working in an agile pod (Scrum, Kanban, etc.)

                    • +
                    • Experience with AWS Data Lake

                    • +
                    • Experience with R, Python, AWS Sage Maker

                    • +
                    • Experience with Agile or design-driven development of analytics applications

                    • +
                    • PMP and/or Scrum Master certification

                    • +
                    • Experience with optimization and tuning of large data extracts for Tableau

                    • +
                    • Tableau desktop and server certification

                    • +
                    • Knowledge of Insurance or Financial Services industry

                    -

                    What\'s in it for you?

                    +

                    What’s in it for you?

                    • Competitive salary and bonus structure influenced by market range data

                    • -
                    • 15 days vacation per year and an innovative sabbatical program

                    • -
                    • Great Place to Work® Certified in Canada and the US - 2022

                    • -
                    • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                    • -
                    • Named “Best Places to Work” by Glassdoor - 2021

                    • -
                    • Canada Award for Excellence for Mental Health at Work - 2021

                    • -
                    • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid #LI-Remote

                    • -
                    • A friendly, collaborative and inclusive culture

                    • -
                    • Being part of our Analytics community, where we share best practices and broaden skill-sets

                    • +
                    • A friendly, collaborative, and inclusive culture

                    • +
                    • Being part of our analytics community, where we share best practices and broaden skill sets

                    • Flexible Benefits from the day you join to meet the needs of you and your family

                    • -
                    • Pension, stock and savings programs to help build and enhance your future financial security

                    • -
                    • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                    • +
                    • Pension, stock, and savings programs to help build and enhance your future financial security

                    -

                    The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                    @@ -113665,139 +120776,181 @@ c8702e51-74d3-4dc7-9d5d-b106c6642966,216106312,TD Bank Group,"Senior Analyst, Ca

                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                    -

                    Salary Range:

                    53,300/53 300 - 86,300/86 300

                    +

                    Salary Range:

                    74,100/74 100 - 120,800/120 800

                    Job Category:

                    Advanced Analytics

                    -

                    Posting End Date:

                    23/04/2023
                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Data-Engineer_JR00077802?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-04-24T17:46:03.596Z,False,0,7,24,https://talenthub.vectorinstitute.ai/jobs/216107701-data-engineer-at-sun-life-financial,,expired,2023-04-17T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -84947cf4-452d-423f-9bd3-34573f4b3d9c,217075573,NVIDIA,Senior AI Solutions Architect,on_site,"Ontario, Canada",2023-04-20T17:42:02.337Z,"
                    -

                    NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Data Science focused Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL) and Data Science platforms. Exposure to inferencing technology (e.g., understanding of model compression techniques, model compilation or model serving) would be an added value. In our Solutions Architecture team, we work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence. We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone always thinking about artificial intelligence, someone who can maintain synergy in a fast paced, rapidly evolving field, someone able to coordinate efforts between corporate marketing, industry business development and engineering.

                    +

                    Posting End Date:

                    22/03/2023
                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Analytics-Consultant_JR00077197?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-03-23T17:46:03.674Z,False,0,1,18,https://talenthub.vectorinstitute.ai/jobs/205321263-senior-analytics-consultant-at-sun-life-financial,,expired,2023-03-16T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +6d7fc530-8d6d-4236-a57e-7407d4945417,206569073,TD Bank Group,Senior Business Analyst Workday/Peoplesoft ( Data Integration),on_site,"Toronto, ON",2023-03-20T17:24:04.998Z,"
                    +

                    Company Overview

                    +
                    +

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    +

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    +

                    -

                    You will be working with the latest HPC architectures coupled with the most advanced neural network models, changing the way people interact with technology. As a Solutions Architect, you will be the first line of technical expertise between NVIDIA and our customers. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key executives and managers to evangelize accelerated computing. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns.

                    +

                    Department Overview

                    +
                    +

                    Business Information Management (BIM) at TD is part of a creative, enterprise-wide data and analytics ecosystem. Roles in BIM are highly professional and valued, specialized yet inter-connected and focused on making the availability of business information to designers, developers and decision-makers a priority, all with a united purpose to serve customers and continually build a better bank.

                    +

                    We’re looking for analytical and agile professionals who can merge and translate data into technology and business information, serving today’s business needs and setting in motion TD’s longer-term goals and strategic objectives. If you get data, its power and potential, we think you’ll love working at TD, where data knows no bounds and where your professional expertise will help to drive the business forward and take your own career to new heights.

                    +

                    -

                    What You’ll Be Doing:

                    +

                    Job Description

                    +
                    +

                    Are you an expert level business information analyst, equipped with both conceptual and practical expertise in business information management? If so, this role offers a hands-on and high-career growth opportunity to provide business technical leadership across a broad range of information management functions to support various areas of data and analytics.
                    Enjoy partnering with colleagues and directing data traffic? In this advanced professional role, you’ll work both independently and within teams as a senior data analyst. Colleagues and business partners will look to you to manage and direct activities related to impact analysis, design and support of business data management solutions, including larger projects.
                    As a Senior Business Information Management Analyst, you will:

                      -
                    • Develop and demonstrate solutions based on NVIDIA’s state-of-the-art AI and ML software and hardware technologies to customers.

                    • -
                    • Work directly with key customers to understand their technology and provide the best solutions.

                    • -
                    • Perform in-depth analysis and optimization to ensure the best performance on GPU architecture systems. This includes support in optimization of both training and inference pipelines.

                    • -
                    • Partner with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations.

                    • -
                    • Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures.

                    • +
                    • Be the expert-level team analyst, considered an authority with in-depth knowledge and experience in data analysis and data migration as well as working knowledge of broader related areas in HR or Financial systems
                    • +
                    • Participate in Workday implementation activities including discovery, design, configuration, documentation, testing, and project review sessions related to data conversion activities
                    • +
                    • Facilitate data discovery workshops, downstream impact analyses and proactively manage stakeholder expectations
                    • +
                    • Lead projects of moderate to complex risk and data requirements; may lead end-to-end data conversion activities
                    • +
                    • Analyze and understand business and data requirements to develop complete business solutions (e.g. analysis of data models, entity relationship diagrams, data lifecycle management, governance, lineage, metadata and reporting elements)
                    • +
                    • Develop business requirements; design and implement complex business data information management frameworks
                    • +
                    • Apply automation and innovation on data platforms and on new development projects / initiatives
                    • +
                    • Conduct a range of data analyses, demonstrating your in-depth experience with very large datasets and big data technologies; assessing business information-related data requirements aligned to business needs and for specific data platforms, applications systems and servers
                    • +
                    • Partner and collaborate with business and technology partners to resolve data / application issues and ensure requirements delivery
                    • +
                    • Participate fully as a member of the project delivery team, support a positive work environment that promotes service to the business, quality and innovation and, ensure timely communication of issues/points of interest +
                    +

                    -

                    What We Need to See:

                    +

                    Requirements

                    +
                    +

                    What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                      -
                    • Excellent verbal, written communication, and technical presentation skills in English.

                    • -
                    • MS/PhD in Computer Science, Data Science, Electrical/Computer, or equivalent experience Engineering, Physics, Mathematics, other Engineering fields

                    • -
                    • 5+ years of academic and/or industry experience in fields related to machine learning, deep learning and/or data science.

                    • -
                    • You are excited to work with multiple levels and teams across organizations (Engineering, Product, Sales and Marketing team)

                    • -
                    • You are a self-starter with attitude for growth, passion for continuous learning and sharing findings across the team.

                    • +
                    • Undergraduate degree or technical certificate
                    • +
                    • Five (5) or more years relevant experience implementing enterprise solutions with at least one full life cycle using Workday
                    • +
                    • Sound conceptual knowledge in your area of specialty
                    • +
                    • Fluent in one or two programming languages
                    • +
                    • Advanced analytical and problem-solving skills
                    • +
                    • Proficient knowledge of various data sources, tools and technologies used in preparing summaries/reports
                    • +
                    • In-depth knowledge of competitor and market trends
                    • +
                    • Proficient to analyze, organize and prioritize work while meeting multiple deadlines
                    • +
                    • Expertise in using analytical software tools, MS Office, data analysis methods and reporting techniques
                    • +
                    • Strong ability to work collaboratively and independently, communicate effectively (both speaking and writing), follow instructions/direction, and help building relationships across teams and functions
                    • +
                    • Act as a brand champion for our business area / function and TD, both internally and externally
                    +

                    -

                    Ways to Stand Out from The Crowd:

                    -
                      -
                    • Experience running large scale distributed DL training.

                    • -
                    • Background with working with larger transformer-based architectures.

                    • -
                    • Experience using DevOps technologies such as Docker, Kubernetes, Singularity, etc.

                    • -
                    • Understanding of HPC systems: data centre design, high speed interconnect InfiniBand, cluster storage and scheduling related design and/or management experience.

                    • -
                    -

                    -

                    -

                    -

                    -
                    ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/France-Courbevoie/Senior-AI-Solutions-Architect_JR1965794,feed-importer@jobboard.io,,,,2023-04-24T17:47:02.991Z,False,0,9,32,https://talenthub.vectorinstitute.ai/jobs/217075573-senior-ai-solutions-architect-at-nvidia,,expired,2023-04-20T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Product Development),Mid-Senior Level,Masters Degree,New Posting, -a46108f8-e1f1-4da1-8a6d-4145cda6a3db,209219022,Scotiabank,"Manager, Transaction Monitoring, AML/ATF Models and Analytics",on_site,Canada : Ontario : Toronto,2023-03-27T17:22:03.617Z,"

                    -

                    -

                    -

                    -

                    Requisition ID: 176111

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    -

                    Purpose

                    -

                    Contributes to the overall success of the FCRM's Models & Analytics team by ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures

                    -

                    -

                    Key Accountabilities

                    -

                    • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

                    -

                    • Develop and enhance statistical models in support of Scotiabank’s AML/ATF activity. Includes working on data acquisition, modeling, implementation and tuning strategies. Anticipated deliverables include models for Transaction Monitoring, transaction alert generation and alert prioritization. Will involve analyzing various alert metrics (eg, productive vs non-productive alerts, alerts per transaction) and optimizing solution configurations and parameters.

                    -

                    • Design, develop and evaluate statistical models in cases where models cannot be developed from existing data. Test and analyze thresholds, ranges and solution configurations to improve the effectiveness of monitoring and screening solutions.

                    -

                    • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

                    -

                    • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

                    -

                    • Champions a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team.

                    -

                    Skills, Experiences, and Functional Competencies

                    -

                    • Experience with statistical modeling and data science methods
                    • Experience programming in statistical languages such as R, SAS. Experience with databases such as Oracle or SQL Server
                    • AML/ATF experience or analytic knowledge

                    -

                    -

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Transaction-Monitoring%2C-AMLATF-Models-and-Analytics-ON-M5C2W1/568954017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-26T19:13:04.754Z,False,0,2,25,https://talenthub.vectorinstitute.ai/jobs/209219022-manager-transaction-monitoring-aml-atf-models-and-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Transaction-Monitoring%2C-AMLATF-Models-and-Analytics-ON-M5C2W1/568954017/,expired,2023-03-27T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,No Degree,New Posting, -1e7a72d0-d45c-45d0-ac8c-c0a0dbe0c864,209225158,Layer 6,Sr. Machine Learning Product Engineer – Tech Lead,on_site,"Toronto, ON, Canada",2023-03-27T19:44:17.622Z,"

                    -

                    Sr. Machine Learning Product Engineer – Tech Lead

                    -

                    The Machine Learning Product Engineer team at Layer 6 focuses on building industry-leading data-centric systems and model delivery systems. Our solutions include data pipelines, feature data lake, systemic data validation and automation of key activities in model delivery including model validation, shakedown, inference, and maintenance.

                    -

                    We are looking for experienced Senior Machine Learning Product Engineers (Sr. MLPE) who have worked under tight deadlines and on challenging tasks. The ideal candidate is a master of coding and system design. They also are experts in data engineering and/or machine learning.

                    -

                    The candidate will be the go-to person for data and model delivery. They will lead and coordinate efforts of members on the MLPE team to ensure best engineering practice in our systems. The candidate will interact with machine learning scientists, the infrastructure team and data sources team to develop systems that will satisfy the needs of machine learning projects.

                    -

                    What are your main responsibilities?

                    +

                    Additional Information

                    +
                      +
                    • Experience working with Workday or Peoplesoft
                    • +
                    • Data Migration and Data Integration
                    • +
                    +

                    +

                    Hours

                    +
                    37.5
                    +

                    +

                    Inclusiveness

                    +

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    +

                    +
                    ",,https://jobs.td.com/en-CA/jobs/15245253/senior-business-analyst-workday-peoplesoft-data-integration-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-23T17:29:03.304Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/206569073-senior-business-analyst-workday-peoplesoft-data-integration-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15245253/senior-business-analyst-workday-peoplesoft-data-integration-toronto-ca/,expired,2023-03-20T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +f160adb6-0c0b-4bae-ae00-0ce6bba462b8,198034024,TD Bank Group,Senior Machine Learning Engineer (Layer 6),on_site,"Toronto, ON",2023-02-20T17:24:04.312Z,"
                    +

                    Company Overview

                    +
                    +

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    +

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    +
                    +

                    +

                    Department Overview

                    +
                    +

                    Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform.

                    +

                    Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 – Visual Relationship (winner in 2019).

                    +
                    +

                    +

                    Job Description

                    +
                    +

                    The Machine Learning Product Engineer team at Layer 6 focuses on building industry-leading data-centric systems and model delivery systems. Our solutions include data pipelines, feature data lake, systemic data validation and automation of key activities in model delivery including model validation, shakedown, inference, and maintenance.

                    +

                    We are looking for experienced Senior Machine Learning Product Engineers (Engineering Lead) who have worked under tight deadlines and guided teams towards successful deliveries. The ideal candidate is a master of coding and system design with track record of technical leadership. They also are experts in data engineering and/or machine learning.

                    +

                    The candidate will be the go-to person for data and model delivery. They will lead and coordinate efforts of members on the MLPE team to ensure best engineering practice in our systems. The candidate will interact with machine learning scientists, the infrastructure team and data sources team to develop systems that will satisfy the needs of machine learning projects.

                    +

                    What are your main responsibilities?

                      -
                    • Lead the design and implementation of complex data-centric solutions, including extremely complex and large data set verification, transformation and feature generation, to ensure continuous high-quality input for the model development
                    • -
                    • Lead the design and implementation of model delivery systems, including inference pipeline, automatic model validation reports generation, automatic model performance monitoring and model retraining, to ensure fast model productionization and reliable production system
                    • -
                    • Go-to person for data and model delivery within Layer 6
                    • -
                    • Lead and mentor Machine Learning Product Engineers to ensure best engineering practice in our systems.
                    • +
                    • Lead the design and implementation of complex data-centric solutions, including extremely complex and large data set verification, transformation and feature generation, to ensure continuous high-quality input for the model development

                    • +
                    • Lead the design and implementation of model delivery systems, including inference pipeline, automatic model validation reports generation, automatic model performance monitoring and model retraining, to ensure fast model productionization and reliable production system

                    -

                    -

                    Required Technical Skills

                      -
                    • BSc+ in Computer Science, Math, Physics, or similar
                    • -
                    • 5+ years of extensive programming experience, at least 3 years in building production data systems
                    • -
                    • 3+ years experience of building machine learning production system
                    • -
                    • Expert level skills in system design
                    • -
                    • Expert in Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Spark, Cassandra, Kafka, Elasticsearch
                    • -
                    • Strong knowledge of Machine Learning and Deep Learning
                    • -
                    • Practical expertise in performance tuning, bottleneck problems analysis, and troubleshooting
                    • -
                    • Experience with Big Data solutions developed in large cloud computing infrastructures such as Azure and AWS
                    • -
                    • Strong experience with Scala and Java 8
                    • +
                    • Go-to person for data and model delivery within Layer 6

                    • +
                    • Lead and mentor Machine Learning Product Engineers to ensure best engineering practice in our systems.

                    +

                    -

                    Nice to have Skills

                    -
                    • C++, Python experience
                    +

                    Requirements

                    +
                    +

                    Required Technical Skills

                    +
                      +
                    • BSc+ in Computer Science, Math, Physics, or similar

                    • +
                    • 5+ years of extensive programming experience, at least 3 years in building production data systems

                    • +
                    +
                      +
                    • 3+ years experience of building machine learning production system

                    • +
                    • Expert level skills in system design

                    • +
                    • Expert in Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Spark, Cassandra, Kafka, Elasticsearch

                    • +
                    • Strong knowledge of Machine Learning and Deep Learning

                    • +
                    • Practical expertise in performance tuning, bottleneck problems analysis, and troubleshooting

                    • +
                    +
                      +
                    • Experience with Big Data solutions developed in large cloud computing infrastructures such as Azure and AWS

                    • +
                    • Strong experience with Scala and Java 8

                    • +
                    +

                    Nice to have Skills

                    +
                    • C++, Python experience

                    +

                    -

                    Benefits

                    +

                    Additional Information

                    +
                    +

                    Benefits

                      -
                    • Entrepreneurial and inclusive culture
                    • -
                    • Excellent health coverage and pension plan
                    • -
                    • Four weeks paid vacation
                    • -
                    • Catered lunches twice a week over machine learning talks
                    • -
                    ",,https://layer6.ai/careers/#Sr-Machine-Learning-Product-Engineer-8211-Tech-Lead-614,aitalent@vectorinsitute.ai,https://layer6.ai/careers/,,,2023-04-26T19:44:20.705Z,False,0,2,15,https://talenthub.vectorinstitute.ai/jobs/209225158-sr-machine-learning-product-engineer-tech-lead-at-layer-6,,expired,2023-03-27T19:44:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -165e12f7-09ec-46fd-a568-9796c663e957,208690161,BMO Financial Group,"Manager, Credit Risk Modelling & Analytics",on_site,"Ontario, Canada",2023-03-25T17:12:02.101Z,"
                    -

                    Address:

                    100 King Street West

                    +
                  • Entrepreneurial and inclusive culture

                  • +
                  • Excellent health coverage and pension plan

                  • +
                  • Four weeks paid vacation

                  • +
                  • +

                    Catered lunches twice a week over machine learning talks

                    +

                    #LI-Hybrid

                    +
                  • + +
                    +

                    +

                    Hours

                    +
                    37.5
                    +

                    +

                    Inclusiveness

                    +
                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.
                    +

                    +
                    ",,https://jobs.td.com/en-CA/jobs/17650200/senior-machine-learning-engineer-layer-6-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-26T16:24:21.290Z,False,0,3,23,https://talenthub.vectorinstitute.ai/jobs/198034024-senior-machine-learning-engineer-layer-6-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17650200/senior-machine-learning-engineer-layer-6-toronto-ca/,expired,2023-02-20T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +127fced5-e444-44fc-97cd-a700ff63b7f3,216105800,BMO Financial Group,"Manager, Product and Campaign Analytics",on_site,"Ontario, Canada",2023-04-17T17:12:01.814Z,"
                    +

                    Application Deadline:

                    05/29/2023

                    +

                    +

                    Address:

                    33 Dundas Street West

                    Job Family Group:

                    Data Analytics & Reporting

                    -

                    Supports the research and development of quantitative risk modeling methodologies and related strategies in support of the management of risks arising from business/group portfolios and products. Applies knowledge of analytics algorithms and technologies to develop forward looking models and analytic solutions that ensure risks are properly identified, understood and risk related strategies are enabled. Summarizes statistical findings, draws business conclusions, and presents actionable business recommendations used in the management of risks and related activities e.g. associated internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations. Drives innovation through the development of data products that can be leveraged across the organization and establishes best practices as well influences data governance guidelines and policies. May specialize in one or more risk categories e.g. Credit Risk, Market Risk, Interest Rate Risk, etc.

                    +

                    Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                    • Acts as a trusted advisor to assigned business/group.
                    • -
                    • Influences and negotiates to achieve business objectives.
                    • -
                    • Recommends and implements solutions based on analysis of issues and implications for the business.
                    • -
                    • Assists in the development of strategic plans.
                    • +
                    • Leads the design, development, and implementation of analytic solutions.
                    • Identifies emerging issues and trends to inform decision-making.
                    • -
                    • Supports the execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • -
                    • Helps determine business priorities and best sequence for execution of business/group strategy.
                    • -
                    • Conducts independent analysis and assessment to resolve strategic issues.
                    • +
                    • Recommends and implements solutions based on analysis of issues and implications for the business
                    • +
                    • Ensures alignment between stakeholders about business needs and data needs.
                    • +
                    • Ensures alignment between stakeholders about business needs and data needs.
                    • +
                    • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                    • +
                    • Designs, develops, and implements innovative analytical solutions.
                    • +
                    • Designs and produces regular and ad-hoc reports, and dashboards.
                    • +
                    • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                    • +
                    • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                    • +
                    • Cleanses, manipulates, and transforms data through programming / scripting for model training and validation.
                    • Automates validation tests to improve quality and efficiency of the validation process.
                    • -
                    • Identifies emerging issues and trends to inform decision-making.
                    • +
                    • Validates and tests models used in analytics and reporting to assess/address performance and compliance.
                    • +
                    • Promotes reporting automation, self-serve analytics consumption, and the culture of analytics-driven decision making.
                    • +
                    • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                    • +
                    • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                    • +
                    • Designs, develops, and implements innovative analytical solutions.
                    • +
                    • Designs and produces regular and ad-hoc reports, and dashboards.
                    • +
                    • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                    • +
                    • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • +
                    • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                    • +
                    • Analyzes data and information to provide subject-matter insights and recommendations.
                    • +
                    • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                    • +
                    • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                    • Builds effective relationships with internal/external stakeholders.
                    • -
                    • Ensures alignment between stakeholders.
                    • -
                    • Cleanses, manipulates, and transforms data through programming/scripting for model training and validation.
                    • -
                    • Conducts various pre-implementation and post-implementation analyses to estimate/measure business impact caused by model adoption (e.g., revenue increase, cost reduction, corporate brand image).
                    • -
                    • Provides input into the planning and implementation of operational programs.
                    • -
                    • Executes work to deliver timely, accurate, and efficient service.
                    • -
                    • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • -
                    • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                    • -
                    • Works with stakeholders to identify the business requirements, understand the distinct problems, and the expected outcome and models and frames business scenarios which impact critical business processes and/or decisions.
                    • -
                    • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
                    • -
                    • Applies scripting/programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                    • -
                    • Develops agreed analytical solution by applying suitable statistical techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, artificial intelligence) to test, verify, refine hypotheses.
                    • -
                    • Summarizes statistical findings and draws conclusions and presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                    • -
                    • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                    • -
                    • Performs experimental design approaches to validate finding or test hypotheses.
                    • -
                    • Uses the appropriate algorithms to discover patterns.
                    • -
                    • Builds effective relationships with internal/external stakeholders. Ensures alignment between stakeholders.
                    • -
                    • Supports development of tools and delivers training for data and analytics.
                    • -
                    • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • -
                    • Leads/participates in the design, implementation and management of core business/group processes.
                    • +
                    • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                    • Provides specialized consulting, analytical and technical support.
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • @@ -113805,11 +120958,8 @@ a46108f8-e1f1-4da1-8a6d-4145cda6a3db,209219022,Scotiabank,"Manager, Transaction
                    • Broader work or accountabilities may be assigned as needed.

                      Qualifications:

                    • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                    • -
                    • Data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS.
                    • -
                    • Relevant experience in risk, capital, and/or treasury management is preferred.
                    • -
                    • A professional designation in Finance or Risk management is preferred.
                    • -
                    • Post-secondary degree in Finance/Economics/Math required.
                    • -
                    • Professional designation in Finance or Risk management required.
                    • +
                    • RESL analytics experience would be a definite asset
                    • +
                    • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to SQL, SAS, R, Python, PowerBI.
                    • Deep knowledge and technical proficiency gained through extensive education and business experience.
                    • Verbal & written communication skills - In-depth.
                    • Collaboration & team skills - In-depth.
                    • @@ -113819,277 +120969,236 @@ a46108f8-e1f1-4da1-8a6d-4145cda6a3db,209219022,Scotiabank,"Manager, Transaction

                    -

                    We’re here to help

                    -

                    -

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    -

                    -

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    -

                    -

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    -

                    -

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    -

                    -

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    -
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Modelling---Analytics_R220031603?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-04-26T18:01:50.858Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/208690161-manager-credit-risk-modelling-analytics-at-bmo-financial-group,,expired,2023-03-25T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -9b97b95a-c0d0-4275-9a0b-34ad76f2a363,219397730,Clearpath,Software Developer (Data Analytics),on_site,"Ontario, Canada",2023-04-27T17:42:04.694Z,"

                    Description

                    -

                    Position: Software Developer (Data Analytics)
                    Location: Kitchener, ON/Remote - North America
                    Job Type: Full-Time Permanent
                    Experience: 2-5 Years of relevant Software Development related experience
                    Education: Post-Secondary degree or diploma in Computer Systems Technology or related field
                    Division: OTTO Motors

                    -

                    About OTTO™ Motors (Division of Clearpath Robotics)

                    -

                    OTTO™ Motors is a growing, disruptive company, making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self-driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit www.ottomotors.com.

                    -

                    About the Job

                    -

                    We are looking for a Software Developer to work on the Data Analytics team as part of the Fleet Software Group.

                    -

                    The Fleet Software Group is responsible for the design, development and support of the Fleet Manager and software applications that allow our users to interact with, monitor and support their fleets of OTTO Autonomous Vehicles. This involves participation in the entire product workflow, from customer-insight gathering, problem definition, solution proposals, application design, development, and support.

                    -

                    Reliable robot hardware needs reliable software, including Data Analytics. We are looking for a Software Developer who can bring their experience and enthusiasm to help us define, implement and deliver innovative solutions for our customers.

                    -

                    Primary Responsibilities

                    -
                      -
                    • Design and implement custom analytics software for collecting, transforming and utilizing data from our Robots and our Fleet Manager.
                    • -
                    • Prototype new analysis applications and tooling.
                    • -
                    • Design, develop and improve our data visualization tools.
                    • -
                    • Create documentation of system-level architectures and contribute to knowledge bases.
                    • -
                    • Participate in team code reviews and design reviews.
                    • -
                    • Troubleshoot our Data Analytics tooling to support Client Success, Field Services, and internal Test teams.
                    • -
                    • Own projects from concept to production including proposal, discussion, execution, testing, and support.
                    • -
                    • Work with technical and non-technical users to understand their data needs and how to address them.
                    • -
                    • Work on secure, scalable web applications for viewing analytics data.
                    • -
                    -

                    -

                    About You

                    -

                    You want to work for a fast-paced company that thinks big and dreams huge. You are driven, view work as more than just a job and are never satisfied with less than 100% effort. You want to be surrounded by people like you; creative, fun-loving, and passionate about their work. You have experience producing and shipping reliable software, and understand the value of good test cases. You are motivated by making an impact on your workplace and you thrive on challenging and rewarding problems. You\'re looking for a job where you get to interact with a diverse team and learn something new every day. You’ve got a real knack for coming up with solutions that make (and keep) people happy.

                    -

                    -

                    Required Experience/Skills

                    -
                      -
                    • Minimum 2-5 years Software Development experience in an enterprise environment.
                    • -
                    • Post-secondary diploma in Software Development or related field.
                    • -
                    • Object Oriented Programming experience (Python, C++).
                    • -
                    • Experience developing software with a data persistence layer (SQL).
                    • -
                    • Experience with database object relational mapping libraries (Django, sqlalchemy etc.).
                    • -
                    • Ability to communicate effectively and efficiently with both technical and non-technical stakeholders as well as other developers.
                    • -
                    • Ability to clearly and concisely communicate complex technical and architectural problems and propose iterative solutions.
                    • -
                    • Working with Linux/Ubuntu based environments and scripting (Bash).
                    • -
                    • SCM experience (git, Gitlab, Github, Bitbucket, SVN, etc.).
                    • -
                    -

                    -

                    Bonus Skills

                    -
                      -
                    • Experience working with container frameworks (Kubernetes, Docker, Helm etc.).
                    • -
                    • Experience with data visualization tools such as Grafana.
                    • -
                    • Experience working with time series databases such as Prometheus.
                    • -
                    • Familiarity with Elastic and the Elastic stack.
                    • -
                    • Postgres or other database administration and/or integration experience.
                    • -
                    • Experience designing applications for scale.
                    • -
                    • Experience developing, configuring or deploying web based applications.
                    • -
                    • Experience with Nix package management.
                    • -
                    • Experience developing ROS applications.
                    • -
                    -

                    Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                    ",,http://jobs.jobvite.com/clearpath/job/okH2mfw9,feed-importer@jobboard.io,,,,2023-05-15T22:40:00.000Z,False,0,9,55,https://talenthub.vectorinstitute.ai/jobs/219397730-software-developer-data-analytics-at-clearpath,,expired,2023-04-27T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Manufacturing ,Mid-Senior Level,Bachelors Degree,New Posting, -a12bc77b-0f19-43ab-9995-861be20d908c,221075121,RBC,"Senior Manager, Data & Analytics, ESG Centre of Excellence, Internal Audit",on_site,"Toronto, ON, Canada",2023-05-01T17:16:02.171Z,"
                    -

                    Come Work with Us!

                    At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                    Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                    -

                    Job Title

                    Senior Manager, Data & Analytics, ESG Centre of Excellence, Internal Audit

                    -

                    -

                    Job Description

                    -

                    What is the Opportunity?

                    -

                    As part of the Environmental, Social, Governance Centre of Excellence (ESG COE) in RBC’s Internal Audit team, you will play a role in assessing how environmental and social (E&S) risks are being managed, and the effectiveness of related controls. You will assess the design and operating effectiveness of key climate and E&S risk-related controls and initiatives through testing and evaluating research, data analytics and insights. A significant focus of this role will be testing data and controls related to the calculation of RBC’s financed emissions across different asset classes within carbon-intensive sectors, and tracking progress on net-zero emissions reduction targets.

                    -

                    -

                    The RBC CAE Group leverages a unique perspective— with a coordinated view across the entire business—to deliver valuable advice that not only gives assurance, but that illuminates a bigger picture, connects dots, builds best practices and broadens possibilities. We connect intelligence to protect and enable RBC.

                    -

                    -

                    What will you do?

                    +

                    We’re here to help

                    +

                    +

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    +

                    +

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    +

                    +

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    +

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    +

                    +

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Product-and-Campaign-Analytics_R230006510?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-04-20T17:17:03.171Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/216105800-manager-product-and-campaign-analytics-at-bmo-financial-group,,expired,2023-04-17T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +c8745c9f-5a20-4ab8-97bd-a94554fd5c33,203442827,EllisDon,Data Engineer,on_site,"Mississauga, ON L4Y1M4, CAN Mississauga, ON L4Y1M4, CAN",2023-03-10T17:39:03.108Z,"

                    Job Details

                    Description

                    +

                    Connect with us LinkedIn, Instagram, Facebook, Twitter

                    +

                    EllisDon is committed to being the safest general contractor. As part of our vaccine directive, we require employees to be fully vaccinated, or in the process of receiving the vaccine against COVID-19. Should you have any additional questions related to our vaccine directive as you move forward in the hiring process, please discuss this with our People & Culture team.

                    +

                    Thinking about a change?

                    +

                    We recognize that the construction industry is changing at a rapid pace and we continually strive to be at the forefront. Our core values empower people to deliver great careers and develop creative solutions for complex problems on some of the most intricate projects. It doesn’t matter what your expertise and craft is – there are no boundaries. We are a group of leading professionals with a variety of expertise: engineers, investment bankers, superintendents, estimators, software engineers, accountants, lawyers, marketing and communications consultants, sustainability professionals, and project managers. As you can see, we are a diverse bunch.

                    +

                    In case you’re curious, here’s what the industry thinks of us and some cool things we have done.

                    +

                    +

                    You as a Data Engineer (Insight and Analytics) will:

                      -
                    • Source, assess, validate, and visualize data used for climate and social risk measurement, and work with the Director, ESG COE, and use this data to inform actionable steps in advising internal stakeholders on management and monitoring of E&S risk.
                    • -
                    • With a risk and controls-focused mindset, identify opportunities to assess and challenge E&S risk data processes and controls, and make recommendations for implementing improvements.
                    • -
                    • Assess data quality and results obtained from public and private data sources work with internal stakeholders to improve our climate risk measurement and management capabilities.
                    • -
                    • Work with diverse internal stakeholders across business lines and functions to share assessments of E&S risk data and insights, contribute to improving E&S risk management and controls, business strategy, and ESG and climate disclosures.
                    • -
                    • Assess RBC’s capabilities in measuring financed emissions, setting net-zero targets and delivering carbon accounting insights across the enterprise.
                    • -
                    • Contribute to and lead the development and delivery of presentations and reports.
                    • -
                    • Lead workstreams and collaborations across multiple teams in order to accomplish the above.
                    • +
                    • Be a technical lead in the development of high-volume platforms & Data pipelines
                    • +
                    • Work with relevant stakeholders to identify sources of data and map out processes/data flow while researching opportunities for data acquisition and innovative new uses for existing data.
                    • +
                    • Design, construct, install, test, and maintain highly scalable data management systems while integrating new data management technologies into existing structures.
                    • +
                    • Develop ETL processes to move internal and external data into EllisDon's external cloud-based data lake: Develop separate ETL processes to move data from data lake to data warehouse(s).
                    • +
                    • Provide input and feedback to support continuous improvement in team processes
                    • +
                    • Providing thought leadership for all data solutions, including designing data solutions that meet and exceed customer expectations.

                    • +
                    • Continually improve our data pipelines and find innovative ways to maximize automation while recommending ways to improve data reliability, efficiency, and quality.

                    -

                    -

                    Must have

                    +

                    Is this the right role for you?

                      -
                    • Undergraduate degree in a quantitative discipline or similar.
                    • -
                    • Experience working in an analytics team, especially those tasked with solving difficult and/or vaguely-defined problems, and an advanced understanding of coding, programming and querying languages, including SQL and Python.
                    • -
                    • Experience developing presentations, visualizations and dashboards for executives and an interest in developing advanced analytical capabilities; excellent written and verbal communication skills.
                    • -
                    • Demonstrated ability in mathematical, statistical, financial or economic analyses on large, complex datasets and in translating data into business insights and storytelling.
                    • -
                    • A desire and proven ability to build new and innovative approaches to complex problems with minimal direction.
                    • -
                    • Commitment to quality and accuracy with a high level of attention to detail.
                    • +
                    • Have knowledge and understanding of Programming Languages: Python and/or Java, SQL, ETL methodologies and toolsets, AWS/Google ecosystem, Database design, MS SQL, MySQL and/or Redshift/Big Query and NoSQL
                    • +
                    • Comfortable working in a fast-paced environment and collaborative environment
                    +

                    EllisDon is proud to provide this unique career opportunity within a progressive environment with continuous learning and opportunity for growth, as well as a competitive compensation package.

                    +

                    Go ahead and be yourself. We'll pay you for it!

                    +

                    We are an equal opportunity employer. While only qualified candidates will be contacted for an interview, be sure to continually check our website for other related positions as they are posted.

                    +

                    Accommodation for Applicants will be made during the recruitment process when requested.

                    +

                    Apply today at www.ellisdon.com (or Share on LinkedIn , Facebook)

                    Qualifications

                    Skills

                    Behaviors

                    :

                    Motivations

                    :

                    Education

                    Experience

                    Licenses & Certifications

                    ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=7a6e8aa5-f1a1-4968-a315-d2f415a5a841,feed-importer@jobboard.io,,,,2023-04-09T20:26:20.361Z,False,0,17,82,https://talenthub.vectorinstitute.ai/jobs/203442827-data-engineer-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=7a6e8aa5-f1a1-4968-a315-d2f415a5a841,expired,2023-03-10T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Construction or Infrastructure,Mid-Senior Level,Bachelors Degree,New Posting, +5f677b3d-eeb2-40a6-a7bf-b2bdd150cd4c,212878377,BMO Financial Group,"Senior Analyst, Quantitative Analysis and Strategy",on_site,"Ontario, Canada",2023-04-06T17:12:03.455Z,"
                    +

                    Application Deadline:

                    04/13/2023

                    -

                    Nice to have

                    +

                    Address:

                    100 King Street West

                    +

                    +

                    Job Family Group:

                    Data Analytics & Reporting

                    +

                    +

                    +

                    +

                    Applies knowledge of advanced analytic algorithms and technologies to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups.

                      -
                    • Master of Management Analytics degree; CFA, CMA or CPA; audit or compliance experience. Knowledge of climate change science with experience in the development and use of climate and economic scenarios, models, projections and data; knowledge or familiarity with the climate risk and/or target setting guidance issued by PCAF, NZBA, TCFD, ISSB, and/or OSFI (B-15).
                    • -
                    • Experience with or interest in agile or design thinking methodologies or frameworks.
                    • -
                    • Knowledge and experience in quantitative model development, testing and validation.
                    • +
                    • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • +
                    • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                    • +
                    • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
                    • +
                    • Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
                    • +
                    • Applies scripting / programming skills to assemble various types of source data into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                    • +
                    • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., Analytical solutions, mathematical models, algorithms, machine learning, deep learning) to test, verify, refine hypotheses.
                    • +
                    • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                    • +
                    • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                    • +
                    • Performs experimental design approaches to validate finding or test hypotheses.
                    • +
                    • Uses the appropriate algorithms to discover patterns.
                    • +
                    • Builds effective relationships with internal/external stakeholders and ensures alignment.
                    • +
                    • Supports development of tools and delivers training for data analytics and AI.
                    • +
                    • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • +
                    • Leads/participates in the design, implementation and management of core business/group processes.
                    • +
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                    • +
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • +
                    • Works independently on a range of complex tasks, which may include unique situations.
                    • +
                    • Broader work or accountabilities may be assigned as needed.
                    -

                    -

                    -

                    What’s in it for you?

                    -

                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                    +

                    Qualifications:

                      -
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                    • -
                    • Leaders who support your development through coaching and managing opportunities
                    • -
                    • Work in a dynamic, collaborative, progressive, and high-performing team
                    • -
                    • A world-class training program in financial services
                    • -
                    • Opportunities to do challenging work
                    • -
                    • Access to a variety of job opportunities across business and geographies
                    • +
                    • Post-secondary degree in related field of study is preferred.
                    • +
                    • Knowledge of visualization techniques and concepts (e.g. PowerBI, Tableau).
                    • +
                    • Experience with programming languages (e.g. SQL, Python, SAS) and machine learning /deep learning algorithms/packages.
                    • +
                    • Experience in statistical analysis, data mining, and data cleansing / transformation.
                    • +
                    • Technical proficiency gained through education and/or business experience.
                    • +
                    • Verbal & written communication skills - In-depth.
                    • +
                    • Collaboration & team skills - In-depth.
                    • +
                    • Analytical and problem solving skills - In-depth.
                    • +
                    • Influence skills - In-depth.
                    • +
                    • Data driven decision making - In-depth.

                    +

                    Additional Job Description

                    +

                    The Quantitative Analysis and Strategy (QAS) team works closely with our partners within Corporate Treasury i.e. Structural Market Risk, Liquidity & Funding and Portfolio Management teams, and our Lines of Business partners across the bank. The team works to identify and quantify risks and opportunities through analyzing and modeling origination, utilization, prepayment behavior, pricing sensitivities, market size and revenue opportunities. The analysis and modeling work in the areas of mortgage, home equity, C&I and CRE loans, consumer & commercial deposits, various securities including MBS, ABS, Muni bonds, etc. are instrumental in pricing, valuation, interest rate risk measurement and hedging, balance sheet management and optimization strategies.

                    +

                    +

                    The Senior Analyst, Quantitative Analysis and Strategy in Corporate Treasury is ideal for one who wants to work on developing, enhancing, implementing and maintaining quantitative models and analytics suites. They would do so by using conventional econometric and machine learning techniques, for the purposes of asset liability and interest rate risk management, customer analytics, profitability, and stress testing under various macro-economic scenarios. This involves analyzing large account-level and transaction-level data, articulating the problem statement, and specifying the most appropriate quantitative solution.

                    -

                    Job Summary

                    -

                    Address:

                    TORONTO, Ontario, Canada

                    City:

                    CAN-ON-TORONTO

                    Country:

                    Canada

                    Work hours/week:

                    37.5

                    Employment Type:

                    Full time

                    Platform:

                    Internal Audit

                    Job Type:

                    Regular

                    Pay Type:

                    Salaried

                    Posted Date:

                    2023-04-28

                    Application Deadline:

                    2023-05-13
                    -

                    Inclusion and Equal Opportunity Employment

                    -

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    -
                    -

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                    -
                    ",,https://jobs.rbc.com/ca/en/job/R-0000058521/Senior-Manager-Data-Analytics-ESG-Centre-of-Excellence-Internal-Audit,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-05-15T22:41:00.000Z,False,0,3,12,https://talenthub.vectorinstitute.ai/jobs/221075121-senior-manager-data-analytics-esg-centre-of-excellence-internal-audit-at-rbc,,expired,2023-05-01T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -551486f5-0907-4e75-ab3e-f38f1e9201d0,216107068,BenchSci,"Senior Machine Learning Engineer, NLP (Remote)",full,"Toronto, Ontario Remote",2023-04-17T17:39:03.750Z,"
                    We are seeking a Senior Machine Learning Engineer - NLP to join our growing ML team. You will work on complex NLP problems that will have an impact on the 41,000+ scientists across the world who rely on BenchSci for their research. Reporting to the Engineering Manager, ML, you'll apply your domain expertise to build advanced machine learning algorithms, collaborate with data engineers to build benchmarking and data preparation pipelines, and core infrastructure engineers to deploy and monitor your models in our production system. In this role, you will have the opportunity to apply state-of-the-art solutions that will shape the future of scientific discovery.
                    -

                    You will:

                    -
                        -
                      • Design, build, evaluate and deploy robust, scalable and production ready ML models that enhance the speed and quality of life-saving research
                      • -
                      • Collaborate with data and core infrastructure engineers to solve the complex problems of extracting insights from biomedical text data
                      • -
                      • Continuously improve our machine learning workflow by keeping up to date with the latest optimizations in libraries such as PyTorch, and expand our usage of modern tools such as DVC
                      • -
                      • Drive design discussions, apply best practices, diagnose problems and lead the resolution
                      • -
                      • Own the solutions and long-term technical investments to inspire creativity and innovation at BenchSci
                      • -
                      • Work in collaboration with different stakeholders including BenchSci's R&D scientists and Chief Science Officer to learn, model, and capture the nuances of biology
                      • -
                      • Participate and contribute to sprint planning, estimation, and design/code reviews
                      • -
                      • Provide guidance to less experienced engineers and help to foster a culture of continuous growth
                      • -
                      • Establish and apply best industry practices
                      • -
                    -
                    -

                    You have:

                    -
                        -
                      • 4+ years of experience working as a professional developer or researcher applying machine learning techniques to solve business problems
                      • -
                      • Strong experience with Python and programming fundamentals
                      • -
                      • Extensive experience with NLP and PyTorch
                      • -
                      • Experience with designing, building and evaluating robust and scalable production ready ML models
                      • -
                      • Strong critical thinking skills and an eye for details such as scalability and performance of a potential solution
                      • -
                      • Experience with data manipulation and processing, such as SQL or pandas
                      • -
                      • A growth mindset and a constant desire to learn and improve
                      • -
                    -
                    -

                    -

                    -
                    Benefits and Perks:
                    -
                    An engaging remote-first culture
                    -
                    A great compensation package that includes BenchSci equity options
                    -
                    15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
                    -
                    Unlimited flex time for sick days, personal days, religious holidays
                    -
                    Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
                    -
                    A $2000 CAD* Annual Learning & Development budget
                    -
                    A $1000 CAD* home office set-up budget
                    -
                    A $2500 CAD*wellness, lifestyle and productivity spending account for employees
                    -
                    Generous parental leave benefits with a top-up plan or paid time off options
                    -
                    *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.
                    -

                    -
                    About BenchSci:
                    -
                    BenchSci's vision is to help scientists bring novel medicine to patients 50% faster by 2025. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                    -
                    Backed by F-Prime, Inovia, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                    -

                    -
                    Our Culture:
                    -
                    BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                    -
                    We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                    -
                    You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
                    -

                    -
                    -Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
                    -

                    -
                    -Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
                    -

                    -
                    #LI-Remote
                    -
                    ",,https://jobs.lever.co/benchsci/b06a1605-cacc-4593-b137-15d6bda35504?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-05-17T20:40:57.854Z,False,0,11,65,https://talenthub.vectorinstitute.ai/jobs/216107068-senior-machine-learning-engineer-nlp-remote-at-benchsci,https://jobs.lever.co/benchsci/b06a1605-cacc-4593-b137-15d6bda35504,expired,2023-04-17T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Mid-Senior Level,No Degree,New Posting, -0a8b9b5d-7301-405a-92e6-6f5e5070b501,229115222,Scotiabank,"First Nations/Metis/Inuit - Senior Analyst, Data & Analytics, Fully Remote Career Opportunity",on_site,Canada : Ontario : Toronto || Canada : Ontario : Kingston || Canada : Ontario : Ottawa || Canada : Ontario : Sudbury || Canada : Ontario : Thunder Bay,2023-05-25T15:52:03.085Z,"

                    -

                    -

                    -

                    -

                    Requisition ID: 177183

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    -

                    This posting is intended for Indigenous Peoples as a Special Program under the Human Rights Act and the Employment Equity Act. Indigenous Peoples include status, non-status First Nation, Métis and Inuit People under the Employment Equity Act within Canada. Scotiabank provides extended benefits to Indigenous employees aimed at supporting and promoting their culture.

                    -

                    -

                    Who we are:

                    -

                    -

                    The Global Risk Management, Retail Credit Risk manages the risks of lending credit to retail and small business customers, maximizing profitability and includes: Risk Technology, Retail Risk Secured Lending and Small Business, and Retail Risk Data and Analytics. This contains analyzing the effectiveness of risk strategies, performing portfolio trend analysis, and pulling, summarizing, and presenting data.

                    -

                    -

                    What you can expect:

                    -

                    -

                    Portfolio Monitoring

                    -
                    • Create and maintain reports and dashboards that provide actionable insights.
                    • Execute on data requests accurately within a timely manner.
                    • Owner of the end-to-end reporting process (from raw data in SQL tables to automated production-grade dashboards) and be the key point of contact.
                    • Improve monitoring on new accounts acquired through different channels and special programs. Track vintage performance and ensure a healthy growth of the portfolio.
                    • +

                      New grads with demonstrable problem solving and critical thinking skills will be considered.

                      +

                      +

                      +

                      We’re here to help

                      +

                      +

                      At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                      +

                      +

                      As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                      +

                      +

                      To find out more visit us at https://jobs.bmo.com/ca/en.

                      +

                      +

                      BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                      +

                      +

                      Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                      +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Analyst--Quantitative-Analysis-and-Strategy_R230005853?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-04-10T17:17:02.237Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/212878377-senior-analyst-quantitative-analysis-and-strategy-at-bmo-financial-group,,expired,2023-04-06T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +19537311-e591-43ea-b77b-c3610e2722e6,206568606,RBC,"Manager, Risk Analytics – Counterparty Credit Risk Innovative Analytics ( 6 Months Contract)",on_site,"Toronto, ON, Canada",2023-03-20T17:16:02.542Z,"
                    +

                    Come Work with Us!

                    At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                    Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                    +

                    Job Title

                    Manager, Risk Analytics – Counterparty Credit Risk Innovative Analytics ( 6 Months Contract)

                    +

                    +

                    Job Description

                    +

                    +

                    What is the Opportunity?

                    +

                    +

                    Our team is focused on the design and deployment of capabilities that enable the end-to-end transformation of our Capital Markets’ Counterparty Credit Risk reporting and analytic metrics, building and leading with technologies that put advanced analytic and AI practices at the forefront.

                    +

                    +

                    We are a team of 30+ resilient, collaborative people with strong backgrounds in both risk management and data analytic, delivering trusted data and analytic capabilities to support top of the house Counterparty Credit Risk Analytic function for RBC Capital markets operations.

                    +

                    +

                    Our main goal is building a future-proof tech stack with modern, flexible architecture that is reusable across different internal channels. In this role, you will join a newly formed Advanced Analytic Team that embraces innovation and is excited to bring a fresh perspective into the design, enhancement and deployment of a state of the art risk analytic platform.

                    +

                    +

                    What will you do?

                    +

                    +

                    As the Manager in Innovative Analytics Team, you will play a key role in contributing to continuous research, design and delivery of an advanced multi-disciplined risk analytic platform within the RBC Capital Markets Counterparty Credit Risk Management Team.

                    +

                    +

                    Nurturing culture and facilitating learning and knowledge sharing will be second nature to you as well as applying your technical know-how to ensure that the Innovative Analytic team is on the leading edge of technical delivery practices. You’ll have the tools and support needed to achieve extraordinary results that make a significant impact extending beyond the boundaries of traditional technology roles. Ideas start here – and you will build great technology.

                    +

                    +

                    If you’re a hands-on technical expert with proven experience operating within high-performing teams, are continuously learning, and excited to collaborate with those around you—we have a spot for you on our team.

                    +

                    +
                    • Develop a thorough understanding of the current state of CCR analytic frameworks, end-to-end CCR metric generation processes and their connection with various upstream source systems.
                    +
                    • Contribute to the research, development and implementation of new mathematical models for calculating various CCR measures. Considerable amount of creative, innovative & analytical thinking and problem solving is required.
                    +
                    • Demonstrate exceptional communication skills (written and oral) by synthesizing key messages across distinct domains into a coherent action plan. +
                    +
                      +
                    • Leverage data analysis, querying and data exploration knowledge on CCR’s diverse number of data sources to perform statistical analysis, build machine learning models and deploy production-grade solutions for identifying insights and opportunities.
                    • +
                    • Become an expert in understanding CCR Innovative Analytics Team’s exiting libraries, leverage them to support delivery of new initiatives in collaboration with various CCR teams and lead KT sessions when required.
                    • +
                    • Partner with and support other teams as required; there are many teams, yet we are one team.
                    -

                    -

                    Origination Strategies

                    -
                    • Analyze strategy effectiveness and proactively identify any emerging risks, make recommendations to support business growth while maintaining losses within risk appetite.
                    • Ensure all new approved credit is aligned with risk appetite and regulatory requirements and will optimize risk/return over the long term.
                    • Gain a deep understanding of various adjudication platforms and systems. Implement strategy changes across different technology platforms and channels.
                    • Identify opportunities to improve/test new risk strategies with building a robust and competitive portfolio in mind.
                    • +

                      +

                      What do you need to succeed?

                      +

                      +

                      Must-have

                      +
                      • Graduate degree in STEM fields; double-major in Economics/Finance/Business and STEM. Strong grasp of fundamentals in statistics (hypothesis testing, regression, inference, and time series) and one of the key risk pillars (market, credit or liquidity).
                      +
                        +
                      • Exceptional development expertise in Python programming writing production-grade code. Expertise with object-oriented and event-driven architecture (OOAD & SOLID principles) and Spark frameworks.
                      • +
                      • Strong data profiling, cleaning, engineering, mining and technical documentation skills; SQL/Data Stores: SQL, PostgreSQL, S3, HDFS and SparkQL.
                      • +
                      • Hands on experience with system configuration and DevOps tools (Jira, Git, GitHub and Confluence).
                      • +
                      • Self-starter with excellent communication skills, with proven ability to grow and mentor more junior technical professionals.
                      -

                      -

                      Support Business Line Initiatives/Projects

                      -
                      • Collaborate and communicate effectively with business partners (product, operation, customer growth etc.) on new acquisition initiatives.
                      • Represent Risk’s point of view and liaise with stakeholders throughout the organization to listen actively, communicate, and explain risk measures clearly and as appropriate.
                      • +

                        +

                        Nice-to-have

                        +
                          +
                        • Experience developing interactive and sophisticated dashboards that communicate complex data insights to a diverse set business stakeholders.
                        • +
                        • Familiarity with building dashboards using Plotly and Dash in Python is an asset.
                        • +
                        • Experience with Airflow, graph databases, Jupyter Notebooks, other ML-related technologies.
                        • +
                        • Familiarity running distributed ML workloads in cluster orchestrated environments.
                        • +
                        • Experience with HTML, CSS and Web Development would be an asset.
                        -

                        -

                        What we look for in successful candidates:

                        -

                        -
                        • A University degree in Mathematics, Computer Science, Engineering, Economics, Science, Finance or Business or 1 year of experience working in data analytics or data science
                        • Must be comfortable manipulating data
                        • Strong leadership, collaboration, and communication skills
                        • Results driven individual with high level of curiosity and ability to dive into details without losing sight of the big picture
                        • Exceptional organization skills to prioritize, manage, and implement a variety of competing initiatives, on a concurrent or staggered basis
                        • Willingness to learn SAS, SQL, R or Python
                        • +

                          +

                          +

                          What’s in it for you?

                          +

                          +

                          We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                          +
                            +
                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.
                          • +
                          • Leaders who support your development through coaching and managing opportunities.
                          • +
                          • Ability to make a difference and lasting impact.
                          • +
                          • Work in a dynamic, collaborative, progressive, and high-performing team.
                          • +
                          • Opportunities to do challenging work.
                          • +
                          • Opportunities to building close relationships with clients.
                          -

                          -

                          #riskjobsontario

                          -

                          -

                          Location(s): Canada : Ontario : Toronto || Canada : Ontario : Kingston || Canada : Ontario : Ottawa || Canada : Ontario : Sudbury || Canada : Ontario : Thunder Bay

                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-First-NationsMetisInuit-Senior-Analyst%2C-Data-&-Analytics%2C-Fully-Remote-Career-Opportunity-ON/569686317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-19T15:57:03.647Z,False,0,3,17,https://talenthub.vectorinstitute.ai/jobs/229115222-first-nations-metis-inuit-senior-analyst-data-analytics-fully-remote-career-opportunity-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-First-NationsMetisInuit-Senior-Analyst%2C-Data-&-Analytics%2C-Fully-Remote-Career-Opportunity-ON/569686317/,expired,2023-05-25T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -36226944-a3c3-421b-a6dd-dbee773c5af0,235579016,Sun Life Financial,Senior Data Engineer,on_site,"Ontario, Canada",2023-06-12T16:10:01.844Z,"
                    +

                    +

                    +

                    Job Summary

                    As the Manager in Innovative Analytics Team, you will play a key role in contributing to continuous research, design and delivery of an advanced multi-disciplined risk analytic platform within the RBC Capital Markets Counterparty Credit Risk Management Team.

                    Your responsibilities will not be limited to, leveraging data analysis, querying and data exploration knowledge on CCR’s diverse number of data sources to perform statistical analysis, build machine learning models and deploy production-grade solutions for identifying insights and opportunities

                    Address:

                    TORONTO, Ontario, Canada

                    City:

                    CAN-ON-TORONTO

                    Country:

                    Canada

                    Work hours/week:

                    37.5

                    Employment Type:

                    Full time

                    Platform:

                    Group Risk Management

                    Job Type:

                    Contract (Fixed Term)

                    Pay Type:

                    Salaried

                    Posted Date:

                    2023-03-16

                    Application Deadline:

                    2023-04-05
                    +

                    Inclusion and Equal Opportunity Employment

                    +

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    +
                    +

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                    +
                    ",,https://jobs.rbc.com/ca/en/job/R-0000052963/Manager-Risk-Analytics-Counterparty-Credit-Risk-Innovative-Analytics-6-Months-Contract,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-04-06T17:21:02.651Z,False,0,7,28,https://talenthub.vectorinstitute.ai/jobs/206568606-manager-risk-analytics-counterparty-credit-risk-innovative-analytics-6-months-contract-at-rbc,,expired,2023-03-20T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, +a5565298-e197-4617-b691-b5dd4a459c36,210223563,Sun Life Financial,Senior Campaign Data Analyst,on_site,"Ontario, Canada",2023-03-30T17:41:02.360Z,"

                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                    Job Description:

                    -

                    At Sun Life, we work together, share common values and encourage growth and achievement. We offer many career paths that attract a wide variety of talent and skills. Follow a path that lets your talents shine.

                    -

                    -

                    Role Summary:

                    +

                    Role Summary

                    +

                    Join a team that is transforming data and analytics at Sun Life Financial (SLF) Canada. Sun Life’s Client Experience Office (CXO) Analytics area is aggressively enhancing its campaign design and data integration capability with new tools, and most importantly, new talent.

                    +

                    As a member of the CXO Campaign Data Analytics team, you will play a pivotal role in working closely with our business partners to enable digital engagement, understand our client needs in new ways, and ultimately enable a leading client experience. You will leverage our vast data, to enable our business objectives by working on industry leading decision engines and delivering data driven real time decisions. In joining CXO Analytics, you will be part of one of the fastest growing areas of our business, representing the future of our business and our industry.

                    -

                    The Client Experience Office (CXO) is an important pillar of Sun Life’s corporate strategy and as such, is seeking experienced data engineering individuals with a proven track record working with data consumers to extract meaningful insights from enterprise data. Senior Business data engineers play an indispensable role in assembling the necessary data products that fuel myriad of analytical models used by our various business units across Canada.

                    -

                    -

                    Reporting to the Manager of Data Engineering, the Senior Business Data Engineer will be a key member of Data Enablement Team responsible for building enriched data products that provide deep insights about our Client, Advisor, Product, Transactions along with their intricate relationships. The Senior Business Data Engineer will work with data analysts and data scientists to help answer complex business enquires such as identifying new business opportunities, understanding our client behavior and optimizing areas of our sales cycles.

                    +

                    What will you do?

                    -

                    What will you do?

                    +

                    As a Senior Campaign Data Analyst your responsibilities will include:

                      -
                    • Obsessed with understanding our enterprise data and interpreting it in the best way possible to derive business value

                    • -
                    • Design and engineer data models that represent our key business entities such as our Advisor, Client & Product

                    • -
                    • Ensure high level of data quality and data integrity are maintained across data sources for business

                    • -
                    • Convert complex business and technical rules into logic for data flows and data pipelines

                    • -
                    • Work with our Data Science teams to implement data products for various use cases

                    • -
                    • Collaborate with stakeholders and incorporate into solution design for various use case requirements

                    • -
                    • Standardize metadata into a common glossary along with the necessary documentation for data consumers

                    • +
                    • Plan, set up, and execute outbound and inbound digital campaigns and real time decision flows in accordance with the strategy and objectives of campaign stakeholders.

                    • +
                    • Work in partnership with internal stakeholders to leverage personas, customer journeys and data strategies to develop and implement marketing automation programs.

                    • +
                    • Gather, document, and help form business requirements, key performance indicators, and other functional and technical requirements.

                    • +
                    • Create high quality client experience through use of digital channels, interactive journeys and triggered engagements.

                    • +
                    • Support stakeholders and third parties throughout the campaign implementation process

                    • +
                    • Interact frequently with stakeholders including interaction with marketers, analysts, web developers, content and creative designers.

                    • +
                    • Work with a small number of data analysts, data engineers, data scientists to deliver on projects and initiatives that are complex.

                    • +
                    • Manage multiple campaigns simultaneously.

                    • +
                    • Perform extensive data profiling and develop deep understanding of the highly complex data landscape.

                    • +
                    • Deepen the organizations understanding of client and member level data and provide expert guidance on how best to leverage data to provide actionable business insight.

                    -

                    -

                    What do you need to succeed?

                      -
                    • 3-5 years hands-on experience working on AWS technologies for data processing and analytics

                    • -
                    • 2+ years experience with AWS Glue for ETL

                    • -
                    • 3 years experience in Pyspark and SQL

                    • -
                    • 5 years hands-on experience with relational database systems, relational models, dimensional models etc.

                    • -
                    • 3-5 years experience with engineering data products as input to various analytical models

                    • -
                    • 3-5 years building feedback loops between model deployment and its data – i.e. tune & tweak data products to achieve scale, optimization, etc.

                    • -
                    • Sound understanding of data management principles (data warehousing, data quality, master data management, etc.)

                    • -
                    • Sound understanding of data modelling and a passion for analytics

                    • -
                    • Proven track record in leveraging SQL and SQL-based programming to solve business problems

                    • -
                    • Ability to translate complex business requirements into a set of data ingestion pseudocode

                    • -
                    • Proven ability to leverage knowledge of data engineering to extract, conform and integrate a variety of operational data sources into pro‐duction-grade data products

                    • -
                    • Demonstrate blend of tenacity, creativity, and discipline required to develop ground breaking self-serve data models that data scientists can consume

                    • -
                    • Excellent verbal and written communication skills; have executive presence and proven ability to partner with Data Scientists to articulate insights gleaned from the model and the underlying data

                    • +
                    • Manage and execute on business data requests ensuring requests are aligned to business priorities and the request fulfillment meets the business needs.

                    • +
                    • Collaborates in an agile team to understand business objectives and develop campaign solutions that deliver best in class, engaging and highly relevant experiences.

                    • +
                    • Liaise with stakeholders across other teams to resolve discrepancies.

                    • +
                    • Manage and execute data requests ensuring requests are aligned to business priorities and the request fulfillment meets the business needs.

                    • +
                    • Support campaign target list generation, analyses, measurement, and reporting

                    -

                    Education and Qualifications:

                    +

                    What will you need to succeed?

                      -
                    • Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent

                    • -
                    • Graduate degree in business or quantitative science strongly preferred

                    • -
                    -

                    -

                    Unique Requirements

                    +
                  • Bachelor’s degree in a field with a strong technical core such as Computer Science, Software engineering, Business Analytics, Engineering Science, Statistics, Math, Business Commerce, or equivalent working experience

                  • +
                  • Over 4 years experience in campaign design, data management and a solid understanding of the data needs of marketing, campaigns, and business.

                  • +
                  • 3+ years experience in data analytical role: Analytical programming languages (e.g., SAS, SQL, Python).

                  • +
                  • Strong curiosity and drive for learning (formal & informal) to develop technical skills and awareness of business issues.

                  • +
                  • Excellent communication skills (both written and oral), combined with strong interpersonal and organizational skills.

                  • +
                  • +

                    The candidates must have relevant experience in the following areas:

                      -
                    • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

                    • -
                    • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                    • +
                    • Knowledge of Inbound and Outbound campaigns

                    • +
                    • Knowledge on the data needs for analytics and campaigns

                    • +
                    • Communication and liaison experience between business, analytics, and IT

                    -

                    -

                    What would be nice to have?

                    +
                  • + +

                    +

                    What will be nice to have?

                      -
                    • Understand and Embrace Agile Operating Model

                    • -
                    • Proven Experienced working as Product Owner in Scrum or Service Request Manager in Kanban projects

                    • -
                    • Experience working in a large financial services organization

                    • -
                    • Knowledge of fundamental statistical models & techniques

                    • +
                    • Related work experience in Campaign execution and operations, marketing automation, digital communications, database marketing and data analysis, decision engines (e.g., SAS RTDM)

                    • +
                    • General programming language knowledge and basic application design

                    What\'s In It For You?

                    @@ -114098,15 +121207,15 @@ a12bc77b-0f19-43ab-9995-861be20d908c,221075121,RBC,"Senior Manager, Data & Analy
                  • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                  • Named “Best Places to Work” by Glassdoor - 2021

                  • Canada Award for Excellence for Mental Health at Work - 2021

                  • -
                  • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid, #LI-Remote

                  • +
                  • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid #LI-Remote

                  • Competitive salary and bonus structure influenced by market range data

                  • Pension, stock and savings programs to help build and enhance your future financial security

                  • A friendly, collaborative, and inclusive culture

                  • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

                  • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                  • +
                  • The opportunity to move along a variety of career paths with amazing networking potential

                  • -

                    The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                    @@ -114119,116 +121228,408 @@ a12bc77b-0f19-43ab-9995-861be20d908c,221075121,RBC,"Senior Manager, Data & Analy

                    Salary Range:

                    74,100/74 100 - 120,800/120 800

                    Job Category:

                    Advanced Analytics

                    -

                    Posting End Date:

                    18/06/2023
                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Business-Data-Engineer_JR00076392-2?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-06-19T23:54:00.000Z,False,0,3,17,https://talenthub.vectorinstitute.ai/jobs/235579016-senior-data-engineer-at-sun-life-financial,,expired,2023-06-12T16:10:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -d713bcee-57f5-4b9b-9cf4-37586693a153,228135288,BMO Financial Group,"Senior Analyst, Business Banking Credit Risk Analytics (Hybrid)",on_site,"Ontario, Canada",2023-05-22T15:39:03.190Z,"
                    -

                    Application Deadline:

                    08/17/2023

                    +

                    Posting End Date:

                    16/04/2023
                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Campaign-Data-Analyst_JR00077871?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-04-13T17:46:03.157Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/210223563-senior-campaign-data-analyst-at-sun-life-financial,,expired,2023-03-30T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +f24a634f-0d1f-4bd1-af00-eceea258065e,212878376,BMO Financial Group,Process & Data Specialist,on_site,"Ontario, Canada",2023-04-06T17:12:03.396Z,"
                    +

                    Application Deadline:

                    05/04/2023

                    -

                    Address:

                    33 Dundas Street West

                    +

                    Address:

                    100 King Street West

                    Job Family Group:

                    Data Analytics & Reporting

                    -

                    MANDATE

                    +

                    Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                    +
                      +
                    • Builds effective relationships with internal/external stakeholders.
                    • +
                    • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                    • +
                    • Designs, develops, and implements innovative analytical solutions.
                    • +
                    • Designs and produces regular and ad-hoc reports, and dashboards.
                    • +
                    • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                    • +
                    • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                    • +
                    • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                    • +
                    • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                    • +
                    • Designs, develops, and implements innovative analytical solutions.
                    • +
                    • Designs and produces regular and ad-hoc reports, and dashboards.
                    • +
                    • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                    • +
                    • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • +
                    • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                    • +
                    • Analyzes data and information to provide subject-matter insights and recommendations.
                    • +
                    • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                    • +
                    • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                    • +
                    • Builds effective relationships with internal/external stakeholders.
                    • +
                    • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                    • +
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                    • +
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • +
                    • Works independently on a range of complex tasks, which may include unique situations.
                    • +
                    • Broader work or accountabilities may be assigned as needed.

                      Qualifications:

                      +
                    • +
                    • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                    • +
                    • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Very good.
                    • +
                    • Technical proficiency gained through education and/or business experience.
                    • +
                    • Verbal & written communication skills - In-depth.
                    • +
                    • Collaboration & team skills - In-depth.
                    • +
                    • Analytical and problem solving skills - In-depth.
                    • +
                    • Influence skills - In-depth.
                    • +
                    • Data driven decision making - In-depth.
                    • +
                    +

                    +

                    +

                    We’re here to help

                    +

                    +

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    +

                    +

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    +

                    +

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    +

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    +

                    +

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Process---Data-Specialist_R230006303?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-04-13T21:38:00.000Z,False,0,2,14,https://talenthub.vectorinstitute.ai/jobs/212878376-process-data-specialist-at-bmo-financial-group,,expired,2023-04-06T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +a94f82c0-4be8-4b6e-8415-f52086aef09d,207763647,Scotiabank,"Manager, Data Platforms Risk & Audit Management",on_site,Canada : Ontario : Toronto,2023-03-23T17:22:02.967Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 175932

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    Purpose:

                    +

                    +

                    The Data Platform Management team is looking for a Manager, Data Platforms Risk & Audit Management to lead the team’s risk management and audit remediation activities. Working with the Data Office, technology partners and risk and audit stakeholder, this role will be responsible for ensuring alignment between our data platform strategy and roadmaps with committed audit deliverables and for leading the design and execution of a risk and audit management program.

                    +

                    +

                    The selected candidate will play a crucial part in defining and implementing a Data Risk and Control Framework and its associated processes for Data Risk identification, monitoring and reporting, partnering with various businesses and functions to strengthen CID&A’s Risk Management practices.

                    +

                    +


                    Accountabilities:

                    +

                    +

                    • Develop and execute a framework for risk and audit issues management, including the creation of a risk and audit issue registry for data platforms.
                    • Track risk and audit remediation tasks and ensure they are being addressed in a timely and effective manner.
                    • Coordinate issue remediation activities with and drive a consistent engagement from issue owners and stakeholders across the organization.
                    • Provide subject matter expertise and act as the primary point of contact for risk and audit management activities.
                    • Support and maintain Data Platforms risk and audit related documentation and tools
                    • Manage follow-ups on the new findings raised from regulatory and internal divisional audits to ensure all deliverables are up-to-date and properly documented.
                    • Assess risks, identify key controls, and document appropriate risk mitigation plans to execute on audit deliverables. Applicants should be able to identify control gaps effectively and efficiently, as well as summarize and clear findings with senior stakeholders.
                    • Ensure data platform roadmaps are in alignment with audit commitments and include solutions to address identified risks.
                    • Support Issue Owners in defining Management Action Plans in response to new audit findings.
                    • Communicate risk and audit issues to executive leadership and provide insights and recommendations for risk management strategies.
                    • Collaborate with cross-functional teams to ensure alignment and consistency in risk management practices.

                    +

                    +

                    What we're looking for:

                    +

                    +

                    • Experience auditing design and operating effectiveness of data controls frameworks in large scale organizations or an experienced IT Risk professional with an interest and desire to expand into data controls framework.
                    • The ability to effectively manage senior stakeholder relationships, building credibility and trust, demonstrating strong communication, technology and auditing skills and business understanding to effectively influence and negotiate with stakeholders.
                    • Experience managing large projects in complex operational environments and working with multiple stakeholders across the organization.
                    • Ability to independently perform and manage risk and controls assessments, end-to-end, and ability to effectively collaborate with audit teams and stakeholders.
                    • Strong communications skills to facilitate meetings with various stakeholders, communicate ambiguous topics in a structured manner and deliver presentations/demos.
                    • Attention to details, high standards for quality.

                    +


                    It would be nice if you had...

                    +

                    +

                    • Experience in IT audit, cloud implementations and data migrations.
                    • Knowledge of Google Cloud Platform data capabilities.
                    • Experience auditing business applications including application controls, access, and security administration.
                    • Experience of data analytics and data visualization would be highly desirable: the ability to utilise and analyse data to highlight control gaps and areas for improvement would be of benefit.
                    • Prior experience with Data Management projects such as Data Governance, Data Quality, Master Data Management, Reference Data Management, Metadata Management; Hands-on experience defining and testing data controls.
                    • Excellent problem-solving skills, ability to see the big picture with high attention to critical details.
                    • Bilingual in Spanish would be an asset.

                    +

                    +


                    Requirements & Qualifications:

                    +

                    +

                    • Post-Secondary education completed. Advanced degree preferred but not mandatory
                    • 5+ years of experience in data management, data governance, internal control, risk management, compliance, audit and/or related areas
                    • Knowledge of database platforms, ETLs and reporting/BI tools preferred

                    +

                    +

                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Platforms-Risk-&-Audit-Management-ON-M5H1H1/568814817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-13T17:27:03.462Z,False,0,2,18,https://talenthub.vectorinstitute.ai/jobs/207763647-manager-data-platforms-risk-audit-management-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Platforms-Risk-&-Audit-Management-ON-M5H1H1/568814817/,expired,2023-03-23T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +0b02bd55-548f-4915-aa08-e727ae3c464f,212880714,TD Bank Group,"Senior Analyst, Campaign Analytics & Insights",on_site,"Toronto, ON",2023-04-06T17:24:03.168Z,"
                    +

                    Company Overview

                    +
                    +

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    +

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    +

                    -

                    The Senior Analyst, Business Banking Credit Risk Analytics supports the execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies. She/he further supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance, and minimizes risk.

                    +

                    Department Overview

                    +
                    +Department Overview
                    The Marketing Delivery team is a central source of internal and external consumer insights and data analytics which supports both corporate and business unit strategies for TD Bank Financial Group Canada and TD Bank, America’s Most Convenient Bank.
                    The Marketing Delivery team mission is to be influential change agents and consumer advocates to help deliver the better bank and to drive shareholder return through optimizing the impact of marketing. We do this by delivering hindsight (what happened), insight (why), and foresight (future actions) on how to best reach consumers, who to target, what to say, and build intelligence on the market and competitive landscape. The group seeks to deliver excellence in analytics and insights to support short-term business success as well as long-term strategy of the bank.
                    The Marketing Delivery team brings together a diverse range of technical and business expertise including market research, business analytics, data science and modelling, business intelligence, data strategy and governance, data management, campaign targeting and delivery, and visualization.

                    -

                    The role has three primary areas of accountability which are described in more detail below. Across all these areas, he/she acts as a trusted advisor to Risk and the business, providing specialized consulting, analytical and technical support. This includes engaging key stakeholders on objectives and requirements, building effective analyses & tools to support decisions, and presenting findings in a simple, clear way to drive action. While this role focuses on Business Banking across North America, it may also work on broader enterprise-wide initiatives.

                    +

                    Job Description

                    +

                    The successful candidate will be responsible for Campaign Analytics within the broader Marketing Analytics group. If you are driven by understanding data and how we can help our LOB reach the best customers and continuing to challenge the “status quo” to make our campaigns and processes better, then this is the role for you.
                    Success in this role will be achieved by:
                    1. Translating key business objectives into insight rich experiments that drive marketing ROI
                    2. Ensuring execution (i.e., list creation) is done efficiently and with excellence
                    3. Designing campaign results can be actioned by providing high value campaign reporting
                    4. Work in a consultative role to provide “value-added” insights in the form of analysis, interpretation and advice of campaign reporting
                    5. Your success will be predicated on your ability to forge strong partnerships, communicate effectively, deliver on-time, and continuously strive for increased efficiency.
                    Responsibilities
                    · Design/execute/measure high impact direct to consumer marketing experiments
                    · Continuously improve campaign design and delivery by leveraging any and all analytical tools/techniques at your disposal
                    · Execute with excellence
                    · Manage your project pipeline to ensure agreed upon timelines can be met
                    · Proactively provide analytical guidance to key stakeholders, based on deep understanding of the businesses, to understand and enhance marketing ROI
                    · Maintain a culture of risk management and control, supported by effective processes and sound infrastructure

                    -

                    Develop Strategy and Portfolio level monitoring that yield insight

                    -
                      -
                    • Create presentations and self-service tools to allow Senior Executives, Product Partners and other stakeholders to clearly understand the performance of Credit Strategies and the Overall North American Business Banking portfolio.
                    • -
                    • Conducts independent analysis and assessment to resolve strategic issues.
                    • -
                    • Highlight insights that drive improvements in business profitability and performance, including identification of emerging issues and trends.
                    • -
                    • Continuously improve consistency and transparency of risk measurement, metrics and reporting
                    • -
                    • Develop a strong understanding of Business Banking Data Architecture and how data flows between systems.
                    • -
                    • Determine the optimal sources of data for timely and effective monitoring. Surface opportunities to further improve the accuracy and timeliness of reports.
                    • -
                    • Assemble presentations that are intuitive, easily digestible and action oriented.
                    • -
                    • Support strong governance of reporting processes. Participate in any migration projects that will impact the availability and meaning of Business Banking data.
                    • -
                    • Support the maintenance of operational procedures and processes related to analytical and reporting processes.
                    • -
                    +

                    Requirements

                    +
                    +

                    Required Skillset
                    · Familiarity with direct marketing principles (Predictive Models, Experiment Design, A/B testing, Sample Size calculations, Net Performance Measurements, etc.)
                    · Good knowledge of everyday banking products and transactions; Mutual Funds, Investment Products, Savings, GICs and registered banking products
                    · Technical and detail oriented
                    · Knowledge of how campaigns are created by leveraging customer data from internal data warehouses through the use of programming tools such as Unica, SAS, SQL and/or Python/Pyspark
                    · A project management mindset to help deliver on time to specifications
                    · Team player while able to work independently
                    · Pragmatic decision maker blending a mix of intellect, experience and street smarts
                    · A profit driven mindset

                    +

                    Job Requirements
                    · 1-2+ years of relevant experience in a direct marketing, consulting, analytics, or agency-side role in financial services/telecom (or other high volume direct marketing industries)
                    · Significant experience with IBM Campaign (Unica)
                    · Knowledge of SQL, Python/PySpark; knowledge of databases and data structures; knowledge of vendors and file format requirements
                    · Experience designing and executing successful direct marketing experiments, including channel, A/B, Creative/Copy test etc…
                    · Familiarity with concepts such as “next best offer” and “always-on” an asset
                    · Degree in business, science, statistics, engineering, or other quantitative discipline
                    · Track record of delivering successful initiatives on time and on budget

                    +

                    +

                    Hours

                    +
                    37.5

                    -

                    Forecast Portfolio Performance

                    -
                      -
                    • Participate in regular forecasting discussions, particularly around PCL (Provision for Credit Losses).
                    • -
                    • Maintain strong relationships with Collections units to foresee performance trends that may impact forecasts.
                    • -
                    • Undertake stress testing or other performance analyses to understand the range of potential financial outcomes.
                    • -
                    +

                    Inclusiveness

                    +

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -

                    Oversee development of Risk and Capital Models

                    +
                    ",,https://jobs.td.com/en-CA/jobs/18012596/senior-analyst-campaign-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-13T17:29:06.137Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/212880714-senior-analyst-campaign-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18012596/senior-analyst-campaign-analytics-insights-toronto-ca/,expired,2023-04-06T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +38eeafa2-4ab7-48a1-81a9-3a8fb83413ec,213973192,TD Bank Group,Sr. Machine Learning Engineer ML Engine(Layer 6),on_site,"Toronto, ON",2023-04-10T17:24:02.767Z,"
                    +

                    Company Overview

                    +
                    +

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    +

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    +
                    +

                    +

                    Department Overview

                    +
                    +Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence.

                    Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 – Visual Relationship (winner in 2019).
                    +

                    +

                    Job Description

                    +
                    +The goal of the ML Engine team is to enable training and deploying robust and high-performing models by providing a solid foundation and allowing for fast iteration. We are looking for experienced Senior Machine Learning Engineers (engineering lead) who have worked under tight deadlines and guided teams towards successful deliveries. The ideal candidate is a master of coding and system design with track record of technical leadership. They are experts in managing complex requirements and working with big data.

                    +

                    The candidate will be the go-to person for the machine learning engine. They will lead efforts of members on the ML Frameworks team shipping core engine from 0 to 1, which will be used across the Bank. The candidate will interact with machine learning scientists, MLOps teams to develop systems that will satisfy the needs of machine learning projects.

                    +

                    What are your main responsibilities?

                      -
                    • Establish effective working relationships with Canadian and US modeling teams
                    • -
                    • Support Business Banking Credit leaders in overseeing model performance and understanding shifts in their performance. Petition for new models as performance deteriorates.
                    • -
                    • Collaborate on the development of new models by providing business insights into the selection and use of variables. Ensure datasets used for model development are robust, and that new model implementation is thoroughly tested and reliable.
                    • +
                    • Own and ship a significant set of the ML engine.
                    • +
                    • Lead the design and implementation of the ML engine, including data pipelines, feature pipelines, model, inference, and production hand-off patterns.
                    • +
                    • Go-to person for machine learning engine at the bank.
                    • +
                    • Lead and mentor Machine Learning Engineers to ensure best engineering practices in our systems.
                    +

                    -

                    ____________________________________________________________________________________

                    +

                    Requirements

                    +
                    +Must-Have:

                    +

                    Bsc+ in Computer Science, Math, Physics, or similar
                    5+ years of extensive programming experience, at least 3 years of experience in ML systems.
                    3+ years experience of building machine learning systems.
                    Expert with Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Spark, Cassandra, Kafka, Elasticsearch.
                    Experience with Big Data solutions developed in large cloud computing infrastructures such as Azure and AWS
                    You value good software design and sweat over details in code and API design.
                    You enjoy learning new technology and also educating others.
                    You take great personal pride in building robust and scalable software.
                    You strive to communicate clearly and with empathy.
                    You are highly accountable and have a strong sense of ownership.
                    Ability to do detailed code reviews and give thoughtful feedback.

                    +

                    Nice to have

                    +

                    Experience building a library or a framework.
                    Comfortable with statistics.
                    Knowledge of machine learning and deep learning.
                    Knowledge of distributed systems.

                    +

                    -

                    KNOWLEDGE AND SKILLS

                    +

                    Additional Information

                    +
                    #LI-Hybrid

                    -

                    Knowledge & Experience

                    +

                    Hours

                    +
                    37.5

                    -
                      -
                    • Typically, 1-3 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                    • -
                    • In-depth:
                        -
                      • Verbal & written communication skills
                      • -
                      • Collaboration & team skills
                      • -
                      • Analytical and problem-solving skills
                      • -
                      • Influencing skills
                      • -
                      • Data driven decision making skills
                      • -
                      • Knowledge of reporting & analytics concepts and applications
                      • -
                      -
                    • -
                    +

                    Inclusiveness

                    +
                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -
                    • Knowledge of the following is beneficial:
                        -
                      • Risk management metrics: KPIs and KRIs
                      • -
                      • Industry trends and regulatory requirements for risk reporting
                      • -
                      • Risk modeling
                      • -
                      • Loss forecasting
                      • +
                    ",,https://jobs.td.com/en-CA/jobs/17734671/sr-machine-learning-engineer-ml-engine-layer-6-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-13T17:29:06.137Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/213973192-sr-machine-learning-engineer-ml-engine-layer-6-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17734671/sr-machine-learning-engineer-ml-engine-layer-6-toronto-ca/,expired,2023-04-10T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +668ac7b4-213e-4576-a30c-83d942f98107,210219315,RBC,"Manager, Enterprise Partnerships Analytics",on_site,"Toronto, ON, Canada",2023-03-30T17:16:02.105Z,"
                    +

                    Come Work with Us!

                    At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                    Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                    +

                    Job Title

                    Manager, Enterprise Partnerships Analytics

                    +

                    +

                    Job Description

                    +

                    +

                    What is the opportunity?

                    +

                    In this role, you will drive the analytics agenda that support merchant partnerships and engagement in the Loyalty Portfolio Management & Analytics (LPM&A) organization. You will leverage extensive datasets across multiple data sources as well as advanced analytical tools to deliver meaningful analysis and insights that inform business decisions.

                    +

                    +

                    What will you do?

                    +
                      +
                    • Responsible for addressing the analytics needs of internal stakeholders and external partners including creating business cases and developing performance reporting and dashboarding.

                    • +
                    • Lead internal stakeholder consultation end-to-end from assessing data needs, extracting data, analysis, translating data into insights and developing actionable recommendations.

                    • +
                    • Collaborate with cross-functional teams such as Business Development, Relationship Management, Offers Execution to drive project outcomes.

                    • +
                    • Identify opportunities for data automation, templating and process improvements.

                    • +
                    • Project manage and prioritize requests independently, escalate where appropriate.

                    • +
                    • Work through and reduce ambiguity.

                    • +
                    • Demonstrate maturity in business judgment and decision making.

                    • +
                    +

                    +

                    +

                    What do you need to succeed?

                    +
                      +
                    • Proficiency in Excel and PowerPoint

                    • +
                    • Proficiency and hands-on experience with SQL, SAS, Tableau, ThinkCell

                    • +
                    • Results oriented with the ability to produce high quality output that meets project timelines

                    • +
                    • Translate data into actionable insights and recommendations

                    • +
                    • Strong communication and presentation skills, effectively explain complex analytics to a variety of audiences

                    • +
                    • Ability to work with large and complex data sets

                    • +
                    • High level of accuracy and attention to detail

                    • +
                    • Work in a fast pace and matrix organization with a focus on managing multiple priorities

                    • +
                    +

                    +

                    +

                    What’s in it for you?

                    +

                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                    +
                      +
                    • Ability to make a difference and lasting impact

                    • +
                    • Work in a dynamic, collaborative, progressive, and high-performing team

                    • +
                    • Opportunities to do challenging work

                    • +
                    +

                    +

                    +

                    +

                    Job Summary

                    +

                    Address:

                    TORONTO, Ontario, Canada

                    City:

                    CAN-ON-TORONTO

                    Country:

                    Canada

                    Work hours/week:

                    37.5

                    Employment Type:

                    Full time

                    Platform:

                    Personal and Commercial Banking

                    Job Type:

                    Regular

                    Pay Type:

                    Salaried

                    Posted Date:

                    2023-03-29

                    Application Deadline:

                    2023-04-12
                    +

                    Inclusion and Equal Opportunity Employment

                    +

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    +
                    +

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                    +
                    ",,https://jobs.rbc.com/ca/en/job/R-0000054265/Manager-Enterprise-Partnerships-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-04-13T17:21:07.033Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/210219315-manager-enterprise-partnerships-analytics-at-rbc,,expired,2023-03-30T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,No Degree,New Posting, +ffc39d6e-149c-4d40-b921-9348cf97bc8c,213687954,Scotiabank,"Senior Engineer, Analytics DevOps",on_site,Canada : Ontario : Toronto,2023-04-09T17:22:02.540Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 175354

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    Purpose:

                    +


                    As a Analytics DevOps Senior Engineer, your responsibility will be to write scripts to manage and automate MLOps and DevOps for analytics deployment of software releases. You will evaluate the latest MLOps solutions to optimize our MLOps platform.

                    +

                    +

                    Accountabilities:

                    +


                    • Design, create and deliver a range of MLOPs Build Automation and Deployment solutions on GCP.

                    +

                    • You will work as part of the team that manages and delivers Software solutions for analytics teams to deliver advanced analytics solutions.

                    +

                    • Automate and streamline our operations and processes. You`ll support building and maintaining tools for deployment, monitoring and operations.

                    +

                    • Design, automate, build and operate analytics enablement on GCP.

                    +

                    • Work with the existing Analytics team members to design and implement MLOps and data engineering solutions.

                    +

                    +


                    Requirements & Qualifications:

                    +

                    +

                    • Strong knowledge of Python required.
                    • Hands-on with Spark and pySpark.
                    • Passion to continual learn new and changing technologies.
                    • Strong self-leaning skills as we work with many new technologies.
                    • Highly proficient working with business stakeholders and project teams to deliver solutions.
                    • GCP experience a strong asset.
                    • Working knowledge of docker.
                    • Modern DevOps practices .
                    • Previous experience with Git and Gitflow.
                    • Comfortable presenting to large groups.

                    +

                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Senior-Engineer%2C-Analytics-DevOps-ON-M5H1H1/568444017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-13T17:27:03.462Z,False,0,2,3,https://talenthub.vectorinstitute.ai/jobs/213687954-senior-engineer-analytics-devops-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Engineer%2C-Analytics-DevOps-ON-M5H1H1/568444017/,expired,2023-04-09T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,No Degree,New Posting, +a87681b2-e514-4678-9d9a-eef6c6c94b50,213973183,TD Bank Group,Sr Business Insights Analyst,on_site,"Markham, ON",2023-04-10T17:24:01.777Z,"
                    +

                    Company Overview

                    +
                    +

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    +

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    +
                    +

                    +

                    Department Overview

                    +
                    +

                    What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                    +

                    We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                    +
                    +

                    +

                    Job Description

                    +
                    +

                    +

                    About this Role

                    +

                    As an expert in data and analytics, you will provide in depth expertise, analytical interpretation, key insights and action items to your multi-functional business partners across the organization. Those insights will be brought to bear to enable informed and enabled business decisions enterprise wide or help to solve the increasingly complex business problems they face.

                    +

                    In this role, TD will look to as a thought leadership as well as a leader in your space, coaching, mentoring, empowering and educating your peers to collaborate and bring TD into the future of banking.

                    +

                    +

                    As a Senior Business Insights Analyst, you will:

                    +
                      +
                    • Apply understanding of respective business strategies to produce relevant and substantial data analysis to support business goals and objectives
                    • +
                    • Develop analysis to illustrate business trends and identify areas of business opportunities
                    • +
                    • Produce insights and recommend business actions to align with strategy and/or solve business problems
                    • +
                    • Provide seasoned specialized knowledge, advice and/or mentorship to various business and working partners
                    • +
                    • Execute on data requests accurately and within a timely manner
                    • +
                    • Represent functional area as an analytics & insights professional and key resource; build positive and productive working partnerships
                    • +
                    • Act as a bridge to translate business requirements to analytics and reporting needs for a given domain
                    • +
                    • Provides day-to-day support and delivery of analytics
                    • +
                    • Work independently as the senior analyst/subject matter expert and may coach and educate others
                    • +
                    • Considered an authority within a given area
                    • +
                    • Oversee and/or independently perform tasks from end to end
                    - -

                    Skills

                    +

                    +

                    Requirements

                    +
                    +What can you bring to TD?

                    +

                    Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                      -
                    • Strong financial, quantitative, and analytic skills to make data driven decisions
                    • -
                    • In depth expertise with key technologies including SAS, SQL, Power BI, Python, Microsoft Products
                    • -
                    • Proven ability to apply expertise and creativity to solve complex problems and manage ambiguity
                    • -
                    • Excellent communication skills (oral and written)
                    • -
                    • Team-oriented, collaborative and flexible
                    • -
                    • Strong time management and project management skills
                    • +
                    • Undergraduate degree or technical certificate
                    • +
                    • Five (5) or more years relevant experience
                    +
                    +

                    +

                    Additional Information

                    +
                    #tdcybersecurity #LI-Post
                    +

                    +

                    Hours

                    +
                    37.5
                    +

                    +

                    Inclusiveness

                    +

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    +

                    +
                    ",,https://jobs.td.com/en-CA/jobs/17997065/sr-business-insights-analyst-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-13T17:29:06.137Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/213973183-sr-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17997065/sr-business-insights-analyst-markham-ca/,expired,2023-04-10T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +7a9b2b7d-38aa-49a0-9d40-a67cfd9e85f4,204322630,BMO Financial Group,First Nations/Métis/Inuit Candidates - Personal & Business Banking Development Program,on_site,"Ontario, Canada",2023-03-13T17:12:02.916Z,"
                    +

                    Address:

                    100 King Street West

                    +

                    Job Family Group:

                    Data Analytics & Reporting

                    -

                    We’re here to help

                    -

                    -

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    -

                    -

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    -

                    -

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    We invite all experienced and aspiring First Nations / Métis / Inuit professionals to apply to roles featured on BMO’s Indigenous Careers landing page, as well as all of those on BMO\'s Careers page.

                    +

                    +

                    Qualified First Nations / Métis / Inuit applicants applying through these postings will be considered for open job vacancies, where they exist, or added to our Indigenous Talent Network and matched to other upcoming opportunities.

                    +

                    +

                    This is part of BMO’s ongoing commitment to Indigenous applicants. Our recruitment team will reach out to those selected for further consideration.

                    -

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    -

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    -
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Analyst--Business-Banking-Credit-Risk-Analytics--Hybrid-_R230009312?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-06-22T19:46:23.246Z,False,0,5,20,https://talenthub.vectorinstitute.ai/jobs/228135288-senior-analyst-business-banking-credit-risk-analytics-hybrid-at-bmo-financial-group,,expired,2023-05-22T15:39:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -d88859c6-a02b-4781-8ff5-0dcd3320f37b,237205969,Scotiabank,"Senior Associate, Research Analytics & Institutional Client Strategy",on_site,Canada : Ontario : Toronto,2023-06-17T15:52:03.836Z,"

                    +

                    Are you analytically inclined, digitally-savvy and motivated by the opportunity to innovate and deliver cutting edge products & solutions in Canada?

                    +

                    At BMO, we’re looking to change the way Canadians bank and you’ll get to drive that change – helping customers make real financial progress across the country. At the heart of this change in Canadian banking is product innovation, data & analytics, and superior risk management – as such, we’re excited to offer a 2-year rotational program designed to accelerate knowledge and personal development by building solid and in-depth understanding of how our Product, Data & Analytics, Risk and Collections business segments operate and interact to deliver results.  

                    +

                    +

                    Product Management: visualize, develop and improve products and services that form our customer offerings and overall experience; help BMO customers make real financial progress by offering differentiated product strategies, value propositions and marketing offers.

                    +

                    Risk Management: Shape BMO’s Risk Appetite and develop lending strategies and controls to optimize returns within that Risk appetite

                    +

                    Data & Analytics: Use Data & Analytics to drive insights and decision-making in partnership with the business and in pursuit of our collective strategic priorities

                    -

                    Requisition ID: 174805

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    Collections: Enable and transform customer experience through usage of data and analytics and modeling techniques. Enhance strategic services provided to customers through end-to-end operations functions.

                    +

                    +

                    Our capabilities and culture have been featured in Forrester, Forbes and at MIT – Product, Risk and Data & Analytics are regular topics at the BMO CEO’s leadership table.

                    -

                    About the Team:
                    At Scotiabank, research is a key driver of our Global Equity platform. We specialize in the Canadian market, and we also supply targeted international research covering the United States and Latin America. Our top-ranked teams generate value-added equity ideas and themed publications. As well, we are constantly looking for ways to bring new products to market and provide clients with valuable research ideas and insights. Our products include daily company-specific investment views, monthly and quarterly sector updates, in-depth fundamental research reports, portfolio analysis and recommendations, and equity strategy commentary.

                    -

                    Position Highlights:
                    The Research Client Services Team (RCST) is responsible for supporting the Equity Research department by providing valuable internal analytical insights to management and research analysts for strategic decision-making and ensuring adherence to compliance requirements of the MiFID II regulation. As a member of the RCST, this position will assist in maintaining and developing the internal analytics capabilities of the team. This position will also assist with the administration of client research agreements and work closely with research analysts, senior management, and compliance teams as part of the overall MiFID II compliance framework.

                    -

                    Is this role right for you?

                    -
                    • Produce periodical analytical summary reports for the Research Management team
                    • Create analysis and reporting tools on an ad hoc basis to support internal data and analytical requests
                    • Create and maintain dashboards and reports that can be leveraged by users to find insights
                    • Analyze client accounts to identify outreach opportunities and gauge account profitability
                    • Work with Research Analysts to improve the format and delivery of their product
                    • Understand business processes to analyze, interpret, and advise staff on analytical findings
                    • Collaborate with stakeholders to ensure effective use of reporting and analysis, and provide support, if needed
                    • Understand and incorporate technology best practices with a primary focus on .NET and SQL
                    • Liaise with other internal analytics teams to ensure data accuracy and consistency across the firm
                    • Diligently perform quality assurance and assess operational and reputation risk
                    • Monitor and analyze buyside client consumption of the research product
                    • Respond to internal and external inquiries on the research product and agreements
                    • Issue invoices for research clients and track payments with internal Finance teams
                    • -
                    -

                    Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

                    -
                    • Technical mindset with an undergraduate degree in Computer Science or Engineering is required
                    • Excellent command of Microsoft Office, with an emphasis on Excel is required
                    • Proven experience in SQL and .NET is required
                    • Working knowledge of Angular and Python would be an asset
                    • Strong problem-solving and analytical skills
                    • Excellent written and verbal communication skills
                    • Attention to detail and time management skills
                    • Ability to produce meaningful results from data
                    • Proven experience consolidating and analyzing different data sources
                    • Ability to work collaboratively within a cross functional team environment
                    • Ability to succeed in a dynamic and fast-paced environment
                    • -
                    +

                    The successful candidates in the “Personal and Business Banking Development Program” will be part of a 2-year cohort, working alongside banking product, analytics, and risk leaders to accelerate their knowledge, understanding and skills in how BMO’s largest business segment - Personal and Business Banking (P&BB) operates and interacts.

                    +

                    +

                    Key Accountabilities:

                    +

                    Support development and implementation of product strategies to drive sales of existing banking products, launch new products to market, optimize profitability and improve the customer experience.

                    +

                    Support management of product risks to ensure compliance with legal, regulatory, and risk compliance, and reporting.

                    -

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Senior-Associate%2C-Research-Analytics-&-Institutional-Client-Strategy/568224817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-26T23:31:00.000Z,False,0,5,18,https://talenthub.vectorinstitute.ai/jobs/237205969-senior-associate-research-analytics-institutional-client-strategy-at-scotiabank,https://jobs.scotiabank.com/job/Senior-Associate%2C-Research-Analytics-&-Institutional-Client-Strategy/568224817/,expired,2023-06-17T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +

                    Leverage strong analytical, problem-solving and communication skills to contribute value and grow a network across multiple roles and functions in Canadian Personal & Business Banking, including the Data & Analytics Centre of Excellence, Product Management, Risk Management and Collections.

                    +

                    +

                    Help plan and deploy data & analytics solutions to improve issue understanding, generate insights and enable high-quality, fact-based decisions that drive better business outcomes. 

                    +

                    +

                    Support the development and execution of various data & analytics-related strategies and roadmaps, including data quality and data analytics, reporting, business intelligence, modeling and the design and development of decision support tools.

                    +

                    +

                    Job Requirements:

                    +

                    +

                    · Builds effective relationships with internal/external stakeholders.

                    +

                    · Leads/participates in the design, implementation, and management of new analytics & reporting solutions.

                    +

                    · Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.

                    +

                    · Collaborates with internal and external stakeholders to deliver on business objectives.

                    +

                    · Analyzes data and information to provide subject-matter insights and recommendations.

                    +

                    · Recommends and implements solutions based on analysis of issues and implications for the business.

                    +

                    · Designs, develops, and implements innovative analytical solutions.

                    +

                    · Designs and produces regular and ad-hoc reports, and dashboards.

                    +

                    · Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.

                    +

                    · Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).

                    +

                    · Monitors and tracks tool performance, user acceptance testing, and addresses any issues.

                    +

                    · Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.

                    +

                    · Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.

                    +

                    · Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.

                    +

                    · Documents and maintain operational procedures and processes relating to analytical and reporting processes.

                    +

                    · Builds effective relationships with internal/external stakeholders.

                    +

                    · Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.

                    +

                    · Exercises judgment to identify, diagnose, and solve problems within given rules.

                    +

                    · Works independently on a range of complex tasks, which may include unique situations.

                    +

                    · Continuously improves processes to identify issues and deliver optimal customer experience.

                    +

                    · Works with partners to develop salesforce training and materials and manages change.

                    +

                    · Identifies existing and potential risks and develops risk management controls and processes

                    +

                    · May support the sales team in development of client deals and related presentations.

                    +

                    · Develops and maintains relationships with external partners and vendors.

                    +

                    · Broader work or accountabilities may be assigned as needed.

                    +

                    +

                    Qualifications:

                    +

                    · Graduate or Undergraduate degree in Business/Commerce, Data & Analytics, Risk Management, Economics, Engineering, Finance and/or Mathematics

                    +

                    · Work experience – including Coop and/or Internship placements – Highly Recommended

                    +

                    · Technical proficiency gained through business and work experience – Highly Recommended

                    +

                    · Knowledge and experience in data preparation and data analysis – Strong

                    +

                    · Familiar with one or more industry leading data and analytics tool sets including, but not limited to MS Power BI, TIBCO BPM, Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS – Good.

                    +

                    · Building business cases – Good

                    +

                    · Researching market trends – Good

                    +

                    · Verbal & written communication skills – In-depth.

                    +

                    · Collaboration & team skills – In-depth.

                    +

                    · Analytical and problem-solving skills, data driven decision making – In-depth.

                    +

                    · Influence skills - In-depth.

                    +

                    +

                    +

                    We’re here to help

                    +

                    +

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    +

                    +

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    +

                    +

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    +

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    +

                    +

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/First-Nations-Mtis-Inuit-Candidates---Personal---Business-Banking-Development-Program_R230000209?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-04-12T18:48:03.599Z,False,0,4,14,https://talenthub.vectorinstitute.ai/jobs/204322630-first-nations-metis-inuit-candidates-personal-business-banking-development-program-at-bmo-financial-group,,expired,2023-03-13T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, +d4cbfaf0-ab66-42cc-a012-51dc1b775fcd,205318488,Scotiabank,Database / EDW Application Administrator - Tangerine,on_site,Canada : Ontario : Toronto,2023-03-16T17:22:02.848Z,"

                    +

                    +

                    Requisition ID: 173727

                    +

                    Tangerine is Canada’s leading direct bank. We offer flexible and accessible banking options, innovative products, and award-winning Client service. The reason why Tangerine employees come to work each day is to help Canadians live better lives. We focus on making a difference in our communities, and that includes our own internal community. It’s important to us that our employees feel empowered and enthusiastic about belonging to our Orange culture.

                    +

                    +

                    As Canada’s leading digital bank, Tangerine technology is at the heart of everything we do. We have redefined what digital banking is, and we continue to evolve to tackle any opportunity and face every challenge through progressive technology and the power of collaboration.

                    +

                    Do you like new challenges? Are you ready to reach new heights in your career and become part of an established disruptor? If so, come join us and help redefine the Canadian banking landscape!

                    +

                    +

                    The Database / EDW Application Administrator is responsible for the administration, maintenance, upgrade, and data integrity of all development and test databases and all EDW (including APS, GCP – Bigquery, SAS, and Informatica ) Applications, Design and document database architecture, Data Modeling, coordinating assigned internal and external team projects, supporting other team members in all phases of the development life cycle. The Database / EDW Application Administrator reports directly to the Team Lead Tangerine Analytics Platform.

                    +

                    +

                    WHAT YOU WILL BE DOING:

                    +
                    • Administrate all Banking system development databases and maintain all aspects of the Tangerine Analytics Platform, including but not limited to: EDW (APS / Big Query), Informatica, SharePoint, SAS, Unica Campaign Suite, and Tangerine Machine Learning.
                    • Participate in and support analysis, design, testing, implementation, and maintenance of enhancements to Tangerine Analytics Platform applications.
                    • Implement corporate policy, develop, publish, enforce, and maintain standards and procedures
                    • Manage the Informatica environment and the granting of access to data; perform administrative functions
                    • Participate in EDW scope discussions and comment on the feasibility
                    • Maintain EDW data model and metadata
                    • Identify and document data access and usage requirements with access frequencies
                    • Design and produce ETL coding specifications
                    • Code, test, and document ETL processes
                    • Plan, test, and implement software upgrades; monitor alerts; administer licenses; interface with vendor
                    • Troubleshoot problems; provide Informatica/SAS problem resolution assistance to IT staff
                    • Provide day-to-day consultancy and support to IT staff; act as backup for other Database Systems staff
                    • Investigate, identify, and document source system data for extraction; design and implement confirmation processes for data loads
                    • Monitor daily operation relative to SLA; log issues and ensure resolution
                    • Ensure 24x7 availability of Tangerine Analytics Platform applications
                    • +
                    +

                    +

                    DO YOU HAVE THE SKILLS THAT WILL ENABLE YOU TO SUCCEED IN THIS ROLE? - WE'D LOVE TO WORK WITH YOU IF YOU HAVE:

                    +
                    • 5+ years of IT experience
                    • 2+ years of experience in a database, data warehouse, or enterprise application administration role
                    • Banking industry experience is preferable
                    • +
                    +

                    +

                    WHAT'S IN IT FOR YOU:

                    +
                    • You will be part of a diverse and inclusive team of Client-focused go-getters looking to learn from each other in an environment that celebrates and recognizes success!
                    • You will have access to thousands of online and in person courses so you can shape your career growth with the support from diverse industry leaders.
                    • You will get our help to save for your future and to invest in your total wellbeing through our Tangerine benefits*.
                    • You belong here, we are equal and un-complicated. Bring your true self to work, dress codes don’t apply here.
                    • You will enjoy workspace flexibility and all the excitement that comes from working at the official Bank of the Toronto Raptors.
                    • +
                    +

                    *Tangerine employees participate in Scotiabank’s pension & benefits programs (available to permanent employees)

                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    +

                    At Tangerine we value the unique skills and experiences each individual brings to the team, and are committed to creating and maintaining an inclusive and accessible environment. If you require accommodation during the recruitment and selection process, please let our Recruitment team know.

                    ",,https://jobs.scotiabank.com/Tangerine/job/Toronto-Database-EDW-Application-Administrator-Tangerine-ON-M2H0A1/568568317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-16T15:08:49.834Z,False,0,0,14,https://talenthub.vectorinstitute.ai/jobs/205318488-database-edw-application-administrator-tangerine-at-scotiabank,https://jobs.scotiabank.com/Tangerine/job/Toronto-Database-EDW-Application-Administrator-Tangerine-ON-M2H0A1/568568317/,expired,2023-03-16T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, 43614862-1f2e-4b3c-a75a-c9477b88ee26,156497910,Avidbots,Senior Machine Learning Engineer,on_site,"Ontario, Canada",2022-10-13T17:28:24.443Z,"

                    Now is the time to become an Avidbotter!


                    About Avidbots

                    Avidbots is a leading-edge robotics company with the vision to bring robotic solutions into everyday life to increase organizational productivity and to do that better than any other company in the world. Our ground-breaking product, the Neo 2 autonomous floor scrubbing robot, is deployed around the world and trusted by leading facilities and building service companies. Because of our continued successes, we are in major growth mode to add to our award-winning employee culture. Headquartered in Kitchener, ON, Canada, Avidbots offers comprehensive service and support to customers in 5 continents.

                    About the Opportunity

                    We are looking for a Senior Machine Learning Engineer to join our Autonomy team. The Autonomy team at Avidbots is responsible for developing production quality software that enables our robots to navigate autonomously in its environment. If you are excited about the world of autonomous robotics and have experience building industrial scale infrastructure for machine learning software, this is a unique opportunity to join a growing team in an emerging product category.

                    In this role, you will work closely with an experienced engineering team in bringing pioneering machine learning solutions to market for robot perception and navigation applications. You will have direct influence on the design of our end-to-end machine learning infrastructure and data pipelines. The ideal candidate is a self-starter with a proven track record in developing machine learning software in production.

                    @@ -114914,6 +122315,348 @@ ecd6e9d5-a132-478a-a5b7-03ea5e09f840,179960347,TD Bank Group,CTO Product Control

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    ",,https://jobs.td.com/en-CA/jobs/17498108/cto-product-control-analyst-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-16T21:47:00.000Z,False,0,2,5,https://talenthub.vectorinstitute.ai/jobs/179960347-cto-product-control-analyst-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17498108/cto-product-control-analyst-intern-co-op-toronto-ca/,expired,2022-12-22T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +2321786f-9024-47a0-ab6a-9476b61d1f97,187138112,Sun Life Financial,Senior Data Scientist,on_site,"Ontario, Canada",2023-01-15T17:41:03.103Z,"
                    +

                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                    +

                    +

                    +

                    Job Description:

                    +

                    +

                    Role Summary

                    +

                    +

                    Within Sun Life, the Analytics & Insights teams are comprised of savvy and intellectually curious professionals who are on a mission to transform how we apply data and analytics to support Sun Life becoming client-centric. An integral part of the Analytics & Insights organization, the Data Science team supports Canadian business units in their journey to leverage data and analytics as a foundational pillar in delivering business value

                    +

                    +

                    Reporting to the Director, Data Science, as a Senior Data Scientist you will focus on supporting Canadian business units in accelerating the growth and application of analytics in driving value. The senior data scientist will leverage practical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases.

                    +

                    +

                    Sun Life views success in this role in demonstration of these key attributes:

                    +

                    Fierce curiosity. You are drawn to discovering and leveraging new data and taking on challenging business puzzles. An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing. A passion for solving problems. The most successful data scientists’ solution for what the right data to use, they solve using the most suitable (not most advanced) algorithms for the problem at hand and figure out how to execute and deliver with highest efficiency. Technical skills in both data and computer science. There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured data (SQL) Thirst for learning. You are a data scientist who is constantly updating their knowledge of data science state-of-the-art.

                    +

                    +

                    What will you do?

                    +
                      +
                    • Be able to engage with business stakeholders to understand business outcomes. Comfortable to translate business goals into analytical problems.

                    • +
                    • Be able to work in cross functional teams to develop an ML/data science product

                    • +
                    • Be able to break down broader data science development milestones into smaller goals, activities, and a work plan

                    • +
                    • Apply best in breed data science including descriptive, predictive and machine learning techniques from the design to implementation that impacts the business.

                    • +
                    • Focus on Feature Engineering, Model Training and Model Evaluation in addition to data munging / wrangling

                    • +
                    • Identify the right algorithms and statistical techniques for a specific project as well as the best features for a model. Advise junior members on the same.

                    • +
                    +
                      +
                    • Make business recommendations with effective presentations of findings at multiple levels of stakeholders

                    • +
                    • An active contributing member to the analytics community to help foster and grow the data science community at Sun Life

                    • +
                    • Champion and support diversity and inclusion

                    • +
                    +

                    +

                    What will you need to succeed?

                    +
                      +
                    • BSc/M.S. in a statistical, mathematical, or technical field (i.e., computer science) or equivalent experience

                    • +
                    • 3+ years experience in developing and implementing data science techniques (predictive, prescriptive, ML etc.)

                    • +
                    • Comfortable writing complex SQL queries to extract and integrate data from multiple database sources

                    • +
                    • Proficient in using one or more statistical programming languages (i.e., Python) for data science

                    • +
                    • Experience with AWS services including SageMaker

                    • +
                    • Experience with machine learning including supervised and unsupervised models

                    • +
                    • Demonstrated experience in data transformation & data manipulation

                    • +
                    • Experience working with Structured vs. Unstructured data

                    • +
                    • Experience with Big Data Technologies: Hadoop, HDFS, Hive, HBase, Spark is strongly desirable

                    • +
                    • Effective and concise oral and written storytelling and insights communication skills

                    • +
                    • Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities

                    • +
                    • Ability to document work and effectively prioritize documentation

                    • +
                    • Ability to work with junior data scientists, data engineers, ML engineers and guide their work if needed

                    • +
                    +

                    +

                    What will be nice to have?

                    +
                      +
                    • Past experience in life insurance/wealth management, or other financial services industry (e.g., retail banking, credit card, property and casualty insurance)

                    • +
                    • Past experience working in Agile delivery model

                    • +
                    • Past experience in developing and deploying production grade model in cloud infrastructure

                    • +
                    +

                    +

                    Unique Requirements

                    +

                    +

                    The candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the information on Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                    +

                    +

                    What\'s in it for you?

                    +

                    +
                      +
                    • Remote/ Hybrid Work environment

                    • +
                    • Competitive salary and bonus structure influenced by market range data

                    • +
                    • 20 days vacation per year and an innovative sabbatical program

                    • +
                    • A friendly, collaborative and inclusive culture

                    • +
                    • Being part of our Analytics community, where we share best practices and broaden skill-sets

                    • +
                    • Flexible Benefits from the day you join to meet the needs of you and your family

                    • +
                    • Pension, stock and savings programs to help build and enhance your future financial security

                    • +
                    • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                    • +
                    +

                    +

                    The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                    +

                    +

                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                    +

                    +

                    Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                    +

                    +

                    At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                    +

                    +

                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                    +

                    +

                    Salary Range:

                    80,000/80 000 - 130,400/130 400

                    +

                    Job Category:

                    Advanced Analytics

                    +

                    Posting End Date:

                    15/01/2023
                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Scientist_JR00073206-2?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-01-18T17:46:03.935Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/187138112-senior-data-scientist-at-sun-life-financial,,expired,2023-01-15T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +31a26e95-2300-4dc7-a402-833e9dfd1e5d,179960293,Scotiabank,Global Banking and Markets - GAFE Financial Engineering Internship/Co-Op - Summer 2023,on_site,Canada : Ontario : Toronto,2022-12-22T17:22:03.715Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 169956

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    Term: May - August 2023

                    +

                    Application Deadline: 01/23/2023

                    +

                    +

                    There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                    +

                    +

                    As part of the Global Capital Markets group, Global Analytics and Financial Engineering works closely with the trading and marketing groups to provide analytics, to help develop new product capability and are also involved with developing new business lines. The work is often structured as projects, and usually the projects are analytic, technological or process-related in nature. The Co-op Analyst is required to focus on one or two specific product areas but can also be required to work on other business line initiatives as the priority changes in our dynamic trading environment.

                    +

                    +

                    Financial Engineering is a friendly and supportive group working within an exciting environment. You will gain valuable knowledge of financial markets and instruments, while making substantial contributions to a large-scale trading operation. Previous co-op students have moved on to various positions within the organization following graduation There are opportunities within GAFE for students to work with the Interest Rate Derivatives, Credit Derivatives, Equity Derivatives and Commodity Derivatives business lines.

                    +

                    +

                    Students hired for the semester will have access to numerous learning opportunities: a lecture series on the different business lines and how they work, access to the Global Banking and Markets Wiki where all models are documented, opportunities to talk to traders, marketers and analysts to learn from their experiences.

                    +

                    +

                    +

                    Is this role right for you? In this role, you will:

                    +
                    • Assist the development and testing of cutting-edge derivatives pricing models
                    • Build quantitative tools for trading and structuring desks
                    • Build and maintain infrastructure processes for new business lines
                    • Ad hoc investigations for trading and marketing desks
                    • Conduct Mark-to-Market impact and sensitivity analysis for different models
                    • Provide support to the trading and sales desks
                    • +
                    +

                    +

                    Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                    +
                    • You are currently enrolled in post-secondary education.
                    • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                    • You enjoy being involved in extracurricular activities such as conferences, clubs, competitions, and/or hackathons.
                    • Solid C++ programming skills, knowledge of Java, Python, Shell scripts, or Excel a plus
                    • Good math skills, knowledge of numerical methods and derivatives products a plus
                    • Strong analytic and problem-solving skills
                    • Strong interpersonal skills, results oriented and a team player
                    • Ability to work well in a fast-paced environment with changing priorities
                    • Students should be currently enrolled in a Software Engineering, Computer Science, Engineering, Mathematics, Statistics, Business/Finance, Actuarial Science or other quantitative disciplines.
                    • Will be returning to school after the internship has concluded
                    • +
                    +

                    +

                    What’s in it for you?

                    +
                    • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                    • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                    • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                    • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                    • +
                    +

                    +

                    This internship will offer you an excellent opportunity for learning and personal development, especially to those who wish to gain exposure to global capital markets their related technologies. Throughout your term you’ll also have access to skill-building modules, as well as challenging work-integrated learnings - all of which come together to create a stimulating environment where you will have the chance to thrive. We want you to be a sponge and take it all in, bring your great attitude, always be authentic, and own every opportunity that comes your way. This is your time to shine.

                    +

                    +

                    How do I apply?

                    +

                    For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                    +

                    +
                    1. +Complete your PLUM Profile here and save as a screenshot. +
                    2. +Complete a short one-way video interview here.
                    3. +Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile. +
                    4. +
                    +

                    +

                    *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                    +

                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Global-Banking-and-Markets-GAFE-Financial-Engineering-InternshipCo-Op-Summer-2023-ON/566181317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-18T17:27:06.322Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/179960293-global-banking-and-markets-gafe-financial-engineering-internship-co-op-summer-2023-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Global-Banking-and-Markets-GAFE-Financial-Engineering-InternshipCo-Op-Summer-2023-ON/566181317/,expired,2022-12-22T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +dcdcf545-8fc5-444d-89c0-834504258dcb,188133660,Scotiabank,Velocity - Finance Internship/Co-op - Summer 2023,on_site,Canada : Ontario : Toronto,2023-01-18T17:22:05.199Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 169646

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    Term: May-August 2023

                    +

                    Application Deadline: 01/23/2023

                    +

                    +

                    There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                    +

                    +

                    The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

                    +

                    +

                    Is this role right for you? In this role, you will:

                    +
                    • Update/validate formulas in planning and reporting.
                    • Populate reporting templates with actual results and ensure completeness.
                    • Data analysis projects related to various business initiatives.
                    • Assist in the preparation of summary information packages to communicate to leadership.
                    • Work on the ongoing tracking/reporting of financial metrics.
                    • +
                    +

                    +

                    Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                    +
                    • You are currently enrolled in post-secondary education.
                    • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                    • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions.
                    • You are a highly self-motivated individual with strong time-management skills.
                    • You have an analytical mindset and investigative abilities.
                    • You have strong written and verbal communication skills.
                    • You are proficient in Microsoft Office – particularly Excel, Word, and PowerPoint.
                    • You understand PowerBI, SAS, SQL or Tableau.
                    • +
                    +

                    +

                    What’s in it for you?

                    +
                    • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                    • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                    • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                    • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                    • +
                    +

                    +

                    How do I apply?

                    +

                    For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationshipsover resumes and are focused on learning about who you are and what youre interested in to uncover your true potential.Instead,we ask that as part of your application you complete the below:

                    +

                    +
                    1. Complete your PLUM Profile here and save as a screenshot.
                    2. +
                    +
                    1. Complete a short one-way video interview here.
                    2. +
                    +
                    1. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
                    2. +
                    +

                    +

                    *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                    +

                    +

                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Finance-InternshipCo-op-Summer-2023-ON/566048317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-20T17:27:05.530Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/188133660-velocity-finance-internship-co-op-summer-2023-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Finance-InternshipCo-op-Summer-2023-ON/566048317/,expired,2023-01-18T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +c2d41864-cb05-4799-b3cf-a18730f78909,188133679,Scotiabank,Wealth Management - Data Analytics Internship/Co-Op - Summer 2023,on_site,Canada : Ontario : Toronto,2023-01-18T17:22:06.282Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 169146

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    Term: May-August 2023

                    +

                    Application Deadline: 01/27/2023

                    +

                    +

                    There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                    +

                    +

                    Is this role right for you? In this role, you will:

                    +
                    • Be involved in the definition of business requirements and processes, ensuring that progress can be measured against planned objectives by working with different teams, and internal partners; performing analysis and completing reports to measure project success and impact to business
                    • Prepare reports and dashboards to inform strategic decision-making including trending analysis, projections and forecasts utilizing statistical modelling
                    • Investigate and become an expert in available data sources of data, transform and determine how they can be interpreted for analysis
                    • Flex your analytical skills by identifying and analyzing business and technical requirements to create diagrams, flow charts, and documentation
                    • Make impact by constantly identifying and implementing process improvements
                    • Experiment & learn!
                    • +
                    +

                    +

                    Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                    +
                    • You are currently enrolled in post-secondary education.
                    • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                    • You enjoy being involved in extracurricular activities such as conferences, clubs,
                    • You have strong written/verbal communication and project management skills.
                    • +You have knowledge/experience in:
                      • Managing process and planning, facilitating teamwork, and coordinating the execution of multiple deliverables.
                      • Interpreting and consolidating large amounts of information in actionable recommendations.
                      • Using sound judgment in the creation of analysis, validation, interpretation, and presentation of findings.
                      • Cleaning, transforming and visualizing large data sets working with various data formats (e.g., Enterprise Data Warehouse, Unstructured logs, XML, JSON, flat files, SAS, CSV)
                      • Visualization tools like PowerBI, Tableau or Qlikview
                      • Data Analysis/manipulation tools for working with data (e.g., SQL, DB2, MySQL, Python, R)
                      • Making sense of data, creating reports, and communicating KPI’s
                    • +
                    +

                    +

                    What’s in it for you?

                    +
                    • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                    • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                    • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                    • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                    • +
                    +

                    +

                    How do I apply?

                    +

                    For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead,we ask that as part of your application you complete the below:

                    +
                    1. Complete your PLUM Profile here and save as a screenshot.
                    2. Complete a short one-way video interview here.
                    3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
                    4. +
                    +

                    +

                    *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all three steps above.

                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Data-Analytics-InternshipCo-Op-Summer-2023-ON/566026717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-20T17:27:05.530Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/188133679-wealth-management-data-analytics-internship-co-op-summer-2023-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Wealth-Management-Data-Analytics-InternshipCo-Op-Summer-2023-ON/566026717/,expired,2023-01-18T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +24ddbeec-7e17-4c5a-8d4f-713bab539b27,188134081,TD Bank Group,Business Intelligence Specialist,on_site,"Toronto, ON",2023-01-18T17:24:04.742Z,"
                    +

                    Company Overview

                    +
                    +

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    +

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    +
                    +

                    +

                    Department Overview

                    +
                    +

                    TD Information & Cyber Security covers the development and management of security strategies, policies and programs to assess, prioritize and mitigate business risk with technology controls. Priorities include: mitigating and managing cyber security threats, ensuring systems availability, aligning with global regulatory risk and compliance requirements, managing systems and network complexity and partnering with businesses for better technology delivery by providing advice on technology controls.

                    +

                    Enterprise Protect & OCISO, BISCG department is responsible for providing policies and governance for managing risk across the organization through a set of technology-based standards and controls. The Technology Risk Services Risk Reporting teams are responsible for delivery of risk metrics and reports for the Enterprise and business segments to ensure visibility into current and emerging risks enabling investment decisions and prioritization of risk reduction efforts.

                    +
                    +

                    +

                    Job Description

                    +
                    +

                    About This Role

                    +

                    Reporting to the Chief Product Owner for the Enterprise Protect Risk Factory, the candidate will be a member of a high performing team of Technology and Risk professionals utilizing personal experience and Business Intelligence expertise to deliver best in class metrics and reports. Responsibilities include:

                    +
                      +
                    • Leading reporting enhancement workshops, leveraging Business Intelligence and Reporting expertise to ensure definition and design of high quality metrics and best in class reporting capabilities
                    • +
                    • Supporting change awareness activities, providing expertise on KRI design, developing materials and supporting ongoing data analysis requests.
                    • +
                    • Demonstrate expert knowledge of all data sources and data lineage for the reporting data mart(s) with a strong understanding of how these data sources are utilized for reporting purposes
                    • +
                    • Own and drive improvements to the Risk Reporting Factory processes with solutions that mitigate risk and maximize availability of service, efficiency and effectiveness
                    • +
                    • Serve as the business risk reporting team lead in ED&A’s data governance processes, identifying and escalating data issues, engaging data stewards and driving remediation at books of record.
                    • +
                    +
                    +

                    +

                    Requirements

                    +
                    +

                    Job Requirements

                    +
                      +
                    • University Degree
                    • +
                    • Strong written and verbal communication skills and comfortable communicating at all levels of the organization, strong presentation skills a must
                    • +
                    • Must be proficient with technology tools including MS Office, databases and reporting tools
                    • +
                    • Ability to manage multiple efforts simultaneously, strong project management, reporting, and organizational skills
                    • +
                    • Demonstrated ability to participate in complex, comprehensive or large projects and initiatives
                    • +
                    • Sound knowledge of one or more technology controls or security domains, disciplines and practices
                    • +
                    • Preferred knowledge of financial industry’s technology controls and security risk issues
                    • +
                    • Strength in prioritizing and managing your own workload to deliver quality results and meet timelines with limited guidance of management
                    • +
                    • 7+ years’ experience in the area of database technologies in a large organization (experience in a high transaction, large/complex/matrix business environment ideally within Financial Services an asset) including Technology and Cyber-security risk metrics and reporting
                    • +
                    • Business/technology experience with experience collaborating with others in highly matrix, cross-functional environment
                    • +
                    +
                    +

                    +

                    Additional Information

                    +
                    +

                    Join in on what others in TD Technology Solutions are doing:

                    +
                      +
                    • Inspire a positive work environment and help champion quality, innovation, teamwork and service to the business.
                    • +
                    • Learn voraciously, stretch your thinking,
                    • +
                    +

                    #tdcybersecurity

                    +
                    +

                    +

                    Hours

                    +
                    37.5
                    +

                    +

                    Inclusiveness

                    +

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    +

                    +
                    ",,https://jobs.td.com/en-CA/jobs/17470205/business-intelligence-specialist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-20T17:29:04.993Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/188134081-business-intelligence-specialist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17470205/business-intelligence-specialist-toronto-ca/,expired,2023-01-18T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +fd685485-ef03-4fa9-9ce5-d8a36091c909,178993403,KPMG,"Data Engineer (Intern/Co-op), Lighthouse Canada",on_site,"Toronto, Canada",2022-12-19T17:26:02.132Z,"

                    Overview

                    +

                    At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

                    +

                    +

                    Do work that matters, supported by a community that values difference and cares about you. Gain learning that’ll last you a lifetime and be recognized for the impact you make. With a focus on encouraging employees to come as they are, KPMG provides its employees with a variety of unique tools and support systems that ensure they thrive and make their mark in their career and in their communities.

                    +

                    +

                    Why KPMG Lighthouse?

                    +

                    +

                    KPMG Canada’s Center of Excellence for Data & Analytics + Intelligent Automation applies exponential thinking and emerging technologies to solve today’s challenges. Join a diverse team that is always curious and learning, thinking independently and working collaboratively, has a passion to solve difficult problems and has fun doing it.

                    +
                      +
                    • Our teams apply exponential thinking and emerging technologies to solve today’s challenges
                    • +
                    • We are comprised of a global network of over 12,500 experts including data scientists and engineers
                    • +
                    • Our teams build and deliver solutions that transform the business of our clients
                    • +
                    • Our regional hubs are in strategic markets and provide specialty services to local teams
                    • +
                    +

                    KPMG Lighthouse Canada has an exciting opportunity for Data Engineers (Intern/Co-op) to join our team for a 4-8 month term starting in May 2023.

                    +

                    +

                    ** Please note that you must be enrolled in a Canadian post-secondary educational institution to be eligible for this opportunity.

                    +


                    What you will do

                    +
                      +
                    • Work in teams or in an individual capacity to perform ETL/ELT (extract, transform and load) of data from a variety of databases, SQL, NoSQL, Hadoop, Neo4j, etc.
                    • +
                    • Strong experience with large-scale and or distributed processing methodologies such as Storm, Spark and many others.
                    • +
                    • Build data pipelines using cloud and traditional ETL tools.
                    • +
                    • Review data quality and definitions, and perform data cleansing and data management tasks.
                    • +
                    • Work with the engagement team to translate business and analytics requirements into a data strategy for the engagement including ETL, data model and staging data for analysis
                    • +
                    • Architect the data platform for scalability, repeatability and performance.
                    • +
                    • Develop standards for data processes and automate routine tasks and Data Governance around them.
                    • +
                    • Run SQL queries for descriptive analytics and provide formatted result sets.
                    • +
                    • Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions.
                    • +
                    • Support application testing and production implementation as required.
                    • +
                    • Bridge the gap between technical platform needs and business issues.
                    • +
                    • Design software architecture following best practices after understanding customer requirements in enterprise environments.
                    • +
                    +


                    What you bring to the role

                    +
                      +
                    • Strong experience working on ETL/ELT (extract, transform and load) of data from a variety of databases from SQL, NoSQL, Hadoop, Neo4j, MPP databases etc.
                    • +
                    • Independent ability to review the data quality and data definitions, and perform data cleansing and data management tasks
                    • +
                    • Experience working in a multi-disciplinary team to tack unstructured data processing problems across a diverse range of industries
                    • +
                    • Strong ability to use Python, Pandas and NumPy for data analysis and cleansing tasks
                    • +
                    • Experience with visualization tools such as Tableau, PowerBI, QlikView, etc.
                    • +
                    • Strong understanding of Data Warehousing and Data Modeling.
                    • +
                    • Experience or knowledge in one major cloud service: AWS, MS Azure and GCP.
                    • +
                    +

                    +

                    Keys to your success:

                    +
                      +
                    • Ability to explain data and analytics concepts to non-technical team members.
                    • +
                    • Ability to apply data and analytics concepts to business problems.
                    • +
                    • Ability to understand and explain the business value of data and analytics concepts.
                    • +
                    • Knowledge of basic machine learning to collaborate with the team on ML projects
                    • +
                    • Experience in visual exploration to perform data discovery and highlight insights
                    • +
                    • Knowledge of how specific visual components drive usability and understanding
                    • +
                    • A knack for telling a story with a purpose. Strong facilitation and collaboration abilities to conduct discussions and workshops with engineers and business analysts to advocate for positive user experience and recommend potential solutions to identified problems
                    • +
                    +

                    To apply:

                    +

                    +

                    Please apply directly to KPMG at kpmg.ca/careers

                    +

                    +

                    Applications close on January 17th, 2023 at 11:59 PM ET.

                    +

                    +

                    Our online application system will allow you to include up to five documents without losing your formatting. Applications can be addressed to Hiring Manager and must include a cover letter, resume and an electronic copy of your most recent transcript. If you do not have access to an electronic copy of your transcript, we ask that you attach a screenshot of your grades from your school’s website. In the application questionnaire, you’ll be able to indicate your preference for position type and office location. For an easy application process, please PDF all documents into one PDF file.

                    +


                    If you experience any difficulties, please contact ca-fmadvisoryrecruitment@kpmg.ca.

                    +

                    +

                    KPMG individuals Deliver Impact | Seek Growth | Inspire Trust and understand that a diverse workforce enables us to deepen relationships and strengthen our business.

                    +

                    +

                    Providing you with the support you need to be at your best

                    +

                    +

                    +

                    +

                    For more information about KPMG in Canada’s Benefits and well-being, click here.

                    +


                    Our Values, The KPMG Way

                    +

                    Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                    +

                    +

                    KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                    +

                    +

                    For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

                    +

                    +

                    If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact us at cafmcdnhrsthotline@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778.

                    +

                    +

                    ",,https://careers.kpmg.ca/students/jobs/18647?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2023-01-19T21:12:00.000Z,False,0,5,46,https://talenthub.vectorinstitute.ai/jobs/178993403-data-engineer-intern-co-op-lighthouse-canada-at-kpmg,https://careers.kpmg.ca/students/jobs/18647?lang=en-us,expired,2022-12-19T17:26:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Internship/Co-op,Bachelors Degree,New Posting, e4945fa4-4fbf-432b-bf2e-ff1a9587a5e3,179647339,Magna International,Data Scientist,on_site,"AURORA, ONTARIO, CA, L4G 3M7",2022-12-21T17:39:03.659Z,"

                    Job Introduction

                    @@ -116808,6 +124551,150 @@ a46108f8-e1f1-4da1-8a6d-4145cda6a3db,209219022,Scotiabank,"Manager, Transaction

                    • Experience with statistical modeling and data science methods
                    • Experience programming in statistical languages such as R, SAS. Experience with databases such as Oracle or SQL Server
                    • AML/ATF experience or analytic knowledge

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Transaction-Monitoring%2C-AMLATF-Models-and-Analytics-ON-M5C2W1/568954017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-26T19:13:04.754Z,False,0,2,25,https://talenthub.vectorinstitute.ai/jobs/209219022-manager-transaction-monitoring-aml-atf-models-and-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Transaction-Monitoring%2C-AMLATF-Models-and-Analytics-ON-M5C2W1/568954017/,expired,2023-03-27T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,No Degree,New Posting, +88fd4206-0eaf-4510-98d5-c351db2dfeb6,218282646,Google,"Software Developer III, Google Cloud Application Modernization",on_site,"Toronto, ON, Canada",2023-04-24T17:20:02.805Z,"
                    +
                    +2023-04-17T09:30:26.380Z
                    +
                      +
                    • Share
                    • +
                      Save +
                    • +

                    Software Developer III, Google Cloud Application Modernization

                      +
                    • Google
                    • +
                    • In-office:
                      + Kitchener, ON, Canada +
                    • +
                    • + 1 more location
                    • +
                    +
                    +
                    +

                    Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kitchener, ON, Canada; Toronto, ON, Canada.

                    +
                    +

                    Qualifications

                    +

                    Minimum qualifications:

                    +
                      +
                    • Bachelor’s degree or equivalent practical experience.
                    • +
                    • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
                    • +
                    • 2 years of experience with data structures or algorithms.
                    • +
                    +

                    Preferred qualifications:

                    +
                      +
                    • Master\'s degree or PhD in Computer Science or related technical fields.
                    • +
                    • Experience developing accessible technologies.
                    • +
                    +
                    +
                    +
                    +

                    About the job

                    +

                    Google\'s software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We\'re looking for software developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

                    +

                    With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

                    +

                    Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

                    +
                    +
                    +
                    +

                    Responsibilities

                      +
                    • Write product or system development code.
                    • +
                    • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
                    • +
                    • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
                    • +
                    • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
                    • +
                    • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
                    • +
                    +
                    +

                    Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                    Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and Know your rights: workplace discrimination is illegal. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                    To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                    To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                    At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                    We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                    Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                    +
                    +
                    +
                    ",,"https://careers.google.com/jobs/results/110731995262132934-software-developer-iii-google-cloud-application-modernization/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-04-24T21:49:00.000Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/218282646-software-developer-iii-google-cloud-application-modernization-at-google,,expired,2023-04-24T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,New Posting, +165e12f7-09ec-46fd-a568-9796c663e957,208690161,BMO Financial Group,"Manager, Credit Risk Modelling & Analytics",on_site,"Ontario, Canada",2023-03-25T17:12:02.101Z,"
                    +

                    Address:

                    100 King Street West

                    +

                    +

                    Job Family Group:

                    Data Analytics & Reporting

                    +

                    +

                    +

                    +

                    Supports the research and development of quantitative risk modeling methodologies and related strategies in support of the management of risks arising from business/group portfolios and products. Applies knowledge of analytics algorithms and technologies to develop forward looking models and analytic solutions that ensure risks are properly identified, understood and risk related strategies are enabled. Summarizes statistical findings, draws business conclusions, and presents actionable business recommendations used in the management of risks and related activities e.g. associated internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations. Drives innovation through the development of data products that can be leveraged across the organization and establishes best practices as well influences data governance guidelines and policies. May specialize in one or more risk categories e.g. Credit Risk, Market Risk, Interest Rate Risk, etc.

                    +
                      +
                    • Acts as a trusted advisor to assigned business/group.
                    • +
                    • Influences and negotiates to achieve business objectives.
                    • +
                    • Recommends and implements solutions based on analysis of issues and implications for the business.
                    • +
                    • Assists in the development of strategic plans.
                    • +
                    • Identifies emerging issues and trends to inform decision-making.
                    • +
                    • Supports the execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • +
                    • Helps determine business priorities and best sequence for execution of business/group strategy.
                    • +
                    • Conducts independent analysis and assessment to resolve strategic issues.
                    • +
                    • Automates validation tests to improve quality and efficiency of the validation process.
                    • +
                    • Identifies emerging issues and trends to inform decision-making.
                    • +
                    • Builds effective relationships with internal/external stakeholders.
                    • +
                    • Ensures alignment between stakeholders.
                    • +
                    • Cleanses, manipulates, and transforms data through programming/scripting for model training and validation.
                    • +
                    • Conducts various pre-implementation and post-implementation analyses to estimate/measure business impact caused by model adoption (e.g., revenue increase, cost reduction, corporate brand image).
                    • +
                    • Provides input into the planning and implementation of operational programs.
                    • +
                    • Executes work to deliver timely, accurate, and efficient service.
                    • +
                    • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • +
                    • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                    • +
                    • Works with stakeholders to identify the business requirements, understand the distinct problems, and the expected outcome and models and frames business scenarios which impact critical business processes and/or decisions.
                    • +
                    • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
                    • +
                    • Applies scripting/programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                    • +
                    • Develops agreed analytical solution by applying suitable statistical techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, artificial intelligence) to test, verify, refine hypotheses.
                    • +
                    • Summarizes statistical findings and draws conclusions and presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                    • +
                    • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                    • +
                    • Performs experimental design approaches to validate finding or test hypotheses.
                    • +
                    • Uses the appropriate algorithms to discover patterns.
                    • +
                    • Builds effective relationships with internal/external stakeholders. Ensures alignment between stakeholders.
                    • +
                    • Supports development of tools and delivers training for data and analytics.
                    • +
                    • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • +
                    • Leads/participates in the design, implementation and management of core business/group processes.
                    • +
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                    • +
                    • Provides specialized consulting, analytical and technical support.
                    • +
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • +
                    • Works independently and regularly handles non-routine situations.
                    • +
                    • Broader work or accountabilities may be assigned as needed.

                      Qualifications:

                      +
                    • +
                    • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                    • +
                    • Data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS.
                    • +
                    • Relevant experience in risk, capital, and/or treasury management is preferred.
                    • +
                    • A professional designation in Finance or Risk management is preferred.
                    • +
                    • Post-secondary degree in Finance/Economics/Math required.
                    • +
                    • Professional designation in Finance or Risk management required.
                    • +
                    • Deep knowledge and technical proficiency gained through extensive education and business experience.
                    • +
                    • Verbal & written communication skills - In-depth.
                    • +
                    • Collaboration & team skills - In-depth.
                    • +
                    • Analytical and problem solving skills - In-depth.
                    • +
                    • Influence skills - In-depth.
                    • +
                    • Data driven decision making - In-depth.
                    • +
                    +

                    +

                    +

                    We’re here to help

                    +

                    +

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    +

                    +

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    +

                    +

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    +

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    +

                    +

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Modelling---Analytics_R220031603?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-04-26T18:01:50.858Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/208690161-manager-credit-risk-modelling-analytics-at-bmo-financial-group,,expired,2023-03-25T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +a46108f8-e1f1-4da1-8a6d-4145cda6a3db,209219022,Scotiabank,"Manager, Transaction Monitoring, AML/ATF Models and Analytics",on_site,Canada : Ontario : Toronto,2023-03-27T17:22:03.617Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 176111

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    Purpose

                    +

                    Contributes to the overall success of the FCRM's Models & Analytics team by ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures

                    +

                    +

                    Key Accountabilities

                    +

                    • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

                    +

                    • Develop and enhance statistical models in support of Scotiabank’s AML/ATF activity. Includes working on data acquisition, modeling, implementation and tuning strategies. Anticipated deliverables include models for Transaction Monitoring, transaction alert generation and alert prioritization. Will involve analyzing various alert metrics (eg, productive vs non-productive alerts, alerts per transaction) and optimizing solution configurations and parameters.

                    +

                    • Design, develop and evaluate statistical models in cases where models cannot be developed from existing data. Test and analyze thresholds, ranges and solution configurations to improve the effectiveness of monitoring and screening solutions.

                    +

                    • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

                    +

                    • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

                    +

                    • Champions a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team.

                    +

                    Skills, Experiences, and Functional Competencies

                    +

                    • Experience with statistical modeling and data science methods
                    • Experience programming in statistical languages such as R, SAS. Experience with databases such as Oracle or SQL Server
                    • AML/ATF experience or analytic knowledge

                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Transaction-Monitoring%2C-AMLATF-Models-and-Analytics-ON-M5C2W1/568954017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-26T19:13:04.754Z,False,0,2,25,https://talenthub.vectorinstitute.ai/jobs/209219022-manager-transaction-monitoring-aml-atf-models-and-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Transaction-Monitoring%2C-AMLATF-Models-and-Analytics-ON-M5C2W1/568954017/,expired,2023-03-27T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,No Degree,New Posting, 1e7a72d0-d45c-45d0-ac8c-c0a0dbe0c864,209225158,Layer 6,Sr. Machine Learning Product Engineer – Tech Lead,on_site,"Toronto, ON, Canada",2023-03-27T19:44:17.622Z,"

                    Sr. Machine Learning Product Engineer – Tech Lead

                    The Machine Learning Product Engineer team at Layer 6 focuses on building industry-leading data-centric systems and model delivery systems. Our solutions include data pipelines, feature data lake, systemic data validation and automation of key activities in model delivery including model validation, shakedown, inference, and maintenance.

                    @@ -117108,972 +124995,1287 @@ acb3d4b3-750d-4f50-93e1-eabdf034fb89,230064654,TELUS,Data Scientist,on_site,"Ont

                    Diversity and Inclusion

                    Air Canada is strongly committed to Diversity and Inclusion and aims to create a healthy, accessible and rewarding work environment which highlights employees’ unique contributions to our company’s success.

                    As an equal opportunity employer, we welcome applications from all to help us build a diverse workforce which reflects the diversity of our customers, and communities, in which we live and serve.

                    Air Canada thanks all candidates for their interest; however only those selected to continue in the process will be contacted.

                    ",,https://careers.aircanada.com/jobs/12603913-environmental-affairs-reporting-analyst,talent.sourcing@aircanada.ca,https://careers.aircanada.com/,,,2023-06-30T18:08:22.318Z,False,0,5,37,https://talenthub.vectorinstitute.ai/jobs/229460012-environmental-affairs-reporting-analyst-at-air-canada,,expired,2023-05-26T15:43:00.000Z,website-existing-job-slot,Enterprise (500+),Application Click Through,Transportation,Mid-Senior Level,Bachelors Degree,New Posting, -a12bc77b-0f19-43ab-9995-861be20d908c,221075121,RBC,"Senior Manager, Data & Analytics, ESG Centre of Excellence, Internal Audit",on_site,"Toronto, ON, Canada",2023-05-01T17:16:02.171Z,"
                    -

                    Come Work with Us!

                    At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                    Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                    -

                    Job Title

                    Senior Manager, Data & Analytics, ESG Centre of Excellence, Internal Audit

                    -

                    -

                    Job Description

                    -

                    What is the Opportunity?

                    -

                    As part of the Environmental, Social, Governance Centre of Excellence (ESG COE) in RBC’s Internal Audit team, you will play a role in assessing how environmental and social (E&S) risks are being managed, and the effectiveness of related controls. You will assess the design and operating effectiveness of key climate and E&S risk-related controls and initiatives through testing and evaluating research, data analytics and insights. A significant focus of this role will be testing data and controls related to the calculation of RBC’s financed emissions across different asset classes within carbon-intensive sectors, and tracking progress on net-zero emissions reduction targets.

                    +2c792eca-17ce-4e83-ad5e-f4e08025a27c,222290777,TD Bank Group,AML Advisory Analyst Intern/Co-op,on_site,"Toronto, ON",2023-05-04T17:24:05.661Z,"
                    +

                    Company Overview

                    +
                    +

                    All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                    +

                    Why TD?

                    +

                    TD’s Colleague Promise: A better you. A better us.

                    +

                    A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                    +

                    -

                    The RBC CAE Group leverages a unique perspective— with a coordinated view across the entire business—to deliver valuable advice that not only gives assurance, but that illuminates a bigger picture, connects dots, builds best practices and broadens possibilities. We connect intelligence to protect and enable RBC.

                    +

                    Department Overview

                    +
                    +

                    The TD Bank Group (TD) Global AML Compliance Department is accountable for establishing TD’s Global Anti-Money Laundering and Anti-Terrorist Financing Program (AML/ATF) to ensure that all TD businesses remain compliant with AML/ATF regulatory expectations in all jurisdictions where TD operates. This includes ensuring that businesses are aware of the legislation under which they are governed, and providing advice and support as required. The team is also accountable for promoting regulatory compliance by developing and maintaining AML compliance programs, including relevant training, carrying out independent oversight monitoring and meeting reporting requirements.

                    +

                    Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                    +

                    Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                    +
                      +
                    • Leadership talks with key Leaders from across the organization
                    • +
                    • Lunch and Learns on topics such as Innovation
                    • +
                    • Diversity and Inclusion and Personal Branding and so much more
                    • +
                    +

                    -

                    What will you do?

                    +

                    Job Description

                    +
                    +

                    The Canadian Banking and Global Wealth & Insurance AML team is looking for someone who is interested in a “big picture”, cross-functional governance and monitoring role. The AML Advisory Analyst will support the development and maintenance of a 2nd Line oversight program for the implementation of AML/ATF and sanctions controls in the business lines supported by the Canadian Banking and Global Wealth & Insurance (CBGWI) AML team. The AML Advisory Analyst will execute controls testing procedures, on behalf of the Head of AML, CBGWI, work with business-facing relationship managers on the CBGWI AML team to assess the effectiveness of AML/ATF and sanctions controls, and identify potential areas of improvement for the first line AML/ATF/Sanctions program.

                    +

                    Other key responsibilities include:

                      -
                    • Source, assess, validate, and visualize data used for climate and social risk measurement, and work with the Director, ESG COE, and use this data to inform actionable steps in advising internal stakeholders on management and monitoring of E&S risk.
                    • -
                    • With a risk and controls-focused mindset, identify opportunities to assess and challenge E&S risk data processes and controls, and make recommendations for implementing improvements.
                    • -
                    • Assess data quality and results obtained from public and private data sources work with internal stakeholders to improve our climate risk measurement and management capabilities.
                    • -
                    • Work with diverse internal stakeholders across business lines and functions to share assessments of E&S risk data and insights, contribute to improving E&S risk management and controls, business strategy, and ESG and climate disclosures.
                    • -
                    • Assess RBC’s capabilities in measuring financed emissions, setting net-zero targets and delivering carbon accounting insights across the enterprise.
                    • -
                    • Contribute to and lead the development and delivery of presentations and reports.
                    • -
                    • Lead workstreams and collaborations across multiple teams in order to accomplish the above.
                    • +
                    • Work with members of the CBGWI AML team to ensure key AML/ATF and sanctions controls are designed and operating effectively on an on-going basis.
                    • +
                    • Evaluations of controls deficiencies and non-compliance to identify root cause in order to facilitate the development of effective action plans.
                    • +
                    • Develop strong relationships and work collaboratively with business partners who are responsible for providing the information that feeds into the monitoring program
                    • +
                    • Effectively identify emerging risks through advanced analysis of high-volume and complex data that require further consideration or escalation
                    • +
                    • Contributes to the reporting of program results, trends, themes, and emerging risks, as delivered by the Head of AML – Canadian Banking and Global Wealth & Insurance (CBGWI)
                    • +
                    • Collaborates with other members of the CBGWI AML team to foster a “culture of compliance” within the business units.
                    +

                    -

                    Must have

                    +

                    Requirements

                    +
                      +
                    • A curious and inquisitive mindset, with a proven ability to work effectively in a cross-functional, fast-paced and evolving environment.
                    • +
                    • Perform data manipulation and apply analytic techniques to derive insights from complex data into reports and presentations for dissemination to an executive audience
                    • +
                    • Ability to corroborate structured and non-structured data to tell a coherent and insightful story.
                    • +
                    • Ability to grasp new concepts/information to facilitate effective risks identification and controls evaluation.
                    • +
                    • Excellent business acumen and good understanding of risk and controls evaluation processes such as those for financial reporting or operations.
                    • +
                    • Strong critical thinking, organizational and problem solving skills
                    • +
                    • Superior writing skills with the ability to draft superior quality assessments/reports, policies, procedures and business correspondence
                    • +
                    • Proactive and motivated, with demonstrated consensus building skills
                    • +
                    • Currently enrolled in an undergraduate degree in Finance, Accounting, Analytics, Data, Business/Commerce or related field; with the intent of going back to school at the start of your work term
                    • +
                    +

                    +

                    Additional Information

                    +
                      +
                    • This position is a 4-month work term and will commence September 5th – December 22nd 2023.
                    • +
                    • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                    • +
                    • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                    • +
                    • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                    • +
                    • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
                    • +
                    +

                    +

                    Start Date

                    +
                    – Fall
                    +

                    +

                    Inclusiveness

                    +

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    +

                    +
                    ",,https://jobs.td.com/en-CA/jobs/18324216/aml-advisory-analyst-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-23T21:26:00.000Z,False,0,3,28,https://talenthub.vectorinstitute.ai/jobs/222290777-aml-advisory-analyst-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18324216/aml-advisory-analyst-intern-co-op-toronto-ca/,expired,2023-05-04T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +16a066df-be6d-49f9-8719-a088879965e3,226183794,TD Bank Group,Senior Business Insights Analyst,on_site,"Toronto, ON",2023-05-16T15:53:06.475Z,"
                    +

                    Company Overview

                    +
                    +

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    +

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    +
                    +

                    +

                    Department Overview

                    +
                    +

                    What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                    +

                    We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                    +
                    +

                    +

                    Job Description

                    +
                    +

                    About this Role

                      -
                    • Undergraduate degree in a quantitative discipline or similar.
                    • -
                    • Experience working in an analytics team, especially those tasked with solving difficult and/or vaguely-defined problems, and an advanced understanding of coding, programming and querying languages, including SQL and Python.
                    • -
                    • Experience developing presentations, visualizations and dashboards for executives and an interest in developing advanced analytical capabilities; excellent written and verbal communication skills.
                    • -
                    • Demonstrated ability in mathematical, statistical, financial or economic analyses on large, complex datasets and in translating data into business insights and storytelling.
                    • -
                    • A desire and proven ability to build new and innovative approaches to complex problems with minimal direction.
                    • -
                    • Commitment to quality and accuracy with a high level of attention to detail.
                    • +
                    • Lead the development and distribution of CPR business reports
                    • +
                    • Develop analysis to illustrate business trends and identify areas of business opportunities
                    • +
                    • Produce insights and recommend business actions to align with strategy and/or solve business problems
                    • +
                    • Apply understanding of respective business strategies to produce relevant data analysis to support business goals and objectives
                    • +
                    • Lead and support report optimization initiatives, including recommending additional data capture, metrics, and/or tagging as required, and occasionally including the development of multi-channel metadata / tagging taxonomies
                    • +
                    • Work in partnership with various functions to provide day-to-day support including delivery of ad hoc reports, insights and analytics
                    • +
                    • Work closely with Manager and Sr. Manager to implement solutions in collaboration with stakeholders
                    • +
                    • Confidently communicate findings and recommendations to stakeholders at all levels including Sr. leadership – clarifying findings using data visualization techniques
                    • +
                    • Identify opportunities for continuous improvements (i.e. data quality and flows and Relationship Builder application
                    • +
                    • Provide top-tier specialized knowledge, advice to various partners and team members
                    • +
                    • Support team members with development and reports
                    +

                    -

                    Nice to have

                    +

                    Requirements

                    +
                    +What can you bring to TD?

                    +

                    Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                      -
                    • Master of Management Analytics degree; CFA, CMA or CPA; audit or compliance experience. Knowledge of climate change science with experience in the development and use of climate and economic scenarios, models, projections and data; knowledge or familiarity with the climate risk and/or target setting guidance issued by PCAF, NZBA, TCFD, ISSB, and/or OSFI (B-15).
                    • -
                    • Experience with or interest in agile or design thinking methodologies or frameworks.
                    • -
                    • Knowledge and experience in quantitative model development, testing and validation.
                    • +
                    • Bachelor’s Degree or equivalent in Engineering, Computer Science, IT, Mathematics or Busines
                    • +
                    • Salesforce certifications are considered assets
                    • +
                    • A minimum of 3+ years overall Finance, Technology & IT industry, Customer Problem Resolution experience
                    • +
                    • A minimum of 3+ years working with Excel, SQL and Salesforce
                    • +
                    • Ability to work on Salesforce Analytics Studio
                    • +
                    • Solid business acumen in Customer Problem Resolution, management, and communication skills
                    • +
                    • Experience presenting ideas, products, concept papers to varied audiences
                    • +
                    • Experience with Software development lifecycle methodologies
                    • +
                    • Knowledge of one or more programming and scripting languages
                    • +
                    • Experience in data movement and transformation technologies
                    • +
                    • Working knowledge of visualization tools such as Analytics Studio
                    • +
                    • Experience with AI and Machine Learning tools
                    • +
                    • Experience in project and/or product management
                    +

                    +

                    Additional Information

                    +
                    #LI-Hybrid

                    -

                    What’s in it for you?

                    -

                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                    +

                    Flexible Work Options

                    +
                    N/A
                    +

                    +

                    Hours

                    +
                    37.5
                    +

                    +

                    Inclusiveness

                    +

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    +

                    +
                    ",,https://jobs.td.com/en-CA/jobs/17935345/senior-business-insights-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-23T21:28:00.000Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/226183794-senior-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17935345/senior-business-insights-analyst-toronto-ca/,expired,2023-05-16T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +e9bac5a1-1dbd-44f2-8e12-c77549c74bce,222290796,TD Bank Group,Business Insights & Analytics Intern/Co-op,on_site,"Toronto, ON",2023-05-04T17:24:06.762Z,"
                    +

                    Company Overview

                    +
                    +

                    All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                    +

                    Why TD?

                    +

                    TD’s Colleague Promise: A better you. A better us.

                    +

                    A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                    +
                    +

                    +

                    Department Overview

                    +
                    +

                    Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                    +

                    Our Co-op/Intern Programming is offered with select Co-op and Internship roles, and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                      -
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                    • -
                    • Leaders who support your development through coaching and managing opportunities
                    • -
                    • Work in a dynamic, collaborative, progressive, and high-performing team
                    • -
                    • A world-class training program in financial services
                    • -
                    • Opportunities to do challenging work
                    • -
                    • Access to a variety of job opportunities across business and geographies
                    • +
                    • Leadership talks with key Leaders from across the organization
                    • +
                    • Lunch and Learns on topics such as Innovation
                    • +
                    • Diversity and Inclusion and Personal Branding and so much more
                    +

                    +

                    Job Description

                    +
                    +

                    JOB DESCRIPTION

                    +

                    You will have the opportunity to work with one of our various teams within the Analytics & Data group. The Business Insights & Analytics Co-op/Intern is a 4 month term opportunity. We are looking for someone who will be an ambitious and dedicated contributor to our team. Not only is this an opportunity for promising career growth, but meaningful work awaits both on business and Analytics & Data fronts.

                    +

                    The Business Insights & Analytics Co-op/Intern will perform a variety of activities, which may include:

                    +
                      +
                    • Perform SQL data queries and support data sets for analysis/modelling, including cleaning data and feature engineering
                    • +
                    • Analyze large data sets and identify trends and insights to inform business decisions; communicate findings to technical and non-technical audiences
                    • +
                    • Support team members and business partners to develop, test and deploy analytics solutions, for example: forecasting, optimization, or pricing models
                    • +
                    • Proactively identify business problems and opportunities where a data-driven solution would be appropriate and develop proposals / approaches
                    • +
                    • Collaborate with business partners to support the business case development process for analytics solutions
                    • +
                    +

                    -

                    -

                    Job Summary

                    -

                    Address:

                    TORONTO, Ontario, Canada

                    City:

                    CAN-ON-TORONTO

                    Country:

                    Canada

                    Work hours/week:

                    37.5

                    Employment Type:

                    Full time

                    Platform:

                    Internal Audit

                    Job Type:

                    Regular

                    Pay Type:

                    Salaried

                    Posted Date:

                    2023-04-28

                    Application Deadline:

                    2023-05-13
                    -

                    Inclusion and Equal Opportunity Employment

                    -

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    -
                    -

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                    -
                    ",,https://jobs.rbc.com/ca/en/job/R-0000058521/Senior-Manager-Data-Analytics-ESG-Centre-of-Excellence-Internal-Audit,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-05-15T22:41:00.000Z,False,0,3,12,https://talenthub.vectorinstitute.ai/jobs/221075121-senior-manager-data-analytics-esg-centre-of-excellence-internal-audit-at-rbc,,expired,2023-05-01T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -a1990c28-e336-49c2-a71e-faa153636838,226184569,Clearpath,Perception Developer,on_site,"Ontario, Canada",2023-05-16T16:15:05.093Z,"

                    Description

                    -

                    Position: Perception Developer
                    Location: Based in Kitchener-Waterloo, Ontario
                    Job Type: Full-Time Permanent
                    Experience: 1-5 Years Relevant Work or Academic Experience
                    Education: Graduate Degree in Related Field
                    Division: OTTO Motors

                    -

                    About OTTO™ Motors (Division of Clearpath Robotics)

                    -

                    OTTO™ Motors is a growing, disruptive company, making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self-driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit www.ottomotors.com.

                    -

                    About the Job

                    -

                    We\'re looking for a driven, resourceful and motivated candidate for the Perception Developer position. This person will help develop the next generation of perception algorithms to tackle the toughest challenges in localization and mapping, object detection and tracking, machine learning, computer vision and more.

                    -

                    The Perception Team’s primary responsibility is the development of the core robotics software responsible for environmental sensing and understanding on all of our vehicles. You will be responsible for evaluating state-of-the-art ideas from academia and industry, and taking these ideas out of the lab and into the real world, identifying opportunities to improve, and developing high-performance software to run in real time on robots. As part of the Perception Team you will continue to advance the cutting edge of robotics research through collaboration with our academic partners and contributions to research publications and open source initiatives.

                    -

                    Your primary responsibilities will be:

                    +

                    Requirements

                    +
                      -
                    • Creating robust innovative solutions to the problems of robotic perception
                    • -
                    • Developing custom perception algorithms and systems related to localization and mapping, object detection and tracking, machine learning, computer vision, and more
                    • -
                    • Evaluating new sensing technology and robotic platforms
                    • -
                    • Assisting with concept development for new products and projects
                    • -
                    • Supporting the deployment and testing of robotic systems
                    • +
                    • +JOB REQUIREMENTS

                      Assigned Line of Business Requirements

                      +
                    • +
                    • Currently enrolled in either a recognized undergraduate degree majoring in Computer Science, Mathematics, Engineering, Science, Statistics, Business, Data Analytics or related, with the intent of going back to school at the start of your work term.
                    • +
                    • Strong statistical and analytical skills and interest are necessary.
                    • +
                    • Strong proficiency with Excel.
                    • +
                    • Excellent verbal and written communication with the ability to work collaboratively and effectively in a team environment.
                    • +
                    • Knowledge in one or more of R, Python, SQL, SAS or other data-related programming languages.
                    • +
                    • Knowledge in Tableau.
                    • +
                    • Knowledge with Data Management, Analytics, and Project Management is a plus.
                    • +
                    • Knowledge of data quality, business glossaries, and data dictionaries are considered an asset.
                    -
                    • Staying up to the date with the latest developments from academia and industry
                    -

                    Skills and experience:

                    +

                    ** Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting.

                    +
                    +

                    +

                    Additional Information

                    +
                    +

                    ADDITIONAL INFORMATION
                    Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.

                      -
                    • Graduate degree in engineering/CS or a related field, with applicable background.
                    • -
                    • Practical and theoretical knowledge in at least one or more areas of: state estimation, computer vision, SLAM, machine learning, object detection and tracking, robotic perception.
                    • -
                    • Strong software development skills in modern C++ and Python.
                    • -
                    • Understanding of software development workflows, life cycles and development methodologies and tools.
                    • -
                    • Hands-on experience with real world autonomous systems.
                    • +
                    • This position is a 4-month work term and will commence September 5th, 2023 – December 22nd, 2023
                    • +
                    • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                    • +
                    • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                    • +
                    • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                    • +
                    • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
                    -

                    Bonus points for:

                    +
                    • +ADDITIONAL INFORMATION

                      HOURS
                      Monday-Friday, standard business hours

                      +

                      INCLUSIVENESS
                      At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                      +
                    +
                    +

                    +

                    Start Date

                    +
                    – Fall
                    +

                    +

                    Inclusiveness

                    +

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    +

                    +
                    ",,https://jobs.td.com/en-CA/jobs/18313063/business-insights-analytics-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-23T21:27:00.000Z,False,0,6,16,https://talenthub.vectorinstitute.ai/jobs/222290796-business-insights-analytics-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18313063/business-insights-analytics-intern-co-op-toronto-ca/,expired,2023-05-04T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +0e46abd8-6d70-465e-ab79-d5fbeef8a106,222290764,TD Bank Group,Data Science & Advanced Analytics Co-op/Intern,on_site,"Toronto, ON",2023-05-04T17:24:04.724Z,"
                    +

                    Company Overview

                    +
                    +

                    All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                    +

                    Why TD?

                    +

                    TD’s Colleague Promise: A better you. A better us.

                    +

                    A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                    +
                    +

                    +

                    Department Overview

                    +
                    +

                    Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                    +

                    Our Co-op/Intern Programming is offered with select Co-op and Internship roles, and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                      -
                    • Experience writing efficient, high performance code.
                    • -
                    • Experience with ROS, Gazebo, OpenCV and PCL.
                    • -
                    • Experience with machine learning frameworks such as Tensorflow, PyTorch and TensorRT.
                    • -
                    • Familiarity with linear algebra and nonlinear optimization techniques and libraries such as Ceres, GTSAM, g2o and Eigen.
                    • -
                    • Understanding of sensor error modeling, particularly laser rangefinders and vision systems.
                    • +
                    • Leadership talks with key Leaders from across the organization
                    • +
                    • Lunch and Learns on topics such as Innovation
                    • +
                    • Diversity and Inclusion and Personal Branding and so much more
                    -

                    Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, gender identity/expression, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                    ",,http://jobs.jobvite.com/clearpath/job/oKM5mfwH,feed-importer@jobboard.io,,,,2023-06-15T21:20:19.177Z,False,0,16,77,https://talenthub.vectorinstitute.ai/jobs/226184569-perception-developer-at-clearpath,,expired,2023-05-16T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Manufacturing ,Associate,Masters Degree,New Posting, -5edc101b-20fb-4639-809a-4aa8dbb72596,233913656,OMERS,"Quantitative Analyst, Quant Strategies Group",on_site,"Ontario, Canada",2023-06-08T16:15:02.615Z,"
                    -

                    -

                    -

                    Why Join Us?

                    -

                    We are currently seeking a Quantitative Analyst to join the Quant Strategies Group (QSG), under the Global Multi-Asset (GMA) Strategies team in Toronto. The GMA Strategies team provides investment solutions for OMERS across passive, active, absolute return and risk-mitigation strategies. The team is structured across four key areas: i) Quant Strategies, ii) Macro, Rates and FX, iii) Event Driven, and iv) Balance Sheet Management, managing in-excess of CAD $20 billion of plan assets. Our team invests across a broad global mix of equities, bonds, credit and commodities in both the cash and derivative markets. QSG employs a holistic approach to its investment strategy, applying both quantitative and fundamental techniques. This role represents a unique, ground-level opportunity for the successful candidate to begin their career in quantitative asset management.

                    +

                    -

                    The Quantitative Analyst role will be focused on the development and maintenance of our proprietary investment related systems. In addition, the Quantitative Analyst will be involved in the research and development of investment strategies for the QSG portfolio. The successful candidate will apply their strong programming ability, quantitative skills and keen interest in the financial markets to support the broader team in managing a large, diversified investment portfolio. It is expected that the successful candidate will wish to pursue a long-term career in investment research and portfolio management.

                    +

                    Job Description

                    +
                    +

                    JOB DESCRIPTION

                    +

                    You will have the opportunity to work with one of our various teams within the Analytics & Data group. The Data Science & Advanced Analytics Co-op/Intern is a 4/8/12-month work term opportunity in data and analytics. The Data Science and Advanced Analytics Co-op/Intern will perform a variety of activities, we are looking for someone who will be an ambitious and dedicated contributor to our team. Not only is this an opportunity for promising career growth, but meaningful work awaits both on business and Analytics & Data fronts.

                    +

                    The The Data Science and Advanced Analytics Co-op/Intern will perform a variety of activities, which may include:

                    +
                      +
                    • Apply machine learning methods to conduct data-driven research, identify opportunities, and make tangible recommendations to senior management.
                    • +
                    • Support business partners to identify opportunities for process optimization and informed decision-making and build innovative solutions.
                    • +
                    • Work with structured and unstructured data and prepare data sets for machine learning through integration, cleaning, feature engineering, scaling and transforming data
                    • +
                    • Build production-scale solutions and work with deployment teams to integrate in business operations
                    • +
                    • Leverage visualization methods to represent results and communicate outcomes to technical and non-technical audiences
                    • +
                    +

                    -

                    As a member of this team, you will be responsible for:

                    +

                    Requirements

                    +
                      -
                    • Researching strategy improvements such as new factors or enhancements to existing factors, portfolio construction, and risk management
                    • -
                    • Developing, operationalizing and deploying sophisticated data science investment tools (such as NLP, AI, and Machine Learning) on alternative and unstructured data
                    • -
                    • Procuring data and overseeing maintenance of the data lake (cloud) and database
                    • -
                    • Providing subject matter expertise related to data automation, analytics and visualization tools
                    • -
                    • Develop and maintain proprietary investment systems used in the management of a large, diversified portfolio
                    • -
                    • Support research initiatives and work closely with other Analysts/Portfolio Managers within the team and across the GMA Strategies and the broader Capital Markets group
                    • -
                    • Work on a broad variety of investment research projects across multiple asset classes
                    • +
                    • +JOB REQUIREMENTS

                      Assigned Line of Business Requirements

                      +
                    • +
                    • Currently enrolled in either a recognized undergraduate or graduate degree majoring in Computer Science, Physics, Mathematics, Statistics, Engineering, Data Analytics or related, with the intent of going back to school at the start of your work term.
                    • +
                    • Strong statistical and analytical skills and interest are necessary.
                    • +
                    • Excellent verbal and written communication with the ability to work collaboratively and effectively in a team environment.
                    • +
                    • Experience in Python, SQL and/or other data-related programming languages.
                    • +
                    • Experience with visualizations and building dashboards in Tableau is considered an asset.
                    • +
                    • Knowledge/experience with machine learning is considered an asset.
                    • +
                    • Experience with Data Management, Analytics, and Project Management is a plus.
                    +

                    ** Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting.

                    +

                    -

                    To succeed in this role, you have:

                    +

                    Additional Information

                    +
                    +

                    ADDITIONAL INFORMATION
                    Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.

                      -
                    • Undergraduate degree in computer science, mathematics, finance, economics or engineering preferably with 1+ years of industry experience in investments or capital markets
                    • -
                    • Strong programming skills required (C#, Python)
                    • -
                    • Knowledge of SQL and experience with large data sets are a must
                    • -
                    • Experience With Machine Learning Frameworks such as TensorFlow or PyTorch
                    • -
                    • Strong attention to detail, highly organized and keen to learn
                    • -
                    • Ability to work independently and within a team
                    • -
                    • An action-oriented approach with a high degree of initiative and ability to deliver results
                    • -
                    • Strong written and verbal communication skills
                    • -
                    • Highly developed interpersonal and relationship management skills
                    • -
                    • Ability to contribute to and foster a collegial and creative team culture
                    • -
                    • Commitment to learning and intellectual curiosity, with a passion for investing
                    • +
                    • This position is a 4-month work term and will commence September 5th, 2023 – December 22nd, 2023
                    • +
                    • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                    • +
                    • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                    • +
                    • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                    • +
                    • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
                    +
                    • +ADDITIONAL INFORMATION

                      ADDITIONAL INFORMATION

                      +

                      HOURS
                      Monday-Friday, standard business hours

                      +

                      INCLUSIVENESS
                      At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                      +
                    +

                    -

                    -

                    -

                    -

                    -

                    Our story:

                    -

                    Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                    +

                    Start Date

                    +
                    – Fall

                    -

                    OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                    -
                    ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Quantitative-Analyst--Quant-Strategies-Group_JR-5014?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-06-16T02:23:02.313Z,False,0,8,39,https://talenthub.vectorinstitute.ai/jobs/233913656-quantitative-analyst-quant-strategies-group-at-omers,,expired,2023-06-08T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -6c4a8ee2-d151-45b4-9226-1cdd3ccbf9a2,230064655,TELUS,Privacy Engineer (Remote),on_site,"Ontario, Canada",2023-05-28T16:15:04.221Z,"
                    -
                    -

                    JOIN OUR TEAM

                    -
                    +

                    Inclusiveness

                    +

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    +

                    +
                    ",,https://jobs.td.com/en-CA/jobs/18300611/data-science-advanced-analytics-co-op-intern-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-23T21:24:00.000Z,False,0,4,37,https://talenthub.vectorinstitute.ai/jobs/222290764-data-science-advanced-analytics-co-op-intern-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18300611/data-science-advanced-analytics-co-op-intern-toronto-ca/,expired,2023-05-04T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +b95af9f7-0516-4a23-8989-539e0cc4a153,221076222,Scotiabank,Velocity - Business Analyst Internship/Co-Op - Fall 2023,on_site,Canada : Ontario : Toronto,2023-05-01T17:22:02.466Z,"

                    -

                    The TELUS Data & Trust Office provides world-class, innovative privacy solutions to TELUS. We partner with teams across the organization to advance our corporate priorities, support innovation and ultimately deliver on our promise to safeguard our customer’s privacy and to earn and maintain their trust.

                    -

                    We see compliance with the law as our starting point and we passionately pursue opportunities to demonstrate respect for our customers and their data through transparent, robust, and ethical data practices.

                    -

                    Our team takes pride in earning a reputation for being innovative thought leaders, strategic business partners and subject-matter experts in privacy and data governance.

                    -
                    -
                    -
                    -

                    Description

                    -
                    +

                    Requisition ID: 177543

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    The impact you’ll make and what we’ll accomplish together

                    +

                    Term: September - December 2023
                    Application Deadline: 05/19/2023

                    +

                    +

                    There's no better way to find your dream job than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                    +

                    +

                    The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

                    +

                    +

                    Is this role right for you? In this role, you will:

                    +
                    • Work with a team of highly-motivated, technical generalists and bankers to deliver clean and effective solutions
                    • Identify and analyze business and technical requirements to create diagrams, flow charts, and documentation
                    • Interpreting and consolidating large amounts of information in actionable recommendations.
                    • Make impact by constantly improving, identifying and implementing process
                    • Experiment & learn!
                    • +
                    +

                    +

                    Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                    +
                    • You are currently enrolled in post-secondary education.
                    • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                    • You enjoy being involved in extracurricular activities such as conferences, clubs, and hackathons.
                    • +You have knowledge/experience in:
                      • Drawing conclusions and provide actionable insights to encourage data –driven decision making
                      • Managing a project, and ensuring deliverables are made
                      • Database knowledge (Postgres, Oracle, SQL Server, etc.)
                      • Programming Languages (Python)
                      • Salesforce, Power BI and/or Tableau experience would be considered an asset
                    • +
                    +

                    +

                    What’s in it for you?

                    +
                    • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                    • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                    • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                    • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                    • +
                    +

                    +

                    How do I apply?

                    +


                    Please complete all three steps below:

                    +
                    1. Complete your PLUM Profile here and save as a screenshot.
                    2. Complete a short one-way video interview here.
                    3. Once you have completed your Plum Profile and one-way video interview, apply to the role. Reminder: when the application asks for your resume, instead upload the screenshot of your PLUM Profile!
                    4. +
                    +


                    *Note: The one-way video interview for all of our 2023 Velocity Technology applications are the same. You only need to complete the “one-way video interview” once per year!

                    +

                    *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all three steps above.

                    -

                    As the Privacy Engineer, supported by the Director of Privacy & Innovation, you will materially influence the ongoing development of TELUS’ business innovation focused on supporting the growth of the business along with the development, deployment, and use of new digital technologies.

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Business-Analyst-InternshipCo-Op-Fall-2023-ON/569923017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-22T15:57:03.736Z,False,0,4,8,https://talenthub.vectorinstitute.ai/jobs/221076222-velocity-business-analyst-internship-co-op-fall-2023-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Business-Analyst-InternshipCo-Op-Fall-2023-ON/569923017/,expired,2023-05-01T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +d1905960-a21a-4558-8e34-6425d21a89f1,222290267,Scotiabank,Velocity - Data Engineer Internship/Co-Op - Fall 2023,on_site,Canada : Ontario : Toronto,2023-05-04T17:22:02.623Z,"

                    -

                    You will collaborate with, advise and guide the business to embed privacy by design principles from the first stages of development to ensure data practices meet our rigorous privacy, security and ethical standards, and in a manner that demonstrates TELUS commitment to putting customers and their privacy first.

                    -

                    You will be an integral member of the Data & Trust Office. This team is tasked with solving some of our organization\'s most complex challenges while building a thriving community of practice around data ethics and data governance.

                    -

                    You will be a champion for Privacy & Innovation and you will advocate for TELUS’ Trust Model as the fundamental driver for all of our decisions around data, recognizing how critical customer and team member trust is to TELUS’ mission.

                    +

                    Requisition ID: 177548

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    Here’s how:

                    +

                    Term: September - December 2023
                    Application Deadline: 05/19/2023

                    -
                      -
                    • Identity opportunities to build or procure privacy-enhancing technologies, including to support the use of de-identification and synthetic data
                    • -
                    • Advise on how privacy-enhancing technologies can serve as an enabler for business program operations and assist with their deployment within the organization
                    • -
                    • Architect solutions to enable algorithmic fairness and explainability, data quality monitoring, and the development and implementation of data validation and testing strategies
                    • -
                    • Support the development of a data analytics program to deploy or leverage technology responsibly and ethically always in a manner that demonstrates TELUS’ commitment to putting customers and their privacy first
                    • -
                    • Develop the design and documentation of processes that standardize best practices in privacy engineering and support an agile development methodology
                    • -
                    • Educate and advise business units on existing or new data uses, and provide innovative strategies and creative solutions to address privacy, compliance and data governance considerations
                    • -
                    • Collaborate with cross-functional stakeholders to ensure adherence to the TELUS’ Trust Model
                    • +

                      There's no better way to find your dream job than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                      +

                      +

                      The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

                      +

                      +

                      Is this role right for you? In this role, you will:

                      +
                      • Perform data exploration on different data sources and model training
                      • Productionalize/Operationalize advanced analytics models following the Bank standards. ModelOps plays a key role as a liaison with other teams (Security, Privacy, Data Office, Analytics, Technology, among others)
                      • Automate data pipelines and trigger actions/events to streamline business processes and models enablement
                      • Enable mechanisms for Data Scientist and stakeholders to monitor the performance of a Model
                      • Monitor the run time of the models, work closely with Data Scientist on continuous optimization
                      • Monitor data pipelines, liaise with vendors, and source systems groups in the event of failures/maintenance
                      • Migrate data pipelines and models to new analytics platforms
                      • Experiment & learn!
                      • +
                      +

                      +

                      Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                      +
                      • You are currently enrolled in post-secondary education.
                      • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                      • You enjoy being involved in extracurricular activities such as conferences, clubs, and hackathons.
                      • You have knowledge/experience in:
                      • +
                      +
                      • Big Data Technologies (Hive/Beeline, HDFS, Sqoop, Spark)
                      • Cloud platforms – GCP, Azure or AWS
                      • MinIO Data Storage, Airflow, Trino
                      • DB2, SQL Server
                      • Python (PyHive, PySpark), R, SQL-Shell (Bash, Korn) & general Linux/Unix
                      • CI/CD tech stack (BitBucket, Jenkins, Artifactory)
                      • +
                      +

                      +

                      What’s in it for you?

                      +
                      • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                      • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                      • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                      • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                      +

                      +

                      How do I apply?

                      +

                      For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                      +

                      +
                      1. Complete your PLUM Profile here and save as a screenshot.
                      2. Complete a short one-way video interview here.
                      3. +Once you have completed your Plum Profile and one-way video interview, apply to the role. Reminder: when the application asks for your resume, instead upload the screenshot of your PLUM Profile!
                      4. +
                      +

                      *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                      +

                      +

                      Location(s): Canada : Ontario : Toronto

                      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Engineer-InternshipCo-Op-Fall-2023-ON/569923517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-22T15:57:03.736Z,False,0,7,38,https://talenthub.vectorinstitute.ai/jobs/222290267-velocity-data-engineer-internship-co-op-fall-2023-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Engineer-InternshipCo-Op-Fall-2023-ON/569923517/,expired,2023-05-04T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +aaf5e837-6c76-440d-b879-5a9aabc20760,221076223,Scotiabank,Velocity - Data Scientist Internship/Co-Op - Fall 2023 (8 months),on_site,Canada : Ontario : Toronto,2023-05-01T17:22:02.631Z,"

                    -
                    -
                    -
                    -

                    Qualifications

                    -

                    -

                    You are the missing piece of the puzzle

                    -
                      -
                    • Demonstrated track record of providing subject matter expertise in embedded privacy by design into product and services while delivering on measurable outcomes for our customers and our businesses in a highly complex stakeholder environment
                    • -
                    • Familiarity with privacy-enhancing technologies (e.g. differential privacy, federated learning, synthetic data, etc.) and demonstrated working knowledge or understanding of software engineering fundamentals and lifecycle development
                    • -
                    • Familiarity with statistics, algorithms, and machine learning tools to analyze and evaluate fair and ethical AI
                    • -
                    • Passionate about privacy, data ethics and the imperative to use data to solve big and small problems
                    • -
                    • Keen to explore new and creative solutions to change the trajectory of persistent challenges and motivated to bring those solutions to life
                    • -
                    • Appreciated for your excellent interpersonal and problem-solving skills, and your ability to distill complex and/or ambiguous problems into clear, actionable requirements
                    • -
                    • Known for your ability to influence and negotiate effectively, to be a persuasive advocate, and known for your conflict resolution skills with a focus on win-win solutions
                    • -
                    • Sought out for excellent communication skills, verbal & written, with the ability to present information at all levels of the organization and leadership forums
                    • -
                    • 3-5 years experience in privacy / data protection or a graduate degree or concentration in privacy engineering
                    • -
                    • Post-secondary degree in computer science, computer engineering, information systems, privacy engineering, or related field of study
                    • -
                    • Certification in Privacy (e.g., CDPSE, CIPT, CIPM, CIPP certification)
                    • -
                    +

                    Requisition ID: 177546

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    Great-to-haves

                    +

                    Term: September 2023 - April 2024
                    Application Deadline: 05/19/2023

                    -
                      -
                    • Experience is proactively embedding privacy considerations into product design
                    • -
                    • Experience with the development, design, and architecture of IT technology, data management, and data integration processes
                    • -
                    • Experience with design for software applications running on multiple platforms
                    • -
                    • Experience with web architecture and the privacy and security model of the web
                    • -
                    • Bilingual in French & English, verbal and/or written
                    • +

                      There's no better way to find your dream job than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                      +

                      +

                      The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

                      +

                      +

                      +

                      Is this role right for you? In this role, you will:

                      +
                      • Collaborate with business lines and other stakeholders and identify opportunities to drive business value by leveraging data science solutions
                      • Leverage distributed computing tools (e.g., Spark, Cloud) for analysis, data mining, and modeling
                      • Collaborate with data engineering, software developer, and other analytics teams to build analytical dataset and model
                      • Create and apply model and algorithm testing strategies to measure, conduct testing to measure the effectiveness of models, and make ongoing changes
                      • Prepare detailed documentation to outline data sources, models, and algorithms used and developed
                      • Present results to business line stakeholders and help implement real data-driven changes
                      • Work on challenging and research-based initiatives using advanced machine learning methods focusing on data-driven outcomes
                      • Experiment & learn!
                      • +
                      +

                      +

                      Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                      +
                      • You are currently enrolled in post-secondary education.
                      • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                      • You enjoy being involved in extracurricular activities such as conferences, clubs, and hackathons.
                      • You have knowledge/experience in:
                      • +
                      +
                      • Cleaning, transforming, and visualizing large data sets working with various data formats (e.g., unstructured logs, XML, JSON, flat files)
                      • Big Data/Cloud ecosystem (e.g., GCP)
                      • Experimental design, statistical analysis, machine learning
                      • Python programming
                      • Common machine learning libraries in Python, PySpark (scikit-learn, xgboost)
                      • UNIX tools and shell scripting
                      • SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)
                      • Visualization tools like PowerBI
                      • Kubernetes
                      • Git Workflows (Pull Request, Code Review, Branching)
                      • +
                      +

                      +

                      What’s in it for you?

                      +
                      • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                      • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                      • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                      • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                      +

                      +

                      How do I apply?

                      +

                      For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationshipsover resumes and are focused on learning about who you are and what youre interested in to uncover your true potential.Instead,we ask that as part of your application you complete the below:

                      +

                      +
                      1. Complete your PLUM Profile here and save as a screenshot.
                      2. Complete a short one-way video interview here.
                      3. Once you have completed your Plum Profile and one-way video interview, apply to the role. Reminder: when the application asks for your resume, instead upload the screenshot of your PLUM Profile!
                      4. +

                      -

                      #LI-REMOTE

                      -

                      DTOJOBS2023

                      -
                    -
                    -
                    ",,https://careers.telus.com/job/Toronto-Privacy-Engineer-%28REMOTE%29-ON/569816017/,feed-importer@jobboard.io,,,,2023-06-16T02:23:02.313Z,False,0,4,26,https://talenthub.vectorinstitute.ai/jobs/230064655-privacy-engineer-remote-at-telus,,expired,2023-05-28T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, -c8745c9f-5a20-4ab8-97bd-a94554fd5c33,203442827,EllisDon,Data Engineer,on_site,"Mississauga, ON L4Y1M4, CAN Mississauga, ON L4Y1M4, CAN",2023-03-10T17:39:03.108Z,"

                    Job Details

                    Description

                    -

                    Connect with us LinkedIn, Instagram, Facebook, Twitter

                    -

                    EllisDon is committed to being the safest general contractor. As part of our vaccine directive, we require employees to be fully vaccinated, or in the process of receiving the vaccine against COVID-19. Should you have any additional questions related to our vaccine directive as you move forward in the hiring process, please discuss this with our People & Culture team.

                    -

                    Thinking about a change?

                    -

                    We recognize that the construction industry is changing at a rapid pace and we continually strive to be at the forefront. Our core values empower people to deliver great careers and develop creative solutions for complex problems on some of the most intricate projects. It doesn’t matter what your expertise and craft is – there are no boundaries. We are a group of leading professionals with a variety of expertise: engineers, investment bankers, superintendents, estimators, software engineers, accountants, lawyers, marketing and communications consultants, sustainability professionals, and project managers. As you can see, we are a diverse bunch.

                    -

                    In case you’re curious, here’s what the industry thinks of us and some cool things we have done.

                    +

                    *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                    -

                    You as a Data Engineer (Insight and Analytics) will:

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Scientist-InternshipCo-Op-Fall-2023-%288-months%29-ON/569923317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-22T15:57:03.736Z,False,0,8,28,https://talenthub.vectorinstitute.ai/jobs/221076223-velocity-data-scientist-internship-co-op-fall-2023-8-months-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Scientist-InternshipCo-Op-Fall-2023-%288-months%29-ON/569923317/,expired,2023-05-01T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +832d4dbc-aee1-4100-b465-8d2883652631,226982329,Google,"Student Researcher, MS, 2023",on_site,"Toronto, ON, Canada",2023-05-18T15:51:01.913Z,"
                    +
                    +2023-03-31T19:30:50.723Z
                    +
                      +
                    • Share
                    • +
                      Save +
                    • +

                    Student Researcher, MS, 2023

                      +
                    • Google
                    • +
                    • In-office:
                      + Waterloo, ON, Canada +
                    • +
                    • + 2 more locations
                    • +
                    +
                    +
                    +

                    +

                    Participation in this program requires that you are located in Canada for the duration of the engagement.

                    +

                    This opportunity is intended for students who are pursuing a MS degree with an anticipated graduation date after December 2024, depending on their program and unique circumstances. If you are graduating before December 2024, we encourage you to apply to the Internship openings.

                    +

                    To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English (PDFs preferred). Please ensure your anticipated graduation dates (in MM/YY) and any proficiency in coding languages are listed on resume.


                    Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Montreal, QC, Canada; Toronto, ON, Canada.

                    +
                    +

                    Qualifications

                    +

                    Minimum qualifications:

                      -
                    • Be a technical lead in the development of high-volume platforms & Data pipelines
                    • -
                    • Work with relevant stakeholders to identify sources of data and map out processes/data flow while researching opportunities for data acquisition and innovative new uses for existing data.
                    • -
                    • Design, construct, install, test, and maintain highly scalable data management systems while integrating new data management technologies into existing structures.
                    • -
                    • Develop ETL processes to move internal and external data into EllisDon's external cloud-based data lake: Develop separate ETL processes to move data from data lake to data warehouse(s).
                    • -
                    • Provide input and feedback to support continuous improvement in team processes
                    • -
                    • Providing thought leadership for all data solutions, including designing data solutions that meet and exceed customer expectations.

                    • -
                    • Continually improve our data pipelines and find innovative ways to maximize automation while recommending ways to improve data reliability, efficiency, and quality.

                    • +
                    • Currently enrolled in a Master\'s degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences.
                      +
                    • +
                    • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, etc.).
                      +
                    -

                    Is this the right role for you?

                    +

                    Preferred qualifications:

                      -
                    • Have knowledge and understanding of Programming Languages: Python and/or Java, SQL, ETL methodologies and toolsets, AWS/Google ecosystem, Database design, MS SQL, MySQL and/or Redshift/Big Query and NoSQL
                    • -
                    • Comfortable working in a fast-paced environment and collaborative environment
                    • +
                    • Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
                    • +
                    • Currently attending a degree program in Canada.
                    • +
                    • Experience as a researcher, including internships, full-time, or at a lab.
                    • +
                    • Experience contributing to research communities or efforts, including publishing papers in conferences or journals.
                      +
                    • +
                    • Experience with one or more general purpose programming languages (e.g., C/C++, Java, MATLAB, Go, Python, etc.).
                      +
                    • +
                    • Ability to speak and write in English fluently.
                    -

                    EllisDon is proud to provide this unique career opportunity within a progressive environment with continuous learning and opportunity for growth, as well as a competitive compensation package.

                    -

                    Go ahead and be yourself. We'll pay you for it!

                    -

                    We are an equal opportunity employer. While only qualified candidates will be contacted for an interview, be sure to continually check our website for other related positions as they are posted.

                    -

                    Accommodation for Applicants will be made during the recruitment process when requested.

                    -

                    Apply today at www.ellisdon.com (or Share on LinkedIn , Facebook)

                    Qualifications

                    Skills

                    Behaviors

                    :

                    Motivations

                    :

                    Education

                    Experience

                    Licenses & Certifications

                    ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=7a6e8aa5-f1a1-4968-a315-d2f415a5a841,feed-importer@jobboard.io,,,,2023-04-09T20:26:20.361Z,False,0,17,82,https://talenthub.vectorinstitute.ai/jobs/203442827-data-engineer-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=7a6e8aa5-f1a1-4968-a315-d2f415a5a841,expired,2023-03-10T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Construction or Infrastructure,Mid-Senior Level,Bachelors Degree,New Posting, -5f677b3d-eeb2-40a6-a7bf-b2bdd150cd4c,212878377,BMO Financial Group,"Senior Analyst, Quantitative Analysis and Strategy",on_site,"Ontario, Canada",2023-04-06T17:12:03.455Z,"
                    -

                    Application Deadline:

                    04/13/2023

                    +
                    +
                    +
                    +

                    About the job

                    +

                    The Student Researcher Program’s primary objective is to foster academic collaborations with students through research at Google. Join us for a paid Student Researcher position that offers the opportunity to work directly with Google research scientists and engineers on cutting-edge research projects.

                    +

                    The Student Researcher Program offers more opportunities for research students to work on critical research projects at Google in a less structured way. The program allows for opportunities beyond the limitations of our traditional internship program on aspects such as duration, time commitment, and working location (with options for on-site or remote). The topics student researchers work on tend to be open-ended and exploratory, and don\'t always have a clear deliverable like a traditional internship would.

                    +

                    Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world\'s fast-paced business needs.

                    +
                    +
                    +
                    +

                    Responsibilities

                    • Participate in research to develop solutions for real-world, large-scale problems.
                    +
                    +

                    Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                    Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and Know your rights: workplace discrimination is illegal. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                    To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                    At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                    We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                    Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                    +
                    +
                    +
                    ",,"https://careers.google.com/jobs/results/139843443313517254-student-researcher-ms-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-05-22T15:56:02.629Z,False,0,6,22,https://talenthub.vectorinstitute.ai/jobs/226982329-student-researcher-ms-2023-at-google,,expired,2023-05-18T15:51:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Masters Degree,New Posting, +9330715b-5090-442a-b107-c44eaffc3d5f,226183791,TD Bank Group,Senior Business Analyst Workday/Peoplesoft ( Data Integration),on_site,"Toronto, ON",2023-05-16T15:53:05.967Z,"
                    +

                    Company Overview

                    +
                    +

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    +

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    +

                    -

                    Address:

                    100 King Street West

                    -

                    -

                    Job Family Group:

                    Data Analytics & Reporting

                    -

                    -

                    -

                    -

                    Applies knowledge of advanced analytic algorithms and technologies to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups.

                    +

                    Department Overview

                    +
                    +

                    Business Information Management (BIM) at TD is part of a creative, enterprise-wide data and analytics ecosystem. Roles in BIM are highly professional and valued, specialized yet inter-connected and focused on making the availability of business information to designers, developers and decision-makers a priority, all with a united purpose to serve customers and continually build a better bank.

                    +

                    We’re looking for analytical and agile professionals who can merge and translate data into technology and business information, serving today’s business needs and setting in motion TD’s longer-term goals and strategic objectives. If you get data, its power and potential, we think you’ll love working at TD, where data knows no bounds and where your professional expertise will help to drive the business forward and take your own career to new heights.

                    +
                    +

                    +

                    Job Description

                    +
                    +

                    Are you an expert level business information analyst, equipped with both conceptual and practical expertise in business information management? If so, this role offers a hands-on and high-career growth opportunity to provide business technical leadership across a broad range of information management functions to support various areas of data and analytics.
                    Enjoy partnering with colleagues and directing data traffic? In this advanced professional role, you’ll work both independently and within teams as a senior data analyst. Colleagues and business partners will look to you to manage and direct activities related to impact analysis, design and support of business data management solutions, including larger projects.
                    As a Senior Business Information Management Analyst, you will:

                      -
                    • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • -
                    • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                    • -
                    • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
                    • -
                    • Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
                    • -
                    • Applies scripting / programming skills to assemble various types of source data into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                    • -
                    • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., Analytical solutions, mathematical models, algorithms, machine learning, deep learning) to test, verify, refine hypotheses.
                    • -
                    • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                    • -
                    • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                    • -
                    • Performs experimental design approaches to validate finding or test hypotheses.
                    • -
                    • Uses the appropriate algorithms to discover patterns.
                    • -
                    • Builds effective relationships with internal/external stakeholders and ensures alignment.
                    • -
                    • Supports development of tools and delivers training for data analytics and AI.
                    • -
                    • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • -
                    • Leads/participates in the design, implementation and management of core business/group processes.
                    • -
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                    • -
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • -
                    • Works independently on a range of complex tasks, which may include unique situations.
                    • -
                    • Broader work or accountabilities may be assigned as needed.
                    • +
                    • Be the expert-level team analyst, considered an authority with in-depth knowledge and experience in data analysis and data migration as well as working knowledge of broader related areas in HR or Financial systems
                    • +
                    • Participate in Workday implementation activities including discovery, design, configuration, documentation, testing, and project review sessions related to data conversion activities
                    • +
                    • Facilitate data discovery workshops, downstream impact analyses and proactively manage stakeholder expectations
                    • +
                    • Lead projects of moderate to complex risk and data requirements; may lead end-to-end data conversion activities
                    • +
                    • Analyze and understand business and data requirements to develop complete business solutions (e.g. analysis of data models, entity relationship diagrams, data lifecycle management, governance, lineage, metadata and reporting elements)
                    • +
                    • Develop business requirements; design and implement complex business data information management frameworks
                    • +
                    • Apply automation and innovation on data platforms and on new development projects / initiatives
                    • +
                    • Conduct a range of data analyses, demonstrating your in-depth experience with very large datasets and big data technologies; assessing business information-related data requirements aligned to business needs and for specific data platforms, applications systems and servers
                    • +
                    • Partner and collaborate with business and technology partners to resolve data / application issues and ensure requirements delivery
                    • +
                    • Participate fully as a member of the project delivery team, support a positive work environment that promotes service to the business, quality and innovation and, ensure timely communication of issues/points of interest +
                    -

                    Qualifications:

                    +
                    +

                    +

                    Requirements

                    +
                    +

                    What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                      -
                    • Post-secondary degree in related field of study is preferred.
                    • -
                    • Knowledge of visualization techniques and concepts (e.g. PowerBI, Tableau).
                    • -
                    • Experience with programming languages (e.g. SQL, Python, SAS) and machine learning /deep learning algorithms/packages.
                    • -
                    • Experience in statistical analysis, data mining, and data cleansing / transformation.
                    • -
                    • Technical proficiency gained through education and/or business experience.
                    • -
                    • Verbal & written communication skills - In-depth.
                    • -
                    • Collaboration & team skills - In-depth.
                    • -
                    • Analytical and problem solving skills - In-depth.
                    • -
                    • Influence skills - In-depth.
                    • -
                    • Data driven decision making - In-depth.
                    • +
                    • Undergraduate degree or technical certificate
                    • +
                    • Five (5) or more years relevant experience implementing enterprise solutions with at least one full life cycle using Workday
                    • +
                    • Sound conceptual knowledge in your area of specialty
                    • +
                    • Fluent in one or two programming languages
                    • +
                    • Advanced analytical and problem-solving skills
                    • +
                    • Proficient knowledge of various data sources, tools and technologies used in preparing summaries/reports
                    • +
                    • In-depth knowledge of competitor and market trends
                    • +
                    • Proficient to analyze, organize and prioritize work while meeting multiple deadlines
                    • +
                    • Expertise in using analytical software tools, MS Office, data analysis methods and reporting techniques
                    • +
                    • Strong ability to work collaboratively and independently, communicate effectively (both speaking and writing), follow instructions/direction, and help building relationships across teams and functions
                    • +
                    • Act as a brand champion for our business area / function and TD, both internally and externally
                    +

                    -

                    Additional Job Description

                    +

                    Additional Information

                    +
                      +
                    • Experience working with Workday or Peoplesoft
                    • +
                    • Data Migration and Data Integration
                    • +

                    -

                    The Quantitative Analysis and Strategy (QAS) team works closely with our partners within Corporate Treasury i.e. Structural Market Risk, Liquidity & Funding and Portfolio Management teams, and our Lines of Business partners across the bank. The team works to identify and quantify risks and opportunities through analyzing and modeling origination, utilization, prepayment behavior, pricing sensitivities, market size and revenue opportunities. The analysis and modeling work in the areas of mortgage, home equity, C&I and CRE loans, consumer & commercial deposits, various securities including MBS, ABS, Muni bonds, etc. are instrumental in pricing, valuation, interest rate risk measurement and hedging, balance sheet management and optimization strategies.

                    -

                    -

                    The Senior Analyst, Quantitative Analysis and Strategy in Corporate Treasury is ideal for one who wants to work on developing, enhancing, implementing and maintaining quantitative models and analytics suites. They would do so by using conventional econometric and machine learning techniques, for the purposes of asset liability and interest rate risk management, customer analytics, profitability, and stress testing under various macro-economic scenarios. This involves analyzing large account-level and transaction-level data, articulating the problem statement, and specifying the most appropriate quantitative solution.

                    +

                    Hours

                    +
                    37.5

                    -

                    New grads with demonstrable problem solving and critical thinking skills will be considered.

                    -

                    -

                    -

                    We’re here to help

                    -

                    -

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    -

                    -

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    -

                    -

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    -

                    -

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    -

                    -

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    -
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Analyst--Quantitative-Analysis-and-Strategy_R230005853?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-04-10T17:17:02.237Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/212878377-senior-analyst-quantitative-analysis-and-strategy-at-bmo-financial-group,,expired,2023-04-06T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -19537311-e591-43ea-b77b-c3610e2722e6,206568606,RBC,"Manager, Risk Analytics – Counterparty Credit Risk Innovative Analytics ( 6 Months Contract)",on_site,"Toronto, ON, Canada",2023-03-20T17:16:02.542Z,"
                    -

                    Come Work with Us!

                    At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                    Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                    -

                    Job Title

                    Manager, Risk Analytics – Counterparty Credit Risk Innovative Analytics ( 6 Months Contract)

                    -

                    -

                    Job Description

                    -

                    -

                    What is the Opportunity?

                    -

                    -

                    Our team is focused on the design and deployment of capabilities that enable the end-to-end transformation of our Capital Markets’ Counterparty Credit Risk reporting and analytic metrics, building and leading with technologies that put advanced analytic and AI practices at the forefront.

                    -

                    -

                    We are a team of 30+ resilient, collaborative people with strong backgrounds in both risk management and data analytic, delivering trusted data and analytic capabilities to support top of the house Counterparty Credit Risk Analytic function for RBC Capital markets operations.

                    -

                    -

                    Our main goal is building a future-proof tech stack with modern, flexible architecture that is reusable across different internal channels. In this role, you will join a newly formed Advanced Analytic Team that embraces innovation and is excited to bring a fresh perspective into the design, enhancement and deployment of a state of the art risk analytic platform.

                    -

                    -

                    What will you do?

                    -

                    -

                    As the Manager in Innovative Analytics Team, you will play a key role in contributing to continuous research, design and delivery of an advanced multi-disciplined risk analytic platform within the RBC Capital Markets Counterparty Credit Risk Management Team.

                    -

                    -

                    Nurturing culture and facilitating learning and knowledge sharing will be second nature to you as well as applying your technical know-how to ensure that the Innovative Analytic team is on the leading edge of technical delivery practices. You’ll have the tools and support needed to achieve extraordinary results that make a significant impact extending beyond the boundaries of traditional technology roles. Ideas start here – and you will build great technology.

                    -

                    -

                    If you’re a hands-on technical expert with proven experience operating within high-performing teams, are continuously learning, and excited to collaborate with those around you—we have a spot for you on our team.

                    -

                    -
                    • Develop a thorough understanding of the current state of CCR analytic frameworks, end-to-end CCR metric generation processes and their connection with various upstream source systems.
                    -
                    • Contribute to the research, development and implementation of new mathematical models for calculating various CCR measures. Considerable amount of creative, innovative & analytical thinking and problem solving is required.
                    -
                    • Demonstrate exceptional communication skills (written and oral) by synthesizing key messages across distinct domains into a coherent action plan. -
                    -
                      -
                    • Leverage data analysis, querying and data exploration knowledge on CCR’s diverse number of data sources to perform statistical analysis, build machine learning models and deploy production-grade solutions for identifying insights and opportunities.
                    • -
                    • Become an expert in understanding CCR Innovative Analytics Team’s exiting libraries, leverage them to support delivery of new initiatives in collaboration with various CCR teams and lead KT sessions when required.
                    • -
                    • Partner with and support other teams as required; there are many teams, yet we are one team.
                    • +

                      Inclusiveness

                      +

                      At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                      +

                      +
                    ",,https://jobs.td.com/en-CA/jobs/15245253/senior-business-analyst-workday-peoplesoft-data-integration-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-22T15:58:03.028Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/226183791-senior-business-analyst-workday-peoplesoft-data-integration-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15245253/senior-business-analyst-workday-peoplesoft-data-integration-toronto-ca/,expired,2023-05-16T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +133dc2b6-11ce-4a90-9540-6296987c4290,218282686,Scotiabank,"First Nations/Metis/Inuit - Senior Analyst, Data & Analytics, Fully Remote Career Opportunity",on_site,Canada : Ontario : Toronto || Canada : Ontario : Kingston || Canada : Ontario : Ottawa || Canada : Ontario : Sudbury || Canada : Ontario : Thunder Bay,2023-04-24T17:22:02.486Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 177183

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    This posting is intended for Indigenous Peoples as a Special Program under the Human Rights Act and the Employment Equity Act. Indigenous Peoples include status, non-status First Nation, Métis and Inuit People under the Employment Equity Act within Canada. Scotiabank provides extended benefits to Indigenous employees aimed at supporting and promoting their culture.

                    +

                    +

                    Who we are:

                    +

                    +

                    The Global Risk Management, Retail Credit Risk manages the risks of lending credit to retail and small business customers, maximizing profitability and includes: Risk Technology, Retail Risk Secured Lending and Small Business, and Retail Risk Data and Analytics. This contains analyzing the effectiveness of risk strategies, performing portfolio trend analysis, and pulling, summarizing, and presenting data.

                    +

                    +

                    What you can expect:

                    +

                    +

                    Portfolio Monitoring

                    +
                    • Create and maintain reports and dashboards that provide actionable insights.
                    • Execute on data requests accurately within a timely manner.
                    • Owner of the end-to-end reporting process (from raw data in SQL tables to automated production-grade dashboards) and be the key point of contact.
                    • Improve monitoring on new accounts acquired through different channels and special programs. Track vintage performance and ensure a healthy growth of the portfolio.
                    -

                    -

                    What do you need to succeed?

                    -

                    -

                    Must-have

                    -
                    • Graduate degree in STEM fields; double-major in Economics/Finance/Business and STEM. Strong grasp of fundamentals in statistics (hypothesis testing, regression, inference, and time series) and one of the key risk pillars (market, credit or liquidity).
                    -
                      -
                    • Exceptional development expertise in Python programming writing production-grade code. Expertise with object-oriented and event-driven architecture (OOAD & SOLID principles) and Spark frameworks.
                    • -
                    • Strong data profiling, cleaning, engineering, mining and technical documentation skills; SQL/Data Stores: SQL, PostgreSQL, S3, HDFS and SparkQL.
                    • -
                    • Hands on experience with system configuration and DevOps tools (Jira, Git, GitHub and Confluence).
                    • -
                    • Self-starter with excellent communication skills, with proven ability to grow and mentor more junior technical professionals.
                    • +

                      +

                      Origination Strategies

                      +
                      • Analyze strategy effectiveness and proactively identify any emerging risks, make recommendations to support business growth while maintaining losses within risk appetite.
                      • Ensure all new approved credit is aligned with risk appetite and regulatory requirements and will optimize risk/return over the long term.
                      • Gain a deep understanding of various adjudication platforms and systems. Implement strategy changes across different technology platforms and channels.
                      • Identify opportunities to improve/test new risk strategies with building a robust and competitive portfolio in mind.
                      -

                      -

                      Nice-to-have

                      -
                        -
                      • Experience developing interactive and sophisticated dashboards that communicate complex data insights to a diverse set business stakeholders.
                      • -
                      • Familiarity with building dashboards using Plotly and Dash in Python is an asset.
                      • -
                      • Experience with Airflow, graph databases, Jupyter Notebooks, other ML-related technologies.
                      • -
                      • Familiarity running distributed ML workloads in cluster orchestrated environments.
                      • -
                      • Experience with HTML, CSS and Web Development would be an asset.
                      • +

                        +

                        Support Business Line Initiatives/Projects

                        +
                        • Collaborate and communicate effectively with business partners (product, operation, customer growth etc.) on new acquisition initiatives.
                        • Represent Risk’s point of view and liaise with stakeholders throughout the organization to listen actively, communicate, and explain risk measures clearly and as appropriate.
                        -

                        -

                        -

                        What’s in it for you?

                        -

                        -

                        We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                        -
                          -
                        • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.
                        • -
                        • Leaders who support your development through coaching and managing opportunities.
                        • -
                        • Ability to make a difference and lasting impact.
                        • -
                        • Work in a dynamic, collaborative, progressive, and high-performing team.
                        • -
                        • Opportunities to do challenging work.
                        • -
                        • Opportunities to building close relationships with clients.
                        • +

                          +

                          What we look for in successful candidates:

                          +

                          +
                          • A University degree in Mathematics, Computer Science, Engineering, Economics, Science, Finance or Business or 1 year of experience working in data analytics or data science
                          • Must be comfortable manipulating data
                          • Strong leadership, collaboration, and communication skills
                          • Results driven individual with high level of curiosity and ability to dive into details without losing sight of the big picture
                          • Exceptional organization skills to prioritize, manage, and implement a variety of competing initiatives, on a concurrent or staggered basis
                          • Willingness to learn SAS, SQL, R or Python
                          -

                          -

                          -

                          Job Summary

                          As the Manager in Innovative Analytics Team, you will play a key role in contributing to continuous research, design and delivery of an advanced multi-disciplined risk analytic platform within the RBC Capital Markets Counterparty Credit Risk Management Team.

                          Your responsibilities will not be limited to, leveraging data analysis, querying and data exploration knowledge on CCR’s diverse number of data sources to perform statistical analysis, build machine learning models and deploy production-grade solutions for identifying insights and opportunities

                          Address:

                          TORONTO, Ontario, Canada

                          City:

                          CAN-ON-TORONTO

                          Country:

                          Canada

                          Work hours/week:

                          37.5

                          Employment Type:

                          Full time

                          Platform:

                          Group Risk Management

                          Job Type:

                          Contract (Fixed Term)

                          Pay Type:

                          Salaried

                          Posted Date:

                          2023-03-16

                          Application Deadline:

                          2023-04-05
                          -

                          Inclusion and Equal Opportunity Employment

                          -

                          At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                          ​​​​​​​
                          We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                          -
                          -

                          Join our Talent Community

                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                          -
                    ",,https://jobs.rbc.com/ca/en/job/R-0000052963/Manager-Risk-Analytics-Counterparty-Credit-Risk-Innovative-Analytics-6-Months-Contract,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-04-06T17:21:02.651Z,False,0,7,28,https://talenthub.vectorinstitute.ai/jobs/206568606-manager-risk-analytics-counterparty-credit-risk-innovative-analytics-6-months-contract-at-rbc,,expired,2023-03-20T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, -a5565298-e197-4617-b691-b5dd4a459c36,210223563,Sun Life Financial,Senior Campaign Data Analyst,on_site,"Ontario, Canada",2023-03-30T17:41:02.360Z,"
                    -

                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                    -

                    -

                    -

                    Job Description:

                    -

                    -

                    Role Summary

                    -

                    Join a team that is transforming data and analytics at Sun Life Financial (SLF) Canada. Sun Life’s Client Experience Office (CXO) Analytics area is aggressively enhancing its campaign design and data integration capability with new tools, and most importantly, new talent.

                    -

                    As a member of the CXO Campaign Data Analytics team, you will play a pivotal role in working closely with our business partners to enable digital engagement, understand our client needs in new ways, and ultimately enable a leading client experience. You will leverage our vast data, to enable our business objectives by working on industry leading decision engines and delivering data driven real time decisions. In joining CXO Analytics, you will be part of one of the fastest growing areas of our business, representing the future of our business and our industry.

                    -

                    -

                    What will you do?

                    -

                    -

                    As a Senior Campaign Data Analyst your responsibilities will include:

                    +

                    +

                    #riskjobsontario

                    +

                    +

                    Location(s): Canada : Ontario : Toronto || Canada : Ontario : Kingston || Canada : Ontario : Ottawa || Canada : Ontario : Sudbury || Canada : Ontario : Thunder Bay

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-First-NationsMetisInuit-Senior-Analyst%2C-Data-&-Analytics%2C-Fully-Remote-Career-Opportunity-ON/569686317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-24T19:53:09.548Z,False,0,2,16,https://talenthub.vectorinstitute.ai/jobs/218282686-first-nations-metis-inuit-senior-analyst-data-analytics-fully-remote-career-opportunity-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-First-NationsMetisInuit-Senior-Analyst%2C-Data-&-Analytics%2C-Fully-Remote-Career-Opportunity-ON/569686317/,expired,2023-04-24T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +3939dfce-c368-4a45-a319-a3e1297d991b,219393204,Borealis AI,Senior Machine Learning Research Team Lead,on_site,"Ontario, Canada",2023-04-27T17:27:02.768Z,"
                    +

                    What\'s the opportunity?

                    +

                    Borealis AI is looking for a Senior Research Team Lead. The role includes managing a team of research team leads, researchers, and research engineers with the goal of delivering AI-based products for the financial services industry. In addition, you will lead initiatives that improve the effectiveness of the research organization.

                    +

                    Your responsibilities include:

                      -
                    • Plan, set up, and execute outbound and inbound digital campaigns and real time decision flows in accordance with the strategy and objectives of campaign stakeholders.

                    • -
                    • Work in partnership with internal stakeholders to leverage personas, customer journeys and data strategies to develop and implement marketing automation programs.

                    • -
                    • Gather, document, and help form business requirements, key performance indicators, and other functional and technical requirements.

                    • -
                    • Create high quality client experience through use of digital channels, interactive journeys and triggered engagements.

                    • -
                    • Support stakeholders and third parties throughout the campaign implementation process

                    • -
                    • Interact frequently with stakeholders including interaction with marketers, analysts, web developers, content and creative designers.

                    • -
                    • Work with a small number of data analysts, data engineers, data scientists to deliver on projects and initiatives that are complex.

                    • -
                    • Manage multiple campaigns simultaneously.

                    • -
                    • Perform extensive data profiling and develop deep understanding of the highly complex data landscape.

                    • -
                    • Deepen the organizations understanding of client and member level data and provide expert guidance on how best to leverage data to provide actionable business insight.

                    • +
                    • To lead a team of machine learning researchers delivering cutting edge AI technology to support AI-based products.
                    • +
                    • To partner with Borealis AI’s product and engineering teams to ensure the seamless delivery of these products.
                    • +
                    • To manage other research team leads and provide guidance and support.
                    • +
                    • To lead initiatives that improve the overall performance of the Borealis AI Research Team.
                    • +
                    • To help recruit, mentor and retain a high-performing research team.
                    +

                    You’re our ideal candidate if you have:

                      -
                    • Manage and execute on business data requests ensuring requests are aligned to business priorities and the request fulfillment meets the business needs.

                    • -
                    • Collaborates in an agile team to understand business objectives and develop campaign solutions that deliver best in class, engaging and highly relevant experiences.

                    • -
                    • Liaise with stakeholders across other teams to resolve discrepancies.

                    • -
                    • Manage and execute data requests ensuring requests are aligned to business priorities and the request fulfillment meets the business needs.

                    • -
                    • Support campaign target list generation, analyses, measurement, and reporting

                    • +
                    • A Ph.D. degree in Computer Science or a related technical field;
                    • +
                    • 5 years of experience leading machine learning research teams in a product-centric environment or equivalent experience;
                    • +
                    • A track record of successful people management including mentoring junior researchers and engineers, experienced high-performance researchers, and research managers;
                    • +
                    • Experience delivering high-impact machine learning products
                    • +
                    • Involvement across the research and development lifecycle, from prototyping to production, engaging with stakeholders to develop solutions that meet business needs;
                    • +
                    • Detailed knowledge of cutting edge machine learning techniques;
                    • +
                    • The ability to formulate and drive a research project independently;
                    • +
                    • Exceptional communication skills;
                    • +
                    • A history of high quality academic publications (e.g., NeurIPS, CVPR, AISTATS, ICLR, ICML etc.);
                    -

                    -

                    What will you need to succeed?

                    -
                      -
                    • Bachelor’s degree in a field with a strong technical core such as Computer Science, Software engineering, Business Analytics, Engineering Science, Statistics, Math, Business Commerce, or equivalent working experience

                    • -
                    • Over 4 years experience in campaign design, data management and a solid understanding of the data needs of marketing, campaigns, and business.

                    • -
                    • 3+ years experience in data analytical role: Analytical programming languages (e.g., SAS, SQL, Python).

                    • -
                    • Strong curiosity and drive for learning (formal & informal) to develop technical skills and awareness of business issues.

                    • -
                    • Excellent communication skills (both written and oral), combined with strong interpersonal and organizational skills.

                    • -
                    • -

                      The candidates must have relevant experience in the following areas:

                      +

                      What\'s in it for you?

                        -
                      • Knowledge of Inbound and Outbound campaigns

                      • -
                      • Knowledge on the data needs for analytics and campaigns

                      • -
                      • Communication and liaison experience between business, analytics, and IT

                      • -
                      -
                    • +
                    • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                    • +
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                    • +
                    • Ability to make a difference and lasting impact from a local-to-global scale.
                    +

                    About Borealis AI

                    +

                    Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                    +

                    Inclusion and Equal Opportunity Employment

                    +

                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                    +

                    +
                    ",,https://www.borealisai.com/careers/?gh_jid=6616707002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-05-28T03:07:02.611Z,False,0,3,34,https://talenthub.vectorinstitute.ai/jobs/219393204-senior-machine-learning-research-team-lead-at-borealis-ai,,expired,2023-04-27T17:27:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,PhD,New Posting, +54827dda-05ca-4a3e-b238-2191455da25c,229115589,NVIDIA,AI Solutions Architect,on_site,"Ontario, Canada",2023-05-25T16:15:03.082Z,"
                    +

                    NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Data Science focused Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL) and Data Science platforms. Exposure to inferencing technology (e.g., understanding of model compression techniques, model compilation or model serving) would be an added value. In our Solutions Architecture team, we work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence. We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone always thinking about artificial intelligence, someone who can maintain synergy in a fast paced, rapidly evolving field, someone able to coordinate efforts between corporate marketing, industry business development and engineering.

                    -

                    What will be nice to have?

                    +

                    You will be working with the latest HPC architectures coupled with the most advanced neural network models, changing the way people interact with technology. As a Solutions Architect, you will be the first line of technical expertise between NVIDIA and our customers. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key executives and managers to evangelize accelerated computing. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns.

                    +

                    +

                    What You’ll Be Doing:

                      -
                    • Related work experience in Campaign execution and operations, marketing automation, digital communications, database marketing and data analysis, decision engines (e.g., SAS RTDM)

                    • -
                    • General programming language knowledge and basic application design

                    • +
                    • Develop and demonstrate solutions based on NVIDIA’s state-of-the-art AI and ML software and hardware technologies to customers.

                    • +
                    • Work directly with key customers to understand their technology and provide the best solutions.

                    • +
                    • Perform in-depth analysis and optimization to ensure the best performance on GPU architecture systems. This includes support in optimization of both training and inference pipelines.

                    • +
                    • Partner with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations.

                    • +
                    • Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures.

                    -

                    What\'s In It For You?

                    +

                    What We Need to See:

                      -
                    • Great Place to Work® Certified in Canada and the US - 2022

                    • -
                    • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                    • -
                    • Named “Best Places to Work” by Glassdoor - 2021

                    • -
                    • Canada Award for Excellence for Mental Health at Work - 2021

                    • -
                    • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid #LI-Remote

                    • -
                    • Competitive salary and bonus structure influenced by market range data

                    • -
                    • Pension, stock and savings programs to help build and enhance your future financial security

                    • -
                    • A friendly, collaborative, and inclusive culture

                    • -
                    • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

                    • -
                    • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                    • -
                    • The opportunity to move along a variety of career paths with amazing networking potential

                    • +
                    • Excellent verbal, written communication, and technical presentation skills in Japanese. Business level English communication is also a requirement.

                    • +
                    • MS/PhD in Computer Science, Data Science, Electrical/Computer, or equivalent experience Engineering, Physics, Mathematics, other Engineering fields

                    • +
                    • 3+ years of academic and/or industry experience in fields related to machine learning, deep learning and/or data science.

                    • +
                    • You are excited to work with multiple levels and teams across organizations (Engineering, Product, Sales and Marketing team)

                    • +
                    • You are a self-starter with attitude for growth, passion for continuous learning and sharing findings across the team.

                    -

                    The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                    -

                    -

                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                    -

                    -

                    Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                    -

                    -

                    At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                    -

                    -

                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                    -

                    -

                    Salary Range:

                    74,100/74 100 - 120,800/120 800

                    -

                    Job Category:

                    Advanced Analytics

                    -

                    Posting End Date:

                    16/04/2023
                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Campaign-Data-Analyst_JR00077871?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-04-13T17:46:03.157Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/210223563-senior-campaign-data-analyst-at-sun-life-financial,,expired,2023-03-30T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -f24a634f-0d1f-4bd1-af00-eceea258065e,212878376,BMO Financial Group,Process & Data Specialist,on_site,"Ontario, Canada",2023-04-06T17:12:03.396Z,"
                    -

                    Application Deadline:

                    05/04/2023

                    -

                    -

                    Address:

                    100 King Street West

                    -

                    -

                    Job Family Group:

                    Data Analytics & Reporting

                    -

                    -

                    -

                    -

                    Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                    +

                    Ways to Stand Out from The Crowd:

                      -
                    • Builds effective relationships with internal/external stakeholders.
                    • -
                    • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                    • -
                    • Designs, develops, and implements innovative analytical solutions.
                    • -
                    • Designs and produces regular and ad-hoc reports, and dashboards.
                    • -
                    • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                    • -
                    • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                    • -
                    • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                    • -
                    • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                    • -
                    • Designs, develops, and implements innovative analytical solutions.
                    • -
                    • Designs and produces regular and ad-hoc reports, and dashboards.
                    • -
                    • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                    • -
                    • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • -
                    • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                    • -
                    • Analyzes data and information to provide subject-matter insights and recommendations.
                    • -
                    • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                    • -
                    • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                    • -
                    • Builds effective relationships with internal/external stakeholders.
                    • -
                    • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                    • -
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                    • -
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • -
                    • Works independently on a range of complex tasks, which may include unique situations.
                    • -
                    • Broader work or accountabilities may be assigned as needed.

                      Qualifications:

                      -
                    • -
                    • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                    • -
                    • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Very good.
                    • -
                    • Technical proficiency gained through education and/or business experience.
                    • -
                    • Verbal & written communication skills - In-depth.
                    • -
                    • Collaboration & team skills - In-depth.
                    • -
                    • Analytical and problem solving skills - In-depth.
                    • -
                    • Influence skills - In-depth.
                    • -
                    • Data driven decision making - In-depth.
                    • +
                    • Experience running large scale distributed DL training.

                    • +
                    • Background with working with larger transformer-based architectures.

                    • +
                    • Experience using DevOps technologies such as Docker, Kubernetes, Singularity, etc.

                    • +
                    • Understanding of HPC systems: data center design, high speed interconnect InfiniBand, cluster storage and scheduling related design and/or management experience.

                    -

                    We’re here to help

                    -

                    -

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    -

                    -

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    -

                    -

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    -

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    -

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    -
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Process---Data-Specialist_R230006303?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-04-13T21:38:00.000Z,False,0,2,14,https://talenthub.vectorinstitute.ai/jobs/212878376-process-data-specialist-at-bmo-financial-group,,expired,2023-04-06T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -a94f82c0-4be8-4b6e-8415-f52086aef09d,207763647,Scotiabank,"Manager, Data Platforms Risk & Audit Management",on_site,Canada : Ontario : Toronto,2023-03-23T17:22:02.967Z,"

                    -

                    -

                    -

                    -

                    Requisition ID: 175932

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    -

                    Purpose:

                    -

                    -

                    The Data Platform Management team is looking for a Manager, Data Platforms Risk & Audit Management to lead the team’s risk management and audit remediation activities. Working with the Data Office, technology partners and risk and audit stakeholder, this role will be responsible for ensuring alignment between our data platform strategy and roadmaps with committed audit deliverables and for leading the design and execution of a risk and audit management program.

                    -

                    -

                    The selected candidate will play a crucial part in defining and implementing a Data Risk and Control Framework and its associated processes for Data Risk identification, monitoring and reporting, partnering with various businesses and functions to strengthen CID&A’s Risk Management practices.

                    +
                    ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Japan-Tokyo/AI-Solutions-Architect_JR1965947,feed-importer@jobboard.io,,,,2023-05-29T16:20:04.309Z,False,0,8,28,https://talenthub.vectorinstitute.ai/jobs/229115589-ai-solutions-architect-at-nvidia,,expired,2023-05-25T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Product Development),Mid-Senior Level,Masters Degree,New Posting, +4e635252-d4ea-48d8-bcb6-445270c9cd25,226183738,Scotiabank,"Manager, Non-Pre Approval Originations (Data Analytics)",on_site,Canada : Ontario : Toronto,2023-05-16T15:52:06.263Z,"

                    -


                    Accountabilities:

                    -

                    • Develop and execute a framework for risk and audit issues management, including the creation of a risk and audit issue registry for data platforms.
                    • Track risk and audit remediation tasks and ensure they are being addressed in a timely and effective manner.
                    • Coordinate issue remediation activities with and drive a consistent engagement from issue owners and stakeholders across the organization.
                    • Provide subject matter expertise and act as the primary point of contact for risk and audit management activities.
                    • Support and maintain Data Platforms risk and audit related documentation and tools
                    • Manage follow-ups on the new findings raised from regulatory and internal divisional audits to ensure all deliverables are up-to-date and properly documented.
                    • Assess risks, identify key controls, and document appropriate risk mitigation plans to execute on audit deliverables. Applicants should be able to identify control gaps effectively and efficiently, as well as summarize and clear findings with senior stakeholders.
                    • Ensure data platform roadmaps are in alignment with audit commitments and include solutions to address identified risks.
                    • Support Issue Owners in defining Management Action Plans in response to new audit findings.
                    • Communicate risk and audit issues to executive leadership and provide insights and recommendations for risk management strategies.
                    • Collaborate with cross-functional teams to ensure alignment and consistency in risk management practices.

                    -

                    What we're looking for:

                    +

                    Requisition ID: 176519

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    • Experience auditing design and operating effectiveness of data controls frameworks in large scale organizations or an experienced IT Risk professional with an interest and desire to expand into data controls framework.
                    • The ability to effectively manage senior stakeholder relationships, building credibility and trust, demonstrating strong communication, technology and auditing skills and business understanding to effectively influence and negotiate with stakeholders.
                    • Experience managing large projects in complex operational environments and working with multiple stakeholders across the organization.
                    • Ability to independently perform and manage risk and controls assessments, end-to-end, and ability to effectively collaborate with audit teams and stakeholders.
                    • Strong communications skills to facilitate meetings with various stakeholders, communicate ambiguous topics in a structured manner and deliver presentations/demos.
                    • Attention to details, high standards for quality.

                    -


                    It would be nice if you had...

                    +

                    Purpose of Job:

                    -

                    • Experience in IT audit, cloud implementations and data migrations.
                    • Knowledge of Google Cloud Platform data capabilities.
                    • Experience auditing business applications including application controls, access, and security administration.
                    • Experience of data analytics and data visualization would be highly desirable: the ability to utilise and analyse data to highlight control gaps and areas for improvement would be of benefit.
                    • Prior experience with Data Management projects such as Data Governance, Data Quality, Master Data Management, Reference Data Management, Metadata Management; Hands-on experience defining and testing data controls.
                    • Excellent problem-solving skills, ability to see the big picture with high attention to critical details.
                    • Bilingual in Spanish would be an asset.

                    +

                    The Manager, Non-Pre-Approval Originations will develop and monitor credit risk origination strategies, policies, and processes in order to optimize risk/return for credit cards, unsecured lines of credit, unsecured installment loans and over drafts for the Canadian retail portfolio.

                    +

                    The manager will use in-depth portfolio analytics to optimize approval/decline decision criteria, automation decision, and limit assignment strategies for New and Existing customers, leveraging champion/challenger capabilities to confirm assumptions, learn about shifts in consumer credit behavior, and identify risks/opportunities that will impact the Risk Appetite Framework. These tasks will be accomplished leveraging extensive consumer data, credit risk and lending business expertise and advanced analytics techniques including machine learning. The person must have strong communication skills to propose changes to senior management and collaborate with risk partners including Product, Operations, and Technology.

                    +

                    This position requires technical expertise including experience with risk technologies origination and various testing methods to lead strategy and policy implementation with minimal defect, as well as a deep understanding of credit bureau information.

                    +

                    +

                    Job Responsibilities:

                    -


                    Requirements & Qualifications:

                    +

                    Origination Strategies

                    +
                    • Develop credit risk origination strategies and policies for the Canadian unsecured lending, with goal of using observational decision models to approve credit and set customer credit exposure.
                    • Ensure all new approved credit is aligned with risk appetite and regulatory requirements and will optimize risk/return over the long term.
                    • Lead successful implementation of strategy changes across different technology platforms and channels. Promote lean adjudication decision design.
                    • Identify opportunities to improve/examine new risk strategies with building a robust and competitive portfolio in mind.
                    • +
                    +

                    +

                    Portfolio Monitoring

                    +
                    • Improve and maintain monthly/weekly performance monitoring on new accounts acquired through different channels and special programs. Owner of the end-to-end reporting process (from raw data in SQL tables to automated production-grade dashboards).
                    • Assess strategy effectiveness and proactively identify if any segments are or will impact provisioning estimates as vintages mature.
                    • +
                    +

                    +

                    Support Business Line Initiatives/Projects

                    +
                    • Ensure all business line judicious priorities (i.e. growth, new product launches, new channels, new processes, new business line acquisitions) are consistent with Risk Appetite Framework.
                    • Represent Risk’s point of view and liaise with stakeholders throughout the organization to listen actively, speak, and explain risk measures clearly and as appropriate.
                    • Bring innovative solutions to Projects/programs that are consistent with the Bank’s customer/business objectives and risk guardrails
                    • +

                    -

                    • Post-Secondary education completed. Advanced degree preferred but not mandatory
                    • 5+ years of experience in data management, data governance, internal control, risk management, compliance, audit and/or related areas
                    • Knowledge of database platforms, ETLs and reporting/BI tools preferred

                    -

                    +

                    Job Requirements:

                    +
                    • A minimum of 3-5 years with an organization in the risk management or analytics field, with rigorous logical thinking and solid understanding of credit principles.
                    • Prior experience in a retail lending environment or credit risk management is an asset.
                    • Strong knowledge designing strategies that impact organization’s P&L.
                    • Proficiency in programing and database (SAS/Enterprise Miner or similar statistical software including the ability to apply advanced statistical techniques, SQL, R, Python).
                    • Able to translate data into digestible dashboards and business insights (PowerBI, Tableau, PowerApp).
                    • Ability to work effectively within a team, able to multi-task and prioritize.
                    • Excellent communication and written skills complemented with solid deductive reasoning, sound judgement, and creativity.
                    • Bachelor’s degree or higher or equivalent work experience;
                    • +

                    -

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Platforms-Risk-&-Audit-Management-ON-M5H1H1/568814817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-13T17:27:03.462Z,False,0,2,18,https://talenthub.vectorinstitute.ai/jobs/207763647-manager-data-platforms-risk-audit-management-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Platforms-Risk-&-Audit-Management-ON-M5H1H1/568814817/,expired,2023-03-23T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -0b02bd55-548f-4915-aa08-e727ae3c464f,212880714,TD Bank Group,"Senior Analyst, Campaign Analytics & Insights",on_site,"Toronto, ON",2023-04-06T17:24:03.168Z,"
                    -

                    Company Overview

                    -
                    -

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    -

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    -
                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Non-Pre-Approval-Originations-%28Data-Analytics%29-ON-M5C2W1/569312017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-29T15:57:04.280Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/226183738-manager-non-pre-approval-originations-data-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Non-Pre-Approval-Originations-%28Data-Analytics%29-ON-M5C2W1/569312017/,expired,2023-05-16T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +a03ecd24-8ba2-432b-ae28-1b30c9047b0e,226981525,CIBC,"Director, Treasury Quantitative Analytics",on_site,"Ontario, Canada",2023-05-18T15:32:02.338Z,"
                    +

                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                    -

                    Department Overview

                    -
                    -Department Overview
                    The Marketing Delivery team is a central source of internal and external consumer insights and data analytics which supports both corporate and business unit strategies for TD Bank Financial Group Canada and TD Bank, America’s Most Convenient Bank.
                    The Marketing Delivery team mission is to be influential change agents and consumer advocates to help deliver the better bank and to drive shareholder return through optimizing the impact of marketing. We do this by delivering hindsight (what happened), insight (why), and foresight (future actions) on how to best reach consumers, who to target, what to say, and build intelligence on the market and competitive landscape. The group seeks to deliver excellence in analytics and insights to support short-term business success as well as long-term strategy of the bank.
                    The Marketing Delivery team brings together a diverse range of technical and business expertise including market research, business analytics, data science and modelling, business intelligence, data strategy and governance, data management, campaign targeting and delivery, and visualization.
                    +

                    At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                    -

                    Job Description

                    -

                    The successful candidate will be responsible for Campaign Analytics within the broader Marketing Analytics group. If you are driven by understanding data and how we can help our LOB reach the best customers and continuing to challenge the “status quo” to make our campaigns and processes better, then this is the role for you.
                    Success in this role will be achieved by:
                    1. Translating key business objectives into insight rich experiments that drive marketing ROI
                    2. Ensuring execution (i.e., list creation) is done efficiently and with excellence
                    3. Designing campaign results can be actioned by providing high value campaign reporting
                    4. Work in a consultative role to provide “value-added” insights in the form of analysis, interpretation and advice of campaign reporting
                    5. Your success will be predicated on your ability to forge strong partnerships, communicate effectively, deliver on-time, and continuously strive for increased efficiency.
                    Responsibilities
                    · Design/execute/measure high impact direct to consumer marketing experiments
                    · Continuously improve campaign design and delivery by leveraging any and all analytical tools/techniques at your disposal
                    · Execute with excellence
                    · Manage your project pipeline to ensure agreed upon timelines can be met
                    · Proactively provide analytical guidance to key stakeholders, based on deep understanding of the businesses, to understand and enhance marketing ROI
                    · Maintain a culture of risk management and control, supported by effective processes and sound infrastructure

                    +

                    To learn more about CIBC, please visit CIBC.com

                    -

                    Requirements

                    -
                    -

                    Required Skillset
                    · Familiarity with direct marketing principles (Predictive Models, Experiment Design, A/B testing, Sample Size calculations, Net Performance Measurements, etc.)
                    · Good knowledge of everyday banking products and transactions; Mutual Funds, Investment Products, Savings, GICs and registered banking products
                    · Technical and detail oriented
                    · Knowledge of how campaigns are created by leveraging customer data from internal data warehouses through the use of programming tools such as Unica, SAS, SQL and/or Python/Pyspark
                    · A project management mindset to help deliver on time to specifications
                    · Team player while able to work independently
                    · Pragmatic decision maker blending a mix of intellect, experience and street smarts
                    · A profit driven mindset

                    -

                    Job Requirements
                    · 1-2+ years of relevant experience in a direct marketing, consulting, analytics, or agency-side role in financial services/telecom (or other high volume direct marketing industries)
                    · Significant experience with IBM Campaign (Unica)
                    · Knowledge of SQL, Python/PySpark; knowledge of databases and data structures; knowledge of vendors and file format requirements
                    · Experience designing and executing successful direct marketing experiments, including channel, A/B, Creative/Copy test etc…
                    · Familiarity with concepts such as “next best offer” and “always-on” an asset
                    · Degree in business, science, statistics, engineering, or other quantitative discipline
                    · Track record of delivering successful initiatives on time and on budget

                    -
                    +

                    Job Description

                    -

                    Hours

                    -
                    37.5
                    +

                    What You’ll Be Doing

                    -

                    Inclusiveness

                    -

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    +

                    Treasury Analytics supports the senior Treasury leadership team in establishing the analytical and systems framework to measure, model, and optimize retail product risks and customer behavior. This support consists of pricing new and existing retail banking products, forecasting P/L, and transfer pricing the interest-rate and optionality risk from retail SBU’s into Treasury for hedging. Treasury Analytics also manages the customer behavior risk to optimally maintain minimal customer behavior risk in the Canadian Retail Balance Sheet.

                    -
                    ",,https://jobs.td.com/en-CA/jobs/18012596/senior-analyst-campaign-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-13T17:29:06.137Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/212880714-senior-analyst-campaign-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18012596/senior-analyst-campaign-analytics-insights-toronto-ca/,expired,2023-04-06T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -38eeafa2-4ab7-48a1-81a9-3a8fb83413ec,213973192,TD Bank Group,Sr. Machine Learning Engineer ML Engine(Layer 6),on_site,"Toronto, ON",2023-04-10T17:24:02.767Z,"
                    +

                    As the Director, Treasury Analytics, you will support Senior Directors to evolve and expand the mandate of Treasury Analytics, providing strategy and leading the management of individual cashflow modeling programs. You will drive insights, identify inherent risk drivers of consumer products and relate relate modeling risk specifications back to the business. This requires the ability to think critically, dive into the underlying mechananics of the specific problems and translate complex concepts into program enhancements and specification to Technology for development. This is a high visibility role where the Director must effectively communicate complex problems and solutions to senior treasury executives and LOB.

                    +

                    +

                    Additionally, you will maintain/enhance the analytics infrastructure developed in Treasury Analytics used to conduct analysis of how consumer behavior affects retail product cash-flows and the use of embedded options; to assist in developing business requirements; to assist in appling advanced statistical models and financial engineering techniques to quantify and ensure mimimal consumer behaviour risk. You will also assist in implementing/applying advanced analytics for optimization, reporting, P/L decomp and back-testing, and risk factor simulation and to interpret and explain any resulting output. This is a unique opportunity that involves leadership and development of the Treasury Analytics functions and expansion of mandates.

                    +

                    +

                    At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                    +

                    +

                    How You’ll Succeed

                    +
                      +
                    • Management and Enhancement of Cash-Flow Modeling Books - Leadership role to specify and model the retail risk representation in the cashflow modeling book (CFMB). This includes working with the LOB to understand any behavioural changes and strategic thinking to evolve the program to effectively model and hedge risk. Liase with Treasury CFO group to interpret and explain cash-flow modeling P/L variability. Enhancing PnL decomposition and signing off on daily cash-flow modeling P/L.

                    • +
                    • Financial/Derivative Analytics - Ensure pricing and risk analytics capture all hedge-able risks as is practical. This will include work to prototype pricing and hedge of fixed income derivatives. Maintain/Develop analytics/methodologies for transfer pricing new retail products, assess new and existing retail product profitability, and cash-flow modeling book.

                    • +
                    • Consumer Behavior Analytics - Apply customer behaviour calibration techniques for Treasury Analytics’ parameter review. Incorporate consumer behavior models into the funds transfer pricing and hedging processes. Collaborate in the development, continuous improvement and ongoing expansion of an analytics library with appropriate tools, models and techniques for modeling of customer behaviour and interest rate risks.

                    • +
                    • Systems and Support (Infrastructure) - Lead development and implementation of various strategic business initiatives. This includes liaise with various groups within CIBC to explain methodologies, and procedures developed within Treasury Analytics to assess analytic/data requirements for future business activities and resolve any issues which arise. Lead the maintenance of pricing, risk and mathematical analytics library supporting integration across all Treasury systems that are used for Bank-wide benchmarking to validate pricing or risk. This will ensure consistency of risk measures across different risk platforms and measures and mitigate model risk.

                    • +
                    • Quantitative Analysis - Lead the implementation of sophisticated mathematical modeling, processes or algorithms to conduct analysis. Ensure operational effectiveness to deliver analytics capabilities, ensuring that outputs are correct and reproducible, and proper documentation to explain methods.

                    • +
                    +

                    +

                    Who You Are

                    +
                      +
                    • You can demonstrate experience. In ALM, Product Analytics, and Risk Management with a bank and/or other financial institution. You have strong work experience in applied mathematical, quantitative analytics, statistical, or stochastic modeling. Strong system and quantitative programming skills using C/C++/Python/R/SQL or high-level languages. Experience in working with banking retail products such as commitments, mortgages or GICs.

                    • +
                    • It’s an asset. Experience in quantitative analytics with a bank and/or other financial institution in areas of valuation, hedging and risk measurement is a strong asset. Exposure to valuation and risk metrics of various interest rate derivatives will be an asset.

                    • +
                    • You can demonstrate knowledge. In financial economics, financial mathematics such as fixed income theory, statistics, treasury processes, risk management and balance sheet modeling techniques. You have strong theoretical understanding of financial economics, financial mathematics, statistics, risk management and option modeling techniques. Ability to express modeling insights with an aptitude for explaining PnL and risk drivers. Experience in advanced GLM (including Cox regression), panel time series and model selection.

                    • +
                    • You have a degree/diploma. Masters/Doctoral degree in mathematics, computer science, quantitative finance, engineering, statistics and/or related technical subject.

                    • +
                    • You’re goal oriented. You’re motivated by accomplishing your goals and delivering your best to make a difference.

                    • +
                    • You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way. Ability to express modeling insights with an aptitude for explaining PnL and risk drivers. Creative problem solver and strong analytical skills.

                    • +
                    • You\'re motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.

                    • +
                    • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                    • +
                    +

                    +

                    What CIBC Offers

                    +

                    +

                    At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                    +
                      +
                    • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                    • +
                    • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                    • +
                    • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                    • +
                    +

                    +

                    What you need to know

                    +
                      +
                    • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                    • +
                    • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                    • +
                    +

                    +

                    +

                    +

                    +

                    +

                    Job Location

                    161 Bay Street, 39th Floor

                    Employment Type

                    Regular

                    +

                    Weekly Hours

                    37.5

                    Skills

                    +

                    Asset and Liability Management (ALM), Behavior Modeling, C++ Programming Language, Communication, Critical Thinking, Financial Modeling, Fixed Income Valuation, Hedging, PL/SQL (Programming Language), Product Analytics, Python (Programming Language), Risk Management, R Programming, Treasury Management
                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Director--Treasury-Quantitative-Analytics_2304779?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-05-29T15:37:01.627Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/226981525-director-treasury-quantitative-analytics-at-cibc,,expired,2023-05-18T15:32:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, +8d7447f0-9c03-4898-887b-9a11024de1d4,230064448,Borealis AI,Machine Learning Researcher,on_site,"Ontario, Canada",2023-05-28T15:55:02.100Z,"
                    +
                    +

                    What\'s the opportunity?

                    +

                    As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                    +

                    Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                    +
                    +
                    +

                    Your responsibilities include:

                    +
                      +
                    • Developing novel AI solutions that facilitate impactful products;
                    • +
                    • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                    • +
                    • Working with the development team to transfer research work into production;
                    • +
                    • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                    • +
                    • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                    • +
                    +
                    +
                    +

                    You’re our ideal candidate if you have:

                    +
                      +
                    • A passion for solving open problems using data and algorithms;
                    • +
                    • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                    • +
                    • Ability to formulate and drive a research project independently without close supervision;
                    • +
                    • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                    • +
                    +
                    +
                    +

                    What’s in it for you?

                    +
                    +
                      +
                    • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                    • +
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                    • +
                    • Leaders who support your development through coaching and managing opportunities;
                    • +
                    • Ability to make a difference and lasting impact from a local-to-global scale.
                    • +
                    +

                    About Borealis AI

                    +
                    +
                    +

                    Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                    +

                    Inclusion and Equal Opportunity Employment

                    +

                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                    +
                    ",,https://www.borealisai.com/careers/?gh_jid=6645277002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-05-29T20:25:00.000Z,False,0,2,3,https://talenthub.vectorinstitute.ai/jobs/230064448-machine-learning-researcher-at-borealis-ai,,expired,2023-05-28T15:55:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, +648d2312-3178-4b4c-a6ad-bd6d65ba0658,222290749,TD Bank Group,Data Analyst Intern/Co-op,on_site,"Toronto, ON",2023-05-04T17:24:03.542Z,"

                    Company Overview

                    -

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    -

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    +

                    All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                    +

                    Why TD?

                    +

                    TD’s Colleague Promise: A better you. A better us.

                    +

                    A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                    Department Overview

                    -Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence.

                    Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 – Visual Relationship (winner in 2019).
                    +

                    Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                    +

                    Our Co-op/Intern Programming is offered with select Co-op and Internship roles, and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                    +
                      +
                    • Leadership talks with key Leaders from across the organization

                    • +
                    • Lunch and Learns on topics such as Innovation

                    • +
                    • Diversity and Inclusion and Personal Branding and so much more

                    • +
                    +

                    Job Description

                    -The goal of the ML Engine team is to enable training and deploying robust and high-performing models by providing a solid foundation and allowing for fast iteration. We are looking for experienced Senior Machine Learning Engineers (engineering lead) who have worked under tight deadlines and guided teams towards successful deliveries. The ideal candidate is a master of coding and system design with track record of technical leadership. They are experts in managing complex requirements and working with big data.

                    -

                    The candidate will be the go-to person for the machine learning engine. They will lead efforts of members on the ML Frameworks team shipping core engine from 0 to 1, which will be used across the Bank. The candidate will interact with machine learning scientists, MLOps teams to develop systems that will satisfy the needs of machine learning projects.

                    -

                    What are your main responsibilities?

                    +

                    You will have the opportunity to work with one of our various teams within the DaaS group. From Day 1, you will be treated as an equal member of the team and given meaningful assignments to help us deliver improvements to our data platforms across multiple segments such as Core Banking, Business Banking, Insurance, Wealth, or Enterprise Platforms.

                    +

                    Job responsibilities for a junior Data Analyst may vary by area. This may include, but is not limited to the following:

                      -
                    • Own and ship a significant set of the ML engine.
                    • -
                    • Lead the design and implementation of the ML engine, including data pipelines, feature pipelines, model, inference, and production hand-off patterns.
                    • -
                    • Go-to person for machine learning engine at the bank.
                    • -
                    • Lead and mentor Machine Learning Engineers to ensure best engineering practices in our systems.
                    • +
                    • Work with business and technology partners to define, develop and document detailed business, data and system requirements.

                    • +
                    • Participate as a member of agile pod team focused on developing new capabilities, including agile ceremonies.

                    • +
                    • Collaborate with data engineers, product owners, quality engineers and other stakeholders to deliver an end-to-end capability from concept to production-deployment.

                    • +
                    • Have performed data analysis, profiling, clean-up, data wrangling and validation as part of University assignments.

                    • +
                    • Based on data analysis, provide recommendations for data remediation, improvements.

                    • +
                    • Participate in program/ system research, analysis, detailed design and problem resolution.

                    • +
                    • Respond to user enquiries on data platform, in a timely manner.

                    • +
                    • Troubleshoot and determine root cause and resolution for application defects.

                    • +
                    • Apply Software Development Life Cycle (SDLC) and Project Management Methodology (PMLC) to complete specific tasks for projects.

                    • +
                    • Continuously enhance knowledge/expertise and keep up-to-date with leading-edge technologies trends/developments.

                    • +
                    • Develop expertise in data platform, infrastructure, data pipeline, analytical tools and design techniques that can contribute to effective solution development and delivery.

                    • +
                    • Good communication, interpersonal, collaboration skills to work in an agile cross-functional team, with different stakeholders.

                    • +
                    • Have owned, delivered a project assignment in University starting from Inception, Initiation, Execution until Implementation. Project outcome reviewed and measured as expected.

                    Requirements

                    -Must-Have:

                    -

                    Bsc+ in Computer Science, Math, Physics, or similar
                    5+ years of extensive programming experience, at least 3 years of experience in ML systems.
                    3+ years experience of building machine learning systems.
                    Expert with Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Spark, Cassandra, Kafka, Elasticsearch.
                    Experience with Big Data solutions developed in large cloud computing infrastructures such as Azure and AWS
                    You value good software design and sweat over details in code and API design.
                    You enjoy learning new technology and also educating others.
                    You take great personal pride in building robust and scalable software.
                    You strive to communicate clearly and with empathy.
                    You are highly accountable and have a strong sense of ownership.
                    Ability to do detailed code reviews and give thoughtful feedback.

                    -

                    Nice to have

                    -

                    Experience building a library or a framework.
                    Comfortable with statistics.
                    Knowledge of machine learning and deep learning.
                    Knowledge of distributed systems.

                    +
                    • Currently enrolled in a relevant technology programs, such as Computer Science, Engineering, Information Technology Management, Financial Analysis and Risk Management, Computing, etc.

                    +
                      +
                    • Strong communication and inter-personal skills with the ability to deliver message and ideas effectively to diverse audiences such as business, development, quality engineers and management stakeholders.

                    • +
                    • A thirst for constantly exploring emerging technology such as Azure, python, Talend, Tableau, Informatica.

                    • +
                    • Familiarity with Jira and Confluence.

                    • +
                    • Proficient with Excel, Visio, SQL, some reporting and analytical tools.

                    • +
                    • Understands Data Modeling concepts.

                    • +
                    • Able to manage multiple priorities and work independently, as well as part of a team.

                    • +
                    • Experience with technology project delivery and agile delivery methodology would be an asset.

                    • +
                    • Some prior experience with creating visualization such as Process and Data Flows.

                    • +
                    • Good documentation skill; can produce data mapping between Source and Target Systems. Capture User Stories and Use Cases.

                    • +
                    • Hands-on programming experience would be an asset, which could include familiarity and strength in any of the following: C, C++, C#, Object C, Java, Java Script, Python, NodeJS, SQL, J2EE, Web Services, DB2, MS SQL.

                    • +

                    Additional Information

                    -
                    #LI-Hybrid
                    +
                    +

                    Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.

                    +

                    Early Talent Requirements

                    +
                      +
                    • This position is a 4-month work term and will commence September 5th, 2023 – December 22nd, 2023.

                    • +
                    • Applications must include a resume (maximum of 2 pages).

                    • +
                    • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.

                    • +
                    • TD requires employees to reside in Canada where the role is located. Successful candidates are expected to arrange relocation to one of our Toronto offices in a hybrid model (1-3 days per week in office).

                    • +
                    +

                    Assigned Line of Business Requirements

                    +
                    • Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting

                    +

                    -

                    Hours

                    -
                    37.5
                    +

                    Start Date

                    +
                    – Fall

                    Inclusiveness

                    -
                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.
                    +

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -
                    ",,https://jobs.td.com/en-CA/jobs/17734671/sr-machine-learning-engineer-ml-engine-layer-6-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-13T17:29:06.137Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/213973192-sr-machine-learning-engineer-ml-engine-layer-6-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17734671/sr-machine-learning-engineer-ml-engine-layer-6-toronto-ca/,expired,2023-04-10T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -668ac7b4-213e-4576-a30c-83d942f98107,210219315,RBC,"Manager, Enterprise Partnerships Analytics",on_site,"Toronto, ON, Canada",2023-03-30T17:16:02.105Z,"
                    -

                    Come Work with Us!

                    At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                    Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                    -

                    Job Title

                    Manager, Enterprise Partnerships Analytics

                    -

                    -

                    Job Description

                    -

                    -

                    What is the opportunity?

                    -

                    In this role, you will drive the analytics agenda that support merchant partnerships and engagement in the Loyalty Portfolio Management & Analytics (LPM&A) organization. You will leverage extensive datasets across multiple data sources as well as advanced analytical tools to deliver meaningful analysis and insights that inform business decisions.

                    -

                    -

                    What will you do?

                    -
                      -
                    • Responsible for addressing the analytics needs of internal stakeholders and external partners including creating business cases and developing performance reporting and dashboarding.

                    • -
                    • Lead internal stakeholder consultation end-to-end from assessing data needs, extracting data, analysis, translating data into insights and developing actionable recommendations.

                    • -
                    • Collaborate with cross-functional teams such as Business Development, Relationship Management, Offers Execution to drive project outcomes.

                    • -
                    • Identify opportunities for data automation, templating and process improvements.

                    • -
                    • Project manage and prioritize requests independently, escalate where appropriate.

                    • -
                    • Work through and reduce ambiguity.

                    • -
                    • Demonstrate maturity in business judgment and decision making.

                    • -
                    -

                    -

                    -

                    What do you need to succeed?

                    -
                      -
                    • Proficiency in Excel and PowerPoint

                    • -
                    • Proficiency and hands-on experience with SQL, SAS, Tableau, ThinkCell

                    • -
                    • Results oriented with the ability to produce high quality output that meets project timelines

                    • -
                    • Translate data into actionable insights and recommendations

                    • -
                    • Strong communication and presentation skills, effectively explain complex analytics to a variety of audiences

                    • -
                    • Ability to work with large and complex data sets

                    • -
                    • High level of accuracy and attention to detail

                    • -
                    • Work in a fast pace and matrix organization with a focus on managing multiple priorities

                    • -
                    -

                    -

                    -

                    What’s in it for you?

                    -

                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                    -
                      -
                    • Ability to make a difference and lasting impact

                    • -
                    • Work in a dynamic, collaborative, progressive, and high-performing team

                    • -
                    • Opportunities to do challenging work

                    • -
                    -

                    -

                    -

                    -

                    Job Summary

                    -

                    Address:

                    TORONTO, Ontario, Canada

                    City:

                    CAN-ON-TORONTO

                    Country:

                    Canada

                    Work hours/week:

                    37.5

                    Employment Type:

                    Full time

                    Platform:

                    Personal and Commercial Banking

                    Job Type:

                    Regular

                    Pay Type:

                    Salaried

                    Posted Date:

                    2023-03-29

                    Application Deadline:

                    2023-04-12
                    -

                    Inclusion and Equal Opportunity Employment

                    -

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    -
                    -

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                    -
                    ",,https://jobs.rbc.com/ca/en/job/R-0000054265/Manager-Enterprise-Partnerships-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-04-13T17:21:07.033Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/210219315-manager-enterprise-partnerships-analytics-at-rbc,,expired,2023-03-30T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,No Degree,New Posting, -ffc39d6e-149c-4d40-b921-9348cf97bc8c,213687954,Scotiabank,"Senior Engineer, Analytics DevOps",on_site,Canada : Ontario : Toronto,2023-04-09T17:22:02.540Z,"

                    -

                    -

                    -

                    -

                    Requisition ID: 175354

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    -

                    Purpose:

                    -


                    As a Analytics DevOps Senior Engineer, your responsibility will be to write scripts to manage and automate MLOps and DevOps for analytics deployment of software releases. You will evaluate the latest MLOps solutions to optimize our MLOps platform.

                    -

                    -

                    Accountabilities:

                    -


                    • Design, create and deliver a range of MLOPs Build Automation and Deployment solutions on GCP.

                    -

                    • You will work as part of the team that manages and delivers Software solutions for analytics teams to deliver advanced analytics solutions.

                    -

                    • Automate and streamline our operations and processes. You`ll support building and maintaining tools for deployment, monitoring and operations.

                    -

                    • Design, automate, build and operate analytics enablement on GCP.

                    -

                    • Work with the existing Analytics team members to design and implement MLOps and data engineering solutions.

                    -

                    -


                    Requirements & Qualifications:

                    -

                    -

                    • Strong knowledge of Python required.
                    • Hands-on with Spark and pySpark.
                    • Passion to continual learn new and changing technologies.
                    • Strong self-leaning skills as we work with many new technologies.
                    • Highly proficient working with business stakeholders and project teams to deliver solutions.
                    • GCP experience a strong asset.
                    • Working knowledge of docker.
                    • Modern DevOps practices .
                    • Previous experience with Git and Gitflow.
                    • Comfortable presenting to large groups.

                    -

                    -

                    -

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Senior-Engineer%2C-Analytics-DevOps-ON-M5H1H1/568444017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-13T17:27:03.462Z,False,0,2,3,https://talenthub.vectorinstitute.ai/jobs/213687954-senior-engineer-analytics-devops-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Engineer%2C-Analytics-DevOps-ON-M5H1H1/568444017/,expired,2023-04-09T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,No Degree,New Posting, -a87681b2-e514-4678-9d9a-eef6c6c94b50,213973183,TD Bank Group,Sr Business Insights Analyst,on_site,"Markham, ON",2023-04-10T17:24:01.777Z,"
                    -

                    Company Overview

                    -
                    -

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    -

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    -
                    +
                    ",,https://jobs.td.com/en-CA/jobs/18300637/data-analyst-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-25T20:58:00.000Z,False,0,8,39,https://talenthub.vectorinstitute.ai/jobs/222290749-data-analyst-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18300637/data-analyst-intern-co-op-toronto-ca/,expired,2023-05-04T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +a12bc77b-0f19-43ab-9995-861be20d908c,221075121,RBC,"Senior Manager, Data & Analytics, ESG Centre of Excellence, Internal Audit",on_site,"Toronto, ON, Canada",2023-05-01T17:16:02.171Z,"
                    +

                    Come Work with Us!

                    At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                    Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                    +

                    Job Title

                    Senior Manager, Data & Analytics, ESG Centre of Excellence, Internal Audit

                    -

                    Department Overview

                    -
                    -

                    What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                    -

                    We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                    -
                    +

                    Job Description

                    +

                    What is the Opportunity?

                    +

                    As part of the Environmental, Social, Governance Centre of Excellence (ESG COE) in RBC’s Internal Audit team, you will play a role in assessing how environmental and social (E&S) risks are being managed, and the effectiveness of related controls. You will assess the design and operating effectiveness of key climate and E&S risk-related controls and initiatives through testing and evaluating research, data analytics and insights. A significant focus of this role will be testing data and controls related to the calculation of RBC’s financed emissions across different asset classes within carbon-intensive sectors, and tracking progress on net-zero emissions reduction targets.

                    -

                    Job Description

                    -
                    -

                    -

                    About this Role

                    -

                    As an expert in data and analytics, you will provide in depth expertise, analytical interpretation, key insights and action items to your multi-functional business partners across the organization. Those insights will be brought to bear to enable informed and enabled business decisions enterprise wide or help to solve the increasingly complex business problems they face.

                    -

                    In this role, TD will look to as a thought leadership as well as a leader in your space, coaching, mentoring, empowering and educating your peers to collaborate and bring TD into the future of banking.

                    -

                    -

                    As a Senior Business Insights Analyst, you will:

                    +

                    The RBC CAE Group leverages a unique perspective— with a coordinated view across the entire business—to deliver valuable advice that not only gives assurance, but that illuminates a bigger picture, connects dots, builds best practices and broadens possibilities. We connect intelligence to protect and enable RBC.

                    +

                    +

                    What will you do?

                      -
                    • Apply understanding of respective business strategies to produce relevant and substantial data analysis to support business goals and objectives
                    • -
                    • Develop analysis to illustrate business trends and identify areas of business opportunities
                    • -
                    • Produce insights and recommend business actions to align with strategy and/or solve business problems
                    • -
                    • Provide seasoned specialized knowledge, advice and/or mentorship to various business and working partners
                    • -
                    • Execute on data requests accurately and within a timely manner
                    • -
                    • Represent functional area as an analytics & insights professional and key resource; build positive and productive working partnerships
                    • -
                    • Act as a bridge to translate business requirements to analytics and reporting needs for a given domain
                    • -
                    • Provides day-to-day support and delivery of analytics
                    • -
                    • Work independently as the senior analyst/subject matter expert and may coach and educate others
                    • -
                    • Considered an authority within a given area
                    • -
                    • Oversee and/or independently perform tasks from end to end
                    • +
                    • Source, assess, validate, and visualize data used for climate and social risk measurement, and work with the Director, ESG COE, and use this data to inform actionable steps in advising internal stakeholders on management and monitoring of E&S risk.
                    • +
                    • With a risk and controls-focused mindset, identify opportunities to assess and challenge E&S risk data processes and controls, and make recommendations for implementing improvements.
                    • +
                    • Assess data quality and results obtained from public and private data sources work with internal stakeholders to improve our climate risk measurement and management capabilities.
                    • +
                    • Work with diverse internal stakeholders across business lines and functions to share assessments of E&S risk data and insights, contribute to improving E&S risk management and controls, business strategy, and ESG and climate disclosures.
                    • +
                    • Assess RBC’s capabilities in measuring financed emissions, setting net-zero targets and delivering carbon accounting insights across the enterprise.
                    • +
                    • Contribute to and lead the development and delivery of presentations and reports.
                    • +
                    • Lead workstreams and collaborations across multiple teams in order to accomplish the above.
                    -

                    -

                    Requirements

                    -
                    -What can you bring to TD?

                    -

                    Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    +

                    Must have

                      -
                    • Undergraduate degree or technical certificate
                    • -
                    • Five (5) or more years relevant experience
                    • +
                    • Undergraduate degree in a quantitative discipline or similar.
                    • +
                    • Experience working in an analytics team, especially those tasked with solving difficult and/or vaguely-defined problems, and an advanced understanding of coding, programming and querying languages, including SQL and Python.
                    • +
                    • Experience developing presentations, visualizations and dashboards for executives and an interest in developing advanced analytical capabilities; excellent written and verbal communication skills.
                    • +
                    • Demonstrated ability in mathematical, statistical, financial or economic analyses on large, complex datasets and in translating data into business insights and storytelling.
                    • +
                    • A desire and proven ability to build new and innovative approaches to complex problems with minimal direction.
                    • +
                    • Commitment to quality and accuracy with a high level of attention to detail.
                    -

                    -

                    Additional Information

                    -
                    #tdcybersecurity #LI-Post
                    +

                    Nice to have

                    +
                      +
                    • Master of Management Analytics degree; CFA, CMA or CPA; audit or compliance experience. Knowledge of climate change science with experience in the development and use of climate and economic scenarios, models, projections and data; knowledge or familiarity with the climate risk and/or target setting guidance issued by PCAF, NZBA, TCFD, ISSB, and/or OSFI (B-15).
                    • +
                    • Experience with or interest in agile or design thinking methodologies or frameworks.
                    • +
                    • Knowledge and experience in quantitative model development, testing and validation.
                    • +

                    -

                    Hours

                    -
                    37.5

                    -

                    Inclusiveness

                    -

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    +

                    What’s in it for you?

                    +

                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                    +
                      +
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                    • +
                    • Leaders who support your development through coaching and managing opportunities
                    • +
                    • Work in a dynamic, collaborative, progressive, and high-performing team
                    • +
                    • A world-class training program in financial services
                    • +
                    • Opportunities to do challenging work
                    • +
                    • Access to a variety of job opportunities across business and geographies
                    • +

                    -
                    ",,https://jobs.td.com/en-CA/jobs/17997065/sr-business-insights-analyst-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-13T17:29:06.137Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/213973183-sr-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17997065/sr-business-insights-analyst-markham-ca/,expired,2023-04-10T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -7a9b2b7d-38aa-49a0-9d40-a67cfd9e85f4,204322630,BMO Financial Group,First Nations/Métis/Inuit Candidates - Personal & Business Banking Development Program,on_site,"Ontario, Canada",2023-03-13T17:12:02.916Z,"
                    -

                    Address:

                    100 King Street West

                    -

                    -

                    Job Family Group:

                    Data Analytics & Reporting

                    -

                    -

                    We invite all experienced and aspiring First Nations / Métis / Inuit professionals to apply to roles featured on BMO’s Indigenous Careers landing page, as well as all of those on BMO\'s Careers page.

                    -

                    -

                    Qualified First Nations / Métis / Inuit applicants applying through these postings will be considered for open job vacancies, where they exist, or added to our Indigenous Talent Network and matched to other upcoming opportunities.

                    -

                    -

                    This is part of BMO’s ongoing commitment to Indigenous applicants. Our recruitment team will reach out to those selected for further consideration.

                    -

                    -

                    -

                    Are you analytically inclined, digitally-savvy and motivated by the opportunity to innovate and deliver cutting edge products & solutions in Canada?

                    -

                    At BMO, we’re looking to change the way Canadians bank and you’ll get to drive that change – helping customers make real financial progress across the country. At the heart of this change in Canadian banking is product innovation, data & analytics, and superior risk management – as such, we’re excited to offer a 2-year rotational program designed to accelerate knowledge and personal development by building solid and in-depth understanding of how our Product, Data & Analytics, Risk and Collections business segments operate and interact to deliver results.  

                    -

                    Product Management: visualize, develop and improve products and services that form our customer offerings and overall experience; help BMO customers make real financial progress by offering differentiated product strategies, value propositions and marketing offers.

                    +

                    +

                    Job Summary

                    +

                    Address:

                    TORONTO, Ontario, Canada

                    City:

                    CAN-ON-TORONTO

                    Country:

                    Canada

                    Work hours/week:

                    37.5

                    Employment Type:

                    Full time

                    Platform:

                    Internal Audit

                    Job Type:

                    Regular

                    Pay Type:

                    Salaried

                    Posted Date:

                    2023-04-28

                    Application Deadline:

                    2023-05-13
                    +

                    Inclusion and Equal Opportunity Employment

                    +

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    +
                    +

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                    +
                    ",,https://jobs.rbc.com/ca/en/job/R-0000058521/Senior-Manager-Data-Analytics-ESG-Centre-of-Excellence-Internal-Audit,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-05-15T22:41:00.000Z,False,0,3,12,https://talenthub.vectorinstitute.ai/jobs/221075121-senior-manager-data-analytics-esg-centre-of-excellence-internal-audit-at-rbc,,expired,2023-05-01T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +9b97b95a-c0d0-4275-9a0b-34ad76f2a363,219397730,Clearpath,Software Developer (Data Analytics),on_site,"Ontario, Canada",2023-04-27T17:42:04.694Z,"

                    Description

                    +

                    Position: Software Developer (Data Analytics)
                    Location: Kitchener, ON/Remote - North America
                    Job Type: Full-Time Permanent
                    Experience: 2-5 Years of relevant Software Development related experience
                    Education: Post-Secondary degree or diploma in Computer Systems Technology or related field
                    Division: OTTO Motors

                    +

                    About OTTO™ Motors (Division of Clearpath Robotics)

                    +

                    OTTO™ Motors is a growing, disruptive company, making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self-driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit www.ottomotors.com.

                    +

                    About the Job

                    +

                    We are looking for a Software Developer to work on the Data Analytics team as part of the Fleet Software Group.

                    +

                    The Fleet Software Group is responsible for the design, development and support of the Fleet Manager and software applications that allow our users to interact with, monitor and support their fleets of OTTO Autonomous Vehicles. This involves participation in the entire product workflow, from customer-insight gathering, problem definition, solution proposals, application design, development, and support.

                    +

                    Reliable robot hardware needs reliable software, including Data Analytics. We are looking for a Software Developer who can bring their experience and enthusiasm to help us define, implement and deliver innovative solutions for our customers.

                    +

                    Primary Responsibilities

                    +
                      +
                    • Design and implement custom analytics software for collecting, transforming and utilizing data from our Robots and our Fleet Manager.
                    • +
                    • Prototype new analysis applications and tooling.
                    • +
                    • Design, develop and improve our data visualization tools.
                    • +
                    • Create documentation of system-level architectures and contribute to knowledge bases.
                    • +
                    • Participate in team code reviews and design reviews.
                    • +
                    • Troubleshoot our Data Analytics tooling to support Client Success, Field Services, and internal Test teams.
                    • +
                    • Own projects from concept to production including proposal, discussion, execution, testing, and support.
                    • +
                    • Work with technical and non-technical users to understand their data needs and how to address them.
                    • +
                    • Work on secure, scalable web applications for viewing analytics data.
                    • +
                    +

                    +

                    About You

                    +

                    You want to work for a fast-paced company that thinks big and dreams huge. You are driven, view work as more than just a job and are never satisfied with less than 100% effort. You want to be surrounded by people like you; creative, fun-loving, and passionate about their work. You have experience producing and shipping reliable software, and understand the value of good test cases. You are motivated by making an impact on your workplace and you thrive on challenging and rewarding problems. You\'re looking for a job where you get to interact with a diverse team and learn something new every day. You’ve got a real knack for coming up with solutions that make (and keep) people happy.

                    +

                    +

                    Required Experience/Skills

                    +
                      +
                    • Minimum 2-5 years Software Development experience in an enterprise environment.
                    • +
                    • Post-secondary diploma in Software Development or related field.
                    • +
                    • Object Oriented Programming experience (Python, C++).
                    • +
                    • Experience developing software with a data persistence layer (SQL).
                    • +
                    • Experience with database object relational mapping libraries (Django, sqlalchemy etc.).
                    • +
                    • Ability to communicate effectively and efficiently with both technical and non-technical stakeholders as well as other developers.
                    • +
                    • Ability to clearly and concisely communicate complex technical and architectural problems and propose iterative solutions.
                    • +
                    • Working with Linux/Ubuntu based environments and scripting (Bash).
                    • +
                    • SCM experience (git, Gitlab, Github, Bitbucket, SVN, etc.).
                    • +
                    +

                    +

                    Bonus Skills

                    +
                      +
                    • Experience working with container frameworks (Kubernetes, Docker, Helm etc.).
                    • +
                    • Experience with data visualization tools such as Grafana.
                    • +
                    • Experience working with time series databases such as Prometheus.
                    • +
                    • Familiarity with Elastic and the Elastic stack.
                    • +
                    • Postgres or other database administration and/or integration experience.
                    • +
                    • Experience designing applications for scale.
                    • +
                    • Experience developing, configuring or deploying web based applications.
                    • +
                    • Experience with Nix package management.
                    • +
                    • Experience developing ROS applications.
                    • +
                    +

                    Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                    ",,http://jobs.jobvite.com/clearpath/job/okH2mfw9,feed-importer@jobboard.io,,,,2023-05-15T22:40:00.000Z,False,0,9,55,https://talenthub.vectorinstitute.ai/jobs/219397730-software-developer-data-analytics-at-clearpath,,expired,2023-04-27T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Manufacturing ,Mid-Senior Level,Bachelors Degree,New Posting, +4d19064c-34ba-491f-9f27-e06a6b710e70,219391129,Scotiabank,"Director, Analytics and Business Planning, Canadian Business Banking",on_site,Canada : Ontario : Toronto,2023-04-27T17:22:02.083Z,"

                    -

                    Risk Management: Shape BMO’s Risk Appetite and develop lending strategies and controls to optimize returns within that Risk appetite

                    -

                    Data & Analytics: Use Data & Analytics to drive insights and decision-making in partnership with the business and in pursuit of our collective strategic priorities

                    -

                    Collections: Enable and transform customer experience through usage of data and analytics and modeling techniques. Enhance strategic services provided to customers through end-to-end operations functions.

                    -

                    -

                    Our capabilities and culture have been featured in Forrester, Forbes and at MIT – Product, Risk and Data & Analytics are regular topics at the BMO CEO’s leadership table.

                    +

                    Requisition ID: 177125

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    The successful candidates in the “Personal and Business Banking Development Program” will be part of a 2-year cohort, working alongside banking product, analytics, and risk leaders to accelerate their knowledge, understanding and skills in how BMO’s largest business segment - Personal and Business Banking (P&BB) operates and interacts.

                    -

                    -

                    Key Accountabilities:

                    -

                    Support development and implementation of product strategies to drive sales of existing banking products, launch new products to market, optimize profitability and improve the customer experience.

                    -

                    Support management of product risks to ensure compliance with legal, regulatory, and risk compliance, and reporting.

                    +

                    Director, Analytics & Business Planning, Canadian Business Banking

                    -

                    Leverage strong analytical, problem-solving and communication skills to contribute value and grow a network across multiple roles and functions in Canadian Personal & Business Banking, including the Data & Analytics Centre of Excellence, Product Management, Risk Management and Collections.

                    +

                    Purpose

                    +


                    The Director, Analytics & Business Planning leads and oversees Business Intelligence and MIS in Canadian Business Banking ensuring business strategies, plans and initiatives are executed / delivered in compliance with governing regulations, internal policies and procedures.

                    -

                    Help plan and deploy data & analytics solutions to improve issue understanding, generate insights and enable high-quality, fact-based decisions that drive better business outcomes. 

                    +

                    This role supports the Canadian Business Bank’s Leadership team in enhancing and managing the Canadian Business Bank’s portfolio and profitability by overseeing the Analytics function as well as Business Planning function in conjunction with Canadian Banking Finance.

                    -

                    Support the development and execution of various data & analytics-related strategies and roadmaps, including data quality and data analytics, reporting, business intelligence, modeling and the design and development of decision support tools.

                    -

                    -

                    Job Requirements:

                    -

                    -

                    · Builds effective relationships with internal/external stakeholders.

                    -

                    · Leads/participates in the design, implementation, and management of new analytics & reporting solutions.

                    -

                    · Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.

                    -

                    · Collaborates with internal and external stakeholders to deliver on business objectives.

                    -

                    · Analyzes data and information to provide subject-matter insights and recommendations.

                    -

                    · Recommends and implements solutions based on analysis of issues and implications for the business.

                    -

                    · Designs, develops, and implements innovative analytical solutions.

                    -

                    · Designs and produces regular and ad-hoc reports, and dashboards.

                    -

                    · Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.

                    -

                    · Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).

                    -

                    · Monitors and tracks tool performance, user acceptance testing, and addresses any issues.

                    -

                    · Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.

                    -

                    · Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.

                    -

                    · Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.

                    -

                    · Documents and maintain operational procedures and processes relating to analytical and reporting processes.

                    -

                    · Builds effective relationships with internal/external stakeholders.

                    -

                    · Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.

                    -

                    · Exercises judgment to identify, diagnose, and solve problems within given rules.

                    -

                    · Works independently on a range of complex tasks, which may include unique situations.

                    -

                    · Continuously improves processes to identify issues and deliver optimal customer experience.

                    -

                    · Works with partners to develop salesforce training and materials and manages change.

                    -

                    · Identifies existing and potential risks and develops risk management controls and processes

                    -

                    · May support the sales team in development of client deals and related presentations.

                    -

                    · Develops and maintains relationships with external partners and vendors.

                    -

                    · Broader work or accountabilities may be assigned as needed.

                    +

                    The Director oversees the development of the roadmap and delivery of value-add analytics & insights, robust Business Intelligence & MIS, Data & Platform strategy, Sales metrics development, Performance & Portfolio management tools, and Cross-sell & Prospect lead generation. The Director ensures latest development in data/analytics space such as Machine Learning and Artificial Intelligence are leveraged to enhance the Canadian Business Bank’s business objectives.

                    -

                    Qualifications:

                    -

                    · Graduate or Undergraduate degree in Business/Commerce, Data & Analytics, Risk Management, Economics, Engineering, Finance and/or Mathematics

                    -

                    · Work experience – including Coop and/or Internship placements – Highly Recommended

                    -

                    · Technical proficiency gained through business and work experience – Highly Recommended

                    -

                    · Knowledge and experience in data preparation and data analysis – Strong

                    -

                    · Familiar with one or more industry leading data and analytics tool sets including, but not limited to MS Power BI, TIBCO BPM, Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS – Good.

                    -

                    · Building business cases – Good

                    -

                    · Researching market trends – Good

                    -

                    · Verbal & written communication skills – In-depth.

                    -

                    · Collaboration & team skills – In-depth.

                    -

                    · Analytical and problem-solving skills, data driven decision making – In-depth.

                    -

                    · Influence skills - In-depth.

                    -

                    -

                    -

                    We’re here to help

                    -

                    -

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    -

                    -

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    -

                    -

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    -

                    -

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    -

                    -

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    -
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/First-Nations-Mtis-Inuit-Candidates---Personal---Business-Banking-Development-Program_R230000209?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-04-12T18:48:03.599Z,False,0,4,14,https://talenthub.vectorinstitute.ai/jobs/204322630-first-nations-metis-inuit-candidates-personal-business-banking-development-program-at-bmo-financial-group,,expired,2023-03-13T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, -d4cbfaf0-ab66-42cc-a012-51dc1b775fcd,205318488,Scotiabank,Database / EDW Application Administrator - Tangerine,on_site,Canada : Ontario : Toronto,2023-03-16T17:22:02.848Z,"

                    -

                    -

                    Requisition ID: 173727

                    -

                    Tangerine is Canada’s leading direct bank. We offer flexible and accessible banking options, innovative products, and award-winning Client service. The reason why Tangerine employees come to work each day is to help Canadians live better lives. We focus on making a difference in our communities, and that includes our own internal community. It’s important to us that our employees feel empowered and enthusiastic about belonging to our Orange culture.

                    -

                    -

                    As Canada’s leading digital bank, Tangerine technology is at the heart of everything we do. We have redefined what digital banking is, and we continue to evolve to tackle any opportunity and face every challenge through progressive technology and the power of collaboration.

                    -

                    Do you like new challenges? Are you ready to reach new heights in your career and become part of an established disruptor? If so, come join us and help redefine the Canadian banking landscape!

                    -

                    -

                    The Database / EDW Application Administrator is responsible for the administration, maintenance, upgrade, and data integrity of all development and test databases and all EDW (including APS, GCP – Bigquery, SAS, and Informatica ) Applications, Design and document database architecture, Data Modeling, coordinating assigned internal and external team projects, supporting other team members in all phases of the development life cycle. The Database / EDW Application Administrator reports directly to the Team Lead Tangerine Analytics Platform.

                    -

                    -

                    WHAT YOU WILL BE DOING:

                    -
                    • Administrate all Banking system development databases and maintain all aspects of the Tangerine Analytics Platform, including but not limited to: EDW (APS / Big Query), Informatica, SharePoint, SAS, Unica Campaign Suite, and Tangerine Machine Learning.
                    • Participate in and support analysis, design, testing, implementation, and maintenance of enhancements to Tangerine Analytics Platform applications.
                    • Implement corporate policy, develop, publish, enforce, and maintain standards and procedures
                    • Manage the Informatica environment and the granting of access to data; perform administrative functions
                    • Participate in EDW scope discussions and comment on the feasibility
                    • Maintain EDW data model and metadata
                    • Identify and document data access and usage requirements with access frequencies
                    • Design and produce ETL coding specifications
                    • Code, test, and document ETL processes
                    • Plan, test, and implement software upgrades; monitor alerts; administer licenses; interface with vendor
                    • Troubleshoot problems; provide Informatica/SAS problem resolution assistance to IT staff
                    • Provide day-to-day consultancy and support to IT staff; act as backup for other Database Systems staff
                    • Investigate, identify, and document source system data for extraction; design and implement confirmation processes for data loads
                    • Monitor daily operation relative to SLA; log issues and ensure resolution
                    • Ensure 24x7 availability of Tangerine Analytics Platform applications
                    • -
                    -

                    -

                    DO YOU HAVE THE SKILLS THAT WILL ENABLE YOU TO SUCCEED IN THIS ROLE? - WE'D LOVE TO WORK WITH YOU IF YOU HAVE:

                    -
                    • 5+ years of IT experience
                    • 2+ years of experience in a database, data warehouse, or enterprise application administration role
                    • Banking industry experience is preferable
                    • -
                    -

                    -

                    WHAT'S IN IT FOR YOU:

                    -
                    • You will be part of a diverse and inclusive team of Client-focused go-getters looking to learn from each other in an environment that celebrates and recognizes success!
                    • You will have access to thousands of online and in person courses so you can shape your career growth with the support from diverse industry leaders.
                    • You will get our help to save for your future and to invest in your total wellbeing through our Tangerine benefits*.
                    • You belong here, we are equal and un-complicated. Bring your true self to work, dress codes don’t apply here.
                    • You will enjoy workspace flexibility and all the excitement that comes from working at the official Bank of the Toronto Raptors.
                    • +

                      Accountabilities:

                      +

                      +

                      • A) Leads and drives a customer focused culture throughout their team to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

                      +

                      +

                      • B) Oversee development and management of Analytics for Commercial Bank by: Contribute to the Commercial Bank profit objectives through value-add portfolio and channel insights:

                      +


                      o Oversee the strategic management of product, portfolio, client and channel reporting and analytics to evaluate profitability and performance
                      o Develop roadmap and enable delivery of advanced analytics to drive profit enhancement through product pricing recommendations
                      o Oversee development of client analytics and lead generation capabilities to enhance cross-sell opportunities
                      o Ensure latest industry developments and tools form part of the overall Analytics development roadmap

                      +

                      +

                      • Oversee the development of performance management and metric strategy and execution by:

                      +


                      o Overseeing the planning and analysis of the annual Commercial Banking performance metric framework development
                      o Providing support to the Commercial Bank leadership team for ongoing performance management
                      o Ensuring Commercial Bank leadership team has support and tools to enable performance management of field teams and portfolio management of sales team portfolios

                      +

                      +

                      • Ensure sound Management Information Systems and platforms

                      +


                      o Overseeing development and management of data strategy and Management Information Systems for Commercial Banking working with GBM, IT&S, Finance
                      o Ensure data is complete, accurate, consistent and available on a timely basis.

                      +

                      +

                      • Perform the Data Steward function for Commercial Bank: As subject matter experts for their domains, the Data Steward is accountable for the data governance and oversight for their Data Domain and provides the leadership to drive adoption of the Bank’s data management strategy for his/her business line / functional group by:

                      +


                      o Leading their Domain Working Group to design, develop and implement strategies, standards and procedures to support the Data Domain while ensuring adherence to the enterprise data governance framework for data policies, standards and practices.
                      o Representing the Business Line / Functional Group for enterprise-level and cross-domain data management issues, including participating in the Enterprise Data Council, as needed.

                      +

                      o Supporting other parties within the Domain for their data needs and ensuring that regulatory and executive reporting and analytics have trusted data.
                      o Identifying and managing critical data elements, managing the business metadata and business glossary.
                      o In accordance with required Bank data compliance timelines, developing standards for sourcing data (access and maintenance) through Certified Data Sources, mapping data lineage, creating the business logic behind all data transformations and ensuring protection through comprehensive Service Level Agreements to ensure data quality.
                      o In accordance with required Bank data compliance timelines, monitoring data quality by establishing business rules (to test that the data meets expectations), setting acceptable thresholds, remediating data quality issues in a timely manner and identifying opportunities to enhance overall data quality.
                      o Collaborating with the Data Custodian to address data quality issue management and data change management in a timely manner based on priority and severity.

                      +

                      +

                      • C) Provide guidance on financial reporting, planning, forecasting and expense management for Commercial Bank working closely with the Canadian Banking Finance team:

                      +


                      o Oversee delivery of strategically relevant financial and operational data and reports are available to Commercial Bank Leadership team
                      o Direct strategic business analysis on the business line to drive better understanding of key measures and possible opportunities for growth and increased profitability. Evaluate strategic business proposals and outsourcing opportunities.
                      o Provide guidance on development of Profit Plan for Commercial bank through effective top line targets based on business opportunity as well as effective planning of new initiatives and expense management. Enable targets are appropriately distributed to the Commercial Bank business lines.
                      o Play an important role in the ongoing development of strategies and projects for all of Canadian Banking and Commercial Banking Management by participating at a strategic level / leading key teams and initiatives as appropriate and agreed to by the Commercial Banking Senior Leadership teams.
                      o Improve value and manage costs of Commercial Banking and individual areas within. Thoroughly understand the cost drivers, support area cost allocations and transfer pricing mechanisms to maximize Productivity and Operating Leverage of the business line.
                      o Ensure the provision and enhance the understanding of financial and business drivers and economics of the various Commercial Banking business lines. Assist line management in optimizing their operations from a financial perspective.

                      +

                      +

                      • D) Develop team capability and manage team (direct and indirect reports) initiatives by:

                      +


                      o Providing day to day management of direct reports ensuring team goal alignment
                      o Developing team expertise in data mining and strong analytics capabilities
                      o Providing employee development opportunities
                      o Ensuring appropriate communication, coaching, delegation and support are provided to team and project resources to effectively optimize team productivity and long-term development plans.

                      +

                      +

                      • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

                      +

                      +

                      • Creates an environment in which his/her team pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.

                      +

                      +

                      • Builds a high performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment and using a coaching mindset and behaviours; communicating vison/values/business strategy; and managing succession and development planning for the team.

                      +


                      Dimensions:

                      +


                      Supporting the Canadian Business Bank’s ability to achieve its vision and goal to be a best-in-class business bank for employees and clients. Scope incorporates the design, ongoing management of critical business line strategic measurement bases and analytics tools.

                      +

                      The Commercial Bank is a large contributor to Canadian Banking. The role and team will support sub-segments in Commercial Banking: Mid-Market Distribution, Real Estate Banking, Roynat, PESCG, Payments & Cash Management, Technology Innovation Banking, Franchising, Agriculture.

                      +

                      +

                      Education / Experience / Other Information:
                      • Analysis is contingent upon excellent understanding of finance, profit drivers, transfer pricing, product knowledge and a comprehensive understanding of multiple, complex data sources across the Bank
                      • Experienced senior financial professional with strong business acumen and a solid track record of seeing beyond the numbers to the effects on the business
                      • Expert knowledge (CPA, MBA or commensurate experience) of all key financial measures and requirements plus experience with Statutory, Regulatory and Management reporting
                      • The role requires a high degree of collaboration across wide ranging groups: Global Banking & Markets (GBM); GBP; Finance; GRM; Wealth Management; Retail Small Business; and various Commercial Banking areas.
                      • Excellent analytics, strategic thinking, organizational know-how and influencing skills are critical for success
                      • Strong technical skills in Finance, Math, Statistics, Computer Science or related fields
                      • Outstanding general management and communication skills and an ongoing desire to develop / interact with supervisor / peers / reports in a positive, open and honest manner
                      • A track record that shows a results orientation and ability to move multiple projects forward, execute and implement multiple tasks well
                      • Excellent design and delivery capabilities
                      • Strong visionary and planning capability
                      • High degree of knowledge of commercial products and profit drivers
                      • Experience with open-source languages such as Python, Django, Flask, JS, D3, Angular an asset
                      • Experience with RDBMs, Cassandra, HDFS, and/or graph databases an asset
                      • Ability to work non-standard hours as required
                      • Ability to complete work in a fast-paced environment with complex tasks and deliverables with tight timelines and significant interdependencies

                      +

                      #IN-CB

                      +

                      #LI-Hybrid

                      +

                      +

                      Location(s): Canada : Ontario : Toronto

                      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Director%2C-Analytics-and-Business-Planning%2C-Canadian-Business-Banking-ON-M5H-3Y2/569786217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-12T17:09:00.000Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/219391129-director-analytics-and-business-planning-canadian-business-banking-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Director%2C-Analytics-and-Business-Planning%2C-Canadian-Business-Banking-ON-M5H-3Y2/569786217/,expired,2023-04-27T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Director,No Degree,New Posting, +60ba1e5b-98a9-4850-96ad-f290854beb9d,215793875,TELUS,Data Engineer,on_site,"Ontario, Canada",2023-04-16T17:42:04.305Z,"
                    +
                    +

                    Description

                    +
                    +


                    Join our team and what we\'ll accomplish together

                    +

                    +

                    Are you obsessed with data and identifying ways to harness and scale data intelligence across an entire organization? Do you love collaborating with fellow data professionals to develop innovative data solutions that lead to positive business outcomes? If your answer is yes, we would be delighted to have you onboard TELUS’ Data Strategy & Enablement team to provide vision and strategic guidance, while driving flawless execution on the development and evolution of large-scale machine learning environments.

                    +

                    +

                    You’ll be part of a multidisciplinary team of data wizards who are capitalizing on analytics and insights to deliver exceptional products and services for our customers. In turn, we hope you’ll enjoy being a valued member of Canada’s #1 global workplace with a world-leading culture featuring extensive community-giving initiatives, flexible work environment including remote work, award-winning opportunities for career development, and a competitive compensation and benefits package.

                    +

                    +

                    As a technology company, data is central to our mission to create better outcomes for our customers, especially as we strive to deliver next generation networks like 5G; unlock the full potential of the Internet of Everything to power smart homes, businesses, industry, healthcare and cities; and deliver an incredible customer experience. Our Data Strategy & Enablement team is at the helm of building world-class data solutions by delivering data analytics capabilities built upon unified scalable platforms, advanced Augmented Intelligence (AI) tooling, high quality data, and a data product and platform-oriented culture. At the same time, this team remains passionate champions of reliability, security and privacy by design, and is committed to creating the utmost level of privacy and security protections for all data on our networks and systems. You’ll provide vision and strategic guidance to evolve from common static analysis to dynamic machine learning deployments, as well as expand our teams’ access to deep insights that improve the customer experience. You’ll work with a talented team of Data Scientists and other professionals to manage TELUS’ data

                    +

                    What you’ll do

                    +
                      +
                    • Build and maintain scalable data infrastructure that offers a best-in-class experience for internal stakeholders including consistent extraction of value from the data
                    • +
                    • Drive data ingestion and processing in innovative ways that inform strategic priorities and decision-making across the organization
                    • +
                    • Foster continuous systems transformation as we migrate infrastructure and applications to Google Cloud Platform (GCP)
                    • +
                    • Build expertise in the team to expose efficiency insights across data platforms in the cloud
                    • +
                    • Manage our cloud data analytics platform priorities to make sure data security and privacy are top considerations
                    • +
                    • Implement automation and monitoring tools through a test-driven approach and mindset
                    • +
                    • Drive the adoption of new cloud technologies to further advance TELUS’ data transformation strategy
                    • +
                    +
                    +
                    +
                    +

                    Qualifications

                    +
                    +

                    What you bring

                    +
                      +
                    • An expert understanding of data warehouses/cloud architectures and ETL processes
                    • +
                    • Advanced working SQL knowledge and experience working with relational databases and query authoring (SQL), as well as working familiarity with a variety of databases
                    • +
                    • Experience with cloud platforms: GCP, Amazon or Azure (GCP gives you an edge!)
                    • +
                    • Experience with Python and software engineering best practices
                    • +
                    • Advanced knowledge in Dataflow, Spark and Kafka, as well as other data pipeline components
                    • +
                    • Experience with data pipeline and workflow management tools such as Airflow
                    • +
                    • Experience with Github and CICD processes
                    • +
                    • 3+ years of progressive and relevant work experience
                    • +
                    • Having a proven track record in leading data analytics platform projects
                    • +
                    • Ready to work in new and challenging work environments
                    • +
                    • Getting excited by the opportunity to build a team\'s capabilities to create value and innovate through data, and doing so in an agile manner with a bias for action and speed
                    • +
                    • Envisioning and delivering future technical roadmaps while inspiring others along the way
                    • +
                    • Being a senior strategist and mentor who is sought out when it comes to analyzing and translating technicalities into business implications
                    • +
                    • Working in cross-functional teams with exemplary communication and coordination skills
                    • +
                    • Proving your analytical skills with root cause analysis of issues
                    • +
                    • Demonstrating resilience, a questioning mindset, and strong observation skills and curiosity – you never settle for the status quo!
                    • +
                    • Caring passionately about your stakeholders and providing them with the data and insights they need to deliver on their customer and business outcomes
                    • +
                    +

                    +

                    Great-to-haves

                    +

                    +
                      +
                    • Post graduate education in Data Engineering, Cloud DevOps or Advanced Analytics
                    • +
                    • Machine learning and data science knowledge
                    • +
                    • Experience with Java in Cloud
                    • +
                    +
                    +
                    +
                    ",,https://careers.telus.com/job/Toronto-Data-Engineer-ON/566944317/,feed-importer@jobboard.io,,,,2023-05-17T19:40:54.166Z,False,0,7,20,https://talenthub.vectorinstitute.ai/jobs/215793875-data-engineer-at-telus,,expired,2023-04-16T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, +551486f5-0907-4e75-ab3e-f38f1e9201d0,216107068,BenchSci,"Senior Machine Learning Engineer, NLP (Remote)",full,"Toronto, Ontario Remote",2023-04-17T17:39:03.750Z,"
                    We are seeking a Senior Machine Learning Engineer - NLP to join our growing ML team. You will work on complex NLP problems that will have an impact on the 41,000+ scientists across the world who rely on BenchSci for their research. Reporting to the Engineering Manager, ML, you'll apply your domain expertise to build advanced machine learning algorithms, collaborate with data engineers to build benchmarking and data preparation pipelines, and core infrastructure engineers to deploy and monitor your models in our production system. In this role, you will have the opportunity to apply state-of-the-art solutions that will shape the future of scientific discovery.
                    +

                    You will:

                    +
                        +
                      • Design, build, evaluate and deploy robust, scalable and production ready ML models that enhance the speed and quality of life-saving research
                      • +
                      • Collaborate with data and core infrastructure engineers to solve the complex problems of extracting insights from biomedical text data
                      • +
                      • Continuously improve our machine learning workflow by keeping up to date with the latest optimizations in libraries such as PyTorch, and expand our usage of modern tools such as DVC
                      • +
                      • Drive design discussions, apply best practices, diagnose problems and lead the resolution
                      • +
                      • Own the solutions and long-term technical investments to inspire creativity and innovation at BenchSci
                      • +
                      • Work in collaboration with different stakeholders including BenchSci's R&D scientists and Chief Science Officer to learn, model, and capture the nuances of biology
                      • +
                      • Participate and contribute to sprint planning, estimation, and design/code reviews
                      • +
                      • Provide guidance to less experienced engineers and help to foster a culture of continuous growth
                      • +
                      • Establish and apply best industry practices
                      • +
                    +
                    +

                    You have:

                    +
                        +
                      • 4+ years of experience working as a professional developer or researcher applying machine learning techniques to solve business problems
                      • +
                      • Strong experience with Python and programming fundamentals
                      • +
                      • Extensive experience with NLP and PyTorch
                      • +
                      • Experience with designing, building and evaluating robust and scalable production ready ML models
                      • +
                      • Strong critical thinking skills and an eye for details such as scalability and performance of a potential solution
                      • +
                      • Experience with data manipulation and processing, such as SQL or pandas
                      • +
                      • A growth mindset and a constant desire to learn and improve
                      • +
                    +
                    +

                    +

                    +
                    Benefits and Perks:
                    +
                    An engaging remote-first culture
                    +
                    A great compensation package that includes BenchSci equity options
                    +
                    15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
                    +
                    Unlimited flex time for sick days, personal days, religious holidays
                    +
                    Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
                    +
                    A $2000 CAD* Annual Learning & Development budget
                    +
                    A $1000 CAD* home office set-up budget
                    +
                    A $2500 CAD*wellness, lifestyle and productivity spending account for employees
                    +
                    Generous parental leave benefits with a top-up plan or paid time off options
                    +
                    *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.
                    +

                    +
                    About BenchSci:
                    +
                    BenchSci's vision is to help scientists bring novel medicine to patients 50% faster by 2025. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                    +
                    Backed by F-Prime, Inovia, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                    +

                    +
                    Our Culture:
                    +
                    BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                    +
                    We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                    +
                    You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
                    +

                    +
                    +Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
                    +

                    +
                    +Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
                    +

                    +
                    #LI-Remote
                    +
                    ",,https://jobs.lever.co/benchsci/b06a1605-cacc-4593-b137-15d6bda35504?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-05-17T20:40:57.854Z,False,0,11,65,https://talenthub.vectorinstitute.ai/jobs/216107068-senior-machine-learning-engineer-nlp-remote-at-benchsci,https://jobs.lever.co/benchsci/b06a1605-cacc-4593-b137-15d6bda35504,expired,2023-04-17T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Mid-Senior Level,No Degree,New Posting, +73230ffd-0611-43d7-865b-651007ce6773,213982102,BEIT Canada,Lead Research Scientist,on_site,"Toronto, ON, Canada",2023-04-10T20:48:33.071Z,"

                    We're building a new team of technical experts in Quantum Computing in downtown Toronto to accelerate the path toward useful quantum advantage. Applicants with expertise in any of quantum algorithms, error correction, compilation, hardware, physics and chemistry are encouraged to apply.

                    +

                    Responsibilities

                    +

                    You will be expected to lead research projects and collaborate with a team of experts in the field to push the boundaries of what is currently possible with Quantum Computation. You will be involved in developing company patents, publishing research papers, giving presentations and collaborating with industry partners to transfer knowledge and technology.

                    +

                    Qualifications

                    +

                    The role requires an in-depth understanding of quantum algorithms, quantum hardware, and quantum physics/chemistry. The ideal candidate will have a Ph.D. or industry experience in a relevant field such as physics, computer science, or mathematics and have a track record of high-impact research in quantum computing.

                    ",tomginsberg@beit.tech,,tomginsberg@cs.toronto.edu,https://beit.tech/,,,2023-05-11T19:00:46.188Z,False,0,0,67,https://talenthub.vectorinstitute.ai/jobs/213982102-lead-research-scientist-at-beit-canada,,expired,2023-04-10T20:48:00.000Z,website-existing-job-slot,Startup (1-19),Vector Quick Apply,"Software, Technology (Product Development)",Team Lead,PhD,New Posting, +7045e125-98e2-4d18-bef2-c06187358359,226183785,TD Bank Group,Data Scientist II,on_site,"Toronto, ON",2023-05-16T15:53:05.664Z,"
                    +

                    Company Overview

                    +
                    +

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    +

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    +
                    +

                    +

                    Department Overview

                    +
                    +

                    What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                    +

                    As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                    +

                    TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                    +
                    +

                    +

                    Job Description

                    +
                    +

                    About this Role

                    +

                    As Data Scientist you will contribute towards advanced analytics and ML evolution at TD. You will be responsible for developing and managing statistical and ML models used for Valuations in Personalization Analytics use cases. You are not only a functional expert, you also possess broad managerial experience and specialized knowledge of regulatory and industry frameworks, using that knowledge to inform development cycles and develop industry leading analytic solutions.

                    +

                    Most of all, your work ethic and thought leadership inspires your team to innovate with purpose, execute with speed, collaborate to deliver world-class data solutions and ultimately become leaders themselves. We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work enterprise wide.

                    +

                    As a Data Scientist II, these are the essential responsibilities of this role:

                    +
                      +
                    • Provide insight into leading analytics practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core work you’re doing
                    • +
                    • Design and deliver enterprise analytic solutions for customers
                    • +
                    • Develop powerful business insights from segmentation, risk, and performance data
                    • +
                    • Build complex statistical valuations models with knowledge of Banking products profitability and cost drivers
                    • +
                    • Analytical thought leadership and staying ahead of developments in data mining and the application of data science
                    • +
                    • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
                    • +
                    • Generally accountable for a significant business management area that typically has enterprise wide impact or accountability
                    • +
                    • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
                    -

                    *Tangerine employees participate in Scotiabank’s pension & benefits programs (available to permanent employees)

                    -

                    -

                    Location(s): Canada : Ontario : Toronto

                    -

                    At Tangerine we value the unique skills and experiences each individual brings to the team, and are committed to creating and maintaining an inclusive and accessible environment. If you require accommodation during the recruitment and selection process, please let our Recruitment team know.

                    ",,https://jobs.scotiabank.com/Tangerine/job/Toronto-Database-EDW-Application-Administrator-Tangerine-ON-M2H0A1/568568317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-16T15:08:49.834Z,False,0,0,14,https://talenthub.vectorinstitute.ai/jobs/205318488-database-edw-application-administrator-tangerine-at-scotiabank,https://jobs.scotiabank.com/Tangerine/job/Toronto-Database-EDW-Application-Administrator-Tangerine-ON-M2H0A1/568568317/,expired,2023-03-16T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -52402bb9-66d1-4d85-8379-431628c96dac,209893923,Borealis AI,Machine Learning Researcher - Fall Internship,on_site,"Toronto, ON, Canada",2023-03-29T20:21:48.927Z,"

                    About Borealis AI

                    -

                    Borealis AI is an AI and Machine Learning Research Institute backed by Royal Bank of Canada. Comprised of top AI researchers and engineers and motivated by the pursuit of solving intelligence, Borealis AI is advancing machine learning science, while building leading products for financial services. With 40+ scientific publications in top-tier academic venues, the institute performs research in areas, such as deep learning, reinforcement learning, language processing, AI safety, and more. Borealis AI was founded in 2016 and has over 100 team-members across its four labs in Canada.

                    -

                    -

                    Borealis AI anticipates our internship programs to be in a hybrid work environment for the Fall 2023 term. Interns support research on a wide variety of theoretical and applied machine-learning projects. Working at Borealis AI will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models. Being part of our team means you’ll have the opportunity to publish original research in peer-reviewed academic conferences, such as NeurIPS, ICLR, ICML, CVPR. And you’ll be working with some of the brightest minds in AI.

                    -

                    -

                    Internship opportunities are available in the following areas:
                    - Deep Learning
                    - Reinforcement Learning
                    - Graphs and Optimization
                    - Unsupervised and Semi-supervised Learning
                    - Bayesian Optimization
                    - Privacy and Fairness
                    - Interpretability and Explainability
                    - AutoML
                    - Time Series Forecasting
                    - Natural Language Processing
                    - Computer Vision

                    -

                    You’re our ideal candidate if you have:

                    -

                    - Ability to implement state-of-the-art machine learning techniques
                    - High motivation to solve challenging research problems
                    - Passion for data, algorithms, and statistics
                    - Pursuing a graduate degree in Computer Science, Engineering or another mathematically related field (e.g., Physics, Math, Statistics, etc.)
                    - Previous publications at a top-tier AI conference
                    - Experience with writing modular, robust, scalable software in Python
                    - Familiarity with the Unix command line and bash scripting
                    - Proficiency with deep learning packages, such as Tensorflow, Keras, and PyTorch
                    - A deep understanding of machine learning algorithms and/or statistical modeling

                    -

                    -

                    Internship duration: 4 months (September - December, 2023)

                    -

                    Application deadline: May 14, 2023

                    -

                    How to apply: Complete the online application and submit your resume at: https://www.borealisai.com/int...

                    -

                    For any questions and enquiries, please contact: mi.research@borealisai.com

                    -

                    -

                    Inclusion and Equal Opportunity Statement:
                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                    +
                    +

                    +

                    Requirements

                    +
                    What can you bring to TD?

                    +

                    Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    +
                      +
                    • Graduate level qualification in a relevant technical field (Computer Science, Engineering, Applied Mathematics/Statistics, Operations Research) ideally with a specialization in data mining/machine learning
                    • +
                    • Demonstrated experience of developing classical and ML-oriented models like Logistic Regression, Lasso and Ridge regularization, bagging and boosting models, and advanced modeling algorithms including neural networks.
                    • +
                    • Well-developed analytical abilities: must be comfortable with data and statistics.
                    • +
                    • Up to 7 years’ experience of working in analytical environments
                    • +
                    • Experience in financial modelling and experience in Product Strategy, Risk, Finance or Marketing functions
                    • +
                    • High proficiency in Python, PySpark, Java, R, and its essential libraries
                    • +
                    • Experience with Git
                    • +
                    • Experience with relational databases and usage of SQL
                    • +
                    • Proficiency in Big data (Hadoop, HIVE, PIG, Spark etc.) and unstructured data
                    • +
                    • Demonstrated track record of manipulation of large volume, high frequency data for analytical purposes on a Big Data platform
                    • +
                    • Demonstrated experience of developing and implementing statistical models (predictive & descriptive)
                    • +
                    • Demonstrated experience in delivering high quality, high impact analytical solutions to business problems
                    • +
                    +

                    +

                    Additional Information

                    +
                    +#LI-Hybrid #LI-Post #datascientist
                    +

                    +

                    Hours

                    +
                    37.5
                    +

                    +

                    Inclusiveness

                    +

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    +

                    +
                    ",,https://jobs.td.com/en-CA/jobs/18306777/data-scientist-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-06-08T15:58:01.449Z,False,0,7,46,https://talenthub.vectorinstitute.ai/jobs/226183785-data-scientist-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18306777/data-scientist-ii-toronto-ca/,expired,2023-05-16T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +2f15eee8-375a-41ad-b6fb-e28fad720782,229165609,Sun Life Financial,"AVP, Advanced Analytics and Business Intelligence",hybrid,"Toronto, ON, Canada",2023-05-25T21:48:52.794Z,"

                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                    -

                    ",,https://www.borealisai.com/internship-application/,huyen.mori@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-04-29T17:51:00.000Z,False,0,39,159,https://talenthub.vectorinstitute.ai/jobs/209893923-machine-learning-researcher-fall-internship-at-borealis-ai,,expired,2023-03-29T20:21:00.000Z,website-existing-job-slot,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Masters Degree,New Posting, -8cabe49d-ef35-466b-b50f-bb477a3d9aba,219858683,Roche,Global Senior Data Engineer,hybrid,"Mississauga, ON, Canada",2023-04-28T20:26:56.573Z,"

                    The Position

                    -

                    The PTE (Pharma Technical Operations Digital Analytics & Operational Excellence) organization will catalyze the global development and execution of PT’s Digital and Operational Excellence strategy to enable PT to realize our performance promises. We will build a strong cross-functional and inclusive community, put the power of data into the hands of our people, further develop the Lean and Digital skills across PT, and scale up our Digital and Advanced Analytics solutions, for the benefit of our colleagues and patients.

                    -

                    PTE’s Digital Data Backbone Chapter will enable this vision by making FAIR data available across the organization establishing a decentralized, value driven and data product centric approach.

                    +

                    Job Description:

                    -

                    As a member of the PTE Data Engineering and Architecture Team, you will work in multi-disciplinary environments harnessing data to provide real-world impact for our processes and products. You’ll work closely with a team of data scientists, subject matter experts and other data engineers in order to curate, transform and construct features which feed directly into our modeling approach. Additionally, you will contribute to the delivering FAIR data products.

                    +

                    Role Summary

                    -

                    This role requires an individual who can and wants to collaborate, listen and learn from colleagues, challenge thoughtfully and prioritize impact of work. You will be responsible for finding improvements in advanced data analytic models and data architecture. We are looking for someone who can quickly adapt to an ever changing environment, has a passion to learn and can be trusted to work in the best interests of colleagues.

                    +

                    Sun Life Retail Advice & Solutions (RA&S) is one of the leading financial institutions that offer Canadians holistic advice and innovative solutions including insurance, wealth and health through a team of digitally-enabled and insights-driven human advisors.

                    Reporting to the Senior Vice President Strategy & Enablement, AVP- Advanced Analytics & Business Intelligence (BI) will be responsible for the developing and implementing data analytics strategy to enable RA&S in achieving sustainable competitive advantage, growth and profitability. The successful candidate will work in a fast-paced and dynamic environment with a focus on leading advanced analytics initiatives and business intelligence to enable RA&S to stay in the forefront of competitor actions and market developments.

                    -

                    Job Responsibilities

                    +

                    What will you do?

                    +
                    • +Data Analytics strategy development and execution

                        -
                      • Hybrid technical role interfacing with process SMEs using state of the art technologies, whilst also being able to communicate complex intractable ideas to non-technical audiences.
                      • -
                      • Collect clear requirements from SMEs and process experts.
                      • -
                      • Work with our process experts to model their data landscape, obtain data extracts and define secure data exchange approaches
                      • -
                      • Acquire, ingest, and process data from multiple sources and systems into Big Data platforms
                      • -
                      • Understanding, assessing and mapping the data landscape
                      • -
                      • Collaborate with our data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in their advanced analytical models
                      • -
                      • Building modular pipeline to construct features and modeling tables
                      • +
                      • Develop data analytics strategy that enables business medium-term strategy to create sustainable growth
                      • +
                      • Implement data analytics strategy by adapting and / or transforming existing data engineering, business intelligence, and advanced analytics functions
                      • +
                      • Partner with CXO Data Analytics team to align with overall Canada data analytics strategy.
                      • +
                      +
                    +
                    • +Data foundation transformation

                      +
                        +
                      • Maintain existing data foundation for business intelligence, and self serve and advanced analytics
                      • +
                      • Adapt data foundation as needed to meet analytics and business intelligence needs while ensuring it is continuously operational with minimal disruption
                      • +
                      • Lead transformation initiative to migrate data foundation to a modern cloud-based environment
                      +

                    -

                    Supplementary Responsibilities

                    +
                    • +Strategic insights

                        -
                      • Maintaining our Information Security standards on the engagement
                      • -
                      • Defining the technology stack to be provisioned by our infrastructure team
                      • -
                      • Use new and creative techniques to deliver impact for our clients as well as internal R&D projects
                      • +
                      • Identify and review strategic issues facing the business and provide analysis, decision support, and develop implementation ready strategies and tactics
                      • +
                      • Drive thought leadership in solving strategic issues using data driven approaches using data analytics
                      +

                    +
                    • +Business Intelligence

                      +
                        +
                      • Run business intelligence function that supports decision making and performance management
                      • +
                      • Manage and prioritize request in-take from various stakeholders that optimize delivery across factors such as value, time-to-market, and effort
                      • +
                      • Lead efforts to democratize data analytics by creating self serve capabilities for power users to access data, conduct analysis and generate insights
                      • +
                      • Ensure business intelligence function delivers value to business stakeholders, e.g. turn complex data into easy-to-understand insights with optimized visualizations
                      • +
                      +

                    -

                    Who you are

                    +
                    • +Data science and advanced analytics

                      +
                        +
                      • Proactively apply data science and advanced analytics techniques to identify and address business opportunities
                      • +
                      • Lead execution of data science projects and manage coordination of project delivery across functions
                      • +
                      • Operationalize analytical models in the field by addressing technology, process and change management requirements
                      • +
                      • Collaborate with data analytics partners in Canada and ES to leverage common capabilities, tools and assets
                      • +
                      +

                    -

                    Education and Experience

                    +
                    • +Compliance and knowledge management

                        -
                      • Bachelor’s, Master’s, or Ph.D. degree in computer science/electrical engineering or relevant field
                      • -
                      • 8+ years of experience in the bio-pharmaceutical industry specializing in bioprocess manufacturing sciences and technology.
                      • +
                      • Implement consistent and comprehensive standards in documentation across data engineering, business intelligence and analytical models
                      • +
                      • Maintain documentation of existing data processes and models
                      • +
                      • Ensure knowledge are cross pollinated across the team to minimize key personnel knowledge risk
                      • +
                      • Ensure data and analytical processes adhere to compliance processes and data privacy policies, e.g. MEUC, PIA
                      +

                    -

                    Knowledge, Skills and Abilities

                    +
                    • +Communication and relationship management

                        -
                      • Proven and significant experience building and managing data pipelines.
                      • -
                      • Proven experience developing and delivering data products.
                      • -
                      • Ability to build and manage data pipelines with Python, Scala or Java.
                      • -
                      • Knowledge of software engineering best practices such as code reviews, testing frameworks, maintainability and readability.
                      • -
                      • Commercial client-facing project experience is helpful, including working in close-knit teams
                      • -
                      • Capable of working across structured, semi-structured, and unstructured data, extract information and identify linkages across disparate data sets.
                      • -
                      • Meaningful experience in multiple database technologies (such as Hadoop, MS SQL Server, Oracle, MySQL, Teradata, Snowflake).
                      • -
                      • Confirmed ability in clearly communicating complex solutions
                      • -
                      • Deep understanding of Information Security principles to ensure compliant handling and management of process data
                      • -
                      • Experience and interest in Cloud platforms such as: AWS, Azure, or Google Platform
                      • -
                      • Familiarity with data warehousing and deploying ETL processes with Python. Extraordinary attention to detail.
                      • -
                      • Strong organizational and interpersonal skills: can get things done in a way that optimizes results, strengthens internal and external relationships, and with consideration of resources.
                      • -
                      • Knowledge of cGMP’s, Health Authority regulations, and Quality Systems.
                      • -
                      • Work Environment/Physical Demands/Safety Considerations
                      • -
                      • Ability to work in an international/global environment. 5-15% travel anticipated.
                      • -
                      • May work in the clean room environment that requires gowning in the form of hospital scrubs,
                      • -
                      • Ability to sit, stand and move within work space for extended periods
                      • -
                      • Able to work on co-located or remote cross-functional teams
                      • +
                      • Effectively communicate key insights, ideas and strategies, to an executive level audience in a clear, compelling and concise manner
                      • +
                      • Proactively stay in touch with internal partners to maintain an understanding of new developments in their areas
                      • +
                      • Tailor both written and verbal communication based on audience and situation to maximize buy-in and establish productive working relationships
                      • +
                      +
                    +
                    • +Team management and other accountabilities

                      +
                        +
                      • Lead and coach a diverse reporting team through proactive career development and continuous feedback loop
                      • +
                      • Actively promote Sun Life brand and community image to attract talent and external partners
                      • +
                      • Ensure ongoing compliance with all applicable regulatory and policy requirements
                      +

                    -

                    Roche embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.

                    +

                    What will you need to succeed?

                    +
                      +
                    • Minimum of 10 years relevant business experience, ideally within insurance, wealth management or other financial services
                    • +
                    • Experience in leading advanced data analytics functions, e.g. predictive analytics, business intelligence, data engineering
                    • +
                    • Strong business and technical understanding of data and advanced analytics concepts and technology
                    • +
                    • Experience in leading high performing teams and professional knowledge workers
                    • +
                    • Experience in financial and quantitative analysis, including using modelling tools and techniques, would be an asset
                    • +
                    • University degree in business, engineering, computer science or related discipline
                    • +
                    +

                    What's In It For You?

                    +
                      +
                    • Competitive salary and bonus structure influenced by market range data
                    • +
                    • 20 days vacation per year and an innovative sabbatical program
                    • +
                    • Great Place to Work® Certified in Canada and the US - 2022
                    • +
                    • Great Place to Work® award for Best Workplaces for #HybridWork - 2022
                    • +
                    • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid #LI-Remote +
                    • +
                    • A friendly, collaborative and inclusive culture
                    • +
                    • Being part of our Analytics community, where we share best practices and broaden skill-sets
                    • +
                    • Flexible Benefits from the day you join to meet the needs of you and your family
                    • +
                    • Pension, stock and savings programs to help build and enhance your future financial security
                    • +
                    • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle
                    • +

                    -

                    If you have questions then please check our FAQs and videos on careers.roche.ch/faq.

                    +

                    The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                    +

                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                    -

                    Who we are

                    -

                    At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

                    +

                    Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                    -

                    Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche's truly innovative culture.

                    +

                    At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                    -

                    As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

                    +

                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                    -

                    Roche is an Equal Opportunity Employer.

                    ",,https://roche.wd3.myworkdayjobs.com/roche-ext/job/Mississauga/Global-Senior-Data-Engineer_202304-109297,feed-importer@jobboard.io,https://www.roche.com/careers.htm,,,2023-05-08T20:35:00.000Z,False,0,3,28,https://talenthub.vectorinstitute.ai/jobs/219858683-global-senior-data-engineer-at-roche,,expired,2023-04-28T20:26:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Senior Level,Bachelors Degree,New Posting, -5a8e0ef0-57fd-4fb2-88d8-267f0c2c8255,222290271,Scotiabank,"Senior Manager, Analytics & Insights",on_site,Canada : Ontario : Toronto,2023-05-04T17:22:02.930Z,"

                    -

                    -

                    -

                    -

                    Requisition ID: 176834

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    -

                    Purpose
                    Leads and supports Global Fraud Authentication for all business lines, channels, and products in all markets/countries in which the Bank operates ensuring business strategies, plans and initiatives are executed / delivered in compliance with governing regulations, internal policies and procedures. This role will assist in the establishment of the Global Authentication function for the Bank to prevent Fraud attacks and minimize downstream impacts to customers, operational teams, and the Bank’s bottom line through the implementation of a Global Fraud Authentication Monitoring process. Leads and supports implementation of analytics and reporting to generate insights for Global Fraud Authentication strategies.

                    -


                    Accountabilities

                    -

                    • Leads and supports a customer focused culture throughout their team to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

                    -

                    • Responsible and supports the design, and development of the Bank’s Global Fraud Authentication Monitoring process. This includes development of the strategy to onboard all existing and new data feeds to the dashboard, and creation of a framework to monitor for data feed integrity and quality. This tool will monitor authentication flows globally, while overlaying fraud rates, customer information, and critical investigative data elements. This requires close working relationships with partner teams globally (technical and SME) and leveraging specialized cyber fraud and data/analytics experience to stand-up and manage a top tier control room function to monitor for authentication anomalies across the Bank’s global perimeter.

                    -

                    • Responsible for implementing all analytics and reporting related requirements including technical/functional knowledge of BI tools, enterprise customer data and other data assets. Represents Global Fraud Authentication as a data analytics subject matter expert in Partner and vendor engagements and leads the design and implementation of business intelligence assets for GFA that are aligned to the bank’s strategy.

                    -

                    • Creates reporting, dashboards and trending analysis across Global Fraud Authentication including KPIs and indicators to provide data driven insights and value added analysis to inform strategic decision making including projections and forecasts utilizing statistical modelling and works closely with internal and external Partners to understand and align on business requirements and contribute to the connection of end to end Customer Journey data.

                    -

                    • Supports and contributes to the development of Executive reporting and presentations, as well as a Partner Website and for establishing a roadmap to scale these to provide comprehensive information about authentication, products, all-Bank strategy and status of critical enterprise projects, as well as for supporting the intake process for authentication strategy/solution related requests (many of these are audit and/or regulatory related). These requests require consultation across multiple technical teams/tech partners; various second line teams and multiple operational teams globally. There will be a heavy focus on the cards and payments space and authentication capabilities and structures needed to support step-up authentication to meet industry requirements and timelines, while ensuring compliance with the Bank’s policies and procedures.

                    -

                    • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

                    -

                    • Creates an environment in which their team pursues effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.

                    -

                    • Builds a high performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment and using a coaching mindset and behaviours; communicating vison/values/business strategy; and, managing succession and development planning for the team.

                    -

                    Education / Experience / Other Information
                    • 3+ years working experience in data analysis, data management and reporting is required
                    • University education in Business, Computer Sciences, Electrical/Computer/Software Engineering, Mathematics or equivalent experience
                    • Proven experience cleaning, transforming and visualizing large data sets working with various data formats (e.g. Enterprise Data Warehouse, Unstructured logs, XML, JSON, flat files, SAS, CSV)
                    • Solid knowledge of Data Analysis or manipulation tools for working with data (e.g. SQL, DB2, MySQL, Python, R)
                    • Expert knowledge using and implementing visualization tools like PowerBI, Tableau or Qlikview
                    • Experience with Big Data ecosystem tools (e.g. Hive, Spark, Google Cloud Platform)
                    • Strong knowledge of and ability to Analyze data volumes, data types and content to support the design of data architecture solutions and ability to define and document data lineage, transformation rules, definitions and ownership of data attributes.
                    • Excellent analytical skills. Must be able to interpret and consolidate large amounts of information in actionable recommendations. Uses sound judgment in the creation of analysis, validation, interpretation and presentation of findings.
                    • Strong presentation and communication skills (oral and written)
                    • Spanish Fluency is preferred
                    • Strong knowledge of Fraud and Authentication is preferred
                    • Knowledge and/or experience with Cyber Security is an asset
                    • Experience in a global Financial Institution or large scale global organization working with retail customer level data is an asset
                    • Working knowledge of the Bank’s products (including payments and cards), risk areas, and protect functions, as well as a basic understanding of Finance
                    • Expert knowledge of MS applications (Work, Excel, Project, PowerPoint & PowerBi)

                    -

                    -

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Analytics-&-Insights-ON-M5H1H1/569636817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-08T20:37:00.000Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/222290271-senior-manager-analytics-insights-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Analytics-&-Insights-ON-M5H1H1/569636817/,expired,2023-05-04T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +

                    Salary Range:

                    +

                    138,100/138 100 - 218,200/218 200

                    +

                    Job Category:

                    +

                    Advanced Analytics

                    +

                    Posting End Date:

                    +

                    07/06/2023

                    ",,https://sunlife.wd3.myworkdayjobs.com/Experienced/job/Toronto-Ontario/AVP--Advanced-Analytics-and-Business-Intelligence_JR00080656-2,aitalent@vectorinsitute.ai,https://www.sunlife.ca/ca/Careers,,,2023-06-08T20:55:00.000Z,False,0,5,30,https://talenthub.vectorinstitute.ai/jobs/229165609-avp-advanced-analytics-and-business-intelligence-at-sun-life-financial,,expired,2023-05-25T21:48:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, ab92a339-3d02-4095-b2bf-f94100a515a3,233912498,BMO Financial Group,"Senior Analyst, Quantitative Analysis and Strategy",on_site,"Ontario, Canada",2023-06-08T15:39:07.219Z,"

                    Application Deadline:

                    06/08/2023

                    @@ -118309,54 +126511,358 @@ a8b6db8f-885a-4395-bc03-ee0d9bd5bc1c,226184565,CN,"Expert, Data Analysis and Gov

                    CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                    ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/10675?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-06-12T16:20:03.870Z,False,0,9,29,https://talenthub.vectorinstitute.ai/jobs/226184565-expert-data-analysis-and-governance-at-cn,,expired,2023-05-16T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, +dce896d2-e86c-4c1b-99f1-b43edf44653c,231046869,Roche,Data Sciences Product Leader - Data Quality Leader (Data Manager),on_site,"Mississauga, ON, Canada",2023-05-31T19:48:19.421Z,"

                    The Position

                    +

                    Data Sciences Product Leader - Data Quality Leader (Data Manager)

                    +

                    2 Year Contract

                    +

                    +

                    As a Data Sciences Product Leader you will be part of our Portfolio Delivery Pods within

                    +

                    Data Strategy and Delivery in PD Data Sciences. You will work as a Data Quality Leader

                    +

                    (Data Manager) within the Clinical Data Management (CDM) function and with a team of

                    +

                    experts in data life-cycle management who acquire and curate data for use in exploratory

                    +

                    research, clinical development and evidence generation. You will collaborate with peers

                    +

                    within the function and across the organization to identify, design and execute fit for purpose

                    +

                    data management solutions, adhering to F.A.I.R. (Findable, Accessible, Interoperable,

                    +

                    Reusable) principles. You will ensure the timely completion of data management

                    +

                    deliverables and partner with External Business Partners (ExBPs) and vendors, overseeing

                    +

                    and providing technical expertise in the delivery of high quality data. You may also contribute

                    +

                    to functional, cross functional, enterprise-wide or external initiatives that shape our technical

                    +

                    landscape, business and healthcare environments. You will need strong strategic,

                    +

                    collaboration and communication skills, as well as an entrepreneurial mindset, to evolve the

                    +

                    way we collect and deliver data and to develop and deliver medicines for our patients.

                    +

                    +

                    Responsibilities

                    +

                    ● Collaborate with peers within the function and across the organization to identify,

                    +

                    design and execute fit for purpose data management solutions, ensuring FAIR

                    +

                    principles are adhered to.

                    +

                    ● Act as experts for data collection and acquisition, advising teams and stakeholders

                    +

                    on best practices and proposing innovative solutions. e.g. the collection of new data

                    +

                    types (e.g. emergent biomarkers), new technologies (e.g. sensors), and new data

                    +

                    sources (e.g. RWD, EMR).

                    +

                    ● Partner with and provide oversight of data management deliverables (e.g. Work-

                    +

                    Packages) to our External Business Partners (ExBPs) and vendors. Provide Quality

                    +

                    Assurance on tasks as applicable to ensure a high quality of data and compliance

                    +

                    with applicable pharma industry regulations and standards.

                    +

                    ● Proactively manage timelines and track decisions, ensuring successful delivery of the

                    +

                    study work packages carried out at ExBPs. Continue to be accountable for quality

                    +

                    and where needed, provide support in the form of business and technical expertise to

                    +

                    our ExBPs.

                    +

                    ● Oversee ExBPs in Sample management and eManifest process, ensuring timely,

                    +

                    proactive resolution of queries.

                    +

                    ● Proactively engage with stakeholders across the business to understand their needs

                    +

                    and influence their understanding of decisions made in our function. Inform

                    +

                    stakeholders of status of key deliverables and act on changing milestones.

                    +

                    ● Partner with stakeholders to understand their data insight needs and offer Data

                    +

                    Management solutions. Demonstrate a strong understanding of the data flow from

                    +

                    collection through to analysis and filing.

                    +

                    ● Partner with relevant functions for external data vendor selection and management.

                    +

                    Oversee development of data transfer agreements with vendors ensuring use of

                    +

                    standards, fit-for-purpose data models and transfer intervals.

                    +

                    ● Use data surveillance tools and strategies to provide aggregate level reviews

                    +

                    designed to identify patterns or anomalies in our data to ensure high quality results.

                    +

                    ● Collaborate and contribute to functional/cross-functional initiatives or goals to

                    +

                    promote new ways of working, including emerging technologies. Enable broader and

                    +

                    more effective use of data to support the business.

                    +

                    +

                    Qualifications

                    +

                    ● BSc or MSc in Life Sciences, Data/Computer Science, Bioinformatics OR equivalent

                    +

                    industry experience.

                    +

                    ● Experience in leading CDM study teams and maintaining oversight of all start-up,

                    +

                    conduct and close-out activities for multiple or complex studies, ensuring fit for

                    +

                    purpose quality (including oversight of ExBPs, Vendors, CROs and Collaborative

                    +

                    Groups).

                    +

                    ● Experience in leading the collection of clinical trial data and/or Real World Data.

                    +

                    ● Good understanding of molecule and disease area strategies, healthcare

                    +

                    environments, as well as strong scientific and technical expertise.

                    +

                    ● Demonstrated strong collaboration and excellent communication skills – both written

                    +

                    and oral (proficiency in English required).

                    +

                    ● Knowledge of CDISC data standards.

                    +

                    ● Knowledge of ICH-GCP and working in regulated environments.

                    +

                    ● Project Management skills.

                    +

                    ● Able to manage multiple requests and priorities.

                    +

                    ● Demonstrated leadership capabilities around decision-making, negotiation,

                    +

                    motivation (self and others) and influencing.

                    +

                    ● Experience with data analytics and/or visualization tools and techniques.

                    +

                    ● Demonstrated entrepreneurial mindset and self-direction, ability to mentor others and

                    +

                    willingness to learn new techniques.

                    +

                    ● Knowledge of biological principles, display interest and demonstrate scientific

                    +

                    curiosity including an understanding of data types and their scientific use (clinical,

                    +

                    biomarker, WGS, RNA-seq, etc.).

                    +

                    ● Extensive technical and/or industry experience required for senior roles.

                    +

                    +

                    +

                    Who we are

                    +

                    At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

                    +

                    +

                    Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche's truly innovative culture.

                    +

                    +

                    As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

                    +

                    +

                    Roche is an Equal Opportunity Employer.

                    ",,https://careers.roche.com/global/en/job/ROCHGLOBAL202305110701EXTERNALENGLOBAL/Data-Sciences-Product-Leader-Data-Quality-Leader-Data-Manager,aitalent@vectorinsitute.ai,https://www.roche.com/careers.htm,,,2023-06-12T21:47:00.000Z,False,0,9,42,https://talenthub.vectorinstitute.ai/jobs/231046869-data-sciences-product-leader-data-quality-leader-data-manager-at-roche,,expired,2023-05-31T19:48:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Team Lead,Bachelors Degree,New Posting, 1f0ae357-a77c-478c-be04-0caa9942f5c8,233912500,BMO Financial Group,Intermediate ETL developer,on_site,"Ontario, Canada",2023-06-08T15:39:07.373Z,"

                    Application Deadline:

                    07/30/2023

                    -

                    Address:

                    VIRTUAL(R)59 - HomeRes - ON - BMO

                    +

                    Address:

                    VIRTUAL(R)59 - HomeRes - ON - BMO

                    +

                    +

                    Job Family Group:

                    Data Analytics & Reporting

                    +

                    +

                    +

                    +
                    • +

                      Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                      +
                        +
                      • Builds effective relationships with internal/external stakeholders.

                      • +
                      • Leads/participates in the design, implementation and management of new analytics & reporting solutions.

                      • +
                      • Designs, develops, and implements innovative analytical solutions.

                      • +
                      • Designs and produces regular and ad-hoc reports, and dashboards.

                      • +
                      • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.

                      • +
                      • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).

                      • +
                      • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.

                      • +
                      • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.

                      • +
                      • Designs, develops, and implements innovative analytical solutions.

                      • +
                      • Designs and produces regular and ad-hoc reports, and dashboards.

                      • +
                      • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.

                      • +
                      • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.

                      • +
                      • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.

                      • +
                      • Analyzes data and information to provide subject-matter insights and recommendations.

                      • +
                      • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.

                      • +
                      • Documents and maintain operational procedures and processes relating to analytical and reporting processes.

                      • +
                      • Builds effective relationships with internal/external stakeholders.

                      • +
                      • Collaborates with internal and external stakeholders in order to deliver on business objectives.

                      • +
                      • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.

                      • +
                      • Exercises judgment to identify, diagnose, and solve problems within given rules.

                      • +
                      • Works independently on a range of complex tasks, which may include unique situations.

                      • +
                      • Broader work or accountabilities may be assigned as needed

                      • +
                      • Qualifications:

                      • +
                      • Typically, between 6-10 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

                      • +
                      • Minimum 5 years of experience in T-SQL (queries, stored procedures, triggers, functions, views, tables, constraints, etc.), and SQL server administration

                      • +
                      • 3 years of experience in Database Design and SQL server performance tuning

                      • +
                      • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to ETL, SQL, SAS, Spotfire, Tableau, R, Python, MATLAB, SPSS - Very good.

                      • +
                      • Technical proficiency gained through education and/or business experience.

                      • +
                      • Verbal & written communication skills - In-depth.

                      • +
                      • Collaboration & team skills - In-depth.

                      • +
                      • Analytical and problem-solving skills - In-depth.

                      • +
                      • Influence skills - In-depth.

                      • +
                      • Data driven decision making - In-depth.

                      • +
                      +

                      +
                    +

                    +

                    +

                    We’re here to help

                    +

                    +

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    +

                    +

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    +

                    +

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    +

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    +

                    +

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/VIRTUALR59---HomeRes---ON---BMO/Intermediate-ETL-developer_R230008259?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-06-12T21:48:00.000Z,False,0,2,8,https://talenthub.vectorinstitute.ai/jobs/233912500-intermediate-etl-developer-at-bmo-financial-group,,expired,2023-06-08T15:39:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +36226944-a3c3-421b-a6dd-dbee773c5af0,235579016,Sun Life Financial,Senior Data Engineer,on_site,"Ontario, Canada",2023-06-12T16:10:01.844Z,"
                    +

                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                    +

                    +

                    +

                    Job Description:

                    +

                    +

                    At Sun Life, we work together, share common values and encourage growth and achievement. We offer many career paths that attract a wide variety of talent and skills. Follow a path that lets your talents shine.

                    +

                    +

                    Role Summary:

                    +

                    +

                    The Client Experience Office (CXO) is an important pillar of Sun Life’s corporate strategy and as such, is seeking experienced data engineering individuals with a proven track record working with data consumers to extract meaningful insights from enterprise data. Senior Business data engineers play an indispensable role in assembling the necessary data products that fuel myriad of analytical models used by our various business units across Canada.

                    +

                    +

                    Reporting to the Manager of Data Engineering, the Senior Business Data Engineer will be a key member of Data Enablement Team responsible for building enriched data products that provide deep insights about our Client, Advisor, Product, Transactions along with their intricate relationships. The Senior Business Data Engineer will work with data analysts and data scientists to help answer complex business enquires such as identifying new business opportunities, understanding our client behavior and optimizing areas of our sales cycles.

                    +

                    +

                    What will you do?

                    +
                      +
                    • Obsessed with understanding our enterprise data and interpreting it in the best way possible to derive business value

                    • +
                    • Design and engineer data models that represent our key business entities such as our Advisor, Client & Product

                    • +
                    • Ensure high level of data quality and data integrity are maintained across data sources for business

                    • +
                    • Convert complex business and technical rules into logic for data flows and data pipelines

                    • +
                    • Work with our Data Science teams to implement data products for various use cases

                    • +
                    • Collaborate with stakeholders and incorporate into solution design for various use case requirements

                    • +
                    • Standardize metadata into a common glossary along with the necessary documentation for data consumers

                    • +
                    +

                    +

                    What do you need to succeed?

                    +
                      +
                    • 3-5 years hands-on experience working on AWS technologies for data processing and analytics

                    • +
                    • 2+ years experience with AWS Glue for ETL

                    • +
                    • 3 years experience in Pyspark and SQL

                    • +
                    • 5 years hands-on experience with relational database systems, relational models, dimensional models etc.

                    • +
                    • 3-5 years experience with engineering data products as input to various analytical models

                    • +
                    • 3-5 years building feedback loops between model deployment and its data – i.e. tune & tweak data products to achieve scale, optimization, etc.

                    • +
                    • Sound understanding of data management principles (data warehousing, data quality, master data management, etc.)

                    • +
                    • Sound understanding of data modelling and a passion for analytics

                    • +
                    • Proven track record in leveraging SQL and SQL-based programming to solve business problems

                    • +
                    • Ability to translate complex business requirements into a set of data ingestion pseudocode

                    • +
                    • Proven ability to leverage knowledge of data engineering to extract, conform and integrate a variety of operational data sources into pro‐duction-grade data products

                    • +
                    • Demonstrate blend of tenacity, creativity, and discipline required to develop ground breaking self-serve data models that data scientists can consume

                    • +
                    • Excellent verbal and written communication skills; have executive presence and proven ability to partner with Data Scientists to articulate insights gleaned from the model and the underlying data

                    • +
                    +

                    +

                    Education and Qualifications:

                    +
                      +
                    • Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent

                    • +
                    • Graduate degree in business or quantitative science strongly preferred

                    • +
                    +

                    +

                    Unique Requirements

                    +
                      +
                    • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

                    • +
                    • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                    • +
                    +

                    +

                    What would be nice to have?

                    +
                      +
                    • Understand and Embrace Agile Operating Model

                    • +
                    • Proven Experienced working as Product Owner in Scrum or Service Request Manager in Kanban projects

                    • +
                    • Experience working in a large financial services organization

                    • +
                    • Knowledge of fundamental statistical models & techniques

                    • +
                    +

                    +

                    What\'s In It For You?

                    +
                      +
                    • Great Place to Work® Certified in Canada and the US - 2022

                    • +
                    • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                    • +
                    • Named “Best Places to Work” by Glassdoor - 2021

                    • +
                    • Canada Award for Excellence for Mental Health at Work - 2021

                    • +
                    • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid, #LI-Remote

                    • +
                    • Competitive salary and bonus structure influenced by market range data

                    • +
                    • Pension, stock and savings programs to help build and enhance your future financial security

                    • +
                    • A friendly, collaborative, and inclusive culture

                    • +
                    • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

                    • +
                    • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                    • +
                    +

                    +

                    +

                    The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                    +

                    +

                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                    +

                    +

                    Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                    +

                    +

                    At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                    +

                    +

                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                    +

                    +

                    Salary Range:

                    74,100/74 100 - 120,800/120 800

                    +

                    Job Category:

                    Advanced Analytics

                    +

                    Posting End Date:

                    18/06/2023
                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Business-Data-Engineer_JR00076392-2?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-06-19T23:54:00.000Z,False,0,3,17,https://talenthub.vectorinstitute.ai/jobs/235579016-senior-data-engineer-at-sun-life-financial,,expired,2023-06-12T16:10:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +0a8b9b5d-7301-405a-92e6-6f5e5070b501,229115222,Scotiabank,"First Nations/Metis/Inuit - Senior Analyst, Data & Analytics, Fully Remote Career Opportunity",on_site,Canada : Ontario : Toronto || Canada : Ontario : Kingston || Canada : Ontario : Ottawa || Canada : Ontario : Sudbury || Canada : Ontario : Thunder Bay,2023-05-25T15:52:03.085Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 177183

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    This posting is intended for Indigenous Peoples as a Special Program under the Human Rights Act and the Employment Equity Act. Indigenous Peoples include status, non-status First Nation, Métis and Inuit People under the Employment Equity Act within Canada. Scotiabank provides extended benefits to Indigenous employees aimed at supporting and promoting their culture.

                    +

                    +

                    Who we are:

                    +

                    +

                    The Global Risk Management, Retail Credit Risk manages the risks of lending credit to retail and small business customers, maximizing profitability and includes: Risk Technology, Retail Risk Secured Lending and Small Business, and Retail Risk Data and Analytics. This contains analyzing the effectiveness of risk strategies, performing portfolio trend analysis, and pulling, summarizing, and presenting data.

                    +

                    +

                    What you can expect:

                    +

                    +

                    Portfolio Monitoring

                    +
                    • Create and maintain reports and dashboards that provide actionable insights.
                    • Execute on data requests accurately within a timely manner.
                    • Owner of the end-to-end reporting process (from raw data in SQL tables to automated production-grade dashboards) and be the key point of contact.
                    • Improve monitoring on new accounts acquired through different channels and special programs. Track vintage performance and ensure a healthy growth of the portfolio.
                    • +
                    +

                    +

                    Origination Strategies

                    +
                    • Analyze strategy effectiveness and proactively identify any emerging risks, make recommendations to support business growth while maintaining losses within risk appetite.
                    • Ensure all new approved credit is aligned with risk appetite and regulatory requirements and will optimize risk/return over the long term.
                    • Gain a deep understanding of various adjudication platforms and systems. Implement strategy changes across different technology platforms and channels.
                    • Identify opportunities to improve/test new risk strategies with building a robust and competitive portfolio in mind.
                    • +
                    +

                    +

                    Support Business Line Initiatives/Projects

                    +
                    • Collaborate and communicate effectively with business partners (product, operation, customer growth etc.) on new acquisition initiatives.
                    • Represent Risk’s point of view and liaise with stakeholders throughout the organization to listen actively, communicate, and explain risk measures clearly and as appropriate.
                    • +
                    +

                    +

                    What we look for in successful candidates:

                    +

                    +
                    • A University degree in Mathematics, Computer Science, Engineering, Economics, Science, Finance or Business or 1 year of experience working in data analytics or data science
                    • Must be comfortable manipulating data
                    • Strong leadership, collaboration, and communication skills
                    • Results driven individual with high level of curiosity and ability to dive into details without losing sight of the big picture
                    • Exceptional organization skills to prioritize, manage, and implement a variety of competing initiatives, on a concurrent or staggered basis
                    • Willingness to learn SAS, SQL, R or Python
                    • +
                    +

                    +

                    #riskjobsontario

                    +

                    +

                    Location(s): Canada : Ontario : Toronto || Canada : Ontario : Kingston || Canada : Ontario : Ottawa || Canada : Ontario : Sudbury || Canada : Ontario : Thunder Bay

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-First-NationsMetisInuit-Senior-Analyst%2C-Data-&-Analytics%2C-Fully-Remote-Career-Opportunity-ON/569686317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-19T15:57:03.647Z,False,0,3,17,https://talenthub.vectorinstitute.ai/jobs/229115222-first-nations-metis-inuit-senior-analyst-data-analytics-fully-remote-career-opportunity-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-First-NationsMetisInuit-Senior-Analyst%2C-Data-&-Analytics%2C-Fully-Remote-Career-Opportunity-ON/569686317/,expired,2023-05-25T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +d713bcee-57f5-4b9b-9cf4-37586693a153,228135288,BMO Financial Group,"Senior Analyst, Business Banking Credit Risk Analytics (Hybrid)",on_site,"Ontario, Canada",2023-05-22T15:39:03.190Z,"
                    +

                    Application Deadline:

                    08/17/2023

                    +

                    +

                    Address:

                    33 Dundas Street West

                    Job Family Group:

                    Data Analytics & Reporting

                    -
                    • -

                      Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                      +

                      MANDATE

                      +

                      +

                      The Senior Analyst, Business Banking Credit Risk Analytics supports the execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies. She/he further supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance, and minimizes risk.

                      +

                      +

                      The role has three primary areas of accountability which are described in more detail below. Across all these areas, he/she acts as a trusted advisor to Risk and the business, providing specialized consulting, analytical and technical support. This includes engaging key stakeholders on objectives and requirements, building effective analyses & tools to support decisions, and presenting findings in a simple, clear way to drive action. While this role focuses on Business Banking across North America, it may also work on broader enterprise-wide initiatives.

                      +

                      +

                      Develop Strategy and Portfolio level monitoring that yield insight

                        -
                      • Builds effective relationships with internal/external stakeholders.

                      • -
                      • Leads/participates in the design, implementation and management of new analytics & reporting solutions.

                      • -
                      • Designs, develops, and implements innovative analytical solutions.

                      • -
                      • Designs and produces regular and ad-hoc reports, and dashboards.

                      • -
                      • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.

                      • -
                      • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).

                      • -
                      • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.

                      • -
                      • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.

                      • -
                      • Designs, develops, and implements innovative analytical solutions.

                      • -
                      • Designs and produces regular and ad-hoc reports, and dashboards.

                      • -
                      • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.

                      • -
                      • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.

                      • -
                      • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.

                      • -
                      • Analyzes data and information to provide subject-matter insights and recommendations.

                      • -
                      • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.

                      • -
                      • Documents and maintain operational procedures and processes relating to analytical and reporting processes.

                      • -
                      • Builds effective relationships with internal/external stakeholders.

                      • -
                      • Collaborates with internal and external stakeholders in order to deliver on business objectives.

                      • -
                      • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.

                      • -
                      • Exercises judgment to identify, diagnose, and solve problems within given rules.

                      • -
                      • Works independently on a range of complex tasks, which may include unique situations.

                      • -
                      • Broader work or accountabilities may be assigned as needed

                      • -
                      • Qualifications:

                      • -
                      • Typically, between 6-10 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

                      • -
                      • Minimum 5 years of experience in T-SQL (queries, stored procedures, triggers, functions, views, tables, constraints, etc.), and SQL server administration

                      • -
                      • 3 years of experience in Database Design and SQL server performance tuning

                      • -
                      • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to ETL, SQL, SAS, Spotfire, Tableau, R, Python, MATLAB, SPSS - Very good.

                      • -
                      • Technical proficiency gained through education and/or business experience.

                      • -
                      • Verbal & written communication skills - In-depth.

                      • -
                      • Collaboration & team skills - In-depth.

                      • -
                      • Analytical and problem-solving skills - In-depth.

                      • -
                      • Influence skills - In-depth.

                      • -
                      • Data driven decision making - In-depth.

                      • +
                      • Create presentations and self-service tools to allow Senior Executives, Product Partners and other stakeholders to clearly understand the performance of Credit Strategies and the Overall North American Business Banking portfolio.
                      • +
                      • Conducts independent analysis and assessment to resolve strategic issues.
                      • +
                      • Highlight insights that drive improvements in business profitability and performance, including identification of emerging issues and trends.
                      • +
                      • Continuously improve consistency and transparency of risk measurement, metrics and reporting
                      • +
                      • Develop a strong understanding of Business Banking Data Architecture and how data flows between systems.
                      • +
                      • Determine the optimal sources of data for timely and effective monitoring. Surface opportunities to further improve the accuracy and timeliness of reports.
                      • +
                      • Assemble presentations that are intuitive, easily digestible and action oriented.
                      • +
                      • Support strong governance of reporting processes. Participate in any migration projects that will impact the availability and meaning of Business Banking data.
                      • +
                      • Support the maintenance of operational procedures and processes related to analytical and reporting processes.
                      • +
                      +

                      +

                      +

                      Forecast Portfolio Performance

                      +
                        +
                      • Participate in regular forecasting discussions, particularly around PCL (Provision for Credit Losses).
                      • +
                      • Maintain strong relationships with Collections units to foresee performance trends that may impact forecasts.
                      • +
                      • Undertake stress testing or other performance analyses to understand the range of potential financial outcomes.
                      • +
                      +

                      +

                      Oversee development of Risk and Capital Models

                      +
                        +
                      • Establish effective working relationships with Canadian and US modeling teams
                      • +
                      • Support Business Banking Credit leaders in overseeing model performance and understanding shifts in their performance. Petition for new models as performance deteriorates.
                      • +
                      • Collaborate on the development of new models by providing business insights into the selection and use of variables. Ensure datasets used for model development are robust, and that new model implementation is thoroughly tested and reliable.
                      • +
                      +

                      +

                      ____________________________________________________________________________________

                      +

                      +

                      KNOWLEDGE AND SKILLS

                      +

                      +

                      Knowledge & Experience

                      +

                      +
                        +
                      • Typically, 1-3 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                      • +
                      • In-depth:
                          +
                        • Verbal & written communication skills
                        • +
                        • Collaboration & team skills
                        • +
                        • Analytical and problem-solving skills
                        • +
                        • Influencing skills
                        • +
                        • Data driven decision making skills
                        • +
                        • Knowledge of reporting & analytics concepts and applications
                        • +
                        +
                      • +
                      +

                      +
                      • Knowledge of the following is beneficial:
                          +
                        • Risk management metrics: KPIs and KRIs
                        • +
                        • Industry trends and regulatory requirements for risk reporting
                        • +
                        • Risk modeling
                        • +
                        • Loss forecasting
                        • +
                        +
                      +

                      Skills

                      +

                      +
                        +
                      • Strong financial, quantitative, and analytic skills to make data driven decisions
                      • +
                      • In depth expertise with key technologies including SAS, SQL, Power BI, Python, Microsoft Products
                      • +
                      • Proven ability to apply expertise and creativity to solve complex problems and manage ambiguity
                      • +
                      • Excellent communication skills (oral and written)
                      • +
                      • Team-oriented, collaborative and flexible
                      • +
                      • Strong time management and project management skills
                      -

                      -

                    We’re here to help

                    @@ -118370,355 +126876,283 @@ a8b6db8f-885a-4395-bc03-ee0d9bd5bc1c,226184565,CN,"Expert, Data Analysis and Gov

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    -
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/VIRTUALR59---HomeRes---ON---BMO/Intermediate-ETL-developer_R230008259?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-06-12T21:48:00.000Z,False,0,2,8,https://talenthub.vectorinstitute.ai/jobs/233912500-intermediate-etl-developer-at-bmo-financial-group,,expired,2023-06-08T15:39:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -dce896d2-e86c-4c1b-99f1-b43edf44653c,231046869,Roche,Data Sciences Product Leader - Data Quality Leader (Data Manager),on_site,"Mississauga, ON, Canada",2023-05-31T19:48:19.421Z,"

                    The Position

                    -

                    Data Sciences Product Leader - Data Quality Leader (Data Manager)

                    -

                    2 Year Contract

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Analyst--Business-Banking-Credit-Risk-Analytics--Hybrid-_R230009312?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-06-22T19:46:23.246Z,False,0,5,20,https://talenthub.vectorinstitute.ai/jobs/228135288-senior-analyst-business-banking-credit-risk-analytics-hybrid-at-bmo-financial-group,,expired,2023-05-22T15:39:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +675ee98b-c17f-4bfb-b023-68246bbb9f93,235578414,RBC,"Lead Data Scientist, Fraud Data Science and Innovation",on_site,"Toronto, ON, Canada",2023-06-12T15:47:02.009Z,"
                    +

                    Come Work with Us!

                    At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                    Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                    +

                    Job Title

                    Lead Data Scientist, Fraud Data Science and Innovation

                    -

                    As a Data Sciences Product Leader you will be part of our Portfolio Delivery Pods within

                    -

                    Data Strategy and Delivery in PD Data Sciences. You will work as a Data Quality Leader

                    -

                    (Data Manager) within the Clinical Data Management (CDM) function and with a team of

                    -

                    experts in data life-cycle management who acquire and curate data for use in exploratory

                    -

                    research, clinical development and evidence generation. You will collaborate with peers

                    -

                    within the function and across the organization to identify, design and execute fit for purpose

                    -

                    data management solutions, adhering to F.A.I.R. (Findable, Accessible, Interoperable,

                    -

                    Reusable) principles. You will ensure the timely completion of data management

                    -

                    deliverables and partner with External Business Partners (ExBPs) and vendors, overseeing

                    -

                    and providing technical expertise in the delivery of high quality data. You may also contribute

                    -

                    to functional, cross functional, enterprise-wide or external initiatives that shape our technical

                    -

                    landscape, business and healthcare environments. You will need strong strategic,

                    -

                    collaboration and communication skills, as well as an entrepreneurial mindset, to evolve the

                    -

                    way we collect and deliver data and to develop and deliver medicines for our patients.

                    +

                    Job Description

                    +

                    What\'s the opportunity?

                    +

                    You will lead Fraud Management(FM) Machine Learning(ML) and Artificial Intelligence(AI) advancements, develop strategy for predictive fraud detection ML models and explore ML/AI technique application. You will set standards for ML model development, ensuring consistency, accuracy and repeatability, collaborate with partners and work with Fraud Strategy, Fraud IT and Enterprise Model Risk Management(EMRM) on emerging fraud risks, solution design and model validation frameworks. You will fully comprehend the technical architecture supporting the Fraud decisioning ecosystem and how it supports DSA detection requirements. As a Subject Matter Expert (SME) on FM initiatives, you will collaborate with stakeholders at varying levels of seniority.

                    -

                    Responsibilities

                    -

                    ● Collaborate with peers within the function and across the organization to identify,

                    -

                    design and execute fit for purpose data management solutions, ensuring FAIR

                    -

                    principles are adhered to.

                    -

                    ● Act as experts for data collection and acquisition, advising teams and stakeholders

                    -

                    on best practices and proposing innovative solutions. e.g. the collection of new data

                    -

                    types (e.g. emergent biomarkers), new technologies (e.g. sensors), and new data

                    -

                    sources (e.g. RWD, EMR).

                    -

                    ● Partner with and provide oversight of data management deliverables (e.g. Work-

                    -

                    Packages) to our External Business Partners (ExBPs) and vendors. Provide Quality

                    -

                    Assurance on tasks as applicable to ensure a high quality of data and compliance

                    -

                    with applicable pharma industry regulations and standards.

                    -

                    ● Proactively manage timelines and track decisions, ensuring successful delivery of the

                    -

                    study work packages carried out at ExBPs. Continue to be accountable for quality

                    -

                    and where needed, provide support in the form of business and technical expertise to

                    -

                    our ExBPs.

                    -

                    ● Oversee ExBPs in Sample management and eManifest process, ensuring timely,

                    -

                    proactive resolution of queries.

                    -

                    ● Proactively engage with stakeholders across the business to understand their needs

                    -

                    and influence their understanding of decisions made in our function. Inform

                    -

                    stakeholders of status of key deliverables and act on changing milestones.

                    -

                    ● Partner with stakeholders to understand their data insight needs and offer Data

                    -

                    Management solutions. Demonstrate a strong understanding of the data flow from

                    -

                    collection through to analysis and filing.

                    -

                    ● Partner with relevant functions for external data vendor selection and management.

                    -

                    Oversee development of data transfer agreements with vendors ensuring use of

                    -

                    standards, fit-for-purpose data models and transfer intervals.

                    -

                    ● Use data surveillance tools and strategies to provide aggregate level reviews

                    -

                    designed to identify patterns or anomalies in our data to ensure high quality results.

                    -

                    ● Collaborate and contribute to functional/cross-functional initiatives or goals to

                    -

                    promote new ways of working, including emerging technologies. Enable broader and

                    -

                    more effective use of data to support the business.

                    +

                    What will you do?

                    +
                      +
                    • Lead the development and implementation of the Data Science Machine Learning (ML) strategy and act as key point of contact for all ML models
                    • +
                    • Develop supervised fraud detection models and explore opportunities for unsupervised/anomaly detection/NLP applications
                    • +
                    • Plan timelines, resource allocation, standards and best practices for ML model development with DS&I and be responsible for technical validation exercises for new model deployments
                    • +
                    • Collaborate effectively with partners in Fraud IT on continuous improvement of the fraud detection ecosystem, understanding the technical requirements and their impact on the business users in DSA
                    • +
                    • Work with EMRM to enable efficient model validation and develop a strong relationship with Fraud Strategy partners focused on identifying emerging fraud risks and how the application of ML can minimize these risks
                    • +
                    • Identify opportunities and develop solutions to automate/enhance processes through analytical tools and workflows; and utilize technology tools to build the most effective solution; Python, R, Spark, PySpark, etc.
                    • +
                    • Provide thought leadership to support Fraud Management’s key priorities where there is a dependence on data analytics, machine learning or data engineering
                    • +
                    • Leverage expertise with ML and programming to provide support to the rest of the DSA team as required
                    • +

                    -

                    Qualifications

                    -

                    ● BSc or MSc in Life Sciences, Data/Computer Science, Bioinformatics OR equivalent

                    -

                    industry experience.

                    -

                    ● Experience in leading CDM study teams and maintaining oversight of all start-up,

                    -

                    conduct and close-out activities for multiple or complex studies, ensuring fit for

                    -

                    purpose quality (including oversight of ExBPs, Vendors, CROs and Collaborative

                    -

                    Groups).

                    -

                    ● Experience in leading the collection of clinical trial data and/or Real World Data.

                    -

                    ● Good understanding of molecule and disease area strategies, healthcare

                    -

                    environments, as well as strong scientific and technical expertise.

                    -

                    ● Demonstrated strong collaboration and excellent communication skills – both written

                    -

                    and oral (proficiency in English required).

                    -

                    ● Knowledge of CDISC data standards.

                    -

                    ● Knowledge of ICH-GCP and working in regulated environments.

                    -

                    ● Project Management skills.

                    -

                    ● Able to manage multiple requests and priorities.

                    -

                    ● Demonstrated leadership capabilities around decision-making, negotiation,

                    -

                    motivation (self and others) and influencing.

                    -

                    ● Experience with data analytics and/or visualization tools and techniques.

                    -

                    ● Demonstrated entrepreneurial mindset and self-direction, ability to mentor others and

                    -

                    willingness to learn new techniques.

                    -

                    ● Knowledge of biological principles, display interest and demonstrate scientific

                    -

                    curiosity including an understanding of data types and their scientific use (clinical,

                    -

                    biomarker, WGS, RNA-seq, etc.).

                    -

                    ● Extensive technical and/or industry experience required for senior roles.

                    +

                    What you need to succeed

                    +

                    Must have:

                    +
                      +
                    • 5+ years of experience in Machine Learning, data mining and statistics
                    • +
                    • Strong practical knowledge of, and proven experience with, analytical software packages and programming languages: Python, R, SQL, etc.
                    • +
                    • Working knowledge of Big Data Framework (Hadoop, etc.)
                    • +
                    • Strong understanding of version control (Git/GitHub)
                    • +
                    • Strong problem solving, research and quantitative skills
                    • +
                    • Exceptional time management and organizational skills, ability to manage multiple projects simultaneously and prioritize workload effectively
                    • +
                    • Proven ability to perform complex data analysis on large volumes of data
                    • +
                    • Professional oral and written communication and presentation skills, including the ability to effectively communicate analytical recommendations to both technical and non-technical audiences.
                    • +
                    • Knowledge of Canadian banking and payment industry, payments transaction data and financial fraud
                    • +
                    • Bachelor’s degree in a quantitative discipline
                    • +

                    +

                    Nice to have:

                    +
                      +
                    • Graduate degree in a quantitative discipline
                    • +
                    • Experience with Docker and Kubernetes
                    • +
                    • Experience with Cloud technologies (Azure, AWS, OpenShift)
                    • +
                    • Prior experience in fraud detection and data analytics
                    • +

                    -

                    Who we are

                    -

                    At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

                    +

                    What’s in it for you?

                    +

                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                    +
                      +
                    • A comprehensive Total Rewards Program
                    • +
                    • Leaders who support your development
                    • +
                    • Ability to make a difference and lasting impact
                    • +
                    • Opportunity to take on progressively greater accountabilities
                    • +

                    -

                    Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche's truly innovative culture.

                    -

                    As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

                    -

                    Roche is an Equal Opportunity Employer.

                    ",,https://careers.roche.com/global/en/job/ROCHGLOBAL202305110701EXTERNALENGLOBAL/Data-Sciences-Product-Leader-Data-Quality-Leader-Data-Manager,aitalent@vectorinsitute.ai,https://www.roche.com/careers.htm,,,2023-06-12T21:47:00.000Z,False,0,9,42,https://talenthub.vectorinstitute.ai/jobs/231046869-data-sciences-product-leader-data-quality-leader-data-manager-at-roche,,expired,2023-05-31T19:48:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Team Lead,Bachelors Degree,New Posting, -39c8f8e0-d27e-4850-8fb2-dbf405b4497d,226183789,TD Bank Group,Data Scientist I,on_site,"Toronto, ON",2023-05-16T15:53:05.844Z,"
                    +

                    Job Summary

                    +

                    Address:

                    TORONTO, Ontario, Canada

                    City:

                    CAN-ON-TORONTO

                    Country:

                    Canada

                    Work hours/week:

                    37.5

                    Employment Type:

                    Full time

                    Platform:

                    Personal and Commercial Banking

                    Job Type:

                    Regular

                    Pay Type:

                    Salaried

                    Posted Date:

                    2023-06-08

                    Application Deadline:

                    2023-06-23
                    +

                    Inclusion and Equal Opportunity Employment

                    +

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    +
                    +

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                    +
                    ",,https://jobs.rbc.com/ca/en/job/R-0000061221/Lead-Data-Scientist-Fraud-Data-Science-and-Innovation,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-06-26T23:30:00.000Z,False,0,4,39,https://talenthub.vectorinstitute.ai/jobs/235578414-lead-data-scientist-fraud-data-science-and-innovation-at-rbc,,expired,2023-06-12T15:47:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, +bb527f80-f7bb-4be1-abc6-4179b92ea46a,230332233,EllisDon,Data Engineer,on_site,"Mississauga, ON L4Y1M4, CAN Mississauga, ON L4Y1M4, CAN",2023-05-29T16:04:02.100Z,"

                    Job Details

                    Description

                    +

                    Thinking about a change?

                    +

                    We recognize that the construction industry is changing at a rapid pace and we continually strive to be at the forefront. Our core values empower people to deliver great careers and develop creative solutions for complex problems on some of the most intricate projects. It doesn’t matter what your expertise and craft is – there are no boundaries. We are a group of leading professionals with a variety of expertise: engineers, investment bankers, superintendents, estimators, software engineers, accountants, lawyers, marketing and communications consultants, sustainability professionals, and project managers. As you can see, we are a diverse bunch.

                    +

                    In case you’re curious, here’s what the industry thinks of us and some cool things we have done.

                    +

                    You as a Data Engineer (Insight and Analytics) will:

                    +
                      +
                    • Be a technical lead in the development of high-volume platforms & Data pipelines
                    • +
                    • Work with relevant stakeholders to identify sources of data and map out processes/data flow while researching opportunities for data acquisition and innovative new uses for existing data.
                    • +
                    • Design, construct, install, test, and maintain highly scalable data management systems while integrating new data management technologies into existing structures.
                    • +
                    • Develop ETL processes to move internal and external data into EllisDon's external cloud-based data lake: Develop separate ETL processes to move data from data lake to data warehouse(s).
                    • +
                    • Provide input and feedback to support continuous improvement in team processes
                    • +
                    • Providing thought leadership for all data solutions, including designing data solutions that meet and exceed customer expectations.

                    • +
                    • Continually improve our data pipelines and find innovative ways to maximize automation while recommending ways to improve data reliability, efficiency, and quality.

                    • +
                    +

                    Is this the right role for you?

                    +
                      +
                    • Have knowledge and understanding of Programming Languages: Python and/or Java, SQL, ETL methodologies and toolsets, AWS/Google ecosystem, Database design, MS SQL, MySQL and/or Redshift/Big Query and NoSQL
                    • +
                    • Comfortable working in a fast-paced environment and collaborative environment
                    • +
                    +

                    EllisDon is proud to provide this unique career opportunity within a progressive environment with continuous learning and opportunity for growth, as well as a competitive compensation package.

                    +

                    Go ahead and be yourself. We'll pay you for it!

                    +

                    We are an equal opportunity employer. While only qualified candidates will be contacted for an interview, be sure to continually check our website for other related positions as they are posted.

                    +

                    Accommodation for Applicants will be made during the recruitment process when requested.

                    +

                    Apply today at www.ellisdon.com (or Share on LinkedIn , Facebook)

                    Qualifications

                    Skills

                    Behaviors

                    :

                    Motivations

                    :

                    Education

                    Experience

                    Licenses & Certifications

                    ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=eb088514-20c7-4271-a351-4055dce47ab4,feed-importer@jobboard.io,,,,2023-06-26T16:09:01.961Z,False,0,20,81,https://talenthub.vectorinstitute.ai/jobs/230332233-data-engineer-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=eb088514-20c7-4271-a351-4055dce47ab4,expired,2023-05-29T16:04:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Construction or Infrastructure,Associate,No Degree,New Posting, +d88859c6-a02b-4781-8ff5-0dcd3320f37b,237205969,Scotiabank,"Senior Associate, Research Analytics & Institutional Client Strategy",on_site,Canada : Ontario : Toronto,2023-06-17T15:52:03.836Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 174805

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    About the Team:
                    At Scotiabank, research is a key driver of our Global Equity platform. We specialize in the Canadian market, and we also supply targeted international research covering the United States and Latin America. Our top-ranked teams generate value-added equity ideas and themed publications. As well, we are constantly looking for ways to bring new products to market and provide clients with valuable research ideas and insights. Our products include daily company-specific investment views, monthly and quarterly sector updates, in-depth fundamental research reports, portfolio analysis and recommendations, and equity strategy commentary.

                    +

                    Position Highlights:
                    The Research Client Services Team (RCST) is responsible for supporting the Equity Research department by providing valuable internal analytical insights to management and research analysts for strategic decision-making and ensuring adherence to compliance requirements of the MiFID II regulation. As a member of the RCST, this position will assist in maintaining and developing the internal analytics capabilities of the team. This position will also assist with the administration of client research agreements and work closely with research analysts, senior management, and compliance teams as part of the overall MiFID II compliance framework.

                    +

                    Is this role right for you?

                    +
                    • Produce periodical analytical summary reports for the Research Management team
                    • Create analysis and reporting tools on an ad hoc basis to support internal data and analytical requests
                    • Create and maintain dashboards and reports that can be leveraged by users to find insights
                    • Analyze client accounts to identify outreach opportunities and gauge account profitability
                    • Work with Research Analysts to improve the format and delivery of their product
                    • Understand business processes to analyze, interpret, and advise staff on analytical findings
                    • Collaborate with stakeholders to ensure effective use of reporting and analysis, and provide support, if needed
                    • Understand and incorporate technology best practices with a primary focus on .NET and SQL
                    • Liaise with other internal analytics teams to ensure data accuracy and consistency across the firm
                    • Diligently perform quality assurance and assess operational and reputation risk
                    • Monitor and analyze buyside client consumption of the research product
                    • Respond to internal and external inquiries on the research product and agreements
                    • Issue invoices for research clients and track payments with internal Finance teams
                    • +
                    +

                    Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

                    +
                    • Technical mindset with an undergraduate degree in Computer Science or Engineering is required
                    • Excellent command of Microsoft Office, with an emphasis on Excel is required
                    • Proven experience in SQL and .NET is required
                    • Working knowledge of Angular and Python would be an asset
                    • Strong problem-solving and analytical skills
                    • Excellent written and verbal communication skills
                    • Attention to detail and time management skills
                    • Ability to produce meaningful results from data
                    • Proven experience consolidating and analyzing different data sources
                    • Ability to work collaboratively within a cross functional team environment
                    • Ability to succeed in a dynamic and fast-paced environment
                    • +
                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Senior-Associate%2C-Research-Analytics-&-Institutional-Client-Strategy/568224817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-26T23:31:00.000Z,False,0,5,18,https://talenthub.vectorinstitute.ai/jobs/237205969-senior-associate-research-analytics-institutional-client-strategy-at-scotiabank,https://jobs.scotiabank.com/job/Senior-Associate%2C-Research-Analytics-&-Institutional-Client-Strategy/568224817/,expired,2023-06-17T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +ef96249a-2473-4ca6-83b0-771bb1b36198,242607576,TD Bank Group,Asset Management Portfolio Analytics Developer Co-op,on_site,"Toronto, ON",2023-07-03T15:53:02.491Z,"

                    Company Overview

                    -

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    -

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    +

                    All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                    +

                    Why TD?

                    +

                    TD’s Colleague Promise: A better you. A better us.

                    +

                    A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                    Department Overview

                    -

                    The Global Compliance Department mission is to foster a culture of integrity, ethics and compliance and deliver independent risk management and oversight of regulatory compliance risk and conduct risk throughout TD. This is performed in accordance with the Global Compliance Department Mandate, in execution of the Global Compliance Operating Framework (GCOF). The department achieves this by independently assessing the adequacy of, adherence to and effectiveness of regulatory compliance management programs and controls in the business; delivering objective guidance and independent challenge; proactively managing regulatory change; and providing trusted and reliable reporting, advice and opinion to senior leadership and the Board on the state of regulatory compliance risks, controls and outcomes.

                    +
                    +

                    Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                    -

                    Job Description

                    -
                    -

                    About this Role

                    -

                    Do you want to dive into the intersection of fairness and machine learning? Do you want to tackle how we can leverage explainability approaches to open machine learning and AI black boxes for customers? Are you passionate about technology and ethics? If so, then this is a job for you.
                    As the backbone of our financial system, banks have rich large-scale datasets and are rapidly adopting machine learning solutions to improve customer experience and drive business performance. While machine learning is increasingly pervasive across society, there are many outstanding questions and challenges to ensure that ML/AI solutions are fair and transparent. In this position, you will play a key role in ensuring the ethical application of machine learning.

                    -

                    This position reports to the Senior Manager of the Compliance Oversight of Models Office. Detailed accountabilities include:

                    +

                    Our Co-op/Intern Programming is offered with select Co-op and Internship roles, and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                    +
                    • Leadership talks with key Leaders from across the organization

                      -
                    • Conduct research on how to identify, assess, and address ML modeling risks and associated concerns, especially fairness and explainability
                    • -
                    • Maintain up-to-date knowledge of techniques and developments in the field of machine learning and share knowledge with business partners and senior management
                    • -
                    • -Lead compliance review of machine learning use cases across TD, and build a close working relationship with business units across the Enterprise. Objectives include:
                        -
                      • Supporting compliance risk management associated with models used by TD;
                      • -
                      • Supporting the business in identifying models whose outcomes impact customers or communities;
                      • -
                      • Assessing models for regulatory compliance and conduct risk, including fair banking risk; and
                      • -
                      • Supporting the business in monitoring regulatory compliance and removing or mitigating conduct risk throughout the model lifecycles.
                      • -
                      -
                    • -
                    • Partner with Legal, Privacy, Model Validation and other Compliance Units
                    • -
                    • Represent Compliance in projects that have a regulatory compliance component and/or carry regulatory risk exposure related to the use of a model
                    • +
                    • Lunch and Learns on topics such as Innovation

                    • +
                    • Diversity and Inclusion and Personal Branding and so much more

                    -

                    The position involves working effectively with different internal partners such as TD Wealth, TD Insurance, ED&A, PBDA, and Layer 6 among others.

                    -

                    TEAM DESCRIPTION

                    -

                    The successful candidate will join the Compliance Oversight of Models Office (COMO), an interdisciplinary team that sits at the intersection of data science, regulatory understanding, and ethics. COMO is responsible for the global compliance oversight of models from a regulatory compliance and conduct risk perspective. COMO’s oversight spans the model lifecycle and engagement with disparate model stakeholders. The COMO mandate includes but is not limited to:

                    +

                    +

                    TD Asset Management Inc. (TDAM) is an Investment Management firm with leading market positions in active, quantitative and passive portfolio management serving a large and diversified client base including pension funds, corporations, institutions, endowments, foundations and high net worth individuals. We also offer private money management services and manage retail mutual funds.

                    +

                    +
                    +

                    +

                    Job Description

                    +
                    +

                    We are seeking a Full Stack Developer to join us in the Portfolio Research & Analytics team to build cutting-edge portfolio management applications using technologies such as Python, JavaScript – especially React & Redux frameworks, and SQL.

                    +

                    The web applications developed by the Portfolio Research & Analytics team are directly used in the daily management and monitoring of hundreds of billions of dollars in assets.

                    +

                    Why you should be excited about applying for this role:

                      -
                    • Assessing models for regulatory compliance and conduct risk;
                    • -
                    • Providing oversight and independent challenge to approaches used to identify, assess, and address model compliance risks and concerns (e.g., fairness/bias and explainability); and
                    • -
                    • Supporting the business in monitoring regulatory compliance and removing or mitigating conduct risk throughout the model lifecycle.
                    • +
                    • A chance to see the results of your work have immediate real-world impact

                    • +
                    • One-on-one mentoring

                    -

                    COMO embraces a multidisciplinary approach, celebrating the alternative, multi-faceted perspectives needed to ensure that AI is developed and deployed ethically. COMO is committed to helping team members develop professionally and expand their horizons because the best way to address the ML challenges of tomorrow is to have a team that can see those challenges today.

                    +
                    • Co-op events

                    +

                    Students will have the opportunity to work on several projects independently and see their code used in production. Students will gain extensive web and/or backend development experience, exposure to single page application architecture; Python programming experience at the application layer; and significant hands-on SQL database experience.

                    Requirements

                    -What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    -
                      -
                    • Hands-on data science expertise including, but not limited to, machine learning, statistics, and data visualization
                    • -
                    • Experience with/knowledge of methods, techniques and tools to support explainable AI (XAI) and address ML bias/fairness
                    • -
                    • The ability to stay abreast of developments in artificial intelligence and machine learning and provide thought leadership the same
                    • -
                    • The ability to effectively collaborate with technical and non-technical stakeholders across the model development lifecycle and as part of enterprise initiatives
                    • -
                    • Ability to influence people and deal with conflicting points of view and to effect creative and responsive solutions
                    • -
                    • Excellent verbal and written communication skills
                    • -
                    • Comfort representing Compliance in executive-level initiatives and meetings, and working with all levels of staff within the Enterprise
                    • -
                    • Work effectively as a team to peer review other team members’ work and share knowledge
                    • -
                    • Assist with response to regulatory inquiries, examinations and investigations as applicable.
                    • -
                    • Represent Compliance in projects that have a regulatory compliance component and/or carry regulatory risk exposure.
                    • -
                    • Quick learner who constantly works on improving skills and expertise.
                    • -
                    • Good time management and multitasking skills with minimal supervision.
                    • -
                    -

                    EXPERIENCE & EDUCATION:

                      -
                    • Postgraduate degree (preferably in computer science, math, statistics, engineering, or related quantitative field)
                    • -
                    • Knowledge of the machine learning model development lifecycle (model validation expertise would be especially advantageous)
                    • -
                    • Understanding of explainability and/or fairness in the context of advanced analytics and machine learning
                    • +
                    • Currently enrolled in an undergraduate degree majoring in relevant technology programs, such as Computer Science, Engineering, Mathematics, or similar

                    • +
                    • Must be enrolled in an undergraduate degree with the intent of going back to school at the start of your work term

                    +

                    Some coursework or interest in finance will be considered an asset.

                    +

                    We will consider candidates with strong technical backgrounds that do not necessarily have direct experience with the specific technologies used on our team.

                    +

                    Attributes that are beneficial to the role are: self-starter, analytical and attention to detail.

                    +

                    The ideal candidate should be comfortable working in a team environment.

                    +

                    GIT version control

                    +

                    Familiarity with software development in a Linux-based environment.

                    +

                    JavaScript (especially React and Redux frameworks)

                    +

                    REST API’s, MVC frameworks

                    +

                    Python

                    +

                    SQL and database design (with any major RDBMS).

                    +

                    Strong software development skills, the ability to learn new technologies and business concepts quickly are essential for success at this position. Previous experience with the following technologies will be preferred:

                    Additional Information

                    -#LI-Hybrid #LI-Post #datascientist
                    +

                    Early Talent Requirements

                    +
                      +
                    • This position is a 4-month work term and will commence September 5 – December 22, 2023.

                    • +
                    • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).

                    • +
                    +
                      +
                    • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.

                    • +
                    • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements

                    • +
                    • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.

                    • +
                    +

                    HOURS

                    +

                    Monday-Friday, standard business hours

                    +

                    -

                    Hours

                    -
                    37.5
                    +

                    Start Date

                    +
                    – Fall

                    Inclusiveness

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -
                    ",,https://jobs.td.com/en-CA/jobs/18336289/data-scientist-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-06-01T21:33:00.000Z,False,0,27,64,https://talenthub.vectorinstitute.ai/jobs/226183789-data-scientist-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18336289/data-scientist-i-toronto-ca/,expired,2023-05-16T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -7f223086-c691-4101-a2b3-1eedb3225dc5,227295636,National Research Council Canada,Application Development specialist (Data repositories),hybrid,"Ottawa, ON, Canada",2023-05-19T13:13:45.703Z,"

                    Application Development specialist (Data repositories)

                    -

                    Priority may be given to the following designated employment equity groups: women, Indigenous peoples* (First Nations, Inuit and Métis), persons with disabilities and racialized persons*.

                    -


                    * The Employment Equity Act, which is under review, uses the terminology Aboriginal peoples and visible minorities.

                    -

                    City: Ottawa

                    -

                    Organizational Unit: Digital Technologies

                    -

                    Classification: CS-2

                    -

                    Tenure: Term

                    -

                    Duration: September 2025

                    -

                    Language Requirements: English

                    -

                    Note: Due to the nature of the work and operational requirements, this position will require some physical presence at the NRC work location identified in the form of a hybrid work arrangement (a combination of working onsite and offsite).

                    -

                    The NRC Advantage

                    -

                    Great Minds. One Goal. Canada's Success.

                    -

                    The National Research Council of Canada (NRC) is the Government of Canada's largest research organization supporting industrial innovation, the advancement of knowledge and technology development. We collaborate with over 70 colleges, universities and hospitals annually, work with 800 companies on their projects, and provide advice or funding to over 8000 Small and Medium-sized Enterprises (SMEs) each year.

                    -

                    We bring together the brightest minds to deliver tangible impacts on the lives of Canadians and people around the world. And now, we want to partner with you. Let your expertise and inspirations make an impact by joining the NRC.

                    -

                    At the NRC, we know that diversity enables excellence in research and innovation. We are committed to a diverse and representative workforce, a safe and respectful work environment, and contributing to a more inclusive Canadian innovation system. We welcome all qualified applicants and encourage you to complete the employment equity self-declaration questions during the job application process.

                    -

                    Please let us know of any accommodation measures required to help you to be assessed in a fair and equitable manner. Please note that the information you provide will be treated confidentially.

                    -

                    Your Challenge

                    -

                    Help bring research to life and drive your career forward with the National Research Council of Canada (NRC), Canada's largest research and technology organization.

                    We are looking for an Application Development specialist to support our Digital Technologies Research Centre. The Application Development specialist would be someone who shares our core values of Integrity, Excellence, Respect and Creativity.

                    -

                    The incumbent will be part of a multi-partner (NRC, University, other government department) research project developing new technologies to enhance transportation infrastructure resiliency.

                    The project will develop innovative analysis and prediction technologies using sensor data and satellite imagery.

                    More specifically, the incumbent will:
                    • Develop data models for complex data (acquired by project partners) storage, retrieval and querying.
                    • Evaluate, test and implement available database, big data framework(s) and cloud service(s) (as necessary) and build the project’s data repository.
                    • Design, develop and test software code which allows exploration, access and retrieval of data for other modules of the project.
                    • Optimize the performance and scalability of the data repository (software and data).
                    • Provide support to other project partners for access to the repository data, and management of integration of their supplied data in the repository.
                    • Create the necessary documentation.

                    -

                    Screening Criteria

                    -

                    Applicants must demonstrate within the content of their application that they meet the following screening criteria in order to be given further consideration as candidates:

                    -

                    Education

                    -

                    1. College or university degree in computer science, computer engineering, or related field.

                    -

                    2. Consideration may be given to candidates with significant experience and a High School diploma.

                    -

                    For information on certificates and diplomas issued abroad, please see Degree equivalency

                    -

                    Experience

                    -

                    • A minimum of 1 year of programming experience in a team environment, using modern software development tools, techniques, and methodologies.
                    • Experience working with complex data (Sensors, image, video, geospatial, satellite etc.).
                    • Experience indexing and storing big data sets (Big data frameworks, cloud solutions etc.).
                    • Experience in using source version management tools such as Subversion and git.
                    • Experience in designing and implementing modern web applications.

                    -

                    Condition of Employment

                    -

                    Reliability Status

                    -

                    Language Requirements

                    -

                    English

                    -

                    Information on language requirements and self-assessment tests

                    -

                    Assessment Criteria

                    -

                    Candidates will be assessed on the basis of the following criteria:

                    -

                    Technical Competencies

                    -

                    • Knowledge of data base management systems, Cloud services, & big data frameworks.
                    • Knowledge of data modelling tools.
                    • Knowledge of programming languages such as Python, Java, JavaScript.
                    • Knowledge of Linux operating system.
                    • Knowledge of web application development (Dynamic portals, visualization tools, dashboards).

                    -

                    Behavioural Competencies

                    +
                    ",,https://jobs.td.com/en-CA/jobs/18300619/asset-management-portfolio-analytics-developer-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-07-10T15:58:01.918Z,False,0,14,126,https://talenthub.vectorinstitute.ai/jobs/242607576-asset-management-portfolio-analytics-developer-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18300619/asset-management-portfolio-analytics-developer-co-op-toronto-ca/,expired,2023-07-03T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +5dfe3d6f-8a29-491c-9d32-dbd61bd2693f,234341254,Multiverse Computing,Tensor Network Engineer Intern,hybrid,"Toronto, ON, Canada",2023-06-09T14:45:11.460Z,"

                    This is a 8 month internship programme funded partly through the Mitacs program
                    Salary budget for eight month is 20,000 CAD

                    This position is based in Toronto, Canada and we work in Hybrid work environment requires 3 days a week from the office and up to 2 from home. Please apply if it works for you.

                    As Tensor Network Engineer Intern, you will

                      -
                    • Research - Creative thinking (Level 2)
                    • -
                    • Research - Results orientation (Level 1)
                    • -
                    • Research - Teamwork (Level 1)
                    • -
                    • Research - Communication (Level 2)
                    • -
                    • Research - Self-knowing and self-development (Level 1)
                    • +
                    • Join a world-class team of Quantum experts with an extensive track record in both academia and industry.
                    • +
                    • Work with real world-wide customers across several industries.
                    • +
                    • Collaborate closely with the founding team in a fast-paced startup environment.
                    • +
                    • Implementations, Improvements/Optimisation
                    -

                    Competency Profile(s)

                    -

                    For this position, the NRC will evaluate candidates using the following competency profile(s): Research Technician/Technologist

                    -

                    View all competency profiles

                    -

                    Relocation

                    -

                    Relocation assistance will be determined in accordance with the NRC's directives.

                    -

                    Compensation

                    -

                    From $74,552 to $93,612 per annum.

                    An incumbent occupying a position within the CS Group is currently entitled to receive a terminable allowance of $176 per month.

                    NRC employees enjoy a wide-range of competitive benefits including comprehensive health and dental plans, pension and insurance plans, vacation and other leave entitlements.

                    -

                    Notes

                    -

                    • A pre-qualified list may be established for similar positions for a one year period.
                    • Preference will be given to Canadian Citizens Permanent Residents of Canada, persons with an open work permit and indigenous peoples living in the United States. Please include citizenship information in your application.
                    • The incumbent must adhere to safe workplace practices at all times.
                    • We thank all those who apply, however only those selected for further consideration will be contacted.

                    -


                    Please direct your questions, with the requisition number (18761) to:

                    -

                    E-mail: NRC.NRCHiring-EmbaucheCNRC.CNRC@nrc-cnrc.gc.ca

                    -

                    Closing Date: 31 May 2023 - 23:59 Eastern Time OR Posted until filled

                    -


                    For more information on career tools and other resources, check out Career tools and resources

                    ",,https://recruitment-recrutement.nrc-cnrc.gc.ca/job/Ottawa-Application-Development-specialist-%28Data-repositories%29-ON/570477917/,info@nrc.ca,https://nrc.canada.ca/en,,,2023-06-01T21:34:00.000Z,False,0,9,31,https://talenthub.vectorinstitute.ai/jobs/227295636-application-development-specialist-data-repositories-at-national-research-council-canada,,expired,2023-05-19T13:13:00.000Z,admin,Enterprise (500+),Application Click Through,Public Administration (i.e Gov't),Associate,Bachelors Degree,New Posting, -005959a3-fbe7-40d8-bb36-d8c11bef5ba0,227295768,National Research Council Canada,Application Development Specialist (Analytics/Machine Learning),hybrid,"Ottawa, ON, Canada",2023-05-19T13:17:39.025Z,"

                    Application Development Specialist (Analytics/Machine Learning)

                    -

                    Priority may be given to the following designated employment equity groups: women, Indigenous peoples* (First Nations, Inuit and Métis), persons with disabilities and racialized persons*.

                    -


                    * The Employment Equity Act, which is under review, uses the terminology Aboriginal peoples and visible minorities.

                    -

                    City: Ottawa

                    -

                    Organizational Unit: Digital Technologies

                    -

                    Classification: CS-2

                    -

                    Tenure: Term

                    -

                    Duration: September 2025

                    -

                    Language Requirements: English

                    -


                    Note: Due to the nature of the work and operational requirements, this position will require some physical presence at the NRC work location identified in the form of a hybrid work arrangement (a combination of working onsite and offsite).

                    -

                    The NRC Advantage

                    -

                    Great Minds. One Goal. Canada's Success.

                    -

                    The National Research Council of Canada (NRC) is the Government of Canada's largest research organization supporting industrial innovation, the advancement of knowledge and technology development. We collaborate with over 70 colleges, universities and hospitals annually, work with 800 companies on their projects, and provide advice or funding to over 8000 Small and Medium-sized Enterprises (SMEs) each year.

                    -

                    We bring together the brightest minds to deliver tangible impacts on the lives of Canadians and people around the world. And now, we want to partner with you. Let your expertise and inspirations make an impact by joining the NRC.

                    -

                    At the NRC, we know that diversity enables excellence in research and innovation. We are committed to a diverse and representative workforce, a safe and respectful work environment, and contributing to a more inclusive Canadian innovation system. We welcome all qualified applicants and encourage you to complete the employment equity self-declaration questions during the job application process.

                    -

                    Please let us know of any accommodation measures required to help you to be assessed in a fair and equitable manner. Please note that the information you provide will be treated confidentially.

                    -

                    Your Challenge

                    -

                    Help bring research to life and drive your career forward with the National Research Council of Canada (NRC), Canada's largest research and technology organization.

                    We are looking for an Application Development specialist to support our Digital Technologies Research Centre. The Application Development specialist would be someone who shares our core values of Integrity, Excellence, Respect and Creativity.

                    The incumbent will be part of a multi-partner (NRC, University, other government department) research project developing new technologies to enhance transportation infrastructure resiliency. The project will develop innovative analysis and prediction technologies using sensor data and satellite imagery.

                    More specifically, the incumbent will:
                    • Evaluate various Analytics & Artificial Intelligence (AI) approaches to respond to project goals.
                    • Translate subject matter experts’ knowledge into inputs/outputs of the proposed Analytics & Artificial Intelligence (AI) solutions.
                    • Operate complexity, performance, scalability analysis of the proposed solutions.
                    • Evaluate various implementation options and discuss them with project partners.
                    • Collect necessary data for proposed solutions’ application from partner holdings and external sources.
                    • Implement the chosen solutions.
                    • Create the necessary quality documentation.

                    -

                    Screening Criteria

                    -

                    Applicants must demonstrate within the content of their application that they meet the following screening criteria in order to be given further consideration as candidates:

                    -

                    Education

                    -

                    1. College or university degree in computer science, computer engineering, or related field.

                    -

                    2. A specialization in data analysis/analytics, Artificial Intelligence (AI) will be considered an asset.

                    -


                    Equivalent work experience may be considered.

                    -

                    For information on certificates and diplomas issued abroad, please see Degree equivalency

                    -

                    Experience

                    -

                    • Experience with at least one research project (Minimum of 1 year) developing complex solutions using analytics/AI algorithms
                    • Experience working (Storage, retrieval, querying) with complex data (sensor, image, video, geospatial, satellite etc.) may be considered an asset.
                    • Experience pre-processing complex data for analytics/AI algorithms ingestion.
                    • Experience evaluating complexity, performance, and scalability of algorithms.
                    • Experience implementing multiple analytics/AI paradigms including their documentation.

                    -

                    Condition of Employment

                    -

                    Reliability Status

                    -

                    Language Requirements

                    -

                    English

                    -

                    Information on language requirements and self-assessment tests

                    -

                    Assessment Criteria

                    -

                    Candidates will be assessed on the basis of the following criteria:

                    -

                    Technical Competencies

                    -

                    • Knowledge of complex data storage/querying tools, languages and frameworks.
                    • Knowledge of analytics/AI paradigms.
                    • knowledge of programming languages for data analytics/AI (such as Python, Java, R).
                    • Knowledge of algorithm/system complexity, performance, and scalability evaluation approaches.

                    -

                    Behavioural Competencies

                    +
                    YOUR PROFILE
                    +

                    Required Qualifications

                      -
                    • Research Technician/Technologist - Creative thinking (Level 2)
                    • -
                    • Research Technician/Technologist - Results orientation (Level 1)
                    • -
                    • Research Technician/Technologist - Teamwork (Level 1)
                    • -
                    • Research Technician/Technologist - Communication (Level 2)
                    • -
                    • Research Technician/Technologist - Self-knowing and self-development (Level 1)
                    • +
                    • +Masters or PHD degree in Quantum Physics, Mathematics or related field or completing the same by Dec 2023.
                    • +
                    • Demonstrated knowledge and experience with Tensor Network numerical simulation methods, with a focus on machine learning and optimization
                    • +
                    • Python programming language
                    • +
                    • Strong basis in linear algebra and expertise in math for quantum computing and tensor algebraic methods.
                    • +
                    • Familiarity with Tensor Network libraries and/or relevant functions (ncon, cuTensorNet, TeNPy, Uni10, ITensor, TNT, or others).
                    • +
                    • Ability to work with a diverse team of people, both in-person and through online resources
                    • +
                    • Perfect command of English language
                    -

                    Competency Profile(s)

                    -

                    For this position, the NRC will evaluate candidates using the following competency profile(s): Research Technician/Technologist

                    -

                    View all competency profiles

                    -

                    Relocation

                    -

                    Relocation assistance will be determined in accordance with the NRC's directives.

                    -

                    Compensation

                    -

                    From $74,552 to $93,612 per annum.

                    -

                    An incumbent occupying a position within the CS Group is currently entitled to receive a terminable allowance of $176 per month.

                    -


                    NRC employees enjoy a wide-range of competitive benefits including comprehensive health and dental plans, pension and insurance plans, vacation and other leave entitlements.

                    -

                    Notes

                    -

                    • A pre-qualified list may be established for similar positions for a one-year period.
                    • Preference will be given to Canadian Citizens Permanent Residents of Canada, persons with an open work permit and indigenous peoples living in the United States. Please include citizenship information in your application.
                    • The incumbent must adhere to safe workplace practices at all times.
                    • We thank all those who apply, however only those selected for further consideration will be contacted.

                    -

                    Please direct your questions, with the requisition number (18763) to:

                    -

                    E-mail: NRC.NRCHiring-EmbaucheCNRC.CNRC@nrc-cnrc.gc.ca

                    -

                    Closing Date: 31 May 2023 - 23:59 Eastern Time OR Posted until filled

                    -

                    For more information on career tools and other resources, check out Career tools and resources

                    ",,https://recruitment-recrutement.nrc-cnrc.gc.ca/job/Ottawa-Application-Development-Specialist-%28AnalyticsMachine-Learning%29-ON/570479117/,info@nrc.ca,https://nrc.canada.ca/en,,,2023-06-01T21:35:00.000Z,False,0,28,106,https://talenthub.vectorinstitute.ai/jobs/227295768-application-development-specialist-analytics-machine-learning-at-national-research-council-canada,,expired,2023-05-19T13:17:00.000Z,admin,Enterprise (500+),Application Click Through,Public Administration (i.e Gov't),Associate,Bachelors Degree,New Posting, -af1cef50-1514-4f06-8b7f-9a23ec1c18b6,226612308,Bell Canada,Technical Product Manager,on_site,"Don Mills, Ontario",2023-05-17T19:22:03.498Z,"

                    Req Id: 409260

                    -

                    -

                    At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

                    -

                    -

                    If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team.

                    -

                    Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.

                    +


                    Preferred Qualifications

                    +
                    • Deep learning experience (tensorflow/pytorch)
                    +
                    WHY US?
                    +

                    Perks & Benefits

                    +
                      +
                    • A mix of remote and office work.
                    • +
                    • Flexible working hours.
                    • +
                    • Equal Pay
                    • +
                    • Working in a high paced environment, working on cutting edge technologies.
                    • +
                    • Career plan. Opportunity to learn and teach.
                    • +
                    • Progressive Company. Happy people culture.
                    • +
                    +

                    Apply for this position

                    +
                    ABOUT US
                    +

                    Multiverse Computing is a well-funded and fast growing deep-tech company founded in 2019. We are one of the few companies working with Quantum Computing and the biggest Quantum Software company in the EU. The headquarters are in Spain with additional offices in Canada, France and Germany.
                    We provide hyper-efficient software to companies wanting to gain an edge with quantum computing and artificial intelligence. Our product, Singularity, is a software as a service platform that contains quantum and quantum-inspired algorithms developed and patented through proof-of-concept trials we have been performing for industrial and service clients. We work in finance, energy, manufacturing, cybersecurity and many more industries.
                    You will be working alongside world leading experts to build solutions that tackle real life issues. We look for passionate people that want to grow in an ethics driven environment, promoting sustainability and diversity. We aim to continue building our truly inclusive culture - come and join us!

                    ",sonika.trehon@multiversecomputing.com,,sonika.trehon@multiversecomputing.com,https://multiversecomputing.com/,,,2023-07-12T19:03:00.000Z,False,2,0,94,https://talenthub.vectorinstitute.ai/jobs/234341254-tensor-network-engineer-intern-at-multiverse-computing,,expired,2023-06-09T14:45:00.000Z,website,Scaling (20-499),Vector Quick Apply,"Financial Services, Software, Technology (Product Development)",Internship/Co-op,Masters Degree,New Posting, +3642d5b8-2ea9-4801-8a43-fd95d95efac9,236486569,Bell Canada,"Senior Data Engineer, Business Intelligence",on_site,"Toronto, Ontario",2023-06-15T19:22:03.179Z,"

                    Req Id: 410238

                    +

                    +

                    At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we’re revolutionizing how Canadians communicate.

                    +

                    +

                    If you’re ready to bring game-changing ideas to life and join a community that values bold ideas, professional growth and employee wellness, we want you on the Bell team.

                    Summary

                    -
                    -

                    The Data Science Team within Customer Operations is at the forefront of innovation. Our goal is to leverage the power of Artificial Intelligence and Machine Learning to provide the best service for our customers while accelerating our product roadmaps. The work we do is critical in ensuring that Bell remains the best telecommunications provider in Canada.

                    -


                    As the product team focused on Digital and Marketing, we manage ML products that help serve our customers better with their experience and with inbound and outbound communication. Working in a dynamic, fast-paced environment, activities will include product management of one or more of our AI/ML product lines, which will include product lifecycle management, use case development, business adoption, competitive benchmarking and analysis, and business planning activities.

                    -


                    The successful candidate will drive the product vision while ensuring a flawless customer experience. She/he will be a key interface between business facing and technical delivery teams, while maintaining concise updates for the executive team. This role requires leadership, maturity, strong analytical capabilities, solid business acumen and a deep-seated impulse to sweat the details of our products and projects – all to ensure amazing experiences for our customers.

                    -
                    +

                    As a Senior Data Engineer reporting to the Senior Manager of Finance, you will need to consult with various stakeholders to understand business and technology challenges, design solutions in partnership with other subject matter experts. The ideal candidate will deliver solutions that improve Finance efficiencies and insights. Using your Leadership, technical, Business Intelligence and Finance skills, you will build tools to improve speed and accuracy in reports and generate insights that will allow Finance Operations to analyze, predict and optimize business results.
                    In particular, you will lead a team to create solutions and insight that combine, transform, analyze, share and catalyze consumption of financial results and related performance KPIs. The ideal candidate will leverage their leadership, technical, business, digital and creative competencies to drive information and insight from the large amount of data stored within our environments reporting status to the Senior Leadership.
                    The ideal candidate will leverage your natural curiosity, in testing and learning various tools, models, media and design as you continually look for new ways to glean key insights from the data, display results, and engage the stakeholder community with relevant solutions.
                    This unique position will expose you to the finance, BI, visualization and analytics fields. Leveraging leading edge enterprise technologies, process and governance will enable you to gather and share valuable information allowing us to better evaluate operational strategies while at the same time, from a finance perspective, allowing us to determine potential impact on future financial results.
                    Working individually and leading a team, you will provide accurate and useful information to the appropriate audiences.
                    The opportunity to communicate and work with employees & senior finance leadership from across the company, advocating the D&A CoE vision, will provide excellent networking opportunities.

                    Key Responsibilities

                      -
                    • Collaborating with cross-functional teams & industry leading partners to build and launch new innovative products
                    • -
                    • Full lifecycle support of products including ideation, coordination, business adoption, performance monitoring and iteration
                    • -
                    • Pitching innovative solutions and recommendations in concise and compelling presentations to senior executives
                    • -
                    • Leading use case discovery with business partners and coordinating into a concise roadmap to be executed on with business and technical teams
                    • -
                    • Creating business cases for pursuing product initiatives; performing deep analysis to uncover obstacles and opportunities
                    • -
                    • Identify, analyze, and interpret trends or patterns in complex data sets
                    • -
                    • Combining your creativity with sound data analysis to design the optimal experience
                    • -
                    • Influencing partner teams on the right direction to take and working closely with partners to ensure proper prioritization of activities as they relate back to business objectives
                    • -
                    • Maintaining visibility to new and emerging technologies and trends that may inform roadmaps
                    • -
                    • Contributing to a growing Agile team and being part of a program that emphasizes team building, collaboration and continuous improvement
                    • +
                    • Lead a team of Data Engineers & Data Analyst
                    • +
                    • Create and maintain optimal data pipeline architecture
                    • +
                    • Assemble large, complex data sets that meet functional / non-functional business requirements.
                    • +
                    • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
                    • +
                    • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL ‘big data’ technologies.
                    • +
                    • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
                    • +
                    • Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.
                    • +
                    • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
                    • +
                    • Work with data and analytics experts to strive for greater functionality in our data systems.

                    Critical Qualifications

                    -
                    -

                    -
                      -
                    • Bachelor's degree in Business, Commerce, Finance, Computer Science, Engineering, Statistics or equivalent
                    • -
                    • 2+ years of end-to-end product management experience with knowledge across planning, development, measurement and quality processes.
                    • -
                    • Self-motivated, action-oriented and demonstrated ability to deliver results
                    • -
                    • Strong problem solving skills and able to develop an approach to decision making
                    • -
                    • Advanced capability to query, analyze, and visualize data; Familiarity with Python or any simple scripting language would be an asset
                    • -
                    • Highly organized and able to manage multiple priorities simultaneously with minimal direction
                    • -
                    • Excellent communication skills; clear and concise verbal and written communication style, able to effectively communicate, influence and present at all levels
                    • -
                    • Proven ability to learn and understand new technologies; comfortable with technical discussions
                    • -
                    • Familiarity with AI/ML and/or Statistics fundamentals considered an asset
                    • -
                    • Product management skills and experience considered an asset
                    • -
                    • Team oriented and possessing excellent leadership skills
                    • -
                    • Working knowledge of Agile - Confluence, JIRA
                    • -
                    -

                    #Indeed #Tech #Technology #Talent #Jira #Confluence #AI #ML #ArtificalIntelligence #Machinelearning #Python #Statistics #Telecom #telecommunication

                    -
                    +
                      +
                    • Candidate with 5+ years of senior experience working in the telecom industry on complex data sets
                    • +
                    • Strong leadership and high tolerance of ambiguity
                    • +
                    • Polished written and verbal communication skills
                    • +
                    • Experience leading team to build and optimize ‘big data’ data pipelines, architectures and data sets
                    • +
                    • Proven Leadership and business acumen, with demonstrated ability to influence and to be a trusted advisor to senior management
                    • +
                    • Advanced working SaS knowledge and experience working with relational databases, query authoring (PROC SQL).
                    • +
                    • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
                    • +
                    • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
                    • +
                    • Strong analytic skills related to working with unstructured datasets.
                    • +
                    • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
                    • +
                    • A successful history of manipulating, processing and extracting value from large disconnected datasets.
                    • +
                    • Strong organizational and communication skills.
                    • +
                    • Experience supporting and working with cross-functional teams in a dynamic environment.
                    • +
                    • We are looking for a candidate with 3+ years of experience in a Data Engineer role
                    • +
                    • Experience with relational databases SaS, Teradata, Oracle & MS SQL.
                    • +

                    Preferred Qualifications

                    -
                    -
                    -
                    -
                    -

                    Additional Requirements

                    -
                    -
                    +
                      +
                    • Telecom systems knowledge required (ie: P77, PBW, Network Capital)
                    • +
                    • Experience with data pipeline and workflow management tools.
                    • +
                    • Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: Alteryx, SaS EG, SQL Assistant, MS Office
                    • +
                    • Experience with big data tools: Hadoop, Spark, Kafka, “Cloud computing solutions”, an asset
                    • +
                    • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
                    • +

                    @@ -118726,11 +127160,12 @@ af1cef50-1514-4f06-8b7f-9a23ec1c18b6,226612308,Bell Canada,Technical Product Man

                    Adequate knowledge of French is required for positions in Quebec.

                    -

                    Additional Information:

                    -

                    Position Type: Management
                    Job Status:
                    Regular - Full Time
                    Job Location:
                    Canada : Ontario : Don Mills
                    Flexible work profile:
                    Mobile
                    Application Deadline: 05/30/2023

                    +

                    Additional Information:

                    +

                    Position Type: Management
                    Job Status:
                    Regular - Full Time
                    Job Location:
                    Canada : Ontario : Toronto || Canada : Nova Scotia : Halifax
                    Work Arrangement: Hybrid
                    Application Deadline: 07/17/2023

                    -

                    All team members are expected to reside in Canada and within a reasonable commuting distance from their work location to ensure that they are able to come to the office as required, whether the visit is planned or unplanned.

                    -


                    Please apply directly online to be considered for this role. Applications through email will not be accepted.

                    +

                    For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week. Recognizing the importance of work-life balance, Bell offers flexibility in work hours based on the business needs.

                    +

                    +

                    Please apply directly online to be considered for this role. Applications through email will not be accepted.

                    At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                    @@ -118738,370 +127173,172 @@ af1cef50-1514-4f06-8b7f-9a23ec1c18b6,226612308,Bell Canada,Technical Product Man

                    Created: Canada, ON, Toronto

                    -

                    Bell, one of Canada's Top 100 Employers.

                    ",,https://jobs.bell.ca/ca/en/job/BECACA409260EXTERNALENCA/Technical-Product-Manager?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2023-06-02T19:27:03.228Z,False,0,5,21,https://talenthub.vectorinstitute.ai/jobs/226612308-technical-product-manager-at-bell-canada,BECACA409260EXTERNALENCA,expired,2023-05-17T19:22:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Manager,Bachelors Degree,New Posting, -2f3e2eb3-e97b-4574-abe9-ab494173ace5,228136420,Scotiabank,Data Science Manager (Contract),on_site,Canada : Ontario : Toronto,2023-05-22T15:52:03.401Z,"

                    -

                    -

                    -

                    -

                    Requisition ID: 178301

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    -

                    -

                    Purpose

                    -

                    -


                    We are seeking a highly analytical and skilled Data Scientist to join our team. The ideal candidate will have a strong background in statistics, computer science, and programming, with experience in data analysis and machine learning. The Data Scientist will be responsible for designing and implementing data-driven solutions to solve both rule-based and AI business problems. Additionally, the candidate should have experience in applying machine learning techniques to transaction monitoring for anti-money laundering/anti-terrorist financing purposes.

                    -

                    -

                    -

                    Key Job Accountabilities

                    -

                    -


                    • Apply range of modeling techniques, from rule-based statistical models to AI and Machine learning, to develop and implement models for transaction alert generation and alert prioritization, in support of Scotiabank’s AML/ATF activity.
                    • Research and understand the latest advances in AML/ATF analytics and predictive models in order to improve data acquisition, modeling, implementation and tuning strategies. Test and analyze thresholds, ranges and solution configurations to improve the effectiveness of monitoring and screening solutions.
                    • Contribute to the development of optimal AML/ATF strategic alternatives by identifying and presenting opportunities for the effective deployment of analytics for AML program (eg, productive vs non-productive alerts, alerts per transaction, optimizing solution configurations and parameters)
                    • Communicate complex data findings and insights to technical and non-technical stakeholders.
                    • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge
                    • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions. Assist the team in ensuring all procedures and practices are complied with regulatory and internal requirements
                    • Champions a high performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team.

                    -

                    -

                    -

                    Skills

                    -

                    -


                    • Experience with statistical modeling and data science methods (AI/ML); AML/ATF experience with wires, cheques, cash, capital markets data is a plus
                    • Experience programming in statistical languages such as Python, R
                    • Familiarity working with popular libraries for data science, machine learning, and visualization: such as Numpy, Pandas, Scikit-learn, Tensorflow/Pytorch/Keras, Matplotlib/Seaborn/ggplot2
                    • Experience with databases such as Oracle or SQL Server, as well as big data technologies such as Hadoop, Hive, Spark, or other distributed computing frameworks.
                    • Nice to have experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch.
                    • General programming (e.g. C++, Java, Scala); shell scripting experience a plus.
                    • Experience with version control systems and workflows a plus.
                    • Nice to have experience with cloud-based data platforms such as AWS, Azure, or Google Cloud.
                    • Strong communication (both oral and written) and collaboration skills, with the ability to work effectively in a team environment

                    -

                    -

                    Education

                    -

                    -


                    • Bachelor’s degree or higher in science, technology, engineering, mathematics (STEM): statistics, data science, data analytics, artificial intelligence, computer science, computer engineering, financial modelling, etc.

                    -

                    -

                    -

                    -

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Data-Science-Manager-%28Contract%29-ON-M5C2W1/570486617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-05T15:57:03.955Z,False,0,9,25,https://talenthub.vectorinstitute.ai/jobs/228136420-data-science-manager-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Science-Manager-%28Contract%29-ON-M5C2W1/570486617/,expired,2023-05-22T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -e26da672-da9f-4cad-ac68-3e6162f9b083,231466654,Avidbots,Software Developer - Machine Learning Platform,on_site,"Ontario, Canada",2023-06-01T16:15:03.565Z,"
                    -

                    About Avidbots:

                    -

                    At Avidbots, we believe in solving real world problems with autonomous cleaning robotic solutions to unlock humanity’s potential. Neo is our current ground-breaking autonomous floor scrubbing robot that enhances facility cleanliness around the world empowering reallocation of human capital to higher priority focuses…and we’re just getting started!

                    Headquartered in Kitchener, ON, Canada, we are an employee-focused organization that has been certified a Great Place to Work® consecutively for the last 4 years and one of Deloitte\'s Fast 500 (2021).

                    -

                    Now is your opportunity to join a fast-growing technology company built on teamwork, innovation, and boundless ambition! Take a look at what Neo can do!

                    -

                    -

                    About the role:

                    -

                    The Machine Learning Platform (MLP) team is responsible for developing systems and tools that enable the development and deployment of machine learning solutions to a large fleet of autonomous robots around the world. This includes supporting all stages of the machine learning lifecycle, from data acquisition and transformation, to deployment and monitoring, and collaborating with other teams on model development and training.

                    -

                    You will join a small team with the opportunity to have a large impact on the technical decisions and development of large-scale machine learning initiatives that will shape the next-generation of commercial robotics.

                    -

                    -

                    How you will make a difference:

                    -
                      -
                    • Design, develop, and test data transformation pipelines operating on large amounts of structured and unstructured data.
                    • -
                    • Deploy and maintain scalable cloud infrastructure that support machine learning and data engineering workloads.
                    • -
                    • Collaborate with members of various functional teams to scope, explore, prototype, and implement solutions.
                    • -
                    +

                    Bell, one of Canada's Top 100 Employers.

                    ",,https://jobs.bell.ca/ca/en/job/BECACA410238EXTERNALENCA/Senior-Data-Engineer-Business-Intelligence?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2023-07-13T19:27:02.569Z,False,0,2,42,https://talenthub.vectorinstitute.ai/jobs/236486569-senior-data-engineer-business-intelligence-at-bell-canada,BECACA410238EXTERNALENCA,expired,2023-06-15T19:22:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, +4b339239-17cc-4d32-8e01-d0abfe23198a,239887338,TD Bank Group,Data Scientist I,on_site,"Toronto, ON",2023-06-26T15:53:01.748Z,"
                    +

                    Company Overview

                    +
                    +

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    +

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    +

                    -

                    Required Skills & Experience:

                    -
                      -
                    • BE / B.Tech or higher degree in Computer Science / Engineering or equivalent
                    • -
                    • 5+ years of professional software development experience (Python, C++ preferred)
                    • -
                    • Experience building large-scale data transformation pipelines with technologies such as Apache Spark, Amazon S3, Dagster, and Airflow
                    • -
                    • Hands-on experience designing scalable infrastructure for machine learning applications
                    • -
                    • Experience with cloud services such as Amazon Web Services, and familiarity with tools such as Docker, Kubernetes, and Terraform
                    • -
                    • Knowledge of best practices in modern software development, such as git
                    • -
                    • Proficiency with Linux-based operating systems
                    • -
                    +

                    Department Overview

                    +

                    We are looking for world-class engineers to tackle cutting-edge problems of applying Machine Learning (ML) in the real world. Working across TD, you will be part of a leading financial services brand, have access to some of the largest datasets and innovate with leading machine learning scientists and engineers. Unleash the power of Machine Learning by helping us engineer models that scale and are rapidly deployable and, in the process, positively impact millions of customers. The goal of the team is to develop framework and automation solutions to help build and deploy robust and high-performing models through introducing software engineering best-practices.

                    -

                    Nice to Have:

                    +

                    Job Description

                    +
                    +

                    About this Role

                    +

                    As Machine Learning Engineer at TD, you will work with ML Scientists to learn their modelling workflow, so that you can design abstractions and build components that can be combined to build high quality models. You will work to develop and/or integrate tools that help with model monitoring, governance and explainability. You will work with ML Platform team to make sure these models can be trained and deployed on our computing infrastructure, taking advantage of cloud technologies like Azure Kubernetes and more.

                    +

                    Must-Have

                      -
                    • Experience with Robot Operating System (ROS)
                    • -
                    • Experience working with a global team
                    • +
                    • Experience working on high-performance engineering teams and being part of cross-functional delivery teams
                    • +
                    • Experience with building and scaling data-intensive software in Python
                    • +
                    • Knowledge of machine learning modelling workflow and manage machine learning lifecycle
                    • +
                    • Experience building and manage a machine learning data pipeline
                    • +
                    • You value good software design and sweat over details in code and API design
                    • +
                    • You enjoy learning new technology and educating others
                    • +
                    • You strive to communicate clearly and with empathy
                    • +
                    • You take great personal pride in building robust and scalable software
                    • +
                    • You are highly accountable and have a strong sense of ownership
                    • +
                    • Ability to do detailed code reviews and give thoughtful feedback
                    -

                    -

                    Avidbots is an equal opportunity employer committed to building a diverse workforce. As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. We offer a professional working environment and culture and believe that work/life balance is critical to ensure the happiness/well-being of our people.

                    -

                    -

                    Upon request, Avidbots will provide reasonable accommodation for applicants with disabilities throughout the recruitment and selection process

                    -

                    -

                    #INDAV

                    -
                    ",,https://avidbots.bamboohr.com/careers/659,feed-importer@jobboard.io,,,,2023-06-05T16:20:04.367Z,False,0,9,31,https://talenthub.vectorinstitute.ai/jobs/231466654-software-developer-machine-learning-platform-at-avidbots,,expired,2023-06-01T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Mid-Senior Level,Bachelors Degree,New Posting, -acb3d4b3-750d-4f50-93e1-eabdf034fb89,230064654,TELUS,Data Scientist,on_site,"Ontario, Canada",2023-05-28T16:15:04.133Z,"
                    -
                    -

                    Description

                    -
                    -

                    -

                    Join our team

                    -

                    -

                    The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high-quality data, and a data-product-oriented culture while always keeping an eye on the horizon, preparing for the next big thing.

                    -

                    -

                    We are entrepreneurial and live by our AI Manifesto of failing fast and being outcome vs technology-driven, creating value for our customers, team members, communities, and the environment. The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web visualizations, we do it all!

                    -

                    -

                    Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

                    -

                    -

                    Here’s the impact you’ll make and what we’ll accomplish together

                    -

                    -

                    You’ll be a part of the team and journey that will transform the way we do business across various domains. You’ll collaborate with teams across the company, seeking out various data sources to help identify new business opportunities while championing data-driven decision-making and the accelerated adoption of AI.

                    -

                    -

                    As a Data Scientist on the team, you will combine your expert knowledge of data science with your strong software development skills to automate and facilitate data exploration, analytics, machine learning model development, training and deployment and will leverage your experience in building reusable algorithms, functions and libraries.

                    -

                    -

                    Here\'s how

                    -

                    +

                    Nice to have:

                      -
                    • Lead the iterative development, validation, and deployment of AI/ML models
                    • -
                    • Collaborate on end-to-end automation efforts required to bring models to production
                    • -
                    • Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
                    • -
                    • Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
                    • -
                    • Influence how we approach business challenges and opportunities by driving the adoption of a data-driven mindset
                    • -
                    • Develop re-usable code aimed at delivering on future goals faster and more reliably
                    • -
                    • Support and evolve the Advanced Analytics and Data Science roadmap by leveraging industry research, best practices and emerging tools/technology
                    • -
                    • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
                    • +
                    • Experience building a library or a framework
                    • +
                    • Knowledge of machine learning algorithms
                    • +
                    • Experience with Azure cloud stack
                    • +
                    • Data analytics
                    • +
                    • Knowledge with C++
                    • +
                    • Knowledge of one of javascript framework, such as React, Vuejs or Angular
                    -

                    -

                    -
                    -
                    -

                    Qualifications

                    -
                    -

                    -

                    You\'re the missing piece of the puzzle

                    -

                    -
                      -
                    • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
                    • -
                    • You are sought out for your skills in Machine Learning and AI, including regression, classification, clustering, time series analysis, NLP, and optimization and bring 2-4 years of hands-on work and practical business experience in the above areas
                    • -
                    • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences
                    • -
                    • You have solid development experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras and have applied these skills towards solving actual business matters
                    • -
                    • You are comfortable in and with a Jupyter environment and infrastructure, and familiar with GitHub
                    • -
                    • You possess advanced knowledge in SQL and distributed computing
                    • -
                    • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
                    • -
                    • You are well versed in software and AI development lifecycles, including ML Ops
                    • -
                    • You are agile and have a bias for action, removing roadblocks to get results fast
                    • -
                    -

                    -

                    Great-to-haves

                    -

                    +

                    +

                    Requirements

                    +
                    +What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                      -
                    • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, Engineering, or Data Science
                    • -
                    • Experience with agile methodology and work in a start-up environment
                    • -
                    • GCP or other cloud certifications
                    • +
                    • University or post-graduate degree
                    • +
                    • Strong academic background (e.g., computer science, engineering)
                    • +
                    • 2+ years relevant experience
                    -

                    #LI-REMOTE

                    -

                    -

                    -
                    -
                    ",,https://careers.telus.com/job/Toronto-Data-Scientist-ON/569738117/,feed-importer@jobboard.io,,,,2023-06-05T16:20:04.367Z,False,0,17,63,https://talenthub.vectorinstitute.ai/jobs/230064654-data-scientist-at-telus,,expired,2023-05-28T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, -2f15eee8-375a-41ad-b6fb-e28fad720782,229165609,Sun Life Financial,"AVP, Advanced Analytics and Business Intelligence",hybrid,"Toronto, ON, Canada",2023-05-25T21:48:52.794Z,"

                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                    -

                    Job Description:

                    +

                    Additional Information

                    +
                    +#LI-Hybrid #datascientist

                    -

                    Role Summary

                    +

                    Hours

                    +
                    37.5

                    -

                    Sun Life Retail Advice & Solutions (RA&S) is one of the leading financial institutions that offer Canadians holistic advice and innovative solutions including insurance, wealth and health through a team of digitally-enabled and insights-driven human advisors.

                    Reporting to the Senior Vice President Strategy & Enablement, AVP- Advanced Analytics & Business Intelligence (BI) will be responsible for the developing and implementing data analytics strategy to enable RA&S in achieving sustainable competitive advantage, growth and profitability. The successful candidate will work in a fast-paced and dynamic environment with a focus on leading advanced analytics initiatives and business intelligence to enable RA&S to stay in the forefront of competitor actions and market developments.

                    +

                    Inclusiveness

                    +

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -

                    What will you do?

                    -
                    • -Data Analytics strategy development and execution

                      -
                        -
                      • Develop data analytics strategy that enables business medium-term strategy to create sustainable growth
                      • -
                      • Implement data analytics strategy by adapting and / or transforming existing data engineering, business intelligence, and advanced analytics functions
                      • -
                      • Partner with CXO Data Analytics team to align with overall Canada data analytics strategy.
                      • -
                      -
                    -
                    • -Data foundation transformation

                      -
                        -
                      • Maintain existing data foundation for business intelligence, and self serve and advanced analytics
                      • -
                      • Adapt data foundation as needed to meet analytics and business intelligence needs while ensuring it is continuously operational with minimal disruption
                      • -
                      • Lead transformation initiative to migrate data foundation to a modern cloud-based environment
                      • -
                      -
                    +
                    ",,https://jobs.td.com/en-CA/jobs/17480967/data-scientist-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-07-17T15:58:03.113Z,False,0,41,191,https://talenthub.vectorinstitute.ai/jobs/239887338-data-scientist-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17480967/data-scientist-i-toronto-ca/,expired,2023-06-26T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +c2345f15-137f-4d2c-86bf-f7a4b59f66ce,242607501,Scotiabank,"Manager, Data Ethics Governance & Operations - CID&A",on_site,Canada : Ontario : Toronto,2023-07-03T15:52:03.380Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 180448

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    Purpose:

                    +


                    The CIDA team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is used, shared, and accessed at an enterprise level. The aim is to provide transparent, robust, and ethical data practices across the enterprise to enhance the protection of our customers’ data, and the way we deliver business value. We are looking to build our delivery team with influencers, makers, creators, and industry leaders who will drive us forward.

                    +


                    The role of the Manager, Data Ethics Governance & Operations will be responsible for:

                    +

                    +
                    • Enabling the Bank’s adoption of the Data Ethics Framework with a Global scope
                    • Defining and implementing industry-leading data ethics practices and processes
                    • Supporting, facilitating, and monitoring the organization’s efforts to adhere to the Data Ethics Framework
                    • Supporting day-to-day BAU operations of the team (reporting, metric/KPI/Audit tracking, etc,).
                    • +
                    +

                    +

                    We are looking for someone who will make key contributions in developing, planning, and executing the adoption of processes and tools that enable ethical data use, third party data sharing frameworks, and streamlining data access rights. This role will work closely with our legal, privacy, data office, analytics, and technology teams in the bank to design, develop, and execute processes for the ethical use of data.

                    +


                    Key Accountabilities:

                    +

                    +
                    • Conduct the review process, on a global scale, for:
                    • Data Sensitivity: to classify sensitive data as part of the Bank’s data management processes
                    • Ethics Assistant: to provide ethical guidance and oversight to data use cases, including the development and use of AI/ML models
                    • Consult with and advise model practitioners and analytics stakeholders on analytical techniques that drive towards fairness and more ethical outcomes for customers.
                    • Ensure business stakeholder understanding, alignment and commitment to the objectives of the data ethics framework
                    • Develop strong working relationships with partners across the organization, to ensure consistency and alignment on best practices
                    • Document and maintain operational procedures for data ethics processes and practices.
                    • Track and report on process performance and adherence, identifying areas of improvement and recommending practical and innovative solutions
                    • Contribute to the remediation and closure of audit issues within stipulated deadlines
                    • Participate in planning and retrospective sessions, attend stand-ups, etc. - we work in an agile environment
                    • +
                    +


                    Functional Competencies:

                    +

                    +

                    +
                    • 3+ years of experience in business/financial services
                    • 3+ years of experience with data analytics, statistical methodologies, and/or machine learning techniques
                    • Thorough knowledge of data governance, privacy, and risk management processes, concepts, and controls
                    • Strong communication skills, both written and spoken – delivering clear requests for information and communicating potential conflicts
                    • Strong interpersonal skills, able to effectively build relationships and collaborate with partners
                    • Ability to present ideas and facilitate discussions to guide towards desired outcomes
                    • Able to work independently and act with good judgement, demonstrating creativity and perseverance in problem solving
                    • Results orientation and pragmatic approach to decision making
                    • Self-motivated, solution driven individual and adaptable to a fast-paced environment
                    • Spanish language skills is a strong asset
                    • +
                    +

                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Ethics-Governance-&-Operations-CID&A-ON-M5H1H1/571631317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-17T15:57:03.994Z,False,0,2,30,https://talenthub.vectorinstitute.ai/jobs/242607501-manager-data-ethics-governance-operations-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Ethics-Governance-&-Operations-CID&A-ON-M5H1H1/571631317/,expired,2023-07-03T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,No Degree,New Posting, +327fe79a-18c6-4a3a-a3fd-c1b01b6ddffd,246379226,CIBC,"Sr. Consultant, Business Analytics",on_site,"Ontario, Canada",2023-07-14T01:41:01.922Z,"
                    +

                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                    -
                    • -Strategic insights

                      -
                        -
                      • Identify and review strategic issues facing the business and provide analysis, decision support, and develop implementation ready strategies and tactics
                      • -
                      • Drive thought leadership in solving strategic issues using data driven approaches using data analytics
                      • -
                      -
                    +

                    At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                    -
                    • -Business Intelligence

                      -
                        -
                      • Run business intelligence function that supports decision making and performance management
                      • -
                      • Manage and prioritize request in-take from various stakeholders that optimize delivery across factors such as value, time-to-market, and effort
                      • -
                      • Lead efforts to democratize data analytics by creating self serve capabilities for power users to access data, conduct analysis and generate insights
                      • -
                      • Ensure business intelligence function delivers value to business stakeholders, e.g. turn complex data into easy-to-understand insights with optimized visualizations
                      • -
                      -
                    +

                    To learn more about CIBC, please visit CIBC.com

                    -
                    • -Data science and advanced analytics

                      -
                        -
                      • Proactively apply data science and advanced analytics techniques to identify and address business opportunities
                      • -
                      • Lead execution of data science projects and manage coordination of project delivery across functions
                      • -
                      • Operationalize analytical models in the field by addressing technology, process and change management requirements
                      • -
                      • Collaborate with data analytics partners in Canada and ES to leverage common capabilities, tools and assets
                      • -
                      -
                    +

                    Job Description

                    -
                    • -Compliance and knowledge management

                      +

                      What You’ll Be Doing

                      +

                      Reporting to the Director, Personal Lending Data & Reporting, the Senior Business Systems Analyst is responsible for developing value added, actionable insights, by leveraging both internal and external data combined with analytical techniques. Using a combined business, technical, and data focused lens, this individual will transform raw data and numbers into meaningful insights through a combination of data feeds, reports, dashboards, and self-serve analytical tools. The successful candidate will be an energetic and self-motivated individual with strong software skills, a commitment to details, and a keen client focus.

                      +

                      +

                      At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                      +

                      +

                      How You’ll Succeed

                        -
                      • Implement consistent and comprehensive standards in documentation across data engineering, business intelligence and analytical models
                      • -
                      • Maintain documentation of existing data processes and models
                      • -
                      • Ensure knowledge are cross pollinated across the team to minimize key personnel knowledge risk
                      • -
                      • Ensure data and analytical processes adhere to compliance processes and data privacy policies, e.g. MEUC, PIA
                      • +
                      • +Consultant- Participate as a thought partner and provide advice and recommendations that assist in the development and evolution of our business mandate and help our business make Better Decisions Faster +
                      • +
                      • +Provide advice and recommendations on available data sources to address the business need.
                      • +
                      • +Consult with technology partners and other data owners to identify relevant data sources and data elements and develop a technical plan (analytical blueprint) to address the business issue
                      • +
                      • +Data Management, Analysis & Insight Development- Using analytical tools and techniques (e.g. SAS, SQL) with efficiency and attention to detail, extract, synthesize and interpret large amounts of appropriate information from multiple sources.
                      • +
                      • +Utilize BI/visualization tools (e.g. Tableau, ThoughtSpot) and use your storytelling skills to translate data into compelling reports and presentations for key stakeholders including Senior Executives. Identify and communicate trends and opportunities, establish and measure KPIs.
                      • +
                      • +Design, develop, and implement fully automated processes from end-to-end that take raw, unstructured datasets and transform them into self-serve analytical “assets” in a structured environment used by analytical and non-analytical end users.
                      • +
                      • +Present insights, advice and recommendations to cross functional business partners at different levels within the organization
                      -

                    -
                    • -Communication and relationship management

                      +

                      Who You Are

                        -
                      • Effectively communicate key insights, ideas and strategies, to an executive level audience in a clear, compelling and concise manner
                      • -
                      • Proactively stay in touch with internal partners to maintain an understanding of new developments in their areas
                      • -
                      • Tailor both written and verbal communication based on audience and situation to maximize buy-in and establish productive working relationships
                      • +
                      • +You are a problem solver. You have exceptional critical thinking, problem solving and decision making skills with demonstrated ability to independently identify and analyze business and technical problems and recommend solutions
                      • +
                      • +You give meaning to data. You enjoy investigating complex problems, and making sense of information. You\'re confident in your ability to translate complex analyses into simple and effective reporting and dashboards +
                      • +
                      • +You understand that success is in the details. You notice things that others don\'t. Your critical thinking skills help to inform your decision making.
                      • +
                      • +You can be clearly understood. You have very strong communication and presentation skills with a demonstrated ability to clearly and concisely present information to groups and individuals at all levels in the organization
                      • +
                      • +You have a degree in a quantitative discipline such as Computer Engineering/ Science, Mathematics, Statistics or other analytically based discipline or equivalent work experience.
                          +
                        • Minimum 5 years’ experience with data analysis and querying using SAS and/or SQL.
                        • +
                        • Proven skills in designing high-quality dashboards and performance scorecards using visualization tools such as Tableau
                        • +
                        • Strong analytical, problem-solving, data management and project management skills; ability to guide the design of and leverage insights from all analyses.
                        • +
                        • Ability to effectively manage multiple activities of varying complexity while under time constraints.
                        • +
                        • Previous financial services experience would be an asset
                        -
                      -
                      • -Team management and other accountabilities

                        -
                          -
                        • Lead and coach a diverse reporting team through proactive career development and continuous feedback loop
                        • -
                        • Actively promote Sun Life brand and community image to attract talent and external partners
                        • -
                        • Ensure ongoing compliance with all applicable regulatory and policy requirements
                        • + +
                        • +You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do.
                        • +
                        • +Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.
                        -

                      -

                      What will you need to succeed?

                      +

                      What CIBC Offers

                      +

                      At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                        -
                      • Minimum of 10 years relevant business experience, ideally within insurance, wealth management or other financial services
                      • -
                      • Experience in leading advanced data analytics functions, e.g. predictive analytics, business intelligence, data engineering
                      • -
                      • Strong business and technical understanding of data and advanced analytics concepts and technology
                      • -
                      • Experience in leading high performing teams and professional knowledge workers
                      • -
                      • Experience in financial and quantitative analysis, including using modelling tools and techniques, would be an asset
                      • -
                      • University degree in business, engineering, computer science or related discipline
                      • +
                      • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.
                      • +
                      • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
                      • +
                      • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.
                      -

                      What's In It For You?

                      +

                      +

                      What you need to know

                        -
                      • Competitive salary and bonus structure influenced by market range data
                      • -
                      • 20 days vacation per year and an innovative sabbatical program
                      • -
                      • Great Place to Work® Certified in Canada and the US - 2022
                      • -
                      • Great Place to Work® award for Best Workplaces for #HybridWork - 2022
                      • -
                      • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid #LI-Remote -
                      • -
                      • A friendly, collaborative and inclusive culture
                      • -
                      • Being part of our Analytics community, where we share best practices and broaden skill-sets
                      • -
                      • Flexible Benefits from the day you join to meet the needs of you and your family
                      • -
                      • Pension, stock and savings programs to help build and enhance your future financial security
                      • -
                      • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle
                      • +
                      • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                      • +
                      • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                      -

                      The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                      -

                      -

                      Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                      -

                      -

                      Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                      -

                      At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                      -

                      We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                      -

                      Salary Range:

                      -

                      138,100/138 100 - 218,200/218 200

                      -

                      Job Category:

                      -

                      Advanced Analytics

                      -

                      Posting End Date:

                      -

                      07/06/2023

                      ",,https://sunlife.wd3.myworkdayjobs.com/Experienced/job/Toronto-Ontario/AVP--Advanced-Analytics-and-Business-Intelligence_JR00080656-2,aitalent@vectorinsitute.ai,https://www.sunlife.ca/ca/Careers,,,2023-06-08T20:55:00.000Z,False,0,5,30,https://talenthub.vectorinstitute.ai/jobs/229165609-avp-advanced-analytics-and-business-intelligence-at-sun-life-financial,,expired,2023-05-25T21:48:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -7045e125-98e2-4d18-bef2-c06187358359,226183785,TD Bank Group,Data Scientist II,on_site,"Toronto, ON",2023-05-16T15:53:05.664Z,"
                      -

                      Company Overview

                      -
                      -

                      Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                      -

                      Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                      -
                      -

                      -

                      Department Overview

                      -
                      -

                      What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                      -

                      As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                      -

                      TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                      -
                      -

                      -

                      Job Description

                      -
                      -

                      About this Role

                      -

                      As Data Scientist you will contribute towards advanced analytics and ML evolution at TD. You will be responsible for developing and managing statistical and ML models used for Valuations in Personalization Analytics use cases. You are not only a functional expert, you also possess broad managerial experience and specialized knowledge of regulatory and industry frameworks, using that knowledge to inform development cycles and develop industry leading analytic solutions.

                      -

                      Most of all, your work ethic and thought leadership inspires your team to innovate with purpose, execute with speed, collaborate to deliver world-class data solutions and ultimately become leaders themselves. We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work enterprise wide.

                      -

                      As a Data Scientist II, these are the essential responsibilities of this role:

                      -
                        -
                      • Provide insight into leading analytics practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core work you’re doing
                      • -
                      • Design and deliver enterprise analytic solutions for customers
                      • -
                      • Develop powerful business insights from segmentation, risk, and performance data
                      • -
                      • Build complex statistical valuations models with knowledge of Banking products profitability and cost drivers
                      • -
                      • Analytical thought leadership and staying ahead of developments in data mining and the application of data science
                      • -
                      • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
                      • -
                      • Generally accountable for a significant business management area that typically has enterprise wide impact or accountability
                      • -
                      • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
                      • -
                      -
                      -

                      -

                      Requirements

                      -
                      What can you bring to TD?

                      -

                      Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                      -
                        -
                      • Graduate level qualification in a relevant technical field (Computer Science, Engineering, Applied Mathematics/Statistics, Operations Research) ideally with a specialization in data mining/machine learning
                      • -
                      • Demonstrated experience of developing classical and ML-oriented models like Logistic Regression, Lasso and Ridge regularization, bagging and boosting models, and advanced modeling algorithms including neural networks.
                      • -
                      • Well-developed analytical abilities: must be comfortable with data and statistics.
                      • -
                      • Up to 7 years’ experience of working in analytical environments
                      • -
                      • Experience in financial modelling and experience in Product Strategy, Risk, Finance or Marketing functions
                      • -
                      • High proficiency in Python, PySpark, Java, R, and its essential libraries
                      • -
                      • Experience with Git
                      • -
                      • Experience with relational databases and usage of SQL
                      • -
                      • Proficiency in Big data (Hadoop, HIVE, PIG, Spark etc.) and unstructured data
                      • -
                      • Demonstrated track record of manipulation of large volume, high frequency data for analytical purposes on a Big Data platform
                      • -
                      • Demonstrated experience of developing and implementing statistical models (predictive & descriptive)
                      • -
                      • Demonstrated experience in delivering high quality, high impact analytical solutions to business problems
                      • -
                      -

                      -

                      Additional Information

                      -
                      -#LI-Hybrid #LI-Post #datascientist
                      -

                      -

                      Hours

                      -
                      37.5
                      -

                      -

                      Inclusiveness

                      -

                      At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                      -

                      -
                      ",,https://jobs.td.com/en-CA/jobs/18306777/data-scientist-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-06-08T15:58:01.449Z,False,0,7,46,https://talenthub.vectorinstitute.ai/jobs/226183785-data-scientist-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18306777/data-scientist-ii-toronto-ca/,expired,2023-05-16T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -1744cca5-f39d-4196-a3bb-9f5300535b6a,229460012,Air Canada,Environmental Affairs Reporting Analyst,on_site,"Calgary, AB, Canada",2023-05-26T15:43:00.696Z,"

                      Being part of Air Canada is to become part of an iconic Canadian symbol, recently ranked the best Airline in North America. Let your career take flight by joining our diverse and vibrant team at the leading edge of passenger aviation.

                      -


                      The purpose of this position is to provide support to the environmental affairs branch for its environmental management system and data management in the areas of BI and reporting. Reporting to the Manager, Environment Data Systems, under the direction of the Director, Environment Management Programs, this position will include performing requirements analysis, data and processes mapping as well as implementing and supporting mission-critical environmental BI reports.

                      -


                      Description

                      -
                        -
                      • Participate in analysis activities to gather environmental programs reporting detail requirements.
                      • -
                      • Translate environmental reporting requirements into technical specifications for implementation of reports and dashboards.
                      • -
                      • Implement automatic data flows that format, clean and transform data for facility of reporting.
                      • -
                      • Develop reports and dashboards and provide support as required to ensure the availability and performance of developed reports.
                      • -
                      • Provide SQL, Power BI, SharePoint, Excel technical assistance to other team members.
                      • -
                      • Evaluate existing data collection solutions for environmental affairs data uncovering areas for improvement.
                      • -
                      • Create data mapping, guidelines and repeatable processes that support environmental data governance
                      • -
                      • Ensuring solutions meet business needs and requirements, by preparing user test cases and leading user acceptance testing.
                      • -
                      • Modify existing environmental BI reports during application upgrade.
                      • -
                      • Serving as a liaison between IT stakeholders and Environmental Affairs.
                      • -
                      • Support existing automation processes and create new ones where required.
                      • -
                      • Ensure daily execution of various scripts required to produce reports.
                      • -
                      • Support development of performance metrics framework for Environmental Affairs.
                      • -
                      -

                      Qualifications

                      -
                        -
                      • B.Sc. in Computer Science or Management Information Systems
                      • -
                      • Understanding of environmental management programs including compliance, air emissions, water stewardship, Illegal wildlife trade, and circular economy.
                      • -
                      • Minimum of 5+ years’ experience supporting complex projects
                      • -
                      • Strong analytical, environmental auditing, and problem-solving skills.
                      • -
                      • Advance understanding of business process mapping, gap analysis, data mapping practices.
                      • -
                      • Understanding of Business Intelligence, databases, and statistics
                      • -
                      • Advanced knowledge of Power BI and MS-Excel (required)
                      • -
                      • Knowledge of Power Automate and SharePoint lists is a strong asset
                      • -
                      • Knowledge of Snowflake and SQL scripts is an asset.
                      • -
                      • Good customer service orientation essential.
                      • -
                      • Solid time management skills.
                      • -
                      • Good organizational skills.
                      • -
                      • Self-starter and ability to work under minimum supervision.
                      • -
                      • Ability to work under pressure and to multi-task with a strong sense of priorities.
                      • -
                      • Good writing and presentation skills.
                      • -
                      -

                      Conditions of Employment:

                      -
                      • Candidates must be eligible to work in the country of interest, at the time any offer of employment is made and seeking any required work permits/visas or other authorizations which may be required is the sole responsibility of the candidates applying for this position.
                      -

                      Linguistic Requirements

                      Based on equal qualifications, preference will be given to bilingual candidates.

                      -

                      Diversity and Inclusion

                      -

                      Air Canada is strongly committed to Diversity and Inclusion and aims to create a healthy, accessible and rewarding work environment which highlights employees’ unique contributions to our company’s success.

                      -

                      As an equal opportunity employer, we welcome applications from all to help us build a diverse workforce which reflects the diversity of our customers, and communities, in which we live and serve.

                      Air Canada thanks all candidates for their interest; however only those selected to continue in the process will be contacted.

                      ",,https://careers.aircanada.com/jobs/12603913-environmental-affairs-reporting-analyst,talent.sourcing@aircanada.ca,https://careers.aircanada.com/,,,2023-06-30T18:08:22.318Z,False,0,5,37,https://talenthub.vectorinstitute.ai/jobs/229460012-environmental-affairs-reporting-analyst-at-air-canada,,expired,2023-05-26T15:43:00.000Z,website-existing-job-slot,Enterprise (500+),Application Click Through,Transportation,Mid-Senior Level,Bachelors Degree,New Posting, -81336085-09bc-4c57-8ffc-5cd9c60f0b41,233912682,Google,"Research Intern, PhD, Fall 2023",on_site,"Toronto, ON, Canada",2023-06-08T15:51:01.519Z,"
                      Google Careers is temporarily undergoing maintenance. Some actions are unavailable. -
                      ",,"https://careers.google.com/jobs/results/131356337821885126-research-intern-phd-fall-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-07-04T01:59:03.250Z,False,0,14,51,https://talenthub.vectorinstitute.ai/jobs/233912682-research-intern-phd-fall-2023-at-google,,expired,2023-06-08T15:51:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,PhD,New Posting, -2a981a1c-8f01-474e-bc49-d28639c093fe,233912681,Google,"Software Developer Intern, PhD, Fall 2023",on_site,"Toronto, ON, Canada",2023-06-08T15:51:01.482Z,"
                      Google Careers is temporarily undergoing maintenance. Some actions are unavailable. -
                      ",,"https://careers.google.com/jobs/results/127322779415388870-software-developer-intern-phd-fall-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-07-04T01:59:03.250Z,False,0,2,17,https://talenthub.vectorinstitute.ai/jobs/233912681-software-developer-intern-phd-fall-2023-at-google,,expired,2023-06-08T15:51:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,PhD,New Posting, -f0f549ac-c95b-4de9-9033-6024eefff23b,233912685,Google,"Software Developer Intern, MS, Fall 2023",on_site,"Toronto, ON, Canada",2023-06-08T15:51:01.702Z,"
                      Google Careers is temporarily undergoing maintenance. Some actions are unavailable. -
                      ",,"https://careers.google.com/jobs/results/139981113188590278-software-developer-intern-ms-fall-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-07-04T01:59:03.250Z,False,0,26,89,https://talenthub.vectorinstitute.ai/jobs/233912685-software-developer-intern-ms-fall-2023-at-google,,expired,2023-06-08T15:51:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Masters Degree,New Posting, +

                      +

                      Job Location

                      Toronto-81 Bay, 25th Floor

                      Employment Type

                      Regular

                      +

                      Weekly Hours

                      37.5

                      Skills

                      +

                      Business Effectiveness, Business Implementation, Communication, Data Reporting, Decision Making, Metrics Analysis, Process Improvements, Reporting and Analysis, Statistical Analysis
                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Consultant--Business-Analytics_2311524?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-07-18T01:46:01.964Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/246379226-sr-consultant-business-analytics-at-cibc,,expired,2023-07-14T01:41:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, 72454f97-22ab-4c1c-9fde-f1efa6aa2f98,92168691,Loblaw Companies Ltd.,"CO-OP, Machine Learning Software Developer",on_site,"1 Presidents Choice Circle, Brampton, ON",2021-11-04T17:55:02.795Z,"
                    @@ -171514,1541 +179751,1205 @@ b77a08b1-68d8-4da2-8a3e-8aee39ad1797,209219326,TD Bank Group,"Senior Manager, An
                  • Experience building natural language processing (NLP) and unsupervised learning models
                  • Strong grasp of fundamentals in statistics (hypothesis testing, regression, inference)
                  • Demonstrated experience exploring large, complex datasets for the purpose of anomaly detection and latent pattern recognition
                  • - -

                    -

                    Nice to have

                    -
                      -
                    • Experience developing interactive and sophisticated dashboards in Tableau (or similar tool)
                    • -
                    • Experience working with Dataiku
                    • -
                    • Understanding of software engineering design principles
                    • -
                    • Demonstrated experience building strong relationships and communicating effectively with both technical and non-technical stakeholders
                    • -
                    • Strong
                    • -
                    -

                    -

                    What’s in it for you?

                    -

                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                    -
                      -
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation
                    • -
                    • Leaders who support your development through coaching and managing opportunities
                    • -
                    • Work in a dynamic, collaborative, progressive, and high-performing team
                    • -
                    • Opportunities to do challenging work
                    • -
                    • Flexible work/life balance options
                    • -
                    -

                    -

                    -

                    Job Summary

                    -

                    Address:

                    TORONTO, Ontario, Canada

                    City:

                    CAN-ON-TORONTO

                    Country:

                    Canada

                    Work hours/week:

                    37.5

                    Employment Type:

                    Full time

                    Platform:

                    Internal Audit

                    Job Type:

                    Regular

                    Pay Type:

                    Salaried

                    Posted Date:

                    2023-03-16

                    Application Deadline:

                    2023-04-12
                    -

                    Inclusion and Equal Opportunity Employment

                    -

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    -
                    -

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                    -
                    ",,https://jobs.rbc.com/ca/en/job/R-0000052748/Senior-Analytics-Manager,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-04-06T21:04:00.000Z,False,0,3,9,https://talenthub.vectorinstitute.ai/jobs/210219313-senior-analytics-manager-at-rbc,,expired,2023-03-30T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -547d8e37-55d3-471a-881c-e4204679a9ca,203172629,TD Bank Group,"Finance, Treasury & Enterprise Strategy Indigenous Intern/Co-op",on_site,"Toronto, ON",2023-03-09T17:24:03.380Z,"
                    -

                    Company Overview

                    -
                    -

                    All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                    -

                    Why TD?

                    -

                    TD’s Colleague Promise: A better you. A better us.

                    -

                    A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                    -
                    -

                    -

                    Department Overview

                    -
                    -

                    TD Finance, Treasury, and Enterprise Strategy are integral and trusted partners to businesses across the Bank, made-up of diverse teams with a range of strengths and capabilities contributing to TD’s overall success.

                    -

                    The Finance, Treasury, and Enterprise Strategy Indigenous Internship Program is intended to recognize outstanding Canadian post-secondary students (both academically and with respect to extra-curricular and / or community service), who identify as an Indigenous person (First Nations, Métis, and Inuit communities) with varying roles available.

                    -

                    This co-op/ intern role will include an opportunity to work in-person, virtually or hybrid, in one of the following areas:

                    -
                      -
                    • Finance
                    • -
                    • Economics
                    • -
                    • Tax
                    • -
                    • Investor Relations
                    • -
                    • Audit
                    • -
                    • Enterprise Strategy
                    • -
                    • Sustainability and Corporate Citizenship
                    • -
                    • Enterprise Real Estate
                    • -
                    • Treasury & Balance Sheet Management
                    • -
                    • Strategic Sourcing
                    • -
                    -

                    Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                    -

                    Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                    -
                      -
                    • Leadership talks with key Leaders from across the organization
                    • -
                    • Lunch and Learns on topics such as Innovation
                    • -
                    • Diversity and Inclusion and Personal Branding and so much more
                    • -
                    -
                    -

                    -

                    Job Description

                    -
                    -

                    This opportunity will help to provide a range of experiences to help build broad business and Finance competencies. This role will not only provide you introductory experience in a professional setting, it will also equip you with skills and experiences that contribute to the completion of your studies and prepare you to build a career in your chosen discipline.

                    Accountabilities may include the following:

                    -
                      -
                    • Use your strong communication, analytical and problem-solving skills to add value
                    • -
                    • Prepare ad hoc analyses, forecasts, and business cases in support of business initiatives and in-depth research projects
                    • -
                    • Assist with business planning, fieldwork, documentation, and reporting tasks
                    • -
                    • Define opportunities for continued enhancements to business processes and make recommendations for process improvements
                    • -
                    • Participate in transformation and innovation activities to ensure TD businesses effectively and efficiently leverage data and technology to drive better sustainable business value
                    • -
                    • Build a diverse skill set, implement process improvements, and develop the confidence to tackle challenging tasks
                    • -
                    -
                    -

                    -

                    Requirements

                    -
                    -Applicants must meet the following requirements:

                    -
                      -
                    • Identify as an Indigenous person (First Nations, Métis, and Inuit communities)
                    • -
                    • Be enrolled in a relevant post-secondary program, focused on Finance, Accounting, Data & Analytics, from Arts/Humanities or a related business field
                    • -
                    • Be a Canadian citizen, permanent resident of Canada, or legally eligible to work in Canada
                    • -
                    • Adept at using productivity tools and end-user software (such as MS Office suite). Experience with more complex analytics tools would be an asset
                    • -
                    • Record of academic achievement, and demonstrated leadership with community involvement
                    • -
                    • Ability to quickly learn and apply new concepts
                    • -
                    • Ability to take initiative and balance multiple tasks. Ability to thrive in a fast-paced, changing environment.
                    • -
                    • Demonstrated strong judgement, decision-making and analytical capabilities
                    • -
                    • Strong verbal and written communication skills and ability to engage colleagues, business partners and stakeholders
                    • -
                    -

                    Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting.

                    -
                    -

                    -

                    Additional Information

                    -
                    -

                    At TD, we recognize there is more work to be done on our collective journey towards Truth and Reconciliation. That’s why, we’re applying our business, people and philanthropy to help create a more inclusive and sustainable tomorrow for Indigenous Peoples across Canada. We believe this is a key step forward on our journey towards Truth and Reconciliation.

                    -

                    We’re committed to the ongoing development and growth of colleagues, so that they can unlock their full potential and achieve their career goals. We treat colleagues with the same care, warmth and respect that we show our customers, and we know that caring colleagues and supportive leaders are what makes TD unique. To learn more, visit Indigenous talent at TD.

                    -

                    We work to attract and develop next generation of professionals by offering paid internships, rotational programs, and management associate programs.

                    -
                      -
                    • As part of TD’s commitment to attract talent from Indigenous Communities, we invite all applicants from First Nations, Métis, and Inuit communities to apply for this role. Qualified applicants applying through this posting will be considered for open job vacancies, where they exist, or added to our Diversity Talent Network for other upcoming opportunities.
                    • -
                    • We also have a wide variety of roles available at TD and we encourage all candidates from First Nations, Métis, and Inuit communities to apply. https://jobs.td.com/en-CA/
                    • -
                    -

                    Application Requirements

                    -
                      -
                    • Applications must include a cover letter (one letter-sized page or less), a resume (maximum of 2 pages).
                    • -
                    • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                    • -
                    • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                    • -
                    -
                    -

                    -

                    Start Date

                    -
                    – Fall
                    -

                    -

                    Inclusiveness

                    -

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -

                    -
                    ",,https://jobs.td.com/en-CA/jobs/17932749/finance-treasury-enterprise-strategy-indigenous-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-08T20:26:33.582Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/203172629-finance-treasury-enterprise-strategy-indigenous-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17932749/finance-treasury-enterprise-strategy-indigenous-intern-co-op-toronto-ca/,expired,2023-03-09T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -76ee671f-1607-4374-9019-8a6af3544c25,203440754,BMO Financial Group,"Head, BMO Commercial Data Sciences",on_site,"Ontario, Canada",2023-03-10T17:12:02.338Z,"
                    -

                    Address:

                    100 King Street West

                    -

                    -

                    Job Family Group:

                    Data Analytics & Reporting

                    -

                    -

                    -

                    -

                    The BMO Commercial Data & Analytics team is growing to meet the needs of the BMO Commercial business. BMO Commercial is a top 5 North American Commercial Bank and seeks to enhance all aspects of its businesses by leveraging vast amounts of data via analytical approaches. The aim of the team is to grow the business, minimize costs, reduce losses and foster data-backed decision making locally at the client level and in aggregate at every business level. This is an exciting time to be with BMO Commercial Data & Analytics, with several in-flight initiatives, and business partners that are engaged to drive value for our business.

                    -


                    The head of BMO Commercial, Data Sciences will apply knowledge of advanced analytic algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence, data models) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. The Head will also apply strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insights in a way that resonates with business/groups. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

                    -

                    -

                    The role will support the overall BMO Commercial Data & Analytics practice, including making recommendations that broadly support a best-in-class Data & Analytics function. A deep, integrated understanding of Commercial Banking is required to effectively support our Commercial growth ambitions.

                    -

                    -

                    Responsibilities:

                    -

                    -
                      -
                    • Acts as a trusted advisor to senior leaders for making business decisions and implementing strategic initiatives.
                    • -
                    • Provides thought leadership and strategic advice to businesses through “art of the possible” conversations and demonstrating value though “Proof of Values”.
                    • -
                    • Networks with industry contacts to gather competitive insights and best practices.
                    • -
                    • Recommends business priorities, advises on resource requirements and develops roadmap for strategic execution.
                    • -
                    • Makes strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.
                    • -
                    • Structures loosely defined and complex business problems; determines new experimentation methods and statistical techniques to design solutions.
                    • -
                    • Acts as the prime contact for internal/external stakeholder relationships, which may include regulators.
                    • -
                    • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • -
                    -
                      -
                    • Leads discovery process with stakeholders to identify business requirements and expected outcome and to select relevant sources of data/information.
                    • -
                    • Develops an expert understanding of business/group challenges.
                    • -
                    • Develops the business case by identifying needs, analysing potential options and assessing expected return on investment.
                    • -
                    • Drives analytics innovation; poses open-ended questions, explores new ideas, and chooses appropriate techniques for solving business problems.
                    • -
                    • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
                    • -
                    • Defines business requirements for analytics & reporting to ensure data insights inform business decision making.
                    • -
                    • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • -
                    • Identifies/creates the appropriate algorithm to discover patterns.
                    • -
                    • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, refine hypotheses.
                    • -
                    • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                    • -
                    • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                    • -
                    • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                    • -
                    • Fosters strong internal and external networks and works with and across multiple teams to achieve business objectives.
                    • -
                    -
                      -
                    • Manages resources and leads the execution of strategic initiatives to deliver on business and financial goals.
                    • -
                    • Diagnoses and resolves predictive / analytical model performance issues while monitoring system performance and implementation of efficiency improvements.
                    • -
                    • Leads change management programs of varying scope and type, including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
                    • -
                    • Collaborates across BMO to develop communications strategies and ensure consistency of messaging, in order to positively influence or change behaviour.
                    • -
                    • Sets up change control and testing processes to ensure the quality and consistency of ongoing maintenance work.
                    • -
                    • Leads and designs and implements policies and procedures around new data sets to ensure data quality, consistency, repeatability, and accuracy of insights.
                    • -
                    • Supports development of tools and delivers training for data analytics and AI.
                    • -
                    -
                      -
                    • Recommends measures to improve organizational effectiveness.
                    • -
                    • Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
                    • -
                    • Ensures alignment between values and behaviour that fosters diversity and inclusion.
                    • -
                    • Regularly connects work to BMO\'s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.
                    • -
                    • Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders.
                    • -
                    • Improves team performance, recognizes and rewards performance, coaches employees, supports their development, and manages poor performance.
                    • -
                    • Broader work or accountabilities may be assigned as needed.
                    • -
                    -

                    -

                    Qualifications:

                    -
                      -
                    • Typically 9+ years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience.
                    • -
                    • Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience.
                    • -
                    • Experience with distributed computing language (e.g. Hive / Hadoop/ Spark) & cloud technologies (e.g. AWS Sagemaker, AzureML).
                    • -
                    • Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, , Perl) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
                    • -
                    • Seasoned expert with extensive industry knowledge.
                    • -
                    • Technical leader viewed as a thought leader for innovation.
                    • -
                    • Verbal & written communication skills - Expert.
                    • -
                    • Analytical and problem solving skills - Expert.
                    • -
                    • Influence skills - Expert.
                    • -
                    • Collaboration & team skills; with a focus on cross-group collaboration - Expert.
                    • -
                    • Able to manage ambiguity.
                    • -
                    -

                    -

                    -

                    We’re here to help

                    -

                    -

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    -

                    -

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    -

                    -

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    -

                    -

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    -

                    -

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    -
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Head--BMO-Commercial-Data-Sciences_R230002213?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-04-09T20:21:39.539Z,False,0,3,15,https://talenthub.vectorinstitute.ai/jobs/203440754-head-bmo-commercial-data-sciences-at-bmo-financial-group,,expired,2023-03-10T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -b9e82aa1-5f33-454d-b1e2-a1b8fe8419c4,207766207,EY,Senior Manager - Data Risk - Quality and Governance Management,on_site,Toronto,2023-03-23T17:37:01.487Z,"

                    Senior Manager - Data Risk - Quality and Governance Management

                    Location: Toronto
                    Other locations: Primary Location Only
                    Date: 19-Apr-2023
                    At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
                    -
                    -

                    We help the world’s largest financial institutions navigate the intricate regulatory environment to effectively manage and assess capital in support of their ongoing strategies. More than ever, financial institutions are investing in enhancing their capital management capabilities to make better business decisions, presenting us with the unique opportunity to rally together to solve our clients’ most complex challenges.

                    -

                    -

                    The opportunity

                    -

                    -

                    EY’s Financial Services Risk Management (FSRM) practice is a consulting unit that provides risk management support to banks, insurers and asset managers. Our team includes individuals who have industry, client and product knowledge as well as quantitative, regulatory, project management and technology professionals.

                    -

                    -

                    We are seeking a Senior Manager with minimum 10-years experience in Data Risk, Data Quality, and Data Governance Management acquired in the banking industry or in consulting services to join our team.

                    -

                    -

                    Your key responsibilities

                    -

                    -

                    As a Data Risk, Quality and Governance Management Senior Manager you will provide subject matter expertise on the design, development and implementation of data risk programs to help our clients proactively identify and manage risks related to their data. You will also provide subject matter expertise to help our clients improve the quality of their Finance and Risk Data through strong governance practices aligned to regulatory expectations.

                    -

                    -

                    You will develop materials, tools and methodologies to support client delivery, thought leadership and go-to-market activities (including conferences, client proposals, targeted campaigns). You will actively participate in business development activities to identify, generate and close new business opportunities.

                    -

                    -

                    You will be responsible for leading multiple client engagement teams, overseeing and managing the delivery team, and delivering high-quality services and deliverables to our clients based on industry leading practices, EY frameworks, and regulatory expectations for Data Risk, Quality and Governance Management.

                    -

                    -

                    This role provides the unique opportunity to build a professional network, tackle complex data issues, and provide thought leadership to shape the understanding and management of data risk, quality and governance management across industry leading clients and domains.

                    -

                    -

                    Additional responsibilities include:

                    -
                    • Helping clients establish data governance and risk programs to drive data ownership and stewardship into the client businesses
                    • Performing data governance reviews, designing target operating models, designing/implementing/assessing IT and data controls, performing data risk and data literacy assessments
                    • Conducting current state assessments, evaluating assessment results, and presenting findings in a logical and easy-to-understand manner (for both Data Risk and Data Governance Management)
                    • Conducting data quality and completeness certifications for finance and risk datasets and providing actionable recommendations (e.g., historical data certification of credit risk data)
                    • Assisting clients with setup of 3 LOD data risk management framework
                    • Assisting with data architecture reviews and advising on data solutions that pertain to data governance programs (data catalogue, data quality, business glossary, data tools/software, metadata management, master data management, lineage)
                    • Developing, leading, and implementing plans that will roll out the data management, governance and data risk management programs within the client organization
                    • Performing gap analyses to determine initiatives and build out roadmaps to address identified gaps focused on communication plans, governance structures, and investment prioritization for execution
                    • -
                    -


                    Skills and attributes for success

                    -
                    • Strong communication, presentation and writing skills to describe ideas, concepts and issues, analysis and assessment of complex conceptual topics
                    • Be self-motivated and passionate about data strategy, management, governance and risk
                    • Willingness to travel on short notice to Canadian clients (travel is expected to be less than 20%)
                    • -
                    -


                    To qualify for the role, you must have

                    -
                    • University degree required in finance, computer science, information systems, mathematics engineering, or a related discipline
                    • Bilingual skills in French and English are a strong asset
                    • 5+ years of experience developing data management and governance strategies
                    • 10+ years of experience in and understanding of concepts and frameworks pertaining to Data Management- Data Governance, Data Policy, Data Lineage, Data Quality, Data Risk and Control Frameworks, Data Literacy, Reference Data Management, Metadata Management
                    • Possess knowledge of frameworks, standards and regulatory requirements related to Data Governance, Data Management - BCBS239, CCAR, etc.
                    • Knowledge of SQL with experience operating in big data environments.
                    • Knowledge of Finance and Risk data sets including technology environment and infrastructure (e.g., data lakes, cloud storage, enterprise data warehouse, banking systems, etc.) at Financial Institutions
                    • Strong leadership experience within data management and governance
                    • Worked with or have an understating of EDM Council DCAM assessment or an alternative data maturity assessment; be certified in EDM Council DCAM Assessment
                    • Experience with data management tools such as Collibra, Informatica, etc.
                    • Advanced problem-solving skills, superior communication (verbal and written) with the ability to lead meetings, hold workshops with executives, communicate complex ideas effectively, advocate solutions and results to technology and business audiences
                    • Experience working independently, efficiently, and effectively under tight timelines and delivering results by critical deadlines
                    • Experience of Agile and traditional SDLC delivery methodologies
                    • -
                    -


                    Ideally, you’ll also have

                    -
                    • Prior consulting experience
                    • Demonstrated history of driving revenue within existing clients and in developing new prospects at the ""C"" level of Fortune 500 companies.
                    • -
                    -


                    What we look for

                    -

                    -

                    If you’re a natural leader with a talent for answering and communicating complex client problems, we’re interested in you. You’ll need to be great at influencing people, ready to listen and confident in challenging the status quo. If you have a genuine passion for helping businesses and addressing their most pressing problems, this role is for you.

                    -

                    -

                    What we offer

                    -

                    -

                    At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

                    -

                    -

                    We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you to decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

                    -
                    • Support and coaching from some of the most engaging colleagues in the industry
                    • Learning opportunities to develop new skills and progress your career
                    • The freedom and flexibility to handle your role in a way that’s right for you
                    • -
                    -

                    -

                    Diversity and Inclusion at EY

                    -

                    -

                    Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. From our actions to combat systemic racism and our advocacy for the LGBT+ community to our innovative Neurodiversity Centre of Excellence and Accessibility initiatives, we welcome and embrace the diverse experiences, abilities, backgrounds and perspectives that make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                    -
                    -
                    -
                    EY | Building a better working world
                    -
                    -
                    EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
                    -
                    -
                    Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
                    -
                    -
                    Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
                    ",,https://careers.ey.com/ey/job/Toronto-Senior-Manager-Data-Risk-Quality-and-Governance-Management-ON-M5H-0B3/902292901/,feed-importer@jobboard.io,,,,2023-04-22T19:55:29.738Z,False,0,3,15,https://talenthub.vectorinstitute.ai/jobs/207766207-senior-manager-data-risk-quality-and-governance-management-at-ey,https://careers.ey.com/ey/job/Toronto-Senior-Manager-Data-Risk-Quality-and-Governance-Management-ON-M5H-0B3/902292901/,expired,2023-03-23T17:37:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,New Posting, -6a030786-2a94-4333-b721-31f4af5abbdf,207762199,Loblaw Companies Ltd,Senior Data Engineer,on_site,"Ontario, Canada",2023-03-23T17:14:04.053Z,"
                    -

                    Referred applicants should not apply directly to this role.

                    -

                    All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                    -

                    -

                    -

                    Location:

                    500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

                    -

                    When you hire great people, great things can happen.

                    -

                    PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

                    -

                    -

                    Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

                    -

                    -

                    Why This Role is Important:

                    -

                    Our mission is to build the PC Bank Payment & Rewards Data Platform, which would serve as an integrated data platform to perform complex big-data processing, advanced analytics, and machine learning. The Senior Data Engineering position is a fantastic opportunity for an experienced Data Engineer to join our expanding PC Bank Payment & Rewards Engineering team.

                    -

                    The Data Engineering team is looking for passionate people working in a fast-paced organization using Agile/Scrum methodology to deliver excellent solutions for our demanding customer service, operations requirements, and resolving the engineering challenges of building robust and scalable data systems aligned to enterprise data strategy.

                    -

                    You will participate in defining technical solutions, code architectures, and will be responsible for developing and delivering production-ready code. The ideal candidate will be someone who genuinely enjoys problem-solving and writing high-quality code to build robust, highly distributed, and scalable data processing systems and pipelines. Some of the challenges the candidate would tackle are:

                    -
                      -
                    • Design, implement and operate PC Bank’s core datasets that have extreme requirements on scalability, reliability, maintainability, flexibility, auditability, and quality

                    • -
                    • Design large scale streaming and batch data pipelines (billions of data points) that involve analyzing transactions over a long period without reprocessing vast amounts of data

                    • -
                    • Perform data profiling and source to target mapping analysis for the best design

                    • -
                    • Collaborate with business solution analysts, other engineers, solution architects, and other team members to innovate and evolve our datasets to data products to create a single coherent platform with sources of truth that serve a plethora of stakeholders within PC Bank

                    • -
                    -

                    -

                    -

                    -

                    What you’ll do

                    -
                      -
                    • Apply your expertise in data and software engineering to design and implement data products that meet extreme requirements on scalability, reliability, maintainability, flexibility, auditability, and quality

                    • -
                    • Be T-Shaped. Your primary area is data engineering, but you are comfortable working in a secondary area of expertise such as data presentation/visualization, backend engineering, or data modelling (SQL, NoSQL, Graph & Time-series)

                    • -
                    • Work closely with cross-functional teams of data, backend and frontend engineers, product owners, technical product owners, and technical support personnel

                    • -
                    • Gaining technical expertise in building a data platform at scale to solve business, product, and technical use cases

                    • -
                    • Getting hands-on experience with technologies such as Elasticsearch, Apache Airflow, Apache Kafka, Apache Beam, Apache Spark, Hive, HDFS, Kubernetes (Openshift)

                    • -
                    • Getting hands-on experience with Google Cloud Platform and technologies such as BigQuery, Cloud Composer, Pub/Sub, Dataflow, Dataproc, GCS, Looker, and other cloud-native offerings in GCP

                    • -
                    -

                    -

                    -

                    -

                    Who you are

                    -
                      -
                    • An undergraduate or Master’s degree in Computer Science or equivalent engineering experience

                    • -
                    • 6+ years of professional software engineering and programming experience (Java, Python) with a focus on designing and developing complex data-intensive applications

                    • -
                    • 3+ years of architecture and design (patterns, reliability, scalability, quality) of complex systems

                    • -
                    • Advanced coding skills and practices (concurrency, distributed systems, functional principles, performance optimization)

                    • -
                    • Professional experience working in an agile environment

                    • -
                    • Strong analytical and problem-solving ability

                    • -
                    • Strong written and verbal communication skills

                    • -
                    • Experience in operating and maintaining production-grade software

                    • -
                    • Comfortable with tackling very loosely defined problems and thrive when working on a team which has autonomy in their day to day decisions

                    • -
                    -

                    -

                    -

                    -

                    Preferred Skills

                    -
                      -
                    • In-depth knowledge of software and data engineering best practices

                    • -
                    • Experience in mentoring and leading junior engineers

                    • -
                    • Experience in serving as the technical lead for complex software development projects

                    • -
                    • Experience with large-scale distributed data technologies and tools

                    • -
                    • Strong experience with multiple database models ( relational, document, in-memory, search, etc )

                    • -
                    • Strong experience with Data Streaming Architecture ( Kafka, Spark, Airflow, SQL, NoSQL, CDC, etc )

                    • -
                    • Strong knowledge of cloud data platforms and technologies such as GCS, BigQuery, Cloud Composer, Pub/Sub, Dataflow, Dataproc, Looker, and other cloud-native offerings

                    • -
                    • Strong Knowledge of Infrastructure as Code (IaC) and associated tools (Terraform, ansible etc)

                    • -
                    • Experience pulling data from a variety of data source types including Mainframe (EBCDIC), Fixed Length and delimited files, databases (SQL, NoSQL, Time-series)

                    • -
                    • Strong coding skills for analytics and data engineering (Java, Python, and Scala)

                    • -
                    • Experience performing analysis with large datasets in a cloud-based environment, preferably with an understanding of Google’s Cloud Platform (GCP)

                    • -
                    • Understands how to translate business requirements to technical architectures and designs

                    • -
                    • Comfortable communicating with various stakeholders (technical and non-technical)

                    • -
                    -

                    -

                    -

                    -

                    Nice to have Skills (though not required)

                    -
                      -
                    • Exposure to data-science or machine-learning packages (Pandas, Pytorch, Keras, TensorFlow, etc...)

                    • -
                    • Contributions to open-source software (code, docs, or mailing list posts)

                    • -
                    • GCP Professional Data Engineer Certification

                    • -
                    -

                    -

                    Number of positions available: 7

                    -

                    -

                    Please Note: This an opportunity for Third Party Contractors.

                    -

                    -

                    Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

                    -

                    -

                    -

                    Number of Openings:

                    0

                    -

                    PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

                    -

                    -

                    In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                    -

                    -

                    -

                    Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                    -
                    ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Senior-Data-Engineer_R2000311793?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-04-22T19:23:05.497Z,False,0,3,8,https://talenthub.vectorinstitute.ai/jobs/207762199-senior-data-engineer-at-loblaw-companies-ltd,,expired,2023-03-23T17:14:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Senior Level,Bachelors Degree,New Posting, -7fc7480f-8fef-4a11-850a-b07447582ef5,210220479,Scotiabank,"Manager, Exposure and Capital Analytics",on_site,Canada : Ontario : Toronto,2023-03-30T17:22:02.319Z,"

                    -

                    -

                    -

                    -

                    Requisition ID: 176169

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    -

                    As a Manager, Exposure and Capital Analytics, you will maintain and improve the accuracy of RWA (risk weighted assets) measurement, a key mandate of GRM (Global Risk Management). One of the manager’s main responsibilities is to assess current measurement methodologies, calculations, data, and processes for regulatory capital benchmarking to industry best practices and lead/support enhancement initiatives. The manager will also work with other team members to manage the production of bank’s internal capital results and assist model/process development/enhancement and parameter calibration.

                    -

                    -

                    What you'll do in this role?

                    -
                    • Review and benchmark regulatory capital methodology/process/data to industry best practices for business banking, retail and capital markets products.
                    • Work with business lines, finance, Basel office, credit policy and other business partners to identify capital enhancement opportunities and assess feasibility and impact.
                    • Work with IT, data governance, finance to develop a plan for capital enhancement; Coordinate the plan execution and manage communication and implementation.
                    • Keep abreast with specialized knowledge of Basel II / III, OSFI Capital Adequacy Rules (CAR) rules, risk management and financial products under advanced and standardized approaches.
                    • Develop business intelligence tools and analytics (e.g. Power BI) on capital regulation changes or business impact (Basel IV) to senior management and business lines.
                    • Work together with other team member to manage the production of bank’s internal capital results and assist model/process development/enhancement and parameter calibration.
                    • Lead or assist bank’s profitability modelling as the SME for regulatory and economic capital
                    • Take a central role in the development of bank’s capital analytical and reporting tool across various risk types.
                    • Maintain/Develop bank’s internal capital modelling methodology and production for credit risk (business banking, CCR and domestic retail)
                    • -
                    -

                    -

                    What we're looking for?

                    -
                    • 2+ years’ work experience related to financial risk analytics, wholesale banking, retail, capital markets and/or quantitative finance is required. Strong candidate with no prior work experience will also be considered.
                    • Bachelor degree in a quantitative subject such as Math, Science, Engineering, Finance or Economics is required. Advanced degree is strongly preferred.
                    • Superior critical thinking ability and the ability to work under tight timelines.
                    • Strong verbal and written communication skills and proven problem solving skills required.
                    • Knowledge in regulatory capital, credit risk metrics, and quantitative finance is highly desired.
                    • Knowledge and experience in data analytics, machine learning, and Artificial intelligence is desired. Strong programming skills in SQL, Python or R are desired.
                    • Completion or progression in the CFA and FRM programs are assets.
                    • Demonstrated accountability.
                    • -
                    -

                    -

                    What’s in it for you?

                    -
                    • The opportunity to join a forward-thinking company surrounded by a collaborative team of innovative thinkers.
                    • A rewarding career path with diverse opportunities for professional development.
                    • Internal development to support your growth and enhance your skills.
                    • A competitive compensation and benefits package.
                    • An organization committed to making a difference in our communities– for you and our customers.
                    • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                    • -
                    -

                    -

                    -

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Exposure-and-Capital-Analytics-ON-M5H1H1/569015517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-20T17:27:04.342Z,False,0,2,13,https://talenthub.vectorinstitute.ai/jobs/210220479-manager-exposure-and-capital-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Exposure-and-Capital-Analytics-ON-M5H1H1/569015517/,expired,2023-03-30T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -e39f0cb1-ed87-4e25-a745-e94ccde169ed,214825367,TD Bank Group,Data Steward I TD Asset Management,on_site,"Toronto, ON",2023-04-13T17:24:05.938Z,"
                    -

                    Company Overview

                    -
                    -

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    -

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    -
                    -

                    -

                    Department Overview

                    -
                    -

                    TD Asset Management Inc. is one of Canada’s largest investment management firms offering an ever-expanding suite of investment management solutions.
                    TDAM’s flexible suite of investment management solutions has been specially designed to meet the needs of institutional investors including pension funds, corporations, endowments, foundations as well as accounts for high net worth and retail investors.
                    In addition to domestic and global equity and fixed income domestic products, we also offer cash management, transition management, portable alpha strategies, hedge funds, asset mix rebalancing services and passive currency overlay strategies.

                    -

                    Data governance and management at TD is part of an enterprise-wide data and analytics ecosystem. Adaptability is key. You may be part of the data and analytics professional community managing data assets aligned to TD’s overarching policies or strategies, or you may find yourself directly immersed in various lines of business. Data stewardship at TD spans the enterprise and welcomes experts like you to help drive our business forward while protecting the interests of our organization, customers and shareholders.

                    -
                    -

                    -

                    Job Description

                    -
                    -

                    Are you an experienced data steward and data analysis expert? If so, this role offers a hands-on opportunity to execute on line of business data strategy, working in alignment with Bank-wide data standards and policy. This is an expert professional role requiring in-depth knowledge in your field of specialty and working knowledge of broader related areas. You may be appointed Data Steward for your line of business.

                    -

                    This Position has three broad groupings of accountabilities:

                    -

                    Accountabilities to the Team – Team Member

                    -
                      -
                    • Foster a cohesive team; promote a positive work environment
                    • -
                    • Assist team members and provide leadership as required
                    • -
                    • Provide team subject matter expertise on TDAM / TDBG data related matters
                    • -
                    • Lead and contribute to group-wide projects, including technology and business projects, contributing innovative thinking and analysis
                    • -
                    • Assist in positively promoting the team and the department within TDAM and across TDBG to build trust and ensure data needs are met
                    • -
                    • Support an environment that promotes respect for the individual employee and adheres to the policies and guidelines of the Bank
                    • -
                    • Support the team in providing leadership, direction, advice and guidance to the team, thus maintaining high levels of integrity, motivation and morale
                    • -
                    • Initiate actions to further improve your own and the team skills and performance, continuously look for opportunities for professional development
                    • -
                    -

                    Accountabilities to the Customer – Data Management, Data Stewardship and Projects

                    -
                      -
                    • Support and help drive forward TDAM Data Governance policy and procedures
                    • -
                    • Executing data management and reconciliation processes to protect the validity of TDAM data
                    • -
                    • Effectively co-ordinate delivery of data to customers
                    • -
                    • Review, facilitate and implement the ongoing development and improvement of data processes
                    • -
                    • Work with business partners to monitor data quality and implement data policy standards
                    • -
                    • Reduce data duplication/replication, streamline data flows and allow flexible access to business data
                    • -
                    • Support change management activities around projects or initiatives undertaken – ensure clear communication of new processes
                    • -
                    • Promote and abide by the data governance policy of TDAM and the Enterprise Data Governance Office
                    • -
                    -

                    Accountabilities to the Shareholder – Process Improvement / Project Initiatives

                    -
                      -
                    • Project Initiatives – develop solutions related to the TDAM data environment and assist in the delivery of strategic business initiatives:
                    • -
                    • Accountable for the analysis required to interpret business needs into requirements
                    • -
                    • Documenting business requirements as required
                    • -
                    • Ensuring appropriate controls and processes are in place, developed and maintained
                    • -
                    • Review and recommend changes for standardization of position data integrity functions
                    • -
                    • Metrics review and reporting
                    • -
                    • Report / escalate issues or identified process gaps
                    • -
                    • Promote an organization of lean principles with a view to reduce waste and improve effectiveness
                    • -
                    • Comply with current regulations and adapt quickly to change
                    • -
                    -
                    -

                    -

                    Requirements

                    -
                    -What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    -
                      -
                    • Undergraduate degree or technical certificate
                    • -
                    • Five (5) or more years relevant experience
                    • -
                    • An understanding of data architecture would be an asset
                    • -
                    • A working knowledge of SQL and Relational database design
                    • -
                    • A working knowledge of Alteryx would be an asset
                    • -
                    • A working knowledge of Tableau
                    • -
                    • A working knowledge of object oriented design and analysis
                    • -
                    • A working knowledge in office automation toolsets ie. MS Excel Macros, MS Access
                    • -
                    • Working knowledge of TDBG data standards and policies
                    • -
                    • Lead by example and have strong judgment and a proactive approach to problem solving
                    • -
                    • Strong communication , effective writing and influencing skills
                    • -
                    • Highly motivated and enthusiastic individual who demonstrated the ability to work in a high volume, fast paced environment while constantly promoting teamwork
                    • -
                    • Highly organized with strong focus on quality of deliverables
                    • -
                    • Effective time management skills with the ability to multitask and handle tight deadlines
                    • -
                    • Exhibits and encourages a positive and proactive approach toward change and ongoing development
                    • -
                    • Must have the ability to change direction quickly with a strong understanding of change management
                    • -
                    • Be effectively and thrive in a fast paced environment
                    • -
                    • Knowledge of products and processes used in the institutional investment industry
                    • -
                    • Strong Analytical, Logical and Organizational skills
                    • -
                    • Effective process analysis and requirements elicitation skills
                    • -
                    • Leadership skills
                    • -
                    • Ability to work independently but possess the ability to work effectively within a group with a team focus
                    • -
                    • Ability to deal with and influence individuals at all levels of the organization, along with vendors and consultants
                    • -
                    • Commitment to attendance/participation in industry-recognized courses and conferences
                    • -
                    -
                    -

                    -

                    Hours

                    -
                    37.5
                    -

                    -

                    Inclusiveness

                    -

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -

                    -
                    ",,https://jobs.td.com/en-CA/jobs/18127038/data-steward-i-td-asset-management-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-20T17:29:03.560Z,False,0,3,18,https://talenthub.vectorinstitute.ai/jobs/214825367-data-steward-i-td-asset-management-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18127038/data-steward-i-td-asset-management-toronto-ca/,expired,2023-04-13T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -3970a783-6898-4bc7-8de2-175c00725cbe,211704961,Magna International,Junior Software Integration Engineer,on_site,"NEWMARKET, ONTARIO, CA, L3X 2S2",2023-04-03T17:39:02.139Z,"
                    -
                    -

                    Role Summary

                    -
                    -

                    Ignite Your Transformation
                    For a big company, we're surprisingly entrepreneurial. Expect a collaborative and supportive atmosphere that will help you grow, both professionally and personally. We are committed to delivering success by offering our customers a truly diverse and global range of products. Step into an inclusive and dynamic team - Be part of the Magna family.

                    -


                    Closures Technical Centre, a division of Magna International Inc., is focused on the design, development and testing of Mechatronics products for the automotive industry. We are currently looking for a Junior Software Integration Engineer with Python experience for a 12-month contract in Newmarket, Ontario.

                    -
                    -
                    -
                    -

                    Key Responsibilities

                    -
                    • Design, Code and Debug innovative applications to develop new technology and transform internal processes using agile software development methodology
                    • Improve CAE analyses as well as EE/ME processes to enable efficient and robust product development
                    • Optimize and integrate software development process, with design and test automation/validations to reach high correlation confidence levels and implement the digital twin
                    • Record, analyze and integrate historical development (design, analyses and test) data into future designs to shrink PD cycle and improve response time to customer – apply data science/ML principles to develop insights and apply to better predict product behaviors
                    • Research and implement the latest technology and process improvements methodologies
                    • Ownership over your own work and a commitment to every part of a task, from the big picture to small details
                    • -
                    -
                    -
                    -

                    Key Qualifications/Requirements

                    -
                    • Minimum BASC in Mechanical, Electrical, Computer or Software Engineering, or Computer Science or equivalent degree
                    • 1-2 years of experience in software integration and development in related field
                    • Proficient in Python development with Scikit, Keras, Pandas, etc.
                    • Additional experience preferred: Visual Studio, MFC, .NET, Eclipse, JVM, Javascript, SQL, VBA, Matlab, Simulink, Statistical modeling
                    • Familiarity with SQL Databases, Big Data, IoT, Data Analytics, AI and optimization routines like Genetic Algorithms, etc
                    • Understanding of core Data Science concepts such as data structures/models and algorithms and machine learning (ML)
                    • Experience with object oriented and functional programming, version control like git, github
                    • Understanding of multiple software development processes, design patterns
                    • Basic understanding of mechanical design and analyses processes
                    • Experience with Windows and Embedded development environments and libraries is beneficial
                    • MS Office suite + Automation and App development
                    • -
                    -
                    -
                    -

                    Additional Information

                    -

                    Accommodations for disabilities in relation to the job selection process are available upon request.

                    -
                    -
                    -

                    Awareness. Unity. Empowerment.

                    -

                    At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                    -
                    -
                    ",,https://jobs.magna.com/job/NEWMARKET-Junior-Software-Integration-Engineer-ONTA-L3X-2S2/565270417/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-04-20T17:44:03.239Z,False,0,9,44,https://talenthub.vectorinstitute.ai/jobs/211704961-junior-software-integration-engineer-at-magna-international,https://jobs.magna.com/job/NEWMARKET-Junior-Software-Integration-Engineer-ONTA-L3X-2S2/565270417/,expired,2023-04-03T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Manufacturing ,Associate,Bachelors Degree,New Posting, -b2ae66f4-a6cd-4b0a-ad67-21188931e6b4,207766209,EY,Manager - Data Science - Toronto,on_site,Toronto,2023-03-23T17:37:01.581Z,"

                    Manager - Data Science - Toronto

                    -
                    Location: Toronto
                    -
                    Other locations: Primary Location Only
                    -
                    Date: Apr 20, 2023
                    -
                    At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
                    -
                    -

                    The opportunity

                    -

                    -

                    We are seeking a Manager, Data Science. We are seeking passionate, entrepreneurial individuals to join us on an exciting Data & Analytics journey and building an expanding set of Managed Data Science Services across multiple industries with a strong focus on insurance industry.

                    -

                    -

                    You will help industry clients especially our insurance sector clients navigates the complex world of modern data science and analytics. We’ll look to you to provide our clients with a unique business perspective on how data science and analytics can transform and improve their entire organization - starting with key business issues they face. This is a high growth, high visibility area with plenty of opportunities to enhance your skillset and build your career.

                    -

                    -

                    Your key responsibilities

                    -

                    -

                    The role will be responsible for proactively identifying and prioritizing use cases across value chains in insurance industry leveraging AI and Machine Learning techniques, building, and validating, deploying, and monitoring advanced descriptive, predictive, and prescriptive advanced analytics solutions. The role will coach the data engineer and data science team to deliver service and develop solutions with business mindset.

                    -

                    -

                    What will you do?

                    -
                    • Collaborate with insurance account teams to understand clients’ needs and guide them towards building AI and Machine Learning solutions delivering both short-term wins and identifying long-term opportunities for managed data science services
                    • Build/deliver the roadmap to develop/implement AI/ML products with a team of data-scientists, data engineers and business focused product owners
                    • Build, validate, deploy, monitor, and provide MLOps support for a set of AI/Machine Learning models and services for both internal POCs and Client production initiatives
                    • Conduct analysis to address insurance issues; propose quality solutions and provide implementation support when required
                    • Leverage commercial and open-source AI, Machine Learning, Big Data ecosystem tools, BI, Visualization and Discovery tool to deliver advanced models and other Data Science solutions with the team. Specific tools will include (but not limited to), full SAS stack, R, Python, Scala, Java, Spark SQL/ML/MLLib/GraphX, Data Science Notebooks and Workbenches, Azure Machine Learning, Tableau, Datameer, and other tools
                    • Proactively monitor and tune AI / Machine Learning model performance, manage champion/challenger models to ensure optimal performance and resource utilization.
                    • Ensure all AI/Machine Learning models are properly packaged and documented for deployment. Participate in client training and knowledge transfer as required.
                    • Ensure all solutions comply with the highest levels of security, privacy and data governance requirements as outlined by EY and Client legal and information security guidelines, law enforcement, and privacy legislation, including data anonymization, encryption, and security in transit and at rest and others as applicable
                    • Effectively leverage continuous integration, continuous development and continuous deployment agile and DevOps tools and processes to deliver and support advanced Data Science and Big Data solutions and services, including Git, Jira, Jenkins and others as required
                    • Acts as a Subject Matter Expert and a Thought Leader, continuously following industry trends, the latest competitive developments, and delivering papers and presentations at major industry conferences and events.
                    • -
                    -

                    -

                    To qualify for the role, you must have

                    -
                    • A Master degree in AI, Machine Learning, Statistics, Economics/Econometrics, Computer Science, Engineering or equivalent
                    • 5+ years of extensive experience building end to end analytics solutions in the various subspaces of insurance industry with business acumen
                    • Experience in all or some areas of Telematics/NLP/Computer vision/Sentiment Analysis
                    • Proficiency and an in-depth understanding of the Predictive Modeling Lifecycle and best practices for feature engineering, model development and tuning (hyper-parameter, ensemble modeling techniques, deep learning), model validation, model deployment packaging, model management and performance monitoring
                    • Team lead experience managing Junior and Senior Data Scientists
                    • Data Scientist certification, including Hadoop, Spark or equivalent production experience
                    • Experience with Open-source AI / Machine Learning / Data Science tools – R, Python, Spark. Including experience working with Notebooks (Zeppelin, Jupyter) and Data Science Workbenches (Azure, DSX)
                    • Experience with Spark-based machine learning, including Spark SQL, ML, MlLib, GraphX
                    • -
                    -

                    -

                    Ideally, you’ll also have

                    -

                    -

                    Prior experience consulting in the insurance sector on end-to-end data science projects will be an advantage
                    Databrick Data Scientist certificate would be an asset
                    Guidewire/Axis experience
                    Experience with Deep Learning on CPUs and GPUs, including ANN, CNN, RNN frameworks like PyTorch, TensorFlow/Keras, MXNet or equivalent would be an asset.

                    -

                    -

                    What we look for

                    -
                    • Experience in engaging with both technical and non-technical stakeholders
                    • Strong consulting experience and background, including engaging directly with insurance clients
                    • Team management on Advanced Analytics, Business Intelligence, Data Warehousing, Business Intelligence projects
                    • -
                    -

                    -

                    We’re interested in passionate leaders with strong vision and a desire to stay on top of trends in the Data Science and Big Data industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you.

                    -

                    -

                    What we offer

                    -

                    -

                    At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

                    -


                    We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

                    -
                    • Support and coaching from some of the most engaging colleagues in the industry
                    • Learning opportunities to develop new skills and progress your career
                    • The freedom and flexibility to handle your role in a way that’s right for you
                    • -
                    -

                    -

                    Diversity and Inclusion at EY

                    Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. From our actions to combat systemic racism and our advocacy for the LGBT+ community to our innovative Neurodiversity Centre of Excellence and Accessibility initiatives, we welcome and embrace the diverse experiences, abilities, backgrounds and perspectives that make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                    -


                    If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

                    -

                    -

                    The exceptional EY experience. It’s yours to build.

                    -

                    -

                    EY | Building a better working world

                    -
                    -
                    EY | Building a better working world
                    -
                    -
                    EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
                    -
                    -
                    Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
                    -
                    -
                    Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
                    ",,https://careers.ey.com/ey/job/Toronto-Manager-Data-Science-Toronto-ON-M5H-0B3/916601901/,feed-importer@jobboard.io,,,,2023-04-20T20:39:00.000Z,False,0,12,57,https://talenthub.vectorinstitute.ai/jobs/207766209-manager-data-science-toronto-at-ey,https://careers.ey.com/ey/job/Toronto-Manager-Data-Science-Toronto-ON-M5H-0B3/916601901/,expired,2023-03-23T17:37:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Masters Degree,New Posting, -4766744a-c2ef-447f-89db-bdc7383384b0,217075577,Roche,Senior Data Engineer / Tech Lead (AWS),on_site,"Ontario, Canada",2023-04-20T17:42:03.562Z,"
                    -

                    The Position

                    -

                    Location: Mississauga Pharma Campus

                    -

                    -

                    The technical lead is a strategic role focused on helping business stakeholders make technology choices and leads an agile team in delivering value from those choices. The end products are dashboards that are future-ready, scalable & highly configurable data architecture on a cloud to provide quick and efficient access to key data elements for business consumption in driving strategic direction.

                    -

                    Responsibilities:

                    -

                    As a Technical Lead you will:

                    -
                      -
                    • Lead delivery of technical solutions for a portfolio of projects within the team

                    • -
                    • Provide hands-on leadership to our data engineers and software developers to design and develop solutions on AWS cloud

                    • -
                    • Set up a practice of continuous development and deployment

                    • -
                    • Develop technology strategy, architecture, and roadmap for solutions

                    • -
                    • Provide application integration and solution support working collaboratively with business partners to achieve their strategic goals

                    • -
                    • Manage the successful implementation and delivery of solution releases, possibly spanning multiple parallel tracks

                    • -
                    • Collaborates with internal and external teams to leverage cloud platforms

                    • -
                    • Help instill an agile product/DevOps mindset within the delivery teams

                    • -
                    • Track progress, resolve dependencies, evaluate risks and communicate status to management and business stakeholders.

                    • -
                    -

                    -

                    Qualifications:

                    -
                      -
                    • BS in Computer Science or relevant field

                    • -
                    • Minimum 5+ years of experience in developing software solutions and previous experience as Technical Lead

                    • -
                    • Expert level experience with SQL, Python, Spark/Scala

                    • -
                    • Proficient in AWS IAM roles and policies provision/management

                    • -
                    • Experience with multiple AWS services including but not limited to: S3 data lake, My SQL, Aurora, RDS, Redshift, DynamoDB, Kinesis data streams, Kinesis data firehose, SNS, Cloudwatch, Cloudformation, Route53, Cloudfront, Lambda etc

                    • -
                    • Excellent knowledge of data modeling and data structures.

                    • -
                    • Experience developing ETL in AWS glue, Lambda

                    • -
                    • Good experience with multiple data sharing formats including APIs, microservices, file sharing etc.

                    • -
                    • Experience delivering data to visualization tools such as Tableau.

                    • -
                    • Experience operationalizing AWS solutions, Kubernetes, Dockers and containers.

                    • -
                    • Ability to troubleshoot across layers of the technology stack.

                    • -
                    • Strong leadership and communication skills to work with leadership and stakeholders in executing the vision and providing content and best practices on using CI/CD services.

                    • -
                    • Knowledge of Single Sign On (SSO) - SAML and OAuth2.0, reverse proxy, firewall, servers and load balancer technologies including the new server less technology.

                    • -
                    • Experience with ML services like SageMaker, Jupyter notebooks is a huge plus.

                    • -
                    • Familiarity with frontend technologies in serverless environments - Javascript, HTML, CSS, JQuery a huge plus.

                    • -
                    • Familiarity with RShiny is a huge plus.

                    • -
                    • Familiarity / experience with the following technologies and solutions: Mobility, Analytics, digitization, digital health, reporting, visualization tools and presentation along with Machine Learning and AI Concepts.

                    • -
                    -

                    -

                    This role is not eligible for relocation support.

                    -

                    -

                    -

                    Who we are

                    -

                    At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

                    -

                    -

                    Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

                    -

                    -

                    As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

                    -

                    -

                    Roche is an Equal Opportunity Employer.

                    -
                    ",,https://careers.roche.com/global/en/job/ROCHGLOBAL202304109473EXTERNALENGLOBAL/Senior-Data-Engineer-Tech-Lead-AWS,feed-importer@jobboard.io,,,,2023-04-24T17:47:02.991Z,False,0,2,21,https://talenthub.vectorinstitute.ai/jobs/217075577-senior-data-engineer-tech-lead-aws-at-roche,,expired,2023-04-20T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,New Posting, -566d778f-57fb-439e-8e48-638cf726aaba,212880108,Google,"Senior Software Development Manager, Engineering Productivity, Google Cloud Platforms",on_site,"Toronto, ON, Canada",2023-04-06T17:20:05.550Z,"
                    -
                    -2023-03-21T18:01:08.473Z
                    -
                      -
                    • Share
                    • -
                      Save -
                    • -

                    Senior Software Development Manager, Engineering Productivity, Google Cloud Platforms

                      -
                    • Google
                    • -
                    • In-office:
                      - Waterloo, ON, Canada -
                    • -
                    -
                    -

                    Qualifications

                    -

                    Minimum qualifications:

                    + +

                    +

                    Nice to have

                      -
                    • Bachelor\'s degree or equivalent practical experience.
                    • -
                    • 5 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
                      -
                    • -
                    • 5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role.
                      -
                    • -
                    • 5 years of experience building tools that improve development velocity, code quality, and/or code health.
                      -
                    • +
                    • Experience developing interactive and sophisticated dashboards in Tableau (or similar tool)
                    • +
                    • Experience working with Dataiku
                    • +
                    • Understanding of software engineering design principles
                    • +
                    • Demonstrated experience building strong relationships and communicating effectively with both technical and non-technical stakeholders
                    • +
                    • Strong
                    -

                    Preferred qualifications:

                    +

                    +

                    What’s in it for you?

                    +

                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                      -
                    • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
                    • -
                    • 5 years of experience working in a complex, matrixed organization.
                      -
                    • +
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation
                    • +
                    • Leaders who support your development through coaching and managing opportunities
                    • +
                    • Work in a dynamic, collaborative, progressive, and high-performing team
                    • +
                    • Opportunities to do challenging work
                    • +
                    • Flexible work/life balance options
                    -
                    -
                    -
                    -

                    About the job

                    -

                    Google\'s software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We\'re looking for software developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

                    With your extensive technical expertise you take initiative to independently design and implement new systems, designing, implementing, and testing multiple features with little or no direction from tech lead or manager. You collaborate with key stakeholders to determine future direction of work.

                    -

                    Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

                    -
                    -
                    -
                    -

                    Responsibilities

                      -
                    • Set and communicate team priorities that support the broader organization\'s goals. Align strategy, processes, and decision-making across teams.
                      -
                    • -
                    • Set clear expectations with individuals based on their level and role and aligned to the broader organization\'s goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
                      -
                    • -
                    • Develop the long-term technical vision and roadmap within, and often beyond, the scope of your teams. Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
                      -
                    • -
                    • Oversee systems designs within the scope of the broader area, and review product or system development code to solve ambiguous problems.
                      -
                    • -
                    • Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
                      -
                    • -
                    -
                    -

                    Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                    Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and Know your rights: workplace discrimination is illegal. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                    To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                    To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                    At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                    We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                    Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                    -
                    -
                    -
                    ",,"https://careers.google.com/jobs/results/138727105077617350-senior-software-development-manager-engineering-productivity-google-cloud-platforms/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-04-24T17:25:03.109Z,False,0,3,13,https://talenthub.vectorinstitute.ai/jobs/212880108-senior-software-development-manager-engineering-productivity-google-cloud-platforms-at-google,,expired,2023-04-06T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Mid-Senior Level,Bachelors Degree,New Posting, -2d75454e-fa90-4e3a-af47-ab4f4f2ee499,213973189,TD Bank Group,Data Scientist,on_site,"Toronto, ON",2023-04-10T17:24:02.184Z,"
                    +

                    +

                    +

                    Job Summary

                    +

                    Address:

                    TORONTO, Ontario, Canada

                    City:

                    CAN-ON-TORONTO

                    Country:

                    Canada

                    Work hours/week:

                    37.5

                    Employment Type:

                    Full time

                    Platform:

                    Internal Audit

                    Job Type:

                    Regular

                    Pay Type:

                    Salaried

                    Posted Date:

                    2023-03-16

                    Application Deadline:

                    2023-04-12
                    +

                    Inclusion and Equal Opportunity Employment

                    +

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    +
                    +

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                    +
                    ",,https://jobs.rbc.com/ca/en/job/R-0000052748/Senior-Analytics-Manager,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-04-06T21:04:00.000Z,False,0,3,9,https://talenthub.vectorinstitute.ai/jobs/210219313-senior-analytics-manager-at-rbc,,expired,2023-03-30T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +547d8e37-55d3-471a-881c-e4204679a9ca,203172629,TD Bank Group,"Finance, Treasury & Enterprise Strategy Indigenous Intern/Co-op",on_site,"Toronto, ON",2023-03-09T17:24:03.380Z,"

                    Company Overview

                    -

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    -

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    +

                    All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                    +

                    Why TD?

                    +

                    TD’s Colleague Promise: A better you. A better us.

                    +

                    A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                    Department Overview

                    -

                    What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                    -

                    As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                    -

                    TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                    +

                    TD Finance, Treasury, and Enterprise Strategy are integral and trusted partners to businesses across the Bank, made-up of diverse teams with a range of strengths and capabilities contributing to TD’s overall success.

                    +

                    The Finance, Treasury, and Enterprise Strategy Indigenous Internship Program is intended to recognize outstanding Canadian post-secondary students (both academically and with respect to extra-curricular and / or community service), who identify as an Indigenous person (First Nations, Métis, and Inuit communities) with varying roles available.

                    +

                    This co-op/ intern role will include an opportunity to work in-person, virtually or hybrid, in one of the following areas:

                    +
                      +
                    • Finance
                    • +
                    • Economics
                    • +
                    • Tax
                    • +
                    • Investor Relations
                    • +
                    • Audit
                    • +
                    • Enterprise Strategy
                    • +
                    • Sustainability and Corporate Citizenship
                    • +
                    • Enterprise Real Estate
                    • +
                    • Treasury & Balance Sheet Management
                    • +
                    • Strategic Sourcing
                    • +
                    +

                    Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                    +

                    Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                    +
                      +
                    • Leadership talks with key Leaders from across the organization
                    • +
                    • Lunch and Learns on topics such as Innovation
                    • +
                    • Diversity and Inclusion and Personal Branding and so much more
                    • +

                    Job Description

                    -

                    Delivery

                    -
                      -
                    • Broad technical skills in all facets of data science: advanced analytics, statistical modelling, machine learning & data engineering
                    • -
                    • Build complex statistical models that learn from and scale to petabytes of data.
                    • -
                    • Parse vast data, identify needs and analytics trends, employs industry leading techniques and theories to improve business practices across the enterprise
                    • -
                    • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core deliverables
                    • -
                    • Accountable to lead & deliver complex, Agile, cross-functional projects that range widely in design, size, scale, scope and techniques
                    • -
                    • Self-directed with the ability to progress strategic opportunities in down times and effectively prioritize in busy times
                    • -
                    -

                    Expertise & Leadership

                    +

                    This opportunity will help to provide a range of experiences to help build broad business and Finance competencies. This role will not only provide you introductory experience in a professional setting, it will also equip you with skills and experiences that contribute to the completion of your studies and prepare you to build a career in your chosen discipline.

                    Accountabilities may include the following:

                      -
                    • Analytical thought leadership and stay current on developments in data mining and the application of data science
                    • -
                    • Serve as an authority on a given business domain and provide business expertise to place context around analytics discovery
                    • -
                    • A champion in the D&A community for TD’s platforms and strategies, scanning for cutting edge solutions, and proactively identifying opportunities to advance tools, techniques and approaches
                    • -
                    • Communication and Stakeholder Management
                    • -
                    • Work closely with stakeholders to identify opportunities, implement solutions, and serve as an ambassador for data science across the enterprise
                    • -
                    • Advanced communication, business acumen and stakeholder management competencies
                    • -
                    • Collaborate with support functions such as risk, technology, model validation, OCDO etc. to increase the velocity of data science by enhancing policies, protocols & procedures within TD’s risk appetite
                    • -
                    • Exceptional collaborator in a high-interaction environment
                    • -
                    • Foresee needs from business partners to prescribe effective solutions
                    • -
                    • Leverage empirical evidence and facts to influence/support decision making
                    • -
                    • Collaborate with business partners to inform analytics output, support strategic planning, and prioritize key initiatives
                    • -
                    • Take ownership of team targets and strategies such as value generation and contribute to the overall management and culture of the team
                    • +
                    • Use your strong communication, analytical and problem-solving skills to add value
                    • +
                    • Prepare ad hoc analyses, forecasts, and business cases in support of business initiatives and in-depth research projects
                    • +
                    • Assist with business planning, fieldwork, documentation, and reporting tasks
                    • +
                    • Define opportunities for continued enhancements to business processes and make recommendations for process improvements
                    • +
                    • Participate in transformation and innovation activities to ensure TD businesses effectively and efficiently leverage data and technology to drive better sustainable business value
                    • +
                    • Build a diverse skill set, implement process improvements, and develop the confidence to tackle challenging tasks

                    Requirements

                    -What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    +Applicants must meet the following requirements:

                      -
                    • Ability to translate business requirements into technical and analytical tasks
                    • -
                    • Demonstrated track record of leading major data science projects [or demonstrate ability]
                    • -
                    • Technical understanding and critical thinking to challenge status quo
                    • -
                    • Strong problem-solving skills, mathematical and data literacy
                    • -
                    • Flexibility to adapt and run with contending priorities and the ability to shift focus as dynamic business needs evolve
                    • -
                    • Strong interpersonal and communication skills, both written and verbal ability to tell a compelling story which can be consumed by business partners/executives
                    • -
                    • Demonstrated experience in data transformation and data manipulation.
                    • -
                    • Aspirations to build in-depth industry and retail banking knowledge including current trends in data, analytics and technology
                    • -
                    • Master’s degree or PhD in relevant fields; Mathematics, Physics, Biotech, Computer Engineering, Electrical Engineering, Geomatics
                    • -
                    • Expert proficiency with industry data tools; python/Ruby, R, SQL and Scala, cloud architecture
                    • -
                    • Strong understanding of data manipulation and visualization techniques, with preference to Esri – ArcGIS, Alteryx, SQL and Excel
                    • -
                    • Experience with big data tools, such as SCALA, SPARK, HADOOP, HDFS, HIVE, etc.
                    • -
                    • Experience with machine learning including supervised and unsupervised models.
                    • +
                    • Identify as an Indigenous person (First Nations, Métis, and Inuit communities)
                    • +
                    • Be enrolled in a relevant post-secondary program, focused on Finance, Accounting, Data & Analytics, from Arts/Humanities or a related business field
                    • +
                    • Be a Canadian citizen, permanent resident of Canada, or legally eligible to work in Canada
                    • +
                    • Adept at using productivity tools and end-user software (such as MS Office suite). Experience with more complex analytics tools would be an asset
                    • +
                    • Record of academic achievement, and demonstrated leadership with community involvement
                    • +
                    • Ability to quickly learn and apply new concepts
                    • +
                    • Ability to take initiative and balance multiple tasks. Ability to thrive in a fast-paced, changing environment.
                    • +
                    • Demonstrated strong judgement, decision-making and analytical capabilities
                    • +
                    • Strong verbal and written communication skills and ability to engage colleagues, business partners and stakeholders
                    +

                    Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting.

                    Additional Information

                    -#datascientist #LI-Hybrid

                    -

                    Locations:
                    Toronto
                    Montreal
                    Markham
                    London
                    Ottawa

                    -

                    * L7- L10

                    +

                    At TD, we recognize there is more work to be done on our collective journey towards Truth and Reconciliation. That’s why, we’re applying our business, people and philanthropy to help create a more inclusive and sustainable tomorrow for Indigenous Peoples across Canada. We believe this is a key step forward on our journey towards Truth and Reconciliation.

                    +

                    We’re committed to the ongoing development and growth of colleagues, so that they can unlock their full potential and achieve their career goals. We treat colleagues with the same care, warmth and respect that we show our customers, and we know that caring colleagues and supportive leaders are what makes TD unique. To learn more, visit Indigenous talent at TD.

                    +

                    We work to attract and develop next generation of professionals by offering paid internships, rotational programs, and management associate programs.

                    +
                      +
                    • As part of TD’s commitment to attract talent from Indigenous Communities, we invite all applicants from First Nations, Métis, and Inuit communities to apply for this role. Qualified applicants applying through this posting will be considered for open job vacancies, where they exist, or added to our Diversity Talent Network for other upcoming opportunities.
                    • +
                    • We also have a wide variety of roles available at TD and we encourage all candidates from First Nations, Métis, and Inuit communities to apply. https://jobs.td.com/en-CA/
                    • +
                    +

                    Application Requirements

                    +
                      +
                    • Applications must include a cover letter (one letter-sized page or less), a resume (maximum of 2 pages).
                    • +
                    • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                    • +
                    • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                    • +

                    -

                    Hours

                    -
                    37.5
                    +

                    Start Date

                    +
                    – Fall

                    Inclusiveness

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -
                    ",,https://jobs.td.com/en-CA/jobs/15700638/data-scientist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-24T17:29:01.757Z,False,0,25,70,https://talenthub.vectorinstitute.ai/jobs/213973189-data-scientist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15700638/data-scientist-toronto-ca/,expired,2023-04-10T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -f0775e90-5b37-48b8-8b08-77cf898f8d24,214825358,TD Bank Group,Machine Learning Engineer (Layer 6),on_site,"Toronto, ON",2023-04-13T17:24:04.870Z,"
                    -

                    Company Overview

                    -
                    -

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    -

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    -
                    +
                    ",,https://jobs.td.com/en-CA/jobs/17932749/finance-treasury-enterprise-strategy-indigenous-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-08T20:26:33.582Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/203172629-finance-treasury-enterprise-strategy-indigenous-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17932749/finance-treasury-enterprise-strategy-indigenous-intern-co-op-toronto-ca/,expired,2023-03-09T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +76ee671f-1607-4374-9019-8a6af3544c25,203440754,BMO Financial Group,"Head, BMO Commercial Data Sciences",on_site,"Ontario, Canada",2023-03-10T17:12:02.338Z,"
                    +

                    Address:

                    100 King Street West

                    +

                    +

                    Job Family Group:

                    Data Analytics & Reporting

                    +

                    +

                    +

                    +

                    The BMO Commercial Data & Analytics team is growing to meet the needs of the BMO Commercial business. BMO Commercial is a top 5 North American Commercial Bank and seeks to enhance all aspects of its businesses by leveraging vast amounts of data via analytical approaches. The aim of the team is to grow the business, minimize costs, reduce losses and foster data-backed decision making locally at the client level and in aggregate at every business level. This is an exciting time to be with BMO Commercial Data & Analytics, with several in-flight initiatives, and business partners that are engaged to drive value for our business.

                    +


                    The head of BMO Commercial, Data Sciences will apply knowledge of advanced analytic algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence, data models) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. The Head will also apply strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insights in a way that resonates with business/groups. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

                    -

                    Department Overview

                    -
                    -

                    Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform.

                    -

                    Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 – Visual Relationship (winner in 2019).

                    -
                    +

                    The role will support the overall BMO Commercial Data & Analytics practice, including making recommendations that broadly support a best-in-class Data & Analytics function. A deep, integrated understanding of Commercial Banking is required to effectively support our Commercial growth ambitions.

                    +

                    +

                    Responsibilities:

                    -

                    Job Description

                    -
                    -

                    Develops and maintains technical solutions that adhere to engineering and architectural design principles while meeting business requirements. Provides technical expertise with a focus on efficiency, reliability, scalability, and security; includes planning, evaluating, recommending, designing, operationalizing, and supporting solutions in compliance with enterprise and industry standards.

                    -

                    Customer Accountabilities:

                      -
                    • Leverage deep technology expertise for own area of specialization to deliver and ensure that all areas across the organization that provision, manage and support various technologies have the necessary tools, processes and documentation required to effectively execute on their respective mandates
                    • -
                    • Execute on Engineering strategy as it relates to the introduction of tools and the automation of build, test, release and configure activities across Application, Platform and Infrastructure
                    • -
                    • Partner with the Operations team to automatically integrate with appropriate tools and processes as part of automated/self-serve Application, Platform or Infrastructure releases
                    • -
                    • Work with partners across Technology and apply in-depth understanding of relevant business needs to identify and leverage synergies across the various areas
                    • -
                    • Act as the expert or lead innovator and agent of change for the programs and services under management
                    • -
                    • Work with other teams to implement best practices for engineering and management
                    • -
                    • Work with vendor platform providers and engineering peers to keep abreast of trends, products, frameworks, and applications
                    • -
                    • Identify and effectively manage stakeholder engagement and impacts across the enterprise
                    • -
                    • Interpret client needs, assess engineering related requirements and identify solutions to non-standard requests
                    • +
                    • Acts as a trusted advisor to senior leaders for making business decisions and implementing strategic initiatives.
                    • +
                    • Provides thought leadership and strategic advice to businesses through “art of the possible” conversations and demonstrating value though “Proof of Values”.
                    • +
                    • Networks with industry contacts to gather competitive insights and best practices.
                    • +
                    • Recommends business priorities, advises on resource requirements and develops roadmap for strategic execution.
                    • +
                    • Makes strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.
                    • +
                    • Structures loosely defined and complex business problems; determines new experimentation methods and statistical techniques to design solutions.
                    • +
                    • Acts as the prime contact for internal/external stakeholder relationships, which may include regulators.
                    • +
                    • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                    -

                    Shareholder Accountabilities:

                      -
                    • Apply best practices and knowledge of internal / external business issues to improve products or services in own discipline
                    • -
                    • Monitor and control costs within own work
                    • -
                    • May interact with governance and control groups, (e.g. regulatory / operational risk, compliance and audit) to provide subject matter expertise and consult on risk issues / items related to Engineering technology and tools
                    • -
                    • May develop and/or contribute to negotiations of third party contracts/agreements
                    • -
                    • Maintain knowledge and understanding of external development, engineering and emerging solutions, market conditions and their impact
                    • -
                    • Proactively identify emerging technologies and innovative solutions for building more robust platform domains
                    • -
                    • The Machine Learning Product Engineer team at Layer 6 focuses on building industry-leading data-centric systems and model delivery systems. Our solutions include data pipelines, feature data lake, systemic data validation and automation of key activities in model delivery including model validation, shakedown, inference, and maintenance.
                    • -
                    • We are looking for experienced Machine Learning Product Engineers (MLPE) who have worked under tight deadlines and on challenging tasks. The ideal candidate is a strong coder with solid data engineering experience. They should also have expertise in machine learning, system design and devops.
                    • -
                    • The candidate will design and implement components of data and model delivery system and lead by example. The candidate will interact with machine learning scientists, the infrastructure team and data sources team to develop systems that will satisfy the needs of machine learning projects.
                    • -
                    • Implement complex data-centric solutions, including extremely complex and large data set verification, transformation and feature generation, to ensure continuous high-quality input for the model development
                    • -
                    • Build model delivery systems, including inference pipeline, automatic model validation reports generation, automatic model performance monitoring and model retraining, to ensure fast model productionization and reliable production system
                    • -
                    • Maintain the model in production and ensure the data/model related knowledge continuation within Layer 6
                    • +
                    • Leads discovery process with stakeholders to identify business requirements and expected outcome and to select relevant sources of data/information.
                    • +
                    • Develops an expert understanding of business/group challenges.
                    • +
                    • Develops the business case by identifying needs, analysing potential options and assessing expected return on investment.
                    • +
                    • Drives analytics innovation; poses open-ended questions, explores new ideas, and chooses appropriate techniques for solving business problems.
                    • +
                    • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
                    • +
                    • Defines business requirements for analytics & reporting to ensure data insights inform business decision making.
                    • +
                    • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • +
                    • Identifies/creates the appropriate algorithm to discover patterns.
                    • +
                    • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, refine hypotheses.
                    • +
                    • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                    • +
                    • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                    • +
                    • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                    • +
                    • Fosters strong internal and external networks and works with and across multiple teams to achieve business objectives.
                    • +
                    +
                      +
                    • Manages resources and leads the execution of strategic initiatives to deliver on business and financial goals.
                    • +
                    • Diagnoses and resolves predictive / analytical model performance issues while monitoring system performance and implementation of efficiency improvements.
                    • +
                    • Leads change management programs of varying scope and type, including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
                    • +
                    • Collaborates across BMO to develop communications strategies and ensure consistency of messaging, in order to positively influence or change behaviour.
                    • +
                    • Sets up change control and testing processes to ensure the quality and consistency of ongoing maintenance work.
                    • +
                    • Leads and designs and implements policies and procedures around new data sets to ensure data quality, consistency, repeatability, and accuracy of insights.
                    • +
                    • Supports development of tools and delivers training for data analytics and AI.
                    • +
                    +
                      +
                    • Recommends measures to improve organizational effectiveness.
                    • +
                    • Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
                    • +
                    • Ensures alignment between values and behaviour that fosters diversity and inclusion.
                    • +
                    • Regularly connects work to BMO\'s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.
                    • +
                    • Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders.
                    • +
                    • Improves team performance, recognizes and rewards performance, coaches employees, supports their development, and manages poor performance.
                    • +
                    • Broader work or accountabilities may be assigned as needed.
                    -

                    -

                    Requirements

                    -
                    -

                    Required Technical Skills

                    +

                    Qualifications:

                      -
                    • BSc+ in Computer Science, Math, Physics, or similar
                    • -
                    • 2+ years of extensive programming experience, at least 1 year in building production data systems
                    • -
                    • 1+ year experience of building machine learning production system
                    • -
                    • Strong experience with major Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Spark, Cassandra, Kafka, Elasticsearch
                    • -
                    • Good knowledge of Machine Learning and Deep Learning
                    • -
                    • Practical expertise in performance tuning, bottleneck problems analysis, and troubleshooting
                    • -
                    • Strong experience with Scala and Java 8
                    • +
                    • Typically 9+ years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience.
                    • +
                    • Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience.
                    • +
                    • Experience with distributed computing language (e.g. Hive / Hadoop/ Spark) & cloud technologies (e.g. AWS Sagemaker, AzureML).
                    • +
                    • Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, , Perl) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
                    • +
                    • Seasoned expert with extensive industry knowledge.
                    • +
                    • Technical leader viewed as a thought leader for innovation.
                    • +
                    • Verbal & written communication skills - Expert.
                    • +
                    • Analytical and problem solving skills - Expert.
                    • +
                    • Influence skills - Expert.
                    • +
                    • Collaboration & team skills; with a focus on cross-group collaboration - Expert.
                    • +
                    • Able to manage ambiguity.
                    -

                    Nice to have Skills

                    +

                    +

                    +

                    We’re here to help

                    +

                    +

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    +

                    +

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    +

                    +

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    +

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    +

                    +

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Head--BMO-Commercial-Data-Sciences_R230002213?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-04-09T20:21:39.539Z,False,0,3,15,https://talenthub.vectorinstitute.ai/jobs/203440754-head-bmo-commercial-data-sciences-at-bmo-financial-group,,expired,2023-03-10T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +e706e543-f2e5-4fff-8a43-f3d142b5eb9a,219828568,Scotiabank,"Senior Manager, Analytics & Insights",on_site,Canada : Ontario : Toronto,2023-04-28T17:22:02.775Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 176834

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    Purpose
                    Leads and supports Global Fraud Authentication for all business lines, channels, and products in all markets/countries in which the Bank operates ensuring business strategies, plans and initiatives are executed / delivered in compliance with governing regulations, internal policies and procedures. This role will assist in the establishment of the Global Authentication function for the Bank to prevent Fraud attacks and minimize downstream impacts to customers, operational teams, and the Bank’s bottom line through the implementation of a Global Fraud Authentication Monitoring process. Leads and supports implementation of analytics and reporting to generate insights for Global Fraud Authentication strategies.

                    +


                    Accountabilities

                    +

                    • Leads and supports a customer focused culture throughout their team to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

                    +

                    • Responsible and supports the design, and development of the Bank’s Global Fraud Authentication Monitoring process. This includes development of the strategy to onboard all existing and new data feeds to the dashboard, and creation of a framework to monitor for data feed integrity and quality. This tool will monitor authentication flows globally, while overlaying fraud rates, customer information, and critical investigative data elements. This requires close working relationships with partner teams globally (technical and SME) and leveraging specialized cyber fraud and data/analytics experience to stand-up and manage a top tier control room function to monitor for authentication anomalies across the Bank’s global perimeter.

                    +

                    • Responsible for implementing all analytics and reporting related requirements including technical/functional knowledge of BI tools, enterprise customer data and other data assets. Represents Global Fraud Authentication as a data analytics subject matter expert in Partner and vendor engagements and leads the design and implementation of business intelligence assets for GFA that are aligned to the bank’s strategy.

                    +

                    • Creates reporting, dashboards and trending analysis across Global Fraud Authentication including KPIs and indicators to provide data driven insights and value added analysis to inform strategic decision making including projections and forecasts utilizing statistical modelling and works closely with internal and external Partners to understand and align on business requirements and contribute to the connection of end to end Customer Journey data.

                    +

                    • Supports and contributes to the development of Executive reporting and presentations, as well as a Partner Website and for establishing a roadmap to scale these to provide comprehensive information about authentication, products, all-Bank strategy and status of critical enterprise projects, as well as for supporting the intake process for authentication strategy/solution related requests (many of these are audit and/or regulatory related). These requests require consultation across multiple technical teams/tech partners; various second line teams and multiple operational teams globally. There will be a heavy focus on the cards and payments space and authentication capabilities and structures needed to support step-up authentication to meet industry requirements and timelines, while ensuring compliance with the Bank’s policies and procedures.

                    +

                    • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

                    +

                    • Creates an environment in which their team pursues effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.

                    +

                    • Builds a high performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment and using a coaching mindset and behaviours; communicating vison/values/business strategy; and, managing succession and development planning for the team.

                    +

                    Education / Experience / Other Information
                    • 3+ years working experience in data analysis, data management and reporting is required
                    • University education in Business, Computer Sciences, Electrical/Computer/Software Engineering, Mathematics or equivalent experience
                    • Proven experience cleaning, transforming and visualizing large data sets working with various data formats (e.g. Enterprise Data Warehouse, Unstructured logs, XML, JSON, flat files, SAS, CSV)
                    • Solid knowledge of Data Analysis or manipulation tools for working with data (e.g. SQL, DB2, MySQL, Python, R)
                    • Expert knowledge using and implementing visualization tools like PowerBI, Tableau or Qlikview
                    • Experience with Big Data ecosystem tools (e.g. Hive, Spark, Google Cloud Platform)
                    • Strong knowledge of and ability to Analyze data volumes, data types and content to support the design of data architecture solutions and ability to define and document data lineage, transformation rules, definitions and ownership of data attributes.
                    • Excellent analytical skills. Must be able to interpret and consolidate large amounts of information in actionable recommendations. Uses sound judgment in the creation of analysis, validation, interpretation and presentation of findings.
                    • Strong presentation and communication skills (oral and written)
                    • Spanish Fluency is preferred
                    • Strong knowledge of Fraud and Authentication is preferred
                    • Knowledge and/or experience with Cyber Security is an asset
                    • Experience in a global Financial Institution or large scale global organization working with retail customer level data is an asset
                    • Working knowledge of the Bank’s products (including payments and cards), risk areas, and protect functions, as well as a basic understanding of Finance
                    • Expert knowledge of MS applications (Work, Excel, Project, PowerPoint & PowerBi)

                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Analytics-&-Insights-ON-M5H1H1/569636817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-08T20:35:00.000Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/219828568-senior-manager-analytics-insights-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Analytics-&-Insights-ON-M5H1H1/569636817/,expired,2023-04-28T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +50cdb41d-e6a0-43a7-a93e-0b9c4f2009ed,222298481,OMERS,"Business Analyst, Trading Platform",on_site,"Ontario, Canada",2023-05-04T17:42:02.812Z,"
                    .

                    +

                    +

                    Vision and Core Values
                    OMERS overall vision is to play a leadership role in the pension industry and be first of class, deliver superior services and to grow and attract investment partners. The core values are to be fair, have high integrity, respect for each other, provide superior service and work as a team.

                    The Corporate Objectives for OMERS is to provide secure pensions for all their constituents by

                      -
                    • C++, Python experience
                    • -
                    • Experience in systems/infrastructure projects on AWS and Azure
                    • +
                    • Investing to earn outstanding returns with due regard for risk

                    • +
                    • Partnering with like-minded investment managers

                    • +
                    • Providing high quality service to our members and employers

                    • +
                    • Delivering value for money

                    • +
                    • Building a culture of excellence and pride in OMERS

                    -
                    +

                    OMERS Operating Principles are Financial Strength, Accountability, Member Focus, Talent and Reporting.

                    -

                    Additional Information

                    -
                    #LI-Hybrid
                    +

                    Value Proposition

                    +

                    This is an opportunity to join a fast-paced team, working to support our partners within OMERS Capital Markets, Total Portfolio Management, and Corporate Finance, while performing functions to deliver on our pension promise. The team supports investment professionals on a day-to-day basis, as well ongoing projects to delivery new capabilities, refine workflows, and align to the strategic roadmap. The incumbent will be responsible for providing business systems analysis, development & maintenance support for investment applications. The incumbent will function in a team-oriented context with opportunities for interacting directly with investment business partners.

                    +

                    Scope of Position

                    +

                    Reporting to the Manager, Trading Platform, Capital Markets Finance, the Business Analyst role responsibilities include defining business specifications for new solutions & integrations, developing test plans, upgrading applications, developing reporting and troubleshooting data issues. The role requires an excellent understanding of investment business processes and experience maintaining & supporting investment applications combined with excellent analytical project work skills, including requirements analysis and documentation, root cause analysis of production issues, testing of application or integration changes, and implementation change management. The position requires strong analytical skills coupled with investment operations knowledge (both Front, Middle & Back Office) and systems implementation and application maintenance experience. It requires strong interpersonal, organizational and project management skills combined with the ability to readily adapt to rapidly changing investment and technology environments.

                    -

                    Hours

                    -
                    37.5
                    +

                    Responsibilities

                    +
                      +
                    • Acquires detailed knowledge of the business uses of the applications and services (in both Investment Front Office and Investment Operations context) currently implemented in support of our partners and provides proactive application support to individual users to assist in meeting business program objectives.

                    • +
                    • Provides business system analysis support in approved projects with respect to the identification of automation opportunities, assistance in workflow design development, and software evaluations.

                    • +
                    • Assumes responsibilities in project activities including the definition of business requirements, design and implementation of system interfaces, testing, documentation, upgrades of investment applications, data conversions and reconciliations.

                    • +
                    • Provides support to users in the development of new reports and in the resolution of reporting and other data issues.

                    • +
                    • Provides problem solving, troubleshooting of issues, and consulting support for newly implemented investment system functions.

                    • +
                    • Assumes responsibilities in developing test cases, implementation plans, defining workflow solutions, controls, standards, and naming conventions within applications.

                    • +
                    • Develops user manuals, application documentation and application training programs.

                    • +
                    • Develops effective working relationships with investment management and operations groups, custodian, auditors, systems vendors, and others in the industry.

                    • +
                    • Works cross-functionally with other analysts within the group/floor, IT Infrastructure, and Vendors as appropriate to facilitate the roll-out and ongoing support of major application additions, enhancements, workflows, and upgrades for our partners.

                    • +

                    -

                    Inclusiveness

                    -
                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.
                    +

                    Qualifications

                    +
                      +
                    • University degree in Computer Science & Mathematics, Commerce & Finance, Engineering, or equivalent industry-related business experience; completion of Canadian Securities Course an asset.

                    • +
                    • A minimum of 2 - 3 years experience as a Business/Systems Analyst with exposure in relevant investment systems implementation activities. Investment applications including trading, portfolio management & analytics tools on various platforms with emphasis on SQL Server based products.

                    • +
                    • Demonstrated project skills and experience in all phases of solution development life cycle.

                    • +
                    • Experience in defining, implementing, and supporting investment business solutions.

                    • +
                    • Experience in investment business operations with thorough understanding of trading and portfolio accounting.

                    • +
                    • Experience with developing integration between investment applications and development of data feed interfaces is beneficial.

                    • +
                    • Experience in Front Office Trading Applications, as well as middle/back office applications (including but not limited to Charles River IMS, Omgeo, Bloomberg, Calypso) is beneficial.

                    • +
                    • Experience with SSRS and ODBC report writers is beneficial. Experience with SQL queries and Power BI.

                    • +
                    • Working knowledge of MS Office including Excel spreadsheets, with intermediate skills in Macros, pivots, real time links/queries.

                    • +
                    • Excellent interpersonal skills to foster effective team dynamics.

                    • +
                    • Strong analytical and problem-solving skills to facilitate the implementation of application systems to meet business objectives.

                    • +
                    • Ability to multi-task effectively in fast-paced, multiple project environments.

                    • +
                    • Knowledge of the investment lifecycle and data domains for exchange traded and OTC products, including exotic instruments.

                    • +

                    -
                    ",,https://jobs.td.com/en-CA/jobs/17612503/machine-learning-engineer-layer-6-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-24T17:29:01.757Z,False,0,15,67,https://talenthub.vectorinstitute.ai/jobs/214825358-machine-learning-engineer-layer-6-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17612503/machine-learning-engineer-layer-6-toronto-ca/,expired,2023-04-13T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -6c26be4f-663b-46b2-abb4-b57e91340f74,214825115,Google,"Senior Staff Software Developer, Cloud Software Development Kit",on_site,"Toronto, ON, Canada",2023-04-13T17:20:02.770Z,"
                    -
                    -2023-04-10T16:01:06.974Z
                    -
                      -
                    • Share
                    • -
                      Save -
                    • -

                    Senior Staff Software Developer, Cloud Software Development Kit

                      -
                    • Google
                    • -
                    • In-office:
                      - Kirkland, WA, USA -
                    • -
                    • + 4 more locations
                    • -
                    • Remote eligible
                    • -
                    • -
                    • -
                    -
                    -
                    -

                    Note: Google’s hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following:

                    In-office locations: Kirkland, WA, USA; New York, NY, USA; Seattle, WA, USA; Sunnyvale, CA, USA; Waterloo, ON, Canada.
                    Remote location(s): Canada; United States.

                    -
                    -

                    Qualifications

                    -

                    Minimum qualifications:

                    +

                    And you demonstrate

                      -
                    • Bachelor\'s degree or equivalent practical experience.
                      -
                    • -
                    • 8 years of experience in software development, and with data structures/algorithms.
                      -
                    • -
                    • 7 years of experience with full stack development, across back-end such as Java, Python, GO, or C++ codebases.
                      -
                    • -
                    • 5 years of experience with design and architecture, and testing/launching software products.
                      -
                    • +
                    • High standards of business and ethical values including the ability to deal with confidential information

                    • +
                    • A people-first focus with a desire to develop meaningful, positive relationships across all levels of the organization

                    • +
                    • A teammate mentality coupled with servant leadership

                    • +
                    • A sense of urgency, optimism, and a desire to deliver excellence

                    • +
                    • An uncompromising focus on outcomes

                    • +
                    • A desire to drive debate, to speak candidly and to listen empathetically; and

                    • +
                    • Strong orientation towards strategy, change and results

                    • +
                    • A continuous improvement mindset

                    • +
                    • A passion for delivering “beautiful work”

                    -

                    Preferred qualifications:

                    +

                    +
                    +

                    +

                    #LI-Hybrid

                    +

                    +
                    +

                    +

                    +

                    +

                    +

                    Our story:

                    +

                    Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                    +

                    +

                    OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                    +
                    ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Business-Analyst--Trading-Platform_JR-4769?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-05-08T20:39:00.000Z,False,0,6,26,https://talenthub.vectorinstitute.ai/jobs/222298481-business-analyst-trading-platform-at-omers,,expired,2023-05-04T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +eec1f277-4ce6-4f7f-ba81-4b5d697e3985,235578624,Google,"Student Researcher, BS, 2023",on_site,"Toronto, ON, Canada",2023-06-12T15:51:02.554Z,"

                    Minimum qualifications:

                      -
                    • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
                      -
                    • -
                    • 5 years of experience in a technical leadership role leading Project teams and setting technical direction.
                      -
                    • -
                    • 5 years of experience with Command Line Interface and software development kit, building Application Programming Interface for a cloud platform or other web service.
                      +
                    • Currently enrolled in a Bachelor's degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences.
                    • -
                    • 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.
                      +
                    • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, etc.).
                    -
                    -
                    -
                    -

                    About the job

                    -

                    Google Cloud\'s software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We\'re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud\'s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

                    -

                    In this role, you will work with experts and users across many different programming languages and environments to support Google Cloud APIs. You will collaborate with teams across Google Cloud using tools to build client libraries.

                    -

                    Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

                    -

                    For United States applicants: The US base salary range for this full-time position is $231,000-$339,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

                    Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

                    -
                    -
                    -
                    -

                    Responsibilities

                      -
                    • Lead across the developer products to align the developer surface with new platform capabilities and define API development standards for Google Cloud.
                    • -
                    • Work with partner teams across Google Cloud to support the developer surface for their APIs in Google Cloud and the client libraries.
                      -
                    • -
                    • Work with SDK client library teams across Google Cloud to build the technical foundation in the Software Development Kit (SDK) to support their specific use cases.
                      +

                      Preferred qualifications:

                      +
                        +
                      • Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
                      • +
                      • Currently attending a degree program in Canada.
                      • +
                      • Experience as a researcher, including internships, full-time, or at a lab.
                      • +
                      • Experience contributing to research communities or efforts, including publishing papers in conferences or journals.
                      • -
                      • Interface with Product Managers and User Experience teams to build and enforce SDK and Command Line Interface (CLI) design guidelines to produce high quality developer surfaces.
                        +
                      • Experience with one or more general purpose programming languages (e.g., C/C++, Java, MATLAB, Go, Python, etc.).
                      • -
                    -
                    -

                    Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                    Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and Know your rights: workplace discrimination is illegal. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                    To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                    To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                    At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                    We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                    Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                    -
                    -
                    -
                    ",,"https://careers.google.com/jobs/results/136170498682692294-senior-staff-software-developer-cloud-software-development-kit/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-04-24T17:25:03.109Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/214825115-senior-staff-software-developer-cloud-software-development-kit-at-google,,expired,2023-04-13T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, -6425cde4-3711-40b3-9329-6b7f235c05b9,208969300,Borealis AI,Senior Machine Learning Research Team Lead,on_site,"Ontario, Canada",2023-03-26T17:27:03.088Z,"
                    -

                    What\'s the opportunity?

                    -

                    Borealis AI is looking for a Senior Research Team Lead. The role includes managing a team of research team leads, researchers, and research engineers with the goal of delivering AI-based products for the financial services industry. In addition, you will lead initiatives that improve the effectiveness of the research organization.

                    -

                    Your responsibilities include:

                    -
                      -
                    • To lead a team of machine learning researchers delivering cutting edge AI technology to support AI-based products.
                    • -
                    • To partner with Borealis AI’s product and engineering teams to ensure the seamless delivery of these products.
                    • -
                    • To manage other research team leads and provide guidance and support.
                    • -
                    • To lead initiatives that improve the overall performance of the Borealis AI Research Team.
                    • -
                    • To help recruit, mentor and retain a high-performing research team.
                    • +
                    • Ability to speak and write in English fluently.
                    -

                    You’re our ideal candidate if you have:

                    +

                    About the job

                    +

                    The Student Researcher Program’s primary objective is to foster academic collaborations with students through research at Google. Join us for a paid Student Researcher position that offers the opportunity to work directly with Google research scientists and engineers on cutting-edge research projects.

                    +

                    The Student Researcher Program offers more opportunities for research students to work on critical research projects at Google in a less structured way. The program allows for opportunities beyond the limitations of our traditional internship program on aspects such as duration, time commitment, and working location (with options for on-site or remote). The topics student researchers work on tend to be open-ended and exploratory, and don't always have a clear deliverable like a traditional internship would.

                    +

                    Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.

                    +

                    Responsibilities

                    +
                    • Participate in research to develop solutions for real-world, large-scale problems.
                    ",,"https://careers.google.com/jobs/results/105590610976481990-student-researcher-bs-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-07-04T01:59:03.250Z,False,0,15,71,https://talenthub.vectorinstitute.ai/jobs/235578624-student-researcher-bs-2023-at-google,,expired,2023-06-12T15:51:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Bachelors Degree,New Posting, +e53cb2b8-659c-4a73-ad0a-566f1d449c78,235578625,Google,"Student Researcher, PhD, 2023",on_site,"Toronto, ON, Canada",2023-06-12T15:51:02.617Z,"

                    Minimum qualifications:

                      -
                    • A Ph.D. degree in Computer Science or a related technical field;
                    • -
                    • 5 years of experience leading machine learning research teams in a product-centric environment or equivalent experience;
                    • -
                    • A track record of successful people management including mentoring junior researchers and engineers, experienced high-performance researchers, and research managers;
                    • -
                    • Experience delivering high-impact machine learning products
                    • -
                    • Involvement across the research and development lifecycle, from prototyping to production, engaging with stakeholders to develop solutions that meet business needs;
                    • -
                    • Detailed knowledge of cutting edge machine learning techniques;
                    • -
                    • The ability to formulate and drive a research project independently;
                    • -
                    • Exceptional communication skills;
                    • -
                    • A history of high quality academic publications (e.g., NeurIPS, CVPR, AISTATS, ICLR, ICML etc.);
                    • +
                    • Currently enrolled in a PhD degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences.
                      +
                    • +
                    • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, etc.).
                      +
                    -

                    What\'s in it for you?

                    +

                    Preferred qualifications:

                      -
                    • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                    • -
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                    • -
                    • Ability to make a difference and lasting impact from a local-to-global scale.
                    • +
                    • Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
                    • +
                    • Currently attending a degree program in Canada.
                    • +
                    • Experience as a researcher, including internships, full-time, or at a lab.
                    • +
                    • Experience contributing to research communities or efforts, including publishing papers in conferences or journals.
                      +
                    • +
                    • Experience with one or more general purpose programming languages (e.g., C/C++, Java, MATLAB, Go, Python, etc.).
                      +
                    • +
                    • Ability to speak and write in English fluently.
                    -

                    About Borealis AI

                    -

                    Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                    -

                    Inclusion and Equal Opportunity Employment

                    -

                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                    -

                    -
                    ",,https://www.borealisai.com/careers/?gh_jid=6616707002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-04-26T18:44:16.280Z,False,0,4,30,https://talenthub.vectorinstitute.ai/jobs/208969300-senior-machine-learning-research-team-lead-at-borealis-ai,,expired,2023-03-26T17:27:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,PhD,New Posting, -6f3d18a8-6615-4e71-bbc7-f3716924997c,208967782,Loblaw Companies Ltd,Data Engineer,on_site,"Ontario, Canada",2023-03-26T17:14:02.070Z,"
                    -

                    Referred applicants should not apply directly to this role.

                    -

                    All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                    -

                    +

                    About the job

                    +

                    The Student Researcher Program’s primary objective is to foster academic collaborations with students through research at Google. Join us for a paid Student Researcher position that offers the opportunity to work directly with Google research scientists and engineers on cutting-edge research projects.

                    +

                    The Student Researcher Program offers more opportunities for research students to work on critical research projects at Google in a less structured way. The program allows for opportunities beyond the limitations of our traditional internship program on aspects such as duration, time commitment, and working location (with options for on-site or remote). The topics student researchers work on tend to be open-ended and exploratory, and don't always have a clear deliverable like a traditional internship would.

                    +

                    Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.

                    +

                    Responsibilities

                    +
                    • Participate in research to develop solutions for real-world, large-scale problems.
                    ",,"https://careers.google.com/jobs/results/108473667903464134-student-researcher-phd-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-07-04T01:59:03.250Z,False,0,9,42,https://talenthub.vectorinstitute.ai/jobs/235578625-student-researcher-phd-2023-at-google,,expired,2023-06-12T15:51:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,PhD,New Posting, +75e60b84-68af-40b5-b15b-45aa549969f7,238638886,BMO Financial Group,"Senior Analyst, Business Banking Credit Risk Analytics (Hybrid)",on_site,"Ontario, Canada",2023-06-23T01:42:01.837Z,"
                    +

                    Application Deadline:

                    08/17/2023

                    -

                    Location:

                    500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

                    +

                    Address:

                    33 Dundas Street West

                    +

                    +

                    Job Family Group:

                    Data Analytics & Reporting

                    +

                    +

                    +

                    +

                    MANDATE

                    -

                    When you hire great people, great things can happen.

                    -

                    PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

                    +

                    The Senior Analyst, Business Banking Credit Risk Analytics supports the execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies. She/he further supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance, and minimizes risk.

                    -

                    Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

                    +

                    The role has three primary areas of accountability which are described in more detail below. Across all these areas, he/she acts as a trusted advisor to Risk and the business, providing specialized consulting, analytical and technical support. This includes engaging key stakeholders on objectives and requirements, building effective analyses & tools to support decisions, and presenting findings in a simple, clear way to drive action. While this role focuses on Business Banking across North America, it may also work on broader enterprise-wide initiatives.

                    -

                    Our mission is to build the PC Bank Payment & Rewards Data Platform, which would serve as an integrated data platform to perform complex big-data processing, advanced analytics, and machine learning. The Data Engineer position is a fantastic opportunity to join our expanding PC Bank Payment & Rewards Engineering team.

                    +

                    Develop Strategy and Portfolio level monitoring that yield insight

                    +
                      +
                    • Create presentations and self-service tools to allow Senior Executives, Product Partners and other stakeholders to clearly understand the performance of Credit Strategies and the Overall North American Business Banking portfolio.
                    • +
                    • Conducts independent analysis and assessment to resolve strategic issues.
                    • +
                    • Highlight insights that drive improvements in business profitability and performance, including identification of emerging issues and trends.
                    • +
                    • Continuously improve consistency and transparency of risk measurement, metrics and reporting
                    • +
                    • Develop a strong understanding of Business Banking Data Architecture and how data flows between systems.
                    • +
                    • Determine the optimal sources of data for timely and effective monitoring. Surface opportunities to further improve the accuracy and timeliness of reports.
                    • +
                    • Assemble presentations that are intuitive, easily digestible and action oriented.
                    • +
                    • Support strong governance of reporting processes. Participate in any migration projects that will impact the availability and meaning of Business Banking data.
                    • +
                    • Support the maintenance of operational procedures and processes related to analytical and reporting processes.
                    • +

                    -

                    The Data Engineering team is looking for passionate engineers working in a fast-paced organization using Agile/Scrum methodology to deliver excellent solutions for our demanding customer service, operations requirements, and resolving the engineering challenges of building robust and scalable data systems aligned to enterprise data strategy.

                    -

                    You will participate in defining technical solutions, code architectures, and will be responsible for developing and delivering production-ready code. The ideal candidate will be someone who genuinely enjoys problem-solving and writing high-quality code to build robust, highly distributed, and scalable data processing systems and pipelines. Some of the challenges the candidate would tackle are:

                    +

                    Forecast Portfolio Performance

                      -
                    • Design, implement and operate PC Bank’s core datasets that have extreme requirements on scalability, reliability, maintainability, flexibility, auditability, and quality
                    • -
                    • Design large scale streaming and batch data pipelines (billions of data points) that involve analyzing transactions over a long period without reprocessing vast amounts of data
                    • -
                    • Perform data profiling and source to target mapping analysis for the best design
                    • -
                    • -Collaborate with business solution analysts, other engineers, solution architects, and other team members to innovate and evolve our datasets to data products to create a single coherent platform with sources of truth that serve a plethora of stakeholders within PC Bank
                    • +
                    • Participate in regular forecasting discussions, particularly around PCL (Provision for Credit Losses).
                    • +
                    • Maintain strong relationships with Collections units to foresee performance trends that may impact forecasts.
                    • +
                    • Undertake stress testing or other performance analyses to understand the range of potential financial outcomes.
                    -

                    What you’ll do:

                    +

                    +

                    Oversee development of Risk and Capital Models

                      -
                    • Apply your expertise in data and software engineering to design and implement data products that meet extreme requirements on scalability, reliability, maintainability, flexibility, auditability, and quality
                    • -
                    • Be T-Shaped. Your primary area is data engineering, but you are comfortable working in a secondary area of expertise such as data presentation/visualization, backend engineering, or data modeling (SQL, NoSQL, Graph & Time-series)
                    • -
                    • Work closely with cross-functional teams of data, backend and frontend engineers, product owners, technical product owners, and technical support personnel
                    • -
                    • Gaining technical expertise in building a data platform at scale to solve business, product, and technical use cases
                    • -
                    • Getting hands-on experience with technologies such as Elasticsearch, Apache Airflow, Apache Kafka, Apache Beam, Apache Spark, Hive, HDFS, Kubernetes (Openshift)
                    • -
                    • -Getting hands-on experience with Google Cloud Platform and technologies such as BigQuery, Cloud Composer, Pub/Sub, Dataflow, Dataproc, GCS, Looker, and other cloud-native offerings in GCP
                    • +
                    • Establish effective working relationships with Canadian and US modeling teams
                    • +
                    • Support Business Banking Credit leaders in overseeing model performance and understanding shifts in their performance. Petition for new models as performance deteriorates.
                    • +
                    • Collaborate on the development of new models by providing business insights into the selection and use of variables. Ensure datasets used for model development are robust, and that new model implementation is thoroughly tested and reliable.
                    -

                    Who you are:

                    +

                    +

                    ____________________________________________________________________________________

                    +

                    +

                    KNOWLEDGE AND SKILLS

                    +

                    +

                    Knowledge & Experience

                    +

                      -
                    • An undergraduate or Master’s degree in Computer Science or equivalent engineering experience
                    • -
                    • 2+ years of professional software engineering and programming experience (Java, Python) with a focus on designing and developing complex data-intensive applications
                    • -
                    • Familiarity with architecture and design (patterns, reliability, scalability, quality) of complex systems
                    • -
                    • Advanced coding skills and practices (concurrency, distributed systems, functional principles, performance optimization)
                    • -
                    • Professional experience working in an agile environment
                    • -
                    • Strong analytical and problem-solving ability
                    • -
                    • Strong written and verbal communication skills
                    • -
                    • Experience in operating and maintaining production-grade software
                    • -
                    • -Comfortable with tackling very loosely defined problems and thrive when working on a team which has autonomy in their day to day decisions
                    • +
                    • Typically, 1-3 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                    • +
                    • In-depth:
                        +
                      • Verbal & written communication skills
                      • +
                      • Collaboration & team skills
                      • +
                      • Analytical and problem-solving skills
                      • +
                      • Influencing skills
                      • +
                      • Data driven decision making skills
                      • +
                      • Knowledge of reporting & analytics concepts and applications
                      -

                      Preferred Skills:

                      -
                        -
                      • Knowledge of software and data engineering best practices
                      • -
                      • Experience with large scale distributed data technologies and tools
                      • -
                      • Experience pulling data from a variety of data source types including Mainframe (EBCDIC), Fixed Length and delimited files, databases (SQL, NoSQL, Time-series)
                      • -
                      • Strong coding skills for analytics and data engineering (Java, Python, and Scala)
                      • -
                      • Experience performing analysis with large datasets in a cloud-based environment, preferably with an understanding of Google’s Cloud Platform (GCP)
                      • -
                      • Understands how to translate business requirements to technical architectures and designs
                      • -
                      • Comfortable communicating with various stakeholders (technical and non-technical)
                      • +

                      -

                      Nice to have Skills (though not required):

                      +
                      • Knowledge of the following is beneficial:
                          +
                        • Risk management metrics: KPIs and KRIs
                        • +
                        • Industry trends and regulatory requirements for risk reporting
                        • +
                        • Risk modeling
                        • +
                        • Loss forecasting
                        • +
                        +
                      +

                      Skills

                      +

                        -
                      • Exposure to data-science or machine-learning packages (Pandas, Pytorch, Keras, TensorFlow, etc...)
                      • -
                      • Contributions to open-source software (code, docs, or mailing list posts)
                      • -
                      • GCP Professional Data Engineer Certification
                      • -
                      • Confluent Certified Developer for Kafka
                      • +
                      • Strong financial, quantitative, and analytic skills to make data driven decisions
                      • +
                      • In depth expertise with key technologies including SAS, SQL, Power BI, Python, Microsoft Products
                      • +
                      • Proven ability to apply expertise and creativity to solve complex problems and manage ambiguity
                      • +
                      • Excellent communication skills (oral and written)
                      • +
                      • Team-oriented, collaborative and flexible
                      • +
                      • Strong time management and project management skills
                      +

                      +

                      +

                      We’re here to help

                      +

                      +

                      At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                      +

                      +

                      As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                      +

                      +

                      To find out more visit us at https://jobs.bmo.com/ca/en.

                      +

                      +

                      BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                      +

                      +

                      Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                      +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Analyst--Business-Banking-Credit-Risk-Analytics--Hybrid-_R230009312?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-07-06T19:59:00.000Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/238638886-senior-analyst-business-banking-credit-risk-analytics-hybrid-at-bmo-financial-group,,expired,2023-06-23T01:42:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +745bc82a-7abe-47e6-810a-5b7f663f7c0c,157858424,Magna International,Data Scientist 4.0,on_site,"MILTON, ONTARIO, CA, L9T 4Z7",2022-10-19T17:29:02.099Z,"
                    +
                    +

                    Role Summary

                    +

                    To use analytical, statistical, and programming skills to collect, analyze, and interpret large data sets. To use this information to develop data-driven solutions to assist in solving organizational challenges. To have and use various technical skill sets including: statistics, coding languages, databases, machine learning as well as reporting technologies.

                    +
                    +
                    +

                    Key Responsibilities

                    +

                    • Work with various management teams throughout the organization to identify opportunities for leveraging company data.
                    • Review and analyze data from organizational databases for the purpose of process optimization and business strategy development.
                    • Determine the accuracy of new data sources as well as data effectiveness.
                    • Develop custom data models and algorithms to apply to data sets.
                    • Use modeling to increase and optimize customer and employee experiences, revenue generation and business outcomes.
                    • Develop frameworks for testing purposes.
                    • Assist and work with multiple department teams to monitor outcomes and conduct model implementation.
                    • Create processes to review and monitor data accuracy
                    • Understand, promote and live by Magna’s philosophies and Employee Charter
                    • Adhere to Modatek’s core values; integrity, respect, trust, honesty, fairness and loyalty
                    • Perform other duties as required

                    +
                    +
                    +

                    Key Qualifications/Requirements

                    +

                    • Master’s in Computer Science or Statistics
                    • Minimum Five (5) years Data Scientist experience in IT in an automotive or related manufacturing environment
                    • Experience Working with and creating data architectures
                    • Knowledge of a various techniques related to machine learning including-artificial network clustering and decision tree learning.
                    • Knowledge of SQL Databases including Time Series and Relational, as well as Python, jQuery, JavaScript and C#
                    • Strong knowledge and experience with statistical techniques with various applications.
                    • Excellent organizational, interpersonal and problem solving skills
                    • Strong oral and written skills
                    • Strong analytical skills
                    • Ability to uphold confidentiality
                    • Demonstrates the ability to work effectively in a team environment
                    • Ability to work overtime to meet customer needs

                    +
                    +
                    +

                    Additional Information

                    +
                    +

                    Division Description
                    Located in Milton, Ontario, Modatek Systems is a division of Magna International. At Modatek, our dedicated team produce chassis systems utilizing innovative hydroforming, automated welding, and electrostatic coating processes within a large, safety-focused facility.
                    What we have to offer
                    Our people are our greatest asset. As a valued Modatek team member, we offer you:
                    • A great work experience with a dedicated and diverse workforce
                    • A focus on safety, health and wellness, including a corporate wellness program, fitness membership discounts, and a subsidized cafeteria with health conscious options
                    • Competitive extended health benefits
                    • A group RRSP with employer matching
                    • Participation in the Employee Equity and Profit Sharing Plan
                    • Company paid uniforms, allowances for prescription safety glasses, earplugs and safety shoes
                    • Staff appreciation events
                    • Continuous training and development, including an educational reimbursement program

                    +

                    Accommodations for disabilities in relation to the job selection process are available upon request.

                    +
                    +
                    +
                    +

                    Awareness. Unity. Empowerment.

                    +

                    At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                    +
                    +
                    ",,https://jobs.magna.com/job/MILTON-Data-Scientist-4_0-ONTA-L9T-4Z7/562187817/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2022-11-19T14:08:47.649Z,False,0,6,56,https://talenthub.vectorinstitute.ai/jobs/157858424-data-scientist-4-0-at-magna-international,https://jobs.magna.com/job/MILTON-Data-Scientist-4_0-ONTA-L9T-4Z7/562187817/,expired,2022-10-19T17:29:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Manufacturing ,Senior Level,PhD,New Posting, +899cb841-70ad-42f5-aec8-28c7b32a1142,157896960,Vector Institute (Internal Opportunities Only),AI for Clinical Champions Certificate Program - Teaching Assistant (TA),full,Anywhere,2022-10-19T21:03:05.758Z,"

                    Please note this position will not be contracted until the enrollment is finalized and the course is confirmed. This confirmation is expected on or before December 12, 2022. The decision to proceed with the course will be dependent on achieving a minimum number of participant registrations.

                    +

                    We are advertising for this role in advance of December 12, 2022, so we are able to move quickly on staffing and developing the course.

                    +

                    Any work done prior to course confirmation will be remunerated accordingly, even if the course is cancelled.

                    +

                    Please note that the Vector Institute will conduct an evaluation of course participants to both evaluate the performance of the teaching assistants, as well as consider program improvements for future iterations of the workshop.

                    +

                    The teaching assistants for this workshop may be asked to provide their service to other courses of the same program type, where offered by the Vector Institute and the Michener Institute for Education at UHN in the same fiscal year, provided they receive positive feedback from the program participants and receive a successful evaluation from the Vector Institute and Michener teams.

                    +

                    STATEMENT OF WORK: AI for Clinical Champions Certificate Program - TA (with Office Hours)

                    +

                    Clinical Champions Program Dates: January 5, 2023 – February 23, 2023 (class sessions)

                    +

                    Location: This course will be delivered online via Blackboard

                    +

                    Overview

                    +

                    AI for Clinical Champions Certificate Program is an online learning program. This immersive and interactive program is facilitated in partnership between the Vector Institute and the Michener Institute for Education at UHN and is designed to enable practicing clinicians to confidently participate in conversations about AI and engage in the implementation of AI applications.

                    +

                    During this course, clinicians will apply the program learnings to their practice and present these learnings to instructors and stakeholders from Vector and Michener. Clinicians will work on a capstone project of their choosing based on their own business context to maximize value.

                    +

                    The program will include approximately 60 participants and cover content, which includes the fundamentals of AI, best practices, ethical considerations, mapping AI to clinical processes, change management strategies, and cases for clinical and business contexts.

                    +

                    TA Tasks and Responsibilities

                    +

                    Development

                    +

                    ● Prepare assignments with direction from the course instructor(s) in advance of the course start date

                    +

                    ● Prepare lecture content for 2-hour lectures with direction from the course instructor(s) in advance of the course start date

                    +

                    ● Participate in course development meetings and engage with course development discussions on Slack

                    +

                    ● Curate recommended readings or supplementary materials to support the assignments

                    +

                    ● Ensure that all course materials are submitted including lecture slides, lecture notes, syllabus, code, scripts, videos, etc. and make sure all materials are available in Blackboard LMS

                    +

                    Delivery

                    +

                    ● Support the Lead Instructor with co-facilitating classes

                    +

                    ● Deliver and mark assignments with direction from the Lead Instructor

                    +

                    ● Mark assignments related to lectures delivered, and enter grades to the Blackboard LMS

                    +

                    ● Provide assistance to course participants following each lecture and throughout the course

                    +

                    Coaching

                    +

                    ● Schedule regular office hours (dates to be determined) in order to support course participants, and work through course assignments

                    +

                    ● Anticipate and be prepared to respond to assignment questions from learners

                    +

                    Fees

                    +

                    ● $1,750 flat fee for development, delivery, marking, TA office hours and administration

                    +

                    ● TAs must submit invoices at the end of the course. All fees are payable at the end of the course, expected to be on or around March 10, 2023, and upon completion of all contractual responsibilities.

                    +

                    Course Schedule

                    +

                    The day and time of TA office hours will be determined by availability of TAs but shall be consistent throughout the course.

                    +

                    Prior to course commencement, touchpoints include:

                    +

                    ● Team kick-off/ curriculum development meeting

                    +

                    ● Team progress meeting

                    +

                    ● Team LMS upload and testing meeting

                    +

                    ● Course launch meeting

                    +

                    These meetings will accommodate schedules as much as possible.

                    +

                    All course units will be released online according to the schedule below and supplemented with office hours. Weekly topics may vary as agreed by the Instructor and the Vector/ Michener team.

                    +

                    Lessons

                    +

                    ● Weekly Lessons: Thursdays 4:00 pm – 6:00 pm EST

                    +

                    ● TA Office Hours: TBA

                    +

                    Week 1: January 5, 2023

                    +

                    ● Fundamentals of AI

                    +

                    ● Application of AI

                    +

                    ● Beliefs about how AI will affect future

                    +

                    ● Attitudes in adopting AI

                    -

                    COVID-19 is a serious condition and has had a devastating impact on Canadians and others across the globe. As a leading Health and Wellness provider for millions of Canadians, our goal is to help all Canadians ""Live Life Well"". ​

                    -

                    -

                    In support of this goal, we have adopted a COVID-19 Vaccination Policy to protect the health and well-being of our employees as we continue our phased approach of office reopening. Employees will be required either to be fully vaccinated or undergo regular COVID-19 Rapid Antigen Screening in order to access the workplace.

                    +

                    Week 2: January 12, 2023

                    +

                    ● Fundamentals of healthcare data science

                    +

                    ● Fundamentals of biomedical informatics

                    +

                    ● Fundamentals of AI

                    +

                    ● Ethical considerations

                    +

                    ● Trust and transparency

                    +

                    Week 3: January 19, 2023

                    +

                    ● Application of AI

                    +

                    ● Strengths and limitations of AI

                    +

                    ● Critical appraisal

                    +

                    ● Ethical considerations

                    +

                    ● Trust and transparency

                    -

                    Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

                    +

                    Week 4: January 26, 2023

                    +

                    ● Data visualization

                    +

                    ● Medical decision making

                    +

                    ● Ethical considerations & trust and transparency

                    +

                    ● Communicating with patients & compassion and empathy

                    +

                    Week 5: February 2, 2023

                    +

                    ● Implementation of AI in healthcare settings

                    +

                    ● Multidisciplinary collaboration

                    +

                    ● Change management

                    -

                    Number of Openings:

                    0

                    +

                    Week 6: February 9, 2023

                    +

                    ● Ethical practice

                    +

                    ● Legal consultation

                    -

                    PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

                    +

                    Week 7: February 16, 2023

                    +

                    ● Data governance

                    -

                    In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                    +

                    Week 8: February 23, 2023

                    +

                    ● Review highlights of what was covered in the program

                    +

                    ● Review of capstone project and answer questions

                    +

                    ● Answer any remaining questions

                    +

                    Capstone Paper Due: March 2, 2023

                    +

                    Capstone and Debrief

                    +

                    ● Course debrief meetings/evaluation

                    +

                    ● Course grades to be submitted approximately one week after the end of the course, or as discussed by the Instructor and the Vector / Michener team

                    +

                    ● Course close - Team wrap meeting

                    +

                    Marks submitted & data captured - end of course.

                    +

                    To apply, please create an account on Vector Talent Hub and submit your CV and a short motivational letter. Alternatively, you may send an email to learn@vectorinstitute.ai. The Talent Hub option is strongly preferred.

                    +

                    Applications will be reviewed on a rolling basis until filled.

                    ",learn@vectorinstitute.ai,,learn@vectorinstitute.ai,https://store.vectorinstitute.ai/,,,2022-11-19T14:10:00.000Z,False,5,0,105,https://talenthub.vectorinstitute.ai/jobs/157896960-ai-for-clinical-champions-certificate-program-teaching-assistant-ta-at-vector-institute-internal-opportunities-only,,expired,2022-10-19T21:03:00.000Z,website-existing-job-slot,Scaling (20-499),Vector Quick Apply,Health,Associate,Masters Degree,New Posting, +28ffd194-2d51-4280-a0a9-d11e2fca1add,164063680,RBC,"Manager, Analytics",on_site,"Toronto, ON, Canada",2022-11-07T17:16:04.039Z,"
                    +

                    Come Work with Us!

                    At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                    Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                    +

                    Job Title

                    Manager, Analytics

                    -

                    Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                    -
                    ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Data-Engineer_R2000234469?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-04-26T18:18:47.370Z,False,0,5,32,https://talenthub.vectorinstitute.ai/jobs/208967782-data-engineer-at-loblaw-companies-ltd,,expired,2023-03-26T17:14:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Associate,Bachelors Degree,New Posting, -eca0b7dd-ab8d-4d56-a7f9-18c241ed9c23,218284096,NVIDIA,Research Scientist Intern - PhD Program,on_site,"Ontario, Canada",2023-04-24T17:42:01.899Z,"
                    -

                    NVIDIA is searching for world-class interns to join our growing software architecture team. The ideal candidate will be conducting cutting-edge research at the intersection of Networking, Security, and Communications, and working alongside top experts in these fields. With incredible resources in networking, you will be able to impact, contribute and advance these exiting domains. Topics include but are not limited to remote direct memory access, hardware offloading and hardware acceleration, AI for networking and security, storage management, cryptography accelerators and architecture. With its unique open culture, NVIDIA is one of the best industry labs to do Accelerated Computing research.

                    +

                    Job Description

                    +

                    * Please note this is a hybrid role, with the expectation that you will be onsite a few days per week.

                    -

                    DPU Data-Processing Units are the smallest form of a data centre, and provide the foundation to implement accelerated computing, where both processing and networking experience a performance boost through the utilization of dedicated processors. DPUs started out as the engine for accelerated networking, but now they can run AI inference and training on-board, deep packet inspection and cryptography accelerations among others thanks to onboard CPU and GPU processors. The path to harvest all processing power of DPUs is encapsulated on the DOCA software development kit, which contain all industry-standards that enable application developers to build up amazing network applications.

                    -

                    This position will be placed with an academic collaborator; either in Denmark (AAU Copenhagen) or the Netherlands (TUE Eindhoven).

                    +

                    What is the opportunity?

                    +

                    Decision Analytics and Business Intelligence (DABI) Team is currently recruiting for an exciting role of Manager, Analytics. In this role, you will work directly with product / client partners in Personal & Commercial Banking, primarily Personal Banking & Investments and Payments teams. You will be called upon to leverage data to formulate and deliver actionable insights to support information-based business decisions and drive change. In addition, you will enable your business clients through the provisioning of data assets, analytical reports and dashboards. In this role, you will have the opportunity to build a solid understanding of RBC’s products, services and the associated client behaviors.

                    -

                    Candidates will first undergo 18 months of academic training and then join NVIDIA as Research Scientist Intern for the next 18 months (either in Denmark or Germany). Both parts of the PhD Program, academic as well as industrial, are paid. The scholarship is highly competitive.

                    -

                    What you’ll be doing:

                    -
                      -
                    • Gain hands on experience with designing and implementing services and applications with DPU DOCA SDK

                    • -
                    • Learn about security subsystems and systems for networking

                    • -
                    • Partner and collaborate with other forward-thinking team members and external researchers

                    • -
                    • Have the opportunity to participate and speak at conferences and events

                    • -
                    • Publish original research

                    • -
                    • Work with intelligent networking machines powered by AI systems that can learn, reason and interact with other network components

                    • -
                    +

                    What will you do?

                    +

                    Perform comprehensive data analysis and communicate meaningful insights in the form of data sets, reports and dashboards.

                    +

                    Maintain or enhance existing reports to showcase insights and support tactics.

                    +

                    Bring in-depth data analyses to bear on the development of revolutionary client universe segmentation and value proposition.

                    +

                    Analyze large data sets in conjunction with data dictionaries to understand business context and how it can be applied to satisfy analytics and reporting requirements. Consult with business partners to understand business goals and the intended client journey.

                    +

                    Seek and deliver on opportunities to automate and streamline analytics and reporting steps.

                    +

                    Participate in strategy meetings to gather and document business requirements and formulate analytical framework for desired outcomes.

                    +

                    Develop reports to detect and trace data anomalies and perform impact analysis.

                    +

                    Learn and apply new businesses, techniques, and ideas within a reasonable period of time.

                    +

                    Participate and contribute to projects with other partner groups to meet business requirements.

                    +

                    Transform the way we use data by developing advanced reporting and analytics to serve our business clients.

                    +

                    Ensure compliance and privacy guidelines are strictly adhered to.

                    -

                    What we need to see:

                    -
                      -
                    • Graduated with a Master’s in Electrical Engineering, Computer, Science/Engineering, Math/Physics/Statistics or a related field

                    • -
                    • Knowledge of common security and cryptography frameworks in the context of networking

                    • -
                    • Track record of research excellence

                    • -
                    • Good communications skills

                    • -
                    • Please include your internship availability in your application

                    • -

                    -

                    NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our Software Architecture Team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.​

                    -

                    -

                    -

                    -

                    -
                    ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Denmark-Roskilde/Research-Scientist-Intern---PhD-Program_JR1962440,feed-importer@jobboard.io,,,,2023-04-27T17:47:05.129Z,False,0,7,34,https://talenthub.vectorinstitute.ai/jobs/218284096-research-scientist-intern-phd-program-at-nvidia,,expired,2023-04-24T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Product Development),Internship/Co-op,Masters Degree,New Posting, -ec7badea-81c4-4eac-b488-a23a9bca4b87,216105429,CIBC,"Sr. Consultant, Reporting Analytics",on_site,"Ontario, Canada",2023-04-17T17:06:03.797Z,"
                    -

                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                    +

                    What do you need to succeed?

                    +

                    Must-have:

                    +

                    Bachelors in Mathematics / Statistics, Engineering, or Computer Science. Masters considered an asset.

                    +

                    Proficiencies in SQL, Python and similar tools to extract, manipulate and analyze large complex data. Experience with SAS, Scala, Spark, Hadoop and Unix preferred.

                    +

                    Advanced Tableau, Excel, PowerPoint skills.

                    +

                    Excellent research and analytical capabilities, data visualization skills to produce complex data analysis.

                    +

                    Strong consulting mindset to thoroughly understand what he / she is solving for and how their business partners will leverage the insights.

                    +

                    Self-starter, able to work and think through problems and assignments in a self-directed manner

                    +

                    Deadline-driven and results-oriented; able to meet consistently high quality standards while handling a variety of assignments and deadlines simultaneously; ability to prioritize.

                    -

                    At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                    +

                    Nice to have:

                    +

                    3+ years of experience in the big data ecosystem, cloud technologies, with Hadoop (Pig, Hive, HDFS), Apache Spark, Java, R and NoSQL/SQL databases

                    +

                    4+ years of experience in business analytics and insights

                    +

                    Experience working in the Financial Services industry

                    +

                    Knowledge of deposit and investment products, payments and banking

                    +

                    Extensive experience connecting to and querying data from RBC data platforms and technologies EDW, Enterprise Data Lake (EDL)

                    -

                    To learn more about CIBC, please visit CIBC.com

                    -

                    Job Description

                    +

                    What’s in it for you?

                    +

                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                    +

                    Ability to make a difference and lasting impact

                    +

                    Work in a dynamic, collaborative, progressive, and high-performing team

                    +

                    Opportunities to do challenging work

                    -

                    At Simplii Financial, we’re on a mission to build the relationship-focused bank of the future and we’re looking for the passionate collaborators, innovators, advisors, and leaders who can get us there. Our distinct culture is built on a shared commitment to do what’s right for our clients, our people, and our communities, and we strive for excellence in everything we do. Because life at Simplii and CIBC is not only what you do, but how you do it.

                    -

                    To learn more about Simplii Financial, please visit simplii.com

                    -

                    What You\'ll Be Doing

                    -

                    The digital insights team works closely with all business areas to provide leadership in analyzing and finding insights from client data. The team designs and provides advanced business analytics, through leadership, stimulating stakeholders and jointly achieving the strategic objectives of Simplii Financial

                    +

                    Job Summary

                    +

                    Address:

                    TORONTO, Ontario, Canada

                    City:

                    CAN-ON-TORONTO

                    Country:

                    Canada

                    Work hours/week:

                    37.5

                    Employment Type:

                    Full time

                    Platform:

                    Personal and Commercial Banking

                    Job Type:

                    Regular

                    Pay Type:

                    Salaried

                    Posted Date:

                    2022-11-04-07:00

                    Application Deadline:

                    2022-11-21-08:00
                    +

                    Inclusion and Equal Opportunity Employment

                    +

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    +
                    +

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                    +
                    ",,https://jobs.rbc.com/ca/en/job/R-0000036668/Manager-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2022-11-21T15:37:00.000Z,False,0,4,21,https://talenthub.vectorinstitute.ai/jobs/164063680-manager-analytics-at-rbc,,expired,2022-11-07T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +0a9d0da0-93a6-41bb-8617-e55a9db0b17a,167443774,BMO Financial Group,"Analyst, Channel Analytics",on_site,"Toronto, ON, Canada",2022-11-15T17:12:02.380Z,"
                    +

                    Address:

                    55 Bloor Street West

                    +

                    Job Family Group:

                    Data Analytics & Reporting


                    +

                    The Channels Analyst is responsible for developing automated, scalable reporting and analytics solutions for Canadian Personal & Business Banking. This position will support omni-channel analytics through delivery of reporting, insights and measurement in line with Enterprise strategy and Digital Acceleration.

                    +

                    The incumbent will act as reporting and analytics subject matter expert for the Digital Channels portfolio while also supporting North American Customer Contact Centre, combining both business and technology acumen to generate and maintain reporting in various forms (ad-hoc analyses, data visualization, self-serve BI).

                    -

                    This position works closely with key functional reporting lines and partners including Sales, Product, Marketing, Customer Management, Risk, Audit, Finance, Operations and Project Management.

                    +

                    Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                    -

                    At CIBC we enable the work environment most optimal for you to thrive in your role Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

                    +
                      +
                    • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                    • +
                    • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                    • +
                    • Build Power BI Dashboards from scratch and maintain existing reporting
                    • +
                    • Data curation – extracting data from multiple sources, manipulating and validation using database tools. Must have SAS, SQL skills and experience +
                    • +
                    • Identify, analyze and interprets trends of patterns in complex data set. Analyze data to drive business decisions and actionable recommendations
                    • +
                    • Assimilate and analyze information from a variety of sources, make recommendations and present information in an easy and understandable manner
                    • +
                    • Develop in-depth understanding of BMO data and systems (IDP, CAD, CDW, Adobe)
                    • +
                    • Comfortable with ambiguity – self-learner able to independently navigate complex data
                    • +
                    • Work proactively and collaboratively with key clients and stakeholders to continuously enhance reporting
                    • +
                    • Quality check key deliverables, ensuring they are delivered accurately and to the highest quality
                    • +
                    • Works independently on a range of complex tasks, which may include unique situations.
                    • +

                    -
                    -

                    How you\'ll succeed

                    -
                      -
                    • Analytical/Reporting Skills - Demonstrate your analytical and reporting capabilities by applying descriptive analytics to analyzed data and validate assumptions, understand and articulate results as it relates to sales, funds and clients. You will manipulate raw data sets for analysis and develop visualization reports to deliver to business partners.

                    • -
                    • Integrate and manipulate a variety of data sources into the reporting required to assess performance and/or profitability and be responsible for providing ongoing and/or ad hoc business level reporting support as required

                    • -
                    -
                    -
                      -
                    • Responsible for the delivery of daily, weekly and monthly core sales reports/dashboards and value-added analysis

                    • -
                    • Work closely with the Client Analytics, Strategy and Insights management team to develop and deliver regular and ad hoc management sales reporting and value-add analysis for the Simplii Financial business

                    • -
                    • Work collaboratively with other team members to ensure business partners needs are met on a timely basis

                    • -
                    • Ensure compliance with controls in support of reporting

                    • -
                    • Relationship building – Collaborate with subject matter experts across Simplii from Product, Marketing, Finance, Risk, Research, Operations, etc.

                    • -
                    -
                    -
                      -
                    • Attention to Detail – being meticulous and ensuring consistency of data across client, channel, financial and product data maintaining the highest quality of outputs.

                    • -
                    • Marketing Technology Experience – having hands-on experience with Marketing Technology stacks (i.e. Adobe, Salesforce, etc.) is a plus and considered an asset

                    • -
                    -

                    -

                    Who you are

                    -
                    • Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

                    -
                    -
                      -
                    • You give meaning to data. You enjoy investigating complex problems and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way.

                    • -
                    • You understand that success is in the details. You notice things that others don\'t. Your critical thinking skills help to inform your decision making.

                    • -
                    • You love to learn. You’ve passionate about growing your knowledge, and you know that there is no limit to what you can achieve.

                    • -
                    • You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

                    • -
                    • You\'re driven to succeed. You are motivated by accomplishing your goals and delivering your best to make an impact.

                    • -
                    -
                      -
                    • You can demonstrate experience in technical knowledge – SQL, Python, and solid knowledge of data sourcing, manipulation and reporting techniques required to perform analysis and make recommendations. Tableau, Adobe Analytics…is an asset to develop visualization of reports to support deliverables for a variety of different partners.

                    • -
                    • You have a degree/diploma or experience equivalent to a university degree in Computer Science, Statistics, or a similar quantitative field. A post graduate degree would be beneficial, as would three years of experience

                    • -
                    -

                    What CIBC offers

                    -

                    At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                    -
                      -
                    • We work to recognize you in meaningful, personalized ways including a competitive compensation, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                    • -
                    • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                    • -
                    • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                    • -
                    +
                      +
                    • Qualifications:

                    • +
                    • Typically a minimum of 2 years of relevant experience in business intelligence/ ETL, analytics and post-secondary degree in related field of study or an equivalent combination of education and experience.
                    • +
                    • Strong experience within data preparation, data analysis, and statistical tool sets including but not limited to SQL, SAS, R/Python - In depth
                    • +
                    • Experience implementing data visualization (Power BI) In depth
                    • +
                    • Strong logical thinking, analytical and problem solving skills;
                    • +
                    • Willingness to learn and being curious;
                    • +
                    • Technical proficiency gained through education and/or business experience.
                    • +
                    • Verbal & written communication skills - In-depth.
                    • +
                    • Collaboration & team skills - In-depth.
                    • +
                    • Analytical and problem solving skills - In-depth.
                    • +
                    • Influence skills - In-depth.
                    • +
                    • Data driven decision making - In-depth.
                    • +
                    +

                    +

                    +

                    We’re here to help

                    -

                    What you need to know

                    +

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    +

                    +

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    +

                    +

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    +

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    +

                    +

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Analyst--Channel-Analytics_R220029631?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://bmocareers.com/,,,2022-11-21T15:36:00.000Z,False,0,1,12,https://talenthub.vectorinstitute.ai/jobs/167443774-analyst-channel-analytics-at-bmo-financial-group,,expired,2022-11-15T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, +06bac573-053a-4c69-92b4-c27c7a2e1775,165150833,Borealis AI,Data Analyst - Secondment Position,on_site,"Ontario, Canada",2022-11-10T17:27:01.408Z,"
                    +

                    What’s the opportunity?

                    +

                    Borealis AI is looking for an expert Data Analyst Lead to own the data domain for our Credit portfolio to drive our development of state of the art machine learning models. In this role, the Data Analyst Lead will work closely with our partner teams at RBC to explore and discover various data sources that might be of interest to our research, analyze the data to understand its properties and semantics, work alongside our researchers to provide the datasets needed for ML model development, and collaborate with our engineering team to develop data tools and automated pipelines in productionization of the models. The successful candidate will use their talent and expertise to own the data domain and make if available with all parties involved through effective communication and thorough documentation.

                    +

                    Qualifications:

                      -
                    • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                    • -
                    • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                    • +
                    • Expert in SQL and SAS
                    • +
                    • Deep understanding of database concepts
                    • +
                    • Experienced in Python and packages such as Numpy and Pandas
                    • +
                    • Experience using Jupiter notebooks
                    • +
                    • Solid background in statistics
                    • +
                    • Self-motivated and results oriented
                    • +
                    • Ability to work with vague requirements
                    • +
                    • Ability to work in a multi-disciplinary team
                    • +
                    +

                    What’s in it for you?

                    +
                      +
                    • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                    • +
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                    • +
                    • Leaders who support your development through coaching and managing opportunities;
                    • +
                    • Ability to make a difference and lasting impact from a local-to-global scale.
                    +

                    About Borealis AI

                    +

                    Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                    +

                    Inclusion and Equal Opportunity Employment

                    +

                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                    +
                    ",,https://www.borealisai.com/careers/?gh_jid=6427439002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-11-21T15:36:00.000Z,False,0,11,48,https://talenthub.vectorinstitute.ai/jobs/165150833-data-analyst-secondment-position-at-borealis-ai,,expired,2022-11-10T17:27:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Masters Degree,New Posting, +b9e03377-e03b-4276-9b67-c9f561d2f735,162849533,Sun Life Financial,"Director, Data Governance and Enablement",on_site,"Ontario, Canada",2022-11-03T17:40:02.070Z,"
                    +

                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                    +

                    Job Description:

                    +

                    Role Summary

                    -

                    -

                    Job Location

                    Toronto-161 Bay St., 4th

                    Employment Type

                    Regular

                    -

                    Weekly Hours

                    37.5

                    Skills

                    -

                    Business Analytics
                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Consultant--Reporting-Analytics_2304316-1?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-04-27T17:11:03.114Z,False,0,2,8,https://talenthub.vectorinstitute.ai/jobs/216105429-sr-consultant-reporting-analytics-at-cibc,,expired,2023-04-17T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -e1d29045-a1a8-433c-8494-8d354c5b468c,214824932,RBC,"Senior Manager, Analytics",on_site,"Toronto, ON, Canada",2023-04-13T17:16:06.811Z,"
                    -

                    Come Work with Us!

                    At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                    Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                    -

                    Job Title

                    Senior Manager, Analytics

                    +

                    The Data Enablement COE within the Client Experience Office (CXO) Sun Life is on a mission to transform how the company applies data and analytics to support Sun Life Canada\'s transformation to a more client centric, data driven organization.

                    -

                    Job Description

                    -

                    What is the opportunity?

                    -

                    Reporting to the Director, Strategy & Performance Analytics, this position is to manage the day-to-day process to measure, manage, and enable performance in Technology & Operations (T&O) by developing and providing senior leadership with data-driven insights, and enabling effective management to progress our strategy. You will collaborate closely with teams across all T&O groups to prepare T&O’s 5-year strategy update to T&O OC monthly. You will also work on various projects to define, streamline, and transform data to draw insights.

                    +

                    We are looking for a Director, Data Governance and Enablement who is an experienced data governance practitioner with strong leadership and influencing skills to lead the development and management of a business led data governance program for our CXO and One Sun Data assets.

                    -

                    What will you do?

                    +

                    Reporting to the AVP for Data Enablement COE in the CXO, this role will execute on the Canadian Data Strategy pillars for Data Governance as we build a culture of business data ownership and focus on developing an offensive minded governance and enablement paradigm rather than a defense first mindset when it comes to building and consuming data asset to deliver on our commitments for achieving business value.

                    +

                    +

                    What will you do?

                      -
                    • Responsible for analysis, challenging and drawing story and trends from the 5-year Strategic KPIs
                    • -
                    • Develop and deliver required reporting for T&O Operating Committee, Investment Review Board, and T&O Finance
                    • -
                    • Lead community of KPI owners and consumers through regular touchpoints on updates and rolling out of new capabilities to improve portfolio management
                    • -
                    • Partner with our reporting / analytics team to develop new KPIs and deliver on required dashboards
                    • -
                    • Partner with our Strategy team to define KPIs to realize our strategic ambitions and track delivery against KPI targets
                    • -
                    • Partner with our Transformation team to support the realization of cost and productivity improvement programs,
                    • -
                    • Implement new measurements and management routines to enable further productivity improvements
                    • -
                    • Implement effective change management and communications to realize target outcomes
                    • +
                    • Responsible for building and enabling a practical, business led Data Governance program for the CXO, while serving as a SME for other business units as well.

                    • +
                    • Develop and operationalize ""offense first"" mindset to the creation and consumption of data assets for the operations of the Data Governance program.

                    • +
                    • Oversee the day to day operations and adherence to Sun Life Canada\'s policies and procedures for enabling the use of data in partnership with stakeholders across IT, Privacy and Compliance.

                    • +
                    • Build a community of data owners and stewards with adequate clarity on their roles and responsibilities, while partnering up with IT to provide effective tools and frameworks to execute the job.

                    • +
                    • Responsible for oversight of strategic delivery of data enablement initiatives

                    • +
                    • Guide business units on data governance concepts to responsibly execute data governance, navigating the complex data landscape advocating for accountability, ethical use and transparency in all initiatives.

                    • +
                    • Develop and maintain data cataloging including metadata, data curation, knowledge management and a ""data marketplace"" to enable ease of understanding our data assets.

                    • +
                    • Embed a practical data quality program in partnership with IT, with a view on enabling metrics and KPI\'s for continuous improvement

                    • +
                    • Participate and influence the Canadian and global DG councils and steering committees as the representative of the SLF Canada business community

                    • +
                    • Become an organizational thought leader for the governance and enablement of data

                    What do you need to succeed?

                    -

                    Must have:

                      -
                    • Proven experience with stakeholder management, facilitation, and collaboration across large organizations
                    • -
                    • Analytical mindset, technical aptitude, and attention to detail
                    • -
                    • Ability to quickly adapt to changing circumstances, competing priorities, and directing work effort of the team
                    • -
                    • Proficiency with Microsoft Office suite such as MS PowerPoint and Excel with proven ability to influence senior leadership through effective presentation skills and participation in cross-functional group settings
                    • -
                    • Value and outcome-oriented, with in-depth financial management and business case acumen
                    • +
                    • 7 years experience working in data and analytics environments.Proven track record of business-minded leadership

                    • +
                    • Minimum of 5 years experience in developing and implementing Data Governance, Data Policy, and Data Stewardship

                    • +
                    • Experience in making Data Governance function to be an enabler for business efficiency and results

                    • +
                    • Demonstrated experience of enabling practical and value driven data governance program

                    • +
                    • Expert communication skills (verbal and written), ability to communicate progress on initiatives in leadership forums.

                    • +
                    • Strong understanding of records and information management and data security and privacy concepts

                    • +
                    • Confidence, drive and the ability to work within a matrixed organization with a focus on business outcomes and value realization.

                    -

                    Nice-to-have:

                    +

                    What will be nice to have?

                      -
                    • Experience with JIRA and Confluence
                    • -
                    • Working knowledge of RBC Project Management tools such as Planview
                    • -
                    • Exposure to RBC portfolio reporting tools such as Tableau
                    • -
                    • Dashboard design and/or development experience
                    • +
                    • Practical experience with data management, data architecture and big data technologies an asset

                    • +
                    • Strong knowledge of Cloud-based capabilities and platforms, with experience in AWS an asset.

                    • +
                    • Experience with leading edge industry tools enabling data stewardship and data cataloging, with experience with Collibra an asset.

                    • +
                    • Consulting background is an asset

                    -

                    What’s in it for you?

                    -

                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                    +

                    What’s in it for you?

                      -
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                    • -
                    • Leaders who support your development through coaching and managing opportunities
                    • -
                    • Ability to make a difference and lasting impact
                    • -
                    • Work in a dynamic, collaborative, progressive, and high-performing team
                    • -
                    • Flexible work/life balance options
                    • -
                    • Opportunities to do challenging work
                    • -
                    • Opportunities to take on progressively greater accountabilities -
                    • -
                    • Opportunities to building close relationships with senior leadership
                    • +
                    • Great Place to Work® Certified in Canada and the US.

                    • +
                    • Named 2021 “Best Places to Work” by Glassdoor

                    • +
                    • Canada Award for Excellence for Mental Health at Work - 2021

                    • +
                    • Flexible hybrid work model including in-country work-from-home if you prefer.

                    • +
                    • Pension, stock and savings programs to help build and enhance your future financial security

                    • +
                    • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                    • +
                    • A friendly, collaborative, and inclusive culture

                    • +
                    • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

                    -
                    • #LI-Hybrid

                    +

                    The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                    -

                    Job Summary

                    -

                    Address:

                    TORONTO, Ontario, Canada

                    City:

                    CAN-ON-TORONTO

                    Country:

                    Canada

                    Work hours/week:

                    37.5

                    Employment Type:

                    Full time

                    Platform:

                    Technology and Operations

                    Job Type:

                    Regular

                    Pay Type:

                    Salaried

                    Posted Date:

                    2023-04-11

                    Application Deadline:

                    2023-04-25
                    -

                    Inclusion and Equal Opportunity Employment

                    -

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    -
                    -

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                    -
                    ",,https://jobs.rbc.com/ca/en/job/R-0000055947/Senior-Manager-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-04-27T17:21:02.278Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/214824932-senior-manager-analytics-at-rbc,,expired,2023-04-13T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,No Degree,New Posting, -bceb325a-f12c-49c9-bb65-f00efee8975a,218282648,Google,"Senior Software Developer, Mobile (iOS), Google Nest",on_site,"Toronto, ON, Canada",2023-04-24T17:20:02.988Z,"
                    -
                    -2023-04-19T12:31:32.504Z
                    -
                      -
                    • Share
                    • -
                      Save -
                    • -

                    Senior Software Developer, Mobile (iOS), Google Nest

                      -
                    • Google
                    • -
                    • In-office:
                      - Waterloo, ON, Canada -
                    • -
                    -
                    -

                    Qualifications

                    -

                    Minimum qualifications:

                    -
                      -
                    • Bachelor’s degree or equivalent practical experience.
                    • -
                    • 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
                    • -
                    • 3 years of experience with iOS application development, testing, maintaining, or launching software products.
                      -
                    • -
                    • 1 year of experience with software design and architecture.
                      -
                    • -
                    -

                    Preferred qualifications:

                    -
                      -
                    • 3 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
                      -
                    • -
                    • 1 year of experience in a technical leadership role.
                    • -
                    • Experience developing accessible technologies.
                    • -
                    -
                    -
                    -
                    -

                    About the job

                    -

                    Google\'s software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We\'re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

                    -

                    In this role, with your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

                    -

                    The Google Nest team focuses on hardware, software and services offerings for the home, ranging from Nest thermostats to Nest smart displays. The Nest team researches, designs, and develops new technologies and hardware to make users’ homes more helpful. Our mission is the helpful home: to create a home that cares for the people inside it and the world around it.

                    -
                    -
                    -
                    -

                    Responsibilities

                      -
                    • Write and test product or system development code.
                    • -
                    • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
                    • -
                    • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
                    • -
                    • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
                    • -
                    • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
                    • -
                    -
                    -

                    Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                    Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and Know your rights: workplace discrimination is illegal. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                    To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                    To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                    At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                    We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                    Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                    -
                    -
                    -
                    ",,"https://careers.google.com/jobs/results/118270456361820870-senior-software-developer-mobile-ios-google-nest/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-04-27T17:25:03.831Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/218282648-senior-software-developer-mobile-ios-google-nest-at-google,,expired,2023-04-24T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Mid-Senior Level,Bachelors Degree,New Posting, -d855d8c3-1668-4a41-aa32-c0f459d94e2f,226183487,RBC,"Manager, Program Governance",on_site,"Toronto, ON, Canada",2023-05-16T15:47:02.763Z,"
                    -

                    Come Work with Us!

                    At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                    Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                    -

                    Job Title

                    Manager, Program Governance

                    +

                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                    -

                    Job Description

                    -

                    What is the opportunity?

                    +

                    Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                    +

                    +

                    At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                    -

                    As a Manager, Program Governance, you will support the delivery of analytical insights for Global Finance IT and build interactive and intuitive dashboards to model data. This role will also be responsible for the oversight of project management tools to ensure appropriate IT cost recovery to various lines of businesses. You will report on various key performance indicators to Senior Management related to financial health and resource capacity trends. In addition, you will work intimately with project managers to leverage best practices on project expenditure management.

                    +

                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                    -

                    What will you do?

                    -
                      -
                    • Provide administration for Finance IT’s project management tools (Planview/MIS) for Finance IT’s development and maintenance portfolio of $100mm+, including the creation/upkeep/closure of projects, population of key data attributes, and ensuring proper cost recovery of all IT personnel
                    • -
                    • Support project managers and delivery leads in administering project management tools and managing all aspects of financials (monitoring of actuals vs plan, forecasting, processing of invoices)
                    • -
                    • Reconcile contractor cost recoveries in Planview/MIS to professional fee accrual during month-end at the contract and resource level
                    • -
                    • Support executive and portfolio level financial/KPI reporting
                    • -
                    • Automate existing reporting and enhance data visualization/analytics through various productivity tools (Tableau, VBA, etc); develop new automated solutions to improve productivity and efficiency
                    • -
                    • Maintain a healthy, accurate financial control environment within the Finance IT Business Management Office, reinforcing our role as the source of financial truth (App Dev, Maintenance, 3rd Party, NIE, etc)
                    • -
                    • Monitoring and communicating key performance metrics and operational challenges
                    • -
                    • Implement change management as required for new implementations and enhancements for project management tools
                    • -
                    +

                    Salary Range:

                    105,000/105 000 - 165,900/165 900

                    +

                    Job Category:

                    Advanced Analytics

                    +

                    Posting End Date:

                    20/11/2022
                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Director--Data-Governance-and-Enablement_JR00067710?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-11-21T15:38:00.000Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/162849533-director-data-governance-and-enablement-at-sun-life-financial,,expired,2022-11-03T17:40:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, +b21ad505-d114-4243-85ae-5e1202199002,165151439,NVIDIA,AI Developer Technology Engineer,on_site,"Ontario, Canada",2022-11-10T17:42:03.700Z,"
                    +

                    NVIDIA is looking for a passionate, world-class computer scientist to work in its Compute Developer Technology (Devtech) team as an AI Developer Technology Engineer.

                    -

                    What do you need to succeed?

                    -

                    Must-have:

                    +

                    What you will be doing:

                      -
                    • Bachelor’s degree, with a focus in finance, accounting, computer science, business or mathematics.
                    • -
                    • Experience in a financial control environment
                    • -
                    • Data analytics and reporting experience on large data sets and multiple sources
                    • -
                    • Advanced command of Microsoft Excel, Word, Powerpoint, and data visualization tools
                    • -
                    • Basic financial services and accounting knowledge
                    • +
                    • Study and develop cutting-edge techniques in deep learning, graphs, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures.

                    • +
                    • Work directly with key customers to understand the current and future problems they are solving and provide the best AI solutions using GPUs.

                    • +
                    • Collaborate closely with the architecture, research, libraries, tools, and system software teams at NVIDIA to influence the design of next-generation architectures, software platforms, and programming models.

                    -

                    Nice-to-have

                    -

                    Notes:

                    +

                    What we need to see:

                      -
                    • Previous experience with Tableau, SQL, Planview
                    • -
                    • Experience in an IT delivery team with a focus on project management, and the systems development lifecycle
                    • -
                    • CPA, PMP, MBA designation(s)
                    • +
                    • BS, MS, or PhD university degree in an engineering or computer science related discipline (MS or PhD preferred).

                    • +
                    • Strong knowledge of C/C++, software design, programming techniques, and AI algorithms.

                    • +
                    • Experience with parallel programming, ideally CUDA C/C++.

                    • +
                    • Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.

                    • +
                    • Some travel is required for conferences and for on-site visits with developers.

                    +

                    With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry\'s most desirable employers. We have some of the most brilliant and talented people on the planet working with us and our engineering teams are expanding fast. If you\'re a creative and autonomous computer scientist with a genuine passion for parallel computing, we want to hear from you.

                    +

                    +

                    +

                    +

                    #deeplearning
                    ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Germany-Munich/AI-Developer-Technology-Engineer_JR1929086,feed-importer@jobboard.io,,,,2022-11-21T17:47:08.995Z,False,0,21,114,https://talenthub.vectorinstitute.ai/jobs/165151439-ai-developer-technology-engineer-at-nvidia,,expired,2022-11-10T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Product Development),Entry Level,PhD,New Posting, +f40bb3d5-ea1d-4f71-ad76-d88fd90cbad8,164065482,OMERS,Data Engineer,on_site,"Ontario, Canada",2022-11-07T17:42:05.545Z,"
                    +

                    -

                    What’s in it for you?

                    -

                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                    +

                    As a key member of the Data & Advanced Analytics team, the role of Data Engineer is instrumental in enhancing data & analytics capabilities by championing industry best practices and delivering high quality data assets to support investment decision making.

                    In this position, you will be working with one of the most advanced cloud Data and Analytics Platform in the industry which serve to the OMERS investment entities and cultivate a business relationship that assists in meeting business demands. You will also support and collaborate with Power BI developers, data scientists and investment professionals and engage in technical support, research and integration through the implementation lifecycle of projects and solutions.

                    This role is accountable for ensuring that all projects, solutions and platforms align with and support overall enterprise Data & Technology strategy & goals, and adhere to company policies, industry standards and best practices.

                    +

                    As a member of this team, you will be responsible for:

                      -
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                    • -
                    • Leaders who support your development through coaching and managing opportunities
                    • -
                    • Ability to make a difference and lasting impact
                    • -
                    • Work in a dynamic, collaborative, progressive, and high-performing team
                    • -
                    • A world-class training program in financial services
                    • -
                    • Flexible work/life balance options
                    • -
                    • Opportunities to do challenging work
                    • -
                    • Opportunities to take on progressively greater accountabilities
                    • -
                    • Opportunities to building close relationships with clients
                    • -
                    • Access to a variety of job opportunities across business and geographies
                    • -
                    • #LI-HYBRID
                    • -
                    • #LI-POST
                    • +
                    • Designing and developing ETL pipelines to achieve a high level of reliability, scalability and security. Sourcing, transforming and delivering structured and unstructured assets for use in Azure Synapse Analytics, Azure Data Factory, SQL Server, and Power BI.

                    • +
                    • Operating in an Agile development environment.

                    • +
                    • Communicating effectively with other engineers in the same team, with other teams and with various other partners such as product managers, data analysts and members of senior management.

                    • +
                    • Participating in solution build, delivery, support and troubleshooting

                    • +
                    • Leading change and communicating impacts to business partners and fellow team members

                    • +
                    • Exhibiting ability to work on multiple projects simultaneously and ensure delivery on time, within scope and within budget

                    • +
                    • Participating in establishing sound data management practices for the team and the organization

                    • +
                    • Identifying, defining and implementing opportunities for enhancing existing processes

                    • +
                    • Defining and executing technical test plans and perform unit and integration testing

                    -

                    +

                    To succeed in this role, you have:

                    +
                      +
                    • Experience. Three to five years of hands-on experience building modern data warehouse and data & analytics products.

                    • +
                    • Industry Knowledge. The ability to quickly propose Azure Data Platform solutions by recalling the latest best practices learned from MVP & Product Team articles, MSFT documentation, whitepapers, and community publications is required

                    • +
                    • Relationship Building. A proven track record of building deep technical relationships. Experience in aligning expectations across various partners.

                    • +
                    • Problem-Solving. Must be able to trace data lineage / workflows and resolve technical issues with minimal supervision. Demonstrated proficiency in understanding and implementing business workflows is a plus.

                    • +
                    • Teamwork. Motivated and keen to work in a collaborative environment with a focus on team success over and above individual success.

                    • +
                    • Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, and technology management is required

                    • +
                    • +

                      Breadth of technical experience and knowledge across the Azure Data Platform, with depth Subject Matter Expertise in two or more of the following Data Platform resources is required:

                      +
                        +
                      • Azure Data Factory or Azure Synapse Analytics

                      • +
                      • SQL database with dimensional modeling

                      • +
                      • Power Platform includes Power Automate and Power Apps

                      • +
                      +
                    • +
                    • Experience with dimensional modeling (star/snowflake)

                    • +
                    • Bachelor’s Degree in an appropriate field of study or equivalent work experience

                    • +
                    • Microsoft certifications are preferred

                    • +

                    -

                    Job Summary

                    -

                    Address:

                    TORONTO, Ontario, Canada

                    City:

                    CAN-ON-TORONTO

                    Country:

                    Canada

                    Work hours/week:

                    37.5

                    Employment Type:

                    Full time

                    Platform:

                    Technology and Operations

                    Job Type:

                    Regular

                    Pay Type:

                    Salaried

                    Posted Date:

                    2023-04-17

                    Application Deadline:

                    2023-05-26
                    -

                    Inclusion and Equal Opportunity Employment

                    -

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    -
                    -

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                    -
                    ",,https://jobs.rbc.com/ca/en/job/R-0000056547/Manager-Program-Governance,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-05-29T15:52:02.152Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/226183487-manager-program-governance-at-rbc,,expired,2023-05-16T15:47:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -5943edf6-cc7e-43b5-81d8-22f287a1bd3f,226183486,RBC,"Associate Director, Risk Measurement and Analytics",on_site,"Toronto, ON, Canada",2023-05-16T15:47:02.684Z,"
                    -

                    Come Work with Us!

                    At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                    Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                    -

                    Job Title

                    Associate Director, Risk Measurement and Analytics

                    -

                    Job Description

                    -

                    What is the Opportunity?

                    -

                    This is a lead risk measurement and analytics role in the areas of loan loss provisions, stress testing and ICAAP within Group Risk Management Caribbean Banking. Your primary responsibility is to ensure the analytics and production processes in these areas are appropriate, correct and executed on-time; so that management, auditors, and regulators receive accurate and complete information/analysis. Compliance with IFRS-9 accounting standards and internal policies is required.

                    +

                    Our story:

                    +

                    Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $121 billion in net assets as at December 31, 2021. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                    -

                    As a risk measurement and credit analytics expert, this role assists senior management in the understanding of impaired loans, losses, and risks in the credit portfolio. This position is located in Toronto, Ontario and is part of the GRM Caribbean Banking.

                    +

                    OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                    -

                    What will you do?

                    +

                    +

                    Vaccination Policy

                    +

                    +

                    At OMERS and Oxford the office or worksite is our primary place of work. We are committed to providing work environments which promote the health, safety and well-being of all employees in accordance with public health regulation and guidance. Accordingly, employees are required to provide evidence of full vaccination or have an approved exemption.

                    +
                    ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Data-Engineer_JR-4135?q=analytics+ontario,feed-importer@jobboard.io,,,,2022-11-21T17:47:08.995Z,False,0,3,40,https://talenthub.vectorinstitute.ai/jobs/164065482-data-engineer-at-omers,,expired,2022-11-07T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +14fa78ad-ef14-4b6e-bd02-717f59454f45,167453024,Scotiabank,"Sr Manager, Collections Data Engineer (12 month Contract)",on_site,Canada : Ontario : Toronto,2022-11-15T17:22:03.186Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 162068

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    Purpose of Job:

                    +

                    +

                    GRM Retail Credit Risk Collections is leader in developing innovative solutions impacting Bank’s profitability. This is accomplished through the use of advanced analytics, collections efficiency and disciplined risk governance.

                    +

                    +

                    You, as a Senior Manager Collections Data Engineer, are a problem solver with a track record on programming and data management. You have strong collaboration and communication skills and great ability to manage multiple priorities in a very fast paced-entrepreneurial environment. You contribute to the success of the Collections function by defining, implementing and automating complex data processes. You are a rigorous logical thinker, curious, flexible and have great teamwork abilities. Your background and experience is on computer science, with experience in programing languages and automation.

                    +

                    +

                    Job Responsibilities:

                    +

                    +
                    • Leverage your strong programming background in order to collaborate with various business partners to:
                    • Lead initiatives involving automation of data routines involving multiple legacy systems and requiring previous experience using big data tools and programing languages
                    • Generate efficiencies in current analytical performance reports and existing data processes
                    • Manage processes related to gathering and processing of structured and unstructured data into a form suitable for analysis (for instance writing scripts, web scraping, calling APIs, write SQL/Hive queries,etc.)
                    • Deliver on descriptive analytical projects leveraging Power BI or Tableau
                    • +
                    +

                    +

                    Job Requirements:

                    +

                    +
                    • Master's degree in Industrial Engineer or Computer Science and background in quantitative analysis
                    • Excellent communication and presentation skills: can convey messages in a clear, concise and succinct manner, select the best method of communication to influence business decisions
                    • Expertise managing data through Big Data tools, and exposure to AI/ Machine Learning
                    • Strong background and proven experience in automation and scripting
                    • Three to five years’ experience as data engineer in banking or consumer
                    • Exposure to statistical software packages such as R or SAS
                    • Experience manipulating large and complex databases
                    • Experience with Angos or similar platforms strongly desired
                    • Results driven individual with high level of curiosity and ability to dive into details without losing sight of the big picture
                    • Exceptional organization skills to prioritize, manage, and implement a variety of competing initiatives, on a concurrent or staggered basis  
                    • +
                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Sr-Manager%2C-Collections-Data-Engineer-%2812-month-Contract%29-ON-M5H1B6/562999417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-11-24T17:27:03.265Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/167453024-sr-manager-collections-data-engineer-12-month-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Sr-Manager%2C-Collections-Data-Engineer-%2812-month-Contract%29-ON-M5H1B6/562999417/,expired,2022-11-15T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +62f30a42-ca9c-49b5-846e-f3a6d8fb537f,165148998,Scotiabank,"Manager, Financial Reporting (Data Analytics)",on_site,Canada : Ontario : Toronto,2022-11-10T17:22:02.092Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 166893

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    Purpose of Job:

                    +

                    +

                    The Manager, Financial Reporting, will assist in the analysis, monitoring and reporting of Retail Credit Risk, Small Business & Wealth Management portfolios including monthly, quarterly and annual reporting for Scotiabank's senior management, investors and regulators.

                    +

                    +

                    Job Responsibilities:

                    +

                    +
                    • Assist in the preparation of Global Retail Credit Risk monthly, quarterly and annual portfolio reporting for Bank Executives and external stakeholders:
                    • Development, analysis and maintenance of key senior management reports including data management, presentation, documentation, quality assurance and operational production effectiveness
                    • Provide prompt and sound analysis of performance of the Retail, Small Business and Wealth Management portfolios to support management decisions
                    • Participate in the identification, assessment and monitoring of credit risk trends and communicate adherence to authorized risk tolerance parameters
                    • Extract, review, and analyze data from Enterprise General Ledger, Enterprise Date Lake & other various sources to address Global Retail Credit Risk ad-hoc reporting needs and projects
                    • Prepare quarterly regulatory reporting and financial note disclosure:
                    • Interact with the Canadian & International Retail Risk groups, Finance, Audit and other Bank departments to ensure information provided is accurate and reliable
                    • Prepare reconciliations and analysis of Retail Risk and financial information to ensure that the data discrepancies are properly known and identified.
                    • Assist in developing enhancements for reporting and data aggregation by:
                    • Following and keeping up-to-date with regulatory requirements, End User Computing guidelines, RDARR principles and other data-related requirements
                    • Improving the reporting methodology, modifying requirements per regulator guidance, identifying streamlining opportunities and redesigning as appropriate
                    • Provide key support and technical expertise in data management and validations, report automation and trend analysis; Work with technology teams to identify issues and implement solutions.
                    • +
                    +

                    +

                    Job Requirements:

                    +

                    +
                    • University degree in business (finance or accounting) or a quantitative field (mathematics or statistics).
                    • A minimum of 5 years progressive experience and functional competencies in development, analytics and delivery of senior management reporting including monthly, quarterly reporting; experience in Retail Banking, Retail Credit Risk and financial / quantitative methodologies.
                    • To be successful in the position, the incumbent must have the following competencies:
                      • Must have knowledge and experience in SAS, SQL and VBA.
                      • Knowledge of current industry trends, regulatory requirements and industry best practices
                      • Familiar with the Bank's General Ledger and / or has experience with preparing financial note disclosures
                      • High level of proficiency in using MS Office suite of applications (MS Word, MS Excel, MS Access, MS PowerPoint)
                      • Ability to analyze raw data; strong ability to understand and write business requirements.
                      • Sound project and time management skills; strong organizational and prioritization skills; strong communication skills, both verbal and written; a highly proactive attitude, and use of initiative and independent judgment
                      • Experience with Power BI or Tableau and open source programming like SQL, R or Python are considered an asset.
                    • +
                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Financial-Reporting-%28Data-Analytics%29-ON-M5H1B6/564983717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-11-24T17:27:03.265Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/165148998-manager-financial-reporting-data-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Financial-Reporting-%28Data-Analytics%29-ON-M5H1B6/564983717/,expired,2022-11-10T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +8c33327b-219d-4ee0-bbe7-2c44064cd46a,167456313,Shopify Inc.,"Senior Product Data Scientist (Remote, Americas)",full,"Ontario, Canada",2022-11-15T17:42:05.065Z,"

                    About the role

                    Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization.

                    +

                    As a Product Data Scientist, primary responsibilities will include

                      -
                    • This is a lead role in the Risk Measurement and Analytics team, covering the areas of IFRS-9 loan loss provisions, ICAAP and stress testing.
                    • -
                    • Responsible for the production environment (currently SAS engine) that is used for the calculation of the IFRS-9 allowance for impaired and performing loans, including implementation of models and working on the design, implementation and testing of quantitative approaches for model overlays.
                    • -
                    • Work collaboratively with the broader Risk Measurement team in the development of models, overlays, analytical capabilities, data systems, testing exercises and other activities needed to support activities conducted by the Risk Measurement and Stress Testing Analytics team.
                    • -
                    • Responsible for the development and execution of the ICAAP frameworks, including development of analytical approaches, reports, and submissions to regional Boards and regulators.
                    • -
                    • Responsible for the development and execution of the stress testing framework of GRM Caribbean Banking; including analytics and reports. Set proper linkages to enterprise for the purpose of Enterprise Wide Stress Testing exercises.
                    • -
                    • Responsible for generating and preparing material for the Allowance Committee presentation deck and financial reporting; including sharing context, insights on the portfolio, and working with the Chair of the Allowance Committee in presenting the material to committee members.
                    • -
                    • Design and Implement controls around IFRS-9 measurement activities.
                    • -
                    • Support the automation of reporting capabilities across GRM Caribbean Banking; including the process used for financial reporting, delinquency and regulatory reports; as required.
                    • +
                    • Proactively identify and champion projects that solve complex problems across multiple domains
                    • +
                    • Partner closely with product, engineering and other business leaders to influence product and program decisions with data
                    • +
                    • Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our business
                    • +
                    • Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas that support business processes
                    • +
                    • Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
                    • +
                    • Influence leadership to drive more data-informed decisions
                    • +
                    • Define and advance best practices within data science and product teams
                    • +
                    ",,https://www.shopify.com/ca/careers/senior-product-data-scientist-remote-americas_14e476e7-b498-4e62-918f-d6ff2631443d,feed-importer@jobboard.io,,,,2022-11-24T15:36:00.000Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/167456313-senior-product-data-scientist-remote-americas-at-shopify-inc,,expired,2022-11-15T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Masters Degree,New Posting, +a142a1c0-8ca6-4990-ad69-fe3eb18b0e05,179960281,Scotiabank,Velocity - Mergers and Acquisitions Analyst Internship/Co-op - Summer 2023,on_site,Canada : Ontario : Toronto,2022-12-22T17:22:02.851Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 169966

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    Term: May – August 2023

                    +

                    Application Deadline: 01/23/2023

                    +

                    +

                    There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                    +

                    +

                    The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

                    +

                    +

                    Is this role right for you? In this role, you will:

                    +
                    • +Acquisitions and Divestitutres
                        • Analyze financial metrics for targets and comparable companies
                        • Conduct in-depth research on the targets/industry related to valuation, shareholder analysis, profitability trends, etc.
                        • Assist in preparing presentations for Executive discussion/approval
                        • Participate in due diligence of potential acquisition targets, which includes analyzing the impact of such transactions on the Bank’s operations, earnings, ROE, and capital
                        • Participate in the sale processes, including populating and managing the dataroom
                      • +Corporate Restructuring
                        • Provide support on corporate restructuring initiatives
                        • Assist with executing plans to optimize the Bank’s capital allocation strategy, improve the Bank and its subsidiaries’ operating financial, and tax efficiency
                      • Complete other projects, as assigned. The group typically takes ad hoc projects concerning a broad range of the Bank’s products and operations
                    -

                    -

                    What do you need to succeed?

                    -

                    Must-have:

                    +

                    +

                    Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                    +
                    • You are currently enrolled in post-secondary education.
                    • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                    • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions.
                    • You are curious, analytical, and able to manage multiple projects at once with tight deadlines
                    • You are familiar with basic finance concepts and financial statements
                    • You are familiar with financial modelling, Bloomberg, and other research platforms
                    • You are proficient in Excel, Word, and PowerPoint
                    • +
                    +

                    +

                    What’s in it for you?

                    +
                    • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                    • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                    • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                    • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                    • +
                    +

                    +

                    How do I apply?

                    +

                    For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationshipsover resumes and are focused on learning about who you are and what youre interested in to uncover your true potential.Instead,we ask that as part of your application you complete the below:

                    +

                    +
                    1. Complete your PLUM Profile here and save as a screenshot.
                    2. +
                    +
                    1. Complete a short one-way video interview here.
                    2. +
                    +
                    1. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
                    2. +
                    +

                    +

                    *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                    +

                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Mergers-and-Acquisitions-Analyst-InternshipCo-op-Summer-2023-ON/566176217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-18T17:27:06.322Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/179960281-velocity-mergers-and-acquisitions-analyst-internship-co-op-summer-2023-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Mergers-and-Acquisitions-Analyst-InternshipCo-op-Summer-2023-ON/566176217/,expired,2022-12-22T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +1e7a03d0-aca5-4a78-8f2f-4b926e8da639,178437763,Borealis AI,Machine Learning Researcher,on_site,"Ontario, Canada",2022-12-17T17:27:02.232Z,"
                    +
                    +

                    What\'s the opportunity?

                    +

                    As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                    +

                    Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                    +
                    +
                    +

                    Your responsibilities include:

                    +
                      +
                    • Developing novel AI solutions that facilitate impactful products;
                    • +
                    • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                    • +
                    • Working with the development team to transfer research work into production;
                    • +
                    • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                    • +
                    • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                    • +
                    +
                    +
                    +

                    You’re our ideal candidate if you have:

                    +
                      +
                    • A passion for solving open problems using data and algorithms;
                    • +
                    • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                    • +
                    • Ability to formulate and drive a research project independently without close supervision;
                    • +
                    • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                    • +
                    +
                    +
                    +

                    What’s in it for you?

                    +
                      -
                    • 3+ years of analytical experience with a financial institution. Other industry experience will be considered based on applicability
                    • -
                    • Graduate degree in a quantitative discipline such as economics, econometrics, finance, statistics, mathematics, physics, engineering and/or a relevant professional qualification, with concentration in quantitative methods
                    • -
                    • Strong conceptual, analytical, and problem solving skills. Ability to manage complex and challenging processes
                    • -
                    • Knowledge of at least two statistical/numerical software programs which must include either Python and/or SAS. Other software can include R, Matlab, STATA, E-Views (among others).
                    • -
                    • Knowledge of databases structure and management (SQL, SAS, etc.)
                    • -
                    • Knowledge on credit risk methodology
                    • +
                    • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                    • +
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                    • +
                    • Leaders who support your development through coaching and managing opportunities;
                    • +
                    • Ability to make a difference and lasting impact from a local-to-global scale.
                    -

                    -

                    Nice-to-have:

                    +

                    About Borealis AI

                    +
                    +
                    +

                    Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                    +

                    Inclusion and Equal Opportunity Employment

                    +

                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                    +
                    ",,https://www.borealisai.com/careers/?gh_jid=5409806002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-01-18T14:39:48.903Z,False,0,14,108,https://talenthub.vectorinstitute.ai/jobs/178437763-machine-learning-researcher-at-borealis-ai,,expired,2022-12-17T17:27:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, +9438ed9c-df88-49bd-9ddc-b11bcbce097e,187360355,BMO Financial Group,"Data Analyst, Summer 2023 (Co-op/Internship) - 4 Months",on_site,"Toronto, ON, Canada",2023-01-16T14:53:10.172Z,"

                    Job requisition id: R220032522

                    +

                    Address: 100 King Street West

                    +

                    Job Family Group:

                    +

                    Finance & Accounting

                    +

                    As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.

                    +

                    +

                    Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO First Friend peer assignment, BMO Social Squad student-led activities, BMO U corporate learning platform and access to various Employee Resource Groups to further develop your network within BMO.

                    +

                    +

                    Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Twitter @BMOonCampus & Instagram @BMO_on_Campus.

                    +

                    Note: Only students currently enrolled in an academic program and returning to their studies will be considered for Co-op/Internship opportunities. Student who recently graduated are invited to apply to our New Grad opportunities which are available at https://jobs.bmo.com/ca/en/new-grad

                    +

                    To apply for this opportunity, please submit your cover letter, resume and an unofficial copy of your academic transcript. By applying for this general posting, you will be considered for a number of different student opportunities across multiple locations. If you are selected to move forward, you will be provided additional information.

                    +

                    Supports the execution of accurate and efficient cyclical reporting processes for regulatory and management information and note disclosure in financial statements to internal and external stakeholders and regulatory bodies. Works across BMO to deliver specific project/program results in alignment with overall group goals. Supports an efficient and effective Accounting function which uses common information sources and practices, reduces ongoing costs, increases service level performance and minimizes risk.

                      -
                    • Knowledge in the areas of stress testing, predictive models and probability distributions, macroeconomics, and international finance is an asset
                    • -
                    • Exposure to more than one of the following risk methodology areas: capital markets and trading, credit risk, structural interest rate risk, liquidity risk, and Basel capital measures
                    • -
                    • Familiarity with RBC’s existing data and infrastructure is preferred, though not required
                    • +
                    • Supports the production of financial, regulatory, and management reporting requirements.
                    • +
                    • Executes work to deliver timely, accurate, and efficient service for monthly, quarterly and annual processes for reporting.
                    • +
                    • Analyses data and information to provide financial, regulatory and related risk insights and recommendations.
                    • +
                    • Supports the interpretation and definition of internal and external policies and regulatory requirements e.g. credit reporting.
                    • +
                    • Ensures strong governance and effective controls across finance & accounting activities and information in accordance with enterprise standards.
                    • +
                    • Provides attestation to the validity of financial results and highlight significant information including variances, trends, opportunities and exposures to their Manager.
                    • +
                    • Provides information and support the process for internal (Corporate and SOX) and external audits.
                    • +
                    • Gathers and formats data into regular and ad-hoc reports, and dashboards.
                    • +
                    • Organizes work information to ensure accuracy and completeness.
                    • +
                    • Completes complex & diverse tasks within given rules/limits and may include handling escalations from other employees.
                    • +
                    • Analyzes issues and determines next steps.
                    • +
                    • Broader work or accountabilities may be assigned as needed.

                      Qualifications:

                      +
                    • +
                    • Typically between 2 – 3 years of relevant experience and post-secondary degree in related field of study desirable or an equivalent combination of education and experience.
                    • +
                    • Specialized knowledge.
                    • +
                    • Verbal & written communication skills - Good.
                    • +
                    • Organization skills - Good.
                    • +
                    • Collaboration & team skills - Good.
                    • +
                    • Analytical and problem solving skills - Good.
                    +

                    We’re here to help

                    +

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    +

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    +

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    +

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    ",,https://bmo.wd3.myworkdayjobs.com/Privileged/job/Toronto-ON-CAN/Data-Analyst--Summer-2023--Co-op-Internship----4-Months_R220032522,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-01-19T21:12:00.000Z,True,0,32,123,https://talenthub.vectorinstitute.ai/jobs/187360355-data-analyst-summer-2023-co-op-internship-4-months-at-bmo-financial-group,,expired,2023-01-16T14:53:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +7a6df2d4-8862-4dc9-93ba-dca88a93618b,178992532,BMO Financial Group,"Analyst, Customer Insights & Reporting, Summer 2023 (Co-op/Internship) 4 - Months",on_site,"Ontario, Canada",2022-12-19T17:12:05.717Z,"
                    +

                    Address:

                    55 Bloor Street West

                    +

                    +

                    Job Family Group:

                    Data Analytics & Reporting

                    +

                    +
                    As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.
                    +

                    -

                    What’s in it for you?

                    +

                    Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO First Friend peer assignment, BMO Social Squad student-led activities, BMO U corporate learning platform and access to various Employee Resource Groups to further develop your network within BMO.

                    -

                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                    +

                    Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Twitter @BMOonCampus & Instagram @BMO_on_Campus.

                    +

                    +

                    Please ensure you upload your resume, cover letter and transcript in the ‘Upload a file’ section prior to submitting your application.

                    +

                    +

                    Please note: Only students currently enrolled in an academic program and returning to their studies will be considered for our Co-op/Internship opportunities. Student who recently graduated are invited to apply to our New Grad opportunities which are available at: https://jobs.bmo.com/ca/en/new-grad

                    +
                    +

                    +

                    +

                    Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                      -
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation
                    • -
                    • Leaders who support your development through coaching and managing opportunities
                    • -
                    • Work in a dynamic, collaborative, progressive, and high-performing team
                    • -
                    • Opportunities to do challenging work
                    • +
                    • Builds effective relationships with internal/external stakeholders.
                    • +
                    • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                    • +
                    • Designs, develops, and implements innovative analytical solutions.
                    • +
                    • Designs and produces regular and ad-hoc reports, and dashboards.
                    • +
                    • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                    • +
                    • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                    • +
                    • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                    • +
                    • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                    • +
                    • Designs, develops, and implements innovative analytical solutions.
                    • +
                    • Designs and produces regular and ad-hoc reports, and dashboards.
                    • +
                    • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                    • +
                    • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • +
                    • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                    • +
                    • Analyzes data and information to provide subject-matter insights and recommendations.
                    • +
                    • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                    • +
                    • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                    • +
                    • Builds effective relationships with internal/external stakeholders.
                    • +
                    • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                    • +
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                    • +
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • +
                    • Works independently on a range of complex tasks, which may include unique situations.
                    • +
                    • Broader work or accountabilities may be assigned as needed.

                      Qualifications:

                      +
                    • +
                    • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                    • +
                    • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Very good.
                    • +
                    • Technical proficiency gained through education and/or business experience.
                    • +
                    • Verbal & written communication skills - In-depth.
                    • +
                    • Collaboration & team skills - In-depth.
                    • +
                    • Analytical and problem solving skills - In-depth.
                    • +
                    • Influence skills - In-depth.
                    • +
                    • Data driven decision making - In-depth.
                    +

                    +

                    +

                    We’re here to help

                    +

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    -

                    Job Summary

                    Monitors market risk and implements risk management systems and processes to minimize any risk to the market. Applies extensive, in-depth knowledge, skills, and practices to perform complex assignments.

                    Address:

                    TORONTO, Ontario, Canada

                    City:

                    CAN-ON-TORONTO

                    Country:

                    Canada

                    Work hours/week:

                    37.5

                    Employment Type:

                    Full time

                    Platform:

                    Group Risk Management

                    Job Type:

                    Regular

                    Pay Type:

                    Salaried

                    Posted Date:

                    2023-05-11

                    Application Deadline:

                    2023-05-27
                    -

                    Inclusion and Equal Opportunity Employment

                    -

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    -
                    -

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                    -
                    ",,https://jobs.rbc.com/ca/en/job/R-0000059432/Associate-Director-Risk-Measurement-and-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-05-29T15:52:02.152Z,False,0,3,6,https://talenthub.vectorinstitute.ai/jobs/226183486-associate-director-risk-measurement-and-analytics-at-rbc,,expired,2023-05-16T15:47:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, -b8cf1c0f-e437-472d-8c52-f58fe2cbb848,221079995,Avidbots,Software Developer - Machine Learning Platform,on_site,"Ontario, Canada",2023-05-01T17:42:02.572Z,"
                    -

                    About Avidbots:

                    -

                    At Avidbots, we believe in solving real world problems with autonomous cleaning robotic solutions to unlock humanity’s potential. Neo is our current ground-breaking autonomous floor scrubbing robot that enhances facility cleanliness around the world empowering reallocation of human capital to higher priority focuses…and we’re just getting started!

                    Headquartered in Kitchener, ON, Canada, we are an employee-focused organization that has been certified a Great Place to Work® consecutively for the last 4 years and one of Deloitte\'s Fast 500 (2021).

                    -

                    Now is your opportunity to join a fast-growing technology company built on teamwork, innovation, and boundless ambition! Take a look at what Neo can do!

                    +

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    -

                    About the role:

                    -

                    The Machine Learning Platform (MLP) team is responsible for developing systems and tools that enable the development and deployment of machine learning solutions to a large fleet of autonomous robots around the world. This includes supporting all stages of the machine learning lifecycle, from data acquisition and transformation, to deployment and monitoring, and collaborating with other teams on model development and training.

                    -

                    You will join a small team with the opportunity to have a large impact on the technical decisions and development of large-scale machine learning initiatives that will shape the next-generation of commercial robotics.

                    -

                    -

                    How you will make a difference:

                    -
                      -
                    • Design, develop, and test data transformation pipelines operating on large amounts of structured and unstructured data.
                    • -
                    • Deploy and maintain scalable cloud infrastructure that support machine learning and data engineering workloads.
                    • -
                    • Collaborate with members of various functional teams to scope, explore, prototype, and implement solutions.
                    • -
                    +

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    -

                    Required Skills & Experience:

                    -
                      -
                    • BE / B.Tech or higher degree in Computer Science / Engineering or equivalent
                    • -
                    • 5+ years of professional software development experience (Python, C++ preferred)
                    • -
                    • Experience building large-scale data transformation pipelines with technologies such as Apache Spark, Amazon S3, Dagster, and Airflow
                    • -
                    • Hands-on experience designing scalable infrastructure for machine learning applications
                    • -
                    • Experience with cloud services such as Amazon Web Services, and familiarity with tools such as Docker, Kubernetes, and Terraform
                    • -
                    • Knowledge of best practices in modern software development, such as git
                    • -
                    • Proficiency with Linux-based operating systems
                    • -
                    +

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    -

                    Nice to Have:

                    +

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Analyst--Customer-Insights---Reporting--Summer-2023--Co-op-Internship--4---Months_R220031435-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa&company=99ba898c88ac011c8a873c01f2016c06,feed-importer@jobboard.io,https://jobs.bmo.com/ca/en,,,2023-01-21T15:35:00.000Z,False,0,3,7,https://talenthub.vectorinstitute.ai/jobs/178992532-analyst-customer-insights-reporting-summer-2023-co-op-internship-4-months-at-bmo-financial-group,,expired,2022-12-19T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +299f1b6b-ce28-42b8-87cc-03cf24c267b2,178992530,BMO Financial Group,"Financial Analyst, Summer 2023 (Co-op/Internship) - 4 Months",on_site,"Ontario, Canada",2022-12-19T17:12:05.632Z,"
                    +

                    Address:

                    100 King Street West

                    +

                    +

                    Job Family Group:

                    Data Analytics & Reporting

                    +

                    +

                    As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.

                    +

                    +

                    Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO First Friend peer assignment, BMO Social Squad student-led activities, BMO U corporate learning platform and access to various Employee Resource Groups to further develop your network within BMO.

                    +

                    +

                    Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Twitter @BMOonCampus & Instagram @BMO_on_Campus.

                    +

                    +

                    Note: Only students currently enrolled in an academic program and returning to their studies will be considered for Co-op/Internship opportunities. Student who recently graduated are invited to apply to our New Grad opportunities which are available at https://jobs.bmo.com/ca/en/new-grad

                    +

                    +

                    To apply for this opportunity, please submit your cover letter, resume and an unofficial copy of your academic transcript. By applying for this general posting, you will be considered for a number of different student opportunities across multiple locations. If you are selected to move forward, you will be provided additional information.

                    +

                    +

                    +

                    Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                      -
                    • Experience with Robot Operating System (ROS)
                    • -
                    • Experience working with a global team
                    • +
                    • Builds effective relationships with internal/external stakeholders.
                    • +
                    • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                    • +
                    • Designs, develops, and implements innovative analytical solutions.
                    • +
                    • Designs and produces regular and ad-hoc reports, and dashboards.
                    • +
                    • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                    • +
                    • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • +
                    • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                    • +
                    • Analyzes data and information to provide subject-matter insights and recommendations.
                    • +
                    • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                    • +
                    • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                    • +
                    • Builds effective relationships with internal/external stakeholders.
                    • +
                    • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                    • +
                    • Focus may be on a business/group.
                    • +
                    • Thinks creatively and proposes new solutions.
                    • +
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • +
                    • Works mostly independently.
                    • +
                    • Broader work or accountabilities may be assigned as needed.

                      Qualifications:

                      +
                    • +
                    • +As part of the BMO campus program, we are looking for motivated University and College students with a strong desire to learn. +
                    • +
                    • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Good.
                    • +
                    • Specialized knowledge from education and/or business experience.
                    • +
                    • Verbal & written communication skills - In-depth.
                    • +
                    • Collaboration & team skills - In-depth.
                    • +
                    • Analytical and problem solving skills - In-depth.
                    • +
                    • Influence skills - In-depth.
                    -

                    -

                    Avidbots is an equal opportunity employer committed to building a diverse workforce. As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. We offer a professional working environment and culture and believe that work/life balance is critical to ensure the happiness/well-being of our people.

                    -

                    -

                    Upon request, Avidbots will provide reasonable accommodation for applicants with disabilities throughout the recruitment and selection process

                    -

                    -

                    #INDAV

                    -
                    ",,https://avidbots.bamboohr.com/careers/659,feed-importer@jobboard.io,,,,2023-05-31T20:37:29.345Z,False,0,10,88,https://talenthub.vectorinstitute.ai/jobs/221079995-software-developer-machine-learning-platform-at-avidbots,,expired,2023-05-01T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Mid-Senior Level,Bachelors Degree,New Posting, -b9c9e643-e5a8-4d10-b76a-c857388daeee,220631441,TD Bank Group,Senior Business Insights Analyst,on_site,"Markham, ON",2023-04-30T17:24:02.558Z,"
                    -

                    Company Overview

                    -
                    -

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    -

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    -
                    -

                    -

                    Department Overview

                    -
                    -

                    We can’t afford to be boring. Neither can you. The scale and scope of what TD does may surprise you. The rapid pace of change makes it a business imperative for us to be smart and open-minded in the way we think about strategy. TD’s strategy and business teams become more intertwined as new opportunities present themselves. This new era in banking does not equal boring. Not at TD, Not at Risk, Not at Fraud strategy, anyway.

                    -

                    The Enterprise Protect is an enterprise-level body that strives to protect TD Bank Group customers, shareholders and employees from financial crimes and fraud. Aligned with TD strategy and risk appetite, Enterprise Protect develops and evolves enterprise policies, advanced analytics capabilities and operational processes to improve governance, oversight, and collaboration between fraud management and other control functions within the Bank.

                    -

                    The Canadian Performance Management (CPM) team operates within Enterprise Protect in a fast-paced environment requiring both strategic and tactical responses to changing fraud patterns and provides a unique opportunity to apply critical thinking and leadership skills in an innovation centric environment.

                    -
                    -

                    -

                    Job Description

                    -
                    -

                    This role will be responsible for developing, implementing and monitoring strategies to manage evolving fraud trends, taking into consideration TD’s risk appetite and customer and operational experience. The Strategist should display a deep fraud and process expertise, and to leverage that knowledge to:

                    -
                      -
                    • anticipate and explain potential fraud risks associated with strategic initiatives across TD
                    • -
                    • help design policy, process or strategic changes to enable the bank to safely deliver its strategic roadmap
                    • -
                    • provide deep fraud and process expertise into solving larger, Fraud-driven strategic initiatives
                    • -
                    • identify emerging fraud trends and develop defenses against emerging and in-market fraud trends
                    • -
                    • understand and actively managing the operational impacts of our fraud defense strategies
                    • -
                    -

                    The successful candidate will work collaboratively with a diverse team of operational agents, Fraud solution developers, data scientists, business insights analysts and subject matter experts and applies fraud business expertise leveraging advanced tools and detection systems to manage risk appropriately. The incumbent will be accountable for loss and customer experience targets.

                    -

                    Accountabilities:

                    -

                    Fraud Management

                    -
                      -
                    • Accountable for fraud loss targets and the customer experience
                    • -
                    • Reviews daily fraud attacks to create segmentation and develop/implement fraud strategies while balancing the impact to the operational teams and customer experience
                    • -
                    • Strategizes on adjustments to shifting network rules, liability requirements or other exogenous factors
                    • -
                    • Owns the strategy design and configuration in all fraud prevention platforms (e.g. Falcon, TSYS, FIS, SQN, PRM, Citadel, DPS, VCas, Avant, Experian, Transunion), in alignment with the Change Management protocols
                    • -
                    • Supports case valuation and prioritization to optimize fraud management
                    • -
                    • Are a subject matter expert on the end-to-end operational process, transaction liability and regulatory requirements
                    • -
                    • Provide ad-hoc analysis to support decision-making at the executive level
                    • -
                    • Design champion / challenger strategies that lead to ongoing learning and improvement
                    • -
                    • Expected to leverage that subject matter expertise to independently investigate new, high-risk exposures under very tight timelines
                    • -
                    • Produce timely diagnostics to identify system, strategy and operational issues
                    • -
                    • Participates in defect analysis to identify and remediate coverage gaps
                    • -
                    • Provides end to end fraud cycle support to all strategy teams for advanced technical builds and consultation for continuous improvement
                    • -
                    • Identify, track, and provide solutions to ongoing fraud vectors and cross-portfolio threats
                    • -
                    • Think forward and provide early gap mitigation to emerging threat vectors globally
                    • -
                    -

                    Partner Support

                    -
                      -
                    • Works with business partners to understand new intent, and to identify the incremental fraud risks associated with that intent
                    • -
                    • Collaborates with business partners to develop solutions that minimize fraud risk while enabling business partners to achieve bank strategic priorities
                    • -
                    • Occasionally provides IT release support to ensure projects reliably deliver on fraud requirements
                    • -
                    • Support the continuous improvement agenda for our operational partners
                    • -
                    • Maintain strong relationships with internal stakeholders such as Fraud Operations, Internal Business Partners, Vendor Managers etc.
                    • -
                    • Act as a subject matter expert and represents the team or bank at project meetings or industry forums
                    • -
                    -
                    -

                    -

                    Requirements

                    -
                    -
                    -
                      -
                    • Undergraduate degree from a technical domain (e.g. finance, engineering, mathematics/statistics computer science), preferably from a STEM program
                    • -
                    • 2+ years’ experience in an analytical capacity
                    • -
                    • Experience using analytical software tools such as Python, R, SQL, Tableau and Excel for data analysis, automation, and reporting
                    • -
                    • In-depth knowledge of data science tools such as NumPy, pandas, matplotlib, scikit-learn/TensorFlow/Keras or equivalent
                    • -
                    • Understanding of machine learning methods with experience in deployment and implementation
                    • -
                    • Experience with automation tools and proven implementation record
                    • -
                    • Ability to quickly and independently structure and deliver on new problems not previous tackled by the bank
                    • -
                    • Demonstrated analytical, modeling and problem solving skills
                    • -
                    • Creative, Critical, Conceptual thinker, ability to wade through data and arrive at conclusions
                    • -
                    • Ability to communicate strategy analysis to both technical and non-technical team members, either verbally or via documentation
                    • -
                    • Ability to take initiative and work independently under tight timelines
                    • -
                    -
                      -
                    • Ability to work collaboratively and build relationships
                    • -
                    • Ability to effectively manage multiple projects and priorities simultaneously
                    • -
                    -
                    • Motivated to constantly strive to find innovative ways to enhance capabilities
                    -

                    Preferable

                    -
                      -
                    • Experience in fraud management is an asset
                    • -
                    • Knowledge of machine learning is an asset
                    • -
                    • Automation experience is an asset
                    • -
                    • Knowledge of fraud detection platforms is an asset
                    • -
                    • Agile experience is an asset
                    • -
                    -
                    -

                    -

                    Additional Information

                    -
                    #tdcybersecurity #LI-Post
                    -

                    -

                    Hours

                    -
                    37.5
                    -

                    -

                    Inclusiveness

                    -

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -

                    -
                    ",,https://jobs.td.com/en-CA/jobs/18031712/senior-business-insights-analyst-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-31T19:32:30.268Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/220631441-senior-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18031712/senior-business-insights-analyst-markham-ca/,expired,2023-04-30T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -cb85b63a-13a7-4f23-9650-937b16a69ff7,220629298,BMO Financial Group,"Manager, Modelling & Analytics",on_site,"Ontario, Canada",2023-04-30T17:12:02.254Z,"
                    +

                    +

                    +

                    We’re here to help

                    +

                    +

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    +

                    +

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    +

                    +

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    +

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    +

                    +

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Financial-Analyst--Summer-2023--Co-op-Internship----4-Months_R220031118-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa&company=99ba898c88ac011c8a873c01f2016c06,feed-importer@jobboard.io,https://jobs.bmo.com/ca/en,,,2023-01-21T15:32:28.827Z,False,0,2,14,https://talenthub.vectorinstitute.ai/jobs/178992530-financial-analyst-summer-2023-co-op-internship-4-months-at-bmo-financial-group,,expired,2022-12-19T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +83e5235d-d5ea-42a2-a99b-0783e8f6ad7e,178992531,BMO Financial Group,"Market Risk Analyst, Summer 2023 (Co-op/Internship) - 4 Months",on_site,"Ontario, Canada",2022-12-19T17:12:05.674Z,"

                    Address:

                    100 King Street West

                    Job Family Group:

                    Data Analytics & Reporting

                    +

                    As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.

                    +

                    +

                    Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO First Friend peer assignment, BMO Social Squad student-led activities, BMO U corporate learning platform and access to various Employee Resource Groups to further develop your network within BMO.

                    +

                    +

                    Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Twitter @BMOonCampus & Instagram @BMO_on_Campus.

                    +

                    +

                    Note: Only students currently enrolled in an academic program and returning to their studies will be considered for Co-op/Internship opportunities. Student who recently graduated are invited to apply to our New Grad opportunities which are available at https://jobs.bmo.com/ca/en/new-grad

                    +

                    +

                    To apply for this opportunity, please submit your cover letter, resume and an unofficial copy of your academic transcript. By applying for this general posting, you will be considered for a number of different student opportunities across multiple locations. If you are selected to move forward, you will be provided additional information.

                    -

                    Supports the research and development of quantitative risk modeling methodologies and related strategies in support of the management of risks arising from business/group portfolios and products. Applies knowledge of analytics algorithms and technologies to develop forward looking models and analytic solutions that ensure risks are properly identified, understood and risk related strategies are enabled. Summarizes statistical findings, draws business conclusions, and presents actionable business recommendations used in the management of risks and related activities e.g. associated internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations. Drives innovation through the development of data products that can be leveraged across the organization and establishes best practices as well influences data governance guidelines and policies. May specialize in one or more risk categories e.g. Credit Risk, Market Risk, Interest Rate Risk, etc.

                    +

                    Supports the execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies. Supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance and minimizes risk.

                      -
                    • Acts as a trusted advisor to assigned business/group.
                    • -
                    • Influences and negotiates to achieve business objectives.
                    • -
                    • Recommends and implements solutions based on analysis of issues and implications for the business.
                    • -
                    • Assists in the development of strategic plans.
                    • -
                    • Identifies emerging issues and trends to inform decision-making.
                    • -
                    • Supports the execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • -
                    • Helps determine business priorities and best sequence for execution of business/group strategy.
                    • -
                    • Conducts independent analysis and assessment to resolve strategic issues.
                    • -
                    • Automates validation tests to improve quality and efficiency of the validation process.
                    • -
                    • Identifies emerging issues and trends to inform decision-making.
                    • -
                    • Builds effective relationships with internal/external stakeholders.
                    • -
                    • Ensures alignment between stakeholders.
                    • -
                    • Cleanses, manipulates, and transforms data through programming/scripting for model training and validation.
                    • -
                    • Conducts various pre-implementation and post-implementation analyses to estimate/measure business impact caused by model adoption (e.g., revenue increase, cost reduction, corporate brand image).
                    • -
                    • Provides input into the planning and implementation of operational programs.
                    • -
                    • Executes work to deliver timely, accurate, and efficient service.
                    • -
                    • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • -
                    • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                    • -
                    • Works with stakeholders to identify the business requirements, understand the distinct problems, and the expected outcome and models and frames business scenarios which impact critical business processes and/or decisions.
                    • +
                    • Designs, develops, and implements reporting solutions to meet management and regulatory reporting requirements.
                    • +
                    • Provides advice and guidance to assigned business/group on implementation of analytical and reporting solutions.
                    • +
                    • Executes work to deliver timely, accurate, and efficient service for scheduled reporting production processes.
                    • +
                    • Supports the maintenance, monitoring, and measurement of key risk indicators to internal & external stakeholders.
                    • +
                    • Analyses data and information to provide risk-related insights and recommendations for the assigned portfolio e.g. capital at risk modeling, risk/return assessments, etc.
                    • +
                    • Supports the interpretation of internal and external policies and regulatory requirements relevant to the analytics and reporting mandate e.g. regulatory reporting.
                    • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
                    • -
                    • Applies scripting/programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                    • -
                    • Develops agreed analytical solution by applying suitable statistical techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, artificial intelligence) to test, verify, refine hypotheses.
                    • -
                    • Summarizes statistical findings and draws conclusions and presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                    • -
                    • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                    • -
                    • Performs experimental design approaches to validate finding or test hypotheses.
                    • -
                    • Uses the appropriate algorithms to discover patterns.
                    • -
                    • Builds effective relationships with internal/external stakeholders. Ensures alignment between stakeholders.
                    • -
                    • Supports development of tools and delivers training for data and analytics.
                    • +
                    • Ensures strong governance and effective controls across risk reporting activities and information in accordance with enterprise standards.
                    • +
                    • Analyzes data and highlights significant information including variances, trends, opportunities and exposures; escalates as required.
                    • +
                    • Provides information and supports the process for internal and external audits.
                    • +
                    • Gathers and formats data into regular and ad-hoc reports, and dashboards.
                    • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • -
                    • Leads/participates in the design, implementation and management of core business/group processes.
                    • -
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                    • -
                    • Provides specialized consulting, analytical and technical support.
                    • +
                    • Builds effective relationships with internal/external stakeholders.
                    • +
                    • Supports the maintenance of operational procedures and processes related to analytical and reporting processes.
                    • +
                    • Supports the development of tools and delivery of training focused on awareness and understanding of key data elements used in risk reporting.
                    • +
                    • Participates in the design, implementation and management of core business processes to ensure the accuracy of risk data used in reporting.
                    • +
                    • Organizes work information to ensure accuracy and completeness.
                    • +
                    • Focus may be on a business/group.
                    • +
                    • Thinks creatively and proposes new solutions.
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • -
                    • Works independently and regularly handles non-routine situations.
                    • +
                    • Works mostly independently.
                    • Broader work or accountabilities may be assigned as needed.

                      Qualifications:

                    • -
                    • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                    • -
                    • Data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS.
                    • -
                    • Relevant experience in risk, capital, and/or treasury management is preferred.
                    • -
                    • A professional designation in Finance or Risk management is preferred.
                    • -
                    • Post-secondary degree in Finance/Economics/Math required.
                    • -
                    • Professional designation in Finance or Risk management required.
                    • -
                    • Deep knowledge and technical proficiency gained through extensive education and business experience.
                    • +
                    • +As part of the BMO campus program, we are looking for motivated University and College students with a strong desire to learn. +
                    • +
                    • Knowledge of risk management metrics, KPIs and KRIs.
                    • +
                    • Knowledge of industry trends and regulatory requirements for risk reporting.
                    • +
                    • Product knowledge for the designated business/portfolio.
                    • +
                    • Knowledge of risk management theory, processes and portfolio management reporting techniques.
                    • +
                    • Knowledge of reporting & analytics concepts and applications.
                    • +
                    • Knowledge of risk systems technology.
                    • +
                    • Specialized knowledge from education and/or business experience.
                    • Verbal & written communication skills - In-depth.
                    • Collaboration & team skills - In-depth.
                    • Analytical and problem solving skills - In-depth.
                    • Influence skills - In-depth.
                    • -
                    • Data driven decision making - In-depth.

                    @@ -173063,164 +180964,157 @@ cb85b63a-13a7-4f23-9650-937b16a69ff7,220629298,BMO Financial Group,"Manager, Mod

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    -
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Modelling---Analytics_R220026982?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-05-31T19:25:54.801Z,False,0,3,15,https://talenthub.vectorinstitute.ai/jobs/220629298-manager-modelling-analytics-at-bmo-financial-group,,expired,2023-04-30T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -3d416028-daf4-488f-86f5-01eced7fbc4e,229115582,Sun Life Financial,Data Analyst,on_site,"Ontario, Canada",2023-05-25T16:10:01.856Z,"
                    -

                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Market-Risk-Analyst--Summer-2023--Co-op-Internship----4-Months_R220031116-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa&company=99ba898c88ac011c8a873c01f2016c06,feed-importer@jobboard.io,https://jobs.bmo.com/ca/en,,,2023-01-21T15:33:13.694Z,False,0,0,11,https://talenthub.vectorinstitute.ai/jobs/178992531-market-risk-analyst-summer-2023-co-op-internship-4-months-at-bmo-financial-group,,expired,2022-12-19T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +34a59239-fc6c-4c22-a3db-5a4694aa3779,188133617,Scotiabank,"Manager, AML/ATF Models and Analytics",on_site,Canada : Ontario : Toronto,2023-01-18T17:22:03.216Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 169014

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    As a Manager in Data Management, AML/ATF Models and Analytics team, you will contribute to building better ways to approach all banking systems data for AML/ATF by using your engineering, analytical and communication skills to work with different business partners across Scotiabank Globally.

                    +

                    Key Accountabilities:

                    +
                    • Deep Dive into banking source data, perform data profiling and analysis to determine better dimensional/hierarchical data for AML/ATF model and predictive data analysis
                    • Conduct Data Quality Assessment Report for AML/ATF Models
                    • Review, analyze and assess data mapping documents related to AML/ATF models
                    • Work with AML Risk, AML Data, Technology partners, Countries to solve infrastructure, data mapping and quality issues
                    • Support any new data project for the team
                    • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge
                    • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                    • +
                    +


                    Experience / Education:

                    +
                    • Strong knowledge and working experience of SQL, python, Hive, Relational Databases and Linux
                    • Strong knowledge and working experience of data lifecycle for customer, account, and transactional data
                    • Previous experience with data modelling and data analysis
                    • Strong communication skills and manage expectations with diverse groups for stakeholders
                    • Familiar with Banking data, products and services
                    • Oracle Mantas Application experience and knowledge would be asset
                    • Spanish speaking would be asset but not mandatory
                    • Bachelor's degree in STEM, Business, Finance, FRM, etc
                    • +
                    +


                    This is a temporary full-time role for 12 months.

                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-AMLATF-Models-and-Analytics-ON-M5H1H1/565970017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-23T23:29:00.000Z,False,0,3,5,https://talenthub.vectorinstitute.ai/jobs/188133617-manager-aml-atf-models-and-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-AMLATF-Models-and-Analytics-ON-M5H1H1/565970017/,expired,2023-01-18T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +2afa047e-8a1c-4a7e-8608-3b6fd7513f40,189569805,TD Bank Group,"Senior Manager, Analytics & Insights",on_site,"Toronto, ON",2023-01-23T17:24:02.439Z,"
                    +

                    Company Overview

                    +
                    +

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    +

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    +

                    +

                    Department Overview

                    +
                    +

                    What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                    +

                    We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                    +

                    -

                    Job Description:

                    -

                    ***Please note this is a contract opportunity ending Dec 27, 2024***

                    -

                    About the role:

                    -

                    Reporting to the Manager, Compliance Analytics, the Data Analyst is responsible for supporting Compliance with a variety of analytics initiatives. These responsibilities include reviewing large quantities of data for a variety of compliance functions, developing enhanced reporting, automation of various processes and performing various investigative and analytical functions.

                    +

                    Job Description

                    +
                    +

                    About this Role

                    +

                    You’ll take the helm of a diverse, inclusive and collaborative group of highly skilled analysts that own reporting, insights and forecasting function for Canadian Fraud Performance Management. The Senior Manager reconciles and condenses/summarizes numerous metrics for our Executives and partners. As a leader with vision and key representative of your team, you’ll bring your talent for relationship-building to the fore, working closely with business owners and other business partners. You’ll work together to master their business objectives then identify their data and information needs and opportunities for adding value to the business. From there, you will oversee the development of ongoing analytics projects and initiatives, using your vast expertise to walk them through the process and provide ongoing support. Most importantly, your leadership inspires leadership in others, as well as the drive to execute with speed and precision and help bring TD into the future of business.

                    -

                    What will you do?

                    +

                    TD’s Fraud Strategy team is undergoing transformational change to become global market leaders. Come and lead this journey.

                    +

                    +

                    As a Senior Manager, Forecasting, Reporting and Insights you will:

                      -
                    • Work with Compliance PMO to develop compliance metrics and dashboards to support effective oversight of business operations’ compliance with regulatory requirements and improved risk management
                    • -
                    • Undertake projects that relate to Compliance, Analytics and Technology
                    • -
                    • Design, develop and implement business requests and analytical solutions using technologies such as Excel, SAS/SQL, Python and Tableau
                    • -
                    • Build automations in Excel and/or other tools to support business needs
                    • -
                    • Produces specialized reports and data extracts for assigned business areas while demonstrating solid understanding of business objectives
                    • -
                    • Maintain and generate the reports and ensures the accuracy of the information
                    • -
                    • Produce technical and user documentation to support create tools and dashboards
                    • +
                    • Oversee and lead a large and/or highly complex, and diverse analytics function for an area of significant risk, complexity or scope
                    • +
                    • Strategically partner with leadership teams on the management of the portfolio and financials, with deep industry, external/internal, enterprise knowledge, recognizing and anticipating emerging trends and; identifying operational efficiencies and opportunities with other business management /enterprise areas
                    • +
                    • Act as a “Single Point of contact’ for key Analytics initiatives including partnering with analytics teams and enterprise data and analytics capabilities
                    • +
                    • Act as analytics expert on advanced analytics projects, challenging analytical thinking and methodology
                    • +
                    • Facilitate key strategic discussions and provide thought leadership to executive audience (output may include strategic roadmap and/or deliverables/frameworks/short to long term goals etc.)
                    • +
                    • Set operational team direction and partner to execute on common goals
                    • +
                    • Manage teams of Business Insights & Analytics professionals/specialists
                    • +
                    • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                    • +
                    • Manage raised client issues or priorities and contact appropriate areas to resolve or minimize business problems/issues
                    • +
                    • Apply judgement, discretion and collaborate with internal partners to navigate and resolve ambiguous issues
                    • +
                    • Review and craft the presentation of insights for executive leaders/business partners to drive strategic improvement
                    • +
                    • Collaborate with business partners to shape and prioritize ad hoc analysis
                    • +
                    • Use data systems and various sources to ensure team is equipped to formulate well-defined solutions to solve business problems
                    • +
                    • Ensure team uses knowledge of data capabilities across the organization to build and deliver on business analytics and insights
                    • +
                    • Oversee the development, testing and ongoing analysis for a business line or functional area employing both internal and external data from various sources
                    • +
                    • Manage workload of analytics team; assigning data request to staff based on skills and development needs
                    • +
                    • Build understanding of big data and advanced analytics capability
                    • +
                    • Identify and articulate key LOB analytic needs and assist in accelerating their delivery
                    • +
                    • Oversee strategies to attract, motivate and retain a highly diverse, qualified and engaged team to fulfill current and future business needs, creating and sustaining a high performing inclusive culture
                    +

                    -

                    What you need to succeed?

                    +

                    Requirements

                    +
                    +

                    What can you bring to TD?

                    +

                    Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    +

                    Education & Experience:

                      -
                    • Bachelor degree in Computer Science, Information Technology, or equivalent experience
                    • -
                    • At least 2 years of experience in data analytics
                    • -
                    • At least 2 years experience with software packages like VBA, SQL, SAS, Python
                    • -
                    • Knowledge of cloud platforms such as AWS
                    • -
                    • Experienced in data visualization tools (Tableau)
                    • -
                    • Experience with ETL processes, data management, and process improvement
                    • -
                    • Excellent programming skills with a keen aptitude for learning new programming languages and analytics tools
                    • -
                    • Strong problem solving and analytical skills
                    • -
                    • Ability to work independently as well as in a team
                    • -
                    • Excellent oral, written and interpersonal communication skills
                    • +
                    • Ten (10) or more years relevant experience
                    • +
                    • Bachelor’s degree in a numerate discipline (e.g. Statistics, Business) required
                    • +
                    • Master’s degree in a numerate discipline (e.g. Statistics, Business) preferred
                    • +
                    • Programming and databases knowledge, ability to process and analyze large volumes of data
                    • +
                    • Background in reporting automation through BI tools like Tableau, Power BI, Hyperion, etc
                    • +
                    • Strong leadership and general management skills in overseeing a team and working collaboratively across functions
                    • +
                    • A high level of integrity, earning the respect and trust of her/his peer group and employees
                    • +
                    • Ability to communicate strategy analysis to both technical and non-technical team members, either verbally or via documentation
                    • +
                    • Conceptual thinker, ability to wade through data and arrive at conclusions
                    • +
                    • Demonstrated analytical, financial modeling and problem-solving skills
                    • +
                    • Solid understanding of Retail Products and Channels
                    -

                    Preferred Skills:

                    +

                    What will set you apart:

                      -
                    • Insurance/Financial Services experience preferred
                    • -
                    • Conceptual knowledge of data science, predictive modelling is a plus
                    • +
                    • Background in Fraud
                    • +
                    • Reporting automation experience
                    • +
                    • Knowledge of TD Finance system an asset
                    • +
                    • Tools: SQL, Hyperion, Tableau, Power BI, Azure

                    -

                    What\'s in it for you?

                    +

                    Employee/Team Accountabilities:

                      -
                    • Remote/ Hybrid Work
                    • -
                    • Competitive salary and bonus structure influenced by market range data
                    • -
                    • A friendly, collaborative, and inclusive culture
                    • -
                    • Being part of our Analytics community, where we share best practices and broaden skill-sets
                    • -
                    • The opportunity to move along a variety of career paths with amazing networking potential
                    • -
                    • Access to our Global Learning Centre, available 24/7 for your learning needs
                    • -
                    • Wellness programs that support the three pillars of your health – mental, physical and financial
                    • +
                    • Sets appropriate context for the business unit/function to enable optimal performance and alignment to strategy
                    • +
                    • Supports the creation of goals and objectives for the business unit/function; Communicates those goals and objectives to the team
                    • +
                    • Builds capability support / executes plans to acquire, develop and retain the diverse teams with the skills and experience necessary to realize on current and future business strategies
                    • +
                    • Role-models behaviors consistent with TD’s leadership profile, customer and employee experience agendas and risk and control culture
                    • +
                    • Creates an extraordinary place to work advance and sustain a unique, inclusive culture that reflects TD’s diversity agenda, and creates an extraordinary employee experience
                    • +
                    • Leads, coaches and develops a highly effective team by ensuring ongoing training and performance and development management
                    +

                    -

                    The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                    -

                    -

                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                    -

                    -

                    Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                    +

                    Additional Information

                    +
                    #tdcybersecurity #LI-Post

                    -

                    At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                    +

                    Hours

                    +
                    37.5

                    -

                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                    +

                    Inclusiveness

                    +

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -

                    Salary Range:

                    53,300/53 300 - 86,300/86 300

                    -

                    Job Category:

                    Advanced Analytics

                    -

                    Posting End Date:

                    29/05/2023
                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Data-Analyst_JR00080908?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-06-01T16:15:01.775Z,False,0,15,35,https://talenthub.vectorinstitute.ai/jobs/229115582-data-analyst-at-sun-life-financial,,expired,2023-05-25T16:10:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -33fde7f1-0869-4eae-8893-98ae39184194,226982328,Google,"Student Researcher, PhD, 2023",on_site,"Toronto, ON, Canada",2023-05-18T15:51:01.825Z,"
                    -
                    -2023-03-31T19:30:50.898Z
                    -
                      -
                    • Share
                    • -
                      Save -
                    • -

                    Student Researcher, PhD, 2023

                      -
                    • Google
                    • -
                    • In-office:
                      - Waterloo, ON, Canada -
                    • -
                    • + 2 more locations
                    • -
                    -
                    -
                    -

                    -

                    Participation in this program requires that you are located in Canada for the duration of the engagement.

                    -

                    This opportunity is intended for students who are pursuing a PhD degree with an anticipated graduation date after December 2024, depending on their program and unique circumstances. If you are graduating before December 2024, we encourage you to apply to the Research Internship opening.

                    -

                    To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English (PDFs preferred). Please ensure your anticipated graduation dates (in MM/YY) and any proficiency in coding languages are listed on resume.


                    Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Montreal, QC, Canada; Toronto, ON, Canada.

                    -
                    -

                    Qualifications

                    -

                    Minimum qualifications:

                    -
                      -
                    • Currently enrolled in a PhD degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences.
                      -
                    • -
                    • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, etc.).
                      -
                    • -
                    -

                    Preferred qualifications:

                    -
                      -
                    • Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
                    • -
                    • Currently attending a degree program in Canada.
                    • -
                    • Experience as a researcher, including internships, full-time, or at a lab.
                    • -
                    • Experience contributing to research communities or efforts, including publishing papers in conferences or journals.
                      -
                    • -
                    • Experience with one or more general purpose programming languages (e.g., C/C++, Java, MATLAB, Go, Python, etc.).
                      -
                    • -
                    • Ability to speak and write in English fluently.
                    • -
                    -
                    -
                    -
                    -

                    About the job

                    -

                    The Student Researcher Program’s primary objective is to foster academic collaborations with students through research at Google. Join us for a paid Student Researcher position that offers the opportunity to work directly with Google research scientists and engineers on cutting-edge research projects.

                    The Student Researcher Program offers more opportunities for research students to work on critical research projects at Google in a less structured way. The program allows for opportunities beyond the limitations of our traditional internship program on aspects such as duration, time commitment, and working location (with options for on-site or remote). The topics student researchers work on tend to be open-ended and exploratory, and don\'t always have a clear deliverable like a traditional internship would.

                    -

                    Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world\'s fast-paced business needs.

                    -
                    -
                    -
                    -

                    Responsibilities

                    • Participate in research to develop solutions for real-world, large-scale problems.
                    -
                    -

                    Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                    Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and Know your rights: workplace discrimination is illegal. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                    To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                    At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                    We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                    Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                    -
                    -
                    -
                    ",,"https://careers.google.com/jobs/results/108473667903464134-student-researcher-phd-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-05-25T15:56:02.232Z,False,0,4,21,https://talenthub.vectorinstitute.ai/jobs/226982328-student-researcher-phd-2023-at-google,,expired,2023-05-18T15:51:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,PhD,New Posting, -091a1a01-648d-4a05-9dd9-f9e405f2344c,219387740,BMO Financial Group,"Manager, Credit Risk Modelling & Analytics",on_site,"Ontario, Canada",2023-04-27T17:12:02.286Z,"
                    -

                    Address:

                    100 King Street West

                    +
                    ",,https://jobs.td.com/en-CA/jobs/16760342/senior-manager-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-24T17:29:03.629Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/189569805-senior-manager-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16760342/senior-manager-analytics-insights-toronto-ca/,expired,2023-01-23T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +75801f06-6e98-4f64-9ecb-31ade7259e08,197097449,BMO Financial Group,"Manager, Operational Risk Reporting and Analytics",on_site,"Ontario, Canada",2023-02-16T17:12:02.823Z,"
                    +

                    Address:

                    250 Yonge Street

                    Job Family Group:

                    Data Analytics & Reporting

                    -

                    Supports the research and development of quantitative risk modeling methodologies and related strategies in support of the management of risks arising from business/group portfolios and products. Applies knowledge of analytics algorithms and technologies to develop forward looking models and analytic solutions that ensure risks are properly identified, understood and risk related strategies are enabled. Summarizes statistical findings, draws business conclusions, and presents actionable business recommendations used in the management of risks and related activities e.g. associated internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations. Drives innovation through the development of data products that can be leveraged across the organization and establishes best practices as well influences data governance guidelines and policies. May specialize in one or more risk categories e.g. Credit Risk, Market Risk, Interest Rate Risk, etc.

                    +

                    Supports the execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies. Supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance and minimizes risk.

                    • Acts as a trusted advisor to assigned business/group.
                    • Influences and negotiates to achieve business objectives.
                    • Recommends and implements solutions based on analysis of issues and implications for the business.
                    • Assists in the development of strategic plans.
                    • Identifies emerging issues and trends to inform decision-making.
                    • -
                    • Supports the execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • +
                    • Researches existing or emerging requirements & related best practices to assist and develops recommendations for changes/enhancements. +
                    • Helps determine business priorities and best sequence for execution of business/group strategy.
                    • Conducts independent analysis and assessment to resolve strategic issues.
                    • -
                    • Automates validation tests to improve quality and efficiency of the validation process.
                    • -
                    • Identifies emerging issues and trends to inform decision-making.
                    • -
                    • Builds effective relationships with internal/external stakeholders.
                    • +
                    • Leads the development and maintenance of the risk reporting framework.
                    • +
                    • Represents the risk reporting function during internal/external regulatory audits and/or examinations
                    • Ensures alignment between stakeholders.
                    • -
                    • Cleanses, manipulates, and transforms data through programming/scripting for model training and validation.
                    • -
                    • Conducts various pre-implementation and post-implementation analyses to estimate/measure business impact caused by model adoption (e.g., revenue increase, cost reduction, corporate brand image).
                    • -
                    • Provides input into the planning and implementation of operational programs.
                    • -
                    • Executes work to deliver timely, accurate, and efficient service.
                    • -
                    • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • -
                    • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                    • -
                    • Works with stakeholders to identify the business requirements, understand the distinct problems, and the expected outcome and models and frames business scenarios which impact critical business processes and/or decisions.
                    • +
                    • Coordinates the management of databases; ensures alignment and integration of data in adherence with data governance standards.
                    • +
                    • Builds change management plans of varying scope and type; leads or participates in a variety of change management activities including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
                    • +
                    • May provide specialized support for other internal and external regulatory requirements.
                    • +
                    • Provides input into the planning and implementation of ongoing operational programs in support risk reporting management framework.
                    • +
                    • Leads/participates in the design, implementation and management of core business/group processes.
                    • +
                    • Designs, develops, and implements reporting solutions to meet management and regulatory reporting requirements.
                    • +
                    • Provides advice and guidance to assigned business/group on implementation of analytical and reporting solutions.
                    • +
                    • Executes work to deliver timely, accurate, and efficient service for scheduled reporting production processes.
                    • +
                    • Supports the maintenance, monitoring, and measurement of key risk indicators to internal & external stakeholders.
                    • +
                    • Analyses data and information to provide risk-related insights and recommendations for the assigned portfolio e.g. capital at risk modeling, risk/return assessments, etc.
                    • +
                    • Supports the interpretation of internal and external policies and regulatory requirements relevant to the analytics and reporting mandate e.g. regulatory reporting.
                    • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
                    • -
                    • Applies scripting/programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                    • -
                    • Develops agreed analytical solution by applying suitable statistical techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, artificial intelligence) to test, verify, refine hypotheses.
                    • -
                    • Summarizes statistical findings and draws conclusions and presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                    • -
                    • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                    • -
                    • Performs experimental design approaches to validate finding or test hypotheses.
                    • -
                    • Uses the appropriate algorithms to discover patterns.
                    • -
                    • Builds effective relationships with internal/external stakeholders. Ensures alignment between stakeholders.
                    • -
                    • Supports development of tools and delivers training for data and analytics.
                    • +
                    • Ensures strong governance and effective controls across risk reporting activities and information in accordance with enterprise standards.
                    • +
                    • Analyzes data and highlights significant information including variances, trends, opportunities and exposures; escalates as required.
                    • +
                    • Provides information and supports the process for internal and external audits.
                    • +
                    • Gathers and formats data into regular and ad-hoc reports, and dashboards.
                    • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • -
                    • Leads/participates in the design, implementation and management of core business/group processes.
                    • +
                    • Builds effective relationships with internal/external stakeholders.
                    • +
                    • Supports the maintenance of operational procedures and processes related to analytical and reporting processes.
                    • +
                    • Supports the development of tools and delivery of training focused on awareness and understanding of key data elements used in risk reporting.
                    • +
                    • Participates in the design, implementation and management of core business processes to ensure the accuracy of risk data used in reporting.
                    • +
                    • Organizes work information to ensure accuracy and completeness.
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                    • Provides specialized consulting, analytical and technical support.
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • @@ -173228,11 +181122,12 @@ cb85b63a-13a7-4f23-9650-937b16a69ff7,220629298,BMO Financial Group,"Manager, Mod
                    • Broader work or accountabilities may be assigned as needed.

                      Qualifications:

                    • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                    • -
                    • Data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS.
                    • -
                    • Relevant experience in risk, capital, and/or treasury management is preferred.
                    • -
                    • A professional designation in Finance or Risk management is preferred.
                    • -
                    • Post-secondary degree in Finance/Economics/Math required.
                    • -
                    • Professional designation in Finance or Risk management required.
                    • +
                    • In-depth knowledge of risk management metrics, KPIs and KRIs.
                    • +
                    • In-depth knowledge of industry trends and regulatory requirements for risk reporting.
                    • +
                    • In-depth product knowledge for the designated business/portfolio.
                    • +
                    • In-depth knowledge of risk management theory, processes and portfolio management reporting techniques.
                    • +
                    • In-depth knowledge of reporting & analytics concepts and applications.
                    • +
                    • In-depth knowledge of risk systems technology.
                    • Deep knowledge and technical proficiency gained through extensive education and business experience.
                    • Verbal & written communication skills - In-depth.
                    • Collaboration & team skills - In-depth.
                    • @@ -173253,92 +181148,169 @@ cb85b63a-13a7-4f23-9650-937b16a69ff7,220629298,BMO Financial Group,"Manager, Mod

                      BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                      Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                      -
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Modelling---Analytics_R220031603?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-05-27T17:49:02.675Z,False,0,3,10,https://talenthub.vectorinstitute.ai/jobs/219387740-manager-credit-risk-modelling-analytics-at-bmo-financial-group,,expired,2023-04-27T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -2591e5de-10c3-4248-9344-4f8e4a62446b,222298123,Sun Life Financial,Senior Data Scientist (Health),on_site,"Ontario, Canada",2023-05-04T17:41:03.263Z,"
                    -

                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Operational-Risk-Reporting-and-Analytics_R220022477-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-03-19T16:14:42.803Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/197097449-manager-operational-risk-reporting-and-analytics-at-bmo-financial-group,,expired,2023-02-16T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +e0d74ab5-129a-4d81-94e6-b98f93eaa155,205321389,OMERS,Business Analyst (12-Month Contract),on_site,"Ontario, Canada",2023-03-16T17:42:03.259Z,"
                    +

                    +

                    +

                    The Business Analyst will join the Data & Analytics (DNA) team within Finance. The Business Analyst will work alongside Technology teams and partner with the business to design, develop, implement, and scale data solutions that follow our data governance requirements (Data Classification, Data Retention, etc.).

                    +

                    Please note this is a 12 month contract role.

                    +


                    You will work closely with our business and technology teams to support implementation of strategic objectives and where possible, you will also identify advanced methods to simplify and automate our solutions. You will develop and nurture strong relationships with key governance partners (including Cybersecurity, Risk, Privacy) and also those within a variety of different business units across our global portfolio,  to elicit, analyze, document, communicate and manage detailed functional specifications

                    +


                    As a member this team, you will be responsible for:

                    +
                      +
                    • Liaising between business and technology teams to elicit, analyze, document and validate requirements for Data and Advanced Analytics products and solutions
                    • +
                    • Defining detailed solutions in the form of detailed technical specifications/approaches for Finance DNA products
                    • +
                    • Ensuring data governance controls such as classification, retention, and disposition are appropriately considered in our products and solutions
                    • +
                    • Providing hands-on support and technical expertise for product and solution implementation
                    • +
                    • Supporting user adoption via the development and delivery of training and enablement activities
                    • +
                    • Supporting Finance DNA’s goal to remain on the leading edge of emerging data, analytics and AI technologies and techniques by identifying industry innovations and related data risk and compliance challenges
                    • +
                    • Document and Process Map all Analytics Products in Production
                    • +
                    • Document technical documents covering lineage , syntax and build SQL/DAX code repository
                    • +
                    • Support with Data Governance onboarding of Data Tables , Dashboards into Collibra and Knowledge Exchange (Kx)
                    • +
                    • Synchronize PowerBI Development , Test and Production Environments
                    • +
                    • Create Logical Diagrams of integrations into Corporate Finance Data Mart.
                    • +
                    • Build Data Dictionary / Catalogue of all assets currently in Data Mart or as Analytics Products
                    • +
                    • Content Management and access review of all Analytics Products in Production across Corporate Finance, Investment Finance , D&T and other Business Units
                    • +
                    • Provide standard templates for Change Management on Analytics products deployed in Production for appropriate backlog management
                    • +

                    -

                    Job Description:

                    +

                    To succeed in this role, you have:

                    +
                      +
                    • A degree in Computer Science, Data, Technology, or Engineering (or related experience)
                    • +
                    • 3-5 years of experience as a business systems analyst with an emphasis on the implementation of data analytics and governance solutions (e.g., Microsoft Information Protection, Records Retention Labeling/Policies in Microsoft 365, Collibra, Informatica, Power BI Dashboards, data warehouses)
                    • +
                    • Demonstrated experience partnering with business stakeholders to elicit and document requirement for complex data analytics and governance products
                    • +
                    • Strong understanding of Microsoft 365 (SharePoint, Teams, OneDrive) including experience gathering technical requirements and hands-on experience in these tools. Experience implementing Microsoft Information Protection and retention labels is highly desirable.
                    • +
                    • Demonstrated experience in modernizing data analytics and governance solutions via process engineering, automation, and other leading-edge approaches
                    • +
                    • Excellent verbal and written communication to effectively articulate and communicate with both business and technical development teams 
                    • +
                    • Independent and motivated working style with a passion for learning new things
                    • +
                    • A team player with a good understanding of the Agile methodology and Change Management best practices
                    • +
                    +

                    +

                    +

                    +

                    +

                    Our story:

                    +

                    Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $121 billion in net assets as at December 31, 2021. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                    -

                    Role Summary

                    +

                    OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                    +
                    ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Business-Analyst--8-Month-Contract-_JR-4634?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-03-20T17:47:03.917Z,False,0,2,13,https://talenthub.vectorinstitute.ai/jobs/205321389-business-analyst-12-month-contract-at-omers,,expired,2023-03-16T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +0d1998c6-08ad-4394-a170-6517e8c3f1f5,205618596,TD Bank Group,Machine Learning Scientist (Layer 6),on_site,"Toronto, ON",2023-03-17T17:24:02.746Z,"
                    +

                    Company Overview

                    +
                    +

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    +

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    +

                    -

                    To support the vision of helping Canadians live healthier lives, Sun Life Health brings together Sun Life’s Group Benefits and Health Ecosystem businesses, including Lumino Health (an innovative platform launched in 2018). By uniting these two groups, Sun Life Health can deliver on transformative health solutions for both Clients and Canadians. If you’re passionate about improving health for Canadians, and like to take on big challenges in a supportive environment, the Data Science & Analytics (DSA) team in Sun Life Health is the right fit.

                    +

                    Department Overview

                    +
                    Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform.

                    +

                    Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 – Visual Relationship (winner in 2019).

                    +

                    -

                    The DSA team is responsible for:

                    +

                    Job Description

                    +
                    +

                    As a Machine Learning Scientist, you will:

                      -
                    • Being the analytics translators to identify and deliver high-impact data science use cases

                    • -
                    • Building dashboards and reports to monitor progress and help extract valuable insights from vast amounts of data

                    • -
                    • Partnering with other Analytics/IT groups to leverage expertise of Data Engineers/Developers to explore and solve complex business problems

                    • -
                    • Supporting various teams within Sun Life Health to leverage best practices associated with data management and develop processes that support data driven decision making

                    • +
                    • Join a world-class team of machine learning researchers with an extensive track record in both academia and industry.
                    • +
                    • Research, develop, and apply new techniques in the intersection of deep learning and personalization to further advance our industry leading product.
                    • +
                    • Work with diverse real-life datasets that range from banking transactions, to predictive health applications, to audio/video consumption.
                    • +
                    • Collaborate closely with the engineering team in a fast paced startup environment and see your research deployed in production with very short turnaround.
                    +

                    -

                    The Senior Data Scientist’s primary focus is to collaborate closely with the health product and strategy team to launch and test new ideas and solutions to generate innovation within Sun Life’s Health Ecosystem, and to identify data science use cases, create the project execution plan and to drive the project through its life cycle. As part of this life cycle, you will create/maintain data models, provide expertise in data interpretation to support strategic decision making, and leverage analytical skills to highlight trends and insights from data. You will also be responsible for feasibility study of use cases for production at scale and automation.

                    -

                    -

                    What Will You Do?

                    +

                    Requirements

                    +
                    +

                    Required Qualifications

                      -
                    • -

                      Identify potential data science/machine learning opportunities, create and execute end-to-end plan for implementation and delivery

                      +
                    • Master/PhD degree in Computer Science, Statistics, Operations Research, Mathematics or related field
                    • +
                    • Strong background in machine learning
                    • +
                    • 5+ years of research experience with publication record
                    • +
                    • Proven track record of applying machine learning to solve real-world problems
                    • +
                    +

                    Preferred Qualifications

                      -
                    • Work closely with health product and strategy team to define use case and scope

                    • -
                    • Identify appropriate data sources relevant to the modeling application

                    • -
                    • Create data pipeline for extracting the data into AWS S3

                    • -
                    • Perform data preprocessing to ensure data quality

                    • -
                    • Apply feature engineering principles to create feature space

                    • -
                    • Create labels if known and appropriate to the problem at hand

                    • -
                    • Apply machine learning models to identify model with best performance

                    • -
                    • Perform cross validation and hyper parameter tuning to optimize model performance

                    • -
                    • Prepare model for deployment

                    • -
                    • Monitor deployed model for data and model drift

                    • +
                    • Experience with representation learning & recommender system.
                    • +
                    • Hands on experience in software systems development and SaaS applications
                    • +
                    • Experience with one or more Java, Matlab, Scala, Tensorflow and MXNet
                    • +
                    • Experience using GPUs for accelerated deep learning training
                    • +
                    • Familiarity with AWS
                    - -
                  • Participate in the technical design, development, and testing of models/analysis and in the creation of user documentation and processes

                  • -
                  • Create and maintain ETL processes and automated dashboards that can be leveraged to find insights

                  • -
                  • Develop and present reporting solutions to key stakeholders and partners

                  • -
                  • Learn about business processes to analyze, interpret, and advise managers on analytical findings

                  • -
                  • Collaborate with stakeholders to ensure effective use of reporting and analysis, and provide support if needed

                  • -
                  • Understand and incorporate technology best practices with a primary focus on Tableau and Python

                  • -
                  • Diligently perform quality assurance and risk assessment guidelines to minimize operational, reputation, and legal risk

                  • +
                    +

                    +

                    Additional Information

                    +
                    #LI-Hybrid
                    +

                    +

                    Hours

                    +
                    37.5
                    +

                    +

                    Inclusiveness

                    +
                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.
                    +

                    +
                    ",,https://jobs.td.com/en-CA/jobs/17650201/machine-learning-scientist-layer-6-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-21T14:50:00.000Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/205618596-machine-learning-scientist-layer-6-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17650201/machine-learning-scientist-layer-6-toronto-ca/,expired,2023-03-17T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +50934da3-8572-413d-ae52-80e9bfc1f4a7,205617853,Scotiabank,"Manager, Data and Model Analytics and Reporting, Payment Screening",on_site,Canada : Ontario : Toronto,2023-03-17T17:22:02.998Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 174107

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    Job Purpose

                    +

                    The Global Sanctions & Screening Payment team is a risk management function responsible for the governance of sanctions screening solutions globally, enterprise wide. The team leads and oversees Global Sanctions Program’s payment screening solutions management functions, ensuring tuning methodology, rules governance framework, and screening standards are developed, managed, executed, and maintained in compliance with governing regulations, internal bank-wide policies and procedures.

                    +

                    +

                    Is this role right for you? In this role, you will:

                    +

                    Support the sanctions screening solutions management function globally, enterprise-wide:

                    +
                    • Create and/or maintain framework documents, including tuning methodology, rules governance framework, screening standards, and other documentations involving sanctions screening systems and processes
                    • Design and develop analytical solution/tools using SQL, Python or VBA to meet business requirements
                    • Develop a tracking mechanism for documentations owned by Global Sanctions Screening Solutions team, and facilitate periodic updates and approvals to the documentations
                    • Develop deep understanding and subject matter expertise of sanctions screening systems, system capabilities, and relevant processes, as well as product knowledge for payments and trade finance transactions
                    • Develop and/or contribute to data analytics requirements for sanctions screening solutions for payments and trade finance transactions
                    • Develop and maintain an issues log and track issues to closure for each of the sanctions screening systems
                    • Liaise and provide support to the Model Validation team to ensure the success of the annual model validation efforts for sanctions screening systems
                    • Liaise and provide input to the Models & Analytics team to ensure the success of the analytics/reporting and tuning efforts for sanctions screening systems
                    • Facilitate the testing and management reporting on the efficacy and efficiency of the systems
                    • Lead and/or provide support to the efforts of operationalizing Risk Tolerance Frameworks for sanctions screening systems and process; support ongoing tuning effort to review and opine on tuning recommendations, business rules, fuzzy logic exceptions, and etc., and facilitate the documentation and approval process
                    • Consider risk based approach in decision-making process and support risk based approach culture throughout the Global Sanctions Program
                    • Lead and/or contribute to the preparation of regulatory examination or internal audit engagements in a timely manner
                    • Support the management of Sanctions Risk Appetite Framework; develops a deep understanding of the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                    • +
                    +

                    +

                    People and Culture:

                    +
                    • Lead and drive a customer focused culture and deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                    • Build a high performance environment and implements a people strategy that will attract, retain, develop and motivate their team and colleagues by fostering an inclusive work environment; communicating vision/values/business strategy and managing succession and development planning for the team and colleagues.
                    • +Create and foster an environment in which his/her team and colleagues pursue effective and efficient operations, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                    • +
                    +

                    Do you have the skills that will enable you to succeed in this role? - We'd love to work with you if you have:

                    +
                    • Minimum Bachelor’s degree in Computer science, data engineering, or related field.
                    • Minimum 2-3 years in compliance or governance functions in the financial services sector.
                    • In-depth knowledge of regulatory requirements with respect to sanctions or AML.
                    • Strong communication, analytical, organizational, project management, and planning skills.
                    • Advanced and practical skills in programming language including Python, SQL and VBA.
                    • Advanced skills in Microsoft Office suite, including Access, Excel, Project, Visio and PowerPoint.
                    • Knowledge of business, products, operations, systems, and organization for financial services sector.
                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-and-Model-Analytics-and-Reporting%2C-Payment-Screening-ON-M5C2W1/567916417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-03-21T14:50:00.000Z,False,0,2,5,https://talenthub.vectorinstitute.ai/jobs/205617853-manager-data-and-model-analytics-and-reporting-payment-screening-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-and-Model-Analytics-and-Reporting%2C-Payment-Screening-ON-M5C2W1/567916417/,expired,2023-03-17T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +d6905b0e-bf58-4456-a8e6-4f77efc86047,205321262,Sun Life Financial,"Senior Analyst, Insights",on_site,"Ontario, Canada",2023-03-16T17:41:03.248Z,"
                    +

                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                    -

                    What Do You Need To Succeed?

                    +

                    +

                    Job Description:

                    +

                    At Retail Advice & Solutions (RA&S) within Sun Life Canada, our vision is to help our clients achieve lifetime financial security and live healthier lives with tailored advice and solutions through their channel of choice.

                    +

                    +

                    Retail Advice & Solutions (RA&S) Advanced Analytics & the Business Intelligence team are seeking a talented Senior Analyst to join our team to support our ever-growing data & insights needs. Reporting to the Director, Distribution Analytics, the Senior Insights Analyst will support the business with deep analytics and insights to answer strategic and operational questions primarily for the Business Governance & Controls team.

                    +

                    +

                    What will you do?

                      -
                    • Coding experience preferably in Python (minimum 3 years)

                    • -
                    • Experience with developing machine learning, statistical and optimization models and creating/maintaining visualizations and dashboards in Tableau (minimum 2 years)

                    • -
                    • Experience in healthcare and familiarity with health data (1 year)

                    • -
                    • Familiar with data science project life cycle

                    • -
                    • Technical mindset with a degree in Computer Science, Statistics, Mathematics, Engineering, or other data science related fields, and 3-5 years of relevant experience. A graduate degree would be an asset, a combination of education and work experience will also be considered.

                    • -
                    • Strong problem solving and analytical skills

                    • -
                    • Demonstrated ability to produce meaningful results from data

                    • -
                    • Proven experience consolidating and analyzing data sources

                    • -
                    • Excellent written and verbal communication skills with experience in relaying complex concepts to non-technical users

                    • -
                    • Comfortable learning new applications quickly with minimal direction

                    • -
                    • Proven ability to work collaboratively within a cross functional team environment

                    • -
                    • Ability to succeed in a dynamic, fast-paced environment, and quickly find alternative solutions to business and data challenges

                    • -
                    • Attention to detail and in-depth planning, organizational and time management skills

                    • -
                    • Experience working with relational databases and creating data models with efficient design

                    • -
                    • Experience with AWS SageMaker would be an asset.

                    • +
                    • Partner with the BG&C (Business Governance and Controls) team to provide insights on risk and compliance related data

                    • +
                    • Ensure that the reporting needs for BG&C are appropriately met, teaming with BI Analysts on the RA&S Analytics team to deliver on these needs

                    • +
                    • Develop and maintain Tableau dashboards to support the team with many initiatives, and to track and improve their OKRs

                    • +
                    • Turn complex data into easy-to-understand insights that are aligned to business objectives

                    • +
                    • Work with BG&C team to identify where insights might add the most value in driving effective decision making and frame the analytics support to deliver these insights

                    • +
                    • Put together effective presentations of findings and communicate actionable insights to the team

                    -

                    Unique Requirements

                    +

                    What do you need to succeed?

                      -
                    • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

                    • -
                    • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                    • +
                    • Degree in computer science, statistics, mathematics, engineering, or equivalent is required

                    • +
                    • 5+ years\' experience in delivering insights and analytics

                    • +
                    • Experience in using data analysis tools such as Microsoft SQL server, SAS EG or similar

                    • +
                    • Must be proficient in SQL coding to query and analyze data

                    • +
                    • Must have experience in creating dashboards and stories in Tableau

                    • +
                    • Experience in working in an agile development environment including rapid prototyping during sprints

                    -

                    What\'s In It For You?

                    +

                    What will be nice to have?

                      -
                    • Competitive salary and bonus structure influenced by market range data

                    • -
                    • 20 days vacation per year and an innovative sabbatical program

                    • -
                    • Great Place to Work® Certified in Canada and the US - 2022

                    • -
                    • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                    • -
                    • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid #LI-Remote

                    • -
                    • A friendly, collaborative and inclusive culture

                    • -
                    • Being part of our Analytics community, where we share best practices and broaden skill-sets

                    • -
                    • Flexible Benefits from the day you join to meet the needs of you and your family

                    • -
                    • Pension, stock and savings programs to help build and enhance your future financial security

                    • -
                    • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                    • +
                    • Past experience in life insurance / wealth management, or other financial services industry enterprises

                    • +
                    • Past experience in implementing data and analytics capabilities within an enterprise

                    +

                    What’s in it for you?

                    +
                      +
                    • Flexible Benefits from the day you join to meet the needs of you and your family

                    • +
                    • Pension, stock, and savings programs to help build and enhance your future financial security

                    • +
                    • ​Being a member of the Sun Life family, a group of people united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                    • +
                    • We’re proud to be a Best Workplace for Hybrid Work by Great Place to Work® Canada

                    • +

                    The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                    @@ -173352,7 +181324,7 @@ cb85b63a-13a7-4f23-9650-937b16a69ff7,220629298,BMO Financial Group,"Manager, Mod

                    Salary Range:

                    74,100/74 100 - 120,800/120 800

                    Job Category:

                    Advanced Analytics

                    -

                    Posting End Date:

                    14/05/2023
                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Scientist--Health-_JR00075947?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-05-15T22:42:00.000Z,False,0,5,39,https://talenthub.vectorinstitute.ai/jobs/222298123-senior-data-scientist-health-at-sun-life-financial,,expired,2023-05-04T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +

                    Posting End Date:

                    20/03/2023
                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Analyst--Insights_JR00076943?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-03-21T15:42:00.000Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/205321262-senior-analyst-insights-at-sun-life-financial,,expired,2023-03-16T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, 1b8766c9-399a-43bd-881a-1cee56226183,203170737,Bell Canada,"Developer, Data Science",on_site,"Toronto, Ontario",2023-03-09T17:21:06.918Z,"

                    Req Id: 408460

                    At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we’re revolutionizing how Canadians communicate.

                    @@ -173961,6 +181933,40 @@ da4c0fe4-13ed-4cd8-900f-d1e91a1cc3a5,202113587,BMO Financial Group,Home Buying T

                    Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, gender identity/expression, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                    ",,http://jobs.jobvite.com/clearpath/job/o4dRlfwd,feed-importer@jobboard.io,,,,2023-05-16T16:20:07.002Z,False,0,1,21,https://talenthub.vectorinstitute.ai/jobs/219397729-senior-autonomy-developer-perception-calibration-at-clearpath,,expired,2023-04-27T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Manufacturing ,Senior Level,Masters Degree,New Posting, +19886bdb-587c-4402-9b78-d820d2aeb9aa,234341252,Multiverse Computing,Tensor Network Engineer Intern,hybrid,"Toronto, ON, Canada",2023-06-09T14:44:48.159Z,"

                    This is a 8 month internship programme funded partly through the Mitacs program
                    Salary budget for eight month is 20,000 CAD

                    This position is based in Toronto, Canada and we work in Hybrid work environment requires 3 days a week from the office and up to 2 from home. Please apply if it works for you.

                    As Tensor Network Engineer Intern, you will

                    +
                      +
                    • Join a world-class team of Quantum experts with an extensive track record in both academia and industry.
                    • +
                    • Work with real world-wide customers across several industries.
                    • +
                    • Collaborate closely with the founding team in a fast-paced startup environment.
                    • +
                    • Implementations, Improvements/Optimisation
                    • +
                    +
                    YOUR PROFILE
                    +

                    Required Qualifications

                    +
                      +
                    • +Masters or PHD degree in Quantum Physics, Mathematics or related field or completing the same by Dec 2023.
                    • +
                    • Demonstrated knowledge and experience with Tensor Network numerical simulation methods, with a focus on machine learning and optimization
                    • +
                    • Python programming language
                    • +
                    • Strong basis in linear algebra and expertise in math for quantum computing and tensor algebraic methods.
                    • +
                    • Familiarity with Tensor Network libraries and/or relevant functions (ncon, cuTensorNet, TeNPy, Uni10, ITensor, TNT, or others).
                    • +
                    • Ability to work with a diverse team of people, both in-person and through online resources
                    • +
                    • Perfect command of English language
                    • +
                    +


                    Preferred Qualifications

                    +
                    • Deep learning experience (tensorflow/pytorch)
                    +
                    WHY US?
                    +

                    Perks & Benefits

                    +
                      +
                    • A mix of remote and office work.
                    • +
                    • Flexible working hours.
                    • +
                    • Equal Pay
                    • +
                    • Working in a high paced environment, working on cutting edge technologies.
                    • +
                    • Career plan. Opportunity to learn and teach.
                    • +
                    • Progressive Company. Happy people culture.
                    • +
                    +

                    Apply for this position

                    +
                    ABOUT US
                    +

                    Multiverse Computing is a well-funded and fast growing deep-tech company founded in 2019. We are one of the few companies working with Quantum Computing and the biggest Quantum Software company in the EU. The headquarters are in Spain with additional offices in Canada, France and Germany.
                    We provide hyper-efficient software to companies wanting to gain an edge with quantum computing and artificial intelligence. Our product, Singularity, is a software as a service platform that contains quantum and quantum-inspired algorithms developed and patented through proof-of-concept trials we have been performing for industrial and service clients. We work in finance, energy, manufacturing, cybersecurity and many more industries.
                    You will be working alongside world leading experts to build solutions that tackle real life issues. We look for passionate people that want to grow in an ethics driven environment, promoting sustainability and diversity. We aim to continue building our truly inclusive culture - come and join us!

                    ",sonika.trehon@multiversecomputing.com,,sonika.trehon@multiversecomputing.com,https://multiversecomputing.com/,,,2023-07-12T19:03:06.980Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/234341252-tensor-network-engineer-intern-at-multiverse-computing,,expired,2023-06-09T14:44:00.000Z,website,Scaling (20-499),Vector Quick Apply,"Financial Services, Software, Technology (Product Development)",Internship/Co-op,Masters Degree,New Posting, 0459e442-a75f-4240-b2e5-cf7ee8898137,189568970,Scotiabank,Manager Customer Management Analytics (18 Month Contract),on_site,Canada : Ontario : Toronto,2023-01-23T17:22:02.704Z,"

                    @@ -178732,83 +186738,528 @@ da907164-de97-481e-9203-f13214df6628,218283874,BenchSci,"Senior Software Enginee

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    -
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Modelling---Analytics_R220031603?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-05-27T17:49:02.675Z,False,0,3,10,https://talenthub.vectorinstitute.ai/jobs/219387740-manager-credit-risk-modelling-analytics-at-bmo-financial-group,,expired,2023-04-27T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -da907164-de97-481e-9203-f13214df6628,218283874,BenchSci,"Senior Software Engineer, Data",full,"Toronto, Ontario Remote",2023-04-24T17:39:02.978Z,"
                    -
                    We are looking for a Senior Software Engineer to join our growing Machine Learning team! Reporting to the Engineering Manager, you will evolve our data models, operationalize production-grade data pipelines, and contribute to our document mining/information retrieval initiatives as we expand our ability to extract valuable insights from scientific publications and databases. You will be a part of the BenchSci Machine Learning team, working with a group of passionate engineers as you help shape the future of scientific discovery and progress.
                    -

                    -
                    BenchSci is a remote first organization. At this moment, we are welcoming applicants from Canada, the US and the UK for this position.
                    -

                    -
                    -
                    -

                    You Will:

                    -
                        -
                      • Scale data pipelines to allow our data to go from research to platform as fast as possible
                      • -
                      • Collaborate with ML and Data engineers to solve complex document mining challenges, helping us capture and model additional scientific experiments
                      • -
                      • Develop data access mechanisms for downstream applications usage
                      • -
                      • Expand the types of biological reagents and experiments that we can extract from several types of media
                      • -
                      • Manage sources that contain both semi-structured and unstructured data
                      • -
                      • Apply data processing engines to process our data sets
                      • -
                      • Employ best practices for a broad platform of technologies within a cloud-based environment
                      • -
                      • Provide troubleshooting analysis and resolution promptly
                      • -
                      • Work on projects involving some of the largest pharmaceutical companies in the world
                      • -
                      • Solve difficult problems and bring new perspectives to the team
                      • -
                      • Have opportunities to work both independently and in pair-programming settings
                      • -
                    -
                    -
                    -

                    You Have:

                    -
                        -
                      • 5+ years of experience working as a professional developer
                      • -
                      • Expertise with Python and SQL
                      • -
                      • Experience with cloud reference architectures and developing specialized stacks on cloud services
                      • -
                      • Experience with data processing engines (we use Beam)
                      • -
                      • A background in data structures and large-scale data manipulation
                      • -
                      • Familiarity with information retrieval theory and practical applications of it
                      • -
                    -
                    -
                    -

                    Nice to Have, but not Mandatory

                    -
                        -
                      • Work or academic experience in the life sciences
                      • -
                      • Experience with Kubernetes in production
                      • -
                      • Experience with Infrastructure-as-code
                      • -
                      • Experience with technical design and applying architectural patterns
                      • -
                      • Experience with statistical analysis of large datasets
                      • -
                      • Machine learning fundamentals and ML Ops knowledge
                      • -
                    -
                    -
                    -

                    -

                    -
                    Benefits and Perks:
                    -
                    An engaging remote-first culture
                    -
                    A great compensation package that includes BenchSci equity options
                    -
                    15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
                    -
                    Unlimited flex time for sick days, personal days, religious holidays
                    -
                    Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
                    -
                    A $2000 CAD* Annual Learning & Development budget
                    -
                    A $1000 CAD* home office set-up budget
                    -
                    A $2500 CAD*wellness, lifestyle and productivity spending account for employees
                    -
                    Generous parental leave benefits with a top-up plan or paid time off options
                    -
                    *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.
                    -

                    -
                    About BenchSci:
                    -
                    BenchSci's vision is to help scientists bring novel medicine to patients 50% faster by 2025. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                    -
                    Backed by F-Prime, Inovia, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                    -

                    -
                    Our Culture:
                    -
                    BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                    -
                    We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                    -
                    You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
                    -

                    -
                    -Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
                    -

                    -
                    -Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
                    -

                    -
                    #LI-Remote
                    -
                    ",,https://jobs.lever.co/benchsci/3ca182d9-7956-4b9e-90a8-cd6ec9ef586c?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-05-24T19:55:30.950Z,False,0,2,21,https://talenthub.vectorinstitute.ai/jobs/218283874-senior-software-engineer-data-at-benchsci,https://jobs.lever.co/benchsci/3ca182d9-7956-4b9e-90a8-cd6ec9ef586c,expired,2023-04-24T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Mid-Senior Level,No Degree,New Posting, +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Modelling---Analytics_R220031603?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-05-27T17:49:02.675Z,False,0,3,10,https://talenthub.vectorinstitute.ai/jobs/219387740-manager-credit-risk-modelling-analytics-at-bmo-financial-group,,expired,2023-04-27T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +d855d8c3-1668-4a41-aa32-c0f459d94e2f,226183487,RBC,"Manager, Program Governance",on_site,"Toronto, ON, Canada",2023-05-16T15:47:02.763Z,"
                    +

                    Come Work with Us!

                    At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                    Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                    +

                    Job Title

                    Manager, Program Governance

                    +

                    +

                    Job Description

                    +

                    What is the opportunity?

                    +

                    +

                    As a Manager, Program Governance, you will support the delivery of analytical insights for Global Finance IT and build interactive and intuitive dashboards to model data. This role will also be responsible for the oversight of project management tools to ensure appropriate IT cost recovery to various lines of businesses. You will report on various key performance indicators to Senior Management related to financial health and resource capacity trends. In addition, you will work intimately with project managers to leverage best practices on project expenditure management.

                    +

                    +

                    What will you do?

                    +
                      +
                    • Provide administration for Finance IT’s project management tools (Planview/MIS) for Finance IT’s development and maintenance portfolio of $100mm+, including the creation/upkeep/closure of projects, population of key data attributes, and ensuring proper cost recovery of all IT personnel
                    • +
                    • Support project managers and delivery leads in administering project management tools and managing all aspects of financials (monitoring of actuals vs plan, forecasting, processing of invoices)
                    • +
                    • Reconcile contractor cost recoveries in Planview/MIS to professional fee accrual during month-end at the contract and resource level
                    • +
                    • Support executive and portfolio level financial/KPI reporting
                    • +
                    • Automate existing reporting and enhance data visualization/analytics through various productivity tools (Tableau, VBA, etc); develop new automated solutions to improve productivity and efficiency
                    • +
                    • Maintain a healthy, accurate financial control environment within the Finance IT Business Management Office, reinforcing our role as the source of financial truth (App Dev, Maintenance, 3rd Party, NIE, etc)
                    • +
                    • Monitoring and communicating key performance metrics and operational challenges
                    • +
                    • Implement change management as required for new implementations and enhancements for project management tools
                    • +
                    +

                    +

                    What do you need to succeed?

                    +

                    Must-have:

                    +
                      +
                    • Bachelor’s degree, with a focus in finance, accounting, computer science, business or mathematics.
                    • +
                    • Experience in a financial control environment
                    • +
                    • Data analytics and reporting experience on large data sets and multiple sources
                    • +
                    • Advanced command of Microsoft Excel, Word, Powerpoint, and data visualization tools
                    • +
                    • Basic financial services and accounting knowledge
                    • +
                    +

                    +

                    Nice-to-have

                    +

                    Notes:

                    +
                      +
                    • Previous experience with Tableau, SQL, Planview
                    • +
                    • Experience in an IT delivery team with a focus on project management, and the systems development lifecycle
                    • +
                    • CPA, PMP, MBA designation(s)
                    • +
                    +

                    +

                    +

                    What’s in it for you?

                    +

                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                    +

                    +
                      +
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                    • +
                    • Leaders who support your development through coaching and managing opportunities
                    • +
                    • Ability to make a difference and lasting impact
                    • +
                    • Work in a dynamic, collaborative, progressive, and high-performing team
                    • +
                    • A world-class training program in financial services
                    • +
                    • Flexible work/life balance options
                    • +
                    • Opportunities to do challenging work
                    • +
                    • Opportunities to take on progressively greater accountabilities
                    • +
                    • Opportunities to building close relationships with clients
                    • +
                    • Access to a variety of job opportunities across business and geographies
                    • +
                    • #LI-HYBRID
                    • +
                    • #LI-POST
                    • +
                    +

                    +

                    +

                    +

                    +

                    Job Summary

                    +

                    Address:

                    TORONTO, Ontario, Canada

                    City:

                    CAN-ON-TORONTO

                    Country:

                    Canada

                    Work hours/week:

                    37.5

                    Employment Type:

                    Full time

                    Platform:

                    Technology and Operations

                    Job Type:

                    Regular

                    Pay Type:

                    Salaried

                    Posted Date:

                    2023-04-17

                    Application Deadline:

                    2023-05-26
                    +

                    Inclusion and Equal Opportunity Employment

                    +

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    +
                    +

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                    +
                    ",,https://jobs.rbc.com/ca/en/job/R-0000056547/Manager-Program-Governance,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-05-29T15:52:02.152Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/226183487-manager-program-governance-at-rbc,,expired,2023-05-16T15:47:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +5943edf6-cc7e-43b5-81d8-22f287a1bd3f,226183486,RBC,"Associate Director, Risk Measurement and Analytics",on_site,"Toronto, ON, Canada",2023-05-16T15:47:02.684Z,"
                    +

                    Come Work with Us!

                    At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                    Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                    +

                    Job Title

                    Associate Director, Risk Measurement and Analytics

                    +

                    +

                    Job Description

                    +

                    +

                    What is the Opportunity?

                    +

                    +

                    This is a lead risk measurement and analytics role in the areas of loan loss provisions, stress testing and ICAAP within Group Risk Management Caribbean Banking. Your primary responsibility is to ensure the analytics and production processes in these areas are appropriate, correct and executed on-time; so that management, auditors, and regulators receive accurate and complete information/analysis. Compliance with IFRS-9 accounting standards and internal policies is required.

                    +

                    +

                    As a risk measurement and credit analytics expert, this role assists senior management in the understanding of impaired loans, losses, and risks in the credit portfolio. This position is located in Toronto, Ontario and is part of the GRM Caribbean Banking.

                    +

                    +

                    What will you do?

                    +
                      +
                    • This is a lead role in the Risk Measurement and Analytics team, covering the areas of IFRS-9 loan loss provisions, ICAAP and stress testing.
                    • +
                    • Responsible for the production environment (currently SAS engine) that is used for the calculation of the IFRS-9 allowance for impaired and performing loans, including implementation of models and working on the design, implementation and testing of quantitative approaches for model overlays.
                    • +
                    • Work collaboratively with the broader Risk Measurement team in the development of models, overlays, analytical capabilities, data systems, testing exercises and other activities needed to support activities conducted by the Risk Measurement and Stress Testing Analytics team.
                    • +
                    • Responsible for the development and execution of the ICAAP frameworks, including development of analytical approaches, reports, and submissions to regional Boards and regulators.
                    • +
                    • Responsible for the development and execution of the stress testing framework of GRM Caribbean Banking; including analytics and reports. Set proper linkages to enterprise for the purpose of Enterprise Wide Stress Testing exercises.
                    • +
                    • Responsible for generating and preparing material for the Allowance Committee presentation deck and financial reporting; including sharing context, insights on the portfolio, and working with the Chair of the Allowance Committee in presenting the material to committee members.
                    • +
                    • Design and Implement controls around IFRS-9 measurement activities.
                    • +
                    • Support the automation of reporting capabilities across GRM Caribbean Banking; including the process used for financial reporting, delinquency and regulatory reports; as required.
                    • +
                    +

                    +

                    What do you need to succeed?

                    +

                    Must-have:

                    +
                      +
                    • 3+ years of analytical experience with a financial institution. Other industry experience will be considered based on applicability
                    • +
                    • Graduate degree in a quantitative discipline such as economics, econometrics, finance, statistics, mathematics, physics, engineering and/or a relevant professional qualification, with concentration in quantitative methods
                    • +
                    • Strong conceptual, analytical, and problem solving skills. Ability to manage complex and challenging processes
                    • +
                    • Knowledge of at least two statistical/numerical software programs which must include either Python and/or SAS. Other software can include R, Matlab, STATA, E-Views (among others).
                    • +
                    • Knowledge of databases structure and management (SQL, SAS, etc.)
                    • +
                    • Knowledge on credit risk methodology
                    • +
                    +

                    +

                    Nice-to-have:

                    +
                      +
                    • Knowledge in the areas of stress testing, predictive models and probability distributions, macroeconomics, and international finance is an asset
                    • +
                    • Exposure to more than one of the following risk methodology areas: capital markets and trading, credit risk, structural interest rate risk, liquidity risk, and Basel capital measures
                    • +
                    • Familiarity with RBC’s existing data and infrastructure is preferred, though not required
                    • +
                    +

                    +

                    What’s in it for you?

                    +

                    +

                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                    +
                      +
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation
                    • +
                    • Leaders who support your development through coaching and managing opportunities
                    • +
                    • Work in a dynamic, collaborative, progressive, and high-performing team
                    • +
                    • Opportunities to do challenging work
                    • +
                    +

                    +

                    +

                    Job Summary

                    Monitors market risk and implements risk management systems and processes to minimize any risk to the market. Applies extensive, in-depth knowledge, skills, and practices to perform complex assignments.

                    Address:

                    TORONTO, Ontario, Canada

                    City:

                    CAN-ON-TORONTO

                    Country:

                    Canada

                    Work hours/week:

                    37.5

                    Employment Type:

                    Full time

                    Platform:

                    Group Risk Management

                    Job Type:

                    Regular

                    Pay Type:

                    Salaried

                    Posted Date:

                    2023-05-11

                    Application Deadline:

                    2023-05-27
                    +

                    Inclusion and Equal Opportunity Employment

                    +

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    +
                    +

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                    +
                    ",,https://jobs.rbc.com/ca/en/job/R-0000059432/Associate-Director-Risk-Measurement-and-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-05-29T15:52:02.152Z,False,0,3,6,https://talenthub.vectorinstitute.ai/jobs/226183486-associate-director-risk-measurement-and-analytics-at-rbc,,expired,2023-05-16T15:47:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, +b8cf1c0f-e437-472d-8c52-f58fe2cbb848,221079995,Avidbots,Software Developer - Machine Learning Platform,on_site,"Ontario, Canada",2023-05-01T17:42:02.572Z,"
                    +

                    About Avidbots:

                    +

                    At Avidbots, we believe in solving real world problems with autonomous cleaning robotic solutions to unlock humanity’s potential. Neo is our current ground-breaking autonomous floor scrubbing robot that enhances facility cleanliness around the world empowering reallocation of human capital to higher priority focuses…and we’re just getting started!

                    Headquartered in Kitchener, ON, Canada, we are an employee-focused organization that has been certified a Great Place to Work® consecutively for the last 4 years and one of Deloitte\'s Fast 500 (2021).

                    +

                    Now is your opportunity to join a fast-growing technology company built on teamwork, innovation, and boundless ambition! Take a look at what Neo can do!

                    +

                    +

                    About the role:

                    +

                    The Machine Learning Platform (MLP) team is responsible for developing systems and tools that enable the development and deployment of machine learning solutions to a large fleet of autonomous robots around the world. This includes supporting all stages of the machine learning lifecycle, from data acquisition and transformation, to deployment and monitoring, and collaborating with other teams on model development and training.

                    +

                    You will join a small team with the opportunity to have a large impact on the technical decisions and development of large-scale machine learning initiatives that will shape the next-generation of commercial robotics.

                    +

                    +

                    How you will make a difference:

                    +
                      +
                    • Design, develop, and test data transformation pipelines operating on large amounts of structured and unstructured data.
                    • +
                    • Deploy and maintain scalable cloud infrastructure that support machine learning and data engineering workloads.
                    • +
                    • Collaborate with members of various functional teams to scope, explore, prototype, and implement solutions.
                    • +
                    +

                    +

                    Required Skills & Experience:

                    +
                      +
                    • BE / B.Tech or higher degree in Computer Science / Engineering or equivalent
                    • +
                    • 5+ years of professional software development experience (Python, C++ preferred)
                    • +
                    • Experience building large-scale data transformation pipelines with technologies such as Apache Spark, Amazon S3, Dagster, and Airflow
                    • +
                    • Hands-on experience designing scalable infrastructure for machine learning applications
                    • +
                    • Experience with cloud services such as Amazon Web Services, and familiarity with tools such as Docker, Kubernetes, and Terraform
                    • +
                    • Knowledge of best practices in modern software development, such as git
                    • +
                    • Proficiency with Linux-based operating systems
                    • +
                    +

                    +

                    Nice to Have:

                    +
                      +
                    • Experience with Robot Operating System (ROS)
                    • +
                    • Experience working with a global team
                    • +
                    +

                    +

                    Avidbots is an equal opportunity employer committed to building a diverse workforce. As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. We offer a professional working environment and culture and believe that work/life balance is critical to ensure the happiness/well-being of our people.

                    +

                    +

                    Upon request, Avidbots will provide reasonable accommodation for applicants with disabilities throughout the recruitment and selection process

                    +

                    +

                    #INDAV

                    +
                    ",,https://avidbots.bamboohr.com/careers/659,feed-importer@jobboard.io,,,,2023-05-31T20:37:29.345Z,False,0,10,88,https://talenthub.vectorinstitute.ai/jobs/221079995-software-developer-machine-learning-platform-at-avidbots,,expired,2023-05-01T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Mid-Senior Level,Bachelors Degree,New Posting, +b9c9e643-e5a8-4d10-b76a-c857388daeee,220631441,TD Bank Group,Senior Business Insights Analyst,on_site,"Markham, ON",2023-04-30T17:24:02.558Z,"
                    +

                    Company Overview

                    +
                    +

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    +

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    +
                    +

                    +

                    Department Overview

                    +
                    +

                    We can’t afford to be boring. Neither can you. The scale and scope of what TD does may surprise you. The rapid pace of change makes it a business imperative for us to be smart and open-minded in the way we think about strategy. TD’s strategy and business teams become more intertwined as new opportunities present themselves. This new era in banking does not equal boring. Not at TD, Not at Risk, Not at Fraud strategy, anyway.

                    +

                    The Enterprise Protect is an enterprise-level body that strives to protect TD Bank Group customers, shareholders and employees from financial crimes and fraud. Aligned with TD strategy and risk appetite, Enterprise Protect develops and evolves enterprise policies, advanced analytics capabilities and operational processes to improve governance, oversight, and collaboration between fraud management and other control functions within the Bank.

                    +

                    The Canadian Performance Management (CPM) team operates within Enterprise Protect in a fast-paced environment requiring both strategic and tactical responses to changing fraud patterns and provides a unique opportunity to apply critical thinking and leadership skills in an innovation centric environment.

                    +
                    +

                    +

                    Job Description

                    +
                    +

                    This role will be responsible for developing, implementing and monitoring strategies to manage evolving fraud trends, taking into consideration TD’s risk appetite and customer and operational experience. The Strategist should display a deep fraud and process expertise, and to leverage that knowledge to:

                    +
                      +
                    • anticipate and explain potential fraud risks associated with strategic initiatives across TD
                    • +
                    • help design policy, process or strategic changes to enable the bank to safely deliver its strategic roadmap
                    • +
                    • provide deep fraud and process expertise into solving larger, Fraud-driven strategic initiatives
                    • +
                    • identify emerging fraud trends and develop defenses against emerging and in-market fraud trends
                    • +
                    • understand and actively managing the operational impacts of our fraud defense strategies
                    • +
                    +

                    The successful candidate will work collaboratively with a diverse team of operational agents, Fraud solution developers, data scientists, business insights analysts and subject matter experts and applies fraud business expertise leveraging advanced tools and detection systems to manage risk appropriately. The incumbent will be accountable for loss and customer experience targets.

                    +

                    Accountabilities:

                    +

                    Fraud Management

                    +
                      +
                    • Accountable for fraud loss targets and the customer experience
                    • +
                    • Reviews daily fraud attacks to create segmentation and develop/implement fraud strategies while balancing the impact to the operational teams and customer experience
                    • +
                    • Strategizes on adjustments to shifting network rules, liability requirements or other exogenous factors
                    • +
                    • Owns the strategy design and configuration in all fraud prevention platforms (e.g. Falcon, TSYS, FIS, SQN, PRM, Citadel, DPS, VCas, Avant, Experian, Transunion), in alignment with the Change Management protocols
                    • +
                    • Supports case valuation and prioritization to optimize fraud management
                    • +
                    • Are a subject matter expert on the end-to-end operational process, transaction liability and regulatory requirements
                    • +
                    • Provide ad-hoc analysis to support decision-making at the executive level
                    • +
                    • Design champion / challenger strategies that lead to ongoing learning and improvement
                    • +
                    • Expected to leverage that subject matter expertise to independently investigate new, high-risk exposures under very tight timelines
                    • +
                    • Produce timely diagnostics to identify system, strategy and operational issues
                    • +
                    • Participates in defect analysis to identify and remediate coverage gaps
                    • +
                    • Provides end to end fraud cycle support to all strategy teams for advanced technical builds and consultation for continuous improvement
                    • +
                    • Identify, track, and provide solutions to ongoing fraud vectors and cross-portfolio threats
                    • +
                    • Think forward and provide early gap mitigation to emerging threat vectors globally
                    • +
                    +

                    Partner Support

                    +
                      +
                    • Works with business partners to understand new intent, and to identify the incremental fraud risks associated with that intent
                    • +
                    • Collaborates with business partners to develop solutions that minimize fraud risk while enabling business partners to achieve bank strategic priorities
                    • +
                    • Occasionally provides IT release support to ensure projects reliably deliver on fraud requirements
                    • +
                    • Support the continuous improvement agenda for our operational partners
                    • +
                    • Maintain strong relationships with internal stakeholders such as Fraud Operations, Internal Business Partners, Vendor Managers etc.
                    • +
                    • Act as a subject matter expert and represents the team or bank at project meetings or industry forums
                    • +
                    +
                    +

                    +

                    Requirements

                    +
                    +
                    +
                      +
                    • Undergraduate degree from a technical domain (e.g. finance, engineering, mathematics/statistics computer science), preferably from a STEM program
                    • +
                    • 2+ years’ experience in an analytical capacity
                    • +
                    • Experience using analytical software tools such as Python, R, SQL, Tableau and Excel for data analysis, automation, and reporting
                    • +
                    • In-depth knowledge of data science tools such as NumPy, pandas, matplotlib, scikit-learn/TensorFlow/Keras or equivalent
                    • +
                    • Understanding of machine learning methods with experience in deployment and implementation
                    • +
                    • Experience with automation tools and proven implementation record
                    • +
                    • Ability to quickly and independently structure and deliver on new problems not previous tackled by the bank
                    • +
                    • Demonstrated analytical, modeling and problem solving skills
                    • +
                    • Creative, Critical, Conceptual thinker, ability to wade through data and arrive at conclusions
                    • +
                    • Ability to communicate strategy analysis to both technical and non-technical team members, either verbally or via documentation
                    • +
                    • Ability to take initiative and work independently under tight timelines
                    • +
                    +
                      +
                    • Ability to work collaboratively and build relationships
                    • +
                    • Ability to effectively manage multiple projects and priorities simultaneously
                    • +
                    +
                    • Motivated to constantly strive to find innovative ways to enhance capabilities
                    +

                    Preferable

                    +
                      +
                    • Experience in fraud management is an asset
                    • +
                    • Knowledge of machine learning is an asset
                    • +
                    • Automation experience is an asset
                    • +
                    • Knowledge of fraud detection platforms is an asset
                    • +
                    • Agile experience is an asset
                    • +
                    +
                    +

                    +

                    Additional Information

                    +
                    #tdcybersecurity #LI-Post
                    +

                    +

                    Hours

                    +
                    37.5
                    +

                    +

                    Inclusiveness

                    +

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    +

                    +
                    ",,https://jobs.td.com/en-CA/jobs/18031712/senior-business-insights-analyst-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-31T19:32:30.268Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/220631441-senior-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18031712/senior-business-insights-analyst-markham-ca/,expired,2023-04-30T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +cb85b63a-13a7-4f23-9650-937b16a69ff7,220629298,BMO Financial Group,"Manager, Modelling & Analytics",on_site,"Ontario, Canada",2023-04-30T17:12:02.254Z,"
                    +

                    Address:

                    100 King Street West

                    +

                    +

                    Job Family Group:

                    Data Analytics & Reporting

                    +

                    +

                    +

                    +

                    Supports the research and development of quantitative risk modeling methodologies and related strategies in support of the management of risks arising from business/group portfolios and products. Applies knowledge of analytics algorithms and technologies to develop forward looking models and analytic solutions that ensure risks are properly identified, understood and risk related strategies are enabled. Summarizes statistical findings, draws business conclusions, and presents actionable business recommendations used in the management of risks and related activities e.g. associated internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations. Drives innovation through the development of data products that can be leveraged across the organization and establishes best practices as well influences data governance guidelines and policies. May specialize in one or more risk categories e.g. Credit Risk, Market Risk, Interest Rate Risk, etc.

                    +
                      +
                    • Acts as a trusted advisor to assigned business/group.
                    • +
                    • Influences and negotiates to achieve business objectives.
                    • +
                    • Recommends and implements solutions based on analysis of issues and implications for the business.
                    • +
                    • Assists in the development of strategic plans.
                    • +
                    • Identifies emerging issues and trends to inform decision-making.
                    • +
                    • Supports the execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • +
                    • Helps determine business priorities and best sequence for execution of business/group strategy.
                    • +
                    • Conducts independent analysis and assessment to resolve strategic issues.
                    • +
                    • Automates validation tests to improve quality and efficiency of the validation process.
                    • +
                    • Identifies emerging issues and trends to inform decision-making.
                    • +
                    • Builds effective relationships with internal/external stakeholders.
                    • +
                    • Ensures alignment between stakeholders.
                    • +
                    • Cleanses, manipulates, and transforms data through programming/scripting for model training and validation.
                    • +
                    • Conducts various pre-implementation and post-implementation analyses to estimate/measure business impact caused by model adoption (e.g., revenue increase, cost reduction, corporate brand image).
                    • +
                    • Provides input into the planning and implementation of operational programs.
                    • +
                    • Executes work to deliver timely, accurate, and efficient service.
                    • +
                    • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • +
                    • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                    • +
                    • Works with stakeholders to identify the business requirements, understand the distinct problems, and the expected outcome and models and frames business scenarios which impact critical business processes and/or decisions.
                    • +
                    • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
                    • +
                    • Applies scripting/programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                    • +
                    • Develops agreed analytical solution by applying suitable statistical techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, artificial intelligence) to test, verify, refine hypotheses.
                    • +
                    • Summarizes statistical findings and draws conclusions and presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                    • +
                    • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                    • +
                    • Performs experimental design approaches to validate finding or test hypotheses.
                    • +
                    • Uses the appropriate algorithms to discover patterns.
                    • +
                    • Builds effective relationships with internal/external stakeholders. Ensures alignment between stakeholders.
                    • +
                    • Supports development of tools and delivers training for data and analytics.
                    • +
                    • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • +
                    • Leads/participates in the design, implementation and management of core business/group processes.
                    • +
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                    • +
                    • Provides specialized consulting, analytical and technical support.
                    • +
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • +
                    • Works independently and regularly handles non-routine situations.
                    • +
                    • Broader work or accountabilities may be assigned as needed.

                      Qualifications:

                      +
                    • +
                    • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                    • +
                    • Data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS.
                    • +
                    • Relevant experience in risk, capital, and/or treasury management is preferred.
                    • +
                    • A professional designation in Finance or Risk management is preferred.
                    • +
                    • Post-secondary degree in Finance/Economics/Math required.
                    • +
                    • Professional designation in Finance or Risk management required.
                    • +
                    • Deep knowledge and technical proficiency gained through extensive education and business experience.
                    • +
                    • Verbal & written communication skills - In-depth.
                    • +
                    • Collaboration & team skills - In-depth.
                    • +
                    • Analytical and problem solving skills - In-depth.
                    • +
                    • Influence skills - In-depth.
                    • +
                    • Data driven decision making - In-depth.
                    • +
                    +

                    +

                    +

                    We’re here to help

                    +

                    +

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    +

                    +

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    +

                    +

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    +

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    +

                    +

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Modelling---Analytics_R220026982?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-05-31T19:25:54.801Z,False,0,3,15,https://talenthub.vectorinstitute.ai/jobs/220629298-manager-modelling-analytics-at-bmo-financial-group,,expired,2023-04-30T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +ed7a2834-5e22-4212-8608-a655cfe6d25c,230331899,Scotiabank,"Sr. Manager, Portfolio Insights & Customer Management (Data Analytics)",on_site,Canada : Ontario : Toronto,2023-05-29T15:52:03.819Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 175682

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    Purpose of Job:

                    +

                    +

                    The Senior Manager, BI and Portfolio Insights (GRM – CB Credit Risk) will monitor key risk performance of the Retail portfolio and contribute to the development and enhancement of business intelligence tools and provide practical insights to Risk teams as well as product and business line partners. This position plays a key role within the Retail Risk Department by using data, systems, research and analysis to identify portfolio, macro and market trends and opportunities across unique retail lending portfolios.

                    +

                    The role requires expert SAS/Python, data analytics and BI tools knowledge, as well as ability to optimize and maximize efficiency of existing processes. The incumbent will deliver judicious analysis to senior management while working with multiple stakeholders and partners to facilitate development of Risk-Reward opportunities. He/She will develop optimal analytical methodologies to assess the growth opportunities and monitor lifecycle results.

                    +

                    Excellent communication and written skills are required, complemented with analytical and problem-solving skills consistent with the ability to translate complex data points into board-level presentations to senior management.

                    +

                    +

                    Job Responsibilities:

                    +

                    +

                    +

                    Accountability 1: Credit Risk Portfolio Tracking

                    +
                    • Use a variety of Business Intelligence analytical and reporting tools (ex. SAS, Python, Tableau) to provide dynamic reporting on key performance metrics to various stakeholders in GRM and business lines. Lead new report creation and look for opportunities to optimize workstream.
                    • Provide practical insights and meaningful messages from the reporting to drive credit risk decisions. Able to tell a story by synthesizing vast amounts of data into coherent messages.
                    • Proactively provide judicious analysis that will assist in optimizing risk rewards ratios and grow the portfolios
                    • Collaborate with Strategy and Policy teams to provide measurement and reporting on judicious initiatives such as acquisition dynamics and quality, line optimization and collections effectiveness
                    • Analyze strategy effectiveness, leverage champion/challenger capabilities to confirm assumptions and recommend changes, identify if any credit risks are or will become in excess of the risk appetite framework and make recommendations on how to mitigate.
                    • +
                    +

                    +

                    Accountability 2: Customer Focus

                    +
                    • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                    • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                    • +
                    +

                    +

                    +

                    Accountability 3: Innovation

                    +
                    • Explore opportunities for using latest innovative/advanced analytics, score modeling and Business Intelligence tools to display portfolio dynamics, derive insights and streamline processes
                    • Aim to move from descriptive to prescriptive analytics by focusing on key drivers of portfolio risk and profitability
                    • +
                    +

                    +

                    Accountability 4: Risk Appetite Framework alignment

                    +
                    • Ensure all business line judicious priorities (i.e. life-cycle strategies, early warning triggers, provisioning, etc.) are consistent with Risk Appetite Framework. Recommend changes to business line strategies to ensure the Bank does not take on more credit risk than planned.
                    • Actively pursue effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                    • +
                    +

                    +

                    Job Requirements:

                    +

                    +
                    • University degree in relevant STEM discipline or similar (i.e. Economics, Statistics, Business, Data Science, Technology, Engineering, Mathematics)
                    • 3+ years analytical hands-on experience required
                    • Must be proficient with MS Office, SAS, SQL, Python, Power BI, Tableau
                    • Strong communication skills, prioritizing, planning and presenting to senior audiences.
                    • Project management and leadership skills to prioritize, manage and implement a variety of contesting initiatives, on a concurrent or staggered basis
                    • +
                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Sr_-Manager%2C-Portfolio-Insights-&-Customer-Management-%28Data-Analytics%29-ON-M5H1B6/568760817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-05T15:57:03.955Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/230331899-sr-manager-portfolio-insights-customer-management-data-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Sr_-Manager%2C-Portfolio-Insights-&-Customer-Management-%28Data-Analytics%29-ON-M5H1B6/568760817/,expired,2023-05-29T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +53ed302d-bd69-431b-a288-848f27b3c6a7,226985901,Sun Life Financial,Senior Data Engineer,on_site,"Ontario, Canada",2023-05-18T16:10:01.749Z,"
                    +

                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                    +

                    +

                    +

                    Job Description:

                    +

                    +

                    At Sun Life, we work together, share common values and encourage growth and achievement. We offer many career paths that attract a wide variety of talent and skills. Follow a path that lets your talents shine.

                    +

                    +

                    Role Summary:

                    +

                    +

                    The Client Experience Office (CXO) is an important pillar of Sun Life’s corporate strategy and as such, is seeking experienced data engineering individuals with a proven track record working with data consumers to extract meaningful insights from enterprise data. Senior Business data engineers play an indispensable role in assembling the necessary data products that fuel myriad of analytical models used by our various business units across Canada.

                    +

                    +

                    Reporting to the Manager of Data Engineering, the Senior Business Data Engineer will be a key member of Data Enablement Team responsible for building enriched data products that provide deep insights about our Client, Advisor, Product, Transactions along with their intricate relationships. The Senior Business Data Engineer will work with data analysts and data scientists to help answer complex business enquires such as identifying new business opportunities, understanding our client behavior and optimizing areas of our sales cycles.

                    +

                    +

                    What will you do?

                    +
                      +
                    • Obsessed with understanding our enterprise data and interpreting it in the best way possible to derive business value

                    • +
                    • Design and engineer data models that represent our key business entities such as our Advisor, Client & Product

                    • +
                    • Ensure high level of data quality and data integrity are maintained across data sources for business

                    • +
                    • Convert complex business and technical rules into logic for data flows and data pipelines

                    • +
                    • Work with our Data Science teams to implement data products for various use cases

                    • +
                    • Collaborate with stakeholders and incorporate into solution design for various use case requirements

                    • +
                    • Standardize metadata into a common glossary along with the necessary documentation for data consumers

                    • +
                    +

                    +

                    What do you need to succeed?

                    +
                      +
                    • 3-5 years hands-on experience working on AWS technologies for data processing and analytics

                    • +
                    • 2+ years experience with AWS Glue for ETL

                    • +
                    • 3 years experience in Pyspark and SQL

                    • +
                    • 5 years hands-on experience with relational database systems, relational models, dimensional models etc.

                    • +
                    • 3-5 years experience with engineering data products as input to various analytical models

                    • +
                    • 3-5 years building feedback loops between model deployment and its data – i.e. tune & tweak data products to achieve scale, optimization, etc.

                    • +
                    • Sound understanding of data management principles (data warehousing, data quality, master data management, etc.)

                    • +
                    • Sound understanding of data modelling and a passion for analytics

                    • +
                    • Proven track record in leveraging SQL and SQL-based programming to solve business problems

                    • +
                    • Ability to translate complex business requirements into a set of data ingestion pseudocode

                    • +
                    • Proven ability to leverage knowledge of data engineering to extract, conform and integrate a variety of operational data sources into pro‐duction-grade data products

                    • +
                    • Demonstrate blend of tenacity, creativity, and discipline required to develop ground breaking self-serve data models that data scientists can consume

                    • +
                    • Excellent verbal and written communication skills; have executive presence and proven ability to partner with Data Scientists to articulate insights gleaned from the model and the underlying data

                    • +
                    +

                    +

                    Education and Qualifications:

                    +
                      +
                    • Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent

                    • +
                    • Graduate degree in business or quantitative science strongly preferred

                    • +
                    +

                    +

                    Unique Requirements

                    +
                      +
                    • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

                    • +
                    • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                    • +
                    +

                    +

                    What would be nice to have?

                    +
                      +
                    • Understand and Embrace Agile Operating Model

                    • +
                    • Proven Experienced working as Product Owner in Scrum or Service Request Manager in Kanban projects

                    • +
                    • Experience working in a large financial services organization

                    • +
                    • Knowledge of fundamental statistical models & techniques

                    • +
                    +

                    +

                    What\'s In It For You?

                    +
                      +
                    • Great Place to Work® Certified in Canada and the US - 2022

                    • +
                    • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                    • +
                    • Named “Best Places to Work” by Glassdoor - 2021

                    • +
                    • Canada Award for Excellence for Mental Health at Work - 2021

                    • +
                    • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid, #LI-Remote

                    • +
                    • Competitive salary and bonus structure influenced by market range data

                    • +
                    • Pension, stock and savings programs to help build and enhance your future financial security

                    • +
                    • A friendly, collaborative, and inclusive culture

                    • +
                    • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

                    • +
                    • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                    • +
                    +

                    +

                    +

                    The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                    +

                    +

                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                    +

                    +

                    Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                    +

                    +

                    At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                    +

                    +

                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                    +

                    +

                    Salary Range:

                    74,100/74 100 - 120,800/120 800

                    +

                    Job Category:

                    Advanced Analytics

                    +

                    Posting End Date:

                    01/06/2023
                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Business-Data-Engineer_JR00076392-2?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-06-05T16:15:01.789Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/226985901-senior-data-engineer-at-sun-life-financial,,expired,2023-05-18T16:10:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +58d11226-c11a-40f5-ae0a-b019f7ab107d,229113008,CIBC,"Sr. Consultant, AML",on_site,"Ontario, Canada",2023-05-25T15:32:01.872Z,"
                    +

                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                    +

                    +

                    At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                    +

                    +

                    To learn more about CIBC, please visit CIBC.com

                    +

                    +

                    Job Description

                    +

                    +

                    +

                    What you’ll be doing

                    +

                    +

                    Reporting to the Senior Director, AML Business Effectiveness, the Senior Consultant, Business Effectiveness will be responsible for driving continuous improvement initiatives designed to increase transaction monitoring effectiveness and streamline transaction monitoring implementation and tuning processes for the Capital Markets portfolio. The Senior Consultant will lead strategic optimization initiatives, including the introduction of more advanced analytics methods to maximize reportable intelligence to regulators while minimizing resources deployment. The Senior Consultant will also analyze the impact of industry trends and regulatory briefs to money laundering and terrorist financing scenarios monitored. The Senior Consultant will work closely with the Retail Risk Management Analytics team, FIU team, Capital Markets Technology and Financial Crimes Technology to identify process gaps, understand root causes to issues and make recommendations to senior management to improve processes as required and project manage continuous improvement initiatives through to resolution. With a focus on data analytics and trend identification, the incumbent will identify AML/ATF risk exposures and develop and implement transaction monitoring risk mitigation initiatives across EAML. Further, the Senior Consultant will be responsible for providing business support to major transformation and remediation initiatives.

                    +

                    +

                    At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                    +

                    +

                    How you\'ll succeed

                    +
                      +
                    • Be an architect of the EAML program. Design and implement processes in order to achieve efficiency improvement to support the Enterprise AML mandate, through transformation and remediation projects.

                    • +
                    • Be an agent of change. You will be responsible for presenting recommendations to senior management on process improvements to support efficiency within the FIU including cost benefits and risk analysis. You will execute continuous improvement activities for the FIU, identifying, analyzing and tracking process and control gaps and inefficiencies impacting investigative activities.

                    • +
                    • Effective project management. Project manage the implementation of process and continuous improvement initiatives across EAML

                    • +
                    • Influence peers and senior management. Work with various support teams to ensure effective and timely implementation of continuous improvement initiatives including management of necessary change requests as appropriate. You will also represent the FIU in cross-functional projects, providing operational guidance and support in key transformational initiatives.

                    • +
                    • Be a subject matter expert. Support the ongoing development and training of the FIU teams by sharing your Capital Markets and AML expertise and experience.

                    • +
                    • Support our leaders. Coordinate and provide assistance to the EAML senior management and the Head, FIU on initiatives as required

                    • +
                    +

                    +

                    Who you are

                    +
                      +
                    • You have knowledge of AML regulations, practices and economic sanctions or similar knowledge and/or experience in Fraud, Strategy or related regulatory compliance. You have understanding of various lines of businesses, products, services, delivery channels and new technologies to understand and identify respective risks. You have the ability to translate business requirements to technical specifications for technology to implement.

                    • +
                    • You have knowledge of Capital Markets products or Correspondent Banking and the financial crimes risks.

                    • +
                    • You have a degree/diploma in Business, Accounting, Finance, Law, Computer Science, Engineering or related field and/or equivalent years of experience; Lean Six Sigma and ACAMS (Association of Certified Anti-Money Laundering Specialists) accreditations are nice to have.

                    • +
                    • You are a caring and accountable leader. You\'re passionate about developing and coaching to bring out the best in people. You have led diverse, high performing teams.

                    • +
                    • You are a problem solver. You possess solid judgment and problem-solving skills in order to provide input and advice to senior management for best compliance and risk management solutions.

                    • +
                    • You act like an owner. You thrive when you\'re empowered to take the lead, go above and beyond, and deliver results.

                    • +
                    • Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.

                    • +
                    • Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

                    • +
                    +

                    +

                    What CIBC offers

                    +

                    At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                    +
                      +
                    • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                    • +
                    • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                    • +
                    • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                    • +
                    +

                    +

                    What you need to know

                    +
                      +
                    • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                    • +
                    • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                    • +
                    +

                    +

                    +

                    +

                    +

                    +

                    Job Location

                    81 Bay Street, 1st Floor

                    Employment Type

                    Regular

                    +

                    Weekly Hours

                    37.5

                    Skills

                    +

                    Advanced Analytics, Anti-Money Laundering (AML), Capital Market Analysis, Capital Markets, Capital Markets Operations, Capital Markets Transactions, Python (Programming Language), SQL Databases, Structured Query Language (SQL)
                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Consultant--AML_2305452?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-06-08T15:42:02.469Z,False,0,2,20,https://talenthub.vectorinstitute.ai/jobs/229113008-sr-consultant-aml-at-cibc,,expired,2023-05-25T15:32:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +88632ac3-d83f-4d49-88bf-102762b59cfd,223596047,Cohere,Member of Technical Staff (Full-Time) & Data Quality Specialist (Part-Time),hybrid,"Toronto, ON, Canada",2023-05-08T17:45:49.553Z,"

                    Please note: Cohere is one of our participating employers in the upcoming Talent Meetup with Startups and Scaleups event hosted in a hybrid capacity on May 17, 2023, from 12.00-2.00 PM. Attending employers looking to meet and interview a captive audience of AI professionals who are actively seeking new opportunities now or by Fall 2023.

                    Cohere: Who are we?
                    We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learns to understand the meaning, sentiment, and intent of the words we use in a richness never seen before.

                    We've raised our Series B, signed a multi-year partnership with Google Cloud, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.

                    We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, and was previously part of Google Brain. Our entire technical team is world-class.

                    We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.

                    Open Opportunities:

                    1. Member of Technical Staff -Apply for this job here
                    2. Data Quality Specialist (Part-Time)- Apply for this job here

                    Our Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Free daily lunch 🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend✈️ 6 weeks of vacation
                    Cohere provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

                    ",,https://jobs.lever.co/cohere,aitalent@vectorinsitute.ai,https://cohere.ai/,,,2023-06-07T17:47:00.000Z,True,0,27,256,https://talenthub.vectorinstitute.ai/jobs/223596047-member-of-technical-staff-full-time-data-quality-specialist-part-time-at-cohere,,expired,2023-05-08T17:45:00.000Z,admin,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,Masters Degree,New Posting, a3de710f-5436-4226-913e-7f7d6061350f,232858097,Scotiabank,"Senior Manager, Counterparty Credit Risk Capital Analytics",on_site,Canada : Ontario : Toronto,2023-06-05T15:52:03.794Z,"

                    @@ -178831,67 +187282,6 @@ a3de710f-5436-4226-913e-7f7d6061350f,232858097,Scotiabank,"Senior Manager, Count

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Counterparty-Credit-Risk-Capital-Analytics-ON-M5H1H1/570750017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-15T15:57:04.299Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/232858097-senior-manager-counterparty-credit-risk-capital-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Counterparty-Credit-Risk-Capital-Analytics-ON-M5H1H1/570750017/,expired,2023-06-05T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -0da2c4f6-cccf-4612-b01d-e8bf6521cab2,226184349,EY,Manager- Banking Technology - Capital Markets (Data),on_site,Toronto,2023-05-16T16:01:02.033Z,"

                    Manager- Banking Technology - Capital Markets (Data)

                    -
                    Location: Toronto
                    -
                    Other locations: Primary Location Only
                    -
                    Date: May 10, 2023
                    -
                    At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
                    -
                    -

                    The Opportunity

                    -

                    -

                    We currently have career opportunities for Senior Consultants and Managers in our Canadian Capital Markets (CM) consulting team. Our team works to build a better world by transforming businesses through the potential of our people, technology, and innovation. Emerging technologies are transforming all lines of business and requires our customers to embrace these new technological capabilities and see them as new competitive advantages.

                    -

                    We work collaboratively with some of the top executives in financial institutions of all sizes and scales, helping them create and realize the best solutions for the future of their business. Each project is different, so you’ll need to be able to excel in ambiguous situations and confidently navigate ever-changing circumstances. We’ll look to you to be a self-starter, have the ability to translate complex information into simple terms, manage teams, and deliver long-term solutions with confidence. On this team, you’ll have the unique opportunity to imagine the future as well as create it, where you can craft ideas and implement them for our clients.

                    -

                    -

                    Your Key Responsibilities

                    -

                    -

                    As a part of the CM practice, you will advise clients and assist in solving Business and Technology problems in Capital Markets industry. You will provide clients with functional analysis, design, implementation, and technical program management support services.

                    -

                    -

                    You will support or lead the delivery of customer engagements, build customer relationships and lead team development. This will include generating new business opportunities by developing ideas and solutions to present to internal and external clients.

                    -

                    -

                    This will include assisting with performing analysis of business requirements, translating requirements into functional specifications, design of technical solutions and requirements for implementation by development teams. Assisting with feature design, business process decomposition, supporting technical system integration, configuration of systems, modernization, optimization, decommissioning and analysis of underlying front to back data requirements

                    -

                    -

                    You will also be able to support client technology organizations with front to back SDLC, provide hands-on support across one or multiple phases of the process and have experience with Technical Project Management and Agile ways of working.

                    -

                    -

                    Individually and as a member of EY team, you will converse with the with Capital Markets buy side and sell side technology, operations and business clients on traded products and the end-to-end trade lifecycle levels of AVP to Senior VP/Director. You will have the ability to understand business problems and advise on proposed technology solutions. Summarize and document technical discussions, translate technical decisions into business English language and communicate with client’s business stakeholders. Liaise between business and technology teams.

                    -

                    -

                    You will have the ability to effectively integrate with and leverage offshore development teams to scale and accelerate software delivery to meeting deadlines and close work

                    -

                    -

                    Skills and attributes for success

                    -
                    • Agile, growth-oriented mindsets. What you know matters. But the right mindset is just as important in determining success. We’re looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world. Experience in business development or delivering against financial targets in a service-oriented context is a plus
                    • High-performance tech leaders. A strong track record of management of large teams delivering strategic technology-enabled transformations and major digital implementations. Demonstrated team leadership experience in complex contexts, in addition to project management, advanced analytical and problem-solving skills
                    • Great communicators. Communication is key — we strive to bring our best interpersonal, written, and verbal communication skills, whether we’re writing an e-mail, building a proposal, drafting an architecture diagram, or cutting code.
                    • Curiosity and purpose. We’re looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world, and who are committed to integrity in every environment
                    • Integrity and inclusivity. We’re looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust
                    • -
                    -


                    -

                    To qualify for the role, you must have

                    -
                    • Capital Markets Business domain expertise. Intimate knowledge of the trading environment (front, middle, and back office), trading instruments (including derivatives and exotics across multiple asset classes), pricing, risk, and knowledge of the risk and regulatory issues within the Capital Markets businesses lines.
                    • Capital Markets Technology experience. Practical knowledge of the Capital Markets and investment division business and technical architecture and workflows. Experience with implementation of trading and risk platforms; especially with experience in Murex or Calypso.
                    • -Hands on experience with delivering technology solutions in Capital Markets industry across any of the following process areas:
                      • Transaction processing from pre-trade to settlement, transaction pricing, market risk, position / portfolio management, collateral management, client onboarding as well as risk and regulatory concepts
                      • Understanding of technology environments across Capital Markets; typical integration of key systems and platforms (trade capture, pricing, reference data, market data, etc.)
                      • Understanding of basic principles of financial data modeling; data shape, size, velocity of change
                      • Strong knowledge of transaction lifecycle across CM (FO-MO-BO)
                      • Strong knowledge of financial instruments and asset classes (e.g., fixed income, multi asset derivatives, equities, FX, commodities)
                      • Overall understanding of the front to back capital markets data value chain
                      • Excellent analytical skills with ability to systematically resolve technical problems
                      • Attention to detail, strong interpersonal skills, good communication across all levels of seniority in an organization
                    • -
                    -


                    Ideally, you’ll also have

                    -

                    -

                    Technical Skills (Technologies)

                    -
                    • Experience with technology implementation or support for core CM systems/ applications such as Murex and Calypso
                    • Deep understanding of the Murex and Calypso product suite, including its application across sell and buy side firms
                    • Advanced level of application implementation in modern programming languages C++, Java, Scala, Python, Node, or similar programming languages common in financial industry
                    • Strong understanding of computer science concepts including data structures, algorithm design, complexity, time, state
                    • Comfortable with object-oriented programming
                    • Experience working with RDF, JSON, XML and other standard data frameworks and standards
                    • Strong services-based implementation skills for building scalable, enterprise-grade solutions. SOAP, REST
                    • Experience with industry standard RDMS (e.g., MySQL, SQL Server, PostgresSQL) and No-SQL datastores
                    • Comfortable working with large data sets, complex objects, performing analysis, modelling and linage
                    • Demonstrated experience with DevOps technologies (requirements management, version control, automated unit testing, code reviews, build and deployment)
                    • Understanding business and functional requirements, translating into technical requirements, and designing solutions
                    • Experience in architecture and design of solutions based on functional requirements
                    • Experience with application integration, upgrade, decommissioning
                    • Experience building and deploying applications in cloud
                    • Leading development teams, agile pods
                    • Strong knowledge of SDLC, and agile methodologies; experience delivering solutions in an agile environment. Experience with TDD and pairing
                    • -
                    -


                    Desired Skills

                    -
                    • BSc/BA in Data Science/ Technology, Computer Science, Engineering, or a related field; MBA or other relevant graduate degree is a plus [5+ years work experience]
                    • SCRUM master and PMP certification is a plus
                    • Understanding of DLT, Cloud, AI/ML technologies and use cases in Capital Markets
                    • Knowledge of capital markets technology industry trends; knowledge of FinTech’s and their offerings
                    • Developing technology strategy, architecture principles, product roadmap
                    • -Comfortable interacting with business stakeholders and clients for the purposes of understanding of business problems and design of solutions
                    • -
                    -

                    What we look for

                    -


                    Successful candidates will have a leadership presence with a proven track record of sales and delivery in a management consulting context with established client relationships and experience in Canada.

                    -

                    -

                    What we offer

                    -


                    At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients, and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

                    -


                    We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial, and social well-being. Plus, we offer:

                    -
                    • Support and coaching from some of the most engaging colleagues in the industry
                    • Learning opportunities to develop new skills and progress your career
                    • The freedom and flexibility to handle your role in a way that’s right for you
                    • -
                    -


                    Diversity and Inclusion at EY

                    -

                    -

                    Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. From our actions to combat systemic racism and our advocacy for the LGBT+ community to our innovative Neurodiversity Centre of Excellence and Accessibility initiatives, we welcome and embrace the diverse experiences, abilities, backgrounds and perspectives that make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                    -
                    -
                    EY | Building a better working world
                    -
                    -
                    EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
                    -
                    -
                    Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
                    -
                    -
                    Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
                    ",,https://careers.ey.com/ey/job/Manager-Banking-Technology-Capital-Markets-%28Data%29/891753201/,feed-importer@jobboard.io,,,,2023-06-15T20:46:07.492Z,False,0,3,30,https://talenthub.vectorinstitute.ai/jobs/226184349-manager-banking-technology-capital-markets-data-at-ey,https://careers.ey.com/ey/job/Manager-Banking-Technology-Capital-Markets-%28Data%29/891753201/,expired,2023-05-16T16:01:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, 443ef02e-d2b7-4d15-aa92-a208bdbc0219,226184585,Roche,Senior Data Engineer / Tech Lead (AWS),on_site,"Ontario, Canada",2023-05-16T16:15:06.977Z,"

                    The Position

                    Location: Mississauga Pharma Campus

                    @@ -179066,6 +187456,67 @@ d8104fd1-17dc-4cd5-a4ca-8df615752b01,226184571,TELUS,Senior Machine Learning Eng
                    ",,https://careers.telus.com/job/Toronto-Senior-Machine-Learning-Engineering-Consultant-ON/568309817/,feed-importer@jobboard.io,,,,2023-06-15T21:39:13.089Z,False,0,10,36,https://talenthub.vectorinstitute.ai/jobs/226184571-senior-machine-learning-engineering-consultant-at-telus,,expired,2023-05-16T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, +0da2c4f6-cccf-4612-b01d-e8bf6521cab2,226184349,EY,Manager- Banking Technology - Capital Markets (Data),on_site,Toronto,2023-05-16T16:01:02.033Z,"

                    Manager- Banking Technology - Capital Markets (Data)

                    +
                    Location: Toronto
                    +
                    Other locations: Primary Location Only
                    +
                    Date: May 10, 2023
                    +
                    At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
                    +
                    +

                    The Opportunity

                    +

                    +

                    We currently have career opportunities for Senior Consultants and Managers in our Canadian Capital Markets (CM) consulting team. Our team works to build a better world by transforming businesses through the potential of our people, technology, and innovation. Emerging technologies are transforming all lines of business and requires our customers to embrace these new technological capabilities and see them as new competitive advantages.

                    +

                    We work collaboratively with some of the top executives in financial institutions of all sizes and scales, helping them create and realize the best solutions for the future of their business. Each project is different, so you’ll need to be able to excel in ambiguous situations and confidently navigate ever-changing circumstances. We’ll look to you to be a self-starter, have the ability to translate complex information into simple terms, manage teams, and deliver long-term solutions with confidence. On this team, you’ll have the unique opportunity to imagine the future as well as create it, where you can craft ideas and implement them for our clients.

                    +

                    +

                    Your Key Responsibilities

                    +

                    +

                    As a part of the CM practice, you will advise clients and assist in solving Business and Technology problems in Capital Markets industry. You will provide clients with functional analysis, design, implementation, and technical program management support services.

                    +

                    +

                    You will support or lead the delivery of customer engagements, build customer relationships and lead team development. This will include generating new business opportunities by developing ideas and solutions to present to internal and external clients.

                    +

                    +

                    This will include assisting with performing analysis of business requirements, translating requirements into functional specifications, design of technical solutions and requirements for implementation by development teams. Assisting with feature design, business process decomposition, supporting technical system integration, configuration of systems, modernization, optimization, decommissioning and analysis of underlying front to back data requirements

                    +

                    +

                    You will also be able to support client technology organizations with front to back SDLC, provide hands-on support across one or multiple phases of the process and have experience with Technical Project Management and Agile ways of working.

                    +

                    +

                    Individually and as a member of EY team, you will converse with the with Capital Markets buy side and sell side technology, operations and business clients on traded products and the end-to-end trade lifecycle levels of AVP to Senior VP/Director. You will have the ability to understand business problems and advise on proposed technology solutions. Summarize and document technical discussions, translate technical decisions into business English language and communicate with client’s business stakeholders. Liaise between business and technology teams.

                    +

                    +

                    You will have the ability to effectively integrate with and leverage offshore development teams to scale and accelerate software delivery to meeting deadlines and close work

                    +

                    +

                    Skills and attributes for success

                    +
                    • Agile, growth-oriented mindsets. What you know matters. But the right mindset is just as important in determining success. We’re looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world. Experience in business development or delivering against financial targets in a service-oriented context is a plus
                    • High-performance tech leaders. A strong track record of management of large teams delivering strategic technology-enabled transformations and major digital implementations. Demonstrated team leadership experience in complex contexts, in addition to project management, advanced analytical and problem-solving skills
                    • Great communicators. Communication is key — we strive to bring our best interpersonal, written, and verbal communication skills, whether we’re writing an e-mail, building a proposal, drafting an architecture diagram, or cutting code.
                    • Curiosity and purpose. We’re looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world, and who are committed to integrity in every environment
                    • Integrity and inclusivity. We’re looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust
                    • +
                    +


                    +

                    To qualify for the role, you must have

                    +
                    • Capital Markets Business domain expertise. Intimate knowledge of the trading environment (front, middle, and back office), trading instruments (including derivatives and exotics across multiple asset classes), pricing, risk, and knowledge of the risk and regulatory issues within the Capital Markets businesses lines.
                    • Capital Markets Technology experience. Practical knowledge of the Capital Markets and investment division business and technical architecture and workflows. Experience with implementation of trading and risk platforms; especially with experience in Murex or Calypso.
                    • +Hands on experience with delivering technology solutions in Capital Markets industry across any of the following process areas:
                      • Transaction processing from pre-trade to settlement, transaction pricing, market risk, position / portfolio management, collateral management, client onboarding as well as risk and regulatory concepts
                      • Understanding of technology environments across Capital Markets; typical integration of key systems and platforms (trade capture, pricing, reference data, market data, etc.)
                      • Understanding of basic principles of financial data modeling; data shape, size, velocity of change
                      • Strong knowledge of transaction lifecycle across CM (FO-MO-BO)
                      • Strong knowledge of financial instruments and asset classes (e.g., fixed income, multi asset derivatives, equities, FX, commodities)
                      • Overall understanding of the front to back capital markets data value chain
                      • Excellent analytical skills with ability to systematically resolve technical problems
                      • Attention to detail, strong interpersonal skills, good communication across all levels of seniority in an organization
                    • +
                    +


                    Ideally, you’ll also have

                    +

                    +

                    Technical Skills (Technologies)

                    +
                    • Experience with technology implementation or support for core CM systems/ applications such as Murex and Calypso
                    • Deep understanding of the Murex and Calypso product suite, including its application across sell and buy side firms
                    • Advanced level of application implementation in modern programming languages C++, Java, Scala, Python, Node, or similar programming languages common in financial industry
                    • Strong understanding of computer science concepts including data structures, algorithm design, complexity, time, state
                    • Comfortable with object-oriented programming
                    • Experience working with RDF, JSON, XML and other standard data frameworks and standards
                    • Strong services-based implementation skills for building scalable, enterprise-grade solutions. SOAP, REST
                    • Experience with industry standard RDMS (e.g., MySQL, SQL Server, PostgresSQL) and No-SQL datastores
                    • Comfortable working with large data sets, complex objects, performing analysis, modelling and linage
                    • Demonstrated experience with DevOps technologies (requirements management, version control, automated unit testing, code reviews, build and deployment)
                    • Understanding business and functional requirements, translating into technical requirements, and designing solutions
                    • Experience in architecture and design of solutions based on functional requirements
                    • Experience with application integration, upgrade, decommissioning
                    • Experience building and deploying applications in cloud
                    • Leading development teams, agile pods
                    • Strong knowledge of SDLC, and agile methodologies; experience delivering solutions in an agile environment. Experience with TDD and pairing
                    • +
                    +


                    Desired Skills

                    +
                    • BSc/BA in Data Science/ Technology, Computer Science, Engineering, or a related field; MBA or other relevant graduate degree is a plus [5+ years work experience]
                    • SCRUM master and PMP certification is a plus
                    • Understanding of DLT, Cloud, AI/ML technologies and use cases in Capital Markets
                    • Knowledge of capital markets technology industry trends; knowledge of FinTech’s and their offerings
                    • Developing technology strategy, architecture principles, product roadmap
                    • +Comfortable interacting with business stakeholders and clients for the purposes of understanding of business problems and design of solutions
                    • +
                    +

                    What we look for

                    +


                    Successful candidates will have a leadership presence with a proven track record of sales and delivery in a management consulting context with established client relationships and experience in Canada.

                    +

                    +

                    What we offer

                    +


                    At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients, and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

                    +


                    We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial, and social well-being. Plus, we offer:

                    +
                    • Support and coaching from some of the most engaging colleagues in the industry
                    • Learning opportunities to develop new skills and progress your career
                    • The freedom and flexibility to handle your role in a way that’s right for you
                    • +
                    +


                    Diversity and Inclusion at EY

                    +

                    +

                    Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. From our actions to combat systemic racism and our advocacy for the LGBT+ community to our innovative Neurodiversity Centre of Excellence and Accessibility initiatives, we welcome and embrace the diverse experiences, abilities, backgrounds and perspectives that make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                    +
                    +
                    EY | Building a better working world
                    +
                    +
                    EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
                    +
                    +
                    Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
                    +
                    +
                    Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
                    ",,https://careers.ey.com/ey/job/Manager-Banking-Technology-Capital-Markets-%28Data%29/891753201/,feed-importer@jobboard.io,,,,2023-06-15T20:46:07.492Z,False,0,3,30,https://talenthub.vectorinstitute.ai/jobs/226184349-manager-banking-technology-capital-markets-data-at-ey,https://careers.ey.com/ey/job/Manager-Banking-Technology-Capital-Markets-%28Data%29/891753201/,expired,2023-05-16T16:01:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, 897b2da7-6ae5-4736-aa66-00f8048d9ded,229115588,Clearpath,Staff Perception Developer - Localization and Mapping,on_site,"Ontario, Canada",2023-05-25T16:15:02.852Z,"

                    Description

                    Position: Staff Perception Developer - Localization and Mapping
                    Location: Kitchener, Ontario
                    Job Type: Full-Time Permanent
                    Experience: 5-10 Years Relevant Work Experience
                    Education: Graduate Degree in a related field
                    Division: OTTO Motors


                    About OTTO Motors, a division of Clearpath Robotics

                    @@ -179466,484 +187917,170 @@ da91ed67-59ae-48da-b1b8-c765c9d1dc27,233913062,Sun Life Financial,Senior Campaig
                    ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00152027_en&title=Industry+Analytics+Lead-+Retail%2fEnergy+Sector,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2023-06-22T19:55:00.000Z,False,0,2,29,https://talenthub.vectorinstitute.ai/jobs/227919521-industry-analytics-lead-retail-energy-sector-at-accenture,,expired,2023-05-21T15:56:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Team Lead,Bachelors Degree,New Posting, -1cf18947-fffb-4702-b109-de64ea5fe42c,229115220,Scotiabank,"Senior Manager, Account Management (Retail Credit Risk Strategy/Analytics)",on_site,Canada : Ontario : Toronto,2023-05-25T15:52:02.976Z,"

                    -

                    -

                    -

                    -

                    Requisition ID: 178381

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    -

                    Purpose of Job:

                    -

                    -

                    The mandate of this role is to lead the development of credit risk lending strategies for all retail products to optimize risk/return for Canadian Banking. The incumbent will utilize their analytical, data mining, statistical, credit risk management and leadership skills to achieve success in this role.

                    -

                    The incumbent will ensure all strategies across various stages of account management, provide appropriate reporting and analysis to:

                    -
                    • Lead the strategy development and processes for credit limit management, authorization, pricing, re-issue, reviews, OTB management, and overlimit
                    • Closely monitor performance to ensure each strategy decision area is delivering both optimal profitability and is aligned with the Bank’s Credit Risk Appetite
                    • Drive continuous improvement in strategy effectiveness with focus on incremental profitability
                    • Leverage Champion / Challenger capabilities wherever possible to confirm assumptions and justify changes
                    • Identify root cause, making recommendations to senior management (VP+) and implementing any recommended changes to any / all of customer management business strategies
                    • Work closely with business line partners to ensure customer management strategies, credit limits, authorization volumes, and marketing campaigns are within the Bank’s stated Risk Appetite.
                    • Recommend changes to business line strategies to ensure the Bank does not take on more credit risk than planned, including a forward-looking assessment to ensure it is within Risk Appetite
                    • Support the implementation of credit lending policies to ensuring consistency and adherence across different business units and channels
                    • Introduce changes under a test/control framework to help drive objective, evidence-based decisions that improve key performance metrics
                    • -
                    -

                    -

                    This position requires technical expertise including experience with risk technologies, portfolio management and behavior scoring to optimize strategies, policies, and business rules. As well as a deep understanding of credit bureau information and processes

                    -

                    -

                    Job Responsibilities:

                    -

                    -
                    • -All Customer Management Strategies (Line Management, Authorization, Overlimit, Pricing, Re-issue, Review)
                      • Design and develop portfolio segmentations for the purpose of optimization of sales/ profitability and credit risk using sophisticated data mining techniques. This includes identifying opportunities for better management of existing strategies and processes for credit limit, reissue, overlimit, pricing, and authorization
                      • Lead long term strategies that identify the need for risk technologies. Lead cross-functional project teams to implement. Ensure risk technologies are fully leveraged post-implementation
                      • Analyze and report regularly on performance of existing portfolio strategies deployed across Credit cards, Unsecured and Real Estate Secured Lines of Credit and Overdraft
                      • Make recommendations on improvement of existing strategies, procedures, and policies
                      • Promote best practices and leverage appropriate risk technologies for all strategy and policy changes
                    • -Portfolio and Strategy Monitoring
                      • Monitor, assess and evaluate various customer management strategies as well as overall portfolio performance. Through various dimensions of analysis, work closely with business partners to develop actionable tactical recommendations to enhance program effectiveness and profitability
                      • Evaluate the performance monthly of risk-related strategies and liaise with business partners to assess current/emerging trends and impact to portfolio
                      • Create a test and learn framework specific to portfolio strategies to identify future opportunities using applicable risk technologies, primarily TRIAD
                      • Identify if any credit risks are or will become more than the Risk Appetite Framework. Move quickly to rectify including identifying root cause, making recommendations to senior management, and implementing changes to portfolio and business line strategies
                    • -
                    -

                    -
                    • -Support Business Line Initiatives/Projects
                      • Work with GRM analytics, Canadian business, and product partners to ensure customer management strategies are developed using best practices including decision science and strategies follow divisional minimum standards
                      • Work with business line partners to ensure business strategies across customer management are consistent with the Risk Appetite Framework (a forward-looking, predetermined amount of credit and other risk that the Bank is willing to take)
                      • Identify opportunities and recommend changes to business line strategies to ensure the Bank does not take on more credit risk than planned
                    • -
                    -

                    -
                    • -Support TSYS Migration Project
                      • Provide ongoing support to the TSYS Migration project team on risk functions, ensure all necessary data and functions are available post migration
                    • -
                    -
                    • Redesign account management strategies where necessary to leverage the new functions available in TRIAD and TSYS
                    • -
                    -

                    -

                    Job Requirements:

                    -

                    -
                    • Bachelor’s degree or higher in Business or quantitative field such as Finance, Economics, Sciences, Math, Engineering or Computer Science
                    • 4-8 years of experience in an analytical role with 1-4 years of analytical experience in credit risk management, including statistical analysis and modeling, with proven track record of success in driving development and implementation of risk strategies or models in the financial sector
                    • Proficient in use of SAS, SQL, Python, R or other programming languages
                    • Experience in use of Tableau, Power BI, or other data visualization tools
                    • Strong business acumen with advanced understanding of retail banking credit products
                    • Strong communication and presentation skills complemented with solid problem-solving skills
                    • Growth mindset with intellectual curiosity, proactiveness and passion for continuous learning
                    • Solid interpersonal skills with ability to build strategic relationships and influence stakeholders
                    • Proficiency in credit risk strategy building and implementation
                    • Working knowledge of Angoss Knowledge Seeker, SAS Enterprise Miner/Viya or similar tools
                    • Experience with TRIAD/TSYS or other account management systems would be an asset
                    • -
                    -

                    -

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Senior-Manager%2C-Account-Management-%28Retail-Credit-Risk-StrategyAnalytics%29/570570117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-24T19:11:51.692Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/229115220-senior-manager-account-management-retail-credit-risk-strategy-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Senior-Manager%2C-Account-Management-%28Retail-Credit-Risk-StrategyAnalytics%29/570570117/,expired,2023-05-25T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -55fa6384-ac09-4b59-b934-db23e546c84a,235604939,Roche,Finance Center of Excellence - Analytics & Insights,on_site,"Mississauga, ON, Canada",2023-06-12T20:32:02.868Z,"

                    The Position

                    -

                    We are seeking a highly motivated and experienced Finance Visualization and Analytics & Insights member to join our team. This role will be responsible for defining, developing, and supporting our finance analytics and insights capabilities. You will be working in an innovative, solution focused way, bringing your Finance subject matter expertise into an agile team approach, partnering closely with various functions in our global organization. You need to be well versed in exploration of data and analytics, and bringing powerful and action-driving insights to our Finance organization, blending our data with our core technology platform that includes SAP Analytics Cloud and Tableau, amongst other supporting platforms. You will be collaborating across Finance and beyond to ensure we architect and execute in building a sustainable data foundation and insight generating strategy for the Finance organization and our business stakeholders.

                    -

                    This role is for a Digital for Finance team member with extensive experience and subject matter expertise in Analytics in Finance in the Pharmaceutical or similar industry, with a comprehensive understanding of key financial processes and systems, organizational needs, and with a value focused approach.

                    +3dbc189d-bd18-4975-80d6-0d2d8c88a0cf,243150574,OMERS,"Data Engineer, Finance Data (6 Months Contract)",on_site,"Toronto, ON, Canada",2023-07-04T17:41:57.984Z,"

                    We’d be thrilled to have you join our team as we set up our Capital Markets Finance Data team for new and continued success! We’ll focus equally on expertise and excellence, paired with culture and community. We will serve OMERS teams primarily in Capital Markets, Total Portfolio Management, and the Corporate function through understanding their needs, delivering against their expectations, and contributing our proficiencies – to achieve collective wins. This role joins a team on a journey, with much future potential in a global, sophisticated, complex enterprise.

                    -

                    The successful candidate will be responsible for:

                    -
                      -
                    • Developing a deep understanding of the organization's financial data needs and identifying opportunities to leverage data to drive business outcomes.
                    • -
                    • Working closely with cross-functional teams, including data product owners, data analysts, and business stakeholders to define product requirements and drive the development of finance visualization capabilities.
                    • -
                    • Leading the development of finance analytics and insights products, ensuring that they are delivered on time, within budget, and meet the needs of the organization.
                    • -
                    • Defining and monitoring key performance indicators (KPIs) for finance data products to measure their effectiveness and impact.
                    • -
                    • Collaborating with the organization's data governance team to ensure that finance data products comply with data security and privacy policies.
                    • -
                    • Staying up-to-date with industry trends and best practices in the data visualization and insight generation products and recommending changes to improve the organization's finance data strategy.
                    • -
                    -

                    -

                    Requirements:

                    -
                      -
                    • Bachelor's degree in finance, accounting, or a related field; MBA preferred.
                    • -
                    • Minimum of 5 years of experience in finance, data analytics, or a related field.
                    • -
                    • Strong project management skills, including the ability to manage multiple projects simultaneously and prioritize tasks effectively.
                    • -
                    • Experience in the areas of core financial forecasting activities and processes
                    • -
                    • Experience in leading key projects as either a project lead or project manager
                    • -
                    • Fluent and current on analytics tools and data visualization trends
                    • -
                    • Experience with finance data visualization tools, such as Tableau, Power BI, or Looker.
                    • -
                    • Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
                    • -
                    • Strong analytical skills, with the ability to analyze complex data sets and draw insights that drive business outcomes.
                    • -
                    • Knowledge of data governance and data security best practices.
                    • -
                    • Familiarity with agile development methodologies.
                    • -
                    +

                    Responsibilities:

                      -
                    • Data & Analytics project implementation experiences that exploit the full capabilities (discover, design, implement and optimization)
                    • -
                    • Technology and Data savviness, passionate about latest technology trends and data driven mindset, innovative and curious mindset, with a passion for learning and teaching
                    • +
                    • Design, develop, and help maintain data assets to extract, transform, and load data from various data files, APIs, and databases, and to make them accessible to various client-facing applications as well as investment data warehouse and internal tools
                    • +
                    • Implement data strategies that prepare, transform, combine and manage structured and unstructured data (e.g. internal investment accounting systems as well as external third-party investment feeds) to integrate the data into an investment data warehouse and BI solutions
                    • +
                    • Develop and operate highly scalable data pipelines and infrastructure that enable investment analytics, and investment reporting use cases
                    • +
                    • Automate manual processes and optimize data delivery
                    • +
                    • Utilize modern technologies for designing and building data solutions to meet business needs
                    • +
                    • Partner with business analysts and reporting analysts to develop reports and PowerBI dashboards
                    • +
                    • Support and troubleshoot existing investment data applications and BI reporting solutions as needed
                    • +
                    • Work as part of a cross-functional agile team responsible for end-to-end delivery of business needs
                    • +
                    • Collaborate and work effectively with business analysts and reporting analysts team members, and other investment professionals and leaders in solutioning and support

                    -

                    If you are passionate about finance, leveraging powerful visualization capabilities to drive actionable insights, and are looking for an exciting opportunity to make an impact in a dynamic and growing organization, we encourage you to apply for this position.

                    -

                    -

                    ** This role is NOT eligible for relocation **

                    -

                    -

                    Who we are

                    -

                    At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

                    -

                    Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche's truly innovative culture.

                    -

                    -

                    As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

                    -

                    Roche is an Equal Opportunity Employer.

                    ",,https://roche.wd3.myworkdayjobs.com/roche-ext/job/Mississauga/Finance-Center-of-Excellence---Analytics---Insights_202306-113629,aitalent@vectorinsitute.ai,https://www.roche.com/careers.htm,,,2023-06-26T23:31:00.000Z,False,0,4,36,https://talenthub.vectorinstitute.ai/jobs/235604939-finance-center-of-excellence-analytics-insights-at-roche,,expired,2023-06-12T20:32:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,New Posting, -f75821fd-d53c-4286-9b63-a2831c24224a,235604927,Roche,Finance Center of Excellence - Data Product Lead,on_site,"Mississauga, ON, Canada",2023-06-12T20:30:03.632Z,"

                    The Position

                    -

                    We are seeking a highly motivated and experienced Finance Data Product Owner to join our team. The Finance Data Product Owner will be responsible for defining, developing, and managing finance data products that provide valuable insights to our organization. You will be working in an innovative, solution focused way, bringing your Finance subject matter expertise into an agile team approach, partnering closely with various functions in our global organization.

                    -

                    You need to be well versed in exploration of data and analytics, and blending this with our core data technologies in our SAP transactional and business warehouse applications and Data Mesh platforms. You will be collaborating across Finance and beyond to ensure we architect and execute in building a sustainable data foundation for the Finance organization and our business stakeholders.

                    -

                    This role is for a Digital for Finance team member with extensive experience and subject matter expertise in Analytics in Finance in the Pharmaceutical or similar industry, with a comprehensive understanding of key financial processes and systems, organizational needs, and with a value focused approach.

                    -

                    -

                    The successful candidate will be responsible for:

                    -
                      -
                    • Developing a deep understanding of the organization's financial data needs and identifying opportunities to leverage data to drive business outcomes.
                    • -
                    • Working closely with cross-functional teams, including data engineers, data analysts, and business stakeholders to define product requirements and drive the development of finance data products.
                    • -
                    • Leading the development of finance data products, ensuring that they are sustainable, scalable, delivered on time within budget, and meet the needs of the organization.
                    • -
                    • Defining and monitoring key performance indicators (KPIs) for finance data products to measure their effectiveness and impact.
                    • -
                    • Collaborating with the organization's data governance team to ensure that finance data products comply with data security and privacy policies.
                    • -
                    • Staying up-to-date with industry trends and best practices in finance data products and recommending changes to improve the organization's finance data strategy.
                    • -
                    • Ownership and accountability of source oriented and consumer oriented data products end- to-end, from data to actionable insights.
                    • -
                    -

                    -

                    Requirements:

                    +

                    Qualifications:

                      -
                    • Bachelor's degree in finance, accounting, or a related field; MBA preferred.
                    • -
                    • Minimum of 5 years of experience in finance, data analytics, or a related field.
                    • -
                    • Strong project management skills, including the ability to manage multiple projects simultaneously and prioritize tasks effectively.
                    • -
                    • Fluency and experience in supporting data mesh and data lake implementations, with a strong focus on data curation and quality
                    • -
                    • Experience in the areas of core financial forecasting activities and processes
                    • -
                    • Experience in leading key projects as either a project lead or project manager
                    • -
                    • Fluent and current on analytics tools and data visualization solutions
                    • -
                    • Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
                    • -
                    • Strong analytical skills, with the ability to analyze complex data sets and draw insights that drive business outcomes.
                    • -
                    • Knowledge of data governance and data security best practices.
                    • -
                    • Familiarity with agile development methodologies.
                    • +
                    • Track of record working in a fast-paced environment and multi-faceted role that intersects with business and technical analysts to support existing solutions, solution delivery, and contributions as a project resource for investment system implementations and upgrades
                    • +
                    • Strong experience with data management, investment systems, business intelligence, and other reporting technologies
                    • +
                    • Experience with Microsoft based BI/ETL tools (e.g. SQL Server, SSRS, SSIS, data factoryor similar
                    • +
                    • Experience with Cloud based data and analytics platforms (e.g. Snowflake, DataBricks, Azure Synapse)
                    • +
                    • Deep proficiency in SQL, Python, and similar languages
                    • +
                    • Good understanding of investment products
                    • +
                    • Demonstrated ability to handle multiple projects and tasks at the same time to support daily production issues
                    • +
                    • Critical thinking skills with the ability to independently solve problems with data and/or reference documents
                    • +
                    • Investment data modeling experience using the Kimball method is an asset
                    • +
                    • Experience with BNY Eagle PACE, Calypso, and Charles River is an asset
                    • +
                    • Data governance experience is an asset
                    • +
                    • Bachelor’s or master’s degree in Computer Science, Engineering, Finance, or a related field
                    +

                    +

                    And you demonstrate:

                      -
                    • Data & Analytics project implementation experiences that exploit the full capabilities (discover, design, implement and optimization)
                    • -
                    • Technology and Data savviness, passionate about latest technology trends and data driven mindset, innovative and curious mindset, with a passion for learning and teaching
                    • +
                    • A people-first focus with a desire to develop meaningful, positive relationships across all levels of the organization
                    • +
                    • A teammate mentality coupled with servant leadership
                    • +
                    • A sense of urgency, optimism, and a desire to deliver excellence
                    • +
                    • A desire to drive debate, to speak candidly, and to listen empathetically
                    • +
                    • Strong orientation towards strategy, change, and results
                    • +
                    • A continuous improvement mindset

                    -

                    If you are passionate about finance, leveraging powerful data capabilities to drive actionable insights, and are looking for an exciting opportunity to make an impact in a dynamic and growing organization, we encourage you to apply for this position.

                    -

                    -

                    ** This role is NOT eligible for relocation*

                    -

                    -

                    Who we are

                    -

                    At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

                    -

                    Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche's truly innovative culture.

                    -

                    -

                    As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and/or adaptation measures regarding this vaccination requirement.

                    -

                    Roche is an Equal Opportunity Employer.

                    ",,https://roche.wd3.myworkdayjobs.com/roche-ext/job/Mississauga/Finance-Center-of-Excellence---Data-Product-Lead_202306-113624,aitalent@vectorinsitute.ai,https://www.roche.com/careers.htm,,,2023-06-26T23:31:00.000Z,False,0,1,15,https://talenthub.vectorinstitute.ai/jobs/235604927-finance-center-of-excellence-data-product-lead-at-roche,,expired,2023-06-12T20:30:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Team Lead,Bachelors Degree,New Posting, -202ece64-51df-4935-a861-8990771659bd,235578412,RBC,"Manager, Fraud Research and Analytics",on_site,"Toronto, ON, Canada",2023-06-12T15:47:01.814Z,"
                    -

                    Come Work with Us!

                    At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                    Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                    -

                    Job Title

                    Manager, Fraud Research and Analytics

                    +

                    #LI-Hybrid

                    -

                    Job Description

                    -

                    What is the opportunity?

                    -

                    Fraud Management (FM) teams employ deep subject matter expertise in identifying, assessing, mitigating and controlling fraud risks for the Enterprise. Within Fraud Management, the Fraud Data Science & Analytics (FDSA) team develops and optimizes fraud detection strategies to maximize operational effectiveness and minimize client impact. The FDSA Research and Analytics function conducts analytic research into fraud issues, identifying causation and correlation, develop insights on emerging trends, gaps or systemic issues, and collaborate with Fraud Management partners to communicate results and take action.

                    -

                    What will you do?

                    -
                      -
                    • Identify patterns, trends and hidden causation and correlation relationships from Fraud data and advise FM SMT of emerging trends, specific gaps or systemic issues that impact the Fraud Risk of RBC
                    • -
                    • Collaborate with appropriate partners for action, correction, awareness and training
                    • -
                    • Forecast Financials and Fraud KPI’s using predictive analytics techniques and generate insights for executive decision making and communicating results through insightful visualizations, white papers, reports and presentations
                    • -
                    • Research business problems, develop solutions to support investigation and analysis and lead progression of analytics methodology, tools and measurement to create development templates for automation
                    • -
                    • Build the foundation of information in consolidated data repositories for Operations, Fraud Events, Fraud Performance and Financials
                    • -
                    • Provide a complete picture of the fraud landscape with drill-down capabilities for root cause analysis and deliver self-serve interactive visualizations through accessible platforms like Tableau
                    • -
                    • Conduct Code Reviews and develop standards for Development practices and partner with project teams to support information required for analysis of the current state
                    • -
                    • Deliver Project Reporting for Fraud Events, Performance, Operational and Financial KPI’s and KRI’s and Program Benefits measurements to track success criteria of the Project Business Case
                    • -

                    -

                    What do you need to succeed?

                    -

                    Must-have

                    -
                      -
                    • 2+ years’ experience in a Data science and analytics
                    • -
                    • Advanced capability in using Python, R, PySpark, SAS, SQL and Tableau
                    • -
                    • Experience with Databases and Data Structures (RDBMS, Hadoop etc.)
                    • -
                    • Ability to apply data and analytics concepts to business problems and explain business value of data and analytics concepts
                    • -
                    • Ability to multi-task and prioritize and complete projects effectively and in a timely manner
                    • -
                    • Strong team player with a track record of collaboration and experience working as part of an agile team
                    • -
                    • Professional verbal and written communication and presentation skills, and ability to provide consultation, analysis, and recommendations on a broad range of projects in a deadline driven environment with ambiguity
                    • -

                    -

                    Nice-to-have

                    -
                      -
                    • Good understanding of Canadian Financial Institutions, with a focus on Fraud/Risk Operations
                    • -
                    • Degree in mathematics, statistics, economics, computer science, software engineering or related quantitative field
                    • -
                    +

                    Our story:

                    +

                    Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                    -

                    What’s in it for you?

                    -

                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                    -
                      -
                    • Fair compensation
                    • -
                    • Challenging work in a fast-paced timeline driven work environment
                    • -
                    • Ability to make a difference and lasting impact
                    • -
                    • Work with a great and supportive team
                    • -
                    +

                    OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                    ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Data-Engineer--Finance-Data--6-Months-Contract-_JR-5118?q=analytics+ontario&locationCountry=a30a87ed25634629aa6c3958aa2b91ea,aitalent@vectorinstitute.ai,https://www.omers.com/careers,,,2023-07-18T00:43:00.000Z,False,0,8,61,https://talenthub.vectorinstitute.ai/jobs/243150574-data-engineer-finance-data-6-months-contract-at-omers,,expired,2023-07-04T17:41:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +c443e6cb-d2a4-4f9c-8fc8-66692402a3fa,243155563,CN,"Manager, Advance Analytics Optimization",on_site,"Brampton, ON, Canada",2023-07-04T17:50:29.950Z,"

                    At CN, everyday brings new and exciting challenges. You can expect an interesting environment where you’re part of making sure our business is running optimally and safely―helping keep the economy on track. We provide the kind of paid training and opportunities that long-term careers are built on and we recognize hard workers who strive to make a difference. You will be able to thrive in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                    +

                    Job Summary

                    +

                    The Manager, Advance Analytics Optimization is responsible for developing the Terminal operating model of the future. The incumbent assists with solving operation and service issues by developing solutions for CN’s ongoing transformation in Intermodal (IM) Operation with the Smart Terminal Program and Continuous Improvement strategy in virtually every aspect of its business. The incumbent leverages statistical analysis, Artificial Intelligence (AI) machine learning, and optimization techniques to drive innovation and improvement in IM operations.

                    +

                    Main Responsibilities

                    +

                    · Apply statistical, advanced analytics, data science and machine learning knowledge, tools and techniques to specific business problems and data

                    +

                    · Develop initiatives to assist Supply Chain in a number of highly technical areas

                    +

                    · Use data science techniques to find data patterns, anomalies, and optimization opportunities

                    +

                    · Interpret, translate, and communicate analytical findings to business stakeholders

                    +

                    · Address and solve complex analytical problems using quantitative approaches

                    +

                    · Collaborate to implement data best practices through Data Lab, Data Hub,

                    +

                    · Provide analytical support by creating and sharing regular and ad hoc reports for projects and kaizens

                    +

                    · Identify simplification initiatives to allow for more effective data management to change the conversation from tactical to strategic

                    +

                    · Analyze data and develop solutions to define the operating models of the future using data science such as optimization or machine learning

                    +

                    · Work with Senior Terminal Managers, Terminal Managers, Supervisors, and Network Planning to recommend optimization improvements in Operation

                    +

                    · Influence IM Operation Management for fast and accurate decision-making on various aspects of the process such as capacity, productivity, process automation, and customer service

                    +

                    · Participate in change management

                    +

                    · Drive continuous improvement by identifying opportunities and leading projects

                    +

                    · Control and facilitate all data driven sessions on continuous improvements within all terminals across the network

                    +

                    · Analyze complex data sets and operational parameters to support leadership in decision-making while implementing new solutions and processes

                    +

                    Working Conditions

                    +

                    The role has standard working conditions in an office environment with a regular workweek from Monday to Friday. Due to the nature of the role, the incumbent must be able to meet tight deadlines, handle pressure, and stress. The role requires minimal travel (5%) for field visits.

                    +

                    Requirements

                    +

                    Experience

                    +

                    Advance Data Analytics

                    +

                    · Between 4 to 5 years of experience with, transportation operations or planning and forecasting of operations, inventory management systems, operation management systems

                    +

                    o Experience in analytics, data science, and advance data modelling with a focus on driving business, engineering, logistics, and supply chain decisions

                    +

                    o Experience in developing Machine Learning and statistical models

                    +

                    o Experience with technology and operation automation projects

                    +

                    o Experience with Machine Learning algorithms *

                    +

                    o Experience in using Power BI and Tableau to deliver insight*

                    +

                    *Any experience for these above would be considered as an asset

                    +

                    Education/Certification/Designation

                    +

                    · Bachelor’s Degree in Engineering, Operations, Supply Chain or Business

                    +

                    · Master’s Degree in Statistics, Mathematics, Quantitative Methods, Engineering, Operations Research, Supply Chain, or equivalent*

                    +

                    *Any designation for these above would be considered as an asset

                    +

                    Competencies

                    +

                    · Applies critical thinking

                    +

                    · Sets direction and inspires others

                    +

                    · Collaborates with others and shares information

                    +

                    · Solves problems to create value

                    +

                    · Demonstrates agility and drives change

                    +

                    · Knows the business and stays current on industry needs

                    +

                    · Fluently bilingual both written and verbal (English, French)*

                    +

                    *Any skills/attributes for these above would be considered as an asset

                    +

                    Technical Skills/Knowledge

                    +

                    · Advance Knowledge of Excel, Structured Query Language (SQL), Python

                    +

                    · Knowledge of process improvement tools and methodologies such as lean tools

                    +

                    · Knowledge of analytical and quantitative methodologies for mathematical optimization and statistical analysis

                    +

                    · Knowledge of data analysis, data mining, mathematical modelling and optimization, as well as algorithms

                    +

                    · Advance Knowledge of Microsoft Office (Excel, PowerPoint, and Word) and Power BI

                    +

                    · Experience in optimization software and mathematical programming languages such as CPLEX, Lingo or others*

                    +

                    · Knowledge of IM terminal operations and processes such as manpower, capacity, and asset planning, demand, maintenance, truck turn time, and work cell operations*

                    +

                    · Knowledge of IM terminal systems such as Terminal Operating System (TOS), Gate, and Service Reliability System (SRS)*

                    +

                    *Any knowledge for any of the above would be considered as an asset

                    +

                    About CN

                    +

                    CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                    -

                    RBC is committed to supporting flexible work arrangements when and where available. Details to be discussed with Hiring Manager.

                    +

                    CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                    ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/11084?c=cn360&lang=en-US,aitalent@vectorinstitute.ai,https://www.cn.ca/en/careers/,,,2023-07-18T00:43:00.000Z,False,0,3,36,https://talenthub.vectorinstitute.ai/jobs/243155563-manager-advance-analytics-optimization-at-cn,,expired,2023-07-04T17:50:00.000Z,admin,Enterprise (500+),Application Click Through,Transportation,Manager,Masters Degree,New Posting, +a25f6d16-409a-4afc-9b54-fa444334879b,243157349,Loblaw Companies Ltd.,"Data Analyst, IVR",on_site,"Toronto, ON, Canada",2023-07-04T19:09:53.253Z,"

                    Referred applicants should not apply directly to this role.

                    +

                    All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                    -

                    Job Summary

                    -

                    Address:

                    TORONTO, Ontario, Canada

                    City:

                    CAN-ON-MISSISSAUGA, CAN-ON-TORONTO

                    Country:

                    Canada

                    Work hours/week:

                    37.5

                    Employment Type:

                    Full time

                    Platform:

                    Personal and Commercial Banking

                    Job Type:

                    Regular

                    Pay Type:

                    Salaried

                    Posted Date:

                    2023-06-08

                    Application Deadline:

                    2023-06-24
                    -

                    Inclusion and Equal Opportunity Employment

                    -

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    -
                    -

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                    -
                    ",,https://jobs.rbc.com/ca/en/job/R-0000061663/Manager-Fraud-Research-and-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-06-26T23:29:00.000Z,False,0,4,16,https://talenthub.vectorinstitute.ai/jobs/235578412-manager-fraud-research-and-analytics-at-rbc,,expired,2023-06-12T15:47:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -63f65f22-0ada-4c13-a4c9-929d44775576,233912492,CIBC,"Sr. Consultant, Application Development",on_site,"Ontario, Canada",2023-06-08T15:37:02.430Z,"
                    -

                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                    -

                    At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                    +

                    Location:

                    +

                    500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

                    -

                    To learn more about CIBC, please visit CIBC.com

                    +

                    When you hire great people, great things can happen.

                    +

                    PC Financial offers unprecedented value to Canadians through payment products. We're a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

                    -

                    Job Description

                    +

                    Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

                    -

                    What you\'ll be doing

                    -

                    You’ll be joining CIBC’s CIBC Asset Management (CAM) Technology Group within Wealth Management Technology. You’ll be at the heart of CIBC’s digital transformation, successfully delivering complex, enterprise-scale Azure projects involving multiple back-end systems. As an Senior Application Development Consultant, you will design, build, implement and maintain easy, flexible, agile solutions that enhance the client experience across multiple technologies including cloud. You’ll be part of the planning and strategy for the technical design, development and integration of these applications. The successful candidate for this role will be required to provide support after hours/weekends. This role will function in a hybrid work environment.

                    +

                    Who We Are:

                    +

                    In the Customer Support Centre of Excellence (CoE), we strive to provide PC Financial, PC Optimum, Loblaw Digital, Loblaw Retail, and SDM Retail customers an effortless experience in the moments that matter. We use technology, automation, and delivery optimization to improve customer and colleague experiences. We collaborate with technology and products teams to create synergy and deliver value. We are nimble, agile and collaborative solving complex problems at pace. We run as one team, value diversity and dig deep to always know more.

                    +

                    -

                    How you\'ll succeed

                    -
                      -
                    • -Design and development - Perform and coordinate complicated application programming activities. Lead the design and development of cost-effective and innovative solutions
                    • -
                    • -Strategic planning - Develop multi-year technology roadmaps that align with the bank’s vision, strategy, and business goals. Lead multiple complicated projects involving backend systems, new technology, and the enhancement of existing applications.
                    • -
                    • -Leadership skills - Act as the development team lead and run code-review sessions with the wider team to ensure the project is on track to meet goals. Support and mentor intermediate and senior developers by sharing knowledge, collaborating and problem solving.
                    • -
                    +

                    Why Is This Role Important

                    +

                    The Data Analyst, IVR is the focal point for advising IVR strategy through the collection and analysis of data. Through programming languages like SQL, SAS, and Python, in SAS and Google Cloud platforms, the successful candidate will be responsible for writing queries to capture data from various sources. The data will be used to define KPIs, generate reports, and build predictive models. The work of the Data Analyst, IVR will play an integral role in bringing outstanding customer experience, through optimization and technology (supported by data and analytics), to our existing IVR platforms.

                    -

                    Who you are

                    -
                      -
                    • -You embrace and advocate change. You\'ll continuously evolve your thinking and the way you work in order to deliver your best.
                    • -
                    • -Your influence makes a difference. You know that relationships and networks are essential to success. You inspire outcomes by sharing your expertise.
                    • -
                    • -You’re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
                    • -
                    • -You\'re motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.
                    • -
                    • -You can demonstrate experience in: Technical skills and experiences including: Azure Synapse architect design with DB objects and data security setup
                    • -
                    • Azure Synapse SQL development. Azure Data Factory
                    • -
                    • Azure App service plan – API and Web apps
                    • -
                    • C#.net API/Web app development and Azure DevOps
                    • -
                    • Modeling data for user consumption with UI tools such as Power BI
                    • -
                    • Ability to coach Azure developers
                    • -
                    • Proven experience on design and deploy data platforms within the Cloud adoption framework for data landing zones.
                    • -
                    • Perform requirements analysis, design, and prototyping for data solutions.
                    • -
                    • Provide oversight and guidance to platform, data, BI and development team.
                    • -
                    • Development, review, and revision of best practices for technical implementation and development and communication to supporting delivery resources.
                    • -
                    • Familiarity with DevOps tools like Azure DevOps and Business Intelligence tools such as Power BI, Tableau .
                    • -
                    • Communicate efficiently and with deep technical knowledge regarding concepts and best practices of the end-to-end data platform and architecture.
                    • -
                    • 8+ years of relevant professional technology experience.5+ years of experience in a data transformation language like SQL.
                    • -
                    • 5+ years of working experience with SQL Server, data warehousing and data analytics projects and 3+ years developing, deploying, and testing data platforms in Azure or other cloud provider.
                    • -
                    • 2+ years of experience with version control and DevOps. 1+ years infrastructure as code development on Azure (ARM, Bicep, Blueprints).
                    • -
                    • Minimum of a Bachelor’s degree in Computer Science, Computer Engineering, Software Design, Software Engineering, or a related field, or equivalent alternative education, skills, and/or practical experience. -
                    • -
                    • -Nice to have: MS Certified: Data Engineering Associate /MS Certified: Azure Solutions Architect Expert
                    • -
                    • -Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.
                    • -
                    +

                    We are looking for a candidate that is a self-starter, highly energized, and has excellent communication and presentation skills. The right candidate will bring a strong mix of experience with financial planning and reporting within operations, and a ‘roll-up-your-sleeves’ approach.

                    +

                    -

                    What CIBC offers

                    -

                    At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                    -
                      -
                    • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program
                    • -
                    • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients
                    • -
                    • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.
                    • -

                    -

                    What you need to know

                    +

                    What You’ll Do

                      -
                    • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                    • -
                    • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                    • +
                    • Write queries using programming languages like SQL, SAS, and Python, in SAS and Google Cloud platforms
                    • +
                    • Build ‘what-if’ scenarios or predictive modelling to support optimization or technology improvements
                    • +
                    • Examine data for validity and applicability
                    • +
                    • Ability to work independently and cross-functionally with partners to provide insights related to caller behavior, demographics, and value to drive evidence-based decisions across the enterprise.
                    • +
                    • Accountable for reporting tools (Tableau), building & maintaining data sources and crafting dashboards for the purposes of supervising IVR health and performance
                    • +
                    • Daily analysis should render opportunity and recommendations that you will see through the various stages of the project lifecycle. This includes developing well thought out cases with clearly identified means of monitoring and measuring success
                    • +
                    • Work with the Specialist, IVR and partners to gain a detailed understanding of the business lines, the current state of each IVR platform, current difficulties, understand integrations and peripheral systems to better the IVR experience and efficiency
                    +

                    -

                    -

                    -

                    -

                    -

                    Job Location

                    CIBC Square Banking Centre

                    Employment Type

                    Regular

                    -

                    Weekly Hours

                    37.5

                    Skills

                    -

                    Azure App Service, Azure Cloud Services, Azure ExpressRoute, Azure Kubernetes Service (AKS), Azure Policy, Azure Storage, Functional Designs, Microsoft Azure, Microsoft Azure Databases Administration, Microsoft Azure Databricks, Microsoft Azure Data Lake Store, Microsoft Azure DevOps Artifacts, Microsoft Azure DevOps Boards, Microsoft Azure DevOps Repos, Microsoft Azure DevOps Test Plans, Microsoft Azure Functions, Microsoft Azure Load Balancer, Microsoft Azure Portal, Microsoft Azure Security, Microsoft Azure Synapse Analytics, Solutions Development
                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Consultant--Application-Development_2238606?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-06-26T23:29:00.000Z,False,0,3,13,https://talenthub.vectorinstitute.ai/jobs/233912492-sr-consultant-application-development-at-cibc,,expired,2023-06-08T15:37:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -6198adf3-f5c2-4101-a794-4c0b6cc273dd,230064181,BMO Financial Group,"Manager, Credit Risk Modelling & Analytics",on_site,"Ontario, Canada",2023-05-28T15:39:01.570Z,"
                    -

                    Address:

                    100 King Street West

                    -

                    -

                    Job Family Group:

                    Data Analytics & Reporting

                    -

                    -

                    -

                    -

                    Supports the research and development of quantitative risk modeling methodologies and related strategies in support of the management of risks arising from business/group portfolios and products. Applies knowledge of analytics algorithms and technologies to develop forward looking models and analytic solutions that ensure risks are properly identified, understood and risk related strategies are enabled. Summarizes statistical findings, draws business conclusions, and presents actionable business recommendations used in the management of risks and related activities e.g. associated internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations. Drives innovation through the development of data products that can be leveraged across the organization and establishes best practices as well influences data governance guidelines and policies. May specialize in one or more risk categories e.g. Credit Risk, Market Risk, Interest Rate Risk, etc.

                    +

                    What You’ll Need

                      -
                    • Acts as a trusted advisor to assigned business/group.
                    • -
                    • Influences and negotiates to achieve business objectives.
                    • -
                    • Recommends and implements solutions based on analysis of issues and implications for the business.
                    • -
                    • Assists in the development of strategic plans.
                    • -
                    • Identifies emerging issues and trends to inform decision-making.
                    • -
                    • Supports the execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • -
                    • Helps determine business priorities and best sequence for execution of business/group strategy.
                    • -
                    • Conducts independent analysis and assessment to resolve strategic issues.
                    • -
                    • Automates validation tests to improve quality and efficiency of the validation process.
                    • -
                    • Identifies emerging issues and trends to inform decision-making.
                    • -
                    • Builds effective relationships with internal/external stakeholders.
                    • -
                    • Ensures alignment between stakeholders.
                    • -
                    • Cleanses, manipulates, and transforms data through programming/scripting for model training and validation.
                    • -
                    • Conducts various pre-implementation and post-implementation analyses to estimate/measure business impact caused by model adoption (e.g., revenue increase, cost reduction, corporate brand image).
                    • -
                    • Provides input into the planning and implementation of operational programs.
                    • -
                    • Executes work to deliver timely, accurate, and efficient service.
                    • -
                    • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • -
                    • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                    • -
                    • Works with stakeholders to identify the business requirements, understand the distinct problems, and the expected outcome and models and frames business scenarios which impact critical business processes and/or decisions.
                    • -
                    • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
                    • -
                    • Applies scripting/programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                    • -
                    • Develops agreed analytical solution by applying suitable statistical techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, artificial intelligence) to test, verify, refine hypotheses.
                    • -
                    • Summarizes statistical findings and draws conclusions and presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                    • -
                    • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                    • -
                    • Performs experimental design approaches to validate finding or test hypotheses.
                    • -
                    • Uses the appropriate algorithms to discover patterns.
                    • -
                    • Builds effective relationships with internal/external stakeholders. Ensures alignment between stakeholders.
                    • -
                    • Supports development of tools and delivers training for data and analytics.
                    • -
                    • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • -
                    • Leads/participates in the design, implementation and management of core business/group processes.
                    • -
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                    • -
                    • Provides specialized consulting, analytical and technical support.
                    • -
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • -
                    • Works independently and regularly handles non-routine situations.
                    • -
                    • Broader work or accountabilities may be assigned as needed.

                      Qualifications:

                      -
                    • -
                    • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                    • -
                    • Data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS.
                    • -
                    • Relevant experience in risk, capital, and/or treasury management is preferred.
                    • -
                    • A professional designation in Finance or Risk management is preferred.
                    • -
                    • Post-secondary degree in Finance/Economics/Math required.
                    • -
                    • Professional designation in Finance or Risk management required.
                    • -
                    • Deep knowledge and technical proficiency gained through extensive education and business experience.
                    • -
                    • Verbal & written communication skills - In-depth.
                    • -
                    • Collaboration & team skills - In-depth.
                    • -
                    • Analytical and problem solving skills - In-depth.
                    • -
                    • Influence skills - In-depth.
                    • -
                    • Data driven decision making - In-depth.
                    • +
                    • 2-3 years’ experience in query writing, experience with Big Query (Google Cloud Platform) preferred
                    • +
                    • 2-3 years’ experience in analysis
                    • +
                    • Sophisticated analytical and communication skills are critical.
                    • +
                    • Versatile and able to present complicated data and concepts to different partners
                    • +
                    • Manage multiple tasks while frequently switching gears between teams who are working on many different initiatives but working towards the same overall goals
                    • +
                    • Hands on experience with Tableau, programming languages, MS Office applications
                    -

                    -

                    -

                    We’re here to help

                    -

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    +

                    Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

                    -

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    -

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    Number of Openings:

                    +

                    1

                    -

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    +

                    PC Financial recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

                    -

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    -
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Modelling---Analytics_R220031603?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-06-28T17:34:00.382Z,False,0,3,15,https://talenthub.vectorinstitute.ai/jobs/230064181-manager-credit-risk-modelling-analytics-at-bmo-financial-group,,expired,2023-05-28T15:39:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -ad59ef91-d6d5-435b-ade8-146e2ee90094,239621578,Scotiabank,"Senior Manager, Account Management (Retail Credit Risk Strategy/Analytics)",on_site,Canada : Ontario : Toronto,2023-06-25T15:52:02.330Z,"

                    -

                    -

                    -

                    -

                    Requisition ID: 178268

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    -

                    Purpose of Job:

                    -

                    -

                    The mandate of this role is to lead the development of credit risk lending strategies for all retail products to optimize risk/return for Canadian Banking. The incumbent will utilize their analytical, data mining, statistical, credit risk management and leadership skills to achieve success in this role.

                    -

                    The incumbent will ensure all strategies across various stages of account management, provide appropriate reporting and analysis to:

                    -
                    • Lead the strategy development and processes for credit limit management, authorization, pricing, re-issue, reviews, OTB management, and overlimit
                    • Closely monitor performance to ensure each strategy decision area is delivering both optimal profitability and is aligned with the Bank’s Credit Risk Appetite
                    • Drive continuous improvement in strategy effectiveness with focus on incremental profitability
                    • Leverage Champion / Challenger capabilities wherever possible to confirm assumptions and justify changes
                    • Identify root cause, making recommendations to senior management (VP+) and implementing any recommended changes to any / all of customer management business strategies
                    • Work closely with business line partners to ensure customer management strategies, credit limits, authorization volumes, and marketing campaigns are within the Bank’s stated Risk Appetite.
                    • Recommend changes to business line strategies to ensure the Bank does not take on more credit risk than planned, including a forward-looking assessment to ensure it is within Risk Appetite
                    • Support the implementation of credit lending policies to ensuring consistency and adherence across different business units and channels
                    • Introduce changes under a test/control framework to help drive unbiased, evidence-based decisions that improve key performance metrics
                    • -
                    -

                    -

                    This position requires technical expertise including experience with risk technologies, portfolio management and behavior scoring to optimize strategies, policies, and business rules. As well as a deep understanding of credit bureau information and processes

                    -

                    -

                    Job Responsibilities:

                    -

                    -
                    • -All Customer Management Strategies (Line Management, Authorization, Overlimit, Pricing, Re-issue, Review)
                      • Design and develop portfolio segmentations for the purpose of optimization of sales/ profitability and credit risk using sophisticated data mining techniques. This includes identifying opportunities for better management of existing strategies and processes for credit limit, reissue, overlimit, pricing, and authorization
                      • Lead long term strategies that identify the need for risk technologies. Lead cross-functional project teams to implement. Ensure risk technologies are fully leveraged post-implementation
                      • Analyze and report regularly on performance of existing portfolio strategies deployed across Credit cards, Unsecured and Real Estate Secured Lines of Credit and Overdraft
                      • Make recommendations on improvement of existing strategies, procedures, and policies
                      • Promote best practices and leverage appropriate risk technologies for all strategy and policy changes
                    • -Portfolio and Strategy Monitoring
                      • Monitor, assess and evaluate various customer management strategies as well as overall portfolio performance. Through various dimensions of analysis, work closely with business partners to develop actionable tactical recommendations to enhance program effectiveness and profitability
                      • Evaluate the performance monthly of risk-related strategies and liaise with business partners to assess current/emerging trends and impact to portfolio
                      • Create a test and learn framework specific to portfolio strategies to identify future opportunities using applicable risk technologies, primarily TRIAD
                      • Identify if any credit risks are or will become more than the Risk Appetite Framework. Move quickly to rectify including identifying root cause, making recommendations to senior management, and implementing changes to portfolio and business line strategies
                    • -
                    -

                    -
                    • -Support Business Line Initiatives/Projects
                      • Work with GRM analytics, Canadian business, and product partners to ensure customer management strategies are developed using best practices including decision science and strategies follow divisional minimum standards
                      • Work with business line partners to ensure business strategies across customer management are consistent with the Risk Appetite Framework (a forward-looking, prearranged amount of credit and other risk that the Bank is willing to take)
                      • Identify opportunities and recommend changes to business line strategies to ensure the Bank does not take on more credit risk than planned
                    • -
                    -

                    -
                    • -Support TSYS Migration Project
                      • Provide ongoing support to the TSYS Migration project team on risk functions, ensure all necessary data and functions are available post migration
                    • -
                    -
                    • Redesign account management strategies where necessary to leverage the new functions available in TRIAD and TSYS
                    • -
                    -

                    -

                    Job Requirements:

                    -

                    -
                    • Bachelor’s degree or higher in Business or quantitative field such as Finance, Economics, Sciences, Math, Engineering or Computer Science
                    • 4-8 years of experience in an analytical role with 1-4 years of analytical experience in credit risk management, including statistical analysis and modeling, with successful track record of success in driving development and implementation of risk strategies or models in the financial sector
                    • Proficient in use of SAS, SQL, Python, R or other programming languages
                    • Experience in use of Tableau, Power BI, or other data visualization tools
                    • Strong business acumen with advanced understanding of retail banking credit products
                    • Strong communication and presentation skills complemented with solid problem-solving skills
                    • Growth mindset with thoughful curiosity, proactiveness and passion for continuous learning
                    • Solid interpersonal skills with ability to build judicious relationships and influence stakeholders
                    • Proficiency in credit risk strategy building and implementation
                    • Working knowledge of Angoss Knowledge Seeker, SAS Enterprise Miner/Viya or similar tools
                    • Experience with TRIAD/TSYS or other account management systems would be an asset
                    • -
                    -

                    -

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Senior-Manager%2C-Account-Management-%28Retail-Credit-Risk-StrategyAnalytics%29/570569817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-29T19:29:00.000Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/239621578-senior-manager-account-management-retail-credit-risk-strategy-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Senior-Manager%2C-Account-Management-%28Retail-Credit-Risk-StrategyAnalytics%29/570569817/,expired,2023-06-25T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -8fdd2f8f-47ee-4994-ab6b-fea15774f3cf,236452842,BenchSci,Senior Machine Learning Engineer - Computer Vision (Remote),full,"Toronto, Ontario Remote",2023-06-15T16:04:02.755Z,"
                    We are looking for a Machine Learning Engineer - Computer Vision to join our growing ML team. You will work on challenging computer vision problems to have an impact on the 31,000+ life scientists across the world who rely on BenchSci for their research. Reporting to the Engineering Manager, ML, you'll apply your domain expertise to select, train and deploy the best-suited machine learning algorithms, collaborate and experiment with scientists, and apply techniques to build solutions to shape the future of scientific discovery. You will have plenty of room for technical innovation and greenfield to explore and propose computer vision solutions to a complex area.
                    -
                    -

                    You will:

                    -
                        -
                      • Improve the performance and scalability of ML models and pipelines that are at the core of BenchSci's products
                      • -
                      • Work on different stages of the problem from prototyping to production
                      • -
                      • Contribute to key components across the machine learning ecosystem defining BenchSci's ML Technical Roadmap
                      • -
                      • Investigate what technologies that will best enable BenchSci to identify experimental insights through proof-of-concepts
                      • -
                      • Work with diverse teams to correctly capture the nuances of biology, translating them into ML objectives
                      • -
                      • Advocate for code and engineering process improvements across your team, and help define best practices
                      • -
                      • Participate in sprint planning, estimations, and reviews
                      • -
                      • Work with teammates to ensure high-quality deliverables
                      • -
                    -
                    -
                    -

                    You have:

                    -
                        -
                      • 3+ years of experience working as a professional developer, with at least 2 years of this focused on machine learning and computer vision
                      • -
                      • A Bachelor's or Master's degree in Computer Science, Mathematics, or other related disciplines
                      • -
                      • Excellent software engineering skills in Python
                      • -
                      • Comprehensive knowledge in the end-to-end machine learning lifecycle, including the nuances of the infrastructure and operationsExperience with ML and/or Computer Vision fundamentals
                      • -
                      • Experience productionizing ML models Experience with PyTorch, TensorFlow, Scikit-learn, and image processing libraries such as OpenCV and Scikit-image
                      • -
                      • Experience with distributed and cloud-based data processing frameworks such as Apache Spark or Apache Beam
                      • -
                      • A constant desire to develop
                      • -
                      • A team player who strives to see teammates succeed together
                      • -
                    -
                    -
                    -

                    -

                    -
                    Benefits and Perks:
                    -
                    An engaging remote-first culture
                    -
                    A great compensation package that includes BenchSci equity options
                    -
                    15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
                    -
                    Unlimited flex time for sick days, personal days, religious holidays
                    -
                    Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
                    -
                    A $2000 CAD* Annual Learning & Development budget
                    -
                    A $1000 CAD* home office set-up budget
                    -
                    A $2500 CAD*wellness, lifestyle and productivity spending account for employees
                    -
                    Generous parental leave benefits with a top-up plan or paid time off options
                    -
                    *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.
                    -

                    -
                    About BenchSci:
                    -
                    BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                    -
                    Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                    -

                    -
                    Our Culture:
                    -
                    BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                    -
                    We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                    -
                    You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
                    -

                    -
                    -Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
                    -

                    -
                    -Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
                    -

                    -
                    #LI-Remote
                    -
                    ",,https://jobs.lever.co/benchsci/eb96b026-f9d6-4e6a-801f-0c618f2845c8?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-07-03T16:09:04.525Z,False,0,7,38,https://talenthub.vectorinstitute.ai/jobs/236452842-senior-machine-learning-engineer-computer-vision-remote-at-benchsci,https://jobs.lever.co/benchsci/eb96b026-f9d6-4e6a-801f-0c618f2845c8,expired,2023-06-15T16:04:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,New Posting, -eec1f277-4ce6-4f7f-ba81-4b5d697e3985,235578624,Google,"Student Researcher, BS, 2023",on_site,"Toronto, ON, Canada",2023-06-12T15:51:02.554Z,"

                    Minimum qualifications:

                    -
                      -
                    • Currently enrolled in a Bachelor's degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences.
                      -
                    • -
                    • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, etc.).
                      -
                    • -
                    -

                    Preferred qualifications:

                    -
                      -
                    • Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
                    • -
                    • Currently attending a degree program in Canada.
                    • -
                    • Experience as a researcher, including internships, full-time, or at a lab.
                    • -
                    • Experience contributing to research communities or efforts, including publishing papers in conferences or journals.
                      -
                    • -
                    • Experience with one or more general purpose programming languages (e.g., C/C++, Java, MATLAB, Go, Python, etc.).
                      -
                    • -
                    • Ability to speak and write in English fluently.
                    • -
                    -

                    About the job

                    -

                    The Student Researcher Program’s primary objective is to foster academic collaborations with students through research at Google. Join us for a paid Student Researcher position that offers the opportunity to work directly with Google research scientists and engineers on cutting-edge research projects.

                    -

                    The Student Researcher Program offers more opportunities for research students to work on critical research projects at Google in a less structured way. The program allows for opportunities beyond the limitations of our traditional internship program on aspects such as duration, time commitment, and working location (with options for on-site or remote). The topics student researchers work on tend to be open-ended and exploratory, and don't always have a clear deliverable like a traditional internship would.

                    -

                    Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.

                    -

                    Responsibilities

                    -
                    • Participate in research to develop solutions for real-world, large-scale problems.
                    ",,"https://careers.google.com/jobs/results/105590610976481990-student-researcher-bs-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-07-04T01:59:03.250Z,False,0,15,71,https://talenthub.vectorinstitute.ai/jobs/235578624-student-researcher-bs-2023-at-google,,expired,2023-06-12T15:51:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Bachelors Degree,New Posting, -e53cb2b8-659c-4a73-ad0a-566f1d449c78,235578625,Google,"Student Researcher, PhD, 2023",on_site,"Toronto, ON, Canada",2023-06-12T15:51:02.617Z,"

                    Minimum qualifications:

                    -
                      -
                    • Currently enrolled in a PhD degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences.
                      -
                    • -
                    • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, etc.).
                      -
                    • -
                    -

                    Preferred qualifications:

                    -
                      -
                    • Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
                    • -
                    • Currently attending a degree program in Canada.
                    • -
                    • Experience as a researcher, including internships, full-time, or at a lab.
                    • -
                    • Experience contributing to research communities or efforts, including publishing papers in conferences or journals.
                      -
                    • -
                    • Experience with one or more general purpose programming languages (e.g., C/C++, Java, MATLAB, Go, Python, etc.).
                      -
                    • -
                    • Ability to speak and write in English fluently.
                    • -
                    -

                    About the job

                    -

                    The Student Researcher Program’s primary objective is to foster academic collaborations with students through research at Google. Join us for a paid Student Researcher position that offers the opportunity to work directly with Google research scientists and engineers on cutting-edge research projects.

                    -

                    The Student Researcher Program offers more opportunities for research students to work on critical research projects at Google in a less structured way. The program allows for opportunities beyond the limitations of our traditional internship program on aspects such as duration, time commitment, and working location (with options for on-site or remote). The topics student researchers work on tend to be open-ended and exploratory, and don't always have a clear deliverable like a traditional internship would.

                    -

                    Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.

                    -

                    Responsibilities

                    -
                    • Participate in research to develop solutions for real-world, large-scale problems.
                    ",,"https://careers.google.com/jobs/results/108473667903464134-student-researcher-phd-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-07-04T01:59:03.250Z,False,0,9,42,https://talenthub.vectorinstitute.ai/jobs/235578625-student-researcher-phd-2023-at-google,,expired,2023-06-12T15:51:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,PhD,New Posting, +

                    In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                    ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Data-Analyst--IVR_R2000353654?q=analytics+ontario,aitalent@vectorinstitute.ai,https://www.loblaw.ca/en/careers.html,,,2023-07-18T00:44:00.000Z,False,0,19,139,https://talenthub.vectorinstitute.ai/jobs/243157349-data-analyst-ivr-at-loblaw-companies-ltd,,expired,2023-07-04T19:09:00.000Z,admin,Enterprise (500+),Application Click Through,Retail,Associate,No Degree,New Posting, 7f261481-e9e7-4274-9446-82b6244efa46,109321431,BenchSci,MLOps Engineer (Remote),on_site,"Toronto, Ontario /",2022-02-17T05:04:41.417Z,"
                    BenchSci’s vision is to bring novel medicine to patients 50% faster by 2025. We’re achieving it by empowering scientists with the world’s most advanced biomedical artificial intelligence. Backed by F-Prime, Gradient Ventures (Google’s AI fund), and Inovia Capital, our platform accelerates science at 15 top-20 pharmaceutical companies and over 4,300 leading research centers worldwide. We’re a remote-first company recognized for our impact and culture as a Deloitte Tech Fast 50TM, CIX Top 10 Growth, Great Place to Work®, and top-ranked organization on Glassdoor. Learn more at www.benchsci.com.

                    @@ -232793,768 +240930,6 @@ bbf315e0-c01e-4491-8d17-968ec8f21630,210218584,BMO Financial Group,Sr. Anaplan M

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    ",,https://jobs.td.com/en-CA/jobs/18112309/bi-reporting-analyst-iii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-11T20:00:00.000Z,False,0,2,4,https://talenthub.vectorinstitute.ai/jobs/213973186-bi-reporting-analyst-iii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18112309/bi-reporting-analyst-iii-toronto-ca/,expired,2023-04-10T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -bbf315e0-c01e-4491-8d17-968ec8f21630,210218584,BMO Financial Group,Sr. Anaplan Modeler,on_site,"Ontario, Canada",2023-03-30T17:12:02.309Z,"
                    -

                    Application Deadline:

                    04/27/2023

                    -

                    -

                    Address:

                    100 King Street West

                    -

                    -

                    Job Family Group:

                    Data Analytics & Reporting

                    -

                    -

                    Successful candidate will be responsible for data modelling within BMO’s instance of Anaplan to support BMO’s planning and forecasting functions within Finance. Individual should possess an Anaplan Certified Model Builder accreditation with field experience implementing various large-scale projects utilizing iterative/agile project management methodology and domain best practices. Candidate will be the subject matter expert for data integration, translation, and transformation from input sources into models/reports/dashboards and will coordinate with various business and technology stakeholders to develop intermediate/advanced business intelligence models, interpreting business requirements into effective solution designs. The incumbent should possess strong analytical, problem-solving and communication skills with the ability to use creative thinking to solve complex business/technical problems.

                    -

                    -

                    -

                    Applies knowledge of advanced analytic algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

                    -
                      -
                    • Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
                    • -
                    • Ensures alignment between values and behaviour that fosters diversity and inclusion.
                    • -
                    • Regularly connects work to BMO\'s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.
                    • -
                    • Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders.
                    • -
                    • Attracts, retains, and enables the career development of top talent.
                    • -
                    • Improves team performance, recognizes and rewards performance, coaches employees, supports their development, and manages poor performance.
                    • -
                    • Influences and negotiates to achieve business objectives.
                    • -
                    • Identifies emerging issues and trends to inform decision-making.
                    • -
                    • Provides strategic input into business decisions as a trusted advisor.
                    • -
                    • Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group.
                    • -
                    • Acts as a subject matter expert on relevant regulations and policies. Networks with industry contacts to gain competitive insights and best practices.
                    • -
                    • Leads discovery process with stakeholders to identify business requirements and expected outcome and to select relevant sources of data/information.
                    • -
                    • Manages resources and leads the execution of strategic initiatives to deliver on business and financial goals.
                    • -
                    • Helps determine business priorities and best sequence for execution of business/group strategy.
                    • -
                    • Develops the business case by identifying needs, analysing potential options and assessing expected return on investment.
                    • -
                    • Recommends business priorities, advises on resource requirements and develops roadmap for strategic execution.
                    • -
                    • Makes strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.
                    • -
                    • Structures loosely defined and complex business problems; determines new experimentation methods and statistical techniques to design solutions.
                    • -
                    • Acts as the prime subject matter expert for internal/external stakeholders.
                    • -
                    • Identifies/creates the appropriate algorithm to discover patterns.
                    • -
                    • Drives analytics innovation; poses open-ended questions, explores new ideas, and chooses appropriate techniques for solving business problems.
                    • -
                    • Oversees the development and delivery of tools and training for data and analytics.
                    • -
                    • Diagnoses and resolves predictive / analytical model performance issues while monitoring system performance and implementation of efficiency improvements.
                    • -
                    • Leads change management programs of varying scope and type, including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
                    • -
                    • Leads the development of the communication strategy focusing on positively influencing or changing behaviour.
                    • -
                    • Applies innovative and best practices to advanced analytics services to ensure high quality standards.
                    • -
                    • Sets up change control and testing processes to ensure the quality and consistency of ongoing maintenance work.
                    • -
                    • Designs and implements policies and procedures around new data sets to ensure data quality, consistency, repeatability, and accuracy of insights.
                    • -
                    • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • -
                    • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                    • -
                    • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
                    • -
                    • Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
                    • -
                    • Applies scripting / programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                    • -
                    • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, refine hypotheses.
                    • -
                    • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                    • -
                    • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                    • -
                    • Performs experimental design approaches to validate finding or test hypotheses.
                    • -
                    • Uses the appropriate algorithms to discover patterns.
                    • -
                    • Builds effective relationships with internal/external stakeholders and ensures alignment.
                    • -
                    • Supports development of tools and delivers training for data analytics and AI.
                    • -
                    • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • -
                    • Leads/participates in the design, implementation and management of core business/group processes.
                    • -
                    • Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
                    • -
                    • Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
                    • -
                    • Implements changes in response to shifting trends.
                    • -
                    • Broader work or accountabilities may be assigned as needed.

                      Qualifications:

                      -
                    • -
                    • Typically 7+ years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience.
                    • -
                    • Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience.
                    • -
                    • In depth experience using machine learning algorithms.
                    • -
                    • Experience with distributed computing language (e.g. Hive / Hadoop/ Spark) & cloud technologies (e.g. AWS Sagemaker, AzureML).
                    • -
                    • Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, , Perl) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
                    • -
                    • Seasoned professional with a combination of education, experience and industry knowledge.
                    • -
                    • Verbal & written communication skills - In-depth / Expert.
                    • -
                    • Analytical and problem solving skills - In-depth / Expert.
                    • -
                    • Influence skills - In-depth / Expert.
                    • -
                    • Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.
                    • -
                    • Able to manage ambiguity.
                    • -
                    • Data driven decision making - In-depth / Expert.
                    • -
                    -

                    -

                    -

                    We’re here to help

                    -

                    -

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    -

                    -

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    -

                    -

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    -

                    -

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    -

                    -

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    -
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Sr-Anaplan-Modeler_R230003700?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-04-10T21:08:00.000Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/210218584-sr-anaplan-modeler-at-bmo-financial-group,,expired,2023-03-30T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -656e75c8-3a4a-42ba-9312-911cc52677a3,203172630,TD Bank Group,Data Scientist II,on_site,"Toronto, ON",2023-03-09T17:24:03.508Z,"
                    -

                    Company Overview

                    -
                    -

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    -

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    -
                    -

                    -

                    Department Overview

                    -

                    The Analytics and Information Management team supports the entire Canadian Auto Finance organization with reporting, data consulting, strategy and ad-hoc analyses from product development, sales and loan acquisition to operations and servicing customers.
                    This position offers an excellent opportunity to learn about and be at the forefront of a highly dynamic and growing business while supporting a multitude of critical initiatives across TDAF Canada.

                    -

                    -

                    Job Description

                    -
                    -

                    About this Role

                    -

                    Reporting to the Senior Manager – Analytics & Information Management – the Data Scientist will engage with all levels of the TD Auto Finance team and utilize their skills to provide value added information to business stakeholders.

                    -
                      -
                    • Utilize business and TD enterprise data along with machine learning methods to build models that predict certain customer behaviors (for example: defaults, loan prepayments, new car purchases, mobile app behavior etc.).
                    • -
                    • Work with business partners on initiatives and projects. Provide consultation and recommendations by highlighting impacts from a quantitative point of view.
                    • -
                    • Pro-actively identify opportunities for the business to maximize shareholder value through provisioning of analytics discovery and business insights.
                    • -
                    • Support a positive work environment that promotes service to the business, quality, innovation, and teamwork; ensure timely communication of issues/ points of interest.
                    • -
                    • Prepare Management summaries highlighting the outcome of the validation process for each model and ensuring the appropriate use of risk models. Identify the need to implement new models/techniques to manage risk as industry standards evolve.
                    • -
                    • Work with team members to enhance current profitability and pricing models.
                    • -
                    • Provide ad hoc support to Senior Manager in strategic and tactical initiatives as required.
                    • -
                    • Establish and maintain productive working relations with all stakeholders.
                    • -
                    -
                    -

                    -

                    Requirements

                    -
                    -What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    -
                      -
                    • The ideal candidate would have extensive work experience building predictive models with machine learning methods in Python or R.
                    • -
                    • Experience combining data from different databases. Experience discovering and understanding new data elements by utilizing metadata and testing.
                    • -
                    • Strong relationship building skills, ability to collaborate effectively with teams across TDAF and the Bank.
                    • -
                    • Experience in data mining, financial models and data visualization tools (SQL, Tableau, and Excel).
                    • -
                    • Experience building presentations and presenting the findings to upper management.
                    • -
                    • Minimum 5 years in an analytical or consulting role.
                    • -
                    • Demonstrated experience of developing and implementing statistical models (predictive & descriptive)
                    • -
                    • Demonstrated experience in delivering high quality, high impact analytical solutions to business problems
                    • -
                    • Banking or Auto Finance experience is strongly preferred.
                    • -
                    • University Degree combined with data science education preferred.
                    • -
                    -
                    -

                    -

                    Additional Information

                    -
                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -

                    #LI-Hybrid #datascientist

                    -

                    -

                    Hours

                    -
                    37.5
                    -

                    -

                    Inclusiveness

                    -

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -

                    -
                    ",,https://jobs.td.com/en-CA/jobs/17931454/data-scientist-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-06T21:03:00.000Z,False,0,7,47,https://talenthub.vectorinstitute.ai/jobs/203172630-data-scientist-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17931454/data-scientist-ii-toronto-ca/,expired,2023-03-09T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -754338f3-f49e-4db7-83c4-2e6b85c5d975,211702252,Google,"Software Developer III, Performance, Google Cloud Platform AI and Industry Solutions",on_site,"Toronto, ON, Canada",2023-04-03T17:20:03.539Z,"
                    -
                    -2023-03-31T18:30:50.778Z
                    -
                      -
                    • Share
                    • -
                      Save -
                    • -

                    Software Developer III, Performance, Google Cloud Platform AI and Industry Solutions

                      -
                    • Google
                    • -
                    • In-office:
                      - Waterloo, ON, Canada -
                    • -
                    -
                    -

                    Qualifications

                    -

                    Minimum qualifications:

                    -
                      -
                    • Bachelor’s degree or equivalent practical experience.
                    • -
                    • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
                    • -
                    • 2 years of experience with data structures or algorithms.
                    • -
                    -

                    Preferred qualifications:

                    -
                      -
                    • Master\'s degree or PhD in Computer Science or related technical fields.
                    • -
                    • 2 years of experience with performance, large scale systems data analysis, visualization tools, and/or debugging.
                    • -
                    • Experience developing accessible technologies.
                    • -
                    -
                    -
                    -
                    -

                    About the job

                    -

                    Google\'s software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We\'re looking for software developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

                    -

                    With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

                    -

                    Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

                    -
                    -
                    -
                    -

                    Responsibilities

                      -
                    • Write product or system development code.
                    • -
                    • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
                    • -
                    • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
                    • -
                    • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
                    • -
                    • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
                    • -
                    -
                    -

                    Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                    Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and Know your rights: workplace discrimination is illegal. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                    To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                    To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                    At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                    We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                    Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                    -
                    -
                    -
                    ",,"https://careers.google.com/jobs/results/101087011349111494-software-developer-iii-performance-google-cloud-platform-ai-and-industry-solutions/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-04-06T21:05:00.000Z,False,0,2,21,https://talenthub.vectorinstitute.ai/jobs/211702252-software-developer-iii-performance-google-cloud-platform-ai-and-industry-solutions-at-google,,expired,2023-04-03T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,New Posting, -464b7176-cf8d-4cbc-87a1-5fbb71b72631,206569077,TD Bank Group,Data Scientist I,on_site,"Toronto, ON",2023-03-20T17:24:05.425Z,"
                    -

                    Company Overview

                    -
                    -

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    -

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    -
                    -

                    -

                    Department Overview

                    -

                    We are looking for world-class engineers to tackle cutting-edge problems of applying Machine Learning (ML) in the real world. Working across TD, you will be part of a leading financial services brand, have access to some of the largest datasets and innovate with leading machine learning scientists and engineers. Unleash the power of Machine Learning by helping us engineer models that scale and are rapidly deployable and, in the process, positively impact millions of customers. The goal of the team is to develop framework and automation solutions to help build and deploy robust and high-performing models through introducing software engineering best-practices.

                    -

                    -

                    Job Description

                    -
                    -

                    About this Role

                    -

                    As Machine Learning Engineer at TD, you will work with ML Scientists to learn their modelling workflow, so that you can design abstractions and build components that can be combined to build high quality models. You will work to develop and/or integrate tools that help with model monitoring, governance and explainability. You will work with ML Platform team to make sure these models can be trained and deployed on our computing infrastructure, taking advantage of cloud technologies like Azure Kubernetes and more.

                    -

                    Must-Have

                    -
                      -
                    • Experience working on high-performance engineering teams and being part of cross-functional delivery teams
                    • -
                    • Experience with building and scaling data-intensive software in Python
                    • -
                    • Knowledge of machine learning modelling workflow and manage machine learning lifecycle
                    • -
                    • Experience building and manage a machine learning data pipeline
                    • -
                    • You value good software design and sweat over details in code and API design
                    • -
                    • You enjoy learning new technology and educating others
                    • -
                    • You strive to communicate clearly and with empathy
                    • -
                    • You take great personal pride in building robust and scalable software
                    • -
                    • You are highly accountable and have a strong sense of ownership
                    • -
                    • Ability to do detailed code reviews and give thoughtful feedback
                    • -
                    -

                    Nice to have:

                    -
                      -
                    • Experience building a library or a framework
                    • -
                    • Knowledge of machine learning algorithms
                    • -
                    • Experience with Azure cloud stack
                    • -
                    • Data analytics
                    • -
                    • Knowledge with C++
                    • -
                    • Knowledge of one of javascript framework, such as React, Vuejs or Angular
                    • -
                    -
                    -

                    -

                    Requirements

                    -
                    -What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    -
                      -
                    • University or post-graduate degree
                    • -
                    • Strong academic background (e.g., computer science, engineering)
                    • -
                    • 2+ years relevant experience
                    • -
                    -
                    -

                    -

                    Additional Information

                    -
                    -#LI-Hybrid #datascientist
                    -

                    -

                    Hours

                    -
                    37.5
                    -

                    -

                    Inclusiveness

                    -

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -

                    -
                    ",,https://jobs.td.com/en-CA/jobs/17480967/data-scientist-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-06T17:29:04.523Z,False,0,20,70,https://talenthub.vectorinstitute.ai/jobs/206569077-data-scientist-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17480967/data-scientist-i-toronto-ca/,expired,2023-03-20T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -9b195119-e93e-4442-a23b-1967692a12b3,209219323,TD Bank Group,Data Scientist,on_site,"Toronto, ON",2023-03-27T17:24:03.283Z,"
                    -

                    Company Overview

                    -
                    -

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    -

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    -
                    -

                    -

                    Department Overview

                    -
                    -

                    What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                    -

                    As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                    -

                    TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                    -
                    -

                    -

                    Job Description

                    -
                    -

                    Delivery

                    -
                      -
                    • Broad technical skills in all facets of data science: advanced analytics, statistical modelling, machine learning & data engineering
                    • -
                    • Build complex statistical models that learn from and scale to petabytes of data.
                    • -
                    • Parse vast data, identify needs and analytics trends, employs industry leading techniques and theories to improve business practices across the enterprise
                    • -
                    • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core deliverables
                    • -
                    • Accountable to lead & deliver complex, Agile, cross-functional projects that range widely in design, size, scale, scope and techniques
                    • -
                    • Self-directed with the ability to progress strategic opportunities in down times and effectively prioritize in busy times
                    • -
                    -

                    Expertise & Leadership

                    -
                      -
                    • Analytical thought leadership and stay current on developments in data mining and the application of data science
                    • -
                    • Serve as an authority on a given business domain and provide business expertise to place context around analytics discovery
                    • -
                    • A champion in the D&A community for TD’s platforms and strategies, scanning for cutting edge solutions, and proactively identifying opportunities to advance tools, techniques and approaches
                    • -
                    • Communication and Stakeholder Management
                    • -
                    • Work closely with stakeholders to identify opportunities, implement solutions, and serve as an ambassador for data science across the enterprise
                    • -
                    • Advanced communication, business acumen and stakeholder management competencies
                    • -
                    • Collaborate with support functions such as risk, technology, model validation, OCDO etc. to increase the velocity of data science by enhancing policies, protocols & procedures within TD’s risk appetite
                    • -
                    • Exceptional collaborator in a high-interaction environment
                    • -
                    • Foresee needs from business partners to prescribe effective solutions
                    • -
                    • Leverage empirical evidence and facts to influence/support decision making
                    • -
                    • Collaborate with business partners to inform analytics output, support strategic planning, and prioritize key initiatives
                    • -
                    • Take ownership of team targets and strategies such as value generation and contribute to the overall management and culture of the team
                    • -
                    -
                    -

                    -

                    Requirements

                    -
                    -What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    -
                      -
                    • Ability to translate business requirements into technical and analytical tasks
                    • -
                    • Demonstrated track record of leading major data science projects [or demonstrate ability]
                    • -
                    • Technical understanding and critical thinking to challenge status quo
                    • -
                    • Strong problem-solving skills, mathematical and data literacy
                    • -
                    • Flexibility to adapt and run with contending priorities and the ability to shift focus as dynamic business needs evolve
                    • -
                    • Strong interpersonal and communication skills, both written and verbal ability to tell a compelling story which can be consumed by business partners/executives
                    • -
                    • Demonstrated experience in data transformation and data manipulation.
                    • -
                    • Aspirations to build in-depth industry and retail banking knowledge including current trends in data, analytics and technology
                    • -
                    • Master’s degree or PhD in relevant fields; Mathematics, Physics, Biotech, Computer Engineering, Electrical Engineering, Geomatics
                    • -
                    • Expert proficiency with industry data tools; python/Ruby, R, SQL and Scala, cloud architecture
                    • -
                    • Strong understanding of data manipulation and visualization techniques, with preference to Esri – ArcGIS, Alteryx, SQL and Excel
                    • -
                    • Experience with big data tools, such as SCALA, SPARK, HADOOP, HDFS, HIVE, etc.
                    • -
                    • Experience with machine learning including supervised and unsupervised models.
                    • -
                    -
                    -

                    -

                    Additional Information

                    -
                    -#datascientist #LI-Hybrid

                    -

                    Locations:
                    Toronto
                    Montreal
                    Markham
                    London
                    Ottawa

                    -

                    * L7- L10

                    -
                    -

                    -

                    Hours

                    -
                    37.5
                    -

                    -

                    Inclusiveness

                    -

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -

                    -
                    ",,https://jobs.td.com/en-CA/jobs/15700638/data-scientist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-06T17:29:04.523Z,False,0,13,55,https://talenthub.vectorinstitute.ai/jobs/209219323-data-scientist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15700638/data-scientist-toronto-ca/,expired,2023-03-27T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -45cb9f66-6d0f-4550-a865-d01a857d88bb,206567569,CIBC,"Senior Analyst - Analytics, Performance & Operations - Pension Investment Management",on_site,"Ontario, Canada",2023-03-20T17:06:06.580Z,"
                    -

                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                    -

                    -

                    At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                    -

                    -

                    To learn more about CIBC, please visit CIBC.com

                    -

                    -

                    Job Description

                    -

                    -

                    What You’ll Be Doing

                    -

                    As the Senior Analyst - Analytics, Performance & Operations, you will provide support to all areas of pension investment management and related functions. Your primary responsibilities include, but not limited to, daily investment administration and performing cash management activities, providing reports in a timely manner to support the department’s investment monitoring and oversight activities, as well as performing certain risk management functions relating to the Plan’s funded positions, balance sheet impact, hedging programs and liquidity capacity.

                    -

                    -

                    At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                    -

                    -

                    How You’ll Succeed

                    -
                      -
                    • Perform Analytics and Modelling – Conduct in-depth analysis and modelling that supports top-down pension management recommendations, asset allocation decisions, portfolio construction optimization and development of bespoke asset class strategies. Maintain and enhance models of pension assets and liabilities.

                    • -
                    • Reporting and Attribution Analysis – Support the quarterly investment reporting process including the production of investment returns, validating returns and related data (with the Pension Plan’s underlying investment managers and custodian), attribution analysis, identification of key performance drivers, portfolio positioning review, aggregation of risk positions across investments, and the generation of final reports. Run monthly pension reports including estimates of funded status, balance sheet impact, attribution of changes, and key risk sensitivities. Co-ordinate with other investment support and finance areas to ensure inputs for reporting are received and are accurate as required and to understand any issues on valuation, accounting etc. that impact reporting.

                    • -
                    • Governance Support – Support the periodical updating of investment policies, pension governance documents and the business unit’s process documentation.

                    • -
                    • Compliance Monitoring - Monitor portfolio compliance against defined internal and external regulatory policies.

                    • -
                    • Operational Management - General operational management of the investment program including investment administration, cash management and ensuring control processes are upheld at all times .

                    • -
                    • Liquidity Management - Maintain the liquidity and leverage reporting dashboard to ensure investments and strategies are maintained through market dislocation events.

                    • -
                    • Oversight Support of the Public Markets Portfolio - Support the Director, Public Markets by assisting with the manager monitoring processes, including manager reviews, oversight, evaluation, compliance monitoring and the collation ESG data from the investment managers.

                    • -
                    -

                    -

                    Who You Are

                    -
                      -
                    • You can demonstrate experience. You have 5+ years of experience in a mid-size or large pension plan, an investment/actuarial consulting firm, or an investment management firm.

                    • -
                    • You can demonstrate knowledge. Broad knowledge of Defined Benefit pension plans and federal pension legislation. Good knowledge of and possess a keen interest in capital markets (especially equities, liquid alternatives and bonds).

                    • -
                    • You have a degree/diploma. In Business, Finance, Actuarial Science and/or related disciplines. Having (or are working towards) a certification (CFA, FRM) or graduate degree (MBA), will be considered an asset.

                    • -
                    • You can demonstrate strong computer skills. You have strong Excel capabilities and preferably VBA modelling skills. Possessing a sound working knowledge of Bloomberg. SharePoint and risk systems such as MSCI Barra will be considered an asset. As well, experience in creating high quality and sophisticated presentations on PowerPoint will be considered a valuable skill.

                    • -
                    • You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way. You have the ability to proactively and creatively solve problems to move initiatives forward backed by strong analytical thinking and experience.

                    • -
                    • You understand that success is in the details. You notice things that others don\'t. Your critical thinking skills help to inform your decision making. You are detailed oriented.

                    • -
                    • You’re goal oriented. You’re motivated by accomplishing your goals and delivering your best to make a difference. You understand and appreciate that meeting stringent deadlines is of utmost importance in pension management.

                    • -
                    • You\'re motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life. You will be comfortable collaborating with internal committees, pension actuarial and investment consultants and advisors, external subject matter experts and consultants, Treasury, Risk Management, Finance, Human Resources, Tax, Legal, Controllers, Audit, and counterparts at major financial institutions and pension plans.

                    • -
                    • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                    • -
                    -

                    -

                    What CIBC Offers

                    -

                    At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                    -
                      -
                    • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                    • -
                    • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                    • -
                    • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                    • -
                    -

                    -

                    -

                    What you need to know

                    -
                      -
                    • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                    • -
                    • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                    • -
                    -

                    -

                    -

                    -

                    -

                    -

                    Job Location

                    Toronto-161 Bay St 11th Floor

                    Employment Type

                    Regular

                    -

                    Weekly Hours

                    37.5

                    Skills

                    -

                    Analytical Models
                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Analyst---Analytics--Performance---Operations---Pension-Investment-Management_2243106?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-04-06T17:11:02.989Z,False,0,3,16,https://talenthub.vectorinstitute.ai/jobs/206567569-senior-analyst-analytics-performance-operations-pension-investment-management-at-cibc,,expired,2023-03-20T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,College Diploma,New Posting, -766ff80d-2526-4da8-8a7a-2be99a5ea09f,203172634,TD Bank Group,"Manager, MBNA Fraud Strategy",on_site,"Markham, ON",2023-03-09T17:24:03.692Z,"
                    -

                    Company Overview

                    -
                    -

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    -

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    -
                    -

                    -

                    Department Overview

                    -
                    -

                    Department Overview:

                    -

                    We can’t afford to be boring. Neither can you. The scale and scope of what TD does may surprise you. The rapid pace of change makes it a business imperative for us to be smart and open-minded in the way we think about strategy. TD’s strategy and business teams become more intertwined as new opportunities present themselves. This new era in banking does not equal boring. Not at TD, Not at Risk, Not at Fraud strategy, anyway.

                    -

                    The Enterprise Protect is an enterprise-level body that strives to protect TD Bank Group customers, shareholders and employees from financial crimes and fraud. Aligned with TD strategy and risk appetite, Enterprise Protect develops and evolves enterprise policies, advanced analytics capabilities and operational processes to improve governance, oversight, and collaboration between fraud management and other control functions within the Bank.

                    -

                    The Canadian Performance Management (CPM) team operates within Enterprise Protect in a fast-paced environment requiring both strategic and tactical responses to changing fraud patterns and provides a unique opportunity to apply critical thinking and leadership skills in an innovation centric environment.

                    -
                    -

                    -

                    Job Description

                    -
                    -

                    Job Description

                    -

                    This role will be responsible for managing a team of Fraud Business Insights Analysts to ensure they reliably meet the loss and customer experience goals for MBNA portfolio. In this role, the manager will develop talent, ensure the team meets its partner commitments, help drive the timely and high-quality delivery of results and shape the priorities and backlog for their program. In addition, the manager role takes on a more active role with our business partners, owning the monthly and quarterly performance discussions to ensure the various lines of business fully understand the recent trends and emerging risks to their programs.

                    -

                    Accountabilities:

                    -

                    Fraud Management

                    -
                      -
                    • Accountable for fraud loss targets and the customer experience
                    • -
                    • Reviews and refines fraud strategy recommendations made by the Team
                    • -
                    • Strategizes on adjustments to shifting network rules, liability requirements or other exogenous factors
                    • -
                    • Owns the strategy design and configuration in all fraud prevention platforms (e.g. Falcon, TSYS, FIS, SQN, PRM, Citadel, DPS, VCas, Avant, Experian, Transunion), in alignment with the Change Management protocols
                    • -
                    • Supports case valuation and prioritization to optimize fraud management
                    • -
                    • Are a subject matter expert on the end-to-end operational process, transaction liability and regulatory requirements
                    • -
                    • Supports decision-making at the executive level
                    • -
                    • Manages team’s workload and ad-hoc requests to address emerging trends and respond to partner’s requests
                    • -
                    • Produce timely diagnostics to identify system, strategy and operational issues
                    • -
                    • Uncovers and resolves process gaps throughout the Bank, helping inform departmental priorities
                    • -
                    • Provides end to end fraud cycle support to all strategy teams for advanced technical builds and consultation for continuous improvement
                    • -
                    • Identify, track, and provide solutions to ongoing fraud vectors and cross-portfolio threats
                    • -
                    • Think forward and provide early gap mitigation to emerging threat vectors globally
                    • -
                    • Owns change socialization and process adherence for new strategies
                    • -
                    -

                    Talent Management

                    -
                      -
                    • Lead and develop great talent, while helping ensure each job is a great job
                    • -
                    • Helps ensure their team reliably meets timelines on known project work
                    • -
                    • Ensures the team is quickly identifying and addressing emerging fraud trends
                    • -
                    -

                    Managing the Financial Cycle

                    -
                      -
                    • Participates in quarterly and annual fraud loss forecasting exercises
                    • -
                    • Accurately talk to drivers of financial variance during monthly commentary
                    • -
                    -

                    Partner Support

                    -
                      -
                    • Works with business partners to understand new intent, and to identify the incremental fraud risks associated with that intent
                    • -
                    • Collaborates with business partners to develop solutions that minimize fraud risk while enabling business partners to achieve bank strategic priorities
                    • -
                    • Provides IT release support to ensure projects reliably deliver on fraud requirements
                    • -
                    • Support the continuous improvement agenda for our operational partners
                    • -
                    • Maintain strong relationships with internal stakeholders such as Fraud Operations, Internal Business Partners, Vendor Managers etc.
                    • -
                    • Act as a subject matter expert and represents the team or bank at project meetings or industry forums
                    • -
                    -
                    -

                    -

                    Requirements

                    -
                    -Requirements:

                    -
                      -
                    • Undergraduate degree from a technical domain (e.g. finance, engineering, mathematics/statistics computer science), preferably from a STEM program
                    • -
                    • 4+ years experience in an analytical capacity
                    • -
                    • Experience using analytical software tools such as Python, R, SQL, Tableau and Excel for data analysis, automation and reporting
                    • -
                    • In-depth knowledge of data science tools such as NumPy, pandas, matplotlib, scikit-learn/TensorFlow/Keras or equivalent
                    • -
                    • Knowledge and understanding of machine learning methods with experience in deployment and implementation
                    • -
                    • Experience with automation tools and proven implementation record
                    • -
                    • Ability to quickly and independently structure and deliver on new problems not previous tackled by the bank
                    • -
                    • Demonstrated analytical, modeling and problem solving skills
                    • -
                    • Creative, Critical, Conceptual thinker, ability to wade through data and arrive at conclusions
                    • -
                    • Ability to communicate strategy analysis to both technical and non-technical team members, either verbally or via documentation
                    • -
                    • Ability to take initiative and work independently under tight timelines
                    • -
                    -
                      -
                    • Ability to work collaboratively and build relationships
                    • -
                    • Ability to effectively manage multiple projects and priorities simultaneously
                    • -
                    -
                      -
                    • Motivated to constantly strive to find innovative ways to enhance capabilities
                    • -
                    • Strong interpersonal and leadership skills and comfort in interacting with all levels of management
                    • -
                    -

                    Preferable

                    -
                      -
                    • Experience in fraud management is an asset
                    • -
                    • Experience in people management is an asset
                    • -
                    • Knowledge of fraud detection platforms: TSYS (Cardguard, ADSI, ADSII, Determinator), Cardinal Commerce/VCAS, VRM is an asset
                    • -
                    • Agile experience is an asset
                    • -
                    -
                    -

                    -

                    Additional Information

                    -
                    -Inclusiveness

                    -

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve, and creating an environment where every employee has the opportunity to reach her/his potential.
                    TD is committed to providing accommodations. If you require an accommodation, we will work with you to meet your needs.

                    -

                    #tdcybersecurity #LI-Post

                    -
                    -

                    -

                    Hours

                    -
                    37.5
                    -

                    -

                    Inclusiveness

                    -

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -

                    -
                    ",,https://jobs.td.com/en-CA/jobs/17824284/manager-mbna-fraud-strategy-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-08T20:27:52.848Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/203172634-manager-mbna-fraud-strategy-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17824284/manager-mbna-fraud-strategy-markham-ca/,expired,2023-03-09T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -2f8488c6-71f6-4834-b632-696260f5b0fc,213973186,TD Bank Group,BI & Reporting Analyst III,on_site,"Toronto, ON",2023-04-10T17:24:01.945Z,"
                    -

                    Company Overview

                    -
                    -

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    -

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    -
                    -

                    -

                    Department Overview

                    -
                    -

                    What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.

                    -

                    The Business Intelligence group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization.

                    -

                    This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise.

                    -

                    Joining us in Business Intelligence & Reporting is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                    -
                    -

                    -

                    Job Description

                    -
                    -

                    Looking for a role where career opportunity and growth keeps pace with your own initiative and growing knowledge in business intelligence?

                    -

                    In this role, you will work with a focused, specialized team to provide specialized guidance, reports and insights to business leaders and other enterprise partners. As data’s role in providing world-class products and services to our customers grows, we’ll look to your specialized knowledge in the development, adoption and ongoing evolution of the best reporting and business intelligence capabilities. As an experienced Analyst, you can own your space, dig in and play a key role in ground-breaking projects that are helping to shape data & analytics and take TD into the future of banking.

                    -

                    As an Analyst III, Business Intelligence & Reporting Analyst, you will:

                    -
                      -
                    • Produce specialized reporting packages, dashboards and scorecards for businesses, with focus on the following functions: to understand objectives and deliver insights and commentary that can inform and shape product design and development, customer engagement, account management and business decision-making,
                    • -
                    • Own the implementation of initiatives in support of overall business/function strategy
                    • -
                    • Conduct analysis to provide enhanced BI to inform management leadership team
                    • -
                    • Create complex and comprehensive BI reporting packages and dashboards utilizing data infrastructure, localized datamarts and external data sources
                    • -
                    • Validate the quality and integrity of the data included in the Reporting Packages and Dashboards
                    • -
                    • Develop important and insightful commentary/insights on new and existing reporting packages.
                    • -
                    • Work with business partners to understand business objectives and develop valuable reporting and ad-hoc data extracts
                    • -
                    • Understand business drivers, definitions and metrics in order to interpret findings, take action and provide relevant direction
                    • -
                    • Lead the development and implementation of portfolio reporting (e.g. acquisition, attrition, portfolio growth, profitability, etc.)
                    • -
                    • Provide (and may develop) complex reporting, analysis, and assessments at the functional or enterprise level
                    • -
                    • Demonstrate your professional experience to provide specialized guidance/assistance to function supported
                    • -
                    • Employ good understanding of reporting and BI tools, platforms, and techniques as well as strong knowledge of various data sources (and ability to connect to multiple data sources and systems relevant to the business unit supported)
                    • -
                    • Connect and query data or obtain the data and prepare summaries and reports
                    • -
                    • Focus on short to medium-term (weekly-monthly), non-routine specialized/ complex issues and/or raised issues and other matters
                    • -
                    • Independently perform tasks end to end
                    • -
                    -
                    -

                    -

                    Requirements

                    -
                    -

                    What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    -
                      -
                    • Undergraduate degree or technical certificate
                    • -
                    • Three (3) or more years relevant experience
                    • -
                    -
                    -

                    -

                    Hours

                    -
                    37.5
                    -

                    -

                    Inclusiveness

                    -

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -

                    -
                    ",,https://jobs.td.com/en-CA/jobs/18112309/bi-reporting-analyst-iii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-11T20:00:00.000Z,False,0,2,4,https://talenthub.vectorinstitute.ai/jobs/213973186-bi-reporting-analyst-iii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18112309/bi-reporting-analyst-iii-toronto-ca/,expired,2023-04-10T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -4abbe0a8-da6e-41ef-abc3-c1e7b4bddb48,226981547,BMO Financial Group,"Senior Analyst, Quantitative Analysis and Strategy",on_site,"Ontario, Canada",2023-05-18T15:39:01.795Z,"
                    -

                    Application Deadline:

                    05/21/2023

                    -

                    -

                    Address:

                    100 King Street West

                    -

                    -

                    Job Family Group:

                    Data Analytics & Reporting

                    -

                    -

                    -

                    -

                    Applies knowledge of advanced analytic algorithms and technologies to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups.

                    -
                      -
                    • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • -
                    • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                    • -
                    • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
                    • -
                    • Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
                    • -
                    • Applies scripting / programming skills to assemble various types of source data into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                    • -
                    • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., Analytical solutions, mathematical models, algorithms, machine learning, deep learning) to test, verify, refine hypotheses.
                    • -
                    • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                    • -
                    • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                    • -
                    • Performs experimental design approaches to validate finding or test hypotheses.
                    • -
                    • Uses the appropriate algorithms to discover patterns.
                    • -
                    • Builds effective relationships with internal/external stakeholders and ensures alignment.
                    • -
                    • Supports development of tools and delivers training for data analytics and AI.
                    • -
                    • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • -
                    • Leads/participates in the design, implementation and management of core business/group processes.
                    • -
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                    • -
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • -
                    • Works independently on a range of complex tasks, which may include unique situations.
                    • -
                    • Broader work or accountabilities may be assigned as needed.
                    • -
                    -

                    Qualifications:

                    -
                      -
                    • Post-secondary degree in related field of study is preferred.
                    • -
                    • Knowledge of visualization techniques and concepts (e.g. PowerBI, Tableau).
                    • -
                    • Experience with programming languages (e.g. SQL, Python, SAS) and machine learning /deep learning algorithms/packages.
                    • -
                    • Experience in statistical analysis, data mining, and data cleansing / transformation.
                    • -
                    • Technical proficiency gained through education and/or business experience.
                    • -
                    • Verbal & written communication skills - In-depth.
                    • -
                    • Collaboration & team skills - In-depth.
                    • -
                    • Analytical and problem solving skills - In-depth.
                    • -
                    • Influence skills - In-depth.
                    • -
                    • Data driven decision making - In-depth.
                    • -
                    -

                    -

                    Additional Job Description

                    -

                    -

                    The Quantitative Analysis and Strategy (QAS) team works closely with our partners within Corporate Treasury i.e. Structural Market Risk, Liquidity & Funding and Portfolio Management teams, and our Lines of Business partners across the bank. The team works to identify and quantify risks and opportunities through analyzing and modeling origination, utilization, prepayment behavior, pricing sensitivities, market size and revenue opportunities. The analysis and modeling work in the areas of mortgage, home equity, C&I and CRE loans, consumer & commercial deposits, various securities including MBS, ABS, Muni bonds, etc. are instrumental in pricing, valuation, interest rate risk measurement and hedging, balance sheet management and optimization strategies.

                    -

                    -

                    The Senior Analyst, Quantitative Analysis and Strategy in Corporate Treasury is ideal for one who wants to work on developing, enhancing, implementing and maintaining quantitative models and analytics suites. They would do so by using conventional econometric and machine learning techniques, for the purposes of asset liability and interest rate risk management, customer analytics, profitability, and stress testing under various macro-economic scenarios. This involves analyzing large account-level and transaction-level data, articulating the problem statement, and specifying the most appropriate quantitative solution.

                    -

                    -

                    New grads with demonstrable problem solving and critical thinking skills will be considered.

                    -

                    -

                    -

                    We’re here to help

                    -

                    -

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    -

                    -

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    -

                    -

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    -

                    -

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    -

                    -

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    -
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Analyst--Quantitative-Analysis-and-Strategy_R230005853?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-05-22T15:44:03.460Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/226981547-senior-analyst-quantitative-analysis-and-strategy-at-bmo-financial-group,,expired,2023-05-18T15:39:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -c079598a-dc67-4553-9935-f817a3dc45da,221076228,Scotiabank,Velocity - Software Engineer Internship/Co-Op - Fall 2023,on_site,Canada : Ontario : Toronto,2023-05-01T17:22:03.033Z,"

                    -

                    -

                    -

                    -

                    Requisition ID: 177544

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    -

                    Term: September - December 2023
                    Application Deadline: 05/19/2023

                    -

                    -

                    There's no better way to find your dream job than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                    -

                    -

                    The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

                    -

                    -

                    Is this role right for you? In this role, you will:

                    -
                    • Work with a squad of go-getters to deliver clean and effective solutions
                    • Produce workable prototypes to illustrate concepts iteratively and be able to provide detailed specifications for use by the other team members
                    • Deliver high quality implementations by practicing best software development practices
                    • Be a culture champion pivotal in driving culture change at all levels
                    • Experiment & learn!
                    • -
                    -

                    -

                    Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                    -
                    • You are currently enrolled in post-secondary education.
                    • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                    • You enjoy being involved in extracurricular activities such as conferences, clubs, and hackathons.
                    • You have knowledge/experience in:
                    • -
                    -
                    • Software Development Life Cycle (SDLC)
                    • Database knowledge (Postgres, Oracle, SQL Server, etc.)
                    • Programming Languages (Java, JavaScript, React, C, C++, etc.)
                    • Development tools (Jenkins, Maven, Artifactory, etc.)
                    • Agile Methodologies (Scrum, Kanban, XP. etc.)
                    • -
                    -

                    -

                    What’s in it for you?

                    -
                    • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                    • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                    • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                    • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                    • -
                    -

                    -

                    How do I apply?

                    -

                    For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationshipsover resumes and are focused on learning about who you are and what youre interested in to uncover your true potential.Instead,we ask that as part of your application you complete the below:

                    -

                    -
                    1. Complete your PLUM Profile here and save as a screenshot.
                    2. Complete a short one-way video interview here.
                    3. Once you have completed your Plum Profile and one-way video interview, apply to the role. Reminder: when the application asks for your resume, instead upload the screenshot of your PLUM Profile!
                    4. -
                    -

                    -

                    *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                    -

                    -

                    -

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Software-Engineer-InternshipCo-Op-Fall-2023-ON/569923117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-22T15:57:03.736Z,False,0,4,18,https://talenthub.vectorinstitute.ai/jobs/221076228-velocity-software-engineer-internship-co-op-fall-2023-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Software-Engineer-InternshipCo-Op-Fall-2023-ON/569923117/,expired,2023-05-01T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -0e4d9a33-c72c-4052-b976-f5f72ec9756b,221076252,Scotiabank,"Senior Analyst, Business Intelligence",on_site,Canada : Ontario : Toronto,2023-05-01T17:22:05.629Z,"

                    -

                    -

                    -

                    -

                    Requisition ID: 177374

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    -

                    Purpose of Job:

                    -


                    The candidate is a key player within the Risk Report Reporting & Analytics team, supporting strategic enhancements to the Risk & Regulatory reporting solutions.

                    -

                    -

                    The candidate is a part of a team of risk reporting specialists that produce daily, weekly, monthly, quarterly, and annual risk reports for senior management. The candidate will focus on designing, developing, and implementing solutions for GRM in areas of management reporting, and other risk initiatives.

                    -

                    -

                    The candidate will work closely with the Senior Manager to collaborate with business stakeholders to review and assess business needs for improved risk information and to help define system enhancements to respond to business, operational and management requirements. The candidate activities include data analysis, business requirement solution determination and documentation, and supporting system enhancement development and implementation. The individual must thrive on challenge, be proactive and dynamic, demonstrate initiative and sound judgement, team player, be eager to learn, and be customer focused.

                    -


                    Major Accountabilities:

                    -
                    • Work with the Senior Manager and the leadership team to develop strategic opportunities for the design, development and implementation of new solutions or enhancements to existing applications by:
                    • -
                    -

                    -625; Developing and implementing strategies for increasing the effectiveness and quality of non-retail risk reporting to senior management, executive and board reporting including developing standardized metrics and templates
                    -625; Receiving business requirements, and assess against data availability and risk management to determine the right delivery approach for new reports
                    -625; Ensure timeline and delivery commitments are tightly managed and aligned with reporting or project deliverables
                    -625; Effectively manage operational risk and change with a continuous focus on process optimization and improvement.

                    -
                    • Responsible for the development and production of monthly and quarterly senior management risk reports/regulatory reports.
                    • Be able to explain variances to management and regulators.
                    • Enhance reporting capabilities by improving analytical programs. The incumbent is responsible for developing new augmented analytics required to support non-retail credit risk lending, including the development of enhanced industry and risk reporting, and collaborating with credit officers to develop new reporting.
                    • Assist in the redesign of the Risk Reporting & Analytics processes to improve efficiencies, facilitate analysis, shorten report generation times, and migrate reports to common platforms
                    • Test enhancements / changes to existing data sources and identifying, monitoring and communicating data quality issues.
                    • Automate and test new reports, revising reporting as necessary.
                    • Develop and write queries (that are suitable and scalable) for ‘big data’, build models, and ensure data is accessible to team members, and the data sets are working smoothly.
                    • Expected to distill technical details into business terms (e.g., connects the dots) enabling fact-based decisions (based on analysis of past data) for business stakeholders. Adheres to Business Intelligence framework and methodology.
                    • Able to analyze complex business problems and issues using data from internal and external sources to provide insight to decision-makers. Identifies and interprets trends and patterns in datasets to locate root causes/drivers.
                    • Running ad-hoc queries for internal stakeholders.
                    • Effectively communicating with GRM, IT&S, Finance, Retail, and Credit groups.
                    • -
                    -


                    Education/Work Experience/Designations:

                    -

                    A minimum of two or more years of progressive, relevant and practical experience with world class organizations, preferably with financial institutions, in information management fields, and a proven track record of success in implementing effective information systems that support and generate profitable and informed decision-making in the financial services sector.

                    -

                    -

                    The incumbent must have experience and knowledge of big data, complex data models, testing, problem solving and data analysis experience in order to work cross functionally within an environment of multiple data repositories, multi-systems, multi-architectures, and multi-business lines. Particularly, excellent knowledge and experience in the following areas are essential:

                    -


                    -625; Independently resolve and document complex problems to meet business needs.
                    -625; Create, document and execute complex test cases.
                    -625; Continually acquire and enhance knowledge of risk management applications and Bank's risk management areas.
                    -625; Provide on-going support to our partners and business stakeholders.
                    -625; Assist with managing projects and coordinate work with Project Teams and provide post rollout support for system enhancements.
                    -625; Ability to handle multiple projects and activities in a timely, organized manner.
                    -625; Ability to facilitate meetings and action plans.
                    -625; Working with large amounts of data from a variety of different sources
                    -625; Strong verbal and written communication and presentation skills - to present findings / results to business leaders.
                    -625; Knowledge of project and process management disciplines.
                    -625; Strong time management skills, ability to multi-task, while being results oriented and team focused.
                    -625; Experience effectively working in a global matrix team, across a range of functions, seniority and geography.
                    -625; A broad range of cross-functional business, industry and functional knowledge is required to integrate technical solutions with business requirements.
                    -625; A strong knowledge of the Bank's policies & processes, technical platform applications and financial information systems would be an asset.
                    -625; Effective research and analysis of business requirements and functional specifications leading to the completion of complex functional specifications or External Design Documents.
                    -625; Experience in data analysis and data modeling and the ability to grasp a customized repository (as defined by a relational or dimensional database) approach.
                    -625; Experience with SQL, Power BI is preferred.
                    -625; Experience of data analysis, BI Tools and Cloud platforms is a definite asset.

                    -


                    Advanced graduate university degree (typically in mathematics, business administration, technology, statistics or equivalent). CFA or FRM designation an asset. Previous Banking and/or Credit experience is desirable.    

                    -

                    -

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst%2C-Business-Intelligence-ON-M5H1H1/569876817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-23T21:23:00.000Z,False,0,3,12,https://talenthub.vectorinstitute.ai/jobs/221076252-senior-analyst-business-intelligence-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst%2C-Business-Intelligence-ON-M5H1H1/569876817/,expired,2023-05-01T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -3813bdf4-cdf7-4c35-91d8-32b8ece62f05,222290776,TD Bank Group,Risk Model Validation Intern/Co-op,on_site,"Toronto, ON",2023-05-04T17:24:05.490Z,"
                    -

                    Company Overview

                    -
                    -

                    All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                    -

                    Why TD?

                    -

                    TD’s Colleague Promise: A better you. A better us.

                    -

                    A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                    -
                    -

                    -

                    Department Overview

                    -
                    -

                    Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                    -

                    Our Co-op/Intern Programming is offered with select Co-op and Internship roles, and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                    -
                      -
                    • Leadership talks with key Leaders from across the organization
                    • -
                    • Lunch and Learns on topics such as Innovation
                    • -
                    • Diversity and Inclusion and Personal Branding and so much more
                    • -
                    -

                    For TD Bank Group to grow profitably, it must selectively take and manage risks. TD recognizes that a strong risk culture and approach to risk management is fundamental to our success.

                    -

                    TD’s risk management approach is comprehensive and proactive and combines experience and specialized knowledge of individual business segments, risk professionals, and the corporate oversight functions. It is based on enabling TD’s business to understand their risks and developing the policies, processes and controls required to manage these risks appropriately in line with the Bank’s strategy and risk appetite.

                    -
                    -

                    -

                    Job Description

                    -
                    -

                    TD Model Validation (MV) group is responsible for the independent validation and approval of analytical models used for risk, pricing, hedging, and capital evaluation for portfolio of financial products. This also includes validation of decision-making models, such as credit approval and behavioral scoring models.

                    -

                    The successful candidate will be a member of the Innovation Lab in MV group providing advanced data and software solutions for internal stakeholders. As a student part of the Innovation Lab in TD MV group, you will have the opportunity to join different data science and software development projects. Together with other team members, you will build complex, and highly visible solutions to enable automations in multiple business processes. We will provide you the necessary tools, resources and guidance to achieve both business and personal goals.

                    -
                    -

                    -

                    Requirements

                    -
                    -
                      -
                    • Currently enrolled in an undergraduate degree majoring in Business, Statistics, Mathematics, Financial Analysis, Risk Management, Computer Science or equivalent
                    • -
                    • Must be enrolled in an undergraduate degree with the intent of going back to school at of the start of your work term
                    • -
                    • Familiarity with SAS and Python.
                    • -
                    • Relational database SQL skills for data mining, extraction and statistical analysis.
                    • -
                    • Strong excel Advanced MS Excel and MS Access for data analysis (Pivot, Filter, Formulas, Vlookup, VBA)
                    • -
                    • Dedicated, detail oriented, and an ability to propose creative solutions
                    • -
                    • Written & verbal communication skills
                    • -
                    • Quick learner
                    • -
                    • High degree of personal initiative
                    • -
                    -

                    Skills that are not required, but considered an asset:

                    -
                      -
                    • Knowledge of Financial Industry/Risk Management/Retail Credit products
                    • -
                    • Experience using Business Intelligence Reporting tools such as Tableau and Power BI
                    • -
                    • Knowledge of scientific computing
                    • -
                    -
                    -

                    -

                    Additional Information

                    -
                    -

                    Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.

                    -
                      -
                    • This position is a 4-month work term and will commence Sept 5th – Dec 22nd 2023.
                    • -
                    • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                    • -
                    • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                    • -
                    • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                    • -
                    • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
                    • -
                    -
                    -

                    -

                    Start Date

                    -
                    – Fall
                    -

                    -

                    Inclusiveness

                    -

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -

                    -
                    ",,https://jobs.td.com/en-CA/jobs/18317570/risk-model-validation-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-23T21:26:00.000Z,False,0,2,13,https://talenthub.vectorinstitute.ai/jobs/222290776-risk-model-validation-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18317570/risk-model-validation-intern-co-op-toronto-ca/,expired,2023-05-04T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, 9819f11a-1dd0-4c13-a813-07f94b1a7f5c,198034042,TD Bank Group,Data Scientist II,on_site,"Toronto, ON",2023-02-20T17:24:05.968Z,"

                    Company Overview

                    @@ -234023,265 +241398,271 @@ dd1fc3f5-695c-4648-941e-d81aa16598a3,192002723,EY,Senior Manager - Data Architec

                    Salary Range:

                    74,100/74 100 - 120,800/120 800

                    Job Category:

                    Advanced Analytics

                    Posting End Date:

                    23/04/2023
                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Business-Data-Engineer_JR00076392-2?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-04-24T17:46:03.596Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/217075526-business-data-engineer-at-sun-life-financial,,expired,2023-04-20T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -ff715a86-32b3-4a0c-881f-21c30ce5fbcb,217072591,BMO Financial Group,"Data and Reporting Analyst, 1 year Term Employment",on_site,"Ontario, Canada",2023-04-20T17:12:02.917Z,"
                    -

                    Application Deadline:

                    04/29/2023

                    +e09c3c61-f60f-40dc-93c9-ffe79be68be9,209227171,Layer 6,Machine Learning Product Engineer,on_site,"Toronto, ON, Canada",2023-03-27T19:50:48.998Z,"

                    +

                    Machine Learning Product Engineer

                    +

                    Develops and maintains technical solutions that adhere to engineering and architectural design principles while meeting business requirements. Provides technical expertise with a focus on efficiency, reliability, scalability, and security; includes planning, evaluating, recommending, designing, operationalizing, and supporting solutions in compliance with enterprise and industry standards.

                    +

                    Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform.

                    +

                    Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 – Visual Relationship (winner in 2019).

                    -

                    Address:

                    100 King Street West

                    -

                    -

                    Job Family Group:

                    Data Analytics & Reporting

                    -

                    -

                    -

                    -

                    Build data visualizations using Power BI based on requirements gathered. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, and dashboard reporting.

                    +

                    Job Description:

                    +

                    Develops and maintains technical solutions that adhere to engineering and architectural design principles while meeting business requirements. Provides technical expertise with a focus on efficiency, reliability, scalability, and security; includes planning, evaluating, recommending, designing, operationalizing, and supporting solutions in compliance with enterprise and industry standards.

                    +

                    Customer Accountabilities:

                      -
                    • Builds effective relationships with internal/external stakeholders.
                    • -
                    • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                    • -
                    • Designs, develops, and implements innovative analytical solutions.
                    • -
                    • Designs and produces regular and ad-hoc reports, and dashboards.
                    • -
                    • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                    • -
                    • Structures and assembles data into multi-dimensions with various granularities
                    • -
                    • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                    • -
                    • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                    • -
                    • Designs, develops, and implements innovative analytical solutions.
                    • -
                    • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                    • -
                    • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • -
                    • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                    • -
                    • Analyzes data and information to provide subject-matter insights and recommendations.
                    • -
                    • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                    • -
                    • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                    • -
                    • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                    • -
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                    • -
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • -
                    • Works independently on a range of complex tasks, which may include unique situations.
                    • -
                    • Broader work or accountabilities may be assigned as needed.
                    • +
                    • Leverage deep technology expertise for own area of specialization to deliver and ensure that all areas across the organization that provision, manage and support various technologies have the necessary tools, processes and documentation required to effectively execute on their respective mandates
                    • +
                    • Execute on Engineering strategy as it relates to the introduction of tools and the automation of build, test, release and configure activities across Application, Platform and Infrastructure
                    • +
                    • Partner with the Operations team to automatically integrate with appropriate tools and processes as part of automated/self-serve Application, Platform or Infrastructure releases
                    • +
                    • Work with partners across Technology and apply in-depth understanding of relevant business needs to identify and leverage synergies across the various areas
                    • +
                    • Act as the expert or lead innovator and agent of change for the programs and services under management
                    • +
                    • Work with other teams to implement best practices for engineering and management
                    • +
                    • Work with vendor platform providers and engineering peers to keep abreast of trends, products, frameworks, and applications
                    • +
                    • Identify and effectively manage stakeholder engagement and impacts across the enterprise
                    • +
                    • Interpret client needs, assess engineering related requirements and identify solutions to non-standard requests
                    -


                    Qualifications:

                    +

                    Shareholder Accountabilities:

                      -
                    • Typically between 1 - 3 years of relevant experience or an equivalent combination of education and experience.
                    • -
                    • Knowledge and experience in data preparation, data analysis specifically Power BI
                    • -
                    • Advanced Excel skills
                    • -
                    • VBA skills
                    • -
                    • DAX Functions and Power Query
                    • -
                    • Technical proficiency gained through education and/or business experience.
                    • -
                    • Verbal & written communication skills - In-depth.
                    • -
                    • Collaboration & team skills - In-depth.
                    • -
                    • Analytical and problem solving skills - In-depth.
                    • -
                    • Influence skills - In-depth.
                    • -
                    • Data driven decision making - In-depth.
                    • +
                    • Apply best practices and knowledge of internal / external business issues to improve products or services in own discipline
                    • +
                    • Monitor and control costs within own work
                    • +
                    • May interact with governance and control groups, (e.g. regulatory / operational risk, compliance and audit) to provide subject matter expertise and consult on risk issues / items related to Engineering technology and tools
                    • +
                    • May develop and/or contribute to negotiations of third party contracts/agreements
                    • +
                    • Maintain knowledge and understanding of external development, engineering and emerging solutions, market conditions and their impact
                    • +
                    • Proactively identify emerging technologies and innovative solutions for building more robust platform domains
                    • +
                    • The Machine Learning Product Engineer team at Layer 6 focuses on building industry-leading data-centric systems and model delivery systems. Our solutions include data pipelines, feature data lake, systemic data validation and automation of key activities in model delivery including model validation, shakedown, inference, and maintenance.
                    • +
                    • We are looking for experienced Machine Learning Product Engineers (MLPE) who have worked under tight deadlines and on challenging tasks. The ideal candidate is a strong coder with solid data engineering experience. They should also have expertise in machine learning, system design and devops.
                    • +
                    • The candidate will design and implement components of data and model delivery system and lead by example. The candidate will interact with machine learning scientists, the infrastructure team and data sources team to develop systems that will satisfy the needs of machine learning projects.
                    • +
                    • Implement complex data-centric solutions, including extremely complex and large data set verification, transformation and feature generation, to ensure continuous high-quality input for the model development
                    • +
                    • Build model delivery systems, including inference pipeline, automatic model validation reports generation, automatic model performance monitoring and model retraining, to ensure fast model productionization and reliable production system
                    • +
                    • Maintain the model in production and ensure the data/model related knowledge continuation within L6
                    +

                    +

                    Job Requirements:

                    +

                    Employee/Team Accountabilities:

                    +
                      +
                    • Continuously enhance knowledge/expertise in own area and keep current with emerging industry trends, new technologies and best practices in the external market that can contribute to delivering effective client solutions
                    • +
                    • Prioritize and manage own workload in order to deliver quality results and meet timelines
                    • +
                    • Support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest
                    • +
                    • Participate in knowledge transfer with senior management, the team, other technical areas and business units
                    • +
                    • Work effectively as a team, supporting other members of the team in achieving business objectives and providing client services
                    • +
                    • Identify and recommend opportunities to enhance productivity, effectiveness and operational efficiency of the business unit and/or team
                    • +
                    +

                    Breadth and Depth:

                    +
                      +
                    • Expert knowledge of specific domain or range of engineering frameworks, technology, tools, processes and procedures, as well as organization issues
                    • +
                    • Expert knowledge of TD applications, systems, networks, innovation, design activities, best practices, business / organization, Bank standards, and may fulfill a governance role
                    • +
                    • Expert knowledge and experience in own discipline; integrates knowledge of business and functional priorities
                    • +
                    • Acts as a key contributor in a complex and critical environment
                    • +
                    • May provide leadership to teams or projects; shares expertise
                    • +
                    • Applies in-depth skills and broad knowledge of the business to address complex problems and non-standard situations
                    • +
                    • Generally reports to a Senior Manager or above
                    • +
                    +

                    Experience and/or Education:

                    +
                      +
                    • University or post-graduate degree
                    • +
                    • Strong academic background (e.g., computer science, engineering)
                    • +
                    • 7 + years relevant experience
                    • +
                    +

                    +

                    Additional Information:

                    +

                    Required Technical Skills

                    +
                      +
                    • BSc+ in Computer Science, Math, Physics, or similar
                    • +
                    • 2+ years of extensive programming experience, at least 1 year in building production data systems
                    • +
                    • 1+ year experience of building machine learning production system
                    • +
                    • Strong experience with major Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Spark, Cassandra, Kafka, Elasticsearch
                    • +
                    • Good knowledge of Machine Learning and Deep Learning
                    • +
                    • Practical expertise in performance tuning, bottleneck problems analysis, and troubleshooting
                    • +
                    • Strong experience with Scala and Java 8
                    • +
                    +

                    Nice to have Skills

                    +
                      +
                    • C++, Python experience
                    • +
                    • Experience in systems/infrastructure projects on AWS and Azure
                    • +
                    +

                    Benefits

                    +
                      +
                    • Entrepreneurial and inclusive culture
                    • +
                    • Excellent health coverage and pension plan
                    • +
                    • Four weeks paid vacation
                    • +
                    • Catered lunches twice a week over machine learning talks
                    • +
                    ",,https://layer6.ai/careers/#Machine-Learning-Product-Engineer-669,aitalent@vectorinsitute.ai,https://layer6.ai/careers/,,,2023-04-26T19:50:52.052Z,False,0,16,87,https://talenthub.vectorinstitute.ai/jobs/209227171-machine-learning-product-engineer-at-layer-6,,expired,2023-03-27T19:50:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +1f59ba0e-aa4e-4d1c-baa1-4722bd3ca8a7,208693671,Borealis AI,Machine Learning Researcher,on_site,"Ontario, Canada",2023-03-25T17:27:03.086Z,"
                    +
                    +

                    What\'s the opportunity?

                    +

                    As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                    +

                    Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                    +
                    +
                    +

                    Your responsibilities include:

                    +
                      +
                    • Developing novel AI solutions that facilitate impactful products;
                    • +
                    • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                    • +
                    • Working with the development team to transfer research work into production;
                    • +
                    • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                    • +
                    • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                    • +
                    +
                    +
                    +

                    You’re our ideal candidate if you have:

                    +
                      +
                    • A passion for solving open problems using data and algorithms;
                    • +
                    • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                    • +
                    • Ability to formulate and drive a research project independently without close supervision;
                    • +
                    • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                    • +
                    +
                    +
                    +

                    What’s in it for you?

                    +
                    +
                      +
                    • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                    • +
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                    • +
                    • Leaders who support your development through coaching and managing opportunities;
                    • +
                    • Ability to make a difference and lasting impact from a local-to-global scale.
                    • +
                    +

                    About Borealis AI

                    +
                    +
                    +

                    Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                    +

                    Inclusion and Equal Opportunity Employment

                    +

                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                    +
                    ",,https://www.borealisai.com/careers/?gh_jid=6645277002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-04-26T18:12:14.856Z,False,0,13,84,https://talenthub.vectorinstitute.ai/jobs/208693671-machine-learning-researcher-at-borealis-ai,,expired,2023-03-25T17:27:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, +6a503669-6911-43e4-ba9d-765cb62a9f49,208967715,BMO Financial Group,"Manager, Risk analytics and reporting",on_site,"Ontario, Canada",2023-03-26T17:12:02.657Z,"
                    +

                    Address:

                    55 Bloor Street West

                    +

                    Job Family Group:

                    Data Analytics & Reporting

                    -

                    We’re here to help

                    -

                    -

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    -

                    -

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    -

                    -

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    -

                    -

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    -

                    -

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    -
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Data-and-Reporting-Analyst--1-year-contract--New-Grad-Immediate-start_R230003637?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-05-01T17:17:05.214Z,False,0,7,17,https://talenthub.vectorinstitute.ai/jobs/217072591-data-and-reporting-analyst-1-year-term-employment-at-bmo-financial-group,,expired,2023-04-20T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,No Degree,New Posting, -0fc443c9-dd52-41e4-bf93-b3f514e2fe66,213974934,OMERS,"Director, Data & Analytics Delivery",on_site,"Ontario, Canada",2023-04-10T17:42:03.093Z,"

                    -

                    Vision and Core Values

                    -

                    OMERS overall vision is to play a leadership role in the pension industry and be first of class, deliver superior services and to grow and attract investment partners. The core values are to be fair, have high integrity, respect for each other, provide superior service and work as a team.

                    -

                    The Corporate Objectives for OMERS is to provide secure pensions for all their constituents by:

                    +

                    +Key Accountabilities

                    +

                    Supports the execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies. Supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance and minimizes risk.

                    +

                      -
                    • Investing to earn outstanding returns with due regard for risk

                    • -
                    • Partnering with like-minded investment managers

                    • -
                    • Providing high quality service to our members and employers

                    • -
                    • Delivering value for money

                    • -
                    • Building a culture of excellence and pride in OMERS

                    • +
                    • Designs, develops, and implements reporting solutions by using SAS, SQL and Power BI to meet management and regulatory reporting requirements.

                    • +
                    • Participates in the design, implementation, and management of core business processes to ensure the accuracy of risk data used in reporting. Provides advice to assigned business/group on implementation of analytical and reporting solutions.

                    • +
                    • Executes work to deliver timely, accurate, and efficient service for scheduled reporting production processes.

                    • +
                    • Research existing or emerging requirements & related best practices to assist and develops recommendations for changes/enhancements.

                    • +
                    • Analyzes data and highlights significant information including variances, trends, opportunities and exposures; escalates as required.

                    • +
                    • Support audit, conduct process and program documentation and review.

                    • +
                    • Support the maintenance of the risk reporting framework.

                    • +
                    +

                    +
                    • Ensures strong governance and effective controls across risk reporting activities and information in accordance with enterprise standards. Support report accuracy and completeness assessment.

                    +

                    +
                    • Coordinates the management of databases; ensures alignment and integration of data in adherence with data governance standards.

                    +

                    +
                    • Represents the risk reporting function during internal/external regulatory audits and/or examinations. Provides information and supports the process for internal and external audits.

                    +

                    +
                    • Supports the interpretation of internal and external policies and regulatory requirements relevant to the analytics and reporting mandate e.g. regulatory reporting.

                    +

                    +
                    • Supports the maintenance of operational procedures and processes related to analytical and reporting processes.

                    +

                    +
                    • Supports the development of tools and delivery of training focused on awareness and understanding of key data elements used in risk reporting.

                    +

                    +
                    • Builds effective relationships with internal/external stakeholders.

                    +

                    +
                    • Works independently and regularly handles non-routine situations.

                    +


                    +

                    Knowledge and Skills

                    +

                    +
                    • 5-7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

                    +

                    +
                    • Advanced experience in querying language (SAS, SAS viya, SQL, etc.).

                    +

                    +
                    • Advanced experience with reporting tools (Power BI, Excel Pivot, Spotfire, etc.)

                    +

                    +
                    • Knowledge in credit risk management.

                    +

                    +
                    • Strong in documentation, presentation and communication.

                    +

                    +
                    • In-depth knowledge of reporting & analytics concepts and applications.

                    +

                    +
                      +
                    • Deep knowledge and technical proficiency gained through extensive education and business experience.

                    • +
                    • Collaboration & team skills - In-depth.

                    -

                    OMERS Operating Principles are: Financial Strength, Accountability, Member Focus, Talent and Reporting.

                    +
                    • Analytical and problem-solving skills - In-depth.

                    -

                    Value Proposition

                    -

                    The Capital Markets Finance team is on a dynamic and dramatic change journey. This is an opportunity to join us as we design and lead a digital transformation in Finance. Success in this role will enable our Capital Markets, Total Portfolio Management Risk and Corporate Finance partners to deliver their goals – all in service of OMERS members. The Capital Markets Finance team is just beginning our transformation, and the selected leader will be a key member of the team, working with our partners to understand their needs and deliver outcomes, with momentum and excellence. We see in this role significant future potential, in a global, sophisticated, and complex enterprise.

                    +
                    • Influence skills - In-depth.

                    -

                    Scope of Position

                    -

                    Reporting to the VP, Finance Data, Capital Markets, the Director, Finance (?) Data & Analytics Delivery leads a team of business system analysts and technical analysts who support and deliver finance data and analytics from mission-critical investment systems (Calypso, Eagle PACE) and other data providers to empower end users.

                    +
                    • Data driven decision making - In-depth.

                    +

                    +

                    +

                    We’re here to help

                    -

                    This leader will drive strategic initiatives that will enhance the capital markets finance data & analytics capabilities at OMERS, and will be required to have a deep understanding of modern trends in data management, data architecture, data modeling, data cataloging, cloud infrastructure, and utilities, through continuous learning and industry engagement.

                    +

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    -

                    Responsibilities:

                    -
                      -
                    • Lead a team of analysts and managers with vision, clarity, and technical expertise, providing relevant coaching for professional development.

                    • -
                    • Lead the execution of transformation initiatives to modernize OMERS’ finance data and analytics delivery in support of Capital Markets, TPM and Risk

                    • -
                    • Partner with Capital Markets Finance and data & technology experts across OMERS to deliver data and analytics to end users in Capital Markets, TPM and Risk

                    • -
                    • Manage the daily process and delivery of custom analytics to end users in partnership with the Capital Markets Finance reporting team

                    • -
                    • Manage the daily process and integration of the investment book of record into OMERS’ enterprise risk system in partnership with the Risk Technology team

                    • -
                    • Ensure the timely and accurate delivery of investment data to data marts and end users

                    • -
                    • Develop and institute solution design principles that are forward-thinking; optimize for efficacy, sustainability, and time to market.

                    • -
                    • Use metrics and feedback to improve organizational processes, implement best practices, and enhance performance, creating a culture of excellence and continuous improvement.

                    • -
                    • Mature change delivery processes and drive a transformation to Agile and DevOps.

                    • -
                    • Develop product strategies and roadmaps

                    • -
                    • Track and report on product roadmaps, completed work, capacity, backlog, KPIs, etc.

                    • -
                    • Document and maintain key processes and controls, for training, continuity, and audit purposes.

                    • -
                    • Develop relationships among partners by supporting a culture of transparency, collaboration, and service excellence.

                    • -
                    • Influence and represent the broader team’s leadership, to accomplish collective wins.

                    • -
                    +

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    -

                    Qualifications:

                    +

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    +

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    +

                    +

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Risk-analytics-and-reporting_R230000927?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-04-26T18:15:52.396Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/208967715-manager-risk-analytics-and-reporting-at-bmo-financial-group,,expired,2023-03-26T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +a4d4dcf6-9fb1-482b-8675-1b53d3c3e362,216106316,TD Bank Group,"Manager, Quantitative Analytics",on_site,"Toronto, ON",2023-04-17T17:24:03.639Z,"
                    +

                    Company Overview

                    +
                    +

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    +

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    +
                    +

                    +

                    Department Overview

                    +
                    TDBG Retail Model Development (RMD) is responsible for the development of expected loss models that measure credit risk in all TDBG retail credit products, model aggregation methodology and execution, including stress testing and IFRS9, and retail decision models (i.e. scorecard models) used in risk strategies.

                    +

                    Model development entails developing, and implementing account-level retail credit risk rating, and parameter models (PD, EAD, and LGD); using these risk ratings and parameters to estimate and report the Risk-Weighted Assets (RWA) as required under the Basel II Retail Advanced Internal-Ratings Based (AIRB) approach, and the minimum regulatory capital and economic capital that the Bank needs to allocate against the credit risk in its retail product portfolios; and estimating allowance for expected credit losses for performing and impaired assets.

                    +

                    +

                    Job Description

                    +
                    The position reports to senior manager, stress testing and IFRS9. The individual will manage a team that is responsible for the development and documentation of IFRS9 and stress testing methodology for Canadian retail portfolios as well as stress testing execution cycle. The team will also support all stages of model validation, audit, implementation as well as regulatory compliance. This will entail extensive and deep interactions with TDBG Model Validation and Model Risk Management, Internal Audit, external auditors and OSFI, in order to support their review and approval process and ensure model compliance with TDBG Model Risk Policy.

                    +

                    The position will work closely with and actively support TD Retail Risk Management, as well as retail credit product and finance areas by providing a deep analysis of credit risk drivers and parameters under various scenarios for the respective product portfolios. This will entail discussing with the retail credit product, finance, and risk management areas key observations and conclusions derived from the data analysis and modeling, and assisting in their use to manage product portfolio risk and profitability.

                    +

                    An ideal candidate will have an extensive retail credit risk management experience, including modeling and analytics; deep understanding of retail credit products and strategies; retail credit risk data, analytics, and modeling experience; in-depth knowledge of Basel and IFRS9 requirement. Additionally, the candidate must be able to demonstrate proven ability in building and developing partnerships with numerous stakeholders across diverse teams. Detailed responsibilities include:

                      -
                    • Minimum 9 years experience in data management and analytics roles managing data warehouse platforms or data products, including production support, change initiatives and/or large transformation programs in the Financial Services industry

                    • -
                    • Minimum of 5 years experience leading, managing and coaching a team with diverse skills and backgrounds, with a demonstrated history of contributing to their development and success

                    • -
                    • Expert knowledge of data modeling techniques e.g. Kimball

                    • -
                    • Experienced building robust data models in Power BI

                    • -
                    • Expert knowledge of ETL/ELT tools and design patterns that incorporate data quality

                    • -
                    • Strong experience working with investment data and applications, including but not limited to trading, investment accounting, data warehouses, investment risk, performance, reference data and custom investment analytics

                    • -
                    • Bachelor’s or Master’s Degree in a related field such as Computer Science, Engineering, Mathematics, Accounting, or Finance

                    • -
                    • Hands-on experience delivering complex data assets and a proven ability to manage multiple projects

                    • -
                    • Experience with the Azure cloud platform and/or Snowflake are nice to have

                    • -
                    • Experience in data governance

                    • -
                    • Excellence in all types of communication and facilitation with colleagues at all levels

                    • -
                    • Self-motivated with strong, proven, analytical and problem-solving skills

                    • -
                    • Commitment to standards of professionalism, internal controls and compliance

                    • +
                    • Oversee EWST and MST cycles and support related materials and analyses;
                    • +
                    • Oversee IFRS9 model development and support all model lifecycle activities related to IFRS9 model methodology;
                    • +
                    • Participate in design, planning, implementation and testing of various modeling initiatives;
                    • +
                    • Develop and implement data analyses, data collection systems and other strategies that optimize statistical efficiency and quality for the US commercial portfolio;
                    • +
                    • Develop strong relationship with models sponsor and owner;
                    • +
                    • Lead the governance team and data management;
                    • +
                    • Interact with senior management to prioritize business requirements;
                    • +
                    • Collaborate with Retail risk management teams and participate in cross-functional projects as needed;
                    • +
                    • Identify new business improvement opportunities;
                    • +
                    • Support monitoring activities;
                    • +
                    • Have a potential to build a team in the future
                    • +
                    • Perform ad hoc analyses as required by management and other business partners;
                    • +
                    • Produce and maintain well-articulated documentation on above;
                    • +
                    • Write and maintain robust code for performing the above functions.
                    +

                    -

                    And you demonstrate:

                    +

                    Requirements

                    +
                    +A successful candidate is expected to have:

                      -
                    • High standards of business and ethical values including the ability to deal with confidential information

                    • -
                    • A people-first focus with a desire to develop meaningful, positive relationships across all levels of the organization

                    • -
                    • A teammate mentality coupled with servant leadership

                    • -
                    • A sense of urgency, optimism, and a desire to deliver excellence

                    • -
                    • An uncompromising focus on outcomes

                    • -
                    • A desire to drive debate, to speak candidly and to listen empathetically; and

                    • -
                    • Strong orientation towards strategy, change and results

                    • -
                    • A continuous improvement mindset

                    • -
                    • A passion for delivering “beautiful work”

                    • +
                    • Graduate degree in a relevant quantitative field, such as Applied Econometrics, Economics, Mathematics, Statistics, Actuarial Science, Finance, Computer Science or Physics considered a strong asset;
                    • +
                    • At least 3-5 years of working experience in credit modeling space;
                    • +
                    • In-depth knowledge of BASEL and IFRS9 framework and requirement;
                    • +
                    • Strong theoretical and numerical background;
                    • +
                    • Programming experience is mandatory: SAS, MATLAB or Python;
                    • +
                    • Experience working with relational databases and SQL;
                    • +
                    • Strong interest and ability to undertake applied research;
                    • +
                    • Out-of-the-box thinker and enthusiastic in solving problems;
                    • +
                    • Strong written and verbal communication skills;
                    • +
                    • Ability to work in a multi-disciplinary team setting;
                    • +
                    • Strong work ethic and adaptable to changing priorities
                    • +
                    • Prior experience of managing a team will be an asset
                    +

                    +

                    -

                    #LI-Hybrid

                    -

                    -

                    -

                    -

                    -

                    -

                    Our story:

                    -

                    Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                    +

                    Additional Information

                    +
                    #LI-Hybrid
                    #LI-Remote
                    #LI-Onsite

                    -

                    OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                    -
                    ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Director--Data---Analytics-Delivery_JR-4817?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-05-01T17:47:02.896Z,False,0,5,19,https://talenthub.vectorinstitute.ai/jobs/213974934-director-data-analytics-delivery-at-omers,,expired,2023-04-10T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, -4d4f5296-24b3-4455-90cd-0c7612db6443,211701369,Loblaw Companies Ltd,Data Analyst,on_site,"Ontario, Canada",2023-04-03T17:14:02.216Z,"
                    -

                    Referred applicants should not apply directly to this role.

                    -

                    All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                    -

                    -

                    -

                    Location:

                    500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

                    -

                    When you hire great people, great things can happen.

                    -

                    PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

                    -

                    -

                    Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

                    -

                    -

                    Please note: this posting is to pipeline for future needs

                    -

                    -

                    Why This Role is Important

                    -

                    The objective of our Payment Decision Support team is to provide reporting and analytics services to allow PC Financial to capitalize on diverse sources of data to improve the understanding of customer behaviors to drive profitability and improve customer experience. This role will deliver accurate, easy-to-use and timely data and reporting solutions to enable evidence-based decisions across the enterprise.

                    -

                    -

                    What You\'ll Do

                    -
                      -
                    • Code using SQL, SAS, and Python, in SAS and Google Cloud platforms.
                    • -
                    • Build and productionize business critical data processes
                    • -
                    • Optimize and automate data solutions
                    • -
                    • Build data marts and Tableau/Excel reports
                    • -
                    • Follow and implement data standards, guidelines on data ownership, coding structures
                    • -
                    • Monitor data quality and identify, investigate, and resolve data discrepancies
                    • -
                    • Interact with partners at various levels to deliver data solutions, identify use-cases around data and data processes
                    • -
                    • Closely adhere to legal guidelines regarding working with critical and confidential information
                    • -
                    -

                    -

                    What You\'ll Need

                    -
                      -
                    • 1-2 years of experience in a data analytics role, preferably in financial services/banking domain
                    • -
                    • University degree in Business/Commerce, Computer Science/Engineering/Analytics -
                    • -
                    • Solid understanding of Python and Cloud technology. Experience with GCP (Google Cloud Platform) is a bonus.
                    • -
                    • Understanding of data warehouse and data mart concepts
                    • -
                    • Working knowledge of relational databases and SQL data extraction and manipulation tools
                    • -
                    • Experience in SAS and BI tools.
                    • -
                    • Ability to interpret sophisticated data flow and translate it into concise, easily understood solution plans to senior staff members
                    • -
                    • Demonstration of problem solving using combination of technical know-how, soft skills and business understanding
                    • -
                    • Experience in any of the following verticals is an asset: financial services/banking, credit cards/payments, ETL pipeline build, data mart creation, process automation.
                    • -
                    • Ability to prioritize between challenging tasks/requirements in a fast-paced environment
                    • -
                    -

                    -

                    -

                    Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

                    -

                    -

                    -

                    Number of Openings:

                    0

                    -

                    PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

                    -

                    -

                    In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                    -

                    -

                    -

                    Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                    -
                    ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Data-Analyst_R2000323206?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-05-03T17:55:46.596Z,False,0,29,96,https://talenthub.vectorinstitute.ai/jobs/211701369-data-analyst-at-loblaw-companies-ltd,,expired,2023-04-03T17:14:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Associate,Bachelors Degree,New Posting, -fdb4febd-5efc-45ec-bebc-8175333148d4,214825363,TD Bank Group,Sr Salesforce Reporting Analyst,on_site,"Toronto, ON",2023-04-13T17:24:05.473Z,"
                    -

                    Company Overview

                    -
                    -

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    -

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    -
                    -

                    -

                    Department Overview

                    -
                    -

                    What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                    -

                    We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                    -
                    -

                    -

                    Job Description

                    -
                    -What can you bring to TD?

                    -

                    Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    -
                      -
                    • Bachelor’s Degree or equivalent in Engineering, Computer Science, IT, Mathematics or Business
                    • -
                    • Salesforce certification is an asset
                    • -
                    -

                    Knowledge and Experience:   

                    -
                      -
                    • A minimum of 3+ years overall Finance,Technology & IT industry experience
                    • -
                    • A minimum of 2+ years in a solution and implementation role, specifically in CRM analytics
                    • -
                    • Expertise in Tableau / Einstein, ability to work on Salesforce Analytics Studio
                    • -
                    • Solid business acumen, management, and communication skills
                    • -
                    • Experience presenting ideas, products, concept papers to varied audiences
                    • -
                    • Experience with Software development lifecycle methodologies, patterns, frameworks, libraries, & tools
                    • -
                    • Knowledge of one or more programming and scripting languages
                    • -
                    • Experience in data movement and transformation technologies
                    • -
                    • Working knowledge of visualization tools such as Analytics Studio
                    • -
                    • Understanding of analytics tools such as Azure Stream Analytics, SQL Analytics, Data Lake Analytics.
                    • -
                    • Experience with AI and Machine Learning tools
                    • -
                    • Experience in project and/or product management
                    • -
                    -
                    -

                    -

                    Requirements

                    -
                    -What can you bring to TD?

                    -

                    Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    -
                      -
                    • Undergraduate degree or technical certificate
                    • -
                    • Five (5) or more years relevant experience
                    • -
                    -
                    -

                    -

                    Additional Information

                    -
                    #LI-Hybrid
                    -

                    -

                    Flexible Work Options

                    -
                    N/A
                    -

                    -

                    Hours

                    -
                    37.5
                    -

                    -

                    Inclusiveness

                    -

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -

                    -
                    ",,https://jobs.td.com/en-CA/jobs/18189282/sr-salesforce-reporting-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-04T17:29:09.198Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/214825363-sr-salesforce-reporting-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18189282/sr-salesforce-reporting-analyst-toronto-ca/,expired,2023-04-13T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +

                    Hours

                    +
                    37.5
                    +

                    +

                    Inclusiveness

                    +

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    +

                    +
                    ",,https://jobs.td.com/en-CA/jobs/17684399/manager-quantitative-analytics-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-04T17:29:09.198Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/216106316-manager-quantitative-analytics-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17684399/manager-quantitative-analytics-toronto-ca/,expired,2023-04-17T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, 88ce5e81-06c3-4b14-b366-0b9817e14f85,218282649,Google,"Software Developer III, Performance, Google Cloud Platform AI and Industry Solutions",on_site,"Toronto, ON, Canada",2023-04-24T17:20:03.050Z,"
                    2023-04-17T08:00:47.293Z
                    @@ -234365,69 +241746,67 @@ fdb4febd-5efc-45ec-bebc-8175333148d4,214825363,TD Bank Group,Sr Salesforce Repor

                    Education/Experience
                    o University or College Degree or higher in science, technology, engineering or mathematics
                    o Minimum 3 years of related work experience within Financial Services industry
                    o Strong financial services background with working knowledge of retail banking products and systems
                    o AML/ATF experience or analytics knowledge
                    Professional Certification
                    o CAMS certification is considered an asset
                    o International Institute of Business Analysis (IIBA) certification is considered an asset
                    Technical Skills
                    o Demonstrated experience using the MS Office Suite, in particular MS- Excel, MS- Word and MS-Visio
                    o Strong business analysis skills required, including a thorough understanding of how to interpret customer business needs and translate them into application and operational requirements
                    o Experience with statistical modeling and data science methods
                    o Experience in business intelligence and analytics platforms
                    Abilities
                    o Strong presentation, facilitation, analysis and problem solving skills
                    o Strong capability to work with senior business leaders
                    o Ability to work autonomously under tight timelines
                    o Ability to work in a dynamic environment where processes and procedures are consistently refined
                    o Successfully engage in multiple initiatives simultaneously
                    Attributes
                    o Strong verbal written and communication skills
                    o Strong attention to detail and organizational skills

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Senior-Business-Analyst%2C-AML-Strategy-and-Analytics-ON-M2H0A1/569801317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-04T17:27:03.744Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/219391126-senior-business-analyst-aml-strategy-and-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Business-Analyst%2C-AML-Strategy-and-Analytics-ON-M2H0A1/569801317/,expired,2023-04-27T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -a4d4dcf6-9fb1-482b-8675-1b53d3c3e362,216106316,TD Bank Group,"Manager, Quantitative Analytics",on_site,"Toronto, ON",2023-04-17T17:24:03.639Z,"
                    -

                    Company Overview

                    -
                    -

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    -

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    -
                    -

                    -

                    Department Overview

                    -
                    TDBG Retail Model Development (RMD) is responsible for the development of expected loss models that measure credit risk in all TDBG retail credit products, model aggregation methodology and execution, including stress testing and IFRS9, and retail decision models (i.e. scorecard models) used in risk strategies.

                    -

                    Model development entails developing, and implementing account-level retail credit risk rating, and parameter models (PD, EAD, and LGD); using these risk ratings and parameters to estimate and report the Risk-Weighted Assets (RWA) as required under the Basel II Retail Advanced Internal-Ratings Based (AIRB) approach, and the minimum regulatory capital and economic capital that the Bank needs to allocate against the credit risk in its retail product portfolios; and estimating allowance for expected credit losses for performing and impaired assets.

                    -

                    -

                    Job Description

                    -
                    The position reports to senior manager, stress testing and IFRS9. The individual will manage a team that is responsible for the development and documentation of IFRS9 and stress testing methodology for Canadian retail portfolios as well as stress testing execution cycle. The team will also support all stages of model validation, audit, implementation as well as regulatory compliance. This will entail extensive and deep interactions with TDBG Model Validation and Model Risk Management, Internal Audit, external auditors and OSFI, in order to support their review and approval process and ensure model compliance with TDBG Model Risk Policy.

                    -

                    The position will work closely with and actively support TD Retail Risk Management, as well as retail credit product and finance areas by providing a deep analysis of credit risk drivers and parameters under various scenarios for the respective product portfolios. This will entail discussing with the retail credit product, finance, and risk management areas key observations and conclusions derived from the data analysis and modeling, and assisting in their use to manage product portfolio risk and profitability.

                    -

                    An ideal candidate will have an extensive retail credit risk management experience, including modeling and analytics; deep understanding of retail credit products and strategies; retail credit risk data, analytics, and modeling experience; in-depth knowledge of Basel and IFRS9 requirement. Additionally, the candidate must be able to demonstrate proven ability in building and developing partnerships with numerous stakeholders across diverse teams. Detailed responsibilities include:

                    -
                      -
                    • Oversee EWST and MST cycles and support related materials and analyses;
                    • -
                    • Oversee IFRS9 model development and support all model lifecycle activities related to IFRS9 model methodology;
                    • -
                    • Participate in design, planning, implementation and testing of various modeling initiatives;
                    • -
                    • Develop and implement data analyses, data collection systems and other strategies that optimize statistical efficiency and quality for the US commercial portfolio;
                    • -
                    • Develop strong relationship with models sponsor and owner;
                    • -
                    • Lead the governance team and data management;
                    • -
                    • Interact with senior management to prioritize business requirements;
                    • -
                    • Collaborate with Retail risk management teams and participate in cross-functional projects as needed;
                    • -
                    • Identify new business improvement opportunities;
                    • -
                    • Support monitoring activities;
                    • -
                    • Have a potential to build a team in the future
                    • -
                    • Perform ad hoc analyses as required by management and other business partners;
                    • -
                    • Produce and maintain well-articulated documentation on above;
                    • -
                    • Write and maintain robust code for performing the above functions.
                    • -
                    -

                    -

                    -

                    Requirements

                    -
                    -A successful candidate is expected to have:

                    -
                      -
                    • Graduate degree in a relevant quantitative field, such as Applied Econometrics, Economics, Mathematics, Statistics, Actuarial Science, Finance, Computer Science or Physics considered a strong asset;
                    • -
                    • At least 3-5 years of working experience in credit modeling space;
                    • -
                    • In-depth knowledge of BASEL and IFRS9 framework and requirement;
                    • -
                    • Strong theoretical and numerical background;
                    • -
                    • Programming experience is mandatory: SAS, MATLAB or Python;
                    • -
                    • Experience working with relational databases and SQL;
                    • -
                    • Strong interest and ability to undertake applied research;
                    • -
                    • Out-of-the-box thinker and enthusiastic in solving problems;
                    • -
                    • Strong written and verbal communication skills;
                    • -
                    • Ability to work in a multi-disciplinary team setting;
                    • -
                    • Strong work ethic and adaptable to changing priorities
                    • -
                    • Prior experience of managing a team will be an asset
                    • -
                    -

                    -
                    -

                    -

                    Additional Information

                    -
                    #LI-Hybrid
                    #LI-Remote
                    #LI-Onsite
                    -

                    -

                    Hours

                    -
                    37.5
                    -

                    -

                    Inclusiveness

                    -

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -

                    -
                    ",,https://jobs.td.com/en-CA/jobs/17684399/manager-quantitative-analytics-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-04T17:29:09.198Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/216106316-manager-quantitative-analytics-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17684399/manager-quantitative-analytics-toronto-ca/,expired,2023-04-17T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +fdb4febd-5efc-45ec-bebc-8175333148d4,214825363,TD Bank Group,Sr Salesforce Reporting Analyst,on_site,"Toronto, ON",2023-04-13T17:24:05.473Z,"
                    +

                    Company Overview

                    +
                    +

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    +

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    +
                    +

                    +

                    Department Overview

                    +
                    +

                    What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                    +

                    We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                    +
                    +

                    +

                    Job Description

                    +
                    +What can you bring to TD?

                    +

                    Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    +
                      +
                    • Bachelor’s Degree or equivalent in Engineering, Computer Science, IT, Mathematics or Business
                    • +
                    • Salesforce certification is an asset
                    • +
                    +

                    Knowledge and Experience:   

                    +
                      +
                    • A minimum of 3+ years overall Finance,Technology & IT industry experience
                    • +
                    • A minimum of 2+ years in a solution and implementation role, specifically in CRM analytics
                    • +
                    • Expertise in Tableau / Einstein, ability to work on Salesforce Analytics Studio
                    • +
                    • Solid business acumen, management, and communication skills
                    • +
                    • Experience presenting ideas, products, concept papers to varied audiences
                    • +
                    • Experience with Software development lifecycle methodologies, patterns, frameworks, libraries, & tools
                    • +
                    • Knowledge of one or more programming and scripting languages
                    • +
                    • Experience in data movement and transformation technologies
                    • +
                    • Working knowledge of visualization tools such as Analytics Studio
                    • +
                    • Understanding of analytics tools such as Azure Stream Analytics, SQL Analytics, Data Lake Analytics.
                    • +
                    • Experience with AI and Machine Learning tools
                    • +
                    • Experience in project and/or product management
                    • +
                    +
                    +

                    +

                    Requirements

                    +
                    +What can you bring to TD?

                    +

                    Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    +
                      +
                    • Undergraduate degree or technical certificate
                    • +
                    • Five (5) or more years relevant experience
                    • +
                    +
                    +

                    +

                    Additional Information

                    +
                    #LI-Hybrid
                    +

                    +

                    Flexible Work Options

                    +
                    N/A
                    +

                    +

                    Hours

                    +
                    37.5
                    +

                    +

                    Inclusiveness

                    +

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    +

                    +
                    ",,https://jobs.td.com/en-CA/jobs/18189282/sr-salesforce-reporting-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-04T17:29:09.198Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/214825363-sr-salesforce-reporting-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18189282/sr-salesforce-reporting-analyst-toronto-ca/,expired,2023-04-13T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, 213023db-2b1b-4d47-af1e-a686405da790,219397718,OMERS,"Business Analyst, Finance Data & Analytics (15-Month Contract)",on_site,"Ontario, Canada",2023-04-27T17:42:03.321Z,"

                    @@ -234473,173 +241852,526 @@ a4d4dcf6-9fb1-482b-8675-1b53d3c3e362,216106316,TD Bank Group,"Manager, Quantitat

                    OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                    ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Business-Analyst--8-Month-Contract-_JR-4634?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-05-04T21:35:00.000Z,False,0,8,22,https://talenthub.vectorinstitute.ai/jobs/219397718-business-analyst-finance-data-analytics-15-month-contract-at-omers,,expired,2023-04-27T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -d2763a2d-1ebd-4912-ac45-6350b184f0c0,232594926,BenchSci,Senior Machine Learning Engineer - Computer Vision (Remote),full,"Toronto, Ontario Remote",2023-06-04T16:04:02.423Z,"
                    We are looking for a Machine Learning Engineer - Computer Vision to join our growing ML team. You will work on challenging computer vision problems to have an impact on the 31,000+ life scientists across the world who rely on BenchSci for their research. Reporting to the Engineering Manager, ML, you'll apply your domain expertise to select, train and deploy the best-suited machine learning algorithms, collaborate and experiment with scientists, and apply techniques to build solutions to shape the future of scientific discovery. You will have plenty of room for technical innovation and greenfield to explore and propose computer vision solutions to a complex area.
                    -
                    -

                    You will:

                    -
                        -
                      • Improve the performance and scalability of ML models and pipelines that are at the core of BenchSci's products
                      • -
                      • Work on different stages of the problem from prototyping to production
                      • -
                      • Contribute to key components across the machine learning ecosystem defining BenchSci's ML Technical Roadmap
                      • -
                      • Investigate what technologies that will best enable BenchSci to identify experimental insights through proof-of-concepts
                      • -
                      • Work with diverse teams to correctly capture the nuances of biology, translating them into ML objectives
                      • -
                      • Advocate for code and engineering process improvements across your team, and help define best practices
                      • -
                      • Participate in sprint planning, estimations, and reviews
                      • -
                      • Work with teammates to ensure high-quality deliverables
                      • -
                    -
                    -
                    -

                    You have:

                    -
                        -
                      • 3+ years of experience working as a professional developer, with at least 2 years of this focused on machine learning and computer vision
                      • -
                      • A Bachelor's or Master's degree in Computer Science, Mathematics, or other related disciplines
                      • -
                      • Excellent software engineering skills in Python
                      • -
                      • Comprehensive knowledge in the end-to-end machine learning lifecycle, including the nuances of the infrastructure and operationsExperience with ML and/or Computer Vision fundamentals
                      • -
                      • Experience productionizing ML models Experience with PyTorch, TensorFlow, Scikit-learn, and image processing libraries such as OpenCV and Scikit-image
                      • -
                      • Experience with distributed and cloud-based data processing frameworks such as Apache Spark or Apache Beam
                      • -
                      • A constant desire to develop
                      • -
                      • A team player who strives to see teammates succeed together
                      • -
                    -
                    -
                    -

                    -

                    -
                    Benefits and Perks:
                    -
                    An engaging remote-first culture
                    -
                    A great compensation package that includes BenchSci equity options
                    -
                    15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
                    -
                    Unlimited flex time for sick days, personal days, religious holidays
                    -
                    Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
                    -
                    A $2000 CAD* Annual Learning & Development budget
                    -
                    A $1000 CAD* home office set-up budget
                    -
                    A $2500 CAD*wellness, lifestyle and productivity spending account for employees
                    -
                    Generous parental leave benefits with a top-up plan or paid time off options
                    -
                    *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.
                    -

                    -
                    About BenchSci:
                    -
                    BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                    -
                    Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                    -

                    -
                    Our Culture:
                    -
                    BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                    -
                    We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                    -
                    You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
                    -

                    -
                    -Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
                    -

                    -
                    -Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
                    -

                    -
                    #LI-Remote
                    -
                    ",,https://jobs.lever.co/benchsci/eb96b026-f9d6-4e6a-801f-0c618f2845c8?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-06-08T16:09:03.006Z,False,0,3,11,https://talenthub.vectorinstitute.ai/jobs/232594926-senior-machine-learning-engineer-computer-vision-remote-at-benchsci,https://jobs.lever.co/benchsci/eb96b026-f9d6-4e6a-801f-0c618f2845c8,expired,2023-06-04T16:04:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,New Posting, -e39b4a81-beae-44e6-8134-c171d5f39d4a,230332242,Sun Life Financial,"AVP, Advanced Analytics and Business Intelligence",on_site,"Ontario, Canada",2023-05-29T16:10:02.506Z,"
                    -

                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                    +2c4803e1-0e0c-49e6-ab83-1512df915b1a,222289689,Google,"Analytical Lead, Omnichannel Retail",on_site,"Toronto, ON, Canada",2023-05-04T17:20:02.619Z,"
                    +
                    +2023-05-03T10:01:03.615Z
                    +
                      +
                    • Share
                    • +
                      Save +
                    • +

                    Analytical Lead, Omnichannel Retail

                      +
                    • Google
                    • +
                    • In-office:
                      + Toronto, ON, Canada +
                    • +
                    +
                    +

                    Qualifications

                    +

                    Minimum qualifications:

                    +
                      +
                    • Bachelor\'s degree or equivalent practical experience
                    • +
                    • 5 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis
                      +
                    • +
                    +

                    Preferred qualifications:

                    +
                      +
                    • Experience using search engine marketing (Google Ads), website analytics platforms (Google Analytics and other measurement suite products), and brand analysis techniques (upper funnel analysis)
                    • +
                    • Demonstrated analytical background, and experience with marketing analytics, financial modeling, or statistical analysis
                    • +
                    • Experience using SQL to extract and manipulate data, or with other programming/scripting languages (R, Python, C++)
                    • +
                    • Ability to analyze large datasets and translate them into actionable insights
                    • +
                    +
                    +
                    +
                    +

                    About the job

                    +

                    Businesses that partner with Google come in all shapes, sizes and market caps, and no one Google advertising solution works for all. Your knowledge of online media combined with your communication skills and analytical abilities shapes how new and existing businesses grow. Using your relationship-building skills, you provide Google-caliber client service, research and market analysis. You anticipate how decisions are made, persistently explore and uncover the business needs of Google\'s key clients and understand how our range of product offerings can grow their business. Working with them, you set the vision and the strategy for how their advertising can reach thousands of users.

                    +

                    As an Analytical Lead, you will be a strategic analyst, advisor, and consultant providing data supported insights to clients across the finance and travel industry, along with agencies to help improve their business. You will also be an influencer to teammates and clients in how they think about measuring the value that they get from their marketing efforts. In this role, you\'ll work with some of Google\'s most advanced performance advertisers to prove and maximize Google\'s impact on their business objectives. You will work with advertising agencies and clients as a team member on Google\'s industry-focused Sales team, exchanging knowledge regarding client and agency needs within specific industry sectors. You\'ll work with a cross-functional team to present integrated, data-driven business opportunities based on internal and external tools analysis. Lastly, you\'ll own measurement for your vertical and work with advertising agencies and clients to create impact on their business.

                    +

                    Our Large Customer Sales teams partner closely with many of the world’s biggest advertisers and agencies to develop digital solutions that build businesses and brands. We enjoy a bird’s eye view on the massive transformation occurring as advertising shifts to mobile and online platforms. We\'re uniquely situated to help shape how companies grow their businesses in the digital age. We advise clients on Google\'s broad range of products across search, video and mobile to help them connect instantly and seamlessly with their audiences.

                    +
                    +
                    +
                    +

                    Responsibilities

                      +
                    • Build and own client relationships with media and analytics stakeholders, and influence investment and measurement decisions based on risks and impact to their business.
                    • +
                    • Lead client-specific Measurement Plans that define roadmap to improve client’s measurement and attribution maturity based on client’s biggest measurement and attribution gaps.
                    • +
                    • Advise clients on experiments to demonstrate the impact of Google media (value of search, etc.) and design analyses that uncover growth opportunities using products, market data, and platforms to improve media performance.
                    • +
                    • Build ways to solve common client business needs and share best practices (analysis, tools, frameworks) and client successes across industries.
                    • +
                    • Drive adoption of measurement and attribution solutions to better value Google and non-Google media, increase measurement maturity, and quantify business impact of media recommendation based on client business objectives and craft recommendations to lead to client action.
                    • +
                    +
                    +

                    Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                    Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and Know your rights: workplace discrimination is illegal. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                    To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                    At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                    We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                    Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                    +
                    +
                    +
                    ",,"https://careers.google.com/jobs/results/87381190283010758-analytical-lead-omnichannel-retail/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-06-03T18:31:52.671Z,False,0,5,30,https://talenthub.vectorinstitute.ai/jobs/222289689-analytical-lead-omnichannel-retail-at-google,,expired,2023-05-04T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, +52383ef6-3db3-4353-91b4-085b88d529d9,231456696,TD Bank Group,Data Conversion Lead Workday/Peoplesoft,on_site,"Toronto, ON",2023-06-01T15:53:02.056Z,"
                    +

                    Company Overview

                    +
                    +

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    +

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    +

                    +

                    Department Overview

                    +
                    +

                    What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                    +

                    As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                    +

                    TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                    +

                    -

                    Job Description:

                    +

                    Job Description

                    +
                    +

                    About this Role
                    While you are a natural leader, you don’t mind getting your hands dirty. And in your role, you will simultaneously work to create data related solutions to drive business results, while working with senior leadership to communicate timelines and progress and identify business opportunities. You are not only a functional expert, you also possess broad managerial experience and specialized knowledge of regulatory and industry frameworks, using that knowledge to inform development cycles and develop industry leading analytic solutions. Most of all, your work ethic and thought leadership inspires your team to innovate with purpose, execute with speed, collaborate to deliver world-class data solutions and ultimately become leaders themselves.
                    We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work enterprise wide.
                    As a Data Scientist II, these are the essential qualifications of this role:

                    +
                      +
                    • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative data solutions that will become core work you’re doing
                    • +
                    • Work closely with business owners to find opportunities and serve as an ambassador for data science
                    • +
                    • Design and deliver enterprise analytic solutions for stakeholders
                    • +
                    • Participate in Workday implementation activities including discovery, design, configuration, documentation, testing, and project review sessions related to data conversion activities
                    • +
                    • Facilitate data discovery workshops, downstream impact analyses and proactively manage stakeholder expectations
                    • +
                    • Lead projects of moderate to complex risk and data requirements; may lead end-to-end data conversion activities
                    • +
                    • Analytical thought leadership and staying ahead of developments in data mining and the application of data science
                    • +
                    • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
                    • +
                    • Conduct a range of data analyses, demonstrating your in-depth experience with very large datasets and big data technologies; assessing business information-related data requirements aligned to business needs and for specific data platforms, applications systems and servers
                    • +
                    • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
                    • +
                    +

                    -

                    Role Summary

                    +

                    Requirements

                    +
                    What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    +
                      +
                    • Undergraduate degree or technical certificate
                    • +
                    • Seven (7) or more years relevant experience implementing enterprise solutions with at least one full life cycle using Workday
                    • +
                    • Sound conceptual knowledge in your area of specialty
                    • +
                    • Advanced analytical and problem-solving skills
                    • +
                    • Strong programming skills in Python and PySpark.
                    • +
                    • Comfortable in version control tools such as Git and knowledge of cloud environments such as Microsoft Azure.
                    • +
                    • Experienced in working in Big Data Analytical environments/technologies (Hadoop, HIVE, Spark), with a deep understanding of data mining and analytical techniques.
                    • +
                    • Experienced in working with relational databases.
                    • +
                    • Strong knowledge of Human Resources, financial services, and banking products. Working knowledge of Human Capital Management is preferred.
                    • +
                    • Out-of-the-box thinker who seek out innovative solutions and embrace evolving technologies
                    • +
                    • Strong ability to work collaboratively and independently, communicate effectively (both speaking and writing), follow instructions/direction, and help building relationships across teams and functions
                    • +
                    • Act as a brand champion for our business area / function and TD, both internally and externally
                    • +
                    +

                    -

                    Sun Life Retail Advice & Solutions (RA&S) is one of the leading financial institutions that offer Canadians holistic advice and innovative solutions including insurance, wealth and health through a team of digitally-enabled and insights-driven human advisors.

                    Reporting to the Senior Vice President Strategy & Enablement, AVP- Advanced Analytics & Business Intelligence (BI) will be responsible for the developing and implementing data analytics strategy to enable RA&S in achieving sustainable competitive advantage, growth and profitability. The successful candidate will work in a fast-paced and dynamic environment with a focus on leading advanced analytics initiatives and business intelligence to enable RA&S to stay in the forefront of competitor actions and market developments.

                    +

                    Additional Information

                    +
                      +
                    • Data Conversion and Data Migration
                    • +
                    • Experience working with any Workday or Peoplesoft
                    • +

                    -

                    What will you do?

                    -
                    • -

                      Data Analytics strategy development and execution

                      +

                      Hours

                      +
                      37.5
                      +

                      +

                      Inclusiveness

                      +

                      At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                      +

                      +
                    ",,https://jobs.td.com/en-CA/jobs/15245254/data-conversion-lead-workday-peoplesoft-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-06-05T15:58:03.406Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/231456696-data-conversion-lead-workday-peoplesoft-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15245254/data-conversion-lead-workday-peoplesoft-toronto-ca/,expired,2023-06-01T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +4a7ff5d1-0d3e-4bfe-b6c9-15a8c74efd9f,229115254,TD Bank Group,Senior Business Analyst Workday/Peoplesoft ( Data Integration),on_site,"Toronto, ON",2023-05-25T15:53:02.123Z,"
                    +

                    Company Overview

                    +
                    +

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    +

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    +
                    +

                    +

                    Department Overview

                    +
                    +

                    Business Information Management (BIM) at TD is part of a creative, enterprise-wide data and analytics ecosystem. Roles in BIM are highly professional and valued, specialized yet inter-connected and focused on making the availability of business information to designers, developers and decision-makers a priority, all with a united purpose to serve customers and continually build a better bank.

                    +

                    We’re looking for analytical and agile professionals who can merge and translate data into technology and business information, serving today’s business needs and setting in motion TD’s longer-term goals and strategic objectives. If you get data, its power and potential, we think you’ll love working at TD, where data knows no bounds and where your professional expertise will help to drive the business forward and take your own career to new heights.

                    +
                    +

                    +

                    Job Description

                    +
                    +

                    Are you an expert level business information analyst, equipped with both conceptual and practical expertise in business information management? If so, this role offers a hands-on and high-career growth opportunity to provide business technical leadership across a broad range of information management functions to support various areas of data and analytics.
                    Enjoy partnering with colleagues and directing data traffic? In this advanced professional role, you’ll work both independently and within teams as a senior data analyst. Colleagues and business partners will look to you to manage and direct activities related to impact analysis, design and support of business data management solutions, including larger projects.
                    As a Senior Business Information Management Analyst, you will:

                      -
                    • Develop data analytics strategy that enables business medium-term strategy to create sustainable growth

                    • -
                    • Implement data analytics strategy by adapting and / or transforming existing data engineering, business intelligence, and advanced analytics functions

                    • -
                    • Partner with CXO Data Analytics team to align with overall Canada data analytics strategy.

                    • +
                    • Be the expert-level team analyst, considered an authority with in-depth knowledge and experience in data analysis and data migration as well as working knowledge of broader related areas in HR or Financial systems
                    • +
                    • Participate in Workday implementation activities including discovery, design, configuration, documentation, testing, and project review sessions related to data conversion activities
                    • +
                    • Facilitate data discovery workshops, downstream impact analyses and proactively manage stakeholder expectations
                    • +
                    • Lead projects of moderate to complex risk and data requirements; may lead end-to-end data conversion activities
                    • +
                    • Analyze and understand business and data requirements to develop complete business solutions (e.g. analysis of data models, entity relationship diagrams, data lifecycle management, governance, lineage, metadata and reporting elements)
                    • +
                    • Develop business requirements; design and implement complex business data information management frameworks
                    • +
                    • Apply automation and innovation on data platforms and on new development projects / initiatives
                    • +
                    • Conduct a range of data analyses, demonstrating your in-depth experience with very large datasets and big data technologies; assessing business information-related data requirements aligned to business needs and for specific data platforms, applications systems and servers
                    • +
                    • Partner and collaborate with business and technology partners to resolve data / application issues and ensure requirements delivery
                    • +
                    • Participate fully as a member of the project delivery team, support a positive work environment that promotes service to the business, quality and innovation and, ensure timely communication of issues/points of interest +
                    - -
                    • -

                      Data foundation transformation

                      +
                    +

                    +

                    Requirements

                    +
                    +

                    What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                      -
                    • Maintain existing data foundation for business intelligence, and self serve and advanced analytics

                    • -
                    • Adapt data foundation as needed to meet analytics and business intelligence needs while ensuring it is continuously operational with minimal disruption

                    • -
                    • Lead transformation initiative to migrate data foundation to a modern cloud-based environment

                    • +
                    • Undergraduate degree or technical certificate
                    • +
                    • Five (5) or more years relevant experience implementing enterprise solutions with at least one full life cycle using Workday
                    • +
                    • Sound conceptual knowledge in your area of specialty
                    • +
                    • Fluent in one or two programming languages
                    • +
                    • Advanced analytical and problem-solving skills
                    • +
                    • Proficient knowledge of various data sources, tools and technologies used in preparing summaries/reports
                    • +
                    • In-depth knowledge of competitor and market trends
                    • +
                    • Proficient to analyze, organize and prioritize work while meeting multiple deadlines
                    • +
                    • Expertise in using analytical software tools, MS Office, data analysis methods and reporting techniques
                    • +
                    • Strong ability to work collaboratively and independently, communicate effectively (both speaking and writing), follow instructions/direction, and help building relationships across teams and functions
                    • +
                    • Act as a brand champion for our business area / function and TD, both internally and externally
                    - +

                    -
                    • -

                      Strategic insights

                      +

                      Additional Information

                      +
                        +
                      • Experience working with Workday or Peoplesoft
                      • +
                      • Data Migration and Data Integration
                      • +
                      +

                      +

                      Hours

                      +
                      37.5
                      +

                      +

                      Inclusiveness

                      +

                      At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                      +

                      +
                    ",,https://jobs.td.com/en-CA/jobs/15245253/senior-business-analyst-workday-peoplesoft-data-integration-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-06-05T15:58:03.406Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/229115254-senior-business-analyst-workday-peoplesoft-data-integration-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15245253/senior-business-analyst-workday-peoplesoft-data-integration-toronto-ca/,expired,2023-05-25T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +c49d06fa-9348-49b5-8a8d-e6240ee7284f,226183242,BMO Financial Group,"Manager, Audit Data Analytics Developer",on_site,"Ontario, Canada",2023-05-16T15:39:05.836Z,"
                    +

                    Application Deadline:

                    06/29/2023

                    +

                    +

                    Address:

                    100 King Street West

                    +

                    +

                    Job Family Group:

                    Data Analytics & Reporting

                    +

                    +

                    +

                    +

                    Consults on and develop analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Supports the Audit function with analytics and automation of recurring analytics. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools. Banking/Financial service experience AND strong Python skill desired for this role.

                    +
                      +
                    • Acts as a trusted advisor to assigned business/group.
                    • +
                    • Leads the design, development, and implementation of analytic solutions.
                    • +
                    • Identifies emerging issues and trends to inform decision-making.
                    • +
                    • Recommends and implements solutions based on analysis of issues and implications for the business
                    • +
                    • Ensures alignment between stakeholders about business needs and data needs.
                    • +
                    • Ensures alignment between stakeholders about business needs and data needs.
                    • +
                    • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                    • +
                    • Designs, develops, and implements innovative analytical solutions.
                    • +
                    • Designs and produces regular and ad-hoc reports, and dashboards.
                    • +
                    • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                    • +
                    • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                    • +
                    • Cleanses, manipulates, and transforms data through programming / scripting for model training and validation.
                    • +
                    • Automates validation tests to improve quality and efficiency of the validation process.
                    • +
                    • Validates and tests models used in analytics and reporting to assess/address performance and compliance.
                    • +
                    • Conducts various pre-implementation and post-implementation analyses to estimate/measure business impact caused by model adoption (e.g., revenue increase, cost reduction, corporate brand image).
                    • +
                    • Promotes reporting automation, self-serve analytics consumption, and the culture of analytics-driven decision making.
                    • +
                    • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                    • +
                    • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                    • +
                    • Designs, develops, and implements innovative analytical solutions.
                    • +
                    • Designs and produces regular and ad-hoc reports, and dashboards.
                    • +
                    • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                    • +
                    • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • +
                    • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                    • +
                    • Analyzes data and information to provide subject-matter insights and recommendations.
                    • +
                    • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                    • +
                    • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                    • +
                    • Builds effective relationships with internal/external stakeholders.
                    • +
                    • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                    • +
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                    • +
                    • Provides specialized consulting, analytical and technical support.
                    • +
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • +
                    • Works independently and regularly handles non-routine situations.
                    • +
                    • Broader work or accountabilities may be assigned as needed.
                    • +
                    +

                    Qualifications:

                    +
                      +
                    • 3-7 years of relevant experience and post-secondary degree in Commerce / Engineering / Computer Science or related field of study or an equivalent combination of education and experience.
                    • +
                    • Knowledge and experience in data processing , data analysis, data analytics, statistical tool sets and/or software/web/automation development including but not limited to SQL, Python, SAS, Power BI, Spotfire, Tableau, AWS, Hadoop, Netezza and SQL Server - In-depth.
                    • +
                    • Deep knowledge and technical proficiency gained through extensive education and business experience.
                    • +
                    • Verbal & written communication skills - In-depth.
                    • +
                    • Collaboration & team skills - In-depth.
                    • +
                    • Analytical and problem solving skills - In-depth.
                    • +
                    • Influence skills - In-depth.
                    • +
                    • Data driven decision making - In-depth.
                    • +
                    +

                    +

                    +

                    We’re here to help

                    +

                    +

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    +

                    +

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    +

                    +

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    +

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    +

                    +

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Audit-Data-Analytics-Developer_R230006521?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-06-05T15:44:01.981Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/226183242-manager-audit-data-analytics-developer-at-bmo-financial-group,,expired,2023-05-16T15:39:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +86559539-0a7a-4393-9ef4-9b605a73c8cc,231466647,NVIDIA,Solution Architect – Drug Discovery and AI,on_site,"Ontario, Canada",2023-06-01T16:15:03.153Z,"
                    +

                    Large language models are helping understand the language of biology and chemistry and fundamentally changing how drugs are discovered and developed. To advance these efforts we are looking for a Solutions Architect to work with life sciences customers in EMEA focused on accelerated drug discovery. At NVIDIA, our Solution Architects are drawn from elite developers and scientists who enjoy working with the latest in GPU hardware and software. NVIDIA’s platform for machine learning, deep learning and high-performance computing have already made a major impact on the healthcare domain and are used across leading pharmaceutical companies, device manufacturers, academic medical centers, and start-ups.

                    +

                    +

                    We need a passionate, hard-working, and creative individual to help us pursue more of these opportunities in the revolution that is happening in AI-powered drug discovery. As a Solution Architect, you will work with cutting-edge computing hardware and software as well as driving the latest breakthroughs in deep learning and artificial intelligence. This role requires becoming a trusted technical advisor and leader to our customers in pharma and biotech who believe that accelerated computing and artificial intelligence is a new computing revolution and has the potential to transform the entire domain. This role offers an excellent opportunity to expand your career while empowering the world\'s most successful companies and institutes. Join us in this exciting journey!

                    +

                    +

                    What you will be doing:

                      -
                    • Identify and review strategic issues facing the business and provide analysis, decision support, and develop implementation ready strategies and tactics

                    • -
                    • Drive thought leadership in solving strategic issues using data driven approaches using data analytics

                    • +
                    • You will partner with our business/account team working with customers to develop a keen understanding of their goals, strategies, and technical needs and help define and deliver high-value solutions meeting these needs.

                    • +
                    • Staying up to date on the state of the art in your application domain and in the production deep learning and machine learning ecosystem. Your responsibilities will include enabling customer adoption of NVIDIA technology and driving positive relationships with our technology partners, making NVIDIA an integral part of end-user solutions.

                    • +
                    • Be a thought leader with vision on integrating NVIDIA technology into AI and HPC architectures for advanced applications, such as cheminformatics or drug discovery.

                    • +
                    • Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience across a range of technical areas.

                    • +
                    • Document what you know and teach others. This can vary from building targeted training for partners and other Solutions Architects, to writing whitepapers, blogs, and wiki articles, to simply working through hard problems with a customer on a whiteboard.

                    • +
                    • We make heavy use of conferencing tools, but some travel is required for this role. You are empowered to find the best way to get your job done and make our customers successful.

                    -

                    -
                    • -

                      Business Intelligence

                      +

                      What we need to see:

                        -
                      • Run business intelligence function that supports decision making and performance management

                      • -
                      • Manage and prioritize request in-take from various stakeholders that optimize delivery across factors such as value, time-to-market, and effort

                      • -
                      • Lead efforts to democratize data analytics by creating self serve capabilities for power users to access data, conduct analysis and generate insights

                      • -
                      • Ensure business intelligence function delivers value to business stakeholders, e.g. turn complex data into easy-to-understand insights with optimized visualizations

                      • +
                      • AI/ML expertise, MS or PhD (or equivalent experience) in Computational Biology, Computational Chemistry, Computational Physics, Chemical Engineering, Biophysics, or Computer Science with strong applied experience in these domains.

                      • +
                      • 5+ years of work-related experience in software development of deep learning methods for scientific applications.

                      • +
                      • Proven experience with Deep Learning software architecture and frameworks and application to scientific questions.

                      • +
                      • Full-stack scientific computing experience including software development in scientific programming languages, such as C/C++, Python, and/or CUDA.

                      • +
                      • Familiarity with containers, numerical libraries, modular software design, version control

                      • +
                      • Background in molecular modeling and life sciences.

                      • +
                      • Motivated self-starter with an equal balance of strong problem-solving skills and customer-facing communication skill.

                      • +
                      • Strong time-management and organizational skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.

                      • +
                      • Excellent communication skills particularly in the presentation of highly technical material. Must enjoy interacting with forward-thinking people, life-long learning, and staying at the cutting-edge of the domain

                      -

                    -
                    • -

                      Data science and advanced analytics

                      +

                      Ways to stand out from the crowd:

                        -
                      • Proactively apply data science and advanced analytics techniques to identify and address business opportunities

                      • -
                      • Lead execution of data science projects and manage coordination of project delivery across functions

                      • -
                      • Operationalize analytical models in the field by addressing technology, process and change management requirements

                      • -
                      • Collaborate with data analytics partners in Canada and ES to leverage common capabilities, tools and assets

                      • +
                      • Demonstrated work in Deep-learning-at-scale, cheminformatics, bioinformatics, drug discovery. Experience with molecular dynamics, docking, electronic structure methods, or major projects related to drug discovery are a plus

                      • +
                      • Background in CryoEM, Single cell sequencing or computational simulation is a plus

                      • +
                      • Experience in the pharmaceutical industry or with customers/partners in the pharmaceutical domain.

                      • +
                      • Background with accelerating scientific algorithms using parallel programming, e.g., using CUDA, OpenCL, or OpenACC.

                      • +
                      • Experience with distributed programming models for supercomputing applications, e.g., MPI.

                      • +
                      • Published record of thought leadership in a technical area or industry segment.

                      -

                    -
                    • -

                      Compliance and knowledge management

                      +

                      NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We highly value diversity in our current and future employees.

                      +

                      +

                      +

                      +

                      +
                    ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Germany-Munich/Solution-Architect---Drug-Discovery-and-AI_JR1966453-1,feed-importer@jobboard.io,,,,2023-06-05T16:20:04.367Z,False,0,2,17,https://talenthub.vectorinstitute.ai/jobs/231466647-solution-architect-drug-discovery-and-ai-at-nvidia,,expired,2023-06-01T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Product Development),Mid-Senior Level,Masters Degree,New Posting, +13e05a0a-0d22-40c5-ac6c-9475b69ab901,226183739,Scotiabank,"Manager, IFRS 9 Modelling & Analytics, Enterprise Stress Testing (12 Month Contract)",on_site,Canada : Ontario : Toronto,2023-05-16T15:52:06.438Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 177522

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    Purpose of Job:

                    +

                    +

                    As Manager, IFRS 9 Modelling & Analytics, Enterprise Stress Testing, you will contribute to the overall success of IFRS 9 credit risk modelling, analytics, and reporting for retail and small business portfolios. You will ensure specific individual goals, plans, and initiatives are executed / delivered in support of the team’s business strategies and objectives. You will also ensure all activities conducted are in compliance with governing regulations, internal policies, and procedures.

                    +

                    +

                    You will report directly to a Senior Manager or Director and be a critical member of the team overseeing the forward-looking probability of default (PD) and loss given default (LGD) models used to estimate credit risk for retail and small business lending products. With access to a modern machine learning stack that includes open-source development environments, you will assist in model development, implementation, and maintenance as we develop new methodology and models to replace the current suite. You will collaborate, on a regular basis, with a wide range of stakeholders and internal/external partners including Model Validation and Approval, Retail Provisions, Compliance, and Audit.

                    +

                    +

                    Job Responsibilities:

                    +

                    +

                    Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge
                    • Develops credit risk models for the retail and small business portfolios that predict probability of default or loss given default for IFRS 9 provisioning and financial reporting
                    • Documents all models and processes developed and works with the model validation team to ensure timely and satisfactory validation
                    • Supports the integration of new models into IFRS 9 and Enterprise-Wide Stress Testing analytics and reporting processes
                    • Works with stakeholders and technology partners to implement and test the models in user acceptance testing and production environments
                    • Understands how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions
                    • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct

                    +

                    Job Requirements:

                    +

                    +

                    • Advanced degree in Economics, Finance, Statistics, Mathematics, Physics, Engineering or other related quantitative discipline
                    • Predictive modelling or machine learning, statistical, and programming skills gained through work experience, a graduate degree, or other advanced training in a quantitative discipline
                    • Experience with Python or R including data processing with pandas or dplyr
                    • Excellent communication skills and the ability to communicate with stakeholders across a wide variety of functions, including the ability to clearly summarize and display data
                    • The candidate must demonstrate the ability to quickly grasp and embrace new concepts and technologies
                    • Experience with Linux or UNIX systems and version control software such as Git is required

                    +

                    +

                    Nice To Have:

                    +

                    • Domain expertise in retail credit risk and IFRS 9
                    • Experience with pyspark or sparklyr for data wrangling
                    • Experience with matplotlib, plotly, seaborn, or ggplot2 for data visualization
                    • Power user of Microsoft Office (Excel, Word, PowerPoint)

                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-IFRS-9-Modelling-&-Analytics%2C-Enterprise-Stress-Testing-%2812-Month-Contract%29-ON-M5C1J4/570065217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-05T22:03:00.000Z,False,0,2,4,https://talenthub.vectorinstitute.ai/jobs/226183739-manager-ifrs-9-modelling-analytics-enterprise-stress-testing-12-month-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-IFRS-9-Modelling-&-Analytics%2C-Enterprise-Stress-Testing-%2812-Month-Contract%29-ON-M5C1J4/570065217/,expired,2023-05-16T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, +f7a3b405-2ac7-4c9e-bb52-325e8d293e8d,233912683,Google,"Software Developer Intern, MS, Summer 2024",on_site,"Toronto, ON, Canada",2023-06-08T15:51:01.618Z,"
                    Google Careers is temporarily undergoing maintenance. Some actions are unavailable. +
                    ",,"https://careers.google.com/jobs/results/112363923719496390-software-developer-intern-ms-summer-2024/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-06-12T21:48:00.000Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/233912683-software-developer-intern-ms-summer-2024-at-google,,expired,2023-06-08T15:51:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Masters Degree,New Posting, +14375b3e-29ce-454b-944b-3f2060bc3dc3,243216239,CIBC,"Senior Manager, Payment Analytics",on_site,"Ontario, Canada",2023-07-05T01:41:05.002Z,"
                    +

                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                    +

                    +

                    At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                    +

                    +

                    To learn more about CIBC, please visit CIBC.com

                    +

                    +

                    Job Description

                    +

                    +

                    What you’ll be doing

                    +

                    The Senior Manager, Payment Analytics will be a leading contributor in the Analytics & Decision Science team supporting Personal and Business Banking. The Analytics & Decision Science team focuses on creating next generation analytics assets to enable data-driven decision making for partners in Product, Marketing, Client Segment and Strategy. In this role, you will lead analytics engagements to evaluate client behaviors and optimize business decisions related to product, payments and other business areas. You will present insights and make data-driven recommendations to senior leaders to help identify opportunities to grow the business and better serve our clients.

                    +

                    +

                    At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                    +

                    +

                    How you’ll succeed

                      -
                    • Implement consistent and comprehensive standards in documentation across data engineering, business intelligence and analytical models

                    • -
                    • Maintain documentation of existing data processes and models

                    • -
                    • Ensure knowledge are cross pollinated across the team to minimize key personnel knowledge risk

                    • -
                    • Ensure data and analytical processes adhere to compliance processes and data privacy policies, e.g. MEUC, PIA

                    • +
                    • +Analytics – Independently identify and leverage the right statistical techniques (descriptive, predictive, prescriptive) to extract actionable insights out of client behaviors and business trends (both internal and external). Appropriately integrate of big data, business intelligence, visualization, self-service and analytical tools into engagements. Proactively explore new applications of advanced analytics to innovate and build strategic analytics assets.
                    • +
                    • +Technology – Leverage right data/analytical tools to analyze structured and unstructured datasets, build data pipeline and visualization from multiple data sources.
                    • +
                    • +Business Understanding - Working knowledge or prior experience in the Payments space (including but not limited to Credit Cards, Debit & Mobile wallets)
                    • +
                    • +Consultant – Be an analytics consultant – Integrate deep domain knowledge with analytical capabilities to deliver value to stakeholders, enable data-driven decision making and proactively identify opportunities to drive business growth
                    • +
                    • +Ownership – Orchestrate end-to-end delivery of solutions that meet stakeholder requirements and contribute to business success – you will think and act like an owner in analytics initiatives ensuring the proper identification and translation of business needs into analytics requirements.
                    • +
                    • +Communication – Find the story in data and be flexible in communicating at varying levels of details for the right audience.
                    -

                    -
                    • -

                      Communication and relationship management

                      +

                      Who you are

                        -
                      • Effectively communicate key insights, ideas and strategies, to an executive level audience in a clear, compelling and concise manner

                      • -
                      • Proactively stay in touch with internal partners to maintain an understanding of new developments in their areas

                      • -
                      • Tailor both written and verbal communication based on audience and situation to maximize buy-in and establish productive working relationships

                      • +
                      • +You have a degree in a quantitative field (i.e. mathematics, statistics, computer science, economics, engineering, physics, business) or equivalent experience. Advanced degree is an asset (i.e. MMA, MBAN, MSc, MA, MBA).
                      • +
                      • +You are proficient in programming languages and have experience using modern data, analytical and dashboard tools (i.e. SAS, SQL, Python, R, , Alteryx, Tableau, Cognos).
                      • +
                      • +You have experience in building end-to-end analytics solutions involving large datasets (i.e. requirement gathering, data extraction, cleaning and transformation, statistical analysis, presentation & implementation).
                      • +
                      • +You are a problem solver. You have exceptional critical thinking, problem solving and decision making skills with demonstrated ability to independently identify and analyze business problems and recommend solutions.
                      • +
                      • +You have working knowledge of statistical techniques (i.e. Regression, Time-series analysis, Clustering, Decision trees, RFM, Demand forecasting).
                      • +
                      • +You are an avid learner who recognizes the analytics field is constantly evolving. You seek to explore emerging trends and best practices in the industry and are excited to share the knowledge with others.
                      • +
                      • +You can be clearly understood. You have very strong communication and presentation skills with a demonstrated ability to clearly and concisely present information to groups and individuals at all levels in the organization.
                      • +
                      • +You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do.
                      • +
                      • +Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.
                      • +
                      • +Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.
                      -
                    -
                    • -

                      Team management and other accountabilities

                      +

                      +

                      What CIBC offers

                      +

                      At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                        -
                      • Lead and coach a diverse reporting team through proactive career development and continuous feedback loop

                      • -
                      • Actively promote Sun Life brand and community image to attract talent and external partners

                      • -
                      • Ensure ongoing compliance with all applicable regulatory and policy requirements

                      • +
                      • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.
                      • +
                      • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
                      • +
                      • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.
                      • +
                      +

                      +

                      What you need to know

                      +
                        +
                      • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                      • +
                      • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                      • +
                      +

                      +

                      +

                      +

                      +

                      +

                      Job Location

                      Toronto-81 Bay, 25th Floor

                      Employment Type

                      Regular

                      +

                      Weekly Hours

                      37.5

                      Skills

                      +

                      Actionable Insights, Data-Driven Decision Making, Decision Sciences, Problem Solving
                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Manager--Payment-Analytics_2311227?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-07-14T01:46:01.975Z,False,0,2,12,https://talenthub.vectorinstitute.ai/jobs/243216239-senior-manager-payment-analytics-at-cibc,,expired,2023-07-05T01:41:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +ba02df6e-2fdb-4e80-a3c8-9b71f86798af,238529771,Scotiabank,"Manager, Loyalty Analytics - CID&A",on_site,Canada : Ontario : Toronto,2023-06-22T15:52:02.939Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 180127

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    Purpose:

                    +


                    The Data Scientist, Loyalty Analytics is accountable for conducting analyses and making fact-based recommendations for Canadian Retail by leveraging existing reward assets and partnerships. The incumbent will support his/her manager in providing analytical support and customer insights by working closely with Loyalty and Partnership, Retail Customer Value, Retail Lending, Retail Deposits teams. This role will access a wide range of sophisticated data sources to uncover insights and support various business initiatives.

                    +



                    Accountabilities:

                    +


                    • Work with key partners to identify opportunities to champion a customer focused culture, to develop or improve existing strategies, and to deepen existing customer relationships through loyalty rewards
                    • Perform insightful analyses to understand our loyalty customer base holistically and generate new business ideas
                    • Develop and maintain contractual reports, dashboards of Loyalty Partners
                    • Support loyalty campaign sizing and post campaign analyses
                    • Manage and prioritize multiple business initiatives, projects and ad-hoc analysis with business stakeholders and/or external partners/consultants
                    • Acquire and enhance knowledge of business/product strategies, competitive practices, market insights, advanced analytical tools/methodologies to continuously improve analytics value

                    +


                    Requirements & Qualifications:

                    +


                    • 3+ years relevant extraction in an Analytic role in business, financial industry
                    • Demonstrated proficiency in working with large datasets, raw data sources, both structured and unstructured data, using programming language such as SAS, SQL, Python (analytic/visualization related libraries: i.e. Numpy, Pandas), Spark
                    • Experience in MinIO, Airflow, Git, Google Cloud Platform (BigQuery, Looker and Vertex AI etc.) would be an asset
                    • Proficient in Power BI, Excel
                    • Good verbal and written communication and presentation skills
                    • Excellent analytical, logical, and organizational skills; a drive to understand the relationships between data and activities, draw conclusions and use critical thinking to validate/verify outputs
                    • A strong focus on attention to detail to produce high quality, accurate and timely deliverables to meet deadlines
                    • Creative problem solver, self starter, resourceful in getting things done
                    • Graduate or undergraduate degree in quantitative discipline such as management analytics, statistics, mathematics, operations research, economics computer science, or engineering
                    • MBA, CFA, CPA preferred

                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Loyalty-Analytics-CID&A-ON-M5C2T6/571509017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-13T15:57:03.013Z,False,0,4,30,https://talenthub.vectorinstitute.ai/jobs/238529771-manager-loyalty-analytics-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Loyalty-Analytics-CID&A-ON-M5C2T6/571509017/,expired,2023-06-22T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +595eed16-909d-43bd-b4b9-55875451472f,216106315,TD Bank Group,Sr. Machine Learning Engineer ML Engine(Layer 6),on_site,"Toronto, ON",2023-04-17T17:24:03.461Z,"
                    +

                    Company Overview

                    +
                    +

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    +

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    +
                    +

                    +

                    Department Overview

                    +
                    +Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence.

                    Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 – Visual Relationship (winner in 2019).
                    +

                    +

                    Job Description

                    +
                    +The goal of the ML Engine team is to enable training and deploying robust and high-performing models by providing a solid foundation and allowing for fast iteration. We are looking for experienced Senior Machine Learning Engineers (engineering lead) who have worked under tight deadlines and guided teams towards successful deliveries. The ideal candidate is a master of coding and system design with track record of technical leadership. They are experts in managing complex requirements and working with big data.

                    +

                    The candidate will be the go-to person for the machine learning engine. They will lead efforts of members on the ML Frameworks team shipping core engine from 0 to 1, which will be used across the Bank. The candidate will interact with machine learning scientists, MLOps teams to develop systems that will satisfy the needs of machine learning projects.

                    +

                    What are your main responsibilities?

                    +
                      +
                    • Own and ship a significant set of the ML engine.
                    • +
                    • Lead the design and implementation of the ML engine, including data pipelines, feature pipelines, model, inference, and production hand-off patterns.
                    • +
                    • Go-to person for machine learning engine at the bank.
                    • +
                    • Lead and mentor Machine Learning Engineers to ensure best engineering practices in our systems.
                    • +
                    +
                    +

                    +

                    Requirements

                    +
                    +Must-Have:

                    +

                    Bsc+ in Computer Science, Math, Physics, or similar
                    5+ years of extensive programming experience, at least 3 years of experience in ML systems.
                    3+ years experience of building machine learning systems.
                    Expert with Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Spark, Cassandra, Kafka, Elasticsearch.
                    Experience with Big Data solutions developed in large cloud computing infrastructures such as Azure and AWS
                    You value good software design and sweat over details in code and API design.
                    You enjoy learning new technology and also educating others.
                    You take great personal pride in building robust and scalable software.
                    You strive to communicate clearly and with empathy.
                    You are highly accountable and have a strong sense of ownership.
                    Ability to do detailed code reviews and give thoughtful feedback.

                    +

                    Nice to have

                    +

                    Experience building a library or a framework.
                    Comfortable with statistics.
                    Knowledge of machine learning and deep learning.
                    Knowledge of distributed systems.

                    +
                    +

                    +

                    Additional Information

                    +
                    #LI-Hybrid
                    +

                    +

                    Hours

                    +
                    37.5
                    +

                    +

                    Inclusiveness

                    +
                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.
                    +

                    +
                    ",,https://jobs.td.com/en-CA/jobs/17734671/sr-machine-learning-engineer-ml-engine-layer-6-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-15T22:39:00.000Z,False,0,5,29,https://talenthub.vectorinstitute.ai/jobs/216106315-sr-machine-learning-engineer-ml-engine-layer-6-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17734671/sr-machine-learning-engineer-ml-engine-layer-6-toronto-ca/,expired,2023-04-17T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +162e733f-087c-47a4-99b9-2710f5cab04e,222298125,Sun Life Financial,"Manager, Campaign Data Design and Decision Intelligence",on_site,"Ontario, Canada",2023-05-04T17:41:03.322Z,"
                    +

                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                    +

                    +

                    +

                    Job Description:

                    +

                    +

                    Role Summary

                    +

                    Join a team that is transforming data and analytics at Sun Life Financial (SLF) Canada. Sun Life’s Client Experience Office (CXO) Analytics area is aggressively enhancing its campaign design and data integration capability with new tools, and most importantly, new talent.

                    +

                    +

                    As a Manager of CXO Campaign Design Data Analytics team, you will play a pivotal role in working closely with our business partners to enable digital engagement, understand our client needs in new ways, and ultimately enable a leading client experience. You will be hands-on in driving key technical decisions ensuring the right trade-offs are made to deliver high-quality results and deliver high, measurable value for our business partners and our Clients.

                    +

                    +

                    Sunlife is embarking on an exciting journey to adopt state of the art decision engine and you will play a pivotal role in adopting this new technology, designing and orchestrating real time decisions and creating cross channel journeys that integrate real time information, integrated with analytical models and many more such advanced capabilities.

                    +

                    +

                    What will you do?

                    +

                    +

                    As a People Leader, you will:

                    +
                      +
                    • Coach, mentor and manage 3- 4 campaign data analysts to develop a high performing, highly motivated, innovative, and engaged team of professionals.

                    • +
                    • Effectively hire, onboard, and retain talent, with a focus on sustainability and long-term development needs.

                    • +
                    • Monitor and evaluate performance by providing timely and regular feedback on personal and team goals.

                    • +
                    • Identify process gaps, efficiencies, refinements and establish new process

                    • +
                    +

                    +

                    As a Technical Leader your responsibilities include:

                    +
                      +
                    • Provide technical leadership for multiple ongoing initiatives.

                    • +
                    • Responsible for the design, and successful implementation of effective and quality solutions that resolve highly complex business problems and supports business needs.

                    • +
                    • Accountable for delivery according to pre-agreed timelines and ensure that delivery meets the integrity, quality and performance requirements.

                    • +
                    • Gather, document, and help form business requirements, key performance indicators, and other functional and technical requirements.

                    • +
                    • Interact frequently with stakeholders including interaction with marketers, analysts, web developers, content and creative designers

                    • +
                    • Gain hands-on experience working with advanced marketing automation platforms, enterprise-level data structures and complex MarTech integrations

                    • +
                    • Collaborates in an agile team to understand business objectives and develop campaign solutions that deliver best in class, engaging and highly relevant experience

                    • +
                    • Liaise with stakeholders across other teams to resolve discrepancies

                    • +
                    • Manage and execute data requests ensuring requests are aligned to business priorities and the request fulfillment meets the business needs

                    -

                    What will you need to succeed?

                      -
                    • Minimum of 10 years relevant business experience, ideally within insurance, wealth management or other financial services

                    • -
                    • Experience in leading advanced data analytics functions, e.g. predictive analytics, business intelligence, data engineering

                    • -
                    • Strong business and technical understanding of data and advanced analytics concepts and technology

                    • -
                    • Experience in leading high performing teams and professional knowledge workers

                    • -
                    • Experience in financial and quantitative analysis, including using modelling tools and techniques, would be an asset

                    • -
                    • University degree in business, engineering, computer science or related discipline

                    • +
                    • Bachelor’s degree in a field with a strong technical core such as Computer Science, Software engineering, Business Analytics, Engineering Science, Statistics, Math, Business Commerce or equivalent working experience

                    • +
                    • Over 6 years experience in campaign design, solution architecture, data management and a solid understanding of the data needs of marketing, campaigns and business.

                    • +
                    • Relevant experience working with one of the leading decision engines (eg SAS ID,,RTDM, FICO, IBM ODM etc)

                    • +
                    • Related work experience in Campaign execution and operations, marketing automation, digital communications, database marketing and data analysis

                    • +
                    • A minimum of 2+ years of experience as a people leader with the demonstrated ability to coach and develop talent.

                    • +
                    • 6+ years experience in data analytical role: Analytical programming languages (e.g. SAS, SQL, Python).

                    • +
                    • Knowledge of Marketing Automation platform such as Adobe Campaign, Siebel Marketing, Unica or Salesforce Pardot

                    • +
                    • Highly driven and self motivated having the ability to drive solution design in a multi system setting.

                    • +
                    • Familiarity with APIs , REST, SOAP.

                    • +
                    • Solid communication skills – have the ability to explain complexity of data to a business audience and explain the complexity of business to the IT audience

                    • +
                    • Passion to challenge the status quo, find new solutions and drive out-of-the-box ideas​.

                    • +
                    +
                      +
                    • Believes in a non-hierarchical culture of collaboration, transparency, safety, and trust. ​

                    • +
                    • Not afraid to “roll up the sleeves” and seeks to go outside comfort zone to learn, pushing teams to do the same. ​

                    • +
                    • Empowers others to fail, learn, and grow​.

                    • +
                    • Highly collaborative and ability to work in a fast-paced and dynamic environment professionally and positively.

                    -

                    What\'s In It For You?

                    +

                    Unique Requirements

                    +

                    +

                    Candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (http://iss-ssi.pwgsc-tpsgc.gc.ca/msi-ism/ch2-prt1-eng.html) ​

                    +

                    +

                    What’s in it for you?

                    • Competitive salary and bonus structure influenced by market range data

                    • 20 days vacation per year and an innovative sabbatical program

                    • Great Place to Work® Certified in Canada and the US - 2022

                    • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                    • +
                    • Named “Best Places to Work” by Glassdoor - 2021

                    • +
                    • Canada Award for Excellence for Mental Health at Work - 2021

                    • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid #LI-Remote

                    • A friendly, collaborative and inclusive culture

                    • -
                    • Being part of our Analytics community, where we share best practices and broaden skill-sets

                    • Flexible Benefits from the day you join to meet the needs of you and your family

                    • Pension, stock and savings programs to help build and enhance your future financial security

                    • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                    -

                    The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                    @@ -234650,143 +242382,126 @@ e39b4a81-beae-44e6-8134-c171d5f39d4a,230332242,Sun Life Financial,"AVP, Advanced

                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                    -

                    Salary Range:

                    138,100/138 100 - 218,200/218 200

                    +

                    Salary Range:

                    74,100/74 100 - 120,800/120 800

                    Job Category:

                    Advanced Analytics

                    -

                    Posting End Date:

                    07/06/2023
                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/AVP--Advanced-Analytics-and-Business-Intelligence_JR00080656-1?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-06-08T16:15:03.042Z,False,0,3,27,https://talenthub.vectorinstitute.ai/jobs/230332242-avp-advanced-analytics-and-business-intelligence-at-sun-life-financial,,expired,2023-05-29T16:10:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -1c9e3697-f472-47ef-8555-3bb55c7116dc,232857664,RBC,Director Data Strategy and Governance,on_site,"Toronto, ON, Canada",2023-06-05T15:47:03.248Z,"
                    -

                    Come Work with Us!

                    At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                    Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                    -

                    Job Title

                    Director Data Strategy and Governance

                    -

                    -

                    Job Description

                    -

                    What is the Opportunity?

                    -

                    RBC Capital Markets is undertaking a green field project to build a new capability to serve corporate clients.

                    +

                    Posting End Date:

                    14/05/2023
                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Manager--Campaign-Design-and-Data-Delivery_JR00077760-1?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-05-15T22:42:00.000Z,False,0,4,25,https://talenthub.vectorinstitute.ai/jobs/222298125-manager-campaign-data-design-and-decision-intelligence-at-sun-life-financial,,expired,2023-05-04T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +e4ed438a-094f-4343-9056-607d096d52c0,221072049,CIBC,"Director, Treasury Quantitative Analytics",on_site,"Ontario, Canada",2023-05-01T17:06:01.820Z,"
                    +

                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                    -

                    Your role will be to use your deep knowledge of data, combined with your understanding of client and business needs to create the business context to bring our data to life for the US Cash Management team and clients alike. You are a thoughtful, proactive, creative, analytical individual with a passion for solving problems for your colleagues and clients through the use of data.

                    +

                    At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                    -

                    What will you do?

                    -
                      -
                    • Develop and drive implementation of the overall Data Strategy for the Business
                    • -
                    • Collaborate with Technology on the build of the foundational data layer including data infrastructure and provide business requirements and direction
                    • -
                    • Work with Business and IT partners to define strategic and tactical data requirements of the organization to fulfill business needs.
                    • -
                    • -Drive the key initiatives of the Data team and make sure the initiatives are aligned and run smoothly
                    • -
                    • Be the Data SME and primary contact supporting the Business’ various projects, with a focus on data governance, quality, requirements and specifications.
                    • -
                    • Understand the data sources, flows, architecture, data repositories, data requirements for downstream users
                    • -
                    • Working with the Data Governance team, review and update Critical Data Element (CDEs), identifying data risks and corresponding data controls.
                    • -
                    • Review, understand and challenge the lineage of documented CDEs
                    • -
                    • Working with partners, to ensure the Business complies with data privacy policies and data protection regulations.
                    • -
                    • Supporting the data requirements for Client Statements
                    • -
                    • Keep up to date with Agile best practices
                    • -
                    • Foster a data-driven culture
                    • -
                    +

                    To learn more about CIBC, please visit CIBC.com

                    +

                    Job Description

                    -

                    What do you need to succeed?

                    -

                    Must-have

                    -
                      -
                    • 10+ years experience supporting a data initiative
                    • -
                    • Bachelor degree in Computer Science, Engineering, Technology or related field
                    • -
                    • Database development, querying and analysis tools and languages such as SQL, Oracle, Python, Data Visualization, Tableau etc
                    • -
                    • Passion for data, and commitment to learn new data capabilities
                    • -
                    • Knowledge of data governance and data management concepts such as critical data elements, data lineage, data accuracy and completeness and data controls
                    • -
                    • Understanding of technical data concepts such as data ingestion, data warehouse, data lakes, master reference data, data models, systems of record, aggregation layer and reporting systems
                    • -
                    • Experience with using Jira and Confluence
                    • -
                    • Excellent business communication skills (written and oral).
                    • -
                    • Ability to work independently and possess strong analytical and data problem-solving skills
                    • -
                    • Strong collaboration and relationship management skills
                    • -
                    • Effective time management and organizational skills to meet tight timeframes, as well as flexibility to adapt to changing priorities while assessing impact to existing work
                    • -
                    +

                    What You’ll Be Doing

                    -

                    What\'s in It for You?

                    -

                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                    -
                      -
                    • Positive work culture emphasizing diversity and inclusion, volunteerism and community involvement
                    • -
                    • A comprehensive Total Rewards Program including great benefits, annual incentive program and recognition
                    • -
                    • Leaders who support your development
                    • -
                    • A dynamic, collaborative, and high-performing team
                    • -
                    • Opportunities to do challenging work and grow your career
                    • -
                    -

                    Work-life integration

                    +

                    Treasury Analytics supports the senior Treasury leadership team in establishing the analytical and systems framework to measure, model, and optimize retail product risks and customer behavior. This support consists of pricing new and existing retail banking products, forecasting P/L, and transfer pricing the interest-rate and optionality risk from retail SBU’s into Treasury for hedging. Treasury Analytics also manages the customer behavior risk to optimally maintain minimal customer behavior risk in the Canadian Retail Balance Sheet.

                    +

                    As the Director, Treasury Analytics, you will support Senior Directors to evolve and expand the mandate of Treasury Analytics, providing strategy and leading the management of individual cashflow modeling programs. You will drive insights, identify inherent risk drivers of consumer products and relate relate modeling risk specifications back to the business. This requires the ability to think critically, dive into the underlying mechananics of the specific problems and translate complex concepts into program enhancements and specification to Technology for development. This is a high visibility role where the Director must effectively communicate complex problems and solutions to senior treasury executives and LOB.

                    -

                    Job Summary

                    RBC Capital Markets is undertaking a green field project to build a new capability to serve corporate clients.

                    Your role will be to use your deep knowledge of data, combined with your understanding of client and business needs to create the business context to bring our data to life for the US Cash Management team and clients alike. You are a thoughtful, proactive, creative, analytical individual with a passion for solving problems for your colleagues and clients through the use of data.

                    Address:

                    TORONTO, Ontario, Canada

                    City:

                    CAN-ON-TORONTO

                    Country:

                    Canada

                    Work hours/week:

                    37.5

                    Employment Type:

                    Full time

                    Platform:

                    Capital Markets

                    Job Type:

                    Regular

                    Pay Type:

                    Salaried

                    Posted Date:

                    2023-05-31

                    Application Deadline:

                    -
                    -

                    Inclusion and Equal Opportunity Employment

                    -

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    -
                    -

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                    -
                    ",,https://jobs.rbc.com/ca/en/job/R-0000060683/Director-Data-Strategy-and-Governance,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-06-08T15:52:03.113Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/232857664-director-data-strategy-and-governance-at-rbc,,expired,2023-06-05T15:47:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, -5ab59b85-1f53-4621-bbbc-fac8362820f7,231456699,TD Bank Group,"Manager, Analytics & Insights",on_site,"Toronto, ON",2023-06-01T15:53:02.100Z,"
                    -

                    Company Overview

                    -
                    -

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    -

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    -
                    +

                    Additionally, you will maintain/enhance the analytics infrastructure developed in Treasury Analytics used to conduct analysis of how consumer behavior affects retail product cash-flows and the use of embedded options; to assist in developing business requirements; to assist in appling advanced statistical models and financial engineering techniques to quantify and ensure mimimal consumer behaviour risk. You will also assist in implementing/applying advanced analytics for optimization, reporting, P/L decomp and back-testing, and risk factor simulation and to interpret and explain any resulting output. This is a unique opportunity that involves leadership and development of the Treasury Analytics functions and expansion of mandates.

                    -

                    Department Overview

                    -
                    -

                    What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                    -

                    We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                    -
                    +

                    At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                    -

                    Job Description

                    -
                    -

                    -

                    About this Role

                    -

                    You’ll manage a group of diverse, inclusive and collaborative Business Insights & Analytics Specialists, taking an integrated approach as you build relationships with business owners and internal partners in TD. With your deep knowledge of the business world, its organizational makeup and practices, you’ll develop key insights to address their rapidly growing data and information needs, business objectives and opportunities for improvement. Your team will be integral in the delivery of ongoing analytics projects as well as comprehensive ongoing support. Most importantly, your leadership inspires leadership in others, as well as the drive to execute with speed and precision and help bring TD into the future of business.

                    -

                    We are looking for someone to lead and cultivate a sizeable team of Business Insights & Analytics professionals/specialists.

                    -

                    -

                    As the Manager, Analytics & Insights you will:

                    +

                    How You’ll Succeed

                      -
                    • Lead and manage a sizeable team of Analyst professionals and overall operation of a diverse group in an area of moderate risk, complexity or scope
                    • -
                    • Ensure an integrated approach with other business management areas, broader organization, and enterprise as appropriate
                    • -
                    • Deep knowledge and understanding of businesses /technology, and organizational practices/disciplines
                    • -
                    • Sound to advanced knowledge of external competition, industry and/or market trends in relation to own function/business
                    • -
                    • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                    • -
                    • Manage raised client issues or priorities and contact appropriate areas to resolve or minimize business problems/issues
                    • -
                    • Apply judgement, discretion and collaborate with internal partners to navigate and resolve ambiguous issues
                    • -
                    • Oversee and lead a large and/or highly complex, and diverse reporting function for an area of significant risk, complexity or scope
                    • -
                    • Review and/or build the presentation of insights back to executive leaders/business partners to drive strategic improvement
                    • -
                    • Collaborate with business partners to shape and prioritize ad hoc analysis
                    • -
                    • Set operational team direction, working in partnership to execute on common goals
                    • -
                    • Use data systems and various sources to ensure team is equipped to formulate well-defined solutions to solve business problems
                    • -
                    • Ensure team uses knowledge of data capabilities across the organization to build and deliver on business analytics and insights
                    • -
                    • Oversee the development and ongoing analysis for a business line or functional area employing both internal and external data from various sources
                    • -
                    • Manage workload of analytics team; assigning data request to staff based on skills and development needs
                    • -
                    • Support execution with excellence on key initiatives/programs
                    • -
                    • Design effective test and learn for various programs or scenarios
                    • -
                    • Develop analytic solutions to support insight generation that align to strategy and drive shareholder value
                    • -
                    • Lead large complex analytics projects to identify opportunities to further optimize our current product suite through self-initiated insights
                    • -
                    • Present insights back to executive leaders / business partners to drive strategic improvement
                    • +
                    • Management and Enhancement of Cash-Flow Modeling Books - Leadership role to specify and model the retail risk representation in the cashflow modeling book (CFMB). This includes working with the LOB to understand any behavioural changes and strategic thinking to evolve the program to effectively model and hedge risk. Liase with Treasury CFO group to interpret and explain cash-flow modeling P/L variability. Enhancing PnL decomposition and signing off on daily cash-flow modeling P/L.

                    • +
                    • Financial/Derivative Analytics - Ensure pricing and risk analytics capture all hedge-able risks as is practical. This will include work to prototype pricing and hedge of fixed income derivatives. Maintain/Develop analytics/methodologies for transfer pricing new retail products, assess new and existing retail product profitability, and cash-flow modeling book.

                    • +
                    • Consumer Behavior Analytics - Apply customer behaviour calibration techniques for Treasury Analytics’ parameter review. Incorporate consumer behavior models into the funds transfer pricing and hedging processes. Collaborate in the development, continuous improvement and ongoing expansion of an analytics library with appropriate tools, models and techniques for modeling of customer behaviour and interest rate risks.

                    • +
                    • Systems and Support (Infrastructure) - Lead development and implementation of various strategic business initiatives. This includes liaise with various groups within CIBC to explain methodologies, and procedures developed within Treasury Analytics to assess analytic/data requirements for future business activities and resolve any issues which arise. Lead the maintenance of pricing, risk and mathematical analytics library supporting integration across all Treasury systems that are used for Bank-wide benchmarking to validate pricing or risk. This will ensure consistency of risk measures across different risk platforms and measures and mitigate model risk.

                    • +
                    • Quantitative Analysis - Lead the implementation of sophisticated mathematical modeling, processes or algorithms to conduct analysis. Ensure operational effectiveness to deliver analytics capabilities, ensuring that outputs are correct and reproducible, and proper documentation to explain methods.

                    -

                    -

                    Requirements

                    -
                    -What can you bring to TD?
                    Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    +

                    Who You Are

                      -
                    • Undergraduate or post graduate degree within Data Analytics space or Data Analysis / reporting certificate
                    • -
                    • Seven (7) or more years relevant experience with exposure to lead a team of several members.
                    • -
                    • Extensive experience using SQL, Python and Tableau
                    • -
                    • Experience with Adobe Analytics
                    • -
                    • Great communication skills to manage relation with stakeholders.
                    • +
                    • You can demonstrate experience. In ALM, Product Analytics, and Risk Management with a bank and/or other financial institution. You have strong work experience in applied mathematical, quantitative analytics, statistical, or stochastic modeling. Strong system and quantitative programming skills using C/C++/Python/R/SQL or high-level languages. Experience in working with banking retail products such as commitments, mortgages or GICs.

                    • +
                    • It’s an asset. Experience in quantitative analytics with a bank and/or other financial institution in areas of valuation, hedging and risk measurement is a strong asset. Exposure to valuation and risk metrics of various interest rate derivatives will be an asset.

                    • +
                    • You can demonstrate knowledge. In financial economics, financial mathematics such as fixed income theory, statistics, treasury processes, risk management and balance sheet modeling techniques. You have strong theoretical understanding of financial economics, financial mathematics, statistics, risk management and option modeling techniques. Ability to express modeling insights with an aptitude for explaining PnL and risk drivers. Experience in advanced GLM (including Cox regression), panel time series and model selection.

                    • +
                    • You have a degree/diploma. Masters/Doctoral degree in mathematics, computer science, quantitative finance, engineering, statistics and/or related technical subject.

                    • +
                    • You’re goal oriented. You’re motivated by accomplishing your goals and delivering your best to make a difference.

                    • +
                    • You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way. Ability to express modeling insights with an aptitude for explaining PnL and risk drivers. Creative problem solver and strong analytical skills.

                    • +
                    • You\'re motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.

                    • +
                    • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                    -

                    -

                    Additional Information

                    -
                    #LI-Hybrid
                    +

                    What CIBC Offers

                    -

                    Flexible Work Options

                    -
                    N/A
                    +

                    At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                    +
                      +
                    • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                    • +
                    • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                    • +
                    • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                    • +

                    -

                    Hours

                    -
                    37.5
                    +

                    What you need to know

                    +
                      +
                    • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                    • +
                    • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                    • +

                    -

                    Inclusiveness

                    -

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -
                    ",,https://jobs.td.com/en-CA/jobs/18107934/manager-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-06-08T15:58:01.449Z,False,0,4,13,https://talenthub.vectorinstitute.ai/jobs/231456699-manager-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18107934/manager-analytics-insights-toronto-ca/,expired,2023-06-01T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -42eeab61-e263-413e-ac11-30254af911d4,223895804,PolyML,Data Scientist -Hybrid or Remote ,full,"Waterloo, ON, Canada",2023-05-09T21:49:01.845Z,"

                    Please note: PolyML is one of our participating employers in the upcoming Talent Meetup with Startups and Scaleups event hosted in a hybrid capacity on May 17, 2023, from 12.00-2.00 PM. Attending employers looking to meet and interview a captive audience of AI professionals who are actively seeking new opportunities now or by Fall 2023.

                    Founded in 2018, Polyalgorithm Machine Learning Inc (PolyML) is an artificial intelligence (AI) company that specializes in extracting valuable predictive insights from challenging and complex data. Our approach is deeply rooted in advanced mathematics and data science. Our technology stack is entirely proprietary, built from the ground-up and ranges from highly optimized implementations of classic methodologies to powerful and innovative tools and algorithms of our own design.

                    At PolyML we produce machine learning software. We currently have a proprietary product using a novel technique for feature importance with insights (FIINS). Our development languages are darwin (a variant of Maple) and Python.

                    We have current projects to
                    1) implement FIINS in python
                    2) build a cloud-based web app to run FIINS
                    3) design and implement new features for FIINS
                    4) develop methods for tuning FIINS for particular client needs
                    5) run FIINS for client trials.

                    We are a small, highly skilled group, so everybody is involved in everything. We are looking for someone with any or all (preferably several) of the following skills:
                    1) good understanding of machine learning, especially feature importance,
                    2) experience in Python and ability to learn new languages (Darwin),
                    3) experience with cloud-based web app development,
                    4) experience with using machine learning tools

                    ",samruddhi.hadkar@vectorinstitute.ai,,aitalent@vectorinsitute.ai,https://polyml.com/,,,2023-06-08T21:49:00.000Z,True,40,0,444,https://talenthub.vectorinstitute.ai/jobs/223895804-data-scientist-hybrid-or-remote-at-polyml,,expired,2023-05-09T21:49:00.000Z,admin,Startup (1-19),Vector Quick Apply,Software,Associate,Masters Degree,New Posting, +

                    +

                    +

                    +

                    Job Location

                    161 Bay Street, 39th Floor

                    Employment Type

                    Regular

                    +

                    Weekly Hours

                    37.5

                    Skills

                    +

                    Asset and Liability Management (ALM), Behavior Modeling, C++ Programming Language, Communication, Critical Thinking, Financial Modeling, Fixed Income Valuation, Hedging, PL/SQL (Programming Language), Product Analytics, Python (Programming Language), Risk Management, R Programming, Treasury Management
                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Director--Treasury-Quantitative-Analytics_2304779?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-05-12T17:13:00.000Z,False,0,3,17,https://talenthub.vectorinstitute.ai/jobs/221072049-director-treasury-quantitative-analytics-at-cibc,,expired,2023-05-01T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, +4ee9e0e6-8496-4b5c-82ff-c11ebd5c3c6b,215792287,Google,"Student Researcher, MS, 2023",on_site,"Toronto, ON, Canada",2023-04-16T17:20:02.874Z,"
                    +
                    +2023-03-31T19:30:50.723Z
                    +
                      +
                    • Share
                    • +
                      Save +
                    • +

                    Student Researcher, MS, 2023

                      +
                    • Google
                    • +
                    • In-office:
                      + Waterloo, ON, Canada +
                    • +
                    • + 2 more locations
                    • +
                    +
                    +
                    +

                    Participation in this program requires that you are located in Canada for the duration of the engagement.

                    +

                    This opportunity is intended for students who are pursuing a MS degree with an anticipated graduation date after December 2024, depending on their program and unique circumstances. If you are graduating before December 2024, we encourage you to apply to the Internship openings.

                    +

                    To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English (PDFs preferred). Please ensure your anticipated graduation dates (in MM/YY) and any proficiency in coding languages are listed on resume.


                    Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Montreal, QC, Canada; Toronto, ON, Canada.

                    +
                    +

                    Qualifications

                    +

                    Minimum qualifications:

                    +
                      +
                    • Currently enrolled in a Master\'s degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences.
                      +
                    • +
                    • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, etc.).
                      +
                    • +
                    +

                    Preferred qualifications:

                    +
                      +
                    • Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
                    • +
                    • Currently attending a degree program in Canada.
                    • +
                    • Experience as a researcher, including internships, full-time, or at a lab.
                    • +
                    • Experience contributing to research communities or efforts, including publishing papers in conferences or journals.
                      +
                    • +
                    • Experience with one or more general purpose programming languages (e.g., C/C++, Java, MATLAB, Go, Python, etc.).
                      +
                    • +
                    • Ability to speak and write in English fluently.
                    • +
                    +
                    +
                    +
                    +

                    About the job

                    +

                    The Student Researcher Program’s primary objective is to foster academic collaborations with students through research at Google. Join us for a paid Student Researcher position that offers the opportunity to work directly with Google research scientists and engineers on cutting-edge research projects.

                    +

                    The Student Researcher Program offers more opportunities for research students to work on critical research projects at Google in a less structured way. The program allows for opportunities beyond the limitations of our traditional internship program on aspects such as duration, time commitment, and working location (with options for on-site or remote). The topics student researchers work on tend to be open-ended and exploratory, and don\'t always have a clear deliverable like a traditional internship would.

                    +

                    Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world\'s fast-paced business needs.

                    +
                    +
                    +
                    +

                    Responsibilities

                    • Participate in research to develop solutions for real-world, large-scale problems.
                    +
                    +

                    Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                    Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and Know your rights: workplace discrimination is illegal. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                    To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                    At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                    We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                    Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                    +
                    +
                    +
                    ",,"https://careers.google.com/jobs/results/139843443313517254-student-researcher-ms-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-05-16T15:56:02.182Z,False,0,18,88,https://talenthub.vectorinstitute.ai/jobs/215792287-student-researcher-ms-2023-at-google,,expired,2023-04-16T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Masters Degree,New Posting, 65d5da93-ef25-4a4a-b4c8-a39e07d831e7,193810471,University of Toronto,AI 4 Public Health (AI4PH) Summer Institute,on_site,"Toronto, ON, Canada",2023-02-07T21:52:12.128Z,"

                    July 18-21, 2023, Fields Institute, Toronto, Ontario

                    Applications are now open for an innovative training program, the Artificial Intelligence for @@ -234943,83 +242658,6 @@ e8f41af1-4aee-4340-9253-9b16b907941b,198986187,RBC,Senior Associate - Reporting

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                    ",,https://jobs.rbc.com/ca/en/job/R-0000049131/Senior-Associate-Reporting-Analytics-Jersey,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-03-09T17:21:01.877Z,False,0,3,18,https://talenthub.vectorinstitute.ai/jobs/198986187-senior-associate-reporting-analytics-jersey-at-rbc,,expired,2023-02-23T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -3aa03f2b-aaca-4c83-a50d-8185f86bfd5b,202114052,Scotiabank,"Manager, AML/ATF Models and Analytics - Contract",on_site,Canada : Ontario : Toronto,2023-03-06T17:22:04.321Z,"

                    -

                    -

                    -

                    -

                    Requisition ID: 173965

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    -

                    Purpose:

                    -

                    This position contributes to the overall success of the Global Risk Management’s AML/ATF team by ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                    -

                    -

                    Key Job Accountabilities:

                    -
                    • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                    • Develop and enhance statistical models in support of Scotiabank’s AML/ATF activity. Includes working on data acquisition, modeling, implementation and tuning strategies. Anticipated deliverables include models for transaction alert generation and alert prioritization. Will involve analyzing various alert metrics (eg, productive vs non-productive alerts, alerts per transaction) and optimizing solution configurations and parameters.
                    • Design, develop and evaluate statistical models in cases where models cannot be developed from existing data. Test and analyze thresholds, ranges and solution configurations to improve the effectiveness of monitoring and screening solutions.
                    • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                    • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                    • Champions a high performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team.
                    • -
                    -

                    -

                    Skills:

                    -
                    • Experience with statistical modeling and data science methods
                    • Experience programming in statistical languages such as Python/SQL or other. Experience with databases such as Oracle or SQL Server, as well as Hadoop, Hive, Spark, and Pandas queries. General programming or shell scripting a plus.
                    • Excellent interpersonal, communication (both oral and written), presentation/documentation and business writing skills. Experience with version control systems and workflows a plus.
                    • AML/ATF experience or analytic knowledge
                    • -
                    -

                    -

                    Education:

                    -
                    • Bachelor’s degree or higher in science, technology, engineering or mathematics
                    • -
                    -

                    -

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-AMLATF-Models-and-Analytics-Contract-ON-M5H1B6/568022617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-03-09T17:27:04.608Z,True,0,5,20,https://talenthub.vectorinstitute.ai/jobs/202114052-manager-aml-atf-models-and-analytics-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-AMLATF-Models-and-Analytics-Contract-ON-M5H1B6/568022617/,expired,2023-03-06T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -72b59655-8513-48d8-9395-b6a3b3f31728,200117732,TD Bank Group,Data Scientist III,on_site,"Toronto, ON",2023-02-27T17:24:02.451Z,"
                    -

                    Company Overview

                    -
                    -

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    -

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    -
                    -

                    -

                    Department Overview

                    -
                    -

                    What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                    -

                    As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                    -

                    TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                    -
                    -

                    -

                    Job Description

                    -
                    -

                    About this Role

                    -

                    For this role, we’re counting on your intensive technical leadership to forge our path moving forward. As an emissary of the crucial nature of data science, you’ll work in close proximity others across the bank to identify and pursue new opportunities wherever they lie. You’ll play a crucial role on cross functional teams of data scientists, data and IT engineers and business process owners to build out and implement world-class analytic solutions enterprise wide. You can handle just how much data TD has, and cannot wait to help build statistical models that scale to them.

                    -

                    We are looking for someone to help parse our vast data and identify needs and analytical trends employing industry leading techniques and theories to improve TD’s business practices enterprise wide.

                    -

                    As a Data Scientist III, these are the essential qualifications of this role:

                    -
                      -
                    • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core deliverables
                    • -
                    • Work closely with business owners to find opportunities and serve as an ambassador for data science
                    • -
                    • Design and deliver enterprise analytic solutions for customers
                    • -
                    • Develop powerful business insights from social, marketing and industrial data using advanced machine learning techniques
                    • -
                    • Build complex statistical models that learn from and scale to petabytes of data.
                    • -
                    • Analytical thought leadership and stay current on developments in data mining and the application of data science
                    • -
                    • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
                    • -
                    • Generally accountable for a significant business management area that typically has enterprise wide impact or accountability
                    • -
                    • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
                    • -
                    -
                    -

                    -

                    Requirements

                    -
                    -What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    -
                      -
                    • Undergraduate degree or technical certificate
                    • -
                    • Ten (10) or more years of relevant experience
                    • -
                    • Familiarity and experience with Optimization and Operations Research methodologies as applied in a commercial Marketing context
                    • -
                    • Familiarity and experience with MarTech tools and process and the activation of machine learning and analytical outputs within these tools
                    • -
                    -
                    -

                    -

                    Additional Information

                    -
                    -#LI-Hybrid #datascientist
                    -

                    -

                    Hours

                    -
                    37.5
                    -

                    -

                    Inclusiveness

                    -

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -

                    -
                    ",,https://jobs.td.com/en-CA/jobs/17017349/data-scientist-iii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-09T17:29:04.142Z,False,0,5,48,https://talenthub.vectorinstitute.ai/jobs/200117732-data-scientist-iii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17017349/data-scientist-iii-toronto-ca/,expired,2023-02-27T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, bd0ca23b-e2a3-4421-a508-b2f6b4643f01,196077289,Loblaw Companies Ltd,Platform Team Lead,on_site,"Ontario, Canada",2023-02-13T17:14:02.112Z,"

                    Referred applicants should not apply directly to this role.

                    All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                    @@ -236320,329 +243958,1116 @@ fbd07bd6-71c7-4a71-981a-72b03484ce47,198034023,TD Bank Group,Data Steward I,on_s

                    treasuryjobs

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Balance-Sheet-Management-Data-Analytics-ON-M5H1H1/567594917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-03-11T20:54:51.184Z,False,0,3,17,https://talenthub.vectorinstitute.ai/jobs/194552343-manager-balance-sheet-management-data-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Balance-Sheet-Management-Data-Analytics-ON-M5H1H1/567594917/,expired,2023-02-09T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -1f59ba0e-aa4e-4d1c-baa1-4722bd3ca8a7,208693671,Borealis AI,Machine Learning Researcher,on_site,"Ontario, Canada",2023-03-25T17:27:03.086Z,"
                    -
                    -

                    What\'s the opportunity?

                    -

                    As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                    -

                    Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                    -
                    -
                    -

                    Your responsibilities include:

                    -
                      -
                    • Developing novel AI solutions that facilitate impactful products;
                    • -
                    • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                    • -
                    • Working with the development team to transfer research work into production;
                    • -
                    • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                    • -
                    • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                    • -
                    +a97403ab-4e6b-47ec-84aa-8f0a7f0c3ce9,213971485,BMO Financial Group,"Manager, Audit Data Analytics Developer",on_site,"Ontario, Canada",2023-04-10T17:12:01.758Z,"
                    +

                    Application Deadline:

                    06/29/2023

                    +

                    +

                    Address:

                    55 Bloor Street West

                    +

                    +

                    Job Family Group:

                    Data Analytics & Reporting

                    +

                    +

                    +

                    +

                    Consults on and develop analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Supports the Audit function with analytics and automation of recurring analytics. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools. Banking/Financial service experience AND strong Python skill desired for this role.

                    +
                      +
                    • Acts as a trusted advisor to assigned business/group.
                    • +
                    • Leads the design, development, and implementation of analytic solutions.
                    • +
                    • Identifies emerging issues and trends to inform decision-making.
                    • +
                    • Recommends and implements solutions based on analysis of issues and implications for the business
                    • +
                    • Ensures alignment between stakeholders about business needs and data needs.
                    • +
                    • Ensures alignment between stakeholders about business needs and data needs.
                    • +
                    • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                    • +
                    • Designs, develops, and implements innovative analytical solutions.
                    • +
                    • Designs and produces regular and ad-hoc reports, and dashboards.
                    • +
                    • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                    • +
                    • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                    • +
                    • Cleanses, manipulates, and transforms data through programming / scripting for model training and validation.
                    • +
                    • Automates validation tests to improve quality and efficiency of the validation process.
                    • +
                    • Validates and tests models used in analytics and reporting to assess/address performance and compliance.
                    • +
                    • Conducts various pre-implementation and post-implementation analyses to estimate/measure business impact caused by model adoption (e.g., revenue increase, cost reduction, corporate brand image).
                    • +
                    • Promotes reporting automation, self-serve analytics consumption, and the culture of analytics-driven decision making.
                    • +
                    • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                    • +
                    • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                    • +
                    • Designs, develops, and implements innovative analytical solutions.
                    • +
                    • Designs and produces regular and ad-hoc reports, and dashboards.
                    • +
                    • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                    • +
                    • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • +
                    • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                    • +
                    • Analyzes data and information to provide subject-matter insights and recommendations.
                    • +
                    • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                    • +
                    • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                    • +
                    • Builds effective relationships with internal/external stakeholders.
                    • +
                    • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                    • +
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                    • +
                    • Provides specialized consulting, analytical and technical support.
                    • +
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • +
                    • Works independently and regularly handles non-routine situations.
                    • +
                    • Broader work or accountabilities may be assigned as needed.
                    • +
                    +

                    Qualifications:

                    +
                      +
                    • 3-7 years of relevant experience and post-secondary degree in Commerce / Engineering / Computer Science or related field of study or an equivalent combination of education and experience.
                    • +
                    • Knowledge and experience in data processing , data analysis, data analytics, statistical tool sets and/or software/web/automation development including but not limited to SQL, Python, SAS, Power BI, Spotfire, Tableau, AWS, Hadoop, Netezza and SQL Server - In-depth.
                    • +
                    • Deep knowledge and technical proficiency gained through extensive education and business experience.
                    • +
                    • Verbal & written communication skills - In-depth.
                    • +
                    • Collaboration & team skills - In-depth.
                    • +
                    • Analytical and problem solving skills - In-depth.
                    • +
                    • Influence skills - In-depth.
                    • +
                    • Data driven decision making - In-depth.
                    • +
                    +

                    +

                    +

                    We’re here to help

                    +

                    +

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    +

                    +

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    +

                    +

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    +

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    +

                    +

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Audit-Data-Analytics-Developer_R230006521?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-05-10T18:47:52.225Z,False,0,4,10,https://talenthub.vectorinstitute.ai/jobs/213971485-manager-audit-data-analytics-developer-at-bmo-financial-group,,expired,2023-04-10T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +322ccd2b-6c78-49c1-98fc-f609fd410822,222285659,BMO Financial Group,"Senior Analyst, Quantitative Analysis and Strategy",on_site,"Ontario, Canada",2023-05-04T17:12:01.669Z,"
                    +

                    Application Deadline:

                    05/11/2023

                    +

                    +

                    Address:

                    100 King Street West

                    +

                    +

                    Job Family Group:

                    Data Analytics & Reporting

                    +

                    +

                    +

                    +

                    Applies knowledge of advanced analytic algorithms and technologies to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups.

                    +
                      +
                    • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • +
                    • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                    • +
                    • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
                    • +
                    • Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
                    • +
                    • Applies scripting / programming skills to assemble various types of source data into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                    • +
                    • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., Analytical solutions, mathematical models, algorithms, machine learning, deep learning) to test, verify, refine hypotheses.
                    • +
                    • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                    • +
                    • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                    • +
                    • Performs experimental design approaches to validate finding or test hypotheses.
                    • +
                    • Uses the appropriate algorithms to discover patterns.
                    • +
                    • Builds effective relationships with internal/external stakeholders and ensures alignment.
                    • +
                    • Supports development of tools and delivers training for data analytics and AI.
                    • +
                    • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • +
                    • Leads/participates in the design, implementation and management of core business/group processes.
                    • +
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                    • +
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • +
                    • Works independently on a range of complex tasks, which may include unique situations.
                    • +
                    • Broader work or accountabilities may be assigned as needed.
                    • +
                    +

                    Qualifications:

                    +
                      +
                    • Post-secondary degree in related field of study is preferred.
                    • +
                    • Knowledge of visualization techniques and concepts (e.g. PowerBI, Tableau).
                    • +
                    • Experience with programming languages (e.g. SQL, Python, SAS) and machine learning /deep learning algorithms/packages.
                    • +
                    • Experience in statistical analysis, data mining, and data cleansing / transformation.
                    • +
                    • Technical proficiency gained through education and/or business experience.
                    • +
                    • Verbal & written communication skills - In-depth.
                    • +
                    • Collaboration & team skills - In-depth.
                    • +
                    • Analytical and problem solving skills - In-depth.
                    • +
                    • Influence skills - In-depth.
                    • +
                    • Data driven decision making - In-depth.
                    • +
                    +

                    +

                    Additional Job Description

                    +

                    +

                    The Quantitative Analysis and Strategy (QAS) team works closely with our partners within Corporate Treasury i.e. Structural Market Risk, Liquidity & Funding and Portfolio Management teams, and our Lines of Business partners across the bank. The team works to identify and quantify risks and opportunities through analyzing and modeling origination, utilization, prepayment behavior, pricing sensitivities, market size and revenue opportunities. The analysis and modeling work in the areas of mortgage, home equity, C&I and CRE loans, consumer & commercial deposits, various securities including MBS, ABS, Muni bonds, etc. are instrumental in pricing, valuation, interest rate risk measurement and hedging, balance sheet management and optimization strategies.

                    +

                    +

                    The Senior Analyst, Quantitative Analysis and Strategy in Corporate Treasury is ideal for one who wants to work on developing, enhancing, implementing and maintaining quantitative models and analytics suites. They would do so by using conventional econometric and machine learning techniques, for the purposes of asset liability and interest rate risk management, customer analytics, profitability, and stress testing under various macro-economic scenarios. This involves analyzing large account-level and transaction-level data, articulating the problem statement, and specifying the most appropriate quantitative solution.

                    +

                    +

                    New grads with demonstrable problem solving and critical thinking skills will be considered.

                    +

                    +

                    +

                    We’re here to help

                    +

                    +

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    +

                    +

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    +

                    +

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    +

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    +

                    +

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Analyst--Quantitative-Analysis-and-Strategy_R230005853?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-05-08T20:37:00.000Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/222285659-senior-analyst-quantitative-analysis-and-strategy-at-bmo-financial-group,,expired,2023-05-04T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +73c9e255-b4b8-49f8-ad8e-818f7f936cbb,237622615,Scotiabank,"Manager, IFRS 9 Modelling & Analytics, Enterprise Stress Testing (12 Month Contract)",on_site,Canada : Ontario : Toronto,2023-06-19T15:52:03.239Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 177522

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    Purpose of Job:

                    +

                    +

                    As Manager, IFRS 9 Modelling & Analytics, Enterprise Stress Testing, you will contribute to the overall success of IFRS 9 credit risk modelling, analytics, and reporting for retail and small business portfolios. You will ensure specific individual goals, plans, and initiatives are executed / delivered in support of the team’s business strategies and objectives. You will also ensure all activities conducted are in compliance with governing regulations, internal policies, and procedures.

                    +

                    +

                    You will report directly to a Senior Manager or Director and be a critical member of the team overseeing the forward-looking probability of default (PD) and loss given default (LGD) models used to estimate credit risk for retail and small business lending products. With access to a modern machine learning stack that includes open-source development environments, you will assist in model development, implementation, and maintenance as we develop new methodology and models to replace the current suite. You will collaborate, on a regular basis, with a wide range of stakeholders and internal/external partners including Model Validation and Approval, Retail Provisions, Compliance, and Audit.

                    +

                    +

                    Job Responsibilities:

                    +

                    +

                    Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge
                    • Develops credit risk models for the retail and small business portfolios that predict probability of default or loss given default for IFRS 9 provisioning and financial reporting
                    • Documents all models and processes developed and works with the model validation team to ensure timely and satisfactory validation
                    • Supports the integration of new models into IFRS 9 and Enterprise-Wide Stress Testing analytics and reporting processes
                    • Works with stakeholders and technology partners to implement and test the models in user acceptance testing and production environments
                    • Understands how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions
                    • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct

                    +

                    Job Requirements:

                    +

                    +

                    • Advanced degree in Economics, Finance, Statistics, Mathematics, Physics, Engineering or other related quantitative discipline
                    • Predictive modelling or machine learning, statistical, and programming skills gained through work experience, a graduate degree, or other advanced training in a quantitative discipline
                    • Experience with Python or R including data processing with pandas or dplyr
                    • Excellent communication skills and the ability to communicate with stakeholders across a wide variety of functions, including the ability to clearly summarize and display data
                    • The candidate must demonstrate the ability to quickly grasp and embrace new concepts and technologies
                    • Experience with Linux or UNIX systems and version control software such as Git is required

                    +

                    +

                    Nice To Have:

                    +

                    • Domain expertise in retail credit risk and IFRS 9
                    • Experience with pyspark or sparklyr for data wrangling
                    • Experience with matplotlib, plotly, seaborn, or ggplot2 for data visualization
                    • Power user of Microsoft Office (Excel, Word, PowerPoint)

                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Manager%2C-IFRS-9-Modelling-&-Analytics%2C-Enterprise-Stress-Testing-%2812-Month-Contract%29/570065217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-03T15:57:04.998Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/237622615-manager-ifrs-9-modelling-analytics-enterprise-stress-testing-12-month-contract-at-scotiabank,https://jobs.scotiabank.com/job/Manager%2C-IFRS-9-Modelling-&-Analytics%2C-Enterprise-Stress-Testing-%2812-Month-Contract%29/570065217/,expired,2023-06-19T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, +25d1f8b1-6e52-48ac-b066-ff1235517ecc,239939839,CIBC,"Sr. Consultant, Application Development",on_site,"Ontario, Canada",2023-06-27T01:41:05.340Z,"
                    +

                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                    +

                    +

                    At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                    +

                    +

                    To learn more about CIBC, please visit CIBC.com

                    +

                    +

                    Job Description

                    +

                    +

                    What you\'ll be doing

                    +

                    You’ll be joining CIBC’s CIBC Asset Management (CAM) Technology Group within Wealth Management Technology. You’ll be at the heart of CIBC’s digital transformation, successfully delivering complex, enterprise-scale Azure projects involving multiple back-end systems. As an Senior Application Development Consultant, you will design, build, implement and maintain easy, flexible, agile solutions that enhance the client experience across multiple technologies including cloud. You’ll be part of the planning and strategy for the technical design, development and integration of these applications. The successful candidate for this role will be required to provide support after hours/weekends. This role will function in a hybrid work environment.

                    +

                    +

                    How you\'ll succeed

                    +
                      +
                    • +Design and development - Perform and coordinate complicated application programming activities. Lead the design and development of cost-effective and innovative solutions
                    • +
                    • +Strategic planning - Develop multi-year technology roadmaps that align with the bank’s vision, strategy, and business goals. Lead multiple complicated projects involving backend systems, new technology, and the enhancement of existing applications.
                    • +
                    • +Leadership skills - Act as the development team lead and run code-review sessions with the wider team to ensure the project is on track to meet goals. Support and mentor intermediate and senior developers by sharing knowledge, collaborating and problem solving.
                    • +
                    +

                    +

                    Who you are

                    +
                      +
                    • +You embrace and advocate change. You\'ll continuously evolve your thinking and the way you work in order to deliver your best.
                    • +
                    • +Your influence makes a difference. You know that relationships and networks are essential to success. You inspire outcomes by sharing your expertise.
                    • +
                    • +You’re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
                    • +
                    • +You\'re motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.
                    • +
                    • +You can demonstrate experience in: Technical skills and experiences including: Azure Synapse architect design with DB objects and data security setup
                    • +
                    • Azure Synapse SQL development. Azure Data Factory
                    • +
                    • Azure App service plan – API and Web apps
                    • +
                    • C#.net API/Web app development and Azure DevOps
                    • +
                    • Modeling data for user consumption with UI tools such as Power BI
                    • +
                    • Ability to coach Azure developers
                    • +
                    • Proven experience on design and deploy data platforms within the Cloud adoption framework for data landing zones.
                    • +
                    • Perform requirements analysis, design, and prototyping for data solutions.
                    • +
                    • Provide oversight and guidance to platform, data, BI and development team.
                    • +
                    • Development, review, and revision of best practices for technical implementation and development and communication to supporting delivery resources.
                    • +
                    • Familiarity with DevOps tools like Azure DevOps and Business Intelligence tools such as Power BI, Tableau .
                    • +
                    • Communicate efficiently and with deep technical knowledge regarding concepts and best practices of the end-to-end data platform and architecture.
                    • +
                    • 8+ years of relevant professional technology experience.5+ years of experience in a data transformation language like SQL.
                    • +
                    • 5+ years of working experience with SQL Server, data warehousing and data analytics projects and 3+ years developing, deploying, and testing data platforms in Azure or other cloud provider.
                    • +
                    • 2+ years of experience with version control and DevOps. 1+ years infrastructure as code development on Azure (ARM, Bicep, Blueprints).
                    • +
                    • Minimum of a Bachelor’s degree in Computer Science, Computer Engineering, Software Design, Software Engineering, or a related field, or equivalent alternative education, skills, and/or practical experience. +
                    • +
                    • +Nice to have: MS Certified: Data Engineering Associate /MS Certified: Azure Solutions Architect Expert
                    • +
                    • +Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.
                    • +
                    +

                    +

                    What CIBC offers

                    +

                    At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                    +
                      +
                    • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program
                    • +
                    • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients
                    • +
                    • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.
                    • +
                    +

                    +

                    What you need to know

                    +
                      +
                    • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                    • +
                    • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                    • +
                    +

                    +

                    +

                    +

                    +

                    +

                    Job Location

                    CIBC Square Banking Centre

                    Employment Type

                    Regular

                    +

                    Weekly Hours

                    37.5

                    Skills

                    +

                    Azure App Service, Azure Cloud Services, Azure ExpressRoute, Azure Kubernetes Service (AKS), Azure Policy, Azure Storage, Functional Designs, Microsoft Azure, Microsoft Azure Databases Administration, Microsoft Azure Databricks, Microsoft Azure Data Lake Store, Microsoft Azure DevOps Artifacts, Microsoft Azure DevOps Boards, Microsoft Azure DevOps Repos, Microsoft Azure DevOps Test Plans, Microsoft Azure Functions, Microsoft Azure Load Balancer, Microsoft Azure Portal, Microsoft Azure Security, Microsoft Azure Synapse Analytics, Solutions Development
                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Consultant--Application-Development_2238606?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-07-04T17:37:00.000Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/239939839-sr-consultant-application-development-at-cibc,,expired,2023-06-27T01:41:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +edd2dfe3-a4a4-4bf5-83f7-63bd26738955,210223731,TELUS,Senior Software Developer,on_site,"Ontario, Canada",2023-03-30T17:42:04.733Z,"
                    +
                    +

                    Description

                    +
                    +

                    Join our team

                    +

                    +

                    Become part of a future friendly national team, one that embraces change and initiates opportunity, has a passion for growth, believes in spirited teamwork, and has the courage to innovate. Our success is based as much on your dedication and hard work as it is on the innovative television, internet, voice, data and wireless products and solutions we offer.

                    +

                    +

                    Here’s the impact you’ll make and what we’ll accomplish together

                    +

                    +

                    As part of our Smart Cities and Home Services team, you will imagine, create, support and test innovative smart cities and live streaming services for TELUS. This is an opportunity for you to develop solutions and designs for streaming video while providing our customers with the best video streaming experiences. We’re stretching the boundaries of what is possible, and supporting and enabling local communities to expand their audiences.

                    +

                    +

                    Here\'s how

                    +

                    +
                      +
                    • Provide leadership and architectural support for CI/CD pipeline and software development practices for a small team of developers
                    • +
                    • Create, test, and support new systems and services that you help create, operating in a dev-ops team.
                    • +
                    • Bring familiarity with building and using containers and other cloud-native tools
                    • +
                    • Develop new architectures and technologies to deliver the best viewing experience for our customers.
                    • +
                    • Develop and maintain technical documentation and architecture
                    • +
                    • Apply best practices of software development in different frameworks and troubleshoot integration issues
                    • +
                    • Automate service testing to ensure reliable and repeatable results.
                    • +
                    • Ensure a high level of code quality and integrity in software development projects
                    • +
                    • Work with Project Managers and Network Planners to ensure the successful delivery of projects
                    • +
                    • An understanding of the importance of automation and continuous integration and deployment
                    • +
                    -
                    -

                    You’re our ideal candidate if you have:

                    -
                      -
                    • A passion for solving open problems using data and algorithms;
                    • -
                    • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                    • -
                    • Ability to formulate and drive a research project independently without close supervision;
                    • -
                    • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                    • -
                    -
                    -

                    What’s in it for you?

                    -
                    +
                    +

                    Qualifications

                    +
                    +


                    What you bring

                    +

                      -
                    • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                    • -
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                    • -
                    • Leaders who support your development through coaching and managing opportunities;
                    • -
                    • Ability to make a difference and lasting impact from a local-to-global scale.
                    • +
                    • 5+ years of software development experience utilizing CI/CD practices and agile methodologies
                    • +
                    • Extensive experience with cloud-native tools and cloud environments (GCP and AWS)
                    • +
                    • Capable of mentoring developers and sharing your knowledge
                    • +
                    • Strong troubleshooting methodology
                    • +
                    • An interest in video streaming technologies
                    • +
                    • Insatiable curiosity for problem solving, technology and innovation
                    • +
                    • Desire to learn and take on new challenges
                    • +
                    • Ability to collaborate with diverse groups and technical teams
                    • +
                    • Strong verbal and written communication skills
                    • +
                    • Having a creative approach to problem solving and an ability to work independently in an environment with high levels of ambiguity
                    • +
                    • Ability to manage key deliverables as part of an extended project team
                    • +
                    • Excellent interpersonal skills, talented at developing and fostering positive relationships with other team members
                    • +
                    • Bachelors in Computer Science, Engineering or related discipline
                    -

                    About Borealis AI

                    +

                    +

                    Great-to-haves

                    +

                    +
                      +
                    • Python, Java, C#
                    • +
                    • MySQL, MongoDB or equivalent databases
                    • +
                    • Docker, Kubernetes, Istio, Ansible
                    • +
                    • GitHub, AzureDevops, BitBucket, or equivalent source control repositories
                    • +
                    • Github Workflows, ArgoCD, Google CloudBuild, Helm or equivalent CI-CD pipeline tools
                    • +
                    • Adaptive bitrate streaming including HLS, DASH, and CDN technologies
                    • +
                    • Video analytics powered by machine learning technologies
                    • +
                    +

                    FFHJOBS

                    -

                    Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                    -

                    Inclusion and Equal Opportunity Employment

                    -

                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                    -
                    ",,https://www.borealisai.com/careers/?gh_jid=6645277002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-04-26T18:12:14.856Z,False,0,13,84,https://talenthub.vectorinstitute.ai/jobs/208693671-machine-learning-researcher-at-borealis-ai,,expired,2023-03-25T17:27:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, -e09c3c61-f60f-40dc-93c9-ffe79be68be9,209227171,Layer 6,Machine Learning Product Engineer,on_site,"Toronto, ON, Canada",2023-03-27T19:50:48.998Z,"

                    -

                    Machine Learning Product Engineer

                    -

                    Develops and maintains technical solutions that adhere to engineering and architectural design principles while meeting business requirements. Provides technical expertise with a focus on efficiency, reliability, scalability, and security; includes planning, evaluating, recommending, designing, operationalizing, and supporting solutions in compliance with enterprise and industry standards.

                    -

                    Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform.

                    -

                    Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 – Visual Relationship (winner in 2019).

                    +
                    ",,https://careers.telus.com/job/Edmonton-Senior-Software-Developer-AB/568066617/,feed-importer@jobboard.io,,,,2023-04-29T19:31:52.720Z,False,0,2,8,https://talenthub.vectorinstitute.ai/jobs/210223731-senior-software-developer-at-telus,,expired,2023-03-30T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, +cecf7af6-f5c7-4a3b-a3d3-dd88a4b1b9ba,210221126,TD Bank Group,Senior Business Insights Analyst,on_site,"Markham, ON",2023-03-30T17:24:04.463Z,"
                    +

                    Company Overview

                    +
                    +

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    +

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    +
                    +

                    +

                    Department Overview

                    +
                    +

                    What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                    +

                    We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                    +
                    +

                    +

                    Job Description

                    +
                    +

                    +

                    About this Role

                    +

                    As an expert in data and analytics, you will provide in depth expertise, analytical interpretation, key insights and action items to your multi-functional business partners across the organization. Those insights will be brought to bear to enable informed and enabled business decisions enterprise wide or help to solve the increasingly complex business problems they face.

                    +

                    In this role, TD will look to as a thought leadership as well as a leader in your space, coaching, mentoring, empowering and educating your peers to collaborate and bring TD into the future of banking.

                    +

                    +

                    As a Senior Business Insights Analyst, you will:

                    +
                      +
                    • Apply understanding of respective business strategies to produce relevant and substantial data analysis to support business goals and objectives
                    • +
                    • Develop analysis to illustrate business trends and identify areas of business opportunities
                    • +
                    • Produce insights and recommend business actions to align with strategy and/or solve business problems
                    • +
                    • Provide seasoned specialized knowledge, advice and/or mentorship to various business and working partners
                    • +
                    • Execute on data requests accurately and within a timely manner
                    • +
                    • Represent functional area as an analytics & insights professional and key resource; build positive and productive working partnerships
                    • +
                    • Act as a bridge to translate business requirements to analytics and reporting needs for a given domain
                    • +
                    • Provides day-to-day support and delivery of analytics
                    • +
                    • Work independently as the senior analyst/subject matter expert and may coach and educate others
                    • +
                    • Considered an authority within a given area
                    • +
                    • Oversee and/or independently perform tasks from end to end
                    • +
                    +
                    +

                    +

                    Requirements

                    +
                    +What can you bring to TD?

                    +

                    Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    +
                      +
                    • Undergraduate degree or technical certificate
                    • +
                    • Five (5) or more years relevant experience
                    • +
                    • SQL coding experience is mandatory, Python is preferred
                    • +
                    +
                    +

                    +

                    Additional Information

                    +
                    #tdcybersecurity #LI-Post
                    +

                    +

                    Hours

                    +
                    37.5
                    +

                    +

                    Inclusiveness

                    +

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    +

                    +
                    ",,https://jobs.td.com/en-CA/jobs/18036300/senior-business-insights-analyst-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-29T19:18:00.746Z,False,0,2,12,https://talenthub.vectorinstitute.ai/jobs/210221126-senior-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18036300/senior-business-insights-analyst-markham-ca/,expired,2023-03-30T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +0fc443c9-dd52-41e4-bf93-b3f514e2fe66,213974934,OMERS,"Director, Data & Analytics Delivery",on_site,"Ontario, Canada",2023-04-10T17:42:03.093Z,"
                    +

                    +

                    +

                    Vision and Core Values

                    +

                    OMERS overall vision is to play a leadership role in the pension industry and be first of class, deliver superior services and to grow and attract investment partners. The core values are to be fair, have high integrity, respect for each other, provide superior service and work as a team.

                    +

                    The Corporate Objectives for OMERS is to provide secure pensions for all their constituents by:

                    +
                      +
                    • Investing to earn outstanding returns with due regard for risk

                    • +
                    • Partnering with like-minded investment managers

                    • +
                    • Providing high quality service to our members and employers

                    • +
                    • Delivering value for money

                    • +
                    • Building a culture of excellence and pride in OMERS

                    • +

                    -

                    Job Description:

                    -

                    Develops and maintains technical solutions that adhere to engineering and architectural design principles while meeting business requirements. Provides technical expertise with a focus on efficiency, reliability, scalability, and security; includes planning, evaluating, recommending, designing, operationalizing, and supporting solutions in compliance with enterprise and industry standards.

                    -

                    Customer Accountabilities:

                    +

                    OMERS Operating Principles are: Financial Strength, Accountability, Member Focus, Talent and Reporting.

                    +

                    +

                    Value Proposition

                    +

                    The Capital Markets Finance team is on a dynamic and dramatic change journey. This is an opportunity to join us as we design and lead a digital transformation in Finance. Success in this role will enable our Capital Markets, Total Portfolio Management Risk and Corporate Finance partners to deliver their goals – all in service of OMERS members. The Capital Markets Finance team is just beginning our transformation, and the selected leader will be a key member of the team, working with our partners to understand their needs and deliver outcomes, with momentum and excellence. We see in this role significant future potential, in a global, sophisticated, and complex enterprise.

                    +

                    +

                    Scope of Position

                    +

                    Reporting to the VP, Finance Data, Capital Markets, the Director, Finance (?) Data & Analytics Delivery leads a team of business system analysts and technical analysts who support and deliver finance data and analytics from mission-critical investment systems (Calypso, Eagle PACE) and other data providers to empower end users.

                    +

                    +

                    This leader will drive strategic initiatives that will enhance the capital markets finance data & analytics capabilities at OMERS, and will be required to have a deep understanding of modern trends in data management, data architecture, data modeling, data cataloging, cloud infrastructure, and utilities, through continuous learning and industry engagement.

                    +

                    +

                    Responsibilities:

                      -
                    • Leverage deep technology expertise for own area of specialization to deliver and ensure that all areas across the organization that provision, manage and support various technologies have the necessary tools, processes and documentation required to effectively execute on their respective mandates
                    • -
                    • Execute on Engineering strategy as it relates to the introduction of tools and the automation of build, test, release and configure activities across Application, Platform and Infrastructure
                    • -
                    • Partner with the Operations team to automatically integrate with appropriate tools and processes as part of automated/self-serve Application, Platform or Infrastructure releases
                    • -
                    • Work with partners across Technology and apply in-depth understanding of relevant business needs to identify and leverage synergies across the various areas
                    • -
                    • Act as the expert or lead innovator and agent of change for the programs and services under management
                    • -
                    • Work with other teams to implement best practices for engineering and management
                    • -
                    • Work with vendor platform providers and engineering peers to keep abreast of trends, products, frameworks, and applications
                    • -
                    • Identify and effectively manage stakeholder engagement and impacts across the enterprise
                    • -
                    • Interpret client needs, assess engineering related requirements and identify solutions to non-standard requests
                    • +
                    • Lead a team of analysts and managers with vision, clarity, and technical expertise, providing relevant coaching for professional development.

                    • +
                    • Lead the execution of transformation initiatives to modernize OMERS’ finance data and analytics delivery in support of Capital Markets, TPM and Risk

                    • +
                    • Partner with Capital Markets Finance and data & technology experts across OMERS to deliver data and analytics to end users in Capital Markets, TPM and Risk

                    • +
                    • Manage the daily process and delivery of custom analytics to end users in partnership with the Capital Markets Finance reporting team

                    • +
                    • Manage the daily process and integration of the investment book of record into OMERS’ enterprise risk system in partnership with the Risk Technology team

                    • +
                    • Ensure the timely and accurate delivery of investment data to data marts and end users

                    • +
                    • Develop and institute solution design principles that are forward-thinking; optimize for efficacy, sustainability, and time to market.

                    • +
                    • Use metrics and feedback to improve organizational processes, implement best practices, and enhance performance, creating a culture of excellence and continuous improvement.

                    • +
                    • Mature change delivery processes and drive a transformation to Agile and DevOps.

                    • +
                    • Develop product strategies and roadmaps

                    • +
                    • Track and report on product roadmaps, completed work, capacity, backlog, KPIs, etc.

                    • +
                    • Document and maintain key processes and controls, for training, continuity, and audit purposes.

                    • +
                    • Develop relationships among partners by supporting a culture of transparency, collaboration, and service excellence.

                    • +
                    • Influence and represent the broader team’s leadership, to accomplish collective wins.

                    -

                    Shareholder Accountabilities:

                    +

                    +

                    Qualifications:

                      -
                    • Apply best practices and knowledge of internal / external business issues to improve products or services in own discipline
                    • -
                    • Monitor and control costs within own work
                    • -
                    • May interact with governance and control groups, (e.g. regulatory / operational risk, compliance and audit) to provide subject matter expertise and consult on risk issues / items related to Engineering technology and tools
                    • -
                    • May develop and/or contribute to negotiations of third party contracts/agreements
                    • -
                    • Maintain knowledge and understanding of external development, engineering and emerging solutions, market conditions and their impact
                    • -
                    • Proactively identify emerging technologies and innovative solutions for building more robust platform domains
                    • -
                    • The Machine Learning Product Engineer team at Layer 6 focuses on building industry-leading data-centric systems and model delivery systems. Our solutions include data pipelines, feature data lake, systemic data validation and automation of key activities in model delivery including model validation, shakedown, inference, and maintenance.
                    • -
                    • We are looking for experienced Machine Learning Product Engineers (MLPE) who have worked under tight deadlines and on challenging tasks. The ideal candidate is a strong coder with solid data engineering experience. They should also have expertise in machine learning, system design and devops.
                    • -
                    • The candidate will design and implement components of data and model delivery system and lead by example. The candidate will interact with machine learning scientists, the infrastructure team and data sources team to develop systems that will satisfy the needs of machine learning projects.
                    • -
                    • Implement complex data-centric solutions, including extremely complex and large data set verification, transformation and feature generation, to ensure continuous high-quality input for the model development
                    • -
                    • Build model delivery systems, including inference pipeline, automatic model validation reports generation, automatic model performance monitoring and model retraining, to ensure fast model productionization and reliable production system
                    • -
                    • Maintain the model in production and ensure the data/model related knowledge continuation within L6
                    • +
                    • Minimum 9 years experience in data management and analytics roles managing data warehouse platforms or data products, including production support, change initiatives and/or large transformation programs in the Financial Services industry

                    • +
                    • Minimum of 5 years experience leading, managing and coaching a team with diverse skills and backgrounds, with a demonstrated history of contributing to their development and success

                    • +
                    • Expert knowledge of data modeling techniques e.g. Kimball

                    • +
                    • Experienced building robust data models in Power BI

                    • +
                    • Expert knowledge of ETL/ELT tools and design patterns that incorporate data quality

                    • +
                    • Strong experience working with investment data and applications, including but not limited to trading, investment accounting, data warehouses, investment risk, performance, reference data and custom investment analytics

                    • +
                    • Bachelor’s or Master’s Degree in a related field such as Computer Science, Engineering, Mathematics, Accounting, or Finance

                    • +
                    • Hands-on experience delivering complex data assets and a proven ability to manage multiple projects

                    • +
                    • Experience with the Azure cloud platform and/or Snowflake are nice to have

                    • +
                    • Experience in data governance

                    • +
                    • Excellence in all types of communication and facilitation with colleagues at all levels

                    • +
                    • Self-motivated with strong, proven, analytical and problem-solving skills

                    • +
                    • Commitment to standards of professionalism, internal controls and compliance

                    -

                    Job Requirements:

                    -

                    Employee/Team Accountabilities:

                    +

                    And you demonstrate:

                      -
                    • Continuously enhance knowledge/expertise in own area and keep current with emerging industry trends, new technologies and best practices in the external market that can contribute to delivering effective client solutions
                    • -
                    • Prioritize and manage own workload in order to deliver quality results and meet timelines
                    • -
                    • Support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest
                    • -
                    • Participate in knowledge transfer with senior management, the team, other technical areas and business units
                    • -
                    • Work effectively as a team, supporting other members of the team in achieving business objectives and providing client services
                    • -
                    • Identify and recommend opportunities to enhance productivity, effectiveness and operational efficiency of the business unit and/or team
                    • +
                    • High standards of business and ethical values including the ability to deal with confidential information

                    • +
                    • A people-first focus with a desire to develop meaningful, positive relationships across all levels of the organization

                    • +
                    • A teammate mentality coupled with servant leadership

                    • +
                    • A sense of urgency, optimism, and a desire to deliver excellence

                    • +
                    • An uncompromising focus on outcomes

                    • +
                    • A desire to drive debate, to speak candidly and to listen empathetically; and

                    • +
                    • Strong orientation towards strategy, change and results

                    • +
                    • A continuous improvement mindset

                    • +
                    • A passion for delivering “beautiful work”

                    -

                    Breadth and Depth:

                    +

                    +

                    #LI-Hybrid

                    +

                    +

                    +

                    +

                    +

                    +

                    Our story:

                    +

                    Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                    +

                    +

                    OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                    +
                    ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Director--Data---Analytics-Delivery_JR-4817?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-05-01T17:47:02.896Z,False,0,5,19,https://talenthub.vectorinstitute.ai/jobs/213974934-director-data-analytics-delivery-at-omers,,expired,2023-04-10T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, +ff715a86-32b3-4a0c-881f-21c30ce5fbcb,217072591,BMO Financial Group,"Data and Reporting Analyst, 1 year Term Employment",on_site,"Ontario, Canada",2023-04-20T17:12:02.917Z,"
                    +

                    Application Deadline:

                    04/29/2023

                    +

                    +

                    Address:

                    100 King Street West

                    +

                    +

                    Job Family Group:

                    Data Analytics & Reporting

                    +

                    +

                    +

                    +

                    Build data visualizations using Power BI based on requirements gathered. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, and dashboard reporting.

                      -
                    • Expert knowledge of specific domain or range of engineering frameworks, technology, tools, processes and procedures, as well as organization issues
                    • -
                    • Expert knowledge of TD applications, systems, networks, innovation, design activities, best practices, business / organization, Bank standards, and may fulfill a governance role
                    • -
                    • Expert knowledge and experience in own discipline; integrates knowledge of business and functional priorities
                    • -
                    • Acts as a key contributor in a complex and critical environment
                    • -
                    • May provide leadership to teams or projects; shares expertise
                    • -
                    • Applies in-depth skills and broad knowledge of the business to address complex problems and non-standard situations
                    • -
                    • Generally reports to a Senior Manager or above
                    • +
                    • Builds effective relationships with internal/external stakeholders.
                    • +
                    • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                    • +
                    • Designs, develops, and implements innovative analytical solutions.
                    • +
                    • Designs and produces regular and ad-hoc reports, and dashboards.
                    • +
                    • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                    • +
                    • Structures and assembles data into multi-dimensions with various granularities
                    • +
                    • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                    • +
                    • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                    • +
                    • Designs, develops, and implements innovative analytical solutions.
                    • +
                    • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                    • +
                    • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • +
                    • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                    • +
                    • Analyzes data and information to provide subject-matter insights and recommendations.
                    • +
                    • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                    • +
                    • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                    • +
                    • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                    • +
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                    • +
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • +
                    • Works independently on a range of complex tasks, which may include unique situations.
                    • +
                    • Broader work or accountabilities may be assigned as needed.
                    -

                    Experience and/or Education:

                    +


                    Qualifications:

                      -
                    • University or post-graduate degree
                    • -
                    • Strong academic background (e.g., computer science, engineering)
                    • -
                    • 7 + years relevant experience
                    • +
                    • Typically between 1 - 3 years of relevant experience or an equivalent combination of education and experience.
                    • +
                    • Knowledge and experience in data preparation, data analysis specifically Power BI
                    • +
                    • Advanced Excel skills
                    • +
                    • VBA skills
                    • +
                    • DAX Functions and Power Query
                    • +
                    • Technical proficiency gained through education and/or business experience.
                    • +
                    • Verbal & written communication skills - In-depth.
                    • +
                    • Collaboration & team skills - In-depth.
                    • +
                    • Analytical and problem solving skills - In-depth.
                    • +
                    • Influence skills - In-depth.
                    • +
                    • Data driven decision making - In-depth.
                    • +
                    +

                    +

                    +

                    We’re here to help

                    +

                    +

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    +

                    +

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    +

                    +

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    +

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    +

                    +

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Data-and-Reporting-Analyst--1-year-contract--New-Grad-Immediate-start_R230003637?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-05-01T17:17:05.214Z,False,0,7,17,https://talenthub.vectorinstitute.ai/jobs/217072591-data-and-reporting-analyst-1-year-term-employment-at-bmo-financial-group,,expired,2023-04-20T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,No Degree,New Posting, +4d4f5296-24b3-4455-90cd-0c7612db6443,211701369,Loblaw Companies Ltd,Data Analyst,on_site,"Ontario, Canada",2023-04-03T17:14:02.216Z,"
                    +

                    Referred applicants should not apply directly to this role.

                    +

                    All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                    +

                    +

                    +

                    Location:

                    500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

                    +

                    When you hire great people, great things can happen.

                    +

                    PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

                    +

                    +

                    Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

                    +

                    +

                    Please note: this posting is to pipeline for future needs

                    +

                    +

                    Why This Role is Important

                    +

                    The objective of our Payment Decision Support team is to provide reporting and analytics services to allow PC Financial to capitalize on diverse sources of data to improve the understanding of customer behaviors to drive profitability and improve customer experience. This role will deliver accurate, easy-to-use and timely data and reporting solutions to enable evidence-based decisions across the enterprise.

                    +

                    +

                    What You\'ll Do

                    +
                      +
                    • Code using SQL, SAS, and Python, in SAS and Google Cloud platforms.
                    • +
                    • Build and productionize business critical data processes
                    • +
                    • Optimize and automate data solutions
                    • +
                    • Build data marts and Tableau/Excel reports
                    • +
                    • Follow and implement data standards, guidelines on data ownership, coding structures
                    • +
                    • Monitor data quality and identify, investigate, and resolve data discrepancies
                    • +
                    • Interact with partners at various levels to deliver data solutions, identify use-cases around data and data processes
                    • +
                    • Closely adhere to legal guidelines regarding working with critical and confidential information
                    • +
                    +

                    +

                    What You\'ll Need

                    +
                      +
                    • 1-2 years of experience in a data analytics role, preferably in financial services/banking domain
                    • +
                    • University degree in Business/Commerce, Computer Science/Engineering/Analytics +
                    • +
                    • Solid understanding of Python and Cloud technology. Experience with GCP (Google Cloud Platform) is a bonus.
                    • +
                    • Understanding of data warehouse and data mart concepts
                    • +
                    • Working knowledge of relational databases and SQL data extraction and manipulation tools
                    • +
                    • Experience in SAS and BI tools.
                    • +
                    • Ability to interpret sophisticated data flow and translate it into concise, easily understood solution plans to senior staff members
                    • +
                    • Demonstration of problem solving using combination of technical know-how, soft skills and business understanding
                    • +
                    • Experience in any of the following verticals is an asset: financial services/banking, credit cards/payments, ETL pipeline build, data mart creation, process automation.
                    • +
                    • Ability to prioritize between challenging tasks/requirements in a fast-paced environment
                    • +
                    +

                    +

                    +

                    Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

                    +

                    +

                    +

                    Number of Openings:

                    0

                    +

                    PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

                    +

                    +

                    In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                    +

                    +

                    +

                    Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                    +
                    ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Data-Analyst_R2000323206?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-05-03T17:55:46.596Z,False,0,29,96,https://talenthub.vectorinstitute.ai/jobs/211701369-data-analyst-at-loblaw-companies-ltd,,expired,2023-04-03T17:14:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Associate,Bachelors Degree,New Posting, +f40afb37-6bff-4e16-9c63-c93b90fc4b67,226183741,Scotiabank,"Business Systems Analyst, PowerBi - Hybrid",on_site,Canada : Ontario : Toronto,2023-05-16T15:52:06.696Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 175811

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    Job Overview:

                    +

                    We are seeking a Technical Business Analyst to join our Client Analytics & Revenue Reporting team. The successful candidate will be responsible for analyzing new and existing revenue data feeds and designing and implementing processes to ensure accurate and timely reporting. They will work closely with stakeholders across the organization to ensure that revenue data is captured, analyzed, and reported in a way that supports strategic decision-making.

                    +

                    +

                    Responsibilities:

                    +
                    • Analyze new and existing revenue data to identify trends, patterns, and anomalies
                    • Develop and maintain revenue reporting systems and processes
                    • Ensure the accuracy and completeness of revenue data
                    • Collaborate with stakeholders across the organization to ensure that revenue data is captured and reported in a timely and accurate manner
                    • Develop and maintain documentation related to revenue reporting systems and processes
                    • Monitor revenue reporting systems and processes to ensure they continue to meet the needs of the organization
                    • Provide training and support to end-users of revenue reporting systems
                    • +
                    +

                    +

                    Qualifications:

                    +
                    • Bachelor's degree in business, finance, accounting, or a related field
                    • 5+ years of experience in a technical business analyst role
                    • Strong analytical and problem-solving skills
                    • Experience with revenue reporting and analysis
                    • Experience with data modeling and database design
                    • Proficiency in SQL and data visualization tools (such as Tableau or Power BI)
                    • Excellent communication and collaboration skills
                    • Ability to work independently and as part of a team
                    • +
                    +

                    +

                    This is an excellent opportunity for a highly motivated Technical Business Analyst to join a dynamic team at a large financial institution. The successful candidate will have the opportunity to work on challenging projects and develop their skills in a fast-paced, dynamic environment. We offer competitive compensation and benefits packages, as well as opportunities for career growth and development. If you are a highly motivated individual with a passion for revenue reporting and analysis, we encourage you to apply.

                    +

                    #LI-Hybrid

                    +

                    #ScotiaRed

                    +

                    #CapitalMarketTech

                    +

                    #ScotiaTechnology

                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Business-Systems-Analyst%2C-PowerBi-Hybrid-ON-M5H4A6/568949417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-18T15:57:03.257Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/226183741-business-systems-analyst-powerbi-hybrid-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Business-Systems-Analyst%2C-PowerBi-Hybrid-ON-M5H4A6/568949417/,expired,2023-05-16T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +c079598a-dc67-4553-9935-f817a3dc45da,221076228,Scotiabank,Velocity - Software Engineer Internship/Co-Op - Fall 2023,on_site,Canada : Ontario : Toronto,2023-05-01T17:22:03.033Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 177544

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    Term: September - December 2023
                    Application Deadline: 05/19/2023

                    +

                    +

                    There's no better way to find your dream job than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                    +

                    +

                    The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

                    +

                    +

                    Is this role right for you? In this role, you will:

                    +
                    • Work with a squad of go-getters to deliver clean and effective solutions
                    • Produce workable prototypes to illustrate concepts iteratively and be able to provide detailed specifications for use by the other team members
                    • Deliver high quality implementations by practicing best software development practices
                    • Be a culture champion pivotal in driving culture change at all levels
                    • Experiment & learn!
                    • +
                    +

                    +

                    Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                    +
                    • You are currently enrolled in post-secondary education.
                    • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                    • You enjoy being involved in extracurricular activities such as conferences, clubs, and hackathons.
                    • You have knowledge/experience in:
                    • +
                    +
                    • Software Development Life Cycle (SDLC)
                    • Database knowledge (Postgres, Oracle, SQL Server, etc.)
                    • Programming Languages (Java, JavaScript, React, C, C++, etc.)
                    • Development tools (Jenkins, Maven, Artifactory, etc.)
                    • Agile Methodologies (Scrum, Kanban, XP. etc.)
                    • +
                    +

                    +

                    What’s in it for you?

                    +
                    • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                    • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                    • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                    • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                    +

                    +

                    How do I apply?

                    +

                    For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationshipsover resumes and are focused on learning about who you are and what youre interested in to uncover your true potential.Instead,we ask that as part of your application you complete the below:

                    +

                    +
                    1. Complete your PLUM Profile here and save as a screenshot.
                    2. Complete a short one-way video interview here.
                    3. Once you have completed your Plum Profile and one-way video interview, apply to the role. Reminder: when the application asks for your resume, instead upload the screenshot of your PLUM Profile!
                    4. +
                    +

                    +

                    *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                    +

                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Software-Engineer-InternshipCo-Op-Fall-2023-ON/569923117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-22T15:57:03.736Z,False,0,4,18,https://talenthub.vectorinstitute.ai/jobs/221076228-velocity-software-engineer-internship-co-op-fall-2023-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Software-Engineer-InternshipCo-Op-Fall-2023-ON/569923117/,expired,2023-05-01T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +4abbe0a8-da6e-41ef-abc3-c1e7b4bddb48,226981547,BMO Financial Group,"Senior Analyst, Quantitative Analysis and Strategy",on_site,"Ontario, Canada",2023-05-18T15:39:01.795Z,"
                    +

                    Application Deadline:

                    05/21/2023

                    -

                    Additional Information:

                    -

                    Required Technical Skills

                    +

                    Address:

                    100 King Street West

                    +

                    +

                    Job Family Group:

                    Data Analytics & Reporting

                    +

                    +

                    +

                    +

                    Applies knowledge of advanced analytic algorithms and technologies to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups.

                      -
                    • BSc+ in Computer Science, Math, Physics, or similar
                    • -
                    • 2+ years of extensive programming experience, at least 1 year in building production data systems
                    • -
                    • 1+ year experience of building machine learning production system
                    • -
                    • Strong experience with major Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Spark, Cassandra, Kafka, Elasticsearch
                    • -
                    • Good knowledge of Machine Learning and Deep Learning
                    • -
                    • Practical expertise in performance tuning, bottleneck problems analysis, and troubleshooting
                    • -
                    • Strong experience with Scala and Java 8
                    • +
                    • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • +
                    • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                    • +
                    • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
                    • +
                    • Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
                    • +
                    • Applies scripting / programming skills to assemble various types of source data into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                    • +
                    • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., Analytical solutions, mathematical models, algorithms, machine learning, deep learning) to test, verify, refine hypotheses.
                    • +
                    • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                    • +
                    • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                    • +
                    • Performs experimental design approaches to validate finding or test hypotheses.
                    • +
                    • Uses the appropriate algorithms to discover patterns.
                    • +
                    • Builds effective relationships with internal/external stakeholders and ensures alignment.
                    • +
                    • Supports development of tools and delivers training for data analytics and AI.
                    • +
                    • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • +
                    • Leads/participates in the design, implementation and management of core business/group processes.
                    • +
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                    • +
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • +
                    • Works independently on a range of complex tasks, which may include unique situations.
                    • +
                    • Broader work or accountabilities may be assigned as needed.
                    • +
                    +

                    Qualifications:

                    +
                      +
                    • Post-secondary degree in related field of study is preferred.
                    • +
                    • Knowledge of visualization techniques and concepts (e.g. PowerBI, Tableau).
                    • +
                    • Experience with programming languages (e.g. SQL, Python, SAS) and machine learning /deep learning algorithms/packages.
                    • +
                    • Experience in statistical analysis, data mining, and data cleansing / transformation.
                    • +
                    • Technical proficiency gained through education and/or business experience.
                    • +
                    • Verbal & written communication skills - In-depth.
                    • +
                    • Collaboration & team skills - In-depth.
                    • +
                    • Analytical and problem solving skills - In-depth.
                    • +
                    • Influence skills - In-depth.
                    • +
                    • Data driven decision making - In-depth.
                    • +
                    +

                    +

                    Additional Job Description

                    +

                    +

                    The Quantitative Analysis and Strategy (QAS) team works closely with our partners within Corporate Treasury i.e. Structural Market Risk, Liquidity & Funding and Portfolio Management teams, and our Lines of Business partners across the bank. The team works to identify and quantify risks and opportunities through analyzing and modeling origination, utilization, prepayment behavior, pricing sensitivities, market size and revenue opportunities. The analysis and modeling work in the areas of mortgage, home equity, C&I and CRE loans, consumer & commercial deposits, various securities including MBS, ABS, Muni bonds, etc. are instrumental in pricing, valuation, interest rate risk measurement and hedging, balance sheet management and optimization strategies.

                    +

                    +

                    The Senior Analyst, Quantitative Analysis and Strategy in Corporate Treasury is ideal for one who wants to work on developing, enhancing, implementing and maintaining quantitative models and analytics suites. They would do so by using conventional econometric and machine learning techniques, for the purposes of asset liability and interest rate risk management, customer analytics, profitability, and stress testing under various macro-economic scenarios. This involves analyzing large account-level and transaction-level data, articulating the problem statement, and specifying the most appropriate quantitative solution.

                    +

                    +

                    New grads with demonstrable problem solving and critical thinking skills will be considered.

                    +

                    +

                    +

                    We’re here to help

                    +

                    +

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    +

                    +

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    +

                    +

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    +

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    +

                    +

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Analyst--Quantitative-Analysis-and-Strategy_R230005853?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-05-22T15:44:03.460Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/226981547-senior-analyst-quantitative-analysis-and-strategy-at-bmo-financial-group,,expired,2023-05-18T15:39:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +e1a81250-4e95-4ad7-b389-c66219030093,237206001,TD Bank Group,Senior Business Analyst,on_site,"Toronto, ON",2023-06-17T15:53:02.922Z,"
                    +

                    Company Overview

                    +
                    +

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    +

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    +
                    +

                    +

                    Department Overview

                    +
                    +Are you an expert level business information analyst, equipped with both conceptual and practical expertise in business information management? If so, this role offers a hands-on and high-career growth opportunity to provide business technical leadership across a broad range of information management functions to support various areas of data and analytics.
                    In this role you will provide business technical leadership across a broad range of data management functions to support the migration from PeopleSoft to workday. Works independently as a lead and will direct activities related to analysis, design, and support of business data solutions during the workday conversion.
                    +

                    +

                    Job Description

                    +
                    +As a Senior Business Information Management Analyst, you will:

                    +
                      +
                    • Develop detailed system installation and implementation plans.
                    • +
                    • Work independently as a lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
                    • +
                    • Design extract, transform and load (ETL) software components.
                    • +
                    • Develop and Test ETL processes using DB2, SQL, EIB, SSIS.
                    • +
                    • Document process and operational procedures.
                    • +
                    +
                      +
                    • Be the expert-level team analyst, considered an authority with in-depth knowledge and experience in data analysis and data migration as well as working knowledge of broader related areas in HR or Financial systems
                    • +
                    • Participate in Workday implementation activities including discovery, design, configuration, documentation, testing, and project review sessions related to data conversion activities
                    • +
                    • Facilitate data discovery workshops, downstream impact analyses and proactively manage stakeholder expectations
                    • +
                    • Lead projects of moderate to complex risk and data requirements; may lead end-to-end data conversion activities
                    • +
                    • Develop business requirements; design and implement complex business data information management frameworks
                    • +
                    • Apply automation and innovation on data platforms and on new development projects / initiatives
                    • +
                    • Partner and collaborate with business and technology partners to resolve data / application issues and ensure requirements delivery
                    • +
                    • Participate fully as a member of the project delivery team, support a positive work environment that promotes service to the business, quality and innovation and, ensure timely communication of issues/points of interest
                    • +
                    +

                    Department Overview
                    Business Information Management (BIM) at TD is part of a creative, enterprise-wide data and analytics ecosystem. Roles in BIM are highly professional and valued, specialized yet inter-connected and focused on making the availability of business information to designers, developers and decision-makers a priority, all with a united purpose to serve customers and continually build a better bank.

                    +

                    We’re looking for analytical and agile professionals who can merge and translate data into technology and business information, serving today’s business needs and setting in motion TD’s longer-term goals and strategic objectives. If you get data, its power and potential, we think you’ll love working at TD, where data knows no bounds and where your professional expertise will help to drive the business forward and take your own career to new heights.

                    +
                    +

                    +

                    Requirements

                    +
                    +What can you bring to TD? Share your most relevant experience, credentials, and knowledge for this role, as well as these essential requirements and attributes:

                    +
                      +
                    • Undergraduate degree or technical certificate
                    • +
                    • Five (5) or more years relevant experience working with PeopleSoft data and ETL processes
                    • +
                    • Prior migration or conversion experience
                    • +
                    • Sound conceptual knowledge in your area of specialty
                    • +
                    • Fluent in one or two programming languages
                    • +
                    • Advanced analytical and problem-solving skills
                    • +
                    • Proficient knowledge of various data sources, tools and technologies used in preparing summaries/reports
                    • +
                    • Proficient to analyze, organize and prioritize work while meeting multiple deadlines
                    • +
                    • Expertise in using analytical software tools, MS Office, data analysis methods and reporting techniques
                    • +
                    • Strong ability to work collaboratively and independently, communicate effectively (both speaking and writing), follow instructions/direction, and help building relationships across teams and functions
                    • +
                    +

                    Additional Information

                    +
                      +
                    • Experience working with Workday
                    • +
                    • Data Migration and Data Integration
                    • +
                    +
                    +

                    +

                    Hours

                    +
                    37.5
                    +

                    +

                    Inclusiveness

                    +

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    +

                    +
                    ",,https://jobs.td.com/en-CA/jobs/18509693/senior-business-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-06-26T15:58:01.793Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/237206001-senior-business-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18509693/senior-business-analyst-toronto-ca/,expired,2023-06-17T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +8ac642d5-1bfc-4f86-8708-04647947a630,230064182,Loblaw Companies Ltd,Data Engineer,on_site,"Ontario, Canada",2023-05-28T15:41:02.646Z,"
                    +

                    Referred applicants should not apply directly to this role.

                    +

                    All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                    +

                    +

                    +

                    Location:

                    500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

                    +

                    +

                    When you hire great people, great things can happen.

                    +

                    PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

                    +

                    +

                    Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

                    +

                    +

                    Our mission is to build the PC Bank Payment & Rewards Data Platform, which would serve as an integrated data platform to perform complex big-data processing, advanced analytics, and machine learning. The Data Engineer position is a fantastic opportunity to join our expanding PC Bank Payment & Rewards Engineering team.

                    +

                    +

                    The Data Engineering team is looking for passionate engineers working in a fast-paced organization using Agile/Scrum methodology to deliver excellent solutions for our demanding customer service, operations requirements, and resolving the engineering challenges of building robust and scalable data systems aligned to enterprise data strategy.

                    +

                    +

                    You will participate in defining technical solutions, code architectures, and will be responsible for developing and delivering production-ready code. The ideal candidate will be someone who genuinely enjoys problem-solving and writing high-quality code to build robust, highly distributed, and scalable data processing systems and pipelines. Some of the challenges the candidate would tackle are:

                    +
                      +
                    • Design, implement and operate PC Bank’s core datasets that have extreme requirements on scalability, reliability, maintainability, flexibility, auditability, and quality
                    • +
                    • Design large scale streaming and batch data pipelines (billions of data points) that involve analyzing transactions over a long period without reprocessing vast amounts of data
                    • +
                    • Perform data profiling and source to target mapping analysis for the best design
                    • +
                    • +Collaborate with business solution analysts, other engineers, solution architects, and other team members to innovate and evolve our datasets to data products to create a single coherent platform with sources of truth that serve a plethora of stakeholders within PC Bank
                    • +
                    +

                    What you’ll do:

                    +
                      +
                    • Apply your expertise in data and software engineering to design and implement data products that meet extreme requirements on scalability, reliability, maintainability, flexibility, auditability, and quality
                    • +
                    • Be T-Shaped. Your primary area is data engineering, but you are comfortable working in a secondary area of expertise such as data presentation/visualization, backend engineering, or data modeling (SQL, NoSQL, Graph & Time-series)
                    • +
                    • Work closely with cross-functional teams of data, backend and frontend engineers, product owners, technical product owners, and technical support personnel
                    • +
                    • Gaining technical expertise in building a data platform at scale to solve business, product, and technical use cases
                    • +
                    • Getting hands-on experience with technologies such as Elasticsearch, Apache Airflow, Apache Kafka, Apache Beam, Apache Spark, Hive, HDFS, Kubernetes (Openshift)
                    • +
                    • +Getting hands-on experience with Google Cloud Platform and technologies such as BigQuery, Cloud Composer, Pub/Sub, Dataflow, Dataproc, GCS, Looker, and other cloud-native offerings in GCP
                    • +
                    +

                    Who you are:

                    +
                      +
                    • An undergraduate or Master’s degree in Computer Science or equivalent engineering experience
                    • +
                    • 2+ years of professional software engineering and programming experience (Java, Python) with a focus on designing and developing complex data-intensive applications
                    • +
                    • Familiarity with architecture and design (patterns, reliability, scalability, quality) of complex systems
                    • +
                    • Advanced coding skills and practices (concurrency, distributed systems, functional principles, performance optimization)
                    • +
                    • Professional experience working in an agile environment
                    • +
                    • Strong analytical and problem-solving ability
                    • +
                    • Strong written and verbal communication skills
                    • +
                    • Experience in operating and maintaining production-grade software
                    • +
                    • +Comfortable with tackling very loosely defined problems and thrive when working on a team which has autonomy in their day to day decisions
                    -

                    Nice to have Skills

                    +

                    Preferred Skills:

                      -
                    • C++, Python experience
                    • -
                    • Experience in systems/infrastructure projects on AWS and Azure
                    • +
                    • Knowledge of software and data engineering best practices
                    • +
                    • Experience with large scale distributed data technologies and tools
                    • +
                    • Experience pulling data from a variety of data source types including Mainframe (EBCDIC), Fixed Length and delimited files, databases (SQL, NoSQL, Time-series)
                    • +
                    • Strong coding skills for analytics and data engineering (Java, Python, and Scala)
                    • +
                    • Experience performing analysis with large datasets in a cloud-based environment, preferably with an understanding of Google’s Cloud Platform (GCP)
                    • +
                    • Understands how to translate business requirements to technical architectures and designs
                    • +
                    • Comfortable communicating with various stakeholders (technical and non-technical)
                    -

                    Benefits

                    -
                      -
                    • Entrepreneurial and inclusive culture
                    • -
                    • Excellent health coverage and pension plan
                    • -
                    • Four weeks paid vacation
                    • -
                    • Catered lunches twice a week over machine learning talks
                    • -
                    ",,https://layer6.ai/careers/#Machine-Learning-Product-Engineer-669,aitalent@vectorinsitute.ai,https://layer6.ai/careers/,,,2023-04-26T19:50:52.052Z,False,0,16,87,https://talenthub.vectorinstitute.ai/jobs/209227171-machine-learning-product-engineer-at-layer-6,,expired,2023-03-27T19:50:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -6a503669-6911-43e4-ba9d-765cb62a9f49,208967715,BMO Financial Group,"Manager, Risk analytics and reporting",on_site,"Ontario, Canada",2023-03-26T17:12:02.657Z,"
                    -

                    Address:

                    55 Bloor Street West

                    -

                    -

                    Job Family Group:

                    Data Analytics & Reporting

                    -

                    -

                    -

                    -

                    -Key Accountabilities

                    -

                    Supports the execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies. Supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance and minimizes risk.

                    +

                    Nice to have Skills (though not required):

                      -
                    • Designs, develops, and implements reporting solutions by using SAS, SQL and Power BI to meet management and regulatory reporting requirements.

                    • -
                    • Participates in the design, implementation, and management of core business processes to ensure the accuracy of risk data used in reporting. Provides advice to assigned business/group on implementation of analytical and reporting solutions.

                    • -
                    • Executes work to deliver timely, accurate, and efficient service for scheduled reporting production processes.

                    • -
                    • Research existing or emerging requirements & related best practices to assist and develops recommendations for changes/enhancements.

                    • -
                    • Analyzes data and highlights significant information including variances, trends, opportunities and exposures; escalates as required.

                    • -
                    • Support audit, conduct process and program documentation and review.

                    • -
                    • Support the maintenance of the risk reporting framework.

                    • +
                    • Exposure to data-science or machine-learning packages (Pandas, Pytorch, Keras, TensorFlow, etc...)
                    • +
                    • Contributions to open-source software (code, docs, or mailing list posts)
                    • +
                    • GCP Professional Data Engineer Certification
                    • +
                    • Confluent Certified Developer for Kafka

                    -
                    • Ensures strong governance and effective controls across risk reporting activities and information in accordance with enterprise standards. Support report accuracy and completeness assessment.

                    -

                    -
                    • Coordinates the management of databases; ensures alignment and integration of data in adherence with data governance standards.

                    -

                    -
                    • Represents the risk reporting function during internal/external regulatory audits and/or examinations. Provides information and supports the process for internal and external audits.

                    -

                    -
                    • Supports the interpretation of internal and external policies and regulatory requirements relevant to the analytics and reporting mandate e.g. regulatory reporting.

                    -

                    -
                    • Supports the maintenance of operational procedures and processes related to analytical and reporting processes.

                    +

                    COVID-19 is a serious condition and has had a devastating impact on Canadians and others across the globe. As a leading Health and Wellness provider for millions of Canadians, our goal is to help all Canadians ""Live Life Well"". ​

                    +

                    +

                    In support of this goal, we have adopted a COVID-19 Vaccination Policy to protect the health and well-being of our employees as we continue our phased approach of office reopening. Employees will be required either to be fully vaccinated or undergo regular COVID-19 Rapid Antigen Screening in order to access the workplace.

                    -
                    • Supports the development of tools and delivery of training focused on awareness and understanding of key data elements used in risk reporting.

                    -
                    • Builds effective relationships with internal/external stakeholders.

                    +

                    Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

                    -
                    • Works independently and regularly handles non-routine situations.

                    -


                    -

                    Knowledge and Skills

                    -
                    • 5-7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

                    +

                    Number of Openings:

                    0

                    -
                    • Advanced experience in querying language (SAS, SAS viya, SQL, etc.).

                    +

                    PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

                    -
                    • Advanced experience with reporting tools (Power BI, Excel Pivot, Spotfire, etc.)

                    +

                    In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                    -
                    • Knowledge in credit risk management.

                    -
                    • Strong in documentation, presentation and communication.

                    +

                    Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                    +
                    ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Data-Engineer_R2000234469?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-06-28T17:35:51.613Z,False,0,17,74,https://talenthub.vectorinstitute.ai/jobs/230064182-data-engineer-at-loblaw-companies-ltd,,expired,2023-05-28T15:41:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Associate,Bachelors Degree,New Posting, +ed341a52-0ec8-45ba-832f-8871d047dc7f,221076250,Scotiabank,"Manager, Advanced Analytics (18 Month Contract)",on_site,Canada : Ontario : Toronto,2023-05-01T17:22:05.224Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 177054

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    JOB SUMMARY

                    +

                    +

                    GRM Retail Credit Risk aims to be an industry leader in developing innovative solutions for Retail Banking. This is accomplished using advanced analytics, agile principles and disciplined risk governance. To align with its departmental mission to modernize Credit Risk, the advance analytics team acts as an idea incubator and analytical use cases accelerator, leveraging non-traditional data, advance analytic algorithms and enterprise platforms. The team relies on retail credit risk expertise and key business partners to provide consulting services within GRM and help building the next generation of retail credit solutions at Scotiabank.

                    +

                    +

                    The Manager will work on key projects aimed at accelerating benefits for customers and the bank, leveraging enterprise-level data management toolkits. She/he will work closely with Global Risk teams, the Business lines, Digital Banking and IT to leverage data analytics to enhance retail and small business lending portfolios within risk appetite thresholds. The candidate will help identify and recommend opportunities to deliver innovative credit offers based on risk-reward framework and the GRM’s digital strategy.

                    +

                    +

                    The role requires rigorous logical thinking, curiosity, flexibility and great teamwork abilities. The candidate will be at the intersection of data engineering, math and statistics, and domain knowledge in Risk Management. She/he will participate in risk-reward strategy development to drive innovation and digital transformation throughout the Bank and Global Risk Management.

                    +

                    +

                    WHAT’S IN IT FOR YOU?

                    +

                    +
                    • Opportunity to make an impact in the digital transformation of Scotiabank
                    • Exposure to different business lines and Caribbean markets where analytics techniques are being applied
                    • Hands-on practical projects to drive innovations throughout retail credit lifecycle
                    • A compensation program with competitive salary, opportunities for annual performance incentives based on performance thresholds
                    • +
                    +

                    +

                    JOB REQUIREMENTS

                    +

                    +
                    • University or post-graduate degree in n Economics, Finance, Business, Mathematics, or Computer Science
                    • Minimum 1 years of experience in credit risk strategy design and/or retail portfolio management field
                    • Strong knowledge of retail or small business portfolio performance and credit risk measurement concepts and methodologies
                    • Ability to work with large volumes of data and proficient working experience with SQL, SAS, and Tableau
                    • Results driven mindset with a strong record of abilities to translate data and analysis to practical insights
                    • Excellent written and presentation skills to present insights and explanation to various stakeholders within the organization
                    • Experience in statistical modeling and/or big data ETL processing is an asset
                    • +
                    +

                    +

                    JOB RESPONSIBILITIES

                    +

                    +
                    • Monitor and evaluate existing credit risk strategies (e.g. credit origination, account management, collections strategies and/or other credit solutions) to identify opportunities and provide data driven recommendations to ensure the Bank remains within risk appetite
                    • Work with key stakeholders to provide data driven recommendation leveraging the Bank’s internal data infrastructure and external data (where possible). Define data requirements and provide analytical support for business proposals.
                    • Implement data driven credit strategy design with business partners; utilizing subject matter expertise to develop customer segmentation, credit limits assignment, pre-approval, and credit lifecycle strategies for retail and small business
                    • Conduct in-depth analysis to identify change in credit quality, exceptions, customer behavior and origination trends. Develop and track early-warning indicators to identify population shifts. Provide periodic recommendation for risk controls and strategy enhancement.
                    • +
                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Advanced-Analytics-%2818-Month-Contract%29-ON-M5H1B6/569885117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-31T19:57:57.930Z,False,0,5,17,https://talenthub.vectorinstitute.ai/jobs/221076250-manager-advanced-analytics-18-month-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Advanced-Analytics-%2818-Month-Contract%29-ON-M5H1B6/569885117/,expired,2023-05-01T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +eeaba424-3dcb-411a-abca-c28b35e20b21,226981545,BMO Financial Group,"Report Analyst, VBA and Data Visualization software- HYBRID",on_site,"Ontario, Canada",2023-05-18T15:39:01.640Z,"
                    +

                    Application Deadline:

                    05/29/2023

                    -
                    • In-depth knowledge of reporting & analytics concepts and applications.

                    +

                    Address:

                    250 Yonge Street

                    +

                    +

                    Job Family Group:

                    Data Analytics & Reporting

                    +

                    +

                    This is a critical role n supporting our business partners with reporting, analytical and production activity support. This role supports our primary partners within TORIC (Technology and Operations Risk and Internal Controls) division as well as Technology and Operations (T&O) and BMO Nesbitt Burns branch network. It also provides critical support with Power BI reporting, Authority Process Support, GEMS BAU as well as the opportunity to lead on training reporting and other initiatives. You will be supporting the development of BMO\'s CO-OP students and BMO Interns and provides the candidate the opportunity to gain leadership skills, strong organizational skills and building of partner relationships.

                    +

                    Key Priorities/duties:

                      -
                    • Deep knowledge and technical proficiency gained through extensive education and business experience.

                    • -
                    • Collaboration & team skills - In-depth.

                    • +
                    • Governance, Risk and Compliance Dashboard support using Power BI

                    • +
                    • Support of various Authorization Lists for T&O & BMO Nesbitt Burns branch network using Power Apps, PDF Forms and SharePoint or other like programs

                    • +
                    +

                    +

                    This is a HYBRID role based in the Greater Toronto area.

                    +

                    +

                    +

                    Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                    +
                      +
                    • Builds effective relationships with internal/external stakeholders.
                    • +
                    • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                    • +
                    • Designs, develops, and implements innovative analytical solutions.
                    • +
                    • Designs and produces regular and ad-hoc reports, and dashboards.
                    • +
                    • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                    • +
                    • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                    • +
                    • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                    • +
                    • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                    • +
                    • Designs, develops, and implements innovative analytical solutions.
                    • +
                    • Designs and produces regular and ad-hoc reports, and dashboards.
                    • +
                    • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                    • +
                    • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • +
                    • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                    • +
                    • Analyzes data and information to provide subject-matter insights and recommendations.
                    • +
                    • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                    • +
                    • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                    • +
                    • Builds effective relationships with internal/external stakeholders.
                    • +
                    • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                    • +
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                    • +
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • +
                    • Works independently on a range of complex tasks, which may include unique situations.
                    • +
                    • Broader work or accountabilities may be assigned as needed.

                    -
                    • Analytical and problem-solving skills - In-depth.

                    -

                    -
                    • Influence skills - In-depth.

                    -

                    -
                    • Data driven decision making - In-depth.

                    +

                    SKILLS and Qualifications:

                    +
                      +
                    • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                    • +
                    • MUST HAVE VBA (At least 3 years desired)
                    • +
                    • MUST HAVE experience with Power BI, Spotfire, or Tableau ( At least 1-2 years desired)
                    • +
                    • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Very good.
                    • +
                    • Technical proficiency gained through education and/or business experience.
                    • +
                    • Verbal & written communication skills - In-depth.
                    • +
                    • Collaboration & team skills - In-depth.
                    • +
                    • Analytical and problem solving skills - In-depth.
                    • +
                    • Influence skills - In-depth.
                    • +
                    • Data driven decision making - In-depth.
                    • +

                    -

                    We’re here to help

                    +

                    We’re here to help

                    +

                    +

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    +

                    +

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    +

                    +

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    +

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    +

                    +

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Report-Analyst--VBA-and-Data-Visualization-software--HYBRID_R230006641?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-06-01T15:44:02.800Z,False,0,3,11,https://talenthub.vectorinstitute.ai/jobs/226981545-report-analyst-vba-and-data-visualization-software-hybrid-at-bmo-financial-group,,expired,2023-05-18T15:39:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +9cae56cc-4e07-4d48-b61f-1cf9bf7b81f3,229115262,TD Bank Group,Risk and Controls Business Oversight Analyst Intern/Co-op,on_site,"Ottawa, ON",2023-05-25T15:53:03.252Z,"
                    +

                    Company Overview

                    +
                    +

                    All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                    +

                    Why TD?

                    +

                    TD’s Colleague Promise: A better you. A better us.

                    +

                    A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                    +

                    -

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    +

                    Department Overview

                    +
                    +

                    Department Overview – Canadian Personal Banking (CPB) Operations – Shared Services provides trusted, unparalleled expertise for mission-critical shared services. We cultivate diverse, highly skilled teams that drive efficiency & create simplicity to allow our colleagues to focus on their businesses. We provide experts focus on 1. Colleague Enablement & Support 2. Command Centre, Business Insights & Planning 3. Premises Execution and National Operations 4. 1A Risk and Control Business Oversight 5. Access Management Support and 6. Resolve Customer Opstacles.

                    +

                    The 1A Risk and Control Business Oversight team is the first line of contact for businesses across CPB Operations providing leadership, expertise and oversight of highly visible activities related to Internal/External Audit reviews, Operational Risk Programs and Control Partner Engagements.

                    +

                    Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                    +

                    Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                    +
                      +
                    • Leadership talks with key Leaders from across the organization
                    • +
                    • Lunch and Learns on topics such as Innovation
                    • +
                    • Diversity and Inclusion and Personal Branding and so much more
                    • +
                    +

                    -

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    +

                    Job Description

                    +
                    +

                    This role will report to the Senior Manager of 1A Risk and Control Business Oversight, CPB Operations – Shared Services, and will be responsible for supporting the Control Partner Engagement pillar and coordinating 1B Governance and Control risk activities within CPB Operations team, including but not limited to:

                    +
                      +
                    • Supporting EUC’s/Tools inventory oversight
                    • +
                    • Assisting with regulatory control mapping and testing
                    • +
                    • Providing tracking and reporting support
                    • +
                    • Standardizing CPB Operations Controls & Procedures
                    • +
                    • External or internal Audit Exams
                    • +
                    +

                    -

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    Requirements

                    +
                      +
                    • Currently enrolled in an undergraduate degree in Finance, Accounting, Analytics, Data, Business/Commerce or related field; with the intent of going back to school at the start of your work term
                    • +
                    • Strong understanding of technology controls for internal tools.
                    • +
                    • Understanding of Control partner programs and control disciplines such as control design and process mapping.
                    • +
                    • Excellent Microsoft knowledge and experience.
                    • +
                    • Experience with Confluence and JIRA tools.
                    • +
                    • Demonstrated leadership and influencing skills
                    • +
                    • Ability to work effectively in a highly collaborative team environment
                    • +
                    • Excellent writing and verbal communication skills
                    • +
                    • Strong interpersonal and negotiation skills
                    • +
                    • Ability to deal with conflicting points of view and to effect creative and responsive solutions
                    • +
                    • Ability to assimilate and understand high volume of complex information and the ability to communicate in a concise and simple manner
                    • +
                    • Ability to work in a fast-paced environment and manage multiple deadlines and priorities
                    • +
                    • Previous experience in Governance and Control, Compliance, AML, Privacy, Operational Risk Management or Audit is an asset.
                    • +

                    -

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    +

                    Additional Information

                    +
                      +
                    • This position is a 4-month work term and will commence September 5th – December 22nd 2023.
                    • +
                    • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                    • +
                    • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                    • +
                    • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                    • +
                    • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
                    • +

                    -

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    -
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Risk-analytics-and-reporting_R230000927?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-04-26T18:15:52.396Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/208967715-manager-risk-analytics-and-reporting-at-bmo-financial-group,,expired,2023-03-26T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -cecf7af6-f5c7-4a3b-a3d3-dd88a4b1b9ba,210221126,TD Bank Group,Senior Business Insights Analyst,on_site,"Markham, ON",2023-03-30T17:24:04.463Z,"
                    -

                    Company Overview

                    -
                    -

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    -

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    -
                    -

                    -

                    Department Overview

                    -
                    -

                    What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                    -

                    We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                    -
                    -

                    -

                    Job Description

                    -
                    -

                    -

                    About this Role

                    -

                    As an expert in data and analytics, you will provide in depth expertise, analytical interpretation, key insights and action items to your multi-functional business partners across the organization. Those insights will be brought to bear to enable informed and enabled business decisions enterprise wide or help to solve the increasingly complex business problems they face.

                    -

                    In this role, TD will look to as a thought leadership as well as a leader in your space, coaching, mentoring, empowering and educating your peers to collaborate and bring TD into the future of banking.

                    -

                    -

                    As a Senior Business Insights Analyst, you will:

                    -
                      -
                    • Apply understanding of respective business strategies to produce relevant and substantial data analysis to support business goals and objectives
                    • -
                    • Develop analysis to illustrate business trends and identify areas of business opportunities
                    • -
                    • Produce insights and recommend business actions to align with strategy and/or solve business problems
                    • -
                    • Provide seasoned specialized knowledge, advice and/or mentorship to various business and working partners
                    • -
                    • Execute on data requests accurately and within a timely manner
                    • -
                    • Represent functional area as an analytics & insights professional and key resource; build positive and productive working partnerships
                    • -
                    • Act as a bridge to translate business requirements to analytics and reporting needs for a given domain
                    • -
                    • Provides day-to-day support and delivery of analytics
                    • -
                    • Work independently as the senior analyst/subject matter expert and may coach and educate others
                    • -
                    • Considered an authority within a given area
                    • -
                    • Oversee and/or independently perform tasks from end to end
                    • -
                    -
                    -

                    -

                    Requirements

                    -
                    -What can you bring to TD?

                    -

                    Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    -
                      -
                    • Undergraduate degree or technical certificate
                    • -
                    • Five (5) or more years relevant experience
                    • -
                    • SQL coding experience is mandatory, Python is preferred
                    • -
                    -
                    -

                    -

                    Additional Information

                    -
                    #tdcybersecurity #LI-Post
                    -

                    -

                    Hours

                    -
                    37.5
                    -

                    -

                    Inclusiveness

                    -

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -

                    -
                    ",,https://jobs.td.com/en-CA/jobs/18036300/senior-business-insights-analyst-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-29T19:18:00.746Z,False,0,2,12,https://talenthub.vectorinstitute.ai/jobs/210221126-senior-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18036300/senior-business-insights-analyst-markham-ca/,expired,2023-03-30T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -edd2dfe3-a4a4-4bf5-83f7-63bd26738955,210223731,TELUS,Senior Software Developer,on_site,"Ontario, Canada",2023-03-30T17:42:04.733Z,"
                    -
                    -

                    Description

                    -
                    -

                    Join our team

                    +

                    Start Date

                    +
                    – Fall
                    +

                    +

                    Inclusiveness

                    +

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    +

                    +
                    ",,https://jobs.td.com/en-CA/jobs/18325530/risk-and-controls-business-oversight-analyst-intern-co-op-ottawa-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-06-01T15:58:02.233Z,False,0,3,8,https://talenthub.vectorinstitute.ai/jobs/229115262-risk-and-controls-business-oversight-analyst-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18325530/risk-and-controls-business-oversight-analyst-intern-co-op-ottawa-ca/,expired,2023-05-25T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +0e4d9a33-c72c-4052-b976-f5f72ec9756b,221076252,Scotiabank,"Senior Analyst, Business Intelligence",on_site,Canada : Ontario : Toronto,2023-05-01T17:22:05.629Z,"

                    -

                    Become part of a future friendly national team, one that embraces change and initiates opportunity, has a passion for growth, believes in spirited teamwork, and has the courage to innovate. Our success is based as much on your dedication and hard work as it is on the innovative television, internet, voice, data and wireless products and solutions we offer.

                    -

                    Here’s the impact you’ll make and what we’ll accomplish together

                    -

                    As part of our Smart Cities and Home Services team, you will imagine, create, support and test innovative smart cities and live streaming services for TELUS. This is an opportunity for you to develop solutions and designs for streaming video while providing our customers with the best video streaming experiences. We’re stretching the boundaries of what is possible, and supporting and enabling local communities to expand their audiences.

                    +

                    Requisition ID: 177374

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    Here\'s how

                    +

                    Purpose of Job:

                    +


                    The candidate is a key player within the Risk Report Reporting & Analytics team, supporting strategic enhancements to the Risk & Regulatory reporting solutions.

                    +

                    +

                    The candidate is a part of a team of risk reporting specialists that produce daily, weekly, monthly, quarterly, and annual risk reports for senior management. The candidate will focus on designing, developing, and implementing solutions for GRM in areas of management reporting, and other risk initiatives.

                    +

                    +

                    The candidate will work closely with the Senior Manager to collaborate with business stakeholders to review and assess business needs for improved risk information and to help define system enhancements to respond to business, operational and management requirements. The candidate activities include data analysis, business requirement solution determination and documentation, and supporting system enhancement development and implementation. The individual must thrive on challenge, be proactive and dynamic, demonstrate initiative and sound judgement, team player, be eager to learn, and be customer focused.

                    +


                    Major Accountabilities:

                    +
                    • Work with the Senior Manager and the leadership team to develop strategic opportunities for the design, development and implementation of new solutions or enhancements to existing applications by:
                    • +
                    +

                    +625; Developing and implementing strategies for increasing the effectiveness and quality of non-retail risk reporting to senior management, executive and board reporting including developing standardized metrics and templates
                    +625; Receiving business requirements, and assess against data availability and risk management to determine the right delivery approach for new reports
                    +625; Ensure timeline and delivery commitments are tightly managed and aligned with reporting or project deliverables
                    +625; Effectively manage operational risk and change with a continuous focus on process optimization and improvement.

                    +
                    • Responsible for the development and production of monthly and quarterly senior management risk reports/regulatory reports.
                    • Be able to explain variances to management and regulators.
                    • Enhance reporting capabilities by improving analytical programs. The incumbent is responsible for developing new augmented analytics required to support non-retail credit risk lending, including the development of enhanced industry and risk reporting, and collaborating with credit officers to develop new reporting.
                    • Assist in the redesign of the Risk Reporting & Analytics processes to improve efficiencies, facilitate analysis, shorten report generation times, and migrate reports to common platforms
                    • Test enhancements / changes to existing data sources and identifying, monitoring and communicating data quality issues.
                    • Automate and test new reports, revising reporting as necessary.
                    • Develop and write queries (that are suitable and scalable) for ‘big data’, build models, and ensure data is accessible to team members, and the data sets are working smoothly.
                    • Expected to distill technical details into business terms (e.g., connects the dots) enabling fact-based decisions (based on analysis of past data) for business stakeholders. Adheres to Business Intelligence framework and methodology.
                    • Able to analyze complex business problems and issues using data from internal and external sources to provide insight to decision-makers. Identifies and interprets trends and patterns in datasets to locate root causes/drivers.
                    • Running ad-hoc queries for internal stakeholders.
                    • Effectively communicating with GRM, IT&S, Finance, Retail, and Credit groups.
                    • +
                    +


                    Education/Work Experience/Designations:

                    +

                    A minimum of two or more years of progressive, relevant and practical experience with world class organizations, preferably with financial institutions, in information management fields, and a proven track record of success in implementing effective information systems that support and generate profitable and informed decision-making in the financial services sector.

                    +

                    +

                    The incumbent must have experience and knowledge of big data, complex data models, testing, problem solving and data analysis experience in order to work cross functionally within an environment of multiple data repositories, multi-systems, multi-architectures, and multi-business lines. Particularly, excellent knowledge and experience in the following areas are essential:

                    +


                    +625; Independently resolve and document complex problems to meet business needs.
                    +625; Create, document and execute complex test cases.
                    +625; Continually acquire and enhance knowledge of risk management applications and Bank's risk management areas.
                    +625; Provide on-going support to our partners and business stakeholders.
                    +625; Assist with managing projects and coordinate work with Project Teams and provide post rollout support for system enhancements.
                    +625; Ability to handle multiple projects and activities in a timely, organized manner.
                    +625; Ability to facilitate meetings and action plans.
                    +625; Working with large amounts of data from a variety of different sources
                    +625; Strong verbal and written communication and presentation skills - to present findings / results to business leaders.
                    +625; Knowledge of project and process management disciplines.
                    +625; Strong time management skills, ability to multi-task, while being results oriented and team focused.
                    +625; Experience effectively working in a global matrix team, across a range of functions, seniority and geography.
                    +625; A broad range of cross-functional business, industry and functional knowledge is required to integrate technical solutions with business requirements.
                    +625; A strong knowledge of the Bank's policies & processes, technical platform applications and financial information systems would be an asset.
                    +625; Effective research and analysis of business requirements and functional specifications leading to the completion of complex functional specifications or External Design Documents.
                    +625; Experience in data analysis and data modeling and the ability to grasp a customized repository (as defined by a relational or dimensional database) approach.
                    +625; Experience with SQL, Power BI is preferred.
                    +625; Experience of data analysis, BI Tools and Cloud platforms is a definite asset.

                    +


                    Advanced graduate university degree (typically in mathematics, business administration, technology, statistics or equivalent). CFA or FRM designation an asset. Previous Banking and/or Credit experience is desirable.    

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst%2C-Business-Intelligence-ON-M5H1H1/569876817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-23T21:23:00.000Z,False,0,3,12,https://talenthub.vectorinstitute.ai/jobs/221076252-senior-analyst-business-intelligence-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst%2C-Business-Intelligence-ON-M5H1H1/569876817/,expired,2023-05-01T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +3813bdf4-cdf7-4c35-91d8-32b8ece62f05,222290776,TD Bank Group,Risk Model Validation Intern/Co-op,on_site,"Toronto, ON",2023-05-04T17:24:05.490Z,"
                    +

                    Company Overview

                    +
                    +

                    All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                    +

                    Why TD?

                    +

                    TD’s Colleague Promise: A better you. A better us.

                    +

                    A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                    +
                    +

                    +

                    Department Overview

                    +
                    +

                    Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                    +

                    Our Co-op/Intern Programming is offered with select Co-op and Internship roles, and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                      -
                    • Provide leadership and architectural support for CI/CD pipeline and software development practices for a small team of developers
                    • -
                    • Create, test, and support new systems and services that you help create, operating in a dev-ops team.
                    • -
                    • Bring familiarity with building and using containers and other cloud-native tools
                    • -
                    • Develop new architectures and technologies to deliver the best viewing experience for our customers.
                    • -
                    • Develop and maintain technical documentation and architecture
                    • -
                    • Apply best practices of software development in different frameworks and troubleshoot integration issues
                    • -
                    • Automate service testing to ensure reliable and repeatable results.
                    • -
                    • Ensure a high level of code quality and integrity in software development projects
                    • -
                    • Work with Project Managers and Network Planners to ensure the successful delivery of projects
                    • -
                    • An understanding of the importance of automation and continuous integration and deployment
                    • +
                    • Leadership talks with key Leaders from across the organization
                    • +
                    • Lunch and Learns on topics such as Innovation
                    • +
                    • Diversity and Inclusion and Personal Branding and so much more
                    +

                    For TD Bank Group to grow profitably, it must selectively take and manage risks. TD recognizes that a strong risk culture and approach to risk management is fundamental to our success.

                    +

                    TD’s risk management approach is comprehensive and proactive and combines experience and specialized knowledge of individual business segments, risk professionals, and the corporate oversight functions. It is based on enabling TD’s business to understand their risks and developing the policies, processes and controls required to manage these risks appropriately in line with the Bank’s strategy and risk appetite.

                    +

                    +

                    Job Description

                    +
                    +

                    TD Model Validation (MV) group is responsible for the independent validation and approval of analytical models used for risk, pricing, hedging, and capital evaluation for portfolio of financial products. This also includes validation of decision-making models, such as credit approval and behavioral scoring models.

                    +

                    The successful candidate will be a member of the Innovation Lab in MV group providing advanced data and software solutions for internal stakeholders. As a student part of the Innovation Lab in TD MV group, you will have the opportunity to join different data science and software development projects. Together with other team members, you will build complex, and highly visible solutions to enable automations in multiple business processes. We will provide you the necessary tools, resources and guidance to achieve both business and personal goals.

                    -
                    -

                    Qualifications

                    -
                    -


                    What you bring

                    -

                    +

                    +

                    Requirements

                    +
                      -
                    • 5+ years of software development experience utilizing CI/CD practices and agile methodologies
                    • -
                    • Extensive experience with cloud-native tools and cloud environments (GCP and AWS)
                    • -
                    • Capable of mentoring developers and sharing your knowledge
                    • -
                    • Strong troubleshooting methodology
                    • -
                    • An interest in video streaming technologies
                    • -
                    • Insatiable curiosity for problem solving, technology and innovation
                    • -
                    • Desire to learn and take on new challenges
                    • -
                    • Ability to collaborate with diverse groups and technical teams
                    • -
                    • Strong verbal and written communication skills
                    • -
                    • Having a creative approach to problem solving and an ability to work independently in an environment with high levels of ambiguity
                    • -
                    • Ability to manage key deliverables as part of an extended project team
                    • -
                    • Excellent interpersonal skills, talented at developing and fostering positive relationships with other team members
                    • -
                    • Bachelors in Computer Science, Engineering or related discipline
                    • +
                    • Currently enrolled in an undergraduate degree majoring in Business, Statistics, Mathematics, Financial Analysis, Risk Management, Computer Science or equivalent
                    • +
                    • Must be enrolled in an undergraduate degree with the intent of going back to school at of the start of your work term
                    • +
                    • Familiarity with SAS and Python.
                    • +
                    • Relational database SQL skills for data mining, extraction and statistical analysis.
                    • +
                    • Strong excel Advanced MS Excel and MS Access for data analysis (Pivot, Filter, Formulas, Vlookup, VBA)
                    • +
                    • Dedicated, detail oriented, and an ability to propose creative solutions
                    • +
                    • Written & verbal communication skills
                    • +
                    • Quick learner
                    • +
                    • High degree of personal initiative
                    -

                    -

                    Great-to-haves

                    -

                    +

                    Skills that are not required, but considered an asset:

                      -
                    • Python, Java, C#
                    • -
                    • MySQL, MongoDB or equivalent databases
                    • -
                    • Docker, Kubernetes, Istio, Ansible
                    • -
                    • GitHub, AzureDevops, BitBucket, or equivalent source control repositories
                    • -
                    • Github Workflows, ArgoCD, Google CloudBuild, Helm or equivalent CI-CD pipeline tools
                    • -
                    • Adaptive bitrate streaming including HLS, DASH, and CDN technologies
                    • -
                    • Video analytics powered by machine learning technologies
                    • +
                    • Knowledge of Financial Industry/Risk Management/Retail Credit products
                    • +
                    • Experience using Business Intelligence Reporting tools such as Tableau and Power BI
                    • +
                    • Knowledge of scientific computing
                    -

                    FFHJOBS

                    +

                    +

                    Additional Information

                    +
                    +

                    Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.

                    +
                      +
                    • This position is a 4-month work term and will commence Sept 5th – Dec 22nd 2023.
                    • +
                    • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                    • +
                    • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                    • +
                    • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                    • +
                    • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
                    • +
                    -
                    ",,https://careers.telus.com/job/Edmonton-Senior-Software-Developer-AB/568066617/,feed-importer@jobboard.io,,,,2023-04-29T19:31:52.720Z,False,0,2,8,https://talenthub.vectorinstitute.ai/jobs/210223731-senior-software-developer-at-telus,,expired,2023-03-30T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, +

                    +

                    Start Date

                    +
                    – Fall
                    +

                    +

                    Inclusiveness

                    +

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    +

                    +
                    ",,https://jobs.td.com/en-CA/jobs/18317570/risk-model-validation-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-23T21:26:00.000Z,False,0,2,13,https://talenthub.vectorinstitute.ai/jobs/222290776-risk-model-validation-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18317570/risk-model-validation-intern-co-op-toronto-ca/,expired,2023-05-04T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, 3cd4e6c5-69c8-4758-862b-76cf0f58770b,222290748,TD Bank Group,Data Engineer Intern/Co-op,on_site,"Toronto, ON",2023-05-04T17:24:03.469Z,"

                    Company Overview

                    @@ -236720,6 +245145,47 @@ edd2dfe3-a4a4-4bf5-83f7-63bd26738955,210223731,TELUS,Senior Software Developer,o

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    ",,https://jobs.td.com/en-CA/jobs/18300605/data-engineer-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-25T20:57:00.000Z,False,0,6,29,https://talenthub.vectorinstitute.ai/jobs/222290748-data-engineer-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18300605/data-engineer-intern-co-op-toronto-ca/,expired,2023-05-04T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +c28ed979-7cad-4977-9d2b-59d47ed1ce68,219393196,Borealis AI,Machine Learning Researcher,on_site,"Ontario, Canada",2023-04-27T17:27:02.270Z,"
                    +
                    +

                    What\'s the opportunity?

                    +

                    As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                    +

                    Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                    +
                    +
                    +

                    Your responsibilities include:

                    +
                      +
                    • Developing novel AI solutions that facilitate impactful products;
                    • +
                    • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                    • +
                    • Working with the development team to transfer research work into production;
                    • +
                    • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                    • +
                    • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                    • +
                    +
                    +
                    +

                    You’re our ideal candidate if you have:

                    +
                      +
                    • A passion for solving open problems using data and algorithms;
                    • +
                    • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                    • +
                    • Ability to formulate and drive a research project independently without close supervision;
                    • +
                    • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                    • +
                    +
                    +
                    +

                    What’s in it for you?

                    +
                    +
                      +
                    • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                    • +
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                    • +
                    • Leaders who support your development through coaching and managing opportunities;
                    • +
                    • Ability to make a difference and lasting impact from a local-to-global scale.
                    • +
                    +

                    About Borealis AI

                    +
                    +
                    +

                    Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                    +

                    Inclusion and Equal Opportunity Employment

                    +

                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                    +
                    ",,https://www.borealisai.com/careers/?gh_jid=6645277002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-05-28T03:04:18.457Z,False,0,15,102,https://talenthub.vectorinstitute.ai/jobs/219393196-machine-learning-researcher-at-borealis-ai,,expired,2023-04-27T17:27:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, 9ae5812a-0172-42ea-8f64-fd0a14efc4de,219397721,TELUS,Privacy Engineer (Remote),on_site,"Ontario, Canada",2023-04-27T17:42:03.735Z,"

                    JOIN OUR TEAM

                    @@ -236796,48 +245262,7 @@ edd2dfe3-a4a4-4bf5-83f7-63bd26738955,210223731,TELUS,Senior Software Developer,o
                    ",,https://careers.telus.com/job/Toronto-Privacy-Engineer-%28REMOTE%29-ON/569816017/,feed-importer@jobboard.io,,,,2023-05-28T03:35:17.118Z,False,0,5,29,https://talenthub.vectorinstitute.ai/jobs/219397721-privacy-engineer-remote-at-telus,,expired,2023-04-27T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, -c28ed979-7cad-4977-9d2b-59d47ed1ce68,219393196,Borealis AI,Machine Learning Researcher,on_site,"Ontario, Canada",2023-04-27T17:27:02.270Z,"
                    -
                    -

                    What\'s the opportunity?

                    -

                    As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                    -

                    Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                    -
                    -
                    -

                    Your responsibilities include:

                    -
                      -
                    • Developing novel AI solutions that facilitate impactful products;
                    • -
                    • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                    • -
                    • Working with the development team to transfer research work into production;
                    • -
                    • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                    • -
                    • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                    • -
                    -
                    -
                    -

                    You’re our ideal candidate if you have:

                    -
                      -
                    • A passion for solving open problems using data and algorithms;
                    • -
                    • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                    • -
                    • Ability to formulate and drive a research project independently without close supervision;
                    • -
                    • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                    • -
                    -
                    -
                    -

                    What’s in it for you?

                    -
                    -
                      -
                    • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                    • -
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                    • -
                    • Leaders who support your development through coaching and managing opportunities;
                    • -
                    • Ability to make a difference and lasting impact from a local-to-global scale.
                    • -
                    -

                    About Borealis AI

                    -
                    -
                    -

                    Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                    -

                    Inclusion and Equal Opportunity Employment

                    -

                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                    -
                    ",,https://www.borealisai.com/careers/?gh_jid=6645277002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-05-28T03:04:18.457Z,False,0,15,102,https://talenthub.vectorinstitute.ai/jobs/219393196-machine-learning-researcher-at-borealis-ai,,expired,2023-04-27T17:27:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, -e1a81250-4e95-4ad7-b389-c66219030093,237206001,TD Bank Group,Senior Business Analyst,on_site,"Toronto, ON",2023-06-17T15:53:02.922Z,"
                    +f1b3b6e4-ae68-459d-ac6b-adba62a499bb,228798609,TD Bank Group,Senior Business Insights Analyst,on_site,"Toronto, ON",2023-05-24T15:53:04.313Z,"

                    Company Overview

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    @@ -236845,343 +245270,166 @@ e1a81250-4e95-4ad7-b389-c66219030093,237206001,TD Bank Group,Senior Business Ana

                    Department Overview

                    -
                    -Are you an expert level business information analyst, equipped with both conceptual and practical expertise in business information management? If so, this role offers a hands-on and high-career growth opportunity to provide business technical leadership across a broad range of information management functions to support various areas of data and analytics.
                    In this role you will provide business technical leadership across a broad range of data management functions to support the migration from PeopleSoft to workday. Works independently as a lead and will direct activities related to analysis, design, and support of business data solutions during the workday conversion.
                    +

                    What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.
                    The TD Insurance Data & Insights group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization.
                    This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise.
                    Joining us in TD Insurance Data & Insights is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                    Job Description

                    -As a Senior Business Information Management Analyst, you will:

                    -
                      -
                    • Develop detailed system installation and implementation plans.
                    • -
                    • Work independently as a lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
                    • -
                    • Design extract, transform and load (ETL) software components.
                    • -
                    • Develop and Test ETL processes using DB2, SQL, EIB, SSIS.
                    • -
                    • Document process and operational procedures.
                    • -
                    +

                    Are you a big picture thinker? Fantastic! This is exactly the kind of thinking TD needs when it comes to our business intelligence support and analytics. In this role, we need you to take a holistic, high level approach to collection and reporting of data for major projects and initiatives across TD.
                    As data’s role in providing extraordinary products and services to our customers grows, we’ll look to the valued expertise you’ll provide in this role, to develop, adopt and evolve the best in class reporting and business intelligence capability.
                    Does this sound like you? You’re a natural leader, and can lead major initiatives and projects, joining business owners and partners to determine business needs and recommend solutions. Moreover, you have a talent for looking at a collection of data and drawing rare insights. In this role, we’ll need you to include those insights and commentary within the existing reporting packages you deliver. Finally, you’ll fit in well if you like to own your space and execute with speed and precision, relishing all challenges as opportunities to dig in, collaborate and take TD into the future of banking.

                    +

                    As a Senior Business Intelligence & Reporting Analyst, you will:

                      -
                    • Be the expert-level team analyst, considered an authority with in-depth knowledge and experience in data analysis and data migration as well as working knowledge of broader related areas in HR or Financial systems
                    • -
                    • Participate in Workday implementation activities including discovery, design, configuration, documentation, testing, and project review sessions related to data conversion activities
                    • -
                    • Facilitate data discovery workshops, downstream impact analyses and proactively manage stakeholder expectations
                    • -
                    • Lead projects of moderate to complex risk and data requirements; may lead end-to-end data conversion activities
                    • -
                    • Develop business requirements; design and implement complex business data information management frameworks
                    • -
                    • Apply automation and innovation on data platforms and on new development projects / initiatives
                    • -
                    • Partner and collaborate with business and technology partners to resolve data / application issues and ensure requirements delivery
                    • -
                    • Participate fully as a member of the project delivery team, support a positive work environment that promotes service to the business, quality and innovation and, ensure timely communication of issues/points of interest
                    • +
                    • Produce specialized reporting packages, dashboards and scorecards for businesses
                    • +
                    • Lead the implementation of initiatives in support of overall business/function strategy
                    • +
                    • Conduct analysis to provide improved BI to inform management leadership team
                    • +
                    • Craft complex and comprehensive BI reporting packages and dashboards utilizing data infrastructure, localized data marts and external data sources
                    • +
                    • Validate the quality and integrity of the data included in all reporting
                    • +
                    • Develop substantial and insightful commentary/insights on new and existing reporting packages.
                    • +
                    • Work with business partners to understand business objectives and develop valuable reporting and provide ad-hoc data extracts
                    • +
                    • Understand business drivers, definitions, and metrics in order to interpret findings, take action and provide relevant direction
                    • +
                    • Lead the development and implementation of portfolio reporting (e.g. acquisition, attrition, portfolio growth, profitability, etc.)
                    • +
                    • Provide (and may develop) complex reporting, analysis, and assessments at the functional or enterprise level
                    • +
                    • Work independently as the senior analyst / expert and may provide technical support to others
                    • +
                    • Maintain expert knowledge of all main data sources for the data used within the business unit and ability to effectively utilize these data sources for reporting purposes
                    • +
                    • Ideally have or acquire knowledge of broader enterprise reporting platforms and data sources and ability to integrate data across the enterprise
                    -

                    Department Overview
                    Business Information Management (BIM) at TD is part of a creative, enterprise-wide data and analytics ecosystem. Roles in BIM are highly professional and valued, specialized yet inter-connected and focused on making the availability of business information to designers, developers and decision-makers a priority, all with a united purpose to serve customers and continually build a better bank.

                    -

                    We’re looking for analytical and agile professionals who can merge and translate data into technology and business information, serving today’s business needs and setting in motion TD’s longer-term goals and strategic objectives. If you get data, its power and potential, we think you’ll love working at TD, where data knows no bounds and where your professional expertise will help to drive the business forward and take your own career to new heights.

                    Requirements

                    -What can you bring to TD? Share your most relevant experience, credentials, and knowledge for this role, as well as these essential requirements and attributes:

                    -
                      -
                    • Undergraduate degree or technical certificate
                    • -
                    • Five (5) or more years relevant experience working with PeopleSoft data and ETL processes
                    • -
                    • Prior migration or conversion experience
                    • -
                    • Sound conceptual knowledge in your area of specialty
                    • -
                    • Fluent in one or two programming languages
                    • -
                    • Advanced analytical and problem-solving skills
                    • -
                    • Proficient knowledge of various data sources, tools and technologies used in preparing summaries/reports
                    • -
                    • Proficient to analyze, organize and prioritize work while meeting multiple deadlines
                    • -
                    • Expertise in using analytical software tools, MS Office, data analysis methods and reporting techniques
                    • -
                    • Strong ability to work collaboratively and independently, communicate effectively (both speaking and writing), follow instructions/direction, and help building relationships across teams and functions
                    • -
                    -

                    Additional Information

                    +What can you bring to TD? Share your most relevant experience, credentials, and knowledge for this role, as well as these essential requirements and attributes:

                      -
                    • Experience working with Workday
                    • -
                    • Data Migration and Data Integration
                    • +
                    • Undergraduate degree in Business, Math, Computer Science, Engineering or a related discipline
                    • +
                    • The ideal candidate should have at least 5 years relevant experience
                    • +
                    • Proficient with programming languages and working in various data environments with strong understanding of relational and dimensional data modeling (e.g. SQL, Python, R, SAS, MS SQL Server etc.)
                    • +
                    • Experience with Azure Data Platform including Azure SQL Database, Databricks, and Data Lake
                    • +
                    • Expertise using business intelligence, analytics and/or data visualization tools (e.g. Tableau);

                    +

                    Flexible Work Options

                    +
                    N/A
                    +

                    Hours

                    -
                    37.5
                    +
                    35

                    Inclusiveness

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -
                    ",,https://jobs.td.com/en-CA/jobs/18509693/senior-business-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-06-26T15:58:01.793Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/237206001-senior-business-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18509693/senior-business-analyst-toronto-ca/,expired,2023-06-17T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -8ac642d5-1bfc-4f86-8708-04647947a630,230064182,Loblaw Companies Ltd,Data Engineer,on_site,"Ontario, Canada",2023-05-28T15:41:02.646Z,"
                    -

                    Referred applicants should not apply directly to this role.

                    -

                    All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                    -

                    -

                    -

                    Location:

                    500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

                    -

                    -

                    When you hire great people, great things can happen.

                    -

                    PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

                    -

                    -

                    Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

                    +
                    ",,https://jobs.td.com/en-CA/jobs/18412689/senior-business-insights-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-06-19T15:58:04.825Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/228798609-senior-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18412689/senior-business-insights-analyst-toronto-ca/,expired,2023-05-24T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +6d7ca8ef-eb31-4624-b84e-0217d7307ee8,228136422,Scotiabank,"Manager, Decisioning Models - Retail & Small Business",on_site,Canada : Ontario : Toronto,2023-05-22T15:52:03.672Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 176964

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    The world is changing faster than ever and so are we!

                    +

                    +

                    Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

                    +

                    Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

                    +

                    +

                    What You'll do in this Role?

                    +

                    As a Manager, you will report directly to a Senior Manager or Director and be a critical member of a team overseeing a portfolio of decisioning models and supporting analytic processes. You will support – from conception through execution and governance – the risk decisioning models used by 2 or more of the bank’s retail and small business product lines, across the entire customer lifecycle. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Model Operations, Product, Risk Strategy & Risk Management, Model Validation and Governance, Technology & Data, Finance, Legal, Compliance and Audit.

                    +

                    +

                    Your team will have access to both traditional SAS tools and a modern machine learning stack that includes on-premise GPU computing, open source Jupyter development environments, a Hadoop cluster, containerized API model deployment and data visualization business intelligence tools.

                    +

                    +

                    Under the guidance of your Director, your team of risk modeling experts will use these tools to develop advanced risk prediction models that will be used potentially millions of times, every year and therefore need to be not only accurate and precise, but highly stable, explainable, compliant, secure and useful. You will be responsible for understanding the goals & priorities set for you, executing them efficiently with a perpetual eye on quality, asking questions often and delivering results in harmony with your teammates.

                    +

                    +

                    Is This Role Right for You?

                    +
                    • You believe, first and foremost, in always doing the right thing and doing things the right way
                    • You are both deeply curious and highly pragmatic
                    • You are comfortable with ambitious but realistic goals and are committed to achieving them
                    • You are social, engaging, not afraid to ask questions and relish the opportunity to learn from business partners (the majority of whom will be far less technical than you)
                    • You relish the implication and yet also understand the responsibility and weight that comes with the fact that every single time your model is used, it impacts a real human being
                    • You understand the difference between accuracy and precision and get excited by really great KS values and ROC curves
                    • You have a genuine love, passion and talent for programming, data, and predictive modeling
                    • You are comfortable initiating conversations and collaborating with diverse personalities
                    • You are committed to quality in everything you do – statistically, process and governance wise
                    • You look forward to sharing your insights with your peers through high-quality effective verbal and written communications
                    • +You are professional, motivated AND FUN. We mean it.
                    • +
                    +

                    Sample projects that you might work on include:

                    +
                    • Complete specialized analysis, develop creative statistical solutions and recommend improvements to estimation techniques, risk rating systems and/or internal or vendor-developed credit risk models
                    • Collaborate with risk management teams, external vendors, technology, and country risk counterparts as well as other stakeholders (i.e. audit, product) to ensure consistent and effective governance, measurement and communication of models / scorecards and their performance
                    • Conduct research of new innovative modeling methodologies, tools and regulatory requirements; develop new methodologies for model development, monitoring and reporting
                    • Lead the periodic review and maintenance of credit risk models / scorecards
                    • Identify, promote and lead process improvements for model development and monitoring
                    • Ensure that the data used for model development is reliable and robust and that it adheres to industry and regulatory standards
                    • +
                    +

                    +

                    What Are We Looking For?

                    +

                    We want talented pragmatic analytically oriented data scientists who are equally at home interpreting and applying statistics as they are ingesting and massaging data, translating regulatory requirements into models and explaining complex issues in simple concise ways. We want bright and energetic minds who come armed with a bottomless sense of curiosity about everything (great models and analytics are about so much more than just the numbers!), a passion for getting things done right – the first time – and a deep sense of personal and professional accountability.

                    +

                    +

                    To be a Manager in Retail Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you also need to be a collaborative team player who actively listens to stakeholders and customers because you are passionate about helping them win and you need to be interested in building something lasting and great. Working with customers across the bank to understand and translate their needs into outcomes, exploring both novel and legacy data sets and methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that your team “owns” will all be equally important.

                    +

                    +

                    We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

                    +

                    +

                    Do you have the skills that will enable you to succeed in this role?

                    +

                    General

                    +
                    • Bachelor’s Degree in Mathematics, Computer Science, Engineering or an equivalent technical field
                    • A demonstrated history of analytic problem solving and sound judgment
                    • Experience as an analyst or data scientist with a track record of accomplishments working on cross-functional teams
                    • Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit high-quality documentation and be accepted as a trusted advisor by peers
                    • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines
                    • +
                    +

                    +

                    Technical

                    +
                    • Strong fundamental understanding of statistics
                    • 2+ years of overall experience in analytic roles developing and using predictive, risk and/or forecasting models
                    • Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows)
                    • 1 or more years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
                    • Knowledge of credit risk models / scorecards
                    • +
                    +

                    +

                    Nice To Have's

                    +
                    • Proficient reading, writing and speaking Spanish (not required)
                    • Experience developing credit risk models / scorecards
                    • Domain expertise with any retail & small business banking products and/or risk management practices
                    • FRM, CFA credentials
                    • Experience training and deploying machine learning models using common Python open source frameworks (i.e., scikit-learn) and/or Python DevOps
                    • Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI) power user
                    • +Experience working with FICO / TSYS / CGI decision systems (TRIAD, OM, ACE, CACS)
                    • +
                    +

                    What's In it For You?

                    +
                    • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
                    • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                    • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
                    • Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
                    • A competitive compensation package
                    • +
                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Manager%2C-Decisioning-Models-Retail-&-Small-Business/569576517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-22T19:55:14.959Z,False,0,3,26,https://talenthub.vectorinstitute.ai/jobs/228136422-manager-decisioning-models-retail-small-business-at-scotiabank,https://jobs.scotiabank.com/job/Manager%2C-Decisioning-Models-Retail-&-Small-Business/569576517/,expired,2023-05-22T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +1c9e3697-f472-47ef-8555-3bb55c7116dc,232857664,RBC,Director Data Strategy and Governance,on_site,"Toronto, ON, Canada",2023-06-05T15:47:03.248Z,"
                    +

                    Come Work with Us!

                    At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                    Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                    +

                    Job Title

                    Director Data Strategy and Governance

                    -

                    Our mission is to build the PC Bank Payment & Rewards Data Platform, which would serve as an integrated data platform to perform complex big-data processing, advanced analytics, and machine learning. The Data Engineer position is a fantastic opportunity to join our expanding PC Bank Payment & Rewards Engineering team.

                    +

                    Job Description

                    +

                    What is the Opportunity?

                    +

                    RBC Capital Markets is undertaking a green field project to build a new capability to serve corporate clients.

                    -

                    The Data Engineering team is looking for passionate engineers working in a fast-paced organization using Agile/Scrum methodology to deliver excellent solutions for our demanding customer service, operations requirements, and resolving the engineering challenges of building robust and scalable data systems aligned to enterprise data strategy.

                    +

                    Your role will be to use your deep knowledge of data, combined with your understanding of client and business needs to create the business context to bring our data to life for the US Cash Management team and clients alike. You are a thoughtful, proactive, creative, analytical individual with a passion for solving problems for your colleagues and clients through the use of data.

                    -

                    You will participate in defining technical solutions, code architectures, and will be responsible for developing and delivering production-ready code. The ideal candidate will be someone who genuinely enjoys problem-solving and writing high-quality code to build robust, highly distributed, and scalable data processing systems and pipelines. Some of the challenges the candidate would tackle are:

                    -
                      -
                    • Design, implement and operate PC Bank’s core datasets that have extreme requirements on scalability, reliability, maintainability, flexibility, auditability, and quality
                    • -
                    • Design large scale streaming and batch data pipelines (billions of data points) that involve analyzing transactions over a long period without reprocessing vast amounts of data
                    • -
                    • Perform data profiling and source to target mapping analysis for the best design
                    • -
                    • -Collaborate with business solution analysts, other engineers, solution architects, and other team members to innovate and evolve our datasets to data products to create a single coherent platform with sources of truth that serve a plethora of stakeholders within PC Bank
                    • -
                    -

                    What you’ll do:

                    -
                      -
                    • Apply your expertise in data and software engineering to design and implement data products that meet extreme requirements on scalability, reliability, maintainability, flexibility, auditability, and quality
                    • -
                    • Be T-Shaped. Your primary area is data engineering, but you are comfortable working in a secondary area of expertise such as data presentation/visualization, backend engineering, or data modeling (SQL, NoSQL, Graph & Time-series)
                    • -
                    • Work closely with cross-functional teams of data, backend and frontend engineers, product owners, technical product owners, and technical support personnel
                    • -
                    • Gaining technical expertise in building a data platform at scale to solve business, product, and technical use cases
                    • -
                    • Getting hands-on experience with technologies such as Elasticsearch, Apache Airflow, Apache Kafka, Apache Beam, Apache Spark, Hive, HDFS, Kubernetes (Openshift)
                    • -
                    • -Getting hands-on experience with Google Cloud Platform and technologies such as BigQuery, Cloud Composer, Pub/Sub, Dataflow, Dataproc, GCS, Looker, and other cloud-native offerings in GCP
                    • -
                    -

                    Who you are:

                    +

                    What will you do?

                      -
                    • An undergraduate or Master’s degree in Computer Science or equivalent engineering experience
                    • -
                    • 2+ years of professional software engineering and programming experience (Java, Python) with a focus on designing and developing complex data-intensive applications
                    • -
                    • Familiarity with architecture and design (patterns, reliability, scalability, quality) of complex systems
                    • -
                    • Advanced coding skills and practices (concurrency, distributed systems, functional principles, performance optimization)
                    • -
                    • Professional experience working in an agile environment
                    • -
                    • Strong analytical and problem-solving ability
                    • -
                    • Strong written and verbal communication skills
                    • -
                    • Experience in operating and maintaining production-grade software
                    • +
                    • Develop and drive implementation of the overall Data Strategy for the Business
                    • +
                    • Collaborate with Technology on the build of the foundational data layer including data infrastructure and provide business requirements and direction
                    • +
                    • Work with Business and IT partners to define strategic and tactical data requirements of the organization to fulfill business needs.
                    • -Comfortable with tackling very loosely defined problems and thrive when working on a team which has autonomy in their day to day decisions
                    • -
                    -

                    Preferred Skills:

                    -
                      -
                    • Knowledge of software and data engineering best practices
                    • -
                    • Experience with large scale distributed data technologies and tools
                    • -
                    • Experience pulling data from a variety of data source types including Mainframe (EBCDIC), Fixed Length and delimited files, databases (SQL, NoSQL, Time-series)
                    • -
                    • Strong coding skills for analytics and data engineering (Java, Python, and Scala)
                    • -
                    • Experience performing analysis with large datasets in a cloud-based environment, preferably with an understanding of Google’s Cloud Platform (GCP)
                    • -
                    • Understands how to translate business requirements to technical architectures and designs
                    • -
                    • Comfortable communicating with various stakeholders (technical and non-technical)
                    • -
                    -

                    -

                    Nice to have Skills (though not required):

                    -
                      -
                    • Exposure to data-science or machine-learning packages (Pandas, Pytorch, Keras, TensorFlow, etc...)
                    • -
                    • Contributions to open-source software (code, docs, or mailing list posts)
                    • -
                    • GCP Professional Data Engineer Certification
                    • -
                    • Confluent Certified Developer for Kafka
                    • -
                    -

                    -

                    COVID-19 is a serious condition and has had a devastating impact on Canadians and others across the globe. As a leading Health and Wellness provider for millions of Canadians, our goal is to help all Canadians ""Live Life Well"". ​

                    -

                    -

                    In support of this goal, we have adopted a COVID-19 Vaccination Policy to protect the health and well-being of our employees as we continue our phased approach of office reopening. Employees will be required either to be fully vaccinated or undergo regular COVID-19 Rapid Antigen Screening in order to access the workplace.

                    -

                    -

                    -

                    Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

                    -

                    -

                    -

                    Number of Openings:

                    0

                    -

                    -

                    PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

                    -

                    -

                    In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                    -

                    -

                    -

                    Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                    -
                    ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Data-Engineer_R2000234469?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-06-28T17:35:51.613Z,False,0,17,74,https://talenthub.vectorinstitute.ai/jobs/230064182-data-engineer-at-loblaw-companies-ltd,,expired,2023-05-28T15:41:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Associate,Bachelors Degree,New Posting, -322ccd2b-6c78-49c1-98fc-f609fd410822,222285659,BMO Financial Group,"Senior Analyst, Quantitative Analysis and Strategy",on_site,"Ontario, Canada",2023-05-04T17:12:01.669Z,"
                    -

                    Application Deadline:

                    05/11/2023

                    -

                    -

                    Address:

                    100 King Street West

                    -

                    -

                    Job Family Group:

                    Data Analytics & Reporting

                    -

                    -

                    -

                    -

                    Applies knowledge of advanced analytic algorithms and technologies to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups.

                    -
                      -
                    • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • -
                    • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                    • -
                    • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
                    • -
                    • Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
                    • -
                    • Applies scripting / programming skills to assemble various types of source data into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                    • -
                    • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., Analytical solutions, mathematical models, algorithms, machine learning, deep learning) to test, verify, refine hypotheses.
                    • -
                    • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                    • -
                    • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                    • -
                    • Performs experimental design approaches to validate finding or test hypotheses.
                    • -
                    • Uses the appropriate algorithms to discover patterns.
                    • -
                    • Builds effective relationships with internal/external stakeholders and ensures alignment.
                    • -
                    • Supports development of tools and delivers training for data analytics and AI.
                    • -
                    • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • -
                    • Leads/participates in the design, implementation and management of core business/group processes.
                    • -
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                    • -
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • -
                    • Works independently on a range of complex tasks, which may include unique situations.
                    • -
                    • Broader work or accountabilities may be assigned as needed.
                    • -
                    -

                    Qualifications:

                    -
                      -
                    • Post-secondary degree in related field of study is preferred.
                    • -
                    • Knowledge of visualization techniques and concepts (e.g. PowerBI, Tableau).
                    • -
                    • Experience with programming languages (e.g. SQL, Python, SAS) and machine learning /deep learning algorithms/packages.
                    • -
                    • Experience in statistical analysis, data mining, and data cleansing / transformation.
                    • -
                    • Technical proficiency gained through education and/or business experience.
                    • -
                    • Verbal & written communication skills - In-depth.
                    • -
                    • Collaboration & team skills - In-depth.
                    • -
                    • Analytical and problem solving skills - In-depth.
                    • -
                    • Influence skills - In-depth.
                    • -
                    • Data driven decision making - In-depth.
                    • -
                    -

                    -

                    Additional Job Description

                    -

                    -

                    The Quantitative Analysis and Strategy (QAS) team works closely with our partners within Corporate Treasury i.e. Structural Market Risk, Liquidity & Funding and Portfolio Management teams, and our Lines of Business partners across the bank. The team works to identify and quantify risks and opportunities through analyzing and modeling origination, utilization, prepayment behavior, pricing sensitivities, market size and revenue opportunities. The analysis and modeling work in the areas of mortgage, home equity, C&I and CRE loans, consumer & commercial deposits, various securities including MBS, ABS, Muni bonds, etc. are instrumental in pricing, valuation, interest rate risk measurement and hedging, balance sheet management and optimization strategies.

                    -

                    -

                    The Senior Analyst, Quantitative Analysis and Strategy in Corporate Treasury is ideal for one who wants to work on developing, enhancing, implementing and maintaining quantitative models and analytics suites. They would do so by using conventional econometric and machine learning techniques, for the purposes of asset liability and interest rate risk management, customer analytics, profitability, and stress testing under various macro-economic scenarios. This involves analyzing large account-level and transaction-level data, articulating the problem statement, and specifying the most appropriate quantitative solution.

                    -

                    -

                    New grads with demonstrable problem solving and critical thinking skills will be considered.

                    -

                    -

                    -

                    We’re here to help

                    -

                    -

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    -

                    -

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    -

                    -

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    -

                    -

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    -

                    -

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    -
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Analyst--Quantitative-Analysis-and-Strategy_R230005853?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-05-08T20:37:00.000Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/222285659-senior-analyst-quantitative-analysis-and-strategy-at-bmo-financial-group,,expired,2023-05-04T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -a97403ab-4e6b-47ec-84aa-8f0a7f0c3ce9,213971485,BMO Financial Group,"Manager, Audit Data Analytics Developer",on_site,"Ontario, Canada",2023-04-10T17:12:01.758Z,"
                    -

                    Application Deadline:

                    06/29/2023

                    -

                    -

                    Address:

                    55 Bloor Street West

                    -

                    -

                    Job Family Group:

                    Data Analytics & Reporting

                    -

                    -

                    -

                    -

                    Consults on and develop analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Supports the Audit function with analytics and automation of recurring analytics. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools. Banking/Financial service experience AND strong Python skill desired for this role.

                    -
                      -
                    • Acts as a trusted advisor to assigned business/group.
                    • -
                    • Leads the design, development, and implementation of analytic solutions.
                    • -
                    • Identifies emerging issues and trends to inform decision-making.
                    • -
                    • Recommends and implements solutions based on analysis of issues and implications for the business
                    • -
                    • Ensures alignment between stakeholders about business needs and data needs.
                    • -
                    • Ensures alignment between stakeholders about business needs and data needs.
                    • -
                    • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                    • -
                    • Designs, develops, and implements innovative analytical solutions.
                    • -
                    • Designs and produces regular and ad-hoc reports, and dashboards.
                    • -
                    • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                    • -
                    • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                    • -
                    • Cleanses, manipulates, and transforms data through programming / scripting for model training and validation.
                    • -
                    • Automates validation tests to improve quality and efficiency of the validation process.
                    • -
                    • Validates and tests models used in analytics and reporting to assess/address performance and compliance.
                    • -
                    • Conducts various pre-implementation and post-implementation analyses to estimate/measure business impact caused by model adoption (e.g., revenue increase, cost reduction, corporate brand image).
                    • -
                    • Promotes reporting automation, self-serve analytics consumption, and the culture of analytics-driven decision making.
                    • -
                    • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                    • -
                    • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                    • -
                    • Designs, develops, and implements innovative analytical solutions.
                    • -
                    • Designs and produces regular and ad-hoc reports, and dashboards.
                    • -
                    • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                    • -
                    • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • -
                    • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                    • -
                    • Analyzes data and information to provide subject-matter insights and recommendations.
                    • -
                    • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                    • -
                    • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                    • -
                    • Builds effective relationships with internal/external stakeholders.
                    • -
                    • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                    • -
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                    • -
                    • Provides specialized consulting, analytical and technical support.
                    • -
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • -
                    • Works independently and regularly handles non-routine situations.
                    • -
                    • Broader work or accountabilities may be assigned as needed.
                    • -
                    -

                    Qualifications:

                    -
                      -
                    • 3-7 years of relevant experience and post-secondary degree in Commerce / Engineering / Computer Science or related field of study or an equivalent combination of education and experience.
                    • -
                    • Knowledge and experience in data processing , data analysis, data analytics, statistical tool sets and/or software/web/automation development including but not limited to SQL, Python, SAS, Power BI, Spotfire, Tableau, AWS, Hadoop, Netezza and SQL Server - In-depth.
                    • -
                    • Deep knowledge and technical proficiency gained through extensive education and business experience.
                    • -
                    • Verbal & written communication skills - In-depth.
                    • -
                    • Collaboration & team skills - In-depth.
                    • -
                    • Analytical and problem solving skills - In-depth.
                    • -
                    • Influence skills - In-depth.
                    • -
                    • Data driven decision making - In-depth.
                    • -
                    -

                    -

                    -

                    We’re here to help

                    -

                    -

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    -

                    -

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    -

                    -

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    -

                    -

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    -

                    -

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    -
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Audit-Data-Analytics-Developer_R230006521?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-05-10T18:47:52.225Z,False,0,4,10,https://talenthub.vectorinstitute.ai/jobs/213971485-manager-audit-data-analytics-developer-at-bmo-financial-group,,expired,2023-04-10T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -e4ed438a-094f-4343-9056-607d096d52c0,221072049,CIBC,"Director, Treasury Quantitative Analytics",on_site,"Ontario, Canada",2023-05-01T17:06:01.820Z,"
                    -

                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                    -

                    -

                    At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                    -

                    -

                    To learn more about CIBC, please visit CIBC.com

                    -

                    -

                    Job Description

                    -

                    -

                    What You’ll Be Doing

                    -

                    -

                    Treasury Analytics supports the senior Treasury leadership team in establishing the analytical and systems framework to measure, model, and optimize retail product risks and customer behavior. This support consists of pricing new and existing retail banking products, forecasting P/L, and transfer pricing the interest-rate and optionality risk from retail SBU’s into Treasury for hedging. Treasury Analytics also manages the customer behavior risk to optimally maintain minimal customer behavior risk in the Canadian Retail Balance Sheet.

                    -

                    -

                    As the Director, Treasury Analytics, you will support Senior Directors to evolve and expand the mandate of Treasury Analytics, providing strategy and leading the management of individual cashflow modeling programs. You will drive insights, identify inherent risk drivers of consumer products and relate relate modeling risk specifications back to the business. This requires the ability to think critically, dive into the underlying mechananics of the specific problems and translate complex concepts into program enhancements and specification to Technology for development. This is a high visibility role where the Director must effectively communicate complex problems and solutions to senior treasury executives and LOB.

                    -

                    -

                    Additionally, you will maintain/enhance the analytics infrastructure developed in Treasury Analytics used to conduct analysis of how consumer behavior affects retail product cash-flows and the use of embedded options; to assist in developing business requirements; to assist in appling advanced statistical models and financial engineering techniques to quantify and ensure mimimal consumer behaviour risk. You will also assist in implementing/applying advanced analytics for optimization, reporting, P/L decomp and back-testing, and risk factor simulation and to interpret and explain any resulting output. This is a unique opportunity that involves leadership and development of the Treasury Analytics functions and expansion of mandates.

                    -

                    -

                    At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                    -

                    -

                    How You’ll Succeed

                    -
                      -
                    • Management and Enhancement of Cash-Flow Modeling Books - Leadership role to specify and model the retail risk representation in the cashflow modeling book (CFMB). This includes working with the LOB to understand any behavioural changes and strategic thinking to evolve the program to effectively model and hedge risk. Liase with Treasury CFO group to interpret and explain cash-flow modeling P/L variability. Enhancing PnL decomposition and signing off on daily cash-flow modeling P/L.

                    • -
                    • Financial/Derivative Analytics - Ensure pricing and risk analytics capture all hedge-able risks as is practical. This will include work to prototype pricing and hedge of fixed income derivatives. Maintain/Develop analytics/methodologies for transfer pricing new retail products, assess new and existing retail product profitability, and cash-flow modeling book.

                    • -
                    • Consumer Behavior Analytics - Apply customer behaviour calibration techniques for Treasury Analytics’ parameter review. Incorporate consumer behavior models into the funds transfer pricing and hedging processes. Collaborate in the development, continuous improvement and ongoing expansion of an analytics library with appropriate tools, models and techniques for modeling of customer behaviour and interest rate risks.

                    • -
                    • Systems and Support (Infrastructure) - Lead development and implementation of various strategic business initiatives. This includes liaise with various groups within CIBC to explain methodologies, and procedures developed within Treasury Analytics to assess analytic/data requirements for future business activities and resolve any issues which arise. Lead the maintenance of pricing, risk and mathematical analytics library supporting integration across all Treasury systems that are used for Bank-wide benchmarking to validate pricing or risk. This will ensure consistency of risk measures across different risk platforms and measures and mitigate model risk.

                    • -
                    • Quantitative Analysis - Lead the implementation of sophisticated mathematical modeling, processes or algorithms to conduct analysis. Ensure operational effectiveness to deliver analytics capabilities, ensuring that outputs are correct and reproducible, and proper documentation to explain methods.

                    • -
                    -

                    -

                    Who You Are

                    -
                      -
                    • You can demonstrate experience. In ALM, Product Analytics, and Risk Management with a bank and/or other financial institution. You have strong work experience in applied mathematical, quantitative analytics, statistical, or stochastic modeling. Strong system and quantitative programming skills using C/C++/Python/R/SQL or high-level languages. Experience in working with banking retail products such as commitments, mortgages or GICs.

                    • -
                    • It’s an asset. Experience in quantitative analytics with a bank and/or other financial institution in areas of valuation, hedging and risk measurement is a strong asset. Exposure to valuation and risk metrics of various interest rate derivatives will be an asset.

                    • -
                    • You can demonstrate knowledge. In financial economics, financial mathematics such as fixed income theory, statistics, treasury processes, risk management and balance sheet modeling techniques. You have strong theoretical understanding of financial economics, financial mathematics, statistics, risk management and option modeling techniques. Ability to express modeling insights with an aptitude for explaining PnL and risk drivers. Experience in advanced GLM (including Cox regression), panel time series and model selection.

                    • -
                    • You have a degree/diploma. Masters/Doctoral degree in mathematics, computer science, quantitative finance, engineering, statistics and/or related technical subject.

                    • -
                    • You’re goal oriented. You’re motivated by accomplishing your goals and delivering your best to make a difference.

                    • -
                    • You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way. Ability to express modeling insights with an aptitude for explaining PnL and risk drivers. Creative problem solver and strong analytical skills.

                    • -
                    • You\'re motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.

                    • -
                    • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                    • +Drive the key initiatives of the Data team and make sure the initiatives are aligned and run smoothly +
                    • Be the Data SME and primary contact supporting the Business’ various projects, with a focus on data governance, quality, requirements and specifications.
                    • +
                    • Understand the data sources, flows, architecture, data repositories, data requirements for downstream users
                    • +
                    • Working with the Data Governance team, review and update Critical Data Element (CDEs), identifying data risks and corresponding data controls.
                    • +
                    • Review, understand and challenge the lineage of documented CDEs
                    • +
                    • Working with partners, to ensure the Business complies with data privacy policies and data protection regulations.
                    • +
                    • Supporting the data requirements for Client Statements
                    • +
                    • Keep up to date with Agile best practices
                    • +
                    • Foster a data-driven culture

                    -

                    What CIBC Offers

                    -

                    At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                    +

                    What do you need to succeed?

                    +

                    Must-have

                      -
                    • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                    • -
                    • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                    • -
                    • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                    • +
                    • 10+ years experience supporting a data initiative
                    • +
                    • Bachelor degree in Computer Science, Engineering, Technology or related field
                    • +
                    • Database development, querying and analysis tools and languages such as SQL, Oracle, Python, Data Visualization, Tableau etc
                    • +
                    • Passion for data, and commitment to learn new data capabilities
                    • +
                    • Knowledge of data governance and data management concepts such as critical data elements, data lineage, data accuracy and completeness and data controls
                    • +
                    • Understanding of technical data concepts such as data ingestion, data warehouse, data lakes, master reference data, data models, systems of record, aggregation layer and reporting systems
                    • +
                    • Experience with using Jira and Confluence
                    • +
                    • Excellent business communication skills (written and oral).
                    • +
                    • Ability to work independently and possess strong analytical and data problem-solving skills
                    • +
                    • Strong collaboration and relationship management skills
                    • +
                    • Effective time management and organizational skills to meet tight timeframes, as well as flexibility to adapt to changing priorities while assessing impact to existing work

                    -

                    What you need to know

                    +

                    What\'s in It for You?

                    +

                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                      -
                    • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                    • -
                    • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                    • +
                    • Positive work culture emphasizing diversity and inclusion, volunteerism and community involvement
                    • +
                    • A comprehensive Total Rewards Program including great benefits, annual incentive program and recognition
                    • +
                    • Leaders who support your development
                    • +
                    • A dynamic, collaborative, and high-performing team
                    • +
                    • Opportunities to do challenging work and grow your career
                    +

                    Work-life integration

                    -

                    -

                    -

                    -

                    Job Location

                    161 Bay Street, 39th Floor

                    Employment Type

                    Regular

                    -

                    Weekly Hours

                    37.5

                    Skills

                    -

                    Asset and Liability Management (ALM), Behavior Modeling, C++ Programming Language, Communication, Critical Thinking, Financial Modeling, Fixed Income Valuation, Hedging, PL/SQL (Programming Language), Product Analytics, Python (Programming Language), Risk Management, R Programming, Treasury Management
                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Director--Treasury-Quantitative-Analytics_2304779?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-05-12T17:13:00.000Z,False,0,3,17,https://talenthub.vectorinstitute.ai/jobs/221072049-director-treasury-quantitative-analytics-at-cibc,,expired,2023-05-01T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, -595eed16-909d-43bd-b4b9-55875451472f,216106315,TD Bank Group,Sr. Machine Learning Engineer ML Engine(Layer 6),on_site,"Toronto, ON",2023-04-17T17:24:03.461Z,"
                    +

                    Job Summary

                    RBC Capital Markets is undertaking a green field project to build a new capability to serve corporate clients.

                    Your role will be to use your deep knowledge of data, combined with your understanding of client and business needs to create the business context to bring our data to life for the US Cash Management team and clients alike. You are a thoughtful, proactive, creative, analytical individual with a passion for solving problems for your colleagues and clients through the use of data.

                    Address:

                    TORONTO, Ontario, Canada

                    City:

                    CAN-ON-TORONTO

                    Country:

                    Canada

                    Work hours/week:

                    37.5

                    Employment Type:

                    Full time

                    Platform:

                    Capital Markets

                    Job Type:

                    Regular

                    Pay Type:

                    Salaried

                    Posted Date:

                    2023-05-31

                    Application Deadline:

                    +
                    +

                    Inclusion and Equal Opportunity Employment

                    +

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    +
                    +

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                    +
                    ",,https://jobs.rbc.com/ca/en/job/R-0000060683/Director-Data-Strategy-and-Governance,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-06-08T15:52:03.113Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/232857664-director-data-strategy-and-governance-at-rbc,,expired,2023-06-05T15:47:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, +5ab59b85-1f53-4621-bbbc-fac8362820f7,231456699,TD Bank Group,"Manager, Analytics & Insights",on_site,"Toronto, ON",2023-06-01T15:53:02.100Z,"

                    Company Overview

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    @@ -237190,115 +245438,234 @@ e4ed438a-094f-4343-9056-607d096d52c0,221072049,CIBC,"Director, Treasury Quantita

                    Department Overview

                    -Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence.

                    Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 – Visual Relationship (winner in 2019).
                    +

                    What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                    +

                    We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                    +

                    Job Description

                    -The goal of the ML Engine team is to enable training and deploying robust and high-performing models by providing a solid foundation and allowing for fast iteration. We are looking for experienced Senior Machine Learning Engineers (engineering lead) who have worked under tight deadlines and guided teams towards successful deliveries. The ideal candidate is a master of coding and system design with track record of technical leadership. They are experts in managing complex requirements and working with big data.

                    -

                    The candidate will be the go-to person for the machine learning engine. They will lead efforts of members on the ML Frameworks team shipping core engine from 0 to 1, which will be used across the Bank. The candidate will interact with machine learning scientists, MLOps teams to develop systems that will satisfy the needs of machine learning projects.

                    -

                    What are your main responsibilities?

                    +

                    +

                    About this Role

                    +

                    You’ll manage a group of diverse, inclusive and collaborative Business Insights & Analytics Specialists, taking an integrated approach as you build relationships with business owners and internal partners in TD. With your deep knowledge of the business world, its organizational makeup and practices, you’ll develop key insights to address their rapidly growing data and information needs, business objectives and opportunities for improvement. Your team will be integral in the delivery of ongoing analytics projects as well as comprehensive ongoing support. Most importantly, your leadership inspires leadership in others, as well as the drive to execute with speed and precision and help bring TD into the future of business.

                    +

                    We are looking for someone to lead and cultivate a sizeable team of Business Insights & Analytics professionals/specialists.

                    +

                    +

                    As the Manager, Analytics & Insights you will:

                      -
                    • Own and ship a significant set of the ML engine.
                    • -
                    • Lead the design and implementation of the ML engine, including data pipelines, feature pipelines, model, inference, and production hand-off patterns.
                    • -
                    • Go-to person for machine learning engine at the bank.
                    • -
                    • Lead and mentor Machine Learning Engineers to ensure best engineering practices in our systems.
                    • +
                    • Lead and manage a sizeable team of Analyst professionals and overall operation of a diverse group in an area of moderate risk, complexity or scope
                    • +
                    • Ensure an integrated approach with other business management areas, broader organization, and enterprise as appropriate
                    • +
                    • Deep knowledge and understanding of businesses /technology, and organizational practices/disciplines
                    • +
                    • Sound to advanced knowledge of external competition, industry and/or market trends in relation to own function/business
                    • +
                    • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                    • +
                    • Manage raised client issues or priorities and contact appropriate areas to resolve or minimize business problems/issues
                    • +
                    • Apply judgement, discretion and collaborate with internal partners to navigate and resolve ambiguous issues
                    • +
                    • Oversee and lead a large and/or highly complex, and diverse reporting function for an area of significant risk, complexity or scope
                    • +
                    • Review and/or build the presentation of insights back to executive leaders/business partners to drive strategic improvement
                    • +
                    • Collaborate with business partners to shape and prioritize ad hoc analysis
                    • +
                    • Set operational team direction, working in partnership to execute on common goals
                    • +
                    • Use data systems and various sources to ensure team is equipped to formulate well-defined solutions to solve business problems
                    • +
                    • Ensure team uses knowledge of data capabilities across the organization to build and deliver on business analytics and insights
                    • +
                    • Oversee the development and ongoing analysis for a business line or functional area employing both internal and external data from various sources
                    • +
                    • Manage workload of analytics team; assigning data request to staff based on skills and development needs
                    • +
                    • Support execution with excellence on key initiatives/programs
                    • +
                    • Design effective test and learn for various programs or scenarios
                    • +
                    • Develop analytic solutions to support insight generation that align to strategy and drive shareholder value
                    • +
                    • Lead large complex analytics projects to identify opportunities to further optimize our current product suite through self-initiated insights
                    • +
                    • Present insights back to executive leaders / business partners to drive strategic improvement

                    Requirements

                    -Must-Have:

                    -

                    Bsc+ in Computer Science, Math, Physics, or similar
                    5+ years of extensive programming experience, at least 3 years of experience in ML systems.
                    3+ years experience of building machine learning systems.
                    Expert with Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Spark, Cassandra, Kafka, Elasticsearch.
                    Experience with Big Data solutions developed in large cloud computing infrastructures such as Azure and AWS
                    You value good software design and sweat over details in code and API design.
                    You enjoy learning new technology and also educating others.
                    You take great personal pride in building robust and scalable software.
                    You strive to communicate clearly and with empathy.
                    You are highly accountable and have a strong sense of ownership.
                    Ability to do detailed code reviews and give thoughtful feedback.

                    -

                    Nice to have

                    -

                    Experience building a library or a framework.
                    Comfortable with statistics.
                    Knowledge of machine learning and deep learning.
                    Knowledge of distributed systems.

                    +What can you bring to TD?
                    Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    +
                      +
                    • Undergraduate or post graduate degree within Data Analytics space or Data Analysis / reporting certificate
                    • +
                    • Seven (7) or more years relevant experience with exposure to lead a team of several members.
                    • +
                    • Extensive experience using SQL, Python and Tableau
                    • +
                    • Experience with Adobe Analytics
                    • +
                    • Great communication skills to manage relation with stakeholders.
                    • +

                    Additional Information

                    #LI-Hybrid

                    +

                    Flexible Work Options

                    +
                    N/A
                    +

                    Hours

                    37.5

                    Inclusiveness

                    -
                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.
                    +

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -
                    ",,https://jobs.td.com/en-CA/jobs/17734671/sr-machine-learning-engineer-ml-engine-layer-6-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-15T22:39:00.000Z,False,0,5,29,https://talenthub.vectorinstitute.ai/jobs/216106315-sr-machine-learning-engineer-ml-engine-layer-6-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17734671/sr-machine-learning-engineer-ml-engine-layer-6-toronto-ca/,expired,2023-04-17T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -162e733f-087c-47a4-99b9-2710f5cab04e,222298125,Sun Life Financial,"Manager, Campaign Data Design and Decision Intelligence",on_site,"Ontario, Canada",2023-05-04T17:41:03.322Z,"
                    +
                    ",,https://jobs.td.com/en-CA/jobs/18107934/manager-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-06-08T15:58:01.449Z,False,0,4,13,https://talenthub.vectorinstitute.ai/jobs/231456699-manager-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18107934/manager-analytics-insights-toronto-ca/,expired,2023-06-01T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +d2763a2d-1ebd-4912-ac45-6350b184f0c0,232594926,BenchSci,Senior Machine Learning Engineer - Computer Vision (Remote),full,"Toronto, Ontario Remote",2023-06-04T16:04:02.423Z,"
                    We are looking for a Machine Learning Engineer - Computer Vision to join our growing ML team. You will work on challenging computer vision problems to have an impact on the 31,000+ life scientists across the world who rely on BenchSci for their research. Reporting to the Engineering Manager, ML, you'll apply your domain expertise to select, train and deploy the best-suited machine learning algorithms, collaborate and experiment with scientists, and apply techniques to build solutions to shape the future of scientific discovery. You will have plenty of room for technical innovation and greenfield to explore and propose computer vision solutions to a complex area.
                    +
                    +

                    You will:

                    +
                        +
                      • Improve the performance and scalability of ML models and pipelines that are at the core of BenchSci's products
                      • +
                      • Work on different stages of the problem from prototyping to production
                      • +
                      • Contribute to key components across the machine learning ecosystem defining BenchSci's ML Technical Roadmap
                      • +
                      • Investigate what technologies that will best enable BenchSci to identify experimental insights through proof-of-concepts
                      • +
                      • Work with diverse teams to correctly capture the nuances of biology, translating them into ML objectives
                      • +
                      • Advocate for code and engineering process improvements across your team, and help define best practices
                      • +
                      • Participate in sprint planning, estimations, and reviews
                      • +
                      • Work with teammates to ensure high-quality deliverables
                      • +
                    +
                    +
                    +

                    You have:

                    +
                        +
                      • 3+ years of experience working as a professional developer, with at least 2 years of this focused on machine learning and computer vision
                      • +
                      • A Bachelor's or Master's degree in Computer Science, Mathematics, or other related disciplines
                      • +
                      • Excellent software engineering skills in Python
                      • +
                      • Comprehensive knowledge in the end-to-end machine learning lifecycle, including the nuances of the infrastructure and operationsExperience with ML and/or Computer Vision fundamentals
                      • +
                      • Experience productionizing ML models Experience with PyTorch, TensorFlow, Scikit-learn, and image processing libraries such as OpenCV and Scikit-image
                      • +
                      • Experience with distributed and cloud-based data processing frameworks such as Apache Spark or Apache Beam
                      • +
                      • A constant desire to develop
                      • +
                      • A team player who strives to see teammates succeed together
                      • +
                    +
                    +
                    +

                    +

                    +
                    Benefits and Perks:
                    +
                    An engaging remote-first culture
                    +
                    A great compensation package that includes BenchSci equity options
                    +
                    15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
                    +
                    Unlimited flex time for sick days, personal days, religious holidays
                    +
                    Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
                    +
                    A $2000 CAD* Annual Learning & Development budget
                    +
                    A $1000 CAD* home office set-up budget
                    +
                    A $2500 CAD*wellness, lifestyle and productivity spending account for employees
                    +
                    Generous parental leave benefits with a top-up plan or paid time off options
                    +
                    *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.
                    +

                    +
                    About BenchSci:
                    +
                    BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                    +
                    Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                    +

                    +
                    Our Culture:
                    +
                    BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                    +
                    We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                    +
                    You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
                    +

                    +
                    +Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
                    +

                    +
                    +Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
                    +

                    +
                    #LI-Remote
                    +
                    ",,https://jobs.lever.co/benchsci/eb96b026-f9d6-4e6a-801f-0c618f2845c8?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-06-08T16:09:03.006Z,False,0,3,11,https://talenthub.vectorinstitute.ai/jobs/232594926-senior-machine-learning-engineer-computer-vision-remote-at-benchsci,https://jobs.lever.co/benchsci/eb96b026-f9d6-4e6a-801f-0c618f2845c8,expired,2023-06-04T16:04:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,New Posting, +e39b4a81-beae-44e6-8134-c171d5f39d4a,230332242,Sun Life Financial,"AVP, Advanced Analytics and Business Intelligence",on_site,"Ontario, Canada",2023-05-29T16:10:02.506Z,"

                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                    Job Description:

                    Role Summary

                    -

                    Join a team that is transforming data and analytics at Sun Life Financial (SLF) Canada. Sun Life’s Client Experience Office (CXO) Analytics area is aggressively enhancing its campaign design and data integration capability with new tools, and most importantly, new talent.

                    -

                    -

                    As a Manager of CXO Campaign Design Data Analytics team, you will play a pivotal role in working closely with our business partners to enable digital engagement, understand our client needs in new ways, and ultimately enable a leading client experience. You will be hands-on in driving key technical decisions ensuring the right trade-offs are made to deliver high-quality results and deliver high, measurable value for our business partners and our Clients.

                    -

                    Sunlife is embarking on an exciting journey to adopt state of the art decision engine and you will play a pivotal role in adopting this new technology, designing and orchestrating real time decisions and creating cross channel journeys that integrate real time information, integrated with analytical models and many more such advanced capabilities.

                    +

                    Sun Life Retail Advice & Solutions (RA&S) is one of the leading financial institutions that offer Canadians holistic advice and innovative solutions including insurance, wealth and health through a team of digitally-enabled and insights-driven human advisors.

                    Reporting to the Senior Vice President Strategy & Enablement, AVP- Advanced Analytics & Business Intelligence (BI) will be responsible for the developing and implementing data analytics strategy to enable RA&S in achieving sustainable competitive advantage, growth and profitability. The successful candidate will work in a fast-paced and dynamic environment with a focus on leading advanced analytics initiatives and business intelligence to enable RA&S to stay in the forefront of competitor actions and market developments.

                    What will you do?

                    +
                    • +

                      Data Analytics strategy development and execution

                      +
                        +
                      • Develop data analytics strategy that enables business medium-term strategy to create sustainable growth

                      • +
                      • Implement data analytics strategy by adapting and / or transforming existing data engineering, business intelligence, and advanced analytics functions

                      • +
                      • Partner with CXO Data Analytics team to align with overall Canada data analytics strategy.

                      • +
                      +
                    +
                    • +

                      Data foundation transformation

                      +
                        +
                      • Maintain existing data foundation for business intelligence, and self serve and advanced analytics

                      • +
                      • Adapt data foundation as needed to meet analytics and business intelligence needs while ensuring it is continuously operational with minimal disruption

                      • +
                      • Lead transformation initiative to migrate data foundation to a modern cloud-based environment

                      • +
                      +

                    -

                    As a People Leader, you will:

                    +
                    • +

                      Strategic insights

                        -
                      • Coach, mentor and manage 3- 4 campaign data analysts to develop a high performing, highly motivated, innovative, and engaged team of professionals.

                      • -
                      • Effectively hire, onboard, and retain talent, with a focus on sustainability and long-term development needs.

                      • -
                      • Monitor and evaluate performance by providing timely and regular feedback on personal and team goals.

                      • -
                      • Identify process gaps, efficiencies, refinements and establish new process

                      • +
                      • Identify and review strategic issues facing the business and provide analysis, decision support, and develop implementation ready strategies and tactics

                      • +
                      • Drive thought leadership in solving strategic issues using data driven approaches using data analytics

                      +

                    -

                    As a Technical Leader your responsibilities include:

                    +
                    • +

                      Business Intelligence

                        -
                      • Provide technical leadership for multiple ongoing initiatives.

                      • -
                      • Responsible for the design, and successful implementation of effective and quality solutions that resolve highly complex business problems and supports business needs.

                      • -
                      • Accountable for delivery according to pre-agreed timelines and ensure that delivery meets the integrity, quality and performance requirements.

                      • -
                      • Gather, document, and help form business requirements, key performance indicators, and other functional and technical requirements.

                      • -
                      • Interact frequently with stakeholders including interaction with marketers, analysts, web developers, content and creative designers

                      • -
                      • Gain hands-on experience working with advanced marketing automation platforms, enterprise-level data structures and complex MarTech integrations

                      • -
                      • Collaborates in an agile team to understand business objectives and develop campaign solutions that deliver best in class, engaging and highly relevant experience

                      • -
                      • Liaise with stakeholders across other teams to resolve discrepancies

                      • -
                      • Manage and execute data requests ensuring requests are aligned to business priorities and the request fulfillment meets the business needs

                      • +
                      • Run business intelligence function that supports decision making and performance management

                      • +
                      • Manage and prioritize request in-take from various stakeholders that optimize delivery across factors such as value, time-to-market, and effort

                      • +
                      • Lead efforts to democratize data analytics by creating self serve capabilities for power users to access data, conduct analysis and generate insights

                      • +
                      • Ensure business intelligence function delivers value to business stakeholders, e.g. turn complex data into easy-to-understand insights with optimized visualizations

                      +

                    -

                    What will you need to succeed?

                    +
                    • +

                      Data science and advanced analytics

                        -
                      • Bachelor’s degree in a field with a strong technical core such as Computer Science, Software engineering, Business Analytics, Engineering Science, Statistics, Math, Business Commerce or equivalent working experience

                      • -
                      • Over 6 years experience in campaign design, solution architecture, data management and a solid understanding of the data needs of marketing, campaigns and business.

                      • -
                      • Relevant experience working with one of the leading decision engines (eg SAS ID,,RTDM, FICO, IBM ODM etc)

                      • -
                      • Related work experience in Campaign execution and operations, marketing automation, digital communications, database marketing and data analysis

                      • -
                      • A minimum of 2+ years of experience as a people leader with the demonstrated ability to coach and develop talent.

                      • -
                      • 6+ years experience in data analytical role: Analytical programming languages (e.g. SAS, SQL, Python).

                      • -
                      • Knowledge of Marketing Automation platform such as Adobe Campaign, Siebel Marketing, Unica or Salesforce Pardot

                      • -
                      • Highly driven and self motivated having the ability to drive solution design in a multi system setting.

                      • -
                      • Familiarity with APIs , REST, SOAP.

                      • -
                      • Solid communication skills – have the ability to explain complexity of data to a business audience and explain the complexity of business to the IT audience

                      • -
                      • Passion to challenge the status quo, find new solutions and drive out-of-the-box ideas​.

                      • +
                      • Proactively apply data science and advanced analytics techniques to identify and address business opportunities

                      • +
                      • Lead execution of data science projects and manage coordination of project delivery across functions

                      • +
                      • Operationalize analytical models in the field by addressing technology, process and change management requirements

                      • +
                      • Collaborate with data analytics partners in Canada and ES to leverage common capabilities, tools and assets

                      +
                    +

                    +
                    • +

                      Compliance and knowledge management

                        -
                      • Believes in a non-hierarchical culture of collaboration, transparency, safety, and trust. ​

                      • -
                      • Not afraid to “roll up the sleeves” and seeks to go outside comfort zone to learn, pushing teams to do the same. ​

                      • -
                      • Empowers others to fail, learn, and grow​.

                      • -
                      • Highly collaborative and ability to work in a fast-paced and dynamic environment professionally and positively.

                      • +
                      • Implement consistent and comprehensive standards in documentation across data engineering, business intelligence and analytical models

                      • +
                      • Maintain documentation of existing data processes and models

                      • +
                      • Ensure knowledge are cross pollinated across the team to minimize key personnel knowledge risk

                      • +
                      • Ensure data and analytical processes adhere to compliance processes and data privacy policies, e.g. MEUC, PIA

                      +

                    -

                    Unique Requirements

                    +
                    • +

                      Communication and relationship management

                      +
                        +
                      • Effectively communicate key insights, ideas and strategies, to an executive level audience in a clear, compelling and concise manner

                      • +
                      • Proactively stay in touch with internal partners to maintain an understanding of new developments in their areas

                      • +
                      • Tailor both written and verbal communication based on audience and situation to maximize buy-in and establish productive working relationships

                      • +
                      +
                    +
                    • +

                      Team management and other accountabilities

                      +
                        +
                      • Lead and coach a diverse reporting team through proactive career development and continuous feedback loop

                      • +
                      • Actively promote Sun Life brand and community image to attract talent and external partners

                      • +
                      • Ensure ongoing compliance with all applicable regulatory and policy requirements

                      • +
                      +

                    -

                    Candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (http://iss-ssi.pwgsc-tpsgc.gc.ca/msi-ism/ch2-prt1-eng.html) ​

                    +

                    What will you need to succeed?

                    +
                      +
                    • Minimum of 10 years relevant business experience, ideally within insurance, wealth management or other financial services

                    • +
                    • Experience in leading advanced data analytics functions, e.g. predictive analytics, business intelligence, data engineering

                    • +
                    • Strong business and technical understanding of data and advanced analytics concepts and technology

                    • +
                    • Experience in leading high performing teams and professional knowledge workers

                    • +
                    • Experience in financial and quantitative analysis, including using modelling tools and techniques, would be an asset

                    • +
                    • University degree in business, engineering, computer science or related discipline

                    • +

                    -

                    What’s in it for you?

                    +

                    What\'s In It For You?

                    • Competitive salary and bonus structure influenced by market range data

                    • 20 days vacation per year and an innovative sabbatical program

                    • Great Place to Work® Certified in Canada and the US - 2022

                    • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                    • -
                    • Named “Best Places to Work” by Glassdoor - 2021

                    • -
                    • Canada Award for Excellence for Mental Health at Work - 2021

                    • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid #LI-Remote

                    • A friendly, collaborative and inclusive culture

                    • +
                    • Being part of our Analytics community, where we share best practices and broaden skill-sets

                    • Flexible Benefits from the day you join to meet the needs of you and your family

                    • Pension, stock and savings programs to help build and enhance your future financial security

                    • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                    +

                    The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                    @@ -237309,232 +245676,39 @@ e4ed438a-094f-4343-9056-607d096d52c0,221072049,CIBC,"Director, Treasury Quantita

                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                    -

                    Salary Range:

                    74,100/74 100 - 120,800/120 800

                    +

                    Salary Range:

                    138,100/138 100 - 218,200/218 200

                    Job Category:

                    Advanced Analytics

                    -

                    Posting End Date:

                    14/05/2023
                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Manager--Campaign-Design-and-Data-Delivery_JR00077760-1?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-05-15T22:42:00.000Z,False,0,4,25,https://talenthub.vectorinstitute.ai/jobs/222298125-manager-campaign-data-design-and-decision-intelligence-at-sun-life-financial,,expired,2023-05-04T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -4ee9e0e6-8496-4b5c-82ff-c11ebd5c3c6b,215792287,Google,"Student Researcher, MS, 2023",on_site,"Toronto, ON, Canada",2023-04-16T17:20:02.874Z,"
                    -
                    -2023-03-31T19:30:50.723Z
                    -
                      -
                    • Share
                    • -
                      Save -
                    • -

                    Student Researcher, MS, 2023

                      -
                    • Google
                    • -
                    • In-office:
                      - Waterloo, ON, Canada -
                    • -
                    • + 2 more locations
                    • -
                    -
                    -
                    -

                    Participation in this program requires that you are located in Canada for the duration of the engagement.

                    -

                    This opportunity is intended for students who are pursuing a MS degree with an anticipated graduation date after December 2024, depending on their program and unique circumstances. If you are graduating before December 2024, we encourage you to apply to the Internship openings.

                    -

                    To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English (PDFs preferred). Please ensure your anticipated graduation dates (in MM/YY) and any proficiency in coding languages are listed on resume.


                    Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Montreal, QC, Canada; Toronto, ON, Canada.

                    -
                    -

                    Qualifications

                    -

                    Minimum qualifications:

                    -
                      -
                    • Currently enrolled in a Master\'s degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences.
                      -
                    • -
                    • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, etc.).
                      -
                    • +

                      Posting End Date:

                      07/06/2023
                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/AVP--Advanced-Analytics-and-Business-Intelligence_JR00080656-1?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-06-08T16:15:03.042Z,False,0,3,27,https://talenthub.vectorinstitute.ai/jobs/230332242-avp-advanced-analytics-and-business-intelligence-at-sun-life-financial,,expired,2023-05-29T16:10:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +42eeab61-e263-413e-ac11-30254af911d4,223895804,PolyML,Data Scientist -Hybrid or Remote ,full,"Waterloo, ON, Canada",2023-05-09T21:49:01.845Z,"

                    Please note: PolyML is one of our participating employers in the upcoming Talent Meetup with Startups and Scaleups event hosted in a hybrid capacity on May 17, 2023, from 12.00-2.00 PM. Attending employers looking to meet and interview a captive audience of AI professionals who are actively seeking new opportunities now or by Fall 2023.

                    Founded in 2018, Polyalgorithm Machine Learning Inc (PolyML) is an artificial intelligence (AI) company that specializes in extracting valuable predictive insights from challenging and complex data. Our approach is deeply rooted in advanced mathematics and data science. Our technology stack is entirely proprietary, built from the ground-up and ranges from highly optimized implementations of classic methodologies to powerful and innovative tools and algorithms of our own design.

                    At PolyML we produce machine learning software. We currently have a proprietary product using a novel technique for feature importance with insights (FIINS). Our development languages are darwin (a variant of Maple) and Python.

                    We have current projects to
                    1) implement FIINS in python
                    2) build a cloud-based web app to run FIINS
                    3) design and implement new features for FIINS
                    4) develop methods for tuning FIINS for particular client needs
                    5) run FIINS for client trials.

                    We are a small, highly skilled group, so everybody is involved in everything. We are looking for someone with any or all (preferably several) of the following skills:
                    1) good understanding of machine learning, especially feature importance,
                    2) experience in Python and ability to learn new languages (Darwin),
                    3) experience with cloud-based web app development,
                    4) experience with using machine learning tools

                    ",samruddhi.hadkar@vectorinstitute.ai,,aitalent@vectorinsitute.ai,https://polyml.com/,,,2023-06-08T21:49:00.000Z,True,40,0,444,https://talenthub.vectorinstitute.ai/jobs/223895804-data-scientist-hybrid-or-remote-at-polyml,,expired,2023-05-09T21:49:00.000Z,admin,Startup (1-19),Vector Quick Apply,Software,Associate,Masters Degree,New Posting, +68f0b721-86d2-45b0-b7a0-094d880df6d9,230064336,Scotiabank,"Director, Competitive Intelligence and Product Analytics",on_site,Canada : Ontario : Toronto,2023-05-28T15:52:02.223Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 177342

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    Purpose

                    +

                    Leads the development and execution of Scotia Global Asset Management’s competitive intelligence strategy in Canada as well as product analytics function. This senior role will engage wealth management leadership, business partners, industry peers and external data and research providers to develop timely and insightful assessments of the competitive landscape, product trends and industry developments. The successful candidate is a highly motivated individual with deep understanding of the Canadian asset management landscape, extensive experience extracting, manipulating, and visualizing insights from large data sets and is comfortable presenting and debating findings to senior executives.

                    +

                    +

                    Accountabilities

                    +

                    +

                    Competitive Intelligence:

                    +
                    • Lead, motivate and coach a small team of competitive intelligence and product analytics professionals.
                    • A key member of the Scotia Global Asset Management’s Product management team. The incumbent will lead the development of high impact competitive intelligence to drive discussions, deepen industry knowledge, and influence product development and management decision making.
                    • Proactively lead the thought leadership for the Asset Management executive team on asset management product, investment trends, competitive positioning through ad-hoc and deep-dive research and provide input to help shape strategic direction for the broader business.
                    • Deepen existing and develop new senior relationships with internal stakeholders and industry partners to help shape and model competitive intelligence, augment available datasets and identify and assess emerging trends.
                    • Oversee and contribute to the production and ongoing enhancement of regular reports and analysis utilizing internal and external datasets. Dimensions include product manufacturing, asset classes, pricing, series, bundling and investment dealer shelf management. Product types cover mutual funds, ETFs, private assets. Channel/client segments span across Canadian banks, independents, private investment counsel firms and institutional asset managers.
                    • Set a high benchmark for timeliness, quality and accuracy, while proactively sourcing opportunities to automate and streamline processess to increase efficiecies and team capacity, utilizing strong financial modelling skills, database and/or Business Intelligence tools.
                    • Serve as a go-to person for industry developments, updates, insights through news sources, researches, participations or interactions with industry organizations such as IFIC, CIFSC, etc.
                    -

                    Preferred qualifications:

                    -
                      -
                    • Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
                    • -
                    • Currently attending a degree program in Canada.
                    • -
                    • Experience as a researcher, including internships, full-time, or at a lab.
                    • -
                    • Experience contributing to research communities or efforts, including publishing papers in conferences or journals.
                      -
                    • -
                    • Experience with one or more general purpose programming languages (e.g., C/C++, Java, MATLAB, Go, Python, etc.).
                      -
                    • -
                    • Ability to speak and write in English fluently.
                    • +

                      +

                      Product Analytics:

                      +
                      • Supervise the product analytics function that supports independent distribution partners with timely and insightful product analytics in order to promote positive advisor engagement and asset gathering opportunities. Analysis include product comparison, portfolio construction, simulation, as well as more complex customized requests.
                      • Oversee the utilization and implementation of Morningstar Direct and other relevant invesment analysis applications. Support internal partners with online tools, training and liase with vendors as required.
                      • Develop ad-hoc product positioning analytic reports in response to major industry developments. Participate in cross-functional teams to help deliver asset gathering strategies.
                      -
                    -
                    -
                    -

                    About the job

                    -

                    The Student Researcher Program’s primary objective is to foster academic collaborations with students through research at Google. Join us for a paid Student Researcher position that offers the opportunity to work directly with Google research scientists and engineers on cutting-edge research projects.

                    -

                    The Student Researcher Program offers more opportunities for research students to work on critical research projects at Google in a less structured way. The program allows for opportunities beyond the limitations of our traditional internship program on aspects such as duration, time commitment, and working location (with options for on-site or remote). The topics student researchers work on tend to be open-ended and exploratory, and don\'t always have a clear deliverable like a traditional internship would.

                    -

                    Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world\'s fast-paced business needs.

                    -
                    -
                    -
                    -

                    Responsibilities

                    • Participate in research to develop solutions for real-world, large-scale problems.
                    -
                    -

                    Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                    Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and Know your rights: workplace discrimination is illegal. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                    To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                    At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                    We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                    Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                    -
                    -
                    -
                    ",,"https://careers.google.com/jobs/results/139843443313517254-student-researcher-ms-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-05-16T15:56:02.182Z,False,0,18,88,https://talenthub.vectorinstitute.ai/jobs/215792287-student-researcher-ms-2023-at-google,,expired,2023-04-16T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Masters Degree,New Posting, -ed341a52-0ec8-45ba-832f-8871d047dc7f,221076250,Scotiabank,"Manager, Advanced Analytics (18 Month Contract)",on_site,Canada : Ontario : Toronto,2023-05-01T17:22:05.224Z,"

                    -

                    -

                    -

                    -

                    Requisition ID: 177054

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    -

                    JOB SUMMARY

                    -

                    -

                    GRM Retail Credit Risk aims to be an industry leader in developing innovative solutions for Retail Banking. This is accomplished using advanced analytics, agile principles and disciplined risk governance. To align with its departmental mission to modernize Credit Risk, the advance analytics team acts as an idea incubator and analytical use cases accelerator, leveraging non-traditional data, advance analytic algorithms and enterprise platforms. The team relies on retail credit risk expertise and key business partners to provide consulting services within GRM and help building the next generation of retail credit solutions at Scotiabank.

                    -

                    -

                    The Manager will work on key projects aimed at accelerating benefits for customers and the bank, leveraging enterprise-level data management toolkits. She/he will work closely with Global Risk teams, the Business lines, Digital Banking and IT to leverage data analytics to enhance retail and small business lending portfolios within risk appetite thresholds. The candidate will help identify and recommend opportunities to deliver innovative credit offers based on risk-reward framework and the GRM’s digital strategy.

                    -

                    -

                    The role requires rigorous logical thinking, curiosity, flexibility and great teamwork abilities. The candidate will be at the intersection of data engineering, math and statistics, and domain knowledge in Risk Management. She/he will participate in risk-reward strategy development to drive innovation and digital transformation throughout the Bank and Global Risk Management.

                    -

                    -

                    WHAT’S IN IT FOR YOU?

                    -

                    -
                    • Opportunity to make an impact in the digital transformation of Scotiabank
                    • Exposure to different business lines and Caribbean markets where analytics techniques are being applied
                    • Hands-on practical projects to drive innovations throughout retail credit lifecycle
                    • A compensation program with competitive salary, opportunities for annual performance incentives based on performance thresholds
                    • -
                    -

                    -

                    JOB REQUIREMENTS

                    -

                    -
                    • University or post-graduate degree in n Economics, Finance, Business, Mathematics, or Computer Science
                    • Minimum 1 years of experience in credit risk strategy design and/or retail portfolio management field
                    • Strong knowledge of retail or small business portfolio performance and credit risk measurement concepts and methodologies
                    • Ability to work with large volumes of data and proficient working experience with SQL, SAS, and Tableau
                    • Results driven mindset with a strong record of abilities to translate data and analysis to practical insights
                    • Excellent written and presentation skills to present insights and explanation to various stakeholders within the organization
                    • Experience in statistical modeling and/or big data ETL processing is an asset
                    • -
                    -

                    -

                    JOB RESPONSIBILITIES

                    -

                    -
                    • Monitor and evaluate existing credit risk strategies (e.g. credit origination, account management, collections strategies and/or other credit solutions) to identify opportunities and provide data driven recommendations to ensure the Bank remains within risk appetite
                    • Work with key stakeholders to provide data driven recommendation leveraging the Bank’s internal data infrastructure and external data (where possible). Define data requirements and provide analytical support for business proposals.
                    • Implement data driven credit strategy design with business partners; utilizing subject matter expertise to develop customer segmentation, credit limits assignment, pre-approval, and credit lifecycle strategies for retail and small business
                    • Conduct in-depth analysis to identify change in credit quality, exceptions, customer behavior and origination trends. Develop and track early-warning indicators to identify population shifts. Provide periodic recommendation for risk controls and strategy enhancement.
                    • -
                    -

                    -

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Advanced-Analytics-%2818-Month-Contract%29-ON-M5H1B6/569885117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-31T19:57:57.930Z,False,0,5,17,https://talenthub.vectorinstitute.ai/jobs/221076250-manager-advanced-analytics-18-month-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Advanced-Analytics-%2818-Month-Contract%29-ON-M5H1B6/569885117/,expired,2023-05-01T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -9cae56cc-4e07-4d48-b61f-1cf9bf7b81f3,229115262,TD Bank Group,Risk and Controls Business Oversight Analyst Intern/Co-op,on_site,"Ottawa, ON",2023-05-25T15:53:03.252Z,"
                    -

                    Company Overview

                    -
                    -

                    All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                    -

                    Why TD?

                    -

                    TD’s Colleague Promise: A better you. A better us.

                    -

                    A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                    -
                    -

                    -

                    Department Overview

                    -
                    -

                    Department Overview – Canadian Personal Banking (CPB) Operations – Shared Services provides trusted, unparalleled expertise for mission-critical shared services. We cultivate diverse, highly skilled teams that drive efficiency & create simplicity to allow our colleagues to focus on their businesses. We provide experts focus on 1. Colleague Enablement & Support 2. Command Centre, Business Insights & Planning 3. Premises Execution and National Operations 4. 1A Risk and Control Business Oversight 5. Access Management Support and 6. Resolve Customer Opstacles.

                    -

                    The 1A Risk and Control Business Oversight team is the first line of contact for businesses across CPB Operations providing leadership, expertise and oversight of highly visible activities related to Internal/External Audit reviews, Operational Risk Programs and Control Partner Engagements.

                    -

                    Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                    -

                    Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                    -
                      -
                    • Leadership talks with key Leaders from across the organization
                    • -
                    • Lunch and Learns on topics such as Innovation
                    • -
                    • Diversity and Inclusion and Personal Branding and so much more
                    • -
                    -
                    -

                    -

                    Job Description

                    -
                    -

                    This role will report to the Senior Manager of 1A Risk and Control Business Oversight, CPB Operations – Shared Services, and will be responsible for supporting the Control Partner Engagement pillar and coordinating 1B Governance and Control risk activities within CPB Operations team, including but not limited to:

                    -
                      -
                    • Supporting EUC’s/Tools inventory oversight
                    • -
                    • Assisting with regulatory control mapping and testing
                    • -
                    • Providing tracking and reporting support
                    • -
                    • Standardizing CPB Operations Controls & Procedures
                    • -
                    • External or internal Audit Exams
                    • -
                    -
                    -

                    -

                    Requirements

                    -
                      -
                    • Currently enrolled in an undergraduate degree in Finance, Accounting, Analytics, Data, Business/Commerce or related field; with the intent of going back to school at the start of your work term
                    • -
                    • Strong understanding of technology controls for internal tools.
                    • -
                    • Understanding of Control partner programs and control disciplines such as control design and process mapping.
                    • -
                    • Excellent Microsoft knowledge and experience.
                    • -
                    • Experience with Confluence and JIRA tools.
                    • -
                    • Demonstrated leadership and influencing skills
                    • -
                    • Ability to work effectively in a highly collaborative team environment
                    • -
                    • Excellent writing and verbal communication skills
                    • -
                    • Strong interpersonal and negotiation skills
                    • -
                    • Ability to deal with conflicting points of view and to effect creative and responsive solutions
                    • -
                    • Ability to assimilate and understand high volume of complex information and the ability to communicate in a concise and simple manner
                    • -
                    • Ability to work in a fast-paced environment and manage multiple deadlines and priorities
                    • -
                    • Previous experience in Governance and Control, Compliance, AML, Privacy, Operational Risk Management or Audit is an asset.
                    • -
                    -

                    -

                    Additional Information

                    -
                      -
                    • This position is a 4-month work term and will commence September 5th – December 22nd 2023.
                    • -
                    • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                    • -
                    • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                    • -
                    • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                    • -
                    • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
                    • -
                    -

                    -

                    Start Date

                    -
                    – Fall
                    -

                    -

                    Inclusiveness

                    -

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -

                    -
                    ",,https://jobs.td.com/en-CA/jobs/18325530/risk-and-controls-business-oversight-analyst-intern-co-op-ottawa-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-06-01T15:58:02.233Z,False,0,3,8,https://talenthub.vectorinstitute.ai/jobs/229115262-risk-and-controls-business-oversight-analyst-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18325530/risk-and-controls-business-oversight-analyst-intern-co-op-ottawa-ca/,expired,2023-05-25T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -eeaba424-3dcb-411a-abca-c28b35e20b21,226981545,BMO Financial Group,"Report Analyst, VBA and Data Visualization software- HYBRID",on_site,"Ontario, Canada",2023-05-18T15:39:01.640Z,"
                    -

                    Application Deadline:

                    05/29/2023

                    -

                    -

                    Address:

                    250 Yonge Street

                    -

                    -

                    Job Family Group:

                    Data Analytics & Reporting

                    -

                    -

                    This is a critical role n supporting our business partners with reporting, analytical and production activity support. This role supports our primary partners within TORIC (Technology and Operations Risk and Internal Controls) division as well as Technology and Operations (T&O) and BMO Nesbitt Burns branch network. It also provides critical support with Power BI reporting, Authority Process Support, GEMS BAU as well as the opportunity to lead on training reporting and other initiatives. You will be supporting the development of BMO\'s CO-OP students and BMO Interns and provides the candidate the opportunity to gain leadership skills, strong organizational skills and building of partner relationships.

                    -

                    -

                    Key Priorities/duties:

                    -
                      -
                    • Governance, Risk and Compliance Dashboard support using Power BI

                    • -
                    • Support of various Authorization Lists for T&O & BMO Nesbitt Burns branch network using Power Apps, PDF Forms and SharePoint or other like programs

                    • -
                    -

                    -

                    This is a HYBRID role based in the Greater Toronto area.

                    -

                    -

                    -

                    Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                    -
                      -
                    • Builds effective relationships with internal/external stakeholders.
                    • -
                    • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                    • -
                    • Designs, develops, and implements innovative analytical solutions.
                    • -
                    • Designs and produces regular and ad-hoc reports, and dashboards.
                    • -
                    • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                    • -
                    • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                    • -
                    • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                    • -
                    • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                    • -
                    • Designs, develops, and implements innovative analytical solutions.
                    • -
                    • Designs and produces regular and ad-hoc reports, and dashboards.
                    • -
                    • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                    • -
                    • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • -
                    • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                    • -
                    • Analyzes data and information to provide subject-matter insights and recommendations.
                    • -
                    • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                    • -
                    • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                    • -
                    • Builds effective relationships with internal/external stakeholders.
                    • -
                    • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                    • -
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                    • -
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • -
                    • Works independently on a range of complex tasks, which may include unique situations.
                    • -
                    • Broader work or accountabilities may be assigned as needed.
                    • -
                    -

                    -

                    SKILLS and Qualifications:

                    -
                      -
                    • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                    • -
                    • MUST HAVE VBA (At least 3 years desired)
                    • -
                    • MUST HAVE experience with Power BI, Spotfire, or Tableau ( At least 1-2 years desired)
                    • -
                    • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Very good.
                    • -
                    • Technical proficiency gained through education and/or business experience.
                    • -
                    • Verbal & written communication skills - In-depth.
                    • -
                    • Collaboration & team skills - In-depth.
                    • -
                    • Analytical and problem solving skills - In-depth.
                    • -
                    • Influence skills - In-depth.
                    • -
                    • Data driven decision making - In-depth.
                    • -
                    -

                    -

                    -

                    We’re here to help

                    -

                    -

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    -

                    -

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    -

                    -

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    -

                    -

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    -

                    -

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    -
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Report-Analyst--VBA-and-Data-Visualization-software--HYBRID_R230006641?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-06-01T15:44:02.800Z,False,0,3,11,https://talenthub.vectorinstitute.ai/jobs/226981545-report-analyst-vba-and-data-visualization-software-hybrid-at-bmo-financial-group,,expired,2023-05-18T15:39:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +

                    +
                    • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                    • Creates an environment in which his/her team pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                    • Builds a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team.
                    • +
                    +

                    +

                    Education/Experience

                    +

                    +
                    • University degree. CFA and/or MBA would be an asset.
                    • Thorough understanding of the investment industry with more than 10 years of related experience preferably in competitive intelligence and product analytics roles. Strong wealth distribution channel knowledge.
                    • A lifelong student of the asset management industry with demonstrated interest in competitive trends, product strategy and financial markets. You are highly curious and have a desire to continuously deepen industry knowledge and business impact.
                    • Technically savvy, with well-developed understanding of data analytics, with extensive experience using various data and research platforms such as Morningstar Direct, Bloomberg, SimFund and Investor Economics.
                    • A big picture thinker with the ability to support a culture of continuous improvement and data-driven decision making. You embrace technology to improve the quality, quantity and reliability of reporting, insights and recommendations to empower business decisions.
                    • A natural collaborator with strong relationship management skills and a comfort with presenting research findings to senior leaders.
                    • A high degree of proficiency using Microsoft Office suite, with advanced MS Excel modelling and PowerPoint skills. Excellent writing skills with the ability to synthesize large datasets and extensive analysis into persuasive insights and informed recommendations.
                    • Self-motivated, with a high degree of accountability. You thrive in a team environment, have a focus on continuous improvement and experience leading and motivating a team of direct reports.
                    • +
                    +

                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Director%2C-Competitive-Intelligence-and-Product-Analytics-ON-M5H-0B4/569832817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-15T15:57:04.299Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/230064336-director-competitive-intelligence-and-product-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Director%2C-Competitive-Intelligence-and-Product-Analytics-ON-M5H-0B4/569832817/,expired,2023-05-28T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, 4b7d9b66-7bfb-4404-b99e-3c040125b460,226183788,TD Bank Group,Sr Business Info Mgmt Analyst,on_site,"Toronto, ON",2023-05-16T15:53:05.789Z,"

                    Company Overview

                    @@ -237595,35 +245769,6 @@ eeaba424-3dcb-411a-abca-c28b35e20b21,226981545,BMO Financial Group,"Report Analy

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    ",,https://jobs.td.com/en-CA/jobs/18359066/sr-business-info-mgmt-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-06-15T20:32:42.499Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/226183788-sr-business-info-mgmt-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18359066/sr-business-info-mgmt-analyst-toronto-ca/,expired,2023-05-16T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -68f0b721-86d2-45b0-b7a0-094d880df6d9,230064336,Scotiabank,"Director, Competitive Intelligence and Product Analytics",on_site,Canada : Ontario : Toronto,2023-05-28T15:52:02.223Z,"

                    -

                    -

                    -

                    -

                    Requisition ID: 177342

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    -

                    Purpose

                    -

                    Leads the development and execution of Scotia Global Asset Management’s competitive intelligence strategy in Canada as well as product analytics function. This senior role will engage wealth management leadership, business partners, industry peers and external data and research providers to develop timely and insightful assessments of the competitive landscape, product trends and industry developments. The successful candidate is a highly motivated individual with deep understanding of the Canadian asset management landscape, extensive experience extracting, manipulating, and visualizing insights from large data sets and is comfortable presenting and debating findings to senior executives.

                    -

                    -

                    Accountabilities

                    -

                    -

                    Competitive Intelligence:

                    -
                    • Lead, motivate and coach a small team of competitive intelligence and product analytics professionals.
                    • A key member of the Scotia Global Asset Management’s Product management team. The incumbent will lead the development of high impact competitive intelligence to drive discussions, deepen industry knowledge, and influence product development and management decision making.
                    • Proactively lead the thought leadership for the Asset Management executive team on asset management product, investment trends, competitive positioning through ad-hoc and deep-dive research and provide input to help shape strategic direction for the broader business.
                    • Deepen existing and develop new senior relationships with internal stakeholders and industry partners to help shape and model competitive intelligence, augment available datasets and identify and assess emerging trends.
                    • Oversee and contribute to the production and ongoing enhancement of regular reports and analysis utilizing internal and external datasets. Dimensions include product manufacturing, asset classes, pricing, series, bundling and investment dealer shelf management. Product types cover mutual funds, ETFs, private assets. Channel/client segments span across Canadian banks, independents, private investment counsel firms and institutional asset managers.
                    • Set a high benchmark for timeliness, quality and accuracy, while proactively sourcing opportunities to automate and streamline processess to increase efficiecies and team capacity, utilizing strong financial modelling skills, database and/or Business Intelligence tools.
                    • Serve as a go-to person for industry developments, updates, insights through news sources, researches, participations or interactions with industry organizations such as IFIC, CIFSC, etc.
                    • -
                    -

                    -

                    Product Analytics:

                    -
                    • Supervise the product analytics function that supports independent distribution partners with timely and insightful product analytics in order to promote positive advisor engagement and asset gathering opportunities. Analysis include product comparison, portfolio construction, simulation, as well as more complex customized requests.
                    • Oversee the utilization and implementation of Morningstar Direct and other relevant invesment analysis applications. Support internal partners with online tools, training and liase with vendors as required.
                    • Develop ad-hoc product positioning analytic reports in response to major industry developments. Participate in cross-functional teams to help deliver asset gathering strategies.
                    • -
                    -

                    -
                    • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                    • Creates an environment in which his/her team pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                    • Builds a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team.
                    • -
                    -

                    -

                    Education/Experience

                    -

                    -
                    • University degree. CFA and/or MBA would be an asset.
                    • Thorough understanding of the investment industry with more than 10 years of related experience preferably in competitive intelligence and product analytics roles. Strong wealth distribution channel knowledge.
                    • A lifelong student of the asset management industry with demonstrated interest in competitive trends, product strategy and financial markets. You are highly curious and have a desire to continuously deepen industry knowledge and business impact.
                    • Technically savvy, with well-developed understanding of data analytics, with extensive experience using various data and research platforms such as Morningstar Direct, Bloomberg, SimFund and Investor Economics.
                    • A big picture thinker with the ability to support a culture of continuous improvement and data-driven decision making. You embrace technology to improve the quality, quantity and reliability of reporting, insights and recommendations to empower business decisions.
                    • A natural collaborator with strong relationship management skills and a comfort with presenting research findings to senior leaders.
                    • A high degree of proficiency using Microsoft Office suite, with advanced MS Excel modelling and PowerPoint skills. Excellent writing skills with the ability to synthesize large datasets and extensive analysis into persuasive insights and informed recommendations.
                    • Self-motivated, with a high degree of accountability. You thrive in a team environment, have a focus on continuous improvement and experience leading and motivating a team of direct reports.
                    • -
                    -

                    -

                    -

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Director%2C-Competitive-Intelligence-and-Product-Analytics-ON-M5H-0B4/569832817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-15T15:57:04.299Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/230064336-director-competitive-intelligence-and-product-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Director%2C-Competitive-Intelligence-and-Product-Analytics-ON-M5H-0B4/569832817/,expired,2023-05-28T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, e0a120ac-0cef-4593-925c-9ee5de94fd7a,235579216,NVIDIA,Senior DevOps Engineer,on_site,"Ontario, Canada",2023-06-12T16:15:02.765Z,"

                    For more than two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With a rare focus on this field, we offer specialized platforms for the gaming, professional visualization, data center and automotive markets. Our work is at the center of the most consequential mega-trends in technology - virtual reality, artificial intelligence and self-driving - and there has never been a more exciting time to join our team! Among other internal services, we develop and operate a global testing platform. We’re looking for a new team member who will help us to support and improve our platform, build solid automation and orchestration, improve monitoring.

                    @@ -237665,134 +245810,82 @@ e0a120ac-0cef-4593-925c-9ee5de94fd7a,235579216,NVIDIA,Senior DevOps Engineer,on_

                    ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Armenia-Yerevan/Senior-DevOps-Engineer_JR1966523,feed-importer@jobboard.io,,,,2023-06-16T02:23:02.313Z,False,0,3,21,https://talenthub.vectorinstitute.ai/jobs/235579216-senior-devops-engineer-at-nvidia,,expired,2023-06-12T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Product Development),Mid-Senior Level,Bachelors Degree,New Posting, -f1b3b6e4-ae68-459d-ac6b-adba62a499bb,228798609,TD Bank Group,Senior Business Insights Analyst,on_site,"Toronto, ON",2023-05-24T15:53:04.313Z,"
                    -

                    Company Overview

                    -
                    -

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    -

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    -
                    -

                    -

                    Department Overview

                    -

                    What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.
                    The TD Insurance Data & Insights group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization.
                    This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise.
                    Joining us in TD Insurance Data & Insights is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                    -

                    -

                    Job Description

                    -
                    -

                    Are you a big picture thinker? Fantastic! This is exactly the kind of thinking TD needs when it comes to our business intelligence support and analytics. In this role, we need you to take a holistic, high level approach to collection and reporting of data for major projects and initiatives across TD.
                    As data’s role in providing extraordinary products and services to our customers grows, we’ll look to the valued expertise you’ll provide in this role, to develop, adopt and evolve the best in class reporting and business intelligence capability.
                    Does this sound like you? You’re a natural leader, and can lead major initiatives and projects, joining business owners and partners to determine business needs and recommend solutions. Moreover, you have a talent for looking at a collection of data and drawing rare insights. In this role, we’ll need you to include those insights and commentary within the existing reporting packages you deliver. Finally, you’ll fit in well if you like to own your space and execute with speed and precision, relishing all challenges as opportunities to dig in, collaborate and take TD into the future of banking.

                    -

                    As a Senior Business Intelligence & Reporting Analyst, you will:

                    -
                      -
                    • Produce specialized reporting packages, dashboards and scorecards for businesses
                    • -
                    • Lead the implementation of initiatives in support of overall business/function strategy
                    • -
                    • Conduct analysis to provide improved BI to inform management leadership team
                    • -
                    • Craft complex and comprehensive BI reporting packages and dashboards utilizing data infrastructure, localized data marts and external data sources
                    • -
                    • Validate the quality and integrity of the data included in all reporting
                    • -
                    • Develop substantial and insightful commentary/insights on new and existing reporting packages.
                    • -
                    • Work with business partners to understand business objectives and develop valuable reporting and provide ad-hoc data extracts
                    • -
                    • Understand business drivers, definitions, and metrics in order to interpret findings, take action and provide relevant direction
                    • -
                    • Lead the development and implementation of portfolio reporting (e.g. acquisition, attrition, portfolio growth, profitability, etc.)
                    • -
                    • Provide (and may develop) complex reporting, analysis, and assessments at the functional or enterprise level
                    • -
                    • Work independently as the senior analyst / expert and may provide technical support to others
                    • -
                    • Maintain expert knowledge of all main data sources for the data used within the business unit and ability to effectively utilize these data sources for reporting purposes
                    • -
                    • Ideally have or acquire knowledge of broader enterprise reporting platforms and data sources and ability to integrate data across the enterprise
                    • +3699dd0c-c567-4b67-b8eb-155bf5e90dcf,236958266,Vector Institute,Applied Machine Learning Scientist,on_site,"Ontario, Canada",2023-06-17T02:12:02.994Z,"

                      JOB DESCRIPTION

                      +

                      Applied ML Scientist

                      +

                      POSITION OVERVIEW

                      +

                      As an Applied ML Scientist, you will provide technical leadership and contribute to focused research breakthroughs and applications to solve real-world problems with machine learning and AI. You will provide guidance and work with some of the best and brightest data scientists and machine learning engineering staffs from leading industry and health organizations.

                      +

                      +

                      Publishing research papers on applied research is a part of this role, but the focus is on impact of applications, not on the quantity or quality of publications. We are seeking a scientist with research experience in Responsible AI in a deep learning context. Experience in Fairness, Explainability, Privacy, AI Safety, Recommender Systems, and Natural Language Processing (NLP) are all valuable areas of knowledge for this role.

                      +

                      +

                      RESPONSIBILITIES

                      +

                      +
                        +
                      • Research and implement state of the art machine learning techniques to solve real world problems;
                      • +
                      • Work in collaboration with Researchers, Machine learning specialists, Vector Faculty Members and Affiliates to build demos, minimum viable products (MVP), reference implementations, and prototypes;
                      • +
                      • Provide scientific advice regarding overall machine learning application strategies and roadmaps;
                      • +
                      • Provide scientific oversight for Vector-led or co-led efforts to prepare specific datasets for machine learning research;
                      • +
                      • Serve as the lead Vector scientific contributor for responsible AI, health, and industry projects including contributing to or leading the authoring of peer-reviewed research papers;
                      • +
                      • Contribute to training sessions and other initiatives for Vector staff and stakeholders that help increase AI knowledge and the capacity of the system to recognize and act on opportunities to apply machine learning in a responsible manner;
                      • +
                      • Serve as an expert and facilitate identification of experts among the Vector research community for external stakeholders (e.g., health and other sectors) to advise on machine learning research trends and applications; and,
                      • +
                      • Other related duties as assigned.
                      -
                      -

                      -

                      Requirements

                      -
                      -What can you bring to TD? Share your most relevant experience, credentials, and knowledge for this role, as well as these essential requirements and attributes:

                      -
                        -
                      • Undergraduate degree in Business, Math, Computer Science, Engineering or a related discipline
                      • -
                      • The ideal candidate should have at least 5 years relevant experience
                      • -
                      • Proficient with programming languages and working in various data environments with strong understanding of relational and dimensional data modeling (e.g. SQL, Python, R, SAS, MS SQL Server etc.)
                      • -
                      • Experience with Azure Data Platform including Azure SQL Database, Databricks, and Data Lake
                      • -
                      • Expertise using business intelligence, analytics and/or data visualization tools (e.g. Tableau);
                      • +

                        +

                        REQUIREMENTS

                        +

                        +
                          +
                        • PhD degree in computer science or computer engineering with a research focus on machine learning
                        • +
                        • Demonstrated expertise in one or more of: Fairness in AI/ ML systems, Explainable AI, AI Safety, privacy for AI/ML, AI governance, Nature Language Processing (NLP), Natural Language Understanding and generation
                        • +
                        • Demonstrated experience applying machine learning research to novel problems and data sets
                        • +
                        • Experience with software engineering and/or data engineering is considered an asset
                        • +
                        • Strong knowledge and experience of Python
                        • +
                        • Experience with parameter and architecture tuning of deep learning algorithms
                        • +
                        • Experience using open source deep learning software frameworks (e.g, PyTorch, Tensorflow, JAX)
                        • +
                        • Experience with recommendation systems is considered an asset
                        -
                      -

                      -

                      Flexible Work Options

                      -
                      N/A
                      -

                      -

                      Hours

                      -
                      35
                      +

                    ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=9200420850870_2&jobId=448483&lang=en_CA&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2023-07-11T02:17:02.751Z,False,0,12,123,https://talenthub.vectorinstitute.ai/jobs/236958266-applied-machine-learning-scientist-at-vector-institute,,expired,2023-06-17T02:12:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Associate,PhD,New Posting, +2d48b079-7078-4410-a96a-b9a010914f16,235604047,Roche,"Senior Algorithm Engineer, Digital Pathology",on_site,"Mississauga, ON, Canada",2023-06-12T20:21:46.401Z,"

                    The Position

                    +

                    REPORTING RELATIONSHIP

                    +

                    REPORTS TO: Director/ Senior Director, Imaging & Algorithms or Manager, Image Analysis

                    +

                    SUPERVISES: N/A

                    +

                    POSITION SUMMARY:

                    +

                    Works with a highly collaborative team of imaging scientists and software developers to solve image and data analysis problems in the field of Digital Pathology. Contributes to algorithm development activities for technology assessment, internal project collaborations, and commercial medical devices. Implements technology in the fields of image processing, machine learning, pattern recognition and data mining. Organizes and tracks own deliverables.

                    +

                    ESSENTIAL FUNCTIONS:

                    +

                    • Implements or modifies existing algorithms to analyze histopathology images and data.

                    +

                    • Lead algorithm development/experiments to analyze histopathology images

                    +

                    • Implements software in prototyping and commercial product development environments.

                    +

                    • Collaborates with other members of a project team to meet defined scientific and technical goals/requirements.

                    +

                    • Interacts in a multidisciplinary environment with internal and external stakeholders (e.g., pathologists, biochemists, instrumentation engineers, software engineers, and marketing representatives).

                    +

                    • Keeps up-to-date with technology advances and job training requirements in the medical device industry.

                    +

                    • Identifies and documents Intellectual Property opportunities for technology and applications.

                    +

                    • Presents results to project partners, collaboration partners within the Roche group, customers, and at scientific conferences.

                    +

                    • Other duties as may be assigned by management in the pursuit of the operational goals of the group.

                    +

                    MINIMUM QUALIFICATIONS:

                    +

                    Formal Training/Education:

                    +

                    • Master’s Degree in Computer Science, Biomedical Engineering, Electrical Engineering, or a related field.

                    +

                    • Or Ph.D.

                    +

                    Experience:

                    +

                    • Two years of experience in a related field; Four years with BS

                    +

                    • Hands-on experience with algorithm development for image or data analysis algorithms.

                    +

                    • Experience in the design and development of analysis algorithms for biomedical image data.

                    +

                    • Product development experience with a focus on data analysis preferred.

                    +

                    • Experience working with Digital Pathology tools or Software is a plus.

                    +

                    • Experience working with Medical devices a plus.

                    +

                    Knowledge, Skills, and Abilities:

                    +

                    • Excellent written and verbal communication skills.

                    +

                    • Excellent skill sets in Matlab, C++ or Python.

                    +

                    • Good understanding of scientific principles; good analytical and mathematical skills.

                    +

                    • Working knowledge and theoretical understanding of image analysis, pattern recognition, machine learning, computer vision, and data mining methods.

                    +

                    • Extensive experience with commonly used Deep Learning models and frameworks (e.g., Pytorch, Fastai, TensorFlow)

                    +

                    • Understanding and following of software engineering practices for prototyping and commercial product development languages.

                    +

                    • Basic understanding of biomedical image data, preferably in digital pathology.

                    -

                    Inclusiveness

                    -

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    +

                    Who we are

                    +

                    At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

                    +

                    Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche's truly innovative culture.

                    -
                    ",,https://jobs.td.com/en-CA/jobs/18412689/senior-business-insights-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-06-19T15:58:04.825Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/228798609-senior-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18412689/senior-business-insights-analyst-toronto-ca/,expired,2023-05-24T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -6d7ca8ef-eb31-4624-b84e-0217d7307ee8,228136422,Scotiabank,"Manager, Decisioning Models - Retail & Small Business",on_site,Canada : Ontario : Toronto,2023-05-22T15:52:03.672Z,"

                    -

                    -

                    -

                    -

                    Requisition ID: 176964

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    -

                    The world is changing faster than ever and so are we!

                    -

                    -

                    Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

                    -

                    Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

                    -

                    -

                    What You'll do in this Role?

                    -

                    As a Manager, you will report directly to a Senior Manager or Director and be a critical member of a team overseeing a portfolio of decisioning models and supporting analytic processes. You will support – from conception through execution and governance – the risk decisioning models used by 2 or more of the bank’s retail and small business product lines, across the entire customer lifecycle. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Model Operations, Product, Risk Strategy & Risk Management, Model Validation and Governance, Technology & Data, Finance, Legal, Compliance and Audit.

                    -

                    -

                    Your team will have access to both traditional SAS tools and a modern machine learning stack that includes on-premise GPU computing, open source Jupyter development environments, a Hadoop cluster, containerized API model deployment and data visualization business intelligence tools.

                    -

                    -

                    Under the guidance of your Director, your team of risk modeling experts will use these tools to develop advanced risk prediction models that will be used potentially millions of times, every year and therefore need to be not only accurate and precise, but highly stable, explainable, compliant, secure and useful. You will be responsible for understanding the goals & priorities set for you, executing them efficiently with a perpetual eye on quality, asking questions often and delivering results in harmony with your teammates.

                    -

                    -

                    Is This Role Right for You?

                    -
                    • You believe, first and foremost, in always doing the right thing and doing things the right way
                    • You are both deeply curious and highly pragmatic
                    • You are comfortable with ambitious but realistic goals and are committed to achieving them
                    • You are social, engaging, not afraid to ask questions and relish the opportunity to learn from business partners (the majority of whom will be far less technical than you)
                    • You relish the implication and yet also understand the responsibility and weight that comes with the fact that every single time your model is used, it impacts a real human being
                    • You understand the difference between accuracy and precision and get excited by really great KS values and ROC curves
                    • You have a genuine love, passion and talent for programming, data, and predictive modeling
                    • You are comfortable initiating conversations and collaborating with diverse personalities
                    • You are committed to quality in everything you do – statistically, process and governance wise
                    • You look forward to sharing your insights with your peers through high-quality effective verbal and written communications
                    • -You are professional, motivated AND FUN. We mean it.
                    • -
                    -

                    Sample projects that you might work on include:

                    -
                    • Complete specialized analysis, develop creative statistical solutions and recommend improvements to estimation techniques, risk rating systems and/or internal or vendor-developed credit risk models
                    • Collaborate with risk management teams, external vendors, technology, and country risk counterparts as well as other stakeholders (i.e. audit, product) to ensure consistent and effective governance, measurement and communication of models / scorecards and their performance
                    • Conduct research of new innovative modeling methodologies, tools and regulatory requirements; develop new methodologies for model development, monitoring and reporting
                    • Lead the periodic review and maintenance of credit risk models / scorecards
                    • Identify, promote and lead process improvements for model development and monitoring
                    • Ensure that the data used for model development is reliable and robust and that it adheres to industry and regulatory standards
                    • -
                    -

                    -

                    What Are We Looking For?

                    -

                    We want talented pragmatic analytically oriented data scientists who are equally at home interpreting and applying statistics as they are ingesting and massaging data, translating regulatory requirements into models and explaining complex issues in simple concise ways. We want bright and energetic minds who come armed with a bottomless sense of curiosity about everything (great models and analytics are about so much more than just the numbers!), a passion for getting things done right – the first time – and a deep sense of personal and professional accountability.

                    -

                    -

                    To be a Manager in Retail Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you also need to be a collaborative team player who actively listens to stakeholders and customers because you are passionate about helping them win and you need to be interested in building something lasting and great. Working with customers across the bank to understand and translate their needs into outcomes, exploring both novel and legacy data sets and methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that your team “owns” will all be equally important.

                    -

                    -

                    We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

                    -

                    -

                    Do you have the skills that will enable you to succeed in this role?

                    -

                    General

                    -
                    • Bachelor’s Degree in Mathematics, Computer Science, Engineering or an equivalent technical field
                    • A demonstrated history of analytic problem solving and sound judgment
                    • Experience as an analyst or data scientist with a track record of accomplishments working on cross-functional teams
                    • Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit high-quality documentation and be accepted as a trusted advisor by peers
                    • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines
                    • -
                    -

                    -

                    Technical

                    -
                    • Strong fundamental understanding of statistics
                    • 2+ years of overall experience in analytic roles developing and using predictive, risk and/or forecasting models
                    • Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows)
                    • 1 or more years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
                    • Knowledge of credit risk models / scorecards
                    • -
                    -

                    -

                    Nice To Have's

                    -
                    • Proficient reading, writing and speaking Spanish (not required)
                    • Experience developing credit risk models / scorecards
                    • Domain expertise with any retail & small business banking products and/or risk management practices
                    • FRM, CFA credentials
                    • Experience training and deploying machine learning models using common Python open source frameworks (i.e., scikit-learn) and/or Python DevOps
                    • Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI) power user
                    • -Experience working with FICO / TSYS / CGI decision systems (TRIAD, OM, ACE, CACS)
                    • -
                    -

                    What's In it For You?

                    -
                    • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
                    • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                    • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
                    • Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
                    • A competitive compensation package
                    • -
                    -

                    -

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Manager%2C-Decisioning-Models-Retail-&-Small-Business/569576517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-22T19:55:14.959Z,False,0,3,26,https://talenthub.vectorinstitute.ai/jobs/228136422-manager-decisioning-models-retail-small-business-at-scotiabank,https://jobs.scotiabank.com/job/Manager%2C-Decisioning-Models-Retail-&-Small-Business/569576517/,expired,2023-05-22T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -73c9e255-b4b8-49f8-ad8e-818f7f936cbb,237622615,Scotiabank,"Manager, IFRS 9 Modelling & Analytics, Enterprise Stress Testing (12 Month Contract)",on_site,Canada : Ontario : Toronto,2023-06-19T15:52:03.239Z,"

                    -

                    -

                    -

                    -

                    Requisition ID: 177522

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    -

                    Purpose of Job:

                    -

                    -

                    As Manager, IFRS 9 Modelling & Analytics, Enterprise Stress Testing, you will contribute to the overall success of IFRS 9 credit risk modelling, analytics, and reporting for retail and small business portfolios. You will ensure specific individual goals, plans, and initiatives are executed / delivered in support of the team’s business strategies and objectives. You will also ensure all activities conducted are in compliance with governing regulations, internal policies, and procedures.

                    -

                    -

                    You will report directly to a Senior Manager or Director and be a critical member of the team overseeing the forward-looking probability of default (PD) and loss given default (LGD) models used to estimate credit risk for retail and small business lending products. With access to a modern machine learning stack that includes open-source development environments, you will assist in model development, implementation, and maintenance as we develop new methodology and models to replace the current suite. You will collaborate, on a regular basis, with a wide range of stakeholders and internal/external partners including Model Validation and Approval, Retail Provisions, Compliance, and Audit.

                    -

                    -

                    Job Responsibilities:

                    -

                    -

                    Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge
                    • Develops credit risk models for the retail and small business portfolios that predict probability of default or loss given default for IFRS 9 provisioning and financial reporting
                    • Documents all models and processes developed and works with the model validation team to ensure timely and satisfactory validation
                    • Supports the integration of new models into IFRS 9 and Enterprise-Wide Stress Testing analytics and reporting processes
                    • Works with stakeholders and technology partners to implement and test the models in user acceptance testing and production environments
                    • Understands how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions
                    • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct

                    -

                    Job Requirements:

                    -

                    -

                    • Advanced degree in Economics, Finance, Statistics, Mathematics, Physics, Engineering or other related quantitative discipline
                    • Predictive modelling or machine learning, statistical, and programming skills gained through work experience, a graduate degree, or other advanced training in a quantitative discipline
                    • Experience with Python or R including data processing with pandas or dplyr
                    • Excellent communication skills and the ability to communicate with stakeholders across a wide variety of functions, including the ability to clearly summarize and display data
                    • The candidate must demonstrate the ability to quickly grasp and embrace new concepts and technologies
                    • Experience with Linux or UNIX systems and version control software such as Git is required

                    -

                    -

                    Nice To Have:

                    -

                    • Domain expertise in retail credit risk and IFRS 9
                    • Experience with pyspark or sparklyr for data wrangling
                    • Experience with matplotlib, plotly, seaborn, or ggplot2 for data visualization
                    • Power user of Microsoft Office (Excel, Word, PowerPoint)

                    -

                    -

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Manager%2C-IFRS-9-Modelling-&-Analytics%2C-Enterprise-Stress-Testing-%2812-Month-Contract%29/570065217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-03T15:57:04.998Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/237622615-manager-ifrs-9-modelling-analytics-enterprise-stress-testing-12-month-contract-at-scotiabank,https://jobs.scotiabank.com/job/Manager%2C-IFRS-9-Modelling-&-Analytics%2C-Enterprise-Stress-Testing-%2812-Month-Contract%29/570065217/,expired,2023-06-19T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, -25d1f8b1-6e52-48ac-b066-ff1235517ecc,239939839,CIBC,"Sr. Consultant, Application Development",on_site,"Ontario, Canada",2023-06-27T01:41:05.340Z,"
                    +

                    As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

                    +

                    Roche is an Equal Opportunity Employer.

                    ",,https://roche.wd3.myworkdayjobs.com/roche-ext/job/Mississauga/Senior-Algorithm-Engineer--Digital-Pathology_202306-113012,aitalent@vectorinsitute.ai,https://www.roche.com/careers.htm,,,2023-07-12T20:22:16.238Z,False,0,8,60,https://talenthub.vectorinstitute.ai/jobs/235604047-senior-algorithm-engineer-digital-pathology-at-roche,,expired,2023-06-12T20:21:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,Masters Degree,New Posting, +14375b3e-29ce-454b-944b-3f2060bc3dc3,243216239,CIBC,"Senior Manager, Payment Analytics",on_site,"Ontario, Canada",2023-07-05T01:41:05.002Z,"

                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                    At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                    @@ -237801,58 +245894,56 @@ f1b3b6e4-ae68-459d-ac6b-adba62a499bb,228798609,TD Bank Group,Senior Business Ins

                    Job Description

                    -

                    What you\'ll be doing

                    -

                    You’ll be joining CIBC’s CIBC Asset Management (CAM) Technology Group within Wealth Management Technology. You’ll be at the heart of CIBC’s digital transformation, successfully delivering complex, enterprise-scale Azure projects involving multiple back-end systems. As an Senior Application Development Consultant, you will design, build, implement and maintain easy, flexible, agile solutions that enhance the client experience across multiple technologies including cloud. You’ll be part of the planning and strategy for the technical design, development and integration of these applications. The successful candidate for this role will be required to provide support after hours/weekends. This role will function in a hybrid work environment.

                    +

                    What you’ll be doing

                    +

                    The Senior Manager, Payment Analytics will be a leading contributor in the Analytics & Decision Science team supporting Personal and Business Banking. The Analytics & Decision Science team focuses on creating next generation analytics assets to enable data-driven decision making for partners in Product, Marketing, Client Segment and Strategy. In this role, you will lead analytics engagements to evaluate client behaviors and optimize business decisions related to product, payments and other business areas. You will present insights and make data-driven recommendations to senior leaders to help identify opportunities to grow the business and better serve our clients.

                    -

                    How you\'ll succeed

                    +

                    At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                    +

                    +

                    How you’ll succeed

                    • -Design and development - Perform and coordinate complicated application programming activities. Lead the design and development of cost-effective and innovative solutions
                    • +Analytics – Independently identify and leverage the right statistical techniques (descriptive, predictive, prescriptive) to extract actionable insights out of client behaviors and business trends (both internal and external). Appropriately integrate of big data, business intelligence, visualization, self-service and analytical tools into engagements. Proactively explore new applications of advanced analytics to innovate and build strategic analytics assets.
                    • -Strategic planning - Develop multi-year technology roadmaps that align with the bank’s vision, strategy, and business goals. Lead multiple complicated projects involving backend systems, new technology, and the enhancement of existing applications.
                    • +Technology – Leverage right data/analytical tools to analyze structured and unstructured datasets, build data pipeline and visualization from multiple data sources.
                    • -Leadership skills - Act as the development team lead and run code-review sessions with the wider team to ensure the project is on track to meet goals. Support and mentor intermediate and senior developers by sharing knowledge, collaborating and problem solving.
                    • +Business Understanding - Working knowledge or prior experience in the Payments space (including but not limited to Credit Cards, Debit & Mobile wallets) +
                    • +Consultant – Be an analytics consultant – Integrate deep domain knowledge with analytical capabilities to deliver value to stakeholders, enable data-driven decision making and proactively identify opportunities to drive business growth
                    • +
                    • +Ownership – Orchestrate end-to-end delivery of solutions that meet stakeholder requirements and contribute to business success – you will think and act like an owner in analytics initiatives ensuring the proper identification and translation of business needs into analytics requirements.
                    • +
                    • +Communication – Find the story in data and be flexible in communicating at varying levels of details for the right audience.

                    Who you are

                    • -You embrace and advocate change. You\'ll continuously evolve your thinking and the way you work in order to deliver your best.
                    • +You have a degree in a quantitative field (i.e. mathematics, statistics, computer science, economics, engineering, physics, business) or equivalent experience. Advanced degree is an asset (i.e. MMA, MBAN, MSc, MA, MBA).
                    • -Your influence makes a difference. You know that relationships and networks are essential to success. You inspire outcomes by sharing your expertise.
                    • +You are proficient in programming languages and have experience using modern data, analytical and dashboard tools (i.e. SAS, SQL, Python, R, , Alteryx, Tableau, Cognos).
                    • -You’re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
                    • +You have experience in building end-to-end analytics solutions involving large datasets (i.e. requirement gathering, data extraction, cleaning and transformation, statistical analysis, presentation & implementation).
                    • -You\'re motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.
                    • +You are a problem solver. You have exceptional critical thinking, problem solving and decision making skills with demonstrated ability to independently identify and analyze business problems and recommend solutions.
                    • -You can demonstrate experience in: Technical skills and experiences including: Azure Synapse architect design with DB objects and data security setup
                    • -
                    • Azure Synapse SQL development. Azure Data Factory
                    • -
                    • Azure App service plan – API and Web apps
                    • -
                    • C#.net API/Web app development and Azure DevOps
                    • -
                    • Modeling data for user consumption with UI tools such as Power BI
                    • -
                    • Ability to coach Azure developers
                    • -
                    • Proven experience on design and deploy data platforms within the Cloud adoption framework for data landing zones.
                    • -
                    • Perform requirements analysis, design, and prototyping for data solutions.
                    • -
                    • Provide oversight and guidance to platform, data, BI and development team.
                    • -
                    • Development, review, and revision of best practices for technical implementation and development and communication to supporting delivery resources.
                    • -
                    • Familiarity with DevOps tools like Azure DevOps and Business Intelligence tools such as Power BI, Tableau .
                    • -
                    • Communicate efficiently and with deep technical knowledge regarding concepts and best practices of the end-to-end data platform and architecture.
                    • -
                    • 8+ years of relevant professional technology experience.5+ years of experience in a data transformation language like SQL.
                    • -
                    • 5+ years of working experience with SQL Server, data warehousing and data analytics projects and 3+ years developing, deploying, and testing data platforms in Azure or other cloud provider.
                    • -
                    • 2+ years of experience with version control and DevOps. 1+ years infrastructure as code development on Azure (ARM, Bicep, Blueprints).
                    • -
                    • Minimum of a Bachelor’s degree in Computer Science, Computer Engineering, Software Design, Software Engineering, or a related field, or equivalent alternative education, skills, and/or practical experience. -
                    • +You have working knowledge of statistical techniques (i.e. Regression, Time-series analysis, Clustering, Decision trees, RFM, Demand forecasting).
                    • -Nice to have: MS Certified: Data Engineering Associate /MS Certified: Azure Solutions Architect Expert
                    • +You are an avid learner who recognizes the analytics field is constantly evolving. You seek to explore emerging trends and best practices in the industry and are excited to share the knowledge with others.
                    • -Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.
                    • +You can be clearly understood. You have very strong communication and presentation skills with a demonstrated ability to clearly and concisely present information to groups and individuals at all levels in the organization. +
                    • +You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do.
                    • +
                    • +Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.
                    • +
                    • +Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

                    What CIBC offers

                    At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                      -
                    • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program
                    • -
                    • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients
                    • +
                    • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.
                    • +
                    • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
                    • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                    @@ -237866,9 +245957,411 @@ f1b3b6e4-ae68-459d-ac6b-adba62a499bb,228798609,TD Bank Group,Senior Business Ins

                    -

                    Job Location

                    CIBC Square Banking Centre

                    Employment Type

                    Regular

                    +

                    Job Location

                    Toronto-81 Bay, 25th Floor

                    Employment Type

                    Regular

                    Weekly Hours

                    37.5

                    Skills

                    -

                    Azure App Service, Azure Cloud Services, Azure ExpressRoute, Azure Kubernetes Service (AKS), Azure Policy, Azure Storage, Functional Designs, Microsoft Azure, Microsoft Azure Databases Administration, Microsoft Azure Databricks, Microsoft Azure Data Lake Store, Microsoft Azure DevOps Artifacts, Microsoft Azure DevOps Boards, Microsoft Azure DevOps Repos, Microsoft Azure DevOps Test Plans, Microsoft Azure Functions, Microsoft Azure Load Balancer, Microsoft Azure Portal, Microsoft Azure Security, Microsoft Azure Synapse Analytics, Solutions Development
                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Consultant--Application-Development_2238606?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-07-04T17:37:00.000Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/239939839-sr-consultant-application-development-at-cibc,,expired,2023-06-27T01:41:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +

                    Actionable Insights, Data-Driven Decision Making, Decision Sciences, Problem Solving
                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Manager--Payment-Analytics_2311227?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-07-14T01:46:01.975Z,False,0,2,12,https://talenthub.vectorinstitute.ai/jobs/243216239-senior-manager-payment-analytics-at-cibc,,expired,2023-07-05T01:41:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +ba02df6e-2fdb-4e80-a3c8-9b71f86798af,238529771,Scotiabank,"Manager, Loyalty Analytics - CID&A",on_site,Canada : Ontario : Toronto,2023-06-22T15:52:02.939Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 180127

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    Purpose:

                    +


                    The Data Scientist, Loyalty Analytics is accountable for conducting analyses and making fact-based recommendations for Canadian Retail by leveraging existing reward assets and partnerships. The incumbent will support his/her manager in providing analytical support and customer insights by working closely with Loyalty and Partnership, Retail Customer Value, Retail Lending, Retail Deposits teams. This role will access a wide range of sophisticated data sources to uncover insights and support various business initiatives.

                    +



                    Accountabilities:

                    +


                    • Work with key partners to identify opportunities to champion a customer focused culture, to develop or improve existing strategies, and to deepen existing customer relationships through loyalty rewards
                    • Perform insightful analyses to understand our loyalty customer base holistically and generate new business ideas
                    • Develop and maintain contractual reports, dashboards of Loyalty Partners
                    • Support loyalty campaign sizing and post campaign analyses
                    • Manage and prioritize multiple business initiatives, projects and ad-hoc analysis with business stakeholders and/or external partners/consultants
                    • Acquire and enhance knowledge of business/product strategies, competitive practices, market insights, advanced analytical tools/methodologies to continuously improve analytics value

                    +


                    Requirements & Qualifications:

                    +


                    • 3+ years relevant extraction in an Analytic role in business, financial industry
                    • Demonstrated proficiency in working with large datasets, raw data sources, both structured and unstructured data, using programming language such as SAS, SQL, Python (analytic/visualization related libraries: i.e. Numpy, Pandas), Spark
                    • Experience in MinIO, Airflow, Git, Google Cloud Platform (BigQuery, Looker and Vertex AI etc.) would be an asset
                    • Proficient in Power BI, Excel
                    • Good verbal and written communication and presentation skills
                    • Excellent analytical, logical, and organizational skills; a drive to understand the relationships between data and activities, draw conclusions and use critical thinking to validate/verify outputs
                    • A strong focus on attention to detail to produce high quality, accurate and timely deliverables to meet deadlines
                    • Creative problem solver, self starter, resourceful in getting things done
                    • Graduate or undergraduate degree in quantitative discipline such as management analytics, statistics, mathematics, operations research, economics computer science, or engineering
                    • MBA, CFA, CPA preferred

                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Loyalty-Analytics-CID&A-ON-M5C2T6/571509017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-13T15:57:03.013Z,False,0,4,30,https://talenthub.vectorinstitute.ai/jobs/238529771-manager-loyalty-analytics-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Loyalty-Analytics-CID&A-ON-M5C2T6/571509017/,expired,2023-06-22T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +5ef58704-6665-4ca8-9500-26a6f1659941,236452210,Scotiabank,"Senior Manager, Data Analytics & Governance",on_site,Canada : Ontario : Toronto,2023-06-15T15:52:03.913Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 179743

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    Purpose of Job:

                    +

                    +

                    Working within Global Risk Management (GRM), the Senior Manager, Data Analytics & Governance focuses on data driven analyses resulting in useful insights that improve the Bank’s Operational Risk performance. Additionally, the role contributes to the implementation of enterprise data policies and standards by managing key data processes for the Global Operational Risk (GOR) team.

                    +

                    +

                    Job Responsibilities:

                    +

                    +

                    • Lead the development, implementation, and monitoring of GOR data strategies to minimize Operational Risk events and assist business line decision making.
                    • Lead ad-hoc analysis that provide useful intelligence to improve Operational Risk understanding and identify opportunities to improve risk/reward tradeoff. Assess current/emerging trends that may impact GOR, communicate root causes and undesirable trends affecting risk tolerance through segmentation analytics and early warning triggers.
                    • Deliver key analytics projects in partnership with enterprise data & analytics teams, GOR teams and business partners
                    • Recommend improvements to existing processes to assist data analytics, including data collection in Source systems
                    • Introduce changes under a test/control framework to help drive purpose, evidence-based decisions
                    • Work closely with leadership teams to create data strategies that assist data modeling
                    • Act as liaison between Data Office/Data Risk and GOR to communicate requirements ensuring compliance with data standards/ requirements
                    • Data governance and stewardship assist, including data quality, data lineage, and data change management
                    • Manages projects to deliver data changes, process updates, and audit/RDARR/OSFI deliverables
                    • Conducts or assists detailed analysis and investigations of data feed and defect issues impacting monthly processes and/or data quality
                    • Conducts or assists data trending and reasonability checks
                    • Prepares management and technical presentations, interfaces with senior management and business users to document business requirements, data and information needs, and data exchange flow and provides assist/requirements for user acceptance testing
                    • Manages communication with business partners and effectively communicates with the technology groups as well as data users in GOR and throughout GRM
                    • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
                    • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                    • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook, and the Guidelines for Business Conduct.
                    • Champions a high-performance environment and contributes to an inclusive work environment.

                    +

                    Job Requirements:

                    +

                    +
                    • Minimum of 5 years of data centred experience, preferably in a bank / financial institution
                    • Experience in statistical & quantitative analysis
                    • Experience in programming (SAS/Python/R) and databases (SQL, DB2) knowledge; ability to process and assess large volumes of data
                    • Experience in use of PowerBI, Tableau, or other data visualization tools
                    • Experience with Operational Risk platforms and methodologies, and their application in judicious decision making, is strongly desired
                    • Strong communication and presentation skills complemented with solid problem-solving skills
                    • Growth mindset with noetic curiosity, proactiveness and passion for continuous learning
                    • Solid interpersonal skills with ability to build judicious relationships and influence stakeholders
                    • Ability to present complex information in a simplified way to various audiences
                    • Bachelor’s degree or higher, preferably in Economics, Finance, Statistics, Industrial Engineer, Mathematics, Computer science, or Information technology related discipline
                    • Fluency in Spanish is an asset
                    • +
                    +

                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Analytics-&-Governance-ON-M5H1A1/571271517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-16T01:18:05.972Z,False,0,2,24,https://talenthub.vectorinstitute.ai/jobs/236452210-senior-manager-data-analytics-governance-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Analytics-&-Governance-ON-M5H1A1/571271517/,expired,2023-06-15T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +ab300eb8-56ba-4369-aa1a-f56ef4e6af8d,236957199,BMO Financial Group,"Manager, Operational Risk Reporting and Analytics",on_site,"Ontario, Canada",2023-06-17T01:42:03.026Z,"
                    +

                    Address:

                    250 Yonge Street

                    +

                    +

                    Job Family Group:

                    Data Analytics & Reporting

                    +

                    +

                    +

                    +

                    Supports the execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies. Supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance and minimizes risk.

                    +
                      +
                    • Acts as a trusted advisor to assigned business/group.
                    • +
                    • Influences and negotiates to achieve business objectives.
                    • +
                    • Recommends and implements solutions based on analysis of issues and implications for the business.
                    • +
                    • Assists in the development of strategic plans.
                    • +
                    • Identifies emerging issues and trends to inform decision-making.
                    • +
                    • Researches existing or emerging requirements & related best practices to assist and develops recommendations for changes/enhancements. +
                    • +
                    • Helps determine business priorities and best sequence for execution of business/group strategy.
                    • +
                    • Conducts independent analysis and assessment to resolve strategic issues.
                    • +
                    • Leads the development and maintenance of the risk reporting framework.
                    • +
                    • Represents the risk reporting function during internal/external regulatory audits and/or examinations
                    • +
                    • Ensures alignment between stakeholders.
                    • +
                    • Coordinates the management of databases; ensures alignment and integration of data in adherence with data governance standards.
                    • +
                    • Builds change management plans of varying scope and type; leads or participates in a variety of change management activities including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
                    • +
                    • May provide specialized support for other internal and external regulatory requirements.
                    • +
                    • Provides input into the planning and implementation of ongoing operational programs in support risk reporting management framework.
                    • +
                    • Leads/participates in the design, implementation and management of core business/group processes.
                    • +
                    • Designs, develops, and implements reporting solutions to meet management and regulatory reporting requirements.
                    • +
                    • Provides advice and guidance to assigned business/group on implementation of analytical and reporting solutions.
                    • +
                    • Executes work to deliver timely, accurate, and efficient service for scheduled reporting production processes.
                    • +
                    • Supports the maintenance, monitoring, and measurement of key risk indicators to internal & external stakeholders.
                    • +
                    • Analyses data and information to provide risk-related insights and recommendations for the assigned portfolio e.g. capital at risk modeling, risk/return assessments, etc.
                    • +
                    • Supports the interpretation of internal and external policies and regulatory requirements relevant to the analytics and reporting mandate e.g. regulatory reporting.
                    • +
                    • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
                    • +
                    • Ensures strong governance and effective controls across risk reporting activities and information in accordance with enterprise standards.
                    • +
                    • Analyzes data and highlights significant information including variances, trends, opportunities and exposures; escalates as required.
                    • +
                    • Provides information and supports the process for internal and external audits.
                    • +
                    • Gathers and formats data into regular and ad-hoc reports, and dashboards.
                    • +
                    • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • +
                    • Builds effective relationships with internal/external stakeholders.
                    • +
                    • Supports the maintenance of operational procedures and processes related to analytical and reporting processes.
                    • +
                    • Supports the development of tools and delivery of training focused on awareness and understanding of key data elements used in risk reporting.
                    • +
                    • Participates in the design, implementation and management of core business processes to ensure the accuracy of risk data used in reporting.
                    • +
                    • Organizes work information to ensure accuracy and completeness.
                    • +
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                    • +
                    • Provides specialized consulting, analytical and technical support.
                    • +
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • +
                    • Works independently and regularly handles non-routine situations.
                    • +
                    • Broader work or accountabilities may be assigned as needed.

                      Qualifications:

                      +
                    • +
                    • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                    • +
                    • In-depth knowledge of risk management metrics, KPIs and KRIs.
                    • +
                    • In-depth knowledge of industry trends and regulatory requirements for risk reporting.
                    • +
                    • In-depth product knowledge for the designated business/portfolio.
                    • +
                    • In-depth knowledge of risk management theory, processes and portfolio management reporting techniques.
                    • +
                    • In-depth knowledge of reporting & analytics concepts and applications.
                    • +
                    • In-depth knowledge of risk systems technology.
                    • +
                    • Deep knowledge and technical proficiency gained through extensive education and business experience.
                    • +
                    • Verbal & written communication skills - In-depth.
                    • +
                    • Collaboration & team skills - In-depth.
                    • +
                    • Analytical and problem solving skills - In-depth.
                    • +
                    • Influence skills - In-depth.
                    • +
                    • Data driven decision making - In-depth.
                    • +
                    +

                    +

                    +

                    We’re here to help

                    +

                    +

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    +

                    +

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    +

                    +

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    +

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    +

                    +

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Operational-Risk-Reporting-and-Analytics_R220032116?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-07-18T00:41:00.000Z,False,0,3,17,https://talenthub.vectorinstitute.ai/jobs/236957199-manager-operational-risk-reporting-and-analytics-at-bmo-financial-group,,expired,2023-06-17T01:42:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +e561500e-a04e-4400-a960-db40ac25a098,240674638,BMO Financial Group,"Manager, Credit Risk Modelling & Analytics",on_site,"Ontario, Canada",2023-06-29T01:42:01.573Z,"
                    +

                    Address:

                    100 King Street West

                    +

                    +

                    Job Family Group:

                    Data Analytics & Reporting

                    +

                    +

                    +

                    +

                    Supports the research and development of quantitative risk modeling methodologies and related strategies in support of the management of risks arising from business/group portfolios and products. Applies knowledge of analytics algorithms and technologies to develop forward looking models and analytic solutions that ensure risks are properly identified, understood and risk related strategies are enabled. Summarizes statistical findings, draws business conclusions, and presents actionable business recommendations used in the management of risks and related activities e.g. associated internal controls; enterprise-wide stress testing and scenario analysis; capital modelling; valuations. Drives innovation through the development of data products that can be leveraged across the organization and establishes best practices as well influences data governance guidelines and policies. May specialize in one or more risk categories e.g. Credit Risk, Market Risk, Interest Rate Risk, etc.

                    +
                      +
                    • Acts as a trusted advisor to assigned business/group.
                    • +
                    • Influences and negotiates to achieve business objectives.
                    • +
                    • Recommends and implements solutions based on analysis of issues and implications for the business.
                    • +
                    • Assists in the development of strategic plans.
                    • +
                    • Identifies emerging issues and trends to inform decision-making.
                    • +
                    • Supports the execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • +
                    • Helps determine business priorities and best sequence for execution of business/group strategy.
                    • +
                    • Conducts independent analysis and assessment to resolve strategic issues.
                    • +
                    • Automates validation tests to improve quality and efficiency of the validation process.
                    • +
                    • Identifies emerging issues and trends to inform decision-making.
                    • +
                    • Builds effective relationships with internal/external stakeholders.
                    • +
                    • Ensures alignment between stakeholders.
                    • +
                    • Cleanses, manipulates, and transforms data through programming/scripting for model training and validation.
                    • +
                    • Conducts various pre-implementation and post-implementation analyses to estimate/measure business impact caused by model adoption (e.g., revenue increase, cost reduction, corporate brand image).
                    • +
                    • Provides input into the planning and implementation of operational programs.
                    • +
                    • Executes work to deliver timely, accurate, and efficient service.
                    • +
                    • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • +
                    • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                    • +
                    • Works with stakeholders to identify the business requirements, understand the distinct problems, and the expected outcome and models and frames business scenarios which impact critical business processes and/or decisions.
                    • +
                    • Works with various data owners to discover and select available data sources from internal sources and external vendors (e.g. lending system, payment system, external credit rating system) to fulfill analytical needs.
                    • +
                    • Applies scripting/programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                    • +
                    • Develops agreed analytical solution by applying suitable statistical techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, artificial intelligence) to test, verify, refine hypotheses.
                    • +
                    • Summarizes statistical findings and draws conclusions and presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                    • +
                    • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                    • +
                    • Performs experimental design approaches to validate finding or test hypotheses.
                    • +
                    • Uses the appropriate algorithms to discover patterns.
                    • +
                    • Builds effective relationships with internal/external stakeholders. Ensures alignment between stakeholders.
                    • +
                    • Supports development of tools and delivers training for data and analytics.
                    • +
                    • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • +
                    • Leads/participates in the design, implementation and management of core business/group processes.
                    • +
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                    • +
                    • Provides specialized consulting, analytical and technical support.
                    • +
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • +
                    • Works independently and regularly handles non-routine situations.
                    • +
                    • Broader work or accountabilities may be assigned as needed.

                      Qualifications:

                      +
                    • +
                    • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                    • +
                    • Data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS.
                    • +
                    • Relevant experience in risk, capital, and/or treasury management is preferred.
                    • +
                    • A professional designation in Finance or Risk management is preferred.
                    • +
                    • Post-secondary degree in Finance/Economics/Math required.
                    • +
                    • Professional designation in Finance or Risk management required.
                    • +
                    • Deep knowledge and technical proficiency gained through extensive education and business experience.
                    • +
                    • Verbal & written communication skills - In-depth.
                    • +
                    • Collaboration & team skills - In-depth.
                    • +
                    • Analytical and problem solving skills - In-depth.
                    • +
                    • Influence skills - In-depth.
                    • +
                    • Data driven decision making - In-depth.
                    • +
                    +

                    +

                    +

                    We’re here to help

                    +

                    +

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    +

                    +

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    +

                    +

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    +

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    +

                    +

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Modelling---Analytics_R220031603?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-07-18T00:42:00.000Z,False,0,1,23,https://talenthub.vectorinstitute.ai/jobs/240674638-manager-credit-risk-modelling-analytics-at-bmo-financial-group,,expired,2023-06-29T01:42:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +71392a59-b4ea-4b2f-ada9-87edf1801e8b,243216283,BMO Financial Group,"Manager, Audit Data Analytics Developer",on_site,"Ontario, Canada",2023-07-05T01:42:02.289Z,"
                    +

                    Application Deadline:

                    07/30/2023

                    +

                    +

                    Address:

                    100 King Street West

                    +

                    +

                    Job Family Group:

                    Data Analytics & Reporting

                    +

                    +

                    +

                    +

                    Consults on and develop analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Supports the Audit function with analytics and automation of recurring analytics. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools. Banking/Financial service experience AND strong Python skill desired for this role.

                    +

                    +

                    *This is a Hybrid role requiring in office days to support business needs.

                    +
                      +
                    • Acts as a trusted advisor to assigned business/group.

                    • +
                    • Leads the design, development, and implementation of analytic solutions.

                    • +
                    • Identifies emerging issues and trends to inform decision-making.

                    • +
                    • Recommends and implements solutions based on analysis of issues and implications for the business

                    • +
                    • Ensures alignment between stakeholders about business needs and data needs.

                    • +
                    • Ensures alignment between stakeholders about business needs and data needs.

                    • +
                    • Leads/participates in the design, implementation and management of new analytics & reporting solutions.

                    • +
                    • Designs, develops, and implements innovative analytical solutions.

                    • +
                    • Designs and produces regular and ad-hoc reports, and dashboards.

                    • +
                    • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.

                    • +
                    • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).

                    • +
                    • Cleanses, manipulates, and transforms data through programming / scripting for model training and validation.

                    • +
                    • Automates validation tests to improve quality and efficiency of the validation process.

                    • +
                    • Validates and tests models used in analytics and reporting to assess/address performance and compliance.

                    • +
                    • Conducts various pre-implementation and post-implementation analyses to estimate/measure business impact caused by model adoption (e.g., revenue increase, cost reduction, corporate brand image).

                    • +
                    • Promotes reporting automation, self-serve analytics consumption, and the culture of analytics-driven decision making.

                    • +
                    • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.

                    • +
                    • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.

                    • +
                    • Designs, develops, and implements innovative analytical solutions.

                    • +
                    • Designs and produces regular and ad-hoc reports, and dashboards.

                    • +
                    • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.

                    • +
                    • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.

                    • +
                    • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.

                    • +
                    • Analyzes data and information to provide subject-matter insights and recommendations.

                    • +
                    • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.

                    • +
                    • Documents and maintain operational procedures and processes relating to analytical and reporting processes.

                    • +
                    • Builds effective relationships with internal/external stakeholders.

                    • +
                    • Collaborates with internal and external stakeholders in order to deliver on business objectives.

                    • +
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.

                    • +
                    • Provides specialized consulting, analytical and technical support.

                    • +
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.

                    • +
                    • Works independently and regularly handles non-routine situations.

                    • +
                    • Broader work or accountabilities may be assigned as needed.

                    • +
                    +

                    Qualifications: +

                    +
                      +
                    • 3-7 years of relevant experience and post-secondary degree in Commerce / Engineering / Computer Science or related field of study or an equivalent combination of education and experience.

                    • +
                    • Knowledge and experience in data processing , data analysis, data analytics, statistical tool sets and/or software/web/automation development including but not limited to SQL, Python, SAS, Power BI, Spotfire, Tableau, AWS, Hadoop, Netezza and SQL Server - In-depth.

                    • +
                    • Deep knowledge and technical proficiency gained through extensive education and business experience.

                    • +
                    • Verbal & written communication skills - In-depth.

                    • +
                    • Collaboration & team skills - In-depth.

                    • +
                    • Analytical and problem solving skills - In-depth.

                    • +
                    • Influence skills - In-depth.

                    • +
                    • Data driven decision making - In-depth.

                    • +
                    +

                    +

                    +

                    We’re here to help

                    +

                    +

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    +

                    +

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    +

                    +

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    +

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    +

                    +

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Audit-Data-Analytics-Developer_R230011050?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-07-18T00:46:00.000Z,False,0,3,26,https://talenthub.vectorinstitute.ai/jobs/243216283-manager-audit-data-analytics-developer-at-bmo-financial-group,,expired,2023-07-05T01:42:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +bbcf79bb-f114-4147-9b24-798afd4e3489,243216683,RBC,Associate - Data Analytics,on_site,"Toronto, ON, Canada",2023-07-05T01:51:03.208Z,"
                    +

                    Come Work with Us!

                    At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                    Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                    +

                    Job Title

                    Associate - Data Analytics

                    +

                    +

                    Job Description

                    +

                    What is the opportunity?

                    +

                    +

                    Reporting to the Head of Data Analytics you will work closely with business and technology teams across Wealth Management Europe (WME) to support the ongoing maintenance of the Data Analytics infrastructure and with the delivery of analytical insights to business.

                    +

                    UKJERSEYWM

                    +

                    +

                    What will you do?

                    +
                      +
                    • Support the design, development and ongoing maintenance of the scalable Data Analytics data infrastructure using the Microsoft SQL technology stack to serve as the foundational layer for analytics and insights, support and guide team on technical design and implementations
                    • +
                    • Identify, source, stage and model data using industry standard technologies and established development and operational practices as part of the end-to-end data lifecycle
                    • +
                    • Work with the business and senior team members to identify and source data points across core platforms and processes for inclusion within the Data Analytics data repository
                    • +
                    • Ability to structure large disparate data sets to serve multiple functions and tailor the results for specific audiences, supporting the creation of model development to support investigation and analysis
                    • +
                    • Ability to create new and modify existing T-SQL scripts, stored procedures and SSIS packages to support new and regular reporting requirements
                    • +
                    • Research, explore and understand business problems and reporting requirements and support in the design, development and deployment of solutions and dashboards, enabling end-user self-service, incorporating drill-down functionality
                    • +
                    • Provide data driven and thought provoking insights to drive informed decision-making, supporting the transfer of knowledge to stakeholders to use its data more effectively
                    • +
                    • Adhere to the established DevOps’s process to ensure that new or changes to existing source code or DB structure follow the agreed development and release processes and that all productionised code is adequately documented and reviewed
                    • +
                    +

                    +

                    What do you need to succeed?

                    +

                    Must-have

                    +
                      +
                    • Experience with MS SQL Server, Data Warehousing techniques, solutions and methodologies
                    • +
                    • Good understanding of relational database principals
                    • +
                    • Good knowledge of SQL, working with ETL\'s and SSIS packages
                    • +
                    • Data management analyst with ability to mine and visualize data
                    • +
                    • Good understanding of datasets, data warehouses /modelling, database design and programming
                    • +
                    +

                    +

                    Nice-to-have

                    +
                      +
                    • Knowledge of Tableau
                    • +
                    • Experience with JIRA
                    • +
                    • Experience with GitHub
                    • +
                    • Knowledge of Agile project management principles
                    • +
                    +

                    +

                    What is in it for you?

                    +

                    We thrive on the challenge to be our best - progressive thinking to keep growing and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                    +
                      +
                    • A comprehensive Total Rewards Program including bonuses, flexible benefits and competitive compensation
                    • +
                    • Leaders who support your development through coaching and managing opportunities
                    • +
                    • Opportunities to work with the best in the field
                    • +
                    • Ability to make a difference and lasting impact
                    • +
                    • Work in a dynamic, collaborative, progressive, and high-performing team
                    • +
                    • A world-class training program in financial services
                    • +
                    • Flexible and hybrid working options fully supported
                    • +
                    +

                    +

                    +

                    +

                    Job Summary

                    +

                    Address:

                    Saint Helier, Jersey

                    City:

                    GBR-GREATER_LONDON-LONDON, JEY-ST_HELIER-SAINT HELIER

                    Country:

                    Jersey

                    Work hours/week:

                    36.25

                    Employment Type:

                    Full time

                    Platform:

                    Wealth Management

                    Job Type:

                    Regular

                    Pay Type:

                    Salaried

                    Posted Date:

                    2023-06-20

                    Application Deadline:

                    2023-07-14
                    +

                    Inclusion and Equal Opportunity Employment

                    +

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    +
                    +

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                    +
                    ",,https://jobs.rbc.com/ca/en/job/R-0000062112/Associate-Data-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-07-18T00:46:00.000Z,False,0,39,149,https://talenthub.vectorinstitute.ai/jobs/243216683-associate-data-analytics-at-rbc,,expired,2023-07-05T01:51:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,No Degree,New Posting, +14376b18-e2ea-40cd-af9b-c6f891ee38fd,242607511,Scotiabank,Manager Treasury Risk Analytics,on_site,Canada : Ontario : Toronto,2023-07-03T15:52:04.774Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 180085

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    Purpose of Job:

                    +

                    +

                    The manager in Trade Floor Risk Management International team is primary focused on providing structural, liquidity, and market risk oversight for Scotiabank's operations in Latin America and Caribbean units, ensuring all positions and their inherent key risks are properly identified, quantified, monitored, and reported.

                    +

                    +

                    This role has regular exposure to Senior Management across different areas and jurisdictions to discuss and provide recommendations on market risk related issues in the region; written and oral presentations are done on a regular basis to Senior Level Executives.

                    +

                    +

                    The manager will also assess business proposals and provide recommendations on the appropriate risk frameworks in line with Scotiabank's standards and policies.

                    +

                    +

                    Other activities include, drawing periodic reports, developing tools to improve the team's risk oversight, reviewing the risk framework of the different jurisdictions, assessing data quality, ensuring information integrity, and implementing technology related projects.

                    +

                    +

                    Job Responsibilities:

                    +

                    +

                    Business Relationship: Develop effective relationships with business lines that foster awareness of the Bank's risk framework and sharing of information.

                    +

                    +

                    Proactivity: Self-initiated behavior that endeavors to propose and execute solutions to daily challenges and tasks.

                    +

                    +

                    Market Intelligence/Proactive Analysis: Maintain regular dialogue with business lines and control functions with respect to market developments and risk matters, including changes in risk profile and P&L drivers. Monitor international financial markets/events, identify new trends and summarize new regulatory requirements.

                    +

                    +

                    Responding to Requests/Events: Facilitate effective risk-reward decisions by providing a separate opinion on business initiatives, including calibrating risk limits in alignment with the Bank's risk appetite framework.

                    +

                    +

                    Valuation: Ensure portfolios are accurately valued through analysis of daily P&L results and oversight over Separate Price Verification process.

                    +

                    +

                    Communication: Distilling relevant daily risk/market information into highlights, ensuring material issues are informed to stakeholders.

                    +

                    +

                    Report Effectiveness: Run daily processes within deadlines (e.g., reports, analysis, etc.) and identify process improvement opportunities. Contribute to the testing and development of new tools to automate risk processes across different jurisdictions.

                    +

                    +

                    Team player: Work effectively with other team members and/or stakeholders with emphasis on getting things done through proactive participation and collaboration.

                    +

                    +

                    Job Requirements:

                    +

                    +

                    Advise and assist International Subsidiaries in the development of their risk management framework in line with the Bank’s standards for balance sheet management (e.g., Static Interest Rate Gaps, Net Interest Income, Economic Value, duration gap.), liquidity risk management (e.g., Liquidity Cash Gap, Liquidity Buffer, Liquidity Stress Testing) and market risk management (VaR, sVaR, Interest Rate Sensitivity (DV01)).

                    +

                    +

                    Conceptualize, develop, and deploy value-added analytical tools and data visualization solutions to assist treasury activities around structural interest rate risk and liquidity management. Develop and maintain tools and processes to eliminate manual tasks with automation.

                    +

                    +

                    +

                    Qualifications:

                    +

                    +
                    • Strong knowledge of market risk management processes and measurement techniques is required.
                    • At least 3 years of previous experience in liquidity risk, interest rate risk or market risk management.
                    • Knowledge of the Bank's risk appetite and risk framework is an asset.
                    • Strong communication skills are critical as there is close interaction with the regional Treasurers, Traders, and local Market Risk Management teams. Spanish is an asset.
                    • Strong writing skills are critical as written communication is often used to present key issues and recommendations to Senior Management and/or to the Bank's Market Risk and Management Policy Committee.
                    • Given the high volume of activity, the manager must be able to prioritize ongoing initiatives and efficiently multi-task to meet objectives. Ability to adapt to a dynamic and fast-paced environment is a must.
                    • +
                    +

                    +

                    Educational Requirements:

                    +

                    +
                    • Quantitative Undergraduate (e.g., Economics, Finance, Mathematics, Statistics, Engineering, etc.) with a master’s degree (e.g., MSc, Master of Finance, Master of Risk Management, etc.).
                    • FRM and/or CFA certifications are an asset.
                    • Proficiency using programming languages and data management software, including Python, R, SQL, Visual Basic, etc.
                    • Strong technical knowledge and work experience in data visualization tools (i.e., Tableau, Power BI).
                    • Knowledge of market risk management processes and metrics.
                    • Knowledge of Spanish is an asset
                    • +
                    +

                    +

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Manager-Treasury-Risk-Analytics-ON-M5H-0B4/571783817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-17T15:57:03.994Z,False,0,2,20,https://talenthub.vectorinstitute.ai/jobs/242607511-manager-treasury-risk-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager-Treasury-Risk-Analytics-ON-M5H-0B4/571783817/,expired,2023-07-03T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, +a8b42e2c-09f6-4dc1-b166-a7264047d664,237206020,EllisDon,Data Governance & Backup Specialist,on_site,"Mississauga, ON L4Y1M4, CAN Mississauga, ON L4Y1M4, CAN",2023-06-17T16:04:02.307Z,"

                    Job Details

                    Description

                    +

                    Connect with us LinkedIn, Instagram, Facebook, Twitter

                    +

                    Do you want to build the software that builds cities? EllisDon’s construction technology team is made up of Full-Stack Developers, Data Analysts, UX Designers, Product Owners, IT Operations and we’re growing fast! Our team also includes some of the best digital modelers and BIM specialists in the industry, experts who are working with the latest tech on projects in the billions of dollars.

                    +

                    We are a software development studio of 140+ people, backed by one of Canada’s top construction firms, with over 70 years in the industry and completing over $5 billion of work each year. We build software that is solving real-world problems on some of Canada’s largest construction projects.

                    +

                    Above all, we at EllisDon work hard to deliver great careers to one another. We choose to celebrate the strength in our differences, every day. EllisDon’s commitment to Inclusive Diversity is to work together to create an environment where every employee feels safe to be their true and authentic self. Ultimately, EllisDon’s purpose is to provide people with similar values the opportunity to achieve their full potential; to deliver that opportunity for great careers to one another; and to contribute meaningfully to the community we share with others.

                    +

                    In case you’re curious, here’s what the industry thinks of us and some of the impacts we've made to the communities we work in.

                    +

                    You as a Storage and Backup Specialist:

                    +
                      +
                    • Corporate Data Governance Strategy for Azure Cloud environment
                    • +
                    • MTTR planning including updates to Disaster Recovery and Business Continuity plans
                    • +
                    • Extensive experience in Storage Consolidation, Backup administration, testing, and verification of backups
                    • +
                    • Administer, maintain, troubleshoot, and support large complex multi-platform Storage environment that includes fiber channel SAN with multiple directors, servers, storage frames technologies, as well as enterprise backup technologies.
                    • +
                    • Architect, design and implement infrastructure solutions for server hosting, virtualization, storage area network, centralized back-up, security, monitoring.
                    • +
                    • Manage monitoring, alerting, capacity planning, provisioning, and reporting for all storage subsystems.
                    • +
                    • Identify, analyze, and resolve problems specifically on storage, backup and in general, cross platform environments.
                    • +
                    • Identify, define, and develop improvements to processes that support the infrastructure at all Core locations and Satellite office.
                    • +
                    • Prepare Implementation plan, rollback plan and test plan, risk, and impact analysis for critical or complex changes. Review the change plan and documentation prepared by level 2 engineers for peer review
                    • +
                    +

                    This is the right role for you, if you have:

                    +
                      +
                    • A University degree in Computer Science or equivalent
                    • +
                    • Experience with M365 Cloud Storage Solutions & Azure Cloud Files Services
                    • +
                    • Experience with Data Migrations and Systems Integrations
                    • +
                    • Experience with CommVault/Metallic experience is an asset
                    • +
                    • Back-up Experience On-Premise and Cloud
                    • +
                    • 8 years of F/T industry-level experience
                    • +
                    • Excellent communication skills, including an ability to work collaboratively across multi-disciplinary teams, interpersonal skills are essential.
                    • +
                    +

                    EllisDon is proud to provide this unique career opportunity that provides continuous learning, opportunity for growth, and a competitive compensation package within an environment that is committed to inclusion and respects diversity.

                    +

                    Go ahead and be yourself. We'll pay you for it!

                    +

                    We are an equal opportunity employer. We welcome people of any age, culture, subculture, gender identity or expression, sexual orientation, nationality, ethnicity, race, size, mental or physical status, veteran status, religion, language, political opinion, working-style preference, family status, education, and socio-economic status. The EllisDon core values of Integrity and Mutual Respect welcomes everyone, at work and in the community, and our value of Mutual Accountability, means that we all have a role to play. As an EllisDon employee, this will ultimately be your commitment to Inclusive Diversity.

                    +

                    Accommodation for Applicants with disabilities will be made during the recruitment process when requested.

                    +

                    We are committed to providing a positive candidate experience and ensuring timely updates are provided to all candidates. If you haven’t already, be sure to create a profile on our Careers page here to remain up to date on the status of your application and learn about new career opportunities as they arise.

                    Qualifications

                    Skills

                    Behaviors

                    :

                    Motivations

                    :

                    Education

                    Experience

                    Licenses & Certifications

                    ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=96f647c1-0c59-4269-9ab1-b4d94ed5f785,feed-importer@jobboard.io,,,,2023-07-17T16:09:03.123Z,False,0,2,31,https://talenthub.vectorinstitute.ai/jobs/237206020-data-governance-backup-specialist-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=96f647c1-0c59-4269-9ab1-b4d94ed5f785,expired,2023-06-17T16:04:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Construction or Infrastructure,Senior Level,Bachelors Degree,New Posting, 128b17fc-8027-4729-a587-aa99e2811c75,100401736,CIBC,"Analytics Specialist, Fraud Analytics",on_site,"Ontario, Canada",2021-12-23T10:03:03.095Z,"
                    @@ -278586,15 +287079,392 @@ cfee5171-c419-4a41-ab78-6bbb01f6fb9f,200117726,TD Bank Group,Associate Machine L

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    ",,https://jobs.td.com/en-CA/jobs/15680383/manager-marketing-performance-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-06T17:29:03.811Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/198034034-manager-marketing-performance-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15680383/manager-marketing-performance-insights-toronto-ca/,expired,2023-02-20T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -25e7b710-9bf5-43ae-9e05-dc1ce4bb275d,217086151,EthicalAI,Machine Learning Engineer,on_site,"Toronto, ON, Canada",2023-04-20T20:49:02.840Z,"

                    Please note: EthicalAI is one of our participating employers in the upcoming Talent Meetup with Startups and Scaleups event hosted in a hybrid capacity on May 17, 2023, from 12.00-2.00 PM. Attending employers looking to meet and interview a captive audience of AI professionals who are actively seeking new opportunities now or by Fall 2023. For event registration, click here

                    EthicalAI
                    looking for candidates who have an understanding of Python and the development of machine-learning software systems.

                    -

                    Deep Learning Models. Machine learning production and MLOPs. Backend infrastructure and machine learning integration.

                    About Us:
                    EthicalAI was created to innovate new AI technology with a focus to make a positive impact on the world and to raise awareness on how to prevent unintended negative consequences and harm from the adoption of this new technology. EthicalAI provides consulting services as well as creating software products in partnership with a large network of pioneers and industry leaders working towards a more sustainable future.

                    Job Description:

                    -

                    We are seeking a highly skilled and motivated Machine Learning Engineer to join our team, working on a cutting-edge project in the power utility domain. The ideal candidate will have a strong background in Python programming, machine learning, deep learning models, and MLOps. They will be responsible for developing, deploying, and maintaining machine learning solutions to optimize inventory management in a stochastic environment.

                    -

                    Responsibilities:

                    +e6ceb188-3673-4400-a109-5ab696c68bd4,236452260,TD Bank Group,Data Scientist II,on_site,"Toronto, ON",2023-06-15T15:53:02.219Z,"
                    +

                    Company Overview

                    +
                    +

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    +

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    +
                    +

                    +

                    Department Overview

                    +

                    The Analytics and Information Management team supports the entire Canadian Auto Finance organization with reporting, data consulting, strategy and ad-hoc analyses from product development, sales and loan acquisition to operations and servicing customers.
                    This position offers an excellent opportunity to learn about and be at the forefront of a highly dynamic and growing business while supporting a multitude of critical initiatives across TDAF Canada.

                    +

                    +

                    Job Description

                    +
                    +

                    About this Role

                    +

                    Reporting to the Senior Manager – Analytics & Information Management – the Data Scientist will engage with all levels of the TD Auto Finance team and utilize their skills to provide value added information to business stakeholders.

                      -
                    • Design, develop, and implement machine learning algorithms and models to address inventory management challenges in the power utility sector.
                    • -
                    • Apply deep learning techniques to analyze and make predictions based on large volumes of data.
                    • -
                    • Collaborate with the software development team to integrate machine learning models into backend
                    • -
                    ",samruddhi.hadkar@vectorinstitute.ai,,aitalent@vectorinsitute.ai,https://ethicalai.ca/,,,2023-05-20T20:49:00.000Z,True,39,0,458,https://talenthub.vectorinstitute.ai/jobs/217086151-machine-learning-engineer-at-ethicalai,,expired,2023-05-08T20:49:00.000Z,admin,Startup (1-19),Vector Quick Apply,Professional Services (e.g Consulting),Associate,Masters Degree,New Posting, +
                  • Utilize business and TD enterprise data along with machine learning methods to build models that predict certain customer behaviors (for example: defaults, loan prepayments, new car purchases, mobile app behavior etc.).
                  • +
                  • Work with business partners on initiatives and projects. Provide consultation and recommendations by highlighting impacts from a quantitative point of view.
                  • +
                  • Pro-actively identify opportunities for the business to maximize shareholder value through provisioning of analytics discovery and business insights.
                  • +
                  • Support a positive work environment that promotes service to the business, quality, innovation, and teamwork; ensure timely communication of issues/ points of interest.
                  • +
                  • Prepare Management summaries highlighting the outcome of the validation process for each model and ensuring the appropriate use of risk models. Identify the need to implement new models/techniques to manage risk as industry standards evolve.
                  • +
                  • Work with team members to enhance current profitability and pricing models.
                  • +
                  • Provide ad hoc support to Senior Manager in strategic and tactical initiatives as required.
                  • +
                  • Establish and maintain productive working relations with all stakeholders.
                  • + +
                    +

                    +

                    Requirements

                    +
                    +What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    +
                      +
                    • The ideal candidate would have extensive work experience building predictive models with machine learning methods in Python or R.
                    • +
                    • Experience combining data from different databases. Experience discovering and understanding new data elements by utilizing metadata and testing.
                    • +
                    • Strong relationship building skills, ability to collaborate effectively with teams across TDAF and the Bank.
                    • +
                    • Experience in data mining, financial models and data visualization tools (SQL, Tableau, and Excel).
                    • +
                    • Experience building presentations and presenting the findings to upper management.
                    • +
                    • Minimum 5 years in an analytical or consulting role.
                    • +
                    • Demonstrated experience of developing and implementing statistical models (predictive & descriptive)
                    • +
                    • Demonstrated experience in delivering high quality, high impact analytical solutions to business problems
                    • +
                    • Banking or Auto Finance experience is strongly preferred.
                    • +
                    • University Degree combined with data science education preferred.
                    • +
                    +
                    +

                    +

                    Additional Information

                    +
                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    +

                    #LI-Hybrid #datascientist

                    +

                    +

                    Hours

                    +
                    37.5
                    +

                    +

                    Inclusiveness

                    +

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    +

                    +
                    ",,https://jobs.td.com/en-CA/jobs/17931454/data-scientist-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-06-29T19:29:00.000Z,False,0,11,68,https://talenthub.vectorinstitute.ai/jobs/236452260-data-scientist-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17931454/data-scientist-ii-toronto-ca/,expired,2023-06-15T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +f595301b-c2c2-4b63-a836-f260df43f54f,151296949,Canvass Analytics Inc.,Machine Learning Engineer,on_site,"Ontario, Canada",2022-09-16T07:35:03.010Z,"
                    +
                    A Leader in Automating Intelligent Industrial Operations
                    +

                    At Canvass Analytics, we are disrupting the way industrial operational data is being used to make critical business decisions. Our disruptive, leading edge AI-powered analytics platform transforms plant operations, giving them predictive insights that enable autonomous operations.

                    +

                    Canvass AI software platform is empowering Fortune 1,500 industrial companies to transform industrial engineers into digital engineers who are driving data driven decisions in day to day operations. CanvassAnalytics’ customers include leading energy, manufacturing, food and ag, oil and gas, and metals and mining companies around the globe.

                    +

                    We’re an agile scale-up with the operational intelligence of a global business. As we accelerate rapidly, we are constantly looking for driven and ambitious innovators to join our team.

                    Things you should know about our product & teams
                      +
                    • We don’t build machine learning pipelines to solve specific problems: we create pipelines that are able to solve classes of industrial data problems
                    • +
                    • We use Keras, SciKit-Learn,XGBoost, SHAP and regularly research and add new libraries to our stack
                    • +
                    • Our pipelines and micro services are developed predominantly with Python
                    • +
                    • We use Kubeflow to build flexible ML pipelines and Kafka for data pipelines
                    • +
                    • We use CircleCI to continuously test, integrate and deploy code changes, including ML
                    • +
                    What we’re looking for:

                    We’re looking for candidates with:

                    +
                      +
                    • Experience applying machine learning and deep learning algorithms to time-series problems
                    • +
                    • Strong knowledge of probability and statistics, plus a passion for working with data
                    • +
                    • The ability to implement feature engineering and data transformations at scale
                    • +
                    • Solid Python development skills, including experience with NumPy, Pandas and one or more ML libraries
                    • +
                    • An understanding of micro service architecture and containerization
                    • +
                    • A proven track record of delivering well-designed and tested software
                    • +
                    ​Who you are:

                    In general, we’re looking for engineers that exemplify these qualities:

                    +
                      +
                    • Activation & Engagement Our engineers are critical to the progress of our application and our business. We expect our engineers to maintain focus on the business impact of their changes and advocate for work that will drive outcomes instead of just output.
                    • +
                    • Teamwork & Collaboration Our teams are small and extremely collaborative. You will work very closely with DevOps, ProductDevelopment and Customer Success to meaningfully impact the business every week.
                    • +
                    • Excellence & Craft Cloud infrastructure is more than just keeping the lights on 24/7. We need to build secure, scalable systems that are also easy to understand and easy to extend so that they can evolve with our business. We want our engineers to take pride in what they build.
                    • +
                    • Communication & Leadership An engineer can have a large impact by helping to grow the abilities and understanding of their teammates.We’re looking for people who can deliver learning sessions to introduce their technical teammates to new concepts and who can explain and contextualize their work to teammates outside of engineering.
                    • +
                    Your Benefits

                    Some of the benefits you can expect as part of our team include:

                    +
                      +
                    • Awesome team and culture (every day)
                    • +
                    • Generous time off, including vacation and personal days to help rejuvenate
                    • +
                    • Extended health benefits, including drug coverage, dental coverage, and a Health Spending Account
                    • +
                    • Flexible office policy, with options to work remotely
                    • +
                    • Attend Conferences to extend your knowledge and skills
                    • +
                    • Company-provided MacBooks and standing desks
                    • +
                    • Top technology and tools to excel at your role
                    • +
                    • Free team lunches
                    • +
                    Why Join Canvass?

                    Canvass Analytics is using AI to automate operations for theIndustrial sector. We are changing the way industry thinks and uses AI, and it’s getting noticed everywhere. We’ve been recognized by Network World as a Top 10 Hot AI-Powered IoT Startups and by Canadian Innovation Exchange asa Top 20 Most Innovative Canadian Company. Canvass is backed by Google’sGradient Ventures.

                    What\'s it like working at Canvass?

                    This is a place where everyone is all in. From the CEO to the newest hire, we all pitch in where needed and do what it takes. We are a relatively flat organization where everyone is invited to the table, to listen in and be part of the conversation and decisions. We have an inclusive culture.

                    Apply Now

                    Think this job is meant for you but worried you don’t have it all?If you feel you meet 70% of the qualifications listed and you are an innovative team player, express your interest here and we promise to consider your full profile.

                    +

                    You can also follow us on Twitter or LinkedIn to learn more about us.

                    +

                    Canvass Analytics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

                    +
                    ",,https://www.canvass.io/careers/machine-learning-engineer,feed-importer@jobboard.io,,,,2022-09-19T16:41:00.000Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/151296949-machine-learning-engineer-at-canvass-analytics-inc,,expired,2022-09-16T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Scaling (20-499),Application Click Through,Software,Associate,Masters Degree,New Posting, +60109f0f-9662-4da0-86c4-ed8c3a87cb56,151714773,Cohere AI,"Software Engineer, ML Production",on_site,Toronto /,2022-09-18T05:08:02.480Z,"
                    +
                    Who are we?
                    +
                    We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learn to understand the meaning, sentiment, and intent of the words we use in a richness never seen before.
                    +

                    +
                    We recently raised our Series B, signed a multi-year partnership with Google Cloud, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.
                    +

                    +
                    We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, (over 23k citations) and was previously part of Google Brain. Our entire technical team is world-class.
                    +

                    +
                    We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.
                    +

                    +
                    Why this role?
                    +
                    This role sits at the intersection between machine learning and software engineering. It is a high-impact position in delivering large-scale language models that Cohere builds. This role will focus on system designs of model inference runtimes and model production pipelines to ensure that our models run efficiently and reliably in various environments. In addition, this role will work closely with the latest ML frameworks to integrate cutting-edge model runtimes.
                    +

                    +
                    +Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! We are looking for candidates based in Canada for this role.
                    +
                    +
                    +

                    As a Software Engineer, you will:

                    +
                        +
                      • Build model inference framework and infrastructure.
                      • +
                      • Build model production pipeline tools.
                      • +
                      • Integrate various third party model runtimes.
                      • +
                      • Build model performance profiling tools.
                      • +
                      • Optimize frameworks and improve system design.
                      • +
                    +
                    +
                    +

                    You may be a good fit if you have:

                    +
                        +
                      • Extensive software engineering experience writing production-quality code.
                      • +
                      • Experience optimizing systems and tools.
                      • +
                      • Basic understanding of machine learning workflow.
                      • +
                      • Bonus: experience in at least one ML framework such as Tensorflow, PyTorch, or JAXBonus: experience writing kernels for GPUs using CUDA.
                      • +
                    +
                    +
                    +
                    If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                    +

                    +
                    We welcome applicants of all kinds and are committed to providing both an equal opportunity process and work environment. We value and celebrate diversity and strive to create an inclusive work environment for all.
                    +

                    +
                    Our Perks:
                    +
                    🤝 An open and inclusive culture and work environment
                    +
                    🧑‍💻 Work closely with a team on the cutting edge of AI research
                    +
                    🍽 Free daily lunch
                    +
                    🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                    +
                    🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
                    +
                    🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                    +
                    🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend
                    +
                    ✈️ 6 weeks of vacation and shared Canada/US/UK holidays
                    +

                    +
                    #LI-Remote
                    +
                    ",,https://jobs.lever.co/cohere/76faca41-c663-4e51-aee1-c96afa6058b7,feed-importer@jobboard.io,,,,2022-09-19T16:55:00.000Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/151714773-software-engineer-ml-production-at-cohere-ai,https://jobs.lever.co/cohere/76faca41-c663-4e51-aee1-c96afa6058b7,expired,2022-09-18T05:08:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,Masters Degree,New Posting, +a3a67508-8c52-4934-a0d9-5fa71e6f6240,219397717,OMERS,"Senior Business Intelligence Developer, Finance Data & Analytics (15 Month Contract)",on_site,"Ontario, Canada",2023-04-27T17:42:03.273Z,"
                    +

                    +

                    +

                    We are seeking a Senior Business Intelligence Developer to join our Finance Data & Analytics Team on a 15 month contract. In this role, you will report to the Product Manager Data & Analytics and will be responsible for designing, developing, and maintaining Power BI reports, dashboards, and analytics solutions. You will also work closely with stakeholders to gather business requirements, analyze data, and develop solutions using Alteryx and Azure Synapse.

                    +

                    +

                    If you are a highly motivated, experienced Power BI developer with a passion for data visualization and analytics, we encourage you to apply for this exciting opportunity.

                    +

                    +

                    Key Responsibilities:

                    +
                      +
                    • Develop Power BI reports and dashboards that are visually appealing, intuitive, and provide actionable insights to stakeholders
                    • +
                    • Gather and analyze business requirements from stakeholders and translate them into technical specifications for data models, reports, and dashboards
                    • +
                    • Develop and maintain ETL workflows using Alteryx and Azure Synapse to ensure data quality and accuracy
                    • +
                    • Create and maintain data models and relationships in Power BI to ensure data consistency across reports and dashboards
                    • +
                    • Collaborate with other developers, analysts, and stakeholders to ensure successful project delivery and adoption of Power BI solutions
                    • +
                    • Provide training and support to end-users to ensure successful adoption of Power BI solutions
                    • +
                    • Stay up-to-date with the latest Power BI features and best practices and continuously improve the quality and performance of Power BI solutions
                    • +
                    +

                    Qualifications:

                    +
                      +
                    • Bachelor\'s degree in Computer Science, Information Systems, or related field
                    • +
                    • 5+ years of experience developing Power BI reports, dashboards, and analytics solutions
                    • +
                    • Strong experience with Alteryx and Azure Synapse to perform data transformation, data integration, and data preparation
                    • +
                    • Experience with DAX and M formula languages in Power BI to create complex calculations and data models
                    • +
                    • Experience with Power Query to connect to various data sources, transform data, and load data into Power BI
                    • +
                    • Strong SQL skills to write complex queries, optimize data retrieval, and troubleshoot data issues
                    • +
                    • Experience with data visualization best practices and design principles
                    • +
                    • Strong analytical and problem-solving skills
                    • +
                    • Strong communication and collaboration skills
                    • +
                    +

                    +

                    +

                    +

                    +

                    Our story:

                    +

                    Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                    +

                    +

                    OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                    +
                    ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Senior-Business-Intelligence-Developer--Finance-Data---Analytics--15-Month-Contract-_JR-4843?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-05-08T20:35:00.000Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/219397717-senior-business-intelligence-developer-finance-data-analytics-15-month-contract-at-omers,,expired,2023-04-27T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +a758f2cd-9d3f-4086-bc0a-6546a28655ad,222298478,OMERS,"Senior Business Analyst, Data Analytics & Delivery",on_site,"Ontario, Canada",2023-05-04T17:42:02.563Z,"
                    +

                    +

                    +

                    We are seeking a highly motivated and experienced Senior Business Analyst to join our Data Analytics & Delivery team in Capital Markets Finance at OMERS. In this role, you will be responsible for supporting investment data and analytics delivery from platform systems to a custom data product solution for end users. You will work with business stakeholders to identify, analyze, and document business requirements, and work with technical teams to design, test and implement solutions. You will also be responsible for ensuring day to day data quality in our data and analytic reporting.

                    +

                    +

                    Responsibilities:

                    +
                      +
                    • Work with business stakeholders to identify and document business requirements for new and existing data analytics, data sets, and reporting projects.
                    • +
                    • Design and implement solutions that meet business needs, working closely with technical teams to ensure that data solutions are modeled and aligned with the business.
                    • +
                    • Develop and maintain data models to support reporting and analytics needs, ensuring that data is accurate, complete, and consistent.
                    • +
                    • Ensure the quality and accuracy of data used in our analytics and reporting, identifying and resolving data quality issues as needed.
                    • +
                    • Collaborate with cross-functional teams to identify opportunities for process improvement and automation, and to implement solutions that increase efficiency and effectiveness.
                    • +
                    • Work with stakeholders to develop and maintain a suite of reports and dashboards to support business decision-making.
                    • +
                    • Stay up-to-date on emerging trends and best practices in data analytics and reporting, and identify opportunities to incorporate new approaches and/or technologies into our work.
                    • +
                    +

                    +

                    Requirements:

                    +
                      +
                    • Bachelor\'s degree in Business Administration, Computer Science, Mathematics, or a related field.
                    • +
                    • Minimum of 5 years of experience in a business analyst role, with a focus on investment data and analytics
                    • +
                    • Strong analytical skills and the ability to work in teams and translate business requirements into technical solutions
                    • +
                    • Experience developing and maintaining data models
                    • +
                    • Experience with SQL and data visualization tools such as Power BI
                    • +
                    • Excellent communication skills, with the ability to clearly and effectively communicate complex ideas to both technical and non-technical audiences.
                    • +
                    • Strong collaboration skills, with the ability to work effectively in cross-functional teams.
                    • +
                    • Strong problem-solving skills, with the ability to identify issues and develop and implement solutions to address them.
                    • +
                    • Knowledgeable in a variety of investment products
                    • +
                    • Knowledgeable in the data sets found in large a pension/asset manager/asset owner e.g. SMF, trading, accounting, performance, risk, benchmarks
                    • +
                    • Data warehouse or investment application experience is a nice to have
                    • +
                    • Chartered Financial Analyst (CFA) professional designation and/or Financial Risk Manager Certification (FRM) is an asset
                    • +
                    +

                    +

                    +

                    +

                    +

                    Our story:

                    +

                    Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                    +

                    +

                    OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                    +
                    ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Senior-Business-Analyst--Data-Analytics---Delivery_JR-4885?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-05-15T22:43:00.000Z,False,0,7,35,https://talenthub.vectorinstitute.ai/jobs/222298478-senior-business-analyst-data-analytics-delivery-at-omers,,expired,2023-05-04T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +61b0f365-5c88-44b0-bd81-9bdcbcf178cf,221484249,TD Bank Group,Senior Business Intelligence and Reporting Analyst,on_site,"Toronto, ON",2023-05-02T17:24:01.748Z,"
                    +

                    Company Overview

                    +
                    +

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    +

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    +
                    +

                    +

                    Department Overview

                    +
                    +

                    What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.

                    +

                    The Business Intelligence group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization.

                    +

                    This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise.

                    +

                    Joining us in Business Intelligence & Reporting is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                    +
                    +

                    +

                    Job Description

                    +
                    +

                    Are you a big picture thinker? Fantastic! This is exactly the kind of thinking TD needs when it comes to our business intelligence support and analytics. In this role, we need you to take a holistic, high level approach to collection and reporting of data for major projects and initiatives across TD.

                    +

                    As data’s role in providing extraordinary products and services to our customers grows, we’ll look to the valued expertise you’ll provide in this role, to develop, adopt and evolve the best in class reporting and business intelligence capability.

                    +

                    Does this sound like you? You’re a natural leader, and can lead major initiatives and projects, joining business owners and partners to determine business needs and recommend solutions. Moreover, you have a talent for looking at a collection of data and drawing rare insights. In this role, we’ll need you to include those insights and commentary within the existing reporting packages you deliver. Finally, you’ll fit in well if you like to own your space and execute with speed and precision, relishing all challenges as opportunities to dig in, collaborate and take TD into the future of banking.

                    +

                    As a Senior Business Intelligence & Reporting Analyst, you will:

                    +

                    +
                  • Produce specialized reporting packages, dashboards and scorecards for businesses
                  • +
                  • Lead the implementation of initiatives in support of overall business/function strategy
                  • +
                  • Conduct analysis to provide improved BI to inform management leadership team
                  • +
                  • Craft complex and comprehensive BI reporting packages and dashboards utilizing data infrastructure, localized datamarts and external data sources
                  • +
                  • Validate the quality and integrity of the data included in all reporting
                  • +
                  • Develop substantial and insightful commentary/insights on new and existing reporting packages.
                  • +
                  • Work with business partners to understand business objectives and develop valuable reporting and provide ad-hoc data extracts
                  • +
                  • Understand business drivers, definitions and metrics in order to interpret findings, take action and provide relevant direction
                  • +
                  • Lead the development and implementation of portfolio reporting (e.g. acquisition, attrition, portfolio growth, profitability, etc.)
                  • +
                  • Provide (and may develop) complex reporting, analysis, and assessments at the functional or enterprise level
                  • +
                  • Work independently as the senior analyst / expert and may provide technical support to others
                  • +
                  • Maintain expert knowledge of all main data sources for the data used within the business unit and ability to effectively utilize these data sources for reporting purposes
                  • +
                  • Ideally have or acquire knowledge of broader enterprise reporting platforms and data sources and ability to integrate data across the enterprise
                  • +

                    `

                    +
                    +

                    +

                    Requirements

                    +
                    +

                    What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    +
                      +
                    • Undergraduate degree or technical certificate
                    • +
                    • Five (5) or more years relevant experience
                    • +
                    +
                    +

                    +

                    Hours

                    +
                    37.5
                    +

                    +

                    Inclusiveness

                    +

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    +

                    +
                    ",,https://jobs.td.com/en-CA/jobs/18270294/senior-business-intelligence-and-reporting-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-15T22:41:00.000Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/221484249-senior-business-intelligence-and-reporting-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18270294/senior-business-intelligence-and-reporting-analyst-toronto-ca/,expired,2023-05-02T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,,Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +37fbc281-5173-40f3-a93c-f709230def94,219397727,Clearpath,Autonomy Developer - Perception & Calibration,on_site,"Ontario, Canada",2023-04-27T17:42:04.159Z,"

                    Description

                    +

                    Position: Autonomy Developer - Perception & Calibration
                    Location: Kitchener, Ontario
                    Job Type: Full-Time Permanent
                    Experience: 2-5 Years Relevant Work Experience
                    Education: Masters or PhD Degree in a related field
                    Division: OTTO Motors

                    +

                    About OTTO Motors, a division of Clearpath Robotics

                    +

                    At OTTO Motors, we believe material handling is one of the most dangerous and unproductive parts of modern industrial operations. Our mission is to create safer, more productive and fulfilling workplaces with autonomous material handling technology. Most recently, OTTO Motors was recognized among the top 1% of Canada’s highest-performing global private companies by Communitech. Our loyal customers are also the most recognizable brands in the world and trust OTTO Motors to fulfill their mission-critical material handling needs: General Electric, Toyota, Hershey, Caterpillar, Berry Global, and more. For more information about us, visit www.ottomotors.com.

                    +

                    About the Job

                    +

                    The OTTO Motors division of Clearpath is looking for a Perception Developer to work on the Perception Team in the Vehicle Software Group to focus on the development of sensor calibration algorithms.

                    +

                    Clearpath\'s OTTO Motors robots lead the industry in self-driving materials handling, and you can help us push robotics to the next level of intelligence and performance. This means continually learning, inventing, and implementing new algorithms, all with an emphasis on robust and reliable best practice programming. We\'re looking for people excited to develop the next generation of perception algorithms to tackle the toughest challenges in localization and mapping, calibration, sensing, machine learning, computer vision and more.

                    +

                    The perception team’s primary responsibility is the development of the core robotics software responsible for environmental sensing and understanding on all of our vehicles. As a Perception Developer - Calibration and Sensors you will develop & maintain algorithms and processes for the complete continuous calibration of robotic systems and processing of sensor data. You will be creating solutions to the challenging problems of high accuracy intrinsic and extrinsic calibration of heterogeneous sensor configurations and actuators as well as online calibration and sensor processing and monitoring for a wide range of possible robotic platforms. You will be responsible for evaluating state-of-the-art ideas from academia and industry, and taking these ideas out of the lab and into the real world, identifying opportunities to improve, and developing high-performance software to run in real time on the robots.

                    +

                    About You

                    +

                    For the role of Perception Developer - Calibration we are seeking an experienced developer to support, maintain, and extend robotic calibration solutions for a variety of applications.

                    +

                    Responsibilities:

                    +
                      +
                    • Create robust innovative solutions to the problems of robotic calibration and perception
                    • +
                    • Development of custom calibration, sensor monitoring, sensor filtering, and perception algorithms
                    • +
                    • Evaluation of new sensing technology and robotic platforms
                    • +
                    • Work with production to develop processes for sensor calibration methods
                    • +
                    • Develop integration and unit tests for perception features
                    • +
                    • Supporting deployment and testing of robotic systems
                    • +
                    • Stay up to date with the latest developments in industry and academia
                    • +
                    +

                    Skills and experience:

                    +
                      +
                    • Strong theoretical and practical understanding of the challenges and solutions to the problems of robotic system calibration
                    • +
                    • Practical knowledge of sensing technologies including LIDAR, Cameras, IMU, and their error models
                    • +
                    • Familiarity with robotic platforms and their motion models such as differential, ackerman, bicycle, etc.
                    • +
                    • Proficient software development skills in modern C++
                    • +
                    • Proficiency with Linux environment
                    • +
                    +

                    Bonus Points For:

                    +
                      +
                    • Hands-on experience with real world autonomous systems
                    • +
                    • Experience writing efficient, high performance code
                    • +
                    • Experience with ROS / Robotics Systems.
                    • +
                    • Proficiency with linear algebra and non-linear optimization including libraries such as ceres solver and Eigen
                    • +
                    • Experience with computer vision libraries such as PCL and OpenCV.
                    • +
                    • Experience with manufacturing tolerances of robotic systems
                    • +
                    +

                    +

                    Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, gender identity/expression, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                    +

                    ",,http://jobs.jobvite.com/clearpath/job/oKM5mfwH,feed-importer@jobboard.io,,,,2023-05-16T16:20:07.002Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/219397727-autonomy-developer-perception-calibration-at-clearpath,,expired,2023-04-27T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Manufacturing ,Mid-Senior Level,Masters Degree,New Posting, +06b20f10-b0e5-45f0-ae6f-0428faef8223,226981546,BMO Financial Group,Anaplan Modeler,on_site,"Ontario, Canada",2023-05-18T15:39:01.696Z,"
                    +

                    Application Deadline:

                    05/18/2023

                    +

                    +

                    Address:

                    VIRTUAL(R)59 - HomeRes - ON - BMO

                    +

                    +

                    Job Family Group:

                    Data Analytics & Reporting

                    +

                    +

                    +

                    +

                    Applies knowledge of advanced analytic algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

                    +
                      +
                    • Acts as a trusted advisor to assigned business/group.
                    • +
                    • Influences and negotiates to achieve business objectives.
                    • +
                    • Recommends and implements solutions based on analysis of issues and implications for the business.
                    • +
                    • Assists in the development of strategic plans.
                    • +
                    • Identifies emerging issues and trends to inform decision-making.
                    • +
                    • Understands and analyzes complex business problem, then formulates data-driven hypotheses to drive business value.
                    • +
                    • Builds effective relationships with internal/external stakeholders and ensures alignment.
                    • +
                    • Supports data collection, integration, and retention requirements for data.
                    • +
                    • Develops experimental design approaches to validate findings or test hypotheses.
                    • +
                    • Defines innovative data solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets.
                    • +
                    • Diagnoses and resolves predictive / analytical model performance issues while monitoring system performance and implementation of efficiency improvements.
                    • +
                    • Applies innovative and best practices to advanced analytics services to ensure high quality standards.
                    • +
                    • Sets up change control and testing processes to ensure the quality and consistency of ongoing maintenance work.
                    • +
                    • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • +
                    • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                    • +
                    • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
                    • +
                    • Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
                    • +
                    • Applies scripting / programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                    • +
                    • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, refine hypotheses.
                    • +
                    • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                    • +
                    • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                    • +
                    • Performs experimental design approaches to validate finding or test hypotheses.
                    • +
                    • Uses the appropriate algorithms to discover patterns.
                    • +
                    • Builds effective relationships with internal/external stakeholders and ensures alignment.
                    • +
                    • Supports development of tools and delivers training for data analytics and AI.
                    • +
                    • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • +
                    • Leads/participates in the design, implementation and management of core business/group processes.
                    • +
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                    • +
                    • Provides specialized consulting, analytical and technical support.
                    • +
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • +
                    • Works independently and regularly handles non-routine situations.
                    • +
                    • Broader work or accountabilities may be assigned as needed.

                      Qualifications:

                      +
                    • +
                    • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                    • +
                    • Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience
                    • +
                    • Experience with distributed computing language (e.g. Hive / Hadoop/ Spark) & cloud technologies (e.g. AWS Sagemaker, AzureML).
                    • +
                    • Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, , Perl) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
                    • +
                    • Deep proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.
                    • +
                    • Deep knowledge and technical proficiency gained through extensive education and business experience.
                    • +
                    • Verbal & written communication skills - In-depth.
                    • +
                    • Collaboration & team skills - In-depth.
                    • +
                    • Analytical and problem solving skills - In-depth.
                    • +
                    • Influence skills - In-depth.
                    • +
                    • Data driven decision making - In-depth.
                    • +
                    +

                    +

                    +

                    We’re here to help

                    +

                    +

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    +

                    +

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    +

                    +

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    +

                    +

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    +

                    +

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    +
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Virtual-ON-CAN/Anaplan-Modeler_R230009160?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-05-22T15:44:03.460Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/226981546-anaplan-modeler-at-bmo-financial-group,,expired,2023-05-18T15:39:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, 41f95990-5296-443f-a7c9-c7eb69b5c533,221076236,Scotiabank,Velocity - Global Risk Management Internship/Co-op - Fall 2023,on_site,Canada : Ontario : Toronto,2023-05-01T17:22:03.650Z,"

                    @@ -278707,76 +287577,414 @@ ee694135-d559-4d58-9dc2-6eee6dc73d29,226183484,RBC,Senior Analytics Manager,on_s

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                    ",,https://jobs.rbc.com/ca/en/job/R-0000059033/Senior-Analytics-Manager,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-05-22T15:52:04.312Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/226183484-senior-analytics-manager-at-rbc,,expired,2023-05-16T15:47:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Vector Quick Apply,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -06b20f10-b0e5-45f0-ae6f-0428faef8223,226981546,BMO Financial Group,Anaplan Modeler,on_site,"Ontario, Canada",2023-05-18T15:39:01.696Z,"
                    -

                    Application Deadline:

                    05/18/2023

                    +4cac1101-2886-497b-919b-182ea620e89a,222290806,TD Bank Group,Model Risk Management Intern/Co-op,on_site,"Toronto, ON",2023-05-04T17:24:07.485Z,"
                    +

                    Company Overview

                    +
                    +

                    All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                    +

                    Why TD?

                    +

                    TD’s Colleague Promise: A better you. A better us.

                    +

                    A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                    +

                    -

                    Address:

                    VIRTUAL(R)59 - HomeRes - ON - BMO

                    -

                    -

                    Job Family Group:

                    Data Analytics & Reporting

                    -

                    -

                    -

                    -

                    Applies knowledge of advanced analytic algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

                    +

                    Department Overview

                    +
                    +

                    Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                    +

                    Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                      -
                    • Acts as a trusted advisor to assigned business/group.
                    • -
                    • Influences and negotiates to achieve business objectives.
                    • -
                    • Recommends and implements solutions based on analysis of issues and implications for the business.
                    • -
                    • Assists in the development of strategic plans.
                    • -
                    • Identifies emerging issues and trends to inform decision-making.
                    • -
                    • Understands and analyzes complex business problem, then formulates data-driven hypotheses to drive business value.
                    • -
                    • Builds effective relationships with internal/external stakeholders and ensures alignment.
                    • -
                    • Supports data collection, integration, and retention requirements for data.
                    • -
                    • Develops experimental design approaches to validate findings or test hypotheses.
                    • -
                    • Defines innovative data solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets.
                    • -
                    • Diagnoses and resolves predictive / analytical model performance issues while monitoring system performance and implementation of efficiency improvements.
                    • -
                    • Applies innovative and best practices to advanced analytics services to ensure high quality standards.
                    • -
                    • Sets up change control and testing processes to ensure the quality and consistency of ongoing maintenance work.
                    • -
                    • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                    • -
                    • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                    • -
                    • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
                    • -
                    • Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
                    • -
                    • Applies scripting / programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                    • -
                    • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, refine hypotheses.
                    • -
                    • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                    • -
                    • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                    • -
                    • Performs experimental design approaches to validate finding or test hypotheses.
                    • -
                    • Uses the appropriate algorithms to discover patterns.
                    • -
                    • Builds effective relationships with internal/external stakeholders and ensures alignment.
                    • -
                    • Supports development of tools and delivers training for data analytics and AI.
                    • -
                    • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                    • -
                    • Leads/participates in the design, implementation and management of core business/group processes.
                    • -
                    • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                    • -
                    • Provides specialized consulting, analytical and technical support.
                    • -
                    • Exercises judgment to identify, diagnose, and solve problems within given rules.
                    • -
                    • Works independently and regularly handles non-routine situations.
                    • -
                    • Broader work or accountabilities may be assigned as needed.

                      Qualifications:

                      +
                    • Leadership talks with key Leaders from across the organization
                    • +
                    • Lunch and Learns on topics such as Innovation
                    • +
                    • Diversity and Inclusion and Personal Branding and so much more
                    • +
                    +

                    For TD Bank Group to grow profitably, it must selectively take and manage risks. TD recognizes that a strong risk culture and approach to risk management is fundamental to our success.

                    +

                    TD’s risk management approach is comprehensive and proactive and combines experience and specialized knowledge of individual business segments, risk professionals, and the corporate oversight functions. It is based on enabling TD’s business to understand their risks and developing the policies, processes and controls required to manage these risks appropriately in line with the Bank’s strategy and risk appetite.

                    +
                    +

                    +

                    Job Description

                    +
                    +

                    Risk Management is a key Corporate Function supporting the front-line businesses within TD with over 1,800 employees in offices in Canada, United States, UK and Singapore. We partner internally with many different areas of TD as well as our business partners to ensure we exceed our client’s expectations, and employees to focus on a positive employee experience. We work externally with regulators to align with industry standards and benchmark ourselves against best practices.

                    +

                    As a student part of the TD Risk Management Co-op program you will have the opportunity to join different development workshops, seminars and lunch and learns. We will provide you the necessary tools, resources and guidance to achieve both business and personal goals.

                    +
                    +

                    +

                    Requirements

                    +
                    +
                      +
                    • Currently enrolled in an undergraduate degree majoring in Business, Statistics, Mathematics, Financial Analysis, Risk Management, Computer Science or equivalent, with the intent of going back to school at of the start of your work term
                    • +
                    • Relational database SQL skills for data mining, extraction and statistical analysis.
                    • +
                    • Strong excel Advanced MS Excel and MS Access for data analysis (Pivot, Filter, Formulas, Vlookup, VBA)
                    • +
                    • Dedicated, detail oriented, and an ability to propose creative solutions
                    • +
                    • Written & verbal communication skills
                    • +
                    • Quick learner
                    • +
                    • High degree of personal initiative
                    • +
                    +
                    +Skills that are not required, but considered an asset:

                    +
                      +
                    • Knowledge of Financial Industry/Risk Management
                    • +
                    • Experience using Business Intelligence Reporting tools such as Cognos or Tableau
                    • +
                    • Microsoft Visio would be an asset
                    • +
                    • MS Project
                    • +
                    +
                    +
                    +

                    +

                    Additional Information

                    +
                    +

                    Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.

                    +
                      +
                    • This position is a 4-month work term and will commence Sept 5th – Dec 22nd, 2023
                    • +
                    • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                    • +
                    • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                    • +
                    • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
                    • +
                    +

                    LOCATION
                    Hybrid work model, centered in Toronto. TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements.

                    +
                    +

                    +

                    Start Date

                    +
                    – Fall
                    +

                    +

                    Inclusiveness

                    +

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    +

                    +
                    ",,https://jobs.td.com/en-CA/jobs/18306694/model-risk-management-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-23T21:28:00.000Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/222290806-model-risk-management-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18306694/model-risk-management-intern-co-op-toronto-ca/,expired,2023-05-04T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +0e30e958-8839-4028-a5f6-3d69600dc115,217992035,Clearpath,Senior Autonomy Developer - Calibration and Sensors,on_site,"Ontario, Canada",2023-04-23T17:42:04.481Z,"

                    Description

                    +

                    Position: Senior Autonomy Developer - Calibration and Sensors
                    Location: Kitchener, Ontario
                    Job Type: Full-Time Permanent
                    Experience: 3+ Years Relevant Work Experience
                    Education: Masters or PhD Degree in a related field
                    Division: OTTO Motors

                    +


                    About OTTO Motors, a division of Clearpath Robotics

                    +

                    At OTTO Motors, we believe material handling is one of the most dangerous and unproductive parts of modern industrial operations. Our mission is to create safer, more productive and fulfilling workplaces with autonomous material handling technology. Most recently, OTTO Motors was recognized among the top 1% of Canada’s highest-performing global private companies by Communitech. Our loyal customers are also the most recognizable brands in the world and trust OTTO Motors to fulfill their mission-critical material handling needs: General Electric, Toyota, Hershey, Caterpillar, Berry Global, and more. For more information about us, visit www.ottomotors.com.

                    +

                    About the Job

                    +

                    The OTTO Motors division of Clearpath is looking for a Perception Developer to work on the Perception Team in the Vehicle Software Group to focus on the development of sensor calibration algorithms.

                    +

                    Clearpath\'s OTTO Motors robots lead the industry in self-driving materials handling, and you can help us push robotics to the next level of intelligence and performance. This means continually learning, inventing, and implementing new algorithms, all with an emphasis on robust and reliable best practice programming. We\'re looking for people excited to develop the next generation of perception algorithms to tackle the toughest challenges in localization and mapping, calibration, sensing, machine learning, computer vision and more.

                    +

                    The perception team’s primary responsibility is the development of the core robotics software responsible for environmental sensing and understanding on all of our vehicles. As a Perception Developer - Calibration and Sensors you will develop & maintain algorithms and processes for the complete continuous calibration of robotic systems and processing of sensor data. You will be creating solutions to the challenging problems of high accuracy intrinsic and extrinsic calibration of heterogeneous sensor configurations and actuators as well as online calibration and sensor processing and monitoring for a wide range of possible robotic platforms. You will be responsible for evaluating state-of-the-art ideas from academia and industry, and taking these ideas out of the lab and into the real world, identifying opportunities to improve, and developing high-performance software to run in real time on the robots.

                    +

                    About You

                    +

                    For the role of Perception Developer - Calibration we are seeking an experienced developer to support, maintain, and extend robotic calibration solutions for a variety of applications.

                    +

                    Responsibilities:

                    +
                      +
                    • Create robust innovative solutions to the problems of robotic calibration and perception
                    • +
                    • Development of custom calibration, sensor monitoring, sensor filtering, and perception algorithms
                    • +
                    • Evaluation of new sensing technology and robotic platforms
                    • +
                    • Work with production to develop processes for sensor calibration methods
                    • +
                    • Develop integration and unit tests for perception features
                    • +
                    • Supporting deployment and testing of robotic systems
                    • +
                    • Stay up to date with the latest developments in industry and academia
                    • +
                    +

                    Skills and experience:

                    +
                      +
                    • Strong theoretical and practical understanding of the challenges and solutions to the problems of robotic system calibration
                    • +
                    • Practical knowledge of sensing technologies including LIDAR, Cameras, IMU, and their error models
                    • +
                    • Familiarity with robotic platforms and their motion models such as differential, ackerman, bicycle, etc.
                    • +
                    • Proficient software development skills in modern C++
                    • +
                    • Proficiency with Linux environment
                    • +
                    +

                    Bonus Points For:

                    +
                      +
                    • Hands-on experience with real world autonomous systems
                    • +
                    • Experience writing efficient, high performance code
                    • +
                    • Experience with ROS / Robotics Systems.
                    • +
                    • Proficiency with linear algebra and non-linear optimization including libraries such as ceres solver and Eigen
                    • +
                    • Experience with computer vision libraries such as PCL and OpenCV.
                    • +
                    • Experience with manufacturing tolerances of robotic systems
                    • +
                    +

                    +

                    Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, gender identity/expression, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                    +

                    ",,http://jobs.jobvite.com/clearpath/job/o4dRlfwd,feed-importer@jobboard.io,,,,2023-05-24T19:22:04.460Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/217992035-senior-autonomy-developer-calibration-and-sensors-at-clearpath,,expired,2023-04-23T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +03e1029d-7c33-4823-8619-c1972ed70c21,218282684,Scotiabank,"First Nations, Metis, Inuit - Manager, Data and Analytics, CID&A (Remote or Hybrid)",on_site,Canada : Ontario : Ottawa || Canada : Ontario : Kingston || Canada : Ontario : Sudbury || Canada : Ontario : Thunder Bay || Canada : Ontario : Toronto,2023-04-24T17:22:02.114Z,"

                    +

                    +

                    +

                    +

                    Requisition ID: 177225

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    +

                    +

                    First Nations, Metis, Inuit - Manager, Data and Analytics, CID&A (Remote or Hybrid)

                    +

                    +

                    This posting is intended for Indigenous Peoples as a Special Program under the Human Rights Act and the Employment Equity Act. Indigenous Peoples include status, non-status First Nation, Métis, and Inuit People under the Employment Equity Act within Canada. Scotiabank provides extended benefits to Indigenous employees aimed at supporting and promoting their culture.

                    +

                    +

                    Who We Are:

                    +

                    +

                    The Customer Insights, Data & Analytics team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data.

                    +

                    +

                    Are you the right person for the role?

                    +


                    • You have strong business acumen, and you excel at developing and communicating analytics insights.
                    • You are not afraid to challenge the status quo.
                    • You have a deep curiosity about data, processes, and customer behaviour. You are always asking “why?”
                    • You can pivot and adapt to change.
                    • You spend your free time tinkering with new technologies or building apps on the side.
                    • You want to find a solution to real life problems that will flip the multi-billion-dollar financial industry on its head.
                    • You have a high aptitude for diving in, taking ownership and picking up new things.
                    • You're eager to share your ideas in a team environment.
                    • You have an open, honest, and transparent communication style, including the ability to distil technical details into human terms.

                    +


                    What will you do in this role?

                    +


                    • Champion change in the bank by promoting data literacy, data analytics, and data informed decision making.
                    • Build, manage and grow relationships with product, design, and engineering teams by enabling data driven decision making.
                    • Understand performance trends, identify opportunities for growth, and provide actionable insights.
                    Work cross functionally to define data strategy and analytics roadmap for business initiatives, collaborating with various teams across the Bank.
                    • Proactively identify, and drive analytics solutions to improve customer experience in collaboration with Data Scientists.
                    • Deep dive into data to identify opportunities, influence product development, and/or overall functional and business strategies.
                    • Collaborate with data scientists, data engineers, and operational teams to create, deliver and implement analytics solutions or data products.
                    • Communicate and coordinate with teams to implement data-driven strategies while measuring progress
                    • Conduct analysis and present performance results to business line stakeholders.
                    • Develop and produce analyses, reports, and insights for partners that help drive tactical, operation, and/or strategic decision making in support of Digital Banking goals.

                    +


                    Do you have the skills that will enable you to succeed in this role?

                    +

                    +

                    • You have 3-5+ years of experience with data management, data analysis, project management, data governance or advanced analytics.
                    • You have a certification or university degree in business or in a relevant STEM discipline (Computer Sciences, Computer/Software Engineering, Mathematics, Statistics) or equivalent experience.
                    • Strong project management and communication skills (both oral and written).
                    • Proven data literacy and excellent storytelling — The ability to simplify and describe complex analytical concepts to stakeholders outside of analytics.
                    • Ability to manage process and planning, facilitate teamwork, and coordinate execution of multiple deliverables.
                    • You are knowledgeable about Big Data ecosystem tools (e.g., Hive, Pig, Sqoop, Spark, Google Cloud Platform) and are comfortable with creating large queries.
                    • You are familiar with using visualization tools like Power BI, Tableau or QlikView.
                    • You have excellent analytical skills and can interpret and consolidate large amounts of information in actionable recommendations. You use sound judgment in the creation of analysis, validation, interpretation, and presentation of findings.

                    +

                    +

                    #riskjobsontario

                    +

                    +

                    +

                    Location(s): Canada : Ontario : Ottawa || Canada : Ontario : Kingston || Canada : Ontario : Sudbury || Canada : Ontario : Thunder Bay || Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Ottawa-First-Nations%2C-Metis%2C-Inuit-Manager%2C-Data-and-Analytics%2C-CID&A-%28Remote-or-Hybrid%29-ON/569727317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-24T19:49:52.944Z,False,0,2,15,https://talenthub.vectorinstitute.ai/jobs/218282684-first-nations-metis-inuit-manager-data-and-analytics-cid-a-remote-or-hybrid-at-scotiabank,https://jobs.scotiabank.com/job/Ottawa-First-Nations%2C-Metis%2C-Inuit-Manager%2C-Data-and-Analytics%2C-CID&A-%28Remote-or-Hybrid%29-ON/569727317/,expired,2023-04-24T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +e3ffba5a-61c1-4a3a-9155-47c83dcca11e,226184574,TELUS,"Product Owner, Data Engineering",on_site,"Ontario, Canada",2023-05-16T16:15:05.894Z,"
                    +
                    +

                    Description

                    +
                    +


                    Join our team and what we\'ll accomplish together

                    +

                    +

                    The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data, and a data-product and data platform oriented culture while always keeping an eye on the horizon, preparing for the next big thing. We are entrepreneurial and passionate, believers that so much more is possible and can be achieved by creating value and great outcomes for our customers, team members, communities, and environment and that through meaningful transformation we can integrate dynamic change in our professional lives.

                    The Data Strategy and Enablement team has started its journey towards enabling further digital transformation in our data and advanced analytics space. Composed of Data Engineers, Business Systems Analysts and Data Architects our team focuses on building and enabling best-in-class data platforms with a focus on migrating our major on premise data warehouses to Google’s Cloud Platform. Join a dynamic team that is paving the way towards digital transformation and enable teams across the organization to make better use of data. Make use of your analytical skills and ability to analyze and assess the impact of data on upstream and downstream systems and help clarify and define cloud-related business processes and best practices across TELUS. Help architect the transformation and modernization of our enterprise data solutions and the integration of Google Cloud and native GCP services and 3rd party data technologies.

                    +


                    What you’ll do

                    +

                    +
                      +
                    • Lead engagement with various Business Unit (BU) stakeholders across TELUS to understand their business and need for insights.
                    • +
                    • Influence how BU stakeholders approach business challenges and opportunities by driving the adoption of a data driven mindset.
                    • +
                    • Play the critical role of “translator” i.e. translating business problems into data problems and resolving these problems to generate value.
                    • +
                    • Facilitate collaboration between BU stakeholders and our team and lead solutioning including use-case development, defining insight products and their roadmap and end-to-end automation efforts required to bring products to production. Track and prioritize the development of insight products on an ongoing basis and bring visibility to any roadblocks
                    • +
                    • Support development of our team’s strategy, develop/present materials to TELUS executive leadership on an ongoing basis
                    • +
                    • Support in measuring and tracking EBITDA-based value contribution by our team through collaboration with BU stakeholders and Finance
                    • +
                    +
                    +
                    +
                    +

                    Qualifications

                    +
                    +


                    What you bring

                    +

                    +
                      +
                    • You are recognized for addressing business needs via your innovative approach and application of AI and other advanced analytical techniques
                    • +
                    • You are sought out for your skills in strategy development, problem-solving, structured thinking, advanced communication (both verbal and written), project management and bring 5 or more years of hands-on work and practical business experience in the above areas.
                    • +
                    • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences.
                    • +
                    • You are familiar with cloud computing platforms - GCP, AWS, Azure.
                    • +
                    • You are agile and have a bias for action, removing roadblocks to get results fast
                    • +
                    • You are experienced with Subscriber Analysis Application (SAA) from Scorecard Systems for RGU insights
                    • +
                    • You are experienced with Informatica IICS and Powercenter ETL tools
                    • +
                    • You have a strong SQL foundation
                    • +
                    +



                    Great-to-haves

                    +
                      +
                    • You are experienced in the data engineering field and comfortable in leading projects in it.
                    • +
                    • You have GCP or other cloud certification.
                    • +
                    • Scrum Master Certified
                    • +
                    • PMP Certified
                    • +
                    +
                    +
                    +
                    ",,https://careers.telus.com/job/Toronto-Product-Owner%2C-Data-Engineering-ON/567097217/,feed-importer@jobboard.io,,,,2023-05-25T20:59:00.000Z,False,0,4,6,https://talenthub.vectorinstitute.ai/jobs/226184574-product-owner-data-engineering-at-telus,,expired,2023-05-16T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Associate,No Degree,New Posting, +375f52c0-6f39-4c0e-bec7-5074bb5b70bb,226183204,CIBC,"Senior Consultant, Digital Analytics Decision Science",on_site,"Ontario, Canada",2023-05-16T15:32:08.212Z,"
                    +

                    We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                    +

                    +

                    At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                    +

                    +

                    To learn more about CIBC, please visit CIBC.com

                    +

                    +

                    Job Description

                    +

                    +

                    Job Description

                    +

                    +

                    What You’ll Be Doing

                    +

                    Direct Financial Services (DFS) provides personal and business clients across Canada with direct-to-consumer products and services through strong network of sites and Contact Centers. Lines of business include; CIBC Investor’s Edge, Simplii Financial, and Alternate Solutions Group.

                    +

                    +

                    You’ll be supporting the Data Analytics and Decision Science Director in the Investor’s Edge (IE) division in providing advanced analytics services to drive digital sales and business results. You’ll lead the design, development, and implementation of actionable analytics solutions which help in strengthening the competitive advantage for IE. You’ll collaborate with sales, marketing, product and operation teams to identify and address business needs by leveraging data and analytics.

                    +

                    +

                    At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

                    +
                      +
                    • +Digital Analytics & Business Insights
                        +
                      • Actively lead the development, delivery, and continuous improvement of complex data analytics and visualization solutions.
                      • +
                      • Prepare presentations that clearly and concisely communicate key findings and objectives.
                      • +
                    • -
                    • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                    • -
                    • Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience
                    • -
                    • Experience with distributed computing language (e.g. Hive / Hadoop/ Spark) & cloud technologies (e.g. AWS Sagemaker, AzureML).
                    • -
                    • Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, , Perl) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
                    • -
                    • Deep proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.
                    • -
                    • Deep knowledge and technical proficiency gained through extensive education and business experience.
                    • -
                    • Verbal & written communication skills - In-depth.
                    • -
                    • Collaboration & team skills - In-depth.
                    • -
                    • Analytical and problem solving skills - In-depth.
                    • -
                    • Influence skills - In-depth.
                    • -
                    • Data driven decision making - In-depth.
                    • +
                    • +Customer segmentation and Predictive modeling
                        +
                      • Utilize expertise in Statistical and Machine Learning to develop predictive models for customer segmentation and targeted marketing campaigns.
                      • +
                      • Mine and analyze data from company databases and provide insights to drive optimization of product development, marketing techniques and business strategies.
                      • +
                      • Identify new digital sales opportunities to address current or potential opportunities to grow revenue and improve profitability.
                      +
                    • +
                    • +Campaign design and management
                        +
                      • Responsible for pre-campaign analysis, understanding key customer journeys and segments across digital channels to provide recommendations on how to personalize and optimize cross channel strategy to improve customer engagement and drive sales.
                      • +
                      • Responsible for in-campaign analysis, analyzing the effectiveness of marketing campaigns by monitoring E2E campaign activities daily.
                      • +
                      • Frequently liaise with key partners and peers to understand campaign requirements, provide expertise on proper experiment design, determine key performance indicators, collect and analyze data..
                      • +
                      • Work with peers and technology teams to design post-campaign marketing performance reporting. Communicate insights and recommendations to improve campaign effectiveness.
                      • +
                      +
                    • +
                    • +Data Management –
                        +
                      • +Work collaboratively with partners to augment/acquire internal and external data and tools. Contribute to the development and management of data sourcing process.
                      • +
                      • Perform data exploration and integration. Ensure the accuracy and integrity of data.
                      • +
                      • Develop strategies that ensure data accuracy, consistency, timely capture and standardization at the various levels.
                      • +
                      • Design solutions to support optimization and automation of processes and reporting.
                      • +
                      +
                    • +
                    +

                    +

                    How You’ll Succeed

                    +
                      +
                    • +Data Science Expertise: Provide advanced analytics solutions to solve business problem leveraging traditional statistical, machine learning and optimization techniques. Ability to conduct self-directed research, typically using non-traditional resources to solve business problems.
                    • +
                    • +Business Consulting: Conduct business problem assessment independently. Gather relevant information related to business processes, functions and operations to evaluate data credibility and quality. Utilize creative thinking to modify or select the most suitable procedure/approach to solve a business problem. Perform in-depth analysis for the purpose of identifying revenue generating and cost saving opportunities, developing proposals and make recommendations for model usage to the downstream partners.
                    • +
                    • +Innovative Problem Solving – Actively lead the development, delivery, and continuous improvement of complex data analytics and visualization solutions. Focus on quality, depth of analysis, and clear communication of actionable recommendations.
                    • +
                    • +Collaboration – Continuous collaboration with internal and external partners is key to success. Be open-minded, constantly acquire new knowledge, and share ideas to improve existing processes.
                    • +
                    +

                    +

                    Who You Are

                    +
                      +
                    • +You can demonstrate experience in working with large datasets including both structured and unstructured data and related tools (e.g., SQL, Hive, PySpark). Must have experience coding in high level programming languages such as Python, SAS or PySpark. Extensive experience with PySpark is desired.
                    • +
                    • +You have a degree in Computer Science, Engineering, Mathematics, Statistics, Operational Research, Physics, Economics or related quantitative field.
                    • +
                    • +You\'re digitally savvy. You have technical knowledge specific to digital marketing & analytics, you seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends. Experience with Adobe Analytics and funnel.io would be preferred.
                    • +
                    • Strong analytic skills including a track record of making recommendations based on data driven business insights.
                    • +
                    • Working knowledge of marketing optimization tools and are proficient in using them to derive digital campaign performance.
                    • +
                    • +You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.
                    • +
                    • +Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.
                    • +
                    +

                    +

                    +

                    What you need to know

                    +
                      +
                    • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                    • +
                    • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                    • +
                    +

                    +

                    +

                    +

                    -

                    -

                    We’re here to help

                    -

                    -

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    -

                    -

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    -

                    -

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    -

                    -

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    -

                    -

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    -
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Virtual-ON-CAN/Anaplan-Modeler_R230009160?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-05-22T15:44:03.460Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/226981546-anaplan-modeler-at-bmo-financial-group,,expired,2023-05-18T15:39:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +

                    Job Location

                    Toronto-81 Bay, 16th Floor

                    Employment Type

                    Regular

                    +

                    Weekly Hours

                    37.5

                    Skills

                    +

                    Strategic Objectives
                    ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Consultant--Digital-Analytics-and-Optimization_2303750?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-05-25T15:37:01.898Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/226183204-senior-consultant-digital-analytics-decision-science-at-cibc,,expired,2023-05-16T15:32:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +cf53e8bd-3fe6-458d-a345-45ea55f76e33,219389356,Loblaw Companies Ltd,Data Engineer,on_site,"Ontario, Canada",2023-04-27T17:14:01.494Z,"
                    +

                    Referred applicants should not apply directly to this role.

                    +

                    All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                    +

                    +

                    +

                    Location:

                    500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

                    +

                    +

                    When you hire great people, great things can happen.

                    +

                    PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

                    +

                    +

                    Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

                    +

                    +

                    Our mission is to build the PC Bank Payment & Rewards Data Platform, which would serve as an integrated data platform to perform complex big-data processing, advanced analytics, and machine learning. The Data Engineer position is a fantastic opportunity to join our expanding PC Bank Payment & Rewards Engineering team.

                    +

                    +

                    The Data Engineering team is looking for passionate engineers working in a fast-paced organization using Agile/Scrum methodology to deliver excellent solutions for our demanding customer service, operations requirements, and resolving the engineering challenges of building robust and scalable data systems aligned to enterprise data strategy.

                    +

                    +

                    You will participate in defining technical solutions, code architectures, and will be responsible for developing and delivering production-ready code. The ideal candidate will be someone who genuinely enjoys problem-solving and writing high-quality code to build robust, highly distributed, and scalable data processing systems and pipelines. Some of the challenges the candidate would tackle are:

                    +
                      +
                    • Design, implement and operate PC Bank’s core datasets that have extreme requirements on scalability, reliability, maintainability, flexibility, auditability, and quality
                    • +
                    • Design large scale streaming and batch data pipelines (billions of data points) that involve analyzing transactions over a long period without reprocessing vast amounts of data
                    • +
                    • Perform data profiling and source to target mapping analysis for the best design
                    • +
                    • +Collaborate with business solution analysts, other engineers, solution architects, and other team members to innovate and evolve our datasets to data products to create a single coherent platform with sources of truth that serve a plethora of stakeholders within PC Bank
                    • +
                    +

                    What you’ll do:

                    +
                      +
                    • Apply your expertise in data and software engineering to design and implement data products that meet extreme requirements on scalability, reliability, maintainability, flexibility, auditability, and quality
                    • +
                    • Be T-Shaped. Your primary area is data engineering, but you are comfortable working in a secondary area of expertise such as data presentation/visualization, backend engineering, or data modeling (SQL, NoSQL, Graph & Time-series)
                    • +
                    • Work closely with cross-functional teams of data, backend and frontend engineers, product owners, technical product owners, and technical support personnel
                    • +
                    • Gaining technical expertise in building a data platform at scale to solve business, product, and technical use cases
                    • +
                    • Getting hands-on experience with technologies such as Elasticsearch, Apache Airflow, Apache Kafka, Apache Beam, Apache Spark, Hive, HDFS, Kubernetes (Openshift)
                    • +
                    • +Getting hands-on experience with Google Cloud Platform and technologies such as BigQuery, Cloud Composer, Pub/Sub, Dataflow, Dataproc, GCS, Looker, and other cloud-native offerings in GCP
                    • +
                    +

                    Who you are:

                    +
                      +
                    • An undergraduate or Master’s degree in Computer Science or equivalent engineering experience
                    • +
                    • 2+ years of professional software engineering and programming experience (Java, Python) with a focus on designing and developing complex data-intensive applications
                    • +
                    • Familiarity with architecture and design (patterns, reliability, scalability, quality) of complex systems
                    • +
                    • Advanced coding skills and practices (concurrency, distributed systems, functional principles, performance optimization)
                    • +
                    • Professional experience working in an agile environment
                    • +
                    • Strong analytical and problem-solving ability
                    • +
                    • Strong written and verbal communication skills
                    • +
                    • Experience in operating and maintaining production-grade software
                    • +
                    • +Comfortable with tackling very loosely defined problems and thrive when working on a team which has autonomy in their day to day decisions
                    • +
                    +

                    Preferred Skills:

                    +
                      +
                    • Knowledge of software and data engineering best practices
                    • +
                    • Experience with large scale distributed data technologies and tools
                    • +
                    • Experience pulling data from a variety of data source types including Mainframe (EBCDIC), Fixed Length and delimited files, databases (SQL, NoSQL, Time-series)
                    • +
                    • Strong coding skills for analytics and data engineering (Java, Python, and Scala)
                    • +
                    • Experience performing analysis with large datasets in a cloud-based environment, preferably with an understanding of Google’s Cloud Platform (GCP)
                    • +
                    • Understands how to translate business requirements to technical architectures and designs
                    • +
                    • Comfortable communicating with various stakeholders (technical and non-technical)
                    • +
                    +

                    +

                    Nice to have Skills (though not required):

                    +
                      +
                    • Exposure to data-science or machine-learning packages (Pandas, Pytorch, Keras, TensorFlow, etc...)
                    • +
                    • Contributions to open-source software (code, docs, or mailing list posts)
                    • +
                    • GCP Professional Data Engineer Certification
                    • +
                    • Confluent Certified Developer for Kafka
                    • +
                    +

                    +

                    COVID-19 is a serious condition and has had a devastating impact on Canadians and others across the globe. As a leading Health and Wellness provider for millions of Canadians, our goal is to help all Canadians ""Live Life Well"". ​

                    +

                    +

                    In support of this goal, we have adopted a COVID-19 Vaccination Policy to protect the health and well-being of our employees as we continue our phased approach of office reopening. Employees will be required either to be fully vaccinated or undergo regular COVID-19 Rapid Antigen Screening in order to access the workplace.

                    +

                    +

                    +

                    Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

                    +

                    +

                    +

                    Number of Openings:

                    0

                    +

                    +

                    PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

                    +

                    +

                    In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                    +

                    +

                    +

                    Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                    +
                    ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Data-Engineer_R2000234469?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-05-27T17:51:50.490Z,False,0,6,37,https://talenthub.vectorinstitute.ai/jobs/219389356-data-engineer-at-loblaw-companies-ltd,,expired,2023-04-27T17:14:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Associate,Bachelors Degree,New Posting, +e6ceb188-3673-4400-a109-5ab696c68bd4,236452260,TD Bank Group,Data Scientist II,on_site,"Toronto, ON",2023-06-15T15:53:02.219Z,"
                    +

                    Company Overview

                    +
                    +

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    +

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    +
                    +

                    +

                    Department Overview

                    +

                    The Analytics and Information Management team supports the entire Canadian Auto Finance organization with reporting, data consulting, strategy and ad-hoc analyses from product development, sales and loan acquisition to operations and servicing customers.
                    This position offers an excellent opportunity to learn about and be at the forefront of a highly dynamic and growing business while supporting a multitude of critical initiatives across TDAF Canada.

                    +

                    +

                    Job Description

                    +
                    +

                    About this Role

                    +

                    Reporting to the Senior Manager – Analytics & Information Management – the Data Scientist will engage with all levels of the TD Auto Finance team and utilize their skills to provide value added information to business stakeholders.

                    +
                      +
                    • Utilize business and TD enterprise data along with machine learning methods to build models that predict certain customer behaviors (for example: defaults, loan prepayments, new car purchases, mobile app behavior etc.).
                    • +
                    • Work with business partners on initiatives and projects. Provide consultation and recommendations by highlighting impacts from a quantitative point of view.
                    • +
                    • Pro-actively identify opportunities for the business to maximize shareholder value through provisioning of analytics discovery and business insights.
                    • +
                    • Support a positive work environment that promotes service to the business, quality, innovation, and teamwork; ensure timely communication of issues/ points of interest.
                    • +
                    • Prepare Management summaries highlighting the outcome of the validation process for each model and ensuring the appropriate use of risk models. Identify the need to implement new models/techniques to manage risk as industry standards evolve.
                    • +
                    • Work with team members to enhance current profitability and pricing models.
                    • +
                    • Provide ad hoc support to Senior Manager in strategic and tactical initiatives as required.
                    • +
                    • Establish and maintain productive working relations with all stakeholders.
                    • +
                    +
                    +

                    +

                    Requirements

                    +
                    +What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    +
                      +
                    • The ideal candidate would have extensive work experience building predictive models with machine learning methods in Python or R.
                    • +
                    • Experience combining data from different databases. Experience discovering and understanding new data elements by utilizing metadata and testing.
                    • +
                    • Strong relationship building skills, ability to collaborate effectively with teams across TDAF and the Bank.
                    • +
                    • Experience in data mining, financial models and data visualization tools (SQL, Tableau, and Excel).
                    • +
                    • Experience building presentations and presenting the findings to upper management.
                    • +
                    • Minimum 5 years in an analytical or consulting role.
                    • +
                    • Demonstrated experience of developing and implementing statistical models (predictive & descriptive)
                    • +
                    • Demonstrated experience in delivering high quality, high impact analytical solutions to business problems
                    • +
                    • Banking or Auto Finance experience is strongly preferred.
                    • +
                    • University Degree combined with data science education preferred.
                    • +
                    +
                    +

                    +

                    Additional Information

                    +
                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    +

                    #LI-Hybrid #datascientist

                    +

                    +

                    Hours

                    +
                    37.5
                    +

                    +

                    Inclusiveness

                    +

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    +

                    +
                    ",,https://jobs.td.com/en-CA/jobs/17931454/data-scientist-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-06-29T19:29:00.000Z,False,0,11,68,https://talenthub.vectorinstitute.ai/jobs/236452260-data-scientist-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17931454/data-scientist-ii-toronto-ca/,expired,2023-06-15T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, f595301b-c2c2-4b63-a836-f260df43f54f,151296949,Canvass Analytics Inc.,Machine Learning Engineer,on_site,"Ontario, Canada",2022-09-16T07:35:03.010Z,"
                    A Leader in Automating Intelligent Industrial Operations

                    At Canvass Analytics, we are disrupting the way industrial operational data is being used to make critical business decisions. Our disruptive, leading edge AI-powered analytics platform transforms plant operations, giving them predictive insights that enable autonomous operations.

                    @@ -280302,6 +289510,216 @@ a046e250-2d38-418a-9bda-93a07211d382,178437764,Borealis AI,Research Director,on_

                    RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                    ",,https://www.borealisai.com/careers/?gh_jid=6466710002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-01-18T14:40:30.659Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/178437764-research-director-at-borealis-ai,,expired,2022-12-17T17:27:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,PhD,New Posting, +04630525-815e-49c9-8f86-e31bd821d9f2,178438249,TELUS,Lead Data Engineer,on_site,"Ontario, Canada",2022-12-17T17:42:02.704Z,"
                    +
                    +

                    Description

                    +
                    +


                    +

                    Join our team and what we\'ll accomplish together

                    +


                    We are looking for an enthusiastic Lead Data Engineer who can help us bring focus, flow, and joy to all developers at TELUS as part of our Platform Engineering team.

                    We believe that a strong data science competency is required at TELUS for our business to be successful, and that happy humans build fantastic software. And so our calling is to improve developer focus, flow, and joy at TELUS. This means implementing changes to our systems and processes to make developer platform insights into reality.

                    +

                    What you will do

                    +
                      +
                    • Lead a team of data engineers, data analysts and developers on our journey to strengthen the developer experience through all data ingested, secured, managed, processed and analyzed on our metrics platform
                    • +
                    • +Lead initiatives that will improve focus, flow, and joy for software developers across the organization
                    • +
                    • Work with equally smart, grounded and collaborative individuals, as well as down-to-earth leaders who get stuff done and deliver measurable results
                    • +
                    • Lead challenging and interesting problems, and strive to do the right thing, the right way and continuously improve via KPIs
                    • +
                    • Innovate every day and have the freedom to contribute your ideas
                    • +
                    • Drive the development of data analytics strategy by developing and enhancing data democratization principles
                    • +
                    • Present our users with relevant, actionable and timely data to improve on software development KPIs such as stability, velocity and availability
                    • +
                    +

                    +

                    The platform engineering team is delivering data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data,

                    +

                    +

                    We are entrepreneurial and passionate, we believe that anything is possible and can be achieved by innovative and meaningful outcomes for our customers, team members and that through meaningful and impactful endeavors we can integrate dynamic change in our professional lives.

                    +

                    +

                    We intend to shape the future of how machine learning, data processing and analysis can drive TELUS through insights that solve releasing software to production on-demand.

                    +

                    +

                    Help architect the future of our enterprise data solutions and leverage the best of Google Cloud’s data management, analysis and machine learning capabilities and drive forward our data strategy.

                    +

                    +
                    +
                    +
                    +

                    Here’s how

                    +
                    +

                    +
                      +
                    • Overseeing the team that builds and iterates data pipelines to process data either where it lives, or across boundaries into a single system.
                    • +
                    • Analyze datasets, build data relationships and models to generate reports, meaningful insights and machine learning automation to support the business
                    • +
                    • Build a cohesive data platform that extends between the cloud and our data centers which can ingest, transform and process data.
                    • +
                    • Support operational efficiencies across our people, software engineering processes, management and our technical programs by leveraging data retrieved from our systems and tools.
                    • +
                    • Lead the team supporting the data pipelines feeding into our machine learning algorithms and models. Explore the latest tools and API’s that can help optimize our Machine Learning operations.
                    • +
                    • Lead the team to assist the extracting, loading, transforming, cleaning, and validating of data from both inside and outside of Telus.
                    • +
                    +
                    +
                    +
                    +

                    Qualifications

                    +
                    +


                    +

                    What you bring

                    +

                    +
                      +
                    • +You are recognized for your 5+ years of experience of IT platform implementation in a technical capacity
                    • +
                    • You are sought out for your 5+ years experience of Data Lake and platforms implementation with experience implementing and performance tuning
                    • +
                    • Realize the vision of Data Democratization for software delivery metrics. Educate our customers on how to work with data to improve and reap the rewards
                    • +
                    • AI/ML tools expertise
                    • +
                    • GCP Professional Data Engineering certification
                    • +
                    • Google Cloud Dataflow and Google BigQuery experience
                    • +
                    • Orchestration and job scheduling platforms experience
                    • +
                    • Experience working with Google Cloud data products (CloudSQL, Spanner, Cloud Storage, Pub/Sub, Dataflow, Dataproc, Bigtable, BigQuery, DataLooker, Dataprep, Composer, etc)
                    • +
                    • You are respected for your experience in designing and deploying distributed, multi-technology, data processing systems
                    • +
                    • You bring systems design experience with the ability to architect and explain complex systems interactions, data flows, common interfaces and APIs
                    • +
                    • You bring a deep understanding of and experience with software development and programming languages and Python, Perl and Shell scripting
                    • +
                    • Communication skills to ensure effective management of relationships, prepare presentations for leadership consumption.
                    • +
                    +
                    +
                    +
                    ",,https://careers.telus.com/job/Burnaby-L5-Software-Development-Brit/565119317/,feed-importer@jobboard.io,,,,2023-01-18T14:45:48.410Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/178438249-lead-data-engineer-at-telus,,expired,2022-12-17T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, +fa9dd810-84b0-4ba9-8182-12e98aa98ccc,183865771,TD Bank Group,Wealth Senior Product Investment Analyst,on_site,"Toronto, ON",2023-01-05T17:24:03.421Z,"
                    +

                    Company Overview

                    +
                    +

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    +

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    +
                    +

                    +

                    Department Overview

                    +

                    Reporting to the Manager, Wealth Product Shelf Analysis & Insights, the incoming Senior Analyst will be responsible for delivering timely and actionable insights on investment product and portfolio management trends. The incumbent will be part of a dedicated team that is committed to developing robust book insights and investment securities monitoring capabilities.

                    +

                    +

                    Job Description

                    +
                      +
                    • +Investment and Product Analysis:
                        +
                      • Develop product /investment analysis and insights to support product due diligence, shelf strategy and investment risk management efforts
                      • +
                      • Develop and automate reports at the firm, advisor and client levels to highlight portfolio trends, risk concentrations and product dynamics.
                      • +
                      • Proactively research market, industry and investment trends, and regulatory changes to support various product management initiatives and identify sources of potential investment risk
                      • +
                      • Actively participate in various workstreams with internal partners to understand business objectives, required KPIs and translate them into data collection and data analysis strategies
                      • +
                      +
                    • +
                    • +Data Science/ Analytics:
                        +
                      • Provide subject matter expertise and create data driven solutions by applying a variety of tools and techniques to build out analytical solutions
                      • +
                      • Develop a thorough understanding of the databases and systems landscape at TD wealth and support the optimization of data extraction/validation processes
                      • +
                      • Use advanced analytic tools to develop repeatable and reliable workflows for extracting, compiling and summarizing wealth product/investment data to drive operational efficiency and increase productivity
                      • +
                      • Participate in projects by analyzing approaches, processes and tools to support the Wealth Shelf Management & Investment Research Teams’ data requirements
                      • +
                      +
                    • +
                    • +Visualization:
                        +
                      • Provide data visualization support by employing various techniques to support the business in interpreting data and communicating implications and /or recommendations to the business
                      • +
                      • Provide data visualization expertise and interpretation of data into meaningful insights or visuals to help facilitate business understanding of outcomes and recommendations
                      • +
                      • Support the production and enhancement of dashboards, regular and ad-hoc reports, analysis, and insights to assist data-driven decision making
                      • +
                      +
                    • +
                    • +Other:
                        +
                      • Demonstrate strong initiative, and use strong communication, analytical and problem-solving skills to add value to each initiative, project, or team you are assigned to
                      • +
                      • Participate as part of a team with targeted deliverables, working on initiatives designed to improve decisions, processes and applications which support our key businesses
                      • +
                      +
                    • +
                    +

                    +

                    Requirements

                    +
                    +
                    +
                      +
                    • Postsecondary degree majoring in Finance, Economics, Computer Science, Mathematics, Engineering, Statistics, Data, or related field an asset
                    • +
                    • Experience with Alteryx and/or SQL programming
                    • +
                    • Strong statistical/analytics skills & interest/knowledge of investment management
                    • +
                    • Excellent verbal & written communication, with ability to work collaboratively and effectively in a team environment
                    • +
                    • Enrolment in the CFA program is a plus
                    • +
                    • Experience with VBA, Python, or other programming languages is a plus
                    • +
                    +

                    #LI-POST

                    +
                    +

                    +

                    Additional Information

                    +
                    #LI
                    +

                    +

                    Hours

                    +
                    37.5
                    +

                    +

                    Inclusiveness

                    +

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    +

                    +
                    ",,https://jobs.td.com/en-CA/jobs/17549846/wealth-senior-product-investment-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-18T17:29:06.466Z,False,0,2,2,https://talenthub.vectorinstitute.ai/jobs/183865771-wealth-senior-product-investment-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17549846/wealth-senior-product-investment-analyst-toronto-ca/,expired,2023-01-05T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +26f07552-8e91-47cd-a297-2a591247bf40,182196475,TD Bank Group,Data Engineer,on_site,"Toronto, ON",2022-12-31T17:24:05.855Z,"
                    +

                    Company Overview

                    +
                    +

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    +

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    +
                    +

                    +

                    Department Overview

                    +
                    +

                    Our vision to be the Better Bank is grounded in our purpose-driven and forward-focused strategy. Amidst a rapidly changing landscape, we know that technology plays a critical role in achieving this vision and delivering on our strategy. It also signals the need to accelerate investment in emerging capabilities to adapt to the changes happening around us and respond to customer needs more quickly. To accomplish this, we’re evolving our Platforms, introducing key enterprise Practices and re-imagining our customer Journeys as part of the Next Evolution of Work (NEW).

                    +

                    NEW will empower colleagues to make decisions faster, work more efficiently and quickly identify and address customer and market trends to deliver innovative solutions at an unprecedented pace. NEW will enable us to move with purpose towards common goals, simplify how we work and elevate how we deliver customer value. By joining NEW, you’ll have the opportunity to be part of a new way of working while making an impact on the future of banking in ways you’ve never imagined.

                    +

                    Introducing the Data as a Service (DaaS) Platform! This Platform will develop a centralized data strategy and roadmap to enable TD to shift to a data-driven organization and help us extract value from the data we create, collect and consume. The Platform will include applications responsible for the creation and management of data lakes, standards, analytical tools and governance. DaaS will consolidate over ~110 assets and ~200 applications, aggregate our customer data, and bring together data subject matter experts from Practices, such as Data, Software Engineering and Quality Engineering.

                    +
                    +

                    +

                    Job Description

                    +
                    +

                    Are you an experienced data professional, equipped with both conceptual and practical expertise in business information management? If so, this role offers a hands-on and high growth career opportunity to provide business technical leadership across a broad range of information management functions while supporting various areas of data and analytics.

                    +

                    If you enjoy working with colleagues and project teams then this specialist role is for you! You’ll work with business and technology partners to understand business data to ensure the analysis and requirements provided align with the overall design and data management standards.

                    +

                    As a Business Information Management Data Practitioner, you will:

                    +
                      +
                    • Bring conceptual and practical level expertise to provide solutions and knowledge on a diverse range of tasks
                    • +
                    • Leverage your strong programming skills to develop a diverse range of data solutions and analyses, demonstrating your in-depth experience with very large datasets and big data technologies
                    • +
                    • Engage in business and data requirements to develop complete business solutions
                    • +
                    • Design and implement complex business data information management frameworks
                    • +
                    • Engage in testing of the technical information systems to ensure data integrity and system functionality
                    • +
                    • Collaborate with business and technology partners to resolve data issues and ensure requirements delivery and compliance (e.g. with enterprise framework, methodologies, financial controls, and other requirements)
                    • +
                    • Participate fully as a member of a Scaled Agile pod, support a positive work environment where everyone thinks like a customer, promotes quality and drives innovation
                    • +
                    +
                    +

                    +

                    Requirements

                    +
                    +

                    Potential Candidates interested in this role should have:

                    +
                      +
                    • Undergraduate degree or technical certificate in a relevant field
                    • +
                    • Experience from a statistical, mathematical, computer science, financial background or equivalent
                    • +
                    • Experience in data programming languages, patterns and design principles
                    • +
                    • Expertise in using analytical software tools, data analysis methods and reporting techniques
                    • +
                    • Expertise in data storage and movement, including relational and big data
                    • +
                    • Strong analytical and problem-solving skills
                    • +
                    • In-depth knowledge of competitor and market trends
                    • +
                    • Ability to analyze, organize and prioritize work while meeting multiple deadlines
                    • +
                    • Ability to work cooperatively and independently as part of a Scaled Agile pod
                    • +
                    • Effective communication skills (oral and written) with the ability to build positive relationships across teams
                    • +
                    • Act as a brand champion for our business area / function and TD, both internally and externally
                    • +
                    +
                    +

                    +

                    Additional Information

                    +
                    +Data engineering:

                    +
                      +
                    • Degree in Computer Science
                    • +
                    • Preferred course work – Java, .net, RDBMS (Relational data base management system), Agile concepts, Cloud concepts
                    • +
                    +

                    #dataengineer #LI-Hybrid

                    +

                    Locations:

                    +
                      +
                    • Toronto
                    • +
                    • Montreal
                    • +
                    • Markham
                    • +
                    • London
                    • +
                    • Ottawa
                    • +
                    • New Jersey, USA
                    • +
                    • Delaware, USA
                    • +
                    +
                    * L7- L10
                    +
                    +

                    +

                    Hours

                    +
                    37.5
                    +

                    +

                    Inclusiveness

                    +

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    +

                    +
                    ",,https://jobs.td.com/en-CA/jobs/13893391/data-engineer-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-19T21:11:00.000Z,False,0,2,13,https://talenthub.vectorinstitute.ai/jobs/182196475-data-engineer-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13893391/data-engineer-toronto-ca/,expired,2022-12-31T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, 0fba0293-81c0-4166-9460-303d3c72bd86,187138122,TELUS,Data Scientist/Analyst - C360 Insights Team,on_site,"Ontario, Canada",2023-01-15T17:42:05.653Z,"

                    Description

                    @@ -280547,858 +289965,6 @@ a046e250-2d38-418a-9bda-93a07211d382,178437764,Borealis AI,Research Director,on_

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Data-and-Reporting-Analyst--1-year-contract--New-Grad-Immediate-start_R230003637?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-03-13T17:17:03.072Z,False,0,8,29,https://talenthub.vectorinstitute.ai/jobs/202113589-data-and-reporting-analyst-1-year-contract-new-grad-immediate-start-at-bmo-financial-group,,expired,2023-03-06T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, -b898fc26-f273-42ed-b585-70a788c4d903,198987049,Scotiabank,"Director, Data and Analytics, Risk and Business Controls",on_site,Canada : Ontario : Toronto,2023-02-23T17:22:04.574Z,"

                    -

                    -

                    -

                    -

                    Requisition ID: 158322

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    -

                    The Director is responsible for leading the Data and Analytics team, a unit within Risk and Business Controls, Global Wealth Management Operations. The incumbent is responsible for designing, leading, and executing the implementation of the Bank’s Data Risk Policy and Data Standards across Global Wealth Management; and being responsible for weekly/monthly/quarterly reporting and responding to ad-hoc data analysis data requests in support of key programs under the Risk & Business Controls team.

                    -

                    -

                    Accountabilities

                    -

                    Data Management and Operations

                    -
                      • -Leads and provides direction to drive the implementation of the Bank’s Data Risk Policy and Data Standards across GWM in close partnership with the Enterprise Data Office.
                        • Responsible to develop, manage, and execute the data management implementation roadmap for GWM Canada in partnership with the Enterprise Data Office, IT, Business, and Internal Controls.
                        • Deploy the suite of data management tools (e.g., Universal Catalog, Governance Console) and to maintain key aspects of the data governance program including Critical Data Element population, Data Quality management, Lineage - in line with best practice and regulatory expectations.
                      • Partners with Business and IT to design the data strategy and architecture supporting GWM to enable efficient and effective data flows for critical business process.
                      • Builds and leads a team to support the execution of day-to-day operational data needs and quarterbacks the resolution of data issues.
                      • Responsible for data related tasks including identifying and maintaining the inventory of critical data processes, evaluates data management practices and controls, makes recommendations to strengthen or establish controls, and drives resolution of identified gaps.
                      • Acts as the Data Steward for assigned domains and provides guidance and assistance to other GWM Data Steward(s) to execute their roles.
                      • Leads the communications and reporting related to GWM’s data governance program.
                    • -
                    -

                    -

                    Analytics and Reporting

                    -
                      • Proactively partners with teams to identify data-related needs and recommend areas for process and quality improvement to improve operations, streamline existing reporting, and help teams transition to modern reporting tools (e.g., PowerBI).
                      • Provides expertise on analytical techniques to uncover patterns, trends, and relationships to allow insights to better monitor and manage risk.
                      • Maintains expert knowledge of key/primary data sources for the business unit’s data to enable the design, execution, and maintenance of KPI/KRI dashboards to support decision making and monitoring of key customer, operational, financial, and compliance metrics.
                      • Ensures reporting / dashboards have strong internal controls and QA to ensure accuracy, completeness, and meet stakeholder objectives.
                      • Prepare and present analytics and reporting outputs and recommendations to business unit leaders and senior management.
                    • -
                    -

                    -
                    • Drives day to day activities and decisions are consistent with the Bank’s risk appetite and risk culture.
                    • Builds a high-performance culture and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment, communicating vison/values/business strategy and managing succession and development planning for the team
                    • Creates an environment in which his/her team pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
                    • -
                    -

                    -

                    Education and Experience

                    -
                    • Minimum 8-10 years related work experience demonstrating progressive responsibilities in the areas of analytics, business intelligence/reporting, and data management.
                    • Strong data mining, analytics, and business intelligence skills and experience with SQL, Python, R Spark; and database systems (Hive/Hadoop, SQL server)
                    • Highly proactive and self-motivated with the ability to meet objectives under minimal supervision.
                    • Strong communication skills and ability to influence stakeholders is a critical component of this role.
                    • Knowledge of the wealth management, asset management, and securities industry (e.g., products, operational processes, applications/systems, and data flows) would be an asset.
                    • -
                    -

                    -

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Director%2C-Data-and-Analytics%2C-Risk-and-Business-Controls-ON-M5C2V9/561922017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-03-13T17:27:02.802Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/198987049-director-data-and-analytics-risk-and-business-controls-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Director%2C-Data-and-Analytics%2C-Risk-and-Business-Controls-ON-M5C2V9/561922017/,expired,2023-02-23T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, -9748d016-6857-489b-96c8-d2653d27c452,202114435,TD Bank Group,"Senior Analyst, Talent Research & Insights, Candidate Attraction",on_site,"Toronto, ON",2023-03-06T17:24:03.571Z,"
                    -

                    Company Overview

                    -
                    -

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    -

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    -
                    -

                    -

                    Department Overview

                    -

                    At TD, we are known for our legendary customer experience, trusted advice, and culture of care, thanks to our extraordinary talent. Our Talent Acquisition Center of Expertise team plays a meaningful role – we bring market insights, proactive strategies, and cutting-edge solutions to attract, hire and onboard exceptional talent to unlock individual and organizational potential

                    -

                    -

                    Job Description

                    -
                    -

                    The Senior Analyst, Talent Research & Insights is responsible for providing research expertise, analytical interpretation, visualization reports and dashboards, and insights to recommend actions that will enable sound business decision and/or resolve complex business problems. The successful candidate will identify opportunities to drive business growth & value.

                    -

                    Reporting to the Senior Manager, Talent Acquisition COE, the successful candidate will:

                    -
                      -
                    • Apply an understanding of business strategies to produce relevant and meaningful data analysis and materials to support the advancement of business’ talent goals and objectives
                    • -
                    • Analyze and integrate large sets of data across multiple platforms to understand targeted talent, population, competitor and industry trends. (I.e. HR data, Talent Insight platforms, gov’t organizations, social media databases, consulting papers, etc)
                    • -
                    • Produce insights, visuals and dashboards to illustrate trends and identify areas of business opportunity and/or recommended business actions
                    • -
                    • Leverage highly technical tools/techniques/methods with an ability to translate for easy interpretation by the target audience
                    • -
                    • Utilize both quantitative and qualitative methodologies to interpret and present complex information in a clear, concise, and influential manner
                    • -
                    • Establish effective relationships across multiple business and technology partners, program, and project managers
                    • -
                    • Be a subject matter expert, developing a deep understanding of the global talent market, conducting research, offering insights and influencing strategies.
                    • -
                    • Pioneer and lead the usage of new tools for talent mapping, candidate nurturing, and building market intelligence.
                    • -
                    -
                    -

                    -

                    Requirements

                    -
                      -
                    • Undergraduate degree with 3+ years of analytics experience.
                    • -
                    • Intermediate to advanced knowledge of PowerQuery, ETL, SQL, Python, and Access, is required. VBA, Git, big data tools, and other programming languages are an asset but not a requirement.
                    • -
                    • Advanced knowledge in research design, Tableau visualizations, and report preparation.
                    • -
                    • Experience working with APIs for data retrieval is required.
                    • -
                    • Experience modelling and forecasting data is required, application of NPL methods is an asset but not a requirement.
                    • -
                    • Proven ability in interpreting data to address business challenges or uncover opportunities to improve HR and business strategies.
                    • -
                    • Advanced knowledge in research, visualization, and report preparation.
                    • -
                    • Demonstrated experience of working in a fast-paced work environment through strong communication, organizational, planning and time management skills.
                    • -
                    -

                    -

                    Additional Information

                    -
                    -#LI-HYBRID
                    #CTOCareers
                    -

                    -

                    Hours

                    -
                    37.5
                    -

                    -

                    Inclusiveness

                    -

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -

                    -
                    ",,https://jobs.td.com/en-CA/jobs/17145083/senior-analyst-talent-research-insights-candidate-attraction-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-13T17:29:04.126Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/202114435-senior-analyst-talent-research-insights-candidate-attraction-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17145083/senior-analyst-talent-research-insights-candidate-attraction-toronto-ca/,expired,2023-03-06T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -7ec13ae0-9acd-4243-aeb3-751aed135d42,200118225,Sun Life Financial,Business Data Engineer,on_site,"Ontario, Canada",2023-02-27T17:41:07.451Z,"
                    -

                    You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                    -

                    -

                    -

                    Job Description:

                    -

                    -

                    At Sun Life, we work together, share common values and encourage growth and achievement. We offer many career paths that attract a wide variety of talent and skills. Follow a path that lets your talents shine.

                    -

                    -

                    Role Summary:

                    -

                    -

                    The Client Experience Office (CXO) is an important pillar of Sun Life’s corporate strategy and as such, is seeking experienced data engineering individuals with a proven track record working with data consumers to extract meaningful insights from enterprise data. Senior Business data engineers play an indispensable role in assembling the necessary data products that fuel myriad of analytical models used by our various business units across Canada.

                    -

                    -

                    Reporting to the Manager of Data Engineering, the Senior Business Data Engineer will be a key member of Data Enablement Team responsible for building enriched data products that provide deep insights about our Client, Advisor, Product, Transactions along with their intricate relationships. The Senior Business Data Engineer will work with data analysts and data scientists to help answer complex business enquires such as identifying new business opportunities, understanding our client behavior and optimizing areas of our sales cycles.

                    -

                    -

                    What will you do?

                    -
                      -
                    • Obsessed with understanding our enterprise data and interpreting it in the best way possible to derive business value

                    • -
                    • Design and engineer data models that represent our key business entities such as our Advisor, Client & Product

                    • -
                    • Ensure high level of data quality and data integrity are maintained across data sources for business

                    • -
                    • Convert complex business and technical rules into logic for data flows and data pipelines

                    • -
                    • Work with our Data Science teams to implement data products for various use cases

                    • -
                    • Collaborate with stakeholders and incorporate into solution design for various use case requirements

                    • -
                    • Standardize metadata into a common glossary along with the necessary documentation for data consumers

                    • -
                    -

                    -

                    What do you need to succeed?

                    -
                      -
                    • 3-5 years hands-on experience working on AWS technologies for data processing and analytics

                    • -
                    • 2+ years experience with AWS Glue for ETL

                    • -
                    • 3 years experience in Pyspark and SQL

                    • -
                    • 5 years hands-on experience with relational database systems, relational models, dimensional models etc.

                    • -
                    • 3-5 years experience with engineering data products as input to various analytical models

                    • -
                    • 3-5 years building feedback loops between model deployment and its data – i.e. tune & tweak data products to achieve scale, optimization, etc.

                    • -
                    • Sound understanding of data management principles (data warehousing, data quality, master data management, etc.)

                    • -
                    • Sound understanding of data modelling and a passion for analytics

                    • -
                    • Proven track record in leveraging SQL and SQL-based programming to solve business problems

                    • -
                    • Ability to translate complex business requirements into a set of data ingestion pseudocode

                    • -
                    • Proven ability to leverage knowledge of data engineering to extract, conform and integrate a variety of operational data sources into pro‐duction-grade data products

                    • -
                    • Demonstrate blend of tenacity, creativity, and discipline required to develop ground breaking self-serve data models that data scientists can consume

                    • -
                    • Excellent verbal and written communication skills; have executive presence and proven ability to partner with Data Scientists to articulate insights gleaned from the model and the underlying data

                    • -
                    -

                    -

                    Education and Qualifications:

                    -
                      -
                    • Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent

                    • -
                    • Graduate degree in business or quantitative science strongly preferred

                    • -
                    -

                    -

                    Unique Requirements

                    -
                      -
                    • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

                    • -
                    • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                    • -
                    -

                    -

                    What would be nice to have?

                    -
                      -
                    • Understand and Embrace Agile Operating Model

                    • -
                    • Proven Experienced working as Product Owner in Scrum or Service Request Manager in Kanban projects

                    • -
                    • Experience working in a large financial services organization

                    • -
                    • Knowledge of fundamental statistical models & techniques

                    • -
                    -

                    -

                    What\'s In It For You?

                    -
                      -
                    • Great Place to Work® Certified in Canada and the US - 2022

                    • -
                    • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                    • -
                    • Named “Best Places to Work” by Glassdoor - 2021

                    • -
                    • Canada Award for Excellence for Mental Health at Work - 2021

                    • -
                    • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid, #LI-Remote

                    • -
                    • Competitive salary and bonus structure influenced by market range data

                    • -
                    • Pension, stock and savings programs to help build and enhance your future financial security

                    • -
                    • A friendly, collaborative, and inclusive culture

                    • -
                    • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

                    • -
                    • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                    • -
                    -

                    -

                    -

                    The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                    -

                    -

                    Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                    -

                    -

                    Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                    -

                    -

                    At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                    -

                    -

                    We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                    -

                    -

                    Salary Range:

                    74,100/74 100 - 120,800/120 800

                    -

                    Job Category:

                    Advanced Analytics

                    -

                    Posting End Date:

                    12/03/2023
                    ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Business-Data-Engineer_JR00076392-2?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-03-13T17:46:03.517Z,False,0,6,22,https://talenthub.vectorinstitute.ai/jobs/200118225-business-data-engineer-at-sun-life-financial,,expired,2023-02-27T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -b0ee772b-27ce-417e-8f8f-1dcca2520fa2,203170512,RBC,"Director, Pricing and Analytics, RBC Direct Investing",on_site,"Toronto, ON, Canada",2023-03-09T17:16:01.679Z,"
                    -

                    Come Work with Us!

                    At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                    Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                    -

                    Job Title

                    Director, Pricing and Analytics, RBC Direct Investing

                    -

                    -

                    Job Description

                    -

                    What is the opportunity?

                    -

                    RBC Direct Investing is RBC’s discount brokerage offering industry-leading tools and research to help clients pick the right investments, place trades quickly and track how they are doing. As Director of Pricing and Analytics, you will lead the team responsible for designing pricing strategies and delivering deep insight to identify opportunities, deepen our understanding of client segments and develop our business strategy. You will lead a team of two and be responsible for their professional development, as well as their efforts to help us delve deeper into our portfolio and manage pricing strategies that help us to balance profitably with client acquisition.

                    -

                    -

                    What will you do?

                    -
                      -
                    • Develop and manage pricing strategies for RBC Direct Investing
                    • -
                    • Leverage data analytics to deliver deep insights about the client base
                    • -
                    • Work with stakeholders across the business to deliver business intelligence and pricing guidance
                    • -
                    • Develop and manage key reporting for business management, sales and marketing performance and other management priorities
                    • -
                    • Lead a team of two direct reports and invest in their professional development
                    • -
                    -

                    -

                    What do you need to succeed?

                    -

                    -

                    Must-have:

                    -
                      -
                    • Undergraduate degree in business, finance, or related discipline
                    • -
                    • 5+ years of relevant experience conducting pricing analytics and managing pricing strategy or comparable analytical and strategy functions
                    • -
                    • Strong communication, negotiation and people skills
                    • -
                    • Strong understanding of financial services economics and P&L drivers
                    • -
                    • Demonstrated critical thinking capabilities
                    • -
                    -

                    -

                    Nice to have:

                    -
                      -
                    • Experience in the securities industry, particularly at a discount brokerage
                    • -
                    • Proficiency with SQL, SAS or other analytical tools
                    • -
                    -

                    -

                    What’s in it for you?

                    -

                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                    -
                      -
                    • Ability to make a difference and lasting impact
                    • -
                    • Work in a dynamic, collaborative, progressive, and high-performing team
                    • -
                    • Opportunities to do challenging work
                    • -
                    -

                    -

                    -

                    Job Summary

                    -

                    Address:

                    TORONTO, Ontario, Canada

                    City:

                    CAN-ON-TORONTO

                    Country:

                    Canada

                    Work hours/week:

                    37.5

                    Employment Type:

                    Full time

                    Platform:

                    Personal and Commercial Banking

                    Job Type:

                    Regular

                    Pay Type:

                    Salaried

                    Posted Date:

                    2023-03-08-08:00

                    Application Deadline:

                    2023-03-17-07:00
                    -

                    Inclusion and Equal Opportunity Employment

                    -

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    -
                    -

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                    -
                    ",,https://jobs.rbc.com/ca/en/job/R-0000052277/Director-Pricing-and-Analytics-RBC-Direct-Investing,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-03-17T15:45:00.000Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/203170512-director-pricing-and-analytics-rbc-direct-investing-at-rbc,,expired,2023-03-09T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, -9ac65448-c7fa-48a9-aa5b-caaa354db7fb,202114043,Scotiabank,"Senior Associate, Research Analytics & Institutional Client Strategy",on_site,Canada : Ontario : Toronto,2023-03-06T17:22:03.862Z,"

                    -

                    -

                    -

                    -

                    Requisition ID: 174805

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    -

                    About the Team:
                    At Scotiabank, research is a key driver of our Global Equity platform. We specialize in the Canadian market, and we also supply targeted international research covering the United States and Latin America. Our top-ranked teams generate value-added equity ideas and themed publications. As well, we are constantly looking for ways to bring new products to market and provide clients with valuable research ideas and insights. Our products include daily company-specific investment views, monthly and quarterly sector updates, in-depth fundamental research reports, portfolio analysis and recommendations, and equity strategy commentary.

                    -

                    Position Highlights:
                    The Research Client Services Team (RCST) is responsible for supporting the Equity Research department by providing valuable internal analytical insights to management and research analysts for strategic decision-making and ensuring adherence to compliance requirements of the MiFID II regulation. As a member of the RCST, this position will assist in maintaining and developing the internal analytics capabilities of the team. This position will also assist with the administration of client research agreements and work closely with research analysts, senior management, and compliance teams as part of the overall MiFID II compliance framework.

                    -

                    Is this role right for you?

                    -
                    • Produce periodical analytical summary reports for the Research Management team
                    • Create analysis and reporting tools on an ad hoc basis to support internal data and analytical requests
                    • Create and maintain dashboards and reports that can be leveraged by users to find insights
                    • Analyze client accounts to identify outreach opportunities and gauge account profitability
                    • Work with Research Analysts to improve the format and delivery of their product
                    • Understand business processes to analyze, interpret, and advise staff on analytical findings
                    • Collaborate with stakeholders to ensure effective use of reporting and analysis, and provide support, if needed
                    • Understand and incorporate technology best practices with a primary focus on .NET and SQL
                    • Liaise with other internal analytics teams to ensure data accuracy and consistency across the firm
                    • Diligently perform quality assurance and assess operational and reputation risk
                    • Monitor and analyze buyside client consumption of the research product
                    • Respond to internal and external inquiries on the research product and agreements
                    • Issue invoices for research clients and track payments with internal Finance teams
                    • -
                    -

                    Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

                    -
                    • Technical mindset with an undergraduate degree in Computer Science or Engineering is required
                    • Excellent command of Microsoft Office, with an emphasis on Excel is required
                    • Proven experience in SQL and .NET is required
                    • Working knowledge of Angular and Python would be an asset
                    • Strong problem-solving and analytical skills
                    • Excellent written and verbal communication skills
                    • Attention to detail and time management skills
                    • Ability to produce meaningful results from data
                    • Proven experience consolidating and analyzing different data sources
                    • Ability to work collaboratively within a cross functional team environment
                    • Ability to succeed in a dynamic and fast-paced environment
                    • -
                    -

                    -

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Senior-Associate%2C-Research-Analytics-&-Institutional-Client-Strategy-ON-M5H-0B4/568224817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-03-17T15:45:00.000Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/202114043-senior-associate-research-analytics-institutional-client-strategy-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Associate%2C-Research-Analytics-&-Institutional-Client-Strategy-ON-M5H-0B4/568224817/,expired,2023-03-06T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -8046e82a-4091-4322-86ae-e0e618f16ff0,214825113,Google,"Software Developer III, Machine Learning, Google Cloud Platform AI and Industry Solutions",on_site,"Toronto, ON, Canada",2023-04-13T17:20:02.649Z,"
                    -
                    -2023-04-11T17:30:51.797Z
                    -
                      -
                    • Share
                    • -
                      Save -
                    • -

                    Software Developer III, Machine Learning, Google Cloud Platform AI and Industry Solutions

                      -
                    • Google
                    • -
                    • In-office:
                      - Waterloo, ON, Canada -
                    • -
                    -
                    -

                    Qualifications

                    -

                    Minimum qualifications:

                    -
                      -
                    • Bachelor’s degree or equivalent practical experience.
                    • -
                    • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
                    • -
                    • 2 years of experience with data structures or algorithms in either an academic or industry setting.
                    • -
                    -

                    Preferred qualifications:

                    -
                      -
                    • Master\'s degree or PhD in Computer Science or related technical field.
                    • -
                    • 2 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning and/or natural language processing.
                    • -
                    • Experience developing accessible technologies.
                    • -
                    -
                    -
                    -
                    -

                    About the job

                    -

                    Google\'s software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We\'re looking for software developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

                    -

                    With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

                    -

                    Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

                    -
                    -
                    -
                    -

                    Responsibilities

                      -
                    • Write product or system development code.
                    • -
                    • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
                    • -
                    • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
                    • -
                    • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
                    • -
                    • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
                    • -
                    -
                    -

                    Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                    Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and Know your rights: workplace discrimination is illegal. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                    To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                    At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                    We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                    Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                    -
                    -
                    -
                    ",,"https://careers.google.com/jobs/results/115611134481834694-software-developer-iii-machine-learning-google-cloud-platform-ai-and-industry-solutions/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-05-01T17:25:02.314Z,False,0,10,42,https://talenthub.vectorinstitute.ai/jobs/214825113-software-developer-iii-machine-learning-google-cloud-platform-ai-and-industry-solutions-at-google,,expired,2023-04-13T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,New Posting, -8b90a86d-a8f7-4d78-8399-f156c90eb3fd,217990053,Loblaw Companies Ltd,Senior Data Engineer,on_site,"Ontario, Canada",2023-04-23T17:14:05.790Z,"
                    -

                    Referred applicants should not apply directly to this role.

                    -

                    All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                    -

                    -

                    -

                    Location:

                    500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

                    -

                    When you hire great people, great things can happen.

                    -

                    PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

                    -

                    -

                    Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

                    -

                    -

                    Why This Role is Important:

                    -

                    Our mission is to build the PC Bank Payment & Rewards Data Platform, which would serve as an integrated data platform to perform complex big-data processing, advanced analytics, and machine learning. The Senior Data Engineering position is a fantastic opportunity for an experienced Data Engineer to join our expanding PC Bank Payment & Rewards Engineering team.

                    -

                    The Data Engineering team is looking for passionate people working in a fast-paced organization using Agile/Scrum methodology to deliver excellent solutions for our demanding customer service, operations requirements, and resolving the engineering challenges of building robust and scalable data systems aligned to enterprise data strategy.

                    -

                    You will participate in defining technical solutions, code architectures, and will be responsible for developing and delivering production-ready code. The ideal candidate will be someone who genuinely enjoys problem-solving and writing high-quality code to build robust, highly distributed, and scalable data processing systems and pipelines. Some of the challenges the candidate would tackle are:

                    -
                      -
                    • Design, implement and operate PC Bank’s core datasets that have extreme requirements on scalability, reliability, maintainability, flexibility, auditability, and quality

                    • -
                    • Design large scale streaming and batch data pipelines (billions of data points) that involve analyzing transactions over a long period without reprocessing vast amounts of data

                    • -
                    • Perform data profiling and source to target mapping analysis for the best design

                    • -
                    • Collaborate with business solution analysts, other engineers, solution architects, and other team members to innovate and evolve our datasets to data products to create a single coherent platform with sources of truth that serve a plethora of stakeholders within PC Bank

                    • -
                    -

                    -

                    -

                    -

                    What you’ll do

                    -
                      -
                    • Apply your expertise in data and software engineering to design and implement data products that meet extreme requirements on scalability, reliability, maintainability, flexibility, auditability, and quality

                    • -
                    • Be T-Shaped. Your primary area is data engineering, but you are comfortable working in a secondary area of expertise such as data presentation/visualization, backend engineering, or data modelling (SQL, NoSQL, Graph & Time-series)

                    • -
                    • Work closely with cross-functional teams of data, backend and frontend engineers, product owners, technical product owners, and technical support personnel

                    • -
                    • Gaining technical expertise in building a data platform at scale to solve business, product, and technical use cases

                    • -
                    • Getting hands-on experience with technologies such as Elasticsearch, Apache Airflow, Apache Kafka, Apache Beam, Apache Spark, Hive, HDFS, Kubernetes (Openshift)

                    • -
                    • Getting hands-on experience with Google Cloud Platform and technologies such as BigQuery, Cloud Composer, Pub/Sub, Dataflow, Dataproc, GCS, Looker, and other cloud-native offerings in GCP

                    • -
                    -

                    -

                    -

                    -

                    Who you are

                    -
                      -
                    • An undergraduate or Master’s degree in Computer Science or equivalent engineering experience

                    • -
                    • 6+ years of professional software engineering and programming experience (Java, Python) with a focus on designing and developing complex data-intensive applications

                    • -
                    • 3+ years of architecture and design (patterns, reliability, scalability, quality) of complex systems

                    • -
                    • Advanced coding skills and practices (concurrency, distributed systems, functional principles, performance optimization)

                    • -
                    • Professional experience working in an agile environment

                    • -
                    • Strong analytical and problem-solving ability

                    • -
                    • Strong written and verbal communication skills

                    • -
                    • Experience in operating and maintaining production-grade software

                    • -
                    • Comfortable with tackling very loosely defined problems and thrive when working on a team which has autonomy in their day to day decisions

                    • -
                    -

                    -

                    -

                    -

                    Preferred Skills

                    -
                      -
                    • In-depth knowledge of software and data engineering best practices

                    • -
                    • Experience in mentoring and leading junior engineers

                    • -
                    • Experience in serving as the technical lead for complex software development projects

                    • -
                    • Experience with large-scale distributed data technologies and tools

                    • -
                    • Strong experience with multiple database models ( relational, document, in-memory, search, etc )

                    • -
                    • Strong experience with Data Streaming Architecture ( Kafka, Spark, Airflow, SQL, NoSQL, CDC, etc )

                    • -
                    • Strong knowledge of cloud data platforms and technologies such as GCS, BigQuery, Cloud Composer, Pub/Sub, Dataflow, Dataproc, Looker, and other cloud-native offerings

                    • -
                    • Strong Knowledge of Infrastructure as Code (IaC) and associated tools (Terraform, ansible etc)

                    • -
                    • Experience pulling data from a variety of data source types including Mainframe (EBCDIC), Fixed Length and delimited files, databases (SQL, NoSQL, Time-series)

                    • -
                    • Strong coding skills for analytics and data engineering (Java, Python, and Scala)

                    • -
                    • Experience performing analysis with large datasets in a cloud-based environment, preferably with an understanding of Google’s Cloud Platform (GCP)

                    • -
                    • Understands how to translate business requirements to technical architectures and designs

                    • -
                    • Comfortable communicating with various stakeholders (technical and non-technical)

                    • -
                    -

                    -

                    -

                    -

                    Nice to have Skills (though not required)

                    -
                      -
                    • Exposure to data-science or machine-learning packages (Pandas, Pytorch, Keras, TensorFlow, etc...)

                    • -
                    • Contributions to open-source software (code, docs, or mailing list posts)

                    • -
                    • GCP Professional Data Engineer Certification

                    • -
                    -

                    -

                    Number of positions available: 7

                    -

                    -

                    Please Note: This an opportunity for Third Party Contractors.

                    -

                    -

                    Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

                    -

                    -

                    -

                    Number of Openings:

                    0

                    -

                    PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

                    -

                    -

                    In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                    -

                    -

                    -

                    Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                    -
                    ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Senior-Data-Engineer_R2000311793?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-05-01T17:19:02.304Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/217990053-senior-data-engineer-at-loblaw-companies-ltd,,expired,2023-04-23T17:14:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Senior Level,Bachelors Degree,New Posting, -814b4e73-8ca5-46bd-a4fa-89e87dce3e59,219387742,BMO Financial Group,"Manager, Risk analytics and reporting",on_site,"Ontario, Canada",2023-04-27T17:12:02.418Z,"
                    -

                    Address:

                    55 Bloor Street West

                    -

                    -

                    Job Family Group:

                    Data Analytics & Reporting

                    -

                    -

                    -

                    -

                    -Key Accountabilities

                    -

                    Supports the execution of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies. Supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance and minimizes risk.

                    -

                    -
                      -
                    • Designs, develops, and implements reporting solutions by using SAS, SQL and Power BI to meet management and regulatory reporting requirements.

                    • -
                    • Participates in the design, implementation, and management of core business processes to ensure the accuracy of risk data used in reporting. Provides advice to assigned business/group on implementation of analytical and reporting solutions.

                    • -
                    • Executes work to deliver timely, accurate, and efficient service for scheduled reporting production processes.

                    • -
                    • Research existing or emerging requirements & related best practices to assist and develops recommendations for changes/enhancements.

                    • -
                    • Analyzes data and highlights significant information including variances, trends, opportunities and exposures; escalates as required.

                    • -
                    • Support audit, conduct process and program documentation and review.

                    • -
                    • Support the maintenance of the risk reporting framework.

                    • -
                    -

                    -
                    • Ensures strong governance and effective controls across risk reporting activities and information in accordance with enterprise standards. Support report accuracy and completeness assessment.

                    -

                    -
                    • Coordinates the management of databases; ensures alignment and integration of data in adherence with data governance standards.

                    -

                    -
                    • Represents the risk reporting function during internal/external regulatory audits and/or examinations. Provides information and supports the process for internal and external audits.

                    -

                    -
                    • Supports the interpretation of internal and external policies and regulatory requirements relevant to the analytics and reporting mandate e.g. regulatory reporting.

                    -

                    -
                    • Supports the maintenance of operational procedures and processes related to analytical and reporting processes.

                    -

                    -
                    • Supports the development of tools and delivery of training focused on awareness and understanding of key data elements used in risk reporting.

                    -

                    -
                    • Builds effective relationships with internal/external stakeholders.

                    -

                    -
                    • Works independently and regularly handles non-routine situations.

                    -


                    -

                    Knowledge and Skills

                    -

                    -
                    • 5-7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

                    -

                    -
                    • Advanced experience in querying language (SAS, SAS viya, SQL, etc.).

                    -

                    -
                    • Advanced experience with reporting tools (Power BI, Excel Pivot, Spotfire, etc.)

                    -

                    -
                    • Knowledge in credit risk management.

                    -

                    -
                    • Strong in documentation, presentation and communication.

                    -

                    -
                    • In-depth knowledge of reporting & analytics concepts and applications.

                    -

                    -
                      -
                    • Deep knowledge and technical proficiency gained through extensive education and business experience.

                    • -
                    • Collaboration & team skills - In-depth.

                    • -
                    -

                    -
                    • Analytical and problem-solving skills - In-depth.

                    -

                    -
                    • Influence skills - In-depth.

                    -

                    -
                    • Data driven decision making - In-depth.

                    -

                    -

                    -

                    We’re here to help

                    -

                    -

                    At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                    -

                    -

                    As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                    -

                    -

                    To find out more visit us at https://jobs.bmo.com/ca/en.

                    -

                    -

                    BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                    -

                    -

                    Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                    -
                    ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Risk-analytics-and-reporting_R230000927?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-05-01T22:00:00.000Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/219387742-manager-risk-analytics-and-reporting-at-bmo-financial-group,,expired,2023-04-27T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -bea0f9d4-5131-4ba8-a4f1-6f9284998f60,217073700,TD Bank Group,"Sr Manager, Analytics & Insights, Geospatial Information System",on_site,"Toronto, ON",2023-04-20T17:24:02.865Z,"
                    -

                    Company Overview

                    -
                    -

                    Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                    -

                    Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                    -
                    -

                    -

                    Department Overview

                    -

                    What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.
                    The Geospatial Team provides Geographic Information System (GIS) services to support our business partners in supplying best-in-class data and analytics throughout the bank. Leveraging GIS (ArcGIS) and ETL (Alteryx) software, we introduce new methodologies to advise distribution strategy, network planning, staffing tactics and better understand the markets we operate in and assess potential.

                    -

                    -

                    Job Description

                    -
                    -

                    About this Role

                    -

                    As a high-level partner of TD’s business leadership, you will champion a diverse, inclusive, specialized team dedicated to generates solutions to business partners through geospatial applications. As the foremost authority on the subject, you will direct the design, development and implementation of data analysis systems and deliver them to your business partners.
                    TD will look to your leadership to build and cultivate a request pipeline to ensure all projects are accountable and meeting business needs. Your leadership inspires leadership in others. Moreover, it inspires everyone around you to own their space, execute with speed and push TD headlong into the future.

                    -

                    Reporting to the AVP, Geospatial and Retail, Data & Analytics, the successful candidate will:

                    -
                    -
                      -
                    • Lead a specialized team of Data Scientists with a distinctive focus in GIS that are responsible for aiding to drive changes and improvement in business practices through geospatial analytics, managing the overall workload to the team, and providing day to day direction as needed.
                    • -
                    • Build trusted relationships with Personal Banking Delivery Excellence, Distribution Channel Strategy, Business Banking and CPB Journey Leads, and other key internal and external partners (Enterprise Analytics, Data Governance & Reporting, Data Science, Chief Operating Officer Analytics, etc.)
                    • -
                    • Maintain strong Governance from end-to-end, follow ED&A standards/internal controls, manage data budget, and ensure time is spent on projects offering ROI for the Bank
                    • -
                    • -Define, own and deliver the cloud strategy for the Geospatial team -
                    • -
                    • -Manage the team as a Center of Excellence (CoE), apply NEW (Next Evolution of Work) concepts
                      Identify opportunities for business growth within a specific business or function by showing potential use cases and value drivers -
                    • -
                    • Proactively support the identification of issues, trends and opportunities, and bring forward recommendations based on judgment and facts
                    • -
                    • Lead prioritization of resources and analytics asks for key strategic partners and set analytical agenda for the team
                    • -
                    • Facilitate key strategic discussions and supply thought leadership to executive audience (output may include strategic roadmap and/or deliverables/ frameworks/ short to long term goals etc.)
                    • -
                    • Foster third-party relationships with key Geospatial vendors (software, data, etc.)
                    • -
                    • Support members of the team to expand their business acumen and take a personal interest in their professional growth/career development
                    • -
                    -
                    -

                    -

                    Requirements

                    -
                    -What can you bring to TD?

                    -

                    Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                    -
                      -
                    • 7+ years of relevant experience in analytics, data science and/or consulting, ideally in an influencing or advisory capacity
                    • -
                    • Advanced university degree in Geospatial Information Science, Geography, Environmental Studies or other relevant analytically based discipline, preferably at a Master’s degree or equivalent
                    • -
                    • Experience managing a team, including people managers (Experience managing data scientists and advanced modelers an asset)
                    • -
                    • Strong knowledge of analytical tools such as ArcGIS, Alteryx, SQL, Databricks, and MS Office applications such as Excel and Power Point
                    • -
                    -

                    Key Skills:

                    -
                      -
                    • Proven ability to influence and gain alignment across stakeholders from multiple backgrounds and lines of business
                    • -
                    • Excellent interpersonal and communication skills, both written and verbal; ability to communicate analytic concepts to non-technical audiences at executive levels
                    • -
                    • Strong analytic skills, including data analysis, business casing, customer insights development, segmentation analysis, and predictive models
                    • -
                    • Familiarity with the use of Geospatial techniques and methodologies in innovative retail/banking applications (e.g. clustering, site selection, location-allocations, multi-criteria evaluation, trade area analysis, etc.)
                    • -
                    • Possess the ability to synthesize large amounts of complex data into key and concise messages for the senior leadership team
                    • -
                    • Act as a role model to inspire Geospatial team and peers through leadership traits (e.g. accountability, empathy, discipline)
                    • -
                    • Strong influencing and collaboration skills, with experience working in a cross-functional setting delivering analytics services to multiple stakeholders, planning and managing/prioritizing a large pipeline of projects
                    • -
                    • Team player who is comfortable with working in a dynamic fast-paced work environment and with an evolving mandate.
                    • -
                    • The ability to develop, impact, and execute key strategic priorities.
                    • -
                    • Adept at building relationships and managing through influence
                    • -
                    • Proactively mitigate business risk and manage expectations.
                    • -
                    • Works efficiently and has solid organizational skills/time management, and the ability to manage multiple responsibilities/initiatives.
                    • -
                    -
                    -

                    -

                    Additional Information

                    -
                    #LI-Hybrid
                    -

                    -

                    Flexible Work Options

                    -
                    N/A
                    -

                    -

                    Hours

                    -
                    37.5
                    -

                    -

                    Inclusiveness

                    -

                    At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                    -

                    -
                    ",,https://jobs.td.com/en-CA/jobs/18100676/sr-manager-analytics-insights-geospatial-information-system-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-01T21:59:00.000Z,False,0,1,30,https://talenthub.vectorinstitute.ai/jobs/217073700-sr-manager-analytics-insights-geospatial-information-system-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18100676/sr-manager-analytics-insights-geospatial-information-system-toronto-ca/,expired,2023-04-20T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -7b5414f8-ef4b-4c00-816e-d3d3b02aab16,205321366,TELUS,Data Engineer,on_site,"Ontario, Canada",2023-03-16T17:42:01.846Z,"
                    -
                    -

                    Description

                    -
                    -


                    Join our team and what we\'ll accomplish together

                    -

                    -

                    Are you obsessed with data and identifying ways to harness and scale data intelligence across an entire organization? Do you love collaborating with fellow data professionals to develop innovative data solutions that lead to positive business outcomes? If your answer is yes, we would be delighted to have you onboard TELUS’ Data Strategy & Enablement team to provide vision and strategic guidance, while driving flawless execution on the development and evolution of large-scale machine learning environments.

                    -

                    -

                    You’ll be part of a multidisciplinary team of data wizards who are capitalizing on analytics and insights to deliver exceptional products and services for our customers. In turn, we hope you’ll enjoy being a valued member of Canada’s #1 global workplace with a world-leading culture featuring extensive community-giving initiatives, flexible work environment including remote work, award-winning opportunities for career development, and a competitive compensation and benefits package.

                    -

                    -

                    As a technology company, data is central to our mission to create better outcomes for our customers, especially as we strive to deliver next generation networks like 5G; unlock the full potential of the Internet of Everything to power smart homes, businesses, industry, healthcare and cities; and deliver an incredible customer experience. Our Data Strategy & Enablement team is at the helm of building world-class data solutions by delivering data analytics capabilities built upon unified scalable platforms, advanced Augmented Intelligence (AI) tooling, high quality data, and a data product and platform-oriented culture. At the same time, this team remains passionate champions of reliability, security and privacy by design, and is committed to creating the utmost level of privacy and security protections for all data on our networks and systems. You’ll provide vision and strategic guidance to evolve from common static analysis to dynamic machine learning deployments, as well as expand our teams’ access to deep insights that improve the customer experience. You’ll work with a talented team of Data Scientists and other professionals to manage TELUS’ data

                    -

                    What you’ll do

                    -
                      -
                    • Build and maintain scalable data infrastructure that offers a best-in-class experience for internal stakeholders including consistent extraction of value from the data
                    • -
                    • Drive data ingestion and processing in innovative ways that inform strategic priorities and decision-making across the organization
                    • -
                    • Foster continuous systems transformation as we migrate infrastructure and applications to Google Cloud Platform (GCP)
                    • -
                    • Build expertise in the team to expose efficiency insights across data platforms in the cloud
                    • -
                    • Manage our cloud data analytics platform priorities to make sure data security and privacy are top considerations
                    • -
                    • Implement automation and monitoring tools through a test-driven approach and mindset
                    • -
                    • Drive the adoption of new cloud technologies to further advance TELUS’ data transformation strategy
                    • -
                    -
                    -
                    -
                    -

                    Qualifications

                    -
                    -

                    What you bring

                    -
                      -
                    • An expert understanding of data warehouses/cloud architectures and ETL processes
                    • -
                    • Advanced working SQL knowledge and experience working with relational databases and query authoring (SQL), as well as working familiarity with a variety of databases
                    • -
                    • Experience with cloud platforms: GCP, Amazon or Azure (GCP gives you an edge!)
                    • -
                    • Experience with Python and software engineering best practices
                    • -
                    • Advanced knowledge in Dataflow, Spark and Kafka, as well as other data pipeline components
                    • -
                    • Experience with data pipeline and workflow management tools such as Airflow
                    • -
                    • Experience with Github and CICD processes
                    • -
                    • 3+ years of progressive and relevant work experience
                    • -
                    • Having a proven track record in leading data analytics platform projects
                    • -
                    • Ready to work in new and challenging work environments
                    • -
                    • Getting excited by the opportunity to build a team\'s capabilities to create value and innovate through data, and doing so in an agile manner with a bias for action and speed
                    • -
                    • Envisioning and delivering future technical roadmaps while inspiring others along the way
                    • -
                    • Being a senior strategist and mentor who is sought out when it comes to analyzing and translating technicalities into business implications
                    • -
                    • Working in cross-functional teams with exemplary communication and coordination skills
                    • -
                    • Proving your analytical skills with root cause analysis of issues
                    • -
                    • Demonstrating resilience, a questioning mindset, and strong observation skills and curiosity – you never settle for the status quo!
                    • -
                    • Caring passionately about your stakeholders and providing them with the data and insights they need to deliver on their customer and business outcomes
                    • -
                    -

                    -

                    Great-to-haves

                    -

                    -
                      -
                    • Post graduate education in Data Engineering, Cloud DevOps or Advanced Analytics
                    • -
                    • Machine learning and data science knowledge
                    • -
                    • Experience with Java in Cloud
                    • -
                    -
                    -
                    -
                    ",,https://careers.telus.com/job/Toronto-Data-Engineer-ON/566944317/,feed-importer@jobboard.io,,,,2023-04-16T15:21:41.378Z,False,0,9,51,https://talenthub.vectorinstitute.ai/jobs/205321366-data-engineer-at-telus,,expired,2023-03-16T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, -29d738b4-a054-4cc4-8083-3361e6a56cd1,213971947,RBC,"Manager, Risk Analytics – Counterparty Credit Risk Innovative Analytics ( 6 Months Contract)",on_site,"Toronto, ON, Canada",2023-04-10T17:16:02.661Z,"
                    -

                    Come Work with Us!

                    At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                    Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                    -

                    Job Title

                    Manager, Risk Analytics – Counterparty Credit Risk Innovative Analytics ( 6 Months Contract)

                    -

                    -

                    Job Description

                    -

                    -

                    What is the Opportunity?

                    -

                    -

                    Our team is focused on the design and deployment of capabilities that enable the end-to-end transformation of our Capital Markets’ Counterparty Credit Risk reporting and analytic metrics, building and leading with technologies that put advanced analytic and AI practices at the forefront.

                    -

                    -

                    We are a team of 30+ resilient, collaborative people with strong backgrounds in both risk management and data analytic, delivering trusted data and analytic capabilities to support top of the house Counterparty Credit Risk Analytic function for RBC Capital markets operations.

                    -

                    -

                    Our main goal is building a future-proof tech stack with modern, flexible architecture that is reusable across different internal channels. In this role, you will join a newly formed Advanced Analytic Team that embraces innovation and is excited to bring a fresh perspective into the design, enhancement and deployment of a state of the art risk analytic platform.

                    -

                    -

                    What will you do?

                    -

                    -

                    As the Manager in Innovative Analytics Team, you will play a key role in contributing to continuous research, design and delivery of an advanced multi-disciplined risk analytic platform within the RBC Capital Markets Counterparty Credit Risk Management Team.

                    -

                    -

                    Nurturing culture and facilitating learning and knowledge sharing will be second nature to you as well as applying your technical know-how to ensure that the Innovative Analytic team is on the leading edge of technical delivery practices. You’ll have the tools and support needed to achieve extraordinary results that make a significant impact extending beyond the boundaries of traditional technology roles. Ideas start here – and you will build great technology.

                    -

                    -

                    If you’re a hands-on technical expert with proven experience operating within high-performing teams, are continuously learning, and excited to collaborate with those around you—we have a spot for you on our team.

                    -

                    -
                    • Develop a thorough understanding of the current state of CCR analytic frameworks, end-to-end CCR metric generation processes and their connection with various upstream source systems.
                    -
                    • Contribute to the research, development and implementation of new mathematical models for calculating various CCR measures. Considerable amount of creative, innovative & analytical thinking and problem solving is required.
                    -
                    • Demonstrate exceptional communication skills (written and oral) by synthesizing key messages across distinct domains into a coherent action plan. -
                    -
                      -
                    • Leverage data analysis, querying and data exploration knowledge on CCR’s diverse number of data sources to perform statistical analysis, build machine learning models and deploy production-grade solutions for identifying insights and opportunities.
                    • -
                    • Become an expert in understanding CCR Innovative Analytics Team’s exiting libraries, leverage them to support delivery of new initiatives in collaboration with various CCR teams and lead KT sessions when required.
                    • -
                    • Partner with and support other teams as required; there are many teams, yet we are one team.
                    • -
                    -

                    -

                    What do you need to succeed?

                    -

                    -

                    Must-have

                    -
                    • Graduate degree in STEM fields; double-major in Economics/Finance/Business and STEM. Strong grasp of fundamentals in statistics (hypothesis testing, regression, inference, and time series) and one of the key risk pillars (market, credit or liquidity).
                    -
                      -
                    • Exceptional development expertise in Python programming writing production-grade code. Expertise with object-oriented and event-driven architecture (OOAD & SOLID principles) and Spark frameworks.
                    • -
                    • Strong data profiling, cleaning, engineering, mining and technical documentation skills; SQL/Data Stores: SQL, PostgreSQL, S3, HDFS and SparkQL.
                    • -
                    • Hands on experience with system configuration and DevOps tools (Jira, Git, GitHub and Confluence).
                    • -
                    • Self-starter with excellent communication skills, with proven ability to grow and mentor more junior technical professionals.
                    • -
                    -

                    -

                    Nice-to-have

                    -
                      -
                    • Experience developing interactive and sophisticated dashboards that communicate complex data insights to a diverse set business stakeholders.
                    • -
                    • Familiarity with building dashboards using Plotly and Dash in Python is an asset.
                    • -
                    • Experience with Airflow, graph databases, Jupyter Notebooks, other ML-related technologies.
                    • -
                    • Familiarity running distributed ML workloads in cluster orchestrated environments.
                    • -
                    • Experience with HTML, CSS and Web Development would be an asset.
                    • -
                    -

                    -

                    -

                    What’s in it for you?

                    -

                    -

                    We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                    -
                      -
                    • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.
                    • -
                    • Leaders who support your development through coaching and managing opportunities.
                    • -
                    • Ability to make a difference and lasting impact.
                    • -
                    • Work in a dynamic, collaborative, progressive, and high-performing team.
                    • -
                    • Opportunities to do challenging work.
                    • -
                    • Opportunities to building close relationships with clients.
                    • -
                    -

                    -

                    -

                    Job Summary

                    As the Manager in Innovative Analytics Team, you will play a key role in contributing to continuous research, design and delivery of an advanced multi-disciplined risk analytic platform within the RBC Capital Markets Counterparty Credit Risk Management Team.

                    Your responsibilities will not be limited to, leveraging data analysis, querying and data exploration knowledge on CCR’s diverse number of data sources to perform statistical analysis, build machine learning models and deploy production-grade solutions for identifying insights and opportunities

                    Address:

                    TORONTO, Ontario, Canada

                    City:

                    CAN-ON-TORONTO

                    Country:

                    Canada

                    Work hours/week:

                    37.5

                    Employment Type:

                    Full time

                    Platform:

                    Group Risk Management

                    Job Type:

                    Contract (Fixed Term)

                    Pay Type:

                    Salaried

                    Posted Date:

                    2023-03-16

                    Application Deadline:

                    2023-04-15
                    -

                    Inclusion and Equal Opportunity Employment

                    -

                    At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                    ​​​​​​​
                    We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                    -
                    -

                    Join our Talent Community

                    Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                    Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                    -
                    ",,https://jobs.rbc.com/ca/en/job/R-0000052963/Manager-Risk-Analytics-Counterparty-Credit-Risk-Innovative-Analytics-6-Months-Contract,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-04-17T17:21:02.213Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/213971947-manager-risk-analytics-counterparty-credit-risk-innovative-analytics-6-months-contract-at-rbc,,expired,2023-04-10T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, -ce38f863-faa9-477c-9e81-79e693aaa357,214826856,OMERS,Business Analyst (12-Month Contract),on_site,"Ontario, Canada",2023-04-13T17:42:02.095Z,"
                    -

                    -

                    -

                    The Business Analyst will join the Data & Analytics (DNA) team within Finance. The Business Analyst will work alongside Technology teams and partner with the business to design, develop, implement, and scale data solutions that follow our data governance requirements (Data Classification, Data Retention, etc.).

                    -

                    -

                    Please note this is a 12 month contract role.

                    -


                    You will work closely with our business and technology teams to support implementation of strategic objectives and where possible, you will also identify advanced methods to simplify and automate our solutions. You will develop and nurture strong relationships with key governance partners (including Cybersecurity, Risk, Privacy) and also those within a variety of different business units across our global portfolio,  to elicit, analyze, document, communicate and manage detailed functional specifications

                    -


                    As a member this team, you will be responsible for:

                    -
                      -
                    • Liaising between business and technology teams to elicit, analyze, document and validate requirements for Data and Advanced Analytics products and solutions
                    • -
                    • Defining detailed solutions in the form of detailed technical specifications/approaches for Finance DNA products
                    • -
                    • Ensuring data governance controls such as classification, retention, and disposition are appropriately considered in our products and solutions
                    • -
                    • Providing hands-on support and technical expertise for product and solution implementation
                    • -
                    • Supporting user adoption via the development and delivery of training and enablement activities
                    • -
                    • Supporting Finance DNA’s goal to remain on the leading edge of emerging data, analytics and AI technologies and techniques by identifying industry innovations and related data risk and compliance challenges
                    • -
                    • Document and Process Map all Analytics Products in Production
                    • -
                    • Document technical documents covering lineage , syntax and build SQL/DAX code repository
                    • -
                    • Support with Data Governance onboarding of Data Tables , Dashboards into Collibra and Knowledge Exchange (Kx)
                    • -
                    • Synchronize PowerBI Development , Test and Production Environments
                    • -
                    • Create Logical Diagrams of integrations into Corporate Finance Data Mart.
                    • -
                    • Build Data Dictionary / Catalogue of all assets currently in Data Mart or as Analytics Products
                    • -
                    • Content Management and access review of all Analytics Products in Production across Corporate Finance, Investment Finance , D&T and other Business Units
                    • -
                    • Provide standard templates for Change Management on Analytics products deployed in Production for appropriate backlog management
                    • -
                    -

                    -

                    To succeed in this role, you have:

                    -
                      -
                    • A degree in Computer Science, Data, Technology, or Engineering (or related experience)
                    • -
                    • 3-5 years of experience as a business systems analyst with an emphasis on the implementation of data analytics and governance solutions (e.g., Microsoft Information Protection, Records Retention Labeling/Policies in Microsoft 365, Collibra, Informatica, Power BI Dashboards, data warehouses)
                    • -
                    • Demonstrated experience partnering with business stakeholders to elicit and document requirement for complex data analytics and governance products
                    • -
                    • Strong understanding of Microsoft 365 (SharePoint, Teams, OneDrive) including experience gathering technical requirements and hands-on experience in these tools. Experience implementing Microsoft Information Protection and retention labels is highly desirable.
                    • -
                    • Demonstrated experience in modernizing data analytics and governance solutions via process engineering, automation, and other leading-edge approaches
                    • -
                    • Excellent verbal and written communication to effectively articulate and communicate with both business and technical development teams 
                    • -
                    • Independent and motivated working style with a passion for learning new things
                    • -
                    • A team player with a good understanding of the Agile methodology and Change Management best practices
                    • -
                    -

                    -

                    -

                    -

                    -

                    Our story:

                    -

                    Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                    -

                    -

                    OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                    -
                    ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Business-Analyst--8-Month-Contract-_JR-4634?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-04-17T17:47:04.166Z,False,0,6,22,https://talenthub.vectorinstitute.ai/jobs/214826856-business-analyst-12-month-contract-at-omers,,expired,2023-04-13T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -e210f419-78d6-42a5-9709-e54734f0f8b9,156497804,Omers,"Lead, Data Analytics Strategy",on_site,"Ontario, Canada",2022-10-13T17:28:06.571Z,"
                    Why join us?

                    OMERS (Ontario Municipal Employees Retirement System) is the defined benefit pension plan for approximately 470,000 active, deferred, and retired employees from nearly 1,000 municipalities, school boards, libraries, police and fire departments, and other local agencies in communities across Ontario.

                    The benefits and services we provide are funded by equal contributions from active members and their employers, and the investment earnings of our Fund. Our $85.2 billion of net assets are invested in a diversified global portfolio of public investments, private equity, infrastructure and real estate. We have OMERS employees in Toronto and other major cities across North America, the U.K., Europe and Australia. We work towards our vision to make OMERS a leading model for defined benefit pension plan sustainability. Our core mission is to deliver secure and sustainable pensions to our members.



                    The Lead, Data Analytics Strategy will be joining the dynamic Enterprise Data, Analytics, Architecture and Engineering team within Data & Technology. They will be responsible for building data, analytics and AI Products and services that enable sustainable growth for the OMERS Pension Plan. This role will work alongside investment teams, pension administrators, the Oxford real estate business and corporate functions to understand their pain points, document requirements and design technical data analytics solutions.

                    Reporting to the Associate Director of Strategy and Product, you will work closely with all facets of OMERS to infuse a human centered design, product management driven approach to the launch of new capabilities, the data-as-a-service offering model and contribute to growing a product first mindset throughout the organization.

                    -

                    -

                    As a member of this team, you will be responsible for:

                    -
                      -
                    • Preparing compelling communications, PowerPoint presentations, emails, newsletters, website, BI dashboards and use other mediums to convey key messages to multiple levels of the organization including senior most leadership

                    • -
                    • Operating as a thought leader in the creation of planning, strategy, objectives, key results, and KPI development for the Data & Advanced Analytics team

                    • -
                    • Preparing business cases, KPI frameworks, roadmaps and pipeline summaries

                    • -
                    • Preparing product backlogs, supporting the product management approach to data, analytics and AI capability development, facilitating in Agile Scrums and facilitating design thinking sessions

                    • -
                    • Researching and making strategic and operational recommendations to achieve goals that grow the application of data, analytics and AI at OMERS and Oxford

                    • -
                    • Working cross-functionally with business leaders, within the Investment, Pensions and Real Estate businesses, in order to identify opportunities, design, and assess improvements to our business

                    • -
                    • Preparing data visualizations in PowerBI following a visual storytelling approach to conveying strategic insights that enable rapid decision making

                    • -
                    • Conducting non-routine analyses, including data gathering, processing, analysis employing advanced statistical and ML methods, with ongoing deliverables to improve the quality of insights teams

                    • -
                    -

                    -

                    To succeed in this role, you have:

                    -
                      -
                    • A Bachelor\'s degree with quantitative component (e.g., Statistics, Computer Science, Math, Business, Engineering)

                    • -
                    • The ability to create executive level PowerPoint presentations

                    • -
                    • Strong acumen for assessing capabilities, requirements and putting a plan into action

                    • -
                    • The ability to be a collaborative team player with superior influencing skills, who builds relationships easily across various stakeholder groups to move initiatives forward

                    • -
                    • An outcome focused, critical thinking mindset with the ability to analyze and visualize, to ensure continuous improvement across our entire business

                    • -
                    • 3+ years of experience in analytics development, analytics translation to the business and data visualization

                    • -
                    • The ability to assess and evaluate impacts based on various scenarios to form fact-based recommendations using quantitative analysis

                    • -
                    • Experience in preparing high quality communications across a variety of mediums

                    • -
                    • Experience in market research and user research

                    • -
                    • Strong Business Acumen and understanding of business operations

                    • -
                    • Experience in defining user personas, user journeys and scoping a backlog

                    • -
                    -

                    -

                    You’ll stand out, if you have:

                    -
                      -
                    • Experience in designing and developing PowerBI dashboards

                    • -
                    • Demonstrated experience in database/analytical tools, statistical analysis, performance monitoring, report writing/presentation development

                    • -
                    • Knowledge of statistics, machine learning and data transformation

                    • -
                    • Experience in the product management methodology and Agile Scrum

                    • -
                    • Experience in facilitating design thinking sessions and applying design thinking methods where applicable

                    • -
                    -

                    -

                    -

                    -

                    -

                    Our story:

                    -

                    Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $121 billion in net assets as at December 31, 2021. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                    -

                    -

                    OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                    -

                    -

                    -

                    Vaccination Policy

                    -

                    -

                    At OMERS and Oxford the office or worksite is our primary place of work. We are committed to providing work environments which promote the health, safety and well-being of all employees in accordance with public health regulation and guidance. Accordingly, employees are required to provide evidence of full vaccination or have an approved exemption.

                    -
                    ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Data-Analytics-Strategy-Specialist_JR-3657,feed-importer@jobboard.io,,,,2022-10-20T17:38:14.230Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/156497804-lead-data-analytics-strategy-at-omers,,expired,2022-10-13T17:28:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -a087bc50-e2ee-4ad5-9208-b660084e78b3,153721815,Scotiabank,"Manager, Analytics & Reporting",on_site,Canada : Ontario : North York || Canada : Ontario : Brampton || Canada : Ontario : Mississauga || Canada : Ontario : Scarborough || Canada : Ontario : Toronto,2022-09-28T20:20:15.090Z,"

                    -

                    -

                    -

                    -

                    Requisition ID: 156031

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    -

                    Purpose

                    -

                    Reporting to the Senior Manager, Analytics & Strategic Planning, the Manager, Analytics & Reporting is accountable for the development, implementation, and ongoing data analytics support of solutions that improve decision-making processes for Operations & Corporate Services. This position is key in cultivating and leveraging the accuracy, quality, and decision-usefulness of the data available to influence critical processes within Operations & Corporate Services.

                    -

                    -

                    This role involves developing important management reporting structures to aide senior leadership in making informed business decisions. The incumbent is required to work closely with peers and leadership as well as directly with core operating units and corporate services partners.

                    -

                    -

                    The Manager, Analytics & Reporting, is also responsible for the execution of mechanisms by which Operations & Corporate Services records and monitors relevant measures, metrics, key performance indicators (KPIs), key risk indicators (KRIs) and Operational Performance Commitments (OPCs) for all functional units.

                    -

                    -

                    -


                    Key Accountabilities

                    -
                    • Champions a high-performance environment and contributes to an inclusive work environment.
                    • Supporting the Senior Manager, Analytics & Strategic Planning on ongoing programs, projects, and ad-hoc initiatives to balance constantly changing (and occasionally conflicting) priorities to meet timelines and achieve milestones
                    • Perform complex data analysis and engage with multiple levels of stakeholders to design, develop, and operationalize KPIs/KRIs/OPCs that support the tactical and strategic needs of our diverse business partners
                    • Lead/facilitate sessions with technical/non-technical stakeholders to support the design and implementation of analytics solutions
                    • Maintain, expand, and deliver portfolio of executive reporting to communicate operational successes and challenges with senior leadership
                    • Collaborates with partners and stakeholders to consolidate, streamline, and improve existing reports to new standards, migrate static reports to interactive dashboards, and to eliminate legacy reports
                    • Collaborate with analytics peers and data infrastructure groups across the Bank on data initiatives such as data pipeline optimization, platform migration, new data source ingestion, and more
                    • Utilizes advanced analytical techniques to uncover patterns, trends, and relationships among large disparate datasets to allow insights into the impact of volumes on productivity to better understand risk environments
                    • Maintain expert knowledge of all primary data sources for the business unit’s data and utilize these data source for reporting purposes effectively
                    • Working with the Senior Manager, Analytics & Strategic Planning to prepare recommendations for senior leadership by addressing relevant issues/trending derived from analytics exercises
                    • Takes an ongoing interest in the field of data analytics and identifies key opportunities to improve operations and internal business partner satisfaction
                    • Builds a high-performance environment and implements a people strategy that attracts, retains, develops, and motivates their team by fostering an inclusive work environment and using a coaching mindset and behaviours; communicating vison/values/business strategy; and managing succession and development planning for the team.
                    • -
                    -

                    -

                    -


                    Education / Experience / Skills and Requirements

                    -
                    • Bachelor’s/Master’s degree in business analytics, management, accounting, engineering, mathematics, statistics, information technology, computer science, finance, or related fields
                    • 3+ years of experience in data analytics, reporting, and overall data management – preferably in financial services or technology companies
                    • Advanced proficiencies in Power BI, Excel, and PowerPoint required
                    • Significant experience in metrics development, dashboarding, and implementation of self-service analytics tools
                    • Expert knowledge of ETL methodologies, data modelling and reporting automation
                    • Experience working with SQL would be an asset
                    • Significant experience in the business intelligence lifecycle including the design, development, QA, deployment, maintenance/support stages
                    • Excellent mathematical, analytical, and problem-solving skills to demonstrate ability to interpret and disseminate layers of complex data into cohesive stories, and present findings to senior leadership to inform decision-making
                    • Strong in project management, requirements gathering, and strategic communications
                    • Ability to manage initiatives concurrently, and to ensure project tasks result in marked progress toward achieving business goals
                    • Excellent ability to manage relationships and communication with business line partners
                    • Excellent communication and interpersonal skills
                    • Excellent critical thinking and problem resolution skills
                    • Thorough knowledge of Scotiabank products, services, regulations, policies, and procedures
                    • -
                    -

                    -

                    -

                    Working Conditions

                    -
                    • Standard office environment: non-standard hours are a common occurrence
                    • -
                    -

                    -

                    -

                    -

                    Location(s): Canada : Ontario : North York || Canada : Ontario : Brampton || Canada : Ontario : Mississauga || Canada : Ontario : Scarborough || Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    Note: All postings in me@Scotiabank will remain live for a minimum of 5 days.

                    ",,https://jobs.scotiabank.com/job/North-York-Manager%2C-Analytics-Operations-&-Corporate-Services-ON-M3C0N5/561130017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-10-20T14:51:00.000Z,False,0,5,24,https://talenthub.vectorinstitute.ai/jobs/153721815-manager-analytics-reporting-at-scotiabank,https://jobs.scotiabank.com/job/North-York-Manager%2C-Analytics-Operations-&-Corporate-Services-ON-M3C0N5/561130017/,expired,2022-09-28T20:20:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -a7de2856-bd06-4b9b-8fc3-e976a11b69fc,155306285,FreshBooks,"Senior Data Modeler (North America, Remote)",on_site,"London, ON, Canada",2022-10-06T05:09:07.857Z,"

                    About FreshBooks

                    -

                    FreshBooks is a leading cloud-based SaaS accounting software designed with one goal: to help small business owners grow. We reached unicorn status after raising our valuation to more than $1 billion and continue to scale our business to serve business owners, their clients, and accountants in more than 160 countries worldwide. FreshBookers are found all over the globe, and we know that different folks thrive in different working environments: Remote, onsite, and everything in between, you’ll find it with us.

                    -

                    The Opportunity - Senior Data Modeller

                    -

                    FreshBooks is seeking a Senior Data Modeller to join our team. Because we work on the cutting edge of a lot of technologies, we need someone who is a creative problem solver, resourceful in getting things done, and productive working independently or collaboratively. If this profile sounds like you, we’d love to hear from you!

                    -

                    What You'll Do as a Senior Data Modeller

                    -
                      -
                    • Assume a technical leadership role on our Data Engineering team to help us architect our data warehouse and related processes.
                    • -
                    • Become an expert in our business and help translate that expertise into analytics table designs that balance ease of use for our data consumers with warehouse performance at scale.
                    • -
                    • Work closely with our Data Analytics, Data Products and Data Science teams to understand their data consumption habits and represent their needs in your recommendations to our Data Engineers for design and implementation.
                    • -
                    • Contribute to our Data & Analytics roadmaps, providing design consultation for our enterprise data warehouse and related storage architecture, setting us up for success over the long term.
                    • -
                    • Collaborate with senior technical leaders from across the organization to help us with our big picture, enterprise technology choices.
                    • -
                    • Be a coach for Data Engineers and an advocate for high quality design choices.
                    • -
                    -

                    What You'll Bring to the Role

                    -
                      -
                    • Enthusiasm for data and analytics!
                    • -
                    • 8+ years experience in the data and analytics industry including 3+ years designing and maintaining data models.
                    • -
                    • Expertise designing and maintaining conceptual, logical and physical data models.
                    • -
                    • Expertise with Google Cloud, or another major cloud provider like AWS or Azure.
                    • -
                    • Expertise with BigQuery, Snowflake, Redshift, or similar cloud data warehouse technologies.
                    • -
                    • Strong SQL skills and expertise optimizing data warehouse objects.
                    • -
                    • Strong skills working with operational and transactional OLTP data structures and representing these in OLAP structures for analytics use cases.
                    • -
                    -

                    You'll Stand Out If You Bring Experience In

                    -
                      -
                    • Experience designing data infrastructure for consumption in Looker.
                    • -
                    • Expertise with data modeling software like Erwin, Powerdesigner, etc.
                    • -
                    • Expertise with DBT.
                    • -
                    • A limitless imagination for where data could go and what we can do with it to make our customers and our people awesome!
                    • -
                    -

                    Our Commitments to You

                    -

                    At FreshBooks each person knows their opinion is valued, and can see their impact on the lives of over 10 million small business owners around the world. Accelerate your career, work on projects you're passionate about, and work as a part of a collaborative team without ego! Here are some of the ways FreshBooks recognises and rewards our employees:

                    -
                      -
                    • -🩺 Comprehensive Health and Wellness Benefits. Including retirement savings programs matched to your local office, stock options for every full time employee, generous time off, parental leave and new parent support, annual healthy living credit, comprehensive medical and dental benefits dependent on your region, and more. -
                    • -
                    • -📚 Perks that Matter. Including a Peer Recognition Program, an Employee Assistance Program, headphone credit, meaningful in-person gatherings to bring onsite and remote employees together, and more perks matched to your locale. -
                    • -
                    • -🌱Working Environments to Help You Thrive. Beautiful office spaces welcome you in Canada and Mexico, and remote FreshBookers receive a home office credit to set up your home office. -
                    • -
                    • -🤗 Supportive Peer Group, Mentors, and Leaders. We care about each other across the organisation and have programs to support this so everyone feels a strong sense of belonging, and believes in collective impact. -
                    • -
                    • -🚀 Accelerated growth. 3 week dedicated company onboarding, career development through continuous coaching, training, and learning on the job, and a bi-annual review process. -
                    • -
                    -

                    Closing

                    -

                    Even if your experience doesn't meet every bullet on the above lists, we'd love to learn more about you and why you think FreshBooks is the next step in your career.

                    -

                    FreshBooks is an equal opportunity employer. We do not discriminate based on gender, religion, race, mental disability, sexual orientation, age, or any other status. All applicants are considered based on their qualifications and merits. At FreshBooks, we inspire an environment of mutual respect and we believe diversity and inclusion are crucial to our success.

                    -

                    FreshBooks provides employment accommodation during the recruitment process. Should you require any accommodation, please indicate this on your application and we will work with you to meet your accessibility needs. For any questions, suggestions or required documents regarding accessibility in a different format, please contact us at phone 416-780-2700 and/or accessibility@freshbooks.com.

                    -

                    -

                    -

                    -

                    #LI-NN1

                    ",,https://boards.greenhouse.io/freshbooks/jobs/4582934,feed-importer@jobboard.io,,,,2022-10-21T17:36:04.532Z,False,0,1,22,https://talenthub.vectorinstitute.ai/jobs/155306285-senior-data-modeler-north-america-remote-at-freshbooks,https://boards.greenhouse.io/freshbooks/jobs/4582934,expired,2022-10-06T05:09:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Information and Media),Senior Level,Masters Degree,New Posting, -f317e4e9-29c4-4c28-af2f-127d5061064f,157405273,Scotiabank,"Data Analyst - Global Compliance Data, Analytics, & Technology",on_site,Canada : Ontario : Toronto,2022-10-17T17:17:19.956Z,"

                    -

                    -

                    -

                    -

                    Requisition ID: 165080

                    Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                    -

                    -

                    Purpose

                    -

                    Within Scotiabank’s Global Compliance department, the Data Analytics team is looking to hire a Data Analyst. The Data Analyst will contribute to the overall success of our team and work closely with business analysts, data scientists and data engineers to address business opportunities. The successful candidate will have to understand the business needs and requirements to support and enhance our analytics function. We are looking for an individual with a passion for data, interested in its applications within Compliance and be a team player.

                    -

                    -

                    Accountabilities

                    -
                    • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                    • Provides technical expertise in designing and implementing data pipelines.
                    • Plans and facilitate discussions with business clients to gather business, data source requirements, and use cases to support advanced analytics.
                    • Creates dashboards to share data insights with the business, builds data features used for modeling, reporting and advanced analytics.
                    • Builds and maintains proper documentation, data lineage and extract-transform-load (ETL) processes.
                    • Maintains a good understanding of the Bank's business strategies, policies, risk management and IT processes and disciplines.
                    • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                    • Actively pursues effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
                    • Champions a high-performance environment and contributes to an inclusive work environment.
                    • -
                    -

                    -

                    Education/Experience

                    -
                    • University degree and/or college diploma in relevant STEM discipline (Computer Sciences, Electrical/ Computer/ Software Engineering, Mathematics).
                    • 2+ years of experience in cleaning, transforming and visualizing data sets working from various data formats (e.g., unstructured logs, XML, JSON, flat files).
                    • Have hands-on programming experience and advanced knowledge of SQL and Python.
                    • Experience with agile methodologies, implementing and managing visualization tools such as Power BI, or Tableau.
                    • Understand data model, data architecture and data lineage
                    • Experience using big data technologies (Hadoop, Hive, Spark, EMR, etc.) and promoting data pipelines to production
                    • Excellent communication skills, with a strong customer-focus.
                    • Experience with statistical analysis and machine learning with common machine learning libraries in R, Matlab and/or Python.
                    • Experience with machine learning algorithms like Regression, Decision Tree, SVM, NLP, Time Series.
                    • -
                    -

                    -

                    Location(s): Canada : Ontario : Toronto

                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                    ",,https://jobs.scotiabank.com/job/Toronto-Data-Analyst-Global-Compliance-Data%2C-Analytics%2C-&-Technology-ON-M5H1A1/564219217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-10-24T16:59:00.000Z,False,0,5,11,https://talenthub.vectorinstitute.ai/jobs/157405273-data-analyst-global-compliance-data-analytics-technology-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Analyst-Global-Compliance-Data%2C-Analytics%2C-&-Technology-ON-M5H1A1/564219217/,expired,2022-10-17T17:17:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, 965eb9b8-655b-4f58-b057-4ae4902ff689,153858721,EY,"Manager, Data Management and Governance",on_site,Toronto,2022-09-29T04:44:02.144Z,"

                    Manager, Data Management and Governance

                    Location: Toronto
                    Other locations: Primary Location Only
                    @@ -284098,6 +292664,834 @@ f21a8010-685d-4837-8afa-ac63a62b6b60,111991873,Bell Canada,"Developer, Data Engi

                    Created: Canada, ON, Toronto

                    Bell, one of Canada's Top 100 Employers.

                    ",,https://jobs.bell.ca/ca/en/job/BECACA353918EXTERNALENCA/Developer-Data-Engineering?utm_source=VectorInstitute&utm_medium=phenom-feeds,info@bell.ca,,,,2022-03-08T14:23:00.000Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/111991873-developer-data-engineering-at-bell-canada,BECACA353918EXTERNALENCA,expired,2022-03-03T14:18:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, +7df5b25a-e4db-4cfd-b14e-9018f743f1e1,232858620,Avidbots,DevOps Engineer,on_site,"Ontario, Canada",2023-06-05T16:15:03.345Z,"
                    +

                    At Avidbots, we believe in solving real world problems with autonomous robotics solutions. Our current product, Neo, is a fully autonomous floor scrubbing robot deployed and trusted by the world’s leading facilities, building services, and retail companies and we aren’t stopping there! Headquartered in Kitchener, ON, Canada, Avidbots is a rapidly growing technology company, recognized as a Great Place to Work and one of Deloitte\'s Fast 500. Take a look at what Neo can do!

                    +

                    +

                    This opportunity is a hybrid position

                    +

                    +

                    About the role:

                    +

                    As a DevOps Engineer of the remote team, you will play a critical role in our organization\'s success by designing, implementing, and maintaining the infrastructure and systems that support our operations. This role requires a unique blend of skills in Linux, and Python, along with DevOps, cloud computing principles and C++.

                    +

                    +

                    The successful candidate will be responsible for ensuring that our systems are optimized for performance, security, and reliability, and will work closely with cross-functional teams to support the organization\'s goals. The role offers professional growth and development opportunities in a fast-paced, dynamic environment. If you are a highly skilled engineer with a passion for infrastructure and system design, we encourage you to apply for this exciting opportunity.

                    Key Responsibilities:

                    +
                      +
                    • + Design and implement infrastructure solutions that meet the needs of the organization, including server architecture, networking, storage, and security. +
                    • +
                    • + Monitor and troubleshoot production systems to ensure uptime and performance, and implement solutions to address any issues. +
                    • +
                    • + Collaborate with cross-functional teams to ensure that infrastructure and systems are integrated and optimized to support the organization\'s goals. +
                    • +
                    • + Implement DevOps best practices, including continuous integration and delivery, configuration management, and automated testing. +
                    • +
                    • + Maintain AWS cloud infrastructure +
                    • +
                    • + Develop and maintain documentation for infrastructure and systems, including procedures, policies, and system configurations. +
                    • +
                    • + Stay up-to-date with industry trends and emerging technologies, and make recommendations for improvements to infrastructure and systems. +
                    • +
                    • + Develop, test, and maintain C++ applications and scripts for automation and monitoring of infrastructure and systems. +
                    • +
                    • + Develop, test, and maintain Python applications and scripts for automation and monitoring of infrastructure and systems. +
                    • +
                    +

                    +

                    Required Skills & Experience:

                    +
                      +
                    • + BE / B-Tech or higher degree in Computer Science / Engineering +
                    • +
                    • + 5+ years of overall infrastructure software development and support process experience +
                    • +
                    • + Strong understanding of DevOps principles and best practices, including continuous integration and delivery, infrastructure as code, and automated testing. +
                    • +
                    • + Working knowledge of Jenkins, Jira, confluence, bitbucket, Docker +
                    • +
                    • + Extensive background in Linux system administration (5 Years), including command-line tools, shell scripting, and system configuration. +
                    • +
                    • Proficiency in Python programming, with knowledge of scripting, data analysis, and web development frameworks.
                    • +
                    • +Proficiency in C++ programming, with knowledge of data structures, algorithms, and object-oriented programming principles. +
                    • +
                    • + Excellent communication and collaboration skills, with the ability to work effectively in a team environment. +
                    • +
                    +

                    +

                    Nice to have:

                    +
                      +
                    • + Experience with cloud computing platforms, such as AWS / Azure. +
                    • +
                    • + Knowledge of ROS to build and reuse code between robotics applications. +
                    • +
                    • + Familiarity with docker orchestration tools such as Kubernetes. +
                    • +
                    • + Experience with configuration management and infrastructure provisioning tools such as Ansible, Puppet, or Chef +
                    • +
                    +

                    +

                    Avidbots is an equal opportunity employer committed to building a diverse workforce. As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. We offer a professional working environment and culture and believe that work/life balance is critical to ensure the happiness/well-being of our people.

                    +

                    Upon request, Avidbots will provide reasonable accommodation for applicants with disabilities throughout the recruitment and selection process

                    +

                    +
                    ",,https://avidbots.bamboohr.com/careers/669,feed-importer@jobboard.io,,,,2023-06-16T02:23:02.313Z,False,0,4,28,https://talenthub.vectorinstitute.ai/jobs/232858620-devops-engineer-at-avidbots,,expired,2023-06-05T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Mid-Senior Level,Bachelors Degree,New Posting, +188e5df0-0b06-4eda-aa16-a16f8ca2ac1d,233913652,Avidbots,Senior Software Test Engineer,on_site,"Ontario, Canada",2023-06-08T16:15:02.015Z,"
                    +

                    This is a unique role within the QA team working on the cutting edge of robotics technology, and testing everything from path planning, sensor data algorithms to safety systems and performance. The role requires a self-starter who can take ownership of testing the robot software in-house by writing and executing automated test scripts that primarily optimize on overall test coverage and produce detailed reports for test results. If you are passionate about test automation, eager to help build and contribute to our automated test framework, then you just might be the professional we’re looking for!

                    +

                    +

                    Day-to-Day Activities

                    +
                    • +Develop automated test suites using Python and Selenium for robots using the ROS operating system
                        +
                      +
                        +
                      • Design, implement and test automated test scripts that meet the overall business requirements of overall system functionality including graphical user interface
                      • +
                      • Document automated tests in Zephyr with emphasis on correctness and completeness
                      • +
                      • Integrate Jenkins with bitbucket to automate the process of continuous integration and deployment
                      • +
                      • Perform initial diagnosis of bugs found in automation and communicate failures to stakeholders using Jira
                      • +
                      • Identify opportunities to improve the test automation framework and test methodologies
                      • +
                      +

                      +
                        +

                        Requirements

                        +
                          +
                        • BEng / BSc in Computer Science, or Software Engineering
                        • +
                        • 5+ years experience with software development and test automation
                        • +
                        • Demonstrated expertise in Python programming with knowledge of scripting, data analysis, data structures, algorithms, and object oriented programming
                        • +
                        • Strong knowledge with Python Selenium, PyGui and PyYAML
                        • +
                        • Effective functional, performance, regression and e2e automation experience
                        • +
                        • Extensive background in Linux operating systems (5 years), including Command Line Interface, shell scripting and system configuration
                        • +
                        • Experienced with using Git, Bitbucket, Jenkins, Jira, Confluence and Test Case Management systems like Zephyr
                        • +
                        • Strong understanding of test methodologies, processes, and tools including continuous integration and continuous delivery
                        • +
                        • Effective communication and collaboration skills working in a team environment
                        • +
                        +
                        • Successfully complete pre-employment onboarding requirements that may include: criminal/civil background checks and motor vehicle records search)
                        +

                        +

                        Nice to Haves

                        +
                          +
                            +
                          • Knowledge with the Robot Operating System (ROS)
                          • +
                          • Familiar with Docker, Ansible, and Beautifulsoup
                          • +
                          • Should be able to develop an automated test framework from scratch
                          • +
                          +

                          +

                          About Avidbots

                          +

                          At Avidbots, we believe in solving real world problems with autonomous cleaning robotic solutions to unlock humanity’s potential. Neo is our current groundbreaking autonomous floor scrubbing robot that enhances facility cleanliness around the world empowering reallocation of human capital to higher priority focuses… and we’re just getting started!

                          +

                          +

                          Headquartered in Kitchener, ON, Canada, we are an employee-focused organization that has been certified a Great Place to Work® consecutively for the last 4 years and one of Deloitte\'s Fast 500 (2021).

                          +

                          +

                          Now is your opportunity to join a fast-growing technology company built on teamwork, innovation, and boundless ambition!

                          +

                          +

                          Check Neo out!

                          +

                          +

                          ***Applicants must be currently authorized to work in Canada for any employer

                          +

                          +

                          CAD: Avidbots is an equal opportunity employer committed to building a diverse workforce. As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. We are a diverse Canadian company founded by international students, and we are proud of the strengths our diversity brings. We hold our executives to the same standards as all of our employees, and we believe work should be a safe space for all. Avidbots has an absolutely zero tolerance policy for discrimination or hate against members of any race, religion or sexual orientation. We also offer a professional working environment and culture and believe that work / life balance is critical to ensure the happiness/well-being of our people.

                          +


                          Upon request, Avidbots will provide reasonable accommodation for applicants with disabilities throughout the recruitment and selection process.

                          +

                          +

                          #INDAV

                          +
                          ",,https://avidbots.bamboohr.com/careers/672,feed-importer@jobboard.io,,,,2023-06-16T02:23:02.313Z,False,0,2,12,https://talenthub.vectorinstitute.ai/jobs/233913652-senior-software-test-engineer-at-avidbots,,expired,2023-06-08T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Product Development),Senior Level,Bachelors Degree,New Posting, +2cf5dde8-e58b-44e4-bf6e-eeaf844e5fd5,226184348,EY,Senior Manager - Data Architect - Toronto,on_site,Toronto,2023-05-16T16:01:01.974Z,"

                          Senior Manager - Data Architect - Toronto

                          Location: Toronto
                          Other locations: Primary Location Only
                          Date: May 26, 2023
                          At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
                          +
                          +

                          The opportunity

                          +

                          +

                          We are seeking an experienced Data Architect that can translate business strategies and requirements into world-class technical solutions, applications, and process designs. The role assumes the responsibility for all technical aspects of solution delivery, from inception through design to implementation. They will conduct regular detailed solution analysis and provide expert judgment pertaining to highly complex technical issues including all aspects related to development, infrastructure, data, and configuration management perspectives. This role requires a rare blend of skills normally found in the specialized roles of Cloud Architect, Data Analyst, Data Engineer and Reporting Specialist. The Data Architect will also assist in the establishment and enforcement of architectural standards and best practices to ensure consistency in data solutions delivery across development teams.

                          +

                          +

                          Your Key Responsibilities:

                          +
                          • Lead and provide oversight into the design of end-to-end data solutions including data architecture, data integration, data modelling, security, privacy, regulatory, performance, data governance, business intelligence, etc. and to ensure alignment to the overall business needs
                          • Provide technical oversight and recommendations on data infrastructure (on-prem and Cloud)
                          • Lead discovery sessions with primary business stakeholders to obtain knowledge of business objectives, challenges, and requirements
                          • Present and socialize proposed solutions to technical boards during review sessions as well as articulate and communicate designs to stakeholder groups
                          • Support solution delivery by providing insights to the application development teams and project managers that plan and execute delivery activities
                          • Support implementation processes in association with internal and external development teams. Participate in project-related activities.
                          • Assume responsibility for the quality of the implemented solution and its adherence to technology strategies, standards, and best practices
                          • Create solution architecture documents that describe and explain solution attributes and associated benefits
                          • Stay current on emergent technologies relevant to supporting the data solutions delivered for customers
                          • Support the identification of opportunities for continuous improvement of solution management methodologies, including obtaining feedback after the solution has been implemented
                          • Assist in the identification and recommendation of appropriate solutions, upgrades, replacements, or decommissioning options incorporating business and technology productivity, usability, and total cost of ownership
                          • +
                          +


                          To qualify for the role you must have:

                          +
                          • Bachelor’s degree in Information Technology, Software Engineering, Computer Science, or related field. Related professional certifications and/or training is considered an asset.
                          • 10+ years demonstrated experience in the design and implementation of modern data architectures to support large scale data solutions
                          • Expert knowledge of data patterns to support architectures and data management concepts/processes including ETL/ELT, Data Mesh, date lake, data lakehouse, data warehouse, data streaming, data virtualization, etc.
                          • Strong understanding of data modeling (dimensional, data vault, etc.) principles and techniques based on established methodologies (e.g., Kimball).
                          • Strong knowledge of ETL tools such as Informatica, SSIS, Talend, DataStage, etc. as well as standards and best practices for ETL development
                          • Strong knowledge of data governance framework principles and vendor platforms (e.g., Collibra, Informatica EDC/Axon)
                          • Experience with data manipulation and visualization tools such as Tableau, Power BI, etc.
                          • Strong knowledge of SQL and demonstrated ability to apply SQL to a wide variety of business requirements.
                          • Strong Knowledge of ETL frameworks using Azure Data Factory and Databricks Notebooks.
                          • Strong knowledge in data warehousing concepts and data platforms (e.g., Snowflake, Databricks)
                          • Strong knowledge of Azure-based architecture and services such as RBAC, AAD, VM, ADLS, Azure DevOps, and Events hub.
                          • Proficient in building secure architecture using: Encryption, Azure key vault, Access control, Network security, and Advanced data security.
                          • Knowledge of MDM concepts and solutions
                          • Demonstrated experience deploying data solutions in Big Data platforms (e.g., AWS, Azure, GCP, etc.).
                          • Strong analytical and decision-making skills.
                          • Experience working within multidisciplinary, distributed, and collaborative environments.
                          • +
                          +


                          What we look for

                          +

                          +

                          We’re interested in passionate leaders with a strong vision and a desire to stay on top of trends in the IT Advisory space. If you have a strong passion for helping businesses achieve their IT strategy, this role is for you.

                          +

                          +

                          What we offer

                          +

                          +

                          At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

                          +


                          We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

                          +
                          • Support and coaching from some of the most engaging colleagues in the industry
                          • Learning opportunities to develop new skills and progress your career
                          • The freedom and flexibility to handle your role in a way that’s right for you
                          • +
                          +

                          +

                          Diversity and Inclusion at EY

                          Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. From our actions to combat systemic racism and our advocacy for the LGBT+ community to our innovative Neurodiversity Centre of Excellence and Accessibility initiatives, we welcome and embrace the diverse experiences, abilities, backgrounds and perspectives that make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                          +
                          +
                          EY | Building a better working world
                          +
                          +
                          EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
                          +
                          +
                          Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
                          +
                          +
                          Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
                          ",,https://careers.ey.com/ey/job/Senior-Manager-Data-Architect-Toronto/897923401/,feed-importer@jobboard.io,,,,2023-06-15T20:43:20.852Z,False,0,3,18,https://talenthub.vectorinstitute.ai/jobs/226184348-senior-manager-data-architect-toronto-at-ey,https://careers.ey.com/ey/job/Senior-Manager-Data-Architect-Toronto/897923401/,expired,2023-05-16T16:01:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,New Posting, +f73d13f2-1cf1-4793-9706-a167275e8461,226183884,Borealis AI,Senior Machine Learning Researcher - Atom Group,on_site,"Ontario, Canada",2023-05-16T15:55:02.549Z,"
                          +

                          What\'s the opportunity?

                          +

                          As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                          +

                          Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                          +

                          Your responsibilities include:

                          +
                            +
                          • Developing novel AI solutions that facilitate impactful products;
                          • +
                          • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                          • +
                          • Working with the development team to transfer research work into production;
                          • +
                          • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                          • +
                          • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                          • +
                          +

                          You’re our ideal candidate if you have:

                          +
                            +
                          • A passion for solving open problems using data and algorithms;
                          • +
                          • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                          • +
                          • Ability to formulate and drive a research project independently without close supervision;
                          • +
                          • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                          • +
                          • Demonstrated ability to deliver machine learning solutions following industry best practices in software engineering is an asset.
                          • +
                          • Experience with time series or event forecasting, especially with asynchronous data, is an asset.
                          • +
                          +

                          What’s in it for you?

                          +
                            +
                          • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                          • +
                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                          • +
                          • Leaders who support your development through coaching and managing opportunities;
                          • +
                          • Ability to make a difference and lasting impact from a local-to-global scale.
                          • +
                          +

                          About Borealis AI

                          +

                          Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                          +

                          Inclusion and Equal Opportunity Employment

                          +

                          RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request

                          +
                          ",,https://www.borealisai.com/careers/?gh_jid=5870636002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-06-15T20:41:50.999Z,False,0,6,35,https://talenthub.vectorinstitute.ai/jobs/226183884-senior-machine-learning-researcher-atom-group-at-borealis-ai,,expired,2023-05-16T15:55:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,PhD,New Posting, +f70e89c1-f64a-40d5-9fc0-f8b0f6e27b97,164063554,BMO Financial Group,"Analyst, Channel Analytics",on_site,"Toronto, ON, Canada",2022-11-07T17:12:03.086Z,"
                          +

                          Address:

                          55 Bloor Street West

                          +

                          +

                          Job Family Group:

                          Data Analytics & Reporting

                          +

                          +

                          +

                          +

                          The Channels Analyst is responsible for developing automated, scalable reporting and analytics solutions for Canadian Personal & Business Banking. This position will support omni-channel analytics through delivery of reporting, insights and measurement in line with Enterprise strategy and Digital Acceleration.

                          +

                          +

                          The incumbent will act as reporting and analytics subject matter expert for the Digital Channels portfolio while also supporting North American Customer Contact Centre, combining both business and technology acumen to generate and maintain reporting in various forms (ad-hoc analyses, data visualization, self-serve BI).

                          +

                          +

                          Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                          +

                          +
                            +
                          • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                          • +
                          • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                          • +
                          • Build Power BI Dashboards from scratch and maintain existing reporting
                          • +
                          • Data curation – extracting data from multiple sources, manipulating and validation using database tools. Must have SAS, SQL skills and experience +
                          • +
                          • Identify, analyze and interprets trends of patterns in complex data set. Analyze data to drive business decisions and actionable recommendations
                          • +
                          • Assimilate and analyze information from a variety of sources, make recommendations and present information in an easy and understandable manner
                          • +
                          • Develop in-depth understanding of BMO data and systems (IDP, CAD, CDW, Adobe)
                          • +
                          • Comfortable with ambiguity – self-learner able to independently navigate complex data
                          • +
                          • Work proactively and collaboratively with key clients and stakeholders to continuously enhance reporting
                          • +
                          • Quality check key deliverables, ensuring they are delivered accurately and to the highest quality
                          • +
                          • Works independently on a range of complex tasks, which may include unique situations.
                          • +
                          +

                          +
                            +
                          • Qualifications:

                          • +
                          • Typically a minimum of 2 years of relevant experience in business intelligence/ ETL, analytics and post-secondary degree in related field of study or an equivalent combination of education and experience.
                          • +
                          • Strong experience within data preparation, data analysis, and statistical tool sets including but not limited to SQL, SAS, R/Python - In depth
                          • +
                          • Experience implementing data visualization (Power BI) In depth
                          • +
                          • Strong logical thinking, analytical and problem solving skills;
                          • +
                          • Willingness to learn and being curious;
                          • +
                          • Technical proficiency gained through education and/or business experience.
                          • +
                          • Verbal & written communication skills - In-depth.
                          • +
                          • Collaboration & team skills - In-depth.
                          • +
                          • Analytical and problem solving skills - In-depth.
                          • +
                          • Influence skills - In-depth.
                          • +
                          • Data driven decision making - In-depth.
                          • +
                          +

                          +

                          +

                          We’re here to help

                          +

                          +

                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                          +

                          +

                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                          +

                          +

                          To find out more visit us at https://jobs.bmo.com/ca/en.

                          +

                          +

                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                          +

                          +

                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                          +
                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Analyst--Channel-Analytics_R220029631?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://bmocareers.com/,,,2022-11-14T20:52:00.000Z,False,0,2,8,https://talenthub.vectorinstitute.ai/jobs/164063554-analyst-channel-analytics-at-bmo-financial-group,,expired,2022-11-07T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, +cf1659ff-d596-4deb-ab0f-5ad62bec0f9f,149267528,BMO Financial Group,"Cloud Business Office Analytics Analyst, Winter 2023 (Co-op/Internship) - 4 Months",on_site,"Ontario, Canada",2022-09-08T07:35:07.572Z,"
                          +

                          Address:

                          4100 Gordon Baker Road

                          +

                          +

                          Job Family Group:

                          Data Analytics & Reporting

                          +

                          +

                          +

                          +

                          As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference.

                          +

                          +

                          You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.

                          +

                          Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO First Friend peer assignment, BMO Social Squad student-led activities, BMO U corporate learning platform and access to various Employee Resource Groups to further develop your network within BMO.

                          +

                          +

                          Note: Only students currently enrolled in an academic program and returning to their studies will be considered for Co-op/Internship opportunities. Students who recently graduated are invited to apply to our New Grad opportunities which are available at https://jobs.bmo.com/ca/en/new-grad

                          +

                          Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Instagram @BMO_on_Campus or joining our LinkedIn group BMO Campus Recruiting & Early Talent.

                          +

                          +

                          To apply for this opportunity, please submit your resume and an unofficial copy of your academic transcript. By applying for this general posting, you will be considered for a number of different student opportunities across multiple locations. If you are selected to move forward, you will be provided additional information.

                          +

                          +

                          +

                          Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                          +
                            +
                          • Builds effective relationships with internal/external stakeholders.
                          • +
                          • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                          • +
                          • Designs, develops, and implements innovative analytical solutions.
                          • +
                          • Designs and produces regular and ad-hoc reports, and dashboards.
                          • +
                          • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                          • +
                          • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                          • +
                          • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                          • +
                          • Analyzes data and information to provide subject-matter insights and recommendations.
                          • +
                          • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                          • +
                          • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                          • +
                          • Builds effective relationships with internal/external stakeholders.
                          • +
                          • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                          • +
                          • Focus may be on a business/group.
                          • +
                          • Thinks creatively and proposes new solutions.
                          • +
                          • Exercises judgment to identify, diagnose, and solve problems within given rules.
                          • +
                          • Works mostly independently.
                          • +
                          • Broader work or accountabilities may be assigned as needed.



                            Qualifications:

                            +
                          • +
                          • As a full-time employee, we would require 3-5 years of experience, however as part of the BMO campus program, we are looking for motivated individuals with a strong desire to learn.
                          • +
                          • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Good.
                          • +
                          • Specialized knowledge from education and/or business experience.
                          • +
                          • Verbal & written communication skills - In-depth.
                          • +
                          • Collaboration & team skills - In-depth.
                          • +
                          • Analytical and problem solving skills - In-depth.
                          • +
                          • Influence skills - In-depth.
                          • +
                          +

                          +

                          +

                          We’re here to help

                          +

                          +

                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                          +

                          +

                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                          +

                          +

                          To find out more visit us at https://jobs.bmo.com/ca/en.

                          +

                          +

                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                          +

                          +

                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                          +
                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Cloud-Business-Office-Analytics-Analyst--Winter-2023--Co-op-Internship----4-Months_R220024012,feed-importer@jobboard.io,,,,2022-09-26T15:06:00.000Z,False,0,2,13,https://talenthub.vectorinstitute.ai/jobs/149267528-cloud-business-office-analytics-analyst-winter-2023-co-op-internship-4-months-at-bmo-financial-group,,expired,2022-09-08T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +e3e81035-a6ba-4e24-8f02-aed1600290dc,130418928,CN,Intern Cybersecurity Project Coordinator,on_site,"Ontario, Canada",2022-06-09T07:35:21.432Z,"
                          +

                          At CN, everydaybrings new and exciting challenges. You can expect an interesting environmentwhere you’re part of making sure ourbusiness is running optimally and safely―helping keep the economy on track. We welcome students who share theirideas, perspectives and understanding of newtechnologies withour teams. In return, we provide the opportunity towork on exciting projects with experienced collaborators who are happy to share their knowledge, all within a mutually-agreed to framework. Youwill be able to thrive in our close-knit, safety-focused culture workingtogether as ONE TEAM. The opportunities we offer are meaningful because thework we do matters. Join us!

                          +

                          +

                          Canadian National Railway Company (CN) islooking for a highly motivated person to fulfill a full-time(40h/week) Intern Cybersecurity Project Coordinator position in Canada for fall 2022 (September - December).

                          +

                          +

                          Job Summary

                          +

                          The Intern, Cybersecurity Project Coordinator is responsible for executing activities that support the Chief Information Security Office’s (CISO) Delivery team with the deployment of various Cybersecurity projects. The CISO Delivery team runs the organization’s Cybersecurity Project Portfolio, a collection of projects that aim to reduce CN’s cyber risks. In addition, the CISO Delivery team is accountable for the delivery of all Cybersecurity initiatives and interfacing with various collaborators from the different pillars of the organization.

                          +

                          Major Responsibilities

                          +
                            +
                          • Assist the CISO Delivery team on key project deliverables follow-up
                          • +
                          • Assist in maintaining and monitoring project plans, schedules, work hours, budgets, and expenditures
                          • +
                          • Interface with various Resource Managers to confirm project capacity for required resources
                          • +
                          • Organize, attend, and participate in stakeholder meetings
                          • +
                          • Document and follow up on important actions and decisions from meetings
                          • +
                          • Prepare presentation materials for meetings
                          • +
                          • Ensure that project deadlines are met
                          • +
                          • Assist in activities needed to report on project progress
                          • +
                          • Assist in the creation of project plans and the identification of project milestones
                          • +
                          • Coordinate project activities by completing templates, forms, slides, task tracking documentation, and recording meeting minutes
                          • +
                          +

                          Requirements

                          +
                            +
                          • Experience in Business or Computer Science*
                          • +
                          • Experience in Cybersecurity*
                          • +
                          +

                          Education

                          +
                          • Bachelor’s Degree in Business, Project Management, Computer science or equivalent field
                          +

                          *Any experience/education/skills/knowledge for these above would be considered as an asset

                          +

                          +

                          +

                          About CN

                          CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                          +

                          CN requires that all employees be fully vaccinatedagainst COVID-19 and provide proof thereof as a condition of employment. TheCompany’s vaccination mandate extends to employees of our wholly ownedsubsidiaries as well as CN’s contractors, consultants, agents and suppliers andanyone who accesses CN properties in Canada.

                          +

                          CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                          +
                          ",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/8457?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2022-07-09T15:02:00.000Z,False,0,9,38,https://talenthub.vectorinstitute.ai/jobs/130418928-intern-cybersecurity-project-coordinator-at-cn,,expired,2022-06-09T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Transportation,Internship/Co-op,No Degree,New Posting, +03347865-98eb-46ac-b1ff-9d509478c581,136551197,CN,Intern Cybersecurity Project Coordinator,on_site,"Ontario, Canada",2022-07-10T07:35:04.220Z,"
                          +

                          At CN, everydaybrings new and exciting challenges. You can expect an interesting environmentwhere you’re part of making sure ourbusiness is running optimally and safely―helping keep the economy on track. We welcome students who share theirideas, perspectives and understanding of newtechnologies withour teams. In return, we provide the opportunity towork on exciting projects with experienced collaborators who are happy to share their knowledge, all within a mutually-agreed to framework. Youwill be able to thrive in our close-knit, safety-focused culture workingtogether as ONE TEAM. The opportunities we offer are meaningful because thework we do matters. Join us!

                          +

                          +

                          Canadian National Railway Company (CN) islooking for a highly motivated person to fulfill a full-time(40h/week) Intern Cybersecurity Project Coordinator position in Canada for fall 2022 (September - December).

                          +

                          +

                          Job Summary

                          +

                          The Intern, Cybersecurity Project Coordinator is responsible for executing activities that support the Chief Information Security Office’s (CISO) Delivery team with the deployment of various Cybersecurity projects. The CISO Delivery team runs the organization’s Cybersecurity Project Portfolio, a collection of projects that aim to reduce CN’s cyber risks. In addition, the CISO Delivery team is accountable for the delivery of all Cybersecurity initiatives and interfacing with various collaborators from the different pillars of the organization.

                          +

                          Major Responsibilities

                          +
                            +
                          • Assist the CISO Delivery team on key project deliverables follow-up
                          • +
                          • Assist in maintaining and monitoring project plans, schedules, work hours, budgets, and expenditures
                          • +
                          • Interface with various Resource Managers to confirm project capacity for required resources
                          • +
                          • Organize, attend, and participate in stakeholder meetings
                          • +
                          • Document and follow up on important actions and decisions from meetings
                          • +
                          • Prepare presentation materials for meetings
                          • +
                          • Ensure that project deadlines are met
                          • +
                          • Assist in activities needed to report on project progress
                          • +
                          • Assist in the creation of project plans and the identification of project milestones
                          • +
                          • Coordinate project activities by completing templates, forms, slides, task tracking documentation, and recording meeting minutes
                          • +
                          +

                          Requirements

                          +
                            +
                          • Experience in Business or Computer Science*
                          • +
                          • Experience in Cybersecurity*
                          • +
                          +

                          Education

                          +
                          • Bachelor’s Degree in Business, Project Management, Computer science or equivalent field
                          +

                          *Any experience/education/skills/knowledge for these above would be considered as an asset

                          +

                          +

                          +

                          About CN

                          CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                          +

                          CN requires that all employees be fully vaccinatedagainst COVID-19 and provide proof thereof as a condition of employment. TheCompany’s vaccination mandate extends to employees of our wholly ownedsubsidiaries as well as CN’s contractors, consultants, agents and suppliers andanyone who accesses CN properties in Canada.

                          +

                          CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                          +
                          ",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/8457?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2022-07-14T16:16:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/136551197-intern-cybersecurity-project-coordinator-at-cn,,expired,2022-07-10T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Transportation,Internship/Co-op,Bachelors Degree,New Posting, +c7b67af6-ca7e-4dde-ab5e-b2861be61a8d,130418927,CN,"Intern, Governance, Risk and Compliance",on_site,"Ontario, Canada",2022-06-09T07:35:21.290Z,"
                          +

                          At CN, everydaybrings new and exciting challenges. You can expect an interesting environmentwhere you’re part of making sure ourbusiness is running optimally and safely―helping keep the economy on track. We welcome students who share theirideas, perspectives and understanding of newtechnologies withour teams. In return, we provide the opportunity towork on exciting projects with experienced collaborators who are happy to share their knowledge, all within a mutually-agreed to framework. Youwill be able to thrive in our close-knit, safety-focused culture workingtogether as ONE TEAM. The opportunities we offer are meaningful because thework we do matters. Join us!

                          +

                          +

                          Canadian National Railway Company (CN) islooking for a highly motivated person to fulfill a full-time(40h/week) Intern, Governance, Risk and Compliance position in Canada for fall 2022 (September - December).

                          +

                          +

                          Job Summary

                          +

                          The Intern, Governance, Risk and Compliance (GRC) is responsible to execute the activities supporting the GRC framework and processes. The incumbent supports the GRC team in maintaining its security posture through governance, risk and compliance. The GRC team provides the Chief Information Security Office’s (CISO) primary leadership on maintaining, supporting, and operating the CN Information Security GRC framework, including information security classification, risk management processes, and security related policies. In addition, the GRC team communicates, oversees and supports security recommendations to meet business objectives, provides governance over control activities, and ensures adherence to regulatory and information security requirements.

                          +

                          Major Responsibilities

                          +
                            +
                          • Assist the GRC team to develop, maintain, and update security documentation such as policies, procedures, guidelines, standards, or requirements
                          • +
                          • Process various security requests and intakes assigned to the GRC team
                          • +
                          • Contribute to the documentation and follow-ups on issues related to security violations, policy and compliance exceptions, including recommendations for addressing any identifying control weaknesses
                          • +
                          • Assist in the collection and processing of Cybersecurity metrics
                          • +
                          +

                          Requirements

                          +
                            +
                          • + Follows safety procedures, information security instructions and Environmental, Social and Governance (ESG) principles to lead by example +
                          • +
                          • Inspires others with impactful communications and adapts to the audience
                          • +
                          • Applies analytical thinking to make recommendations that pursue sustainable performance
                          • +
                          • Knowledge of securing network technologies, client and server operating system and applications
                          • +
                          • Knowledge of some Operational and Information Security Risk Management frameworks
                          • +
                          • Knowledge of some industry cybersecurity frameworks
                          • +
                          • Collaborates with key internal stakeholders to enable higher productivity
                          • +
                          • Fluent in both written and verbal in English
                          • +
                          • Fluent in both written and verbal in French*
                          • +
                          +

                          Education

                          +
                          • Working towards a Bachelor’s Degree in Information Security or Cybersecurity*
                          +

                          *Any experience/education/skills/knowledge for these above would be considered as an asset

                          +

                          +

                          +

                          About CN

                          CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                          +

                          CN requires that all employees be fully vaccinatedagainst COVID-19 and provide proof thereof as a condition of employment. TheCompany’s vaccination mandate extends to employees of our wholly ownedsubsidiaries as well as CN’s contractors, consultants, agents and suppliers andanyone who accesses CN properties in Canada.

                          +

                          CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                          +
                          ",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/8286?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2022-07-09T15:02:00.000Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/130418927-intern-governance-risk-and-compliance-at-cn,,expired,2022-06-09T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Transportation,Internship/Co-op,No Degree,New Posting, +a3c484ff-df80-42e4-a605-0fece9bd268f,164063744,Thomson Reuters,Development Manager - Applied AI,on_site,"Toronto, ON, Canada",2022-11-07T17:19:03.235Z,"
                          +

                          Development Manager – Applied AI

                          +

                          +

                          As an employee at Thomson Reuters, you will play a role in shaping and leading the global knowledge economy. Our technology drives global markets and helps professionals around the world make decisions that matter. Whether solving for today’s challenges or tomorrow’s aspirations, you will work with the industry’s brightest thinkers on diverse projects, creating next-generation solutions that deliver powerful results. As the world’s leading provider of intelligent information, we want your unique perspective to create the solutions that advance our business—and your career.

                          +

                          +

                          Are you intrigued by the opportunity to drive the next generation of Legal innovation? If so, we are looking for a Development Manager who will be working on all aspects of software solutions being developed by the Legal Tech Innovation team. The successful candidate will collaborate with team members, other TR development teams, and TR Labs within a dynamic and innovative rapid development environment using the latest Cloud PaaS technologies. The successful applicant will be working with agile teams and stakeholders located locally and in remote locations.

                          +

                          +

                          About the Role

                          +

                          In this opportunity as Development Manager you will:

                          +
                            +
                          • +Be a People Leader: Enthusiastically manage and motivate a team of software engineers located on-site and remote with varied skills and experience levels. Coach and mentor current and future leaders within the team; be responsible to proactively identify individual training needs, conduct performance evaluations, and maintain a healthy team culture.
                          • +
                          • +Be a Project Leader: Strategically plan, design, and implement software to deliver value to customers. Manage multiple projects simultaneously, gathering time and resource estimates. Drive improvements in productivity.
                          • +
                          • +Be a Technical Leader: Implement best practices as a knowledge expert in SDLC, object-oriented software design, customer analytics, testing and release, and working in an agile framework. Advocate for quality, performance, scale and agility within the team and with stakeholders. Ensure design and architecture are aligned with the global platform strategy and consider industry trends. Ensure fundamental quality practices are integrated in development lifecycle, such as automated unit tests and integration tests.
                          • +
                          • +Be an efficient Stakeholder Manager: Collaborate and engage with external and internal stakeholders such as business teams and product owners to bring products to market. Act as point of contact in resolving stakeholder issues.
                          • +
                          • +Be Customer Driven: Deliver high-quality reliable solutions that make S2S APIs easy for our customers to integrate with while continuing to serve their needs.
                          • +
                          • +Be a Decision Maker: Utilize problem solving and analytical skills to make quick and effective data driven decisions and roll out strategies that align with company goals.
                          • +
                          +

                          +

                          About You

                          +

                          You’re a fit for the role of Development Manager Technology if you:

                          +
                            +
                          • Possess hands-on experience and deep knowledge in software development and agile development processes.
                          • +
                          • Possess a bachelor\'s degree (or equivalent) in Computer Science, Software Engineering or a related technical field.
                          • +
                          • Have expertise in driving technology strategy and execution, while establishing strategic partnerships and delivering against product requirements.
                          • +
                          • Effectively prioritize work in close alignment with business and IT stakeholders.
                          • +
                          • Possess effective written and oral communication skills with relevant experience leading and influencing others, demonstrating an ability to collaborate effectively with internal and external partners.
                          • +
                          • Deeply understand agile principles and have a proven track record of on-time project delivery following agile development methods and applying best practices.
                          • +
                          • Have experience working in a high-pressure, fast-paced environment with demonstrated multi-tasking skills.
                          • +
                          • Possess the ability to solve problems in large, complex software systems while maintaining a laser focus on system performance and scalability.
                          • +
                          • Have experience and knowledge of JAVA, Python, and AI/ML principles is an asset.
                          • +
                          • Have experience leading cloud based software solutions, preferably AWS.
                          • +
                          • Knowledge of JIRA/ADO, GIT, and Jenkins a plus.
                          • +
                          +

                          +

                          What’s in it For You

                          +

                          At Thomson Reuters, our people are our greatest assets. Here are some of the benefits we offer for your personal and professional growth:

                          +

                          Learning & Development:

                          +
                          • Exposure to a wide breadth of leading-edge technology
                          +
                            +
                          • Career growth - ability to work on multiple projects and/or with various teams
                          • +
                          • Professional growth and development opportunity through various training programs, conferences, networking events, in-house speaker series etc.
                          • +
                          +
                          • Access to Hackathons, Unconferences, Harvard Manage Mentor and more; we offer learning opportunities for everyone
                          +

                          COVID-19 Response:

                          +
                          • Currently working remotely and following local COVID-19 bylaws and guidelines with most of our offices being remote until July 2021. Upon return, we will be embracing a hybrid work environment consisting of in-office and remote work
                          +

                          Culture:

                          +
                          • Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more
                          +

                          Wellbeing:

                          +
                          • Comprehensive benefit plans; company-wide Mental Health Day Off; Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing
                          +

                          Learning & Development:

                          +
                          • LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking, professional growth through various training programs and access to Hackathons
                          +

                          Social Impact:

                          +
                          • Eight employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact
                          +

                          Benefits/Perks:

                          +
                          • Health benefits, Savings/investment plans and Paid time off (including time off to volunteer and extended parental leave)
                          +

                          Global Opportunities:

                          +
                          • We have employees in over 90 countries, working across 3 different industries
                          +

                          +

                          As a global business we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under country or local law. We are proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.

                          +

                          +

                          #LI-ROBERTTURNERPHR

                          +

                          +


                          Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                          +

                          +

                          We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                          +

                          +

                          Accessibility

                          +

                          +

                          As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                          +

                          +

                          We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                          +

                          +

                          +

                          Protect yourself from fraudulent job postings click here to know more.

                          +

                          +

                          More information about Thomson Reuters can be found on https://thomsonreuters.com.

                          +
                          ",,https://thomsonreuters.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/CAN-TORONTO-333-Bay-Street/Development-Manager---Applied-AI_JREQ163138?SourceID-APPLICANT_SOURCE-3-713,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2022-11-15T17:24:02.537Z,False,0,4,26,https://talenthub.vectorinstitute.ai/jobs/164063744-development-manager-applied-ai-at-thomson-reuters,,expired,2022-11-07T17:19:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Masters Degree,New Posting, +b222fd38-757e-42d4-8a4f-4f5a356663ae,156496990,KPMG,Senior Consultant - Data Analyst,on_site,"Toronto, Canada",2022-10-13T17:20:05.798Z,"Overview

                          At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

                          Our Governance, Risk and Compliance Services (GRCS) team is growing and we are looking for a Senior Consultant – Data Analyst to join our team in Toronto.

                            +
                          • Learn more about Risk Consulting here
                          • +
                          • Learn more about our Toronto office here
                          • +

                          What you will do

                          As a Senior Consultant, you’ll be learning from some of the best in the industry and growing your personal skillset by:

                            +
                          • Work closely with clients and partners in understanding key business issues on digital opportunities
                          • +
                          • Gather and analyze requirements to develop impactful recommendations and solutions
                          • +
                          • +Utilize advanced analytical techniques to solve challenging business problems to identify areas of risk, opportunities and recommend solutions for our clients. Leverage a diverse set of technologies and tools to deliver insights +
                          • +
                          • Work in multi-disciplinary and cross-functional teams to develop a strong experience in analytics, statistics, machine learning, data mining, data management, data governance, reporting, visualization and/or intelligent automation
                          • +
                          • Work in a fast-paced and dynamic environment with both virtual and face-to-face interactions; utilize structured approaches to solving problems, managing risks, and documenting assumptions; communicate results and educate others through insightful visualizations, reports, and presentations
                          • +
                          • Work with large volumes of data (structured and unstructured)
                          • +
                          • Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions
                          • +
                          • Bridge the gap between technical platform needs and business issues
                          • +
                          • Effectively communicate orally and written with peers within GRCS, KPMG and the client
                          • +

                          What you bring to the role

                          You have strong work experience and academic record and excel in an entrepreneurial environment. You’re highly motivated and passionate professional who strives for excellence, innovation and collaboration, and has the ability to achieve personal and professional success while juggling competing priorities and deadlines.

                            +
                          • Strong experience of 3-5 years, working with different kinds of messy, real-world data from a variety of databases
                          • +
                          • You’re a highly motivated and passionate professional who strives for excellence, innovation and collaboration, and can achieve personal and professional success while juggling competing priorities and deadlines
                          • +
                          • Independent ability to review the data quality and data definitions and perform data cleansing and data management tasks
                          • +
                          • Strong knowledge and/or experience in the following: SQL, BI tools (like Tableau and PowerBI), Python, R, ETL, Alteryx and RPA tools (like Blue Prism, Automation Anywhere and UIPath)
                          • +
                          • Experience working in a multi-disciplinary team to tackle ambiguous data processing problems across a diverse range of industries
                          • +
                          • Experience in data governance, data quality, data processing, and data controls
                          • +
                          • Client-facing or consulting experience
                          • +
                          • Experience communicating insights or ideas through presentations and meetings
                          • +
                          • Certificate or degree in Computing or IT, with a focus on Business Systems Analysis, Business Intelligence, Data Analysis and Reporting, or similar, is an asset
                          • +
                          • Ability to explain data and analytics concepts to non-technical team members.
                          • +
                          • Ability to apply data and analytics concepts to business problems.
                          • +
                          • Ability to understand and explain business value of data and analytics concepts
                          • +
                          • Strong relationship-building skills to interact with clients, colleagues, and the wider community.
                          • +
                          • Ability to provide crucial consultation, analysis, and recommendations on a broad range of projects in a deadline drive environment with ambiguity.
                          • +
                          • Effectively work as part of a project team, and communicate findings of analysis, key implications, and recommendations in written and verbal formats.
                          • +
                          • Nice to have: Experience in data governance with tools such as Collibra and Informatica
                          • +

                          Keys to your success:

                          KPMG individuals Deliver Impact | Seek Growth | Inspire Trust and understand that a diverse workforce enables us to deepen relationships and strengthen our business.

                          Providing you with the support you need to be at your best



                          For more information about KPMG in Canada’s Benefits and well-being, click here.


                          Our Values, The KPMG Way

                          Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                          KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                          For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

                          If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact us at cafmcdnhrsthotline@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778.

                          ",,https://careers.kpmg.ca/professionals/jobs/17195?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2022-11-16T13:39:57.587Z,False,0,2,20,https://talenthub.vectorinstitute.ai/jobs/156496990-senior-consultant-data-analyst-at-kpmg,https://careers.kpmg.ca/professionals/jobs/17195?lang=en-us,expired,2022-10-13T17:20:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Masters Degree,New Posting, +fcc110e4-e21e-4448-9ad3-1b0c2c681c28,116302464,Bell Canada,"Data Analyst, Business Intelligence",on_site,"Mississauga, Ontario",2022-03-23T14:18:05.632Z,"

                          Req Id: 347233

                          +

                          +

                          At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

                          +

                          +

                          If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team.

                          +

                          Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.

                          +

                          +

                          The Customer Operations Data Science group provides critical insights using analytics, ensures cross-functional alignment of goals and execution, and helps internal clients drive strategic partnerships and new initiatives forward.

                          +


                          The Customer Operations Data Science team provides insightful perspective and direction on operational strategy and performance of Bell’s award winning Customer Experience business unit. The team focuses on cutting-edge end-to-end business intelligence solutions that support information creation and delivery within business lines and to senior executive across Bell’s business units.

                          +

                          +

                          Team members are experts in business strategy and operations, analytical and strategic, yet highly pragmatic and results-oriented. As an Analyst in Customer Operations Data Science, you will work on projects that take on some of the most cutting-edge business solutions in the Telecommunications industry. Reporting to the Senior Manager - Advanced Analytics, your knowledge of strategy and operations combined with your communication skills and analytical rigour will shape the way that we do business.

                          Job Duties and Accountabilities:

                          +
                            +
                          • You must care! Care about your work. Care about your clients. Care about your colleagues.
                          • +
                          • Passion and enthusiasm for analyzing large datasets and making actionable decisions.
                          • +
                          • Ability to break down the most complex problems into smaller actionable pieces.
                          • +
                          • Ability to work with and make appropriate decisions with incomplete datasets.
                          • +
                          • Help the business “connect the dots” and understand “the big picture” – and to never loose sight of this.
                          • +
                          • Interest in using data and technologies to help solve business problems.
                          • +
                          +

                          +

                          Critical Qualifications/Competencies:

                          +
                            +
                          • An undergraduate degree in business/commerce, engineering, mathematics or other quantitative fields. Nevertheless, if you have an English degree and are interested, then please apply.
                          • +
                          • 2-4 years of SQL experience using enterprise production level data.
                          • +
                          • Experience with SQL (Teradata), SAS and visualization software (MicroStrategy/Tableau).
                          • +
                          • Experience in telecommunications, retail or consulting industries.
                          • +
                          • Experience creating BI reports/dashboards and conducting deep-dive data analysis.
                          • +
                          • Effective process/project management skills and the ability to navigate and influence stakeholders.
                          • +
                          • Excellent communication skills with the ability to comfortably interact with partners and executive management.
                          • +
                          • +Experience with business and marketing analysis.
                          • +
                          +

                          #EmployeeReferralProgram #ProgrammeRecommandationEmployes

                          +

                          #Indeed #Technology #Tech #Bi #BusinessIntelligence #SQL #SAS #Telecommunications #MarketAnalysis #Microstrategy #Tableau #Teradata

                          +

                          +

                          Bilingualism is an asset (English and French); adequate knowledge of French is required for positions in Quebec.

                          +

                          +

                          Additional Information:

                          +

                          Position Type: Management
                          Job Status: Regular - Full Time
                          Job Location: Canada : Ontario : Mississauga || Canada : Ontario : Don Mills

                          +

                          Flexible work profile: Mobile
                          Application Deadline: 04/04/2022

                          +

                          +

                          Please apply directly online to be considered for this role. Applications through email will not be accepted.

                          +

                          +

                          At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                          +

                          +

                          Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                          +

                          +

                          Created: Canada, ON, Toronto

                          +

                          +

                          Bell, one of Canada's Top 100 Employers.

                          ",,https://jobs.bell.ca/ca/en/job/BECACA347233EXTERNALENCA/Data-Analyst-Business-Intelligence?utm_source=VectorInstitute&utm_medium=phenom-feeds,info@bell.ca,,,,2022-04-05T14:23:00.000Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/116302464-data-analyst-business-intelligence-at-bell-canada,BECACA347233EXTERNALENCA,expired,2022-03-23T14:18:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, +d6572f76-7d11-4af0-9254-5d3bb98ab26d,111749146,Bell Canada,Technical Product Manager,on_site,"Toronto, Ontario",2022-03-02T14:18:04.923Z,"

                          Req Id: 353019

                          +

                          +

                          At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

                          +

                          +

                          If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team.

                          +

                          Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.

                          +

                          +

                          The Bell Speech Technologies team is an industry leader with deep expertise in automatic speech recognition and speech analytics. You will be working with an excellent team of peers to build products and services that deliver on the promise of AI by solving complex, high-value business problems. You will work in a highly collaborative environment, and use Agile methodologies to understand, develop, and iterate on solutions that meet customer needs. Access to innovative speech to text and natural language tools, all within a cloud environment.

                          +

                          As a Technical Product Manager in Customer Operations Data Science, you will work on projects that take on some of the most cutting-edge business solutions in the Telecommunications industry. Reporting to the Senior Manager - Advanced Analytics, your knowledge of strategy and operations combined with your communication skills and passion for innovation will shape the way that we do business.

                          +

                          Job Duties/ Accountabilities:

                          +
                            +
                          • Full lifecycle support of products including ideation, coordination, business adoption, performance monitoring and iteration
                          • +
                          • Leading use case discovery with business partners and coordinating into a concise roadmap to be executed on with business and technical teams
                          • +
                          • Influencing partner teams on the right direction to take and working closely with partners to ensure proper prioritization of activities as they relate back to business objectives
                          • +
                          • Preparation & facilitation of internal and executive presentations related to project scope timeline, activities, roadblocks, results and value-add
                          • +
                          • +Contribute to a growing Agile team and being part of a program that emphasizes team building, collaboration and continuous improvement
                          • +
                          +

                          Critical Qualifications/ Competencies:

                          +
                            +
                          • Experience in a product ownership/management role or similar field
                          • +
                          • Self-motivated, action-oriented and demonstrated ability to deliver results
                          • +
                          • Strong attention to detail and execution skills, with an ability to take initiative and get the job done
                          • +
                          • Ability to develop compelling go-to-market strategies across multiple channels, and measure your impact
                          • +
                          • Excellent communication skills; clear and concise verbal and written communication style, able to effectively communicate, influence and present at all levels
                          • +
                          • Team oriented and possessing excellent leadership skills
                          • +
                          • A natural curiosity for technology, machine learning and artificial intelligence
                          • +
                          • Capability to process, analyze and gain insights from data
                          • +
                          • +Experience in an Agile/Scrum environment, comfortable utilizing Jira and Confluence considered an asset
                            #LIST!

                            #Talent
                          • +
                          +

                          +

                          Bilingualism is an asset (English and French); adequate knowledge of French is required for positions in Quebec.

                          +

                          +

                          Additional Information:

                          +

                          Position Type: Management
                          Job Status: Regular - Full Time
                          Job Location: Canada : Ontario : Mississauga || Canada : Ontario : Toronto

                          +

                          Flexible work profile: Mobile
                          Application Deadline: 03/15/2022

                          +

                          +

                          Please apply directly online to be considered for this role. Applications through email will not be accepted.

                          +

                          +

                          At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                          +

                          +

                          Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                          +

                          +

                          Created: Canada, ON, Mississauga

                          +

                          +

                          Bell, one of Canada's Top 100 Employers.

                          ",,https://jobs.bell.ca/ca/en/job/BECACA353019EXTERNALENCA/Technical-Product-Manager?utm_source=VectorInstitute&utm_medium=phenom-feeds,info@bell.ca,,,,2022-03-16T14:23:00.000Z,False,0,2,8,https://talenthub.vectorinstitute.ai/jobs/111749146-technical-product-manager-at-bell-canada,BECACA353019EXTERNALENCA,expired,2022-03-02T14:18:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Manager,Bachelors Degree,New Posting, +0c9b3a72-8cb6-4c24-9935-2c042749c9ca,106178143,Bell Canada,"Developer, Data Engineering",on_site,"Ontario, Canada",2022-01-28T21:15:00.896Z,"

                          Developer, Data Engineering

                          +

                          Req Id: 338130

                          +

                          +

                          At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we’re revolutionizing how Canadians communicate.

                          +

                          If you’re ready to bring game-changing ideas to life and join a community that values bold ideas, professional growth and employee wellness, we want you on the Bell team.

                          +

                          Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.

                          +

                          +

                          We are looking for an ETL Developer to provide production support, troubleshoot, and resolve reported functionality and performance defects within Bell BI production environment. You will lead the incident management and operational support activities within the team and build automated processes that will improve the BI environment performance. As part of Bell’s Business Intelligence Data Engineering organization, you will have the opportunity to work with best in class technology platforms, partner with industry-leading vendors and lead motivated professionals towards the common goal of an optimal enterprise data ecosystem.

                          +

                          +

                          Job Duties/ Accountabilities:

                          +
                            +
                          • Support and troubleshoot technical problems within the BI environment
                          • +
                          • Support production processes within BI teams
                          • +
                          • Support outages, delays & major deployments within the BI environment
                          • +
                          • Evaluate the performance of existing processes and optimize whenever required
                          • +
                          • Create new processes to improve the performance of the BI environment
                          • +
                          • Share technical expertise with team and provide recommendations for best practices
                          • +
                          • Enforce standards and discipline in the documentation and structured development
                          • +
                          • Explore large, new sources of data; communicate and present insight opportunities to business teams across the organization to influence decision making
                          • +
                          +

                          +

                          Critical Skills/ Competencies:

                          +
                            +
                          • University Degree in Software/Computer Engineering, Computer Science
                          • +
                          • 3+ years of Telecom industry experience working with complex ETLs and relational databases
                          • +
                          • 3+ years of hands-on experience with
                              +
                            • Technologies such as Teradata and SAS products (with emphasis on Enterprise Guide and Data Integration Studio)
                            • +
                            • Scripting on Unix/Linux and Windows OS platforms
                            • +
                            • Developing and optimizing SQL on Teradata
                            • +
                            • OLAP or data visualization technologies such as Tableau or Microstrategy
                            • +
                            +
                          • +
                          • Ability to create, evaluate and implement ETL support controls such as self-healing processes, triggers, control tables, alerts, etc.
                          • +
                          • Excellent interpersonal and communication skills (verbal and written), and detail-oriented
                          • +
                          • Able to prioritize, multitask, and execute tasks in a high-pressure environment
                          • +
                          • Collaborative spirit to share learnings and knowledge with peers
                          • +
                          +

                          +

                          Preferred Qualification:

                          +
                            +
                          • Experience with IBM LSF
                          • +
                          • Experience with Big Data and unstructured data technologies including HDFS, Spark, Map Reduce, Hive, Impala, Cloudera, NoSQL, Oozie, Sqoop
                          • +
                          • Experience with ML/AI technologies
                          • +
                          +

                          +

                          +

                          #Indeed

                          +

                          #Tech

                          +

                          +

                          Bilingualism is an asset (English and French); adequate knowledge of French is required for positions in Quebec.

                          +

                          +

                          Additional Information:

                          +

                          Position Type: Management
                          Job Status: Regular - Full Time
                          Job Location: Canada : Ontario : Toronto || Canada : Ontario : Don Mills || Canada : Quebec : Montreal
                          Application Deadline: 02/28/2022

                          +

                          +

                          Please apply directly online to be considered for this role. Applications through email will not be accepted.

                          +

                          +

                          At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                          +

                          +

                          Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                          +

                          +

                          Created: Canada, QC, Montreal

                          +

                          *LI-SP1

                          ",,https://jobs.bce.ca/bell/job/Montreal-Developer%2C-Data-Engineering-QC/807594200/,aimasters@vectorinstitute.ai,,,,2022-02-27T21:15:00.000Z,False,0,3,38,https://talenthub.vectorinstitute.ai/jobs/106178143-developer-data-engineering-at-bell-canada,,expired,2022-01-28T21:15:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, +91f1bfcd-4d13-4842-b096-4422261c794b,106177913,Bell Canada,"Analyst, Business Intelligence",on_site,"Ontario, Canada",2022-01-28T21:12:35.520Z,"

                          Analyst, Business Intelligence

                          +

                          Req Id: 334191

                          +

                          +

                          At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we’re revolutionizing how Canadians communicate.

                          +

                          If you’re ready to bring game-changing ideas to life and join a community that values bold ideas, professional growth and employee wellness, we want you on the Bell team.

                          +

                          Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.

                          +

                          +

                          Bell’s Business Intelligence (BI) Group is responsible for the management and optimization of BI data, systems, and analytics used to create marketing contact strategies, analyze customer behaviour, automate business insight processes and provide insight to drive business decisions.

                          +

                          +

                          The Next Best Action Management team is building, maintaining and optimizing business logic that drives what actions are to be presented in different customer touch points. As Bell rolls out its use of next best action tools across multiple channels, you will use your analytical skills to build the right set of business rules to deliver the best action, at the right time, for each individual customer situation.

                          +

                          +

                          This is an excellent opportunity for the right person to join our team and play a key role transforming the organization. If you enjoy working with the latest analytics tools and technologies to apply various analysis techniques then this may be the right job for you!

                          +

                          +

                          Our people are making big things happen across the country, nourished constantly by growth, training and personal development opportunities. Our passionate, dedicated leaders encourage and empower people to grow and succeed.

                          +

                          +

                          Job Duties/Accountabilities :

                          +

                          +
                            +
                          • This is an Agile development environment, working with the latest BI visualization tools and technologies
                          • +
                          • Working with a team of BI analysts whilst helping to maintain and build new reporting analytical capabilities
                          • +
                          • Analysis, delivery of business requests/issues/requirements, and conducting quality assurance testing for all BI deliverables supporting Sales & Marketing business functions
                          • +
                          • Excellent leadership and communication skills required to work well with business users, other analysis teams, development teams, and IT teams
                          • +
                          • Deliver on key projects and data strategies that directly support key business drivers
                          • +
                          • Work with and opportunity to present to various management levels
                          • +
                          • Maintain and expand your knowledge of BI and current technology through training opportunities
                          • +
                          +

                          +

                          Critical Skills/Competencies:

                          +

                          +
                            +
                          • You have a Bachelors degree, or Masters with minimal work experience, in a discipline such as:
                              +
                            • Business analytics / business intelligence
                            • +
                            • applied math,
                            • +
                            • computer science,
                            • +
                            • applied science / engineering,
                            • +
                            • economics/econometrics,
                            • +
                            • Commerce
                            • +
                            • management science / operations research
                            • +
                            • or related area
                            • +
                            +
                          • +
                          • You have knowledge of, and experience with, SQL, SAS, and data visualization tools
                          • +
                          • You are highly analytical and understand the basic principles of working with large and complex data sets
                          • +
                          • You have the ability to leverage insights and opportunities from data and metrics to build strategies and make recommendations
                          • +
                          • You have the ability to work with a team towards common goals
                          • +
                          • You are able to manage multiple projects and priorities.
                          • +
                          • You are a self starter who is comfortable working with and presenting to all management levels (CP2 to EVP)
                          • +
                          +

                          +

                          Preferred Competencies:

                          +

                          +
                            +
                          • Experience with data systems such as Oracle, SQL Server, Teradata, SAS, MicroStrategy or others
                          • +
                          • Experience with BI and data warehouse technologies
                          • +
                          • Basic working knowledge of project management steps
                          • +
                          • Experience in Telecommunications
                          • +
                          +

                          +

                          #Indeed

                          +

                          #Tech

                          +

                          +

                          Bilingualism is an asset (English and French); adequate knowledge of French is required for positions in Quebec.

                          +

                          +

                          Additional Information:

                          +

                          Position Type: Management
                          Job Status: Regular - Full Time
                          Job Location: Canada : Ontario : Don Mills || Canada : Ontario : Toronto
                          Application Deadline: 01/31/2022

                          +

                          +

                          Please apply directly online to be considered for this role. Applications through email will not be accepted.

                          +

                          +

                          At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                          +

                          +

                          Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                          +

                          +

                          Created: Canada, ON, Toronto

                          ",,https://jobs.bce.ca/bell/job/Toronto-Analyst%2C-Business-Intelligence-ON/804557000/,aimasters@vectorinstitute.ai,,,,2022-02-03T17:30:00.000Z,False,0,2,16,https://talenthub.vectorinstitute.ai/jobs/106177913-analyst-business-intelligence-at-bell-canada,,expired,2022-01-28T21:12:00.000Z,admin,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, +f21a8010-685d-4837-8afa-ac63a62b6b60,111991873,Bell Canada,"Developer, Data Engineering",on_site,"Toronto, Ontario",2022-03-03T14:18:10.852Z,"

                          Req Id: 353918

                          +

                          +

                          At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we’re revolutionizing how Canadians communicate.

                          +

                          +

                          If you’re ready to bring game-changing ideas to life and join a community that values bold ideas, professional growth and employee wellness, we want you on the Bell team.

                          +

                          +

                          About the Role:

                          +

                          +

                          Bell is currently seeking an experienced database designer/ETL programmer to build enterprise level database solutions to support advanced analytics, reporting and marketing for customer operations. You will help guide the evolution of a business intelligence data warehouse and enable the agile development of our engine for Next Best Action operations. You will have the opportunity to work with a wide array of data including billing, network performance and customer profile data to drive key business decisions and officially reported company metrics. The work is project based and you will be required to work closely with project managers and business stakeholders to ensure target completion dates are met. The role requires you to work with the business to understand high level requirements and then design a solution using a combination of ETL tools including SAS and SQL to generate the desired results to enable visualization and analytics. You will have the opportunity to work closely with other technologies including big data, data virtualization and Microstrategy.

                          +

                          This is a great opportunity to get exposure to huge and diverse data sets and use your experience to help drive best in class products and customer service.

                          +

                          +

                          Job Duties/ Accountabilities:

                          +

                          +
                            +
                          • Significant experience using ETL tools such as SAS Data Management or Informatica to transform large data sets across different DBMS platforms.
                          • +
                          • Expert level SQL skills to aggregate, filter and analyze large data sets on a variety of DBMS.
                          • +
                          • Able to debug code written by other people; including understanding the business logic implemented and ensuring the code is optimized.
                          • +
                          • Experience using SAS products such as Enterprise Guide and Data Integration studio.
                          • +
                          • Ability to work closely with business stakeholders to translate ambiguous requirements into efficient code to deliver expected results.
                          • +
                          • Experience reading and understanding business documents (SRS, BRD).
                          • +
                          • Able to prioritize, multitask and execute tasks in a high pressure environment.
                          • +
                          • Strong verbal and written communication skills is required.
                          • +
                          • +
                          +

                          Critical Skills/ Competencies:

                          +

                          +
                            +
                          • 5+ years ETL experience.
                          • +
                          • 5+ years SQL experience.
                          • +
                          • 2+ years developing and optimizing queries on Teradata.
                          • +
                          • 2+ years using SAS products with emphasis on Enterprise Guide and Data Integration Studio.
                          • +
                          • Experience working with telecom data.
                          • +
                          • Familiarity with reporting tools such as Tableau or Microstrateg.
                          • +
                          • Familiarity with big data technologies such as Hadoop.
                          • +
                          • Experience with Unix/Linux and Windows operating systems, especially in scripting on these platforms.
                          • +
                          • Bilingualism is an asset (English and French)
                          • +
                          +

                          +

                          #Tech

                          +

                          #Indeed

                          +

                          +

                          Bilingualism is an asset (English and French); adequate knowledge of French is required for positions in Quebec.

                          +

                          +

                          Additional Information:

                          +

                          Position Type: Management
                          Job Status: Regular - Full Time
                          Job Location: Canada : Ontario : Toronto
                          Flexible work profile : Mobile
                          Application Deadline: 03/23/2022

                          +

                          +

                          Please apply directly online to be considered for this role. Applications through email will not be accepted.

                          +

                          +

                          At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                          +

                          +

                          Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                          +

                          +

                          Created: Canada, ON, Toronto

                          +

                          +

                          Bell, one of Canada's Top 100 Employers.

                          ",,https://jobs.bell.ca/ca/en/job/BECACA353918EXTERNALENCA/Developer-Data-Engineering?utm_source=VectorInstitute&utm_medium=phenom-feeds,info@bell.ca,,,,2022-03-08T14:23:00.000Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/111991873-developer-data-engineering-at-bell-canada,BECACA353918EXTERNALENCA,expired,2022-03-03T14:18:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, c4d4d089-dfab-455b-98ec-27f6ab713dfe,106177774,Bell Canada,"Product Manager, Personalization",on_site,"Ontario, Canada",2022-01-28T21:10:13.526Z,"

                          Product Manager, Personalization

                          Req Id: 339612

                          @@ -285491,95 +294885,6 @@ da411dcb-adb7-4f97-bcc1-804e50be79d4,203170515,RBC,"Sr Manager, Business Operati

                          Join our Talent Community

                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                          ",,https://jobs.rbc.com/ca/en/job/R-0000048210/Sr-Manager-Business-Operations-BI-Analytics-Developer,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-03-16T17:21:02.213Z,False,0,2,3,https://talenthub.vectorinstitute.ai/jobs/203170515-sr-manager-business-operations-bi-analytics-developer-at-rbc,,expired,2023-03-09T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -f093e5b0-79c5-4faa-8a7b-51b3887d85b9,204322633,BMO Financial Group,"Senior Analyst, Risk Reporting",on_site,"Ontario, Canada",2023-03-13T17:12:03.033Z,"
                          -

                          Address:

                          100 King Street West

                          -

                          -

                          Job Family Group:

                          Data Analytics & Reporting

                          -

                          -

                          -

                          -

                          Reporting to the Senior Manager, Structured Market Risk Reporting, this Senior Analyst, Risk Reporting role provides value-added risk measurement methodologies and systems to support Corporate Treasury in the management of structural market risk within the Bank. This role will be engaged in maintaining risk models on a regular basis in order to provide up-to-date and accurate reports on risk measures.

                          -

                          -

                          -

                          Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes.

                          -

                          Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                          -

                          -

                          Builds effective relationships with internal/external stakeholders.
                          Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                          Designs, develops, and implements innovative analytical solutions.
                          Designs and produces regular and ad-hoc reports, and dashboards.
                          Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                          Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                          Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                          Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                          Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g., visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                          Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                          Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                          Analyzes data and information to provide subject-matter insights and recommendations.
                          Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                          Documents and maintain operational procedures and processes relating to analytical and reporting processes.

                          Collaborates with internal and external stakeholders in order to deliver on business objectives.
                          Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                          Exercises judgment to identify, diagnose, and solve problems within given rules.
                          Works independently on a range of complex tasks, which may include unique situations.
                          Broader work or accountabilities may be assigned as needed.

                          -

                          -


                          Qualifications:

                          Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                          CPA, MBA (Finance), BA (Economics, Commerce), BSc (Math), CFA, or equivalent.
                          Knowledgeable in Bank products and financial instruments In-depth.
                          Risk Management In-depth.

                          -

                          Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Power BI, Spotfire, Tableau, SQL, SAS, R, Python, Matlab, SPSS highly desirable.

                          -

                          Technical proficiency gained through education and/or business experience.
                          Verbal & written communication skills - In-depth.
                          Collaboration & team skills - In-depth.
                          Analytical and problem solving skills - In-depth.
                          Influence skills - In-depth.
                          Data driven decision making - In-depth.

                          -

                          -

                          -

                          We’re here to help

                          -

                          -

                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                          -

                          -

                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                          -

                          -

                          To find out more visit us at https://jobs.bmo.com/ca/en.

                          -

                          -

                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                          -

                          -

                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                          -
                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Analyst--Risk-Reporting_R230000402?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-03-16T17:17:02.354Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/204322633-senior-analyst-risk-reporting-at-bmo-financial-group,,expired,2023-03-13T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -da411dcb-adb7-4f97-bcc1-804e50be79d4,203170515,RBC,"Sr Manager, Business Operations BI & Analytics Developer",on_site,"Toronto, ON, Canada",2023-03-09T17:16:01.787Z,"
                          -

                          Come Work with Us!

                          At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                          Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                          -

                          Job Title

                          Sr Manager, Business Operations BI & Analytics Developer

                          -

                          -

                          Job Description

                          -

                          WHAT IS THE OPPORTUNITY?

                          -

                          -

                          RBC Data and Analytics Business Operation team is hiring a Sr. Manager, BI & Analytics Developer. In this role you will be responsible for creating and automating various Business Operations reporting initiatives. This position plays a key role in providing timely and accurate business operations information to our partners and management to assist in strategic decision making.

                          -

                          -

                          WHAT WILL YOU DO?

                          -
                            -
                          • Source data from various platforms and build automated data pipelines using SQL, Python, and other data tools.

                          • -
                          • Analyze business & operational processes and identify reporting requirements

                          • -
                          • Design and develop innovative reporting solutions to support leaders in managing their business

                          • -
                          • Apply standard design principles and advanced data visualization techniques to provide actionable insights

                          • -
                          • Manage the implementation of multiple concurrent initiatives of varying complexity in a time efficient manner.

                          • -
                          -

                          -

                          WHAT DO YOU NEED TO SUCCEED?

                          -

                          -

                          Must have:

                          -
                            -
                          • Proficient in developing dashboards and reports using Tableau or an equivalent reporting tool

                          • -
                          • Experienced in performing complex data analysis on large volumes of data

                          • -
                          • Experienced with Python or other automation technologies

                          • -
                          • Proven innovating mindset with quantitative analytical and problem-solving skills

                          • -
                          • Deadline-driven and results-oriented; able to meet consistently high quality standards while handling a variety of tasks and deadlines simultaneously

                          • -
                          -

                          Nice-to-have:

                          -
                            -
                          • University degree

                          • -
                          • Accounting and/or Finance Experience

                          • -
                          • Experience with cloud technologies

                          • -
                          • Experience with large data platforms

                          • -
                          -

                          -

                          What’s in it for you?

                          -

                          We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                          -
                            -
                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

                          • -
                          • Leaders who support your development through coaching and managing opportunities

                          • -
                          • Ability to make a difference and lasting impact

                          • -
                          • Work in a dynamic, collaborative, progressive, and high-performing team

                          • -
                          • A world-class training program in financial services

                          • -
                          • Flexible work/life balance options

                          • -
                          • Opportunities to do challenging work

                          • -
                          -

                          -

                          -

                          Job Summary

                          -

                          Address:

                          TORONTO, Ontario, Canada

                          City:

                          CAN-ON-TORONTO

                          Country:

                          Canada

                          Work hours/week:

                          37.5

                          Employment Type:

                          Full time

                          Platform:

                          Technology and Operations

                          Job Type:

                          Regular

                          Pay Type:

                          Salaried

                          Posted Date:

                          2023-02-09-08:00

                          Application Deadline:

                          -
                          -

                          Inclusion and Equal Opportunity Employment

                          -

                          At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                          ​​​​​​​
                          We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                          -
                          -

                          Join our Talent Community

                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                          -
                          ",,https://jobs.rbc.com/ca/en/job/R-0000048210/Sr-Manager-Business-Operations-BI-Analytics-Developer,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-03-16T17:21:02.213Z,False,0,2,3,https://talenthub.vectorinstitute.ai/jobs/203170515-sr-manager-business-operations-bi-analytics-developer-at-rbc,,expired,2023-03-09T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, d057040b-d9fe-4aa4-9e8b-3e2b57eefe15,170604630,RBC,Sr. Manager Product Analytics,on_site,"Toronto, ON, Canada",2022-11-24T17:16:01.763Z,"

                          Come Work with Us!

                          At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                          Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                          Job Title

                          Sr. Manager Product Analytics

                          @@ -285753,732 +295058,6 @@ d0f583ef-324f-4d87-9254-d7596b0095f0,164063893,TD Bank Group,Data Engineer Inter


                          • 5+ years of experience in building and delivering scalable, enterprise-level software solutions
                          • 5+ years of software development and infrastructure experience, using a variety of object-oriented programming languages (e.g. Scala, Java, Python)
                          • 3+ years of experience leading and managing software development teams
                          • Proven experience designing service and microservice based architectures
                          • Strong knowledge and understanding of container and micro-services technologies (Docker, Kubernetes, APIM); domain expertise in data platform
                          • Functional experience developing applications using Cloud technologies (e.g. Google Cloud)
                          • Proven experience working with big data technologies (e.g. Spark, Airflow, MinIO, Rancher)
                          • Proven experience working with relational databases (DB2, MySQL, PostgreSQL).
                          • Strong Understanding of CI/CD (Jenkins, Git, Bitbucket, other).
                          • Experience working with traditional data warehousing / ETL tools (Talend, Informatica, DataStage, other).
                          • Experience in software engineering best practices such as code reviews, testing frameworks, maintainability and readability
                          • Knowledge and understanding of analytics & data science life cycle
                          • Experience in Agile/Product/Architecture.
                          • Experience in Cloud Data Solutions would be an asset
                          • Ability to solve ambiguous and typically novel problems that require the effort of several engineers and organizational alignment
                          • Experience in technical leadership of medium to large sized technical teams in delivering production solutions.
                          • Strong communication skills, both written and spoken
                          • Attention to details, high standards for quality.
                          • Desire to learn, grow yourself and your team.
                          • Passion for driving teams towards high performance and a deep pride in quality craftsmanship that delights users.
                          • Writing and maintaining related documentation.
                          • Ability to be an effective influencer on technology direction / an effective evangelist.
                          • Helps recruit + groom technology leaders and future leaders.

                          Location(s): Canada : Ontario : Toronto

                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                          ",,https://jobs.scotiabank.com/job/Toronto-Principal-Data-Engineer-9-ON-M5C2V9/563950917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-12-08T14:49:00.000Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/165148999-principal-data-engineer-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Principal-Data-Engineer-9-ON-M5C2V9/563950917/,expired,2022-11-10T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -a44e6c0a-e841-4263-bd6d-a092c63f0913,173978081,Georgian,Machine Learning Engineer (Intern),temporary,"Toronto, ON, Canada",2022-12-05T14:59:19.066Z,"

                          Georgian is a fintech company that invests in high growth technology companies that harness the power of data in a trustworthy way.

                          At Georgian, we’re building a platform to provide a better experience of growth capital to software company CEOs and their teams, using an intelligent, data-first approach to solving the key challenges CEOs face as they grow their businesses.

                          Based in Toronto, Georgian’s team brings together software entrepreneurs, machine learning experts, experienced operators and investment professionals.

                          We invest in SaaS-based and AI-driven software companies across all industries including healthcare, cybersecurity, and education. The Georgian Impact team works with our portfolio companies to accelerate their progress in applied artificial intelligence, while also further developing their technology and engineering capabilities. The projects we typically work on helping our companies accelerate the adoption of machine learning, apply transfer learning to solve cold-start problems and deliver machine learning solutions under strong privacy constraints. We contribute back to the open source community by building software libraries based on successful projects. We also drink our own champagne by using machine learning to find the best companies to invest in.

                          -

                          -

                          Our internship philosophy:

                          -
                              -
                            • You will work on a project that matches your experience
                            • -
                            • The project is designed to be impactful and well-aligned with the company's goals
                            • -
                            • We encourage publications such as research papers, technical reports and blog posts
                            • -
                            • A designated mentor will provide support throughout the internship term
                            • -You will be working on:
                            • Tooling to help our data scientists with their machine learning workflow
                            • -Join us if you are interested in:
                            • Seeing the impact of your work
                            • -
                            • Learning how venture capital work
                            • -
                            • Working with people with diverse expertise
                            • -
                          -

                          What you will bring:

                          -
                              -
                            • Strong software development skills required: Object-Oriented Programming, Algorithms and Data Structures
                            • -
                            • Proficient at Python
                            • -
                            • Experience working with cloud systems, such as AWS EC2, S3, IAM, or GCP Compute Engine, Cloud Storage, IAM, etc
                            • -
                            • High-level understanding of machine learning
                            • -
                            • Experience with web front end and backend desired
                            • -
                            • Experience with Docker containers desired
                            • -
                            • Experience with working on Continuous Integration/Continuous Delivery (CI/CD) pipelines using tools such as Jenkins, Terraform, Ansible or Chef
                            • -
                            • Graduate or Senior Undergraduate student in Computer Science, Computer Engineering, or related disciplines
                            • -
                            • Strong communication skills
                            • -
                          -

                          If this sounds like an opportunity you are interested in, we would love to chat. Please apply by telling us why you think you would be a great fit for this role by Dec. 7th/2022.

                          Georgian is passionate about creating a diverse and inclusive workplace. We promote equality and strive to provide all current and prospective employees with support and opportunities. We offer competitive salaries, carried interest and the opportunity to invest directly in our funds. Employee health and well-being are also very important to us so we offer 4 weeks of paid vacation, access to private doctors and MedCan, no-fee private banking and 6 months of paid parental leave along with top health care benefits.
                          Reasonable accommodations are available to job applicants on request and throughout the application process. If you require accommodation, please contact peopleoperations@georgian.io.

                          ",surina@georgian.io,,aitalent@vectorinsitute.ai,https://georgianpartners.com/careers/,,,2022-12-08T14:45:00.000Z,True,9,0,137,https://talenthub.vectorinstitute.ai/jobs/173978081-machine-learning-engineer-intern-at-georgian,,expired,2022-12-05T14:59:00.000Z,admin,Scaling (20-499),Vector Quick Apply,,Internship/Co-op,Bachelors Degree,New Posting, -c993ff32-ff81-4e1f-a995-aee8f2673f3c,165511619,DeepR Analytics,Data Scientist- Reinforcement Learning ,full,"Toronto, Ontario M5J 2N8, Canada",2022-11-11T17:56:58.534Z,"

                          DeepR Analytics is a global Financial Technology company that uses Machine Learning, Deep Learning and Reinforcement Learning to develop automated trading software for the US Equities Markets. www.deepranalytics.com

                          -

                          Our Modeling and Research team is looking for Data Scientists (including Faculty, Masters and Ph.D. students), remote (full-time or part-time), to assist with building out Reinforcement Learning (RL) algorithms. The candidates will work closely with Quant Strategist, Francois Laurent https://www.linkedin.com/in/francois-laurent-20516010/

                          -

                          Contact: globalops@deepranalytics.com with your CV.

                          -

                          Responsibilities

                          -
                            -
                          1. Reinforcement Learning – the candidate will improve current RL algorithms
                          2. -
                          3. Data Engineering – the candidate will organize, manipulate and visualize large quantities of data to draw conclusions
                          4. -
                          5. Coding – the candidate will implement their research and code in Python/Tensorflow
                          6. -
                          7. Collaborate effectively with the global team to meet project deliverables
                          8. -
                          -

                          Required Qualifications

                          -
                            -
                          1. Proficiency in Reinforcement Learning and Deep Learning.
                          2. -
                          3. Strong coding skills in Python
                          4. -
                          5. Good knowledge of time series analysis and experience applying Neural Networks to time series
                          6. -
                          7. Master of Science or Ph.D. (completed or in progress) in a Quantitative discipline such as Mathematics, Physics, Statistics, Data Science or Quantitative Finance
                          8. -
                          9. Superior verbal and written communication skills with the ability to convey rigorous mathematical concepts and considerations to non-experts
                          10. -
                          11. Ability to collaborate effectively across functions, pivoting as necessary to meet evolving deliverables
                          12. -
                          -

                          Desired knowledge and qualifications

                          -
                            -
                          1. Knowledge of C++ programming
                          2. -
                          3. Familiarity with cloud-based platforms, in particular, AWS EC2, docker
                          4. -
                          5. Strong understanding of statistics and linear regression
                          6. -
                          7. Good knowledge of signal processing
                          8. -
                          9. Knowledge and understanding of trading, microstructure and risk analytics
                          10. -
                          -

                          ",globalops@deepranalytics.com,,globalops@deepranalytics.com,http://www.deepranalytics.com,,,2022-12-11T18:43:11.712Z,False,10,0,164,https://talenthub.vectorinstitute.ai/jobs/165511619-data-scientist-reinforcement-learning-at-deepr-analytics,,expired,2022-11-11T17:56:00.000Z,website,Scaling (20-499),Vector Quick Apply,Technology (Product Development),Senior Level,Masters Degree,New Posting, -8e0ae6c1-e485-4433-b28b-6c9683dc33df,188133598,Scotiabank,"Senior Manager, Business Intelligence - Segments (Contract)",on_site,Canada : Ontario : Toronto,2023-01-18T17:22:02.672Z,"

                          -

                          -

                          -

                          -

                          Requisition ID: 170832

                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                          -

                          -

                          Reporting to the Director, Business Intelligence this role will be responsible for providing/generating the business KPI’s & insight at customer segment level for CCAU region. The Senior Manager, Business Intelligence works on data analysis, reporting, and generating insights for Segment lines. You are also responsible for championing data driven decisions and ensuring initiatives are executed / delivered in support of the team’s business strategies and objectives. You will also ensure all activities conducted are in compliance with governing regulations, internal policies and procedures.

                          -

                          -

                          Accountabilities:

                          -

                          -
                          • Leads and drives a customer focused culture throughout their team to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                          • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge
                          • Managing Business KPIs, conducting regular reporting and trend analysis across all Segment Lines including Affluent & Mass Market segments, Small Business and Commercial Banking
                            • Produce regular reports (including quarterly and monthly Executive level Reports on Business, and Digital Dashboard) for Senior Management on a timely basis; providing insights and value-added analysis.
                            • Prepare reports and dashboards to inform strategic decision-making including trending analysis, projections and forecasts utilizing statistical modelling.
                            • Work closely with the different internal customers to understand their business requirement and provide useful strategic insights to support their decisions.
                            • Conduct analysis in order to improve/identify opportunities into segments to support sales/productivity, balances, product usage, digital adaptation, etc.
                          • -
                          -

                          -
                          • Support business projects for the CCAU Analytics team by:
                            • Representing Data and Analytics as a subject matter expert in project meetings with business partners, ascertaining that all reporting and data requirements are flagged, addressed and incorporated
                            • Designing & implementing business intelligence assets such as reports, dashboard, and data cubes to support different decision-making processes across the bank.
                            • Collaborating with the different business areas to provide self-service tools and support their decision-making processes and strategy design.
                            • Being involved in the definition of business requirements and processes, ensuring that progress can be measured against planned objectives by working with QA Development teams, Security, and internal partners; performing analysis and completing reports to measure project success and impact to business
                          • -
                          -

                          -
                          • Effectively champion data driven decision making by:
                            • Identifying and communicating information gaps across business lines to drive alignment on key metrics and reporting; develop plan of action to address and close any gaps
                            • Developing data elements metrics and indicators to provide insights and drive business value and the ability to respond to requests for ad hoc reports efficiently
                            • Investigating and become an expert in available data sources of data, transform and determine how they can be interpreted for analysis
                            • Collaborating with data scientists, data engineers and operational teams to implement quality controls and automate data feeds and report generation.
                            • Presenting results to business line stakeholders and help implement real data-driven changes
                            • Documenting business processes, reporting requirements communication and metrics definitions
                          • -
                          -

                          -
                          • Support the Management team by:
                            • Identifying and articulating business insights that will inform strategic and tactical plans
                            • Collaborating with the team in order to enhance performance and Return on Investment, including measuring initiatives and programs
                            • Standardizing & improving efficiency to generate reports for the bank executives.
                            • Collaborating with other analytics teams and finance to report on targets for the business metrics.
                          • -
                          -

                          -
                          • Identifying and delivering new ways and means of enhancing Business Intelligence (BI) and Analytics for the business by:
                            • Assessing new innovations in data visualization methods and proposing solutions for improved reporting and dashboards focused with a segment approach.
                            • Remaining up to date on leading edge forecasting and analytical tools and techniques to improve and optimize data and reporting efficiencies
                          • -
                          -

                          -
                          • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                          • Creates an environment in which their team pursues effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
                          • Builds a high performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment and using a coaching mindset and behaviours; communicating vison/values/business strategy; and, managing succession and development planning for the team.
                          • -
                          -

                          -

                          Education and Experience:

                          -

                          -
                          • Bachelor Degree in Economics, Engineering or Business Administration, with emphasis in Banking and Finance, Marketing or equivalent
                          • Minimum 3 years of BI experience desired, including knowledge of consumer products sales forces management
                          • Thorough knowledge of Excel
                          • Intermediate to advanced hands-on experience working with SQL queries
                          • Power BI knowledge is an asset
                          • Strong analytical skills
                          • Strong negotiation and influencing skills to participate in cross functional teams and engage and influence stakeholders.
                          • Solid understanding of the Retail Bank’s objectives, strategies and structures
                          • Working knowledge of services provided by service/support areas such as Shared Services, International Banking HR and Learning & Performance Solutions.
                          • Thorough knowledge of Retail Banking products and services, including a working knowledge of systems, routines and operating procedures is desired
                          • -
                          -

                          -

                          Location(s): Canada : Ontario : Toronto

                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                          ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Business-Intelligence-Segments-%28Contract%29-ON-M5H1B6/566598017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-30T17:27:03.111Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/188133598-senior-manager-business-intelligence-segments-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Business-Intelligence-Segments-%28Contract%29-ON-M5H1B6/566598017/,expired,2023-01-18T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -6710d10f-7365-448e-88d1-336230e121c5,179957838,BMO Financial Group,"Manager, Sales Force Analytics & Sales Practices",on_site,"Ontario, Canada",2022-12-22T17:12:02.221Z,"
                          -

                          Address:

                          55 Bloor Street West

                          -

                          -

                          Job Family Group:

                          Data Analytics & Reporting

                          -

                          -

                          -

                          -

                          Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                          -
                            -
                          • Acts as a trusted advisor to assigned business/group.
                          • -
                          • Leads the design, development, and implementation of analytic solutions.
                          • -
                          • Identifies emerging issues and trends to inform decision-making.
                          • -
                          • Recommends and implements solutions based on analysis of issues and implications for the business
                          • -
                          • Ensures alignment between stakeholders about business needs and data needs.
                          • -
                          • Ensures alignment between stakeholders about business needs and data needs.
                          • -
                          • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                          • -
                          • Designs, develops, and implements innovative analytical solutions.
                          • -
                          • Designs and produces regular and ad-hoc reports, and dashboards.
                          • -
                          • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                          • -
                          • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                          • -
                          • Cleanses, manipulates, and transforms data through programming / scripting for model training and validation.
                          • -
                          • Automates validation tests to improve quality and efficiency of the validation process.
                          • -
                          • Validates and tests models used in analytics and reporting to assess/address performance and compliance.
                          • -
                          • Conducts various pre-implementation and post-implementation analyses to estimate/measure business impact caused by model adoption (e.g., revenue increase, cost reduction, corporate brand image).
                          • -
                          • Promotes reporting automation, self-serve analytics consumption, and the culture of analytics-driven decision making.
                          • -
                          • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                          • -
                          • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                          • -
                          • Designs, develops, and implements innovative analytical solutions.
                          • -
                          • Designs and produces regular and ad-hoc reports, and dashboards.
                          • -
                          • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                          • -
                          • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                          • -
                          • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                          • -
                          • Analyzes data and information to provide subject-matter insights and recommendations.
                          • -
                          • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                          • -
                          • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                          • -
                          • Builds effective relationships with internal/external stakeholders.
                          • -
                          • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                          • -
                          • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                          • -
                          • Provides specialized consulting, analytical and technical support.
                          • -
                          • Exercises judgment to identify, diagnose, and solve problems within given rules.
                          • -
                          • Works independently and regularly handles non-routine situations.
                          • -
                          • Broader work or accountabilities may be assigned as needed.

                            Qualifications:

                            -
                          • -
                          • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                          • -
                          • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - In-depth.
                          • -
                          • Deep knowledge and technical proficiency gained through extensive education and business experience.
                          • -
                          • Verbal & written communication skills - In-depth.
                          • -
                          • Collaboration & team skills - In-depth.
                          • -
                          • Analytical and problem solving skills - In-depth.
                          • -
                          • Influence skills - In-depth.
                          • -
                          • Data driven decision making - In-depth.
                          • -
                          -

                          -

                          -

                          We’re here to help

                          -

                          -

                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                          -

                          -

                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                          -

                          -

                          To find out more visit us at https://jobs.bmo.com/ca/en.

                          -

                          -

                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                          -

                          -

                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                          -
                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager--Sales-Force-Analytics---Sales-Practices_R220031004-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-01-30T17:17:02.842Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/179957838-manager-sales-force-analytics-sales-practices-at-bmo-financial-group,,expired,2022-12-22T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -5d7f82f4-3f55-4104-b229-bccd019c238b,189567843,Google,"Analytical Lead, Large Customer Sales",on_site,"Toronto, ON, Canada",2023-01-23T17:20:02.822Z,"
                          -
                          -2022-12-07T11:27:39.821Z
                          -
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                          • Share
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                            Save -
                          • -

                          Analytical Lead, Large Customer Sales

                            -
                          • Google
                          • -
                          • In-office:
                            - Toronto, ON, Canada -
                          • -
                          -
                          -

                          Qualifications

                          -

                          Minimum qualifications:

                          -
                            -
                          • Bachelor\'s degree or equivalent practical experience
                            -
                          • -
                          • 8 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis
                            -
                          • -
                          -

                          Preferred qualifications:

                          -
                            -
                          • Experience using search engine marketing (Google Ads), website analytics platforms (Google Analytics and other measurement suite products), and brand analysis techniques (upper funnel analysis)
                            -
                          • -
                          • Experience using SQL to extract and manipulate data, or with other programming or scripting languages (e.g., R, Python, C++, etc.)
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                          • Experience with marketing analytics, return on investment/financial modeling, and statistical analysis
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                          • -
                          • Understanding and experience with spreadsheet software and presentation applications
                            -
                          • -
                          • Ability to analyze large datasets and translate them to actionable insights
                            -
                          • -
                          -
                          -
                          -
                          -

                          About the job

                          -

                          Businesses that partner with Google come in all shapes, sizes and market caps, and no one Google advertising solution works for all. Your knowledge of online media combined with your communication skills and analytical abilities shapes how new and existing businesses grow. Using your relationship-building skills, you provide Google-caliber client service, research and market analysis. You anticipate how decisions are made, persistently explore and uncover the business needs of Google\'s key clients and understand how our range of product offerings can grow their business. Working with them, you set the vision and the strategy for how their advertising can reach thousands of users.

                          -

                          As an Analytical Lead, you will be a strategic analyst, advisor, and consultant, providing data supported insights to clients and agencies to help improve their business. You will also influence teammates and clients in how they think about measuring the value that they get from their marketing efforts.

                          -

                          -

                          Our Large Customer Sales teams partner closely with many of the world’s biggest advertisers and agencies to develop digital solutions that build businesses and brands. We enjoy a bird’s eye view on the massive transformation occurring as advertising shifts to mobile and online platforms. We\'re uniquely situated to help shape how companies grow their businesses in the digital age. We advise clients on Google\'s broad range of products across search, video and mobile to help them connect instantly and seamlessly with their audiences.

                          -
                          -
                          -
                          -

                          Responsibilities

                            -
                          • Build and own client relationships with media and analytics stakeholders. Influence investment and measurement decisions based on impact to clients\' businesses and craft recommendations that lead to client action.
                            -
                          • -
                          • Lead the development and execution of client-specific measurement plans that define a roadmap to improving measurement maturity.
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                          • Quantify the impact of Google media on client business objectives using measurement methodologies like attribution, experiments, and marketing mix models.
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                          • Design and perform analyses that uncover growth opportunities for client business objectives and drive adoption of measurement and attribution solutions to better value Google and non-Google media.
                            -
                          • -
                          • Build ways to solve common client business needs and share best practices (e.g., analysis, tools, frameworks) and client successes across industries.
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                          • -
                          -
                          -

                          Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                          Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                          To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                          To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                          At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                          We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                          Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                          -
                          -
                          -
                          ",,"https://careers.google.com/jobs/results/75605835046101702-analytical-lead-large-customer-sales/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-01-30T17:25:02.495Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/189567843-analytical-lead-large-customer-sales-at-google,,expired,2023-01-23T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Team Lead,Bachelors Degree,New Posting, -deec3f95-9900-4f12-ac4e-0b71c4f0dbb0,189565753,RBC,Sr. Manager Product Analytics,on_site,"Toronto, ON, Canada",2023-01-23T17:16:03.506Z,"
                          -

                          Come Work with Us!

                          At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                          Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                          -

                          Job Title

                          Sr. Manager Product Analytics

                          -

                          -

                          Job Description

                          -

                          What is the opportunity?

                          -

                          As the Senior Manager, Product Analytics, you will be responsible for supporting the analytics and data needs of the Personal Lending Product team. This includes providing actionable insights, data-driven product strategy, and recommendations to senior leadership to drive growth and profitability.

                          -

                          -

                          What will you do?

                          -
                            -
                          • Develop and maintain origination pricing strategies for Unsecured Lines of Credit, Education Financing and Installment loans to ensure an optimal balance between profitability and acquisition volumes
                          • -
                          • Identify and execute on price optimization opportunities for revolving credit product portfolios to achieve profitability targets and improve KPIs.
                          • -
                          • Monitor competitor activity and develop benchmarking to inform pricing strategies.
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                          • Work closely with partner groups to manage the pricing lifecycle (strategy, execution, performance monitoring and refinement) for all PL products
                          • -
                          • Support the analytics needs of the PL business, including developing a deeper understanding of segment economics and customer behaviour, support for business cases, deep dives on new product innovation and special projects
                          • -
                          • Provide ad hoc analysis with actionable insights to enable strategic, fact-based discussions and facilitate better decision-making within PL
                          • -
                          -

                          -

                          -

                          What do you need to succeed?

                          -

                          Must-Have

                          -
                            -
                          • 3+ years related work experience developing pricing strategies and financial models
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                          • Programming experience to extract data and complete complex analytics (SAS / SQL)
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                          • Strategic mindset and ability to own the development and execution of pricing strategies
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                          • Ability to demonstrate proficiency for critical thinking and analytics
                          • -
                          • Strong written and verbal communication skills
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                          -

                          -

                          -

                          Nice-To-Have

                          -
                            -
                          • Bachelor’s degree in a quantitative field (e.g. Business, Economics, Engineering, Statistics, etc.) Programming experience with R and/or Python
                          • -
                          • Credit fundamentals including risk modeling and credit strategy development
                          • -
                          • Subject matter expertise on developing price sensitivity and propensity mode
                          • -
                          -

                          -

                          -

                          -

                          Job Summary

                          -

                          Address:

                          TORONTO, Ontario, Canada

                          City:

                          CAN-ON-TORONTO

                          Country:

                          Canada

                          Work hours/week:

                          37.5

                          Employment Type:

                          Full time

                          Platform:

                          Personal and Commercial Banking

                          Job Type:

                          Regular

                          Pay Type:

                          Salaried

                          Posted Date:

                          2022-11-22-08:00

                          Application Deadline:

                          2023-01-30-08:00
                          -

                          Inclusion and Equal Opportunity Employment

                          -

                          At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                          ​​​​​​​
                          We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                          -
                          -

                          Join our Talent Community

                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                          -
                          ",,https://jobs.rbc.com/ca/en/job/R-0000038195/Sr-Manager-Product-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-01-30T20:05:00.000Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/189565753-sr-manager-product-analytics-at-rbc,,expired,2023-01-23T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -f3f603d0-23bb-4bea-bec9-4d5e6eac7012,189570642,CN,"Intern, Solution Management",on_site,"Ontario, Canada",2023-01-23T17:42:02.079Z,"
                          -

                          At CN, everydaybrings new and exciting challenges. You can expect an interesting environmentwhere you’re part of making sure ourbusiness is running optimally and safely―helping keep the economy on track. We welcome students who share theirideas, perspectives and understanding of newtechnologies withour teams. In return, we provide the opportunity towork on exciting projects with experienced collaborators who are happy to share their knowledge, all within a mutually-agreed to framework. Youwill be able to thrive in our close-knit, safety-focused culture workingtogether as ONE TEAM. The opportunities we offer are meaningful because thework we do matters. Join us!

                          -

                          -

                          Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern, Solution Management position in Montreal, Quebec for summer 2023 (May – August).

                          -

                          Job Summary

                          -

                          The Intern, Solution Management (SM) is responsible for supporting Customer Studio on various initiatives. The incumbent participates in assignments with the core applications team to understand the end to end delivery processes. The role assists in improving processes and executing assignments. The position provides assistance in organizing and improving collaboration as well as helping to organize information and structure it for future initiatives.

                          -

                          Major Responsibilities

                          -
                            -
                          • Work on centralized dashboards, monitoring, and reporting related to system stability, reliability, and recovery, which might include development, data mining for root causes and trends as well as other related activities
                          • -
                          • Support process improvements to streamline development
                          • -
                          • Assist with collaboration opportunities in Confluence and SharePoint
                          • -
                          -

                          Requirements

                          -
                            -
                          • Knowledge of process improvement and Software Development Life Cycle (SDLC)
                          • -
                          • Power BI experience and a desire to perform data mining
                          • -
                          • Experience with various collaboration tools and processes
                          • -
                          • Ability to work independently
                          • -
                          -

                          Education

                          -
                            -
                          • Working towards a Bachelor’s Degree in Computer Sciences or related field
                          • -
                          • Bachelor’s Degree in Business Administration or similar would also be considered
                          • -
                          -

                          -

                          -

                          About CN

                          CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                          -

                          CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                          -
                          ",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/9630?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-01-30T20:06:00.000Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/189570642-intern-solution-management-at-cn,,expired,2023-01-23T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Internship/Co-op,Bachelors Degree,New Posting, -1003ebb0-b22d-4ee6-baa5-2feeb78e58b9,189568966,Scotiabank,"Manager, Data Strategy - CID&A",on_site,Canada : Ontario : Toronto,2023-01-23T17:22:02.629Z,"

                          -

                          -

                          -

                          -

                          Requisition ID: 169773

                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                          -

                          -

                          Purpose:

                          -


                          The Manager, Data Strategy will be accountable for delivery of data analytics and business intelligence in support of strategic initiatives that go across different functions within Canadian Banking including Canadian Banking Analytics, Products, Market Research, Marketing, Customer Growth. Using analytics tools such as Python, PySpark, SAS and Power BI, this role will access a wide range of sophisticated complex data sources to uncover insights in support of business initiatives and inquiries. The incumbent will work collaboratively with Data Enablement team to implement final data in the production for sharing with a wide audience.

                          -


                          Accountabilities:

                          -


                          Accountability 1 – Data Analytics and Visualization

                          -
                          • Use a variety of Business Intelligence analytical and reporting tools (eg. Python, PySpark, SAS, SQL, Power BI) to
                          • access Enterprise Data Warehouse (EDW), Data Lake (EDL) and other platforms to perform complex analysis and
                          • reporting, including interactive dashboards, scorecard, regular reports, and ad-hoc requests as required.
                          • Lead the adoption of visualization tool such as Power BI as the primary delivery method to enable user interaction
                          • and data exploration by business partners.
                          • Provide dynamic reporting on key performance metrics to various stakeholders in retail, small business, product
                          • lines, channels, other strategic groups, and external stakeholders.
                          • Act as the advocate of CB Analytics to showcase analytics solutions and dashboards that helps business partners
                          • to gain insight, build business cases and make fact-based decisions
                          • Effectively manage and prioritize multiple business initiatives, projects and ad-hoc analysis with business
                          • stakeholders and possible external partners.
                          • -
                          -


                          Accountability 2 – Data Engineering

                          -
                          • Support migration of SAS based data processing workflows to Apache Spark & PySpark.
                          • Collaborate with analytics peers and data infrastructure groups across the bank on data initiatives such as platform
                          • migration and new data source ingestion and requirements for projects
                          • Build re-usable managed datasets for CBA stakeholders.
                          • Document existing processes and workflows, and look for opportunities to optimize and automate work stream
                          • Coach, assist and share knowledge and expertise to new and existing team members with varying degrees of
                          • technical and data expertise
                          • Learn new tools and technology to meet evolving business needs.
                          • -
                          -


                          Accountability 3 – Business Impact

                          -
                          • Act as project owner in requirements gathering, program development and process automation to ensure high
                          • quality delivery.
                          • Support the development and implementation of long-term data and analytics strategy that move towards high
                          • degree of automation and end-user self-help solutions
                          • Acquire and enhance knowledge in technical areas, product strategies, competitive practices, market insights to
                          • continuously improve analytics value
                          • -
                          -

                          -

                          Requirements & Qualifications:

                          -
                          • Bachelor's Degree in Computer Science, Engineering, Math, Statistics, or another quantitative field.
                          • 4+ years of experience in advanced analytics or data scientist role
                          • Must be proficient with Python (3+ years), PySpark, Spark, SAS, SQL, Power BI, Excel and MS Office
                          • Experience with Big Data ecosystem tools (e.g. Hadoop, Hive, Spark) and data processing within the EDL
                          • for ‘big data’ data pipelines, architectures & data sets
                          • Experience with HDFS/Hive, MinIO/Presto/Trino, Airflow, Docker, Git would be an asset
                          • Experience with Google Cloud Platform (Google Cloud) would be an asset
                          • Excellent analytical and problem-solving skills. Must be able to interpret and consolidate large amount of
                          • information in actionable recommendations
                          • Must be flexible to adapt to a dynamic environment and make quick and sound decisions under pressure
                          • Must be reliable, pro-active, results-oriented, customer-focused, and attentive to details
                          • Must possess excellent time management and organizational skills
                          • Strong communication skills and relationship building skills with internal partners
                          • Strong prioritizing, planning, analytical, requirement gathering and presentation skills
                          • Open to learn new tools and explore new ways of analyzing data and business performance
                          • -
                          -

                          -

                          Good to have Qualifications:

                          -

                          -
                          • 2+ years’ experience of banking and financial services products, covering all business lines, (day-to-day, borrowing, investing, insurance, wealth management, and small business)
                          • -
                          -

                          -

                          -

                          Location(s): Canada : Ontario : Toronto

                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                          ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Strategy-CID&A-ON-M5C2W1/566285917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-30T20:04:00.000Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/189568966-manager-data-strategy-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Strategy-CID&A-ON-M5C2W1/566285917/,expired,2023-01-23T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -73c5a659-f31c-47df-b7bb-868969185770,185931914,RBC,Senior Data / ML Engineer (very flexible on the years of experience),on_site,"Toronto, ON, Canada",2023-01-11T15:19:54.435Z,"

                          RBCers across Technology & Operations, Chief Data Office, and Personal and Commercial Banking will present their team’s mandates and priorities as well as any current and upcoming roles at the RBC Information Session(Hybrid). Networking and speed interviews will follow team presentations.

                          -

                          Please Note: Applicants without those years of experience are encouraged to apply. RBC is very flexible on the amount of experience they are looking for in this role and looking forward to meeting you in person if you are available.

                          -

                          Due to capacity and space limitations, RBC encourages Vector’s upcoming grads and alumni to attend the session in person and looks forward to meeting all others virtually.

                          -

                          Come Work with Us!

                          At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                          Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                          -

                          Job Title

                          -

                          Senior Data / ML Engineer

                          -

                          Job Description

                          -

                          As a senior experienced engineer, you will be responsible for building and managing data platforms and pipelines for Data Science with appropriate data governance and security. You will work with data scientists and peer data engineers to actively solve business problems and delivering value using agile methodology. You will work with technical and business stakeholders to build and maintain an optimized and scalable data pipeline and democratize data. You will participate in the architecture review and approval process. You will be also responsible for working closely with data scientists in the area of data ingestion and feature engineering, establishing coding best practices, maintaining and managing technical documentation and incident triaging and resolution.

                          -

                          What will you do?

                          -

                          As part of Data Science team, you will encompass an end to end view from data sourcing, lineage, quality, transformation and storage.

                          -
                            -
                          • Execute Development and Integration activities (planning, execution, testing, deployment and post implementation support) of existing and new data and visualization Technologies (e.g. Omni-Channel reporting, Gamification/Visualization).
                          • -
                          • Prepare data to be used for diagnostic/descriptive reporting and data science work.
                          • -
                          • Build container based solutions, pipelines, APIs/Microservices and analytics portal for heterogeneous data sources on internal data lakes or cloud platforms
                          • -
                          • Collaborate with Data scientists, Process Engineers and Business Stakeholders to develop data pipelines, and assist with prescriptive and predictive analytics through consolidated data
                          • -
                          • Identify and resolve data movement/transformation/processing bottlenecks
                          • -
                          • Research emerging Data and Visualization technologies trends/best practices and propose solutions for Technology and Business partners.
                          • -
                          • Mentor junior team members
                          • -
                          -

                          What do you need to succeed?

                          -

                          Must Have:

                          -
                            -
                          • University degree in Computer Science, Engineering or equivalent
                          • -
                          • Experienced in building data pipelines end to end
                          • -
                          • Demonstrated leadership skills; ability to identify / foresee issues and to proactively recommend and build resilient solutions
                          • -
                          • Advanced SQL knowledge and experience working with relational databases
                          • -
                          • Experience in developing scalable, configurable applications using Python/Java and application frameworks
                          • -
                          • Knowledge of relevant security considerations for applications on cloud
                          • -
                          • Knowledge of VMs and various MLOps platforms such as Dataiku, WandB
                          • -
                          • Knowledge of AWS, GCP, Azure and Sagemaker
                          • -
                          -

                          5+ years of hands-on experience in following key areas:

                          -
                            -
                          • Data engineering solutions: Logstash, Python, SQL Server, Kafka, Hadoop, Spark, Scala
                          • -
                          • API: Flask, Node.JS, Django, and Microservices technologies
                          • -
                          • Automation/DevOps: Jenkins, Airflow, UCD, Selenium and similar technologies
                          • -
                          • Cloud technologies: Openshift, PCF, Docker, Kubernetes
                          • -
                          • GIT
                          • -
                          -

                          Nice to Have

                          -
                            -
                          • Supervised and Unsupervised Machine learning, Natural Language Processing
                          • -
                          • Security frameworks: LDAP, Kerberos, OAuth 2.0, Vault integration
                          • -
                          • SAS, Matlab
                          • -
                          • Experience working in agile environment
                          • -
                          -

                          What’s in it for you?

                          -

                          We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                          -
                            -
                          • A comprehensive Total Rewards Program including bonuses and flexible benefits and competitive compensation
                          • -
                          • Leaders who support your development through coaching and managing opportunities
                          • -
                          • Work in a dynamic, collaborative, progressive, and high-performing team
                          • -
                          • Opportunities to do challenging work
                          • -
                          -

                          Job Summary

                          -

                          Address:

                          -

                          TORONTO, Ontario, Canada

                          -

                          City:

                          -

                          CAN-ON-TORONTO

                          -

                          Country:

                          -

                          Canada

                          -

                          Work hours/week:

                          -

                          37.5

                          -

                          Employment Type:

                          -

                          Full time

                          -

                          Platform:

                          -

                          Strategy and Administration

                          -

                          Job Type:

                          -

                          Regular

                          -

                          Pay Type:

                          -

                          Salaried

                          -

                          Posted Date:

                          -

                          2023-01-06-08:00

                          -

                          Application Deadline:

                          -

                          2023-01-20-08:00

                          -

                          Inclusion and Equal Opportunity Employment

                          -

                          At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                          ​​​​​​​
                          We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                          -

                          Join our Talent Community

                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                          ",alicia.sarran@rbc.com,,aitalent@vectorinsitute.ai,https://jobs.rbc.com/ca/en/,,,2023-02-01T14:05:00.000Z,False,28,0,325,https://talenthub.vectorinstitute.ai/jobs/185931914-senior-data-ml-engineer-very-flexible-on-the-years-of-experience-at-rbc,,expired,2023-01-11T15:19:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Financial Services,Associate,Masters Degree,New Posting, -4fade2d1-b6a2-4ca9-8616-8643f8bd0aae,189730114,Scotiabank,Director and Head of Data Office,on_site,Canada : Ontario : Toronto,2023-01-24T17:22:02.203Z,"

                          -

                          -

                          -

                          -

                          Requisition ID: 171123

                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                          -

                          -

                          Scotiabank is currently seeking a Director and Head of GBM Data Implementation Services to join our growing team! This role manages the implementation of data governance, and management requirements across the Global Banking and Markets (GBM) organization. This role must take a customer centric approach to ensure alignment across business priorities and data requirements to ensure data initiatives drive value for the business. If you would like to be apart of a passionate and dynamic team, apply today!

                          -

                          -

                          Is this role right for you? You will be responsible for:

                          -

                          -

                          Governance

                          -
                          • Manage the strategy design and implementation of data governance and management requirements across the GBM business.
                          • Provide senior management with oversight and transparency of data governance activities, program maturity, plans and progress against plans.
                          • Represent the U.S. Data Office in relevant steering committees and forums.
                          • -
                          -

                          -

                          Defensive

                          -
                          • Ensure alignment of program outcomes with internal policies, standards and external regulatory requirements.
                          • Manage and communicate audit and regulatory requests. Due to nature of regulatory environment, these documents should be prepared with diligence, accuracy and consistency with other related artifacts.
                          • Respond to oversight findings and develop and execute action plans to resolve open items.
                          • Identify and report known risks for the data program.
                          • -
                          -

                          -

                          Offensive

                          -
                          • Lead and coordinate the creation of GBM data domains with data modeling, process design, identification of critical data elements, authoritative data sources, business requirements/attributes, and technical specifications.
                          • Align with business stakeholders to understand business priorities and needs.
                          • Collaborate with business and technology to ensure timely remediation of prioritized data issues.
                          • Foster the adoption of the GBM Data Platform across the GBM business processes.
                          • -
                          -

                          -

                          Team Leadership

                          -
                          • Manage a team of data professionals who work within business functions to execute the data strategy.
                          • Manage various stakeholders including business leaders, business stakeholders, enterprise data partners, 2nd and 3rd line oversight functions and regulators.
                          • Provide oversight and guidance to ensure timely and effective implementation of data solutions.
                          • -
                          -

                          -

                          Do you have the skills you need to succeed? We'd love to work with you, if you have:

                          -

                          -
                          • A minimum of 10 years’ experience working in a technology and data-related capacity.
                          • Must have 5 years of recent experience in data quality management and data governance functions with clear understanding of data models, data quality rules, and remediation practices.
                          • Strong experience is organization design and implementation, development of data strategies, data-related policies and procedures, and design and implementation of data standards and practices.
                          • Proven record of being customer centric and outcome oriented.
                          • Understanding of data modeling, data architecture, and data processing methods and practices.
                          • Strong background in data analytics, testing of data controls, and detection of data quality issues.
                          • Excels at stakeholder and relationship management
                          • Minimum bachelor’s degree in relevant field.
                          • Working knowledge of Corporate Lending, Investment Banking, Capital Markets and Financial Services industries. Understanding of the regulatory environment should include an understanding and appreciation of regulatory standards across jurisdictions, including requirements in Canada, the U.S. and globally.
                          • Strong project management experience with end-to-end oversight perspective, and with experience reporting program status to senior managers and stakeholders.
                          • Strong analytical, interpersonal and presentation skills, including verbal and written communication skills with attention to detail.
                          • Demonstrates flexibility and willingness to accept assignments and challenges in rapidly changing environment.
                          • -
                          -

                          -

                          Location(s): Canada : Ontario : Toronto

                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                          ",,https://jobs.scotiabank.com/job/Toronto-Director-and-Head-of-Data-Office-ON/566707917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-02T17:27:05.731Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/189730114-director-and-head-of-data-office-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Director-and-Head-of-Data-Office-ON/566707917/,expired,2023-01-24T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, -c64123df-8882-49c5-9f9d-c70d3f71f246,189730109,Scotiabank,"Senior Manager, Analytics & Data Management",on_site,Canada : Ontario : Toronto,2023-01-24T17:22:01.862Z,"

                          -

                          -

                          -

                          -

                          Requisition ID: 171765

                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                          -

                          -

                          Purpose of Job:

                          -

                          -

                          The Senior Manager contributes to the management of credit risk for the Retail portfolios by overseeing the data management and reporting function efforts. The Senior Manager is responsible for the development, data analytics, data management and execution of analytical and trend-based risk management, executive management, and external stakeholder analytic requirements across the retail life cycle (origination, portfolio management, and collection). The Senior Manager is responsible for the timely development of new, insightful analytics and reports as required.

                          -

                          The Senior Manager will provide leadership and support to key projects within the Retail Credit Risk Roadmap framework which will deliver data and reporting enhancements.

                          -

                          Job Responsibilities:

                          -

                          • Ensures the design, development and maintenance of reporting and data analytics for senior management and external stakeholders (incl Board, regulators); and, the robust data management for Retail Credit Risk reporting and analytics by:

                          -


                          • Developing and establishing new data sources
                          • Leading documentation and governance efforts of data, processes, reports
                          • Developing new reports and on-going enhancements
                          • Determining the best data compilation methods
                          • Leading data quality and data validation efforts.

                          -

                          -

                          • Oversees the execution of ad hoc reporting/analytics requests in an accurate and timely fashion by:

                          -


                          • Responding to requests from other Risk Management units, Global Finance and Business Lines
                          • Reviewing requests to determine time frame and allocation of resources; directing and coordinating key activities; and, reviewing the data / analyses and reporting and communicating with clients

                          -

                          -

                          • Leads key projects from the analytics, reporting and data management perspective by:

                          -


                          • Ensuring compliance with Regulatory requirements, End User Computing guidelines, RDARR principles other data-related requirements
                          • Improving the reporting methodology, identifying streamlining opportunities and redesigning as appropriate
                          • Increasing efficiency through automation of reports, involving Technology partners across GRM, IT&S as required.

                          -

                          -

                          • Collaborates with IT partners for the Business Acceptance Testing efforts for all changes impacting global retail data sets and reporting. Tests enhancements/changes to existing data sources and identify, monitor, and communicates data quality issues to multiple internal and external stakeholders.

                          -

                          • Collaborates with GRM stakeholders, other Bank stakeholders and partners (Technology, Audit, Finance, etc.) in fulfilling the strategic direction for Global Retail Credit Risk Data with ambiguous requirements and constantly shifting priorities.

                          -

                          • Documents and maintains the knowledge Base for projects, technical frameworks, Audit closure initiatives, maintain the Confluence/SharePoint/JIRA repositories of issues/tasks to facilitate better co-ordination and communication across teams and to the stakeholders.

                          -

                          • Promotes Scotiabank’s Retail credit risk management culture and staff, by sharing knowledge/experience and providing opportunities for staff to share responsibility for achieving business objectives/goals.

                          -

                          • Creates an environment in which his/her team pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk, as well as the Bank’s risk culture and the relevant risk appetite statement and limits.

                          -

                          Job Requirements:

                          -

                          -

                          • Over 7 years of programming and data analysis experience

                          -

                          • Post-Secondary degree in a quantitative /computer science field. Relevant Masters’ Degree is desirable

                          -

                          • Advanced knowledge of data management, aggregation, and analysis techniques.

                          -

                          • Demonstrated expertise with databases, query structure, data structure and data extraction. High level SQL Server, VBA, HIVE, HUE, R, S skills required. Knowledge of Hadoop / tools required. Robust reporting tool expertise (build, execution for data preparation / visualization); e.g., Tableau, Power BI, Essbase) is an asset.

                          -

                          • Superior PC skills with expertise in MS Access, PowerPoint, and Excel, critical due to the extensive manipulation of data required for the analytics and reporting.

                          -

                          • Effective time management skills to efficiently deliver concurrent project deliverables with competing priorities.

                          -

                          • Leadership and communication skills required to manage, prioritize, and execute diverse activities and projects concurrently. Schedules are often influenced by changing priorities.

                          -

                          • Excellent problem-solving and critical-thinking skills to recognize and comprehend complex issues

                          -

                          • Current awareness of regulatory requirements and industry best practices

                          -

                          • Solid understanding of personal and small business credit products and associated policies and procedures

                          -

                          -

                          Location(s): Canada : Ontario : Toronto

                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                          ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Analytics-&-Data-Management-ON-M5H1B6/566967217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-02T17:27:05.731Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/189730109-senior-manager-analytics-data-management-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Analytics-&-Data-Management-ON-M5H1B6/566967217/,expired,2023-01-24T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -2d8c22f5-ddcf-4de8-9765-670093a277bc,179960740,OMERS,Junior Data Scientist,on_site,"Ontario, Canada",2022-12-22T17:42:04.912Z,"
                          Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                          At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                          The Junior Data Scientist will join the dynamic Enterprise Data & Advanced Analytics team within Data & Technology that applies data, analytics, and AI to develop scalable business-first solutions for sustainable growth at OMERS. The Junior Enterprise Data Scientist will work alongside analytics specialists on their team and partner with data and analytics specialists within businesses and corporate functions to design, develop, implement, and scale advanced solutions following best practices to drive measurable business outcomes.
                          Reporting to the Director of Enterprise Data Science, you will work closely with our Businesses, Corporate Functions, Enterprise Architecture, Business Relationship Management, Infrastructure and Enterprise Service Management, Cyber, Data Engineering, Data Governance and Analytics Strategy teams to deploy new capabilities following leading product management and AI system methodologies. You will develop and nurture strong relationships with partners in a variety of different business units across our global portfolio, building an understanding of their needs and how to apply data, analytics and AI techniques to increase scale and operational efficiency, enhance self-service capabilities and elevate the understanding & application of these capabilities across the company.

                          The Junior Data Scientist will partner with internal stakeholders and external partners to build out AI systems and deliver data analytics projects within set timelines. They meet objectives and focus on priorities which drive the successful operation of this Department and ensures alignment with OMERS business and technology strategy.

                          -

                          -

                          As a member of this team, you will be responsible for:

                          -
                            -
                          • Fostering strong relationships among cross-functional teams and facilitating decision making within multi-level audiences. Applying a system thinking approach to lead execution of data, analytics, and AI initiatives quickly and in collaboration with other teams
                          • -
                          • Driving the implementation of corporate/strategic objectives via AI/ML driven projects and seeing opportunities
                          • -
                          • Building ML projects from experiments and hands-on solutioning through to production
                          • -
                          • Implementing model tracking, updating, and auto-train capabilities in addition to accounting for drift and imbalance
                          • -
                          • Building and maintaining NLP models using state of the art techniques like transformers and seq2seq for the purposes of classification, sentiment analysis, entity extraction, and more
                          • -
                          • Driving analytics innovation by posing open ended questions, exploring new ideas, recommending the appropriate techniques to solve challenging business problems and rapid prototyping
                          • -
                          • Developing, deploying, and operationalizing data science products along with the supporting integrated tools and processes, including but not limited to security, performance, scalability, and extendibility
                          • -
                          • Hands on creation and oversight of analytical models, conducting model training, validation, testing, integrated reconciliations and ongoing data and model integrity maintenance
                          • -
                          • -Remaining on the “leading edge” of emerging data, analytics and AI technologies and techniques to identify and implement novel tools and techniques and their application to new use cases and deployment opportunities -
                          • -
                          • Driving a culture of innovation and AI by taking initiatives for activities such as lunch and learns, hackathons, paper readouts, etc.
                          • -
                          -

                          -

                          To succeed in this role, you have:

                          -
                            -
                          • A undergraduate or graduate degree in Computer Science, Engineering, Statistics, Mathematics or any other quantitative field
                          • -
                          • Two (2) years\' experience working in a data science / Machine Learning environment
                          • -
                          • A proven grasp of the practical and theoretical aspects of statistical and deep learning such as data structures, algorithms, gradient descent, probability theory, linear algebra, calculus, hypothesis testing, and more
                          • -
                          • Strong Python programming skills
                          • -
                          • Experience with application development is an asset
                          • -
                          • Strong ETL/ELT experience is an asset
                          • -
                          • Experience with framework such as TensorFlow, Keras, PyTorch, MxNet, and the sci-kit learn library
                          • -
                          • Proficiency with git
                          • -
                          • The ability to build relationships and facilitate across a diverse group of stakeholders in several different business units
                          • -
                          • Demonstrated experience applying product management, design thinking and human centered design
                          • -
                          • Experience implementing pre-built models at scale along with retraining and implementing a custom deep-learning architecture is a strong plus
                          • -
                          • Experience working in the financial sector- ideally banks or investment firms, pension firms, is an asset
                          • -
                          • Experience within Pensions, Investments and Commercial Real Estate sectors are an asset
                          • -
                          • Demonstrated experience applying product management, design thinking and human centered design
                          • -
                          • Polished written and verbal communication and presentation skills targeted at all levels of the organization
                          • -
                          -

                          -

                          -

                          -

                          -

                          Our story:

                          -

                          Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $121 billion in net assets as at December 31, 2021. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                          -

                          -

                          OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                          -
                          ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Data-Scientist_JR-4009?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-02-04T15:41:58.263Z,False,0,24,87,https://talenthub.vectorinstitute.ai/jobs/179960740-junior-data-scientist-at-omers,,expired,2022-12-22T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -c967a0e6-ff37-4a3d-88ad-2a20d5d38380,182853185,Scotiabank,"Manager, Adjudication Data Analytics",on_site,Canada : Ontario : Toronto,2023-01-02T17:22:03.322Z,"

                          -

                          -

                          -

                          -

                          Requisition ID: 169306

                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                          -

                          -

                          Purpose of Job:

                          -

                          -

                          The Adjudication Management function is responsible for working with the Retail and Small Business risk adjudication teams (Loan Adjudication Centres & Loan Underwriting Centres) across the Caribbean region. This function is responsible to peform Data Analytics for the adjudication process considering Operations and Credit Risk.

                          -

                          -

                          Job Responsibilities:

                          -

                          -

                          The Manager, Adjudication Data Analytics C & CA will work closely with the Director Adjudication to ensure that all adjudication teams are aligned in terms of the risk policies and Bank’s Risk Appetite. Key accountabilities include:

                          -

                          -

                          • Develop reports using Data Analytics techniques for the adjudication centres to monitor operational KPIs, loan performance and exception management reporting

                          -

                          • Apply critical thinking to validate improvements with the adjudication units using data and analytics

                          -

                          • Manage analytical inquiries related to executive decisions and conducts root cause analysis of key operational issues, providing guidance and advice towards optimal resolution and mitigation while ensuring a timely and high-quality response.

                          -

                          • Responsible for monitoring the activity of the adjudication teams to provide risk oversight, including providing monthly analysis on early warning indicators, process updates, impact on adjudication from new initiatives or risk policies.

                          -

                          • Participating in key risk initiatives and projects which focus on the key priorities of the Adjudication teams from the data analytics perspective.

                          -

                          • Conducting assessments of the operational activity across the adjudication workflow. It is required that the Manager will provide recommendations for efficiency gains and be responsible for implementing these recommendations leveraging data and analytics.

                          -

                          • Assisting in the preparation of training material and tools for adjudicaiton teams, including communication of changes and updates.

                          -

                          • Working closely with the heads of the adjudication teams and Quality Assurance to identify areas where processes and procedures may need to be developed to improve the overall consistency of credit risk decisions.

                          -

                          • Adherence to lean practices and methodology

                          -

                          • Assist the Director with planning, forecasting, ad hoc requests, research, and strategic projects as they arise

                          -

                          • Responsible for quarterly Cost Allocation Transfer Pricing Expenses for the Adjudication department

                          -

                          • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook, and the Guidelines for Business Conduct

                          -

                          • Champions a high-performance environment and implements a people strategy that attracts, retains, develops, and motivates their team by fostering an inclusive work environment, communicating vison/values/business strategy, and managing succession and development planning for the team

                          -

                          Job Requirements:

                          -

                          -

                          • Minimum bachelor's degree in business, economics, or finance or at least 3 year's working experience in retail banking or risk management
                          • Strong skills with data visualization tools such as Power BI, Tableau, SAS
                          • Experience on data analytics with a solid grasp of reporting practices and performance measurement tools
                          • Strong communication skills
                          • Strategic influencing abilities
                          • Assertive, and driven to be a change agent
                          • Fluent written and spoken English is mandatory
                          • Experience in Retail & Small Business banking, finance, credit risk are assets
                          • Spanish is an asset

                          -

                          -

                          Location(s): Canada : Ontario : Toronto

                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                          ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Adjudication-Data-Analytics-ON-M5H1B6/566371417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-04T16:45:33.759Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/182853185-manager-adjudication-data-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Adjudication-Data-Analytics-ON-M5H1B6/566371417/,expired,2023-01-02T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -7553672c-8af9-4e0d-8f11-8e08ea331e92,183865706,Scotiabank,"Manager, Data and Model Analytics and Reporting, Payment Screening",on_site,Canada : Ontario : Toronto,2023-01-05T17:22:03.876Z,"

                          -

                          -

                          -

                          -

                          Requisition ID: 170490

                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                          -

                          -

                          Job Purpose

                          -

                          The Global Sanctions & Screening Payment team is a risk management function responsible for the governance of sanctions screening solutions globally, enterprise wide. The team leads and oversees Global Sanctions Program’s payment screening solutions management functions, ensuring tuning methodology, rules governance framework, and screening standards are developed, managed, executed, and maintained in compliance with governing regulations, internal bank-wide policies and procedures.

                          -

                          -

                          Is this role right for you? In this role, you will:

                          -

                          Support the sanctions screening solutions management function globally, enterprise-wide:

                          -
                          • Create and/or maintain framework documents, including tuning methodology, rules governance framework, screening standards, and other documentations involving sanctions screening systems and processes
                          • Design and develop analytical solution/tools using SQL, Python or VBA to meet business requirements
                          • Develop a tracking mechanism for documentations owned by Global Sanctions Screening Solutions team, and facilitate periodic updates and approvals to the documentations
                          • Develop deep understanding and subject matter expertise of sanctions screening systems, system capabilities, and relevant processes, as well as product knowledge for payments and trade finance transactions
                          • Develop and/or contribute to data analytics requirements for sanctions screening solutions for payments and trade finance transactions
                          • Develop and maintain an issues log and track issues to closure for each of the sanctions screening systems
                          • Liaise and provide support to the Model Validation team to ensure the success of the annual model validation efforts for sanctions screening systems
                          • Liaise and provide input to the Models & Analytics team to ensure the success of the analytics/reporting and tuning efforts for sanctions screening systems
                          • Facilitate the testing and management reporting on the efficacy and efficiency of the systems
                          • Lead and/or provide support to the efforts of operationalizing Risk Tolerance Frameworks for sanctions screening systems and process; support ongoing tuning effort to review and opine on tuning recommendations, business rules, fuzzy logic exceptions, and etc., and facilitate the documentation and approval process
                          • Consider risk based approach in decision-making process and support risk based approach culture throughout the Global Sanctions Program
                          • Lead and/or contribute to the preparation of regulatory examination or internal audit engagements in a timely manner
                          • Support the management of Sanctions Risk Appetite Framework; develops a deep understanding of the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                          • -
                          -

                          -

                          People and Culture:

                          -
                          • Lead and drive a customer focused culture and deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                          • Build a high performance environment and implements a people strategy that will attract, retain, develop and motivate their team and colleagues by fostering an inclusive work environment; communicating vision/values/business strategy and managing succession and development planning for the team and colleagues.
                          • -Create and foster an environment in which his/her team and colleagues pursue effective and efficient operations, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                          • -
                          -

                          Do you have the skills that will enable you to succeed in this role? - We'd love to work with you if you have:

                          -
                          • Minimum Bachelor’s degree in Computer science, data engineering, or related field.
                          • Minimum 2-3 years in compliance or governance functions in the financial services sector.
                          • In-depth knowledge of regulatory requirements with respect to sanctions or AML.
                          • Strong communication, analytical, organizational, project management, and planning skills.
                          • Advanced and practical skills in programming language including Python, SQL and VBA.
                          • Advanced skills in Microsoft Office suite, including Access, Excel, Project, Visio and PowerPoint.
                          • Knowledge of business, products, operations, systems, and organization for financial services sector.
                          • -
                          -

                          -

                          -

                          Location(s): Canada : Ontario : Toronto

                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                          ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-and-Model-Analytics-and-Reporting%2C-Payment-Screening-ON-M5C2W1/566448517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-04T20:00:51.598Z,False,0,4,16,https://talenthub.vectorinstitute.ai/jobs/183865706-manager-data-and-model-analytics-and-reporting-payment-screening-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-and-Model-Analytics-and-Reporting%2C-Payment-Screening-ON-M5C2W1/566448517/,expired,2023-01-05T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -509aebcd-b71f-46d0-a3f8-f96f4b1bc5c1,190518269,TD Bank Group,Business Insights & Analytics Associate (Graduate),on_site,"Toronto, ON",2023-01-27T17:24:04.578Z,"
                          -

                          Company Overview

                          -
                          -

                          All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                          -

                          TD’s Colleague Promise: A better you. A better us.

                          -

                          A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                          -
                          -

                          -

                          Department Overview

                          -
                          -

                          Our Associate Programs offer new graduates experience within one TD’s many lines of business, and the chance to work alongside experienced colleagues, work on challenging projects and assignments, and receive coaching and mentorship from business leaders and the Early Talent Experience team, to set you up for success in your career at TD.

                          -

                          Associate Role Profile:

                          -
                            -
                          • 1-year in-depth experience, complemented by programming, coaching, tools and support
                          • -
                          • This role is a full-time permanent position
                          • -
                          -

                          In addition, as an Associate you have access to programming, tools and a community of support for your pursuits and interests beyond the 9-5. This includes leadership talks, lunch and learns, self-development workshops, TD sponsored conferences, socials, team challenges, volunteer opportunities, career coaching and more. You will be part of a cohort along with other TD Associates from across Canada! If one of our over 20+ Associate programs is of interest to you, please read on and apply today.

                          -
                          -

                          -

                          Job Description

                          -
                          -

                          JOB DESCRIPTION

                          -

                          The Data & Analytics Associate Program is a 1-year enhanced development opportunity in analytics and data. The Business Insights & Analytics Associate will perform a variety of activities, which may include:

                          -
                            -
                          • Perform data queries and prepare data sets for analysis/modelling, including cleaning data and feature engineering
                          • -
                          • Analyze large data sets and identify trends and insights to inform business decisions; communicate findings to technical and non-technical audiences
                          • -
                          • Collaborate with team members and business partners to develop, test and deploy analytics solutions, for example: forecasting, optimization, or pricing models
                          • -
                          • Proactively identify business problems and opportunities where a data-driven solution would be appropriate and develop proposals / approaches
                          • -
                          • Collaborate with business partners to support the business case development process for analytics solutions
                          • -
                          -
                          -

                          -

                          Requirements

                          -
                          - -

                          Must have strong leadership qualities including demonstrating initiative, establishing priorities and using strong communication, analytical and problem-solving skills to add value to each initiative, project or team assigned to. Able to participate as part of a team with targeted deliverables, working on initiatives designed to improve decisions, processes, systems, and applications which support our key businesses. Remain current with emerging trends and technologies in this field.

                          -
                          -

                          -

                          Additional Information

                          -
                          -

                          ADDITIONAL INFORMATION

                          -
                            -
                          • Application Deadline: February 5th, 2023
                          • -
                          • Anticipated Start Date: July 2023
                          • -
                          • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                          • -
                          • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                          • -
                          • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                          • -
                          • TD is committed to providing you with the best candidate experience in these unique circumstances. As such, work location and start dates are subject to change.
                          • -
                          -

                          HOURS

                          -

                          Monday-Friday, standard business hours.

                          -

                          INCLUSIVENESS

                          -

                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                          -
                          -

                          -

                          Hours

                          -
                          37.5
                          -

                          -

                          Start Date

                          -
                          – Summer
                          -

                          -

                          Inclusiveness

                          -

                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                          -

                          -
                          ",,https://jobs.td.com/en-CA/jobs/17556951/business-insights-analytics-associate-graduate-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-07T23:09:00.000Z,False,0,3,8,https://talenthub.vectorinstitute.ai/jobs/190518269-business-insights-analytics-associate-graduate-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17556951/business-insights-analytics-associate-graduate-toronto-ca/,expired,2023-01-27T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -d3f41e2d-6454-441c-ab43-437141ef7f0a,190518272,TD Bank Group,Risk Management Intern/Co-op (8 Months),on_site,"Toronto, ON",2023-01-27T17:24:04.802Z,"
                          -

                          Company Overview

                          -
                          -

                          All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                          -

                          Why TD?

                          -

                          TD’s Colleague Promise: A better you. A better us.

                          -

                          A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                          -
                          -

                          -

                          Department Overview

                          -
                          -

                          Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                          -

                          Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                          -
                            -
                          • Leadership talks with key Leaders from across the organization
                          • -
                          • Lunch and Learns on topics such as Innovation
                          • -
                          • Diversity and Inclusion and Personal Branding and so much more
                          • -
                          -

                          For TD Bank Group to grow profitably, it must selectively take and manage risks. TD recognizes that a strong risk culture and approach to risk management is fundamental to our success.

                          -

                          TD’s risk management approach is comprehensive and proactive and combines experience and specialized knowledge of individual business segments, risk professionals, and the corporate oversight functions. It is based on enabling TD’s business to understand their risks and developing the policies, processes and controls required to manage these risks appropriately in line with the Bank’s strategy and risk appetite.

                          -
                          -

                          -

                          Job Description

                          -
                          -

                          Risk Management is a key Corporate Function supporting the front-line businesses within TD with over 1,800 employees in offices in Canada, United States, UK and Singapore. We partner internally with many different areas of TD as well as our business partners to ensure we exceed our client’s expectations, and employees to focus on a positive employee experience. We work externally with regulators to align with industry standards and benchmark ourselves against best practices.

                          -

                          As a student part of the TD Risk Management Co-op program you will have the opportunity to join different development workshops, seminars and lunch and learns. We will provide you the necessary tools, resources and guidance to achieve both business and personal goals.

                          -
                          -

                          -

                          Requirements

                          -
                          -
                            -
                          • Currently enrolled in an undergraduate degree majoring in Business, Statistics, Mathematics, Financial Analysis, Risk Management, Computer Science or equivalent
                          • -
                          • Must be enrolled in an undergraduate degree with the intent of going back to school at of the start of your work term
                          • -
                          • Familiarity with SAS
                          • -
                          • Relational database SQL skills for data mining, extraction and statistical analysis.
                          • -
                          • Strong excel Advanced MS Excel and MS Access for data analysis (Pivot, Filter, Formulas, Vlookup, VBA)
                          • -
                          • Dedicated, detail oriented, and an ability to propose creative solutions
                          • -
                          • Written & verbal communication skills
                          • -
                          • Quick learner
                          • -
                          • High degree of personal initiative
                          • -
                          • MS Project
                          • -
                          -

                          Skills that are not required, but considered an asset

                          -
                            -
                          • Knowledge of Financial Industry/Risk Management/Retail Credit products
                          • -
                          • Experience using Business Intelligence Reporting tools such as SAP Business Objects, Cognos or Tableau
                          • -
                          • Microsoft Visio would be an asset
                          • -
                          • Knowledge of R and HIVE
                          • -
                          • Knowledge of Basel Capital Frameworks Quality Center (HP ALM) Testing tool
                          • -
                          • MS Project
                          • -
                          -
                          -

                          -

                          Additional Information

                          -
                          -

                          Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.

                          -
                            -
                          • This position is an 8-month work term and will commence May 1st – Dec 22nd, 2023
                          • -
                          • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                          • -
                          • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                          • -
                          • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
                          • -
                          -

                          LOCATION
                          Potential of “Flexible Hybrid” work centered in Toronto, with the ability to support remote work within the TD footprint. TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements.

                          -
                          -

                          -

                          Hours

                          -
                          37.5
                          -

                          -

                          Start Date

                          -
                          – Summer
                          -

                          -

                          Inclusiveness

                          -

                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                          -

                          -
                          ",,https://jobs.td.com/en-CA/jobs/17668931/risk-management-intern-co-op-8-months-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-07T23:10:00.000Z,False,0,4,11,https://talenthub.vectorinstitute.ai/jobs/190518272-risk-management-intern-co-op-8-months-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17668931/risk-management-intern-co-op-8-months-toronto-ca/,expired,2023-01-27T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, fa3a3dc9-1ce0-4459-80b1-eb27e1f478e3,187198852,AltaML, Business Development Associate,hybrid,"Calgary, AB, Canada",2023-01-16T00:24:35.084Z,"

                          This opportunity is for current students looking for work experience in Summer 2023 (May - August). These are MITACS funded internships and successful applicants will be based off their eligibility to receive funding.

                          AltaML is a fast-growing scaleup that focuses on applied Machine Learning (ML). We see AI as the next step forward in unlocking the best in all industries - and people. We are experts in ML commercialization and help our industrial partners gain a competitive advantage by combining their data and domain expertise with our analytics and ML proficiency. Data informs our every move, and we aim to work quickly, collaboratively, and creatively. We have offices in Edmonton, Calgary and Toronto.

                          AltaML works with progressive partners in industries such as Health, Financial Services and Natural Resources. Sure, we are a tech company, so we offer a well-stocked kitchen including good coffee, sparkling water, and snacks. We are an office filled with foodies and enjoy experiencing different flavours from around the world. We also offer Welcome Lunches, Friday Socials, hot sauce tastings and so much more! We are a company like no other – we believe in making small bets, failing fast, and being better together.

                          We are looking for a Business Development Associate to work closely with our Business Development Managers to identify and define high business value machine learning opportunities and support our sales goals.

                          AltaML is working with new technologies, and no one is standing still when it comes to learning. As long as you are continuing to push your growth and development, then consider applying even if you don’t check all the boxes on our posting.

                          What You'll Do:

                              @@ -286663,161 +295242,181 @@ baaf00d4-7397-42c8-8493-ed11a5572f78,212269078,BMO Financial Group,"Digital Stra

                              Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Digital-Strategy---Insights-Analyst--Summer-2023--Co-o-Internship--4-months_R230003404?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa&company=99ba898c88ac011c8a873c01f2016c06,feed-importer@jobboard.io,https://jobs.bmo.com/ca/en,,,2023-04-06T21:05:00.000Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/212269078-digital-strategy-insights-analyst-summer-2023-co-o-internship-4-months-at-bmo-financial-group,,expired,2023-04-04T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -85e541e4-e881-49ee-882e-64eb5b70832d,232857480,BMO Financial Group,Senior Analyst Business Analytics,on_site,"Ontario, Canada",2023-06-05T15:39:01.835Z,"
                          -

                          Application Deadline:

                          06/22/2023

                          -

                          -

                          Address:

                          100 King Street West

                          -

                          -

                          Job Family Group:

                          Data Analytics & Reporting

                          -

                          -

                          -

                          -
                          -
                          The Senior Analyst, Data Foundations & Infrastructure is accountable for development and maintenance of key foundational datasets to enable timely, relevant, and comprehensive reporting and analysis in support of the BMO Commercial Bank. This role performs complex end-to-end analysis to support business requirements. Includes execution on requirements and making recommendations for improvements. Act as COE/SME on area of expertise.
                          -
                          -

                          -

                          The Senior Analyst, Data Foundations & Infrastructure will develop and maintain standard reports and analyze and identify key trends for the BMO Commercial Bank line of business. The role is responsible for performing data extraction, aggregation, transformation, management, and quality reviews of data from multiple data sources for use in reporting and analytics. Data quality is key and any identified issues should have a well defined remediation plan in place. The role requires strong communication skills to work with business partners to explain trends as well as the source of data utilized in reporting. Strong documentation around processes and reporting is required.

                          -

                          -

                          This role will also collaborate with members of key BMO Commercial groups to ensure that data is provided as required on a timely basis.

                          -

                          -

                          Knowledge

                          +cef6108d-8de6-4062-ad75-046e04a40635,222289691,Google,"Analytical Lead, Large Customer Sales",on_site,"Toronto, ON, Canada",2023-05-04T17:20:02.757Z,"
                          +
                          +2023-05-03T13:01:04.164Z
                          +
                            +
                          • Share
                          • +
                            Save +
                          • +

                          Analytical Lead, Large Customer Sales

                            +
                          • Google
                          • +
                          • In-office:
                            + Toronto, ON, Canada +
                          • +
                          +
                          +

                          Qualifications

                          +

                          Minimum qualifications:

                            -
                          • University degree in math, finance, economics or business-related field
                          • -
                          • 3-5+ years of direct experience in a related role within the financial services industry with a focus on data management and analytics
                          • -
                          • Strong knowledge of database programs (SQL)
                          • -
                          • Solid knowledge of planning, coordinating, multi-tasking, and analysis
                          • +
                          • Bachelor\'s degree or equivalent practical experience.
                          • +
                          • 8 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.
                            +
                          -

                          -

                          Skills

                          +

                          Preferred qualifications:

                            -
                          • Strong interpersonal and management skills
                          • -
                          • Proven ability to create, manipulate and extract information from large data sets
                          • -
                          • Detail oriented with good organizational skills
                          • -
                          • Ability to work under pressure and tight timeframes
                          • -
                          • Ability to work well in a team environment
                          • +
                          • Experience using search engine marketing (e.g., Google Ads), website analytics platforms (e.g., Google Analytics and other measurement suite products), and brand analysis techniques (e.g., upper funnel analysis).
                            +
                          • +
                          • Experience using SQL to extract and manipulate data, or other programming or scripting languages (e.g., R, Python, C++, etc.).
                            +
                          • +
                          • Experience with marketing analytics, return on investment/financial modeling, and statistical analysis.
                            +
                          • +
                          • Experience with spreadsheet software and presentation applications.
                            +
                          • +
                          • Ability to analyze large datasets and translate them to actionable insights.
                            +
                          +
                          +
                          +
                          +

                          About the job

                          +

                          Businesses that partner with Google come in all shapes, sizes and market caps, and no one Google advertising solution works for all. Your knowledge of online media combined with your communication skills and analytical abilities shapes how new and existing businesses grow. Using your relationship-building skills, you provide Google-caliber client service, research and market analysis. You anticipate how decisions are made, persistently explore and uncover the business needs of Google\'s key clients and understand how our range of product offerings can grow their business. Working with them, you set the vision and the strategy for how their advertising can reach thousands of users.

                          +

                          As an Analytical Lead, you will be a strategic analyst, advisor, and consultant, providing data supported insights to clients and agencies to help improve their business. You will also influence teammates and clients in how they think about measuring the value that they get from their marketing efforts.

                          +

                          Our Large Customer Sales teams partner closely with many of the world’s biggest advertisers and agencies to develop digital solutions that build businesses and brands. We enjoy a bird’s eye view on the massive transformation occurring as advertising shifts to mobile and online platforms. We\'re uniquely situated to help shape how companies grow their businesses in the digital age. We advise clients on Google\'s broad range of products across search, video and mobile to help them connect instantly and seamlessly with their audiences.

                          +
                          +
                          +
                          +

                          Responsibilities

                            +
                          • Build and own client relationships with media and analytic stakeholders. Influence investment and measurement decisions based on impact to client businesses and craft recommendations that lead to client action.
                            +
                          • +
                          • Lead the development and execution of client-specific measurement plans that define a roadmap to improving measurement maturity.
                            +
                          • +
                          • Quantify the impact of Google media on client business objectives using measurement methodologies like attribution, experiments, and marketing mix models.
                            +
                          • +
                          • Design and perform analyses that uncover growth opportunities for client business objectives and drive adoption of measurement and attribution solutions to better value Google and non-Google media.
                            +
                          • +
                          • Build ways to solve common client business needs and share best practices (e.g., analysis, tools, frameworks) and client successes across industries.
                            +
                          • +
                          +
                          +

                          Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                          Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and Know your rights: workplace discrimination is illegal. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                          To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                          At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                          We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                          Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                          +
                          +
                          +
                          ",,"https://careers.google.com/jobs/results/117212497133347526-analytical-lead-large-customer-sales/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-06-03T18:31:08.202Z,False,0,2,32,https://talenthub.vectorinstitute.ai/jobs/222289691-analytical-lead-large-customer-sales-at-google,,expired,2023-05-04T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Team Lead,Bachelors Degree,New Posting, +846e0c2e-2888-4ce6-9d0e-4f0feaafb9e0,226982051,RBC,"Senior Manager, Everyday Banking Analytics",on_site,"Toronto, ON, Canada",2023-05-18T15:47:02.437Z,"
                          +

                          Come Work with Us!

                          At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                          Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                          +

                          Job Title

                          Senior Manager, Everyday Banking Analytics

                          -

                          Responsibilities

                          -

                          A. Data Management

                          -
                            -
                          • Act as the subject matter expert on the development and management of BMO Commercial data and provide guidance to respond to the evolving needs of the business.
                          • -
                          • Develop business and system specifications relating to performance monitoring, dashboard feeds and other MIS initiatives
                          • -
                          • Oversee all major data production problems through to resolution. Identify and recommend appropriate safe guards to prevent reoccurrence of issues.
                          • -
                          +

                          Job Description

                          +

                          What is the opportunity?

                          +

                          Our Vision is to be Canadians’ leading choice for all payment and everyday banking activities, extending our market leading position through superior value, innovation, and differentiated experiences that drive acquisition and engagement.

                          +

                          In this role, you will be using data and analytics to improve our understanding of client behaviours, as well as improve in-market strategies and inform the design of our suite of products.

                          +

                          You will be working collaboratively with the broader Banking and Payments team, and use advanced analytical tools and multiple data sources (e.g. client segment data, bureau data, client behaviour data across all RBC products, online and mobile interaction data) in order to formulate strategies that optimize the business, enhance product construct, and provide value to our customers. Finally, you will be responsible for designing dashboards to support business reviews with Executives and complete deep dives to explain key trends and identify strategic opportunities.

                          -

                          B. Monthly Revenue Processing

                          +

                          What will you do?

                            -
                          • Maintain effective relationship with internal partners, and reporting & analytics teams
                          • -
                          • Accountable for the production of revenue data set processing
                          • +
                          • Leverage complex data to provide analytics and strategic insights for business decisions and to explore new opportunities for Banking and Payments, including
                              +
                            • Detailed understanding of the product and segment analytics and financials
                            • +
                            • Business insight into acquisition and retention activities, channel performance and market share
                            • +
                            • Information in support of business optimization and business cases
                            • +
                            • Deep dives on new product innovation
                            • +
                            • Special projects as assigned
                            -

                            C. Analytics

                            -
                              -
                            • Review and resolve data issues, utilizing appropriate analytical approaches
                            • -
                            • Conduct analytics for new products and processes, understand key implications from the output and develop recommendations to enhance data set processing
                            • + +
                            • Work collaboratively with the Banking and Payments leadership team, and other analytics teams across the organization to enhance business decision-making through use of reporting, advanced analytics and combining multiple sources of data to measure key indicators of performance and early detection of opportunities, trends & anomalies.
                            • +
                            • Monitor and evaluate strategy effectiveness through the implementation of various tests (e.g. foundational testing, price optimization tests) and analysis on previous in-market tests and strategies.
                            • +
                            • Create materials to communicate the insights developed either through new monthly / quarterly reporting or specific stakeholder presentations and working sessions.
                            • +
                            • Work effectively with key stakeholders throughout the analytics and insights process to deliver high quality results aligned to the needs of the business.
                            -
                          -
                          -

                          -

                          -

                          -

                          We’re here to help

                          -

                          -

                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                          -

                          -

                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                          -

                          -

                          To find out more visit us at https://jobs.bmo.com/ca/en.

                          -

                          -

                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                          -

                          -

                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                          -
                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Senior-Analyst-Business-Analytics_R230009865?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-06-26T23:29:00.000Z,False,0,3,25,https://talenthub.vectorinstitute.ai/jobs/232857480-senior-analyst-business-analytics-at-bmo-financial-group,,expired,2023-06-05T15:39:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -3da26fcb-5aad-4c82-81e7-880765b9ecf9,237622616,Scotiabank,"Data Scientist, Financial Crimes Risk Mgmt. Models & Analytics, Client Risk Rating , 12M Contract",on_site,Canada : Ontario : Toronto,2023-06-19T15:52:03.348Z,"

                          -

                          -

                          -

                          -

                          Requisition ID: 179464

                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                          -

                          -

                          Purpose of Job
                          We are seeking a highly analytical and skilled Data Scientist to join our team. The ideal candidate will have a strong background in data analysis, statistical modelling, and machine learning. The Data Scientist will be responsible for designing, enhancing, and implementing data-driven solutions supporting the Bank's AML/ATF Client Risk Rating models.
                          This role contributes to the overall success of Global Risk Management’s AML/ATF team by analyzing and improving client risk rating models thereby enhancing operating efficiency and is conducted in compliance with governing regulations, internal policies, and procedures.

                          -

                          Key Job Accountabilities
                          • Apply range of modeling techniques from basic statistical models to AI and Machine Learning, to develop, maintain and implement models for client risk rating case generation in support of Scotiabank’s AML/ATF program
                          • Creation and maintenance of documentation for models and for the results data analysis
                          • Collaborating and coordinating with teams from model validation, internal audit, and external audit to ensure that models meet all legal and regulatory requirements
                          • Communicate complex data findings and insights to technical and non-technical stakeholders
                          • Support the communication with first and second lines of business and other stakeholders, and recommending changes to AML/ATF client risk rating models as appropriate
                          • Support the communication with model users to ensure that model limitations are properly understood, and that models meet model governance/usage requirements

                          -

                          Skills, Experiences and Functional Competencies
                          • Experience with statistical modeling and data science methods; programming in Python (familiarity working with popular libraries for data science, machine learning, and visualization: such as Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn, ggplot2), querying using SQL or any SQL-like language is preferred, experience with Apache Spark is beneficial
                          • Experience with databases such as Oracle or SQL Server, as well as big data technologies such as Hadoop, Hive, Spark, or other distributed computing frameworks
                          • Experience with cloud-based infrastructure and tools, (specifically GCP) and either Linux and/or BitBucket is beneficial
                          • Nice to have experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch
                          • Strong communication (both oral and written) and collaboration skills, with the ability to work effectively in a hybrid team environment

                          -

                          Education and Other Requirements
                          • Bachelor’s degree or higher within STEAM, (science, technology, engineering, analytics, or mathematics), statistics, data science, artificial intelligence, computer science, computer engineering, financial modelling or related
                          • Fluency in both English and Spanish is preferred

                          -

                          -

                          Location(s): Canada : Ontario : Toronto

                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                          ",,https://jobs.scotiabank.com/job/Data-Scientist%2C-Financial-Crimes-Risk-Mgmt_-Models-&-Analytics%2C-Client-Risk-Rating-%2C-12M-Contract/571344417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-26T15:57:02.883Z,False,0,12,46,https://talenthub.vectorinstitute.ai/jobs/237622616-data-scientist-financial-crimes-risk-mgmt-models-analytics-client-risk-rating-12m-contract-at-scotiabank,https://jobs.scotiabank.com/job/Data-Scientist%2C-Financial-Crimes-Risk-Mgmt_-Models-&-Analytics%2C-Client-Risk-Rating-%2C-12M-Contract/571344417/,expired,2023-06-19T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -29ec1b65-122e-4e3b-a2d9-75f1ee6303df,237622613,Scotiabank,Data Scientist,on_site,Canada : Ontario : Toronto,2023-06-19T15:52:02.968Z,"

                          -

                          -

                          -

                          -

                          Requisition ID: 179847

                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                          -

                          -

                          The successful candidate will be part of a dynamic, innovative team that supports the Marketing Analytics & Product functions within Scotiabank’s Canadian Bank Analytics group. The individual will develop statistical models, data-mining and analytical solutions to solve a wide array of business problems, including how to drive acquisition, migration and engagement strategies across our customer base.

                          -

                          -

                          Scotiabank provides a collaborative work environment where you get to see end-to-end how your work can shape and define strategies. We will provide you the opportunities to gain exposure to different businesses across the organization, a wide variety of analytical tools that will allow you to build complex decision engines and predictive models, work with big data, structured and un-structured.

                          -

                          -

                          What will you do in this role?

                          -

                          ● Design and integrate customer segmentation, channel analytics, campaign optimizations and recommendation/decision engines to help elevate our customer’s experiences across various channels and move to a personalized 1:1 customer journey
                          ● Synthesize data across multiple platforms to identify trends and deliver key insights and business recommendations around a customer-first approach to driving engagement and results across our marketing channels and campaigns, to then bringing these recommendations to market through execution and measurement
                          ● Act as a modelling and analytics generalist, provide subject matter expertise on modelling/segmentation, advanced analytics, data mining and statistical analysis to internal stakeholders
                          ● Ability to validate and measure effectiveness of customer/channel/campaign strategies to continually make ongoing changes and improvements
                          ● Supporting key information technology initiatives, such as enhancements in single view of customer, customer/ channel data warehouse, CRM and campaign management tools
                          ● Effectively communicate results of highly technical projects to stakeholders and deliver high quality, high impact analytical solutions to business problem

                          -

                          -

                          Do you have the skills that will enable you to succeed?

                          -

                          ● Analytical background: preferably Master or PhD degree with a quantitative focus, such as statistics, applied mathematics, economics, computer science
                          ● 5 years of related experience needed, preferably within a financial, retail or consulting industry, customer segmentation and channel analytics an asset
                          ● Demonstrated experience of developing and implementing statistical models (predictive & descriptive) and advanced analytics with hands-on experience with Python, SAS and Google Cloud Platform (BigQuery, Looker and Vertex AI etc.)
                          ● Experience with relational databases and solid SQL skills (SQL Server, DB2, MySQL)
                          ● Experience with Bash/Unix Shell Scripts with Python/Docker/Airflow used for automating tasks
                          ● Familiar with container-based deployments using Docker, working with Docker images, Docker Hub and Docker-registries and Kubernetes.
                          ● Familiar with Hadoop Big Data ecosystem (Hive, Spark, Pig, Sqoop) an asset.
                          ● Demonstrated experience developing and implementing recommendation engines in a multi-channel marketing environment an asset
                          ● Strong business acumen: understanding of business and financial models and ability to link communication tactics to strategic objectives from a financial perspective
                          ● Self-motivated, strong quantitative skills, attention to detail, a high aptitude for problem solving and a natural interest in understanding customer behavior

                          -

                          -

                          What's in it for you?

                          -

                          ● We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                          ● We provide you with the tools and technology needed to succeed
                          ● You'll get to work with and learn from diverse industry leaders
                          ● We offer a competitive total rewards package that includes a base salary, a performance bonus, company matching programs (on pension & profit sharing), 4 weeks of vacation, personal & sick days, paternity/maternity leave top-ups and much more.

                          -

                          -

                          Location(s): Canada : Ontario : Toronto

                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                          ",,https://jobs.scotiabank.com/job/Data-Scientist/571381417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-26T15:57:02.883Z,False,0,11,84,https://talenthub.vectorinstitute.ai/jobs/237622613-data-scientist-at-scotiabank,https://jobs.scotiabank.com/job/Data-Scientist/571381417/,expired,2023-06-19T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -e6ceb188-3673-4400-a109-5ab696c68bd4,236452260,TD Bank Group,Data Scientist II,on_site,"Toronto, ON",2023-06-15T15:53:02.219Z,"
                          -

                          Company Overview

                          -
                          -

                          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                          -

                          Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                          -
                          -

                          -

                          Department Overview

                          -

                          The Analytics and Information Management team supports the entire Canadian Auto Finance organization with reporting, data consulting, strategy and ad-hoc analyses from product development, sales and loan acquisition to operations and servicing customers.
                          This position offers an excellent opportunity to learn about and be at the forefront of a highly dynamic and growing business while supporting a multitude of critical initiatives across TDAF Canada.

                          +
                          • Provide concise, timely and insightful reporting to senior management on relevant matters relating to Banking and Payments portfolio.

                          -

                          Job Description

                          -
                          -

                          About this Role

                          -

                          Reporting to the Senior Manager – Analytics & Information Management – the Data Scientist will engage with all levels of the TD Auto Finance team and utilize their skills to provide value added information to business stakeholders.

                          +

                          What do you need to succeed?

                          +

                          Must have:

                            -
                          • Utilize business and TD enterprise data along with machine learning methods to build models that predict certain customer behaviors (for example: defaults, loan prepayments, new car purchases, mobile app behavior etc.).
                          • -
                          • Work with business partners on initiatives and projects. Provide consultation and recommendations by highlighting impacts from a quantitative point of view.
                          • -
                          • Pro-actively identify opportunities for the business to maximize shareholder value through provisioning of analytics discovery and business insights.
                          • -
                          • Support a positive work environment that promotes service to the business, quality, innovation, and teamwork; ensure timely communication of issues/ points of interest.
                          • -
                          • Prepare Management summaries highlighting the outcome of the validation process for each model and ensuring the appropriate use of risk models. Identify the need to implement new models/techniques to manage risk as industry standards evolve.
                          • -
                          • Work with team members to enhance current profitability and pricing models.
                          • -
                          • Provide ad hoc support to Senior Manager in strategic and tactical initiatives as required.
                          • -
                          • Establish and maintain productive working relations with all stakeholders.
                          • +
                          • Strong analytical skills with the ability to interpret complex data and make data-based strategic decisions, while looking for opportunities to innovate.
                          • +
                          • Proficiency with data manipulation and analytical tools including Excel, SQL, SAS, Tableau, Python.
                          • +
                          • Proven ability to collaborate with a diverse set of stakeholders in defining and solving business problems.
                          • +
                          • Ability to be effective and equally conversant in business and technical environment.
                          • +
                          • University degree in a quantitative field of study (e.g., statistics, economics, business, engineering) to demonstrate ability for critical thinking & numerical analytics.
                          • +
                          • 5+ years related work experience in analytics, product or quantitative strategy roles.
                          -

                          -

                          Requirements

                          -
                          -What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                          +

                          Nice to have:

                            -
                          • The ideal candidate would have extensive work experience building predictive models with machine learning methods in Python or R.
                          • -
                          • Experience combining data from different databases. Experience discovering and understanding new data elements by utilizing metadata and testing.
                          • -
                          • Strong relationship building skills, ability to collaborate effectively with teams across TDAF and the Bank.
                          • -
                          • Experience in data mining, financial models and data visualization tools (SQL, Tableau, and Excel).
                          • -
                          • Experience building presentations and presenting the findings to upper management.
                          • -
                          • Minimum 5 years in an analytical or consulting role.
                          • -
                          • Demonstrated experience of developing and implementing statistical models (predictive & descriptive)
                          • -
                          • Demonstrated experience in delivering high quality, high impact analytical solutions to business problems
                          • -
                          • Banking or Auto Finance experience is strongly preferred.
                          • -
                          • University Degree combined with data science education preferred.
                          • +
                          • Experience in building financial models /valuations
                          • +
                          • Experience with statistical tools, test design, and predictive analytics
                          -
                          -

                          -

                          Additional Information

                          -
                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                          -

                          #LI-Hybrid #datascientist

                          -

                          Hours

                          -
                          37.5
                          +

                          What’s in it for you?

                          +

                          We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                          +
                            +
                          • Ability to make a difference and lasting impact
                          • +
                          • Work in a dynamic, collaborative, progressive, and high-performing team
                          • +
                          • Opportunities to do challenging work
                          • +

                          -

                          Inclusiveness

                          -

                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                          -
                          ",,https://jobs.td.com/en-CA/jobs/17931454/data-scientist-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-06-29T19:29:00.000Z,False,0,11,68,https://talenthub.vectorinstitute.ai/jobs/236452260-data-scientist-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17931454/data-scientist-ii-toronto-ca/,expired,2023-06-15T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +

                          Job Summary

                          +

                          Address:

                          TORONTO, Ontario, Canada

                          City:

                          CAN-ON-TORONTO

                          Country:

                          Canada

                          Work hours/week:

                          37.5

                          Employment Type:

                          Full time

                          Platform:

                          Personal and Commercial Banking

                          Job Type:

                          Regular

                          Pay Type:

                          Salaried

                          Posted Date:

                          2023-05-17

                          Application Deadline:

                          2023-06-02
                          +

                          Inclusion and Equal Opportunity Employment

                          +

                          At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                          ​​​​​​​
                          We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                          +
                          +

                          Join our Talent Community

                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                          +
                          ",,https://jobs.rbc.com/ca/en/job/R-0000059415/Senior-Manager-Everyday-Banking-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-06-05T15:52:03.314Z,False,0,3,6,https://talenthub.vectorinstitute.ai/jobs/226982051-senior-manager-everyday-banking-analytics-at-rbc,,expired,2023-05-18T15:47:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +beb719dc-38b4-45ad-9a72-0180d5d35c9f,226183786,TD Bank Group,Senior Business Intelligence and Reporting Analyst,on_site,"Toronto, ON",2023-05-16T15:53:05.712Z,"
                          +

                          Company Overview

                          +
                          +

                          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                          +

                          Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                          +
                          +

                          +

                          Department Overview

                          +

                          In partnership, Protect Platform – Fraud Strategy and North American Fraud Operations are the enterprise-level teams within TD Bank Group providing 1st line of defense and protection of TD customers, shareholders and employees from financial crimes and fraud. The TD Protect Platform – Fraud Strategy team leads TD’s enterprise-wide fraud strategy, develops and evolves enterprise policies, advanced analytics and threat monitoring capabilities to improve governance, oversight and collaboration between fraud management, TD Product leaders/teams whose businesses experience fraud activities and other control functions within the Bank.

                          +

                          +

                          Job Description

                          +
                          +

                          Reporting to the Senior Manager, Business Insights and Analysis, Protect Platform – Fraud Strategy, the Senior Business Intelligence and Reporting Analyst provides value-added support by leveraging data and insights to continuously enable ways to effectively and efficiently articulate Fraud Strategy’s consolidated business and fraud loss performance stories – including our value as a business within TD, holding ourselves accountable to our performance objectives and providing timely updates about progress to relevant stakeholders. The ideal candidate will demonstrate proficiency with data analysis and interpretation, with demonstrated ability to communicate quantitative/qualitative information and key messages in a clear, compelling way (storyboarding with numbers and illustrative design) that is flexible to suit different audiences (from executive to business-line level).

                          +

                          Key accountabilities include:

                          +
                          • Craft end-to-end and present Fraud Strategy information (i.e., operational and financial) through running and maintaining processes supporting BI visualizations, dashboards, slides, etc. for executive leader/business partner consumption – able to blend multiple data sources from existing data infrastructure, localized datamarts and external data sources / comfortable using various tools (PowerPoint, Excel, Tableau, SQL, Power BI, Alteryx, other) as warranted/practical given the nature of the deliverables.
                          +
                            +
                          • Develop noteworthy and relevant commentary/insights and/or analysis on new and existing Fraud Strategy BI deliverables to inform key stakeholders (i.e., existing or researching potentially improved CAN & US Fraud Prevent/Detect/Respond metrics and measures, Key Performance Indicators, Objectives & Key Results).
                          • +
                          • Understand Fraud business operations, drivers, definitions, taxonomy and metrics for both CAN & the US in order to interpret noteworthy findings, communicate the what/why/so-what/now-what implications of those findings.
                          • +
                          • Initiate & own the work effort to review & validate the quality and integrity of the data included in all BI deliverables, providing appropriate quality control to ensure comprehensiveness, efficiency and accuracy of information being provided while following the team’s business/data governance requirements & best practices.
                          • +
                          • Maintain expert knowledge and inventory of all main data sources used within the Fraud Strategy & North American Fraud Operations business units, with the ability to leverage/integrate data as required. Lead efforts to continuously enhance, improve or automate data &/or reporting processes within the team.
                          • +
                          • Work independently as the senior analyst / SME and provide technical support to others as needed.
                          • +
                          • Collaborate and lead discussions with business partners to understand business objectives and resolve problems/issues, in order to provide fact-based analytical advice and value-added Fraud Strategy BI deliverables (including ad hoc data extracts) or assist in next year’s planning (to understand and execute any changes to metrics & dashboards or allows the business to track additional metrics as required).
                          • +
                          • Maintain & regularly review documentation for assigned processes and participate in cross-training to support the team’s succession planning.
                          • +
                          • Continuously enhance own knowledge / expertise in assigned areas, growing knowledge of Fraud and Cyber Security matters, keep current on both technical and functional knowledge (i.e., emerging trends, reporting & BI tools, visualization techniques, platforms and technologies).
                          • +
                          • Contribute to a positive work environment which fosters ongoing teamwork. Build and maintain positive working relationships with internal & external business partners by leveraging established engagement models.
                          • +
                          +
                          +

                          +

                          Requirements

                          +
                          +
                            +
                          • Ideal candidate should have 4+ years of experience in business reporting/business insights and analysis development, is knowledgeable and savvy with new technology and tools preferably within the global financial services / financial crimes and fraud management industries;
                          • +
                          • Very strong proficiency in using business intelligence, analytics and/or data visualization tools (e.g., Tableau, Power BI, Alteryx, think-cell, etc.) – exposure to programming and data environments (e.g., SQL, VBA, SAS, Hadoop, R, Python, etc.) considered an asset;
                          • +
                          • Very strong comfortability accessing large data sources, performing mining, extractions and manipulations to uncover relevant data findings and big-picture stories;
                          • +
                          • Strong working knowledge of MS Excel, MS PowerPoint, MS Access, MS Word, MS Outlook;
                          • +
                          • Strong analytically-anchored problem-solving skills – a logical and strategic thinker with strong critical reasoning skills, proactively identifies risks and issues, recommends solutions, challenges the status quo;
                          • +
                          • Energetic, enthusiastic, pro-active self-starter – willing to “roll up the sleeves” to deliver results in the short-term while building for the long-term; agile, adaptable, “can-do” attitude, high degree of responsiveness and initiative;
                          • +
                          • Strong oral and written skills, and demonstrated ability to digest complex information and summarize in a clear, concise fashion (for executive-level consumption);
                          • +
                          • Demonstrated relationship building skills – proficient collaborator who successfully engages colleagues, business-line and infrastructure/support partners in a matrix environment, makes things happen through using positive influence;
                          • +
                          • Robust organizational skills, able to work in a fast-paced environment and manage multiple deadlines and priorities, with a proven track record of executing with excellence and making an impact.
                          • +
                          +
                          • University/College education with a focus on Finance, Commerce, Business, Statistics, Mathematics, Business Analytics – has or is working towards a designation.
                          +
                          +

                          +

                          Additional Information

                          +
                          #tdcybersecurity #LI-Post
                          +

                          +

                          Hours

                          +
                          37.5
                          +

                          +

                          Inclusiveness

                          +

                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                          +

                          +
                          ",,https://jobs.td.com/en-CA/jobs/17666431/senior-business-intelligence-and-reporting-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-06-05T15:58:03.406Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/226183786-senior-business-intelligence-and-reporting-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17666431/senior-business-intelligence-and-reporting-analyst-toronto-ca/,expired,2023-05-16T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, d643ec1f-12a3-4d6d-a181-b480226faea5,158158126,Bell Canada,ON - 2023 AI & Data Engineering Intern Program,on_site,"Toronto, Ontario",2022-10-20T17:19:05.716Z,"

                          Req Id: 393211 

                           

                          At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

                           

                          If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team. 
                           

                          Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.
                           

                           

                           

                          At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we’re revolutionizing how Canadians communicate.

                          If you’re ready to bring game-changing ideas to life and join a community that values bold ideas, professional growth and employee wellness, we want you on the Bell team. 

                          If you are passionate about transforming data into business value, this fast-growing, innovative field is where you want to be.  We lead applied data science projects to support contact centre operations, sales, marketing, media, and more!  Bell’s forward-thinking AI & Data Engineering team is helping create the ultimate service experience for our residential, wireless and small business consumers.
                           

                          Are you looking for a great career opportunity next summer? Are you a quick learner who is ready to gain practical skills in data analytics? We are looking for talented and enthusiastic individuals to join the Bell team in summer 2023! Our internship offers a crash course in business operations, gained through hands-on experience working with some of Canada’s largest brands including Bell Mobility, Bell Fibe, and Virgin Mobile.
                           

                          Over the course of our four-month internship program, you will:

                          • Learn from the customer: Work directly with our customers through our call centres and online e-chat services as you learn about our services and customer support systems.
                          • Apply your learnings: Improve the customer experience by working with your fellow interns on critical business projects. Our executive team carefully selects project topics, which offer interns an opportunity to make tangible impacts.
                          • @@ -287700,6 +296299,159 @@ ea9a21f5-4fe4-42c1-ba98-cdd253cb0556,188134073,TD Bank Group,"Senior Analyst, Da

                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                          ",,https://jobs.td.com/en-CA/jobs/15614748/data-engineer-associate-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-23T23:29:00.000Z,False,0,4,9,https://talenthub.vectorinstitute.ai/jobs/188134087-data-engineer-associate-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15614748/data-engineer-associate-toronto-ca/,expired,2023-01-18T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, +fbab0e46-a30b-4423-aadd-0034ac65c5de,189565757,RBC,"Senior Manager, Data Science (Credit Risk Analytics)",on_site,"Toronto, ON, Canada",2023-01-23T17:16:03.674Z,"
                          +

                          Come Work with Us!

                          At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                          Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                          +

                          Job Title

                          Senior Manager, Data Science (Credit Risk Analytics)

                          +

                          +

                          Job Description

                          +

                          What is the Opportunity?

                          +

                          The GRM Risk Policy and Analytics group provides independent and effective on-site monitoring, control and communication on the nature and extent of material risks for Business Financial Services (BFS). We are looking for someone who can drive custom risk Analytics and Insights to business partners by building and operating a modern, open source scalable platform for reporting, analytics and data science. As a Senior Manager, Data Science you will contribute to the overall success of the BFS risk oversight strategies and objectives. You are accountable for executing reporting functions, strengthening risk methodologies and evolving the analytics capabilities for the team.

                          +

                          +

                          Portfolio Risk Oversight (PRO) is extremely dynamic and the team needs to be able to proactively uncover insights from new risk trends and processes using open source data technologies. To succeed you will have to develop and maintain strong ties with business leaders to support decision making through a combination of custom analytics and the evolution of the PRO data infrastructure. The PRO team runs a best-in-class data & analytics stack, which requires constant refinements and enhancements to provide business users with relevant and timely self-serve analytics. You will ensure that our team is successful by leveraging the data in the best possible way. You will be a hands-on analytics practitioner and consultant to ensure that we track, maintain and analyze data in a way that leads us to optimize operational processes and make better business decisions.

                          +

                          +

                          What will you do?

                          +
                            +
                          • Support the PRO Business Analytics & Innovation leadership in the design, coordination, execution and monitoring of key transformational initiatives
                          • +
                          • Partner with cross functional teams to develop an ML/data science products.
                          • +
                          • Lead & support the development of feature farm for machine learning and deep dive initiatives
                          • +
                          • Building and supporting data engineering pipelines in Python using PySpark and Apache Airflow for reporting, data science, analytics, and ad-hoc querying.
                          • +
                          • Lead & support the development of an open source geospatial framework to identify and report the portfolio exposure based on an adverse climate or supply chain events.
                          • +
                          • Support the risk data architecture, data management standards and conventions, data naming standards, and metadata standards to ensure effective availability, scalability, security, and integrity of data assets.
                          • +
                          • Manage and optimizes an inventory of risk data sources. Responsible for compiling, aggregating, testing and validating different data repositories/sources for the risk dashboards ensuring completeness, accuracy, timeliness and integrity of information;
                          • +
                          • Analyze data sources, evaluating and remediating data quality, designing and implementing data sets that can be consumed and re-used by our analytics team
                          • +
                          +

                          +

                          What do you need to succeed?

                          +

                          Must-have

                          +
                            +
                          • Bachelor’s degree in computer science, Economics, Finance, Computer Science, Statistics, or equivalent
                          • +
                          • At least 5 years of professional work experience in the area of Data Analytics / Data Science / Business Analytics
                          • +
                          • Strong experience in the big data ecosystem, with Hadoop (Hive, HDFS), Apache Spark, and NoSQL/SQL databases
                          • +
                          • Strong experience in developing and implementing data science techniques (predictive, prescriptive, ML etc.)
                          • +
                          • Strong Python programming experience especially using modules/packages such as SciKit-Learn, Pandas, SQLAlchemy , NLTK, spaCy etc.
                          • +
                          • Experience with Natural Language Processing and supervised/unsupervised learning methodologies.
                          • +
                          • Strong core competency in SQL. Experience in writing complex SQL queries to extract and integrate data from multiple database source
                          • +
                          +

                          +

                          Nice-to-have

                          +
                            +
                          • Knowledge of Credit Risk Modelling techniques
                          • +
                          • Experience working with knowledge graphs stores (Neo4j) and surrounding semantic technology
                          • +
                          • Knowledge of open source Geospatial Frameworks
                          • +
                          • Experience working with Cloud Technologies
                          • +
                          +

                          +

                          What’s in it for you?

                          +

                          We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                          +
                            +
                          • A comprehensive Total Rewards Program
                          • +
                          • Leaders who support your development through training and coaching
                          • +
                          • Work with a dynamic, collaborative team with ability to make a difference
                          • +
                          +

                          +

                          +

                          Job Summary

                          This position will be a part of Portfolio Risk Oversight (PRO) Data Infrastructure & Innovation team. As a Senior Manager, Data Infrastructure & Innovation in PRO team you will drive custom risk analytics and insights to business partners by building and operating a modern, open source scalable platform for reporting, analytics and data science. To succeed you have extensive Data Science / Business Analytics experience with a track record of liberating and strengthening data capabilities, deeper insights and better data driven business decisions.

                          Address:

                          TORONTO, Ontario, Canada

                          City:

                          CAN-ON-TORONTO

                          Country:

                          Canada

                          Work hours/week:

                          37.5

                          Employment Type:

                          Full time

                          Platform:

                          Group Risk Management

                          Job Type:

                          Regular

                          Pay Type:

                          Salaried

                          Posted Date:

                          2022-12-08-08:00

                          Application Deadline:

                          2023-01-28-08:00
                          +

                          Inclusion and Equal Opportunity Employment

                          +

                          At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                          ​​​​​​​
                          We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                          +
                          +

                          Join our Talent Community

                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                          +
                          ",,https://jobs.rbc.com/ca/en/job/R-0000040951/Senior-Manager-Data-Science-Credit-Risk-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-01-24T17:21:02.629Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/189565757-senior-manager-data-science-credit-risk-analytics-at-rbc,,expired,2023-01-23T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +4ea09b7e-db31-4211-850d-f731859ffdf4,186277036,Accenture,Data Science Senior Manager,on_site,"Toronto, ON, Canada",2023-01-12T17:29:02.761Z,"
                          +

                          Job Description

                          +
                          +

                          +

                          We Are
                          The people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Visit us to find out more about Accenture Applied Intelligence.

                          +

                          +

                          You Are
                          An expert at solving real-world challenges with data, analytics, AI and creativity. Yes, creativity! You know the theory and you have hands-on expertise from studies, experience and/or self-taught projects. As a senior manager working at Accenture you will work on a team with diverse clients and industries delivering solutions to help clients turn data into actionable insights that drive tangible outcomes, improve performance and help clients lead the market.

                          +

                          +

                          What You’ll Do
                          • Collaborate with prospective clients to solve large & complex business problems with data, analytics & AI
                          • Shape narrative for sales origination and educate account teams on data, analytics, AI applicability to their industry/clients
                          • Lead multiple teams and engagements to engineer & deliver value for clients
                          • Play an active role building a practice including capability development, recruitment, and mentorship
                          • Help drive the innovation agenda, including thought leadership publication
                          • Stay abreast of technologies, academic research & hands-on techniques for cloud, data, analytics & AI

                          show more show less
                          +

                          Qualifications

                          +

                          +

                          What We’re Looking For
                          • Extensive experience engaging with client senior leadership on complex business problems
                          • Expertise developing solution offerings and communicating findings to executive audiences
                          • Well versed with managing data science teams and engagements, and providing technical leadership
                          • Extensive experience embracing challenges with cloud, data, analytics & AI lifecycle in enterprise setting
                          • 8+ years of consulting experience or relevant industry experience with proven track record of making significant client impact and value creation

                          +

                          +

                          Bonus Point If
                          • Graduate degree in data science or related disciplines: e.g. Mathematics, Statistics, Computer Science, Economics, Engineering and Physics
                          • Ability to build, manage and foster a team-oriented environment, working creatively and analytically in a problem-solving environment
                          • Certifications from a cloud service provider in Cloud Architecture, Engineering or DevOps
                          • A blend of data science capability, industry and consulting expertise
                          • High initiative and a desire/ability to persist through obstacles/ambiguity
                          • Excellent written and oral communication skills with ability to clearly communicate findings, concepts and ideas
                          • English is required for this position as this role will regularly interact with stakeholders across Canada, US and other countries across our Global footprint where English is the common language. Due to the significant high volume of interactions with these English-speaking stakeholders, which is inherent to this position, it is not possible to reorganize the company\'s activities to avoid this requirement.

                          +
                          +

                          Locations

                          +
                          Ontario - Ottawa, Ontario - Toronto, Quebec - Montreal
                          +
                          +
                          +

                          +Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements +

                          +
                          +

                          Equal Employment Opportunity Statement

                          +

                          +

                          All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                          +

                          +

                          Accenture is committed to providing veteran employment opportunities to our service men and women.

                          +

                          +

                          Requesting An Accommodation

                          +

                          +

                          Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                          +

                          +

                          If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                          +

                          +

                          Other Employment Statements

                          +

                          +

                          Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                          +

                          +

                          The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company\'s legal duty to furnish information.

                          +
                          +
                          +
                          Share
                          +
                          Share
                          +
                          Job Link:
                          Copy
                          +
                          +
                          +

                          COVID-19 update: The safety and well-being of our candidates, our people, and their families continue to be a top priority. Please be aware that Accenture requires all new employees to be fully vaccinated against Covid-19 as a condition of employment. Accenture will consider requests for accommodation based on human rights grounds (e.g., medical/disability, religious/creed, other) to this vaccination requirement during the recruiting process.

                          +
                          +
                          ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00129048_en&title=Data+Science+Senior+Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2023-01-24T17:34:02.772Z,False,0,2,16,https://talenthub.vectorinstitute.ai/jobs/186277036-data-science-senior-manager-at-accenture,,expired,2023-01-12T17:29:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,New Posting, +464f8f3a-b7c4-4ec2-83d8-7307612e54da,189730131,Scotiabank,"Global Banking and Markets - Global Business Payments, Strategic Pricing Intern/Co-Op - Summer 2023",on_site,Canada : Ontario : Toronto,2023-01-24T17:22:03.217Z,"

                          +

                          +

                          +

                          +

                          Requisition ID: 170184

                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                          +

                          +

                          Term: May-August 2023

                          +

                          Application Deadline: 01/23/2023

                          +

                          +

                          There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                          +

                          +

                          Global Banking & Markets provides a full range of investment banking, credit and risk management products and services relevant to the financing and strategic development needs of our clients. Our products include debt and equity financing, mergers & acquisitions, corporate banking, institutional equity sales, trading and research, fixed income products, derivatives, energy, foreign exchange and precious & metals. We also cross-sell the full range of wholesale products and services offered by the Scotiabank Group.

                          +

                          +

                          +

                          Is this role right for you? In this role, you will:

                          +
                          • Understand and Contribute to the Business Line Strategy by delivering actionable recommendations based on profitability analysis, market trends, policy analysis and end-to-end process enhancements
                          • Support day to day strategic pricing group activities
                          • Interact with Sales, Business Support Centre, Technology teams and Product Labs on the development and enhancements of different pricing & billing systems minimize revenue leakage and enhance functionalities
                          • Data Analytics: Conduct analysis on portfolio composition, pricing structures, vintages of expired agreements, discount levels, client volumes, renewals, depth of relationship, etc. Use data analytics to provide pricing recommendations and/or policy changes
                          • Recommend solutions to improve customer experience, product pricing, service and/or process
                          • Conduct impact assessments (on customers, operations and risk) when changes affecting processes are proposed
                          • Assist with new projects and provide input into the review of business requirements, including supporting technology initiatives
                          • Maintain a culture of risk management and control supported by effective processes and ensure all systems and processes are in compliance and meet all regulatory requirements
                          • +
                          +

                          +

                          +

                          Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                          +
                          • You are currently enrolled in post-secondary education.
                          • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                          • You enjoy being involved in extracurricular activities such as conferences, clubs, competitions, and/or hackathons.
                          • Enthusiastic self-starter with ability to prioritize and multi-task, working both independently and within a team environment
                          • High degree of strategic thinking and comfort in doing financial analysis and business casing opportunities
                          • Analytical thinking and an ability to deliver actionable recommendations from analysis in a timely manner
                          • Proven ability to assess competitive landscape for produce and make recommendations to close any competitive gaps
                          • Strong communication and presentation skills
                          • Strong collaborator who engages colleagues and business partners on developing and executing on strategic recommendations
                          • Flexibility to adapt and manage within a dynamic business environment
                          • Analytic skills, statistical modeling and experience with Python, Access, SQL and VBA is an asset.
                          • +
                          +

                          +

                          +

                          What’s in it for you?

                          +
                          • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                          • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                          • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                          • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                          • +
                          +

                          +

                          +

                          How do I apply?

                          +

                          +

                          For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                          +

                          +
                          1. Complete your PLUM Profile here and save as a screenshot.
                          2. +Complete a short one-way video interview here. +
                          3. +Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile. +
                          4. +
                          +

                          +

                          *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                          +

                          +

                          +

                          +

                          Location(s): Canada : Ontario : Toronto

                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                          ",,https://jobs.scotiabank.com/job/Toronto-Global-Banking-and-Markets-Global-Business-Payments%2C-Strategic-Pricing-InternCo-Op-Summer-2023-ON/566270417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-27T17:27:04.394Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/189730131-global-banking-and-markets-global-business-payments-strategic-pricing-intern-co-op-summer-2023-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Global-Banking-and-Markets-Global-Business-Payments%2C-Strategic-Pricing-InternCo-Op-Summer-2023-ON/566270417/,expired,2023-01-24T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, 4d9d60da-9e93-4a56-9928-f72b0465b25f,189730413,TD Bank Group,Senior Salesforce Reporting Analyst,on_site,"Toronto, ON",2023-01-24T17:24:03.450Z,"

                          Company Overview

                          @@ -291239,875 +299991,752 @@ e6b5a19c-5856-4700-b992-ea335abf4354,219397720,TELUS,Data Scientist,on_site,"Ont

                          At the Vector Institute, we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. In order to relieve disadvantage and alleviate the under-representation of Black and Indigenous people in AI, and to attempt to achieve equal opportunity in the field of AI, priority in hiring will be given to qualified Black and Indigenous persons, studying at or having recently graduated from a Canadian post-secondary institute, who self-identify as such in the application process. This initiative is designed to meet the criteria of a special program under the Ontario Human Rights Code.

                          If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.


                          ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=9200420850870_2&jobId=448364&lang=en_CA&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2023-06-22T19:57:00.000Z,False,0,17,55,https://talenthub.vectorinstitute.ai/jobs/236958267-applied-machine-learning-intern-at-vector-institute,,expired,2023-06-17T02:12:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Internship/Co-op,Bachelors Degree,New Posting, -9f2abc2d-6bb0-420d-a352-0eb08d2f08ff,219391141,Scotiabank,"First Nations/Metis/Inuit - Manager Collections Strategy Data Analytics, Remote Career Opportunity",on_site,Canada : Manitoba : Winnipeg || Canada : Alberta : Calgary || Canada : Alberta : Edmonton || Canada : British Columbia : Vancouver || Canada : Ontario : Windsor,2023-04-27T17:22:02.922Z,"

                          +d524dad2-186b-4496-b6c7-d1d9dc017169,200117237,Scotiabank,"Manager, Data Analytics - CID&A",on_site,Canada : Ontario : Toronto,2023-02-27T17:22:02.734Z,"

                          -

                          Requisition ID: 176220

                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                          +

                          Requisition ID: 173602

                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                          -

                          Posted pursuant to Scotiabank’s Special Program under the Employment Equity Act and Canadian Human Rights Act.

                          While you must be an Indigenous person in order to submit your resume, participation is completely voluntary. Please use the definition below to make sure you’re eligible and open to self-identifying as Indigenous person:

                          Indigenous peoples include status, non-status First Nation, Métis and Inuit people. Only those Indigenous peoples who come from Canada should identify themselves as belonging to this designated group

                          +

                          Data Strategist

                          -

                          Job Purpose:

                          +

                          As a Data Strategist in Global Data and Analytics Team, you will help integrate analytics capabilities into the Bank’s digital products and by developing and implementing data strategies that will help improve customer experience.

                          +


                          What will you do in this role?

                          +



                          • Build, manage and grow relationships with product, design, and engineering teams by enabling data driven decision making.
                          • Understand performance trends, identify opportunities for growth, and provide actionable insights.
                          • Work cross functionally to define data strategy and analytics roadmap for digital initiatives, collaborating with Scotia Digital, other analytics teams, and the data office.
                          • Proactively identify, and drive analytics solutions to improve customer experience in collaboration with Data Scientists
                          • Deep dive into data to identify opportunities, influence product development, and/or overall functional and business strategies.
                          • Create and deliver analytics solutions and data products to optimize revenue growth and improve customer experiences using predictive modeling and machine learning.
                          • Communicate and coordinate with teams to implement data-driven strategies while measuring progress
                          • Conduct analysis and present performance results to business line stakeholders within Scotia Digital, analytics and across the bank.
                          • Develop and produce analyses, reports, and insights for partners that help drive tactical, operation, and/or strategic decision making in support of Digital Banking goals
                          • Collaborate with data scientists, data engineers, and operational teams to implement quality controls and automate data feeds and report generation.
                          • Champion change in the bank by promoting data literacy, data analytics, and data informed decision making.

                          +



                          Are you the right person for the role?

                          +


                          • You have a strong business acumen, and you excel at developing and communicating analytics insights
                          • You are not afraid to challenge the status quo
                          • You have a deep curiosity about data, processes, and customer behaviour. You are always asking “why?”
                          • You can pivot and adapt to change
                          • You spend your free time tinkering with new technologies or building apps on the side
                          • You want to find a solution to real life problems that will flip the multi-billion-dollar financial industry on its head
                          • You have a high aptitude for diving in, taking ownership and picking up new things
                          • You're eager to mentor, teach and share your ideas in a team environment
                          • You have open and transparent communication style, including the ability to distil technical details into human terms

                          +

                          Do you have the skills that will enable you to succeed in this role?

                          +


                          • You have 5+ years of experience with data management, performance measurement and stakeholder management
                          • You have a university degree in business or in a relevant STEM discipline (Computer Sciences, Computer/Software Engineering, Mathematics, Statistics) or equivalent experience.
                          • Proven data literacy and excellent storytelling — The ability to simplify and describe complex analytical concepts to stakeholders outside of analytics.
                          • You have experience with Big Data ecosystem tools (e.g., Hive, Pig, Sqoop, Spark, Google Cloud Platform) and are comfortable with creating large queries
                          • You have experience using visualization tools like Power BI, Tableau or QlikView
                          • You have excellent analytical skills and can interpret and consolidate large amounts of information in actionable recommendations. You use sound judgment in the creation of analysis, validation, interpretation, and presentation of findings.
                          • You have experience cleaning, transforming and visualizing large data sets working with various data formats (e.g. unstructured logs, XML, JSON, flat files, image)
                          • You have experience leveraging digital analytics tools such as Adobe Analytics, Google Analytics or Splunk
                          • Strong project management and communication skills (both oral and written).
                          • Ability to manage process and planning, facilitate teamwork, and coordinate execution of multiple deliverables.

                          -

                          Working within Global Risk Management, you will be responsible for driving improvements in collection strategies by leading the production of policies, strategies and data driven analyses that result in actionable insights that improve the Bank’s loan losses & profitability.

                          +

                          Location(s): Canada : Ontario : Toronto

                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                          ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Analytics-CID&A-ON-M5A3X5/567782117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-03-29T20:09:05.536Z,False,0,5,28,https://talenthub.vectorinstitute.ai/jobs/200117237-manager-data-analytics-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Analytics-CID&A-ON-M5A3X5/567782117/,expired,2023-02-27T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +7317bae8-7661-46df-b7e3-49adf2e3dd7a,207763644,Scotiabank,Fraud Analytics Manager,on_site,Canada : Ontario : North York || Canada : Ontario : Ajax || Canada : Ontario : Mississauga || Canada : Ontario : Scarborough || Canada : Ontario : Toronto,2023-03-23T17:22:02.616Z,"

                          -

                          Job Responsibilities:

                          -
                          1. Participate in the strategic management of debt collections by:
                          2. -
                          -
                          • Leading the design, implementation, monitoring and management of Collection strategies for Canadian portfolios to mitigate credit losses by testing and assigning appropriate treatments to delinquent accounts
                          • Ensuring all credit risks associated with collections are understood and quantified with effective management reporting, across all components of collections (People, Data, Process, Technology, Strategy, Control Quality and Vendor Management)
                          • Lead continuous improvement of all components of collections from a credit risk perspective, leveraging risk technology and by working within the minimum standards defined in the global collections policy
                          • Mitigating risks/loss to the Bank by ensuring adherence to credit risk management policies and operational guidelines
                          • Continue to be fully aware of industry trends and opportunities as related to technology, process and decision science
                          • Ensuring future enhancements continue to be identified and implemented
                          • Support reorganizations/projects to create a Collections organization that is aligned with business partner’s strategic focus
                          • -

                          -

                          2. Lead initiatives to strengthen the Collections risk and operational effectiveness and efficiency. Continually champion new growth opportunities which lend themselves to the Bank’s goal of improving productivity, enhancing service and reducing costs by:

                          -
                          • Promoting the reengineering of processes to lower loan losses, improve dollars collected, improve productivity and reduce costs
                          • Drive continuous improvement in strategy effectiveness with focus on incremental profitability (i.e. losses avoided less cost to collect including incentives).
                          • Streamlining and/or integrating automation and technology
                          • Continually challenging the ‘status quo’ through innovation
                          • Support construction of a Centre of Excellence in Collections
                          • -
                          +

                          Requisition ID: 172337

                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                          -

                          Job Requirements:

                          +

                          Purpose

                          +

                          +

                          Contributes to the overall success of the Fraud Management Group in Canada ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                          +

                          +

                          Proactively contributes to the Fraud strategy by applying advanced analytics techniques to enhance fraud mitigation capabilities for multiple products across the Canadian Retail portfolio, including Day to Day Banking, Credit Cards, Unsecured Lending Products, Mortgages and Global Payments.

                          -
                          • Two to three years’ experience in data analytics
                          • Experience with statistical software packages such as SAS or SQL
                          • Strong leadership, collaboration, and communication skills
                          • Results driven individual with high level of curiosity and ability to dive into details without losing sight of the big picture
                          • Exceptional organization skills to prioritize, manage, and implement a variety of competing initiatives, on a concurrent or staggered basis
                          • A University degree in Economics, Finance, Business, Mathematics, or Computer science
                          • +

                            Accountabilities

                            +

                            +
                            • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                            • Develop, execute, and monitor fraud strategies for payment cards (credit and debit) including fraud types such as Card Present, Card Not Present (including 3D Secure), Account Takeover, etc.
                            • Report regularly on performance of existing fraud strategies deployed in Canadian Banking
                            • Identify improvements of existing fraud strategies, procedures and policies
                            • Maintain performance reporting and liaise with business partners to assess trends that may impact the business
                            • Drive strong partnership with Fraud Operations to identify opportunities for improvement with focus on risk/return while ensuring alignment.
                            • Identify and escalate fraud risks that are or will become in excess of the Risk Appetite
                            • Leverage data mining tools (SAS, Python, R) to formulate fraud strategies that minimize fraud losses while maintaining a positive customer experience and controlling operating costs
                            • Lead / participate in the identification, development and implementation of new initiatives
                            • Contribute to and support a variety of projects and initiatives across the Fraud Management Group
                            • Participate in discussions with IT partners and vendors on requirements and solution design
                            • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                            • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                            +

                            -

                            Location(s): Canada : Manitoba : Winnipeg || Canada : Alberta : Calgary || Canada : Alberta : Edmonton || Canada : British Columbia : Vancouver || Canada : Ontario : Windsor

                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                          ",,https://jobs.scotiabank.com/job/Winnipeg-First-NationsMetisInuit-Manager-Collections-Strategy-Data-Analytics%2C-Remote-Career-Opportunity-ON/568974017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-12T17:11:00.000Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/219391141-first-nations-metis-inuit-manager-collections-strategy-data-analytics-remote-career-opportunity-at-scotiabank,https://jobs.scotiabank.com/job/Winnipeg-First-NationsMetisInuit-Manager-Collections-Strategy-Data-Analytics%2C-Remote-Career-Opportunity-ON/568974017/,expired,2023-04-27T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -0670059d-e451-4cf6-9fdc-005eed9f0ca7,216105799,BMO Financial Group,"Report Analyst, VBA and Data Visualization software- HYBRID",on_site,"Ontario, Canada",2023-04-17T17:12:01.719Z,"
                          -

                          Application Deadline:

                          06/30/2023

                          -

                          -

                          Address:

                          250 Yonge Street

                          -

                          -

                          Job Family Group:

                          Data Analytics & Reporting

                          -

                          -

                          This is a critical role n supporting our business partners with reporting, analytical and production activity support. This role supports our primary partners within TORIC (Technology and Operations Risk and Internal Controls) division as well as Technology and Operations (T&O) and BMO Nesbitt Burns branch network. It also provides critical support with Power BI reporting, Authority Process Support, GEMS BAU as well as the opportunity to lead on training reporting and other initiatives. You will be supporting the development of BMO\'s CO-OP students and BMO Interns and provides the candidate the opportunity to gain leadership skills, strong organizational skills and building of partner relationships.

                          -

                          -

                          Key Priorities/duties:

                          -
                            -
                          • Governance, Risk and Compliance Dashboard support using Power BI

                          • -
                          • Support of various Authorization Lists for T&O & BMO Nesbitt Burns branch network using Power Apps, PDF Forms and SharePoint or other like programs

                          • -
                          -

                          -

                          This is a HYBRID role based in the Greater Toronto area.

                          -

                          -

                          -

                          Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                          -
                            -
                          • Builds effective relationships with internal/external stakeholders.
                          • -
                          • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                          • -
                          • Designs, develops, and implements innovative analytical solutions.
                          • -
                          • Designs and produces regular and ad-hoc reports, and dashboards.
                          • -
                          • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                          • -
                          • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                          • -
                          • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                          • -
                          • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                          • -
                          • Designs, develops, and implements innovative analytical solutions.
                          • -
                          • Designs and produces regular and ad-hoc reports, and dashboards.
                          • -
                          • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                          • -
                          • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                          • -
                          • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                          • -
                          • Analyzes data and information to provide subject-matter insights and recommendations.
                          • -
                          • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                          • -
                          • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                          • -
                          • Builds effective relationships with internal/external stakeholders.
                          • -
                          • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                          • -
                          • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                          • -
                          • Exercises judgment to identify, diagnose, and solve problems within given rules.
                          • -
                          • Works independently on a range of complex tasks, which may include unique situations.
                          • -
                          • Broader work or accountabilities may be assigned as needed.
                          • +

                            Education / Experience

                            +

                            +
                            • A University degree in statistics, mathematics or computer science
                            • 3-5 years analytical experience preferred including statistical analysis, ideally related to Fraud Analytics or Risk Management
                            • Strong coding, organizing and manipulating large amounts of data (SAS, R, Python)
                            • Experience with PRM or similar fraud platform strongly desired
                            • Strong prioritizing, planning, analytical, presentation, project management, and relationship building skills
                            • Strong communication skills essential with clients, vendors and management
                            • Must be self-motivated, energetic and results-oriented and be committed to adding value to the organization
                            +

                            +

                            Location(s): Canada : Ontario : North York || Canada : Ontario : Ajax || Canada : Ontario : Mississauga || Canada : Ontario : Scarborough || Canada : Ontario : Toronto

                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                          ",,https://jobs.scotiabank.com/job/North-York-Fraud-Analytics-Manager-ON-M3C0N5/567308517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-03-30T17:27:03.581Z,False,0,2,13,https://talenthub.vectorinstitute.ai/jobs/207763644-fraud-analytics-manager-at-scotiabank,https://jobs.scotiabank.com/job/North-York-Fraud-Analytics-Manager-ON-M3C0N5/567308517/,expired,2023-03-23T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +c0e6e4db-6893-46ab-9e7b-c5dafc3233db,204324014,CN,Specialist Solution Management,on_site,"Ontario, Canada",2023-03-13T17:42:03.243Z,"

                          -

                          SKILLS and Qualifications:

                          -
                            -
                          • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                          • -
                          • MUST HAVE VBA (At least 3 years desired)
                          • -
                          • MUST HAVE experience with Power BI, Spotfire, or Tableau ( At least 1-2 years desired)
                          • -
                          • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Very good.
                          • -
                          • Technical proficiency gained through education and/or business experience.
                          • -
                          • Verbal & written communication skills - In-depth.
                          • -
                          • Collaboration & team skills - In-depth.
                          • -
                          • Analytical and problem solving skills - In-depth.
                          • -
                          • Influence skills - In-depth.
                          • -
                          • Data driven decision making - In-depth.
                          • -
                          -

                          -

                          -

                          We’re here to help

                          -

                          -

                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                          -

                          -

                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                          -

                          -

                          To find out more visit us at https://jobs.bmo.com/ca/en.

                          -

                          -

                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                          -

                          -

                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                          -
                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Report-Analyst--VBA-and-Data-Visualization-software--HYBRID_R230006641?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-05-12T17:08:00.000Z,False,0,3,21,https://talenthub.vectorinstitute.ai/jobs/216105799-report-analyst-vba-and-data-visualization-software-hybrid-at-bmo-financial-group,,expired,2023-04-17T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -c05fe994-fe86-499f-a0ca-1a39069e2691,214826858,OMERS,"Manager, Data Governance",on_site,"Ontario, Canada",2023-04-13T17:42:02.226Z,"
                          -

                          -

                          -

                          The Manager, Enterprise Data Governance works with the Architecture, Infrastructure, Data and Analytics team, in the development and implementation of OMERS Data Governance program, including making contributions that raise the profile and understanding of Program principles and best practices across the organization.

                          Reporting to the Director, Data Governance, you will play a pivotal role in defining data governance strategies, dimensions and maturity across the enterprise and creating related frameworks, reference architecture, processes and solutions to support this. This role will work closely with other data teams across the enterprise to ensure data governance standards and best practices are being applied consistently across the organization, particularly as it relates to data quality, metadata management, data cataloguing, data lineage, data retention and disposition, access management.

                          +
                          At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!
                          +

                          +
                          Job Summary
                          +
                          +

                          The Specialist, Solution Management is responsible for understanding business requirements, data definitions, business rules and data quality requirements, as well as logical and physical models. The role supervises and maintains the Data Operations and Services practice within the team. Moreover, the incumbent brings technical expertise to ensure the operations of our services are delivered within the Service-Level Agreements (SLAs) and Key Performance Indicators (KPIs) defined with the business and other areas to help them make better decisions. The position ensures data integrity and normalization and oversees and runs all reporting environments, including data sources, security, and business rules.

                          Main Responsibilities

                          Data Design and Management

                          · Collaborate in building conceptual, logical, and physical data models with Data Designers and Modellers and source to target mapping documents to describe data transformations

                          · Design and develop curated data assets in Data Lake and Data Warehouse to support operational reporting, data science and self-service analytics

                          · Define, document, and maintain standards and best practices around data development and data operations

                          · Perform and participate in development reviews and Transfer to Core sessions

                          · Handle the onboarding, support, and mentorship of new Data Developers

                          · Participate in the assessment and design of data architecture

                          Data and Technical Architecture Integration and Alignment

                          · Troubleshoot data issues within the business and present solutions and recommendations

                          · Define unit testing to ensure Data Developers follow specifications

                          · Participate in the delivery and support of data quality and consolidation initiatives

                          · Propose simplification initiatives to allow for more effective data operations and support

                          · Provide analytical support by developing dashboards and reports using Power BI or Tableau to deliver business insight

                          · Resolve areas for automation within the support process

                          · Identify proactive monitoring opportunities and build upon them

                          · Analyze data pipelines through the development of debugging capabilities

                          Working Conditions

                          The role has standard working conditions in an office environment with a regular workweek from Monday to Friday. Due to the nature of the role, the incumbent must be able to meet tight deadlines, handle pressure, and stress.

                          Requirements

                          Experience

                          Data Development

                          · Minimum 5 years overall work experience

                          · Minimum 3 years of experience in analysis, data design and data development

                          o Experience performing root cause analysis to answer specific business questions and identify opportunities for improvement

                          Education/Certification/Designation

                          · Bachelor’s Degree in Mathematics and Statistics, Computer Science, Business Analytics, or other quantitative field, related degree, or equivalent experience

                          Competencies

                          · Inspires others with impactful communications and adapts to the audience through speech and writing

                          · Applies analytical thinking

                          · Innovates through problem solving

                          · Knows the business and stays current with industry trends to elevate expertise and work

                          · Demonstrates organizational abilities

                          · Collaborates with key internal stakeholders to enable higher productivity

                          · Works independently with little supervision

                          Technical Skills/Knowledge

                          · Advanced knowledge of Erwin Data Modeller r9.8 or similar version

                          · Advanced knowledge of dimensional modelling techniques, data modelling and data architecture best practices

                          · Knowledge of semi-structured and unstructured data

                          · Advanced knowledge of Structured Query Language (SQL)

                          · Knowledge of Azure Data Lake (ADLS), Data Warehouse, Data Factory, Development Operations (DevOps) Continuous Integration (CI) and Continuous Delivery (CD), Qlik, Databricks, and Business Intelligence or relevant data environment, Azure Data Explorer (ADX) including Kusto Structured Query Language (KSQL) and Kafka

                          · Knowledge of real-time data streaming and loading, working with IBM Datastage, data science projects, Scale Agile Methodology (SAFe) and Qlik*

                          *Any knowledge for any of the above would be considered as an asset

                          +
                          +

                          +
                          About CN
                          +

                          +
                          CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.
                          +

                          +
                          For internal candidates, note that the grade level of the position will depend on the employee\'s experience.
                          +

                          -

                          As a member of this team, you will be responsible for:

                          -
                          • Understanding OMERS business functions, activities, and transactions, as well as standard information and data governance best practices to contribute practical solutions in the development and implementation of the Data Governance Program

                          -

                          Data Governance Policy Implementation and Maintenance

                          -
                            -
                          • Working with business and other Data and Technology stakeholders to develop industry-informed strategies, solutions, frameworks, processes related to:
                              -
                            • Data Quality
                            • -
                            • Metadata Management
                            • -
                            • Data Cataloguing
                            • -
                            • Data Lineage
                            • -
                            • Data Retention and Disposition
                            • -
                            • Access management
                            • -
                            -
                          • -
                          • Contributes to the development of reporting requirements to monitor data compliance as well as KPIs and metrics to gauge the health and maturity of data governance program
                          • -
                          • Data Governance Program Communications and Training
                          • -
                          • Contributing to the development of appropriate materials and conducting training sessions related to data governance best practices and technologies
                          • -
                          +

                          +

                          CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                          +
                          ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/10224?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-03-30T17:47:06.577Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/204324014-specialist-solution-management-at-cn,,expired,2023-03-13T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, +5a030f36-95e0-41ba-96c1-de229ae9c3ed,209219956,Roche,Senior Analytics Lead,on_site,"Ontario, Canada",2023-03-27T17:42:04.783Z,"
                          +

                          The Position

                          +

                          The Individual Contributor in PDG Insights & Analytics (I&A) is a strategic thought partner to key stakeholders and an integral contributor to Genentech’s operational planning efforts.

                          -

                          Data Technology Design and Maintenance

                          -
                            -
                          • Conducting ad hoc analysis and validating data integrity across systems
                          • -
                          • Collaborating with stakeholders to identify opportunities to improve data accuracy and ensuring that data owners are accountable for data quality
                          • -
                          • Providing inputs on the design and development of data models for data warehousing and cataloging projects
                          • -
                          • Liaising with Data and Technology regarding the development of new information and data governance related applications, including requirements validation and testing
                          • -
                          • Providing data governance consulting services across the enterprise
                          • -
                          • Managing a team of data governance analysts dedicated to supporting the roll-out of data governance across the business
                          • -
                          +

                          The specific role of Senior Analytics Lead requires a mix of Forecasting, Advanced Data Analytics, and Product Manager capabilities. However, all Individual Contributors have the opportunity to blend and extend their expertise on different initiatives to further develop both the breadth and depth of their capabilities.

                          -

                          To succeed in this role, you have:

                          +

                          He/she is responsible for providing strategic operational insights with minimal guidance / supervision, leveraging their capabilities in the following areas of expertise:

                            -
                          • A minimum 8 years of work experience in data analytics with 5 years exp in data governance capability design, development and deployment
                          • -
                          • 3+ years in developing comprehensive business cases, strategies and roadmaps
                          • -
                          • 5+ years in financial services, preferably financial markets, investment management or pension plans
                          • -
                          • Bachelors/ master’s in engineering, math, statistics, or equivalent experience
                          • -
                          • Experience with the definition, implementation and support of metadata, data catalogue, data quality, data lineage, data access management and supporting processes, tools and technology
                          • -
                          • Working knowledge and understanding of data models
                          • -
                          • Experience with Data Governance tools such as Purview, Collibra, Informatica, IBM etc.
                          • -
                          • Experience in training and communicating to internal stakeholders about data governance principles and best practices
                          • -
                          • An outcome-oriented system thinking approach to solving sophisticated and often ambiguous problems to generate reusable solutions
                          • -
                          • Process engineering and automation opportunity identification and implementation
                          • -
                          • Ability to ideate with others at all levels, translate economic value, develop detailed business cases, value measurement and reporting
                          • -
                          • Ability to identify key business objectives and craft good storytelling around them leveraging multiple form factors from PowerPoint to web to in person presentations
                          • -
                          • Strong collaboration skills, are a great teammate, and are a proactive people manager
                          • -
                          • Previous experience with setting and tracking strategic/tactical OKRs and value measurement methodologies
                          • -
                          • A consistent track record in consultative relationship-building and gaining consensus for new programs and initiatives, including with executive audiences
                          • +
                          • Forecasting: creating time-series and/or patient-based forecasts; conducting uncertainty analyses

                          • +
                          • Advanced Data Analytics: designing and delivering advanced quantitative data analyses leveraging large/complex datasets

                          • +
                          • Product Management: end to end delivery of analytical solutions from ideation through implementation, providing strategic partnership to communities across Clinical Operations

                          -

                          -

                          -

                          -

                          -

                          Our story:

                          -

                          Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                          -

                          OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                          -
                          ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Manager--Data-Governance_JR-4803?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-05-13T19:02:27.990Z,False,0,2,15,https://talenthub.vectorinstitute.ai/jobs/214826858-manager-data-governance-at-omers,,expired,2023-04-13T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -a3a67508-8c52-4934-a0d9-5fa71e6f6240,219397717,OMERS,"Senior Business Intelligence Developer, Finance Data & Analytics (15 Month Contract)",on_site,"Ontario, Canada",2023-04-27T17:42:03.273Z,"
                          -

                          -

                          -

                          We are seeking a Senior Business Intelligence Developer to join our Finance Data & Analytics Team on a 15 month contract. In this role, you will report to the Product Manager Data & Analytics and will be responsible for designing, developing, and maintaining Power BI reports, dashboards, and analytics solutions. You will also work closely with stakeholders to gather business requirements, analyze data, and develop solutions using Alteryx and Azure Synapse.

                          +

                          MAJOR RESPONSIBILITIES

                          -

                          If you are a highly motivated, experienced Power BI developer with a passion for data visualization and analytics, we encourage you to apply for this exciting opportunity.

                          +

                          +

                          Work with Clinical Operations Disease Area Communities (CODACs) and Clinical Operations Portfolio Enabling Communities (COPECs), Franchise Leads, Study Management & Country Leaders, Study Management Teams, Late Stage Portfolio Committee (LSPC) stakeholders, Lifecycle Teams to understand business needs and priorities, as well as immediate scope of work

                          +

                          Increase the sophistication and application of advanced analytics methods (including predictive modeling, machine learning, and scalable prototypes) to measure study performance and guide portfolio-level decisions efficiently and at the speed of business

                          +

                          Create and manage tools with up-to-date industry information to build accurate short-and long-term forecasts

                          +

                          Work with other team members to pull in insights from primary and secondary data, to continuously improve forecast methods and accuracy

                          +

                          Communicate the effects that trial design elements, country and site selection, competitor activities and new engagement tactics will have on clinical trial recruitment & retention forecasts

                          +

                          Provide technical/analytical expertise to team through secondary data analytics

                          +

                          Apply analytical and statistical methods to answer a variety of business questions using multiple data sources and technical tools/languages

                          +

                          Monitor and assess the effectiveness of enrollment and engagement efforts, projects, and practices and identify opportunities to optimize value of investments

                          +

                          Support the identification of appropriate sites and countries for trial placement

                          +

                          Act as subject matter expert for applicable advanced analytical methodologies, programs and projects

                          +

                          Collaborate within cross-functional teams to develop solutions, gain alignment and deliver impactful business insights; engage necessary stakeholders to enable better decision-making

                          +

                          Openly share perspective and insights to elevate team thinking and drive a balanced, holistic point of view; effectively weigh and communicate trade-off considerations

                          +

                          Take an enterprise and One PDG mindset, linking individual responsibilities with broader organization; focus on outcomes that provide most business value

                          +

                          Demonstrate self-accountability and integrity

                          +

                          Demonstrate strategic agility and an ability to engage stakeholders to understand and diagnose business problems and recommend appropriate courses of action

                          +

                          Look for opportunities for continuous improvement; engage managers and peer group regularly for coaching, assistance, and advocacy

                          +

                          Stay current with and adopt emergent relevant methodologies, tools and applications to ensure fit-for-purpose and impactful approaches

                          +

                          Act as a thought partner and advisor to all relevant teams and stakeholders; look for and establish opportunities for peer mentorship

                          +

                          Actively participate in cross functional communities, networks and/or knowledge-sharing bodies that enable broader and more effective use of insights and/or analytics that drive and support decisions

                          +

                          Acquire, aggregate and/or curate data and information

                          +

                          +

                          +

                          WHO YOU ARE

                          -

                          Key Responsibilities:

                          -
                            -
                          • Develop Power BI reports and dashboards that are visually appealing, intuitive, and provide actionable insights to stakeholders
                          • -
                          • Gather and analyze business requirements from stakeholders and translate them into technical specifications for data models, reports, and dashboards
                          • -
                          • Develop and maintain ETL workflows using Alteryx and Azure Synapse to ensure data quality and accuracy
                          • -
                          • Create and maintain data models and relationships in Power BI to ensure data consistency across reports and dashboards
                          • -
                          • Collaborate with other developers, analysts, and stakeholders to ensure successful project delivery and adoption of Power BI solutions
                          • -
                          • Provide training and support to end-users to ensure successful adoption of Power BI solutions
                          • -
                          • Stay up-to-date with the latest Power BI features and best practices and continuously improve the quality and performance of Power BI solutions
                          • -
                          -

                          Qualifications:

                          +

                          In Individual Contributors, we are looking for people who are nimble, curious, able to effectively collaborate and lend expertise to multi-functional teams and adapt quickly to competing priorities within their Disease Area. We are also looking for people who are committed to continuing to make Genentech a great place to work, by seeking opportunities to develop their own and others’ expertise through ongoing mentorship and coaching.

                            -
                          • Bachelor\'s degree in Computer Science, Information Systems, or related field
                          • -
                          • 5+ years of experience developing Power BI reports, dashboards, and analytics solutions
                          • -
                          • Strong experience with Alteryx and Azure Synapse to perform data transformation, data integration, and data preparation
                          • -
                          • Experience with DAX and M formula languages in Power BI to create complex calculations and data models
                          • -
                          • Experience with Power Query to connect to various data sources, transform data, and load data into Power BI
                          • -
                          • Strong SQL skills to write complex queries, optimize data retrieval, and troubleshoot data issues
                          • -
                          • Experience with data visualization best practices and design principles
                          • -
                          • Strong analytical and problem-solving skills
                          • -
                          • Strong communication and collaboration skills
                          • +
                          • ""Self-starter""; strong sense of responsibility with demonstrable comfort in an entrepreneurial environment

                          • +
                          • Able to work effectively in a fluid, cross-functional, global matrixed environment and stand out as a successful collaborator

                          • +
                          • Strong interpersonal skills and a consultative mindset, with the ability to develop strong partnerships

                          • +
                          • Good problem-solving ability, breaking down complex problems into distinct parts, managing uncertainty, understanding, anticipating interdependencies

                          • +
                          • Able to proactively “connect the dots” by asking thought-provoking questions

                          • +
                          • Objective when presenting insights and guiding decision-making; demonstrate good presentation skills by pairing sound analytics with storytelling

                          • +
                          • Motivated to continuously improve performance; outcomes-focused and driven to achieve objectives

                          • +
                          • Able to lean in and manage through change

                          -

                          -

                          -

                          -

                          -

                          Our story:

                          -

                          Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                          -

                          -

                          OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                          -
                          ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Senior-Business-Intelligence-Developer--Finance-Data---Analytics--15-Month-Contract-_JR-4843?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-05-08T20:35:00.000Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/219397717-senior-business-intelligence-developer-finance-data-analytics-15-month-contract-at-omers,,expired,2023-04-27T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -a758f2cd-9d3f-4086-bc0a-6546a28655ad,222298478,OMERS,"Senior Business Analyst, Data Analytics & Delivery",on_site,"Ontario, Canada",2023-05-04T17:42:02.563Z,"
                          -

                          -

                          -

                          We are seeking a highly motivated and experienced Senior Business Analyst to join our Data Analytics & Delivery team in Capital Markets Finance at OMERS. In this role, you will be responsible for supporting investment data and analytics delivery from platform systems to a custom data product solution for end users. You will work with business stakeholders to identify, analyze, and document business requirements, and work with technical teams to design, test and implement solutions. You will also be responsible for ensuring day to day data quality in our data and analytic reporting.

                          -

                          -

                          Responsibilities:

                          +


                          +

                          PREFERRED QUALIFICATIONS

                            -
                          • Work with business stakeholders to identify and document business requirements for new and existing data analytics, data sets, and reporting projects.
                          • -
                          • Design and implement solutions that meet business needs, working closely with technical teams to ensure that data solutions are modeled and aligned with the business.
                          • -
                          • Develop and maintain data models to support reporting and analytics needs, ensuring that data is accurate, complete, and consistent.
                          • -
                          • Ensure the quality and accuracy of data used in our analytics and reporting, identifying and resolving data quality issues as needed.
                          • -
                          • Collaborate with cross-functional teams to identify opportunities for process improvement and automation, and to implement solutions that increase efficiency and effectiveness.
                          • -
                          • Work with stakeholders to develop and maintain a suite of reports and dashboards to support business decision-making.
                          • -
                          • Stay up-to-date on emerging trends and best practices in data analytics and reporting, and identify opportunities to incorporate new approaches and/or technologies into our work.
                          • +
                          • Bachelor’s Degree (Business, Economics, Statistics, Mathematics, or Physical Sciences or related field is a plus); MBA or Graduate-level Degree is preferred

                          • +
                          • 7+ years of work experience with Bachelors; 5+ year of work experience with Masters; 4+ years of work experience with PhD/JD, preferably within pharmaceutical or biotech industry (commercial or clinical) and/or management consulting

                          • +
                          • Deep expertise in at least one of the following areas: Patient Insights, Investigator Insights, Forecasting, Competitive Intelligence, Data Analytics, Advanced Data Analytics, Resourcing, Information Visualization and/or Data Science

                          -

                          -

                          Requirements:

                          +
                          • Experience with various forecasting methods and techniques strongly preferred

                            -
                          • Bachelor\'s degree in Business Administration, Computer Science, Mathematics, or a related field.
                          • -
                          • Minimum of 5 years of experience in a business analyst role, with a focus on investment data and analytics
                          • -
                          • Strong analytical skills and the ability to work in teams and translate business requirements into technical solutions
                          • -
                          • Experience developing and maintaining data models
                          • -
                          • Experience with SQL and data visualization tools such as Power BI
                          • -
                          • Excellent communication skills, with the ability to clearly and effectively communicate complex ideas to both technical and non-technical audiences.
                          • -
                          • Strong collaboration skills, with the ability to work effectively in cross-functional teams.
                          • -
                          • Strong problem-solving skills, with the ability to identify issues and develop and implement solutions to address them.
                          • -
                          • Knowledgeable in a variety of investment products
                          • -
                          • Knowledgeable in the data sets found in large a pension/asset manager/asset owner e.g. SMF, trading, accounting, performance, risk, benchmarks
                          • -
                          • Data warehouse or investment application experience is a nice to have
                          • -
                          • Chartered Financial Analyst (CFA) professional designation and/or Financial Risk Manager Certification (FRM) is an asset
                          • +
                          • Understands the advantages and limits of different analytical approaches

                          • +
                          • Considerable experience applying exploratory & confirmatory data analysis techniques that inform business decisions

                          • +
                          • Experience with scripting, statistical & programming languages and analytical tools preferred (i.e. Python, R, SQL, Matlab, SAS, Google/Adobe analytics)

                          • +
                          • Autonomous or semi-autonomous examination of data or content

                          • +
                          • Demonstrated use of sophisticated techniques, tools & languages typically beyond those of traditional data analysis to discover deeper insights, make predictions, or generate recommendations

                          -

                          -

                          -

                          -

                          -

                          Our story:

                          -

                          Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                          -

                          -

                          OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                          -
                          ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Toronto-Canada/Senior-Business-Analyst--Data-Analytics---Delivery_JR-4885?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-05-15T22:43:00.000Z,False,0,7,35,https://talenthub.vectorinstitute.ai/jobs/222298478-senior-business-analyst-data-analytics-delivery-at-omers,,expired,2023-05-04T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -61b0f365-5c88-44b0-bd81-9bdcbcf178cf,221484249,TD Bank Group,Senior Business Intelligence and Reporting Analyst,on_site,"Toronto, ON",2023-05-02T17:24:01.748Z,"
                          -

                          Company Overview

                          -
                          -

                          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                          -

                          Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                          -
                          -

                          -

                          Department Overview

                          -
                          -

                          What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.

                          -

                          The Business Intelligence group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization.

                          -

                          This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise.

                          -

                          Joining us in Business Intelligence & Reporting is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                          -
                          -

                          -

                          Job Description

                          -
                          -

                          Are you a big picture thinker? Fantastic! This is exactly the kind of thinking TD needs when it comes to our business intelligence support and analytics. In this role, we need you to take a holistic, high level approach to collection and reporting of data for major projects and initiatives across TD.

                          -

                          As data’s role in providing extraordinary products and services to our customers grows, we’ll look to the valued expertise you’ll provide in this role, to develop, adopt and evolve the best in class reporting and business intelligence capability.

                          -

                          Does this sound like you? You’re a natural leader, and can lead major initiatives and projects, joining business owners and partners to determine business needs and recommend solutions. Moreover, you have a talent for looking at a collection of data and drawing rare insights. In this role, we’ll need you to include those insights and commentary within the existing reporting packages you deliver. Finally, you’ll fit in well if you like to own your space and execute with speed and precision, relishing all challenges as opportunities to dig in, collaborate and take TD into the future of banking.

                          -

                          As a Senior Business Intelligence & Reporting Analyst, you will:

                          -

                          -
                        • Produce specialized reporting packages, dashboards and scorecards for businesses
                        • -
                        • Lead the implementation of initiatives in support of overall business/function strategy
                        • -
                        • Conduct analysis to provide improved BI to inform management leadership team
                        • -
                        • Craft complex and comprehensive BI reporting packages and dashboards utilizing data infrastructure, localized datamarts and external data sources
                        • -
                        • Validate the quality and integrity of the data included in all reporting
                        • -
                        • Develop substantial and insightful commentary/insights on new and existing reporting packages.
                        • -
                        • Work with business partners to understand business objectives and develop valuable reporting and provide ad-hoc data extracts
                        • -
                        • Understand business drivers, definitions and metrics in order to interpret findings, take action and provide relevant direction
                        • -
                        • Lead the development and implementation of portfolio reporting (e.g. acquisition, attrition, portfolio growth, profitability, etc.)
                        • -
                        • Provide (and may develop) complex reporting, analysis, and assessments at the functional or enterprise level
                        • -
                        • Work independently as the senior analyst / expert and may provide technical support to others
                        • -
                        • Maintain expert knowledge of all main data sources for the data used within the business unit and ability to effectively utilize these data sources for reporting purposes
                        • -
                        • Ideally have or acquire knowledge of broader enterprise reporting platforms and data sources and ability to integrate data across the enterprise
                        • -

                          `

                          -
                          -

                          -

                          Requirements

                          -
                          -

                          What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                            -
                          • Undergraduate degree or technical certificate
                          • -
                          • Five (5) or more years relevant experience
                          • +
                          • Experience acting as a strategic thought partner to teams; Entrepreneurial mindset, to transform the way we use data and analytics to enable decisions and hasten our delivery of medicines for our patients

                          • +
                          • Track record of effectively working in a matrix environment with international team members coming from scientific, business and operational backgrounds, using influence without authority

                          • +
                          • Expertise in standard analysis and presentation software (Excel, PowerPoint)

                          • +
                          • Ability to merge together data sets from disparate sources and report findings in a variety of formats and mediums

                          • +
                          • Persuasive written and verbal communication skills, easily communicating complex ideas.

                          • +
                          • Strong attention to detail

                          • +
                          • Experience managing outside vendors preferred

                          -

                          -

                          Hours

                          -
                          37.5
                          +

                          Who we are

                          +

                          At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

                          -

                          Inclusiveness

                          -

                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                          +

                          Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche\'s truly innovative culture.

                          -
                          ",,https://jobs.td.com/en-CA/jobs/18270294/senior-business-intelligence-and-reporting-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-15T22:41:00.000Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/221484249-senior-business-intelligence-and-reporting-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18270294/senior-business-intelligence-and-reporting-analyst-toronto-ca/,expired,2023-05-02T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,,Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -37fbc281-5173-40f3-a93c-f709230def94,219397727,Clearpath,Autonomy Developer - Perception & Calibration,on_site,"Ontario, Canada",2023-04-27T17:42:04.159Z,"

                          Description

                          -

                          Position: Autonomy Developer - Perception & Calibration
                          Location: Kitchener, Ontario
                          Job Type: Full-Time Permanent
                          Experience: 2-5 Years Relevant Work Experience
                          Education: Masters or PhD Degree in a related field
                          Division: OTTO Motors

                          -

                          About OTTO Motors, a division of Clearpath Robotics

                          -

                          At OTTO Motors, we believe material handling is one of the most dangerous and unproductive parts of modern industrial operations. Our mission is to create safer, more productive and fulfilling workplaces with autonomous material handling technology. Most recently, OTTO Motors was recognized among the top 1% of Canada’s highest-performing global private companies by Communitech. Our loyal customers are also the most recognizable brands in the world and trust OTTO Motors to fulfill their mission-critical material handling needs: General Electric, Toyota, Hershey, Caterpillar, Berry Global, and more. For more information about us, visit www.ottomotors.com.

                          -

                          About the Job

                          -

                          The OTTO Motors division of Clearpath is looking for a Perception Developer to work on the Perception Team in the Vehicle Software Group to focus on the development of sensor calibration algorithms.

                          -

                          Clearpath\'s OTTO Motors robots lead the industry in self-driving materials handling, and you can help us push robotics to the next level of intelligence and performance. This means continually learning, inventing, and implementing new algorithms, all with an emphasis on robust and reliable best practice programming. We\'re looking for people excited to develop the next generation of perception algorithms to tackle the toughest challenges in localization and mapping, calibration, sensing, machine learning, computer vision and more.

                          -

                          The perception team’s primary responsibility is the development of the core robotics software responsible for environmental sensing and understanding on all of our vehicles. As a Perception Developer - Calibration and Sensors you will develop & maintain algorithms and processes for the complete continuous calibration of robotic systems and processing of sensor data. You will be creating solutions to the challenging problems of high accuracy intrinsic and extrinsic calibration of heterogeneous sensor configurations and actuators as well as online calibration and sensor processing and monitoring for a wide range of possible robotic platforms. You will be responsible for evaluating state-of-the-art ideas from academia and industry, and taking these ideas out of the lab and into the real world, identifying opportunities to improve, and developing high-performance software to run in real time on the robots.

                          -

                          About You

                          -

                          For the role of Perception Developer - Calibration we are seeking an experienced developer to support, maintain, and extend robotic calibration solutions for a variety of applications.

                          -

                          Responsibilities:

                          -
                            -
                          • Create robust innovative solutions to the problems of robotic calibration and perception
                          • -
                          • Development of custom calibration, sensor monitoring, sensor filtering, and perception algorithms
                          • -
                          • Evaluation of new sensing technology and robotic platforms
                          • -
                          • Work with production to develop processes for sensor calibration methods
                          • -
                          • Develop integration and unit tests for perception features
                          • -
                          • Supporting deployment and testing of robotic systems
                          • -
                          • Stay up to date with the latest developments in industry and academia
                          • -
                          -

                          Skills and experience:

                          -
                            -
                          • Strong theoretical and practical understanding of the challenges and solutions to the problems of robotic system calibration
                          • -
                          • Practical knowledge of sensing technologies including LIDAR, Cameras, IMU, and their error models
                          • -
                          • Familiarity with robotic platforms and their motion models such as differential, ackerman, bicycle, etc.
                          • -
                          • Proficient software development skills in modern C++
                          • -
                          • Proficiency with Linux environment
                          • -
                          -

                          Bonus Points For:

                          -
                            -
                          • Hands-on experience with real world autonomous systems
                          • -
                          • Experience writing efficient, high performance code
                          • -
                          • Experience with ROS / Robotics Systems.
                          • -
                          • Proficiency with linear algebra and non-linear optimization including libraries such as ceres solver and Eigen
                          • -
                          • Experience with computer vision libraries such as PCL and OpenCV.
                          • -
                          • Experience with manufacturing tolerances of robotic systems
                          • -
                          -

                          -

                          Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, gender identity/expression, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                          -

                          ",,http://jobs.jobvite.com/clearpath/job/oKM5mfwH,feed-importer@jobboard.io,,,,2023-05-16T16:20:07.002Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/219397727-autonomy-developer-perception-calibration-at-clearpath,,expired,2023-04-27T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Manufacturing ,Mid-Senior Level,Masters Degree,New Posting, -06b20f10-b0e5-45f0-ae6f-0428faef8223,226981546,BMO Financial Group,Anaplan Modeler,on_site,"Ontario, Canada",2023-05-18T15:39:01.696Z,"
                          -

                          Application Deadline:

                          05/18/2023

                          +

                          As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

                          -

                          Address:

                          VIRTUAL(R)59 - HomeRes - ON - BMO

                          -

                          -

                          Job Family Group:

                          Data Analytics & Reporting

                          -

                          -

                          -

                          -

                          Applies knowledge of advanced analytic algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

                          -
                            -
                          • Acts as a trusted advisor to assigned business/group.
                          • -
                          • Influences and negotiates to achieve business objectives.
                          • -
                          • Recommends and implements solutions based on analysis of issues and implications for the business.
                          • -
                          • Assists in the development of strategic plans.
                          • -
                          • Identifies emerging issues and trends to inform decision-making.
                          • -
                          • Understands and analyzes complex business problem, then formulates data-driven hypotheses to drive business value.
                          • -
                          • Builds effective relationships with internal/external stakeholders and ensures alignment.
                          • -
                          • Supports data collection, integration, and retention requirements for data.
                          • -
                          • Develops experimental design approaches to validate findings or test hypotheses.
                          • -
                          • Defines innovative data solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets.
                          • -
                          • Diagnoses and resolves predictive / analytical model performance issues while monitoring system performance and implementation of efficiency improvements.
                          • -
                          • Applies innovative and best practices to advanced analytics services to ensure high quality standards.
                          • -
                          • Sets up change control and testing processes to ensure the quality and consistency of ongoing maintenance work.
                          • -
                          • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                          • -
                          • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                          • -
                          • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
                          • -
                          • Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
                          • -
                          • Applies scripting / programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                          • -
                          • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, refine hypotheses.
                          • -
                          • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                          • -
                          • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                          • -
                          • Performs experimental design approaches to validate finding or test hypotheses.
                          • -
                          • Uses the appropriate algorithms to discover patterns.
                          • -
                          • Builds effective relationships with internal/external stakeholders and ensures alignment.
                          • -
                          • Supports development of tools and delivers training for data analytics and AI.
                          • -
                          • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                          • -
                          • Leads/participates in the design, implementation and management of core business/group processes.
                          • -
                          • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                          • -
                          • Provides specialized consulting, analytical and technical support.
                          • -
                          • Exercises judgment to identify, diagnose, and solve problems within given rules.
                          • -
                          • Works independently and regularly handles non-routine situations.
                          • -
                          • Broader work or accountabilities may be assigned as needed.

                            Qualifications:

                            -
                          • -
                          • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                          • -
                          • Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience
                          • -
                          • Experience with distributed computing language (e.g. Hive / Hadoop/ Spark) & cloud technologies (e.g. AWS Sagemaker, AzureML).
                          • -
                          • Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, , Perl) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
                          • -
                          • Deep proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.
                          • -
                          • Deep knowledge and technical proficiency gained through extensive education and business experience.
                          • -
                          • Verbal & written communication skills - In-depth.
                          • -
                          • Collaboration & team skills - In-depth.
                          • -
                          • Analytical and problem solving skills - In-depth.
                          • -
                          • Influence skills - In-depth.
                          • -
                          • Data driven decision making - In-depth.
                          • -
                          -

                          -

                          -

                          We’re here to help

                          -

                          -

                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                          -

                          -

                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                          -

                          -

                          To find out more visit us at https://jobs.bmo.com/ca/en.

                          -

                          -

                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                          -

                          -

                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                          -
                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Virtual-ON-CAN/Anaplan-Modeler_R230009160?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-05-22T15:44:03.460Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/226981546-anaplan-modeler-at-bmo-financial-group,,expired,2023-05-18T15:39:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -41f95990-5296-443f-a7c9-c7eb69b5c533,221076236,Scotiabank,Velocity - Global Risk Management Internship/Co-op - Fall 2023,on_site,Canada : Ontario : Toronto,2023-05-01T17:22:03.650Z,"

                          -

                          +

                          Roche is an Equal Opportunity Employer.

                          +
                          ",,https://careers.roche.com/global/en/job/ROCHGLOBAL202303107193EXTERNALENGLOBAL/Senior-Analytics-Lead,feed-importer@jobboard.io,,,,2023-04-03T17:47:05.253Z,False,0,2,16,https://talenthub.vectorinstitute.ai/jobs/209219956-senior-analytics-lead-at-roche,,expired,2023-03-27T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Health,Senior Level,Bachelors Degree,New Posting, +1e32b42b-adce-4ede-97b3-18f35f12bb8e,210220471,Scotiabank,Data Scientist - Customer Insights Data & Analytics CID&A,on_site,Canada : Ontario : Toronto,2023-03-30T17:22:01.918Z,"

                          -

                          Requisition ID: 177520

                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                          -

                          -

                          Velocity – Global Risk Management Internship/Co-Op – Fall 2023

                          +

                          Requisition ID: 174199

                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                          -

                          Term: September - December 2023

                          -

                          Application Deadline: 05/19/2023

                          +

                          Purpose:

                          -

                          There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                          +

                          The successful candidate will be part of a dynamic, innovative team that supports the Marketing Analytics & Product functions within Scotiabank’s Canadian Bank Analytics group. The individual will develop statistical models, data-mining and analytical solutions to solve a wide array of business problems, including how to drive acquisition, migration and engagement strategies across our customer base.

                          +

                          Scotiabank provides a collaborative work environment where you get to see end-to-end how your work can shape and define strategies. We will provide you the opportunities to gain exposure to different businesses across the organization, a wide variety of analytical tools that will allow you to build complex decision engines and predictive models, work with big data, structured and un-structured.

                          -

                          The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

                          +

                          What will you do in this role?

                          -

                          What is Global Risk Management?

                          -

                          -

                          Our Global Risk Management teams are highly diverse groups, with a variety of streams that filter into various Risk areas. These different streams include Market Risk, Business Banking Credit Risk, Enterprise Risk, Financial Crimes Risk Management (AML), and Retail Risk, where there are significant opportunities to gain a breadth of exposure within your focus area. Successful candidates will bring strong technical skills relevant to their chosen area, in addition to excellent communication and time management skills. Some roles like Enterprise Risk, for example, will carry a higher focus on risk modelling and analytics, while others like Market Risk will be tied to capital markets activities. If this sounds interesting and exciting to you, we encourage you to research the area you’re most passionate about in the space of Risk Management and apply today!

                          -

                          -

                          About the GRM, Business Banking Credit Risk Stream:

                          -

                          The Business Banking Credit Risk teams provide credit adjudication and risk oversight for an assigned portfolio within Global Banking & Markets (GBM), Canadian Commercial Banking (CCB) and International Banking (IB) by ensuring that the portfolio is maintained in sound condition with the Bank’s current credit policy.

                          -

                          -

                          About the GRM, Enterprise Risk Stream:

                          -

                          GRM’s Enterprise Team provide 2nd line governance and oversight to our business lines and support function partners in managing their non-financial risks across many categories. The risk domains you’ll directly cover are non-financial risks, which would include Operational Risk, Third Party Risk, Model Risk and Environmental Risk where the team drives methodology and provides 2nd line oversight and challenge.

                          -

                          -

                          About the GRM, Financial Crimes Risk Stream:

                          -

                          The Financial Crimes Risk Management (FCRM) Team provides oversight over the banks Anti-Money Laundering, Anti-Terrorist Financing, and sanctions compliance program, including design and effective implementation. The program is designed to mitigate the risks of Scotiabank products or services being used for prohibited activities; and ensure compliance with the laws and regulations applicable to the bank.

                          -

                          -

                          About the GRM, Market Risk Stream:

                          -

                          The Market Risk stream provides risk oversight for the trading and treasury portfolio in the Bank. Working in close collaboration with the business line, our Market Risk teams ensure market risks are understood and controlled. This involves understanding risk/reward trade offs and working with front office staff to help facilitate business success. Across the team, roles range from quantitative modelling to risk oversight with a strong connection to capital market dynamics.

                          -

                          -

                          About the GRM, Retail Credit Risk Stream:

                          -

                          The Retail Credit Risk stream is comprised of multiple areas including Risk Technology, Retail Risk Secured Lending and Small Business, and Retail Risk Data and Analytics. Across these areas, teams work on data manipulation, risk technology project work, customer analytics and portfolio management all with a credit risk perspective. This includes analyzing the effectiveness of risk strategies, performing portfolio trend analysis, and pulling, summarizing, and presenting data. In each of these rotations, you will have regular interactions with senior management.

                          -

                          -

                          Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                          -
                          • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                          • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions and/or hackathons.
                          • You are currently working towards completion of an undergraduate, post-graduate certificate, MBA or Masters program in Finance, Economics, Risk Management, or related financial discipline
                          • Strong analytical skills and experience with financial statement analysis, financial concepts, and accounting principles and practices
                          • Knowledge of Python, SQL, VBA, MS Office is an asset
                          • Strong verbal and written communication skills to report complex outputs and findings in a concise and comprehensive manner
                          • Attention to detail with a strong ability to multi-task while maintaining a high work standard
                          • Demonstrated flexibility in adapting to constantly changing environments
                          • -
                          -

                          -

                          What’s in it for you?

                          -
                          • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                          • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                          • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                          • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                          • +
                            • Design and integrate customer segmentation, channel analytics, campaign optimizations and recommendation/decision engines to help elevate our customer’s experiences across various channels and move to a personalized 1:1 customer journey
                            • Synthesize data across multiple platforms to identify trends and deliver key insights and business recommendations around a customer-first approach to driving engagement and results across our marketing channels and campaigns, to then bringing these recommendations to market through execution and measurement
                            • Act as a modelling and analytics generalist, provide subject matter expertise on modelling/segmentation, advanced analytics, data mining and statistical analysis to internal stakeholders
                            • Ability to validate and measure effectiveness of customer/channel/campaign strategies to continually make ongoing changes and improvements
                            • Supporting key information technology initiatives, such as enhancements in single view of customer, customer/ channel data warehouse, CRM and campaign management tools
                            • Effectively communicate results of highly technical projects to stakeholders and deliver high quality, high impact analytical solutions to business problem
                            -

                            -

                            This program is for students who are working towards completing a college diploma, undergraduate degree, or graduate degree who are looking to secure an exciting opportunity to join a forward-thinking company surrounded by a collaborative team of innovative thinkers and bring a strong curiosity and solutions-focused mindset to their work. They manage internal and external relationships exceptionally well and are focused on doing the right thing. They challenge themselves and the team members around them to find the best solutions possible. They bring a solutions-focused Attitude, they recognize Opportunities to not only learn but to contribute to team outcomes, and they show Ownership over their work and deliverables.

                            -

                            How do I apply?

                            -

                            For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                            -

                            -
                            1. Complete your PLUM Profile here and save as a screenshot.
                            2. Complete a short one-way video interview here.
                            3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
                            4. -
                            -

                            -

                            *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                            -

                            -

                            Location(s): Canada : Ontario : Toronto

                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                          ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Global-Risk-Management-InternshipCo-op-Fall-2023-ON/569912117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-22T15:57:03.736Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/221076236-velocity-global-risk-management-internship-co-op-fall-2023-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Global-Risk-Management-InternshipCo-op-Fall-2023-ON/569912117/,expired,2023-05-01T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -ee694135-d559-4d58-9dc2-6eee6dc73d29,226183484,RBC,Senior Analytics Manager,on_site,"Toronto, ON, Canada",2023-05-16T15:47:02.549Z,"
                          -

                          Come Work with Us!

                          At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                          Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                          -

                          Job Title

                          Senior Analytics Manager

                          -

                          -

                          Job Description

                          -

                          What is the opportunity?

                          -

                          -

                          To be a part of a global, exciting and forward-thinking Data Products team within Internal Audit that are focused on building insight-driven applications to provide enhanced assurance across Sarbanes-Oxley (SOX) & Internal Audit Shared Services. As RBC continues to evolve in response to new challenges that impact financial markets across the globe, Internal Audit have been proactive in transforming their approach from traditional auditing, to data-informed decision making when assessing and challenging the management of risk across the business.

                          +

                          Do you have the skills that will enable you to succeed?

                          +

                          +
                          • Analytical background: preferably Master or PhD degree with a quantitative focus, such as statistics, applied mathematics, economics, computer science
                          • 5 years of related experience needed, preferably within a financial, retail or consulting industry, customer segmentation and channel analytics an asset
                          • Demonstrated experience of developing and implementing statistical models (predictive & descriptive) and advanced analytics with hands-on experience with Python, SAS and Google Cloud Platform (BigQuery, Looker and Vertex AI etc.)
                          • Experience with relational databases and solid SQL skills (SQL Server, DB2, MySQL)
                          • Experience with Bash/Unix Shell Scripts with Python/Docker/Airflow used for automating tasks
                          • Familiar with container-based deployments using Docker, working with Docker images, Docker Hub and Docker-registries and Kubernetes.
                          • Familiar with Hadoop Big Data ecosystem (Hive, Spark, Pig, Sqoop) an asset.
                          • Demonstrated experience developing and implementing recommendation engines in a multi-channel marketing environment an asset
                          • Strong business acumen: understanding of business and financial models and ability to link communication tactics to strategic objectives from a financial perspective
                          • Self-motivated, strong quantitative skills, attention to detail, a high aptitude for problem solving and a natural interest in understanding customer behavior
                          • +
                          +

                          +

                          What's in it for you?

                          +

                          +
                          • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                          • We provide you with the tools and technology needed to succeed
                          • You'll get to work with and learn from diverse industry leaders
                          • We offer a competitive total rewards package that includes a base salary, a performance bonus, company matching programs (on pension & profit sharing), 4 weeks of vacation, personal & sick days, paternity/maternity leave top-ups and much more.
                          • +
                          +

                          +

                          Location(s): Canada : Ontario : Toronto

                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                          ",,https://jobs.scotiabank.com/job/Toronto-Data-Scientist-Customer-Insights-Data-&-Analytics-CID&A-ON-M5C2W1/567968617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-03T17:27:03.246Z,False,0,2,12,https://talenthub.vectorinstitute.ai/jobs/210220471-data-scientist-customer-insights-data-analytics-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Scientist-Customer-Insights-Data-&-Analytics-CID&A-ON-M5C2W1/567968617/,expired,2023-03-30T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +e281fd2a-2eb3-4c21-ae36-b1370a9b4215,203169144,BMO Financial Group,"Analyst, Business Analytics & Reporting - Personal & Business Banking - Summer 2023 (Co-op/Internship) - 4 Months",on_site,"Ontario, Canada",2023-03-09T17:12:01.898Z,"
                          +

                          Application Deadline:

                          03/30/2023

                          -

                          The RBC CAE Group leverages a unique perspective— with a coordinated view across the entire business—to deliver valuable advice that not only gives assurance, but that illuminates a bigger picture, connects dots, builds best practices and broadens possibilities. We connect intelligence to protect and enable RBC.

                          +

                          Address:

                          33 Dundas Street West

                          +

                          +

                          Job Family Group:

                          Data Analytics & Reporting

                          +

                          +
                          +
                          +
                          As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.
                          +

                          -

                          What will you do?

                          -
                            -
                          • Apply your skills in data exploration, statistical analysis and machine learning on a diverse range of data sources to identify insights and opportunities to develop data products.
                          • -
                          • Use your curiosity and own initiative to develop innovative solutions to a wide and ever-changing set of complex problems across RBC.
                          • -
                          • Automate and productionize the testing of key business and IT controls to enable auditors in continuously monitoring key risks across the enterprise.
                          • -
                          • Collaborate with other data analysts, data engineers, data product leads and data scientists within Internal Audit to scale your ideas from concept to production.
                          • -
                          • Help develop the vision for automated control test and process enhancements, supporting with the development of business cases, development requirements, product roadmaps, and product backlogs.
                          • -
                          • Take ownership in driving the Data Products strategy across a wide portfolio of internal audit.
                          • -
                          • Design, develop and maintain productionized applications and dashboards for our end users.
                          • -
                          +

                          Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO First Friend peer assignment, BMO Social Squad student-led activities, BMO U corporate learning platform and access to various Employee Resource Groups to further develop your network within BMO.

                          -

                          What do you need to succeed?

                          -

                          Must have

                          -
                            -
                          • Degree in a quantitative field, and experience with either Python or R as well as SQL
                          • -
                          • Experience building natural language processing (NLP) and unsupervised learning models
                          • -
                          • Strong grasp of fundamentals in statistics (hypothesis testing, regression, inference)
                          • -
                          • Ability to own and manage a backlog, with a value-based understanding of all stakeholders. Excellent collaborator and stakeholder management experience.
                          • -
                          • Demonstrated experience exploring large, complex datasets for the purpose of anomaly detection and latent pattern recognition
                          • -
                          +

                          Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Twitter @BMOonCampus & Instagram @BMO_on_Campus.

                          -

                          Nice to have

                          -
                            -
                          • Experience developing interactive and sophisticated dashboards in Tableau (or similar tool) and experience working with Dataiku
                          • -
                          • Understanding of software engineering design principles
                          • -
                          • Demonstrated experience building strong relationships and communicating effectively with both technical and non-technical stakeholders
                          • -
                          • Project Management Experience and Lean Six Sigma Yellow Belt or equivalent in process improvement
                          • -
                          +

                          Please ensure you upload your resume, cover letter and transcript in the ‘Upload a file’ section prior to submitting your application.

                          -

                          What’s in it for you?

                          -

                          We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                          +

                          Please note: Only students currently enrolled in an academic program and returning to their studies will be considered for our Co-op/Internship opportunities. Student who recently graduated are invited to apply to our New Grad opportunities which are available at: https://jobs.bmo.com/ca/en/new-grad

                          +
                          +
                          +

                          +

                          +

                          Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                            -
                          • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation
                          • -
                          • Leaders who support your development through coaching and managing opportunities
                          • -
                          • Work in a dynamic, collaborative, progressive, and high-performing team
                          • -
                          • Opportunities to do challenging work
                          • -
                          • Flexible work/life balance options
                          • +
                          • Designs, develops, and implements innovative analytical solutions.
                          • +
                          • Designs and produces regular and ad-hoc reports, and dashboards.
                          • +
                          • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                          • +
                          • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                          • +
                          • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                          • +
                          • Analyzes data and information to provide subject-matter insights and recommendations.
                          • +
                          • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                          • +
                          • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                          • +
                          • Builds effective relationships with internal/external stakeholders.
                          • +
                          • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                          • +
                          • Completes complex & diverse tasks within given rules/limits and may include handling escalations from other employees.
                          • +
                          • Analyzes issues and determines next steps.
                          • +
                          • Broader work or accountabilities may be assigned as needed.

                            Qualifications:

                            +
                          • +
                          • Typically between 2 – 3 years of relevant experience and post-secondary degree in related field of study desirable or an equivalent combination of education and experience.
                          • +
                          • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Good.
                          • +
                          • Specialized knowledge.
                          • +
                          • Verbal & written communication skills - Good.
                          • +
                          • Organization skills - Good.
                          • +
                          • Collaboration & team skills - Good.
                          • +
                          • Analytical and problem solving skills - Good.
                          -

                          -

                          -

                          Job Summary

                          -

                          Address:

                          TORONTO, Ontario, Canada

                          City:

                          CAN-NS-BEDFORD, CAN-ON-TORONTO

                          Country:

                          Canada

                          Work hours/week:

                          37.5

                          Employment Type:

                          Full time

                          Platform:

                          Internal Audit

                          Job Type:

                          Regular

                          Pay Type:

                          Salaried

                          Posted Date:

                          2023-05-05

                          Application Deadline:

                          2023-05-20
                          -

                          Inclusion and Equal Opportunity Employment

                          -

                          At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                          ​​​​​​​
                          We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                          -
                          -

                          Join our Talent Community

                          Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                          Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                          -
                          ",,https://jobs.rbc.com/ca/en/job/R-0000059033/Senior-Analytics-Manager,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-05-22T15:52:04.312Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/226183484-senior-analytics-manager-at-rbc,,expired,2023-05-16T15:47:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Vector Quick Apply,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -4cac1101-2886-497b-919b-182ea620e89a,222290806,TD Bank Group,Model Risk Management Intern/Co-op,on_site,"Toronto, ON",2023-05-04T17:24:07.485Z,"
                          +

                          +

                          +

                          We’re here to help

                          +

                          +

                          At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                          +

                          +

                          As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                          +

                          +

                          To find out more visit us at https://jobs.bmo.com/ca/en.

                          +

                          +

                          BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                          +

                          +

                          Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                          +
                          ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Analyst--Business-Analytics---Reporting---Personal---Business-Banking---Summer-2023--Co-op-Internship----4-Months_R230004484?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa&company=99ba898c88ac011c8a873c01f2016c06,feed-importer@jobboard.io,https://jobs.bmo.com/ca/en,,,2023-04-03T17:17:02.673Z,False,0,11,49,https://talenthub.vectorinstitute.ai/jobs/203169144-analyst-business-analytics-reporting-personal-business-banking-summer-2023-co-op-internship-4-months-at-bmo-financial-group,,expired,2023-03-09T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +254a9d40-5712-4315-a1f9-b510c45f397f,210221116,TD Bank Group,Sr Business Insights Analyst,on_site,"Toronto, ON",2023-03-30T17:24:03.129Z,"

                          Company Overview

                          -

                          All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                          -

                          Why TD?

                          -

                          TD’s Colleague Promise: A better you. A better us.

                          -

                          A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                          +

                          Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                          +

                          Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                          Department Overview

                          -
                          -

                          Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                          -

                          Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                          -
                            -
                          • Leadership talks with key Leaders from across the organization
                          • -
                          • Lunch and Learns on topics such as Innovation
                          • -
                          • Diversity and Inclusion and Personal Branding and so much more
                          • -
                          -

                          For TD Bank Group to grow profitably, it must selectively take and manage risks. TD recognizes that a strong risk culture and approach to risk management is fundamental to our success.

                          -

                          TD’s risk management approach is comprehensive and proactive and combines experience and specialized knowledge of individual business segments, risk professionals, and the corporate oversight functions. It is based on enabling TD’s business to understand their risks and developing the policies, processes and controls required to manage these risks appropriately in line with the Bank’s strategy and risk appetite.

                          -
                          +

                          The TD Wealth Shared Services (“WSS”) Wealth Data & Analytics team is responsible for Pan-Wealth sales, performance management/coaching and informational needs that can be addressed through production reporting and providing value added business/data insights, intelligence, ideas, advice, or support.

                          The team provides the holistic Pan-Wealth lens towards effective, agile, scalable, and efficient reporting and insights services to support the businesses and leaders. The Wealth businesses include Private Wealth Management, Financial Planning, Direct Investing, TD Mutual Funds and Operations
                          .

                          Job Description

                          -

                          Risk Management is a key Corporate Function supporting the front-line businesses within TD with over 1,800 employees in offices in Canada, United States, UK and Singapore. We partner internally with many different areas of TD as well as our business partners to ensure we exceed our client’s expectations, and employees to focus on a positive employee experience. We work externally with regulators to align with industry standards and benchmark ourselves against best practices.

                          -

                          As a student part of the TD Risk Management Co-op program you will have the opportunity to join different development workshops, seminars and lunch and learns. We will provide you the necessary tools, resources and guidance to achieve both business and personal goals.

                          +

                          About this Role

                          +

                          The role requires strong data analytical skills and working knowledge of business intelligence tools, paired with advanced problem-solving skills and a keen business acumen to provide accurate reporting, analysis, and value-added business insights to support one or more lines of business within TD Wealth.

                          +

                          The analyst will work closely with business partners, fellow team members, and the Delivery Leads to define and document business and user requirements, source data, and design and deliver end-to-end accurate and timely data-driven solutions.
                          The analyst will also be responsible for developing, maintaining, and enhancing existing reports and dashboards.

                          +

                          Primary Responsibilities

                          +
                            +
                          • Provide specialized end-to-end reporting support and business insights for one or more business partners.
                          • +
                          • Develop and deliver specialized data-driven solution such as dashboards from multiple data sources such as enterprise data infrastructure, localized data marts and other data sources.
                          • +
                          • Review, analyze and understand the data and data sources to ensure that all business requirements are met, and that reporting is comprehensive and accurate.
                          • +
                          +
                            +
                          • Evaluate and optimize existing business processes to improve accuracy, stability, and timeliness of deliveries
                          • +
                          • Maintain documentation processes using required standards and participate in cross-training to support business continuity planning.
                          • +
                          • Comply with all compliance/audit requirements with respect to process documentation and best practices
                          • +

                          Requirements

                          +What can you bring to TD?
                          Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                            -
                          • Currently enrolled in an undergraduate degree majoring in Business, Statistics, Mathematics, Financial Analysis, Risk Management, Computer Science or equivalent, with the intent of going back to school at of the start of your work term
                          • -
                          • Relational database SQL skills for data mining, extraction and statistical analysis.
                          • -
                          • Strong excel Advanced MS Excel and MS Access for data analysis (Pivot, Filter, Formulas, Vlookup, VBA)
                          • -
                          • Dedicated, detail oriented, and an ability to propose creative solutions
                          • -
                          • Written & verbal communication skills
                          • -
                          • Quick learner
                          • -
                          • High degree of personal initiative
                          • +
                          • 3-5 years of relevant experience in a data analyst, data engineering or reporting role.
                          • +
                          • Advanced data analytics and visualization skills.
                          • +
                          • Strong data visualization skills using a BI tool such as Tableau or PowerBI.
                          • +
                          • Strong and advanced skills using SQL, Python or PySpark.
                          • +
                          • Demonstrated ability to work with different data sources and formats.
                          • +
                          • Ability to do detailed code reviews and give thoughtful feedback.
                          • +
                          • Strong analytical and problem-solving skills with ability to critically evaluate issues and find optimal solutions.
                          • +
                          • Excellent verbal and written communications skills with the ability to influence individuals at different levels of the organization.
                          • +
                          • Excellent presentation skills to create visually appealing, persuasive, effective presentations.
                          • +
                          • Highly organized and able to prioritize and handle a variety of tasks and responsibilities simultaneously and efficiently
                          -
                          -Skills that are not required, but considered an asset:

                          +

                          Nice to have

                            -
                          • Knowledge of Financial Industry/Risk Management
                          • -
                          • Experience using Business Intelligence Reporting tools such as Cognos or Tableau
                          • -
                          • Microsoft Visio would be an asset
                          • -
                          • MS Project
                          • +
                          • Knowledge of machine learning algorithms.
                          • +
                          • Experience with Microsoft Azure and Databricks.
                          • +
                          • Working knowledge of source code control tool such as GIT or bitbucket
                          -
                          +

                          Education

                          +
                          • University/College education with focus on business, finance, statistics, engineering, or equivalent work experience

                          Additional Information

                          -
                          -

                          Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.

                          -
                            -
                          • This position is a 4-month work term and will commence Sept 5th – Dec 22nd, 2023
                          • -
                          • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                          • -
                          • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                          • -
                          • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
                          • -
                          -

                          LOCATION
                          Hybrid work model, centered in Toronto. TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements.

                          -
                          +
                          This job is hybrid with minimum of 2-3 days work from office.

                          +

                          #LI-Hybrid

                          -

                          Start Date

                          -
                          – Fall
                          +

                          Flexible Work Options

                          +
                          N/A
                          +

                          +

                          Hours

                          +
                          37.5

                          Inclusiveness

                          At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                          -
                          ",,https://jobs.td.com/en-CA/jobs/18306694/model-risk-management-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-23T21:28:00.000Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/222290806-model-risk-management-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18306694/model-risk-management-intern-co-op-toronto-ca/,expired,2023-05-04T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -0e30e958-8839-4028-a5f6-3d69600dc115,217992035,Clearpath,Senior Autonomy Developer - Calibration and Sensors,on_site,"Ontario, Canada",2023-04-23T17:42:04.481Z,"

                          Description

                          -

                          Position: Senior Autonomy Developer - Calibration and Sensors
                          Location: Kitchener, Ontario
                          Job Type: Full-Time Permanent
                          Experience: 3+ Years Relevant Work Experience
                          Education: Masters or PhD Degree in a related field
                          Division: OTTO Motors

                          -


                          About OTTO Motors, a division of Clearpath Robotics

                          -

                          At OTTO Motors, we believe material handling is one of the most dangerous and unproductive parts of modern industrial operations. Our mission is to create safer, more productive and fulfilling workplaces with autonomous material handling technology. Most recently, OTTO Motors was recognized among the top 1% of Canada’s highest-performing global private companies by Communitech. Our loyal customers are also the most recognizable brands in the world and trust OTTO Motors to fulfill their mission-critical material handling needs: General Electric, Toyota, Hershey, Caterpillar, Berry Global, and more. For more information about us, visit www.ottomotors.com.

                          -

                          About the Job

                          -

                          The OTTO Motors division of Clearpath is looking for a Perception Developer to work on the Perception Team in the Vehicle Software Group to focus on the development of sensor calibration algorithms.

                          -

                          Clearpath\'s OTTO Motors robots lead the industry in self-driving materials handling, and you can help us push robotics to the next level of intelligence and performance. This means continually learning, inventing, and implementing new algorithms, all with an emphasis on robust and reliable best practice programming. We\'re looking for people excited to develop the next generation of perception algorithms to tackle the toughest challenges in localization and mapping, calibration, sensing, machine learning, computer vision and more.

                          -

                          The perception team’s primary responsibility is the development of the core robotics software responsible for environmental sensing and understanding on all of our vehicles. As a Perception Developer - Calibration and Sensors you will develop & maintain algorithms and processes for the complete continuous calibration of robotic systems and processing of sensor data. You will be creating solutions to the challenging problems of high accuracy intrinsic and extrinsic calibration of heterogeneous sensor configurations and actuators as well as online calibration and sensor processing and monitoring for a wide range of possible robotic platforms. You will be responsible for evaluating state-of-the-art ideas from academia and industry, and taking these ideas out of the lab and into the real world, identifying opportunities to improve, and developing high-performance software to run in real time on the robots.

                          -

                          About You

                          -

                          For the role of Perception Developer - Calibration we are seeking an experienced developer to support, maintain, and extend robotic calibration solutions for a variety of applications.

                          -

                          Responsibilities:

                          -
                            -
                          • Create robust innovative solutions to the problems of robotic calibration and perception
                          • -
                          • Development of custom calibration, sensor monitoring, sensor filtering, and perception algorithms
                          • -
                          • Evaluation of new sensing technology and robotic platforms
                          • -
                          • Work with production to develop processes for sensor calibration methods
                          • -
                          • Develop integration and unit tests for perception features
                          • -
                          • Supporting deployment and testing of robotic systems
                          • -
                          • Stay up to date with the latest developments in industry and academia
                          • -
                          -

                          Skills and experience:

                          -
                            -
                          • Strong theoretical and practical understanding of the challenges and solutions to the problems of robotic system calibration
                          • -
                          • Practical knowledge of sensing technologies including LIDAR, Cameras, IMU, and their error models
                          • -
                          • Familiarity with robotic platforms and their motion models such as differential, ackerman, bicycle, etc.
                          • -
                          • Proficient software development skills in modern C++
                          • -
                          • Proficiency with Linux environment
                          • -
                          -

                          Bonus Points For:

                          -
                            -
                          • Hands-on experience with real world autonomous systems
                          • -
                          • Experience writing efficient, high performance code
                          • -
                          • Experience with ROS / Robotics Systems.
                          • -
                          • Proficiency with linear algebra and non-linear optimization including libraries such as ceres solver and Eigen
                          • -
                          • Experience with computer vision libraries such as PCL and OpenCV.
                          • -
                          • Experience with manufacturing tolerances of robotic systems
                          • -
                          -

                          -

                          Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, gender identity/expression, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                          -

                          ",,http://jobs.jobvite.com/clearpath/job/o4dRlfwd,feed-importer@jobboard.io,,,,2023-05-24T19:22:04.460Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/217992035-senior-autonomy-developer-calibration-and-sensors-at-clearpath,,expired,2023-04-23T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -03e1029d-7c33-4823-8619-c1972ed70c21,218282684,Scotiabank,"First Nations, Metis, Inuit - Manager, Data and Analytics, CID&A (Remote or Hybrid)",on_site,Canada : Ontario : Ottawa || Canada : Ontario : Kingston || Canada : Ontario : Sudbury || Canada : Ontario : Thunder Bay || Canada : Ontario : Toronto,2023-04-24T17:22:02.114Z,"

                          +
                          ",,https://jobs.td.com/en-CA/jobs/17998521/sr-business-insights-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-03T17:29:04.818Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/210221116-sr-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17998521/sr-business-insights-analyst-toronto-ca/,expired,2023-03-30T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,College Diploma,New Posting, +a77d5d79-b39e-421a-b23f-149e36c5d6f9,202114053,Scotiabank,Global Banking and Markets - Investment Banking Intern/Co-op - Summer 2024,on_site,Canada : Ontario : Toronto,2023-03-06T17:22:04.478Z,"

                          -

                          Requisition ID: 177225

                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                          +

                          Requisition ID: 174796

                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                          -

                          First Nations, Metis, Inuit - Manager, Data and Analytics, CID&A (Remote or Hybrid)

                          +

                          Term: May-August 2024

                          +

                          Location: Toronto

                          -

                          This posting is intended for Indigenous Peoples as a Special Program under the Human Rights Act and the Employment Equity Act. Indigenous Peoples include status, non-status First Nation, Métis, and Inuit People under the Employment Equity Act within Canada. Scotiabank provides extended benefits to Indigenous employees aimed at supporting and promoting their culture.

                          +

                          There's no better way to find your dream job than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                          +


                          Who we are:

                          -

                          Who We Are:

                          +

                          Global Banking & Markets provides a full range of investment banking, credit and risk management products and services relevant to the financing and strategic development needs of our clients. Our products include debt and equity financing, mergers & acquisitions, corporate banking, institutional equity sales, trading and research, fixed income products, derivatives, energy, foreign exchange and precious & metals. We also cross-sell the full range of wholesale products and services offered by the Scotiabank Group.

                          -

                          The Customer Insights, Data & Analytics team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data.

                          +

                          The Co-op Analyst Program at Scotiabank is designed to introduce undergraduate students to the stimulating and challenging career of investment banking involving debt and equity financings, mergers and acquisitions, financial advisory work and business development in several industry sectors. Co-op Analysts will learn to perform complex financial analysis such as market comparisons, company valuations and pro-forma financial modeling. In addition, Co-op Analysts prepare company and industry specific research to support financial valuations.

                          +

                          +

                          Putting forth a strong and consistent effort is critical to the success and development of an Analyst at Scotiabank. Co-op Analysts must have a strong work ethic, be accommodating and maintain extremely high professional standards. A Co-op Analyst is typically involved in a number of deals and projects at the same time and will work with several senior group members concurrently. Balancing the requirements of multiple deal assignments and/or projects can be very demanding. The challenging nature of the work, combined with long hours at the office requires intense effort and dedication. Co-op Analysts must also be willing to work extended business hours, including weekends as required, in order to meet multiple work deadlines.

                          +

                          +

                          Co-op Analysts will have access to the Global Banking and Markets Learning Program, focusing on Capital Markets, Investment Banking, Corporate Banking, Equity Research, Financial Engineering etc. In addition, Interns will have an opportunity to meet and network with students working across Scotiabank and get involved in the Scotiabank Student Social Committee.

                          +

                          +

                          Is this role right for you? In this role, you will:

                          +

                          +
                          • Evaluating and analyzing the financial needs of corporate clients, including the development of financial models, marketing materials and presentations
                          • Generally supporting client pitch and deal execution efforts
                          • Financial and written analysis of companies and industries, including the development of valuation models, pro-forma financial statements and comparable company analysis, etc.
                          • Sourcing the data required to perform financial analysis
                          • Drafting prospectuses and marketing presentations for transactions
                          • Preparing client presentations
                          • Applying product and capital markets knowledge to help clients achieve their financial objectives.
                          • +

                          -

                          Are you the right person for the role?

                          -


                          • You have strong business acumen, and you excel at developing and communicating analytics insights.
                          • You are not afraid to challenge the status quo.
                          • You have a deep curiosity about data, processes, and customer behaviour. You are always asking “why?”
                          • You can pivot and adapt to change.
                          • You spend your free time tinkering with new technologies or building apps on the side.
                          • You want to find a solution to real life problems that will flip the multi-billion-dollar financial industry on its head.
                          • You have a high aptitude for diving in, taking ownership and picking up new things.
                          • You're eager to share your ideas in a team environment.
                          • You have an open, honest, and transparent communication style, including the ability to distil technical details into human terms.

                          -


                          What will you do in this role?

                          -


                          • Champion change in the bank by promoting data literacy, data analytics, and data informed decision making.
                          • Build, manage and grow relationships with product, design, and engineering teams by enabling data driven decision making.
                          • Understand performance trends, identify opportunities for growth, and provide actionable insights.
                          Work cross functionally to define data strategy and analytics roadmap for business initiatives, collaborating with various teams across the Bank.
                          • Proactively identify, and drive analytics solutions to improve customer experience in collaboration with Data Scientists.
                          • Deep dive into data to identify opportunities, influence product development, and/or overall functional and business strategies.
                          • Collaborate with data scientists, data engineers, and operational teams to create, deliver and implement analytics solutions or data products.
                          • Communicate and coordinate with teams to implement data-driven strategies while measuring progress
                          • Conduct analysis and present performance results to business line stakeholders.
                          • Develop and produce analyses, reports, and insights for partners that help drive tactical, operation, and/or strategic decision making in support of Digital Banking goals.

                          -


                          Do you have the skills that will enable you to succeed in this role?

                          +

                          Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                          -

                          • You have 3-5+ years of experience with data management, data analysis, project management, data governance or advanced analytics.
                          • You have a certification or university degree in business or in a relevant STEM discipline (Computer Sciences, Computer/Software Engineering, Mathematics, Statistics) or equivalent experience.
                          • Strong project management and communication skills (both oral and written).
                          • Proven data literacy and excellent storytelling — The ability to simplify and describe complex analytical concepts to stakeholders outside of analytics.
                          • Ability to manage process and planning, facilitate teamwork, and coordinate execution of multiple deliverables.
                          • You are knowledgeable about Big Data ecosystem tools (e.g., Hive, Pig, Sqoop, Spark, Google Cloud Platform) and are comfortable with creating large queries.
                          • You are familiar with using visualization tools like Power BI, Tableau or QlikView.
                          • You have excellent analytical skills and can interpret and consolidate large amounts of information in actionable recommendations. You use sound judgment in the creation of analysis, validation, interpretation, and presentation of findings.

                          +
                          • You are currently enrolled in post-secondary education in a Business, Science, Technology, Engineering, Economics or Math discipline
                          • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                          • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions/hackathons.
                          • Proven record of outstanding achievement in academic and extracurricular activities
                          • A clearly defined interest in Investment Banking
                          • Strong quantitative skills focused on financial analysis, accounting and financial theory
                          • Strong written and verbal communication skills
                          • A high level of attention to detail
                          • The ability to manage multiple projects simultaneously while maintaining a high standard of work
                          • High professional standards
                          • Demonstrated ability to quickly adapt to new situations
                          • A strong sense of personal integrity and teamwork
                          • A high level of energy and a keen desire to learn new concepts
                          • Independent thinker and proven ability to make decisions
                          • +

                          -

                          #riskjobsontario

                          +

                          What's in it for you?

                          +

                          +
                          • You’ll be part of a diverse, collaborative, innovative, and high-performing team
                          • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed
                          • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                          • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                          • +

                          +

                          How do I apply?

                          -

                          Location(s): Canada : Ontario : Ottawa || Canada : Ontario : Kingston || Canada : Ontario : Sudbury || Canada : Ontario : Thunder Bay || Canada : Ontario : Toronto

                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                          ",,https://jobs.scotiabank.com/job/Ottawa-First-Nations%2C-Metis%2C-Inuit-Manager%2C-Data-and-Analytics%2C-CID&A-%28Remote-or-Hybrid%29-ON/569727317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-24T19:49:52.944Z,False,0,2,15,https://talenthub.vectorinstitute.ai/jobs/218282684-first-nations-metis-inuit-manager-data-and-analytics-cid-a-remote-or-hybrid-at-scotiabank,https://jobs.scotiabank.com/job/Ottawa-First-Nations%2C-Metis%2C-Inuit-Manager%2C-Data-and-Analytics%2C-CID&A-%28Remote-or-Hybrid%29-ON/569727317/,expired,2023-04-24T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -e3ffba5a-61c1-4a3a-9155-47c83dcca11e,226184574,TELUS,"Product Owner, Data Engineering",on_site,"Ontario, Canada",2023-05-16T16:15:05.894Z,"
                          +

                          For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationshipsover resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential.Instead,we ask that as part of your application you complete the below:

                          +

                          +
                          1. Complete your PLUM Profile here and save as a screenshot.
                          2. Complete a short one-way video interview here
                          3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile and your most recent transcript.
                          4. +
                          +

                          +

                          *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                          +

                          +

                          Location(s): Canada : Ontario : Toronto

                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                          ",,https://jobs.scotiabank.com/job/Toronto-Global-Banking-and-Markets-Investment-Banking-InternCo-op-Summer-2024-ON/568195417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-05T20:25:19.229Z,False,0,4,35,https://talenthub.vectorinstitute.ai/jobs/202114053-global-banking-and-markets-investment-banking-intern-co-op-summer-2024-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Global-Banking-and-Markets-Investment-Banking-InternCo-op-Summer-2024-ON/568195417/,expired,2023-03-06T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +a72d10d7-5093-4832-8878-caf0ca4e2457,202115617,TELUS,API & Data Management Developer,on_site,"Ontario, Canada",2023-03-06T17:42:09.916Z,"

                          Description

                          -


                          Join our team and what we\'ll accomplish together

                          -

                          The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI tooling, high quality data, and a data-product and data platform oriented culture while always keeping an eye on the horizon, preparing for the next big thing. We are entrepreneurial and passionate, believers that so much more is possible and can be achieved by creating value and great outcomes for our customers, team members, communities, and environment and that through meaningful transformation we can integrate dynamic change in our professional lives.

                          The Data Strategy and Enablement team has started its journey towards enabling further digital transformation in our data and advanced analytics space. Composed of Data Engineers, Business Systems Analysts and Data Architects our team focuses on building and enabling best-in-class data platforms with a focus on migrating our major on premise data warehouses to Google’s Cloud Platform. Join a dynamic team that is paving the way towards digital transformation and enable teams across the organization to make better use of data. Make use of your analytical skills and ability to analyze and assess the impact of data on upstream and downstream systems and help clarify and define cloud-related business processes and best practices across TELUS. Help architect the transformation and modernization of our enterprise data solutions and the integration of Google Cloud and native GCP services and 3rd party data technologies.

                          -


                          What you’ll do

                          +

                          Join our team

                          +

                          +

                          The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions. We are doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI tooling and high quality data. We have a data-product and data platform oriented culture and we are always keeping an eye on the horizon, preparing for the next big thing.

                          +

                          +

                          We are entrepreneurial and passionate, believers that so much more is possible and can be achieved by creating value and great outcomes for our customers, team members, communities, and environment and that through meaningful transformation we can integrate dynamic change in our professional lives.

                          +

                          +

                          Our team members appreciate diversity of thinking, ideas and experiences, and are always learning, experimenting and applying tuition value into everything we do.

                          +

                          +

                          The impact you’ll make and what we’ll accomplish together

                          +

                          +

                          As an API & Data Management Developer in the Metadata Management Program, you’ll contribute to the design, development and support of a variety of integration and process automation techniques to ensure accurate ingestion of technical metadata from many source systems. You will design and develop APIs to enable programmatic consumption of metadata by consumers external to the metadata management platform. In addition you will ensure reliable and consistent processing to our Collibra cloud platform and automate information lifecycle management processes using web enabled workflows.

                          +

                          +

                          As a trusted technical expert, you will collaborate with various business units and demonstrate thought leadership when sitting at the intersection between privacy, ethics, technology, data and consumers to ensure it is leveraged in a respectful manner while continuing to advance our reputation of being trustworthy through transparent communication.

                          +
                          +
                          +
                          +

                          Here’s How

                          +

                            -
                          • Lead engagement with various Business Unit (BU) stakeholders across TELUS to understand their business and need for insights.
                          • -
                          • Influence how BU stakeholders approach business challenges and opportunities by driving the adoption of a data driven mindset.
                          • -
                          • Play the critical role of “translator” i.e. translating business problems into data problems and resolving these problems to generate value.
                          • -
                          • Facilitate collaboration between BU stakeholders and our team and lead solutioning including use-case development, defining insight products and their roadmap and end-to-end automation efforts required to bring products to production. Track and prioritize the development of insight products on an ongoing basis and bring visibility to any roadblocks
                          • -
                          • Support development of our team’s strategy, develop/present materials to TELUS executive leadership on an ongoing basis
                          • -
                          • Support in measuring and tracking EBITDA-based value contribution by our team through collaboration with BU stakeholders and Finance
                          • +
                          • Work with business stakeholders on the adoption and onboarding of the TELUS Metadata Management Tool powered by Collibra (training and technical support)
                          • +
                          • Collaborate with business stakeholders to define integration approaches, identify the best techniques, ensure capture and storage of all available metadata, ensure durable API processing is available to subscription customers
                          • +
                          • Support and maintain the API enablement of the TELUS Metadata Management Tool powered by Collibra through the entire lifecycle from design to deployment within the TELUS cloud environment
                          • +
                          • Work with the supporting teams, organizations and vendors to provide updates to existing deployed technologies and collect information from production systems for analysis
                          • +
                          • Define, enable, test and automate scripts for integration and process automation activities including documentation, work products and team presentations as well
                          • +
                          • Develop test strategies and site reliability engineering measures for data products and solutions
                          • +
                          • Participate in agile development scrums and solutions reviews
                          • +
                          • Lead resolution of critical operations issues including post-implementation reviews
                          • +
                          • Contribute to the strategic direction and evolution of TELUS Enterprise Metadata & Data Quality Management application
                          +

                          +

                          Qualifications

                          -


                          What you bring

                          +

                          +

                          You are the missing piece of the puzzle

                            -
                          • You are recognized for addressing business needs via your innovative approach and application of AI and other advanced analytical techniques
                          • -
                          • You are sought out for your skills in strategy development, problem-solving, structured thinking, advanced communication (both verbal and written), project management and bring 5 or more years of hands-on work and practical business experience in the above areas.
                          • -
                          • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences.
                          • -
                          • You are familiar with cloud computing platforms - GCP, AWS, Azure.
                          • -
                          • You are agile and have a bias for action, removing roadblocks to get results fast
                          • -
                          • You are experienced with Subscriber Analysis Application (SAA) from Scorecard Systems for RGU insights
                          • -
                          • You are experienced with Informatica IICS and Powercenter ETL tools
                          • -
                          • You have a strong SQL foundation
                          • +
                          • You are sought out for your strong understanding of Metadata Management, Data Quality, Data Lineage and Data Management
                          • +
                          • You are respected for your knowledge of Solution Development and Data Management Lifecycles
                          • +
                          • You are recognized for your understanding of integration patterns including RESTful architecture and patterns, APIs and event based processing
                          • +
                          • You are hands on in Windows Operating Systems, Unix, Linux, JSOn, Yaml, Swagger and with GCP Kubernetes (GKE), GCP Development and deployment using a CI/CD pipeline including Git, terraform, cloud build and deploy
                          • +
                          • You are commended for your expertise with Collibra - including managing system activities, tenant administration, user groups creation etc
                          • +
                          • You are recognized for your understanding of and experience with programming in JAVA especially Springboot or equivalent, with Collibra and Collibra APIs or GCP SDK experience
                          • +
                          • You are recognized for your understanding of and experience with Oracle, SQL server, GCP BigQuery,PostgreSQL,and NoSQL
                          • +
                          • You are an expert communicator and strategic thinker, able to provide a consultative approach in alignment with the Telco Management Industry Framework
                          • +
                          • You are an excellent and effective presenter able to communicate ideas in a clear and concise manner
                          • +
                          • You are an effective influencer and negotiator, able to be persuasive while upholding commitments to our customers, stakeholders and TELUS’ commitment to integrity
                          • +
                          • Fluency in speaking, reading and writing in English
                          • +
                          • 4+ years Data Engineering experience / 2 year data solution architecture and design
                          -



                          Great-to-haves

                          +

                          +

                          Great-to-Haves

                          +

                            -
                          • You are experienced in the data engineering field and comfortable in leading projects in it.
                          • -
                          • You have GCP or other cloud certification.
                          • -
                          • Scrum Master Certified
                          • -
                          • PMP Certified
                          • +
                          • University degree in computer science and/or 5 years of working experience in Information Management
                          • +
                          • Demonstrable DAMA international BOK Framework knowledge and/or application
                          • +
                          • Demonstrated TM Forum Frameworxs knowledge
                          • +
                          • Fluency in speaking, reading and writing in French
                          +

                          +

                          -
                          ",,https://careers.telus.com/job/Toronto-Product-Owner%2C-Data-Engineering-ON/567097217/,feed-importer@jobboard.io,,,,2023-05-25T20:59:00.000Z,False,0,4,6,https://talenthub.vectorinstitute.ai/jobs/226184574-product-owner-data-engineering-at-telus,,expired,2023-05-16T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Associate,No Degree,New Posting, -375f52c0-6f39-4c0e-bec7-5074bb5b70bb,226183204,CIBC,"Senior Consultant, Digital Analytics Decision Science",on_site,"Ontario, Canada",2023-05-16T15:32:08.212Z,"
                          -

                          We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                          -

                          -

                          At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                          -

                          -

                          To learn more about CIBC, please visit CIBC.com

                          +
                          ",,https://careers.telus.com/job/Toronto-API-&-Data-Management-Developer-ON/568225417/,feed-importer@jobboard.io,,,,2023-04-05T21:12:00.000Z,False,0,2,20,https://talenthub.vectorinstitute.ai/jobs/202115617-api-data-management-developer-at-telus,,expired,2023-03-06T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, +bd03b7fa-0188-484c-86c7-b18758d7c97c,218282683,Scotiabank,"Manager, Digital Analytics Implementation- CID&A",on_site,Canada : Ontario : Toronto,2023-04-24T17:22:02.039Z,"

                          +

                          +

                          +

                          +

                          Requisition ID: 177169

                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                          +

                          +

                          Purpose:

                          +


                          Join the fast based team environment at Scotiabank as a Digital Analytics Strategist. The incumbent is a tagging, data analytics and insight specialist supporting digital marketing and banking initiatives across multiple channels and platforms to help drive engagement, leads, sales and loyalty. The successful candidate will be working with other developers to understand and validate incoming data for data governance (providing suggestions to developers on improvements and technically knowledgeable to review written code). The successful candidate will have the opportunity to collaborate with internal stakeholders as well as IT to help optimize the efficiency and effectiveness of digital marketing campaigns, tagging strategy and data governance.

                          +

                          +

                          Job Responsibilities:

                          +

                          +
                          • Analyze highly complex business requirements; generate technical specifications to design or redesign complex software components and applications
                          • Act as an expert technical resource for modeling, simulation and analysis efforts
                          • Leverage industry best practices to design, test, implement and support a solution
                          • Assure quality security and compliance requirements are met for supported area
                          • Be flexible and thrive in an evolving environment
                          • Adapt to change quickly and adjust work accordingly in a positive manner
                          • +
                          +


                          Key Accountabilities:

                          +

                          +
                          • Determine the design and implementation of digital analytics tracking, tagging, and targeting and provide teams with code for implementation
                          • Manage a variety of analytics (Adobe Analytics) and tag management (Adobe Launch) accounts across multiple geographies
                          • Collaborate with frontend developers, backend developers, and analytic teams to build solutions for measurement of client platforms
                          • Support campaign requirements for pixel and conversion tracking and maintain any link tracking documents
                          • Create dashboards using Adobe Analytics Workspace
                          • Assist in the development and documentation of best practices for improving operational efficiencies within the digital analytics team
                          • Proactively initiate, research, and perform data analysis and provide ad hoc reports to internal stakeholders on web usage, user engagement, and behavioral analytics on websites and email campaigns
                          • Identify patterns and trends in marketing results and online activity and report on findings
                          • Analyze digital marketing data and user behavior patterns to provide valuable insight and to optimize user engagement and improve the effectiveness of marketing campaigns
                          • Monitor site and campaign traffic and determine cross-promotion, cross-sell and lead-gen opportunities
                          • Familiarity with tag audit tools like ObservePoint and Tag Inspector
                          • Identify bugs and erroneous analytics tags and provide solutions to development team
                          • Work with Digital Channels to advise on our continually evolving digital strategy
                          • Ability to provide clear and concise technical direction, expertise, advice and tracking solutions to frontend developers, backend developers, and analytic teams to build tools for measurement of client platforms
                          • +
                          +

                          +

                          Requirements & Qualifications:

                          +

                          +
                          • 2+ years’ strong understanding of all of the following: HTML, CSS and JavaScript
                          • 2 + years: Expertise in Adobe Analytics implementation using Adobe Launch
                          • 2 + years: in configuring web and mobile analytics for multiple clients
                          • Experience in AEP Web SDK
                          • Experience with visualization techniques for data analysis and presentation
                          • Expertise in creating dashboards in Adobe and transforming data from multiple sources
                          • Experience presenting reports and strategic recommendations to clients
                          • Expertise in Google Analytics implementation using Google Tag Manager
                          • Working knowledge of GA4
                          • Working knowledge of Power BI and Google Data Studio
                          • Experience working with digital advertising platforms (Facebook Business Manager, Google Ads, DoubleClick Manager, AppNexus) and search engine optimization is an asset
                          • +
                          +

                          +

                          Location(s): Canada : Ontario : Toronto

                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                          ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Digital-Analytics-Implementation-CID&A-ON-M5C2V9/569681117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-27T17:27:02.977Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/218282683-manager-digital-analytics-implementation-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Digital-Analytics-Implementation-CID&A-ON-M5C2V9/569681117/,expired,2023-04-24T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,No Degree,New Posting, +745dac19-13ac-4342-b279-8754fe24ef5f,217073598,Scotiabank,"Senior Manager, Analytics & Insights",on_site,Canada : Ontario : Toronto,2023-04-20T17:22:03.432Z,"

                          +

                          +

                          +

                          +

                          Requisition ID: 176834

                          Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                          +

                          +

                          Purpose
                          Leads and supports Global Fraud Authentication for all business lines, channels, and products in all markets/countries in which the Bank operates ensuring business strategies, plans and initiatives are executed / delivered in compliance with governing regulations, internal policies and procedures. This role will assist in the establishment of the Global Authentication function for the Bank to prevent Fraud attacks and minimize downstream impacts to customers, operational teams, and the Bank’s bottom line through the implementation of a Global Fraud Authentication Monitoring process. Leads and supports implementation of analytics and reporting to generate insights for Global Fraud Authentication strategies.

                          +


                          Accountabilities

                          +

                          • Leads and supports a customer focused culture throughout their team to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

                          +

                          • Responsible and supports the design, and development of the Bank’s Global Fraud Authentication Monitoring process. This includes development of the strategy to onboard all existing and new data feeds to the dashboard, and creation of a framework to monitor for data feed integrity and quality. This tool will monitor authentication flows globally, while overlaying fraud rates, customer information, and critical investigative data elements. This requires close working relationships with partner teams globally (technical and SME) and leveraging specialized cyber fraud and data/analytics experience to stand-up and manage a top tier control room function to monitor for authentication anomalies across the Bank’s global perimeter.

                          +

                          • Responsible for implementing all analytics and reporting related requirements including technical/functional knowledge of BI tools, enterprise customer data and other data assets. Represents Global Fraud Authentication as a data analytics subject matter expert in Partner and vendor engagements and leads the design and implementation of business intelligence assets for GFA that are aligned to the bank’s strategy.

                          +

                          • Creates reporting, dashboards and trending analysis across Global Fraud Authentication including KPIs and indicators to provide data driven insights and value added analysis to inform strategic decision making including projections and forecasts utilizing statistical modelling and works closely with internal and external Partners to understand and align on business requirements and contribute to the connection of end to end Customer Journey data.

                          +

                          • Supports and contributes to the development of Executive reporting and presentations, as well as a Partner Website and for establishing a roadmap to scale these to provide comprehensive information about authentication, products, all-Bank strategy and status of critical enterprise projects, as well as for supporting the intake process for authentication strategy/solution related requests (many of these are audit and/or regulatory related). These requests require consultation across multiple technical teams/tech partners; various second line teams and multiple operational teams globally. There will be a heavy focus on the cards and payments space and authentication capabilities and structures needed to support step-up authentication to meet industry requirements and timelines, while ensuring compliance with the Bank’s policies and procedures.

                          +

                          • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

                          +

                          • Creates an environment in which their team pursues effective and efficient operations of their respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.

                          +

                          • Builds a high performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment and using a coaching mindset and behaviours; communicating vison/values/business strategy; and, managing succession and development planning for the team.

                          +

                          Education / Experience / Other Information
                          • 3+ years working experience in data analysis, data management and reporting is required
                          • University education in Business, Computer Sciences, Electrical/Computer/Software Engineering, Mathematics or equivalent experience
                          • Proven experience cleaning, transforming and visualizing large data sets working with various data formats (e.g. Enterprise Data Warehouse, Unstructured logs, XML, JSON, flat files, SAS, CSV)
                          • Solid knowledge of Data Analysis or manipulation tools for working with data (e.g. SQL, DB2, MySQL, Python, R)
                          • Expert knowledge using and implementing visualization tools like PowerBI, Tableau or Qlikview
                          • Experience with Big Data ecosystem tools (e.g. Hive, Spark, Google Cloud Platform)
                          • Strong knowledge of and ability to Analyze data volumes, data types and content to support the design of data architecture solutions and ability to define and document data lineage, transformation rules, definitions and ownership of data attributes.
                          • Excellent analytical skills. Must be able to interpret and consolidate large amounts of information in actionable recommendations. Uses sound judgment in the creation of analysis, validation, interpretation and presentation of findings.
                          • Strong presentation and communication skills (oral and written)
                          • Spanish Fluency is preferred
                          • Strong knowledge of Fraud and Authentication is preferred
                          • Knowledge and/or experience with Cyber Security is an asset
                          • Experience in a global Financial Institution or large scale global organization working with retail customer level data is an asset
                          • Working knowledge of the Bank’s products (including payments and cards), risk areas, and protect functions, as well as a basic understanding of Finance
                          • Expert knowledge of MS applications (Work, Excel, Project, PowerPoint & PowerBi)

                          +

                          +

                          Location(s): Canada : Ontario : Toronto

                          Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                          At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                          ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Analytics-&-Insights-ON-M5H1H1/569636817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-28T06:17:00.000Z,False,0,2,13,https://talenthub.vectorinstitute.ai/jobs/217073598-senior-manager-analytics-insights-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Analytics-&-Insights-ON-M5H1H1/569636817/,expired,2023-04-20T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +efa50a2d-7f6a-4c7f-8a92-55cd1480b4db,226184543,Sun Life Financial,"Director, Data Engineering",on_site,"Ontario, Canada",2023-05-16T16:10:02.777Z,"
                          +

                          You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                          -

                          Job Description

                          -

                          Job Description

                          +

                          Job Description:

                          +

                          Role Summary

                          -

                          What You’ll Be Doing

                          -

                          Direct Financial Services (DFS) provides personal and business clients across Canada with direct-to-consumer products and services through strong network of sites and Contact Centers. Lines of business include; CIBC Investor’s Edge, Simplii Financial, and Alternate Solutions Group.

                          +

                          The Data Enablement COE within the Client Experience Office (CXO) at Sun Life is on a mission to transform how the company applies data and analytics to support Sun Life Canada\'s transformation to a client centric, data driven organization.

                          -

                          You’ll be supporting the Data Analytics and Decision Science Director in the Investor’s Edge (IE) division in providing advanced analytics services to drive digital sales and business results. You’ll lead the design, development, and implementation of actionable analytics solutions which help in strengthening the competitive advantage for IE. You’ll collaborate with sales, marketing, product and operation teams to identify and address business needs by leveraging data and analytics.

                          +

                          We are looking for a seasoned and experience leader for the role of Director, Data Engineering. With experience with modern data engineering and cloud data practices, this role will bring strong leadership and influencing skills to lead the development and management of a business led data engineering practice for our CXO and One Sun Data assets. Reporting to the AVP for Data Enablement COE in the CXO, this role will execute on the Canadian Data Strategy pillars for building operational and analytical data products and lead the modernization of our data and analytics platform in our journey to the cloud with relentless focus on generating business value.

                          -

                          At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.

                          +

                          What will you do?

                            -
                          • -Digital Analytics & Business Insights
                              -
                            • Actively lead the development, delivery, and continuous improvement of complex data analytics and visualization solutions.
                            • -
                            • Prepare presentations that clearly and concisely communicate key findings and objectives.
                            • -
                            -
                          • -
                          • -Customer segmentation and Predictive modeling
                              -
                            • Utilize expertise in Statistical and Machine Learning to develop predictive models for customer segmentation and targeted marketing campaigns.
                            • -
                            • Mine and analyze data from company databases and provide insights to drive optimization of product development, marketing techniques and business strategies.
                            • -
                            • Identify new digital sales opportunities to address current or potential opportunities to grow revenue and improve profitability.
                            • -
                            -
                          • -
                          • -Campaign design and management
                              -
                            • Responsible for pre-campaign analysis, understanding key customer journeys and segments across digital channels to provide recommendations on how to personalize and optimize cross channel strategy to improve customer engagement and drive sales.
                            • -
                            • Responsible for in-campaign analysis, analyzing the effectiveness of marketing campaigns by monitoring E2E campaign activities daily.
                            • -
                            • Frequently liaise with key partners and peers to understand campaign requirements, provide expertise on proper experiment design, determine key performance indicators, collect and analyze data..
                            • -
                            • Work with peers and technology teams to design post-campaign marketing performance reporting. Communicate insights and recommendations to improve campaign effectiveness.
                            • -
                            -
                          • -
                          • -Data Management –
                              -
                            • -Work collaboratively with partners to augment/acquire internal and external data and tools. Contribute to the development and management of data sourcing process.
                            • -
                            • Perform data exploration and integration. Ensure the accuracy and integrity of data.
                            • -
                            • Develop strategies that ensure data accuracy, consistency, timely capture and standardization at the various levels.
                            • -
                            • Design solutions to support optimization and automation of processes and reporting.
                            • -
                            -
                          • +
                          • Proactively drive the vision for Customer focused data products, and define and execute on a plan to achieve that vision.

                          • +
                          • Drive the definition of the future state data and analytics platform in the AWS Data ecosystem with our partners in DBTS and use it to lead the migration of the legacy data engineering workloads.

                          • +
                          • Define the processes needed to achieve operational excellence in all areas, including project management and system reliability.

                          • +
                          • Build cross-functional relationships with Data Analysts, Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.

                          • +
                          • Drive the design, building, and launching of new data models and data pipelines in production.

                          • +
                          • Contribute to improving data engineering competency across Sun Life Canada as part of the CDAO mandate.

                          -

                          -

                          How You’ll Succeed

                          +
                            +

                            What do you need to succeed?

                              -
                            • -Data Science Expertise: Provide advanced analytics solutions to solve business problem leveraging traditional statistical, machine learning and optimization techniques. Ability to conduct self-directed research, typically using non-traditional resources to solve business problems.
                            • -
                            • -Business Consulting: Conduct business problem assessment independently. Gather relevant information related to business processes, functions and operations to evaluate data credibility and quality. Utilize creative thinking to modify or select the most suitable procedure/approach to solve a business problem. Perform in-depth analysis for the purpose of identifying revenue generating and cost saving opportunities, developing proposals and make recommendations for model usage to the downstream partners.
                            • -
                            • -Innovative Problem Solving – Actively lead the development, delivery, and continuous improvement of complex data analytics and visualization solutions. Focus on quality, depth of analysis, and clear communication of actionable recommendations.
                            • -
                            • -Collaboration – Continuous collaboration with internal and external partners is key to success. Be open-minded, constantly acquire new knowledge, and share ideas to improve existing processes.
                            • +
                            • Strong communication and leadership experience, with a must-have driver mentality to get things done.

                            • +
                            • 10+ years of experience in engineering data products for operational and/or analytical needs.

                            • +
                            • Experience leading large scale migrations for data and data workloads from legacy to modern cloud based data platforms

                            • +
                            • Experience with designing and architecting data engineering pipelines with AWS Data technologies

                            • +
                            • Data architecture experience with focus on data domains and data platforms

                            • +
                            • Development experience in at least one object-oriented language (Python, Java, etc.) and experience in SQL or similar languages.

                            • +
                            • Experience scaling and managing 10+ person teams.

                            -

                            Who You Are

                            +

                            What will be nice to have?

                              -
                            • -You can demonstrate experience in working with large datasets including both structured and unstructured data and related tools (e.g., SQL, Hive, PySpark). Must have experience coding in high level programming languages such as Python, SAS or PySpark. Extensive experience with PySpark is desired.
                            • -
                            • -You have a degree in Computer Science, Engineering, Mathematics, Statistics, Operational Research, Physics, Economics or related quantitative field.
                            • -
                            • -You\'re digitally savvy. You have technical knowledge specific to digital marketing & analytics, you seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends. Experience with Adobe Analytics and funnel.io would be preferred.
                            • -
                            • Strong analytic skills including a track record of making recommendations based on data driven business insights.
                            • -
                            • Working knowledge of marketing optimization tools and are proficient in using them to derive digital campaign performance.
                            • -
                            • -You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.
                            • -
                            • -Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.
                            • +
                            • Experience with Customer Experience (Digital and Marketing) data.

                            • +
                            • Experience with data modeling for analytical use cases

                            • +
                            • Experience with large volume data sets, Hive/Presto, and data visualization tools.

                            • +
                            • Project management experience, with experience initiating and driving projects.

                            • +
                            • Attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks. To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                            -

                            -

                            What you need to know

                            +

                            What\'s In It For You?

                              -
                            • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                            • -
                            • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                            • +
                            • Competitive salary and bonus structure influenced by market range data

                            • +
                            • 20 days vacation per year and an innovative sabbatical program

                            • +
                            • Great Place to Work® Certified in Canada and the US - 2022

                            • +
                            • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                            • +
                            • Named “Best Places to Work” by Glassdoor - 2021

                            • +
                            • Canada Award for Excellence for Mental Health at Work - 2021

                            • +
                            • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid #LI-Remote

                            • +
                            • A friendly, collaborative and inclusive culture

                            • +
                            • Being part of our Analytics community, where we share best practices and broaden skill-sets

                            • +
                            • Flexible Benefits from the day you join to meet the needs of you and your family

                            • +
                            • Pension, stock and savings programs to help build and enhance your future financial security

                            • +
                            • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                            +

                            The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                            +

                            Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                            +

                            Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                            -

                            -

                            Job Location

                            Toronto-81 Bay, 16th Floor

                            Employment Type

                            Regular

                            -

                            Weekly Hours

                            37.5

                            Skills

                            -

                            Strategic Objectives
                            ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Consultant--Digital-Analytics-and-Optimization_2303750?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-05-25T15:37:01.898Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/226183204-senior-consultant-digital-analytics-decision-science-at-cibc,,expired,2023-05-16T15:32:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -cf53e8bd-3fe6-458d-a345-45ea55f76e33,219389356,Loblaw Companies Ltd,Data Engineer,on_site,"Ontario, Canada",2023-04-27T17:14:01.494Z,"
                            -

                            Referred applicants should not apply directly to this role.

                            -

                            All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                            +

                            At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                            +

                            We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                            -

                            Location:

                            500 Lakeshore Blvd. West, Toronto, Ontario, M5V 2V9

                            +

                            Salary Range:

                            111,100/111 100 - 177,800/177 800

                            +

                            Job Category:

                            Advanced Analytics

                            +

                            Posting End Date:

                            28/05/2023
                            ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Director--Data-Engineering_JR00079376-3?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-05-29T16:15:02.539Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/226184543-director-data-engineering-at-sun-life-financial,,expired,2023-05-16T16:10:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,No Degree,New Posting, +6b2afb8a-d4cb-4391-a745-5a6af4435cd9,226184544,Sun Life Financial,Senior Data Scientist (Remote),on_site,"Ontario, Canada",2023-05-16T16:10:02.819Z,"
                            +

                            You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                            -

                            When you hire great people, great things can happen.

                            -

                            PC Financial offers unprecedented value to Canadians through payment products. We\'re a different kind of bank with a different type of team—we’re collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more.

                            -

                            Proudly serving over 3 million customers, PC Financial continues to grow by offering payment solutions and services that reward our customers every day. As a subsidiary of Loblaws Company Inc., we share the CORE values of Care, Ownership, Respect and Excellence. We are dedicated to helping Canadians Live Life Well. Join us on our journey.

                            +

                            Job Description:

                            +
                            • +

                              Within Sun Life, the Analytics & Insights teams are comprised of savvy and intellectually curious professionals who are on a mission to transform how we apply data and analytics to support Sun Life becoming client-centric. An integral part of the Analytics & Insights organization, the Data Science team supports Canadian business units in their journey to leverage data and analytics as a foundational pillar in delivering business value

                              +

                              -

                              Our mission is to build the PC Bank Payment & Rewards Data Platform, which would serve as an integrated data platform to perform complex big-data processing, advanced analytics, and machine learning. The Data Engineer position is a fantastic opportunity to join our expanding PC Bank Payment & Rewards Engineering team.

                              +

                              Reporting to the AVP, Data Science CoE, as a Senior Data Scientist you will focus on supporting Canadian business units in accelerating the growth and application of analytics in driving value. The senior data scientist will leverage practical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases.

                              -

                              The Data Engineering team is looking for passionate engineers working in a fast-paced organization using Agile/Scrum methodology to deliver excellent solutions for our demanding customer service, operations requirements, and resolving the engineering challenges of building robust and scalable data systems aligned to enterprise data strategy.

                              +

                              Sun Life views success in this role in demonstration of these key attributes:

                              +

                              Fierce curiosity. You are drawn to discovering and leveraging new data and taking on challenging business puzzles. An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing. A passion for solving problems. The most successful data scientists’ solution for what the right data to use, they solve using the most suitable (not most advanced) algorithms for the problem at hand and figure out how to execute and deliver with highest efficiency. Technical skills in both data and computer science. There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured data (SQL) Thirst for learning. You are a data scientist who is constantly updating their knowledge of data science state-of-the-art.

                              -

                              You will participate in defining technical solutions, code architectures, and will be responsible for developing and delivering production-ready code. The ideal candidate will be someone who genuinely enjoys problem-solving and writing high-quality code to build robust, highly distributed, and scalable data processing systems and pipelines. Some of the challenges the candidate would tackle are:

                              -
                                -
                              • Design, implement and operate PC Bank’s core datasets that have extreme requirements on scalability, reliability, maintainability, flexibility, auditability, and quality
                              • -
                              • Design large scale streaming and batch data pipelines (billions of data points) that involve analyzing transactions over a long period without reprocessing vast amounts of data
                              • -
                              • Perform data profiling and source to target mapping analysis for the best design
                              • -
                              • -Collaborate with business solution analysts, other engineers, solution architects, and other team members to innovate and evolve our datasets to data products to create a single coherent platform with sources of truth that serve a plethora of stakeholders within PC Bank
                              • -
                              -

                              What you’ll do:

                              -
                                -
                              • Apply your expertise in data and software engineering to design and implement data products that meet extreme requirements on scalability, reliability, maintainability, flexibility, auditability, and quality
                              • -
                              • Be T-Shaped. Your primary area is data engineering, but you are comfortable working in a secondary area of expertise such as data presentation/visualization, backend engineering, or data modeling (SQL, NoSQL, Graph & Time-series)
                              • -
                              • Work closely with cross-functional teams of data, backend and frontend engineers, product owners, technical product owners, and technical support personnel
                              • -
                              • Gaining technical expertise in building a data platform at scale to solve business, product, and technical use cases
                              • -
                              • Getting hands-on experience with technologies such as Elasticsearch, Apache Airflow, Apache Kafka, Apache Beam, Apache Spark, Hive, HDFS, Kubernetes (Openshift)
                              • -
                              • -Getting hands-on experience with Google Cloud Platform and technologies such as BigQuery, Cloud Composer, Pub/Sub, Dataflow, Dataproc, GCS, Looker, and other cloud-native offerings in GCP
                              • -
                              -

                              Who you are:

                              +

                              What will you do?

                                -
                              • An undergraduate or Master’s degree in Computer Science or equivalent engineering experience
                              • -
                              • 2+ years of professional software engineering and programming experience (Java, Python) with a focus on designing and developing complex data-intensive applications
                              • -
                              • Familiarity with architecture and design (patterns, reliability, scalability, quality) of complex systems
                              • -
                              • Advanced coding skills and practices (concurrency, distributed systems, functional principles, performance optimization)
                              • -
                              • Professional experience working in an agile environment
                              • -
                              • Strong analytical and problem-solving ability
                              • -
                              • Strong written and verbal communication skills
                              • -
                              • Experience in operating and maintaining production-grade software
                              • -
                              • -Comfortable with tackling very loosely defined problems and thrive when working on a team which has autonomy in their day to day decisions
                              • +
                              • Be able to engage with business stakeholders to understand business outcomes. Comfortable to translate business goals into analytical problems.

                              • +
                              • Be able to work in cross functional teams to develop an ML/data science product

                              • +
                              • Be able to break down broader data science development milestones into smaller goals, activities, and a work plan

                              • +
                              • Apply best in breed data science including descriptive, predictive and machine learning techniques from the design to implementation that impacts the business.

                              • +
                              • Focus on Feature Engineering, Model Training and Model Evaluation in addition to data munging / wrangling

                              • +
                              • Identify the right algorithms and statistical techniques for a specific project as well as the best features for a model. Advise junior members on the same.

                              • +
                              • Make business recommendations with effective presentations of findings at multiple levels of stakeholders

                              • +
                              • An active contributing member to the analytics community to help foster and grow the data science community at Sun Life

                              • +
                              • Champion and support diversity and inclusion

                              -

                              Preferred Skills:

                              +

                              +

                              What will you need to succeed?

                                -
                              • Knowledge of software and data engineering best practices
                              • -
                              • Experience with large scale distributed data technologies and tools
                              • -
                              • Experience pulling data from a variety of data source types including Mainframe (EBCDIC), Fixed Length and delimited files, databases (SQL, NoSQL, Time-series)
                              • -
                              • Strong coding skills for analytics and data engineering (Java, Python, and Scala)
                              • -
                              • Experience performing analysis with large datasets in a cloud-based environment, preferably with an understanding of Google’s Cloud Platform (GCP)
                              • -
                              • Understands how to translate business requirements to technical architectures and designs
                              • -
                              • Comfortable communicating with various stakeholders (technical and non-technical)
                              • +
                              • BSc/M.S. in a statistical, mathematical, or technical field (i.e., computer science) or equivalent experience

                              • +
                              • 3+ years experience in developing and implementing data science techniques (predictive, prescriptive, ML etc.)

                              • +
                              • Comfortable writing complex SQL queries to extract and integrate data from multiple database sources

                              • +
                              • Proficient in using one or more statistical programming languages (i.e., Python) for data science

                              • +
                              • Experience with AWS services including SageMaker

                              • +
                              • Experience with machine learning including supervised and unsupervised models

                              • +
                              • Demonstrated experience in data transformation & data manipulation

                              • +
                              • Experience working with Structured vs. Unstructured data

                              • +
                              • Experience with Big Data Technologies: Hadoop, HDFS, Hive, HBase, Spark is strongly desirable

                              • +
                              • Effective and concise oral and written storytelling and insights communication skills

                              • +
                              • Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities

                              • +
                              • Ability to document work and effectively prioritize documentation

                              • +
                              • Ability to work with junior data scientists, data engineers, ML engineers and guide their work if needed

                              -

                              Nice to have Skills (though not required):

                              +

                              What will be nice to have?

                                -
                              • Exposure to data-science or machine-learning packages (Pandas, Pytorch, Keras, TensorFlow, etc...)
                              • -
                              • Contributions to open-source software (code, docs, or mailing list posts)
                              • -
                              • GCP Professional Data Engineer Certification
                              • -
                              • Confluent Certified Developer for Kafka
                              • +
                              • Past experience in life insurance/wealth management, or other financial services industry (e.g., retail banking, credit card, property and casualty insurance)

                              • +
                              • Past experience working in Agile delivery model

                              • +
                              • Past experience in developing and deploying production grade model in cloud infrastructure

                              -

                              COVID-19 is a serious condition and has had a devastating impact on Canadians and others across the globe. As a leading Health and Wellness provider for millions of Canadians, our goal is to help all Canadians ""Live Life Well"". ​

                              -

                              -

                              In support of this goal, we have adopted a COVID-19 Vaccination Policy to protect the health and well-being of our employees as we continue our phased approach of office reopening. Employees will be required either to be fully vaccinated or undergo regular COVID-19 Rapid Antigen Screening in order to access the workplace.

                              -

                              +

                              Unique Requirements

                              -

                              Come and join a winning team who demonstrates innovation, energy, creativity and vision. We recognize the importance of a diverse workforce and we therefor encourage applications from Aboriginal Peoples, women, members of a visible minority and persons with a disability. We thank all applicants for their interest, however, only those selected for an interview will be contacted.

                              +

                              The candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the information on Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                              +

                              +

                              What\'s in it for you?

                              +
                                +
                              • Remote/ Hybrid Work environment

                              • +
                              • Competitive salary and bonus structure influenced by market range data

                              • +
                              • 20 days vacation per year and an innovative sabbatical program

                              • +
                              • A friendly, collaborative and inclusive culture

                              • +
                              • Being part of our Analytics community, where we share best practices and broaden skill-sets

                              • +
                              • Flexible Benefits from the day you join to meet the needs of you and your family

                              • +
                              • Pension, stock and savings programs to help build and enhance your future financial security

                              • +
                              • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                              • +
                              +
                              +

                            +

                            The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                            -

                            Number of Openings:

                            0

                            +

                            Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                            -

                            PC Financial recognizes Canada\'s diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants and colleagues with disabilities.

                            +

                            Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                            -

                            In addition, we believe that compliance with laws is about doing the right thing. Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

                            +

                            At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                            +

                            We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                            -

                            Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.

                            -
                            ",,https://myview.wd3.myworkdayjobs.com/en-US/pc_financial/job/500-Lakeshore-Ave-Toronto-ON/Data-Engineer_R2000234469?q=analytics+ontario,info@loblaw.ca,https://www.loblaw.ca/en/careers.html,,,2023-05-27T17:51:50.490Z,False,0,6,37,https://talenthub.vectorinstitute.ai/jobs/219389356-data-engineer-at-loblaw-companies-ltd,,expired,2023-04-27T17:14:00.000Z,import-xml-feed:Loblaws-Job-Feed,Enterprise (500+),Application Click Through,Retail,Associate,Bachelors Degree,New Posting, +

                            Salary Range:

                            80,000/80 000 - 130,400/130 400

                            +

                            Job Category:

                            Advanced Analytics

                            +

                            Posting End Date:

                            28/05/2023
                            ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Scientist_JR00077232-3?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-05-29T16:15:02.539Z,False,0,7,34,https://talenthub.vectorinstitute.ai/jobs/226184544-senior-data-scientist-remote-at-sun-life-financial,,expired,2023-05-16T16:10:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +e6b5a19c-5856-4700-b992-ea335abf4354,219397720,TELUS,Data Scientist,on_site,"Ontario, Canada",2023-04-27T17:42:03.601Z,"
                            +
                            +

                            Description

                            +
                            +

                            +

                            Join our team

                            +

                            +

                            The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high-quality data, and a data-product-oriented culture while always keeping an eye on the horizon, preparing for the next big thing.

                            +

                            +

                            We are entrepreneurial and live by our AI Manifesto of failing fast and being outcome vs technology-driven, creating value for our customers, team members, communities, and the environment. The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web visualizations, we do it all!

                            +

                            +

                            Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

                            +

                            +

                            Here’s the impact you’ll make and what we’ll accomplish together

                            +

                            +

                            You’ll be a part of the team and journey that will transform the way we do business across various domains. You’ll collaborate with teams across the company, seeking out various data sources to help identify new business opportunities while championing data-driven decision-making and the accelerated adoption of AI.

                            +

                            +

                            As a Data Scientist on the team, you will combine your expert knowledge of data science with your strong software development skills to automate and facilitate data exploration, analytics, machine learning model development, training and deployment and will leverage your experience in building reusable algorithms, functions and libraries.

                            +

                            +

                            Here\'s how

                            +

                            +
                              +
                            • Lead the iterative development, validation, and deployment of AI/ML models
                            • +
                            • Collaborate on end-to-end automation efforts required to bring models to production
                            • +
                            • Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
                            • +
                            • Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
                            • +
                            • Influence how we approach business challenges and opportunities by driving the adoption of a data-driven mindset
                            • +
                            • Develop re-usable code aimed at delivering on future goals faster and more reliably
                            • +
                            • Support and evolve the Advanced Analytics and Data Science roadmap by leveraging industry research, best practices and emerging tools/technology
                            • +
                            • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
                            • +
                            +

                            +

                            +
                            +
                            +
                            +

                            Qualifications

                            +
                            +

                            +

                            You\'re the missing piece of the puzzle

                            +

                            +
                              +
                            • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
                            • +
                            • You are sought out for your skills in Machine Learning and AI, including regression, classification, clustering, time series analysis, NLP, and optimization and bring 2-4 years of hands-on work and practical business experience in the above areas
                            • +
                            • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences
                            • +
                            • You have solid development experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras and have applied these skills towards solving actual business matters
                            • +
                            • You are comfortable in and with a Jupyter environment and infrastructure, and familiar with GitHub
                            • +
                            • You possess advanced knowledge in SQL and distributed computing
                            • +
                            • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
                            • +
                            • You are well versed in software and AI development lifecycles, including ML Ops
                            • +
                            • You are agile and have a bias for action, removing roadblocks to get results fast
                            • +
                            +

                            +

                            Great-to-haves

                            +

                            +
                              +
                            • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, Engineering, or Data Science
                            • +
                            • Experience with agile methodology and work in a start-up environment
                            • +
                            • GCP or other cloud certifications
                            • +
                            +

                            #LI-REMOTE

                            +

                            +

                            +
                            +
                            +
                            ",,https://careers.telus.com/job/Toronto-Data-Scientist-ON/569738117/,feed-importer@jobboard.io,,,,2023-05-28T03:31:18.631Z,False,0,26,98,https://talenthub.vectorinstitute.ai/jobs/219397720-data-scientist-at-telus,,expired,2023-04-27T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Masters Degree,New Posting, +1def3304-5516-4a63-8b50-6282ec490d41,232858099,Scotiabank,Data Modeler,on_site,Canada : Ontario : Toronto,2023-06-05T15:52:03.886Z,"

                            +

                            +

                            +

                            +

                            Requisition ID: 178360

                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                            +

                            +

                            Data Modeler

                            +

                            +

                            The Wealth Data team within the Global Wealth Engineering (GWE) team is key area in meeting the operational and analytical data needs of the various stake holders within Wealth Management.
                            The Data Modeler will be joining a team that is key in providing strategic data solutions to meet our business objectives. The candidate will play a key role in designing and implementing data modeling solutions using relational, dimensional and NoSQL databases. Working closely with data architects, lead business systems analysts and data engineers they will be responsible for creating and maintaining data models for our databases that support multiple geographies

                            +

                            +

                            Is this role right for you?

                            +
                            • Responsible for hands on creation of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL and NoSQL)
                            • Work with the Data team to implement data strategies, build data flows and develop conceptual data models.
                            • Sole owner of the Data models for all data domains in Wealth management area and provide leadership and expertise in data modeling principles/methods including conceptual, logical & physical Data Models
                            • Understand and translate business needs into data models supporting long-term solutions.
                            • Communicate with Data Analysts, interfacing application teams & Business stakeholders and understand data requirements for consuming applications.
                            • Optimize and update logical and physical data models to support new and existing projects.
                            • Maintain conceptual, logical and physical data models along with corresponding metadata.
                            • Develop best practices for standard naming conventions and coding practices to ensure consistency of data models.
                            • Recommend opportunities for reuse of data models in new environments.
                            • Analyze data-related system integration challenges and propose appropriate solutions.
                            • +
                            +

                            +

                            +

                            Do you have the skills that will enable you to succeed in this role?

                            +
                            • 10+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols)
                            • Experience with data hub, data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required
                            • Expert knowledge of relational databases and data architecture computer systems, including SQL
                            • Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required
                            • Ability to effectively convey ideas to business and technical teams
                            • Ideally 5+ years’ experience in technical system analysis, data mapping and translating/mapping relational data models into XML and Schemas
                            • Knowledge of database administration including database security, backup and recovery, and performance monitoring standards
                            • Knowledge of programming languages such as Java, Python, Scala etc
                            • Knowledge of Google Cloud Platform (GCP) and toolset such Cloud Composer, Dataproc, CloudSpanner etc.
                            • Knowledge of data streaming and technologies such as Kafka, Spark-streaming etc.
                            • Should be a team player and work collaboratively
                            • Excellent verbal, written and presentation skills
                            • Previous experience in Wealth management and/or banking systems highly desirable
                            • Nice to have experience in implementation of operational data store and involved in design of data models across multiple domains such as party, financial, non financial, securities, user domain etc
                            • Nice to have understanding of Wealth business line and the various data domains required for building an end to end solution
                            • Nice to have hands on experience in solution architecture and data architecture experience
                            • +
                            +

                            +

                            +

                            What's in it for you?

                            +
                            • Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
                            • Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.
                            • Remote-friendly work environment will provide you with the flexibility to perform at your best.
                            • Upskilling through online courses, cross-functional development opportunities, and tuition assistance.
                            • Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.
                            • Dynamic Office - Fully equipped gym, showers, games room, bowling alley, micro market, free tea & coffee, universal washrooms, wellness rooms, and lots of space for team collaboration.
                            • Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital and much more!
                            • +
                            +

                            +

                            +

                            Working location condition: Hybrid

                            +

                            +

                            #LI-Hybrid

                            +

                            +

                            Location(s): Canada : Ontario : Toronto

                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                            ",,https://jobs.scotiabank.com/job/Data-Modeler/570655817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-22T15:57:03.679Z,False,0,5,52,https://talenthub.vectorinstitute.ai/jobs/232858099-data-modeler-at-scotiabank,https://jobs.scotiabank.com/job/Data-Modeler/570655817/,expired,2023-06-05T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,No Degree,New Posting, +23e81f09-63bf-469c-b6a2-8c1b7e3495ae,236958267,Vector Institute,Applied Machine Learning Intern,on_site,"Ontario, Canada",2023-06-17T02:12:03.087Z,"

                            APPLIED INTERNSHIPS AT VECTOR

                            +

                            The applied internship program at Vector provides relevant, hands-on learning and work experience in machine learning and AI. During the paid internship, interns will have the opportunity to attend research, recruitment, and commercialization talks at Vector and connect with key stakeholders in the ecosystem. Applied internships may be full-time (36.25 hours per week) or part-time (20 hours per week) over the Fall academic term (September 11 - December 22, 2023) with an opportunity to continue over the Winter 2023 academic term. We welcome applications from all qualified candidates. Consistent with Vector’s goals in this program to relieve disadvantage and alleviate the under-representation of Black and Indigenous people in AI, and to attempt to achieve equal opportunity in the field of AI, preference in hiring will be given to qualified Black and Indigenous persons, studying at or having recently graduated from a Canadian post-secondary institute, who self-identify as such in the application process. This initiative is designed to meet the criteria of a special program under the Ontario Human Rights Code.

                            +


                            +

                            KEY RESPONSIBILITIES

                            +
                              +
                            • Work on AI software development projects following an agile methodology with teams that can include Vector AI software developers, professional staff, researchers, and industry sponsors;

                            • +
                            • Develop reference applications and model templates that apply AI research to real-world problems using public and private data sets, providing software for training, testing, operating, and updating models;

                            • +
                            • Develop open source software for applying AI research techniques to common problems;

                            • +
                            • Contribute to industry projects that apply AI research to shared problems, contributing engineering expertise, and assisting with operational issues;

                            • +
                            • Develop prototypes and proofs of concept; and,

                            • +
                            • Report and present on software development including status and results.

                            • +
                            +


                            +

                            PROFILE OF THE IDEAL CANDIDATE

                            +
                              +
                            • You are a student or postdoctoral fellow studying at a Canadian postsecondary institute (university or college) or a recent graduate (within 1 semester of graduation).

                            • +
                            • Experience in machine learning and/or statistics.

                            • +
                            • Software engineering background with experience in industry is preferred.

                            • +
                            • Data engineering background working with messy real-world data is preferred.

                            • +
                            • Analytical skills to identify signals in data and feasibility of prediction.

                            • +
                            • Knowledge and experience of Python.

                            • +
                            • Experience with parameter and architecture tuning of deep learning algorithms is preferred.

                            • +
                            • Experience in leading open source deep learning software frameworks (PyTorch, Tensorflow, and CUDA).

                            • +
                            • Data science experience is considered an asset.

                            • +
                            • Experience with or Interest in AI Systems development, large language models, recommender systems or deep generative models is a plus.

                            • +
                            • Experience working on systems level programming on SLURM is an asset.

                            • +
                            +


                            +

                            Compensation: $25/hour.

                            +


                            +

                            If you have any questions, please contact internships@vectorinstitute.ai.

                            +


                            +

                            Please address applications (cover letter and resume) to Taylor Walker, Specialist, Internships & Work Integrated Learning, using the link provided. The deadline for submission is June 19, 2023, at 1:00PM EDT. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs. Please note that all interviews are currently being held remotely.

                            +

                            At the Vector Institute, we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. In order to relieve disadvantage and alleviate the under-representation of Black and Indigenous people in AI, and to attempt to achieve equal opportunity in the field of AI, priority in hiring will be given to qualified Black and Indigenous persons, studying at or having recently graduated from a Canadian post-secondary institute, who self-identify as such in the application process. This initiative is designed to meet the criteria of a special program under the Ontario Human Rights Code.

                            +

                            If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                            +


                            ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=9200420850870_2&jobId=448364&lang=en_CA&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2023-06-22T19:57:00.000Z,False,0,17,55,https://talenthub.vectorinstitute.ai/jobs/236958267-applied-machine-learning-intern-at-vector-institute,,expired,2023-06-17T02:12:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Internship/Co-op,Bachelors Degree,New Posting, 87d4d554-1bba-4919-97f4-a6fb334d55c4,226984828,BenchSci,"Senior Machine Learning Engineer, NLP (Remote)",full,"Toronto, Ontario Remote",2023-05-18T16:04:01.735Z,"
                            We are seeking a Senior Machine Learning Engineer - NLP to join our growing ML team. You will work on complex NLP problems that will have an impact on the 41,000+ scientists across the world who rely on BenchSci for their research. Reporting to the Engineering Manager, ML, you'll apply your domain expertise to build advanced machine learning algorithms, collaborate with data engineers to build benchmarking and data preparation pipelines, and core infrastructure engineers to deploy and monitor your models in our production system. In this role, you will have the opportunity to apply state-of-the-art solutions that will shape the future of scientific discovery.

                            You will:

                                @@ -292619,6 +301248,270 @@ e281a06e-6532-4a3d-8044-4892f573cc82,226982406,Scotiabank,QA Specialist - Data E

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                            ",,https://jobs.td.com/en-CA/jobs/18107934/manager-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-06-19T15:58:04.825Z,False,0,3,23,https://talenthub.vectorinstitute.ai/jobs/235578715-manager-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18107934/manager-analytics-insights-toronto-ca/,expired,2023-06-12T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +e11400b1-1a0f-424e-bac4-2d0a8a17ffb6,238913585,Scotiabank,"Director, Model Owner - Retail & Small Business Forecasting",on_site,Canada : Ontario : Toronto,2023-06-23T15:52:04.211Z,"

                            +

                            +

                            +

                            +

                            Requisition ID: 178348

                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                            +

                            +

                            Overview:

                            +


                            The world is changing faster than ever and so are we!

                            +

                            +

                            “Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

                            +

                            +

                            Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

                            +

                            +

                            What Are We Looking For?

                            +


                            We want talented pragmatic analytically oriented leaders who are equally at home amongst neural networks as they are translating complex issues into concise communications and directions. We want advanced analysts / data scientists who come armed with not only strong statistical, programming and data engineering skills but also a bottomless sense of curiosity about everything (great models and analytics are about so much more than just the numbers!), a passion for getting things done right the first time and a deep sense of personal and professional accountability.

                            +

                            +

                            To be a Director in Retail and Small Business Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you have to want to be an owner who embraces both the accountability (i.e., “the buck stops here”) and responsibilities that come with ownership. Working with internal customers (stakeholders) across the bank to understand and translate their needs (for accurate optimized forecasts) and questions (qualitative and analytic alike) into outcomes and answers, exploring both novel and legacy data sets / methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that you “own” will all be equally important. The types of Directors we are looking for are player-coaches (an interest in teaching & mentoring is essential!) who relish the idea of running their own “model factory” and everything that comes with it.

                            +


                            Make an Impact

                            +

                            As a director, you will report directly to the VP of Retail and Small Business Models and Analytics and be a critical member of the global leadership team. You will be accountable for – from conception through execution and governance – the capital estimation, optimization and forecasting models covering The Bank’s retail and small business product lines. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Model Operations, Capital Management, Provisioning, Product, Risk Strategy & Risk Management, Model Validation and Governance, Technology & Data, Finance, Legal, Compliance and Audit.

                            +

                            +

                            Your team will have access to both traditional SAS tools / SQL databases / Hadoop clusters and a modern machine learning stack that includes both public and on-premise private cloud computing, open source Jupyter development environments, and data visualization business intelligence tools.

                            +

                            +

                            Under your guidance, your team of risk modeling and business analysis experts will use these tools to develop and run advanced risk prediction and forecasting models that will be used to help manage tens of $billions of capital and exposures, every day and therefore need to be not only accurate and precise, but highly stable, explainable, compliant, secure and useful. You will be responsible for setting priorities, leading by example, getting deep-in-the-weeds, coaching, mentoring and ultimately, delivering results.

                            +

                            +

                            Is This Role Right for You?

                            +
                            • You believe, first and foremost, in always doing the right thing and doing things the right way
                            • You are both deeply curious and highly pragmatic
                            • You know when to be doer, when to be a teacher and when to be a leader
                            • You are comfortable setting ambitious but realistic goals and are committed to achieving them
                            • You can read complex and lengthy regulatory requirements and identify opportunities for optimization while always remaining committed to compliance excellence
                            • You understand what PDs, LGDs and EADS really are, from the ground up, and can model them precisely for any product (while knowing how to statistically account for sources of uncertainty)
                            • You have a genuine love, passion and talent for programming, data, and predictive modeling
                            • You are comfortable initiating conversations and collaborating with diverse personalities both internally (colleagues across the business) and externally (vendors)
                            • You are committed to quality in everything you do – statistically, process and governance wise
                            • You can evaluate situations, derive insights, synthesize results and communicate high-quality recommendations effectively, both verbally, and in writing
                            • You are professional, motivated AND FUN. We mean it.
                            • +
                            +

                            +

                            What Do You Need to Succeed?

                            +


                            General

                            +
                            • Bachelor’s Degree in Mathematics, Physics, Engineering, or an equivalent technical field
                            • A demonstrated history of analytic problem solving and sound judgment
                            • Experience as both a manager and leader with a track record of accomplishments overseeing cross-functional teams
                            • Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into actionable analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit regulatory-quality documentation and be accepted as a trusted advisor by senior executives
                            • Excellent project, process & time management
                            • Able to work remotely and on-site on multiple projects simultaneously and meet deadlines
                            • +
                            +

                            ​​​​​​​

                            +

                            Technical

                            +
                            • Strong fundamental understanding of statistics
                            • Highly proficient in 2+ analytical programming languages (SAS, Python, R, etc.), SQL (Teradata, Oracle, DB2, SQL Server), and multiple environments (Unix & Windows)
                            • 2+ years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
                            • +
                            +

                            +

                            Nice to Have’s

                            +
                            • Proficient reading, writing and speaking Spanish
                            • MBA or other business / management degree
                            • FRM, CFA credentials
                            • Extensive knowledge in forecasting / risk models / scorecards, best practices and governance
                            • Experience training and deploying machine learning models using common Python open source frameworks (i.e., scikit-learn) and/or Python DevOps
                            • Experience with public cloud infrastructure (GCP, Azure, AWS)
                            • Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI, Project) power user
                            • +
                            +

                            +

                            What’s In It for You?

                            +
                            • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
                            • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                            • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
                            • Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
                            • A competitive rewards package that includes a base salary, a performance bonus, company matching programs on pension and profit sharing, paid vacation, personal & sick days, medical, vision and dental benefits that start from day one and much more!
                            • +
                            +

                            +

                            Location(s): Canada : Ontario : Toronto

                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                            ",,https://jobs.scotiabank.com/job/Director%2C-Model-Owner-Retail-&-Small-Business-Forecasting/570497817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-06T15:57:04.384Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/238913585-director-model-owner-retail-small-business-forecasting-at-scotiabank,https://jobs.scotiabank.com/job/Director%2C-Model-Owner-Retail-&-Small-Business-Forecasting/570497817/,expired,2023-06-23T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, +276ae9ab-1f0e-43ce-9760-44db24480303,242607508,Scotiabank,"Senior Manager, Metrics and Delivery, Data & Al Risk",on_site,Canada : Ontario : Toronto,2023-07-03T15:52:04.372Z,"

                            +

                            +

                            +

                            +

                            Requisition ID: 179373

                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                            +

                            +

                            Purpose of Job:

                            +

                            +

                            Are you passionate about data and analytics, but also risk management? Are you looking for a ambitious role in an emerging and exciting field? Join a purpose driven team, acted to results, in an inclusive and high-performing culture.

                            +

                            +

                            The Data and Artificial Intelligence Risk (DAIR) team is looking for a highly driven change agent who demonstrates integrity, drive and courage to lead the design and execution of the DAIR management program plan.

                            +

                            +

                            As a member of the team, you will be directly contributing the operationalization of data and AI risk at the organization, while working with a collaborative team of inspiring professionals to help deliver the Enterprise DAIR Program objectives.

                            +

                            +

                            Job Responsibilities:

                            +

                            +
                            • Design comprehensive metrics to cover the full data risk taxonomy
                            • Responsible for the collection, reporting and visualization of key metrics for various purposes (Board reporting, committees, project updates, audit, regulator) and audiences (Board, Senior Leadership, Team, Audit, Regulator).
                            • Responsible for project/program management (project plan, risk and issue tracking) of key deliverables for operationalizing program (including managing/tracking Regulator and Audit deliverables)
                            • Responsible for creating reports/decks as it pertains to metrics and program delivery
                            • Provide expertise and advice to the first line of defense on the design and best practices, specifically as it pertains to metrics and project deliverables, for effective implementation of Data and AI Risk
                            • Develop strong partnership and work in close alignment with other risk functions and business partners to provide professional advice and guidelines
                            • Assist in execution of the periodical and ad-hoc reporting to the Board, CRO, Risk Committees, including collection of metrics and creation of dashboards and reports
                            • Exercise sound judgment in identifying, reporting, and escalating risks or issues to senior management
                            • Foster an inclusive and collaborative team environment, and prioritize team’s goals
                            • Assist with data risk management activities and participate in data risk management oversight where required
                            • Champion a high-performance environment and contribute to an inclusive work environment
                            • +
                            +

                            +

                            Job Requirements:

                            +

                            +
                            • Strong quantitative background (based on either experience or education) is a must
                            • Post-Secondary education completed.
                            • PMP preferred but not mandatory
                            • 5+ years experience in data & analytics, internal control, risk management, project/program management and/or related areas
                            • Experience working with Business Intelligence Visualization tools (for example Tableau and/or Power of BI)
                            • Project/program management experience
                            • Strong Microsoft Suite experience (Excel, PowerPoint)
                            • Experience in creating and developing presentation materials (including reports and business intelligence visualization) and informing with Senior Management
                            • Excellent communication (verbal and written)
                            • Strong organization skills and adaptability to manage ambiguity
                            • Strong presentation and facilitation skills are not required, but considered an asset
                            • Curious and proactive learner able to solve complex problems, multi-task and manage changing priorities
                            • +
                            +

                            +

                            Location(s): Canada : Ontario : Toronto

                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                            ",,https://jobs.scotiabank.com/job/Senior-Manager%2C-Metrics-and-Delivery%2C-Data-&-Al-Risk/571155117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-06T15:57:04.384Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/242607508-senior-manager-metrics-and-delivery-data-al-risk-at-scotiabank,https://jobs.scotiabank.com/job/Senior-Manager%2C-Metrics-and-Delivery%2C-Data-&-Al-Risk/571155117/,expired,2023-07-03T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +6763cde1-41d4-4fe1-9802-d705953b6056,236452208,Scotiabank,"Senior Manager, Collections Strategies and Analytics - 12 Month Contract",on_site,Canada : Ontario : Toronto,2023-06-15T15:52:03.681Z,"

                            +

                            +

                            +

                            +

                            Requisition ID: 179148

                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                            +

                            +

                            Purpose of Job:

                            +

                            +

                            GRM Retail Credit Risk Collections is leader in developing innovative solutions impacting Bank’s profitability. This is accomplished through the use of advanced analytics, collections efficiency and disciplined risk governance.

                            +

                            +

                            You, as a Senior Manager Collections Strategies and Analytics, are a leader with strong collaboration and communication skills and a great ability to manage multiple priorities in a very fast paced-entrepreneurial environment. You contribute to the success of the Collections function by defining, implementing and tracking best-in-class collections strategies, consistent process execution, and oversight. You are a rigorous logical thinker, curious, flexible and have great teamwork abilities. Your background and experience is at the intersection of math/stats, computer science, communication, and domain knowledge in Retail Risk Management.

                            +

                            +

                            What's in it for you?

                            +
                            • Opportunity to make a direct impact to the Bank’s profitability
                            • A compensation program with a competitive salary, opportunities for annual performance incentives based on performance thresholds, a competitive benefits program and continuing education programs
                            • +
                            +

                            +

                            Job Responsibilities:

                            +

                            Leverage your strong retail risk analytical background in order to collaborate with various business partners to:

                            +
                            • Lead collections analytics, strategy and portfolio performance assessment, and technological improvement
                            • Generate analytical recommendations to influence stakeholders in their actions to minimize loan losses, improve dollars collected, and gain operational efficiencies
                            • Ensure all credit risks associated with collections are quantified with effective management reporting, across all components of collections (People, Data, Process, Technology, and Strategy)
                            • Manage processes related to gathering and processing of structured and unstructured data into a form suitable for analysis
                            • Deliver on analytical projects to improve collection efforts and recoveries
                            • Recommend improvements to existing processes. Introduce changes under a test/control framework to help drive decisions that improve profitability
                            • Design and implement policies to help our customers in need of loan modification programs
                            • Provide oversight of collection efforts by developing performance reports and early warning triggers
                            • +
                            +

                            +

                            Job Requirements:

                            +
                            • A Master's degree in Business, Economics, Finance, Industrial Engineer, Mathematics or related discipline and a strong background in quantitative analysis
                            • Strong judicious relationship-building and negotiation skills to articulate sound recommendations and influence executives
                            • Excellent communication and presentation skills: can convey messages in a clear, concise and succinct manner, select the best method of communication to influence business decisions
                            • A results-driven individual with a high level of curiosity and the ability to dive into details without losing sight of the big picture
                            • Exceptional organization skills to prioritize, manage, and implement a variety of contesting initiatives, on a concurrent or staggered basis
                            • Strong background in quantitative analysis applied to portfolio metrics
                            • Three to five years of experience in retail risk portfolio management, collections or provisions
                            • Strong experience with statistical software packages such as SQL/SAS and Python
                            • Strong experience with Machine Learning techniques
                            • Experience manipulating large and complex databases
                            • +
                            +

                            +

                            Location(s): Canada : Ontario : Toronto

                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Collections-Strategies-and-Analytics-12-Month-Contract-ON-M5H1B6/571295117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-16T01:16:11.213Z,False,0,1,15,https://talenthub.vectorinstitute.ai/jobs/236452208-senior-manager-collections-strategies-and-analytics-12-month-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Collections-Strategies-and-Analytics-12-Month-Contract-ON-M5H1B6/571295117/,expired,2023-06-15T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Masters Degree,New Posting, +3a94629c-9347-4ca1-998b-936ef153a632,238529772,Scotiabank,"Senior Manager, Pricing Analytics - CID&A",on_site,Canada : Ontario : Toronto,2023-06-22T15:52:02.992Z,"

                            +

                            +

                            +

                            +

                            Requisition ID: 180230

                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                            +

                            +

                            Purpose:

                            +


                            The Pricing Optimization team, within Canadian Banking Analytics, supports the revenue and volume growth for each of the product business line, including lending and deposits by providing advanced analytical pricing solutions, influencing Scotia’s strategic decisions on consumer pricing (rates / fees), and other consumer behavior initiatives. The Senior Manager, Pricing Analytics, is responsible for leading pricing initiatives required to increase customer centricity in
                            setting and executing our product prices – including, but not limited to:

                            +


                            • research, develop, and implement end-to-end pricing models production pipelines and ensure that pipelines are scalable, repeatable, and secure, and can serve multiple users within the organization.
                            • working with product, finance, treasury, channel and analytics partners to optimize business’ pricing strategy for optimal profitability management
                            • working with technology partners to align and define future state of data and pricing models;
                            • proposing an appropriate pricing optimization framework that overlays customer relationship and value to drive growth and profitability.
                            • apply statistical, analytical, and programming skills to analyze and interpret large data sets and communicate results and insights to business clients and senior members of the pricing team
                            • proposing sip projects where necessary to improve our pricing competency
                            • supporting business development, operations and project teams with the required information for product design, policy and other recommendations to ensure they meet Basel, treasury, etc requirements
                            • overseeing the preparation of regular and ad hoc reports and portfolio analysis to assist senior management in decisionmaking incorporating such things as volume, margin, profitability, etc.

                            +

                            +


                            Accountabilities:

                            +


                            Lead the creation and management of reports and pricing analytics models, analyzing and measuring business line and overall performance:

                            +


                            • Recommend analytical design for pricing use-cases to senior management, and manage progress towards agreed deliverable
                            • Implement necessary experiments to build a repertoire of learnings to inform pricing approach, measure their success, and build an information base of pricing approaches that are accretive to bank results
                            • Leverage distributed computing tools (e.g. Spark, Hadoop) for analysis, data mining and modeling to provide actionable insights to decision makers within the Bank
                            • Collaborate with Data engineering teams to deploy pricing models and algorithms in production, across business lines
                            and geographies
                            • Review data for reasonability and completeness; ensuring integrity of data by performing various cross-checks and balances to source data and other related reports
                            • Participate and contribute to process improvements to existing reports and pricing models including identifying operational issues & procedure documentation
                            • Foster a culture of innovation inside and outside of the company as a visionary capable of inspiring through presentation, demonstration and leading by example.
                            • Develop/modify financial models and reports as required to support decision-making

                            +


                            Supervise the timely and actionable analyses of financial and non-financial results and trends to support the development of strategies, optimizing product profitability and the Bank’s competitive position by:

                            +


                            • Ensure the preparation and development of ad hoc reports and analyses to assess the financial effectiveness of existing and proposed products, features, programs, campaigns, partner arrangements, etc.
                            • Supervise the development of evaluation models/tools that accurately forecast the impact of proposed strategies and initiatives and key drivers of various Canadian Banking businesses
                            • Oversee the analysis of raw input from disparate sources in order to develop recommendations to support key planning assumptions such as market growth expectations, account growth, volume growth, margins and net-interest revenue
                            • Oversee and develop dealer / broker volume, growth, redemption trends etc for dealer/ broker channels
                            • Oversee the continual monitoring the competitive landscape to stay abreast of industry trends, be ensuring a review of the competitor websites for current deposit pricing

                            +


                            Provide support to the preparation of month-end/year-end financial statements and the profit planning process by:

                            +


                            • Ensuring the completion of monthly statement of revenue and expenses, trend analysis relative to business plan, manage the quarterly volume and forecasting process in partnership with IB Banking Finance
                            • Prepare forecasts, mini forecasts, dashboard reports and various budgetary updates
                            • Assisting in compiling presentations for Senior Management and Executive

                            +


                            Requirements & Qualifications:

                            +


                            • The candidate will be at the intersection of math/stats, computer science, communication, the business
                            line and the customer. She/he will take a supporting role in agile rapid labs and strategy development to
                            drive innovation and digital transformation throughout the Bank and Corporate
                            • Excellent knowledge of financial and statistical modelling, Machine Learning principles and accounting
                            policies to develop models and reports
                            • Strong understanding of pricing methodologies, and other industry regulations impacting deposit pricing
                            • Excellent quantitative technical skills and extensive knowledge in machine Learning libraries in R, Python,
                            Spark
                            • Experience with SAS and SQL skills for querying relational databases (e.g. SQL Server, DB2, MySQL)
                            • Understanding of the banking sector in Canada, both the advisory channel as well as retail banking,
                            including available products, market trends, existing and emerging players, competitive advantages and
                            best practice
                            Behavioural skills:
                            • Excellent analytical skills, numerical ability, accuracy and thoroughness to develop financial models that
                            impact strategic decisions and provide product profitability analysis
                            • Strong communication and interpersonal skills to develop support and cooperative relationships
                            throughout the organization
                            • Customer focus; results focus to meet tight turnaround deadlines
                            • Strong supervisory skills

                            +

                            +


                            Educational Requirements:

                            +


                            • University degree in relevant STEM discipline (Computer Sciences, Electrical/Computer/Software
                            Engineering and Mathematics) with minimum 5 years financial services experience

                            +

                            +

                            Location(s): Canada : Ontario : Toronto

                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                            ",,https://jobs.scotiabank.com/job/Senior-Manager%2C-Pricing-Analytics-CID&A/571499017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-13T15:57:03.013Z,False,0,1,22,https://talenthub.vectorinstitute.ai/jobs/238529772-senior-manager-pricing-analytics-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Senior-Manager%2C-Pricing-Analytics-CID&A/571499017/,expired,2023-06-22T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +e2aaa383-d663-409e-b510-2fe04279d3bf,243217369,Sun Life Financial,Senior Campaign Data Analyst (Fixed Term),on_site,"Ontario, Canada",2023-07-05T02:15:02.116Z,"
                            +

                            You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                            +

                            +

                            +

                            Job Description:

                            +

                            +

                            Role Summary

                            +

                            +

                            As a member of the CXO Campaign Data Analytics team, you will play a pivotal role in working closely with our business partners to enable digital engagement, understand our client needs in new ways, and ultimately enable a leading client experience. You will leverage our vast data, to enable our business objectives by working on industry leading decision engines and delivering data driven real time decisions. In joining CXO Analytics, you will be part of one of the fastest growing areas of our business, representing the future of our business and our industry.

                            +

                            +

                            This is a fixed term position for approximately 1 year that offers 4 weeks vacation annually and partial benefits.

                            +

                            +

                            What will you do?

                            +
                              +
                            • Plan, set up, and execute outbound and inbound digital campaigns and real time decision flows in accordance with the strategy and objectives of campaign stakeholders.

                            • +
                            • Work in partnership with internal stakeholders to leverage personas, customer journeys and data strategies to develop and implement marketing automation programs.

                            • +
                            • Gather, document, and help form business requirements, key performance indicators, and other functional and technical requirements.

                            • +
                            • Create high quality client experience through use of digital channels, interactive journeys and triggered engagements.

                            • +
                            • Support stakeholders and third parties throughout the campaign implementation process

                            • +
                            • Interact frequently with stakeholders including interaction with marketers, analysts, web developers, content and creative designers.

                            • +
                            • Work with a small number of data analysts, data engineers, data scientists to deliver on projects and initiatives that are complex.

                            • +
                            • Manage multiple campaigns simultaneously.

                            • +
                            • Perform extensive data profiling and develop deep understanding of the highly complex data landscape.

                            • +
                            • Deepen the organizations understanding of client and member level data and provide expert guidance on how best to leverage data to provide actionable business insight.

                            • +
                            • Manage and execute on business data requests ensuring requests are aligned to business priorities and the request fulfillment meets the business needs.

                            • +
                            • Collaborates in an agile team to understand business objectives and develop campaign solutions that deliver best in class, engaging and highly relevant experiences.

                            • +
                            • Liaise with stakeholders across other teams to resolve discrepancies.

                            • +
                            • Manage and execute data requests ensuring requests are aligned to business priorities and the request fulfillment meets the business needs.

                            • +
                            • Support campaign target list generation, analyses, measurement, and reporting

                            • +
                            +

                            +

                            What do you need to succeed?

                            +
                              +
                            • Bachelor’s degree in a field with a strong technical core such as Computer Science, Software engineering, Business Analytics, Engineering Science, Statistics, Math, Business Commerce, or equivalent working experience

                            • +
                            • Over 4 years experience in campaign design, data management and a solid understanding of the data needs of marketing, campaigns, and business.

                            • +
                            • 3+ years experience in data analytical role: Analytical programming languages (e.g., SAS, SQL, Python).

                            • +
                            +

                            +

                            Unique Requirements

                            +

                            +

                            Candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (http://iss-ssi.pwgsc-tpsgc.gc.ca/msi-ism/ch2-prt1-eng.html) ​

                            +

                            +

                            What will be nice to have?

                            +
                              +
                            • Strong curiosity and drive for learning (formal & informal) to develop technical skills and awareness of business issues.

                            • +
                            • Excellent communication skills (both written and oral), combined with strong interpersonal and organizational skills.

                            • +
                            • Related work experience in Campaign execution and operations, marketing automation, digital communications, database marketing and data analysis, decision engines (e.g., SAS RTDM)

                            • +
                            • General programming language knowledge and basic application design

                            • +
                            • Some technical writing, report analysis and PowerPoint presentation creation

                            • +
                            • +

                              The candidates must have relevant experience in the following areas:

                              +
                                +
                              • Knowledge of Inbound and Outbound campaigns

                              • +
                              • Knowledge on the data needs for analytics and campaigns

                              • +
                              • Communication and liaison experience between business, analytics, and IT

                              • +
                              +
                            • +
                            +

                            +

                            What’s in it for you?

                            +
                              +
                            • Competitive salary and bonus structure influenced by market range data

                            • +
                            • 20 days vacation per year and an innovative sabbatical program

                            • +
                            • Great Place to Work® Certified in Canada and the US - 2022

                            • +
                            • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                            • +
                            • Named “Best Places to Work” by Glassdoor - 2021

                            • +
                            • Canada Award for Excellence for Mental Health at Work - 2021

                            • +
                            • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid #LI-Remote

                            • +
                            • A friendly, collaborative and inclusive culture

                            • +
                            • Flexible Benefits from the day you join to meet the needs of you and your family

                            • +
                            • Pension, stock and savings programs to help build and enhance your future financial security

                            • +
                            • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                            • +
                            +

                            +

                            The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                            +

                            +

                            Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                            +

                            +

                            Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                            +

                            +

                            At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                            +

                            +

                            We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                            +

                            +

                            Salary Range:

                            74,100/74 100 - 120,800/120 800

                            +

                            Job Category:

                            Advanced Analytics

                            +

                            Posting End Date:

                            09/07/2023
                            ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Campaign-Data-Analyst--Fixed-Term-_JR00082099?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-07-14T02:20:02.057Z,False,0,3,19,https://talenthub.vectorinstitute.ai/jobs/243217369-senior-campaign-data-analyst-fixed-term-at-sun-life-financial,,expired,2023-07-05T02:15:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +bfc8aa88-7e4a-4229-adce-24090e8e8b31,242607505,Scotiabank,"Senior Analyst, Canadian Regulatory Reporting - 12 Month Contract",on_site,Canada : Ontario : Toronto,2023-07-03T15:52:03.881Z,"

                            +

                            +

                            +

                            +

                            Requisition ID: 180275

                            Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                            +

                            +

                            ** This is a 12 month contract position **

                            +

                            +

                            Job Purpose:

                            +

                            The Senior Analyst scrutinizes and evaluates FINTRAC regulatory reporting with a focus on analytical procedures for effective reporting. Guided by Bank policy, receives direct supervision from the Senior Manager. Within a well-defined task, the Senior Analyst is expected to function independently while ensuring that management is kept informed and that problems and issues are escalated appropriately.

                            +

                            +

                            Key Accountabilities:

                            +
                            • Provides senior management with consistent, consolidated, annotated reporting on AML regulatory reporting to FINTRAC, specific to Canadian legislation, with specific emphasis on Large Cash Transaction Report (LCTR) and Electronic Funds Transfer Report (EFTR) requirements.
                            • Identifying unacceptable AML risks and escalating appropriately to the Senior Manager or Director.
                            • Identify, track, and communicate system improvement opportunities and analytic defects, and participate in the implementation process.
                            • Assist in the creation and maintenance of analytical tools (Advanced Excel tools) and reporting dashboards (e.g. Tableau, eazyBI) in respect to FINTRAC regulatory reporting.
                            • Assist in the development of business requirement documents and user acceptance testing of AML front end and detective controls. Participate in the operational implementation process by assisting in the development of training materials, the creation of job aids and workflows, the development of communications and publications, the development of conversion and implementation strategies, training staff, and post-implementation support.
                            • Support and continuously improve the on-going initiatives in respect to AML regulatory reporting to FINTRAC, by providing ad hoc reporting, monitoring efficiency/effectiveness of reporting through analytical processes, soliciting feedback, and critically assessing procedures.
                            • Prepare documents for audit review and validate.
                            • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                            • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, Enterprise AML/ATF Global Handbook and the Guidelines for Business Conduct.
                            • Champions a high performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team.
                            • +
                            +

                            +

                            Job Requirements:

                            +
                            • A proven ability to critically assess, prioritizes tasks, and delivers meaningful results in a fast-paced environment.
                            • Basic knowledge of operational processes including best practices, current and anticipated regulatory requirements, Back Office processes, and the end-to-end workflows among the Front and Back Offices.
                            • Good interpersonal and communication skills in both oral and writing, and to ability exercise diplomacy and judgement, to effectively work with end users, members of project teams, and stakeholders across the global organization.
                            • Proficient with querying in database management software (e.g. Microsoft SQL Server Management Studio, Oracle, MySQL)
                            • Proficiency in advanced functions in Microsoft Excel, such as VLOOKUP, Nested IFs, SUMIFs, Fuzzy Logic
                            • Proficiency with languages and tools: Python, VBA
                            • Proficiency with data analytics and visualization/ case management software, (e.g. Tableau, eazyBI).
                            • Working knowledge of XML an asset
                            • Proven ability to effectively analyse large amounts of transactional and case management data.
                            • Proven creative, self-starter, results-oriented, and highly motivated individual with good analytical skills in order to apply this knowledge to improve existing solutions and assist in the development of AML/ATF strategies.
                            • Strong knowledge of regulatory compliance, particularly with respect to FINTRAC regulatory reporting (including LCTR/EFTR).
                            • Experience with SWIFT EFT/Non SWIFT EFT/LCTR reporting (e.g. MT 103 messages)
                            • +
                            +

                            +

                            Education/Experiences:

                            +
                            • A recognized under-graduate degree in a business or technical discipline (Accounting, Finance, Data Science, Statistics or a related field) or a minimum of 1 year related experience
                            • +
                            +

                            +

                            +

                            +

                            Location(s): Canada : Ontario : Toronto

                            Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                            At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                            ",,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst%2C-Canadian-Regulatory-Reporting-12-Month-Contract-ON-M5C2W1/571744017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-07-17T15:57:03.994Z,False,0,2,29,https://talenthub.vectorinstitute.ai/jobs/242607505-senior-analyst-canadian-regulatory-reporting-12-month-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst%2C-Canadian-Regulatory-Reporting-12-Month-Contract-ON-M5C2W1/571744017/,expired,2023-07-03T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +ee5e7e4f-3c41-4382-85ec-302dd46638a5,243155617,Clearpath,Perception Autonomy Developer Co-op,on_site,"Kitchener, ON, Canada",2023-07-04T17:54:49.717Z,"

                            Position: Perception Developer Co-op
                            Location: Based in Kitchener-Waterloo, Ontario
                            Duration: Fall 2023
                            Study Level: Senior
                            Area of Study: Computer Science, Software Engineering or Related Field
                            Division: OTTO Motors

                            +

                            About OTTO™ Motors (Division of Clearpath Robotics)

                            +

                            OTTO™ Motors is a growing, disruptive company, making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self-driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit www.ottomotors.com.

                            +

                            A... the Job

                            +

                            We're looking for a driven, resourceful and motivated candidate for the Perception Developer Co-op position. This person will help develop the next generation of perception and machine learning algorithms to tackle the toughest challenges in localization, mapping, object detection and computer vision.

                            +

                            The Perception Team’s primary responsibility is the development of the core robotics software responsible for environmental sensing and understanding on all of our vehicles. As a Perception Developer you will work on the development and testing of the core robotics software that drives vehicles at sites all around the world. You will be responsible for evaluating state-of-the-art ideas from academia and industry, and taking these ideas out of the lab and into the real world, identifying opportunities to improve, and developing high-performance software to run in real time on robots.

                            +

                            Your primary responsibilities will be:

                            +
                              +
                            • Creating robust innovative solutions to the problems of robotic perception
                            • +
                            • Developing custom perception and machine learning algorithms and systems related to localization, mapping, object detection and tracking, computer vision, and more
                            • +
                            • Evaluating new sensing technology and robotic platforms
                            • +
                            • Assisting with concept development for new products and projects
                            • +
                            • Supporting the deployment and testing of robotic systems
                            • +
                            +

                            Skills and experience:

                            +
                              +
                            • Practical and theoretical knowledge in at least one or more areas of: state estimation, computer vision, SLAM, machine learning, object detection and tracking, robotic perception.
                            • +
                            • Strong software development skills in modern C++ and Python.
                            • +
                            • Proficiency with Linux
                            • +
                            • Understanding of software development workflows, life cycles and development methodologies and tools.
                            • +
                            +

                            Bonus points for:

                            +
                              +
                            • Hands-on experience with real world autonomous systems.
                            • +
                            • Experience writing efficient, high performance code.
                            • +
                            • Experience with ROS, Gazebo, OpenCV and PCL.
                            • +
                            • Experience with machine learning frameworks such as Tensorflow, PyTorch and TensorRT.
                            • +
                            • Familiarity with linear algebra and nonlinear optimization techniques and libraries such as Ceres, GTSAM, g2o and Eigen.
                            • +
                            +

                            Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, gender identity/expression, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                            ",,https://jobs.jobvite.com/clearpath/job/oG8bnfw6,aitalent@vectorinstitute.ai,https://clearpathrobotics.com/robotics-careers/,,,2023-07-18T00:43:00.000Z,False,0,2,61,https://talenthub.vectorinstitute.ai/jobs/243155617-perception-autonomy-developer-co-op-at-clearpath,,expired,2023-07-04T17:54:00.000Z,admin,Scaling (20-499),Application Click Through,Manufacturing ,Internship/Co-op,No Degree,New Posting, 868900a5-ffff-4313-bae8-e25f1a6a915a,91849025,Deloitte,"Intelligent Automation Consulting Manager, Omnia AI",on_site,"Ontario, Canada",2021-11-02T02:42:11.703Z,"

                            Job Type: Permanent
                            Primary Location: Multiple Locations, Canada
                            All Available Locations: Toronto; Ottawa; Vancouver

                            • Learn from deep subject matter experts through mentoring and on the job coaching
                            • Partner with clients to solve their most complex problems
                            • Be encouraged to deepen your technical skills…whatever those may be
                            @@ -327454,1100 +336347,164 @@ c78564e1-12ee-48c6-b8f0-08283ede2913,118977523,TELUS,AI Product Manager,on_site,
                            • AI Technology & Data Engineering Expertise: Deep technical knowledge and 3+ years’ experience in deploying AI and machine learning solutions, applying data science techniques to generate actionable insights and achieve economies of scale.
                            • Team Leadership: You have 3+ years of experience in a role managing people. Excellent communicator with a track record of building strong teams, driving a culture of high engagement, and delivering outstanding program results.
                            • -
                            • Business & Financial Acumen: Strategic investment expertise, with the ability to own the overall financial strategy around people, processes and technology, while ensuring strong delivery on Key Performance Indicators (KPIs).
                            • -
                            • Operational Leadership: Extensive experience in engaging with stakeholders to understand business opportunities and leading cross-functional teams to deliver innovative cloud and applied platform technologies.
                            • -
                            • Executive Reporting Expertise: Ability to serve as the primary communication link and provide executive updates on cross-TELUS AI programs and the overall health of these initiatives.
                            • -
                            • Process Automation Know-How: Strong analytics, digitization and process automation knowledge.
                            • -
                            • Bachelor or Master degree in Engineering, Data Science, Computer Science or related fields
                            • -
                            -

                            -

                            Great-to-haves

                            -

                            -
                              -
                            • MBA (Master in Business Administration)
                            • -
                            • Master of Engineering, Artificial Intelligence, Computer Science or related fields
                            • -
                            • Deep understanding of cloud computing environments, and the associated analytics opportunities and challenges
                            • -
                            • Strong knowledge of industry pressures in the telecommunications industry
                            • -
                            -
                            -
                            -
                            ",,https://careers.telus.com/job/Toronto-Manager%2C-Data-Science-ON/556961817/,feed-importer@jobboard.io,,,,2022-04-14T07:38:21.310Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/119733928-manager-data-science-at-telus,,expired,2022-04-10T07:33:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Manager,Masters Degree,New Posting, -422ccc67-5264-40f4-b829-e3b79fb09b6c,114036071,BenchSci,Senior Software Engineer - Data (Remote),on_site,"Toronto, Ontario /",2022-03-11T05:06:11.346Z,"
                            -
                            BenchSci’s vision is to bring novel medicine to patients 50% faster by 2025. We’re achieving it by empowering scientists with the world’s most advanced biomedical artificial intelligence. Backed by F-Prime, Gradient Ventures (Google’s AI fund), and Inovia Capital, our platform accelerates science at 15 top-20 pharmaceutical companies and over 4,300 leading research centers worldwide. We’re a remote-first company recognized for our impact and culture as a Deloitte Tech Fast 50TM, CIX Top 10 Growth, Great Place to Work®, and top-ranked organization on Glassdoor. Learn more at www.benchsci.com.
                            -

                            -
                            We are currently seeking a Senior Software Engineer to join our growing Data team! Reporting to the Engineering Manager, you will evolve our data models, operationalize production-grade data pipelines, and contribute to our document mining/information retrieval initiatives as we expand our ability to extract valuable insights from scientific publications and databases. On the BenchSci Data team, you will work with a group of talented and passionate engineers as you play a key role in shaping the future of scientific discovery and progress.
                            -
                            -

                            You will:

                            -
                                -
                              • Scale data pipelines to allow our data to go from research to platform as fast as possible
                              • -
                              • Collaborate with ML and Data engineers to solve complex document mining challenges, enabling us to capture and model additional scientific experiments
                              • -
                              • Develop data access mechanisms for downstream applications consumption
                              • -
                              • Expand the types of biological reagents and experiments that we can successfully extract from various types of media
                              • -
                              • Manage sources that contain both semi-structured and unstructured data
                              • -
                              • Apply state-of-the-art data processing engines to rapidly process our data sets
                              • -
                              • Employ best practices for a broad platform of technologies within a cloud-based environment
                              • -
                              • Provide troubleshooting analysis and resolution in a timely manner
                              • -
                              • Work on projects involving some of the largest pharmaceutical companies in the world
                              • -
                              • Solve difficult problems and bring new perspectives to the team
                              • -
                              • Have opportunities to work both independently and in pair-programming settings
                              • -
                            -
                            -

                            You have:

                            -
                                -
                              • 5+ years of experience working as a professional developer
                              • -
                              • Expertise with Python and SQL
                              • -
                              • Experience with cloud reference architectures and developing specialized stacks on cloud services
                              • -
                              • Experience with data processing engines (we use Beam)
                              • -
                              • A strong background in data structures and large-scale data manipulation
                              • -
                              • Familiarity with information retrieval theory and practical applications of it
                              • -
                              • Strong cross-team communication and collaboration skills
                              • -
                            -
                            -

                            Nice to haves, but not mandatory qualifications:

                            -
                                -
                              • Work or academic experience in the life sciences
                              • -
                              • Experience with Kubernetes in production
                              • -
                              • Experience with Infrastructure-as-code
                              • -
                              • Experience with technical design and applying architectural patterns
                              • -
                              • Experience with statistical analysis of large datasets
                              • -
                            -
                            -

                            -

                            -
                            Benefits and Perks:
                            -
                            An engaging remote-first culture that hires the best talent from around the world
                            -
                            A competitive compensation package that includes BenchSci equity options
                            -
                            Comprehensive health and dental benefits with an emphasis on mental health
                            -
                            An annual Executive Health Assessment at Medcan for proactive health awareness
                            -
                            Three weeks of vacation plus an additional day for every completed year
                            -
                            A $2000 Annual Learning & Development budget
                            -
                            Generous parental leave benefits with a top-up plan or paid time off options
                            -
                            Additional time-off: 2 weeks for Winter Holiday, every other Friday in July and August, your birthday, and more!
                            -
                            A $1000 work from home allowance to make your home setup perfect for you
                            -
                            An Oculus Quest 2 to connect with your team members in Virtual Reality
                            -
                            An executive coach for managers to assist in leading high-performing teams
                            -
                            Complimentary Headspace account to support mental wellness and focus
                            -
                            Complimentary genome sequencing from 23andMe to better understand your health through your DNA
                            -

                            -
                            Our Culture:
                            -
                            We believe culture is critical to success and invest accordingly. We live and promote our FASTT values of focus, advancement with speed, tenacity, and transparency. We work hard to maintain an engaging, supportive environment where everyone can do their best work. To learn more, read our culture deck.
                            -

                            -
                            Diversity, Equity, and Inclusion:
                            -
                            We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. To learn more, read about our DEI initiatives.
                            -

                            -
                            Accessibility Accommodations:
                            -
                            BenchSci provides accessibility accommodations during the recruitment process. Should you require any accommodation, we will work with you to meet your needs.
                            -

                            -
                            #LI-Remote
                            -
                            ",,https://jobs.lever.co/benchsci/9da6acd3-bc56-445a-a34f-e3b0198eb315?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2022-04-13T16:18:40.194Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/114036071-senior-software-engineer-data-remote-at-benchsci,https://jobs.lever.co/benchsci/9da6acd3-bc56-445a-a34f-e3b0198eb315,expired,2022-03-11T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Health,Senior Level,Bachelors Degree,New Posting, -a6483abf-3d32-4d1c-96a5-5b4f13e059f7,113752279,Borealis AI,Machine Learning Software Engineer,on_site,"Ontario, Canada",2022-03-10T21:45:02.646Z,"
                            Available Locations
                            Vancouver

                            What\'s the opportunity?

                            -
                            -

                            We’re looking for an enthusiastic software developer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Machine Learning Software Engineer, you’ll be part of building, delivering, and improving our diverse set of ML products.

                            -

                            -

                            At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision.

                            -

                            Your responsibilities include:

                            -
                              -
                            • Designing, building, and improving machine learning-based software solutions
                            • -
                            • Collaborating with research and business teams to converge on the best solutions
                            • -
                            • Optimizing algorithms and prototypical solutions for efficient implementation
                            • -
                            • Supporting projects with thorough documentation of usage, design decisions and capabilities
                            • -
                            -

                            You\'re our ideal candidate if you:

                            -
                              -
                            • A bachelor’s degree in Computer Science, Software Engineering, or equivalent. A degree in an AI sub-field is an asset
                            • -
                            • 1+ years of software development experience (including co-op and internships) in a high-responsibility, minimal-supervision environment
                            • -
                            • Experience with writing modular and robust software in one of the major languages. Experience in Python is an asset
                            • -
                            • Familiarity with the Unix command line and bash scripting
                            • -
                            • Familiarity with RDBMS and/or NoSQL graph databases
                            • -
                            • Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management.
                            • -
                            -
                            -

                            What\'s in it for you?

                            -
                              -
                            • Build cutting-edge software solutions that impact millions of users
                            • -
                            • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential
                            • -
                            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable
                            • -
                            • Leaders who support your development through coaching and managing opportunities
                            • -
                            • Ability to make a difference and lasting impact from a local-to-global scale
                            • -
                            -

                            About Borealis AI

                            -

                            Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                            -

                            Inclusion and Equal Opportunity Employment

                            -

                            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                            ",,https://www.borealisai.com/en/careers/employment/5875943002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-04-13T16:08:27.737Z,False,0,8,25,https://talenthub.vectorinstitute.ai/jobs/113752279-machine-learning-software-engineer-at-borealis-ai,,expired,2022-03-10T21:45:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -01437e70-efed-498a-a06e-5c2e107de360,113752271,Borealis AI,Machine Learning Engineering Lead,on_site,"Ontario, Canada",2022-03-10T21:45:02.150Z,"

                            What\'s the opportunity?

                            -
                            -

                            We’re looking for an Engineering Manager to lead our Equities Returns Prediction team, being at the forefront of machine learning technology and working on extremely challenging problems.

                            -

                            -

                            As a Machine Learning Engineering Lead, you’ll be responsible for owning and delivering a project end to end – everything from data pre-processing to implementing machine learning training pipelines and deploying inference in a production environment. You’ll be directly managing a team of machine learning engineers, responsible for strategic planning, execution and delivery. You will provide your team with technical leadership and mentorship. You will work along other engineering leads across Borealis AI. As a people manager you will be responsible for growing your team and fostering career growth of the engineers.

                            -

                            Your responsibilities include:

                            -
                              -
                            • Lead and directly manage a team of engineers, being responsible for planning execution and delivery of ML systems;
                            • -
                            • Establish high standards and share knowledge in performance, scalability, enterprise system architecture, and engineering best practices;
                            • -
                            • Establish and maintain collaboration with research and business teams to converge on the best solutions;
                            • -
                            • Extending prototypes into fully functional, polished solutions ready for internal and/or external use;
                            • -
                            • Grow and develop the team, helping each team member advance in their career.
                            • -
                            -

                            You\'re our ideal candidate if you:

                            -
                              -
                            • Have 7+ years of experience delivering software projects to production;
                            • -
                            • Have experience managing a team of engineers;
                            • -
                            • Have experience developing modular, robust, scalable software in a modern programming language;
                            • -
                            • Experience working with business, product and other technical teams;
                            • -
                            • Experience with scaling and performance of large systems;
                            • -
                            • Have led the full lifecycle of software product development including the successful deployment of products to production;
                            • -
                            • Experience taking a leading role in building complex software products, fostering career growth of software engineers, and establishing software engineering best practices within your team;
                            • -
                            • Have background in machine learning or a related field;
                            • -
                            • Experience with Capital Markets or any financial domain is a big plus.
                            • -
                            -
                            -

                            What\'s in it for you?

                            -
                              -
                            • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                            • -
                            • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                            • -
                            • Leaders who support your development through coaching and managing opportunities;
                            • -
                            • Ability to make a difference and lasting impact from a local-to-global scale.
                            • -
                            -

                            About Borealis AI

                            -

                            Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                            -

                            Inclusion and Equal Opportunity Employment

                            -

                            RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                            ",,https://www.borealisai.com/en/careers/employment/5022745002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-04-13T16:09:41.141Z,False,0,0,13,https://talenthub.vectorinstitute.ai/jobs/113752271-machine-learning-engineering-lead-at-borealis-ai,,expired,2022-03-10T21:45:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, -83803599-34d4-4935-8165-9b79079e5c48,119896678,TD Bank Group,Data Engineer,on_site,"Toronto, ON",2022-04-11T21:02:08.326Z,"
                            -

                            Company Overview

                            -
                            -

                            Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                            -

                            Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                            -
                            -

                            -

                            Department Overview

                            -
                            -

                            Our vision to be the Better Bank is grounded in our purpose-driven and forward-focused strategy. Amidst a rapidly changing landscape, we know that technology plays a critical role in achieving this vision and delivering on our strategy. It also signals the need to accelerate investment in emerging capabilities to adapt to the changes happening around us and respond to customer needs more quickly. To accomplish this, we’re evolving our Platforms, introducing key enterprise Practices and re-imagining our customer Journeys as part of the Next Evolution of Work (NEW).

                            -

                            NEW will empower colleagues to make decisions faster, work more efficiently and quickly identify and address customer and market trends to deliver innovative solutions at an unprecedented pace. NEW will enable us to move with purpose towards common goals, simplify how we work and elevate how we deliver customer value. By joining NEW, you’ll have the opportunity to be part of a new way of working while making an impact on the future of banking in ways you’ve never imagined.

                            -

                            Introducing the Data as a Service (DaaS) Platform! This Platform will develop a centralized data strategy and roadmap to enable TD to shift to a data-driven organization and help us extract value from the data we create, collect and consume. The Platform will include applications responsible for the creation and management of data lakes, standards, analytical tools and governance. DaaS will consolidate over ~110 assets and ~200 applications, aggregate our customer data, and bring together data subject matter experts from Practices, such as Data, Software Engineering and Quality Engineering.

                            -
                            -

                            -

                            Job Description

                            -
                            -

                            Are you an experienced data professional, equipped with both conceptual and practical expertise in business information management? If so, this role offers a hands-on and high growth career opportunity to provide business technical leadership across a broad range of information management functions while supporting various areas of data and analytics.

                            -

                            If you enjoy working with colleagues and project teams then this specialist role is for you! You’ll work with business and technology partners to understand business data to ensure the analysis and requirements provided align with the overall design and data management standards.

                            -

                            As a Business Information Management Data Practitioner, you will:

                            -
                              -
                            • Bring conceptual and practical level expertise to provide solutions and knowledge on a diverse range of tasks
                            • -
                            • Leverage your strong programming skills to develop a diverse range of data solutions and analyses, demonstrating your in-depth experience with very large datasets and big data technologies
                            • -
                            • Engage in business and data requirements to develop complete business solutions
                            • -
                            • Design and implement complex business data information management frameworks
                            • -
                            • Engage in testing of the technical information systems to ensure data integrity and system functionality
                            • -
                            • Collaborate with business and technology partners to resolve data issues and ensure requirements delivery and compliance (e.g. with enterprise framework, methodologies, financial controls, and other requirements)
                            • -
                            • Participate fully as a member of a Scaled Agile pod, support a positive work environment where everyone thinks like a customer, promotes quality and drives innovation
                            • -
                            -
                            -

                            -

                            Requirements

                            -
                            -

                            Potential Candidates interested in this role should have:

                            -
                              -
                            • Undergraduate degree or technical certificate in a relevant field
                            • -
                            • Experience from a statistical, mathematical, computer science, financial background or equivalent
                            • -
                            • Experience in data programming languages, patterns and design principles
                            • -
                            • Expertise in using analytical software tools, data analysis methods and reporting techniques
                            • -
                            • Expertise in data storage and movement, including relational and big data
                            • -
                            • Strong analytical and problem-solving skills
                            • -
                            • In-depth knowledge of competitor and market trends
                            • -
                            • Ability to analyze, organize and prioritize work while meeting multiple deadlines
                            • -
                            • Ability to work cooperatively and independently as part of a Scaled Agile pod
                            • -
                            • Effective communication skills (oral and written) with the ability to build positive relationships across teams
                            • -
                            • Act as a brand champion for our business area / function and TD, both internally and externally
                            • -
                            -
                            -

                            -

                            Additional Information

                            -
                            -Data engineering:

                            -
                              -
                            • Degree in Computer Science
                            • -
                            • Preferred course work – Java, .net, RDBMS (Relational data base management system), Agile concepts, Cloud concepts
                            • -
                            -

                            #dataengineer
                            Locations:

                            -
                              -
                            • Toronto
                            • -
                            • Montreal
                            • -
                            • Markham
                            • -
                            • London
                            • -
                            • Ottawa
                            • -
                            • New Jersey, USA
                            • -
                            • Delaware, USA
                            • -
                            -
                            * L7- L10
                            -
                            -

                            -

                            Hours

                            -
                            37.5
                            -

                            -

                            Inclusiveness

                            -

                            At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                            -

                            -
                            ",,https://jobs.td.com/en-CA/jobs/13893391/data-engineer-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-04-14T21:07:12.947Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/119896678-data-engineer-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13893391/data-engineer-toronto-ca/,expired,2022-04-11T21:02:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -8bde3ef8-5d49-4f58-bbde-f0cfa5dc34ce,119809553,Sun Life Financial,Business Data Analyst,on_site,"Ontario, Canada",2022-04-11T07:26:03.751Z,"
                            -

                            You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                            -

                            -

                            -

                            Job Description:

                            -

                            Role Summary

                            -

                            The Corporate Applications Services (CAS) /Finance Shared Services team is looking for a Business Data Analyst (SAP) role with adequate analytical skills and business systems to become a member of the Finance Shared Services team and be part of the SAP COE(Centre of Excellence), support organization going forward.

                            -

                            -

                            In this position, you will serve as the primary resource for SAP General Ledger, Group Reporting & Business Warehouse applications (including Master Data, Chart of Values & Reporting Hierarchies) pertaining to operation support and project initiatives reporting to the Manager Business System Analysis.

                            -

                            -

                            What will you do?

                            -
                              -
                            • Support Director/Manager Business Systems Analysis in day-to-day operations regarding reference data/master data maintenance and management

                            • -
                            • Working with the client to ensure day-to-day support and maintenance activities, which include problem solving

                            • -
                            • Performing finance related activities in multiple system landscapes, such as revaluation/translation and consolidation

                            • -
                            • Identification/tracking/resolution as well as new requests including the new projects and enhancements

                            • -
                            • Participate in business requirement gathering and analysis and contribute on the reference data requirements identification and configuration

                            • -
                            • Documentation and maintenance of operational guides and documentation

                            • -
                            • Documentation of user documents and training the users on applications supported by FSS

                            • -
                            • Working and coordinating effectively with our offshore partners to ensure quality and timely deliverables

                            • -
                            • Work with technical team, business systems analyst to resolve any issues/defects from the Finance users

                            • -
                            -

                            -

                            What will you need to succeed?

                            -
                              -
                            • Business, accounting and/or finance degree

                            • -
                            • Minimum of 2 years of experience in the financial services industry with extensive knowledge of financial analyses and reporting

                            • -
                            • Strong computer skills in Microsoft Office applications with proficiency in Excel and PowerPoint.

                            • -
                            • Strong written and oral communication skills and the ability to effectively communicate at most levels of the organization

                            • -
                            • Strong data analytics skills

                            • -
                            • Solid understanding of accounting systems and processes

                            • -
                            • Working experience of SAP general ledger and reporting applications (1-2 years), similar ERP systems will be considered, and SAP training will be provided

                            • -
                            -

                            -

                            Unique Requirements

                            -
                              -
                            • Occasional work outside of normal business hours as part of a global team

                            • -
                            • Occasional weekend work in support of project delivery and implementations

                            • -
                            -

                            -

                            What’s in it for you?

                            -
                              -
                            • Great Place to Work® Certified in Canada and the US.

                            • -
                            • Named 2021 “Best Places to Work” by Glassdoor

                            • -
                            • Canada Award for Excellence for Mental Health at Work - 2021

                            • -
                            • Flexible hybrid work model including in-country work-from-home if you prefer.

                            • -
                            • Pension, stock and savings programs to help build and enhance your future financial security

                            • -
                            • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                            • -
                            • A friendly, collaborative, and inclusive culture

                            • -
                            • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

                            • -
                            -

                            -

                            #LI-Remote

                            -
                              -

                              -

                              The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                              -

                              -

                              Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                              -

                              -

                              Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                              -

                              -

                              At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                              -

                              -

                              Sun Life is committed to the health and safety of all those in our workplaces and our communities. In accordance with Sun Life’s Vaccination Policy (Canada):

                              -
                                -
                              • Employees permitted to work remotely are required to be fully vaccinated against COVID-19 in order to attend a Sun Life office, Financial Centre or offsite location where activity related to Sun Life business occurs.

                              • -
                              • Employees whose job duties require them to attend a Sun Life office, Financial Centre or offsite location for Sun Life business must be fully vaccinated against COVID-19 effective May 1st. Employees in these roles may participate in Sun Life’s Rapid Screening Program as an alternative until April 30th.

                              • -
                              -

                              -

                              We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                              -

                              -

                              Salary Range:

                              56,300/56 300 - 92,900/92 900

                              -

                              Job Category:

                              Business Analysis - Systems

                              -

                              Posting End Date:

                              17/04/2022
                              ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Business-Data-Analyst_JR00056872-1?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-04-18T07:31:02.952Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/119809553-business-data-analyst-at-sun-life-financial,,expired,2022-04-11T07:26:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -d2d561e1-c06f-4eb6-a446-b472856e9386,116632741,Shopify Inc.,"Staff (Lead) Data Scientist (Remote, Canada)",on_site,"Ontario, Canada",2022-03-25T07:33:16.801Z,"

                              About the role

                              -

                              Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.

                              -

                              Our Staff (i.e Lead) Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.

                              -

                              -

                              Qualifications

                                -
                              • 7-10 years of commercial experience in a data science role solving high impact business problems
                              • -
                              • You have well built technical experience that inspires individual contributors creativity and innovation.
                              • -
                              • You have experience with product leadership and technical decision making.
                              • -
                              • You have been working closely with various levels of business stakeholders, from c-suite and down.
                              • -
                              • You can jump into the code on a deep level, but are also able to contribute to long term initiatives by mentoring your team.
                              • -
                              • Multiple work streams excites you, you are able to use ambiguity as an opportunity for high level thinking.
                              • -
                              • Experience creating data product strategies, data products, iterating after launch, and trying again.
                              • -
                              • Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
                              • -
                              -

                              What would be great if you have:

                              -
                                -
                              • Previous experience using Spark.
                              • -
                              • Experience with statistical methods like regression, GLMs or experiment design and analysis.
                              • -
                              • Exposure to Tableau, QlikView, Mode, Matplotlib, or similar data visualization tools.
                              • -
                              -

                              -
                              -
                              -
                              -

                              All your information will be kept confidential according to EEO guidelines.

                              -

                              If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.

                              -

                              #LI-REMOTE

                              -

                              Shopify is now permanently remote, and we’re working towards a future that is digital by design. That location you see above? Consider it merely an example of hundreds of potential locations Shopify is hiring. Learn more here: https://www.shopify.com/careers/work-anywhere

                              -

                              Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

                              -

                              At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.

                              How we hire

                              At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
                              Learn more about our hiring process -
                              -
                              -
                              -
                              ",,https://www.shopify.ca/careers/staff-lead-data-scientist-remote-canada_c820bb56-a6e6-42be-9125-94c4b0a9a479,feed-importer@jobboard.io,,,,2022-04-27T13:48:06.672Z,False,0,0,18,https://talenthub.vectorinstitute.ai/jobs/116632741-staff-lead-data-scientist-remote-canada-at-shopify-inc,,expired,2022-03-25T07:33:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Team Lead,Bachelors Degree,New Posting, -3adf9515-f019-4ec9-b02f-2e6f940c1275,117636643,BenchSci,Engineering Manager - Data,on_site,"Toronto, Ontario /",2022-04-01T05:06:09.890Z,"
                              -
                              BenchSci’s vision is to bring novel medicine to patients 50% faster by 2025. We’re achieving it by empowering scientists with the world’s most advanced biomedical artificial intelligence. Backed by F-Prime, Gradient Ventures (Google’s AI fund), and Inovia Capital, our platform accelerates science at 15 top-20 pharmaceutical companies and over 4,300 leading research centers worldwide. We’re a remote-first company recognized for our impact and culture as a Deloitte Tech Fast 50TM, CIX Top 10 Growth, Great Place to Work®, and top-ranked organization on Glassdoor. Learn more at www.benchsci.com.
                              -

                              -
                              We are currently seeking an Engineering Manager to join our rapidly growing Data Team. Reporting to the Director of Engineering, Data & DevOps, you will be responsible for planning, delivery, mentoring, and coaching data engineers. In this impactful role, you will work closely with key stakeholders across the organization and be instrumental in cross-team priorities and management. The most successful candidates for this role will be experienced software engineers who have transitioned to leading individual engineers and delivering complex data engineering solutions.
                              -

                              -

                              -
                              -
                              -

                              You Will:

                              -
                                  -
                                • Own and drive execution of product and technical roadmaps
                                • -
                                • Take a leadership role in our recruiting, hiring, and onboarding processes
                                • -
                                • Provide mentorship and carry out regular 1:1 meetings with direct reports
                                • -
                                • Help improve the processes and patterns of data engineering at BenchSci
                                • -
                                • Engage with ML, Science, and Product teams to facilitate the delivery of complex projects with high quality in a timely manner
                                • -
                                • Analyze, plan, and develop requirements and standards in reference to upcoming company projects
                                • -
                                • Be a standard-bearer for culture who actively works towards building a cohesive team united by common engineering principles
                                • -
                                • Delegate tasks and manage all technical issues within your team
                                • -
                                • Work with your team to continuously drive improvements in quality and productivity
                                • -
                                • Be an organizational leader, defining and contributing to cross-team initiatives and vision
                                • -
                              -
                              -
                              -

                              You Have:

                              -
                                  -
                                • 5+ years of experience working as a professional developer
                                • -
                                • 2+ years of experience working as an engineering team manager
                                • -
                                • Experience in a leadership role providing technical direction to less senior staff
                                • -
                                • A proven track record of delivering complex development projects
                                • -
                                • Solid experience with relational databases and data modeling
                                • -
                                • Production experience with data processing tools such as Spark or Beam
                                • -
                                • Software engineering experience in Python
                                • -
                                • Well-versed in Agile practices
                                • -
                                • Strong leadership, engineering skills, and communication skills
                                • -
                                • The ability to understand and explain complex systems, and independently learn new technologies
                                • -
                              -
                              -
                              -
                              Benefits and Perks:
                              -
                              An engaging remote-first culture that hires the best talent from around the world
                              -
                              A competitive compensation package that includes BenchSci equity options
                              -
                              Comprehensive health and dental benefits with an emphasis on mental health
                              -
                              An annual Executive Health Assessment at Medcan for proactive health awareness
                              -
                              Three weeks of vacation plus an additional day for every completed year
                              -
                              A $2000 Annual Learning & Development budget
                              -
                              Generous parental leave benefits with a top-up plan or paid time off options
                              -
                              Additional time-off: 2 weeks for Winter Holiday, every other Friday in July and August, your birthday, and more!
                              -
                              A $1000 work from home allowance to make your home setup perfect for you
                              -
                              An Oculus Quest 2 to connect with your team members in Virtual Reality
                              -
                              An executive coach for managers to assist in leading high-performing teams
                              -
                              Complimentary Headspace account to support mental wellness and focus
                              -
                              Complimentary genome sequencing from 23andMe to better understand your health through your DNA
                              -

                              -
                              Our Culture:
                              -
                              We believe culture is critical to success and invest accordingly. We live and promote our FASTT values of focus, advancement with speed, tenacity, and transparency. We work hard to maintain an engaging, supportive environment where everyone can do their best work. To learn more, read our culture deck.
                              -

                              -
                              Diversity, Equity, and Inclusion:
                              -
                              We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. To learn more, read about our DEI initiatives.
                              -

                              -
                              Accessibility Accommodations:
                              -
                              BenchSci provides accessibility accommodations during the recruitment process. Should you require any accommodation, we will work with you to meet your needs.
                              -

                              -
                              #LI-Remote
                              -
                              ",,https://jobs.lever.co/benchsci/9010028d-bacd-4977-accd-217c39777cf4?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2022-04-28T18:45:00.000Z,False,0,0,14,https://talenthub.vectorinstitute.ai/jobs/117636643-engineering-manager-data-at-benchsci,https://jobs.lever.co/benchsci/9010028d-bacd-4977-accd-217c39777cf4,expired,2022-04-01T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Health,Manager,Bachelors Degree,New Posting, -35b46559-32ab-4bc4-84b3-67688d030342,117334496,Shopify Inc.,"Senior Data Science Manager - Merchant Services, Retail Growth (Remote, Canada)",on_site,"Ontario, Canada",2022-03-31T07:33:08.099Z,"

                              About the role

                              -

                              Our mission in Merchant Services, Retail is to help retailers everywhere thrive in an e-commerce reality.

                              -

                              As e-commerce becomes more and more crucial to an overall retail strategy, retailers must adapt and Shopify is uniquely positioned to help. We have developed world class retail Point-of-Sale (POS) products that have the power to transform retailers’ physical stores and businesses from offline to omnichannel. We’re looking for someone to help us get these products in the hands of merchants everywhere. Together, we’ll make commerce work for local communities and make commerce better for everyone.

                              -

                              For the Senior Data Science Manager, Retail Growth role, we’re looking for someone who will:

                              -
                                -
                              • Help drive customer acquisition, growth and activation to help us help merchants around the world
                              • -
                              • Use data to gain insights and drive decisions in growing a customer base

                              • -
                              • Lead a large team across multiple time zones and work cohesively to achieve shared goals

                              • -
                              • Partner closely with product growth leaders in Product, Engineering, UX and marketing to define growth strategy for Shopify retail

                              • -
                              • Identify, implement and measure new growth levers and product features through data analysis, product ideation, and experimentation to optimize product experiences

                              • -
                              • Lead a culture of understanding and experimentation defined by quantitative acumen, deep user empathy and rigorous A/B testing

                              • -
                              • Define and drive implementation of best practices in Data Engineering, Product Analytics and Machine Learning in alignment with business goals

                              • -
                              • Leverage deep industry knowledge to create broad awareness of the possibilities using data

                              • -
                              -

                              -

                              Qualifications

                              You will need to have:

                              -
                                -
                              • 5+ years managing highly-technical teams of Data Scientists, Engineers and Analysts

                              • -
                              • Strong track record of driving successful product growth strategy through a combination of data analysis, product ideation, and experimentation

                              • -
                              • Gifted communicator with strong focus on communicating in clear and compelling ways to audiences of many non-technical backgrounds

                              • -
                              • Applied experience working with large datasets both as an individual contributor and a leader

                              • -
                              • Familiarity with design and analysis of controlled experiments (A/B testing)

                              • -
                              • Hands-on experience with data querying languages (e.g. SQL)

                              • -
                              • Experience leading managers and senior individual contributors

                              • -
                              • Deep understanding of the Python programming language (strongly preferred)

                              • -
                              -

                              This is a world class product that has demonstrated product-market fit and a tremendous amount of potential to grow. With this role, you’ll have the opportunity to make a massive impact in a short amount of time and be a part of an incredible Shopify success story.

                              -
                              -
                              -
                              -

                              All your information will be kept confidential according to EEO guidelines.

                              -

                              If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.

                              -

                              #LI-REMOTE

                              -

                              -

                              Shopify is now permanently remote, and we’re working towards a future that is digital by design. That location you see above? Consider it merely an example of hundreds of potential locations Shopify is hiring. Learn more here: https://www.shopify.com/careers/work-anywhere

                              -

                              Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

                              -

                              At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.

                              How we hire

                              At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
                              Learn more about our hiring process -
                              -
                              -
                              -
                              ",,https://www.shopify.ca/careers/senior-data-science-manager-merchant-services-retail-growth-remote-canada_245aae24-4edd-44ba-a294-306aa4f1e0ef,feed-importer@jobboard.io,,,,2022-04-30T13:13:01.217Z,False,0,1,19,https://talenthub.vectorinstitute.ai/jobs/117334496-senior-data-science-manager-merchant-services-retail-growth-remote-canada-at-shopify-inc,,expired,2022-03-31T07:33:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Manager,Bachelors Degree,New Posting, -83c2aeb3-20f2-4a19-9b93-e106f34cfe6e,120269992,TELUS,Senior Data Scientist,on_site,"Ontario, Canada",2022-04-14T07:33:18.753Z,"
                              -
                              -

                              Description

                              -
                              -

                              -

                              Join our team

                              -


                              The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high quality data, and a data-product oriented culture while always keeping an eye on the horizon, preparing for the next big thing. We are entrepreneurial, and live by our AI Manifesto of failing fast and being outcome vs technology driven, creating value for our customers, team members, communities, and the environment.

                              -

                              -

                              The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web-visualizations, we do it all! Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

                              -


                              Here’s the impact you’ll make and what we’ll accomplish together

                              -

                              -

                              You’ll be a part of the team and journey that will transform the way we do business across various domains. You’ll collaborate with teams across the company, seeking out various data sources to help identify new business opportunities while championing data driven decision making and the accelerated adoption of AI. As a Data Scientist on the team, you will combine your expert knowledge of data science with your strong software development skills to automate and facilitate data exploration, analytics, machine learning model development, training and deployment and will leverage your experience in building reusable algorithms, functions and libraries.

                              -
                              -
                              -
                              -

                              Here\'s How

                              -
                              -

                              -
                                -
                              • Lead the iterative development, validation, and deployment of AI/ML models
                              • -
                              • Collaborate on end-to-end automation efforts required to bring models to production
                              • -
                              • Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
                              • -
                              • Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
                              • -
                              • Influence how we approach business challenges and opportunities by driving the adoption of a data driven mindset
                              • -
                              • Develop re-usable code aimed at delivering on future goals faster and more reliably
                              • -
                              • Support and evolve the Advanced Analytics and Data Science roadmap by leveraging industry research, best practices and emerging tools/technology
                              • -
                              • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
                              • -
                              -
                              -
                              -
                              -

                              Qualifications

                              -
                              -

                              -

                              -

                              You\'re the missing piece of the puzzle

                              -

                              -
                                -
                              • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
                              • -
                              • You are sought out for your skills in Machine Learning and AI, including classification, clustering, time series analysis, NLP, optimization, and deep learning and bring 3 or more years of hands-on work and practical business experience in the above areas
                              • -
                              • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences
                              • -
                              • You have solid development experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras and have applied these skills towards solving actual business matters
                              • -
                              • You have experience architecting and deploying end to end AI solutions in the cloud with reliability, scalability, security, and privacy considerations
                              • -
                              • You are comfortable in and with a Jupyter environment and infrastructure, and familiar with GitHub
                              • -
                              • You possess advanced knowledge in SQL and distributed computing
                              • -
                              • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
                              • -
                              • You are well versed in software and AI development lifecycles, including ML Ops
                              • -
                              • You are agile and have a bias for action, removing roadblocks to get results fast
                              • -
                              -

                              -

                              Great-to-haves

                              -

                              -
                                -
                              • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, Engineering, or Data Science
                              • -
                              • Experience with agile methodology and work in a start-up environment
                              • -
                              • GCP or other cloud certifications
                              • -
                              • Bayesian / Belief Networks, and Causal Inference
                              • -
                              -
                              -
                              -
                              ",,https://careers.telus.com/job/Toronto-Senior-Data-Scientist-ON/556220017/,feed-importer@jobboard.io,,,,2022-05-14T14:06:26.126Z,False,0,2,15,https://talenthub.vectorinstitute.ai/jobs/120269992-senior-data-scientist-at-telus,,expired,2022-04-14T07:33:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Masters Degree,New Posting, -a9c53c4f-9741-4d78-87a3-72911449764c,120230008,Deep Genomics,Graduate Research Intern (Machine Learning),on_site,"Toronto, Ontario /",2022-04-14T05:06:03.400Z,"
                              -
                              About us
                              -
                              Deep Genomics is a Toronto-based startup company that is changing the future of medicine using artificial intelligence. Founded in 2015, Deep Genomics brings together a multidisciplinary team of world-leading experts in machine learning, genomics, chemistry and biology. Together we are on a mission to develop an AI-powered platform for rapid discovery and development of the best genetic medicines, focusing on oligonucleotide drugs for the treatment of patients with rare genetic diseases.
                              -

                              -
                              Job Description
                              -
                              We are seeking exceptional graduate students for an 8 to 12-month internship in 2022. Deep Genomics is poised to become the foremost AI-powered genetic medicine company by using data-driven approaches at every step of the drug design process. This involves a series of steps from processing raw genomic data, to training and evaluating large-scale machine learning models and applying them to accelerate target discovery and drug design. With the help of experimental data generated as part of our drug discovery process, our models continuously improve by learning from both successes and failures. Successful candidates will have an opportunity to contribute to the AI revolution in Genomics and help better understand and cure genetic disease by working closely with our research scientists and engineers on problems that are highly relevant to our mission.
                              -

                              -
                              Our ML team works on developing our state-of-the-art AI workbench and using it to answer critical scientific questions. Collaboration is at the heart of our teams, we often:
                              -
                              - Meet with engineers and scientists with genomics, molecular biology, and medicine backgrounds to identify unique problems and brainstorm technical solutions
                              -
                              - Present our analyses to a broad multi-lingual audience to ensure statistical robustness and reproducibility
                              -
                              - Organize internal hackathons to quickly prototype solutions to problems
                              -
                              -
                              -

                              Requirements

                              -
                                  -
                                • Currently enrolled in a graduate program at a top-tier university in Computer Science, Electrical or Computer Engineering, Mathematics, or a related discipline.
                                • -
                                • Experience with designing, training, debugging and evaluating neural networks using modern frameworks such as Tensorflow or PyTorch.
                                • -
                                • Excellent scientific writing and presentation skills.
                                • -
                                • Programming experience in at least one of Python, C or C++
                                • -
                                • Strong organizational, interpersonal, and communication skills.
                                • -
                              -
                              -
                              -

                              What we offer

                              -
                                  -
                                • Opportunity to collaborate with leading scientists working at the intersection of ML and genomics and contribute to this rapidly advancing field
                                • -
                                • Inspiring, creative and fast-moving startup located right next to the University of Toronto and within the MaRS Discovery District – an expanding hub of research in AI and genomics
                                • -
                                • Competitive compensation package
                                • -
                              -
                              -
                              -
                              Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.
                              -

                              -
                              Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
                              -
                              ",,https://jobs.lever.co/deepgenomics/f838dbb2-da2f-4b4b-ac57-2585a7128f91,feed-importer@jobboard.io,,,,2022-05-14T14:04:06.282Z,False,0,15,94,https://talenthub.vectorinstitute.ai/jobs/120230008-graduate-research-intern-machine-learning-at-deep-genomics,https://jobs.lever.co/deepgenomics/f838dbb2-da2f-4b4b-ac57-2585a7128f91,expired,2022-04-14T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Health,Internship/Co-op,Masters Degree,Re-Posting an Expired Job, -efb169ee-9017-42cb-8522-2d44a6019010,120202543,Borealis AI,Machine Learning Researcher,on_site,"Ontario, Canada",2022-04-13T21:45:06.066Z,"
                              -

                              What\'s the opportunity?

                              -

                              As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                              -

                              -

                              Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                              -
                              -
                              -

                              Your responsibilities include:

                              -
                                -
                              • Developing novel AI solutions that facilitate impactful products;
                              • -
                              • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                              • -
                              • Working with the development team to transfer research work into production;
                              • -
                              • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                              • -
                              • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                              • -
                              -
                              -
                              -

                              You’re our ideal candidate if you have:

                              -
                                -
                              • A passion for solving open problems using data and algorithms;
                              • -
                              • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                              • -
                              • Ability to formulate and drive a research project independently without close supervision;
                              • -
                              • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                              • -
                              -
                              -
                              -

                              What’s in it for you?

                              -
                              -
                                -
                              • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                              • -
                              • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                              • -
                              • Leaders who support your development through coaching and managing opportunities;
                              • -
                              • Ability to make a difference and lasting impact from a local-to-global scale.
                              • -
                              -

                              About Borealis AI

                              -
                              -
                              -

                              Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                              -

                              Inclusion and Equal Opportunity Employment

                              -

                              RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                              -

                              ",,https://www.borealisai.com/en/careers/employment/5409806002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-05-14T14:01:04.585Z,False,0,3,67,https://talenthub.vectorinstitute.ai/jobs/120202543-machine-learning-researcher-at-borealis-ai,,expired,2022-04-13T21:45:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, -97aaa364-366c-48e3-99b0-f5bc0a036e2f,124109997,TELUS,Data Scientist,on_site,"Ontario, Canada",2022-05-05T07:35:04.852Z,"
                              -
                              -

                              Description

                              -
                              -


                              Ready to create innovative solutions and best practices?

                              -

                              -

                              Join our team

                              -

                              -

                              The AI Data & Analytics team consists of Analysts, Data Scientists, Data Engineers, Strategy Managers, and Program Managers who are all passionate about enhancing the customer experience using the latest AI & ML technologies.

                              -

                              -

                              We are building the next generation of Demand Forecasting, Customer Behavioral, and Intents Prediction models to deliver deeper insight into our business and support planning processes to ensure optimal outcomes for our customers.

                              -

                              -

                              Our team enjoy a flexible work style with the ability to work in or out of the office, in an innovative environment, that influences the direction and performance of the business.

                              -

                              -

                              Here’s the impact you’ll make and what we’ll accomplish together

                              -

                              -

                              As an experienced professional in the field of data science, you will be part of the journey that brings us to a better understanding of our customers in order to predict their needs and interaction behaviour.

                              -

                              -

                              With a natural curiosity to experiment, and expert knowledge of AI & ML concepts, you’ll perform hypothesis validation and develop models through an iterative approach in order to predict customer demand.

                              -

                              -

                              You will be part of a team that supports your personal growth with progressive training and development while also providing opportunities for you to showcase your abilities by contributing to high-value and high-visibility projects.

                              -

                              Here\'s how

                              -

                              -
                                -
                              • Develop and implement ML & AI and Big Data solutions including predictive modelling, customer impact assessments, etc
                              • -
                              • Support and evolve the Advanced Analytics and Data Management roadmap by leveraging industry research, best practices, and emerging tools/technology
                              • -
                              • Execute, oversee, and evolve models and algorithms selection to deliver solutions that are relevant and facilitate decision making
                              • -
                              • Build and maintain a interlock with key stakeholders to understand business needs and priorities
                              • -
                              • Identify opportunities for process/model optimization and refine to improve effectiveness/accuracy and enhance ROI
                              • -
                              • Collaborate with Data Scientists and Data Engineers within TELUS as well as external Data Science communities
                              • -
                              -

                              -
                              -
                              -
                              -

                              Qualifications

                              -
                              -

                              -

                              You\'re the missing piece of the puzzle

                              -

                              -
                                -
                              • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics, and other advanced analytical techniques
                              • -
                              • You are sought out for your skills in Machine Learning, Classification, Clustering, Segmentation, Time Series Analysis, Demand Forecasting and Optimization
                              • -
                              • Experience developing in Python; comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras
                              • -
                              • Comfortable with Jupyter environment and infrastructure, Spyder/PyCharm
                              • -
                              • Proficiency with SQL
                              • -
                              • Experience with at least one of the major cloud computing platforms - GCP, AWS, Azure
                              • -
                              • Well versed in software development lifecycle and ML Ops concepts
                              • -
                              -

                              -

                              Great-to-haves

                              -

                              -
                                -
                              • Degree in a quantitative field such as Math, Statistics, Computer Science, Economics, or Data Science
                              • -
                              • Data visualization experience: Data Studio, Tableau, PowerBI, Domo
                              • -
                              • Data environments experience: MS SQL, Oracle
                              • -
                              • Experience using Google Workspace
                              • -
                              • Experience with agile methodology and team-based software development workflows (e.g. JIRA)
                              • -
                              -

                              -
                              -
                              -
                              ",,https://careers.telus.com/job/Barrie-Data-Scientist-ON/557884517/,feed-importer@jobboard.io,,,,2022-05-12T19:51:00.000Z,False,0,3,14,https://talenthub.vectorinstitute.ai/jobs/124109997-data-scientist-at-telus,,expired,2022-05-05T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, -097a0991-c122-4ba1-b4af-da2942f7c05c,122858455,BenchSci,Engineering Manager - Data (Remote),on_site,"Ottawa, Ontario /",2022-04-29T05:06:09.912Z,"
                              -
                              BenchSci’s vision is to bring novel medicine to patients 50% faster by 2025. We’re achieving it by empowering scientists with the world’s most advanced biomedical artificial intelligence. Backed by F-Prime, Gradient Ventures (Google’s AI fund), and Inovia Capital, our platform accelerates science at 15 top-20 pharmaceutical companies and over 4,300 leading research centers worldwide. We’re a remote-first company recognized for our impact and culture as a Deloitte Tech Fast 50TM, CIX Top 10 Growth, Great Place to Work®, and top-ranked organization on Glassdoor. Learn more at www.benchsci.com.
                              -

                              -
                              We are currently seeking an Engineering Manager to join our rapidly growing Data Team. Reporting to the Director of Engineering, Data & DevOps, you will be responsible for planning, delivery, mentoring, and coaching data engineers. In this impactful role, you will work closely with key stakeholders across the organization and be instrumental in cross-team priorities and management. The most successful candidates for this role will be experienced software engineers who have transitioned to leading individual engineers and delivering complex data engineering solutions.
                              -

                              -

                              -
                              -
                              -

                              You Will:

                              -
                                  -
                                • Own and drive execution of product and technical roadmaps
                                • -
                                • Take a leadership role in our recruiting, hiring, and onboarding processes
                                • -
                                • Provide mentorship and carry out regular 1:1 meetings with direct reports
                                • -
                                • Help improve the processes and patterns of data engineering at BenchSci
                                • -
                                • Engage with ML, Science, and Product teams to facilitate the delivery of complex projects with high quality in a timely manner
                                • -
                                • Analyze, plan, and develop requirements and standards in reference to upcoming company projects
                                • -
                                • Be a standard-bearer for culture who actively works towards building a cohesive team united by common engineering principles
                                • -
                                • Delegate tasks and manage all technical issues within your team
                                • -
                                • Work with your team to continuously drive improvements in quality and productivity
                                • -
                                • Be an organizational leader, defining and contributing to cross-team initiatives and vision
                                • -
                              -
                              -
                              -

                              You Have:

                              -
                                  -
                                • 5+ years of experience working as a professional developer
                                • -
                                • 2+ years of experience working as an engineering team manager
                                • -
                                • Experience in a leadership role providing technical direction to less senior staff
                                • -
                                • A proven track record of delivering complex development projects
                                • -
                                • Solid experience with relational databases and data modeling
                                • -
                                • Production experience with data processing tools such as Spark or Beam
                                • -
                                • Software engineering experience in Python
                                • -
                                • Well-versed in Agile practices
                                • -
                                • Strong leadership, engineering skills, and communication skills
                                • -
                                • The ability to understand and explain complex systems, and independently learn new technologies
                                • -
                              -
                              -
                              -
                              Benefits and Perks:
                              -
                              An engaging remote-first culture that hires the best talent from around the world
                              -
                              A competitive compensation package that includes BenchSci equity options
                              -
                              Comprehensive health and dental benefits with an emphasis on mental health
                              -
                              An annual Executive Health Assessment at Medcan for proactive health awareness
                              -
                              Three weeks of vacation plus an additional day for every completed year
                              -
                              A $2000 Annual Learning & Development budget
                              -
                              Generous parental leave benefits with a top-up plan or paid time off options
                              -
                              Additional time-off: 2 weeks for Winter Holiday, every other Friday in July and August, your birthday, and more!
                              -
                              A $1000 work from home allowance to make your home setup perfect for you
                              -
                              An Oculus Quest 2 to connect with your team members in Virtual Reality
                              -
                              An executive coach for managers to assist in leading high-performing teams
                              -
                              Complimentary Headspace account to support mental wellness and focus
                              -
                              Complimentary genome sequencing from 23andMe to better understand your health through your DNA
                              -

                              -
                              Our Culture:
                              -
                              We believe culture is critical to success and invest accordingly. We live and promote our FASTT values of focus, advancement with speed, tenacity, and transparency. We work hard to maintain an engaging, supportive environment where everyone can do their best work. To learn more, read our culture deck.
                              -

                              -
                              Diversity, Equity, and Inclusion:
                              -
                              We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. To learn more, read about our DEI initiatives.
                              -

                              -
                              Accessibility Accommodations:
                              -
                              BenchSci provides accessibility accommodations during the recruitment process. Should you require any accommodation, we will work with you to meet your needs.
                              -

                              -
                              #LI-Remote
                              -
                              ",,https://jobs.lever.co/benchsci/f6539aed-3071-479e-9076-2d26737c24f2?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2022-05-13T05:11:07.143Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/122858455-engineering-manager-data-remote-at-benchsci,https://jobs.lever.co/benchsci/f6539aed-3071-479e-9076-2d26737c24f2,expired,2022-04-29T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Health,Manager,Bachelors Degree,New Posting, -d0ba544f-4db5-42a1-b798-4143f2bfdd0e,120460796,FreshBooks,Data/AI Evangelist (Canada - Remote),on_site,"Toronto, ON, Canada",2022-04-15T05:06:10.413Z,"

                              Data/AI Evangelist

                              -

                              About FreshBooks:

                              -

                              It turns out… unicorns are real! In fact, FreshBooks just became one after raising our valuation to more than $1 billion. And ever since launching in 2003, we’ve been on a steady incline towards one goal: Building easy-to-use accounting software for small business owners. It’s the goal that’s driven us to expand into five offices, serving customers in over 160 countries. And it’s the goal we’d love for you to be a part of as a member of our global team as we continue our journey.

                              -

                              About the Data Team:

                              -

                              The Data team is responsible for driving the adoption of data driven decision making across FreshBooks - for both our internal stakeholders and our global user base of small business owners, bookkeepers and accountants. We are the center of expertise for data strategy, data architecture, data modeling, machine learning, ethical data usage and artificial intelligence service design. We lead the effort to raise the data and AI literacy levels across FreshBooks and to embed our commitments to responsible data use into culture and practices across our fast-growing organization. Data strategy is an emerging specialist group, building global collaborations to define, communicate and drive a cohesive approach to data usage that combines commercialisation, consent, ethics and sustainability. They work with colleagues from diverse backgrounds to drive robust and mature decision making around using data as a commercial asset, aligned to our belief in the primacy of customer consent.

                              -

                              The Opportunity - Data/AI Evangelist

                              -

                              As a Data Evangelist on the Data team, you will work across the FreshBooks organization to showcase how we can drive value from our rich data assets, while raising data and AI literacy across the organization. This is an internal facing role, specifically focussed on working closely with Product, Engineering, Marketing & Sales to accelerate collaboration with the Data teams and drive in-app data product use cases. You will be reporting into and supporting the Productized Insights Team Lead, whose mission is to facilitate our internal teams to deploy and deliver customer facing data products that leverage our rich data asset. This is a unique role designed to be a catalyst for the integration of AI products within our platform, and is well suited to individuals with prior experience managing and delivering in-app data science and machine learning products.

                              -

                              What you'll do:

                              -
                                -
                              • Establish and drive a scalable global data and AI literacy capability across FreshBooks
                              • -
                              • Help foster a data-driven culture, build trust in data
                              • -
                              • Establish and grow relationships with Product, Engineering, Marketing & Sales team leaders, to help drive adoption and use of data/ML products within those teams and across the organization.
                              • -
                              • Work closely with Product, Engineering, Marketing & Sales teams to help raise the level and complexity of data and data products usage, help teams become more data driven.
                              • -
                              • Develop training, workshops or case-studies bridge the gap between the technical expertise of data/ML teams and the business & product domains
                              • -
                              • Support data driven value discovery and facilitate data driven innovation in the product.
                              • -
                              • Develop a comprehensive approach to measuring the efficacy of the training initiative, including an estimation of the commercial benefit to FreshBooks
                              • -
                              • Identify and leverage the highest impact ways to grow knowledge across a fast growing organization where teams live with multiple, competing priorities
                              • -
                              • Seek to understand incentives and impediments around behavioral change and consider ways to make it easier for people to implement their new skills and knowledge
                              • -
                              • Use your understanding of the relationships between growing data skills and the quality of our data assets to work with the Data leadership team and relevant Product teams to highlight issues and improve the coherence and fidelity of our data.
                              • -
                              • Help uncover and translate business requirements and needs.
                              • -
                              • Help the business identify the right use cases and support prioritization based on feasibility and value.
                              • -
                              • Help with the development of a MVPs and business use cases
                              • -
                              -

                              -We think you'll be amazing for this position if your application can demonstrate: -

                              -
                                -
                              • Proven experience leading, developing and executing data/AI literacy initiatives in corporate environments
                              • -
                              • Communicating the role and value of a data driven approach as well as associated strategy/blueprint within the organizational context
                              • -
                              • Building trust and credibility with stakeholders and successful, collaborative working relationships across the business
                              • -
                              • Influencing change in dynamic, complex environments with multiple competing priorities
                              • -
                              • 2+ years of product management experience and a consistent track record of delivering impact through engineering or product teams
                              • -
                              • 2+ years of experience shipping consumer-facing technology products at scale, with proven experience in recommendations, personalization, data engineering, or machine-learning based products
                              • -
                              -






                              ",,https://boards.greenhouse.io/freshbooks/jobs/4128775,feed-importer@jobboard.io,,,,2022-05-19T14:22:34.752Z,False,0,2,32,https://talenthub.vectorinstitute.ai/jobs/120460796-data-ai-evangelist-canada-remote-at-freshbooks,https://boards.greenhouse.io/freshbooks/jobs/4128775,expired,2022-04-15T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,New Posting, -9ca4ba9b-5c26-4251-896a-9542a25fda1e,121086441,Accenture,Data Engineering Senior Manager,on_site,"British Columbia - Vancouver,Ontario - Ottawa,Ontario - Toronto,Quebec - Montreal",2022-04-17T22:46:04.238Z,"

                              Job Description

                              Data Engineering Sr Manager

                              -

                              -

                              Location: Toronto/ Montreal/Ottawa

                              -

                              -

                              WORK YOU’LL DO

                              -

                              -

                              Do you have a pulse on new technologies and a desire to change the way business gets done? Do you want to implement emerging solutions for some of the most successful companies around? If you answered yes to these questions and you are passionate about helping clients effectively manage enormous amounts of data to generate knowledge and value, then we want to meet you.

                              -
                                -
                              • Plan and deliver technology and business value to the Client and Accenture by leveraging a deep understanding of value based & transaction-based deals.

                              • -
                              • Ensure that the platform requirements are dynamically managed to stay aligned to the business drivers

                              • -
                              • Drive or contribute to commercial and contractual discussions with the client & Accenture stakeholders to ensure that the value proposition for the program is clearly defined and articulated

                              • -
                              • Define and manage the realization of value delivered from the platform on an ongoing basis including effective reporting to the relevant stakeholders

                              • -
                              • Manage client expectations in terms of overall delivery along with Delivery leads on the ground

                              • -
                              • Establish methodology and accelerators to reduce initiation efforts from engagement to engagement

                              • -
                              -
                                -
                              • Develop an overarching and compelling sales narrative around the offering

                              • -
                              • Become a trusted advisor to help your clients, team, and Accenture Leadership stay current on trends, and innovations across your area of expertise

                              • -
                              • Harvest and build thought leadership, assets, best practices and contribute to the continuous growth of the Accenture

                              • -
                              • Bilingual French an asset

                              • -
                              -

                              -

                              JOB DESCRIPTION

                              -

                              -

                              Data Engineering Architects at the Senior Manager level will be responsible for providing solutions to digital age data challenges in multiple industries through architecture, design and implementation of an ecosystem of Hadoop, NoSQL, Self-Service Data Preparation, AI, Machine Learning and other modern data technologies on premise and also on Cloud. The solutions typically will include re-engineering the data acquisition, storage, processing, security, data management, governance and analysis using these technologies leading to the implementation of a modern data platform. A solid experience and understanding of considerations for planning, scaling, deployment and operations that are unique to Hadoop, NoSQL and other emerging modern data technologies is required. We are looking for candidates who have a broad set of skills across these areas and who can demonstrate an ability to identify and apply modern data and cloud technologies to architect and implement innovative and differentiated data solutions. Our architects are expected to work with our clients in defining the future state architectures of their data platforms enabling analytical intelligence and then play a lead role to implement a roadmap to reach that state.

                              -

                              - -


                              -

                              Qualifications

                              -

                              Basic Qualifications

                              -

                              -
                                -
                              • Bachelor's degree in Computer Science, Engineering, Technical Science or 8 years of IT/Programming experience

                              • -
                              • Minimum 10+ years of architecting, implementing and successfully operationalizing large scale data solutions in production environments using Hadoop and NoSQL ecosystem on premise or on Cloud (AWS, Google or Azure) using many of the relevant technologies such as Nifi, Spark, Kafka, HBase, Hive, Cassandra, EMR, Kinesis, BigQuery, DataProc, Azure Data Lake etc.

                              • -
                              • Minimum 10+ years of architecting data and building performant data models at scale for Hadoop/NoSQL ecosystem of data stores to support different business consumption patterns off a centralized data platform

                              • -
                              • Minimum 10+ years of Spark/Pyspark processing, including Java, Python, Scala, Talend; for data analysis of production Big Data applications

                              • -
                              • Minimum 10+ years of architecting and industrializing data lakes or real-time platforms for an enterprise enabling business applications and usage at scale

                              • -
                              • Minimum 10+ years designing and implementing relational data models working with RDBMS and understanding of the challenges in these environments

                              • -
                              -

                              -

                              Preferred Skills

                              -

                              -

                              Minimum 10+ years of experience implementing SQL on Hadoop solutions using tools like Presto, AtScale and others

                              -

                              Minimum 10+ years of experience implementing large scale BI/Visualization solutions on Big Data platforms

                              -

                              Minimum 10+ years of experience implementing large scale secure cloud data solutions using AWS data and analytics services e.g. S5, EMR, Redshift

                              -

                              Minimum 10+ years of experience implementing large scale secure cloud data solutions using Google data and analytics services e.g. BigQuery, DataProc

                              -

                              Minimum 10+ years of experience building data management (metadata, lineage, tracking etc.) and governance solutions for modern data platforms that use Hadoop and NoSQL on premise or on AWS, Google and Azure cloud

                              -

                              Minimum 10+ years of experience securing Hadoop/NoSQL based modern data platforms on-premise or on AWS, Google, Azure cloud

                              -

                              -
                              -

                              Locations

                              British Columbia - Vancouver,Ontario - Ottawa,Ontario - Toronto,Quebec - Montreal
                              -
                              -
                              -

                              Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

                              -
                              -

                              Equal Employment Opportunity Statement

                              -

                              All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                              -

                              Accenture is committed to providing veteran employment opportunities to our service men and women.

                              -

                              Requesting An Accommodation

                              -

                              Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                              -

                              If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                              -

                              Other Employment Statements

                              -

                              Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                              -

                              The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

                              ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00065531_en&title=Data+Engineering+Senior+Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2022-05-19T14:25:23.837Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/121086441-data-engineering-senior-manager-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=R00065531_en&title=Data+Engineering+Senior+Manager,expired,2022-04-17T22:46:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,New Posting, -44cfdc8c-9257-4635-a67e-35df6089f6e7,123650697,Deloitte,Omnia AI: Data Scientist - Co-op/Intern - Multiple Locations,on_site,"Ontario, Canada",2022-05-02T16:39:58.490Z,"

                              Date: Apr 6, 2022

                              -

                              Location: Multiple Locations, Canada

                              -

                              Company: Deloitte

                              -

                              Job Type: Co-op/Intern
                              Reference code: 102026
                              Primary Location: Multiple Locations, Canada
                              All Available Locations: Montreal; Calgary; Ottawa; Toronto; Vancouver

                              -

                              -

                              Our Purpose

                              -

                              -

                              At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

                              -

                              -

                              By living our Purpose, we will make an impact that matters.

                              -

                              -

                              We combine our AI and machine learning expertise with our business and industry acumen to execute on business problems and build tangible enterprise solutions, come check us out.

                              -

                              -

                              What will your typical day look like?

                              -

                              -

                              You will be constantly engaging stakeholders (client or otherwise) to identify client problems and develop solutions. Through workshops, interviews, and research, you will identify gaps in current business and technology capabilities and work with a multi-functional team to define a future vision, the ‘Art of the Possible’. You will identify and grow uses cases into Proof of Concepts, define governance and operating models, and develop roadmaps to help a client execute on initiatives – all around applications of AI, Advanced Analytics, and Data. Finally, you will guide clients through these efforts, socializing results and effecting change management.

                              -

                              -

                              About the team

                              -

                              -

                              Omnia AI’s Data Science team is multi-discipline team of over 50 people across offices in Vancouver, Calgary, Montreal, and Toronto. The lead in identifying use cases, designing and building models, and working with Omnia peers to deploy large-scale solutions in data science. Applications include domains of supply chain management, customer & marketing, in government, financial services, energy and resources, consumer, and healthcare industries.

                              -

                              -

                              Enough about us, let’s talk about you

                              -

                              -
                                -
                              • Enrolled in an undergraduate or graduate degree in mathematics, computer science, computer engineering or other related programs, returning to school following the co-op term
                              • -
                              • Able to look at objectives and data and apply the right data science technique given both
                              • -
                              • Can find value in data and how it helps companies achieve real and strategic value
                              • -
                              • Driven to solve the problem at hand and bring their best ever day through positivity, communication and great time and task management
                              • -
                              • Quick to learn new technologies on your own and aren’t intimidated by new technologies
                              • -
                              • Exposure/experience in data science toolkit Python, R, SQL, and others
                              • -
                              • Exposure to cloud technologies from Google, Amazon and Microsoft
                              • -
                              -

                              -

                              Ottawa Only: Employees in the Ottawa practice will be required to obtain “reliability” and/or “Secret” level federal security clearances as a condition of their employment. To be eligible for a ""Reliability"" status you must have resided in Canada for the last five (5) years and for ""Secret"" level, the last ten (10) years.

                              -

                              -

                              Our shared values

                              -

                              -

                              While our Purpose guides us and helps explain why we exist, our shared values describe the behaviour we expect from each other at the firm.

                              -

                              They provide common ground to unite us across cultures and geographies. They help us to earn the trust and respect of our stakeholders. We all commit to living by these shared values, to stay true to the principles they represent, and to honour the legacy from which they came. They are what sets us apart and makes us Deloitte.

                              -

                              -

                              Every day, we live our Purpose through the following five shared values:

                              -

                              -
                                -
                              • -Lead the way: Deloitte is not only leading the profession, but reinventing it for the future. We’re also committed to creating opportunity and leading the way to a more sustainable world.
                              • -
                              • -Serve with integrity: Deloitte has earned the trust of employees, clients, regulators, and the public for 175 years. Upholding that trust is our single most important responsibility.
                              • -
                              • -Take care of each other: We look out for one another and prioritize respect, fairness, development, and well-being.
                              • -
                              • -Foster inclusion: We are at our best when we foster an inclusive culture and embrace diversity in all forms. We know this attracts top talent, enables innovation, and helps us deliver well-rounded client solutions.
                              • -
                              • -Collaborate for measurable impact: We approach our work with a collaborative mind¬set, teaming across businesses, geographies, and skill sets to deliver tangible, measurable, attributable impact.
                              • -
                              -



                              The next step is yours

                              Sound like The One Firm. For You? Apply by May 15, 2022 @ 11:59pm ET.

                              -

                              -

                              To be considered, you must submit your cover letter, resume and unofficial transcript in ONE PDF document.

                              -

                              -

                              At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

                              -

                              -

                              We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations). We’d love to hear from you!

                              -

                              -

                              By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally. Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.

                              -


                              Job Segment: Database, Scientific, Intern, Engineer, Developer, Engineering, Technology, Entry Level

                              ",,https://careers.deloitte.ca/job/Omnia-AI-Data-Scientist-Co-opIntern-2023-Multiple-Locations/869574200/,aitalent@vectorinstitute.ai,https://careers.deloitte.ca/,,,2022-05-16T15:26:00.000Z,True,0,12,87,https://talenthub.vectorinstitute.ai/jobs/123650697-omnia-ai-data-scientist-co-op-intern-multiple-locations-at-deloitte,,expired,2022-05-02T16:39:00.000Z,admin,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Internship/Co-op,No Degree,New Posting, -05b0fc34-0460-47ba-9160-18f219ab716d,123740749,Scotiabank,Data Engineer - Canadian Business Banking,on_site,Canada : Ontario : Toronto,2022-05-03T05:06:07.561Z,"

                              -

                              -

                              -

                              -

                              Requisition ID: 147780

                              Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                              -

                              -


                              Data Engineer, Analytics and Business Planning – Canadian Business Banking

                              -


                              Purpose

                              -


                              In this role you will contribute to the overall success of Business Intelligence and MIS in Canadian Business Banking ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives while ensuring all activities conducted are in compliance with governing regulations, internal policies and procedures.

                              -

                              -

                              The Data Engineer role supports development, ongoing management and enhancement of Business Banking data infrastructure to enable development and management of Business Intelligence, Business analytics and Data Science vision for the Business Bank.

                              -

                              -

                              This role sits at the intersection of Business and Technology and provides the successful candidate the opportunity to make their mark on the operations of a large international bank. This position is well suited to someone who has a strong analytical background, who is looking to grow in thought leadership and who will use their knowledge and skill sets to have an impact on the organization.

                              -

                              -

                              Accountabilities:

                              -


                              • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

                              -


                              • Supports the development and management of database and Business Intelligence for Business Banking

                              -


                               Build data architecture for Business Banking
                               Develop new or enhance features across the platform: data pipelines, new datasets, efficient interfaces, and interactive visualizations using Business Intelligence tools such as Power BI and Tableau
                               Architect the generation of powerful datasets to bring successful analytics to market
                               Ensure data architecture encompasses all business lines and segments for Business Banking, 30+ source systems as well as all data dimensions including but not limited to client demographics, balance sheet & revenue information, operational & sales activity data
                               Learn the business strategy and generate ideas for insightful tools

                              -

                              -

                              • Ensure data integrity and timely availability of data for generation of accurate and timely Business Intelligence and analytics

                              -


                               Ensure data ingested and produced in the database has gone through rigorous data integrity checks including but not limited to comparison against financial reporting systems
                               Work with data users to ensure datasets produced are meet their analytic needs
                               Ensure data is available on a timely basis for generation of daily, weekly, monthly Business Intelligence as well as adhoc analytic needs
                               Enable quick speed to market for new data needs for the Business Bank

                              -

                              -

                              • Manage hardware environment and analytical playground for the Business Bank

                              -


                               Manage hardware environment and software requirement for the database
                               Ensure analytic environment supports high powered computing, multiple software applications, multi-tenancy, data storage, data backup and other infrastructure needs for the analytics team

                              -

                              -

                              • Bring cutting edge data solutions and next generation technology to Scotiabank

                              -


                               Keep abreast with latest database technology and data solutions
                               Actively bring new cutting edge solutions to Scotiabank

                              -

                              -

                              • Understands how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

                              -


                              • Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.

                              -


                              Educational Requirements:

                              -


                              • Bachelor’s degree in Computer Science or related field or relevant experience
                              • Master’s degree in Computer Science – preferred

                              -

                              -

                              Experience:

                              -


                              • 5+ years of data engineering and software experience in a Banking environment required
                              • Strong Communication skills for Internal stakeholder collaboration
                              • Experience with large data sets and working with Hadoop, NoSQL databases, and/or graph databases
                              • Experience with Python and/or Scala
                              • Hands-on development in a distributed data environment an asset
                              • Experience with RDBMs, Cassandra, HDFS, and/or graph databases an asset
                              • Detailed experience in the following: Unix, Mainframe, SQL, SAS, other programming tools
                              • Experience with Business Intelligence Tools: Power BI, Tableau
                              • Advanced Proficiency with Excel (charts/graphs)
                              • Previous banking experience is an asset

                              -

                              -

                              Skills:

                              -


                              • Excellent verbal and written communication skills are required
                              • Strong prioritizing and analytical skills
                              • High degree of knowledge of commercial products and profit drivers
                              • The role requires a high degree of collaboration across wide ranging groups: Global Banking & Markets (GBM); GBP; Finance, Wealth Management, Retail Small Business, and various Business Banking areas. Works with various partners using influence and negotiation skills to ensure objectives are met.
                              • Strong technical skills in Math, Computer Science or related fields
                              • Excellent design and delivery capabilities

                              -

                              -

                              Location(s): Canada : Ontario : Toronto

                              Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                              At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                              ",,https://jobs.scotiabank.com/job/Toronto-Data-Engineer-Canadian-Business-Banking-ON-M5H3Y2/558990917/,feed-importer@jobboard.io,,,,2022-05-16T15:26:00.000Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/123740749-data-engineer-canadian-business-banking-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Engineer-Canadian-Business-Banking-ON-M5H3Y2/558990917/,expired,2022-05-03T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -009859c6-2618-4ffb-ae05-0609354b8ef7,124172050,TD Bank Group,"Forecasting & data analyst, Analytics & Modelling",on_site,"Toronto, ON",2022-05-05T21:04:02.145Z,"
                              -

                              Company Overview

                              -
                              -

                              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                              -

                              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                              -
                              -

                              -

                              Department Overview

                              -

                              TD Insurance is part of TD Bank Group, one of Canada’s largest financial institutions. TD Insurance helps protect clients from the ‘accidents of life’ with a wide range of products including credit protection, life, health, travel, home and auto insurance. With more than three million clients, TD Insurance authorized products and services are available online, over the phone, and through a network of more than 1,000 TD Canada Trust branches.
                              In Canada, we have two lines of business, General Insurance and Life and Health. Our General Insurance business is one of the top home and auto insurance groups in Canada and the national leader in group insurance and affinity marketing. Our Life and Health business is the number one provider of critical illness insurance and direct life and health insurance in Canada.
                              At TD Insurance, we are committed to fostering an inclusive, accessible environment. With a Canada-wide workforce of over 4,000 employees and offices in Atlantic Canada, Quebec, Ontario and Alberta, our company is always growing and can help you to grow. TD Insurance offers a stable and dynamic work environment where talent is appreciated and professional development is taken seriously. More than just a job, we offer rewarding careers.

                              -

                              -

                              Job Description

                              -
                              -

                              The Acquisition, Marketing and Digital (“AMD”) team combines talent from BI analysts, data scientists, and actuaries to propose and develop solutions to support our partners’ strategies. AMD is responsible for the forecast, assessment and measurement of targeted initiatives by using, maintaining and developing various databases, tests, analyses and predictive models. Initiatives supporting our partners are designed to drive profitable growth, to have long-term potential and to be customer-focused.
                              In this role the analyst AMD will significantly contribute to the organization’s profitability by being involved in the following key activities:

                              -
                                -
                              • Forecast impact of marketing and acquisition activities on annual plan
                              • -
                              • Leverage large databases to create powerful measurement reports from projects and test and learn initiatives
                              • -
                              • Perform numerous analyses to support targeted profitable growth
                              • -
                              • Identify opportunities for simplification and automation in existing processes
                              • -
                              • Remain accountable for the success of acquisition, marketing and digital initiatives and drive results to achieve expected benefits and outcomes
                              • -
                              -
                              -

                              -

                              Requirements

                              -
                                -
                              • Bachelor’s or Master’s degree in BI, Statistics, Actuarial or related field;
                              • -
                              • Knowledge of an open source programming language
                              • -
                              • Has a strong database and data manipulation skills;
                              • -
                              • Effective written and oral communication skills in French and English;
                              • -
                              • Strong collaborator who engages colleagues, business partners and external stakeholders;
                              • -
                              • Superior interpersonal, communication and presentation skills with ability to present information or arguments in a convincing manner
                              • -
                              • Shows initiative and creativity in their work
                              • -
                              -

                              -

                              Hours

                              -
                              35
                              -

                              -

                              Inclusiveness

                              -

                              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                              -

                              -
                              ",,https://jobs.td.com/en-CA/jobs/15685463/forecasting-data-analyst-analytics-modelling-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-05-16T15:26:00.000Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/124172050-forecasting-data-analyst-analytics-modelling-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15685463/forecasting-data-analyst-analytics-modelling-toronto-ca/,expired,2022-05-05T21:04:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -592e5c0d-6dcd-457e-96a7-8b1c5c2da4a9,124172055,TD Bank Group,"Manager, Analytics & Insights",on_site,"Toronto, ON",2022-05-05T21:04:03.997Z,"
                              -

                              Company Overview

                              -
                              -

                              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                              -

                              Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                              -
                              -

                              -

                              Department Overview

                              -
                              -

                              The Marketing Technologies & Analytics (MT&A) function within Marketing is a central source of internal and external consumer insights and data analytics which supports both corporate and business unit strategies for TD Bank Financial Group Canada and TD Bank, America’s Most Convenient Bank.

                              -

                              The MT&A team mission is to be influential change agents and consumer advocates to help deliver the better bank and to drive shareholder return through optimizing the impact of marketing. We do this by delivering hindsight (what happened), insight (why), and foresight (future actions) on how to best reach consumers, who to target, what to say, and build intelligence on the market and competitive landscape. The group seeks to deliver excellence in analytics and insights to support short-term business success as well as long-term strategy of the bank.

                              -
                              -

                              -

                              Job Description

                              -
                              -

                              The successful candidate will act as a SME within the Marketing Campaign Delivery group to support the Visa Debit portfolio and personalization. Your success will be predicated on your ability to understand business objectives and challenges, forge strong partnerships, communicate effectively, design and execute best-in-class targeted programs, and continuously strive for increased efficiency.

                              -

                              Responsibilities

                              -
                                -
                              • Support the end-to-end delivery of targeted campaigns on Visa Debit portfolio
                              • -
                              • Provide thought leadership in the rollout personalization in EDB portfolio, providing insights for best practices to effectively scale and adopt the new capability across the EDB analytics team
                              • -
                              • Proactively provide analytical guidance to key stakeholders, based on deep understanding of the businesses, to understand and enhance marketing ROI
                              • -
                              • Maintain a culture of risk management and control, supported by effective processes and sound infrastructure
                              • -
                              • Ensure required quality control checks are in place – always adhere to QC processes as new programs are created
                              • -
                              • Manage project pipeline to ensure agreed upon timelines are met
                              • -
                              • Liaise with other functions within MT&A (modeling, data governance, data engineering etc.) ensuring all dependencies are in place to meet campaign requirements
                              • -
                              • Execute with excellence, and disseminate key learnings to the rest of team to raise the execution level
                              • -
                              • Act as a leader on the team; provide advisory support and feedback to Sr Managers and Executives
                              • -
                              -
                              -

                              -

                              Requirements

                              -
                              -
                                -
                              • Hands on experience with strategy, design, execution, quality control, and measurement of 1:1 targeted campaigns
                              • -
                              • Working knowledge of direct marketing principles (Predictive Models, Experiment Design, A/B testing, Sample Size calculations, Net Performance Measurements, etc.)
                              • -
                              -
                                -
                              • Knowledge of how campaigns are created by leveraging customer data from internal data warehouses through tools such as HCL Unica (Campaign / Interact), Python, SQL, and SAS
                              • -
                              • Technical and detail oriented
                              • -
                              • A project management mindset to help deliver on time to specifications
                              • -
                              • Pragmatic decision maker blending a mix of intellect and hands on experience
                              • -
                              • Business results driven mindset
                              • -
                              • Comfortable navigating matrix organization with multiple functional partners, demonstrating influencing, negotiation, and prioritization skills as appropriate
                              • +
                              • Business & Financial Acumen: Strategic investment expertise, with the ability to own the overall financial strategy around people, processes and technology, while ensuring strong delivery on Key Performance Indicators (KPIs).
                              • +
                              • Operational Leadership: Extensive experience in engaging with stakeholders to understand business opportunities and leading cross-functional teams to deliver innovative cloud and applied platform technologies.
                              • +
                              • Executive Reporting Expertise: Ability to serve as the primary communication link and provide executive updates on cross-TELUS AI programs and the overall health of these initiatives.
                              • +
                              • Process Automation Know-How: Strong analytics, digitization and process automation knowledge.
                              • +
                              • Bachelor or Master degree in Engineering, Data Science, Computer Science or related fields
                              -

                              Qualifications

                              +

                              +

                              Great-to-haves

                              +

                                -
                              • 7+ years of relevant experience in a direct marketing, consulting, analytics, or agency-side role in financial services/telecom (or other high-volume direct marketing industries)
                              • -
                              • Significant experience with HCL/IBM Unica Suite – Unica Interact & Campaign
                              • -
                              • Knowledge of Python, SQL, SAS; knowledge of databases and big data infrastructures; knowledge of vendors and file format requirements
                              • -
                              • Experience designing and executing campaigns, and improving successful direct marketing experiments (i.e. acquisition, customer management, loyalty, engagement)
                              • -
                              • Track record of delivering successful initiatives on time and on budget
                              • -
                              • Understanding of Privacy regulations relating to customer contact preferences (CASL, DNC, DNS etc.)
                              • -
                              • Familiarity with OMLC an asset
                              • -
                              • Degree in business, marketing, science, statistics, engineering, or other quantitative discipline
                              • +
                              • MBA (Master in Business Administration)
                              • +
                              • Master of Engineering, Artificial Intelligence, Computer Science or related fields
                              • +
                              • Deep understanding of cloud computing environments, and the associated analytics opportunities and challenges
                              • +
                              • Strong knowledge of industry pressures in the telecommunications industry
                              -

                              -

                              Additional Information

                              -
                              #LI-Hybrid
                              -

                              -

                              Hours

                              -
                              37.5
                              -

                              -

                              Inclusiveness

                              -

                              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                              -

                              -
                              ",,https://jobs.td.com/en-CA/jobs/15657600/manager-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-05-16T15:26:00.000Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/124172055-manager-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15657600/manager-analytics-insights-toronto-ca/,expired,2022-05-05T21:04:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -c45b284d-8ffc-4429-bd68-aafb725be038,125122640,Borealis AI,Machine Learning Software Engineer - Montreal,on_site,"Ontario, Canada",2022-05-12T21:46:02.179Z,"

                              What\'s the opportunity?

                              +
                              +
                              ",,https://careers.telus.com/job/Toronto-Manager%2C-Data-Science-ON/556961817/,feed-importer@jobboard.io,,,,2022-04-14T07:38:21.310Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/119733928-manager-data-science-at-telus,,expired,2022-04-10T07:33:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Manager,Masters Degree,New Posting, +422ccc67-5264-40f4-b829-e3b79fb09b6c,114036071,BenchSci,Senior Software Engineer - Data (Remote),on_site,"Toronto, Ontario /",2022-03-11T05:06:11.346Z,"
                              +
                              BenchSci’s vision is to bring novel medicine to patients 50% faster by 2025. We’re achieving it by empowering scientists with the world’s most advanced biomedical artificial intelligence. Backed by F-Prime, Gradient Ventures (Google’s AI fund), and Inovia Capital, our platform accelerates science at 15 top-20 pharmaceutical companies and over 4,300 leading research centers worldwide. We’re a remote-first company recognized for our impact and culture as a Deloitte Tech Fast 50TM, CIX Top 10 Growth, Great Place to Work®, and top-ranked organization on Glassdoor. Learn more at www.benchsci.com.
                              +

                              +
                              We are currently seeking a Senior Software Engineer to join our growing Data team! Reporting to the Engineering Manager, you will evolve our data models, operationalize production-grade data pipelines, and contribute to our document mining/information retrieval initiatives as we expand our ability to extract valuable insights from scientific publications and databases. On the BenchSci Data team, you will work with a group of talented and passionate engineers as you play a key role in shaping the future of scientific discovery and progress.
                              +
                              +

                              You will:

                              +
                                  +
                                • Scale data pipelines to allow our data to go from research to platform as fast as possible
                                • +
                                • Collaborate with ML and Data engineers to solve complex document mining challenges, enabling us to capture and model additional scientific experiments
                                • +
                                • Develop data access mechanisms for downstream applications consumption
                                • +
                                • Expand the types of biological reagents and experiments that we can successfully extract from various types of media
                                • +
                                • Manage sources that contain both semi-structured and unstructured data
                                • +
                                • Apply state-of-the-art data processing engines to rapidly process our data sets
                                • +
                                • Employ best practices for a broad platform of technologies within a cloud-based environment
                                • +
                                • Provide troubleshooting analysis and resolution in a timely manner
                                • +
                                • Work on projects involving some of the largest pharmaceutical companies in the world
                                • +
                                • Solve difficult problems and bring new perspectives to the team
                                • +
                                • Have opportunities to work both independently and in pair-programming settings
                                • +
                              +
                              +

                              You have:

                              +
                                  +
                                • 5+ years of experience working as a professional developer
                                • +
                                • Expertise with Python and SQL
                                • +
                                • Experience with cloud reference architectures and developing specialized stacks on cloud services
                                • +
                                • Experience with data processing engines (we use Beam)
                                • +
                                • A strong background in data structures and large-scale data manipulation
                                • +
                                • Familiarity with information retrieval theory and practical applications of it
                                • +
                                • Strong cross-team communication and collaboration skills
                                • +
                              +
                              +

                              Nice to haves, but not mandatory qualifications:

                              +
                                  +
                                • Work or academic experience in the life sciences
                                • +
                                • Experience with Kubernetes in production
                                • +
                                • Experience with Infrastructure-as-code
                                • +
                                • Experience with technical design and applying architectural patterns
                                • +
                                • Experience with statistical analysis of large datasets
                                • +
                              +
                              +

                              +

                              +
                              Benefits and Perks:
                              +
                              An engaging remote-first culture that hires the best talent from around the world
                              +
                              A competitive compensation package that includes BenchSci equity options
                              +
                              Comprehensive health and dental benefits with an emphasis on mental health
                              +
                              An annual Executive Health Assessment at Medcan for proactive health awareness
                              +
                              Three weeks of vacation plus an additional day for every completed year
                              +
                              A $2000 Annual Learning & Development budget
                              +
                              Generous parental leave benefits with a top-up plan or paid time off options
                              +
                              Additional time-off: 2 weeks for Winter Holiday, every other Friday in July and August, your birthday, and more!
                              +
                              A $1000 work from home allowance to make your home setup perfect for you
                              +
                              An Oculus Quest 2 to connect with your team members in Virtual Reality
                              +
                              An executive coach for managers to assist in leading high-performing teams
                              +
                              Complimentary Headspace account to support mental wellness and focus
                              +
                              Complimentary genome sequencing from 23andMe to better understand your health through your DNA
                              +

                              +
                              Our Culture:
                              +
                              We believe culture is critical to success and invest accordingly. We live and promote our FASTT values of focus, advancement with speed, tenacity, and transparency. We work hard to maintain an engaging, supportive environment where everyone can do their best work. To learn more, read our culture deck.
                              +

                              +
                              Diversity, Equity, and Inclusion:
                              +
                              We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. To learn more, read about our DEI initiatives.
                              +

                              +
                              Accessibility Accommodations:
                              +
                              BenchSci provides accessibility accommodations during the recruitment process. Should you require any accommodation, we will work with you to meet your needs.
                              +

                              +
                              #LI-Remote
                              +
                              ",,https://jobs.lever.co/benchsci/9da6acd3-bc56-445a-a34f-e3b0198eb315?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2022-04-13T16:18:40.194Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/114036071-senior-software-engineer-data-remote-at-benchsci,https://jobs.lever.co/benchsci/9da6acd3-bc56-445a-a34f-e3b0198eb315,expired,2022-03-11T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Health,Senior Level,Bachelors Degree,New Posting, +a6483abf-3d32-4d1c-96a5-5b4f13e059f7,113752279,Borealis AI,Machine Learning Software Engineer,on_site,"Ontario, Canada",2022-03-10T21:45:02.646Z,"
                              Available Locations
                              Vancouver

                              What\'s the opportunity?

                              -

                              We’re looking for an enthusiastic software developer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Machine Learning Software Engineer, you’ll be responsible for owning and delivering a project end to end – everything from literature review and data pre-processing to implementing machine learning algorithms and front-end development.

                              -

                              At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com.

                              +

                              We’re looking for an enthusiastic software developer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Machine Learning Software Engineer, you’ll be part of building, delivering, and improving our diverse set of ML products.

                              +

                              +

                              At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision.

                              Your responsibilities include:

                                -
                              • Building machine learning-based software solutions for solving important problems;
                              • -
                              • Prototyping solutions to evaluate the impact of selected algorithms on the target problem;
                              • -
                              • Collaborating with research and business teams to converge on the best solutions;
                              • -
                              • Optimizing algorithms and prototypical solutions for efficient implementation;
                              • -
                              • Extending prototypes into fully functional, polished solutions ready for internal and/or external use;
                              • -
                              • Supporting projects with thorough documentation of usage, design decisions and capabilities;
                              • -
                              • Extracting, transforming and loading massive datasets using distributed computing framework technologies (Hadoop, Spark, etc.);
                              • +
                              • Designing, building, and improving machine learning-based software solutions
                              • +
                              • Collaborating with research and business teams to converge on the best solutions
                              • +
                              • Optimizing algorithms and prototypical solutions for efficient implementation
                              • +
                              • Supporting projects with thorough documentation of usage, design decisions and capabilities

                              You\'re our ideal candidate if you:

                                -
                              • A bachelor’s degree in Computer Science, Software Engineering, or equivalent. A master’s or PhD in an AI sub-field is an asset;
                              • -
                              • 2+ years of software development experience (including co-op and internships) in a high-responsibility, minimal-supervision environment;
                              • -
                              • Experience with writing modular, robust, scalable software in one of the major languages such as C++, C#, Java, Python 3.x;
                              • -
                              • Familiarity with the Unix command line and bash scripting;
                              • -
                              • Experience with Deep Learning packages such as Tensorflow, Theano, Keras and PyTorch is an asset;
                              • -
                              • Exposure to distributed computing frameworks (e.g. Hadoop, Spark) as well as SQL, NoSQL and graph databases;
                              • -
                              • Demonstrated experience in two or more of the following areas: Traditional Machine Learning, Deep Learning, Natural Language Processing, Time-Series Analysis, Computer Vision, Reinforcement Learning;
                              • +
                              • A bachelor’s degree in Computer Science, Software Engineering, or equivalent. A degree in an AI sub-field is an asset
                              • +
                              • 1+ years of software development experience (including co-op and internships) in a high-responsibility, minimal-supervision environment
                              • +
                              • Experience with writing modular and robust software in one of the major languages. Experience in Python is an asset
                              • +
                              • Familiarity with the Unix command line and bash scripting
                              • +
                              • Familiarity with RDBMS and/or NoSQL graph databases
                              • Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management.

                              What\'s in it for you?

                                -
                              • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                              • -
                              • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                              • -
                              • Leaders who support your development through coaching and managing opportunities;
                              • -
                              • Ability to make a difference and lasting impact from a local-to-global scale.
                              • +
                              • Build cutting-edge software solutions that impact millions of users
                              • +
                              • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential
                              • +
                              • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable
                              • +
                              • Leaders who support your development through coaching and managing opportunities
                              • +
                              • Ability to make a difference and lasting impact from a local-to-global scale

                              About Borealis AI

                              Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                              Inclusion and Equal Opportunity Employment

                              -

                              RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                              ",,https://www.borealisai.com/en/careers/employment/6114236002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-05-16T21:51:08.848Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/125122640-machine-learning-software-engineer-montreal-at-borealis-ai,,expired,2022-05-12T21:46:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, -94eac357-bb5f-4a97-9c1d-133139d6af75,125122641,Borealis AI,Machine Learning Software Engineer - Toronto,on_site,"Ontario, Canada",2022-05-12T21:46:02.244Z,"

                              What\'s the opportunity?

                              +

                              RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                              ",,https://www.borealisai.com/en/careers/employment/5875943002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-04-13T16:08:27.737Z,False,0,8,25,https://talenthub.vectorinstitute.ai/jobs/113752279-machine-learning-software-engineer-at-borealis-ai,,expired,2022-03-10T21:45:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +01437e70-efed-498a-a06e-5c2e107de360,113752271,Borealis AI,Machine Learning Engineering Lead,on_site,"Ontario, Canada",2022-03-10T21:45:02.150Z,"

                              What\'s the opportunity?

                              -

                              We’re looking for an enthusiastic software developer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Machine Learning Software Engineer, you’ll be responsible for owning and delivering a project end to end – everything from literature review and data pre-processing to implementing machine learning algorithms and front-end development.

                              -

                              At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com.

                              +

                              We’re looking for an Engineering Manager to lead our Equities Returns Prediction team, being at the forefront of machine learning technology and working on extremely challenging problems.

                              +

                              +

                              As a Machine Learning Engineering Lead, you’ll be responsible for owning and delivering a project end to end – everything from data pre-processing to implementing machine learning training pipelines and deploying inference in a production environment. You’ll be directly managing a team of machine learning engineers, responsible for strategic planning, execution and delivery. You will provide your team with technical leadership and mentorship. You will work along other engineering leads across Borealis AI. As a people manager you will be responsible for growing your team and fostering career growth of the engineers.

                              Your responsibilities include:

                              -
                                -
                              • Building machine learning-based software solutions for solving important problems;
                              • -
                              • Prototyping solutions to evaluate the impact of selected algorithms on the target problem;
                              • -
                              • Collaborating with research and business teams to converge on the best solutions;
                              • -
                              • Optimizing algorithms and prototypical solutions for efficient implementation;
                              • -
                              • Extending prototypes into fully functional, polished solutions ready for internal and/or external use;
                              • -
                              • Supporting projects with thorough documentation of usage, design decisions and capabilities;
                              • -
                              • Extracting, transforming and loading massive datasets using distributed computing framework technologies (Hadoop, Spark, etc.);
                              • -
                              +
                                +
                              • Lead and directly manage a team of engineers, being responsible for planning execution and delivery of ML systems;
                              • +
                              • Establish high standards and share knowledge in performance, scalability, enterprise system architecture, and engineering best practices;
                              • +
                              • Establish and maintain collaboration with research and business teams to converge on the best solutions;
                              • +
                              • Extending prototypes into fully functional, polished solutions ready for internal and/or external use;
                              • +
                              • Grow and develop the team, helping each team member advance in their career.
                              • +

                              You\'re our ideal candidate if you:

                                -
                              • A bachelor’s degree in Computer Science, Software Engineering, or equivalent. A master’s or PhD in an AI sub-field is an asset;
                              • -
                              • 2+ years of software development experience (including co-op and internships) in a high-responsibility, minimal-supervision environment;
                              • -
                              • Experience with writing modular, robust, scalable software in one of the major languages such as C++, C#, Java, Python 3.x;
                              • -
                              • Familiarity with the Unix command line and bash scripting;
                              • -
                              • Experience with Deep Learning packages such as Tensorflow, Theano, Keras and PyTorch is an asset;
                              • -
                              • Exposure to distributed computing frameworks (e.g. Hadoop, Spark) as well as SQL, NoSQL and graph databases;
                              • -
                              • Demonstrated experience in two or more of the following areas: Traditional Machine Learning, Deep Learning, Natural Language Processing, Time-Series Analysis, Computer Vision, Reinforcement Learning;
                              • -
                              • Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management.
                              • +
                              • Have 7+ years of experience delivering software projects to production;
                              • +
                              • Have experience managing a team of engineers;
                              • +
                              • Have experience developing modular, robust, scalable software in a modern programming language;
                              • +
                              • Experience working with business, product and other technical teams;
                              • +
                              • Experience with scaling and performance of large systems;
                              • +
                              • Have led the full lifecycle of software product development including the successful deployment of products to production;
                              • +
                              • Experience taking a leading role in building complex software products, fostering career growth of software engineers, and establishing software engineering best practices within your team;
                              • +
                              • Have background in machine learning or a related field;
                              • +
                              • Experience with Capital Markets or any financial domain is a big plus.

                              What\'s in it for you?

                                -
                              • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                              • -
                              • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                              • -
                              • Leaders who support your development through coaching and managing opportunities;
                              • -
                              • Ability to make a difference and lasting impact from a local-to-global scale.
                              • +
                              • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                              • +
                              • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                              • +
                              • Leaders who support your development through coaching and managing opportunities;
                              • +
                              • Ability to make a difference and lasting impact from a local-to-global scale.

                              About Borealis AI

                              Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                              Inclusion and Equal Opportunity Employment

                              -

                              RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                              ",,https://www.borealisai.com/en/careers/employment/6114159002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-05-16T21:51:08.848Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/125122641-machine-learning-software-engineer-toronto-at-borealis-ai,,expired,2022-05-12T21:46:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,New Posting, -c056d642-3079-43c1-a89f-bc6f24706fb2,124609901,TD Bank Group,"Data Practice Lead, TD Insurance",on_site,"Toronto, ON",2022-05-09T21:05:51.464Z,"
                              +

                              RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                              ",,https://www.borealisai.com/en/careers/employment/5022745002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-04-13T16:09:41.141Z,False,0,0,13,https://talenthub.vectorinstitute.ai/jobs/113752271-machine-learning-engineering-lead-at-borealis-ai,,expired,2022-03-10T21:45:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, +83803599-34d4-4935-8165-9b79079e5c48,119896678,TD Bank Group,Data Engineer,on_site,"Toronto, ON",2022-04-11T21:02:08.326Z,"

                              Company Overview

                              Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                              @@ -328556,615 +336513,346 @@ c056d642-3079-43c1-a89f-bc6f24706fb2,124609901,TD Bank Group,"Data Practice Lead

                              Department Overview

                              -

                              Our vision to be the Better Bank is grounded in our purpose-driven and forward-focused strategy. Amidst a rapidly changing landscape, we know that technology plays a critical role in achieving this vision and delivering on our strategy. It also signals the need to accelerate investment in emerging capabilities to adapt to the changes happening around us and respond to customer needs more quickly. To accomplish this, we’re evolving our platforms, introducing key enterprise practices and re-imagining our customer journeys as part of the Next Evolution of Work (NEW).

                              -

                              NEW will empower colleagues to make decisions faster, work more efficiently and quickly identify and address customer and market trends to deliver innovative solutions at an unprecedented pace. NEW will enable us to move with purpose towards common goals, simplify how we work and elevate how we deliver customer value. By joining NEW, you’ll have the opportunity to be part of a new way of working while making an impact on the future of banking in ways you’ve never imagined.

                              +

                              Our vision to be the Better Bank is grounded in our purpose-driven and forward-focused strategy. Amidst a rapidly changing landscape, we know that technology plays a critical role in achieving this vision and delivering on our strategy. It also signals the need to accelerate investment in emerging capabilities to adapt to the changes happening around us and respond to customer needs more quickly. To accomplish this, we’re evolving our Platforms, introducing key enterprise Practices and re-imagining our customer Journeys as part of the Next Evolution of Work (NEW).

                              +

                              NEW will empower colleagues to make decisions faster, work more efficiently and quickly identify and address customer and market trends to deliver innovative solutions at an unprecedented pace. NEW will enable us to move with purpose towards common goals, simplify how we work and elevate how we deliver customer value. By joining NEW, you’ll have the opportunity to be part of a new way of working while making an impact on the future of banking in ways you’ve never imagined.

                              +

                              Introducing the Data as a Service (DaaS) Platform! This Platform will develop a centralized data strategy and roadmap to enable TD to shift to a data-driven organization and help us extract value from the data we create, collect and consume. The Platform will include applications responsible for the creation and management of data lakes, standards, analytical tools and governance. DaaS will consolidate over ~110 assets and ~200 applications, aggregate our customer data, and bring together data subject matter experts from Practices, such as Data, Software Engineering and Quality Engineering.

                              Job Description

                              -

                              Introducing the Data as a Service (DaaS) Platform! This Platform will develop a centralized data strategy and roadmap to enable TD to shift to a data-driven organization and help us extract value from the data we create, collect and consume. The Platform will include applications responsible for the creation and management of data lakes, standards, analytical tools and governance. DaaS will consolidate over ~110 assets and ~200 applications, aggregate our customer data, and bring together ~1,000 data subject matter experts from Practices, such as Data, Software Engineering and Quality Engineering.

                              -

                              The Data Practice brings together data management professionals from across businesses and provides them with standards, training, and professional development. As a Practice Lead, you will be responsible for coaching the team of practitioners on knowledge, skills and performance, building and evolving the practice’s capabilities, and advising practitioners on their work to ensure solutions are sound. You will report to the AVP, Data Practice Area Lead, and will work as part of a larger team supporting different business pillar and delivery streams.

                              -

                              The successful candidate will demonstrate the following key objectives:

                              +

                              Are you an experienced data professional, equipped with both conceptual and practical expertise in business information management? If so, this role offers a hands-on and high growth career opportunity to provide business technical leadership across a broad range of information management functions while supporting various areas of data and analytics.

                              +

                              If you enjoy working with colleagues and project teams then this specialist role is for you! You’ll work with business and technology partners to understand business data to ensure the analysis and requirements provided align with the overall design and data management standards.

                              +

                              As a Business Information Management Data Practitioner, you will:

                                -
                              • Identify and execute on the opportunities to accelerate data delivery and reach the next level of capability.
                              • -
                              • Build, maintain and evolve the culture and community of data practitioners.
                              • -
                              • Lead a team of highly skilled data practitioners without getting involved in day-to-day activities.
                              • -
                              • Provide team leadership, training, coaching, development, succession, recruitment and resource management, and ensures on-going performance feedback and assessments occur and development plans exist for each team member.
                              • -
                              • Hire the best talent, grow colleagues and manage retention.
                              • -
                              • Act as an expert or lead innovator and culture change agent for the practice amongst Business, Journey, and Platform leaders.
                              • +
                              • Bring conceptual and practical level expertise to provide solutions and knowledge on a diverse range of tasks
                              • +
                              • Leverage your strong programming skills to develop a diverse range of data solutions and analyses, demonstrating your in-depth experience with very large datasets and big data technologies
                              • +
                              • Engage in business and data requirements to develop complete business solutions
                              • +
                              • Design and implement complex business data information management frameworks
                              • +
                              • Engage in testing of the technical information systems to ensure data integrity and system functionality
                              • +
                              • Collaborate with business and technology partners to resolve data issues and ensure requirements delivery and compliance (e.g. with enterprise framework, methodologies, financial controls, and other requirements)
                              • +
                              • Participate fully as a member of a Scaled Agile pod, support a positive work environment where everyone thinks like a customer, promotes quality and drives innovation

                              Requirements

                              -

                              Job Requirement:

                              -

                              +

                              Potential Candidates interested in this role should have:

                                -
                              • Undergraduate or postgraduate degree preferred.

                              • -
                              • 7 years of data experience and experience coaching in distributed Data delivery environments.

                              • -
                              • Bilingual in English and French is an asset.

                              • +
                              • Undergraduate degree or technical certificate in a relevant field
                              • +
                              • Experience from a statistical, mathematical, computer science, financial background or equivalent
                              • +
                              • Experience in data programming languages, patterns and design principles
                              • +
                              • Expertise in using analytical software tools, data analysis methods and reporting techniques
                              • +
                              • Expertise in data storage and movement, including relational and big data
                              • +
                              • Strong analytical and problem-solving skills
                              • +
                              • In-depth knowledge of competitor and market trends
                              • +
                              • Ability to analyze, organize and prioritize work while meeting multiple deadlines
                              • +
                              • Ability to work cooperatively and independently as part of a Scaled Agile pod
                              • +
                              • Effective communication skills (oral and written) with the ability to build positive relationships across teams
                              • +
                              • Act as a brand champion for our business area / function and TD, both internally and externally

                              Additional Information

                              -
                              Bilingual in English and French is an asset.
                              +
                              +Data engineering:

                              +
                                +
                              • Degree in Computer Science
                              • +
                              • Preferred course work – Java, .net, RDBMS (Relational data base management system), Agile concepts, Cloud concepts
                              • +
                              +

                              #dataengineer
                              Locations:

                              +
                                +
                              • Toronto
                              • +
                              • Montreal
                              • +
                              • Markham
                              • +
                              • London
                              • +
                              • Ottawa
                              • +
                              • New Jersey, USA
                              • +
                              • Delaware, USA
                              • +
                              +
                              * L7- L10
                              +

                              Hours

                              -
                              35
                              +
                              37.5

                              Inclusiveness

                              At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                              -
                              ",,https://jobs.td.com/en-CA/jobs/14891927/data-practice-lead-td-insurance-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-05-16T21:11:08.205Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/124609901-data-practice-lead-td-insurance-at-td-bank-group,https://jobs.td.com/en-CA/jobs/14891927/data-practice-lead-td-insurance-toronto-ca/,expired,2022-05-09T21:05:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, -e91f032b-84e7-4465-be6d-b9204ec0cb36,128290468,RBC,"Fall 2022 Student Opportunities, Data Analyst, Technology & Operations",on_site,"Toronto, ON, Canada",2022-05-30T12:53:05.350Z,"
                              -

                              Come Work with Us!

                              At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                              Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                              -

                              Job Title

                              Fall 2022 Student Opportunities, Data Analyst, Technology & Operations

                              -

                              -

                              Job Description

                              -

                              What is the opportunity?
                              Are you interested in the opportunity to work as a Data Analyst Student? By applying to this job posting, you will be considered for multiple roles available across RBC Technology & Operations. Some exciting areas you may be able to contribute to are:

                              -
                                -
                              • Innovation & Technology
                              • -
                              • Global Technology Infrastructure
                              • -
                              • Enterprise Operations Payments
                              • -
                              -

                              -

                              What will you do?

                              -
                                -
                              • Analyze, design, deliver, and implement analytic development projects, with the use of RBC’s analytics tools
                              • -
                              • Ensure that project activities are accomplished within approved time frames, scope, and budgets
                              • -
                              • Confirm that projects adhere to development standards and guidelines
                              • -
                              • Apply data warehouse concepts and methodologies to various projects
                              • -
                              -

                              -

                              What do you need to succeed?

                              -

                              Must-have

                              -
                                -
                              • Currently enrolled at a Canadian post-secondary institution with a focus on computer science, mathematics, statistics, commerce, or business analysis
                              • -
                              • Leadership acumen and a passion to apply it in a dynamic business environment
                              • -
                              • Excellent interpersonal and highly developed communication skills (verbal and written)
                              • -
                              • Creative and analytical thinker who is self-driven and capable of working in a fast paced environment
                              • -
                              • Strong MS Office skills – Word, Outlook, Excel and PowerPoint
                              • -
                              • Experience or understanding of open-source software frameworks (Hadoop), data visualization tools (Tableau and Splunk), and databases (SQL and/or VBA)
                              • -
                              -

                              -

                              Nice-to-have

                              -
                                -
                              • Prior experience in data integration of disparate data sources
                              • -
                              • Knowledge of design, development, and implementation utilizing current analytics technologies and architecture, as well as data warehouse concepts and methodologies
                              • -
                              • Relational database concepts and design experience
                              • -
                              • Ability to learn and absorb new concepts (in business and in systems) quickly and apply new knowledge
                              • -
                              -

                              -

                              What’s in it for you?

                              -

                              We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                              -
                                -
                              • Network and build lasting relationships with students from diverse backgrounds from across Canada
                              • -
                              • Participate in fun events and gamification challenges to help build your career tool kit while enjoying a work-life balance
                              • -
                              • Leaders who support your development through coaching and learning opportunities
                              • -
                              • Work in a dynamic, collaborative, progressive and highly performing team
                              • -
                              • Ability to make a difference and lasting impact
                              • -
                              • Enjoy a comfortable work environment with the option to dress casually
                              • -
                              -

                              -

                              We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is June 5th, 2022. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

                              -

                              While there is no one date when our employees will return, we can confirm that the majority of Summer Work Integrated Learning | Co-op positions will start working remotely, however may transition to working at an RBC office as essential service restrictions are lifted.

                              -


                              RBC requires as a condition of employment that all successful candidates in the United States and Canada be fully vaccinated against COVID-19 prior to their start date, and may require proof of the same. Reasonable accommodation is available where required by law.

                              -

                              -

                              -

                              -

                              Job Summary

                              -

                              -

                              Address:

                              TORONTO, Ontario, Canada

                              City:

                              CAN-ON-TORONTO

                              Country:

                              Canada

                              Work hours/week:

                              37.5

                              Employment Type:

                              -

                              Platform:

                              -

                              Job Type:

                              Student/Coop (Fixed Term)

                              Pay Type:

                              Salaried

                              Posted Date:

                              2022-05-12-07:00

                              Application Deadline:

                              2022-06-05-07:00

                              -
                              -

                              Inclusion and Equal Opportunity Employment

                              -

                              -

                              At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                              ​​​​​​​
                              We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                              -
                              -
                              -

                              -

                              Join our Talent Community

                              Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                              Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                              -
                              -
                              ",,https://jobs.rbc.com/ca/en/job/R-0000011519/Fall-2022-Student-Opportunities-Data-Analyst-Technology-Operations,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2022-06-06T12:58:05.200Z,False,0,3,23,https://talenthub.vectorinstitute.ai/jobs/128290468-fall-2022-student-opportunities-data-analyst-technology-operations-at-rbc,,expired,2022-05-30T12:53:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -de8cac28-669f-4157-8b3a-579e0d8daeae,124172068,TD Bank Group,Data Engineer Intern/Co-op,on_site,"Toronto, ON",2022-05-05T21:04:07.773Z,"
                              -

                              Company Overview

                              -
                              -

                              All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                              -

                              Why TD?

                              -

                              TD’s Colleague Promise: A better you. A better us.

                              -

                              A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                              -
                              +
                              ",,https://jobs.td.com/en-CA/jobs/13893391/data-engineer-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-04-14T21:07:12.947Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/119896678-data-engineer-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13893391/data-engineer-toronto-ca/,expired,2022-04-11T21:02:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +8bde3ef8-5d49-4f58-bbde-f0cfa5dc34ce,119809553,Sun Life Financial,Business Data Analyst,on_site,"Ontario, Canada",2022-04-11T07:26:03.751Z,"
                              +

                              You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                              -

                              Department Overview

                              -
                              -

                              Co-op and Internship opportunities allow you to gain valuable work experience across several businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                              -

                              Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                              +

                              +

                              Job Description:

                              +

                              Role Summary

                              +

                              The Corporate Applications Services (CAS) /Finance Shared Services team is looking for a Business Data Analyst (SAP) role with adequate analytical skills and business systems to become a member of the Finance Shared Services team and be part of the SAP COE(Centre of Excellence), support organization going forward.

                              +

                              +

                              In this position, you will serve as the primary resource for SAP General Ledger, Group Reporting & Business Warehouse applications (including Master Data, Chart of Values & Reporting Hierarchies) pertaining to operation support and project initiatives reporting to the Manager Business System Analysis.

                              +

                              +

                              What will you do?

                                -
                              • Leadership talks with key Leaders from across the organization
                              • -
                              • Lunch and Learns on topics such as Innovation
                              • -
                              • Diversity and Inclusion and Personal Branding and so much more
                              • +
                              • Support Director/Manager Business Systems Analysis in day-to-day operations regarding reference data/master data maintenance and management

                              • +
                              • Working with the client to ensure day-to-day support and maintenance activities, which include problem solving

                              • +
                              • Performing finance related activities in multiple system landscapes, such as revaluation/translation and consolidation

                              • +
                              • Identification/tracking/resolution as well as new requests including the new projects and enhancements

                              • +
                              • Participate in business requirement gathering and analysis and contribute on the reference data requirements identification and configuration

                              • +
                              • Documentation and maintenance of operational guides and documentation

                              • +
                              • Documentation of user documents and training the users on applications supported by FSS

                              • +
                              • Working and coordinating effectively with our offshore partners to ensure quality and timely deliverables

                              • +
                              • Work with technical team, business systems analyst to resolve any issues/defects from the Finance users

                              -

                              -

                              Job Description

                              -
                              -

                              You will have the opportunity to work with one of our various teams within the Technology group, specifically working on TD’s big data platform (Data-as-a-service or DaaS). Job responsibilities for a Data Engineer Intern/Co-op may vary by area. They may include, but are not limited to the following:

                              +

                              What will you need to succeed?

                                -
                              • Apply Software Development Life Cycle (SDLC) and Project Management Methodology (PMLC) to complete specific development tasks for projects
                              • -
                              • Ensure defect-free programming by testing and debugging using available/appropriate tools and participate in reviewing peer coding
                              • -
                              • Design, develop and deploy system enhancements
                              • -
                              • Perform Unit and System Integration tests
                              • -
                              • Document system deployment plans for system implementation and code deployment
                              • -
                              • Participate in Proof-of-Concept (POC) on new technologies and document findings
                              • -
                              • Provide recommendations with full usability analysis
                              • -
                              • Perform root-cause analysis and resolution of application defects
                              • -
                              • Adhere to standard security coding practices to ensure application is free of coding vulnerabilities
                              • -
                              • Continuously enhance knowledge/expertise and keep current with leading-edge technologies trends/developments and develop expertise in TD services, applications, infrastructure, analytical tools and techniques that can contribute to effective solution development/delivery
                              • +
                              • Business, accounting and/or finance degree

                              • +
                              • Minimum of 2 years of experience in the financial services industry with extensive knowledge of financial analyses and reporting

                              • +
                              • Strong computer skills in Microsoft Office applications with proficiency in Excel and PowerPoint.

                              • +
                              • Strong written and oral communication skills and the ability to effectively communicate at most levels of the organization

                              • +
                              • Strong data analytics skills

                              • +
                              • Solid understanding of accounting systems and processes

                              • +
                              • Working experience of SAP general ledger and reporting applications (1-2 years), similar ERP systems will be considered, and SAP training will be provided

                              -

                              -

                              Requirements

                              -
                                -
                              • Currently enrolled in relevant technology programs, such as Computer Science, Engineering, Information Technology Management, Financial Analysis and Risk Management, Computing, etc.
                              • -
                              • Familiarity with at least one of the following technologies: Java, Scala, Python, Pyspark, or SQL
                              • -
                              • Practical experience/knowledge of data generation, data masking, data subsetting, data archiving, data virtualization, project management, management reporting, data modelling, and/or database development
                              • -
                              • Test Data Tools Knowledge (CA TDM or Delphix)
                              • -
                              • Familiarity with source code management such as GIT
                              • -
                              • Familiarity with Jira and Confluence
                              • -
                              • A thirst for constantly exploring emerging technology
                              • -
                              • -Skills that would be an asset, but not required
                                  -
                                • Familiarity with RDBMS, Big data
                                • -
                                • Familiarity with Data Warehousing, ETL, ELT concepts
                                • -
                                • Familiarity with Pandas, Numpy Scikit-learn, Matplotlb, Ruby, Linux
                                • -
                                • Interest or aptitude in Financial Systems and the Financial Industry
                                • -
                                • Familiarity with Cloud technology (Azure, AWS, GCP)
                                • +

                                  Unique Requirements

                                  +
                                    +
                                  • Occasional work outside of normal business hours as part of a global team

                                  • +
                                  • Occasional weekend work in support of project delivery and implementations

                                  - -

                              -

                              Additional Information

                              -
                              -

                              Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.

                              +

                              What’s in it for you?

                                -
                              • This position is a 4-month work term and will commence September 6th – December 23rd, 2022
                              • -
                              • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                              • -
                              • We welcome all applications; however, we will be targeting 3rd and 4th year students for this role. We will only contact qualified candidates chosen for an interview. Thank you for your interest
                              • -
                              • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                              • +
                              • Great Place to Work® Certified in Canada and the US.

                              • +
                              • Named 2021 “Best Places to Work” by Glassdoor

                              • +
                              • Canada Award for Excellence for Mental Health at Work - 2021

                              • +
                              • Flexible hybrid work model including in-country work-from-home if you prefer.

                              • +
                              • Pension, stock and savings programs to help build and enhance your future financial security

                              • +
                              • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                              • +
                              • A friendly, collaborative, and inclusive culture

                              • +
                              • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

                              -

                              #P&TEarlyTalent​​​​​​​
                              Assigned Line of Business Requirements
                              Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting

                              -

                              -

                              Hours

                              -
                              37.5
                              +

                              #LI-Remote

                              +

                                -

                                Start Date

                                -
                                – Fall
                                +

                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                -

                                Inclusiveness

                                -

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                +

                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                -
                                ",,https://jobs.td.com/en-CA/jobs/15676222/data-engineer-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-06-06T21:11:28.628Z,False,0,9,24,https://talenthub.vectorinstitute.ai/jobs/124172068-data-engineer-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15676222/data-engineer-intern-co-op-toronto-ca/,expired,2022-05-05T21:04:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,No Degree,New Posting, -c37314d5-ce65-4af2-a4ee-66d9dbbdda4f,127914623,TD Bank Group,Data Engineer Associate,on_site,"Toronto, ON",2022-05-28T21:06:16.783Z,"
                                -

                                Company Overview

                                -
                                -

                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                -

                                TD’s Colleague Promise: A better you. A better us.

                                -

                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                -
                                +

                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                -

                                Department Overview

                                -
                                -

                                Our Associate Programs offer new graduates the opportunity to work in one of TD’s many lines of business, and the chance to work on challenging projects and assignments, alongside experienced colleagues, and receive coaching and mentorship from business leaders and the Early Talent Experience team, to set you up for success in your career at TD.

                                -

                                As an Associate, you will also have access to programming, tools and a community of support for your pursuits and interests beyond the 9-5. This includes leadership talks, lunch and learns, self-development workshops, TD sponsored conferences, socials, team challenges, volunteer opportunities, career coaching and more. You will be part of a cohort along with other TD Associates from across Canada! If one of our over 20+ Associate programs is of interest to you, please read on and apply today.

                                -
                                +

                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                -

                                Job Description

                                -
                                -

                                You will have the opportunity to work with one of our various teams within the Technology group, specifically working on TD’s big data platform (Data-as-a-service or DaaS). Job responsibilities in the Data Engineer Associate Program may vary by area. They may include, but are not limited to the following:

                                +

                                Sun Life is committed to the health and safety of all those in our workplaces and our communities. In accordance with Sun Life’s Vaccination Policy (Canada):

                                  -
                                • Apply Software Development Life Cycle (SDLC) and Project Management Methodology (PMLC) to complete specific development tasks for projects
                                • -
                                • Ensure defect-free programming by testing and debugging using available/appropriate tools and participate in reviewing peer coding
                                • -
                                • Design, develop and deploy system enhancements
                                • -
                                • Perform Unit and System Integration tests
                                • -
                                • Document system deployment plans for system implementation and code deployment
                                • -
                                • Participate in Proof-of-Concept (POC) on new technologies and document findings
                                • -
                                • Provide recommendations with full usability analysis
                                • -
                                • Perform root-cause analysis and resolution of application defects
                                • -
                                • Adhere to standard security coding practices to ensure application is free of coding vulnerabilities
                                • -
                                • Continuously enhance knowledge/expertise and keep current with leading-edge technologies trends/developments and develop expertise in TD services, applications, infrastructure, analytical tools and techniques that can contribute to effective solution development/delivery
                                • +
                                • Employees permitted to work remotely are required to be fully vaccinated against COVID-19 in order to attend a Sun Life office, Financial Centre or offsite location where activity related to Sun Life business occurs.

                                • +
                                • Employees whose job duties require them to attend a Sun Life office, Financial Centre or offsite location for Sun Life business must be fully vaccinated against COVID-19 effective May 1st. Employees in these roles may participate in Sun Life’s Rapid Screening Program as an alternative until April 30th.

                                -

                                -

                                Requirements

                                -
                                  -
                                • Must be graduated, or graduating between Spring 2020 and Spring 2023, in Computer science, Engineering, Computing, or equivalent
                                • -
                                • Familiarity with at least one of the following technologies: Java, Scala, Python, Pyspark, or SQL
                                • -
                                • Practical experience/knowledge of data generation, data masking, data subsetting, data archiving, data virtualization, project management, management reporting, data modelling, and/or database development
                                • -
                                • Test Data Tools Knowledge (CA TDM or Delphix)
                                • -
                                • Familiarity with source code management such as GIT
                                • -
                                • Familiarity with Jira and Confluence
                                • -
                                • A thirst for constantly exploring emerging technology
                                • -
                                • Skills that would be an asset, but not required
                                    -
                                  • Familiarity with RDBMS, Big data
                                  • -
                                  • Familiarity with Data Warehousing, ETL, ELT concepts
                                  • -
                                  • Familiarity with Pandas, Numpy Scikit-learn, Matplotlb, Ruby, Linux
                                  • -
                                  • Interest or aptitude in Financial Systems and the Financial Industry
                                  • -
                                  • Familiarity with Cloud technology (Azure, AWS, GCP)
                                  • -
                                  -
                                • -
                                +

                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                -

                                Additional Information

                                -
                                +

                                Salary Range:

                                56,300/56 300 - 92,900/92 900

                                +

                                Job Category:

                                Business Analysis - Systems

                                +

                                Posting End Date:

                                17/04/2022
                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Business-Data-Analyst_JR00056872-1?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-04-18T07:31:02.952Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/119809553-business-data-analyst-at-sun-life-financial,,expired,2022-04-11T07:26:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +d2d561e1-c06f-4eb6-a446-b472856e9386,116632741,Shopify Inc.,"Staff (Lead) Data Scientist (Remote, Canada)",on_site,"Ontario, Canada",2022-03-25T07:33:16.801Z,"

                                About the role

                                +

                                Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.

                                +

                                Our Staff (i.e Lead) Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.

                                +

                                +

                                Qualifications

                                  +
                                • 7-10 years of commercial experience in a data science role solving high impact business problems
                                • +
                                • You have well built technical experience that inspires individual contributors creativity and innovation.
                                • +
                                • You have experience with product leadership and technical decision making.
                                • +
                                • You have been working closely with various levels of business stakeholders, from c-suite and down.
                                • +
                                • You can jump into the code on a deep level, but are also able to contribute to long term initiatives by mentoring your team.
                                • +
                                • Multiple work streams excites you, you are able to use ambiguity as an opportunity for high level thinking.
                                • +
                                • Experience creating data product strategies, data products, iterating after launch, and trying again.
                                • +
                                • Extensive experience using Python including a strong grasp of object oriented programming (OOP) fundamentals
                                • +
                                +

                                What would be great if you have:

                                  -
                                • Please note: This role will have varying start dates as applications are being reviewed on an ongoing basis
                                • -
                                • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                • -
                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                • -
                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                • +
                                • Previous experience using Spark.
                                • +
                                • Experience with statistical methods like regression, GLMs or experiment design and analysis.
                                • +
                                • Exposure to Tableau, QlikView, Mode, Matplotlib, or similar data visualization tools.
                                -

                                Assigned Line of Business Requirements
                                Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting

                                -
                                -

                                -

                                Hours

                                -
                                37.5
                                -

                                -

                                Start Date

                                -
                                – Fall, – Spring, – Summer, – Winter
                                -

                                -

                                Inclusiveness

                                -

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                -

                                -
                                ",,https://jobs.td.com/en-CA/jobs/15614748/data-engineer-associate-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-06-06T21:11:28.628Z,False,0,3,15,https://talenthub.vectorinstitute.ai/jobs/127914623-data-engineer-associate-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15614748/data-engineer-associate-toronto-ca/,expired,2022-05-28T21:06:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -49f9a3cd-e4d4-438d-a6b1-4c9b242a5b26,127628716,Scotiabank,Data Engineer,on_site,Canada : Ontario : Toronto,2022-05-27T05:06:10.396Z,"

                                -

                                -

                                -

                                -

                                Requisition ID: 147855

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                -

                                Purpose:

                                -

                                -

                                The Customer Insights, Data, and Analytics organization at Scotiabank is focused on building high-value solutions across the bank. Our organization consists of accomplished professionals who blend expertise in computer science, data, machine learning, and banking to deliver innovative projects that drive the business. A key part of success for the group is having scalable, fast, and continuously evolving data processes, and this is the responsibility of the Data Office Data Engineering team. As an integral part of the team, the Data Engineer will be responsible for all technical aspects of the data pipelines that power advanced and descriptive analytics work.

                                -

                                We have a dynamic work environment that will provide you with exposure to leaders in data & analytics, the opportunity to continuously learn, and support to be innovative.

                                -

                                -


                                KEY ACCOUNTABILITIES:

                                -


                                • Work with business teams across the organization (Canadian Banking, Intl. Banking, Treasury, GBM) to understand their data-driven goals
                                • Partner with advanced analytics teams to build powerful data assets and processes
                                • Be the subject matter expert on data driven processes, visualization workflows, and tools with which to analyze data
                                • Build automated data management and data quality capabilities into projects
                                • Build re-usable components to scale development across the organization, collaborating with other technical teams to streamline high-value data to the Analytics platforms
                                • Build re-usable managed datasets for consumption by both revenue generating analytics and operational corporate functions (e.g. finance, risk, etc.)
                                • Experiment & learn!

                                -

                                -


                                QUALIFICATIONS:

                                -


                                • Bachelor’s degree in Computer Science or Engineering, or related field or relevant experience
                                • Experience in finance is an asset
                                • Programming skills in Python, Scala, and /or Java. Experience with Spark is preferred
                                • Comfortable working in database environments. Experience with PostgreSQL, HDFS/Hive, MinIO an asset
                                • Exposure to Kubernetes, Airflow, Jenkins is an asset
                                • Familiarity with agile tooling to efficiently build as a team: git, Jira, Confluence, etc.
                                • Experience with visualization tools an asset: Power BI/Tableau
                                • Familiarity with data management capabilities (data registration, data quality, etc.) and ability to learn advanced data management toolsets
                                • High aptitude for diving in and picking up new technologies as required
                                • Eligible to work in Canada

                                -

                                -

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Data-Engineer-ON-M5C2V9/558298917/,feed-importer@jobboard.io,,,,2022-06-06T21:36:00.000Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/127628716-data-engineer-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Engineer-ON-M5C2V9/558298917/,expired,2022-05-27T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -45c13119-da05-477b-b1e2-158abe837d65,127457725,Accenture,Data Engineer Consultant,on_site,Ontario - Toronto,2022-05-25T22:46:13.675Z,"

                                Job Description

                                Data Engineer - Ingestion

                                -

                                -

                                Location: Toronto

                                -

                                -

                                Are you ready to step up and take your technology expertise to the next level?

                                -

                                -

                                There is never a typical day at Accenture, but that’s why we love it here! This is an extraordinary chance to begin a rewarding career at Accenture Technology. Immersed in a digitally-compassionate and innovation-led environment, here is where you can help top clients shift to the NEW using leading-edge technologies on the most ground-breaking projects imaginable. Immerse yourself in a supportive ecosystem that values your individuality and encourages you to innovate, ideate and disrupt. We recognize that it's the diversity of our people that makes us stronger, smarter and more effective as a team.

                                -

                                -

                                We are Accenture Cloud First

                                -


                                Accenture is a leader in cloud transformations working with AWS, Azure, Google, and private clouds. The formation of Accenture Cloud First, with a $3 billion investment over three years, demonstrates our commitment to deliver greater value to our clients when they need it most. Our Cloud First multi-service group of more than 70,000 cloud professionals delivers a full stack of integrated cloud capabilities across data, edge, integrated infrastructure and applications, deep ecosystem skills, culture of change along with a deep industry expertise to shape, move, build and operate our clients’ businesses in the cloud. To accelerate our clients’ transformation leveraging cloud, we combine world-class learning and talent development expertise; deep experience in cloud change management; and cloud-ready operating models with a commitment to responsible business by design — with security, data privacy, responsible use of artificial intelligence, sustainability and ethics and compliance built into the fundamental changes Accenture helps companies achieve. Our services cover the full spectrum of client needs, from strategy to service management, device-to-cloud networks, workplace solutions, and more.

                                Today, more than ever, companies need to operate and compete at an unprecedented speed and scale as industries are reshaping beneath them. This means innovating faster, creating new revenue streams, deriving more insights from data - and from the edge - and interacting differently with their customers, partners, and employees. Choose Accenture and make delivering this kind of innovative work part of your extraordinary career.

                                -

                                -

                                The Work

                                -


                                Accenture’s Cloud First Infrastructure Engineering professionals’ partner with our clients to advise, create, and deploy end-to-end infrastructure transformation solutions, enabling business innovation. These solutions are the backbone of driving IT-enabled differentiation. IE professionals are grounded in New-IT with an expertise in one or more of our core practice areas: Digital Workplace, Network Technology, Service Management, Hybrid Cloud, Public Cloud, and traditional Data Center.

                                - -


                                -

                                Qualifications

                                -

                                Who are we looking for?

                                -

                                -

                                3 year of experience in the following:

                                +
                                +
                                +
                                +

                                All your information will be kept confidential according to EEO guidelines.

                                +

                                If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.

                                +

                                #LI-REMOTE

                                +

                                Shopify is now permanently remote, and we’re working towards a future that is digital by design. That location you see above? Consider it merely an example of hundreds of potential locations Shopify is hiring. Learn more here: https://www.shopify.com/careers/work-anywhere

                                +

                                Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

                                +

                                At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.

                                How we hire

                                At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
                                Learn more about our hiring process +
                                +
                                +
                                +
                                ",,https://www.shopify.ca/careers/staff-lead-data-scientist-remote-canada_c820bb56-a6e6-42be-9125-94c4b0a9a479,feed-importer@jobboard.io,,,,2022-04-27T13:48:06.672Z,False,0,0,18,https://talenthub.vectorinstitute.ai/jobs/116632741-staff-lead-data-scientist-remote-canada-at-shopify-inc,,expired,2022-03-25T07:33:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Team Lead,Bachelors Degree,New Posting, +3adf9515-f019-4ec9-b02f-2e6f940c1275,117636643,BenchSci,Engineering Manager - Data,on_site,"Toronto, Ontario /",2022-04-01T05:06:09.890Z,"
                                +
                                BenchSci’s vision is to bring novel medicine to patients 50% faster by 2025. We’re achieving it by empowering scientists with the world’s most advanced biomedical artificial intelligence. Backed by F-Prime, Gradient Ventures (Google’s AI fund), and Inovia Capital, our platform accelerates science at 15 top-20 pharmaceutical companies and over 4,300 leading research centers worldwide. We’re a remote-first company recognized for our impact and culture as a Deloitte Tech Fast 50TM, CIX Top 10 Growth, Great Place to Work®, and top-ranked organization on Glassdoor. Learn more at www.benchsci.com.
                                +

                                +
                                We are currently seeking an Engineering Manager to join our rapidly growing Data Team. Reporting to the Director of Engineering, Data & DevOps, you will be responsible for planning, delivery, mentoring, and coaching data engineers. In this impactful role, you will work closely with key stakeholders across the organization and be instrumental in cross-team priorities and management. The most successful candidates for this role will be experienced software engineers who have transitioned to leading individual engineers and delivering complex data engineering solutions.
                                +

                                +

                                +
                                +
                                +

                                You Will:

                                +
                                    +
                                  • Own and drive execution of product and technical roadmaps
                                  • +
                                  • Take a leadership role in our recruiting, hiring, and onboarding processes
                                  • +
                                  • Provide mentorship and carry out regular 1:1 meetings with direct reports
                                  • +
                                  • Help improve the processes and patterns of data engineering at BenchSci
                                  • +
                                  • Engage with ML, Science, and Product teams to facilitate the delivery of complex projects with high quality in a timely manner
                                  • +
                                  • Analyze, plan, and develop requirements and standards in reference to upcoming company projects
                                  • +
                                  • Be a standard-bearer for culture who actively works towards building a cohesive team united by common engineering principles
                                  • +
                                  • Delegate tasks and manage all technical issues within your team
                                  • +
                                  • Work with your team to continuously drive improvements in quality and productivity
                                  • +
                                  • Be an organizational leader, defining and contributing to cross-team initiatives and vision
                                  • +
                                +
                                +
                                +

                                You Have:

                                +
                                    +
                                  • 5+ years of experience working as a professional developer
                                  • +
                                  • 2+ years of experience working as an engineering team manager
                                  • +
                                  • Experience in a leadership role providing technical direction to less senior staff
                                  • +
                                  • A proven track record of delivering complex development projects
                                  • +
                                  • Solid experience with relational databases and data modeling
                                  • +
                                  • Production experience with data processing tools such as Spark or Beam
                                  • +
                                  • Software engineering experience in Python
                                  • +
                                  • Well-versed in Agile practices
                                  • +
                                  • Strong leadership, engineering skills, and communication skills
                                  • +
                                  • The ability to understand and explain complex systems, and independently learn new technologies
                                  • +
                                +
                                +
                                +
                                Benefits and Perks:
                                +
                                An engaging remote-first culture that hires the best talent from around the world
                                +
                                A competitive compensation package that includes BenchSci equity options
                                +
                                Comprehensive health and dental benefits with an emphasis on mental health
                                +
                                An annual Executive Health Assessment at Medcan for proactive health awareness
                                +
                                Three weeks of vacation plus an additional day for every completed year
                                +
                                A $2000 Annual Learning & Development budget
                                +
                                Generous parental leave benefits with a top-up plan or paid time off options
                                +
                                Additional time-off: 2 weeks for Winter Holiday, every other Friday in July and August, your birthday, and more!
                                +
                                A $1000 work from home allowance to make your home setup perfect for you
                                +
                                An Oculus Quest 2 to connect with your team members in Virtual Reality
                                +
                                An executive coach for managers to assist in leading high-performing teams
                                +
                                Complimentary Headspace account to support mental wellness and focus
                                +
                                Complimentary genome sequencing from 23andMe to better understand your health through your DNA
                                +

                                +
                                Our Culture:
                                +
                                We believe culture is critical to success and invest accordingly. We live and promote our FASTT values of focus, advancement with speed, tenacity, and transparency. We work hard to maintain an engaging, supportive environment where everyone can do their best work. To learn more, read our culture deck.
                                +

                                +
                                Diversity, Equity, and Inclusion:
                                +
                                We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. To learn more, read about our DEI initiatives.
                                +

                                +
                                Accessibility Accommodations:
                                +
                                BenchSci provides accessibility accommodations during the recruitment process. Should you require any accommodation, we will work with you to meet your needs.
                                +

                                +
                                #LI-Remote
                                +
                                ",,https://jobs.lever.co/benchsci/9010028d-bacd-4977-accd-217c39777cf4?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2022-04-28T18:45:00.000Z,False,0,0,14,https://talenthub.vectorinstitute.ai/jobs/117636643-engineering-manager-data-at-benchsci,https://jobs.lever.co/benchsci/9010028d-bacd-4977-accd-217c39777cf4,expired,2022-04-01T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Health,Manager,Bachelors Degree,New Posting, +35b46559-32ab-4bc4-84b3-67688d030342,117334496,Shopify Inc.,"Senior Data Science Manager - Merchant Services, Retail Growth (Remote, Canada)",on_site,"Ontario, Canada",2022-03-31T07:33:08.099Z,"

                                About the role

                                +

                                Our mission in Merchant Services, Retail is to help retailers everywhere thrive in an e-commerce reality.

                                +

                                As e-commerce becomes more and more crucial to an overall retail strategy, retailers must adapt and Shopify is uniquely positioned to help. We have developed world class retail Point-of-Sale (POS) products that have the power to transform retailers’ physical stores and businesses from offline to omnichannel. We’re looking for someone to help us get these products in the hands of merchants everywhere. Together, we’ll make commerce work for local communities and make commerce better for everyone.

                                +

                                For the Senior Data Science Manager, Retail Growth role, we’re looking for someone who will:

                                  -
                                • Azure Data Factory
                                • -
                                • PySpark
                                • -
                                • Azure SQL
                                • -
                                • Azure Data Lake
                                • +
                                • Help drive customer acquisition, growth and activation to help us help merchants around the world
                                • +
                                • Use data to gain insights and drive decisions in growing a customer base

                                • +
                                • Lead a large team across multiple time zones and work cohesively to achieve shared goals

                                • +
                                • Partner closely with product growth leaders in Product, Engineering, UX and marketing to define growth strategy for Shopify retail

                                • +
                                • Identify, implement and measure new growth levers and product features through data analysis, product ideation, and experimentation to optimize product experiences

                                • +
                                • Lead a culture of understanding and experimentation defined by quantitative acumen, deep user empathy and rigorous A/B testing

                                • +
                                • Define and drive implementation of best practices in Data Engineering, Product Analytics and Machine Learning in alignment with business goals

                                • +
                                • Leverage deep industry knowledge to create broad awareness of the possibilities using data

                                -

                                Preferred Skills:

                                -

                                Certification: Azure Data Certification

                                -

                                Python

                                -
                                -
                                -
                                -
                                -

                                Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

                                -
                                -

                                Equal Employment Opportunity Statement

                                -

                                All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                -

                                Accenture is committed to providing veteran employment opportunities to our service men and women.

                                -

                                Requesting An Accommodation

                                -

                                Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                -

                                If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                                -

                                Other Employment Statements

                                -

                                Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                                -

                                The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

                                ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00091595_en&title=Data+Engineer+Consultant,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2022-06-06T21:36:00.000Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/127457725-data-engineer-consultant-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=R00091595_en&title=Data+Engineer+Consultant,expired,2022-05-25T22:46:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, -b47d6bfa-8199-41eb-8530-e6accc541808,126310800,Scotiabank,"Associate Data Engineer, Canadian Business Banking",on_site,Canada : Ontario : Toronto,2022-05-20T05:06:07.261Z,"

                                -

                                -

                                -

                                -

                                Requisition ID: 152179

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                -

                                Associate Data Engineer, Canadian Business Banking

                                +

                                Qualifications

                                You will need to have:

                                +
                                  +
                                • 5+ years managing highly-technical teams of Data Scientists, Engineers and Analysts

                                • +
                                • Strong track record of driving successful product growth strategy through a combination of data analysis, product ideation, and experimentation

                                • +
                                • Gifted communicator with strong focus on communicating in clear and compelling ways to audiences of many non-technical backgrounds

                                • +
                                • Applied experience working with large datasets both as an individual contributor and a leader

                                • +
                                • Familiarity with design and analysis of controlled experiments (A/B testing)

                                • +
                                • Hands-on experience with data querying languages (e.g. SQL)

                                • +
                                • Experience leading managers and senior individual contributors

                                • +
                                • Deep understanding of the Python programming language (strongly preferred)

                                • +
                                +

                                This is a world class product that has demonstrated product-market fit and a tremendous amount of potential to grow. With this role, you’ll have the opportunity to make a massive impact in a short amount of time and be a part of an incredible Shopify success story.

                                +
                                +
                                +
                                +

                                All your information will be kept confidential according to EEO guidelines.

                                +

                                If you’re interested in helping us shape the future of commerce at Shopify, click the “Apply Now” button to submit your application. Please submit a resume and cover letter with your application. Make sure to tell us how you think you can make an impact at Shopify, and what drew you to the role.

                                +

                                #LI-REMOTE

                                -

                                Purpose

                                -


                                This role contributes to the overall success of Business Intelligence and MIS in Canadian Business Banking ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives while ensuring all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                -



                                The Associate Data Engineer supports development, ongoing management and enhancement of Business Banking data infrastructure to enable development and management of Business Intelligence, Business analytics and Data Science vision for the Business Bank.

                                +

                                Shopify is now permanently remote, and we’re working towards a future that is digital by design. That location you see above? Consider it merely an example of hundreds of potential locations Shopify is hiring. Learn more here: https://www.shopify.com/careers/work-anywhere

                                +

                                Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

                                +

                                At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.

                                How we hire

                                At Shopify, we put a lot of care and time into who we hire. We believe that in order to build the best products, we need to build high impact teams. Our recruitment process centres around what we call the Life Story interview, a conversational-style interview where we get to learn more about you.
                                Learn more about our hiring process +
                                +
                                +
                                +
                                ",,https://www.shopify.ca/careers/senior-data-science-manager-merchant-services-retail-growth-remote-canada_245aae24-4edd-44ba-a294-306aa4f1e0ef,feed-importer@jobboard.io,,,,2022-04-30T13:13:01.217Z,False,0,1,19,https://talenthub.vectorinstitute.ai/jobs/117334496-senior-data-science-manager-merchant-services-retail-growth-remote-canada-at-shopify-inc,,expired,2022-03-31T07:33:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Manager,Bachelors Degree,New Posting, +83c2aeb3-20f2-4a19-9b93-e106f34cfe6e,120269992,TELUS,Senior Data Scientist,on_site,"Ontario, Canada",2022-04-14T07:33:18.753Z,"
                                +
                                +

                                Description

                                +

                                -

                                Accountabilities:

                                -


                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                • Supports the development and management of database and Business Intelligence for Business Banking
                                • Build data architecture for Business Banking
                                • Develop new or enhance features across the platform: data pipelines, new datasets, efficient interfaces, and interactive visualizations using Business Intelligence tools such as Power BI and Tableau
                                • Architect the generation of powerful datasets to bring successful analytics to market
                                • Ensure data architecture encompasses all business lines and segments for Business Banking, 30+ source systems as well as all data dimensions including but not limited to client demographics, balance sheet & revenue information, operational & sales activity data
                                • Learn the business strategy and generate ideas for insightful tools
                                • Ensure data integrity and timely availability of data for generation of accurate and timely Business Intelligence and analytics
                                • Ensure data ingested and produced in the database has gone through rigorous data integrity checks including but not limited to comparison against financial reporting systems
                                • Work with data users to ensure datasets produced meet their analytic needs
                                • Ensure data is available on a timely basis for generation of daily, weekly, monthly Business Intelligence as well as ad hoc analytic needs
                                • Enable quick speed to market for new data needs for the Business Bank·
                                • Ensure analytic environment supports high powered computing, multiple software applications, multi-tenancy, data storage, data backup and other infrastructure needs for the analytics team·
                                • Actively bring cutting edge data solutions and next generation technology to Scotiabank
                                • Keep abreast with latest database technology and data solutions
                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                • Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
                                • Champions a high-performance environment and contributes to an inclusive work environment.

                                +

                                Join our team

                                +


                                The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high quality data, and a data-product oriented culture while always keeping an eye on the horizon, preparing for the next big thing. We are entrepreneurial, and live by our AI Manifesto of failing fast and being outcome vs technology driven, creating value for our customers, team members, communities, and the environment.

                                -

                                Education / Experience / Other Information:

                                -

                                Education
                                • Bachelor’s degree in Computer Science or related field or relevant experience
                                • Master’s degree in Computer Science – preferred

                                +

                                The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web-visualizations, we do it all! Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

                                +


                                Here’s the impact you’ll make and what we’ll accomplish together

                                -

                                Skills/Work Experience:
                                • 2+ years of data engineering and software experience
                                • Experience with Python and/or Scala required
                                • Detailed experience in the following: Unix, Mainframe, SQL, SAS, other programming tools required
                                • Experience with large data sets and working with Hadoop, NoSQL databases, Cassandra, HDFS, and/or graph databases strongly preferred
                                • Hands-on development in a distributed data environment an asset
                                • Experience with Business Intelligence Tools: Power BI, Tableau
                                • Excellent verbal and written communication skills are required
                                • Strong prioritizing and analytical skills
                                • The role requires a high degree of collaboration across wide ranging groups: Global Banking & Markets (GBM); GBP; Finance, Wealth Management, Retail Small Business, and various Business Banking areas.
                                • Strong technical skills in Math, Computer Science or related fields
                                • Excellent design and delivery capabilities
                                • Work in a standard office-based environment; non-standard hours are a common occurrence.

                                +

                                You’ll be a part of the team and journey that will transform the way we do business across various domains. You’ll collaborate with teams across the company, seeking out various data sources to help identify new business opportunities while championing data driven decision making and the accelerated adoption of AI. As a Data Scientist on the team, you will combine your expert knowledge of data science with your strong software development skills to automate and facilitate data exploration, analytics, machine learning model development, training and deployment and will leverage your experience in building reusable algorithms, functions and libraries.

                                +
                                +
                                +
                                +

                                Here\'s How

                                +

                                -

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Associate-Data-Engineer%2C-Canadian-Business-Banking-ON-M5H3Y2/559665617/,feed-importer@jobboard.io,,,,2022-06-09T16:20:00.000Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/126310800-associate-data-engineer-canadian-business-banking-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Associate-Data-Engineer%2C-Canadian-Business-Banking-ON-M5H3Y2/559665617/,expired,2022-05-20T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -5430c49f-6703-4679-af6f-825e60aedacc,124960853,Thomson Reuters,"Senior Software Engineer, Python, Machine Learning",on_site,"Toronto, ON, Canada",2022-05-11T18:44:27.170Z,"

                                Senior Software Engineer, Python, Machine Learning

                                -

                                Primary Location: Eagan, MN, US or Toronto, ON, Canada.

                                -

                                **Note: candidates can choose which location they'd prefer.

                                - -

                                Do you love creating innovative solutions for customers? We are seeking a passionate Senior Software Engineer proficient in Python with practical experience delivering machine learning (ML) models in cloud environments – such as Amazon Web Services. As a member of Thomson Reuters Labs in MSP/Toronto, you will have a direct impact on our company by helping to create new and innovative capabilities that will delight our customers.

                                -

                                -

                                What do we do? In Thomson Reuters Labs, we experiment, build and deliver. We work with big data sets to discover what new products, services, or insights we can create for our customers. We then work across the organization to build and deliver these capabilities. Thomson Reuters is perhaps most well-known for the Reuters News agency. The company is also one of the top sources of information for legal professionals, corporations, and tax professionals. We have over 60,000 TBs of legal, regulatory, news, and tax data.

                                -

                                -

                                Thomson Reuters Labs works across all business segments of Thomson Reuters. You will be part of a diverse, agile, and interdisciplinary innovation team located in Toronto – collaborating with colleagues located in the United States of America, Switzerland, the United Kingdom, and India. You will work closely with other engineers, designers, data scientists, and stakeholders to build solutions that use data analysis and AI, like machine learning (ML).

                                -

                                The science and engineering of AI is rapidly evolving. We are looking for an adaptable learner who can think in code and likes to learn and develop new skills as they are needed; someone comfortable with jumping into new problems spaces; who is comfortable with ambiguity and pivoting when needed.

                                -

                                Is this you? Come join us!

                                -

                                -

                                About the Role

                                -

                                In this opportunity as a Senior Software Engineer, you will:

                                -
                                  -
                                • -Develop and Deliver: Applying modern software development practices, you will be involved in the entire software development lifecycle, building, testing, and delivering high-quality solutions.
                                • -
                                • -Solve Complex Problems: You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms. You will develop high performing scalable systems in the context of large online delivery environments.
                                • -
                                • -Be a Team Player: Working in a collaborative team-oriented environment, you will share information, value diverse ideas, partner with cross-functional and remote teams.
                                • -
                                • -Be an Agile Person: With a strong sense of urgency and a desire to work in a fast-paced, dynamic environment, you will deliver solutions against strict timelines.
                                • -
                                • -Be Innovative: You are empowered to try new approaches and learn new technologies. You will contribute innovative ideas, create solutions, and be accountable for end-to-end deliveries.
                                • -
                                • -Be an Effective Communicator: Through dynamic engagement and communication with cross-functional partners and team members, you will effectively articulate ideas and collaborate on technical developments.
                                • -
                                -

                                About You

                                -

                                You're a fit for the role of Senior Software Engineer if you:

                                -
                                  -
                                • Can “think in code” and have a deep understanding of the Python software development stacks and ecosystems
                                • -
                                • Have practical, hands-on, experience deploying ML models to cloud environments like AWS or Azure (or a similar cloud platform).
                                • -
                                • Are proficient in system analysis and design
                                • -
                                • Have experience working in an agile environment
                                • -
                                • Are curious and comfortable with rapid change and learning new things
                                • -
                                • Have a desire to positively impact the world around them and someone who isn't afraid to dive right in, is comfortable working at a fast pace, embraces change, and can creatively pivot when needed
                                • -
                                • Have a desire to work with Machine Learning and Natural Language Processing (NLP)
                                • -
                                • Have a Bachelor of Science degree or equivalent in computer science or related field with 4+ years of professional software development experience
                                • -
                                -

                                What's in it For You

                                -

                                At Thomson Reuters, our people are our greatest assets. Here are some of the benefits we offer for your personal and professional growth:

                                  -
                                • -Learning & Development: On-the-job coaching & learning, tuition reimbursement, exposure to cutting-edge technology
                                  • Our scientists and engineers explore big data sets to discover new capabilities and insights.
                                  -
                                • -
                                • -Benefits: Flexible work arrangements, comprehensive health coverage that's effective day one
                                • -
                                • -Perks: Social events & activities, employee discount programs through corporate perks
                                • +
                                • Lead the iterative development, validation, and deployment of AI/ML models
                                • +
                                • Collaborate on end-to-end automation efforts required to bring models to production
                                • +
                                • Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
                                • +
                                • Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
                                • +
                                • Influence how we approach business challenges and opportunities by driving the adoption of a data driven mindset
                                • +
                                • Develop re-usable code aimed at delivering on future goals faster and more reliably
                                • +
                                • Support and evolve the Advanced Analytics and Data Science roadmap by leveraging industry research, best practices and emerging tools/technology
                                • +
                                • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
                                -

                                Want to hear from our Technologists on how it is like #WorkingatTR? Check it out- Video 1, Video 2

                                -

                                -

                                #LI-LP2

                                ",Jeffrey.Schadoff@thomsonreuters.com,,aitalent@vectorinstitute.ai,https://www.thomsonreuters.com/en/careers.html,,,2022-06-10T18:44:29.289Z,False,2,0,16,https://talenthub.vectorinstitute.ai/jobs/124960853-senior-software-engineer-python-machine-learning-at-thomson-reuters,,expired,2022-05-11T18:44:00.000Z,admin,Enterprise (500+),Vector Quick Apply,Technology (Information and Media),Mid-Senior Level,Bachelors Degree,New Posting, -c571128c-c17e-4efd-a9c9-c3a174708639,124989633,Accenture,Data Science Senior Manager,on_site,"Ontario - Ottawa,Ontario - Toronto,Quebec - Montreal",2022-05-11T22:46:02.824Z,"

                                Job Description

                                -

                                We Are
                                The people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. A great day for us? Solving big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything—spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want to join our crew of sharp analytical minds? Visit us to find out more about Accenture Applied Intelligence.

                                -

                                -

                                You Are
                                An expert at solving real-world challenges with data, analytics, AI and creativity. Yes, creativity! You know the theory and you have hands-on expertise from studies, experience and/or self-taught projects. As a senior manager working at Accenture you will work on a team with diverse clients and industries delivering solutions to help clients turn data into actionable insights that drive tangible outcomes, improve performance and help clients lead the market.

                                -

                                -

                                What You’ll Do
                                • Collaborate with prospective clients to solve large & complex business problems with data, analytics & AI
                                • Shape narrative for sales origination and educate account teams on data, analytics, AI applicability to their industry/clients
                                • Lead multiple teams and engagements to engineer & deliver value for clients
                                • Play an active role building a practice including capability development, recruitment, and mentorship
                                • Help drive the innovation agenda, including thought leadership publication
                                • Stay abreast of technologies, academic research & hands-on techniques for cloud, data, analytics & AI

                                - -


                                -

                                Qualifications

                                -

                                -

                                What We’re Looking For
                                • Extensive experience engaging with client senior leadership on complex business problems
                                • Expertise developing solution offerings and communicating findings to executive audiences
                                • Well versed with managing data science teams and engagements, and providing technical leadership
                                • Extensive experience embracing challenges with cloud, data, analytics & AI lifecycle in enterprise setting
                                • 8+ years of consulting experience or relevant industry experience with proven track record of making significant client impact and value creation

                                +
                                +
                                +
                                +

                                Qualifications

                                +

                                -

                                Bonus Point If
                                • Graduate degree in data science or related disciplines: e.g. Mathematics, Statistics, Computer Science, Economics, Engineering and Physics
                                • Ability to build, manage and foster a team-oriented environment, working creatively and analytically in a problem-solving environment
                                • Certifications from a cloud service provider in Cloud Architecture, Engineering or DevOps
                                • A blend of data science capability, industry and consulting expertise
                                • High initiative and a desire/ability to persist through obstacles/ambiguity
                                • Excellent written and oral communication skills with ability to clearly communicate findings, concepts and ideas

                                -
                                -

                                Locations

                                Ontario - Ottawa,Ontario - Toronto,Quebec - Montreal
                                -
                                -
                                -

                                Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

                                -
                                -

                                Equal Employment Opportunity Statement

                                -

                                All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                -

                                Accenture is committed to providing veteran employment opportunities to our service men and women.

                                -

                                Requesting An Accommodation

                                -

                                Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                -

                                If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                                -

                                Other Employment Statements

                                -

                                Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                                -

                                The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

                                ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00085703_en&title=Data+Science+Senior+Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2022-06-11T17:53:19.518Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/124989633-data-science-senior-manager-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=R00085703_en&title=Data+Science+Senior+Manager,expired,2022-05-11T22:46:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Masters Degree,New Posting, -64dc480a-d42a-4cf5-90b3-04df88e17344,125022652,Vector Institute,"Applied Machine Learning Scientist AI Engineering & Technology · Toronto, Ontario",on_site,"Ontario, Canada",2022-05-12T07:06:03.777Z,"
                                -

                                POSITION SUMMARY

                                -

                                -

                                As an Applied ML Scientist, you will provide technical leadership and contribute to applied research and its applications to solve real-world problems using machine learning. You will lead application of breakthrough machine learning research to solve real world problems, provide guidance and have an opportunity to work with the best and brightest scientists and machine learning experts. You will collaborate with some of the leading machine learning researchers, data scientists, and specialists to build machine learning and open-source software.

                                -

                                -

                                Publishing papers on applied research is a part of this role, but the focus is on the impact of the applications, not on the quantity or quality of publications. We are seeking a Scientist with research experience in deep learning, machine learning, and graph-based methods.

                                -

                                -

                                KEY RESPONSIBILITIES

                                -

                                +

                                +

                                You\'re the missing piece of the puzzle

                                +

                                  -
                                • - Research and implement state of the art techniques to solve real world problems; -
                                • -
                                • - Work in collaboration with researchers, Applied ML Specialists, Vector’s professional staff, and collaboration partners to build demos, minimum viable products (MVP), and prototypes; -
                                • -
                                • - Provide scientific advice regarding overall machine learning application strategies and roadmaps;  -
                                • -
                                • - Provide scientific oversight for Vector-led or co-led efforts to prepare specific datasets for machine learning research; -
                                • -
                                • - Serve as the lead Vector scientific contributor for health, industry, and responsible AI projects including contributing to or leading the authoring of peer-reviewed research papers; -
                                • -
                                • - Contribute to training sessions and other initiatives for Vector staff and stakeholders that help increase AI knowledge and the capacity of the system to recognize and act on opportunities to apply machine learning; -
                                • -
                                • - Serve as an expert and facilitate identification of experts among the Vector Institute research community for external stakeholders (e.g., health and other sectors) to advise on machine learning research trends and applications; and, -
                                • -
                                • - Other duties as assigned. -
                                • +
                                • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
                                • +
                                • You are sought out for your skills in Machine Learning and AI, including classification, clustering, time series analysis, NLP, optimization, and deep learning and bring 3 or more years of hands-on work and practical business experience in the above areas
                                • +
                                • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences
                                • +
                                • You have solid development experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras and have applied these skills towards solving actual business matters
                                • +
                                • You have experience architecting and deploying end to end AI solutions in the cloud with reliability, scalability, security, and privacy considerations
                                • +
                                • You are comfortable in and with a Jupyter environment and infrastructure, and familiar with GitHub
                                • +
                                • You possess advanced knowledge in SQL and distributed computing
                                • +
                                • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
                                • +
                                • You are well versed in software and AI development lifecycles, including ML Ops
                                • +
                                • You are agile and have a bias for action, removing roadblocks to get results fast
                                -

                                -

                                PROFILE OF THE IDEAL CANDIDATE

                                -

                                +

                                +

                                Great-to-haves

                                +

                                  -
                                • - PhD degree in computer science or computer engineering with a research focus on machine learning domains like foundation models, Deep Learning, computer vision, recommendation systems, and reinforcement learning -
                                • -
                                • - Demonstrated experience applying machine learning research to novel problems and data sets; experience in applied research -
                                • -
                                • - Experience with software engineering and/or data engineering is considered an asset -
                                • -
                                • - Strong knowledge and experience of Python -
                                • -
                                • - Experience with parameter and architecture tuning of deep learning algorithms is considered an asset -
                                • +
                                • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, Engineering, or Data Science
                                • +
                                • Experience with agile methodology and work in a start-up environment
                                • +
                                • GCP or other cloud certifications
                                • +
                                • Bayesian / Belief Networks, and Causal Inference
                                -

                                -
                                • - Experience using open-source deep learning software frameworks (PyTorch, Tensorflow, JAX, or CUDA) -
                                -

                                -

                                HOW TO APPLY

                                -

                                -

                                Please address applications (cover letter and resume) to Richard Haldane, Talent Acquisition Specialist, using the link provided. The deadline for submission is May 24, 2022.

                                -

                                -

                                At the Vector Institute we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. This includes but is not limited to applicants who are indigenous, LGBT2Q+, racialized persons/visible minorities, women, and people with disabilities.

                                If you require an accommodation at any point throughout the recruitment and selection process, please contact
                                hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                -

                                -
                                ",,https://vectorinstitute.bamboohr.com/jobs/view.php?id=189&source=bamboohr&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2022-06-11T17:53:00.000Z,False,0,5,41,https://talenthub.vectorinstitute.ai/jobs/125022652-applied-machine-learning-scientist-ai-engineering-technology-toronto-ontario-at-vector-institute,,expired,2022-05-12T07:06:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Associate,PhD,New Posting, -6c7ab77b-a737-4731-bc71-d3132539d00b,133300165,CN,"Analyst, Advance Analytics",on_site,"Ontario, Canada",2022-06-23T07:35:04.175Z,"
                                -

                                -

                                At CN, everyday brings new and exciting challenges. You can expect an interesting environment where you’re part of making sure our business is running optimally and safely―helping keep the economy on track. We provide the kind of paid training and opportunities that long-term careers are built on and we recognize hard workers who strive to make a difference. You will be able to thrive in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                -

                                Job Summary

                                -

                                The Analyst, Advance Analytics role is responsible for leveraging statistical analysis, Artificial Intelligence (AI) machine learning, and optimization techniques to support the development of the terminal operating model of the future. The incumbent generates and utilizes the resulting data to optimize the operation and support the implementation of the Smart Terminal Program, as well as continuous improvement projects. The position contributes to CN’s Intermodal by mining critical data, using advanced Internet of Things (IoT), state-of-the-art sensors and control electronics, big data infrastructures, advanced analytics, deep learning, and other leading-edge technologies to improve virtually every aspect of the business.

                                -

                                Main Responsibilities

                                -

                                Continuous Improvement and Process Optimization Stakeholder Engagement and Alignment — 25%

                                -

                                · Drive continuous improvement by identifying opportunities and leading projects

                                -

                                · Use data science techniques to find data patterns, anomalies, and optimization opportunities

                                -

                                · Analyze complex data sets and operational parameters to support leadership in decision-making while implementing new solutions and processes

                                -

                                · Utilize the data to analyze and collaborate with Senior Terminal Managers, Terminal Managers, and Supervisors, as well as Network Planning to recommend optimization improvements in the Operation, contribute to define the operating models of the future and the optimization of the train loading plan, and participate in any resulting change management

                                -

                                Advance Analytics — 75%

                                -

                                · Manage and analyze large sums of data across various CN platforms to improve quality, reduce losses, and optimize planning processes

                                -

                                · Apply statistical and machine learning knowledge to specific business problems and data

                                -

                                · Collaborate with key stakeholders in the organization, vendors, and consultants to design and implement advanced analytical tools, consolidate data, and perform testing

                                -

                                · Act as an expert in sophisticated operational systems and terminal technology, advanced analytics, and benchmark CN, internally and externally

                                -

                                · Help build customer and operation score cards and dashboards that provide qualitative and historical view of the Company’s performance

                                -

                                Working Conditions

                                -

                                The role has standard working conditions in an office environment with a regular workweek. The incumbent must be available to work weekends when necessary. Due to the nature of the role, the position must be able to meet tight deadlines, handle pressure, and stress. The role requires minimal travel (5%).

                                -

                                Requirements

                                -

                                Experience

                                -

                                Research and Data Modelling

                                -

                                · Between 0 to 5 years of experience in research and advanced data modeling

                                -

                                o Between 0 to 5 years of experience in a large-scale operation and logistics environment

                                -

                                o Experience with optimization software and mathematical programming language such as CPLEX, Lingo or others

                                -

                                o Experience cleaning, managing, and visualizing data, structured and unstructured

                                -

                                o Experience with warehouse management, transportation, and planning systems*

                                -

                                o Experience with technology and operation automation projects*

                                -

                                o Experience in applied research in areas relevant to AI *

                                -

                                o Experience with Machine Learning algorithms*

                                -

                                *Any experience for these above would be considered as an asset

                                -

                                Education/Certification/Designation

                                -

                                · Bachelor’s Degree in Engineering, Applied Mathematics, Logistics, Data Mining, and Supply Chain management or equivalent education a must.

                                -

                                · Degree in Operations Research, Data Science or similar is preferred.

                                -

                                · Master’s Degree in Engineering, Operations Research, Data Science, Statistics, Data Mining, Supply Chain Management or equivalent education or experience would be considered as an asset.*

                                -

                                *Any designation for these above would be considered as an asset

                                -

                                Competencies

                                -

                                · Applies critical thinking

                                -

                                · Sets direction and inspires others

                                -

                                · Collaborates with others and shares information

                                -

                                · Solves problems to create value

                                -

                                · Demonstrates agility and drives change

                                -

                                · Knows the business and stays current on industry needs

                                -

                                · Fluently bilingual both written and verbal (English, French)*

                                -

                                *Any skills/attributes for these above would be considered as an asset

                                -

                                Technical Skills/Knowledge

                                -

                                · Project and time management*

                                -

                                · Knowledge of statistical modelling, operations research methodologies, Linear Programming (LP), data mining concepts or others

                                -

                                · Advanced knowledge of Microsoft Excel, Visual Basic for Applications (VBA), and macros

                                -

                                · Advanced knowledge of Structured Query Language (SQL) and NoSQL databases*

                                -

                                · Knowledge of advanced data analytics tools and languages such as Alteryx, R, Python or others*

                                -

                                · Knowledge in data visualization software, such as Tableau, PowerBI, Qlik or others*

                                -

                                *Any knowledge for any of the above would be considered as an asset

                                -

                                About CN

                                -

                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                -

                                -

                                -

                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                -
                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/8125?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2022-07-07T07:40:06.633Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/133300165-analyst-advance-analytics-at-cn,,expired,2022-06-23T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Transportation,Associate,Masters Degree,New Posting, -c5906d64-56d2-4269-ba34-eb40f8db2934,134738755,CIBC,"Senior Consultant, Analytics & Automation",on_site,"Ontario, Canada",2022-06-30T10:46:07.679Z,"
                                -

                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                -

                                -

                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                -

                                -

                                To learn more about CIBC, please visit CIBC.com

                                -

                                -

                                Job Description

                                -

                                -

                                What you’ll be doing

                                -

                                As a Senior Consultant, Analytics & Automation, you will be joining the Internal Audit department and the Data Analytics (DA) team, reporting to the Director, Data Management and Analytics Enablement. You will be responsible for making complex data more accessible, understandable and usable to our users, as well as creating tools that can help simplify and automate our processes. Incorporating design thinking, process design and user experience techniques to create intuitive dashboards for our users for insights and analytics

                                -

                                -

                                How you’ll succeed

                                -
                                  -
                                • Curious and Creative – we are looking for someone who is curious and creative, someone who is innovative and likes to try new concepts, as well as interpret themes and insights, and design an experience that makes complex insights more intuitive

                                • -
                                • Project Management and Process Design Skills – Our team constantly looks for ways to optimize and streamline processes to enhance efficiencies. A good understanding in User Interface and User Experience (UI/UX) design is preferred

                                • -
                                • Technical / Data Modelling Skills – prior experience in finding meaningful insights and design intuitive visualizations is beneficial. A background in web app design, data design, as well as DEV & UAT testing will be an asset

                                • -
                                • Data Management – Assist the director and the analytics team to source and manage new data sources for projects and ongoing audit engagements

                                • -
                                • Stay Current with Best Practices – our team constantly looks for ways to improve user experience and insights consumption, staying up to date with industry best practices in storytelling/data visualization, user experience, machine learning and big data analytics

                                • -
                                • Stay Current with Internal Audit – actively identify current and emerging trends, themes and topics in Internal audit analytics

                                • -
                                -

                                -

                                Who you are

                                -
                                  -
                                • You can demonstrate 3 years experience in: data management, UI/UX and dashboard design. Experience in PHP, Django, Python, HTML5, CSS, JavaScript, SQL, Alteryx, Hadoop (Cloudera)

                                • -
                                • You have a degree/diploma in Computer Science, Engineering, and/or a related field of study. It’s an asset if you have background in graphical design

                                • -
                                • You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do

                                • -
                                • You act like an owner. You thrive when you\'re empowered to take the lead, go above and beyond, and deliver results

                                • -
                                • You\'re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends

                                • -
                                -

                                -

                                What CIBC offers

                                -

                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                -
                                  -
                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                                • -
                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                • -
                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                • -
                                • You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                • -
                                -

                                -

                                What you need to know

                                -
                                  -
                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                • -
                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                • -
                                -

                                -

                                -

                                -

                                -

                                -

                                Job Location

                                Toronto-81 Bay, 26th Floor

                                Employment Type

                                Regular

                                -

                                Weekly Hours

                                37.5

                                Skills

                                -

                                Hyper Text Markup Language (HTML), JavaScript, jQuery, Python, Python Django, Structured Query Language (SQL) Development
                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Consultant--Analytics---Automation_2220189,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-07-07T10:51:09.722Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/134738755-senior-consultant-analytics-automation-at-cibc,,expired,2022-06-30T10:46:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +
                                +
                                +
                                ",,https://careers.telus.com/job/Toronto-Senior-Data-Scientist-ON/556220017/,feed-importer@jobboard.io,,,,2022-05-14T14:06:26.126Z,False,0,2,15,https://talenthub.vectorinstitute.ai/jobs/120269992-senior-data-scientist-at-telus,,expired,2022-04-14T07:33:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Masters Degree,New Posting, a9c53c4f-9741-4d78-87a3-72911449764c,120230008,Deep Genomics,Graduate Research Intern (Machine Learning),on_site,"Toronto, Ontario /",2022-04-14T05:06:03.400Z,"
                                About us
                                Deep Genomics is a Toronto-based startup company that is changing the future of medicine using artificial intelligence. Founded in 2015, Deep Genomics brings together a multidisciplinary team of world-leading experts in machine learning, genomics, chemistry and biology. Together we are on a mission to develop an AI-powered platform for rapid discovery and development of the best genetic medicines, focusing on oligonucleotide drugs for the treatment of patients with rare genetic diseases.
                                @@ -331802,229 +339490,109 @@ Knowledge of cyber security standards, risks, threats, protection measures, and

                                At the University of Toronto, we strive to be an equitable and inclusive community, rich with diversity, protecting the human rights of all persons, and based upon understanding and mutual respect for the dignity and worth of every person. We seek to ensure to the greatest extent possible that all students and employees enjoy the opportunity to participate as they see fit in the full range of activities that the University offers, and to achieve their full potential as members of the University community.


                                ",,https://schmidtfellows.utoronto.ca/apply,schmidtfutures@utoronto.ca,http://www.utoronto.ca,,,2022-11-24T15:36:00.000Z,False,0,2,30,https://talenthub.vectorinstitute.ai/jobs/164022015-postdoctoral-fellowship-at-university-of-toronto,,expired,2022-11-07T15:05:00.000Z,admin,Enterprise (500+),Application Click Through,Education,Fellowship,PhD,New Posting, -ecc250f3-8938-47bf-bc42-6e9f0059c94b,127070279,Scotiabank,Senior Data Analyst,on_site,Canada : Ontario : Toronto,2022-05-24T05:06:05.840Z,"

                                -

                                -

                                -

                                -

                                Requisition ID: 151215

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                -

                                The Team
                                Oversees Finance Data Management & Data Services within Global Finance & Risk Technology (GFRT) provides analytics and support services for Global Finance Initiatives. The Finance Data Management Data Services team supports Financial Close Processes and provide Financial Data Management, Data Analysis, Data Quality and Data Governance services for Toronto/Canada. The team is heavily involved in business transformation projects and equivalency testing during migrations.

                                -

                                -

                                The Role
                                As a Data Engineer you are required to participate in multiple finance transformation projects, liaise with stakeholders on new business initiatives, delivering solutions to meet the needs of multiple lines of business, and interfaces extensively with business clients. The incumbent will have a minimum of 2 to 3 years of strong expertise querying data from ledgers, data models, database design and an understanding of the Bank's financial data. The individual must thrive on challenge, be proactive, and demonstrate initiative, coaching the data engineers and eagerness to learn.

                                -


                                Some of the key accountabilities include:

                                -

                                • Work with senior team members (architects, developers, testers) to develop and implement data solutions for finance reporting systems
                                • Analyze data in both Financial Systems and Big Data environments
                                • Support senior team members through research assignments and proof of concepts
                                • Demonstrate a passion for problem solving and data presentation technologies
                                • Facilitate UAT testing for system migration and new initiatives
                                • Report development and support for internal customers; including executives analytical minded skillset
                                • Provide analytical support to company leadership by providing ad-hoc analysis and data trouble shooting support
                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                • Builds a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment and using a coaching mindset and behaviors; communicating vison/values/business strategy; and managing succession and development planning for the team.

                                -

                                -

                                What You Will Bring to Succeed
                                • Advanced level SQL design / reporting / data mining experience or familiar with using ACL
                                • CPA/CA or Accounting/finance knowledge with computer science/data sciences certification is preferred.
                                • Data Modeling experience with Agile methodology and familiar with scrum meetings and sprint planning.
                                • Analytical and Detail-oriented
                                • Report development and support for internal and external customers; including executives analytical minded skillset.

                                -

                                -

                                The Workplace
                                • We are technology partners who help the business transform how our employees around the world work
                                • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
                                • We foster an environment of innovation and continuous learning
                                • We care about our people, allowing them to design how they work to deliver amazing results
                                • We offer a competitive total rewards package, including a performance bonus, company matching programs (on pension & profit sharing), and generous vacation

                                -

                                -

                                Scotiabank
                                As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                -


                                Is this Role not the Exact fit?
                                Sign up to stay in touch; we’ll let you know when we have new positions on the team.

                                -


                                -

                                -

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Analyst-ON-M5H1H1/559377817/,feed-importer@jobboard.io,,,,2022-06-24T15:26:33.493Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/127070279-senior-data-analyst-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Analyst-ON-M5H1H1/559377817/,expired,2022-05-24T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -9c7e2240-8925-4e8a-926f-0482e205dd9a,127498448,Cohere AI,"Software Engineer, ML Frameworks",on_site,Toronto /,2022-05-26T05:06:07.214Z,"
                                -
                                Who are we?
                                -
                                We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learn to understand the meaning, sentiment, and intent of the words we use in a richness never seen before.
                                -

                                -
                                We recently raised our Series B, signed a multi-year partnership with Google Cloud, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.
                                -

                                -
                                We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, (over 23k citations) and was previously part of Google Brain. Our entire technical team is world-class.
                                -

                                -
                                We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.
                                -

                                -
                                Why this role?
                                -
                                Distribute and optimize anything and everything.
                                -

                                -
                                This role is ideal for you if you are excited about building a scale-first machine learning framework that powers Cohere’s language models. Here you will design and improve upon the framework that enables fast, reliable, and flexible training of large language models. In this role, you will work on the cutting edge of research and engineering, design and develop state-of-the-art machine learning models. If you are an experienced software engineer aiming to break into the ML industry, this is the role you are looking for! -
                                -

                                -
                                -Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role.
                                -
                                -
                                -

                                As a Software Engineer - ML Frameworks, you will:

                                -
                                    -
                                  • Design and improve upon the internal framework to train models
                                  • -
                                  • Build and test the scalable services in the framework using cutting-edge distributed frameworks
                                  • -
                                  • Build internal tooling (CI/CD, dev utilities) to move faster together
                                  • -
                                  • Keep up with the cutting edge and adopt new technologies to improve performance and reliability
                                  • +84aceda5-b0ca-4473-86c8-808a5b8928ce,188512113,Georgian,Machine Learning Scientist - Intern,on_site,"Toronto, ON, Canada",2023-01-19T20:28:53.397Z,"

                                    Georgian

                                    +

                                    +

                                    is a fintech company that invests in high growth technology companies

                                    +

                                    that harness the power of data in a trustworthy way. Georgian’s

                                    +

                                    investments include Shopify, ClickUp, Xanadu, and Vention. You can see our full portfolio here.
                                    At

                                    +

                                    Georgian, we’re building a platform to provide a better experience of

                                    +

                                    growth capital to software company CEOs and their teams, using an

                                    +

                                    intelligent, data-first approach to solving the key challenges CEOs face

                                    +

                                    as they grow their businesses.
                                    Based in

                                    +

                                    Toronto, Georgian’s team brings together software entrepreneurs, machine

                                    +

                                    learning experts, experienced operators and investment professionals.
                                    We

                                    +

                                    work on helping our companies accelerate the adoption of machine

                                    +

                                    learning, apply transfer learning to solve cold-start problems and

                                    +

                                    deliver machine learning solutions under strong privacy constraints. We

                                    +

                                    contribute back to the open-source community by building software

                                    +

                                    libraries based on successful projects. We also drink our own champagne

                                    +

                                    by using machine learning to find the best companies to invest in. Check

                                    +

                                    out our Medium page to get to know more about our past projects.
                                    If you want to know what it’s like to work at our team, listen directly from one of our Applied Research Scientists and from our Head of Machine Learning and Applied Research!

                                    +

                                    Join us if you are interested in:

                                    +
                                        +
                                      • Solving and adopting solutions to real-world business challenges in various companies by leveraging fundamental research
                                      • +
                                      • Working with people with diverse expertise
                                      • +
                                      • Advancing our applied research in Multimodal reasoning
                                      • +
                                      • Working in a flexible environment that allows for publications such as research papers, technical reports and blog posts
                                    -
                                -
                                -

                                You may be a good fit if:

                                -
                                    -
                                  • You are familiar with distributed systems - Ray and multiprocessing
                                  • -
                                  • You are excited to add new technologies to your toolbox and use them where it makes sense
                                  • -
                                  • You are competent at Docker and Kubernetes
                                  • -
                                  • Bonus: You have experience with high-performance, large-scale compute systems
                                  • -
                                  • Bonus: You have worked with major ML frameworks - JAX, Tensorflow, Pytorch
                                  • +

                                    What you will bring:

                                    +
                                        +
                                      • Proficiency in Python and relevant libraries, such as Sklearn, Numpy, and PyTorch
                                      • +
                                      • Deep understanding of Machine Learning concepts and familiarity in Computer Vision (CV) and Natural Language Processing (NLP)
                                      • +
                                      • Ability to plan and execute research roadmaps
                                      • +
                                      • Strong communication skills
                                      • +
                                      • Knowledge of Multimodal Reasoning and experience with HuggingFace are preferred
                                    -
                                -
                                -
                                If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                -

                                -
                                We welcome applicants of all kinds and are committed to providing both an equal opportunity process and work environment. We value and celebrate diversity and strive to create an inclusive work environment for all.
                                -

                                -
                                Our Perks:
                                -
                                🤝 An open and inclusive culture and work environment
                                -
                                🧑‍💻 Work closely with a team on the cutting edge of AI research
                                -
                                🍽 Free daily lunch
                                -
                                🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                -
                                🐣 100% Parental Leave top-up for 6 months for employees based in Canada and 12 weeks in the US
                                -
                                🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                -
                                🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend
                                -
                                ✈️ 6 weeks of vacation and shared Canada/US/UK holidays
                                -

                                -
                                #LI-Remote
                                -
                                ",,https://jobs.lever.co/cohere/83ed9e66-42f2-401f-b55b-5f501016adb1,feed-importer@jobboard.io,,,,2022-06-25T13:04:32.547Z,False,0,0,20,https://talenthub.vectorinstitute.ai/jobs/127498448-software-engineer-ml-frameworks-at-cohere-ai,https://jobs.lever.co/cohere/83ed9e66-42f2-401f-b55b-5f501016adb1,expired,2022-05-26T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,Bachelors Degree,New Posting, -f5444809-8034-4611-98a6-aa6ff500c1d9,132763723,TD Bank Group,Business Analyst II,on_site,"Toronto, ON",2022-06-20T21:06:12.395Z,"
                                -

                                Company Overview

                                -
                                -

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                -

                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                -
                                +

                                If

                                +

                                this sounds like an opportunity you are interested in, we would love to

                                +

                                chat. Please apply by telling us why you think you would be a great fit

                                +

                                for this role by Jan.19th, 2023, 5pm EST.
                                Georgian

                                +

                                is passionate about creating a diverse and inclusive workplace. We

                                +

                                promote equality and strive to provide all current and prospective

                                +

                                employees with support and opportunities.
                                Reasonable

                                +

                                accommodations are available to job applicants on request and

                                +

                                throughout the application process. If you require accommodation, please

                                +

                                contact peopleoperations@georgian.io.

                                ",,https://jobs.lever.co/georgian/5804ae73-ddeb-48fa-b737-edb53452470e,aitalent@vectorinstitute.ai,https://georgianpartners.com/careers/,,,2023-01-23T23:29:00.000Z,True,0,28,113,https://talenthub.vectorinstitute.ai/jobs/188512113-machine-learning-scientist-intern-at-georgian,,expired,2023-01-19T20:28:00.000Z,admin,Scaling (20-499),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +1e05996d-5fc5-4186-84b8-3e54d4f27a8b,188132853,BMO Financial Group,"Business Analytics and Reporting Intern, GAM - Summer 2023 (Co-op/Internship) - 4 Months",on_site,"Ontario, Canada",2023-01-18T17:12:03.400Z,"
                                +

                                Address:

                                100 King Street West

                                +

                                +

                                Job Family Group:

                                Data Analytics & Reporting

                                +

                                +

                                As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.

                                +

                                +

                                Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO First Friend peer assignment, BMO Social Squad student-led activities, BMO U corporate learning platform and access to various Employee Resource Groups to further develop your network within BMO.

                                +

                                +

                                Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Instagram @BMO_on_Campus and joining our LinkedIn group BMO Campus Recruiting & Early Talent.

                                +

                                +

                                Note: Only students currently enrolled in an academic program and returning to their studies will be considered for Co-op/Internship opportunities. Student who recently graduated are invited to apply to our New Grad opportunities which are available at https://jobs.bmo.com/ca/en/new-grad

                                +

                                +
                                +

                                To apply for this opportunity, please submit your cover letter, resume and an unofficial copy of your academic transcript. By applying for this general posting, you will be considered for a number of different student opportunities across multiple locations. If you are selected to move forward, you will be provided additional information.

                                -

                                Department Overview

                                -
                                The TDBG Global AML Compliance Department is accountable for establishing TDBG’s Global Anti-Money Laundering and Anti-Terrorist Financing Program (AML/ATF) to ensure that all TDBG businesses remain compliant with AML/ATF regulatory expectations in all jurisdictions where TDBG operates.

                                -

                                This includes setting consistent standards across business segments that maybe further tailored to specific business or jurisdictional requirements; conducting annual enterprise-wide AML risk assessments; maintaining the Global AML Policy (including Know Your Customer and Enhanced Due Diligence, record keeping & retention requirements); currency transaction and suspicious transaction monitoring and reporting; screening TDBG customers against regulatory watch lists (i.e., Name Matching); a hierarchy of designated AML officer functions; enterprise-wide and specialized AML training of employees; and independent AML testing.

                                +

                                The BMO GAM Digital Engagement team is starting an exciting journey to modernize the current digital experience for investors and advisors. The team is seeking a well-rounded analyst who is comfortable working with marketing and systems data to support business strategy.

                                +

                                +

                                -

                                Job Description

                                -
                                  -
                                • Lead a diverse range of stakeholders; communicates effectively by adapting style and technique to a diverse audience
                                • -
                                • Analyze impacts to customers, stakeholders, employees, process, technology solutions to achieve business results
                                • -
                                • Understand and clarify work packages of each assigned initiative/project inclusive of constraints (time, cost, people resources) and maintain a customer-centric approach
                                • -
                                • Provide recommendations and direction based on the end to end customer experience when making decisions
                                • -
                                • Lead and own the project deliverables related to business requirements to meet the needs of the customer, employee, and business
                                • -
                                • Assess and ensure that customer and employee experience / stakeholder impacts are appropriately managed
                                • -
                                • Engage appropriate stakeholders to identify and manage required outcomes of projects for the business
                                • -
                                • Provide on-going communication to key stakeholders, including the project sponsor, business project owner, project / program / portfolio manager to ensure they are aware of significant changes which impact requirements delivery against the overall project
                                • -
                                • Respond to inquiries and escalate concerns from stakeholders and partners at all levels in the organization
                                • -
                                • Identify and lead problem resolution to ensure customer needs are met
                                • -
                                • Lead and contribute to the development of test strategy/ test plans, test cases/ testing scenarios appropriate to the application/ project
                                • -
                                • Lead and contribute to the analysis of test data requirements, identification and preparation of test data
                                • -
                                • The Analyst will lead projects individually representing the GAML Business and supporting Business Acceptance Testing for all GAML initiatives.
                                • -
                                • The Analyst will lead interaction with Business Analysts, Project Managers, and internal /external partners throughout the various phases of a project / business initiative.
                                • -
                                • Recommend / Negotiate testing deliverables, timelines, appropriate to the project
                                • -
                                • Oversee and execute test scripts within the testing environment, ensuring defects are logged for the project, and documentation has been appropriately signed off
                                • -
                                • Chair daily defect status calls and provide updates to the project team
                                • -
                                • Provide project feedback, status reporting and mitigation plans to project team
                                • -
                                • Identify testing dependencies and risks, ensuring that they are effectively managed and mitigated
                                • -
                                • Ensure projects are following established testing procedures, standards and enterprise methodology
                                • -
                                • Contribute to Quality Assurance activities by supporting the development of test scripts and testing of developed solutions, including communication of issues and resolution
                                • -
                                • Ensure that the business acceptance tests exit criteria are met prior to implementation
                                • -
                                • Adhere to Enterprise project governance controls to ensure projects meet all performance, quality and compliance standards and conforms to appropriate disciplines
                                • -
                                • Contribute to the development of the project plan and high-level work breakout session (WBS), identify and manage key risks and decisions
                                • -
                                • Own and complete relevant work packages through collaboration with multiple stakeholders to prepare for operational readiness, managing deadlines and adjusting to changing work priorities
                                • -
                                • Take ownership and communicate progress on work packages, including requirements management, in a concise and timely manner, escalating issues to project manager, partners and manager where appropriate
                                • -
                                • Assess project change requests and their impacts on requirements, checking for alignment to project benefits at all phases
                                • -
                                -

                                -

                                Requirements

                                -
                                +

                                Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                  -
                                • Proficiency in the following applications: Excel, Word, PowerPoint, Visio, MS Project, HP- ALM, JTMF, JIRA and/or other testing tools.
                                • -
                                • Advanced knowledge of testing methodologies, Project Management life cycle, Quality Assurance concepts and methodologies, analytical skills and documentation standards.
                                • -
                                • Detail oriented, analytical with excellent problem solving and troubleshooting abilities
                                • -
                                • Highly organized and flexible in prioritizing various work demands
                                • -
                                • A solid team player and comfortable taking constructive criticism
                                • -
                                • Able and comfortable presenting findings, summaries and recommendations in a coherent and comprehensive format
                                • -
                                • Knowledge of Global Anti-Money Laundering systems and processes is an asset
                                • -
                                • Leads Requirements Management / work packages for Tier 5 low to moderate risk and regulatory projects or initiatives and may contribute to Tier 3-4 projects
                                • -
                                • Sound to advanced knowledge of business analysis, project delivery practices and standards across the project life cycle
                                • -
                                • Work performed under minimal management guidance and supervision
                                • -
                                • Identify and lead problem resolution
                                • -
                                • Supports and may contribute to communication and change management activities
                                • -
                                • Excellent interpersonal and communication (both written and oral) skills
                                • +
                                • Designs, develops, and implements innovative analytical solutions.
                                • +
                                • Designs and produces regular and ad-hoc reports, and dashboards.
                                • +
                                • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                                • +
                                • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                • +
                                • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                                • +
                                • Analyzes data and information to provide subject-matter insights and recommendations.
                                • +
                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                • +
                                • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                                • +
                                • Builds effective relationships with internal/external stakeholders.
                                • +
                                • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                • +
                                • Completes complex & diverse tasks within given rules/limits and may include handling escalations from other employees.
                                • +
                                • Analyzes issues and determines next steps.
                                • +
                                • Broader work or accountabilities may be assigned as needed.

                                  Qualifications:

                                  +
                                • +
                                • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Tableau, SQL, R, Python.
                                • +
                                • Knowledge of website analytics tools.
                                • +
                                • Specialized knowledge.
                                • +
                                • Verbal & written communication skills - Good.
                                • +
                                • Organization skills - Good.
                                • +
                                • Collaboration & team skills - Good.
                                • +
                                • Analytical and problem solving skills - Good.
                                -

                                #LI-Hybrid

                                -
                                +

                                +

                                +

                                We’re here to help

                                -

                                Additional Information

                                -
                                  -
                                • University degree and/or related working experience.
                                • -
                                • Minimum 4-5 years of BA/QA experience, preferably with 2-3 years of lead experience
                                • -
                                +

                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                -

                                Hours

                                -
                                37.5
                                +

                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                -

                                Inclusiveness

                                -

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                +

                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                -
                                ",,https://jobs.td.com/en-CA/jobs/16022106/business-analyst-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-06-23T21:11:08.371Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/132763723-business-analyst-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16022106/business-analyst-ii-toronto-ca/,expired,2022-06-20T21:06:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -c75e5b16-1cdb-4185-9779-60e30296a5c6,132128466,Scotiabank,"Manager, Forecasting Models - Retail and Small Business - Toronto, ON",on_site,Canada : Ontario : Toronto,2022-06-17T05:07:06.568Z,"

                                -

                                -

                                -

                                -

                                Requisition ID: 150724

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                -

                                The world is changing faster than ever and so are we!

                                -

                                -

                                Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

                                -

                                Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

                                -

                                -

                                What Are We Looking For?

                                -

                                We want talented pragmatic analytically oriented data scientists who are equally at home interpreting and applying statistics as they are ingesting and massaging data, translating regulatory requirements into models and explaining complex issues in simple concise ways. We want bright and energetic minds who come armed with a bottomless sense of curiosity about everything (great models and analytics are about so much more than just the numbers!), a passion for getting things done right – the first time – and a deep sense of personal and professional accountability.

                                -

                                -

                                To be a Manager in Forecasting arm of Retail Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you also need to be a collaborative team player who actively listens to stakeholders and customers because you are passionate about helping them win and you need to be interested in building something lasting and great. Working with internal customers (stakeholders) across the bank to understand and translate their needs into outcomes, exploring both novel and legacy data sets and methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that your team “owns” will all be equally important.

                                -

                                -

                                We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

                                -

                                -

                                Make an Impact

                                -

                                As a Manager, you will report directly to a Senior Manager or Director and be a critical member of a team overseeing a portfolio of forecasting models and analytic processes. You will support – from conception through execution and governance – the provision (credit loss estimation) models covering all of the Bank’s retail and small business product lines. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Provisioning, Model Operations, Enterprise Stress Testing, Product, Model Validation and Governance, Technology & Data, Finance, Compliance and Audit.

                                -

                                -

                                You will have access to both traditional SAS tools and a modern machine learning stack that includes on-premise GPU computing, open source Jupyter development environments, a Hadoop cluster, containerized API model deployment and data visualization business intelligence tools.

                                -

                                -

                                Under the guidance of your Director, your team of risk modeling experts will use these tools to develop advanced risk prediction and loss estimation forecasting models that will be used to make decisions worth $billions every month and therefore they need to be not only precise and accurate, but highly stable, explainable, compliant, secure and useful. You will be responsible for understanding the goals & priorities set for you, executing them efficiently with a perpetual eye on quality, asking questions often and delivering results in harmony with your teammates.

                                -

                                -

                                Is This Role Right for You?

                                -
                                • You believe, first and foremost, in always doing the right thing and doing things the right way
                                • You are both deeply curious and highly pragmatic
                                • You are comfortable with ambitious but realistic goals and are committed to achieving them
                                • You are social, engaging, not afraid to ask questions and relish the opportunity to learn from global partners across the firm (who may be less technical than you and might not speak English)
                                • You relish the opportunity and yet also understand the responsibility and weight that comes with the fact that the output of your models will directly influence the bank’s financial statements
                                • You can read complex and lengthy regulatory requirements and identify opportunities for optimization while always remaining committed to compliance excellence
                                • You understand what PDs, LGDs, EADS & attrition really are, from the ground up, and can model them precisely for any product
                                • You have a genuine love, passion and talent for programming, data, and predictive modeling
                                • You are committed to quality in everything you do – statistically, process and governance wise
                                • You look forward to sharing your insights through high-quality verbal & written communications
                                • You are professional, motivated AND FUN. We mean it.
                                • -
                                -

                                -

                                Sample projects that you might work on include:

                                -
                                • Complete specialized analysis, develop statistical solutions and recommend improvements to estimation techniques and/or forecasting models
                                • Prepare attribution and/or stock-flow analysis of product portfolios
                                • Collaborate with risk management, vendors, technology, foreign counterparts and compliance + audit to ensure effective governance, measurement & communication of model performance
                                • Conduct research of new innovative modeling methodologies, tools and regulatory requirements
                                • Lead the periodic monitoring, recalibration and maintenance of models and analytic tools
                                • Identify, promote and lead process improvements for model development and monitoring
                                • Ensure that the data used for model development is reliable and robust and that it adheres to industry and regulatory standards
                                • -
                                -

                                -

                                What Do You Need to Succeed?

                                -

                                General

                                -
                                • Bachelor’s Degree in Mathematics, Computer Science, Engineering or an equivalent technical field
                                • A demonstrated history of analytic problem solving and sound judgment
                                • Experience as an analyst or data scientist with a track record of accomplishments working on cross-functional teams
                                • Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit high-quality documentation and be accepted as a trusted advisor by peers
                                • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines
                                • -
                                -

                                -

                                Technical

                                -
                                • Strong fundamental understanding of statistics
                                • 2+ years of overall experience in analytic roles developing and using predictive, risk and/or forecasting models
                                • Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows)
                                • 1 or more years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
                                • Knowledge about credit risk models / scorecards
                                • -
                                -

                                -

                                What’s in It for You?

                                -
                                • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
                                • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                                • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
                                • Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
                                • A competitive rewards package that includes a base salary, a performance bonus, company matching programs on pension and profit sharing, paid vacation, personal & sick days, medical, vision and dental benefits that start from day one and much more!
                                • -
                                -

                                -

                                This position is located downtown Toronto, King St W. The team is working within a hybrid model, remote and in office.

                                -

                                -

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Forecasting-Models-Retail-and-Small-Business-Toronto%2C-ON-ON-M5H1H1/559897617/,feed-importer@jobboard.io,,,,2022-06-23T22:48:00.000Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/132128466-manager-forecasting-models-retail-and-small-business-toronto-on-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Forecasting-Models-Retail-and-Small-Business-Toronto%2C-ON-ON-M5H1H1/559897617/,expired,2022-06-17T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -f44a01b0-5c45-47fc-9b15-ac7ae6c69961,126310797,Scotiabank,Senior Data Analyst (Ottawa Hub location),on_site,Canada : Ontario : Ottawa || Canada : Ontario : Toronto,2022-05-20T05:06:06.326Z,"

                                -

                                -

                                -

                                -

                                Requisition ID: 152051

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                -

                                The Team
                                Oversees Finance Data Management & Data Services within Global Finance & Risk Technology (GFRT) provides analytics and support services for Global Finance Initiatives. The Finance Data Management Data Services team supports Financial Close Processes and provide Financial Data Management, Data Analysis, Data Quality and Data Governance services for Toronto/Canada. The team is heavily involved in business transformation projects and equivalency testing during migrations.

                                -

                                -

                                The Role
                                As a Data Engineer you are required to participate in multiple finance transformation projects, liaise with stakeholders on new business initiatives, delivering solutions to meet the needs of multiple lines of business, and interfaces extensively with business clients. The incumbent will have a minimum of 2 to 3 years of strong expertise querying data from ledgers, data models, database design and an understanding of the Bank's financial data. The individual must thrive on challenge, be proactive, and demonstrate initiative, coaching the data engineers and eagerness to learn.

                                -


                                Some of the key accountabilities include:

                                -

                                • Work with senior team members (architects, developers, testers) to develop and implement data solutions for finance reporting systems
                                • Analyze data in both Financial Systems and Big Data environments
                                • Support senior team members through research assignments and proof of concepts
                                • Demonstrate a passion for problem solving and data presentation technologies
                                • Facilitate UAT testing for system migration and new initiatives
                                • Report development and support for internal customers; including executives analytical minded skillset
                                • Provide analytical support to company leadership by providing ad-hoc analysis and data trouble shooting support
                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                • Builds a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment and using a coaching mindset and behaviors; communicating vison/values/business strategy; and managing succession and development planning for the team.

                                -

                                -

                                What You Will Bring to Succeed
                                • Advanced level SQL design / reporting / data mining experience or familiar with using ACL
                                • CPA/CA or Accounting/finance knowledge with computer science/data sciences certification is preferred.
                                • Data Modeling experience with Agile methodology and familiar with scrum meetings and sprint planning.
                                • Analytical and Detail-oriented
                                • Report development and support for internal and external customers; including executives analytical minded skillset.

                                -

                                -

                                The Workplace
                                • We are technology partners who help the business transform how our employees around the world work
                                • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
                                • We foster an environment of innovation and continuous learning
                                • We care about our people, allowing them to design how they work to deliver amazing results
                                • We offer a competitive total rewards package, including a performance bonus, company matching programs (on pension & profit sharing), and generous vacation

                                -

                                -

                                Scotiabank
                                As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                -


                                Is this Role not the Exact fit?
                                Sign up to stay in touch; we’ll let you know when we have new positions on the team.

                                -


                                #ottawahub

                                -

                                -

                                Location(s): Canada : Ontario : Ottawa || Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Ottawa-Senior-Data-Analyst-%28Ottawa-Hub-location%29-ON/559610017/,feed-importer@jobboard.io,,,,2022-06-23T20:35:52.204Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/126310797-senior-data-analyst-ottawa-hub-location-at-scotiabank,https://jobs.scotiabank.com/job/Ottawa-Senior-Data-Analyst-%28Ottawa-Hub-location%29-ON/559610017/,expired,2022-05-20T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -a6aa8453-60ae-4001-abd3-c94eced1fcf5,134796771,TD Bank Group,Senior Business Insights Analyst,on_site,"Toronto, ON",2022-06-30T21:07:11.035Z,"
                                +

                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                +

                                +

                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                +
                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Business-Analytics-and-Reporting-Intern--GAM---Summer-2023--Co-op-Internship----4-Months_R220032564?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa&company=99ba898c88ac011c8a873c01f2016c06,feed-importer@jobboard.io,https://jobs.bmo.com/ca/en,,,2023-01-24T17:17:02.769Z,False,0,7,15,https://talenthub.vectorinstitute.ai/jobs/188132853-business-analytics-and-reporting-intern-gam-summer-2023-co-op-internship-4-months-at-bmo-financial-group,,expired,2023-01-18T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +dfe076c3-d345-4d71-8f6d-6bbd3dfec0b1,189730410,TD Bank Group,Senior Machine Learning Engineer (Layer 6),on_site,"Toronto, ON",2023-01-24T17:24:03.296Z,"

                                Company Overview

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                @@ -332033,43 +339601,59 @@ a6aa8453-60ae-4001-abd3-c94eced1fcf5,134796771,TD Bank Group,Senior Business Ins

                                Department Overview

                                -

                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                -

                                We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                +

                                Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform.

                                +

                                Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 – Visual Relationship (winner in 2019).

                                Job Description

                                -

                                -

                                About this Role

                                -

                                As an expert in data and analytics, you will provide in depth expertise, analytical interpretation, key insights and action items to your multi-functional business partners across the organization. Those insights will be brought to bear to enable informed and enabled business decisions enterprise wide or help to solve the increasingly complex business problems they face.

                                -

                                In this role, TD will look to as a thought leadership as well as a leader in your space, coaching, mentoring, empowering and educating your peers to collaborate and bring TD into the future of banking.

                                -

                                -

                                As a Senior Business Insights Analyst, you will:

                                +

                                The Machine Learning Product Engineer team at Layer 6 focuses on building industry-leading data-centric systems and model delivery systems. Our solutions include data pipelines, feature data lake, systemic data validation and automation of key activities in model delivery including model validation, shakedown, inference, and maintenance.

                                +

                                We are looking for experienced Senior Machine Learning Product Engineers (Engineering Lead) who have worked under tight deadlines and guided teams towards successful deliveries. The ideal candidate is a master of coding and system design with track record of technical leadership. They also are experts in data engineering and/or machine learning.

                                +

                                The candidate will be the go-to person for data and model delivery. They will lead and coordinate efforts of members on the MLPE team to ensure best engineering practice in our systems. The candidate will interact with machine learning scientists, the infrastructure team and data sources team to develop systems that will satisfy the needs of machine learning projects.

                                +

                                What are your main responsibilities?

                                  -
                                • Apply understanding of respective business strategies to produce relevant and substantial data analysis to support business goals and objectives
                                • -
                                • Develop analysis to illustrate business trends and identify areas of business opportunities
                                • -
                                • Produce insights and recommend business actions to align with strategy and/or solve business problems
                                • -
                                • Provide seasoned specialized knowledge, advice and/or mentorship to various business and working partners
                                • -
                                • Execute on data requests accurately and within a timely manner
                                • -
                                • Represent functional area as an analytics & insights professional and key resource; build positive and productive working partnerships
                                • -
                                • Act as a bridge to translate business requirements to analytics and reporting needs for a given domain
                                • -
                                • Provides day-to-day support and delivery of analytics
                                • -
                                • Work independently as the senior analyst/subject matter expert and may coach and educate others
                                • -
                                • Considered an authority within a given area
                                • -
                                • Oversee and/or independently perform tasks from end to end
                                • +
                                • Lead the design and implementation of complex data-centric solutions, including extremely complex and large data set verification, transformation and feature generation, to ensure continuous high-quality input for the model development

                                • +
                                • Lead the design and implementation of model delivery systems, including inference pipeline, automatic model validation reports generation, automatic model performance monitoring and model retraining, to ensure fast model productionization and reliable production system

                                • +
                                +
                                  +
                                • Go-to person for data and model delivery within Layer 6

                                • +
                                • Lead and mentor Machine Learning Product Engineers to ensure best engineering practice in our systems.

                                Requirements

                                -What can you bring to TD?

                                -

                                Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                +

                                Required Technical Skills

                                  -
                                • Undergraduate degree or technical certificate
                                • -
                                • Five (5) or more years relevant experience
                                • -
                                • Hands on experience in Python/PySpark, Tableau, and SQL
                                • -
                                • Experience in modeling (ML algorithms) is desirable
                                • -
                                • Management consulting and/or MBA background is preferable
                                • +
                                • BSc+ in Computer Science, Math, Physics, or similar

                                • +
                                • 5+ years of extensive programming experience, at least 3 years in building production data systems

                                • +
                                +
                                  +
                                • 3+ years experience of building machine learning production system

                                • +
                                • Expert level skills in system design

                                • +
                                • Expert in Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Spark, Cassandra, Kafka, Elasticsearch

                                • +
                                • Strong knowledge of Machine Learning and Deep Learning

                                • +
                                • Practical expertise in performance tuning, bottleneck problems analysis, and troubleshooting

                                • +
                                +
                                  +
                                • Experience with Big Data solutions developed in large cloud computing infrastructures such as Azure and AWS

                                • +
                                • Strong experience with Scala and Java 8

                                • +
                                +

                                Nice to have Skills

                                +
                                • C++, Python experience

                                +
                                +

                                +

                                Additional Information

                                +
                                +

                                Benefits

                                +
                                  +
                                • Entrepreneurial and inclusive culture

                                • +
                                • Excellent health coverage and pension plan

                                • +
                                • Four weeks paid vacation

                                • +
                                • +

                                  Catered lunches twice a week over machine learning talks

                                  +

                                  #LI-Hybrid

                                  +

                                @@ -332077,214 +339661,127 @@ a6aa8453-60ae-4001-abd3-c94eced1fcf5,134796771,TD Bank Group,Senior Business Ins
                                37.5

                                Inclusiveness

                                -

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                -

                                -
                                ",,https://jobs.td.com/en-CA/jobs/15906209/senior-business-insights-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-07-04T20:49:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/134796771-senior-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15906209/senior-business-insights-analyst-toronto-ca/,expired,2022-06-30T21:07:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -c9a49652-9469-4346-b70b-65e9395f8a8c,131887931,EY,Senior Consultant - Privacy and Data Trust,on_site,Toronto,2022-06-16T04:44:02.979Z,"

                                Senior Consultant - Privacy and Data Trust

                                -
                                Location: Toronto
                                -
                                Other locations: Primary Location Only
                                -
                                Date: Jun 10, 2022
                                -

                                At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

                                -

                                -

                                With rapidly changing data threats, clients from all industries look to us for trusted solutions for their increasingly complex risks. You will have access to our robust platform to advise clients on managing data protection and privacy, enhancing maturity, and improving efficiency. You will belong to an international connected team of specialists helping our clients with their most complex data protection and privacy needs and contributing toward their business resilience.

                                -

                                -

                                The opportunity

                                -

                                -

                                We are actively seeking a Senior Consultant to join our Cybersecurity team specifically the Privacy and Data Trust specialty. You’ll work alongside respected industry professionals, learning about and applying leading practices to better manage people, processes and technology capabilities within the data protection and privacy domains. You’ll gain insights into the design and operations of privacy and data trust programs and strategies in a variety of industries and learn how to design measurable, sustainable programs to keep up with the constantly evolving privacy landscape.

                                -

                                -

                                This position falls within our Consulting practice, which helps our clients enhance the effectiveness of operations functions by assisting them as they shift their emphasis from transaction-level control, processing and reporting to more value driven, decision support and analytics.

                                -

                                -

                                Your key responsibilities

                                -

                                -

                                As a Cybersecurity, privacy and data trust senior you'll deliver client engagements as well as internal projects. You will help clients gain insights into their privacy programs and capabilities to maintain compliance to local and global privacy regulations while building consumer trust. Consult with privacy and cyber managers to determine the role of IT systems in an organization. Research emerging technologies to determine if installing them can increase the organization’s efficiency and effectiveness and identify any potential impact in privacy. Advise clients on managing their privacy programs to mitigate their business risks. Assess privacy programs and strategies using our proprietary framework, design solutions to remediate gaps or enhance maturity of specific privacy capabilities, improve measurements and monitoring, and develop sustainable processes to enable our clients to achieve business goals and mitigate their risks.

                                -

                                -

                                Skills and attributes for success

                                -

                                -

                                Client Responsibilities

                                -
                                • Consistently deliver quality client services.
                                • Stay abreast of current business and industry trends relevant to the client's business.
                                • Demonstrate technical capabilities and professional knowledge. Demonstrate ability to assimilate to new knowledge.
                                • Remain current on new developments in advisory services capabilities and industry knowledge.
                                • Demonstrate and apply a thorough understanding of complex data processing systems. Use knowledge of the current data processing environment and industry trends to identify engagement and client service issues and communicate this information to the engagement team and client management through written correspondence and verbal presentations.
                                • -
                                -

                                -

                                To qualify for the role, you must have

                                -
                                • A Bachelor’s degree in Law or in Computer Science, Management Science, Information Security, Data, Business, Ethics or a related field and 5 years of progressive, post-baccalaureate work experience. Alternatively, will accept a Master’s degree in Computer Science, Management Science, Data, Business, Ethics, Law, or a related field and 2 to 3 years of work experience.
                                • Knowledge and 2 to 3 years of hands-on experience in one or more of the following areas:
                                  - Assessing client risk and compliance against privacy regulations
                                  - Designing or operationalizing functional privacy within or on behalf of a business.
                                  - Providing support of privacy enhancing technology (PET).
                                • Knowledge and 2 to 3 years of practical experience with common frameworks, standards and methodologies used in the data protection and privacy field.
                                • Practical experience with conducting risk assessments and testing of data protection and privacy controls
                                • Excellent analytical skills and knowledge of data analytics methods
                                • Ideally possess one of the following certifications: CIPP (Canada), CIPM or CIPT.
                                • Solid knowledge and experience presenting using MS Power Point, Excel and Visio.
                                • Solid oral and written communication skills.
                                • Experience on writing reports on findings and analysis of privacy issues.
                                • -
                                -


                                What we look for

                                -

                                -

                                We’re interested in intellectually curious people with a genuine passion for cybersecurity, data protection and privacy. If you have the confidence in both your presentation and technical abilities to grow into a leading expert here, this is the role for you.

                                -


                                Diversity and Inclusion at EY

                                -

                                -

                                Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. From our actions to combat systemic racism and our advocacy for the LGBT+ community to our innovative Neurodiversity Centre of Excellence and Accessibility initiatives, we welcome and embrace the diverse experiences, abilities, backgrounds and perspectives that make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                                -


                                What we offer

                                -


                                At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

                                -

                                -

                                We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

                                -
                                • Support and coaching from some of the most engaging colleagues in the industry
                                • Learning opportunities to develop new skills and progress your career
                                • The freedom and flexibility to handle your role in a way that’s right for you
                                • -
                                -

                                -

                                EY | Building a better working world

                                -


                                EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

                                -


                                Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

                                -


                                Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

                                ",,https://careers.ey.com/ey/job/Toronto-Senior-Consultant-Privacy-and-Data-Trust-ON-M5H-0B3/695413101/,feed-importer@jobboard.io,,,,2022-07-04T20:49:00.000Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/131887931-senior-consultant-privacy-and-data-trust-at-ey,https://careers.ey.com/ey/job/Toronto-Senior-Consultant-Privacy-and-Data-Trust-ON-M5H-0B3/695413101/,expired,2022-06-16T04:44:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, -5221c5fd-9539-4037-a1df-0ab4b277620f,115720713,Thomson Reuters,Applied Research Scientist - NLP,on_site,"Ontario, Canada",2022-03-20T13:31:02.035Z,"
                                -

                                Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in Toronto and Minneapolis is seeking scientists with a passion for solving problems using state-of-the-art Information Retrieval, Machine Learning and Natural Language Processing.

                                -

                                -

                                What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research and the development of new products and technologies. TR Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today while investing in long-term research for the future.

                                -

                                -

                                As a scientist in Labs, you will be part of a global interdisciplinary team of experts. We hire specialists across a variety of AI research areas, as well as Engineering and Design, to drive the company\'s digital transformation. TR Labs is known for delivering innovative AI products that serve Thomson Reuters customers in new and exciting ways.

                                +
                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                -

                                More about Thomson Reuters Labs - http://tr.com/ai-jobs

                                +
                                ",,https://jobs.td.com/en-CA/jobs/17650200/senior-machine-learning-engineer-layer-6-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-27T17:29:07.671Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/189730410-senior-machine-learning-engineer-layer-6-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17650200/senior-machine-learning-engineer-layer-6-toronto-ca/,expired,2023-01-24T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +a548e086-fbde-4a93-90b5-8937f5220caa,183865777,TD Bank Group,Data Science & Advanced Analytics Co-op/Intern,on_site,"Toronto, ON",2023-01-05T17:24:03.947Z,"
                                +

                                Company Overview

                                +
                                +

                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                                +

                                Why TD?

                                +

                                TD’s Colleague Promise: A better you. A better us.

                                +

                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                +

                                -

                                About the role

                                -

                                In this opportunity you will:

                                +

                                Department Overview

                                +
                                +

                                Department Overview

                                +

                                Co-op and Internship opportunities allow you to gain valuable work experience across a number of the businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                                +

                                Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:

                                  -
                                • Experiment and Develop: You will execute the entire model development lifecycle, from prototype to delivery, while applying best practices for reproducible research and well-managed software delivery.

                                • -
                                • Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe.

                                • -
                                • Delivery: You will be accountable for timely, well-managed deliverables.

                                • -
                                • Innovate: You will be empowered to try new approaches and learn new technologies.

                                • -
                                • Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences.

                                • +
                                • Leadership talks with key Leaders from across the organization
                                • +
                                • Lunch and Learns on topics such as Innovation
                                • +
                                • Diversity and Inclusion and Personal Branding and so much more
                                +

                                -

                                About you

                                -

                                You are a fit for the role if you have:

                                +

                                Job Description

                                +
                                +

                                JOB DESCRIPTION

                                +

                                You will have the opportunity to work with one of our various teams within the Analytics & Data group. The Data Science & Advanced Analytics Co-op/Intern is a 4/8/12-month work term opportunity in data and analytics. The Data Science and Advanced Analytics Co-op/Intern will perform a variety of activities, we are looking for someone who will be an ambitious and dedicated contributor to our team. Not only is this an opportunity for promising career growth, but meaningful work awaits both on business and Analytics & Data fronts.

                                +

                                The The Data Science and Advanced Analytics Co-op/Intern will perform a variety of activities, which may include:

                                  -
                                • Ph.D. in a relevant discipline or Master\'s plus a comparable level of experience

                                • -
                                • At least one year of industry experience building IR/NLP/ML systems

                                • -
                                • Solid software engineering skills for prototyping

                                • +
                                • Apply machine learning methods to conduct data-driven research, identify opportunities, and make tangible recommendations to senior management.
                                • +
                                • Support business partners to identify opportunities for process optimization and informed decision-making and build innovative solutions.
                                • +
                                • Work with structured and unstructured data and prepare data sets for machine learning through integration, cleaning, feature engineering, scaling and transforming data
                                • +
                                • Build production-scale solutions and work with deployment teams to integrate in business operations
                                • +
                                • Leverage visualization methods to represent results and communicate outcomes to technical and non-technical audiences
                                +

                                -

                                Preferred qualifications

                                +

                                Requirements

                                +
                                  -
                                • 5+ years academic or industry experience building IR, ML or NLP systems with the demonstrated ability to translate cutting edge research into working applications

                                • -
                                • Proficiency in Python, Java, or Scala and experience delivering minimum viable products in a large enterprise environment

                                • -
                                • Proven communication skills and ability to work on deliverables independently

                                • -
                                • Publications at workshops or conferences such as ACL, EMNLP, NAACL, SIGIR, NeurIPS, or similar

                                • +
                                • +JOB REQUIREMENTS

                                  Assigned Line of Business Requirements

                                  +
                                • +
                                • Currently enrolled in either a recognized undergraduate or graduate degree majoring in Computer Science, Physics, Mathematics, Statistics, Engineering, Data Analytics or related, with the intent of going back to school at the start of your work term.
                                • +
                                • Strong statistical and analytical skills and interest are necessary.
                                • +
                                • Excellent verbal and written communication with the ability to work collaboratively and effectively in a team environment.
                                • +
                                • Experience in Python, SQL and/or other data-related programming languages.
                                • +
                                • Experience with visualizations and building dashboards in Tableau is considered an asset.
                                • +
                                • Knowledge/experience with machine learning is considered an asset.
                                • +
                                • Experience with Data Management, Analytics, and Project Management is a plus.
                                +

                                ** Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting.

                                +

                                -

                                What\'s in it for you

                                -

                                At Thomson Reuters, our people are our greatest assets. In addition to rewarding and challenging work with exceptional colleagues, we offer the following benefits for your personal and professional growth:

                                +

                                Additional Information

                                +
                                +

                                Early Talent Requirements

                                  -
                                • Learning & Development: On-the-job coaching & learning, tuition reimbursement, exposure to leading-edge technology

                                • -
                                • Our Scientists and Engineers get to play with big data sets to discover new products, capabilities, and insights for our customers. Thomson Reuters is most well-known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate and tax professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data.

                                • -
                                • Benefits: Flexible work arrangements, comprehensive health coverage effective day one, savings and investment plans

                                • -
                                • Perks: Social events & activities, employee discount programs

                                • -
                                • Social Impact: Paid time off for volunteering virtually or in your community

                                • -
                                -

                                -

                                #LI-JS3

                                -

                                -

                                COVID-19 Vaccination Status Information Requirement (US employees only):

                                -

                                Thomson Reuters is committed to ensuring the continued safety of our employees in regards to Covid-19. While vaccination is not required for consideration or employment at this time, to inform our site planning and policies, we require all Thomson Reuters employees to verify their vaccination status upon starting with the Company.

                                -

                                -

                                Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                -

                                -

                                We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                -

                                -

                                Accessibility

                                -

                                -

                                As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                -

                                -

                                We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                -

                                -

                                -

                                Protect yourself from fraudulent job postings click here to know more.

                                -

                                -

                                More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                -
                                ",jeffrey.schadoff@thomsonreuters.com,,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2022-06-28T13:31:00.000Z,True,5,4,181,https://talenthub.vectorinstitute.ai/jobs/115720713-applied-research-scientist-nlp-at-thomson-reuters,,expired,2022-03-20T13:31:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Vector Quick Apply,Technology (Information and Media),Senior Level,PhD,Re-Posting an Expired Job, -f1925eb4-8a53-4094-9335-9973ac57e08d,131511361,Scotiabank,"Data Engineer, Data Management, AML/ATF Models and Analytics",on_site,Canada : Ontario : Toronto,2022-06-14T05:07:07.232Z,"

                                -

                                -

                                -

                                -

                                Requisition ID: 153714

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                -

                                As a data engineer/developer in Data Management, AML/ATF Models and Analytics team, you will contribute to building a better way to approach banking data for AML/ATF purposes by leveraging your engineering, analytical and communication skills to work with different business partners across the whole bank. This role will also involve the development of a web application and data design in a python framework.

                                -

                                -

                                Key Accountabilities:

                                -

                                -
                                • Deep dive into banking data, perform data profiling and analysis to determine better dimensional/hierarchical data for AML/ATF model and analytics.
                                • Design highly efficient backend data mart to support frontend application
                                • Develop python based web application to support AML requirements
                                • Work with technology partners such as the bank private cloud teams to build up and maintain cloud infrastructure
                                • Champion a customer focused culture to deepen client relationships by leveraging broader Bank systems and product knowledge
                                • Actively pursue effective and efficient operations of the respective fields, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                • +
                                • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                • +
                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                • +
                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements.
                                -

                                -

                                Experience / Education:

                                -

                                -
                                • Strong knowledge of python and SQL
                                • Familiarity with development within Linux environment
                                • Experienced in using python web application frameworks, like Dash, Flask, etc.
                                • Strong knowledge of data lifecycle for customer, account, and transactional data
                                • Strong and effective communication skills for managing expectations with diverse groups for stakeholders
                                • Familiarity with JavaScript, CSS, and HTML preferred
                                • Bachelor's degree in computer science, engineering, or related fields
                                • AML knowledge or banking knowledge is an asset
                                • +

                                  ADDITIONAL INFORMATION
                                  Please note that this is a general posting. If you are selected for an interview, more information regarding which business group and the specific job duties will be provided.

                                  +
                                    +
                                  • This position is a 4-month work term and will commence May 1st, 2023 – August 25th, 2023.
                                  • +
                                  • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                  • +
                                  • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
                                  -

                                  -

                                  This is a temporary, full time role for 12 months.

                                  -

                                  -

                                  Location(s): Canada : Ontario : Toronto

                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Data-Engineer%2C-Data-Management%2C-AMLATF-Models-and-Analytics-ON-M5H1B6/560413917/,feed-importer@jobboard.io,,,,2022-06-27T20:45:00.000Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/131511361-data-engineer-data-management-aml-atf-models-and-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Engineer%2C-Data-Management%2C-AMLATF-Models-and-Analytics-ON-M5H1B6/560413917/,expired,2022-06-14T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -f8c53e5f-9460-4580-9eb2-46cc22c271f2,133644152,Scotiabank,Principal Data Engineer - 9,on_site,Canada : Ontario : Toronto,2022-06-25T05:07:09.883Z,"

                                -

                                -

                                -

                                -

                                Requisition ID: 150001

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                -

                                Purpose:

                                -


                                The CIDA team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is produced, consumed, and managed at an enterprise level to drive business value. The aim is to provide a truly productized offering of re-usable data that can be delivered iteratively through a streamlined process and framework in order to meet the velocity that will allow data consumers to focus on delivering business value. We are looking to build our delivery team with influencers, makers, creators and industry leaders who will drive us forward.

                                -


                                The role of the Principal Engineer operates within the Data Engineering & Delivery team. This valuable member of the team will be responsible for creating scalable automated systems for re-usable data assets, pipelines and services for the broad enterprise use. This role is focused on creating transformative change in how our organization interacts with data. We are looking for someone who will work closely with other software engineers, data engineers, data architects, technology leads, analytics teams, infrastructure teams and other development/engineering teams in the bank to design and develop the technical solutions for enterprise data capabilities.

                                -

                                -


                                Key Accountabilities:

                                -


                                • Lead a high-functioning Product Engineering Team!
                                • Design, manage, and maintain data services and platforms to enable enterprise-wide use of data
                                • Be an evangelist and drive adoption of data services and automation tools
                                • Work closely with partner teams in Analytics, IT, various lines of business to create reusable assets that drive real business outcomes
                                • Participate in design discussions focused on scalability and design and implementation best practices.
                                • Work with other lead engineers and architects on breaking-down, scoping, and estimating tasks.
                                • Participate in planning and retrospective sessions, attend stand-ups, etc.
                                • Provide mentorship, peer review, and code review on data services & DevOps practices.
                                • Lead one or more products/services and define functions or features for data platforms.
                                • Support and maintain a successful product

                                -

                                -


                                Functional Competencies:

                                -


                                • 5+ years of experience in building and delivering scalable, enterprise-level software solutions
                                • 5+ years of software development and infrastructure experience, using a variety of object-oriented programming languages (e.g. Scala, Java, Python)
                                • 3+ years of experience leading and managing software development teams
                                • Functional experience developing applications using Cloud technologies (e.g. Google Cloud)
                                • Proven experience working with big data technologies (e.g. Spark, Airflow, MinIO, Rancher)
                                • Proven experience working with relational databases (DB2, MySQL, PostgreSQL).
                                • Strong Understanding of CI/CD (Jenkins, Git, Bitbucket, other).
                                • Experience working with traditional data warehousing / ETL tools (Talend, Informatica, DataStage, other).
                                • Experience in software engineering best practices such as code reviews, testing frameworks, maintainability and readability
                                • Knowledge and understanding of analytics & data science life cycle
                                • Knowledge and understanding of container and micro-services technologies (Docker, Kubernetes, APIM); domain expertise in data platform features and capabilities.
                                • Experience in Agile/Product/Architecture.
                                • Experience in Cloud Data Solutions would be an asset
                                • Ability to solve ambiguous and typically novel problems that require the effort of several engineers and organizational alignment
                                • Experience in technical leadership of medium to large sized technical teams in delivering production solutions.
                                • Strong communication skills, both written and spoken
                                • Attention to details, high standards for quality.
                                • Desire to learn, grow yourself and your team.
                                • Passion for driving teams towards high performance and a deep pride in quality craftsmanship that delights users.
                                • Writing and maintaining related documentation.
                                • Ability to be an effective influencer on technology direction / an effective evangelist.
                                • Helps recruit + groom technology leaders and future leaders.

                                -

                                -

                                -

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Principal-Data-Engineer-9-ON-M5C2V9/559004017/,feed-importer@jobboard.io,,,,2022-06-30T17:10:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/133644152-principal-data-engineer-9-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Principal-Data-Engineer-9-ON-M5C2V9/559004017/,expired,2022-06-25T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -efb25fd1-e2b9-4eaf-b351-1b34c6da587e,131925286,CIBC,"Consultant, Risk Business Intelligence Office",on_site,"Ontario, Canada",2022-06-16T10:46:10.130Z,"
                                -

                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                -

                                -

                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                -

                                -

                                To learn more about CIBC, please visit CIBC.com

                                -

                                -

                                Job Description

                                -

                                -

                                -

                                What you’ll be doing

                                -

                                -

                                As Consultant of the Risk Business Intelligence Office (RBIO) you’ll apply your Technical skillset and knowledge of Risk Management to enhance risk domain business intelligence. You’ll participate in collaborating with business owners to capture detailed requirements and aid in supporting our technical teams to deliver reporting solutions using the Business Intelligence tools available.

                                +

                                HOURS
                                Monday-Friday, standard business hours
                                INCLUSIVENESS
                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                +

                                -

                                At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                +

                                Hours

                                +
                                37.5

                                -

                                How you’ll succeed

                                -
                                  -
                                • Business analysis – Work with owners of the various source systems that feed into our central data warehouse. This includes attending regular meetings to discuss new initiatives and planned promotion schedules in order for us to be able to synchronize our system with such upstream changes. In addition, provide support to our BI Developers with business requirements and UAT testing.

                                • -
                                • Collaborate – Work with technology teams that support our systems. They depend on our expertise to provide detailed requirements to implement our initiatives. Strengthen existing mutually beneficial relationships with external teams including the technology team.

                                • -
                                • Project planning and execution – As part of your business intelligence and data management responsibilities, you will participate in managing and tracking various commitments to our clients, helping to ensure that critical deadlines are closely monitored and not compromised.

                                • -
                                +

                                Start Date

                                +
                                – Summer

                                -

                                Who you are

                                -
                                  -
                                • You give meaning to data. You enjoy investigating complex problems, and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way.

                                • -
                                • You demonstrate experience in having a thorough understanding of and extensive experience with data warehouses, data querying tools (SQL), BI Tools (Cognos, Tableau), experience with large data models and preparing data mapping and business requirement documents

                                • -
                                • You understand that success is in the details. You notice things that others don\'t. Your critical thinking skills help to inform your decision making.

                                • -
                                • You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

                                • -
                                • You have a degree in computer science or mathematical studies. Business Analyst Certification is an asset.

                                • -
                                • Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

                                • -
                                +

                                Inclusiveness

                                +

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                -

                                What CIBC Offers

                                +
                                ",,https://jobs.td.com/en-CA/jobs/17549816/data-science-advanced-analytics-co-op-intern-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-27T17:29:07.671Z,False,0,35,105,https://talenthub.vectorinstitute.ai/jobs/183865777-data-science-advanced-analytics-co-op-intern-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17549816/data-science-advanced-analytics-co-op-intern-toronto-ca/,expired,2023-01-05T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +c8da13c5-9f11-4bf7-9b4a-cadd8fe88d3d,189730408,TD Bank Group,Senior Business Insights Analyst,on_site,"Markham, ON",2023-01-24T17:24:03.184Z,"
                                +

                                Company Overview

                                +
                                +

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                +

                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                +

                                -

                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                -
                                  -
                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                                • -
                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                • -
                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                • -
                                +

                                Department Overview

                                +
                                +

                                We can’t afford to be boring. Neither can you. The scale and scope of what TD does may surprise you. The rapid pace of change makes it a business imperative for us to be smart and open-minded in the way we think about strategy. TD’s strategy and business teams become more intertwined as new opportunities present themselves. This new era in banking does not equal boring. Not at TD, Not at Risk, Not at Fraud strategy, anyway.

                                +

                                The Enterprise Protect is an enterprise-level body that strives to protect TD Bank Group customers, shareholders and employees from financial crimes and fraud. Aligned with TD strategy and risk appetite, Enterprise Protect develops and evolves enterprise policies, advanced analytics capabilities and operational processes to improve governance, oversight, and collaboration between fraud management and other control functions within the Bank.

                                +

                                The Canadian Performance Management (CPM) team operates within Enterprise Protect in a fast-paced environment requiring both strategic and tactical responses to changing fraud patterns and provides a unique opportunity to apply critical thinking and leadership skills in an innovation centric environment.

                                +

                                +

                                Job Description

                                +
                                +

                                This role will be responsible for developing, implementing and monitoring strategies to manage evolving fraud trends, taking into consideration TD’s risk appetite and customer and operational experience. The Strategist should display a deep fraud and process expertise, and to leverage that knowledge to:

                                +

                                • anticipate and explain potential fraud risks associated with strategic initiatives across TD
                                • help design policy, process or strategic changes to enable the bank to safely deliver it’s strategic roadmap
                                • provide deep fraud and process expertise into solving larger, Fraud-driven strategic initiatives
                                • identify emerging fraud trends and develop defenses against emerging and in-market fraud trends
                                • understand and actively managing the operational impacts of our fraud defense strategies
                                • Think horizontally to build and implement solutions that provide value to our Fraud Strategy teams and partners

                                +

                                The successful candidate will work collaboratively with a diverse team of operational agents, Fraud solution developers, data scientists, business insights analysts and subject matter experts and applies fraud business expertise leveraging advanced tools and detection systems to manage risk appropriately. The incumbent will be accountable for loss and customer experience targets.

                                +

                                Accountabilities:
                                Fraud Management
                                • Accountable for fraud loss targets and the customer experience
                                • Reviews daily fraud attacks to create segmentation and develop/implement fraud strategies while balancing the impact to the operational teams and customer experience
                                • Strategizes on adjustments to shifting network rules, liability requirements or other exogenous factors
                                • Owns the strategy design and configuration in all fraud prevention platforms (e.g. Falcon, TSYS, FIS, SQN, PRM, Citadel, DPS, VCas, Avant, Experian, Transunion), in alignment with the Change Management protocols
                                • Supports case valuation and prioritization to optimize fraud management
                                • Are a subject matter expert on the end-to-end operational process, transaction liability and regulatory requirements
                                • Provide ad-hoc analysis to support decision-making at the executive level
                                • Design champion / challenger strategies that lead to ongoing learning and improvement
                                • Expected to leverage that subject matter expertise to independently investigate new, high-risk exposures under very tight timelines
                                • Produce timely diagnostics to identify system, strategy and operational issues
                                • Participates in defect analysis to identify and remediate coverage gaps
                                • Provides end to end fraud cycle support to all strategy teams for advanced technical builds and consultation for continuous improvement
                                • Identify, track, and provide solutions to ongoing fraud vectors and cross-portfolio threats
                                • Think forward and provide early gap mitigation to emerging threat vectors globally
                                Partner Support
                                • Works with business partners to understand new intent, and to identify the incremental fraud risks associated with that intent
                                • Collaborates with business partners to develop solutions that minimize fraud risk while enabling business partners to achieve bank strategic priorities

                                +

                                -

                                What you need to know

                                -
                                  -
                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                • -
                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                • -
                                +

                                Requirements

                                +
                                • Occasionally provides IT release support to ensure projects reliably deliver on fraud requirements
                                • Support the continuous improvement agenda for our operational partners
                                • Maintain strong relationships with internal stakeholders such as Fraud Operations, Internal Business Partners, Vendor Managers etc.
                                • Act as a subject matter expert and represents the team or bank at project meetings or industry forums

                                +

                                Requirements:

                                +

                                • Undergraduate degree from a technical domain (e.g. finance, engineering, mathematics/statistics computer science), preferably from a STEM program
                                • 2+ years’ experience in an analytical capacity
                                • Experience using analytical software tools such as Python, R, SQL, Tableau and Excel for data analysis, automation, and reporting
                                • In-depth knowledge of data science tools such as NumPy, pandas, matplotlib, scikit-learn/TensorFlow/Keras or equivalent
                                • Understanding of machine learning methods with experience in deployment and implementation
                                • Experience with automation tools and proven implementation record
                                • Ability to quickly and independently structure and deliver on new problems not previous tackled by the bank
                                • Demonstrated analytical, modeling and problem solving skills
                                • Creative, Critical, Conceptual thinker, ability to wade through data and arrive at conclusions
                                • Ability to communicate strategy analysis to both technical and non-technical team members, either verbally or via documentation
                                • Ability to take initiative and work independently under tight timelines
                                • Ability to work collaboratively and build relationships
                                • Ability to effectively manage multiple projects and priorities simultaneously
                                • Motivated to constantly strive to find innovative ways to enhance capabilities
                                Preferable
                                • Experience in fraud management is an asset
                                • Knowledge of machine learning is an asset
                                • Automation experience is an asset
                                • Knowledge of fraud detection platforms is an asset
                                • Agile experience is an asset

                                +

                                +

                                Additional Information

                                +
                                #tdcybersecurity #LI-Post

                                +

                                Hours

                                +
                                37.5

                                +

                                Inclusiveness

                                +

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                -

                                -

                                Job Location

                                Toronto-81 Bay, 31st Floor

                                Employment Type

                                Regular

                                -

                                Weekly Hours

                                37.5

                                Skills

                                -

                                Business Intelligence (BI), Business Intelligence Tools, Business Requirements, Microsoft Excel, Structured Query Language (SQL)
                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Consultant--Risk-Business-Intelligence-Office_2225995,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-06-30T10:51:07.785Z,False,0,4,15,https://talenthub.vectorinstitute.ai/jobs/131925286-consultant-risk-business-intelligence-office-at-cibc,,expired,2022-06-16T10:46:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -82c565a3-0ed6-4a2e-9c53-4f2b6dea94cc,129197757,CIBC,"Consultant, Risk Analytics",on_site,"Ontario, Canada",2022-06-02T10:45:08.034Z,"
                                +
                                ",,https://jobs.td.com/en-CA/jobs/15787710/senior-business-insights-analyst-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-27T17:29:07.671Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/189730408-senior-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15787710/senior-business-insights-analyst-markham-ca/,expired,2023-01-24T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +ba138787-cb4f-4c1a-8c63-04d1d22a4930,203166954,CIBC,"Sr. Consultant, Digital Analytics and Optimization",on_site,"Ontario, Canada",2023-03-09T17:06:03.934Z,"

                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                @@ -332295,71 +339792,70 @@ efb25fd1-e2b9-4eaf-b351-1b34c6da587e,131925286,CIBC,"Consultant, Risk Business I

                                What You’ll Be Doing

                                -

                                Enterprise Risk Management (ERM) establishes and provides an independent risk perspective, strategic direction and leadership for various groups in ERM. One of the group is Risk Data Management office whose purpose is to promote and improve the value of risk data as a strategic asset within Risk Management. The core accountability of the Risk Data Management Office (RDMO) is to provide governance and oversight, to support various risk systems, as well as to execute risk data management processes across retail and wholesale credit risk data, market risk and trading credit risk, and operational risk data.

                                +

                                Direct Financial Services (DFS) provides personal and business clients across Canada with direct-to-consumer products and services through strong network of sites and Contact Centers. Lines of business include; CIBC Investor’s Edge, Simplii Financial, and Alternate Solutions Group. You’ll be supporting the Data Analytics and Decision Science Director in the Investor’s Edge (IE) division in providing advanced analytics services to drive digital sales and business results. You’ll lead the design, development, and implementation of actionable analytics solutions which help in strengthening the competitive advantage for IE. You’ll collaborate with sales, marketing, product and operation teams to identify and address business needs by leveraging data and analytics.

                                -

                                As a Consultant, Risk Analytics for Credit Model Performance Monitoring (CMPM) Delivery team, you can partner with Risk Management and Technology stakeholders to document, develop and test scorecards for Financial Crimes Model Performance Monitoring (FCMPM) and Credit Model Performance Monitoring (CMPM). You can also assist in the execution of controls related to the integrity of risk data and conduct ongoing data quality reviews and ensure that new initiatives meet the standards required to support the business unit’s objectives and overall controls. Also the successful candidate can manage the processes and procedures around scorecard development for CMPM/FCMPM and support ongoing user inquiries into scorecard results and triage and resolve any issues as required

                                +

                                At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview

                                -

                                Who You Are

                                +
                                • +

                                  Campaign design and management

                                    -
                                  • -You have a graduate degree in Finance or STEM undergraduate degree. Exposure to machine learning coursework (Math, Data Analytics, Economics, Finance, Data Science) will be an asset.
                                  • -
                                  • -You have experience in Data Analysis tools (SQL, SAS EG, Hadoop, Netezza)
                                  • -
                                  • -You can demonstrate experience in building scorecards and dashboards for AML and Credit Risk monitoring. You have good coding skills, and have used SQL to extract and transform data for the purpose of producing reports for internal and external use
                                  • -
                                  • -You give meaning to data. You enjoy investigating complex problems, and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way.
                                  • -
                                  • -You have a key eye for Attention to detail as this position involves working with data, including validation of certain input data and verification of results.
                                  • -
                                  • -You have good knowledge of risk management terminology and principles. Experience in process improvement and project application development lifecycle
                                  • -
                                  • -You are familiar with relational databases and solid knowledge of database concepts.
                                  • -
                                  • -You can demonstrate excellent organizational and time management skills: ability to simultaneously manage multiple tasks and conflicting demands within time constraints with minimal supervision and effectively prioritize workload
                                  • -
                                  • -You are Flexible and have the ability to adapt to constantly evolving system, product and methodology changes
                                  • -
                                  • -You will ensure the you have the expertise in identification of metrics, thresholds and business rules for measuring data quality (i.e. accuracy, integrity, completeness, timeliness, latency and coverage)
                                  • -
                                  • -You will prepare and communicate insightful analysis including, variance analyses and risk performance.
                                  • -
                                  • -You understand that success is in the details. You notice things that others don\'t. Your critical thinking skills help to inform your decision making.
                                  • -
                                  • -You are skillful in evaluating complex data relationships and developing fact based reports and presentations on the knowledge gained from the analysis; being able to generate insights and recommend solutions to problems and present the outcomes.
                                  • -
                                  • -You act like an owner. You thrive when you\'re empowered to take the lead, go above and beyond, and deliver results.
                                  • -
                                  • -You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do.
                                  • +
                                  • Responsible for pre-campaign analysis, understanding key customer journeys and segments across digital channels to provide recommendations on how to personalize and optimize cross channel strategy to improve customer engagement and drive sales.

                                  • +
                                  • Identify new digital sales opportunities to address current or potential sales gaps.

                                  • +
                                  • Responsible for in-campaign analysis, analyzing the effectiveness of marketing campaigns by monitoring E2E campaign activities daily.

                                  • +
                                  • Frequently liaise with key partners and peers to understand campaign requirements, provide expertise on proper experiment design, determine key performance indicators, collect and analyze data..

                                  • +
                                  • Work with peers and technology teams to design post-campaign marketing performance reporting. Communicate insights and recommendations to improve campaign effectiveness.

                                  • +
                                  +
                                +
                                • +

                                  Customer segmentation and Predictive modeling

                                  +
                                    +
                                  • Utilize expertise in Statistical and Machine Learning to develop models for customer segmentation and targeted marketing campaigns.

                                  • +
                                  • Mine and analyze data from company databases and provide insights to drive optimization of product development, marketing techniques and business strategies.

                                  • +
                                  +
                                +
                                • +

                                  Digital Analytics & Business Insights

                                  +
                                    +
                                  • Actively lead the development, delivery, and continuous improvement of complex data analytics and visualization solutions.

                                  • +
                                  • Prepare presentations that clearly and concisely communicate key findings and objectives.

                                  • +
                                  +
                                +
                                • +

                                  Data Management

                                  +
                                    +
                                  • Work collaboratively with partners to augment/acquire internal and external data and tools. Contribute to the development and management of data sourcing process.

                                  • +
                                  • Perform data exploration and integration. Ensure the accuracy and integrity of data.

                                  • +
                                  • Develop strategies that ensure data accuracy, consistency, timely capture and standardization at the various levels.

                                  • +
                                  • Design solutions to support optimization and automation of processes and reporting.

                                  +

                                How You’ll Succeed

                                  -
                                • -You exhibit CIBC’s values of trust, team work, and accountability
                                • -
                                • -You will frequently liaise with other departments to establish collaborative relationships, provide expertise, and communicate forecasting estimates.
                                • -
                                • -You will be responsible for data-driven forecasts that enhance efficiency and predictability.
                                • -
                                • -You are keen in problem solving
                                • -
                                • -You process good writing and visual presentation skills sufficient to articulate the results of analysis performed
                                • -
                                • -You have well-developed communication skills to facilitate development of good working relationships within CIBC
                                • -
                                • -You are able to execute job functions with minimal supervision
                                • +
                                • Data Science Expertise: Provide advanced analytics solutions to solve business problem leveraging traditional statistical, machine learning and optimization techniques. Ability to conduct self-directed research, typically using non-traditional resources to solve business problems.

                                • +
                                • Business Consulting: Conduct business problem assessment independently. Gather relevant information related to business processes, functions and operations to evaluate data credibility and quality. Utilize creative thinking to modify or select the most suitable procedure/approach to solve a business problem. Perform in-depth analysis for the purpose of identifying revenue generating and cost saving opportunities, developing proposals and make recommendations for model usage to the downstream partners.

                                • +
                                • Innovative Problem Solving – Actively lead the development, delivery, and continuous improvement of complex data analytics and visualization solutions. Focus on quality, depth of analysis, and clear communication of actionable recommendations.

                                • +
                                • Collaboration – Continuous collaboration with internal and external partners is key to success. Be open-minded, constantly acquire new knowledge, and share ideas to improve existing processes.

                                -

                                What CIBC Offers

                                +

                                Who You Are

                                +
                                  +
                                • You can demonstrate experience in working with large datasets including both structured and unstructured data and related tools (e.g., SQL, Hive, Spark). Must have experience coding in high level programming languages such as Python, SAS or Spark.

                                • +
                                • You’re a certified professional. You have current accreditation and good standing in Computer Science, Engineering, Mathematics, Statistics, Operational Research, Physics, Economics or related quantitative field.

                                • +
                                • You\'re digitally savvy. You have technical knowledge specific to digital marketing & analytics, you seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends. Experience with Adobe Analytics and funnel would be an asset. Strong analytic skills including a track record of making recommendations based on data driven business insights. Working knowledge of marketing optimization tools and are proficient in using them to drive owned onsite digital campaign performance.

                                • +
                                • You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

                                • +
                                • Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

                                • +

                                -

                                At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                                +

                                What CIBC offers

                                +

                                +

                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                  -
                                • Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
                                • -
                                • Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity
                                • -
                                • Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning, and comprehensive product training
                                • -
                                • Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan
                                • +
                                • We work to recognize you in meaningful, personalized ways including a competitive base salary, commission, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program

                                • +
                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients

                                • +
                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development

                                +

                                What you need to know

                                  @@ -332371,125 +339867,369 @@ efb25fd1-e2b9-4eaf-b351-1b34c6da587e,131925286,CIBC,"Consultant, Risk Business I

                                  -

                                  Job Location

                                  Toronto-81 Bay, 31st Floor

                                  Employment Type

                                  Regular

                                  +

                                  Job Location

                                  Toronto-81 Bay, 16th Floor

                                  Employment Type

                                  Regular

                                  Weekly Hours

                                  37.5

                                  Skills

                                  -

                                  Cloudera Hadoop, IBM Netezza, Microsoft Azure, SAS BI, Structured Query Language (SQL)
                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Consultant--Risk-Analytics_2218846,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-07-06T19:24:21.258Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/129197757-consultant-risk-analytics-at-cibc,,expired,2022-06-02T10:45:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -942e223f-ae2b-427f-9c85-aca79031e453,137619797,Borealis AI,Machine Learning Researcher,on_site,"Ontario, Canada",2022-07-16T21:46:02.964Z,"
                                -

                                What\'s the opportunity?

                                -

                                As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                                +

                                Strategic Objectives
                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Consultant--Digital-Analytics-and-Optimization_2303750?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-03-23T17:11:03.431Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/203166954-sr-consultant-digital-analytics-and-optimization-at-cibc,,expired,2023-03-09T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +c6d3b50b-850f-47b4-b03a-76243e7bc2d4,204324016,CN,Expert Data Developer,on_site,"Ontario, Canada",2023-03-13T17:42:03.305Z,"
                                +

                                +
                                At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!
                                +

                                +
                                Job Summary
                                +
                                +

                                The Expert, Data Developer is responsible for building, handling, and optimizing data pipelines. The role moves them effectively into production for key data and analytics consumers, shapes the enterprise Data as a Service (DaaS) model and delivers on Information and Technology (I&T) business models. The incumbent develops best practices and optimizes data pipelines to deliver products and services aligned with business expectations. Moreover, the position plays a pivotal role in operationalizing data and analytics initiatives, defining and building CN’s data integration and DaaS platform roadmap.

                                Main Responsibilities

                                Data Development

                                · Ensure optimal data delivery architecture and processes are consistent throughout ongoing projects

                                · Optimize CN’s data architecture to support the next generation of products and data initiatives

                                · Build, handle, and optimize data pipelines, moving them effectively into production for key data and analytics consumers

                                · Build data and domain event models, implement business rules, and scalable data pipelines

                                · Ensure compliance with data governance and security requirements while creating, improving, and operationalizing integrated and reusable data pipelines

                                · Enable faster data access, integrate data reuse, and improve time-to-solution for data and analytics initiatives

                                · Integrate analytics and data science results with business processes

                                · Promote effective data management practices

                                · Collaborate with Data Science, Reporting, Analytics, and other Development teams to build data pipelines, infrastructure, and tooling to support business initiatives

                                · Oversee the design and maintenance of data pipelines and contribute to the continual enhancement of the data development architecture

                                · Collaborate with the team to meet performance, scalability, and reliability goals

                                · Maintain and expand existing systems, tooling, and infrastructure

                                · Design and develop Exact, Transfer and Load (ETL) pipelines using multiple sources of data in various formats and deploy them to achieve a high-level of reliability, scalability, and security

                                Data Design

                                · Collaborate with stakeholders and architects to model data landscape and define secure data exchange approaches

                                · Meet with stakeholders to identify fit-for-purpose within CN’s existing data ecosystem and deliver options and agile solutions

                                · Design and develop processing pipelines that ingest data into the Data Platforms

                                · Expose the data into meaningful formats so that it can be easily consumed

                                · Provide day-to-day support and technical expertise to both technical and
                                non-technical teams

                                · Participate in building data development expertise and framework

                                · Translate business needs into technical requirements

                                Data Operations and Quality Assurance

                                · Use Agile methodologies and development practices to streamline project delivery aligned with goals, timelines, and budgets and for code reviews and testing to develop and deliver data pipelines

                                · Build monitoring and debugging tools to analyze data pipelines

                                · Help unify software development and operations seamlessly, efficiently, and cost effectively

                                · Improve software quality, automate processes, and accelerate software releases

                                · Develop and implement test plans and scripts for various data quality processes

                                · Maintain manual and automated test scripts

                                Working Conditions

                                The role has standard working conditions in an office environment with a regular workweek from Monday to Friday and is eligible to participate in CN’s flexible work from home policy. Due to the nature of the role, the incumbent must be able to meet tight deadlines, handle pressure, and stress.

                                Requirements

                                Experience

                                Data Development

                                · Minimum 10 years of overall work experience

                                · Minimum 5 years demonstrating technical leadership qualities or overseeing deliverables

                                · Minimum 7 years of experience in a data development role, working in different data management disciplines including data integration, modelling, optimization and quality

                                o Experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental or multi-departmental data management and analytics initiative

                                Education/Certification/Designation

                                · Bachelor\'s Degree in Computer Science, Electrical Development or Software Development

                                · Master’s Degree or Doctor of Philosophy in Data Management, Data Analytics, Information Systems, or a related quantitative field*

                                · Professional Engineer (P.Eng.) Degree*

                                · Google or Azure Data Development certification*

                                *Any designation for these above would be considered as an asset

                                Competencies

                                · Inspires others with impactful communications and adapts to the audience through speech and writing

                                · Applies analytical thinking

                                · Innovates through problem solving

                                · Knows the business and stays current with industry trends to elevate expertise and work

                                · Demonstrates organizational abilities

                                · Collaborates with key internal stakeholders to enable higher productivity

                                · Works independently with little supervision

                                Technical Skills/Knowledge

                                · Knowledge of Scala, Java or Python

                                · Knowledge of software development best practices such as code reviews, testing frameworks, maintainability, and readability

                                · Knowledge of Big Data technologies and cloud platforms such as Databricks, Apache Spark, Azure Data Factory, Azure Data Explorer, Azure Data Lake, Google BigQuery, Google Dataproc, Google Cloud Data Fusion, Google Dataflow, Google Cloud Composer, Google, Dataprep, Google Dataplex, Google BigLake, Google Vertex

                                · Knowledge of event-driven architecture (e.g., Pub-Sub, Kafka, Message Queuing (MQ), Message Queuing Telemetry Transport (MQTT), Advanced Message Queuing Protocol (AMQP), Event Hub, Logstash)

                                · Knowledge of Linux and shell scripting

                                · Knowledge of multiple database technologies such as Distributed Processing (i.e., Spark, Hadoop), traditional Rational Database Management Systems (RDBMS) (i.e., Oracle, Database 2 (DB2), PostgreSQL), Non-Structured Query Language (NoSQL) (i.e., MongoDB, FireBase)

                                · Knowledge of Development Operations (DevOps) and Azure DevOps for Continuous Integration (CI) and Continuous Deployment (CD) Data Pipelines

                                +
                                +

                                +

                                +
                                About CN
                                +

                                +
                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.
                                +

                                +
                                For internal candidates, note that the grade level of the position will depend on the employee\'s experience.
                                +

                                +

                                +

                                +

                                +

                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                +
                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/10221?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-03-23T17:47:05.045Z,False,0,0,8,https://talenthub.vectorinstitute.ai/jobs/204324016-expert-data-developer-at-cn,,expired,2023-03-13T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, +8e3264d7-130d-4496-b2cb-1c86eaf7ea2d,204323264,TD Bank Group,"Senior Manager, Analytics & Insights",on_site,"Toronto, ON",2023-03-13T17:24:02.727Z,"
                                +

                                Company Overview

                                +
                                +

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                +

                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                +
                                +

                                +

                                Department Overview

                                +
                                +

                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                +

                                We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                +
                                +

                                +

                                Job Description

                                +
                                +

                                About this Role

                                +

                                You’ll take the helm of a diverse, inclusive and collaborative group of highly skilled analysts that own reporting, insights and forecasting function for Canadian Fraud Performance Management. The Senior Manager reconciles and condenses/summarizes numerous metrics for our Executives and partners. As a leader with vision and key representative of your team, you’ll bring your talent for relationship-building to the fore, working closely with business owners and other business partners. You’ll work together to master their business objectives then identify their data and information needs and opportunities for adding value to the business. From there, you will oversee the development of ongoing analytics projects and initiatives, using your vast expertise to walk them through the process and provide ongoing support. Most importantly, your leadership inspires leadership in others, as well as the drive to execute with speed and precision and help bring TD into the future of business.

                                +

                                +

                                TD’s Fraud Strategy team is undergoing transformational change to become global market leaders. Come and lead this journey.

                                +

                                +

                                As a Senior Manager, Forecasting, Reporting and Insights you will:

                                +
                                  +
                                • Oversee and lead a large and/or highly complex, and diverse analytics function for an area of significant risk, complexity or scope
                                • +
                                • Strategically partner with leadership teams on the management of the portfolio and financials, with deep industry, external/internal, enterprise knowledge, recognizing and anticipating emerging trends and; identifying operational efficiencies and opportunities with other business management /enterprise areas
                                • +
                                • Act as a “Single Point of contact’ for key Analytics initiatives including partnering with analytics teams and enterprise data and analytics capabilities
                                • +
                                • Act as analytics expert on advanced analytics projects, challenging analytical thinking and methodology
                                • +
                                • Facilitate key strategic discussions and provide thought leadership to executive audience (output may include strategic roadmap and/or deliverables/frameworks/short to long term goals etc.)
                                • +
                                • Set operational team direction and partner to execute on common goals
                                • +
                                • Manage teams of Business Insights & Analytics professionals/specialists
                                • +
                                • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                                • +
                                • Manage raised client issues or priorities and contact appropriate areas to resolve or minimize business problems/issues
                                • +
                                • Apply judgement, discretion and collaborate with internal partners to navigate and resolve ambiguous issues
                                • +
                                • Review and craft the presentation of insights for executive leaders/business partners to drive strategic improvement
                                • +
                                • Collaborate with business partners to shape and prioritize ad hoc analysis
                                • +
                                • Use data systems and various sources to ensure team is equipped to formulate well-defined solutions to solve business problems
                                • +
                                • Ensure team uses knowledge of data capabilities across the organization to build and deliver on business analytics and insights
                                • +
                                • Oversee the development, testing and ongoing analysis for a business line or functional area employing both internal and external data from various sources
                                • +
                                • Manage workload of analytics team; assigning data request to staff based on skills and development needs
                                • +
                                • Build understanding of big data and advanced analytics capability
                                • +
                                • Identify and articulate key LOB analytic needs and assist in accelerating their delivery
                                • +
                                • Oversee strategies to attract, motivate and retain a highly diverse, qualified and engaged team to fulfill current and future business needs, creating and sustaining a high performing inclusive culture
                                • +
                                +
                                +

                                +

                                Requirements

                                +
                                +

                                What can you bring to TD?

                                +

                                Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                +

                                Education & Experience:

                                +
                                  +
                                • Ten (10) or more years relevant experience
                                • +
                                • Bachelor’s degree in a numerate discipline (e.g. Statistics, Business) required
                                • +
                                • Master’s degree in a numerate discipline (e.g. Statistics, Business) preferred
                                • +
                                • Programming and databases knowledge, ability to process and analyze large volumes of data
                                • +
                                • Background in reporting automation through BI tools like Tableau, Power BI, Hyperion, etc
                                • +
                                • Strong leadership and general management skills in overseeing a team and working collaboratively across functions
                                • +
                                • A high level of integrity, earning the respect and trust of her/his peer group and employees
                                • +
                                • Ability to communicate strategy analysis to both technical and non-technical team members, either verbally or via documentation
                                • +
                                • Conceptual thinker, ability to wade through data and arrive at conclusions
                                • +
                                • Demonstrated analytical, financial modeling and problem-solving skills
                                • +
                                • Solid understanding of Retail Products and Channels
                                • +
                                +

                                What will set you apart:

                                +
                                  +
                                • Background in Fraud
                                • +
                                • Reporting automation experience
                                • +
                                • Knowledge of TD Finance system an asset
                                • +
                                • Tools: SQL, Hyperion, Tableau, Power BI, Azure
                                • +
                                +

                                +

                                Employee/Team Accountabilities:

                                +
                                  +
                                • Sets appropriate context for the business unit/function to enable optimal performance and alignment to strategy
                                • +
                                • Supports the creation of goals and objectives for the business unit/function; Communicates those goals and objectives to the team
                                • +
                                • Builds capability support / executes plans to acquire, develop and retain the diverse teams with the skills and experience necessary to realize on current and future business strategies
                                • +
                                • Role-models behaviors consistent with TD’s leadership profile, customer and employee experience agendas and risk and control culture
                                • +
                                • Creates an extraordinary place to work advance and sustain a unique, inclusive culture that reflects TD’s diversity agenda, and creates an extraordinary employee experience
                                • +
                                • Leads, coaches and develops a highly effective team by ensuring ongoing training and performance and development management
                                • +
                                +
                                +

                                +

                                Additional Information

                                +
                                #tdcybersecurity #LI-Post
                                +

                                +

                                Hours

                                +
                                37.5
                                +

                                +

                                Inclusiveness

                                +

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                +

                                +
                                ",,https://jobs.td.com/en-CA/jobs/16760342/senior-manager-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-23T17:29:03.304Z,False,0,1,14,https://talenthub.vectorinstitute.ai/jobs/204323264-senior-manager-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16760342/senior-manager-analytics-insights-toronto-ca/,expired,2023-03-13T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +502b6975-1c21-44ad-ace7-0a73593e79b3,206569868,NVIDIA,Research Scientist Intern - PhD Program,on_site,"Ontario, Canada",2023-03-20T17:42:03.659Z,"
                                +

                                NVIDIA is searching for world-class interns to join our growing software architecture team. The ideal candidate will be conducting cutting-edge research at the intersection of Networking, Security, and Communications, and working alongside top experts in these fields. With incredible resources in networking, you will be able to impact, contribute and advance these exiting domains. Topics include but are not limited to remote direct memory access, hardware offloading and hardware acceleration, AI for networking and security, storage management, cryptography accelerators and architecture. With its unique open culture, NVIDIA is one of the best industry labs to do Accelerated Computing research.

                                +

                                +

                                DPU Data-Processing Units are the smallest form of a data centre, and provide the foundation to implement accelerated computing, where both processing and networking experience a performance boost through the utilization of dedicated processors. DPUs started out as the engine for accelerated networking, but now they can run AI inference and training on-board, deep packet inspection and cryptography accelerations among others thanks to onboard CPU and GPU processors. The path to harvest all processing power of DPUs is encapsulated on the DOCA software development kit, which contain all industry-standards that enable application developers to build up amazing network applications.

                                +

                                +

                                This position will be placed with an academic collaborator; either in Denmark (AAU Copenhagen) or the Netherlands (TUE Eindhoven).

                                +

                                +

                                Candidates will first undergo 18 months of academic training and then join NVIDIA as Research Scientist Intern for the next 18 months (either in Denmark or Germany). Both parts of the PhD Program, academic as well as industrial, are paid. The scholarship is highly competitive.

                                +

                                +

                                What you’ll be doing:

                                +
                                  +
                                • Gain hands on experience with designing and implementing services and applications with DPU DOCA SDK

                                • +
                                • Learn about security subsystems and systems for networking

                                • +
                                • Partner and collaborate with other forward-thinking team members and external researchers

                                • +
                                • Have the opportunity to participate and speak at conferences and events

                                • +
                                • Publish original research

                                • +
                                • Work with intelligent networking machines powered by AI systems that can learn, reason and interact with other network components

                                • +
                                +

                                +

                                What we need to see:

                                +
                                  +
                                • Graduated with a Master’s in Electrical Engineering, Computer, Science/Engineering, Math/Physics/Statistics or a related field

                                • +
                                • Knowledge of common security and cryptography frameworks in the context of networking

                                • +
                                • Track record of research excellence

                                • +
                                • Good communications skills

                                • +
                                • Please include your internship availability in your application

                                • +
                                +

                                +

                                NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our Software Architecture Team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.​

                                +

                                +

                                +

                                +

                                +
                                ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Denmark-Roskilde/Research-Scientist-Intern---PhD-Program_JR1962440,feed-importer@jobboard.io,,,,2023-03-23T17:47:05.045Z,False,0,6,41,https://talenthub.vectorinstitute.ai/jobs/206569868-research-scientist-intern-phd-program-at-nvidia,,expired,2023-03-20T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Product Development),Internship/Co-op,Masters Degree,New Posting, +160f9021-b5cb-4367-9436-af87b634233a,205044403,Bell Canada,Product Manager - Artificial Intelligence,on_site,"Toronto, Ontario",2023-03-15T17:21:04.079Z,"

                                Req Id: 407636

                                +

                                +

                                At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we advance how Canadians connect with each other and the world.

                                +

                                +

                                If you’re ready to bring game-changing ideas to life and join a community that values, professional growth and employee wellness, we want you on the Bell team.

                                +

                                Bell’s forward-thinking Customer Operations team is creating the ultimate service experience for our residential, wireless and small business consumers. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive service enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.

                                -

                                Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                                -
                                -

                                Your responsibilities include:

                                +
                                +
                                +

                                Short Description

                                +
                                +
                                +

                                Reporting to the Senior Manager, Advanced Analytics, the ideal candidate is accountable for the successful planning, design, and implementation of Machine Learning programs and/or projects that help Bell deliver a best in class customer experience. The successful candidate will work closely with cross-functional teams across Field Services, IT and other Business Units to implement programs that will positively impact our operations by improving the technician/customer experience and supporting processes.

                                +

                                The AI Project Manager, Field Services must also anticipate end-to-end impacts including understanding the core of the problem we’re trying to solve, defining business requirements, quantifying financial benefits and leading change across the organization via collaboration with peers. This individual requires solid project management and problem solving skills with the ability to manage deliverable execution by leveraging standard project management concepts and tools. This individual should be eager to learn the business teams, tools and processes to better execute their program.

                                +
                                +
                                +
                                +
                                +

                                Key Responsibilites

                                +
                                  -
                                • Developing novel AI solutions that facilitate impactful products;
                                • -
                                • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                                • -
                                • Working with the development team to transfer research work into production;
                                • -
                                • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                                • -
                                • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                                • +
                                • Lead, plan, organize and implement the design and delivery of Field Services Machine Learning projects
                                • +
                                • Effectively engage, lead and influence cross-functional teams to deliver highest level of quality on all projects within committed timeline and scope, and meeting all project requirements and deliverables.
                                • +
                                • Develop project business case, scope, schedule & all relevant project documentation
                                • +
                                • Actively lead the creation of business cases and financial forecasts to prove the viability of new initiatives, including data collection and analysis, process mapping and redesign, and potential operational efficiencies.
                                • +
                                • Engage and build strong relationships with project sponsors and stakeholders to incorporate their goals, and instill confidence to ensure alignment to and adoption of solutions.
                                • +
                                • Work with data scientists and analyst to develop solutions that address the business problem at hand
                                • +
                                • Track project and model performance using appropriate KPIs, metrics and techniques
                                • +
                                • Own strategic initiatives that impact all of Field Services including
                                • +
                                • Establishing the process, tools, and resources required to build out the governance model of an initiative
                                • +
                                • Set the strategic vision & initiate projects that drive meaningful impacts to the business
                                -
                                -

                                You’re our ideal candidate if you have:

                                +
                                +
                                +

                                Critical Qualifications

                                +
                                  -
                                • A passion for solving open problems using data and algorithms;
                                • -
                                • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                                • -
                                • Ability to formulate and drive a research project independently without close supervision;
                                • -
                                • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                                • +
                                • A university degree in a business or technical fields such as computer science, computer engineering, commerce, business management or related field
                                • +
                                • Proven leadership and influencing skills, with the ability to get things done while managing various stakeholders
                                • +
                                • Strategic and creative thinker who is exceptionally adept with quantitative and qualitative analyses
                                • +
                                • Strong analytical skills with experience in developing & managing business requirements
                                • +
                                • Project / program management skills & experience
                                • +
                                • Familiarity with machine learning and artificial intelligence concepts
                                • +
                                • Energetic self-starter who thrives in a fast-paced environment with ability to work under pressure
                                • +
                                • Authentic, professional and confident communicator. Able to influence project teams and stakeholders through effective communication and presentation skills to all levels of the organization
                                • +
                                • Strong MS Office skills, particularly Excel and PowerPoint
                                -
                                -

                                What’s in it for you?

                                +
                                +
                                +

                                Preferred Qualifications

                                +
                                  -
                                • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                • -
                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                • -
                                • Leaders who support your development through coaching and managing opportunities;
                                • -
                                • Ability to make a difference and lasting impact from a local-to-global scale.
                                • +
                                • PMP, PRINCE2 or Agile certification is an asset
                                • +
                                • Field Services experience is an asset
                                • +
                                • Technical Network experience is an asset
                                -

                                About Borealis AI

                                +

                                #Indeed #Tech #Technology #Talent #PMP #Network #PM #ProjectManager #AI #ArtificialIntelligence #MachineLearning #ProjectManagement

                                +
                                -

                                Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                -

                                Inclusion and Equal Opportunity Employment

                                -

                                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                -

                                ",,https://www.borealisai.com/en/careers/employment/5409806002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-07-18T21:51:05.864Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/137619797-machine-learning-researcher-at-borealis-ai,,expired,2022-07-16T21:46:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,Re-Posting an Expired Job, -a4dfec8e-268e-405b-8f55-e8d002acacff,132558474,TELUS,Data Scientist,on_site,"Ontario, Canada",2022-06-19T07:35:02.952Z,"
                                -
                                -

                                Description

                                -
                                -


                                Join our team and what we\'ll accomplish together

                                -

                                The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high quality data, and a data-product oriented culture while always keeping an eye on the horizon, preparing for the next big thing.

                                -


                                We are entrepreneurial, and live by our AI Manifesto of failing fast and being outcome vs technology driven, creating value for our customers, team members, communities, and the environment. The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web-visualizations, we do it all!

                                -


                                Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

                                -

                                You’ll be a part of the team and journey that will transform the way we do business across various domains. You’ll collaborate with teams across the company, seeking out various data sources to help identify new business opportunities while championing data driven decision making and the accelerated adoption of AI. As a Data Scientist on the team, you will combine your expert knowledge of data science with your strong software development skills to automate and facilitate data exploration, analytics, machine learning model development, training and deployment and will leverage your experience in building reusable algorithms, functions and libraries.

                                -


                                Here\'s how

                                +

                                #EmployeeReferralProgram

                                +

                                +

                                Adequate knowledge of French is required for positions in Quebec.

                                +

                                +

                                Additional Information:

                                +

                                Position Type: Management
                                Job Status:
                                Regular - Full Time
                                Job Location:
                                Canada : Ontario : Toronto
                                Flexible work profile:
                                Mobile
                                Application Deadline: 03/19/2023

                                +

                                +

                                All team members are expected to reside in Canada and within a reasonable commuting distance from their work location to ensure that they are able to come to the office as required, whether the visit is planned or unplanned.

                                +


                                Please apply directly online to be considered for this role. Applications through email will not be accepted.

                                +

                                +

                                At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                                +

                                +

                                Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                                +

                                +

                                Created: Canada, ON, Toronto

                                +

                                Bell, one of Canada's Top 100 Employers.

                                ",,https://jobs.bell.ca/ca/en/job/BECACA407636EXTERNALENCA/Product-Manager-Artificial-Intelligence?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2023-03-20T17:26:03.898Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/205044403-product-manager-artificial-intelligence-at-bell-canada,BECACA407636EXTERNALENCA,expired,2023-03-15T17:21:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Manager,Bachelors Degree,New Posting, +5120a1ba-5c01-4d78-8730-3835db149e47,205616309,RBC,"Director, Pricing and Analytics, RBC Direct Investing",on_site,"Toronto, ON, Canada",2023-03-17T17:16:02.488Z,"
                                +

                                Come Work with Us!

                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                +

                                Job Title

                                Director, Pricing and Analytics, RBC Direct Investing

                                +

                                +

                                Job Description

                                +

                                What is the opportunity?

                                +

                                RBC Direct Investing is RBC’s discount brokerage offering industry-leading tools and research to help clients pick the right investments, place trades quickly and track how they are doing. As Director of Pricing and Analytics, you will lead the team responsible for designing pricing strategies and delivering deep insight to identify opportunities, deepen our understanding of client segments and develop our business strategy. You will lead a team of two and be responsible for their professional development, as well as their efforts to help us delve deeper into our portfolio and manage pricing strategies that help us to balance profitably with client acquisition.

                                +

                                +

                                What will you do?

                                  -
                                • Lead the iterative development, validation, and deployment of AI/ML models
                                • -
                                • Collaborate on end-to-end automation efforts required to bring models to production
                                • -
                                • Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
                                • -
                                • Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
                                • -
                                • Influence how we approach business challenges and opportunities by driving the adoption of a data driven mindset
                                • -
                                • Develop re-usable code aimed at delivering on future goals faster and more reliably
                                • -
                                • Support and evolve the Advanced Analytics and Data Science roadmap by leveraging industry research, best practices and emerging tools/technology
                                • -
                                • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
                                • +
                                • Develop and manage pricing strategies for RBC Direct Investing
                                • +
                                • Leverage data analytics to deliver deep insights about the client base
                                • +
                                • Work with stakeholders across the business to deliver business intelligence and pricing guidance
                                • +
                                • Develop and manage key reporting for business management, sales and marketing performance and other management priorities
                                • +
                                • Lead a team of two direct reports and invest in their professional development
                                -
                                -
                                -
                                -

                                Qualifications

                                -
                                -


                                What you bring

                                -

                                +

                                +

                                What do you need to succeed?

                                +

                                +

                                Must-have:

                                  -
                                • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
                                • -
                                • You are sought out for your skills in Machine Learning and AI, including regression, classification, clustering, time series analysis, NLP, and optimization and bring 2 to 5 years of hands-on work and practical business experience in the above areas
                                • -
                                • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences
                                • -
                                • You have solid development experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras and have applied these skills towards solving actual business matters
                                • -
                                • You are comfortable in and with a Jupyter environment and infrastructure, and familiar with GitHub
                                • -
                                • You possess advanced knowledge in SQL and distributed computing
                                • -
                                • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
                                • -
                                • You are well versed in software and AI development lifecycles, including ML Ops
                                • -
                                • You are agile and have a bias for action, removing roadblocks to get results fast
                                • +
                                • Undergraduate degree in business, finance, or related discipline
                                • +
                                • 5+ years of relevant experience conducting pricing analytics and managing pricing strategy or comparable analytical and strategy functions
                                • +
                                • Strong communication, negotiation and people skills
                                • +
                                • Strong understanding of financial services economics and P&L drivers
                                • +
                                • Demonstrated critical thinking capabilities
                                • +
                                +

                                +

                                Nice to have:

                                +
                                  +
                                • Experience in the securities industry, particularly at a discount brokerage
                                • +
                                • Proficiency with SQL, SAS or other analytical tools
                                • +
                                +

                                +

                                What’s in it for you?

                                +

                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                +
                                  +
                                • Ability to make a difference and lasting impact
                                • +
                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                • +
                                • Opportunities to do challenging work
                                +

                                +

                                +

                                Job Summary

                                +

                                Address:

                                TORONTO, Ontario, Canada

                                City:

                                CAN-ON-TORONTO

                                Country:

                                Canada

                                Work hours/week:

                                37.5

                                Employment Type:

                                Full time

                                Platform:

                                Personal and Commercial Banking

                                Job Type:

                                Regular

                                Pay Type:

                                Salaried

                                Posted Date:

                                2023-03-08-08:00

                                Application Deadline:

                                2023-03-17-07:00
                                +

                                Inclusion and Equal Opportunity Employment

                                +

                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                ​​​​​​​
                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                +
                                +

                                Join our Talent Community

                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                +
                                ",,https://jobs.rbc.com/ca/en/job/R-0000052277/Director-Pricing-and-Analytics-RBC-Direct-Investing,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-03-21T14:50:00.000Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/205616309-director-pricing-and-analytics-rbc-direct-investing-at-rbc,,expired,2023-03-17T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, +9af7b2ac-4f48-4981-b247-93216a704bea,204324013,CN,"Specialist, Data Developer",on_site,"Ontario, Canada",2023-03-13T17:42:03.147Z,"
                                +

                                +

                                At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                Job Summary

                                The Specialist, Data Developer is responsible for building, handling, and optimizing data pipelines. The role moves them effectively into production for key data and analytics consumers, shapes the enterprise Data as a Service (DaaS) model and delivers on Information and Technology (I&T) business models. Moreover, the incumbent develops best practices and optimizes data pipelines to deliver products and services aligned with business expectations. The position plays a pivotal role in operationalizing data and analytics initiatives, defining and building CN’s data integration and DaaS platform roadmap.

                                Main Responsibilities

                                Data Development

                                · Ensure optimal data delivery architecture and processes are consistent throughout ongoing projects

                                · Optimize CN’s data architecture to support the next generation of products and data initiatives

                                · Build, handle, and optimize data pipelines, moving them effectively into production for key data and analytics consumers

                                · Build data and domain event models, implement business rules, and scalable data pipelines

                                · Ensure compliance with data governance and security requirements while creating, improving, and operationalizing integrated and reusable data pipelines

                                · Enable faster data access, integrate data reuse, and improve time-to-solution for data and analytics initiatives

                                · Integrate analytics and data science results with business processes

                                · Promote effective data management practices

                                · Collaborate with Data Science, Reporting, Analytics and other Development teams to build data pipelines, infrastructure and tooling to support business initiatives

                                · Design and develop Exact, Transfer and Load (ETL) pipelines using multiple sources of data in various formats and deploy them to achieve a high-level of reliability, scalability, and security

                                Data Design

                                · Collaborate with stakeholders and architects to model data landscape and define secure data exchange approaches

                                · Meet with stakeholders to identify fit-for-purpose within CN’s existing data ecosystem and deliver options and agile solutions

                                · Design and develop processing pipelines that ingest data into Data Hubs

                                · Provide day-to-day support and technical expertise to both technical and
                                non-technical teams

                                · Participate in building data development expertise and framework

                                · Translate business needs into technical requirements

                                Data Operations and Quality Assurance

                                · Use Agile methodologies and development practices to streamline project delivery aligned with goals, timelines, and budgets and for code reviews and testing to develop and deliver data pipelines

                                · Build monitoring and debugging tools to analyze data pipelines

                                · Help unify software development and operations seamlessly, efficiently, and cost effectively

                                · Improve software quality, automate processes, and accelerate software releases

                                · Develop and implement test plans and scripts for various data quality processes

                                · Maintain manual and automated test scripts

                                Working Conditions

                                The role has standard working conditions in an office environment with a regular workweek from Monday to Friday and is eligible to participate in CN’s flexible work from home policy. Due to the nature of the role, the incumbent must be able to meet tight deadlines, handle pressure, and stress.

                                Requirements

                                Experience

                                Data Development

                                · Minimum 5 years overall work experience

                                · Minimum 3 years of experience in a Data Development role, working in different data management disciplines including data integration, modelling, optimization, and quality

                                o Experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental or multi-departmental data management and analytics initiative

                                o Experience in translating business requirements into advanced data models able to fulfill Analysts and Data Scientists’ requirements

                                o Experience working in an Agile team environment

                                Education/Certification/Designation

                                · Bachelor\'s Degree in Computer Science, Electrical Development or Software Development

                                · Google or Azure Data Development certification*

                                *Any designation for these above would be considered as an asset

                                Competencies

                                · Inspires others with impactful communications and adapts to the audience through speech and writing

                                · Applies analytical thinking

                                · Innovates through problem solving

                                · Knows the business and stays current with industry trends to elevate expertise and work

                                · Demonstrates organizational abilities

                                · Collaborates with key internal stakeholders to enable higher productivity

                                · Works independently with little supervision

                                Technical Skills/Knowledge

                                · Knowledge of Scala, Java or Python

                                · Knowledge of software development best practices such as code reviews, testing frameworks, maintainability, and readability

                                · Expertise with Databricks Delta Lake

                                · Knowledge of Structured Query Language (SQL) and Non-Structured Query Language (NoSQL) technologies and fluent in writing, executing, and optimizing SQL queries

                                · Knowledge of Big Data technologies and cloud platforms such as Databricks, Apache Spark, Azure Data Factory, Azure Data Explorer, Azure Data Lake, Google BigQuery, Google Dataproc, Google Cloud Data Fusion, Google Dataflow, Google Cloud Composer, Google, Dataprep, Google Dataplex, Google BigLake, Google Vertex

                                · Knowledge of event-driven architecture (e.g., Pub-Sub, Kafka, Message Queuing (MQ), Message Queuing Telemetry Transport (MQTT), Advanced Message Queuing Protocol (AMQP), Event Hub, Logstash)

                                About CN

                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                +

                                +

                                -

                                Great-to-haves

                                +

                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                +
                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/10263?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-03-21T15:42:00.000Z,False,0,1,14,https://talenthub.vectorinstitute.ai/jobs/204324013-specialist-data-developer-at-cn,,expired,2023-03-13T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, +6a8f12c2-a361-409d-8af2-69c18fdc8c8d,204324012,CN,"Expert, Data Developer",on_site,"Ontario, Canada",2023-03-13T17:42:03.082Z,"
                                +

                                +

                                At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                Role description:

                                The Data Movement Service Expert is responsible for designing, building, managing, and optimizing domain-agnostic batch and stream data pipelines, moving them effectively from the source/system of record, shaping the enterprise Source Data Product, and delivering it for consumption. This includes defining solution score and plan architecture, collaborating with Enterprise Architecture and other solution architects, and providing the direction in the delivery of the solution to designers & integrators. More precisely, the Expert builds the solution, drives alignment of the proposed solution with the Enterprise & Domain strategies, master plans & roadmaps, and manages risk mitigation, and as required drives issue escalation & resolution related to the architecture. The experts sign off on architecture where he/she does have the delegation authority and governs the implementation of the architecture during the design phase.

                                Main Responsibilities:

                                Data Engineering

                                · Ensure optimal data delivery architecture and processes are consistent throughout ongoing projects.

                                · Optimize CN’s data architecture to support the next generation of products and data initiatives.

                                · Build, manage, and optimize data pipelines, moving them effectively into production for key data and analytics consumers such as business or data analysts and data scientists.

                                · Build data and domain event models, implement business rules, and engineer scalable data pipelines.

                                · Ensure compliance with data governance and security requirements while creating, improving, and operationalizing integrated and reusable data pipelines.

                                · Enable faster data access, integrate data reuse, and improve time-to-solution for data and analytics initiatives.

                                · Integrate analytics and data science results with business processes.

                                · Promote effective data management practices.

                                Modernization

                                · Work with peers to improve architecture processes and deliverables with the trending technology.

                                · Participate in yearly product health assessment.

                                · Maintain solution architecture roadmap based on Enterprise Architecture & Business strategic direction.

                                Technical Leadership and Governance oversight

                                · Accountable to lead communication and to drive escalation & resolution with Stakeholders.

                                · Ensuring Standards are being published and evangelized.

                                · Ensuring the Enterprise Governance principles are being applied.

                                Requirements

                                Education & Experience

                                · Minimum 10 years of overall work experience (including in OT, IT, Development engagements, and Data Integration).

                                · Minimum 2 years demonstrating technical leadership qualities and/or overseeing deliverables

                                · Minimum 2 years in a similar role.

                                · Bachelor\'s degree in Computer science, Information Systems, Engineering or equivalent degree or relevant work experience.

                                Skills/Knowledge

                                · Strong architecture knowledge within numerous fields: business, application, information, and technology architecture facets.

                                · Hands-on experience in at least one of the Data Integration development technologies (Mulesoft, Kafka, Qlik Replicate, Azure Data Factory).

                                · Strong Informatica Intelligent Cloud Services (IICS) or IBM DataStage experience will also be considered.

                                · Good understanding of application design patterns (Dependency Injection, Microservices, and others) and modern platforms (API/Microservices, Mobile, MBaaS, Mulesoft, Container).

                                · Knowledge and working experience in Google Cloud Platform – Big Query, Cloud SQL, Dataproc, Cloud Storage.

                                · Comparable working experience in Azure Ecosystem will also be considered.

                                · Strong experience with Agile/Scrum/Safe delivery methodology.

                                · Strong ability to bring a complex concept to actionable architecture deliverables.

                                · Strong capacity to learn new concepts and technology quickly with the capacity to coach, mentor, and develop others by teaching them.

                                · Strong ability to taking hard decisions by understanding and explaining trade-offs between business enablement and economic impacts.

                                · The role requires people skills to influence and orient business and technical audiences toward a common goal that is satisfying all stakeholders.

                                · Very good ability to build collaborative cross-functional relationships, pulling together and maintaining a cohesive and high-functioning team.

                                · Strong ability to lead the team on a mandate and to lead decisions.

                                · Ability to deliver mandate with great autonomy – self-driven.

                                · Excellent written and oral communication skills.

                                About CN

                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                +

                                +

                                +

                                +

                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                +
                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/10266?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-03-21T15:40:00.000Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/204324012-expert-data-developer-at-cn,,expired,2023-03-13T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, +ab0d4479-9268-40a3-b4ba-f4d208cb037c,130798459,Bell Canada,"Data Analyst, Business Intelligence",on_site,"Don Mills, Ontario",2022-06-10T18:19:10.064Z,"

                                Req Id: 377233

                                +

                                At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we’re revolutionizing how Canadians communicate.

                                +

                                +

                                If you’re ready to bring game-changing ideas to life and join a community that values bold ideas, professional growth and employee wellness, we want you on the Bell team.

                                +

                                +

                                At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content – we’re revolutionizing how Canadians communicate. If you’re ready to bring game-changing ideas to life and join a community that values bold ideas, professional growth and employee wellness, we want you on the Bell team.

                                +

                                Bell’s Business Intelligence (BI) Group is responsible for the management and optimization of BI data, systems, and analytics used to create marketing contact strategies, analyze customer behaviour, automate business insight processes and provide insight to drive business decisions.

                                +

                                The Data Insights and Analytics team is seeking a dynamic, innovative and strategic analyst to play a key role in transforming the organization with a unique focus on loyalty and retention analytics. We’re looking for a candidate who is proactive and continuously seeking new opportunities to improve, with a keen focus on performance measurement. They need to be capable of interpreting results and data to generate insight, with the ability to think outside the box and drive new unique approaches. The ability to influence and deliver results with cross-functional business units is essential.

                                +

                                If you enjoy working with the latest analytics tools and technologies to apply various analysis techniques then this may be the right job for you! This is an agile development environment, working with the latest BI visualization tools and technologies.

                                +

                                Key responsibilities:

                                  -
                                • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, Engineering, or Data Science
                                • -
                                • Experience with agile methodology and work in a start-up environment
                                • -
                                • GCP or other cloud certifications
                                • -
                                • Experience with Bayesian / Belief Networks, and Causal Inference
                                • -
                                • Back end/API development experience
                                • +
                                • Detailed analysis of key churn drivers in customer behavior, identifying loyalty process improvement opportunities and aiding in the creation of strategies / holistic programs to reduce churn
                                • +
                                • Working within a team of BI analysts to maintain and build automated and ad hoc reporting assets
                                • +
                                • Analysis, delivery of business requests/issues/requirements, and conducting quality assurance testing for all BI deliverables supporting various business functions
                                • +
                                • Excellent leadership and communication skills required to work cross functionally with business users, other analysis teams, development teams, and IT teams
                                • +
                                • Deliver on projects and data strategies that directly support key business drivers
                                • +
                                • Work with and present to various management levels
                                • +
                                • Maintain and expand your knowledge of BI and current technology through training opportunities
                                -

                                #DSEjobs

                                -
                                -
                                -
                                ",,https://careers.telus.com/job/Toronto-Data-Scientist-ON/559753617/,feed-importer@jobboard.io,,,,2022-07-20T14:06:00.452Z,False,0,13,69,https://talenthub.vectorinstitute.ai/jobs/132558474-data-scientist-at-telus,,expired,2022-06-19T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -7ca15e3d-f69a-42f7-821f-8985d7beeaeb,132026754,Accenture,Data Engineering Manager,on_site,Ontario - Toronto,2022-06-16T22:46:08.050Z,"

                                Job Description

                                Lead the Technology Solution, Architecture and Delivery of large and/or complex full lifecycle data applications across cloud, hybrid and on-prem landscapes

                                -

                                Experienced in multiple types of data applications and projects across multiple roles, platforms and technologies

                                -

                                In-depth understanding of data architecture, data management and data engineering patterns, practices and technologies.

                                -

                                An understanding of Advanced Analytics and Machine Learning architecture and patterns.

                                -

                                Experience in large data and platform modernizations/reengineering/migrations desirable.

                                -

                                Excellent collaboration skills working with a cross functional team of professionals across Technology and Business.

                                -

                                Excellent written and spoken communications skills in English and/or French.

                                -

                                -

                                -



                                Qualifications

                                Qualifications
                                8-12+ yrs. in Technology Delivery and Architecture and 5+ years experience delivering Data & Analytics solutions on Azure, with expertise in Azure data services, such as ADLS, Synapse, Azure SQL, Databricks, ADF, Azure DevOps and/or equivalents in other cloud platforms such as AWS or Google.
                                3+ years experience in developing Data Platforms on Spark/Hadoop, ETL, Data Analytics or Cloud Native Data Services
                                Experience developing or migrating Spark workloads
                                Strong hands-on experience in building data engineering pipelines e.g. Spark, Kafka
                                Design and Engineer data solutions with experience architecting data transformation projects, developing solution blueprints and modernization/migration plans, documenting, and presenting recommendations to clients and/or stakeholders
                                Strong written communication skills. Is effective and persuasive in both written and oral communication
                                Secret Security clearance Eligibility desirable.

                                Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

                                -
                                -

                                Equal Employment Opportunity Statement

                                -

                                All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                -

                                Accenture is committed to providing veteran employment opportunities to our service men and women.

                                -

                                Requesting An Accommodation

                                -

                                Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                -

                                If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                                -

                                Other Employment Statements

                                -

                                Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                                -

                                The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

                                ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00097939_en&title=Data+Engineering+Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2022-07-20T14:07:32.201Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/132026754-data-engineering-manager-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=R00097939_en&title=Data+Engineering+Manager,expired,2022-06-16T22:46:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, -af269dc8-ba03-4e40-91a7-f245fb280f98,136709837,TD Bank Group,Senior Fraud Strategist,on_site,"Markham, ON",2022-07-11T21:07:02.662Z,"
                                +

                                Required Competencies:

                                +
                                  +
                                • +You have a Bachelors or Masters degree, in a discipline such as:
                                    +
                                  • Business analytics / business intelligence
                                  • +
                                  • Applied math,
                                  • +
                                  • Computer science,
                                  • +
                                  • Applied science / engineering,
                                  • +
                                  • Economics/econometrics,
                                  • +
                                  • Commerce
                                  • +
                                  • Management science / operations research
                                  • +
                                  +
                                • +
                                • You have knowledge of, and experience with, SQL, SAS, and data visualization tools
                                • +
                                • You are highly analytical and understand the basic principles of working with large and complex data sets
                                • +
                                • You have the ability to leverage insights and opportunities from data and metrics to build strategies and make recommendations
                                • +
                                • You have the ability to work with a team towards common goals
                                • +
                                • You are able to manage multiple projects and priorities.
                                • +
                                • You are a self starter who is comfortable working with and presenting to all management levels
                                • +
                                +

                                +

                                Preferred Competencies:

                                +
                                  +
                                • Experience with data systems such as Oracle, SQL Server, Teradata, SAS, MicroStrategy or others
                                • +
                                • Experience with BI and data warehouse technologies
                                • +
                                • Basic working knowledge of project management steps
                                • +
                                • Experience in Telecommunications
                                • +
                                +

                                +

                                #EmployeeReferralProgram

                                +

                                +

                                Bilingualism is an asset (English and French); adequate knowledge of French is required for positions in Quebec.

                                +

                                +

                                Additional Information:

                                +

                                Position Type: Management
                                Job Status:
                                Regular Term - Full Time
                                Job Location:
                                Canada : Ontario : Don Mills
                                Flexible work profile :
                                Mobile
                                Application Deadline: 06/17/2022

                                +

                                +

                                Please apply directly online to be considered for this role. Applications through email will not be accepted.

                                +

                                +

                                At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                                +

                                +

                                Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                                +

                                +

                                Created: Canada, ON, Don Mills

                                +

                                #Talent #Indeed #Tech

                                +

                                Bell, one of Canada's Top 100 Employers.

                                ",,https://jobs.bell.ca/ca/en/job/BECACA377233EXTERNALENCA/Data-Analyst-Business-Intelligence?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2022-06-13T19:55:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/130798459-data-analyst-business-intelligence-at-bell-canada,BECACA377233EXTERNALENCA,expired,2022-06-10T18:19:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, +e8c141a1-ff11-48dd-9075-c70317f86235,130552159,TD Bank Group,Senior Data Analyst,on_site,"Toronto, ON",2022-06-09T21:06:24.397Z,"

                                Company Overview

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                @@ -332498,58 +340238,41 @@ af269dc8-ba03-4e40-91a7-f245fb280f98,136709837,TD Bank Group,Senior Fraud Strate

                                Department Overview

                                -

                                We can’t afford to be boring. Neither can you. The scale and scope of what TD does may surprise you. The rapid pace of change makes it a business imperative for us to be smart and open-minded in the way we think about strategy. TD’s strategy and business teams become more intertwined as new opportunities present themselves. This new era in banking does not equal boring. Not at TD, Not at Risk, Not at Fraud strategy, anyway.

                                -

                                The Fraud Risk Management & Global Security and Investigations (FRM & GSI) is an enterprise-level body that strives to protect TD Bank Group customers, shareholders and employees from financial crimes and fraud. Aligned with TD strategy and risk appetite, FRM & GSI develops and evolves enterprise policies, advanced analytics capabilities and operational processes to improve governance, oversight, and collaboration between fraud management and other control functions within the Bank.

                                -

                                The Canadian Fraud Management (CFM) team operates within FRM & GSI in a fast-paced environment requiring both strategic and tactical responses to changing fraud patterns and provides a unique opportunity to apply critical thinking and leadership skills in an innovation centric environment.

                                +

                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.

                                +

                                The Business Intelligence group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization.

                                +

                                This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise.

                                +

                                Joining us in Business Intelligence & Reporting is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                                Job Description

                                -

                                This role is responsible for monitoring fraud trends, investigating emerging threats and quickly developing and deploying new strategies to manage those threats.
                                The strategist

                                -
                                  -
                                • Must balance loss decisions with the impact to operational teams and the customer experience.
                                • -
                                • Is expected to develop and apply deep fraud and process expertise, and to leverage sophisticated tools/detection systems to manage risk/reward balance.
                                • -
                                -

                                The successful candidate will work collaboratively with a diverse team of operational agents, Fraud solution developers, data scientists, business insights analysts and subject matter experts and applies fraud business expertise leveraging advanced tools and detection systems to manage risk appropriately. The incumbent will be accountable for loss and customer experience targets.

                                -

                                Accountabilities:

                                -

                                Fraud Loss Management

                                -
                                  -
                                • Reviews daily fraud attacks to create segmentation and develop/implement fraud strategies while balancing the impact to the operational teams and customer experience
                                • -
                                • Design and develop advanced analytics tools to derive business insights from data and information
                                • -
                                • Makes adjustments to shifting network rules, liability requirements or other exogenous factors
                                • -
                                • Executes strategy design and configuration in all fraud prevention platforms (e.g. Faclon, TSYS, FIS, SQN, PRM, Citadel, DPS, VCas, Avant, Experian, Transunion), in alignment with the Change Management protocols
                                • -
                                • Supports case valuation and prioritization to optimize fraud management
                                • -
                                • Become a subject matter expert on the end-to-end operational process, transaction liability and regulatory requirements
                                • -
                                -

                                Process Support

                                -
                                  -
                                • Produce timely diagnostics to identify system, strategy and operational issues
                                • -
                                • Participates in defect analysis to identify and remediate fraud coverage gaps
                                • -
                                • Identify and assess new developing fraud trends as they evolve
                                • -
                                • Participates in the creation of monitoring and reporting by defining requirements and performing validation
                                • -
                                -

                                Partner Support

                                -
                                • Maintain strong relationships with internal stakeholders such as Fraud Operations
                                -
                                • Support the continuous improvement agenda for our operational partners
                                +

                                Are you a big picture thinker? Fantastic! This is exactly the kind of thinking TD needs when it comes to our business intelligence support and analytics. In this role, we need you to take a holistic, high level approach to collection and reporting of data for major projects and initiatives across TD.

                                +

                                As data’s role in providing extraordinary products and services to our customers grows, we’ll look to the valued expertise you’ll provide in this role, to develop, adopt and evolve the best in class reporting and business intelligence capability.

                                +

                                Does this sound like you? You’re a natural leader, and can lead major initiatives and projects, joining business owners and partners to determine business needs and recommend solutions. Moreover, you have a talent for looking at a collection of data and drawing rare insights. In this role, we’ll need you to include those insights and commentary within the existing reporting packages you deliver. Finally, you’ll fit in well if you like to own your space and execute with speed and precision, relishing all challenges as opportunities to dig in, collaborate and take TD into the future of banking.

                                +

                                As a Senior Business Intelligence & Reporting Analyst, you will:

                                +

                                +
                              • Produce specialized reporting packages, dashboards and scorecards for businesses
                              • +
                              • Lead the implementation of initiatives in support of overall business/function strategy
                              • +
                              • Conduct analysis to provide improved BI to inform management leadership team
                              • +
                              • Craft complex and comprehensive BI reporting packages and dashboards utilizing data infrastructure, localized datamarts and external data sources
                              • +
                              • Validate the quality and integrity of the data included in all reporting
                              • +
                              • Develop substantial and insightful commentary/insights on new and existing reporting packages.
                              • +
                              • Work with business partners to understand business objectives and develop valuable reporting and provide ad-hoc data extracts
                              • +
                              • Understand business drivers, definitions and metrics in order to interpret findings, take action and provide relevant direction
                              • +
                              • Lead the development and implementation of portfolio reporting (e.g. acquisition, attrition, portfolio growth, profitability, etc.)
                              • +
                              • Provide (and may develop) complex reporting, analysis, and assessments at the functional or enterprise level
                              • +
                              • Work independently as the senior analyst / expert and may provide technical support to others
                              • +
                              • Maintain expert knowledge of all main data sources for the data used within the business unit and ability to effectively utilize these data sources for reporting purposes
                              • +
                              • Ideally have or acquire knowledge of broader enterprise reporting platforms and data sources and ability to integrate data across the enterprise
                              • +

                                `

                                Requirements

                                +

                                What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                  -
                                • Undergraduate degree from a technical domain (e.g. mathematics/statistics, computer science, engineering)
                                • -
                                • Experience working with big data management and analytics tools
                                • -
                                • Proficiency in a data extraction/analysis/visualization tool. Examples include: SQL, Python, SAS, Knowledge Seeker, Excel, Tableau
                                • -
                                • Demonstrated analytical, modeling and problem solving skills
                                • -
                                • Creative, Critical, Conceptual thinker, ability to wade through data and arrive at conclusions
                                • -
                                • Ability to communicate strategy analysis to both technical and non-technical team members, either verbally or via documentation
                                • -
                                • Ability to take initiative and work independently under tight timelines
                                • -
                                • Ability to work collaboratively and build relationships
                                • -
                                • Motivated to constantly strive to find innovative ways to enhance capabilities
                                • -
                                -

                                Preferable

                                -
                                  -
                                • Experience in fraud management is an asset
                                • -
                                • Knowledge of machine learning is an asset
                                • +
                                • Undergraduate degree or technical certificate
                                • +
                                • Five (5) or more years relevant experience

                                @@ -332559,58 +340282,45 @@ af269dc8-ba03-4e40-91a7-f245fb280f98,136709837,TD Bank Group,Senior Fraud Strate

                                Inclusiveness

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                -
                                ",,https://jobs.td.com/en-CA/jobs/15506314/senior-fraud-strategist-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-07-18T21:12:19.787Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/136709837-senior-fraud-strategist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15506314/senior-fraud-strategist-markham-ca/,expired,2022-07-11T21:07:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -2ed30b36-d7a9-428d-a0e4-0acd7e6f484e,131511368,FreshBooks,Data Engineering - Team Lead (Americas - Remote),on_site,"Toronto, ON, Canada",2022-06-14T05:07:09.760Z,"

                                -

                                It turns out… unicorns are real! In fact, FreshBooks just became one after raising our valuation to more than $1 billion. And ever since launching in 2003, we’ve been on a steady incline towards one goal: Building easy-to-use accounting software for small business owners. It’s the goal that’s driven us to expand into five offices, serving customers in over 160 countries. And it’s the goal we’d love for you to be a part of as a member of our global team as we continue our journey.

                                +
                                ",,https://jobs.td.com/en-CA/jobs/15415090/senior-data-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-06-13T19:55:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/130552159-senior-data-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15415090/senior-data-analyst-toronto-ca/,expired,2022-06-09T21:06:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +a0e0f49e-9d2a-47d2-ad30-776a35e7c330,125432569,Borealis AI,Machine Learning Engineering Lead,on_site,"Ontario, Canada",2022-05-14T21:46:11.779Z,"

                                What\'s the opportunity?

                                +
                                +

                                We’re looking for an Engineering Manager to lead our Equities Returns Prediction team, being at the forefront of machine learning technology and working on extremely challenging problems.

                                -

                                The Opportunity

                                -

                                FreshBooks is seeking a Data Engineering Team Lead to join our team. As part of the Data and Analytics Team, you will help us build and shape the future of our Data Engineering and Production Support teams, framework and processes. If you’re committed to great work and are constantly looking for ways to improve the systems you’re responsible for, we’d love to chat with you!

                                -

                                What you'll do:

                                -
                                  -
                                • Build, mentor and lead a team that specializes in data engineering.
                                • -
                                • Identify and encourage areas for growth and improvement within the team.
                                • -
                                • Create a technical vision in order to turn it into reality with the help of the team.
                                • -
                                • Maintain high standards of quality within the team by establishing good practices and habits. Identify and encourage areas for growth and improvement within the team.
                                • -
                                • Assist in the collection and documentation of user's requirements, development of user stories, estimates and work plans.
                                • -
                                • Participate in peer-reviews of solution designs and related code.
                                • -
                                • Assess opportunities for application and process improvement and prepare documentation of rationale to share with team members and other affected parties.
                                • -
                                • Adhere to high-quality development principles while delivering solutions on-time and on-budget.
                                • -
                                • Collaborate with data engineers, data scientists, and data analysts to design and refine a series of SLAs, SLOs and SLIs that drive excellence in data engineering monitoring, observability and support.
                                • -
                                • Design a robust incident management framework and work closely with Data Engineering management and product owners to provide timely and accurate communications.
                                • -
                                • Collaborate closely with platform, infrastructure and architecture teams to ensure our data engineering systems are well structured for scale, performance and cost.
                                • -
                                -

                                What you bring:

                                +

                                As a Machine Learning Engineering Lead, you’ll be responsible for owning and delivering a project end to end – everything from data pre-processing to implementing machine learning training pipelines and deploying inference in a production environment. You’ll be directly managing a team of machine learning engineers, responsible for strategic planning, execution and delivery. You will provide your team with technical leadership and mentorship. You will work along other engineering leads across Borealis AI. As a people manager you will be responsible for growing your team and fostering career growth of the engineers.

                                +

                                Your responsibilities include:

                                +
                                  +
                                • Lead and directly manage a team of engineers, being responsible for planning execution and delivery of ML systems;
                                • +
                                • Establish high standards and share knowledge in performance, scalability, enterprise system architecture, and engineering best practices;
                                • +
                                • Establish and maintain collaboration with research and business teams to converge on the best solutions;
                                • +
                                • Extending prototypes into fully functional, polished solutions ready for internal and/or external use;
                                • +
                                • Grow and develop the team, helping each team member advance in their career.
                                • +
                                +

                                You\'re our ideal candidate if you:

                                  -
                                • Enthusiasm for data engineering!
                                • -
                                • 5+ years experience creating and maintaining data pipelines
                                • -
                                • Experience leading a team in the data & analytics industry
                                • -
                                • Experience with Google Cloud, or another major cloud provider such as AWS or Azure
                                • -
                                • Experience with BigQuery, Snowflake, Redshift, or similar cloud data warehouse technologies
                                • -
                                • Experience with Airflow (Workflow Management Platform)
                                • -
                                • Strong programming skills in SQL and Python or a similar language
                                • -
                                • Experience with streaming technology (e.g. Google Pub/Sub, AWS Kinesis, Dataflow, Apache Beam, Spark, etc.)
                                • -
                                • Experience with Docker, Jenkins, Kubernetes, Terraform, and/or other DevOps and infrastructure as code technologies.
                                • -
                                • Experience with monitoring, incident management and alert management tools (e.g. Datadog, PagerDuty)
                                • -
                                • A strong practitioner of test-driven (and behaviour driven) development
                                • -
                                • Experience with Git workflows, continuous integration and automated build pipelines
                                • -
                                • Experience working in an Agile environment
                                • +
                                • Have 7+ years of experience delivering software projects to production;
                                • +
                                • Have experience managing a team of engineers;
                                • +
                                • Have experience developing modular, robust, scalable software in a modern programming language;
                                • +
                                • Experience working with business, product and other technical teams;
                                • +
                                • Experience with scaling and performance of large systems;
                                • +
                                • Have led the full lifecycle of software product development including the successful deployment of products to production;
                                • +
                                • Experience taking a leading role in building complex software products, fostering career growth of software engineers, and establishing software engineering best practices within your team;
                                • +
                                • Have background in machine learning or a related field;
                                • +
                                • Experience with Capital Markets or any financial domain is a big plus.
                                -

                                What you might bring:

                                +
                                +

                                What\'s in it for you?

                                  -
                                • A track record of staying at the forefront of data engineering technology.
                                • -
                                • Experience with industry ETL & BI tools (e.g. Fivetran, Stitch, Talend, Informatica, Datastage, Looker, Tableau, PowerBI, etc.)
                                • -
                                • Subject matter data expertise in the SaaS industry.
                                • -
                                • A limitless imagination for where data could go and what we can do with it to make our customers and our people awesome!
                                • +
                                • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                • +
                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                • +
                                • Leaders who support your development through coaching and managing opportunities;
                                • +
                                • Ability to make a difference and lasting impact from a local-to-global scale.
                                -

                                Why Join Us

                                -

                                We're an ambitious bunch, with our eyes laser-focused on shipping extraordinary experiences to small business owners. You'll be surrounded by talented team members who share a common vision for what an amazing software company could be, and have the opportunity to help build a world-class one, right here in downtown Toronto.

                                -

                                Apply now

                                -

                                Have we got your attention? Submit your application today and a member of our recruitment team will be in touch with you shortly!

                                -

                                FreshBooks is an equal opportunity employer that embraces the differences in all our employees. We celebrate diversity and are committed to creating an inclusive environment for all FreshBookers. All applicants are evaluated based on their experience and qualifications in relation to this position.

                                -

                                Here at FreshBooks, we welcome and encourage applications from people with disabilities. Should you require any accommodations during the recruitment process, please advise your recruiter on how we can meet your needs to ensure a fair and equitable selection process in a confidential manner.

                                -

                                -

                                #LI-MD2

                                ",,https://boards.greenhouse.io/freshbooks/jobs/4316675,feed-importer@jobboard.io,,,,2022-07-16T13:28:52.190Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/131511368-data-engineering-team-lead-americas-remote-at-freshbooks,https://boards.greenhouse.io/freshbooks/jobs/4316675,expired,2022-06-14T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Technology (Information and Media),Team Lead,Bachelors Degree,New Posting, -80482217-1491-4ee2-aa9e-a0c9442c6cc1,131892881,Cohere AI,"Software Engineer, ML Production",on_site,Toronto /,2022-06-16T05:07:09.444Z,"
                                +

                                About Borealis AI

                                +

                                Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                +

                                Inclusion and Equal Opportunity Employment

                                +

                                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                ",,https://www.borealisai.com/en/careers/employment/5022745002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-06-15T14:27:33.595Z,False,0,0,12,https://talenthub.vectorinstitute.ai/jobs/125432569-machine-learning-engineering-lead-at-borealis-ai,,expired,2022-05-14T21:46:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Team Lead,Bachelors Degree,New Posting, +35a5c767-e6da-4da6-91ae-73bd0ef57b2a,130372299,Cohere AI,Machine Learning Education Lead,on_site,Toronto /,2022-06-09T05:06:11.463Z,"
                                Who are we?
                                We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learn to understand the meaning, sentiment, and intent of the words we use in a richness never seen before.

                                @@ -332621,28 +340331,26 @@ af269dc8-ba03-4e40-91a7-f245fb280f98,136709837,TD Bank Group,Senior Fraud Strate
                                We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.

                                Why this role?
                                -
                                This role sits at the intersection between machine learning and software engineering. It is a high-impact position in delivering large-scale language models that Cohere builds. This role will focus on system designs of model inference runtimes and model production pipelines to ensure that our models run efficiently and reliably in various environments. In addition, this role will work closely with the latest ML frameworks to integrate cutting-edge model runtimes.
                                +
                                Cohere is dedicated to lowering the barriers to entry to machine learning research and supporting a community of independent research talent across the world. We are committed to collaborating widely and empowering independent researchers around the world.
                                +

                                +
                                As a Machine Learning Education Lead, you have an independent high impact research agenda and are excited to work with researchers from all over the world. You actively contribute to the wider research community by sharing and publishing your findings and code. Your work demonstrates consideration for the societal and ethical implications of machine learning. You have a strong track record of mentorship and are excited to collaborate with independent researchers around the world who are new to the machine learning and NLP community.

                                -Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! We are looking for candidates based in Canada for this role.
                                +Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role.
                                -

                                As a Software Engineer, you will:

                                +

                                As a Machine Learning Education Lead, you will have:

                                    -
                                  • Build model inference framework and infrastructure.
                                  • -
                                  • Build model production pipeline tools.
                                  • -
                                  • Integrate various third party model runtimes.
                                  • -
                                  • Build model performance profiling tools.
                                  • -
                                  • Optimize frameworks and improve system design.
                                  • +
                                  • Ph.D. or equivalent research experience
                                  • +
                                  • Peer-reviewed publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields
                                  • +
                                  • Strong machine learning and NLP fundamentals
                                -

                                You may be a good fit if you have:

                                +

                                You may be a good fit if you:

                                    -
                                  • Extensive software engineering experience writing production-quality code.
                                  • -
                                  • Experience optimizing systems and tools.
                                  • -
                                  • Basic understanding of machine learning workflow.
                                  • -
                                  • Bonus: experience in at least one ML framework such as Tensorflow, PyTorch, or JAXBonus: experience writing kernels for GPUs using CUDA.
                                  • +
                                  • Enjoy collaborating widely
                                  • +
                                  • Have a track record of mentorship and are excited to democratize access to machine learning
                                @@ -332661,380 +340369,274 @@ af269dc8-ba03-4e40-91a7-f245fb280f98,136709837,TD Bank Group,Senior Fraud Strate
                                ✈️ 6 weeks of vacation and shared Canada/US/UK holidays

                                #LI-Remote
                                -
                                ",,https://jobs.lever.co/cohere/76faca41-c663-4e51-aee1-c96afa6058b7,feed-importer@jobboard.io,,,,2022-07-16T13:29:24.311Z,False,0,1,25,https://talenthub.vectorinstitute.ai/jobs/131892881-software-engineer-ml-production-at-cohere-ai,https://jobs.lever.co/cohere/76faca41-c663-4e51-aee1-c96afa6058b7,expired,2022-06-16T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,Bachelors Degree,New Posting, -ab9cba6e-0785-45ac-85e7-6c6abae156b6,137266384,TD Bank Group,Senior ML Engineering Manager AI Everywhere (Layer 6),on_site,"Toronto, ON",2022-07-14T21:07:02.634Z,"
                                -

                                Company Overview

                                -
                                -

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                -

                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                -
                                -

                                -

                                Department Overview

                                -
                                Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform.

                                -

                                Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 – Visual Relationship (winner in 2019).

                                -
                                -

                                -

                                Job Description

                                -
                                -

                                We are looking for an engineering manager to tackle cutting-edge problems of applying Machine Learning (ML) in the real world. Working across TD and Layer 6, you will be part of a leading financial services brand, have access to some of the largest datasets and innovate with leading machine learning scientists and engineers. Unleash the power of Machine Learning by helping us engineer models that scale and are rapidly deployable and, in the process, positively impact millions of customers. The goal of the team is to develop framework and automation solutions to help build and deploy robust and high-performing models through introducing software engineering best-practices.

                                -

                                As an Engineering Manager, you will lead an interdisciplinary team ranging from frontend engineers with data visualization focus, to backend engineers and machine learning researchers in explainability. You are expected to provide technical leadership and help the team grow.

                                -

                                You will also work with ML Scientists to learn their modelling workflow, and other stakeholders to develop a vision and manage the roadmap of development and research projects. so that you can design abstractions and build components that can be combined to build high quality models. You will work to develop and/or integrate tools that help with model monitoring, governance and explainability. You will work with ML Platform team to make sure these models can be trained and deployed on our computing infrastructure, taking advantage of cloud technologies like Azure Kubernetes and more.

                                -
                                +
                                ",,https://jobs.lever.co/cohere/e8b3f26b-e661-4193-99a0-a259e3226286,feed-importer@jobboard.io,,,,2022-06-17T05:12:09.463Z,False,0,0,11,https://talenthub.vectorinstitute.ai/jobs/130372299-machine-learning-education-lead-at-cohere-ai,https://jobs.lever.co/cohere/e8b3f26b-e661-4193-99a0-a259e3226286,expired,2022-06-09T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Product Development),Team Lead,PhD,New Posting, +6eeb536f-410b-49ca-b219-8d950b9916ee,129843422,RBC,"Manager, Reporting, Automation & Analyst",on_site,"Toronto, ON, Canada",2022-06-06T12:53:04.501Z,"
                                +

                                Come Work with Us!

                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                +

                                Job Title

                                Manager, Reporting, Automation & Analyst

                                -

                                Requirements

                                -
                                -

                                Must-Have

                                -
                                  -
                                • Engineering leadership experience with having led high-performance engineering teams
                                • -
                                • Experience with building and scaling data-intensive software in Python and compiled languages such as Java/C
                                • -
                                • You value good software design and sweat over details in code and API design
                                • -
                                • Knowledge of machine learning modelling workflow
                                • -
                                • You enjoy learning new technology and educating others
                                • -
                                • You strive to communicate clearly and with empathy
                                • -
                                • You take great personal pride in building robust and scalable software
                                • -
                                • You are highly accountable and have a strong sense of ownership
                                • -
                                • Ability to do detailed code reviews and give thoughtful feedback
                                • -
                                -


                                Nice to have

                                +

                                Job Description

                                +

                                What is the opportunity?

                                +

                                RBC is currently recruiting for the exciting role of Manager, Reporting & Analytics. In this role, you will work directly with product / client partners in Client Profile Segment Team, especially the Newcomer & Cultural Client teams, to fulfill the following critical roles:

                                  -
                                • Experience building a library or a framework
                                • -
                                • Knowledge of machine learning algorithms
                                • -
                                • Experience with Azure cloud stack
                                • -
                                • Data analytics
                                • -
                                • Comfortable with math or statistics
                                • -
                                -
                                -

                                -

                                Hours

                                -
                                37.5
                                -

                                -

                                Inclusiveness

                                -

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                -

                                -
                                ",,https://jobs.td.com/en-CA/jobs/16067282/senior-ml-engineering-manager-ai-everywhere-layer-6-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-07-21T21:12:06.732Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/137266384-senior-ml-engineering-manager-ai-everywhere-layer-6-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16067282/senior-ml-engineering-manager-ai-everywhere-layer-6-toronto-ca/,expired,2022-07-14T21:07:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -732a547c-f91c-484b-9d54-340fe7cc1eef,133484132,Scotiabank,"Associate Data Engineer, Canadian Business Banking",on_site,Canada : Ontario : Toronto,2022-06-24T05:07:11.188Z,"

                                -

                                -

                                -

                                -

                                Requisition ID: 152179

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                -

                                Associate Data Engineer, Canadian Business Banking

                                -

                                -

                                Purpose

                                -


                                This role contributes to the overall success of Business Intelligence and MIS in Canadian Business Banking ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives while ensuring all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                -



                                The Associate Data Engineer supports development, ongoing management and enhancement of Business Banking data infrastructure to enable development and management of Business Intelligence, Business analytics and Data Science vision for the Business Bank.

                                -

                                -

                                Accountabilities:

                                -


                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                • Supports the development and management of database and Business Intelligence for Business Banking
                                • Build data architecture for Business Banking
                                • Develop new or enhance features across the platform: data pipelines, new datasets, efficient interfaces, and interactive visualizations using Business Intelligence tools such as Power BI and Tableau
                                • Architect the generation of powerful datasets to bring successful analytics to market
                                • Ensure data architecture encompasses all business lines and segments for Business Banking, 30+ source systems as well as all data dimensions including but not limited to client demographics, balance sheet & revenue information, operational & sales activity data
                                • Learn the business strategy and generate ideas for insightful tools
                                • Ensure data integrity and timely availability of data for generation of accurate and timely Business Intelligence and analytics
                                • Ensure data ingested and produced in the database has gone through rigorous data integrity checks including but not limited to comparison against financial reporting systems
                                • Work with data users to ensure datasets produced meet their analytic needs
                                • Ensure data is available on a timely basis for generation of daily, weekly, monthly Business Intelligence as well as ad hoc analytic needs
                                • Enable quick speed to market for new data needs for the Business Bank·
                                • Ensure analytic environment supports high powered computing, multiple software applications, multi-tenancy, data storage, data backup and other infrastructure needs for the analytics team·
                                • Actively bring cutting edge data solutions and next generation technology to Scotiabank
                                • Keep abreast with latest database technology and data solutions
                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                • Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
                                • Champions a high-performance environment and contributes to an inclusive work environment.

                                -

                                -

                                Education / Experience / Other Information:

                                -

                                Education
                                • Bachelor’s degree in Computer Science or related field or relevant experience
                                • Master’s degree in Computer Science – preferred

                                -

                                -

                                Skills/Work Experience:
                                • 2+ years of data engineering and software experience
                                • Experience with Python and/or Scala required
                                • Detailed experience in the following: Unix, Mainframe, SQL, SAS, other programming tools required
                                • Experience with large data sets and working with Hadoop, NoSQL databases, Cassandra, HDFS, and/or graph databases strongly preferred
                                • Hands-on development in a distributed data environment an asset
                                • Experience with Business Intelligence Tools: Power BI, Tableau
                                • Excellent verbal and written communication skills are required
                                • Strong prioritizing and analytical skills
                                • The role requires a high degree of collaboration across wide ranging groups: Global Banking & Markets (GBM); GBP; Finance, Wealth Management, Retail Small Business, and various Business Banking areas.
                                • Strong technical skills in Math, Computer Science or related fields
                                • Excellent design and delivery capabilities
                                • Work in a standard office-based environment; non-standard hours are a common occurrence.

                                -

                                -

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Associate-Data-Engineer%2C-Canadian-Business-Banking-ON-M5H3Y2/559665617/,feed-importer@jobboard.io,,,,2022-07-22T05:12:05.443Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/133484132-associate-data-engineer-canadian-business-banking-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Associate-Data-Engineer%2C-Canadian-Business-Banking-ON-M5H3Y2/559665617/,expired,2022-06-24T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -38fc4f21-0845-4766-bc37-30607691b9ea,134862639,Scotiabank,"Associate, ALM Analytics & Development",on_site,Canada : Ontario : Toronto,2022-07-01T05:07:08.933Z,"

                                -

                                -

                                -

                                -

                                Requisition ID: 156325

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                -

                                Job Purpose

                                -

                                -

                                Be part of a dynamic and innovative analytics team where you will be directly involved in developing high performance analytics that support traders, strategists, and senior management in Scotiabank’s head office Treasury. Our team consists of quantitatively minded people with diverse backgrounds in engineering, physics, finance, and computer science, who bring fresh ideas and perspectives to the projects we work on. Working within a top-tier Canadian bank treasury unit, you will be in a unique position to learn all aspects of how the bank operates and your contributions will directly be used to provide truly valuable insights into managing a large international bank’s balance sheet.

                                -

                                Scotiabank Treasury has undertaken a multi-year technology transformation to create new value-added analytics and to create a leading, best-in-class Treasury unit. As a member of the Treasury Analytics & Development team, the incumbent will be conceptualizing, developing, and deploying state-of-the art analytical models, high performance simulation systems, and front-end graphical solutions to support new and existing balance sheet management initiatives. You will also be responsible for building and deploying critical daily processes that will be leveraged to deliver reports and analytical tools to various team the group supports around Treasury and beyond.

                                -

                                We are looking for a passionate and quantitatively skilled individual to join the team who is quick at learning new concepts, demonstrates curiosity, enjoys research, and who is a creative problem solver. The ideal candidate also shows a strong interest in developing elegant analytical solutions utilizing a range of software tools, implements efficient coding practices, and creates pragmatic, results-focused analytics with a focus on the end-user experience. This position is ideal for a person with an advanced education in a highly technical discipline, and who possesses prior work experience in applied analytics, software development, and modeling within the quantitative finance industry. The ideal candidate will have prior work experience with python development and IT productionalization. Experience with data visualization and customer/user experience (Cx/Ux) interface design using latest web technologies would be an asset.

                                -

                                -

                                Accountabilities

                                -

                                -
                                • Develop, test, and deploy production-ready analytical tools, web-based applications, and the technology framework to measure, forecast, and simulate balance sheet structural interest rate risk exposures, margin analysis, and portfolio stress testing
                                • Create new web-based, user-focused tools and reports for market facing trading desk and senior management focused on continually improving the customer experience
                                • Provide technical expertise and support technical deployment within the team
                                • Collaborate with multiple stakeholders to drive agile product version releases and faster user adoption
                                • Maintain existing and develop new retail and wholesale banking product cash flow models, incorporating consumer behavior trends and business-line specific assumptions and retail forecasts
                                • Provide timely analysis of balance sheet exposures and what-if scenario testing
                                • Maintain, follow, and propose standards and control protocols for the group to ensure output is correct and reproducible
                                • Ensure operational effectiveness to deliver analytics capabilities to end users
                                • Work closely with market-facing, risk management, and finance teams on the various analytical, reporting and exposure measurement issues
                                • Write, implement, test, and utilize sophisticated quantitative models for hedging and ALM purposes
                                • Present to other Treasury colleagues regarding new SIRR analytics and ALM methodology impact testing
                                • Identify efficiency opportunities by working with business lines in the development of new and/or changes to existing products
                                • Build strong partnerships and rapports with multiple Finance and infrastructure units to initiate the review, testing, and final implementation of new ALM analytics initiatives across the Bank
                                • Work with our IT groups to release processes and application to Bank production supported environments
                                • -
                                -

                                -

                                Functional Competencies

                                -

                                -

                                The incumbent must have:

                                -
                                • Strong technical knowledge in programming languages and data management software, including MATLAB, Python (Including being familiar with packages like Flask and Pandas/Numpy), SQL, C++, and Visual Basic.
                                • Experience in full stack development utilizing technologies such as JQuery/Javascript, React.js, Streamlit for python and back-end tools such as node.js and Flask.
                                • Experience in developing highly interactive, user-centric front-end web applications
                                • Working understanding of interest rate market dynamics
                                • Solid knowledge of financial and management accounting principles
                                • Understanding and practical experience in Interest Rate Sensitivities
                                • Strong presentation and communication skills, both oral and written
                                • Excellent analytical, problem-solving, conceptualization, and strategic thinking skills
                                • Ability to communicate technical and analytical concepts to a broad range of stakeholders
                                • Strong customer-focus with a proven ability to translate complex customer requirements into user-focused final product
                                • -
                                -

                                -

                                Education

                                -

                                -
                                • At least one Masters-level degree in Financial Engineering or highly technical disciplines (i.e. engineering, physics, or applied mathematics) with an undergraduate degree in physics, engineering, or computer science.
                                • Minimum 2 years of experience at a top-tier financial institution, preferably with knowledge in interest rate products, asset liability management, and risk management.
                                • -
                                -
                                • Previous model development experience and proven ability to assess, interpret, and implement financial theories, concepts, and models.
                                • Advanced experience in computer programming, distributive computing, database management, machine learning, and development of analytical tools with a solid understanding of statistics, derivatives concepts, as well as interest rate sensitive products.
                                • Expert knowledge of MATLAB data/statistical modeling software.
                                • Strong SQL skills with knowledge and experience in building ALM systems / processes.
                                • Creative problem solver and strong analytical skills.
                                • Ability to effectively interact with end users of the ALM Analytics & Development Team’s tools and software products
                                • +
                                • Support information-based business decisions by identifying, understanding, capturing, organizing, presenting, and disseminating data trends.
                                • +
                                • Work with business partners to grow profitable relationships with our clients and create sustainable value for RBC shareholders.
                                -

                                -

                                -

                                treasuryjobs

                                -

                                -

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Associate%2C-ALM-Analytics-&-Development-ON-M5H1H1/561067417/,feed-importer@jobboard.io,,,,2022-07-22T05:12:05.443Z,False,0,2,20,https://talenthub.vectorinstitute.ai/jobs/134862639-associate-alm-analytics-development-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Associate%2C-ALM-Analytics-&-Development-ON-M5H1H1/561067417/,expired,2022-07-01T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -8161eb02-57c4-4cf6-a685-39f883ee6fa5,141830598,TD Bank Group,"Data Scientist, Cyber-Fraud",on_site,"Toronto, ON",2022-08-05T01:50:21.431Z,"
                                -

                                Company Overview

                                -
                                -

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                -

                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                -
                                -

                                -

                                Department Overview

                                -

                                The Cyber-Fraud Team is a department in the Corporate Office under the Protect Platform, Enterprise Protect. Operating on a North American basis, the Cyber-Fraud team together with business partners establishes and maintains a robust anti-fraud posture across the bank.

                                -

                                Job Description

                                -
                                -

                                Reporting to the Manager, Cyber Fraud Data & Insights, the Data Scientist, Cyber-Fraud will apply analytical techniques, provide technical expertise across a broad range of data management and specialized data functions to detect, identify and report on cyber-fraud. The successful candidate will work closely with other Analysts across the team and be accountable to provide specialized business intelligence, visualization, and analytics support to advance the Cyber-Fraud mandate to identify, detect, and deter fraud and financial crime. The incumbent will lead and support others with the development of reporting, monitoring key trends and defining KPI and KRI to current and emerging fraud threats TD Bank faces, supporting North America. The Data Scientist role requires strong analytic and leadership skills with the ability to interact effectively with business partners.

                                -

                                As a Data Scientist, Cyber-Fraud, you will:

                                +

                                What will you do?

                                  -
                                • -All-Source Analysis (ASA): Perform highly-specialized review and evaluation of incoming Cyber-Fraud information to determine its usefulness for detection and intelligence
                                    -
                                  • Analyze threat information from multiple sources, complete research and analysis using complex data methodologies to derive key insights/results in a presentable format
                                  • -
                                  • Identify emerging risks, cyber-fraud trends and anomalies for cyber-fraud metrics monitoring on KPIs and KRIs
                                  • -
                                  -
                                • -
                                • -Data Administration (DTA): develop and administer data management systems that enable analytics through various languages, complex functions
                                    -
                                  • Provide technical expertise across a range of data analysis functions including data modeling, visualization, report design, machine learning and other specialized data management functions
                                  • -
                                  • Provide subject matter expertise in business intelligence and Reporting. Accountable for the development, adoption and ongoing enhancements of business reporting and/or BI capability and deliver on ad-hoc Cyber-Fraud initiatives as assigned
                                  • -
                                  • Provide expertise on mathematical concepts for the adoption of advanced analytics and data science
                                  • -
                                  -
                                • -
                                • -Investigate (IN): Investigates cybersecurity events or financial crimes related to account level attacks, digital evidence and analytical insights insights
                                    -
                                  • Knowledge and experience with the use of Security Information Event Management systems e.g.) Splunk to identify alerting and detect potential cyber-fraud events for Incident Response triage
                                  • -
                                  • Conduct cyber investigations and digital forensics as required
                                  • -
                                  -
                                • -
                                • Incident Response (CIR): Perform analysis of various log files from a variety of sources including security bot mitigation, web application firewall, other various cyber-fraud sources in various platforms, including Splunk to enable quick scope analysis and remediation
                                • +
                                • Participate in strategy meetings to provide input, gather and document business requirements, and help formulate analytical framework.
                                • +
                                • Influence the approach to answering business questions with deep RBC product insights.
                                • +
                                • Seek out new ways to engineer and manufacture best-in-class standard reports to showcase insights and support tactics.
                                +
                                • Increase the standardization and efficiency of regular reporting.
                                  -
                                • Provide consultation and advice to partners on Cyber-Fraud technology, information security, data, and related security analytics, including requirements and development of technical solutions and/or reporting
                                • -
                                • Have a strong understanding of fraud, digital authentication, information security, and general banking operations (considered an asset)
                                • -
                                • Strong analytical and problem-solving skills; uses strong communication skills to communicate complex issues in easily understandable terms.
                                • +
                                • Manage day-to-day workflow and negotiate realistic timelines.
                                • +
                                • Participate actively in self and peer development relating to financial products, operational processes, relationship management, and technology enhancement.
                                • +
                                • Ensure compliance and privacy guidelines are strictly adhered to.
                                -
                                • Apply sound judgement, discretion and collaborate with internal partners to navigate and resolve issues, and deliver value-added solutions
                                -

                                -

                                Requirements

                                -
                                -
                                • Undergraduate degree in Statistics, Mathematics, Computer Science, or other quantitative discipline
                                +

                                Must-have:

                                  -
                                • Strong technical skills and experience with analytics tools such as SQL, R, Python, SAS and other tools/languages
                                • -
                                • 5+ years of relevant experience in an Analytics role with a Financial Institution
                                • -
                                • Information security certification/accreditation or analytics certifications an asset
                                • -
                                • High level of proficiency in MS Excel, Tableau, PowerPoint
                                • +
                                • 3 years of hands on experience with large relational databases and working experience with multiple querying tools such as native SQL, SAS, BI/Query
                                • +
                                • Proven technical experience with Tableau (desktop and server), UNIX and Windows integrated environments.
                                • +
                                • Be effective and equally conversant in business and technical environments.
                                • +
                                • Strong, innate, business and data acumen.
                                • +
                                • Applied data validation mechanisms.
                                • +
                                • Ability to thrive when working under pressure
                                • +
                                • Undergraduate degree in Computer Science, Statistics, Mathematics, Engineering, Finance, Economics, Business Administration, or other quantitative discipline.
                                • +
                                +

                                Nice-to-have:

                                +
                                  +
                                • Knowledge of Teradata or DB2 is definite asset.
                                • +
                                • Demonstrated leadership in cross-functional environment.
                                • +
                                • Experience with developing reports using OLAP tools.
                                • +
                                • Experience with financial products and services and their corresponding data.
                                -

                                -

                                Hours

                                -
                                37.5
                                +

                                What’s in it for you?

                                -

                                Inclusiveness

                                -

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                +

                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                -
                                ",,https://jobs.td.com/en-CA/jobs/15443374/data-scientist-cyber-fraud-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-08-09T01:55:20.172Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/141830598-data-scientist-cyber-fraud-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15443374/data-scientist-cyber-fraud-toronto-ca/,expired,2022-08-05T01:50:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -e02b91ae-bfb4-49bb-be4f-bb92c84ba065,139647716,Bell Canada,Data Science Developer Intern,on_site,"Toronto, Ontario",2022-07-26T18:23:04.269Z,"

                                Are you ready to grow your career by taking on a new role at Bell? We always look for qualified internal applicants within our own team to support their development.

                                -

                                Bell’s Field Services team is proud to be the face of the Bell brand, performing the best installation and repair services and maintaining Bell’s network for our residential and business customers.

                                -

                                -

                                Do you know someone who would be perfect for this opportunity? If you refer a qualified candidate who is not a current Bell employee and they are hired, you may be eligible to receive a referral bonus! Simply look for the referral hashtag in the job description to see if this role qualifies.

                                -

                                -

                                About Us:

                                -

                                The Data Engineering & Artificial Intelligence focuses largely on sourcing data, maintaining and developing machine learning models and deploying production model driven applications. Our team partners closely with other teams within the company and works most closely with Field Services, operationalizing machine learning to help us continue to transform the business.

                                -

                                -

                                If you’re the type of person that has a strong sense of curiosity and is energized by solving complex puzzles, then this role it the perfect opportunity for you. With nearly limitless sources of data at your fingertips, the Data Engineering and Artificial Intelligence team collects and examines millions of data points on network and product performances to optimize resource utilization across a workforce of nearly 10,000 people. The team’s findings help prioritize key technology investments and ensures major corporate decisions are always data driven. This is a terrific opportunity to gain experience working with new cutting-edge technologies.

                                -

                                -

                                Position Summary:
                                Reporting to the Senior Manager, Advanced Analytics, the ideal candidate is a Developer, Data Science Intern, tasked with the successful planning, design and development of Machine Learning models that help Bell deliver a best in class customer experience. The successful candidate will work closely with cross-functional teams across Bell to implement and operationalize machine learning models that give real-time feedback to our customers and technicians.

                                -


                                Key Responsibilities:

                                -
                                  -
                                • Build code and models to translate data into actionable insights
                                • -
                                • Design and develop Machine Learning models to improve Customer Experience and optimize processes
                                • -
                                • Track model performance using appropriate KPIs, metrics and techniques
                                • -
                                • Deliver solutions with measurable results and benefits to the business overall and define key metrics for measuring success of the project
                                • -
                                • Communicate results of analysis and models to stakeholders effectively and confidently
                                • -
                                • Translating business imperatives into data centered questions to be able to quantify and evaluate them
                                • -
                                • Bring in new sources of data by exploring data across Bell and externally
                                • -
                                • Design and expand interactive dashboards
                                • -
                                -

                                -

                                Qualifications:

                                  -
                                • Currently enrolled or recently completed undergraduate or masters degree in Engineering, Computer Science, Physics, Mathematics, Operations Management/Research, Business or relevant field
                                • -
                                • Self starter with excellent problem solving skills
                                • -
                                • Experience in using Python and SQL (Hadoop, Microsoft SQL Server, Teradata, SAS, Oracle) to assess data and gather valuable insights
                                • -
                                • Experience in developing and modifying Hadoop (Spark, Scala, Impala), Python and SQL ETL Processes
                                • -
                                • Experience deploying ML/AI models into production
                                • -
                                • Knowledge of machine learning practices and experience applying them to real datasets
                                • -
                                • Must be versatile and quick to learn new languages, packages and frameworks
                                • -
                                • Judicious and creative thinker who is exceptionally adept with quantitative and qualitative analysis
                                • -
                                • Ability to leverage insights and opportunities from data and metrics to build strategies and make recommendations
                                • -
                                • Team player with excellent organization and people skills
                                • +
                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation
                                • +
                                • Opportunity to learn and apply new businesses, techniques, and ideas.
                                • +
                                • Ability to make a difference and lasting impact
                                • +
                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                • +
                                • Opportunities to take on progressively greater accountabilities.
                                -

                                -

                                Key Information:

                                -
                                • Internship term: 8-12 months starting in September 2022
                                -

                                +

                                +

                                +

                                Job Summary

                                +

                                Address:

                                TORONTO, Ontario, Canada

                                City:

                                CAN-ON-TORONTO

                                Country:

                                Canada

                                Work hours/week:

                                37.5

                                Employment Type:

                                Full time

                                Platform:

                                Personal and Commercial Banking

                                Job Type:

                                Regular

                                Pay Type:

                                Salaried

                                Posted Date:

                                2022-06-01-07:00

                                Application Deadline:

                                2022-06-15-07:00
                                +

                                Inclusion and Equal Opportunity Employment

                                +

                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                ​​​​​​​
                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                +
                                +

                                Join our Talent Community

                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                +
                                ",,https://jobs.rbc.com/ca/en/job/R-0000014523/Manager-Reporting-Automation-Analyst,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2022-06-16T12:58:03.710Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/129843422-manager-reporting-automation-analyst-at-rbc,,expired,2022-06-06T12:53:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +02c53b87-d910-4ac4-b987-d7942fe25682,126158877,TELUS,Data Scientist,on_site,"Ontario, Canada",2022-05-19T07:35:11.185Z,"
                                +
                                +

                                Description

                                +
                                +


                                Join our team and what we\'ll accomplish together

                                +

                                +

                                The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high quality data, and a data-product oriented culture while always keeping an eye on the horizon, preparing for the next big thing.

                                +


                                We are entrepreneurial, and live by our AI Manifesto of failing fast and being outcome vs technology driven, creating value for our customers, team members, communities, and the environment. The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web-visualizations, we do it all!

                                +


                                Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

                                +

                                You’ll be a part of the team and journey that will transform the way we do business across various domains. You’ll collaborate with teams across the company, seeking out various data sources to help identify new business opportunities while championing data driven decision making and the accelerated adoption of AI. As a Data Scientist on the team, you will combine your expert knowledge of data science with your strong software development skills to automate and facilitate data exploration, analytics, machine learning model development, training and deployment and will leverage your experience in building reusable algorithms, functions and libraries.

                                +


                                Here\'s how

                                +

                                +
                                  +
                                • Lead the iterative development, validation, and deployment of AI/ML models
                                • +
                                • Collaborate on end-to-end automation efforts required to bring models to production
                                • +
                                • Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
                                • +
                                • Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
                                • +
                                • Influence how we approach business challenges and opportunities by driving the adoption of a data driven mindset
                                • +
                                • Develop re-usable code aimed at delivering on future goals faster and more reliably
                                • +
                                • Support and evolve the Advanced Analytics and Data Science roadmap by leveraging industry research, best practices and emerging tools/technology
                                • +
                                • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
                                • +
                                +
                                +
                                +
                                +

                                Qualifications

                                +
                                +


                                What you bring

                                +

                                +
                                  +
                                • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
                                • +
                                • You are sought out for your skills in Machine Learning and AI, including regression, classification, clustering, time series analysis, NLP, and optimization and bring 2 to 5 years of hands-on work and practical business experience in the above areas
                                • +
                                • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences
                                • +
                                • You have solid development experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras and have applied these skills towards solving actual business matters
                                • +
                                • You are comfortable in and with a Jupyter environment and infrastructure, and familiar with GitHub
                                • +
                                • You possess advanced knowledge in SQL and distributed computing
                                • +
                                • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
                                • +
                                • You are well versed in software and AI development lifecycles, including ML Ops
                                • +
                                • You are agile and have a bias for action, removing roadblocks to get results fast
                                • +
                                +

                                +

                                Great-to-haves

                                +

                                +
                                  +
                                • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, Engineering, or Data Science
                                • +
                                • Experience with agile methodology and work in a start-up environment
                                • +
                                • GCP or other cloud certifications
                                • +
                                • Experience with Bayesian / Belief Networks, and Causal Inference
                                • +
                                • Back end/API development experience
                                • +
                                +

                                #DSEjobs

                                +
                                +
                                +
                                ",,https://careers.telus.com/job/Toronto-Data-Scientist-ON/559753617/,feed-importer@jobboard.io,,,,2022-06-18T13:57:35.155Z,False,0,5,59,https://talenthub.vectorinstitute.ai/jobs/126158877-data-scientist-at-telus,,expired,2022-05-19T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, +2b58cc72-41ea-4aa3-90ba-af1518b5b252,127615432,Deloitte,"Business Data Analyst - Consumer, Omnia AI",on_site,"Multiple Locations, Ontario, Canada",2022-05-27T02:43:01.552Z,"

                                +
                                +

                                Job Type: Permanent
                                Primary Location: Multiple Locations, Ontario, Canada
                                All Available Locations: Toronto; Calgary; Montreal; Ottawa; Vancouver

                                +

                                Learn from deep subject matter experts through mentoring and on the job coaching
                                Partner with clients to solve their most complex problems
                                Be empowered to lead and have impact with clients, our communities and in the office.

                                +
                                +
                                +
                                +

                                +

                                Are you passionate about data and technology solutions, driven to learn about them and keep up with market evolution? Are you enthusiastic about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development? If you answered yes, then we have an opportunity waiting for you!

                                +
                                +
                                +

                                What will your typical day look like?

                                +
                                +

                                As a Customer Business Analyst in our Data Modernization & Analytics team within the Omnia AI practice, you are passionate about data and technology solutions, are driven to understand the latest business challenges and its enablement using technology platforms. You will play an active role to architect and design data & technology solutions using industry-leading platforms on client’s ecosystem. You are enthusiastic about large-scale data transformation programs, have strong problem-solving and analytical skills, are tech savvy and have a techno-functional experience with ability to engage the Business as well as IT teams with ease.

                                -

                                Adequate knowledge of French is required for positions in Quebec.

                                -

                                Additional Information:

                                -

                                Position Type: Contractor
                                Job Status:
                                Intern
                                Position Level:
                                CP2
                                Job Location:
                                Canada : Ontario : Toronto
                                Flexible work profile:
                                Mobile
                                Contact Name:
                                Application Deadline:
                                07/10/2022

                                -

                                -

                                Please apply directly online to be considered for this role. Applications through email will not be accepted.

                                -

                                At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                                +

                                Specifically, in this role, you will:
                                • Lead, define, design and implement end-to-end customer data-oriented solutions to solve business challenges, use-cases and features to enrich customer experiences for clients
                                • Collaborate with enterprise architects, business architects, marketing analysts, ETL designer and developers to lead data integration requirements and solutions
                                • Conduct analysis and incorporate findings, feedback and insights from customer and business research
                                • Own solution design and delivery of significant subject areas covering the functional requirements, and co-relate to solution architecture
                                • Define and develop solution architectures, lead teams through program delivery journey and mentor junior colleagues

                                -

                                Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                                +
                                +
                                +
                                +

                                About the team

                                +
                                +

                                Omnia AI, Deloitte's Artificial Intelligence practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial Intelligence (AI) transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with disciplined focus on business outcomes.

                                +


                                As a member of our Data Modernization & Analytics team within our Omnia AI practice, you will help our clients design and implement the data platform architectures that are focused on customer domain, consumer industry – be it in the cloud or on-premises – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Customer Data Platforms, Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverages a different mix of traditional and innovative technologies to achieve business outcomes.

                                -

                                Please note that you may be required to submit your current Performance Review rating to the hiring leader during the recruitment process.

                                -

                                Created: Canada, ON, Toronto

                                ",,https://jobs.bell.ca/ca/en/job/BECACA378317EXTERNALENCA/Data-Science-Developer-Intern?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2022-08-08T18:07:00.000Z,False,0,15,76,https://talenthub.vectorinstitute.ai/jobs/139647716-data-science-developer-intern-at-bell-canada,BECACA378317EXTERNALENCA,expired,2022-07-26T18:23:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Internship/Co-op,Masters Degree,New Posting, -0b74d835-1bbd-458e-94c7-c4d38cea9366,136541688,Cohere AI,Machine Learning Engineer,on_site,Toronto /,2022-07-10T05:07:02.784Z,"
                                -
                                Who are we?
                                -
                                We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learn to understand the meaning, sentiment, and intent of the words we use in a richness never seen before.
                                -

                                -
                                We recently raised our Series B, signed a multi-year partnership with Google Cloud, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.
                                -

                                -
                                We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, (over 23k citations) and was previously part of Google Brain. Our entire technical team is world-class.
                                -

                                -
                                We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.
                                -

                                -
                                Why this role?
                                -
                                Design and implement novel research ideas.
                                -

                                -
                                Ship state of the art models to production.
                                -

                                -
                                Deep connections to academia.
                                -

                                -
                                We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational need.
                                -

                                -
                                -Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role.
                                -
                                -

                                Working on Machine Learning, you will:

                                -
                                    -
                                  • Design, train and improve upon cutting-edge models
                                  • -
                                  • Develop new techniques to train and serve models safer, better, and faster
                                  • -
                                  • Train extremely large scale models on massive datasets
                                  • -
                                  • Engage in research collaborations with our partner organizations and academic affiliations
                                  • -
                                  • Publish your work in top-tier conferences and journals
                                  • -
                                  • Work closely with product teams to develop solutions
                                  • -
                                  • Assist our legal teams with preparation of patents on developed IP
                                  • -
                                  • Join us at a pivotal moment, shape what we build and wear multiple hats!
                                  • -
                                -
                                -

                                You may be a good fit if you have:

                                -
                                    -
                                  • Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR
                                  • -
                                  • Experience using large-scale distributed training strategies
                                  • -
                                  • Familiarity with autoregressive sequence models, such as Transformers
                                  • -
                                  • Strong communication and problem-solving skills
                                  • -
                                  • A demonstrated passion for applied NLP models and products
                                  • -
                                  • -Bonus: experience writing kernels for GPUs using CUDA
                                  • -
                                  • -Bonus: experience training on TPUs
                                  • -
                                  • -Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP)
                                  • -
                                    * This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere.
                                    -
                                -
                                -

                                -

                                -
                                If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                -

                                -
                                We welcome applicants of all kinds and are committed to providing both an equal opportunity process and work environment. We value and celebrate diversity and strive to create an inclusive work environment for all.
                                -

                                -
                                Our Perks:
                                -
                                🤝 An open and inclusive culture and work environment
                                -
                                🧑‍💻 Work closely with a team on the cutting edge of AI research
                                -
                                🍽 Free daily lunch
                                -
                                🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                -
                                🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
                                -
                                🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                -
                                🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend
                                -
                                ✈️ 6 weeks of vacation and shared Canada/US/UK holidays
                                -

                                -
                                #LI-Remote
                                -
                                ",,https://jobs.lever.co/cohere/71a5b634-cd52-4e9d-9cf3-3ac55ee94ac1,feed-importer@jobboard.io,,,,2022-08-12T05:12:04.150Z,False,0,14,66,https://talenthub.vectorinstitute.ai/jobs/136541688-machine-learning-engineer-at-cohere-ai,https://jobs.lever.co/cohere/71a5b634-cd52-4e9d-9cf3-3ac55ee94ac1,expired,2022-07-10T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,Bachelors Degree,New Posting, -9719a2f1-c1d3-4f6a-97c0-80a413511505,140937005,Cohere AI,NLP Software Engineer,on_site,Toronto /,2022-08-02T05:07:04.949Z,"
                                -
                                Who are we?
                                -
                                We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learn to understand the meaning, sentiment, and intent of the words we use in a richness never seen before.
                                -

                                -
                                We recently raised our Series B, signed a multi-year partnership with Google Cloud, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.
                                -

                                -
                                We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, (over 23k citations) and was previously part of Google Brain. Our entire technical team is world-class.
                                -

                                -
                                We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.
                                -

                                -
                                Why this role?
                                -
                                As a Rapid NLP prototyper you will be responsible for prototyping, developing, and deploying a wide variety of applications using the cohere API. You will work directly with Nick Frosst (co-founder / CTO) as well as the rest of the eng team, in order to build out and publish demos and examples of NLP applications. You would be a good fit for this role if you have a wide breadth of technical background (front end / back end / ML / Infra), if you are passionate about building things, and if you are a self-starter and enjoy working independently.
                                -

                                -
                                -Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role.
                                -
                                -
                                If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                -

                                -
                                We welcome applicants of all kinds and are committed to providing both an equal opportunity process and work environment. We value and celebrate diversity and strive to create an inclusive work environment for all.
                                -

                                -
                                Our Perks:
                                -
                                🤝 An open and inclusive culture and work environment
                                -
                                🧑‍💻 Work closely with a team on the cutting edge of AI research
                                -
                                🍽 Free daily lunch
                                -
                                🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                -
                                🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
                                -
                                🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                -
                                🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend
                                -
                                ✈️ 6 weeks of vacation and shared Canada/US/UK holidays
                                -

                                -
                                #LI-Remote
                                -
                                ",,https://jobs.lever.co/cohere/4c41f7eb-d3bb-44f6-8265-7593fd5fb972,feed-importer@jobboard.io,,,,2022-08-12T05:12:04.150Z,False,0,2,13,https://talenthub.vectorinstitute.ai/jobs/140937005-nlp-software-engineer-at-cohere-ai,https://jobs.lever.co/cohere/4c41f7eb-d3bb-44f6-8265-7593fd5fb972,expired,2022-08-02T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,Bachelors Degree,New Posting, -9f958ec1-d095-4866-8187-bafa61c7e6c0,136097230,Air Canada,Staff Software Engineer - 29778,on_site,"Location: TORONTO, ON, Canada",2022-07-08T05:07:05.765Z,"
                                • Create detailed development patterns and reviews across relevant stakeholders to ensure alignment to the overall business needs including technology stack, solution architecture, security requirements and performance testing documents
                                • Analyze, document and optimize the overall development patterns by developing design principles, models, plans, internal standards, budgets, and processes aligned on industry best practices
                                • Participate in the selection of relevant technologies and products when solicited and actively identify products and technologies to advance the development practices and end solutions.
                                • Present and socialize proposed solutions to technical boards during review sessions as well as articulate and communicate options to audiences with limited expertise related to the selected technology
                                • Support the delivery of the solution by providing insights to the application development teams and project managers that plan and execute delivery activities
                                • Support implementation processes in association with internal and external development teams, participate in project-related activities and enforces guidelines and standards that production teams use to help guide their work
                                • Assume responsibility for the quality of the implemented solution and its adherence to technology strategies, patterns, standards, best practices, and enterprise architectural standards.
                                • Serve as the primary interface with architecture, and provide technical leadership to development teams, and all internal and external teams involved in the implementation process.
                                • Create development patterns and coding guidelines that describe and explain solutions attributes and associated benefits and maintain documentation in collaboration with delivery teams.
                                • Support the identification of opportunities for continuous improvement of solution management methodologies, including obtaining feedback after the solution has been implemented
                                • Build standard patterns for different business use cases and projects.
                                • -
                                -
                                • Bachelor’s degree in a related field (Information Technology, Engineering). An advanced degree in a related area, an asset.
                                • Minimum of 10 years of IT experience, of which minimum 5 as a solution Experience working with integrated Enterprise systems
                                • Ability to work across multiple technical teams to set direction and priority
                                • Ability to work independently and as part of a team while demonstrating initiative and using good business acumen
                                • Expertise in a variety of open-source products, technologies, application and Integration frameworks.
                                • Expertise with web mobile application environments
                                • Experience in the layout and architecture planning for integrating multiple platform (mainframe, client-server, software packages with custom applications).
                                • Expertise with business rules engine concepts.
                                • Expertise in APIs, web services concepts and standards.
                                • Expertise in JSON, XML, XML Schema, XSL, various XML standards and web services.
                                • Experience in designing and implementing large server software with particular attention to security, scalability and high performance.
                                • Knowledge and experience with RDBMSs (DB2, MySQL, MS SQL Server, etc.)
                                • Experience working within multidisciplinary and collaborative environments
                                • Team player with effective interpersonal skills
                                • -
                                -
                                • Candidates must be eligible to work in the country of interest, at the time any offer of employment is made and seeking any required work permits/visas or other authorizations which may be required is the sole responsibility of the candidates applying for this position.
                                • -
                                ",,https://careers.aircanada.com/jobs/9797734-staff-software-engineer,feed-importer@jobboard.io,,,,2022-08-11T18:07:12.243Z,False,0,2,22,https://talenthub.vectorinstitute.ai/jobs/136097230-staff-software-engineer-29778-at-air-canada,https://careers.aircanada.com/jobs/9797734-staff-software-engineer,expired,2022-07-08T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, -c266dbf9-64ce-4921-9e0a-8724f8689c73,142721313,TD Bank Group,Data Steward II,on_site,"Toronto, ON",2022-08-09T01:50:18.258Z,"
                                -

                                Company Overview

                                -
                                -

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                -

                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                +
                                +
                                +

                                Enough about us, let’s talk about you

                                +
                                +

                                You are someone who is:

                                +

                                • 2+ years of experience working in the consumer industry (Retail, CPG, FMCG, Supply Chain, and other customer related areas) on data and technology delivery programs; understanding of customer 360, loyalty, personalization, marketing related architecture and data flows
                                • 2+ years of experience in data lifecycle and ETL design; strong understanding of data management principles, data profiling, and SQL
                                • Experience liaising with both the business and technology teams with the ability to simplify complex technical concepts into easy-to-understand non-technical language in order to facilitate, communicate and interact with business stakeholders, working with Agile development methods on data-oriented projects
                                • Completed Bachelor’s Degree (or higher) in Marketing and consumer related areas such as Computer Science, Supply Chain and FMCG, Information Management, Big Data & Analytics, or related field is desired; customer 360 or digital marketing background is an asset; certifications or experience in customer data platforms, cloud data platforms, mar-tech, supply chain, retail, digital marketing technologies is an asset

                                +

                                If you believe you have what it takes to be a successful member of our team please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

                                +
                                +
                                +
                                +

                                Why Deloitte?

                                +

                                Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                +
                                • +You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                • +You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                • +You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                • +
                                +


                                The next step is yours

                                +

                                Sound like The One Firm. For You?

                                +

                                At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                +

                                By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                +

                                ",,https://careers.deloitte.ca/job/Multiple-Locations%2C-Ontario%2C-C-Business-Data-Analyst-Consumer%2C-Omnia-AI/875417200/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-06-21T02:48:16.108Z,False,0,0,5,https://talenthub.vectorinstitute.ai/jobs/127615432-business-data-analyst-consumer-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Multiple-Locations%2C-Ontario%2C-C-Business-Data-Analyst-Consumer%2C-Omnia-AI/875417200/,expired,2022-05-27T02:43:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Bachelors Degree,New Posting, +df256ce6-3609-47cc-a99b-8702f83e2869,129835425,CIBC,"Consultant, Data Engineer",on_site,"Ontario, Canada",2022-06-06T10:45:02.449Z,"
                                +

                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                -

                                Department Overview

                                -

                                Data governance and management at TD is part of an enterprise-wide data and analytics ecosystem. Adaptability is key. You may be part of the data and analytics professional community managing data assets aligned to TD’s overarching policies or strategies, or you may find yourself directly immersed in various lines of business. Data stewardship at TD spans the enterprise and welcomes experts like you to help drive our business forward while protecting the interests of our organization, customers and shareholders.

                                +

                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                -

                                Job Description

                                -
                                -

                                About this Role

                                -

                                Are you evolving and growing your career from data steward to leader? If so, this role, providing data expertise, business leadership and day-to-day data governance and management, is calling. This seasoned professional role requires substantial knowledge and expertise in a complex, specialized area of Data Governance and Management activities. You will be a Data Steward for your line of business, lead or support the Line of Business (LOB)’s Segment Data Council and directly support the LOB Data Strategy.

                                -

                                As a Data Steward II, you will:

                                +

                                To learn more about CIBC, please visit CIBC.com

                                +

                                +

                                Job Description

                                +

                                +

                                What You’ll Be Doing

                                +

                                Reporting to the Director, Digital Analytics and Integration you will be a key manager in the team responsible for creating, designing, communicating and maintaining the Data Structures and Models for all pertinent data sources and systems. You will lead efforts to collaborate with multiple cross-functional teams and data owners to identify key data sources and associated elements, design the interconnectivity and processing pipelines between data sources, manage the implementation of various data pipelines and serve as the owner for data ingestion architecture, design and implementation. You will serve as an SME for all pertinent data sources across the bank and will be responsible for bringing together numerous datasets, owned by teams across the bank, for all Digital initiatives. You will further leverage both on-prem and cloud-based platforms to ensure appropriate access and governance processes are implemented and data quality standards are adhered to and are integral part of all data ingestion and data processing pipelines.

                                +

                                +

                                At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview

                                +

                                +

                                How You’ll Succeed

                                  -
                                • Act as a strategic partner by leading relationships with key enterprise partners and engaging leadership team
                                • -
                                • Clarify scope of accountabilities, align partners and manage your data governance / management area of responsibility (responsible for supporting the delivery of activities within the LOB Data Strategy)
                                • -
                                • Assess / identify key issues and escalate to appropriate levels and relevant stakeholders and business management where required
                                • -
                                • Identify, mitigate and report on risk issues per enterprise policy / guidance and ensure appropriate escalation processes are followed
                                • -
                                • Lead multi-functional teams or projects with significant resource requirements, risk and complexity
                                • -
                                • Craft, communicate and deliver a holistic strategy for your data governance / management function, integrated with the overall business strategy and in alignment with the Enterprise Data Strategy, Policy and Standards.
                                • -
                                • Provide thought leadership, transfer of knowledge and participate fully as a member of the team, promoting a positive work environment, innovation and service quality to the business
                                • -
                                • Complete key courses for the EDS capabilities within EDU, including annual Mastery Testing
                                • -
                                • Partner closely with Technology, SMEs, other colleagues and contacts to drive successful implementation of LOB Data Strategy for data environments up to medium complexity
                                • -
                                • Stay on top of emerging issues, trends, evolving regulatory requirements externally while being a brand ambassador for data stewardship and your LOB
                                • +
                                • +Data Science Expertise: Under the guidance of Director, conduct detailed analysis of data and provide data structures to solve business problem leveraging tools like Microsoft SQL, Python, SAS, Alteryx, Tableau. Conduct guided research, typically on the non-traditional resources to solve business problems.
                                • +
                                • +Business Consulting: Participate in business requirements gathering and problem assessment. Gather relevant information related to business processes, functions and operations to evaluate data credibility and quality. Utilize creative thinking to select the most suitable procedure/approach that provides the optimum solutions to business problems. Conduct in-depth analysis for the purpose of identifying revenue generation and cost saving opportunities under the guidance of Director.
                                • +
                                • +Market Relevancy: Participate in an analytics community whose goal is to foster and share analytic approaches across the enterprise. Liaise with internal and external sources, colleagues, and others to obtain, provide, verify and discuss information and best practices. Passionate innovators, creators and collaborators who are up for the challenge of building the bank of the future and delivering solutions that meet our clients’ changing needs
                                • +
                                +

                                Who You Are

                                +
                                  +
                                • +You can demonstrate experience in working with large datasets including both structured and unstructured data and related tools (e.g., SQL or Hive, Spark). Must have experience coding in high level programming languages such as Python, SAS, etc. Must have experience coding with data modelling packages such as Pandas, etc.
                                • +
                                • +You’re a certified professional. You have current accreditation and good standing in M.S. from the quantitative analytics fields.
                                • +
                                • +You\'re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
                                • +
                                • +You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do.
                                • +
                                • +You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.
                                • +
                                • +Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.
                                • +
                                +

                                What CIBC offers

                                +

                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                +
                                  +
                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.
                                • +
                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
                                • +
                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.
                                -

                                -

                                Requirements

                                -
                                -What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                +

                                What you need to know

                                  -
                                • Undergraduate degree or technical certificate
                                • -
                                • Seven (7) or more years relevant experience
                                • -
                                • Skill in using software tools, applications, data analysis methods
                                • -
                                • Ability to work multi-functionally, communicate positively and professionally in both spoken and written form, provide assistance or guidance to other team members and build positive relationships across teams and functions
                                • +
                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                • +
                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                -

                                -

                                Hours

                                -
                                37.5

                                -

                                Inclusiveness

                                -

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                -
                                ",,https://jobs.td.com/en-CA/jobs/16419880/data-steward-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-08-16T01:55:19.811Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/142721313-data-steward-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16419880/data-steward-ii-toronto-ca/,expired,2022-08-09T01:50:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -4a96a1bf-59a0-4f34-9962-5932e1d33584,137266392,TD Bank Group,Data Scientist,on_site,"Toronto, ON",2022-07-14T21:07:05.202Z,"
                                +

                                +

                                +

                                Job Location

                                Toronto-81 Bay, 18th Floor

                                Employment Type

                                Regular

                                +

                                Weekly Hours

                                37.5

                                Skills

                                +

                                Alteryx, Databricks Unified Data Analytics Platform, Microsoft Azure, Python, SAS BI, Structured Query Language (SQL), Tableau
                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Consultant--Data-Engineer_2219448,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-06-20T10:51:04.058Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/129835425-consultant-data-engineer-at-cibc,,expired,2022-06-06T10:45:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +f8242977-1248-467e-8ad6-bedc8891070e,129827239,Thales,Intern Software Engineer,on_site,"Ontario, Canada",2022-06-06T07:35:06.436Z,"
                                Location: Ottawa, Canada

                                +

                                Thales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billons of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure.

                                +

                                +

                                +

                                +

                                The Intern Software Engineer will be working to develop, test, automate, build and deploy STA solutions for authentication, identity and access management. The position will be working with R&D teams located in Ottawa, Austin and Noida and interact with Solution Architects, Product Management and UX teams to meet business objectives and quality of solution delivered for customers. The role will require also keeping in mind scalability, performance, operation and user experience, and overall architecture of the solution. It will also require active involvement in the various scrum team activities and overall SAFe planning and commitments, as well as participation in technical community of knowledge.

                                +

                                +

                                Key Responsibilities:

                                +
                                  +
                                • Learn about the STA solution and its development environment.

                                • +
                                • Contribute to the design, implementation and testing of features with scalability, performance, deployment / operation and end-user experience in mind.

                                • +
                                • Apply coding/implementation best practices to produce elegant, high quality and reusable code.

                                • +
                                • Implement and follow security best practices for web applications.

                                • +
                                • Collaborate with other validators and developers to share knowledge and improve overall product/solution.

                                • +
                                • Keep up-to-date with latest technologies evolution and frameworks.

                                • +
                                • Interact with UX team to verify implementation of user experience concepts.

                                • +
                                • Follow the agile methodology used for the project. This includes creation of user stories and corresponding tasks.

                                • +
                                • Regularly archive source code into Gitlab, the source code repository for projects. The corresponding documentation is created and maintained in Confluence. Jira will be used for story, task, and issue tracking.

                                • +
                                • Participate in issue investigation and deployment of applications and new releases in testing/integration environment as needed.

                                • +
                                • Interface with the geographically distributed teams in Austin, Ottawa, Noida on a regular basis.

                                • +
                                +

                                +

                                Required Skills & Experience:

                                +
                                  +
                                • Student completing a Bachelor’s degree in computer science or other relevant field of study.

                                • +
                                • Previously completed college level course work in computer programming language such as .NET, JavaScript or java

                                • +
                                • Ability to effectively communicate technical design, specification or implementation details of college coursework or internship project.

                                • +
                                • Curiosity and desire to learn about complex cloud solution

                                • +
                                +

                                +

                                Preferred Qualifications:

                                +
                                  +
                                • Taken previous college level course work in cloud computing or database.

                                • +
                                • Familiarity with Agile/SAFe methodology

                                • +
                                • Proven ability to work independently on assigned tasks.

                                • +
                                • Familiarity with security and identity management (access management, authentication, identity providers)

                                • +
                                • Familiarity with tools such as JIRA and Confluence.

                                • +
                                +

                                +

                                +

                                Thales is an equal opportunity employer which values diversity and inclusivity in the workplace. Thales is committed to providing accommodations in all parts of the interview process. Applicants selected for an interview who require accommodation are asked to advise accordingly upon the invitation for an interview. We will work with you to meet your needs. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.

                                +
                                ",,https://thales.wd3.myworkdayjobs.com/en-US/Careers/job/Ottawa/Intern-Software-Engineer_R0170207-1,feed-importer@jobboard.io,,,,2022-06-20T07:40:08.624Z,False,0,3,17,https://talenthub.vectorinstitute.ai/jobs/129827239-intern-software-engineer-at-thales,,expired,2022-06-06T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Manufacturing ,Internship/Co-op,,New Posting, +151fdd72-60c1-42af-bfb7-bf077c160cb5,129862591,TD Bank Group,Data Engineer,on_site,"Toronto, ON",2022-06-06T21:06:23.409Z,"

                                Company Overview

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                @@ -333043,64 +340645,64 @@ c266dbf9-64ce-4921-9e0a-8724f8689c73,142721313,TD Bank Group,Data Steward II,on_

                                Department Overview

                                -

                                What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                                -

                                As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                                -

                                TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                                +

                                Our vision to be the Better Bank is grounded in our purpose-driven and forward-focused strategy. Amidst a rapidly changing landscape, we know that technology plays a critical role in achieving this vision and delivering on our strategy. It also signals the need to accelerate investment in emerging capabilities to adapt to the changes happening around us and respond to customer needs more quickly. To accomplish this, we’re evolving our Platforms, introducing key enterprise Practices and re-imagining our customer Journeys as part of the Next Evolution of Work (NEW).

                                +

                                NEW will empower colleagues to make decisions faster, work more efficiently and quickly identify and address customer and market trends to deliver innovative solutions at an unprecedented pace. NEW will enable us to move with purpose towards common goals, simplify how we work and elevate how we deliver customer value. By joining NEW, you’ll have the opportunity to be part of a new way of working while making an impact on the future of banking in ways you’ve never imagined.

                                +

                                Introducing the Data as a Service (DaaS) Platform! This Platform will develop a centralized data strategy and roadmap to enable TD to shift to a data-driven organization and help us extract value from the data we create, collect and consume. The Platform will include applications responsible for the creation and management of data lakes, standards, analytical tools and governance. DaaS will consolidate over ~110 assets and ~200 applications, aggregate our customer data, and bring together data subject matter experts from Practices, such as Data, Software Engineering and Quality Engineering.

                                Job Description

                                -

                                Delivery

                                -
                                  -
                                • Broad technical skills in all facets of data science: advanced analytics, statistical modelling, machine learning & data engineering
                                • -
                                • Build complex statistical models that learn from and scale to petabytes of data.
                                • -
                                • Parse vast data, identify needs and analytics trends, employs industry leading techniques and theories to improve business practices across the enterprise
                                • -
                                • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core deliverables
                                • -
                                • Accountable to lead & deliver complex, Agile, cross-functional projects that range widely in design, size, scale, scope and techniques
                                • -
                                • Self-directed with the ability to progress strategic opportunities in down times and effectively prioritize in busy times
                                • -
                                -

                                Expertise & Leadership

                                +

                                Are you an experienced data professional, equipped with both conceptual and practical expertise in business information management? If so, this role offers a hands-on and high growth career opportunity to provide business technical leadership across a broad range of information management functions while supporting various areas of data and analytics.

                                +

                                If you enjoy working with colleagues and project teams then this specialist role is for you! You’ll work with business and technology partners to understand business data to ensure the analysis and requirements provided align with the overall design and data management standards.

                                +

                                As a Business Information Management Data Practitioner, you will:

                                  -
                                • Analytical thought leadership and stay current on developments in data mining and the application of data science
                                • -
                                • Serve as an authority on a given business domain and provide business expertise to place context around analytics discovery
                                • -
                                • A champion in the D&A community for TD’s platforms and strategies, scanning for cutting edge solutions, and proactively identifying opportunities to advance tools, techniques and approaches
                                • -
                                • Communication and Stakeholder Management
                                • -
                                • Work closely with stakeholders to identify opportunities, implement solutions, and serve as an ambassador for data science across the enterprise
                                • -
                                • Advanced communication, business acumen and stakeholder management competencies
                                • -
                                • Collaborate with support functions such as risk, technology, model validation, OCDO etc. to increase the velocity of data science by enhancing policies, protocols & procedures within TD’s risk appetite
                                • -
                                • Exceptional collaborator in a high-interaction environment
                                • -
                                • Foresee needs from business partners to prescribe effective solutions
                                • -
                                • Leverage empirical evidence and facts to influence/support decision making
                                • -
                                • Collaborate with business partners to inform analytics output, support strategic planning, and prioritize key initiatives
                                • -
                                • Take ownership of team targets and strategies such as value generation and contribute to the overall management and culture of the team
                                • +
                                • Bring conceptual and practical level expertise to provide solutions and knowledge on a diverse range of tasks
                                • +
                                • Leverage your strong programming skills to develop a diverse range of data solutions and analyses, demonstrating your in-depth experience with very large datasets and big data technologies
                                • +
                                • Engage in business and data requirements to develop complete business solutions
                                • +
                                • Design and implement complex business data information management frameworks
                                • +
                                • Engage in testing of the technical information systems to ensure data integrity and system functionality
                                • +
                                • Collaborate with business and technology partners to resolve data issues and ensure requirements delivery and compliance (e.g. with enterprise framework, methodologies, financial controls, and other requirements)
                                • +
                                • Participate fully as a member of a Scaled Agile pod, support a positive work environment where everyone thinks like a customer, promotes quality and drives innovation

                                Requirements

                                -What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                +

                                Potential Candidates interested in this role should have:

                                  -
                                • Ability to translate business requirements into technical and analytical tasks
                                • -
                                • Demonstrated track record of leading major data science projects [or demonstrate ability]
                                • -
                                • Technical understanding and critical thinking to challenge status quo
                                • -
                                • Strong problem-solving skills, mathematical and data literacy
                                • -
                                • Flexibility to adapt and run with contending priorities and the ability to shift focus as dynamic business needs evolve
                                • -
                                • Strong interpersonal and communication skills, both written and verbal ability to tell a compelling story which can be consumed by business partners/executives
                                • -
                                • Demonstrated experience in data transformation and data manipulation.
                                • -
                                • Aspirations to build in-depth industry and retail banking knowledge including current trends in data, analytics and technology
                                • -
                                • Master’s degree or PhD in relevant fields; Mathematics, Physics, Biotech, Computer Engineering, Electrical Engineering, Geomatics
                                • -
                                • Expert proficiency with industry data tools; python/Ruby, R, SQL and Scala, cloud architecture
                                • -
                                • Strong understanding of data manipulation and visualization techniques, with preference to Esri – ArcGIS, Alteryx, SQL and Excel
                                • -
                                • Experience with big data tools, such as SCALA, SPARK, HADOOP, HDFS, HIVE, etc.
                                • -
                                • Experience with machine learning including supervised and unsupervised models.
                                • +
                                • Undergraduate degree or technical certificate in a relevant field
                                • +
                                • Experience from a statistical, mathematical, computer science, financial background or equivalent
                                • +
                                • Experience in data programming languages, patterns and design principles
                                • +
                                • Expertise in using analytical software tools, data analysis methods and reporting techniques
                                • +
                                • Expertise in data storage and movement, including relational and big data
                                • +
                                • Strong analytical and problem-solving skills
                                • +
                                • In-depth knowledge of competitor and market trends
                                • +
                                • Ability to analyze, organize and prioritize work while meeting multiple deadlines
                                • +
                                • Ability to work cooperatively and independently as part of a Scaled Agile pod
                                • +
                                • Effective communication skills (oral and written) with the ability to build positive relationships across teams
                                • +
                                • Act as a brand champion for our business area / function and TD, both internally and externally

                                Additional Information

                                -#datascientist #LI-Hybrid

                                -

                                Locations:
                                Toronto
                                Montreal
                                Markham
                                London
                                Ottawa

                                -

                                * L7- L10

                                +Data engineering:

                                +
                                  +
                                • Degree in Computer Science
                                • +
                                • Preferred course work – Java, .net, RDBMS (Relational data base management system), Agile concepts, Cloud concepts
                                • +
                                +

                                #dataengineer #LI-Hybrid

                                +

                                Locations:

                                +
                                  +
                                • Toronto
                                • +
                                • Montreal
                                • +
                                • Markham
                                • +
                                • London
                                • +
                                • Ottawa
                                • +
                                • New Jersey, USA
                                • +
                                • Delaware, USA
                                • +
                                +
                                * L7- L10

                                Hours

                                @@ -333109,407 +340711,121 @@ c266dbf9-64ce-4921-9e0a-8724f8689c73,142721313,TD Bank Group,Data Steward II,on_

                                Inclusiveness

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                -
                                ",,https://jobs.td.com/en-CA/jobs/15700638/data-scientist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-08-17T19:10:06.609Z,False,0,14,51,https://talenthub.vectorinstitute.ai/jobs/137266392-data-scientist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15700638/data-scientist-toronto-ca/,expired,2022-07-14T21:07:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -c9e7ca78-3e5c-4414-a16a-b72d7b5035a7,137707889,Cohere AI,"Software Engineer, ML Production",on_site,Toronto /,2022-07-17T05:07:04.031Z,"
                                -
                                Who are we?
                                -
                                We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learn to understand the meaning, sentiment, and intent of the words we use in a richness never seen before.
                                -

                                -
                                We recently raised our Series B, signed a multi-year partnership with Google Cloud, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.
                                -

                                -
                                We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, (over 23k citations) and was previously part of Google Brain. Our entire technical team is world-class.
                                -

                                -
                                We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.
                                -

                                -
                                Why this role?
                                -
                                This role sits at the intersection between machine learning and software engineering. It is a high-impact position in delivering large-scale language models that Cohere builds. This role will focus on system designs of model inference runtimes and model production pipelines to ensure that our models run efficiently and reliably in various environments. In addition, this role will work closely with the latest ML frameworks to integrate cutting-edge model runtimes.
                                -

                                -
                                -Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! We are looking for candidates based in Canada for this role.
                                -
                                -

                                As a Software Engineer, you will:

                                -
                                    -
                                  • Build model inference framework and infrastructure.
                                  • -
                                  • Build model production pipeline tools.
                                  • -
                                  • Integrate various third party model runtimes.
                                  • -
                                  • Build model performance profiling tools.
                                  • -
                                  • Optimize frameworks and improve system design.
                                  • -
                                -
                                -

                                You may be a good fit if you have:

                                -
                                    -
                                  • Extensive software engineering experience writing production-quality code.
                                  • -
                                  • Experience optimizing systems and tools.
                                  • -
                                  • Basic understanding of machine learning workflow.
                                  • -
                                  • Bonus: experience in at least one ML framework such as Tensorflow, PyTorch, or JAXBonus: experience writing kernels for GPUs using CUDA.
                                  • -
                                -
                                -
                                If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                -

                                -
                                We welcome applicants of all kinds and are committed to providing both an equal opportunity process and work environment. We value and celebrate diversity and strive to create an inclusive work environment for all.
                                -

                                -
                                Our Perks:
                                -
                                🤝 An open and inclusive culture and work environment
                                -
                                🧑‍💻 Work closely with a team on the cutting edge of AI research
                                -
                                🍽 Free daily lunch
                                -
                                🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                -
                                🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
                                -
                                🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                -
                                🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend
                                -
                                ✈️ 6 weeks of vacation and shared Canada/US/UK holidays
                                -

                                -
                                #LI-Remote
                                -
                                ",,https://jobs.lever.co/cohere/76faca41-c663-4e51-aee1-c96afa6058b7,feed-importer@jobboard.io,,,,2022-08-17T19:14:02.688Z,False,0,1,30,https://talenthub.vectorinstitute.ai/jobs/137707889-software-engineer-ml-production-at-cohere-ai,https://jobs.lever.co/cohere/76faca41-c663-4e51-aee1-c96afa6058b7,expired,2022-07-17T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,Bachelors Degree,New Posting, -69a43b52-18c2-4333-842d-1e0e94f16eea,144853702,EY,Senior - Data Governance and Strategy - Toronto,on_site,Toronto,2022-08-18T04:44:03.009Z,"

                                Senior - Data Governance and Strategy - Toronto

                                -
                                Location: Toronto
                                -
                                Other locations: Primary Location Only
                                -
                                Date: Sep 4, 2022
                                -

                                At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

                                -

                                -

                                The opportunity

                                We are looking for a Senior Consultant, Data Governance and Strategy who will be joining EY’s DnA team in this exciting period of growth will offer a huge variety of opportunity to make a tangible impact to our clients’ businesses and to your career. We provide constant room for growth through client engagements and personal development. Our practitioners develop and lead innovative data techniques and methods, supporting both business and technology leaders. This role provides the unique opportunity to build a professional network, tackle complex data issues, and drive cutting edge approaches across industry leading clients and domains. The experiences you gain here will be more valuable than anywhere else. We are currently seeking management consultants with experience in the various data management related capabilities - including data governance, data operating model, data strategy, etc. to lead and implement leading - edge data management and strategy projects.

                                -

                                Your key responsibilities

                                -
                                • Perform Data Management and Governance reviews, Data Maturity assessments
                                • Develop, and implement plans that will roll out the Data Management and Governance programs within the client organization
                                • Conduct current state assessments, evaluate assessment results, and present findings in a logical and easy-to-understand manner
                                • Perform gap analyses to determine initiatives and build out roadmaps to address identified gaps focused on communication plans, governance structures, and investment prioritization for execution
                                • Assist with implementation of the Data Management and Governance programs within the client organization
                                • Assist with data architecture reviews and advise on data solutions that pertain to Data Governance programs (Data Catalogue, Data Quality, Business Glossary, data tools/software, metadata management, master data management, Lineage)
                                • Utilize subject matter expertise and knowledge of client’s business to develop proposals
                                • Develop our people through coaching, talent development, recruitment, and formal performance management
                                • -Work with the Data & Analytics (D&A) team to develop thought leadership in the Data Management space through collaborating with EY’s internal resources, participating in industry events, etc.
                                • -
                                -

                                Skills and attributes for success

                                -
                                • Be self-motivated and passionate about data strategy, management, and governance
                                • Ability to meet deadlines and manage project delivery
                                • Superior communication and interpersonal skills
                                • -Utilize subject matter expertise and knowledge of client’s business to develop proposals
                                • -
                                -

                                To qualify for the role, you must have

                                -
                                • 2+ years of experience in and understanding of concepts and frameworks pertaining to Data Management- Data Governance, Data Policy, Data Lineage, Data Models, Data Quality, Data Risk and Control Frameworks, Data Literacy, Reference Data Management, Metadata Management
                                • Experience working within Financial Services /Retail/Oil and Gas in a data management related role
                                • Worked with or have an understating of EDM Council DCAM assessment or an alternative data maturity assessment; be certified in EDM Council DCAM Assessment
                                • Experience with data management tools such as Collibra, Informatica, Ataccama, etc.
                                • Advanced problem-solving skills, superior communication (verbal and written) with the ability to lead meetings, hold workshops with executives, communicate complex ideas effectively, advocate solutions and results to technology and business audiences
                                • Experience working independently, efficiently, and effectively under tight timelines and delivering results by critical deadlines
                                • Experience with client-facing activities such as requirements gathering, facilitating meetings, presentation creation, and ability to prepare client ready deliverables
                                • Experience of Agile and traditional SDLC delivery methodologies
                                • Strong analytical and problem-solving skills
                                • -
                                -


                                Ideally, you’ll also have

                                -
                                • Prior consulting experience
                                • Experience monitoring performance, reporting, and economics of ongoing progress for the major initiatives of the business unit you support
                                • Project management and process development expertise in client serving roles
                                • Strong organizational and time-management skills
                                • Ability to lead teams and take accountability for delivery
                                • -
                                -


                                What we look for

                                We’re interested in natural leaders with a genuine creative vision and the confidence to make it happen. You can expect plenty of autonomy in this role, so you’ll also need the ability to take initiative and seek out opportunities to improve our current relationships and processes. If you have a genuine passion for helping businesses achieve their full potential, this role is for you.

                                -

                                What EY offers

                                At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

                                -

                                We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

                                -
                                • Support and coaching from some of the most engaging colleagues in the industry
                                • Learning opportunities to develop new skills and progress your career
                                • The freedom and flexibility to handle your role in a way that’s right for you
                                • -
                                -


                                EY Way of Work and your health and safety

                                EY Way of Work recognizes flexibility in the way we collaborate, innovate and deliver with the ability to work in-person and remotely. To support a healthy and safe in-person working environment, EY has implemented various layers of health and safety controls while working in the office or at client or other locations. A critical component of EY’s workplace safety program includes our COVID-19 vaccination policy which requires all personnel to be fully vaccinated against COVID-19 unless an accommodation based on a reason protected by human rights legislation is provided.

                                -

                                -

                                If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

                                The exceptional EY experience. It’s yours to build.

                                -

                                -

                                EY | Building a better working world

                                -

                                -

                                EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

                                -

                                -

                                Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

                                -

                                -

                                Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

                                ",,https://careers.ey.com/ey/job/Toronto-Senior-Data-Governance-and-Strategy-Toronto-ON-M5H-0B3/816744701/,feed-importer@jobboard.io,,,,2022-09-13T04:49:04.265Z,False,0,4,20,https://talenthub.vectorinstitute.ai/jobs/144853702-senior-data-governance-and-strategy-toronto-at-ey,https://careers.ey.com/ey/job/Toronto-Senior-Data-Governance-and-Strategy-Toronto-ON-M5H-0B3/816744701/,expired,2022-08-18T04:44:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Bachelors Degree,New Posting, -fed77219-3d6e-4130-93ee-8245a95fbc56,143593890,Scotiabank,Senior Data Architect,on_site,Canada : Ontario : Toronto,2022-08-11T20:19:08.106Z,"

                                -

                                -

                                +
                                ",,https://jobs.td.com/en-CA/jobs/13893391/data-engineer-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-06-20T21:11:15.083Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/129862591-data-engineer-at-td-bank-group,https://jobs.td.com/en-CA/jobs/13893391/data-engineer-toronto-ca/,expired,2022-06-06T21:06:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +b2c2ffff-5eb8-4356-984b-621f808742b6,131511358,Scotiabank,Data Analyst,on_site,Canada : Ontario : Toronto,2022-06-14T05:07:06.600Z,"

                                -

                                Requisition ID: 152650

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                Purpose:

                                -


                                The CIDA team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is produced, consumed, and managed at an enterprise level to drive business value. The aim is to provide a truly productized offering of re-usable data that can be delivered iteratively through a streamlined process and framework in order to meet the velocity that will allow data consumers to focus on delivering business value. We are looking to build our delivery team with influencers, makers, creators and industry leaders who will drive us forward.

                                -


                                As part of the Data Enablement & Architecture team within the Data Office, the candidate will identify and prioritize opportunities to leverage data effectively. They will take a leading role in project-based initiatives to drive innovation and data transformation throughout the Bank with a focus on both business growth and sustainable data. The Senior Solutions Lead role requires strong data skills on Cloud and Big Data environments as well as a drive for innovation, flexibility, collaboration, and effective teamwork.

                                -


                                We are looking for someone who will work closely with other software engineers, data engineers, data architects, technology leads, analytics teams, infrastructure teams and other development/engineering teams in the bank to design and develop the technical solutions for enterprise data capabilities.

                                -

                                Key Accountabilities:

                                -


                                • Design Solution Patterns for data management on both on-Prem and Cloud environments.
                                • Work closely with Data Office teams to design integration solutions for data products
                                • Provide consulting to business units on developing conceptual, logical and physical data models
                                • Provide consulting to business units on developing the data solutions.
                                • Participate in Architecture Governance forums and contribute to solution design libraries
                                • Work with business units communicate/educate and maintain adherence to data design standards and best practices
                                • Participate in evolution of data platform, analytical and data management tools and roadmap
                                • Collaborate with Business, IT and external stakeholders to identify and implement new technology solutions, tools and platform selection process through POCs and project deliveries.

                                +

                                Requisition ID: 154505

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                Functional Competencies:

                                -


                                • Strong Design and hands-on experience building data management solutions
                                • Solid understanding of design integration and application development using REST API's, Microservices and Streaming technologies
                                • Experience building data solution patterns/design for the enterprise
                                • Strong understanding of conceptual, logical and physical data models
                                • Hands-on experience with big data ecosystems such as Hortonworks, Cloudera, Google Cloud, Azure and NoSQL
                                • Tools skills/experience: Data modeling or architecture software (e.g. ERWin), BI visualization software (e.g. Qlikview, Tableau), Data catalog software (e.g. Collibra), and Industry Data Models (e.g. Financial Services Data Model – FSDM) , Full-text Search (e.g. Elasticsearch), REST API,SOAP,Microservices and Streaming Technologies
                                • Strong analytical and quantitative skills, consistent with a customer focus and a deep understanding of the content and of business needs.
                                • Subject area experience with Financial Industry products and services preferred: Retail Banking/Lending, Commercial Banking/Lending, Capital Markets, and Wealth Management
                                • Subject area experience with anti-money laundering compliance, RDARR, Sarbanes-Oxley compliance, and regulatory compliance is an asset
                                • Experience in data project implementation lifecycles
                                • Ability to understand and suggest solutions to data design on an enterprise level
                                • Strong communication skills, both written and spoken
                                • Attention to details, high standards for quality.
                                • Desire to learn, grow yourself and your team.
                                • Passion for driving teams towards high performance and a deep pride in quality craftsmanship that delights users.
                                • Writing and maintaining related documentation.
                                • Ability to be an effective influencer on technology direction / an effective evangelist.
                                • Helps recruit + groom technology leaders and future leaders.

                                +

                                Purpose

                                +


                                The Data Analyst, Retail Sales Practices Insights, is responsible for providing analysis that will help the Bank to balance business growth and a continued focus on the customer. The incumbent will support efforts to identify, analyze & test for sales practices vulnerabilities and opportunities using data, and create action plans to resolve. This involves working with large datasets and distributed computing tools to create structures and analysis environments.

                                -

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Architect-ON-M5C2V9/559806317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-09-14T13:12:12.956Z,False,0,0,6,https://talenthub.vectorinstitute.ai/jobs/143593890-senior-data-architect-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Architect-ON-M5C2V9/559806317/,expired,2022-08-11T20:19:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -d654f42b-afc3-46e7-a78f-e1aea6d3c6e0,146893157,Scotiabank,"Drive, Data & Analytics Rotational New Graduate Program",on_site,Canada : Ontario : Toronto,2022-08-29T20:19:10.866Z,"

                                +

                                Key Accountabilities

                                +

                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

                                +

                                • Analyze employee & customer data and information to identify insights that support the Retail Sales Practices mandate by:

                                +

                                o Acting as the subject matter expert for retail sales practices analytics, analyzing employee sales results, customer transaction and channel activity data to drive insights related to employee behavior and customer experience in channels using advanced statistical and analytical techniques
                                o Support the presentation of ideas and findings with actionable recommendations to all levels in an easily consumable manner
                                o Transforming and cleaning large data sets, including structured and unstructured data
                                o Performing data mining & modelling

                                -

                                Requisition ID: 161299

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                • Develop and maintain testing criteria and methodologies to ensure that the right level of monitoring is taking place for Retail Distribution supporting positive customer outcomes.

                                +

                                o Adhere to appropriate and consistent testing protocols, methodologies and standards for detection of improper sales conduct.
                                o Assist in establishing acceptable thresholds for each reported data stream to delineate outlier behaviours

                                -

                                Drive, Data & Analytics Rotational New Graduate Program

                                -

                                -

                                Start Date: June 2023

                                -

                                Location: Toronto, Ontario

                                -

                                -

                                What can I expect from the Drive program?

                                -

                                -

                                The Drive program is a 24-month rotational program designed to provide recent grads passionate about technology with the opportunity to kick-start their career in Data & Analytics by learning the foundational elements of Scotiabank’s Customer Insights Data & Analytics (CID&A) business line. Across their time in program associates will rotate to three areas for 8 months each: Data, Analytics, and Technology. The specific team alignment will be based on business needs with a focus on providing you with insights and breadth of knowledge about this space.

                                -

                                -

                                Through the program you will learn about end-to-end processes from model development to tech implementation and deployment. You can expect mentoring from passionate leaders in the space of Data, Analytics and Technology to support you on your journey and help guide you as you develop technical skills and understanding, setting you up for success to be a future leader in CID&A. After successfully completing the program, our goal is for you to take your learnings into a permanent role where you will continue to innovate and support all business lines at the Bank to leverage data for decision making and innovation to better serve our customers.

                                -

                                -

                                Is this program right for me?

                                -

                                You are graduating by June 2023 or are a recent graduate who is curious and excited to learn about continuous integration and deployment. You have a passion for problem solving and spend your free time creating solutions and tinkering with new and old technologies, ensuring you understand the process end-to-end. You thrive in an ever-changing environment and want to be a part of something BIG. You love to learn and envision yourself working for an international organization that invests in your future.

                                -

                                -

                                You have acquired basic knowledge in object-oriented programming, and database programming. You consider yourself someone who can translate business objectives into technical priorities. When you look back on your undergrad, you have fond memories of being involved in extracurricular activities such as hackathons or technology conferences. You are not afraid to roll up your sleeves to get things done!

                                -

                                -

                                More specifically, you have some or all of the following:

                                -
                                • Strong technical skills with Python, Java, or Scala
                                • Solid knowledge of SQL
                                • Familiarity with Big Data ecosystem (Hadoop/Spark etc.), relational databases and/ or graph databases
                                • Familiarity with Apache Spark, Docker, Jenkins, Kubernetes, BI Tools (Tableau, PowerBI)
                                • -
                                -

                                -

                                How do I apply?

                                -

                                Please complete all three steps below:

                                -
                                1. Complete your PLUM Profile here and save as a screenshot.
                                2. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
                                3. -Complete a coding test through Codility here prior to applying though our career site. You are only allowed one attempt and the assessment must be completed individually. -
                                4. -
                                -

                                -

                                Application Deadline: September 21, 2022 at 11:59PM EST

                                +

                                • Develop and maintain consistent sales practices oversight and monitoring by:

                                +

                                o Support direction setting for analysis and associated data visualization
                                o Assisting in the improvement of operational activities by identifying and implementing process improvements, identifying methods to monitor and maintain oversight and potential enhancements

                                -

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Drive%2C-Data-&-Analytics-Rotational-New-Graduate-Program-ON/562719717/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-09-15T16:00:00.000Z,False,0,2,17,https://talenthub.vectorinstitute.ai/jobs/146893157-drive-data-analytics-rotational-new-graduate-program-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Drive%2C-Data-&-Analytics-Rotational-New-Graduate-Program-ON/562719717/,expired,2022-08-29T20:19:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, -2c8a3be8-cf13-4787-81f0-4cf928096671,150794029,Scotiabank,Senior Data Architect,on_site,Canada : Ontario : Toronto,2022-09-14T20:19:18.986Z,"

                                +

                                • Coordinate the dissemination of outputs, insights & results by:

                                +

                                o Enabling self-service reporting and analysis by end users
                                o Creating communication frameworks
                                o Creating executive dashboards
                                o Establishing and following through on feedback for sales practices outlier reporting coordinated through the Regional and District teams.
                                o Using feedback outcomes to refine analysis, insights and understanding of the data

                                +

                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

                                +

                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

                                +

                                • Champions a high performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment; communicating vison/values/business strategy and managing succession and development planning for the team

                                -

                                Requisition ID: 152650

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                Education and Other Requirements

                                -

                                Purpose:

                                -


                                The CIDA team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is produced, consumed, and managed at an enterprise level to drive business value. The aim is to provide a truly productized offering of re-usable data that can be delivered iteratively through a streamlined process and framework in order to meet the velocity that will allow data consumers to focus on delivering business value. We are looking to build our delivery team with influencers, makers, creators and industry leaders who will drive us forward.

                                -


                                As part of the Data Enablement & Architecture team within the Data Office, the candidate will identify and prioritize opportunities to leverage data effectively. They will take a leading role in project-based initiatives to drive innovation and data transformation throughout the Bank with a focus on both business growth and sustainable data. The Senior Solutions Lead role requires strong data skills on Cloud and Big Data environments as well as a drive for innovation, flexibility, collaboration, and effective teamwork.

                                -


                                We are looking for someone who will work closely with other software engineers, data engineers, data architects, technology leads, analytics teams, infrastructure teams and other development/engineering teams in the bank to design and develop the technical solutions for enterprise data capabilities.

                                +

                                • University degree in mathematics, computer science, finance, engineering, or related discipline
                                • Excellent analytical skills and experience analyzing and reporting on data
                                • Heavy analytics for multiple stake holders reaching up to EVP level
                                • Reporting design, creation, and delivery
                                • Excellent analytical skills and proven experience analyzing and reporting on data
                                • SAS (and/or SQL experience)
                                • Strong Excel skills
                                • Experience with data visualization tools like Power BI or Tableau would be an asset
                                • Understanding of Canadian retail banking
                                • Flexible, motivated, and results oriented
                                • Ability to work in cross-functional teams and build networks and relationships

                                -

                                Key Accountabilities:

                                -


                                • Design Solution Patterns for data management on both on-Prem and Cloud environments.
                                • Work closely with Data Office teams to design integration solutions for data products
                                • Provide consulting to business units on developing conceptual, logical and physical data models
                                • Provide consulting to business units on developing the data solutions.
                                • Participate in Architecture Governance forums and contribute to solution design libraries
                                • Work with business units communicate/educate and maintain adherence to data design standards and best practices
                                • Participate in evolution of data platform, analytical and data management tools and roadmap
                                • Collaborate with Business, IT and external stakeholders to identify and implement new technology solutions, tools and platform selection process through POCs and project deliveries.

                                +

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Data-Analyst-ON-M5C2W1/560476217/,feed-importer@jobboard.io,,,,2022-06-20T15:30:00.000Z,False,0,3,8,https://talenthub.vectorinstitute.ai/jobs/131511358-data-analyst-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Analyst-ON-M5C2W1/560476217/,expired,2022-06-14T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +ecc250f3-8938-47bf-bc42-6e9f0059c94b,127070279,Scotiabank,Senior Data Analyst,on_site,Canada : Ontario : Toronto,2022-05-24T05:06:05.840Z,"

                                -

                                Functional Competencies:

                                -


                                • Strong Design and hands-on experience building data management solutions
                                • Solid understanding of design integration and application development using REST API's, Microservices and Streaming technologies
                                • Experience building data solution patterns/design for the enterprise
                                • Strong understanding of conceptual, logical and physical data models
                                • Hands-on experience with big data ecosystems such as Hortonworks, Cloudera, Google Cloud, Azure and NoSQL
                                • Tools skills/experience: Data modeling or architecture software (e.g. ERWin), BI visualization software (e.g. Qlikview, Tableau), Data catalog software (e.g. Collibra), and Industry Data Models (e.g. Financial Services Data Model – FSDM) , Full-text Search (e.g. Elasticsearch), REST API,SOAP,Microservices and Streaming Technologies
                                • Strong analytical and quantitative skills, consistent with a customer focus and a deep understanding of the content and of business needs.
                                • Subject area experience with Financial Industry products and services preferred: Retail Banking/Lending, Commercial Banking/Lending, Capital Markets, and Wealth Management
                                • Subject area experience with anti-money laundering compliance, RDARR, Sarbanes-Oxley compliance, and regulatory compliance is an asset
                                • Experience in data project implementation lifecycles
                                • Ability to understand and suggest solutions to data design on an enterprise level
                                • Strong communication skills, both written and spoken
                                • Attention to details, high standards for quality.
                                • Desire to learn, grow yourself and your team.
                                • Passion for driving teams towards high performance and a deep pride in quality craftsmanship that delights users.
                                • Writing and maintaining related documentation.
                                • Ability to be an effective influencer on technology direction / an effective evangelist.
                                • Helps recruit + groom technology leaders and future leaders.

                                +

                                Requisition ID: 151215

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Architect-ON-M5C2V9/559806317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-09-15T16:00:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/150794029-senior-data-architect-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Architect-ON-M5C2V9/559806317/,expired,2022-09-14T20:19:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -5ca567f2-e04a-4f0d-9461-ffdf23f972b5,144414110,Magna International,Data Engineer,on_site,"AURORA, ONTARIO, CA, L4G 3M7",2022-08-16T05:07:20.992Z,"
                                -
                                -

                                Role Summary

                                -

                                Magna International is looking for a strong and ambitious Data Engineer for our Analytics practice.
                                The Data Engineer role at Magna International will build and orchestrate synchronous and asynchronous data pipelines integrating heterogeneous business systems for both EAI and BI use cases.

                                -
                                -
                                -

                                Key Responsibilities

                                -
                                -

                                Builds ETL data pipelines using Talend tool portfolio and SQL code.
                                Models Database objects to fulfil data pipeline requirements
                                Designs following integrations:

                                -
                                • ETL jobs using incremental load patterns, using technologies like Change Data Capture (CDC) or Change Tracking
                                • Services for APIs using technologies such as REST to be consumed synchronously by client application
                                • Subscription based workflows triggering ETL actions based on events at source system
                                • Embedded mapping and casting of data from heterogenous source and target systems and formats
                                • -
                                -

                                Responsible for development, testing, documentation and performance of data pipelines, understanding and optimizing impact on source and target systems.
                                Works closely with:

                                -
                                • Business analysts, system owners to gain understanding of business processes and corporate data
                                • Business intelligence developers to ensure that integrations are correct and performing optimally.
                                • -
                                -

                                Contribute to architectural decisions to support business processes
                                Provide production support for data solutions

                                -
                                • Complete root cause analysis and contribute to remediation planning and implementation
                                • Perform data quality analysis, report data quality issues and propose solutions for data quality management
                                • -
                                -
                                -
                                -
                                -

                                Key Qualifications/Requirements

                                -
                                -

                                Bachelor’s in Information Technology or a related field (experience will be considered in lieu of education requirement)
                                3+ years of:

                                -
                                • ETL development experience with T-SQL, Talend or other graphical ETL tools (Datastage, SSIS, Informatica, Ab Initio, PowerCenter, IBM InfoSphere, Pentaho)
                                • SQL development, preferably in multiple database management platforms, and working with normalized relational databases and dimensional data warehouse implementation
                                • -
                                -

                                Ability to manage multiple projects simultaneously and deliver results in a timely manner. Ability to work independently, under pressure, and adaptable to change.
                                Manufacturing experience and SAP knowledge are a plus.
                                Familiarity with various relational and non-relational database management systems, in particular Microsoft classic and cloud ecosystem.
                                Architectural understanding of data hub oriented integrations as single point of orchestration.
                                Hands on knowledge in the design of data flows that facilitate data harvesting for automated genealogy documentation in a data catalog.
                                Able to work in various delivery methodologies (Agile – Scrum/SAFe, Waterfall, Kanban, etc.).
                                Ability to read, interpret, analyze, and communicate effectively verbally and in written form.
                                Familiarity with UML Sequence diagrams.
                                Knowledge of data integration patterns across various functions of the enterprise.
                                Experience with cloud-based solutions preferably on Microsoft stack.

                                -
                                • Azure Synapse
                                • Data Factory
                                • Data Lake
                                • -
                                -

                                Experience implementing and supporting scalable solutions, with a solid understanding of database locking escalation and other concurrency related mechanisms.
                                Understanding of when and how to use table partitioning and other data insertion, storage and distribution approaches.

                                -
                                -
                                -
                                -

                                Additional Information

                                -
                                -

                                Regular travel up to 25% of the time.

                                -

                                For dedicated and motivated employees, we offer an interesting and diversified job within a dynamic global team together with the individual and functional development in a professional environment of a global acting business. Fair treatment and a sense of responsibility towards employees are the principle of the Magna culture. We strive to offer an inspiring and motivating work environment.

                                -

                                We offer attractive benefits (e.g. employee profit participation program) and a salary which is in line with market conditions depending on your skills and experience.

                                -
                                -
                                -
                                -

                                Awareness. Unity. Empowerment.

                                -

                                At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                                -
                                -
                                ",,https://jobs.magna.com/job/AURORA-Data-Engineer-ONTA-L4G-3M7/562374317/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2022-09-17T12:54:50.193Z,False,0,3,25,https://talenthub.vectorinstitute.ai/jobs/144414110-data-engineer-at-magna-international,https://jobs.magna.com/job/AURORA-Data-Engineer-ONTA-L4G-3M7/562374317/,expired,2022-08-16T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Manufacturing ,Mid-Senior Level,Bachelors Degree,New Posting, -2a83101a-98fe-441f-b39a-73683ae213a1,151714774,Magna International,"Senior Manager, Data & Analytics",on_site,"AURORA, ONTARIO, CA, L4G 3M7",2022-09-18T05:08:02.609Z,"
                                -
                                -

                                Role Summary

                                -
                                -

                                The Senior Manager, Data & Analytics is managing a globally distributed team of internal experts, contractors, consultants and vendors with the core mission to derive insights from data helping Magna to generate competitive advantages and improve the operational & financial performance. You will be working closely with various stakeholders across the organization to enable advanced analytics and business intelligence use cases by applying the right technology to transform data into real, tangible business value. The role is also responsible to address the growing demand for event driven integration across Magna’s heterogeneous application ecosystem.

                                +

                                The Team
                                Oversees Finance Data Management & Data Services within Global Finance & Risk Technology (GFRT) provides analytics and support services for Global Finance Initiatives. The Finance Data Management Data Services team supports Financial Close Processes and provide Financial Data Management, Data Analysis, Data Quality and Data Governance services for Toronto/Canada. The team is heavily involved in business transformation projects and equivalency testing during migrations.

                                -

                                To be successful in this role, you need to have experience leading delivery and ownership of enterprise application integration, data & analytics capabilities, and its underlying technology platforms. You will need to be comfortable engaging with numerous teams across the enterprise to align on priorities and roadmaps. You will also need to be comfortable with managing software engineering work and overseeing a large service and project portfolio.

                                -
                                -
                                -
                                -

                                Key Responsibilities

                                -
                                • Lead development of analytic data products, including pilots and proof of concepts.
                                • Execute data strategies to support various consumption patterns and identify enterprise architecture, platforms, and data infrastructure needs.
                                • Drive strategy & approach for data hubs, lakes, warehouses & supporting integrations architecture in a heterogeneous environment; optimizing cloud costs, ensuring re-usability to support both integrations and analytics, while driving operational efficiency, governance & security.
                                • Lead the team in consulting with business partners to help establish efficient analytics and business intelligence tools, frameworks, and capabilities. Educate business leaders about self-service tools and provides support for teams as they stand up internal functions.
                                • Enable event-driven architecture for enterprise application integration, build and operate a robust & versatile integration layer.
                                • Strongly participate in Magna’s Data Literacy initiative; Drive a CoE / Community for Data, BI & Analytics in collaboration with various stakeholders in the different lines of business.
                                • Grow and develop a full stack team responsible for delivery & support of data solution, drive strategic workforce planning to minimize reliance on third-party vendors/consultants, while increasing internal capabilities and creating robust career pathway opportunities.
                                • Budget management including people, software, and services.
                                • -
                                -
                                -
                                -

                                Education, Knowledge and Work Experience

                                -
                                • Bachelor and/or Master in Information Technology OR technical related field OR equivalent working experience.
                                • 7+ years of experience in delivery & support of data solutions / technology, and 5+ years as a people leader overseeing a broad range of talent across multiple work locations.
                                • -
                                -
                                -
                                -

                                Key Qualifications/Requirements

                                -
                                • Proven track record in building & sustaining high performing team capable of driving technical modernization efforts in parallel to delivering on business commitments.
                                • Strong track record of managing external vendors and service providers, including cloud cost optimization & ongoing active management.
                                • Experience in managing complex delivery initiatives in highly dynamic, global organization.
                                • Ability to thrive in a fast-paced environment across multiple time zones and locations.
                                • Ability to drive through directly and through influence, with agility and leadership skills which engineers recognize and respect.
                                • Experience designing, building & operating large Cloud-ready, scalable data solutions.
                                • Strong knowledge of integration design patterns and experience in working on large scale integration projects, strong understanding of Data Mesh and Data Fabrics concepts.
                                • Previous experience establishing data governance & security / access model in partnership with key business partners considered a strong asset.
                                • Hands-on experience with data & analytics technology & integration platforms.
                                • Excellent English language skills (written and oral).
                                • Solid German language skills (written and oral) is of advantage.
                                • -
                                -
                                -
                                -

                                Additional Information

                                -
                                -

                                Regular travel up to 25% of the time.

                                +

                                The Role
                                As a Data Engineer you are required to participate in multiple finance transformation projects, liaise with stakeholders on new business initiatives, delivering solutions to meet the needs of multiple lines of business, and interfaces extensively with business clients. The incumbent will have a minimum of 2 to 3 years of strong expertise querying data from ledgers, data models, database design and an understanding of the Bank's financial data. The individual must thrive on challenge, be proactive, and demonstrate initiative, coaching the data engineers and eagerness to learn.

                                +


                                Some of the key accountabilities include:

                                +

                                • Work with senior team members (architects, developers, testers) to develop and implement data solutions for finance reporting systems
                                • Analyze data in both Financial Systems and Big Data environments
                                • Support senior team members through research assignments and proof of concepts
                                • Demonstrate a passion for problem solving and data presentation technologies
                                • Facilitate UAT testing for system migration and new initiatives
                                • Report development and support for internal customers; including executives analytical minded skillset
                                • Provide analytical support to company leadership by providing ad-hoc analysis and data trouble shooting support
                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                • Builds a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment and using a coaching mindset and behaviors; communicating vison/values/business strategy; and managing succession and development planning for the team.

                                -

                                For dedicated and motivated employees, we offer an interesting and diversified job within a dynamic global team together with the individual and functional development in a professional environment of a global acting business. Fair treatment and a sense of responsibility towards employees are the principle of the Magna culture. We strive to offer an inspiring and motivating work environment. We offer attractive benefits (e.g. employee profit participation program) and a salary which is in line with market conditions depending on your skills and experience.

                                -
                                -
                                -
                                -

                                Awareness. Unity. Empowerment.

                                -

                                At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                                -
                                -
                                ",,https://jobs.magna.com/job/AURORA-Senior-Manager%2C-Data-&-Analytics-ONTA-L4G-3M7/561723617/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2022-10-06T05:14:08.475Z,False,0,1,16,https://talenthub.vectorinstitute.ai/jobs/151714774-senior-manager-data-analytics-at-magna-international,https://jobs.magna.com/job/AURORA-Senior-Manager%2C-Data-&-Analytics-ONTA-L4G-3M7/561723617/,expired,2022-09-18T05:08:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Manufacturing ,Senior Level,PhD,New Posting, -173e96e0-f13f-48dd-806f-fb45ed238ead,152575721,BenchSci,Director of Data Engineering,on_site,"Toronto, Ontario /",2022-09-22T05:09:22.630Z,"
                                -
                                BenchSci is a remote first organization. At this moment, we are welcoming applicants from Canada, the US and the UK for this position.
                                +

                                What You Will Bring to Succeed
                                • Advanced level SQL design / reporting / data mining experience or familiar with using ACL
                                • CPA/CA or Accounting/finance knowledge with computer science/data sciences certification is preferred.
                                • Data Modeling experience with Agile methodology and familiar with scrum meetings and sprint planning.
                                • Analytical and Detail-oriented
                                • Report development and support for internal and external customers; including executives analytical minded skillset.

                                +

                                +

                                The Workplace
                                • We are technology partners who help the business transform how our employees around the world work
                                • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
                                • We foster an environment of innovation and continuous learning
                                • We care about our people, allowing them to design how they work to deliver amazing results
                                • We offer a competitive total rewards package, including a performance bonus, company matching programs (on pension & profit sharing), and generous vacation

                                +

                                +

                                Scotiabank
                                As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                +


                                Is this Role not the Exact fit?
                                Sign up to stay in touch; we’ll let you know when we have new positions on the team.

                                +


                                +

                                +

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Analyst-ON-M5H1H1/559377817/,feed-importer@jobboard.io,,,,2022-06-24T15:26:33.493Z,False,0,0,10,https://talenthub.vectorinstitute.ai/jobs/127070279-senior-data-analyst-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Data-Analyst-ON-M5H1H1/559377817/,expired,2022-05-24T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +9c7e2240-8925-4e8a-926f-0482e205dd9a,127498448,Cohere AI,"Software Engineer, ML Frameworks",on_site,Toronto /,2022-05-26T05:06:07.214Z,"
                                +
                                Who are we?
                                +
                                We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learn to understand the meaning, sentiment, and intent of the words we use in a richness never seen before.

                                -
                                BenchSci's vision is to help scientists bring novel medicine to patients 50% faster by 2025. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                                -
                                Backed by F-Prime, Inovia, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                                +
                                We recently raised our Series B, signed a multi-year partnership with Google Cloud, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.

                                +
                                We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, (over 23k citations) and was previously part of Google Brain. Our entire technical team is world-class.

                                -
                                We are looking for a seasoned Director of Data Engineering, who lives and breathes tackling data challenges to join our growing team. This is a challenging, impactful, and highly collaborative position. Reporting to the Sr. Director of Data Engineering, Machine learning, and Bioinformatics, you will be responsible for spearheading our Data ingestion and modeling initiatives, working across a wide variety of biomedical data, and helping the team to extract scientific insights.
                                -
                                You will help the teams to translate the platform vision and define the direction to build, validate, productionize, and maintain BenchSci’s Data Pipeline. You will play a highly collaborative role to bring together the various projects data is involved in, including working BenchSci’s Machine Learning teams, Bioinformatics team, R&D team, and our teams of scientists.
                                +
                                We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.
                                +

                                +
                                Why this role?
                                +
                                Distribute and optimize anything and everything.
                                +

                                +
                                This role is ideal for you if you are excited about building a scale-first machine learning framework that powers Cohere’s language models. Here you will design and improve upon the framework that enables fast, reliable, and flexible training of large language models. In this role, you will work on the cutting edge of research and engineering, design and develop state-of-the-art machine learning models. If you are an experienced software engineer aiming to break into the ML industry, this is the role you are looking for! +
                                +

                                +
                                +Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role.
                                -

                                You will:

                                +

                                As a Software Engineer - ML Frameworks, you will:

                                    -
                                  • Develop strategy and contribute to the roadmap for our Data teams that ladder up to the wider company strategy
                                  • -
                                  • Collaborate with Product, Machine Learning, Project, and Software teams to establish actionable strategies related to the implementation of our data capture, ingestion, and modeling for delivery in a knowledge graph
                                  • -
                                  • Partner with key stakeholders across the Platform Stream including the Chief Science Officer, Chief Data Officer, and other representatives from science, bioinformatics, data engineering, as well as product management to plan, prioritize, and execute on updating and launching data initiatives in a cycle of rapid MVP testing followed by productionization following successful assessment
                                  • -
                                  • Lead & Grow the Data Engineering team: Grow BenchSci’s Data Engineering team, set priorities, timelines, and performance metrics as the organization scales and the number of engineers and engineering managers continues to grow
                                  • -
                                  • Provide Technical Leadership: be able to speak the language of engineering, have the ability to dive into a problem, and help the Engineering managers reach decisions with the data available
                                  • -
                                  • People first leadership: you will be directly responsible for the leadership of your engineering managers and will help them to grow and be successful in their role of managing the data teams. You will have an ability to empathize, lead with a people-first mindset, and be genuinely committed to providing thoughtful and intentional mentorship
                                  • -
                                  • Continuous monitoring and improvement of data pipeline performance
                                  • +
                                  • Design and improve upon the internal framework to train models
                                  • +
                                  • Build and test the scalable services in the framework using cutting-edge distributed frameworks
                                  • +
                                  • Build internal tooling (CI/CD, dev utilities) to move faster together
                                  • +
                                  • Keep up with the cutting edge and adopt new technologies to improve performance and reliability
                                -

                                You have:

                                +

                                You may be a good fit if:

                                    -
                                  • A proven track record of 5+ years in leading engineering teams to deliver exceptional user and business value
                                  • -
                                  • Demonstrated ability in developing, deploying, and maintaining data-focused projects and products
                                  • -
                                  • Exceptional written and verbal communication skills
                                  • -
                                  • Degree in Software Engineering, Computer Science, or equivalent
                                  • +
                                  • You are familiar with distributed systems - Ray and multiprocessing
                                  • +
                                  • You are excited to add new technologies to your toolbox and use them where it makes sense
                                  • +
                                  • You are competent at Docker and Kubernetes
                                  • +
                                  • Bonus: You have experience with high-performance, large-scale compute systems
                                  • +
                                  • Bonus: You have worked with major ML frameworks - JAX, Tensorflow, Pytorch
                                -
                                Benefits and Perks:
                                -
                                An engaging remote-first culture
                                -
                                A competitive compensation package that includes BenchSci equity options
                                -
                                Comprehensive health and dental benefits
                                -
                                Emphasis on mental health with $2500 CAD (or equivalent in your country’s currency) for Psychologist, Social Worker, or Psychotherapist services
                                -
                                Three weeks of vacation plus an additional day for every completed year
                                -
                                Unlimited flex time to use toward sick days, personal days, religious holidays, birthdays and appointments
                                -
                                Additional time-off: 2 weeks for Winter Holidays, every other Friday in July and August, your birthday, and more!
                                -
                                Generous parental leave benefits with a top-up plan or paid time off options
                                -
                                A $2000 CAD (or equivalent in your country’s currency) Annual Learning & Development budget
                                -
                                A $1000 CAD (or equivalent in your country’s currency) work from home allowance to make your home setup perfect for you
                                -
                                A lifestyle spending account for employees to receive reimbursement for eligible expenses related to wellness, lifestyle and productivity $2500 CAD (or equivalent in your country’s currency) per year
                                -

                                -
                                Our Culture:
                                -
                                At BenchSci, we’re committed to cultivating an inspiring, inclusive, and equitable work environment for high performing, ego-free, self-starting individuals with a growth mindset, who enjoy the challenge of solving hard problems. We recognize that everyone here is a person first and an employee second. We want people to feel cared for and supported to bring the best versions of themselves to work and help the company achieve its mission. We believe culture is critical to success and invest accordingly.
                                -
                                We live and promote our FASTT values of Focused, Advancement with Speed, Tenacity, and Transparency. We work hard to maintain an engaging, supportive environment where everyone can do their best work. To learn more, read our culture deck.
                                -

                                -
                                Diversity, Equity and Inclusion:
                                -
                                We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. To learn more, read about our DEI initiatives.
                                +
                                If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.

                                -
                                Accessibility Accommodations:
                                -
                                BenchSci provides accessibility accommodations during the recruitment process. Should you require any accommodation, we will work with you to meet your needs.
                                +
                                We welcome applicants of all kinds and are committed to providing both an equal opportunity process and work environment. We value and celebrate diversity and strive to create an inclusive work environment for all.

                                -
                                BenchSci is a remote first organization. At this moment, we are welcoming applicants from Canada, the US and the UK for this position.
                                +
                                Our Perks:
                                +
                                🤝 An open and inclusive culture and work environment
                                +
                                🧑‍💻 Work closely with a team on the cutting edge of AI research
                                +
                                🍽 Free daily lunch
                                +
                                🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                +
                                🐣 100% Parental Leave top-up for 6 months for employees based in Canada and 12 weeks in the US
                                +
                                🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                +
                                🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend
                                +
                                ✈️ 6 weeks of vacation and shared Canada/US/UK holidays

                                -
                                #LI-Remote
                                -
                                ",,https://jobs.lever.co/benchsci/a311a887-cd1a-47e9-a1ec-4448ba88cecc?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2022-10-06T05:14:08.475Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/152575721-director-of-data-engineering-at-benchsci,https://jobs.lever.co/benchsci/a311a887-cd1a-47e9-a1ec-4448ba88cecc,expired,2022-09-22T05:09:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Health,Director,PhD,New Posting, -332d3a66-5306-4a41-95ca-e75e59bacd22,147857731,Deloitte,"Data Engineer - GCP, Omnia AI",on_site,"Multiple Locations, Ontario, Canada",2022-09-02T02:46:25.332Z,"
                                -

                                Job Type: Permanent
                                Primary Location: Multiple Locations, Ontario, Canada
                                All Available Locations: Vancouver, BC; Montreal, QC; Ottawa, ON; Toronto, ON

                                -

                                Learn from deep subject matter experts through mentoring and on the job coaching
                                Partner with clients to solve their most complex problems
                                Be empowered to lead and have impact with clients, our communities and in the office.

                                -
                                -
                                -
                                -

                                -

                                You love to wrestle down data puzzles, you embrace the potential that data represents, you aspire to solve data problems no one else can, and above all, you want to use data to make impacts that matter – if that is you, then Omnia AI is where you want to be.

                                -
                                -
                                -

                                What will your typical day look like?

                                -
                                -

                                -

                                As a Data Engineer on our Data Modernization & Analytics team within the Omnia AI practice, you are passionate about data and technology solutions, are driven to learn about them and keep up with market evolution. You will play an active role throughout the entire engagement cycle, specializing in technical data solutions including data integration, data warehousing, dimensional models, in-memory architectures, master data/reference management, and business analytics. You are enthusiastic about all things data, have strong problem-solving and analytical skills, are tech-savvy and have a solid understanding of software development.
                                Specifically, in this role, you will:

                                -

                                • Engineer and architect data integration and BI/DW solutions to enable business analytics and drive insights
                                • Translate business rules and requirements into data objects, produce associated data models and source to target mappings and write abstracted, reusable code components accordingly
                                • Plan/schedule tasks, lead small development teams, and mentor junior colleagues
                                • Facilitate technical meetings with client staff, and advise client with technical option analyses based on leading practices

                                -
                                -
                                -
                                -

                                About the team

                                -
                                -

                                -

                                Omnia AI, Deloitte’s Artificial Intelligence (AI) practice is comprised of a collaborative team of experts who use their hands-on experience with cutting-edge information assets to facilitate successful AI transformations. We develop AI-enabled solutions to address all aspects of a client’s transformative journey with a disciplined focus on business outcomes.

                                -


                                Our Data Modernization & Analytics team helps clients design and implement the data platform architectures – be it in the cloud or on-premise – required to enable cutting-edge AI solutions. You will be part of a practice to deliver a breadth of solutions to solve our clients most challenging business problems, with a focus on Big Data, BI/DW, Data Integration, Data Governance, Master Data and Analytics applications. Each of these applications leverage a different mix of traditional and innovative technologies to achieve business outcomes.

                                -
                                -
                                -
                                -

                                Enough about us, let’s talk about you

                                -
                                -

                                You are someone with:
                                • 2-3 years of experience with analysis, design, development, testing and deployment of analytics services
                                • 2-3 years implementation experience of distributed systems and data architecture - design and implement batch and stream data processing pipelines, knows how to optimize the distribution, partitioning, and MPP of high-level data structures.
                                • Experience working with and building data pipelines, applications to stream and process datasets at low latencies leveraging Google Cloud Platform (GCP) using Dataflow or Spark.
                                • Experience writing complex SQL queries, ETL optimization, designing, coding, and tuning big data processes using Apache Spark or similar technologies.
                                • Experience with streaming data using Dataflow, Spark, Flink, Kafka Streams, etc
                                • Completed Bachelor’s Degree (or higher) in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or related field is desired

                                -

                                If you believe you have what it takes to be a successful member of our team, please apply now. We know your career is important to you and it's important to us, too. This role is just the first step of a highly successful career we can help you build.

                                -

                                The time is right for you to join Deloitte. Get your career off to great start. What impact will you make?

                                -
                                -
                                -
                                -

                                Why Deloitte?

                                -

                                Launch your career with The One Firm where you can make an impact that matters in a way that you never thought possible. With endless opportunities at every turn, and a culture built to support and develop our people to be the very best they can be, Deloitte is The One Firm for you to learn, grow, create, connect, and lead. We do this by making three commitments to you:

                                -
                                • -You will lead at every level: We grow the world’s best leaders so you can achieve the impact you seek, faster.
                                • -You can work your way: We give you the means to be flexible in how you need and want to work, and we have innovative spaces, arrangements and the mindset to help you be wildly successful.
                                • -You will feel included and inspired: We create a deep sense of belonging where you can bring your whole self to work.
                                • -
                                -


                                The next step is yours

                                -

                                Sound like The One Firm. For You?

                                -

                                At Deloitte we are all about doing business inclusively – that starts with having diverse colleagues of all abilities! We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation in the recruitment process, or need this job posting in an alternative format. We’d love to hear from you!

                                -

                                By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.

                                ",,https://careers.deloitte.ca/job/Multiple-Locations%2C-Ontario%2C-C-Data-Engineer-GCP%2C-Omnia-AI/877143300/,info@deloitte.com,https://careers.deloitte.ca/,,,2022-10-06T13:04:00.000Z,False,0,3,17,https://talenthub.vectorinstitute.ai/jobs/147857731-data-engineer-gcp-omnia-ai-at-deloitte,https://careers.deloitte.ca/job/Multiple-Locations%2C-Ontario%2C-C-Data-Engineer-GCP%2C-Omnia-AI/877143300/,expired,2022-09-02T02:46:00.000Z,import-xml-feed:Deloitte-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Masters Degree,New Posting, -e2105d93-097a-4484-a48e-05725a390ffe,148781280,EY,Data Scientist - Financial Crimes - Bilingual,on_site,Toronto,2022-09-06T04:44:02.372Z,"

                                Data Scientist - Financial Crimes - Bilingual

                                Location: Toronto
                                Other locations: Anywhere in Country
                                Date: 30-Sep-2022

                                At EY, you will have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we are counting on your unique voice and perspective to help EY become even better too. Join us and build an exceptional experience for yourself, and a better working world for all.

                                -

                                -

                                We live in a new digital world with exciting new technologies and challenges. Businesses are re-evaluating the way they conduct business and undertaking strategic initiatives to enhance their operations to better serve their clients.

                                -

                                -

                                At EY, Data Scientist strives to implement innovative approaches to maximize harvests of strategic information, solving many of our clients’ biggest challenges. We are working to integrate this capability into our full range of Consulting service offerings and help clients leverage data as an asset across all their business processes.

                                -

                                -

                                The opportunity

                                -

                                -

                                Our Canada Financial Crime group is currently seeking a Senior Consultant in Data Science. In the context of anti-money laundering and terrorist financing activities, the group works closely with clients to enhance their ability to use and interpret data and model predictive models. This provides better support for decision-making, and better positioning to meet regulatory obligations. Our attentiveness and closer focus on details give clients an accurate overview and a better understanding of their risks.

                                -

                                -

                                The Financial Crime group provides innovative approaches that enable effective, documented and sustainable implementation of projects of high importance to our clients. We are working to integrate this expertise into our Consulting services, as well as all our internal projects, to leverage data as an asset across all business processes.

                                -

                                The Financial Crime group offers expertise and services across four core areas of competency:

                                -
                                • Data Management and Integration: providing the foundational layers for enterprise data accessibility, covering data sourcing and integration, data warehouse and modeling, master data management, and data rationalisation and migration.
                                • Data Quality and Governance: developing an organisation that treats data as a critical enterprise asset and sources quality data for business use and regulatory compliance. This includes examining the fitness for purpose of data for specific business needs, data remediation, and the strategy, roles, policies and processes to effectively manage data through its lifecycle.
                                • Reporting design, architecture and implementation of enterprise reporting solutions: This includes the end-to-end reporting lifecycle across advisory and strategy, identifying compliance reporting trouble spots and delivering achievable roadmaps, design and implementation.
                                • -Analytics: covers operational analytics, predictive analytics, industry models and analytics enablement, and provides actionable enterprise insight and delivers value from an enterprises data.
                                • -
                                -

                                Your responsibilities

                                -

                                -

                                As a Senior consultant in Data Science, you will apply your knowledge and experience to support the delivery of key projects, build valuable relationships both within EY and with clients, and develop strong capabilities through both formal training and working with senior mentors and talented colleagues across different functions. We succeed when we combine high performing team members from a variety of backgrounds. We will provide the required support to transition into the team if this is your first step into consultancy.

                                -

                                Specifically, these responsibilities will be assigned to you:

                                -
                                • Analyze, manipulate, structure, validate and transform various data sources
                                • Produce and document analyses of various data sources
                                • Act as a consultant for the implementation of specialized internal data processing solutions
                                • Act as a consultant for the configuration of various anti-money laundering and financial crime software
                                • Develop filter optimization algorithms to enforce international sanctions
                                • -Participate in client engagements and various internal projects
                                • -
                                -

                                Skills & attributes for success

                                -
                                • Ability to communicate ideas clearly (spoken and written)
                                • Ability to provide excellent client service and manage and build strong relationships both internally and externally
                                • Ability to be self-sufficient within large companies (financial institutions, specifically)
                                • Be versatile, rigorous and curious
                                • Enjoy teamwork
                                • -Have 5-10 years’ experience in data science role
                                • -
                                -

                                To qualify for the role you must have:

                                -
                                • Bachelor’s degree in computer science, mathematics, data science, informatics, operations research, engineering or a related field and approximately 3-5 years’ experience in related field. A Master’s degree is an asset.
                                • Strong Machine Learning, Deep Learning, and statistics background.
                                • Experience with large data sets using tools like SQL, Hadoop, Spark
                                • Advanced Programming skills in R or Python, and experience using an object-orientated programming language, such as Java, or Scala (preferred).
                                • Experience with model-development lifecycle, data preparation, modeling, and deployment
                                • Data processing such as ETL (and ideally some exposure to tools such as Ab Initio, Informatica, etc.), parsing and handling data quality-related issues
                                • Demonstrated strong technical problem-solving abilities as well as clear proficiency in handling computer hardware, software, and networks
                                • Knowledge of French and English (bilingual)
                                • -
                                -

                                -

                                Ideally, you’ll also have:

                                -
                                • Consulting experience
                                • Experience in other leading ETL packages (e.g. Informatica, DataStage)
                                • Experience with cloud technologies (Microsoft Azure, Databricks, AWS, GCP)
                                • Experience in Anti-money laundering/terrorist financing activities
                                • Experience in Fraud
                                • Experience in Risk Management
                                • Experience in Business Intelligence
                                • Experience in Solution Architecture
                                • Experience in Cyber Security
                                • -Experience in Business analysis/systems
                                • -
                                -

                                What we look for

                                -


                                We’re interested in passionate leaders with a strong vision and a desire to stay on top of trends in the IT Consulting space. If you have a strong passion for helping businesses achieve their IT strategy, this role is for you.

                                -

                                -

                                What we offer

                                We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package includes medical and dental coverage, both pension and 401(k) plans, a minimum of 15 days of vacation plus ten observed holidays and three paid personal days, and a range of programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

                                -
                                • The opportunity to manage a portfolio of talent within a designated service line
                                • A collaborative environment where everyone works together to create a better working world
                                • Excellent training and development prospects, both through established programs and on-the-job training
                                • -An excellent team of senior colleagues, dedicated to managing and varying your workload
                                • -
                                -

                                Diversity and Inclusion at EY

                                -

                                -

                                Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. From our actions to combat systemic racism and our advocacy for the LGBT+ community to our innovative Neurodiversity Centre of Excellence and Accessibility initiatives, we welcome and embrace the diverse experiences, abilities, backgrounds and perspectives that make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                                -

                                -

                                EY | Building a better working world

                                -

                                -

                                EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets.

                                -

                                -

                                Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate.

                                -

                                -

                                Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

                                ",,https://careers.ey.com/ey/job/Toronto-Data-Scientist-Financial-Crimes-Bilingual-ON-M5H-0B3/845997901/,feed-importer@jobboard.io,,,,2022-10-06T13:17:53.981Z,False,0,12,62,https://talenthub.vectorinstitute.ai/jobs/148781280-data-scientist-financial-crimes-bilingual-at-ey,https://careers.ey.com/ey/job/Toronto-Data-Scientist-Financial-Crimes-Bilingual-ON-M5H-0B3/845997901/,expired,2022-09-06T04:44:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Level,Masters Degree,New Posting, -5e66d5e0-a2fd-4b0b-a8ad-db754d669a23,148752080,TD Bank Group,Data Steward II,on_site,"Toronto, ON",2022-09-06T01:51:18.682Z,"
                                +
                                #LI-Remote
                                +
                                ",,https://jobs.lever.co/cohere/83ed9e66-42f2-401f-b55b-5f501016adb1,feed-importer@jobboard.io,,,,2022-06-25T13:04:32.547Z,False,0,0,20,https://talenthub.vectorinstitute.ai/jobs/127498448-software-engineer-ml-frameworks-at-cohere-ai,https://jobs.lever.co/cohere/83ed9e66-42f2-401f-b55b-5f501016adb1,expired,2022-05-26T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,Bachelors Degree,New Posting, +f5444809-8034-4611-98a6-aa6ff500c1d9,132763723,TD Bank Group,Business Analyst II,on_site,"Toronto, ON",2022-06-20T21:06:12.395Z,"

                                Company Overview

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                @@ -333517,35 +340833,190 @@ e2105d93-097a-4484-a48e-05725a390ffe,148781280,EY,Data Scientist - Financial Cri

                                Department Overview

                                -

                                Data governance and management at TD is part of an enterprise-wide data and analytics ecosystem. Adaptability is key. You may be part of the data and analytics professional community managing data assets aligned to TD’s overarching policies or strategies, or you may find yourself directly immersed in various lines of business. Data stewardship at TD spans the enterprise and welcomes experts like you to help drive our business forward while protecting the interests of our organization, customers and shareholders.

                                +
                                The TDBG Global AML Compliance Department is accountable for establishing TDBG’s Global Anti-Money Laundering and Anti-Terrorist Financing Program (AML/ATF) to ensure that all TDBG businesses remain compliant with AML/ATF regulatory expectations in all jurisdictions where TDBG operates.

                                +

                                This includes setting consistent standards across business segments that maybe further tailored to specific business or jurisdictional requirements; conducting annual enterprise-wide AML risk assessments; maintaining the Global AML Policy (including Know Your Customer and Enhanced Due Diligence, record keeping & retention requirements); currency transaction and suspicious transaction monitoring and reporting; screening TDBG customers against regulatory watch lists (i.e., Name Matching); a hierarchy of designated AML officer functions; enterprise-wide and specialized AML training of employees; and independent AML testing.

                                +
                                +

                                +

                                Job Description

                                +
                                  +
                                • Lead a diverse range of stakeholders; communicates effectively by adapting style and technique to a diverse audience
                                • +
                                • Analyze impacts to customers, stakeholders, employees, process, technology solutions to achieve business results
                                • +
                                • Understand and clarify work packages of each assigned initiative/project inclusive of constraints (time, cost, people resources) and maintain a customer-centric approach
                                • +
                                • Provide recommendations and direction based on the end to end customer experience when making decisions
                                • +
                                • Lead and own the project deliverables related to business requirements to meet the needs of the customer, employee, and business
                                • +
                                • Assess and ensure that customer and employee experience / stakeholder impacts are appropriately managed
                                • +
                                • Engage appropriate stakeholders to identify and manage required outcomes of projects for the business
                                • +
                                • Provide on-going communication to key stakeholders, including the project sponsor, business project owner, project / program / portfolio manager to ensure they are aware of significant changes which impact requirements delivery against the overall project
                                • +
                                • Respond to inquiries and escalate concerns from stakeholders and partners at all levels in the organization
                                • +
                                • Identify and lead problem resolution to ensure customer needs are met
                                • +
                                • Lead and contribute to the development of test strategy/ test plans, test cases/ testing scenarios appropriate to the application/ project
                                • +
                                • Lead and contribute to the analysis of test data requirements, identification and preparation of test data
                                • +
                                • The Analyst will lead projects individually representing the GAML Business and supporting Business Acceptance Testing for all GAML initiatives.
                                • +
                                • The Analyst will lead interaction with Business Analysts, Project Managers, and internal /external partners throughout the various phases of a project / business initiative.
                                • +
                                • Recommend / Negotiate testing deliverables, timelines, appropriate to the project
                                • +
                                • Oversee and execute test scripts within the testing environment, ensuring defects are logged for the project, and documentation has been appropriately signed off
                                • +
                                • Chair daily defect status calls and provide updates to the project team
                                • +
                                • Provide project feedback, status reporting and mitigation plans to project team
                                • +
                                • Identify testing dependencies and risks, ensuring that they are effectively managed and mitigated
                                • +
                                • Ensure projects are following established testing procedures, standards and enterprise methodology
                                • +
                                • Contribute to Quality Assurance activities by supporting the development of test scripts and testing of developed solutions, including communication of issues and resolution
                                • +
                                • Ensure that the business acceptance tests exit criteria are met prior to implementation
                                • +
                                • Adhere to Enterprise project governance controls to ensure projects meet all performance, quality and compliance standards and conforms to appropriate disciplines
                                • +
                                • Contribute to the development of the project plan and high-level work breakout session (WBS), identify and manage key risks and decisions
                                • +
                                • Own and complete relevant work packages through collaboration with multiple stakeholders to prepare for operational readiness, managing deadlines and adjusting to changing work priorities
                                • +
                                • Take ownership and communicate progress on work packages, including requirements management, in a concise and timely manner, escalating issues to project manager, partners and manager where appropriate
                                • +
                                • Assess project change requests and their impacts on requirements, checking for alignment to project benefits at all phases
                                • +
                                +

                                +

                                Requirements

                                +
                                +
                                  +
                                • Proficiency in the following applications: Excel, Word, PowerPoint, Visio, MS Project, HP- ALM, JTMF, JIRA and/or other testing tools.
                                • +
                                • Advanced knowledge of testing methodologies, Project Management life cycle, Quality Assurance concepts and methodologies, analytical skills and documentation standards.
                                • +
                                • Detail oriented, analytical with excellent problem solving and troubleshooting abilities
                                • +
                                • Highly organized and flexible in prioritizing various work demands
                                • +
                                • A solid team player and comfortable taking constructive criticism
                                • +
                                • Able and comfortable presenting findings, summaries and recommendations in a coherent and comprehensive format
                                • +
                                • Knowledge of Global Anti-Money Laundering systems and processes is an asset
                                • +
                                • Leads Requirements Management / work packages for Tier 5 low to moderate risk and regulatory projects or initiatives and may contribute to Tier 3-4 projects
                                • +
                                • Sound to advanced knowledge of business analysis, project delivery practices and standards across the project life cycle
                                • +
                                • Work performed under minimal management guidance and supervision
                                • +
                                • Identify and lead problem resolution
                                • +
                                • Supports and may contribute to communication and change management activities
                                • +
                                • Excellent interpersonal and communication (both written and oral) skills
                                • +
                                +

                                #LI-Hybrid

                                +
                                +

                                +

                                Additional Information

                                +
                                  +
                                • University degree and/or related working experience.
                                • +
                                • Minimum 4-5 years of BA/QA experience, preferably with 2-3 years of lead experience
                                • +
                                +

                                +

                                Hours

                                +
                                37.5
                                +

                                +

                                Inclusiveness

                                +

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                +

                                +
                                ",,https://jobs.td.com/en-CA/jobs/16022106/business-analyst-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-06-23T21:11:08.371Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/132763723-business-analyst-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16022106/business-analyst-ii-toronto-ca/,expired,2022-06-20T21:06:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +c75e5b16-1cdb-4185-9779-60e30296a5c6,132128466,Scotiabank,"Manager, Forecasting Models - Retail and Small Business - Toronto, ON",on_site,Canada : Ontario : Toronto,2022-06-17T05:07:06.568Z,"

                                +

                                +

                                +

                                +

                                Requisition ID: 150724

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                +

                                The world is changing faster than ever and so are we!

                                +

                                +

                                Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

                                +

                                Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

                                +

                                +

                                What Are We Looking For?

                                +

                                We want talented pragmatic analytically oriented data scientists who are equally at home interpreting and applying statistics as they are ingesting and massaging data, translating regulatory requirements into models and explaining complex issues in simple concise ways. We want bright and energetic minds who come armed with a bottomless sense of curiosity about everything (great models and analytics are about so much more than just the numbers!), a passion for getting things done right – the first time – and a deep sense of personal and professional accountability.

                                +

                                +

                                To be a Manager in Forecasting arm of Retail Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you also need to be a collaborative team player who actively listens to stakeholders and customers because you are passionate about helping them win and you need to be interested in building something lasting and great. Working with internal customers (stakeholders) across the bank to understand and translate their needs into outcomes, exploring both novel and legacy data sets and methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that your team “owns” will all be equally important.

                                +

                                +

                                We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

                                +

                                +

                                Make an Impact

                                +

                                As a Manager, you will report directly to a Senior Manager or Director and be a critical member of a team overseeing a portfolio of forecasting models and analytic processes. You will support – from conception through execution and governance – the provision (credit loss estimation) models covering all of the Bank’s retail and small business product lines. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Provisioning, Model Operations, Enterprise Stress Testing, Product, Model Validation and Governance, Technology & Data, Finance, Compliance and Audit.

                                +

                                +

                                You will have access to both traditional SAS tools and a modern machine learning stack that includes on-premise GPU computing, open source Jupyter development environments, a Hadoop cluster, containerized API model deployment and data visualization business intelligence tools.

                                +

                                +

                                Under the guidance of your Director, your team of risk modeling experts will use these tools to develop advanced risk prediction and loss estimation forecasting models that will be used to make decisions worth $billions every month and therefore they need to be not only precise and accurate, but highly stable, explainable, compliant, secure and useful. You will be responsible for understanding the goals & priorities set for you, executing them efficiently with a perpetual eye on quality, asking questions often and delivering results in harmony with your teammates.

                                +

                                +

                                Is This Role Right for You?

                                +
                                • You believe, first and foremost, in always doing the right thing and doing things the right way
                                • You are both deeply curious and highly pragmatic
                                • You are comfortable with ambitious but realistic goals and are committed to achieving them
                                • You are social, engaging, not afraid to ask questions and relish the opportunity to learn from global partners across the firm (who may be less technical than you and might not speak English)
                                • You relish the opportunity and yet also understand the responsibility and weight that comes with the fact that the output of your models will directly influence the bank’s financial statements
                                • You can read complex and lengthy regulatory requirements and identify opportunities for optimization while always remaining committed to compliance excellence
                                • You understand what PDs, LGDs, EADS & attrition really are, from the ground up, and can model them precisely for any product
                                • You have a genuine love, passion and talent for programming, data, and predictive modeling
                                • You are committed to quality in everything you do – statistically, process and governance wise
                                • You look forward to sharing your insights through high-quality verbal & written communications
                                • You are professional, motivated AND FUN. We mean it.
                                • +
                                +

                                +

                                Sample projects that you might work on include:

                                +
                                • Complete specialized analysis, develop statistical solutions and recommend improvements to estimation techniques and/or forecasting models
                                • Prepare attribution and/or stock-flow analysis of product portfolios
                                • Collaborate with risk management, vendors, technology, foreign counterparts and compliance + audit to ensure effective governance, measurement & communication of model performance
                                • Conduct research of new innovative modeling methodologies, tools and regulatory requirements
                                • Lead the periodic monitoring, recalibration and maintenance of models and analytic tools
                                • Identify, promote and lead process improvements for model development and monitoring
                                • Ensure that the data used for model development is reliable and robust and that it adheres to industry and regulatory standards
                                • +
                                +

                                +

                                What Do You Need to Succeed?

                                +

                                General

                                +
                                • Bachelor’s Degree in Mathematics, Computer Science, Engineering or an equivalent technical field
                                • A demonstrated history of analytic problem solving and sound judgment
                                • Experience as an analyst or data scientist with a track record of accomplishments working on cross-functional teams
                                • Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit high-quality documentation and be accepted as a trusted advisor by peers
                                • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines
                                • +
                                +

                                +

                                Technical

                                +
                                • Strong fundamental understanding of statistics
                                • 2+ years of overall experience in analytic roles developing and using predictive, risk and/or forecasting models
                                • Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows)
                                • 1 or more years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
                                • Knowledge about credit risk models / scorecards
                                • +
                                +

                                +

                                What’s in It for You?

                                +
                                • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
                                • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                                • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
                                • Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
                                • A competitive rewards package that includes a base salary, a performance bonus, company matching programs on pension and profit sharing, paid vacation, personal & sick days, medical, vision and dental benefits that start from day one and much more!
                                • +
                                +

                                +

                                This position is located downtown Toronto, King St W. The team is working within a hybrid model, remote and in office.

                                +

                                +

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Forecasting-Models-Retail-and-Small-Business-Toronto%2C-ON-ON-M5H1H1/559897617/,feed-importer@jobboard.io,,,,2022-06-23T22:48:00.000Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/132128466-manager-forecasting-models-retail-and-small-business-toronto-on-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Forecasting-Models-Retail-and-Small-Business-Toronto%2C-ON-ON-M5H1H1/559897617/,expired,2022-06-17T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +f44a01b0-5c45-47fc-9b15-ac7ae6c69961,126310797,Scotiabank,Senior Data Analyst (Ottawa Hub location),on_site,Canada : Ontario : Ottawa || Canada : Ontario : Toronto,2022-05-20T05:06:06.326Z,"

                                +

                                +

                                +

                                +

                                Requisition ID: 152051

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                +

                                The Team
                                Oversees Finance Data Management & Data Services within Global Finance & Risk Technology (GFRT) provides analytics and support services for Global Finance Initiatives. The Finance Data Management Data Services team supports Financial Close Processes and provide Financial Data Management, Data Analysis, Data Quality and Data Governance services for Toronto/Canada. The team is heavily involved in business transformation projects and equivalency testing during migrations.

                                +

                                +

                                The Role
                                As a Data Engineer you are required to participate in multiple finance transformation projects, liaise with stakeholders on new business initiatives, delivering solutions to meet the needs of multiple lines of business, and interfaces extensively with business clients. The incumbent will have a minimum of 2 to 3 years of strong expertise querying data from ledgers, data models, database design and an understanding of the Bank's financial data. The individual must thrive on challenge, be proactive, and demonstrate initiative, coaching the data engineers and eagerness to learn.

                                +


                                Some of the key accountabilities include:

                                +

                                • Work with senior team members (architects, developers, testers) to develop and implement data solutions for finance reporting systems
                                • Analyze data in both Financial Systems and Big Data environments
                                • Support senior team members through research assignments and proof of concepts
                                • Demonstrate a passion for problem solving and data presentation technologies
                                • Facilitate UAT testing for system migration and new initiatives
                                • Report development and support for internal customers; including executives analytical minded skillset
                                • Provide analytical support to company leadership by providing ad-hoc analysis and data trouble shooting support
                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                • Builds a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment and using a coaching mindset and behaviors; communicating vison/values/business strategy; and managing succession and development planning for the team.

                                +

                                +

                                What You Will Bring to Succeed
                                • Advanced level SQL design / reporting / data mining experience or familiar with using ACL
                                • CPA/CA or Accounting/finance knowledge with computer science/data sciences certification is preferred.
                                • Data Modeling experience with Agile methodology and familiar with scrum meetings and sprint planning.
                                • Analytical and Detail-oriented
                                • Report development and support for internal and external customers; including executives analytical minded skillset.

                                +

                                +

                                The Workplace
                                • We are technology partners who help the business transform how our employees around the world work
                                • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                • You'll get to work with and learn from diverse industry leaders, who have hailed from top technology companies around the world
                                • We foster an environment of innovation and continuous learning
                                • We care about our people, allowing them to design how they work to deliver amazing results
                                • We offer a competitive total rewards package, including a performance bonus, company matching programs (on pension & profit sharing), and generous vacation

                                +

                                +

                                Scotiabank
                                As Canada's International Bank, we are a diverse and global team. We speak more than 100 languages with backgrounds from more than 120 countries. We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                +


                                Is this Role not the Exact fit?
                                Sign up to stay in touch; we’ll let you know when we have new positions on the team.

                                +


                                #ottawahub

                                +

                                +

                                Location(s): Canada : Ontario : Ottawa || Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Ottawa-Senior-Data-Analyst-%28Ottawa-Hub-location%29-ON/559610017/,feed-importer@jobboard.io,,,,2022-06-23T20:35:52.204Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/126310797-senior-data-analyst-ottawa-hub-location-at-scotiabank,https://jobs.scotiabank.com/job/Ottawa-Senior-Data-Analyst-%28Ottawa-Hub-location%29-ON/559610017/,expired,2022-05-20T05:06:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +a6aa8453-60ae-4001-abd3-c94eced1fcf5,134796771,TD Bank Group,Senior Business Insights Analyst,on_site,"Toronto, ON",2022-06-30T21:07:11.035Z,"
                                +

                                Company Overview

                                +
                                +

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                +

                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                +
                                +

                                +

                                Department Overview

                                +
                                +

                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                +

                                We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                +

                                Job Description

                                +

                                About this Role

                                -

                                Are you evolving and growing your career from data steward to leader? If so, this role, providing data expertise, business leadership and day-to-day data governance and management, is calling. This seasoned professional role requires substantial knowledge and expertise in a complex, specialized area of Data Governance and Management activities. You will be a Data Steward for your line of business, lead or support the Line of Business (LOB)’s Segment Data Council and directly support the LOB Data Strategy.

                                -

                                As a Data Steward II, you will:

                                +

                                As an expert in data and analytics, you will provide in depth expertise, analytical interpretation, key insights and action items to your multi-functional business partners across the organization. Those insights will be brought to bear to enable informed and enabled business decisions enterprise wide or help to solve the increasingly complex business problems they face.

                                +

                                In this role, TD will look to as a thought leadership as well as a leader in your space, coaching, mentoring, empowering and educating your peers to collaborate and bring TD into the future of banking.

                                +

                                +

                                As a Senior Business Insights Analyst, you will:

                                  -
                                • Act as a strategic partner by leading relationships with key enterprise partners and engaging leadership team
                                • -
                                • Clarify scope of accountabilities, align partners and manage your data governance / management area of responsibility (responsible for supporting the delivery of activities within the LOB Data Strategy)
                                • -
                                • Assess / identify key issues and escalate to appropriate levels and relevant stakeholders and business management where required
                                • -
                                • Identify, mitigate and report on risk issues per enterprise policy / guidance and ensure appropriate escalation processes are followed
                                • -
                                • Lead multi-functional teams or projects with significant resource requirements, risk and complexity
                                • -
                                • Craft, communicate and deliver a holistic strategy for your data governance / management function, integrated with the overall business strategy and in alignment with the Enterprise Data Strategy, Policy and Standards.
                                • -
                                • Provide thought leadership, transfer of knowledge and participate fully as a member of the team, promoting a positive work environment, innovation and service quality to the business
                                • -
                                • Complete key courses for the EDS capabilities within EDU, including annual Mastery Testing
                                • -
                                • Partner closely with Technology, SMEs, other colleagues and contacts to drive successful implementation of LOB Data Strategy for data environments up to medium complexity
                                • -
                                • Stay on top of emerging issues, trends, evolving regulatory requirements externally while being a brand ambassador for data stewardship and your LOB
                                • +
                                • Apply understanding of respective business strategies to produce relevant and substantial data analysis to support business goals and objectives
                                • +
                                • Develop analysis to illustrate business trends and identify areas of business opportunities
                                • +
                                • Produce insights and recommend business actions to align with strategy and/or solve business problems
                                • +
                                • Provide seasoned specialized knowledge, advice and/or mentorship to various business and working partners
                                • +
                                • Execute on data requests accurately and within a timely manner
                                • +
                                • Represent functional area as an analytics & insights professional and key resource; build positive and productive working partnerships
                                • +
                                • Act as a bridge to translate business requirements to analytics and reporting needs for a given domain
                                • +
                                • Provides day-to-day support and delivery of analytics
                                • +
                                • Work independently as the senior analyst/subject matter expert and may coach and educate others
                                • +
                                • Considered an authority within a given area
                                • +
                                • Oversee and/or independently perform tasks from end to end

                                Requirements

                                -What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                +What can you bring to TD?

                                +

                                Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                  -
                                • Undergraduate degree or technical certificate
                                • -
                                • Seven (7) or more years relevant experience
                                • -
                                • Skill in using software tools, applications, data analysis methods
                                • -
                                • Ability to work multi-functionally, communicate positively and professionally in both spoken and written form, provide assistance or guidance to other team members and build positive relationships across teams and functions
                                • +
                                • Undergraduate degree or technical certificate
                                • +
                                • Five (5) or more years relevant experience
                                • +
                                • Hands on experience in Python/PySpark, Tableau, and SQL
                                • +
                                • Experience in modeling (ML algorithms) is desirable
                                • +
                                • Management consulting and/or MBA background is preferable

                                @@ -333555,160 +341026,417 @@ e2105d93-097a-4484-a48e-05725a390ffe,148781280,EY,Data Scientist - Financial Cri

                                Inclusiveness

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                -
                                ",,https://jobs.td.com/en-CA/jobs/16419880/data-steward-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-10-06T13:20:46.389Z,False,0,3,21,https://talenthub.vectorinstitute.ai/jobs/148752080-data-steward-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16419880/data-steward-ii-toronto-ca/,expired,2022-09-06T01:51:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -65f201c1-d179-455c-b83c-52d95248bfcf,153906931,Shopify Inc.,"Lead (Staff) Data Engineer (Remote, Canada)",on_site,"Ontario, Canada",2022-09-29T07:35:02.737Z,"

                                About the role

                                Our Data Engineering group builds and maintains the platform that delivers accessible data to power decision-making at Shopify for millions of merchants. We’re hiring high-impact developers across teams:

                                +
                                ",,https://jobs.td.com/en-CA/jobs/15906209/senior-business-insights-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-07-04T20:49:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/134796771-senior-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15906209/senior-business-insights-analyst-toronto-ca/,expired,2022-06-30T21:07:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +c9a49652-9469-4346-b70b-65e9395f8a8c,131887931,EY,Senior Consultant - Privacy and Data Trust,on_site,Toronto,2022-06-16T04:44:02.979Z,"

                                Senior Consultant - Privacy and Data Trust

                                +
                                Location: Toronto
                                +
                                Other locations: Primary Location Only
                                +
                                Date: Jun 10, 2022
                                +

                                At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

                                +

                                +

                                With rapidly changing data threats, clients from all industries look to us for trusted solutions for their increasingly complex risks. You will have access to our robust platform to advise clients on managing data protection and privacy, enhancing maturity, and improving efficiency. You will belong to an international connected team of specialists helping our clients with their most complex data protection and privacy needs and contributing toward their business resilience.

                                +

                                +

                                The opportunity

                                +

                                +

                                We are actively seeking a Senior Consultant to join our Cybersecurity team specifically the Privacy and Data Trust specialty. You’ll work alongside respected industry professionals, learning about and applying leading practices to better manage people, processes and technology capabilities within the data protection and privacy domains. You’ll gain insights into the design and operations of privacy and data trust programs and strategies in a variety of industries and learn how to design measurable, sustainable programs to keep up with the constantly evolving privacy landscape.

                                +

                                +

                                This position falls within our Consulting practice, which helps our clients enhance the effectiveness of operations functions by assisting them as they shift their emphasis from transaction-level control, processing and reporting to more value driven, decision support and analytics.

                                +

                                +

                                Your key responsibilities

                                +

                                +

                                As a Cybersecurity, privacy and data trust senior you'll deliver client engagements as well as internal projects. You will help clients gain insights into their privacy programs and capabilities to maintain compliance to local and global privacy regulations while building consumer trust. Consult with privacy and cyber managers to determine the role of IT systems in an organization. Research emerging technologies to determine if installing them can increase the organization’s efficiency and effectiveness and identify any potential impact in privacy. Advise clients on managing their privacy programs to mitigate their business risks. Assess privacy programs and strategies using our proprietary framework, design solutions to remediate gaps or enhance maturity of specific privacy capabilities, improve measurements and monitoring, and develop sustainable processes to enable our clients to achieve business goals and mitigate their risks.

                                +

                                +

                                Skills and attributes for success

                                +

                                +

                                Client Responsibilities

                                +
                                • Consistently deliver quality client services.
                                • Stay abreast of current business and industry trends relevant to the client's business.
                                • Demonstrate technical capabilities and professional knowledge. Demonstrate ability to assimilate to new knowledge.
                                • Remain current on new developments in advisory services capabilities and industry knowledge.
                                • Demonstrate and apply a thorough understanding of complex data processing systems. Use knowledge of the current data processing environment and industry trends to identify engagement and client service issues and communicate this information to the engagement team and client management through written correspondence and verbal presentations.
                                • +
                                +

                                +

                                To qualify for the role, you must have

                                +
                                • A Bachelor’s degree in Law or in Computer Science, Management Science, Information Security, Data, Business, Ethics or a related field and 5 years of progressive, post-baccalaureate work experience. Alternatively, will accept a Master’s degree in Computer Science, Management Science, Data, Business, Ethics, Law, or a related field and 2 to 3 years of work experience.
                                • Knowledge and 2 to 3 years of hands-on experience in one or more of the following areas:
                                  - Assessing client risk and compliance against privacy regulations
                                  - Designing or operationalizing functional privacy within or on behalf of a business.
                                  - Providing support of privacy enhancing technology (PET).
                                • Knowledge and 2 to 3 years of practical experience with common frameworks, standards and methodologies used in the data protection and privacy field.
                                • Practical experience with conducting risk assessments and testing of data protection and privacy controls
                                • Excellent analytical skills and knowledge of data analytics methods
                                • Ideally possess one of the following certifications: CIPP (Canada), CIPM or CIPT.
                                • Solid knowledge and experience presenting using MS Power Point, Excel and Visio.
                                • Solid oral and written communication skills.
                                • Experience on writing reports on findings and analysis of privacy issues.
                                • +
                                +


                                What we look for

                                +

                                +

                                We’re interested in intellectually curious people with a genuine passion for cybersecurity, data protection and privacy. If you have the confidence in both your presentation and technical abilities to grow into a leading expert here, this is the role for you.

                                +


                                Diversity and Inclusion at EY

                                +

                                +

                                Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. From our actions to combat systemic racism and our advocacy for the LGBT+ community to our innovative Neurodiversity Centre of Excellence and Accessibility initiatives, we welcome and embrace the diverse experiences, abilities, backgrounds and perspectives that make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                                +


                                What we offer

                                +


                                At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

                                +

                                +

                                We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

                                +
                                • Support and coaching from some of the most engaging colleagues in the industry
                                • Learning opportunities to develop new skills and progress your career
                                • The freedom and flexibility to handle your role in a way that’s right for you
                                • +
                                +

                                +

                                EY | Building a better working world

                                +


                                EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

                                +


                                Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

                                +


                                Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

                                ",,https://careers.ey.com/ey/job/Toronto-Senior-Consultant-Privacy-and-Data-Trust-ON-M5H-0B3/695413101/,feed-importer@jobboard.io,,,,2022-07-04T20:49:00.000Z,False,0,0,7,https://talenthub.vectorinstitute.ai/jobs/131887931-senior-consultant-privacy-and-data-trust-at-ey,https://careers.ey.com/ey/job/Toronto-Senior-Consultant-Privacy-and-Data-Trust-ON-M5H-0B3/695413101/,expired,2022-06-16T04:44:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Bachelors Degree,New Posting, +5221c5fd-9539-4037-a1df-0ab4b277620f,115720713,Thomson Reuters,Applied Research Scientist - NLP,on_site,"Ontario, Canada",2022-03-20T13:31:02.035Z,"
                                +

                                Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in Toronto and Minneapolis is seeking scientists with a passion for solving problems using state-of-the-art Information Retrieval, Machine Learning and Natural Language Processing.

                                +

                                +

                                What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research and the development of new products and technologies. TR Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today while investing in long-term research for the future.

                                +

                                +

                                As a scientist in Labs, you will be part of a global interdisciplinary team of experts. We hire specialists across a variety of AI research areas, as well as Engineering and Design, to drive the company\'s digital transformation. TR Labs is known for delivering innovative AI products that serve Thomson Reuters customers in new and exciting ways.

                                +

                                +

                                More about Thomson Reuters Labs - http://tr.com/ai-jobs

                                +

                                +

                                About the role

                                +

                                In this opportunity you will:

                                  -
                                • The Engine group organizes all merchant and Shopify data into our data lake in highly-optimized formats for fast query processing, and maintaining the security and quality of our datasets.

                                • -
                                • The Analytics group leverages the Engine primitives to build and deliver simple and useful products that power scalable transformation of data at Shopify in batch, streaming, or for machine learning. This group is focused on making it really simple for our users to answer three questions: What happened in the past? What is happening now? And, what will happen in the future?

                                • -
                                • The Data Experiences group builds end-user experiences for experimentation, data discovery, and business intelligence reporting.

                                • -
                                • The Reliability group operates the data platform in a consistent and reliable manner. They build tools for other teams on Data Platform to leverage and encourage consistency as they champion reliability across the platform.

                                • -
                                ",,https://www.shopify.ca/careers/lead-staff-data-engineer-remote-canada_9356598e-1a12-4c7f-8133-f611f0c83cb5,feed-importer@jobboard.io,,,,2022-10-06T07:40:19.773Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/153906931-lead-staff-data-engineer-remote-canada-at-shopify-inc,,expired,2022-09-29T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Information and Media),Team Lead,Masters Degree,New Posting, -bf9e5175-29a9-44dc-9823-fcabac13a9c2,152492042,Magna International,Data Engineer,on_site,"Ontario, Canada",2022-09-21T20:50:52.775Z,"

                                Group Description

                                -

                                At Magna, we create technology that disrupts the industry and solves big problems for consumers, our customers, and the world around us. We’re the only mobility technology company and supplier with complete expertise across the entire vehicle.

                                -

                                We are committed to quality and continuous improvement because our products impact millions of people every day. But we’re more than what we make. We are a group of entrepreneurial-minded people whose collective expertise gives us a competitive advantage. World Class Manufacturing is a journey and it’s our talented people who lead us on this journey.

                                +
                              • Experiment and Develop: You will execute the entire model development lifecycle, from prototype to delivery, while applying best practices for reproducible research and well-managed software delivery.

                              • +
                              • Collaborate: Working on a collaborative cross-functional team, you will share information, value diverse ideas, and partner effectively with colleagues across the globe.

                              • +
                              • Delivery: You will be accountable for timely, well-managed deliverables.

                              • +
                              • Innovate: You will be empowered to try new approaches and learn new technologies.

                              • +
                              • Inspire: You will be a proactive communicator who is excited to share your work. You will be articulate and compelling in describing ideas to both technical and non-technical audiences.

                              • +

                                -

                                Role Summary

                                -

                                The Data Engineer is a vital member of the data analytics team, responsible for implementing, optimizing, overseeing and monitoring data retrieval, storage and distribution throughout the organization. The Data engineer will work closely with internal stakeholders and business analysts to provide support and expertise in data management, BI / Reporting and underlying data delivery architecture. The ideal candidate is an experienced data pipeline builder who enjoys optimizing data systems and building them from the ground up while being able to deal with a fragmented data landscape.

                                -

                                Key Responsibilities

                                +

                                About you

                                +

                                You are a fit for the role if you have:

                                  -
                                • Build the infrastructure required for extraction, transformation and loading of data from a wide variety of data sources
                                • -
                                • Build analytics solutions that utilize the data pipelines to provide actionable insights for various stakeholders across Magna
                                • -
                                • Design and implement complex business intelligence and analytic solutions based on functional requirements
                                • -
                                • Identify ways to improve data reliability, efficiency and quality
                                • -
                                • Prepare data for predictive & prescriptive modeling and support the implementation & deployment machine earning use cases
                                • +
                                • Ph.D. in a relevant discipline or Master\'s plus a comparable level of experience

                                • +
                                • At least one year of industry experience building IR/NLP/ML systems

                                • +
                                • Solid software engineering skills for prototyping

                                -

                                Education, Knowledge and Work Experience

                                +

                                +

                                Preferred qualifications

                                  -
                                • Completion of University Degree or equivalent work experience
                                • -
                                • 3-5 years of work-related experience
                                • +
                                • 5+ years academic or industry experience building IR, ML or NLP systems with the demonstrated ability to translate cutting edge research into working applications

                                • +
                                • Proficiency in Python, Java, or Scala and experience delivering minimum viable products in a large enterprise environment

                                • +
                                • Proven communication skills and ability to work on deliverables independently

                                • +
                                • Publications at workshops or conferences such as ACL, EMNLP, NAACL, SIGIR, NeurIPS, or similar

                                -

                                Key Qualifications/Requirements

                                +

                                +

                                What\'s in it for you

                                +

                                At Thomson Reuters, our people are our greatest assets. In addition to rewarding and challenging work with exceptional colleagues, we offer the following benefits for your personal and professional growth:

                                  -
                                • Proficiency in ETL concepts and its implementation (Talend, SSIS preferred)
                                • -
                                • Strong SQL and programming & scripting skills
                                • -
                                • Experience in developing reporting or dashboard solutions with BI tools (Microsoft stack preferred)
                                • -
                                • Experience with Data Architectures on Azure & AWS
                                • -
                                • Background in Data science, Data mining, Computer vision, Machine learning
                                • -
                                • Self-motivated and self-managed with a high degree of analytical skills (quick comprehension, abstract thinking, recognize relationships)
                                • -
                                • Ability to be a strong team member and communicate effectively
                                • -
                                • Capability to prioritize and multi-task, and reasonably estimate work effort for tasks
                                • -
                                • Excellent English in spoken and written
                                • +
                                • Learning & Development: On-the-job coaching & learning, tuition reimbursement, exposure to leading-edge technology

                                • +
                                • Our Scientists and Engineers get to play with big data sets to discover new products, capabilities, and insights for our customers. Thomson Reuters is most well-known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate and tax professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data.

                                • +
                                • Benefits: Flexible work arrangements, comprehensive health coverage effective day one, savings and investment plans

                                • +
                                • Perks: Social events & activities, employee discount programs

                                • +
                                • Social Impact: Paid time off for volunteering virtually or in your community

                                • +
                                +

                                +

                                #LI-JS3

                                +

                                +

                                COVID-19 Vaccination Status Information Requirement (US employees only):

                                +

                                Thomson Reuters is committed to ensuring the continued safety of our employees in regards to Covid-19. While vaccination is not required for consideration or employment at this time, to inform our site planning and policies, we require all Thomson Reuters employees to verify their vaccination status upon starting with the Company.

                                +

                                +

                                Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                +

                                +

                                We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                +

                                +

                                Accessibility

                                +

                                +

                                As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                +

                                +

                                We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                +

                                +

                                +

                                Protect yourself from fraudulent job postings click here to know more.

                                +

                                +

                                More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                +
                                ",jeffrey.schadoff@thomsonreuters.com,,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2022-06-28T13:31:00.000Z,True,5,4,181,https://talenthub.vectorinstitute.ai/jobs/115720713-applied-research-scientist-nlp-at-thomson-reuters,,expired,2022-03-20T13:31:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Vector Quick Apply,Technology (Information and Media),Senior Level,PhD,Re-Posting an Expired Job, +f1925eb4-8a53-4094-9335-9973ac57e08d,131511361,Scotiabank,"Data Engineer, Data Management, AML/ATF Models and Analytics",on_site,Canada : Ontario : Toronto,2022-06-14T05:07:07.232Z,"

                                +

                                +

                                +

                                +

                                Requisition ID: 153714

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                +

                                As a data engineer/developer in Data Management, AML/ATF Models and Analytics team, you will contribute to building a better way to approach banking data for AML/ATF purposes by leveraging your engineering, analytical and communication skills to work with different business partners across the whole bank. This role will also involve the development of a web application and data design in a python framework.

                                +

                                +

                                Key Accountabilities:

                                +

                                +
                                • Deep dive into banking data, perform data profiling and analysis to determine better dimensional/hierarchical data for AML/ATF model and analytics.
                                • Design highly efficient backend data mart to support frontend application
                                • Develop python based web application to support AML requirements
                                • Work with technology partners such as the bank private cloud teams to build up and maintain cloud infrastructure
                                • Champion a customer focused culture to deepen client relationships by leveraging broader Bank systems and product knowledge
                                • Actively pursue effective and efficient operations of the respective fields, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                • +
                                +

                                +

                                Experience / Education:

                                +

                                +
                                • Strong knowledge of python and SQL
                                • Familiarity with development within Linux environment
                                • Experienced in using python web application frameworks, like Dash, Flask, etc.
                                • Strong knowledge of data lifecycle for customer, account, and transactional data
                                • Strong and effective communication skills for managing expectations with diverse groups for stakeholders
                                • Familiarity with JavaScript, CSS, and HTML preferred
                                • Bachelor's degree in computer science, engineering, or related fields
                                • AML knowledge or banking knowledge is an asset
                                • +
                                +

                                +

                                This is a temporary, full time role for 12 months.

                                +

                                +

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Data-Engineer%2C-Data-Management%2C-AMLATF-Models-and-Analytics-ON-M5H1B6/560413917/,feed-importer@jobboard.io,,,,2022-06-27T20:45:00.000Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/131511361-data-engineer-data-management-aml-atf-models-and-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Engineer%2C-Data-Management%2C-AMLATF-Models-and-Analytics-ON-M5H1B6/560413917/,expired,2022-06-14T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +f8c53e5f-9460-4580-9eb2-46cc22c271f2,133644152,Scotiabank,Principal Data Engineer - 9,on_site,Canada : Ontario : Toronto,2022-06-25T05:07:09.883Z,"

                                +

                                +

                                +

                                +

                                Requisition ID: 150001

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                +

                                Purpose:

                                +


                                The CIDA team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through impactful customer insights, innovative analytics, and well governed data. One of the main areas of transformation is the way data is produced, consumed, and managed at an enterprise level to drive business value. The aim is to provide a truly productized offering of re-usable data that can be delivered iteratively through a streamlined process and framework in order to meet the velocity that will allow data consumers to focus on delivering business value. We are looking to build our delivery team with influencers, makers, creators and industry leaders who will drive us forward.

                                +


                                The role of the Principal Engineer operates within the Data Engineering & Delivery team. This valuable member of the team will be responsible for creating scalable automated systems for re-usable data assets, pipelines and services for the broad enterprise use. This role is focused on creating transformative change in how our organization interacts with data. We are looking for someone who will work closely with other software engineers, data engineers, data architects, technology leads, analytics teams, infrastructure teams and other development/engineering teams in the bank to design and develop the technical solutions for enterprise data capabilities.

                                +

                                +


                                Key Accountabilities:

                                +


                                • Lead a high-functioning Product Engineering Team!
                                • Design, manage, and maintain data services and platforms to enable enterprise-wide use of data
                                • Be an evangelist and drive adoption of data services and automation tools
                                • Work closely with partner teams in Analytics, IT, various lines of business to create reusable assets that drive real business outcomes
                                • Participate in design discussions focused on scalability and design and implementation best practices.
                                • Work with other lead engineers and architects on breaking-down, scoping, and estimating tasks.
                                • Participate in planning and retrospective sessions, attend stand-ups, etc.
                                • Provide mentorship, peer review, and code review on data services & DevOps practices.
                                • Lead one or more products/services and define functions or features for data platforms.
                                • Support and maintain a successful product

                                +

                                +


                                Functional Competencies:

                                +


                                • 5+ years of experience in building and delivering scalable, enterprise-level software solutions
                                • 5+ years of software development and infrastructure experience, using a variety of object-oriented programming languages (e.g. Scala, Java, Python)
                                • 3+ years of experience leading and managing software development teams
                                • Functional experience developing applications using Cloud technologies (e.g. Google Cloud)
                                • Proven experience working with big data technologies (e.g. Spark, Airflow, MinIO, Rancher)
                                • Proven experience working with relational databases (DB2, MySQL, PostgreSQL).
                                • Strong Understanding of CI/CD (Jenkins, Git, Bitbucket, other).
                                • Experience working with traditional data warehousing / ETL tools (Talend, Informatica, DataStage, other).
                                • Experience in software engineering best practices such as code reviews, testing frameworks, maintainability and readability
                                • Knowledge and understanding of analytics & data science life cycle
                                • Knowledge and understanding of container and micro-services technologies (Docker, Kubernetes, APIM); domain expertise in data platform features and capabilities.
                                • Experience in Agile/Product/Architecture.
                                • Experience in Cloud Data Solutions would be an asset
                                • Ability to solve ambiguous and typically novel problems that require the effort of several engineers and organizational alignment
                                • Experience in technical leadership of medium to large sized technical teams in delivering production solutions.
                                • Strong communication skills, both written and spoken
                                • Attention to details, high standards for quality.
                                • Desire to learn, grow yourself and your team.
                                • Passion for driving teams towards high performance and a deep pride in quality craftsmanship that delights users.
                                • Writing and maintaining related documentation.
                                • Ability to be an effective influencer on technology direction / an effective evangelist.
                                • Helps recruit + groom technology leaders and future leaders.

                                +

                                +

                                +

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Principal-Data-Engineer-9-ON-M5C2V9/559004017/,feed-importer@jobboard.io,,,,2022-06-30T17:10:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/133644152-principal-data-engineer-9-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Principal-Data-Engineer-9-ON-M5C2V9/559004017/,expired,2022-06-25T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +efb25fd1-e2b9-4eaf-b351-1b34c6da587e,131925286,CIBC,"Consultant, Risk Business Intelligence Office",on_site,"Ontario, Canada",2022-06-16T10:46:10.130Z,"
                                +

                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                +

                                +

                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                +

                                +

                                To learn more about CIBC, please visit CIBC.com

                                +

                                +

                                Job Description

                                +

                                +

                                +

                                What you’ll be doing

                                +

                                +

                                As Consultant of the Risk Business Intelligence Office (RBIO) you’ll apply your Technical skillset and knowledge of Risk Management to enhance risk domain business intelligence. You’ll participate in collaborating with business owners to capture detailed requirements and aid in supporting our technical teams to deliver reporting solutions using the Business Intelligence tools available.

                                +

                                +

                                At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                +

                                +

                                How you’ll succeed

                                +
                                  +
                                • Business analysis – Work with owners of the various source systems that feed into our central data warehouse. This includes attending regular meetings to discuss new initiatives and planned promotion schedules in order for us to be able to synchronize our system with such upstream changes. In addition, provide support to our BI Developers with business requirements and UAT testing.

                                • +
                                • Collaborate – Work with technology teams that support our systems. They depend on our expertise to provide detailed requirements to implement our initiatives. Strengthen existing mutually beneficial relationships with external teams including the technology team.

                                • +
                                • Project planning and execution – As part of your business intelligence and data management responsibilities, you will participate in managing and tracking various commitments to our clients, helping to ensure that critical deadlines are closely monitored and not compromised.

                                -

                                Additional Information

                                -

                                Regular travel up to 15% of the time.

                                -

                                For dedicated and motivated employees, we offer an interesting and diversified job within a dynamic global team together with the individual and functional development in a professional environment of a global acting business. Fair treatment and a sense of responsibility towards employees are the principle of the Magna culture. We strive to offer an inspiring and motivating work environment. We offer attractive benefits (e.g. employee profit participation program) and a salary which is in line with market conditions depending on your skills and experience.

                                -

                                Awareness. Unity. Empowerment.

                                -

                                At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                                ",,https://jobs.magna.com/job/AURORA-Data-Engineer-ONTA-L4G-3M7/562249817/,aitalent@vectorinsitute.ai,https://www.magna.com/company/careers/career-opportunities,,,2022-10-11T16:51:00.000Z,False,0,12,49,https://talenthub.vectorinstitute.ai/jobs/152492042-data-engineer-at-magna-international,,expired,2022-09-21T20:50:00.000Z,admin,Enterprise (500+),Application Click Through,Manufacturing ,Mid-Senior Level,Masters Degree,New Posting, -109b6104-906d-4f17-bc01-4b52e41b4c31,155322786,NVIDIA,"Senior Manager, Autonomous Machine Business Group",on_site,"Ontario, Canada",2022-10-06T07:35:19.410Z,"
                                -

                                For more than two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With an unusual focus on this field, we offer niche platforms for the gaming, professional visualization, data center and automotive markets. Our work is at the center of the most consequential mega-trends in technology - virtual reality, artificial intelligence and self-driving - and there has never been a more exciting time to join our team. NVIDIA\'s World Wide Field Operation Group is looking for a Senior Manager in Tokyo, Japan for supporting Embedded markets.

                                +

                                Who you are

                                +
                                  +
                                • You give meaning to data. You enjoy investigating complex problems, and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way.

                                • +
                                • You demonstrate experience in having a thorough understanding of and extensive experience with data warehouses, data querying tools (SQL), BI Tools (Cognos, Tableau), experience with large data models and preparing data mapping and business requirement documents

                                • +
                                • You understand that success is in the details. You notice things that others don\'t. Your critical thinking skills help to inform your decision making.

                                • +
                                • You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.

                                • +
                                • You have a degree in computer science or mathematical studies. Business Analyst Certification is an asset.

                                • +
                                • Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

                                • +

                                -

                                What you\'ll be doing:

                                +

                                What CIBC Offers

                                +

                                +

                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                  -
                                • Enthusiastically grow Automotive, Factory Automation, Robotics, Smart-city (AI video surveillance) businesses with our embedded (Jetson) and data center products

                                • -
                                • Balance distributor, channel and Partners

                                • -
                                • Matchmaking and bridge global end customers with embedded and enterprise system partners

                                • -
                                • Develop outstanding strategic relationships with customers\' R&D and procurement teams in order to understand customers\' system architecture, existing solutions, development plans and competition

                                • -
                                • Develop new opportunity pipelines and drive design wins

                                • -
                                • Understanding and guide delivery of NVIDIA value proposition, key features, product messages, positioning

                                • -
                                • Engage appropriate NVIDIA resources as part of a virtual sales team

                                • -
                                • Provide market and partners feedback to product teams to drive strategic alignment

                                • -
                                • Provide projects pipeline, forecast and accounts update periodically

                                • +
                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                                • +
                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                • +
                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                -

                                What we need to see:

                                +

                                +

                                What you need to know

                                  -
                                • 10+ years Embedded Product and Sales experience and experience managing a team

                                • -
                                • Successful experience with Japanese industrial companies

                                • -
                                • Executive-level sales knowledge and experience

                                • -
                                • Excellent both English and Japanese / communication / presentation skills

                                • -
                                • Good organization ability / proactive

                                • -
                                • Data Center business experience is a plus

                                • -
                                • Distributor and channel management experience is helpful

                                • -
                                • Familiar with AI DL, Embedded Linux and Android environments is a plus

                                • -
                                • Education: BS EE, Computer science is plus

                                • -
                                • Strong customer relationship skills

                                • -
                                • Ambitious, inventive, market savvy, creative thinking

                                • +
                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                • +
                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                -

                                NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you\'re creative and autonomous, we want to hear from you!

                                -

                                We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

                                -

                                -

                                -

                                +

                                +

                                +

                                -
                                ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Japan-Tokyo/Senior-Manager--Autonomous-Machine-Business-Group_JR1951448,feed-importer@jobboard.io,,,,2022-10-13T17:33:26.901Z,False,0,1,23,https://talenthub.vectorinstitute.ai/jobs/155322786-senior-manager-autonomous-machine-business-group-at-nvidia,,expired,2022-10-06T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Technology (Product Development),Senior Level,Masters Degree,New Posting, -cf67c72f-8874-4f25-851c-f8640f1d9127,153868796,League,Data Analyst - Remote,full,US / Canada - Remote,2022-09-29T05:09:05.666Z,"
                                -
                                Help Us Shape the Future of Healthcare
                                -
                                -
                                At League, we’re big on building connections - both through our product and with each other. Our platform is consumer centric, personalized and always on. We’re reimagining the health benefits experience to give people a more consumer-centric way to manage their health: immediate, seamless, and tailored to their unique needs. It’s a front door to healthcare that empowers people to live healthier, happier lives. Every day.
                                -

                                As a Data Analyst, you will help us create an engaging product that improves the health outcomes of our users. In this role, you will use in-depth analysis and governance of business intelligence, to enable and drive our product managers and marketing team to improve the user experience and engagement on our platform.

                                -

                                People who have worked within cross-functional and multi-disciplined teams (and enjoyed doing so) will thrive in this role. Furthermore, you have experience in tying numbers to a larger, more strategic, business context. You enjoy communicating with non-technical stakeholders, using the art of converting simple questions into complex analysis and translating them back into meaningful and actionable insights.

                                -

                                Our data team also manages an internal Business Intelligence product that primarily leverages a SQL-based ETL to surface key performance indicators company-wide within Looker. You will be working closely with data engineers and data scientists on the team to build and maintain our data pipelines to ingest and transform data from a variety of sources to support these BI tools.

                                -


                                In this role, you will:

                                -
                                  -
                                • Develop analytics strategies and frameworks to monitor and analyze product performance and business KPIs related to application usage, and user engagement & conversion.
                                • -
                                • Provide insights through analysis to help inform decisions in all parts of the business, including Product Management, Marketing, and Healthcare.
                                • -
                                • Work closely with internal stakeholders to define the work you take on in support of their teams, as well as communicate data considerations and issues they need to consider in their work.
                                • -
                                • Work closely with data-engineers and data-scientists on data requirements, reporting and forecasting of metrics.
                                • -
                                • Regularly conduct tagging audits and analysis to ensure the accuracy of reports, in particular of the client events generated by user button clicks and screen loads within the app.
                                • -
                                -


                                Attributes

                                +

                                Job Location

                                Toronto-81 Bay, 31st Floor

                                Employment Type

                                Regular

                                +

                                Weekly Hours

                                37.5

                                Skills

                                +

                                Business Intelligence (BI), Business Intelligence Tools, Business Requirements, Microsoft Excel, Structured Query Language (SQL)
                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Consultant--Risk-Business-Intelligence-Office_2225995,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-06-30T10:51:07.785Z,False,0,4,15,https://talenthub.vectorinstitute.ai/jobs/131925286-consultant-risk-business-intelligence-office-at-cibc,,expired,2022-06-16T10:46:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +82c565a3-0ed6-4a2e-9c53-4f2b6dea94cc,129197757,CIBC,"Consultant, Risk Analytics",on_site,"Ontario, Canada",2022-06-02T10:45:08.034Z,"
                                +

                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                +

                                +

                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                +

                                +

                                To learn more about CIBC, please visit CIBC.com

                                +

                                +

                                Job Description

                                +

                                +

                                What You’ll Be Doing

                                +

                                +

                                Enterprise Risk Management (ERM) establishes and provides an independent risk perspective, strategic direction and leadership for various groups in ERM. One of the group is Risk Data Management office whose purpose is to promote and improve the value of risk data as a strategic asset within Risk Management. The core accountability of the Risk Data Management Office (RDMO) is to provide governance and oversight, to support various risk systems, as well as to execute risk data management processes across retail and wholesale credit risk data, market risk and trading credit risk, and operational risk data.

                                +

                                +

                                As a Consultant, Risk Analytics for Credit Model Performance Monitoring (CMPM) Delivery team, you can partner with Risk Management and Technology stakeholders to document, develop and test scorecards for Financial Crimes Model Performance Monitoring (FCMPM) and Credit Model Performance Monitoring (CMPM). You can also assist in the execution of controls related to the integrity of risk data and conduct ongoing data quality reviews and ensure that new initiatives meet the standards required to support the business unit’s objectives and overall controls. Also the successful candidate can manage the processes and procedures around scorecard development for CMPM/FCMPM and support ongoing user inquiries into scorecard results and triage and resolve any issues as required

                                +

                                +

                                Who You Are

                                  -
                                • You care deeply about using information and data in decision-making and have experience in communicating that logic to stakeholders.
                                • -
                                • You are a strong problem solver and can communicate the challenges and solutions effectively
                                • -
                                • You are a strong communicator and comfortable collaborating with groups and at times, training or educating teams to use data tools or to understand results
                                • -
                                • You drive to learn and master new technologies and techniques.
                                • -
                                • You like working in a fast-paced environment and are comfortable managing multiple tasks to tight deadlines.
                                • -
                                • You are eager to learn from others and help others grow with you.
                                • +
                                • +You have a graduate degree in Finance or STEM undergraduate degree. Exposure to machine learning coursework (Math, Data Analytics, Economics, Finance, Data Science) will be an asset.
                                • +
                                • +You have experience in Data Analysis tools (SQL, SAS EG, Hadoop, Netezza)
                                • +
                                • +You can demonstrate experience in building scorecards and dashboards for AML and Credit Risk monitoring. You have good coding skills, and have used SQL to extract and transform data for the purpose of producing reports for internal and external use
                                • +
                                • +You give meaning to data. You enjoy investigating complex problems, and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way.
                                • +
                                • +You have a key eye for Attention to detail as this position involves working with data, including validation of certain input data and verification of results.
                                • +
                                • +You have good knowledge of risk management terminology and principles. Experience in process improvement and project application development lifecycle
                                • +
                                • +You are familiar with relational databases and solid knowledge of database concepts.
                                • +
                                • +You can demonstrate excellent organizational and time management skills: ability to simultaneously manage multiple tasks and conflicting demands within time constraints with minimal supervision and effectively prioritize workload
                                • +
                                • +You are Flexible and have the ability to adapt to constantly evolving system, product and methodology changes
                                • +
                                • +You will ensure the you have the expertise in identification of metrics, thresholds and business rules for measuring data quality (i.e. accuracy, integrity, completeness, timeliness, latency and coverage)
                                • +
                                • +You will prepare and communicate insightful analysis including, variance analyses and risk performance.
                                • +
                                • +You understand that success is in the details. You notice things that others don\'t. Your critical thinking skills help to inform your decision making.
                                • +
                                • +You are skillful in evaluating complex data relationships and developing fact based reports and presentations on the knowledge gained from the analysis; being able to generate insights and recommend solutions to problems and present the outcomes.
                                • +
                                • +You act like an owner. You thrive when you\'re empowered to take the lead, go above and beyond, and deliver results.
                                • +
                                • +You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do.
                                -



                                Desired Outcome

                                +

                                +

                                How You’ll Succeed

                                  -
                                • Ownership of stakeholder relationship, where your consistent and impactful analysis and business intelligence work is aligned with company objectives.
                                • -
                                • Empower your stakeholders to make data driven decisions by guiding and assisting them to use our data products and by providing them with data insights.
                                • +
                                • +You exhibit CIBC’s values of trust, team work, and accountability
                                • +
                                • +You will frequently liaise with other departments to establish collaborative relationships, provide expertise, and communicate forecasting estimates.
                                • +
                                • +You will be responsible for data-driven forecasts that enhance efficiency and predictability.
                                • +
                                • +You are keen in problem solving
                                • +
                                • +You process good writing and visual presentation skills sufficient to articulate the results of analysis performed
                                • +
                                • +You have well-developed communication skills to facilitate development of good working relationships within CIBC
                                • +
                                • +You are able to execute job functions with minimal supervision
                                -


                                Required Education/Experience/Certificates

                                +

                                +

                                What CIBC Offers

                                +

                                +

                                At CIBC, our people are our greatest asset. You’ll become part of a diverse community that acknowledges everyone’s unique talents, and empowers teams to do what’s right for the client, and to do it well. As part of our team, you will:

                                  -
                                • Strong SQL skills and experience working with a modern ETL framework
                                • -
                                • Experience working as a data analyst or data scientist
                                • -
                                • Undergraduate or Masters degree in business administration, statistics, computer science or similarly quantitative discipline, or equivalent practical experience
                                • +
                                • Thrive: Benefit from an open and approachable culture that provides the flexibility and support you need to integrate your life at work and at home
                                • +
                                • Connect: Work in a place where the right technology and infrastructure fosters innovation, collaboration and creativity
                                • +
                                • Develop: Grow your skills and career through our best-in-class onboarding experience, ongoing learning opportunities, individual development planning, and comprehensive product training
                                • +
                                • Prosper: Share in our collective success with a competitive salary, incentive pay, banking benefits, health benefits program, and employee share purchase plan
                                -



                                Nice To Have Experience

                                -
                                  -
                                • Data analysis and data manipulation in Python (Pandas, PySpark, etc)
                                • -
                                • Healthcare industry experience
                                • -
                                -
                                -At League, everyone is welcome. We believe individuals should not be disadvantaged because of their background or identity, but instead should be considered based on their strengths and experience. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you are an individual in need of assistance at any time during our recruitment process, please contact us at recruitinginfo@league.com.

                                -
                                -
                                Our Application Process:
                                -
                                -
                                Applying to a role you love can be exhausting, and understanding the next steps can feel vague and uncertain. You have done the hard part of submitting your application; let's do ours by sharing potential next steps
                                +

                                +

                                What you need to know

                                  -
                                • You should receive a confirmation email after submitting your application.
                                • -
                                • A recruiter (not a computer) reviews all applications at League.
                                • -
                                • If we see alignment with League's needs, a recruiter will reach out to learn more about your goals. The recruiter will also share the team-specific interview process depending on the roles you are exploring.
                                • -
                                • The final step is an offer, which we hope you will accept!
                                • -
                                • -Prior to joining us, we conduct reference and background checks. Additional checks could be required for US Candidates, depending on the role you are exploring. -
                                • +
                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                • +
                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                -
                                -
                                Here are some additional resources to learn more about League:
                                - - - - -
                                -

                                Recognize and Avoid Employment scams. Practice safe job searching.

                                -Scammers are getting craftier and leveraging fake job postings to get personal information. Know the warning signs and protect yourself from scammers. Learn more here. -
                                -
                                -
                                Privacy Policy
                                -
                                Review our Privacy Policy for information on how League is protecting personal data.
                                -
                                -
                                ",,https://boards.greenhouse.io/leagueinc/jobs/4522034004,feed-importer@jobboard.io,,,,2022-10-13T17:30:14.043Z,False,0,18,71,https://talenthub.vectorinstitute.ai/jobs/153868796-data-analyst-remote-at-league,https://boards.greenhouse.io/leagueinc/jobs/4522034004,expired,2022-09-29T05:09:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Information and Media),Associate,Masters Degree,New Posting, -eb7e0d28-92cf-4fb4-b091-076b960df848,149429463,TD Bank Group,Data Scientist II,on_site,"Toronto, ON",2022-09-09T01:51:13.594Z,"
                                +

                                +

                                +

                                +

                                +

                                +

                                Job Location

                                Toronto-81 Bay, 31st Floor

                                Employment Type

                                Regular

                                +

                                Weekly Hours

                                37.5

                                Skills

                                +

                                Cloudera Hadoop, IBM Netezza, Microsoft Azure, SAS BI, Structured Query Language (SQL)
                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Consultant--Risk-Analytics_2218846,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-07-06T19:24:21.258Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/129197757-consultant-risk-analytics-at-cibc,,expired,2022-06-02T10:45:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +942e223f-ae2b-427f-9c85-aca79031e453,137619797,Borealis AI,Machine Learning Researcher,on_site,"Ontario, Canada",2022-07-16T21:46:02.964Z,"
                                +

                                What\'s the opportunity?

                                +

                                As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                                +

                                +

                                Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                                +
                                +
                                +

                                Your responsibilities include:

                                +
                                  +
                                • Developing novel AI solutions that facilitate impactful products;
                                • +
                                • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                                • +
                                • Working with the development team to transfer research work into production;
                                • +
                                • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                                • +
                                • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                                • +
                                +
                                +
                                +

                                You’re our ideal candidate if you have:

                                +
                                  +
                                • A passion for solving open problems using data and algorithms;
                                • +
                                • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                                • +
                                • Ability to formulate and drive a research project independently without close supervision;
                                • +
                                • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                                • +
                                +
                                +
                                +

                                What’s in it for you?

                                +
                                +
                                  +
                                • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                • +
                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                • +
                                • Leaders who support your development through coaching and managing opportunities;
                                • +
                                • Ability to make a difference and lasting impact from a local-to-global scale.
                                • +
                                +

                                About Borealis AI

                                +
                                +
                                +

                                Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                +

                                Inclusion and Equal Opportunity Employment

                                +

                                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                +

                                ",,https://www.borealisai.com/en/careers/employment/5409806002/,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-07-18T21:51:05.864Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/137619797-machine-learning-researcher-at-borealis-ai,,expired,2022-07-16T21:46:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,PhD,Re-Posting an Expired Job, +a4dfec8e-268e-405b-8f55-e8d002acacff,132558474,TELUS,Data Scientist,on_site,"Ontario, Canada",2022-06-19T07:35:02.952Z,"
                                +
                                +

                                Description

                                +
                                +


                                Join our team and what we\'ll accomplish together

                                +

                                +

                                The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high quality data, and a data-product oriented culture while always keeping an eye on the horizon, preparing for the next big thing.

                                +


                                We are entrepreneurial, and live by our AI Manifesto of failing fast and being outcome vs technology driven, creating value for our customers, team members, communities, and the environment. The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web-visualizations, we do it all!

                                +


                                Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

                                +

                                You’ll be a part of the team and journey that will transform the way we do business across various domains. You’ll collaborate with teams across the company, seeking out various data sources to help identify new business opportunities while championing data driven decision making and the accelerated adoption of AI. As a Data Scientist on the team, you will combine your expert knowledge of data science with your strong software development skills to automate and facilitate data exploration, analytics, machine learning model development, training and deployment and will leverage your experience in building reusable algorithms, functions and libraries.

                                +


                                Here\'s how

                                +

                                +
                                  +
                                • Lead the iterative development, validation, and deployment of AI/ML models
                                • +
                                • Collaborate on end-to-end automation efforts required to bring models to production
                                • +
                                • Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
                                • +
                                • Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
                                • +
                                • Influence how we approach business challenges and opportunities by driving the adoption of a data driven mindset
                                • +
                                • Develop re-usable code aimed at delivering on future goals faster and more reliably
                                • +
                                • Support and evolve the Advanced Analytics and Data Science roadmap by leveraging industry research, best practices and emerging tools/technology
                                • +
                                • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
                                • +
                                +
                                +
                                +
                                +

                                Qualifications

                                +
                                +


                                What you bring

                                +

                                +
                                  +
                                • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
                                • +
                                • You are sought out for your skills in Machine Learning and AI, including regression, classification, clustering, time series analysis, NLP, and optimization and bring 2 to 5 years of hands-on work and practical business experience in the above areas
                                • +
                                • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences
                                • +
                                • You have solid development experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras and have applied these skills towards solving actual business matters
                                • +
                                • You are comfortable in and with a Jupyter environment and infrastructure, and familiar with GitHub
                                • +
                                • You possess advanced knowledge in SQL and distributed computing
                                • +
                                • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
                                • +
                                • You are well versed in software and AI development lifecycles, including ML Ops
                                • +
                                • You are agile and have a bias for action, removing roadblocks to get results fast
                                • +
                                +

                                +

                                Great-to-haves

                                +

                                +
                                  +
                                • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, Engineering, or Data Science
                                • +
                                • Experience with agile methodology and work in a start-up environment
                                • +
                                • GCP or other cloud certifications
                                • +
                                • Experience with Bayesian / Belief Networks, and Causal Inference
                                • +
                                • Back end/API development experience
                                • +
                                +

                                #DSEjobs

                                +
                                +
                                +
                                ",,https://careers.telus.com/job/Toronto-Data-Scientist-ON/559753617/,feed-importer@jobboard.io,,,,2022-07-20T14:06:00.452Z,False,0,13,69,https://talenthub.vectorinstitute.ai/jobs/132558474-data-scientist-at-telus,,expired,2022-06-19T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, +7ca15e3d-f69a-42f7-821f-8985d7beeaeb,132026754,Accenture,Data Engineering Manager,on_site,Ontario - Toronto,2022-06-16T22:46:08.050Z,"

                                Job Description

                                Lead the Technology Solution, Architecture and Delivery of large and/or complex full lifecycle data applications across cloud, hybrid and on-prem landscapes

                                +

                                Experienced in multiple types of data applications and projects across multiple roles, platforms and technologies

                                +

                                In-depth understanding of data architecture, data management and data engineering patterns, practices and technologies.

                                +

                                An understanding of Advanced Analytics and Machine Learning architecture and patterns.

                                +

                                Experience in large data and platform modernizations/reengineering/migrations desirable.

                                +

                                Excellent collaboration skills working with a cross functional team of professionals across Technology and Business.

                                +

                                Excellent written and spoken communications skills in English and/or French.

                                +

                                +

                                +



                                Qualifications

                                Qualifications
                                8-12+ yrs. in Technology Delivery and Architecture and 5+ years experience delivering Data & Analytics solutions on Azure, with expertise in Azure data services, such as ADLS, Synapse, Azure SQL, Databricks, ADF, Azure DevOps and/or equivalents in other cloud platforms such as AWS or Google.
                                3+ years experience in developing Data Platforms on Spark/Hadoop, ETL, Data Analytics or Cloud Native Data Services
                                Experience developing or migrating Spark workloads
                                Strong hands-on experience in building data engineering pipelines e.g. Spark, Kafka
                                Design and Engineer data solutions with experience architecting data transformation projects, developing solution blueprints and modernization/migration plans, documenting, and presenting recommendations to clients and/or stakeholders
                                Strong written communication skills. Is effective and persuasive in both written and oral communication
                                Secret Security clearance Eligibility desirable.

                                Equal Employment Opportunity Statement, Requesting an Accommodation, and Other Employment Statements

                                +
                                +

                                Equal Employment Opportunity Statement

                                +

                                All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

                                +

                                Accenture is committed to providing veteran employment opportunities to our service men and women.

                                +

                                Requesting An Accommodation

                                +

                                Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

                                +

                                If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email.

                                +

                                Other Employment Statements

                                +

                                Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

                                +

                                The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

                                ",,https://www.accenture.com/ca-en/careers/jobdetails?id=R00097939_en&title=Data+Engineering+Manager,info@accenture.com,https://www.accenture.com/ca-en/careers,,,2022-07-20T14:07:32.201Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/132026754-data-engineering-manager-at-accenture,https://www.accenture.com/ca-en/careers/jobdetails?id=R00097939_en&title=Data+Engineering+Manager,expired,2022-06-16T22:46:00.000Z,import-xml-feed:Accenture-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, +af269dc8-ba03-4e40-91a7-f245fb280f98,136709837,TD Bank Group,Senior Fraud Strategist,on_site,"Markham, ON",2022-07-11T21:07:02.662Z,"

                                Company Overview

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                @@ -333717,346 +341445,495 @@ eb7e0d28-92cf-4fb4-b091-076b960df848,149429463,TD Bank Group,Data Scientist II,o

                                Department Overview

                                -

                                What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                                -

                                As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                                -

                                TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                                +

                                We can’t afford to be boring. Neither can you. The scale and scope of what TD does may surprise you. The rapid pace of change makes it a business imperative for us to be smart and open-minded in the way we think about strategy. TD’s strategy and business teams become more intertwined as new opportunities present themselves. This new era in banking does not equal boring. Not at TD, Not at Risk, Not at Fraud strategy, anyway.

                                +

                                The Fraud Risk Management & Global Security and Investigations (FRM & GSI) is an enterprise-level body that strives to protect TD Bank Group customers, shareholders and employees from financial crimes and fraud. Aligned with TD strategy and risk appetite, FRM & GSI develops and evolves enterprise policies, advanced analytics capabilities and operational processes to improve governance, oversight, and collaboration between fraud management and other control functions within the Bank.

                                +

                                The Canadian Fraud Management (CFM) team operates within FRM & GSI in a fast-paced environment requiring both strategic and tactical responses to changing fraud patterns and provides a unique opportunity to apply critical thinking and leadership skills in an innovation centric environment.

                                Job Description

                                -

                                -

                                About this Role

                                -

                                While you are a natural leader, you don’t mind getting your hands dirty. And in your role, you will simultaneously work to create data related solutions to drive business results, while working with senior leadership to communicate timelines and progress and identify business opportunities. You are not only a functional expert, you also possess broad managerial experience and specialized knowledge of regulatory and industry frameworks, using that knowledge to inform development cycles and develop industry leading analytic solutions. Most of all, your work ethic and thought leadership inspires your team to innovate with purpose, execute with speed, collaborate to deliver world-class data solutions and ultimately become leaders themselves.

                                -

                                We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work enterprise wide.

                                -

                                As a Data Scientist II, these are the essential qualifications of this role:

                                +

                                This role is responsible for monitoring fraud trends, investigating emerging threats and quickly developing and deploying new strategies to manage those threats.
                                The strategist

                                  -
                                • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core work you’re doing
                                • -
                                • Work closely with business owners to find opportunities and serve as an ambassador for data science
                                • -
                                • Design and deliver enterprise analytic solutions for customers
                                • -
                                • Develop powerful business insights from social, marketing and industrial data using advanced machine learning techniques
                                • -
                                • Build complex statistical models that learn from and scale to petabytes of data.
                                • -
                                • Analytical thought leadership and staying ahead of developments in data mining and the application of data science
                                • -
                                • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
                                • -
                                • Generally accountable for a significant business management area that typically has enterprise wide impact or accountability
                                • -
                                • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
                                • +
                                • Must balance loss decisions with the impact to operational teams and the customer experience.
                                • +
                                • Is expected to develop and apply deep fraud and process expertise, and to leverage sophisticated tools/detection systems to manage risk/reward balance.
                                • +
                                +

                                The successful candidate will work collaboratively with a diverse team of operational agents, Fraud solution developers, data scientists, business insights analysts and subject matter experts and applies fraud business expertise leveraging advanced tools and detection systems to manage risk appropriately. The incumbent will be accountable for loss and customer experience targets.

                                +

                                Accountabilities:

                                +

                                Fraud Loss Management

                                +
                                  +
                                • Reviews daily fraud attacks to create segmentation and develop/implement fraud strategies while balancing the impact to the operational teams and customer experience
                                • +
                                • Design and develop advanced analytics tools to derive business insights from data and information
                                • +
                                • Makes adjustments to shifting network rules, liability requirements or other exogenous factors
                                • +
                                • Executes strategy design and configuration in all fraud prevention platforms (e.g. Faclon, TSYS, FIS, SQN, PRM, Citadel, DPS, VCas, Avant, Experian, Transunion), in alignment with the Change Management protocols
                                • +
                                • Supports case valuation and prioritization to optimize fraud management
                                • +
                                • Become a subject matter expert on the end-to-end operational process, transaction liability and regulatory requirements
                                • +
                                +

                                Process Support

                                +
                                  +
                                • Produce timely diagnostics to identify system, strategy and operational issues
                                • +
                                • Participates in defect analysis to identify and remediate fraud coverage gaps
                                • +
                                • Identify and assess new developing fraud trends as they evolve
                                • +
                                • Participates in the creation of monitoring and reporting by defining requirements and performing validation
                                +

                                Partner Support

                                +
                                • Maintain strong relationships with internal stakeholders such as Fraud Operations
                                +
                                • Support the continuous improvement agenda for our operational partners

                                Requirements

                                -What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                  -
                                • Graduate level qualification in a relevant technical field (Computer Science, Engineering, Applied Mathematics/Statistics, Operations Research) ideally with a specialization in data mining/machine learning
                                • -
                                • Up to 5 years’ experience of working in analytical environments
                                • -
                                • Expertise in analytical tools such as SAS
                                • -
                                • High proficiency in Python, PySpark, Java, R, and its essential libraries.
                                • -
                                • Experience with Git
                                • -
                                • Experience with relational databases and usage of SQL
                                • -
                                • Experience with Object Orientated programming via Java/C++
                                • -
                                • Proficiency in Big data (Hadoop, HIVE, PIG, Spark etc.) and unstructured data
                                • -
                                • Demonstrated track record of manipulation of large volume, high frequency data for analytical purposes on a Big Data platform
                                • -
                                • Demonstrated experience of developing and implementing statistical models (predictive & descriptive)
                                • -
                                • Demonstrated experience in delivering high quality, high impact analytical solutions to business problems
                                • +
                                • Undergraduate degree from a technical domain (e.g. mathematics/statistics, computer science, engineering)
                                • +
                                • Experience working with big data management and analytics tools
                                • +
                                • Proficiency in a data extraction/analysis/visualization tool. Examples include: SQL, Python, SAS, Knowledge Seeker, Excel, Tableau
                                • +
                                • Demonstrated analytical, modeling and problem solving skills
                                • +
                                • Creative, Critical, Conceptual thinker, ability to wade through data and arrive at conclusions
                                • +
                                • Ability to communicate strategy analysis to both technical and non-technical team members, either verbally or via documentation
                                • +
                                • Ability to take initiative and work independently under tight timelines
                                • +
                                • Ability to work collaboratively and build relationships
                                • +
                                • Motivated to constantly strive to find innovative ways to enhance capabilities
                                • +
                                +

                                Preferable

                                +
                                  +
                                • Experience in fraud management is an asset
                                • +
                                • Knowledge of machine learning is an asset

                                -

                                Additional Information

                                -
                                #datascientist #LI-Hybrid
                                -

                                Hours

                                37.5

                                Inclusiveness

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                -
                                ",,https://jobs.td.com/en-CA/jobs/15707781/data-scientist-ii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-10-12T17:50:38.570Z,False,0,1,35,https://talenthub.vectorinstitute.ai/jobs/149429463-data-scientist-ii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15707781/data-scientist-ii-toronto-ca/,expired,2022-09-09T01:51:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,PhD,New Posting, -7497b34f-e5a7-4734-a72a-f21567bfd4e2,156979899,League,Senior Data Analyst - Remote,full,US / Canada - Remote,2022-10-15T17:26:07.467Z,"
                                -
                                Help Us Shape the Future of Healthcare
                                -
                                -
                                At League, we’re big on building connections - both through our product and with each other. Our platform is consumer centric, personalized and always on. We’re reimagining the health benefits experience to give people a more consumer-centric way to manage their health: immediate, seamless, and tailored to their unique needs. It’s a front door to healthcare that empowers people to live healthier, happier lives. Every day.
                                -

                                As a Senior Data Analyst, you will help us create an engaging product that improves the health outcomes of our users. In this role, you will use in-depth analysis and governance of business intelligence, to enable and drive our product managers and marketing team to improve the user experience and engagement on our platform.

                                -

                                People who have worked within cross-functional and multi-disciplined teams (and enjoyed doing so) will thrive in this role. Furthermore, you have experience in tying numbers to a larger, more strategic, business context. You enjoy communicating with non-technical stakeholders, using the art of converting simple questions into complex analysis and translating them back into meaningful and actionable insights.

                                -

                                Our data team also manages an internal Business Intelligence product that primarily leverages a SQL-based ETL to surface key performance indicators company-wide within Looker. You will be working closely with data engineers and data scientists on the team to build and maintain our data pipelines to ingest and transform data from a variety of sources to support these BI tools.

                                -


                                In this role, you will:

                                -
                                  -
                                • Develop analytics strategies and frameworks to monitor and analyze product performance and business KPIs related to application usage, and user engagement & conversion.
                                • -
                                • Provide insights through analysis to help inform decisions in all parts of the business, including Product Management, Marketing, and Healthcare.
                                • -
                                • Work closely with internal stakeholders to define the work you take on in support of their teams, as well as communicate data considerations and issues they need to consider in their work.
                                • -
                                • Work closely with data-engineers and data-scientists on data requirements, reporting and forecasting of metrics.
                                • -
                                • Regularly conduct tagging audits and analysis to ensure the accuracy of reports, in particular of the client events generated by user button clicks and screen loads within the app.
                                • -
                                -


                                Attributes

                                -
                                  -
                                • You care deeply about using information and data in decision-making and have experience in communicating that logic to stakeholders.
                                • -
                                • You are a strong problem solver and can communicate the challenges and solutions effectively
                                • -
                                • You are a strong communicator and comfortable collaborating with groups and at times, training or educating teams to use data tools or to understand results
                                • -
                                • You drive to learn and master new technologies and techniques.
                                • -
                                • You like working in a fast-paced environment and are comfortable managing multiple tasks to tight deadlines.
                                • -
                                • You are eager to learn from others and help others grow with you.
                                • -
                                -



                                Desired Outcome

                                +
                                ",,https://jobs.td.com/en-CA/jobs/15506314/senior-fraud-strategist-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-07-18T21:12:19.787Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/136709837-senior-fraud-strategist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15506314/senior-fraud-strategist-markham-ca/,expired,2022-07-11T21:07:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +2ed30b36-d7a9-428d-a0e4-0acd7e6f484e,131511368,FreshBooks,Data Engineering - Team Lead (Americas - Remote),on_site,"Toronto, ON, Canada",2022-06-14T05:07:09.760Z,"

                                +

                                It turns out… unicorns are real! In fact, FreshBooks just became one after raising our valuation to more than $1 billion. And ever since launching in 2003, we’ve been on a steady incline towards one goal: Building easy-to-use accounting software for small business owners. It’s the goal that’s driven us to expand into five offices, serving customers in over 160 countries. And it’s the goal we’d love for you to be a part of as a member of our global team as we continue our journey.

                                +

                                +

                                The Opportunity

                                +

                                FreshBooks is seeking a Data Engineering Team Lead to join our team. As part of the Data and Analytics Team, you will help us build and shape the future of our Data Engineering and Production Support teams, framework and processes. If you’re committed to great work and are constantly looking for ways to improve the systems you’re responsible for, we’d love to chat with you!

                                +

                                What you'll do:

                                  -
                                • Ownership of stakeholder relationship, where your consistent and impactful analysis and business intelligence work is aligned with company objectives.
                                • -
                                • Empower your stakeholders to make data driven decisions by guiding and assisting them to use our data products and by providing them with data insights.
                                • +
                                • Build, mentor and lead a team that specializes in data engineering.
                                • +
                                • Identify and encourage areas for growth and improvement within the team.
                                • +
                                • Create a technical vision in order to turn it into reality with the help of the team.
                                • +
                                • Maintain high standards of quality within the team by establishing good practices and habits. Identify and encourage areas for growth and improvement within the team.
                                • +
                                • Assist in the collection and documentation of user's requirements, development of user stories, estimates and work plans.
                                • +
                                • Participate in peer-reviews of solution designs and related code.
                                • +
                                • Assess opportunities for application and process improvement and prepare documentation of rationale to share with team members and other affected parties.
                                • +
                                • Adhere to high-quality development principles while delivering solutions on-time and on-budget.
                                • +
                                • Collaborate with data engineers, data scientists, and data analysts to design and refine a series of SLAs, SLOs and SLIs that drive excellence in data engineering monitoring, observability and support.
                                • +
                                • Design a robust incident management framework and work closely with Data Engineering management and product owners to provide timely and accurate communications.
                                • +
                                • Collaborate closely with platform, infrastructure and architecture teams to ensure our data engineering systems are well structured for scale, performance and cost.
                                -


                                Required Education/Experience/Certificates

                                +

                                What you bring:

                                  -
                                • Strong SQL skills and experience working with a modern ETL framework
                                • -
                                • Experience working as a data analyst or data scientist
                                • -
                                • Undergraduate or Masters degree in business administration, statistics, computer science or similarly quantitative discipline, or equivalent practical experience
                                • +
                                • Enthusiasm for data engineering!
                                • +
                                • 5+ years experience creating and maintaining data pipelines
                                • +
                                • Experience leading a team in the data & analytics industry
                                • +
                                • Experience with Google Cloud, or another major cloud provider such as AWS or Azure
                                • +
                                • Experience with BigQuery, Snowflake, Redshift, or similar cloud data warehouse technologies
                                • +
                                • Experience with Airflow (Workflow Management Platform)
                                • +
                                • Strong programming skills in SQL and Python or a similar language
                                • +
                                • Experience with streaming technology (e.g. Google Pub/Sub, AWS Kinesis, Dataflow, Apache Beam, Spark, etc.)
                                • +
                                • Experience with Docker, Jenkins, Kubernetes, Terraform, and/or other DevOps and infrastructure as code technologies.
                                • +
                                • Experience with monitoring, incident management and alert management tools (e.g. Datadog, PagerDuty)
                                • +
                                • A strong practitioner of test-driven (and behaviour driven) development
                                • +
                                • Experience with Git workflows, continuous integration and automated build pipelines
                                • +
                                • Experience working in an Agile environment
                                -



                                Nice To Have Experience

                                -
                                  -
                                • Data analysis and data manipulation in Python (Pandas, PySpark, etc)
                                • -
                                • Healthcare industry experience
                                • -
                                -
                                -At League, everyone is welcome. We believe individuals should not be disadvantaged because of their background or identity, but instead should be considered based on their strengths and experience. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you are an individual in need of assistance at any time during our recruitment process, please contact us at recruitinginfo@league.com.

                                -
                                -
                                Our Application Process:
                                -
                                -
                                Applying to a role you love can be exhausting, and understanding the next steps can feel vague and uncertain. You have done the hard part of submitting your application; let's do ours by sharing potential next steps
                                +

                                What you might bring:

                                  -
                                • You should receive a confirmation email after submitting your application.
                                • -
                                • A recruiter (not a computer) reviews all applications at League.
                                • -
                                • If we see alignment with League's needs, a recruiter will reach out to learn more about your goals. The recruiter will also share the team-specific interview process depending on the roles you are exploring.
                                • -
                                • The final step is an offer, which we hope you will accept!
                                • -
                                • -Prior to joining us, we conduct reference and background checks. Additional checks could be required for US Candidates, depending on the role you are exploring. -
                                • +
                                • A track record of staying at the forefront of data engineering technology.
                                • +
                                • Experience with industry ETL & BI tools (e.g. Fivetran, Stitch, Talend, Informatica, Datastage, Looker, Tableau, PowerBI, etc.)
                                • +
                                • Subject matter data expertise in the SaaS industry.
                                • +
                                • A limitless imagination for where data could go and what we can do with it to make our customers and our people awesome!
                                -
                                -
                                Here are some additional resources to learn more about League:
                                - - - - +

                                Why Join Us

                                +

                                We're an ambitious bunch, with our eyes laser-focused on shipping extraordinary experiences to small business owners. You'll be surrounded by talented team members who share a common vision for what an amazing software company could be, and have the opportunity to help build a world-class one, right here in downtown Toronto.

                                +

                                Apply now

                                +

                                Have we got your attention? Submit your application today and a member of our recruitment team will be in touch with you shortly!

                                +

                                FreshBooks is an equal opportunity employer that embraces the differences in all our employees. We celebrate diversity and are committed to creating an inclusive environment for all FreshBookers. All applicants are evaluated based on their experience and qualifications in relation to this position.

                                +

                                Here at FreshBooks, we welcome and encourage applications from people with disabilities. Should you require any accommodations during the recruitment process, please advise your recruiter on how we can meet your needs to ensure a fair and equitable selection process in a confidential manner.

                                +

                                +

                                #LI-MD2

                                ",,https://boards.greenhouse.io/freshbooks/jobs/4316675,feed-importer@jobboard.io,,,,2022-07-16T13:28:52.190Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/131511368-data-engineering-team-lead-americas-remote-at-freshbooks,https://boards.greenhouse.io/freshbooks/jobs/4316675,expired,2022-06-14T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Technology (Information and Media),Team Lead,Bachelors Degree,New Posting, +80482217-1491-4ee2-aa9e-a0c9442c6cc1,131892881,Cohere AI,"Software Engineer, ML Production",on_site,Toronto /,2022-06-16T05:07:09.444Z,"
                                +
                                Who are we?
                                +
                                We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learn to understand the meaning, sentiment, and intent of the words we use in a richness never seen before.
                                +

                                +
                                We recently raised our Series B, signed a multi-year partnership with Google Cloud, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.
                                +

                                +
                                We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, (over 23k citations) and was previously part of Google Brain. Our entire technical team is world-class.
                                +

                                +
                                We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.
                                +

                                +
                                Why this role?
                                +
                                This role sits at the intersection between machine learning and software engineering. It is a high-impact position in delivering large-scale language models that Cohere builds. This role will focus on system designs of model inference runtimes and model production pipelines to ensure that our models run efficiently and reliably in various environments. In addition, this role will work closely with the latest ML frameworks to integrate cutting-edge model runtimes.
                                +

                                -

                                Recognize and Avoid Employment scams. Practice safe job searching.

                                -Scammers are getting craftier and leveraging fake job postings to get personal information. Know the warning signs and protect yourself from scammers. Learn more here. +Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! We are looking for candidates based in Canada for this role.
                                -
                                -
                                Privacy Policy
                                -
                                Review our Privacy Policy for information on how League is protecting personal data.
                                +
                                +

                                As a Software Engineer, you will:

                                +
                                    +
                                  • Build model inference framework and infrastructure.
                                  • +
                                  • Build model production pipeline tools.
                                  • +
                                  • Integrate various third party model runtimes.
                                  • +
                                  • Build model performance profiling tools.
                                  • +
                                  • Optimize frameworks and improve system design.
                                  • +
                                +
                                +
                                +

                                You may be a good fit if you have:

                                +
                                    +
                                  • Extensive software engineering experience writing production-quality code.
                                  • +
                                  • Experience optimizing systems and tools.
                                  • +
                                  • Basic understanding of machine learning workflow.
                                  • +
                                  • Bonus: experience in at least one ML framework such as Tensorflow, PyTorch, or JAXBonus: experience writing kernels for GPUs using CUDA.
                                  • +
                                +
                                +
                                +
                                If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                +

                                +
                                We welcome applicants of all kinds and are committed to providing both an equal opportunity process and work environment. We value and celebrate diversity and strive to create an inclusive work environment for all.
                                +

                                +
                                Our Perks:
                                +
                                🤝 An open and inclusive culture and work environment
                                +
                                🧑‍💻 Work closely with a team on the cutting edge of AI research
                                +
                                🍽 Free daily lunch
                                +
                                🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                +
                                🐣 100% Parental Leave top-up for 6 months for employees based in Canada and 12 weeks in the US
                                +
                                🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                +
                                🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend
                                +
                                ✈️ 6 weeks of vacation and shared Canada/US/UK holidays
                                +

                                +
                                #LI-Remote
                                +
                                ",,https://jobs.lever.co/cohere/76faca41-c663-4e51-aee1-c96afa6058b7,feed-importer@jobboard.io,,,,2022-07-16T13:29:24.311Z,False,0,1,25,https://talenthub.vectorinstitute.ai/jobs/131892881-software-engineer-ml-production-at-cohere-ai,https://jobs.lever.co/cohere/76faca41-c663-4e51-aee1-c96afa6058b7,expired,2022-06-16T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,Bachelors Degree,New Posting, +ab9cba6e-0785-45ac-85e7-6c6abae156b6,137266384,TD Bank Group,Senior ML Engineering Manager AI Everywhere (Layer 6),on_site,"Toronto, ON",2022-07-14T21:07:02.634Z,"
                                +

                                Company Overview

                                +
                                +

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                +

                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                -
                                ",,https://boards.greenhouse.io/leagueinc/jobs/4497880004,feed-importer@jobboard.io,,,,2022-10-20T15:27:00.000Z,False,0,3,9,https://talenthub.vectorinstitute.ai/jobs/156979899-senior-data-analyst-remote-at-league,https://boards.greenhouse.io/leagueinc/jobs/4497880004,expired,2022-10-15T17:26:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Information and Media),Mid-Senior Level,Masters Degree,New Posting, -71f8b192-63b7-470f-be89-400963bbec2b,170608175,Sun Life Financial,Senior Data Scientist,on_site,"Ontario, Canada",2022-11-24T17:41:01.559Z,"
                                -

                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                +

                                Department Overview

                                +
                                Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform.

                                +

                                Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 – Visual Relationship (winner in 2019).

                                +

                                -

                                Job Description:

                                -

                                -

                                Role Summary

                                -

                                -

                                Within Sun Life, the Analytics & Insights teams are comprised of savvy and intellectually curious professionals who are on a mission to transform how we apply data and analytics to support Sun Life becoming client-centric. An integral part of the Analytics & Insights organization, the Data Science team supports Canadian business units in their journey to leverage data and analytics as a foundational pillar in delivering business value

                                -

                                -

                                Reporting to the Director, Data Science, as a Senior Data Scientist you will focus on supporting Canadian business units in accelerating the growth and application of analytics in driving value. The senior data scientist will leverage practical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases.

                                -

                                -

                                Sun Life views success in this role in demonstration of these key attributes:

                                -

                                Fierce curiosity. You are drawn to discovering and leveraging new data and taking on challenging business puzzles. An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing. A passion for solving problems. The most successful data scientists’ solution for what the right data to use, they solve using the most suitable (not most advanced) algorithms for the problem at hand and figure out how to execute and deliver with highest efficiency. Technical skills in both data and computer science. There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured data (SQL) Thirst for learning. You are a data scientist who is constantly updating their knowledge of data science state-of-the-art.

                                -

                                -

                                What will you do?

                                -
                                  -
                                • Apply best in breed data science including descriptive, predictive and machine learning techniques from the design to implementation that impacts the business.

                                • -
                                • Focus on Feature Engineering, Model Training and Model Evaluation in addition to data munging / wrangling

                                • -
                                • Identify the right algorithms and statistical techniques for a specific project as well as the best features for a model. Advise junior members on the same.

                                • -
                                -
                                  -
                                • Make business recommendations with effective presentations of findings at multiple levels of stakeholders

                                • -
                                • An active contributing member to the analytics community to help foster and grow the data science community at Sun Life

                                • -
                                • Champion and support diversity and inclusion

                                • -
                                +

                                Job Description

                                +
                                +

                                We are looking for an engineering manager to tackle cutting-edge problems of applying Machine Learning (ML) in the real world. Working across TD and Layer 6, you will be part of a leading financial services brand, have access to some of the largest datasets and innovate with leading machine learning scientists and engineers. Unleash the power of Machine Learning by helping us engineer models that scale and are rapidly deployable and, in the process, positively impact millions of customers. The goal of the team is to develop framework and automation solutions to help build and deploy robust and high-performing models through introducing software engineering best-practices.

                                +

                                As an Engineering Manager, you will lead an interdisciplinary team ranging from frontend engineers with data visualization focus, to backend engineers and machine learning researchers in explainability. You are expected to provide technical leadership and help the team grow.

                                +

                                You will also work with ML Scientists to learn their modelling workflow, and other stakeholders to develop a vision and manage the roadmap of development and research projects. so that you can design abstractions and build components that can be combined to build high quality models. You will work to develop and/or integrate tools that help with model monitoring, governance and explainability. You will work with ML Platform team to make sure these models can be trained and deployed on our computing infrastructure, taking advantage of cloud technologies like Azure Kubernetes and more.

                                +

                                -

                                What will you need to succeed?

                                +

                                Requirements

                                +
                                +

                                Must-Have

                                  -
                                • BSc/M.S. in a statistical, mathematical, or technical field (i.e., computer science) or equivalent experience

                                • -
                                • 3+ years experience in developing and implementing data science techniques (predictive, prescriptive, ML etc.)

                                • -
                                • Comfortable writing complex SQL queries to extract and integrate data from multiple database sources

                                • -
                                • Proficient in using one or more statistical programming languages (i.e., Python) for data science

                                • -
                                • Experience with AWS services including SageMaker

                                • -
                                • Experience with machine learning including supervised and unsupervised models

                                • -
                                • Demonstrated experience in data transformation & data manipulation

                                • -
                                • Experience working with Structured vs. Unstructured data

                                • -
                                • Experience with Big Data Technologies: Hadoop, HDFS, Hive, HBase,, Spark is strongly desirable

                                • -
                                • Effective and concise oral and written storytelling and insights communication skills

                                • -
                                • Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities

                                • -
                                • Ability to document work and effectively prioritize documentation

                                • -
                                • Bilingualism (French, English) required for Quebec only

                                • +
                                • Engineering leadership experience with having led high-performance engineering teams
                                • +
                                • Experience with building and scaling data-intensive software in Python and compiled languages such as Java/C
                                • +
                                • You value good software design and sweat over details in code and API design
                                • +
                                • Knowledge of machine learning modelling workflow
                                • +
                                • You enjoy learning new technology and educating others
                                • +
                                • You strive to communicate clearly and with empathy
                                • +
                                • You take great personal pride in building robust and scalable software
                                • +
                                • You are highly accountable and have a strong sense of ownership
                                • +
                                • Ability to do detailed code reviews and give thoughtful feedback
                                -

                                -

                                What will be nice to have?

                                -
                                • Past experience in life insurance/wealth management, or other financial services industry (e.g., retail banking, credit card, property and casualty insurance)

                                -

                                -

                                Unique Requirements

                                -


                                The candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the section 201 on the Federal Government site https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html

                                -

                                -

                                What\'s in it for you?

                                +


                                Nice to have

                                  -
                                • Great Place to Work® Certified in Canada and the US - 2022

                                • -
                                • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                                • -
                                • Named “Best Places to Work” by Glassdoor - 2021

                                • -
                                • Canada Award for Excellence for Mental Health at Work - 2021

                                • -
                                • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid, #LI-Remote

                                • -
                                • Competitive salary and bonus structure influenced by market range data

                                • -
                                • 20 days vacation per year and an innovative sabbatical program

                                • -
                                • Pension, stock and savings programs to help build and enhance your future financial security

                                • -
                                • A friendly, collaborative, and inclusive culture

                                • -
                                • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                                • -
                                • The opportunity to move along a variety of career paths with amazing networking potential

                                • +
                                • Experience building a library or a framework
                                • +
                                • Knowledge of machine learning algorithms
                                • +
                                • Experience with Azure cloud stack
                                • +
                                • Data analytics
                                • +
                                • Comfortable with math or statistics
                                +

                                -

                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                -

                                -

                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                -

                                -

                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                -

                                -

                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                +

                                Hours

                                +
                                37.5

                                -

                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                +

                                Inclusiveness

                                +

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                -

                                Salary Range:

                                80,000/80 000 - 130,400/130 400

                                -

                                Job Category:

                                Advanced Analytics

                                -

                                Posting End Date:

                                06/12/2022
                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Scientist_JR00065513-1?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-12-08T14:47:00.000Z,False,0,2,15,https://talenthub.vectorinstitute.ai/jobs/170608175-senior-data-scientist-at-sun-life-financial,,expired,2022-11-24T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -2d121e27-7b43-4393-b632-08a38764f7b1,177790906,Scotiabank,"Data Engineer, Enterprise Growth Marketing, MarTech & Operations (contract)",on_site,Canada : Ontario : Toronto,2022-12-15T17:22:06.156Z,"

                                -

                                -

                                -

                                -

                                Requisition ID: 168026

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +
                                ",,https://jobs.td.com/en-CA/jobs/16067282/senior-ml-engineering-manager-ai-everywhere-layer-6-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-07-21T21:12:06.732Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/137266384-senior-ml-engineering-manager-ai-everywhere-layer-6-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16067282/senior-ml-engineering-manager-ai-everywhere-layer-6-toronto-ca/,expired,2022-07-14T21:07:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +732a547c-f91c-484b-9d54-340fe7cc1eef,133484132,Scotiabank,"Associate Data Engineer, Canadian Business Banking",on_site,Canada : Ontario : Toronto,2022-06-24T05:07:11.188Z,"

                                -

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                The purpose of this role is to support the Enterprise Growth team in developing advanced analytics (AI / ML) capabilities through data engineering. The primary focus of the role is to work with the Marketing Operations team, the Global Data & Analytics Team and the Global Marketing Technology team in building and maintaining data pipelines and assisting the MIS & Reporting team with designing and evolving departmental reporting platforms and infrastructure. This role will support the onboarding of the customer data platform through Adobe CDP and AJO.

                                -

                                What Your Role Will Be
                                • Collaborate with stakeholders to deliver data models to address operational needs
                                • Combine multiple data sources across all contact center platforms and applications to support advanced analytics products
                                • Ingest massive volumes of structure and unstructured format data, model, transform and store it in a variety of data stores
                                • Support the Senior Data Engineer in defining data quality metrics and processes to monitor data in production environment
                                • Assist MIS & Data Analytics team with infrastructure development
                                • Develop ETLs for analytics solutions using Python, Spark, SQL and Power BI
                                • Produce ad hoc analyses, deep-dives, and drill downs on specific issues, topics, or areas of opportunity (e.g. process improvements)
                                • Support the Senior Data Engineer in preparing reports and presentations to communicate findings to stakeholders
                                • Assist in mentoring and up-skilling peers for advanced analytics
                                • Streamline, enhance and automate existing products to create capacity for team to develop new solutions
                                • Act as a subject matter expert in data engineering and GCP data technologies.
                                • Work with client teams to design and implement modern, scalable data solutions using a range of new and emerging technologies from the Google Cloud Platform.
                                • Work with Agile and DevOps techniques and implementation approaches in the delivery.
                                • Be required to showcase your GCP Data engineering experience when communicating with clients on their requirements, turning these into technical data solutions.
                                • Be required to build and deliver Data solutions using GCP products and offerings.
                                • Liaise and be part of our extensive GCP community, contributing in the knowledge exchange learning programme of the platform.

                                -


                                Skills You Already Have
                                • 3+ years data engineering experience
                                • 3+ years in cross-functional data teams
                                • 3+ years professional development skills
                                • 3+ years using python or other programming languages
                                • 3+ years using SQL for ETL and data analysis, flexibility on syntax (SQL server, PostgreSQL)
                                • Experience with data modelling, data warehousing and database design
                                • Experience with Python application development, package management, dependencies, and deployment
                                • Strong technical navigation skills to determine data sources, interpret technical documentation, and communicate requests and project requirements to IT partners
                                • Strong collaboration skills with ability to translate technical knowledge into business value
                                • Effective communication skills with ability to prepare project documentation and presentation for both technical and non-technical audiences
                                • Understanding of Agile and Scrum methodologies and experience working in a Scrum environment (Jira and Confluence)
                                • Advanced problem-solving skills, and able to navigate an uncertain environment
                                • Experience designing and building ETL, data pipelines, or data engineering solutions
                                • Experience and understanding of various ML techniques including NLP an asset
                                • Hands-on experience with Big Data ecosystem tools (e.g. Hadoop, Hive, Spark, BigQuery) and object storage (e.g. blob, MinIO) an asset
                                • Experience with Docker, CI/CD tools, and Airflow and Kubernetes an asset
                                • Experience with cloud architecture (Azure, AWS, GCP) an asset
                                • Hands on and deep experience working with Google Data Products (e.g. BigQuery, Dataflow, Dataproc, AI Building Blocks, Looker, Cloud Data Fusion, Dataprep, Google Cloud Storage & Compute Engine).
                                • Experience in Spark (Scala/Python/Java) and Kafka.
                                • Experience in MDM, Metadata Management, Data Quality and Data Lineage tools.
                                • E2E Data Engineering and Lifecycle (including non-functional requirements and operations) management.
                                • Regulatory and Compliance work in Data Management.
                                • E2E Solution Design skills - Prototyping, Usability testing and data visualization literacy.
                                • Experience with SQL and NoSQL modern data stores.
                                • Adobe data migration experience an asset

                                -


                                Education
                                University degree in science, computer science, math, statistics, finance, economics, or another quantitative field, or equivalent experience.

                                +

                                Requisition ID: 152179

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Data-Engineer%2C-Enterprise-Growth-Marketing%2C-MarTech-&-Operations_-ON-K1G6R7/565441017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-02T17:27:03.370Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/177790906-data-engineer-enterprise-growth-marketing-martech-operations-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Engineer%2C-Enterprise-Growth-Marketing%2C-MarTech-&-Operations_-ON-K1G6R7/565441017/,expired,2022-12-15T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -b37ac8f1-93f9-48d4-b197-1c24557bcffe,178992936,RBC,"Senior Analytics Manager, Data Products, Internal Audit",on_site,"Toronto, ON, Canada",2022-12-19T17:16:02.325Z,"
                                -

                                Come Work with Us!

                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                -

                                Job Title

                                Senior Analytics Manager, Data Products, Internal Audit

                                -

                                -

                                Job Description

                                -

                                What is the opportunity?

                                -

                                To be a part of a global, exciting and forward-thinking Data Products team within Internal Audit that are focused on building insight-driven applications to provide enhanced assurance across AML, Capital Markets, Compliance, Credit Risk, Group Risk Management, Investor & Treasury Services and Wealth Management. As RBC continues to evolve in response to new challenges that impact financial markets across the globe, Internal Audit have been proactive in transforming their approach from traditional auditing, to data-informed decision making when assessing and challenging the management of risk across the business.

                                -


                                The RBC CAE Group leverages a unique perspective— with a coordinated view across the entire business—to deliver valuable advice that not only gives assurance, but that illuminates a bigger picture, connects dots, builds best practices and broadens possibilities. We connect intelligence to protect and enable RBC.

                                -

                                -

                                What will you do?

                                -
                                  -
                                • Apply your skills in data exploration, statistical analysis and machine learning on a diverse range of data sources to identify insights and opportunities to develop data products.
                                • -
                                • Use your curiosity and own initiative to develop innovative solutions to a wide and ever-changing set of complex problems across RBC.
                                • -
                                • Automate and productionize the testing of key business controls to enable auditors in continuously monitoring key risks across the enterprise.
                                • -
                                • Collaborate with other data analysts, data engineers and data scientists within Internal Audit to scale your ideas from concept to production.
                                • -
                                • Support and mentor junior analysts.
                                • -
                                • Take ownership in driving the Data Products strategy across a wide portfolio of internal audit.
                                • -
                                • Design, develop and maintain productionized applications and dashboards for our end users.
                                • -
                                -

                                -

                                What do you need to succeed?

                                -

                                Must have

                                -
                                  -
                                • Degree in a quantitative field
                                • -
                                • Experience with either Python or R as well as SQL
                                • -
                                • Strong grasp of fundamentals in statistics (hypothesis testing, regression, inference)
                                • -
                                • Demonstrated experience exploring large, complex datasets for the purpose of anomaly detection and latent pattern recognition
                                • -
                                • Demonstrated experience building strong relationships and communicating effectively with both technical and non-technical stakeholders
                                • -
                                -

                                Nice to have

                                -
                                  -
                                • Experience developing interactive and sophisticated dashboards in Tableau (or similar tool)
                                • -
                                • Experience building natural language processing (NLP) and unsupervised learning models
                                • -
                                • Experience working with Dataiku
                                • -
                                • Understanding of software engineering design principles
                                • -
                                • An interest in finance
                                • -
                                -

                                -

                                What’s in it for you?

                                -

                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                -
                                  -
                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation
                                • -
                                • Leaders who support your development through coaching and managing opportunities
                                • -
                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                • -
                                • Opportunities to do challenging work
                                • -
                                • Flexible work/life balance options
                                • -
                                -

                                -

                                -

                                Job Summary

                                -

                                Address:

                                TORONTO, Ontario, Canada

                                City:

                                CAN-ON-TORONTO

                                Country:

                                Canada

                                Work hours/week:

                                37.5

                                Employment Type:

                                Full time

                                Platform:

                                Internal Audit

                                Job Type:

                                Regular

                                Pay Type:

                                Salaried

                                Posted Date:

                                2022-12-13-08:00

                                Application Deadline:

                                2022-12-30-08:00
                                -

                                Inclusion and Equal Opportunity Employment

                                -

                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                ​​​​​​​
                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                -
                                -

                                Join our Talent Community

                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                -
                                ",,https://jobs.rbc.com/ca/en/job/R-0000039509/Senior-Analytics-Manager-Data-Products-Internal-Audit,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-01-02T17:21:02.724Z,False,0,0,2,https://talenthub.vectorinstitute.ai/jobs/178992936-senior-analytics-manager-data-products-internal-audit-at-rbc,,expired,2022-12-19T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, -cc46bc6e-5f45-470f-878f-f172b9aafc11,177790902,Scotiabank,Data Science Manager,on_site,Canada : Ontario : Toronto,2022-12-15T17:22:05.923Z,"

                                +

                                Associate Data Engineer, Canadian Business Banking

                                +

                                Purpose

                                +


                                This role contributes to the overall success of Business Intelligence and MIS in Canadian Business Banking ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives while ensuring all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                +



                                The Associate Data Engineer supports development, ongoing management and enhancement of Business Banking data infrastructure to enable development and management of Business Intelligence, Business analytics and Data Science vision for the Business Bank.

                                +

                                Accountabilities:

                                +


                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                • Supports the development and management of database and Business Intelligence for Business Banking
                                • Build data architecture for Business Banking
                                • Develop new or enhance features across the platform: data pipelines, new datasets, efficient interfaces, and interactive visualizations using Business Intelligence tools such as Power BI and Tableau
                                • Architect the generation of powerful datasets to bring successful analytics to market
                                • Ensure data architecture encompasses all business lines and segments for Business Banking, 30+ source systems as well as all data dimensions including but not limited to client demographics, balance sheet & revenue information, operational & sales activity data
                                • Learn the business strategy and generate ideas for insightful tools
                                • Ensure data integrity and timely availability of data for generation of accurate and timely Business Intelligence and analytics
                                • Ensure data ingested and produced in the database has gone through rigorous data integrity checks including but not limited to comparison against financial reporting systems
                                • Work with data users to ensure datasets produced meet their analytic needs
                                • Ensure data is available on a timely basis for generation of daily, weekly, monthly Business Intelligence as well as ad hoc analytic needs
                                • Enable quick speed to market for new data needs for the Business Bank·
                                • Ensure analytic environment supports high powered computing, multiple software applications, multi-tenancy, data storage, data backup and other infrastructure needs for the analytics team·
                                • Actively bring cutting edge data solutions and next generation technology to Scotiabank
                                • Keep abreast with latest database technology and data solutions
                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                • Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
                                • Champions a high-performance environment and contributes to an inclusive work environment.

                                -

                                Requisition ID: 169269

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                Education / Experience / Other Information:

                                +

                                Education
                                • Bachelor’s degree in Computer Science or related field or relevant experience
                                • Master’s degree in Computer Science – preferred

                                -

                                The world is changing faster than ever and so are we!

                                +

                                Skills/Work Experience:
                                • 2+ years of data engineering and software experience
                                • Experience with Python and/or Scala required
                                • Detailed experience in the following: Unix, Mainframe, SQL, SAS, other programming tools required
                                • Experience with large data sets and working with Hadoop, NoSQL databases, Cassandra, HDFS, and/or graph databases strongly preferred
                                • Hands-on development in a distributed data environment an asset
                                • Experience with Business Intelligence Tools: Power BI, Tableau
                                • Excellent verbal and written communication skills are required
                                • Strong prioritizing and analytical skills
                                • The role requires a high degree of collaboration across wide ranging groups: Global Banking & Markets (GBM); GBP; Finance, Wealth Management, Retail Small Business, and various Business Banking areas.
                                • Strong technical skills in Math, Computer Science or related fields
                                • Excellent design and delivery capabilities
                                • Work in a standard office-based environment; non-standard hours are a common occurrence.

                                -

                                Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

                                -

                                Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

                                +

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Associate-Data-Engineer%2C-Canadian-Business-Banking-ON-M5H3Y2/559665617/,feed-importer@jobboard.io,,,,2022-07-22T05:12:05.443Z,False,0,0,4,https://talenthub.vectorinstitute.ai/jobs/133484132-associate-data-engineer-canadian-business-banking-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Associate-Data-Engineer%2C-Canadian-Business-Banking-ON-M5H3Y2/559665617/,expired,2022-06-24T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +38fc4f21-0845-4766-bc37-30607691b9ea,134862639,Scotiabank,"Associate, ALM Analytics & Development",on_site,Canada : Ontario : Toronto,2022-07-01T05:07:08.933Z,"

                                -

                                What You'll do in this Role?

                                -

                                As a Manager, you will report directly to a Senior Manager or Director and be a critical member of a team overseeing a portfolio of decisioning models and supporting analytic processes. You will support – from conception through execution and governance – the risk decisioning models used by 2 or more of the bank’s retail and small business product lines, across the entire customer lifecycle. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Model Operations, Product, Risk Strategy & Risk Management, Model Validation and Governance, Technology & Data, Finance, Legal, Compliance and Audit.

                                -

                                Your team will have access to both traditional SAS tools and a modern machine learning stack that includes on-premise GPU computing, open source Jupyter development environments, a Hadoop cluster, containerized API model deployment and data visualization business intelligence tools.

                                -

                                Under the guidance of your Director, your team of risk modeling experts will use these tools to develop advanced risk prediction models that will be used potentially millions of times, every year and therefore need to be not only accurate and precise, but highly stable, explainable, compliant, secure and useful. You will be responsible for understanding the goals & priorities set for you, executing them efficiently with a perpetual eye on quality, asking questions often and delivering results in harmony with your teammates.

                                +

                                Requisition ID: 156325

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                Is This Role Right for You?

                                -
                                • You believe, first and foremost, in always doing the right thing and doing things the right way
                                • You are both deeply curious and highly pragmatic
                                • You are comfortable with ambitious but realistic goals and are committed to achieving them
                                • You are social, engaging, not afraid to ask questions and relish the opportunity to learn from business partners (the majority of whom will be far less technical than you)
                                • You relish the implication and yet also understand the responsibility and weight that comes with the fact that every single time your model is used, it impacts a real human being
                                • You understand the difference between accuracy and precision and get excited by really great KS values and ROC curves
                                • You have a genuine love, passion and talent for programming, data, and predictive modeling
                                • You are comfortable initiating conversations and collaborating with diverse personalities
                                • You are committed to quality in everything you do – statistically, process and governance wise
                                • You look forward to sharing your insights with your peers through high-quality effective verbal and written communications
                                • You are professional, motivated AND FUN. We mean it.
                                • +

                                  Job Purpose

                                  +

                                  +

                                  Be part of a dynamic and innovative analytics team where you will be directly involved in developing high performance analytics that support traders, strategists, and senior management in Scotiabank’s head office Treasury. Our team consists of quantitatively minded people with diverse backgrounds in engineering, physics, finance, and computer science, who bring fresh ideas and perspectives to the projects we work on. Working within a top-tier Canadian bank treasury unit, you will be in a unique position to learn all aspects of how the bank operates and your contributions will directly be used to provide truly valuable insights into managing a large international bank’s balance sheet.

                                  +

                                  Scotiabank Treasury has undertaken a multi-year technology transformation to create new value-added analytics and to create a leading, best-in-class Treasury unit. As a member of the Treasury Analytics & Development team, the incumbent will be conceptualizing, developing, and deploying state-of-the art analytical models, high performance simulation systems, and front-end graphical solutions to support new and existing balance sheet management initiatives. You will also be responsible for building and deploying critical daily processes that will be leveraged to deliver reports and analytical tools to various team the group supports around Treasury and beyond.

                                  +

                                  We are looking for a passionate and quantitatively skilled individual to join the team who is quick at learning new concepts, demonstrates curiosity, enjoys research, and who is a creative problem solver. The ideal candidate also shows a strong interest in developing elegant analytical solutions utilizing a range of software tools, implements efficient coding practices, and creates pragmatic, results-focused analytics with a focus on the end-user experience. This position is ideal for a person with an advanced education in a highly technical discipline, and who possesses prior work experience in applied analytics, software development, and modeling within the quantitative finance industry. The ideal candidate will have prior work experience with python development and IT productionalization. Experience with data visualization and customer/user experience (Cx/Ux) interface design using latest web technologies would be an asset.

                                  +

                                  +

                                  Accountabilities

                                  +

                                  +
                                  • Develop, test, and deploy production-ready analytical tools, web-based applications, and the technology framework to measure, forecast, and simulate balance sheet structural interest rate risk exposures, margin analysis, and portfolio stress testing
                                  • Create new web-based, user-focused tools and reports for market facing trading desk and senior management focused on continually improving the customer experience
                                  • Provide technical expertise and support technical deployment within the team
                                  • Collaborate with multiple stakeholders to drive agile product version releases and faster user adoption
                                  • Maintain existing and develop new retail and wholesale banking product cash flow models, incorporating consumer behavior trends and business-line specific assumptions and retail forecasts
                                  • Provide timely analysis of balance sheet exposures and what-if scenario testing
                                  • Maintain, follow, and propose standards and control protocols for the group to ensure output is correct and reproducible
                                  • Ensure operational effectiveness to deliver analytics capabilities to end users
                                  • Work closely with market-facing, risk management, and finance teams on the various analytical, reporting and exposure measurement issues
                                  • Write, implement, test, and utilize sophisticated quantitative models for hedging and ALM purposes
                                  • Present to other Treasury colleagues regarding new SIRR analytics and ALM methodology impact testing
                                  • Identify efficiency opportunities by working with business lines in the development of new and/or changes to existing products
                                  • Build strong partnerships and rapports with multiple Finance and infrastructure units to initiate the review, testing, and final implementation of new ALM analytics initiatives across the Bank
                                  • Work with our IT groups to release processes and application to Bank production supported environments
                                  -

                                  Sample projects that you might work on include:

                                  -
                                  • Complete specialized analysis, develop creative statistical solutions and recommend improvements to estimation techniques, risk rating systems and/or internal or vendor-developed credit risk models
                                  • Collaborate with risk management teams, external vendors, technology, and country risk counterparts as well as other stakeholders (i.e. audit, product) to ensure consistent and effective governance, measurement and communication of models / scorecards and their performance
                                  • Conduct research of new innovative modeling methodologies, tools and regulatory requirements; develop new methodologies for model development, monitoring and reporting
                                  • Lead the periodic review and maintenance of credit risk models / scorecards
                                  • Identify, promote and lead process improvements for model development and monitoring
                                  • Ensure that the data used for model development is reliable and robust and that it adheres to industry and regulatory standards
                                  • +

                                    +

                                    Functional Competencies

                                    +

                                    +

                                    The incumbent must have:

                                    +
                                    • Strong technical knowledge in programming languages and data management software, including MATLAB, Python (Including being familiar with packages like Flask and Pandas/Numpy), SQL, C++, and Visual Basic.
                                    • Experience in full stack development utilizing technologies such as JQuery/Javascript, React.js, Streamlit for python and back-end tools such as node.js and Flask.
                                    • Experience in developing highly interactive, user-centric front-end web applications
                                    • Working understanding of interest rate market dynamics
                                    • Solid knowledge of financial and management accounting principles
                                    • Understanding and practical experience in Interest Rate Sensitivities
                                    • Strong presentation and communication skills, both oral and written
                                    • Excellent analytical, problem-solving, conceptualization, and strategic thinking skills
                                    • Ability to communicate technical and analytical concepts to a broad range of stakeholders
                                    • Strong customer-focus with a proven ability to translate complex customer requirements into user-focused final product
                                    +

                                    +

                                    Education

                                    +

                                    +
                                    • At least one Masters-level degree in Financial Engineering or highly technical disciplines (i.e. engineering, physics, or applied mathematics) with an undergraduate degree in physics, engineering, or computer science.
                                    • Minimum 2 years of experience at a top-tier financial institution, preferably with knowledge in interest rate products, asset liability management, and risk management.
                                    • +
                                    +
                                    • Previous model development experience and proven ability to assess, interpret, and implement financial theories, concepts, and models.
                                    • Advanced experience in computer programming, distributive computing, database management, machine learning, and development of analytical tools with a solid understanding of statistics, derivatives concepts, as well as interest rate sensitive products.
                                    • Expert knowledge of MATLAB data/statistical modeling software.
                                    • Strong SQL skills with knowledge and experience in building ALM systems / processes.
                                    • Creative problem solver and strong analytical skills.
                                    • Ability to effectively interact with end users of the ALM Analytics & Development Team’s tools and software products
                                    • +
                                    +

                                    +

                                    +

                                    treasuryjobs

                                    -

                                    What Are We Looking For?

                                    -

                                    We want talented pragmatic analytically oriented data scientists who are equally at home interpreting and applying statistics as they are ingesting and massaging data, translating regulatory requirements into models and explaining complex issues in simple concise ways. We want bright and energetic minds who come armed with a bottomless sense of curiosity about everything (great models and analytics are about so much more than just the numbers!), a passion for getting things done right – the first time – and a deep sense of personal and professional accountability.

                                    -

                                    To be a Manager in Retail Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you also need to be a collaborative team player who actively listens to stakeholders and customers because you are passionate about helping them win and you need to be interested in building something lasting and great. Working with customers across the bank to understand and translate their needs into outcomes, exploring both novel and legacy data sets and methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that your team “owns” will all be equally important.

                                    -

                                    We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

                                    -

                                    -

                                    Do you have the skills that will enable you to succeed in this role?

                                    -

                                    General

                                    -
                                    • Bachelor’s Degree in Mathematics, Computer Science, Engineering or an equivalent technical field
                                    • A demonstrated history of analytic problem solving and sound judgment
                                    • Experience as an analyst or data scientist with a track record of accomplishments working on cross-functional teams
                                    • Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit high-quality documentation and be accepted as a trusted advisor by peers
                                    • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines +

                                      Location(s): Canada : Ontario : Toronto

                                      Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                      At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Associate%2C-ALM-Analytics-&-Development-ON-M5H1H1/561067417/,feed-importer@jobboard.io,,,,2022-07-22T05:12:05.443Z,False,0,2,20,https://talenthub.vectorinstitute.ai/jobs/134862639-associate-alm-analytics-development-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Associate%2C-ALM-Analytics-&-Development-ON-M5H1H1/561067417/,expired,2022-07-01T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, +8161eb02-57c4-4cf6-a685-39f883ee6fa5,141830598,TD Bank Group,"Data Scientist, Cyber-Fraud",on_site,"Toronto, ON",2022-08-05T01:50:21.431Z,"
                                +

                                Company Overview

                                +
                                +

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                +

                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                +
                                +

                                +

                                Department Overview

                                +

                                The Cyber-Fraud Team is a department in the Corporate Office under the Protect Platform, Enterprise Protect. Operating on a North American basis, the Cyber-Fraud team together with business partners establishes and maintains a robust anti-fraud posture across the bank.

                                +

                                +

                                Job Description

                                +
                                +

                                Reporting to the Manager, Cyber Fraud Data & Insights, the Data Scientist, Cyber-Fraud will apply analytical techniques, provide technical expertise across a broad range of data management and specialized data functions to detect, identify and report on cyber-fraud. The successful candidate will work closely with other Analysts across the team and be accountable to provide specialized business intelligence, visualization, and analytics support to advance the Cyber-Fraud mandate to identify, detect, and deter fraud and financial crime. The incumbent will lead and support others with the development of reporting, monitoring key trends and defining KPI and KRI to current and emerging fraud threats TD Bank faces, supporting North America. The Data Scientist role requires strong analytic and leadership skills with the ability to interact effectively with business partners.

                                +

                                As a Data Scientist, Cyber-Fraud, you will:

                                +
                                  +
                                • +All-Source Analysis (ASA): Perform highly-specialized review and evaluation of incoming Cyber-Fraud information to determine its usefulness for detection and intelligence
                                    +
                                  • Analyze threat information from multiple sources, complete research and analysis using complex data methodologies to derive key insights/results in a presentable format
                                  • +
                                  • Identify emerging risks, cyber-fraud trends and anomalies for cyber-fraud metrics monitoring on KPIs and KRIs
                                  • +
                                • +
                                • +Data Administration (DTA): develop and administer data management systems that enable analytics through various languages, complex functions
                                    +
                                  • Provide technical expertise across a range of data analysis functions including data modeling, visualization, report design, machine learning and other specialized data management functions
                                  • +
                                  • Provide subject matter expertise in business intelligence and Reporting. Accountable for the development, adoption and ongoing enhancements of business reporting and/or BI capability and deliver on ad-hoc Cyber-Fraud initiatives as assigned
                                  • +
                                  • Provide expertise on mathematical concepts for the adoption of advanced analytics and data science
                                  -

                                  -

                                  Technical

                                  -
                                  • Strong fundamental understanding of statistics
                                  • 2+ years of overall experience in analytic roles developing and using predictive, risk and/or forecasting models
                                  • Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows)
                                  • 1 or more years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
                                  • Knowledge of credit risk models / scorecards
                                  • + +
                                  • +Investigate (IN): Investigates cybersecurity events or financial crimes related to account level attacks, digital evidence and analytical insights insights
                                      +
                                    • Knowledge and experience with the use of Security Information Event Management systems e.g.) Splunk to identify alerting and detect potential cyber-fraud events for Incident Response triage
                                    • +
                                    • Conduct cyber investigations and digital forensics as required
                                    • +
                                    +
                                  • +
                                  • Incident Response (CIR): Perform analysis of various log files from a variety of sources including security bot mitigation, web application firewall, other various cyber-fraud sources in various platforms, including Splunk to enable quick scope analysis and remediation
                                  • +
                                  +
                                    +
                                  • Provide consultation and advice to partners on Cyber-Fraud technology, information security, data, and related security analytics, including requirements and development of technical solutions and/or reporting
                                  • +
                                  • Have a strong understanding of fraud, digital authentication, information security, and general banking operations (considered an asset)
                                  • +
                                  • Strong analytical and problem-solving skills; uses strong communication skills to communicate complex issues in easily understandable terms.
                                  • +
                                  +
                                  • Apply sound judgement, discretion and collaborate with internal partners to navigate and resolve issues, and deliver value-added solutions
                                  +
                                +

                                +

                                Requirements

                                +
                                +
                                • Undergraduate degree in Statistics, Mathematics, Computer Science, or other quantitative discipline
                                +
                                  +
                                • Strong technical skills and experience with analytics tools such as SQL, R, Python, SAS and other tools/languages
                                • +
                                • 5+ years of relevant experience in an Analytics role with a Financial Institution
                                • +
                                • Information security certification/accreditation or analytics certifications an asset
                                • +
                                • High level of proficiency in MS Excel, Tableau, PowerPoint
                                +
                                +

                                +

                                Hours

                                +
                                37.5
                                +

                                +

                                Inclusiveness

                                +

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                +

                                +
                                ",,https://jobs.td.com/en-CA/jobs/15443374/data-scientist-cyber-fraud-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-08-09T01:55:20.172Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/141830598-data-scientist-cyber-fraud-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15443374/data-scientist-cyber-fraud-toronto-ca/,expired,2022-08-05T01:50:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +e02b91ae-bfb4-49bb-be4f-bb92c84ba065,139647716,Bell Canada,Data Science Developer Intern,on_site,"Toronto, Ontario",2022-07-26T18:23:04.269Z,"

                                Are you ready to grow your career by taking on a new role at Bell? We always look for qualified internal applicants within our own team to support their development.

                                +

                                Bell’s Field Services team is proud to be the face of the Bell brand, performing the best installation and repair services and maintaining Bell’s network for our residential and business customers.

                                -

                                Nice To Have's

                                -
                                • Proficient reading, writing and speaking Spanish (not required)
                                • Experience developing credit risk models / scorecards
                                • Domain expertise with any retail & small business banking products and/or risk management practices
                                • FRM, CFA credentials
                                • Experience training and deploying machine learning models using common Python open source frameworks (i.e., scikit-learn) and/or Python DevOps
                                • Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI) power user
                                • Experience working with FICO / TSYS / CGI decision systems (TRIAD, OM, ACE, CACS)
                                • +

                                  Do you know someone who would be perfect for this opportunity? If you refer a qualified candidate who is not a current Bell employee and they are hired, you may be eligible to receive a referral bonus! Simply look for the referral hashtag in the job description to see if this role qualifies.

                                  +

                                  +

                                  About Us:

                                  +

                                  The Data Engineering & Artificial Intelligence focuses largely on sourcing data, maintaining and developing machine learning models and deploying production model driven applications. Our team partners closely with other teams within the company and works most closely with Field Services, operationalizing machine learning to help us continue to transform the business.

                                  +

                                  +

                                  If you’re the type of person that has a strong sense of curiosity and is energized by solving complex puzzles, then this role it the perfect opportunity for you. With nearly limitless sources of data at your fingertips, the Data Engineering and Artificial Intelligence team collects and examines millions of data points on network and product performances to optimize resource utilization across a workforce of nearly 10,000 people. The team’s findings help prioritize key technology investments and ensures major corporate decisions are always data driven. This is a terrific opportunity to gain experience working with new cutting-edge technologies.

                                  +

                                  +

                                  Position Summary:
                                  Reporting to the Senior Manager, Advanced Analytics, the ideal candidate is a Developer, Data Science Intern, tasked with the successful planning, design and development of Machine Learning models that help Bell deliver a best in class customer experience. The successful candidate will work closely with cross-functional teams across Bell to implement and operationalize machine learning models that give real-time feedback to our customers and technicians.

                                  +


                                  Key Responsibilities:

                                  +
                                    +
                                  • Build code and models to translate data into actionable insights
                                  • +
                                  • Design and develop Machine Learning models to improve Customer Experience and optimize processes
                                  • +
                                  • Track model performance using appropriate KPIs, metrics and techniques
                                  • +
                                  • Deliver solutions with measurable results and benefits to the business overall and define key metrics for measuring success of the project
                                  • +
                                  • Communicate results of analysis and models to stakeholders effectively and confidently
                                  • +
                                  • Translating business imperatives into data centered questions to be able to quantify and evaluate them
                                  • +
                                  • Bring in new sources of data by exploring data across Bell and externally
                                  • +
                                  • Design and expand interactive dashboards
                                  -

                                  What's In it For You?

                                  -
                                  • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
                                  • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                                  • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
                                  • Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
                                  • A competitive compensation package
                                  • +

                                    +

                                    Qualifications:

                                    +
                                      +
                                    • Currently enrolled or recently completed undergraduate or masters degree in Engineering, Computer Science, Physics, Mathematics, Operations Management/Research, Business or relevant field
                                    • +
                                    • Self starter with excellent problem solving skills
                                    • +
                                    • Experience in using Python and SQL (Hadoop, Microsoft SQL Server, Teradata, SAS, Oracle) to assess data and gather valuable insights
                                    • +
                                    • Experience in developing and modifying Hadoop (Spark, Scala, Impala), Python and SQL ETL Processes
                                    • +
                                    • Experience deploying ML/AI models into production
                                    • +
                                    • Knowledge of machine learning practices and experience applying them to real datasets
                                    • +
                                    • Must be versatile and quick to learn new languages, packages and frameworks
                                    • +
                                    • Judicious and creative thinker who is exceptionally adept with quantitative and qualitative analysis
                                    • +
                                    • Ability to leverage insights and opportunities from data and metrics to build strategies and make recommendations
                                    • +
                                    • Team player with excellent organization and people skills
                                    +

                                    +

                                    Key Information:

                                    +
                                    • Internship term: 8-12 months starting in September 2022

                                    +

                                    Adequate knowledge of French is required for positions in Quebec.

                                    +

                                    Additional Information:

                                    +

                                    Position Type: Contractor
                                    Job Status:
                                    Intern
                                    Position Level:
                                    CP2
                                    Job Location:
                                    Canada : Ontario : Toronto
                                    Flexible work profile:
                                    Mobile
                                    Contact Name:
                                    Application Deadline:
                                    07/10/2022

                                    +

                                    +

                                    Please apply directly online to be considered for this role. Applications through email will not be accepted.

                                    +

                                    At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                                    -

                                    Location(s): Canada : Ontario : Toronto

                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Data-Science-Manager-ON-M5H1H1/565948617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-02T17:27:03.370Z,False,0,2,11,https://talenthub.vectorinstitute.ai/jobs/177790902-data-science-manager-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Science-Manager-ON-M5H1H1/565948617/,expired,2022-12-15T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -ec4213e5-6008-4907-8d56-b29b27bb767d,172488959,Scotiabank,Data Strategist - CID&A,on_site,Canada : Ontario : Toronto,2022-12-01T17:22:02.903Z,"

                                -

                                -

                                -

                                -

                                Requisition ID: 169255

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                -

                                DATA STRATEGIST

                                -

                                -

                                As a Data Strategist in the Corporate Functions Analytics team, you will help integrate analytics capabilities into Scotiabank’s digital products by developing and implementing data strategies that will help improve the customer experience.

                                -



                                What will you do in this role?

                                -



                                • Work cross-functionally to define data strategy and analytics roadmap for digital initiatives, collaborating with digital banking, other analytics teams, and the data office.
                                • Measure performance during release of new digital solutions. Understand performance trends, identify opportunities for growth, and provide actionable insights.
                                • Deep dive into data to identify opportunities, influence product development, and/or overall business strategies.
                                • Communicate and coordinate with teams to implement data-driven strategies while measuring progress.
                                • Create and deliver analytics solutions and data products to optimize revenue growth and improve customer experience.
                                • Collaborate with data scientists, data engineers, and operational teams to implement quality controls and automate data feeds and report generation.

                                -



                                Are you the right person for the role?

                                -


                                • You have a strong business acumen, and you excel at developing and communicating analytics insights.
                                • You have a deep curiosity about data, processes, and customer behaviour. You are always asking “why?”
                                • You have a high aptitude for diving in, taking ownership and picking up new things.
                                • You're eager to mentor, teach and share your ideas in a team environment.
                                • You have an open and transparent communication style, including the ability to distil technical details into easy-to-understand terms.

                                -


                                Do you have the skills that will enable you to succeed in this role?

                                -


                                • Ability to simplify and describe complex analytical concepts to non-technical stakeholders, and to tell a story with data.
                                • Experience using visualization tools like Power BI and ability to create dashboards with meaningful metrics.
                                • Ability to clean, transform and visualize large data sets working with various data formats.
                                • Proficient in one or more statistical programming languages (eg. Python, SQL, R); comfortable with creating large queries.
                                • Experience with digital analytics tools such as Adobe Analytics is a nice-to-have.
                                • Knowledge about common Machine Learning approaches (eg. feature engineering, classification, regression, clustering, NLP, time series forecasting) is a nice-to-have.

                                -


                                -

                                -

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Data-Strategist-CID&A-ON-M5C2V9/565907417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-04T14:18:59.261Z,False,0,1,13,https://talenthub.vectorinstitute.ai/jobs/172488959-data-strategist-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Strategist-CID&A-ON-M5C2V9/565907417/,expired,2022-12-01T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +

                                Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                                +

                                +

                                Please note that you may be required to submit your current Performance Review rating to the hiring leader during the recruitment process.

                                +

                                Created: Canada, ON, Toronto

                                ",,https://jobs.bell.ca/ca/en/job/BECACA378317EXTERNALENCA/Data-Science-Developer-Intern?utm_source=VectorInstitute&utm_medium=phenom-feeds,manveer.singh@bell.ca,https://jobs.bell.ca/ca/en,,,2022-08-08T18:07:00.000Z,False,0,15,76,https://talenthub.vectorinstitute.ai/jobs/139647716-data-science-developer-intern-at-bell-canada,BECACA378317EXTERNALENCA,expired,2022-07-26T18:23:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Internship/Co-op,Masters Degree,New Posting, +0b74d835-1bbd-458e-94c7-c4d38cea9366,136541688,Cohere AI,Machine Learning Engineer,on_site,Toronto /,2022-07-10T05:07:02.784Z,"
                                +
                                Who are we?
                                +
                                We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learn to understand the meaning, sentiment, and intent of the words we use in a richness never seen before.
                                +

                                +
                                We recently raised our Series B, signed a multi-year partnership with Google Cloud, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.
                                +

                                +
                                We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, (over 23k citations) and was previously part of Google Brain. Our entire technical team is world-class.
                                +

                                +
                                We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.
                                +

                                +
                                Why this role?
                                +
                                Design and implement novel research ideas.
                                +

                                +
                                Ship state of the art models to production.
                                +

                                +
                                Deep connections to academia.
                                +

                                +
                                We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and conducting research depending on individual interest and organizational need.
                                +

                                +
                                +Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role.
                                +
                                +

                                Working on Machine Learning, you will:

                                +
                                    +
                                  • Design, train and improve upon cutting-edge models
                                  • +
                                  • Develop new techniques to train and serve models safer, better, and faster
                                  • +
                                  • Train extremely large scale models on massive datasets
                                  • +
                                  • Engage in research collaborations with our partner organizations and academic affiliations
                                  • +
                                  • Publish your work in top-tier conferences and journals
                                  • +
                                  • Work closely with product teams to develop solutions
                                  • +
                                  • Assist our legal teams with preparation of patents on developed IP
                                  • +
                                  • Join us at a pivotal moment, shape what we build and wear multiple hats!
                                  • +
                                +
                                +

                                You may be a good fit if you have:

                                +
                                    +
                                  • Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR
                                  • +
                                  • Experience using large-scale distributed training strategies
                                  • +
                                  • Familiarity with autoregressive sequence models, such as Transformers
                                  • +
                                  • Strong communication and problem-solving skills
                                  • +
                                  • A demonstrated passion for applied NLP models and products
                                  • +
                                  • +Bonus: experience writing kernels for GPUs using CUDA
                                  • +
                                  • +Bonus: experience training on TPUs
                                  • +
                                  • +Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP)
                                  • +
                                    * This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere.
                                    +
                                +
                                +

                                +

                                +
                                If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                +

                                +
                                We welcome applicants of all kinds and are committed to providing both an equal opportunity process and work environment. We value and celebrate diversity and strive to create an inclusive work environment for all.
                                +

                                +
                                Our Perks:
                                +
                                🤝 An open and inclusive culture and work environment
                                +
                                🧑‍💻 Work closely with a team on the cutting edge of AI research
                                +
                                🍽 Free daily lunch
                                +
                                🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                +
                                🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
                                +
                                🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                +
                                🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend
                                +
                                ✈️ 6 weeks of vacation and shared Canada/US/UK holidays
                                +

                                +
                                #LI-Remote
                                +
                                ",,https://jobs.lever.co/cohere/71a5b634-cd52-4e9d-9cf3-3ac55ee94ac1,feed-importer@jobboard.io,,,,2022-08-12T05:12:04.150Z,False,0,14,66,https://talenthub.vectorinstitute.ai/jobs/136541688-machine-learning-engineer-at-cohere-ai,https://jobs.lever.co/cohere/71a5b634-cd52-4e9d-9cf3-3ac55ee94ac1,expired,2022-07-10T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,Bachelors Degree,New Posting, +9719a2f1-c1d3-4f6a-97c0-80a413511505,140937005,Cohere AI,NLP Software Engineer,on_site,Toronto /,2022-08-02T05:07:04.949Z,"
                                +
                                Who are we?
                                +
                                We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learn to understand the meaning, sentiment, and intent of the words we use in a richness never seen before.
                                +

                                +
                                We recently raised our Series B, signed a multi-year partnership with Google Cloud, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.
                                +

                                +
                                We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, (over 23k citations) and was previously part of Google Brain. Our entire technical team is world-class.
                                +

                                +
                                We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.
                                +

                                +
                                Why this role?
                                +
                                As a Rapid NLP prototyper you will be responsible for prototyping, developing, and deploying a wide variety of applications using the cohere API. You will work directly with Nick Frosst (co-founder / CTO) as well as the rest of the eng team, in order to build out and publish demos and examples of NLP applications. You would be a good fit for this role if you have a wide breadth of technical background (front end / back end / ML / Infra), if you are passionate about building things, and if you are a self-starter and enjoy working independently.
                                +

                                +
                                +Please Note: We have offices in Toronto, Palo Alto, and London but embrace being remote-first! There are no restrictions on where you can be located for this role.
                                +
                                +
                                If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you consider yourself a thoughtful worker, a lifelong learner, and a kind and playful team member, Cohere is the place for you.
                                +

                                +
                                We welcome applicants of all kinds and are committed to providing both an equal opportunity process and work environment. We value and celebrate diversity and strive to create an inclusive work environment for all.
                                +

                                +
                                Our Perks:
                                +
                                🤝 An open and inclusive culture and work environment
                                +
                                🧑‍💻 Work closely with a team on the cutting edge of AI research
                                +
                                🍽 Free daily lunch
                                +
                                🦷 Full health and dental benefits, including a separate budget to take care of your mental health
                                +
                                🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK
                                +
                                🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
                                +
                                🏙 Remote-flexible, offices in Toronto, Palo Alto, and London and coworking stipend
                                +
                                ✈️ 6 weeks of vacation and shared Canada/US/UK holidays
                                +

                                +
                                #LI-Remote
                                +
                                ",,https://jobs.lever.co/cohere/4c41f7eb-d3bb-44f6-8265-7593fd5fb972,feed-importer@jobboard.io,,,,2022-08-12T05:12:04.150Z,False,0,2,13,https://talenthub.vectorinstitute.ai/jobs/140937005-nlp-software-engineer-at-cohere-ai,https://jobs.lever.co/cohere/4c41f7eb-d3bb-44f6-8265-7593fd5fb972,expired,2022-08-02T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Scaling (20-499),Application Click Through,Technology (Product Development),Associate,Bachelors Degree,New Posting, +9f958ec1-d095-4866-8187-bafa61c7e6c0,136097230,Air Canada,Staff Software Engineer - 29778,on_site,"Location: TORONTO, ON, Canada",2022-07-08T05:07:05.765Z,"
                                • Create detailed development patterns and reviews across relevant stakeholders to ensure alignment to the overall business needs including technology stack, solution architecture, security requirements and performance testing documents
                                • Analyze, document and optimize the overall development patterns by developing design principles, models, plans, internal standards, budgets, and processes aligned on industry best practices
                                • Participate in the selection of relevant technologies and products when solicited and actively identify products and technologies to advance the development practices and end solutions.
                                • Present and socialize proposed solutions to technical boards during review sessions as well as articulate and communicate options to audiences with limited expertise related to the selected technology
                                • Support the delivery of the solution by providing insights to the application development teams and project managers that plan and execute delivery activities
                                • Support implementation processes in association with internal and external development teams, participate in project-related activities and enforces guidelines and standards that production teams use to help guide their work
                                • Assume responsibility for the quality of the implemented solution and its adherence to technology strategies, patterns, standards, best practices, and enterprise architectural standards.
                                • Serve as the primary interface with architecture, and provide technical leadership to development teams, and all internal and external teams involved in the implementation process.
                                • Create development patterns and coding guidelines that describe and explain solutions attributes and associated benefits and maintain documentation in collaboration with delivery teams.
                                • Support the identification of opportunities for continuous improvement of solution management methodologies, including obtaining feedback after the solution has been implemented
                                • Build standard patterns for different business use cases and projects.
                                • +
                                +
                                • Bachelor’s degree in a related field (Information Technology, Engineering). An advanced degree in a related area, an asset.
                                • Minimum of 10 years of IT experience, of which minimum 5 as a solution Experience working with integrated Enterprise systems
                                • Ability to work across multiple technical teams to set direction and priority
                                • Ability to work independently and as part of a team while demonstrating initiative and using good business acumen
                                • Expertise in a variety of open-source products, technologies, application and Integration frameworks.
                                • Expertise with web mobile application environments
                                • Experience in the layout and architecture planning for integrating multiple platform (mainframe, client-server, software packages with custom applications).
                                • Expertise with business rules engine concepts.
                                • Expertise in APIs, web services concepts and standards.
                                • Expertise in JSON, XML, XML Schema, XSL, various XML standards and web services.
                                • Experience in designing and implementing large server software with particular attention to security, scalability and high performance.
                                • Knowledge and experience with RDBMSs (DB2, MySQL, MS SQL Server, etc.)
                                • Experience working within multidisciplinary and collaborative environments
                                • Team player with effective interpersonal skills
                                • +
                                +
                                • Candidates must be eligible to work in the country of interest, at the time any offer of employment is made and seeking any required work permits/visas or other authorizations which may be required is the sole responsibility of the candidates applying for this position.
                                • +
                                ",,https://careers.aircanada.com/jobs/9797734-staff-software-engineer,feed-importer@jobboard.io,,,,2022-08-11T18:07:12.243Z,False,0,2,22,https://talenthub.vectorinstitute.ai/jobs/136097230-staff-software-engineer-29778-at-air-canada,https://careers.aircanada.com/jobs/9797734-staff-software-engineer,expired,2022-07-08T05:07:00.000Z,import-xml-feed:Gursavid's-Extractio,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, c266dbf9-64ce-4921-9e0a-8724f8689c73,142721313,TD Bank Group,Data Steward II,on_site,"Toronto, ON",2022-08-09T01:50:18.258Z,"

                                Company Overview

                                @@ -336628,495 +344505,165 @@ ccee9883-fa55-4cf0-a2f4-09f74e56feb1,145964510,TD Bank Group,DATA & ANALYTIC: BU

                                Inclusiveness

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                ",,https://jobs.td.com/en-CA/jobs/16530930/data-analytics-data-engineer-associate-graduate-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-09-22T20:40:26.635Z,False,0,16,100,https://talenthub.vectorinstitute.ai/jobs/145964526-data-analytics-data-engineer-associate-graduate-at-td-bank-group,,expired,2022-08-23T20:40:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Masters Degree,New Posting, -bd94e127-9df3-418c-9ccd-26ee7f1edd44,177791777,Sun Life Financial,Senior Data Scientist,on_site,"Ontario, Canada",2022-12-15T17:41:01.624Z,"
                                -

                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                -

                                -

                                -

                                Job Description:

                                -

                                -

                                Role Summary

                                -

                                -

                                Within Sun Life, the Analytics & Insights teams are comprised of savvy and intellectually curious professionals who are on a mission to transform how we apply data and analytics to support Sun Life becoming client-centric. An integral part of the Analytics & Insights organization, the Data Science team supports Canadian business units in their journey to leverage data and analytics as a foundational pillar in delivering business value

                                -

                                -

                                Reporting to the Director, Data Science, as a Senior Data Scientist you will focus on supporting Canadian business units in accelerating the growth and application of analytics in driving value. The senior data scientist will leverage practical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases.

                                -

                                -

                                Sun Life views success in this role in demonstration of these key attributes:

                                -

                                Fierce curiosity. You are drawn to discovering and leveraging new data and taking on challenging business puzzles. An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing. A passion for solving problems. The most successful data scientists’ solution for what the right data to use, they solve using the most suitable (not most advanced) algorithms for the problem at hand and figure out how to execute and deliver with highest efficiency. Technical skills in both data and computer science. There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured data (SQL) Thirst for learning. You are a data scientist who is constantly updating their knowledge of data science state-of-the-art.

                                -

                                -

                                What will you do?

                                -
                                  -
                                • Be able to engage with business stakeholders to understand business outcomes. Comfortable to translate business goals into analytical problems.

                                • -
                                • Be able to work in cross functional teams to develop an ML/data science product

                                • -
                                • Be able to break down broader data science development milestones into smaller goals, activities, and a work plan

                                • -
                                • Apply best in breed data science including descriptive, predictive and machine learning techniques from the design to implementation that impacts the business.

                                • -
                                • Focus on Feature Engineering, Model Training and Model Evaluation in addition to data munging / wrangling

                                • -
                                • Identify the right algorithms and statistical techniques for a specific project as well as the best features for a model. Advise junior members on the same.

                                • -
                                -
                                  -
                                • Make business recommendations with effective presentations of findings at multiple levels of stakeholders

                                • -
                                • An active contributing member to the analytics community to help foster and grow the data science community at Sun Life

                                • -
                                • Champion and support diversity and inclusion

                                • -
                                -

                                -

                                What will you need to succeed?

                                -
                                  -
                                • BSc/M.S. in a statistical, mathematical, or technical field (i.e., computer science) or equivalent experience

                                • -
                                • 3+ years experience in developing and implementing data science techniques (predictive, prescriptive, ML etc.)

                                • -
                                • Comfortable writing complex SQL queries to extract and integrate data from multiple database sources

                                • -
                                • Proficient in using one or more statistical programming languages (i.e., Python) for data science

                                • -
                                • Experience with AWS services including SageMaker

                                • -
                                • Experience with machine learning including supervised and unsupervised models

                                • -
                                • Demonstrated experience in data transformation & data manipulation

                                • -
                                • Experience working with Structured vs. Unstructured data

                                • -
                                • Experience with Big Data Technologies: Hadoop, HDFS, Hive, HBase, Spark is strongly desirable

                                • -
                                • Effective and concise oral and written storytelling and insights communication skills

                                • -
                                • Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities

                                • -
                                • Ability to document work and effectively prioritize documentation

                                • -
                                • Ability to work with junior data scientists, data engineers, ML engineers and guide their work if needed

                                • -
                                +68b0f148-93a7-4207-8978-1e795c4079eb,150871022,TD Bank Group,Data Engineer Associate,on_site,"Toronto, ON",2022-09-15T01:52:15.374Z,"
                                +

                                Company Overview

                                +
                                +

                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                +

                                TD’s Colleague Promise: A better you. A better us.

                                +

                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                +
                                +

                                +

                                Department Overview

                                +
                                +

                                Our Associate Programs offer new graduates the opportunity to work in one of TD’s many lines of business, and the chance to work on challenging projects and assignments, alongside experienced colleagues, and receive coaching and mentorship from business leaders and the Early Talent Experience team, to set you up for success in your career at TD.

                                +

                                As an Associate, you will also have access to programming, tools and a community of support for your pursuits and interests beyond the 9-5. This includes leadership talks, lunch and learns, self-development workshops, TD sponsored conferences, socials, team challenges, volunteer opportunities, career coaching and more. You will be part of a cohort along with other TD Associates from across Canada! If one of our over 20+ Associate programs is of interest to you, please read on and apply today.

                                +
                                +

                                +

                                Job Description

                                +
                                +

                                You will have the opportunity to work with one of our various teams within the Technology group, specifically working on TD’s big data platform (Data-as-a-service or DaaS). Job responsibilities in the Data Engineer Associate Program may vary by area. They may include, but are not limited to the following:

                                +
                                  +
                                • Apply Software Development Life Cycle (SDLC) and Project Management Methodology (PMLC) to complete specific development tasks for projects
                                • +
                                • Ensure defect-free programming by testing and debugging using available/appropriate tools and participate in reviewing peer coding
                                • +
                                • Design, develop and deploy system enhancements
                                • +
                                • Perform Unit and System Integration tests
                                • +
                                • Document system deployment plans for system implementation and code deployment
                                • +
                                • Participate in Proof-of-Concept (POC) on new technologies and document findings
                                • +
                                • Provide recommendations with full usability analysis
                                • +
                                • Perform root-cause analysis and resolution of application defects
                                • +
                                • Adhere to standard security coding practices to ensure application is free of coding vulnerabilities
                                • +
                                • Continuously enhance knowledge/expertise and keep current with leading-edge technologies trends/developments and develop expertise in TD services, applications, infrastructure, analytical tools and techniques that can contribute to effective solution development/delivery
                                • +
                                +
                                +

                                +

                                Requirements

                                +
                                  +
                                • Must be graduated, or graduating between Spring 2020 and Spring 2023, in Computer science, Engineering, Computing, or equivalent
                                • +
                                • Familiarity with at least one of the following technologies: Java, Scala, Python, Pyspark, or SQL
                                • +
                                • Practical experience/knowledge of data generation, data masking, data subsetting, data archiving, data virtualization, project management, management reporting, data modelling, and/or database development
                                • +
                                • Test Data Tools Knowledge (CA TDM or Delphix)
                                • +
                                • Familiarity with source code management such as GIT
                                • +
                                • Familiarity with Jira and Confluence
                                • +
                                • A thirst for constantly exploring emerging technology
                                • +
                                • Skills that would be an asset, but not required
                                    +
                                  • Familiarity with RDBMS, Big data
                                  • +
                                  • Familiarity with Data Warehousing, ETL, ELT concepts
                                  • +
                                  • Familiarity with Pandas, Numpy Scikit-learn, Matplotlb, Ruby, Linux
                                  • +
                                  • Interest or aptitude in Financial Systems and the Financial Industry
                                  • +
                                  • Familiarity with Cloud technology (Azure, AWS, GCP)
                                  • +
                                  +
                                • +
                                +

                                +

                                Additional Information

                                +
                                +
                                  +
                                • Please note: This role will have varying start dates as applications are being reviewed on an ongoing basis
                                • +
                                • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                • +
                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                • +
                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                • +
                                +

                                Assigned Line of Business Requirements
                                Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting

                                +

                                #AssociateP&T

                                +
                                +

                                +

                                Hours

                                +
                                37.5
                                +

                                +

                                Start Date

                                +
                                – Fall, – Spring, – Summer, – Winter
                                +

                                +

                                Inclusiveness

                                +

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                +

                                +
                                ",,https://jobs.td.com/en-CA/jobs/15614748/data-engineer-associate-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-10-15T12:17:38.295Z,False,0,12,88,https://talenthub.vectorinstitute.ai/jobs/150871022-data-engineer-associate-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15614748/data-engineer-associate-toronto-ca/,expired,2022-09-15T01:52:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, +1714ffca-1e67-4c80-9359-e7a074698faf,152493702,Magna International,Senior Power BI & DAX Developer,on_site,"Ontario, Canada",2022-09-21T20:53:41.600Z,"

                                Group Description

                                +

                                At Magna, we create technology that disrupts the industry and solves big problems for consumers, our customers, and the world around us. We’re the only mobility technology company and supplier with complete expertise across the entire vehicle.

                                +

                                We are committed to quality and continuous improvement because our products impact millions of people every day. But we’re more than what we make. We are a group of entrepreneurial-minded people whose collective expertise gives us a competitive advantage. World Class Manufacturing is a journey and it’s our talented people who lead us on this journey.

                                -

                                What will be nice to have?

                                +

                                Role Summary

                                +

                                The Senior Power BI & DAX Developer will be responsible for interpreting the business needs of stakeholders and for documenting and developing the reporting analytics that meet those needs. This includes the design, development, maintenance, integration and reporting of business systems through cubes, ad-hoc reports, and dashboards.
                                The selected candidate will work closely and effectively with internal stakeholders and business analysts to provide support and expertise in data management, reporting and underlying infrastructure. This senior position will also need to cover oversight and guidance on deliverables provided by external partners as well a supervising & leading role in the team.

                                +

                                Key Responsibilities

                                  -
                                • Past experience in life insurance/wealth management, or other financial services industry (e.g., retail banking, credit card, property and casualty insurance)

                                • -
                                • Past experience working in Agile delivery model

                                • -
                                • Past experience in developing and deploying production grade model in cloud infrastructure

                                • +
                                • Work with the business to define report requirements and translate those requirements into reporting deliverables
                                • +
                                • Design complex business intelligence and analytic solutions based on functional requirements.
                                • +
                                • Translate data results into written reports, tables, graphs and charts
                                • +
                                • Ensure the availability and performance of the solutions and reports
                                • +
                                • Participate in and lead functional and technical specification reviews
                                • +
                                • Research technical solutions to business problems
                                • +
                                • Develop/train on company standards and procedures to support self-service BI
                                • +
                                • Provide training and technical assistance to other team members and users for generation of various types of reporting
                                -

                                -

                                Unique Requirements

                                -

                                -

                                The candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the information on Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                -

                                -

                                What\'s in it for you?

                                -

                                +

                                Key Qualifications/Requirements

                                  -
                                • Remote/ Hybrid Work environment

                                • -
                                • Competitive salary and bonus structure influenced by market range data

                                • -
                                • 20 days vacation per year and an innovative sabbatical program

                                • -
                                • A friendly, collaborative and inclusive culture

                                • -
                                • Being part of our Analytics community, where we share best practices and broaden skill-sets

                                • -
                                • Flexible Benefits from the day you join to meet the needs of you and your family

                                • -
                                • Pension, stock and savings programs to help build and enhance your future financial security

                                • -
                                • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                                • +
                                • Completion of University Degree
                                • +
                                • 3 to 5 Years of Work Related Experience
                                • +
                                • Minimum 3 years experience in the development of Business Intelligence solutions based on Microsoft Tabular models including Power BI visualization and complex DAX expressions
                                • +
                                • Experience in designing and implementing data models both on Tabular and SQL based storage solutions
                                • +
                                • Solid understanding of ETL processes and Data Warehouse concepts
                                • +
                                • Strong SQL coding skills
                                • +
                                • Advanced skills in Microsoft BI stack (including Analysis Services, Paginated Reports and Power Pivot, Azure SQL)
                                • +
                                • Experience with Synapse and Data Flow would be nice to have
                                • +
                                • Self-motivated and self-managed with a high degree of analytical skills (quick comprehension, abstract thinking, recognize relationships)
                                • +
                                • Ability to be a strong team member, and communicate effectively
                                • +
                                • Ability to prioritize and multi-task, and reasonably estimate work effort for tasks
                                • +
                                • Excellent English in spoken and written
                                -

                                -

                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                -

                                -

                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                -

                                -

                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                -

                                -

                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                -

                                -

                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                -

                                -

                                Salary Range:

                                80,000/80 000 - 130,400/130 400

                                -

                                Job Category:

                                Advanced Analytics

                                -

                                Posting End Date:

                                15/01/2023
                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Scientist_JR00073206-2?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-01-14T20:41:46.116Z,False,0,5,24,https://talenthub.vectorinstitute.ai/jobs/177791777-senior-data-scientist-at-sun-life-financial,,expired,2022-12-15T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -d54cd684-b80e-4d00-af8d-7886a742f200,183865713,Scotiabank,"Manager, Enterprise Growth Marketing & Strategy - Personalization",on_site,Canada : Ontario : Toronto,2023-01-05T17:22:04.330Z,"

                                -

                                -

                                -

                                -

                                Requisition ID: 167276

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                -

                                As a Manager, Enterprise Growth Marketing & Strategy - Personalization, you will collaborate with Product Marketing, Analytics, Paid Media and Journey Management teams to identify data-driven insights and help define marketing audience strategies. You will own audience development, strategy, execution and measurement from end-to-end to enable a customer-centric journey. Also, you will play a key role in delivering against marketing KPIs.

                                Responsibilities

                                • Provide thought leadership and strategy on the use of audience data and insights
                                • Work with stakeholders across multiple business lines to determine opportunities for personalization strategies across acquisition, engagement and retargeting to impact overall companies performance
                                • Provide support for audience creation and activation on media platforms for various campaigns
                                • You will possess strong analytic skills, problem solving skills combined with deep technical knowledge with advertising platforms
                                • Collaborate with Paid Media team to create and deliver results-driven online advertising campaigns as part of overall digital marketing strategy
                                • Collaborate with data analytics partners to identify data opportunities for segmentation, data modeling and reporting
                                • Support and plan roadmaps to prepare business lines for cookie deprecation
                                • Bring in new ideas around segmentation leveraging data internally and through data partnerships
                                • Be proactive in audience creation and optimization initiatives
                                • Experience delivering complex technical content to large groups
                                • Experience in creating compelling data-driven presentations

                                Qualification

                                • 5 years of experience leading audience strategy
                                • Experience using Adobe Audience Manager or any other DMPs
                                • Strong knowledge of digital landscape, digital marketing strategies and tactics
                                • Experience working with media buying digital platforms i.e. DV360, Meta, Pinterest and Amazon as a few
                                • Strong knowledge in analytics platform and audience insights platform i.e. Adobe Analytics, Google Analytics, Environics, Google Trends
                                • Have knowledge around CRM data and behavioural data attributes (1st, 2nd and 3rd party)
                                • Experience activating audience segments across advertising platforms
                                • Team player and quick learner
                                • Experience in communicating strategy and briefs to multiple stakeholders
                                • Strong written and oral communication skills

                                Nice to Have
                                • Experience working with Customer Data Platform
                                • Ability to work with raw data using R, Python or SQL
                                • Experience working with Google Cloud platform

                                +

                                Additional Information

                                +

                                Regular travel up to 25% of the time

                                +

                                For dedicated and motivated employees, we offer an interesting and diversified job within a dynamic global team together with the individual and functional development in a professional environment of a global acting business. Fair treatment and a sense of responsibility towards employees are the principle of the Magna culture. We strive to offer an inspiring and motivating work environment.

                                +

                                We offer attractive benefits (e.g. employee profit participation program) and a salary which is in line with market conditions depending on your skills and experience.

                                +

                                Awareness. Unity. Empowerment.

                                +

                                At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                                ",,https://jobs.magna.com/job/AURORA-Senior-Power-BI-&-DAX-Developer-ONTA-L4G-3M7/562373917/,aitalent@vectorinsitute.ai,https://www.magna.com/company/careers/career-opportunities,,,2022-10-21T20:53:46.907Z,False,0,2,25,https://talenthub.vectorinstitute.ai/jobs/152493702-senior-power-bi-dax-developer-at-magna-international,,expired,2022-09-21T20:53:00.000Z,admin,Enterprise (500+),Application Click Through,Manufacturing ,Mid-Senior Level,Masters Degree,New Posting, +faa27459-e858-4705-a315-dda4188b7a71,153858718,EY,Senior (Data Management),on_site,Toronto,2022-09-29T04:44:01.786Z,"

                                Senior (Data Management)

                                +
                                Location: Toronto
                                +
                                Other locations: Primary Location Only
                                +
                                Date: Oct 3, 2022
                                +

                                At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

                                -

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Enterprise-Growth-Marketing-&-Strategy-Personalization-ON-M5C2W1/565354917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-16T21:42:00.000Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/183865713-manager-enterprise-growth-marketing-strategy-personalization-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Enterprise-Growth-Marketing-&-Strategy-Personalization-ON-M5C2W1/565354917/,expired,2023-01-05T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -a6c6d19b-a08e-4791-8ab3-b180ccedf644,183865770,TD Bank Group,Data Scientist I,on_site,"Toronto, ON",2023-01-05T17:24:03.340Z,"
                                -

                                Company Overview

                                -
                                -

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                -

                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                -
                                -

                                -

                                Department Overview

                                -

                                We are looking for world-class engineers to tackle cutting-edge problems of applying Machine Learning (ML) in the real world. Working across TD, you will be part of a leading financial services brand, have access to some of the largest datasets and innovate with leading machine learning scientists and engineers. Unleash the power of Machine Learning by helping us engineer models that scale and are rapidly deployable and, in the process, positively impact millions of customers. The goal of the team is to develop framework and automation solutions to help build and deploy robust and high-performing models through introducing software engineering best-practices.

                                -

                                -

                                Job Description

                                -
                                -

                                About this Role

                                -

                                As Machine Learning Engineer at TD, you will work with ML Scientists to learn their modelling workflow, so that you can design abstractions and build components that can be combined to build high quality models. You will work to develop and/or integrate tools that help with model monitoring, governance and explainability. You will work with ML Platform team to make sure these models can be trained and deployed on our computing infrastructure, taking advantage of cloud technologies like Azure Kubernetes and more.

                                -

                                Must-Have

                                -
                                  -
                                • Experience working on high-performance engineering teams and being part of cross-functional delivery teams
                                • -
                                • Experience with building and scaling data-intensive software in Python
                                • -
                                • Knowledge of machine learning modelling workflow and manage machine learning lifecycle
                                • -
                                • Experience building and manage a machine learning data pipeline
                                • -
                                • You value good software design and sweat over details in code and API design
                                • -
                                • You enjoy learning new technology and educating others
                                • -
                                • You strive to communicate clearly and with empathy
                                • -
                                • You take great personal pride in building robust and scalable software
                                • -
                                • You are highly accountable and have a strong sense of ownership
                                • -
                                • Ability to do detailed code reviews and give thoughtful feedback
                                • -
                                -

                                Nice to have:

                                -
                                  -
                                • Experience building a library or a framework
                                • -
                                • Knowledge of machine learning algorithms
                                • -
                                • Experience with Azure cloud stack
                                • -
                                • Data analytics
                                • -
                                • Knowledge with C++
                                • -
                                • Knowledge of one of javascript framework, such as React, Vuejs or Angular
                                • -
                                -
                                -

                                -

                                Requirements

                                -
                                -What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                -
                                  -
                                • University or post-graduate degree
                                • -
                                • Strong academic background (e.g., computer science, engineering)
                                • -
                                • 2+ years relevant experience
                                • -
                                -
                                -

                                -

                                Additional Information

                                -
                                -#LI-Hybrid #datascientist
                                -

                                -

                                Hours

                                -
                                37.5
                                -

                                -

                                Inclusiveness

                                -

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                -

                                -
                                ",,https://jobs.td.com/en-CA/jobs/17480967/data-scientist-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-16T21:45:00.000Z,False,0,7,38,https://talenthub.vectorinstitute.ai/jobs/183865770-data-scientist-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17480967/data-scientist-i-toronto-ca/,expired,2023-01-05T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -84588dae-1319-41c8-8fe4-692913414a7a,181831458,TD Bank Group,Sr Business Info Mgmt Analyst,on_site,"Markham, ON",2022-12-29T17:24:02.649Z,"
                                -

                                Company Overview

                                -
                                -

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                -

                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                -
                                -

                                -

                                Department Overview

                                -
                                -

                                Business Information Management (BIM) at TD is part of a creative, enterprise-wide data and analytics ecosystem. Roles in BIM are highly professional and valued, specialized yet inter-connected and focused on making the availability of business information to designers, developers and decision-makers a priority, all with a united purpose to serve customers and continually build a better bank.

                                -

                                We’re looking for analytical and agile professionals who can merge and translate data into technology and business information, serving today’s business needs and setting in motion TD’s longer-term goals and strategic objectives.

                                -

                                If you get data, its power and potential, we think you’ll love working at TD, where data knows no bounds and where your professional expertise will help to drive the business forward and take your own career to new heights.

                                -
                                -

                                -

                                Job Description

                                -
                                -

                                Are you an expert level business information analyst, equipped with both conceptual and practical expertise in business information management? If so, this role offers a hands-on and high-career growth opportunity to provide business technical leadership across a broad range of information management functions to support various areas of data and analytics.

                                -

                                Enjoy partnering with colleagues and directing data traffic? In this advanced professional role, you’ll work both independently and within teams as a senior lead analyst. Colleagues and business partners will look to you to manage and direct activities related to analysis, design and support of business data management solutions, including larger projects.

                                -

                                As a Senior Business Information Management Analyst, you will:

                                -
                                  -
                                • Be the expert-level team analyst, considered an authority with in-depth knowledge and experience in your field of specialty as well as working knowledge of broader related areas
                                • -
                                • Lead projects of moderate to complex risk and resource requirements; may lead end-to-end processes or functional programs
                                • -
                                • Analyze and understand business and data requirements to develop complete business solutions (e.g. analysis of data models, entity relationship diagrams, data lifecycle management, governance, lineage, metadata and reporting elements)
                                • -
                                • Develop business requirements; design and implement complex business data information management frameworks
                                • -
                                • Apply automation and innovation on data platforms and on new development projects / initiatives
                                • -
                                • Conduct a range of data analyses, demonstrating your in-depth experience with very large datasets and big data technologies; assessing business information-related data requirements aligned to business needs and for specific data platforms, applications systems and servers
                                • -
                                • Partner and collaborate with business and technology partners to resolve data / application issues and ensure requirements delivery
                                • -
                                • Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality and innovation and, ensure timely communication of issues/points of interest
                                • -
                                -
                                -

                                -

                                Requirements

                                -
                                -

                                What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                -
                                  -
                                • Undergraduate degree or technical certificate
                                • -
                                • Five (5) or more years relevant experience from a business administration, statistical, mathematical, scientific or financial background
                                • -
                                • Sound conceptual knowledge in your area of specialty
                                • -
                                • Fluent in one or two programming languages
                                • -
                                • Advanced analytical and problem-solving skills
                                • -
                                • Proficient knowledge of various data sources, tools and technologies used in preparing summaries/reports
                                • -
                                • In-depth knowledge of competitor and market trends
                                • -
                                • Proficient to analyze, organize and prioritize work while meeting multiple deadlines
                                • -
                                • Expertise in using analytical software tools, MS Office, data analysis methods and reporting techniques
                                • -
                                • Strong ability to work collaboratively and independently, communicate effectively (both speaking and writing), follow instructions/direction, and help building relationships across teams and functions
                                • -
                                • Act as a brand champion for our business area / function and TD, both internally and externally
                                • -
                                -
                                -

                                -

                                Additional Information

                                -
                                -#LI-Hybrid #dataengineer
                                -

                                -

                                Hours

                                -
                                37.5
                                -

                                -

                                Inclusiveness

                                -

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                -

                                -
                                ",,https://jobs.td.com/en-CA/jobs/16911971/sr-business-info-mgmt-analyst-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-18T17:29:06.466Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/181831458-sr-business-info-mgmt-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16911971/sr-business-info-mgmt-analyst-markham-ca/,expired,2022-12-29T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -5ba101ec-ee95-49e1-8d7b-6418c9af2738,183877268,Unity Health Toronto,Data Engineer ,on_site,"Toronto, ON, Canada",2023-01-05T18:37:55.982Z,"

                                NOTE: Position is hybrid: 1-2 days in office, the rest of week days remote

                                -

                                Unity Health Toronto, comprised of Providence Healthcare, St. Joseph’s Health Centre and St. Michael’s Hospital, works to advance the health of everyone in our urban communities and beyond. Our health network serves patients, residents and clients across the full spectrum of care, spanning primary care, secondary community care, tertiary and quaternary care services to post-acute through rehabilitation, palliative care and long-term care, while investing in world-class research and education. Join our team in our mission to continue to put patients and families at the centre of everything we do, in the role of Data Engineer Data Science & Advanced Analytics.

                                -

                                The Data Science and Advanced Analytics (DSAA) team at Unity Health Toronto (UHT) is an advanced healthcare data analytics group that uses scientifically rigorous methods to conduct meaningful analyses that generate data-driven insights so clinicians and management can make better decisions, increase hospital efficiency, and improve patient care.

                                -

                                The role of the data engineer is to extract, transform and load data from source systems (EHRs, administrative databases, registries, etc) into repositories or pipelines so that the data can be used for analytics (reporting, business intelligence, statistical modeling, machine learning, etc). The scope of this role is end-to-end, such that it includes all activities from requirements gathering and database analysis, to pipeline design and programming, to ongoing QA and maintenance of data pipelines and target data systems.

                                -

                                Duties and Responsibilities

                                -
                                  -
                                • Engages with stakeholders and data scientists to understand their analytic/research/business needs, and work collaboratively with them to develop and validate concrete business requirements for data pipeline design
                                • -
                                • Documents business requirements as required
                                • -
                                • Carries out analysis of source system databases to discover the structure, flows, functions, and interdependencies of data within the system using custom written SQL scripts or an enterprise tool (eg. Data Virtuality Studio).
                                • -
                                • Documents findings and presents to the stakeholders and data scientists.
                                • -
                                • Based on requirements and analysis findings, conducts detailed interviews with subject matter experts and data scientists to inform the design of a logical pipeline model
                                • -
                                • Documents data pipeline model using mock-up or partial outputs as appropriate, and validates with stakeholders and data scientists
                                • -
                                • Constructs and automates the data pipeline from validated model
                                • -
                                • For data streams, utilizes HL7/FIHR or other appropriate messaging standard to create a messaging stream, listener and queuing solutions
                                • -
                                • Designs and implements robust error and exception handling procedures
                                • -
                                • Documents data pipeline architecture
                                • -
                                • Routinely monitors system logs/alerts for error and exception detection
                                • -
                                • Manually runs jobs/restarts pipelines when automation fails
                                • -
                                • Maintains an ongoing quality assurance to correct for data drift
                                • -
                                • Collaborates with IT Security team to monitor and protect pipelines against data leakage
                                • -
                                • Patches/updates data pipeline software, scripting tools, etc as needed
                                • -
                                • Routinely monitors data pipeline health and optimizes code when necessary
                                • -
                                • Is responsible for ongoing cultivation of new skills and knowledge in their area
                                • -
                                • Stays abreast of industry trends and best practices, via webinars, blogs, conferences, etc.
                                • -
                                • Curates and shares this knowledge with the rest of the Data Integration and Governance team to ensure the team remains at the cutting edge of digital health
                                • -
                                -

                                QUALIFICATIONS

                                -
                                  -
                                • Completion of a relevant Information Technology Bachelor’s Degree program in related field, or recognized equivalent combination of work experience and education required
                                • -
                                • Extensive knowledge in the design and development of data pipelines required;
                                • -
                                • Mastery of SQL as well as at least one of either R or Python required;
                                • -
                                • Working knowledge of different database systems (MS SQL Server, Oracle, Netezza etc) preferred;
                                • -
                                • Experience designing and running testing scenarios required;
                                • -
                                • Strong interpersonal skills required;
                                • -
                                • Familiarity with cloud architecture (AWS, Azure, GCP, etc.) preferred;
                                • -
                                • Working knowledge of Kafka, Storm, Spark and similar distributed computational tools preferred;
                                • -
                                • Knowledge on Linux commands and Shell scripts required;
                                • -
                                • Good knowledge of data warehouse concepts and experience with BI/DW concepts e.g., facts, dimension, star/snowflake schema structures, 3NF modeling, etc., required;
                                • -
                                • Strong working knowledge of Microsoft Office products, e.g., Excel, PowerPoint, Word, Visio required;
                                • -
                                • Strong analytical and technical design skills required;
                                • -
                                • Working knowledge of Git preferred;
                                • -
                                • Experience working in a healthcare business environment preferred;
                                • -
                                • Good judgment and understanding of what issues to escalate, resolve on your own, making suggestions for possible resolution required;
                                • -
                                • Ability to learn new technology expediently required;
                                • -
                                • Ability to lead or participate in business meetings to capture requirements, provide status updates and document the requirements required;
                                • -
                                • Ability to maintain responsibility for all aspects of pipeline development, automation and improvements/operations for a project required;
                                • -
                                • Ability to work effectively in a team environment and across all organizational levels, where flexibility, collaboration and adaptability are important required;
                                • -
                                • Results oriented with the ability to manage multiple assignments simultaneously while ensuring commitments are met required.
                                • -
                                -

                                As a condition of employment, all external hires will be required to submit proof of COVID-19 vaccination or documentation unless a valid accommodation under the Ontario Human Rights Code exists. Please note, if you are extended an offer of employment, you will be required to provide proof of vaccination in Ontario QR Code format. All internal candidates must be in compliance with Unity Health Toronto’s COVID-19 Vaccination Policy.

                                ",,https://unityhealth.to/careers-at-unity-health-toronto/?JobNumber=912248,michaelia.banning@unityhealth.to,https://unityhealth.to/,,,2023-02-03T00:44:00.000Z,True,0,33,145,https://talenthub.vectorinstitute.ai/jobs/183877268-data-engineer-at-unity-health-toronto,,expired,2023-01-05T18:37:00.000Z,website-existing-job-slot,Scaling (20-499),Application Click Through,Health,Associate,Bachelors Degree,New Posting, -b5cc0a09-f2e2-402a-8d6a-ff59aa607cc0,189569804,TD Bank Group,Modelling / Forecasting Senior Analyst (Quants),on_site,"Toronto, ON",2023-01-23T17:24:02.344Z,"
                                -

                                Company Overview

                                -
                                -

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                -

                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                -
                                -

                                -

                                Department Overview

                                -
                                -The Model Control and Governance (MCG) team manages the model control process for trading market risk and valuation models used in TD Securities and provides quantitative support to market risk functions in Market Risk. It is a 1B function that oversees market risk model risk governance to ensure compliance with TD Model Risk Management Framework and Model Risk Policy. MCG also plays a critical role in monitoring of Non-Retail AIRB parameter models in Canada and US, covering back-testing, regulatory reports and OSFI ongoing compliance review.
                                -

                                -

                                Job Description

                                -
                                -The Senior Analyst in MCG will support model control process for trading market risk and valuation models used in TDS. Key accountabilities include:

                                -
                                  -
                                • Act as Subject Matters Expert in quantitative model testing and reviews for TDS valuation pricing models, market risk capital models and counterparty credit risk models, and provide analytical support to business partners
                                • -
                                • Responsible for semi-annual model usage report and quarterly analytic model limitation monitoring process
                                • -
                                • Conduct model implementation testing and control process across PnL, Risk, VaR and CCR for various TD’s global trading businesses, including Interest Rate, Equity, FX, Credit and Commodity
                                • -
                                • Perform system release review and follow version control process for trading and risk systems
                                • -
                                • Provide quantitative support to business partners on key TDS projects and initiatives
                                • -
                                • This position involves working effectively with different internal partners to ensure the appropriateness and accuracy of models used by the bank
                                • -
                                -
                                -

                                -

                                Requirements

                                -
                                  -
                                • Excellent quantitative finance knowledge on derivative products, as well as the valuation and risk management methodologies
                                • -
                                • Solid understanding of pricing theory, stochastic calculus and numerical techniques used in derivative pricing (PDE/trees, Monte Carlo simulation, optimization, etc.)
                                • -
                                • Excellent written and verbal communication skills
                                • -
                                • Strong project management skills, ability to successfully work with multiple stakeholders to achieve the project’s objectives
                                • -
                                • Good computational and programming knowledge
                                • -
                                • Graduate degree in a quantitative discipline such as Mathematical/Computational Finance, Mathematics, Physics, Computer Science, or Engineering
                                • -
                                • Previous working experience in Model Development, Model Validation or related quantitative role
                                • -
                                -

                                -

                                Hours

                                -
                                37.5
                                -

                                -

                                Inclusiveness

                                -

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                -

                                -
                                ",,https://jobs.td.com/en-CA/jobs/17498220/modelling-forecasting-senior-analyst-quants-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-02T17:29:05.455Z,False,0,2,12,https://talenthub.vectorinstitute.ai/jobs/189569804-modelling-forecasting-senior-analyst-quants-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17498220/modelling-forecasting-senior-analyst-quants-toronto-ca/,expired,2023-01-23T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -d77175be-bbdc-4938-938c-06bf7169cd97,189567849,Google,"Technical Sales Specialist, Infrastructure Modernization, Google Cloud",on_site,"Toronto, ON, Canada",2023-01-23T17:20:03.022Z,"
                                -
                                -2022-12-15T22:30:57.429Z
                                -
                                  -
                                • Share
                                • -
                                  Save -
                                • -

                                Technical Sales Specialist, Infrastructure Modernization, Google Cloud

                                  -
                                • Google
                                • -
                                • In-office:
                                  - Toronto, ON, Canada -
                                • -
                                -
                                -

                                Qualifications

                                -

                                Minimum qualifications:

                                -
                                  -
                                • Bachelor’s degree or equivalent practical experience.
                                • -
                                • 6 years of experience in virtualization or cloud native architectures in a customer-facing or support role.
                                • -
                                • Experience in performing technical presentations or public speaking.
                                • -
                                • Experience with workload migrations, analyzing factors such as scalability, disaster recovery, and high availability.
                                • -
                                -

                                Preferred qualifications:

                                -
                                  -
                                • Master\'s degree in Computer Science or a related field.
                                  -
                                • -
                                • Experience with legacy and modern application development, cloud service delivery, and deployment.
                                  -
                                • -
                                • Experience with application development technologies, architecting, and developing software or infrastructure for scalable and secure distributed systems.
                                  -
                                • -
                                • Experience with Relational Databases, NoSQL Databases, Big Data technologies, and containers.
                                  -
                                • -
                                • Understanding of IaaS, PaaS, FaaS (XaaS).
                                  -
                                • -
                                -
                                -
                                -
                                -

                                About the job

                                -

                                The Google Cloud Platform team helps customers transform and build what\'s next for their business — all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

                                -

                                As a Technical Specialist, you will work with the Sales team to introduce Google Cloud to our customers. You will help prospective, existing customers, and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, and problem-solve any potential technical roadblocks.

                                -

                                Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

                                -
                                -
                                -
                                -

                                Responsibilities

                                  -
                                • Work to identify and qualify business opportunities, identify key customer technical objections, and develop a strategy to resolve technical blockers.
                                • -
                                • Manage technical relationships with Google’s customers, including managing product and solution briefings, proof-of-concept work, and the coordination of additional technical resources.
                                • -
                                • Work with customers to demonstrate and prototype Google Cloud product integrations, guide customers through assessments of their existing legacy application environments, provide recommendations on a prioritization roadmap for application modernization, and identify applications for migration to hybrid-cloud computing models.
                                • -
                                • Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution using best practices on Google Cloud.
                                • -
                                • Travel to customer sites, conferences, and other related events.
                                • -
                                -
                                -

                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                                At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                                -
                                -
                                -
                                ",,"https://careers.google.com/jobs/results/78444987743642310-technical-sales-specialist-infrastructure-modernization-google-cloud/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-02-02T17:25:02.034Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/189567849-technical-sales-specialist-infrastructure-modernization-google-cloud-at-google,,expired,2023-01-23T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, -330bdd1c-afa2-4b62-b35b-d627f7186e3c,191127598,TD Bank Group,Senior Business Insights Analyst,on_site,"Toronto, ON",2023-01-30T17:24:05.939Z,"
                                -

                                Company Overview

                                -
                                -

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                -

                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                -
                                -

                                -

                                Department Overview

                                -

                                TD’s Corporate Defense Group (CDG) is seeking a Senior Business Insights Analyst to join their Data, Analytics and Reporting (DAR) team. This senior analyst will be instrumental in delivering analytic products to the internal clients we serve: Fraud Risk Management, Global Security & Investigations (GSI), Global Privacy and Enterprise Insider Risk Program (EIRP). The teams supported represent unique businesses that span both 1st and 2nd line responsibilities within the 3 Lines of Defense model of risk management and have immense synergies and an overall united goal of protecting the bank. The ideal candidate will be able to bridge the gap between fraud risk management and analytical expertise.

                                -

                                -

                                Job Description

                                -
                                -

                                This individual will primarily support the IM program, along with broader CDG DAR initiatives in an auxiliary capacity. Mainly responsible for identifying and escalating enterprise-wide findings to stakeholders and various risk committees by using a variety of analytics tools to detect and prevent internal and external fraudulent activity. And coordinate with business partners (Internal Audit, Compliance, Operational Risk Management, FRM, etc) to monitor fraud risk through data analysis and visual reporting. Ensure compliance with established fraud risk policies and procedures required by regulators, supporting comprehensive fraud risk management frameworks in the US and Canada.

                                -

                                Key Responsibilities:

                                -
                                  -
                                • Desire and tenacity to learn new skills and adapt to new challenges that have a steep learning curve, and are a self-starter that pro-actively tackles problems and deliver end to end data products independently
                                • -
                                • Proactively assists in the oversight of a Fraud Risk Management Issues Management Program to provide “value-added” insights in the form of analysis, interpretation of emerging and/or changing fraud risk and related control opportunities and enhancements
                                • -
                                • Conduct analysis by applying statistical methods, and effectively communicate results through illustrative visualizations to our stakeholders and senior management
                                • -
                                • Validate the quality and integrity of the data being analyzed and reported
                                • -
                                • Collaborates with business stakeholders, control and governance partners to support Data management efforts and maintain detailed documentation
                                • -
                                -
                                -

                                -

                                Requirements

                                -
                                  -
                                • Undergraduate or graduate degree in quantitative discipline such as management analytics, computer engineering, computer science, mathematics, physics, economics
                                • -
                                • 3-5 years relevant working experience with preferred understanding of fraud, risk assessment, and/or other risk management processes to identify and monitor fraud risks within the organization and providing oversight and appropriate resolution to the business.
                                • -
                                • Experience and knowledge with industry data tools, including Tableau, Python, SQL, and/or Cloud experience.
                                • -
                                • Excel and PowerPoint – Strong proficiency with Excel and the ability to draft storyboards and execute narratives in PPT common in advisory or consultancy roles is also valued
                                • -
                                -

                                -

                                Additional Information

                                -
                                Successful candidates will be asked to complete a small case study over the period of a few days.
                                Feel free to attach professional or personal work that showcase your abilities.
                                -

                                -

                                Hours

                                -
                                37.5
                                -

                                -

                                Inclusiveness

                                -

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                -

                                -
                                ",,https://jobs.td.com/en-CA/jobs/17667219/senior-business-insights-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-02T17:29:05.455Z,False,0,2,3,https://talenthub.vectorinstitute.ai/jobs/191127598-senior-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17667219/senior-business-insights-analyst-toronto-ca/,expired,2023-01-30T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -51cc0365-dcc1-46a8-ac01-af84bd3dcb69,189569808,TD Bank Group,"Senior Analyst, Campaign Analyst",on_site,"Toronto, ON",2023-01-23T17:24:02.622Z,"
                                -

                                Company Overview

                                -
                                -

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                -

                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                -
                                -

                                -

                                Department Overview

                                -
                                -

                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and this includes our vast data.

                                -

                                The Business Intelligence group delves into our data, past and present, to develop crucial metrics and reporting functionality that better informs and optimizes key businesses decisions across the organization.

                                -

                                This is the team building the tools, reports, dashboards, cubes and scorecards that deliver and process vital data to business partners across the enterprise.

                                -

                                Joining us in Business Intelligence & Reporting is an opportunity to advance and deepen your career and to help TD serve its customers in a way we never have before.

                                -
                                -

                                -

                                Job Description

                                -
                                -

                                The Data & Analytics function within Marketing is a central source of internal and external consumer insights and data analytics which supports both corporate and business unit strategies for TD Bank Financial Group Canada and TD Bank, America’s Most Convenient Bank.

                                -

                                The D&A team mission is to be influential change agents and consumer advocates to help deliver the better bank and to drive shareholder return through optimizing the impact of marketing. We do this by delivering hindsight (what happened), insight (why), and foresight (future actions) on how to best reach consumers, who to target, what to say, and build intelligence on the market and competitive landscape. The group seeks to deliver excellence in analytics and insights to support short-term business success as well as long-term strategy of the bank.

                                -

                                The D&A team brings together a diverse range of technical and business expertise including market research, business analytics, data science and modelling, business intelligence, data strategy and governance, data management, campaign targeting and delivery, and visualization.

                                -

                                Job Description
                                The successful candidate will be responsible for campaign analytics supporting the growing needs of the Personal Lending team within the broader Marketing Analytics Delivery group.

                                -

                                Your goal as a part of the Marketing Analytics Delivery team is to design and execute campaigns to drive acquisition, customer management, loyalty, and engagement across personal and business banking products. Success in this role will be achieved by:

                                -

                                1. Translating key business objectives into insight rich experiments that drive marketing ROI
                                2. Ensuring execution (i.e., list creation) is done efficiently and with excellence
                                3. Designing campaign results can be actioned by providing high value campaign reporting
                                4. Work in a consultative role to provide “value-added” insights in the form of analysis and advice of campaign reporting

                                -

                                Your success will be predicated on your ability to forge strong partnerships, communicate effectively, deliver on-time, and continuously strive for increased efficiency.

                                -

                                Responsibilities

                                -
                                  -
                                • Design / execute / measure high impact direct to consumer marketing experiments
                                • -
                                • Continuously improve campaign design and delivery by leveraging analytical tools/techniques at your disposal
                                • -
                                • Execute with excellence and look for opportunities to automate and simplify tasks
                                • -
                                • Manage your project pipeline to ensure agreed upon timelines can be met
                                • -
                                • Proactively provide analytical guidance to key stakeholders, based on deep understanding of the businesses, to understand and enhance marketing ROI
                                • -
                                • Maintain a culture of risk management and control, supported by effective processes and sound infrastructure
                                • -
                                • Good communication skills with the ability to clearly summarize and share insights and foster partner relationship
                                • +

                                  At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

                                  +

                                  +

                                  The opportunity

                                  +


                                  Joining EY’s DnA team in this exciting period of growth will offer a huge variety of opportunity to make a tangible impact to our clients businesses and to your career. We provide constant room for growth through client engagements and personal development. Our practitioners develop and lead innovative data techniques and methods, supporting both business and technology leaders. This role provides the unique opportunity to build a professional network, tackle complex data issues, and drive cutting edge approaches across industry leading clients and domains. The experiences you gain here will be more valuable than anywhere else.

                                  +

                                  +

                                  We are currently seeking management consultants with experience in the various data management related capabilities - including data governance, data operating model, data strategy, etc.- to lead and implement leading-edge data management and strategy projects.

                                  Your Key Responsibilities

                                  +
                                  • Help our clients establish Data Management and Governance programs and drive data ownership into the client businesses
                                  • Perform Data Management and Governance reviews, Data Maturity assessments
                                  • Assist with implementation of the Data Management and Governance programs within the client organization
                                  • Conduct current state assessments, evaluate assessment results, and present findings in a logical and easy-to-understand manner
                                  • Assist with data architecture reviews and advise on data solutions that pertain to Data Governance programs (Data Catalogue, Data Quality, Business Glossary, data tools/software, metadata management, master data management, Lineage)
                                  -
                                -

                                -

                                Requirements

                                -
                                -

                                Skill Sets

                                -
                                  -
                                • Familiarity with direct marketing principles (Predictive Models, Experiment Design, A/B testing, Sample Size calculations, Net Performance Measurements, etc.)
                                • -
                                • Technical and detail oriented
                                • -
                                • Knowledge of how campaigns are created by leveraging customer data from internal data warehouses through the use of programming tools such as SAS
                                • -
                                • A project management mindset to help deliver on time to specifications
                                • -
                                • Team player while able to work independently
                                • -
                                • Pragmatic decision maker blending a mix of intellect, experience and street smarts
                                • -
                                • A profit driven mindset
                                • +

                                  +

                                  To qualify for the role, you must have

                                  +
                                  • 2+ years of experience in and understanding of concepts and frameworks pertaining to Data Management- Data Governance, Data Policy, Data Lineage, Data Models, Data Quality, Data Risk and Control Frameworks, Data Literacy, Reference Data Management, Metadata Management
                                  • Experience working within Financial Services Industry in a data management related role
                                  • Experience within data management and governance. Possess knowledge of frameworks, standards and regulatory requirements related to Data Governance, Data Management - BCBS239, CCAR, etc.
                                  • Worked with or have an understating of EDM Council DCAM assessment or an alternative data maturity assessment; be certified in EDM Council DCAM Assessment
                                  • Experience with data management tools such as Collibra, Informatica, Ataccama, etc.
                                  • Advanced problem-solving skills, superior communication (verbal and written)
                                  • Experience working independently, efficiently, and effectively under tight timelines and delivering results by critical deadlines.
                                  • Experience with client-facing activities requirements gathering, presentation creation, and ability to prepare client ready deliverables
                                  • Experience of Agile and traditional SDLC delivery methodologies Strong analytical and problem-solving skills
                                  -

                                  Qualifications

                                  -
                                    -
                                  • 4+ years of relevant experience in a direct marketing, consulting, analytics, or agency-side role in financial services/telecom (or other high volume direct marketing industries)
                                  • -
                                  • Significant experience with IBM Campaign (Unica) an asset
                                  • -
                                  • Knowledge of SQL and SAS; knowledge of databases and data structures; knowledge of vendors and file format requirements
                                  • -
                                  • Knowledge of Python, Azure, Databricks, Hadoop
                                  • -
                                  • Experience designing successful direct marketing experiments
                                  • -
                                  • Degree in business, science, statistics, engineering, or other quantitative discipline
                                  • -
                                  • Track record of delivering successful initiatives on time and on budget
                                  • +

                                    +

                                    Ideally, you’ll also have

                                    +
                                    • Prior consulting experience preferred
                                    • Project management and process development expertise in client serving rolesStrong organizational and time-management skills
                                    -
                                    -
                                -

                                -

                                Hours

                                -
                                37.5
                                -

                                -

                                Inclusiveness

                                -

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                -

                                -
                                ",,https://jobs.td.com/en-CA/jobs/17645262/senior-analyst-campaign-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-02T17:29:05.455Z,False,0,2,5,https://talenthub.vectorinstitute.ai/jobs/189569808-senior-analyst-campaign-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17645262/senior-analyst-campaign-analyst-toronto-ca/,expired,2023-01-23T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -d7e521a7-b924-4c3b-8f3b-f67703ce825d,189568980,Scotiabank,Manager Credit Risk Provisions and Analytics - Contract,on_site,Canada : Ontario : Toronto,2023-01-23T17:22:03.213Z,"

                                -

                                -

                                -

                                -

                                Requisition ID: 169609

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                -

                                Purpose:

                                -


                                Contributes to the overall success of the Credit Risk Provisions and Analytics / GRM globally, ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives.

                                -

                                The Manager takes initiatives to evaluate and improve the Current Expected Credit Loss (CECL) methodology for the Bank’s US subsidiaries, contributes to CECL implementation and provide insights and analytics to senior executives, business lines, and business units.

                                -

                                -

                                Accountabilities:

                                -
                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                • Works closely with key stakeholders in developing the CECL end-to-end process, which includes project planning, data reconciliation, model implementation, control process, governance and reporting.
                                • Contributes to quarterly CECL measurement, analytics, and reporting.
                                • Provides support in preparing CECL and IFRS 9 reports to senior management and to the relevant business units; as well as providing analytics on the underlying data.
                                • Ensures CECL documentation is up-to-date and in compliance with Model Validation and Audit guidelines.
                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                • Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
                                • Champions a high-performance environment and contributes to an inclusive work environment.
                                • +

                                  +

                                  Skills and attributes for success

                                  +
                                  • Be self-motivated and passionate about data management and governance
                                  • Ability to meet deadlines and manage project delivery
                                  • Superior communication and interpersonal skills
                                  -


                                  Education / Experience / Other Information:

                                  -
                                  • Strong verbal and written communication skills and proven problem-solving skills.
                                  • Good organizational and analytical skills.
                                  • Experience in Python, SQL and statistical modelling.
                                  • Comfort and experience working in a project context and juggling multiple competing priorities
                                  • Critical thinking skills and ability to work under tight timelines.
                                  • Bachelor / Master’s in Accounting, Business, Finance, Economics, Mathematics, Engineering or Statistics.
                                  • Professional qualification such as CPA / CMA/ CGA / CFA is an added advantage.
                                  • +

                                    +

                                    What we offer

                                    +

                                    +

                                    At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

                                    +

                                    We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

                                    +
                                    • Support and coaching from some of the most engaging colleagues in the industry
                                    • Learning opportunities to develop new skills and progress your career
                                    • The freedom and flexibility to handle your role in a way that’s right for you
                                    -

                                    -

                                    Location(s): Canada : Ontario : Toronto

                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Manager-Credit-Risk-Provisions-and-Analytics-Contract-ON-M5H1H1/566058017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-02T17:27:05.731Z,False,0,2,3,https://talenthub.vectorinstitute.ai/jobs/189568980-manager-credit-risk-provisions-and-analytics-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager-Credit-Risk-Provisions-and-Analytics-Contract-ON-M5H1H1/566058017/,expired,2023-01-23T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -e0797f95-c066-48f4-bb0a-36b2b7e11342,190516924,CIBC,"Senior Data Scientist, Optimization & Decision Science- 12 Month Secondment/ Contract",on_site,"Ontario, Canada",2023-01-27T17:06:03.396Z,"
                                +

                                +

                                Diversity and Inclusion at EY

                                +

                                +

                                Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. From our actions to combat systemic racism and our advocacy for the LGBT+ community to our innovative Neurodiversity Centre of Excellence and Accessibility initiatives, we welcome and embrace the diverse experiences, abilities, backgrounds and perspectives that make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                                +

                                EY Way of Work and your health and safety

                                +

                                +

                                EY Way of Work recognizes flexibility in the way we collaborate, innovate and deliver with the ability to work in-person and remotely. To support a healthy and safe in-person working environment, EY has implemented various layers of health and safety controls while working in the office or at client or other locations. A critical component of EY’s workplace safety program includes our COVID-19 vaccination policy which requires all personnel to be fully vaccinated against COVID-19 unless an accommodation based on a reason protected by human rights legislation is provided.

                                +

                                +

                                EY | Building a better working world

                                +

                                +

                                EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

                                +

                                +

                                Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

                                +

                                +

                                Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

                                ",,https://careers.ey.com/ey/job/Toronto-Senior-%28Data-Management%29-ON-M5H-0B3/746746801/,feed-importer@jobboard.io,,,,2022-10-24T16:58:00.000Z,False,0,1,16,https://talenthub.vectorinstitute.ai/jobs/153858718-senior-data-management-at-ey,https://careers.ey.com/ey/job/Toronto-Senior-%28Data-Management%29-ON-M5H-0B3/746746801/,expired,2022-09-29T04:44:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Associate,Masters Degree,New Posting, +3297112d-6cb2-4fc8-8c57-b5fe2907db82,167437788,CIBC,Sr. Data Engineer,on_site,"Toronto, ON, Canada",2022-11-15T17:06:03.295Z,"

                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                @@ -337126,43 +344673,33 @@ e0797f95-c066-48f4-bb0a-36b2b7e11342,190516924,CIBC,"Senior Data Scientist, Opti

                                Job Description

                                What You’ll Be Doing

                                -

                                The Analytics & Decision Science team is a central hub of analytics expertise within CIBC, and is leading the way in applying the best practices in predictive science, machine learning, leveraging massive datasets and the latest in big data technology platforms. As a Senior Data Scientist you will apply your knowledge and experience of data modelling to solve challenging business problems and bringing innovative solutions. You’ll interact with groups across the organization from products, segments, marketing to channels, risk and capital markets. You’ll work with real world structured and unstructured datasets to produce end-to-end solutions, taking models from experiment to deployment. We collaborate with the most exciting new companies in the space of AI and machine learning, and engage in collaborations with leading academic researchers to promote the exchange of ideas and enrich our talent.

                                -

                                At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview

                                +

                                You’ll be joining CIBC’s Private Wealth Management (PWM) Technology group within Wealth Management and will be an integral part of CIBC’s technology transformation. As the Senior Consultant, Application Development, you will be reporting to a Director. Working closely to act as the technical subject matter expert with oversight and accountability for Business Analysis, Development and QA for the Data Analytics & Reporting applications and services supporting the Private Wealth Management business group. With a strong focus on technology strategy, delivery approaches and business acumen, you’ll be providing subject matter expertise to Azure Cloud Engineering initiatives as they relate to the design, implementation and support of major public cloud technologies and automation tooling in a multi-platform environment. Deliver transformational changes at an Organizational level through processes and workflows. delivering technology changes and supporting requirements that align with both the Private Wealth Management line of business and the Wealth Management Technology (WMT) mandates.

                                How You’ll Succeed

                                  -
                                • -Data Science Expertise: Provide advanced analytics solutions to solve business problem leveraging traditional statistical, machine learning and optimization techniques. Ability to conduct self-directed research, typically using non-traditional resources to solve business problems.
                                • -
                                • -Business Consulting: Conduct business problem assessment independently. Gather relevant information related to business processes, functions and operations to evaluate data credibility and quality. Utilize creative thinking to modify or select the most suitable procedure/approach to solve a business problem. Perform in-depth analysis for the purpose of identifying revenue generating and cost saving opportunities, developing proposals and make recommendations for model usage to the downstream partners.
                                • -
                                • -Market Relevancy: Participate in an analytics community whose goal is to foster and share analytic approaches across the enterprise. Liaise with internal and external sources, colleagues, and others to obtain, provide, verify and discuss information and best practices. Passionate innovators, creators, collaborators, and leaders who are up for the challenge of building the bank of the future and delivering solutions that meet our clients’ changing needs
                                • +
                                • Leadership & Communication – Collaborate with senior leaders across the company and make informed recommendations to enhance cloud related solutions. Weigh business needs against technology offerings, security concerns and provide recommendations to improve the user experience, which are practical and achievable.

                                • +
                                • Governance – Proactively contribute to governance initiatives in the development of company policies, audit requirements etc. Provide technical or business guidance to clients within and outside your own department.

                                • +
                                • Engineering / Development – Lead evaluation, selection and implementation of new and emerging products and techniques; support the development of business/technology proposals by evaluating implementation options. Provide automation expertise within core automation DevOPS tool chain and orchestration expertise in Public cloud, preferably with experience in Azure DevOps, Autosys and all aspects of Azure Network configuration through code, and familiarity with tools such as Git, JIRA, Confluence. Your understanding of Microsoft\'s Azure, Azure ARM Templating, Azure DevOps Pipeline implementation and other analytics and reporting components of Azure will be key to your success.

                                • +
                                • People Leadership – Lead and coach a team of Business Systems Analysts, Application Developers, and Application Support Specialists building on existing individual capabilities and bringing new talent into the team to meet business and technology objectives. Develop your team, maximizing their contributions, encourage out of the box thinking and professional growth. Create a positive work environment through being an effective role model and by championing CIBC’s mission, vision and values, ensuring compliance with policies, standards, guidelines and controls, applying policies fairly and consistently so employees understand what to expect. Manage performance by providing fair and accurate formal and informal feedback, identifying and removing obstacles to performance and by explaining how performance expectations align with business priorities.

                                • +
                                • Relationship Management – Work closely with clients and business partners to develop, test, plan and implement application enhancements. Become familiar for all CIBC enterprise development practices, standards and governance controls for other CIBC groups and technology vendors. Advise on emerging technical trends in the industry and at CIBC, and ensure application services best practices reflect appropriate technological developments for a competitive business position. Collaborate and support the other PWM Technology teams in the delivery of technology modernization that address the strategic and operational business partner agenda and the CIBC technology strategy. Analyze technical risk to support business recommendations and make adjustments to internal operations as necessary to improve performance of the Application Delivery and support teams.

                                Who You Are

                                  -
                                • -You can demonstrate experience in working with large datasets including both structured and unstructured data and related tools (e.g., SQL, Hive, Spark). Must have experience coding in high level programming languages such as Python, SAS or R. Must have experience coding with data modelling packages such as SAS Enterprise Miner, NumPy, Pandas, SciPy, Scikit-Learn, Keras or PyTorch.
                                • -
                                • -You’re a certified professional. You have current accreditation and good standing in Master or PhD in Computer Science, Engineering, Mathematics, Statistics, Operational Research, Physics, Economics or related quantitative field.
                                • -
                                • -You\'re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
                                • -
                                • -You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do.
                                • -
                                • -You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.
                                • -
                                • -Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.
                                • -
                                -

                                -

                                What CIBC Offers

                                -

                                -

                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                -
                                  -
                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.
                                • -
                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
                                • -
                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.
                                • +
                                • You can demonstrate experience with: 5+ years\' experience as a Data engineer, preferably in Azure Databricks.

                                • +
                                • You are a skilled Data Engineer to lead the development of our new data analytics platform.

                                • +
                                • Able to write clean/scalable/secure code and need a good understanding of Azure and Databricks. We work heavily in Azure and need this person to have a good grasp of modern Azure Tools like Databricks and DataFactory to build orchestration pipelines.You have led the creation of a data strategy and associated roadmap and led execution across multiple technologies and projects.

                                • +
                                • Experience in most of the following: Writing clean/scalable code and working with Databricks, Using Azure Data Factory to build orchestration pipelines, Working with Azure DevOps and CI/CD pipelines, Pyspark, Python, SQL, Power BI, Data Lake.

                                • +
                                • You will utilize your breadth of knowledge to identify opportunities to optimize, modernize, retire or consolidate a large number of applications spanning numerous technologies.

                                • +
                                • You are a seasoned people leader with the ability to coach and help develop other team members.

                                • +
                                • You have a solid understanding of: Managing vendor applications, roadmaps, testing, and implementation. Designing and implementing applications for cloud. Strong knowledge of Agile methodology and experience working in a Scrum team.

                                • +
                                • It’s an Asset if: You have good understanding of the Wealth Management business and have worked in a capacity supporting the business.

                                • +
                                • You have a degree/diploma in: Computer Science, Engineering, and/or a related field.

                                • +
                                • Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.

                                • +
                                • You embrace and champion change: You’ll continuously evolve your thinking and the way you work in order to deliver your best. You empower and enable your team to make continuous improvement, go above and beyond, and deliver results.

                                • +
                                • You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of a team that enjoys working together to create a shared vision.

                                • +
                                • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                                What you need to know

                                @@ -337175,450 +344712,389 @@ e0797f95-c066-48f4-bb0a-36b2b7e11342,190516924,CIBC,"Senior Data Scientist, Opti

                                -

                                Job Location

                                Toronto-81 Bay, 25th Floor

                                Employment Type

                                Temporary (Fixed Term)

                                +

                                Job Location

                                Toronto-81 Bay, 12th Floor

                                Employment Type

                                Regular

                                Weekly Hours

                                37.5

                                Skills

                                -

                                Advanced Analytics, Analytical Thinking, Big Data, Big Data Technologies, Business Problems, Business Processes, Data Science, Datasets, Decision Sciences, Innovation, Machine Learning, Operations Research, Python (Programming Language), Statistics
                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Data-Scientist--Optimization---Decision-Science_2243008?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-02-02T17:11:05.794Z,False,0,8,25,https://talenthub.vectorinstitute.ai/jobs/190516924-senior-data-scientist-optimization-decision-science-12-month-secondment-contract-at-cibc,,expired,2023-01-27T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -16981557-7f97-449f-b94f-0e9affe4a862,189570211,Magna International,Data Scientist,on_site,"AURORA, ONTARIO, CA, L4G 3M7",2023-01-23T17:39:06.873Z,"
                                -
                                -

                                Job Introduction

                                -

                                The Data Scientist will be a key member of the R&D team and will solve data-related challenges in manufacturing operations. In this role, you will collaborate with individuals and groups within and outside Magna, while maintaining responsibility for acting independently on technical matters pertaining to the designated subject area. You have a strong sense of curiosity, along with an open mindset. Challenging the status quo, you continuously strive to learn and reach for new and innovative ideas. We encourage all individuals with an inventive mind who enjoy working with others to apply, we’d love to hear from you.

                                -
                                -
                                -

                                Major Responsibilities

                                -
                                • Contribute to and engage in a working environment aimed at partnering with the product groups and divisions to leverage the process innovations to the targeted scale.
                                • Contribute relevant analytical findings to the technical discussion with the product groups to prepare the process for total cost reduction, as it pertains to Factory of the Future.
                                • Support the ideation process from a data perspective to identify gaps and opportunities in manufacturing processes, building blocks, and technologies to develop economical and scalable solutions.
                                • Derive and show optimization potentials for given applications based on data analysis, utilizing state of the art and cutting-edge mathematical methods (AI).
                                • Deploy machine learning methods to simplify / substitute repeating tasks.
                                • Develop proof of concepts (POC) based on AI methods for closed loop control in production (e.g. Vision-based decision making, reinforcement learning approaches for controls, etc.).
                                • Interpret results and communicate to technical and non-technical audiences, cross-functional teams, and executive leadership.
                                • Support, plan, and execute ML and AI initiatives. Manage and facilitate initial small-scale implementation. Support broad deployment and adoption within the organization.
                                • Develop, maintain, and document the source code for all developments.
                                • Leverage internal and external expertise as required.
                                • Regularly interface with senior management to provide project updates.
                                • Occasionally responsible to hire, lead, supervise, and evaluate indirect hires, such as summer students.
                                • -
                                -
                                -
                                -

                                Knowledge and Education

                                -
                                • Master’s Degree in Mathematics, Statistics, Computer Science, Physics, or a closely related education with 2+ years of experience in industry.
                                • PhD preferred.
                                • Excellent mathematical knowledge in the field of statistics.
                                • Deep knowledge of Python and data analysis relevant libraries.
                                • SW development knowledge with detailed understanding of SW deployment processes is desired.
                                • Knowledge of network technologies and protocols (e.g. MQTT).
                                • -
                                -
                                -
                                -

                                Work Experience

                                -
                                • Demonstrated experience with a wide variety of ML and AI techniques and algorithms.
                                • Demonstrated experience with Python, SQL, and other related tools and toolchains to be able to oversee, direct, and manage projects in the field.
                                • Experience with virtualization (e.g. PowerBI, Grafana) and deployment tools (e.g. Docker).
                                • Experience with manufacturing related data analytics is preferred.
                                • -
                                -
                                -
                                -

                                Skills and Competencies

                                -
                                • Very good knowledge of English language is required, knowledge of German language is advantageous.
                                • Open mindset and eager to learn.
                                • “Challenge the status-quo” mentality.
                                • Team player with an analytical personality and strong communication skills.
                                • Willingness to ask questions and build networks/relationships with other departments/groups.
                                • -
                                -
                                -
                                -

                                Work Environment

                                -
                                • While performing the duties of this job, the employee is regularly required to talk and hear, and use hands to finger, handle, and feel. The employee is required to reach with hands and arms and have adequate mobility to stand, walk, sit, stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to fifty (50) pounds. Specific vision abilities required by this job include close vision and ability to adjust focus.
                                • Responsible for working in compliance with the provisions of the Health and Safety Act, as well as any rules or standards otherwise specified by OSHA, MIOSHA, or any other government regulations. Expected to exercise caution in all work activities and report any unsafe conditions, injuries, or near misses to the appropriate supervisor.
                                • Travel up to 25% - domestic and international may be required.
                                • -
                                -
                                -
                                -

                                Awareness. Unity. Empowerment.

                                -
                                -

                                At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                                -

                                -

                                #LI-Hybrid

                                -
                                -
                                -
                                ",,https://jobs.magna.com/job/AURORA-Data-Scientist-ONTA-L4G-3M7/564241617/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-02-02T17:44:01.841Z,False,0,15,53,https://talenthub.vectorinstitute.ai/jobs/189570211-data-scientist-at-magna-international,https://jobs.magna.com/job/AURORA-Data-Scientist-ONTA-L4G-3M7/564241617/,expired,2023-01-23T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Manufacturing ,Associate,Masters Degree,New Posting, -1ec70bc1-d4bb-47f4-a308-d49c1f7775fc,190519204,Clearpath,Software Test Co-op,on_site,"Ontario, Canada",2023-01-27T17:42:03.392Z,"

                                Description

                                -

                                Position: Software Test Co-op
                                Location: Kitchener, Ontario
                                Student Level: Junior/Intermediate
                                Education: Software Engineering

                                -

                                About Clearpath Robotics Inc.

                                -

                                Clearpath Robotics Inc. develops the future of robotics technology through development and sale of industry-leading self-driving technology, products, and services to over 500 of the world’s most innovative brands. Proprietary hardware, software, and services are delivered through the company’s research and industrial divisions: Clearpath Robotics and OTTO™ Motors. Clearpath Robotics Inc. is an award-winning company with recent awards including Robotics Business Review Top 50 Robotics Company, Edison Award for Innovation, Business Insider Top 40 under 40, and Canada’s Top 100 Employers.

                                -

                                About OTTO™ Motors

                                -

                                OTTO™ Motors is making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self-driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit www.ottomotors.com

                                -

                                About the Job:

                                -

                                We believe in providing our clients with complete solutions revolutionizing manufacture and warehousing. Clearpath provides system software that allows its customers to direct and monitor their fleet of robots without having to worry about the details.

                                -

                                You will be working in a team responsible for testing Clearpath\'s fleet management and related system software. Your goal is to help build a system of robust and efficient software tests that will enable our Fleet Manager to operate at a high level of reliability for years in the field.

                                -

                                Job Responsibilities:

                                -

                                You will assist in the testing, troubleshooting, and quality assurance of the fleet manager software system, working closely with other members of the test, continuous integration & Fleet software development teams.

                                -

                                Additional tasks may include:

                                - Test plan development and implementation
                                - Executing tests for full system, component, simulation and performance.
                                - Documenting test results.
                                - Capturing issues and artifacts, establishing a strong feedback loop back into development.
                                - Extending test frameworks.
                                - Supporting continuous integration, internal tools, and infrastructure.

                                -

                                Required Skills:

                                - Practical software development and test skills.
                                - Team player, good communicator.
                                - Experience with Python.
                                - Exposure to Linux and version control (Git).
                                - Exposure to web testing frameworks (Cypress, Selenium).
                                - Exposure to HTTP REST API\'s.

                                -

                                Bonus Point for:

                                - System-level testing, and continuous integration.
                                - ROS exposure.
                                - Familiar with scripting e.g. bash.

                                -

                                At Clearpath, we are committed to building and supporting a culture of diversity, inclusion, and accessibility. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, veteran status, sex, sexual orientation, gender identity, and expression. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                                ",,http://jobs.jobvite.com/clearpath/job/obZ4lfwj,feed-importer@jobboard.io,,,,2023-02-02T17:47:04.254Z,False,0,3,12,https://talenthub.vectorinstitute.ai/jobs/190519204-software-test-co-op-at-clearpath,,expired,2023-01-27T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Manufacturing ,Internship/Co-op,Bachelors Degree,New Posting, -3dab2ab4-7a8f-4753-b4bd-ccd8de1336e4,179960297,Scotiabank,"Manager, Change Management - CID&A",on_site,Canada : Ontario : Toronto,2022-12-22T17:22:04.323Z,"

                                -

                                -

                                -

                                -

                                Requisition ID: 169910

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                -

                                Purpose:

                                -

                                -

                                The Manager, Change and Integration, is responsible for delivering transformation activities for data and analytics across the enterprise. This mandate includes providing expertise to plan and execute the change interventions and strategies to ensure the executives, people managers, and employees at all levels adopt changes introduced through data and analytics programs, projects and initiatives to advance the Bank’s objectives. The incumbent is accountable for focusing on the people side of change and integration – including changes to processes, communications infrastructure, culture and standards – that maximize employee adoption and engagement and minimize resistance. This individual manages workstreams in training, communication, culture management, and stakeholder engagement across data and analytics. They will be responsible for the strategic execution to drive increased business usage of data & analytics across the organization.

                                -


                                The incumbent works to streamline change management activities and integrate interactions across data and analytics teams to drive faster adoption, higher utilization and greater benefits realization of data and analytics outputs in the Bank. In fulfilling the role, the incumbent interacts closely with cross functional working groups from both business and technical sides to support realization of the Bank’s Data and Analytics strategy.

                                -

                                -

                                Specifically, the individual will be responsible for:

                                -


                                • Organizing regular stakeholder engagements and working closely with teams to plan and execute key workstreams of the data & analytics culture change strategy and review results related to adoption of standards, processes and tools
                                • Implementing strategic communication and integration efforts for data & analytics to articulate its value and help businesses across the enterprise be data-driven (e.g., utilize more data & analytics in business decisions and become more self-sufficient)
                                • Collaborating with key stakeholders to deliver data & analytics upskilling opportunities across the global enterprise to raise its knowledge and maturity; Elevating the employee experience through departmental onboarding and development programs
                                • Contributing to the creative development and execution of high impact, engaging campaigns and content including: supporting internal communications for initiatives; assisting with editorial calendars and content rollouts; organizing events, developing written materials, multimedia and graphics in support of communications strategies

                                -

                                Accountabilities:

                                -



                                • Execute on key workstreams of the change roadmap for Customer Insights, Data & Analytics (CID&A), outlining business development plan and initiatives to raise data & analytics awareness, literacy, and usage
                                • Collaborate with the change management team for CID&A, leading and developing communications, training, brand awareness and requisite corporate culture change to drive adoption of data and analytics capabilities.
                                • Develop standard and reusable materials that can be leveraged by the CID&A, business lines, and corporate function partners, ensuring messaging and branding is consistent and aligned across data and analysis work streams and functions
                                • Deepen relationships with stakeholders across the enterprise to gain support of data & advanced analytics and build out a network of professionals to solve unique business problems
                                • Support the management of the enterprise Data, Analytics, and AI Community of Practice, equipping business lines and practitioners with the tools and information required to act as effective change agents across the bank
                                • Work closely with the broad Data Office team to execute creative work and strategies that will help achieve objectives such as enhancing the culture around the Bank’s data, increasing awareness, improving data capability understanding and value, and engaging business lines and corporate functions.
                                • Support organization of CID&A events such as townhalls, workshops, summits, etc., as required
                                • Coordinate partnerships (e.g. academia, industry vendors) to enhance data and analytics brand and talent, as required


                                Requirements & Qualifications:

                                -



                                • 3-8 years of work experience in Strategy, Change Management, Data & Analytics, Technology, Innovation, and Business Communication
                                • Demonstrated experience implementing Change Management and adoption strategies in an agile environment; Good understanding of culture change
                                • Experience in developing executive-friendly presentations and dashboards
                                • Strong communication skills with ability to present and influence diverse stakeholders; Spanish is desirable but not required
                                • Knowledge in communication best practices and approaches, as well as an innate ability to ‘connect the dots’ on seemingly remote thoughts or messages
                                • Effective execution skills to ensure the successful delivery/implementation of the change management strategy; Experience in project delivery and support
                                • Drive to succeed with bias towards action and ability to navigate large organizations and build collaborative relationships; Proven ability to engage and manage stakeholders in a complex, matrixed environment
                                • Strong curiousity to learn with adaptive and creative mindset
                                • Working knowledge of data and analytics technologies (big data tools, cloud/GCP, Hadoop, APIs, etc) and services (AI / Machine Learning, NLP, blockchain, chatbots, DevOps, agile delivery, etc) is an strong asset
                                • A Master’s degree in Business Administration, or Analytics and AI Management is an asset

                                -

                                -

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Change-Management-CID&A-ON-M5H1H1/566163917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-04T15:01:55.364Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/179960297-manager-change-management-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Change-Management-CID&A-ON-M5H1H1/566163917/,expired,2022-12-22T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, -35d6f866-7d45-4c8f-8b13-cd3a30a480f6,179960344,TD Bank Group,Data Scientist II (Data Conversion and Data Migration),on_site,"Toronto, ON",2022-12-22T17:24:06.283Z,"
                                -

                                Company Overview

                                -
                                -

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                -

                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                -
                                -

                                -

                                Department Overview

                                -
                                -

                                What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                                -

                                As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                                -

                                TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                                -
                                -

                                -

                                Job Description

                                -
                                -

                                About this Role
                                While you are a natural leader, you don’t mind getting your hands dirty. And in your role, you will simultaneously work to create data related solutions to drive business results, while working with senior leadership to communicate timelines and progress and identify business opportunities. You are not only a functional expert, you also possess broad managerial experience and specialized knowledge of regulatory and industry frameworks, using that knowledge to inform development cycles and develop industry leading analytic solutions. Most of all, your work ethic and thought leadership inspires your team to innovate with purpose, execute with speed, collaborate to deliver world-class data solutions and ultimately become leaders themselves.
                                We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work enterprise wide.
                                As a Data Scientist II, these are the essential qualifications of this role:

                                +

                                Analytical Reports, Analytics Strategy, Cloud Applications, Cloud DevOps, Cloud Platform, Data Engineering, Data Strategies, Functional Designs, Microsoft Cloud, Technical Subject Matter, Technology Roadmap, Technology Transformation
                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Consultant--Application-Development_2230781?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2022-11-21T15:36:00.000Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/167437788-sr-data-engineer-at-cibc,,expired,2022-11-15T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +2df4e48f-10ed-4e45-b26e-5dd2a7c7c009,162649012,Borealis AI,Machine Learning Researcher - Causality,on_site,"Waterloo, ON, Canada",2022-11-02T17:27:32.121Z,"
                                +
                                +
                                +

                                What\'s the opportunity?

                                +

                                As a Researcher in machine learning and causal inference, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We’re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                                +

                                Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                                +

                                Your responsibilities include:

                                  -
                                • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative data solutions that will become core work you’re doing
                                • -
                                • Work closely with business owners to find opportunities and serve as an ambassador for data science
                                • -
                                • Design and deliver enterprise analytic solutions for stakeholders
                                • -
                                • Participate in Workday implementation activities including discovery, design, configuration, documentation, testing, and project review sessions related to data conversion activities
                                • -
                                • Facilitate data discovery workshops, downstream impact analyses and proactively manage stakeholder expectations
                                • -
                                • Lead projects of moderate to complex risk and data requirements; may lead end-to-end data conversion activities
                                • -
                                • Analytical thought leadership and staying ahead of developments in data mining and the application of data science
                                • -
                                • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
                                • -
                                • Conduct a range of data analyses, demonstrating your in-depth experience with very large datasets and big data technologies; assessing business information-related data requirements aligned to business needs and for specific data platforms, applications systems and servers
                                • -
                                • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
                                • +
                                • Developing novel AI solutions that facilitate impactful products;
                                • +
                                • Conducting original, publishable research by advancing the state-of-the-art in machine learning and causal inference;
                                • +
                                • Working with the development team to transfer research work into production;
                                • +
                                • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                                • +
                                • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                                -
                                -

                                -

                                Requirements

                                -
                                What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                +

                                You’re our ideal candidate if you have:

                                  -
                                • Undergraduate degree or technical certificate
                                • -
                                • Seven (7) or more years relevant experience implementing enterprise solutions with at least one full life cycle using Workday
                                • -
                                • Sound conceptual knowledge in your area of specialty
                                • -
                                • Advanced analytical and problem-solving skills
                                • -
                                • Strong programming skills in Python and PySpark.
                                • -
                                • Comfortable in version control tools such as Git and knowledge of cloud environments such as Microsoft Azure.
                                • -
                                • Experienced in working in Big Data Analytical environments/technologies (Hadoop, HIVE, Spark), with a deep understanding of data mining and analytical techniques.
                                • -
                                • Experienced in working with relational databases.
                                • -
                                • Strong knowledge of Human Resources, financial services, and banking products. Working knowledge of Human Capital Management is preferred.
                                • -
                                • Out-of-the-box thinker who seek out innovative solutions and embrace evolving technologies
                                • -
                                • Strong ability to work collaboratively and independently, communicate effectively (both speaking and writing), follow instructions/direction, and help building relationships across teams and functions
                                • -
                                • Act as a brand champion for our business area / function and TD, both internally and externally
                                • +
                                • Experience in researching or applying causal inference;
                                • +
                                • A passion for solving open problems using data and algorithms;
                                • +
                                • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                                • +
                                • Ability to formulate and drive a research project independently without close supervision;
                                • +
                                • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                                -
                                -

                                -

                                Additional Information

                                -
                                  -
                                • Data Conversion and Data Migration
                                • -
                                • Experience working with any ERP system
                                • -
                                -

                                -

                                Hours

                                -
                                37.5
                                -

                                -

                                Inclusiveness

                                -

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                -

                                -
                                ",,https://jobs.td.com/en-CA/jobs/15245254/data-scientist-ii-data-conversion-and-data-migration-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-04T15:15:30.646Z,False,0,2,12,https://talenthub.vectorinstitute.ai/jobs/179960344-data-scientist-ii-data-conversion-and-data-migration-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15245254/data-scientist-ii-data-conversion-and-data-migration-toronto-ca/,expired,2022-12-22T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -bfa7f4d3-06aa-4db8-9fec-4ce40cc3716b,182852947,Google,"Developer Manager, Media, Graphics, and Display, Augmented Reality",on_site,"Toronto, ON, Canada",2023-01-02T17:20:02.418Z,"
                                -
                                -2022-12-07T11:10:56.825Z
                                -
                                  -
                                • Share
                                • -
                                  Save -
                                • -

                                Developer Manager, Media, Graphics, and Display, Augmented Reality

                                  -
                                • Google
                                • -
                                • In-office:
                                  - Waterloo, ON, Canada -
                                • -
                                -
                                -

                                Qualifications

                                -

                                Minimum qualifications:

                                -
                                  -
                                • Bachelor\'s degree or equivalent practical experience.
                                • -
                                • 5 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
                                  -
                                • -
                                • 5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role.
                                • -
                                -

                                Preferred qualifications:

                                -
                                  -
                                • Master\'s degree or PhD in Computer Science or related technical field.
                                  -
                                • -
                                • 7 years of experience designing and implementing OS and application runtime components.
                                  -
                                • -
                                • 5 years of experience in a technical leadership role leading project teams and setting technical direction.
                                  -
                                • -
                                • 3 years of experience working in a complex, matrixed organization involving cross-functional, projects.
                                  -
                                • -
                                • Experience with bare-metal or RTOS-based microcontroller development in C or C++.
                                  -
                                • -
                                • Experience with one or more of the following: microcontrollers, SoC, ISP, DSP, GPU, display and device drivers, hardware bring-up, power management, ARM processors, firmware, hardware/software integration, developing and debugging machine language, or wireless connectivity
                                  -
                                • -
                                -
                                -
                                -
                                -

                                About the job

                                -

                                Like Google\'s own ambitions, the work of a Software Developer goes way beyond just Search. Software Development Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of software developers. You not only optimize your own code but make sure software developers are able to optimize theirs. As a Software Development Manager you manage your project goals, contribute to product strategy and help develop your team. Software Development teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software developers are just getting started -- and as a manager, you guide the way.

                                -
                                -

                                Google\'s software developers develop the next-generation technologies that change how users connect, explore, and interact with information and one another.

                                -

                                You will work on and develop ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design, mobile, and more.

                                -

                                In this role, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as the business grows/evolves.

                                -
                                -

                                The Google Augmented Reality team is a diverse group of experts tasked with building the foundations for great immersive computing and building helpful, delightful user experiences. We\'re focused on making immersive computing accessible to billions of people through mobile devices, and our scope continues to grow and evolve.

                                -
                                -
                                -
                                -

                                Responsibilities

                                  -
                                • Lead the developing efforts for the media team, including audio, video, and camera software and hardware components.
                                • -
                                • Guide efforts to utilize accelerators (e.g., DSPs, GPUs, hardware, software, etc.).
                                  -
                                • -
                                • Design, guide, and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.
                                  -
                                • -
                                • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
                                • -
                                • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback and triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
                                  -
                                • -
                                -
                                -

                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                                At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                                -
                                -
                                -
                                ",,"https://careers.google.com/jobs/results/140922544619168454-developer-manager-media-graphics-and-display-augmented-reality/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-02-04T16:38:59.539Z,False,0,2,27,https://talenthub.vectorinstitute.ai/jobs/182852947-developer-manager-media-graphics-and-display-augmented-reality-at-google,,expired,2023-01-02T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Manager,Bachelors Degree,New Posting, -7a4c33df-d844-41f5-8802-76c0314b182f,181831442,Scotiabank,"Manager, Decisioning Models - Retail & Small Business",on_site,Canada : Ontario : Toronto,2022-12-29T17:22:03.214Z,"

                                -

                                -

                                -

                                -

                                Requisition ID: 164210

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                -

                                The world is changing faster than ever and so are we!

                                -

                                -

                                Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

                                -

                                Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

                                -

                                -

                                What You'll do in this Role?

                                -

                                As a Manager, you will report directly to a Senior Manager or Director and be a critical member of a team overseeing a portfolio of decisioning models and supporting analytic processes. You will support – from conception through execution and governance – the risk decisioning models used by 2 or more of the bank’s retail and small business product lines, across the entire customer lifecycle. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Model Operations, Product, Risk Strategy & Risk Management, Model Validation and Governance, Technology & Data, Finance, Legal, Compliance and Audit.

                                -

                                -

                                Your team will have access to both traditional SAS tools and a modern machine learning stack that includes on-premise GPU computing, open source Jupyter development environments, a Hadoop cluster, containerized API model deployment and data visualization business intelligence tools.

                                -

                                -

                                Under the guidance of your Director, your team of risk modeling experts will use these tools to develop advanced risk prediction models that will be used potentially millions of times, every year and therefore need to be not only accurate and precise, but highly stable, explainable, compliant, secure and useful. You will be responsible for understanding the goals & priorities set for you, executing them efficiently with a perpetual eye on quality, asking questions often and delivering results in harmony with your teammates.

                                -

                                -

                                Is This Role Right for You?

                                -
                                • You believe, first and foremost, in always doing the right thing and doing things the right way
                                • You are both deeply curious and highly pragmatic
                                • You are comfortable with ambitious but realistic goals and are committed to achieving them
                                • You are social, engaging, not afraid to ask questions and relish the opportunity to learn from business partners (the majority of whom will be far less technical than you)
                                • You relish the implication and yet also understand the responsibility and weight that comes with the fact that every single time your model is used, it impacts a real human being
                                • You understand the difference between accuracy and precision and get excited by really great KS values and ROC curves
                                • You have a genuine love, passion and talent for programming, data, and predictive modeling
                                • You are comfortable initiating conversations and collaborating with diverse personalities
                                • You are committed to quality in everything you do – statistically, process and governance wise
                                • You look forward to sharing your insights with your peers through high-quality effective verbal and written communications
                                • You are professional, motivated AND FUN. We mean it.
                                • -
                                -

                                Sample projects that you might work on include:

                                -
                                • Complete specialized analysis, develop creative statistical solutions and recommend improvements to estimation techniques, risk rating systems and/or internal or vendor-developed credit risk models
                                • Collaborate with risk management teams, external vendors, technology, and country risk counterparts as well as other stakeholders (i.e. audit, product) to ensure consistent and effective governance, measurement and communication of models / scorecards and their performance
                                • Conduct research of new innovative modeling methodologies, tools and regulatory requirements; develop new methodologies for model development, monitoring and reporting
                                • Lead the periodic review and maintenance of credit risk models / scorecards
                                • Identify, promote and lead process improvements for model development and monitoring
                                • Ensure that the data used for model development is reliable and robust and that it adheres to industry and regulatory standards
                                • -
                                -

                                -

                                What Are We Looking For?

                                -

                                We want talented pragmatic analytically oriented data scientists who are equally at home interpreting and applying statistics as they are ingesting and massaging data, translating regulatory requirements into models and explaining complex issues in simple concise ways. We want bright and energetic minds who come armed with a bottomless sense of curiosity about everything (great models and analytics are about so much more than just the numbers!), a passion for getting things done right – the first time – and a deep sense of personal and professional accountability.

                                -

                                To be a Manager in Retail Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you also need to be a collaborative team player who actively listens to stakeholders and customers because you are passionate about helping them win and you need to be interested in building something lasting and great. Working with customers across the bank to understand and translate their needs into outcomes, exploring both novel and legacy data sets and methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that your team “owns” will all be equally important.

                                -

                                We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

                                -

                                -

                                Do you have the skills that will enable you to succeed in this role?

                                -

                                General

                                -
                                • Bachelor’s Degree in Mathematics, Computer Science, Engineering or an equivalent technical field
                                • A demonstrated history of analytic problem solving and sound judgment
                                • Experience as an analyst or data scientist with a track record of accomplishments working on cross-functional teams
                                • Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit high-quality documentation and be accepted as a trusted advisor by peers
                                • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines
                                • -
                                -

                                -

                                Technical

                                -
                                • Strong fundamental understanding of statistics
                                • 2+ years of overall experience in analytic roles developing and using predictive, risk and/or forecasting models
                                • Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows)
                                • 1 or more years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
                                • Knowledge of credit risk models / scorecards
                                • -
                                -

                                -

                                Nice To Have's

                                -
                                • Proficient reading, writing and speaking Spanish (not required)
                                • Experience developing credit risk models / scorecards
                                • Domain expertise with any retail & small business banking products and/or risk management practices
                                • FRM, CFA credentials
                                • Experience training and deploying machine learning models using common Python open source frameworks (i.e., scikit-learn) and/or Python DevOps
                                • Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI) power user
                                • Experience working with FICO / TSYS / CGI decision systems (TRIAD, OM, ACE, CACS)
                                • -
                                -

                                What's In it For You?

                                -
                                • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
                                • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                                • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
                                • Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
                                • A competitive compensation package
                                • -
                                -

                                -

                                This position is located in downtown, Toronto. There are two positions available.

                                -

                                -

                                -

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Decisioning-Models-Retail-&-Small-Business-ON-M5H1H1/564040217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-04T16:15:27.813Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/181831442-manager-decisioning-models-retail-small-business-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Decisioning-Models-Retail-&-Small-Business-ON-M5H1H1/564040217/,expired,2022-12-29T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -b2bead8e-8514-4532-aa03-2ba237a47ea1,181831141,Google,"Operations Technician, Data Center (English)",on_site,"Toronto, ON, Canada",2022-12-29T17:20:02.227Z,"
                                -
                                -2022-12-23T14:00:52.747Z
                                -
                                  -
                                • Share
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                                  Save -
                                • -

                                Operations Technician, Data Center (English)

                                  -
                                • Google
                                • -
                                • In-office:
                                  - Toronto, ON, Canada -
                                • -
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                                Qualifications

                                -

                                Minimum qualifications:

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                                • Diploma of College Studies in Computer Science or Electronics, or equivalent practical experience.
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                                • -
                                • Experience in Operating Systems and Networking Protocols.
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                                • Security clearance from the Government of Canada for Protected B work sites.
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                                • -
                                • Ability to speak and write in English fluently.
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                                -

                                Preferred qualifications:

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                                  -
                                • Experience working with computer hardware and server hardware or troubleshooting/diagnosing.
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                                • -
                                • Experience in collaborating and partnering with teams.
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                                • Ability to speak in both French and English fluently.
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                                • -
                                -
                                -
                                -
                                -

                                About the job

                                -

                                Google isn\'t just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google\'s powerful search technology. As an Operations Technician, you\'ll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google\'s Linux cluster). You\'ll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You\'ll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.

                                -

                                Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google\'s product portfolio possible. We\'re proud to be our software developers, developers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

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                                -
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                                Responsibilities

                                  -
                                • Contribute to and lead efforts/projects in the deployment, maintenance and support of data center infrastructure.
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                                • -
                                • Lead troubleshooting and resolve escalated technical issues over a population of affected equipment.
                                • -
                                • Help test and troubleshoot new complex server hardware components and designs.
                                • -
                                • Configure and troubleshoot OS-related issues on servers.
                                • -
                                -
                                -

                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                                At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                                -
                                -
                                -
                                ",,"https://careers.google.com/jobs/results/131345155136332486-operations-technician-data-center-english/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-02-04T16:14:23.478Z,False,0,4,19,https://talenthub.vectorinstitute.ai/jobs/181831141-operations-technician-data-center-english-at-google,,expired,2022-12-29T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,College Diploma,New Posting, -cedfb7ef-4405-402b-b3fe-fd992e2765ea,183866325,EllisDon,Data Engineer,on_site,"Mississauga, ON L4Y1M4, CAN Mississauga, ON L4Y1M4, CAN",2023-01-05T17:39:02.875Z,"

                                Job Details

                                Description

                                -

                                Connect with us LinkedIn, Instagram, Facebook, Twitter

                                -

                                EllisDon is committed to being the safest general contractor. As part of our vaccine directive, we require employees to be fully vaccinated, or in the process of receiving the vaccine against COVID-19. Should you have any additional questions related to our vaccine directive as you move forward in the hiring process, please discuss this with our People & Culture team.

                                -

                                Thinking about a change?

                                -

                                We recognize that the construction industry is changing at a rapid pace and we continually strive to be at the forefront. Our core values empower people to deliver great careers and develop creative solutions for complex problems on some of the most intricate projects. It doesn’t matter what your expertise and craft is – there are no boundaries. We are a group of leading professionals with a variety of expertise: engineers, investment bankers, superintendents, estimators, software engineers, accountants, lawyers, marketing and communications consultants, sustainability professionals, and project managers. As you can see, we are a diverse bunch.

                                -

                                In case you’re curious, here’s what the industry thinks of us and some cool things we have done.

                                -

                                -

                                You as a Data Engineer (Insight and Analytics) will:

                                +

                                What’s in it for you?

                                  -
                                • Be a technical lead in the development of high-volume platforms & Data pipelines
                                • -
                                • Work with relevant stakeholders to identify sources of data and map out processes/data flow while researching opportunities for data acquisition and innovative new uses for existing data.
                                • -
                                • Design, construct, install, test, and maintain highly scalable data management systems while integrating new data management technologies into existing structures.
                                • -
                                • Develop ETL processes to move internal and external data into EllisDon's external cloud-based data lake: Develop separate ETL processes to move data from data lake to data warehouse(s).
                                • -
                                • Provide input and feedback to support continuous improvement in team processes
                                • -
                                • Providing thought leadership for all data solutions, including designing data solutions that meet and exceed customer expectations.

                                • -
                                • Continually improve our data pipelines and find innovative ways to maximize automation while recommending ways to improve data reliability, efficiency, and quality.

                                • +
                                • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                • +
                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                • +
                                • Leaders who support your development through coaching and managing opportunities;
                                • +
                                • Ability to make a difference and lasting impact from a local-to-global scale.
                                • +
                                +

                                About Borealis AI

                                +

                                Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                +

                                Inclusion and Equal Opportunity Employment

                                +

                                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                +
                                +
                                +
                                +
                                +
                                +
                                +
                                +
                                ",,https://www.borealisai.com/careers/?gh_jid=5689077002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-11-21T15:39:00.000Z,False,0,3,49,https://talenthub.vectorinstitute.ai/jobs/162649012-machine-learning-researcher-causality-at-borealis-ai,,expired,2022-11-02T17:27:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Entry Level,PhD,New Posting, +41191b9b-dd85-4235-aa14-65648c92e3ac,162649009,Borealis AI,Machine Learning Researcher - Atom Group,on_site,"Toronto, ON, Canada",2022-11-02T17:27:31.841Z,"
                                +

                                What\'s the opportunity?

                                +

                                As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We\'re a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

                                +

                                Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

                                +

                                Your responsibilities include:

                                +
                                  +
                                • Developing novel AI solutions that facilitate impactful products;
                                • +
                                • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
                                • +
                                • Working with the development team to transfer research work into production;
                                • +
                                • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
                                • +
                                • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.
                                -

                                Is this the right role for you?

                                +

                                You’re our ideal candidate if you have:

                                  -
                                • Have knowledge and understanding of Programming Languages: Python and/or Java, SQL, ETL methodologies and toolsets, AWS/Google ecosystem, Database design, MS SQL, MySQL and/or Redshift/Big Query and NoSQL
                                • -
                                • Comfortable working in a fast-paced environment and collaborative environment
                                • +
                                • A passion for solving open problems using data and algorithms;
                                • +
                                • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;
                                • +
                                • Ability to formulate and drive a research project independently without close supervision;
                                • +
                                • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.
                                • +
                                • Demonstrated ability to deliver machine learning solutions following industry best practices in software engineering is an asset.
                                • +
                                • Experience with time series or event forecasting, especially with asynchronous data, is an asset.
                                -

                                EllisDon is proud to provide this unique career opportunity within a progressive environment with continuous learning and opportunity for growth, as well as a competitive compensation package.

                                -

                                Go ahead and be yourself. We'll pay you for it!

                                -

                                We are an equal opportunity employer. While only qualified candidates will be contacted for an interview, be sure to continually check our website for other related positions as they are posted.

                                -

                                Accommodation for Applicants will be made during the recruitment process when requested.

                                -

                                Apply today at www.ellisdon.com (or Share on LinkedIn , Facebook)

                                Qualifications

                                Skills

                                Behaviors

                                :

                                Motivations

                                :

                                Education

                                Experience

                                Licenses & Certifications

                                ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=7a6e8aa5-f1a1-4968-a315-d2f415a5a841,feed-importer@jobboard.io,,,,2023-02-04T21:38:30.459Z,False,0,19,59,https://talenthub.vectorinstitute.ai/jobs/183866325-data-engineer-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=7a6e8aa5-f1a1-4968-a315-d2f415a5a841,expired,2023-01-05T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Construction or Infrastructure,Associate,Bachelors Degree,New Posting, -e3ddfba5-ea59-43c4-bee2-6c069fb1e562,154076345,CN,"Intern, Data Migration Analyst",on_site,"Ontario, Canada",2022-09-30T07:35:03.101Z,"
                                -

                                At CN, everydaybrings new and exciting challenges. You can expect an interesting environmentwhere you’re part of making sure ourbusiness is running optimally and safely―helping keep the economy on track. We welcome students who share theirideas, perspectives and understanding of newtechnologies withour teams. In return, we provide the opportunity towork on exciting projects with experienced collaborators who are happy to share their knowledge, all within a mutually-agreed to framework. Youwill be able to thrive in our close-knit, safety-focused culture workingtogether as ONE TEAM. The opportunities we offer are meaningful because thework we do matters. Join us!

                                -

                                -

                                Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern, Data Migration Analyst position in Montreal, Quebec for winter 2023 (January – April)

                                -

                                Job Summary

                                -

                                The Intern, Data Migration Analyst is responsible for collaborating with Data Migration to support the Systems, Applications and Products (SAP) business transformation that CN is currently undertaking. The incumbent performs data migration roadmap. The position carries out tasks related to the current data and data structures that constitute the new environment, including master and transactional data objects identification, data profiling and quality assessment, establish data cleansing strategies and their implementation, iterative data validation runs, and corrective actions prior to mock-ups and actual production migrations. The role contributes to the data enrichment activities and mapping as well as the transformations required to meet the updated business processes requirements, including mapping validation, troubleshooting, reconciliation prior to mock-ups, and actual production migrations.

                                -

                                Major Responsibilities

                                -

                                Data-related Tasks Associated to the As-Is Environment – 50%

                                +

                                What’s in it for you?

                                  -
                                • Support the data team in accomplishing tasks
                                • -
                                • Identify data objects and profile quality
                                • -
                                • Clean data object strategies and their implementation
                                • -
                                • Clean validation and implement corrective measures
                                • +
                                • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                • +
                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                • +
                                • Leaders who support your development through coaching and managing opportunities;
                                • +
                                • Ability to make a difference and lasting impact from a local-to-global scale.
                                -


                                -

                                Data-related Tasks Associated to the To-Be Environment – 50%

                                +

                                About Borealis AI

                                +

                                Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                +

                                Inclusion and Equal Opportunity Employment

                                +

                                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request

                                +
                                ",,https://www.borealisai.com/careers/?gh_jid=5870636002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2022-11-21T15:39:00.000Z,False,0,6,69,https://talenthub.vectorinstitute.ai/jobs/162649009-machine-learning-researcher-atom-group-at-borealis-ai,,expired,2022-11-02T17:27:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Entry Level,PhD,New Posting, +9e1c0c12-6c17-4bd4-9cc2-e85d3c3e818e,168851461,Omers,Data Scientist,on_site,"Toronto, ON, Canada",2022-11-19T17:42:02.852Z,"
                                Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                The Data Scientist will join the dynamic Enterprise Data & Advanced Analytics team within Data & Technology that applies data, analytics and AI to develop scalable business-first solutions for sustainable growth at OMERS. The Data Scientist will work alongside analytics specialists on their team and partner with data and analytics specialists within businesses and corporate functions to design, develop, implement and scale advanced solutions following best practices to drive measurable business outcomes.



                                Reporting to the Director of Enterprise Data Science, you will work closely with our Businesses, Corporate Functions, Enterprise Architecture, Business Relationship Management, Infrastructure and Enterprise Service Management, Cyber, Data Engineering, Data Governance and Analytics Strategy teams to deploy new capabilities following leading product management and AI system methodologies. You will develop and nurture strong relationships with partners in a variety of different business units across our global portfolio, building an understanding of their needs and how to apply data, analytics and AI techniques to increase scale and operational efficiency, enhance self-service capabilities and elevate the understanding & application of these capabilities across the company.



                                The Data Scientist will partner with internal stakeholders and external partners to build out AI systems and deliver data analytics projects within set timelines. They meet objectives and focus on priorities which drive the successful operation of this Department and ensures alignment with OMERS business and technology strategy.

                                +

                                +

                                As a member of this team, you will be responsible for:

                                  -
                                • Identify data mapping and transformation requirements according to the business process re-engineering efforts
                                • -
                                • Sandbox assessment of data mapping and transformation methods as well as algorithms
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                                • Validate runs and implement corrective measures
                                • +
                                • Fostering strong relationships among cross-functional teams and facilitating decision making within multi-level audiences. Applying a system thinking approach to lead execution of data, analytics and AI initiatives quickly and in collaboration with other teams
                                • +
                                • Driving the implementation of corporate/strategic objectives via AI/ML driven projects and seeing opportunities
                                • +
                                • Building ML projects from experiments and hands-on solutioning through to production
                                • +
                                • Implementing model tracking, updating, and auto-train capabilities in addition to accounting for drift and imbalance
                                • +
                                • Building and maintaining NLP models using state of the art techniques like transformers and seq2seq for the purposes of classification, sentiment analysis, entity extraction, and more
                                • +
                                • Driving analytics innovation by posing open ended questions, exploring new ideas, recommending the appropriate techniques to solve challenging business problems and rapid prototyping
                                • +
                                • Developing, deploying, and operationalizing data science products along with the supporting integrated tools and processes, including but not limited to security, performance, scalability, and extendibility
                                • +
                                • Hands on creation and oversight of analytical models, conducting model training, validation, testing, integrated reconciliations and ongoing data and model integrity maintenance
                                • +
                                • +Remaining on the “leading edge” of emerging data, analytics and AI technologies and techniques to identify and implement novel tools and techniques and their application to new use cases and deployment opportunities +
                                • +
                                • Driving a culture of innovation and AI by taking initiatives for activities such as lunch and learns, hackathons, paper readouts, etc.
                                -

                                Requirement

                                -

                                Education/Certification/Designation

                                -
                                • Bachelor’s Degree in Technical or Business fields with interest in data management, including business analysis and processes, Mathematics, Statistics, Data Science, and Engineering
                                -


                                -

                                Skills/Knowledge/Assets

                                +

                                +

                                To succeed in this role, you have:

                                  -
                                • Interest in managing data, including its meaning, attributes, characteristics, and business value
                                • -
                                • Interest in business processes and how data interrelates with those processes
                                • -
                                • Applies critical thinking
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                                • Interest in identifying issues and applying resolution in complex data sets
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                                • Interest in handling data
                                • -
                                • Knowledge of Excel and other equivalent productivity tools
                                • -
                                • Evaluates data compliance with business rules such as quality metrics
                                • -
                                • Applies cleansing strategies, mapping, and transformation rules as well as analyze the outcome, determine, and apply corrective measures
                                • -
                                • Communicates with impact
                                • +
                                • A undergraduate or graduate degree in Computer Science, Engineering, Statistics, Mathematics or any other quantitative field
                                • +
                                • Minimum five (5) years’ experience working in a data science/ Machine Learning environment
                                • +
                                • 1-3+ years of experience leading and delivering enterprise-scale data science/ML projects and facilitating collaboration across teams
                                • +
                                • A proven grasp of the practical and theoretical aspects of statistical and deep learning such as data structures, algorithms, gradient descent, probability theory, linear algebra, calculus, hypothesis testing, and more
                                • +
                                • Experience building scalable and automated ML pipelines with strong Python programming skills
                                • +
                                • Natural language computing/understanding experience including but not limited to source data extraction, structuring, named entity extraction, sentiment analysis, topic modelling, and more
                                • +
                                • Experience with framework such as TensorFlow, Keras, PyTorch, MxNet and the sci-kit learn library
                                • +
                                • Proficiency with git is a must
                                • +
                                • Experience implementing pre-built models at scale along with retraining and implementing a custom deep-learning architecture is a strong plus
                                • +
                                • Experience working in the financial sector- ideally banks or investment firms, is an asset
                                • +
                                • Experience within Pensions, Investments and Commercial Real Estate sectors are an asset
                                • +
                                • Hands-on experience with big data systems such as Spark, Hadoop, Hive and ideally cloud technologies such as Azure Data Factory, AzureML, Azure Synapse, Google Fusion, Google BigQuery, AWS SageMaker, and others
                                • +
                                • Experience in using external/alternative data, data modeling, data architecture, data engineering, insight generation, data visualization, feature engineering and AI systems development & optimization
                                • +
                                • A passion around learning new technologies and analytical techniques with a track record of acting on this in prior roles and in their free time through projects, partnerships, mentoring and hackathons
                                • +
                                • Demonstrated experience as a leader in creatively addressing unique or ambiguous situations and motivating teams and delivering multiple projects simultaneously serving multiple stakeholders
                                • +
                                • The ability to build relationships and facilitate across a diverse group of stakeholders in several different business units
                                • +
                                • Demonstrated experience applying product management, design thinking and human centered design
                                • +
                                • Polished written and verbal communication and presentation skills targeted at all levels of the organization

                                -

                                -

                                About CN

                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                -

                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                -
                                ",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/9043?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2022-10-18T17:37:00.000Z,False,0,5,43,https://talenthub.vectorinstitute.ai/jobs/154076345-intern-data-migration-analyst-at-cn,,expired,2022-09-30T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Transportation,Internship/Co-op,Masters Degree,New Posting, -2d05c8c3-0d56-4544-850e-be92a0b772a2,143494093,CN,"Intern, Data Scientist – Computer Vision",on_site,"Ontario, Canada",2022-08-11T07:35:11.046Z,"
                                -

                                At CN, everydaybrings new and exciting challenges. You can expect an interesting environmentwhere you’re part of making sure ourbusiness is running optimally and safely―helping keep the economy on track. We welcome students who share theirideas, perspectives and understanding of newtechnologies withour teams. In return, we provide the opportunity towork on exciting projects with experienced collaborators who are happy to share their knowledge, all within a mutually-agreed to framework. Youwill be able to thrive in our close-knit, safety-focused culture workingtogether as ONE TEAM. The opportunities we offer are meaningful because thework we do matters. Join us!

                                -

                                Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern, Data Scientist – Computer Vision position in Canada for fall 2022 (September – December).

                                -

                                Job Summary

                                -

                                The Intern, Data Scientist – Computer Vision is responsible for working on CN’s Automated Train Inspection (ATI) program and support the development and evaluation of the Machine Learning (ML) and Computer Vision pipeline. The incumbent assists with the automation of the image annotation process and explores training of neural networks leveraging small datasets. The position ensures consistency across image annotations for the ML and Deep Learning (DL) models training.

                                -

                                Major Responsibilities

                                +

                                +

                                +

                                Our story:

                                +

                                Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $121 billion in net assets as at December 31, 2021. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                +

                                +

                                OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                +

                                +

                                +

                                Vaccination Policy

                                +

                                +

                                At OMERS and Oxford the office or worksite is our primary place of work. We are committed to providing work environments which promote the health, safety and well-being of all employees in accordance with public health regulation and guidance. Accordingly, employees are required to provide evidence of full vaccination or have an approved exemption.

                                +
                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Data-Scientist_JR-4009?q=analytics+ontario,feed-importer@jobboard.io,,,,2022-11-21T17:47:08.995Z,False,0,1,3,https://talenthub.vectorinstitute.ai/jobs/168851461-data-scientist-at-omers,,expired,2022-11-19T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, +5314bc0a-54b4-4704-bc09-4f743366f062,158772638,Reticle,Director of AI,temporary,"Toronto, ON, Canada",2022-10-21T19:14:05.989Z,"

                                The Role:

                                +

                                To facilitate the continued growth and innovation of Reticle, we’re seeking a Director of AI. This role requires an experienced and analytical individual to produce and implement innovative modelling techniques that incorporate a variety of features – including text, entities, images, etc. – to inform and enhance the classification outcomes of our model. The ideal candidate will have prior experience in advertising technology, a team-first attitude, and a passion for building compelling data products.

                                +

                                +

                                Why You Will Love This Opportunity:

                                  -
                                • Perform research on efficient learning algorithms that require fewer manually labeled data sets such as Active Learning, Semi-Supervised learning, and Few-Shot Learning
                                • -
                                • Publish research findings to ML conferences might be a possibility
                                • -
                                • Support Data Scientist and ML Developer on the design and development of ML Solutions
                                • -
                                • Translate the technology solution architecture into engineering and software development standards and specifications
                                • -
                                • Apply and ensure compliance with appropriate CN Information and Technology (I&T) standards, including Security, Architecture, Project Delivery Methodology, Sarbanes-Oxley (SOX), Telecom, and Software Engineering
                                • -
                                • Conduct code reviews and ensure coding standards
                                • +
                                • This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.
                                • +
                                • Autonomy to spearhead the development, implementation and innovation of an emerging data product using cutting edge technologies.
                                • +
                                • Supportive and growing team that ensures projects are well-resourced, timelines are attainable, work-life is balanced, and that our business units are organized and aligned.
                                • +
                                • Nobody else is doing what we’re doing effectively. We have a number of partnerships that will ensure our work is utilized by the largest brands and agencies in the world.
                                -

                                Requirements

                                +

                                +

                                Key Job Responsibilities

                                  -
                                • Experience with Python, Shell, and other scripting languages
                                • -
                                • Knowledge of DL frameworks such as Pytorch, Tensorflow, and Keras
                                • -
                                • Knowledge of Computer Vision for Objects Detection, Segmentation, and Classification
                                • -
                                • Applies critical thinking
                                • -
                                • Communicates with impact
                                • -
                                • Solves problems to create value
                                • -
                                • Experience in Active Learning, Semi-Supervised Learning, and Few-Shot Learning algorithms*
                                • +
                                • Design, experiment and evaluate highly innovative models.
                                • +
                                • Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative data and business judgment.
                                • +
                                • Analyze and extract relevant information from large amounts of both structured and unstructured data including images and texts to help automate and optimize key processes.
                                • +
                                • Building and scaling big-data machine learning model pipelines.
                                • +
                                • Work closely with software engineering teams to drive real-time model experiments, implementations and new feature creations.
                                • +
                                • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
                                • +
                                • Develop and manage a research agenda that includes defining and conducting experiments and developing prototypes, as well as establishing longer term roadmaps that allow us to deliver production solutions.
                                • +
                                • Advance the team's overall product vision and direction, while driving continued scientific innovation as a thought leader and practitioner.
                                • +
                                • Learning and up-skilling new knowledge on Machine learning and educating others
                                • +
                                • Maintain accountability and strong sense of ownership
                                • +
                                • Perform hands-on data analysis, build ML models, run regular A/B tests, conduct profiling, tune code, and communicate the learning and impact through senior executive levels.
                                • +
                                • Collaborate with business, product and tech teams.
                                • +
                                • Stay up to date with recent scientific publications relevant to the team.
                                -

                                Education

                                -
                                • Working toward a Bachelor’s Degree, Master’s Degree or Ph.D. Degree in Computer Science, Computer Engineering, Software Engineering, Artificial Intelligence (A.I.), ML or a related field of study
                                -

                                *Any experience/education/skills/knowledge for these above would be considered as an asset

                                +

                                Basic Qualifications

                                +
                                  +
                                • PhD or Master’s degree in a quantitative discipline such as Statistics, Mathematics, Data Science, Economics, Quantitative Social Science, or Computer Science
                                • +
                                • 5+ years of experience working as a data scientist or a similar role involving data extraction, analysis, statistical modelling, and communication
                                • +
                                • 5+ years of experience using data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab, etc.)
                                • +
                                • Excellent oral and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization.
                                • +

                                -

                                About CN

                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                -

                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                -
                                ",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/8929?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2022-08-18T07:40:00.000Z,True,0,14,112,https://talenthub.vectorinstitute.ai/jobs/143494093-intern-data-scientist-computer-vision-at-cn,,expired,2022-08-11T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Transportation,Internship/Co-op,Bachelors Degree,New Posting, -dacd2eb6-7b00-4c14-9dc3-68cca5a94ebe,84434811,Unity Health Toronto,Junior Data Scientist - Data Science & Advanced Analytics,temporary,"Toronto, ON, Canada",2021-09-21T06:09:18.651Z,"

                                The Data Science and Advanced Analytics (DSAA) team at Unity Health Toronto houses a team of Data Scientists devoted to applying data science to advance patient care and health system efficiency at Unity Health Toronto. DSAA is looking for a Data Scientist who will focus on machine learning applications in healthcare.

                                -

                                DSAA works closely with physicians and administrators at St. Michael’s Hospital and researchers at the University of Toronto in a team-based environment. The Data Scientist will use the Enterprise Data Warehouse at St. Michael’s Hospital as the primary data source to provide data-driven insights into key drivers of patient outcomes and hospital performance. The Enterprise Data Warehouse at St. Michael’s Hospital is one of the most comprehensive inpatient databases in Canada.

                                -

                                As part of the data science team, the successful candidate will support Sr. Data Scientists in all stages of DSAA analytic projects. Responsibilities will include importing, manipulating and cleaning raw data, exploring and creating data summaries including data visualization and tabular reports. Additionally, the candidate will contribute to building and validating predictive models using analytical techniques such as time series analysis, multivariable regression analysis, and neural networks. Other responsibilities will include contributing to manuscripts and ethics applications, ad hoc report generation and support of data management activities, which may involve database validation, data review, and quality control. Data Scientists at the DSAA have areas of specialization within machine learning, simulation modeling, and/or biostatistics. The possible areas of specialization for this Data Scientist position are time series models, forecasting, graphical methods, Bayesian methods, and/or ML/ModelOps.

                                -

                                DUTIES & RESPONSIBILITIES:

                                +

                                Preferred Qualifications

                                  -
                                • Conducting analysis with basic supervised and unsupervised machine learning methods is an asset, including: Linear regression, logistic regression, GLM, penalized regression, SVM, random forest, xgboost, and neural networks
                                • -
                                • Perform descriptive and inferential statistical analysis in R and/or Python. Write HTML/PDF/Microsoft Word reports summarizing the analysis.
                                • -
                                • Validate output tables, listings or figures generated to ensure accuracy and reliability of analyses
                                • -
                                • Produce high quality ad hoc and standardized reports customized per project, using R/Python procedures, tailored to different end-users (e.g. clinicians, researchers, senior management, and hospital executives)
                                • -
                                • Develop efficient programs, algorithms, or systems to reduce programming time of standardized data analyses and reports
                                • -
                                • Assist with writing project protocols, including: data extraction, cleaning, predictive modelling, and validation plans
                                • -
                                • Write queries to extract data from the St. Michael’s Hospital Enterprise Data Warehouse (EDW)
                                • -
                                • Pre-process raw data to prepare for analysis. This includes cleaning and merging data from multiple sources, as well as understanding overall data quality.
                                • -
                                • Design and develop dashboards and reports with interactive visualizations using libraries like Highcharts, plotly, etc.
                                • +
                                • Advanced expertise in Python,SQL, Stata, R and/or Scala.
                                • +
                                • Experience with deep learning–based NLP models such as BERT, OpenAI, ELMo and more
                                • +
                                • Deep learning architecture skills including CNNs, LSTMs, Transformers
                                • +
                                • Experienced in deep learning frameworks like Tensorflow, PyTorch
                                • +
                                • Experience finding practical solutions for ambiguous and challenging business questions
                                • +
                                • Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to non-experts
                                • +
                                • Experience directly managing scientists and/or machine learning engineers.
                                • +
                                • Experience with Big Data technologies such as AWS, Hadoop, Spark, Hive, Lucene/SOLR, or Kafka
                                • +
                                • Skilled in developing and querying knowledge graph like WikiData
                                • +
                                • Experience in building and leading small-medium research teams.
                                • +
                                • Launched research-inspired products/features that impacted real users.
                                • +
                                • Strong experience working effectively with science, data processing, and software engineering teams
                                • +
                                • Entrepreneurial spirit combined with strong architectural and problem solving skills
                                • +
                                • Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements
                                • +
                                +

                                +

                                Perks:

                                +
                                  +
                                • Remote/Hybrid role
                                • +
                                • Benefits and wellness package
                                • +
                                • 3 weeks vacation
                                • +
                                • Paid cell phone
                                • +
                                • Fridays off before long weekends
                                • +
                                ",jonah.cait@hotspexmedia.com,,jonah.cait@hotspexmedia.com,http://www.reticleai.com,,,2022-11-23T14:58:59.546Z,False,0,0,41,https://talenthub.vectorinstitute.ai/jobs/158772638-director-of-ai-at-reticle,,expired,2022-10-21T19:14:00.000Z,website,Startup (1-19),Vector Quick Apply,Technology (Product Development),Senior Level,Masters Degree,New Posting, +9069bf13-6252-4390-a1fa-7905b201510e,178993405,KPMG,"Data Scientist (Intern/Co-op), Lighthouse Canada",on_site,"Toronto, Canada",2022-12-19T17:26:02.230Z,"

                                Overview

                                +

                                At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

                                +

                                +

                                Do work that matters, supported by a community that values difference and cares about you. Gain learning that’ll last you a lifetime and be recognized for the impact you make. With a focus on encouraging employees to come as they are, KPMG provides its employees with a variety of unique tools and support systems that ensure they thrive and make their mark in their career and in their communities.

                                +

                                +

                                Why KPMG Lighthouse?

                                +

                                +

                                KPMG Canada’s Center of Excellence for Data & Analytics + Intelligent Automation applies exponential thinking and emerging technologies to solve today’s challenges. Join a diverse team that is always curious and learning, thinking independently and working collaboratively, has a passion to solve difficult problems and has fun doing it.

                                +
                                  +
                                • Our teams apply exponential thinking and emerging technologies to solve today’s challenges
                                • +
                                • We are comprised of a global network of over 12,500 experts including data scientists and engineers
                                • +
                                • Our teams build and deliver solutions that transform the business of our clients
                                • +
                                • Our regional hubs are in strategic markets and provide specialty services to local teams
                                -

                                QUALIFICATIONS:

                                +

                                KPMG Lighthouse Canada has an exciting opportunity for Data Scientists (Intern/Co-op) to join our team for 4-8 months starting in May 2023!

                                +

                                +

                                ** Please note that you must be enrolled in a Canadian post-secondary educational institution to be eligible for this opportunity.

                                +


                                What you will do

                                  -
                                • A Master's degree Computer Science, Statistics/Biostatics or related quantitative or informatics disciplines, with at least 1 year of relevant work experience (We will also consider other degrees and disciplines in conjunction with applied experience)
                                • -
                                • Expert level programming with either R (preferred) or Python is required
                                • -
                                • Experience working with and manipulating large datasets
                                • -
                                • Familiarity with databases such as: Netezza, SQL, Oracle, etc.
                                • -
                                • Familiarity with version control (git, Github, GitLab).
                                • -
                                • Experience writing reproducible reports using R Markdown (preferred) and/or Jupyter Notebooks
                                • -
                                • A deep understanding and experience with classical hypothesis testing, regression and classification tasks using generalized linear models, penalized regression, decision tree learning, random forest, support vector machines
                                • -
                                • Experience with time series modeling approaches, such as ARIMA, state space modeling, feed forward and recurrent neural networks is an asset.
                                • -
                                • Experience with graphical methods would be an asset
                                • -
                                • Experience with Bayesian methods would be an asset
                                • -
                                • Experience with ML/ModelOps would be an asset
                                • -
                                • Experience in healthcare is an asset
                                • -
                                • Demonstrated ability to manage statistical programming activities
                                • -
                                • Proficient with MS Office software (Word, Excel, PowerPoint, Outlook, etc.)
                                • -
                                • In order to be considered for this position, please include links to any public-facing code and tools you have created (e.g., personal or institutional Github repositories, your website)
                                • +
                                • Work with a group of data scientists, data engineers to solve interesting and challenging business problems using advanced data analytics, AI and ML solutions.
                                • +
                                • Utilize advanced analytical techniques to solve challenging business problems. Leverage a diverse set of technologies and tools to deliver insights.
                                • +
                                • Propose and develop results, models and rules engines using statistics, machine learning, Natural Language Processing, Linear Programming, etc.
                                • +
                                • Work with large volumes of data (structured and unstructured).
                                • +
                                • Perform quantitative analysis of data issues.
                                • +
                                • Work in teams or individuals to performance ETL/ELT (extract, transform and load) of data from a variety of databases, from SQL, NoSQL, Hadoop, Neo4j, etc.
                                • +
                                • Experience with large scale and or distributed processing methodologies such as Storm, Spark and many others.
                                • +
                                • Review data quality and definitions, and perform data cleansing and data management tasks.
                                • +
                                • Work with the engagement team to translate business and analytics requirements into a data strategy for the engagement including ETL, data model and staging data for analysis
                                • +
                                • Run queries for descriptive analytics and provide formatted result sets.
                                • +
                                • Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions.
                                • +
                                • Support application testing and production implementation as required.
                                • +
                                • Bridge the gap between technical platform needs and business issues.
                                -

                                As a condition of employment, all external hires will be required to submit proof of COVID-19 vaccination or documentation unless a valid accommodation under the Ontario Human Rights Code exists.

                                ",,https://unityhealth.to/careers-at-unity-health-toronto/?JobNumber=884265,kaiyin.zhu@unityhealth.to,https://unityhealth.to/,,,2021-10-14T17:41:00.000Z,False,0,30,201,https://talenthub.vectorinstitute.ai/jobs/84434811-junior-data-scientist-data-science-advanced-analytics-at-unity-health-toronto,,expired,2021-09-21T06:09:00.000Z,website-existing-job-slot,Enterprise (500+),Application Click Through,Health,Associate,Masters Degree,New Posting, -f0a803d1-a8d6-4631-9e4a-7b087eb93f0c,167454774,TD Bank Group,Sr. Data Engineer,on_site,"Toronto, ON",2022-11-15T17:24:03.573Z,"
                                +


                                What you bring to the role

                                +
                                  +
                                • Strong experience in analytics, statistics, data mining, machine learning, natural language processing and/or mathematics.
                                • +
                                • Problem solving ability through the use and/or development of algorithms, models, testing, etc.
                                • +
                                • Effectively communicate orally and written with peers within Data & Analytics teams, KPMG and the client.
                                • +
                                • Experience working in teams to perform ETL/ELT (extract, transform and load) of data from a variety of databases from SQL, NoSQL, Hadoop, Neo4j, etc.
                                • +
                                • Independent ability to review the data quality and data definitions, and perform data cleansing and data management tasks
                                • +
                                • Experience working in a multi-disciplinary team to tackle structured or unstructured data processing problems across a diverse range of industries
                                • +
                                • Strong ability to use Python and other packages such as Pandas and NumPy for data analysis and cleansing tasks
                                • +
                                • Some experience with visualization tools (Tableau, PowerBI, QlikView, etc.)
                                • +
                                • Basic understanding of Data Warehousing and Data Modeling.
                                • +
                                • Experience or knowledge in one major cloud service: AWS, MS Azure and GCP.
                                • +
                                +

                                Keys to your success:

                                +
                                  +
                                • Ability to explain data and analytics concepts to non-technical team members.
                                • +
                                • Ability to apply data and analytics concepts to business problems.
                                • +
                                • Ability to understand and explain business value of data and analytics concepts.
                                • +
                                • Knowledge of machine learning to collaborate with the team on ML projects
                                • +
                                • Experience in visual exploration to perform data discovery and highlight insights
                                • +
                                • Knowledge of how specific visual components drive usability and understanding
                                • +
                                • A knack at telling a story with purpose. Strong facilitation and collaboration abilities to conduct discussions and workshop with engineers and business analyst to advocate for positive user experience and recommend potential solutions to identified problems
                                • +
                                +

                                To apply:

                                +

                                +

                                Please apply directly to KPMG at kpmg.ca/careers

                                +

                                +

                                Applications close on January 17th, 2023 at 11:59 PM ET.

                                +

                                +

                                Our online application system will allow you to include up to five documents without losing your formatting. Applications can be addressed to Hiring Manager and must include a cover letter, resume and an electronic copy of your most recent transcript. If you do not have access to an electronic copy of your transcript, we ask that you attach a screenshot of your grades from your school’s website. In the application questionnaire, you’ll be able to indicate your preference for position type and office location. For an easy application process, please PDF all documents into one PDF file.

                                +


                                If you experience any difficulties, please contact ca-fmadvisoryrecruitment@kpmg.ca.

                                +

                                +

                                KPMG individuals Deliver Impact | Seek Growth | Inspire Trust and understand that a diverse workforce enables us to deepen relationships and strengthen our business.

                                +

                                +

                                Providing you with the support you need to be at your best

                                +

                                +

                                +

                                +

                                For more information about KPMG in Canada’s Benefits and well-being, click here.

                                +


                                Our Values, The KPMG Way

                                +

                                Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                +

                                +

                                KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                                +

                                +

                                For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

                                +

                                +

                                If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact us at cafmcdnhrsthotline@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778.

                                +

                                +

                                ",,https://careers.kpmg.ca/students/jobs/18648?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2023-01-19T21:12:00.000Z,False,0,25,62,https://talenthub.vectorinstitute.ai/jobs/178993405-data-scientist-intern-co-op-lighthouse-canada-at-kpmg,https://careers.kpmg.ca/students/jobs/18648?lang=en-us,expired,2022-12-19T17:26:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Internship/Co-op,Bachelors Degree,New Posting, +bdc0e8f7-29da-4aee-a381-b376af80d295,179960454,KPMG,"Risk Consultant (Full Time, New Grad), Forensic Data Analytics",on_site,"Toronto, Canada",2022-12-22T17:26:07.091Z,"

                                Overview

                                +

                                At KPMG, you’ll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world.

                                +

                                +

                                Do work that matters, supported by a community that values difference and cares about you. Gain learning that’ll last you a lifetime and be recognized for the impact you make. With a focus on encouraging employees to come as they are, KPMG provides its employees with a variety of unique tools and support systems that ensure they thrive and make their mark in their career and in their communities

                                +

                                +

                                About KPMG Forensic:

                                +

                                +

                                Using cutting-edge technology and methodologies, KPMG Forensic professionals help clients to manage the risks of money laundering, sanctions, fraud, misconduct, and regulatory non-compliance; maintain organizational integrity; manage reputational risk; address and simplify issues related to litigation (including avoidance); and limit financial exposure to loss. We help uncover the facts and support in creating clarity when people and organizations do not agree, or where financial and business behavior does not comply with expectations. Our professionals can offer support to help our clients investigate allegations of litigation support, financial crime, fraud and misconduct, enhance their financial crime programs, provide analytical services, and help meet regulatory requirements.

                                +

                                +

                                KPMG Forensic is a core part of KPMG’s Risk Consulting practice, which helps clients to improve risk intelligence and decision making, protect financial and reputational assets, and enhance business value through a range of trusted, digitally powered, and forward-thinking solutions for navigating business risks.

                                +

                                +

                                KPMG's Forensic Data Analytics team has an exciting opportunity for new grads to join our team full time in 2023.

                                +


                                What you will do

                                +

                                With KPMG Forensic, in this highly specialized group you will have a unique opportunity to be exposed to a fast-paced specialization that will allow you to combine your deep analytical and mathematical knowledge with forensic and investigative skills and leverage data analytic tools and techniques. The variety of assignments will provide you with the opportunity to gain exposure to many interesting and challenging situations. As KPMG is committed to capability development and continuous learning, this role provides an exceptional opportunity for both formal and hands-on training.

                                +

                                +

                                You will assist in financial crime analytics, investigations, quantification of damages, fraud risk management, litigation support, data analytics support, insurance claims quantification, regulatory compliance, and similar assignments in both the public and private sector, with a focus on learning the required skills and knowledge to progress in this dynamic and growing specialization.

                                +

                                +

                                This role includes but is not limited to:

                                +
                                  +
                                • Assist clients such as financial institutions, FinTechs, and Cryptocurrency organizations to build, optimize, transform, validate, and enhance their financial crimes technology solutions
                                • +
                                • Help clients adapt existing technology to meet changing operational requirements with Anti-Money Laundering (AML) and Fraud detection compliance systems
                                • +
                                • Performance of and assistance in project tasks, including for example: financial analysis, document review, interviews, leveraging data analytics tools and techniques, report and internal working paper preparation, and file organization and administration,
                                • +
                                • Assisting in client/engagement acceptance
                                • +
                                • Assisting with the development of engagement and project plans
                                • +
                                • Performance of and assistance in project tasks, including for example: financial analysis, document review, interviews, leveraging data analytics tools and techniques, report and internal working paper preparation, and file organization and administration,
                                • +
                                • Participating in marketing and business development activities,
                                • +
                                • Sharing in the administrative tasks related to the operation of KPMG Forensic
                                • +
                                +

                                +

                                To learn more about the service line, please click here: KPMG Forensic Services.

                                +

                                +


                                What you bring to the role

                                +

                                You’re a highly motivated student who strives for excellence, innovation and collaboration. You’re passionate about being involved in your local community and university and have a proven ability to achieve personal and professional success while juggling competing priorities and deadlines. You have a strong academic record and are committed to achieving your learning advanced analytical techniques.

                                +

                                +

                                Keys to your success:

                                +
                                  +
                                • Recently completed a bachelor's degree from an accredited college/university in a technology or quantitative oriented field such as Computer Science, Engineering, Math, Statistics, Data Analytics, Applied Intelligence or Finance
                                • +
                                • Strong relationship-building skills that will enable you to easily interact with clients, colleagues, and the wider community.
                                • +
                                • A commitment to continual learning – developing new skills, taking on new responsibilities and broadening your knowledge through research.
                                • +
                                • The ability to provide crucial consultation and analysis for the variety of clients you will serve.
                                • +
                                • Excellent written communication skills; able to demonstrate a strong business acumen, as well as an innovation-driven and a solution-oriented mindset.
                                • +
                                • Beneficial software/programming languages include but are not limited to Databases (SQL Server, Oracle, Teradata, MongoDB, Spark), Modelling & Analytics (Python, R, SAS, SPSS), Business Intelligence (Tableau, SpotFire, Alteryx, QlikView), Microsoft Access, and Visual Basic
                                • +
                                +

                                To apply:

                                +

                                +

                                Please apply directly to KPMG at kpmg.ca/careers

                                +

                                +

                                Applications close on January 17th, 2023 at 11:59 PM ET.

                                +

                                +

                                Our online application system will allow you to include up to five documents without losing your formatting. Applications can be addressed to Hiring Manager and must include a cover letter, resume and an electronic copy of your most recent transcript. If you do not have access to an electronic copy of your transcript, we ask that you attach a screenshot of your grades from your school’s website. In the application questionnaire, you’ll be able to indicate your preference for position type and office location. For an easy application process, please PDF all documents into one PDF file.

                                +


                                If you experience any difficulties, please contact ca-fmadvisoryrecruitment@kpmg.ca.

                                +

                                +

                                KPMG individuals Deliver Impact | Seek Growth | Inspire Trust and understand that a diverse workforce enables us to deepen relationships and strengthen our business.

                                +

                                +

                                Providing you with the support you need to be at your best

                                +

                                +

                                +

                                +

                                For more information about KPMG in Canada’s Benefits and well-being, click here.

                                +


                                Our Values, The KPMG Way

                                +

                                Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

                                +

                                +

                                KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice. For more information about Inclusion, Diversity & Equity in Recruitment, please click here.

                                +

                                +

                                For general recruitment-related inquiries, please contact the HR Delivery Centre at cafmcdnhrsthotline@kpmg.ca.

                                +

                                +

                                If you have a question about accessible employment at KPMG, or to begin a confidential conversation about your individual accessibility or accommodation needs through the recruitment process, we encourage you to contact us at cafmcdnhrsthotline@kpmg.ca or phone: 416-777-8002 or toll free 1-888-466-4778.

                                +

                                +

                                ",,https://careers.kpmg.ca/students/jobs/18765?lang=en-us,info@kpmg.com,https://home.kpmg/ca/en/home/careers.html,,,2023-01-19T21:11:00.000Z,False,0,11,36,https://talenthub.vectorinstitute.ai/jobs/179960454-risk-consultant-full-time-new-grad-forensic-data-analytics-at-kpmg,https://careers.kpmg.ca/students/jobs/18765?lang=en-us,expired,2022-12-22T17:26:00.000Z,import-xml-feed:KPMG-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Entry Level,Bachelors Degree,New Posting, +6580c62f-d92b-403c-a1dc-a287d81d0b30,188133655,Scotiabank,Velocity - Treasury Internship/Co-op - Summer 2023,on_site,Canada : Ontario : Toronto,2023-01-18T17:22:04.815Z,"

                                +

                                +

                                +

                                +

                                Requisition ID: 169656

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                +

                                Term: May - August 2023

                                +

                                Application Deadline: 01/23/2023

                                +

                                +

                                There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                                +

                                +

                                The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

                                +

                                +

                                Is this role right for you? In this role, you will:

                                +
                                • Conduct reviews to ensure compliance with regulatory requirements.
                                • Assist with reviewing and enforcing policies and procedures.
                                • Provide support to various teams within Group Treasury.
                                • Attend meetings with key stakeholders and leadership.
                                • Undertake projects as required.
                                • Review files for forecasting to ensure consistency.
                                • Prepare data and work with data analytics.
                                • +
                                +

                                +

                                Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                +
                                • You are currently enrolled in post-secondary education.
                                • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                                • You enjoy being involved in extracurricular activities such as conferences, clubs, and competitions.
                                • You are a highly self-motivated individual with strong time-management skills.
                                • You have an analytical mindset and investigative abilities.
                                • You can lead high volume, time sensitive projects.
                                • You have strong written and verbal communication skills.
                                • You are proficient in Microsoft Office – particularly Excel, Word, and PowerPoint.
                                • Understanding of Capital Markets products is considered an asset.
                                • Understanding of PowerBI, VBA, SAS, SQL or Tableau is considered an asset.
                                • Ability to code in Python is also considered an asset.
                                • +
                                +

                                +

                                What’s in it for you?

                                +
                                • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                                • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                                • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                                • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                                • +
                                +

                                +

                                How do I apply?

                                +

                                For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationshipsover resumes and are focused on learning about who you are and what youre interested in to uncover your true potential.Instead,we ask that as part of your application you complete the below:

                                +

                                +
                                1. Complete your PLUM Profile here and save as a screenshot.
                                2. +
                                +
                                1. Complete a short one-way video interview here.
                                2. +
                                +
                                1. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
                                2. +
                                +

                                +

                                *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                +

                                +

                                +

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Treasury-InternshipCo-op-Summer-2023-ON/566051117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-20T17:27:05.530Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/188133655-velocity-treasury-internship-co-op-summer-2023-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Treasury-InternshipCo-op-Summer-2023-ON/566051117/,expired,2023-01-18T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +a73333e6-a1f9-4044-ad0a-98b7ac8305ea,179960335,TD Bank Group,Data Scientist,on_site,"Toronto, ON",2022-12-22T17:24:04.985Z,"

                                Company Overview

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                @@ -337627,40 +345103,64 @@ f0a803d1-a8d6-4631-9e4a-7b087eb93f0c,167454774,TD Bank Group,Sr. Data Engineer,o

                                Department Overview

                                -

                                Business Information Management (BIM) at TD is part of a creative, enterprise-wide data and analytics ecosystem. Roles in BIM are highly professional and valued, specialized yet inter-connected and focused on making the availability of business information to designers, developers and decision-makers a priority, all with a united purpose to serve customers and continually build a better bank.

                                -

                                We’re looking for analytical and agile professionals who can merge and translate data into technology and business information, serving today’s business needs and setting in motion TD’s longer-term goals and strategic objectives.

                                -

                                If you get data, its power and potential, we think you’ll love working at TD, where data knows no bounds and where your professional expertise will help to drive the business forward and take your own career to new heights.

                                +

                                What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                                +

                                As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                                +

                                TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                                Job Description

                                -

                                Enjoy partnering with colleagues and directing data traffic? In this advanced professional role, you’ll work both independently and within teams as a senior lead analyst. Colleagues and business partners will look to you to manage and direct activities related to analysis, design and support of business data management solutions, including larger projects.

                                -

                                As a Senior Business Information Management Analyst, you will:

                                -

                                · Be the expert-level team analyst, considered an authority with in-depth knowledge and experience in your field of specialty as well as working knowledge of broader related areas

                                -

                                · Lead projects of moderate to complex risk and resource requirements; may lead end-to-end processes or functional programs

                                -

                                · Analyze and understand business and data requirements to develop complete business solutions (e.g. analysis of data models, entity relationship diagrams, data lifecycle management, governance, lineage, metadata and reporting elements)

                                -

                                · Develop business requirements; design and implement complex business data information management frameworks

                                -

                                · Apply automation and innovation on data platforms and on new development projects / initiatives

                                -

                                · Conduct a range of data analyses, demonstrating your in-depth experience with very large datasets and big data technologies; assessing business information-related data requirements aligned to business needs and for specific data platforms, applications systems and servers

                                -

                                · Partner and collaborate with business and technology partners to resolve data / application issues and ensure requirements delivery

                                -

                                · Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality and innovation and, ensure timely communication of issues/points of interest

                                +

                                Delivery

                                +
                                  +
                                • Broad technical skills in all facets of data science: advanced analytics, statistical modelling, machine learning & data engineering
                                • +
                                • Build complex statistical models that learn from and scale to petabytes of data.
                                • +
                                • Parse vast data, identify needs and analytics trends, employs industry leading techniques and theories to improve business practices across the enterprise
                                • +
                                • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core deliverables
                                • +
                                • Accountable to lead & deliver complex, Agile, cross-functional projects that range widely in design, size, scale, scope and techniques
                                • +
                                • Self-directed with the ability to progress strategic opportunities in down times and effectively prioritize in busy times
                                • +
                                +

                                Expertise & Leadership

                                +
                                  +
                                • Analytical thought leadership and stay current on developments in data mining and the application of data science
                                • +
                                • Serve as an authority on a given business domain and provide business expertise to place context around analytics discovery
                                • +
                                • A champion in the D&A community for TD’s platforms and strategies, scanning for cutting edge solutions, and proactively identifying opportunities to advance tools, techniques and approaches
                                • +
                                • Communication and Stakeholder Management
                                • +
                                • Work closely with stakeholders to identify opportunities, implement solutions, and serve as an ambassador for data science across the enterprise
                                • +
                                • Advanced communication, business acumen and stakeholder management competencies
                                • +
                                • Collaborate with support functions such as risk, technology, model validation, OCDO etc. to increase the velocity of data science by enhancing policies, protocols & procedures within TD’s risk appetite
                                • +
                                • Exceptional collaborator in a high-interaction environment
                                • +
                                • Foresee needs from business partners to prescribe effective solutions
                                • +
                                • Leverage empirical evidence and facts to influence/support decision making
                                • +
                                • Collaborate with business partners to inform analytics output, support strategic planning, and prioritize key initiatives
                                • +
                                • Take ownership of team targets and strategies such as value generation and contribute to the overall management and culture of the team
                                • +

                                Requirements

                                -

                                What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                -

                                · Undergraduate degree or technical certificate in Computer Science, Computer Engineering or related field

                                -

                                · Five (5) or more years relevant experience from a business administration, statistical, mathematical, scientific or financial background

                                -

                                · Proficient Knowledge in data management tools such as SQL Server, SSIS

                                -

                                · Experience in data modeling and knowledge in data warehousing methodologies

                                -

                                · Adept in SQL / T-SQL, and performance tuning

                                -

                                · Extensive ETL experience

                                -

                                · Experience in cloud computing (Azure) and Big Data would be an asset

                                -

                                · Advanced analytical and problem-solving skills

                                -

                                · In-depth knowledge of competitor and market trends

                                -

                                · Proficient to analyze, organize and prioritize work while meeting multiple deadlines

                                -

                                · Strong ability to work collaboratively and independently, communicate effectively (both speaking and writing), follow instructions/direction, and help building relationships across teams and functions

                                -

                                · Act as a brand champion for our business area / function and TD, both internally and externally

                                +What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                +
                                  +
                                • Ability to translate business requirements into technical and analytical tasks
                                • +
                                • Demonstrated track record of leading major data science projects [or demonstrate ability]
                                • +
                                • Technical understanding and critical thinking to challenge status quo
                                • +
                                • Strong problem-solving skills, mathematical and data literacy
                                • +
                                • Flexibility to adapt and run with contending priorities and the ability to shift focus as dynamic business needs evolve
                                • +
                                • Strong interpersonal and communication skills, both written and verbal ability to tell a compelling story which can be consumed by business partners/executives
                                • +
                                • Demonstrated experience in data transformation and data manipulation.
                                • +
                                • Aspirations to build in-depth industry and retail banking knowledge including current trends in data, analytics and technology
                                • +
                                • Master’s degree or PhD in relevant fields; Mathematics, Physics, Biotech, Computer Engineering, Electrical Engineering, Geomatics
                                • +
                                • Expert proficiency with industry data tools; python/Ruby, R, SQL and Scala, cloud architecture
                                • +
                                • Strong understanding of data manipulation and visualization techniques, with preference to Esri – ArcGIS, Alteryx, SQL and Excel
                                • +
                                • Experience with big data tools, such as SCALA, SPARK, HADOOP, HDFS, HIVE, etc.
                                • +
                                • Experience with machine learning including supervised and unsupervised models.
                                • +
                                +
                                +

                                +

                                Additional Information

                                +
                                +#datascientist #LI-Hybrid

                                +

                                Locations:
                                Toronto
                                Montreal
                                Markham
                                London
                                Ottawa

                                +

                                * L7- L10

                                Hours

                                @@ -337669,1130 +345169,1007 @@ f0a803d1-a8d6-4631-9e4a-7b087eb93f0c,167454774,TD Bank Group,Sr. Data Engineer,o

                                Inclusiveness

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                -
                                ",,https://jobs.td.com/en-CA/jobs/16986711/sr-data-engineer-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-11-17T17:29:03.786Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/167454774-sr-data-engineer-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16986711/sr-data-engineer-toronto-ca/,expired,2022-11-15T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -7781bb6c-8ac7-4118-93cd-63bc266d2c83,164063556,BMO Financial Group,Model Ops & Data Engineer,on_site,"Toronto, ON, Canada",2022-11-07T17:12:03.294Z,"
                                -

                                Address:

                                100 King Street West

                                -

                                -

                                Job Family Group:

                                Data Analytics & Reporting

                                -

                                -

                                -

                                -

                                Who We Are:

                                -

                                BMO’s North American Commercial Banking serves clients across North America and commercial bankers are trusted advisors and partners to their clients, delivering sector and industry expertise, local presence and a full suite of commercial products and services.

                                -

                                -

                                BMO North American Commercial Bank is looking to build out a data engineering and model ops team.

                                -

                                -

                                What You’ll Do

                                -

                                You\'ll consult with data scientists, the data and analytics teams, technology partners, business partners to create pipelines, governance and solutions that impact a variety of model ops, data and insight challenges across the North American Commercial Bank. You’ll wrap model ops and analytics in clean, repeatable, and automated processes. You’ll play a critical role in elevating business stakeholders’ confidence in our data. More specifically you will:

                                -
                                  -
                                • Locate data sources and demystify data contents
                                • -
                                • Become the expert on the data sourced and used in the ML operations
                                • -
                                • Establish robust pipelines for data used in the execution of ML and Analytics programs
                                • -
                                • Ensure production behavioral scores and business metrics values align with expectations
                                • -
                                • Identify and explain deviations in metrics proactively. Set in motion paths for resolution
                                • -
                                • Clarify key business metrics. Code and implement these metrics at scale
                                • -
                                • Prepare modeling master data sets in collaboration with data scientists
                                • -
                                • Create insights and visualizations which answer high impact business questions
                                • -
                                • Prepare model validation documentation
                                • -
                                -

                                -

                                Qualifications

                                -
                                  -
                                • Consultative approach engaging internal partners (e.g. data science, business, technology) desired
                                • -
                                • Experience impacting business transformation with data
                                • -
                                • Proven experience building data pipelines in production for advanced analytics use cases
                                • -
                                • Practical knowledge of software engineering concepts and best practices, inc. DevOps, DataOps, and MLOps
                                • -
                                • Proven ability to write clean, maintainable, scalable, and production ready code
                                • -
                                • Practical knowledge of software engineering concepts and best practices, inc. DevOps, DataOps, and MLOps
                                • -
                                • Strong proficiency with SQL and its variations among different databases
                                • -
                                • Skilled at optimizing large and complicated SQL statements
                                • -
                                • 2+ years production development experience
                                • -
                                • 3+ years of relevant work experience as a Data Operations Engineer
                                • -
                                • 3+ years of hands on experience in building production ETL/ELT solutions for large scale data pipelines
                                • -
                                • Familiarity with distributed computing frameworks (e.g. Spark, Dask), and analytics libraries (e.g. pandas, NumPy, matplotlib)
                                • -
                                • Familiarity with cloud platforms (e.g. AWS, Azure, GCP)
                                • -
                                • Degree in computer science, engineering, mathematics, or equivalent work experience
                                • -
                                -

                                -

                                -

                                We’re here to help

                                -

                                -

                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                -

                                -

                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                -

                                -

                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                -

                                -

                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                -

                                -

                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                -
                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Model-Ops---Data-Engineer_R220029828?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://bmocareers.com/,,,2022-11-17T17:17:03.728Z,False,0,1,12,https://talenthub.vectorinstitute.ai/jobs/164063556-model-ops-data-engineer-at-bmo-financial-group,,expired,2022-11-07T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -d3cdb0c0-450c-459a-8177-1edc07624849,164063747,Thomson Reuters,Senior Data Engineer – News Technology,on_site,"Toronto, ON, Canada",2022-11-07T17:19:03.476Z,"
                                -

                                Sr. Data Engineer, News Technology

                                -

                                The Reuters News technology team supports Reuters’ journalists throughout the News production lifecycle - from discovery of newsworthy events to researching the story to publication, and all that at the speed of light in an increasingly competitive landscape. We are working to improve Reuters editorial news production and automation, and we are seeking an experienced and motivated engineer in Toronto, to help deliver this game-changing platform. Do you want to learn what drives news, and learn about the depth and breadth of Thomson Reuters\' content? Come join us!

                                -

                                About the Role

                                -

                                As a Sr. Data Engineer joining our team, you will be responsible to:

                                -
                                  -
                                • -Design and Develop data warehousing functionality including the use and management of Snowflake data warehouse, pipelines and monitoring, in partnership with Data Analysts and Architects.
                                • -
                                • -Design and Develop migration of data warehouses and reports from SQL Server ecosystem to Snowflake and PowerBI.
                                • -
                                • -Innovate with new approaches to meeting data management requirements for Reuters Data Platform. Make recommendations about platform adoption, including technology integrations, application servers, libraries, and frameworks.
                                • -
                                • -Partner across the company with analytics teams, engineering managers, architecture teams and data scientists to design and agree on solutions that meet business requirements.
                                • -
                                • -Effectively communicate and liaise with other data management teams embedded across the organization and data consumers in data science and business analytic groups.
                                • -
                                -

                                About You

                                -

                                You’re a fit for the role of Sr. Data Engineer if your background includes:

                                -
                                  -
                                • Minimum bachelor’s degree in computer science and engineering or related field of study, or equivalent experience
                                • -
                                • 5+ yrs in database/data warehousing/ETL/BI software stack development.
                                • -
                                • In-depth experience with:
                                  - Data warehousing, analysis and reporting technologies like SQL Server Analysis Services, Reporting Services, Tableau, Power BI, Qlik.
                                  - ETL looks like AWS Glue, integrate.io, Talend, SQL Server Integration Services
                                  - Relational databases (SQL Server, PostgreSQL, Oracle)
                                • -
                                -


                                Desired:

                                -
                                  -
                                • Hands-on experience working with AWS ecosystem
                                • -
                                • Hands-on experience with modern data warehouses like Snowflake, Redshift, Google BigQuery.
                                • -
                                -

                                What’s in it For You?

                                -
                                  -
                                • -COVID-19 Response: Currently, as part of our COVID-19 a majority of our employees are working remotely and following local COVID-19 bylaws and guidelines, with the majority of our offices planning to embrace a hybrid work environment consisting of in-office and remote work in 2022.
                                • -
                                • -Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more
                                • -
                                • -Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: work form anywhere (in country); caregiver paid time off, bereavement leave; company-wide Mental Health Day Off; Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing
                                • -
                                • -Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking
                                • -
                                • -Social Impact: Eight employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact
                                • -
                                • -Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
                                • -
                                -

                                -

                                #LI-SS2

                                -

                                -

                                -

                                Canada COVID-19 Vaccination Requirement

                                -

                                -

                                Individuals employed in this position are required to be fully vaccinated against COVID-19 and must complete an attestation to that effect in their first week as a condition of hire. Thomson Reuters will provide reasonable accommodation to individuals who cannot be vaccinated due to disability or any other ground protected by the applicable human rights legislation.

                                -

                                -

                                Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                -

                                We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                -

                                -

                                Accessibility

                                -

                                -

                                As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                -

                                -

                                We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                -

                                -

                                Protect yourself from fraudulent job postings click here to know more.

                                -

                                -

                                More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                -
                                ",,https://thomsonreuters.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/CAN-TORONTO-333-Bay-Street/Senior-Data-Engineer---News-Technology_JREQ159796?SourceID-APPLICANT_SOURCE-3-713,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2022-11-15T17:24:02.537Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/164063747-senior-data-engineer-news-technology-at-thomson-reuters,,expired,2022-11-07T17:19:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Masters Degree,New Posting, -20526af9-1b48-49b6-a4e3-103a622aa558,156497853,TELUS,Senior Data Scientist - C360 Insights Team,on_site,"Ontario, Canada",2022-10-13T17:28:13.951Z,"
                                -
                                -

                                Description

                                -
                                +
                                ",,https://jobs.td.com/en-CA/jobs/15700638/data-scientist-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-20T17:29:04.993Z,False,0,6,29,https://talenthub.vectorinstitute.ai/jobs/179960335-data-scientist-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15700638/data-scientist-toronto-ca/,expired,2022-12-22T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +660e422b-38f0-4ef7-a007-c192a06952f9,188133649,Scotiabank,"Velocity - Global Risk Management Intern, Summer 2023 (for Students Graduating Prior to Summer 2024)",on_site,Canada : Ontario : Toronto,2023-01-18T17:22:04.478Z,"

                                -

                                Join our team

                                -

                                The C360 Insights Team is part of the Campaign Management & Data Science group that supports one to one Marketing Campaigns for TELUS’ Mobility Customers. Our team is responsible for providing advanced analytics solutions to inform marketing campaigns that help deliver best in class customer experiences and business results for the organization. We develop machine learning and AI solutions leveraging the latest technology and Big Data assets that TELUS maintains.

                                -

                                We are a team of highly skilled and experienced data analytics professionals with diverse industry experience who collaborate to create value for our customers, organization and team.

                                +

                                Requisition ID: 169721

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                Always wanted to work in a high performance team that strives to continuously grow and be part of a culture that embraces creativity, collaboration, diversity and a whole lot of fun? If so, we’d love to talk with you!

                                -

                                Here’s the impact you’ll make and what we’ll accomplish together

                                +

                                Term: May-August 2023

                                +

                                Application Deadline: 01/23/2023

                                -

                                As a Data Scientist, reporting to the Manager C360 Insights Team, you will play a pivotal role in enabling TELUS’ Marketing teams to achieve their business goals including revenue, EBITDA, churn, customer experience by developing advanced analytics solutions that support marketing strategy and campaigns.

                                +

                                There's no better way to kickstart your career than to do a co-op or internship followed by a new graduate program with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity). Once you have completed your Velocity co-op term with strong performance, we would like to invite you back after graduation to join the Activate New Graduate Development Program where you will be able to further grow your career within Global Risk Management!

                                -

                                As TELUS evolves its AI capabilities including Next Best Action engines, Customer Journey analytics solutions and transition to Cloud platforms you will be a key contributor and user of these capabilities.

                                +
                                • The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. You’ll be part of a diverse, collaborative, innovative, and high-performing team. You will receive in-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed! As a Velocity student you have access to exclusive events such as Velocity Day, Community Day, Lunch & Learns, leadership panels, and much more!
                                • +

                                -

                                You will work with a talented team of Data Scientists as well as analytics and marketing professionals to build advanced analytics solutions and derive business value from them.

                                +
                                • The Activate New Graduate Development Program will provide you with experiences that build a foundation for you to become a future leader, accelerating your career journey from day one. As an Associate in the Activate, GRM stream you will spend 18-months rotating to pre-determined areas that will challenge you. You’ll gain a well-rounded view of the entire organization, while gaining practical experience, focused on high-impact projects within your business line.
                                • +

                                -

                                Here\'s how

                                -
                                  -
                                • Contribute to the development of teams’ deliverables like Next Best Action engines, Propensity Models, Natural Language Processing models, Near Real time Triggers, Customer Journey Analytics, Data Dashboards that inform marketing strategy and campaigns leveraging PySPARK, Python, SQL, etc
                                • -
                                • Own the end-to-end analysis including pre-analysis, trigger detection, predictive modeling and post campaign analysis
                                • -
                                • Present customer insights to cross-functional business partners including Marketing, Channel, Products & Services, Customer Experience and Digital
                                • -
                                • Support the transition of TELUS’ data assets and analytics machine learning solutions to Google Cloud Platform ensuring data security and privacy compliance
                                • -
                                • Maintain solid and updated knowledge in the domain of AI/ machine learning to continuously evolve TELUS’s AI assets while collaborating with and adding value to your fellow data science community
                                • -
                                • Work collaboratively with business partners teams to understand, compartmentalize complex and ambiguous business issues into crisp and manageable pieces
                                • +

                                  What is Global Risk Management?

                                  +

                                  +

                                  Our Global Risk Management teams are highly diverse groups, with a variety of streams that filter into various Risk areas. These different streams include Market Risk, Business Banking Credit Risk, Enterprise Risk, Financial Crimes Risk Management (AML), and Retail Risk, where there are significant opportunities to gain a breadth of exposure within your focus area. Successful candidates will bring strong technical skills relevant to their chosen area, in addition to excellent communication and time management skills. Some roles like Enterprise Risk, for example, will carry a higher focus on risk modelling and analytics, while others like Market Risk will be tied to capital markets activities. If this sounds interesting and exciting to you, we encourage you to research the area you’re most passionate about in the space of Risk Management and apply today!

                                  +

                                  +

                                  About the GRM, Business Banking Credit Risk Stream:

                                  +

                                  The Business Banking Credit Risk teams provide credit adjudication and risk oversight for an assigned portfolio within Global Banking & Markets (GBM), Canadian Commercial Banking (CCB) and International Banking (IB) by ensuring that the portfolio is maintained in sound condition with the Bank’s current credit policy.

                                  +

                                  +

                                  About the GRM, Enterprise Risk Stream:

                                  +

                                  GRM’s Enterprise Team provide 2nd line governance and oversight to our business lines and support function partners in managing their non-financial risks across many categories. The risk domains you’ll directly cover are non-financial risks, which would include Operational Risk, Third Party Risk, Model Risk and Environmental Risk where the team drives methodology and provides 2nd line oversight and challenge.

                                  +

                                  +

                                  About the GRM, Financial Crimes Risk Stream:

                                  +

                                  The Financial Crimes Risk Management (FCRM) Team provides oversight over the banks Anti-Money Laundering, Anti-Terrorist Financing, and sanctions compliance program, including design and effective implementation. The program is designed to mitigate the risks of Scotiabank products or services being used for prohibited activities; and ensure compliance with the laws and regulations applicable to the bank.

                                  +

                                  +

                                  About the GRM, Market Risk Stream:

                                  +

                                  The Market Risk stream provides risk oversight for the trading and treasury portfolio in the Bank. Working in close collaboration with the business line, our Market Risk teams ensure market risks are understood and controlled. This involves understanding risk/reward trade offs and working with front office staff to help facilitate business success. Across the team, roles range from quantitative modelling to risk oversight with a strong connection to capital market dynamics.

                                  +

                                  +

                                  About the GRM, Retail Credit Risk Stream:

                                  +

                                  The Retail Credit Risk stream is comprised of multiple areas including Risk Technology, Retail Risk Secured Lending and Small Business, and Retail Risk Data and Analytics. Across these areas, teams work on data manipulation, risk technology project work, customer analytics and portfolio management all with a credit risk perspective. This includes analyzing the effectiveness of risk strategies, performing portfolio trend analysis, and pulling, summarizing, and presenting data. In each of these rotations, you will have regular interactions with senior management.

                                  +

                                  +

                                  Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                  +
                                  • You are working towards completion of an undergraduate, post-graduate certificate, MBA or Masters program in Risk Management, Finance, Economics or related discipline with an expected graduation date prior to June 2024.
                                  • You are passionate about launching your career in Risk Management through the Activate Program after graduation.
                                  • Strong analytical skills and experience with financial statement analysis, financial concepts, and accounting principles and practices.
                                  • Knowledge of Python, SQL, VBA, MS Office.
                                  • Strong verbal and written communication skills to report complex outputs and findings in a concise and comprehensive manner.
                                  • Attention to detail with a strong ability to multi-task while maintaining a high work standard.
                                  • Demonstrated flexibility in adapting to constantly changing environments.
                                  +

                                  +

                                  How do I apply?

                                  +

                                  For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are focused on learning about who you are and what you’re interested in to uncover your true potential. Instead, we ask that as part of your application you complete the below:

                                  +

                                  +
                                  1. Complete your PLUM Profile here and save as a screenshot.
                                  2. Complete a short one-way video interview here.
                                  3. Apply to the role and when the application asks for your resume, instead upload the screenshot of your PLUM Profile.
                                  4. +

                                  +

                                  *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                  +

                                  Location(s): Canada : Ontario : Toronto

                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Global-Risk-Management-Intern%2C-Summer-2023-%28for-Students-Graduating-Prior-to-Summer-2024%29-ON/566068217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-20T17:27:05.530Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/188133649-velocity-global-risk-management-intern-summer-2023-for-students-graduating-prior-to-summer-2024-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Global-Risk-Management-Intern%2C-Summer-2023-%28for-Students-Graduating-Prior-to-Summer-2024%29-ON/566068217/,expired,2023-01-18T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +ce971581-17e4-4d95-88b9-c519a37a3116,188134080,TD Bank Group,"Manager, Operations Analytics & Insights",on_site,"Toronto, ON",2023-01-18T17:24:04.678Z,"
                                +

                                Company Overview

                                +
                                +

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                +

                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                -
                                -
                                -

                                Qualifications

                                -
                                -

                                -

                                Must haves

                                -

                                +

                                +

                                Department Overview

                                +

                                TD Direct Investing is Canada’s largest direct investing brokerage, empowering over 1 million self-directed investors and traders with its full spectrum of powerful solutions and innovative tools to manage their investments with ease and confidence. As a member of the TD Direct Investing Product, Strategy & National Office team, you have the opportunity to work with results-oriented, curious, innovative, and adaptable people who share your passion to help our clients, and one another, to succeed.

                                +

                                +

                                Job Description

                                +
                                +

                                Job Description

                                +

                                Reporting to Senior Manager, Strategic Insights & Analysis, this role will help drive and support TD Direct Investing’s client campaigns and client pricing in analytical, process development, and execution capacities. This role will primarily focus on providing data-driven insights and decision support to various business initiatives, acquiring data in support of such work, as well as helping to develop and execute robust processes and procedures.
                                Key accountabilities include:

                                  -
                                • Technical Expertise
                                    -
                                  • Extensive Hands-on and industry experience in Python, SPARK, SQL and other data query language on UNIX / PC and comfortable working with very large data sets and databases
                                  • -
                                  • Extensive Hands-on experience with a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
                                  • -
                                  • Knowledge of advanced statistical and data mining techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with business applications
                                  • -
                                  • Experience with Data Visualization tools like Domo/Tableau
                                  • -
                                  • Strong Quantitative, analytical and problem solving skills
                                  • -
                                  • 8+ years of progressive and relevant work experience
                                  • -
                                  -
                                • -
                                • Business Orientation
                                    -
                                  • Good business acumen, relationship management and influencing without authority skills
                                  • -
                                  • Ability to provide actionable recommendations based on data analysis
                                  • -
                                  • Strong Ability to prioritize tasks from multiple stakeholders and meet deadlines with quality deliverables
                                  • -
                                  • Strong written, oral, communications, presentation skills and knowledge of Microsoft office/Google suite
                                  • -
                                  -
                                • -
                                • Education
                                  • Masters/PhD degree in Computer Science Engineering/ Programming/ Statistics/Analytics
                                  -
                                • +
                                • Oversee the development and execution of DI campaigns/offer fulfillment processes, including campaign payout calculation and management of client and colleague campaign-related inquires to ensure timely response, collaborating with business partners as needed
                                • +
                                • Oversee the development and delivery of campaign/offer analysis and reporting to provide management and executive level audiences with a view on the effectiveness of DI’s client acquisition campaigns
                                • +
                                • Partner with the DI Client Acquisition Team on various campaign design and setup activities; support analysis and forecasting of campaign acquisition volumes and costs
                                • +
                                • Oversee BAU bespoke client interest rate and commission pricing operation and related control/monitoring activities
                                • +
                                • Collaborate with partners in Data & Analytics teams across Wealth, Marketing, and Phone Channel to provide day-to-day support and delivery of analytics and insights
                                • +
                                • Lead the preparation of structured analyses relate to the above topics, often in ambiguous and time-sensitive circumstances, and be able to generate and summarize value-adding insights into coherent, concise executive communication
                                • +
                                • Apply expertise in querying various DI and pan-Wealth data-sources to obtain relevant data to enable deeper analysis and the generation of value-added insights
                                • +
                                • Lead the development, execution, and control of business KPI analysis and reporting, campaign fulfillment, and non-standard pricing processes
                                • +
                                • Contribute to a culture of continuous improvement (through process improvements, automation, improved documentation, etc.)
                                -

                                -

                                Great-to-haves

                                -

                                +
                                +

                                +

                                Requirements

                                +
                                +
                                ​​​​​​​Job Requirements
                                Knowledge of the wealth management industry in Canada and/or the US, ideally with familiarity or hands-on experience with self-directed investing platforms. Familiarity with TD’s Direct Investing Business and client campaigns +
                                  -
                                • Telecom industry experience
                                • -
                                • Working experience with Google Cloud Platform
                                • +
                                • Post-secondary undergraduate degree, preferably with a business/accounting, analytics, mathematics, engineering, or computer science focus
                                • +
                                • Post-undergrad work experience in business/product roles, finance/accounting, and/or analytics/data science
                                • +
                                • Experience with data extraction, manipulation, and visualization tools (e.g., SQL, Python, Alteryx, Tableau) preferred
                                • +
                                • Proficiency in Excel and PowerPoint, including experience developing business documents and executive presentations with clear, compelling communications
                                • +
                                • Ability to understand business questions and issues, think strategically, and synthesize information quickly
                                • +
                                • Ability to communicate clearly and concisely
                                • +
                                • Comfortable in operating in a dynamic, fast-paced, and sometimes ambiguous environment
                                • +
                                • Ability to independently manage deadlines while multitasking between different projects
                                -

                                -

                                Above all else we are seeking an enthusiastic ‘let’s do it’ attitude, motivation and a willingness to learn and collaborate. Please consider transferable skills, which will make you successful in this role and apply!

                                -

                                -

                                -
                                -
                                ",,https://careers.telus.com/job/Toronto-%E2%80%8BSenior-Data-Scientist-C360-Insights-Team-ON/562150417/,feed-importer@jobboard.io,,,,2022-11-16T14:08:47.623Z,False,0,5,19,https://talenthub.vectorinstitute.ai/jobs/156497853-senior-data-scientist-c360-insights-team-at-telus,,expired,2022-10-13T17:28:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,PhD,New Posting, -7e2161b7-d2cf-4f5e-9a69-f1b38286f867,156497810,Omers,Senior Data Analyst (PowerBI),on_site,"Ontario, Canada",2022-10-13T17:28:07.182Z,"
                                OMERS Products and Technology is looking for Data Analyst passionate about all sides of data analytics and eager to build a data visualizations for our pension Data Engineering team. The individual should be extremely motivated and want to constantly learn and apply new technologies. In this role, the qualified candidate is expected to drive actionable insights.

                                +

                                +

                                Hours

                                +
                                37.5
                                +

                                +

                                Inclusiveness

                                +

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                +

                                +
                                ",,https://jobs.td.com/en-CA/jobs/17467496/manager-operations-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-20T17:29:04.993Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/188134080-manager-operations-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17467496/manager-operations-analytics-insights-toronto-ca/,expired,2023-01-18T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +211edba7-d1c4-48bf-864f-41fe86586d1b,178993703,OMERS,"Student, Data & Analytics (Summer 2023, 4 Months)",on_site,"Ontario, Canada",2022-12-19T17:42:03.782Z,"
                                +

                                +

                                +

                                At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                -

                                As a member of this team, you will be responsible for:

                                +

                                We encourage continuous learning and you will be working with many skilled developers with a wealth of experience to guide you. Your work will be meaningful and help drive OMERS further into the future.

                                +

                                +

                                As a member of this team, you will be responsible for:

                                  -
                                • Interpreting data, analyze results using statistical techniques and provide regular, timely, accurate reports and dashboards
                                • +
                                • Work with financial and operational data from primary or secondary data sources
                                • Gathering business requirements and documentation following Agile Practices
                                • Work with Product Managers and Stakeholders to prioritize business data needs
                                • -
                                • Locate and define new process improvement opportunities
                                • -
                                • Enable business users to bring data-driven insights into their business decisions through reports and dashboards
                                • -
                                • Understand and communicate complex business concerns and solutions in clear and concise manner
                                • -
                                • Identify, analyze, and interpret trends or patterns in complex data sets
                                • -
                                • Filter and clean data as part of each development initiative
                                • -
                                • Develop Power BI semantic models, dashboards and reports
                                • +
                                • Assist with ad-hoc requests related to finance data analytics
                                • +
                                • Data standardization by reviewing extracts, reports, printouts, and performance indicators to identify, troubleshoot and resolve problems, including data quality, integrity issues and follow data governance policies
                                • +
                                • Work with management teams to prioritize business, analytics and information needs and understand dashboard requirements
                                • +
                                • Develop and support financial and operational reporting dashboards within Power BI
                                • +
                                • Assist with the preparation and development of reporting, presentations and various materials for discussion at the executive level
                                • +
                                • Exhibit ability to work on multiple projects simultaneously and ensure on-time delivery
                                • +
                                • Identify, define and implement opportunities for enhancing existing processes

                                -

                                To succeed in this role, you have:

                                +

                                You bring the following skills and qualifications:

                                  -
                                • Must have 5+ years of Hands on experience with Data Modeling, Power BI desktop, Power Query, Azure Data Factory and Azure SQL Server
                                • -
                                • Must have experience working with one or more programming, scripting, and analytical languages such as DAX, MDX, T-SQL, Python, PowerShell
                                • -
                                • Must have experience building semantic data modeling and publish datasets accordingly
                                • -
                                • Understanding row level, object level security rules and roles in projects and workspaces is an asset.
                                • -
                                • Experience working with Power BI external tools such as Tabular Editor, DAX studio and Vertipaq Analyzer is an asset.
                                • -
                                • Good Understanding of Data Warehouse concepts
                                • -
                                • Ability to design and build reports, dashboards, data visualizations and analytics using Power BI
                                • -
                                • Ability to write complex queries using SQL.
                                • -
                                • Proven Hands on experience with Azure DevOps deployment Pipelines.
                                • -
                                • Good Knowledge and understanding of Data Governance and Security Measures.
                                • -
                                • Experience with SSIS is an asset
                                • -
                                • Good hands on experience working with streaming data.
                                • -
                                • Have experience in Analyzing the BI needs, interpreting business user requirements and translating them into reports.
                                • -
                                • Knowledge of statistics and experience using statistical packages for analyzing datasets.
                                • -
                                • Strong analytical skills with the ability to collect, organize, analyze, and visualize the data.
                                • -
                                • Strong written and verbal communication skills
                                • -
                                • Ability to handle multiple tasks concurrently
                                • -
                                • Ability to take initiative, multi-task and work in an agile environment
                                • -
                                • A team player and motivated self-starter
                                • -
                                • Bachelor’s Degree in Computer Science, Engineering or a related technical field
                                • +
                                • Bachelor’s degree in Computer Science, Mathematics, Business, or related field
                                • +
                                • Strong academic track record combined with extra-curricular experience
                                • +
                                • Excellent programming skills including knowledge of VBA, SQL and Power BI
                                • +
                                • A creative and enquiring mind to continuously improve current processes
                                • +
                                • Self-starter and independent attitude
                                • +
                                • Strong communication skills and a desire to work in a team environment
                                • +
                                +

                                What’s in it for you:

                                +
                                  +
                                • A team that is ready to focus on your growth and development
                                • +
                                • Continuous learning across different areas of the business
                                • +
                                • Opportunity to be part of the student community at OMERS & Oxford
                                • +
                                • An orientation program to set you up for success during your work term!
                                • +
                                • Networking and educational session with different leaders across the business

                                +

                                IMPORTANT: Application Instructions

                                +

                                To ensure your application is submitted to our applicant tracking system accurately, please follow the instructions below.

                                -

                                -

                                +

                                Please include all required documents (Resume, Cover Letter, Unofficial Transcript, etc.) in one combined file. Your application may be submitted in PDF of Microsoft Word format.

                                +

                                +

                                +

                                +

                                Our story:

                                Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $121 billion in net assets as at December 31, 2021. OMERS is a jointly-sponsored pension plan, with 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                +
                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Student--Data---Analytics--Summer-2023--4-Months-_JR-4288?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-01-20T17:47:06.487Z,False,0,13,62,https://talenthub.vectorinstitute.ai/jobs/178993703-student-data-analytics-summer-2023-4-months-at-omers,,expired,2022-12-19T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +89c70200-f201-4461-a1fb-96e7243fc196,178992935,RBC,"Senior Manager, Data Insight Analytics",on_site,"Toronto, ON, Canada",2022-12-19T17:16:01.875Z,"
                                +

                                Come Work with Us!

                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                +

                                Job Title

                                Senior Manager, Data Insight Analytics

                                +

                                Job Description

                                +

                                What is the opportunity?

                                -

                                Vaccination Policy

                                +

                                Our team is the Digital Intelligence Group. We are here to help RBC build best-in-class digital products, optimize client experience, and drive business outcomes through improved use of analytics.

                                -

                                At OMERS and Oxford the office or worksite is our primary place of work. We are committed to providing work environments which promote the health, safety and well-being of all employees in accordance with public health regulation and guidance. Accordingly, employees are required to provide evidence of full vaccination or have an approved exemption.

                                -
                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Senior-Data-Analyst_JR-3169-1?q=analytics+ontario,feed-importer@jobboard.io,,,,2022-11-16T14:03:31.579Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/156497810-senior-data-analyst-powerbi-at-omers,,expired,2022-10-13T17:28:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, -77efad39-3386-42d5-8a80-5445110732a0,157319824,Layer 6,Machine Learning Engineer – Framework,on_site,"Toronto, ON, Canada",2022-10-17T15:06:50.775Z,"

                                We are looking for world-class engineers to tackle cutting-edge problems of applying Machine Learning in the real world. Join this team to develop a framework for machine learning models that have real world impact. The goal of the framework is to help our ML Scientists build robust and high performing models through providing a solid foundation and allowing for fast iteration.

                                -

                                As Machine Learning Engineer at Layer 6, you will work with ML Scientists to learn their modelling workflow, so that you can design abstractions and build components that can be combined to build high quality models. You will work with ML Platform team to make sure these models can be trained and deployed on our computing infrastructure, taking advantage of cloud technologies like Kubernetes.

                                -

                                Must-Have

                                -
                                  -
                                • Experience with building and scaling data-intensive software in Java
                                • -
                                • You value good software design and sweat over details in code and API design
                                • -
                                • Knowledge of machine learning modelling workflow
                                • -
                                • You enjoy learning new technology and also educating others
                                • -
                                • You strive to communicate clearly and with empathy
                                • -
                                • You take great personal pride in building robust and scalable software
                                • -
                                • You are highly accountable and have a strong sense of ownership
                                • -
                                • Ability to do detailed code reviews and give thoughtful feedback
                                • -
                                -

                                -

                                Nice to have

                                -
                                  -
                                • Experience building a library or a framework
                                • -
                                • Knowledge of machine learning algorithms
                                • -
                                • Experience with Kubernetes
                                • -
                                • Data analytics
                                • -
                                • Comfortable with math or statistics
                                • -
                                ",,https://layer6.ai/careers/#Machine-Learning-Engineer-8211-Framework-591,careers@layer6.ai,https://layer6.ai/careers/,,,2022-11-16T15:06:53.778Z,False,0,5,52,https://talenthub.vectorinstitute.ai/jobs/157319824-machine-learning-engineer-framework-at-layer-6,,expired,2022-10-17T15:06:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, -cd386386-0a89-4e0a-8545-66b2720598fb,109607350,Bell Canada,"Developer, Data Science, Bell Media",on_site,"Toronto, Ontario",2022-02-18T14:18:29.847Z,"

                                Req Id: 350091

                                -

                                -

                                At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content - we advance how Canadians connect with each other and the world.

                                -

                                -

                                If you’re ready to bring game-changing ideas to life and join a community that values professional growth and employee wellness, we want you on the Bell team.

                                -

                                The Bell Media team creates and delivers the best Canadian and international content across our digital media, television, radio, and out-of-home advertising platforms. We’re looking for innovative team players ready to take some of the most well-known entertainment brands in the country to the next level.

                                -

                                -

                                About the team:

                                -

                                Bell Media’s Data Science and Infrastructure team is building out the next generation of experience for customers across Digital and Linear properties. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive performance enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.

                                -

                                -

                                Bell Media’s Data Science & Infrastructure team is responsible for the management and optimization of BI systems used to analyze customer behavior, automate business insight processes, target marketing and provide insight to drive optimal business decisions.

                                -

                                -

                                We are looking for a Developer, Data Science who is highly logical, passionate, and can communicate effectively to all levels within the organization. They will report to Senior Manager, Data Science & Product Intelligence and will play a key role in developing AI/ML products across Bell Media.

                                -

                                -

                                Key Responsibilities:

                                -
                                  -
                                • Support the cycle of machine learning product development from inception to launch to monitoring
                                • -
                                • Collaborate with cross-functional, agile teams of data engineers, ML engineers, and product managers in solving business problems
                                • -
                                • Build, automate, and maintain machine learning pipelines for training machine learning models cloud systems
                                • -
                                • Use a production-first mindset to consult on project feasibility through prototyping with respect to performance, time, quality and cost
                                • -
                                -

                                -

                                Minimum Qualifications:

                                -
                                  -
                                • Proven track record of continuous learning
                                • -
                                • Intermediate knowledge of ML models: deep learning, reinforcement learning, NLP, and others
                                • -
                                • 3-5+ Years Python for data science experience
                                • -
                                • Hands-on experience with popular AI/ML frameworks
                                • -
                                • Intermediate Python development skills with solid understanding of code design, algorithms, and data Structures
                                • -
                                • Experience with SQL and database systems
                                • -
                                -

                                -

                                Preferred Qualifications:

                                -
                                  -
                                • Degree in a discipline such as: Data Science, applied math, applied science / engineering, economics/econometrics, management science / operations research, or related area
                                • -
                                • Skilled communicator with a proven record of leading projects across disciplines
                                • -
                                • Experience with CI/CD pipelines
                                • -
                                • Experience with development and deployment ML Models
                                • -
                                • Hands-on experience defining and operationalizing ML models into operational systems using cloud tools
                                • -
                                • Experience with distributed data and cloud computing resources such as AWS, GCP
                                • -
                                -

                                -

                                NOTE: There are 2 openings available - one will be full-time permanent, one will be full-time temporary (contract of 12 months). Please indicate in your application if you are interested in being considered for one or both employment types.

                                -

                                -

                                Bilingualism is an asset (English and French); adequate knowledge of French is required for positions in Quebec.

                                -

                                -

                                Additional Information:

                                -

                                Position Type: Management
                                Job Status: Regular - Full Time
                                Job Location: Canada : Ontario : Toronto

                                -

                                Flexible work profile: Mobile
                                Application Deadline: 02/18/2022

                                -

                                -

                                Please apply directly online to be considered for this role. Applications through email will not be accepted.

                                -

                                -

                                At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

                                -

                                -

                                Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

                                -

                                -

                                Created: Canada, ON, Toronto

                                -

                                -

                                Bell, one of Canada's Top 100 Employers.

                                ",,https://jobs.bell.ca/ca/en/job/BECACA350091EXTERNALENCA/Developer-Data-Science-Bell-Media?utm_source=VectorInstitute&utm_medium=phenom-feeds,info@bell.ca,,,,2022-02-22T22:42:00.000Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/109607350-developer-data-science-bell-media-at-bell-canada,BECACA350091EXTERNALENCA,expired,2022-02-18T14:18:00.000Z,import-xml-feed:Bell-Canada,Enterprise (500+),Application Click Through,Telecommunications,Associate,Bachelors Degree,New Posting, -de76ec36-602d-479e-92e9-3592d6575f50,157435780,Linamar,Software Engineer,on_site,"Guelph, ON, Canada",2022-10-17T18:36:04.289Z,"

                                Job Title: Engineer, Software

                                -

                                Innovation Hub

                                -

                                Are you someone who is eager to learn by being at the forefront of new technology?

                                -

                                You should have a good understanding of machine deep learning and power electronics and processes, along with growing experience in fast-paced manufacturing / production environments.

                                -

                                Powering Vehicles, Motion, Work, and Lives since 1966.

                                -

                                Responsibilities

                                -

                                Ensure compliance with all legislative requirements in the facility’s geographic location and:

                                -
                                  -
                                • -· The Global Operating System Plays;
                                • -
                                • -· OHSAS 18001: Health and Safety management system standard;
                                • -
                                • -· ISO 14001: Environmental Management system standard;
                                • -
                                • -· TS 16949 Technical Specification Management and Linamar Quality Basics system standards.
                                • -
                                • Power Electronics
                                • -
                                • Wire bonding
                                • -
                                • PCB/Electronics manufacturing
                                • -
                                • Experience in one or more of the following:
                                  • Full-Stack Development Experience
                                  -
                                • -
                                • Full end to end solutions (backend to frontend framework development experience)
                                • -
                                • System architecture and design decision experience
                                • -
                                • High-volume production environments, ideally with software application development teams
                                • -
                                -

                                Support, Foster, Promote and Demonstrate Linamar’s Core Values and Leadership Behaviors.

                                -

                                Maintain balance between customer, employee and financial satisfaction by maximizing facility/department Performance Indicators to align to Linamar’s Stepping Stool of Success Strategy.

                                -

                                Support and maintain department lean initiatives as set out in LPS system requirements.

                                -

                                Maintain department 5S requirements.

                                -

                                Develop a clear understanding of our factory-floor requirements for the use of IoT data.

                                -

                                Engage in effective and collaborative communications to ensure timely and efficient development processes.

                                -

                                Participate in all aspects of development lifecycles: Ideation, Design, Build, Test, Operate.

                                -

                                Collaborate with all aspects within the organization, from end users to management, from product managers, to system owners to ensure a best in class product.

                                -

                                Translate User Requirements into Technical Requirements with the Business-In-Mind.

                                -

                                Experience

                                -

                                To effectively contribute to this team, the role requires

                                -

                                3+ Years in an Engineering, Operations, DevOps, Manufacturing, Automation or similar environment.

                                -

                                System virtualization, networking, and data storage technology

                                -

                                Machine learning

                                -

                                Python Programming

                                -

                                Autoencoder development

                                -

                                Statistical analysis

                                -

                                Data science

                                -

                                Industrial controls and automation

                                -

                                Understanding of industrial controls, software, and supporting devices (Cameras, Robots)

                                -

                                Organized and proficient at time management

                                -

                                A skilled communicator, facilitator and team player

                                -

                                Energized working in a fast-changing environment

                                -

                                Additional assets for consideration include experience in:

                                -

                                What Linamar Has To Offer

                                -
                                  -
                                • Opportunities for career advancement.
                                • -
                                • Community based outreach supporting both local and global initiatives and charities.
                                • -
                                • Social committees and sports teams.
                                • -
                                • Discounts for local vendors and events, including auto supplier discounts.
                                • -
                                -

                                About Us

                                -

                                Linamar Corporation is a Canadian diversified global manufacturing company of highly engineered products across global industries & markets. From the entrepreneurial seeds planted by our dynamic founder, to the support provided along the way, all Linamar employees are poised for success in this fast-paced and rapidly growing environment. With access to the tools you need to succeed, you will make an impact along with other motivated and engaged people.

                                -

                                Linamar is committed to promoting accessible recruitment as outlined in the Accessibility for Ontarians with Disabilities Act. Linamar will attempt to accommodate persons with a disability in an appropriate and effective manner throughout all stages of the recruitment process. Accommodations will be provided upon request.

                                ",robyn.gladstone@linamar.com,,robyn.gladstone@linamar.com,http://www.linamar.com,,,2022-11-18T15:16:31.265Z,False,4,0,64,https://talenthub.vectorinstitute.ai/jobs/157435780-software-engineer-at-linamar,,expired,2022-10-17T18:36:00.000Z,website-existing-job-slot,Scaling (20-499),Vector Quick Apply,Manufacturing ,Associate,College Diploma,New Posting, -bc5b42d0-52ff-4e9f-9f17-5d55d5e4ff3a,158105432,Borealis AI,Borealis AI Fellowships,on_site,"Toronto, ON, Canada",2022-10-20T14:44:16.353Z,"

                                Supporting academic research sits at the core of Borealis AI. Our Graduate Fellowship program has been designed to help exceptional domestic and international students achieve their goals as they pursue graduate degrees at a Canadian university in ML or AI.

                                -

                                Who can apply:
                                Application eligibility criteria

                                -

                                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans’ status, Indigenous status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                -

                                How to Apply

                                -
                                • Please gather the following materials in order to proceed with your application. You will not be able to save the application once you start. The deadline to submit your application is 11:59 pm ET on November 8, 2022.
                                -

                                ",,https://www.borealisai.com/program/fellowships/,aitalent@vectorinsitute.ai,https://www.borealisai.com/en/careers/,,,2022-11-19T14:44:21.710Z,False,0,16,165,https://talenthub.vectorinstitute.ai/jobs/158105432-borealis-ai-fellowships-at-borealis-ai,,expired,2022-10-20T14:44:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Fellowship,PhD,New Posting, -280e0938-0700-4956-b25e-a90f06dfd93e,179957093,CIBC,"Senior Consultant, Advanced Analytics",on_site,"Ontario, Canada",2022-12-22T17:06:04.967Z,"
                                -

                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                -

                                -

                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                -

                                -

                                To learn more about CIBC, please visit CIBC.com

                                -

                                -

                                Job Description

                                -

                                -

                                What you’ll be doing

                                -

                                -

                                Reporting to the Director, Advanced Analytics you will be a senior contributor to the delivery of the Data Analytics’ (DA) strategy, plan and projects within Internal Audit (IA). The Senior Consultant will work closely with the DA and IA teams to leverage analytics in order to provide assurance to the bank through our support of audit engagements, continuous monitoring and auditing programs, as well as proactive, strategic, and ad-hoc analysis of trending and emerging risks.

                                -

                                -

                                At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                -

                                -

                                How you’ll succeed

                                -
                                  -
                                • Leverage advanced analytics, modeling, and statistical knowledge to design, implement, and deliver analytics engagements in support of Internal Audit partners. Actively lead assigned complex data analytics engagements to ensure quality, depth of analysis, and clearly communicated and insightful results.
                                • -
                                • Design and create interactive dashboards to support visual analytics projects and create continuous monitoring and auditing programs, data profiles and KPI/KRI dashboards.
                                • -
                                • Work closely with IA and other stakeholders to understand the controls environment of the bank, inherent and emerging risks, and scope of engagement for the deployment of data analytics.
                                • -
                                • Actively participate in the audit life-cycle activities; contribute as data & analytics Subject Matter Expert in scope and planning discussions, in designing and implementing the analytics engagement, and in delivery and presentation to stakeholders, including IA and Auditee executives.
                                • -
                                • Provide technical, motivational and strategic thought leadership to the Advanced Analytics team in planning and executing in-depth data analysis supporting a variety of audit activities.
                                • -
                                • Collaborate with other consultants and leaders in the CIBC analytics community to identify and realize points of integration to deliver coordinated analytics services to Internal Audit.
                                • -
                                -

                                -

                                Who you are

                                -
                                  -
                                • -A degree (preferably at the graduate level) in Management Science, Statistics, Mathematics, Quantitative Finance, Computer Science, or Business. Strategic and systematic thinker with a strong analytical and process development background.
                                • -
                                • -5+ years of experience and advanced practical and theoretical knowledge in data analytics, quantitative modeling, BI or statistical analysis
                                • -
                                • -Progressive experience in the data analytics field including product, client or risk analytics. Prior experience in Assurance Analytics (Risk, Compliance, Audit) is a definite asset.
                                • -
                                • -Great communication skills, verbal and written as well as a great storyteller who can visually bring to life what data and analytics is showing us.
                                • -
                                • -Strong organization, leadership, and team-oriented skills. Demonstrated ability to collaborate as well as lead across a matrix organization to execute on priorities, influence change and deliver results.
                                • -
                                • -Comprehensive knowledge of data analysis tools, languages, and methodologies. (SAS, Tableau, Python, Oracle RDBMS, Azure, Cloud Computing), knowledge of CIBC data sources, applications and system platforms is a benefit.
                                • -
                                -

                                -

                                What CIBC offers

                                -

                                -

                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                -
                                  -
                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.
                                • -
                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
                                • -
                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.
                                • -
                                -

                                -

                                What you need to know

                                -
                                  -
                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                • -
                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                • -
                                -

                                -

                                -

                                -

                                -

                                -

                                Job Location

                                Toronto-81 Bay, 26th Floor

                                Employment Type

                                Regular

                                -

                                Weekly Hours

                                37.5

                                Skills

                                -

                                Advanced Analytics, Business Analysis, Data Analysis, Data Analysis Tools, Financial Services, Statistics, Visual Analytics
                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Consultant--Advanced-Analytics_2243017?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-01-12T22:02:00.000Z,False,0,3,3,https://talenthub.vectorinstitute.ai/jobs/179957093-senior-consultant-advanced-analytics-at-cibc,,expired,2022-12-22T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -13e684ec-bdb1-423c-9d71-ad91969db2b4,179960718,Sun Life Financial,"Data Analyst, Rewards & Recognition",on_site,"Ontario, Canada",2022-12-22T17:41:05.025Z,"
                                -

                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                -

                                -

                                -

                                Job Description:

                                -

                                -

                                The Data Analyst, Recognition provides data analytics support for multiple annual recognition programs and campaigns available to approximately 1,800 Sun Life Advisors.

                                -

                                -

                                Preferred skills

                                -

                                · Minimum 3 years\' experience in data analytics and business intelligence, including predictive analytics and data modeling.

                                -

                                · Degree in business administration, finance, economics, computer science, statistics, mathematics, engineering, or equivalent is required.

                                -

                                · Experience building and maintaining Excel Macros and VBA programs.

                                -

                                · Experience using data analysis tools such as Microsoft SQL server or similar.

                                -

                                -

                                Qualifications

                                -

                                · Expert knowledge in the Microsoft suite of products (Excel, Word etc.) with proven experience with VBA, as well as advanced Excel functions

                                -

                                · Highly motivated individual who can execute independently with minimal direction

                                -

                                · Proficient in data investigation and compilation with multiple data sources

                                -

                                · Technical aptitude: ability to learn new tools and software quickly and understand technical concepts

                                -

                                · Strong analysis, investigative and problem-solving skills

                                -

                                · Innovative thinker; able to identify and champion proposals for approval

                                -

                                · Builds context by pushing beyond ""how things are done"" to understand ""why"" and uncover the underlying principles shaping the business

                                -

                                · Ability to extract, manipulate and simplify data through a variety of tools and techniques

                                -

                                · Process improvement skills with a demonstrated ability to produce meaningful results from data

                                -

                                · Strong communication and interpersonal skills; ability to explain business concepts to IT partners, and technical concepts to business partners

                                -

                                · Attention to detail and in-depth planning, organizational and time management skills

                                -

                                · Positive attitude to thrive in a dynamic, fast-paced environment, and quickly find alternative solutions to challenges

                                -

                                · Flexibility: Ability to accept change, and adapt well to ambiguous situations

                                -

                                -

                                Responsibilities

                                -

                                · Lead incentive program modelling efforts by extracting data, analyzing, and drafting insights from previous programs; present proposals for future programs to the Recognition team and senior leadership for approval.

                                -

                                · Generate reports, develop, and maintain databases by acquiring data from various sources, build scripts that will make data evaluation process more flexible or scalable across data sets.

                                -

                                · Analyze and model data to showcase rich interactive visualizations to extract insights, to drive for strategic business decisions to drive performance.

                                -

                                · Adjust Excel VBA macros to include new requirements for annual programs, quarterly campaigns, and ad hoc incentives; ensuring data quality and timely delivery of the report.

                                -

                                · Work with the internal programming team to implement and test changes to automate Recognition program reporting.

                                -

                                · Support data and insights requests after each incentive program period to deliver the performance analysis and present them to the team and leadership.

                                -

                                · Support data warehousing in identifying and revising reporting requirements.

                                -

                                · Support ad hoc data and performance requests from leadership.

                                -

                                · Complete monthly, quarterly, annual program status reporting.

                                -

                                · Attend regular Recognition team meetings and provide data and insights in these meetings as required.

                                -

                                · Build new reports in Excel or Tableau as required to support the continuous improvement efforts of Recognition team.

                                -

                                · Ensure that business and technical requirements are captured in proper documentation and maintained.

                                -

                                -

                                -

                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                -

                                -

                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                -

                                -

                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                -

                                -

                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                -

                                -

                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                -

                                -

                                Salary Range:

                                51,100/51 100 - 82,800/82 800

                                -

                                Job Category:

                                Advanced Analytics

                                -

                                Posting End Date:

                                12/01/2023
                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Waterloo-Ontario/Data-Analyst--Rewards---Recognition_JR00073333?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-01-12T22:01:00.000Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/179960718-data-analyst-rewards-recognition-at-sun-life-financial,,expired,2022-12-22T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -89326799-6779-4652-a22b-25a78e534a21,181084210,Scotiabank,"Manager, Data Strategy - CID&A",on_site,Canada : Ontario : Toronto,2022-12-26T17:22:02.974Z,"

                                -

                                -

                                -

                                -

                                Requisition ID: 169773

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                -

                                Purpose

                                -

                                -

                                The Data Engineer, Strategic Project will be accountable for delivery of data analytics and business intelligence in support of strategic initiatives that go across different functions within Canadian Banking including Canadian Banking Analytics, Products, Market Research, Marketing, Customer Growth. Using analytics tools such as Python, SAS and Power BI, this role will access a wide range of sophisticated complex data sources to uncover insights in support of business initiatives and inquiries. The incumbent will work collaboratively with Data Enablement team to implement final data in the production for sharing with a wide audience.

                                -

                                -

                                Accountabilities

                                -

                                -

                                Accountability 1 – Data Analytics and Visualization

                                -


                                • Use a variety of Business Intelligence analytical and reporting tools (eg. SAS, SQL, Python, Power BI) to access Enterprise Data Warehouse (EDW), Data Lake (EDL) and other platforms to perform complex analysis and reporting, including interactive dashboards, scorecard, regular reports, and ad-hoc requests as required.
                                • Lead the adoption of visualization tool such as Power BI as the primary delivery method to enable user interaction and data exploration by business partners.
                                • Provide dynamic reporting on key performance metrics to various stakeholders in retail, small business, product lines, channels, other strategic groups, and external stakeholders.
                                • Act as the advocate of CB Analytics to showcase analytics solutions and dashboards that helps business partners to gain insight, build business cases and make fact-based decisions
                                • Effectively manage and prioritize multiple business initiatives, projects and ad-hoc analysis with business stakeholders and possible external partners.

                                -

                                -

                                Accountability 2 – Processes Improvement

                                -


                                • Support migration of SAS based data processing workflows to Apache Spark & Python.
                                • Collaborate with analytics peers and data infrastructure groups across the bank on data initiatives such as platform migration and new data source ingestion and requirements for projects
                                • Build re-usable managed datasets for CBA stakeholders.
                                • Document existing processes and workflows, and look for opportunities to optimize and automate work stream
                                • Coach, assist and share knowledge and expertise to new and existing team members with varying degrees of technical and data expertise
                                • Learn new tools and technology to meet evolving business needs.

                                +

                                In this role of Senior Manager, Data Insight Analytics, you will provide leadership and support in using analytics, including advanced analytics and statistical models, to generate actionable insights, automate business actions, and improve the speed and quality of decisions across Digital teams at RBC.

                                +

                                +

                                You will work with Digital Channels and Products for personal and business clients including Mobile, Online Banking, Direct Investing, NOMI and RBC Rewards. You will structure, curate and complete analyses, develop net new data assets and model data that will enable data-driven decisions.

                                +

                                +

                                What do you need to succeed?

                                +

                                Must-have

                                +
                                  +
                                • BA/BSc or above in mathematics, economics, statistics, computer science or related quantitative field
                                • +
                                • 7+ years\' experience in related digital product development, marketing analyst or data mining role
                                • +
                                • Advanced experience with Python or Scala, Google Analytics, Tableau, Data Studio and PowerPoint
                                • +
                                • Hands-on knowledge of advanced digital analytics methodologies such as experimentation and testing, competitive analysis, surveys and market research
                                • +
                                • Success with building out an analysis end-to-end with a high degree of independence: i.e., perform lead requirements gathering, develop an analysis plan, wrangle data to suit the problem, apply the right type of analytics and package the output into a presentable deliverable
                                • +
                                • Storytelling and executive presence: ability to articulate a narrative for an analysis or report
                                • +
                                • Experience working on agile teams using Github and JIRA
                                • +
                                • Ability to work with and lead analysts and managers
                                • +
                                +

                                +

                                Nice-to-have

                                +
                                  +
                                • MA, MSc or PhD in a quantitative field
                                • +
                                • Strong understanding of AWS Big Data services such as Amazon S3, EMR and Glue
                                • +
                                +
                                • Knowledge and experience in areas of data modeling, data orchestration and data pipeline
                                +

                                +

                                What will you do?

                                +
                                • +Insights and Analytics:
                                    +
                                  • Help advance a culture of timely data-driven decisions
                                  • +
                                  • Implement practical applications of analytical and statistical frameworks and methodologies to client and prospect data sets to study demographics, behaviors, and business outcomes
                                  • +
                                  • Use a variety of analytical methods (descriptive, diagnostic and predictive) such as time series analysis, segmentation, hypothesis testing and causal inference to surface actionable insights
                                  • +
                                  • Embed reliable and re-usable patterns and showcase them to drive forward the analytics brand of the Digital Intelligence Group both internally and across Digital teams at RBC
                                  • +
                                  +
                                +

                                +
                                  +
                                • +Data Collection/Ingestions/Acquisition:
                                    +
                                  • Collaborate with data developers, DevOps, data engineers and cloud engineers to implement new data collection/ingestion/acquisition
                                  • +
                                  • Support business stakeholders in identifying needs for additional data acquisitions, and coordinate plans to orchestrate data acquisitions
                                  • +
                                  • Develop templates and systems for repeatable processes
                                  • +
                                  +
                                • +
                                • +Digital Product Reporting and Presentations:
                                    +
                                  • Define, communicate and enforce reporting and analytics standards, policies and data governance
                                  • +
                                  • Construct presentations in story format and deliver them to partners across the organization
                                  • +
                                  • Deliver clear, concise and timely reports identifying trends, issues and opportunities
                                  • +
                                  +
                                • +
                                • +Stakeholder Consultancy:
                                    +
                                  • Manage relationships with key business stakeholders to develop, execute and monitor complex insights and analytical solutions to business problems
                                  • +
                                  • Digest complex problems and organize into achievable milestones
                                  • +
                                  • Apply expertise and think creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine
                                  • +
                                  +
                                • +
                                +

                                +

                                What’s in it for you?

                                +
                                  +
                                • We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
                                • +
                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
                                • +
                                • Leaders who support your development through coaching and managing opportunities
                                • +
                                • Ability to make a difference and lasting impact
                                • +
                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                • +
                                • A world-class training program in financial services
                                • +
                                • Flexible work/life balance options
                                • +
                                • Opportunities to do challenging work
                                • +
                                • Opportunities to take on progressively greater accountabilities
                                • +
                                • Opportunities to building close relationships with clients
                                • +
                                • Access to a variety of job opportunities across business and geographies
                                • +
                                +

                                +

                                +

                                +

                                +

                                +

                                Job Summary

                                +

                                Address:

                                TORONTO, Ontario, Canada

                                City:

                                CAN-ON-TORONTO

                                Country:

                                Canada

                                Work hours/week:

                                37.5

                                Employment Type:

                                Full time

                                Platform:

                                Personal and Commercial Banking

                                Job Type:

                                Regular

                                Pay Type:

                                Salaried

                                Posted Date:

                                2022-10-25-07:00

                                Application Deadline:

                                2023-01-31-08:00
                                +

                                Inclusion and Equal Opportunity Employment

                                +

                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                ​​​​​​​
                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                +
                                +

                                Join our Talent Community

                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                +
                                ",,https://jobs.rbc.com/ca/en/job/R-0000032817/Senior-Manager-Data-Insight-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-01-21T15:36:56.020Z,False,0,2,14,https://talenthub.vectorinstitute.ai/jobs/178992935-senior-manager-data-insight-analytics-at-rbc,,expired,2022-12-19T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +12afe575-3e47-40d9-8ca8-883073e645a7,178993259,Scotiabank,"Senior Manager, AML/ATF Models and Analytics",on_site,Canada : Ontario : Toronto,2022-12-19T17:22:04.782Z,"

                                -

                                Accountability 3 – Business Impact

                                -


                                • Act as project owner in requirements gathering, program development and process automation to ensure high quality delivery.
                                • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
                                • Support the development and implementation of long-term data and analytics strategy that move towards high degree of automation and end-user self-help solutions
                                • Acquire and enhance knowledge in technical areas, product strategies, competitive practices, market insights to continuously improve analytics value
                                • Understand the Bank’s risk appetite and AML/ATF practices in day-to-day activities and decisions.
                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct

                                -


                                Requirements & Qualifications

                                -

                                • Bachelor's Degree in Computer Science, Engineering, Math, Statistics, or another quantitative field.
                                • 4+ years of experience in advanced analytics or data scientist role
                                • Must be proficient with Python (3+ years), PySpark, Spark, SAS, SQL, Power BI, Excel and MS Office
                                • Experience with Big Data ecosystem tools (e.g. Hadoop, Hive, Spark) and data processing within the EDL for ‘big data’ data pipelines, architectures & data sets
                                • Experience with HDFS/Hive, MiniO/Presto/Trino, Airflow, Docker, Git would be an asset
                                • Experience with Google Cloud Platform (Google Cloud) would be an asset
                                • Excellent analytical and problem-solving skills. Must be able to interpret and consolidate large amount of information in actionable recommendations
                                • Must be flexible to adapt to a dynamic environment and make quick and sound decisions under pressure
                                • Must be reliable, pro-active, results-oriented, customer-focused, and attentive to details
                                • Must possess excellent time management and organizational skills
                                • Strong communication skills and relationship building skills with internal partners
                                • Strong prioritizing, planning, analytical, requirement gathering and presentation skills
                                • Open to learn new tools and explore new ways of analyzing data and business performance

                                -

                                Good to have Qualifications:

                                -


                                • 2+ years’ experience of banking and financial services products, covering all business lines (day-to-day, borrowing, investing, insurance, wealth management, and small business)

                                -

                                +

                                Requisition ID: 169022

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Strategy-CID&A-ON-M5C2W1/566285917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-12T22:00:00.000Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/181084210-manager-data-strategy-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Data-Strategy-CID&A-ON-M5C2W1/566285917/,expired,2022-12-26T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -5603e2c1-a512-4185-a206-01feaa7ef695,175021835,TD Bank Group,Data Engineer Intern/Co-op,on_site,"Toronto, ON",2022-12-08T17:24:02.501Z,"
                                +

                                What you’ll be doing…

                                +

                                As a Senior data engineer in Data Management, AML/ATF Models and Analytics team, you will contribute to build better way to approach all banking systems data for AML/ATF by using your advanced engineering , analytical and communication skills to work with different business partners across whole Scotiabank. This role will be responsible for leading preject work in Data Quality and Data Integrity improvement initiatives for AML/ATF model building and performance enhancement.This role will work close to Data Governece ,technology department as well as AML compliance office to provide guidance and business requirement for ensuring success in the management of the critical data elements used by all AML/ATF models in order to comply with the corporate audit and regulatory standards.

                                +

                                +

                                Is this role right for you? In this role you will:

                                +
                                • Conduct Deep Dive into banking source data , performing data profiling and analysis to determine better dimmensional/Hierarchical data for AML/ATF model and predict data analysis.
                                • Lead team to use latest computing technoloy to deliver end to end applications that raise the bar on AML analytic innovation and quality.
                                • Hands-on ownership architecting and developing highly scalable and hight available data mart in Cloud. Google Cloud platform or Microsoft Azure platform
                                • Design business intellegence appliaction in either Google cloud BI tool or Microsoft Power BI premium capacity.
                                • Act as a subject matter expert for AML/ATF initiatives, working with project senior leadership providing an understanding of the increased risk of AML/ATF associated with implementation of the initiative and developing FIU business requirements to mitigate these risks.
                                • Provide data expertise and identify data patterns within banking data to help identify different types of AML risks.
                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge
                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                • +
                                +

                                +

                                Do you have the skills that will enable you to succeed in this role? We’d love to work with you if you have:

                                +
                                • Strong knowledge of google cloud platform and related components , like big query, looker etc.
                                • Strong knowledge of banking products and their data lifecycle
                                • Strong effective communication skills and manage expectations with diverse groups for stakeholders
                                • Experience programming in such as PySpart, Python, R, SAS. Experience with databases such as Oracle or SQL Server
                                • AML/ATF experience or analytic knowledge
                                • Data architecture experience in cloud infrastructure
                                • Bachelor's degree in business, finance, or engineering
                                • Strong experience with data modelling and data analysis
                                • Minimum of 3 years of relevant experience in AML/ATF
                                • +
                                +

                                +

                                What’s in it for you?

                                +
                                • An inclusive & collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                • We offer a competitive rewards package: Performance bonus, Employee Share Ownership Program, and Pension Plan Matching, Health Benefits from day one!
                                • Your career matters! You will have access to career development and progression opportunities.
                                • +
                                +

                                +

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-AMLATF-Models-and-Analytics-ON-M5H1H1/566042817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-21T15:58:26.957Z,False,0,0,3,https://talenthub.vectorinstitute.ai/jobs/178993259-senior-manager-aml-atf-models-and-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-AMLATF-Models-and-Analytics-ON-M5H1H1/566042817/,expired,2022-12-19T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +10cd3887-a758-4480-929c-700a4a30a661,167454762,TD Bank Group,Data Scientist III,on_site,"Toronto, ON",2022-11-15T17:24:02.766Z,"

                                Company Overview

                                -

                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                                -

                                Why TD?

                                -

                                TD’s Colleague Promise: A better you. A better us.

                                -

                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                +

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                +

                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                Department Overview

                                -

                                Co-op and Internship opportunities allow you to gain valuable work experience across several businesses at TD. You
                                will work with experienced colleagues, receive world class training, and be part of a community of students across
                                TD, where you will have an impact, grow as individual and experience our culture of care.

                                -

                                Our Co-op/Intern Programming is offered with select Co-op and Internship roles and is designed to help you better
                                understand the TD business, build on critical career capabilities, and broaden your professional network. This
                                program is designed to complement your on-the job experience and features:

                                -
                                  -
                                • Leadership talks with key Leaders from across the organization
                                • -
                                • Lunch and Learns on topics such as Innovation
                                • -
                                • Diversity and Inclusion and Personal Branding and so much more
                                • -
                                +

                                What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                                +

                                As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                                +

                                TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                                +

                                We are on a journey to enable Environmental, Social, and Governance (ESG) at TD with a Climate Data Solution, that will blend internal and externally sourced data to deliver on key Climate priority areas and use-cases. As a part of this new team, with an enterprise mandate, you will be on the leading edge of the TD ESG journey to enable scale, competency, and business solutions through data and analytics.

                                Job Description

                                -

                                You will have the opportunity to work with one of our various teams within the Technology group, specifically working
                                on TD’s big data platform (Data-as-a-service or DaaS). Job responsibilities for a Data Engineer Intern/Co-op may
                                vary by area. They may include, but are not limited to the following:

                                +

                                +

                                About this Role

                                +

                                For this role, we’re counting on your intensive technical leadership to forge our path moving forward. As an emissary of the crucial nature of data science, you’ll work in close proximity others across the bank to identify and pursue new opportunities wherever they lie. You’ll play a crucial role on cross functional teams of data scientists, data and IT engineers and business process owners to build out and implement world-class analytic solutions enterprise wide. You can handle just how much data TD has, and cannot wait to help build statistical models that scale to them.

                                +

                                We are looking for someone to help parse our vast data and identify needs and analytical trends employing industry leading techniques and theories to improve TD’s business practices enterprise wide.

                                +

                                As a Data Scientist III, these are the essential qualifications of this role:

                                  -
                                • Apply Software Development Life Cycle (SDLC) and Project Management Methodology (PMLC) to complete specific development tasks for projects
                                • -
                                • Ensure defect-free programming by testing and debugging using available/appropriate tools and participate in reviewing peer coding
                                • -
                                • Design, develop and deploy system enhancements
                                • -
                                • Perform Unit and System Integration tests
                                • -
                                • Document system deployment plans for system implementation and code deployment
                                • -
                                • Participate in Proof-of-Concept (POC) on new technologies and document findings
                                • -
                                • Provide recommendations with full usability analysis
                                • -
                                • Perform root-cause analysis and resolution of application defects
                                • -
                                • Adhere to standard security coding practices to ensure application is free of coding vulnerabilities
                                • -
                                • Continuously enhance knowledge/expertise and keep current with leading-edge technologies trends/developments and develop expertise in TD services, applications, infrastructure, analytical tools and techniques that can contribute to effective solution development/delivery
                                • +
                                • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core deliverables
                                • +
                                • Work closely with business owners to find opportunities and serve as an ambassador for data science
                                • +
                                • Design and deliver enterprise analytic solutions for customers
                                • +
                                • Develop powerful business insights from social, marketing and industrial data using advanced machine learning techniques
                                • +
                                • Build complex statistical models that learn from and scale to petabytes of data.
                                • +
                                • Analytical thought leadership and stay current on developments in data mining and the application of data science
                                • +
                                • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
                                • +
                                • Generally accountable for a significant business management area that typically has enterprise wide impact or accountability
                                • +
                                • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels

                                Requirements

                                -
                                  -
                                • Currently enrolled in a relevant technology programs, such as Computer Science, Engineering, Information
                                • -
                                • Technology Management, Financial Analysis and Risk Management, Computing, etc.
                                • -
                                • Familiarity with at least one of the following technologies: Java, Scala, Python, Pyspark, or SQL
                                • -
                                • Practical experience/knowledge of data generation, data masking, data subsetting, data archiving, data virtualization, project management, management reporting, data modelling, and/or database development
                                • -
                                • Test Data Tools Knowledge (CA TDM or Delphix)
                                • -
                                • Familiarity with source code management such as GIT
                                • -
                                • Familiarity with Jira and Confluence
                                • -
                                • A thirst for constantly exploring emerging technology
                                • -
                                • Skills that would be an asset, but not required
                                    -
                                  • Familiarity with RDBMS, Big data
                                  • -
                                  • Familiarity with Data Warehousing, ETL, ELT concepts
                                  • -
                                  • Familiarity with Pandas, Numpy Scikit-learn, Matplotlb, Ruby, Linux
                                  • -
                                  • Interest or aptitude in Financial Systems and the Financial Industry
                                  • -
                                  • Familiarity with Cloud technology (Azure, AWS, GCP)
                                  • -
                                  -
                                • -
                                -

                                -

                                Additional Information

                                -
                                -

                                Please note that this is a general posting. If you are selected for an interview, more information regarding
                                which business group and the specific job duties will be provided.

                                -

                                Early Talent Requirements

                                +
                                + What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                  -
                                • This position is a 4-month work term and will commence May 1 – August 25th, 2023.
                                • -
                                • Applications must include a resume (maximum of 2 pages). We welcome all applications; however, we will only contact qualified candidates chosen for an interview..
                                • -
                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                • +
                                • Undergraduate degree or technical certificate
                                • +
                                • Ten (10) or more years of relevant experience
                                -

                                Assigned Line of Business Requirements
                                Please note that the line of business that you are assigned to may require specific skills not mentioned in this posting

                                -

                                #P&TCo-op

                                Hours

                                37.5

                                -

                                Start Date

                                -
                                – Summer
                                -

                                Inclusiveness

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                -
                                ",,https://jobs.td.com/en-CA/jobs/16991996/data-engineer-intern-co-op-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-11T21:10:04.643Z,False,0,15,45,https://talenthub.vectorinstitute.ai/jobs/175021835-data-engineer-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16991996/data-engineer-intern-co-op-toronto-ca/,expired,2022-12-08T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -056b8f47-7896-4bcd-9030-a9ad1999cbea,175047220,CN,Expert Data Engineering,on_site,"Ontario, Canada",2022-12-08T17:42:02.007Z,"
                                -

                                -

                                At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                -
                                -

                                Job Summary

                                -

                                The Expert Data Engineering is responsible for building, managing, and optimizing data pipelines, moving them effectively into production for key data and analytics consumers, shaping the enterprise Data as a Service (DaaS) model and delivering on IT business models. The Expert Data Engineering develops best practices and optimizes data pipelines to deliver products and services aligned with business expectations. The incumbent plays a pivotal role in operationalizing data and analytics initiatives, defining and building CN’s data integration and DaaS platform roadmap.

                                -

                                -

                                Main Responsibilities

                                Data Engineering

                                -

                                -

                                · Ensure optimal data delivery architecture and processes are consistent throughout ongoing projects

                                -

                                · Optimize CN’s data architecture to support the next generation of products and data initiatives

                                -

                                · Build, manage, and optimize data pipelines, moving them effectively into production for key data and analytics consumers such as business or data analysts and data scientists

                                -

                                · Build data and domain event models, implement business rules, and engineer scalable data pipelines

                                -

                                · Ensure compliance with data governance and security requirements while creating, improving and operationalizing integrated and reusable data pipelines

                                -

                                · Enable faster data access, integrate data reuse, and improve time-to-solution for data and analytics initiatives

                                -

                                · Integrate analytics and data science results with business processes

                                -

                                · Promote effective data management practices

                                -

                                -

                                Data Design

                                -

                                -

                                · Collaborate with stakeholders and architects to model data landscape and define secure data exchange approaches

                                -

                                · Meet with stakeholders to identify fit-for-purpose within CN’s existing data ecosystem and deliver options and agile solutions

                                -

                                · Design and develop processing pipelines that ingest data into Data Hubs

                                -

                                · Expose the data into meaningful formats, like GraphQL

                                -

                                · Provide day-to-day support and technical expertise to both technical and non-technical teams

                                -

                                · Participate in building data engineering expertise and framework

                                -

                                · Translate business needs into technical requirements

                                -

                                -

                                Data Development

                                -

                                -

                                · Acquire, ingest and process data from multiple sources and systems

                                -

                                · Design and develop Extract, Transform, and Load (ETL) pipelines using multiple sources of data in various formats

                                -

                                · Conduct metadata management, data cleansing and preparation

                                -

                                · Produce well documented quality codes

                                -

                                -

                                Data Operations - 10% -

                                -

                                -

                                · Use Agile methodologies to streamline project delivery aligned with goals, timelines, and budget

                                -

                                · Build monitoring and debugging tools to analyze data pipelines

                                -

                                · Help unify software development and operations seamlessly, efficiently, and cost effectively

                                -

                                · Improve software quality, automate processes, and accelerate software releases

                                +
                                ",,https://jobs.td.com/en-CA/jobs/16981948/data-scientist-iii-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-12-01T14:59:00.000Z,False,0,2,27,https://talenthub.vectorinstitute.ai/jobs/167454762-data-scientist-iii-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16981948/data-scientist-iii-toronto-ca/,expired,2022-11-15T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +7f37efaa-39fc-40ac-b5e7-601a479b4cd1,169479534,Shopify Inc.,Senior Data Scientist - Partnership Insights (Remote),full,"Ontario, Canada",2022-11-21T17:42:08.333Z,"

                                About the role

                                Data is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success.

                                +

                                Our Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.

                                +

                                The One Shopify and Executive Insights Team is responsible for three areas:

                                +

                                Strategic Analysis & Projects:

                                +
                                • Engaging in strategic projects and data investigations / deep dives to inform team strategies and investment plans (e.g., merchant segmentation & opportunity sizing; growth opportunities; roadmapping).
                                +

                                Performance Measurement & Operational Support:

                                +
                                  +
                                • Setting north star metrics, KPIs and targets for the team.
                                • +
                                • Building self-serve dashboards to support ongoing partner performance measurement for use both internally and externally.
                                • +
                                • Conducting deep dive performance analyses on pilots, product launches & GTM initiatives.
                                • +
                                • Supporting and engaging in Monthly and Quarterly Business Reviews, sharing data insights and performance.
                                • +
                                +

                                Executive Insights:

                                +
                                  +
                                • Surfacing executive-level insights to inform executive briefs, investor relations & external facing reports.
                                • +
                                • In coordination with Partnerships & BizOps, building strong data narratives for executives that accurately reflect performance for our partners.
                                • +
                                ",,https://www.shopify.com/ca/careers/senior-data-scientist-partnership-insights-remote_2f6b2c34-1d50-44f7-b50b-6f7ccd6d2825,feed-importer@jobboard.io,,,,2022-12-01T14:56:00.000Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/169479534-senior-data-scientist-partnership-insights-remote-at-shopify-inc,,expired,2022-11-21T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Information and Media),Mid-Senior Level,Masters Degree,New Posting, +e19952ec-cf2c-47b5-a070-db562b36f366,169479123,Sun Life Financial,Senior Data Engineer,on_site,"Ontario, Canada",2022-11-21T17:41:02.705Z,"
                                +

                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                -

                                Data Quality Assurance

                                -

                                · Use Agile development practices for code reviews and testing to develop and deliver data pipelines

                                -

                                · Develop and implement test plans and scripts for various data quality processes

                                -

                                · Maintain manual and automated test scripts

                                +

                                Job Description:

                                -

                                Working Conditions

                                +

                                At Sun Life, we work together, share common values and encourage growth and achievement. We offer many career paths that attract a wide variety of talent and skills. Follow a path that lets your talents shine.

                                -

                                The role has standard working conditions in an office environment with a regular workweek from Monday to Friday and offers remote work.

                                -

                                +

                                Role Summary:

                                -

                                Requirements

                                Experience

                                +

                                The Client Experience Office (CXO) is an important pillar of Sun Life’s corporate strategy and as such, is seeking experienced data engineering individuals with a proven track record working with data consumers to extract meaningful insights from enterprise data. Senior Business data engineers play an indispensable role in assembling the necessary data products that fuel myriad of analytical models used by our various business units across Canada.

                                +

                                +

                                Reporting to the Manager of Data Engineering, the Senior Business Data Engineer will be a key member of Data Enablement Team responsible for building enriched data products that provide deep insights about our Client, Advisor, Product, Transactions along with their intricate relationships. The Senior Business Data Engineer will work with data analysts and data scientists to help answer complex business enquires such as identifying new business opportunities, understanding our client behavior and optimizing areas of our sales cycles.

                                -

                                Data Engineering

                                -

                                · Minimum 5 years of experience in a data engineering role, working in different data management disciplines including data integration, modelling, optimization and quality

                                -

                                · Experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental or multi-departmental data management and analytics initiative

                                -

                                · Experience with at least 2 of the following technologies: Python, Scala, SQL, Java

                                -

                                · Experience with Big Data technologies such as Hadoop, Hive, HBase, Spark, etc.

                                -

                                · Experience with Cloud and non-Cloud based Hadoop ecosystem

                                -

                                · Experience with Cloud platforms such as Azure, Google Platform or Databricks

                                -

                                · Experience with traditional data warehousing and ETL tools (Informatica, Talend, Pentaho, DataStage)

                                -

                                · Experience with Linux and shell scripting

                                -

                                · Experience deploying applications into production environments such as code packaging, integration testing, monitoring and release management

                                -

                                · Experience with multiple database technologies such as Distributed Processing (Spark, Hadoop, EMR), traditional RDBMS (MS SQL Server, Oracle, DB2, MySQL, PostgreSQL), NoSQL (MongoDB, DynamoDB, Cassandra)

                                -

                                · Experience working in an Agile team environment

                                +

                                What will you do?

                                +
                                  +
                                • Obsessed with understanding our enterprise data and interpreting it in the best way possible to derive business value

                                • +
                                • Design and engineer data models that represent our key business entities such as our Advisor, Client & Product

                                • +
                                • Ensure high level of data quality and data integrity are maintained across data sources for business

                                • +
                                • Convert complex business and technical rules into logic for data flows and data pipelines

                                • +
                                • Work with our Data Science teams to implement data products for various use cases

                                • +
                                • Collaborate with stakeholders and incorporate into solution design for various use case requirements

                                • +
                                • Standardize metadata into a common glossary along with the necessary documentation for data consumers

                                • +

                                -

                                Education/Certification/Designation

                                +

                                What do you need to succeed?

                                +
                                  +
                                • 3-5 years hands-on experience working on Cloud Platforms (on AWS, Azure, etc.) with data processing and analytical tools such as Hive SQL

                                • +
                                • 3 years experience in Pyspark and SQL

                                • +
                                • 5 years hands-on experience with relational database systems, relational models, dimensional models etc.

                                • +
                                • 3-5 years experience with engineering data products as input to various analytical models

                                • +
                                • 3-5 years building feedback loops between model deployment and its data – i.e. tune & tweak data products to achieve scale, optimization, etc.

                                • +
                                • Sound understanding of data management principles (data warehousing, data quality, master data management, etc.)

                                • +
                                • Sound understanding of data modelling and a passion for analytics

                                • +
                                • Proven track record in leveraging SQL and SQL-based programming to solve business problems

                                • +
                                • Ability to translate complex business requirements into a set of data ingestion pseudocode

                                • +
                                • Proven ability to leverage knowledge of data engineering to extract, conform and integrate a variety of operational data sources into pro‐duction-grade data products

                                • +
                                • Demonstrate blend of tenacity, creativity, and discipline required to develop ground breaking self-serve data models that data scientists can consume

                                • +
                                • Excellent verbal and written communication skills; have executive presence and proven ability to partner with Data Scientists to articulate insights gleaned from the model and the underlying data

                                • +

                                -

                                · Bachelor\'s Degree in Computer Science, Electrical Engineering or Software Engineering

                                -

                                · Master’s Degree or PhD in Data Management, Data Analytics, Information Systems, or a related quantitative field*

                                -

                                · Professional Engineer (P.Eng.) Degree*

                                -

                                · Google or Azure Data Engineering certification*

                                -

                                *Any designation for these above would be considered as an asset

                                +

                                Education and Qualifications:

                                +
                                  +
                                • Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent

                                • +
                                • Graduate degree in business or quantitative science strongly preferred

                                • +

                                -

                                Competencies

                                +

                                Unique Requirements

                                +
                                  +
                                • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)

                                • +
                                • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                • +
                                +

                                +

                                What would be nice to have?

                                +
                                  +
                                • Understand and Embrace Agile Operating Model

                                • +
                                • Proven Experienced working as Product Owner in Scrum or Service Request Manager in Kanban projects

                                • +
                                • Experience working in a large financial services organization

                                • +
                                • Knowledge of fundamental statistical models & techniques

                                • +

                                -

                                · Inspires others with impactful communications and adapts to the audience through speech and writing

                                -

                                · Ability to communicate complex solutions

                                -

                                · Applies analytical thinking

                                -

                                · Innovates through problem solving

                                -

                                · Knows the business and stays current with industry trends to elevate expertise and work

                                -

                                · Demonstrates organizational abilities and detail oriented

                                -

                                · Collaborates with key internal stakeholders to enable higher productivity

                                -

                                · Works independently with little supervision

                                -

                                · Applies agile mindset

                                -

                                · Ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets

                                -

                                · Demonstrates commitment to high standards of ethics, regulatory compliance, customer service, and business integrity

                                +

                                What\'s In It For You?

                                +
                                  +
                                • Great Place to Work® Certified in Canada and the US - 2022

                                • +
                                • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                                • +
                                • Named “Best Places to Work” by Glassdoor - 2021

                                • +
                                • Canada Award for Excellence for Mental Health at Work - 2021

                                • +
                                • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid, #LI-Remote

                                • +
                                • Competitive salary and bonus structure influenced by market range data

                                • +
                                • Pension, stock and savings programs to help build and enhance your future financial security

                                • +
                                • A friendly, collaborative, and inclusive culture

                                • +
                                • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

                                • +
                                • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                                • +

                                -

                                Technical Skills/Knowledge

                                -

                                · Strong data analytics and development skills

                                -

                                · Demonstrated creativity skills

                                -

                                · Expertise in a combination of Scala, Java or Python

                                -

                                · Expertise with Big Data architecture and distributed computing processes and platforms such as Map/Reduce, Hadoop, Hive, Spark, Kafka, etc.

                                -

                                · Expertise with one or more SQL-on-Hadoop technology (Hive, Impala, Spark SQL, Presto)

                                -

                                · Knowledge of software engineering best practices such as code reviews, testing frameworks, maintainability and readability

                                -

                                · Expertise with GraphQL*

                                -

                                *Any knowledge for any of the above would be considered as an asset

                                +

                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                -
                                -About CN

                                -

                                -

                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                +

                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                -
                                +

                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                +

                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                +

                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                +

                                Salary Range:

                                74,100/74 100 - 120,800/120 800

                                +

                                Job Category:

                                Advanced Analytics

                                +

                                Posting End Date:

                                30/11/2022
                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Business-Data-Engineer_JR00064435?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2022-12-01T14:57:00.000Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/169479123-senior-data-engineer-at-sun-life-financial,,expired,2022-11-21T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +bc4237f8-6e56-42b4-affe-2c98f29f48ec,171168826,EY,Data Scientist - Financial Crimes - Bilingual,on_site,Toronto,2022-11-26T17:37:03.884Z,"

                                Data Scientist - Financial Crimes - Bilingual

                                +
                                Location: Toronto
                                +
                                Other locations: Anywhere in Country
                                +
                                Date: 28-Nov-2022
                                +

                                At EY, you will have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we are counting on your unique voice and perspective to help EY become even better too. Join us and build an exceptional experience for yourself, and a better working world for all.

                                -

                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                -
                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/9702?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-01-11T21:12:14.349Z,False,0,1,12,https://talenthub.vectorinstitute.ai/jobs/175047220-expert-data-engineering-at-cn,,expired,2022-12-08T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, -1da30298-a8ec-4325-a3d5-eee5ebb6e36c,175044350,BenchSci,Technical Lead - ML Engineering - Natural Language Processing (Remote),on_site,"Toronto, Ontario",2022-12-08T17:39:03.314Z,"
                                -
                                We are looking for a Technical Lead - ML Engineering to join our growing R&D team! Reporting to the Engineering Manager, you will run our end-to-end machine learning platform, from research to production ML models. You are well-versed in the nuances of the machine learning lifecycle and have a clear approach to measuring the improvement of our ML systems and their peers' workflows. The technical lead role is a unique expansion of the scope of a Senior ML engineer that takes on multiple facets of technical leadership, team building, and building our technical roadmap. You can expect to collaborate with your ML teammates and folks from MLOps, Data, and Science teams.
                                -

                                -
                                BenchSci is a remote-first organization. At this moment, we are welcoming applicants from Canada, the US and the UK for this position.
                                -
                                -

                                You Will:

                                -
                                    -
                                  • Design, build, evaluate and deploy robust, scalable, and production-ready ML models that enhance the speed and quality of life-saving research
                                  • -
                                  • Partner with the Engineering Manager and other Tech Leads to recruit and build the team
                                  • -
                                  • Lead or consult the authoring of engineering design proposals following the unified Platform Stream roadmap at BenchSci
                                  • -
                                  • Drive core components of our technical roadmap
                                  • -
                                  • Facilitate and make technical decisions in forums
                                  • -
                                  • Help define best practices based on personal industry experience and research across the Machine Learning team
                                  • -
                                  • Lead sprint planning, estimations, and code + design reviews
                                  • -
                                  • Oversee the solutions and long-term technology investments to inspire technical creativity at BenchSci
                                  • -
                                -
                                -

                                You Have:

                                -
                                    -
                                  • 4+ years of experience working as a professional developer applying machine learning techniques to solve business problems
                                  • -
                                  • Experience with Python and programming fundamentals
                                  • -
                                  • Experience with NLP (ideally including NER) and PyTorch
                                  • -
                                  • Experience with designing, building, and evaluating scalable production-ready ML models
                                  • -
                                  • Experience with complex problem solving and an eye for details such as scalability and performance of a potential solution
                                  • -
                                  • Experience with data manipulation and processing, such as SQL or pandas
                                  • -
                                  • Experience with building functional, production-level models in the cloud
                                  • -
                                  • Experience with planning projects
                                  • -
                                  • A desire to see teammates succeed together
                                  • -
                                -
                                -
                                Benefits and Perks:
                                -
                                An engaging remote-first culture
                                -
                                A great compensation package that includes BenchSci equity options
                                -
                                15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
                                -
                                Unlimited flex time for sick days, personal days, religious holidays
                                -
                                Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
                                -
                                A $2000 CAD* Annual Learning & Development budget
                                -
                                A $1000 CAD* home office set-up budget
                                -
                                A $2500 CAD*wellness, lifestyle and productivity spending account for employees
                                -
                                Generous parental leave benefits with a top-up plan or paid time off options
                                -
                                *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future. -
                                -

                                -
                                About BenchSci:
                                -
                                BenchSci's vision is to help scientists bring novel medicine to patients 50% faster by 2025. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                                -
                                Backed by F-Prime, Inovia, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                                -

                                -
                                Our Culture:
                                -
                                BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                                -
                                We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                                -
                                -You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture. -
                                -

                                -
                                -Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives. -
                                -

                                -
                                -Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com. -
                                -

                                -
                                #LI-Remote
                                -
                                ",,https://jobs.lever.co/benchsci/794bb0d8-02f8-4e52-948a-1ec20b8e5070?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-01-11T21:13:21.515Z,False,0,4,46,https://talenthub.vectorinstitute.ai/jobs/175044350-technical-lead-ml-engineering-natural-language-processing-remote-at-benchsci,https://jobs.lever.co/benchsci/794bb0d8-02f8-4e52-948a-1ec20b8e5070,expired,2022-12-08T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Mid-Senior Level,Masters Degree,New Posting, -e6b728a8-9052-4bd3-9499-fa2dd10cd093,176655741,Scotiabank,"Senior Manager, Data Ethics Design & Delivery",on_site,Canada : Ontario : Toronto,2022-12-12T17:22:04.125Z,"

                                +

                                We live in a new digital world with exciting new technologies and challenges. Businesses are re-evaluating the way they conduct business and undertaking strategic initiatives to enhance their operations to better serve their clients.

                                +

                                +

                                At EY, Data Scientist strives to implement innovative approaches to maximize harvests of strategic information, solving many of our clients’ biggest challenges. We are working to integrate this capability into our full range of Consulting service offerings and help clients leverage data as an asset across all their business processes.

                                +

                                +

                                The opportunity

                                +

                                +

                                Our Canada Financial Crime group is currently seeking a Senior Consultant in Data Science. In the context of anti-money laundering and terrorist financing activities, the group works closely with clients to enhance their ability to use and interpret data and model predictive models. This provides better support for decision-making, and better positioning to meet regulatory obligations. Our attentiveness and closer focus on details give clients an accurate overview and a better understanding of their risks.

                                +

                                +

                                The Financial Crime group provides innovative approaches that enable effective, documented and sustainable implementation of projects of high importance to our clients. We are working to integrate this expertise into our Consulting services, as well as all our internal projects, to leverage data as an asset across all business processes.

                                +

                                The Financial Crime group offers expertise and services across four core areas of competency:

                                +
                                • Data Management and Integration: providing the foundational layers for enterprise data accessibility, covering data sourcing and integration, data warehouse and modeling, master data management, and data rationalisation and migration.
                                • Data Quality and Governance: developing an organisation that treats data as a critical enterprise asset and sources quality data for business use and regulatory compliance. This includes examining the fitness for purpose of data for specific business needs, data remediation, and the strategy, roles, policies and processes to effectively manage data through its lifecycle.
                                • Reporting design, architecture and implementation of enterprise reporting solutions: This includes the end-to-end reporting lifecycle across advisory and strategy, identifying compliance reporting trouble spots and delivering achievable roadmaps, design and implementation.
                                • +Analytics: covers operational analytics, predictive analytics, industry models and analytics enablement, and provides actionable enterprise insight and delivers value from an enterprises data.
                                • +
                                +

                                Your responsibilities

                                +

                                +

                                As a Senior consultant in Data Science, you will apply your knowledge and experience to support the delivery of key projects, build valuable relationships both within EY and with clients, and develop strong capabilities through both formal training and working with senior mentors and talented colleagues across different functions. We succeed when we combine high performing team members from a variety of backgrounds. We will provide the required support to transition into the team if this is your first step into consultancy.

                                +

                                Specifically, these responsibilities will be assigned to you:

                                +
                                • Analyze, manipulate, structure, validate and transform various data sources
                                • Produce and document analyses of various data sources
                                • Act as a consultant for the implementation of specialized internal data processing solutions
                                • Act as a consultant for the configuration of various anti-money laundering and financial crime software
                                • Develop filter optimization algorithms to enforce international sanctions
                                • +Participate in client engagements and various internal projects
                                • +
                                +

                                Skills & attributes for success

                                +
                                • Ability to communicate ideas clearly (spoken and written)
                                • Ability to provide excellent client service and manage and build strong relationships both internally and externally
                                • Ability to be self-sufficient within large companies (financial institutions, specifically)
                                • Be versatile, rigorous and curious
                                • Enjoy teamwork
                                • +Have 5-10 years’ experience in data science role
                                • +
                                +

                                To qualify for the role you must have:

                                +
                                • Bachelor’s degree in computer science, mathematics, data science, informatics, operations research, engineering or a related field and approximately 3-5 years’ experience in related field. A Master’s degree is an asset.
                                • Strong Machine Learning, Deep Learning, and statistics background.
                                • Experience with large data sets using tools like SQL, Hadoop, Spark
                                • Advanced Programming skills in R or Python, and experience using an object-orientated programming language, such as Java, or Scala (preferred).
                                • Experience with model-development lifecycle, data preparation, modeling, and deployment
                                • Data processing such as ETL (and ideally some exposure to tools such as Ab Initio, Informatica, etc.), parsing and handling data quality-related issues
                                • Demonstrated strong technical problem-solving abilities as well as clear proficiency in handling computer hardware, software, and networks
                                • Knowledge of French and English (bilingual)
                                • +
                                +

                                +

                                Ideally, you’ll also have:

                                +
                                • Consulting experience
                                • Experience in other leading ETL packages (e.g. Informatica, DataStage)
                                • Experience with cloud technologies (Microsoft Azure, Databricks, AWS, GCP)
                                • Experience in Anti-money laundering/terrorist financing activities
                                • Experience in Fraud
                                • Experience in Risk Management
                                • Experience in Business Intelligence
                                • Experience in Solution Architecture
                                • Experience in Cyber Security
                                • +Experience in Business analysis/systems
                                • +
                                +

                                What we look for

                                +


                                We’re interested in passionate leaders with a strong vision and a desire to stay on top of trends in the IT Consulting space. If you have a strong passion for helping businesses achieve their IT strategy, this role is for you.

                                +

                                +

                                What we offer

                                We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package includes medical and dental coverage, both pension and 401(k) plans, a minimum of 15 days of vacation plus ten observed holidays and three paid personal days, and a range of programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

                                +
                                • The opportunity to manage a portfolio of talent within a designated service line
                                • A collaborative environment where everyone works together to create a better working world
                                • Excellent training and development prospects, both through established programs and on-the-job training
                                • +An excellent team of senior colleagues, dedicated to managing and varying your workload
                                • +
                                +

                                Diversity and Inclusion at EY

                                +

                                +

                                Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. From our actions to combat systemic racism and our advocacy for the LGBT+ community to our innovative Neurodiversity Centre of Excellence and Accessibility initiatives, we welcome and embrace the diverse experiences, abilities, backgrounds and perspectives that make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                                +

                                +

                                EY | Building a better working world

                                +

                                +

                                EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets.

                                +

                                +

                                Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate.

                                +

                                +

                                Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

                                ",,https://careers.ey.com/ey/job/Toronto-Data-Scientist-Financial-Crimes-Bilingual-ON-M5H-0B3/845997901/,feed-importer@jobboard.io,,,,2022-12-01T19:04:00.000Z,False,0,3,18,https://talenthub.vectorinstitute.ai/jobs/171168826-data-scientist-financial-crimes-bilingual-at-ey,https://careers.ey.com/ey/job/Toronto-Data-Scientist-Financial-Crimes-Bilingual-ON-M5H-0B3/845997901/,expired,2022-11-26T17:37:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Masters Degree,New Posting, +0b16812a-40f5-4beb-90b4-3421dd0c7a0e,164063817,Scotiabank,"Data Engineer, Data Management, AML/ATF Models and Analytics ( 1 year contract )",on_site,Canada : Ontario : Toronto,2022-11-07T17:22:02.280Z,"

                                -

                                Requisition ID: 169222

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                Requisition ID: 166774

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                +

                                +

                                *** This is a 1 year contract ***

                                Purpose

                                -


                                The CIDA team at Scotiabank is at the forefront of the journey to transform the Bank into a data centric organization through a cloud-first strategy, well governed data and innovative analytics to deliver impactful customer insights. The award-winning Data Ethics & Use team, an integral part of CIDA, is helping to drive this transformation by helping the organization embed data ethics into the cultural fabric. The key focus areas are the way data is used, shared, and accessed at an enterprise level.
                                The Data Ethics & Use team is industry leading in the field of operationalizing the ethical use of data, including responsible AI. The aim is to provide transparent, robust, and ethical data practices across the enterprise to enhance the protection of our customers’ data, and the way we deliver business value. We are looking to build our delivery team with innovators, forward thinker, technically savvy agile leaders who will continue driving the advancement of data ethics.

                                -


                                The role of the Senior Manager, Design and Delivery, Data Ethics & Use will:

                                -


                                • Be the product owner for our Data Ethics & Use tools and technologies
                                • Be viewed as a leader for data ethics technology by key partners, including our Business, Analytics, Enablement, Architecture, Technology, Information Security, Privacy, Data and AI Risk, Legal, teams, etc to name a few
                                • Own the data ethics technical strategy and roadmap on an annual basis
                                • Lead definition, development, planning, execution, and implementation of industry leading data ethics tools and processes
                                • Enable the Bank’s adoption of the data ethics tools on a global scale (including International Banking)
                                • Lead a high-performance team, with focus on coaching and development

                                +

                                As a data engineer/developer in Data Management, AML/ATF Models and Analytics team, you will contribute to building a better way to approach banking data for AML/ATF purposes by leveraging your engineering, analytical and communication skills to work with different business partners across the whole bank. This role will also involve the development of a web application and data design in a python framework.

                                -


                                Key Responsibilities:

                                -


                                • Identify industry best practices to contribute to the design of the data ethics function to maintain the industry leading position Scotiabank holds as it pertains to data ethics
                                • Work closely with Governance and Operations Pillar and Education and Partnerships Pillar to create a comprehensive, holistic, sustainable and customer centric data ethics strategy, and the associated tools and processes that enable the delivery of that strategy
                                • Design (or contribute to the design) of data ethics tools and processes and related automation, including other enterprise tools and processes supporting the data ethics mandate; designs must be cloud compatible/scalable
                                • Liaise with Data Office, Enablement and Enterprise Technology teams to design, develop, and implement data ethics tools, including managing the delivery risk
                                • Work with various stakeholders in a matrix organization
                                • Manage the SCRUM process and Kanban board for the projects
                                • Create project plans, maintain JIRA board and Confluence, as needed
                                • Create acceptance criteria for features being released and perform UAT testing to ensure acceptance criteria are met
                                • Ensure timely delivery and successful adoption of data ethics tools and processes
                                • Work with the Education and Partnership team to design and deploy user interfaces to support successful delivery of automation and education-based tooling
                                • Design and deploy an analytics suite to support throughput optimization of data ethics processes by identifying and tracking slippage and anomalies in an automated fashion, working with the Governance and Operations team to incorporate requirements
                                • Review, address and incorporate user feedback into our tools and processes, as required
                                • Work with the Governance and Operations team to design solutions to mitigate pain points in operational throughput
                                • Create and update procedural artifacts to support the rollout and operationalization of data ethics tools and processes (Governance and Operations has accountability over the process)
                                • Provides advice, counsel, and process enhancements for Data & Analytics with respect to tools and procedures that incorporate the Data Ethics tools, for example, within Universal Catalogue
                                • Ensure consistency and alignment on best practices across the organization.
                                • Manage the enterprise data sensitivity dictionary and partner with internal stakeholders to ensure proper usage and timely updates
                                • Work closely with representatives across the bank to ensure all activities are conducted in compliance with internal policies & procedures and emerging governing regulations
                                • Develop strong working relationships with partners across the organization, to ensure consistency and alignment on best practices
                                • Review business stakeholders’ implementation of data ethics framework for quality assurance and compliance
                                • Track and report on process performance and adherence, identifying areas of improvement and recommending practical and innovative solutions
                                • Participate in planning and retrospective sessions, attend stand-ups, etc. - we work in an agile environment
                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                • Lead a high-performance team-this is a people manager role where development and coaching is a focus
                                • Champion a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment, communicating vison/values/business strategy and managing succession and development planning for the team

                                +

                                Accountabilities

                                -


                                Functional Competencies:

                                -


                                • 5+ years of experience in business/financial services; or a post-secondary education in computer sciences, programming, or a similar vocation
                                • Strong technical acumen
                                • Project management skills in order to handle diverse projects, often simultaneously, and meet aggressive deadlines
                                • Worked in (or at the very least has a very strong understanding of) agile and/or scrum
                                • A high level of interpersonal and presentation skills at all levels including the Executive Management Level
                                • Able to work in a matrixed organization that has multiple stakeholders
                                • Ability to present ideas and facilitate discussions to build consensus at all levels
                                • Strong communication skills, both written and spoken, and an ability to convey technical concepts into “layman terms”
                                • Results orientation and pragmatic approach to decision-making
                                • Ability to work independently and solve complex problems through a collaborative style
                                • Self-motivated, solution driven individual and adaptable to a fast-paced environment
                                • Ability to exercise good judgment in selecting methods and techniques for obtaining solutions
                                • Ability to increase operating efficiency and produce high quality technical solutions
                                • Knowledge and understanding of data governance, data policy, privacy would be considered an asset
                                • Ability to drive success in a high performing, flexible and small team environment

                                +

                                •Deep dive into banking data, perform data profiling and analysis to determine better dimensional/hierarchical data for AML/ATF model and analytics.
                                •Design highly efficient backend data mart to support frontend application
                                •Develop python based web application to support AML requirements
                                •Work with technology partners such as the bank private cloud teams to build up and maintain cloud infrastructure
                                •Champion a customer focused culture to deepen client relationships by leveraging broader Bank systems and product knowledge
                                •Actively pursue effective and efficient operations of the respective fields, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

                                +

                                +

                                Skills / Experience

                                +

                                •Strong knowledge of python and SQL
                                •Familiarity with development within Linux environment
                                •Experieced in using python web application frameworks, like Dash, Flask, etc.
                                •Strong knowledge of data lifecycle for customer, account, and transactional data
                                •Strong and effective communication skills for managing expectations with diverse groups for stakeholders
                                •Familiarity with JavaScript, CSS, and HTML preferred

                                -

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Ethics-Design-&-Delivery-ON-M5A3X5/565902317/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-11T20:45:12.090Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/176655741-senior-manager-data-ethics-design-delivery-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Ethics-Design-&-Delivery-ON-M5A3X5/565902317/,expired,2022-12-12T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Post-Graduate Diploma,New Posting, -73fcf20c-8778-4315-8793-ae55371f261b,189559546,CIBC,"Associate, Quantitative Rotational Program",on_site,"Ontario, Canada",2023-01-23T17:06:04.258Z,"
                                -

                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                +

                                Education

                                +

                                +

                                •Bachelor's degree in computer science, engineering, or related fields
                                •AML knowledge or banking knowledge is an asset

                                +

                                +

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Data-Engineer%2C-Data-Management%2C-AMLATF-Models-and-Analytics-ON-M5H1B6/564933417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2022-12-05T14:51:00.000Z,False,0,11,45,https://talenthub.vectorinstitute.ai/jobs/164063817-data-engineer-data-management-aml-atf-models-and-analytics-1-year-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Engineer%2C-Data-Management%2C-AMLATF-Models-and-Analytics-ON-M5H1B6/564933417/,expired,2022-11-07T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Masters Degree,New Posting, +ffe06fe2-8c7e-408c-a5fe-eb507753f16f,164063559,BMO Financial Group,"Audit Manager, Data Science",on_site,"Toronto, ON, Canada",2022-11-07T17:12:03.821Z,"
                                +

                                Address:

                                55 Bloor Street West

                                +

                                +

                                Job Family Group:

                                Data Analytics & Reporting

                                +

                                +

                                +

                                +

                                An effective audit function provides vital assurance to the Board of Directors and senior management as to the quality and effectiveness of the internal control system and in so doing helps reduce the risk of loss and reputational damage to the Enterprise. The function is instrumental in identifying high risk circumstances that could lead to material impact on profitability or reputation.

                                -

                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                +

                                In this role you will apply your knowledge of advanced analytics algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enable smarter business decisions, improved customer experience and drive productivity for our business. You will use your strong communication and story-telling skills to summarize statistical/algorithmic findings to draw business conclusions, and present actionable insight in a way that resonates with business/groups. You will drive innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

                                -

                                To learn more about CIBC, please visit CIBC.com

                                +

                                Reporting to Senior Audit Manager, Data Science, the Audit Manager, Data Science is responsible for

                                -

                                Job Description

                                +
                                  +
                                • Build rule-based, statistical and machine learning models and pipelines via SQL and Python based framework
                                • +
                                • Automate analytics and author data pipelines via SQL and Python based ETL framework
                                • +
                                • Develop user interface for self-served analytics via Python and JavaScript based framework
                                • +
                                • Create and maintain internal documentation on projects, pipelines, tools, datasets, know-how and best practices
                                • +
                                • Contribute to design of roadmap for analytics and data science, e.g. discussions relating to project timelines, analytics adaptation, and training curriculum about AI / ML within audit
                                • +
                                • Share and promote success stories relating to completed projects within audit
                                • +
                                • Stay up to date on data, technologies, AI trends and workflows within BMO as they are developed, and help audit partners understand and prepared for relevant communications
                                • +
                                • Partner with various audit teams to identify opportunities to improve audit process via AI / ML, automation pipelines and analytics, and to define good metrics to measure and monitor such improvements
                                • +
                                • Partner with IT specialists across Technology and Operations to implement and productionize analytical and self-served solutions
                                • +
                                • Partner with IT specialists across Cloud Engineering and similar functions for experimentations relating to cloud-based analytical tools and services, should the need arise
                                • +

                                -

                                What You’ll Be Doing

                                -

                                Join our Quantitative Rotational Program as an Associate and make a real difference for our clients. This is a great opportunity to work under the leadership of our quantitative teams within Risk Management and Internal Audit. In the program, you will be provided with the opportunity to gain comprehensive experiences in developing, validating, implementing, managing and auditing various types of quantitative models. You’ll be part of a two-year program that consists of four, six-month rotations through various quantitative departments within CIBC that will provide you with the necessary experience and exposure to become an effective leader.

                                +

                                Qualifications:

                                +
                                  +
                                • Master’s degree or higher in a Quantitative or Technical field
                                • +
                                • Typically 5 - 7 years of experience
                                • +
                                • Solid understanding of statistical modeling and data science methods
                                • +
                                • Proficiency in SQL and Python
                                • +
                                • Experience with Unix/Linux shell
                                • +
                                • Experience working cross-functionally and communicating technical content to general audiences
                                • +

                                -

                                During your rotations, you will be part of the Quantitative Risk, Model Quantification and Model Validation within Risk Management, Model Risk teams within our Internal Audit department. Once you have successfully completed the program, you will be assisted in securing a full-time permanent role, preferably in one of the quantitative departments you worked with during your rotations. You will be part of a team that focuses on designing tools and reports to make the analysis process more efficient and streamlined. You’ll have an opportunity to prepare management summaries describing the mathematical analytics of models, validation techniques, test results, and model limitations, including recommendations for further improvements. You’ll perform, analyze and document the calibration and parametrization of the models used, define and monitor controls to ensure the appropriateness of the parameters used along with running back testing for models and analyze the impact of model behavior on risk management measures, as well as the impact of changes in capital from the model performance and how they affect the business.

                                +

                                Preferred Qualifications:

                                +
                                  +
                                • Experience initiating and driving projects to completion with minimal guidance
                                • +
                                • Experience with web development
                                • +
                                • Experience with distributed computing and cloud services
                                • +
                                • Knowledge of SAS and R
                                • +
                                • Knowledge of agile methodology
                                • +
                                +

                                +

                                +

                                We’re here to help

                                -

                                As a QRP Associate, you will also have a chance to assist in the development and testing of new modelling methodologies, and effectively challenge these models through benchmark modelling and model validation. Additionally, we will look to you to provide assurance with respect to governance, the control environment, and compliance with regulatory requirements around model risk management through participating model specific and model governance audits and managing small and less complicated audit assignments and initiatives.

                                +

                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                -

                                Important Information

                                +

                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                +

                                +

                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                +

                                +

                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                +

                                +

                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                +
                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Audit-Manager--Data-Science_R220029093?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://bmocareers.com/,,,2022-12-05T14:51:00.000Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/164063559-audit-manager-data-science-at-bmo-financial-group,,expired,2022-11-07T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +2075e55c-7db5-46b3-bcd9-34c53ecbb3eb,168114353,Shopify Inc.,"Senior Data Scientist - Merchant Services (Remote, North America)",on_site,"Ontario, Canada",2022-11-17T17:42:11.102Z,"

                                About the role

                                Data science is a crucial part of Shopify’s mission to make commerce better for everyone. We’re the only team able to talk to all of our merchants; we represent their voice here at Shopify. not only when we build for them, but when we figure out what to build and how to build it. This principally includes two types of work: building products directly backed by data (e.g. machine learning models), and listening to their voice to figure out what to build and how to build it.

                                +

                                Our Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.

                                +

                                Team Specific Details:

                                +

                                Within Merchant Services, our job is to build superpowers that put small businesses on a level playing field with the largest e-commerce players.

                                +

                                As a Senior Data Scientist, you are expected to play a crucial role pushing forward product development. Senior Data Scientists do this by informing product strategy and execution, building a strong operating picture allowing us to move quickly, and/or improving underlying algorithms, heuristics and rules powering individual products. We expect a high degree of autonomy and proactivity.

                                +

                                Responsibilities:

                                +
                                  +
                                • Proactively identify and champion projects that solve critical problems for merchants

                                • +
                                • Partner closely with product, engineering and other business leaders to influence product and program decisions with data

                                • +
                                • Own the operating picture and use a strong analytical toolbox to highlight opportunities and guide execution

                                • +
                                • Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products

                                • +
                                • Influence leadership to drive more data-informed decisions

                                • +
                                • Define and advance best practices within data science and product teams

                                • +

                                Qualifications

                                  +
                                • 4-6 years of commercial experience as a Data Scientist ​​​​​​solving high impact business problems

                                • +
                                • Proficiency in SQL and experience with software engineering fundamentals

                                • +
                                • Experience with applied statistics and general quantitative problem-solving

                                • +
                                • Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders

                                • +
                                • Curiosity about the problem domain and an analytical approach

                                • +
                                • Strong sense of ownership and growth mindset

                                • +
                                +

                                +

                                Experience with one or more:

                                +
                                  +
                                • Deep understanding of advanced SQL techniques

                                • +
                                • Expertise with statistical techniques and their applications in business

                                • +
                                • Masterful data storytelling and strategic thinking

                                • +
                                • Deep understanding of dimensional modelling and scaling ETL pipelines

                                • +
                                • Experience launching productionized machine learning models at scale

                                • +
                                • Extensive domain experience in e-commerce, marketing or SaaS

                                • +
                                All your information will be kept confidential according to EEO guidelines.

                                Our belief is that a strong commitment to diversity & inclusion enables us to truly make commerce better for everyone. We encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. Please take a look at our Sustainability Reports to learn more about Shopify’s commitments to our communities, and our planet.

                                +

                                At Shopify, we understand that experience comes in many forms. We’re dedicated to adding new perspectives to the team - so if your experience is this close to what we’re looking for, please consider applying.

                                ",,https://www.shopify.com/ca/careers/senior-data-scientist-merchant-services-remote-north-america_d546a99f-74cd-42a6-a4a5-22cbb2096510,feed-importer@jobboard.io,,,,2022-12-05T17:47:06.368Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/168114353-senior-data-scientist-merchant-services-remote-north-america-at-shopify-inc,,expired,2022-11-17T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Information and Media),Mid-Senior Level,Masters Degree,New Posting, +bd94e127-9df3-418c-9ccd-26ee7f1edd44,177791777,Sun Life Financial,Senior Data Scientist,on_site,"Ontario, Canada",2022-12-15T17:41:01.624Z,"
                                +

                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                +

                                +

                                +

                                Job Description:

                                +

                                +

                                Role Summary

                                +

                                +

                                Within Sun Life, the Analytics & Insights teams are comprised of savvy and intellectually curious professionals who are on a mission to transform how we apply data and analytics to support Sun Life becoming client-centric. An integral part of the Analytics & Insights organization, the Data Science team supports Canadian business units in their journey to leverage data and analytics as a foundational pillar in delivering business value

                                +

                                +

                                Reporting to the Director, Data Science, as a Senior Data Scientist you will focus on supporting Canadian business units in accelerating the growth and application of analytics in driving value. The senior data scientist will leverage practical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases.

                                +

                                +

                                Sun Life views success in this role in demonstration of these key attributes:

                                +

                                Fierce curiosity. You are drawn to discovering and leveraging new data and taking on challenging business puzzles. An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing. A passion for solving problems. The most successful data scientists’ solution for what the right data to use, they solve using the most suitable (not most advanced) algorithms for the problem at hand and figure out how to execute and deliver with highest efficiency. Technical skills in both data and computer science. There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured data (SQL) Thirst for learning. You are a data scientist who is constantly updating their knowledge of data science state-of-the-art.

                                +

                                +

                                What will you do?

                                  -
                                • You have a Master’s or Doctor’s degree in related programs e.g. Financial Engineering, Math, Physics and will graduate in 2023.
                                • -
                                • Please include your resume (no more than 2 pages), a cover letter (no more than 1 page), and your most recent unofficial transcript with your application. Please upload all documents as one PDF file into the Resume section of your application. -
                                • -
                                • Work Location: Toronto (exact location to be decided during interview).
                                • -
                                • Duration of Program: 2 years (four, 6-month rotations).
                                • -
                                • Available start dates are in 2023 (to be confirmed during interview stage).
                                • -
                                • This job posting closes on February 5th at 11:59pm.
                                • +
                                • Be able to engage with business stakeholders to understand business outcomes. Comfortable to translate business goals into analytical problems.

                                • +
                                • Be able to work in cross functional teams to develop an ML/data science product

                                • +
                                • Be able to break down broader data science development milestones into smaller goals, activities, and a work plan

                                • +
                                • Apply best in breed data science including descriptive, predictive and machine learning techniques from the design to implementation that impacts the business.

                                • +
                                • Focus on Feature Engineering, Model Training and Model Evaluation in addition to data munging / wrangling

                                • +
                                • Identify the right algorithms and statistical techniques for a specific project as well as the best features for a model. Advise junior members on the same.

                                -

                                -

                                How You’ll Succeed

                                  -
                                • -Project Management – You manage assignments through effective planning, execution, collaboration and communication to ensure timely delivery of high-quality results. -
                                • -
                                • -Risk Focused – You understand the importance of maintaining and evolving processes and control to mitigate model risks arising from an ever-changing business. You will also act as a champion for existing processes, working with key stakeholders and partners. -
                                • -
                                • -Communication and Relationship Management - You will build and develop relationships with key business contacts, governance functions and oversight groups to become a true partner to the business. -
                                • -
                                • -Passion – you will prove your risk focus and passion by demonstrating continuous improvement ideas that will enable CIBC’s model risk management practices to stand out in today’s competitive landscape. -
                                • +
                                • Make business recommendations with effective presentations of findings at multiple levels of stakeholders

                                • +
                                • An active contributing member to the analytics community to help foster and grow the data science community at Sun Life

                                • +
                                • Champion and support diversity and inclusion

                                -

                                Who You Are

                                +

                                What will you need to succeed?

                                  -
                                • -You can demonstrate experience in the use of mathematical, computer science, and statistical techniques, such as predictive modeling, analytics, and machine learning. -
                                • -
                                • -You give meaning to data. You enjoy investigating complex problems and making sense of information. You\'re confident in your ability to communicate detailed information in an impactful way. -
                                • -
                                • -Your attention to detail is second to none and you pick up things that others miss. -
                                • -
                                • -You enjoy finding innovative solutions to problems that will make a difference today and in the future. -
                                • -
                                • -You embrace change and look to evolve your thinking and the way you work to deliver your best. -
                                • -
                                • -Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability. -
                                • +
                                • BSc/M.S. in a statistical, mathematical, or technical field (i.e., computer science) or equivalent experience

                                • +
                                • 3+ years experience in developing and implementing data science techniques (predictive, prescriptive, ML etc.)

                                • +
                                • Comfortable writing complex SQL queries to extract and integrate data from multiple database sources

                                • +
                                • Proficient in using one or more statistical programming languages (i.e., Python) for data science

                                • +
                                • Experience with AWS services including SageMaker

                                • +
                                • Experience with machine learning including supervised and unsupervised models

                                • +
                                • Demonstrated experience in data transformation & data manipulation

                                • +
                                • Experience working with Structured vs. Unstructured data

                                • +
                                • Experience with Big Data Technologies: Hadoop, HDFS, Hive, HBase, Spark is strongly desirable

                                • +
                                • Effective and concise oral and written storytelling and insights communication skills

                                • +
                                • Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities

                                • +
                                • Ability to document work and effectively prioritize documentation

                                • +
                                • Ability to work with junior data scientists, data engineers, ML engineers and guide their work if needed

                                -

                                What CIBC Offers

                                -

                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                +

                                What will be nice to have?

                                  -
                                • We work to recognize you in meaningful, personalized ways including a competitive compensation, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                                • -
                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                • -
                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                • +
                                • Past experience in life insurance/wealth management, or other financial services industry (e.g., retail banking, credit card, property and casualty insurance)

                                • +
                                • Past experience working in Agile delivery model

                                • +
                                • Past experience in developing and deploying production grade model in cloud infrastructure

                                -

                                What you need to know

                                +

                                Unique Requirements

                                +

                                +

                                The candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the information on Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                +

                                +

                                What\'s in it for you?

                                +

                                  -
                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                • -
                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                • +
                                • Remote/ Hybrid Work environment

                                • +
                                • Competitive salary and bonus structure influenced by market range data

                                • +
                                • 20 days vacation per year and an innovative sabbatical program

                                • +
                                • A friendly, collaborative and inclusive culture

                                • +
                                • Being part of our Analytics community, where we share best practices and broaden skill-sets

                                • +
                                • Flexible Benefits from the day you join to meet the needs of you and your family

                                • +
                                • Pension, stock and savings programs to help build and enhance your future financial security

                                • +
                                • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                                +

                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                +

                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                +

                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                -

                                -

                                Job Location

                                Toronto-81 Bay, 20th Floor

                                Employment Type

                                Regular

                                -

                                Weekly Hours

                                37.5

                                Skills

                                -

                                Management Practices, Risk Management
                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Associate--Quantitative-Rotational-Program_2300685?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-02-06T17:11:02.871Z,False,0,5,25,https://talenthub.vectorinstitute.ai/jobs/189559546-associate-quantitative-rotational-program-at-cibc,,expired,2023-01-23T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Masters Degree,New Posting, -96a14651-7744-415f-849f-eeed5e6f8f40,189570701,Thales,Cloud Database Administrator,on_site,"Ontario, Canada",2023-01-23T17:42:05.971Z,"
                                Location: Ottawa, Canada

                                -

                                Thales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billons of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure.

                                -

                                -

                                -

                                -

                                We are currently recruiting for a talented Cloud Database Administrator to provide support of this complex state-of-art solution. This role will provide you with the opportunity to learn the latest IT solutions and security concepts, within a like-minded supportive talented team.

                                +

                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                -

                                Thales offers global cloud-based authentication services for high-profile customers with the most versatile and highest security practices implemented. We provide identity and access management services to thousands of customers worldwide

                                +

                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                -

                                Key Responsibility

                                +

                                Salary Range:

                                80,000/80 000 - 130,400/130 400

                                +

                                Job Category:

                                Advanced Analytics

                                +

                                Posting End Date:

                                15/01/2023
                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Scientist_JR00073206-2?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-01-14T20:41:46.116Z,False,0,5,24,https://talenthub.vectorinstitute.ai/jobs/177791777-senior-data-scientist-at-sun-life-financial,,expired,2022-12-15T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +d54cd684-b80e-4d00-af8d-7886a742f200,183865713,Scotiabank,"Manager, Enterprise Growth Marketing & Strategy - Personalization",on_site,Canada : Ontario : Toronto,2023-01-05T17:22:04.330Z,"

                                +

                                +

                                +

                                +

                                Requisition ID: 167276

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                +

                                As a Manager, Enterprise Growth Marketing & Strategy - Personalization, you will collaborate with Product Marketing, Analytics, Paid Media and Journey Management teams to identify data-driven insights and help define marketing audience strategies. You will own audience development, strategy, execution and measurement from end-to-end to enable a customer-centric journey. Also, you will play a key role in delivering against marketing KPIs.

                                Responsibilities

                                • Provide thought leadership and strategy on the use of audience data and insights
                                • Work with stakeholders across multiple business lines to determine opportunities for personalization strategies across acquisition, engagement and retargeting to impact overall companies performance
                                • Provide support for audience creation and activation on media platforms for various campaigns
                                • You will possess strong analytic skills, problem solving skills combined with deep technical knowledge with advertising platforms
                                • Collaborate with Paid Media team to create and deliver results-driven online advertising campaigns as part of overall digital marketing strategy
                                • Collaborate with data analytics partners to identify data opportunities for segmentation, data modeling and reporting
                                • Support and plan roadmaps to prepare business lines for cookie deprecation
                                • Bring in new ideas around segmentation leveraging data internally and through data partnerships
                                • Be proactive in audience creation and optimization initiatives
                                • Experience delivering complex technical content to large groups
                                • Experience in creating compelling data-driven presentations

                                Qualification

                                • 5 years of experience leading audience strategy
                                • Experience using Adobe Audience Manager or any other DMPs
                                • Strong knowledge of digital landscape, digital marketing strategies and tactics
                                • Experience working with media buying digital platforms i.e. DV360, Meta, Pinterest and Amazon as a few
                                • Strong knowledge in analytics platform and audience insights platform i.e. Adobe Analytics, Google Analytics, Environics, Google Trends
                                • Have knowledge around CRM data and behavioural data attributes (1st, 2nd and 3rd party)
                                • Experience activating audience segments across advertising platforms
                                • Team player and quick learner
                                • Experience in communicating strategy and briefs to multiple stakeholders
                                • Strong written and oral communication skills

                                Nice to Have
                                • Experience working with Customer Data Platform
                                • Ability to work with raw data using R, Python or SQL
                                • Experience working with Google Cloud platform

                                +

                                +

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Enterprise-Growth-Marketing-&-Strategy-Personalization-ON-M5C2W1/565354917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-01-16T21:42:00.000Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/183865713-manager-enterprise-growth-marketing-strategy-personalization-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Enterprise-Growth-Marketing-&-Strategy-Personalization-ON-M5C2W1/565354917/,expired,2023-01-05T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +a6c6d19b-a08e-4791-8ab3-b180ccedf644,183865770,TD Bank Group,Data Scientist I,on_site,"Toronto, ON",2023-01-05T17:24:03.340Z,"
                                +

                                Company Overview

                                +
                                +

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                +

                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                +
                                +

                                +

                                Department Overview

                                +

                                We are looking for world-class engineers to tackle cutting-edge problems of applying Machine Learning (ML) in the real world. Working across TD, you will be part of a leading financial services brand, have access to some of the largest datasets and innovate with leading machine learning scientists and engineers. Unleash the power of Machine Learning by helping us engineer models that scale and are rapidly deployable and, in the process, positively impact millions of customers. The goal of the team is to develop framework and automation solutions to help build and deploy robust and high-performing models through introducing software engineering best-practices.

                                +

                                +

                                Job Description

                                +
                                +

                                About this Role

                                +

                                As Machine Learning Engineer at TD, you will work with ML Scientists to learn their modelling workflow, so that you can design abstractions and build components that can be combined to build high quality models. You will work to develop and/or integrate tools that help with model monitoring, governance and explainability. You will work with ML Platform team to make sure these models can be trained and deployed on our computing infrastructure, taking advantage of cloud technologies like Azure Kubernetes and more.

                                +

                                Must-Have

                                  -
                                • Analyze product requirements and identify the best database solution, technology, and tool.
                                • -
                                • Ensure database consistency of the projects by resolving any constraints.
                                • -
                                • Develop database installation and upgrade script, which is part of CI/CD.
                                • -
                                • Provide workload estimation of customization, features, and component level.
                                • -
                                • Forecast, inform risk/concern on task, team, or project level, and propose mitigation plans.
                                • -
                                • Provide technical solutions, support, and perform several activities for a new or customized database of products/components used in the project which includes but is not limited to database design, installation, upgrade, migration, backup, recovery, failover, HA, hardening, monitoring, etc.
                                • -
                                • Review other DevOps code as necessary.
                                • -
                                • Orchestrate and optimize the database activities of several databases, schemas, and components in one project or solution.
                                • -
                                • Manage system/network configuration and monitoring.
                                • -
                                • Strategize and plan for data migration, and develop data migration script if required by the project.
                                • -
                                • Support, investigate and propose solutions/workarounds for production issues related to the database.
                                • -
                                • Provide documentation as appropriate including design documentation, comments in code, and end-user documentation
                                • -
                                • Consult with other technical team members and management on industry best practices.
                                • -
                                • Maintain and enhance internal tools
                                • -
                                • Provide input to improve the scalability and reliability of infrastructure to our Automation Architects
                                • -
                                • Deploy and assist with the maintenance of automation technologies
                                • -
                                • Participate in the on-call schedule & Provide L2/L3 Support to our Services desk and R&D teams
                                • -
                                • Document all build and run procedures when implementing new automation technologies.
                                • +
                                • Experience working on high-performance engineering teams and being part of cross-functional delivery teams
                                • +
                                • Experience with building and scaling data-intensive software in Python
                                • +
                                • Knowledge of machine learning modelling workflow and manage machine learning lifecycle
                                • +
                                • Experience building and manage a machine learning data pipeline
                                • +
                                • You value good software design and sweat over details in code and API design
                                • +
                                • You enjoy learning new technology and educating others
                                • +
                                • You strive to communicate clearly and with empathy
                                • +
                                • You take great personal pride in building robust and scalable software
                                • +
                                • You are highly accountable and have a strong sense of ownership
                                • +
                                • Ability to do detailed code reviews and give thoughtful feedback
                                • +
                                +

                                Nice to have:

                                +
                                  +
                                • Experience building a library or a framework
                                • +
                                • Knowledge of machine learning algorithms
                                • +
                                • Experience with Azure cloud stack
                                • +
                                • Data analytics
                                • +
                                • Knowledge with C++
                                • +
                                • Knowledge of one of javascript framework, such as React, Vuejs or Angular
                                +

                                -

                                Required Skills and Exerience

                                +

                                Requirements

                                +
                                +What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                  -
                                • 5+ years experience in Cloud Native database technologies including RDS,MSSQL, CloudSQL, Cloud Spanner, etc.
                                • -
                                • 5+ years experience in deploying and supporting different flavors of Cloud and OnPrem databases including MSSQL, MySQL, Postgres, MongoDB, etc.
                                • -
                                • 5+ years must have experience with orchestration and Automations tools (Helmcharts, Ansible, Terraforms, Yaml, Python, Json)
                                • -
                                • 5+ years experience in SQL programming, bash scripting etc.
                                • -
                                • Experience in configuring and maintaining different database replication methodologies.
                                • -
                                • Strong interest in performance and security. Involvement in application server deployment including System setup, monitoring and Network configuration
                                • -
                                • Understanding of operational concepts like change management, on-call rotations, escalations, uptime, etc
                                • -
                                • Experience in managing production systems on a very large scale
                                • -
                                • Experience with security-relevant protocols
                                • -
                                • Deep understanding of one of the major OS families (Linux or Windows)
                                • -
                                • Adhere to security best practices from design to implementation and operations
                                • -
                                • Experience with PaaS technologies (K8s, OpenShift, etc.)
                                • -
                                • Experience with building pipelines for Infrastructure as a code using Terraform
                                • -
                                • Ability to work in an extremely geographically distributed company
                                • -
                                • Excellent communication skills across multiple mediums
                                • +
                                • University or post-graduate degree
                                • +
                                • Strong academic background (e.g., computer science, engineering)
                                • +
                                • 2+ years relevant experience
                                -

                                -

                                -

                                Thales is an equal opportunity employer which values diversity and inclusivity in the workplace. Thales is committed to providing accommodations in all parts of the interview process. Applicants selected for an interview who require accommodation are asked to advise accordingly upon the invitation for an interview. We will work with you to meet your needs. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.

                                -
                                ",,https://thales.wd3.myworkdayjobs.com/en-US/Careers/job/Ottawa/Cloud-Database-Administrator_R0191124-1?q=Data+Ontario&jobFamilyGroup=47200b8529d910216a6cd92c6e3634d2,feed-importer@jobboard.io,,,,2023-02-07T23:07:00.000Z,False,0,1,4,https://talenthub.vectorinstitute.ai/jobs/189570701-cloud-database-administrator-at-thales,,expired,2023-01-23T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Manufacturing ,Senior Level,Bachelors Degree,New Posting, -92ba831e-82cb-4312-b5dd-0105b0378188,190518279,TD Bank Group,Business Insights & Analytics Associate (Undergraduate),on_site,"Toronto, ON",2023-01-27T17:24:05.213Z,"
                                +
                                +

                                +

                                Additional Information

                                +
                                +#LI-Hybrid #datascientist
                                +

                                +

                                Hours

                                +
                                37.5
                                +

                                +

                                Inclusiveness

                                +

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                +

                                +
                                ",,https://jobs.td.com/en-CA/jobs/17480967/data-scientist-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-16T21:45:00.000Z,False,0,7,38,https://talenthub.vectorinstitute.ai/jobs/183865770-data-scientist-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17480967/data-scientist-i-toronto-ca/,expired,2023-01-05T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +84588dae-1319-41c8-8fe4-692913414a7a,181831458,TD Bank Group,Sr Business Info Mgmt Analyst,on_site,"Markham, ON",2022-12-29T17:24:02.649Z,"

                                Company Overview

                                -

                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer. Why TD?

                                -

                                TD’s Colleague Promise: A better you. A better us.

                                -

                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                +

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                +

                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                Department Overview

                                -

                                Our Associate Programs offer new graduates experience within one TD’s many lines of business, and the chance to work alongside experienced colleagues, work on challenging projects and assignments, and receive coaching and mentorship from business leaders and the Early Talent Experience team, to set you up for success in your career at TD.

                                -

                                Associate Role Profile:

                                -
                                  -
                                • 1-year in-depth experience, complemented by programming, coaching, tools and support
                                • -
                                • This is a full-time, permanent position
                                • -
                                -

                                In addition, as an Associate you have access to programming, tools and a community of support for your pursuits and interests beyond the 9-5. This includes leadership talks, lunch and learns, self-development workshops, TD sponsored conferences, socials, team challenges, volunteer opportunities, career coaching and more. You will be part of a cohort along with other TD Associates from across Canada! If one of our over 20+ Associate programs is of interest to you, please read on and apply today.

                                +

                                Business Information Management (BIM) at TD is part of a creative, enterprise-wide data and analytics ecosystem. Roles in BIM are highly professional and valued, specialized yet inter-connected and focused on making the availability of business information to designers, developers and decision-makers a priority, all with a united purpose to serve customers and continually build a better bank.

                                +

                                We’re looking for analytical and agile professionals who can merge and translate data into technology and business information, serving today’s business needs and setting in motion TD’s longer-term goals and strategic objectives.

                                +

                                If you get data, its power and potential, we think you’ll love working at TD, where data knows no bounds and where your professional expertise will help to drive the business forward and take your own career to new heights.

                                Job Description

                                -

                                The Data & Analytics Associate Program is a 1-year enhanced development opportunity in analytics and data. The Business Insights & Analytics Associate will perform a variety of activities, which may include:

                                +

                                Are you an expert level business information analyst, equipped with both conceptual and practical expertise in business information management? If so, this role offers a hands-on and high-career growth opportunity to provide business technical leadership across a broad range of information management functions to support various areas of data and analytics.

                                +

                                Enjoy partnering with colleagues and directing data traffic? In this advanced professional role, you’ll work both independently and within teams as a senior lead analyst. Colleagues and business partners will look to you to manage and direct activities related to analysis, design and support of business data management solutions, including larger projects.

                                +

                                As a Senior Business Information Management Analyst, you will:

                                  -
                                • Perform data queries and prepare data sets for analysis/modelling, including cleaning data and feature engineering
                                • -
                                • Analyze large data sets and identify trends and insights to inform business decisions; communicate findings to technical and non-technical audiences
                                • -
                                • Collaborate with team members and business partners to develop, test and deploy analytics solutions, for example: forecasting, optimization, or pricing models
                                • -
                                • Proactively identify business problems and opportunities where a data-driven solution would be appropriate and develop proposals / approaches
                                • -
                                • Collaborate with business partners to support the business case development process for analytics solutions
                                • +
                                • Be the expert-level team analyst, considered an authority with in-depth knowledge and experience in your field of specialty as well as working knowledge of broader related areas
                                • +
                                • Lead projects of moderate to complex risk and resource requirements; may lead end-to-end processes or functional programs
                                • +
                                • Analyze and understand business and data requirements to develop complete business solutions (e.g. analysis of data models, entity relationship diagrams, data lifecycle management, governance, lineage, metadata and reporting elements)
                                • +
                                • Develop business requirements; design and implement complex business data information management frameworks
                                • +
                                • Apply automation and innovation on data platforms and on new development projects / initiatives
                                • +
                                • Conduct a range of data analyses, demonstrating your in-depth experience with very large datasets and big data technologies; assessing business information-related data requirements aligned to business needs and for specific data platforms, applications systems and servers
                                • +
                                • Partner and collaborate with business and technology partners to resolve data / application issues and ensure requirements delivery
                                • +
                                • Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality and innovation and, ensure timely communication of issues/points of interest

                                Requirements

                                +

                                What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                  -
                                • JOB REQUIREMENTS
                                • -
                                • Must be graduated between May 2021 and May 2023 with an Undergraduate degree in Business, Management, and/or Data Analytics or related.
                                • -
                                • Strong statistical and analytical skills and interest are necessary.
                                • -
                                • Experience with analyzing large data sets, drawing insights and inferences, and communicating outputs.
                                • -
                                • -Experienced in one or more of: -
                                • -
                                • Strong technical knowledge and experience with at least one of: R, Python, SQL, SAS, Java, or C/C++
                                • -
                                • Technical knowledge or experience with Hadoop, Spark and Cloud.Experience with Data Management, and Project Management is a plus.
                                • +
                                • Undergraduate degree or technical certificate
                                • +
                                • Five (5) or more years relevant experience from a business administration, statistical, mathematical, scientific or financial background
                                • +
                                • Sound conceptual knowledge in your area of specialty
                                • +
                                • Fluent in one or two programming languages
                                • +
                                • Advanced analytical and problem-solving skills
                                • +
                                • Proficient knowledge of various data sources, tools and technologies used in preparing summaries/reports
                                • +
                                • In-depth knowledge of competitor and market trends
                                • +
                                • Proficient to analyze, organize and prioritize work while meeting multiple deadlines
                                • +
                                • Expertise in using analytical software tools, MS Office, data analysis methods and reporting techniques
                                • +
                                • Strong ability to work collaboratively and independently, communicate effectively (both speaking and writing), follow instructions/direction, and help building relationships across teams and functions
                                • +
                                • Act as a brand champion for our business area / function and TD, both internally and externally
                                -

                                Must have strong leadership qualities including demonstrating initiative, establishing priorities and using strong communication, analytical and problem-solving skills to add value to each initiative, project or team assigned to. Able to participate as part of a team with targeted deliverables, working on initiatives designed to improve decisions, processes, systems, and applications which support our key businesses. Remain current with emerging trends and technologies in this field.

                                Additional Information

                                -

                                ADDITIONAL INFORMATION

                                -
                                  -
                                • Application Deadline: February 5th, 2023
                                • -
                                • Anticipated Start Date: July 2023
                                • -
                                • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                • -
                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                • -
                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                • -
                                • TD is committed to providing you with the best candidate experience in these unique circumstances. As such, work location and start dates are subject to change.
                                • -
                                -
                                • -HOURS

                                  Monday-Friday, standard business hours.

                                  -

                                  INCLUSIVENESS

                                  -

                                  At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                  -
                                -
                                +#LI-Hybrid #dataengineer

                                Hours

                                37.5

                                -

                                Start Date

                                -
                                – Summer
                                -

                                Inclusiveness

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                -
                                ",,https://jobs.td.com/en-CA/jobs/17556952/business-insights-analytics-associate-undergraduate-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-07T23:10:00.000Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/190518279-business-insights-analytics-associate-undergraduate-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17556952/business-insights-analytics-associate-undergraduate-toronto-ca/,expired,2023-01-27T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Entry Level,Bachelors Degree,New Posting, -cbd78f0a-44a0-4f19-a89c-6115a2862c15,186278243,TELUS,Data Ethicist - REMOTE,on_site,"Ontario, Canada",2023-01-12T17:42:04.341Z,"
                                -
                                -

                                Description

                                -
                                -


                                Join our team and what we\'ll accomplish together

                                -


                                The TELUS Data & Trust Office provides world-class, innovative privacy solutions to TELUS. We partner with teams across the organization to advance our corporate priorities, support innovation and ultimately deliver on our promise to safeguard our customers\' privacy and to earn and maintain their trust. As the Data Ethicist, reporting to the Director of Data Ethics & Governance, you will provide thought-leadership and work with a cross-functional group focused on enabling a framework for responsible use of data, including health data. You will guide the design and development of data research, data-driven products and services in accordance with ethical principles.

                                -


                                You will be a champion for data ethics across the organization and you will advocate for TELUS’ Trust Model as the fundamental driver for all of our decisions around data, recognizing how critical customer and team member trust is to TELUS’ mission. Your commitment to data ethics will support our business needs as well as our position on social capitalism as we seek opportunities to innovate with data, including health data, for social good and specifically to address some of society’s most pressing problems.

                                -


                                Here’s how

                                -

                                +
                                ",,https://jobs.td.com/en-CA/jobs/16911971/sr-business-info-mgmt-analyst-markham-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-01-18T17:29:06.466Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/181831458-sr-business-info-mgmt-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16911971/sr-business-info-mgmt-analyst-markham-ca/,expired,2022-12-29T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +5ba101ec-ee95-49e1-8d7b-6418c9af2738,183877268,Unity Health Toronto,Data Engineer ,on_site,"Toronto, ON, Canada",2023-01-05T18:37:55.982Z,"

                                NOTE: Position is hybrid: 1-2 days in office, the rest of week days remote

                                +

                                Unity Health Toronto, comprised of Providence Healthcare, St. Joseph’s Health Centre and St. Michael’s Hospital, works to advance the health of everyone in our urban communities and beyond. Our health network serves patients, residents and clients across the full spectrum of care, spanning primary care, secondary community care, tertiary and quaternary care services to post-acute through rehabilitation, palliative care and long-term care, while investing in world-class research and education. Join our team in our mission to continue to put patients and families at the centre of everything we do, in the role of Data Engineer Data Science & Advanced Analytics.

                                +

                                The Data Science and Advanced Analytics (DSAA) team at Unity Health Toronto (UHT) is an advanced healthcare data analytics group that uses scientifically rigorous methods to conduct meaningful analyses that generate data-driven insights so clinicians and management can make better decisions, increase hospital efficiency, and improve patient care.

                                +

                                The role of the data engineer is to extract, transform and load data from source systems (EHRs, administrative databases, registries, etc) into repositories or pipelines so that the data can be used for analytics (reporting, business intelligence, statistical modeling, machine learning, etc). The scope of this role is end-to-end, such that it includes all activities from requirements gathering and database analysis, to pipeline design and programming, to ongoing QA and maintenance of data pipelines and target data systems.

                                +

                                Duties and Responsibilities

                                  -
                                • Provide ethical analysis and questioning for the implications of data use and technology evolution that is fair and transparent, considering the experience of a broad range of stakeholders to identify potential unintended consequences and impacts
                                • -
                                • Establish the data ethics framework to ensure there is understanding, consideration and foresight into the issues raised by previously unimaginable uses of data and the development of emerging technologies like AI
                                • -
                                • Enhance understanding of data ethics and its importance across TELUS, providing education and influencing the data user community and network of Data Stewards on responsible innovation
                                • -
                                • Work with TELUS engineers, researchers, designers and business stakeholders to embed ethical decision-making and risk mitigation and monitoring processes into emerging technology, ensuring that design and production is fit for purpose and beneficial
                                • -
                                • Maintain expert knowledge of data ethics toolkits, best practices and contribute to industry working groups on standards for data ethics and responsible innovation.
                                • -
                                • Define and oversee stakeholder engagement methods to incorporate participatory human-centered design and the consultation of diverse voices across the innovation lifecycle to enhance public understanding and improve the social impacts of technology
                                • -
                                • Learn continuously, innovate every day and seek opportunities to develop and demonstrate thought leadership with external stakeholders
                                • +
                                • Engages with stakeholders and data scientists to understand their analytic/research/business needs, and work collaboratively with them to develop and validate concrete business requirements for data pipeline design
                                • +
                                • Documents business requirements as required
                                • +
                                • Carries out analysis of source system databases to discover the structure, flows, functions, and interdependencies of data within the system using custom written SQL scripts or an enterprise tool (eg. Data Virtuality Studio).
                                • +
                                • Documents findings and presents to the stakeholders and data scientists.
                                • +
                                • Based on requirements and analysis findings, conducts detailed interviews with subject matter experts and data scientists to inform the design of a logical pipeline model
                                • +
                                • Documents data pipeline model using mock-up or partial outputs as appropriate, and validates with stakeholders and data scientists
                                • +
                                • Constructs and automates the data pipeline from validated model
                                • +
                                • For data streams, utilizes HL7/FIHR or other appropriate messaging standard to create a messaging stream, listener and queuing solutions
                                • +
                                • Designs and implements robust error and exception handling procedures
                                • +
                                • Documents data pipeline architecture
                                • +
                                • Routinely monitors system logs/alerts for error and exception detection
                                • +
                                • Manually runs jobs/restarts pipelines when automation fails
                                • +
                                • Maintains an ongoing quality assurance to correct for data drift
                                • +
                                • Collaborates with IT Security team to monitor and protect pipelines against data leakage
                                • +
                                • Patches/updates data pipeline software, scripting tools, etc as needed
                                • +
                                • Routinely monitors data pipeline health and optimizes code when necessary
                                • +
                                • Is responsible for ongoing cultivation of new skills and knowledge in their area
                                • +
                                • Stays abreast of industry trends and best practices, via webinars, blogs, conferences, etc.
                                • +
                                • Curates and shares this knowledge with the rest of the Data Integration and Governance team to ensure the team remains at the cutting edge of digital health
                                -

                                -

                                +

                                QUALIFICATIONS

                                +
                                  +
                                • Completion of a relevant Information Technology Bachelor’s Degree program in related field, or recognized equivalent combination of work experience and education required
                                • +
                                • Extensive knowledge in the design and development of data pipelines required;
                                • +
                                • Mastery of SQL as well as at least one of either R or Python required;
                                • +
                                • Working knowledge of different database systems (MS SQL Server, Oracle, Netezza etc) preferred;
                                • +
                                • Experience designing and running testing scenarios required;
                                • +
                                • Strong interpersonal skills required;
                                • +
                                • Familiarity with cloud architecture (AWS, Azure, GCP, etc.) preferred;
                                • +
                                • Working knowledge of Kafka, Storm, Spark and similar distributed computational tools preferred;
                                • +
                                • Knowledge on Linux commands and Shell scripts required;
                                • +
                                • Good knowledge of data warehouse concepts and experience with BI/DW concepts e.g., facts, dimension, star/snowflake schema structures, 3NF modeling, etc., required;
                                • +
                                • Strong working knowledge of Microsoft Office products, e.g., Excel, PowerPoint, Word, Visio required;
                                • +
                                • Strong analytical and technical design skills required;
                                • +
                                • Working knowledge of Git preferred;
                                • +
                                • Experience working in a healthcare business environment preferred;
                                • +
                                • Good judgment and understanding of what issues to escalate, resolve on your own, making suggestions for possible resolution required;
                                • +
                                • Ability to learn new technology expediently required;
                                • +
                                • Ability to lead or participate in business meetings to capture requirements, provide status updates and document the requirements required;
                                • +
                                • Ability to maintain responsibility for all aspects of pipeline development, automation and improvements/operations for a project required;
                                • +
                                • Ability to work effectively in a team environment and across all organizational levels, where flexibility, collaboration and adaptability are important required;
                                • +
                                • Results oriented with the ability to manage multiple assignments simultaneously while ensuring commitments are met required.
                                • +
                                +

                                As a condition of employment, all external hires will be required to submit proof of COVID-19 vaccination or documentation unless a valid accommodation under the Ontario Human Rights Code exists. Please note, if you are extended an offer of employment, you will be required to provide proof of vaccination in Ontario QR Code format. All internal candidates must be in compliance with Unity Health Toronto’s COVID-19 Vaccination Policy.

                                ",,https://unityhealth.to/careers-at-unity-health-toronto/?JobNumber=912248,michaelia.banning@unityhealth.to,https://unityhealth.to/,,,2023-02-03T00:44:00.000Z,True,0,33,145,https://talenthub.vectorinstitute.ai/jobs/183877268-data-engineer-at-unity-health-toronto,,expired,2023-01-05T18:37:00.000Z,website-existing-job-slot,Scaling (20-499),Application Click Through,Health,Associate,Bachelors Degree,New Posting, +b5cc0a09-f2e2-402a-8d6a-ff59aa607cc0,189569804,TD Bank Group,Modelling / Forecasting Senior Analyst (Quants),on_site,"Toronto, ON",2023-01-23T17:24:02.344Z,"
                                +

                                Company Overview

                                +
                                +

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                +

                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                +

                                +

                                Department Overview

                                +
                                +The Model Control and Governance (MCG) team manages the model control process for trading market risk and valuation models used in TD Securities and provides quantitative support to market risk functions in Market Risk. It is a 1B function that oversees market risk model risk governance to ensure compliance with TD Model Risk Management Framework and Model Risk Policy. MCG also plays a critical role in monitoring of Non-Retail AIRB parameter models in Canada and US, covering back-testing, regulatory reports and OSFI ongoing compliance review.
                                +

                                +

                                Job Description

                                +
                                +The Senior Analyst in MCG will support model control process for trading market risk and valuation models used in TDS. Key accountabilities include:

                                +
                                  +
                                • Act as Subject Matters Expert in quantitative model testing and reviews for TDS valuation pricing models, market risk capital models and counterparty credit risk models, and provide analytical support to business partners
                                • +
                                • Responsible for semi-annual model usage report and quarterly analytic model limitation monitoring process
                                • +
                                • Conduct model implementation testing and control process across PnL, Risk, VaR and CCR for various TD’s global trading businesses, including Interest Rate, Equity, FX, Credit and Commodity
                                • +
                                • Perform system release review and follow version control process for trading and risk systems
                                • +
                                • Provide quantitative support to business partners on key TDS projects and initiatives
                                • +
                                • This position involves working effectively with different internal partners to ensure the appropriateness and accuracy of models used by the bank
                                • +
                                -
                                -

                                Qualifications

                                -
                                -

                                -

                                What you bring

                                -

                                +

                                +

                                Requirements

                                +
                                  +
                                • Excellent quantitative finance knowledge on derivative products, as well as the valuation and risk management methodologies
                                • +
                                • Solid understanding of pricing theory, stochastic calculus and numerical techniques used in derivative pricing (PDE/trees, Monte Carlo simulation, optimization, etc.)
                                • +
                                • Excellent written and verbal communication skills
                                • +
                                • Strong project management skills, ability to successfully work with multiple stakeholders to achieve the project’s objectives
                                • +
                                • Good computational and programming knowledge
                                • +
                                • Graduate degree in a quantitative discipline such as Mathematical/Computational Finance, Mathematics, Physics, Computer Science, or Engineering
                                • +
                                • Previous working experience in Model Development, Model Validation or related quantitative role
                                • +
                                +

                                +

                                Hours

                                +
                                37.5
                                +

                                +

                                Inclusiveness

                                +

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                +

                                +
                                ",,https://jobs.td.com/en-CA/jobs/17498220/modelling-forecasting-senior-analyst-quants-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-02T17:29:05.455Z,False,0,2,12,https://talenthub.vectorinstitute.ai/jobs/189569804-modelling-forecasting-senior-analyst-quants-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17498220/modelling-forecasting-senior-analyst-quants-toronto-ca/,expired,2023-01-23T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +d77175be-bbdc-4938-938c-06bf7169cd97,189567849,Google,"Technical Sales Specialist, Infrastructure Modernization, Google Cloud",on_site,"Toronto, ON, Canada",2023-01-23T17:20:03.022Z,"
                                +
                                +2022-12-15T22:30:57.429Z
                                +
                                  +
                                • Share
                                • +
                                  Save +
                                • +

                                Technical Sales Specialist, Infrastructure Modernization, Google Cloud

                                  +
                                • Google
                                • +
                                • In-office:
                                  + Toronto, ON, Canada +
                                • +
                                +
                                +

                                Qualifications

                                +

                                Minimum qualifications:

                                  -
                                • University degree or equivalent experience in applied ethics, philosophy, ethical machine learning, human-computer interaction, social and human sciences, or relevant fields
                                • -
                                • Valued for your knowledge and expertise in data ethics and ethical risk assessments of emerging technology
                                • -
                                • Experienced in establishing ethical decision-making and monitoring processes
                                • -
                                • Demonstrated knowledge and experience in conducting analysis around societal expectations, including identifying stakeholder values and defining techniques for engagement and input
                                • -
                                • Highly adaptable and comfortable working in a nascent field in a demanding and fast-paced environment
                                • -
                                • Able to identify and proactively consider opportunities outside of conventional thinking, providing multiple solutions to resolve problems and address gaps
                                • -
                                • Effective in written communication and verbally communicating progress on initiatives in leadership forums
                                • -
                                • Trusted as a collaborative partner with excellent interpersonal skills who will act with integrity and exemplify ethical practices to fulfill TELUS’ commitments to its customers
                                • -
                                • Post-secondary degree is a requirement
                                • +
                                • Bachelor’s degree or equivalent practical experience.
                                • +
                                • 6 years of experience in virtualization or cloud native architectures in a customer-facing or support role.
                                • +
                                • Experience in performing technical presentations or public speaking.
                                • +
                                • Experience with workload migrations, analyzing factors such as scalability, disaster recovery, and high availability.
                                -


                                Great-to-haves

                                -

                                +

                                Preferred qualifications:

                                  -
                                • Bilingualism in English & French, verbal and/or written
                                • -
                                • Experience working in a large, matrixed organization
                                • -
                                • Experienced in implementing multidisciplinary data ethics practices and collaborating in a cross-functional environment working with technology, policy, engineering, product and research teams
                                • +
                                • Master\'s degree in Computer Science or a related field.
                                  +
                                • +
                                • Experience with legacy and modern application development, cloud service delivery, and deployment.
                                  +
                                • +
                                • Experience with application development technologies, architecting, and developing software or infrastructure for scalable and secure distributed systems.
                                  +
                                • +
                                • Experience with Relational Databases, NoSQL Databases, Big Data technologies, and containers.
                                  +
                                • +
                                • Understanding of IaaS, PaaS, FaaS (XaaS).
                                  +
                                -

                                -

                                +
                                +
                                +

                                About the job

                                +

                                The Google Cloud Platform team helps customers transform and build what\'s next for their business — all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

                                +

                                As a Technical Specialist, you will work with the Sales team to introduce Google Cloud to our customers. You will help prospective, existing customers, and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business challenges, and problem-solve any potential technical roadblocks.

                                +

                                Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

                                +
                                +
                                +
                                +

                                Responsibilities

                                  +
                                • Work to identify and qualify business opportunities, identify key customer technical objections, and develop a strategy to resolve technical blockers.
                                • +
                                • Manage technical relationships with Google’s customers, including managing product and solution briefings, proof-of-concept work, and the coordination of additional technical resources.
                                • +
                                • Work with customers to demonstrate and prototype Google Cloud product integrations, guide customers through assessments of their existing legacy application environments, provide recommendations on a prioritization roadmap for application modernization, and identify applications for migration to hybrid-cloud computing models.
                                • +
                                • Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution using best practices on Google Cloud.
                                • +
                                • Travel to customer sites, conferences, and other related events.
                                • +
                                +
                                +

                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                                At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                                +
                                +
                                +
                                ",,"https://careers.google.com/jobs/results/78444987743642310-technical-sales-specialist-infrastructure-modernization-google-cloud/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-02-02T17:25:02.034Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/189567849-technical-sales-specialist-infrastructure-modernization-google-cloud-at-google,,expired,2023-01-23T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, +330bdd1c-afa2-4b62-b35b-d627f7186e3c,191127598,TD Bank Group,Senior Business Insights Analyst,on_site,"Toronto, ON",2023-01-30T17:24:05.939Z,"
                                +

                                Company Overview

                                +
                                +

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                +

                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                -
                                ",,https://careers.telus.com/job/Toronto-Data-Ethicist-REMOTE-ON/564983417/,feed-importer@jobboard.io,,,,2023-02-07T23:06:00.000Z,False,0,12,86,https://talenthub.vectorinstitute.ai/jobs/186278243-data-ethicist-remote-at-telus,,expired,2023-01-12T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Associate,Masters Degree,New Posting, -9fe53bbd-12d7-492d-b6e1-09a5064f94a9,192665224,Scotiabank,"Manager, Adjudication Data Analytics",on_site,Canada : Ontario : Toronto,2023-02-04T17:22:02.925Z,"

                                -

                                -

                                -

                                -

                                Requisition ID: 169306

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                -

                                Purpose of Job:

                                -

                                -

                                The Adjudication Management function is responsible for working with the Retail and Small Business risk adjudication teams (Loan Adjudication Centres & Loan Underwriting Centres) across the Caribbean region. This function is responsible to peform Data Analytics for the adjudication process considering Operations and Credit Risk.

                                -

                                -

                                Job Responsibilities:

                                -

                                -

                                The Manager, Adjudication Data Analytics C & CA will work closely with the Director Adjudication to ensure that all adjudication teams are aligned in terms of the risk policies and Bank’s Risk Appetite. Key accountabilities include:

                                -

                                -

                                • Develop reports using Data Analytics techniques for the adjudication centres to monitor operational KPIs, loan performance and exception management reporting

                                -

                                • Apply critical thinking to validate improvements with the adjudication units using data and analytics

                                -

                                • Manage analytical inquiries related to executive decisions and conducts root cause analysis of key operational issues, providing guidance and advice towards optimal resolution and mitigation while ensuring a timely and high-quality response.

                                -

                                • Responsible for monitoring the activity of the adjudication teams to provide risk oversight, including providing monthly analysis on early warning indicators, process updates, impact on adjudication from new initiatives or risk policies.

                                -

                                • Participating in key risk initiatives and projects which focus on the key priorities of the Adjudication teams from the data analytics perspective.

                                -

                                • Conducting assessments of the operational activity across the adjudication workflow. It is required that the Manager will provide recommendations for efficiency gains and be responsible for implementing these recommendations leveraging data and analytics.

                                -

                                • Assisting in the preparation of training material and tools for adjudicaiton teams, including communication of changes and updates.

                                -

                                • Working closely with the heads of the adjudication teams and Quality Assurance to identify areas where processes and procedures may need to be developed to improve the overall consistency of credit risk decisions.

                                -

                                • Adherence to lean practices and methodology

                                -

                                • Assist the Director with planning, forecasting, ad hoc requests, research, and strategic projects as they arise

                                -

                                • Responsible for quarterly Cost Allocation Transfer Pricing Expenses for the Adjudication department

                                -

                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook, and the Guidelines for Business Conduct

                                -

                                • Champions a high-performance environment and implements a people strategy that attracts, retains, develops, and motivates their team by fostering an inclusive work environment, communicating vison/values/business strategy, and managing succession and development planning for the team

                                -

                                Job Requirements:

                                -

                                -

                                • Minimum bachelor's degree in business, economics, or finance or at least 3 year's working experience in retail banking or risk management
                                • Strong skills with data visualization tools such as Power BI, Tableau, SAS
                                • Experience on data analytics with a solid grasp of reporting practices and performance measurement tools
                                • Strong communication skills
                                • Strategic influencing abilities
                                • Assertive, and driven to be a change agent
                                • Fluent written and spoken English is mandatory
                                • Experience in Retail & Small Business banking, finance, credit risk are assets
                                • Spanish is an asset

                                -

                                -

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Adjudication-Data-Analytics-ON-M5H1B6/566371417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-09T17:27:03.445Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/192665224-manager-adjudication-data-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Adjudication-Data-Analytics-ON-M5H1B6/566371417/,expired,2023-02-04T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -d61d8e1d-f197-4010-a014-c192e1da27bc,193457623,TD Bank Group,"Senior Analyst, Campaign Analyst",on_site,"Toronto, ON",2023-02-06T17:24:02.760Z,"
                                +

                                +

                                Department Overview

                                +

                                TD’s Corporate Defense Group (CDG) is seeking a Senior Business Insights Analyst to join their Data, Analytics and Reporting (DAR) team. This senior analyst will be instrumental in delivering analytic products to the internal clients we serve: Fraud Risk Management, Global Security & Investigations (GSI), Global Privacy and Enterprise Insider Risk Program (EIRP). The teams supported represent unique businesses that span both 1st and 2nd line responsibilities within the 3 Lines of Defense model of risk management and have immense synergies and an overall united goal of protecting the bank. The ideal candidate will be able to bridge the gap between fraud risk management and analytical expertise.

                                +

                                +

                                Job Description

                                +
                                +

                                This individual will primarily support the IM program, along with broader CDG DAR initiatives in an auxiliary capacity. Mainly responsible for identifying and escalating enterprise-wide findings to stakeholders and various risk committees by using a variety of analytics tools to detect and prevent internal and external fraudulent activity. And coordinate with business partners (Internal Audit, Compliance, Operational Risk Management, FRM, etc) to monitor fraud risk through data analysis and visual reporting. Ensure compliance with established fraud risk policies and procedures required by regulators, supporting comprehensive fraud risk management frameworks in the US and Canada.

                                +

                                Key Responsibilities:

                                +
                                  +
                                • Desire and tenacity to learn new skills and adapt to new challenges that have a steep learning curve, and are a self-starter that pro-actively tackles problems and deliver end to end data products independently
                                • +
                                • Proactively assists in the oversight of a Fraud Risk Management Issues Management Program to provide “value-added” insights in the form of analysis, interpretation of emerging and/or changing fraud risk and related control opportunities and enhancements
                                • +
                                • Conduct analysis by applying statistical methods, and effectively communicate results through illustrative visualizations to our stakeholders and senior management
                                • +
                                • Validate the quality and integrity of the data being analyzed and reported
                                • +
                                • Collaborates with business stakeholders, control and governance partners to support Data management efforts and maintain detailed documentation
                                • +
                                +
                                +

                                +

                                Requirements

                                +
                                  +
                                • Undergraduate or graduate degree in quantitative discipline such as management analytics, computer engineering, computer science, mathematics, physics, economics
                                • +
                                • 3-5 years relevant working experience with preferred understanding of fraud, risk assessment, and/or other risk management processes to identify and monitor fraud risks within the organization and providing oversight and appropriate resolution to the business.
                                • +
                                • Experience and knowledge with industry data tools, including Tableau, Python, SQL, and/or Cloud experience.
                                • +
                                • Excel and PowerPoint – Strong proficiency with Excel and the ability to draft storyboards and execute narratives in PPT common in advisory or consultancy roles is also valued
                                • +
                                +

                                +

                                Additional Information

                                +
                                Successful candidates will be asked to complete a small case study over the period of a few days.
                                Feel free to attach professional or personal work that showcase your abilities.
                                +

                                +

                                Hours

                                +
                                37.5
                                +

                                +

                                Inclusiveness

                                +

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                +

                                +
                                ",,https://jobs.td.com/en-CA/jobs/17667219/senior-business-insights-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-02T17:29:05.455Z,False,0,2,3,https://talenthub.vectorinstitute.ai/jobs/191127598-senior-business-insights-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17667219/senior-business-insights-analyst-toronto-ca/,expired,2023-01-30T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +51cc0365-dcc1-46a8-ac01-af84bd3dcb69,189569808,TD Bank Group,"Senior Analyst, Campaign Analyst",on_site,"Toronto, ON",2023-01-23T17:24:02.622Z,"

                                Company Overview

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                @@ -338859,186 +346236,26 @@ d61d8e1d-f197-4010-a014-c192e1da27bc,193457623,TD Bank Group,"Senior Analyst, Ca

                                Inclusiveness

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                -
                                ",,https://jobs.td.com/en-CA/jobs/17645262/senior-analyst-campaign-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-09T17:29:05.822Z,False,0,1,2,https://talenthub.vectorinstitute.ai/jobs/193457623-senior-analyst-campaign-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17645262/senior-analyst-campaign-analyst-toronto-ca/,expired,2023-02-06T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -55130e11-fb2f-4658-bc69-a99859bfb988,194548082,CIBC,"Director, Treasury Analytics",on_site,"Ontario, Canada",2023-02-09T17:06:02.350Z,"
                                -

                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                -

                                -

                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                -

                                -

                                To learn more about CIBC, please visit CIBC.com

                                -

                                -

                                Job Description

                                -

                                -

                                What You’ll be Doing

                                -

                                -

                                This is a unique opportunity that involves leadership and development of the Treasury Analytics functions and expansion of mandates. As the Director, Treasury Analytics will drive insights, identify inherent risk drivers of consumer products, and relate relate modeling risk specifications back to the business. You will dive into the underlying mechanics of the specific problems and translate complex concepts into program enhancements and specifications to Technology for development. Communicate complex problems and solutions to senior management and LOB.

                                -

                                -

                                Additionally, you will support the Senior Director, Treasury Analytics to conduct analysis to maintain analytics infrastructure developed in Treasury Analytics used to conduct analysis of how consumer behavior affects retail product cash-flows and the use of embedded options. You will assist in developing business requirements and conduct QA testing of Treasury systems and assist in applying advanced statistical models and financial engineering techniques to quantify and ensure minimal consumer behaviour risk. You will also assist in implementing and applying advanced analytics for optimization, reporting, P/L decomp and back-testing, and risk factor simulation to interpret and explain any resulting output.

                                -

                                -

                                At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                -

                                -

                                How You’ll Succeed

                                -
                                  -
                                • Systems and Support (Infrastructure) - Lead development and implementation of various strategic business initiatives. This includes liaise with various groups within CIBC to explain methodologies, and procedures developed within Treasury Analytics to assess analytic/data requirements for future business activities, and resolve any issues which arise. Lead the maintenance of pricing, risk and mathematical analytics library supporting integration across all Treasury systems that are used for Bank-wide benchmarking to validate pricing or risk. This will ensure consistency of risk measures across different risk platforms/measures and mitigate model risk.

                                • -
                                • Support the management and enhancement of Cash-Flow Modeling Books - Liaise with Treasury CFO group to interpret and explain cash-flow modeling P/L variability. Enhance PnL decomposition and signing off on daily cash-flow modeling P/L.

                                • -
                                • Financial/Derivative Analytics - Ensure pricing and risk analytics capture all hedgeable risks as is practical. This will include work to prototype pricing and hedge of fixed income derivatives. Maintain and develop analytics/methodologies for transfer pricing new retail products, assess new and existing retail product profitability, and cash-flow modeling book.

                                • -
                                • Consumer Behavior Analytics - Apply customer behaviour calibration techniques for Treasury Analytics parameter review. Incorporate consumer behavior models into the funds transfer pricing and hedging processes. Collaborate in the development, continuous improvement and ongoing expansion of an analytics library with appropriate tools, models and techniques for modeling of customer behaviour and interest rate risks.

                                • -
                                • Quantitative Analysis - Lead the implementation of sophisticated mathematical modeling, processes or algorithms to conduct analysis. Ensure operational effectiveness to deliver analytics capabilities, ensuring that outputs are correct and reproducible, and proper documentation to explain methods.

                                • -
                                -

                                -

                                Who You Are

                                -
                                  -
                                • You’re goal oriented. You’re motivated by accomplishing your goals and delivering your best to make a difference.

                                • -
                                • You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way. You have the ability to express modeling insights with an aptitude for explaining PnL and risk drivers. Creative problem solver and strong analytical skills.

                                • -
                                • You\'re motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.

                                • -
                                • You can demonstrate experience. In ALM, Product Analytics, Risk Management. Experience in quantitative analytics within banking and/or other financial institutions in areas of valuation, hedging and risk measurement is an asset. Strong system and quantitative programming skills using C/C++/Python/R/SQL or high level languages. Experience working with banking retail products such as commitments, mortgages or GICs is an asset.

                                • -
                                • You can demonstrate knowledge. In financial economics, financial mathematics such as fixed income theory, statistics, treasury processes, risk management and balance sheet modeling techniques. You have knowledge of advanced GLM (including Cox regression), panel time series, and model selection.

                                • -
                                • You have a degree/diploma. Masters and/or Doctoral degree in mathematics, computer science, quantitative finance, engineering, statistics or related technical field with work experience in applied mathematical, statistical, and/or stochastic modeling.

                                • -
                                • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                                • -
                                -

                                -

                                What CIBC Offers

                                -

                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                -
                                  -
                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                                • -
                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                • -
                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                • -
                                -

                                -

                                -

                                What you need to know

                                -
                                  -
                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                • -
                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                • -
                                -

                                -

                                -

                                -

                                -

                                -

                                Job Location

                                Toronto-161 Bay St 11th Floor

                                Employment Type

                                Regular

                                -

                                Weekly Hours

                                37.5

                                Skills

                                -

                                Asset and Liability Management (ALM), Communication, Critical Thinking, Fixed Income Valuation, Hedging, Product Analytics, Python, Quantitative Analytics, Risk Management, Structured Query Language (SQL), Treasury Management
                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-161-Bay-St-11th-Floor/Director--Treasury-Analytics_2301981?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-03-11T20:44:30.867Z,False,0,2,8,https://talenthub.vectorinstitute.ai/jobs/194548082-director-treasury-analytics-at-cibc,,expired,2023-02-09T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, -615d60a2-735f-4baf-aaf6-62dedd158d2d,194550482,BMO Financial Group,"Business Reporting Analyst, Retail Automotive Finance",on_site,"Ontario, Canada",2023-02-09T17:12:03.155Z,"
                                -

                                Address:

                                33 Dundas Street West

                                -

                                -

                                Job Family Group:

                                Data Analytics & Reporting

                                -

                                -

                                -

                                -

                                The Business Reporting Analyst is accountable to develop and deliver reporting, analytics, and financial modeling pertaining to the Automotive Finance Line of Business (LOB). This includes preparing and delivery of key management reports, and consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes.

                                -

                                -

                                The successful candidate will combine both business and technology acumen to generate and maintain reporting in various forms (models, cubes, ad-hoc reports). Such reporting is used by leaders for performance evaluation, to facilitate coaching, and for business decision-making purposes. The incumbent will be self-motivated and take ownership of solving problems and proactively raising issues to management that may require further investigation.

                                -
                                  -
                                • Breaks down strategic problems and analyzes data and information to provide subject-matter insights and recommendations.

                                • -
                                • Designs, develops, and implements innovative analytical solutions.

                                • -
                                • Designs and produces regular and ad-hoc reports, and dashboards.

                                • -
                                • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences (i.e. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights).

                                • -
                                • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.

                                • -
                                • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.

                                • -
                                • Builds effective relationships with internal/external stakeholders.

                                • -
                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.

                                • -
                                • Documents and maintain operational procedures and processes relating to analytical and reporting processes.

                                • -
                                • Focus may be on a business/group.

                                • -
                                • Thinks creatively and proposes new solutions.

                                • -
                                • Exercises judgment to identify, diagnose, and solve problems within given rules.

                                • -
                                • Works mostly independently.

                                • -
                                • Broader work or accountabilities may be assigned as needed.

                                • -
                                -

                                -

                                Qualifications:

                                -
                                  -
                                • Typically between 3 – 5 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

                                • -
                                • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Power BI, SQL, SAS, VBA, R, Python, MATLAB, SPSS - In-depth.

                                • -
                                • Experience in working with and linking big data sets across multiple sources.

                                • -
                                • Proficient in Microsoft Office.

                                • -
                                • Strong analytical and problem-solving skills.

                                • -
                                • Strong business communication and stakeholder management skills.

                                • -
                                • Some financial background dealing with Balance Sheet and/or P&L is an asset.

                                • -
                                -

                                -

                                -

                                We’re here to help

                                -

                                -

                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                -

                                -

                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                -

                                -

                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                -

                                -

                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                -

                                -

                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                -
                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Business-Reporting-Analyst--Retail-Automotive-Finance_R230002288-1?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-03-11T20:49:01.630Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/194550482-business-reporting-analyst-retail-automotive-finance-at-bmo-financial-group,,expired,2023-02-09T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -c7a3298c-5053-4f76-838a-971dc19b5a5b,194555551,Magna International,Compliance Analyst,on_site,"Aurora, ONTARIO, CA, L4G 0G9",2023-02-09T17:39:02.705Z,"
                                -
                                -

                                Role Summary

                                -
                                -

                                -

                                Think big. Empowering each to act with confidence.

                                -

                                Take responsibility. Taking accountability for ourselves and others in our actions and commitments.

                                -

                                Never settle. Constantly innovating, improving and asking the right questions

                                -

                                Be collaborative. We do our best when we do it together, with respect and humility.

                                -

                                -

                                Consistent with our core values, the Compliance Analyst will posses a positive, energetic and professional disposition, be hightly adaptable and results-oriented with a meticulous attention to detail. The position is located in Aurora, Ontario.

                                -
                                -
                                -
                                -

                                Key Responsibilities

                                -
                                -

                                -

                                Data Management and Analytics

                                -

                                -
                                • Build and develop complex reports using database management systems
                                • Deliver recommendations to support business decision-making by the identification and interpretation of risk, trends and opportunities for continuous improvement.
                                • Identify opportunities for process improvement (e.g. improvements to data management tools)
                                • Collaborate closely with stakeholders to develop new and unique data-driven solutions using Big Data platforms, creative analytical methods, and data visualization techniques (Data Modeling etc.)
                                • Connect and build pipelines between various data sources
                                • Lead for identifying and interpreting trends as it relates to compliance metric results and benchmarking
                                • Leading Power BI/Power Automate software development, deployment, and maintenance
                                • Documenting contents in a data warehouse and meta-data storage
                                • Creating technical documentation and user guides for BI tools and other processes
                                • Develop, maintain, and improve KPI dashboards in Power BI to ensure data integrity and accuracy
                                • -
                                -

                                -

                                Learning Management System (LMS) & Workday

                                -

                                -
                                • LMS Subject Matter Expert - responsible for the implementation and deployment of all e-learning courses, creating course assignment profiles, and reporting
                                • Workday - managing global compliance targets in Workday and ensuring that logic and formulas are accurate for proper course assignments
                                • Collaborate and support Subject Matter Experts with respect to global training records including assignments, tracking, reporting and monitoring
                                • -
                                -

                                -

                                Projects & Key Initiatives

                                -

                                -
                                • Provide support for global projects
                                • Other duties as assigned
                                • -
                                -
                                -
                                -
                                -

                                Key Qualifications/Requirements

                                -
                                -

                                -

                                Knowledge and Education

                                +
                                ",,https://jobs.td.com/en-CA/jobs/17645262/senior-analyst-campaign-analyst-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-02T17:29:05.455Z,False,0,2,5,https://talenthub.vectorinstitute.ai/jobs/189569808-senior-analyst-campaign-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17645262/senior-analyst-campaign-analyst-toronto-ca/,expired,2023-01-23T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +d7e521a7-b924-4c3b-8f3b-f67703ce825d,189568980,Scotiabank,Manager Credit Risk Provisions and Analytics - Contract,on_site,Canada : Ontario : Toronto,2023-01-23T17:22:03.213Z,"

                                -
                                • University Degree or College Diploma required (Data Analytics, Business Analytics, Managing Data & Information or other relevant fields)
                                • -

                                -

                                Work Experience

                                -
                                • 2+ years of practical experience in a corporate environment, preferably a multinational company
                                • Proven record in identifying process issues and scoping possible solutions
                                • -
                                +

                                Requisition ID: 169609

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                Skills and Competencies

                                +

                                Purpose:

                                +


                                Contributes to the overall success of the Credit Risk Provisions and Analytics / GRM globally, ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives.

                                +

                                The Manager takes initiatives to evaluate and improve the Current Expected Credit Loss (CECL) methodology for the Bank’s US subsidiaries, contributes to CECL implementation and provide insights and analytics to senior executives, business lines, and business units.

                                -
                                • Technologically proficient: Office 365 (Word, Excel, PowerPoint, SharePoint, MS Project, TEAMS), and ability to learn new software
                                • Experience managing complex databases and dashboards
                                • Basic understanding of Power Automate
                                • Self-motivated with a desire and eagerness to learn
                                • Excellent analytical and problem-solving skills
                                • Proactive approach to improving processes
                                • Able to work independently without supervision
                                • Meticulous attention to detail
                                • Strong organizational skills and ability to prioritize multiple priorities
                                • Effective written and oral communication
                                • Experience with Power BI would be an asset
                                • +

                                  Accountabilities:

                                  +
                                  • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                  • Works closely with key stakeholders in developing the CECL end-to-end process, which includes project planning, data reconciliation, model implementation, control process, governance and reporting.
                                  • Contributes to quarterly CECL measurement, analytics, and reporting.
                                  • Provides support in preparing CECL and IFRS 9 reports to senior management and to the relevant business units; as well as providing analytics on the underlying data.
                                  • Ensures CECL documentation is up-to-date and in compliance with Model Validation and Audit guidelines.
                                  • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                  • Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
                                  • Champions a high-performance environment and contributes to an inclusive work environment.
                                  -

                                  -

                                  Work Environment

                                  -

                                  -
                                  • This position takes place in a standard work environment
                                  • Hybrid working environment
                                  • No regular travel required
                                  • +


                                    Education / Experience / Other Information:

                                    +
                                    • Strong verbal and written communication skills and proven problem-solving skills.
                                    • Good organizational and analytical skills.
                                    • Experience in Python, SQL and statistical modelling.
                                    • Comfort and experience working in a project context and juggling multiple competing priorities
                                    • Critical thinking skills and ability to work under tight timelines.
                                    • Bachelor / Master’s in Accounting, Business, Finance, Economics, Mathematics, Engineering or Statistics.
                                    • Professional qualification such as CPA / CMA/ CGA / CFA is an added advantage.
                                    -
                                -
                                -
                                -

                                Additional Information

                                -

                                -

                                Accommodations for disabilities in relation to the job selection process are available upon request.

                                -

                                -

                                Candidates will be required to complete a Criminal Records Check and, if deemed necessary, a Credit Check as part of the candidate selection process.

                                -
                                -
                                -
                                ",,https://jobs.magna.com/job/Aurora-Compliance-Analyst-ONTA-L4G-0G9/566560117/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-03-11T21:11:43.890Z,False,0,6,23,https://talenthub.vectorinstitute.ai/jobs/194555551-compliance-analyst-at-magna-international,https://jobs.magna.com/job/Aurora-Compliance-Analyst-ONTA-L4G-0G9/566560117/,expired,2023-02-09T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Manufacturing ,Associate,Bachelors Degree,New Posting, -da505978-e185-4c27-864f-23283cdec141,203166955,CIBC,"Sr. Consultant, Application Development",on_site,"Ontario, Canada",2023-03-09T17:06:04.050Z,"
                                +

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Manager-Credit-Risk-Provisions-and-Analytics-Contract-ON-M5H1H1/566058017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-02T17:27:05.731Z,False,0,2,3,https://talenthub.vectorinstitute.ai/jobs/189568980-manager-credit-risk-provisions-and-analytics-contract-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager-Credit-Risk-Provisions-and-Analytics-Contract-ON-M5H1H1/566058017/,expired,2023-01-23T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +e0797f95-c066-48f4-bb0a-36b2b7e11342,190516924,CIBC,"Senior Data Scientist, Optimization & Decision Science- 12 Month Secondment/ Contract",on_site,"Ontario, Canada",2023-01-27T17:06:03.396Z,"

                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                @@ -339047,53 +346264,43 @@ da505978-e185-4c27-864f-23283cdec141,203166955,CIBC,"Sr. Consultant, Application

                                Job Description

                                -

                                What you\'ll be doing

                                -

                                You’ll be joining CIBC’s CIBC Asset Management (CAM) Technology Group within Wealth Management Technology. You’ll be at the heart of CIBC’s digital transformation, successfully delivering complex, enterprise-scale Azure projects involving multiple back-end systems. As an Senior Application Development Consultant, you will design, build, implement and maintain easy, flexible, agile solutions that enhance the client experience across multiple technologies including cloud. You’ll be part of the planning and strategy for the technical design, development and integration of these applications. The successful candidate for this role will be required to provide support after hours/weekends.

                                +

                                What You’ll Be Doing

                                +

                                The Analytics & Decision Science team is a central hub of analytics expertise within CIBC, and is leading the way in applying the best practices in predictive science, machine learning, leveraging massive datasets and the latest in big data technology platforms. As a Senior Data Scientist you will apply your knowledge and experience of data modelling to solve challenging business problems and bringing innovative solutions. You’ll interact with groups across the organization from products, segments, marketing to channels, risk and capital markets. You’ll work with real world structured and unstructured datasets to produce end-to-end solutions, taking models from experiment to deployment. We collaborate with the most exciting new companies in the space of AI and machine learning, and engage in collaborations with leading academic researchers to promote the exchange of ideas and enrich our talent.

                                -

                                How you\'ll succeed

                                +

                                At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview

                                +

                                +

                                How You’ll Succeed

                                • -Design and development - Perform and coordinate complicated application programming activities. Lead the design and development of cost-effective and innovative solutions
                                • +Data Science Expertise: Provide advanced analytics solutions to solve business problem leveraging traditional statistical, machine learning and optimization techniques. Ability to conduct self-directed research, typically using non-traditional resources to solve business problems.
                                • -Strategic planning - Develop multi-year technology roadmaps that align with the bank’s vision, strategy, and business goals. Lead multiple complicated projects involving backend systems, new technology, and the enhancement of existing applications.
                                • +Business Consulting: Conduct business problem assessment independently. Gather relevant information related to business processes, functions and operations to evaluate data credibility and quality. Utilize creative thinking to modify or select the most suitable procedure/approach to solve a business problem. Perform in-depth analysis for the purpose of identifying revenue generating and cost saving opportunities, developing proposals and make recommendations for model usage to the downstream partners.
                                • -Leadership skills - Act as the development team lead and run code-review sessions with the wider team to ensure the project is on track to meet goals. Support and mentor intermediate and senior developers by sharing knowledge, collaborating and problem solving.
                                • +Market Relevancy: Participate in an analytics community whose goal is to foster and share analytic approaches across the enterprise. Liaise with internal and external sources, colleagues, and others to obtain, provide, verify and discuss information and best practices. Passionate innovators, creators, collaborators, and leaders who are up for the challenge of building the bank of the future and delivering solutions that meet our clients’ changing needs

                                -

                                Who you are

                                +

                                Who You Are

                                • -You embrace and advocate change. You\'ll continuously evolve your thinking and the way you work in order to deliver your best.
                                • -
                                • -Your influence makes a difference. You know that relationships and networks are essential to success. You inspire outcomes by sharing your expertise.
                                • +You can demonstrate experience in working with large datasets including both structured and unstructured data and related tools (e.g., SQL, Hive, Spark). Must have experience coding in high level programming languages such as Python, SAS or R. Must have experience coding with data modelling packages such as SAS Enterprise Miner, NumPy, Pandas, SciPy, Scikit-Learn, Keras or PyTorch.
                                • -You’re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
                                • +You’re a certified professional. You have current accreditation and good standing in Master or PhD in Computer Science, Engineering, Mathematics, Statistics, Operational Research, Physics, Economics or related quantitative field.
                                • -You\'re motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.
                                • +You\'re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends.
                                • -You can demonstrate experience in: Proven experience in architecting, design and deploying Azure data solution with Azure Data Factory, Azure Synapse, Data Lake, Azure SQL or other Azure data service. Experience designing and developing data flows on Azure Data Factory or Azure Synapse leveraging a data lake ELT approach.
                                • -
                                • Proven experience on design and deploy data platforms within the Cloud adoption framework for data landing zones.
                                • -
                                • Perform requirements analysis, design, and prototyping for data solutions.
                                • -
                                • Provide oversight and guidance to platform, data, BI and development team.
                                • -
                                • Development, review, and revision of best practices for technical implementation and development and communication to supporting delivery resources.
                                • -
                                • Familiarity with DevOps tools like Azure DevOps and Business Intelligence tools such as Power BI, Tableau .
                                • -
                                • Communicate efficiently and with deep technical knowledge regarding concepts and best practices of the end-to-end data platform and architecture.
                                • -
                                • 8+ years of relevant professional technology experience.5+ years of experience in a data transformation language like SQL.
                                • -
                                • 5+ years of working experience with SQL Server, data warehousing and data analytics projects and 3+ years developing, deploying, and testing data platforms in Azure or other cloud provider.
                                • -
                                • 2+ years of experience with version control and DevOps. 1+ years infrastructure as code development on Azure (ARM, Bicep, Blueprints).
                                • -
                                • Minimum of a Bachelor’s degree in Computer Science, Computer Engineering, Software Design, Software Engineering, or a related field, or equivalent alternative education, skills, and/or practical experience. -
                                • +You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it\'s the right thing to do.
                                • -Nice to have: MS Certified: Data Engineering Associate /MS Certified: Azure Solutions Architect Expert
                                • +You\'re driven by collective success. You know that collaboration can transform a good idea into a great one. You understand the power of an inclusive team that enjoys working together to bring a shared vision to life.
                                • -Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.
                                • +Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

                                -

                                What CIBC offers

                                +

                                What CIBC Offers

                                +

                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                  -
                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program
                                • -
                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients
                                • +
                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.
                                • +
                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                @@ -339107,139 +346314,698 @@ da505978-e185-4c27-864f-23283cdec141,203166955,CIBC,"Sr. Consultant, Application

                                -

                                Job Location

                                CIBC Square Banking Centre

                                Employment Type

                                Regular

                                +

                                Job Location

                                Toronto-81 Bay, 25th Floor

                                Employment Type

                                Temporary (Fixed Term)

                                Weekly Hours

                                37.5

                                Skills

                                -

                                Azure App Service, Azure Cloud Services, Azure Expressroute, Azure Kubernetes Service (AKS), Azure Policy, Functional Designs, Microsoft Azure, Microsoft Azure Databases Administration, Microsoft Azure Databricks, Microsoft Azure Data Lake Store, Microsoft Azure DevOps Artifacts, Microsoft Azure DevOps Boards, Microsoft Azure DevOps Repos, Microsoft Azure DevOps Test Plans, Microsoft Azure Functions, Microsoft Azure Load Balancer, Microsoft Azure Portal, Microsoft Azure Security, Microsoft Azure Storage, Microsoft Azure Synapse Analytics, Solutions Development
                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Sr-Consultant--Application-Development_2238606?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-03-13T17:11:03.064Z,False,0,1,1,https://talenthub.vectorinstitute.ai/jobs/203166955-sr-consultant-application-development-at-cibc,,expired,2023-03-09T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -1a015403-a580-4d1c-9dc4-19bb94ef9a86,196076538,BMO Financial Group,Intermediate ETL Developer,on_site,"Ontario, Canada",2023-02-13T17:12:02.158Z,"
                                -

                                Address:

                                2465 Argentia Rd

                                -

                                -

                                Job Family Group:

                                Data Analytics & Reporting

                                -

                                -

                                #BPTNTechTalk

                                -

                                -

                                -

                                Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                +

                                Advanced Analytics, Analytical Thinking, Big Data, Big Data Technologies, Business Problems, Business Processes, Data Science, Datasets, Decision Sciences, Innovation, Machine Learning, Operations Research, Python (Programming Language), Statistics
                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Senior-Data-Scientist--Optimization---Decision-Science_2243008?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-02-02T17:11:05.794Z,False,0,8,25,https://talenthub.vectorinstitute.ai/jobs/190516924-senior-data-scientist-optimization-decision-science-12-month-secondment-contract-at-cibc,,expired,2023-01-27T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +16981557-7f97-449f-b94f-0e9affe4a862,189570211,Magna International,Data Scientist,on_site,"AURORA, ONTARIO, CA, L4G 3M7",2023-01-23T17:39:06.873Z,"
                                +
                                +

                                Job Introduction

                                +

                                The Data Scientist will be a key member of the R&D team and will solve data-related challenges in manufacturing operations. In this role, you will collaborate with individuals and groups within and outside Magna, while maintaining responsibility for acting independently on technical matters pertaining to the designated subject area. You have a strong sense of curiosity, along with an open mindset. Challenging the status quo, you continuously strive to learn and reach for new and innovative ideas. We encourage all individuals with an inventive mind who enjoy working with others to apply, we’d love to hear from you.

                                +
                                +
                                +

                                Major Responsibilities

                                +
                                • Contribute to and engage in a working environment aimed at partnering with the product groups and divisions to leverage the process innovations to the targeted scale.
                                • Contribute relevant analytical findings to the technical discussion with the product groups to prepare the process for total cost reduction, as it pertains to Factory of the Future.
                                • Support the ideation process from a data perspective to identify gaps and opportunities in manufacturing processes, building blocks, and technologies to develop economical and scalable solutions.
                                • Derive and show optimization potentials for given applications based on data analysis, utilizing state of the art and cutting-edge mathematical methods (AI).
                                • Deploy machine learning methods to simplify / substitute repeating tasks.
                                • Develop proof of concepts (POC) based on AI methods for closed loop control in production (e.g. Vision-based decision making, reinforcement learning approaches for controls, etc.).
                                • Interpret results and communicate to technical and non-technical audiences, cross-functional teams, and executive leadership.
                                • Support, plan, and execute ML and AI initiatives. Manage and facilitate initial small-scale implementation. Support broad deployment and adoption within the organization.
                                • Develop, maintain, and document the source code for all developments.
                                • Leverage internal and external expertise as required.
                                • Regularly interface with senior management to provide project updates.
                                • Occasionally responsible to hire, lead, supervise, and evaluate indirect hires, such as summer students.
                                • +
                                +
                                +
                                +

                                Knowledge and Education

                                +
                                • Master’s Degree in Mathematics, Statistics, Computer Science, Physics, or a closely related education with 2+ years of experience in industry.
                                • PhD preferred.
                                • Excellent mathematical knowledge in the field of statistics.
                                • Deep knowledge of Python and data analysis relevant libraries.
                                • SW development knowledge with detailed understanding of SW deployment processes is desired.
                                • Knowledge of network technologies and protocols (e.g. MQTT).
                                • +
                                +
                                +
                                +

                                Work Experience

                                +
                                • Demonstrated experience with a wide variety of ML and AI techniques and algorithms.
                                • Demonstrated experience with Python, SQL, and other related tools and toolchains to be able to oversee, direct, and manage projects in the field.
                                • Experience with virtualization (e.g. PowerBI, Grafana) and deployment tools (e.g. Docker).
                                • Experience with manufacturing related data analytics is preferred.
                                • +
                                +
                                +
                                +

                                Skills and Competencies

                                +
                                • Very good knowledge of English language is required, knowledge of German language is advantageous.
                                • Open mindset and eager to learn.
                                • “Challenge the status-quo” mentality.
                                • Team player with an analytical personality and strong communication skills.
                                • Willingness to ask questions and build networks/relationships with other departments/groups.
                                • +
                                +
                                +
                                +

                                Work Environment

                                +
                                • While performing the duties of this job, the employee is regularly required to talk and hear, and use hands to finger, handle, and feel. The employee is required to reach with hands and arms and have adequate mobility to stand, walk, sit, stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to fifty (50) pounds. Specific vision abilities required by this job include close vision and ability to adjust focus.
                                • Responsible for working in compliance with the provisions of the Health and Safety Act, as well as any rules or standards otherwise specified by OSHA, MIOSHA, or any other government regulations. Expected to exercise caution in all work activities and report any unsafe conditions, injuries, or near misses to the appropriate supervisor.
                                • Travel up to 25% - domestic and international may be required.
                                • +
                                +
                                +
                                +

                                Awareness. Unity. Empowerment.

                                +
                                +

                                At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                                +

                                +

                                #LI-Hybrid

                                +
                                +
                                +
                                ",,https://jobs.magna.com/job/AURORA-Data-Scientist-ONTA-L4G-3M7/564241617/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-02-02T17:44:01.841Z,False,0,15,53,https://talenthub.vectorinstitute.ai/jobs/189570211-data-scientist-at-magna-international,https://jobs.magna.com/job/AURORA-Data-Scientist-ONTA-L4G-3M7/564241617/,expired,2023-01-23T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Manufacturing ,Associate,Masters Degree,New Posting, +1ec70bc1-d4bb-47f4-a308-d49c1f7775fc,190519204,Clearpath,Software Test Co-op,on_site,"Ontario, Canada",2023-01-27T17:42:03.392Z,"

                                Description

                                +

                                Position: Software Test Co-op
                                Location: Kitchener, Ontario
                                Student Level: Junior/Intermediate
                                Education: Software Engineering

                                +

                                About Clearpath Robotics Inc.

                                +

                                Clearpath Robotics Inc. develops the future of robotics technology through development and sale of industry-leading self-driving technology, products, and services to over 500 of the world’s most innovative brands. Proprietary hardware, software, and services are delivered through the company’s research and industrial divisions: Clearpath Robotics and OTTO™ Motors. Clearpath Robotics Inc. is an award-winning company with recent awards including Robotics Business Review Top 50 Robotics Company, Edison Award for Innovation, Business Insider Top 40 under 40, and Canada’s Top 100 Employers.

                                +

                                About OTTO™ Motors

                                +

                                OTTO™ Motors is making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self-driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit www.ottomotors.com

                                +

                                About the Job:

                                +

                                We believe in providing our clients with complete solutions revolutionizing manufacture and warehousing. Clearpath provides system software that allows its customers to direct and monitor their fleet of robots without having to worry about the details.

                                +

                                You will be working in a team responsible for testing Clearpath\'s fleet management and related system software. Your goal is to help build a system of robust and efficient software tests that will enable our Fleet Manager to operate at a high level of reliability for years in the field.

                                +

                                Job Responsibilities:

                                +

                                You will assist in the testing, troubleshooting, and quality assurance of the fleet manager software system, working closely with other members of the test, continuous integration & Fleet software development teams.

                                +

                                Additional tasks may include:

                                - Test plan development and implementation
                                - Executing tests for full system, component, simulation and performance.
                                - Documenting test results.
                                - Capturing issues and artifacts, establishing a strong feedback loop back into development.
                                - Extending test frameworks.
                                - Supporting continuous integration, internal tools, and infrastructure.

                                +

                                Required Skills:

                                - Practical software development and test skills.
                                - Team player, good communicator.
                                - Experience with Python.
                                - Exposure to Linux and version control (Git).
                                - Exposure to web testing frameworks (Cypress, Selenium).
                                - Exposure to HTTP REST API\'s.

                                +

                                Bonus Point for:

                                - System-level testing, and continuous integration.
                                - ROS exposure.
                                - Familiar with scripting e.g. bash.

                                +

                                At Clearpath, we are committed to building and supporting a culture of diversity, inclusion, and accessibility. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, veteran status, sex, sexual orientation, gender identity, and expression. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                                ",,http://jobs.jobvite.com/clearpath/job/obZ4lfwj,feed-importer@jobboard.io,,,,2023-02-02T17:47:04.254Z,False,0,3,12,https://talenthub.vectorinstitute.ai/jobs/190519204-software-test-co-op-at-clearpath,,expired,2023-01-27T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Manufacturing ,Internship/Co-op,Bachelors Degree,New Posting, +3dab2ab4-7a8f-4753-b4bd-ccd8de1336e4,179960297,Scotiabank,"Manager, Change Management - CID&A",on_site,Canada : Ontario : Toronto,2022-12-22T17:22:04.323Z,"

                                +

                                +

                                +

                                +

                                Requisition ID: 169910

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                +

                                Purpose:

                                +

                                +

                                The Manager, Change and Integration, is responsible for delivering transformation activities for data and analytics across the enterprise. This mandate includes providing expertise to plan and execute the change interventions and strategies to ensure the executives, people managers, and employees at all levels adopt changes introduced through data and analytics programs, projects and initiatives to advance the Bank’s objectives. The incumbent is accountable for focusing on the people side of change and integration – including changes to processes, communications infrastructure, culture and standards – that maximize employee adoption and engagement and minimize resistance. This individual manages workstreams in training, communication, culture management, and stakeholder engagement across data and analytics. They will be responsible for the strategic execution to drive increased business usage of data & analytics across the organization.

                                +


                                The incumbent works to streamline change management activities and integrate interactions across data and analytics teams to drive faster adoption, higher utilization and greater benefits realization of data and analytics outputs in the Bank. In fulfilling the role, the incumbent interacts closely with cross functional working groups from both business and technical sides to support realization of the Bank’s Data and Analytics strategy.

                                +

                                +

                                Specifically, the individual will be responsible for:

                                +


                                • Organizing regular stakeholder engagements and working closely with teams to plan and execute key workstreams of the data & analytics culture change strategy and review results related to adoption of standards, processes and tools
                                • Implementing strategic communication and integration efforts for data & analytics to articulate its value and help businesses across the enterprise be data-driven (e.g., utilize more data & analytics in business decisions and become more self-sufficient)
                                • Collaborating with key stakeholders to deliver data & analytics upskilling opportunities across the global enterprise to raise its knowledge and maturity; Elevating the employee experience through departmental onboarding and development programs
                                • Contributing to the creative development and execution of high impact, engaging campaigns and content including: supporting internal communications for initiatives; assisting with editorial calendars and content rollouts; organizing events, developing written materials, multimedia and graphics in support of communications strategies

                                +

                                Accountabilities:

                                +



                                • Execute on key workstreams of the change roadmap for Customer Insights, Data & Analytics (CID&A), outlining business development plan and initiatives to raise data & analytics awareness, literacy, and usage
                                • Collaborate with the change management team for CID&A, leading and developing communications, training, brand awareness and requisite corporate culture change to drive adoption of data and analytics capabilities.
                                • Develop standard and reusable materials that can be leveraged by the CID&A, business lines, and corporate function partners, ensuring messaging and branding is consistent and aligned across data and analysis work streams and functions
                                • Deepen relationships with stakeholders across the enterprise to gain support of data & advanced analytics and build out a network of professionals to solve unique business problems
                                • Support the management of the enterprise Data, Analytics, and AI Community of Practice, equipping business lines and practitioners with the tools and information required to act as effective change agents across the bank
                                • Work closely with the broad Data Office team to execute creative work and strategies that will help achieve objectives such as enhancing the culture around the Bank’s data, increasing awareness, improving data capability understanding and value, and engaging business lines and corporate functions.
                                • Support organization of CID&A events such as townhalls, workshops, summits, etc., as required
                                • Coordinate partnerships (e.g. academia, industry vendors) to enhance data and analytics brand and talent, as required


                                Requirements & Qualifications:

                                +



                                • 3-8 years of work experience in Strategy, Change Management, Data & Analytics, Technology, Innovation, and Business Communication
                                • Demonstrated experience implementing Change Management and adoption strategies in an agile environment; Good understanding of culture change
                                • Experience in developing executive-friendly presentations and dashboards
                                • Strong communication skills with ability to present and influence diverse stakeholders; Spanish is desirable but not required
                                • Knowledge in communication best practices and approaches, as well as an innate ability to ‘connect the dots’ on seemingly remote thoughts or messages
                                • Effective execution skills to ensure the successful delivery/implementation of the change management strategy; Experience in project delivery and support
                                • Drive to succeed with bias towards action and ability to navigate large organizations and build collaborative relationships; Proven ability to engage and manage stakeholders in a complex, matrixed environment
                                • Strong curiousity to learn with adaptive and creative mindset
                                • Working knowledge of data and analytics technologies (big data tools, cloud/GCP, Hadoop, APIs, etc) and services (AI / Machine Learning, NLP, blockchain, chatbots, DevOps, agile delivery, etc) is an strong asset
                                • A Master’s degree in Business Administration, or Analytics and AI Management is an asset

                                +

                                +

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Change-Management-CID&A-ON-M5H1H1/566163917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-04T15:01:55.364Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/179960297-manager-change-management-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Change-Management-CID&A-ON-M5H1H1/566163917/,expired,2022-12-22T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Masters Degree,New Posting, +35d6f866-7d45-4c8f-8b13-cd3a30a480f6,179960344,TD Bank Group,Data Scientist II (Data Conversion and Data Migration),on_site,"Toronto, ON",2022-12-22T17:24:06.283Z,"
                                +

                                Company Overview

                                +
                                +

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                +

                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                +
                                +

                                +

                                Department Overview

                                +
                                +

                                What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

                                +

                                As part of our Data and Analytics team, you’ll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

                                +

                                TD’s vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you’ve been in business as long as we have, you know there’s no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

                                +
                                +

                                +

                                Job Description

                                +
                                +

                                About this Role
                                While you are a natural leader, you don’t mind getting your hands dirty. And in your role, you will simultaneously work to create data related solutions to drive business results, while working with senior leadership to communicate timelines and progress and identify business opportunities. You are not only a functional expert, you also possess broad managerial experience and specialized knowledge of regulatory and industry frameworks, using that knowledge to inform development cycles and develop industry leading analytic solutions. Most of all, your work ethic and thought leadership inspires your team to innovate with purpose, execute with speed, collaborate to deliver world-class data solutions and ultimately become leaders themselves.
                                We are looking for someone to work as part of a trailblazing team of data scientists who create groundbreaking analytical solutions that improve our core work enterprise wide.
                                As a Data Scientist II, these are the essential qualifications of this role:

                                +
                                  +
                                • Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative data solutions that will become core work you’re doing
                                • +
                                • Work closely with business owners to find opportunities and serve as an ambassador for data science
                                • +
                                • Design and deliver enterprise analytic solutions for stakeholders
                                • +
                                • Participate in Workday implementation activities including discovery, design, configuration, documentation, testing, and project review sessions related to data conversion activities
                                • +
                                • Facilitate data discovery workshops, downstream impact analyses and proactively manage stakeholder expectations
                                • +
                                • Lead projects of moderate to complex risk and data requirements; may lead end-to-end data conversion activities
                                • +
                                • Analytical thought leadership and staying ahead of developments in data mining and the application of data science
                                • +
                                • Work independently as a senior lead and may manage and direct activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
                                • +
                                • Conduct a range of data analyses, demonstrating your in-depth experience with very large datasets and big data technologies; assessing business information-related data requirements aligned to business needs and for specific data platforms, applications systems and servers
                                • +
                                • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
                                • +
                                +
                                +

                                +

                                Requirements

                                +
                                What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                +
                                  +
                                • Undergraduate degree or technical certificate
                                • +
                                • Seven (7) or more years relevant experience implementing enterprise solutions with at least one full life cycle using Workday
                                • +
                                • Sound conceptual knowledge in your area of specialty
                                • +
                                • Advanced analytical and problem-solving skills
                                • +
                                • Strong programming skills in Python and PySpark.
                                • +
                                • Comfortable in version control tools such as Git and knowledge of cloud environments such as Microsoft Azure.
                                • +
                                • Experienced in working in Big Data Analytical environments/technologies (Hadoop, HIVE, Spark), with a deep understanding of data mining and analytical techniques.
                                • +
                                • Experienced in working with relational databases.
                                • +
                                • Strong knowledge of Human Resources, financial services, and banking products. Working knowledge of Human Capital Management is preferred.
                                • +
                                • Out-of-the-box thinker who seek out innovative solutions and embrace evolving technologies
                                • +
                                • Strong ability to work collaboratively and independently, communicate effectively (both speaking and writing), follow instructions/direction, and help building relationships across teams and functions
                                • +
                                • Act as a brand champion for our business area / function and TD, both internally and externally
                                • +
                                +
                                +

                                +

                                Additional Information

                                +
                                  +
                                • Data Conversion and Data Migration
                                • +
                                • Experience working with any ERP system
                                • +
                                +

                                +

                                Hours

                                +
                                37.5
                                +

                                +

                                Inclusiveness

                                +

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                +

                                +
                                ",,https://jobs.td.com/en-CA/jobs/15245254/data-scientist-ii-data-conversion-and-data-migration-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-02-04T15:15:30.646Z,False,0,2,12,https://talenthub.vectorinstitute.ai/jobs/179960344-data-scientist-ii-data-conversion-and-data-migration-at-td-bank-group,https://jobs.td.com/en-CA/jobs/15245254/data-scientist-ii-data-conversion-and-data-migration-toronto-ca/,expired,2022-12-22T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +bfa7f4d3-06aa-4db8-9fec-4ce40cc3716b,182852947,Google,"Developer Manager, Media, Graphics, and Display, Augmented Reality",on_site,"Toronto, ON, Canada",2023-01-02T17:20:02.418Z,"
                                +
                                +2022-12-07T11:10:56.825Z
                                +
                                  +
                                • Share
                                • +
                                  Save +
                                • +

                                Developer Manager, Media, Graphics, and Display, Augmented Reality

                                  +
                                • Google
                                • +
                                • In-office:
                                  + Waterloo, ON, Canada +
                                • +
                                +
                                +

                                Qualifications

                                +

                                Minimum qualifications:

                                  -
                                • Builds effective relationships with internal/external stakeholders.

                                • -
                                • Leads/participates in the design, implementation and management of new analytics & reporting solutions.

                                • -
                                • Designs, develops, and implements innovative analytical solutions.

                                • -
                                • Designs and produces regular and ad-hoc reports, and dashboards.

                                • -
                                • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.

                                • -
                                • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).

                                • -
                                • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.

                                • -
                                • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.

                                • -
                                • Designs, develops, and implements innovative analytical solutions.

                                • -
                                • Designs and produces regular and ad-hoc reports, and dashboards.

                                • -
                                • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.

                                • -
                                • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.

                                • -
                                • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.

                                • -
                                • Analyzes data and information to provide subject-matter insights and recommendations.

                                • -
                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.

                                • -
                                • Documents and maintain operational procedures and processes relating to analytical and reporting processes.

                                • -
                                • Builds effective relationships with internal/external stakeholders.

                                • -
                                • Collaborates with internal and external stakeholders in order to deliver on business objectives.

                                • -
                                • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.

                                • -
                                • Exercises judgment to identify, diagnose, and solve problems within given rules.

                                • -
                                • Works independently on a range of complex tasks, which may include unique situations.

                                • -
                                • Broader work or accountabilities may be assigned as needed.Qualifications:

                                • -
                                • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

                                • -
                                • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to ETL, SQL, SAS, Spotfire, Tableau, R, Python, MATLAB, SPSS - Very good.

                                • -
                                • Technical proficiency gained through education and/or business experience.

                                • -
                                • Verbal & written communication skills - In-depth.

                                • -
                                • Collaboration & team skills - In-depth.

                                • -
                                • Analytical and problem solving skills - In-depth.

                                • -
                                • Influence skills - In-depth.

                                • -
                                • Data driven decision making - In-depth.

                                • +
                                • Bachelor\'s degree or equivalent practical experience.
                                • +
                                • 5 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
                                  +
                                • +
                                • 5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role.
                                -

                                -

                                -

                                We’re here to help

                                -

                                -

                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                -

                                -

                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                -

                                -

                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                -

                                -

                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                -

                                -

                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                -
                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Mississauga-ON-CAN/Intermediate-ETL-Developer_R230002295?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-03-13T17:17:03.072Z,False,0,1,11,https://talenthub.vectorinstitute.ai/jobs/196076538-intermediate-etl-developer-at-bmo-financial-group,,expired,2023-02-13T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -36363541-0aef-468a-9733-db5841938f92,202115579,Sun Life Financial,Data Scientist,on_site,"Ontario, Canada",2023-03-06T17:41:01.389Z,"
                                -

                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                +

                                Preferred qualifications:

                                +
                                  +
                                • Master\'s degree or PhD in Computer Science or related technical field.
                                  +
                                • +
                                • 7 years of experience designing and implementing OS and application runtime components.
                                  +
                                • +
                                • 5 years of experience in a technical leadership role leading project teams and setting technical direction.
                                  +
                                • +
                                • 3 years of experience working in a complex, matrixed organization involving cross-functional, projects.
                                  +
                                • +
                                • Experience with bare-metal or RTOS-based microcontroller development in C or C++.
                                  +
                                • +
                                • Experience with one or more of the following: microcontrollers, SoC, ISP, DSP, GPU, display and device drivers, hardware bring-up, power management, ARM processors, firmware, hardware/software integration, developing and debugging machine language, or wireless connectivity
                                  +
                                • +
                                +
                                +
                                +
                                +

                                About the job

                                +

                                Like Google\'s own ambitions, the work of a Software Developer goes way beyond just Search. Software Development Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of software developers. You not only optimize your own code but make sure software developers are able to optimize theirs. As a Software Development Manager you manage your project goals, contribute to product strategy and help develop your team. Software Development teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software developers are just getting started -- and as a manager, you guide the way.

                                +
                                +

                                Google\'s software developers develop the next-generation technologies that change how users connect, explore, and interact with information and one another.

                                +

                                You will work on and develop ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design, mobile, and more.

                                +

                                In this role, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as the business grows/evolves.

                                +
                                +

                                The Google Augmented Reality team is a diverse group of experts tasked with building the foundations for great immersive computing and building helpful, delightful user experiences. We\'re focused on making immersive computing accessible to billions of people through mobile devices, and our scope continues to grow and evolve.

                                +
                                +
                                +
                                +

                                Responsibilities

                                  +
                                • Lead the developing efforts for the media team, including audio, video, and camera software and hardware components.
                                • +
                                • Guide efforts to utilize accelerators (e.g., DSPs, GPUs, hardware, software, etc.).
                                  +
                                • +
                                • Design, guide, and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.
                                  +
                                • +
                                • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
                                • +
                                • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback and triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
                                  +
                                • +
                                +
                                +

                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                                At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                                +
                                +
                                +
                                ",,"https://careers.google.com/jobs/results/140922544619168454-developer-manager-media-graphics-and-display-augmented-reality/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-02-04T16:38:59.539Z,False,0,2,27,https://talenthub.vectorinstitute.ai/jobs/182852947-developer-manager-media-graphics-and-display-augmented-reality-at-google,,expired,2023-01-02T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Manager,Bachelors Degree,New Posting, +7a4c33df-d844-41f5-8802-76c0314b182f,181831442,Scotiabank,"Manager, Decisioning Models - Retail & Small Business",on_site,Canada : Ontario : Toronto,2022-12-29T17:22:03.214Z,"

                                +

                                +

                                +

                                +

                                Requisition ID: 164210

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                +

                                The world is changing faster than ever and so are we!

                                +

                                +

                                Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

                                +

                                Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

                                +

                                +

                                What You'll do in this Role?

                                +

                                As a Manager, you will report directly to a Senior Manager or Director and be a critical member of a team overseeing a portfolio of decisioning models and supporting analytic processes. You will support – from conception through execution and governance – the risk decisioning models used by 2 or more of the bank’s retail and small business product lines, across the entire customer lifecycle. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Model Operations, Product, Risk Strategy & Risk Management, Model Validation and Governance, Technology & Data, Finance, Legal, Compliance and Audit.

                                +

                                +

                                Your team will have access to both traditional SAS tools and a modern machine learning stack that includes on-premise GPU computing, open source Jupyter development environments, a Hadoop cluster, containerized API model deployment and data visualization business intelligence tools.

                                +

                                +

                                Under the guidance of your Director, your team of risk modeling experts will use these tools to develop advanced risk prediction models that will be used potentially millions of times, every year and therefore need to be not only accurate and precise, but highly stable, explainable, compliant, secure and useful. You will be responsible for understanding the goals & priorities set for you, executing them efficiently with a perpetual eye on quality, asking questions often and delivering results in harmony with your teammates.

                                +

                                +

                                Is This Role Right for You?

                                +
                                • You believe, first and foremost, in always doing the right thing and doing things the right way
                                • You are both deeply curious and highly pragmatic
                                • You are comfortable with ambitious but realistic goals and are committed to achieving them
                                • You are social, engaging, not afraid to ask questions and relish the opportunity to learn from business partners (the majority of whom will be far less technical than you)
                                • You relish the implication and yet also understand the responsibility and weight that comes with the fact that every single time your model is used, it impacts a real human being
                                • You understand the difference between accuracy and precision and get excited by really great KS values and ROC curves
                                • You have a genuine love, passion and talent for programming, data, and predictive modeling
                                • You are comfortable initiating conversations and collaborating with diverse personalities
                                • You are committed to quality in everything you do – statistically, process and governance wise
                                • You look forward to sharing your insights with your peers through high-quality effective verbal and written communications
                                • You are professional, motivated AND FUN. We mean it.
                                • +
                                +

                                Sample projects that you might work on include:

                                +
                                • Complete specialized analysis, develop creative statistical solutions and recommend improvements to estimation techniques, risk rating systems and/or internal or vendor-developed credit risk models
                                • Collaborate with risk management teams, external vendors, technology, and country risk counterparts as well as other stakeholders (i.e. audit, product) to ensure consistent and effective governance, measurement and communication of models / scorecards and their performance
                                • Conduct research of new innovative modeling methodologies, tools and regulatory requirements; develop new methodologies for model development, monitoring and reporting
                                • Lead the periodic review and maintenance of credit risk models / scorecards
                                • Identify, promote and lead process improvements for model development and monitoring
                                • Ensure that the data used for model development is reliable and robust and that it adheres to industry and regulatory standards
                                • +
                                +

                                +

                                What Are We Looking For?

                                +

                                We want talented pragmatic analytically oriented data scientists who are equally at home interpreting and applying statistics as they are ingesting and massaging data, translating regulatory requirements into models and explaining complex issues in simple concise ways. We want bright and energetic minds who come armed with a bottomless sense of curiosity about everything (great models and analytics are about so much more than just the numbers!), a passion for getting things done right – the first time – and a deep sense of personal and professional accountability.

                                +

                                To be a Manager in Retail Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you also need to be a collaborative team player who actively listens to stakeholders and customers because you are passionate about helping them win and you need to be interested in building something lasting and great. Working with customers across the bank to understand and translate their needs into outcomes, exploring both novel and legacy data sets and methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that your team “owns” will all be equally important.

                                +

                                We are results driven, we work hard, we play hard, we nerd out and we bring service, smiles and solutions to every problem that we face; so should you.

                                +

                                +

                                Do you have the skills that will enable you to succeed in this role?

                                +

                                General

                                +
                                • Bachelor’s Degree in Mathematics, Computer Science, Engineering or an equivalent technical field
                                • A demonstrated history of analytic problem solving and sound judgment
                                • Experience as an analyst or data scientist with a track record of accomplishments working on cross-functional teams
                                • Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit high-quality documentation and be accepted as a trusted advisor by peers
                                • Able to work remotely and on-site on multiple activities simultaneously and meet deadlines
                                • +
                                +

                                +

                                Technical

                                +
                                • Strong fundamental understanding of statistics
                                • 2+ years of overall experience in analytic roles developing and using predictive, risk and/or forecasting models
                                • Highly proficient in 1 or more analytical programming languages (Python, R, SAS, etc.), SQL (Teradata, Oracle, DB2, SQL Server) and multiple environments (Unix & Windows)
                                • 1 or more years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
                                • Knowledge of credit risk models / scorecards
                                • +
                                +

                                +

                                Nice To Have's

                                +
                                • Proficient reading, writing and speaking Spanish (not required)
                                • Experience developing credit risk models / scorecards
                                • Domain expertise with any retail & small business banking products and/or risk management practices
                                • FRM, CFA credentials
                                • Experience training and deploying machine learning models using common Python open source frameworks (i.e., scikit-learn) and/or Python DevOps
                                • Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI) power user
                                • Experience working with FICO / TSYS / CGI decision systems (TRIAD, OM, ACE, CACS)
                                • +
                                +

                                What's In it For You?

                                +
                                • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
                                • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                                • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
                                • Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
                                • A competitive compensation package
                                • +
                                +

                                +

                                This position is located in downtown, Toronto. There are two positions available.

                                +

                                +

                                +

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Decisioning-Models-Retail-&-Small-Business-ON-M5H1H1/564040217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-02-04T16:15:27.813Z,False,0,1,6,https://talenthub.vectorinstitute.ai/jobs/181831442-manager-decisioning-models-retail-small-business-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Manager%2C-Decisioning-Models-Retail-&-Small-Business-ON-M5H1H1/564040217/,expired,2022-12-29T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +b2bead8e-8514-4532-aa03-2ba237a47ea1,181831141,Google,"Operations Technician, Data Center (English)",on_site,"Toronto, ON, Canada",2022-12-29T17:20:02.227Z,"
                                +
                                +2022-12-23T14:00:52.747Z
                                +
                                  +
                                • Share
                                • +
                                  Save +
                                • +

                                Operations Technician, Data Center (English)

                                  +
                                • Google
                                • +
                                • In-office:
                                  + Toronto, ON, Canada +
                                • +
                                +
                                +

                                Qualifications

                                +

                                Minimum qualifications:

                                +
                                  +
                                • Diploma of College Studies in Computer Science or Electronics, or equivalent practical experience.
                                  +
                                • +
                                • Experience in Operating Systems and Networking Protocols.
                                • +
                                • Security clearance from the Government of Canada for Protected B work sites.
                                  +
                                • +
                                • Ability to speak and write in English fluently.
                                • +
                                +

                                Preferred qualifications:

                                +
                                  +
                                • Experience working with computer hardware and server hardware or troubleshooting/diagnosing.
                                  +
                                • +
                                • Experience in collaborating and partnering with teams.
                                  +
                                • +
                                • Ability to speak in both French and English fluently.
                                  +
                                • +
                                +
                                +
                                +
                                +

                                About the job

                                +

                                Google isn\'t just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google\'s powerful search technology. As an Operations Technician, you\'ll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google\'s Linux cluster). You\'ll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You\'ll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.

                                +

                                Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google\'s product portfolio possible. We\'re proud to be our software developers, developers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

                                +
                                +
                                +
                                +

                                Responsibilities

                                  +
                                • Contribute to and lead efforts/projects in the deployment, maintenance and support of data center infrastructure.
                                  +
                                • +
                                • Lead troubleshooting and resolve escalated technical issues over a population of affected equipment.
                                • +
                                • Help test and troubleshoot new complex server hardware components and designs.
                                • +
                                • Configure and troubleshoot OS-related issues on servers.
                                • +
                                +
                                +

                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                                At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                                +
                                +
                                +
                                ",,"https://careers.google.com/jobs/results/131345155136332486-operations-technician-data-center-english/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-02-04T16:14:23.478Z,False,0,4,19,https://talenthub.vectorinstitute.ai/jobs/181831141-operations-technician-data-center-english-at-google,,expired,2022-12-29T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,College Diploma,New Posting, +cedfb7ef-4405-402b-b3fe-fd992e2765ea,183866325,EllisDon,Data Engineer,on_site,"Mississauga, ON L4Y1M4, CAN Mississauga, ON L4Y1M4, CAN",2023-01-05T17:39:02.875Z,"

                                Job Details

                                Description

                                +

                                Connect with us LinkedIn, Instagram, Facebook, Twitter

                                +

                                EllisDon is committed to being the safest general contractor. As part of our vaccine directive, we require employees to be fully vaccinated, or in the process of receiving the vaccine against COVID-19. Should you have any additional questions related to our vaccine directive as you move forward in the hiring process, please discuss this with our People & Culture team.

                                +

                                Thinking about a change?

                                +

                                We recognize that the construction industry is changing at a rapid pace and we continually strive to be at the forefront. Our core values empower people to deliver great careers and develop creative solutions for complex problems on some of the most intricate projects. It doesn’t matter what your expertise and craft is – there are no boundaries. We are a group of leading professionals with a variety of expertise: engineers, investment bankers, superintendents, estimators, software engineers, accountants, lawyers, marketing and communications consultants, sustainability professionals, and project managers. As you can see, we are a diverse bunch.

                                +

                                In case you’re curious, here’s what the industry thinks of us and some cool things we have done.

                                +

                                +

                                You as a Data Engineer (Insight and Analytics) will:

                                +
                                  +
                                • Be a technical lead in the development of high-volume platforms & Data pipelines
                                • +
                                • Work with relevant stakeholders to identify sources of data and map out processes/data flow while researching opportunities for data acquisition and innovative new uses for existing data.
                                • +
                                • Design, construct, install, test, and maintain highly scalable data management systems while integrating new data management technologies into existing structures.
                                • +
                                • Develop ETL processes to move internal and external data into EllisDon's external cloud-based data lake: Develop separate ETL processes to move data from data lake to data warehouse(s).
                                • +
                                • Provide input and feedback to support continuous improvement in team processes
                                • +
                                • Providing thought leadership for all data solutions, including designing data solutions that meet and exceed customer expectations.

                                • +
                                • Continually improve our data pipelines and find innovative ways to maximize automation while recommending ways to improve data reliability, efficiency, and quality.

                                • +
                                +

                                Is this the right role for you?

                                +
                                  +
                                • Have knowledge and understanding of Programming Languages: Python and/or Java, SQL, ETL methodologies and toolsets, AWS/Google ecosystem, Database design, MS SQL, MySQL and/or Redshift/Big Query and NoSQL
                                • +
                                • Comfortable working in a fast-paced environment and collaborative environment
                                • +
                                +

                                EllisDon is proud to provide this unique career opportunity within a progressive environment with continuous learning and opportunity for growth, as well as a competitive compensation package.

                                +

                                Go ahead and be yourself. We'll pay you for it!

                                +

                                We are an equal opportunity employer. While only qualified candidates will be contacted for an interview, be sure to continually check our website for other related positions as they are posted.

                                +

                                Accommodation for Applicants will be made during the recruitment process when requested.

                                +

                                Apply today at www.ellisdon.com (or Share on LinkedIn , Facebook)

                                Qualifications

                                Skills

                                Behaviors

                                :

                                Motivations

                                :

                                Education

                                Experience

                                Licenses & Certifications

                                ",,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=7a6e8aa5-f1a1-4968-a315-d2f415a5a841,feed-importer@jobboard.io,,,,2023-02-04T21:38:30.459Z,False,0,19,59,https://talenthub.vectorinstitute.ai/jobs/183866325-data-engineer-at-ellisdon,https://recruiting.ultipro.ca/ELL5000/JobBoard/fa7dd324-0b16-f8cb-f544-f46b499e5db7/OpportunityDetail?opportunityId=7a6e8aa5-f1a1-4968-a315-d2f415a5a841,expired,2023-01-05T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Construction or Infrastructure,Associate,Bachelors Degree,New Posting, +e3ddfba5-ea59-43c4-bee2-6c069fb1e562,154076345,CN,"Intern, Data Migration Analyst",on_site,"Ontario, Canada",2022-09-30T07:35:03.101Z,"
                                +

                                At CN, everydaybrings new and exciting challenges. You can expect an interesting environmentwhere you’re part of making sure ourbusiness is running optimally and safely―helping keep the economy on track. We welcome students who share theirideas, perspectives and understanding of newtechnologies withour teams. In return, we provide the opportunity towork on exciting projects with experienced collaborators who are happy to share their knowledge, all within a mutually-agreed to framework. Youwill be able to thrive in our close-knit, safety-focused culture workingtogether as ONE TEAM. The opportunities we offer are meaningful because thework we do matters. Join us!

                                +

                                +

                                Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern, Data Migration Analyst position in Montreal, Quebec for winter 2023 (January – April)

                                +

                                Job Summary

                                +

                                The Intern, Data Migration Analyst is responsible for collaborating with Data Migration to support the Systems, Applications and Products (SAP) business transformation that CN is currently undertaking. The incumbent performs data migration roadmap. The position carries out tasks related to the current data and data structures that constitute the new environment, including master and transactional data objects identification, data profiling and quality assessment, establish data cleansing strategies and their implementation, iterative data validation runs, and corrective actions prior to mock-ups and actual production migrations. The role contributes to the data enrichment activities and mapping as well as the transformations required to meet the updated business processes requirements, including mapping validation, troubleshooting, reconciliation prior to mock-ups, and actual production migrations.

                                +

                                Major Responsibilities

                                +

                                Data-related Tasks Associated to the As-Is Environment – 50%

                                +
                                  +
                                • Support the data team in accomplishing tasks
                                • +
                                • Identify data objects and profile quality
                                • +
                                • Clean data object strategies and their implementation
                                • +
                                • Clean validation and implement corrective measures
                                • +
                                +


                                +

                                Data-related Tasks Associated to the To-Be Environment – 50%

                                +
                                  +
                                • Identify data mapping and transformation requirements according to the business process re-engineering efforts
                                • +
                                • Sandbox assessment of data mapping and transformation methods as well as algorithms
                                • +
                                • Validate runs and implement corrective measures
                                • +
                                +

                                Requirement

                                +

                                Education/Certification/Designation

                                +
                                • Bachelor’s Degree in Technical or Business fields with interest in data management, including business analysis and processes, Mathematics, Statistics, Data Science, and Engineering
                                +


                                +

                                Skills/Knowledge/Assets

                                +
                                  +
                                • Interest in managing data, including its meaning, attributes, characteristics, and business value
                                • +
                                • Interest in business processes and how data interrelates with those processes
                                • +
                                • Applies critical thinking
                                • +
                                • Interest in identifying issues and applying resolution in complex data sets
                                • +
                                • Interest in handling data
                                • +
                                • Knowledge of Excel and other equivalent productivity tools
                                • +
                                • Evaluates data compliance with business rules such as quality metrics
                                • +
                                • Applies cleansing strategies, mapping, and transformation rules as well as analyze the outcome, determine, and apply corrective measures
                                • +
                                • Communicates with impact
                                • +

                                +

                                +

                                About CN

                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                +

                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                +
                                ",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/9043?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2022-10-18T17:37:00.000Z,False,0,5,43,https://talenthub.vectorinstitute.ai/jobs/154076345-intern-data-migration-analyst-at-cn,,expired,2022-09-30T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Transportation,Internship/Co-op,Masters Degree,New Posting, +2d05c8c3-0d56-4544-850e-be92a0b772a2,143494093,CN,"Intern, Data Scientist – Computer Vision",on_site,"Ontario, Canada",2022-08-11T07:35:11.046Z,"
                                +

                                At CN, everydaybrings new and exciting challenges. You can expect an interesting environmentwhere you’re part of making sure ourbusiness is running optimally and safely―helping keep the economy on track. We welcome students who share theirideas, perspectives and understanding of newtechnologies withour teams. In return, we provide the opportunity towork on exciting projects with experienced collaborators who are happy to share their knowledge, all within a mutually-agreed to framework. Youwill be able to thrive in our close-knit, safety-focused culture workingtogether as ONE TEAM. The opportunities we offer are meaningful because thework we do matters. Join us!

                                -

                                Job Description:

                                +

                                Canadian National Railway Company (CN) is looking for a highly motivated person to fulfill a full-time (40h/week) Intern, Data Scientist – Computer Vision position in Canada for fall 2022 (September – December).

                                +

                                Job Summary

                                +

                                The Intern, Data Scientist – Computer Vision is responsible for working on CN’s Automated Train Inspection (ATI) program and support the development and evaluation of the Machine Learning (ML) and Computer Vision pipeline. The incumbent assists with the automation of the image annotation process and explores training of neural networks leveraging small datasets. The position ensures consistency across image annotations for the ML and Deep Learning (DL) models training.

                                +

                                Major Responsibilities

                                +
                                  +
                                • Perform research on efficient learning algorithms that require fewer manually labeled data sets such as Active Learning, Semi-Supervised learning, and Few-Shot Learning
                                • +
                                • Publish research findings to ML conferences might be a possibility
                                • +
                                • Support Data Scientist and ML Developer on the design and development of ML Solutions
                                • +
                                • Translate the technology solution architecture into engineering and software development standards and specifications
                                • +
                                • Apply and ensure compliance with appropriate CN Information and Technology (I&T) standards, including Security, Architecture, Project Delivery Methodology, Sarbanes-Oxley (SOX), Telecom, and Software Engineering
                                • +
                                • Conduct code reviews and ensure coding standards
                                • +
                                +

                                Requirements

                                +
                                  +
                                • Experience with Python, Shell, and other scripting languages
                                • +
                                • Knowledge of DL frameworks such as Pytorch, Tensorflow, and Keras
                                • +
                                • Knowledge of Computer Vision for Objects Detection, Segmentation, and Classification
                                • +
                                • Applies critical thinking
                                • +
                                • Communicates with impact
                                • +
                                • Solves problems to create value
                                • +
                                • Experience in Active Learning, Semi-Supervised Learning, and Few-Shot Learning algorithms*
                                • +
                                +

                                Education

                                +
                                • Working toward a Bachelor’s Degree, Master’s Degree or Ph.D. Degree in Computer Science, Computer Engineering, Software Engineering, Artificial Intelligence (A.I.), ML or a related field of study
                                +

                                *Any experience/education/skills/knowledge for these above would be considered as an asset

                                -

                                Role Summary

                                -

                                Within Sun Life, the Analytics & Insights teams are comprised of savvy and intellectually curious professionals who are on a mission to transform how we apply data and analytics to support Sun Life becoming client-centric. An integral part of the Analytics & Insights organization, the Data Science team supports Canadian business units in their journey to leverage data and analytics as a foundational pillar in delivering business value

                                +

                                About CN

                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                +

                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                +
                                ",,https://cn360.csod.com/ux/ats/careersite/6/home/requisition/8929?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2022-08-18T07:40:00.000Z,True,0,14,112,https://talenthub.vectorinstitute.ai/jobs/143494093-intern-data-scientist-computer-vision-at-cn,,expired,2022-08-11T07:35:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Transportation,Internship/Co-op,Bachelors Degree,New Posting, +dacd2eb6-7b00-4c14-9dc3-68cca5a94ebe,84434811,Unity Health Toronto,Junior Data Scientist - Data Science & Advanced Analytics,temporary,"Toronto, ON, Canada",2021-09-21T06:09:18.651Z,"

                                The Data Science and Advanced Analytics (DSAA) team at Unity Health Toronto houses a team of Data Scientists devoted to applying data science to advance patient care and health system efficiency at Unity Health Toronto. DSAA is looking for a Data Scientist who will focus on machine learning applications in healthcare.

                                +

                                DSAA works closely with physicians and administrators at St. Michael’s Hospital and researchers at the University of Toronto in a team-based environment. The Data Scientist will use the Enterprise Data Warehouse at St. Michael’s Hospital as the primary data source to provide data-driven insights into key drivers of patient outcomes and hospital performance. The Enterprise Data Warehouse at St. Michael’s Hospital is one of the most comprehensive inpatient databases in Canada.

                                +

                                As part of the data science team, the successful candidate will support Sr. Data Scientists in all stages of DSAA analytic projects. Responsibilities will include importing, manipulating and cleaning raw data, exploring and creating data summaries including data visualization and tabular reports. Additionally, the candidate will contribute to building and validating predictive models using analytical techniques such as time series analysis, multivariable regression analysis, and neural networks. Other responsibilities will include contributing to manuscripts and ethics applications, ad hoc report generation and support of data management activities, which may involve database validation, data review, and quality control. Data Scientists at the DSAA have areas of specialization within machine learning, simulation modeling, and/or biostatistics. The possible areas of specialization for this Data Scientist position are time series models, forecasting, graphical methods, Bayesian methods, and/or ML/ModelOps.

                                +

                                DUTIES & RESPONSIBILITIES:

                                +
                                  +
                                • Conducting analysis with basic supervised and unsupervised machine learning methods is an asset, including: Linear regression, logistic regression, GLM, penalized regression, SVM, random forest, xgboost, and neural networks
                                • +
                                • Perform descriptive and inferential statistical analysis in R and/or Python. Write HTML/PDF/Microsoft Word reports summarizing the analysis.
                                • +
                                • Validate output tables, listings or figures generated to ensure accuracy and reliability of analyses
                                • +
                                • Produce high quality ad hoc and standardized reports customized per project, using R/Python procedures, tailored to different end-users (e.g. clinicians, researchers, senior management, and hospital executives)
                                • +
                                • Develop efficient programs, algorithms, or systems to reduce programming time of standardized data analyses and reports
                                • +
                                • Assist with writing project protocols, including: data extraction, cleaning, predictive modelling, and validation plans
                                • +
                                • Write queries to extract data from the St. Michael’s Hospital Enterprise Data Warehouse (EDW)
                                • +
                                • Pre-process raw data to prepare for analysis. This includes cleaning and merging data from multiple sources, as well as understanding overall data quality.
                                • +
                                • Design and develop dashboards and reports with interactive visualizations using libraries like Highcharts, plotly, etc.
                                • +
                                +

                                QUALIFICATIONS:

                                +
                                  +
                                • A Master's degree Computer Science, Statistics/Biostatics or related quantitative or informatics disciplines, with at least 1 year of relevant work experience (We will also consider other degrees and disciplines in conjunction with applied experience)
                                • +
                                • Expert level programming with either R (preferred) or Python is required
                                • +
                                • Experience working with and manipulating large datasets
                                • +
                                • Familiarity with databases such as: Netezza, SQL, Oracle, etc.
                                • +
                                • Familiarity with version control (git, Github, GitLab).
                                • +
                                • Experience writing reproducible reports using R Markdown (preferred) and/or Jupyter Notebooks
                                • +
                                • A deep understanding and experience with classical hypothesis testing, regression and classification tasks using generalized linear models, penalized regression, decision tree learning, random forest, support vector machines
                                • +
                                • Experience with time series modeling approaches, such as ARIMA, state space modeling, feed forward and recurrent neural networks is an asset.
                                • +
                                • Experience with graphical methods would be an asset
                                • +
                                • Experience with Bayesian methods would be an asset
                                • +
                                • Experience with ML/ModelOps would be an asset
                                • +
                                • Experience in healthcare is an asset
                                • +
                                • Demonstrated ability to manage statistical programming activities
                                • +
                                • Proficient with MS Office software (Word, Excel, PowerPoint, Outlook, etc.)
                                • +
                                • In order to be considered for this position, please include links to any public-facing code and tools you have created (e.g., personal or institutional Github repositories, your website)
                                • +
                                +

                                As a condition of employment, all external hires will be required to submit proof of COVID-19 vaccination or documentation unless a valid accommodation under the Ontario Human Rights Code exists.

                                ",,https://unityhealth.to/careers-at-unity-health-toronto/?JobNumber=884265,kaiyin.zhu@unityhealth.to,https://unityhealth.to/,,,2021-10-14T17:41:00.000Z,False,0,30,201,https://talenthub.vectorinstitute.ai/jobs/84434811-junior-data-scientist-data-science-advanced-analytics-at-unity-health-toronto,,expired,2021-09-21T06:09:00.000Z,website-existing-job-slot,Enterprise (500+),Application Click Through,Health,Associate,Masters Degree,New Posting, +f0a803d1-a8d6-4631-9e4a-7b087eb93f0c,167454774,TD Bank Group,Sr. Data Engineer,on_site,"Toronto, ON",2022-11-15T17:24:03.573Z,"
                                +

                                Company Overview

                                +
                                +

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                +

                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                +

                                -

                                The Data Scientist you will focus on supporting Canadian business units in accelerating the growth and application of analytics in driving value. The data scientist will leverage practical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases.

                                +

                                Department Overview

                                +
                                +

                                Business Information Management (BIM) at TD is part of a creative, enterprise-wide data and analytics ecosystem. Roles in BIM are highly professional and valued, specialized yet inter-connected and focused on making the availability of business information to designers, developers and decision-makers a priority, all with a united purpose to serve customers and continually build a better bank.

                                +

                                We’re looking for analytical and agile professionals who can merge and translate data into technology and business information, serving today’s business needs and setting in motion TD’s longer-term goals and strategic objectives.

                                +

                                If you get data, its power and potential, we think you’ll love working at TD, where data knows no bounds and where your professional expertise will help to drive the business forward and take your own career to new heights.

                                +

                                -

                                Sun Life views success in this role in demonstration of these key attributes:

                                -

                                Fierce curiosity. You are drawn to discovering and leveraging new data and taking on challenging business puzzles. An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing. A passion for solving problems. The most successful data scientists’ solution for what the right data to use, they solve using the most suitable (not most advanced) algorithms for the problem at hand and figure out how to execute and deliver with highest efficiency. Technical skills in both data and computer science. There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured data (SQL) Thirst for learning. You are a data scientist who is constantly updating their knowledge of data science state-of-the-art.

                                +

                                Job Description

                                +
                                +

                                Enjoy partnering with colleagues and directing data traffic? In this advanced professional role, you’ll work both independently and within teams as a senior lead analyst. Colleagues and business partners will look to you to manage and direct activities related to analysis, design and support of business data management solutions, including larger projects.

                                +

                                As a Senior Business Information Management Analyst, you will:

                                +

                                · Be the expert-level team analyst, considered an authority with in-depth knowledge and experience in your field of specialty as well as working knowledge of broader related areas

                                +

                                · Lead projects of moderate to complex risk and resource requirements; may lead end-to-end processes or functional programs

                                +

                                · Analyze and understand business and data requirements to develop complete business solutions (e.g. analysis of data models, entity relationship diagrams, data lifecycle management, governance, lineage, metadata and reporting elements)

                                +

                                · Develop business requirements; design and implement complex business data information management frameworks

                                +

                                · Apply automation and innovation on data platforms and on new development projects / initiatives

                                +

                                · Conduct a range of data analyses, demonstrating your in-depth experience with very large datasets and big data technologies; assessing business information-related data requirements aligned to business needs and for specific data platforms, applications systems and servers

                                +

                                · Partner and collaborate with business and technology partners to resolve data / application issues and ensure requirements delivery

                                +

                                · Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality and innovation and, ensure timely communication of issues/points of interest

                                +

                                -

                                What will you do?

                                +

                                Requirements

                                +
                                +

                                What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                +

                                · Undergraduate degree or technical certificate in Computer Science, Computer Engineering or related field

                                +

                                · Five (5) or more years relevant experience from a business administration, statistical, mathematical, scientific or financial background

                                +

                                · Proficient Knowledge in data management tools such as SQL Server, SSIS

                                +

                                · Experience in data modeling and knowledge in data warehousing methodologies

                                +

                                · Adept in SQL / T-SQL, and performance tuning

                                +

                                · Extensive ETL experience

                                +

                                · Experience in cloud computing (Azure) and Big Data would be an asset

                                +

                                · Advanced analytical and problem-solving skills

                                +

                                · In-depth knowledge of competitor and market trends

                                +

                                · Proficient to analyze, organize and prioritize work while meeting multiple deadlines

                                +

                                · Strong ability to work collaboratively and independently, communicate effectively (both speaking and writing), follow instructions/direction, and help building relationships across teams and functions

                                +

                                · Act as a brand champion for our business area / function and TD, both internally and externally

                                +
                                +

                                +

                                Hours

                                +
                                37.5
                                +

                                +

                                Inclusiveness

                                +

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                +

                                +
                                ",,https://jobs.td.com/en-CA/jobs/16986711/sr-data-engineer-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2022-11-17T17:29:03.786Z,False,0,0,0,https://talenthub.vectorinstitute.ai/jobs/167454774-sr-data-engineer-at-td-bank-group,https://jobs.td.com/en-CA/jobs/16986711/sr-data-engineer-toronto-ca/,expired,2022-11-15T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +7781bb6c-8ac7-4118-93cd-63bc266d2c83,164063556,BMO Financial Group,Model Ops & Data Engineer,on_site,"Toronto, ON, Canada",2022-11-07T17:12:03.294Z,"
                                +

                                Address:

                                100 King Street West

                                +

                                +

                                Job Family Group:

                                Data Analytics & Reporting

                                +

                                +

                                +

                                +

                                Who We Are:

                                +

                                BMO’s North American Commercial Banking serves clients across North America and commercial bankers are trusted advisors and partners to their clients, delivering sector and industry expertise, local presence and a full suite of commercial products and services.

                                +

                                +

                                BMO North American Commercial Bank is looking to build out a data engineering and model ops team.

                                +

                                +

                                What You’ll Do

                                +

                                You\'ll consult with data scientists, the data and analytics teams, technology partners, business partners to create pipelines, governance and solutions that impact a variety of model ops, data and insight challenges across the North American Commercial Bank. You’ll wrap model ops and analytics in clean, repeatable, and automated processes. You’ll play a critical role in elevating business stakeholders’ confidence in our data. More specifically you will:

                                  -
                                • Apply best in breed data science including descriptive, predictive and machine learning techniques from the design to implementation that impacts the business.

                                • -
                                • Focus on Feature Engineering, Model Training and Model Evaluation in addition to data munging / wrangling

                                • -
                                • Identify the right algorithms and statistical techniques for a specific project as well as the best features for a model. Advise junior members on the same.

                                • -
                                • Make business recommendations with effective presentations of findings at multiple levels of stakeholders

                                • -
                                • An active contributing member to the analytics community to help foster and grow the data science community at Sun Life

                                • -
                                • Champion and support diversity and inclusion

                                • +
                                • Locate data sources and demystify data contents
                                • +
                                • Become the expert on the data sourced and used in the ML operations
                                • +
                                • Establish robust pipelines for data used in the execution of ML and Analytics programs
                                • +
                                • Ensure production behavioral scores and business metrics values align with expectations
                                • +
                                • Identify and explain deviations in metrics proactively. Set in motion paths for resolution
                                • +
                                • Clarify key business metrics. Code and implement these metrics at scale
                                • +
                                • Prepare modeling master data sets in collaboration with data scientists
                                • +
                                • Create insights and visualizations which answer high impact business questions
                                • +
                                • Prepare model validation documentation

                                -

                                What will you need to succeed?

                                +

                                Qualifications

                                  -
                                • BSc/M.S. in a statistical, mathematical, or technical field (i.e., computer science) or equivalent experience

                                • -
                                • 1+ year experience in developing and implementing data science techniques (predictive, prescriptive, ML etc.)

                                • -
                                • Comfortable writing complex SQL queries to extract and integrate data from multiple database sources

                                • -
                                • Proficient in using one or more statistical programming languages (i.e., Python) for data science

                                • -
                                • Experience with AWS services including SageMaker is required for some roles

                                • -
                                • Experience with machine learning including supervised and unsupervised models

                                • -
                                • Demonstrated experience in data transformation & data manipulation

                                • -
                                • Experience working with Structured vs. Unstructured data

                                • -
                                • Experience with Big Data Technologies: Hadoop, HDFS, Hive, HBase, Spark is strongly desirable

                                • -
                                • Effective and concise oral and written storytelling and insights communication skills

                                • -
                                • Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities

                                • -
                                • Ability to document work and effectively prioritize documentation

                                • -
                                • Bilingualism (French, English) required for Quebec only - interactions with English-speaking customers or partners

                                • +
                                • Consultative approach engaging internal partners (e.g. data science, business, technology) desired
                                • +
                                • Experience impacting business transformation with data
                                • +
                                • Proven experience building data pipelines in production for advanced analytics use cases
                                • +
                                • Practical knowledge of software engineering concepts and best practices, inc. DevOps, DataOps, and MLOps
                                • +
                                • Proven ability to write clean, maintainable, scalable, and production ready code
                                • +
                                • Practical knowledge of software engineering concepts and best practices, inc. DevOps, DataOps, and MLOps
                                • +
                                • Strong proficiency with SQL and its variations among different databases
                                • +
                                • Skilled at optimizing large and complicated SQL statements
                                • +
                                • 2+ years production development experience
                                • +
                                • 3+ years of relevant work experience as a Data Operations Engineer
                                • +
                                • 3+ years of hands on experience in building production ETL/ELT solutions for large scale data pipelines
                                • +
                                • Familiarity with distributed computing frameworks (e.g. Spark, Dask), and analytics libraries (e.g. pandas, NumPy, matplotlib)
                                • +
                                • Familiarity with cloud platforms (e.g. AWS, Azure, GCP)
                                • +
                                • Degree in computer science, engineering, mathematics, or equivalent work experience
                                +

                                +

                                +

                                We’re here to help

                                -

                                What will be nice to have?

                                -
                                • Past experience in life insurance/wealth management, or other financial services industry (e.g., retail banking, credit card, property and casualty insurance)

                                +

                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                -

                                Unique Requirements

                                -

                                The candidate selected for this role is required to have special clearance from the Royal Canadian Mounted Police. To see if you are eligible for this clearance, please review the information on Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                -

                                -

                                What\'s in it for you?

                                +

                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                +

                                +

                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                +

                                +

                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                +

                                +

                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                +
                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Model-Ops---Data-Engineer_R220029828?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://bmocareers.com/,,,2022-11-17T17:17:03.728Z,False,0,1,12,https://talenthub.vectorinstitute.ai/jobs/164063556-model-ops-data-engineer-at-bmo-financial-group,,expired,2022-11-07T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Masters Degree,New Posting, +d3cdb0c0-450c-459a-8177-1edc07624849,164063747,Thomson Reuters,Senior Data Engineer – News Technology,on_site,"Toronto, ON, Canada",2022-11-07T17:19:03.476Z,"
                                +

                                Sr. Data Engineer, News Technology

                                +

                                The Reuters News technology team supports Reuters’ journalists throughout the News production lifecycle - from discovery of newsworthy events to researching the story to publication, and all that at the speed of light in an increasingly competitive landscape. We are working to improve Reuters editorial news production and automation, and we are seeking an experienced and motivated engineer in Toronto, to help deliver this game-changing platform. Do you want to learn what drives news, and learn about the depth and breadth of Thomson Reuters\' content? Come join us!

                                +

                                About the Role

                                +

                                As a Sr. Data Engineer joining our team, you will be responsible to:

                                  -
                                • Remote/ Hybrid Work environment

                                • -
                                • Competitive salary and bonus structure influenced by market range data

                                • -
                                • 15 days vacation per year and an innovative sabbatical program

                                • -
                                • A friendly, collaborative and inclusive culture

                                • -
                                • Being part of our Analytics community, where we share best practices and broaden skill-sets

                                • -
                                • Flexible Benefits from the day you join to meet the needs of you and your family

                                • -
                                • Pension, stock and savings programs to help build and enhance your future financial security

                                • -
                                • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle

                                • +
                                • +Design and Develop data warehousing functionality including the use and management of Snowflake data warehouse, pipelines and monitoring, in partnership with Data Analysts and Architects.
                                • +
                                • +Design and Develop migration of data warehouses and reports from SQL Server ecosystem to Snowflake and PowerBI.
                                • +
                                • +Innovate with new approaches to meeting data management requirements for Reuters Data Platform. Make recommendations about platform adoption, including technology integrations, application servers, libraries, and frameworks.
                                • +
                                • +Partner across the company with analytics teams, engineering managers, architecture teams and data scientists to design and agree on solutions that meet business requirements.
                                • +
                                • +Effectively communicate and liaise with other data management teams embedded across the organization and data consumers in data science and business analytic groups.
                                • +
                                +

                                About You

                                +

                                You’re a fit for the role of Sr. Data Engineer if your background includes:

                                +
                                  +
                                • Minimum bachelor’s degree in computer science and engineering or related field of study, or equivalent experience
                                • +
                                • 5+ yrs in database/data warehousing/ETL/BI software stack development.
                                • +
                                • In-depth experience with:
                                  - Data warehousing, analysis and reporting technologies like SQL Server Analysis Services, Reporting Services, Tableau, Power BI, Qlik.
                                  - ETL looks like AWS Glue, integrate.io, Talend, SQL Server Integration Services
                                  - Relational databases (SQL Server, PostgreSQL, Oracle)
                                • +
                                +


                                Desired:

                                +
                                  +
                                • Hands-on experience working with AWS ecosystem
                                • +
                                • Hands-on experience with modern data warehouses like Snowflake, Redshift, Google BigQuery.
                                • +
                                +

                                What’s in it For You?

                                +
                                  +
                                • +COVID-19 Response: Currently, as part of our COVID-19 a majority of our employees are working remotely and following local COVID-19 bylaws and guidelines, with the majority of our offices planning to embrace a hybrid work environment consisting of in-office and remote work in 2022.
                                • +
                                • +Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more
                                • +
                                • +Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: work form anywhere (in country); caregiver paid time off, bereavement leave; company-wide Mental Health Day Off; Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing
                                • +
                                • +Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking
                                • +
                                • +Social Impact: Eight employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact
                                • +
                                • +Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

                                +

                                #LI-SS2

                                -

                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                +

                                Canada COVID-19 Vaccination Requirement

                                -

                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                +

                                Individuals employed in this position are required to be fully vaccinated against COVID-19 and must complete an attestation to that effect in their first week as a condition of hire. Thomson Reuters will provide reasonable accommodation to individuals who cannot be vaccinated due to disability or any other ground protected by the applicable human rights legislation.

                                -

                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                +

                                Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services – Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

                                +

                                We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

                                -

                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                +

                                Accessibility

                                -

                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                +

                                As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

                                -

                                Salary Range:

                                58,700/58 700 - 93,900/93 900

                                -

                                Job Category:

                                Advanced Analytics

                                -

                                Posting End Date:

                                12/03/2023
                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Data-Scientist_JR00075554?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-03-13T17:46:03.517Z,False,0,16,44,https://talenthub.vectorinstitute.ai/jobs/202115579-data-scientist-at-sun-life-financial,,expired,2023-03-06T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +

                                We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

                                +

                                +

                                Protect yourself from fraudulent job postings click here to know more.

                                +

                                +

                                More information about Thomson Reuters can be found on https://thomsonreuters.com.

                                +
                                ",,https://thomsonreuters.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/CAN-TORONTO-333-Bay-Street/Senior-Data-Engineer---News-Technology_JREQ159796?SourceID-APPLICANT_SOURCE-3-713,info@thomsonreuters.com,https://www.thomsonreuters.com/en/careers.html,,,2022-11-15T17:24:02.537Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/164063747-senior-data-engineer-news-technology-at-thomson-reuters,,expired,2022-11-07T17:19:00.000Z,import-xml-feed:Thomson-Reuters-Job,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Mid-Senior Level,Masters Degree,New Posting, +20526af9-1b48-49b6-a4e3-103a622aa558,156497853,TELUS,Senior Data Scientist - C360 Insights Team,on_site,"Ontario, Canada",2022-10-13T17:28:13.951Z,"
                                +
                                +

                                Description

                                +
                                +

                                +

                                Join our team

                                +

                                +

                                The C360 Insights Team is part of the Campaign Management & Data Science group that supports one to one Marketing Campaigns for TELUS’ Mobility Customers. Our team is responsible for providing advanced analytics solutions to inform marketing campaigns that help deliver best in class customer experiences and business results for the organization. We develop machine learning and AI solutions leveraging the latest technology and Big Data assets that TELUS maintains.

                                +

                                +

                                We are a team of highly skilled and experienced data analytics professionals with diverse industry experience who collaborate to create value for our customers, organization and team.

                                +

                                +

                                Always wanted to work in a high performance team that strives to continuously grow and be part of a culture that embraces creativity, collaboration, diversity and a whole lot of fun? If so, we’d love to talk with you!

                                +

                                +

                                Here’s the impact you’ll make and what we’ll accomplish together

                                +

                                +

                                As a Data Scientist, reporting to the Manager C360 Insights Team, you will play a pivotal role in enabling TELUS’ Marketing teams to achieve their business goals including revenue, EBITDA, churn, customer experience by developing advanced analytics solutions that support marketing strategy and campaigns.

                                +

                                +

                                As TELUS evolves its AI capabilities including Next Best Action engines, Customer Journey analytics solutions and transition to Cloud platforms you will be a key contributor and user of these capabilities.

                                +

                                +

                                You will work with a talented team of Data Scientists as well as analytics and marketing professionals to build advanced analytics solutions and derive business value from them.

                                +

                                +

                                Here\'s how

                                +

                                +
                                  +
                                • Contribute to the development of teams’ deliverables like Next Best Action engines, Propensity Models, Natural Language Processing models, Near Real time Triggers, Customer Journey Analytics, Data Dashboards that inform marketing strategy and campaigns leveraging PySPARK, Python, SQL, etc
                                • +
                                • Own the end-to-end analysis including pre-analysis, trigger detection, predictive modeling and post campaign analysis
                                • +
                                • Present customer insights to cross-functional business partners including Marketing, Channel, Products & Services, Customer Experience and Digital
                                • +
                                • Support the transition of TELUS’ data assets and analytics machine learning solutions to Google Cloud Platform ensuring data security and privacy compliance
                                • +
                                • Maintain solid and updated knowledge in the domain of AI/ machine learning to continuously evolve TELUS’s AI assets while collaborating with and adding value to your fellow data science community
                                • +
                                • Work collaboratively with business partners teams to understand, compartmentalize complex and ambiguous business issues into crisp and manageable pieces
                                • +
                                +

                                +

                                +
                                +
                                +
                                +

                                Qualifications

                                +
                                +

                                +

                                Must haves

                                +

                                +
                                  +
                                • Technical Expertise
                                    +
                                  • Extensive Hands-on and industry experience in Python, SPARK, SQL and other data query language on UNIX / PC and comfortable working with very large data sets and databases
                                  • +
                                  • Extensive Hands-on experience with a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
                                  • +
                                  • Knowledge of advanced statistical and data mining techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with business applications
                                  • +
                                  • Experience with Data Visualization tools like Domo/Tableau
                                  • +
                                  • Strong Quantitative, analytical and problem solving skills
                                  • +
                                  • 8+ years of progressive and relevant work experience
                                  • +
                                  +
                                • +
                                • Business Orientation
                                    +
                                  • Good business acumen, relationship management and influencing without authority skills
                                  • +
                                  • Ability to provide actionable recommendations based on data analysis
                                  • +
                                  • Strong Ability to prioritize tasks from multiple stakeholders and meet deadlines with quality deliverables
                                  • +
                                  • Strong written, oral, communications, presentation skills and knowledge of Microsoft office/Google suite
                                  • +
                                  +
                                • +
                                • Education
                                  • Masters/PhD degree in Computer Science Engineering/ Programming/ Statistics/Analytics
                                  +
                                • +
                                +

                                +

                                Great-to-haves

                                +

                                +
                                  +
                                • Telecom industry experience
                                • +
                                • Working experience with Google Cloud Platform
                                • +
                                +

                                +

                                Above all else we are seeking an enthusiastic ‘let’s do it’ attitude, motivation and a willingness to learn and collaborate. Please consider transferable skills, which will make you successful in this role and apply!

                                +

                                +

                                +
                                +
                                +
                                ",,https://careers.telus.com/job/Toronto-%E2%80%8BSenior-Data-Scientist-C360-Insights-Team-ON/562150417/,feed-importer@jobboard.io,,,,2022-11-16T14:08:47.623Z,False,0,5,19,https://talenthub.vectorinstitute.ai/jobs/156497853-senior-data-scientist-c360-insights-team-at-telus,,expired,2022-10-13T17:28:00.000Z,import-xml-feed:Gursahaj-Selenium-Ma,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,PhD,New Posting, 7e2161b7-d2cf-4f5e-9a69-f1b38286f867,156497810,Omers,Senior Data Analyst (PowerBI),on_site,"Ontario, Canada",2022-10-13T17:28:07.182Z,"
                                OMERS Products and Technology is looking for Data Analyst passionate about all sides of data analytics and eager to build a data visualizations for our pension Data Engineering team. The individual should be extremely motivated and want to constantly learn and apply new technologies. In this role, the qualified candidate is expected to drive actionable insights.

                                As a member of this team, you will be responsible for:

                                @@ -341660,405 +349426,97 @@ ac9d9ae3-245a-4392-bc8d-e86954adabac,212879102,RBC,Lead Ecosystem Data Analytics

                                Join our Talent Community

                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                ",,https://jobs.rbc.com/ca/en/job/R-0000054180/Lead-Ecosystem-Data-Analytics-Engineer,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-04-13T17:21:07.033Z,False,0,3,7,https://talenthub.vectorinstitute.ai/jobs/212879102-lead-ecosystem-data-analytics-engineer-at-rbc,,expired,2023-04-06T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -d6a15c31-eead-4b95-ab7d-fb8ef232f972,222295545,BenchSci,Senior Machine Learning Engineer - Computer Vision (Remote),full,"Toronto, Ontario Remote",2023-05-04T17:39:05.921Z,"
                                We are looking for a Machine Learning Engineer - Computer Vision to join our growing ML team. You will work on challenging computer vision problems to have an impact on the 31,000+ life scientists across the world who rely on BenchSci for their research. Reporting to the Engineering Manager, ML, you'll apply your domain expertise to select, train and deploy the best-suited machine learning algorithms, collaborate and experiment with scientists, and apply techniques to build solutions to shape the future of scientific discovery. You will have plenty of room for technical innovation and greenfield to explore and propose computer vision solutions to a complex area.
                                -

                                You will:

                                -
                                    -
                                  • Improve the performance and scalability of ML models and pipelines that are at the core of BenchSci's products
                                  • -
                                  • Work on different stages of the problem from prototyping to production
                                  • -
                                  • Contribute to key components across the machine learning ecosystem defining BenchSci's ML Technical Roadmap
                                  • -
                                  • Investigate what technologies that will best enable BenchSci to identify experimental insights through proof-of-concepts
                                  • -
                                  • Work with diverse teams to correctly capture the nuances of biology, translating them into ML objectives
                                  • -
                                  • Advocate for code and engineering process improvements across your team, and help define best practices
                                  • -
                                  • Participate in sprint planning, estimations, and reviews
                                  • -
                                  • Work with teammates to ensure high-quality deliverables
                                  • -
                                -
                                -

                                You have:

                                -
                                    -
                                  • 3+ years of experience working as a professional developer, with at least 2 years of this focused on machine learning and computer vision
                                  • -
                                  • A Bachelor's or Master's degree in Computer Science, Mathematics, or other related disciplines
                                  • -
                                  • Excellent software engineering skills in Python
                                  • -
                                  • Comprehensive knowledge in the end-to-end machine learning lifecycle, including the nuances of the infrastructure and operationsExperience with ML and/or Computer Vision fundamentals
                                  • -
                                  • Experience productionizing ML models Experience with PyTorch, TensorFlow, Scikit-learn, and image processing libraries such as OpenCV and Scikit-image
                                  • -
                                  • Experience with distributed and cloud-based data processing frameworks such as Apache Spark or Apache Beam
                                  • -
                                  • A constant desire to develop
                                  • -
                                  • A team player who strives to see teammates succeed together
                                  • -
                                -
                                -

                                -

                                -
                                Benefits and Perks:
                                -
                                An engaging remote-first culture
                                -
                                A great compensation package that includes BenchSci equity options
                                -
                                15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
                                -
                                Unlimited flex time for sick days, personal days, religious holidays
                                -
                                Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
                                -
                                A $2000 CAD* Annual Learning & Development budget
                                -
                                A $1000 CAD* home office set-up budget
                                -
                                A $2500 CAD*wellness, lifestyle and productivity spending account for employees
                                -
                                Generous parental leave benefits with a top-up plan or paid time off options
                                -
                                *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.
                                -

                                -
                                About BenchSci:
                                -
                                BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                                -
                                Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                                -

                                -
                                Our Culture:
                                -
                                BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                                -
                                We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                                -
                                You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
                                -

                                -
                                -Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
                                -

                                -
                                -Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
                                -

                                -
                                #LI-Remote
                                -
                                ",,https://jobs.lever.co/benchsci/eb96b026-f9d6-4e6a-801f-0c618f2845c8?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-06-03T19:41:00.000Z,False,0,10,67,https://talenthub.vectorinstitute.ai/jobs/222295545-senior-machine-learning-engineer-computer-vision-remote-at-benchsci,https://jobs.lever.co/benchsci/eb96b026-f9d6-4e6a-801f-0c618f2845c8,expired,2023-05-04T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,New Posting, -68fb1d9b-17fc-4bcf-840c-c87e8b79ba1a,222295547,BenchSci,"Engineering Manager, Machine Learning - Natural Language Processing (Remote)",full,"Toronto, Ontario Remote",2023-05-04T17:39:05.951Z,"
                                We are looking for an Engineering Manager, Natural Language Processing to join our growing Machine Learning team and will report to the Director of Engineering, Machine Learning. You will lead a team that works on challenging problems to have an impact on the 41,000+ scientists across the world who rely on BenchSci for their research. As an Engineering Manager, NLP and Deep Learning, you will manage planning and prioritization of upcoming work, coordinate multiple engineering teams, and coach team members. You will work closely with tech leads and scientists to evaluate priorities, spot potential problems before they occur, and support the team's technical roadmap with planned engineering investments. Our ideal candidate is flexible, supportive and knows when to step in and work hands-on with their team and when to lean out and direct.
                                -

                                You will:

                                -
                                    -
                                  • Execution: Own and drive execution of product and technical roadmaps. You will maintain and oversee the quality and output for everything your team provides
                                  • -
                                  • Management: Take a leadership role in our hiring and onboarding processes. You will mentor your team, guide their growth, and manage performance with fair, inclusive, and equitable practices
                                  • -
                                  • Technical: Work with technical leads and engineers to provide guidance on technical solutions, backup plans, trade-offs, and design. You will ensure your experienced team provides quality, ensuring they feel a culture of risk-taking, and can experiment to find the best solutions. You will work hands on when needed to support your team's delivery goals.
                                  • -
                                  • Processes: Work with Science, Web Apps, and Data Teams to define and improve processes across the company with growth in mind
                                  • -
                                -
                                -

                                You have:

                                -
                                    -
                                  • 4+ years working as a professional developer
                                  • -
                                  • 2+ years working as an engineering team manager
                                  • -
                                  • Experience hiring and building motivated engineering teams
                                  • -
                                  • Strong experience with Python and programming fundamentals
                                  • -
                                  • Extensive experience working with NLP (including NER) and PyTorch
                                  • -
                                  • Experience with data engineering and machine learning design patterns and best practices
                                  • -
                                  • Experience shipping machine learning into distributed, data-intensive production systems
                                  • -
                                  • Strong experience collaborating cross-functionally
                                  • -
                                  • Worked on projects that have gone from proof-of-concept through multiple maintenance stages
                                  • -
                                -
                                -

                                -

                                -
                                Benefits and Perks:
                                -
                                An engaging remote-first culture
                                -
                                A great compensation package that includes BenchSci equity options
                                -
                                15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
                                -
                                Unlimited flex time for sick days, personal days, religious holidays
                                -
                                Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
                                -
                                A $2000 CAD* Annual Learning & Development budget
                                -
                                A $1000 CAD* home office set-up budget
                                -
                                A $2500 CAD*wellness, lifestyle and productivity spending account for employees
                                -
                                Generous parental leave benefits with a top-up plan or paid time off options
                                -
                                *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.
                                -

                                -
                                About BenchSci:
                                -
                                BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                                -
                                Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                                -

                                -
                                Our Culture:
                                -
                                BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                                -
                                We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                                -
                                You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
                                -

                                -
                                -Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
                                -

                                -
                                -Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
                                -

                                -
                                #LI-Remote
                                -
                                ",,https://jobs.lever.co/benchsci/c0c43041-28ab-4f31-a7b6-57d65f8419ff?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-06-03T19:43:41.364Z,False,0,5,45,https://talenthub.vectorinstitute.ai/jobs/222295547-engineering-manager-machine-learning-natural-language-processing-remote-at-benchsci,https://jobs.lever.co/benchsci/c0c43041-28ab-4f31-a7b6-57d65f8419ff,expired,2023-05-04T17:39:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Mid-Senior Level,No Degree,New Posting, -a9d50065-17b0-4268-8af3-b191bf18fef3,232858626,TELUS,Senior Data Scientist,on_site,"Ontario, Canada",2023-06-05T16:15:04.051Z,"
                                -
                                -

                                Description

                                -
                                -

                                -

                                Join our team

                                -

                                -

                                The Data Strategy & Enablement team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high-quality data, and a data-product-oriented culture while always keeping an eye on the horizon, preparing for the next big thing.

                                -

                                -

                                We are entrepreneurial and live by our AI Manifesto of failing fast and being outcome vs technology-driven, creating value for our customers, team members, communities, and the environment. The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web visualizations, we do it all!

                                -

                                -

                                Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!

                                -

                                -

                                Here’s the impact you’ll make and what we’ll accomplish together

                                -

                                -

                                You’ll be a part of the team and journey that will transform the way we do business across various domains. You’ll collaborate with teams across the company, seeking out various data sources to help identify new business opportunities while championing data-driven decision-making and the accelerated adoption of AI.

                                -

                                -

                                As a Data Scientist on the team, you will combine your expert knowledge of data science with your strong software development skills to automate and facilitate data exploration, analytics, machine learning model development, training and deployment and will leverage your experience in building reusable algorithms, functions and libraries.

                                -

                                -

                                Here\'s how

                                -

                                -
                                  -
                                • Lead the iterative development, validation, and deployment of AI/ML models
                                • -
                                • Collaborate on end-to-end automation efforts required to bring models to production
                                • -
                                • Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
                                • -
                                • Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
                                • -
                                • Influence how we approach business challenges and opportunities by driving the adoption of a data-driven mindset
                                • -
                                • Develop re-usable code aimed at delivering on future goals faster and more reliably
                                • -
                                • Support and evolve the Advanced Analytics and Data Science roadmap by leveraging industry research, best practices and emerging tools/technology
                                • -
                                • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
                                • -
                                -

                                -

                                -
                                -
                                -
                                -

                                Qualifications

                                -
                                -

                                -

                                You\'re the missing piece of the puzzle

                                -

                                -
                                  -
                                • You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
                                • -
                                • You are sought out for your skills in Machine Learning and AI, including regression, classification, clustering, time series analysis, NLP, and optimization and bring 2-4 years of hands-on work and practical business experience in the above areas
                                • -
                                • You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences
                                • -
                                • You have solid development experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras and have applied these skills towards solving actual business matters
                                • -
                                • You are comfortable in and with a Jupyter environment and infrastructure, and familiar with GitHub
                                • -
                                • You possess advanced knowledge in SQL and distributed computing
                                • -
                                • You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
                                • -
                                • You are well versed in software and AI development lifecycles, including ML Ops
                                • -
                                • You are agile and have a bias for action, removing roadblocks to get results fast
                                • -
                                -

                                -

                                Great-to-haves

                                -

                                -
                                  -
                                • Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, Engineering, or Data Science
                                • -
                                • Experience with agile methodology and work in a start-up environment
                                • -
                                • GCP or other cloud certifications
                                • -
                                -

                                #LI-REMOTE

                                -

                                -

                                -
                                +79b59946-7b28-406a-a8bb-5c5d0a379d21,228136490,TD Bank Group,Operations Modernization Analyst Intern/ Co-op,on_site,"Ottawa, ON",2023-05-22T15:53:02.965Z,"
                                +

                                Company Overview

                                +
                                +

                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                                +

                                Why TD?

                                +

                                TD’s Colleague Promise: A better you. A better us.

                                +

                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                -
                                ",,https://careers.telus.com/job/Toronto-Senior-Data-Scientist-ON/569738117/,feed-importer@jobboard.io,,,,2023-06-16T02:23:02.313Z,False,0,9,52,https://talenthub.vectorinstitute.ai/jobs/232858626-senior-data-scientist-at-telus,,expired,2023-06-05T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, -9a7ab3c2-c469-40b7-890d-7c4a3ecb6a1b,232858621,Avidbots,Software Developer - Machine Learning Platform (MLops),on_site,"Ontario, Canada",2023-06-05T16:15:03.435Z,"
                                -

                                About Avidbots:

                                -

                                At Avidbots, we believe in solving real world problems with autonomous cleaning robotic solutions to unlock humanity’s potential. Neo is our current ground-breaking autonomous floor scrubbing robot that enhances facility cleanliness around the world empowering reallocation of human capital to higher priority focuses…and we’re just getting started!

                                Headquartered in Kitchener, ON, Canada, we are an employee-focused organization that has been certified a Great Place to Work® consecutively for the last 4 years and one of Deloitte\'s Fast 500 (2021).

                                -

                                Now is your opportunity to join a fast-growing technology company built on teamwork, innovation, and boundless ambition! Take a look at what Neo can do!

                                -

                                -

                                About the role:

                                -

                                The Machine Learning Platform (MLP) team is responsible for developing systems and tools that enable the development and deployment of machine learning solutions to a large fleet of autonomous robots around the world. This includes supporting all stages of the machine learning lifecycle, from data acquisition and transformation, to deployment and monitoring, and collaborating with other teams on model development and training.

                                -

                                You will join a small team with the opportunity to have a large impact on the technical decisions and development of large-scale machine learning initiatives that will shape the next-generation of commercial robotics.

                                -

                                -

                                How you will make a difference:

                                -
                                  -
                                • Design, develop, and test data transformation pipelines operating on large amounts of structured and unstructured data.
                                • -
                                • Deploy and maintain scalable cloud infrastructure that support machine learning and data engineering workloads.
                                • -
                                • Collaborate with members of various functional teams to scope, explore, prototype, and implement solutions.
                                • -

                                -

                                Required Skills & Experience:

                                -
                                  -
                                • BE / B.Tech or higher degree in Computer Science / Engineering or equivalent
                                • -
                                • 5+ years of professional software development experience (Python, C++ preferred)
                                • -
                                • Experience building large-scale data transformation pipelines with technologies such as Apache Spark, Amazon S3, Dagster, and Airflow
                                • -
                                • Hands-on experience designing scalable infrastructure for machine learning applications
                                • -
                                • Experience with cloud services such as Amazon Web Services, and familiarity with tools such as Docker, Kubernetes, and Terraform
                                • -
                                • Knowledge of best practices in modern software development, such as git
                                • -
                                • Proficiency with Linux-based operating systems
                                • -
                                -

                                -

                                Nice to Have:

                                -
                                  -
                                • Experience with Robot Operating System (ROS)
                                • -
                                • Experience working with a global team
                                • -
                                -

                                -

                                Avidbots is an equal opportunity employer committed to building a diverse workforce. As a multicultural organization, we encourage individual achievement and recognize the strength of a diverse workforce. We offer a professional working environment and culture and believe that work/life balance is critical to ensure the happiness/well-being of our people.

                                -

                                -

                                Upon request, Avidbots will provide reasonable accommodation for applicants with disabilities throughout the recruitment and selection process

                                -

                                -

                                #INDAV

                                -
                                ",,https://avidbots.bamboohr.com/careers/659,feed-importer@jobboard.io,,,,2023-06-16T02:23:02.313Z,False,0,9,49,https://talenthub.vectorinstitute.ai/jobs/232858621-software-developer-machine-learning-platform-mlops-at-avidbots,,expired,2023-06-05T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Mid-Senior Level,Bachelors Degree,New Posting, -e5a233fb-63e2-4ca8-a3fa-c80877c24997,231447031,BMO Financial Group,"Manager Analytics, Business Intelligence - Wealth",on_site,"Ontario, Canada",2023-06-01T15:39:02.561Z,"
                                -

                                Application Deadline:

                                06/13/2023

                                -

                                -

                                Address:

                                100 King Street West

                                -

                                -

                                Job Family Group:

                                Data Analytics & Reporting

                                -

                                -

                                -

                                -

                                We are looking for a talented individual to join our team in the position of Manager Analytics, Business Intelligence. The primary responsibility is to manage data analytics and deliver recommendations that drive data driven insights for the GAM (Global Asset Management) Business.

                                +

                                Department Overview

                                +
                                +

                                Ops Modernization supports the Canadian Personal Banking Operations team through the development, support and analysis of tactical solutions. We collaborate closely with business partners to deliver a legendary experience to the distribution teams and customers. The mandate is to deliver best in class service and advice while operating within the business’ credit risk appetite and regulatory framework.

                                +

                                Co-op and Internship opportunities allow you to gain valuable work experience across several businesses at TD. You will work with experienced colleagues, receive world class training, and be part of a community of students across TD, where you will have an impact, grow as individual and experience our culture of care.

                                +

                                Our Co-op/Intern Programming is offered with select Co-op/ Internship roles and is designed to help you better understand the TD business, build on critical career capabilities, and broaden your professional network. This program is designed to complement your on-the job experience and features:
                                • Leadership talks with key Leaders from across the organization
                                • Lunch & Learns on topics such as Innovation
                                • Diversity and Inclusion and Personal Branding and so much more

                                -

                                The role will sit on the Wealth Data Analytics and Strategy team and support the Global Asset Management Retail Sales and Distribution team with proactive, actionable insights across all Mutual Fund products. The successful candidate will be able to go beyond analytics/reporting to provide actionable insights to senior leadership.

                                +

                                -

                                Key Accountabilities:

                                +

                                Job Description

                                +
                                +

                                You will have the opportunity to work with the Ops Mod PITT Crew (Process Improvement Tools & Transformation) within the CPB Credit Operations group. From Day 1, you will be treated as an equal member of the team and given meaningful assignments to help us deliver improvements across our credit teams.

                                +

                                Job responsibilities may vary by area and may include, but is not limited to the following:

                                +
                                • Supporting the development of business tools, process improvement and tactical business solutions to increase efficiency and reduce risks across the business lines that we support.
                                  -
                                • Take the lead supporting GAM business. Think strategically and work independently with minimal supervision
                                • -
                                • Work with internal clients and diverse stakeholders to understand, track and improve their business objectives, scope and KPIs
                                • -
                                • Produce dashboards, reports, analysis, insights that drive decisions and help us build better products and experiences
                                • -
                                • Manage and enhance daily/weekly/monthly channel reporting to provide results and context to deliver actionable insights to senior management, not just reporting data
                                • -
                                • Improve and automate process using a variety of tools to drive operational efficiency
                                • -
                                • Manage, prioritize, and respond to ad-hoc requests
                                • -
                                • Uncover and identify opportunities to improve the customer experience by leveraging statistical approaches against multiple sources of data including internal sales/transactions and external party data/benchmarks
                                • -
                                • Assist the retail bank branch channel in campaign performance measurement and increasing productivity of all strategic initiatives
                                • -
                                • Research, design and implement reporting infrastructure that leads to automated and flexible reporting
                                • +
                                • Determining operational objectives by studying business functions; gathering information; evaluating output requirements and formats.
                                • +
                                • Designing new computer programs by analyzing requirements; constructing workflow charts and diagrams; studying system capabilities; writing specifications
                                • +
                                • Improving systems by studying current practices, designing modifications
                                • +
                                • Recommending controls by identifying problems, writing improved procedures
                                • +
                                • Defining project requirements by identifying project milestones, phases, and elements; forming project team; establishing project budget
                                • +
                                • Monitoring project progress by tracking activity; resolving problems; publishing progress reports; recommending actions
                                • +
                                • Maintaining system protocols by writing and updating procedures
                                • +
                                • Providing references for users by writing and maintaining user documentation; providing help desk support; training users
                                • +
                                • Maintaining user confidence and protects operations by keeping information confidential
                                • +
                                • Preparing technical reports by collecting, analyzing, and summarizing information and trends
                                • +
                                • Maintaining professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies
                                • +
                                • Contributing to team effort by accomplishing related results as needed
                                +

                                -

                                Qualifications:

                                -
                                  -
                                • 5-7 years of work experience in Business, Financial industry
                                • -
                                • 3+ Proven experience working with SQL language and large datasets
                                • -
                                • Demonstrated proficiency in working with large datasets, both structured and unstructured data, using programming language such as SAS, SQL or related
                                • -
                                • Good verbal and written communication skills; able to effectively present analytics data to business users
                                • -
                                • Good knowledge of Asset Management and understanding of current market trends. Experience in Mutual Funds, ETF and Institutional distribution process
                                • -
                                • Post-Secondary education in Math, Computer Science, Statistics, Actuarial Science, Business
                                • -
                                • One or More Master\'s Degree in Data Analytics, MBA, CFA, CPA preferred but not required
                                • -
                                • Self-Starter - Strong relationship-building skills. Ability to thrive on a high-degree of independence and ownership
                                • -
                                • Proficient in visualization tools such as Tableau or Power BI
                                • -
                                • Experience in running campaigns through design, execution, and performance tracking
                                • -
                                • A strong passion for data, charts, analysis, trends, and evangelizing data usage
                                • -
                                +

                                Requirements

                                +
                                  +
                                • Currently enrolled in an undergraduate degree in Finance, Accounting, Analytics, Data, Business/Commerce or related field with the intent of going back to school at the start of your work term
                                • +
                                • Excellent communication skills, and ability to convey complex information concisely and with clarity
                                • +
                                • Highly developed critical thinking and ability to deliver actionable recommendations in a timely manner
                                • +
                                • Well organized, flexibility to adapt and manage within a fast-paced, dynamic business environment
                                • +
                                • Experience developing or designing tools, data queries or applications.
                                • +
                                • Java, JSON, VBA, SQL Coding knowledge and experience are an asset.
                                • +
                                • Proficiency in Excel, data querying, data processing, and visualization tools.
                                • +
                                • Proficiency in PowerPoint and developing clear and compelling business presentations.
                                • +
                                • Excellent problem-solving skills, with a demonstrated ability to think strategically and synthesize information quickly.
                                • +
                                • Strong analytical and communication skills, with the ability to communicate clearly and concisely (written and verbally) to a broad audience.
                                • +
                                • Ability to independently manage deadlines while multitasking between different projects.
                                • +
                                • High degree of numeracy, including experience with financial modeling/forecasting.
                                • +
                                • Experience working with large and discrete forms of data, and designing analytics with the objective of surfacing insights and providing recommendations.
                                • +
                                • Highly developed presentation and communication skills (verbal and written).
                                • +
                                • Ability to work in a team environment.
                                • +

                                +

                                Additional Information

                                +
                                  +
                                • This position is a 4-month work term and will commence September 5th – December 22nd, 2023
                                • +
                                • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages)
                                • +
                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest
                                • +
                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                • +
                                • You must be enrolled at a college/university program to qualify for this Co-op/Internship opportunity
                                • +

                                -

                                -

                                -

                                We’re here to help

                                -

                                -

                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                -

                                -

                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                -

                                -

                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                -

                                -

                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                -

                                -

                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                -
                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Manager-Analytics--Business-Intelligence---Wealth_R230007335?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-06-16T02:41:00.000Z,False,0,2,8,https://talenthub.vectorinstitute.ai/jobs/231447031-manager-analytics-business-intelligence-wealth-at-bmo-financial-group,,expired,2023-06-01T15:39:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, -a4956530-8e94-4043-865a-62336e18acb5,233912497,BMO Financial Group,"Report Analyst, VBA and Data Visualization software- HYBRID",on_site,"Ontario, Canada",2023-06-08T15:39:07.186Z,"
                                -

                                Application Deadline:

                                06/29/2023

                                +

                                Start Date

                                +
                                – Fall

                                -

                                Address:

                                250 Yonge Street

                                -

                                -

                                Job Family Group:

                                Data Analytics & Reporting

                                -

                                -

                                This is a critical role n supporting our business partners with reporting, analytical and production activity support. This role supports our primary partners within TORIC (Technology and Operations Risk and Internal Controls) division as well as Technology and Operations (T&O) and BMO Nesbitt Burns branch network. It also provides critical support with Power BI reporting, Authority Process Support, GEMS BAU as well as the opportunity to lead on training reporting and other initiatives. You will be supporting the development of BMO\'s CO-OP students and BMO Interns and provides the candidate the opportunity to gain leadership skills, strong organizational skills and building of partner relationships.

                                +

                                Inclusiveness

                                +

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                -

                                Key Priorities/duties:

                                -
                                  -
                                • Governance, Risk and Compliance Dashboard support using Power BI

                                • -
                                • Support of various Authorization Lists for T&O & BMO Nesbitt Burns branch network using Power Apps, PDF Forms and SharePoint or other like programs

                                • -
                                -

                                -

                                This is a HYBRID role based in the Greater Toronto area.

                                -

                                -

                                -

                                Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                -
                                  -
                                • Builds effective relationships with internal/external stakeholders.
                                • -
                                • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                                • -
                                • Designs, develops, and implements innovative analytical solutions.
                                • -
                                • Designs and produces regular and ad-hoc reports, and dashboards.
                                • -
                                • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                                • -
                                • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                                • -
                                • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                                • -
                                • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                                • -
                                • Designs, develops, and implements innovative analytical solutions.
                                • -
                                • Designs and produces regular and ad-hoc reports, and dashboards.
                                • -
                                • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                                • -
                                • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                • -
                                • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                                • -
                                • Analyzes data and information to provide subject-matter insights and recommendations.
                                • -
                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                • -
                                • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                                • -
                                • Builds effective relationships with internal/external stakeholders.
                                • -
                                • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                • -
                                • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                • -
                                • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                • -
                                • Works independently on a range of complex tasks, which may include unique situations.
                                • -
                                • Broader work or accountabilities may be assigned as needed.
                                • +
                                ",,https://jobs.td.com/en-CA/jobs/18306698/operations-modernization-analyst-intern-co-op-ottawa-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-06-01T15:58:02.233Z,False,0,3,20,https://talenthub.vectorinstitute.ai/jobs/228136490-operations-modernization-analyst-intern-co-op-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18306698/operations-modernization-analyst-intern-co-op-ottawa-ca/,expired,2023-05-22T15:53:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +a9d5ccbe-6f53-4ec5-88f0-1a1c0ca90958,226183734,Scotiabank,"Vice President, Data and Analytics Technology",on_site,Canada : Ontario : Toronto,2023-05-16T15:52:05.544Z,"

                                +

                                +

                                +

                                Requisition ID: 178107

                                We are committed to investing in our employees and helping you continue your career at Scotiabank.

                                +

                                +

                                +

                                + +

                                Purpose

                                The Vice President, Data and Analytics Technology will be responsible for the delivery of data and analytics solutions globally, leading the direction and strategic alignment of reusable data and analytics at scale, and ensuring business strategies, plans, and initiatives are supported in compliance with governing regulations, internal policies, and procedures.

                                Accountabilities

                                • Define and provide strategic guidance to Scotiabank’s technology and architecture supporting analytics.
                                • Define and provide strategic guidance to Scotiabank’s technology and architecture supporting enterprise data platforms.
                                • Develop and deliver data and analytics technology solutions globally, leveraging innovative and sustainable solutions.
                                • Be a trusted advisor and key strategic influencer directly supporting Customer Insights Data & Analytics.
                                • Enable advanced analytics, AI / machine learning, enterprise wide, to maximize business results.
                                • Prioritize, develop, scale, and manage technology supporting enterprise data and analytics.
                                • Influence key stakeholders within the data and analytics space, as well technology.
                                • Have deep knowledge of key technologies supporting the Bank’s strategy, including but not limited to data and analytics.
                                • Understand how the Bank’s systems work and how enhancements can create operational efficiencies.
                                • Enable a culture that promotes critical thinking, change leadership, and sharing best practices.
                                • Lead and drive a customer-focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
                                • Direct day-to-day activities in a manner consistent with the Bank’s risk culture and the relevant risk appetite statement and limits; communicate the Bank’s risk culture and risk appetite statement throughout their teams.
                                • Create an environment in which his/her team pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                • Build a high-performance environment and implement a people strategy that attracts, retains, develops, and motivates their team.
                                • Foster an inclusive work environment; communicate vison/values/business strategy; manage succession and development planning for the team.

                                Education / Experience

                                +
                                • Bachelors or higher degree in Computer Science, Engineering, Mathematics, Analytics, Finance and/or Artificial Intelligence.
                                • Minimum 10 years of demonstrated experience leading technology delivery, preferably in Financial Services.
                                • Experience working with Big Data, NoSQL, Hadoop, Hive, Kafka, Docker, Kubernetes, Public Cloud (Azure/GCP), or others; AI and machine learning preferred.
                                • Experience integrating business and technology teams.
                                -

                                -

                                SKILLS and Qualifications:

                                -
                                  -
                                • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                • -
                                • MUST HAVE VBA (At least 3 years desired)
                                • -
                                • MUST HAVE experience with Power BI, Spotfire, or Tableau ( At least 1-2 years desired)
                                • -
                                • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Very good.
                                • -
                                • Technical proficiency gained through education and/or business experience.
                                • -
                                • Verbal & written communication skills - In-depth.
                                • -
                                • Collaboration & team skills - In-depth.
                                • -
                                • Analytical and problem solving skills - In-depth.
                                • -
                                • Influence skills - In-depth.
                                • -
                                • Data driven decision making - In-depth.
                                • +

                                  +

                                  The Vice President, Data and Analytics Technology will exercise strategic influence over the Bank’s data and analytics design, governance, and associated processes, and requires the following:

                                  +

                                  +
                                  • Expert knowledge of the data and analytics industry, including trends, best practices, and methodologies.
                                  • Strong stakeholder management, ability to influence in a complex matrix environment and build relationships.
                                  • Deep knowledge of advanced analytics, AI, and machine learning; ability to deliver measurable results through data and analytics.
                                  • Strong ability to balance competing or conflicting goals of various departments / countries / stakeholders; highly developed negotiation and influencing skills.
                                  • Strong leadership and team building skills to create and sustain highly motivated groups within diverse and multi-functional reporting units.
                                  -

                                  -

                                  -

                                  We’re here to help

                                  -

                                  -

                                  At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                  -

                                  -

                                  As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                  -

                                  -

                                  To find out more visit us at https://jobs.bmo.com/ca/en.

                                  -

                                  -

                                  BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                  -

                                  -

                                  Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                  -
                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Report-Analyst--VBA-and-Data-Visualization-software--HYBRID_R230006641?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-06-16T02:43:00.000Z,False,0,1,16,https://talenthub.vectorinstitute.ai/jobs/233912497-report-analyst-vba-and-data-visualization-software-hybrid-at-bmo-financial-group,,expired,2023-06-08T15:39:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -74c08a73-2913-4225-8605-4af69bc7f0a4,226183733,Scotiabank,"Senior Associate, Research Analytics & Institutional Client Strategy",on_site,Canada : Ontario : Toronto,2023-05-16T15:52:05.118Z,"

                                -

                                -

                                -

                                -

                                Requisition ID: 174805

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                -

                                About the Team:
                                At Scotiabank, research is a key driver of our Global Equity platform. We specialize in the Canadian market, and we also supply targeted international research covering the United States and Latin America. Our top-ranked teams generate value-added equity ideas and themed publications. As well, we are constantly looking for ways to bring new products to market and provide clients with valuable research ideas and insights. Our products include daily company-specific investment views, monthly and quarterly sector updates, in-depth fundamental research reports, portfolio analysis and recommendations, and equity strategy commentary.

                                -

                                Position Highlights:
                                The Research Client Services Team (RCST) is responsible for supporting the Equity Research department by providing valuable internal analytical insights to management and research analysts for strategic decision-making and ensuring adherence to compliance requirements of the MiFID II regulation. As a member of the RCST, this position will assist in maintaining and developing the internal analytics capabilities of the team. This position will also assist with the administration of client research agreements and work closely with research analysts, senior management, and compliance teams as part of the overall MiFID II compliance framework.

                                -

                                Is this role right for you?

                                -
                                • Produce periodical analytical summary reports for the Research Management team
                                • Create analysis and reporting tools on an ad hoc basis to support internal data and analytical requests
                                • Create and maintain dashboards and reports that can be leveraged by users to find insights
                                • Analyze client accounts to identify outreach opportunities and gauge account profitability
                                • Work with Research Analysts to improve the format and delivery of their product
                                • Understand business processes to analyze, interpret, and advise staff on analytical findings
                                • Collaborate with stakeholders to ensure effective use of reporting and analysis, and provide support, if needed
                                • Understand and incorporate technology best practices with a primary focus on .NET and SQL
                                • Liaise with other internal analytics teams to ensure data accuracy and consistency across the firm
                                • Diligently perform quality assurance and assess operational and reputation risk
                                • Monitor and analyze buyside client consumption of the research product
                                • Respond to internal and external inquiries on the research product and agreements
                                • Issue invoices for research clients and track payments with internal Finance teams
                                • -
                                -

                                Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

                                -
                                • Technical mindset with an undergraduate degree in Computer Science or Engineering is required
                                • Excellent command of Microsoft Office, with an emphasis on Excel is required
                                • Proven experience in SQL and .NET is required
                                • Working knowledge of Angular and Python would be an asset
                                • Strong problem-solving and analytical skills
                                • Excellent written and verbal communication skills
                                • Attention to detail and time management skills
                                • Ability to produce meaningful results from data
                                • Proven experience consolidating and analyzing different data sources
                                • Ability to work collaboratively within a cross functional team environment
                                • Ability to succeed in a dynamic and fast-paced environment
                                • -
                                -

                                -

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Senior-Associate%2C-Research-Analytics-&-Institutional-Client-Strategy/568224817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-15T20:13:05.616Z,False,0,4,19,https://talenthub.vectorinstitute.ai/jobs/226183733-senior-associate-research-analytics-institutional-client-strategy-at-scotiabank,https://jobs.scotiabank.com/job/Senior-Associate%2C-Research-Analytics-&-Institutional-Client-Strategy/568224817/,expired,2023-05-16T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -e6c3c2d9-db72-4cf8-ba18-e2046af746d4,226984830,Magna International,IoT Developer - Industry 4.0,on_site,"Brampton, ONTARIO, CA, L6R 0A9",2023-05-18T16:04:02.078Z,"
                                -
                                -

                                Role Summary

                                -
                                -

                                Transform today’s manufacturing by developing standard PLC and equipment programming concepts to support Magna Structures Heart Lake implementing an IoT architecture. The IoT Developer would be responsible for developing software to support digitizing of production lines and implementing streaming machine controls.

                                -

                                **The successful candidate for this role will work at our new Magna Structures Heart Lake facility located in Brampton, ON**

                                -
                                -
                                -
                                -

                                Key Responsibilities

                                -
                                -

                                We are building fully connected systems to achieve operational excellence – help us transform today’s manufacturing by Developing new techniques to connect legacy equipment to modern infrastructure.

                                -
                                • Managing code deployments, fixes, updates and related processes
                                • Support multiple on-going projects in a fast-paced environment
                                • Explain technical concepts and analysis implications clearly to a wide audience and be able to translate business objectives into actionable analysis
                                • Creating IoT applications that run on-premise and in the cloud
                                • Brainstorming for new ideas and ways to improve development and delivery
                                • Developing KPIs, metrics, and other monitoring tools to track I4.0 production environments
                                • Providing detailed specifications for proposed solutions including materials, external services and internal resources required
                                • Working with source control tools (Confluence, GitHub, etc.)
                                • Actively troubleshooting any issues that arise during testing and production
                                • Performing additional duties as assigned
                                • Acting with honesty and integrity, and make ethical business choices in accordance with Magna’s Compliance Policies and Procedures
                                • -
                                -
                                -
                                -
                                -

                                Key Qualifications/Requirements

                                -
                                -


                                KEY QUALIFICATIONS/REQUIREMENTS:

                                -
                                • Degree/Diploma in Computer Science or related field of study
                                • Minimum six plus (6+) years of related experience required
                                • Strong knowledge of Industry 4.0 integration
                                • Proven leader
                                • -
                                -

                                -

                                POSITION REQUIREMENTS:

                                -
                                • Understanding of multiple computer programming languages (ex: JavaScript, C#, Python, C++, Java)
                                • Experience with databases and different types of data storage
                                • Strong experience with relational databases like SQL Server, MySQL and Oracle
                                • In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework
                                • Experience with the MQTT protocol
                                • Time and project management skills, with the capability to prioritize and multitask as needed
                                • Experience with capability studies (such as CPK, Gage R, and Gage R&R)
                                • Knowledge of different project management methodologies such as Waterfall and Agile
                                • Knowledgeable of statistical methods such as regression, probability analysis, risk analysis, statistical process control, and clustering is desired
                                • Strong analytical and problem-solving ability to design an effective solution
                                • Familiarity with BI technologies (ex., Microsoft Power BI, AWS Quicksight, Qlikview) PLC programming background in Siemens and Rockwell controllers among others
                                • Robot programming background (such as Fanuc, ABB, Kuka,etc…)
                                • -
                                -
                                -
                                -
                                -

                                What Heart Lake Offers

                                -
                                • Weekly pay via direct deposit
                                • Overtime after 40 hours worked
                                • Company paid Medical and Dental Benefits and an option for enhanced flexible benefits
                                • Magna will contribute an amount equal to 3% of regular earnings every week to your retirement savings (MBC program)
                                • Profit sharing
                                • Matched GRRSP
                                • Company paid Life Insurance and Accidental Death and Dismemberment (AD&D)
                                • Safety shoe allowance, prescription safety glasses allowance, custom molded earplug allowance
                                • Company paid uniforms
                                • Company BBQ, holiday parties and company events
                                • Corporate Social Responsibility initiatives
                                • Annual Employee Opinion Survey
                                • Magna Service Award Program
                                • Magna Scholarship Program
                                • Group Rogers and Bell cellphone data plan available
                                • Subsidized cafeteria
                                • Educational Assistance Program
                                • Employee Discounts: new vehicles, amusement parks, etc.
                                • You get to work with a FANTASTIC Team at a state-of-the-art Electric Vehicle Battery Enclosure Plant
                                • -
                                -
                                -
                                -

                                Additional Information

                                -

                                Accommodations for disabilities in relation to the job selection process are available upon request.

                                -
                                -
                                -

                                Awareness. Unity. Empowerment.

                                -

                                At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                                -
                                -
                                ",,https://jobs.magna.com/job/IoT-Developer-Industry-4_0/570436117/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-06-18T02:04:48.720Z,False,0,1,30,https://talenthub.vectorinstitute.ai/jobs/226984830-iot-developer-industry-4-0-at-magna-international,https://jobs.magna.com/job/IoT-Developer-Industry-4_0/570436117/,expired,2023-05-18T16:04:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Manufacturing ,Mid-Senior Level,Bachelors Degree,New Posting, +

                                +

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Vice-President%2C-Data-and-Analytics-Technology-ON-M5H1H1/570293917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-29T15:57:04.280Z,False,0,3,11,https://talenthub.vectorinstitute.ai/jobs/226183734-vice-president-data-and-analytics-technology-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Vice-President%2C-Data-and-Analytics-Technology-ON-M5H1H1/570293917/,expired,2023-05-16T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Executive,Bachelors Degree,New Posting, bf502136-2d75-4bdb-a634-a2b71c214b1d,167456282,TELUS,Lead Data Engineer,on_site,"Ontario, Canada",2022-11-15T17:42:01.840Z,"

                                Description

                                @@ -343645,120 +351103,212 @@ d80fa043-ac92-4389-acba-1aabe61b5321,212880719,TD Bank Group,"Manager, Analytics

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                ",,https://jobs.td.com/en-CA/jobs/17971287/manager-analytics-and-insights-valuations-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-17T22:12:00.000Z,False,0,3,11,https://talenthub.vectorinstitute.ai/jobs/212880719-manager-analytics-and-insights-valuations-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17971287/manager-analytics-and-insights-valuations-toronto-ca/,expired,2023-04-06T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, -e291c21a-babd-4d28-b5ae-b2c3502d8742,208693672,Borealis AI,Research Director,on_site,"Ontario, Canada",2023-03-25T17:27:03.186Z,"
                                +9214a514-068a-4aae-8c8c-854a47a024df,207767102,OMERS,Business Intelligence Specialist 6-month Contract,on_site,"Ontario, Canada",2023-03-23T17:42:03.813Z,"
                                +

                                Why join us?

                                +

                                +

                                Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                +

                                +

                                +

                                +

                                +

                                +
                                As a key member of the Enterprise Data and Advanced Analytics team, the role of BI Specialist is instrumental in enhancing data & analytics capabilities by championing industry best practices and delivering high quality reports and training to enhance business decision making. They help translate complex solutions to digestible business-centric outcomes and will do so by building interactive data visualizations using Power BI and sophisticated data models.

                                They will work with business-unit leaders to identify and prioritize problems that analytics is suited to solve and help identify the data (internal or external) needed to produce the most useful insights. In addition to being responsible for end to end solutions that business users can execute on, they also work towards driving adoption among business users. The individual will support and collaborate with data engineers, data scientists and business users and engage in technical support, research and knowledge sharing through the implementation lifecycle of projects and solutions. The ideal candidate is one that strives to evolve through their career and transition into a data scientist role in the near future by taking advantage of the tremendous learning and collaboration opportunity this role provides.
                                +

                                As a member of this team, you will be responsible for:

                                +
                                  +
                                • Designing and building interactive insightful data products using Power BI, ML and Azure
                                • +
                                • Developing and monitoring Azure data pipelines, Power BI Premium Dataflows to gather, transform and democratize structured and unstructured data assets
                                • +
                                • Building professional growth by actively acquiring predictive modelling and programming skills
                                • +
                                • Collaborating with data architects, engineers, and data scientists to carve out solutions that can support ongoing and future analytical capabilities
                                • +
                                • Facilitating workshops with stakeholders to gather requirements and develop low/high fidelity wireframes
                                • +
                                • Contributing to the Power BI Community of Interest/Champions network to review latest features and updates
                                • +
                                • Facilitating collaboration and promoting best practices of building BI and analytical solutions
                                • +
                                • Broadening the reach of Power BI through providing Dashboard in a Day and other Power Platform workshops at Enterprise level
                                • +
                                • Helping instill a product mindset in the team and presenting and communicating analytics centric solutions to stakeholders and the immediate team
                                • +
                                • Operating in an Agile development environment
                                • +
                                • Managing change and communicating impacts to stakeholders and fellow team members
                                • +
                                • Provisioning and resource management of Premium Capacity
                                • +
                                • Leading multiple projects simultaneously and ensuring on-time delivery
                                • +
                                • Usage Monitoring and Auditing
                                • +
                                +

                                +

                                To succeed in this role, you have:

                                +

                                +
                                  +
                                • Bachelor’s degree in information systems, Business Analytics, Data Science, Business, Accounting, Finance, or related discipline with two (2) + years of experience
                                • +
                                • Excellent data visualization skills and experience of developing dashboards using Power BI (DAX and M). Strong ability to communicate quantitative data into a visually engaging story
                                • +
                                • Experience and proficiency in SQL scripting and Azure is a must
                                • +
                                • Experience and proficiency with an additional programming language such as Python is an asset
                                • +
                                • Knowledge or experience of machine learning and data science is a plus
                                • +
                                • Depth of Power BI experience wrangling complex data using M functions and developing sophisticated semantic logic using DAX expressions will be thoroughly tested and is required
                                • +
                                • Breadth of technical experience and knowledge in the MSFT data and analytics ecosystem, with Subject Matter Expertise in Power BI
                                • +
                                • Ability to quickly propose solutions by recalling the latest best practices learned from MVP & Product Team articles, MSFT documentation, whitepapers, and other community publications is required
                                • +
                                • Proven track record of building deep technical relationships. Experience in aligning expectations across various stakeholders
                                • +
                                • Able to trace data lineage and resolve technical issues with minimal supervision
                                • +
                                • Polished written and verbal communication and presentation skills targeted at all levels of the organization
                                • +
                                +

                                +

                                +

                                +

                                +

                                Our story:

                                +

                                Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                +

                                +

                                OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                +
                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Business-Intelligence-Specialist-6-month-Contract_JR-4735-1?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-04-20T17:47:03.580Z,False,0,6,41,https://talenthub.vectorinstitute.ai/jobs/207767102-business-intelligence-specialist-6-month-contract-at-omers,,expired,2023-03-23T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +854cd811-4d6e-40bf-8eb6-a319b492c5a0,210223739,CN,"Analyst, Advance Analytics",on_site,"Ontario, Canada",2023-03-30T17:42:05.608Z,"
                                +

                                +

                                At CN, everyday brings new and exciting challenges. You can expect an interesting environment where you’re part of making sure our business is running optimally and safely―helping keep the economy on track. We provide the kind of paid training and opportunities that long-term careers are built on and we recognize hard workers who strive to make a difference. You will be able to thrive in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                Job Summary

                                The Analyst, Advance Analytics role is responsible for leveraging statistical analysis, Artificial Intelligence (AI) machine learning, and optimization techniques to support the development of the terminal operating model of the future. The incumbent generates and utilizes the resulting data to optimize the operation and support the implementation of the Smart Terminal Program, as well as continuous improvement projects. The position contributes to CN’s Intermodal by mining critical data, using advanced Internet of Things (IoT), state-of-the-art sensors and control electronics, big data infrastructures, advanced analytics, deep learning, and other leading-edge technologies to improve virtually every aspect of the business.

                                Main Responsibilities

                                Continuous Improvement and Process Optimization Stakeholder Engagement and Alignment

                                · Drive continuous improvement by identifying opportunities and leading projects

                                · Use data science techniques to find data patterns, anomalies, and optimization opportunities

                                · Analyze complex data sets and operational parameters to support leadership in decision-making while implementing new solutions and processes

                                · Utilize the data to analyze and collaborate with Senior Terminal Managers, Terminal Managers, and Supervisors, as well as Network Planning to recommend optimization improvements in the Operation, contribute to define the operating models of the future and the optimization of the train loading plan, and participate in any resulting change management

                                Advance Analytics

                                · Manage and analyze large sums of data across various CN platforms to improve quality, reduce losses, and optimize planning processes

                                · Apply statistical and machine learning knowledge to specific business problems and data

                                · Collaborate with key stakeholders in the organization, vendors, and consultants to design and implement advanced analytical tools, consolidate data, and perform testing

                                · Act as an expert in sophisticated operational systems and terminal technology, advanced analytics, and benchmark CN, internally and externally

                                · Help build customer and operation score cards and dashboards that provide qualitative and historical view of the Company’s performance

                                Working Conditions

                                The role has standard working conditions in an office environment with a regular workweek. The incumbent must be available to work weekends when necessary. Due to the nature of the role, the position must be able to meet tight deadlines, handle pressure, and stress. The role requires minimal travel (5%).

                                Requirements

                                Experience

                                Research and Data Modelling

                                · Between 2 to 5 years of experience in research and advanced data modeling

                                o Between 2 to 5 years of experience in a large-scale operation and logistics environment

                                o Experience with optimization software and mathematical programming language such as CPLEX, Lingo or others

                                o Experience cleaning, managing, and visualizing data, structured and unstructured

                                o Experience with warehouse management, transportation, and planning systems*

                                o Experience with technology and operation automation projects*

                                o Experience in applied research in areas relevant to AI *

                                o Experience with Machine Learning algorithms*

                                *Any experience for these above would be considered as an asset

                                Education/Certification/Designation

                                · Bachelor’s Degree in Engineering, Applied Mathematics, Logistics, Data Mining, and Supply Chain management*

                                · Bachelor’s Degree in Operation Research*

                                · Master’s Degree in Engineering, Operations Research, Statistics, Data Mining, Supply Chain Management or equivalent*

                                *Any designation for these above would be considered as an asset

                                Competencies

                                · Applies critical thinking

                                · Sets direction and inspires others

                                · Collaborates with others and shares information

                                · Solves problems to create value

                                · Demonstrates agility and drives change

                                · Knows the business and stays current on industry needs

                                · Fluently bilingual both written and verbal (English, French)*

                                *Any skills/attributes for these above would be considered as an asset

                                Technical Skills/Knowledge

                                · Project and time management*

                                · Knowledge of statistical modelling, operations research methodologies, Linear Programming (LP), data mining concepts or others

                                · Advanced knowledge of Microsoft Excel, Visual Basic for Applications (VBA), and macros

                                · Advanced knowledge of Structured Query Language (SQL) and NoSQL databases*

                                · Knowledge of advanced data analytics tools and languages such as Alteryx, R, Python or others*

                                · Knowledge in data visualization software, such as Tableau, PowerBI, Qlik or others*

                                *Any knowledge for any of the above would be considered as an asset

                                About CN

                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                +

                                +

                                +

                                +

                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                +
                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/10622?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-04-20T17:47:03.580Z,False,0,9,41,https://talenthub.vectorinstitute.ai/jobs/210223739-analyst-advance-analytics-at-cn,,expired,2023-03-30T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Mid-Senior Level,Bachelors Degree,New Posting, +8d31cbe0-6ad8-4a48-aa38-60449cc5557b,207765957,Borealis AI,Data Engineer,on_site,"Ontario, Canada",2023-03-23T17:27:01.978Z,"

                                What’s the opportunity?

                                -

                                Borealis AI is looking for a Research Director. The role includes directing a team of machine learning researchers and managing other research team leads with the goal of delivering AI-based products for the financial services industry. In addition, you will provide leadership and deliver on initiatives that improve the effectiveness of the entire research organization.

                                +

                                We’re looking for an enthusiastic data engineer who’s excited by the opportunity of designing distributed systems to support applications at the forefront of machine learning technology. As a Data Engineer, you’ll be responsible for owning and delivering systems to efficiently acquire, prepare, and process data for state-of-the-art AI solutions that we build at Borealis AI.

                                Engineering plays a vital role at Borealis AI, turning our machine learning models into products that generate exponential business value. We understand the financial system we operate in, and we have the resources, knowledge and tools to improve it. Our team of 40+ engineers work with leading Machine Learning researchers to accelerate, build and deploy products that will enhance risk applications, reduce fraud, help millions of people manage cash flow, access credit and plan for their financial futures. In the finance sector, millions of people are counting on us to get it right.

                                Your responsibilities include:

                                  -
                                • To join the Borealis AI research leadership team and shape the research organization as a whole and contribute to its overall performance.
                                • -
                                • To work with the Borealis AI business development team to identify viable artificial intelligence products that will add significant value to RBC stakeholders.
                                • -
                                • To lead a team of machine learning researchers delivering cutting edge AI technology to support these products.
                                • -
                                • To partner with Borealis AI’s product and engineering teams to ensure the seamless delivery of these products.
                                • -
                                • To manage other research team leads and provide guidance and support.
                                • -
                                • To help recruit, mentor and retain a high-performing research team across Borealis AI.
                                • +
                                • Helping build a world-class AI platform for Borealis AI and RBC;
                                • +
                                • Designing and building data pipelines for Borealis AI projects;
                                • +
                                • Building efficient data systems and abstractions for Borealis AI projects;
                                • +
                                • Collaborating with research, engineering and business teams to model and deliver on their data needs.
                                -

                                You’re our ideal candidate if you have:

                                +

                                You’re our ideal candidate if you:

                                  -
                                • A Ph.D. degree in Computer Science or a related technical field;
                                • -
                                • 10 years of experience leading research teams in machine learning in a product-centric environment or equivalent experience;
                                • -
                                • A track record of successful people management including mentoring junior researchers and engineers, experienced high-performance researchers, and research managers;
                                • -
                                • Experience delivering successful high-impact machine learning products
                                • -
                                • Involvement across the research and development lifecycle, from prototyping to production, engaging with stakeholders to develop solutions that meet business needs;
                                • -
                                • Broad research interests and detailed knowledge of cutting edge machine learning techniques across multiple areas;
                                • -
                                • The ability to formulate and drive multiple research projects independently;
                                • -
                                • Exceptional communication and leadership skills;
                                • -
                                • A history of high quality academic publications (e.g., NeurIPS, CVPR, AISTATS, ICLR, ICML etc.) and community recognition for excellence;
                                • +
                                • A bachelor’s degree in Computer Science, Software Engineering, or equivalent. A master’s or PhD in Data Systems sub-field is an asset;
                                • +
                                • 3+ years of software development experience in a high-responsibility, minimal-supervision environment;
                                • +
                                • Practical experience with all components of data requirements for ML systems ranging from data acquisition, storage, modelling and process, and serving in production systems;
                                • +
                                • Strong enterprise experience with data systems and infrastructure at scale;
                                • +
                                • Solid understanding of query optimization and modern data stack including Flink, dbt, spark, SQL engines, Parquet/Arrow, etc.;
                                • +
                                • Strong experience with writing modular, robust, scalable software in Python 3.x;
                                • +
                                • Strong communication skills and a collaborative attitude;
                                • +
                                • Hands-on experience deploying data systems in Cloud, AWS experience is an asset.
                                -

                                What\'s in it for you?

                                +

                                What’s in it for you?

                                • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                • -
                                • Ability to make a difference and lasting impact from a local-to-global scale
                                • +
                                • Leaders who support your development through coaching and managing opportunities;
                                • +
                                • Ability to make a difference and lasting impact from a local-to-global scale.

                                About Borealis AI

                                -

                                Borealis AI, a RBC Institute for Research, is a research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                +

                                Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                Inclusion and Equal Opportunity Employment

                                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                -
                                ",,https://www.borealisai.com/careers/?gh_jid=6466710002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-04-26T18:14:24.537Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/208693672-research-director-at-borealis-ai,,expired,2023-03-25T17:27:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,PhD,New Posting, -3f80d43d-0892-4dd3-8d3a-468107409931,209219015,Scotiabank,"First Nations/Metis/Inuit - Manager Collections Strategy Data Analytics, Remote Career Opportunity",on_site,Canada : Manitoba : Winnipeg || Canada : Alberta : Calgary || Canada : Alberta : Edmonton || Canada : British Columbia : Vancouver || Canada : Ontario : Windsor,2023-03-27T17:22:03.110Z,"

                                -

                                -

                                -

                                -

                                Requisition ID: 176220

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                -

                                Posted pursuant to Scotiabank’s Special Program under the Employment Equity Act and Canadian Human Rights Act.

                                While you must be an Indigenous person in order to submit your resume, participation is completely voluntary. Please use the definition below to make sure you’re eligible and open to self-identifying as Indigenous person:

                                Indigenous peoples include status, non-status First Nation, Métis and Inuit people. Only those Indigenous peoples who come from Canada should identify themselves as belonging to this designated group

                                -

                                -

                                Job Purpose:

                                -

                                -

                                Working within Global Risk Management, you will be responsible for driving improvements in collection strategies by leading the production of policies, strategies and data driven analyses that result in actionable insights that improve the Bank’s loan losses & profitability.

                                -

                                -

                                Job Responsibilities:

                                -

                                -
                                1. Participate in the strategic management of debt collections by:
                                2. -
                                -
                                • Leading the design, implementation, monitoring and management of Collection strategies for Canadian portfolios to mitigate credit losses by testing and assigning appropriate treatments to delinquent accounts
                                • Ensuring all credit risks associated with collections are understood and quantified with effective management reporting, across all components of collections (People, Data, Process, Technology, Strategy, Control Quality and Vendor Management)
                                • Lead continuous improvement of all components of collections from a credit risk perspective, leveraging risk technology and by working within the minimum standards defined in the global collections policy
                                • Mitigating risks/loss to the Bank by ensuring adherence to credit risk management policies and operational guidelines
                                • Continue to be fully aware of industry trends and opportunities as related to technology, process and decision science
                                • Ensuring future enhancements continue to be identified and implemented
                                • Support reorganizations/projects to create a Collections organization that is aligned with business partner’s strategic focus
                                • +
                                ",,https://www.borealisai.com/careers/?gh_jid=6674710002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-04-22T19:50:03.125Z,False,0,9,56,https://talenthub.vectorinstitute.ai/jobs/207765957-data-engineer-at-borealis-ai,,expired,2023-03-23T17:27:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +8ba83865-0de7-4de5-9605-a537e55b93f3,207764702,TD Bank Group,"Manager, Analytics & Insights",on_site,"Toronto, ON",2023-03-23T17:24:03.232Z,"
                                +

                                Company Overview

                                +
                                +

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                +

                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                +
                                +

                                +

                                Department Overview

                                +
                                +

                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                +

                                We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                +
                                +

                                +

                                Job Description

                                +
                                +

                                +

                                About this Role

                                +

                                You’ll manage a group of diverse, inclusive and collaborative Business Insights & Analytics Specialists, taking an integrated approach as you build relationships with business owners and internal partners in TD. With your deep knowledge of the business world, its organizational makeup and practices, you’ll develop key insights to address their rapidly growing data and information needs, business objectives and opportunities for improvement. Your team will be integral in the delivery of ongoing analytics projects as well as comprehensive ongoing support. Most importantly, your leadership inspires leadership in others, as well as the drive to execute with speed and precision and help bring TD into the future of business.

                                +

                                We are looking for someone to lead and cultivate a sizeable team of Business Insights & Analytics professionals/specialists.

                                +

                                +

                                As the Manager, Analytics & Insights you will:

                                +
                                  +
                                • Lead and manage a sizeable team of Analyst professionals and overall operation of a diverse group in an area of moderate risk, complexity or scope
                                • +
                                • Ensure an integrated approach with other business management areas, broader organization, and enterprise as appropriate
                                • +
                                • Deep knowledge and understanding of businesses /technology, and organizational practices/disciplines
                                • +
                                • Sound to advanced knowledge of external competition, industry and/or market trends in relation to own function/business
                                • +
                                • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                                • +
                                • Manage raised client issues or priorities and contact appropriate areas to resolve or minimize business problems/issues
                                • +
                                • Apply judgement, discretion and collaborate with internal partners to navigate and resolve ambiguous issues
                                • +
                                • Oversee and lead a large and/or highly complex, and diverse reporting function for an area of significant risk, complexity or scope
                                • +
                                • Review and/or build the presentation of insights back to executive leaders/business partners to drive strategic improvement
                                • +
                                • Collaborate with business partners to shape and prioritize ad hoc analysis
                                • +
                                • Set operational team direction, working in partnership to execute on common goals
                                • +
                                • Use data systems and various sources to ensure team is equipped to formulate well-defined solutions to solve business problems
                                • +
                                • Ensure team uses knowledge of data capabilities across the organization to build and deliver on business analytics and insights
                                • +
                                • Oversee the development and ongoing analysis for a business line or functional area employing both internal and external data from various sources
                                • +
                                • Manage workload of analytics team; assigning data request to staff based on skills and development needs
                                • +
                                • Support execution with excellence on key initiatives/programs
                                • +
                                • Design effective test and learn for various programs or scenarios
                                • +
                                • Develop analytic solutions to support insight generation that align to strategy and drive shareholder value
                                • +
                                • Lead large complex analytics projects to identify opportunities to further optimize our current product suite through self-initiated insights
                                • +
                                • Present insights back to executive leaders / business partners to drive strategic improvement
                                -

                                -

                                2. Lead initiatives to strengthen the Collections risk and operational effectiveness and efficiency. Continually champion new growth opportunities which lend themselves to the Bank’s goal of improving productivity, enhancing service and reducing costs by:

                                -
                                • Promoting the reengineering of processes to lower loan losses, improve dollars collected, improve productivity and reduce costs
                                • Drive continuous improvement in strategy effectiveness with focus on incremental profitability (i.e. losses avoided less cost to collect including incentives).
                                • Streamlining and/or integrating automation and technology
                                • Continually challenging the ‘status quo’ through innovation
                                • Support construction of a Centre of Excellence in Collections
                                • +
                                +

                                +

                                Requirements

                                +
                                +What can you bring to TD?
                                Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                +
                                  +
                                • Undergraduate or post graduate degree within Data Analytics space or Data Analysis / reporting certificate
                                • +
                                • Seven (7) or more years relevant experience with exposure to lead a team of several members.
                                • +
                                • Extensive experience using SQL, Python and Tableau
                                • +
                                • Experience with Adobe Analytics
                                • +
                                • Great communication skills to manage relation with stakeholders.
                                -

                                -

                                Job Requirements:

                                -

                                -
                                • Two to three years’ experience in data analytics
                                • Experience with statistical software packages such as SAS or SQL
                                • Strong leadership, collaboration, and communication skills
                                • Results driven individual with high level of curiosity and ability to dive into details without losing sight of the big picture
                                • Exceptional organization skills to prioritize, manage, and implement a variety of competing initiatives, on a concurrent or staggered basis
                                • A University degree in Economics, Finance, Business, Mathematics, or Computer science
                                • +
                                +

                                +

                                Additional Information

                                +
                                #LI-Hybrid
                                +

                                +

                                Flexible Work Options

                                +
                                N/A
                                +

                                +

                                Hours

                                +
                                37.5
                                +

                                +

                                Inclusiveness

                                +

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                +

                                +
                                ",,https://jobs.td.com/en-CA/jobs/18107934/manager-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-22T19:47:14.933Z,False,0,5,28,https://talenthub.vectorinstitute.ai/jobs/207764702-manager-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18107934/manager-analytics-insights-toronto-ca/,expired,2023-03-23T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +e6c3c2d9-db72-4cf8-ba18-e2046af746d4,226984830,Magna International,IoT Developer - Industry 4.0,on_site,"Brampton, ONTARIO, CA, L6R 0A9",2023-05-18T16:04:02.078Z,"
                                +
                                +

                                Role Summary

                                +
                                +

                                Transform today’s manufacturing by developing standard PLC and equipment programming concepts to support Magna Structures Heart Lake implementing an IoT architecture. The IoT Developer would be responsible for developing software to support digitizing of production lines and implementing streaming machine controls.

                                +

                                **The successful candidate for this role will work at our new Magna Structures Heart Lake facility located in Brampton, ON**

                                +
                                +
                                +
                                +

                                Key Responsibilities

                                +
                                +

                                We are building fully connected systems to achieve operational excellence – help us transform today’s manufacturing by Developing new techniques to connect legacy equipment to modern infrastructure.

                                +
                                • Managing code deployments, fixes, updates and related processes
                                • Support multiple on-going projects in a fast-paced environment
                                • Explain technical concepts and analysis implications clearly to a wide audience and be able to translate business objectives into actionable analysis
                                • Creating IoT applications that run on-premise and in the cloud
                                • Brainstorming for new ideas and ways to improve development and delivery
                                • Developing KPIs, metrics, and other monitoring tools to track I4.0 production environments
                                • Providing detailed specifications for proposed solutions including materials, external services and internal resources required
                                • Working with source control tools (Confluence, GitHub, etc.)
                                • Actively troubleshooting any issues that arise during testing and production
                                • Performing additional duties as assigned
                                • Acting with honesty and integrity, and make ethical business choices in accordance with Magna’s Compliance Policies and Procedures
                                • +
                                +
                                +
                                +
                                +

                                Key Qualifications/Requirements

                                +
                                +


                                KEY QUALIFICATIONS/REQUIREMENTS:

                                +
                                • Degree/Diploma in Computer Science or related field of study
                                • Minimum six plus (6+) years of related experience required
                                • Strong knowledge of Industry 4.0 integration
                                • Proven leader

                                -

                                Location(s): Canada : Manitoba : Winnipeg || Canada : Alberta : Calgary || Canada : Alberta : Edmonton || Canada : British Columbia : Vancouver || Canada : Ontario : Windsor

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Winnipeg-First-NationsMetisInuit-Manager-Collections-Strategy-Data-Analytics%2C-Remote-Career-Opportunity-ON/568974017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-26T19:01:21.389Z,False,0,2,17,https://talenthub.vectorinstitute.ai/jobs/209219015-first-nations-metis-inuit-manager-collections-strategy-data-analytics-remote-career-opportunity-at-scotiabank,https://jobs.scotiabank.com/job/Winnipeg-First-NationsMetisInuit-Manager-Collections-Strategy-Data-Analytics%2C-Remote-Career-Opportunity-ON/568974017/,expired,2023-03-27T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -e7f123cb-0852-4526-a751-a1bf403213f6,218282647,Google,"Software Developer III, Infrastructure, Google Cloud Platforms",on_site,"Toronto, ON, Canada",2023-04-24T17:20:02.934Z,"
                                -
                                -2023-04-20T19:01:01.089Z
                                -
                                  -
                                • Share
                                • -
                                  Save -
                                • -

                                Software Developer III, Infrastructure, Google Cloud Platforms

                                  -
                                • Google
                                • -
                                • In-office:
                                  - Waterloo, ON, Canada -
                                • -
                                -
                                -

                                Qualifications

                                -

                                Minimum qualifications:

                                -
                                  -
                                • Bachelor’s degree or equivalent practical experience.
                                • -
                                • 2 years of experience with software development in C++.
                                • -
                                • 2 years of experience with data structures or algorithms in either an academic or industry setting.
                                • -
                                -

                                Preferred qualifications:

                                -
                                  -
                                • Master\'s degree or PhD in Computer Science or related technical fields.
                                • -
                                • 2 years of experience building and developing large-scale infrastructure, distributed systems or networks, and/or experience with compute technologies, storage, and/or hardware architecture.
                                • -
                                • Experience developing accessible technologies.
                                • -
                                -
                                -
                                -
                                -

                                About the job

                                -

                                Google\'s software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We\'re looking for software developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

                                -

                                Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google\'s product portfolio possible. We\'re proud to be our engineers\' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

                                -

                                Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

                                -
                                -
                                -
                                -

                                Responsibilities

                                  -
                                • Write product or system development code.
                                • -
                                • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
                                • -
                                • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
                                • -
                                • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
                                • -
                                • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
                                • -
                                -
                                -

                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and Know your rights: workplace discrimination is illegal. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                                At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                                -
                                -
                                -
                                ",,"https://careers.google.com/jobs/results/126912536151761606-software-developer-iii-infrastructure-google-cloud-platforms/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-04-27T17:25:03.831Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/218282647-software-developer-iii-infrastructure-google-cloud-platforms-at-google,,expired,2023-04-24T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,New Posting, +

                                POSITION REQUIREMENTS:

                                +
                                • Understanding of multiple computer programming languages (ex: JavaScript, C#, Python, C++, Java)
                                • Experience with databases and different types of data storage
                                • Strong experience with relational databases like SQL Server, MySQL and Oracle
                                • In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework
                                • Experience with the MQTT protocol
                                • Time and project management skills, with the capability to prioritize and multitask as needed
                                • Experience with capability studies (such as CPK, Gage R, and Gage R&R)
                                • Knowledge of different project management methodologies such as Waterfall and Agile
                                • Knowledgeable of statistical methods such as regression, probability analysis, risk analysis, statistical process control, and clustering is desired
                                • Strong analytical and problem-solving ability to design an effective solution
                                • Familiarity with BI technologies (ex., Microsoft Power BI, AWS Quicksight, Qlikview) PLC programming background in Siemens and Rockwell controllers among others
                                • Robot programming background (such as Fanuc, ABB, Kuka,etc…)
                                • +
                                +
                                +
                                +
                                +

                                What Heart Lake Offers

                                +
                                • Weekly pay via direct deposit
                                • Overtime after 40 hours worked
                                • Company paid Medical and Dental Benefits and an option for enhanced flexible benefits
                                • Magna will contribute an amount equal to 3% of regular earnings every week to your retirement savings (MBC program)
                                • Profit sharing
                                • Matched GRRSP
                                • Company paid Life Insurance and Accidental Death and Dismemberment (AD&D)
                                • Safety shoe allowance, prescription safety glasses allowance, custom molded earplug allowance
                                • Company paid uniforms
                                • Company BBQ, holiday parties and company events
                                • Corporate Social Responsibility initiatives
                                • Annual Employee Opinion Survey
                                • Magna Service Award Program
                                • Magna Scholarship Program
                                • Group Rogers and Bell cellphone data plan available
                                • Subsidized cafeteria
                                • Educational Assistance Program
                                • Employee Discounts: new vehicles, amusement parks, etc.
                                • You get to work with a FANTASTIC Team at a state-of-the-art Electric Vehicle Battery Enclosure Plant
                                • +
                                +
                                +
                                +

                                Additional Information

                                +

                                Accommodations for disabilities in relation to the job selection process are available upon request.

                                +
                                +
                                +

                                Awareness. Unity. Empowerment.

                                +

                                At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                                +
                                +
                                ",,https://jobs.magna.com/job/IoT-Developer-Industry-4_0/570436117/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-06-18T02:04:48.720Z,False,0,1,30,https://talenthub.vectorinstitute.ai/jobs/226984830-iot-developer-industry-4-0-at-magna-international,https://jobs.magna.com/job/IoT-Developer-Industry-4_0/570436117/,expired,2023-05-18T16:04:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Manufacturing ,Mid-Senior Level,Bachelors Degree,New Posting, 6a347d6a-25da-425a-b7e5-69c8cdd460ff,198986184,RBC,"Manager, Data Analytics",on_site,"Toronto, ON, Canada",2023-02-23T17:16:04.662Z,"

                                Come Work with Us!

                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                Job Title

                                Manager, Data Analytics

                                @@ -344879,170 +352429,68 @@ f247ded1-9a1a-4f18-93ba-984e0e3b2593,204323269,TD Bank Group,"Senior Analyst, Mo

                                OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Head-Office-Toronto/Data-Engineer--Investment-Finance_JR-4607?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-03-20T17:47:03.917Z,False,0,1,7,https://talenthub.vectorinstitute.ai/jobs/205321390-data-engineer-investment-finance-at-omers,,expired,2023-03-16T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, -9214a514-068a-4aae-8c8c-854a47a024df,207767102,OMERS,Business Intelligence Specialist 6-month Contract,on_site,"Ontario, Canada",2023-03-23T17:42:03.813Z,"
                                -

                                Why join us?

                                -

                                -

                                Are you looking to join a dynamic pension plan that embodies the strong values of its 500,000 members and is an industry leading global investor? If so, we would love to tell you our story.

                                At OMERS we put our people first and are proud to embrace the diversity of thought and leadership that comes from having locations in Toronto, London, New York, Singapore, Sydney and other major cities across North America and Europe. Our culture is truly one of a kind. We get stuff done, and have fun doing it! We take great pride in contributing to the communities where we live with an ever-constant eye to the global investment markets.

                                -

                                -

                                -

                                -

                                -

                                -
                                As a key member of the Enterprise Data and Advanced Analytics team, the role of BI Specialist is instrumental in enhancing data & analytics capabilities by championing industry best practices and delivering high quality reports and training to enhance business decision making. They help translate complex solutions to digestible business-centric outcomes and will do so by building interactive data visualizations using Power BI and sophisticated data models.

                                They will work with business-unit leaders to identify and prioritize problems that analytics is suited to solve and help identify the data (internal or external) needed to produce the most useful insights. In addition to being responsible for end to end solutions that business users can execute on, they also work towards driving adoption among business users. The individual will support and collaborate with data engineers, data scientists and business users and engage in technical support, research and knowledge sharing through the implementation lifecycle of projects and solutions. The ideal candidate is one that strives to evolve through their career and transition into a data scientist role in the near future by taking advantage of the tremendous learning and collaboration opportunity this role provides.
                                -

                                As a member of this team, you will be responsible for:

                                -
                                  -
                                • Designing and building interactive insightful data products using Power BI, ML and Azure
                                • -
                                • Developing and monitoring Azure data pipelines, Power BI Premium Dataflows to gather, transform and democratize structured and unstructured data assets
                                • -
                                • Building professional growth by actively acquiring predictive modelling and programming skills
                                • -
                                • Collaborating with data architects, engineers, and data scientists to carve out solutions that can support ongoing and future analytical capabilities
                                • -
                                • Facilitating workshops with stakeholders to gather requirements and develop low/high fidelity wireframes
                                • -
                                • Contributing to the Power BI Community of Interest/Champions network to review latest features and updates
                                • -
                                • Facilitating collaboration and promoting best practices of building BI and analytical solutions
                                • -
                                • Broadening the reach of Power BI through providing Dashboard in a Day and other Power Platform workshops at Enterprise level
                                • -
                                • Helping instill a product mindset in the team and presenting and communicating analytics centric solutions to stakeholders and the immediate team
                                • -
                                • Operating in an Agile development environment
                                • -
                                • Managing change and communicating impacts to stakeholders and fellow team members
                                • -
                                • Provisioning and resource management of Premium Capacity
                                • -
                                • Leading multiple projects simultaneously and ensuring on-time delivery
                                • -
                                • Usage Monitoring and Auditing
                                • -
                                -

                                -

                                To succeed in this role, you have:

                                -

                                -
                                  -
                                • Bachelor’s degree in information systems, Business Analytics, Data Science, Business, Accounting, Finance, or related discipline with two (2) + years of experience
                                • -
                                • Excellent data visualization skills and experience of developing dashboards using Power BI (DAX and M). Strong ability to communicate quantitative data into a visually engaging story
                                • -
                                • Experience and proficiency in SQL scripting and Azure is a must
                                • -
                                • Experience and proficiency with an additional programming language such as Python is an asset
                                • -
                                • Knowledge or experience of machine learning and data science is a plus
                                • -
                                • Depth of Power BI experience wrangling complex data using M functions and developing sophisticated semantic logic using DAX expressions will be thoroughly tested and is required
                                • -
                                • Breadth of technical experience and knowledge in the MSFT data and analytics ecosystem, with Subject Matter Expertise in Power BI
                                • -
                                • Ability to quickly propose solutions by recalling the latest best practices learned from MVP & Product Team articles, MSFT documentation, whitepapers, and other community publications is required
                                • -
                                • Proven track record of building deep technical relationships. Experience in aligning expectations across various stakeholders
                                • -
                                • Able to trace data lineage and resolve technical issues with minimal supervision
                                • -
                                • Polished written and verbal communication and presentation skills targeted at all levels of the organization
                                • -
                                -

                                -

                                -

                                -

                                -

                                Our story:

                                -

                                Founded in 1962, OMERS is one of Canada’s largest defined benefit pension plans, with $124 billion in net assets as at December 31, 2022. OMERS is a jointly-sponsored pension plan, with more than 1,000 participating employers ranging from large cities to local agencies, and over half a million active, deferred and retired members. OMERS members include union and non-union employees of municipalities, school boards, local boards, transit systems, electrical utilities, emergency services and children’s aid societies across Ontario. Contributions to the Plan are funded equally by members and employers. OMERS teams work in Toronto, London, New York, Amsterdam, Luxembourg, Singapore, Sydney and other major cities across North America and Europe – serving members and employers and originating and managing a diversified portfolio of high-quality investments in public markets, private equity, infrastructure and real estate.

                                -

                                -

                                OMERS is committed to having a workforce that reflects the communities in which we live and work. We are an equal opportunity employer committed to a barrier-free recruitment and selection process. At OMERS inclusion and diversity means belonging. How we create a sense of belonging is through our employees and our vast network of Employee Resource Groups. Whether you are passionate about gender, pride, or visible minorities, we have groups that are focused on making a difference in all of our lives.

                                -
                                ",,https://omers.wd3.myworkdayjobs.com/en-US/OMERS_External/job/Business-Intelligence-Specialist-6-month-Contract_JR-4735-1?q=analytics+ontario,feed-importer@jobboard.io,,,,2023-04-20T17:47:03.580Z,False,0,6,41,https://talenthub.vectorinstitute.ai/jobs/207767102-business-intelligence-specialist-6-month-contract-at-omers,,expired,2023-03-23T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -854cd811-4d6e-40bf-8eb6-a319b492c5a0,210223739,CN,"Analyst, Advance Analytics",on_site,"Ontario, Canada",2023-03-30T17:42:05.608Z,"
                                -

                                -

                                At CN, everyday brings new and exciting challenges. You can expect an interesting environment where you’re part of making sure our business is running optimally and safely―helping keep the economy on track. We provide the kind of paid training and opportunities that long-term careers are built on and we recognize hard workers who strive to make a difference. You will be able to thrive in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                Job Summary

                                The Analyst, Advance Analytics role is responsible for leveraging statistical analysis, Artificial Intelligence (AI) machine learning, and optimization techniques to support the development of the terminal operating model of the future. The incumbent generates and utilizes the resulting data to optimize the operation and support the implementation of the Smart Terminal Program, as well as continuous improvement projects. The position contributes to CN’s Intermodal by mining critical data, using advanced Internet of Things (IoT), state-of-the-art sensors and control electronics, big data infrastructures, advanced analytics, deep learning, and other leading-edge technologies to improve virtually every aspect of the business.

                                Main Responsibilities

                                Continuous Improvement and Process Optimization Stakeholder Engagement and Alignment

                                · Drive continuous improvement by identifying opportunities and leading projects

                                · Use data science techniques to find data patterns, anomalies, and optimization opportunities

                                · Analyze complex data sets and operational parameters to support leadership in decision-making while implementing new solutions and processes

                                · Utilize the data to analyze and collaborate with Senior Terminal Managers, Terminal Managers, and Supervisors, as well as Network Planning to recommend optimization improvements in the Operation, contribute to define the operating models of the future and the optimization of the train loading plan, and participate in any resulting change management

                                Advance Analytics

                                · Manage and analyze large sums of data across various CN platforms to improve quality, reduce losses, and optimize planning processes

                                · Apply statistical and machine learning knowledge to specific business problems and data

                                · Collaborate with key stakeholders in the organization, vendors, and consultants to design and implement advanced analytical tools, consolidate data, and perform testing

                                · Act as an expert in sophisticated operational systems and terminal technology, advanced analytics, and benchmark CN, internally and externally

                                · Help build customer and operation score cards and dashboards that provide qualitative and historical view of the Company’s performance

                                Working Conditions

                                The role has standard working conditions in an office environment with a regular workweek. The incumbent must be available to work weekends when necessary. Due to the nature of the role, the position must be able to meet tight deadlines, handle pressure, and stress. The role requires minimal travel (5%).

                                Requirements

                                Experience

                                Research and Data Modelling

                                · Between 2 to 5 years of experience in research and advanced data modeling

                                o Between 2 to 5 years of experience in a large-scale operation and logistics environment

                                o Experience with optimization software and mathematical programming language such as CPLEX, Lingo or others

                                o Experience cleaning, managing, and visualizing data, structured and unstructured

                                o Experience with warehouse management, transportation, and planning systems*

                                o Experience with technology and operation automation projects*

                                o Experience in applied research in areas relevant to AI *

                                o Experience with Machine Learning algorithms*

                                *Any experience for these above would be considered as an asset

                                Education/Certification/Designation

                                · Bachelor’s Degree in Engineering, Applied Mathematics, Logistics, Data Mining, and Supply Chain management*

                                · Bachelor’s Degree in Operation Research*

                                · Master’s Degree in Engineering, Operations Research, Statistics, Data Mining, Supply Chain Management or equivalent*

                                *Any designation for these above would be considered as an asset

                                Competencies

                                · Applies critical thinking

                                · Sets direction and inspires others

                                · Collaborates with others and shares information

                                · Solves problems to create value

                                · Demonstrates agility and drives change

                                · Knows the business and stays current on industry needs

                                · Fluently bilingual both written and verbal (English, French)*

                                *Any skills/attributes for these above would be considered as an asset

                                Technical Skills/Knowledge

                                · Project and time management*

                                · Knowledge of statistical modelling, operations research methodologies, Linear Programming (LP), data mining concepts or others

                                · Advanced knowledge of Microsoft Excel, Visual Basic for Applications (VBA), and macros

                                · Advanced knowledge of Structured Query Language (SQL) and NoSQL databases*

                                · Knowledge of advanced data analytics tools and languages such as Alteryx, R, Python or others*

                                · Knowledge in data visualization software, such as Tableau, PowerBI, Qlik or others*

                                *Any knowledge for any of the above would be considered as an asset

                                About CN

                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                -

                                -

                                -

                                -

                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                -
                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/10622?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-04-20T17:47:03.580Z,False,0,9,41,https://talenthub.vectorinstitute.ai/jobs/210223739-analyst-advance-analytics-at-cn,,expired,2023-03-30T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Mid-Senior Level,Bachelors Degree,New Posting, -8d31cbe0-6ad8-4a48-aa38-60449cc5557b,207765957,Borealis AI,Data Engineer,on_site,"Ontario, Canada",2023-03-23T17:27:01.978Z,"
                                -

                                What’s the opportunity?

                                -

                                We’re looking for an enthusiastic data engineer who’s excited by the opportunity of designing distributed systems to support applications at the forefront of machine learning technology. As a Data Engineer, you’ll be responsible for owning and delivering systems to efficiently acquire, prepare, and process data for state-of-the-art AI solutions that we build at Borealis AI.

                                Engineering plays a vital role at Borealis AI, turning our machine learning models into products that generate exponential business value. We understand the financial system we operate in, and we have the resources, knowledge and tools to improve it. Our team of 40+ engineers work with leading Machine Learning researchers to accelerate, build and deploy products that will enhance risk applications, reduce fraud, help millions of people manage cash flow, access credit and plan for their financial futures. In the finance sector, millions of people are counting on us to get it right.

                                -

                                Your responsibilities include:

                                -
                                  -
                                • Helping build a world-class AI platform for Borealis AI and RBC;
                                • -
                                • Designing and building data pipelines for Borealis AI projects;
                                • -
                                • Building efficient data systems and abstractions for Borealis AI projects;
                                • -
                                • Collaborating with research, engineering and business teams to model and deliver on their data needs.
                                • -
                                -

                                You’re our ideal candidate if you:

                                -
                                  -
                                • A bachelor’s degree in Computer Science, Software Engineering, or equivalent. A master’s or PhD in Data Systems sub-field is an asset;
                                • -
                                • 3+ years of software development experience in a high-responsibility, minimal-supervision environment;
                                • -
                                • Practical experience with all components of data requirements for ML systems ranging from data acquisition, storage, modelling and process, and serving in production systems;
                                • -
                                • Strong enterprise experience with data systems and infrastructure at scale;
                                • -
                                • Solid understanding of query optimization and modern data stack including Flink, dbt, spark, SQL engines, Parquet/Arrow, etc.;
                                • -
                                • Strong experience with writing modular, robust, scalable software in Python 3.x;
                                • -
                                • Strong communication skills and a collaborative attitude;
                                • -
                                • Hands-on experience deploying data systems in Cloud, AWS experience is an asset.
                                • -
                                -

                                What’s in it for you?

                                -
                                  -
                                • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                • -
                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                • -
                                • Leaders who support your development through coaching and managing opportunities;
                                • -
                                • Ability to make a difference and lasting impact from a local-to-global scale.
                                • -
                                -

                                About Borealis AI

                                -

                                Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                -

                                Inclusion and Equal Opportunity Employment

                                -

                                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                -

                                -
                                ",,https://www.borealisai.com/careers/?gh_jid=6674710002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-04-22T19:50:03.125Z,False,0,9,56,https://talenthub.vectorinstitute.ai/jobs/207765957-data-engineer-at-borealis-ai,,expired,2023-03-23T17:27:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -8ba83865-0de7-4de5-9605-a537e55b93f3,207764702,TD Bank Group,"Manager, Analytics & Insights",on_site,"Toronto, ON",2023-03-23T17:24:03.232Z,"
                                -

                                Company Overview

                                -
                                -

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                -

                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                -
                                +7213ee2e-bb4b-48f7-83d6-5c12382dfad6,210217845,CIBC,"Director, Treasury Quantitative Analytics",on_site,"Ontario, Canada",2023-03-30T17:06:03.566Z,"
                                +

                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                -

                                Department Overview

                                -
                                -

                                What does TD Data & Analytics stand for? For starters, we believe in visionary leadership and insights.

                                -

                                We believe in the talent we grow to better serve our clients, and we know, many of the ground-breaking discoveries and products that represent the future at TD, can all be driven with data.

                                -
                                +

                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                -

                                Job Description

                                -
                                -

                                -

                                About this Role

                                -

                                You’ll manage a group of diverse, inclusive and collaborative Business Insights & Analytics Specialists, taking an integrated approach as you build relationships with business owners and internal partners in TD. With your deep knowledge of the business world, its organizational makeup and practices, you’ll develop key insights to address their rapidly growing data and information needs, business objectives and opportunities for improvement. Your team will be integral in the delivery of ongoing analytics projects as well as comprehensive ongoing support. Most importantly, your leadership inspires leadership in others, as well as the drive to execute with speed and precision and help bring TD into the future of business.

                                -

                                We are looking for someone to lead and cultivate a sizeable team of Business Insights & Analytics professionals/specialists.

                                -

                                -

                                As the Manager, Analytics & Insights you will:

                                +

                                To learn more about CIBC, please visit CIBC.com

                                +

                                +

                                Job Description

                                +

                                +

                                What You’ll Be Doing

                                +

                                +

                                Treasury Analytics supports the senior Treasury leadership team in establishing the analytical and systems framework to measure, model, and optimize retail product risks and customer behavior. This support consists of pricing new and existing retail banking products, forecasting P/L, and transfer pricing the interest-rate and optionality risk from retail SBU’s into Treasury for hedging. Treasury Analytics also manages the customer behavior risk to optimally maintain minimal customer behavior risk in the Canadian Retail Balance Sheet.

                                +

                                +

                                As the Director, Treasury Analytics, you will support Senior Directors to evolve and expand the mandate of Treasury Analytics, providing strategy and leading the management of individual cashflow modeling programs. You will drive insights, identify inherent risk drivers of consumer products and relate relate modeling risk specifications back to the business. This requires the ability to think critically, dive into the underlying mechananics of the specific problems and translate complex concepts into program enhancements and specification to Technology for development. This is a high visibility role where the Director must effectively communicate complex problems and solutions to senior treasury executives and LOB.

                                +

                                +

                                Additionally, you will maintain/enhance the analytics infrastructure developed in Treasury Analytics used to conduct analysis of how consumer behavior affects retail product cash-flows and the use of embedded options; to assist in developing business requirements; to assist in appling advanced statistical models and financial engineering techniques to quantify and ensure mimimal consumer behaviour risk. You will also assist in implementing/applying advanced analytics for optimization, reporting, P/L decomp and back-testing, and risk factor simulation and to interpret and explain any resulting output. This is a unique opportunity that involves leadership and development of the Treasury Analytics functions and expansion of mandates.

                                +

                                +

                                At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                +

                                +

                                How You’ll Succeed

                                  -
                                • Lead and manage a sizeable team of Analyst professionals and overall operation of a diverse group in an area of moderate risk, complexity or scope
                                • -
                                • Ensure an integrated approach with other business management areas, broader organization, and enterprise as appropriate
                                • -
                                • Deep knowledge and understanding of businesses /technology, and organizational practices/disciplines
                                • -
                                • Sound to advanced knowledge of external competition, industry and/or market trends in relation to own function/business
                                • -
                                • Ensure team collaboration with partners on business problems/issues and provide fact-based analytical advice that aligns to strategy and drives shareholder value
                                • -
                                • Manage raised client issues or priorities and contact appropriate areas to resolve or minimize business problems/issues
                                • -
                                • Apply judgement, discretion and collaborate with internal partners to navigate and resolve ambiguous issues
                                • -
                                • Oversee and lead a large and/or highly complex, and diverse reporting function for an area of significant risk, complexity or scope
                                • -
                                • Review and/or build the presentation of insights back to executive leaders/business partners to drive strategic improvement
                                • -
                                • Collaborate with business partners to shape and prioritize ad hoc analysis
                                • -
                                • Set operational team direction, working in partnership to execute on common goals
                                • -
                                • Use data systems and various sources to ensure team is equipped to formulate well-defined solutions to solve business problems
                                • -
                                • Ensure team uses knowledge of data capabilities across the organization to build and deliver on business analytics and insights
                                • -
                                • Oversee the development and ongoing analysis for a business line or functional area employing both internal and external data from various sources
                                • -
                                • Manage workload of analytics team; assigning data request to staff based on skills and development needs
                                • -
                                • Support execution with excellence on key initiatives/programs
                                • -
                                • Design effective test and learn for various programs or scenarios
                                • -
                                • Develop analytic solutions to support insight generation that align to strategy and drive shareholder value
                                • -
                                • Lead large complex analytics projects to identify opportunities to further optimize our current product suite through self-initiated insights
                                • -
                                • Present insights back to executive leaders / business partners to drive strategic improvement
                                • +
                                • Management and Enhancement of Cash-Flow Modeling Books - Leadership role to specify and model the retail risk representation in the cashflow modeling book (CFMB). This includes working with the LOB to understand any behavioural changes and strategic thinking to evolve the program to effectively model and hedge risk. Liase with Treasury CFO group to interpret and explain cash-flow modeling P/L variability. Enhancing PnL decomposition and signing off on daily cash-flow modeling P/L.

                                • +
                                • Financial/Derivative Analytics - Ensure pricing and risk analytics capture all hedge-able risks as is practical. This will include work to prototype pricing and hedge of fixed income derivatives. Maintain/Develop analytics/methodologies for transfer pricing new retail products, assess new and existing retail product profitability, and cash-flow modeling book.

                                • +
                                • Consumer Behavior Analytics - Apply customer behaviour calibration techniques for Treasury Analytics’ parameter review. Incorporate consumer behavior models into the funds transfer pricing and hedging processes. Collaborate in the development, continuous improvement and ongoing expansion of an analytics library with appropriate tools, models and techniques for modeling of customer behaviour and interest rate risks.

                                • +
                                • Systems and Support (Infrastructure) - Lead development and implementation of various strategic business initiatives. This includes liaise with various groups within CIBC to explain methodologies, and procedures developed within Treasury Analytics to assess analytic/data requirements for future business activities and resolve any issues which arise. Lead the maintenance of pricing, risk and mathematical analytics library supporting integration across all Treasury systems that are used for Bank-wide benchmarking to validate pricing or risk. This will ensure consistency of risk measures across different risk platforms and measures and mitigate model risk.

                                • +
                                • Quantitative Analysis - Lead the implementation of sophisticated mathematical modeling, processes or algorithms to conduct analysis. Ensure operational effectiveness to deliver analytics capabilities, ensuring that outputs are correct and reproducible, and proper documentation to explain methods.

                                -

                                -

                                Requirements

                                -
                                -What can you bring to TD?
                                Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                +

                                Who You Are

                                  -
                                • Undergraduate or post graduate degree within Data Analytics space or Data Analysis / reporting certificate
                                • -
                                • Seven (7) or more years relevant experience with exposure to lead a team of several members.
                                • -
                                • Extensive experience using SQL, Python and Tableau
                                • -
                                • Experience with Adobe Analytics
                                • -
                                • Great communication skills to manage relation with stakeholders.
                                • +
                                • You can demonstrate experience. In ALM, Product Analytics, and Risk Management with a bank and/or other financial institution. You have strong work experience in applied mathematical, quantitative analytics, statistical, or stochastic modeling. Strong system and quantitative programming skills using C/C++/Python/R/SQL or high-level languages. Experience in working with banking retail products such as commitments, mortgages or GICs.

                                • +
                                • It’s an asset. Experience in quantitative analytics with a bank and/or other financial institution in areas of valuation, hedging and risk measurement is a strong asset. Exposure to valuation and risk metrics of various interest rate derivatives will be an asset.

                                • +
                                • You can demonstrate knowledge. In financial economics, financial mathematics such as fixed income theory, statistics, treasury processes, risk management and balance sheet modeling techniques. You have strong theoretical understanding of financial economics, financial mathematics, statistics, risk management and option modeling techniques. Ability to express modeling insights with an aptitude for explaining PnL and risk drivers. Experience in advanced GLM (including Cox regression), panel time series and model selection.

                                • +
                                • You have a degree/diploma. Masters/Doctoral degree in mathematics, computer science, quantitative finance, engineering, statistics and/or related technical subject.

                                • +
                                • You’re goal oriented. You’re motivated by accomplishing your goals and delivering your best to make a difference.

                                • +
                                • You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way. Ability to express modeling insights with an aptitude for explaining PnL and risk drivers. Creative problem solver and strong analytical skills.

                                • +
                                • You\'re motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.

                                • +
                                • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                                -

                                -

                                Additional Information

                                -
                                #LI-Hybrid
                                +

                                What CIBC Offers

                                -

                                Flexible Work Options

                                -
                                N/A
                                +

                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                +
                                  +
                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                                • +
                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                • +
                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                • +

                                -

                                Hours

                                -
                                37.5
                                +

                                What you need to know

                                +
                                  +
                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                • +
                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                • +

                                -

                                Inclusiveness

                                -

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                -
                                ",,https://jobs.td.com/en-CA/jobs/18107934/manager-analytics-insights-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-04-22T19:47:14.933Z,False,0,5,28,https://talenthub.vectorinstitute.ai/jobs/207764702-manager-analytics-insights-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18107934/manager-analytics-insights-toronto-ca/,expired,2023-03-23T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Manager,Bachelors Degree,New Posting, +

                                +

                                +

                                +

                                Job Location

                                161 Bay Street, 39th Floor

                                Employment Type

                                Regular

                                +

                                Weekly Hours

                                37.5

                                Skills

                                +

                                Asset and Liability Management (ALM), Behavior Modeling, C++ Programming Language, Communication, Critical Thinking, Financial Modeling, Fixed Income Valuation, Hedging, PL/SQL (Programming Language), Product Analytics, Python (Programming Language), Risk Management, R Programming, Treasury Management
                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Director--Treasury-Quantitative-Analytics_2304779?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-04-24T17:11:03.032Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/210217845-director-treasury-quantitative-analytics-at-cibc,,expired,2023-03-30T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, 3096d754-5671-44c3-844f-0ffa00f2b303,214825258,Scotiabank,"Manager, Data Platforms Risk & Audit Management - CID&A",on_site,Canada : Ontario : Toronto,2023-04-13T17:22:03.270Z,"

                                @@ -345161,181 +352609,94 @@ f247ded1-9a1a-4f18-93ba-984e0e3b2593,204323269,TD Bank Group,"Senior Analyst, Mo

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Data-Scientist-CID&A-ON-M5C2V9/569563817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-24T17:27:03.121Z,False,0,10,27,https://talenthub.vectorinstitute.ai/jobs/217073599-data-scientist-cid-a-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Scientist-CID&A-ON-M5C2V9/569563817/,expired,2023-04-20T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, -7213ee2e-bb4b-48f7-83d6-5c12382dfad6,210217845,CIBC,"Director, Treasury Quantitative Analytics",on_site,"Ontario, Canada",2023-03-30T17:06:03.566Z,"
                                -

                                We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

                                -

                                -

                                At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

                                -

                                -

                                To learn more about CIBC, please visit CIBC.com

                                -

                                -

                                Job Description

                                -

                                -

                                What You’ll Be Doing

                                -

                                -

                                Treasury Analytics supports the senior Treasury leadership team in establishing the analytical and systems framework to measure, model, and optimize retail product risks and customer behavior. This support consists of pricing new and existing retail banking products, forecasting P/L, and transfer pricing the interest-rate and optionality risk from retail SBU’s into Treasury for hedging. Treasury Analytics also manages the customer behavior risk to optimally maintain minimal customer behavior risk in the Canadian Retail Balance Sheet.

                                -

                                -

                                As the Director, Treasury Analytics, you will support Senior Directors to evolve and expand the mandate of Treasury Analytics, providing strategy and leading the management of individual cashflow modeling programs. You will drive insights, identify inherent risk drivers of consumer products and relate relate modeling risk specifications back to the business. This requires the ability to think critically, dive into the underlying mechananics of the specific problems and translate complex concepts into program enhancements and specification to Technology for development. This is a high visibility role where the Director must effectively communicate complex problems and solutions to senior treasury executives and LOB.

                                -

                                -

                                Additionally, you will maintain/enhance the analytics infrastructure developed in Treasury Analytics used to conduct analysis of how consumer behavior affects retail product cash-flows and the use of embedded options; to assist in developing business requirements; to assist in appling advanced statistical models and financial engineering techniques to quantify and ensure mimimal consumer behaviour risk. You will also assist in implementing/applying advanced analytics for optimization, reporting, P/L decomp and back-testing, and risk factor simulation and to interpret and explain any resulting output. This is a unique opportunity that involves leadership and development of the Treasury Analytics functions and expansion of mandates.

                                -

                                -

                                At CIBC we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement where you’ll spend 1-3 days per week on-site, while other days will be remote.

                                -

                                -

                                How You’ll Succeed

                                -
                                  -
                                • Management and Enhancement of Cash-Flow Modeling Books - Leadership role to specify and model the retail risk representation in the cashflow modeling book (CFMB). This includes working with the LOB to understand any behavioural changes and strategic thinking to evolve the program to effectively model and hedge risk. Liase with Treasury CFO group to interpret and explain cash-flow modeling P/L variability. Enhancing PnL decomposition and signing off on daily cash-flow modeling P/L.

                                • -
                                • Financial/Derivative Analytics - Ensure pricing and risk analytics capture all hedge-able risks as is practical. This will include work to prototype pricing and hedge of fixed income derivatives. Maintain/Develop analytics/methodologies for transfer pricing new retail products, assess new and existing retail product profitability, and cash-flow modeling book.

                                • -
                                • Consumer Behavior Analytics - Apply customer behaviour calibration techniques for Treasury Analytics’ parameter review. Incorporate consumer behavior models into the funds transfer pricing and hedging processes. Collaborate in the development, continuous improvement and ongoing expansion of an analytics library with appropriate tools, models and techniques for modeling of customer behaviour and interest rate risks.

                                • -
                                • Systems and Support (Infrastructure) - Lead development and implementation of various strategic business initiatives. This includes liaise with various groups within CIBC to explain methodologies, and procedures developed within Treasury Analytics to assess analytic/data requirements for future business activities and resolve any issues which arise. Lead the maintenance of pricing, risk and mathematical analytics library supporting integration across all Treasury systems that are used for Bank-wide benchmarking to validate pricing or risk. This will ensure consistency of risk measures across different risk platforms and measures and mitigate model risk.

                                • -
                                • Quantitative Analysis - Lead the implementation of sophisticated mathematical modeling, processes or algorithms to conduct analysis. Ensure operational effectiveness to deliver analytics capabilities, ensuring that outputs are correct and reproducible, and proper documentation to explain methods.

                                • -
                                -

                                -

                                Who You Are

                                -
                                  -
                                • You can demonstrate experience. In ALM, Product Analytics, and Risk Management with a bank and/or other financial institution. You have strong work experience in applied mathematical, quantitative analytics, statistical, or stochastic modeling. Strong system and quantitative programming skills using C/C++/Python/R/SQL or high-level languages. Experience in working with banking retail products such as commitments, mortgages or GICs.

                                • -
                                • It’s an asset. Experience in quantitative analytics with a bank and/or other financial institution in areas of valuation, hedging and risk measurement is a strong asset. Exposure to valuation and risk metrics of various interest rate derivatives will be an asset.

                                • -
                                • You can demonstrate knowledge. In financial economics, financial mathematics such as fixed income theory, statistics, treasury processes, risk management and balance sheet modeling techniques. You have strong theoretical understanding of financial economics, financial mathematics, statistics, risk management and option modeling techniques. Ability to express modeling insights with an aptitude for explaining PnL and risk drivers. Experience in advanced GLM (including Cox regression), panel time series and model selection.

                                • -
                                • You have a degree/diploma. Masters/Doctoral degree in mathematics, computer science, quantitative finance, engineering, statistics and/or related technical subject.

                                • -
                                • You’re goal oriented. You’re motivated by accomplishing your goals and delivering your best to make a difference.

                                • -
                                • You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way. Ability to express modeling insights with an aptitude for explaining PnL and risk drivers. Creative problem solver and strong analytical skills.

                                • -
                                • You\'re motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.

                                • -
                                • Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

                                • -
                                -

                                -

                                What CIBC Offers

                                -

                                -

                                At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

                                -
                                  -
                                • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a health benefits program, defined benefit pension plan, an employee share purchase plan and MomentMakers, our social, points-based recognition program.

                                • -
                                • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

                                • -
                                • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

                                • -
                                -

                                -

                                What you need to know

                                -
                                  -
                                • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

                                • -
                                • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

                                • -
                                -

                                -

                                -

                                -

                                -

                                -

                                Job Location

                                161 Bay Street, 39th Floor

                                Employment Type

                                Regular

                                -

                                Weekly Hours

                                37.5

                                Skills

                                -

                                Asset and Liability Management (ALM), Behavior Modeling, C++ Programming Language, Communication, Critical Thinking, Financial Modeling, Fixed Income Valuation, Hedging, PL/SQL (Programming Language), Product Analytics, Python (Programming Language), Risk Management, R Programming, Treasury Management
                                ",,https://cibc.wd3.myworkdayjobs.com/en-US/search/job/Toronto-ON/Director--Treasury-Quantitative-Analytics_2304779?q=data+analytics+science+&Country=a30a87ed25634629aa6c3958aa2b91ea&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@cibc.ca,https://www.cibc.com/en/about-cibc/careers.html,,,2023-04-24T17:11:03.032Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/210217845-director-treasury-quantitative-analytics-at-cibc,,expired,2023-03-30T17:06:00.000Z,import-xml-feed:CIBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,Masters Degree,New Posting, -81019ab0-51d4-4f47-aca3-0c04b0866053,217073698,TD Bank Group,Data Steward I,on_site,"Toronto, ON",2023-04-20T17:24:02.615Z,"
                                -

                                Company Overview

                                -
                                -

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                -

                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                -
                                -

                                -

                                Department Overview

                                -
                                -

                                The TD Securities Chief Data Office (TDS-CDO) aims to operate, organize, govern and monetize TDS data assets. This is achieved through four strategic pillars:

                                -
                                  -
                                • Make Data Accessible
                                • -
                                • Secure & Govern Data
                                • -
                                • Create Tools & Enable Others to Use Them
                                • -
                                • Derive Value from Data
                                • -
                                -

                                In doing so, the TDS-CDO enables the dealer with a focus on:

                                -
                                  -
                                • Grow: Service clients, monetize data & allocate resources
                                • -
                                • Protect: Manage Risk & Regulatory Compliance
                                • -
                                • Standardize: Achieve technology & operational efficiencies
                                • -
                                • Develop: Data Driven Culture
                                • +e291c21a-babd-4d28-b5ae-b2c3502d8742,208693672,Borealis AI,Research Director,on_site,"Ontario, Canada",2023-03-25T17:27:03.186Z,"
                                  +

                                  What’s the opportunity?

                                  +

                                  Borealis AI is looking for a Research Director. The role includes directing a team of machine learning researchers and managing other research team leads with the goal of delivering AI-based products for the financial services industry. In addition, you will provide leadership and deliver on initiatives that improve the effectiveness of the entire research organization.

                                  +

                                  Your responsibilities include:

                                  +
                                    +
                                  • To join the Borealis AI research leadership team and shape the research organization as a whole and contribute to its overall performance.
                                  • +
                                  • To work with the Borealis AI business development team to identify viable artificial intelligence products that will add significant value to RBC stakeholders.
                                  • +
                                  • To lead a team of machine learning researchers delivering cutting edge AI technology to support these products.
                                  • +
                                  • To partner with Borealis AI’s product and engineering teams to ensure the seamless delivery of these products.
                                  • +
                                  • To manage other research team leads and provide guidance and support.
                                  • +
                                  • To help recruit, mentor and retain a high-performing research team across Borealis AI.
                                  • +
                                  +

                                  You’re our ideal candidate if you have:

                                  +
                                    +
                                  • A Ph.D. degree in Computer Science or a related technical field;
                                  • +
                                  • 10 years of experience leading research teams in machine learning in a product-centric environment or equivalent experience;
                                  • +
                                  • A track record of successful people management including mentoring junior researchers and engineers, experienced high-performance researchers, and research managers;
                                  • +
                                  • Experience delivering successful high-impact machine learning products
                                  • +
                                  • Involvement across the research and development lifecycle, from prototyping to production, engaging with stakeholders to develop solutions that meet business needs;
                                  • +
                                  • Broad research interests and detailed knowledge of cutting edge machine learning techniques across multiple areas;
                                  • +
                                  • The ability to formulate and drive multiple research projects independently;
                                  • +
                                  • Exceptional communication and leadership skills;
                                  • +
                                  • A history of high quality academic publications (e.g., NeurIPS, CVPR, AISTATS, ICLR, ICML etc.) and community recognition for excellence;
                                  • +
                                  +

                                  What\'s in it for you?

                                  +
                                    +
                                  • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                  • +
                                  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                  • +
                                  • Ability to make a difference and lasting impact from a local-to-global scale
                                  • +
                                  +

                                  About Borealis AI

                                  +

                                  Borealis AI, a RBC Institute for Research, is a research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                  +

                                  Inclusion and Equal Opportunity Employment

                                  +

                                  RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                  +

                                  +
                                  ",,https://www.borealisai.com/careers/?gh_jid=6466710002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-04-26T18:14:24.537Z,False,0,2,9,https://talenthub.vectorinstitute.ai/jobs/208693672-research-director-at-borealis-ai,,expired,2023-03-25T17:27:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,PhD,New Posting, +3f80d43d-0892-4dd3-8d3a-468107409931,209219015,Scotiabank,"First Nations/Metis/Inuit - Manager Collections Strategy Data Analytics, Remote Career Opportunity",on_site,Canada : Manitoba : Winnipeg || Canada : Alberta : Calgary || Canada : Alberta : Edmonton || Canada : British Columbia : Vancouver || Canada : Ontario : Windsor,2023-03-27T17:22:03.110Z,"

                                  +

                                  +

                                  +

                                  +

                                  Requisition ID: 176220

                                  Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                  +

                                  +

                                  Posted pursuant to Scotiabank’s Special Program under the Employment Equity Act and Canadian Human Rights Act.

                                  While you must be an Indigenous person in order to submit your resume, participation is completely voluntary. Please use the definition below to make sure you’re eligible and open to self-identifying as Indigenous person:

                                  Indigenous peoples include status, non-status First Nation, Métis and Inuit people. Only those Indigenous peoples who come from Canada should identify themselves as belonging to this designated group

                                  +

                                  +

                                  Job Purpose:

                                  +

                                  +

                                  Working within Global Risk Management, you will be responsible for driving improvements in collection strategies by leading the production of policies, strategies and data driven analyses that result in actionable insights that improve the Bank’s loan losses & profitability.

                                  +

                                  +

                                  Job Responsibilities:

                                  +

                                  +
                                  1. Participate in the strategic management of debt collections by:
                                  2. +
                                  +
                                  • Leading the design, implementation, monitoring and management of Collection strategies for Canadian portfolios to mitigate credit losses by testing and assigning appropriate treatments to delinquent accounts
                                  • Ensuring all credit risks associated with collections are understood and quantified with effective management reporting, across all components of collections (People, Data, Process, Technology, Strategy, Control Quality and Vendor Management)
                                  • Lead continuous improvement of all components of collections from a credit risk perspective, leveraging risk technology and by working within the minimum standards defined in the global collections policy
                                  • Mitigating risks/loss to the Bank by ensuring adherence to credit risk management policies and operational guidelines
                                  • Continue to be fully aware of industry trends and opportunities as related to technology, process and decision science
                                  • Ensuring future enhancements continue to be identified and implemented
                                  • Support reorganizations/projects to create a Collections organization that is aligned with business partner’s strategic focus
                                  -
                                  -

                                  -

                                  Job Description

                                  -
                                  -

                                  About this Role

                                  -

                                  Reporting to the AVP, Data Governance in the Chief Data Office, the Data Steward I will be responsible to support the implementation of data governance and related data management activities for TD Securities.

                                  -

                                  Job Accountabilities:

                                  -
                                    -
                                  • Support the TDS-CDO in accordance with the Enterprise Data Policy, Standards and Strategy
                                  • -
                                  • Provides data governance expertise and executes data governance activities
                                  • -
                                  • Contribute to various operational activities and processes as assigned
                                  • -
                                  • Be knowledgeable of data management practices and procedures within own area of responsibility and keep abreast of emerging trends for own functional area
                                  • -
                                  • Assist and help drive the automation of the Data management practices including metadata, data lineage, authoritative sources, data usage, data quality rules, etc.
                                  • -
                                  • Be knowledgeable of data management tools related to metadata, lineage, data quality, etc. (e.g.: Collibra, Alation, Informatica, Ataccama, etc.)
                                  • -
                                  • Advises and consults with projects related to implementation of data management practices during system development (data impact analysis, quality controls, data lineage, etc.)
                                  • -
                                  • Develop and/or prepare applicable business metrics / standard / ad hoc reporting in collaboration with partners and stakeholders for data governance/management area to help inform or support decisions as appropriate
                                  • -
                                  • Conduct internal and external research projects; support the development / delivery of presentations / communications to management or broader audience
                                  • -
                                  • Conduct reporting and / or meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/ policies /
                                  • -
                                  • Support the development of presentations /communications and dissemination of information
                                  • -
                                  • Coordinate relevant processes /meetings /events that impact the TDS-CDO’s practices
                                  • -
                                  • Understand department objectives and contribute by recommending appropriate action to management based on analysis and review of results within assigned scope
                                  • -
                                  • Monitor service, productivity and assess efficiency levels within own function and implement continuous process / performance improvements where opportunities exist
                                  • -
                                  • Acquire and apply expertise in the discipline, provide guidance, assistance and direction to others
                                  • -
                                  • Adhere to internal policies/procedures and applicable regulatory guidelines
                                  • -
                                  • Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts
                                  • -
                                  • Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite
                                  • -
                                  • Consistently exercise discretion in managing correspondence, information and all matters of confidentiality; escalate issues where appropriate
                                  • +

                                    +

                                    2. Lead initiatives to strengthen the Collections risk and operational effectiveness and efficiency. Continually champion new growth opportunities which lend themselves to the Bank’s goal of improving productivity, enhancing service and reducing costs by:

                                    +
                                    • Promoting the reengineering of processes to lower loan losses, improve dollars collected, improve productivity and reduce costs
                                    • Drive continuous improvement in strategy effectiveness with focus on incremental profitability (i.e. losses avoided less cost to collect including incentives).
                                    • Streamlining and/or integrating automation and technology
                                    • Continually challenging the ‘status quo’ through innovation
                                    • Support construction of a Centre of Excellence in Collections
                                    -
                                  -

                                  -

                                  Requirements

                                  -
                                  What can you bring to TD? Share your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

                                  -

                                  Education/Accreditations:

                                  -
                                    -
                                  • Undergraduate degree or technical certificate and/or
                                  • -
                                  • 5+ years relevant experience
                                  • +

                                    +

                                    Job Requirements:

                                    +

                                    +
                                    • Two to three years’ experience in data analytics
                                    • Experience with statistical software packages such as SAS or SQL
                                    • Strong leadership, collaboration, and communication skills
                                    • Results driven individual with high level of curiosity and ability to dive into details without losing sight of the big picture
                                    • Exceptional organization skills to prioritize, manage, and implement a variety of competing initiatives, on a concurrent or staggered basis
                                    • A University degree in Economics, Finance, Business, Mathematics, or Computer science
                                    -

                                    Other Qualifications/Skills/Experience:

                                    -
                                      -
                                    • Solid knowledge of data governance/data management practices, enterprise data policy, standards &strategy
                                    • -
                                    • Solid knowledge of LOB data strategy, data risk management, and data life cycle management
                                    • -
                                    • Knowledge of current and emerging competitor and market trends
                                    • -
                                    • Skill in using analytical software tools, data analysis methods and reporting techniques
                                    • -
                                    • Skill in using computer applications including MS Office
                                    • -
                                    • Ability to communicate effectively in both oral and written form
                                    • -
                                    • Ability to work collaboratively and build relationships
                                    • -
                                    • Ability to work successfully as a member of a team and independently
                                    • -
                                    • Ability to exercise sound judgement in making decisions
                                    • -
                                    • Ability to analyze, organize and prioritize work while meeting multiple deadlines
                                    • -
                                    • Ability to handle confidential information with discretion
                                    • -
                                    • Knowledge of Basel Data Management Framework is desirable
                                    • -
                                  -

                                  -

                                  Additional Information

                                  -
                                  -#LI-Hybrid #LI-Post
                                  -

                                  -

                                  Hours

                                  -
                                  37.5
                                  -

                                  -

                                  Inclusiveness

                                  -

                                  At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                  -

                                  -
                                  ",,https://jobs.td.com/en-CA/jobs/18339803/data-steward-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-20T18:03:55.491Z,False,0,6,34,https://talenthub.vectorinstitute.ai/jobs/217073698-data-steward-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18339803/data-steward-i-toronto-ca/,expired,2023-04-20T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -4634ad35-981e-4381-8e7f-46b33dbcac39,217075575,TELUS,"Manager, Data Engineering (MDM)",on_site,"Ontario, Canada",2023-04-20T17:42:03.325Z,"
                                  +

                                  +

                                  Location(s): Canada : Manitoba : Winnipeg || Canada : Alberta : Calgary || Canada : Alberta : Edmonton || Canada : British Columbia : Vancouver || Canada : Ontario : Windsor

                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Winnipeg-First-NationsMetisInuit-Manager-Collections-Strategy-Data-Analytics%2C-Remote-Career-Opportunity-ON/568974017/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-26T19:01:21.389Z,False,0,2,17,https://talenthub.vectorinstitute.ai/jobs/209219015-first-nations-metis-inuit-manager-collections-strategy-data-analytics-remote-career-opportunity-at-scotiabank,https://jobs.scotiabank.com/job/Winnipeg-First-NationsMetisInuit-Manager-Collections-Strategy-Data-Analytics%2C-Remote-Career-Opportunity-ON/568974017/,expired,2023-03-27T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +ab51f9c1-0516-441d-891d-337c7ce43f41,212883400,TELUS,Senior Machine Learning Engineering Consultant,on_site,"Ontario, Canada",2023-04-06T17:42:02.218Z,"

                                Description

                                -

                                Our team and what we’ll accomplish together

                                -

                                -

                                We are searching for a talented candidate to become our team’s Manager, MDM & Business Operations Insights. Reporting to the Director – Enterprise Data Engineering, the successful candidate will be responsible for leading a team of accomplished data analysts, engineers and architects supporting our data and analytics platform transformation. This role will be an agent of change and support the evolving strategy, data and analytics roadmaps of the enterprise data engineering team. The portfolio will focus specifically on the Master Data Management (MDM) workstream while also driving continuous improvement to our GCP engineering practices (common ingestion framework), CI/CD pipelines, DevOps, SRE, batch and real-time data ingestion, and addressing technical debt. Our team is a cloud first team and leverages the latest technologies to fuel our mission of driving value for TELUS via data enablement.

                                -

                                -

                                What you’ll do

                                -

                                -

                                At TELUS, we put ‘Customers First’. With a broad set of responsibilities and a high degree of visibility across the TELUS organization, the successful candidate will have the opportunity to:

                                +

                                Our team and what we’ll accomplish together

                                As a ML Engineer at TELUS, you’ll be in great company, working alongside some of the brightest and most creative Data Scientists, Data Engineers, and Strategists. You will be part of the journey we’re on to better understand our customers, to predict their needs and interaction behavior. With your expert knowledge and experience in Machine Learning, you will contribute to the development of state-of-the-art ML & AI driven solutions. Our team works in a fun, innovative, and challenging environment that directly influences the strategic direction and performance of the Marketing, Strategy & Data Insights team in our Home Solutions and Mobility business.

                                +
                                  +
                                • We provide opportunities for you to excel and show your stuff: work on high-value and high-visibility projects
                                • +
                                • We have flexible work styles with the ability to work in and out of the office
                                • +
                                • You will work in a team that actively supports your personal development with progressive training and development tools
                                • +
                                +


                                What you’ll do

                                  -
                                • Lead a team of talented data Analysts, Engineers and Architects to drive the modernization of our data platforms
                                • -
                                • Foster internal and external stakeholder relationships, including managing senior executive participants
                                • -
                                • Provide guidance to establish standards and best practices for building enterprise grade data pipelines
                                • -
                                • Work with our preferred Cloud service providers to align our roadmap based on their release schedule for services and product offerings
                                • -
                                • Construct comprehensive business cases and financial models leveraging various methods to support strategic projects and decisions with data driven insights
                                • -
                                • Utilize internal and external data points coupled with market research on marketplace dynamics impacting TELUS and the Data Strategy team to inform opportunities and risks for the team
                                • -
                                • Create technology roadmaps for business partners, executive management, and external audiences to enhance strategic decision making and support technology investment recommendations
                                • -
                                • Collaborate with key stakeholders to create, track and evolve the team scorecards and strategic imperatives
                                • -
                                • Support the annual strategic and financial planning process
                                • -
                                • Flex your communication, negotiation, and influencing skills, working with a broad set of internal stakeholders, executives and external partners
                                • -
                                • Mentor, lead, and support a diverse and very talented team of data professionals
                                • +
                                • Support and evolve the AI Insights roadmap by leveraging industry research, best practices, and emerging tools/technologies
                                • +
                                • Study and transform data science prototypes and design machine learning systems according to requirements for production
                                • +
                                • Select appropriate datasets and data representation methods
                                • +
                                • Execute, oversee, and evolve production ML models and algorithm selection to deliver solutions that are relevant and facilitate decision-making.
                                • +
                                • Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
                                • +
                                • Identify opportunities for process/model optimization and refine to improve effectiveness/accuracy and enhance ROI
                                • +
                                • Collaborate with Data Scientists and Data Engineers within TELUS as well as external Data Science communities
                                • +
                                • Responsible for end-to-end engagement from problem definition to insight delivery as well as value realization & measurement

                                @@ -345348,174 +352709,526 @@ f247ded1-9a1a-4f18-93ba-984e0e3b2593,204323269,TD Bank Group,"Senior Analyst, Mo

                                What you bring

                                  -
                                • You have experience in technical leadership, managing data platforms, business intelligence tools and setting architectural direction
                                • -
                                • You can communicate clearly and effectively in both technical and business matters able to translate technical considerations into business implications
                                • -
                                • You are analytical and outcome-oriented with a proven ability to translate business requirements into high-level design models
                                • -
                                • You have hands on knowledge of foundational cloud data architecture of lakes, warehouses, data modeling, and life cycle management
                                • -
                                • You have demonstrated experience with the governance and oversight of data privacy, security and the ethical use of data in previous roles
                                • -
                                • You have experience with cloud migration projects, agile methodologies, and DevOps practices
                                • -
                                • You have impressive people leadership track record with proven ability to recruit, coach, mentor and lead high performing teams in a fast-paced environment
                                • -
                                • You are a skilled relationship builder and skilled at prioritization, negotiation and influencing
                                • -
                                • You can pivot between supporting the urgent needs of the business and the long-term roadmap
                                • -
                                • You are flexible, adaptable and embrace ongoing change
                                • -
                                • You have experience working on and supporting large, complex technical projects that involve multiple stakeholders and business units
                                • -
                                • You have exposure to tools, technologies and programming languages including, but not limited to, Python, Airflow (composer), SQL, Apache Nifi, Hive, Spark, Dataflow (Apache Beam), Kafka, MDM, IICS & PowerCentre ETL
                                • -
                                • You have experience creating a vision for and implementing a culture of change to drive CI/CD, DevOps and other opportunities for operational effectiveness
                                • +
                                • You have 5 + years experience in a data related position
                                • +
                                • Extensive experience with ML frameworks, platforms and tools, and expert knowledge with GCP
                                • +
                                • You have solid development experience with Python and are comfortable with using GitHub and other programing languages
                                • +
                                • You are well versed in software and AI development lifecycles
                                • +
                                • You are capable of delivering technical and complex concepts in a way that is understood by non-technical audiences
                                • +
                                • You are a collaborative, creative, open-minded individual who possesses a natural curiosity and desire to experiment
                                • +
                                • You have the ability to communicate effectively to gather advanced Data Science requirements from Director-level stakeholders and communicate finding/insights in clear concise manner; ability to create/deliver impactful presentations
                                -

                                -

                                Great-to-haves

                                +


                                Great-to-haves

                                  -
                                • Bachelor of Computer Science or equivalent
                                • -
                                • 5+ years of progressive and relevant work experience with enterprise data
                                • -
                                • PMP certification is an asset
                                • -
                                • Experience with the data offerings in the Google Cloud Platform
                                • -
                                • Experience in the telecommunications industry
                                • -
                                • Excellent communication skills and ability to lead a large team
                                • +
                                • Masters in a quantitative field such as Math, Statistics, Computer Science, Economics, or Data Science
                                • +
                                • Google Professional ML Engineering Certification
                                • +
                                • Data visualization experience: Data Studio, Tableau, PowerBI, Domo, or Looker
                                • +
                                • Experience with agile methodology and team-based software development workflows (e.g. JIRA, Monday.com, etc.) #LI-Remote +

                                -
                                ",,https://careers.telus.com/job/Toronto-Manager%2C-Data-Engineering-%28MDM%29-ON/568709417/,feed-importer@jobboard.io,,,,2023-05-20T18:42:04.383Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/217075575-manager-data-engineering-mdm-at-telus,,expired,2023-04-20T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, -5d68f1d1-62f2-43f0-b83d-4b9c765f75f7,217086529,Invision AI,Machine Learning Engineer,on_site,"Toronto, ON, Canada",2023-04-20T21:01:40.454Z,"

                                Please note: Invision AI is one of our participating employers in the upcoming Talent Meetup with Startups and Scaleups event hosted in a hybrid capacity on May 17, 2023, from 12.00-2.00 PM. Attending employers looking to meet and interview a captive audience of AI professionals who are actively seeking new opportunities now or by Fall 2023. For event registration, click here

                                About Us
                                Our mission is to see and understand the world. Invision AI offers deep expertise with respect to Artificial Intelligence (AI) systems in the intelligent infrastructure and transportation space.

                                -

                                We go beyond simple 2D detection by capturing details about the space in 3D, including volume, direction, position and speed. That enables us to provide high integrity 3D digital twins for real-time actionable insights across a variety of applications and use cases in both mobile (moving sensor suites on vehicles) and fixed (wayside) scenarios. We are the only company in the world that we know of that is able to track objects that move between different cameras to provide a full end-to-end view of a space.

                                We are looking for a motivated and skilled Machine Learning Engineer to join our team in Toronto.

                                -
                                  -
                                • Deep knowledge and experience with Machine Learning algorithms, especially for object detection and classification. Experience in object tracking is a plus.
                                • -
                                • Good coder in Python; willing to go through rigorous code reviews
                                • -
                                • Clear and concise communicator
                                • -
                                • Find solutions that are pragmatic; realize that cutting-edge methods from literature are risky in terms of how well they work and often not necessary to complete a task
                                • -
                                -

                                Job Description:

                                -

                                You will be in charge of the following tasks:

                                -
                                  -
                                • Design and implement solutions in python; verify and test, go through MR process
                                • -
                                • Review other people’s code and give feedback
                                • -
                                • Participate in daily standup and other team meetings
                                • -
                                • Analyze model inputs and outputs; fix bugs and suggest where and how our solution can be improved
                                • -
                                • Occasionally annotate data - Design and implement solutions in python; verify and test, go through MR process
                                • -
                                • Review other people’s code and give feedback
                                • -
                                • Participate in daily standup and other team meetings
                                • -
                                • Analyze model inputs and outputs; fix bugs and suggest where and how our solution can be improved
                                • -
                                • Occasionally annotate data
                                • -
                                -

                                Invision AI offers deep expertise with respect to Artificial Intelligence (AI) systems in the intelligent infrastructure and transportation space. We have developed a number of unique technical innovations incorporated into a central AI platform. We go beyond simple 2D detection by capturing details about the space in 3D, including volume, direction, position and speed. That enables us to provide high integrity 3D digital twins for real-time actionable insights across a variety of applications and use cases in both mobile (moving sensor suites on vehicles) and fixed (wayside) scenarios. We are the only company in the world that we know of that is able to track objects that move between different cameras to provide a full end-to-end view of a space.

                                -

                                As a company, we distinguish ourselves by taking an integrated hardware-software approach throughout all our products as we constantly iterate between sensors (cameras, LiDAR, radar), their geometries and the associated vision and artificial intelligence algorithms. This has consistently allowed us to achieve industry-leading accuracy and reliability. We build lightweight, cost-effective, edge solutions: we locate compute nodes close to the sensors (as opposed to in the cloud) and leverage distributed compute and wireless transmission where needed.

                                -

                                We enjoy finding principled and practical solutions that mix computer vision, machine learning and software engineering.

                                ",samruddhi.hadkar@vectorinstitute.ai,,aitalent@vectorinsitute.ai,https://www.invision.ai,,,2023-05-20T21:02:00.000Z,True,33,0,476,https://talenthub.vectorinstitute.ai/jobs/217086529-machine-learning-engineer-at-invision-ai,,expired,2023-05-08T21:01:00.000Z,admin,Startup (1-19),Vector Quick Apply,Software,Associate,Masters Degree,New Posting, -bf97dc14-f65e-4608-83c1-11da933f8fe6,221076221,Scotiabank,Velocity - Data Scientist Internship/Co-Op - Fall 2023,on_site,Canada : Ontario : Toronto,2023-05-01T17:22:02.123Z,"

                                +
                                ",,https://careers.telus.com/job/Toronto-Senior-Machine-Learning-Engineering-Consultant-ON/568309817/,feed-importer@jobboard.io,,,,2023-05-06T19:26:17.997Z,False,0,5,35,https://talenthub.vectorinstitute.ai/jobs/212883400-senior-machine-learning-engineering-consultant-at-telus,,expired,2023-04-06T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, +fb948c7c-2ab2-4a84-9048-e5e513efddf4,218282685,Scotiabank,Fraud Analytics Manager,on_site,Canada : Ontario : North York || Canada : Ontario : Ajax || Canada : Ontario : Mississauga || Canada : Ontario : Scarborough || Canada : Ontario : Toronto,2023-04-24T17:22:02.211Z,"

                                -

                                Requisition ID: 177545

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                Requisition ID: 172337

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                Term: September - December 2023
                                Application Deadline: 05/19/2023

                                +

                                Purpose

                                +

                                +

                                Contributes to the overall success of the Fraud Management Group in Canada ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                +

                                +

                                Proactively contributes to the Fraud strategy by applying advanced analytics techniques to enhance fraud mitigation capabilities for multiple products across the Canadian Retail portfolio, including Day to Day Banking, Credit Cards, Unsecured Lending Products, Mortgages and Global Payments.

                                -

                                There's no better way to find your dream job than to do a co-op or internship with Scotiabank! During your work term, you’ll have the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it! There’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

                                -

                                -

                                The Velocity Program is not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine!

                                -

                                -

                                -

                                Is this role right for you? In this role, you will:

                                -
                                • Collaborate with business lines and other stakeholders and identify opportunities to drive business value by leveraging data science solutions
                                • Leverage distributed computing tools (e.g., Spark, Cloud) for analysis, data mining, and modeling
                                • Collaborate with data engineering, software developer, and other analytics teams to build analytical dataset and model
                                • Create and apply model and algorithm testing strategies to measure, conduct testing to measure the effectiveness of models, and make ongoing changes
                                • Prepare detailed documentation to outline data sources, models, and algorithms used and developed
                                • Present results to business line stakeholders and help implement real data-driven changes
                                • Work on challenging and research-based initiatives using advanced machine learning methods focusing on data-driven outcomes
                                • Experiment & learn!
                                • -
                                -

                                -

                                Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if:

                                -
                                • You are currently enrolled in post-secondary education.
                                • You love to learn and envision yourself working for an international organization that heavily invests in your future.
                                • You enjoy being involved in extracurricular activities such as conferences, clubs, and hackathons.
                                • You have knowledge/experience in:
                                • -
                                -
                                • Cleaning, transforming, and visualizing large data sets working with various data formats (e.g., unstructured logs, XML, JSON, flat files)
                                • Big Data/Cloud ecosystem (e.g., GCP)
                                • Experimental design, statistical analysis, machine learning
                                • Python programming
                                • Common machine learning libraries in Python, PySpark (scikit-learn, xgboost)
                                • UNIX tools and shell scripting
                                • SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)
                                • Visualization tools like PowerBI
                                • Kubernetes
                                • Git Workflows (Pull Request, Code Review, Branching)
                                • -
                                -

                                -

                                What’s in it for you?

                                -
                                • You’ll be part of a diverse, collaborative, innovative, and high-performing team.
                                • In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!
                                • Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!
                                • Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.
                                • +

                                  Accountabilities

                                  +

                                  +
                                  • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                  • Develop, execute, and monitor fraud strategies for payment cards (credit and debit) including fraud types such as Card Present, Card Not Present (including 3D Secure), Account Takeover, etc.
                                  • Report regularly on performance of existing fraud strategies deployed in Canadian Banking
                                  • Identify improvements of existing fraud strategies, procedures and policies
                                  • Maintain performance reporting and liaise with business partners to assess trends that may impact the business
                                  • Drive strong partnership with Fraud Operations to identify opportunities for improvement with focus on risk/return while ensuring alignment.
                                  • Identify and escalate fraud risks that are or will become in excess of the Risk Appetite
                                  • Leverage data mining tools (SAS, Python, R) to formulate fraud strategies that minimize fraud losses while maintaining a positive customer experience and controlling operating costs
                                  • Lead / participate in the identification, development and implementation of new initiatives
                                  • Contribute to and support a variety of projects and initiatives across the Fraud Management Group
                                  • Participate in discussions with IT partners and vendors on requirements and solution design
                                  • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                  • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                  -

                                  -

                                  How do I apply?

                                  -

                                  For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationshipsover resumes and are focused on learning about who you are and what youre interested in to uncover your true potential.Instead,we ask that as part of your application you complete the below:

                                  -

                                  -
                                  1. Complete your PLUM Profile here and save as a screenshot.
                                  2. Complete a short one-way video interview here.
                                  3. Once you have completed your Plum Profile and one-way video interview, apply to the role. Reminder: when the application asks for your resume, instead upload the screenshot of your PLUM Profile!
                                  4. -
                                  +

                                  -

                                  *To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

                                  +

                                  Education / Experience

                                  -

                                  Location(s): Canada : Ontario : Toronto

                                  Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                  At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Scientist-InternshipCo-Op-Fall-2023-ON/569923217/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-22T15:57:03.736Z,False,0,12,59,https://talenthub.vectorinstitute.ai/jobs/221076221-velocity-data-scientist-internship-co-op-fall-2023-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Velocity-Data-Scientist-InternshipCo-Op-Fall-2023-ON/569923217/,expired,2023-05-01T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -8e14e403-e88b-489e-8643-f48aa8e9ea63,221079987,Sun Life Financial,Senior Analytics Consultant,on_site,"Ontario, Canada",2023-05-01T17:41:01.797Z,"
                                -

                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                -

                                -

                                -

                                Job Description:

                                -

                                -

                                Sr Data Analytics Consultant, Group Disability

                                -

                                -

                                Reporting to the Assistant Vice President, Group Disability Western Canada and National Mental Health Solutions, the Senior Analytics Consultant will lead the development of innovative analytics solutions including transformation processes and complex data models that form the core of a new generation of analytics services and self-serve solutions for Group Disability Operations and our clients.

                                +
                                • A University degree in statistics, mathematics or computer science
                                • 3-5 years analytical experience preferred including statistical analysis, ideally related to Fraud Analytics or Risk Management
                                • Strong coding, organizing and manipulating large amounts of data (SAS, R, Python)
                                • Experience with PRM or similar fraud platform strongly desired
                                • Strong prioritizing, planning, analytical, presentation, project management, and relationship building skills
                                • Strong communication skills essential with clients, vendors and management
                                • Must be self-motivated, energetic and results-oriented and be committed to adding value to the organization
                                • +
                                +

                                +

                                Location(s): Canada : Ontario : North York || Canada : Ontario : Ajax || Canada : Ontario : Mississauga || Canada : Ontario : Scarborough || Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/North-York-Fraud-Analytics-Manager-ON-M3C0N5/567308517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-04T17:27:03.744Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/218282685-fraud-analytics-manager-at-scotiabank,https://jobs.scotiabank.com/job/North-York-Fraud-Analytics-Manager-ON-M3C0N5/567308517/,expired,2023-04-24T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +ad389f6c-ebf3-4b1f-a640-c3ba13b2b8d9,217073195,RBC,Senior Analytics Manager,on_site,"Toronto, ON, Canada",2023-04-20T17:16:02.462Z,"
                                +

                                Come Work with Us!

                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                +

                                Job Title

                                Senior Analytics Manager

                                -

                                Our growing mandate to deliver Data Analytics, Artificial Intelligence and Data Solutions requires an experienced data consultant to accelerate the development of our strategic analytics projects in support of our Group Disability stakeholders.

                                +

                                Job Description

                                +

                                What is the opportunity?

                                -

                                What will you do?

                                -
                                  -
                                • Work directly with Group Disability operations leaders, consultants and clinicians; Group Benefits Market Development, along with data engineers, business data analysts, and data scientists in Canadian Operations throughout the entire engagement life cycle including technical analysis, design, development, implementation and consulting efforts
                                • -
                                • Maintain best practice standards for analysis and reporting at all levels including data governance, documentation, testing and visualization techniques
                                • -
                                • Lead and drive data modelling and analysis related to disability claims experience in support of Group Disability and related projects including setting up data for test and learn initiatives for research and development of innovation in disability management
                                • -
                                • Lead consultants in the team on various analytics projects
                                • -
                                • Facilitate group meetings of various sizes for solution design, decision making, problem-solving and solution implementation.
                                • -
                                • Turn complex data into easy to understand visual insights that are aligned to business objectives
                                • -
                                • Enable visual storytelling through Tableau and visual analytics tools
                                • -
                                • Coach and grow new and interested community of developers and champions within the organization
                                • -
                                +

                                To be a part of a global, exciting and forward-thinking Data Products team within Internal Audit that is focused on building insight-driven applications and tools to provide enhanced assurance across our technology and operations organizations. As RBC continues to evolve in response to new challenges that impact financial markets across the globe, Internal Audit have been proactive in transforming their approach from traditional auditing, to data-informed decision making when assessing and challenging the management of risk across the business.

                                -

                                What will you need to succeed?

                                +

                                The RBC CAE Group leverages a unique perspective— with a coordinated view across the entire business—to deliver valuable advice that not only gives assurance, but that illuminates a bigger picture, connects dots, builds best practices and broadens possibilities. In this role you will become a critical part of our journey to transform and automate our Internal Audit processes to better protect and enable the bank.

                                -

                                Education and Experience:

                                +

                                What will you do?

                                  -
                                • Minimum undergraduate degree in Mathematics, Computer Science, Engineering or equivalent
                                • -
                                • 3-5 years of experience in:
                                • -
                                • SQL and other languages used in data manipulation
                                • -
                                • Tableau or other BI development experience and designing dashboards / decision enablement tools
                                • -
                                • Experience leading analytics projects with stakeholders
                                • -
                                • Data warehousing principles and experience in design and/or development using dimensional modeling principles
                                • -
                                • Good Understanding of ELT/ETL processes and Microsoft SQL Server Analysis Services or equivalent technologies
                                • -
                                • Strong oral and written communication skills with experience in relating complex concepts to non-technical users, including presentation and storytelling with data
                                • -
                                • Visual design expertise with a solid understand of the best practices around dashboard and visual perception.
                                • -
                                • End-to-End development experience and ability to create complex calculations including Level of Detail (LOD) expressions, action filters, user filters and implement advanced dashboard practices in Tableau
                                • -
                                • Solid understanding of how to consolidate and transform data to meaningful and actionable information
                                • -
                                • Ability to draw out meaningful business insights by synthesizing information from multiple sources
                                • -
                                • Demonstrated experience in development of analytics applications or data analysis, including insights development and communication to senior leadership
                                • +
                                • Apply your skills in data validation, exploration, statistical analysis and machine learning on a diverse range of data sources to identify insights and opportunities to develop data products.
                                • +
                                • Use your curiosity and own initiative to develop innovative solutions to a wide and ever-changing set of complex problems across RBC.
                                • +
                                • Drive the automation and implementation of powerful data-backed reports to stakeholders throughout the organization.
                                • +
                                • Automate and productionize the testing of key business controls to enable auditors in continuously monitoring key risks across the enterprise.
                                • +
                                • Collaborate with other data analysts, data engineers and data scientists within Internal Audit to scale your ideas from concept to production.
                                • +
                                • Design, develop and maintain productionized applications and dashboards for our end users.
                                • +
                                • Respond to data analysis inquiries from the internal audit team.

                                -

                                What will be good to have?

                                +

                                What do you need to succeed?

                                +

                                Must have

                                  -
                                • Experience with AWS Data Lake
                                • -
                                • Experience with R, Python, AWS Sage Maker
                                • -
                                • Experience with Agile or design-driven development of analytics applications
                                • -
                                • PMP and/or Scrum Master certification
                                • -
                                • Experience with optimization and tuning of large data extracts for Tableau
                                • -
                                • Tableau desktop and server certification
                                • -
                                • Knowledge of Insurance or Financial Services industry
                                • +
                                • Degree in a quantitative field
                                • +
                                • Experience with either Python or R as well as SQL and other NoSQL DBs
                                • +
                                • Strong grasp of fundamentals in statistics (hypothesis testing, regression, inference)
                                • +
                                • Demonstrated experience exploring large, complex datasets for the purpose of anomaly detection and latent pattern recognition

                                -

                                What’s in it for you?

                                +

                                Nice to have

                                  -
                                • Competitive salary and bonus structure influenced by market range data
                                • -
                                • 20 days vacation per year and an innovative sabbatical program
                                • -
                                • A friendly, collaborative and inclusive culture
                                • -
                                • Being part of our Analytics community, where we share best practices and broaden skill-sets
                                • -
                                • Flexible Benefits from the day you join to meet the needs of you and your family
                                • -
                                • Pension, stock and savings programs to help build and enhance your future financial security
                                • -
                                • Fitness and wellness programs that help you balance work and life and enjoy a healthier lifestyle
                                • +
                                • Experience developing interactive and sophisticated dashboards in Tableau (or similar tool)
                                • +
                                • Experience working with Dataiku
                                • +
                                • Understanding of software engineering design principles
                                • +
                                • Experience building natural language processing (NLP) and unsupervised learning models
                                • +
                                • Demonstrated experience building strong relationships and communicating effectively with both technical and non-technical stakeholders

                                -

                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                -

                                -

                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                +

                                What’s in it for you?

                                -

                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                +

                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                -

                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                +
                                  +
                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation
                                • +
                                • Leaders who support your development through coaching and managing opportunities
                                • +
                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                • +
                                • Opportunities to do challenging work
                                • +
                                • Flexible work/life balance options
                                • +

                                -

                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                -

                                Salary Range:

                                74,100/74 100 - 120,800/120 800

                                -

                                Job Category:

                                Advanced Analytics

                                -

                                Posting End Date:

                                18/05/2023
                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Analytics-Consultant_JR00079744?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-05-22T16:15:02.812Z,False,0,3,36,https://talenthub.vectorinstitute.ai/jobs/221079987-senior-analytics-consultant-at-sun-life-financial,,expired,2023-05-01T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +

                                Job Summary

                                To be a part of a global, exciting and forward-thinking Data Products team within Internal Audit that is focused on building insight-driven applications and tools to provide enhanced assurance across our technology and operations organizations. As RBC continues to evolve in response to new challenges that impact financial markets across the globe, Internal Audit have been proactive in transforming their approach from traditional auditing, to data-informed decision making when assessing and challenging the management of risk across the business.

                                The RBC CAE Group leverages a unique perspective— with a coordinated view across the entire business—to deliver valuable advice that not only gives assurance, but that illuminates a bigger picture, connects dots, builds best practices and broadens possibilities. In this role you will become a critical part of our journey to transform and automate our Internal Audit processes to better protect and enable the bank.

                                Address:

                                TORONTO, Ontario, Canada

                                City:

                                CAN-ON-TORONTO

                                Country:

                                Canada

                                Work hours/week:

                                37.5

                                Employment Type:

                                Full time

                                Platform:

                                Internal Audit

                                Job Type:

                                Regular

                                Pay Type:

                                Salaried

                                Posted Date:

                                2023-04-19

                                Application Deadline:

                                2023-05-04
                                +

                                Inclusion and Equal Opportunity Employment

                                +

                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                ​​​​​​​
                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                +
                                +

                                Join our Talent Community

                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                +
                                ",,https://jobs.rbc.com/ca/en/job/R-0000057312/Senior-Analytics-Manager,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-05-04T17:21:01.982Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/217073195-senior-analytics-manager-at-rbc,,expired,2023-04-20T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +123112bc-00fb-4979-978b-0d87bdbbe341,217075525,Sun Life Financial,Senior Data Analyst,on_site,"Ontario, Canada",2023-04-20T17:41:02.048Z,"
                                +

                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                +

                                +

                                +

                                Job Description:

                                +

                                The Client Experience Office (CXO) is an important pillar of Sun Life’s corporate strategy and as such, is seeking an experienced Senior Data Analyst to join our CXO Analytics team. This team is dedicated to supporting client growth and performance through extracting meaningful insights from enterprise data.

                                +

                                +

                                Reporting to the AVP, CXO Analytics, the Senior Data Analyst will play an integral role in migrating our existing Lead Program reporting from SAS to AWS through migrating the technology to our newest data stack and updating existing reporting to provide more insight, a robust data foundation, and easier to understand visuals. This is an exciting opportunity to build new reports using new data sources and new technology. Please note this is a 6-month contract opportunity.

                                +

                                +

                                What will you do?

                                +
                                  +
                                • Design and engineer data products in Tableau

                                • +
                                • Ensure that a high level of data quality and data integrity are maintained across all data sources

                                • +
                                • Convert complex business and technical rules into logic for data flows, data pipelines and dashboards

                                • +
                                • Develop visualization solutions that present data accurately and drive insights to guide business decisions and outcomes

                                • +
                                • Collaborate with business stakeholders to understand reporting needs

                                • +
                                • Work with our Data Enablement teams to implement data products for reporting needs

                                • +
                                • Perform ad-hoc analysis to help explore new data questions

                                • +
                                +

                                +

                                What do you need to succeed?

                                +
                                  +
                                • 3-5 years of hands-on experience working with AWS technologies for data processing and analytics; demonstrated experience with relational database systems, relational models, and dimensional models

                                • +
                                • 3-5 years of experience with engineering data products as input to various analytical models

                                • +
                                • 3 years of experience in SQL with a proven track record in leveraging SQL and SQL-based programming to solve business problems

                                • +
                                • 2 years of experience with AWS Glue for ETL

                                • +
                                • Experience in building dashboards in Tableau or an equivalent tool, with the ability to produce well-designed interactive dashboards and automated reports

                                • +
                                • Proven experience working with complex data sources and various data types to develop robust data foundations and production-grade data products

                                • +
                                • Ability to translate complex business requirements into a set of data ingestion pseudocode

                                • +
                                +

                                +

                                What would be nice to have?

                                +
                                  +
                                • Experience with Salesforce

                                • +
                                • Experience with SAS programming

                                • +
                                • Experience working in a large financial services organization

                                • +
                                • Knowledge of fundamental statistical models & techniques

                                • +
                                +

                                +

                                What are the unique requirements?

                                +
                                  +
                                • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct minimum 5-year history checks)

                                • +
                                • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)

                                • +
                                +

                                +

                                What’s in it for you?

                                +
                                  +
                                • Great Place to Work® Certified in Canada and the US - 2022

                                • +
                                • Great Place to Work® award for Best Workplaces for #HybridWork - 2022

                                • +
                                • Named “Best Places to Work” by Glassdoor - 2021

                                • +
                                • Canada Award for Excellence for Mental Health at Work - 2021

                                • +
                                • Flex hours and Flexible hybrid work model including in-country work-from-home if you prefer. #LI-Hybrid, #LI-Remote

                                • +
                                • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.

                                • +
                                • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives

                                • +
                                +

                                +

                                +

                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                +

                                +

                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                +

                                +

                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                +

                                +

                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                +

                                +

                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                +

                                +

                                Salary Range:

                                74,100/74 100 - 120,800/120 800

                                +

                                Job Category:

                                Advanced Analytics

                                +

                                Posting End Date:

                                02/05/2023
                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Analyst_JR00078475?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f?utm_source=Vector_Institute,info@sunlife.ca,https://www.sunlife.ca/ca/Careers,,,2023-05-04T17:46:03.422Z,False,0,3,16,https://talenthub.vectorinstitute.ai/jobs/217075525-senior-data-analyst-at-sun-life-financial,,expired,2023-04-20T17:41:00.000Z,import-xml-feed:Sunlife-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,No Degree,New Posting, +d3e5e993-b597-4c7f-bfcf-0cf620ba495b,217073196,RBC,Reporting & Analytics Analyst,on_site,"Toronto, ON, Canada",2023-04-20T17:16:02.567Z,"
                                +

                                Come Work with Us!

                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                +

                                Job Title

                                Reporting & Analytics Analyst

                                +

                                +

                                Job Description

                                +

                                What is the opportunity?

                                +

                                +

                                You will support the delivery of analytical insights, develop and curate data assets, build dashboards and model data that will enable data driven decisions.

                                +

                                UKJERSEYWM

                                +

                                +

                                What will you do?

                                +
                                  +
                                • Develop, enhance and maintain the evolving Data Analytics data infrastructure in line with the business needs to support the overarching data strategy across the organisation

                                • +
                                • Identify, source, stage and model data using industry standard technologies and established development and operational practices as part of the end-to-end data lifecycle

                                • +
                                • Work with the business to identify and source data points across core platforms and processes for inclusion within the Data Analytics data repository

                                • +
                                • Ability to structure large disparate data sets to serve multiple functions and tailor the results for specific audiences, creating models to support investigation and analysis

                                • +
                                • Ability to create new and modify existing T-SQL scripts, stored procedures and SSIS packages to support new and regular reporting requirements Research, explore and understand business problems and reporting requirements to facilitate the design, development and deployment of solutions and dashboards, enabling end user self-service, incorporating drill-down functionality

                                • +
                                • Provide data driven and thought provoking insights to drive informed decision-making, transferring knowledge to stakeholders and enabling the business to use its data more effectively

                                • +
                                • Through the delivery of informative reporting solutions; support, inspire and educate end-users to use data more effectively to improve overarching data literacy across the organisation

                                • +
                                • Analyse, document and recommend improvements to existing business practices to capitalise on opportunities for automation, efficiencies and risk reduction to enhance capabilities and streamline end-to-end data related processes

                                • +
                                • Work in conjunction with Finance and Technology functions to understand the reconciliations process and flow of data across applications

                                • +
                                • Actively engage within the team and wider business areas to foster relationships and develop thought leadership Responsible for the design, development and ongoing maintenance of the scalable Data Analytics data infrastructure using the Microsoft SQL technology stack to serve as the foundational layer for analytics and insights, support and guide team on technical design and implementations

                                • +
                                • Adhere to and promote the the DevOps process to ensure that new or changes to existing source code or DB structure follow the agreed development and release processes and that all productionised code is adequately documented and reviewed

                                • +
                                +

                                +

                                What do you need to succeed?

                                +

                                Must-have

                                +
                                  +
                                • Proven experience with MS SQL Server

                                • +
                                • Sound understanding of relational database principals, guidelines and design

                                • +
                                • Extensive SQL query development experience

                                • +
                                • Familiarity and experience with data visualisation tools

                                • +
                                • Data management specialist with ability to mine data and predictive modelling

                                • +
                                • Advanced knowledge of, and experience in manipulating large disparate data sets from multiple sources in multiple formats

                                • +
                                +

                                +

                                Nice-to-have

                                +
                                  +
                                • Knowledge of Tableau

                                • +
                                • Experience with JIRA

                                • +
                                • Experience with GitHub

                                • +
                                • Knowledge of Agile project management principles

                                • +
                                +

                                +

                                What is in it for you?

                                +

                                +

                                We thrive on the challenge to be our best - progressive thinking to keep growing and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                +
                                  +
                                • Leaders who support your development through coaching and managing opportunities

                                • +
                                • Opportunities to work with the best in the field

                                • +
                                • Ability to make a difference and lasting impact

                                • +
                                • Work in a dynamic, collaborative, progressive, and high-performing team

                                • +
                                • Flexible working options fully supported

                                • +
                                • Hybrid Working

                                • +
                                +

                                +

                                +

                                +

                                +

                                +

                                +

                                +

                                +

                                +

                                Job Summary

                                +

                                Address:

                                100 BISHOPSGATE:LONDON

                                City:

                                GBR-GREATER_LONDON-LONDON, JEY-ST_HELIER-SAINT HELIER

                                Country:

                                United Kingdom

                                Work hours/week:

                                35

                                Employment Type:

                                Full time

                                Platform:

                                Wealth Management

                                Job Type:

                                Regular

                                Pay Type:

                                Salaried

                                Posted Date:

                                2023-02-16

                                Application Deadline:

                                2023-05-10
                                +

                                Inclusion and Equal Opportunity Employment

                                +

                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                ​​​​​​​
                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                +
                                +

                                Join our Talent Community

                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                +
                                ",,https://jobs.rbc.com/ca/en/job/R-0000049131/Reporting-Analytics-Analyst,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-05-04T21:34:00.000Z,False,0,16,35,https://talenthub.vectorinstitute.ai/jobs/217073196-reporting-analytics-analyst-at-rbc,,expired,2023-04-20T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Associate,No Degree,New Posting, +76d58785-c376-45b9-87db-f2e720d44c73,219391614,TD Bank Group,Modelling/Forecasting Analyst,on_site,"Ottawa, ON",2023-04-27T17:24:02.326Z,"
                                +

                                Company Overview

                                +
                                +

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                +

                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                +
                                +

                                +

                                Department Overview

                                +

                                The Workforce Management (WFM) team is part of the North American Phone Channel Shared Services, providing ongoing support and leadership in the following specialty areas: Sales strategy, Customer and Employee Experience, Governance / Operating Solutions, Enterprise Workforce Management and Business Solutions. It is our high performing teams who create a passion for the customer experience and make North American Phone Channel Shared Services (NAPCSS) a great place to work. NAPCSS supports over a dozen lines of businesses, including all of the businesses in Canadian Personal Banking, Wealth, Direct Investing, TD Insurance, and US Contact Centre; driving superior solutions to enable a better Phone experience, and championing continuous improvement within the Phone network. We are supporters of a caring performance culture and leaders in great community spirit. NAPCSS offers a unique career opportunity to make an impact and build for the future. We seek individuals with a positive attitude who are driven to produce extraordinary results and would like to work in an environment that is fun, high energy, fast-paced, and collaborative.

                                +

                                +

                                Job Description

                                +
                                +

                                Reporting to the Manager, Delivery and Execution, the successful candidate will be responsible for the short-term operational support of forecasting for Service Level, FTE supply, expenses and efficiency for all Contact Center groups that fall within the North American Contact Center (NACC). In partnership with the Centers and Business Unit stakeholders, this role advises on high impact solutions / recommendations and strategies to close identified gaps in business performance while building strong capabilities that can be leveraged across the enterprise. This is a highly visible role and the candidate will have exceptional communication and relationship management skills, enabling seamless interactions with a broad range of stakeholders across the bank at varying levels of seniority.

                                +

                                PRIMARY RESPONSIBILITIES:

                                +
                                  +
                                • Deliver operational support to forecasting CoE Workforce Management activities, support long term demand/ capacity planning to accurately forecast business outlook across NACC
                                • +
                                • Partner with business stake holders and operations to provide support in sizing impacts of initiatives and provide recommendations for efficient solutions to deliver best in class customer experience.
                                • +
                                • Develop proposals and recommendations for that identify and profile high impact, forward looking strategies, along with action plans to maximize productivity and efficiencies
                                • +
                                • Execute on ad-hoc reporting for pre/post live day to provide detailed insights on business performance that is summarized in an easily understood output for all levels of leadership and understanding of workforce metrics
                                • +
                                +
                                  +
                                • Lead/support weekly interactions with the senior leadership teams for the businesses we support in NACC
                                • +
                                • Demonstrate resiliency under pressure
                                • +
                                +

                                KEY RELATIONSHIPS:

                                +
                                  +
                                • Reports to Manager, Forecasting
                                • +
                                • All WFM COEs (Scheduling, Demand/Capacity forecasting, Intake Analysts, and Business Partners)
                                • +
                                • Daily working relationships with all level of TDBG
                                • +
                                +
                                +

                                +

                                Requirements

                                +
                                  +
                                • Minimum 3-5 years’ experience in a Contact Center environment
                                • +
                                • Hands-on experience and knowledge of Workforce Management systems & process is recommended
                                • +
                                • Strong communication skills with an ability to present concepts and research to senior audiences with clarity and confidence
                                • +
                                • Strong organizational skills with a proven ability to multitask
                                • +
                                • Exceptional analytical skills with specific attention to detail
                                • +
                                • Driven to continual improvement of processes and working environment
                                • +
                                • Proficient with MS Office Suite
                                • +
                                • Ability to quickly learn new technology/software/systems
                                • +
                                • Enjoys working in an agile, fast pace and collaborative environment
                                • +
                                +

                                +

                                Additional Information

                                +
                                +EDUCATION & WORK EXPERIENCE:

                                +
                                  +
                                • A post-secondary degree in business, economics, data sciences, or other related fields of study
                                • +
                                • 3-5 years of experience in workforce management, planning and/or data management analytics
                                • +
                                • Experience with database management and/or visualization software such as Tableau, Power BI, MS SQL, PHP, Python, R etc. is an asset and recommended
                                • +
                                +
                                +

                                +

                                Hours

                                +
                                37.5
                                +

                                +

                                Inclusiveness

                                +

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                +

                                +
                                ",,https://jobs.td.com/en-CA/jobs/18207339/modelling-forecasting-analyst-ottawa-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-08T20:33:00.000Z,False,0,3,12,https://talenthub.vectorinstitute.ai/jobs/219391614-modelling-forecasting-analyst-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18207339/modelling-forecasting-analyst-ottawa-ca/,expired,2023-04-27T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +ca2a06e3-f444-49cb-9fad-4f03fc770a4a,220633258,Clearpath,Robot Platform Software Developer/Engineer,on_site,"Ontario, Canada",2023-04-30T17:42:03.020Z,"

                                Description

                                +

                                Position: Robot Platform Software Developer/Engineer
                                Location: Kitchener, Ontario
                                Job Type: Full-Time Permanent
                                Experience: 3+ years
                                Education: Bachelor\'s degree in Mechatronics, Systems, Electrical Engineering, or a related field
                                Division: OTTO Motors

                                +

                                About OTTO™ Motors (Division of Clearpath Robotics)

                                +

                                OTTO™ Motors is a growing, disruptive company, making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self-driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit www.ottomotors.com.

                                +

                                +

                                About the Job

                                +

                                The Platform team is responsible for integrating the Hardware and Software of OTTO Mobile Autonomous Robot platforms. You are a true Mechatronics engineer, with a focus primarily on the software side of things including bare metal firmware, device drivers for external components, and application layer components. You will lead in developing the software components to make our robots function, and easily diagnose issues. You will exemplify a proper Software Development Life Cycle from beginning to end and contribute to every aspect of it. Your code will ultimately run on the robots and control mission-critical functionality such as battery management, sensor drivers or motor command output. Any failure could have catastrophic consequences.

                                +

                                You will be involved with the initial proof of concept and bring-up of new robot hardware platforms, integrating the hardware with the autonomous software. You will be responsible for the controls system architecture and design of new and existing industrial self-driving vehicles. Design challenges will span from high-level system architecture, integration, programming, and field testing. You have no problem deducing hardware issues from software logs. You will need to be aware of functional safety implications in an industrial environment, and how to implement and verify safety functions.

                                +

                                +

                                Your primary responsibilities will be:

                                +
                                  +
                                • Architect, design and implement custom software, ranging from low-level robot control firmware, PC drivers for external controllers, and enhanced interactive diagnostics using C/C++ and Python
                                • +
                                • Prototyping and Bring-up of new Mechatronic platforms
                                • +
                                • Integrating complex electronics and control systems with Autonomous Software
                                • +
                                • Documentation of system-level architectures, and contributing to knowledge bases for triaging and debugging complex issues
                                • +
                                • Coordination of feature requirements between Software, Hardware, and Production teams
                                • +
                                • Providing expert level debugging of our robots to support Client Success, Field Services, and internal Test and Manufacturing teams
                                • +
                                +

                                +

                                Required Skills:

                                +
                                  +
                                • Bachelor\'s degree in Mechatronics Engineering, Systems Engineering, Electrical Engineering, or a related field with applicable background
                                • +
                                • 3+ years of experience working with C++ and/or Python
                                • +
                                • Experience writing robust, efficient, high performance code
                                • +
                                • Strong electronics and mechatronics prototyping and debugging skills (breadboarding, oscilloscopes, multimeters)
                                • +
                                • Experience of hands-on troubleshooting of electronic and electromechanical systems
                                • +
                                • Understanding of sensors and actuators and their error modes, especially motor controllers
                                • +
                                • Able to perform root-cause analysis of hardware and software issues from data logs
                                • +
                                • Familiarity with Linux (Debian based distributions)
                                • +
                                • Excellent teamwork and communication skills
                                • +
                                • Ability to independently develop software development plans, including timelines and test procedures
                                • +
                                • Past experience participating in development or deployment projects that have gone terribly wrong
                                • +
                                +

                                +

                                Bonus Skills:

                                +
                                  +
                                • Knowledge of different approaches to the Software Development Lifecycle, especially the V-model
                                • +
                                • IT experience in networking, OS configuration and troubleshooting, drivers
                                • +
                                • Experience working with different field buses, especially CAN and Ethernet-based
                                • +
                                • Experience with industrial electrical design and troubleshooting
                                • +
                                • Working knowledge of aspects of mobile robotics such as perception, planning, controls, and navigation
                                • +
                                • Familiarity with industrial material handling vehicles, such as AGVs, AMRs, SDVs, forklifts, tuggers etc.
                                • +
                                • Experience with ROS (Robot Operating System)
                                • +
                                • Familiarity with software version control and CI/CD tools, such as Git, Jenkins and Gitlab
                                • +
                                • P.Eng Accreditation attained or in-progress
                                • +
                                +

                                At Clearpath, we are committed to building and supporting a culture of diversity, inclusion, and accessibility. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, veteran status, sex, sexual orientation, gender identity, and expression. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                                ",,http://jobs.jobvite.com/clearpath/job/odNRmfwX,feed-importer@jobboard.io,,,,2023-05-08T20:36:00.000Z,False,0,3,10,https://talenthub.vectorinstitute.ai/jobs/220633258-robot-platform-software-developer-engineer-at-clearpath,,expired,2023-04-30T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Manufacturing ,Mid-Senior Level,Bachelors Degree,New Posting, +d4697103-44a7-4893-a7e6-6d4974b1c66a,236958270,Vector Institute,AI Project Management Intern,on_site,"Ontario, Canada",2023-06-17T02:12:03.426Z,"

                                AI Project Management Intern

                                +

                                POSITION OVERVIEW

                                +

                                The AI Project Management Intern will have the opportunity to gain real-world experience in project management of AI projects at a leading research institute, the objectives of which are to help our industry sponsors develop, deploy, and scale the applications of AI within their companies. Reporting to a Vector Project Manager, you will provide project management and project delivery support and play a key role in ensuring the goals of the Industry Innovation work stream are met.

                                +

                                Start date: September 11, 2023

                                +

                                End date: December 22, 2023

                                +


                                +

                                APPLIED INTERNSHIPS AT VECTOR

                                +

                                The applied internship program at Vector provides relevant, hands-on learning and work experience in machine learning and AI. During the paid internship, interns will have the opportunity to attend research, recruitment, and commercialization talks at Vector and connect with key stakeholders in the ecosystem. Applied internships may be full-time (36.25 hours per week) or part-time (20 hours per week) over the Fall academic term (September 11 - December 22, 2023) with an opportunity to continue over the Winter 2023 academic term. We welcome applications from all qualified candidates. Consistent with Vector’s goals in this program to relieve disadvantage and alleviate the under-representation of Black and Indigenous people in AI, and to attempt to achieve equal opportunity in the field of AI, preference in hiring will be given to qualified Black and Indigenous persons, studying at or having recently graduated from a Canadian post-secondary institute, who self-identify as such in the application process. This initiative is designed to meet the criteria of a special program under the Ontario Human Rights Code.

                                +


                                +

                                KEY RESPONSIBILITIES

                                +
                                  +
                                • Assist in the design, development, and management of AI Projects for Industry, creating and updating project plans, supporting the identification of interesting use-cases, contributing to sort-out logistic challenges, and work on a range of project deliverables (e.g., business cases, executive roadmaps, etc);
                                • +
                                • Facilitate discussions on the applications of AI techniques and identification of potential contributors in the broader ecosystem;
                                • +
                                • Support project support functions such as coordinating meetings with sponsors and stakeholders, preparing meeting materials (slides, briefing notes), preparing minutes, tracking action items and following up with meeting participants;
                                • +
                                • Provide research and analysis support such as synthesizing findings from research papers, reports and whitepapers, conducting literature reviews, writing reports and other pieces to distribute knowledge;
                                • +
                                • Perform quantitative and qualitative analysis; and,
                                • +
                                • Other duties as assigned.
                                • +
                                +

                                PROFILE OF THE IDEAL CANDIDATE

                                +
                                  +
                                • You are a student or postdoctoral fellow studying at a Canadian post-secondary institute (university or college) or a recent graduate (within 1 semester of graduation).

                                • +
                                • You are motivated to apply machine learning techniques to real-world problems.

                                • +
                                • You have experience developing, refining, and deploying machine learning models to problems outside of the research/academic sector; experience in project management considered an asset.

                                • +
                                • You understand the limits and constraints associated with data usage (e.g., related to ability to access and/or link sensitive data, privacy concerns, challenges associated with unstructured or unlabelled data).

                                • +
                                • You are a good communicator who is interested in helping non-technical professionals to understand machine learning and other AI techniques.

                                • +
                                • You are organized and efficient, with strong problem-solving skills.

                                • +
                                • You are creative, resourceful and with a strong intellectual curiosity, and enjoy collaborating within a small entrepreneurial environment that is results-driven.

                                • +
                                • You possess a positive attitude, integrity, a sense of humor, and bring a positive energy and outlook to a not-for-profit corporate culture.

                                • +
                                • You are motivated by continuous learning and the opportunity to make a difference and a real contribution to the AI ecosystem.

                                • +
                                • Your familiarity with GSuite and/or MS Office 365 applications would be an asset.

                                • +
                                +


                                +

                                Compensation: $25/hour.

                                +


                                +

                                If you have any questions, please contact internships@vectorinstitute.ai.

                                +


                                +

                                Please address applications (cover letter and resume) to Taylor Walker, Specialist, Internships & Work Integrated Learning, using the link provided. The deadline for submission is June 19, 2023, at 1:00PM EDT. We thank all applicants for their interest in this exciting opportunity and will be in touch with those whose qualifications most closely match with our needs. Please note that all interviews are currently being held remotely.

                                +

                                At the Vector Institute, we are committed to driving excellence and leadership in Canada’s knowledge, creation, and use of AI to foster economic growth and improve the lives of Canadians. We strive for greater inclusion in the programs and culture that we build by welcoming and encouraging applications from all qualified candidates. In order to relieve disadvantage and alleviate the under-representation of Black and Indigenous people in AI, and to attempt to achieve equal opportunity in the field of AI, priority in hiring will be given to qualified Black and Indigenous persons, studying at or having recently graduated from a Canadian post-secondary institute, who self-identify as such in the application process. This initiative is designed to meet the criteria of a special program under the Ontario Human Rights Code.

                                +

                                If you require an accommodation at any point throughout the recruitment and selection process, please contact hr@vectorinstitute.ai and we will happily work with you to meet your needs.

                                ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=9200420850870_2&jobId=448361&lang=en_CA&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2023-06-22T19:57:00.000Z,False,0,4,24,https://talenthub.vectorinstitute.ai/jobs/236958270-ai-project-management-intern-at-vector-institute,,expired,2023-06-17T02:12:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Internship/Co-op,Bachelors Degree,New Posting, +2ec90c25-5381-4573-8178-e4bd5aa50f7b,228136419,Scotiabank,"Director, Model Owner - Retail & Small Business Forecasting",on_site,Canada : Ontario : Toronto,2023-05-22T15:52:02.513Z,"

                                +

                                +

                                +

                                +

                                Requisition ID: 178348

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                +

                                Overview:

                                +


                                The world is changing faster than ever and so are we!

                                +

                                +

                                “Big data”, “machine learning” and “AI” are not just buzzwords; they are an ever-increasing part of our daily life. We have decades of data powering hundreds of models deployed across a multitude of systems that are crying out for smart talented team players who are results-oriented, embrace transformational challenges and relish the opportunity to help us turn our vision into reality.

                                +

                                +

                                Our goal is to be nothing less than The Leading Bank in The Americas by putting Customers First. Achieving this requires a Winning Team that can build, manage and govern stable high-performing models and provide our business partners with the best analytic insights and advice possible. To put things in perspective, the models that we build underpin automated risk-management decisions and forecasts that impact millions of customers and keep hundreds of $billions safe every single day.

                                +

                                +

                                What Are We Looking For?

                                +


                                We want talented pragmatic analytically oriented leaders who are equally at home amongst neural networks as they are translating complex issues into concise communications and directions. We want advanced analysts / data scientists who come armed with not only strong statistical, programming and data engineering skills but also a bottomless sense of curiosity about everything (great models and analytics are about so much more than just the numbers!), a passion for getting things done right the first time and a deep sense of personal and professional accountability.

                                +

                                +

                                To be a Director in Retail and Small Business Models & Analytics, it isn’t enough to just be a great model developer (though that is incredibly important as well); you have to want to be an owner who embraces both the accountability (i.e., “the buck stops here”) and responsibilities that come with ownership. Working with internal customers (stakeholders) across the bank to understand and translate their needs (for accurate optimized forecasts) and questions (qualitative and analytic alike) into outcomes and answers, exploring both novel and legacy data sets / methodologies, collaborating with technology partners to get things implemented flawlessly, and monitoring, tuning up (when necessary), and governing the models that you “own” will all be equally important. The types of Directors we are looking for are player-coaches (an interest in teaching & mentoring is essential!) who relish the idea of running their own “model factory” and everything that comes with it.

                                +


                                Make an Impact

                                +

                                As a director, you will report directly to the VP of Retail and Small Business Models and Analytics and be a critical member of the global leadership team. You will be accountable for – from conception through execution and governance – the capital estimation, optimization and forecasting models covering The Bank’s retail and small business product lines. You will collaborate, on a regular basis, with a wide range of stakeholders and internal partners including Model Operations, Capital Management, Provisioning, Product, Risk Strategy & Risk Management, Model Validation and Governance, Technology & Data, Finance, Legal, Compliance and Audit.

                                +

                                +

                                Your team will have access to both traditional SAS tools / SQL databases / Hadoop clusters and a modern machine learning stack that includes both public and on-premise private cloud computing, open source Jupyter development environments, and data visualization business intelligence tools.

                                +

                                +

                                Under your guidance, your team of risk modeling and business analysis experts will use these tools to develop and run advanced risk prediction and forecasting models that will be used to help manage tens of $billions of capital and exposures, every day and therefore need to be not only accurate and precise, but highly stable, explainable, compliant, secure and useful. You will be responsible for setting priorities, leading by example, getting deep-in-the-weeds, coaching, mentoring and ultimately, delivering results.

                                +

                                +

                                Is This Role Right for You?

                                +
                                • You believe, first and foremost, in always doing the right thing and doing things the right way
                                • You are both deeply curious and highly pragmatic
                                • You know when to be doer, when to be a teacher and when to be a leader
                                • You are comfortable setting ambitious but realistic goals and are committed to achieving them
                                • You can read complex and lengthy regulatory requirements and identify opportunities for optimization while always remaining committed to compliance excellence
                                • You understand what PDs, LGDs and EADS really are, from the ground up, and can model them precisely for any product (while knowing how to statistically account for sources of uncertainty)
                                • You have a genuine love, passion and talent for programming, data, and predictive modeling
                                • You are comfortable initiating conversations and collaborating with diverse personalities both internally (colleagues across the business) and externally (vendors)
                                • You are committed to quality in everything you do – statistically, process and governance wise
                                • You can evaluate situations, derive insights, synthesize results and communicate high-quality recommendations effectively, both verbally, and in writing
                                • You are professional, motivated AND FUN. We mean it.
                                • +
                                +

                                +

                                What Do You Need to Succeed?

                                +


                                General

                                +
                                • Bachelor’s Degree in Mathematics, Physics, Engineering, or an equivalent technical field
                                • A demonstrated history of analytic problem solving and sound judgment
                                • Experience as both a manager and leader with a track record of accomplishments overseeing cross-functional teams
                                • Strong English-language verbal and written communications skills: the ability to distill abstract business requirements into actionable analysis, concisely convey technical outcomes, tell a story visually with data, prepare and edit regulatory-quality documentation and be accepted as a trusted advisor by senior executives
                                • Excellent project, process & time management
                                • Able to work remotely and on-site on multiple projects simultaneously and meet deadlines
                                • +
                                +

                                ​​​​​​​

                                +

                                Technical

                                +
                                • Strong fundamental understanding of statistics
                                • Highly proficient in 2+ analytical programming languages (SAS, Python, R, etc.), SQL (Teradata, Oracle, DB2, SQL Server), and multiple environments (Unix & Windows)
                                • 2+ years of experience with big data platforms / integration (Hadoop, Spark, Hive, Avro)
                                • +
                                +

                                +

                                Nice to Have’s

                                +
                                • Proficient reading, writing and speaking Spanish
                                • MBA or other business / management degree
                                • FRM, CFA credentials
                                • Extensive knowledge in forecasting / risk models / scorecards, best practices and governance
                                • Experience training and deploying machine learning models using common Python open source frameworks (i.e., scikit-learn) and/or Python DevOps
                                • Experience with public cloud infrastructure (GCP, Azure, AWS)
                                • Microsoft Office (Excel, Word, PowerPoint, Teams, PowerBI, Project) power user
                                • +
                                +

                                +

                                What’s In It for You?

                                +
                                • We have an inclusive and collaborative work environment that values curiosity & ownership, encourages pragmatic creativity (i.e. true innovation), and celebrates success!
                                • You'll get to work with and learn from an incredibly friendly and diverse group of accomplished leaders
                                • Access to thousands of online and in person courses so you can brush up on skills, or learn new ones
                                • Multiple career paths and innumerable progression opportunities. We hire you for your talent and not just for the job. We want to see you succeed not just in your role but in your career as a whole
                                • A competitive rewards package that includes a base salary, a performance bonus, company matching programs on pension and profit sharing, paid vacation, personal & sick days, medical, vision and dental benefits that start from day one and much more!
                                • +
                                +

                                +

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Director%2C-Model-Owner-Retail-&-Small-Business-Forecasting/570497817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-22T19:53:01.322Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/228136419-director-model-owner-retail-small-business-forecasting-at-scotiabank,https://jobs.scotiabank.com/job/Director%2C-Model-Owner-Retail-&-Small-Business-Forecasting/570497817/,expired,2023-05-22T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Director,Bachelors Degree,New Posting, +33efc8c5-4627-45f3-b6fc-11cb5b655d57,235578626,Google,"Student Researcher, MS, 2023",on_site,"Toronto, ON, Canada",2023-06-12T15:51:02.676Z,"

                                Minimum qualifications:

                                +
                                  +
                                • Currently enrolled in a Master's degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences.
                                  +
                                • +
                                • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, etc.).
                                  +
                                • +
                                +

                                Preferred qualifications:

                                +
                                  +
                                • Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
                                • +
                                • Currently attending a degree program in Canada.
                                • +
                                • Experience as a researcher, including internships, full-time, or at a lab.
                                • +
                                • Experience contributing to research communities or efforts, including publishing papers in conferences or journals.
                                  +
                                • +
                                • Experience with one or more general purpose programming languages (e.g., C/C++, Java, MATLAB, Go, Python, etc.).
                                  +
                                • +
                                • Ability to speak and write in English fluently.
                                • +
                                +

                                About the job

                                +

                                The Student Researcher Program’s primary objective is to foster academic collaborations with students through research at Google. Join us for a paid Student Researcher position that offers the opportunity to work directly with Google research scientists and engineers on cutting-edge research projects.

                                +

                                The Student Researcher Program offers more opportunities for research students to work on critical research projects at Google in a less structured way. The program allows for opportunities beyond the limitations of our traditional internship program on aspects such as duration, time commitment, and working location (with options for on-site or remote). The topics student researchers work on tend to be open-ended and exploratory, and don't always have a clear deliverable like a traditional internship would.

                                +

                                Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.

                                +

                                Responsibilities

                                +
                                • Participate in research to develop solutions for real-world, large-scale problems.
                                ",,"https://careers.google.com/jobs/results/139843443313517254-student-researcher-ms-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-07-04T01:59:03.250Z,False,0,24,101,https://talenthub.vectorinstitute.ai/jobs/235578626-student-researcher-ms-2023-at-google,,expired,2023-06-12T15:51:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Masters Degree,New Posting, +9b1984da-08a5-45d2-b82f-1e5c9fee2aa1,232594927,BenchSci,"Engineering Manager, Machine Learning - Natural Language Processing (Remote)",full,"Toronto, Ontario Remote",2023-06-04T16:04:02.451Z,"
                                We are looking for an Engineering Manager, Natural Language Processing to join our growing Machine Learning team and will report to the Director of Engineering, Machine Learning. You will lead a team that works on challenging problems to have an impact on the 41,000+ scientists across the world who rely on BenchSci for their research. As an Engineering Manager, NLP and Deep Learning, you will manage planning and prioritization of upcoming work, coordinate multiple engineering teams, and coach team members. You will work closely with tech leads and scientists to evaluate priorities, spot potential problems before they occur, and support the team's technical roadmap with planned engineering investments. Our ideal candidate is flexible, supportive and knows when to step in and work hands-on with their team and when to lean out and direct.
                                +
                                +

                                You will:

                                +
                                    +
                                  • Execution: Own and drive execution of product and technical roadmaps. You will maintain and oversee the quality and output for everything your team provides
                                  • +
                                  • Management: Take a leadership role in our hiring and onboarding processes. You will mentor your team, guide their growth, and manage performance with fair, inclusive, and equitable practices
                                  • +
                                  • Technical: Work with technical leads and engineers to provide guidance on technical solutions, backup plans, trade-offs, and design. You will ensure your experienced team provides quality, ensuring they feel a culture of risk-taking, and can experiment to find the best solutions. You will work hands on when needed to support your team's delivery goals.
                                  • +
                                  • Processes: Work with Science, Web Apps, and Data Teams to define and improve processes across the company with growth in mind
                                  • +
                                +
                                +
                                +

                                You have:

                                +
                                    +
                                  • 4+ years working as a professional developer
                                  • +
                                  • 2+ years working as an engineering team manager
                                  • +
                                  • Experience hiring and building motivated engineering teams
                                  • +
                                  • Strong experience with Python and programming fundamentals
                                  • +
                                  • Extensive experience working with NLP (including NER) and PyTorch
                                  • +
                                  • Experience with data engineering and machine learning design patterns and best practices
                                  • +
                                  • Experience shipping machine learning into distributed, data-intensive production systems
                                  • +
                                  • Strong experience collaborating cross-functionally
                                  • +
                                  • Worked on projects that have gone from proof-of-concept through multiple maintenance stages
                                  • +
                                +
                                +
                                +

                                +

                                +
                                Benefits and Perks:
                                +
                                An engaging remote-first culture
                                +
                                A great compensation package that includes BenchSci equity options
                                +
                                15 days vacation plus an additional day every year; plus company closures for 15 more days throughout the year
                                +
                                Unlimited flex time for sick days, personal days, religious holidays
                                +
                                Comprehensive health and dental benefits Emphasis on mental health with $2500 CAD* for Psychologist, Social Worker, or Psychotherapist services
                                +
                                A $2000 CAD* Annual Learning & Development budget
                                +
                                A $1000 CAD* home office set-up budget
                                +
                                A $2500 CAD*wellness, lifestyle and productivity spending account for employees
                                +
                                Generous parental leave benefits with a top-up plan or paid time off options
                                +
                                *Benefits are tied to Canadian dollar amounts and would be converted to local currency for those in other countries. Moving to local currency allotments in the future.
                                +

                                +
                                About BenchSci:
                                +
                                BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
                                +
                                Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.
                                +

                                +
                                Our Culture:
                                +
                                BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
                                +
                                We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
                                +
                                You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
                                +

                                +
                                +Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
                                +

                                +
                                +Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com.
                                +

                                +
                                #LI-Remote
                                +
                                ",,https://jobs.lever.co/benchsci/c0c43041-28ab-4f31-a7b6-57d65f8419ff?utm_source=Vector%20Digital%20Talent%20Hub&utm_medium=job%20link&utm_campaign=Vector%20Digital%20Talent%20Hub,feed-importer@jobboard.io,,,,2023-07-05T19:46:57.497Z,False,0,2,56,https://talenthub.vectorinstitute.ai/jobs/232594927-engineering-manager-machine-learning-natural-language-processing-remote-at-benchsci,https://jobs.lever.co/benchsci/c0c43041-28ab-4f31-a7b6-57d65f8419ff,expired,2023-06-04T16:04:00.000Z,import-xml-feed:Scrapy-Scraper,Scaling (20-499),Application Click Through,Health,Manager,No Degree,New Posting, 39ba8f74-d102-43c9-9a7d-56a93cf1e240,192003395,OMERS,Senior Data Engineer (13 month contract),on_site,"Ontario, Canada",2023-02-02T17:42:02.781Z,"

                                @@ -346291,6 +354004,9 @@ f7e5df50-53b3-4798-912b-1d65983c4720,198987054,Scotiabank,"Manager, Campaign Des 84cd64bb-3a96-4680-8282-5f8f9df2d160,200305922,Shopify Inc.,"Senior Data Scientist - Revenue Acceleration, Recommendation",on_site,"Ontario, Canada",2023-02-28T17:42:06.575Z,"

                                About the role

                                The Revenue Acceleration Data Science team drives Shopify’s go-to-market machine with data and insights. The team’s mission is to increase Shopify’s revenue and profitability and the team\'s impact is grounded in experiment-based findings.

                                As a Senior Data Scientist, you will use elements of analytics, machine learning, experimentation, and build data products to increase Shopify’s revenue and profitability.

                                ",,https://www.shopify.com/ca/careers/senior-data-scientist-revenue-acceleration-recommendation-remote-americas_e47ef2d3-7198-437c-bac7-f92f57276ff9,feed-importer@jobboard.io,,,,2023-03-09T21:26:00.000Z,False,0,3,15,https://talenthub.vectorinstitute.ai/jobs/200305922-senior-data-scientist-revenue-acceleration-recommendation-at-shopify-inc,,expired,2023-02-28T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, +84cd64bb-3a96-4680-8282-5f8f9df2d160,200305922,Shopify Inc.,"Senior Data Scientist - Revenue Acceleration, Recommendation",on_site,"Ontario, Canada",2023-02-28T17:42:06.575Z,"

                                About the role

                                +

                                The Revenue Acceleration Data Science team drives Shopify’s go-to-market machine with data and insights. The team’s mission is to increase Shopify’s revenue and profitability and the team\'s impact is grounded in experiment-based findings.

                                +

                                As a Senior Data Scientist, you will use elements of analytics, machine learning, experimentation, and build data products to increase Shopify’s revenue and profitability.

                                ",,https://www.shopify.com/ca/careers/senior-data-scientist-revenue-acceleration-recommendation-remote-americas_e47ef2d3-7198-437c-bac7-f92f57276ff9,feed-importer@jobboard.io,,,,2023-03-09T21:26:00.000Z,False,0,3,15,https://talenthub.vectorinstitute.ai/jobs/200305922-senior-data-scientist-revenue-acceleration-recommendation-at-shopify-inc,,expired,2023-02-28T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Information and Media),Senior Level,Bachelors Degree,New Posting, 87e26e76-88b8-44bb-8cb6-a4c2e54aa062,193135725,EllisDon,Data Engineer,on_site,"Mississauga, ON L4Y1M4, CAN Mississauga, ON L4Y1M4, CAN",2023-02-05T17:39:01.894Z,"

                                Job Details

                                Description

                                Connect with us LinkedIn, Instagram, Facebook, Twitter

                                EllisDon is committed to being the safest general contractor. As part of our vaccine directive, we require employees to be fully vaccinated, or in the process of receiving the vaccine against COVID-19. Should you have any additional questions related to our vaccine directive as you move forward in the hiring process, please discuss this with our People & Culture team.

                                @@ -346537,6 +354253,55 @@ ab6fa230-525c-4b00-943a-0819e3cd9c0d,192665216,Scotiabank,"Senior Manager, Data

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Governance-and-Analytics-ON-M5H1A1/567715517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-03-09T16:40:56.149Z,False,0,1,10,https://talenthub.vectorinstitute.ai/jobs/192665216-senior-manager-data-governance-and-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Manager%2C-Data-Governance-and-Analytics-ON-M5H1A1/567715517/,expired,2023-02-04T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +e7f123cb-0852-4526-a751-a1bf403213f6,218282647,Google,"Software Developer III, Infrastructure, Google Cloud Platforms",on_site,"Toronto, ON, Canada",2023-04-24T17:20:02.934Z,"
                                +
                                +2023-04-20T19:01:01.089Z
                                +
                                  +
                                • Share
                                • +
                                  Save +
                                • +

                                Software Developer III, Infrastructure, Google Cloud Platforms

                                  +
                                • Google
                                • +
                                • In-office:
                                  + Waterloo, ON, Canada +
                                • +
                                +
                                +

                                Qualifications

                                +

                                Minimum qualifications:

                                +
                                  +
                                • Bachelor’s degree or equivalent practical experience.
                                • +
                                • 2 years of experience with software development in C++.
                                • +
                                • 2 years of experience with data structures or algorithms in either an academic or industry setting.
                                • +
                                +

                                Preferred qualifications:

                                +
                                  +
                                • Master\'s degree or PhD in Computer Science or related technical fields.
                                • +
                                • 2 years of experience building and developing large-scale infrastructure, distributed systems or networks, and/or experience with compute technologies, storage, and/or hardware architecture.
                                • +
                                • Experience developing accessible technologies.
                                • +
                                +
                                +
                                +
                                +

                                About the job

                                +

                                Google\'s software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We\'re looking for software developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our software developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

                                +

                                Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google\'s product portfolio possible. We\'re proud to be our engineers\' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

                                +

                                Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

                                +
                                +
                                +
                                +

                                Responsibilities

                                  +
                                • Write product or system development code.
                                • +
                                • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
                                • +
                                • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
                                • +
                                • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
                                • +
                                • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
                                • +
                                +
                                +

                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and Know your rights: workplace discrimination is illegal. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                                At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                                +
                                +
                                +
                                ",,"https://careers.google.com/jobs/results/126912536151761606-software-developer-iii-infrastructure-google-cloud-platforms/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-04-27T17:25:03.831Z,False,0,1,5,https://talenthub.vectorinstitute.ai/jobs/218282647-software-developer-iii-infrastructure-google-cloud-platforms-at-google,,expired,2023-04-24T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,New Posting, d4581324-19ab-434c-b3d0-2894ca3a2d7c,210223736,OMERS,"Director, Data Integration & Performance Platform",on_site,"Ontario, Canada",2023-03-30T17:42:05.285Z,"

                                @@ -346940,89 +354705,1266 @@ ee915a38-782a-416a-82ea-b740e0904bae,218284078,Sun Life Financial,Senior Busines
                                ",,https://careers.telus.com/job/Toronto-Manager%2C-Data-Engineering-ON/566444117/,feed-importer@jobboard.io,,,,2023-05-01T21:58:00.000Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/213974935-manager-data-engineering-at-telus,,expired,2023-04-10T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, -ad389f6c-ebf3-4b1f-a640-c3ba13b2b8d9,217073195,RBC,Senior Analytics Manager,on_site,"Toronto, ON, Canada",2023-04-20T17:16:02.462Z,"
                                +1b9accf4-f6b9-4596-873b-39a82e83382a,219393199,Borealis AI,Research Director,on_site,"Ontario, Canada",2023-04-27T17:27:02.383Z,"
                                +

                                What’s the opportunity?

                                +

                                Borealis AI is looking for a Research Director. The role includes directing a team of machine learning researchers and managing other research team leads with the goal of delivering AI-based products for the financial services industry. In addition, you will provide leadership and deliver on initiatives that improve the effectiveness of the entire research organization.

                                +

                                Your responsibilities include:

                                +
                                  +
                                • To join the Borealis AI research leadership team and shape the research organization as a whole and contribute to its overall performance.
                                • +
                                • To work with the Borealis AI business development team to identify viable artificial intelligence products that will add significant value to RBC stakeholders.
                                • +
                                • To lead a team of machine learning researchers delivering cutting edge AI technology to support these products.
                                • +
                                • To partner with Borealis AI’s product and engineering teams to ensure the seamless delivery of these products.
                                • +
                                • To manage other research team leads and provide guidance and support.
                                • +
                                • To help recruit, mentor and retain a high-performing research team across Borealis AI.
                                • +
                                +

                                You’re our ideal candidate if you have:

                                +
                                  +
                                • A Ph.D. degree in Computer Science or a related technical field;
                                • +
                                • 10 years of experience leading research teams in machine learning in a product-centric environment or equivalent experience;
                                • +
                                • A track record of successful people management including mentoring junior researchers and engineers, experienced high-performance researchers, and research managers;
                                • +
                                • Experience delivering successful high-impact machine learning products
                                • +
                                • Involvement across the research and development lifecycle, from prototyping to production, engaging with stakeholders to develop solutions that meet business needs;
                                • +
                                • Broad research interests and detailed knowledge of cutting edge machine learning techniques across multiple areas;
                                • +
                                • The ability to formulate and drive multiple research projects independently;
                                • +
                                • Exceptional communication and leadership skills;
                                • +
                                • A history of high quality academic publications (e.g., NeurIPS, CVPR, AISTATS, ICLR, ICML etc.) and community recognition for excellence;
                                • +
                                +

                                What\'s in it for you?

                                +
                                  +
                                • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                • +
                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                • +
                                • Ability to make a difference and lasting impact from a local-to-global scale
                                • +
                                +

                                About Borealis AI

                                +

                                Borealis AI, a RBC Institute for Research, is a research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                +

                                Inclusion and Equal Opportunity Employment

                                +

                                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                +

                                +
                                ",,https://www.borealisai.com/careers/?gh_jid=6466710002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-05-12T17:12:00.000Z,False,0,2,7,https://talenthub.vectorinstitute.ai/jobs/219393199-research-director-at-borealis-ai,,expired,2023-04-27T17:27:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Director,PhD,New Posting, +b66c43ef-d620-4bfb-b36a-d83cfaed0cb0,217991214,Borealis AI,Data Engineer,on_site,"Ontario, Canada",2023-04-23T17:27:01.479Z,"
                                +

                                What’s the opportunity?

                                +

                                We’re looking for an enthusiastic data engineer who’s excited by the opportunity of designing distributed systems to support applications at the forefront of machine learning technology. As a Data Engineer, you’ll be responsible for owning and delivering systems to efficiently acquire, prepare, and process data for state-of-the-art AI solutions that we build at Borealis AI.

                                Engineering plays a vital role at Borealis AI, turning our machine learning models into products that generate exponential business value. We understand the financial system we operate in, and we have the resources, knowledge and tools to improve it. Our team of 40+ engineers work with leading Machine Learning researchers to accelerate, build and deploy products that will enhance risk applications, reduce fraud, help millions of people manage cash flow, access credit and plan for their financial futures. In the finance sector, millions of people are counting on us to get it right.

                                +

                                Your responsibilities include:

                                +
                                  +
                                • Helping build a world-class AI platform for Borealis AI and RBC;
                                • +
                                • Designing and building data pipelines for Borealis AI projects;
                                • +
                                • Building efficient data systems and abstractions for Borealis AI projects;
                                • +
                                • Collaborating with research, engineering and business teams to model and deliver on their data needs.
                                • +
                                +

                                You’re our ideal candidate if you:

                                +
                                  +
                                • A bachelor’s degree in Computer Science, Software Engineering, or equivalent. A master’s or PhD in Data Systems sub-field is an asset;
                                • +
                                • 3+ years of software development experience in a high-responsibility, minimal-supervision environment;
                                • +
                                • Practical experience with all components of data requirements for ML systems ranging from data acquisition, storage, modelling and process, and serving in production systems;
                                • +
                                • Strong enterprise experience with data systems and infrastructure at scale;
                                • +
                                • Solid understanding of query optimization and modern data stack including Flink, dbt, spark, SQL engines, Parquet/Arrow, etc.;
                                • +
                                • Strong experience with writing modular, robust, scalable software in Python 3.x;
                                • +
                                • Strong communication skills and a collaborative attitude;
                                • +
                                • Hands-on experience deploying data systems in Cloud, AWS experience is an asset.
                                • +
                                +

                                What’s in it for you?

                                +
                                  +
                                • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
                                • +
                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
                                • +
                                • Leaders who support your development through coaching and managing opportunities;
                                • +
                                • Ability to make a difference and lasting impact from a local-to-global scale.
                                • +
                                +

                                About Borealis AI

                                +

                                Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

                                +

                                Inclusion and Equal Opportunity Employment

                                +

                                RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

                                +

                                +
                                ",,https://www.borealisai.com/careers/?gh_jid=6674710002,mi.research@borealisai.com,https://www.borealisai.com/en/careers/,,,2023-05-12T17:08:00.000Z,False,0,4,29,https://talenthub.vectorinstitute.ai/jobs/217991214-data-engineer-at-borealis-ai,,expired,2023-04-23T17:27:00.000Z,import-xml-feed:Borealis-AI-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +595f5d69-bde9-4a2c-98c8-67a0b1e5a562,236452209,Scotiabank,"Data Scientist, Financial Crimes Risk Management Models and Analytics - 12 Month Contract",on_site,Canada : Ontario : Toronto,2023-06-15T15:52:03.725Z,"

                                +

                                +

                                +

                                +

                                Requisition ID: 179463

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                +

                                Purpose of Job
                                We are seeking a highly analytical and skilled Data Scientist to join our team. The ideal candidate will have a strong background in data analysis, statistical modelling, and machine learning. The Data Scientist will be responsible for designing, enhancing, and implementing data-driven solutions supporting the Bank's AML/ATF Client Risk Rating models.
                                This role contributes to the overall success of Global Risk Management’s AML/ATF team by analyzing and improving client risk rating models thereby enhancing operating efficiency and is conducted in compliance with governing regulations, internal policies, and procedures.

                                +

                                Key Job Accountabilities
                                • Apply range of modeling techniques from basic statistical models to AI and Machine Learning, to develop, maintain and implement models for client risk rating case generation in support of Scotiabank’s AML/ATF program
                                • Creation and maintenance of documentation for models and for the results data analysis
                                • Collaborating and coordinating with teams from model validation, internal audit, and external audit to ensure that models meet all legal and regulatory requirements
                                • Communicate complex data findings and insights to technical and non-technical stakeholders
                                • Support the communication with first and second lines of business and other stakeholders, and recommending changes to AML/ATF client risk rating models as appropriate
                                • Support the communication with model users to ensure that model limitations are properly understood, and that models meet model governance/usage requirements

                                +

                                Skills, Experiences and Functional Competencies
                                • Experience with statistical modeling and data science methods; programming in Python (familiarity working with popular libraries for data science, machine learning, and visualization: such as Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn, ggplot2), querying using SQL or any SQL-like language is preferred, experience with Apache Spark is beneficial
                                • Experience with databases such as Oracle or SQL Server, as well as big data technologies such as Hadoop, Hive, Spark, or other distributed computing frameworks
                                • Experience with cloud-based infrastructure and tools, (specifically GCP) and either Linux and/or BitBucket is beneficial
                                • Nice to have experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch
                                • Strong communication (both oral and written) and collaboration skills, with the ability to work effectively in a hybrid team environment

                                +

                                Education and Other Requirements
                                • Bachelor’s degree or higher within STEAM, (science, technology, engineering, analytics, or mathematics), statistics, data science, artificial intelligence, computer science, computer engineering, financial modelling or related
                                • Fluency in both English and Spanish is preferred

                                +

                                +

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Data-Scientist%2C-Financial-Crimes-Risk-Management-Models-and-Analytics-12-Month-Contract/571299817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-26T15:57:02.883Z,False,0,11,24,https://talenthub.vectorinstitute.ai/jobs/236452209-data-scientist-financial-crimes-risk-management-models-and-analytics-12-month-contract-at-scotiabank,https://jobs.scotiabank.com/job/Data-Scientist%2C-Financial-Crimes-Risk-Management-Models-and-Analytics-12-Month-Contract/571299817/,expired,2023-06-15T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +4f269690-0cc3-4815-8e4a-25de032955b3,235604756,Roche,Finance Center of Excellence - Advanced Analytics Lead,on_site,"Mississauga, ON, Canada",2023-06-12T20:28:02.819Z,"

                                The Position

                                +

                                We are seeking a highly motivated and experienced Finance Advanced Analytics & Machine Learning Product Owner to join our team. This Product Owner will be responsible for driving and supporting (and in some cases, developing) our use cases and execution of Predictive Forecasting and Statistical Modeling capabilities to our Finance data that generates valuable insights to our organization. You will be working in an innovative, solution focused way, bringing your Finance subject matter expertise into an agile team approach, partnering closely with various functions in our global organization.

                                +

                                You need to be well versed in exploration of data and analytics, statistical modeling and predictive forecasting capabilities, and blending this with our core products in the Advanced Analytics space (R, Python, SAP Analytics Cloud, and others). You will be collaborating across Finance and with our Informatics and Shared Services Data Science organizations to execute in building a strategic approach to our Advanced Analytics capabilities for the Finance organization and our business stakeholders.

                                +

                                +

                                This role is for a Digital for Finance team member with extensive experience and subject matter expertise in Analytics in Finance in the Pharmaceutical or similar industry, with a comprehensive understanding of key financial processes and systems, organizational needs, and with a value focused approach.

                                +

                                +

                                The successful candidate will be responsible for:

                                +
                                  +
                                • Developing a deep understanding of the organization's financial data needs and identifying opportunities to leverage data to drive business outcomes.
                                • +
                                • Working closely with cross-functional teams, including data engineers, data analysts, and business stakeholders to define product requirements and drive the development of machine learning and descriptive, predictive and prescriptive analytics and use cases.
                                • +
                                • Defining and monitoring key performance indicators (KPIs) for our advanced analytics products to measure their effectiveness and impact.
                                • +
                                • Be a steward for digital capabilities, helping to identify and develop capabilities in the advanced analytics space from the finance perspective
                                • +
                                • Staying up-to-date with industry trends and best practices in advanced analytics and recommending changes to improve the organization's finance strategy in this area.
                                • +
                                +

                                +

                                Requirements:

                                +
                                  +
                                • Bachelor's degree in finance, accounting, or a related field; MBA preferred.
                                • +
                                • Minimum of 5 years of experience in finance, data analytics, or a related field.
                                • +
                                • Strong project management skills, including the ability to manage multiple projects simultaneously and prioritize tasks effectively.
                                • +
                                • Experience in the areas of core financial forecasting activities and processes
                                • +
                                • Experience in Advanced Forecasting, including familiarity with developing or supporting time-series or statistical forecast models
                                • +
                                • Experience in Advanced Data Analytics, including designing and/or delivering advanced quantitative data analyses leveraging large/complex datasets
                                • +
                                • Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
                                • +
                                • Strong analytical skills, with the ability to analyze complex data sets and draw insights that drive business outcomes.
                                • +
                                • Familiarity with agile development methodologies.
                                • +
                                +
                                  +
                                • Data & Analytics project implementation experiences that exploit the full capabilities (discover, design, implement and optimization)
                                • +
                                • Technology and Data savviness, passionate about latest technology trends and data driven mindset, innovative and curious mindset, with a passion for learning and teaching
                                • +
                                +

                                +

                                If you are passionate about finance, leveraging powerful advanced analytics technologies to drive actionable insights, and are looking for an exciting opportunity to make an impact in a dynamic and growing organization, we encourage you to apply for this position.

                                +

                                +

                                ** This role is NOT eligible for relocation**

                                +

                                +

                                Who we are

                                +

                                At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

                                +

                                +

                                Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche's truly innovative culture.

                                +

                                +

                                As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

                                +

                                +

                                Roche is an Equal Opportunity Employer.

                                ",,https://roche.wd3.myworkdayjobs.com/roche-ext/job/Mississauga/Finance-Center-of-Excellence---Advanced-Analytics-Lead_202306-113627,aitalent@vectorinsitute.ai,https://www.roche.com/careers.htm,,,2023-06-26T23:30:00.000Z,False,0,0,14,https://talenthub.vectorinstitute.ai/jobs/235604756-finance-center-of-excellence-advanced-analytics-lead-at-roche,,expired,2023-06-12T20:28:00.000Z,admin,Enterprise (500+),Application Click Through,Health,Mid-Senior Level,Bachelors Degree,New Posting, +fc5e24a5-d835-47dd-85fd-b6b19064e92c,231454915,Scotiabank,"Global Head, Data Security",on_site,Canada : Ontario : Toronto,2023-06-01T15:52:02.715Z,"

                                +

                                +

                                +

                                +

                                Requisition ID: 178751

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                +

                                Reporting to the CISO & Senior Vice President Information Security & Control, the Global Head, Data Security, will be responsible for leading a team of data security experts in implementing and deploying new and emerging data management and protection models, standards and technologies that are required to keep the Bank and its customers safe and secure globally.

                                +

                                +

                                Accountabilities:

                                +
                                • Design a proactive global data strategy that ensures data is properly secured regardless of its environment or where it’s located
                                • Design a data management model for how we model and manage unstructured data
                                • +Lead a team of data and cyber security technologists to implement and maintain new data security standards and technology across the Bank globally. Understand the content, usage, external governing regulations and how to implement solutions across all of the geographies in which Scotiabank operates.
                                  • Determine appropriate controls with key stakeholders
                                  • Procure technology according to the Bank’s Enterprise Delivery Framework
                                  • Budgeting, forecasting and financial oversight of the total cost of new technology implementation
                                  • Ensure that we stay current and aligned to the market and dynamic regulatory changes over data residency
                                  • Evaluate external data management practices to ensure that third parties are appropriately protecting Bank data
                                • Provide strategic direction to the team to identify, manage and manipulate data that enables prompt identification of abnormal activity that could indicate an active internal or external threat to the Bank
                                • Partner with the Data and Analytics team to understand and influence the sensitivity and classification of business data to ensure that it is appropriately protected regardless of where it is stored.
                                • Partner with the Privacy Office and Compliance teams globally to ensure that we are meeting country-specific requirements.
                                • Provide data domain expertise to the cyber strategy by developing roadmaps to represent current and future state
                                • Champion innovative and proven data protection approaches and create cross-bank awareness across Digital Factories; Architecture and Engineering teams, Global Technology Services, Data and Analytics, Information Security & Control and other key stakeholders to implement and operationalize new data security technologies which will reduce the invested effort before discovering a problem
                                • Represent the bank and partner with new and emerging technology vendors, including Venture Capital partnerships, which will benefit the bank (Examples include RiskIQ, Team8/Sygnia, etc.)
                                • Keep abreast of new technologies and maintain the data security component of the Cyber Security roadmap.
                                • Continually research and explore opportunities to simplify processes and technologies and associated costs, and continuously evaluate our existing processes and toolsets against best-in-class alternatives.
                                • Maintain deep communications and positive external relations across the cyber/ financial industry.
                                • Directs day-to-day activities in a manner consistent with the Bank’s risk culture and the relevant risk appetite statement and limits. Communicates the Bank’s risk culture and risk appetite statement throughout their teams.
                                • Creates an environment in which his/her team pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank’s Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk.
                                • Builds a high-performance environment and implements a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment and using a coaching mindset and behaviours; communicating vison/values/business strategy; and, managing succession and development planning for the team.
                                • +
                                +
                                +
                                +
                                Education & Experience :
                                +
                                +
                                • Expert knowledge of data security solutions, data models, systems architectures, operational models, security techniques and standards such as NIST and the MITRE ATT&CK framework
                                • Five plus years experience leading large, global teams, and 10+ years in data or Cybersecurity roles
                                • Proven ability to engage and influence multi-disciplinary Executive Stakeholders
                                • +
                                +

                                #LI-Hybrid #cyberatscotia

                                +
                                +

                                +

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Global-Head%2C-Data-Security/570669417/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-06-29T19:28:00.000Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/231454915-global-head-data-security-at-scotiabank,https://jobs.scotiabank.com/job/Global-Head%2C-Data-Security/570669417/,expired,2023-06-01T15:52:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Director,No Degree,New Posting, +0c03a72c-77ad-42b2-b2a9-b9b4db97be16,218284099,Clearpath,Staff Perception Developer - Localization and Mapping,on_site,"Ontario, Canada",2023-04-24T17:42:02.687Z,"

                                Description

                                +

                                Position: Staff Perception Developer - Localization and Mapping
                                Location: Kitchener, Ontario
                                Job Type: Full-Time Permanent
                                Experience: 5-10 Years Relevant Work Experience
                                Education: Graduate Degree in a related field
                                Division: OTTO Motors

                                +


                                About OTTO Motors, a division of Clearpath Robotics

                                +

                                At OTTO Motors, we believe material handling is one of the most dangerous and unproductive parts of modern industrial operations. Our mission is to create safer, more productive and fulfilling workplaces with autonomous material handling technology. Most recently, OTTO Motors was recognized among the top 1% of Canada’s highest-performing global private companies by Communitech. Our loyal customers are also the most recognizable brands in the world and trust OTTO Motors to fulfill their mission-critical material handling needs: General Electric, Toyota, Hershey, Caterpillar, Berry Global, and more. For more information about us, visit www.ottomotors.com.

                                +

                                About the Job

                                +

                                We\'re looking for a driven, resourceful, motivated candidate for the Staff Perception Developer - Localization and Mapping position. This person will take a leading role in development of the next generation of perception algorithms to tackle the toughest challenges in localization and mapping, state estimation, computer vision and more.

                                +

                                The localization and mapping team’s primary responsibility is the development of the core robotics software responsible for environmental perception, mapping and localization on all our vehicles. You will be responsible for evaluating state-of-the-art ideas from academia and industry, and taking these ideas out of the lab and into the real world, identifying opportunities to improve, and developing high-performance software to run in real time on robots. As part of the perception team you will continue to advance the cutting edge of robotics research through collaboration with our academic partners and contributions to research publications and open source initiatives.

                                +

                                About You

                                +

                                For the role of Staff Perception Developer - Localization and Mapping, we are seeking an experienced developer and leader to drive the development of state-of-the-art localization and mapping solutions for real world applications.

                                +

                                Your primary responsibilities will be:

                                +
                                  +
                                • Design, architect, and lead the development of robust innovative solutions to the problems of robotic perception
                                • +
                                • Development of custom SLAM, localization, computer vision, and perception algorithms
                                • +
                                • Evaluation of new algorithms and sensing technology
                                • +
                                • Assisting with concept development for new products and projects
                                • +
                                • Supporting deployment and testing of robotic systems
                                • +
                                +
                                  +
                                • Collaboration with internal teams including controls and navigation, as well as academic and industrial partners
                                • +
                                • Stay up to the date with the latest developments from academia and industry
                                • +
                                +

                                Skills and experience:

                                +
                                  +
                                • Graduate degree in engineering/CS or a related field, with applicable background.
                                • +
                                • Strong practical and theoretical knowledge in at least one or more areas of: state estimation, computer vision, SLAM, localization, mapping, calibration or sensor modeling.
                                • +
                                • Strong software development skills in modern C++.
                                • +
                                • Understanding of software development workflows, life cycles and development methodologies and tools.
                                • +
                                • Excellent leadership, teamwork, and communication skills.
                                • +
                                • Ability to independently develop software development plans, including scope, timelines, and test procedures.
                                • +
                                • Hands-on experience with real world autonomous systems.
                                • +
                                +

                                Bonus points for:

                                +
                                  +
                                • Experience writing efficient, high performance code
                                • +
                                • ROS, Gazebo, OpenCV and PCL experience
                                • +
                                • Familiarity with graph optimization techniques and libraries such as Ceres, GTSAM and g2o
                                • +
                                • Understanding of sensor error modeling, particularly laser rangefinders and vision systems
                                • +
                                +

                                Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, gender identity/expression, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                                ",,http://jobs.jobvite.com/clearpath/job/ogf3mfwE,feed-importer@jobboard.io,,,,2023-05-24T20:16:41.911Z,False,0,2,13,https://talenthub.vectorinstitute.ai/jobs/218284099-staff-perception-developer-localization-and-mapping-at-clearpath,,expired,2023-04-24T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Manufacturing ,Mid-Senior Level,Masters Degree,New Posting, +0d40bd76-ce30-4803-8176-7cfeb9abd17f,226986709,NVIDIA,Solution Architect – Drug Discovery and AI,on_site,"Ontario, Canada",2023-05-18T16:15:03.616Z,"
                                +

                                Large language models are helping understand the language of biology and chemistry and fundamentally changing how drugs are discovered and developed. To advance these efforts we are looking for a Solutions Architect to work with life sciences customers in EMEA focused on accelerated drug discovery. At NVIDIA, our Solution Architects are drawn from elite developers and scientists who enjoy working with the latest in GPU hardware and software. NVIDIA’s platform for machine learning, deep learning and high-performance computing have already made a major impact on the healthcare domain and are used across leading pharmaceutical companies, device manufacturers, academic medical centers, and start-ups.

                                +

                                +

                                We need a passionate, hard-working, and creative individual to help us pursue more of these opportunities in the revolution that is happening in AI-powered drug discovery. As a Solution Architect, you will work with cutting-edge computing hardware and software as well as driving the latest breakthroughs in deep learning and artificial intelligence. This role requires becoming a trusted technical advisor and leader to our customers in pharma and biotech who believe that accelerated computing and artificial intelligence is a new computing revolution and has the potential to transform the entire domain. This role offers an excellent opportunity to expand your career while empowering the world\'s most successful companies and institutes. Join us in this exciting journey!

                                +

                                +

                                What you will be doing:

                                +
                                  +
                                • You will partner with our business/account team working with customers to develop a keen understanding of their goals, strategies, and technical needs and help define and deliver high-value solutions meeting these needs.

                                • +
                                • Staying up to date on the state of the art in your application domain and in the production deep learning and machine learning ecosystem. Your responsibilities will include enabling customer adoption of NVIDIA technology and driving positive relationships with our technology partners, making NVIDIA an integral part of end-user solutions.

                                • +
                                • Be a thought leader with vision on integrating NVIDIA technology into AI and HPC architectures for advanced applications, such as cheminformatics or drug discovery.

                                • +
                                • Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience across a range of technical areas.

                                • +
                                • Document what you know and teach others. This can vary from building targeted training for partners and other Solutions Architects, to writing whitepapers, blogs, and wiki articles, to simply working through hard problems with a customer on a whiteboard.

                                • +
                                • We make heavy use of conferencing tools, but some travel is required for this role. You are empowered to find the best way to get your job done and make our customers successful.

                                • +
                                +

                                +

                                What we need to see:

                                +
                                  +
                                • AI/ML expertise, MS or PhD (or equivalent experience) in Computational Biology, Computational Chemistry, Computational Physics, Chemical Engineering, Biophysics, or Computer Science with strong applied experience in these domains.

                                • +
                                • 5+ years of work-related experience in software development of deep learning methods for scientific applications.

                                • +
                                • Proven experience with Deep Learning software architecture and frameworks and application to scientific questions.

                                • +
                                • Full-stack scientific computing experience including software development in scientific programming languages, such as C/C++, Python, and/or CUDA.

                                • +
                                • Familiarity with containers, numerical libraries, modular software design, version control

                                • +
                                • Background in molecular modeling and life sciences.

                                • +
                                • Motivated self-starter with an equal balance of strong problem-solving skills and customer-facing communication skill.

                                • +
                                • Strong time-management and organizational skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.

                                • +
                                • Excellent communication skills particularly in the presentation of highly technical material. Must enjoy interacting with forward-thinking people, life-long learning, and staying at the cutting-edge of the domain

                                • +
                                +

                                +

                                Ways to stand out from the crowd:

                                +
                                  +
                                • Demonstrated work in Deep-learning-at-scale, cheminformatics, bioinformatics, drug discovery. Experience with molecular dynamics, docking, electronic structure methods, or major projects related to drug discovery are a plus

                                • +
                                • Background in CryoEM, Single cell sequencing or computational simulation is a plus

                                • +
                                • Experience in the pharmaceutical industry or with customers/partners in the pharmaceutical domain.

                                • +
                                • Background with accelerating scientific algorithms using parallel programming, e.g., using CUDA, OpenCL, or OpenACC.

                                • +
                                • Experience with distributed programming models for supercomputing applications, e.g., MPI.

                                • +
                                • Published record of thought leadership in a technical area or industry segment.

                                • +
                                +

                                +

                                NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We highly value diversity in our current and future employees.

                                +

                                +

                                +

                                +

                                +
                                ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/Germany-Munich/Solution-Architect---Drug-Discovery-and-AI_JR1966453-1,feed-importer@jobboard.io,,,,2023-05-25T16:20:03.878Z,False,0,6,25,https://talenthub.vectorinstitute.ai/jobs/226986709-solution-architect-drug-discovery-and-ai-at-nvidia,,expired,2023-05-18T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Product Development),Mid-Senior Level,Masters Degree,New Posting, +5b45ecf3-e0db-4f5c-a2e6-b5f5164e10f4,228138970,NVIDIA,Senior AI Solutions Architect,on_site,"Ontario, Canada",2023-05-22T16:15:05.381Z,"
                                +

                                NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Data Science focused Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL) and Data Science platforms. Exposure to inferencing technology (e.g., understanding of model compression techniques, model compilation or model serving) would be an added value. In our Solutions Architecture team, we work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence. We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone always thinking about artificial intelligence, someone who can maintain synergy in a fast paced, rapidly evolving field, someone able to coordinate efforts between corporate marketing, industry business development and engineering.

                                +

                                +

                                You will be working with the latest HPC architectures coupled with the most advanced neural network models, changing the way people interact with technology. As a Solutions Architect, you will be the first line of technical expertise between NVIDIA and our customers. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key executives and managers to evangelize accelerated computing. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns.

                                +

                                +

                                What You’ll Be Doing:

                                +
                                  +
                                • Develop and demonstrate solutions based on NVIDIA’s state-of-the-art AI and ML software and hardware technologies to customers.

                                • +
                                • Work directly with key customers to understand their technology and provide the best solutions.

                                • +
                                • Perform in-depth analysis and optimization to ensure the best performance on GPU architecture systems. This includes support in optimization of both training and inference pipelines.

                                • +
                                • Partner with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations.

                                • +
                                • Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures.

                                • +
                                +

                                +

                                What We Need to See:

                                +
                                  +
                                • Excellent verbal, written communication, and technical presentation skills in English.

                                • +
                                • MS/PhD in Computer Science, Data Science, Electrical/Computer, or equivalent experience Engineering, Physics, Mathematics, other Engineering fields

                                • +
                                • 5+ years of academic and/or industry experience in fields related to machine learning, deep learning and/or data science.

                                • +
                                • You are excited to work with multiple levels and teams across organizations (Engineering, Product, Sales and Marketing team)

                                • +
                                • You are a self-starter with attitude for growth, passion for continuous learning and sharing findings across the team.

                                • +
                                +

                                +

                                Ways to Stand Out from The Crowd:

                                +
                                  +
                                • Experience running large scale distributed DL training.

                                • +
                                • Background with working with larger transformer-based architectures.

                                • +
                                • Experience using DevOps technologies such as Docker, Kubernetes, Singularity, etc.

                                • +
                                • Understanding of HPC systems: data centre design, high speed interconnect InfiniBand, cluster storage and scheduling related design and/or management experience.

                                • +
                                +

                                +

                                +

                                +

                                +
                                ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/France-Courbevoie/Senior-AI-Solutions-Architect_JR1965794,feed-importer@jobboard.io,,,,2023-05-25T16:20:03.878Z,False,0,1,9,https://talenthub.vectorinstitute.ai/jobs/228138970-senior-ai-solutions-architect-at-nvidia,,expired,2023-05-22T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Product Development),Senior Level,Masters Degree,New Posting, +6749ea36-5429-4e4b-b380-a0b3d8bdcac3,219396172,EY,Senior Manager - Data Risk - Quality and Governance Management,on_site,Toronto,2023-04-27T17:37:02.506Z,"

                                Senior Manager - Data Risk - Quality and Governance Management

                                Location: Toronto
                                Other locations: Primary Location Only
                                Date: 18-May-2023
                                At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
                                +
                                +

                                We help the world’s largest financial institutions navigate the intricate regulatory environment to effectively manage and assess capital in support of their ongoing strategies. More than ever, financial institutions are investing in enhancing their capital management capabilities to make better business decisions, presenting us with the unique opportunity to rally together to solve our clients’ most complex challenges.

                                +

                                +

                                The opportunity

                                +

                                +

                                EY’s Financial Services Risk Management (FSRM) practice is a consulting unit that provides risk management support to banks, insurers and asset managers. Our team includes individuals who have industry, client and product knowledge as well as quantitative, regulatory, project management and technology professionals.

                                +

                                +

                                We are seeking a Senior Manager with minimum 10-years experience in Data Risk, Data Quality, and Data Governance Management acquired in the banking industry or in consulting services to join our team.

                                +

                                +

                                Your key responsibilities

                                +

                                +

                                As a Data Risk, Quality and Governance Management Senior Manager you will provide subject matter expertise on the design, development and implementation of data risk programs to help our clients proactively identify and manage risks related to their data. You will also provide subject matter expertise to help our clients improve the quality of their Finance and Risk Data through strong governance practices aligned to regulatory expectations.

                                +

                                +

                                You will develop materials, tools and methodologies to support client delivery, thought leadership and go-to-market activities (including conferences, client proposals, targeted campaigns). You will actively participate in business development activities to identify, generate and close new business opportunities.

                                +

                                +

                                You will be responsible for leading multiple client engagement teams, overseeing and managing the delivery team, and delivering high-quality services and deliverables to our clients based on industry leading practices, EY frameworks, and regulatory expectations for Data Risk, Quality and Governance Management.

                                +

                                +

                                This role provides the unique opportunity to build a professional network, tackle complex data issues, and provide thought leadership to shape the understanding and management of data risk, quality and governance management across industry leading clients and domains.

                                +

                                +

                                Additional responsibilities include:

                                +
                                • Helping clients establish data governance and risk programs to drive data ownership and stewardship into the client businesses
                                • Performing data governance reviews, designing target operating models, designing/implementing/assessing IT and data controls, performing data risk and data literacy assessments
                                • Conducting current state assessments, evaluating assessment results, and presenting findings in a logical and easy-to-understand manner (for both Data Risk and Data Governance Management)
                                • Conducting data quality and completeness certifications for finance and risk datasets and providing actionable recommendations (e.g., historical data certification of credit risk data)
                                • Assisting clients with setup of 3 LOD data risk management framework
                                • Assisting with data architecture reviews and advising on data solutions that pertain to data governance programs (data catalogue, data quality, business glossary, data tools/software, metadata management, master data management, lineage)
                                • Developing, leading, and implementing plans that will roll out the data management, governance and data risk management programs within the client organization
                                • Performing gap analyses to determine initiatives and build out roadmaps to address identified gaps focused on communication plans, governance structures, and investment prioritization for execution
                                • +
                                +


                                Skills and attributes for success

                                +
                                • Strong communication, presentation and writing skills to describe ideas, concepts and issues, analysis and assessment of complex conceptual topics
                                • Be self-motivated and passionate about data strategy, management, governance and risk
                                • Willingness to travel on short notice to Canadian clients (travel is expected to be less than 20%)
                                • +
                                +


                                To qualify for the role, you must have

                                +
                                • University degree required in finance, computer science, information systems, mathematics engineering, or a related discipline
                                • Bilingual skills in French and English are a strong asset
                                • 5+ years of experience developing data management and governance strategies
                                • 10+ years of experience in and understanding of concepts and frameworks pertaining to Data Management- Data Governance, Data Policy, Data Lineage, Data Quality, Data Risk and Control Frameworks, Data Literacy, Reference Data Management, Metadata Management
                                • Possess knowledge of frameworks, standards and regulatory requirements related to Data Governance, Data Management - BCBS239, CCAR, etc.
                                • Knowledge of SQL with experience operating in big data environments.
                                • Knowledge of Finance and Risk data sets including technology environment and infrastructure (e.g., data lakes, cloud storage, enterprise data warehouse, banking systems, etc.) at Financial Institutions
                                • Strong leadership experience within data management and governance
                                • Worked with or have an understating of EDM Council DCAM assessment or an alternative data maturity assessment; be certified in EDM Council DCAM Assessment
                                • Experience with data management tools such as Collibra, Informatica, etc.
                                • Advanced problem-solving skills, superior communication (verbal and written) with the ability to lead meetings, hold workshops with executives, communicate complex ideas effectively, advocate solutions and results to technology and business audiences
                                • Experience working independently, efficiently, and effectively under tight timelines and delivering results by critical deadlines
                                • Experience of Agile and traditional SDLC delivery methodologies
                                • +
                                +


                                Ideally, you’ll also have

                                +
                                • Prior consulting experience
                                • Demonstrated history of driving revenue within existing clients and in developing new prospects at the ""C"" level of Fortune 500 companies.
                                • +
                                +


                                What we look for

                                +

                                +

                                If you’re a natural leader with a talent for answering and communicating complex client problems, we’re interested in you. You’ll need to be great at influencing people, ready to listen and confident in challenging the status quo. If you have a genuine passion for helping businesses and addressing their most pressing problems, this role is for you.

                                +

                                +

                                What we offer

                                +

                                +

                                At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

                                +

                                +

                                We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you to decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

                                +
                                • Support and coaching from some of the most engaging colleagues in the industry
                                • Learning opportunities to develop new skills and progress your career
                                • The freedom and flexibility to handle your role in a way that’s right for you
                                • +
                                +

                                +

                                Diversity and Inclusion at EY

                                +

                                +

                                Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. From our actions to combat systemic racism and our advocacy for the LGBT+ community to our innovative Neurodiversity Centre of Excellence and Accessibility initiatives, we welcome and embrace the diverse experiences, abilities, backgrounds and perspectives that make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                                +
                                +
                                +
                                EY | Building a better working world
                                +
                                +
                                EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
                                +
                                +
                                Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
                                +
                                +
                                Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
                                ",,https://careers.ey.com/ey/job/Toronto-Senior-Manager-Data-Risk-Quality-and-Governance-Management-ON-M5H-0B3/902292901/,feed-importer@jobboard.io,,,,2023-05-28T03:11:12.749Z,False,0,3,12,https://talenthub.vectorinstitute.ai/jobs/219396172-senior-manager-data-risk-quality-and-governance-management-at-ey,https://careers.ey.com/ey/job/Toronto-Senior-Manager-Data-Risk-Quality-and-Governance-Management-ON-M5H-0B3/902292901/,expired,2023-04-27T17:37:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Senior Manager,Bachelors Degree,New Posting, +9f570b44-9a6b-4ebd-a66b-f04aee2a4563,204324024,CN,Expert Solution Design (Data engineering),on_site,"Ontario, Canada",2023-03-13T17:42:03.572Z,"
                                +

                                +

                                At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                +
                                +

                                Job Summary

                                +

                                The Expert Solution Design is responsible for building, managing, and optimizing data pipelines, moving them effectively into production for key data and analytics consumers, shaping the enterprise Data as a Service (DaaS) model and delivering on IT business models. The Expert Solution Design develops best practices and optimizes data pipelines to deliver products and services aligned with business expectations. The incumbent plays a pivotal role in operationalizing data and analytics initiatives, defining and building CN’s data integration and DaaS platform roadmap.

                                +

                                +

                                Main Responsibilities

                                Data Engineering

                                +

                                +

                                · Ensure optimal data delivery architecture and processes are consistent throughout ongoing projects

                                +

                                · Optimize CN’s data architecture to support the next generation of products and data initiatives

                                +

                                · Build, manage, and optimize data pipelines, moving them effectively into production for key data and analytics consumers such as business or data analysts and data scientists

                                +

                                · Build data and domain event models, implement business rules, and engineer scalable data pipelines

                                +

                                · Ensure compliance with data governance and security requirements while creating, improving and operationalizing integrated and reusable data pipelines

                                +

                                · Enable faster data access, integrate data reuse, and improve time-to-solution for data and analytics initiatives

                                +

                                · Integrate analytics and data science results with business processes

                                +

                                · Promote effective data management practices

                                +

                                +

                                Data Design

                                +

                                +

                                · Collaborate with stakeholders and architects to model data landscape and define secure data exchange approaches

                                +

                                · Meet with stakeholders to identify fit-for-purpose within CN’s existing data ecosystem and deliver options and agile solutions

                                +

                                · Design and develop processing pipelines that ingest data into Data Hubs

                                +

                                · Expose the data into meaningful formats, like GraphQL

                                +

                                · Provide day-to-day support and technical expertise to both technical and non-technical teams

                                +

                                · Participate in building data engineering expertise and framework

                                +

                                · Translate business needs into technical requirements

                                +

                                +

                                Data Development

                                +

                                +

                                · Acquire, ingest and process data from multiple sources and systems

                                +

                                · Design and develop Extract, Transform, and Load (ETL) pipelines using multiple sources of data in various formats

                                +

                                · Conduct metadata management, data cleansing and preparation

                                +

                                · Produce well documented quality codes

                                +

                                +

                                Data Operations - 10% +

                                +

                                +

                                · Use Agile methodologies to streamline project delivery aligned with goals, timelines, and budget

                                +

                                · Build monitoring and debugging tools to analyze data pipelines

                                +

                                · Help unify software development and operations seamlessly, efficiently, and cost effectively

                                +

                                · Improve software quality, automate processes, and accelerate software releases

                                +

                                +

                                Data Quality Assurance

                                +

                                +

                                · Use Agile development practices for code reviews and testing to develop and deliver data pipelines

                                +

                                · Develop and implement test plans and scripts for various data quality processes

                                +

                                · Maintain manual and automated test scripts

                                +

                                +

                                Working Conditions

                                +

                                +

                                The role has standard working conditions in an office environment with a regular workweek from Monday to Friday and offers remote work.

                                +

                                +

                                +

                                Requirements

                                Experience

                                +

                                +

                                Data Engineering

                                +

                                · Minimum 5 years of experience in a data engineering role, working in different data management disciplines including data integration, modelling, optimization and quality

                                +

                                · Experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental or multi-departmental data management and analytics initiative

                                +

                                · Experience with at least 2 of the following technologies: Python, Scala, SQL, Java

                                +

                                · Experience with Big Data technologies such as Hadoop, Hive, HBase, Spark, etc.

                                +

                                · Experience with Cloud and non-Cloud based Hadoop ecosystem

                                +

                                · Experience with Cloud platforms such as Azure, Google Platform or Databricks

                                +

                                · Experience with traditional data warehousing and ETL tools (Informatica, Talend, Pentaho, DataStage)

                                +

                                · Experience with Linux and shell scripting

                                +

                                · Experience deploying applications into production environments such as code packaging, integration testing, monitoring and release management

                                +

                                · Experience with multiple database technologies such as Distributed Processing (Spark, Hadoop, EMR), traditional RDBMS (MS SQL Server, Oracle, DB2, MySQL, PostgreSQL), NoSQL (MongoDB, DynamoDB, Cassandra)

                                +

                                · Experience working in an Agile team environment

                                +

                                +

                                Education/Certification/Designation

                                +

                                +

                                · Bachelor\'s Degree in Computer Science, Electrical Engineering or Software Engineering

                                +

                                · Master’s Degree or PhD in Data Management, Data Analytics, Information Systems, or a related quantitative field*

                                +

                                · Professional Engineer (P.Eng.) Degree*

                                +

                                · Google or Azure Data Engineering certification*

                                +

                                *Any designation for these above would be considered as an asset

                                +

                                +

                                Competencies

                                +

                                +

                                · Inspires others with impactful communications and adapts to the audience through speech and writing

                                +

                                · Ability to communicate complex solutions

                                +

                                · Applies analytical thinking

                                +

                                · Innovates through problem solving

                                +

                                · Knows the business and stays current with industry trends to elevate expertise and work

                                +

                                · Demonstrates organizational abilities and detail oriented

                                +

                                · Collaborates with key internal stakeholders to enable higher productivity

                                +

                                · Works independently with little supervision

                                +

                                · Applies agile mindset

                                +

                                · Ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets

                                +

                                · Demonstrates commitment to high standards of ethics, regulatory compliance, customer service, and business integrity

                                +

                                +

                                Technical Skills/Knowledge

                                +

                                +

                                · Strong data analytics and development skills

                                +

                                · Demonstrated creativity skills

                                +

                                · Expertise in a combination of Scala, Java or Python

                                +

                                · Expertise with Big Data architecture and distributed computing processes and platforms such as Map/Reduce, Hadoop, Hive, Spark, Kafka, etc.

                                +

                                · Expertise with one or more SQL-on-Hadoop technology (Hive, Impala, Spark SQL, Presto)

                                +

                                · Knowledge of software engineering best practices such as code reviews, testing frameworks, maintainability and readability

                                +

                                · Expertise with GraphQL*

                                +

                                *Any knowledge for any of the above would be considered as an asset

                                +

                                +
                                +About CN

                                +

                                +

                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                +

                                +
                                +

                                +

                                +

                                +

                                +

                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                +
                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/9702?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-03-27T17:47:04.802Z,False,0,3,10,https://talenthub.vectorinstitute.ai/jobs/204324024-expert-solution-design-data-engineering-at-cn,,expired,2023-03-13T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, +c9f7d4c8-1202-4678-8bf7-67a44c389770,206568790,Scotiabank,Data Science Senior Manager,on_site,Canada : Ontario : Toronto,2023-03-20T17:22:01.827Z,"

                                +

                                +

                                +

                                +

                                Requisition ID: 173761

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                +

                                Purpose

                                +

                                +

                                As a Data Science Sr Manager, Fraud Innovation & Analytics you will contribute to the overall success of the Fraud Management Group Globally ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted follow governing regulations, internal policies, and procedures.

                                +

                                +

                                +

                                +

                                What your role will be:

                                +

                                +

                                +
                                • Collaborate with stakeholders including Operations, Analytics and Data Science partners, as well as Scotia Digital and IT&S partners to identify opportunities and drive business value in reducing fraud risks by leveraging Data Science
                                • Leverage distributed computing tools (e.g., Beam, BigQuery, Hive, Spark) for analysis, data mining and modeling
                                • Collaborate with technology / engineering, analytics, and operational teams to deploy fraud detection and prevention models and algorithms in production across different products and channels
                                • Create and apply model validation strategies to measure model effectiveness, conduct A/B testing, and make ongoing enhancements
                                • Prepare detailed documentation to outline data sources, models and algorithms used and developed
                                • Present results to business line stakeholders and help implement real data-driven changes
                                • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems, and knowledge
                                • Leverage Scrum framework for iterative and incremental agile development of machine learning product features, participate in sprint review, planning, and daily scrum ceremonies
                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions
                                • Skills you already have:
                                • +
                                +

                                +

                                +

                                +

                                Education / Experience:

                                +

                                +
                                • Post-secondary degree in relevant STEM discipline (Computer Science, Electrical/Computer/Software Engineering, and Statistics/Mathematics) and/or 2+ year similar hands-on experience preferred
                                • Experience with machine learning, statistical techniques, as well as model testing and validation
                                • Experience cleaning, transforming, and visualizing large data sets working with various data formats (e.g., unstructured logs, XML, JSON, flat files, audio, image)
                                • Solid SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)
                                • Programming skills in Python, Java, or Scala
                                • Hands-on experience with Big Data ecosystem tools (e.g., Beam, BigQuery, Hive, Spark) preferred
                                • Experience with UNIX tools and shell scripting preferred
                                • Expertise with Docker or Kubernetes is an asset
                                • Experience with various services on Google Cloud Platform is an asset
                                • Experience deploying models into productions as streaming application, Rest APIs, batch jobs or dashboards is an asset
                                • Experience with Deep Learning architectures like RNNs and CNNs is an asset
                                • Experience using and implementing visualization tools is an asset
                                • Knowledge of industry trends regarding fraud and experience in fraud detection and prevention is an asset
                                • Experience working with cross-functional team in an Agile environment is an asset
                                • Strong verbal, written, presentation & communication skills
                                • Proactive, organized, excellent analytical and problem-solving skills
                                • +
                                +

                                +

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Data-Science-Senior-Manager-ON-M5H1H1/568699617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-03-27T17:27:03.683Z,False,0,3,16,https://talenthub.vectorinstitute.ai/jobs/206568790-data-science-senior-manager-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Science-Senior-Manager-ON-M5H1H1/568699617/,expired,2023-03-20T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Manager,Bachelors Degree,New Posting, +ad7dff0f-cfb0-46ff-9da6-171aaafa79ae,198034030,TD Bank Group,Software Engineer ML Engine (Layer 6),on_site,"Toronto, ON",2023-02-20T17:24:05.053Z,"
                                +

                                Company Overview

                                +
                                +

                                Tell us your story. Don’t go unnoticed. Explain why you’re a winning candidate. Think “TD” if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

                                +

                                Stay current and competitive. Carve out a career for yourself. Grow with us. Here’s our story: jobs.td.com

                                +
                                +

                                +

                                Department Overview

                                +
                                Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform.

                                +

                                Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google’s Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 – Visual Relationship (winner in 2019).

                                +
                                +

                                +

                                Job Description

                                +
                                The goal of the ML Engine team is to enable training and deploying robust and high-performing models by providing a solid foundation and allowing for fast iteration. We are looking for world-class engineers to take on the challenging problem of shipping core machine learning engine from 0 to 1. This Engine which will be used across the Bank. You will work with ML Product Engineers, Ops teams, and Research Scientist to ensure our framework can support use cases deployed on our computing infrastructure.

                                +

                                What are your main responsibilities?

                                +
                                  +
                                • Own and ship product features that enable ML engine capabilities
                                • +
                                • Work with product owners and tech leads to design, ship, and refine significant components of the product.
                                • +
                                • Work with research scientists and MLOps team to maintain service product.
                                • +
                                +
                                +

                                +

                                Requirements

                                +
                                +Must-Have:

                                +
                                  +
                                • Experience with building and scaling data-intensive software.
                                • +
                                • You value good software design and sweat over details in code and API design.
                                • +
                                • You enjoy learning new technology and also educating others.
                                • +
                                • You take great personal pride in building robust and scalable software.
                                • +
                                • You strive to communicate clearly and with empathy.
                                • +
                                • You are highly accountable and have a strong sense of ownership.
                                • +
                                • Ability to do detailed code reviews and give thoughtful feedback.
                                • +
                                +

                                Nice to have

                                +

                                Experience building a library or a framework.
                                Experience with Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Spark, Cassandra, Kafka, Elasticsearch
                                Comfortable with statistics.
                                Knowledge of machine learning algorithms.
                                Knowledge of distributed systems.

                                +
                                +

                                +

                                Additional Information

                                +
                                #LI-Hybrid
                                +

                                +

                                Hours

                                +
                                37.5
                                +

                                +

                                Inclusiveness

                                +
                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.
                                +

                                +
                                ",,https://jobs.td.com/en-CA/jobs/17482432/software-engineer-ml-engine-layer-6-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-26T16:35:46.537Z,False,0,6,24,https://talenthub.vectorinstitute.ai/jobs/198034030-software-engineer-ml-engine-layer-6-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17482432/software-engineer-ml-engine-layer-6-toronto-ca/,expired,2023-02-20T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +3e6af86b-2f09-4076-b502-2383408b3b4e,198986742,Google,"Student Researcher, BS, 2023",on_site,"Toronto, ON, Canada",2023-02-23T17:20:02.831Z,"
                                +
                                +2022-12-07T11:18:47.798Z
                                +
                                  +
                                • Share
                                • +
                                  Save +
                                • +

                                Student Researcher, BS, 2023

                                  +
                                • Google
                                • +
                                • In-office:
                                  + Waterloo, ON, Canada +
                                • +
                                • + 2 more locations
                                • +
                                +
                                +
                                +

                                Participation in this program requires that you are located in Canada for the duration of the engagement.

                                +

                                This opportunity is intended for students who are pursuing a BS degree with an anticipated graduation date after December 2024, depending on their program and unique circumstances. If you are graduating before December 2024, we encourage you to apply to the Internship openings.

                                +

                                To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English (PDFs preferred). Please ensure your anticipated graduation dates (in MM/YY) and any proficiency in coding languages are listed on resume.


                                Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Toronto, ON, Canada; Montreal, QC, Canada.

                                +
                                +

                                Qualifications

                                +

                                Minimum qualifications:

                                +
                                  +
                                • Currently enrolled in a Bachelor\'s degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences.
                                  +
                                • +
                                • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, etc.).
                                  +
                                • +
                                +

                                Preferred qualifications:

                                +
                                  +
                                • Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
                                • +
                                • Currently attending a degree program in Canada.
                                • +
                                • Experience as a researcher, including internships, full-time, or at a lab.
                                • +
                                • Experience contributing to research communities or efforts, including publishing papers in conferences or journals.
                                  +
                                • +
                                • Experience with one or more general purpose programming languages (e.g., C/C++, Java, MATLAB, Go, Python, etc.).
                                  +
                                • +
                                • Ability to speak and write in English fluently.
                                • +
                                +
                                +
                                +
                                +

                                About the job

                                +

                                The Student Researcher Program’s primary objective is to foster academic collaborations with students through research at Google. Join us for a paid Student Researcher position that offers the opportunity to work directly with Google research scientists and engineers on cutting-edge research projects.

                                +

                                The Student Researcher Program offers more opportunities for research students to work on critical research projects at Google in a less structured way. The program allows for opportunities beyond the limitations of our traditional internship program on aspects such as duration, time commitment, and working location (with options for on-site or remote). The topics student researchers work on tend to be open-ended and exploratory, and don\'t always have a clear deliverable like a traditional internship would.

                                +

                                Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world\'s fast-paced business needs.

                                +
                                +
                                +
                                +

                                Responsibilities

                                • Participate in research to develop solutions for real-world, large-scale problems.
                                +
                                +

                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                                At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                                +
                                +
                                +
                                ",,"https://careers.google.com/jobs/results/98353252484948678-student-researcher-bs-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-03-26T16:58:07.416Z,False,0,15,77,https://talenthub.vectorinstitute.ai/jobs/198986742-student-researcher-bs-2023-at-google,,expired,2023-02-23T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Bachelors Degree,New Posting, +ca5ec961-7557-40ec-895c-9038267d4eab,198994205,EY,Manager- Banking Technology - Capital Markets (Data),on_site,Toronto,2023-02-23T17:37:02.743Z,"

                                Manager- Banking Technology - Capital Markets (Data)

                                Location: Toronto
                                Other locations: Primary Location Only
                                Date: Mar 12, 2023
                                At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
                                +
                                +

                                The Opportunity

                                +

                                +

                                We currently have career opportunities for Senior Consultants and Managers in our Canadian Capital Markets (CM) consulting team. Our team works to build a better world by transforming businesses through the potential of our people, technology, and innovation. Emerging technologies are transforming all lines of business and requires our customers to embrace these new technological capabilities and see them as new competitive advantages.

                                +

                                We work collaboratively with some of the top executives in financial institutions of all sizes and scales, helping them create and realize the best solutions for the future of their business. Each project is different, so you’ll need to be able to excel in ambiguous situations and confidently navigate ever-changing circumstances. We’ll look to you to be a self-starter, have the ability to translate complex information into simple terms, manage teams, and deliver long-term solutions with confidence. On this team, you’ll have the unique opportunity to imagine the future as well as create it, where you can craft ideas and implement them for our clients.

                                +

                                +

                                Your Key Responsibilities

                                +

                                +

                                As a part of the CM practice, you will advise clients and assist in solving Business and Technology problems in Capital Markets industry. You will provide clients with functional analysis, design, implementation, and technical program management support services.

                                +

                                +

                                You will support or lead the delivery of customer engagements, build customer relationships and lead team development. This will include generating new business opportunities by developing ideas and solutions to present to internal and external clients.

                                +

                                +

                                This will include assisting with performing analysis of business requirements, translating requirements into functional specifications, design of technical solutions and requirements for implementation by development teams. Assisting with feature design, business process decomposition, supporting technical system integration, configuration of systems, modernization, optimization, decommissioning and analysis of underlying front to back data requirements

                                +

                                +

                                You will also be able to support client technology organizations with front to back SDLC, provide hands-on support across one or multiple phases of the process and have experience with Technical Project Management and Agile ways of working.

                                +

                                +

                                Individually and as a member of EY team, you will converse with the with Capital Markets buy side and sell side technology, operations and business clients on traded products and the end-to-end trade lifecycle levels of AVP to Senior VP/Director. You will have the ability to understand business problems and advise on proposed technology solutions. Summarize and document technical discussions, translate technical decisions into business English language and communicate with client’s business stakeholders. Liaise between business and technology teams.

                                +

                                +

                                You will have the ability to effectively integrate with and leverage offshore development teams to scale and accelerate software delivery to meeting deadlines and close work

                                +

                                +

                                Skills and attributes for success

                                +
                                • Agile, growth-oriented mindsets. What you know matters. But the right mindset is just as important in determining success. We’re looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world. Experience in business development or delivering against financial targets in a service-oriented context is a plus
                                • High-performance tech leaders. A strong track record of management of large teams delivering strategic technology-enabled transformations and major digital implementations. Demonstrated team leadership experience in complex contexts, in addition to project management, advanced analytical and problem-solving skills
                                • Great communicators. Communication is key — we strive to bring our best interpersonal, written, and verbal communication skills, whether we’re writing an e-mail, building a proposal, drafting an architecture diagram, or cutting code.
                                • Curiosity and purpose. We’re looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world, and who are committed to integrity in every environment
                                • Integrity and inclusivity. We’re looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust
                                • +
                                +


                                +

                                To qualify for the role, you must have

                                +
                                • Capital Markets Business domain expertise. Intimate knowledge of the trading environment (front, middle, and back office), trading instruments (including derivatives and exotics across multiple asset classes), pricing, risk, and knowledge of the risk and regulatory issues within the Capital Markets businesses lines.
                                • Capital Markets Technology experience. Practical knowledge of the Capital Markets and investment division business and technical architecture and workflows. Experience with implementation of trading and risk platforms; especially with experience in Murex or Calypso.
                                • +Hands on experience with delivering technology solutions in Capital Markets industry across any of the following process areas:
                                  • Transaction processing from pre-trade to settlement, transaction pricing, market risk, position / portfolio management, collateral management, client onboarding as well as risk and regulatory concepts
                                  • Understanding of technology environments across Capital Markets; typical integration of key systems and platforms (trade capture, pricing, reference data, market data, etc.)
                                  • Understanding of basic principles of financial data modeling; data shape, size, velocity of change
                                  • Strong knowledge of transaction lifecycle across CM (FO-MO-BO)
                                  • Strong knowledge of financial instruments and asset classes (e.g., fixed income, multi asset derivatives, equities, FX, commodities)
                                  • Overall understanding of the front to back capital markets data value chain
                                  • Excellent analytical skills with ability to systematically resolve technical problems
                                  • Attention to detail, strong interpersonal skills, good communication across all levels of seniority in an organization
                                • +
                                +


                                Ideally, you’ll also have

                                +

                                +

                                Technical Skills (Technologies)

                                +
                                • Experience with technology implementation or support for core CM systems/ applications such as Murex and Calypso
                                • Deep understanding of the Murex and Calypso product suite, including its application across sell and buy side firms
                                • Advanced level of application implementation in modern programming languages C++, Java, Scala, Python, Node, or similar programming languages common in financial industry
                                • Strong understanding of computer science concepts including data structures, algorithm design, complexity, time, state
                                • Comfortable with object-oriented programming
                                • Experience working with RDF, JSON, XML and other standard data frameworks and standards
                                • Strong services-based implementation skills for building scalable, enterprise-grade solutions. SOAP, REST
                                • Experience with industry standard RDMS (e.g., MySQL, SQL Server, PostgresSQL) and No-SQL datastores
                                • Comfortable working with large data sets, complex objects, performing analysis, modelling and linage
                                • Demonstrated experience with DevOps technologies (requirements management, version control, automated unit testing, code reviews, build and deployment)
                                • Understanding business and functional requirements, translating into technical requirements, and designing solutions
                                • Experience in architecture and design of solutions based on functional requirements
                                • Experience with application integration, upgrade, decommissioning
                                • Experience building and deploying applications in cloud
                                • Leading development teams, agile pods
                                • Strong knowledge of SDLC, and agile methodologies; experience delivering solutions in an agile environment. Experience with TDD and pairing
                                • +
                                +


                                Desired Skills

                                +
                                • BSc/BA in Data Science/ Technology, Computer Science, Engineering, or a related field; MBA or other relevant graduate degree is a plus [5+ years work experience]
                                • SCRUM master and PMP certification is a plus
                                • Understanding of DLT, Cloud, AI/ML technologies and use cases in Capital Markets
                                • Knowledge of capital markets technology industry trends; knowledge of FinTech’s and their offerings
                                • Developing technology strategy, architecture principles, product roadmap
                                • +Comfortable interacting with business stakeholders and clients for the purposes of understanding of business problems and design of solutions
                                • +
                                +

                                What we look for

                                +


                                Successful candidates will have a leadership presence with a proven track record of sales and delivery in a management consulting context with established client relationships and experience in Canada.

                                +

                                +

                                What we offer

                                +


                                At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients, and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

                                +


                                We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial, and social well-being. Plus, we offer:

                                +
                                • Support and coaching from some of the most engaging colleagues in the industry
                                • Learning opportunities to develop new skills and progress your career
                                • The freedom and flexibility to handle your role in a way that’s right for you
                                • +
                                +


                                Diversity and Inclusion at EY

                                +

                                +

                                Diversity and inclusiveness are at the heart of who we are and how we work. We’re committed to fostering an environment where differences are valued, policies and practices are equitable, and our people feel a sense of belonging. From our actions to combat systemic racism and our advocacy for the LGBT+ community to our innovative Neurodiversity Centre of Excellence and Accessibility initiatives, we welcome and embrace the diverse experiences, abilities, backgrounds and perspectives that make our people unique and help guide us. Because when people feel free to be their authentic selves at work, they bring their best and are empowered to build a better working world.

                                +
                                +
                                EY | Building a better working world
                                +
                                +
                                EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
                                +
                                +
                                Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
                                +
                                +
                                Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
                                ",,https://careers.ey.com/ey/job/Toronto-Manager-Banking-Technology-Capital-Markets-%28Data%29-ON-M5H-0B3/891753201/,feed-importer@jobboard.io,,,,2023-03-26T17:16:46.889Z,False,0,2,23,https://talenthub.vectorinstitute.ai/jobs/198994205-manager-banking-technology-capital-markets-data-at-ey,https://careers.ey.com/ey/job/Toronto-Manager-Banking-Technology-Capital-Markets-%28Data%29-ON-M5H-0B3/891753201/,expired,2023-02-23T17:37:00.000Z,import-xml-feed:EY-Job-Feed,Enterprise (500+),Application Click Through,Professional Services (e.g Consulting),Manager,Bachelors Degree,New Posting, +ca08aa7d-f4d1-4181-9750-547d422d5b28,200116547,BMO Financial Group,Sr. Anaplan Modeler,on_site,"Ontario, Canada",2023-02-27T17:12:01.555Z,"
                                +

                                Application Deadline:

                                04/27/2023

                                +

                                +

                                Address:

                                100 King Street West

                                +

                                +

                                Job Family Group:

                                Data Analytics & Reporting

                                +

                                +

                                Successful candidate will be responsible for data modelling within BMO’s instance of Anaplan to support BMO’s planning and forecasting functions within Finance. Individual should possess an Anaplan Certified Model Builder accreditation with field experience implementing various large-scale projects utilizing iterative/agile project management methodology and domain best practices. Candidate will be the subject matter expert for data integration, translation, and transformation from input sources into models/reports/dashboards and will coordinate with various business and technology stakeholders to develop intermediate/advanced business intelligence models, interpreting business requirements into effective solution designs. The incumbent should possess strong analytical, problem-solving and communication skills with the ability to use creative thinking to solve complex business/technical problems.

                                +

                                +

                                +

                                Applies knowledge of advanced analytic algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better predictions and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

                                +
                                  +
                                • Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
                                • +
                                • Ensures alignment between values and behaviour that fosters diversity and inclusion.
                                • +
                                • Regularly connects work to BMO\'s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.
                                • +
                                • Builds interdependent teams that collaborate across functional and operating groups to create the highest value for all stakeholders.
                                • +
                                • Attracts, retains, and enables the career development of top talent.
                                • +
                                • Improves team performance, recognizes and rewards performance, coaches employees, supports their development, and manages poor performance.
                                • +
                                • Influences and negotiates to achieve business objectives.
                                • +
                                • Identifies emerging issues and trends to inform decision-making.
                                • +
                                • Provides strategic input into business decisions as a trusted advisor.
                                • +
                                • Makes recommendations to senior leaders on strategy and new initiatives, based on an in-depth understanding of the business/group.
                                • +
                                • Acts as a subject matter expert on relevant regulations and policies. Networks with industry contacts to gain competitive insights and best practices.
                                • +
                                • Leads discovery process with stakeholders to identify business requirements and expected outcome and to select relevant sources of data/information.
                                • +
                                • Manages resources and leads the execution of strategic initiatives to deliver on business and financial goals.
                                • +
                                • Helps determine business priorities and best sequence for execution of business/group strategy.
                                • +
                                • Develops the business case by identifying needs, analysing potential options and assessing expected return on investment.
                                • +
                                • Recommends business priorities, advises on resource requirements and develops roadmap for strategic execution.
                                • +
                                • Makes strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.
                                • +
                                • Structures loosely defined and complex business problems; determines new experimentation methods and statistical techniques to design solutions.
                                • +
                                • Acts as the prime subject matter expert for internal/external stakeholders.
                                • +
                                • Identifies/creates the appropriate algorithm to discover patterns.
                                • +
                                • Drives analytics innovation; poses open-ended questions, explores new ideas, and chooses appropriate techniques for solving business problems.
                                • +
                                • Oversees the development and delivery of tools and training for data and analytics.
                                • +
                                • Diagnoses and resolves predictive / analytical model performance issues while monitoring system performance and implementation of efficiency improvements.
                                • +
                                • Leads change management programs of varying scope and type, including readiness assessments, planning, stakeholder management, execution, evaluation and sustainment of initiatives.
                                • +
                                • Leads the development of the communication strategy focusing on positively influencing or changing behaviour.
                                • +
                                • Applies innovative and best practices to advanced analytics services to ensure high quality standards.
                                • +
                                • Sets up change control and testing processes to ensure the quality and consistency of ongoing maintenance work.
                                • +
                                • Designs and implements policies and procedures around new data sets to ensure data quality, consistency, repeatability, and accuracy of insights.
                                • +
                                • Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                • +
                                • Provides advice and guidance to assigned business/group on implementation of analytical solutions.
                                • +
                                • Works with stakeholders to identify the business requirements, understand distinct problems and expected outcomes, and models and frames business scenarios which impact critical business processes and/or decisions.
                                • +
                                • Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system, payment system, external credit rating system, and alternative data) to fulfill analytical needs.
                                • +
                                • Applies scripting / programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
                                • +
                                • Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, refine hypotheses.
                                • +
                                • Summarizes statistical findings and draws conclusions, presents actionable business recommendations. Presents findings & recommendations in a simple, clear way to drive action.
                                • +
                                • Documents data flow, systems and processes in data collection to improve efficiency and apply use cases.
                                • +
                                • Performs experimental design approaches to validate finding or test hypotheses.
                                • +
                                • Uses the appropriate algorithms to discover patterns.
                                • +
                                • Builds effective relationships with internal/external stakeholders and ensures alignment.
                                • +
                                • Supports development of tools and delivers training for data analytics and AI.
                                • +
                                • Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
                                • +
                                • Leads/participates in the design, implementation and management of core business/group processes.
                                • +
                                • Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
                                • +
                                • Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
                                • +
                                • Implements changes in response to shifting trends.
                                • +
                                • Broader work or accountabilities may be assigned as needed.

                                  Qualifications:

                                  +
                                • +
                                • Typically 7+ years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience.
                                • +
                                • Advanced degree (Ph.D. preferred) in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience.
                                • +
                                • In depth experience using machine learning algorithms.
                                • +
                                • Experience with distributed computing language (e.g. Hive / Hadoop/ Spark) & cloud technologies (e.g. AWS Sagemaker, AzureML).
                                • +
                                • Experience with programming languages (e.g. SQL, Python, R, SAS, SPSS, , Perl) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
                                • +
                                • Seasoned professional with a combination of education, experience and industry knowledge.
                                • +
                                • Verbal & written communication skills - In-depth / Expert.
                                • +
                                • Analytical and problem solving skills - In-depth / Expert.
                                • +
                                • Influence skills - In-depth / Expert.
                                • +
                                • Collaboration & team skills; with a focus on cross-group collaboration - In-depth / Expert.
                                • +
                                • Able to manage ambiguity.
                                • +
                                • Data driven decision making - In-depth / Expert.
                                • +
                                +

                                +

                                +

                                We’re here to help

                                +

                                +

                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                +

                                +

                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                +

                                +

                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                +

                                +

                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                +

                                +

                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                +
                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Sr-Anaplan-Modeler_R230003700?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa,info@bmocareers.com,https://jobs.bmo.com/ca/en,,,2023-03-29T20:11:24.197Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/200116547-sr-anaplan-modeler-at-bmo-financial-group,,expired,2023-02-27T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +1cdb9a25-7afb-4812-8bf2-6988d46495e6,199290397,TELUS,Senior Data Engineer,on_site,"Ontario, Canada",2023-02-24T17:42:02.684Z,"
                                +
                                +

                                Description

                                +
                                +


                                Join our team and what we\'ll accomplish together

                                +

                                +

                                Are you obsessed with data and identifying ways to harness and scale data intelligence across an entire organization? Do you love collaborating with fellow data professionals to develop innovative data solutions that lead to positive business outcomes? If your answer is yes, we would be delighted to have you onboard TELUS’ Data Strategy & Enablement team to provide vision and strategic guidance, while driving flawless execution on the development and evolution of large-scale machine learning environments.

                                +

                                +

                                You’ll be part of a multidisciplinary team of data wizards who are capitalizing on analytics and insights to deliver exceptional products and services for our customers. In turn, we hope you’ll enjoy being a valued member of Canada’s #1 global workplace with a world-leading culture featuring extensive community-giving initiatives, flexible work environment including remote work, award-winning opportunities for career development, and a competitive compensation and benefits package.

                                +

                                +

                                As a technology company, data is central to our mission to create better outcomes for our customers, especially as we strive to deliver next generation networks like 5G; unlock the full potential of the Internet of Everything to power smart homes, businesses, industry, healthcare and cities; and deliver an incredible customer experience. Our Data Strategy & Enablement team is at the helm of building world-class data solutions by delivering data analytics capabilities built upon unified scalable platforms, advanced Augmented Intelligence (AI) tooling, high quality data, and a data product and platform-oriented culture. At the same time, this team remains passionate champions of reliability, security and privacy by design, and is committed to creating the utmost level of privacy and security protections for all data on our networks and systems.

                                +

                                +

                                You’ll provide vision and strategic guidance to evolve from common static analysis to dynamic machine learning deployments, as well as expand our teams’ access to deep insights that improve the customer experience. You’ll work with a talented team of Data Scientists and other professionals to manage TELUS’ data platforms and offer the best possible analytics experience to internal stakeholders using the data. And finally, as a trusted advisor and partner, you’ll collaborate across various business units to accelerate the transformation of our platforms, improve the customer and team member experience, and drive business efficiencies.

                                +


                                What you’ll do

                                +

                                +
                                  +
                                • Build and maintain scalable data infrastructure that offers a best-in-class experience for internal stakeholders including consistent extraction of value from the data
                                • +
                                • Drive data ingestion and processing in innovative ways that inform strategic priorities and decision-making across the organization
                                • +
                                • Foster continuous systems transformation as we migrate infrastructure and applications to Google Cloud Platform (GCP)
                                • +
                                • Build expertise in the team to expose efficiency insights across data platforms in the cloud
                                • +
                                • Manage our cloud data analytics platform priorities to make sure data security and privacy are top considerations
                                • +
                                • Implement automation and monitoring tools through a test-driven approach and mindset
                                • +
                                • Drive the adoption of new cloud technologies to further advance TELUS’ data transformation strategy
                                • +
                                +
                                +
                                +
                                +

                                Qualifications

                                +
                                +

                                What you bring

                                +

                                +
                                  +
                                • You are recognized for your 8+ years of experience of IT platform implementation in a technical capacity
                                • +
                                • You are sought out for your 5+ years’ experience of data warehouses/cloud architectures and platforms implementation with experience implementing and performance tuning
                                • +
                                • An expert understanding of data warehouses/cloud architectures and ETL processes
                                • +
                                • Advanced working SQL knowledge and experience working with relational databases and query authoring (SQL), as well as working familiarity with a variety of databases
                                • +
                                • Experience with cloud platforms: GCP, Amazon or Azure (GCP gives you an edge!)
                                • +
                                • Experience with Python and software engineering best practices
                                • +
                                • Advanced knowledge in Dataflow, Spark and Kafka, as well as other data pipeline components
                                • +
                                • Experience with data pipeline and workflow management tools such as Airflow
                                • +
                                • Experience with Github and CICD processes
                                • +
                                • Having a proven track record in leading data analytics platform projects
                                • +
                                • Ready to work in new and challenging work environments
                                • +
                                • Getting excited by the opportunity to build a team\'s capabilities to create value and innovate through data, and doing so in an agile manner with a bias for action and speed
                                • +
                                • Envisioning and delivering future technical roadmaps while inspiring others along the way
                                • +
                                • Being a senior strategist and mentor who is sought out when it comes to analyzing and translating technicalities into business implications
                                • +
                                • Working in cross-functional teams with exemplary communication and coordination skills
                                • +
                                • Proving your analytical skills with root cause analysis of issues
                                • +
                                • Demonstrating resilience, a questioning mindset, and strong observation skills and curiosity – you never settle for the status quo!
                                • +
                                • Caring passionately about your stakeholders and providing them with the data and insights they need to deliver on their customer and business outcomes
                                • +
                                +

                                +

                                Great-to-haves

                                +
                                  +
                                • Post graduate education in Data Engineering, Cloud DevOps or Advanced Analytics
                                • +
                                • Machine learning and data science knowledge
                                • +
                                +


                                +
                                +
                                +
                                ",,https://careers.telus.com/job/Toronto-Senior-Data-Engineer-ON/566944717/,feed-importer@jobboard.io,,,,2023-03-29T20:03:21.218Z,False,0,2,6,https://talenthub.vectorinstitute.ai/jobs/199290397-senior-data-engineer-at-telus,,expired,2023-02-24T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Senior Level,Bachelors Degree,New Posting, +9037bf3c-ef41-412b-ba0f-9559750c192c,204324011,CN,Specialist Data Design,on_site,"Ontario, Canada",2023-03-13T17:42:03.002Z,"
                                +

                                +

                                At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!

                                Job Summary

                                +

                                The Specialist, Data Design is responsible for understanding business requirements, creating data definitions, data quality requirements, define data transformation rules, as well as logical and physical data models. The incumbent brings technical expertise to ensure the quality and accuracy of data, then process, designs and presents it in ways to help people, businesses, and organizations make better decisions.

                                Main Responsibilities

                                +

                                Data Design and Management

                                · Build conceptual, logical, and physical data models

                                · Build source to target mapping documents to describe data transformations

                                · Design and develop curated data assets in Data Lake and Data Warehouse to support reporting, data science and data engineering

                                · Define, document, and maintain standards and best practices around data modelling

                                Testing, Troubleshooting and Delivery

                                · Assess and design data architecture components (e.g., data model, mapping, data flows, and transformations) to make sure they are well integrated and aligned with the data and technical architecture

                                · Troubleshoot data issues within the business and present solutions and recommendations

                                · Define unit testing to ensure Data Engineers follow specifications

                                · Participate in the delivery and support of data quality and consolidation initiatives

                                · Propose simplification initiatives to allow for more effective data design, and management

                                Requirements

                                Experience

                                Data Design and Modelling

                                · Between 3 to 5 years overall work experience

                                · Minimum 3 years of experience in analysis, data design and data modelling

                                · Experience performing root cause analysis to answer specific business questions and identify opportunities for improvement

                                · Experience with big data processing

                                · Experience in real time data streaming and loading

                                · Experience modelling data for data science projects*

                                · Experience working with Scale Agile Methodology (SAFe)*

                                · Experience with semi-structured and unstructured data*

                                *Any experience for these above would be considered as an asset

                                Education/Certification/Designation

                                +

                                · Bachelor’s Degree specializing in Computer Science, Business Analytics, Mathematics and Statistics, or other quantitative field, related degree, or equivalent experience

                                Competencies

                                +

                                · Inspires others with impactful communications and adapts to the audience through speech and writing

                                · Applies analytical thinking

                                · Innovates through problem solving

                                · Knows the business and stays current with industry trends to elevate expertise and work

                                · Demonstrates organizational abilities

                                · Collaborates with key internal stakeholders to enable higher productivity

                                · Works independently with little supervision

                                Technical Skills/Knowledge

                                +

                                · Advanced knowledge of dimensional modelling techniques, data modelling and data architecture best practices

                                · Advanced SQL skills

                                · Knowledge of Azure Data Lake (ADLS), Data Warehouse, Data Factory, Development Operations (DevOps) Continuous Integration (CI) and Continuous Delivery (CD), Databricks, and Business Intelligence or relevant data environment

                                About CN

                                +

                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.

                                For internal candidates, note that the grade level of the position will depend on the employee\'s experience.

                                +

                                +

                                +

                                +

                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                +
                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/10449?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-03-30T21:33:00.000Z,False,0,2,13,https://talenthub.vectorinstitute.ai/jobs/204324011-specialist-data-design-at-cn,,expired,2023-03-13T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Mid-Senior Level,Bachelors Degree,New Posting, +888ab4ff-f24b-44f6-8a4c-edb1e61bb5fe,210219866,Google,"Software Engineer III, Infrastructure, Google Cloud Networking",on_site,"Toronto, ON, Canada",2023-03-30T17:20:03.245Z,"
                                +
                                +2023-03-28T14:00:21.723Z
                                +
                                  +
                                • Share
                                • +
                                  Save +
                                • +

                                Software Engineer III, Infrastructure, Google Cloud Networking

                                  +
                                • Google
                                • +
                                • In-office:
                                  + Cambridge, ON, Canada +
                                • +
                                • + 1 more location
                                • +
                                +
                                +
                                +

                                Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Cambridge, ON, Canada; New York, NY, USA.

                                +
                                +

                                Qualifications

                                +

                                Minimum qualifications:

                                +
                                  +
                                • Bachelor’s degree or equivalent practical experience.
                                • +
                                • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
                                • +
                                • 2 years of experience with data structures or algorithms in either an academic or industry setting.
                                • +
                                +

                                Preferred qualifications:

                                +
                                  +
                                • Master\'s degree or PhD in Computer Science or related technical fields.
                                • +
                                • 2 years of experience building and developing large-scale infrastructure, distributed systems or networks, and/or experience with compute technologies, storage, and/or hardware architecture.
                                • +
                                • Experience developing accessible technologies.
                                • +
                                +
                                +
                                +
                                +

                                About the job

                                +

                                Google\'s software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We\'re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

                                +

                                With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

                                +

                                Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

                                +
                                Salary Range Info:
                                +

                                The US base salary range for this full-time position is $133,000-$194,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

                                +

                                Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

                                +
                                +
                                +
                                +

                                Responsibilities

                                  +
                                • Write product or system development code.
                                • +
                                • Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
                                • +
                                • Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
                                • +
                                • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
                                • +
                                • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
                                • +
                                +
                                +

                                Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google\'s Applicant and Candidate Privacy Policy.

                                Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google\'s EEO Policy and EEO is the Law. If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

                                To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

                                To learn more about COVID vaccination requirements for US Google workplaces, read our Vaccination Entry Policy.

                                At Google, we’re committed to building a workforce that is more representative of the users we serve and creating a culture where everyone feels like they belong. To learn more about our diversity, equity, inclusion commitments and how we’re building belonging, please visit our Belonging page for more information.

                                We welcome and encourage people who are expecting and/or parents-to-be to apply to this or any other role at Google.

                                Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles.

                                +
                                +
                                +
                                ",,"https://careers.google.com/jobs/results/117694007057752774-software-engineer-iii-infrastructure-google-cloud-networking/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-03-30T21:32:00.000Z,False,0,0,1,https://talenthub.vectorinstitute.ai/jobs/210219866-software-engineer-iii-infrastructure-google-cloud-networking-at-google,,expired,2023-03-30T17:20:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Associate,Bachelors Degree,New Posting, +8479d20e-c7e6-48a6-898c-9bd40306cfa9,206568607,RBC,"Senior Analyst, Environmental & Social Risk Analytics",on_site,"Toronto, ON, Canada",2023-03-20T17:16:02.666Z,"

                                Come Work with Us!

                                At RBC, our culture is deeply supportive and rich in opportunity and reward. You will help our clients thrive and our communities prosper, empowered by a spirit of shared purpose.

                                Whether you’re helping clients find new opportunities, developing new technology, or providing expert advice to internal partners, you will be doing work that matters in the world, in an environment built on teamwork, service, responsibility, diversity, and integrity.

                                -

                                Job Title

                                Senior Analytics Manager

                                +

                                Job Title

                                Senior Analyst, Environmental & Social Risk Analytics

                                Job Description

                                -

                                What is the opportunity?

                                -

                                To be a part of a global, exciting and forward-thinking Data Products team within Internal Audit that is focused on building insight-driven applications and tools to provide enhanced assurance across our technology and operations organizations. As RBC continues to evolve in response to new challenges that impact financial markets across the globe, Internal Audit have been proactive in transforming their approach from traditional auditing, to data-informed decision making when assessing and challenging the management of risk across the business.

                                +

                                What is the Opportunity?

                                +

                                As part of the Environmental & Social Risk team within Group Risk Management, you will play a role in the management, monitoring, and mitigation of environmental and social (E&S) risks at RBC. You will support the design and implementation of key climate and E&S risk initiatives by providing research and data analytics and insights. A significant focus of this role will be the calculation of RBC’s financed emissions across different asset classes within carbon-intensive sectors and setting and tracking progress on net-zero targets.

                                -

                                The RBC CAE Group leverages a unique perspective— with a coordinated view across the entire business—to deliver valuable advice that not only gives assurance, but that illuminates a bigger picture, connects dots, builds best practices and broadens possibilities. In this role you will become a critical part of our journey to transform and automate our Internal Audit processes to better protect and enable the bank.

                                +

                                The role will report to the Director, E&S Risk Analytics

                                -

                                What will you do?

                                +

                                +

                                What will you do?

                                  -
                                • Apply your skills in data validation, exploration, statistical analysis and machine learning on a diverse range of data sources to identify insights and opportunities to develop data products.
                                • -
                                • Use your curiosity and own initiative to develop innovative solutions to a wide and ever-changing set of complex problems across RBC.
                                • -
                                • Drive the automation and implementation of powerful data-backed reports to stakeholders throughout the organization.
                                • -
                                • Automate and productionize the testing of key business controls to enable auditors in continuously monitoring key risks across the enterprise.
                                • -
                                • Collaborate with other data analysts, data engineers and data scientists within Internal Audit to scale your ideas from concept to production.
                                • -
                                • Design, develop and maintain productionized applications and dashboards for our end users.
                                • -
                                • Respond to data analysis inquiries from the internal audit team.
                                • +
                                • Gather and analyze data required for climate and social risk measurement and work with the Director, E&S Risk Analytics to use this data to inform actionable steps in the management and monitoring of environmental & social risk.
                                • +
                                • Identify opportunities to improve environmental & social risk data processes and take a leading role in implementing these changes;
                                • +
                                • Optimize data quality and results by seeking out public and private data sources and working with internal stakeholders to source RBC data to improve our climate risk measurement and management capabilities.
                                • +
                                • Collaborate with diverse internal stakeholders across business lines and functions to share E&S Risk data and insights, to inform risk management, business strategy, and ESG and climate disclosures.
                                • +
                                • Work with the Director, E&S Risk Analytics to assist in the advancement of RBC’s capabilities in measuring financed emissions, setting net-zero targets, and delivering carbon accounting insights across the enterprise.
                                • +
                                • Contribute to and lead development and delivery of presentation and reports.

                                What do you need to succeed?

                                -

                                Must have

                                +

                                +

                                Must-have

                                +
                                • Degree in a quantitative discipline such as accounting, statistics, economics, econometrics, finance, mathematics, physics, engineering and/or a relevant professional qualification, with concentration in quantitative methods
                                  -
                                • Degree in a quantitative field
                                • -
                                • Experience with either Python or R as well as SQL and other NoSQL DBs
                                • -
                                • Strong grasp of fundamentals in statistics (hypothesis testing, regression, inference)
                                • -
                                • Demonstrated experience exploring large, complex datasets for the purpose of anomaly detection and latent pattern recognition
                                • +
                                • An interest in Environmental and Social Risk in general and climate change in particular
                                • +
                                • An advanced understanding of programming and querying languages, including SQL and python
                                • +
                                • Experience developing presentations, visualizations and dashboards for senior executives and an interest in developing advanced analytical capabilities
                                • +
                                • Demonstrated ability in mathematical, statistical, financial or economic analyses on large, complex datasets and in translating data into business insights
                                • +
                                • A desire and ability to build new and innovative approaches to complex problems.
                                • +
                                • Commitment to quality and accuracy with a high level of attention to detail.
                                • +
                                • Excellent written and verbal communication skills.

                                -

                                Nice to have

                                +

                                Nice-to-have

                                  -
                                • Experience developing interactive and sophisticated dashboards in Tableau (or similar tool)
                                • -
                                • Experience working with Dataiku
                                • -
                                • Understanding of software engineering design principles
                                • -
                                • Experience building natural language processing (NLP) and unsupervised learning models
                                • -
                                • Demonstrated experience building strong relationships and communicating effectively with both technical and non-technical stakeholders
                                • +
                                • Knowledge of climate change science with experience in the development and use of climate change and economic scenarios, models, projections and data.
                                • +
                                • Knowledge or familiarity with the climate risk and/or target setting guidance issued by PCAF, NZBA, TCFD, ISSB, and/or OSFI (B-15)
                                • +
                                • Experience with or knowledge of carbon-intensive sectors, e.g. agriculture; aluminum; cement; coal; commercial and residential real estate; iron and steel; oil and gas; power generation; and transportation
                                • +
                                • Experience with or interest in agile or design thinking methodologies or frameworks.
                                • +
                                • Prior Product Management knowledge/experience or an interest in Product Management.
                                • +
                                • Knowledge and experience in quantitative model development, testing and validation.
                                • +
                                • Knowledge of wholesale and retail credit risk rating systems with experience in parameter estimation, portfolio management, or risk appetite.
                                • +
                                • Experience working with a diverse range of stakeholders.

                                -

                                What’s in it for you?

                                -

                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                +

                                What’s in it for you?

                                +

                                We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

                                  -
                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation
                                • -
                                • Leaders who support your development through coaching and managing opportunities
                                • -
                                • Work in a dynamic, collaborative, progressive, and high-performing team
                                • -
                                • Opportunities to do challenging work
                                • -
                                • Flexible work/life balance options
                                • +
                                • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.
                                • +
                                • Leaders who support your development through coaching and managing opportunities.
                                • +
                                • Ability to make a difference and lasting impact.
                                • +
                                • Work in a dynamic, collaborative, progressive, and high-performing team.
                                • +
                                • Opportunities to do challenging work.
                                • +
                                • Opportunities to building close relationships with clients.

                                -

                                Job Summary

                                To be a part of a global, exciting and forward-thinking Data Products team within Internal Audit that is focused on building insight-driven applications and tools to provide enhanced assurance across our technology and operations organizations. As RBC continues to evolve in response to new challenges that impact financial markets across the globe, Internal Audit have been proactive in transforming their approach from traditional auditing, to data-informed decision making when assessing and challenging the management of risk across the business.

                                The RBC CAE Group leverages a unique perspective— with a coordinated view across the entire business—to deliver valuable advice that not only gives assurance, but that illuminates a bigger picture, connects dots, builds best practices and broadens possibilities. In this role you will become a critical part of our journey to transform and automate our Internal Audit processes to better protect and enable the bank.

                                Address:

                                TORONTO, Ontario, Canada

                                City:

                                CAN-ON-TORONTO

                                Country:

                                Canada

                                Work hours/week:

                                37.5

                                Employment Type:

                                Full time

                                Platform:

                                Internal Audit

                                Job Type:

                                Regular

                                Pay Type:

                                Salaried

                                Posted Date:

                                2023-04-19

                                Application Deadline:

                                2023-05-04
                                +

                                Job Summary

                                This position will support the advancement of the bank’s Environmental and Social Risk data management, analysis and disclosure capabilities, and the integration of this data into our risk management framework.

                                Address:

                                TORONTO, Ontario, Canada

                                City:

                                CAN-ON-TORONTO

                                Country:

                                Canada

                                Work hours/week:

                                37.5

                                Employment Type:

                                Full time

                                Platform:

                                Group Risk Management

                                Job Type:

                                Regular

                                Pay Type:

                                Salaried

                                Posted Date:

                                2023-03-17

                                Application Deadline:

                                2023-04-01

                                Inclusion and Equal Opportunity Employment

                                At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
                                ​​​​​​​
                                We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

                                Join our Talent Community

                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                -
                                ",,https://jobs.rbc.com/ca/en/job/R-0000057312/Senior-Analytics-Manager,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-05-04T17:21:01.982Z,False,0,2,10,https://talenthub.vectorinstitute.ai/jobs/217073195-senior-analytics-manager-at-rbc,,expired,2023-04-20T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -fb948c7c-2ab2-4a84-9048-e5e513efddf4,218282685,Scotiabank,Fraud Analytics Manager,on_site,Canada : Ontario : North York || Canada : Ontario : Ajax || Canada : Ontario : Mississauga || Canada : Ontario : Scarborough || Canada : Ontario : Toronto,2023-04-24T17:22:02.211Z,"

                                +
                                ",,https://jobs.rbc.com/ca/en/job/R-0000052908/Senior-Analyst-Environmental-Social-Risk-Analytics,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-03-30T17:21:02.273Z,False,0,3,19,https://talenthub.vectorinstitute.ai/jobs/206568607-senior-analyst-environmental-social-risk-analytics-at-rbc,,expired,2023-03-20T17:16:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Bachelors Degree,New Posting, +f0c8e346-075a-469d-969d-e2eed5f762a5,205318966,TD Bank Group,TDI Actuarial Intern / Co-op I,on_site,"Toronto, ON",2023-03-16T17:24:05.118Z,"
                                +

                                Company Overview

                                +
                                +

                                All companies are not the same. What makes TD special as a business is also, what makes us special as an employer.

                                +

                                Why TD?

                                +

                                TD’s Colleague Promise: A better you. A better us.

                                +

                                A more confident you means a stronger us. We empower you to grow your skills, gain new perspectives, and create impact at work and in your community. That’s our unique and inclusive culture.

                                +
                                +

                                +

                                Department Overview

                                +
                                +

                                TD Insurance is part of TD Bank Group, one of Canada’s largest financial institutions. TD Insurance helps protect clients from the ‘accidents of life’ with a wide range of products including credit protection, life, health, travel, home and auto insurance. With more than three million clients, TD Insurance authorized products and services are available online, over the phone, and through a network of more than 1,000 TD Canada Trust branches.

                                +

                                In Canada, we have two lines of business, General Insurance and Life and Health. Our General Insurance business is one of the top home and auto insurance groups in Canada and the national leader in group insurance and affinity marketing. Our Life and Health business is the number one provider of critical illness insurance and direct life and health insurance in Canada.

                                +

                                At TD Insurance, we are committed to fostering an inclusive, accessible environment. With a Canada-wide workforce of over 4,000 employees and offices in Atlantic Canada, Quebec, Ontario and Alberta, our company is always growing and can help you to grow. TD Insurance offers a stable and dynamic work environment where talent is appreciated and professional development is taken seriously. More than just a job, we offer rewarding careers.

                                +

                                +
                                +

                                +

                                Job Description

                                +
                                +

                                We are hiring for the position of Intern / Co-Op III to provide a range of operational and analytical support and perform transactions and other processing activities. This role will not only provide you introductory experience in a professional setting, you will also be equipped with skills and experiences that contribute to the completion of your studies and prepare you to build a career in your chosen discipline. In this role, you will:

                                +
                                  +
                                • Develop and improve the various actuarial models used
                                • +
                                • Help analyze experience results
                                • +
                                • Take part in the production of regulatory rate change submissions
                                • +
                                • Take part in the production and analysis of monthly financial results
                                • +
                                • Participate in various research projects and market studies
                                • +
                                • Maintain and develop the underwriting rules in place
                                • +
                                • Contribute to various underwriting analyses
                                • +
                                • Take part in reinsurance related tasks
                                • +
                                • Participate in the company’s budget process
                                • +
                                +
                                +

                                +

                                Requirements

                                +
                                +What You Bring to TD

                                +
                                  +
                                • Currently enrolled in an actuarial, math or related university program
                                • +
                                • Strong academic records and positive work term feedback
                                • +
                                • Detail orientated, Analytical and Critical Thinker
                                • +
                                • Quantitative proficiency and comfortable with large datasets
                                • +
                                • Proficient in Microsoft Excel (Formulas), and Microsoft Office Suite
                                • +
                                • Ideal candidate posses knowledge of R Shiny
                                • +
                                • Strong verbal and written communication skills
                                • +
                                • High degree of personal initiative
                                • +
                                • Not required but would be an asset: Previous Actuarial work experience Pursuing actuarial exams Knowledge and experience with SAS/SQL, VBA, R, Emblem, Radar, Python, Moody’s Analytics/GGY Axis and additional programs & languages University courses in Property & Casualty, Pricing/Ratemaking, Reserving, Life & Health, etc.

                                • +
                                +
                                +

                                +

                                Additional Information

                                +
                                +

                                Early Talent Requirements

                                +

                                +
                                  +
                                • This position is a 4-month work term and will commence May 5th- August 25th, 2023
                                • +
                                • Applications must include a transcript, cover letter (one letter-sized page or less) and a resume (maximum of 2 pages).
                                • +
                                • We welcome all applications; however, we will only contact qualified candidates chosen for an interview. Thank you for your interest.
                                • +
                                • TD requires employees to reside in the country where the role is located, irrespective of remote working arrangements
                                • +
                                • TD is committed to providing you with the best candidate experience and internship in these unique circumstances. As such, work location and start dates are subject to change.
                                • +
                                +
                                +

                                +

                                Start Date

                                +
                                – Fall, – Summer
                                +

                                +

                                Inclusiveness

                                +

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                +

                                +
                                ",,https://jobs.td.com/en-CA/jobs/17974010/tdi-actuarial-intern-co-op-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-03-30T17:29:05.011Z,False,0,6,25,https://talenthub.vectorinstitute.ai/jobs/205318966-tdi-actuarial-intern-co-op-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/17974010/tdi-actuarial-intern-co-op-i-toronto-ca/,expired,2023-03-16T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +3f212410-4d8d-4422-ab83-0abf4a559f36,202113588,BMO Financial Group,"Home Buying Transformation Analyst, Summer 2023 (Co-op/Internship) - 4 Months",on_site,"Ontario, Canada",2023-03-06T17:12:01.599Z,"
                                +

                                Application Deadline:

                                03/29/2023

                                +

                                +

                                Address:

                                55 Bloor Street West

                                +

                                +

                                Job Family Group:

                                Data Analytics & Reporting

                                +

                                +

                                We are looking for some one excited by the following:

                                +
                                  +
                                • Investigation into digital banking and digital product best practices
                                • +
                                • Competitor research to understand how BMO offerings compare
                                • +
                                • Analysis of various data sources and types to drive new insights
                                • +
                                • Support the coordination of various meetings and projects
                                • +
                                +

                                +

                                Additional Qualifications:

                                +
                                  +
                                • Working knowledge of digital products & channels and e.g. contact centre, mobile and online.
                                • +
                                • Working understanding of digital product management
                                • +
                                • Knowledge of BMO’s products and services.
                                • +
                                • Frontline customer service experience.
                                • +
                                • Real estate secured lending experience
                                • +
                                • Project management experience.
                                • +
                                +

                                +

                                As a co-op/intern student at BMO, you will have the opportunity to be heard, keep growing and make a difference. You will be part of our campus program to gain the skills and knowledge needed to take on roles similar to the description listed below.

                                +

                                +

                                Our student experience is designed to integrate you to the BMO team from day one by adding value in the work you do. You will have the opportunity to participate in programs such as the Women in Technology Mentorship Program, BMO First Friend peer assignment, BMO Social Squad student-led activities, BMO U corporate learning platform and access to various Employee Resource Groups to further develop your network within BMO.

                                +

                                Interested in learning more about our campus program? Stay up-to-date with BMO Campus Recruitment by following us on Twitter @BMOonCampus & Instagram @BMO_on_Campus.

                                +

                                Please ensure you upload your resume, cover letter and transcript in the ‘Upload a file’ section prior to submitting your application.

                                +

                                Please note: Only students currently enrolled in an academic program and returning to their studies will be considered for our Co-op/Internship opportunities. Student who recently graduated are invited to apply to our New Grad opportunities which are available at: https://jobs.bmo.com/ca/en/new-grad

                                +

                                +

                                +

                                Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                +
                                  +
                                • Designs, develops, and implements innovative analytical solutions.
                                • +
                                • Designs and produces regular and ad-hoc reports, and dashboards.
                                • +
                                • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                                • +
                                • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                • +
                                • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                                • +
                                • Analyzes data and information to provide subject-matter insights and recommendations.
                                • +
                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                • +
                                • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                                • +
                                • Builds effective relationships with internal/external stakeholders.
                                • +
                                • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                • +
                                • Completes complex & diverse tasks within given rules/limits and may include handling escalations from other employees.
                                • +
                                • Analyzes issues and determines next steps.
                                • +
                                • Broader work or accountabilities may be assigned as needed.

                                  Qualifications:

                                  +
                                • +
                                • Typically between 2 – 3 years of relevant experience and post-secondary degree in related field of study desirable or an equivalent combination of education and experience.
                                • +
                                • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Good.
                                • +
                                • Specialized knowledge.
                                • +
                                • Verbal & written communication skills - Good.
                                • +
                                • Organization skills - Good.
                                • +
                                • Collaboration & team skills - Good.
                                • +
                                • Analytical and problem solving skills - Good.
                                • +
                                +

                                +

                                +

                                We’re here to help

                                +

                                +

                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                +

                                +

                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                +

                                +

                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                +

                                +

                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                +

                                +

                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                +
                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Home-Buying-Transformation-Analyst--Summer-2023--Co-op-Internship----4-Months_R230004245?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa&company=99ba898c88ac011c8a873c01f2016c06,feed-importer@jobboard.io,https://jobs.bmo.com/ca/en,,,2023-03-30T17:17:02.762Z,False,0,3,10,https://talenthub.vectorinstitute.ai/jobs/202113588-home-buying-transformation-analyst-summer-2023-co-op-internship-4-months-at-bmo-financial-group,,expired,2023-03-06T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +42b7d7b1-54ec-485a-9803-ef1f43ea3a48,202114042,Scotiabank,"Senior Analyst, Retail Risk Management (Data Analytics)",on_site,Canada : Ontario : Toronto,2023-03-06T17:22:03.796Z,"

                                -

                                Requisition ID: 172337

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                Requisition ID: 174650

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                -

                                Purpose

                                -

                                -

                                Contributes to the overall success of the Fraud Management Group in Canada ensuring specific individual goals, plans, initiatives are executed / delivered in support of the team’s business strategies and objectives. Ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                -

                                -

                                Proactively contributes to the Fraud strategy by applying advanced analytics techniques to enhance fraud mitigation capabilities for multiple products across the Canadian Retail portfolio, including Day to Day Banking, Credit Cards, Unsecured Lending Products, Mortgages and Global Payments.

                                +

                                Purpose of Job:

                                -

                                Accountabilities

                                -

                                -
                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                • Develop, execute, and monitor fraud strategies for payment cards (credit and debit) including fraud types such as Card Present, Card Not Present (including 3D Secure), Account Takeover, etc.
                                • Report regularly on performance of existing fraud strategies deployed in Canadian Banking
                                • Identify improvements of existing fraud strategies, procedures and policies
                                • Maintain performance reporting and liaise with business partners to assess trends that may impact the business
                                • Drive strong partnership with Fraud Operations to identify opportunities for improvement with focus on risk/return while ensuring alignment.
                                • Identify and escalate fraud risks that are or will become in excess of the Risk Appetite
                                • Leverage data mining tools (SAS, Python, R) to formulate fraud strategies that minimize fraud losses while maintaining a positive customer experience and controlling operating costs
                                • Lead / participate in the identification, development and implementation of new initiatives
                                • Contribute to and support a variety of projects and initiatives across the Fraud Management Group
                                • Participate in discussions with IT partners and vendors on requirements and solution design
                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.
                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                • +

                                  Reporting to the Sr Manager, Non Pre-Approval Origination, the Sr Analyst will assist the senior manager in monitoring new accounts origination trends for unsecured Lending portfolio, support on credit risk strategy initiatives and other ad-hoc analysis will be required as necessary.

                                  +

                                  +

                                  The Sr Analysts generally works within the established framework to carry on responsibilities under the supervision of the Senior Manager of Non Pre-Approval origination. A high degree of self-assurance, initiative and business sense is required of the Senior Analyst in order to carry out the position responsibilities proactively in a timely and effective manner.

                                  +

                                  +

                                  The Sr Analyst will also use in-depth portfolio analytics to optimize approval/decline decision criteria, automation decision, and limit assignment strategies for New and Existing customers, learn about shifts in consumer credit behavior, and identify risks/opportunities that will impact the Risk Appetite Framework. These tasks will be accomplished leveraging extensive consumer data, credit risk and lending business expertise and advanced analytics techniques including machine learning.

                                  +

                                  +

                                  Job Responsibilities:

                                  +

                                  +

                                  Portfolio Monitoring

                                  +
                                  • Create and maintain reports and dashboards that provide actionable insights.
                                  • Execute on data requests accurately within a timely manner.
                                  • Owner of the end-to-end reporting process (from raw data in SQL tables to automated production-grade dashboards) and be the key point of contact.
                                  • Improve monitoring on new accounts acquired through different channels and special programs. Track vintage performance and ensure a healthy growth of the portfolio.
                                  -

                                  -

                                  Education / Experience

                                  +

                                  Origination Strategies

                                  +
                                  • Analyze strategy effectiveness and proactively identify any emerging risks, make recommendations to support business growth while maintaining losses within risk appetite.
                                  • Ensure all new approved credit is aligned with risk appetite and regulatory requirements and will optimize risk/return over the long term.
                                  • Gain a deep understanding of various adjudication platforms and systems. Implement strategy changes across different technology platforms and channels.
                                  • Identify opportunities to improve/test new risk strategies with building a robust and competitive portfolio in mind.
                                  • +

                                  -
                                  • A University degree in statistics, mathematics or computer science
                                  • 3-5 years analytical experience preferred including statistical analysis, ideally related to Fraud Analytics or Risk Management
                                  • Strong coding, organizing and manipulating large amounts of data (SAS, R, Python)
                                  • Experience with PRM or similar fraud platform strongly desired
                                  • Strong prioritizing, planning, analytical, presentation, project management, and relationship building skills
                                  • Strong communication skills essential with clients, vendors and management
                                  • Must be self-motivated, energetic and results-oriented and be committed to adding value to the organization
                                  • +

                                    Support Business Line Initiatives/Projects

                                    +
                                    • Collaborate and communicate effectively with business partners (product, operation, customer growth etc.) on new acquisition initiatives.
                                    • Represent Risk’s point of view and liaise with stakeholders throughout the organization to listen actively, communicate, and explain risk measures clearly and as appropriate.

                                    -

                                    Location(s): Canada : Ontario : North York || Canada : Ontario : Ajax || Canada : Ontario : Mississauga || Canada : Ontario : Scarborough || Canada : Ontario : Toronto

                                    Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                    At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/North-York-Fraud-Analytics-Manager-ON-M3C0N5/567308517/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-05-04T17:27:03.744Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/218282685-fraud-analytics-manager-at-scotiabank,https://jobs.scotiabank.com/job/North-York-Fraud-Analytics-Manager-ON-M3C0N5/567308517/,expired,2023-04-24T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +

                                Job Requirements:

                                +

                                Required: Bachelor’s degree or higher or equivalent work experience;

                                +

                                A minimum of 1-3 years with an organization in the risk/portfolio management field or data science • Prior experience in a retail lending environment or credit risk management is an asset.

                                +

                                Proficiency in programing and database (SAS/Enterprise Miner or similar statistical software including the ability to apply advanced statistical techniques, SQL, R, Python).

                                +

                                Able to translate data into digestible dashboards and business insights (Tableau, PowerBI). • Strong ownership mentality and can-do attitude.

                                +

                                Ability to work effectively within a team, able to multi-task and strong analytics skills. • Attention to detail with personal accountability to ensure accuracy.

                                +

                                +

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst%2C-Retail-Risk-Management-%28Data-Analytics%29-ON-M5C2W1/568287917/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-03-30T17:27:03.581Z,False,0,5,16,https://talenthub.vectorinstitute.ai/jobs/202114042-senior-analyst-retail-risk-management-data-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Senior-Analyst%2C-Retail-Risk-Management-%28Data-Analytics%29-ON-M5C2W1/568287917/,expired,2023-03-06T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Associate,Bachelors Degree,New Posting, +28ccf06b-9156-4b13-ac2a-b2952c98d43c,203172169,Scotiabank,Data Scientist - Customer Insights Data & Analytics,on_site,Canada : Ontario : Toronto,2023-03-09T17:22:02.574Z,"

                                +

                                +

                                +

                                +

                                Requisition ID: 174199

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                +

                                Purpose:

                                +

                                +

                                The successful candidate will be part of a dynamic, innovative team that supports the Marketing Analytics & Product functions within Scotiabank’s Canadian Bank Analytics group. The individual will develop statistical models, data-mining and analytical solutions to solve a wide array of business problems, including how to drive acquisition, migration and engagement strategies across our customer base.

                                +

                                Scotiabank provides a collaborative work environment where you get to see end-to-end how your work can shape and define strategies. We will provide you the opportunities to gain exposure to different businesses across the organization, a wide variety of analytical tools that will allow you to build complex decision engines and predictive models, work with big data, structured and un-structured.

                                +

                                +

                                What will you do in this role?

                                +

                                +
                                • Design and integrate customer segmentation, channel analytics, campaign optimizations and recommendation/decision engines to help elevate our customer’s experiences across various channels and move to a personalized 1:1 customer journey
                                • Synthesize data across multiple platforms to identify trends and deliver key insights and business recommendations around a customer-first approach to driving engagement and results across our marketing channels and campaigns, to then bringing these recommendations to market through execution and measurement
                                • Act as a modelling and analytics generalist, provide subject matter expertise on modelling/segmentation, advanced analytics, data mining and statistical analysis to internal stakeholders
                                • Ability to validate and measure effectiveness of customer/channel/campaign strategies to continually make ongoing changes and improvements
                                • Supporting key information technology initiatives, such as enhancements in single view of customer, customer/ channel data warehouse, CRM and campaign management tools
                                • Effectively communicate results of highly technical projects to stakeholders and deliver high quality, high impact analytical solutions to business problem
                                • +
                                +

                                +

                                Do you have the skills that will enable you to succeed?

                                +

                                +
                                • Analytical background: preferably Master or PhD degree with a quantitative focus, such as statistics, applied mathematics, economics, computer science
                                • 5 years of related experience needed, preferably within a financial, retail or consulting industry, customer segmentation and channel analytics an asset
                                • Demonstrated experience of developing and implementing statistical models (predictive & descriptive) and advanced analytics with hands-on experience with Python, SAS and Google Cloud Platform (BigQuery, Looker and Vertex AI etc.)
                                • Experience with relational databases and solid SQL skills (SQL Server, DB2, MySQL)
                                • Experience with Bash/Unix Shell Scripts with Python/Docker/Airflow used for automating tasks
                                • Familiar with container-based deployments using Docker, working with Docker images, Docker Hub and Docker-registries and Kubernetes.
                                • Familiar with Hadoop Big Data ecosystem (Hive, Spark, Pig, Sqoop) an asset.
                                • Demonstrated experience developing and implementing recommendation engines in a multi-channel marketing environment an asset
                                • Strong business acumen: understanding of business and financial models and ability to link communication tactics to strategic objectives from a financial perspective
                                • Self-motivated, strong quantitative skills, attention to detail, a high aptitude for problem solving and a natural interest in understanding customer behavior
                                • +
                                +

                                +

                                What's in it for you?

                                +

                                +
                                • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
                                • We provide you with the tools and technology needed to succeed
                                • You'll get to work with and learn from diverse industry leaders
                                • We offer a competitive total rewards package that includes a base salary, a performance bonus, company matching programs (on pension & profit sharing), 4 weeks of vacation, personal & sick days, paternity/maternity leave top-ups and much more.
                                • +
                                +

                                +

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Data-Scientist-Customer-Insights-Data-&-Analytics-ON-M5C2W1/567968617/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-03-30T17:27:03.581Z,False,0,8,65,https://talenthub.vectorinstitute.ai/jobs/203172169-data-scientist-customer-insights-data-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Data-Scientist-Customer-Insights-Data-&-Analytics-ON-M5C2W1/567968617/,expired,2023-03-09T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Senior Level,Masters Degree,New Posting, +d171a3d7-7f34-46fd-a2a8-552ee215d556,208690163,BMO Financial Group,"Analyst, Customer Segments, Summer 2023 (Co-op/Internship) 4 months",on_site,"Ontario, Canada",2023-03-25T17:12:02.180Z,"
                                +

                                Address:

                                55 Bloor Street West

                                +

                                +

                                Job Family Group:

                                Data Analytics & Reporting

                                +

                                +

                                +

                                +

                                Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

                                +
                                  +
                                • Builds effective relationships with internal/external stakeholders.
                                • +
                                • Leads/participates in the design, implementation and management of new analytics & reporting solutions.
                                • +
                                • Designs, develops, and implements innovative analytical solutions.
                                • +
                                • Designs and produces regular and ad-hoc reports, and dashboards.
                                • +
                                • Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
                                • +
                                • Structures and assembles data into multi-dimensions with various granularities (e.g., demographics, customers, products, transactions).
                                • +
                                • Monitors and tracks tool performance, user acceptance testing, and addresses any issues.
                                • +
                                • Integrates information from multiple sources to enable more efficient processes, enhanced analysis and/or streamlined reporting.
                                • +
                                • Designs, develops, and implements innovative analytical solutions.
                                • +
                                • Designs and produces regular and ad-hoc reports, and dashboards.
                                • +
                                • Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
                                • +
                                • Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
                                • +
                                • Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
                                • +
                                • Analyzes data and information to provide subject-matter insights and recommendations.
                                • +
                                • Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
                                • +
                                • Documents and maintain operational procedures and processes relating to analytical and reporting processes.
                                • +
                                • Builds effective relationships with internal/external stakeholders.
                                • +
                                • Collaborates with internal and external stakeholders in order to deliver on business objectives.
                                • +
                                • Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
                                • +
                                • Exercises judgment to identify, diagnose, and solve problems within given rules.
                                • +
                                • Works independently on a range of complex tasks, which may include unique situations.
                                • +
                                • Broader work or accountabilities may be assigned as needed.

                                  Qualifications:

                                  +
                                • +
                                • Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
                                • +
                                • Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Very good.
                                • +
                                • Technical proficiency gained through education and/or business experience.
                                • +
                                • Verbal & written communication skills - In-depth.
                                • +
                                • Collaboration & team skills - In-depth.
                                • +
                                • Analytical and problem solving skills - In-depth.
                                • +
                                • Influence skills - In-depth.
                                • +
                                • Data driven decision making - In-depth.
                                • +
                                +

                                +

                                +

                                We’re here to help

                                +

                                +

                                At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

                                +

                                +

                                As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

                                +

                                +

                                To find out more visit us at https://jobs.bmo.com/ca/en.

                                +

                                +

                                BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

                                +

                                +

                                Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

                                +
                                ",,https://bmo.wd3.myworkdayjobs.com/en-US/External/job/Toronto-ON-CAN/Analyst--Customer-Segments--Summer-2023--Co-op-Internship--4-months_R230003410?jobFamilyGroup=c3170091f3cd01924064646ad000c620&jobFamily=c3170091f3cd016461019627d000da1f&jobFamily=c3170091f3cd0138ee778f27d000b81f&State__Region__Province=218a720b28a74c67b5c6d42c00bdadfa&company=99ba898c88ac011c8a873c01f2016c06,feed-importer@jobboard.io,https://jobs.bmo.com/ca/en,,,2023-04-06T17:17:03.658Z,False,0,6,20,https://talenthub.vectorinstitute.ai/jobs/208690163-analyst-customer-segments-summer-2023-co-op-internship-4-months-at-bmo-financial-group,,expired,2023-03-25T17:12:00.000Z,import-xml-feed:BMO-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, +ee6fed05-60f8-475d-ae5f-973cb2d79597,206568796,Scotiabank,Automotive Risk Strategy & Analytics,on_site,Canada : Ontario : Toronto,2023-03-20T17:22:02.258Z,"

                                +

                                +

                                +

                                +

                                Requisition ID: 175543

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +

                                +

                                Purpose of Job:

                                +

                                +

                                The Manager, Portfolio Insights, SDA Risk, GRM will monitor key risk performance of the Retail Automotive portfolio, and contribute to the
                                development and enhancement of business intelligence tools and provide actionable insight to the Automotive Risk teams as well as product and
                                business line partners.

                                +


                                The role is highly technical and requires expert SAS, data analytics and BI tools knowledge, as well as ability to optimize and maximize
                                efficiency of existing processes. The incumbent will deliver strategic analysis to senior management while working with multiple stakeholders
                                and partners to facilitate development of Risk-Reward opportunities. He/She will develop optimal analytical methodologies to assess the growth
                                opportunities, and monitor results.

                                +

                                +

                                Job Responsibilities:

                                +

                                +

                                Accountability 1: Automotive Credit Risk Portfolio Tracking

                                +


                                • Use a variety of Business Intelligence analytical and reporting tools (ex. SAS, Python, Tableau) to provide dynamic reporting on key
                                performance metrics to various stakeholders in GRM and business lines. Lead new report creation and look for opportunities to optimize
                                workstream.
                                • Provide actionable insights and meaningful messages from the reporting to drive credit risk decisions. Able to tell a story by synthesizing
                                vast amounts of data into coherent messages.
                                • Proactively provide strategic analysis that will assist in optimizing risk rewards ratios and grow the portfolios
                                • Collaborate with Strategy and Policy teams to provide measurement and reporting on strategic initiatives such as acquisition dynamics
                                and quality, line optimization and collections effectiveness
                                • Analyze strategy effectiveness , leverage champion/challenger capabilities to confirm assumptions and recommend changes, identify if
                                any credit risks are or will become in excess of the risk appetite framework and make recommendations on how to mitigate.

                                +

                                +

                                Accountability 2: Customer Focus

                                +


                                • Champion a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge.
                                • Understand how the Bank’s risk appetite and risk culture should be considered in day-to-day activities and decisions.

                                +

                                +

                                Accountability 3: Innovation

                                +


                                • Explore opportunities for using latest innovative analytics and Business Intelligence tools to showcase portfolio dynamics, derive
                                insights and streamline processes
                                • Aim to move from descriptive to prescriptive analytics by focusing on key drivers of portfolio risk and profitability

                                +

                                +

                                Accountability 4: Risk Appetite Framework alignment

                                +


                                • Ensure all business line strategic priorities (i.e. life-cycle strategies, early warning triggers, provisioning, etc.) are consistent with Risk
                                Appetite Framework. Recommend changes to business line strategies to ensure the Bank does not take on more credit risk than
                                planned.
                                • Actively pursue effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and
                                effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF
                                risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory
                                Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.

                                +

                                +

                                Job Requirements:

                                +

                                +
                                • Bachelor's or Graduate Degree in Math, Engineering, Computer Science, Marketing, Economics or Statistics
                                • 3+ years analytical experience required
                                • Must be proficient with MS Office, SAS, SQL, Python, Power BI, Tableau
                                • Strong communication skills essential with clients and management
                                • Strong prioritizing, planning, analytical, presentation, project management, people management and relationship building skills
                                • 1+ years’ experience in Retail Products is a great asset
                                • +
                                +

                                +

                                Location(s): Canada : Ontario : Toronto

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/job/Toronto-Automotive-Risk-Strategy-&-Analytics-ON-M5H1B6/568728117/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-06T17:27:06.974Z,False,0,3,17,https://talenthub.vectorinstitute.ai/jobs/206568796-automotive-risk-strategy-analytics-at-scotiabank,https://jobs.scotiabank.com/job/Toronto-Automotive-Risk-Strategy-&-Analytics-ON-M5H1B6/568728117/,expired,2023-03-20T17:22:00.000Z,import-xml-feed:Scotiabank,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, +594bc3d7-fe54-49f4-9809-7b0fe341422d,202420409,Scotiabank,"Manager, AI and Machine Learning",on_site,"Ontario, Canada",2023-03-07T18:12:28.541Z,"

                                Requisition ID: 168147

                                Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

                                +


                                Purpose

                                +

                                The role Manager, AI and Machine Learning, AML/ATF Models and Analytics is responsible for applying sophisticated statistical and AI/Machine Learning technique to develop and implement better models and solutions for Transaction Monitoring, Payment and Name Screening and Client risk Rating.

                                +

                                This role contributes to the overall success of the Global Risk Management’s AML/ATF team by ensuring specific individual goals, plans, and initiatives are executed / delivered in support of the team’s business strategies and objectives, and ensures all activities conducted are in compliance with governing regulations, internal policies and procedures.

                                +

                                Accountabilities

                                +
                                  +
                                • Apply sophisticated modeling techniques, including AI and Machine learning, to develop and implement innovation models and solutions for the Bank's AML program.
                                • +
                                • Research and understand the latest advances in AML/ATF analytics and predictive models to a wide range of products and services across the enterprise customer base in order to continually enhance the model performance for AML/ATF and ABAC models
                                • +
                                • Participate with, the model development teams to scope, understand and appropriately document AML/ATF risk, develope and update statistical approaches with longer term strategies to mitigate this risk and improving the model performance across products and services globally
                                • +
                                • Contribute to the development of optimal AML/ATF strategic alternatives by identifying and presenting opportunities for the effective deployment of analytics for AML program
                                • +
                                • Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge
                                • +
                                • Actively pursues effective and efficient operations of his/her respective areas, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational risk, regulatory compliance risk, AML/ATF risk and conduct risk, including but not limited to responsibilities under the Operational Risk Management Framework, Regulatory Compliance Risk Management Framework, AML/ATF Global Handbook and the Guidelines for Business Conduct.
                                • +
                                • Assist the team in ensuring all procedures and practices are complied with regulatory and internal requirements
                                • +
                                +

                                Skills / Experience

                                +

                                Experience with statistical modeling and data science methods

                                +

                                Experience programming in Python, Scala, R and C++. Experience with databases such as Oracle or SQL Server
                                AML/ATF (including ABAC) experience or analytical knowledge

                                +

                                Education

                                +

                                Master’s degree or higher in science, technology, engineering or mathematics

                                +

                                Location(s): Canada : Ontario : Toronto

                                +

                                Scotiabank is a leading bank in the Americas. Guided by our purpose: ""for every future"", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

                                At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

                                ",,https://jobs.scotiabank.com/Scotiabank%20(default)/job/Toronto-Manager%2C-AI-and-Machine-Learning-ON-M5H1B6/565479817/,info@scotiabank.com,https://www.scotiabank.com/careers/en/careers.html,,,2023-04-06T18:12:39.178Z,True,0,19,148,https://talenthub.vectorinstitute.ai/jobs/202420409-manager-ai-and-machine-learning-at-scotiabank,,expired,2023-03-07T18:12:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Masters Degree,New Posting, +44bcefa4-7aa8-4ee3-86d0-a61c4dd3f463,211705897,NVIDIA,"Solutions Architect, Conversational AI Technology",on_site,"Ontario, Canada",2023-04-03T17:42:04.425Z,"
                                +

                                NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Data Science focused Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL) and Data Science platforms. In particular we are looking for a candidate with understanding of modern Natural Language Processing (NLP), Automatic Speech Recognition (ASR) or Text To Speech (TTS) workflows. Exposure to inferencing technology (e.g. understanding of model compression techniques, model compilation or model serving) in the above mentioned space would be an added value. In our Solutions Architecture team, we work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence. We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone always thinking about artificial intelligence, someone who can maintain synergy in a fast paced, rapidly evolving field, someone able to coordinate efforts between corporate marketing, industry business development and engineering.

                                +

                                +

                                You will be working with the latest HPC architectures coupled with bleeding edge NLP, ASR and TTS models, changing the way people interact with technology. As a Solutions Architect, you will be the first line of technical expertise between NVIDIA and our customers. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key executives and managers in order to evangelize accelerated computing. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns.

                                +

                                +

                                What You’ll Be Doing:

                                +
                                  +
                                • Develop and demonstrate solutions based on NVIDIA’s state-of-the-art NLP, ASR, TTS and broader Conversational AI software and hardware technologies to customers

                                • +
                                • Work directly with key customers to understand their technology and provide the best solutions

                                • +
                                • Perform in-depth analysis and optimization to ensure the best performance on GPU architecture systems. This includes support in optimization of both training and inference pipelines.

                                • +
                                • Partner with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations

                                • +
                                • Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures.

                                • +
                                • Work closely with customer\'s data science and IT teams

                                • +
                                +

                                +

                                What We Need to See:

                                +
                                  +
                                • Excellent verbal, written communication, and technical presentation skills in English.

                                • +
                                • MS/PhD in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields

                                • +
                                • 5+ years work or research experience with Python, C++ software development

                                • +
                                • A proven track record of academic and/or industry experience in fields related to machine learning, deep learning and/or data science.

                                • +
                                • Work experience and knowledge or modern NLP, ASR or TTS.

                                • +
                                • You are excited to work with multiple levels and teams across organizations (Engineering, Product, Sales and Marketing team)

                                • +
                                • Capable of working in a rapidly changing environment without losing focus.

                                • +
                                • Ability to multitask effectively in a fast-paced environment.

                                • +
                                • Action-oriented with strong analytical and problem-solving skills.

                                • +
                                • Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects

                                • +
                                • You are a self-starter with attitude for growth, passion for continuous learning and sharing findings across the team

                                • +
                                +

                                +

                                Ways to Stand Out from The Crowd:

                                +
                                  +
                                • Experience running large scale distributed DL training.

                                • +
                                • Background with working with larger transformer based architectures for NLP, CV, ASR or other.

                                • +
                                • Experience applying NLP, ASR, TTS technology and its deployment to production.

                                • +
                                • Experience using DevOps technologies such as Docker, Kubernetes, Singularity, etc.

                                • +
                                • Understanding of HPC systems: data center design, high speed interconnect InfiniBand, Cluster Storage and Scheduling related design and/or management experience.

                                • +
                                +

                                +

                                +

                                +

                                +
                                ",,https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/UK-Reading/Solutions-Architect--Conversational-AI-Technology_JR1965377,feed-importer@jobboard.io,,,,2023-04-06T17:47:03.358Z,False,0,9,21,https://talenthub.vectorinstitute.ai/jobs/211705897-solutions-architect-conversational-ai-technology-at-nvidia,,expired,2023-04-03T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Technology (Product Development),Senior Level,Masters Degree,New Posting, a348979b-1a9f-4221-b611-96708e13df77,211705896,NVIDIA,Senior AI Solutions Architect,on_site,"Ontario, Canada",2023-04-03T17:42:04.333Z,"

                                NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Data Science focused Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL) and Data Science platforms. Exposure to inferencing technology (e.g., understanding of model compression techniques, model compilation or model serving) would be an added value. In our Solutions Architecture team, we work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence. We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone always thinking about artificial intelligence, someone who can maintain synergy in a fast paced, rapidly evolving field, someone able to coordinate efforts between corporate marketing, industry business development and engineering.

                                @@ -347528,74 +356470,6 @@ d6a15c31-eead-4b95-ab7d-fb8ef232f972,222295545,BenchSci,Senior Machine Learning

                                At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

                                ",,https://jobs.td.com/en-CA/jobs/18339803/data-steward-i-toronto-ca/,info@tdbank.ca,https://jobs.td.com/en-CA/,,,2023-05-20T18:03:55.491Z,False,0,6,34,https://talenthub.vectorinstitute.ai/jobs/217073698-data-steward-i-at-td-bank-group,https://jobs.td.com/en-CA/jobs/18339803/data-steward-i-toronto-ca/,expired,2023-04-20T17:24:00.000Z,import-xml-feed:TD-Bank-Group---Job,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, -4634ad35-981e-4381-8e7f-46b33dbcac39,217075575,TELUS,"Manager, Data Engineering (MDM)",on_site,"Ontario, Canada",2023-04-20T17:42:03.325Z,"
                                -
                                -

                                Description

                                -
                                -

                                -

                                Our team and what we’ll accomplish together

                                -

                                -

                                We are searching for a talented candidate to become our team’s Manager, MDM & Business Operations Insights. Reporting to the Director – Enterprise Data Engineering, the successful candidate will be responsible for leading a team of accomplished data analysts, engineers and architects supporting our data and analytics platform transformation. This role will be an agent of change and support the evolving strategy, data and analytics roadmaps of the enterprise data engineering team. The portfolio will focus specifically on the Master Data Management (MDM) workstream while also driving continuous improvement to our GCP engineering practices (common ingestion framework), CI/CD pipelines, DevOps, SRE, batch and real-time data ingestion, and addressing technical debt. Our team is a cloud first team and leverages the latest technologies to fuel our mission of driving value for TELUS via data enablement.

                                -

                                -

                                What you’ll do

                                -

                                -

                                At TELUS, we put ‘Customers First’. With a broad set of responsibilities and a high degree of visibility across the TELUS organization, the successful candidate will have the opportunity to:

                                -

                                -

                                -
                                  -
                                • Lead a team of talented data Analysts, Engineers and Architects to drive the modernization of our data platforms
                                • -
                                • Foster internal and external stakeholder relationships, including managing senior executive participants
                                • -
                                • Provide guidance to establish standards and best practices for building enterprise grade data pipelines
                                • -
                                • Work with our preferred Cloud service providers to align our roadmap based on their release schedule for services and product offerings
                                • -
                                • Construct comprehensive business cases and financial models leveraging various methods to support strategic projects and decisions with data driven insights
                                • -
                                • Utilize internal and external data points coupled with market research on marketplace dynamics impacting TELUS and the Data Strategy team to inform opportunities and risks for the team
                                • -
                                • Create technology roadmaps for business partners, executive management, and external audiences to enhance strategic decision making and support technology investment recommendations
                                • -
                                • Collaborate with key stakeholders to create, track and evolve the team scorecards and strategic imperatives
                                • -
                                • Support the annual strategic and financial planning process
                                • -
                                • Flex your communication, negotiation, and influencing skills, working with a broad set of internal stakeholders, executives and external partners
                                • -
                                • Mentor, lead, and support a diverse and very talented team of data professionals
                                • -
                                -

                                -

                                -
                                -
                                -
                                -

                                Qualifications

                                -
                                -

                                -

                                What you bring

                                -

                                -
                                  -
                                • You have experience in technical leadership, managing data platforms, business intelligence tools and setting architectural direction
                                • -
                                • You can communicate clearly and effectively in both technical and business matters able to translate technical considerations into business implications
                                • -
                                • You are analytical and outcome-oriented with a proven ability to translate business requirements into high-level design models
                                • -
                                • You have hands on knowledge of foundational cloud data architecture of lakes, warehouses, data modeling, and life cycle management
                                • -
                                • You have demonstrated experience with the governance and oversight of data privacy, security and the ethical use of data in previous roles
                                • -
                                • You have experience with cloud migration projects, agile methodologies, and DevOps practices
                                • -
                                • You have impressive people leadership track record with proven ability to recruit, coach, mentor and lead high performing teams in a fast-paced environment
                                • -
                                • You are a skilled relationship builder and skilled at prioritization, negotiation and influencing
                                • -
                                • You can pivot between supporting the urgent needs of the business and the long-term roadmap
                                • -
                                • You are flexible, adaptable and embrace ongoing change
                                • -
                                • You have experience working on and supporting large, complex technical projects that involve multiple stakeholders and business units
                                • -
                                • You have exposure to tools, technologies and programming languages including, but not limited to, Python, Airflow (composer), SQL, Apache Nifi, Hive, Spark, Dataflow (Apache Beam), Kafka, MDM, IICS & PowerCentre ETL
                                • -
                                • You have experience creating a vision for and implementing a culture of change to drive CI/CD, DevOps and other opportunities for operational effectiveness
                                • -
                                -

                                -

                                Great-to-haves

                                -

                                -
                                  -
                                • Bachelor of Computer Science or equivalent
                                • -
                                • 5+ years of progressive and relevant work experience with enterprise data
                                • -
                                • PMP certification is an asset
                                • -
                                • Experience with the data offerings in the Google Cloud Platform
                                • -
                                • Experience in the telecommunications industry
                                • -
                                • Excellent communication skills and ability to lead a large team
                                • -
                                -

                                -

                                -
                                -
                                -
                                ",,https://careers.telus.com/job/Toronto-Manager%2C-Data-Engineering-%28MDM%29-ON/568709417/,feed-importer@jobboard.io,,,,2023-05-20T18:42:04.383Z,False,0,1,8,https://talenthub.vectorinstitute.ai/jobs/217075575-manager-data-engineering-mdm-at-telus,,expired,2023-04-20T17:42:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Telecommunications,Mid-Senior Level,Bachelors Degree,New Posting, 8e14e403-e88b-489e-8643-f48aa8e9ea63,221079987,Sun Life Financial,Senior Analytics Consultant,on_site,"Ontario, Canada",2023-05-01T17:41:01.797Z,"

                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You\'ll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you\'ll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                @@ -348178,6 +357052,84 @@ a9d50065-17b0-4268-8af3-b191bf18fef3,232858626,TELUS,Senior Data Scientist,on_si

                                #INDAV

                                ",,https://avidbots.bamboohr.com/careers/659,feed-importer@jobboard.io,,,,2023-06-16T02:23:02.313Z,False,0,9,49,https://talenthub.vectorinstitute.ai/jobs/232858621-software-developer-machine-learning-platform-mlops-at-avidbots,,expired,2023-06-05T16:15:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Technology (Product Development),Mid-Senior Level,Bachelors Degree,New Posting, +fe1a5f9e-0639-4127-9eb3-8d053e1f5966,236958273,Vector Institute,"Applied ML Scientist, Health Lead",on_site,"Ontario, Canada",2023-06-17T02:12:03.668Z,"

                                JOB DESCRIPTION

                                +

                                Applied ML Scientist, Health

                                +

                                POSITION OVERVIEW

                                +

                                As an Applied ML Scientist - Health, you will provide technical leadership and contribute to focused research breakthroughs and applications to solve real-world health problems with machine learning and AI. You will provide guidance and work with some of the best and brightest data scientists and machine learning (ML) engineering staff from leading industry and health organizations. You will collaborate with some of the leading machine learning researchers, data scientists and AI engineering teams. Publishing research papers on applied research is a part of this role, but the greatest focus is on the impact of applications, not on the quantity or quality of publications. We are seeking a scientist with research experience in Responsible AI in a deep learning context. Experience in Fairness, Explainability, Privacy, AI Safety, Recommender Systems, and Natural Language Processing are all valuable areas of knowledge for this role. This position is an individual contribution position and focused on providing technical leadership in implementation focused applied ML in health settings.

                                +

                                +

                                RESPONSIBILITIES

                                +
                                  +
                                • Lead research and implementation of varied machine learning and deep learning techniques in the health domain;
                                • +
                                • Work in collaboration with Vector’s Health team, and health sector partners to identify challenges in the health domain that can be solved using advanced ML techniques such as NLP, Computer Vision, Generative Models etc.;
                                • +
                                • Provide technical guidance to AI Engineering team members and lead delivery of applied ML projects in health;
                                • +
                                • Provide scientific advice regarding overall machine learning application strategies and roadmaps for the health domain;
                                • +
                                • Work in collaboration with Researchers, Machine learning specialists, and Vector affiliates to build demos, minimum viable products (MVP), reference implementations, and prototypes;
                                • +
                                • Provide scientific oversight for Vector-led or co-led efforts to prepare and present machine learning research in the health domain;
                                • +
                                • Serve as the lead Vector scientific contributor for health, including contributing to or leading the authoring of peer-reviewed research papers;
                                • +
                                • Contribute to training sessions and other initiatives for Vector’s professional staff and stakeholders that help increase AI knowledge and capacity of the health system to recognize and act on opportunities to apply machine learning;
                                • +
                                • Serve as an expert and facilitate identification of experts among Vector’s research community for external stakeholders to advise on machine learning research trends and applications;
                                • +
                                • Perform other functions as required e.g., providing scientific advice and technical support to other members of Vector’s leadership team and corporate projects led by Vector.
                                • +
                                +

                                +

                                PROFILE OF IDEAL CANDIDATE

                                +
                                  +
                                • PhD degree in computer science or computer engineering with a research focus on machine learning required;
                                • +
                                • Demonstrated expertise in one or more of: ML for health, Explainable AI, AI Safety, privacy for AI/ML, AI governance, Nature Language Processing (NLP), Natural Language Understanding and generation;
                                • +
                                • Demonstrated experience applying machine learning research to novel problems and data sets;
                                • +
                                • Experience with software engineering and/or data engineering is considered an asset;
                                • +
                                • Strong knowledge and experience of Python;
                                • +
                                • Experience with parameter and architecture tuning of deep learning algorithms;
                                • +
                                • Experience using open source deep learning software frameworks (e.g, PyTorch, Tensorflow, JAX); and,
                                • +
                                • Experience with recommendation systems is considered an asset.
                                • +
                                +

                                +

                                KEY SUCCESS MEASURES

                                +
                                  +
                                • Vector is successful in implementing its health strategy (including the strategic goal to support the widespread application of Health AI) and the industry sponsor retention strategy
                                • +
                                • Stakeholders that would otherwise be unable to utilize machine learning techniques are supported in identifying problems amenable to AI, and in utilizing machine learning
                                • +
                                • Following interactions with the Vector team, external stakeholders are positioned to perform, or secure external resources to perform, their own machine learning deployment independent of direct Vector involvement
                                • +
                                +

                                ",,https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=4ed2be93-8bc5-40e2-915f-931884eac404&ccId=9200420850870_2&jobId=447769&lang=en_CA&source=Vector_talent_hub,aimasters@vectorinstitute.ai,https://vectorinstitute.ai,,,2023-07-11T02:17:02.751Z,False,0,6,41,https://talenthub.vectorinstitute.ai/jobs/236958273-applied-ml-scientist-health-lead-at-vector-institute,,expired,2023-06-17T02:12:00.000Z,import-xml-feed:Vector-Institute-Job,Scaling (20-499),Application Click Through,Public Administration (i.e Gov't),Associate,PhD,New Posting, +cdf11f7a-137a-4c96-a376-1b63c1058dab,243217468,Clearpath,Autonomy Developer - Perception,on_site,"Ontario, Canada",2023-07-05T02:18:06.529Z,"

                                Description

                                +

                                Position: Autonomy Developer - Perception
                                Location: Kitchener-Waterloo, Ontario
                                Job Type: Full-Time Permanent
                                Experience: 3+ Years Relevant Work or Academic Experience
                                Education: Graduate Degree in Related Field
                                Division: OTTO Motors

                                +

                                About OTTO™ Motors (Division of Clearpath Robotics)

                                +

                                OTTO™ Motors is a growing, disruptive company, making material handling in industrial settings safer, easier, and more efficient through development of hardware and software that automates movement of goods in busy factories and warehouses. The company’s industry-leading self-driving technology provides automated and on-demand material handling in the most demanding industrial environments, spanning automotive, medical device, aerospace, logistics, and more. Customers trusting their mission-critical material handling needs to OTTO Motors include Fortune 100 brands GE, Toyota, and Caterpillar. For more information visit www.ottomotors.com.

                                +

                                About the Job

                                +

                                We\'re looking for a driven, resourceful and motivated candidate for the Senior Perception Developer - Calibration and Sensors position. This person will take a leading role in the development of calibration and sensor algorithms for autonomous mobile robots.

                                +

                                The Perception Team’s primary responsibility is the development of the core robotics software responsible for environmental sensing and understanding on all of our vehicles. As a Senior Perception Developer - Calibration and Sensors, you will develop and maintain algorithms and processes for the complete continuous calibration and monitoring of robotic systems. You will be creating solutions to the challenging problems of high accuracy intrinsic and extrinsic calibration of heterogeneous sensor configurations and actuators, as well as online calibration and sensor processing and monitoring for a wide range of possible robotic platforms. You will be responsible for evaluating state-of-the-art ideas from academia and industry, and taking these ideas out of the lab and into the real world, identifying opportunities to improve, and developing high-performance software to run in real time on robots. As part of the Perception Team you will continue to advance the cutting edge of robotics research through collaboration with our academic partners and contributions to research publications and open source initiatives.

                                +

                                About You

                                +

                                For the role of Senior Perception Developer - Calibration and Sensors, we are seeking an experienced developer to develop, support, maintain, and extend robotic calibration solutions for real world applications.

                                +

                                Your primary responsibilities will be:

                                +
                                  +
                                • Creating robust innovative solutions to the problems of robotic calibration and perception
                                • +
                                • Developing custom calibration, sensor monitoring, sensor filtering, and perception algorithms
                                • +
                                • Evaluating new sensing technology and robotic platforms
                                • +
                                • Working with production and hardware teams to develop processes for sensor calibration methods
                                • +
                                • Supporting the deployment and testing of robotic systems
                                • +
                                +
                                  +
                                • Collaborating with various internal teams, as well as academic and industrial partners
                                • +
                                • Staying up to the date with the latest developments from academia and industry
                                • +
                                +

                                Skills and experience:

                                +
                                  +
                                • Graduate degree in engineering/CS or a related field, with applicable background.
                                • +
                                • Strong theoretical and practical understanding of the challenges and solutions to the problems of robotic system calibration.
                                • +
                                • Practical knowledge of sensing technologies including LIDAR, Cameras, IMU, and their error models.
                                • +
                                • Familiarity with robotic platforms and their motion models such as differential, ackerman, bicycle, etc.
                                • +
                                • Strong software development skills in modern C++.
                                • +
                                • Understanding of software development workflows, life cycles and development methodologies and tools.
                                • +
                                • Hands-on experience with real world autonomous systems.
                                • +
                                +

                                Bonus points for:

                                +
                                  +
                                • Experience writing efficient, high performance code.
                                • +
                                • Experience with ROS, Gazebo, OpenCV and PCL.
                                • +
                                • Familiarity with linear algebra and nonlinear optimization techniques and libraries such as Ceres, GTSAM, g2o and Eigen.
                                • +
                                • Understanding of sensor error modeling, particularly laser rangefinders and vision systems.
                                • +
                                • Experience with manufacturing tolerances of robotic systems
                                • +
                                +

                                Clearpath is committed to supporting a culture of diversity and accessibility across the organization. We hire the best talent regardless of race, color, creed, national origin, ancestry, disability, marital status, age, sex, gender identity/expression, veteran status or sexual orientation. If you require special accommodation to complete any portion of the application or interview process, please contact 1-800-301-3863.

                                ",,http://jobs.jobvite.com/clearpath/job/o4dRlfwd,feed-importer@jobboard.io,,,,2023-07-14T02:23:03.254Z,False,0,3,27,https://talenthub.vectorinstitute.ai/jobs/243217468-autonomy-developer-perception-at-clearpath,,expired,2023-07-05T02:18:00.000Z,import-xml-feed:Selenium-Scraper,Scaling (20-499),Application Click Through,Manufacturing ,Mid-Senior Level,Masters Degree,New Posting, 129d42a5-9849-437e-9d6d-69a425260395,231447106,Loblaw Companies Ltd,"Data Analyst, Product",on_site,"Ontario, Canada",2023-06-01T15:41:01.711Z,"

                                Referred applicants should not apply directly to this role.

                                All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

                                @@ -348595,27 +357547,180 @@ d1162058-aa91-4b7d-a2d9-ad15b46a9b14,232594483,Loblaw Companies Ltd,Data Analyst

                                Join our Talent Community

                                Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

                                Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers.

                                ",,https://jobs.rbc.com/ca/en/job/R-0000057635/2023-GRM-Fall-Global-Risk-Analytics-4-Months,reshmi.raveendran@rbc.com,https://jobs.rbc.com/ca/en/,,,2023-06-19T23:52:00.000Z,False,0,13,50,https://talenthub.vectorinstitute.ai/jobs/228135963-2023-grm-fall-global-risk-analytics-4-months-at-rbc,,expired,2023-05-22T15:47:00.000Z,import-xml-feed:RBC-Job-Feed,Enterprise (500+),Application Click Through,Financial Services,Internship/Co-op,Bachelors Degree,New Posting, -33efc8c5-4627-45f3-b6fc-11cb5b655d57,235578626,Google,"Student Researcher, MS, 2023",on_site,"Toronto, ON, Canada",2023-06-12T15:51:02.676Z,"

                                Minimum qualifications:

                                +a8df7c55-e341-414b-aa90-8d58b4b9b00e,236452843,Magna International,Programmer,on_site,"Vaughan, ONTARIO, CA, L4K 2K1",2023-06-15T16:04:02.940Z,"
                                +
                                +

                                Qualifications

                                +
                                • Bachelor’s Degree or Diploma in Engineering or Computer Science or equivalent function-related training.
                                • Understanding of Manufacturing Execution Systems, Warehouse Management Systems, Inventory control, and Automation.
                                • Minimum 5 years related work experience in manufacturing environment.
                                • Experience with SQL Server, MS-SQL queries and stored procedures, database design, networking.
                                • Strong knowledge of Visual Basic, C#, .Net, Windows Forms, Web forms, MS Access, JavaScript, Power BI and Power Apps.
                                • Computer literacy in business applications and knowledge of ERP systems.
                                • Excellent organizational, planning, and English communication skills.
                                • Exceptional analytical and creative problem-solving skills.
                                • +
                                +
                                +
                                +

                                DESIRABLE ADDITIONAL QUALIFICATIONS

                                +

                                • Experience with Solidat MES.
                                • Experience with PLCs (Allen Bradley, Omron, Siemens), Kepware OPC Client and Server.
                                • Automotive manufacturing background, preferably within Magna.
                                • Experience with Intermec label printers and Zebra scanners.
                                • Exposure to ERP systems such as SAP, QAD or Trans4m.
                                • Automotive manufacturing experience

                                +
                                +
                                +

                                MAIN TASKS & RESPONSIBILITIES

                                +

                                • Design, develop and implement applications based on customer requirements.
                                • Overall responsibility for Kepware and SQL servers along with related applications.
                                • Responsible for ensuring the integrity of production and shipping schedules in ERP and in related software.
                                • Responsible for documenting Mytox application procedures, including communication, release verification, and updates.
                                • Contribute to continuous improvement and cost reduction activities.
                                • Performs all job functions abiding by the office/work standards, policies and procedures as outlines in the company handbook.
                                • Performs all job functions in alignment with IATF 16949 quality management standards and ISO 14001
                                • Actively participates in continuous improvement
                                • Maintain 5S standards in working environment
                                • Attend training based on Mytox’s internal training matrix
                                • Performs all job functions in a safe, healthful and environmentally conscious manner, abiding by all health, safety and environment rules and regulations as outlined in the company handbook
                                • Performs other duties as assigned or any reasonable request by management.

                                +
                                +
                                +

                                Additional Information

                                +

                                Accommodations for disabilities in relation to the job selection process are available upon request.

                                +
                                +
                                +

                                Awareness. Unity. Empowerment.

                                +

                                At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.

                                +
                                +
                                ",,https://jobs.magna.com/job/Vaughan-Programmer-ONTA-L4K-2K1/571218517/?utm_source=VectorInstitute,feed-importer@jobboard.io,,,,2023-07-16T01:25:41.899Z,False,0,5,72,https://talenthub.vectorinstitute.ai/jobs/236452843-programmer-at-magna-international,https://jobs.magna.com/job/Vaughan-Programmer-ONTA-L4K-2K1/571218517/,expired,2023-06-15T16:04:00.000Z,import-xml-feed:Scrapy-Scraper,Enterprise (500+),Application Click Through,Manufacturing ,Mid-Senior Level,Bachelors Degree,New Posting, +35465711-f06c-49f5-815d-2e11df4ef928,243217434,CN,Expert Data Platform Architect,on_site,"Ontario, Canada",2023-07-05T02:18:02.938Z,"
                                +

                                +
                                At CN, we work together to move our company—and North America—forward. Be part of our Information & Technology (I&T) team, a critical piece of the engine that keeps us in motion. From enterprise architecture to operational technology, our teams use the agile methodology to automate and digitize our railroad ensuring our operations run optimally and safely and our employees can focus on value-added tasks. You will be able to develop your skills and career in our close-knit, safety-focused culture working together as ONE TEAM. The careers we offer are meaningful because the work we do matters. Join us!
                                +

                                +
                                Job Summary
                                +
                                +

                                CN Data Services (CNDS) is seeking an Expert Data Platform/Systems Architect to lead the delivery of critical Data Platform solutions. As a full stack architect, you will lead the architecture of cloud data platforms and to drive the creation industry leading cloud data platform.

                                +

                                You will define practical architectures that ensure the performance, scalability, cost and maintainability of complex distributed systems that will support the business needs and that will align with the CN directions and standards.

                                +

                                You will also contribute to the definition of strategic technology directions and define continuous improvement objectives in collaboration with CN Data Services leadership team

                                +
                                +
                                Main Responsibilities
                                +

                                +
                                Data Platform Architecture and Delivery
                                +

                                · Lead the delivery of Canadian National Data Services (CNDS) initiatives including the data platform and operational data products

                                · Create systems architectures and modernization strategies related to data platforms

                                · Complete systems integrations and ingestion design patterns, Data Lake, Data Lake House, and Data Warehouse architecture along with target and transitions architectures and roadmaps

                                · Design and optimize platform and integration strategies for the cost-effective delivery of scalable and reliable distributed systems

                                · Resolve Total Cost of Ownership (TCO) and Return on Investment (ROI) for the data platform and data products

                                · Work with Enterprise Architecture to align and introduce new solutions and technologies

                                · Work with Solution Architects to ensure the data platform is integrated into a solution efficiently

                                Data Platform Architecture Practice Evolution

                                · Evaluate current and emerging technologies

                                · Lead the CNDS team, fostering a culture of design thinking, brainstorming, efficiency, and balancing vision with practicality

                                · Define architecture and engineering standards, patterns and best practices

                                · Influence CNDS leadership with effective communication of proposals, directions and strategic decision making

                                Working Conditions

                                The role has standard working conditions in an office environment with a regular workweek from Monday to Friday. Due to the nature of the role, the incumbent must be able to meet tight deadlines, handle pressure, and stress. The role requires minimal travel (up to 10%), within Canada and the United States (U.S.).

                                Requirements

                                Experience

                                Data Architecture

                                · Minimum 12 years of experience with applications, data, and cloud

                                o Minimum 5 years of experience as an architect with technology architecture covering big data, data engineering, data analytics, systems integration, and distributed computing

                                o Minimum 3 years of experience as senior architect using cloud technologies and big data technologies including data analytics

                                Education/Certification/Designation

                                · Bachelor’s Degree in a technology-related field or equivalent experience

                                Competencies

                                · Inspires others with impactful communications and adapts to the audience through speech and writing

                                · Applies analytical thinking

                                · Innovates through problem solving

                                · Knows the business and stays current with industry trends to elevate expertise and work

                                · Demonstrates organizational abilities

                                · Collaborates with key internal stakeholders to enable higher productivity

                                · Works independently with little supervision

                                Technical Skills/Knowledge

                                +
                                +

                                +

                                § Strong Experience architecting and building enterprise grade products

                                +

                                § Strong Experience with Azure and GCP cloud Data Platforms, Data Analytics and Data Engineering

                                +

                                o Azure Databricks is a must

                                +

                                o Azure Data Lake Gen2

                                +

                                o Azure Data Factory

                                +

                                o Azure Data Explorer

                                +

                                o Azure KeyVault

                                +

                                o Azure Event Hub and Event Grid

                                +

                                o Google BigQuery

                                +

                                o Google Dataproc

                                +

                                o Google Cloud Data Fusion

                                +

                                o Google Dataflow

                                +

                                o Google Cloud Composer

                                +

                                o Google Dataprep

                                +

                                o Google Dataplex

                                +

                                o Google BigLake

                                +

                                o Google Storage

                                +

                                o Google Key Management

                                +

                                o Google Vertex

                                +

                                § Strong Experience with data and analytics architectures and concepts

                                +

                                o Batch and streaming cloud architectures

                                +

                                o Lambda architecture

                                +

                                o Kappa architecture

                                +

                                o ETL and ELT pipelines

                                +

                                o Data and Analytics cloud architecture

                                +

                                o Lake House Architecture

                                +

                                o Data Fabric

                                +

                                o Data Mesh

                                +

                                o Cloud Data Warehouse

                                +

                                § Distributed Systems & Enterprise Messaging Architecture

                                +

                                o Experience with Async Communications and Reliable Messaging

                                +

                                o Experience with Event Driven Architecture - Pub-Sub, Kafka, MQ, MQTT, AMQP, Event Hub, Logstash

                                +

                                § A2A & B2B Integration Architecture

                                +

                                o Experience with SOA architecture, patterns and implementation

                                +

                                o Experience with Integration of Transactions, Data, Streaming, Batch, Files, APIs

                                +

                                § Data & Database Architectures

                                +

                                o Domain Driven Design data modeling

                                +

                                o OLTP/OLAP

                                +

                                o SQL, NoSQL, Document (MongoDB), Graph, Search

                                +

                                o Caching – Hazelcast, Redis

                                +

                                § Cloud Architecture is an asset

                                +

                                o Experience architecting/operating solutions build on Azure, GCP, others

                                +

                                o Experience with IaaS, PaaS, SaaS systems

                                +

                                o Experience with infrastructure, networking and security in cloud-based delivery models

                                +

                                § DevOps architecture is an asset

                                +

                                o Experience working with DevOps, CI/CD/CT – Azure DevOps, GitHub, GitLab

                                +

                                § Experience with AI/ML technologies is an asset

                                +

                                § Experience in program & project scoping and planning with Agile process and tools

                                +

                                § Experience in delivering agile and iterative architectures

                                +

                                § Experience with Legacy Systems Modernization (Mainframe, Java, IIB, DataStage, Netezza) is a plus

                                +

                                +
                                About CN
                                +

                                +
                                CN is a world-class transportation leader and trade-enabler. Essential to the economy, to the customers, and to the communities it serves, CN safely transports more than 300 million tons of natural resources, manufactured products, and finished goods throughout North America every year. As the only railroad connecting Canada’s Eastern and Western coasts with the Southern tip of the U.S. through a 19,500 mile rail network, CN and its affiliates have been contributing to community prosperity and sustainable trade since 1919. CN is committed to programs supporting social responsibility and environmental stewardship. At CN, we work as ONE TEAM, focused on safety, sustainability and our customers, providing operational and supply chain excellence to deliver results.
                                +

                                +
                                For internal candidates, note that the grade level of the position will depend on the employee\'s experience.
                                +

                                +

                                +

                                +

                                +

                                CN is an employment equity employer and we encourage all qualified candidates to apply. We thank all applicants for their interest, however, only candidates under consideration will be contacted. Please monitor your email on a regular basis, as communication is primarily made through email.

                                +
                                ",,https://cn360.csod.com/ux/ats/careersite/1/home/requisition/10919?c=cn360&lang=en-US,feed-importer@jobboard.io,,,,2023-07-18T00:46:00.000Z,False,0,1,27,https://talenthub.vectorinstitute.ai/jobs/243217434-expert-data-platform-architect-at-cn,,expired,2023-07-05T02:18:00.000Z,import-xml-feed:Selenium-Scraper,Enterprise (500+),Application Click Through,Transportation,Senior Level,Bachelors Degree,New Posting, +070637bb-8992-40dd-ad28-47e6a5dac29e,243155637,Sun Life Financial,Senior Data Scientist (Health),on_site,"Toronto, ON, Canada",2023-07-04T17:57:36.419Z,"

                                You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

                                +

                                +

                                +

                                Job Description:

                                +

                                +

                                Role Summary

                                +

                                +

                                To support the vision of helping Canadians live healthier lives, Sun Life Health brings together Sun Life’s Group Benefits and Health Ecosystem businesses, including Lumino Health (an innovative platform launched in 2018). By uniting these two groups, Sun Life Health can deliver on transformative health solutions for both Clients and Canadians. If you’re passionate about improving health for Canadians, and like to take on big challenges in a supportive environment, the Data Science & Analytics (DSA) team in Sun Life Health is the right fit.

                                +

                                +

                                The DSA team is responsible for:

                                  -
                                • Currently enrolled in a Master's degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, or Natural Sciences.
                                  -
                                • -
                                • Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, etc.).
                                  -
                                • +
                                • Being the analytics translators to identify and deliver high-impact data science use cases
                                • +
                                • Building dashboards and reports to monitor progress and help extract valuable insights from vast amounts of data
                                • +
                                • Partnering with other Analytics/IT groups to leverage expertise of Data Engineers/Developers to explore and solve complex business problems
                                • +
                                • Supporting various teams within Sun Life Health to leverage best practices associated with data management and develop processes that support data driven decision making
                                -

                                Preferred qualifications:

                                +

                                +

                                The Senior Data Scientist’s primary focus is to lead the data and analytics initiatives for digital health products. in this role, you will be a thought partner and work closely with the assigned portfolio to assess data and analytics requirements. You will need to gain an in-depth understanding of the business needs, overall objectives and goals of different health initiatives, in order to propose use cases, ideas and solutions that enable the success of the relevant products.

                                +

                                +

                                What Will You Do?

                                  -
                                • Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
                                • -
                                • Currently attending a degree program in Canada.
                                • -
                                • Experience as a researcher, including internships, full-time, or at a lab.
                                • -
                                • Experience contributing to research communities or efforts, including publishing papers in conferences or journals.
                                  -
                                • -
                                • Experience with one or more general purpose programming languages (e.g., C/C++, Java, MATLAB, Go, Python, etc.).
                                  -
                                • -
                                • Ability to speak and write in English fluently.
                                • +
                                • Work with product to provide data and analytics expertise during discovery and to ensure analytics requirements are in place for new features/enhancements
                                • +
                                • Work with operations to ensure ongoing data needs are met by dashboards and to assess data and analytics ad-hoc needs
                                • +
                                • Identify potential data science/machine learning opportunities, create and execute end to end plan for implementation and delivery
                                • +
                                • Participate in the technical design, development, and testing of models/analysis and in the creation of user documentation and processes
                                • +
                                • Create and maintain ETL processes and automated dashboards that can be leveraged to find insights
                                • +
                                • Develop and present reporting solutions to key stakeholders and partners
                                • +
                                • Learn about business processes to analyze, interpret, and advise managers on analytical findings
                                • +
                                • Collaborate with stakeholders to ensure effective use of reporting and analysis, and provide support if needed
                                • +
                                • Understand and incorporate technology best practices with a primary focus on Tableau and Python
                                • +
                                • Diligently perform quality assurance and risk assessment guidelines to minimize operational, reputation, and legal risk
                                -

                                About the job

                                -

                                The Student Researcher Program’s primary objective is to foster academic collaborations with students through research at Google. Join us for a paid Student Researcher position that offers the opportunity to work directly with Google research scientists and engineers on cutting-edge research projects.

                                -

                                The Student Researcher Program offers more opportunities for research students to work on critical research projects at Google in a less structured way. The program allows for opportunities beyond the limitations of our traditional internship program on aspects such as duration, time commitment, and working location (with options for on-site or remote). The topics student researchers work on tend to be open-ended and exploratory, and don't always have a clear deliverable like a traditional internship would.

                                -

                                Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software engineers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.

                                -

                                Responsibilities

                                -
                                • Participate in research to develop solutions for real-world, large-scale problems.
                                ",,"https://careers.google.com/jobs/results/139843443313517254-student-researcher-ms-2023/?distance=50&location=Toronto,%20Canada&q=data",info@google.ca,https://careers.google.com/,,,2023-07-04T01:59:03.250Z,False,0,24,101,https://talenthub.vectorinstitute.ai/jobs/235578626-student-researcher-ms-2023-at-google,,expired,2023-06-12T15:51:00.000Z,import-xml-feed:Google-Job-Feed,Enterprise (500+),Application Click Through,Technology (Information and Media),Internship/Co-op,Masters Degree,New Posting, +

                                +

                                What Do You Need To Succeed?

                                +
                                  +
                                • Coding experience preferably in Python (minimum 3 years)
                                • +
                                • Experience with developing machine learning, statistical and optimization models and creating/maintaining visualizations and dashboards in Tableau (minimum 2 years)
                                • +
                                • Familiar with data science project life cycle
                                • +
                                • Strong problem solving and analytical skills
                                • +
                                • Demonstrated ability to produce meaningful results from data
                                • +
                                • Proven experience consolidating and analyzing data sources
                                • +
                                • Excellent written and verbal communication skills with experience in relaying complex concepts to non-technical users
                                • +
                                • Comfortable learning new applications quickly with minimal direction
                                • +
                                • Proven ability to work collaboratively within a cross functional team environment
                                • +
                                • Ability to succeed in a dynamic, fast-paced environment, and quickly find alternative solutions to business and data challenges
                                • +
                                • Attention to detail and in-depth planning, organizational and time management skills
                                • +
                                • Experience working with relational databases and creating data models with efficient design
                                • +
                                • Technical mindset with a degree in Computer Science, Statistics, Mathematics, Engineering, or other data science related fields, and 3-5 years of relevant experience. A graduate degree would be an asset, a combination of education and work experience will also be considered.
                                • +
                                • Experience with AWS SageMaker would be an asset.
                                • +
                                • Experience in healthcare and familiarity with health data would be an asset.
                                • +
                                +

                                +

                                Unique Requirements

                                +
                                  +
                                • The candidate selected for this role is required to attain Canadian Reliability Security Clearance (administered by submitting fingerprints to the RCMP, who then conduct min. 5 year history checks)
                                • +
                                • To see if you are eligible for this clearance, please review the section 201 on the Federal Government site (https://www.tpsgc-pwgsc.gc.ca/esc-src/personnel/pdcf-rsrp-eng.html)
                                • +
                                +

                                +

                                The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

                                +

                                +

                                Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

                                +

                                +

                                Persons with disabilities who need accommodation in the application process or those needing job postings in an alternative format may e-mail a request to thebrightside@sunlife.com.

                                +

                                +

                                At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

                                +

                                +

                                We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

                                +

                                +

                                Salary Range:

                                +

                                74,100/74 100 - 120,800/120 800

                                +

                                +

                                Job Category:

                                +

                                Advanced Analytics

                                +

                                +

                                Posting End Date:

                                +

                                16/07/2023

                                ",,https://sunlife.wd3.myworkdayjobs.com/en-US/Experienced-Jobs/job/Toronto-Ontario/Senior-Data-Scientist--Health-_JR00076952?q=data&Location_Country=a30a87ed25634629aa6c3958aa2b91ea&primaryLocation=07092c6e50bc0196a39a9c09192d5a12&primaryLocation=07092c6e50bc0127378d190c192de914&jobFamily=e3d0150f040210589473d239f729eb8f,aitalent@vectorinstitute.ai,https://www.sunlife.ca/ca/Careers,,,2023-07-18T00:43:00.000Z,False,0,11,106,https://talenthub.vectorinstitute.ai/jobs/243155637-senior-data-scientist-health-at-sun-life-financial,,expired,2023-07-04T17:57:00.000Z,admin,Enterprise (500+),Application Click Through,Financial Services,Mid-Senior Level,Bachelors Degree,New Posting, diff --git a/profileExport.csv b/profileExport.csv index a308bff..0a3f7de 100644 --- a/profileExport.csv +++ b/profileExport.csv @@ -1,24 +1,14 @@ id,email,fname,lname,profile_image_url,label,summary,phone,video,website,facebook,linkedin,twitter,hidden,confidential,resume,city,state,zip,country,provider,created_at,last_sign_in_at,open_to_remote,open_to_relocation,vector_affiliation_categories,approved_profile,vector_affiliation,if_you_are_associated_with_a_vector_faculty_or_faculty_affiliate_please_state_their_name_here,what_is_your_estimated_graduation_date_if_still_studying,if_you_chose_otherunsure_please_explain,preferred_pronoun,verified_linkedin_url,what_are_your_primary_areas_of_research_interest_please_select_the_top_3_from_the_list_below,what_is_your_highest_level_of_education_note_if_currently_enrolled_please_include_this_level,what_is_your_level_of_experience_this_could_be_through_internships_phd_research_experience_or_industry_experience_post_graduation,what_is_your_program_of_study,what_sectors_interest_you,opportunities_you_are_looking_for,what_types_of_roles_are_you_looking_for,which_ontario_university_did_you_attend_most_recent_education,Data Use Terms,Opt In,Privacy Policy,Privacy Statement -cb4c8236-ab8c-483f-a43c-121933096aab,duncan.forster@mail.utoronto.ca,Duncan,Forster,https://talenthub.vectorinstitute.ai/profiles/3164317/view_image/1660319349082.jpeg,PhD candidate studying approaches to biological network integration using deep learning. ,"I am a soon-to-graduate PhD student at the University of Toronto. My thesis work is to design, implement and validate a new approach to biological network integration for the purpose of identifying new subsystems of genes and proteins in the cell, thereby improving their functional characterization. I have implemented a state-of-the-art deep learning network integration algorithm called BIONIC which has been published in Nature Methods. - -My interests are broad, ranging from pure machine learning research (with an emphasis on graph neural networks, neural network architecture design and reinforcement learning), to applied deep learning algorithm design and open problems in computational biology and genomics (with a focus on in silico cellular modeling). I have a strong background in mathematics and computer science as well as an appreciation for the challenges of applying machine learning models to real world data. - -If you are interested in my skill set or research, please feel free to reach out! ",9059201951,,,,https://www.linkedin.com/in/duncan-forster-938601230,,False,False,https://canadaai.jobboard.io/api/v1/profiles/cb4c8236-ab8c-483f-a43c-121933096aab/resume,Hamilton,Ontario,,Canada,linkedin,2022-12-03T20:55:21.892Z,2022-12-07T15:19:28.851Z,True,True,Unaffiliated PhD Graduate/Candidate,Yes,Other Vector Programming,Bo Wang,Winter 2023 (December 2022 - March 2023),"I work closely with Vector Faculty member Bo Wang (collaborator), use the Vector compute resources extensively, and have published under the Vector Institute affiliation.",Mr.,https://www.linkedin.com/in/duncan-forster-938601230/,"Computational biology, Deep learning, Reinforcement learning",Postgraduate Degree (PhD),Senior Level (5+ Years),Quantitative Biology in Molecular Genetics,"Health, Software, Technology (Product Development)",Full Time,"Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True 6784888c-e21c-485a-ac7b-c197651341c8,viktor.bachraty@gmail.com,Viktor,Bachraty,https://talenthub.vectorinstitute.ai/profiles/3171769/view_image/1563634680913.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-12-08T21:21:09.673Z,2022-12-08T21:21:10.025Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/vbachraty/,,,,,,,,,True,True,True,True 7b70bed2-3d35-4648-9881-e06d8cb6fead,skwak8@wisc.edu,Sangjun,Kwak,https://talenthub.vectorinstitute.ai/profiles/3168982/view_image/1669852271653.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-12-07T06:55:00.099Z,2022-12-07T06:55:00.522Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/sangjunkwak/,,,,,,,,,True,False,True,True 2da487dc-9053-4374-b043-ed047e41f00a,raaidwilson@outlook.com,Raaid,Wilson,https://talenthub.vectorinstitute.ai/profiles/1605324/view_image/IMG-20190219-WA0009.jpg,MSc. Data Science and Analytics - Ryerson University,"My name is Raaid Wilson and I recently completed my Master's from Ryerson University in Data Science and Analytics. As a student of natural sciences, I enjoy under-taking new opportunities for development. With a proven track record in Academia and experience in the workplace, I hope to use my skillset to improve people's lives. ",519-731-4589,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2da487dc-9053-4374-b043-ed047e41f00a/resume,Mississauga,Ontario,,Canada,,2020-01-17T04:38:29.358Z,2022-12-04T03:17:57.312Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/raaidwilson/,"Anomaly detection, Bayesian methods, Deep learning",Graduate Degree (Masters),Entry Level (0-2 Years),MSc Data Science and Analytics,Type of Work is More Important to me than Sector,"Full Time, Internship, Contract","Data Analyst, Data Engineer, Data Scientist",Ryerson University,True,True,True,True 6fbb4f27-1280-473f-8dc2-5f422bd5afa9,vbadam2@uwo.ca,Vishal,Badam,https://talenthub.vectorinstitute.ai/profiles/3010890/view_image/ACD54A9E-2E94-4245-9CE4-402A97DBB04A.JPG,Master of Data Analytics ,Graduated from McMaster University in Statistics Co-op and currently pursing a Masters in Data Analytics in Western University. I have 16 months of work experience as a data scientist and data analyst in the government and retail industries. ,,,,,https://www.linkedin.com/in/vishalbadam/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/6fbb4f27-1280-473f-8dc2-5f422bd5afa9/resume,,,,,,2022-09-20T15:14:58.293Z,2023-01-12T22:26:05.730Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,N/A,"Data science, Deep learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Analytics,"Financial Services, Health, Manufacturing , Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Full Time, Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Scientist",Western University,True,True,True,True ebce04c3-feca-479b-ac9c-8b8a36fd0016,tal.kaganovsky@gmail.com,Tal,Kaganovsky,https://talenthub.vectorinstitute.ai/profiles/3181729/view_image/1656274218949.jpeg,,,,,,,,,False,False,https://canadaai.jobboard.io/api/v1/profiles/ebce04c3-feca-479b-ac9c-8b8a36fd0016/resume,,,,,linkedin,2022-12-15T18:03:43.431Z,2023-01-10T17:05:48.937Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/tal-kaganovsky-743622243/?originalSubdomain=ca,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Health Informatics,Health,Internship,"Business Analyst/Business Intelligence Analyst , Product/Project Manager",University of Toronto,True,False,True,True -57da3a35-8c69-4b0c-a584-d3470a7b24e6,phataka@lakeheadu.ca,Atharva ,Phatak,https://talenthub.vectorinstitute.ai/profiles/3134260/view_image/Beige_Polaroid_Quote_Flowers_Instagram_Post.png,,,+1-807-355-8351,,https://atharva-phatak.netlify.app/,,https://www.linkedin.com/in/atharva-phatak/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/57da3a35-8c69-4b0c-a584-d3470a7b24e6/resume,Thunder Bay,Ontario,,Canada,,2022-11-13T18:51:21.357Z,2023-01-06T13:50:09.501Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Dr Vijay Mago,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/atharva-phatak/,"Computer vision, Data science, Deep learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Lakehead University,True,True,True,True -fdfb73e3-e83d-4c93-9b22-a4da7ccf53fd,hkndoga@gmail.com,Hakan,Doga,https://talenthub.vectorinstitute.ai/profiles/3181883/view_image/1620154114390.jpeg,,,,,,,,,False,False,,,,,,linkedin,2022-12-15T20:20:44.023Z,2022-12-15T20:20:44.354Z,False,False,Not Affiliated with Vector,No,,,,,,,,,,,,,,,True,False,True,True 30b054f5-6f01-4907-a460-be724908c0e8,blake.smith@mail.utoronto.ca,Blake,Smith,https://talenthub.vectorinstitute.ai/profiles/3125522/view_image/1582224232649.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-11-08T00:54:42.342Z,2022-12-15T19:32:49.348Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/blaketoronto/,,,,,,,,,True,True,True,True e53d3ca6-699f-43fb-9c15-9800cb6994cd,prgrmmr70@gmail.com,Akram,Vasighizaker,https://talenthub.vectorinstitute.ai/profiles/2186700/view_image/1609817917490.jpeg,,"My main research interests are mainly focused on Machine/Deep Learning and Bioinformatics. Writing three papers was advantageous for improving my skills as a researcher. Working more than five years in this interesting filed encouraged me to develop my skills in other fields of data. Furthermore, I gained the experience of how to work with an experienced team and how to develop my interpersonal and communication abilities and broadened my organizational knowledge and time management skills.",(+1)438-3375212,,,,https://www.linkedin.com/in/akram-vasighizaker/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e53d3ca6-699f-43fb-9c15-9800cb6994cd/resume,Windsor,Ontario,,Canada,linkedin,2021-01-11T19:08:06.691Z,2022-12-15T18:10:11.209Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Dr. Luis Rueda,Winter 2023 (December 2022 - March 2023),,Ms.,https://www.linkedin.com/in/akram-vasighizaker/,"Computational biology, Data science, Deep learning",Postgraduate Degree (PhD),Entry Level (0-2 Years),Computer Science,"Education, Health, Professional Services (e.g Consulting), Software, Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project",,University of Windsor,True,True,True,True f0d0b6c8-7b16-4d8a-9dee-2c6b5c00e974,mathew.caterbenavides@mail.utoronto.ca,Mathew,Cater Benavides,https://talenthub.vectorinstitute.ai/profiles/3222076/view_image/Screen_Shot_2023-01-17_at_8.07.34_PM.png,Mathematics Gradute Student ,"A Master's student at, and recent graduate from, the University of Toronto having completed a Mathematics & Its Applications Specialist - Physical Science with research interests now consisting broadly of machine learning and stochastic analysis and their applications to financial markets and problems in statisitical mechanics and stochastic processes. In particular; infinite depth and width limits of neural networks at initialization, reinforcement learning for algorithmic and high frequency trading and coalescing systems of fractional Brownian motions and their relationships to LPP (last passage percolation) and KPZ (Kardar-Parisi-Zhang) universality.",6477205430,,,,https://www.linkedin.com/in/mathew-cater-benavides-53a663208,,False,False,https://canadaai.jobboard.io/api/v1/profiles/f0d0b6c8-7b16-4d8a-9dee-2c6b5c00e974/resume,Toronto,Ontario,,Canada,,2023-01-13T21:14:55.936Z,2023-01-24T04:50:22.233Z,True,True,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Vardan Papyan,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/mwlite/in/mathew-cater-benavides-53a663208,"Deep learning, Gaussian processes, Reinforcement learning",Graduate Degree (Masters),Entry Level (0-2 Years),Mathematics,,"Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Researcher/Scientist , Product/Project Manager, Other ",University of Toronto,True,True,True,True -d1bb9661-edc5-4f97-9bcb-bd4ef429aaf4,mahdi.gilany@queensu.ca,Mahdi,Gilany,https://talenthub.vectorinstitute.ai/profiles/3010854/view_image/photo_2022-.jpg,PhD Candidate Expert in Deep Learning for Medical Imaging and Probabilistic (Bayesian) Modeling,"Mahdi Gilany is a PhD candidate with extensive experience in both the theoretical aspects of deep learning and its practical applications. His primary research focuses on developing deep learning models for diagnosing prostate cancer on ultrasound images, and has published in top venues such as Neurips. He has experience addressing challenges such as low labeled-data regimes, weak labeling, and prediction uncertainty in the medical imaging domain. In addition to this research, Mahdi has also worked on developing deep learning models from a probabilistic view, and has experience with projects involving probabilistic neural model inference and probabilistic continual learning. He has a strong background in programming languages such as Python, MATLAB, and C/C++, and has experience teaching as well. - -This paragraph was created by chatGPT, a large language model trained by OpenAI :).",3435808175,,https://mahdigilany.github.io/,,https://www.linkedin.com/in/mohammadmahdigilani/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/d1bb9661-edc5-4f97-9bcb-bd4ef429aaf4/resume,,Ontario,,Canada,,2022-09-20T15:14:06.510Z,2023-01-03T15:30:34.580Z,True,True,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,ON,Fall 2024 (August - November),,Mr.,https://www.linkedin.com/in/mohammadmahdigilani/,"Bayesian methods, Computer vision, Deep learning, Healthcare and/or medical imaging, Self-supervised learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science,"Health, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Internship, Co-op","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True 7d73c268-c377-46d4-a3be-0818b707e9a7,yhan3986@gmail.com,Yi,Han,https://talenthub.vectorinstitute.ai/profiles/3184994/view_image/1631126140979.jpeg,MSc Statistics student at UofT,"• Statistics Master student with strong theoretical and technical knowledge in predictive analytics and visualization • Proven ability in statistical modelling and machine learning techniques in regression, classification, and clustering • Proficient in data aggregation, wrangling and pipelining techniques with large-scale datasets and relational database @@ -29,56 +19,37 @@ dec4f3b5-c27a-4fe4-849c-c6c83584971d,a.mandal@mail.utoronto.ca,Abhijoy,Mandal,ht b6c49120-16cd-49bd-8a50-063d25714962,trived22@uwindsor.ca,Yash,Trivedi,https://talenthub.vectorinstitute.ai/profiles/3282769/view_image/1643561232585.jpeg,Data Scientist/ Machine Learning Researcher,,4168363247,,https://yashtrivedi.netlify.app/,,https://www.linkedin.com/in/yash-trivedi-898004160/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/b6c49120-16cd-49bd-8a50-063d25714962/resume,Windsor,Ontario,,Canada,linkedin,2023-02-18T16:07:12.486Z,2023-02-18T16:07:12.977Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/yash-trivedi-898004160/,"Anomaly detection, Data science, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),M.Sc in Computer Science (specialization in AI),"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",University of Windsor,True,True,True,True 2fa2ab96-a5b3-42df-844e-abb8486ab428,nielsbracher@t-online.de,Niels,Bracher,https://talenthub.vectorinstitute.ai/profiles/3229830/view_image/1633969923744.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-01-18T19:40:20.546Z,2023-01-18T19:40:20.945Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/niels-bracher-042928154/?originalSubdomain=de,,,,,,,,,True,False,True,True 6af4dc17-7367-44ea-b4c4-823538df8b3d,faragl1@mcmaster.ca,Lydia,Farag,https://talenthub.vectorinstitute.ai/profiles/3215330/view_image/1661641531633.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-01-10T04:01:10.716Z,2023-01-10T04:01:11.110Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/lydiafarag/,,,,,,,,,True,True,True,True -36c49997-1cac-440f-ab1d-f69b19e0c17e,desaimayur35@gmail.com,Mayur,Desai,https://talenthub.vectorinstitute.ai/profiles/3239611/view_image/1644589298964.jpeg,,,,,,,,,False,False,,,,,,linkedin,2023-01-24T18:19:58.744Z,2023-01-26T05:12:33.381Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/mayur-desai-1ab224126/,,,,,,,,,True,True,True,True c1697c5f-2de9-474e-9221-c1cef05e0d43,medema.emily@gmail.com,Emily,Medema,https://talenthub.vectorinstitute.ai/profiles/3279857/view_image/1565978043903.jpeg,MSc in Computing Student,"I'm Emily, an Kingston-based MSc computer science student with experience in software and web development, research, teaching, and help desk/customer support. I primarily work in Python, JavaScript (as well as frameworks such as React and Node), Java, and R. I have a lot of experience with machine learning and data analytic models/visualisations.",,,https://www.emilymedema.com/,,https://www.linkedin.com/in/emily-medema,,False,False,https://canadaai.jobboard.io/api/v1/profiles/c1697c5f-2de9-474e-9221-c1cef05e0d43/resume,Kingston,Ontario,,Canada,linkedin,2023-02-16T19:18:28.764Z,2023-02-16T19:18:29.270Z,True,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Spring/Summer 2024 (April - July),,Ms.,https://www.linkedin.com/in/emily-medema,"AI safety, Data science, Deep learning, Fairness, Healthcare and/or medical imaging, Interpretability, Law, ethics and policy, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Computing,"Software, Technology (Information and Media), Type of Work is More Important to me than Sector","Internship, Co-op, Contract","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,False,True,True b0de945b-f200-4939-a35f-36365c22619c,mohammadrezataremi77@gmail.com,Mohammadreza,Taremi,https://talenthub.vectorinstitute.ai/profiles/3244543/view_image/photo_2023-01-27_12.14.31.jpeg,Data Scientist,II recieved my BSc in Electrical Engineering from Sharif University of Technology and I am currently doing my MSc in CSE at McMaster University. I am interested in Data Science and its applications.,9056097397,,,,https://www.linkedin.com/in/mohammadreza-taremi-03741a169/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/b0de945b-f200-4939-a35f-36365c22619c/resume,Hamilton,Ontario,,Canada,linkedin,2023-01-27T16:15:52.898Z,2023-01-27T17:15:08.090Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/mohammadreza-taremi-03741a169/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,"Financial Services, Health, Software, Technology (Information and Media)","Internship, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer",McMaster University,True,True,True,True 25ab7d17-69bd-4faf-aac0-811639c1f597,sakshamprakash01@gmail.com,Saksham,Prakash,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,AI Developer,,6478693142,,,,https://www.linkedin.com/in/sakshamprakash/,,True,True,,,,,,linkedin,2023-02-09T00:27:32.542Z,2023-02-09T00:27:33.028Z,True,True,Not Affiliated with Vector,No,Unsure,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/sakshamprakash/,"Computer vision, Data science, Deep learning, Machine learning, Natural language processing, Unsupervised learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Applied AI Solutions Development at George Brown College,"Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op","Data Analyst, Data Scientist, Machine Learning Engineer, Software Engineer",Other,True,True,True,True 5c258600-a6a3-487a-80b2-adf3fd1ee235,manthankpatel97@gmail.com,Manthan,Patel,https://talenthub.vectorinstitute.ai/profiles/3292615/view_image/1644554539546.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-02-23T19:38:34.739Z,2023-02-23T19:38:35.147Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,True,True,True -13c7238e-75b8-46c1-834f-563cf7c60ad0,kasuamahermann@yahoo.fr,Hermann Pakinzi,Kasuama,https://talenthub.vectorinstitute.ai/profiles/3198716/view_image/photo_passport_herkas.jpg,,"• Etudiant inscris en Master ès Science, Finance appliquée à l’ESG UQUAM en session d’hiver 2023 -• Diplôme de licence (Bac+5) en Sciences Economiques et de Gestion option : Gestion Financière, équivalent au baccalauréat québécois (Equivalence faite par le MIFI) -• Bonne maitrise de l’analyse des états financiers -• Langues : Français : Parfait/ Anglais : Débutant (formation en anglais en cours) -CONNAISSANCES INFORMATIQUES -• Maitrise du logiciel financier SAP ERP -• Maitrise des logiciels Comptable SAGE Compta Ligne 100 et Quick book -• Maitrise de l’outil informatique Microsoft Office (Outlook, Word, Excel, Power point, etc. -• Maitrise du logiciel statistique et économétrique E-Views -",438-830-1850,,,,,,False,False,https://canadaai.jobboard.io/api/v1/profiles/13c7238e-75b8-46c1-834f-563cf7c60ad0/resume,Montreal,Quebec,,Canada,,2022-12-29T03:37:55.106Z,2022-12-29T03:37:55.145Z,True,True,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,Master en Finance Appliquée,Winter 2024 (December 2023 - March 2024),Étudiant inscris en Master en Finance Appliquée à l'UQAM,Mr.,N/A,"Data science, Deep learning, Generative modeling",Undergraduate Degree (Bachelors),Senior Level (5+ Years),Gestion financière,Financial Services,"Full Time, Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Other ",Other,True,False,True,True 94428b27-021f-48d8-b034-264ec926326f,jonah.mackey@mail.utoronto.ca,Jonah,Mackey,https://talenthub.vectorinstitute.ai/profiles/3014550/view_image/IMG_4189.jpeg,Machine Learning Researcher,,6477069053,,https://github.com/jonahmackey,,https://www.linkedin.com/in/jonah-mackey-a354a4208/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/94428b27-021f-48d8-b034-264ec926326f/resume,Toronto,Ontario,,Canada,,2022-09-22T16:25:27.589Z,2023-01-30T01:51:00.812Z,True,True,Connected to Vector Research,Yes,Unsure,Vardan Papyan,Spring/Summer 2023 (April - July),Student of a Vector Faculty Affiliate,Mr.,https://www.linkedin.com/in/jonah-mackey-a354a4208/,"Deep learning, Natural language processing, Optimization",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Mathematics and Computer Science,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship","Data Scientist, Machine Learning Engineer, Software Engineer",University of Toronto,True,True,True,True 7677fe2d-9cf6-4cf0-ad75-c9a73746d33e,kopal.garg@mail.utoronto.ca,Kopal,Garg,https://talenthub.vectorinstitute.ai/profiles/2547947/view_image/1648190251868.jpeg,MSc student in CS at UofT,,7808040369,,https://kopalgarg.github.io/,,https://www.linkedin.com/in/gargkopal/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/7677fe2d-9cf6-4cf0-ad75-c9a73746d33e/resume,Toronto,Ontario,,Canada,,2021-10-15T14:15:49.667Z,2023-01-23T19:49:41.502Z,True,True,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Anna Goldenberg,Winter 2023 (December 2022 - March 2023),,Miss.,https://www.linkedin.com/in/gargkopal/,"Adversarial learning, AI safety, Anomaly detection, Bayesian methods, Bioinformatics, Computational biology, Computer vision, Data science, Deep learning, Fairness, Gaussian processes, Generative modeling, Healthcare and/or medical imaging, Interpretability, Machine learning, Meta-learning, Natural language processing, Online learning, Optimization, Privacy, anonymity, and/or security, Quantum computing, Recommender systems, Reinforcement learning, Representation learning, Robotics, Self-supervised learning, Statistical learning theory, Time-series forecasting and modelling, Transfer learning, Unsupervised learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),MSc in Computer Science,"Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector",Full Time,"Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Toronto,True,True,True,True 0b996e9c-298d-4005-81e6-31da2a6d29ac,ricardobarroslourenco@gmail.com,Ricardo,Barros Lourenço,https://talenthub.vectorinstitute.ai/profiles/3241529/view_image/IMG_0886.jpg,Spatial Data Scientist,,905-320-4546,,http://about.me/ricardobarroslourenco,,https://www.linkedin.com/in/lourencoricardo/,rblourenco,False,False,,Hamilton,Ontario,,Canada,linkedin,2023-01-25T18:56:28.315Z,2023-01-29T20:42:23.663Z,True,True,Unaffiliated PhD Graduate/Candidate,Yes,Unsure,,Spring/Summer 2024 (April - July),I am a PhD student at a Canadian University affiliated with Vector Institute (McMaster University),Mr.,https://www.linkedin.com/in/lourencoricardo/,"Data science, Deep learning, Interpretability",Postgraduate Degree (PhD),Senior Level (5+ Years),PhD in Geography (Spatial Analysis / Remote Sensing concentration),"Construction or Infrastructure, Education, Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development), Transportation, Type of Work is More Important to me than Sector","Full Time, Contract","Data Analyst, Data Scientist",McMaster University,True,True,True,True -a3fea2a8-acbb-4a2d-afb6-f9e7a5cced2a,tarnem@my.yorku.ca,Tarnem,Afify,https://talenthub.vectorinstitute.ai/profiles/2779003/view_image/20230419_185835_1.jpg,Data Scientist,"Tarnem is a driven and ambitious data professional with a strong passion for utilizing AI to make a positive impact on society. As an AI Project Management Intern at Vector Institute and pursuing a Master's in Management Artificial Intelligence at Schulich School of Business, Tarnem was awarded the Vector Institute AI Scholarship for her outstanding academic achievements. - -Tarnem's role as an AI Project Management Intern at Vector Institute has provided her with a thorough understanding of the practical applications of AI. She has demonstrated her ability to identify and solve complex problems by leveraging data, and her experience in managing and leading initiatives has made her a valuable member of any team. Tarnem is highly skilled in data visualization, machine learning, and statistical analysis, allowing her to extract valuable insights from complex data sets and identify patterns that inform strategic decision-making. - -Tarnem's unwavering dedication to driving positive change and making a significant impact in the world has led to her recognition as one of YorkU's Top 30 Changemaker Under 30 honorees. Her passion for driving positive change continues to drive her, and she is committed to leveraging AI to contribute to the betterment of society.",437-268-5738,,,,https://www.linkedin.com/in/tarnem-afify,TarnemAfify,False,False,https://canadaai.jobboard.io/api/v1/profiles/a3fea2a8-acbb-4a2d-afb6-f9e7a5cced2a/resume,Toronto,Ontario,,Canada,linkedin,2022-04-21T23:12:45.057Z,2023-06-18T02:12:55.632Z,True,True,Recognized Masters Program,Yes,Vector Scholarship Recipient,,Fall 2023 (August - November),,Ms.,https://www.linkedin.com/in/tarnem-afify/,"Data science, Deep learning, Generative modeling",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management in Artificial Intelligence,"Construction or Infrastructure, Financial Services, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Full Time, Internship, Contract","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",York University,True,True,True,True -e5c295d5-fac5-40f8-bddf-00a6842b91ab,charmichokshi@gmail.com,Charmi,Chokshi,https://talenthub.vectorinstitute.ai/profiles/2971248/view_image/1592903002402.jpeg,,,,,,,,,False,False,,,,,,linkedin,2022-08-25T21:15:34.335Z,2022-08-25T21:15:35.026Z,False,False,Connected to Another AI Institute,Yes,,,,,,https://www.linkedin.com/in/charmichokshi/,,,,,,,,,True,False,True,True -f296b01c-ed9e-4fcc-b258-846f1ddc8347,moturuab@cs.toronto.edu,Abhishek,Moturu,https://talenthub.vectorinstitute.ai/profiles/2555880/view_image/Screenshot_2022-12-02_at_6.57.45_PM.png,PhD student,"Abhishek Moturu is a third-year PhD student in the Department of Computer Science at the University of Toronto affiliated with the Vector Institute for Artificial Intelligence, The Hospital for Sick Children, and the UHN KITE Research Institute. He also received his HBSc and MSc from the University of Toronto. His doctoral research interests lie in the use of deep learning for healthcare and medicine – specifically in developing theory for example difficulty in health-related applications, active learning, and federated learning. Abhishek is currently Senior Don, Student Life and Computer Science, Mathematics, and Physics Don at Trinity College in the University of Toronto. He is a Junior Fellow at Massey College and an Education Co-Lead at the Temerty Centre for AI Research and Education in Medicine. In his free time, Abhishek loves watching films, going on drives, playing racket sports, and exploring the Toronto food scene.",6475181239,,,,https://www.linkedin.com/in/abhishek-moturu/,AbhishekMoturu,False,False,https://canadaai.jobboard.io/api/v1/profiles/f296b01c-ed9e-4fcc-b258-846f1ddc8347/resume,Toronto,Ontario,,Canada,,2021-10-21T19:40:59.657Z,2023-01-24T06:00:27.768Z,True,True,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,"Dr. Anna Goldenberg, Dr. Babak Taati",Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/abhishek-moturu/,"Computer vision, Data science, Deep learning, Few-shot learning, Generative modeling, Healthcare and/or medical imaging, Interpretability, Machine learning, Meta-learning, Online learning, Optimization, Privacy, anonymity, and/or security, Self-supervised learning, Transfer learning, Unsupervised learning",Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Science (PhD program),"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -19636865-e177-467b-86bd-f2898b063c69,heratha@uwindsor.ca,Achini,Herath,https://talenthub.vectorinstitute.ai/profiles/3010839/view_image/19693575_1362321243815408_4067116530327271123_o.jpg,Postgraduate Student,,,,,,,,False,False,,Windsor,Ontario,,Canada,,2022-09-20T15:13:46.907Z,2022-09-21T19:33:45.609Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,University of Windsor,Winter 2024 (December 2023 - March 2024),,Miss.,https://www.linkedin.com/in/achiniherath/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science Engineering,"Education, Financial Services, Health, Software","Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Windsor,True,True,True,True -d29b4f83-17df-4853-9a78-c9575d0e5e43,sidyakinian@gmail.com,Yan,Sidyakin,https://talenthub.vectorinstitute.ai/profiles/3463604/view_image/1668569794477.jpeg,Applied machine learning intern @ Vector Institute,"I'm super-interested in AI, mostly in the fields of NLP, RL, but also open to other areas!",+1 236 992 0851,,,,https://www.linkedin.com/in/sidyakinian/,sidyakinian,False,False,https://canadaai.jobboard.io/api/v1/profiles/d29b4f83-17df-4853-9a78-c9575d0e5e43/resume,Toronto,Ontario,,Canada,linkedin,2023-05-18T15:51:41.158Z,2023-05-18T15:51:41.640Z,True,True,Other Vector Programming,Yes,Other Vector Programming,,Spring/Summer 2024 (April - July),Applied machine learning intern,Mr.,https://www.linkedin.com/in/sidyakinian/,"Deep learning, Interpretability, Natural language processing",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Mathematics,"Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,False,True,True -ae2c9443-7fba-407e-affb-8131f1a677de,mohammadahmedbasri@gmail.com,Mohammad,Ahmed Basri,https://talenthub.vectorinstitute.ai/profiles/3238017/view_image/1670380008891.jpeg,,,,,,,https://www.linkedin.com/in/mohammad-ahmed-basri-24ba1210b/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/ae2c9443-7fba-407e-affb-8131f1a677de/resume,,,,,linkedin,2023-01-24T00:26:11.729Z,2023-06-19T19:40:13.995Z,True,False,Other Vector Programming,Yes,Other Vector Programming,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/mohammad-ahmed-basri-24ba1210b/?originalSubdomain=in,"Computer vision, Deep learning, Healthcare and/or medical imaging, Time-series forecasting and modelling",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),MASc in System Design Engineering,"Education, Financial Services, Health, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development), Transportation","Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",University of Waterloo,True,True,True,True -b0c5ab74-67ca-448c-b666-28e3aad40294,trigogori@gmail.com,Igor,T.,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Scientist | Rotman MMA '23 | ex - McKinsey & Company,,,,,,https://www.linkedin.com/in/triggor/,,False,True,,,,,Canada,linkedin,2023-04-18T05:01:55.184Z,2023-04-18T18:28:41.383Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/triggor/,"Data science, Machine learning, Statistical learning theory",Graduate Degree (Masters),Mid-Level (3-5 Years),Management Analytics (MMA),"Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",University of Toronto,True,True,True,True -b0ee2a3a-7251-4926-85a9-88031da9a399,cansu.ekmekcioglu@mail.utoronto.ca,Cansu,Ekmekcioglu,https://talenthub.vectorinstitute.ai/profiles/3365509/view_image/Screen_Shot_2023-03-13_at_2.22.59_PM.png,,Researcher at University of Toronto,4168790370,,,,https://www.linkedin.com/in/cansu-ekmekcioglu/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/b0ee2a3a-7251-4926-85a9-88031da9a399/resume,Toronto,Ontario,,Canada,,2023-03-31T15:41:40.425Z,2023-04-24T20:57:50.458Z,True,False,Other Vector Programming,Yes,Other Vector Programming,on,Winter 2024 (December 2023 - March 2024),Machine Learning & Caregivers,Mrs.,https://www.linkedin.com/in/cansu-ekmekcioglu/,"Data science, Fairness, Law, ethics and policy, Machine learning, Wearable technology and/or Internet of Things",Postgraduate Degree (PhD),Senior Level (5+ Years),Information Science,,"Full Time, Contract, Capstone Project","Data Analyst, Data Scientist, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -2fcd6288-c699-41b3-bfc9-89e1143bda26,awong655@uwo.ca,Anthony,Wong,https://talenthub.vectorinstitute.ai/profiles/2382442/view_image/cr_w_365_h_365.jpg,Computer Science Masters Student,"Am passionate about software development and am currently exploring the research world as well! Other than computers, I love outdoors activities such as backpacking, mountain biking and fishing. In addition, I have a bit of an unhealthy love for vehicles including bicycles, motorcycles and cars. ",6477124327,,https://scholar.google.ca/citations?user=9PAwJYEAAAAJ&hl=en,,https://www.linkedin.com/in/anthony-wong655/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/2fcd6288-c699-41b3-bfc9-89e1143bda26/resume,Toronto,Ontario,,Canada,,2021-06-02T13:19:20.595Z,2023-04-30T20:45:57.118Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,Dr. Boyu Wang,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/anthony-wong-b62698175/,"Anomaly detection, Few-shot learning, Unsupervised learning",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Computer Science,Software,"Full Time, Internship, Contract","Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Western University,True,True,True,True -9a85a8a3-3beb-4288-9d00-e86b335ef49d,rdivigal@uwo.ca,Ryan,Divigalpitiya,https://talenthub.vectorinstitute.ai/profiles/2124484/view_image/Ryan_Photo_Vignette__PDF_Optimized__2.jpeg,Master's Candidate,,5196393253,,https://www.ryan-div.com,,http://www.linkedin.com/in/ryan-div,,False,False,https://canadaai.jobboard.io/api/v1/profiles/9a85a8a3-3beb-4288-9d00-e86b335ef49d/resume,London,Ontario,,Canada,,2020-11-06T15:01:24.902Z,2022-09-20T18:13:32.395Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,http://www.linkedin.com/in/ryan-div,"Computer vision, Data science, Deep learning, Machine learning, Natural language processing, Physics, Robotics, Time-series forecasting and modelling, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),"Masters in Computer Science, Collaborative Specialization in Artificial Intelligence","Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Internship, Co-op, Contract",,Western University,True,True,True,True -e5ff0243-defd-47c2-a80d-34b97aff97e1,ebrahim.pichka@gmail.com,Ebrahim,Pichka,https://talenthub.vectorinstitute.ai/profiles/2981266/view_image/1661994879199.jpeg,Machine Learning Specialist,"I'm a machine learning enthusiast/researcher. I like to design, train and analyze algorithms that can learn autonomously. I have a strong background in machine learning, deep learning, and reinforcement learning. - -I am passionate about solving complex problems with artificial intelligence, whether they are in applied areas such as healthcare, finance, and supply chain, or in fundamental areas such as optimization techniques and new learning methods, and model architectures.",2269616480,,https://github.com/ebrahimpichka,,https://www.linkedin.com/in/ebrahim-pichka/,ebrahimpka,False,False,https://canadaai.jobboard.io/api/v1/profiles/e5ff0243-defd-47c2-a80d-34b97aff97e1/resume,Windsor,Ontario,,Canada,linkedin,2022-09-01T01:21:18.112Z,2023-01-07T09:28:42.275Z,False,False,Not Affiliated with Vector,No,Unsure,,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/ebrahim-pichka/,"Deep learning, Generative modeling, Machine learning, Meta-learning, Natural language processing, Optimization, Reinforcement learning",Graduate Degree (Masters),Entry Level (0-2 Years),Industrial Engineering,"Financial Services, Health, Manufacturing , Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation",Internship,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",University of Windsor,True,True,True,True -9c51a1db-d7a0-4965-b123-ec5e0a894a7f,jsromerop@gmail.com,Jesus,Romero,https://talenthub.vectorinstitute.ai/profiles/3518322/view_image/1669395551295.jpeg,,,,,,,https://www.linkedin.com/in/jesusromeropalacio/,,True,False,,,,,,linkedin,2023-06-12T16:00:54.098Z,2023-06-12T16:00:54.444Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/jesusromeropalacio/,,,,,,,,,True,True,True,True -154cb667-5885-4547-ba97-6fe784712b02,zhendong.sha@queensu.ca,Zhendong,Sha,https://talenthub.vectorinstitute.ai/profiles/2504460/view_image/8_bOHY9K_400x400.jpg,Bioinformatician,"Zhendong Sha received the B.Sc. degree from Nanjing University Jinling College, Nanjing, China, in 2013 and the Master degree in Computer Science from the University of New Brunswick, Fredericton, Canada, in 2018. Under the supervision of Drs. Ting Hu and Yuanzhu Chen at Queen’s University, his ongoing Ph.D. research covers developing novel feature selection methods for high-dimensional genetic data with an emphasis on gene-gene interaction and genetic heterogeneity.",,,,,https://www.linkedin.com/in/zhendongsha/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/154cb667-5885-4547-ba97-6fe784712b02/resume,Kingston,Ontario,,Canada,,2021-09-10T17:42:47.817Z,2023-06-06T00:53:03.322Z,True,True,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Dr. Ting Hu,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/zh%C4%93nd%C3%B2ng-sh%C4%81-49383688/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer science - computational genetics,"Education, Health, Technology (Information and Media)","Full Time, Internship","Data Analyst, Data Scientist, Machine Learning Engineer",Queen's University,True,True,True,True -0b50d04c-a993-454e-9349-96b98c8d3f04,bardia.esm@gmail.com,Bardia,Esmaeili,https://talenthub.vectorinstitute.ai/profiles/2504521/view_image/IMG_0128.jpg,PhD student in Computer Science,"I have experience working with Generative models for frame prediction, human posture estimation models, adversarial machine learning, Graph Neural Networks and language models such as BERT. -Currently my research is focused on the intersection of Adversarial Machine Learning, Anomaly Detection and Malware classification. ",6472012863,,,,https://www.linkedin.com/in/bardiaesmaeili,EsmaeiliBardia,False,False,https://canadaai.jobboard.io/api/v1/profiles/0b50d04c-a993-454e-9349-96b98c8d3f04/resume,Toronto,Ontario,,Canada,,2021-09-10T17:43:00.415Z,2022-01-14T18:57:14.992Z,True,False,Recognized Masters Program,Yes,Student or Postdoc of a Vector Faculty Member,James Elder,Other/Undetermined,,Mr.,https://www.linkedin.com/in/bardiaesmaeili/,"Computer vision, Deep learning, Representation learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science,Type of Work is More Important to me than Sector,Internship,Machine Learning Researcher/Scientist ,York University,True,True,True,True -79af5cd4-ced3-42b3-bbe2-bd1ab41fd20e,ssolta7@uwo.ca,Sareh,Soltani Nejad,https://talenthub.vectorinstitute.ai/profiles/3010846/view_image/sare.jpg,,"i am a second year master student of Computer Science at Western University. Currently, I am working on Implementing an Anomaly Detection in Drone-Captured Surveillance Videos as my thesis. My research interests broadly focus on Machine Learning, Internet of Things, and the emerging areas between these fields. Specifically, I am passionate about the applications of Machine learning and Internet of Things in Healthcare and Smart Cities. ",4165282560,,,,https://www.linkedin.com/in/sarehsoltani96/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/79af5cd4-ced3-42b3-bbe2-bd1ab41fd20e/resume,Toronto,Ontario,,Canada,,2022-09-20T15:13:53.447Z,2023-04-06T22:35:08.942Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Miss.,https://www.linkedin.com/in/sarehsoltani96/,"Anomaly detection, Machine learning, Unsupervised learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Health, Software, Technology (Product Development)","Full Time, Internship, Co-op","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Western University,True,True,True,True -0a4b5094-888b-4a81-accb-fbcfd3ffeaf0,francoisrd@cs.toronto.edu,Francois,Roewer-Despres,https://talenthub.vectorinstitute.ai/profiles/3514710/view_image/headshot-2.jpg,PhD Graduate Student,,3063615951,,,,https://linkedin.com/in/francois-rd,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0a4b5094-888b-4a81-accb-fbcfd3ffeaf0/resume,Toronto,Ontario,,Canada,,2023-06-11T04:01:59.012Z,2023-06-12T00:03:56.806Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,Frank Rudzicz,Winter 2025 (December 2024 - March 2025),,Mr.,https://linkedin.com/in/francois-rd,"AI safety, Healthcare and/or medical imaging, Natural language processing, Reinforcement learning",Postgraduate Degree (PhD),Entry Level (0-2 Years),Computer Science,"Health, Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Internship, Co-op","Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -d8183e9f-2ea0-4a1c-8659-78ce6fcfe84d,aravinth.chembu@gmail.com, Aravinth Kuppuswamy,Chembu,https://talenthub.vectorinstitute.ai/profiles/3014937/view_image/fallcol1.jpg,,,6476098028,,,,https://www.linkedin.com/in/aravinth-chembu/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/d8183e9f-2ea0-4a1c-8659-78ce6fcfe84d/resume,Toronto,Ontario,,Canada,,2022-09-22T22:25:04.664Z,2023-02-15T17:07:46.544Z,True,True,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Dr. Scott Sanner,Already Graduated,,Mr.,https://www.linkedin.com/in/aravinthraghavan/,"Data science, Machine learning, Optimization",Graduate Degree (Masters),Entry Level (0-2 Years),MASc (research based Masters),"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector",Full Time,"Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -2c088665-4163-4947-b79b-b2eb699327d4,anam.saeed98@gmail.com,An'am,Sherwani,https://talenthub.vectorinstitute.ai/profiles/3356071/view_image/1521510369215.jpeg,,,,,,,https://www.linkedin.com/in/an-am-sherwani/,,True,False,,,,,,linkedin,2023-03-27T17:22:46.203Z,2023-03-27T17:22:46.581Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/an-am-sherwani/,,,,,,,,,True,False,True,True -6a64c3f4-8050-4ca3-b428-c6b0eae25a88,fathola@mcmaster.ca,Alireza,Fathollah Pour,https://talenthub.vectorinstitute.ai/profiles/2205239/view_image/photo.jpg,Machine Learning Researcher,,+13653665696,,https://fathollahpour.github.io/,,https://www.linkedin.com/in/alirezapour,Alizftr,False,False,https://canadaai.jobboard.io/api/v1/profiles/6a64c3f4-8050-4ca3-b428-c6b0eae25a88/resume,,Ontario,,Canada,,2021-01-25T21:22:47.506Z,2023-02-20T00:13:31.535Z,True,True,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Hassan Ashtiani,Already Graduated,I am a student of a Vector faculty affiliate,Mr.,https://www.linkedin.com/in/alireza-fathollah-pour-886477178,"Deep learning, Natural language processing, Statistical learning theory",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Science in Computer Science,"Education, Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",McMaster University,True,True,True,True -90d99c58-600b-44a3-a686-c923c76e4847,emily.r.napier@gmail.com,Emily,Napier,https://talenthub.vectorinstitute.ai/profiles/2748175/view_image/1629932497900.jpeg,Machine Learning Associate Intern,"I am a Machine Learning Associate at the Vector Institute, where I am working with a fraud detection company to forecast and detect fraudulent behavior on digital streaming platforms. I am also a master of computer science candidate studying under Dr. Sageev Oore at Dalhousie University, where my research investigates language modeling approaches to analyzing and generating human motion-capture data for creative and healthcare applications. - -",902-449-0307,,,,https://www.linkedin.com/in/emily-napier,,False,False,https://canadaai.jobboard.io/api/v1/profiles/90d99c58-600b-44a3-a686-c923c76e4847/resume,,,,,linkedin,2022-03-30T15:04:32.389Z,2023-02-20T15:59:12.276Z,True,True,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Sageev Oore,Spring/Summer 2023 (April - July),,Ms.,https://www.linkedin.com/in/emily-napier,"Deep learning, Generative modeling, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Computer Science,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media)",Full Time,"Data Scientist, Machine Learning Engineer, Software Engineer",Other,True,True,True,True -75aa03ab-a247-4cbb-af78-94534f3c4c0f,sean.xw.lai@gmail.com,Sean,Lai,https://talenthub.vectorinstitute.ai/profiles/3382658/view_image/1658687034064.jpeg,,,,,,,https://www.linkedin.com/in/seanxlai/,,False,False,,,,,,linkedin,2023-04-07T17:21:58.594Z,2023-04-10T18:08:58.626Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/seanxlai/,,,,,,,,,True,False,True,True -4c54bff6-c41c-42f1-82ba-bd50bb7794b0,amirreza.asadzadeh@mail.utoronto.ca,Amirreza,Asadzadeh,https://talenthub.vectorinstitute.ai/profiles/3326321/view_image/Amirreza_Asadzadeh_s_photo__ITW2022.jpeg,University of Toronto Alumnus,,4372462086,,https://github.com/amirreza-asadzadeh,,https://www.linkedin.com/in/amirreza-asadzadeh/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/4c54bff6-c41c-42f1-82ba-bd50bb7794b0/resume,Toronto,Ontario,,Canada,,2023-03-13T21:11:06.467Z,2023-03-13T21:11:06.513Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/amirreza-asadzadeh/,"Adversarial learning, Bayesian methods, Deep learning, Gaussian processes, Generative modeling, Interpretability, Natural language processing, Neuroscience, Optimization",Graduate Degree (Masters),Mid-Level (3-5 Years),Masters of Applied Science (MASc) in Electrical and Computer Engineering,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True -c28a45c9-0d1c-4032-b031-70c6e571361c,ali.sajadi86@gmail.com,ali,sajadi,https://talenthub.vectorinstitute.ai/profiles/3336943/view_image/1595493374803.jpeg,,,,,,,https://www.linkedin.com/in/ali-sajadi/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/c28a45c9-0d1c-4032-b031-70c6e571361c/resume,,,,,linkedin,2023-03-18T15:30:17.623Z,2023-03-18T15:30:17.945Z,False,True,Not Affiliated with Vector,No,Unsure,,Already Graduated,I reached out to the website of this organization meanwhile I was searching for a Master or PhD position in the field of applied AI in healthcare studies.,Mr.,https://www.linkedin.com/in/ali-sajadi/,"Healthcare and/or medical imaging, Neuroscience, Robotics",Graduate Degree (Masters),Mid-Level (3-5 Years),"Biomeical engineering/Bioelectric, Neuroscience",Health,Full Time,"Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,True,True,True +60d7f9f4-9232-47bf-a189-6d211b7a0145,eva23@yorku.ca,Wenhui,Ma,https://talenthub.vectorinstitute.ai/profiles/2515994/view_image/%E8%AF%81%E4%BB%B6%E7%85%A71.jpg,Schulich 22' MMAI,"As a graduate student, I am studying the master's degree program of management in artificial intelligence at Schulich School of Business. Our 12-month full-time program offers me a technical foundation in machine learning, mathematical skills and data analysis with business insight.",15489892648,,,,https://linkedin.com/in/wenhui-ma-96ba47220,,True,False,https://canadaai.jobboard.io/api/v1/profiles/60d7f9f4-9232-47bf-a189-6d211b7a0145/resume,Toronto,Ontario,,Canada,,2021-09-19T20:18:09.069Z,2021-09-20T03:17:30.089Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Miss.,linkedin.com/in/wenhui-ma-96ba47220,"Data science, Deep learning, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Management in Artificial Intelligence,"Professional Services (e.g Consulting), Type of Work is More Important to me than Sector","Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",York University,True,True,True,True +e6d46702-6539-4bf2-a9df-f8e82eed6c00,a.j.stirbi@gmail.com,Alexander,Stirbisky,https://talenthub.vectorinstitute.ai/profiles/2186794/view_image/1583964170051.jpeg,"Data Science and Analytics | Master of Business Analytics (2021), Schulich School of Business","A motivated, detail-oriented graduate from the Schulich School of Business, with expertise in data analytics, statistics, research, and programming. Proficient in Python, R, SAS, SQL, and Microsoft Excel.",,,,,https://www.linkedin.com/in/alexander-stirbisky/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e6d46702-6539-4bf2-a9df-f8e82eed6c00/resume,Toronto,Ontario,,Canada,linkedin,2021-01-11T20:23:14.678Z,2021-09-28T23:19:03.194Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/alexander-stirbisky/,"AI safety, Data science, Fairness, Neuroscience, Privacy, anonymity, and/or security, Recommender systems",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Business Analytics,Type of Work is More Important to me than Sector,Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",York University,True,True,True,True +2e0c0a47-2469-4955-9e1f-8f551b346981,bvanberl@uwaterloo.ca,Blake,VanBerlo,https://talenthub.vectorinstitute.ai/profiles/1932162/view_image/vector_cropped.jpg,Artificial intelligence student and consultant,I am a computer science graduate student at the University of Waterloo with experience and an energetic passion for artificial intelligence. My goals are to participate in core research and develop impactful systems that apply artificial intelligence.,2263741744,,,,https://www.linkedin.com/in/blake-vanberlo-51484676/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2e0c0a47-2469-4955-9e1f-8f551b346981/resume,London,Ontario,,Canada,,2020-08-13T19:40:20.999Z,2020-12-03T17:56:57.327Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/blake-vanberlo-51484676/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Masters of Mathematics (thesis option),"Health, Professional Services (e.g Consulting), Software","Internship, Co-op",,University of Waterloo,True,True,True,True +d8edf402-ecde-4059-9576-553593ee4ef4,hoda213kherad@gmail.com,Hoda,Kheradfallah,https://talenthub.vectorinstitute.ai/profiles/2325959/view_image/1617808936232.jpeg,Master's student at UWaterloo,,2267982028,,https://sites.google.com/view/teellabvengulab/home,,https://www.linkedin.com/in/hoda-kheradfallah-25272b152/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d8edf402-ecde-4059-9576-553593ee4ef4/resume,Waterloo,Ontario,,Canada,linkedin,2021-04-21T13:28:35.169Z,2021-04-21T13:28:35.373Z,False,False,Not Affiliated with Vector,No,Vector Faculty or Faculty Affiliate,,Already Graduated,,Ms.,https://www.linkedin.com/in/hoda-kheradfallah-25272b152/,"Adversarial learning, Anomaly detection, Computer vision, Data science, Deep learning, Healthcare and/or medical imaging, Interpretability, Machine learning, Transfer learning",Graduate Degree (Masters),Mid-Level (3-5 Years),"Vision Science, Systems Design Engineering",,"Full Time, Internship","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Waterloo,True,True,True,True +a56555d5-96fb-463c-9fa8-3d019e78e793,divyansh.verma@rotman.utoronto.ca,Divyansh,Verma,https://talenthub.vectorinstitute.ai/profiles/2504465/view_image/Screenshot_2021-09-23_091640.png,Ex-Data Science Analyst,,+1(437)929-4848,,,,https://www.linkedin.com/in/vdivyansh/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a56555d5-96fb-463c-9fa8-3d019e78e793/resume,Toronto,Ontario,,Canada,,2021-09-10T17:42:49.344Z,2021-09-23T13:04:37.389Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/vdivyansh/,"Data science, Deep learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics (MMA),"Financial Services, Manufacturing , Retail, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Product/Project Manager",University of Toronto,True,True,True,True +717aff19-daff-4bf4-bc37-d84efd13dd4d,morena.java@gmail.com,Mohammadreza,Naderi,https://talenthub.vectorinstitute.ai/profiles/2550305/view_image/1517731369122.jpeg,BSS Solution ,,+989391064614,,,,,,True,False,,,,,,linkedin,2021-10-17T20:19:19.701Z,2021-10-17T20:19:19.886Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,N/A,,Graduate Degree (Masters),Senior Level (5+ Years),pursue my education to Phd,"Health, Telecommunications","Full Time, Contract","Business Analyst/Business Intelligence Analyst , Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,False,True,True +d1b061c9-fc44-4ae0-a3db-cd91c28dfb1e,rajkrishnanv@gmail.com,Raj Krishnan,Vijayaraj,https://talenthub.vectorinstitute.ai/profiles/2803739/view_image/1645027458025.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-05-09T19:26:10.521Z,2022-05-09T19:26:11.123Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/raj-krishnan-vijayaraj/,,,,,,,,,True,False,True,True +f2f82506-8e8c-4e3f-9187-91c19af65017,amangelbhullar@gmail.com,Amangel,Bhullar,https://talenthub.vectorinstitute.ai/profiles/2706656/view_image/1539586180335.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-02-26T08:11:39.326Z,2022-02-26T08:11:39.734Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/amangelbhullar/,,,,,,,,,True,True,True,True +1a86fd37-845b-47e1-bd13-fa794bac8eea,chiragoel3@gmail.com,Chirag,Goel,https://talenthub.vectorinstitute.ai/profiles/2676473/view_image/1555744805670.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-02-03T19:21:45.020Z,2022-02-03T19:21:45.467Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/chiragoel3/,,,,,,,,,True,False,True,True +03a1a0de-ab79-4aa8-9aed-0e96cfbc85bf,protim@uoguelph.ca,Protim,R.,https://talenthub.vectorinstitute.ai/profiles/2750260/view_image/1631122453090.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-04-01T02:29:18.264Z,2022-04-12T14:39:35.526Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/protimr/,,,,,,,,,True,True,True,True +4e9ac847-1e92-4823-a174-83f6510194a5,boyuanzheng.steven@gmail.com,Boyuan,Zheng,https://talenthub.vectorinstitute.ai/profiles/2258953/view_image/1614636090200.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-03-07T03:35:17.867Z,2021-03-07T03:35:18.025Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,True,True,True +a2baab46-c30d-494c-926a-3bdcf5d20791,ralab054@uottawa.ca,Rabaa,Alabdulrahman,https://talenthub.vectorinstitute.ai/profiles/2110230/view_image/0.jpeg,researcher ,My research area of interest is recommendation systems and machine learning,6139795778,,,,https://www.linkedin.com/in/rabaa-alabdulrahman/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a2baab46-c30d-494c-926a-3bdcf5d20791/resume,Ottawa,Ontario,,Canada,linkedin,2020-10-23T00:00:23.876Z,2020-10-23T21:53:14.562Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,Ontario,Already Graduated,"I am interested in applying for postdoctoral fellow position at Vector institute. However, I have recently graduated and still looking for research opportunity.",Dr.,https://www.linkedin.com/in/rabaa-alabdulrahman/,,Postgraduate Degree (PhD),Senior Level (5+ Years),PhD in Digital Transformation and Innovation,"Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship",,University of Ottawa,True,True,True,True +4020e3e8-fbf6-40a8-b67b-6a4b2c04f52b,modiri@cs.toronto.edu,Arghavan,Modiri,https://talenthub.vectorinstitute.ai/profiles/2110076/view_image/Arghavan.jpg,Machine Learning Developer | Python Programmer,"As a passionate, creative, and result-driven research scientist, I work to understand better how the intersection of machine learning and human-computer interaction design can solve real-life challenges. My expertise includes Machine Learning and statistics, data analysis and interpretation, computer programming, and software development. I have developed systems and tools to tackle challenging problems like making positive behavioral changes in people and personalized recommendations in the face of uncertainty. I'm currently seeking opportunities that will allow me to develop and promote technologies that solve challenging problems and make people's lives easier.",13433330858,,http://www.cs.toronto.edu/~modiri,,https://www.linkedin.com/in/arghavan-modiri/,,True,False,,Toronto,Ontario,,Canada,,2020-10-22T18:55:41.790Z,2021-04-12T18:05:51.783Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/arghavan-modiri/,"Bayesian methods, Data science, Machine learning, Recommender systems, Reinforcement learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,"Education, Financial Services, Health, Professional Services (e.g Consulting), Software, Type of Work is More Important to me than Sector","Full Time, Internship",,University of Toronto,True,True,True,True +14f0cfb8-203e-4d06-8b2e-980bbdbe74b6,saxena7@uwindsor.ca,Karan,Saxena,https://talenthub.vectorinstitute.ai/profiles/2225810/view_image/Self_Copy.jpg,Experienced Data Science Professional,2.5 years of experience in Data Science. Currently studying Masters with Specialization in Artificial Intellgience. Looking for Co-op/ Internship opportunities.,6479974868,,,,https://www.linkedin.com/in/karan-saxena-09696292/,,True,False,,Windsor,Ontario,,Canada,,2021-02-10T15:42:46.271Z,2021-10-20T14:46:49.761Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/karan-saxena-09696292/,"Computer vision, Data science, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),Masters of Computer Science with Specialization in Artificial Intelligence,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",University of Windsor,True,False,True,True +ad9a786b-7521-4bcf-bedf-00f1824f704f,sriharsha.d@dal.ca,Sri Harsha,Dumpala,https://talenthub.vectorinstitute.ai/profiles/2109338/view_image/Harsha_pic.png,Experienced Machine Learning Researcher,"I am Sri Harsha, pursuing PhD under the guidance of Dr. Sageev Oore in Dalhousie University and Vector Institute. My current research focuses on ""Multi-modal-based approach for personalized treatment of depressive disorder"". Prior to joining PhD, I worked as a researcher in the Speech and natural language processing group of TCS Research and Innovation. In TCS Research and Innovation, I worked on multi-modal sentiment analysis, and emotion conversion in speech. +My hobbies are Yoga, Cycling, Traveling and Cooking.",9022294985,,,,https://www.linkedin.com/in/sri-harsha-dumpala-6384a557/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ad9a786b-7521-4bcf-bedf-00f1824f704f/resume,Halifax,Nova Scotia,,Canada,,2020-10-22T06:17:50.571Z,2021-09-12T23:20:14.087Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Dr. Sageev Oore,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/sri-harsha-dumpala-6384a557/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),PhD in Computer Science,"Health, Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship",,Other,True,True,True,True +7ac5ab9f-f4d6-4e40-9ac1-7e77e0d3595c,brianjmpark@gmail.com,Brian,Park,https://talenthub.vectorinstitute.ai/profiles/2256439/view_image/1601941651589.jpeg,M.Sc. Bioinformatics,,5146530727,,https://brianjmpark.github.io,,https://www.linkedin.com/in/bjp/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/7ac5ab9f-f4d6-4e40-9ac1-7e77e0d3595c/resume,Toronto,Ontario,,Canada,,2021-03-04T22:45:46.566Z,2021-03-09T00:29:11.840Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/bjp/,"Bioinformatics, Data science, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Bioinformatics,"Health, Software, Technology (Information and Media)","Full Time, Internship",,University of Toronto,True,False,True,True +d3208d53-6931-4308-8dde-d153c233d92a,a792605473a@gmail.com,Raymond,Wang,https://talenthub.vectorinstitute.ai/profiles/2218330/view_image/1516954017332.jpeg,Waterloo undergrad,,2269882333,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d3208d53-6931-4308-8dde-d153c233d92a/resume,Toronto,Ontario,,Canada,linkedin,2021-02-04T17:50:32.472Z,2021-02-04T17:50:32.644Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Poupart Pascal,Already Graduated,,Mr.,https://www.linkedin.com/in/rwrz/,"Deep learning, Natural language processing, Optimization",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),"Computer Science, Computational Mathematics, Mathematical Finance",Software,"Full Time, Internship",,University of Waterloo,True,True,True,True +a832a245-3251-45da-8352-94dcaa408c55,lixinze980526@gmail.com,Xinze,Li,https://talenthub.vectorinstitute.ai/profiles/2235132/view_image/IMG_1228.JPG,,"I am currently a graduate student at the University of Western Ontario pursuing a Master degree of Engineering(Software Engineering) with collaborative specialization in Artificial Intelligence. I have experiences with multiple machine learning, deep learning, and neural networks models, as well as implementations, applications, and analytics on real world datasets.",8147770469,,,,https://www.linkedin.com/in/xinze-mike-li-b31a51155/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a832a245-3251-45da-8352-94dcaa408c55/resume,,,,,,2021-02-17T20:15:21.907Z,2021-03-16T22:06:02.958Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/xinze-mike-li-b31a51155/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Engineering in Software Engineering,"Software, Technology (Product Development)","Internship, Co-op, Contract, Capstone Project",,Western University,True,True,True,True +8977a07d-d0c7-4060-804a-ce0cd0fb8eea,steverab93@gmail.com,Stephan,Rabanser,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,True,https://canadaai.jobboard.io/api/v1/profiles/8977a07d-d0c7-4060-804a-ce0cd0fb8eea/resume,,,,,linkedin,2020-10-27T09:49:11.595Z,2020-10-27T09:49:11.759Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Nicolas Papernot,Fall 2024,,Mr.,https://www.linkedin.com/in/stephan-rabanser/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science,,Internship,,University of Toronto,True,False,True,True +c769d23f-0863-47f4-a1c5-bf015c13f4f9,ravichandra.addanki95@gmail.com,Ravichandra,Addanki,https://talenthub.vectorinstitute.ai/profiles/2098270/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-10-11T23:44:29.239Z,2020-10-11T23:44:29.438Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/ravichandra-a-b7336687/,,,,,,,,,True,True,True,True +9956de85-b514-4814-b1af-ede77b2965ec,ericshminn@gmail.com,Eric,Minn,https://talenthub.vectorinstitute.ai/profiles/2337547/view_image/1596858112447.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-04-29T05:01:09.959Z,2021-04-29T05:01:10.117Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/sunghoonminn920426/,,,,,,,,,True,True,True,True +7abeb8d4-97c8-4d67-8fac-559153557846,muniraldajani@gmail.com,Munir,Al - Dajani,https://talenthub.vectorinstitute.ai/profiles/2091136/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-10-07T21:37:54.316Z,2020-10-07T21:37:54.501Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/munirad/,,,,,,,,,True,False,True,True +a7fefba5-1815-4a92-9730-c8c92bcb6f20,zheda.mai@mail.utoronto.ca,Zheda,Mai,https://talenthub.vectorinstitute.ai/profiles/1655717/view_image/IMG_5909.JPG,Graduate researcher at D3M lab at UofT,"Zheda Mai is a second-year MASc student from the Industrial Engineering Department (Applied Machine Learning subgroup) at the University of Toronto, supervised by Professor Scott Sanner. His research interests include continual learning in computer vision and recommender systems.",6475290310,,,,https://www.linkedin.com/in/marco-zheda-mai-574a0b85/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a7fefba5-1815-4a92-9730-c8c92bcb6f20/resume,Toronto,Ontario,,Canada,,2020-02-27T17:50:32.876Z,2020-10-15T22:26:53.621Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Scott Sanner,Already Graduated,,Mr.,https://www.linkedin.com/in/marco-zheda-mai-574a0b85/,,Graduate Degree (Masters),Entry Level (0-2 Years),Information Engineering,Type of Work is More Important to me than Sector,Full Time,,University of Toronto,True,True,True,True cb930386-bc1d-411b-9256-26c54604c8b8,manal.m.rahal@gmail.com,Manal,Rahal,https://talenthub.vectorinstitute.ai/profiles/1967404/view_image/0.jpeg,Senior Projects Manager,Senior Projects Manager for Government projects mainly in Education| Masters in Business Analytics with focus in Machine Learning | Masters in Business Administration and Bachelor in Computer Science | Member of Beta Gamma Sigma Honor Society.,,,,,https://linkedin.com/in/manal-rahal-b4528447,,True,False,https://canadaai.jobboard.io/api/v1/profiles/cb930386-bc1d-411b-9256-26c54604c8b8/resume,,,,,linkedin,2020-09-05T08:49:32.086Z,2020-09-05T08:49:32.267Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,I hold Masters in Business Analytics from American University of Beirut.,Ms.,https://linkedin.com/in/manal-rahal-b4528447,,Graduate Degree (Masters),Senior Level (5+ Years),Business Analytics (Focus on Machine Learning),,"Full Time, Internship",,Other,True,False,True,True 2e1d8061-26f4-4e79-be63-26ef960a60cd,bsterli@yorku.ca,Brigid,Sterling,https://talenthub.vectorinstitute.ai/profiles/1974064/view_image/B31438D8-AB5B-450F-8B43-B614DCBAF4A4_1_201_a.jpeg,Master of Management in AI (MMAI) Student at Schulich School of Business,,4165775703,,,,https://www.linkedin.com/in/brigidsterling/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2e1d8061-26f4-4e79-be63-26ef960a60cd/resume,Toronto,Ontario,,Canada,,2020-09-11T13:47:17.642Z,2020-11-04T19:06:20.999Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Ms.,https://www.linkedin.com/in/brigidsterling/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management in Artificial Intelligence,"Financial Services, Health, Professional Services (e.g Consulting), Type of Work is More Important to me than Sector","Full Time, Capstone Project",,York University,True,True,True,True cb983f20-49ff-4dae-b658-a764e85be382,mreza.moravej@mail.utoronto.ca,Reza,Moravej,https://talenthub.vectorinstitute.ai/profiles/2540024/view_image/1622329053324.jpeg,Machine Learning Research Intern at U of T MIE," MASc student in Operations Research at the University of Toronto. Experienced in implementing and training deep learning models. Broadly interested in developing machine learning techniques for near-optimal decision-making in combinatorial optimization problems with real-world applications in supply chain, resource allocation and routing.",6477018680,,,,https://www.linkedin.com/in/reza-moravej-18102b173,,True,False,https://canadaai.jobboard.io/api/v1/profiles/cb983f20-49ff-4dae-b658-a764e85be382/resume,Toronto,Ontario,,Canada,linkedin,2021-10-08T21:57:41.148Z,2021-10-26T16:05:46.957Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,Ontario,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/reza-moravej-18102b173/,"Optimization, Recommender systems, Reinforcement learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Operations Research,"Education, Software, Transportation","Full Time, Internship","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True @@ -217,8 +188,6 @@ df4c2f4f-ddd0-422f-9e07-5183779d7908,qinyangbao777@gmail.com,Qinyang,Bao,https:/ I worked previously applying ML Computer Vision for anemia diagnosis in Peru. Previous experience is related to IT, servers, linux, cloud technology. I also have a master in innovation management. I am peruvian, not in Canada, looking for part time job/project/hourly done remotely or a full time position by 2025.",+51946124177,,https://github.com/bsaldivaremc2,,https://linkedin.com/in/bsaldivaremc2,bsaldivaremc2,True,False,https://canadaai.jobboard.io/api/v1/profiles/3017e512-8ef0-4fe7-b61b-04a0d968260a/resume,,,,,,2022-01-31T03:33:17.764Z,2022-08-30T21:30:26.622Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Unsure,,Fall 2022 (August - November),"so, I have no idea how to become part of you people, I am really interested in joining, I am a peruvian doing a PhD in Spain",Mr.,https://linkedin.com/in/bsaldivaremc2,"Bioinformatics, Computational biology, Computer vision",Postgraduate Degree (PhD),Entry Level (0-2 Years),Machine learning in bioinformatics,"Health, Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True ecd111b5-f8c4-44b4-8463-2d435ffb203c,johnmgiorgi@gmail.com,John,Giorgi,https://talenthub.vectorinstitute.ai/profiles/2180622/view_image/profile_picture_square.png,Computer Science PhD Student at the University of Toronto / Vector Institute,"I am a 4th-year computer science Ph.D. student at the University of Toronto and a graduate student researcher at the Donnelly Centre for Cellular and Biomolecular Research and the Vector Institute and former intern at Ai2 on the Semantic Scholar team. My work centres on information extraction and natural language processing (NLP) from/on biomedical literature. I completed my undergraduate degree at the University of Ottawa, graduating magna cum laude with a B.Sc in biochemistry. I completed my Masters degree in computer science at the University of Toronto.",,,https://github.com/JohnGiorgi,,https://www.linkedin.com/in/john-giorgi/,johnmgiorgi,True,False,https://canadaai.jobboard.io/api/v1/profiles/ecd111b5-f8c4-44b4-8463-2d435ffb203c/resume,Toronto,Ontario,,Canada,linkedin,2021-01-06T20:53:43.935Z,2022-10-21T19:21:09.874Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Student or Postdoc of a Vector Faculty Member,Bo Wang,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/john-giorgi/,"Bioinformatics, Deep learning, Natural language processing",Graduate Degree (Masters),Senior Level (5+ Years),Biochemistry (Undergraduate) & Computer Science (Graduate),"Education, Health, Software, Technology (Product Development)","Full Time, Internship","Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",University of Toronto,True,False,True,True ac2146ee-6f85-4046-979d-cd25e79504ec,yash.sawant96@gmail.com,Yash,Sawant,https://talenthub.vectorinstitute.ai/profiles/3157131/view_image/1645513551140.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-11-29T03:07:52.352Z,2022-11-29T03:07:52.703Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/yash-sawant13/,,,,,,,,,True,True,True,True -19636865-e177-467b-86bd-f2898b063c69,heratha@uwindsor.ca,Achini,Herath,https://talenthub.vectorinstitute.ai/profiles/3010839/view_image/19693575_1362321243815408_4067116530327271123_o.jpg,Postgraduate Student,,,,,,,,False,False,,Windsor,Ontario,,Canada,,2022-09-20T15:13:46.907Z,2022-09-21T19:33:45.609Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,University of Windsor,Winter 2024 (December 2023 - March 2024),,Miss.,https://www.linkedin.com/in/achiniherath/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science Engineering,"Education, Financial Services, Health, Software","Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Windsor,True,True,True,True -e5c295d5-fac5-40f8-bddf-00a6842b91ab,charmichokshi@gmail.com,Charmi,Chokshi,https://talenthub.vectorinstitute.ai/profiles/2971248/view_image/1592903002402.jpeg,,,,,,,,,False,False,,,,,,linkedin,2022-08-25T21:15:34.335Z,2022-08-25T21:15:35.026Z,False,False,Connected to Another AI Institute,Yes,,,,,,https://www.linkedin.com/in/charmichokshi/,,,,,,,,,True,False,True,True f296b01c-ed9e-4fcc-b258-846f1ddc8347,moturuab@cs.toronto.edu,Abhishek,Moturu,https://talenthub.vectorinstitute.ai/profiles/2555880/view_image/Screenshot_2022-12-02_at_6.57.45_PM.png,PhD student,"Abhishek Moturu is a third-year PhD student in the Department of Computer Science at the University of Toronto affiliated with the Vector Institute for Artificial Intelligence, The Hospital for Sick Children, and the UHN KITE Research Institute. He also received his HBSc and MSc from the University of Toronto. His doctoral research interests lie in the use of deep learning for healthcare and medicine – specifically in developing theory for example difficulty in health-related applications, active learning, and federated learning. Abhishek is currently Senior Don, Student Life and Computer Science, Mathematics, and Physics Don at Trinity College in the University of Toronto. He is a Junior Fellow at Massey College and an Education Co-Lead at the Temerty Centre for AI Research and Education in Medicine. In his free time, Abhishek loves watching films, going on drives, playing racket sports, and exploring the Toronto food scene.",6475181239,,,,https://www.linkedin.com/in/abhishek-moturu/,AbhishekMoturu,False,False,https://canadaai.jobboard.io/api/v1/profiles/f296b01c-ed9e-4fcc-b258-846f1ddc8347/resume,Toronto,Ontario,,Canada,,2021-10-21T19:40:59.657Z,2023-01-24T06:00:27.768Z,True,True,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,"Dr. Anna Goldenberg, Dr. Babak Taati",Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/abhishek-moturu/,"Computer vision, Data science, Deep learning, Few-shot learning, Generative modeling, Healthcare and/or medical imaging, Interpretability, Machine learning, Meta-learning, Online learning, Optimization, Privacy, anonymity, and/or security, Self-supervised learning, Transfer learning, Unsupervised learning",Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Science (PhD program),"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True b0c5ab74-67ca-448c-b666-28e3aad40294,trigogori@gmail.com,Igor,T.,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Scientist | Rotman MMA '23 | ex - McKinsey & Company,,,,,,https://www.linkedin.com/in/triggor/,,False,True,,,,,Canada,linkedin,2023-04-18T05:01:55.184Z,2023-04-18T18:28:41.383Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/triggor/,"Data science, Machine learning, Statistical learning theory",Graduate Degree (Masters),Mid-Level (3-5 Years),Management Analytics (MMA),"Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",University of Toronto,True,True,True,True 2443d779-6763-47b9-b1bf-48f9009c6cfc,ivianmagalhaes@gmail.com,Ivian,Magalhaes,https://talenthub.vectorinstitute.ai/profiles/3422127/view_image/1546709292187.jpeg,,,,,,,https://www.linkedin.com/in/ivianmagalhaes/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2443d779-6763-47b9-b1bf-48f9009c6cfc/resume,,,,,linkedin,2023-04-27T22:49:45.282Z,2023-04-27T22:49:45.625Z,True,False,Other Vector Programming,Yes,Other Vector Programming,,Already Graduated,Machine Learning for Caregivers course,Mrs.,https://www.linkedin.com/in/ivianmagalhaes/,"Data science, Machine learning, Optimization",Graduate Degree (Masters),Mid-Level (3-5 Years),Mechanical Engineering,"Education, Financial Services, Manufacturing , Professional Services (e.g Consulting)",Full Time,"Data Analyst, Data Scientist, Machine Learning Engineer",Western University,True,True,True,True @@ -239,10 +208,6 @@ eeb535ee-4770-4a1b-8aef-108d18233983,skhan923@uwo.ca,Shaela,Khan,https://talenth da6e43a2-3a07-42cc-a2e5-69cc2e204ec0,tarnem.afify@vectorinstitute.ai,Tarnem,Afify,https://talenthub.vectorinstitute.ai/profiles/3220564/view_image/20220922_140929.jpg,Data Scientist,"Tarnem is an AI Project Management Intern at Vector Institute and a Data Scientist at Dataraction, where she develops the company's recommendation system. Tarnem is completing a Master's in Management Artificial Intelligence from the Schulich School of Business and received the Vector Institute AI Scholarship. She has a degree in Biophysics from York University and has been recognized as a Top 30 Changemaker Under 30. Tarnem has expertise in programming languages such as Python, MATLAB, and R, as well as machine learning and statistical analysis. She is skilled in data visualization and has experience working on numerous data-driven projects. Tarnem is passionate about using data and technology to drive positive change and make a meaningful impact in the world.",+1 437-268-5738,,,,https://www.linkedin.com/in/tarnem-afify,TarnemAfify,False,False,,Toronto,Ontario,,Canada,,2023-01-13T00:29:45.330Z,2023-02-20T18:31:38.027Z,True,True,Other Vector Programming,Yes,Vector Scholarship Recipient,,Fall 2023 (August - November),Intern at Vector & Vector Scholarship Recipient,Ms.,https://www.linkedin.com/in/tarnem-afify,"Adversarial learning, AI safety, Anomaly detection, Computer vision, Data science, Deep learning, Few-shot learning, Game theory, Gaussian processes, Generative modeling, Graphical models, Interpretability, Machine learning, Meta-learning, Natural language processing, Neuroscience, Online learning, Optimization, Physics, Recommender systems, Reinforcement learning, Representation learning, Robotics, Self-supervised learning, Statistical learning theory, Time-series forecasting and modelling, Transfer learning, Unsupervised learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management in Artificial Intelligence,Type of Work is More Important to me than Sector,"Full Time, Internship","Data Scientist, Machine Learning Researcher/Scientist , Product/Project Manager",York University,True,True,True,True -9a85a8a3-3beb-4288-9d00-e86b335ef49d,rdivigal@uwo.ca,Ryan,Divigalpitiya,https://talenthub.vectorinstitute.ai/profiles/2124484/view_image/Ryan_Photo_Vignette__PDF_Optimized__2.jpeg,Master's Candidate,,5196393253,,https://www.ryan-div.com,,http://www.linkedin.com/in/ryan-div,,False,False,https://canadaai.jobboard.io/api/v1/profiles/9a85a8a3-3beb-4288-9d00-e86b335ef49d/resume,London,Ontario,,Canada,,2020-11-06T15:01:24.902Z,2022-09-20T18:13:32.395Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,http://www.linkedin.com/in/ryan-div,"Computer vision, Data science, Deep learning, Machine learning, Natural language processing, Physics, Robotics, Time-series forecasting and modelling, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),"Masters in Computer Science, Collaborative Specialization in Artificial Intelligence","Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Internship, Co-op, Contract",,Western University,True,True,True,True -e5ff0243-defd-47c2-a80d-34b97aff97e1,ebrahim.pichka@gmail.com,Ebrahim,Pichka,https://talenthub.vectorinstitute.ai/profiles/2981266/view_image/1661994879199.jpeg,Machine Learning Specialist,"I'm a machine learning enthusiast/researcher. I like to design, train and analyze algorithms that can learn autonomously. I have a strong background in machine learning, deep learning, and reinforcement learning. - -I am passionate about solving complex problems with artificial intelligence, whether they are in applied areas such as healthcare, finance, and supply chain, or in fundamental areas such as optimization techniques and new learning methods, and model architectures.",2269616480,,https://github.com/ebrahimpichka,,https://www.linkedin.com/in/ebrahim-pichka/,ebrahimpka,False,False,https://canadaai.jobboard.io/api/v1/profiles/e5ff0243-defd-47c2-a80d-34b97aff97e1/resume,Windsor,Ontario,,Canada,linkedin,2022-09-01T01:21:18.112Z,2023-01-07T09:28:42.275Z,False,False,Not Affiliated with Vector,No,Unsure,,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/ebrahim-pichka/,"Deep learning, Generative modeling, Machine learning, Meta-learning, Natural language processing, Optimization, Reinforcement learning",Graduate Degree (Masters),Entry Level (0-2 Years),Industrial Engineering,"Financial Services, Health, Manufacturing , Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation",Internship,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",University of Windsor,True,True,True,True 0a4b5094-888b-4a81-accb-fbcfd3ffeaf0,francoisrd@cs.toronto.edu,Francois,Roewer-Despres,https://talenthub.vectorinstitute.ai/profiles/3514710/view_image/headshot-2.jpg,PhD Graduate Student,,3063615951,,,,https://linkedin.com/in/francois-rd,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0a4b5094-888b-4a81-accb-fbcfd3ffeaf0/resume,Toronto,Ontario,,Canada,,2023-06-11T04:01:59.012Z,2023-06-12T00:03:56.806Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,Frank Rudzicz,Winter 2025 (December 2024 - March 2025),,Mr.,https://linkedin.com/in/francois-rd,"AI safety, Healthcare and/or medical imaging, Natural language processing, Reinforcement learning",Postgraduate Degree (PhD),Entry Level (0-2 Years),Computer Science,"Health, Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Internship, Co-op","Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True 702e18ea-3cdd-4728-a24b-705787e8cd6c,rezanmz@ymail.com,Reza,Namazi,https://talenthub.vectorinstitute.ai/profiles/3479013/view_image/1661742095426.jpeg,,,,,,,https://www.linkedin.com/in/reza-namazi-b37b9a10a/,,True,False,,,,,,linkedin,2023-05-26T00:53:10.984Z,2023-05-26T00:53:11.326Z,False,False,Vector Scholarship Recipient,Yes,,,,,,https://www.linkedin.com/in/reza-namazi-b37b9a10a/,,,,,,,,,True,False,True,True e32ef09d-a7bd-4f2a-9cdf-a0876b4aa2bf,pouria.faridi97@gmail.com,Pouria,Faridi,https://talenthub.vectorinstitute.ai/profiles/3422252/view_image/1654389993651.jpeg,,,,,,,https://www.linkedin.com/in/pouria-faridi-5a3a4117b/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/e32ef09d-a7bd-4f2a-9cdf-a0876b4aa2bf/resume,,,,,linkedin,2023-04-28T02:00:41.602Z,2023-04-28T02:00:42.055Z,True,False,Connected to Another AI Institute,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/pouria-faridi-5a3a4117b/,"Computer vision, Data science, Reinforcement learning",Graduate Degree (Masters),Entry Level (0-2 Years),Neuroscience,"Health, Type of Work is More Important to me than Sector","Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,False,True,True @@ -274,7 +239,6 @@ face6f6a-6d91-4404-a7da-3a1c2a0261d8,omairarif95@gmail.com,Omair,Arif,https://ta 6910a001-91da-4bda-bdf8-234644faa8f8,seria.medard.pge2018@gmail.com,Medard,SERIA,https://talenthub.vectorinstitute.ai/profiles/3398662/view_image/1681567788687.jpeg,,,,,,,,,False,False,,,,,,linkedin,2023-04-15T14:50:37.779Z,2023-04-15T14:50:38.162Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/medard-seria-a81672187/,,,,,,,,,True,True,True,True cb30f65e-fe61-4bbe-8ab9-cc4bb74d3fba,aida@lugueva.com,Aida,Lugueva,https://talenthub.vectorinstitute.ai/profiles/3395582/view_image/Aida.png,Motivated Data Scientist,"Analytically-minded and motivated data scientist with experience in data analysis and modeling, seeking a role to apply my skills in machine learning, data analysis, and data visualization. ",250-777-7997,,,,https://www.linkedin.com/in/lugueva/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/cb30f65e-fe61-4bbe-8ab9-cc4bb74d3fba/resume,Toronto,Ontario,,Canada,,2023-04-14T00:50:14.822Z,2023-04-14T00:50:14.859Z,True,False,Other Vector Programming,Yes,Other Vector Programming,Flora Wan,Already Graduated,Caregivers and Machine Learning program,Mrs.,https://www.linkedin.com/in/lugueva/,"Computer vision, Data science, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True 3fa20c93-38bb-44e0-bb10-d973e683220b,thomas.es@protonmail.com,Evan,Thomas,https://talenthub.vectorinstitute.ai/profiles/2718517/view_image/gitlab_headshot_cloaked.png,Master's student at the National Research Council,Studying ML surrogacy of physics simulations for inverse/algorithmic design generation and optimization,,,http://gitlab.com/ethom,,,,False,False,https://canadaai.jobboard.io/api/v1/profiles/3fa20c93-38bb-44e0-bb10-d973e683220b/resume,,,,,,2022-03-07T20:05:29.374Z,2023-04-18T17:06:01.831Z,True,True,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Isaac Tamblyn,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/thomasevan/,"Generative modeling, Machine learning, Physics",Graduate Degree (Masters),Mid-Level (3-5 Years),Master's of Physics,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",University of Ottawa,True,True,True,True -b0ee2a3a-7251-4926-85a9-88031da9a399,cansu.ekmekcioglu@mail.utoronto.ca,Cansu,Ekmekcioglu,https://talenthub.vectorinstitute.ai/profiles/3365509/view_image/Screen_Shot_2023-03-13_at_2.22.59_PM.png,,Researcher at University of Toronto,4168790370,,,,https://www.linkedin.com/in/cansu-ekmekcioglu/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/b0ee2a3a-7251-4926-85a9-88031da9a399/resume,Toronto,Ontario,,Canada,,2023-03-31T15:41:40.425Z,2023-04-24T20:57:50.458Z,True,False,Other Vector Programming,Yes,Other Vector Programming,on,Winter 2024 (December 2023 - March 2024),Machine Learning & Caregivers,Mrs.,https://www.linkedin.com/in/cansu-ekmekcioglu/,"Data science, Fairness, Law, ethics and policy, Machine learning, Wearable technology and/or Internet of Things",Postgraduate Degree (PhD),Senior Level (5+ Years),Information Science,,"Full Time, Contract, Capstone Project","Data Analyst, Data Scientist, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True 21a206fa-194b-496b-b2cc-1dd451242d13,java.elena@gmail.com,Olena,Bugaiova,https://talenthub.vectorinstitute.ai/profiles/3091396/view_image/Screenshot_2021-03-05_at_12.23.40_PM.png,"Data Science Enthusiast, Software Developer",,+16478323624,,https://www.kaggle.com/bugaiovaolena,,https://www.linkedin.com/in/olenabugaiova/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/21a206fa-194b-496b-b2cc-1dd451242d13/resume,,,,Canada,,2022-10-24T22:09:20.200Z,2023-03-16T19:52:20.901Z,True,True,Other Vector Programming,Yes,Other Vector Programming,,Already Graduated,I I completed the TUSK program from University of Toronto and the Vector Institute,Miss.,https://www.linkedin.com/in/olenabugaiova/,"Data science, Deep learning, Machine learning, Natural language processing, Recommender systems",Graduate Degree (Masters),Senior Level (5+ Years),Finance; Applied Mathematics,Type of Work is More Important to me than Sector,Full Time,"Data Scientist, Machine Learning Engineer, Software Engineer",Other,True,False,True,True b365543e-15b9-4f81-b38c-945f7ade81eb,kanchana_16@yahoo.com,Kanchana,Padmanabhan,https://talenthub.vectorinstitute.ai/profiles/2859653/view_image/1617409505325.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-06-15T22:25:07.865Z,2023-05-05T02:01:34.489Z,True,False,Connected to Vector Research,Yes,Other/Unsure,"Dr. Sedef Akinli Kocak, Director of Professional Development",Already Graduated,,Dr.,https://www.linkedin.com/in/kanchanapadmanabhan/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Science,,"Full Time, Contract",Other ,Other,True,True,True,True c57921f6-0548-4e47-a5cc-c1e296748f94,amadabushi@hawk.iit.edu,Aakash Vardhan,Madabhushi,https://talenthub.vectorinstitute.ai/profiles/3440081/view_image/1664806504474.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-05-07T21:47:17.227Z,2023-05-07T21:47:17.655Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/aakash-vardhan/,,,,,,,,,True,True,True,True @@ -321,164 +285,176 @@ Kanchi is also passionate about community health so she contributes as a grant-w Kanchi aspires to work as a Project Manager helping to accelerate the adoption of technology in the healthcare industry to improve clinical and financial outcomes. Her interest primarily lies in serving those with mental health & addictions as well as empowering the older adult population to live more independent & healthier lives, with the aid of technology. ",6478657578,,,,https://www.linkedin.com/in/kanchi-uttamchandani/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ba7f6072-d2a5-4414-b227-899c779cb054/resume,,,,,linkedin,2022-09-12T20:35:49.030Z,2022-09-12T20:35:49.907Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Miss.,https://www.linkedin.com/in/kanchi-uttamchandani/,"Law, ethics and policy, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Mid-Level (3-5 Years),Health Informatics,"Education, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Product/Project Manager",University of Toronto,True,False,True,True 2d32e541-9594-42a8-befc-5bdc781fc150,tanmaybishnoi2010@gmail.com,Tanmay,Bishnoi,https://talenthub.vectorinstitute.ai/profiles/3013128/view_image/1663302977362.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-09-21T20:28:21.206Z,2022-09-21T20:28:21.662Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/tbishnoi/,,,,,,,,,True,False,True,True -c770748c-f697-480f-857a-152102d7cbb3,bluteaur@uwindsor.ca,Ryan,Bluteau,https://talenthub.vectorinstitute.ai/profiles/2124477/view_image/D571B4C4-5F69-49A1-926C-F0BB123ACC3D.jpeg,"PhD Natural Language Processing, Master’s Computer Vision",I’m currently doing a PhD in NLP working with transformers to classify text. I did my masters in computer vision specifically in obstacle detection. My undergrad was a double major in Mathematics and Computer Sciences. ,2263487666,,,,http://linkedin.com/in/ryan-bluteau-783068173,,True,False,,,,,,,2020-11-06T15:01:23.369Z,2020-11-06T16:18:14.907Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023,,Mr.,http://linkedin.com/in/ryan-bluteau-783068173,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science,"Software, Technology (Product Development), Type of Work is More Important to me than Sector",Internship,,University of Windsor,True,True,True,True -c72994d6-6a32-4236-b512-0dfbcc07645c,agbanyimdaniel29@gmail.com,Daniel,Agbanyim,https://talenthub.vectorinstitute.ai/profiles/2149880/view_image/1516825334091.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-12-04T00:05:47.450Z,2020-12-04T00:05:47.656Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/daniel-agbanyim-40771539/,,,,,,,,,True,True,True,True -a3ee2346-c598-4a8c-8cb0-600d11c5fa7f,steven.tran1991@gmail.com,Steven,Tran,https://talenthub.vectorinstitute.ai/profiles/1610519/view_image/0.jpeg,,,(647) 282-2328,,,,https://www.linkedin.com/in/steven-tran-mrtr/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a3ee2346-c598-4a8c-8cb0-600d11c5fa7f/resume,,,,,linkedin,2020-01-21T01:52:22.444Z,2020-01-21T01:52:22.679Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/steven-tran-mrtr/,,Graduate Degree (Masters),,Master's of Health Informatics,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't)",Co-op,,University of Toronto,True,False,True,True -11777938-fc86-4b4d-a4bd-fe885efe1765,abeer.badawi@ontariotechu.ca,Abeer,badawi,https://talenthub.vectorinstitute.ai/profiles/2115623/view_image/0.jpeg,Data scientist ,"Experience in Research and Teaching Assistant with a demonstrated history of working in the education management industry and Research. Skilled in computer engineering, data science, data mining, artificial intelligence, and data visualization. High knowledge in Python, Tableau, SQL, Matlab, and Multisim. Currently, A Ph.D. candidate working in data science, biomedical signals, and real-time analysis. -Github Link: https://github.com/abeerbadawi -Tableau Portfolio: https://public.tableau.com/profile/abeer6392#!/ -Researchgate link: https://www.researchgate.net/profile/Abeer_Badawi ",4379713670,,,,https://www.linkedin.com/in/abeer-badawi-842199117/,,True,False,,Toronto,Ontario,,Canada,linkedin,2020-10-28T19:43:39.865Z,2021-10-15T14:11:07.411Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,Ontario,Fall 2024 (August - November),,Mrs.,https://www.linkedin.com/in/abeer-badawi-842199117/,,Postgraduate Degree (PhD),Entry Level (0-2 Years),electrical and computer engineering,"Education, Health, Software, Technology (Information and Media)","Internship, Co-op, Capstone Project",,OntarioTech University,True,True,True,True -2c07476f-a860-48ba-9a32-a7a836b87c95,shreyashettt848@gmail.com,Shreya,Shetty,https://talenthub.vectorinstitute.ai/profiles/1583399/view_image/0.jpeg,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2c07476f-a860-48ba-9a32-a7a836b87c95/resume,,,,,linkedin,2020-01-05T11:15:04.360Z,2020-01-05T11:15:04.528Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/shreya-shetty-b91676150/,,,,Master's in computer science-Big Data,"Software, Technology (Information and Media), Technology (Product Development)","Internship, Co-op",,Other,True,False,True,True -86916303-dad8-4dbb-b0d1-7e3f51a62770,skim2257@uwo.ca,Sejin,Kim,https://talenthub.vectorinstitute.ai/profiles/1610212/view_image/0.jpeg,Incoming MS Machine Learning Student at the University of Toronto,,,,,,https://www.linkedin.com/in/sejin-k-232111115/,,True,False,,,,,,linkedin,2020-01-20T20:33:05.734Z,2020-01-22T06:52:35.387Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Benjamin Haibe-Kains,Already Graduated,,Mr.,https://www.linkedin.com/in/sejin-k-232111115/,,Undergraduate Degree (Bachelors),,Medical Sciences - Medical Health Informatics,"Education, Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Internship,,Western University,True,True,True,True -0b998d47-dacb-4545-9b9d-684571430771,bingzhangzhu@outlook.com,Bingzhang,Zhu,https://talenthub.vectorinstitute.ai/profiles/2493618/view_image/WechatIMG28.jpeg,,,4373403084,,,,,,True,False,,Toronto,Ontario,,Canada,,2021-09-01T20:47:51.273Z,2021-09-01T21:17:14.738Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/bingzhang-edward-z-698b48105/,"Data science, Deep learning, Machine learning, Natural language processing, Recommender systems",Graduate Degree (Masters),Entry Level (0-2 Years),"Master of Science in Applied Computing, Computer Science","Retail, Technology (Information and Media)","Full Time, Internship, Co-op","Data Scientist, Machine Learning Engineer, Software Engineer",University of Toronto,True,True,True,True -071298e7-0a3c-40a7-8043-b63cc5f30968,james.marcogliese@gmail.com,James,Marcogliese,https://talenthub.vectorinstitute.ai/profiles/2789493/view_image/1625060144210.jpeg,,,,,,,https://www.linkedin.com/in/jamesmarcogliese/,,True,False,,Oakville,Ontario,,Canada,linkedin,2022-04-29T01:49:00.963Z,2022-04-29T01:49:01.451Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/jamesmarcogliese/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Data Science and Analytics - MSc,,Full Time,"Data Engineer, Machine Learning Engineer, Software Engineer",Ryerson University,True,True,True,True -9158ea57-f5cc-4b89-b386-67964b093cd1,asachdev@qmed.ca,Arushi,Sachdev,https://talenthub.vectorinstitute.ai/profiles/1644620/view_image/SACHDEV011594MD.jpg,"Current MD Candidate at Queen's University, Masters of Biotechnology Graduate at University of Toronto",,5198975689,,,,https://www.linkedin.com/in/arushisachdev/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9158ea57-f5cc-4b89-b386-67964b093cd1/resume,Toronto,Ontario,,Canada,,2020-02-14T16:05:06.057Z,2020-02-14T16:05:06.082Z,False,False,Not Affiliated with Vector,No,Other/Unsure,Ontario,Other/Undetermined,Medical Student at Queen's University,Ms.,https://www.linkedin.com/in/arushisachdev/,,Graduate Degree (Masters),,Currently MD Candidate (Queen's) | Masters of Biotechnology (University of Toronto),"Education, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Type of Work is More Important to me than Sector",Internship,,Queen's University,True,True,True,True -4e53411f-415f-4418-8344-f9d284f7313d,daniel.kur15@gmail.com,Daniel,Kur,https://talenthub.vectorinstitute.ai/profiles/1546000/view_image/Daniel_Kur_Headshot.jpg,Applied Research Scientist,I started my career in investment banking working on mergers and acquisitions and currently I'm in tech working on machine learning.,6472927281,,,,https://www.linkedin.com/in/daniel-kur-9379b257,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4e53411f-415f-4418-8344-f9d284f7313d/resume,Toronto,Ontario,,Canada,,2019-12-02T15:44:16.494Z,2022-05-13T20:14:17.298Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/daniel-kur-9379b257,"Deep learning, Generative modeling, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Business Analytics,"Financial Services, Software, Type of Work is More Important to me than Sector",Full Time,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",York University,True,True,True,True -e533e442-7225-4a81-bde4-e51b769a9438,euwern1987@gmail.com,EU WERN,TEH,https://talenthub.vectorinstitute.ai/profiles/2546940/view_image/1517473647326.jpeg,Ph.D. Candidate in Machine Learning,"II am a Ph.D. candidate in the School of Engineering at the University of Guelph where I am advised by Prof. Graham Taylor. I received both of my M.Sc. and B.Sc. degree in Computer Science from the University of Manitoba. My research is focused on annotation-efficient learning, a.k.a learning with less label, where I explore ways to survive in a SParsely Annotated Data Environment (SPADE).",,,http://www.euwern.com/,,https://www.linkedin.com/in/euwern/,euwern87,True,False,https://canadaai.jobboard.io/api/v1/profiles/e533e442-7225-4a81-bde4-e51b769a9438/resume,,,,,linkedin,2021-10-14T17:50:31.554Z,2022-03-20T12:00:09.523Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,,Already Graduated,,Mr.,https://www.linkedin.com/in/euwern/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Engineering System and Computing,,Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Guelph,True,True,True,True -def95035-0247-4181-824d-00299227337d,cm5vande@uwaterloo.ca,Colin,Vandenhof,https://talenthub.vectorinstitute.ai/profiles/2710933/view_image/1517596761448.jpg,,,,,http://colinvdh.com,,https://www.linkedin.com/in/colin-vandenhof-6461b4119/,,True,False,,,,,,,2022-03-01T20:36:03.214Z,2022-04-11T20:00:23.961Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Pascal Poupart,Already Graduated,,Mr.,https://www.linkedin.com/in/colin-vandenhof-6461b4119/,"AI safety, Deep learning, Reinforcement learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master's of Mathematics,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation",Full Time,"Data Engineer, Machine Learning Engineer, Software Engineer",University of Waterloo,True,False,True,True -7eaa10aa-90cb-49aa-a564-44f0d05ed157,k9luo@uwaterloo.ca,Kai,Luo,https://talenthub.vectorinstitute.ai/profiles/1967157/view_image/0.jpeg,Data Scientist,"I received my B.S. in Computer Engineering from University of Waterloo in 2018. After that, I joined Prof. Scott Sanner's group in University of Toronto as a M.A.Sc. student in 2018. My research mainly focuses on conversational recommendation. As a master student, I have published 4 papers (3 first-authored) in top machine learning conferences such as RecSys, SIGIR and WWW.",5195889977,,,,https://www.linkedin.com/in/k9luo/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/7eaa10aa-90cb-49aa-a564-44f0d05ed157/resume,Toronto,Ontario,,Canada,linkedin,2020-09-04T23:21:29.637Z,2020-09-04T23:21:29.963Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Scott Sanner,Already Graduated,,Mr.,https://www.linkedin.com/in/k9luo/,,Graduate Degree (Masters),Entry Level (0-2 Years),Information Engineering,Software,Full Time,,University of Toronto,True,True,True,True -11931411-2ad5-443e-a6d7-638cf19829fc,isaac.tamblyn@gmail.com,Isaac,Tamblyn,https://talenthub.vectorinstitute.ai/profiles/2172726/view_image/1516937836801.jpeg,Experienced R&D Team Leader,I am an experienced researcher (PhD 2009) who currently leads a team of 10 on the use of deep learning and reinforcement learning in the domain of chemistry and physics. I have extensive experience guiding and developing R&D teams. ,,,,,https://www.linkedin.com/in/itamblyn,,True,False,,,,,,linkedin,2020-12-27T23:57:56.645Z,2020-12-29T22:50:32.525Z,False,False,Connected to Vector Research,Yes,Vector Faculty or Faculty Affiliate,,Already Graduated,,Dr.,https://www.linkedin.com/in/itamblyn,,Postgraduate Degree (PhD),Senior Level (5+ Years),Physics,"Education, Financial Services, Professional Services (e.g Consulting)",Full Time,,Other,True,False,True,True -d4da03d7-c8c9-482f-93f9-ec995b38259b,guveley@gmail.com,Dogan,Guvel,https://talenthub.vectorinstitute.ai/profiles/1549091/view_image/0.jpeg,,,4166599543,,,,https://www.linkedin.com/in/deguvel,guveley,True,False,https://canadaai.jobboard.io/api/v1/profiles/d4da03d7-c8c9-482f-93f9-ec995b38259b/resume,Toronto,Ontario,,Canada,linkedin,2019-12-02T21:16:18.233Z,2019-12-02T21:16:18.438Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/deguvel,,,,Master of Management Analytics,Financial Services,Full Time,,Queen's University,True,False,True,True -6cadbca0-5e6b-4f97-8f0d-19d8c3a773cd,segblais@gmail.com,Stephan,Blais,https://talenthub.vectorinstitute.ai/profiles/2115489/view_image/0.jpeg,MMA Candidate at Queen's University,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6cadbca0-5e6b-4f97-8f0d-19d8c3a773cd/resume,Toronto,Ontario,,Canada,linkedin,2020-10-28T17:00:38.525Z,2020-10-28T17:00:38.685Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/stephan-blais/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,"Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,,Queen's University,True,True,True,True -6dc05266-c36a-45a8-bcd3-039367054d63,ankit.tronix@gmail.com,Ankit ,Shah,https://talenthub.vectorinstitute.ai/profiles/2172243/view_image/1597058271427.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-12-27T04:01:03.329Z,2020-12-27T04:01:03.496Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/ankitparagshah/,,,,,,,,,True,True,True,True -d4c126f5-58c9-4f52-b755-fc2f83047a6a,msc.javier.medel@gmail.com,Javier,"Medel, MSc.",https://talenthub.vectorinstitute.ai/profiles/1793158/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-05-16T21:01:59.912Z,2020-05-16T21:02:00.116Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/javier-medel/,,,,,,,,,True,False,True,True -c601c68c-1f3e-4401-a321-e2c8fb22ae4b,nwalton4@uwo.ca,Nicholas,Walton,https://talenthub.vectorinstitute.ai/profiles/1715470/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-04-10T23:11:42.996Z,2020-04-10T23:11:43.209Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/nicholas-r-walton/,,,,,,,,,True,False,True,True -d6595279-8d4b-417f-bf64-44c1b30afbfd,lunnydan@gmail.com,Daniel,Lunny,https://talenthub.vectorinstitute.ai/profiles/1849882/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-06-29T17:17:47.900Z,2020-06-29T17:17:48.542Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/daniel-lunny-09139313b/,,,,,,,,,True,True,True,True -3a201fff-e6ca-492d-bd19-3e66c080aab7,junhao@umich.edu,Junhao,Wang,https://talenthub.vectorinstitute.ai/profiles/2114686/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-10-28T01:19:05.466Z,2020-10-28T01:19:05.625Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/junhao-wang-59633984/,,,,,,,,,True,True,True,True -edaa5af3-f673-4894-a079-ecd3a609d469,prem.shanker.de@gmail.com,Prem Shanker,Mohan,https://talenthub.vectorinstitute.ai/profiles/2504531/view_image/1586426506929.jpeg,Student- Masters in Computer Science specialized in Artificial Intelligence,"Looking for Full-time opportunities - -Hired as a Data Scientist at GHD and worked with the building science team to detect cracks using Azure Cognitive Services and computer vision -President of Toastmaster club for 2 years - -",2267889230,,,,,,True,False,,Windsor,Ontario,,Canada,linkedin,2021-09-10T17:57:02.175Z,2021-11-10T14:36:54.441Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/prem-shanker-ai/,"AI safety, Computer vision, Data science, Deep learning, Fairness, Gaussian processes, Generative modeling, Machine learning, Natural language processing, Neuroscience, Recommender systems, Representation learning, Self-supervised learning, Statistical learning theory, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),MSc Computer Science specialized in Artificial Intelligence,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector",Full Time,"Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Windsor,True,True,True,True -e63fcd52-3cf2-46b3-b41a-e7d443408b27,isaacye@yorku.ca,Isaac,Ye,https://talenthub.vectorinstitute.ai/profiles/1935097/view_image/0.jpeg,Experienced HPC consultant,"Experienced High Performance Computing Specialist holding an engineering PhD in computational fluid dynamics for turbulent reacting flow with a demonstrated history of working in the research and high-end server industry, and Machine Learning professional with a Master of Science of Computer Science focused in Computer science - AI specialization. -Skilled in Scientific programming (MPI, OpenMP, CUDA, C, FORTRAN) on the massively distributed system and in programming machine learning algorithm such as Deep Neural Network, LSTM and image classification with Scikit and PyTorch.",6479902707,,,,https://www.linkedin.com/in/isaacKye,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e63fcd52-3cf2-46b3-b41a-e7d443408b27/resume,Toronto,Ontario,,Canada,linkedin,2020-08-15T17:43:41.386Z,2020-09-24T03:49:07.613Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/isaacKye,,Postgraduate Degree (PhD),Senior Level (5+ Years),Master of Science of Computer Science (AI Specialization),"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Internship, Co-op, Contract, Capstone Project",,York University,True,True,True,True -bd9694c8-38d1-42f7-b1b0-11e776810f3b,vishug@yorku.ca,Vishu,Gupta,https://talenthub.vectorinstitute.ai/profiles/1932216/view_image/IMG_20180522_132535.jpg,"Recent Graduate from Schulich School of Business in Master of Business Analytics, carrying experience in analytics and machine learning.","Enthusiastic about anything related to data and AI, recently completed my Master of Business Analytics at Schulich School of Business. Research work in machine learning training algorithms during undergrad. Worked with RBC on one of their Data Analytics Project developing a python package for use in production. In addition to this, worked on auditing and user database management at Infosys. -",4168281572,,https://github.com/LucidVi,,https://www.linkedin.com/in/gupta-vishu/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/bd9694c8-38d1-42f7-b1b0-11e776810f3b/resume,Toronto,Ontario,,Canada,,2020-08-13T19:41:00.659Z,2021-07-29T05:10:26.031Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/gupta-vishu/,"Quantum computing, Robotics, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Business Analytics,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer",York University,True,True,True,True -6947aa95-8120-4bc7-bce7-5d2e88796cf1,21isln@queensu.ca,Isaac,Ng,https://talenthub.vectorinstitute.ai/profiles/2624596/view_image/Ng_Isaac-Headshot.jpeg,Finance & Data Analytics Professional,"Financial Services professional with 4 years of experience analyzing data, influencing strategic decisions, and driving process improvements. Strong technical skills include financial modeling, coding languages (Python, R, SQL) and data visualization software (Tableau) -Currently pursuing a Masters in Management Analytics at the Smith School of Business @ Queen's University. Seeking opportunities in the Data Science field upon graduation",6477788888,,https://github.com/ngxx9580,,https://www.linkedin.com/in/isaacng1/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6947aa95-8120-4bc7-bce7-5d2e88796cf1/resume,Toronto,Ontario,,Canada,,2021-12-22T19:56:42.444Z,2022-03-17T22:57:18.915Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/isaacng1/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Data Analytics,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",Queen's University,True,True,True,True -93c1da47-99f0-4061-948f-58d7e8521a9d,sgamage2@uwo.ca,Sunanda,Gamage,https://talenthub.vectorinstitute.ai/profiles/2648511/view_image/Author_biog.jpg,Ph.D. candidate,"Currently a PhD candidate at Western University. My research interests are in interpretability techniques for deep learning and applying them to the process of large-scale machine learning system design. Previously, I was a software engineer for 3 years, developing components in complex distributed systems (stock exchanges), mainly in C++.",2269982154,,,,https://www.linkedin.com/in/sunandagamage,gamage_sunanda,True,False,https://canadaai.jobboard.io/api/v1/profiles/93c1da47-99f0-4061-948f-58d7e8521a9d/resume,London,Ontario,,Canada,,2022-01-13T20:27:29.673Z,2022-01-20T04:33:04.276Z,False,False,Connected to Vector Research,Yes,Vector Faculty or Faculty Affiliate,Katarina Grolinger,Winter 2023 (December 2022 - March 2023),,Mr.,www.linkedin.com/in/sunandagamage,"Deep learning, Interpretability, Unsupervised learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Ph.D. in Electrical and Computer Engineering,"Education, Financial Services, Health, Manufacturing , Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Western University,True,True,True,True -7667db15-cab1-4bc4-b121-1f96b651af1b,pmalik24@uwo.ca,Pranshu,Malik,https://talenthub.vectorinstitute.ai/profiles/2817437/view_image/IMG_20210816_054634_355.jpg,"Motor Control and Perception in Humans, for Robots",,6477026443,,,,https://www.linkedin.com/in/pranshu-malik,pranshumalik14,True,False,https://canadaai.jobboard.io/api/v1/profiles/7667db15-cab1-4bc4-b121-1f96b651af1b/resume,London,Ontario,,Canada,,2022-05-18T16:56:59.297Z,2022-05-18T16:56:59.339Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Spring/Summer 2024 (April - July),,Mr.,https://www.linkedin.com/in/pranshu-malik,"Neuroscience, Representation learning, Robotics",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Electrical Engineering,"Education, Health, Software, Technology (Information and Media)","Full Time, Internship, Capstone Project","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",Western University,True,True,True,True -d2e95223-02c3-4e8d-bc83-3a5f41a19b0b,travis.xin@gmail.com,Travis,Chen,https://talenthub.vectorinstitute.ai/profiles/2830941/view_image/1635422182368.jpeg,,,,,https://travischen0219.github.io/,,https://www.linkedin.com/in/travis-chen-137546126/,,True,False,,,,,,linkedin,2022-05-27T15:55:22.293Z,2022-05-27T15:55:22.696Z,False,False,Not Affiliated with Vector,No,Post Graduate Affiliate,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/travis-chen-137546126/,,Graduate Degree (Masters),Entry Level (0-2 Years),Artificial Intelligence & Robotics,"Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,True,True,True -16dbce0e-9213-4314-808e-565c100530a4,anjaradakovic33@gmail.com,Anja,Wu,https://talenthub.vectorinstitute.ai/profiles/2796325/view_image/1636946467681.jpeg,,,,,https://anjawu.com/,,https://www.linkedin.com/in/anja-wu/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/16dbce0e-9213-4314-808e-565c100530a4/resume,,,,,linkedin,2022-05-04T13:42:01.916Z,2022-05-04T13:42:02.321Z,False,False,Connected to Vector Research,Yes,Other/Unsure,,Already Graduated,Mother's in ML Program,Ms.,https://www.linkedin.com/in/anja-wu/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Bachelor of Mathematics Honours with minors in Biology and Psychology,,"Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",Carleton University,True,False,True,True -7bc610a2-e8fa-4649-898d-7f1a3c68d321,czhai@hotmail.com,Charles,Zhai,https://talenthub.vectorinstitute.ai/profiles/1549431/view_image/0.jpeg,Data and analytics leader with a decade plus of experience leading enterprise initiatives.,,,,,,,,True,False,,Toronto,Ontario,,Canada,linkedin,2019-12-02T21:41:46.937Z,2019-12-03T14:08:20.309Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/charles-zhai/,,,,Master of Management Analytics,"Financial Services, Retail",Full Time,,Queen's University,True,True,True,True -f1c282d1-21b8-45a3-8889-0e5dcc3c537a,jazpurc@gmail.com,Jonathan,Azpur,https://talenthub.vectorinstitute.ai/profiles/2124476/view_image/Screen_Shot_2021-01-12_at_11.11.12_PM.png,,,6477844824,,,,https://www.linkedin.com/in/jonathanazpur/,,True,False,,Toronto,Ontario,,Canada,,2020-11-06T15:01:22.827Z,2021-01-13T04:03:05.328Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/jonathanazpur/,"AI safety, Data science, Deep learning, Reinforcement learning",Graduate Degree (Masters),Mid-Level (3-5 Years),MSc. Computer Science,"Financial Services, Manufacturing , Software, Type of Work is More Important to me than Sector","Full Time, Internship",,York University,True,True,True,True -d1b061c9-fc44-4ae0-a3db-cd91c28dfb1e,rajkrishnanv@gmail.com,Raj Krishnan,Vijayaraj,https://talenthub.vectorinstitute.ai/profiles/2803739/view_image/1645027458025.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-05-09T19:26:10.521Z,2022-05-09T19:26:11.123Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/raj-krishnan-vijayaraj/,,,,,,,,,True,False,True,True -1a86fd37-845b-47e1-bd13-fa794bac8eea,chiragoel3@gmail.com,Chirag,Goel,https://talenthub.vectorinstitute.ai/profiles/2676473/view_image/1555744805670.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-02-03T19:21:45.020Z,2022-02-03T19:21:45.467Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/chiragoel3/,,,,,,,,,True,False,True,True -03a1a0de-ab79-4aa8-9aed-0e96cfbc85bf,protim@uoguelph.ca,Protim,R.,https://talenthub.vectorinstitute.ai/profiles/2750260/view_image/1631122453090.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-04-01T02:29:18.264Z,2022-04-12T14:39:35.526Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/protimr/,,,,,,,,,True,True,True,True -798184cf-ced7-48ff-ab33-d8af97ae4003,paarandika@gmail.com,Ayantha,Randika,https://talenthub.vectorinstitute.ai/profiles/2298588/view_image/70486044_10219218128914197_3543384380393127936_n.jpg,,"After experiencing both research-based academic projects and large scale industrial projects, now I'm searching for a position that combines both worlds. -After obtaining a bachelor's degree in computer science from the University of Colombo, I joined London Exchange Group Technologies, where I worked on high performance distributed systems. I'm currently reading for the Master's degree in computer science at the University of Alberta, hoping to complete it in April 2021. I'm focusing my research on image preprocessing for OCR by approximating gradients. -I'm skilled in Python, Java and C++ with experience in distributed high-performance systems and machine learning model implementation. ",+17806674795,,,,https://www.linkedin.com/in/ayantha/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/798184cf-ced7-48ff-ab33-d8af97ae4003/resume,Edmonton,Alberta,,Canada,,2021-04-03T06:18:52.457Z,2021-05-26T18:15:57.870Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,AB,Winter 2021,,Mr.,https://www.linkedin.com/in/ayantha/,"Computer vision, Deep learning, Healthcare and/or medical imaging",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,"Software, Type of Work is More Important to me than Sector","Full Time, Internship","Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,False,True,True -14f0cfb8-203e-4d06-8b2e-980bbdbe74b6,saxena7@uwindsor.ca,Karan,Saxena,https://talenthub.vectorinstitute.ai/profiles/2225810/view_image/Self_Copy.jpg,Experienced Data Science Professional,2.5 years of experience in Data Science. Currently studying Masters with Specialization in Artificial Intellgience. Looking for Co-op/ Internship opportunities.,6479974868,,,,https://www.linkedin.com/in/karan-saxena-09696292/,,True,False,,Windsor,Ontario,,Canada,,2021-02-10T15:42:46.271Z,2021-10-20T14:46:49.761Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/karan-saxena-09696292/,"Computer vision, Data science, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),Masters of Computer Science with Specialization in Artificial Intelligence,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",University of Windsor,True,False,True,True -883dbee3-140b-4dd9-a636-e2c99096ba73,anyirao@foxmail.com,Anyi,Rao,https://talenthub.vectorinstitute.ai/profiles/2092437/view_image/0.jpeg,,,,,http://anyirao.com/,,,raoanyi,True,False,,,,,,linkedin,2020-10-09T07:22:42.584Z,2020-10-09T07:28:56.109Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Sanja Fidler,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/anyirao/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),"Computer Vision, Artificial Intelligence, Multimodal Video Analysis","Technology (Information and Media), Technology (Product Development)","Internship, Co-op",,Other,True,False,True,True -fe81f927-d56c-47b7-b8d0-b988ae0bf04b,zimingmail@sina.com,Ziming,Yin,https://talenthub.vectorinstitute.ai/profiles/1570336/view_image/0.jpeg,,"Hi I am Ziming. I am currently a data scientist Co-Op at Scotiabank. I have been doing speech recognition for our group. I am really interested in coding, data science and machine learning, and I love to learn newest methodologies in related field. ",7788924861,,,,https://www.linkedin.com/in/ziming-yin/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/fe81f927-d56c-47b7-b8d0-b988ae0bf04b/resume,Toronto,Ontario,,Canada,linkedin,2019-12-20T00:22:00.648Z,2019-12-20T00:22:00.794Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Miss.,https://www.linkedin.com/in/ziming-yin/,,,,Master of Science in Applied Computing,,"Full Time, Internship, Contract",,University of Toronto,True,False,True,True -54ba9044-1e00-411d-bced-b81be29814a2,hongshi.lin@rotman.utoronto.ca,Romi,Lin,https://talenthub.vectorinstitute.ai/profiles/2110735/view_image/WeChat_Image_20201030003438.jpg,Master of Management Analytics Candidate 2021 at Rotman,"• Technical Skills: Proficient in R, SQL, Python, Power BI, Tableau, SAS, Excel VBA and Excel Modelling -• Problem Solving Skills: Strong project management experience; Strategically solved multiple analytical problems through case competitions -• Communication Skills: Communicate effectively with internal and external stakeholders; Capable of transforming business objectives into quantitative context and presenting results to non-technical clients through story telling -I will be looking for full-time work in July 2021 after the completion of my MMA program. I look forward to connecting with Data Analytics professionals in the mean time. -Contact: hongshi.lin@rotman.utoronto.ca ",6478948305,,,,https://www.linkedin.com/in/romi-hongshi-lin/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/54ba9044-1e00-411d-bced-b81be29814a2/resume,Toronto,Ontario,,Canada,,2020-10-23T13:26:44.226Z,2021-03-24T12:54:27.683Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/romi-hongshi-lin/,"Data science, Deep learning, Machine learning, Natural language processing, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,Type of Work is More Important to me than Sector,"Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -d76af307-cd1f-4871-9ae1-a3fa98e0c182,merlin.grace3295@gmail.com,MerlinGrace,Nesaraj,https://talenthub.vectorinstitute.ai/profiles/2145935/view_image/0.jpeg,Software Engineer,"Hi, -This is MerlinGrace Nesaraj. I worked as a Software Developer for two years before moving to Canada to pursue a Master's in Management Analytics at Queen's University. -I am looking for internships in the field of Data Science, Data Analytics or Business -Analytics. I am good at team building, conflict resolution and am an excellent team player.",4372282415,,,,https://linkedin.com/in/merlin-grace-7a6353112,,True,False,,Toronto,Ontario,,Canada,linkedin,2020-11-30T02:37:12.837Z,2020-11-30T02:37:13.479Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2021,,Ms.,https://www.linkedin.com/in/merlin-grace-7a6353112/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Management Analytics,"Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract, Capstone Project",,Queen's University,True,True,True,True -f2c25318-6aef-4c39-9622-ef3fdb55ab71,mniqureshi@hotmail.com,Naveed,Qureshi,https://talenthub.vectorinstitute.ai/profiles/2146866/view_image/0.jpeg,PhD | Artificial Intelligence | Deep Learning | Data Science | Computer Vision | Neuroinformatics,"Expert in artificial intelligence, machine, and deep learning, data science, and neuroinformatics -Expert in image processing, and computer vision -Excellent capabilities of Python, C, Shell, R, and MATLAB scripting -Excellent skills of working in large-scale high-performance computing environment for distributive computing -Well-versed with deep learning architectures of TensorFlow, Keras, and Theano -Predictive modeling using time-series data -Classification, data discrimination, object tracking, recognition and segmentation -Highly adaptive with fast-paced work environments -Received over 230 citations on first authored peer-reviewed publications in prestigious Q1 scientific journals -Presented and attend across the globe multiple IEEE flagship conferences and NuraIPS -",4376885750,,,,https://www.linkedin.com/in/mniqureshi/,mniqureshi,True,False,https://canadaai.jobboard.io/api/v1/profiles/f2c25318-6aef-4c39-9622-ef3fdb55ab71/resume,Toronto,Ontario,,Canada,linkedin,2020-12-01T00:36:17.839Z,2020-12-01T01:28:34.440Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,Postdoctoral Research Fellow at University of Toronto,Dr.,https://www.linkedin.com/in/mniqureshi/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Biomedical Science and Engineering,"Education, Financial Services, Health, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Contract",,University of Toronto,True,True,True,True -2730a571-e9bf-4a59-bd8a-3b511aaaf9a8,dawn7duan@gmail.com,Dawn (Mengli),Duan,https://talenthub.vectorinstitute.ai/profiles/2098333/view_image/0.jpeg,Software Developer,"I am a Machine Learning enthusiast with a strong background in math and programming, capable of building highly accurate machine learning models and extracting hidden insights and useful patterns in data. -I am an excellent problem solver who thrives under pressure, routinely meets deadlines and consistently handles multiple projects while simultaneously writing robust, production-level code. -I am a self-starter and fast learner in both team and self-directed settings, always ready to share knowledge and contribute to the community. -",6479796662,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2730a571-e9bf-4a59-bd8a-3b511aaaf9a8/resume,Toronto,Ontario,,Canada,linkedin,2020-10-12T03:34:54.913Z,2020-10-12T03:34:55.174Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,,Ms.,https://www.linkedin.com/in/dawnduan/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Engineering Science - Robotics,"Software, Technology (Information and Media), Technology (Product Development)",Full Time,,University of Toronto,True,True,True,True -d3e08659-55c7-41c1-bb8d-097429fd7d19,aravindhkumarmini@gmail.com,ARAVINDHKUMAR,RAJENDRAN,https://talenthub.vectorinstitute.ai/profiles/2086857/view_image/0.jpeg,,,2898924521,,,,https://linkedin.com/in/aravindhkumarnrn,,True,False,,Hamilton,Ontario,,Canada,linkedin,2020-10-04T03:19:25.064Z,2020-10-04T03:19:25.594Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,Manufacturing Engineering,Mr.,https://www.linkedin.com/in/aravindhkumarnrn/,,Graduate Degree (Masters),Entry Level (0-2 Years),Manufacturing Engineering,Type of Work is More Important to me than Sector,Full Time,,McMaster University,True,True,True,True -6e252999-2aff-4e41-8c8e-3ddd0fc9442c,khandanm@hotmail.com,Mandana,Khandan,https://talenthub.vectorinstitute.ai/profiles/2108041/view_image/0.jpeg,Advanced Analytics | Data Science,,4164180127,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6e252999-2aff-4e41-8c8e-3ddd0fc9442c/resume,,,,,linkedin,2020-10-21T03:34:44.785Z,2020-10-21T03:38:45.157Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,Job Search,Mrs.,https://www.linkedin.com/in/mandana-khandan-4803085/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Business Analytics,"Software, Technology (Information and Media), Technology (Product Development)",Full Time,,York University,True,True,True,True -f31eb1dd-5007-411f-8ebf-71ae7590175b,gulamtav@gmail.com,Gulam,Tavawalla,https://talenthub.vectorinstitute.ai/profiles/1553944/view_image/0.jpeg,,,4164553807,,,,,,True,False,,,,,,linkedin,2019-12-05T16:40:59.640Z,2019-12-05T22:00:40.661Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/gulam-tavawalla/,,,,Masters of Management Analytics,"Financial Services, Retail, Telecommunications",Full Time,,Queen's University,True,True,True,True -4959992b-cbcb-46e9-b410-1654ddee4c9a,amali69@uwo.ca,Apoorva,Malik,https://talenthub.vectorinstitute.ai/profiles/1980340/view_image/picture.jpeg,Experienced Data Analyst ,"A professional with a Bachelor of Technology (B.Tech.) focused in Mathematics and Computing engineering and a candidate for a Master’s degree in Data Science. Skilled in the Banking Industry with more than three years of work experience with a focus on Business Intelligence, Data Analytics. Always excited to learn new technologies and look for opportunities to utilize them to solve problems. -Specialties: Python | R | SQL | Machine Learning | Data Science | Risk Management| Arcadia | Tableau | Neo4j -Happy to connect and interact with people with varied interests in the related industry. -Please reach out to me if you feel I am a good fit and can add value to your organization. -amali69@uwo.ca, apoorva.mlk@gmail.com",2015959499,,,,https://www.linkedin.com/in/apoorva-malik-38157054/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4959992b-cbcb-46e9-b410-1654ddee4c9a/resume,Toronto,Ontario,,Canada,,2020-09-17T16:54:33.213Z,2021-05-09T16:40:32.216Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/apoorva-malik-38157054/,"Data science, Graphical models, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Data Analytics,"Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract",,Western University,True,False,True,True -43e9b056-23a1-41d2-8ae6-f1c70055fafb,shumit.ece.kuet@gmail.com,Shumit,Saha,https://talenthub.vectorinstitute.ai/profiles/2106880/view_image/0.jpeg,Machine Learning Researcher |Health Data Scientist| Biomedical Engineer,"I am a Biomedical Engineer with 6+ years of experience in data analytics. Throughout my graduate study, I have worked with clinicians and program directors; and analyzed big data to discover information hidden in unprocessed healthcare data. I have profound knowledge in signal processing, building predictive models utilizing machine learning and deep learning. I have expertise in advanced programming with Matlab (8+ years), Python (6+ years), and R (2+ years). -As a student in clinical engineering, I have gained vast experience in collecting data in clinical settings with proper regulation and administering the data. -As a past University lecturer and present graduate student, I have mentored and trained several undergraduate and graduate students about statistical analysis and machine learning. -Throughout my Ph.D., I have obtained and strengthened several soft skills, including creative thinking, collaboration, adaptability, time management, and persuasion. My biggest strength is the ability to learn and master new skills in a short period. ",6478098366,,http://individual.utoronto.ca/shumit_saha/,,https://www.linkedin.com/in/shumit-saha/,SahaShumit,True,False,https://canadaai.jobboard.io/api/v1/profiles/43e9b056-23a1-41d2-8ae6-f1c70055fafb/resume,Toronto,Ontario,,Canada,linkedin,2020-10-20T02:35:48.363Z,2020-10-20T02:56:56.406Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,Ontario,Other/Undetermined,PhD Candidate in University of Toronto,Mr.,https://www.linkedin.com/in/shumit-saha/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Biomedical Engineering,"Construction or Infrastructure, Education, Financial Services, Health, Technology (Information and Media), Technology (Product Development)",Full Time,,University of Toronto,True,True,True,True -a2baab46-c30d-494c-926a-3bdcf5d20791,ralab054@uottawa.ca,Rabaa,Alabdulrahman,https://talenthub.vectorinstitute.ai/profiles/2110230/view_image/0.jpeg,researcher ,My research area of interest is recommendation systems and machine learning,6139795778,,,,https://www.linkedin.com/in/rabaa-alabdulrahman/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a2baab46-c30d-494c-926a-3bdcf5d20791/resume,Ottawa,Ontario,,Canada,linkedin,2020-10-23T00:00:23.876Z,2020-10-23T21:53:14.562Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,Ontario,Already Graduated,"I am interested in applying for postdoctoral fellow position at Vector institute. However, I have recently graduated and still looking for research opportunity.",Dr.,https://www.linkedin.com/in/rabaa-alabdulrahman/,,Postgraduate Degree (PhD),Senior Level (5+ Years),PhD in Digital Transformation and Innovation,"Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship",,University of Ottawa,True,True,True,True -4020e3e8-fbf6-40a8-b67b-6a4b2c04f52b,modiri@cs.toronto.edu,Arghavan,Modiri,https://talenthub.vectorinstitute.ai/profiles/2110076/view_image/Arghavan.jpg,Machine Learning Developer | Python Programmer,"As a passionate, creative, and result-driven research scientist, I work to understand better how the intersection of machine learning and human-computer interaction design can solve real-life challenges. My expertise includes Machine Learning and statistics, data analysis and interpretation, computer programming, and software development. I have developed systems and tools to tackle challenging problems like making positive behavioral changes in people and personalized recommendations in the face of uncertainty. I'm currently seeking opportunities that will allow me to develop and promote technologies that solve challenging problems and make people's lives easier.",13433330858,,http://www.cs.toronto.edu/~modiri,,https://www.linkedin.com/in/arghavan-modiri/,,True,False,,Toronto,Ontario,,Canada,,2020-10-22T18:55:41.790Z,2021-04-12T18:05:51.783Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/arghavan-modiri/,"Bayesian methods, Data science, Machine learning, Recommender systems, Reinforcement learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,"Education, Financial Services, Health, Professional Services (e.g Consulting), Software, Type of Work is More Important to me than Sector","Full Time, Internship",,University of Toronto,True,True,True,True -7ac5ab9f-f4d6-4e40-9ac1-7e77e0d3595c,brianjmpark@gmail.com,Brian,Park,https://talenthub.vectorinstitute.ai/profiles/2256439/view_image/1601941651589.jpeg,M.Sc. Bioinformatics,,5146530727,,https://brianjmpark.github.io,,https://www.linkedin.com/in/bjp/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/7ac5ab9f-f4d6-4e40-9ac1-7e77e0d3595c/resume,Toronto,Ontario,,Canada,,2021-03-04T22:45:46.566Z,2021-03-09T00:29:11.840Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/bjp/,"Bioinformatics, Data science, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Bioinformatics,"Health, Software, Technology (Information and Media)","Full Time, Internship",,University of Toronto,True,False,True,True -ad9a786b-7521-4bcf-bedf-00f1824f704f,sriharsha.d@dal.ca,Sri Harsha,Dumpala,https://talenthub.vectorinstitute.ai/profiles/2109338/view_image/Harsha_pic.png,Experienced Machine Learning Researcher,"I am Sri Harsha, pursuing PhD under the guidance of Dr. Sageev Oore in Dalhousie University and Vector Institute. My current research focuses on ""Multi-modal-based approach for personalized treatment of depressive disorder"". Prior to joining PhD, I worked as a researcher in the Speech and natural language processing group of TCS Research and Innovation. In TCS Research and Innovation, I worked on multi-modal sentiment analysis, and emotion conversion in speech. -My hobbies are Yoga, Cycling, Traveling and Cooking.",9022294985,,,,https://www.linkedin.com/in/sri-harsha-dumpala-6384a557/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ad9a786b-7521-4bcf-bedf-00f1824f704f/resume,Halifax,Nova Scotia,,Canada,,2020-10-22T06:17:50.571Z,2021-09-12T23:20:14.087Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Dr. Sageev Oore,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/sri-harsha-dumpala-6384a557/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),PhD in Computer Science,"Health, Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship",,Other,True,True,True,True -d3208d53-6931-4308-8dde-d153c233d92a,a792605473a@gmail.com,Raymond,Wang,https://talenthub.vectorinstitute.ai/profiles/2218330/view_image/1516954017332.jpeg,Waterloo undergrad,,2269882333,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d3208d53-6931-4308-8dde-d153c233d92a/resume,Toronto,Ontario,,Canada,linkedin,2021-02-04T17:50:32.472Z,2021-02-04T17:50:32.644Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Poupart Pascal,Already Graduated,,Mr.,https://www.linkedin.com/in/rwrz/,"Deep learning, Natural language processing, Optimization",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),"Computer Science, Computational Mathematics, Mathematical Finance",Software,"Full Time, Internship",,University of Waterloo,True,True,True,True -a832a245-3251-45da-8352-94dcaa408c55,lixinze980526@gmail.com,Xinze,Li,https://talenthub.vectorinstitute.ai/profiles/2235132/view_image/IMG_1228.JPG,,"I am currently a graduate student at the University of Western Ontario pursuing a Master degree of Engineering(Software Engineering) with collaborative specialization in Artificial Intelligence. I have experiences with multiple machine learning, deep learning, and neural networks models, as well as implementations, applications, and analytics on real world datasets.",8147770469,,,,https://www.linkedin.com/in/xinze-mike-li-b31a51155/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a832a245-3251-45da-8352-94dcaa408c55/resume,,,,,,2021-02-17T20:15:21.907Z,2021-03-16T22:06:02.958Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/xinze-mike-li-b31a51155/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Engineering in Software Engineering,"Software, Technology (Product Development)","Internship, Co-op, Contract, Capstone Project",,Western University,True,True,True,True -8977a07d-d0c7-4060-804a-ce0cd0fb8eea,steverab93@gmail.com,Stephan,Rabanser,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,True,https://canadaai.jobboard.io/api/v1/profiles/8977a07d-d0c7-4060-804a-ce0cd0fb8eea/resume,,,,,linkedin,2020-10-27T09:49:11.595Z,2020-10-27T09:49:11.759Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Nicolas Papernot,Fall 2024,,Mr.,https://www.linkedin.com/in/stephan-rabanser/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science,,Internship,,University of Toronto,True,False,True,True -c769d23f-0863-47f4-a1c5-bf015c13f4f9,ravichandra.addanki95@gmail.com,Ravichandra,Addanki,https://talenthub.vectorinstitute.ai/profiles/2098270/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-10-11T23:44:29.239Z,2020-10-11T23:44:29.438Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/ravichandra-a-b7336687/,,,,,,,,,True,True,True,True -9956de85-b514-4814-b1af-ede77b2965ec,ericshminn@gmail.com,Eric,Minn,https://talenthub.vectorinstitute.ai/profiles/2337547/view_image/1596858112447.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-04-29T05:01:09.959Z,2021-04-29T05:01:10.117Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/sunghoonminn920426/,,,,,,,,,True,True,True,True -7abeb8d4-97c8-4d67-8fac-559153557846,muniraldajani@gmail.com,Munir,Al - Dajani,https://talenthub.vectorinstitute.ai/profiles/2091136/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-10-07T21:37:54.316Z,2020-10-07T21:37:54.501Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/munirad/,,,,,,,,,True,False,True,True -4e9ac847-1e92-4823-a174-83f6510194a5,boyuanzheng.steven@gmail.com,Boyuan,Zheng,https://talenthub.vectorinstitute.ai/profiles/2258953/view_image/1614636090200.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-03-07T03:35:17.867Z,2021-03-07T03:35:18.025Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,True,True,True -cb930386-bc1d-411b-9256-26c54604c8b8,manal.m.rahal@gmail.com,Manal,Rahal,https://talenthub.vectorinstitute.ai/profiles/1967404/view_image/0.jpeg,Senior Projects Manager,Senior Projects Manager for Government projects mainly in Education| Masters in Business Analytics with focus in Machine Learning | Masters in Business Administration and Bachelor in Computer Science | Member of Beta Gamma Sigma Honor Society.,,,,,https://linkedin.com/in/manal-rahal-b4528447,,True,False,https://canadaai.jobboard.io/api/v1/profiles/cb930386-bc1d-411b-9256-26c54604c8b8/resume,,,,,linkedin,2020-09-05T08:49:32.086Z,2020-09-05T08:49:32.267Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,I hold Masters in Business Analytics from American University of Beirut.,Ms.,https://linkedin.com/in/manal-rahal-b4528447,,Graduate Degree (Masters),Senior Level (5+ Years),Business Analytics (Focus on Machine Learning),,"Full Time, Internship",,Other,True,False,True,True -cb983f20-49ff-4dae-b658-a764e85be382,mreza.moravej@mail.utoronto.ca,Reza,Moravej,https://talenthub.vectorinstitute.ai/profiles/2540024/view_image/1622329053324.jpeg,Machine Learning Research Intern at U of T MIE," MASc student in Operations Research at the University of Toronto. Experienced in implementing and training deep learning models. Broadly interested in developing machine learning techniques for near-optimal decision-making in combinatorial optimization problems with real-world applications in supply chain, resource allocation and routing.",6477018680,,,,https://www.linkedin.com/in/reza-moravej-18102b173,,True,False,https://canadaai.jobboard.io/api/v1/profiles/cb983f20-49ff-4dae-b658-a764e85be382/resume,Toronto,Ontario,,Canada,linkedin,2021-10-08T21:57:41.148Z,2021-10-26T16:05:46.957Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,Ontario,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/reza-moravej-18102b173/,"Optimization, Recommender systems, Reinforcement learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Operations Research,"Education, Software, Transportation","Full Time, Internship","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True -b32c2723-f9c7-48c0-905a-53e9618a6e06,jenesa.thavalis@mail.utoronto.ca,Jenesa,Thavalis,https://talenthub.vectorinstitute.ai/profiles/1972274/view_image/0.jpeg,,,,,,,https://www.linkedin.com/in/jenesathavalis,,True,False,,,,,,linkedin,2020-09-10T02:12:20.482Z,2020-09-18T18:12:33.118Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,University of Toronto,Already Graduated,,Ms.,https://www.linkedin.com/in/jenesa-thavalis/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Health Informatics,"Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't)","Full Time, Internship, Co-op, Contract",,University of Toronto,True,False,True,True -cd2a992f-9dbf-4368-9e63-d0e9f013435c,alaaeddinalchalabi@gmail.com,Alaa Eddin,Alchalabi,https://talenthub.vectorinstitute.ai/profiles/1873877/view_image/0.jpeg,Researcher,"Trillium Scholarship awarded PhD Candidate with applied AI research experience. Seeking roles in AI on Blockchain, cloud gaming, and BCI.",819-318-0691,,https://scholar.google.com/citations?user=tExmQx4AAAAJ&hl=en,,https://www.linkedin.com/in/alaaeddinalchalabi/,AlaaAlchalabi,True,False,https://canadaai.jobboard.io/api/v1/profiles/cd2a992f-9dbf-4368-9e63-d0e9f013435c/resume,Ottawa,Ontario,,Canada,linkedin,2020-07-15T19:26:41.209Z,2021-04-09T02:09:47.652Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,Deep learning Reinforcement Learning Summer School,Mr.,https://www.linkedin.com/in/alaaeddinalchalabi/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Electrical and Computer Engineering,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project",,University of Ottawa,True,True,True,True -602446c6-f957-4c1f-ba25-4b9ab706c3e8,tkhu@hotmail.ca,Kevin,Hu,https://talenthub.vectorinstitute.ai/profiles/2348803/view_image/1617846321715.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-05-07T19:41:59.235Z,2021-05-07T19:41:59.430Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,False,True,True -2e1d8061-26f4-4e79-be63-26ef960a60cd,bsterli@yorku.ca,Brigid,Sterling,https://talenthub.vectorinstitute.ai/profiles/1974064/view_image/B31438D8-AB5B-450F-8B43-B614DCBAF4A4_1_201_a.jpeg,Master of Management in AI (MMAI) Student at Schulich School of Business,,4165775703,,,,https://www.linkedin.com/in/brigidsterling/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2e1d8061-26f4-4e79-be63-26ef960a60cd/resume,Toronto,Ontario,,Canada,,2020-09-11T13:47:17.642Z,2020-11-04T19:06:20.999Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Ms.,https://www.linkedin.com/in/brigidsterling/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management in Artificial Intelligence,"Financial Services, Health, Professional Services (e.g Consulting), Type of Work is More Important to me than Sector","Full Time, Capstone Project",,York University,True,True,True,True -e42811e6-a1b4-452b-a3c1-5ad5d24aad50,j.sayevand@gmail.com,Javad,Sayehvand,https://talenthub.vectorinstitute.ai/profiles/2118936/view_image/BEC44B10-7657-45F7-820A-7B71FFAA31A4.jpeg,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e42811e6-a1b4-452b-a3c1-5ad5d24aad50/resume,,,,,,2020-11-01T08:12:08.994Z,2020-11-02T19:35:56.918Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/javad-sayehvand-6a9a2546/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Applied Science in Computer Engineering,"Software, Telecommunications","Full Time, Internship, Co-op",,York University,True,True,True,True -9347558b-8b30-45c2-8420-e84b40d88685,yasaminabbaszadegan@yahoo.com,Yasamin,Abbaszadegan,https://talenthub.vectorinstitute.ai/profiles/2135591/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-11-18T16:58:09.005Z,2020-11-18T16:58:09.235Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/yasamin-abbaszadegan-475b6b93/,,,,,,,,,True,False,True,True -f3d24b37-99f6-4346-abfb-48dda5f7affb,bwang489@uwo.ca,Bowen,Wang,https://talenthub.vectorinstitute.ai/profiles/2266793/view_image/1604549007703.jpeg,,,,,,,https://www.linkedin.com/in/bowenwang1995/,,True,False,,,,,,linkedin,2021-03-12T01:23:04.800Z,2021-03-12T01:23:05.015Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/bowenwang1995/,"Computer vision, Data science, Deep learning",Graduate Degree (Masters),Entry Level (0-2 Years),Data Analytics,Technology (Information and Media),"Internship, Co-op",,Western University,True,True,True,True -ef471d9e-a404-4aa6-903d-1063adc61b1f,faizanraso@outlook.com,Faizan,Rasool,https://talenthub.vectorinstitute.ai/profiles/2122698/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-11-05T00:15:23.718Z,2020-11-05T00:15:23.890Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/faizanraso/,,,,,,,,,True,False,True,True -5088c9c4-ec22-442b-a385-4e9543a847a4,egarcia.mba2007@gmail.com,Erik,Garcia,https://talenthub.vectorinstitute.ai/profiles/2120447/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-11-02T20:21:59.648Z,2020-11-02T20:21:59.825Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,True,True,True -41ba316f-c67c-43c3-b8e5-439a3c43c763,dhulipala.surya91@gmail.com,Surya,"Dhulipala, Ph.D.",https://talenthub.vectorinstitute.ai/profiles/1972212/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-09-10T00:01:06.072Z,2020-09-10T00:01:06.302Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/suryadhulipala/,,,,,,,,,True,True,True,True -a1937d08-9ecb-4fa4-8ea6-257a08467547,arthur+companies@allshire.org,Arthur,Allshire,https://talenthub.vectorinstitute.ai/profiles/2137995/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-11-20T19:33:52.414Z,2020-11-20T19:33:52.592Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/allshire/,,,,,,,,,True,True,True,True -31a7ba7a-82b5-43d2-9776-34d171e559ce,diveena@gmail.com,Diveena,Tharmaseelan,https://talenthub.vectorinstitute.ai/profiles/2501909/view_image/IMG_1260.jpeg,Upcoming Health Informatician,,6475185345,,,,http://www.linkedin.com/in/diveena-tharmaseelan,,True,False,https://canadaai.jobboard.io/api/v1/profiles/31a7ba7a-82b5-43d2-9776-34d171e559ce/resume,,,,,linkedin,2021-09-08T19:21:31.317Z,2021-09-08T19:21:31.474Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,"University of Toronto, Dalla Lana School of Public Health",Spring/Summer 2023 (April - July),,Ms.,https://www.linkedin.com/in/diveena-tharmaseelan/,"AI safety, Optimization, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Health Informatics,,"Full Time, Contract","Business Analyst/Business Intelligence Analyst , Product/Project Manager",University of Toronto,True,True,True,True -df4c2f4f-ddd0-422f-9e07-5183779d7908,qinyangbao777@gmail.com,Qinyang,Bao,https://talenthub.vectorinstitute.ai/profiles/2879321/view_image/1651776406236.jpeg,,,2898853701,,,,https://www.linkedin.com/in/qinyang-bao/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/df4c2f4f-ddd0-422f-9e07-5183779d7908/resume,Toronto,Ontario,,Canada,linkedin,2022-06-29T01:05:31.959Z,2022-08-31T19:04:55.267Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Fall 2024 (August - November),,Mr.,https://www.linkedin.com/in/qinyang-bao/,"Computer vision, Deep learning, Neuroscience, Self-supervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Engineering,"Education, Health, Software, Technology (Information and Media)",Full Time,"Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True -1c15bc3d-edb4-452d-a363-fc3a79150c23,roisulislam@outlook.com,Roisul Islam,Rumi,https://talenthub.vectorinstitute.ai/profiles/2495621/view_image/1621404785972.jpeg,AI researcher,,2267245855,,,,https://www.linkedin.com/in/roisul-islam-rumi/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/1c15bc3d-edb4-452d-a363-fc3a79150c23/resume,Windsor,Ontario,,Canada,linkedin,2021-09-03T10:39:14.054Z,2022-09-23T13:46:04.968Z,False,False,Recognized Masters Program,No,Studying in/Graduated from a Recognized Master's Program,ON,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/roisul-islam-rumi-a59357133/,"Computer vision, Data science, Deep learning, Generative modeling, Healthcare and/or medical imaging, Machine learning, Recommender systems, Self-supervised learning, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science with AI specialization,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",University of Windsor,True,False,True,True -25a49f76-5292-4714-b7dc-e1a04459f509,hamzaam98@gmail.com,Hamza,Malik,https://talenthub.vectorinstitute.ai/profiles/2868213/view_image/1654998074029.jpeg,Sales Development Coordinator at DrugBank | Incoming Master of Health Informatics Student at the University of Toronto,"👋🏽 Hi, my name is Hamza. -🎓 I graduated with an Honours Bachelor of Health Sciences, and an incoming student for the Master of Health Informatics at the University of Toronto. -📚 While pursuing my bachelors degree, I took part in numerous research projects focusing on how the use of Machine Learning methods can lead to various advancements within healthcare. I am currently working full time at DrugBank on the Sales team as a Sales Development Coordinator. In addition, I am also the Co-Director at BoardHouse, a local basketball training facility, where I oversee the day to day business operations. -💻 As for my future, I want to work in a product management role in digital health. I would love to work with a multi-talented team that brings value to consumers by developing creative and innovative solutions using technology. -🏌🏽‍♂️ In my free time, you can find me playing sports, scrolling through LinkedIn, or exploring the outdoors. -💪🏽 My strengths include workflow optimization, interpersonal skills, health care industry knowledge, data analytics, critical thinking and problem solving.",6474542079,,,,https://www.linkedin.com/in/hamza-malik-667063100/,,True,False,,Toronto,Ontario,,Canada,linkedin,2022-06-21T20:01:56.305Z,2022-06-21T20:01:56.928Z,False,False,Vector Scholarship Recipient,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/hamza-malik-667063100/,"Bioinformatics, Healthcare and/or medical imaging, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Health Informatics,"Health, Technology (Product Development)","Full Time, Internship","Machine Learning Researcher/Scientist , Other ",University of Toronto,True,True,True,True -c7ff5798-1f13-4fc3-963c-620d6712edba,parmarsuraj99@gmail.com,Surajsinh,Parmar,https://talenthub.vectorinstitute.ai/profiles/2521193/view_image/1606396567537.jpeg,Machine Learning Student,,+1 6478778415,,,,https://www.linkedin.com/in/parmarsuraj99/,parmarsuraj99,True,False,https://canadaai.jobboard.io/api/v1/profiles/c7ff5798-1f13-4fc3-963c-620d6712edba/resume,,Ontario,,Canada,linkedin,2021-09-23T13:25:23.047Z,2022-11-10T15:02:11.950Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/parmarsuraj99/,"Computer vision, Data science, Deep learning, Generative modeling, Interpretability, Machine learning, Natural language processing, Optimization, Self-supervised learning, Statistical learning theory, Time-series forecasting and modelling, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),MSc. Computer Science (AI Specialization),"Education, Financial Services, Health, Professional Services (e.g Consulting), Retail, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Windsor,True,True,True,True -d9d6a326-719b-4c4c-b64c-c56590a1291d,nisarg@cs.toronto.edu,Nisarg,Shah,https://talenthub.vectorinstitute.ai/profiles/2857687/view_image/Nisarg.jpg,Assistant Professor,"Nisarg Shah is an assistant professor of computer science at the University of Toronto and a Research Lead at the Schwartz Reisman Institute for Technology and Society. He has been recognized as AI's 10 to Watch by IEEE Intelligent Systems in 2020. He is also the winner of the 2016 IFAAMAS Victor Lesser Distinguished Dissertation Award and the 2014-2015 Facebook PhD Fellowship. Shah conducts research at the intersection of computer science and economics, addressing issues of fairness, efficiency, elicitation, and incentives that arise when humans are affected by algorithmic decision-making. His recent work develops theoretical foundations for fairness in fields such as voting, resource allocation, and machine learning. He has co-developed two not-for-profit websites, Spliddit.org and RoboVote.org, which have helped more than 200,000 users make provably fair and optimal decisions in their everyday lives. He earned his PhD in computer science at Carnegie Mellon University and was a postdoctoral fellow at Harvard University. - -Email: nisarg@cs.toronto.edu -Twitter: @nsrg_shah",4377762077,,https://www.cs.toronto.edu/~nisarg/,,,nsrg_shah,True,False,https://canadaai.jobboard.io/api/v1/profiles/d9d6a326-719b-4c4c-b64c-c56590a1291d/resume,Toronto,Ontario,,Canada,,2022-06-14T20:32:42.107Z,2022-06-21T15:41:04.055Z,False,False,Connected to Vector Research,Yes,Vector Faculty or Faculty Affiliate,,Already Graduated,,Mr.,N/A,"Fairness, Game theory, Interpretability",Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Science,Type of Work is More Important to me than Sector,Contract,Other ,University of Toronto,True,True,True,True -66123dc5-f9a7-4c53-adaf-5380933a6f7a,negar.majma@gmail.com,Negar,Majma,https://talenthub.vectorinstitute.ai/profiles/1645536/view_image/0.jpeg,"Faculty member, researcher",https://www.linkedin.com/in/negar-majma/,+989131263790,,,,https://www.linkedin.com/in/negar-majma/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/66123dc5-f9a7-4c53-adaf-5380933a6f7a/resume,,,,Iran,linkedin,2020-02-16T07:37:53.472Z,2022-06-24T13:51:58.129Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,,Dr.,https://www.linkedin.com/in/negar-majma-1111a173/,"Data science, Machine learning, Reinforcement learning",Postgraduate Degree (PhD),Senior Level (5+ Years),Postdoc,"Education, Health, Software, Technology (Product Development)",Full Time,"Data Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,True,True,True -3beb2fd2-0e05-451a-8790-96f736e78b43,mark.zhemian@gmail.com,Zhemian,Wang,https://talenthub.vectorinstitute.ai/profiles/1545939/view_image/0.jpeg,Master of Management In Artificial Intelligence - Full Time Student,,4168770506,,,,https://www.linkedin.com/in/zhemian-mark-wang-cpa,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3beb2fd2-0e05-451a-8790-96f736e78b43/resume,Toronto,Ontario,,Canada,linkedin,2019-12-02T15:12:31.036Z,2022-11-17T21:56:49.534Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/zhemian-mark-wang-cpa-ba211097/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management in Artificial Intelligence,Financial Services,Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer",York University,True,True,True,True -9e231031-6694-47cb-b309-19d5b77bf357,seraypulluk@gmail.com,Seray,Pulluk,https://talenthub.vectorinstitute.ai/profiles/2691225/view_image/SPtransparent.png,Data Science Grad Student,,,,https://github.com/pullukse,,https://www.linkedin.com/in/seray-pulluk/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9e231031-6694-47cb-b309-19d5b77bf357/resume,Toronto,Ontario,,Canada,linkedin,2022-02-14T19:37:03.980Z,2022-02-14T23:23:33.879Z,False,False,Not Affiliated with Vector,No,Other Vector Programming,,Winter 2024 (December 2023 - March 2024),Excel to AI alumni,Miss.,https://www.linkedin.com/in/seray-pulluk/,"AI safety, Bayesian methods, Bioinformatics, Computational biology, Data science, Deep learning, Machine learning, Natural language processing, Reinforcement learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Information,"Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract","Data Analyst, Data Architect, Data Engineer, Data Scientist",University of Toronto,True,True,True,True -bece919c-c048-4f98-a25b-d7f3b5876ce8,xiangying.meng@queensu.ca,Mia,Meng,https://talenthub.vectorinstitute.ai/profiles/2515946/view_image/linkedin.png,,,647-818-9210,,,,https://www.linkedin.com/in/xiangying-mia-m-4ba076b9/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/bece919c-c048-4f98-a25b-d7f3b5876ce8/resume,Toronto,Ontario,,Canada,,2021-09-19T20:17:45.349Z,2022-06-16T22:21:25.341Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/xiangying-mia-m-4ba076b9/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management Analytics,"Financial Services, Professional Services (e.g Consulting), Retail, Software, Technology (Product Development)","Full Time, Internship, Contract","Data Scientist, Machine Learning Engineer, Product/Project Manager",Queen's University,True,True,True,True -b15d61b0-6bb4-49e9-bb97-aee0a2802141,maryam.taheri.shirazi@gmail.com,Maryam,Taheri-Shirazi,https://talenthub.vectorinstitute.ai/profiles/1966790/view_image/DSC_0765.JPG,AI/Machine Learning Researcher,"My name is Maryam Taheri-Shirazi and currently, I am working as an AI/Machine learning researcher at SickKids Research Institute. I completed my master's degree in computer engineering, focusing on applied machine learning and AI at York University in October 2020.",4163209427,,,,https://www.linkedin.com/in/maryamtaherishirazi,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b15d61b0-6bb4-49e9-bb97-aee0a2802141/resume,Toronto,Ontario,,Canada,,2020-09-04T14:57:49.993Z,2022-11-11T19:04:04.797Z,False,False,Connected to Vector Research,Yes,Vector Faculty or Faculty Affiliate,Dr. James Elder,Already Graduated,,Ms.,http://linkedin.com/in/maryamtaherishirazi,"Computer vision, Data science, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),M.A.Sc. in Computer Engineering,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Data Scientist, Machine Learning Researcher/Scientist ",York University,True,True,True,True -faa96f9a-3c5e-4145-b2d1-5be0b2fe1d48,noahnanan@hotmail.com,Noah,Nanan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Schulich MBAN '23 Candidate,"Greetings! My name is Noah Nanan. I am a Master of Business Analytics student at the Schulich School of Business and an aspiring Data Scientist. +e112b978-0ab8-41ec-bd4f-0531959524aa,tonekabonisana@gmail.com,Sana,Tonekaboni,https://talenthub.vectorinstitute.ai/profiles/1570864/view_image/0.jpeg,,,,,http://www.cs.toronto.edu/~stonekaboni/,,https://www.linkedin.com/in/sana-tonekaboni-650231b0,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e112b978-0ab8-41ec-bd4f-0531959524aa/resume,Toronto,Ontario,,Canada,linkedin,2019-12-20T15:52:56.658Z,2022-09-02T11:33:46.649Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Anna Goldenberg,Other/Undetermined,,Mrs.,https://www.linkedin.com/in/sana-tonekaboni-650231b0/,"Healthcare and/or medical imaging, Self-supervised learning, Time-series forecasting and modelling",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer science,"Health, Software",Full Time,Machine Learning Researcher/Scientist ,University of Toronto,True,True,True,True +c27b06b7-1c05-42b7-8650-5f417f7625e1,chuanzhengtmac@gmail.com,Chuanzheng,Wang,https://talenthub.vectorinstitute.ai/profiles/2998752/view_image/1626743946826.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-09-12T19:53:21.637Z,2022-09-12T19:53:22.201Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/chuanzheng-wang-605705a4/,,,,,,,,,True,False,True,True +d2d5b0d4-4240-4833-a959-f471166390a6,arutkowska@ryerson.ca,Agnieszka,Rutkowska,https://talenthub.vectorinstitute.ai/profiles/2994398/view_image/20180908_144141__2_.jpg,,"· Certified in Data Science and Big Data Analytics +· Certified Business Analysis Professional +· Efficient in project portfolio analysis by tracking project expenses and resource allocations as well as monitoring statuses with regards to project forecasts and roadmaps. +· Practical experience in project management using Lean Six Sigma DMAIC and DESGN methods, and good knowledge of Agile and Waterfall methods. +· Sound ability to work closely with other departments to analyze information and gather requirements, including both business and technical resources at all levels of global organization. +· Proficient in preparing periodical and ad-hoc reports, as well as calculating metrics and KPIs. +· Demonstrated problem solving skills applied in process design and improvement. +· Effective oral and written communication skills applied in creating documents, facilitating meetings and delivering presentations to senior executives. + +Big Data Analytics Technical skills +· Programming Skills: R, SQL, Apache Hadoop, Hive, Pig, Spark, Regular Expressions (Regex), VBA +· Data Analytics Tools: Weka, MySQL, Apache Hadoop, HBase +· O/S: Windows, Linux Ubuntu +· Skills: Parallel Programming and Distributed Systems, Time Regression Analysis +· Reporting: Excel, Tableau, SharePoint +· ERP: SAP PS, SAP FICO",416-735-5488,,,,https://www.linkedin.com/in/aarutkowska/,,True,False,,Toronto,Ontario,,Canada,,2022-09-09T12:59:55.927Z,2022-09-14T00:50:58.604Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Ms.,https://ca.linkedin.com/in/aarutkowska,"Data science, Machine learning, Time-series forecasting and modelling",Graduate Degree (Masters),Senior Level (5+ Years),"Data Science and Analytics, MSc","Education, Financial Services, Manufacturing , Professional Services (e.g Consulting), Technology (Information and Media)","Full Time, Capstone Project","Data Analyst, Data Scientist, Machine Learning Researcher/Scientist ",Ryerson University,True,True,True,True +b7bdeeb3-9842-4785-9049-64626e3d510a,sachamarendavis@gmail.com,Sacha,Davis,https://talenthub.vectorinstitute.ai/profiles/3005534/view_image/AmpersandGrey-Amii-2021-08-18-031.jpeg,Project Management Intern; Computer Science Graduate Student,,5875965489,,http://sachadavis.com,,https://www.linkedin.com/in/sachamarendavis/,sachamarendavis,True,False,https://canadaai.jobboard.io/api/v1/profiles/b7bdeeb3-9842-4785-9049-64626e3d510a/resume,Toronto,Ontario,,Canada,,2022-09-16T18:30:20.211Z,2022-09-19T15:49:26.107Z,False,False,Internal Staff,Yes,Other/Unsure,,Spring/Summer 2023 (April - July),Project Management Intern,Ms.,https://www.linkedin.com/in/sachamarendavis/,"Bioinformatics, Deep learning, Healthcare and/or medical imaging",Graduate Degree (Masters),Entry Level (0-2 Years),M.Sc. Computing Science,"Health, Professional Services (e.g Consulting), Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Researcher/Scientist , Product/Project Manager",Other,True,True,True,True +e594f369-a620-4a6b-a583-77a9597b4fca,serafinachen21@gmail.com,Serafina,Chen,https://talenthub.vectorinstitute.ai/profiles/3014249/view_image/1556810529650.jpeg,,,6476758806,,,,,,True,False,,Toronto,Ontario,,Canada,linkedin,2022-09-22T13:02:34.060Z,2022-09-22T13:02:34.553Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Miss.,https://www.linkedin.com/in/serafina-chen/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,"Financial Services, Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",University of Toronto,True,True,True,True +3f239b6d-b6ed-4fb4-976d-5874acd90e30,matthew.kazarian@rotman.utoronto.ca,Matthew,Kazarian,https://talenthub.vectorinstitute.ai/profiles/2994403/view_image/Matthew_Kazarian_Image_v2.jpg,Rotman MMA Candidate,Rotman Master of Management Analytics candidate with 3+ years of work experience in manufacturing work environment. I have a Mechanical Engineering background and have a passion for solving complex problems leveraging data with a particular interest in process improvements.,6134020463,,,,https://www.linkedin.com/in/matthewkazarian,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3f239b6d-b6ed-4fb4-976d-5874acd90e30/resume,Toronto,Ontario,,Canada,,2022-09-09T12:59:56.672Z,2022-09-22T17:36:23.606Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,www.linkedin.com/in/matthewkazarian,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management Analytics,"Health, Manufacturing , Professional Services (e.g Consulting), Retail","Full Time, Contract","Data Analyst, Data Scientist, Product/Project Manager",University of Toronto,True,False,True,True +27435afb-0501-4040-97db-5fb665af486b,tianyi.wu@ontariotechu.net,Tianyi,Wu,https://talenthub.vectorinstitute.ai/profiles/3010877/view_image/Photo.jpg,Business Executive,A motivated student pursuing a Master's degree in Business Analysis and AI and pursuing practical experience as Business Analyst Intern. Organized and hardworking with first-rate communication and time management abilities. Eager to apply skills and make positive real-world contributions to business success.,365-688-5701,,,,https://www.linkedin.com/in/tianyi-wu-0373826b/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/27435afb-0501-4040-97db-5fb665af486b/resume,Oshawa,Ontario,,Canada,,2022-09-20T15:14:36.389Z,2022-09-22T13:27:48.354Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Ms.,https://www.linkedin.com/in/tianyi-wu-0373826b/,"Computer vision, Data science, Fairness, Healthcare and/or medical imaging, Machine learning, Online learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Business Analysis and AI,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media)","Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Other ",OntarioTech University,True,True,True,True +175de709-9fda-411a-a55d-7d76c8584503,eastsai@hotmail.com,Xiaochen,Wu,https://talenthub.vectorinstitute.ai/profiles/3010861/view_image/WeChat_Image_20201125003109.jpg,Analyst,,6477215655,,,,https://www.linkedin.com/in/xiaochen-wu87,,True,False,https://canadaai.jobboard.io/api/v1/profiles/175de709-9fda-411a-a55d-7d76c8584503/resume,Markham,Ontario,,Canada,,2022-09-20T15:14:13.137Z,2022-09-22T20:35:14.661Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Spring/Summer 2023 (April - July),,Miss.,http://linkedin.com/in/xiaochen-wu87,"Computer vision, Data science, Game theory",Graduate Degree (Masters),Mid-Level (3-5 Years),Business Analytics Master,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Product/Project Manager, Other ",York University,True,True,True,True +1f59f1ce-d9db-4099-934c-b011cc36e84c,umairzia51@gmail.com,Umair,Zia,https://talenthub.vectorinstitute.ai/profiles/2998360/view_image/1654550183134.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-09-12T15:09:57.548Z,2022-09-12T15:09:57.968Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/umairzia777/,,,,,,,,,True,False,True,True +1ad3cce8-3360-4b13-a35b-919e571fefbf,bhavjot.grewal@mail.utoronto.ca,Bhavjot,Grewal,https://talenthub.vectorinstitute.ai/profiles/3007532/view_image/1660281014435.jpeg,,,,,,,https://ca.linkedin.com/in/bhavjotgrewal,,True,False,https://canadaai.jobboard.io/api/v1/profiles/1ad3cce8-3360-4b13-a35b-919e571fefbf/resume,,,,,linkedin,2022-09-18T15:30:03.129Z,2022-09-18T15:30:03.784Z,False,False,Internal Staff,Yes,Other/Unsure,,Spring/Summer 2024 (April - July),Automation Intern,Mr.,https://www.linkedin.com/in/bhavjotgrewal/,"Computer vision, Robotics, Unsupervised learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science,"Financial Services, Health, Retail, Software, Technology (Product Development), Telecommunications, Transportation","Internship, Co-op","Machine Learning Engineer, Software Engineer",University of Toronto,True,True,True,True +577407b3-db75-479c-8613-4724668f1068,liutheo8@gmail.com,Theodore,Liu,https://talenthub.vectorinstitute.ai/profiles/2495151/view_image/1602917531536.jpeg,,,,,,,https://www.linkedin.com/in/theoliu8/,,True,False,,,,,,linkedin,2021-09-03T01:03:27.948Z,2022-08-30T18:37:28.790Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/theoliu8/,"AI safety, Bioinformatics, Computational biology, Computer vision, Data science, Deep learning, Fairness, Game theory, Healthcare and/or medical imaging, Law, ethics and policy, Machine learning, Natural language processing, Neuroscience, Optimization, Privacy, anonymity, and/or security, Quantum computing, Reinforcement learning, Robotics, Transfer learning, Unsupervised learning, Wearable technology and/or Internet of Things",High School,Entry Level (0-2 Years),Health & Engineering Science,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",McMaster University,True,True,True,True +2912e2d5-bfdd-47c6-989c-9f9a08ab7225,raissk@gmail.com,Saad,Rais,https://talenthub.vectorinstitute.ai/profiles/2861333/view_image/1592781713092.jpeg,Senior AI Manager and Instructor,See https://www.linkedin.com/in/saadrais/,416-268-5729,,,,https://www.linkedin.com/in/saadrais/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2912e2d5-bfdd-47c6-989c-9f9a08ab7225/resume,Toronto,Ontario,,Canada,linkedin,2022-06-16T23:10:24.238Z,2022-07-04T18:00:12.880Z,False,False,Connected to Vector Research,Yes,Other/Unsure,"Elham Dolatabadi, Ethan Jackson, Laurent Moreno, Allison Paprica, Andrea Proctor",Already Graduated,"As a data scientist at the Ministry of Health, I have collaborated with Vector Institute on projects and events.",Mr.,https://www.linkedin.com/in/saadrais/,"Data science, Healthcare and/or medical imaging, Machine learning",Graduate Degree (Masters),Senior Level (5+ Years),Mathematics and Statistics,"Health, Public Administration (i.e Gov't)",Contract,Data Scientist,McMaster University,True,True,True,True +8667aedf-d25b-4af0-87c8-9e03225ad469,harithakotla4@gmail.com,Haritha,Karimi,https://talenthub.vectorinstitute.ai/profiles/2985118/view_image/1620273300939.jpeg,,,,,,,https://www.linkedin.com/in/haritha-karimi-2a871565/,,True,False,,,,,,linkedin,2022-09-03T13:54:54.042Z,2022-09-03T13:54:54.884Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/haritha-karimi-2a871565/,,,,,,,,,True,False,True,True +c7778760-8497-4c15-9a36-f6a927b442b6,sdanisa@cs.toronto.edu,Siphelele ,Danisa,https://talenthub.vectorinstitute.ai/profiles/2785639/view_image/20200712_151639.jpg,CIBC ML Applied Researcher | Uoft Instructor ,,,,,,https://www.linkedin.com/in/siphelele-danisa-956175156/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c7778760-8497-4c15-9a36-f6a927b442b6/resume,Toronto,Ontario,,Canada,,2022-04-26T17:34:15.938Z,2022-10-15T20:25:55.613Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/siphelele-danisa-956175156/,"AI safety, Data science, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),MSc in Applied Computing,Type of Work is More Important to me than Sector,Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,False,True,True +a91a667a-bba6-4391-bc6a-7a826dfdede4,gbhatt@cs.ubc.ca,Gaurav,Bhatt,https://talenthub.vectorinstitute.ai/profiles/3143573/view_image/Screenshot_2019-10-05_at_11.41.49_PM.png,,,+12369900030,,,,https://www.linkedin.com/in/gaurav-bhatt-9733324b/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a91a667a-bba6-4391-bc6a-7a826dfdede4/resume,Vancouver,British Columbia,,Canada,,2022-11-19T07:22:27.040Z,2022-11-19T07:22:27.072Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Leonid Sigal,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/gaurav-bhatt-9733324b/,"Computer vision, Deep learning, Few-shot learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),PhD Computer Science,Software,"Internship, Co-op",Machine Learning Researcher/Scientist ,Other,True,False,True,True +8aaf0bf0-3f22-4d7e-b2d3-6e9e7e761074,ashima.uoft@gmail.com,Ashima,Mahajan,https://talenthub.vectorinstitute.ai/profiles/2808547/view_image/Ashima_Mahajan_Grey_Background_Photo-enhanced.jpg,"Experience Professional with interest in Analytics, Technology, Strategy and Consulting","Ashima Mahajan is an experienced professional with over 5 years of extensive experience in the fields of analytics, consulting and public policy. She brings with her expertise in data analytics, strategy and market assessment, project management, business development, government advisory, and stakeholder management. Ashima is a creative problem-solver and can confidently handle large datasets, and perform complex analytical and financial modelling. -My experience working as a Junior Copywriter has provided invaluable experience in the field of marketing metrics. Accompanied with understanding why customers buy, working with real-time data, and verifying key performance indicators, I've had the privilege of working alongside esteemed business executives and learning industry software to exemplify my findings. +Ashima is currently pursuing Master of Management Analytics from the Rotman School of Management, University of Toronto. In the future, Ashima wants to use data science, AI and machine learning to solve real-world complex business problems. -Working as a Grounds Operator at the Toronto District School Board and FC Associate at Amazon has allowed me to experience the workflow of a fast-paced environment. Through tight deadlines and continuous deliverables, I've developed a systematic approach to high-quality outputs while upholding an organized workload throughout the project lifecycle. +Ashima is an IT engineer from Netaji Subhas Institute of Technology (NSIT), University of Delhi and did her post-graduation in public policy from Indian School of Public Policy (ISPP), Delhi. She is certified in Public Policy and International Development from Harris School of Public Policy, University of Chicago. -My internship experience, educational background, and passion for the industry have paved a pathway toward becoming a Data Scientist. These characteristics combined with my skill sets have enabled me to tackle challenges and operate in the fast-paced environments required for the field of analytics.",905-995-1512,,,,https://www.linkedin.com/in/noahnanan/,,True,True,https://canadaai.jobboard.io/api/v1/profiles/faa96f9a-3c5e-4145-b2d1-5be0b2fe1d48/resume,Toronto,Ontario,,Canada,,2022-08-08T23:18:53.490Z,2023-05-25T17:46:10.409Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/noahnanan/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Business Analytics,Type of Work is More Important to me than Sector,Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist",York University,True,False,True,True -3017e512-8ef0-4fe7-b61b-04a0d968260a,bsaldivar.emc2@gmail.com,Bryan Percy,Saldivar Espinoza,https://talenthub.vectorinstitute.ai/profiles/2670207/view_image/Bryan_blue_urv_pi.jpg,Machine learning engineer / Data science/ bioinformatics,"I am doing my PhD at the Universitat Rovira i Virgili, Spain. Applying Machine learning on bioinformatics data. I have applied ML for mutation's prediction (https://www.mdpi.com/1422-0067/23/23/14683). I got third place on a data science competition with banking data, on January 2023 (https://www.bbva.com/es/pe/bbva-data-challenge-2022-finalizo-con-cifras-historicas-en-peru/) -I worked previously applying ML Computer Vision for anemia diagnosis in Peru. Previous experience is related to IT, servers, linux, cloud technology. I also have a master in innovation management. I am peruvian, not in Canada, looking for part time job/project/hourly done remotely or a full time position by 2025.",+51946124177,,https://github.com/bsaldivaremc2,,https://linkedin.com/in/bsaldivaremc2,bsaldivaremc2,True,False,https://canadaai.jobboard.io/api/v1/profiles/3017e512-8ef0-4fe7-b61b-04a0d968260a/resume,,,,,,2022-01-31T03:33:17.764Z,2022-08-30T21:30:26.622Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Unsure,,Fall 2022 (August - November),"so, I have no idea how to become part of you people, I am really interested in joining, I am a peruvian doing a PhD in Spain",Mr.,https://linkedin.com/in/bsaldivaremc2,"Bioinformatics, Computational biology, Computer vision",Postgraduate Degree (PhD),Entry Level (0-2 Years),Machine learning in bioinformatics,"Health, Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True -ecd111b5-f8c4-44b4-8463-2d435ffb203c,johnmgiorgi@gmail.com,John,Giorgi,https://talenthub.vectorinstitute.ai/profiles/2180622/view_image/profile_picture_square.png,Computer Science PhD Student at the University of Toronto / Vector Institute,"I am a 4th-year computer science Ph.D. student at the University of Toronto and a graduate student researcher at the Donnelly Centre for Cellular and Biomolecular Research and the Vector Institute and former intern at Ai2 on the Semantic Scholar team. My work centres on information extraction and natural language processing (NLP) from/on biomedical literature. I completed my undergraduate degree at the University of Ottawa, graduating magna cum laude with a B.Sc in biochemistry. I completed my Masters degree in computer science at the University of Toronto.",,,https://github.com/JohnGiorgi,,https://www.linkedin.com/in/john-giorgi/,johnmgiorgi,True,False,https://canadaai.jobboard.io/api/v1/profiles/ecd111b5-f8c4-44b4-8463-2d435ffb203c/resume,Toronto,Ontario,,Canada,linkedin,2021-01-06T20:53:43.935Z,2022-10-21T19:21:09.874Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Student or Postdoc of a Vector Faculty Member,Bo Wang,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/john-giorgi/,"Bioinformatics, Deep learning, Natural language processing",Graduate Degree (Masters),Senior Level (5+ Years),Biochemistry (Undergraduate) & Computer Science (Graduate),"Education, Health, Software, Technology (Product Development)","Full Time, Internship","Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",University of Toronto,True,False,True,True -ac2146ee-6f85-4046-979d-cd25e79504ec,yash.sawant96@gmail.com,Yash,Sawant,https://talenthub.vectorinstitute.ai/profiles/3157131/view_image/1645513551140.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-11-29T03:07:52.352Z,2022-11-29T03:07:52.703Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/yash-sawant13/,,,,,,,,,True,True,True,True -074b0597-9cf2-4b29-83ad-ecb0187fa821,odeyemig@uwindsor.ca,Glory,Odeyemi,https://talenthub.vectorinstitute.ai/profiles/2994449/view_image/IMG_1846.png,Java Backend Developer and Machine Learning Enthusiast,"A professional with experience in Engineering management, Project management, and Technical requirement gathering transitioning into a Data Science and Machine Learning role. Proficient in Data analysis, visualization, ETL, and Machine Learning algorithms, as well as languages including Python and Java.",+12267392166,,https://medium.com/@gloryodeyemi.nike,,https://www.linkedin.com/in/glory-odeyemi-a3a680169/,GloryOdeyemi,False,False,https://canadaai.jobboard.io/api/v1/profiles/074b0597-9cf2-4b29-83ad-ecb0187fa821/resume,Windsor,Ontario,,Canada,,2022-09-09T13:00:02.506Z,2023-06-01T18:56:24.521Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2025 (December 2024 - March 2025),,Miss.,https://www.linkedin.com/in/glory-odeyemi-a3a680169,"Data science, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Financial Services, Software, Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Software Engineer",University of Windsor,True,False,True,True -f6a64cc3-0a93-4862-99eb-fe9a424131a9,mohammad.m.m.af.1999@gmail.com,Mohammad,Afzali Kharkouei,https://talenthub.vectorinstitute.ai/profiles/3026860/view_image/tg_image_1778779324.jpeg,ML Researcher,"I am interested in theoretical aspects of statistical ML and Differential Privacy. -Currently, I'm a research assistant at McMaster University working on differentially private distribution learning. Prior to that, I was a research assistant at the Sharif University of Technology. -Also, I was a Data Engineer at Balad company (Balad is the leading map and navigation service in Iran) and have technical experience implementing large-scale ML algorithms related to map and navigation systems.",3658830105,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f6a64cc3-0a93-4862-99eb-fe9a424131a9/resume,Hamilton,Ontario,,Canada,,2022-10-01T00:57:14.284Z,2022-10-11T16:44:24.870Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,Dr. Hassan Ashtiani,Spring/Summer 2024 (April - July),,Mr.,https://www.linkedin.com/in/mohammad-afzali-461bba214/,"Adversarial learning, Machine learning, Optimization, Privacy, anonymity, and/or security, Reinforcement learning, Statistical learning theory",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,Type of Work is More Important to me than Sector,"Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",McMaster University,True,True,True,True +In her spare time, Ashima enjoys painting Mandala art, exploring new places and doing adventure sports. She is also passionate about dance and aerobics.",+14168979031,,,,https://www.linkedin.com/in/mahajan-ashima/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8aaf0bf0-3f22-4d7e-b2d3-6e9e7e761074/resume,,,,Canada,,2022-05-12T14:22:39.486Z,2022-09-21T22:03:10.141Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mrs.,www.linkedin.com/in/mahajan-ashima,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management Analytics,,"Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",University of Toronto,True,True,True,True +e19f29c2-f481-4f50-aa29-053530c5f2e1,a.foundjem@queensu.ca,Armstrong,Foundjem,https://talenthub.vectorinstitute.ai/profiles/2117611/view_image/army.jpeg,Board Member CHAOSS -- Linux Foundation,"A Mixed-method researcher (Ph.D.) with interests in the intersection of software ecosystem sustainability, Human-centered design, human-computer interaction, release engineering (DevOps), explainable AI, software (SW) engineering for machine learning (ML) Applications, mining massive software repositories and datasets, Natural language processing and applied ML, software evolution and maintenance, empirical software engineering, edge/cloud computing. Skills in robotics and automation. Affiliated to MCIS laboratory at Queen's University and advised by Prof. Bram Adams",5146550942,,,,https://www.linkedin.com/in/foundjem/,foundjem,True,False,https://canadaai.jobboard.io/api/v1/profiles/e19f29c2-f481-4f50-aa29-053530c5f2e1/resume,,,,,,2020-10-30T15:30:41.342Z,2022-09-19T22:56:13.431Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,,Dr.,https://www.linkedin.com/in/foundjem/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Software Engineering,,"Full Time, Internship","Data Analyst, Data Architect, Data Engineer, Data Scientist, Software Engineer",Queen's University,True,True,True,True 2c6d8fad-9891-4735-8f36-8ec4a6fc365e,oozyegen@gmail.com,Ozan,Ozyegen,https://talenthub.vectorinstitute.ai/profiles/1902448/view_image/0.jpeg,ML Researcher | Data Scientist | PhD,"Experienced Data Scientist. Resourceful in applied machine learning. Focused on AI Interpretability, Time Series Forecasting, Deep Learning and Natural Language Processing. Highly motivated, quick-learner. ",,,http://ozyegen.com/about,,https://linkedin.com/in/ozanozyegen/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2c6d8fad-9891-4735-8f36-8ec4a6fc365e/resume,Toronto,Ontario,,Canada,linkedin,2020-08-02T21:45:34.894Z,2022-09-24T11:01:57.865Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://linkedin.com/in/ozanozyegen/,"Data science, Deep learning, Interpretability, Machine learning, Natural language processing, Time-series forecasting and modelling",Postgraduate Degree (PhD),Senior Level (5+ Years),"PhD in Mechanical and Industrial Eng., MSc in Data Science and Analytics","Education, Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Ryerson University,True,True,True,True 89b68305-886c-4113-b743-9bb15aff8020,speak2arpit@gmail.com,Arpit,Kulshrestha,https://talenthub.vectorinstitute.ai/profiles/3016401/view_image/1645535807101.jpeg,Technology Architect,I love solving problems and programming,4168763727,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/89b68305-886c-4113-b743-9bb15aff8020/resume,Toronto,Ontario,,Canada,linkedin,2022-09-23T22:06:30.668Z,2022-09-23T22:06:31.314Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/speak2arpit/,"Anomaly detection, Computer vision, Data science, Deep learning, Machine learning, Natural language processing, Optimization, Privacy, anonymity, and/or security, Recommender systems, Reinforcement learning, Representation learning, Robotics, Self-supervised learning, Time-series forecasting and modelling, Unsupervised learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Senior Level (5+ Years),Data Analytics with applied machine learning,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True 012c28af-eb59-47f7-a6ee-5fa28ec6732d,vandenes@uoguelph.ca,Sam,van den Eijnden,https://talenthub.vectorinstitute.ai/profiles/2991731/view_image/profilepic.png,Computer Engineering Student,"Currently a MASc CSAI student with an interest in the field of machine learning and how it applies to electronic design automation, specifically FPGA routing.",,,,,https://linkedin.com/in/vandenes,,True,False,https://canadaai.jobboard.io/api/v1/profiles/012c28af-eb59-47f7-a6ee-5fa28ec6732d/resume,Guelph,Ontario,,Canada,,2022-09-07T21:11:09.491Z,2022-09-23T16:10:48.877Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Graham Taylor,Winter 2024 (December 2023 - March 2024),,Mr.,https://linkedin.com/in/vandenes,"Machine learning, Optimization, Reinforcement learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Engineering,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Product Development)","Internship, Co-op","Data Engineer, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Guelph,True,True,True,True cc718c94-6274-4c37-a625-c4b965c44081,aalaagib@aimsammi.org,Aisha,Alaagib,https://talenthub.vectorinstitute.ai/profiles/1571085/view_image/avatar.jpg,,,,,,,https://www.linkedin.com/in/aisha-alaagib-26582a151/,AishaAlaagib,True,False,https://canadaai.jobboard.io/api/v1/profiles/cc718c94-6274-4c37-a625-c4b965c44081/resume,,,,,,2019-12-20T19:25:22.286Z,2022-10-25T22:42:01.777Z,False,False,Connected to Vector Research,Yes,Other/Unsure,Nicolas Papernot,Already Graduated,research intern,Ms.,https://www.linkedin.com/in/aisha-alaagib-26582a151/,"Adversarial learning, AI safety, Computer vision, Data science, Deep learning, Few-shot learning, Interpretability, Machine learning, Natural language processing, Representation learning, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),African Institute for Mathematical Sciences (AIMS-Rwanda),"Education, Financial Services, Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,True,True,True -1ad3cce8-3360-4b13-a35b-919e571fefbf,bhavjot.grewal@mail.utoronto.ca,Bhavjot,Grewal,https://talenthub.vectorinstitute.ai/profiles/3007532/view_image/1660281014435.jpeg,,,,,,,https://ca.linkedin.com/in/bhavjotgrewal,,True,False,https://canadaai.jobboard.io/api/v1/profiles/1ad3cce8-3360-4b13-a35b-919e571fefbf/resume,,,,,linkedin,2022-09-18T15:30:03.129Z,2022-09-18T15:30:03.784Z,False,False,Internal Staff,Yes,Other/Unsure,,Spring/Summer 2024 (April - July),Automation Intern,Mr.,https://www.linkedin.com/in/bhavjotgrewal/,"Computer vision, Robotics, Unsupervised learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science,"Financial Services, Health, Retail, Software, Technology (Product Development), Telecommunications, Transportation","Internship, Co-op","Machine Learning Engineer, Software Engineer",University of Toronto,True,True,True,True -577407b3-db75-479c-8613-4724668f1068,liutheo8@gmail.com,Theodore,Liu,https://talenthub.vectorinstitute.ai/profiles/2495151/view_image/1602917531536.jpeg,,,,,,,https://www.linkedin.com/in/theoliu8/,,True,False,,,,,,linkedin,2021-09-03T01:03:27.948Z,2022-08-30T18:37:28.790Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/theoliu8/,"AI safety, Bioinformatics, Computational biology, Computer vision, Data science, Deep learning, Fairness, Game theory, Healthcare and/or medical imaging, Law, ethics and policy, Machine learning, Natural language processing, Neuroscience, Optimization, Privacy, anonymity, and/or security, Quantum computing, Reinforcement learning, Robotics, Transfer learning, Unsupervised learning, Wearable technology and/or Internet of Things",High School,Entry Level (0-2 Years),Health & Engineering Science,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",McMaster University,True,True,True,True -a91a667a-bba6-4391-bc6a-7a826dfdede4,gbhatt@cs.ubc.ca,Gaurav,Bhatt,https://talenthub.vectorinstitute.ai/profiles/3143573/view_image/Screenshot_2019-10-05_at_11.41.49_PM.png,,,+12369900030,,,,https://www.linkedin.com/in/gaurav-bhatt-9733324b/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a91a667a-bba6-4391-bc6a-7a826dfdede4/resume,Vancouver,British Columbia,,Canada,,2022-11-19T07:22:27.040Z,2022-11-19T07:22:27.072Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Leonid Sigal,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/gaurav-bhatt-9733324b/,"Computer vision, Deep learning, Few-shot learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),PhD Computer Science,Software,"Internship, Co-op",Machine Learning Researcher/Scientist ,Other,True,False,True,True +65a217a4-cdb9-4667-b29a-c6e9fc0e0f91,balusanivineeth8@gmail.com,Vineeth,Balusani,https://talenthub.vectorinstitute.ai/profiles/3023355/view_image/1638162025512.jpeg,Experienced Data Scientist,"I am Vineeth, and I am an experienced Data Scientist and Machine Learning Engineer in the financial services sector with a demonstrated capacity to work on big and complicated datasets. Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Python programming, SQL, Azure, and the creation of E2E Machine Learning platforms are among my specialties. ",6136190849,,,,https://www.linkedin.com/in/vineeth-balusani/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/65a217a4-cdb9-4667-b29a-c6e9fc0e0f91/resume,Ottawa,Ontario,,Canada,linkedin,2022-09-28T16:14:45.130Z,2022-09-28T16:14:45.632Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/vineeth-balusani/,"Data science, Machine learning, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Engineering in Electrical and Computer Engineering with conc. in Applied AI,"Education, Financial Services, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development)","Full Time, Contract","Data Engineer, Data Scientist, Machine Learning Engineer",University of Ottawa,True,False,True,True 58651ad6-8bce-48af-93fb-136eaee6d3a0,hesam.77s@gmail.com,Amir Hesam,Salimnia,https://talenthub.vectorinstitute.ai/profiles/3015902/view_image/1538973477738.jpeg,,,6478184526,,https://amirhesamsalimnia.github.io/,,https://www.linkedin.com/in/amirhesamsalimnia/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/58651ad6-8bce-48af-93fb-136eaee6d3a0/resume,London,Ontario,,Canada,linkedin,2022-09-23T14:01:48.635Z,2022-09-23T14:01:49.375Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,Ontario,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/AmirhesamSalimnia/?locale=fr_FR,"Computer vision, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Western University,True,True,True,True 3fb3f057-2f81-41b4-867f-6c6dd1bb63bd,jordanrygier@outlook.com,Jordan,Rygier,https://talenthub.vectorinstitute.ai/profiles/3046461/view_image/1616270261933.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-10-14T19:34:36.013Z,2022-10-14T19:34:36.964Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/jordan-rygier/,,,,,,,,,,,, 87641d56-fa12-4408-afd2-ea533c689f52,jesse.wardbond@mail.utoronto.ca,Jesse,Ward-Bond,https://talenthub.vectorinstitute.ai/profiles/3015852/view_image/173179765_927136161439768_9001291874075231835_n.jpg,,,,,http://jwardbond.github.io,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/87641d56-fa12-4408-afd2-ea533c689f52/resume,,,,,,2022-09-23T13:21:31.660Z,2022-09-23T13:21:31.711Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/jesse-ward-bond/?locale=fr_FR,"Deep learning, Machine learning, Optimization",Graduate Degree (Masters),Mid-Level (3-5 Years),Mechanical and Industrial Engineering,"Education, Health, Public Administration (i.e Gov't), Software, Transportation","Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer",University of Toronto,True,False,True,True fd4be147-bd94-454a-bfa9-c701bd5d8f63,maryrassam@hotmail.com,Mary,Rassam,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,https://mhi1001-module1.w3spaces.com/Module4/mhi1001-module4.html,,https://www.linkedin.com/in/mary-rassam-5a980624b/,,True,True,https://canadaai.jobboard.io/api/v1/profiles/fd4be147-bd94-454a-bfa9-c701bd5d8f63/resume,,,,,linkedin,2022-10-14T23:21:15.513Z,2022-10-14T23:21:16.200Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Miss.,https://www.linkedin.com/in/mary-rassam-5a980624b/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Health Informatics,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Full Time, Internship","Data Analyst, Data Scientist, Other ",University of Toronto,True,False,True,True -8667aedf-d25b-4af0-87c8-9e03225ad469,harithakotla4@gmail.com,Haritha,Karimi,https://talenthub.vectorinstitute.ai/profiles/2985118/view_image/1620273300939.jpeg,,,,,,,https://www.linkedin.com/in/haritha-karimi-2a871565/,,True,False,,,,,,linkedin,2022-09-03T13:54:54.042Z,2022-09-03T13:54:54.884Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/haritha-karimi-2a871565/,,,,,,,,,True,False,True,True +a494ed81-9bad-49c4-b388-734eb769870a,t4shan@uwaterloo.ca,David,Shan,https://talenthub.vectorinstitute.ai/profiles/3013101/view_image/WeChat_Image_20220922203643.jpg,Waterloo MDSAI 2023 | Queen's Math & Econ 2022 | Data Scientist | Machine Learning Specialist,"I am a scientist at heart, with a passion for learning about new technologies and algorithms. I have a background in data science, and I'm excited about using my skillset to improve our society.",6479130864,,https://github.com/Davidshan0814,,https://www.linkedin.com/in/davidshan0814/,,True,False,,Waterloo,Ontario,,Canada,,2022-09-21T20:23:23.396Z,2022-11-11T18:33:14.889Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/davidshan0814/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Science & Artificial Intelligence,"Financial Services, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Internship, Co-op","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer",University of Waterloo,True,True,True,True +7f374299-5fc5-4823-bed1-32907470adc2,justin.zcyuan@gmail.com,Zhaocong,Yuan,https://talenthub.vectorinstitute.ai/profiles/3089320/view_image/Justin_new.png,,"I am a MASc student in RL and Robotics at the University of Toronto, supervised by Prof. Angela Schoellig at Dynamic Systems Lab (DSL), also part of Vector Institute and UofT Robotics Institute. + +I received my BASc degree from Engineering Science (Robotics), UofT. Before joining DSL, I interned in Apple Siri team in Seattle and Nvidia Toronto AI lab led by Prof. Sanja Fidler. I also spent time as a research student at Data-Driven Decision Making Lab led by Prof. Scott Sanner. + +I'm generally interested in machine learning, reinforcement learning, and robotics. My current research focus is on safe RL and transfer learning in RL (specifically in Sim-to-Real applications).",4168346221,,https://justin-yuan.github.io/,,https://www.linkedin.com/in/justin-yuan/,justin_zcyuan,True,False,https://canadaai.jobboard.io/api/v1/profiles/7f374299-5fc5-4823-bed1-32907470adc2/resume,Toronto,Ontario,,Canada,,2022-10-23T03:29:44.082Z,2022-10-23T03:29:44.132Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Angela Schoellig,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/justin-yuan/,"Adversarial learning, AI safety, Computer vision, Deep learning, Generative modeling, Machine learning, Natural language processing, Reinforcement learning, Robotics, Transfer learning",Graduate Degree (Masters),Entry Level (0-2 Years),Aerospace Science and Engineering,Software,Full Time,"Data Engineer, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True +f6a64cc3-0a93-4862-99eb-fe9a424131a9,mohammad.m.m.af.1999@gmail.com,Mohammad,Afzali Kharkouei,https://talenthub.vectorinstitute.ai/profiles/3026860/view_image/tg_image_1778779324.jpeg,ML Researcher,"I am interested in theoretical aspects of statistical ML and Differential Privacy. +Currently, I'm a research assistant at McMaster University working on differentially private distribution learning. Prior to that, I was a research assistant at the Sharif University of Technology. +Also, I was a Data Engineer at Balad company (Balad is the leading map and navigation service in Iran) and have technical experience implementing large-scale ML algorithms related to map and navigation systems.",3658830105,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f6a64cc3-0a93-4862-99eb-fe9a424131a9/resume,Hamilton,Ontario,,Canada,,2022-10-01T00:57:14.284Z,2022-10-11T16:44:24.870Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,Dr. Hassan Ashtiani,Spring/Summer 2024 (April - July),,Mr.,https://www.linkedin.com/in/mohammad-afzali-461bba214/,"Adversarial learning, Machine learning, Optimization, Privacy, anonymity, and/or security, Reinforcement learning, Statistical learning theory",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,Type of Work is More Important to me than Sector,"Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",McMaster University,True,True,True,True +9c3e0209-ef88-4447-933c-5a87d0b5f131,nivethabalsu@gmail.com,Nivetha,Balasubramanian (She/Her),https://talenthub.vectorinstitute.ai/profiles/3133122/view_image/1666408083153.jpeg,Data Enthusiast,,,,https://nivetha96.github.io/,,https://www.linkedin.com/in/nivetha-balasubramanian-she-her-786979a0/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9c3e0209-ef88-4447-933c-5a87d0b5f131/resume,Waterloo,Ontario,,Canada,linkedin,2022-11-12T15:59:11.162Z,2022-11-14T19:22:24.563Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Ms.,https://www.linkedin.com/in/nivetha-balasubramanian-she-her-786979a0/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Management Sciences,"Financial Services, Software, Technology (Information and Media)","Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Engineer, Data Scientist, Machine Learning Engineer",University of Waterloo,True,True,True,True +bd01a7d7-859e-480b-ba51-6408332281af,a.sekhavati722@gmail.com,Ali,Sekhavati,https://talenthub.vectorinstitute.ai/profiles/3150210/view_image/1622081013147.jpeg,Machine Learning Engineer,"Resourceful engineer, always ready to innovate and work on new practical ideas.",6133011662,,https://github.com/AliGreen0,,https://linkedin.com/in/ali-sekhavati,,True,False,https://canadaai.jobboard.io/api/v1/profiles/bd01a7d7-859e-480b-ba51-6408332281af/resume,Ottawa,Ontario,,Canada,linkedin,2022-11-23T21:26:32.044Z,2022-11-23T21:26:32.703Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://linkedin.com/in/ali-sekhavati,,Graduate Degree (Masters),Mid-Level (3-5 Years),Electrical and Computer Engineering,"Education, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Ottawa,True,False,True,True +86e874c3-8aee-4a9b-bb29-0a1adbb1cd8d,mahesh.jayasankar@gmail.com,Mahesh,Jayasankar,https://talenthub.vectorinstitute.ai/profiles/3153251/view_image/1664308185895.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-11-26T02:47:27.888Z,2022-11-26T02:47:28.290Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/maheshjayasankar/,,,,,,,,,True,True,True,True +d99d02cf-98c9-42f6-b8d2-51e2a1dd92f6,12sep.shilpi.dixit@gmail.com,Shilpi,Dixit,https://talenthub.vectorinstitute.ai/profiles/3133767/view_image/1516775280241.jpeg,,,4379868599,,,,https://www.linkedin.com/in/shilpi-dixit-4a30a718,,True,False,,,Ontario,,Canada,linkedin,2022-11-13T09:58:31.054Z,2022-11-13T09:58:31.476Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mrs.,https://www.linkedin.com/in/shilpi-dixit-4a30a718/,"Data science, Optimization, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Senior Level (5+ Years),MMAI,,Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Product/Project Manager",York University,True,True,True,True +075c4921-b9ac-4a9e-9a21-59375756b8af,alimoradgabrielle@gmail.com,Gabrielle,Alimorad,https://talenthub.vectorinstitute.ai/profiles/3126607/view_image/1627498420590.jpeg,,,,,,,https://www.linkedin.com/in/gabrielleali/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/075c4921-b9ac-4a9e-9a21-59375756b8af/resume,,,,,linkedin,2022-11-08T14:55:18.188Z,2022-11-08T14:55:18.681Z,False,False,Other Vector Programming,Yes,Other Vector Programming,,Fall 2024 (August - November),"Partaking in the ""Machine Learning for Black and Indigenous Students""",Miss.,https://www.linkedin.com/in/gabrielleali/,"Data science, Healthcare and/or medical imaging, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Medical Biophysics // Epidemiology and Biostatistics,"Health, Type of Work is More Important to me than Sector","Internship, Contract","Data Analyst, Data Scientist, Other ",Western University,True,True,True,True +be9d5045-487a-447a-a6d3-7bf3ab1fe7ef,kennedysemple@hotmail.com,Kennedy,Semple,https://talenthub.vectorinstitute.ai/profiles/3124737/view_image/1616285326700.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-11-07T13:11:00.590Z,2022-11-07T13:13:01.985Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/kennedysemple/,,,,,,,,,True,True,True,True +253c4cb6-3762-48ac-b7bd-4faaffd8dfd7,jonathan.m.fisher@gmail.com,Jonathan,Fisher,https://talenthub.vectorinstitute.ai/profiles/3123446/view_image/1516868545296.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-11-06T18:36:09.046Z,2022-11-06T18:36:09.408Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/jonathanfisher10/,,,,,,,,,True,True,True,True +f8dc1e56-cf6d-453d-bc3e-3c1a01ea4d9d,kimberly.begley@gmail.com,Kimberly,Begley,https://talenthub.vectorinstitute.ai/profiles/3125475/view_image/1641944147038.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-11-07T23:28:39.478Z,2022-11-07T23:28:39.849Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/kimberly-begley/,,,,,,,,,True,True,True,True +713a698d-9154-47f4-a63b-28047c76db06,brigugls@uwindsor.ca,Spencer,Briguglio,https://talenthub.vectorinstitute.ai/profiles/2504457/view_image/Webp.net-resizeimage.png,Experienced Leader | MSc Computer Science Candidate ,"Spencer is a graduate student specializing in AI at the University of Windsor where he has held multiple leadership positions in student organizations like Enactus Windsor, and the Google Developer Student Clubs' University of Windsor chapter. He is the incoming Student Advisor to the WEtech Alliance Board of Directors and an organizing team member of various local events like WinHacks, BorderHacks, and the June 27th Miracle. Having a passion for impact, he is looking for ways to leverage his experience in molecular biology and computer science to improve the livelihoods of others.",+1 647 773 7077,,,,https://www.linkedin.com/in/santo-briguglio/,sBriguglio,True,False,https://canadaai.jobboard.io/api/v1/profiles/713a698d-9154-47f4-a63b-28047c76db06/resume,Windsor,Ontario,,Canada,,2021-09-10T17:42:46.746Z,2021-09-23T09:31:33.276Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/santo-briguglio/,"Bioinformatics, Computational biology, Healthcare and/or medical imaging",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science with Specialization in Artificial Intelligence,"Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Product Development)","Internship, Co-op","Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Windsor,True,True,True,True +ea509c81-ee58-4987-a1f8-1c3ae1c4d454,nuwan.perera@queensu.ca,Nuwan,Perera,https://talenthub.vectorinstitute.ai/profiles/1851177/view_image/0.jpeg,Data Engineer / Software Engineer,"Nuwan is a Software Engineer interested in bridging the gap between R&D and production software in the field of AI. Nuwan is currently working with #HowsMyFlattening to improve data infrastructure and tools for analysis during the COVID-19 pandemic. He has worked in several aspects of the AI ecosystem, most recently working on data pipelines and infrastructure to support the integrate.ai platform for client-specific use cases. Nuwan is also interested in the social and ethical impact of AI and is actively conducting research in this area. Prior to joining integrate.ai, Nuwan worked as a Data & Analytics Consultant at EY focused on machine learning, data strategy, and data management for the financial services industry. Nuwan holds a Bachelor of Computing (Hons) and Master of Science in Computer Science from Queen’s University. ",4168261967,,http://nuwanperera.github.io,,https://linkedin.com/in/pereranuwan,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ea509c81-ee58-4987-a1f8-1c3ae1c4d454/resume,Toronto,Ontario,,Canada,linkedin,2020-06-30T13:30:46.336Z,2020-07-16T13:12:31.844Z,False,False,Recognized Masters Program,Yes,Other/Unsure,,Already Graduated,,Mr.,https://www.linkedin.com/in/pereranuwan/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,"Construction or Infrastructure, Education, Financial Services, Health, Professional Services (e.g Consulting), Retail, Software, Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,,Queen's University,True,False,True,True +caa79f8f-acdc-49db-abe3-200c0d0e5376,matheus@mgtransfer.com.br,Matheus,Costa de Aguiar Neves,https://talenthub.vectorinstitute.ai/profiles/2444480/view_image/1568306986871.jpeg,Commercial Manager | Economist | Data Science,"I have a bachelor degree in Economics from PUC Minas and I had the opportunity to live abroad 3 times in my life. In 2011, I lived in Ottawa, Canada, to learn english, after in 2015 I lived again in Canada, in Gatineau, to learn french, and in 2019 I had the opportunity to live in France. The experiences I had living abroad made me an extremely resilient person with a very relevant adaptability. During my professional career I worked in the sports field as a soccer athlete, in the commercial sector and also in the administrative, operations and logistics areas. I am the kind of person that is always looking to learn and develop new abilities and I like to get out of my comfort zone. I believe that growth and learning come from that. In March 2020 I became very interested in Data Science and took several online courses. I learned Python and SQL language, Power BI, in addition to having a basic knowledge of Machine Learning and Artificial Intelligence algorithms. During this time I took several courses related to this area and I got a certification by IBM, which is the IBM Data Science Professional Certificate. I'm more interested every day and I am trying to sutdy and understand more about small data and big data, data analysis and how companies can generate insights and create solutions through it.",+5531997316072,,https://github.com/matheus-aguiar10,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/caa79f8f-acdc-49db-abe3-200c0d0e5376/resume,Ottawa,Ontario,,Canada,linkedin,2021-07-22T18:18:21.781Z,2021-07-22T18:18:22.079Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Other/Undetermined,I am studying at University of Ottawa.,Mr.,https://www.linkedin.com/in/matheus-costa-de-aguiar-neves-077675136/,"Anomaly detection, Data science, Machine learning",Undergraduate Degree (Bachelors),Senior Level (5+ Years),Economics,"Education, Financial Services, Public Administration (i.e Gov't), Retail, Technology (Information and Media), Technology (Product Development), Transportation","Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",University of Ottawa,True,True,True,True +18eff136-4df6-46b3-84cb-a9b9a837799a,sarthak.chudgar@rotman.utoronto.ca,Sarthak,Chudgar,https://talenthub.vectorinstitute.ai/profiles/3133205/view_image/Headshot-9.jpg,Management Analytics student at Rotman (U of T),,4379738774,,,,https://www.linkedin.com/in/sarthakchudgar/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/18eff136-4df6-46b3-84cb-a9b9a837799a/resume,Toronto,Ontario,,Canada,,2022-11-12T17:57:47.304Z,2022-11-21T21:43:22.470Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,University of Toronto,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/sarthakchudgar/,Data science,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,,Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",University of Toronto,True,False,True,True +45367ffa-578e-4706-8a74-49b9b07ff282,mickeywang403@gmail.com,Hai Yi ,Wang ,https://talenthub.vectorinstitute.ai/profiles/1980636/view_image/Blue_Mountain_Pass_Pic.jpg,,,(403)809-7778,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/45367ffa-578e-4706-8a74-49b9b07ff282/resume,Toronto,Ontario,,Canada,,2020-09-18T02:52:44.105Z,2022-06-06T18:25:38.141Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/hai-yi-wang-a67295140/,"Computer vision, Data science, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),M.Eng - Specialization in AI,"Construction or Infrastructure, Education, Financial Services, Health, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Ryerson University,True,True,True,True +46e99f5f-9cb6-42e2-b5de-dc3af44338ff,julyan@cs.toronto.edu,Julyan,Keller-Baruch,https://talenthub.vectorinstitute.ai/profiles/2155820/view_image/julyan-removebg-preview2.jpg,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/46e99f5f-9cb6-42e2-b5de-dc3af44338ff/resume,,,,,,2020-12-10T16:43:59.355Z,2020-12-10T21:08:47.736Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Marzyeh Ghassemi,Already Graduated,,Mr.,https://www.linkedin.com/in/julyan-keller-baruch-7966a1119/,"Data science, Healthcare and/or medical imaging, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,"Health, Software, Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,,University of Toronto,True,True,True,True +6b0a2666-e2a0-45b3-8385-0c4d15a1b393,indusandar@gmail.com,indumathy,Sandrasekaran,https://talenthub.vectorinstitute.ai/profiles/2178491/view_image/1582866211729.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-01-05T01:41:36.502Z,2021-01-05T01:41:36.722Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/indumathys/,,,,,,,,,True,True,True,True +113b7ebd-50b5-4690-be11-4bdced177f14,robert.adragna1381@gmail.com,Robert,Adragna,https://talenthub.vectorinstitute.ai/profiles/1608431/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-19T18:55:49.405Z,2020-01-19T18:55:49.575Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/robert-adragna/,,,,,,,,,True,False,True,True +dc95a7e5-9eae-4ba0-8ece-ed19ba3969dd,epengc@icloud.com,Ce,Peng,https://talenthub.vectorinstitute.ai/profiles/2201681/view_image/1535344536856.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-01-22T19:14:12.478Z,2021-01-22T19:14:12.736Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/epengc/,,,,,,,,,True,True,True,True +44a5703a-891e-497d-a290-cd47de3beada,ashlycvarghese@gmail.com,Ashly Chinnu,Varghese,https://talenthub.vectorinstitute.ai/profiles/2192930/view_image/1596372922057.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-01-16T02:12:22.502Z,2021-01-16T02:12:22.659Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/ashly-chinnu-varghese-b25778123/,,,,,,,,,True,True,True,True +b1a34398-481d-4b21-8bac-91a55aaa34ee,vigneshviggs100@gmail.com,Vignesh,Patel,https://talenthub.vectorinstitute.ai/profiles/2182818/view_image/1562782535497.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-01-08T16:15:49.111Z,2021-01-08T16:15:49.520Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/vignesh-patel/,,,,,,,,,True,False,True,True +7a7f8dc8-6394-4e2c-826e-94c851c9a710,piatek10@hotmail.com,Matthew,Piatek,https://talenthub.vectorinstitute.ai/profiles/1979449/view_image/0.jpeg,Director | MBA | Strategy • Analytics • Communications | Versatile and Innovative,"Director at IHS Markit with over 10 years of progressive experience in consulting, strategy development, financial analysis and risk management. Dynamic and innovative leader well-known for operating with integrity, inspiring trust, effective collaboration and establishing alignment. Key interface with executive leadership for strategic planning, market view formulation, risk and compliance. Strategic project stewardship and superior analytical skills applied to multi-million-dollar product portfolios, assets and investments. Operating with humility and a proven aptitude in developing key insights, and analyzing business opportunities and risks with exemplary conceptual skills. Creative and systematic approach applied to structural change and process improvement. +• Leadership +• Strategic Planning +• Profitability & Asset Evaluation +• Project Management & Execution +• Financial Acumen & Modeling +• Stakeholder Relations +• Collaboration & Innovation +• Cross-Functional Team Building +• Communications +• Quantitative Analysis",403-200-9092,,,,https://www.linkedin.com/in/matthew-piatek,,True,False,,Toronto,Ontario,,Canada,linkedin,2020-09-16T20:55:59.105Z,2020-09-17T09:30:56.920Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/matthew-piatek,,Graduate Degree (Masters),Senior Level (5+ Years),"MMA, Queen's (completion Spring 2021) | MBA (with Distinction), Cornell (2019)","Financial Services, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,,Queen's University,True,True,True,True +ac451eb9-6ce9-4533-8d1f-5f4d58209254,omar-irfan@hotmail.com,Omar Irfan,Khan,https://talenthub.vectorinstitute.ai/profiles/1620910/view_image/0.jpeg,Data Scientist,Experienced data scientist with masters in computer science from University of Guelph. Passionate about analyzing various problems and tackling them with innovative solutions.,(226) 500-4697,,https://omarirfa.github.io,,http://www.linkedin.com/in/omar-irfan-khan,Oi_Khan,True,False,https://canadaai.jobboard.io/api/v1/profiles/ac451eb9-6ce9-4533-8d1f-5f4d58209254/resume,Guelph,Ontario,,Canada,linkedin,2020-01-28T14:15:14.810Z,2021-01-16T17:33:01.664Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,http://www.linkedin.com/in/omar-irfan-khan,,Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op",,University of Guelph,True,True,True,True +e5433129-4150-4cf0-b0c6-a696b9cd0e0a,ankita.rkl12@gmail.com,Ankita,Kundra,https://talenthub.vectorinstitute.ai/profiles/1603509/view_image/0.jpeg,Experienced Software Engineer with 4+ years of industry experience working with J.P. Morgan Chase & Co and Tata Consultancy Services Limited.,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e5433129-4150-4cf0-b0c6-a696b9cd0e0a/resume,Burnaby,British Columbia,,Canada,linkedin,2020-01-16T00:30:35.600Z,2020-01-21T22:53:42.813Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2021,,Ms.,https://www.linkedin.com/in/ankita-kundra-77024899/,,Graduate Degree (Masters),,"MSc in Computer Science, Big Data Specialization","Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development)",Internship,,Other,True,False,True,True +6748810e-dad6-446f-a794-fe68e67442df,resalatamin@gmail.com,Resalat,Amin,https://talenthub.vectorinstitute.ai/profiles/2644642/view_image/1576006082449.jpeg,,"To pursue a career in a competitive surrounding that will continuously challenge my current limits and +expand my knowledge in the field of computer science while allowing to add value to the dynamics of the +company. As a novice in the field of Information Technology, I strive to associate myself with an +organization where I can utilize my expertise in the best possible manner, which will further give me an +opportunity to grow in my career journey while contributing to the development of the organization. ",+16475640310,,,,https://www.linkedin.com/in/resalat-amin-20179a183/,,True,False,,Toronto,Ontario,,Canada,linkedin,2022-01-11T07:39:44.779Z,2022-01-11T07:39:45.220Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/resalat-amin-20179a183/,,Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Information Technology Security,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Other ",OntarioTech University,True,True,True,True +01a035c6-f509-499e-babd-b60da9397bc6,nijatte@gmail.com,Nijat,Gojamanov,https://talenthub.vectorinstitute.ai/profiles/2192751/view_image/2_copy.jpg,Machine Learning Engineer | Data Scientist,,6477022352,,,,https://www.linkedin.com/in/nijatgojamanov/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/01a035c6-f509-499e-babd-b60da9397bc6/resume,Toronto,Ontario,,Canada,,2021-01-15T21:13:02.985Z,2021-10-14T22:32:21.629Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,ON,Already Graduated,,Mr.,https://www.linkedin.com/in/nijatgojamanov/,,Undergraduate Degree (Bachelors),Senior Level (5+ Years),"Bachelor of Business Administration, Management and Finance","Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Architect, Machine Learning Engineer, Product/Project Manager",University of Toronto,True,True,True,True +e41da705-f25f-4ce7-a38c-dcffd4c213c0,pandyahetav1@gmail.com,Hetav ,Pandya,https://talenthub.vectorinstitute.ai/profiles/1591498/view_image/0.jpeg,Machine Learning Enthusiast,"I work with supervised and unsupervised machine learning algorithms in python 3 to solve complex real-life problems. I have also worked in game - development, data analysis, and data preprocessing. +I have worked extensively in Python 3, C and C# on various IDE's. + ",+14164024057,,,,,,True,False,,St. George,Ontario,,Canada,linkedin,2020-01-09T03:20:00.796Z,2020-01-09T03:20:01.005Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Other/Undetermined,,Mr.,https://www.linkedin.com/in/hetav-pandya/,,Undergraduate Degree (Bachelors),,Computer Engineering,"Education, Software, Technology (Information and Media), Technology (Product Development)","Internship, Co-op, Contract, Capstone Project",,University of Toronto,True,True,True,True +4204f432-713b-4f21-ac4f-a04d646ce1f3,sehaj13chauhan@hotmail.com,Sehaj,Chauhan,https://talenthub.vectorinstitute.ai/profiles/1601781/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-15T00:22:26.985Z,2020-01-15T00:22:27.288Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/13sehaj/,,,,,,,,,True,True,True,True +3238c1de-601e-4bb2-a819-aad356c043e5,helena.xinming.ye@gmail.com,Helena(Xinming),Ye,https://talenthub.vectorinstitute.ai/profiles/2115516/view_image/0.jpeg,Master of Science in Applied Computing student at University of Toronto,,,,,,https://www.linkedin.com/in/helena-xinming-ye/,,True,False,,Toronto,Ontario,,Canada,linkedin,2020-10-28T17:35:35.776Z,2020-10-28T17:35:36.353Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/helena-xinming-ye/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Science in Applied Computing,Software,"Full Time, Internship, Co-op",,University of Toronto,True,True,True,True +b708f33f-52b5-413c-9249-386e1f85c53f,malikaibragim@gmail.com,Malika,Ibragimova,https://talenthub.vectorinstitute.ai/profiles/1610547/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-21T02:59:03.344Z,2020-01-21T02:59:03.631Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/malikaibragim/,,,,,,,,,True,False,True,True +7883ca6b-5288-425e-a0e3-9530ede9c2ef,just6660@gmail.com,Justin,Chow,https://talenthub.vectorinstitute.ai/profiles/2658768/view_image/1640987096975.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-01-22T01:56:17.178Z,2022-01-22T01:56:17.660Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/justin-chow-114659199/,,,,,,,,,True,True,True,True +68299458-c531-440b-a2b6-1297e657d2ad,tayehtareq@gmail.com,Tareq,Tayeh,https://talenthub.vectorinstitute.ai/profiles/1550632/view_image/0.jpeg,MESc Candidate in Software Engineering at Western University,"Tareq Tayeh received the B.E.Sc degree in Software Engineering from Western University, London, +Canada, in 2018. He is currently pursuing the M.E.Sc degree in Software Engineering, with the +Vector Institute Accredited collaborative specialization in Artificial Intelligence, with the Department +of Electrical and Computer Engineering, Western University, London, Canada. He worked for IBM, +Markham, Canada as a QA student intern between May 2016 and August 2017, and as a full-time DevOps Developer between May 2018 and September 2019. His current research interests are in the areas of machine learning, automated AI, data analysis, and cloud computing.",5195209202,,,,https://www.linkedin.com/in/tareqtayeh/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/68299458-c531-440b-a2b6-1297e657d2ad/resume,London,Ontario,,Canada,linkedin,2019-12-03T16:00:48.303Z,2020-09-23T16:42:26.947Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/tareqtayeh/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Masters in Engineering Science: Software Engineering,"Health, Professional Services (e.g Consulting), Software, Technology (Information and Media)",Full Time,,Western University,True,True,True,True +0adddc43-d5e2-468e-bbc7-49da93a04ee0,19dmd6@queensu.ca,Dhanya,Dave,https://talenthub.vectorinstitute.ai/profiles/1980289/view_image/slack.PNG,Systems Designer | AI Enthusiast,"A passionate and self-driven individual possessing extensive experience in the field of consulting engineering specializing in manufacturing systems design, software development, and industrial automation. Currently pursuing post-graduate education within the field of Artificial Intelligence. Seeking an internship or full-time position upon graduation from MMAI, where I can leverage my vast software development expertise and utilize my practical academic knowledge related to Data Science and AI",6474584384,,,,https://www.linkedin.com/in/dhanyadave/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0adddc43-d5e2-468e-bbc7-49da93a04ee0/resume,Toronto,Ontario,,Canada,,2020-09-17T16:54:29.058Z,2020-09-29T04:09:32.688Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/dhanyadave/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management in Artificial Intelligence,"Construction or Infrastructure, Health, Manufacturing , Software, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project",,Queen's University,True,True,True,True +b4118815-f32d-40e7-ad1d-db08c1155bec,sriamirthan@gmail.com,Sri-Amirthan,Theivendran,https://talenthub.vectorinstitute.ai/profiles/1952159/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-08-25T22:45:48.285Z,2020-08-25T22:45:48.547Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/sri-amirthan-theivendran-5b1a2a18b/,,,,,,,,,True,True,True,True +f1b957d4-a957-4a01-b648-657d010ca154,gareth.zhang@robotics.utias.utoronto.ca,Haowei,Zhang,https://talenthub.vectorinstitute.ai/profiles/1956492/view_image/profile.jpeg,Future graduate,Actively looking for full-time engineering positions in robotics,6478879634,,,,https://www.linkedin.com/in/haowei-zhang-uoft/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f1b957d4-a957-4a01-b648-657d010ca154/resume,Toronto,Ontario,,Canada,,2020-08-28T15:00:53.552Z,2020-09-11T19:41:57.225Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Timothy Barfoot,Winter 2021,,Mr.,https://www.linkedin.com/in/haowei-zhang-uoft/,,Graduate Degree (Masters),Entry Level (0-2 Years),Engineering in Robotics,"Health, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship",,University of Toronto,True,True,True,True +ed1aa82c-72ce-4b7e-b469-9c8c09b604a6,jinning.lyu@gmail.com,Jinning,Lyu,https://talenthub.vectorinstitute.ai/profiles/1966771/view_image/9EA40140-2C9E-455E-A894-82EBCDC748B8.jpeg,MDSAI Student at UWaterloo,,7806193069,,,,https://www.linkedin.com/in/jinninglyu/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ed1aa82c-72ce-4b7e-b469-9c8c09b604a6/resume,Waterloo,Ontario,,Canada,,2020-09-04T14:57:48.403Z,2021-09-10T18:14:25.389Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,http://linkedin.com/in/jinning-lyu-1475aa186,"Deep learning, Natural language processing, Reinforcement learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Science and Artificial Intelligence,Type of Work is More Important to me than Sector,Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Waterloo,True,True,True,True +4aac424f-6c10-437b-ba91-d62423aca095,a.kolekar@queensu.ca,Anuj Ashok,Kolekar,https://talenthub.vectorinstitute.ai/profiles/1965888/view_image/Kolekar__Anuj__20226315.JPG,Analytics & Data Intelligence | Product Planning & Supply Chain SME ,,4377754326,,,,https://www.linkedin.com/in/kolekaranuj/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4aac424f-6c10-437b-ba91-d62423aca095/resume,Toronto,Ontario,,Canada,,2020-09-03T22:49:12.377Z,2020-09-03T23:29:33.476Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/kolekaranuj/,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Management Analytics,"Financial Services, Professional Services (e.g Consulting), Retail, Technology (Product Development)","Full Time, Internship, Co-op, Contract",,Queen's University,True,True,True,True +1c91f1c7-4c07-4a83-9ad7-adb5d176ec45,amirul507@gmail.com,Md Amirul,Islam,https://talenthub.vectorinstitute.ai/profiles/2160174/view_image/amirul.png,,,4169368958,,https://www.cs.ryerson.ca/~amirul/,,https://www.linkedin.com/in/mamirulislam/,amirul0507,True,False,https://canadaai.jobboard.io/api/v1/profiles/1c91f1c7-4c07-4a83-9ad7-adb5d176ec45/resume,Toronto,Ontario,,Canada,,2020-12-15T20:23:01.167Z,2020-12-15T20:23:01.217Z,False,False,Connected to Vector Research,Yes,Post Graduate Affiliate,Neil Bruce & Kosta Derpanis,Already Graduated,,Mr.,https://www.linkedin.com/in/mamirulislam/,"Computer vision, Deep learning, Fairness, Interpretability, Meta-learning, Representation learning, Self-supervised learning, Transfer learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),PhD in Computer Science,"Education, Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,Machine Learning Researcher/Scientist ,Ryerson University,True,True,True,True +426dded9-5228-4079-b398-abce2456600b,ernie2506@hotmail.com,Ernie,Hsieh,https://talenthub.vectorinstitute.ai/profiles/2564414/view_image/1560959790041.jpeg,,,4168261410,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/426dded9-5228-4079-b398-abce2456600b/resume,,,,,linkedin,2021-10-28T20:09:55.618Z,2021-10-29T19:16:33.005Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ONTARIO,Already Graduated,,Mr.,https://www.linkedin.com/in/ernie-hsieh/?miniProfileUrn=urn%3Ali%3Afs_miniProfile%3AACoAACHtUxUBTGdQqmH7lREgrbsT4lL_qXCWL7s,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Managements Analytics,"Financial Services, Professional Services (e.g Consulting)",Full Time,"Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,False,True,True +683b9fb7-0669-4f66-8835-f6340d1f1926,brianchen.czq@gmail.com,Brian,Chen,https://talenthub.vectorinstitute.ai/profiles/2515910/view_image/1622166097413.jpeg,,,,,,,https://www.linkedin.com/in/thehbc/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/683b9fb7-0669-4f66-8835-f6340d1f1926/resume,,,,,linkedin,2021-09-19T19:13:37.931Z,2021-09-20T15:39:46.627Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Dr. Parvin Mousavi,Already Graduated,,Mr.,https://www.linkedin.com/in/thehbc/,,Graduate Degree (Masters),Entry Level (0-2 Years),"MSc. Computing, Field of Study in Artificial Intelligence","Health, Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,False,True,True +22581b97-1370-4e3d-9dbb-91c1d6be4343,gordoj7@mcmaster.ca,Jacob,Gordon,https://talenthub.vectorinstitute.ai/profiles/2254934/view_image/1600734237034.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-03-04T01:05:50.764Z,2021-03-04T01:05:50.965Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/jgordonzarankin/,,,,,,,,,True,True,True,True +303c808c-7019-4153-86bd-143ed9ed719e,suxuanliu07@gmail.com,Suxuan(Jessica),Liu,https://talenthub.vectorinstitute.ai/profiles/2376738/view_image/1619719652435.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-05-28T23:36:20.870Z,2021-05-28T23:36:21.170Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/suxuan-jessica-liu-8717ba119/,,,,,,,,,True,True,True,True +95df875a-2bd5-4330-963e-3f0649f3ab21,mehdi.tayebiarasteh@georgebrown.ca,Mehdi,Tayebi Arasteh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,True,,,,,,linkedin,2021-03-21T01:17:16.375Z,2021-03-21T01:17:16.626Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/mehdi-tayebi-arasteh/,,,,,,,,,True,True,True,True +96eaf169-8873-4dc1-aca2-7bedc7d4d2f0,jordan.lanctot@ryerson.ca,Jordan,Lanctot,https://talenthub.vectorinstitute.ai/profiles/2650618/view_image/headshot-01.jpg,Complex System Analyst,"As a 4th-year student in Ryerson’s Medical Physics program, I have always been interested in the potential of physics to tackle interdisciplinary problems. Armed with a curious nature and participation in a wide range of experiences, I love to test myself with complex and ever evolving problems. This pursuit has led me accepting and offer to a Masters of Physics in Complex Systems this upcoming fall semester. +Over the past number of years, I worked as a software developer and as an undergraduate researcher and completed a college degree in audio engineering. My research has included studying “superspreader events” in the COVID-19 crisis, studying the universality of prediction markets, studying the impacts of youth programming on developmental outcomes, and researching how concealing network information from deep learning agents to reduce their ability to learn network weaknesses. These research experiences resulted in: interdisciplinary papers, receiving NSERC funding, and increasing my knowledge in the domains of information theory and machine learning. +This theme of expanding my skills through new experiences was a huge motivator in recording, mixing and mastering Sydanie’s “999,” which was long-listed for the Polaris Prize, recognizing excellence in Canadian music. Supporting Sydanie in relaying her empowering messages of young, black motherhood on this thesis of resistance was deeply rewarding. +All future experiences would be welcomed, so feel free to reach out and we can explore options over a cup of coffee. +",7057616556,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/96eaf169-8873-4dc1-aca2-7bedc7d4d2f0/resume,Toronto,Ontario,,Canada,,2022-01-15T19:39:48.997Z,2022-01-25T23:15:16.104Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,N/A,"Adversarial learning, AI safety, Data science, Deep learning, Law, ethics and policy, Machine learning, Physics, Reinforcement learning, Self-supervised learning, Statistical learning theory",Undergraduate Degree (Bachelors),Senior Level (5+ Years),4th,"Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Contract","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Ryerson University,True,False,True,True +79e33471-64c8-4d72-9d69-e2046bd67e9f,wijeratne.brian@gmail.com,Brian,Wijeratne,https://talenthub.vectorinstitute.ai/profiles/2515993/view_image/brian_wij.jpg,Graduate Student,"I have an academic background in machine learning, deep learning and computer vision. I have strong problem-solving skills and work well in a team-based environment. Currently earning my MASc in Electrical and Computer Engineering at York University, on an average day I am developing my research via Python. I am capable of working in a variety of languages and would enjoy the opportunity to deploy my skills to improve AI solutions.",6472243555,,,,https://www.linkedin.com/in/brianwijeratne/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/79e33471-64c8-4d72-9d69-e2046bd67e9f/resume,Mississauga,Ontario,,Canada,,2021-09-19T20:18:08.495Z,2021-09-23T11:12:18.334Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://ca.linkedin.com/in/brianwijeratne,"Anomaly detection, Computer vision, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Applied Science in Computer Engineering,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Scientist, Machine Learning Engineer, Software Engineer",York University,True,True,True,True +48f45088-f751-4b75-a005-83a89b186c90,danielwengca@gmail.com,Daniel,Weng,https://talenthub.vectorinstitute.ai/profiles/1570212/view_image/0.jpeg,Data Scientist at Shopify,,4166552612,,,,https://www.linkedin.com/in/danielgweng,,True,False,https://canadaai.jobboard.io/api/v1/profiles/48f45088-f751-4b75-a005-83a89b186c90/resume,Toronto,Ontario,,Canada,linkedin,2019-12-19T21:10:51.886Z,2019-12-19T21:10:52.123Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Nicolas Papernot,Already Graduated,,Mr.,https://www.linkedin.com/in/danielgweng,"Data science, Machine learning, Time-series forecasting and modelling",Graduate Degree (Masters),Senior Level (5+ Years),Computer Engineering,"Financial Services, Health, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Architect, Data Scientist, Machine Learning Engineer, Software Engineer",University of Toronto,True,True,True,True +0099681d-0e94-425b-a59c-061e6afce43c,sabrina.sun@rotman.utoronto.ca,Yuqin (Sabrina),Sun,https://talenthub.vectorinstitute.ai/profiles/2483666/view_image/87962036_2478557235698749_9017934735950741504_o.jpg,,,6478583376,,,,https://www.linkedin.com/in/yuqin-sabrina-sun-3b4226131,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0099681d-0e94-425b-a59c-061e6afce43c/resume,,,,,,2021-08-26T11:25:53.293Z,2021-08-26T11:25:53.319Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Master of Management Analytics,Already Graduated,,Miss.,https://www.linkedin.com/in/yuqin-sabrina-sun-3b4226131,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Industrial Engineering,"Financial Services, Professional Services (e.g Consulting), Retail, Technology (Product Development)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Product/Project Manager",University of Toronto,True,True,True,True +ef26788e-02f4-4369-82af-f1c71057c685,yejuntu1202@gmail.com,Yejun,Tu,https://talenthub.vectorinstitute.ai/profiles/1932087/view_image/businessportrait2.jpg,,,(+86) 15167117905,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ef26788e-02f4-4369-82af-f1c71057c685/resume,Toronto,Ontario,,Canada,,2020-08-13T19:07:37.370Z,2020-08-14T05:52:23.876Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,linkedin.com/in/yejun-tu-453b7414b,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,"Financial Services, Professional Services (e.g Consulting), Type of Work is More Important to me than Sector",Full Time,,University of Toronto,True,False,True,True +eecc186e-e4cd-4139-bcc9-497610fcf7b4,austinyiming.chen@mail.utoronto.ca,Austin,Chen,https://talenthub.vectorinstitute.ai/profiles/1974139/view_image/0.jpeg,Experienced in Data Science / Machine Learning / Communication,"Austin is a Master of Information Engineering graduate at the University of Toronto, focusing on the study of Data Analytics. He has been interning as a Data Scientist and a machine learning engineer during his bachelor and master studies. Austin has been fascinated by his work experiences and master's courses where he could explore projects of applications on Artificial Intelligence with data such as Predictive Modelling, Recommender Systems, and Natural Language Processing. These experiences strengthened his skills and allowed him to leverage them to perform a variety of analyses on different problems successfully. ",4168355278,,,,https://www.linkedin.com/in/austinchencym/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/eecc186e-e4cd-4139-bcc9-497610fcf7b4/resume,Toronto,Ontario,,Canada,linkedin,2020-09-11T14:54:53.233Z,2020-09-29T04:00:57.021Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/austinchencym/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Information Engineering,"Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Contract",,University of Toronto,True,True,True,True +eb715c0e-e74b-49cb-aa3a-5d8094daaf8f,simonchamorrod@gmail.com,Simon ,Chamorro,https://talenthub.vectorinstitute.ai/profiles/2767912/view_image/Simon_Chamorro_00801_HRs.jpg,Msc Student in ML and Robotics,"Passionate about robotics and artificial intelligence, I have a bachelor's degree in robotics engineering and I am currently a master's student at Polytechnique Montreal and Mila.",5149984196,,,,https://www.linkedin.com/in/simon-chamorro/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/eb715c0e-e74b-49cb-aa3a-5d8094daaf8f/resume,Montreal,Quebec,,Canada,,2022-04-13T23:36:37.426Z,2022-04-13T23:36:37.466Z,False,False,Connected to Another AI Institute,Yes,Studying in/Graduated from a Recognized Master's Program,QC,Winter 2023 (December 2022 - March 2023),Student at Mila,Mr.,https://www.linkedin.com/in/simon-chamorro/,,Graduate Degree (Masters),Entry Level (0-2 Years),Msc in Machine Learning and Robotics,"Software, Technology (Information and Media)","Full Time, Internship","Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer, Other ",Other,True,False,True,True +35d58ba4-6ec5-4d62-a03f-8d2087d3faa2,t.alam.eddine@rotman.utoronto.ca,Talal,Alam-Eddine,https://talenthub.vectorinstitute.ai/profiles/2805820/view_image/DBX_Small.jpg,,"I am currently a Master of Finance student at the University of Toronto. Previously, I worked in the areas of risk management, technology, and project delivery at a number of financial institutions. Some of the topics that interest me include banking, capital markets, ML/AI, FinTech, and blockchain/crypto. +",,,,,https://www.linkedin.com/in/t-alam-eddine,,True,False,,Toronto,Ontario,,Canada,,2022-05-11T02:31:16.648Z,2022-05-11T02:31:16.679Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/t-alam-eddine/,"Machine learning, Time-series forecasting and modelling, Unsupervised learning",Graduate Degree (Masters),Senior Level (5+ Years),Finance,"Financial Services, Professional Services (e.g Consulting), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Product/Project Manager",University of Toronto,True,True,True,True +f7071dbc-a7de-4530-97ed-3bddbcc08098,singh.hemantkumar@outlook.com,Hemant,Singh,https://talenthub.vectorinstitute.ai/profiles/2554586/view_image/1633726013400.jpeg,,f,9029894613,,,,,,True,False,,Toronto,Ontario,,Canada,linkedin,2021-10-20T20:13:11.725Z,2021-10-20T20:13:12.016Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,N/A,"Bioinformatics, Computer vision, Deep learning, Generative modeling, Healthcare and/or medical imaging, Machine learning, Neuroscience, Quantum computing, Reinforcement learning, Self-supervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Applied Computer Science,"Education, Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Transportation, Type of Work is More Important to me than Sector",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,True,True,True +d33eed98-157d-497d-9bec-a1471b455fda,21fzz@queensu.ca,melissa,zheng,https://talenthub.vectorinstitute.ai/profiles/2624552/view_image/Headshot.jpg,,,,,,,https://www.linkedin.com/in/melissa-zheng-2021/,,True,False,,,,,,,2021-12-22T19:56:11.845Z,2022-05-12T19:49:20.363Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/melissa-zheng-2021/,"Data science, Machine learning, Online learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management in Artificial Intelligence,"Education, Financial Services, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer",Queen's University,True,True,True,True +6005223e-a5bf-46ea-b20e-efe1d28acccb,k.balar.401@gmail.com,Krusna,Balar,https://talenthub.vectorinstitute.ai/profiles/2751416/view_image/1597867714633.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-04-01T21:03:41.813Z,2022-04-01T21:03:42.251Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/krusnabalar/,,,,,,,,,True,False,True,True +06d6a006-fed2-4e95-b692-1002d68916ff,kevqyzhu@gmail.com,Kevin,Zhu,https://talenthub.vectorinstitute.ai/profiles/2549999/view_image/1570661236340.jpeg,,,,,https://github.com/kevqyzhu,,https://www.linkedin.com/in/kevin-qy-zhu/,,True,False,,,,,,linkedin,2021-10-17T14:35:06.308Z,2021-10-17T14:35:06.482Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Alán Aspuru-Guzik,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/kevin-qy-zhu/,"Bioinformatics, Computational biology, Generative modeling",College Diploma,Entry Level (0-2 Years),Bioinformatics and Computer Science,,"Full Time, Internship, Co-op","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True +37c9dd5b-6427-42e5-8ba0-d5ec8bc50559,bpeacheyhigdon@gmail.com,Ben,Peachey Higdon,https://talenthub.vectorinstitute.ai/profiles/1550690/view_image/0.jpeg,,,6476887951,,,,https://www.linkedin.com/in/ben-ph/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/37c9dd5b-6427-42e5-8ba0-d5ec8bc50559/resume,,,,,linkedin,2019-12-03T16:32:03.708Z,2019-12-03T16:32:04.057Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/ben-ph/,,,,Data Science & Analytics,,Full Time,,Ryerson University,True,False,True,True +cae241d5-54d5-4e4e-aa55-d1ebab9912ad,syedaayan.nadeem@queensu.ca,Syed Aayan,Nadeem,https://talenthub.vectorinstitute.ai/profiles/1932149/view_image/My_Pic.jpg,Looking for an entry level role in Data Analytics,,,,https://public.tableau.com/profile/aayan.nadeem#!/,,https://www.linkedin.com/in/syed-aayan-nadeem-aa7348117/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/cae241d5-54d5-4e4e-aa55-d1ebab9912ad/resume,Toronto,Ontario,,Canada,,2020-08-13T19:40:12.651Z,2021-03-06T02:13:09.228Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/syed-aayan-nadeem-aa7348117/,"Data science, Machine learning, Natural language processing, Optimization, Recommender systems, Reinforcement learning, Self-supervised learning, Time-series forecasting and modelling, Unsupervised learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Masters Management Analytics (MMA),"Financial Services, Professional Services (e.g Consulting), Retail, Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Contract",,Queen's University,True,True,True,True +a84e6a01-5d5b-449a-91e7-a173a1edb872,abhi9520@gmail.com,Abhinav,Arora,https://talenthub.vectorinstitute.ai/profiles/1549673/view_image/0.jpeg,Seasoned IT Professional,"A seasoned professional with more than 6 years experience in the IT Industry. +My role includes collaboration with business analysts to design, develop and implement various business intelligence and data warehousing applications/solutions. I have acquired proficiency in several Business Intelligence tools as well as hands on expertise in managing key data requirements related to the data used in business, regulatory reporting and analysis. +To further enhance my analytical skill set and knowledge, I have completed Master's in Management Analytics program from Queen's Smith School of Business, one of the top B-Schools in Canada. +Specialties: +- Expertise with Tableau, IBM Cognos BI, R, Python, SAS. +- Expertise in Data Exploration, Advanced Analytics and Regression techniques, Machine Learning, Inferential Statistics. +- Consulting +- Client Relationship Management +- Implementation of business intelligence and data warehousing applications/solutions. +For opportunities, I can be reached at: abhi9520@gmail.com ",4379830990,,,,https://www.linkedin.com/in/abhi9520/,,True,False,,Toronto,Ontario,,Canada,linkedin,2019-12-03T02:01:49.134Z,2019-12-03T02:01:49.660Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/abhi9520/,,,,Master of Management Analytics,"Financial Services, Retail, Telecommunications","Full Time, Contract",,Queen's University,True,True,True,True +2f100428-9ac2-49ee-8ffc-853bd736a9f5,c.dambrosio@mail.utoronto.ca,Christina,D'Ambrosio,https://talenthub.vectorinstitute.ai/profiles/1932193/view_image/WIN_20200602_08_52_18_Pro__3_.jpg,"Research Methods Specialist at CAMH | MA, EMHI Candidate","Hi, my name is Christina D’Ambrosio. I have a background in clinical psychology, where I leveraged technical platforms to facilitate research and clinical tasks. I currently work with geriatrics populations who comparatively have unique barriers to care access, can be less comfortable using technical platforms, and may receive inadequate care due to lack of supports and inaccurate symptom reporting with the onset of neurocognitive disorders. I want to use health informatics to improve the documentation of symptoms through real-time technologies, help build systems that coordinate routine testing and monitoring of cognitive and functional decline, and facilitate communication of health data amongst different medical providers this population interacts with. Presently, I am pursuing a Master's degree in Health Informatics at the University of Toronto. ",,,,,https://www.linkedin.com/in/cadambrosio/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2f100428-9ac2-49ee-8ffc-853bd736a9f5/resume,Toronto,Ontario,,Canada,,2020-08-13T19:40:46.672Z,2020-09-14T02:27:57.173Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/cadambrosio/,,Graduate Degree (Masters),Senior Level (5+ Years),"Master in Health Informatics, Executive Stream","Health, Technology (Product Development)","Full Time, Internship, Contract, Capstone Project",,University of Toronto,True,True,True,True +a92c8971-194f-4b25-ae95-b6eb24665782,b.askari.f@gmail.com,Bahare,Askari,https://talenthub.vectorinstitute.ai/profiles/1932210/view_image/Bahare_Askari-removebg-preview.png,,My master thesis lies at the intersection of the recommendation system and data science. I worked on improving the accuracy of neural-network-based recommender systems. ,9058095097,,,,https://linkedin.com/in/bahare-askari-51b724aa,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a92c8971-194f-4b25-ae95-b6eb24665782/resume,Toronto,Ontario,,Canada,,2020-08-13T19:40:57.795Z,2021-03-16T05:12:24.686Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,linkedin.com/in/bahare-askari-51b724aa,,Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship",,OntarioTech University,True,True,True,True +c260e045-1126-4f7b-a0e1-bd098e692efe,wyl11wyl@gmail.com,William,Wei,https://talenthub.vectorinstitute.ai/profiles/1550612/view_image/0.jpeg,FinTech Industry Practitioner | Data Science Professionals | PE/VC Investment Specialist | Master of Business Analytics,"Data science professional with hands-on experience in machine learning and artificial intelligence projects using big data analytical tools. +PE/VC Investment Specialist with extensive working experience of financial reporting, financial modelling, valuation, and due diligence. +Strive to leverage machine learning, data science, and data visualization in solving business problems. +A team player. A lifelong learner. ",4168310218,,,,https://www.linkedin.com/in/william-wei-cpa-cfa/,,True,False,,Toronto,Ontario,,Canada,linkedin,2019-12-03T15:48:57.625Z,2019-12-03T15:48:57.931Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/william-wei-cpa-cfa/,,,,Master of Business Analytics - Schulich School of Business,Financial Services,Full Time,,York University,True,True,True,True +2c0500ee-e7ad-4c6d-a33c-ce88e74b457f,ninwan@umich.edu,Ning,Wang,https://talenthub.vectorinstitute.ai/profiles/2547856/view_image/1609962559520.jpeg,,,,,,,https://www.linkedin.com/in/LinkedIn,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2c0500ee-e7ad-4c6d-a33c-ce88e74b457f/resume,,,,,linkedin,2021-10-15T12:44:57.030Z,2021-10-15T12:44:57.224Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,Not a member in Vector Institute,Miss.,N/A,,Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science/ Mechanical Engineering,"Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Engineer, Data Scientist",Other,True,True,True,True +bd183937-c560-4ca5-869e-dcd1e992de5c,qdzhuziqing@163.com,Ziqing (Stella),Zhu,https://talenthub.vectorinstitute.ai/profiles/2383038/view_image/1620864045590.jpeg,,,2365134241,,,,https://www.linkedin.com/in/stellazhu31/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/bd183937-c560-4ca5-869e-dcd1e992de5c/resume,Vancouver,British Columbia,,Canada,linkedin,2021-06-02T23:43:00.161Z,2021-06-02T23:43:00.343Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Miss.,https://www.linkedin.com/in/stellazhu31/,"Data science, Deep learning, Machine learning, Natural language processing, Optimization, Statistical learning theory, Time-series forecasting and modelling, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,,"Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist",University of Toronto,True,True,True,True +33c229e0-a6b2-4dda-9387-537d4a32ac28,zoe.chenzizhao@gmail.com,Zizhao,Chen,https://talenthub.vectorinstitute.ai/profiles/2514147/view_image/1542947515103.jpeg,,,,,https://github.com/chenzizhao,,https://www.linkedin.com/in/chenzizhao/,ch272h,True,False,,,,,,linkedin,2021-09-18T01:35:59.373Z,2021-09-18T01:35:59.640Z,False,False,Connected to Vector Research,No,Student or Postdoc of a Vector Faculty Member,David Duvenaud,Already Graduated,,Miss.,https://www.linkedin.com/in/chenzizhao/,"Optimization, Robotics",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Engineering Science (Robotics),"Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True +9f4356ce-12f6-425c-ac38-4cc616fe598c,amir.hossini@queensu.ca,Amir,Hossini,https://talenthub.vectorinstitute.ai/profiles/1932209/view_image/IMG_7039_cropped_edited2.jpg,Data Scientist,"I am a highly motivated Data Scientist and Forecasting Engineer with passion and expertise in framing, simplifying, solving, and communicating complex business and engineering problems. I have about 10 years of multidisciplinary research and industrial experience in analytical problem solving for the energy industry in both technical and leadership roles. In my current role, I am contributing to many projects ranging from Time-Series Forecasting to Artificial Intelligence Solution Development to improve business performance. +I am eagerly looking for technical or technical leadership opportunities in developing exciting ML & AI solutions in the business, engineering, technology, and health sectors. +My academic background includes a Masters in Management Analytics (Queen’s University, Canada - in progress), a Ph.D. in Geo-statistics & Uncertainty Characterization (University of Alberta, Canada), an MSc in Geotechnical Engineering (University of Tehran, Iran) and a BSc in Civil Engineering (Sharif University of Technology, Iran). +",14038260359,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9f4356ce-12f6-425c-ac38-4cc616fe598c/resume,,,,,,2020-08-13T19:40:57.704Z,2020-09-24T20:13:57.675Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,AB,Already Graduated,,Mr.,https://www.linkedin.com/in/amir-hossini-04086a53/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Global Master of Management Analytics,Type of Work is More Important to me than Sector,Full Time,,Queen's University,True,True,True,True +fc01efde-4390-45e6-af03-4b77de25b5fa,chao10@ualberta.ca,Carol,Wang,https://talenthub.vectorinstitute.ai/profiles/1932071/view_image/IMG_5139.JPG,Data Science | Machine Learning Engineer | Technology Innovator | Sustainable Energy Facilitator,"# Master of Analytics 2021 Candidate with University of Toronto +# Engineering, Geospatial Science, Data Science professional with 3 years of industrial experiences as an Optimization and Simulation Engineer, and Technology Development Engineer +# Proven publication record of Statistical Machine Learning Techniques to Predict Operating Risk in top tier scientific journal",780-7079078,,,,https://www.linkedin.com/in/carolwang6688,,True,False,https://canadaai.jobboard.io/api/v1/profiles/fc01efde-4390-45e6-af03-4b77de25b5fa/resume,Toronto,Ontario,,Canada,,2020-08-13T19:00:01.638Z,2020-09-19T05:32:12.604Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,University of Toronto,Already Graduated,,Ms.,www.linkedin.com/in/carolwang6688,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management Analytics,"Education, Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Contract, Capstone Project",,University of Toronto,True,True,True,True +cc9824ba-4193-4160-b5fb-bd70e80a18e4,hojin.yang7@gmail.com,Hojin,Yang,https://talenthub.vectorinstitute.ai/profiles/1550630/view_image/0.jpeg,Graduate Research Assistant,,4372349657,,,,,,True,False,,Toronto,Ontario,,Canada,linkedin,2019-12-03T15:59:13.974Z,2020-01-06T01:07:59.828Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,Scott Sanner,,,Mr.,https://www.linkedin.com/in/hojin-yang-824b57158/,,,,Masters of Applied Science,,Internship,,University of Toronto,True,True,True,True +eac82519-74eb-4942-8487-4099a87465e9,kooshkba@ualberta.ca,Marzieh,Kooshkbaghi,https://talenthub.vectorinstitute.ai/profiles/1927517/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-08-11T17:50:34.614Z,2020-08-12T17:27:16.797Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/marzieh-kooshkbaghi/,,,,,,,,,True,False,True,True +70eed70a-aae0-47eb-9a31-9d417e38ad8e,leviburns16@gmail.com,Levi,Burns,https://talenthub.vectorinstitute.ai/profiles/1553070/view_image/0.jpeg,Data Scientist; Technical Manager,"Through my experience working in physics research labs, hospitals, and consulting, I have harnessed data science to innovate across multiple industries. I have several publications from my work in CT/MRI imaging and radiation therapy, and more recently, I have worked with teams to inform the direction of legal proceedings, implement natural language processing engines, and automate the calculation of federal wage subsidies in light of COVID-19. +At the heart of my work is my continued passion for education. During my undergrad I took several teacher's college courses, and in grad school, I was responsible for over 700 physics students as well as a dozen TAs in a leadership capacity. Working with a start-up, I produced over 350 exam prep videos reaching thousands of students across Canada. In consulting, my background in education supports my ability to communicate technical findings to a range of audiences and to manage high-performing engagement teams. ",7788374239,,,,https://www.linkedin.com/in/leviburns/,_LeviBurns,True,False,,Toronto,Ontario,,Canada,linkedin,2019-12-05T02:26:30.551Z,2020-03-04T14:20:25.162Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/leviburns/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Physics; Management,"Education, Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,,Queen's University,True,True,True,True +238a2440-71f5-49c2-ab96-10b36bb32a5f,yiping.wang@gmx.com,Yiping,Wang,https://talenthub.vectorinstitute.ai/profiles/2355396/view_image/Yiping.jpeg,2508852950,,2508852950,,https://yipingwang.ca,,https://www.linkedin.com/in/yiping-wang/,,True,False,,Waterloo,Ontario,,Canada,,2021-05-12T20:12:13.075Z,2021-06-30T19:38:55.162Z,False,False,Connected to Vector Research,Yes,Vector Scholarship Recipient,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/yiping-wang/,"Computational biology, Computer vision, Data science, Deep learning, Few-shot learning, Healthcare and/or medical imaging, Machine learning, Meta-learning, Natural language processing, Online learning, Optimization, Recommender systems, Reinforcement learning, Representation learning, Self-supervised learning, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Mathematics in Computer Science,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Waterloo,True,True,True,True +d07acbfb-63c0-4ccf-aea0-e6242fc7aae3,chiragarorace@gmail.com,Chirag,Arora,https://talenthub.vectorinstitute.ai/profiles/2595189/view_image/1587921794532.jpeg,Research Assistant at Seneca College," I am a goal-oriented and hardworking student striving towards obtaining a Data Scientist Internship for summer 2022 where I can exhibit my strong skill set in areas of Data Science. + I have participated in the HackChennai Hackathon and Seneca Digital Health Hackathon, where I developed a PCOS severity predictor and analyzed data about symptoms and effects of rare diseases amongst various age groups respectively.",6479178158,,http://material-matters.ca,,https://www.linkedin.com/in/chirag-arora-04846a198/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d07acbfb-63c0-4ccf-aea0-e6242fc7aae3/resume,Toronto,Ontario,,Canada,linkedin,2021-11-25T01:22:42.721Z,2021-11-25T01:22:43.177Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/chirag-arora-04846a198/,"Data science, Machine learning, Natural language processing",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Data Science and Analytics,"Education, Financial Services, Health, Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Internship, Co-op, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,False,True,True +f1964d50-d70c-4c4a-acce-8432ed675c6d,shchou75@gmail.com,Shih-Han,Chou,https://talenthub.vectorinstitute.ai/profiles/2550723/view_image/1517628304575.jpeg,,,2065913859,,https://shihhanchou.github.io/,,https://www.linkedin.com/in/shih-han-chou-63b7a3119/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f1964d50-d70c-4c4a-acce-8432ed675c6d/resume,,,,,linkedin,2021-10-18T06:38:28.068Z,2021-10-18T06:38:28.306Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Leonid Sigal,Other/Undetermined,,Ms.,https://www.linkedin.com/in/shih-han-chou-63b7a3119/,"Computer vision, Natural language processing, Self-supervised learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science,"Financial Services, Software, Technology (Information and Media), Technology (Product Development)",Internship,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True d1f12506-16b7-439b-bf60-66d8089240b4,me@georgelifchits.ca,George,Lifchits,https://talenthub.vectorinstitute.ai/profiles/1550726/view_image/0.jpeg,PhD student in Computational Social Science,,226-750-0505,,https://georgelifchits.ca/,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d1f12506-16b7-439b-bf60-66d8089240b4/resume,Toronto,Ontario,,Canada,linkedin,2019-12-03T16:45:06.257Z,2020-01-21T01:18:25.324Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ashton Anderson,Other/Undetermined,,Mr.,https://www.linkedin.com/in/georgelifchits/,,Graduate Degree (Masters),,PhD in Computer Science,Type of Work is More Important to me than Sector,Internship,,University of Toronto,True,False,True,True b5ee876f-4833-482a-8bb0-6571a03b20ce,sikrigaurav789@gmail.com,Gaurav,Sikri,https://talenthub.vectorinstitute.ai/profiles/1554359/view_image/0.jpeg,,,+16479998099,,,,,,True,False,,Waterloo,Ontario,,Canada,linkedin,2019-12-06T00:13:05.536Z,2019-12-06T00:13:05.704Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/gauravsikri/,,,,DataScience and Artificial Intelligence,"Financial Services, Telecommunications","Full Time, Co-op",,University of Waterloo,True,True,True,True 9803a01a-b3c0-4010-bad2-8a1b382b0134,joonho@dgp.toronto.edu,Joonho,Kim,https://talenthub.vectorinstitute.ai/profiles/2554437/view_image/1554346194883.jpeg,Ph.D. Candidate,"I'm interested in facilitating hand-drawn animation using machine learning and graphics techniques. Recently, I'm looking into ways to represent ",6478596301,,,,https://www.linkedin.com/in/ohnooj/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9803a01a-b3c0-4010-bad2-8a1b382b0134/resume,,,,,linkedin,2021-10-20T17:41:07.884Z,2021-10-20T17:41:08.100Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,ON,Spring/Summer 2024 (April - July),,Mr.,https://www.linkedin.com/in/ohnooj/,"Computer vision, Few-shot learning, Generative modeling",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,Technology (Information and Media),Internship,Machine Learning Researcher/Scientist ,University of Toronto,True,True,True,True @@ -548,11 +524,6 @@ ace72987-3e72-44e8-95ce-b16d9da66f94,abhinav95grover@gmail.com,Abhinav,Grover,ht 27ec4df3-88d3-40de-8d2e-3d78aab1edd2,quanxiao@schulich.yorku.ca,Xiao,Quan,https://talenthub.vectorinstitute.ai/profiles/1644775/view_image/DS_4.23_%E5%85%A8%E5%B0%8F%E5%A7%902%E5%AF%B8.jpg,,,6472363919,,,,,,True,False,,Toronto,Ontario,,Canada,,2020-02-14T20:02:20.358Z,2020-02-14T20:02:20.384Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,[ON] Ontario,Already Graduated,,Ms.,https://www.linkedin.com/in/xiao-quan-9339286b/,,Graduate Degree (Masters),,MBAN,Type of Work is More Important to me than Sector,Full Time,,York University,True,True,True,True 1d26ba52-f8ad-42be-87f7-d7b899b1c3b7,tpriya382@gmail.com,Priya,Thakur,https://talenthub.vectorinstitute.ai/profiles/1915094/view_image/Priya_Thakur.jpg,,,6478196296,,,,https://www.linkedin.com/in/priyathakur95,,True,False,https://canadaai.jobboard.io/api/v1/profiles/1d26ba52-f8ad-42be-87f7-d7b899b1c3b7/resume,Toronto,Ontario,,Canada,,2020-08-08T02:44:13.097Z,2020-11-18T20:25:48.743Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Prof. Animesh Garg and Prof. Frank Rudzicz.,Already Graduated,,Ms.,https://www.linkedin.com/in/priyathakur95,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Science in Applied Computing,Type of Work is More Important to me than Sector,Full Time,,University of Toronto,True,False,True,True 6fec3209-223e-478c-9cdd-a324ef8984d4,beth.gerritsen@mail.utoronto.ca,Beth,Gerritsen,https://talenthub.vectorinstitute.ai/profiles/2247672/view_image/bethprofile2020.jpg,"Health Care Professional, passionate about digital health and improving patient experiences. ",,,,,,https://www.linkedin.com/in/bethgerritsen/,GerritsenBeth,True,False,https://canadaai.jobboard.io/api/v1/profiles/6fec3209-223e-478c-9cdd-a324ef8984d4/resume,,,,,,2021-02-26T17:21:45.339Z,2021-02-26T17:21:45.368Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2021,,Ms.,https://www.linkedin.com/in/bethgerritsen/,"Healthcare and/or medical imaging, Interpretability, Law, ethics and policy, Machine learning, Natural language processing, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Senior Level (5+ Years),Masters of Health Informatics,"Construction or Infrastructure, Health","Internship, Contract",,University of Toronto,True,True,True,True -0c0223bf-1a7d-4c1d-ab12-5e2b8304ca4e,apinanapinan@icloud.com,Apinan,Yogaratnam,https://talenthub.vectorinstitute.ai/profiles/2426150/view_image/1590295110463.jpeg,Aspiring Software Developer,,4377703354,,https://apinanyogaratnam.github.io/my-personal-website-v1.0/,,https://www.linkedin.com/in/apinan-yogaratnam/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0c0223bf-1a7d-4c1d-ab12-5e2b8304ca4e/resume,Scarborough,Ontario,,Canada,linkedin,2021-07-06T23:34:12.155Z,2021-07-06T23:34:12.351Z,False,False,Not Affiliated with Vector,No,Other/Unsure,ON,Other/Undetermined,,Mr.,https://www.linkedin.com/in/apinan-yogaratnam/,"Natural language processing, Optimization, Wearable technology and/or Internet of Things",High School,Entry Level (0-2 Years),Mathematics and Statistics,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't)","Internship, Co-op","Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Product/Project Manager, Software Engineer",University of Toronto,True,False,True,True -35439e09-cf02-44fd-a0f2-8f06c3685245,sukanyamahata@gmail.com,Sukanya,Mahata,https://talenthub.vectorinstitute.ai/profiles/1932124/view_image/profile.jpg,Marketing and Data Science | Rotman | IIM A,"As a marketing and data science professional, I am passionate about using data to discover meaningful insights. My previous experience includes stints in Foods, Hospitality and Personal Care sectors, focusing on Brand, Digital Marketing and Consumer Analytics.",16478304981,,,,https://www.linkedin.com/in/sukanyamahata,,True,False,https://canadaai.jobboard.io/api/v1/profiles/35439e09-cf02-44fd-a0f2-8f06c3685245/resume,Toronto,Ontario,,Canada,,2020-08-13T19:39:54.774Z,2020-09-12T18:21:21.819Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Already Graduated,,Ms.,https://www.linkedin.com/in/sukanyamahata,,Graduate Degree (Masters),Mid-Level (3-5 Years),Masters in Management Analytics,"Education, Financial Services, Health, Manufacturing , Public Administration (i.e Gov't), Retail, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector",Full Time,,University of Toronto,True,True,True,True -27ec4df3-88d3-40de-8d2e-3d78aab1edd2,quanxiao@schulich.yorku.ca,Xiao,Quan,https://talenthub.vectorinstitute.ai/profiles/1644775/view_image/DS_4.23_%E5%85%A8%E5%B0%8F%E5%A7%902%E5%AF%B8.jpg,,,6472363919,,,,,,True,False,,Toronto,Ontario,,Canada,,2020-02-14T20:02:20.358Z,2020-02-14T20:02:20.384Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,[ON] Ontario,Already Graduated,,Ms.,https://www.linkedin.com/in/xiao-quan-9339286b/,,Graduate Degree (Masters),,MBAN,Type of Work is More Important to me than Sector,Full Time,,York University,True,True,True,True -1d26ba52-f8ad-42be-87f7-d7b899b1c3b7,tpriya382@gmail.com,Priya,Thakur,https://talenthub.vectorinstitute.ai/profiles/1915094/view_image/Priya_Thakur.jpg,,,6478196296,,,,https://www.linkedin.com/in/priyathakur95,,True,False,https://canadaai.jobboard.io/api/v1/profiles/1d26ba52-f8ad-42be-87f7-d7b899b1c3b7/resume,Toronto,Ontario,,Canada,,2020-08-08T02:44:13.097Z,2020-11-18T20:25:48.743Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Prof. Animesh Garg and Prof. Frank Rudzicz.,Already Graduated,,Ms.,https://www.linkedin.com/in/priyathakur95,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Science in Applied Computing,Type of Work is More Important to me than Sector,Full Time,,University of Toronto,True,False,True,True -6fec3209-223e-478c-9cdd-a324ef8984d4,beth.gerritsen@mail.utoronto.ca,Beth,Gerritsen,https://talenthub.vectorinstitute.ai/profiles/2247672/view_image/bethprofile2020.jpg,"Health Care Professional, passionate about digital health and improving patient experiences. ",,,,,,https://www.linkedin.com/in/bethgerritsen/,GerritsenBeth,True,False,https://canadaai.jobboard.io/api/v1/profiles/6fec3209-223e-478c-9cdd-a324ef8984d4/resume,,,,,,2021-02-26T17:21:45.339Z,2021-02-26T17:21:45.368Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2021,,Ms.,https://www.linkedin.com/in/bethgerritsen/,"Healthcare and/or medical imaging, Interpretability, Law, ethics and policy, Machine learning, Natural language processing, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Senior Level (5+ Years),Masters of Health Informatics,"Construction or Infrastructure, Health","Internship, Contract",,University of Toronto,True,True,True,True e6e06169-dc48-49ff-a259-c1eb58b30927,kaur19s@uwindsor.ca,Rajwinder,Kaur,https://talenthub.vectorinstitute.ai/profiles/1818441/view_image/0.jpeg,,,,,,,https://www.linkedin.com/in/rajwinderkdhindsa/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e6e06169-dc48-49ff-a259-c1eb58b30927/resume,,,,,linkedin,2020-06-09T16:03:33.872Z,2020-06-09T16:03:34.105Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/rajwinderkdhindsa/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Applied Computing,"Software, Technology (Product Development)","Internship, Co-op",,University of Windsor,True,False,True,True c7efe5b2-f265-4c8d-af31-87eae64e4ba7,mseif@email.arizona.edu,Mohamed,Seif,https://talenthub.vectorinstitute.ai/profiles/1873933/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-07-15T20:20:05.920Z,2020-07-15T20:20:06.173Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/mohamed-seif-9942aa122/,,,,,,,,,True,True,True,True 304558e9-ed8e-458c-94ba-a343d6261d85,priyanshishah.cea21@gmail.com,priyanshi,shah,https://talenthub.vectorinstitute.ai/profiles/1667196/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-03-08T17:42:32.800Z,2020-08-09T18:42:23.788Z,False,False,Recognized Masters Program,Yes,,,Already Graduated,,,https://www.linkedin.com/in/priyanshi-shah-48530511b/,,Graduate Degree (Masters),,Computer Science,,,,University of Windsor,True,True,True,True @@ -565,52 +536,56 @@ aad4734b-8e70-4f3b-b1d6-2ce1d0986516,raisul.alam@utoronto.ca,Muhammad Raisul,Ala • 3+ years of experience in software development for large-scale database systems. • Flexible, independent, creative, and dependable; excellent team player.",4163172878,,https://www.cs.toronto.edu/~raisul/,,https://www.linkedin.com/in/muhammad-raisul-alam/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/aad4734b-8e70-4f3b-b1d6-2ce1d0986516/resume,Toronto,Ontario,,Canada,linkedin,2020-03-02T19:54:56.495Z,2021-10-13T00:34:55.278Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Frank Rudzicz and Alex Mihailidis,Already Graduated,,Dr.,https://www.linkedin.com/in/muhammad-raisul-alam/,"Machine learning, Optimization, Wearable technology and/or Internet of Things",Postgraduate Degree (PhD),Senior Level (5+ Years),"Postdoctoral Fellow, Computer Science and Occupational Science & Occupational Therapy","Education, Health, Public Administration (i.e Gov't)",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Carleton University,True,True,True,True 04ef4444-6555-4088-b5fa-53f835bf0821,seyedahmadpourihosseini@gmail.com,Ahmad,Pourihosseini,https://talenthub.vectorinstitute.ai/profiles/2477504/view_image/1629345457195.jpeg,MScAC Student at UofT,"Hardworking MScAC student with a superb academic record and demonstrated experience in machine learning and software development, looking for a full-time machine learning internship where I can apply my academic training and professional experience in the form of an applied research project.",6475125870,,https://www.ahmadph.com,,https://www.linkedin.com/in/ahmad-pourihosseini,,True,False,https://canadaai.jobboard.io/api/v1/profiles/04ef4444-6555-4088-b5fa-53f835bf0821/resume,Toronto,Ontario,,Canada,linkedin,2021-08-22T18:49:34.022Z,2022-03-08T13:40:55.727Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/ahmad-pourihosseini/,"Computer vision, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Science in Applied Computing - Computer Science Concentration,"Software, Technology (Product Development)","Full Time, Internship","Machine Learning Engineer, Software Engineer",University of Toronto,True,True,True,True -fd1a6c12-42b3-4a71-9d0c-8c13a77e390e,zakamran@gmail.com,Zawwar,Kamran,https://talenthub.vectorinstitute.ai/profiles/1604943/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-16T20:43:09.955Z,2020-01-16T20:43:10.258Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/zawwar-kamran-703653157/,,,,,,,,,True,False,True,True -680eb49d-a2c2-4e05-a55e-c0f0dd3bd7a3,kevin_ma215@hotmail.com,Kevin,Ma,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,"Financial services professional with experience in data mining, data warehousing, quantitative data analysis tools, statistical analysis techniques, product development, and model/tool development. Strong adaptability and accountability with a proven record to exceed project performance expectations. Experienced in creating, cultivating, and leading a high performance team through the implementation and execution of analytics initiatives.",,,,,https://www.linkedin.com/in/makevin/,,True,True,https://canadaai.jobboard.io/api/v1/profiles/680eb49d-a2c2-4e05-a55e-c0f0dd3bd7a3/resume,,,,,linkedin,2021-09-17T20:33:25.764Z,2021-09-17T20:33:25.913Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/makevin/,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Management in Artificial Intelligence,"Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",Queen's University,True,False,True,True 58d38b3c-814b-415f-8f5c-aaca10d93989,sharon.ferguson@mail.utoronto.ca,Sharon,Ferguson,https://talenthub.vectorinstitute.ai/profiles/2344257/view_image/IMG_8534.jpeg,Machine Learning MASc Student at the University of Toronto,MASc student at the University of Toronto studying instant messaging use with natural language processing methods. Looking for a data science internship to explore machine learning applications in industry.,6472695073,,https://github.com/Sharonashley/,,https://linkedin.com/in/sharon-ferguson,_sharonferguson,True,False,https://canadaai.jobboard.io/api/v1/profiles/58d38b3c-814b-415f-8f5c-aaca10d93989/resume,Toronto,Ontario,,Canada,,2021-05-04T15:07:00.405Z,2021-05-05T22:11:29.880Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://linkedin.com/in/sharon-ferguson,"Data science, Fairness, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),1,"Education, Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Internship, Co-op, Contract","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",University of Toronto,True,True,True,True +680eb49d-a2c2-4e05-a55e-c0f0dd3bd7a3,kevin_ma215@hotmail.com,Kevin,Ma,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,"Financial services professional with experience in data mining, data warehousing, quantitative data analysis tools, statistical analysis techniques, product development, and model/tool development. Strong adaptability and accountability with a proven record to exceed project performance expectations. Experienced in creating, cultivating, and leading a high performance team through the implementation and execution of analytics initiatives.",,,,,https://www.linkedin.com/in/makevin/,,True,True,https://canadaai.jobboard.io/api/v1/profiles/680eb49d-a2c2-4e05-a55e-c0f0dd3bd7a3/resume,,,,,linkedin,2021-09-17T20:33:25.764Z,2021-09-17T20:33:25.913Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/makevin/,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Management in Artificial Intelligence,"Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",Queen's University,True,False,True,True 049f1b07-9570-4906-81eb-865f2518d9b2,y3593zha@uwaterloo.ca,Yuqing,Zhang,https://talenthub.vectorinstitute.ai/profiles/1965112/view_image/profile-YuqingZhang.jpg,Graduate student at the University of Waterloo,Hi! I am a current master student in data science and artificial intelligence at Waterloo :),,,,,,,True,False,,,,,,,2020-09-03T11:13:45.567Z,2020-09-24T12:54:46.323Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,N/A,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of data scence and artificial intelligence,"Education, Financial Services, Health, Technology (Information and Media), Type of Work is More Important to me than Sector","Internship, Co-op",,University of Waterloo,True,True,True,True 8346555f-7691-48ab-b2a9-8f93b9dfa3db,jaideram@schulich.yorku.ca,Jaider,Ramirez,https://talenthub.vectorinstitute.ai/profiles/2382443/view_image/1599703307550__1_.jpg,Master of Business Analytics Candidate (2022) - Data and Optimization Enthusiast,Master of Business Analytics student at Schulich School of Business. Industrial Engineering graduate experienced in analyzing and optimizing business processes. Bilingual in English and Spanish.,6474820596,,,,https://www.linkedin.com/in/jaiderramirez/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8346555f-7691-48ab-b2a9-8f93b9dfa3db/resume,Toronto,Ontario,,Canada,,2021-06-02T13:19:20.674Z,2021-06-03T16:34:05.404Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/jaiderramirez/,"Data science, Machine learning, Optimization, Transfer learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Business Analytics,"Construction or Infrastructure, Financial Services, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer",York University,True,True,True,True 66d1a203-90cd-4546-a59b-60728dbc3dca,jimmylihe@gmail.com,Jimi,Li,https://talenthub.vectorinstitute.ai/profiles/1550823/view_image/download-removebg-preview_-_Copy.png,Data Scientist (Quants) at TD,"Internationally experienced, multidisciplinary, and award-winning quality assurance professional, mechanical engineer, and machine learning enthusiast, highly effective at enabling cross-functional teams to achieve objectives using strategic planning and quantitative analysis. Dependable and reliable strong collaborative team player with an ability to influence teams and drive business operation improvement endeavors.",416-838-3926,,https://github.com/jimmylihe,,https://www.linkedin.com/in/jimili/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/66d1a203-90cd-4546-a59b-60728dbc3dca/resume,Toronto,Ontario,,Canada,linkedin,2019-12-03T17:44:30.763Z,2021-09-01T13:37:22.273Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/jimili/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management in Artificial Intelligence,"Financial Services, Health, Retail, Software, Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True -b173f5f3-9989-430c-bb55-94334be318b9,peaswaramoorthy19@schulich.yorku.ca,Piranavan,Easwaramoorthy,https://talenthub.vectorinstitute.ai/profiles/1546278/view_image/0.jpeg,,,,,,,https://www.linkedin.com/in/piranavaneaswaramoorthy/,,True,False,,Toronto,Ontario,,Canada,linkedin,2019-12-02T17:58:43.326Z,2019-12-02T17:58:43.475Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/piranavaneaswaramoorthy/,,,,Master of Business Analytics (MBAN),Financial Services,Full Time,,York University,True,False,True,True ab89003c-41be-4cdd-8315-b46857596036,pranavgp187@gmail.com,Pranav,Gupta,https://talenthub.vectorinstitute.ai/profiles/2382422/view_image/ARIE_Photo.jpg,,,4379865989,,,,https://www.linkedin.com/in/pranav-gupta98/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ab89003c-41be-4cdd-8315-b46857596036/resume,Toronto,Ontario,,Canada,,2021-06-02T13:19:18.545Z,2022-01-21T16:39:35.960Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/pranav-gupta98/,"Data science, Machine learning, Natural language processing, Recommender systems",Graduate Degree (Masters),Entry Level (0-2 Years),Pranav Gupta,"Software, Technology (Product Development), Type of Work is More Important to me than Sector",Co-op,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True 25ce987e-4831-4f5b-912b-0999a0a71df3,ezhang0220@gmail.com,Elaine,Zhang,https://talenthub.vectorinstitute.ai/profiles/2178528/view_image/1609783903570.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-01-05T03:04:57.108Z,2021-01-05T03:04:57.339Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/ezelainezhang/,"Data science, Deep learning, Robotics",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management Analytics,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Internship, Co-op",,Queen's University,True,True,True,True 7e36e566-2bec-4de9-8a6e-98185ca07778,larenmark@gmail.com,Laren Mark,D'Cruz,https://talenthub.vectorinstitute.ai/profiles/1693575/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-03-29T02:21:00.640Z,2020-03-29T02:21:00.913Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/laren-mark-d-cruz-0a497845/,,,,,,,,,True,True,True,True 2af61356-9590-4113-b63c-c4f6b66ad16c,alois.clerc@gmail.com,Alois,Clerc,https://talenthub.vectorinstitute.ai/profiles/1607439/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-18T18:59:02.193Z,2020-01-18T18:59:02.726Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/alois-clerc/,,Undergraduate Degree (Bachelors),,,,,,,True,False,True,True 4d72f66d-92ab-41e8-849f-266dfdda39f6,ahuja.paarth00@gmail.com,Paarth,Ahuja,https://talenthub.vectorinstitute.ai/profiles/1612258/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-22T04:36:31.356Z,2020-01-22T04:36:31.581Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/paarth-ahuja/,,Undergraduate Degree (Bachelors),,,,,,,True,False,True,True +fd1a6c12-42b3-4a71-9d0c-8c13a77e390e,zakamran@gmail.com,Zawwar,Kamran,https://talenthub.vectorinstitute.ai/profiles/1604943/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-16T20:43:09.955Z,2020-01-16T20:43:10.258Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/zawwar-kamran-703653157/,,,,,,,,,True,False,True,True +57cb43d6-2678-4cbf-a559-6327e496f832,jackson.ethan.c@gmail.com,Ethan,Jackson,https://talenthub.vectorinstitute.ai/profiles/1546218/view_image/0.jpeg,Post-Doctoral Fellow at the University of Guelph Machine Learning Research Group and Vector Institute,"Post-doctoral machine learning researcher specializing in reinforcement learning and predictive time series modelling. Current research projects include economic forecasting with the Arrell Food Institute and reinforcement learning based strategies for improving software reliability. I am planning to spend 1 to 2 years in my current post-doc position, and I am widely interested in academic collaborations or in a transition to research in industry.",9053599063,,http://www.ethancjackson.ca,,https://www.linkedin.com/in/ethan-c-jackson-ab409472/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/57cb43d6-2678-4cbf-a559-6327e496f832/resume,Guelph,Ontario,,Canada,linkedin,2019-12-02T17:23:39.483Z,2019-12-02T17:23:39.675Z,False,False,Connected to Vector Research,Yes,Post Graduate Affiliate,Graham Taylor / Mark Daley,,,Mr.,https://www.linkedin.com/in/ethan-c-jackson-ab409472/,,Postgraduate Degree (PhD),,PhD Computer Science,"Financial Services, Retail, Telecommunications",Full Time,,Western University,True,False,True,True +b173f5f3-9989-430c-bb55-94334be318b9,peaswaramoorthy19@schulich.yorku.ca,Piranavan,Easwaramoorthy,https://talenthub.vectorinstitute.ai/profiles/1546278/view_image/0.jpeg,,,,,,,https://www.linkedin.com/in/piranavaneaswaramoorthy/,,True,False,,Toronto,Ontario,,Canada,linkedin,2019-12-02T17:58:43.326Z,2019-12-02T17:58:43.475Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/piranavaneaswaramoorthy/,,,,Master of Business Analytics (MBAN),Financial Services,Full Time,,York University,True,False,True,True +ba4278d9-7050-4e98-a36b-03027b1881e4,megsjaipur8@gmail.com,MEGHNA,VERMA,https://talenthub.vectorinstitute.ai/profiles/1549441/view_image/0.jpeg,,,,,,,https://www.linkedin.com/in/meghnaverma08,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ba4278d9-7050-4e98-a36b-03027b1881e4/resume,Toronto,Ontario,,Canada,linkedin,2019-12-02T21:50:35.123Z,2019-12-02T21:50:35.318Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Miss.,https://www.linkedin.com/in/meghnaverma08,,,,Master of Management in Artificial Intelligence,"Financial Services, Retail, Telecommunications","Internship, Capstone Project",,Queen's University,True,True,True,True +a7d3d4ff-7a4e-424c-9dec-3785f4f36ac9,sandeep25789@gmail.com,Sandeep,"Kumar, PhD",https://talenthub.vectorinstitute.ai/profiles/2152989/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-12-07T19:38:34.229Z,2020-12-07T19:38:34.442Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/sandeep-kumar-phd-62742117/,,,,,,,,,True,True,True,True +10af6c71-1f1e-46aa-bee5-091ca2e435bf,jianhui.li@mail.utoronto.ca,Wayne(Jianhui),Li,https://talenthub.vectorinstitute.ai/profiles/2197831/view_image/1598974878543.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-01-20T01:19:47.002Z,2021-03-23T15:48:17.597Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/jianhui-wayne-li/,,,,,,,,,True,True,True,True +e95f662d-627b-427e-a2c0-150d078d7195,vm.gustavo31@gmail.com,Gustavo,V. Maia,https://talenthub.vectorinstitute.ai/profiles/2179682/view_image/1517378252256.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-01-05T23:33:46.600Z,2021-01-05T23:33:46.867Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/vmgustavo/,,,,,,,,,True,False,True,True +428966de-fd34-43c9-9122-d33d491e2aa2,joannaroy6@gmail.com,Joanna,Roy,https://talenthub.vectorinstitute.ai/profiles/2173333/view_image/1578322827399.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-12-28T18:20:29.369Z,2020-12-28T18:20:29.563Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/joanna-roy-162261195/,,,,,,,,,True,True,True,True +84c286ce-8c77-4d73-99bc-1b1eda19a98d,vedantthakar31@gmail.com,Vedant,Thakar,https://talenthub.vectorinstitute.ai/profiles/2474099/view_image/1628087851367.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-08-19T04:56:33.791Z,2021-08-19T04:56:33.964Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/vedant-thakar-3b7731203/,,,,,,,,,True,True,True,True +73841fac-fc3e-41c5-a80a-c471a4d8ef15,ugo.okehi@gmail.com,Ugochinyere,Okehi,https://talenthub.vectorinstitute.ai/profiles/2491922/view_image/1517629959158.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-08-31T17:40:23.759Z,2021-08-31T17:40:23.945Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/uokehi/,,,,,,,,,True,False,True,True +4edf5ec2-cf62-4fbb-9e64-48f256707ff1,guldam@kaist.ac.kr,Guldam,Kwak,https://talenthub.vectorinstitute.ai/profiles/2198480/view_image/1561858080653.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-01-20T12:37:33.780Z,2021-01-20T12:37:33.963Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/guldam-kwak-5a55b64b/,,,,,,,,,True,True,True,True +7fd213cc-a9c6-4245-90c8-aa795520e244,bmilliga@uoguelph.ca,Ben,Milligan,https://talenthub.vectorinstitute.ai/profiles/2197553/view_image/1606271455752.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-01-19T20:16:40.240Z,2021-01-19T20:16:40.488Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/benmilligan314159/,,,,,,,,,True,False,True,True +2ed08956-6e5a-435b-a0f2-4e361600f01e,brandon.rufino@mail.utoronto.ca,Brandon,Rufino,https://talenthub.vectorinstitute.ai/profiles/2168806/view_image/headshot.png,MASc Biomedical Engineering,"As a first generation student I have had a lot of expectations placed on myself. With that being said, I have thrived and used these expectations as fuel to further my career. I am passionate about advancing the technology field through harnessing data and AI. Most of my work today is dedicated towards my research projects which develop and deploy NLP and machine learning algorithms at Holland Bloorview and St. Michael's Hospital. +I strive under pressure (how else are diamond made?) and I am always looking for the next opportunity to develop my skills with hopes to one day pursue a consulting, development, or entrepreneurial career! ",4168259194,,https://brandonrufino.com/,,https://www.linkedin.com/in/brandon-rufino/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2ed08956-6e5a-435b-a0f2-4e361600f01e/resume,Toronto,Ontario,,Canada,,2020-12-21T15:12:30.828Z,2020-12-24T20:52:51.986Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/brandon-rufino/,"Data science, Deep learning, Healthcare and/or medical imaging, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Biomedical Engineering,"Health, Professional Services (e.g Consulting), Technology (Product Development)","Full Time, Co-op",,University of Toronto,True,True,True,True +47c25ee1-1403-4d1f-b0e6-ece6be3b5a32,safwan.hossain@mail.utoronto.ca,Safwan,Hossain,https://talenthub.vectorinstitute.ai/profiles/1546191/view_image/0.jpeg,MSc Student in Computer Science at the University of Toronto,"I am an MSc student in Computer Science at the University of Toronto with excellent academic credentials, research and industry experience. My current interests are in algorithmic game theory and machine learning. I work as a research assistant at Vector institute and am supervised by Nisarg Shah and Frank Rudzicz.",647 779 3773,,https://safwanhossain.github.io/,,https://www.linkedin.com/in/safwan-hossain-5331b98a/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/47c25ee1-1403-4d1f-b0e6-ece6be3b5a32/resume,Toronto,Ontario,,Canada,linkedin,2019-12-02T17:10:21.412Z,2019-12-07T16:24:55.408Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Frank Rudzicz,,,Mr.,https://www.linkedin.com/in/safwan-hossain-5331b98a/,,,,2,Financial Services,"Full Time, Internship",,University of Toronto,True,True,True,True +1348a34e-9868-4b25-a0e9-0a1ca960acb7,liushanning@outlook.com,Shanning (Sean),Liu,https://talenthub.vectorinstitute.ai/profiles/2493590/view_image/IMG_1932.jpg,,,4379730343,,,,https://www.linkedin.com/in/shanning-liu,,True,False,https://canadaai.jobboard.io/api/v1/profiles/1348a34e-9868-4b25-a0e9-0a1ca960acb7/resume,Toronto,Ontario,,Canada,,2021-09-01T20:47:30.572Z,2021-09-21T00:35:01.336Z,False,False,Not Affiliated with Vector,No,Vector Scholarship Recipient,,Spring/Summer 2023 (April - July),,Miss.,https://www.linkedin.com/in/shanning-liu/,"AI safety, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),MScAC,"Financial Services, Retail, Software, Technology (Information and Media), Technology (Product Development)","Internship, Co-op",Software Engineer,University of Toronto,True,True,True,True +3284ed48-2a50-497f-bf2e-c1a459513307,kevo.zhu@mail.utoronto.ca,Kevin,Zhu,https://talenthub.vectorinstitute.ai/profiles/2493630/view_image/IMG_0432_2.png,,,,,https://github.com/kevqyzhu,,https://www.linkedin.com/in/kevin-qy-zhu/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3284ed48-2a50-497f-bf2e-c1a459513307/resume,Toronto,Ontario,,Canada,,2021-09-01T20:47:58.953Z,2021-10-17T14:40:01.258Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Alán Aspuru-Guzik,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/kevin-qy-zhu/,,College Diploma,Entry Level (0-2 Years),Bioinformatics and Computer Science,"Health, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op","Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True +c770748c-f697-480f-857a-152102d7cbb3,bluteaur@uwindsor.ca,Ryan,Bluteau,https://talenthub.vectorinstitute.ai/profiles/2124477/view_image/D571B4C4-5F69-49A1-926C-F0BB123ACC3D.jpeg,"PhD Natural Language Processing, Master’s Computer Vision",I’m currently doing a PhD in NLP working with transformers to classify text. I did my masters in computer vision specifically in obstacle detection. My undergrad was a double major in Mathematics and Computer Sciences. ,2263487666,,,,http://linkedin.com/in/ryan-bluteau-783068173,,True,False,,,,,,,2020-11-06T15:01:23.369Z,2020-11-06T16:18:14.907Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023,,Mr.,http://linkedin.com/in/ryan-bluteau-783068173,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science,"Software, Technology (Product Development), Type of Work is More Important to me than Sector",Internship,,University of Windsor,True,True,True,True +c72994d6-6a32-4236-b512-0dfbcc07645c,agbanyimdaniel29@gmail.com,Daniel,Agbanyim,https://talenthub.vectorinstitute.ai/profiles/2149880/view_image/1516825334091.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-12-04T00:05:47.450Z,2020-12-04T00:05:47.656Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/daniel-agbanyim-40771539/,,,,,,,,,True,True,True,True +a3ee2346-c598-4a8c-8cb0-600d11c5fa7f,steven.tran1991@gmail.com,Steven,Tran,https://talenthub.vectorinstitute.ai/profiles/1610519/view_image/0.jpeg,,,(647) 282-2328,,,,https://www.linkedin.com/in/steven-tran-mrtr/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a3ee2346-c598-4a8c-8cb0-600d11c5fa7f/resume,,,,,linkedin,2020-01-21T01:52:22.444Z,2020-01-21T01:52:22.679Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/steven-tran-mrtr/,,Graduate Degree (Masters),,Master's of Health Informatics,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't)",Co-op,,University of Toronto,True,False,True,True +11777938-fc86-4b4d-a4bd-fe885efe1765,abeer.badawi@ontariotechu.ca,Abeer,badawi,https://talenthub.vectorinstitute.ai/profiles/2115623/view_image/0.jpeg,Data scientist ,"Experience in Research and Teaching Assistant with a demonstrated history of working in the education management industry and Research. Skilled in computer engineering, data science, data mining, artificial intelligence, and data visualization. High knowledge in Python, Tableau, SQL, Matlab, and Multisim. Currently, A Ph.D. candidate working in data science, biomedical signals, and real-time analysis. +Github Link: https://github.com/abeerbadawi +Tableau Portfolio: https://public.tableau.com/profile/abeer6392#!/ +Researchgate link: https://www.researchgate.net/profile/Abeer_Badawi ",4379713670,,,,https://www.linkedin.com/in/abeer-badawi-842199117/,,True,False,,Toronto,Ontario,,Canada,linkedin,2020-10-28T19:43:39.865Z,2021-10-15T14:11:07.411Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,Ontario,Fall 2024 (August - November),,Mrs.,https://www.linkedin.com/in/abeer-badawi-842199117/,,Postgraduate Degree (PhD),Entry Level (0-2 Years),electrical and computer engineering,"Education, Health, Software, Technology (Information and Media)","Internship, Co-op, Capstone Project",,OntarioTech University,True,True,True,True +2c07476f-a860-48ba-9a32-a7a836b87c95,shreyashettt848@gmail.com,Shreya,Shetty,https://talenthub.vectorinstitute.ai/profiles/1583399/view_image/0.jpeg,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2c07476f-a860-48ba-9a32-a7a836b87c95/resume,,,,,linkedin,2020-01-05T11:15:04.360Z,2020-01-05T11:15:04.528Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/shreya-shetty-b91676150/,,,,Master's in computer science-Big Data,"Software, Technology (Information and Media), Technology (Product Development)","Internship, Co-op",,Other,True,False,True,True +86916303-dad8-4dbb-b0d1-7e3f51a62770,skim2257@uwo.ca,Sejin,Kim,https://talenthub.vectorinstitute.ai/profiles/1610212/view_image/0.jpeg,Incoming MS Machine Learning Student at the University of Toronto,,,,,,https://www.linkedin.com/in/sejin-k-232111115/,,True,False,,,,,,linkedin,2020-01-20T20:33:05.734Z,2020-01-22T06:52:35.387Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Benjamin Haibe-Kains,Already Graduated,,Mr.,https://www.linkedin.com/in/sejin-k-232111115/,,Undergraduate Degree (Bachelors),,Medical Sciences - Medical Health Informatics,"Education, Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Internship,,Western University,True,True,True,True +0b998d47-dacb-4545-9b9d-684571430771,bingzhangzhu@outlook.com,Bingzhang,Zhu,https://talenthub.vectorinstitute.ai/profiles/2493618/view_image/WechatIMG28.jpeg,,,4373403084,,,,,,True,False,,Toronto,Ontario,,Canada,,2021-09-01T20:47:51.273Z,2021-09-01T21:17:14.738Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/bingzhang-edward-z-698b48105/,"Data science, Deep learning, Machine learning, Natural language processing, Recommender systems",Graduate Degree (Masters),Entry Level (0-2 Years),"Master of Science in Applied Computing, Computer Science","Retail, Technology (Information and Media)","Full Time, Internship, Co-op","Data Scientist, Machine Learning Engineer, Software Engineer",University of Toronto,True,True,True,True +071298e7-0a3c-40a7-8043-b63cc5f30968,james.marcogliese@gmail.com,James,Marcogliese,https://talenthub.vectorinstitute.ai/profiles/2789493/view_image/1625060144210.jpeg,,,,,,,https://www.linkedin.com/in/jamesmarcogliese/,,True,False,,Oakville,Ontario,,Canada,linkedin,2022-04-29T01:49:00.963Z,2022-04-29T01:49:01.451Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/jamesmarcogliese/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Data Science and Analytics - MSc,,Full Time,"Data Engineer, Machine Learning Engineer, Software Engineer",Ryerson University,True,True,True,True 7aaa1f4b-ccd4-4df7-ac77-c3290e1ce0d9,bkolisnik@gmail.com,Brendan,Kolisnik,https://talenthub.vectorinstitute.ai/profiles/2493633/view_image/linkedincrop.png,MScAC Data Scientist Intern,"Data Scientist Consulting Intern @ Omnia AI, Deloitte Excited about Deep Learning, Computer Vision, Natural Language Processing, and Explainable AI.",4169381690,,,,https://www.linkedin.com/in/brendan-kolisnik-44a167133/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/7aaa1f4b-ccd4-4df7-ac77-c3290e1ce0d9/resume,Toronto,Ontario,,Canada,,2021-09-01T20:48:00.400Z,2021-09-23T13:33:48.627Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/brendan-kolisnik-44a167133/,"Computer vision, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Science in Applied Computing,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,False,True,True 5f66d1b5-afe6-4f4c-b6a9-3169c4aa0ee4,charissklin@gmail.com,Charis,Lin,https://talenthub.vectorinstitute.ai/profiles/1730521/view_image/0.jpeg,Master of Health Informatics Candidate | CT Technologist,"Upcoming health informatics professional and practicing CT technologist with extensive QI, research, and clinical experience. Passion for integrating clinical knowledge with data-driven findings to design impactful interventions that improve patient care. ",289 380 9078,,,,https://www.linkedin.com/in/charis-lin-23b43a99/,charislin7,True,False,https://canadaai.jobboard.io/api/v1/profiles/5f66d1b5-afe6-4f4c-b6a9-3169c4aa0ee4/resume,Toronto,Ontario,,Canada,linkedin,2020-04-28T23:42:30.142Z,2020-09-14T21:16:45.037Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Ms.,https://www.linkedin.com/in/charis-lin-23b43a99/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Health Informatics,"Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Internship, Co-op",,University of Toronto,True,True,True,True 6a6c7a5f-f5c8-43b7-b7bb-87ce6445b61c,emmaho1125@gmail.com,Emma,Ho,https://talenthub.vectorinstitute.ai/profiles/2707023/view_image/1621104567921.jpeg,Computer Science student at University of Toronto,,6479191858,,,,https://www.linkedin.com/in/emmakwho/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6a6c7a5f-f5c8-43b7-b7bb-87ce6445b61c/resume,Toronto,Ontario,,Canada,linkedin,2022-02-26T16:02:21.632Z,2022-02-26T19:48:57.650Z,False,False,Not Affiliated with Vector,No,Student or Postdoc of a Vector Faculty Member,University of Toronto,Other/Undetermined,,Ms.,https://www.linkedin.com/in/emmakwho/,"AI safety, Deep learning, Robotics",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science,"Technology (Information and Media), Technology (Product Development), Telecommunications","Internship, Contract","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Toronto,True,False,True,True 0df46c3b-5137-4a6b-8cc9-4d803dd15f0a,ansariuminhaj@gmail.com,Minhaj,Ansari,https://talenthub.vectorinstitute.ai/profiles/1804904/view_image/Minhaj.jpg,Master's in Computer Science and Artificial Intelligence,,2898799901,,,,https://www.linkedin.com/in/minhaj-uddin-ansari-040573160/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0df46c3b-5137-4a6b-8cc9-4d803dd15f0a/resume,,,,,,2020-05-27T11:34:28.183Z,2022-01-18T21:04:32.059Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,Not Found,"Bayesian methods, Data science, Deep learning, Interpretability, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),MS in Computer Science and AI,"Construction or Infrastructure, Education, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Queen's University,True,True,True,True -84aa251b-5412-4ce8-963f-b68982642c01,khaled.waleed.app@gmail.com,Khaled,Khalil,https://talenthub.vectorinstitute.ai/profiles/2142920/view_image/0.jpeg,Industrial Engineering student minoring in Artificial Intelligence and Business,I'm an engineering student looking to work in AI/ML. I'm currently looking to pursue a masters/full-time job/internship in AI,6472346346,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/84aa251b-5412-4ce8-963f-b68982642c01/resume,Toronto,Ontario,,Canada,linkedin,2020-11-26T07:58:39.226Z,2020-11-26T15:36:09.142Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Winter 2021,Applying for an affiliated AI Masters at UofT,Mr.,https://www.linkedin.com/in/khaled-khalill/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Industrial Engineering,Type of Work is More Important to me than Sector,"Full Time, Internship, Contract",,University of Toronto,True,False,True,True +9158ea57-f5cc-4b89-b386-67964b093cd1,asachdev@qmed.ca,Arushi,Sachdev,https://talenthub.vectorinstitute.ai/profiles/1644620/view_image/SACHDEV011594MD.jpg,"Current MD Candidate at Queen's University, Masters of Biotechnology Graduate at University of Toronto",,5198975689,,,,https://www.linkedin.com/in/arushisachdev/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9158ea57-f5cc-4b89-b386-67964b093cd1/resume,Toronto,Ontario,,Canada,,2020-02-14T16:05:06.057Z,2020-02-14T16:05:06.082Z,False,False,Not Affiliated with Vector,No,Other/Unsure,Ontario,Other/Undetermined,Medical Student at Queen's University,Ms.,https://www.linkedin.com/in/arushisachdev/,,Graduate Degree (Masters),,Currently MD Candidate (Queen's) | Masters of Biotechnology (University of Toronto),"Education, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Type of Work is More Important to me than Sector",Internship,,Queen's University,True,True,True,True 660887ea-1da9-474a-bb71-9d8e9e8d9260,rani.adhaduk@gmail.com,Rani,Adhaduk,https://talenthub.vectorinstitute.ai/profiles/1595027/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-11T04:30:48.287Z,2020-01-11T04:30:48.486Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,,https://www.linkedin.com/in/rani-adhaduk-86a3b6172/,,Graduate Degree (Masters),,,,,,University of Ottawa,True,True,True,True c0e39a7c-ee52-4fc1-b391-5eab6b706e4b,william.ambrozic@gmail.com,William,Ambrozic,https://talenthub.vectorinstitute.ai/profiles/1599696/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-13T23:07:46.586Z,2020-01-13T23:07:46.833Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/william-ambrozic-84aa94135/,,,,,,,,,True,False,True,True 96f4dc6a-9ec4-414a-8fdb-ec17b8da7fd2,evancpfeifer@gmail.com,Evan,Pfeifer,https://talenthub.vectorinstitute.ai/profiles/1597253/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-12T21:49:51.209Z,2020-01-12T21:49:51.350Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/evan-pfeifer/,,,,,,,,,True,False,True,True e565ccae-2f17-4b05-88c9-cdb90a29a1c0,martis.elisha@gmail.com,Elisha,Martis,https://talenthub.vectorinstitute.ai/profiles/1588091/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-07T13:51:01.327Z,2020-01-07T13:51:01.544Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/elisha-martis-210654182/,,Undergraduate Degree (Bachelors),,,,,,,True,True,True,True 772198a8-5502-4599-8541-899db5f612cb,safoora.yousefi1192@gmail.com,Safoora,Yousefi,https://talenthub.vectorinstitute.ai/profiles/1633347/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-02-06T01:06:28.571Z,2020-02-06T01:06:28.780Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/safooray/,,,,,,,,,True,False,True,True fa56561f-cb48-4ca7-972a-92251ccf9675,yufangyi1@gmail.com,Fangyi,Yu,https://talenthub.vectorinstitute.ai/profiles/1594966/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-11T01:17:45.314Z,2020-01-11T01:18:46.572Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/fangyiyu/,,,,,,,,,True,True,True,True -bc14d83d-4e21-4199-89fe-82e3fdb3b239,nitish.kumar1@ontariotechu.net,Nitish,Kumar,https://talenthub.vectorinstitute.ai/profiles/1932128/view_image/IMG_20190922_165931.jpg,Software Developer,Graduate Student - Ontario Tech University | Artificial Intelligence | Machine Learning | Data Science | ex-Accenture,6479014341,,,,https://www.linkedin.com/in/nitishrajput199,,True,False,https://canadaai.jobboard.io/api/v1/profiles/bc14d83d-4e21-4199-89fe-82e3fdb3b239/resume,,Ontario,,Canada,,2020-08-13T19:40:00.777Z,2021-06-04T19:42:07.613Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/nitishrajput199,"Data science, Machine learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Mid-Level (3-5 Years),"Master of Information Technology Security, Artificial Intelligence in Security",Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Contract","Data Analyst, Data Engineer, Machine Learning Engineer, Software Engineer",OntarioTech University,True,True,True,True -fdc6ec0b-078a-4dde-95e9-f62859809160,richardrobinson@rogers.com,Richard,Robinson,https://talenthub.vectorinstitute.ai/profiles/2493602/view_image/Headshot.jpg,"Master of Management Analytics Candidate 2022, Rotman School of Management","Richard Robinson is a mechanical engineering graduate from Queen’s University. He recently became interested in artificial intelligence and machine learning, and is pursuing the Rotman Master of Management Analytics to further his abilities in applications of the subject. He hopes to use this knowledge to transform existing industries with data driven decision making, and ultimately pursue an entrepreneurial venture. In his free time, Richard enjoys sailing, and building mechatronic systems.",4165658292,,,,https://www.linkedin.com/in/richard--robinson,,True,False,https://canadaai.jobboard.io/api/v1/profiles/fdc6ec0b-078a-4dde-95e9-f62859809160/resume,Toronto,Ontario,,Canada,,2021-09-01T20:47:39.207Z,2021-09-22T23:24:19.780Z,False,False,Recognized Masters Program,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/richard--robinson/,"Computer vision, Data science, Deep learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,Type of Work is More Important to me than Sector,Full Time,"Business Analyst/Business Intelligence Analyst , Data Scientist, Machine Learning Engineer",University of Toronto,True,True,True,True -60d7f9f4-9232-47bf-a189-6d211b7a0145,eva23@yorku.ca,Wenhui,Ma,https://talenthub.vectorinstitute.ai/profiles/2515994/view_image/%E8%AF%81%E4%BB%B6%E7%85%A71.jpg,Schulich 22' MMAI,"As a graduate student, I am studying the master's degree program of management in artificial intelligence at Schulich School of Business. Our 12-month full-time program offers me a technical foundation in machine learning, mathematical skills and data analysis with business insight.",15489892648,,,,https://linkedin.com/in/wenhui-ma-96ba47220,,True,False,https://canadaai.jobboard.io/api/v1/profiles/60d7f9f4-9232-47bf-a189-6d211b7a0145/resume,Toronto,Ontario,,Canada,,2021-09-19T20:18:09.069Z,2021-09-20T03:17:30.089Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Miss.,linkedin.com/in/wenhui-ma-96ba47220,"Data science, Deep learning, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Management in Artificial Intelligence,"Professional Services (e.g Consulting), Type of Work is More Important to me than Sector","Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",York University,True,True,True,True -e6d46702-6539-4bf2-a9df-f8e82eed6c00,a.j.stirbi@gmail.com,Alexander,Stirbisky,https://talenthub.vectorinstitute.ai/profiles/2186794/view_image/1583964170051.jpeg,"Data Science and Analytics | Master of Business Analytics (2021), Schulich School of Business","A motivated, detail-oriented graduate from the Schulich School of Business, with expertise in data analytics, statistics, research, and programming. Proficient in Python, R, SAS, SQL, and Microsoft Excel.",,,,,https://www.linkedin.com/in/alexander-stirbisky/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e6d46702-6539-4bf2-a9df-f8e82eed6c00/resume,Toronto,Ontario,,Canada,linkedin,2021-01-11T20:23:14.678Z,2021-09-28T23:19:03.194Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/alexander-stirbisky/,"AI safety, Data science, Fairness, Neuroscience, Privacy, anonymity, and/or security, Recommender systems",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Business Analytics,Type of Work is More Important to me than Sector,Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",York University,True,True,True,True -2e0c0a47-2469-4955-9e1f-8f551b346981,bvanberl@uwaterloo.ca,Blake,VanBerlo,https://talenthub.vectorinstitute.ai/profiles/1932162/view_image/vector_cropped.jpg,Artificial intelligence student and consultant,I am a computer science graduate student at the University of Waterloo with experience and an energetic passion for artificial intelligence. My goals are to participate in core research and develop impactful systems that apply artificial intelligence.,2263741744,,,,https://www.linkedin.com/in/blake-vanberlo-51484676/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2e0c0a47-2469-4955-9e1f-8f551b346981/resume,London,Ontario,,Canada,,2020-08-13T19:40:20.999Z,2020-12-03T17:56:57.327Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/blake-vanberlo-51484676/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Masters of Mathematics (thesis option),"Health, Professional Services (e.g Consulting), Software","Internship, Co-op",,University of Waterloo,True,True,True,True -d8edf402-ecde-4059-9576-553593ee4ef4,hoda213kherad@gmail.com,Hoda,Kheradfallah,https://talenthub.vectorinstitute.ai/profiles/2325959/view_image/1617808936232.jpeg,Master's student at UWaterloo,,2267982028,,https://sites.google.com/view/teellabvengulab/home,,https://www.linkedin.com/in/hoda-kheradfallah-25272b152/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d8edf402-ecde-4059-9576-553593ee4ef4/resume,Waterloo,Ontario,,Canada,linkedin,2021-04-21T13:28:35.169Z,2021-04-21T13:28:35.373Z,False,False,Not Affiliated with Vector,No,Vector Faculty or Faculty Affiliate,,Already Graduated,,Ms.,https://www.linkedin.com/in/hoda-kheradfallah-25272b152/,"Adversarial learning, Anomaly detection, Computer vision, Data science, Deep learning, Healthcare and/or medical imaging, Interpretability, Machine learning, Transfer learning",Graduate Degree (Masters),Mid-Level (3-5 Years),"Vision Science, Systems Design Engineering",,"Full Time, Internship","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Waterloo,True,True,True,True -a56555d5-96fb-463c-9fa8-3d019e78e793,divyansh.verma@rotman.utoronto.ca,Divyansh,Verma,https://talenthub.vectorinstitute.ai/profiles/2504465/view_image/Screenshot_2021-09-23_091640.png,Ex-Data Science Analyst,,+1(437)929-4848,,,,https://www.linkedin.com/in/vdivyansh/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a56555d5-96fb-463c-9fa8-3d019e78e793/resume,Toronto,Ontario,,Canada,,2021-09-10T17:42:49.344Z,2021-09-23T13:04:37.389Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/vdivyansh/,"Data science, Deep learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics (MMA),"Financial Services, Manufacturing , Retail, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Product/Project Manager",University of Toronto,True,True,True,True -717aff19-daff-4bf4-bc37-d84efd13dd4d,morena.java@gmail.com,Mohammadreza,Naderi,https://talenthub.vectorinstitute.ai/profiles/2550305/view_image/1517731369122.jpeg,BSS Solution ,,+989391064614,,,,,,True,False,,,,,,linkedin,2021-10-17T20:19:19.701Z,2021-10-17T20:19:19.886Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,N/A,,Graduate Degree (Masters),Senior Level (5+ Years),pursue my education to Phd,"Health, Telecommunications","Full Time, Contract","Business Analyst/Business Intelligence Analyst , Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,False,True,True -f2f82506-8e8c-4e3f-9187-91c19af65017,amangelbhullar@gmail.com,Amangel,Bhullar,https://talenthub.vectorinstitute.ai/profiles/2706656/view_image/1539586180335.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-02-26T08:11:39.326Z,2022-02-26T08:11:39.734Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/amangelbhullar/,,,,,,,,,True,True,True,True -14fc2117-d419-4f9f-ac4f-2830da6c307a,lubegalyd@gmail.com,FRED,L,https://talenthub.vectorinstitute.ai/profiles/2546569/view_image/1629972064746.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-10-14T12:30:17.739Z,2021-10-14T12:30:17.963Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,True,True,True -81e95ee8-c782-4b36-8965-4468817b734e,kelvinkyam@gmail.com,Kelvin,Yam,https://talenthub.vectorinstitute.ai/profiles/1554076/view_image/0.jpeg,Digital Health Strategist • Pharmacist,"Strategist • Informaticist • Pharmacist -Conscientious, adaptable, and results-oriented Doctor of Pharmacy (University of Waterloo) graduate and Master of Health Informatics (University of Toronto) candidate with management training from Harvard University and diverse experience in health care, strategic design, and digital transformation. -Talented in the synthesis and distillation of complexity using frameworks and thoughtful design. Passionate about system-level impact using technology, policy, and collaborative processes as levers. ",6479289683,,,,https://www.linkedin.com/in/kelvinkyam/,kelvinkyam,True,False,,Toronto,Ontario,,Canada,linkedin,2019-12-05T18:46:40.862Z,2019-12-05T18:46:41.078Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Dr.,https://www.linkedin.com/in/kelvinkyam/,,,,Master of Health Informatics,,"Full Time, Internship, Contract",,University of Toronto,True,True,True,True -50cb36ad-e2d4-4f86-9a42-db586226c608,kaur.jasmeet1708@gmail.com,Jasmeet,Kaur,https://talenthub.vectorinstitute.ai/profiles/1549517/view_image/0.jpeg,Graduate Student - York University - MSc- Computer Science,I have 4+ years of professional experience in software development and research and have a sincere interest in deep learning and AI. I always enjoy challenges and keen to learn new technologies. I believe AI has the power to create a positive impact in various sectors and I want to be a part of it.,4379958562,,https://github.com/jasmeet12,,https://www.linkedin.com/in/jasmeet-kaur-767a4142/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/50cb36ad-e2d4-4f86-9a42-db586226c608/resume,Toronto,Ontario,,Canada,linkedin,2019-12-02T22:42:40.833Z,2021-01-27T00:23:50.500Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,Ontario,Already Graduated,,Mrs.,https://www.linkedin.com/in/jasmeet-kaur-767a4142/,"Deep learning, Healthcare and/or medical imaging, Machine learning, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),MSc ( Computer Science -AI),Type of Work is More Important to me than Sector,"Full Time, Internship",,York University,True,True,True,True -35586403-e9d6-42e4-9c3b-8048abe20a9b,ankit.dhall97@gmail.com,Ankit,Dhall,https://talenthub.vectorinstitute.ai/profiles/1550602/view_image/IMG_20200915_182718.jpg,Aspiring Data Science Professional | Master's in Data Science & Analytics | Delivering Actionable Insights,"A self-motivated, aspiring Data Analyst with a Master’s degree in Data Science and Analytics, who specializes in predictive modelling, data mining, and analytics, and has a strong desire for growth. -Adept at using machine learning, data processing, and data analytics techniques to solve challenging business problems by creating actionable insights. -Detail-oriented professional who is constantly looking for new challenges to further enhance my skills and solve problems using data. -",6478534344,,,,https://www.linkedin.com/in/ankitdhall97/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/35586403-e9d6-42e4-9c3b-8048abe20a9b/resume,Toronto,Ontario,,Canada,linkedin,2019-12-03T15:45:43.828Z,2019-12-05T04:29:32.856Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/ankitdhall97/,"Computer vision, Data science, Deep learning, Healthcare and/or medical imaging, Machine learning, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),Data Science & Analytics,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Telecommunications","Full Time, Internship, Contract",,Ryerson University,True,True,True,True -d30ec282-e554-440f-bfd3-fc72265ffafa,chikeodenigbo@gmail.com,Chike,Odenigbo,https://talenthub.vectorinstitute.ai/profiles/2684694/view_image/Chike_Official_Headshot.jpg,Data Scientist,"Experienced data scientist with experience in NLP, backend development and loyalty marketing",5145702628,,http://chikeodenigbo.com,,https://www.linkedin.com/in/chike-odenigbo/,,True,False,,Montreal,Quebec,,Canada,,2022-02-09T17:46:50.416Z,2022-02-09T20:25:03.221Z,False,False,Connected to Vector Research,Yes,Other/Unsure,Bonaventure,Already Graduated,ITaking the Intro to ML class,Mr.,https://ca.linkedin.com/in/chike-odenigbo,"Data science, Deep learning, Natural language processing, Recommender systems, Reinforcement learning",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),BCom,"Financial Services, Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Transportation",Full Time,"Business Analyst/Business Intelligence Analyst , Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True -e565ccae-2f17-4b05-88c9-cdb90a29a1c0,martis.elisha@gmail.com,Elisha,Martis,https://talenthub.vectorinstitute.ai/profiles/1588091/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-07T13:51:01.327Z,2020-01-07T13:51:01.544Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/elisha-martis-210654182/,,Undergraduate Degree (Bachelors),,,,,,,True,True,True,True -772198a8-5502-4599-8541-899db5f612cb,safoora.yousefi1192@gmail.com,Safoora,Yousefi,https://talenthub.vectorinstitute.ai/profiles/1633347/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-02-06T01:06:28.571Z,2020-02-06T01:06:28.780Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/safooray/,,,,,,,,,True,False,True,True -fa56561f-cb48-4ca7-972a-92251ccf9675,yufangyi1@gmail.com,Fangyi,Yu,https://talenthub.vectorinstitute.ai/profiles/1594966/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-11T01:17:45.314Z,2020-01-11T01:18:46.572Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/fangyiyu/,,,,,,,,,True,True,True,True 4e53411f-415f-4418-8344-f9d284f7313d,daniel.kur15@gmail.com,Daniel,Kur,https://talenthub.vectorinstitute.ai/profiles/1546000/view_image/Daniel_Kur_Headshot.jpg,Applied Research Scientist,I started my career in investment banking working on mergers and acquisitions and currently I'm in tech working on machine learning.,6472927281,,,,https://www.linkedin.com/in/daniel-kur-9379b257,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4e53411f-415f-4418-8344-f9d284f7313d/resume,Toronto,Ontario,,Canada,,2019-12-02T15:44:16.494Z,2022-05-13T20:14:17.298Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/daniel-kur-9379b257,"Deep learning, Generative modeling, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Business Analytics,"Financial Services, Software, Type of Work is More Important to me than Sector",Full Time,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",York University,True,True,True,True e533e442-7225-4a81-bde4-e51b769a9438,euwern1987@gmail.com,EU WERN,TEH,https://talenthub.vectorinstitute.ai/profiles/2546940/view_image/1517473647326.jpeg,Ph.D. Candidate in Machine Learning,"II am a Ph.D. candidate in the School of Engineering at the University of Guelph where I am advised by Prof. Graham Taylor. I received both of my M.Sc. and B.Sc. degree in Computer Science from the University of Manitoba. My research is focused on annotation-efficient learning, a.k.a learning with less label, where I explore ways to survive in a SParsely Annotated Data Environment (SPADE).",,,http://www.euwern.com/,,https://www.linkedin.com/in/euwern/,euwern87,True,False,https://canadaai.jobboard.io/api/v1/profiles/e533e442-7225-4a81-bde4-e51b769a9438/resume,,,,,linkedin,2021-10-14T17:50:31.554Z,2022-03-20T12:00:09.523Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,,Already Graduated,,Mr.,https://www.linkedin.com/in/euwern/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Engineering System and Computing,,Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Guelph,True,True,True,True def95035-0247-4181-824d-00299227337d,cm5vande@uwaterloo.ca,Colin,Vandenhof,https://talenthub.vectorinstitute.ai/profiles/2710933/view_image/1517596761448.jpg,,,,,http://colinvdh.com,,https://www.linkedin.com/in/colin-vandenhof-6461b4119/,,True,False,,,,,,,2022-03-01T20:36:03.214Z,2022-04-11T20:00:23.961Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Pascal Poupart,Already Graduated,,Mr.,https://www.linkedin.com/in/colin-vandenhof-6461b4119/,"AI safety, Deep learning, Reinforcement learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master's of Mathematics,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation",Full Time,"Data Engineer, Machine Learning Engineer, Software Engineer",University of Waterloo,True,False,True,True @@ -653,16 +628,53 @@ Known for excellent interpersonal and communication skills, ability to work effe Proven ability to drive strategic initiatives, implement data-driven solutions, and deliver impactful results, resulting in 3.5% growth in revenue.",4168565077,,https://medium.com/@tetiana.fesenko12,,https://www.linkedin.com/in/tfesenko/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/ff214e05-4f1c-44a5-b79a-d21ff2996b63/resume,Toronto,Ontario,,Canada,,2023-04-08T17:55:33.280Z,2023-06-23T15:02:50.148Z,False,False,Other Vector Programming,Yes,Student or Postdoc of a Vector Faculty Member,Ontario,Already Graduated,,Mrs.,https://www.linkedin.com/in/tfesenko/,,Graduate Degree (Masters),Entry Level (0-2 Years),Aviation Engineering,"Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Product/Project Manager, Other ",Other,True,True,True,True 9c51a1db-d7a0-4965-b123-ec5e0a894a7f,jsromerop@gmail.com,Jesus,Romero,https://talenthub.vectorinstitute.ai/profiles/3518322/view_image/1669395551295.jpeg,,,,,,,https://www.linkedin.com/in/jesusromeropalacio/,,True,False,,,,,,linkedin,2023-06-12T16:00:54.098Z,2023-06-12T16:00:54.444Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/jesusromeropalacio/,,,,,,,,,True,True,True,True 154cb667-5885-4547-ba97-6fe784712b02,zhendong.sha@queensu.ca,Zhendong,Sha,https://talenthub.vectorinstitute.ai/profiles/2504460/view_image/8_bOHY9K_400x400.jpg,Bioinformatician,"Zhendong Sha received the B.Sc. degree from Nanjing University Jinling College, Nanjing, China, in 2013 and the Master degree in Computer Science from the University of New Brunswick, Fredericton, Canada, in 2018. Under the supervision of Drs. Ting Hu and Yuanzhu Chen at Queen’s University, his ongoing Ph.D. research covers developing novel feature selection methods for high-dimensional genetic data with an emphasis on gene-gene interaction and genetic heterogeneity.",,,,,https://www.linkedin.com/in/zhendongsha/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/154cb667-5885-4547-ba97-6fe784712b02/resume,Kingston,Ontario,,Canada,,2021-09-10T17:42:47.817Z,2023-06-06T00:53:03.322Z,True,True,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Dr. Ting Hu,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/zh%C4%93nd%C3%B2ng-sh%C4%81-49383688/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer science - computational genetics,"Education, Health, Technology (Information and Media)","Full Time, Internship","Data Analyst, Data Scientist, Machine Learning Engineer",Queen's University,True,True,True,True -c4674d88-f260-4b3f-9d34-c54784d49e9a,cjakub@uoguelph.ca,Cameron,Jakub,https://talenthub.vectorinstitute.ai/profiles/2967327/view_image/1661266187572.jpeg,MSc Mathematics & AI Student at University of Guelph,"I am currently completing a Master's degree in applied mathematics with specialization in artificial intelligence at the University of Guelph. My research is supported by the Vector Scholarship in Artificial Intelligence, provided through the Vector Institute. My studies focus on using mathematical and statistical tools to better understand the behaviour of deep neural networks upon initialization. I also love to teach mathematics, and have gained lots of teaching experience through TA positions and tutoring jobs.",2267507926,,https://camjakub.ca,,https://www.linkedin.com/in/cameronjakub/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/c4674d88-f260-4b3f-9d34-c54784d49e9a/resume,Guelph,Ontario,,Canada,linkedin,2022-08-23T17:58:29.582Z,2023-06-28T16:16:38.832Z,True,True,Recognized Masters Program,Yes,Vector Scholarship Recipient,Mihai Nica,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/cameronjakub/,"Computer vision, Deep learning, Statistical learning theory",Graduate Degree (Masters),Entry Level (0-2 Years),Applied Mathematics with Collaborative Specialization in AI,"Education, Health, Software, Technology (Information and Media), Technology (Product Development), Transportation",Full Time,"Data Analyst, Data Scientist, Machine Learning Researcher/Scientist , Other ",University of Guelph,True,True,True,True +54cad1cf-79c4-427f-814c-a96a6ddb80ae,sigengchen.ca@gmail.com,Sigeng,Chen,https://talenthub.vectorinstitute.ai/profiles/3525529/view_image/1673130430240.jpeg,"Ph.D. Candidate, Experienced Researcher",,5194977426,,,,https://www.linkedin.com/in/sigeng-chen-49b092126/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/54cad1cf-79c4-427f-814c-a96a6ddb80ae/resume,Richmond Hill,Ontario,,Canada,linkedin,2023-06-15T08:06:15.446Z,2023-06-15T08:12:23.253Z,True,True,Unaffiliated PhD Graduate/Candidate,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/sigeng-chen-49b092126/,"Bayesian methods, Machine learning, Optimization",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Statistics,"Technology (Information and Media), Technology (Product Development)",Full Time,"Data Scientist, Machine Learning Researcher/Scientist , Other ",University of Toronto,True,True,True,True +b0ee2a3a-7251-4926-85a9-88031da9a399,cansu.ekmekcioglu@mail.utoronto.ca,Cansu,Ekmekcioglu,https://talenthub.vectorinstitute.ai/profiles/3365509/view_image/Screen_Shot_2023-03-13_at_2.22.59_PM.png,,Researcher at University of Toronto,4168790370,,,,https://www.linkedin.com/in/cansu-ekmekcioglu/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/b0ee2a3a-7251-4926-85a9-88031da9a399/resume,Toronto,Ontario,,Canada,,2023-03-31T15:41:40.425Z,2023-04-24T20:57:50.577Z,True,False,Other Vector Programming,Yes,Other Vector Programming,on,Winter 2024 (December 2023 - March 2024),Machine Learning & Caregivers,Mrs.,https://www.linkedin.com/in/cansu-ekmekcioglu/,"Data science, Fairness, Law, ethics and policy, Machine learning, Wearable technology and/or Internet of Things",Postgraduate Degree (PhD),Senior Level (5+ Years),Information Science,,"Full Time, Contract, Capstone Project","Data Analyst, Data Scientist, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +7331bf42-4a0d-4514-9b91-b2a93423d86f,my.d.tran@mail.mcgill.ca,My Duc,Tran,https://talenthub.vectorinstitute.ai/profiles/2517085/view_image/1618284335595.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-09-20T15:28:53.154Z,2022-09-22T00:38:45.549Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/my-duc-tran-1909/,,,,,,,,,True,True,True,True d29b4f83-17df-4853-9a78-c9575d0e5e43,sidyakinian@gmail.com,Yan,Sidyakin,https://talenthub.vectorinstitute.ai/profiles/3463604/view_image/1668569794477.jpeg,Applied machine learning intern @ Vector Institute,"I'm super-interested in AI, mostly in the fields of NLP, RL, but also open to other areas!",+1 236 992 0851,,,,https://www.linkedin.com/in/sidyakinian/,sidyakinian,False,False,https://canadaai.jobboard.io/api/v1/profiles/d29b4f83-17df-4853-9a78-c9575d0e5e43/resume,Toronto,Ontario,,Canada,linkedin,2023-05-18T15:51:41.158Z,2023-05-18T15:51:41.640Z,True,True,Other Vector Programming,Yes,Other Vector Programming,,Spring/Summer 2024 (April - July),Applied machine learning intern,Mr.,https://www.linkedin.com/in/sidyakinian/,"Deep learning, Interpretability, Natural language processing",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Mathematics,"Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,False,True,True ae2c9443-7fba-407e-affb-8131f1a677de,mohammadahmedbasri@gmail.com,Mohammad,Ahmed Basri,https://talenthub.vectorinstitute.ai/profiles/3238017/view_image/1670380008891.jpeg,,,,,,,https://www.linkedin.com/in/mohammad-ahmed-basri-24ba1210b/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/ae2c9443-7fba-407e-affb-8131f1a677de/resume,,,,,linkedin,2023-01-24T00:26:11.729Z,2023-06-19T19:40:13.995Z,True,False,Other Vector Programming,Yes,Other Vector Programming,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/mohammad-ahmed-basri-24ba1210b/?originalSubdomain=in,"Computer vision, Deep learning, Healthcare and/or medical imaging, Time-series forecasting and modelling",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),MASc in System Design Engineering,"Education, Financial Services, Health, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development), Transportation","Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",University of Waterloo,True,True,True,True +d1bb9661-edc5-4f97-9bcb-bd4ef429aaf4,mahdi.gilany@queensu.ca,Mahdi,Gilany,https://talenthub.vectorinstitute.ai/profiles/3010854/view_image/photo_2022-.jpg,PhD Candidate Expert in Deep Learning for Medical Imaging and Probabilistic (Bayesian) Modeling,"Mahdi Gilany is a PhD candidate with extensive experience in both the theoretical aspects of deep learning and its practical applications. His primary research focuses on developing deep learning models for diagnosing prostate cancer on ultrasound images, and has published in top venues such as Neurips. He has experience addressing challenges such as low labeled-data regimes, weak labeling, and prediction uncertainty in the medical imaging domain. In addition to this research, Mahdi has also worked on developing deep learning models from a probabilistic view, and has experience with projects involving probabilistic neural model inference and probabilistic continual learning. He has a strong background in programming languages such as Python, MATLAB, and C/C++, and has experience teaching as well. + +This paragraph was created by chatGPT, a large language model trained by OpenAI :).",3435808175,,https://mahdigilany.github.io/,,https://www.linkedin.com/in/mohammadmahdigilani/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d1bb9661-edc5-4f97-9bcb-bd4ef429aaf4/resume,,Ontario,,Canada,,2022-09-20T15:14:06.510Z,2023-01-03T15:30:34.580Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,ON,Fall 2024 (August - November),,Mr.,https://www.linkedin.com/in/mohammadmahdigilani/,"Bayesian methods, Computer vision, Deep learning, Healthcare and/or medical imaging, Self-supervised learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science,"Health, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Internship, Co-op","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True +cb4c8236-ab8c-483f-a43c-121933096aab,duncan.forster@mail.utoronto.ca,Duncan,Forster,https://talenthub.vectorinstitute.ai/profiles/3164317/view_image/1660319349082.jpeg,PhD candidate studying approaches to biological network integration using deep learning. ,"I am a soon-to-graduate PhD student at the University of Toronto. My thesis work is to design, implement and validate a new approach to biological network integration for the purpose of identifying new subsystems of genes and proteins in the cell, thereby improving their functional characterization. I have implemented a state-of-the-art deep learning network integration algorithm called BIONIC which has been published in Nature Methods. + +My interests are broad, ranging from pure machine learning research (with an emphasis on graph neural networks, neural network architecture design and reinforcement learning), to applied deep learning algorithm design and open problems in computational biology and genomics (with a focus on in silico cellular modeling). I have a strong background in mathematics and computer science as well as an appreciation for the challenges of applying machine learning models to real world data. + +If you are interested in my skill set or research, please feel free to reach out! ",9059201951,,,,https://www.linkedin.com/in/duncan-forster-938601230,,True,False,https://canadaai.jobboard.io/api/v1/profiles/cb4c8236-ab8c-483f-a43c-121933096aab/resume,Hamilton,Ontario,,Canada,linkedin,2022-12-03T20:55:21.892Z,2022-12-07T15:19:28.851Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other Vector Programming,Bo Wang,Winter 2023 (December 2022 - March 2023),"I work closely with Vector Faculty member Bo Wang (collaborator), use the Vector compute resources extensively, and have published under the Vector Institute affiliation.",Mr.,https://www.linkedin.com/in/duncan-forster-938601230/,"Computational biology, Deep learning, Reinforcement learning",Postgraduate Degree (PhD),Senior Level (5+ Years),Quantitative Biology in Molecular Genetics,"Health, Software, Technology (Product Development)",Full Time,"Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +13c7238e-75b8-46c1-834f-563cf7c60ad0,kasuamahermann@yahoo.fr,Hermann Pakinzi,Kasuama,https://talenthub.vectorinstitute.ai/profiles/3198716/view_image/photo_passport_herkas.jpg,,"• Etudiant inscris en Master ès Science, Finance appliquée à l’ESG UQUAM en session d’hiver 2023 +• Diplôme de licence (Bac+5) en Sciences Economiques et de Gestion option : Gestion Financière, équivalent au baccalauréat québécois (Equivalence faite par le MIFI) +• Bonne maitrise de l’analyse des états financiers +• Langues : Français : Parfait/ Anglais : Débutant (formation en anglais en cours) +CONNAISSANCES INFORMATIQUES +• Maitrise du logiciel financier SAP ERP +• Maitrise des logiciels Comptable SAGE Compta Ligne 100 et Quick book +• Maitrise de l’outil informatique Microsoft Office (Outlook, Word, Excel, Power point, etc. +• Maitrise du logiciel statistique et économétrique E-Views +",438-830-1850,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/13c7238e-75b8-46c1-834f-563cf7c60ad0/resume,Montreal,Quebec,,Canada,,2022-12-29T03:37:55.106Z,2022-12-29T03:37:55.145Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,Master en Finance Appliquée,Winter 2024 (December 2023 - March 2024),Étudiant inscris en Master en Finance Appliquée à l'UQAM,Mr.,N/A,"Data science, Deep learning, Generative modeling",Undergraduate Degree (Bachelors),Senior Level (5+ Years),Gestion financière,Financial Services,"Full Time, Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Other ",Other,True,False,True,True +57da3a35-8c69-4b0c-a584-d3470a7b24e6,phataka@lakeheadu.ca,Atharva ,Phatak,https://talenthub.vectorinstitute.ai/profiles/3134260/view_image/Beige_Polaroid_Quote_Flowers_Instagram_Post.png,,,+1-807-355-8351,,https://atharva-phatak.netlify.app/,,https://www.linkedin.com/in/atharva-phatak/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/57da3a35-8c69-4b0c-a584-d3470a7b24e6/resume,Thunder Bay,Ontario,,Canada,,2022-11-13T18:51:21.357Z,2023-01-06T13:50:09.501Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Dr Vijay Mago,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/atharva-phatak/,"Computer vision, Data science, Deep learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Lakehead University,True,True,True,True +19636865-e177-467b-86bd-f2898b063c69,heratha@uwindsor.ca,Achini,Herath,https://talenthub.vectorinstitute.ai/profiles/3010839/view_image/19693575_1362321243815408_4067116530327271123_o.jpg,Postgraduate Student,,,,,,,,True,False,,Windsor,Ontario,,Canada,,2022-09-20T15:13:46.907Z,2022-09-21T19:33:45.609Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,University of Windsor,Winter 2024 (December 2023 - March 2024),,Miss.,https://www.linkedin.com/in/achiniherath/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science Engineering,"Education, Financial Services, Health, Software","Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Windsor,True,True,True,True +fdfb73e3-e83d-4c93-9b22-a4da7ccf53fd,hkndoga@gmail.com,Hakan,Doga,https://talenthub.vectorinstitute.ai/profiles/3181883/view_image/1620154114390.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-12-15T20:20:44.023Z,2022-12-15T20:20:44.354Z,False,False,Not Affiliated with Vector,No,,,,,,,,,,,,,,,True,False,True,True +e5ff0243-defd-47c2-a80d-34b97aff97e1,ebrahim.pichka@gmail.com,Ebrahim,Pichka,https://talenthub.vectorinstitute.ai/profiles/2981266/view_image/1661994879199.jpeg,Machine Learning Specialist,"I'm a machine learning enthusiast/researcher. I like to design, train and analyze algorithms that can learn autonomously. I have a strong background in machine learning, deep learning, and reinforcement learning. + +I am passionate about solving complex problems with artificial intelligence, whether they are in applied areas such as healthcare, finance, and supply chain, or in fundamental areas such as optimization techniques and new learning methods, and model architectures.",2269616480,,https://github.com/ebrahimpichka,,https://www.linkedin.com/in/ebrahim-pichka/,ebrahimpka,True,False,https://canadaai.jobboard.io/api/v1/profiles/e5ff0243-defd-47c2-a80d-34b97aff97e1/resume,Windsor,Ontario,,Canada,linkedin,2022-09-01T01:21:18.112Z,2023-01-07T09:28:42.275Z,False,False,Not Affiliated with Vector,No,Unsure,,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/ebrahim-pichka/,"Deep learning, Generative modeling, Machine learning, Meta-learning, Natural language processing, Optimization, Reinforcement learning",Graduate Degree (Masters),Entry Level (0-2 Years),Industrial Engineering,"Financial Services, Health, Manufacturing , Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation",Internship,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",University of Windsor,True,True,True,True +e5c295d5-fac5-40f8-bddf-00a6842b91ab,charmichokshi@gmail.com,Charmi,Chokshi,https://talenthub.vectorinstitute.ai/profiles/2971248/view_image/1592903002402.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-08-25T21:15:34.335Z,2022-08-25T21:15:35.026Z,False,False,Connected to Another AI Institute,Yes,,,,,,https://www.linkedin.com/in/charmichokshi/,,,,,,,,,True,False,True,True 0b50d04c-a993-454e-9349-96b98c8d3f04,bardia.esm@gmail.com,Bardia,Esmaeili,https://talenthub.vectorinstitute.ai/profiles/2504521/view_image/IMG_0128.jpg,PhD student in Computer Science,"I have experience working with Generative models for frame prediction, human posture estimation models, adversarial machine learning, Graph Neural Networks and language models such as BERT. -Currently my research is focused on the intersection of Adversarial Machine Learning, Anomaly Detection and Malware classification. ",6472012863,,,,https://www.linkedin.com/in/bardiaesmaeili,EsmaeiliBardia,False,False,https://canadaai.jobboard.io/api/v1/profiles/0b50d04c-a993-454e-9349-96b98c8d3f04/resume,Toronto,Ontario,,Canada,,2021-09-10T17:43:00.415Z,2022-01-14T18:57:14.992Z,True,False,Recognized Masters Program,Yes,Student or Postdoc of a Vector Faculty Member,James Elder,Other/Undetermined,,Mr.,https://www.linkedin.com/in/bardiaesmaeili/,"Computer vision, Deep learning, Representation learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science,Type of Work is More Important to me than Sector,Internship,Machine Learning Researcher/Scientist ,York University,True,True,True,True -79af5cd4-ced3-42b3-bbe2-bd1ab41fd20e,ssolta7@uwo.ca,Sareh,Soltani Nejad,https://talenthub.vectorinstitute.ai/profiles/3010846/view_image/sare.jpg,,"i am a second year master student of Computer Science at Western University. Currently, I am working on Implementing an Anomaly Detection in Drone-Captured Surveillance Videos as my thesis. My research interests broadly focus on Machine Learning, Internet of Things, and the emerging areas between these fields. Specifically, I am passionate about the applications of Machine learning and Internet of Things in Healthcare and Smart Cities. ",4165282560,,,,https://www.linkedin.com/in/sarehsoltani96/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/79af5cd4-ced3-42b3-bbe2-bd1ab41fd20e/resume,Toronto,Ontario,,Canada,,2022-09-20T15:13:53.447Z,2023-04-06T22:35:08.942Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Miss.,https://www.linkedin.com/in/sarehsoltani96/,"Anomaly detection, Machine learning, Unsupervised learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Health, Software, Technology (Product Development)","Full Time, Internship, Co-op","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Western University,True,True,True,True +Currently my research is focused on the intersection of Adversarial Machine Learning, Anomaly Detection and Malware classification. ",6472012863,,,,https://www.linkedin.com/in/bardiaesmaeili,EsmaeiliBardia,True,False,https://canadaai.jobboard.io/api/v1/profiles/0b50d04c-a993-454e-9349-96b98c8d3f04/resume,Toronto,Ontario,,Canada,,2021-09-10T17:43:00.415Z,2022-01-14T18:57:14.992Z,False,False,Recognized Masters Program,Yes,Student or Postdoc of a Vector Faculty Member,James Elder,Other/Undetermined,,Mr.,https://www.linkedin.com/in/bardiaesmaeili/,"Computer vision, Deep learning, Representation learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science,Type of Work is More Important to me than Sector,Internship,Machine Learning Researcher/Scientist ,York University,True,True,True,True +bd137be3-0979-47ea-89f0-401be09173ea,rittwick.dutta@gmail.com,Ritwick,Dutta,https://talenthub.vectorinstitute.ai/profiles/3581711/view_image/1581997743241.jpeg,A hands-on technical leader with a track record of building high-performance data science teams.,"I'm a passionate and highly experienced leader of AI/ML initiatives, with 11 years of experience in advanced analytics and predictive modelling. As an experienced technical leader, I have a successful track record in building high-performance large data science teams across a variety of industries, such as telecommunications, hedge funds, publishing, and e-learning/education. My main focus is to improve customer experience through AI/ML, and I'm always looking for creative ways to make a difference in this field.",6472486485,,,,https://www.linkedin.com/in/ritwickdutta/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/bd137be3-0979-47ea-89f0-401be09173ea/resume,Toronto,Ontario,,Canada,linkedin,2023-07-06T14:49:22.232Z,2023-07-06T14:49:22.611Z,True,False,Not Affiliated with Vector,No,Other Vector Programming,ON,Already Graduated,,Mr.,https://www.linkedin.com/in/ritwickdutta/,,Graduate Degree (Masters),Senior Level (5+ Years),Statistics,"Financial Services, Health, Professional Services (e.g Consulting), Retail, Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",Other,True,True,True,True +f2bf0536-617a-4734-97da-40ae9be26d7b,alihaidergov@icloud.com,Ali haider,Govani,https://talenthub.vectorinstitute.ai/profiles/3579745/view_image/1650580301120.jpeg,,,,,,,https://www.linkedin.com/in/imalihaider/,,False,False,,,,,,linkedin,2023-07-05T23:27:01.629Z,2023-07-05T23:27:02.038Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/imalihaider/,,,,,,,,,True,False,True,True +79af5cd4-ced3-42b3-bbe2-bd1ab41fd20e,ssolta7@uwo.ca,Sareh,Soltani Nejad,https://talenthub.vectorinstitute.ai/profiles/3010846/view_image/sare.jpg,,"i am a second year master student of Computer Science at Western University. Currently, I am working on Implementing an Anomaly Detection in Drone-Captured Surveillance Videos as my thesis. My research interests broadly focus on Machine Learning, Internet of Things, and the emerging areas between these fields. Specifically, I am passionate about the applications of Machine learning and Internet of Things in Healthcare and Smart Cities. ",4165282560,,,,https://www.linkedin.com/in/sarehsoltani96/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/79af5cd4-ced3-42b3-bbe2-bd1ab41fd20e/resume,Toronto,Ontario,,Canada,,2022-09-20T15:13:53.447Z,2023-06-25T07:49:23.359Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Miss.,https://www.linkedin.com/in/sarehsoltani96/,"Anomaly detection, Machine learning, Unsupervised learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Health, Software, Technology (Product Development)","Full Time, Internship, Co-op","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Western University,True,True,True,True b676ddfc-75c9-425e-beab-02030f89402e,zhaochuwang@gmail.com,Stacey,Wang,https://talenthub.vectorinstitute.ai/profiles/3558533/view_image/1623170994431.jpeg,,,,,,,https://www.linkedin.com/in/stacey-wang-88a3a5137/,,True,False,,,,,,linkedin,2023-06-27T21:13:03.736Z,2023-06-27T21:13:04.124Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/stacey-wang-88a3a5137/,,,,,,,,,True,False,True,True 218857a7-acef-425c-bc39-da1e86ab46ef,mehjabin.rahman@torontomu.ca,Mehjabin,Rahman,https://talenthub.vectorinstitute.ai/profiles/3542218/view_image/mehjabin_pic.jpeg,,,,,,,https://www.linkedin.com/in/mehjabin-rahman/,,False,False,,,Ontario,,Canada,,2023-06-21T15:29:02.575Z,2023-06-30T14:23:25.788Z,True,False,Connected to Another AI Institute,Yes,Unsure,AI4GoodLab,Winter 2024 (December 2023 - March 2024),AI4Good Lab alumni,Mrs.,https://www.linkedin.com/in/mehjabin-rahman/,"Data science, Deep learning, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Education, Health, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract","Data Analyst, Data Scientist, Machine Learning Researcher/Scientist ",Ryerson University,True,True,True,True -6be67491-dbe7-4a88-858e-e95d61f5c58b,aghaffar@uwaterloo.ca,Alireza,Ghaffartehrani,https://talenthub.vectorinstitute.ai/profiles/3011245/view_image/Alireza_Ghaffartehrani_420.540.jpg,,,+12266988126,,,,https://www.linkedin.com/in/alireza-ghaffartehrani-4237861b2/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/6be67491-dbe7-4a88-858e-e95d61f5c58b/resume,Waterloo,Ontario,,Canada,,2022-09-20T19:13:49.080Z,2023-07-02T00:45:31.332Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mr.,N/A,"Adversarial learning, AI safety, Bioinformatics, Data science, Deep learning, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Data Science,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Internship,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",University of Waterloo,True,True,True,True -54cad1cf-79c4-427f-814c-a96a6ddb80ae,sigengchen.ca@gmail.com,Sigeng,Chen,https://talenthub.vectorinstitute.ai/profiles/3525529/view_image/1673130430240.jpeg,"Ph.D. Candidate, Experienced Researcher",,5194977426,,,,https://www.linkedin.com/in/sigeng-chen-49b092126/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/54cad1cf-79c4-427f-814c-a96a6ddb80ae/resume,Richmond Hill,Ontario,,Canada,linkedin,2023-06-15T08:06:15.446Z,2023-06-15T08:12:23.253Z,True,True,Unaffiliated PhD Graduate/Candidate,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/sigeng-chen-49b092126/,"Bayesian methods, Machine learning, Optimization",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Statistics,"Technology (Information and Media), Technology (Product Development)",Full Time,"Data Scientist, Machine Learning Researcher/Scientist , Other ",University of Toronto,True,True,True,True +9a85a8a3-3beb-4288-9d00-e86b335ef49d,rdivigal@uwo.ca,Ryan,Divigalpitiya,https://talenthub.vectorinstitute.ai/profiles/2124484/view_image/Ryan_Photo_Vignette__PDF_Optimized__2.jpeg,Master's Candidate,"I am a Computer Science Master’s student specializing in artificial intelligence. My research focuses on Large Language Models (LLMs), where my task is to develop interpretability techniques to assess how LLMs capture the meaning of words from highly unique vocabularies, such as slang and jargon found on social media and industry-specific terms found in various industries. + +I have co-founded two startups, one of which is a successful company. For my second startup, I built a prototype energy management system powered by a convolutional neural network that could reduce the energy consumption of a home by 50%. I thoroughly enjoy solving real-world, industry-related problems, as my extensive startup history demonstrates. + +During my time interning at Vector Institute, I helped coordinate a complex AI project involving engineering teams from 6 financial institutions: BMO, CIBC, Scotiabank, TD, RBC, and Manulife. I gained a multitude of experience working with a diverse team of stakeholders, ranging from ML Engineers to Project Managers and Directors.",5196393253,,https://www.ryan-div.com,,http://www.linkedin.com/in/ryan-div,,False,False,https://canadaai.jobboard.io/api/v1/profiles/9a85a8a3-3beb-4288-9d00-e86b335ef49d/resume,London,Ontario,,Canada,,2020-11-06T15:01:24.902Z,2023-06-08T18:34:12.674Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,http://www.linkedin.com/in/ryan-div,"Computer vision, Data science, Deep learning, Machine learning, Natural language processing, Physics, Robotics, Time-series forecasting and modelling, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),"Masters in Computer Science, Collaborative Specialization in Artificial Intelligence","Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Internship, Co-op, Contract","Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Western University,True,True,True,True +6be67491-dbe7-4a88-858e-e95d61f5c58b,aghaffar@uwaterloo.ca,Alireza,Ghaffartehrani,https://talenthub.vectorinstitute.ai/profiles/3011245/view_image/Alireza_Ghaffartehrani_420.540.jpg,,,+12266988126,,,,https://www.linkedin.com/in/alireza-ghaffartehrani-4237861b2/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/6be67491-dbe7-4a88-858e-e95d61f5c58b/resume,Waterloo,Ontario,,Canada,,2022-09-20T19:13:49.080Z,2023-07-14T00:37:35.059Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mr.,N/A,"Adversarial learning, AI safety, Bioinformatics, Data science, Deep learning, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Data Science,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Internship,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",University of Waterloo,True,True,True,True +36c49997-1cac-440f-ab1d-f69b19e0c17e,desaimayur35@gmail.com,Mayur,Desai,https://talenthub.vectorinstitute.ai/profiles/3239611/view_image/1644589298964.jpeg,,,,,,,,,False,False,,,,,,linkedin,2023-01-24T18:19:58.744Z,2023-01-28T04:30:56.486Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/mayur-desai-1ab224126/,,,,,,,,,True,True,True,True +c4674d88-f260-4b3f-9d34-c54784d49e9a,cjakub@uoguelph.ca,Cameron,Jakub,https://talenthub.vectorinstitute.ai/profiles/2967327/view_image/1661266187572.jpeg,MSc Mathematics & AI Student at University of Guelph,"I am currently completing a Master's degree in applied mathematics with specialization in artificial intelligence at the University of Guelph. My research is supported by the Vector Scholarship in Artificial Intelligence, provided through the Vector Institute. My studies focus on using mathematical and statistical tools to better understand the behaviour of deep neural networks upon initialization. I also love to teach mathematics, and have gained lots of teaching experience through TA positions and tutoring jobs.",2267507926,,https://camjakub.ca,,https://www.linkedin.com/in/cameronjakub/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/c4674d88-f260-4b3f-9d34-c54784d49e9a/resume,Guelph,Ontario,,Canada,linkedin,2022-08-23T17:58:29.582Z,2023-07-10T14:54:10.605Z,True,True,Recognized Masters Program,Yes,Vector Scholarship Recipient,Mihai Nica,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/cameronjakub/,"Computer vision, Deep learning, Statistical learning theory",Graduate Degree (Masters),Entry Level (0-2 Years),Applied Mathematics with Collaborative Specialization in AI,"Education, Health, Software, Technology (Information and Media), Technology (Product Development), Transportation",Full Time,"Data Analyst, Data Scientist, Machine Learning Researcher/Scientist , Other ",University of Guelph,True,True,True,True +f8c0d6ae-ec0c-4abb-8df7-9450524bcb31,haizhuolaojisite@gmail.com,Yixuan (Jessica),Zhou,https://talenthub.vectorinstitute.ai/profiles/3588871/view_image/1676826958136.jpeg,,,,,,,https://www.linkedin.com/in/yixuan-zhou/,,True,False,,,,,,linkedin,2023-07-09T21:21:03.912Z,2023-07-09T21:21:04.298Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/yixuan-zhou/,,,,,,,,,True,True,True,True +de368298-866e-436e-813f-73956b496050,asubrahmanyam1999@gmail.com,Subrahmanyam,Arunachalam,https://talenthub.vectorinstitute.ai/profiles/3608548/view_image/1517821534537.jpeg,,,,,,,https://www.linkedin.com/in/subrahmanyam-a/,,True,False,,,,,,linkedin,2023-07-17T04:16:00.326Z,2023-07-17T04:16:00.696Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/subrahmanyam-a/,,,,,,,,,True,True,True,True c4e405e1-1c49-47f5-ba32-9ee46be3e1df,mbaxi@lakeheadu.ca,Manmeet Kaur,Baxi,https://talenthub.vectorinstitute.ai/profiles/2168811/view_image/small-pic.png,Driving complex data analyses and delivering actionable insights at Scotiabank | LakeheadU CS Grad (AI),"👩‍💻As a Data Scientist at Scotiabank, I focus on improving our AML/ATF name-screening model using natural language processing techniques. With a Master's of Science in Computer Science, specializing in Artificial Intelligence, and a strong background in data science and natural language processing, I have the skills and experience needed to drive complex analyses on massive datasets and deliver actionable insights to stakeholders. 🪄I am passionate about using my computational social sciences expertise to understand better how social media platforms influence public opinion. In my previous roles, I excelled at creating dashboards, data models, and reports, and I have a track record of delivering successful projects. @@ -671,16 +683,12 @@ c4e405e1-1c49-47f5-ba32-9ee46be3e1df,mbaxi@lakeheadu.ca,Manmeet Kaur,Baxi,https: 🤹Competencies: Data Science, Machine Learning, Natural Language Processing, Python, Big Data Analytics, Software Development, C++, Data Structures and Algorithms, HTML, CSS, Databases (SQL, Firebase), GitHub -🌐For more information, visit my personal website at https://manmeetkaurbaxi.com",8073584043,,https://manmeetkaurbaxi.com,,https://www.linkedin.com/in/manmeetkaurbaxi/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/c4e405e1-1c49-47f5-ba32-9ee46be3e1df/resume,Brampton,Ontario,,Canada,,2020-12-21T15:12:31.501Z,2023-07-03T00:26:59.890Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Fall 2022 (August - November),,Miss.,https://www.linkedin.com/in/manmeetkaurbaxi/,"AI safety, Data science, Deep learning, Fairness, Few-shot learning, Generative modeling, Interpretability, Machine learning, Natural language processing, Recommender systems, Time-series forecasting and modelling, Transfer learning",Graduate Degree (Masters),Mid-Level (3-5 Years),"M.Sc (Computer Science, Specialization in AI-Thesis)","Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Lakehead University,True,True,True,True +🌐For more information, visit my personal website at https://manmeetkaurbaxi.com",8073584043,,https://manmeetkaurbaxi.com,,https://www.linkedin.com/in/manmeetkaurbaxi/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/c4e405e1-1c49-47f5-ba32-9ee46be3e1df/resume,Brampton,Ontario,,Canada,,2020-12-21T15:12:31.501Z,2023-07-15T19:54:13.927Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Fall 2022 (August - November),,Miss.,https://www.linkedin.com/in/manmeetkaurbaxi/,"AI safety, Data science, Deep learning, Fairness, Few-shot learning, Generative modeling, Interpretability, Machine learning, Natural language processing, Recommender systems, Time-series forecasting and modelling, Transfer learning",Graduate Degree (Masters),Mid-Level (3-5 Years),"M.Sc (Computer Science, Specialization in AI-Thesis)","Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Lakehead University,True,True,True,True 93115173-d071-4198-b618-421f1d046c37,1142084719@qq.com,Chen,Sun,https://talenthub.vectorinstitute.ai/profiles/3168469/view_image/1601109345784.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-12-06T21:02:42.406Z,2022-12-06T21:02:42.779Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/chen-sun-79671b134/,,,,,,,,,True,True,True,True 98601341-093a-4497-8376-2239f173e4ec,bmshah159@gmail.com,Bhumi,Shah,https://talenthub.vectorinstitute.ai/profiles/3168656/view_image/1620657592753.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-12-07T01:41:18.093Z,2022-12-07T01:41:18.476Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/bhumi-m-shah/,,,,,,,,,True,True,True,True 58b9cd76-bdf1-489b-83fd-a675e281c623,bmshan@icloud.com,Madhushan,Buwaneswaran,https://talenthub.vectorinstitute.ai/profiles/3223278/view_image/1623220014897.jpeg,Machine Learning Engineer,"A passionate Computer Vision and ML research enthusiast with a passion for solving open computer vision and ML problems, having experience in vision algorithms, machine learning, deep learning, cloud technologies, and team management.",+14372569911,,,,https://www.linkedin.com/in/bmshan/,bmsknight,False,False,https://canadaai.jobboard.io/api/v1/profiles/58b9cd76-bdf1-489b-83fd-a675e281c623/resume,London,Ontario,,Canada,linkedin,2023-01-14T23:28:18.603Z,2023-01-14T23:28:19.019Z,True,True,,,Vector Scholarship Recipient,,Spring/Summer 2024 (April - July),,Mr.,,"Anomaly detection, Computer vision, Generative modeling",Graduate Degree (Masters),Mid-Level (3-5 Years),MESc in Electrical and Computer Engineering,"Education, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Western University,True,True,True,True -0bd38314-035c-420a-b6b5-24756dff8e56,swadhin.routray@gmail.com,Swadhin,Routray,https://talenthub.vectorinstitute.ai/profiles/3172169/view_image/1668878231342.jpeg,Privacy Engineering Grad at Carnegie Mellon University," I’m Swadhin, a Privacy Engineering Grad student at Carnegie Mellon University. - -I’m currently looking for Privacy Engineering Summer’23 Internship and have an inclination toward Differential Privacy and Synthetic Data and I would love to learn and contribute in this space!",+1 4123104303,,,,https://www.linkedin.com/in/swadhin-routray-ba20ab125/,routrayswadhin,False,False,,,,,,linkedin,2022-12-09T05:37:37.756Z,2022-12-09T05:37:38.701Z,True,True,Not Affiliated with Vector,No,Unsure,,Winter 2024 (December 2023 - March 2024),"I'm a Privacy Engineering Student at CMU, and would like to explore opportunities in the cross section of Privacy and AI.",Mr.,https://www.linkedin.com/in/swadhin-routray-ba20ab125/,"Law, ethics and policy, Machine learning, Privacy, anonymity, and/or security",Graduate Degree (Masters),Entry Level (0-2 Years),Privacy Engineering,,"Full Time, Internship","Software Engineer, Other ",Other,True,True,True,True -57448b23-d421-443f-b030-2c393e28940b,sj.pakdaman.edu@gmail.com,Sajjad,Pakdaman Savoji,https://talenthub.vectorinstitute.ai/profiles/2451060/view_image/IMG_1110__1_.png,"Vector Scholar in AI / Grad RA @ {VISTA, YorkU}","Passionate and self-motivated scientist, working towards a graduate degree through the EECS department at YorkU, with experience and interest in deep learning, machine learning, and data science.",+16478356679,,https://sajjadpsavoji.github.io,,https://www.linkedin.com/in/sajjad-pakdaman-savoji-9672221b6/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/57448b23-d421-443f-b030-2c393e28940b/resume,Toronto,Ontario,,Canada,linkedin,2021-07-29T06:28:21.108Z,2022-12-13T18:57:35.088Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,Professor James Elder,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/sajjad-pakdaman-savoji-9672221b6/,"Computer vision, Deep learning, Generative modeling, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Education, Health, Software, Technology (Information and Media), Technology (Product Development), Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",York University,True,True,True,True 1b7312b9-a941-4f21-9f66-eb36dcc12bf6,mahmoud.gemy18@gmail.com,Mahmoud Gamal,Salem,https://talenthub.vectorinstitute.ai/profiles/1792396/view_image/Screenshot_2020-09-24_at_00.13.44.png,AI Researcher/Engineer,"I'm a A Vector student researcher and I'm pursuing master's in artificial intelligence at University of Guelph under supervision of Prof. Graham Taylor. Before I worked at Navinfo Europe as AI researcher/engineer for two years where I was applying computer vision and multi-modal learning for environment perception. ",+1 4373445045,,https://scholar.google.ca/citations?user=iN5_bwUAAAAJ&hl=en,,https://www.linkedin.com/in/mrgemy95/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/1b7312b9-a941-4f21-9f66-eb36dcc12bf6/resume,Toronto,Ontario,,Canada,,2020-05-16T04:38:53.386Z,2023-01-23T21:48:54.264Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,Prof. Graham Taylor,Already Graduated,,Mr.,https://www.linkedin.com/in/mrgemy95/,"Adversarial learning, Computer vision, Self-supervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Collaborative Specialization in Artificial Intelligence (M.A.Sc. + AI),"Education, Financial Services, Health, Retail, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Internship, Co-op, Contract, Capstone Project","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Guelph,True,True,True,True @@ -692,13 +700,6 @@ That worked for a while but then the opportunity of my dreams came along, user-f I cannot wait to see where learning will take me next!",6473823727,,,,https://www.linkedin.com/in/krystaleahr/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/257143fa-4e7b-49a8-be44-7c412c98d84b/resume,Toronto,Ontario,,Canada,linkedin,2021-01-30T16:55:19.686Z,2023-01-25T17:40:08.249Z,True,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mrs.,https://www.linkedin.com/in/krystaleahr/,"AI safety, Computer vision, Data science, Deep learning, Fairness, Law, ethics and policy, Machine learning, Natural language processing, Online learning, Unsupervised learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),MMAI,"Education, Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Full Time, Internship, Co-op, Contract","Data Engineer, Data Scientist, Machine Learning Engineer",York University,True,True,True,True bac7f6c4-38ea-42ca-a78b-587387e07d78,gadm43@yahoo.com,G.,Gad,https://talenthub.vectorinstitute.ai/profiles/2359150/view_image/1605566944790.jpeg,Masters in Computer Science at Lakehead university ,"I do research on Deep learning and privacy, IoT, federated learning, and medical image processing. ",8073587137,,http://gadm21.github.io/,,https://www.linkedin.com/in/gadm,,False,False,https://canadaai.jobboard.io/api/v1/profiles/bac7f6c4-38ea-42ca-a78b-587387e07d78/resume,Thunder Bay,Ontario,,Canada,linkedin,2021-05-16T01:16:37.545Z,2023-01-22T02:45:02.009Z,True,True,Recognized Masters Program,Yes,Vector Scholarship Recipient,Ontario,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/gadm,"Computer vision, Deep learning, Healthcare and/or medical imaging, Interpretability",Graduate Degree (Masters),Entry Level (0-2 Years),CS - AI specialization,Type of Work is More Important to me than Sector,"Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Lakehead University,True,True,True,True -54d32388-2b8a-4ae0-835b-ef424e82d8bc,vasu@cs.toronto.edu,Vasudev,Sharma,https://talenthub.vectorinstitute.ai/profiles/2326126/view_image/Profile_pic_smiling.jpeg,1+ year experience in Applied Machine Learning,,6475334447,,https://github.com/vasudev-sharma,,https://www.linkedin.com/in/vasudev-sharma-,vasudev_vasudev,False,False,https://canadaai.jobboard.io/api/v1/profiles/54d32388-2b8a-4ae0-835b-ef424e82d8bc/resume,Toronto,Ontario,,Canada,linkedin,2021-04-21T15:20:30.140Z,2023-01-20T00:29:59.710Z,True,True,Vector Scholarship Recipient,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/vs74/,"Computer vision, Data science, Deep learning, Generative modeling, Healthcare and/or medical imaging, Machine learning, Self-supervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),MSc in Applied Computing (Computer Science),"Health, Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True -ee72d993-92bb-4285-a8ac-c74c77b2cd88,aryanbvp.05@gmail.com,Aryan,Awasthi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,False,True,,,,,,linkedin,2023-03-25T12:58:07.795Z,2023-03-25T12:58:08.190Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,False,True,True -bf2e6d68-d7f0-4922-833a-ebd47fc12b6b,shivang.rana.1996@gmail.com,Shivang,Rana,https://talenthub.vectorinstitute.ai/profiles/3413093/view_image/1655134041114.jpeg,,,,,,,https://www.linkedin.com/in/sr099/,,False,False,,,,,,linkedin,2023-04-23T14:39:04.964Z,2023-04-23T14:39:05.325Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/sr099/,,,,,,,,,True,False,True,True -6e0abe87-59f2-4dea-be80-a7ecac19413e,marissabolla@gmail.com,Marissa,Bolla,https://talenthub.vectorinstitute.ai/profiles/3415694/view_image/1680113986261.jpeg,,,6478242462,,,,https://linkedin.com/in/marissa-bolla-11486719a,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6e0abe87-59f2-4dea-be80-a7ecac19413e/resume,Ottawa,Ontario,,Canada,linkedin,2023-04-25T01:30:31.167Z,2023-04-25T01:30:31.541Z,True,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Fall 2024 (August - November),,Miss.,https://linkedin.com/in/marissa-bolla-11486719a,,Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Honours Bachelor of Commerce,"Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't)","Internship, Contract","Business Analyst/Business Intelligence Analyst , Product/Project Manager, Other ",University of Ottawa,True,False,True,True -47fa1bf0-4c3f-4f47-9b97-1d110d4f7735,meetofleaf@gmail.com,Meet,Patel,https://talenthub.vectorinstitute.ai/profiles/3419925/view_image/IMG_2725.jpeg,Data Analyst with 2 years experience looking for opportunities.,,4373284634,,https://meetpatel.carrd.co,,https://linkedin.com/in/meetofleaf,,True,False,https://canadaai.jobboard.io/api/v1/profiles/47fa1bf0-4c3f-4f47-9b97-1d110d4f7735/resume,Toronto,Ontario,,Canada,,2023-04-26T21:40:49.003Z,2023-04-26T21:40:49.044Z,True,True,Not Affiliated with Vector,No,Unsure,,Already Graduated,Worked with PwC when I got in touch with Vector Institute.,Mr.,https://linkedin.com/in/meetofleaf,"AI safety, Generative modeling, Reinforcement learning",Graduate Degree (Masters),Entry Level (0-2 Years),Project Management with Analytics,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Other ",Other,True,True,True,True -a5479601-5bcd-4f9a-83ee-515ee90f58c9,mathumitha_k@hotmail.com,Mathu,Kira,https://talenthub.vectorinstitute.ai/profiles/3419981/view_image/1681318027685.jpeg,,,,,,,https://www.linkedin.com/in/mathukira/,,False,False,,,,,,linkedin,2023-04-26T22:58:42.461Z,2023-04-26T22:58:42.903Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/mathukira/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Artificial Intelligence,,"Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True -707ef0aa-c40c-402a-867a-97c4d92394cd,ankita02namdeo@gmail.com,Ankita,Namdeo,https://talenthub.vectorinstitute.ai/profiles/3012970/view_image/mypic.jpg,,,+1-4372994614,,,,https://www.linkedin.com/in/ankita-namdeo-bit,,False,False,https://canadaai.jobboard.io/api/v1/profiles/707ef0aa-c40c-402a-867a-97c4d92394cd/resume,Toronto,Ontario,,Canada,,2022-09-21T18:54:18.819Z,2023-05-05T13:58:02.063Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Ms.,https://www.linkedin.com/in/ankita-namdeo-b870a3100/,"Data science, Game theory, Machine learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management in Artificial Intelligence,"Financial Services, Public Administration (i.e Gov't), Software, Technology (Product Development)","Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Engineer, Product/Project Manager, Other ",York University,True,True,True,True 815071f3-73be-49c8-bae1-5660913c8238,mariahkatherine2k@gmail.com,Mariah,Amalraj,https://talenthub.vectorinstitute.ai/profiles/3279653/view_image/1655782027294.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-02-16T17:16:09.125Z,2023-02-16T17:16:09.697Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/mariah-amalraj-559b29208/,,,,,,,,,True,True,True,True 7feea32f-c2ea-40fa-b84a-77ec6b4499ba,ducaruggi@gmail.com,Eduardo,Dalia Ruggi,https://talenthub.vectorinstitute.ai/profiles/3277820/view_image/1517497793261.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-02-15T20:14:47.415Z,2023-02-15T20:14:47.819Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/eduardo-dalia-ruggi-27948128/,,,,,,,,,True,False,True,True d9d68f41-9d43-4dc2-ba71-25fa70279cfd,armin2saadat@gmail.com,Armin,Saadat,https://talenthub.vectorinstitute.ai/profiles/3215312/view_image/1607039283473.jpeg,,,+1 236-308-8333,,https://armin-saadat.github.io/,,https://www.linkedin.com/in/armin-saadat/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/d9d68f41-9d43-4dc2-ba71-25fa70279cfd/resume,Vancouver,British Columbia,,Canada,linkedin,2023-01-10T03:43:49.964Z,2023-01-10T03:43:50.537Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/armin-saadat/,"Computer vision, Deep learning, Healthcare and/or medical imaging, Interpretability, Machine learning, Quantum computing",Graduate Degree (Masters),Entry Level (0-2 Years),Electrical & Computer Engineering,"Construction or Infrastructure, Education, Financial Services, Health, Professional Services (e.g Consulting), Retail, Technology (Information and Media), Technology (Product Development)",Internship,"Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True @@ -714,19 +715,16 @@ f3c3b83f-f483-4dfa-93b7-ce9ae21e0969,21fl15@queensu.ca,Wesley,Li,https://talenth I have a proven track record of success in designing and implementing machine learning algorithms that have significantly improved the performance and accuracy of various applications. I am experienced in working with large datasets, data preprocessing, feature engineering, and model evaluation. I also have expertise in deep learning frameworks such as TensorFlow, Keras, and PyTorch, as well as proficiency in programming languages such as Python. I am passionate about staying up-to-date with the latest advancements in AI and ML research and continuously improving my skills. I thrive in collaborative environments and enjoy working with cross-functional teams to develop innovative solutions that have a positive impact on businesses and society. With my expertise in AI and ML, I am dedicated to creating intelligent systems that can automate tasks, enhance decision-making, and drive data-driven insights for organizations.",306-880-2341,,,,https://www.linkedin.com/in/sana-sharif-3b603748/,,False,False,,,,,,linkedin,2023-04-05T14:12:02.458Z,2023-04-06T18:25:21.738Z,True,True,Other Vector Programming,Yes,Student or Postdoc of a Vector Faculty Member,,Spring/Summer 2023 (April - July),,Mrs.,https://www.linkedin.com/in/sana-sharif-3b603748/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),M.Sc Electrical & Computer Engineering,,"Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",Lakehead University,True,False,True,True -45faeeb2-d3af-4d97-95aa-0f2e960f09aa,kanav.singla@mail.utoronto.ca,Kanav ,Singla ,https://talenthub.vectorinstitute.ai/profiles/2694703/view_image/me_blank.png,AI Research Engineer at Huawei,"Hi I am Kanav, I am pursuing Robotics and Machine Intelligence under Engineering Science at University of Toronto. I have been working on applied AI, specifically in the field of self driving at Noah's Ark Autonomous Driving Lab under Huawei, testing and building end to end systems. ",6479367827,,https://kanavsinglaa.github.io/,,https://www.linkedin.com/in/kanav-singla-927946171/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/45faeeb2-d3af-4d97-95aa-0f2e960f09aa/resume,Toronto,Ontario,,Canada,,2022-02-17T05:51:15.536Z,2023-03-22T05:05:03.168Z,True,True,Not Affiliated with Vector,No,Student or Postdoc of a Vector Faculty Member,Ontario,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/kanav-singla-927946171/,"Computer vision, Deep learning, Machine learning, Meta-learning, Natural language processing, Neuroscience, Reinforcement learning, Transfer learning, Wearable technology and/or Internet of Things",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Engineering Science (Robotics and Machine Intelligence),"Financial Services, Professional Services (e.g Consulting), Software, Technology (Product Development)","Full Time, Internship","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True +6e0abe87-59f2-4dea-be80-a7ecac19413e,marissabolla@gmail.com,Marissa,Bolla,https://talenthub.vectorinstitute.ai/profiles/3415694/view_image/1680113986261.jpeg,,,6478242462,,,,https://linkedin.com/in/marissa-bolla-11486719a,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6e0abe87-59f2-4dea-be80-a7ecac19413e/resume,Ottawa,Ontario,,Canada,linkedin,2023-04-25T01:30:31.167Z,2023-04-25T01:30:31.541Z,True,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Fall 2024 (August - November),,Miss.,https://linkedin.com/in/marissa-bolla-11486719a,,Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Honours Bachelor of Commerce,"Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't)","Internship, Contract","Business Analyst/Business Intelligence Analyst , Product/Project Manager, Other ",University of Ottawa,True,False,True,True +47fa1bf0-4c3f-4f47-9b97-1d110d4f7735,meetofleaf@gmail.com,Meet,Patel,https://talenthub.vectorinstitute.ai/profiles/3419925/view_image/IMG_2725.jpeg,Data Analyst with 2 years experience looking for opportunities.,,4373284634,,https://meetpatel.carrd.co,,https://linkedin.com/in/meetofleaf,,True,False,https://canadaai.jobboard.io/api/v1/profiles/47fa1bf0-4c3f-4f47-9b97-1d110d4f7735/resume,Toronto,Ontario,,Canada,,2023-04-26T21:40:49.003Z,2023-04-26T21:40:49.044Z,True,True,Not Affiliated with Vector,No,Unsure,,Already Graduated,Worked with PwC when I got in touch with Vector Institute.,Mr.,https://linkedin.com/in/meetofleaf,"AI safety, Generative modeling, Reinforcement learning",Graduate Degree (Masters),Entry Level (0-2 Years),Project Management with Analytics,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Other ",Other,True,True,True,True +a5479601-5bcd-4f9a-83ee-515ee90f58c9,mathumitha_k@hotmail.com,Mathu,Kira,https://talenthub.vectorinstitute.ai/profiles/3419981/view_image/1681318027685.jpeg,,,,,,,https://www.linkedin.com/in/mathukira/,,False,False,,,,,,linkedin,2023-04-26T22:58:42.461Z,2023-04-26T22:58:42.903Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/mathukira/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Artificial Intelligence,,"Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True +54d32388-2b8a-4ae0-835b-ef424e82d8bc,vasu@cs.toronto.edu,Vasudev,Sharma,https://talenthub.vectorinstitute.ai/profiles/2326126/view_image/Profile_pic_smiling.jpeg,1+ year experience in Applied Machine Learning,,6475334447,,https://github.com/vasudev-sharma,,https://www.linkedin.com/in/vasudev-sharma-,vasudev_vasudev,False,False,https://canadaai.jobboard.io/api/v1/profiles/54d32388-2b8a-4ae0-835b-ef424e82d8bc/resume,Toronto,Ontario,,Canada,linkedin,2021-04-21T15:20:30.140Z,2023-01-20T00:29:59.710Z,True,True,Vector Scholarship Recipient,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/vs74/,"Computer vision, Data science, Deep learning, Generative modeling, Healthcare and/or medical imaging, Machine learning, Self-supervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),MSc in Applied Computing (Computer Science),"Health, Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True +ee72d993-92bb-4285-a8ac-c74c77b2cd88,aryanbvp.05@gmail.com,Aryan,Awasthi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,False,True,,,,,,linkedin,2023-03-25T12:58:07.795Z,2023-03-25T12:58:08.190Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,False,True,True +bf2e6d68-d7f0-4922-833a-ebd47fc12b6b,shivang.rana.1996@gmail.com,Shivang,Rana,https://talenthub.vectorinstitute.ai/profiles/3413093/view_image/1655134041114.jpeg,,,,,,,https://www.linkedin.com/in/sr099/,,False,False,,,,,,linkedin,2023-04-23T14:39:04.964Z,2023-04-23T14:39:05.325Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/sr099/,,,,,,,,,True,False,True,True d101f955-0b50-4868-856e-4d689d43a9ac,aburmist@gmail.com,Artem,Burmistrov,https://talenthub.vectorinstitute.ai/profiles/3433236/view_image/1617580200056.jpeg,,,,,,,https://www.linkedin.com/in/burmistrov/,,True,False,,Toronto,Ontario,,Canada,linkedin,2023-05-03T22:52:35.794Z,2023-05-03T22:52:36.162Z,True,True,Not Affiliated with Vector,No,Unsure,,Already Graduated,Part of Layer 6,Mr.,https://www.linkedin.com/in/burmistrov/,"Generative modeling, Machine learning, Time-series forecasting and modelling",Undergraduate Degree (Bachelors),Senior Level (5+ Years),Systems Design Engineering,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Contract",Product/Project Manager,University of Waterloo,True,False,True,True -5829aef2-ad39-4daf-9a03-d2b7295e1d3c,y3khan@gmail.com,Yasser,Khan,https://talenthub.vectorinstitute.ai/profiles/2624530/view_image/0B8D984D-E3A1-4FA6-B456-D021C52E4637_4_5005_c.jpeg,Experienced Data Analyst ,"Hi Everyone, -I have experience in: -- cleaning, exploring and analyzing data -- designing 3D reservoir models for forecasting oil, water and gas -- building economic models for running different scenarios, stress testing and valuation -- setting up machine learning models including pipelines for prediction -- validating models -- visualizing data in Pandas, Tableau and Spotfire -",905-567-7878,,http://y3khan.wordpress.com,,https://www.linkedin.com/in/yasserskhan,y3khan,False,False,https://canadaai.jobboard.io/api/v1/profiles/5829aef2-ad39-4daf-9a03-d2b7295e1d3c/resume,Toronto,Ontario,,Canada,,2021-12-22T19:55:56.467Z,2022-12-06T04:01:40.073Z,False,False,Recognized Masters Program,Yes,Unsure,,Already Graduated,University of Waterloo Data Science Certificate,Mr.,https://ca.linkedin.com/in/yasserskhan,"Machine learning, Robotics, Time-series forecasting and modelling",Graduate Degree (Masters),Mid-Level (3-5 Years),MBA,"Financial Services, Technology (Product Development)","Full Time, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Machine Learning Engineer",University of Waterloo,True,True,True,True b7766812-d95a-43ee-ad62-b3d57dab4079,rayhaanpirani@gmail.com,Rayhaan,Pirani,https://talenthub.vectorinstitute.ai/profiles/3382422/view_image/1589441982368.jpeg,,,,,,,https://www.linkedin.com/in/rayhaanpirani/,,True,False,,,,,,linkedin,2023-04-07T14:49:15.326Z,2023-04-07T14:49:15.723Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/rayhaanpirani/,,,,,,,,,True,True,True,True 98be9fdb-2977-4607-8f0b-d5dc1d2001ad,jaredgates1300@gmail.com,Jared,Gates,https://talenthub.vectorinstitute.ai/profiles/3400542/view_image/1679087546915.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-04-17T02:05:26.793Z,2023-04-17T02:05:27.141Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,True,True,True +45faeeb2-d3af-4d97-95aa-0f2e960f09aa,kanav.singla@mail.utoronto.ca,Kanav ,Singla ,https://talenthub.vectorinstitute.ai/profiles/2694703/view_image/me_blank.png,AI Research Engineer at Huawei,"Hi I am Kanav, I am pursuing Robotics and Machine Intelligence under Engineering Science at University of Toronto. I have been working on applied AI, specifically in the field of self driving at Noah's Ark Autonomous Driving Lab under Huawei, testing and building end to end systems. ",6479367827,,https://kanavsinglaa.github.io/,,https://www.linkedin.com/in/kanav-singla-927946171/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/45faeeb2-d3af-4d97-95aa-0f2e960f09aa/resume,Toronto,Ontario,,Canada,,2022-02-17T05:51:15.536Z,2023-03-22T05:05:03.168Z,True,True,Not Affiliated with Vector,No,Student or Postdoc of a Vector Faculty Member,Ontario,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/kanav-singla-927946171/,"Computer vision, Deep learning, Machine learning, Meta-learning, Natural language processing, Neuroscience, Reinforcement learning, Transfer learning, Wearable technology and/or Internet of Things",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Engineering Science (Robotics and Machine Intelligence),"Financial Services, Professional Services (e.g Consulting), Software, Technology (Product Development)","Full Time, Internship","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True 0fd13ada-22a3-4aec-abd1-f0134ef95068,dademuchconnection@gmail.com,Larry Francis ,Obando Moreno ,https://talenthub.vectorinstitute.ai/profiles/3434496/view_image/1680936241379.jpeg,Freelance,I studied Electrical Engineer and have been working as an online teacher for about 15 years.,633129287,,,,https://www.linkedin.com/in/larry-francis-obando-moreno-ba66021b7/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0fd13ada-22a3-4aec-abd1-f0134ef95068/resume,Spanish,Ontario,,Canada,linkedin,2023-05-04T12:23:33.498Z,2023-05-08T05:32:23.668Z,True,False,Not Affiliated with Vector,No,Unsure,,Other/Undetermined,I am just a freelance looking for developing data analisys skills.,Mr.,https://www.linkedin.com/in/larry-francis-obando-moreno-ba66021b7/,Computer vision,Undergraduate Degree (Bachelors),Senior Level (5+ Years),Electrical Engineer,Software,Full Time,Software Engineer,Other,True,True,True,True 068858e6-ab3b-4d7a-a41f-70769fbc9374,gauravbhatt.cs.iitr@gmail.com,Gaurav,Bhatt,https://talenthub.vectorinstitute.ai/profiles/3143560/view_image/1570298060287.jpeg,,,+12369900030,,,,https://www.linkedin.com/in/gaurav-bhatt-9733324b/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/068858e6-ab3b-4d7a-a41f-70769fbc9374/resume,Vancouver,British Columbia,,Canada,linkedin,2022-11-19T07:10:42.525Z,2023-05-06T20:57:12.650Z,True,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Leonid Sigal,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/gaurav-bhatt-9733324b/,"Computer vision, Deep learning, Few-shot learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),PhD Computer Science,Software,"Internship, Co-op",Machine Learning Researcher/Scientist ,Other,True,False,True,True 7865878a-50b4-4d14-86e5-412b19f9ecda,josephmje.22@gmail.com,Michael,Joseph,https://talenthub.vectorinstitute.ai/profiles/3265529/view_image/1660561722988.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-02-08T21:32:58.236Z,2023-02-08T21:32:58.743Z,False,False,Internal Staff,Yes,,,,,,https://www.linkedin.com/in/michael-joseph/,,,,,,,,,True,False,True,True @@ -741,116 +739,40 @@ a48a75a6-cab0-479b-86eb-7d43fde93d98,parisash89@gmail.com,Parisa,Shahidzadeh,htt ed2af8af-5904-4f7b-8eb9-fe26ab35a492,ss.sungsulim@gmail.com,Sungsu,Lim,https://talenthub.vectorinstitute.ai/profiles/3331034/view_image/1517623826847.jpeg,Applied Data Scientist / Researcher,,,,http://sungsu.dev,,https://www.linkedin.com/in/sungsulim/,,False,False,,Toronto,Ontario,,Canada,linkedin,2023-03-15T19:35:10.362Z,2023-03-15T19:35:10.776Z,True,True,Connected to Another AI Institute,Yes,Unsure,,Already Graduated,"Graduated from University of Alberta, under supervision of Dr. Martha White, affiliated with Amii and CIFAR AI Chair",Mr.,https://www.linkedin.com/in/sungsulim/,"Data science, Machine learning, Reinforcement learning",Graduate Degree (Masters),Mid-Level (3-5 Years),"Computing Science, University of Alberta","Financial Services, Health, Software, Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,True,True,True bc48ae47-c7d0-48d8-91b2-9bbcf4abc745,udehval@gmail.com,Valentine ,Udeh,https://talenthub.vectorinstitute.ai/profiles/3160290/view_image/IMG_20220102_144831.jpg,Experienced Data Analyst ,"An Animal Scientist with sound knowledge of genomics and bioinformatics analysis. I am also proficient in the use of SAS, SPSS, R and python. I also have good knowledge of machine learning feature processing, modelling and application to solving real-life problems. ",+15879663709,,,,https://www.linkedin.com/in/udehval/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/bc48ae47-c7d0-48d8-91b2-9bbcf4abc745/resume,Edmonton,Alberta,,Canada,,2022-11-30T23:56:04.710Z,2023-03-26T16:52:03.063Z,True,False,Other Vector Programming,Yes,Other Vector Programming,,Winter 2024 (December 2023 - March 2024),"Student, Machine Learning Black & Indigenous Program - Fall 2022",Mr.,https://www.linkedin.com/in/udehval/,"Bioinformatics, Data science, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),MSc Animal Science,"Financial Services, Health, Technology (Product Development)","Full Time, Internship","Data Analyst, Data Scientist, Machine Learning Engineer",Other,True,True,True,True 88cbe062-463b-4fa9-b034-959fc794f98e,ameya.chawla.ml@gmail.com,Ameya,Chawla,https://talenthub.vectorinstitute.ai/profiles/3222062/view_image/8b4a4b7b7b07d00ace56c6db334f3d9b.jpg,Master's Student at University of Ottawa,,6132766829,,https://github.com/ameyachawlaggsipu,,https://www.linkedin.com/in/ameya-chawla-88b58b235/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/88cbe062-463b-4fa9-b034-959fc794f98e/resume,Ottawa,Ontario,,Canada,,2023-01-13T21:14:54.289Z,2023-01-13T23:33:01.411Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/ameya-chawla-88b58b235/,"Anomaly detection, Data science, Machine learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Master of Computer Science ( Concentration in Applied Artificial Intelligence),"Financial Services, Health, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Ottawa,True,True,True,True -6b243a94-90ea-441e-a4f4-94b2a4d8ec0e,fabian.torres.alvarez@gmail.com,Fabián,Torres,https://talenthub.vectorinstitute.ai/profiles/3461173/view_image/1591281279135.jpeg,,,,,,,https://www.linkedin.com/in/fabian-torres-alvarez/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6b243a94-90ea-441e-a4f4-94b2a4d8ec0e/resume,,,,,linkedin,2023-05-17T15:13:40.873Z,2023-05-17T15:13:41.531Z,True,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/fabian-torres-alvarez/,,Graduate Degree (Masters),Mid-Level (3-5 Years),ECE,"Education, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector",Full Time,Machine Learning Engineer,University of Toronto,True,False,True,True -6a746c4f-7e4f-45f0-a881-03e0f874f195,irwinngo@gmail.com,Irwin,Ngo,https://talenthub.vectorinstitute.ai/profiles/3459771/view_image/1677805468563.jpeg,,,,,,,https://www.linkedin.com/in/irwinngo/,,True,False,,,,,,linkedin,2023-05-17T05:34:47.049Z,2023-05-17T05:34:47.396Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/irwinngo/,,,,,,,,,True,False,True,True -7743fa5b-418c-4930-9213-22d4232ebf13,asadi.nader97@gmail.com,Nader,Asadi,https://talenthub.vectorinstitute.ai/profiles/3461227/view_image/1673211085338.jpeg,Machine Learning Researcher,,,,https://naderasadi.github.io/,,https://www.linkedin.com/in/naderasadi/,naderasadi_,False,False,https://canadaai.jobboard.io/api/v1/profiles/7743fa5b-418c-4930-9213-22d4232ebf13/resume,Montreal,Quebec,,Canada,linkedin,2023-05-17T15:32:55.847Z,2023-05-17T15:32:56.248Z,True,True,Connected to Another AI Institute,Yes,Unsure,,Already Graduated,Mila - Qubec AI Institute,Mr.,https://www.linkedin.com/in/naderasadi/,"Adversarial learning, AI safety, Computer vision, Deep learning, Few-shot learning, Machine learning, Online learning, Representation learning, Self-supervised learning, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science (Machine Learning),"Health, Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True -84bf966a-0dd8-4fc7-be31-d0be62ffd59f,dashacabirova@outlook.com,Daria,Kabirova,https://talenthub.vectorinstitute.ai/profiles/3459536/view_image/1540346374286.jpeg,Machine Learning Developer,Recent graduate with Machine Learning Development Experience.,6479941221,,,,https://www.linkedin.com/in/daria-kabirova-813413167/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/84bf966a-0dd8-4fc7-be31-d0be62ffd59f/resume,,,,Canada,linkedin,2023-05-17T02:19:43.682Z,2023-05-17T02:19:44.084Z,True,True,Not Affiliated with Vector,No,Unsure,,Already Graduated,Applying for position,Ms.,https://www.linkedin.com/in/daria-kabirova-813413167/,"Data science, Machine learning, Online learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Statistics,"Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Data Analyst, Data Scientist, Machine Learning Researcher/Scientist ",University of Toronto,True,False,True,True 2a4e9ffc-0b7e-4572-abfb-0cf1d82ebe52,yichengao1999@gmail.com,Yichen,Gao,https://talenthub.vectorinstitute.ai/profiles/3171808/view_image/1665525917749.jpeg,,,,,,,,,False,False,https://canadaai.jobboard.io/api/v1/profiles/2a4e9ffc-0b7e-4572-abfb-0cf1d82ebe52/resume,Toronto,Ontario,,Canada,linkedin,2022-12-08T21:57:42.472Z,2023-05-19T15:54:31.816Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/yichen-gao-71a02719b/,,Graduate Degree (Masters),Entry Level (0-2 Years),Electrical & Computer Engineering,"Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Contract","Data Analyst, Data Engineer, Machine Learning Engineer",Queen's University,True,True,True,True -f06214aa-3173-4df9-90a4-60c97b4231bd,yuboalex.wang@mail.utoronto.ca,Yubo ,Wang,https://talenthub.vectorinstitute.ai/profiles/3449488/view_image/digital_photo.jpg,,,6475687343,,,,https://www.linkedin.com/in/yubo-wang-3792a9233/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/f06214aa-3173-4df9-90a4-60c97b4231bd/resume,Toronto,Ontario,,Canada,,2023-05-11T20:41:26.020Z,2023-05-16T17:21:47.661Z,True,True,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Already Graduated,,Mr.,https://www.linkedin.com/in/yubo-wang-3792a9233/,"Data science, Deep learning, Fairness, Machine learning, Natural language processing, Recommender systems",Graduate Degree (Masters),Entry Level (0-2 Years),MEng,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Full Time, Internship, Co-op, Contract","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer",University of Toronto,True,True,True,True -71868a20-8b35-4cd8-9a96-3c9c154ded3a,baris_aydemir@outlook.com,Baris,Aydemir,https://talenthub.vectorinstitute.ai/profiles/3245852/view_image/1616438995441.jpeg,Machine Learning Engineer,"Hard-working, long term software developer with passion for machine learning development. Mainly working on computer vision and NLP applications. - -Professional Skills: -- Python -- PyTorch/Tensorflow -- Flask -- NoSQL (MongoDB, CassandraDB) / SQL (MySQL, SQL Server, PostgreSQL) -- Google Cloud Platform/Firebase -- Docker -- Git -",,,https://github.com/metalun4,,https://www.linkedin.com/in/barisaydemir,metalun4,False,False,https://canadaai.jobboard.io/api/v1/profiles/71868a20-8b35-4cd8-9a96-3c9c154ded3a/resume,Toronto,Ontario,,Canada,linkedin,2023-01-28T14:39:53.947Z,2023-01-31T01:11:43.991Z,True,True,Not Affiliated with Vector,No,Unsure,,Already Graduated,I studied in Georgian College and trying to increase my knowledge in machine learning with self-learning.,Mr.,https://www.linkedin.com/in/barisaydemir,"Computer vision, Few-shot learning, Natural language processing",College Diploma,Entry Level (0-2 Years),Computer Programming,"Financial Services, Retail, Software, Transportation",Full Time,"Data Scientist, Machine Learning Engineer",Other,True,True,True,True -97e4b6e0-09c0-4fb8-8376-b3af0b98c1a6,schapman4141@gmail.com,Sean,Chapman,https://talenthub.vectorinstitute.ai/profiles/2649662/view_image/1620244962151.jpeg,,,9059992906,,,,,,False,False,https://canadaai.jobboard.io/api/v1/profiles/97e4b6e0-09c0-4fb8-8376-b3af0b98c1a6/resume,Guelph,Ontario,,Canada,linkedin,2022-01-14T19:03:51.561Z,2023-04-24T18:51:22.397Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Already Graduated,,Mr.,https://www.linkedin.com/in/sean-chapman-94b0001aa/,"Bayesian methods, Bioinformatics, Data science, Interpretability, Law, ethics and policy, Machine learning, Natural language processing, Statistical learning theory, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Science,"Financial Services, Health, Public Administration (i.e Gov't)","Full Time, Contract","Business Analyst/Business Intelligence Analyst , Data Engineer, Data Scientist, Machine Learning Researcher/Scientist ",University of Guelph,True,True,True,True -9d2ca8cc-56c3-4352-89fd-8262a0e93b8f,envolonakis@gmail.com,Elias,Volonakis,https://talenthub.vectorinstitute.ai/profiles/3002357/view_image/1575232685543.jpeg,,"I am an extremely hard-working, intrinsically motivated individual with a double major in Computer Science and Mathematics from the Univesity of Toronto at the undergraduate level. I am now in the process of completing a Masters of Management in Artificial Intelligence at Schulich School of Business. I love learning about new technologies and building out robust and elegant solutions for complex problems. I love working with others in both a collaborative setting and as a leader and instructor. - -As a software developer, I have programming experience in Python, Java, C#, C, C++, JavaScript, TypeScript, Node.js and Swift. I also have experience working with Git, MongoDB, SQL, .Net, Apache Kafka, AWS, Docker, Jenkins, Octopus, APIs, New Relic, ELK, Cucumber, PyCharm, IntelliJ, Android Studio, Visual Studio, Xcode, Postman, HTML and CSS. I'm always interested in learning about new technologies and coding practices. I have extensive experience teaching students and leading groups.",6472140235,,,,https://www.linkedin.com/in/elias-volonakis-759aa8177/,,False,False,,Toronto,Ontario,,Canada,linkedin,2022-09-14T22:01:44.299Z,2023-05-17T01:16:37.899Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/elias-volonakis-759aa8177/,,Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Management in Artificial Intelligence,"Education, Financial Services, Retail, Software, Technology (Information and Media)","Full Time, Internship, Contract","Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Software Engineer",University of Toronto,True,False,True,True -ead987ac-ed7b-4762-8394-acd08e29375a,maazsaad1440@gmail.com,Maaz,Saad,https://talenthub.vectorinstitute.ai/profiles/2993660/view_image/1660387735021.jpeg,Graduate Student at Ontario Tech University | Business Analytics | Artificial Intelligence,Graduate student at Ontario Tech University. I have 3+ years of professional experience in the domain of Data Analytics having worked in fields ranging from banking and finance to e-commerce. Actively pursuing an internship for Summer 2023 in the field of Analytics & AI to utilize the skills and knowledge learned during my graduate program. ,2899433957,,,,https://www.linkedin.com/in/maaz-saad-749757129/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/ead987ac-ed7b-4762-8394-acd08e29375a/resume,Oshawa,Ontario,,Canada,linkedin,2022-09-09T00:29:38.820Z,2022-12-17T18:39:42.399Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/maaz-saad-749757129/,"Anomaly detection, Data science, Machine learning, Time-series forecasting and modelling",Graduate Degree (Masters),Mid-Level (3-5 Years),Business Analytics & AI,,"Internship, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Product/Project Manager",OntarioTech University,True,True,True,True -d7c1f525-f379-4d21-b6b7-d5dcfa09f8b9,biyeniose@gmail.com,Biyeniose,Onyeagwu,https://talenthub.vectorinstitute.ai/profiles/3449774/view_image/1654466107829.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-05-12T02:44:25.874Z,2023-05-12T02:44:26.274Z,True,False,Not Affiliated with Vector,No,Student or Postdoc of a Vector Faculty Member,,Spring/Summer 2024 (April - July),,Mr.,https://www.linkedin.com/in/biyeniose-o-864450a7/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Engineering,,"Full Time, Internship, Co-op","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Ryerson University,True,True,True,True -6ee773fa-0562-46cd-853a-8cee6d892d02,cruz.gnf@gmail.com,Giuliano,Netto Flores Cruz,https://talenthub.vectorinstitute.ai/profiles/3449673/view_image/1653881826104.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-05-11T23:56:10.907Z,2023-05-11T23:56:11.357Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/giulianonetto/,,,,,,,,,True,True,True,True -5347bd38-5056-4cdf-aa45-1b6cbacea5e8,maleki.danial93@gmail.com,Danial,Maleki,https://talenthub.vectorinstitute.ai/profiles/2110690/view_image/photo_2021-02-03_23-23-00.jpg,Machine Learning Scientist,,6473945448,,https://github.com/DaniMlk,,https://www.linkedin.com/in/danial-maleki/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/5347bd38-5056-4cdf-aa45-1b6cbacea5e8/resume,Waterloo,Ontario,,Canada,,2020-10-23T13:10:34.866Z,2023-06-26T14:23:42.976Z,True,True,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Prof. Hamid Tizhoosh,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/danial-maleki/,"Adversarial learning, Anomaly detection, Bioinformatics, Computational biology, Computer vision, Deep learning, Few-shot learning, Generative modeling, Healthcare and/or medical imaging, Machine learning, Natural language processing, Recommender systems, Self-supervised learning, Time-series forecasting and modelling, Transfer learning, Unsupervised learning",Postgraduate Degree (PhD),Senior Level (5+ Years),System Design Engineering,"Construction or Infrastructure, Education, Financial Services, Health, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Contract","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Waterloo,True,True,True,True -742e7632-d49f-4c07-bdf9-ea622bcde692,na.parvaresh@gmail.com,Nahid,Parvaresh,https://talenthub.vectorinstitute.ai/profiles/1546112/view_image/nahid.jpeg,Software Developer | Machine Learning | Data Science,"• Passionate and hardworking data scientist with 3 years of recent experience in developing machine learning and deep learning algorithms, as well as 5+ years of prior experience manipulating big datasets via SQL and Python in Ericsson -• Knowledge and experience about various machine learning frameworks such as Scikit-learn, Keras, TensorFlow and Pytorch -• Deep knowledge and experience about Python, C++ and object-oriented programming -• Excellent communication and interpersonal skills -• Having high trust of customer on quality and delivery timeline",6138691379,,,,https://www.linkedin.com/in/nahid-parvaresh-403b77a2,,False,False,https://canadaai.jobboard.io/api/v1/profiles/742e7632-d49f-4c07-bdf9-ea622bcde692/resume,,,,Canada,linkedin,2019-12-02T16:32:03.964Z,2023-06-14T19:56:04.764Z,True,True,Recognized Masters Program,Yes,Vector Scholarship Nominee,,Already Graduated,,Mrs.,https://www.linkedin.com/in/nahid-parvaresh-403b77a2/,"Deep learning, Machine learning, Recommender systems, Reinforcement learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science - Applied Artificial Intelligence,"Financial Services, Software, Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,"Data Scientist, Machine Learning Engineer, Software Engineer",University of Ottawa,True,True,True,True -8a384c1b-37cb-4911-b1a0-1bdae1120b5e,palak14garg@gmail.com,Palak,Garg,https://talenthub.vectorinstitute.ai/profiles/3013136/view_image/Palak_Garg_Passport.jpg,Analytics Consultant at HelloFresh,"I am data enthusiast who enjoys harnessing data to bring insights into the light. I have started working working at HelloFresh as analytics consultant on a demand planning project. -Prior to this, I worked as a decision analytics consultant with ZS Associates where i dealt with pharmaceutical data on daily basis. I worked on projects that required assessing analytical needs and strategically positioning, sales and marketing programs aligned with business needs/projections. -I am always keen to learn something new every day while adding value to the organization I am associated with and passionate about problem-solving and driven by the impact that I can create on people through my work. -",4165164896,,,,https://www.linkedin.com/in/palak14garg/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8a384c1b-37cb-4911-b1a0-1bdae1120b5e/resume,Toronto,Ontario,,Canada,linkedin,2022-09-21T20:34:18.826Z,2022-09-21T20:34:19.293Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Ms.,https://www.linkedin.com/in/palak14garg/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Business Analytics,"Financial Services, Health, Retail, Telecommunications, Transportation","Full Time, Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer",York University,True,True,True,True -9e9d57eb-577c-4dc5-bbc1-142e4bbeaa93,brock.laschowski@mail.utoronto.ca,Brokoslaw,Laschowski,https://talenthub.vectorinstitute.ai/profiles/2980770/view_image/file-6.jpeg,Postdoctoral Research Fellow at the University of Toronto,"Dr. Brokoslaw Laschowski is a postdoctoral research fellow in the Temerty Faculty of Medicine at the University of Toronto working in the Intelligent Assistive Technology and Systems Laboratory. He also holds an affiliation with the Artificial Intelligence and Robotics in Rehabilitation Lab at the Toronto Rehabilitation Institute. As a research scientist, he specializes in the design and control of wearable robotic systems and technologies using a human-machine systems engineering approach. Applications of his research include rehabilitation robotics, neural engineering, human-computer interaction, and assistive technology like robotic prosthetic legs and exoskeletons. His clinical research focuses on assisting individuals with mobility impairments due to aging and/or physical disabilities such as stroke, cerebral palsy, osteoarthritis, Parkinson’s disease, amputation, and spinal cord injury. His research also includes the design and integration of sensory feedback systems (e.g., smart glasses and haptics) for persons with visual impairments. Overall, he develops technologies that interface with humans in order to improve health and performance. ",226-980-5229,,https://uwaterloo.ca/motion-research-group/brock-laschowski,,https://www.linkedin.com/in/brokoslaw-laschowski/,DrLaschowski,True,False,,Toronto,Ontario,,Canada,,2022-08-31T17:18:19.468Z,2022-09-02T14:57:31.665Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Alex Mihailidis,Already Graduated,,Dr.,https://www.linkedin.com/in/brokoslaw-laschowski/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Biomedical Engineering,"Education, Health, Software, Technology (Product Development)",Full Time,"Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",University of Toronto,True,True,True,True -4c375165-4126-48b9-849c-52c848889d38,bomingshi@outlook.com,Boming,Shi,https://talenthub.vectorinstitute.ai/profiles/3012363/view_image/1663760511996.jpeg,Data scientist,"I graduated from the University of Ottawa with a thesis master of Computer Science concentration in applied artificial intelligence. I am currently seeking a job related to data engineer, machine learning or artificial intelligence. My previous research focuses on unsupervised learning, including topics in noise contrastive estimation, energy-based models, generative adversarial networks and so on. - -I have experience in developing state-of-the-art machine learning algorithms and theories. In addition, I am also interested in developing application-level machine learning products, especially in the medical and financial industries. My professional skills include, image processing, natural language processing, and data engineering.",6132527856,,,,https://www.linkedin.com/in/bomingshi,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4c375165-4126-48b9-849c-52c848889d38/resume,,Ontario,,Canada,linkedin,2022-09-21T12:03:31.063Z,2022-09-27T12:55:44.085Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/bomingshi/,"Adversarial learning, Anomaly detection, Deep learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Computer Science Concentration in Applied Artificial Intelligence,"Financial Services, Health, Manufacturing , Software, Technology (Product Development)",Full Time,"Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Ottawa,True,True,True,True -3df2b6f5-36e7-4272-ad0f-4180f289dbd5,moaddeli.m@gmail.com,Maryam,Moadeli,https://talenthub.vectorinstitute.ai/profiles/2929529/view_image/1654027798946.jpeg,NLP Scientist ,,16476175762,,https://github.com/mmaryam2020,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3df2b6f5-36e7-4272-ad0f-4180f289dbd5/resume,Toronto,Ontario,,Canada,linkedin,2022-07-29T18:23:35.513Z,2022-08-09T13:55:34.960Z,False,False,Connected to Vector Research,No,Studying in/Graduated from a Recognized Master's Program,Dr. Tom Chau,Already Graduated,,Miss.,https://www.linkedin.com/in/maryammo,"Data science, Natural language processing, Transfer learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Biomedical Engineering,"Education, Health, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",University of Toronto,True,True,True,True -5d6583e8-cb73-4582-be03-8683514fc26f,jessica@modiface.com,Jessica,Tran,https://talenthub.vectorinstitute.ai/profiles/2891451/view_image/1655858236684.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-07-06T18:12:14.104Z,2022-07-06T18:12:15.192Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/jessica-tran-/,,,,,,,,,True,False,True,True -fc91cf2f-55d2-4fa1-aa5e-377a72bd0f12,hongzhi2@ualberta.ca,Jack,Chen,https://talenthub.vectorinstitute.ai/profiles/2944310/view_image/1517250448179.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-08-08T20:36:05.800Z,2022-08-08T20:36:06.308Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,False,True,True -630f3c82-9f9b-40d7-a280-e5f3f21b8188,maximilienleclei@gmail.com,Maximilien,Le Cleï,https://talenthub.vectorinstitute.ai/profiles/2944188/view_image/1658076424146.jpeg,Machine Learning Research Scientist/Engineer,,4389358915,,,,https://www.linkedin.com/in/maximilienlc/,,True,False,,Toronto,Ontario,,Canada,linkedin,2022-08-08T19:10:04.225Z,2022-08-08T19:10:04.828Z,False,False,Connected to Another AI Institute,Yes,Other/Unsure,,Already Graduated,Not affiliated,Mr.,https://www.linkedin.com/in/maximilienlc/,"Adversarial learning, Deep learning, Reinforcement learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science - Artificial Intelligence,"Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,False,True,True -346a72af-ae3e-4d01-9aee-5631391e3d2c,kamil_1@me.com,kamil,Amin,https://talenthub.vectorinstitute.ai/profiles/3013422/view_image/DSC_0454.jpg,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/346a72af-ae3e-4d01-9aee-5631391e3d2c/resume,,,,,,2022-09-22T02:33:29.000Z,2022-09-22T02:33:29.038Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/kamil-amin/,"Anomaly detection, Data science, Deep learning",Graduate Degree (Masters),Entry Level (0-2 Years),MSc in Computer Science Specialization in Artificial Intelligence,"Construction or Infrastructure, Financial Services, Manufacturing , Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Internship, Co-op, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Product/Project Manager",York University,True,True,True,True -c2e98760-90f0-4530-a0e9-f56bd57d2a20,a.rasekh@rotman.utoronto.ca,Arman,Rasekh,https://talenthub.vectorinstitute.ai/profiles/2684716/view_image/1643989671318.jpg,,,,,,,https://www.linkedin.com/in/arman-rasekh/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c2e98760-90f0-4530-a0e9-f56bd57d2a20/resume,Toronto,Ontario,,Canada,,2022-02-09T17:47:28.172Z,2022-08-30T22:15:58.985Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/arman-rasekh/,,Graduate Degree (Masters),Mid-Level (3-5 Years),MBA,,"Full Time, Contract","Business Analyst/Business Intelligence Analyst , Product/Project Manager, Other ",University of Toronto,True,False,True,True -d6c465f1-aceb-49d8-bb34-9468d428ecec,kishore.basu@gmail.com,Kishore,Basu,https://talenthub.vectorinstitute.ai/profiles/2969360/view_image/1620420720925.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-08-24T18:50:21.638Z,2022-08-24T18:50:22.207Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/kishore-basu-08a690181/,,,,,,,,,True,True,True,True -e349185f-621e-4dcf-b203-9c21de0e21ae,melodijin@gmail.com,Melodi,Jin,https://talenthub.vectorinstitute.ai/profiles/3002404/view_image/1622829675857.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-09-14T23:01:06.217Z,2022-09-14T23:01:06.813Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/melodi-jin-2b963a6a/,,,,,,,,,True,True,True,True -26ee5bc7-e18a-4d03-ad1a-7bc7ba241df7,santoshisneha@gmail.com,Santoshi Sneha,Tadanki,https://talenthub.vectorinstitute.ai/profiles/2990199/view_image/1662226266495.jpeg,A data scientist with a keen interest in humanizing technology and collaborating with people,,7827785037,,,,https://www.linkedin.com/in/santoshi-sneha-tadanki-b4a465143/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/26ee5bc7-e18a-4d03-ad1a-7bc7ba241df7/resume,Toronto,Ontario,,Canada,linkedin,2022-09-07T04:09:28.679Z,2022-09-15T15:42:36.485Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Spring/Summer 2023 (April - July),,Miss.,https://www.linkedin.com/in/santoshi-sneha-tadanki-b4a465143/,"Anomaly detection, Data science, Deep learning, Machine learning, Natural language processing, Optimization, Time-series forecasting and modelling",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management in Artificial Intelligence (MMAI),Type of Work is More Important to me than Sector,Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",York University,True,True,True,True -d9bf9c94-b208-4c02-8c28-649d4782883f,cartik.sharma@gmail.com,Cartik,Sharma,https://talenthub.vectorinstitute.ai/profiles/2379634/view_image/1545668903031.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-05-31T14:06:15.481Z,2022-11-16T18:08:54.456Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/cartiksharma/,,,,,,,,,True,True,True,True -fafeaef4-8d66-4951-922b-fbbe1b01b36e,arash.ahmadian@mail.utoronto.ca,Arash,Ahmadian,https://talenthub.vectorinstitute.ai/profiles/3015977/view_image/1656469131913.jpeg,Machine Learning Software Engineering Inter @ Cerebras,"I'm generally interested in theoretical and practical aspects of deep learning, and hardware acceleration for machine learning. I've previously worked on deep learning optimizers and Neural Architecture Methods (NAS) for Computer Vision (CV). I've also worked on an opensource CAD tool (VTR) for FPGAs supported by Google. Additionally, I worked as an undergraduate researcher at Intel on generalizing and optimizing the modelling capabilities of routing resources for FPGA CAD.. I am currently working at Cerebras to improve training efficiency and hardware utilization of the CS-2 systems and am in charge of leading paper reading session at University of Toronto Machine Intelligence (UTMIST) club.",64706081239,,,,https://www.linkedin.com/in/arash-ahmadian/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/fafeaef4-8d66-4951-922b-fbbe1b01b36e/resume,Toronto,Ontario,,Canada,linkedin,2022-09-23T15:00:37.932Z,2022-09-23T15:00:38.492Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Vaughn Betz,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/arash-ahmadian/,"Deep learning, Reinforcement learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Engineering,"Software, Technology (Information and Media), Technology (Product Development), Telecommunications",Internship,"Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True -6bcabe15-5eb1-4e86-92cc-293387ea332d,20vr1@queensu.ca,Vignesh,Rao,https://talenthub.vectorinstitute.ai/profiles/2624564/view_image/DP4_cropped.jpeg,"Artificial Intelligence, Software Engineering",I am currently pursuing an MSc in Computing (focus on Artificial Intelligence) in Queen's University at Kingston after having worked on building scalable microservices and database connectivity drivers for 4 years as a Software Engineer.,6475214259,,,,https://www.linkedin.com/in/vignesh294/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6bcabe15-5eb1-4e86-92cc-293387ea332d/resume,,Ontario,,Canada,,2021-12-22T19:56:13.013Z,2022-08-29T16:29:44.734Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/vignesh294/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Science in Computing,,"Full Time, Contract","Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Queen's University,True,True,True,True -48569989-f4d9-4723-bbe6-2ca7d303d245,22mj23@queensu.ca,MOJTABA,JAHANBAZI,https://talenthub.vectorinstitute.ai/profiles/3139982/view_image/3-5___4-5_shengen.jpg,Experienced Financial Manager,,6479283007,,,,https://www.linkedin.com/in/mojtabajahanbazi/,,True,False,,Toronto,Ontario,,Canada,,2022-11-16T23:30:22.784Z,2022-11-16T23:30:22.982Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/mojtabajahanbazi/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Financial Innovation & Technology,Type of Work is More Important to me than Sector,"Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst",Queen's University,True,True,True,True -f8f4143f-a305-44f0-850f-08e2ec8c2b22,patrickpan1436@outlook.com,Zixuan,Pan,https://talenthub.vectorinstitute.ai/profiles/2382449/view_image/008-1.jpg,Machine Learning Researcher,,3658882718,,,,https://www.linkedin.com/in/zixuan-pan-459389156/,,True,False,,,Ontario,,Canada,,2021-06-02T13:19:21.242Z,2022-09-20T02:10:20.408Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/zixuan-pan-459389156/,"Computer vision, Deep learning, Graphical models",Graduate Degree (Masters),Entry Level (0-2 Years),"Machine Learning, Computer Vision","Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True -52fee1ac-83f9-48f4-b1fc-746a2ed47468,debadityashome9@gmail.com,Debaditya,Shome,https://talenthub.vectorinstitute.ai/profiles/2969710/view_image/4422DEDC-DD60-4EB1-B5F3-01EACD490581.JPEG,AI Researcher & Graduate student,,3439892719,,,,https://in.linkedin.com/in/debaditya-shome,,True,False,https://canadaai.jobboard.io/api/v1/profiles/52fee1ac-83f9-48f4-b1fc-746a2ed47468/resume,Kingston,Ontario,,Canada,,2022-08-25T01:05:56.698Z,2022-08-26T15:45:06.685Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Fall 2024 (August - November),,Mr.,https://www.linkedin.com/in/debaditya-shome/,"Computer vision, Data science, Deep learning, Few-shot learning, Generative modeling, Healthcare and/or medical imaging, Machine learning, Natural language processing, Representation learning, Self-supervised learning, Time-series forecasting and modelling, Transfer learning, Unsupervised learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Applied Science in ECE (AI study path),Type of Work is More Important to me than Sector,"Full Time, Internship, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",Queen's University,True,True,True,True -c7049bad-c0d2-4d21-9819-726e86f6c707,ouammarlamia.m1@gmail.com,Lamia,OUAMMAR,https://talenthub.vectorinstitute.ai/profiles/3104948/view_image/1621022009227.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-10-31T12:19:40.477Z,2022-10-31T12:19:40.974Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/lamia-ouammar-3b632a187/,,,,,,,,,True,True,True,True -1683f594-3cea-4480-b825-1781c613f541,davidw.wang@mail.utoronto.ca,David,Wang,https://talenthub.vectorinstitute.ai/profiles/2504445/view_image/22A4557F-56D6-4040-AD3C-846CAA33FDC2.jpeg,Data Scientist,,,,,,,,True,False,,Toronto,Ontario,,Canada,,2021-09-10T17:42:44.330Z,2022-11-30T00:41:43.368Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/davidwang12/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Applied Science,"Financial Services, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Toronto,True,True,True,True -33ad5318-5f94-459a-be40-bdef1366823c,charina.alducente@gmail.com,Charina,Alducente,https://talenthub.vectorinstitute.ai/profiles/3028939/view_image/1659136490989.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-10-03T02:04:29.946Z,2022-10-03T02:04:30.526Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/calducente/,,,,,,,,,True,True,True,True -e890d33b-3b72-40a3-855c-a9e322f8c4cb,wfrei020@gmail.com,Walter,Freire,https://talenthub.vectorinstitute.ai/profiles/1550759/view_image/0.jpeg,Software Engineer,"Software Developer, B.A.Sc. in Electrical Engineer and B.Sc. in Computing Technology with CO-OP and business management, currently part time MEng Elec. and Comp. Eng. with AI specilization at University of Ryerson.",6474605593,,https://github.com/wfrei020,,https://www.linkedin.com/in/walter-andrei-freire-42b1908a,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e890d33b-3b72-40a3-855c-a9e322f8c4cb/resume,Toronto,Ontario,,Canada,linkedin,2019-12-03T17:06:43.944Z,2020-11-20T18:03:36.520Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/walter-freire-42b1908a/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Part time MEng in Electrical and Computer engineering with AI concentration,"Construction or Infrastructure, Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Product Development), Telecommunications","Full Time, Internship, Contract",,Ryerson University,True,False,True,True -a3a929ef-52c3-4a20-ba1b-fdfd30092e96,inesbirimahire@yahoo.fr,Ines,BIRIMAHIRE,https://talenthub.vectorinstitute.ai/profiles/1552511/view_image/0.jpeg,Machine Learning Researcher,"Ines is a graduate student from African Institute for Mathematical Sciences(AIMS) in the African Master's in Machine Intelligence (AMMI) program. she is currently doing the research internship at Vector Institute where she is working on both the core natural language processing(NLP) methods as well as their application . She is also working as a virtual Intern with Explosion AI, where she is working on French rule-based lemmatizer for SpaCy community. She graduated with a Bachelor’s degree in Applied Mathematics from the University of Rwanda, then did a master’s degree in Mathematical Sciences at AIMS Ghana. During her masters she worked on ”Optimal Investment and Reinsurance Strategy under Stochastic Volatility and Module Uncertainty” as a research thesis. Prior to her master’s degree, she worked with CARLCARE Ltd, Rwanda as a material supervisor for almost three years. ",6478065102,,,,https://www.linkedin.com/in/inesrwanda/,BIRIMAHIREInes,True,False,https://canadaai.jobboard.io/api/v1/profiles/a3a929ef-52c3-4a20-ba1b-fdfd30092e96/resume,Toronto,Ontario,,Canada,linkedin,2019-12-04T17:36:27.633Z,2019-12-06T22:38:28.414Z,False,False,Connected to Vector Research,Yes,Other/Unsure,Bo Wang,,Research Intern,Miss.,https://www.linkedin.com/in/inesrwanda/,,,,African Institute for Mathematical Sciences/ African Master's in Machine Intelligence.,"Financial Services, Telecommunications","Full Time, Internship, Co-op, Contract, Capstone Project",,Other,True,True,True,True -5cef0788-845a-40ef-826f-4cb6ddf228a7,shysta12326@gmail.com,Shysta,Sehgal,https://talenthub.vectorinstitute.ai/profiles/2998742/view_image/1658340733223.jpeg,Software Engineer at LABonWEB,,6476769715,,https://github.com/shysta-sehgal,,https://www.linkedin.com/in/shysta-sehgal/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5cef0788-845a-40ef-826f-4cb6ddf228a7/resume,Toronto,Ontario,,Canada,linkedin,2022-09-12T19:37:45.612Z,2022-09-12T19:44:32.681Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Animesh Garg,Winter 2025 (December 2024 - March 2025),,Ms.,https://www.linkedin.com/in/shysta-sehgal/,"Deep learning, Machine learning, Natural language processing, Reinforcement learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science and Cognitive Science,"Education, Health, Software, Technology (Information and Media), Technology (Product Development)","Internship, Co-op, Contract, Capstone Project","Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True -8641ce04-ff30-433d-9a33-949f44ebbed1,z.navidi90@gmail.com,Zeinab,Navidi,https://talenthub.vectorinstitute.ai/profiles/2691080/view_image/1619549372892.jpeg,,Computer Science PhD Student ,,,,,https://www.linkedin.com/in/zeinab-navidi/,,True,False,,Toronto,Ontario,,Canada,linkedin,2022-02-14T17:23:16.277Z,2022-08-16T15:38:01.294Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Dr. Bo Wang,Other/Undetermined,,Ms.,https://www.linkedin.com/in/zeinab-navidi/,"Bioinformatics, Computational biology, Computer vision, Data science, Deep learning, Healthcare and/or medical imaging, Machine learning, Transfer learning, Unsupervised learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science,"Education, Financial Services, Health","Internship, Co-op","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,False,True,True -adadec87-5976-4326-b08d-1903ff64c51f,ajavdk@gmail.com,Alexander,Van de Kleut,https://talenthub.vectorinstitute.ai/profiles/2317478/view_image/1587427229571.jpeg,Machine Learning Engineer,Machine learning and AI. MMath University of Waterloo 2021. ,6134539932,,http://avandekleut.github.io,,http://linkedin.com/in/avandekleut/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/adadec87-5976-4326-b08d-1903ff64c51f/resume,Kitchener,Ontario,,Canada,linkedin,2021-04-15T21:37:55.439Z,2021-04-15T21:37:55.630Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,http://linkedin.com/in/avandekleut/,"Deep learning, Machine learning, Reinforcement learning",Graduate Degree (Masters),Entry Level (0-2 Years),"Computer Science, Machine Learning",,"Full Time, Internship, Co-op, Contract","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Waterloo,True,False,True,True -3ec86675-3dd0-4415-ade3-5173aa56f7ea,dulanga.weerakoon.lk@gmail.com,Dulanga,Weerakoon,https://talenthub.vectorinstitute.ai/profiles/2248318/view_image/1516921499306.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-02-27T08:07:10.768Z,2021-02-27T08:07:11.003Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/dulangaweerakoon/,,,,,,,,,True,False,True,True -17a2e342-c0e3-4b9b-9286-2e0a1c124409,rasa.hosseinzadeh@gmail.com,Rasa,Hosseinzadeh,https://talenthub.vectorinstitute.ai/profiles/2292669/view_image/picture.jpg,,,16475442205,,,,https://www.linkedin.com/in/rasa-hosseinzadeh-6204a6208/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/17a2e342-c0e3-4b9b-9286-2e0a1c124409/resume,Toronto,Ontario,,Canada,,2021-03-30T03:11:50.481Z,2021-04-29T15:28:50.850Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/rasa-hosseinzadeh-6204a6208/,"Bayesian methods, Data science, Statistical learning theory",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector",Full Time,"Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,False,True,True -4f21ae23-7947-439d-b380-71eca0ed1df0,mehrazinalizadeh@gmail.com,Mehrazin,Alizadeh,https://talenthub.vectorinstitute.ai/profiles/2481174/view_image/Pic.jpg,Data Scientist,"A passionate and team-oriented data scientist with a demonstrated background in deep learning, statistical modeling, optimization, and Computer engineering.",4168379751,,,,https://www.linkedin.com/in/mehrazin-alizadeh/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4f21ae23-7947-439d-b380-71eca0ed1df0/resume,Toronto,Ontario,,Canada,,2021-08-24T21:14:50.103Z,2021-08-24T21:33:30.327Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/mehrazin-alizadeh-93a9631a4/,,Graduate Degree (Masters),Entry Level (0-2 Years),MASc in Electrical and Computer Engineering,"Financial Services, Health, Retail, Software, Technology (Information and Media), Telecommunications","Full Time, Internship, Co-op, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",York University,True,True,True,True -4e1baa4e-023c-4488-a2e4-98dd653ed68f,vionwinnie@gmail.com,Winnie,Yeung,https://talenthub.vectorinstitute.ai/profiles/2248962/view_image/1535811156579.jpeg,Full-stack NLP data scientist ,"Exploring full-time position in Ontario, Canada. Experienced full-stack NLP data scientist designing and implementing large-scale production-level machine learning system from data pipeline to real-time inferencing. ",,,,,https://www.linkedin.com/in/winnieyeung/,,True,False,,,,,,linkedin,2021-02-27T21:54:42.946Z,2021-02-27T21:54:43.164Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,Saw on Linkedin: https://www.linkedin.com/feed/update/urn:li:activity:6771098378962026496/,Miss.,https://www.linkedin.com/in/winnieyeung/,"Deep learning, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),Masters of Analytics,Type of Work is More Important to me than Sector,Full Time,,Other,True,False,True,True -be1047cc-f82f-4b5f-9ccd-4968b0c7380a,pooria.mazaheri@gmail.com,Pooria,Mazaheri,https://talenthub.vectorinstitute.ai/profiles/2330005/view_image/1516570520214.jpeg,,,2899969090,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/be1047cc-f82f-4b5f-9ccd-4968b0c7380a/resume,,Ontario,,Canada,linkedin,2021-04-24T02:03:12.350Z,2021-04-24T02:03:12.540Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,,Mr.,https://www.linkedin.com/in/pooriamazaheri/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,,"Co-op, Contract, Capstone Project","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",OntarioTech University,True,False,True,True -36b9eadc-7d7f-4be5-b0e8-f2c510e79d4d,dancareaga.f@gmail.com,Daniel,Careaga,https://talenthub.vectorinstitute.ai/profiles/2280922/view_image/1517545956274.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-03-21T21:08:35.856Z,2021-03-21T21:08:36.026Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/daniel-careaga/,,,,,,,,,True,True,True,True -0709b885-a475-429f-9c18-582cc199bb14,joeyqzhang@gmail.com,Joey,Zhang,https://talenthub.vectorinstitute.ai/profiles/2780427/view_image/1591068741931.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-04-22T22:11:18.334Z,2022-04-22T22:11:18.794Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/joeyzhang1/,,,,,,,,,True,True,True,True -95762fb8-65bd-4660-862f-5448d7d56d16,nikithavarada5@gmail.com,Sri Nikitha,Varada,https://talenthub.vectorinstitute.ai/profiles/2627836/view_image/1592040687228.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-12-27T04:22:57.999Z,2021-12-27T04:22:58.436Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/sri-nikitha-varada-756062140/,,,,,,,,,True,True,True,True -8ce85783-5047-443b-bad0-ae661924aa46,mitra.mirshafiee@gmail.com,Mitra,Mirshafiee,https://talenthub.vectorinstitute.ai/profiles/2505836/view_image/1598372488395.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-09-12T05:10:52.588Z,2021-09-12T05:10:52.752Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/mitra-mirshafiee-data-scientist/,,,,,,,,,True,True,True,True -f83393b2-b793-4092-b4e8-f916f7caeac0,ryanmarten2000@gmail.com,Ryan,Marten,https://talenthub.vectorinstitute.ai/profiles/2356356/view_image/1564739644424.jpeg,Applied Machine Learning Intern at Vector Institute,,781 492 7289,,,,https://www.linkedin.com/in/ryan-marten/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f83393b2-b793-4092-b4e8-f916f7caeac0/resume,Toronto,Ontario,,Canada,linkedin,2021-05-13T14:26:57.198Z,2021-05-14T19:44:47.519Z,False,False,Internal Staff,Yes,Other/Unsure,,Already Graduated,Vector Staff (intern),Mr.,https://www.linkedin.com/in/ryan-marten/,"Computer vision, Deep learning, Natural language processing",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Computer Science,"Education, Health, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Toronto,True,True,True,True -a5a254d0-4b08-4a49-a5d4-947f4057ec14,aaryapatel98@gmail.com,Aarya,Patel,https://talenthub.vectorinstitute.ai/profiles/2412912/view_image/1551289698798.jpeg,Data Scientist,,8810500058,,,,https://www.linkedin.com/in/aaryapatel007/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a5a254d0-4b08-4a49-a5d4-947f4057ec14/resume,,,,,linkedin,2021-06-26T07:44:32.828Z,2021-06-26T07:44:32.995Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,I'm a prospective master's student,Mr.,https://www.linkedin.com/in/aaryapatel007/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science,"Health, Manufacturing , Technology (Product Development), Transportation","Full Time, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True -19b2f4f6-8257-4d99-a8db-0f756c9154bb,talal.rahim@gmail.com,Talal,Rahim,https://talenthub.vectorinstitute.ai/profiles/2806500/view_image/1557086441468.jpeg,Economist and Machine Learning Scientist,,6472449893,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/19b2f4f6-8257-4d99-a8db-0f756c9154bb/resume,Toronto,Ontario,,Canada,linkedin,2022-05-11T11:15:58.930Z,2022-05-11T11:15:59.529Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,I'm looking to engage with Vector Institute,Dr.,https://www.linkedin.com/in/talal-rahim-62873810/,"Data science, Deep learning, Machine learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Economics,"Education, Financial Services, Health, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation",Full Time,"Data Scientist, Machine Learning Researcher/Scientist ",Other,True,True,True,True -923cca5a-7f84-4ce1-a4c0-50f8a0492faa,nehad.hirmiz@gmail.com,Nehad,Hirmiz,https://talenthub.vectorinstitute.ai/profiles/2352552/view_image/1559671298203.jpeg,Postdoctoral Research Fellow in Medical Biophysics and Medical Imaging,,2892422590,,,,https://www.linkedin.com/in/nehad-hirmiz-7363ab3b/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/923cca5a-7f84-4ce1-a4c0-50f8a0492faa/resume,Toronto,Ontario,,Canada,linkedin,2021-05-11T02:37:10.968Z,2021-05-14T03:52:25.785Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,Not Applicable,Already Graduated,,Dr.,https://www.linkedin.com/in/nehad-hirmiz-7363ab3b/,"Computer vision, Deep learning, Healthcare and/or medical imaging",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Biomedical Engineering,Health,Full Time,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",Western University,True,True,True,True -bafd7a1c-de64-4920-9753-11ba0b84d83c,leila.elmoujtahid@gmail.com,Laila,El Moujtahid,https://talenthub.vectorinstitute.ai/profiles/1970468/view_image/0.jpeg,Solution Manager ( Product development ) ,,15146320052,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/bafd7a1c-de64-4920-9753-11ba0b84d83c/resume,Montreal,Quebec,,Canada,linkedin,2020-09-08T15:06:27.656Z,2020-09-08T15:06:27.861Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,QC,Already Graduated,,Ms.,https://www.linkedin.com/in/laila-el-moujtahid-87793273/,,Graduate Degree (Masters),Senior Level (5+ Years),"Bachelor : Computer engineering , Master : Aerospace ( Digital product development)","Software, Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,,Other,True,True,True,True -30c4627a-d33e-41b2-991a-301fce2908f3,mahindru.shreya@gmail.com,Shreya,Mahindru,https://talenthub.vectorinstitute.ai/profiles/1965937/view_image/0.jpeg,,,+1-438 9213136,,https://www.thinkrconsulting.org/,,https://www.linkedin.com/in/shreya-mahindru/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/30c4627a-d33e-41b2-991a-301fce2908f3/resume,,,,Canada,linkedin,2020-09-04T00:48:58.631Z,2020-09-04T00:48:58.846Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Spring/Summer 2021,,Miss.,https://www.linkedin.com/in/shreya-mahindru/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master in Business Administration,"Financial Services, Professional Services (e.g Consulting), Retail, Technology (Product Development)",Full Time,,Other,True,True,True,True -d79b4dab-0944-417c-bae5-91767b4e63d8,ast707964902@qq.com,Jiayi,Luo,https://talenthub.vectorinstitute.ai/profiles/1972983/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-09-10T14:38:12.323Z,2021-02-04T13:51:40.000Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/jiayi-luo-246514b8/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management in Artificial Interllgence,"Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,,York University,True,False,True,True -52b9898e-c155-4aa2-8d9d-e21459fc6716,gavinlt1986@gmail.com,Ting(Gavin),Lei,https://talenthub.vectorinstitute.ai/profiles/1977372/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-09-15T05:20:38.833Z,2020-09-15T05:20:39.026Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/ting-gavin-lei-51053123/,,,,,,,,,True,True,True,True -45aaa291-988e-4881-8b9b-aeae108f3c97,frishta.habib@cn.ca,Frishta,"Habib, CPC",https://talenthub.vectorinstitute.ai/profiles/1963776/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-09-02T14:40:39.072Z,2020-09-02T14:40:39.243Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/frishta-habib-2750755b/,,,,,,,,,True,False,True,True -9ccda96f-e16f-43b3-b122-8ec99b9efae3,nightstorm1990@gmail.com,Nilotpal,Sinha,https://talenthub.vectorinstitute.ai/profiles/2790926/view_image/1517003765590.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-04-30T03:28:43.918Z,2022-04-30T03:28:44.364Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/nilotpal-sinha-382b2357/,,,,,,,,,True,True,True,True -9af94cf5-fabe-4007-8648-e4afd9962c88,vladimir.vasquez.19@gmail.com,Vladimir,Vásquez,https://talenthub.vectorinstitute.ai/profiles/2762263/view_image/1625771539546.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-04-10T02:25:48.770Z,2022-04-10T02:25:49.180Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/vladimir-v%C3%A1squez-1267b2b9/,,,,,,,,,True,False,True,True -78becadf-5be6-4f81-bca9-9e5abcb758da,wazom@hotmail.com,Aarón,Morelos,https://talenthub.vectorinstitute.ai/profiles/2758541/view_image/1648623748548.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-04-07T06:39:03.374Z,2022-04-07T06:39:03.998Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/aaron-mg/,,,,,,,,,True,True,True,True -7ff38348-eca3-42b7-b3b1-4eceec761b38,vi.slourenco@hotmail.com,Vinícius,Lourenço,https://talenthub.vectorinstitute.ai/profiles/2504176/view_image/1588714597658.jpeg,Data Scientiost,"With the personal mission of ""Assisting humanity to reach superior futures through tech"" , i focus on the Data area to bring this to reality. -Currently on a Master of Data Science at Tsinghua University. -Ex-Data Specialist at Microsoft (4.5 years, 3 Years FTE , 1.5 years Intern) and Product Owner for data projects at Accenture/Avanade (1 year FTE) , now helping Omdena's NGO and searching for opportunities to jump from Data Engineer to Data Science",+5511984479259,,,,https://www.linkedin.com/in/vilourenco/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/7ff38348-eca3-42b7-b3b1-4eceec761b38/resume,,,,,linkedin,2021-09-10T13:35:37.632Z,2021-09-10T13:35:37.829Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Fall 2022,"Currently studying at the best university in Asia(GPA 3.8 / 4.0) , but aiming for a migration to Canada, open to move to a university from Vector's list and also to do internships in Canada to establish in the local market. (IELTS Overall 7)",Mr.,https://www.linkedin.com/in/vilourenco/,"Computer vision, Data science, Deep learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master in Data Science,Type of Work is More Important to me than Sector,Internship,"Data Scientist, Machine Learning Engineer",Other,True,True,True,True -24c48330-1c04-4ceb-94bb-6559113b7702,mekarras@uwaterloo.ca,Michael,Karras,https://talenthub.vectorinstitute.ai/profiles/2493614/view_image/12711048_10209006199536157_6133441112815411625_o.jpg,,,,,,,https://www.linkedin.com/in/michael-karras-1a4b8a62/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/24c48330-1c04-4ceb-94bb-6559113b7702/resume,,,,,,2021-09-01T20:47:48.620Z,2021-09-21T17:38:52.605Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/michael-karras-1a4b8a62/,"Computer vision, Deep learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,Type of Work is More Important to me than Sector,"Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Waterloo,True,True,True,True -45b5d6c0-3ac2-448b-9d74-0fdcb468e2fa,sacardoz@uwaterloo.ca,Shea,Cardozo,https://talenthub.vectorinstitute.ai/profiles/2493608/view_image/1573052255518.png,MSc. Applied Computing (MScAC) at the University of Toronto,,4165803011,,,,https://www.linkedin.com/in/shea-cardozo/,,True,False,,Toronto,Ontario,,Canada,,2021-09-01T20:47:43.473Z,2021-09-03T20:54:24.518Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/shea-cardozo/,"Computer vision, Deep learning, Generative modeling",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Master of Science in Applied Computing (MScAC),Type of Work is More Important to me than Sector,"Internship, Capstone Project","Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,False,True,True -0b726c01-7eac-40b8-a751-a335149d7115,fernandesjohan221@gmail.com,Johan,Fernandes,https://talenthub.vectorinstitute.ai/profiles/2481171/view_image/a1.png,,"Research Assistant at NextCon Lab, University of Ottawa. -Currently working on tabular information extraction from document images with our industry partner, Lytica Inc. My work involves developing an automated Deep Learning-based solution to extract text from document images. ",5199814788,,,,https://www.linkedin.com/in/johan-fernandes/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0b726c01-7eac-40b8-a751-a335149d7115/resume,Ottawa,Ontario,,Canada,,2021-08-24T21:14:48.402Z,2021-09-20T01:19:19.045Z,False,False,Recognized Masters Program,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/johan-fernandes/,"Computer vision, Machine learning, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Computer Science concentration in Applied Artificial Intelligence,"Education, Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Ottawa,True,True,True,True -b72bd5da-2c0e-471c-8a22-0280d0232202,sjulazade@gmail.com,Sanaz,Joulazadeh,https://talenthub.vectorinstitute.ai/profiles/2478408/view_image/1617979905114.jpeg,,,,,,,https://www.linkedin.com/in/sanaz-joulazadeh-478bb5172/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b72bd5da-2c0e-471c-8a22-0280d0232202/resume,,,,,linkedin,2021-08-23T15:51:07.769Z,2021-08-23T15:51:08.066Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,I would like to study in a thesis-based Master program under supervision of Vector Institute affiliated professors.,Ms.,https://www.linkedin.com/in/sanaz-joulazadeh-478bb5172/,"Computer vision, Data science, Deep learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Electrical Engineering,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,False,True,True -71e57ecd-4ec9-4f9c-b88b-9392f40b0a72,raminnakhli@gmail.com,Ramin,Ebrahim Nakhli,https://talenthub.vectorinstitute.ai/profiles/2504467/view_image/f1ede59f-cacd-4b64-815c-b8f61fe5ef4e.jpg,Deep Learning Researcher,Self-motivated deep learning researcher :),7787769504,,,,https://www.linkedin.com/in/raminnakhli/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/71e57ecd-4ec9-4f9c-b88b-9392f40b0a72/resume,Vancouver,British Columbia,,Canada,,2021-09-10T17:42:49.510Z,2021-09-23T15:59:52.145Z,False,False,Connected to Vector Research,Yes,Other/Unsure,,Spring/Summer 2024 (April - July),I'm a PhD student at the UBC,Mr.,https://www.linkedin.com/in/raminnakhli/,"Computer vision, Deep learning, Self-supervised learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Biomedical Engineering,Type of Work is More Important to me than Sector,"Internship, Co-op",Machine Learning Researcher/Scientist ,Other,True,True,True,True -e94fd2de-89a9-4599-b0a6-23dfa42b5a40,afeng26@uwo.ca,Anna,Feng,https://talenthub.vectorinstitute.ai/profiles/2504492/view_image/IMG_7320.jpg,Master's of Data Analytics Candidate at Western University ,Hello! I am a Master of data analytics student seeking coop and full-time opportunities in data analytics and machine learning for Summer 2022. ,,,,,https://www.linkedin.com/in/afeng1/,,True,False,,,,,,,2021-09-10T17:42:54.141Z,2021-10-25T21:54:36.081Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Miss.,http://linkedin.com/in/afeng1,"Data science, Machine learning, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Analytics,"Financial Services, Health, Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",Western University,True,True,True,True -4b6d121d-6f28-4c10-9302-f68b474dce78,jgeng033@uottawa.ca,Jiahe,Geng,https://talenthub.vectorinstitute.ai/profiles/2481151/view_image/IMG_6630.JPG,Computer Science Master Student,,6132625944,,,,https://www.linkedin.com/in/jiahe-geng-033,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4b6d121d-6f28-4c10-9302-f68b474dce78/resume,Ottawa,Ontario,,Canada,,2021-08-24T21:14:44.703Z,2021-10-17T07:43:38.691Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/jiahe-geng-033,"Computer vision, Data science, Deep learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Computer Science Concentration in Applied Artificial Intelligence,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Software Engineer",University of Ottawa,True,True,True,True -34be76da-f2b7-421e-9d55-085d2f2fcc46,juliaguo1998@gmail.com,Julia,Guo,https://talenthub.vectorinstitute.ai/profiles/2504478/view_image/image0.jpg,Clinical Research Project Assistant at SickKids,,6479800599,,,,https://www.linkedin.com/in/juliayguo/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/34be76da-f2b7-421e-9d55-085d2f2fcc46/resume,Oakville,Ontario,,Canada,,2021-09-10T17:42:52.987Z,2021-09-23T02:34:31.787Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Winter 2023 (December 2022 - March 2023),,Miss.,https://www.linkedin.com/in/juliayguo/,"Bioinformatics, Data science, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Health Sciences/Health Informatics,"Education, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Internship, Co-op, Contract","Data Analyst, Data Scientist, Product/Project Manager",University of Toronto,True,False,True,True -acdd00f3-1bcb-491c-877f-391e7677c365,louschlessinger96@gmail.com,Lou,Schlessinger,https://talenthub.vectorinstitute.ai/profiles/1960752/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-08-31T21:16:42.197Z,2020-08-31T21:16:42.400Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/louschlessinger/,,,,,,,,,True,False,True,True -f5375f98-14d7-4329-9bae-666d11a9de87,rabina03@hotmail.com,Rabina,Khan,https://talenthub.vectorinstitute.ai/profiles/2127542/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-11-10T01:55:25.467Z,2020-11-10T01:55:25.677Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/rabina-khan-647392142/,,,,,,,,,True,True,True,True -597b6f14-4a6d-4639-85d1-2cdea02a044a,sikka.punar@gmail.com,Punardeep,Sikka,https://talenthub.vectorinstitute.ai/profiles/1588458/view_image/20200107_122827.jpg,"Experienced in conducting and managing R&D projects, currently pursuing Masters in Computer Science","After obtaining my Bachelor's degree in Operations, Research & Industrial Engineering from Cornell, I developed automated trading algorithms, and managed technical operations for a hedge fund for over 5 years. I also managed numerous other businesses and projects, each with a strong technical or research component, accumulating over 10 years of work experience, before joining Lakehead University to pursue a Master's in Computer Science.",8184723925,,,,https://www.linkedin.com/in/punarsikka,,True,False,https://canadaai.jobboard.io/api/v1/profiles/597b6f14-4a6d-4639-85d1-2cdea02a044a/resume,Ottawa,Ontario,,Canada,linkedin,2020-01-07T16:21:10.623Z,2021-02-04T04:05:03.255Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/punarsikka,"Data science, Deep learning, Machine learning, Natural language processing, Time-series forecasting and modelling",Graduate Degree (Masters),Senior Level (5+ Years),Masters in Computer Science,"Financial Services, Manufacturing , Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Contract","Data Architect, Data Scientist, Machine Learning Researcher/Scientist , Product/Project Manager",Lakehead University,True,False,True,True -88253729-b6b4-4be2-8d18-3077364811af,maneetzaveri5@gmail.com,Manit,Zaveri,https://talenthub.vectorinstitute.ai/profiles/2076959/view_image/0.jpeg,Machine Learning Researcher ,"I am a quick learner, out-going type of person with numerous ideas to work around given problems. I am an ideation guy and I would like to apply my data-science skills to enhance the growth of an organization. ",6478640499,,,,https://www.linkedin.com/in/manitzaveri/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/88253729-b6b4-4be2-8d18-3077364811af/resume,Waterloo,Ontario,,Canada,linkedin,2020-09-23T23:06:58.099Z,2021-03-15T18:49:43.663Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/manitzaveri/,,Graduate Degree (Masters),Entry Level (0-2 Years),MASc,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract",,University of Waterloo,True,True,True,True -6de13811-9d2d-4880-892f-acd5013bbb89,hjf6318567@gmail.com,Yuan,Wu,https://talenthub.vectorinstitute.ai/profiles/2148534/view_image/0.jpeg,,"I am a third-year Ph.D. student majoring in Computer Science at Carleton University. I am supervised by Dr. Ahmed El-Roby and Dr. Diana Inkpen. My research interests lie in transfer learning, especially applying adversarial learning in domain adaptation and multi-task learning.",3437778277,,,,https://www.linkedin.com/in/yuan-wu-953208150/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6de13811-9d2d-4880-892f-acd5013bbb89/resume,Ottawa,Ontario,,Canada,linkedin,2020-12-02T14:34:22.093Z,2020-12-04T13:42:22.529Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/yuan-wu-953208150/,"Adversarial learning, Computer vision, Deep learning, Machine learning, Representation learning, Transfer learning",Postgraduate Degree (PhD),Entry Level (0-2 Years),Computer Science,Technology (Information and Media),Internship,,Carleton University,True,True,True,True -97eafc9b-7834-407e-870e-e3c921cedf84,preenakaur@gmail.com,Preena,Kaur,https://talenthub.vectorinstitute.ai/profiles/1624294/view_image/Preena_Pic2.jpg,,"Business Analytics professional with 11 years of experience in the field of analytics, business intelligence, and data mining. Strong SQL, predictive modeling, data processing and data modeling skills. Demonstrated project management skills from data acquisition to project completion. ",4379887869,,,,https://www.linkedin.com/in/preenakaur,,True,False,https://canadaai.jobboard.io/api/v1/profiles/97eafc9b-7834-407e-870e-e3c921cedf84/resume,Toronto,Ontario,,Canada,,2020-01-31T01:26:33.431Z,2021-02-24T23:09:10.619Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/preena-preena,"Anomaly detection, Healthcare and/or medical imaging, Machine learning",Graduate Degree (Masters),Senior Level (5+ Years),Master of Management in Artificial Intelligence,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Researcher/Scientist , Product/Project Manager",Queen's University,True,True,True,True -2b8e5841-c5b6-4358-9405-6ac3ef60f1be,aditi895@yorku.ca,Aditi,Mishra,https://talenthub.vectorinstitute.ai/profiles/1980273/view_image/DesktopPic.png,,,,,,,https://linkedin.com/in/aditi-mishra-494746161,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2b8e5841-c5b6-4358-9405-6ac3ef60f1be/resume,,,,,,2020-09-17T16:54:27.479Z,2020-09-18T07:08:37.974Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,linkedin.com/in/aditi-mishra-494746161,,Graduate Degree (Masters),Mid-Level (3-5 Years),Masters in Business Analytics,"Education, Financial Services, Health, Professional Services (e.g Consulting), Retail, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Capstone Project",,York University,True,True,True,True +e5a318d1-1c8d-4044-a0cf-5fbfcc7c4e7f,soroosh.baselizadeh@gmail.com,Soroosh,Baselizadeh,https://talenthub.vectorinstitute.ai/profiles/3426857/view_image/1667341711471.jpeg,,,5197295429,,https://soroosh-bsl.github.io/,,https://www.linkedin.com/in/soroosh-baselizadeh/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/e5a318d1-1c8d-4044-a0cf-5fbfcc7c4e7f/resume,Waterloo,Ontario,,Canada,linkedin,2023-05-01T01:07:38.456Z,2023-05-28T21:47:56.478Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/soroosh-baselizadeh/,"Computer vision, Deep learning, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),MMath in Computer Science,"Health, Technology (Product Development)",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Waterloo,True,False,True,True +94629456-6862-4db4-8974-25213d021de0,mehdi.jenab@ryerson.ca,Mehdi,Jenab,https://talenthub.vectorinstitute.ai/profiles/2225780/view_image/71KB.jpg,PhD in Computational Physics,"After graduation in computational physics in Oct 2012. I have worked on international scale as a researcher in the field for 8 years and published 14 papers in high-ranking peer-reviewed journals. I have strong international background since I worked in different countries such as Iran, South Africa, Sweden and United Kingdom. + I recently turned to deep learning and have already passed 5 courses including CNN and RNN certificates and I am currently enrolled at Ryerson University for a certificate in ""machine learning"". +I have also used TensorFlow and Keras in designing and evaluating NNs. +During my research career, I have written and debugged codes in a range of computer languages stretching from old-fashioned Fortran to C++ and Python and recently to Lua and Julia. I am also well-experienced in developing codes based on both Functional Programming (FP) and Object Oriented Programming (OOP) paradigms. Furthermore I have utilized supercomputers for my research and has a extensive knowledge on high-performance computing and parallel processing and programming. +During my career I have collaborated in multiple teams with their unique working cultures and philosophies as a researcher, a project leader, a teacher and a supervisor of undergraduate and postgraduate projects.",6472361395,,,,https://www.linkedin.com/in/mehdi-jenab-phd/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/94629456-6862-4db4-8974-25213d021de0/resume,Toronto,Ontario,,Canada,,2021-02-10T15:42:20.428Z,2023-06-01T21:29:22.500Z,False,False,Recognized Masters Program,Yes,Other/Unsure,,Already Graduated,I am studying at Ryerson University,Dr.,https://www.linkedin.com/in/mehdi-jenab-16198330/,"Data science, Deep learning, Healthcare and/or medical imaging, Machine learning, Natural language processing, Optimization, Physics, Quantum computing",Postgraduate Degree (PhD),Entry Level (0-2 Years),"recieved my PhD in computational physics, currently I am studying machine learning","Financial Services, Health, Software, Technology (Information and Media), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Ryerson University,True,True,True,True +ed5f3fda-6e78-4050-ad3e-6cbeb642e8a7,practice139@yahoo.ca,Anil,Trikha,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Scientist / Software Engineer," +Machine intelligence and data analytics are rapidly changing the world in which we live. +I aim to contribute to the development of civilization on this exciting frontier. +My goal is to apply analytical methods to help organizations measurably +improve their performance. Business, finance, medicine, and science are some of the +domains that can benefit from the transformation of data into insights for evidence-based +decision-making. +I began in industry as a software engineer at the IBM Canada Lab in Toronto. +Later, I worked in the field of finance delivering software solutions and data services. +I look forward to an opportunity to discuss how I can serve your needs. +",,,,,,,False,True,https://canadaai.jobboard.io/api/v1/profiles/ed5f3fda-6e78-4050-ad3e-6cbeb642e8a7/resume,Toronto,Ontario,,Canada,linkedin,2019-12-31T21:22:56.093Z,2023-05-25T17:52:15.094Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/anil-t-b84875106/,"Data science, Machine learning, Optimization",Graduate Degree (Masters),Senior Level (5+ Years),M.Sc. Data Science and Analytics,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Contract","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Ryerson University,True,True,True,True +e11a67f8-c6f9-4a30-906d-fb4b738c405c,sophie.tian@mail.utoronto.ca,Sophie,Tian,https://talenthub.vectorinstitute.ai/profiles/1932186/view_image/profile_photo.jpg,,,,,,,https://www.linkedin.com/in/tiansijie/,,False,False,,,,,,,2020-08-13T19:40:39.080Z,2023-05-25T18:08:02.620Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Fall 2022 (August - November),,Ms.,https://www.linkedin.com/in/tiansijie/,"Data science, Deep learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Applied Science in Industrial Engineering,"Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector",Full Time,"Data Scientist, Machine Learning Engineer, Software Engineer",University of Toronto,True,True,True,True +4a3b5533-c72b-4548-9869-bf02335e8fc3,d.mistry010@gmail.com,Dhruv,Mistry,https://talenthub.vectorinstitute.ai/profiles/3518216/view_image/1598592051581.jpeg,,,,,,,https://www.linkedin.com/in/dhruvkmistry/,,True,False,,,,,,linkedin,2023-06-12T15:09:25.044Z,2023-06-12T15:09:25.548Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/dhruvkmistry/,,,,,,,,,True,True,True,True +0ec6ebab-5828-4062-a23d-e0cdfe5ba0b9,carolamirault@rogers.com,Carol,Amirault,https://talenthub.vectorinstitute.ai/profiles/3521827/view_image/1516351414502.jpeg,,,,,,,https://www.linkedin.com/in/carol-amirault-0291b68/,,True,False,,,,,,linkedin,2023-06-13T21:39:24.633Z,2023-06-13T21:39:24.974Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/carol-amirault-0291b68/,,,,,,,,,True,True,True,True +dd81a31f-0434-4aae-a6d5-95ebf10f7e29,am.shahbandegan@gmail.com,Amirmohammad,Shahbandegan,https://talenthub.vectorinstitute.ai/profiles/2999875/view_image/Amir_headshot3.jpg,Computer Science Graduate Student,"Hello! I'm a thesis-based M.Sc. Computer Science (AI) student on track to complete my degree in August 2023. With a focus on natural language processing, particularly in large language models and transformer-based models, I possess a deep understanding of the intricacies of this exciting field. + +I have acquired valuable expertise in software engineering and machine learning concepts through my experiences in previous jobs and internships. I have a broad domain knowledge obtained from self-studying and personal projects. Equipped with a unique blend of expertise and experience, I am excited to make significant contributions in the ever-evolving field of AI. + +Feel free to reach out to me if you're interested in discussing AI-related projects, research opportunities, or simply connecting.",8077077779,,https://shahbandegan.me,,https://www.linkedin.com/in/amir-shahbandegan/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/dd81a31f-0434-4aae-a6d5-95ebf10f7e29/resume,,Ontario,,Canada,linkedin,2022-09-13T13:31:15.766Z,2023-06-07T18:00:27.872Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/amir-shahbandegan/?originalSubdomain=ir,"Computer vision, Natural language processing, Reinforcement learning, Robotics",Graduate Degree (Masters),Mid-Level (3-5 Years),MSc in Computer Science,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Lakehead University,True,False,True,True +60dd4b47-7439-47f6-9b84-ed116074216b,yingchang_hao@hotmail.com,Changhao,Ying,https://talenthub.vectorinstitute.ai/profiles/2946316/view_image/1517432342508.jpeg,Master of Engineering and Data Analytics from University of Toronto | Python ML Big Data | Chemical Plant Designer,,6478339837,,,,https://www.linkedin.com/in/changhao-ying-b046b2115/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/60dd4b47-7439-47f6-9b84-ed116074216b/resume,Toronto,Ontario,,Canada,linkedin,2022-08-09T22:45:18.272Z,2022-08-09T22:45:18.780Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/changhao-ying-b046b2115/,"Data science, Interpretability, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Engineering in Chemical Engineering with emphasis in Data Analytics and Advanced Manufacturing,"Education, Manufacturing , Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",University of Toronto,True,True,True,True +31c08d5e-233d-47ad-b9b5-af72bed05de0,samyuan101234@gmail.com,ZHIKUN,YUEN,https://talenthub.vectorinstitute.ai/profiles/2889872/view_image/1622479745747.jpeg,Machine Learning Engineer,,,,http://www.aboutsamyuen.com,,https://www.linkedin.com/in/zhikun-yuen-2418761a1/,,True,False,,Ottawa,Ontario,,Canada,linkedin,2022-07-06T01:19:09.596Z,2022-07-06T01:19:10.110Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/zhikun-yuen-2418761a1/,,Graduate Degree (Masters),Mid-Level (3-5 Years),"Master of Computer Science, Concentration in Applied AI (Thesis)","Financial Services, Health, Manufacturing , Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Internship, Co-op, Capstone Project","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Ottawa,True,True,True,True +8be8383a-8268-4a2d-8b42-c2893558203f,eshangoel000@gmail.com,Eshan,Goel,https://talenthub.vectorinstitute.ai/profiles/2891495/view_image/1596296704273.jpeg,Student,AI and ML enthusiast pursuing Masters in AI at the University of Ottawa.,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8be8383a-8268-4a2d-8b42-c2893558203f/resume,Ottawa,Ontario,,Canada,linkedin,2022-07-06T18:46:32.067Z,2022-07-06T18:46:32.681Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/eshan-goel-9837491a9/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Masters in Electrical and Computer Engineering with concentration in AI,"Financial Services, Public Administration (i.e Gov't), Software, Technology (Information and Media)","Full Time, Internship, Co-op, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Ottawa,True,True,True,True +9d55f0f3-e4ef-45c6-8884-d717ad5ddc7b,bilynskavio@gmail.com,Violetta,Bilynska,https://talenthub.vectorinstitute.ai/profiles/2887587/view_image/1609444238957.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-07-04T17:02:11.567Z,2022-07-04T17:02:12.248Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/violetta-bilynska-1564921b8/,,,,,,,,,True,True,True,True +d53e49c2-5070-411a-afa7-f204b9cf1605,devin.singh@mac.com,Dr. Devin,Singh,https://talenthub.vectorinstitute.ai/profiles/2879411/view_image/1557072235318.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-06-29T03:41:03.737Z,2022-06-29T03:41:04.301Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/dr-devin-singh-92862bb/,,,,,,,,,True,False,True,True +58cc432c-2040-43d6-80a2-b85390b5d08f,mbabaie@uwaterloo.ca,Morteza,Babaie,https://talenthub.vectorinstitute.ai/profiles/2780237/view_image/1595254492313.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-04-22T18:13:52.911Z,2022-07-06T15:16:58.933Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/morteza-babaie-6536a747/,,,,,,,,,True,True,True,True eb6d07f1-1b24-4e8a-9135-c041800993ed,onyeka.elele@rotman.utoronto.ca,Onyeka,Elele,https://talenthub.vectorinstitute.ai/profiles/2185239/view_image/472B9630-EDE9-4BA2-B9DD-0D442C35F6F0.jpeg,"Manager, Technology Risk Consulting (Ernst & Young)",,4372357352,,,,,,True,False,,Toronto,Ontario,,Canada,,2021-01-10T19:20:35.047Z,2021-01-10T19:31:06.964Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Joseph L. Rotman School of Management (University of Toronto),Already Graduated,,Ms.,https://www.linkedin.com/in/onyeka-elele-cpa-cga-acca-cisa-7584b92a/,,Graduate Degree (Masters),Senior Level (5+ Years),MBA,"Financial Services, Retail, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,,University of Toronto,True,True,True,True -ec9cf7ef-4f1c-449f-8ad5-1fec6c216bf2,akinola.olowookere@gmail.com,Akinola,Olowookere,https://talenthub.vectorinstitute.ai/profiles/2674709/view_image/1631648173292.jpeg,Research Assistant and Data Scientist,"I'm a PhD candidate in the department of physics at the University of Alberta. My PhD research focused on studying satellite interaction with the space environment and applying machine learning to space measurement diagnostics. I have developed an algorithm and trained different machine learning models used to infer plasma parameters from spacecraft measurements. Prior to the start of my PhD program, I worked at a banking industry and telecommunication company where I applied my expertise in SQL, and Python, combined with experience in data visualization to analyze data and collaborated with business and sales teams to improve the company’s revenue. -I'm a critical thinker and love working with data.",5879262065,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ec9cf7ef-4f1c-449f-8ad5-1fec6c216bf2/resume,Edmonton,Alberta,,Canada,linkedin,2022-02-02T18:03:15.324Z,2022-02-02T18:03:15.825Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Fall 2022 (August - November),A friend told me about Vector,Mr.,https://www.linkedin.com/in/akinola-olowookere/,"Data science, Deep learning, Natural language processing",Postgraduate Degree (PhD),Mid-Level (3-5 Years),PHD in Space Physics,"Construction or Infrastructure, Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Full Time, Internship, Contract","Data Analyst, Data Scientist, Machine Learning Researcher/Scientist ",Other,True,True,True,True -57313832-d0d9-45b4-87b2-74f13e0f29b2,faheemasaleem@yahoo.ca,Fahim,Salim,https://talenthub.vectorinstitute.ai/profiles/2126942/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-11-09T13:22:12.333Z,2020-11-09T13:22:12.527Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/fahim-salim-005b687/,,,,,,,,,True,False,True,True -20aa6257-ded8-46cd-b855-2d532b6d51ee,aly.s.khalifa@gmail.com,Aly,Khalifa,https://talenthub.vectorinstitute.ai/profiles/2075207/view_image/0.jpeg,"M.Sc. Candidate,Medical Biophysics",I am a master's student in the Department of Medical Biophysics at the University of Toronto. My research focuses on applying machine learning to improving the radiation therapy planning process for patients with cancer. ,6472004820,,,,https://www.linkedin.com/in/aly-khalifa/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/20aa6257-ded8-46cd-b855-2d532b6d51ee/resume,Toronto,Ontario,,Canada,linkedin,2020-09-22T17:26:12.651Z,2020-09-24T18:08:52.620Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Chris McIntosh,Already Graduated,,Mr.,https://www.linkedin.com/in/aly-khalifa/,,Graduate Degree (Masters),Entry Level (0-2 Years),Medical Biophysics,"Health, Software",Full Time,,University of Toronto,True,True,True,True -7fb394e7-6117-496f-9620-33f8ac094877,moeen.bagheri@ryerson.ca,Moeen,Bagheri,https://talenthub.vectorinstitute.ai/profiles/1980303/view_image/0.jpeg,Data Scientist,Graduated from Ryerson University with a Master of Science in Data Science and Analytics. I enjoy solving problems using machine learning techniques. I am very interested in deep learning models. ,6478222919,,https://github.com/bagherig,,https://www.linkedin.com/in/moeenbagheri/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/7fb394e7-6117-496f-9620-33f8ac094877/resume,Toronto,Ontario,,Canada,,2020-09-17T16:54:30.110Z,2020-09-23T16:37:47.614Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/moeenbagheri/,,Graduate Degree (Masters),Entry Level (0-2 Years),Data Science and Analytics,,"Full Time, Internship",,Ryerson University,True,False,True,True -02162900-e6df-4476-a11a-0489cda15ff8,krishr.somu@gmail.com,Rohit,Krishnan S,https://talenthub.vectorinstitute.ai/profiles/2570534/view_image/1626798945873.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-11-03T16:51:13.982Z,2021-11-03T16:51:14.254Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/rohit-krishnan-s/,,,,,,,,,True,False,True,True -1858b875-177a-4cde-8226-635bb9cdae51,seungjaeryanlee@gmail.com,Seungjae,Lee,https://talenthub.vectorinstitute.ai/profiles/1899533/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-08-01T02:46:17.636Z,2020-08-01T02:46:17.912Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/seungjaeryanlee/,,,,,,,,,True,True,True,True -b0a92381-25d1-482c-b5d8-b0eb5401d70b,dan.pajek@gmail.com,Daniel,Pajek,https://talenthub.vectorinstitute.ai/profiles/1631004/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-02-04T20:01:52.674Z,2020-02-04T20:01:52.932Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/danielpajek/,,,,,,,,,True,True,True,True +97eafc9b-7834-407e-870e-e3c921cedf84,preenakaur@gmail.com,Preena,Kaur,https://talenthub.vectorinstitute.ai/profiles/1624294/view_image/Preena_Pic2.jpg,,"Business Analytics professional with 11 years of experience in the field of analytics, business intelligence, and data mining. Strong SQL, predictive modeling, data processing and data modeling skills. Demonstrated project management skills from data acquisition to project completion. ",4379887869,,,,https://www.linkedin.com/in/preenakaur,,True,False,https://canadaai.jobboard.io/api/v1/profiles/97eafc9b-7834-407e-870e-e3c921cedf84/resume,Toronto,Ontario,,Canada,,2020-01-31T01:26:33.431Z,2021-02-24T23:09:10.619Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/preena-preena,"Anomaly detection, Healthcare and/or medical imaging, Machine learning",Graduate Degree (Masters),Senior Level (5+ Years),Master of Management in Artificial Intelligence,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Researcher/Scientist , Product/Project Manager",Queen's University,True,True,True,True c27c895a-daa6-4475-b340-a72b22429697,djrbrts2@illinois.edu,Dominic,Roberts,https://talenthub.vectorinstitute.ai/profiles/1671095/view_image/0.jpeg,Graduate Research Assistant,"My PhD work has dealt with computer vision and its applications to construction management, particularly in the area of activity analysis of construction resources. My primary current research focus is on semantic segmentation of scenes depicting built environments. I am currently seeking an computer vision research internship for Summer 2020. ",+12179795599,,https://djr2015.github.io/,,https://www.linkedin.com/in/dominic-roberts-7471a75a/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c27c895a-daa6-4475-b340-a72b22429697/resume,Urbana,Illinois,,United States,linkedin,2020-03-11T03:31:35.461Z,2020-03-11T03:31:35.688Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/dominic-roberts-7471a75a/,,Postgraduate Degree (PhD),,Computer Science,"Technology (Information and Media), Technology (Product Development)",Internship,,Other,True,False,True,True f8f6b6ba-ecd3-4f76-ab8f-4ffbdbe00545,zihan.jiang@rotman.utoronto.ca,Helen,Jiang,https://talenthub.vectorinstitute.ai/profiles/1616186/view_image/1.jpg,Data Science | Master of Management Analytics - Rotman School of Management,"Dear Hiring Manager, @@ -858,38 +780,102 @@ I am actively searching for a machine learning and big data analysis related ful Best regards, Helen Jiang",4165920616,,,,https://www.linkedin.com/in/helen-jiang/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f8f6b6ba-ecd3-4f76-ab8f-4ffbdbe00545/resume,Toronto,Ontario,,Canada,,2020-01-24T20:41:32.378Z,2020-02-06T12:55:19.529Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/helen-jiang/,,Graduate Degree (Masters),,Master of Management Analytics,"Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Contract",,University of Toronto,True,True,True,True 42c4c535-8241-47df-bff5-03cfabe6bf1e,baiwu.zhang@mail.utoronto.ca,Baiwu (Chris),Zhang,https://talenthub.vectorinstitute.ai/profiles/1564037/view_image/0.jpeg,,"Interested in Adversarial machine learning, privacy, and big data technologies. ",,,http://bwuzhang.github.io,,https://www.linkedin.com/in/bwuzhang/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/42c4c535-8241-47df-bff5-03cfabe6bf1e/resume,,,,,linkedin,2019-12-14T18:28:49.556Z,2020-06-21T01:12:53.529Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Nicolas Papernot,Already Graduated,,Mr.,https://www.linkedin.com/in/bwuzhang/,,Graduate Degree (Masters),Entry Level (0-2 Years),MEng,"Financial Services, Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship",,University of Toronto,True,True,True,True -8b91e2f2-3266-4706-a5d0-6ae09008347f,snanoudjal@aimsammi.org,Steve,Nanoudjal,https://talenthub.vectorinstitute.ai/profiles/1681175/view_image/0.jpeg,,"Steve Nanoudjal was born on 29/07/1990 in N'Djamena, Chad. He obtained a scientific baccalaureate serie ""C"" in 2010 in Chad, a bachelor's degree in Mathematics and Computer Science at the University of Ngaoundere in Cameroon in 2015. And a Master in Data Science and Big Data at ENSIAS / Mohamed V University of Rabat in Morocco in 2018. Currently in African Master Machine Intelligence (AMMI) at the African Institute for Mathematical Science in Rwanda.",+250787126445,,,,https://www.linkedin.com/in/steve-nanoudjal,stevenanoudjal,True,False,https://canadaai.jobboard.io/api/v1/profiles/8b91e2f2-3266-4706-a5d0-6ae09008347f/resume,Kigali,Kigali Province,,Rwanda,linkedin,2020-03-19T16:21:37.171Z,2020-03-19T16:21:37.465Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/steve-nanoudjal,,High School,,Master Degree,"Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract",,Other,True,True,True,True -0311cb1d-5314-48d7-b011-7b974b840b76,vinkushdhamija16@gmail.com,Vinkush,Dhamija,https://talenthub.vectorinstitute.ai/profiles/2512254/view_image/1628455872999.jpeg,,,4379741393,,,,https://www.linkedin.com/in/vinkushdhamija,,True,False,,Toronto,Ontario,,Canada,linkedin,2021-09-16T15:21:42.718Z,2021-09-16T15:21:42.959Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/vinkushdhamija,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management Analytics,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",University of Toronto,True,False,True,True -79984933-7612-45f9-9b95-ed241b496f63,audrina@cs.toronto.edu,Audrina,Zhou,https://talenthub.vectorinstitute.ai/profiles/1546235/view_image/0.jpeg,Computer Science PhD Student,,+1 613-600-2824,,,,https://www.linkedin.com/in/audrina-zhou/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/79984933-7612-45f9-9b95-ed241b496f63/resume,Toronto,Ontario,,Canada,linkedin,2019-12-02T17:34:06.067Z,2019-12-02T17:34:06.299Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Dr. Quaid Morris,,,Miss.,https://www.linkedin.com/in/audrina-zhou/,,Postgraduate Degree (PhD),,"DPhil Direct-Entry, Computer Science",,"Internship, Co-op",,University of Toronto,True,True,True,True -866ed254-3cf7-4d33-a670-57c8f5cdf5d4,weisisi1115@gmail.com,Sisi,Wei,https://talenthub.vectorinstitute.ai/profiles/1553138/view_image/0.jpeg,,,,,,,https://www.linkedin.com/in/sisiw/,,True,False,,,,,,linkedin,2019-12-05T05:05:59.337Z,2019-12-05T05:05:59.507Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Ms.,https://www.linkedin.com/in/sisiw/,,,,Master of Management Analytics,"Financial Services, Retail","Full Time, Capstone Project",,Queen's University,True,True,True,True +6de13811-9d2d-4880-892f-acd5013bbb89,hjf6318567@gmail.com,Yuan,Wu,https://talenthub.vectorinstitute.ai/profiles/2148534/view_image/0.jpeg,,"I am a third-year Ph.D. student majoring in Computer Science at Carleton University. I am supervised by Dr. Ahmed El-Roby and Dr. Diana Inkpen. My research interests lie in transfer learning, especially applying adversarial learning in domain adaptation and multi-task learning.",3437778277,,,,https://www.linkedin.com/in/yuan-wu-953208150/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6de13811-9d2d-4880-892f-acd5013bbb89/resume,Ottawa,Ontario,,Canada,linkedin,2020-12-02T14:34:22.093Z,2020-12-04T13:42:22.529Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/yuan-wu-953208150/,"Adversarial learning, Computer vision, Deep learning, Machine learning, Representation learning, Transfer learning",Postgraduate Degree (PhD),Entry Level (0-2 Years),Computer Science,Technology (Information and Media),Internship,,Carleton University,True,True,True,True +20aa6257-ded8-46cd-b855-2d532b6d51ee,aly.s.khalifa@gmail.com,Aly,Khalifa,https://talenthub.vectorinstitute.ai/profiles/2075207/view_image/0.jpeg,"M.Sc. Candidate,Medical Biophysics",I am a master's student in the Department of Medical Biophysics at the University of Toronto. My research focuses on applying machine learning to improving the radiation therapy planning process for patients with cancer. ,6472004820,,,,https://www.linkedin.com/in/aly-khalifa/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/20aa6257-ded8-46cd-b855-2d532b6d51ee/resume,Toronto,Ontario,,Canada,linkedin,2020-09-22T17:26:12.651Z,2020-09-24T18:08:52.620Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Chris McIntosh,Already Graduated,,Mr.,https://www.linkedin.com/in/aly-khalifa/,,Graduate Degree (Masters),Entry Level (0-2 Years),Medical Biophysics,"Health, Software",Full Time,,University of Toronto,True,True,True,True +2b8e5841-c5b6-4358-9405-6ac3ef60f1be,aditi895@yorku.ca,Aditi,Mishra,https://talenthub.vectorinstitute.ai/profiles/1980273/view_image/DesktopPic.png,,,,,,,https://linkedin.com/in/aditi-mishra-494746161,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2b8e5841-c5b6-4358-9405-6ac3ef60f1be/resume,,,,,,2020-09-17T16:54:27.479Z,2020-09-18T07:08:37.974Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,linkedin.com/in/aditi-mishra-494746161,,Graduate Degree (Masters),Mid-Level (3-5 Years),Masters in Business Analytics,"Education, Financial Services, Health, Professional Services (e.g Consulting), Retail, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Capstone Project",,York University,True,True,True,True 65294639-2c2a-43c7-a4ad-8b799e37b72c,zhfeng0718@gmail.com,Huafeng,Zhang,https://talenthub.vectorinstitute.ai/profiles/1617197/view_image/0.jpeg,,,4373430893,,https://github.com/zhfeng18,,https://www.linkedin.com/in/huafeng-zhang-atucla/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/65294639-2c2a-43c7-a4ad-8b799e37b72c/resume,Toronto,Ontario,,Canada,linkedin,2020-01-25T20:52:53.382Z,2020-01-25T20:52:53.550Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/huafeng-zhang-atucla/,,Graduate Degree (Masters),,Master of Business Analytics,"Financial Services, Professional Services (e.g Consulting), Retail",Full Time,,York University,True,False,True,True -19518606-65ec-4421-bbf5-a3f33b144e2b,anitahu113@gmail.com,Anita,Hu,https://talenthub.vectorinstitute.ai/profiles/1648646/view_image/0.jpeg,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/19518606-65ec-4421-bbf5-a3f33b144e2b/resume,,,,,linkedin,2020-02-20T05:15:18.689Z,2020-02-20T05:15:18.846Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Other/Undetermined,undergrad student interested in pursing ai as a career,Ms.,https://www.linkedin.com/in/anitahu113/,,Undergraduate Degree (Bachelors),,Mechatronics Engineering,Software,"Internship, Co-op",,University of Waterloo,True,False,True,True -cd147e35-2988-462c-9fb3-01317c6f0929,alokjestshukla@gmail.com,Alok Kumar,"Shukla, PhD",https://talenthub.vectorinstitute.ai/profiles/1658607/view_image/0.jpeg,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/cd147e35-2988-462c-9fb3-01317c6f0929/resume,,,,,linkedin,2020-03-02T12:30:13.947Z,2020-03-02T12:30:14.136Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Student or Postdoc of a Vector Faculty Member,,Already Graduated,,Dr.,https://www.linkedin.com/in/alok-kumar-shukla-phd-5269856a/,,Postgraduate Degree (PhD),,PostDoc,"Education, Health",Full Time,,Other,True,True,True,True 469e09f6-e3ae-4963-a407-65867c3a02fe,sajad.n@gmail.com,Sajad,Norouzi,https://talenthub.vectorinstitute.ai/profiles/1720660/view_image/0.jpeg,,,,,http://www.cs.toronto.edu/~sajadn/,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/469e09f6-e3ae-4963-a407-65867c3a02fe/resume,,,,,linkedin,2020-04-16T04:33:43.901Z,2020-11-06T16:42:21.233Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,David J Fleet,Already Graduated,,Mr.,https://www.linkedin.com/in/sajad-norouzi/,,Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Science,Software,"Full Time, Internship",,University of Toronto,True,True,True,True -9d4f5cc1-0b8c-40a5-9adb-455e68305924,liuziyong0621@msn.com,Ziyong,Liu,https://talenthub.vectorinstitute.ai/profiles/1563034/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-13T14:43:22.039Z,2019-12-13T14:43:22.340Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/ziyong-liu-93b5b485/,,,,,,,,,True,False,True,True +7fb394e7-6117-496f-9620-33f8ac094877,moeen.bagheri@ryerson.ca,Moeen,Bagheri,https://talenthub.vectorinstitute.ai/profiles/1980303/view_image/0.jpeg,Data Scientist,Graduated from Ryerson University with a Master of Science in Data Science and Analytics. I enjoy solving problems using machine learning techniques. I am very interested in deep learning models. ,6478222919,,https://github.com/bagherig,,https://www.linkedin.com/in/moeenbagheri/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/7fb394e7-6117-496f-9620-33f8ac094877/resume,Toronto,Ontario,,Canada,,2020-09-17T16:54:30.110Z,2020-09-23T16:37:47.614Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/moeenbagheri/,,Graduate Degree (Masters),Entry Level (0-2 Years),Data Science and Analytics,,"Full Time, Internship",,Ryerson University,True,False,True,True +866ed254-3cf7-4d33-a670-57c8f5cdf5d4,weisisi1115@gmail.com,Sisi,Wei,https://talenthub.vectorinstitute.ai/profiles/1553138/view_image/0.jpeg,,,,,,,https://www.linkedin.com/in/sisiw/,,True,False,,,,,,linkedin,2019-12-05T05:05:59.337Z,2019-12-05T05:05:59.507Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Ms.,https://www.linkedin.com/in/sisiw/,,,,Master of Management Analytics,"Financial Services, Retail","Full Time, Capstone Project",,Queen's University,True,True,True,True +b0a92381-25d1-482c-b5d8-b0eb5401d70b,dan.pajek@gmail.com,Daniel,Pajek,https://talenthub.vectorinstitute.ai/profiles/1631004/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-02-04T20:01:52.674Z,2020-02-04T20:01:52.932Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/danielpajek/,,,,,,,,,True,True,True,True 732a5ac7-605f-4955-a678-d8d62c2299af,randy.harnarinesingh@gmail.com,Randy,Harnarinesingh,https://talenthub.vectorinstitute.ai/profiles/1660746/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-03-04T01:24:30.482Z,2020-03-04T01:24:30.887Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/randy-harnarinesingh/,,,,,,,,,True,True,True,True +8b91e2f2-3266-4706-a5d0-6ae09008347f,snanoudjal@aimsammi.org,Steve,Nanoudjal,https://talenthub.vectorinstitute.ai/profiles/1681175/view_image/0.jpeg,,"Steve Nanoudjal was born on 29/07/1990 in N'Djamena, Chad. He obtained a scientific baccalaureate serie ""C"" in 2010 in Chad, a bachelor's degree in Mathematics and Computer Science at the University of Ngaoundere in Cameroon in 2015. And a Master in Data Science and Big Data at ENSIAS / Mohamed V University of Rabat in Morocco in 2018. Currently in African Master Machine Intelligence (AMMI) at the African Institute for Mathematical Science in Rwanda.",+250787126445,,,,https://www.linkedin.com/in/steve-nanoudjal,stevenanoudjal,True,False,https://canadaai.jobboard.io/api/v1/profiles/8b91e2f2-3266-4706-a5d0-6ae09008347f/resume,Kigali,Kigali Province,,Rwanda,linkedin,2020-03-19T16:21:37.171Z,2020-03-19T16:21:37.465Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/steve-nanoudjal,,High School,,Master Degree,"Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract",,Other,True,True,True,True +79984933-7612-45f9-9b95-ed241b496f63,audrina@cs.toronto.edu,Audrina,Zhou,https://talenthub.vectorinstitute.ai/profiles/1546235/view_image/0.jpeg,Computer Science PhD Student,,+1 613-600-2824,,,,https://www.linkedin.com/in/audrina-zhou/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/79984933-7612-45f9-9b95-ed241b496f63/resume,Toronto,Ontario,,Canada,linkedin,2019-12-02T17:34:06.067Z,2019-12-02T17:34:06.299Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Dr. Quaid Morris,,,Miss.,https://www.linkedin.com/in/audrina-zhou/,,Postgraduate Degree (PhD),,"DPhil Direct-Entry, Computer Science",,"Internship, Co-op",,University of Toronto,True,True,True,True +73160081-57ee-4264-89e0-e91a69e56747,martin.jacob.persaud@gmail.com,Martin,"Persaud, CPA",https://talenthub.vectorinstitute.ai/profiles/2077086/view_image/0.jpeg,Experienced strategy and growth professional,,6476887403,,,,https://linkedin.com/in/martin-persaud-cpa-2385a34b,,True,False,https://canadaai.jobboard.io/api/v1/profiles/73160081-57ee-4264-89e0-e91a69e56747/resume,Toronto,Ontario,,Canada,linkedin,2020-09-24T02:28:34.025Z,2020-09-24T02:28:34.302Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2021,,Mr.,https://www.linkedin.com/in/martin-persaud-cpa-2385a34b/,,Graduate Degree (Masters),Senior Level (5+ Years),Master's of Management in Artificial Intelligence,"Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Capstone Project",,Queen's University,True,True,True,True +0311cb1d-5314-48d7-b011-7b974b840b76,vinkushdhamija16@gmail.com,Vinkush,Dhamija,https://talenthub.vectorinstitute.ai/profiles/2512254/view_image/1628455872999.jpeg,,,4379741393,,,,https://www.linkedin.com/in/vinkushdhamija,,True,False,,Toronto,Ontario,,Canada,linkedin,2021-09-16T15:21:42.718Z,2021-09-16T15:21:42.959Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/vinkushdhamija,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management Analytics,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",University of Toronto,True,False,True,True +a86298c7-ff91-4847-af0c-1c8fb195b9de,tyler.hennick@gmail.com,Tyler,Hennick,https://talenthub.vectorinstitute.ai/profiles/1525438/view_image/0.jpeg,,,,,,,https://www.linkedin.com/in/tylerhennick/,,True,False,,Toronto,Ontario,,Canada,linkedin,2019-11-18T00:37:30.717Z,2019-11-18T00:37:30.899Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,,,Mr.,https://www.linkedin.com/in/tylerhennick/,,,,2019,,Full Time,,Queen's University,,,True, +4ed35da5-6864-4d75-8925-ff71236f7e4f,shijulu11@gmail.com,Lucas,Shi,https://talenthub.vectorinstitute.ai/profiles/1545948/view_image/0.jpeg,,,6476496611,,,,https://www.linkedin.com/in/shijulu/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4ed35da5-6864-4d75-8925-ff71236f7e4f/resume,Toronto,Ontario,,Canada,linkedin,2019-12-02T15:16:10.091Z,2020-08-07T17:37:57.592Z,False,False,Recognized Masters Program,Yes,Post Graduate Affiliate,,Already Graduated,,Mr.,https://www.linkedin.com/in/shijulu/,,Graduate Degree (Masters),Mid-Level (3-5 Years),MMAI,"Financial Services, Manufacturing , Technology (Information and Media)","Full Time, Contract",,University of Toronto,True,True,True,True +4afa2c10-7a75-4bec-b50d-b97da8f95baa,20me6@queensu.ca,mutaz,efranji,https://talenthub.vectorinstitute.ai/profiles/2073172/view_image/mutaz_photo.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4afa2c10-7a75-4bec-b50d-b97da8f95baa/resume,,,,,,2020-09-21T23:05:28.314Z,2021-01-14T16:25:48.980Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Smith Business School - MAAI Program,Already Graduated,,Mr.,https://www.linkedin.com/in/mutaz-efranji-119b7030/,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Management of Artificial Intelligence (MAAI),"Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Co-op, Contract, Capstone Project",,Queen's University,True,True,True,True +cd147e35-2988-462c-9fb3-01317c6f0929,alokjestshukla@gmail.com,Alok Kumar,"Shukla, PhD",https://talenthub.vectorinstitute.ai/profiles/1658607/view_image/0.jpeg,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/cd147e35-2988-462c-9fb3-01317c6f0929/resume,,,,,linkedin,2020-03-02T12:30:13.947Z,2020-03-02T12:30:14.136Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Student or Postdoc of a Vector Faculty Member,,Already Graduated,,Dr.,https://www.linkedin.com/in/alok-kumar-shukla-phd-5269856a/,,Postgraduate Degree (PhD),,PostDoc,"Education, Health",Full Time,,Other,True,True,True,True f662ca60-4a27-4bed-9dc5-c82cefee0f18,vaibhav.bhat2097@gmail.com,Vaibhav Suresh,Bhat,https://talenthub.vectorinstitute.ai/profiles/1553748/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-05T14:37:32.937Z,2019-12-05T14:37:33.161Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/vaibhav-suresh-bhat-77a030193/,,,,,,,,,True,False,True,True +19518606-65ec-4421-bbf5-a3f33b144e2b,anitahu113@gmail.com,Anita,Hu,https://talenthub.vectorinstitute.ai/profiles/1648646/view_image/0.jpeg,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/19518606-65ec-4421-bbf5-a3f33b144e2b/resume,,,,,linkedin,2020-02-20T05:15:18.689Z,2020-02-20T05:15:18.846Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Other/Undetermined,undergrad student interested in pursing ai as a career,Ms.,https://www.linkedin.com/in/anitahu113/,,Undergraduate Degree (Bachelors),,Mechatronics Engineering,Software,"Internship, Co-op",,University of Waterloo,True,False,True,True +e275d669-c994-4159-885c-b8ed5c8d682d,danand.devanand@gmail.com,Devanand,Padmakumar,https://talenthub.vectorinstitute.ai/profiles/2082397/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-09-29T15:29:06.451Z,2020-09-29T15:29:06.675Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/devanand-padmakumar/,,,,,,,,,True,True,True,True +9d4f5cc1-0b8c-40a5-9adb-455e68305924,liuziyong0621@msn.com,Ziyong,Liu,https://talenthub.vectorinstitute.ai/profiles/1563034/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-13T14:43:22.039Z,2019-12-13T14:43:22.340Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/ziyong-liu-93b5b485/,,,,,,,,,True,False,True,True +c9ab75e5-6af1-42e6-bdf6-472fa6046e00,donya.hamzeheian@gmail.com,Donya,Hamzeian,https://talenthub.vectorinstitute.ai/profiles/2226237/view_image/1555782271035.jpeg,Data Scientist | NLP engineer ,"I am a data scientist with a focus on Natural Language Processing. I will soon receive my Masters degree in statistics from the University of Waterloo. My Master's thesis is about using machine learning algorithms for finding the topics of COVID-19 Open Research Dataset. I managed to achieve outstanding results. +• Bachelor in Computer Science (minor in Economics) +• 4+ years experience in statistical data analysis, machine learning, and data visualization +• 1+ years of experience with deep learning models Convolution Neural Networks (CNN), Recurrent Neural Networks (RNN), and BERT in pytorch and Keras +• Experience in performing Feature Selection, Supporting Vector Machines (SVM), Naive Bayes, K-Nearest Neighbors (KNN), Random Forest, Boosting to train and test the huge data sets.",2265059329,,,,https://www.linkedin.com/in/donya-hamzeian-a7ba48130/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c9ab75e5-6af1-42e6-bdf6-472fa6046e00/resume,Toronto,Ontario,,Canada,linkedin,2021-02-10T21:12:18.648Z,2021-03-24T00:43:54.703Z,False,False,Recognized Masters Program,Yes,Other/Unsure,Ali Ghodsi,Already Graduated,My professor is a Vector Affiliate,Mrs.,https://www.linkedin.com/in/donya-hamzeian-a7ba48130/,"Data science, Deep learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),MMATH in statistics,"Financial Services, Health, Technology (Information and Media), Technology (Product Development)","Full Time, Internship",,University of Waterloo,True,True,True,True +9145fb8b-93a3-4133-ae4e-4028391e4ad0,rashidi.zana@gmail.com,Zana,Rashidi,https://talenthub.vectorinstitute.ai/profiles/2116943/view_image/IMG_0118.png,Machine Learning Researcher,"I graduated from my bachelors in Computer Engineering at Sharif University of Technology, Iran. I studied my Masters in Computer Science at York University, Canada. I'm currently a Research Assistant at York University. ",6479289027,,https://github.com/zanarashidi,,https://www.linkedin.com/in/zana-rashidi/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9145fb8b-93a3-4133-ae4e-4028391e4ad0/resume,Toronto,Ontario,,Canada,linkedin,2020-10-30T01:54:49.898Z,2021-01-05T16:30:24.381Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ruth Urner (Thesis Committee),Already Graduated,,Mr.,https://www.linkedin.com/in/zana-rashidi/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship",,York University,True,True,True,True +422b3ff0-03d1-4c4f-a51e-7633ea12aff3,jialin.liu@queensu.ca,Xixi,Liu,https://talenthub.vectorinstitute.ai/profiles/1863332/view_image/XIXI.jpg,Master of Management Analytics at Smith School of Business at Queen’s University,,4376887777,,,,https://www.linkedin.com/in/liuxixi677/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/422b3ff0-03d1-4c4f-a51e-7633ea12aff3/resume,Toronto,Ontario,,Canada,,2020-07-08T17:03:19.377Z,2020-07-21T15:03:48.198Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/liuxixi677/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of management analytics,"Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Technology (Product Development)","Full Time, Internship, Co-op, Contract",,Queen's University,True,True,True,True +2a19ad53-91cd-4152-9b46-963e4be75943,rv.97ad@gmail.com,Rohan,Verma,https://talenthub.vectorinstitute.ai/profiles/2716120/view_image/1580751470185.jpeg,,,17809324161,,,,https://www.linkedin.com/in/therohanverma/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2a19ad53-91cd-4152-9b46-963e4be75943/resume,Edmonton,Alberta,,Canada,linkedin,2022-03-06T01:42:00.505Z,2022-03-06T01:42:01.009Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/therohanverma/,"Anomaly detection, Computer vision, Data science, Deep learning, Healthcare and/or medical imaging, Machine learning, Natural language processing, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),M.Sc. in Computing Science,Type of Work is More Important to me than Sector,"Internship, Contract","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True +cf68b754-916b-4b33-b2ec-41e487820bf0,sayeh.sharifi@gmail.com,Sayeh,Sharify,https://talenthub.vectorinstitute.ai/profiles/1552635/view_image/Sayeh_photo2.JPEG,Senior Machine Learning Engineer,"Experienced PhD in Computer Engineering, from University of Toronto, with a demonstrated +history of research in designing accelerators for deep learning algorithms, skilled in Computer Architecture, Machine Learning, Algorithms and Data Structures, C/C++, and Python.",,,https://scholar.google.ca/citations?hl=en&user=1QehFwQAAAAJ&view_op=list_works&sortby=pubdate,,https://www.linkedin.com/in/sayeh-sharify-a72b9186,,True,False,https://canadaai.jobboard.io/api/v1/profiles/cf68b754-916b-4b33-b2ec-41e487820bf0/resume,Toronto,Ontario,,Canada,,2019-12-04T19:04:12.039Z,2020-04-02T01:51:16.134Z,False,False,Connected to Vector Research,Yes,Post Graduate Affiliate,,Already Graduated,,Mrs.,https://www.linkedin.com/in/sayeh-sharify-sharifymoghaddam,,Postgraduate Degree (PhD),Senior Level (5+ Years),"PhD, computer Engineering","Education, Health, Professional Services (e.g Consulting), Software",Full Time,,University of Toronto,True,True,True,True +3302552d-c97c-46da-bc56-227037c38f12,adelin.travers@oxfordalumni.org,Adelin,Travers,https://talenthub.vectorinstitute.ai/profiles/2113673/view_image/0.jpeg,PhD student in AI and Cyber security,,,,https://alkaet.github.io/,,https://www.linkedin.com/in/adelin-t-04946b60/,alkae_t,True,False,https://canadaai.jobboard.io/api/v1/profiles/3302552d-c97c-46da-bc56-227037c38f12/resume,,,,,linkedin,2020-10-27T03:33:25.642Z,2020-10-27T03:33:25.815Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/adelin-t-04946b60/,"Adversarial learning, AI safety, Privacy, anonymity, and/or security",Postgraduate Degree (PhD),Mid-Level (3-5 Years),PhD in ECE,,"Full Time, Internship, Co-op, Contract",,University of Toronto,True,True,True,True +ed93777e-9168-4521-b5bd-deff5040631a,kdesai@sfu.ca,Kunal Niranjan,Desai,https://talenthub.vectorinstitute.ai/profiles/1572162/view_image/0.jpeg,,,7783172763,,,,https://linkedin.com/in/kunal-desai-b01857103/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ed93777e-9168-4521-b5bd-deff5040631a/resume,,British Columbia,,Canada,linkedin,2019-12-22T12:01:29.630Z,2020-01-20T17:58:15.424Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://linkedin.com/in/kunal-desai-b01857103/,,,,Professional Master's Degree in Big Data,"Software, Technology (Product Development)","Internship, Co-op",,Other,True,False,True,True +dd2781b1-425c-433c-9530-205da27a52ab,eric.nielsen@mail.mcgill.ca,Eric,Nielsen,https://talenthub.vectorinstitute.ai/profiles/1552153/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-04T14:21:35.374Z,2019-12-04T14:21:35.734Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/ericandrewnielsen/,,,,Masters of Management Analytics,"Financial Services, Retail, Telecommunications",Full Time,,University of Toronto,True,False,True,True +c9535cc5-75cc-4531-ac90-5cd36446d07a,20el18@queensu.ca,Ernesto,Lang Oreamuno,https://talenthub.vectorinstitute.ai/profiles/2648568/view_image/smallweb-22554.jpg,,,3433649540,,,,https://www.linkedin.com/in/ernesto-lang-oreamuno-aa8858219,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c9535cc5-75cc-4531-ac90-5cd36446d07a/resume,,,,,,2022-01-13T20:27:36.204Z,2022-01-17T19:36:00.171Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/ernesto-lang-oreamuno-aa8858219,,Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Computer Science,"Financial Services, Retail, Software, Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract, Capstone Project","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Software Engineer",Queen's University,True,True,True,True +6460969a-e281-4c2c-b571-0aea034224f0,wuga214@gmail.com,Ga,Wu,https://talenthub.vectorinstitute.ai/profiles/1505154/view_image/7734865.jpeg,Machine Learning PhD,"I am going to finish my Ph.D. study at the University of Toronto in April 2020. My research focuses on Recommender Systems, Machine Learning, Deep Learning. I have around 11 publications on machine learning& AI top tier conference and 5 papers under review. I had worked for Amazon, Layer6 AI, and Shopify in the last few years as a temporary data scientist",,,,,https://www.linkedin.com/in/mrwuga/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6460969a-e281-4c2c-b571-0aea034224f0/resume,,,,,,2019-11-01T17:00:05.609Z,2020-05-07T21:35:03.027Z,False,False,Connected to Vector Research,Yes,Post Graduate Affiliate,,Already Graduated,,Mr.,https://www.linkedin.com/in/mrwuga/,,Postgraduate Degree (PhD),,PhD information engineering,,Full Time,,University of Toronto,True,False,True,True +e8a05a7b-f423-4ed2-90a2-b840cda67a6c,oyew7070@mylaurier.ca,Einstein,Oyewole,https://talenthub.vectorinstitute.ai/profiles/1573808/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-24T18:27:39.929Z,2019-12-24T18:27:40.296Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/einstein-oyewole-8b2646178/,,,,,,,,,True,False,True,True +e1310676-d857-47a3-a465-709dec23c9db,april.l@queensu.ca,April,Liu,https://talenthub.vectorinstitute.ai/profiles/2671604/view_image/1632871298291.jpeg,Translator between Technology and Business,"Inspired financial services professional with 7+ years of experience, pursuing PMP with hands-on business analytics knowledge. Delivered 60+ projects on data interpretation, analytical and predictive modelling, machine learning and AI, and digital innovation design. Strong track record of analyzing data, managing complexity, and driving progress by adapting to fast-paced and changing environments, translating technology needs into business solutions, and collaborating with cross-functional teams to drive change and impact.",5197019865,,,,https://www.linkedin.com/in/april-l-a5155888,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e1310676-d857-47a3-a465-709dec23c9db/resume,London,Ontario,,Canada,linkedin,2022-01-31T23:26:15.769Z,2022-01-31T23:26:16.334Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,Smith School of Business,Already Graduated,,Miss.,N/A,"Natural language processing, Online learning, Recommender systems",Graduate Degree (Masters),Senior Level (5+ Years),Master of Financial Innovation and Technology,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Product/Project Manager",Queen's University,True,True,True,True +bd3dda80-503e-4339-bba4-28b0be686488,royi.brezner@gmail.com,Royi,Brezner,https://talenthub.vectorinstitute.ai/profiles/2321415/view_image/1566169626551.jpeg,,,6479875767,,,,,,True,False,,Toronto,Ontario,,Canada,linkedin,2021-04-18T23:13:40.101Z,2021-05-31T17:21:37.139Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/roybrezner/,"Healthcare and/or medical imaging, Law, ethics and policy, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Management in Artificial Intelligence (MMAI),"Financial Services, Health, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Product/Project Manager, Other ",Queen's University,True,True,True,True +fb52c405-786c-4a3c-b01f-9138b24c8963,kyewei22@yahoo.ca,Xinkai,Wei,https://talenthub.vectorinstitute.ai/profiles/2266857/view_image/1565149460817.jpeg,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/fb52c405-786c-4a3c-b01f-9138b24c8963/resume,,,,,linkedin,2021-03-12T02:59:08.159Z,2021-03-12T03:03:45.800Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Sanja Fidler,Winter 2021,,Mr.,https://www.linkedin.com/in/kyewei/,"Computer vision, Deep learning, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),"Computer Science, Masters","Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship",,University of Toronto,True,True,True,True +e453bd36-dfdd-45e5-934d-4d4f7c351eaf,rahijj@gmail.com,Rahij,Gillani,https://talenthub.vectorinstitute.ai/profiles/2277501/view_image/1613599483584.jpeg,Software Developer,"I graduated with a Bachelor's degree in Computer Science, and a Master's degree in Systems Design Engineering from the University of Waterloo, where I specialised in Machine Learning & AI. I enjoy programming, and I'm always looking for a challenge. I am also very passionate about coming up with creative solutions to new and existing problems, especially in the novel application of software. ",+12269783329,,https://rahijj.github.io/,,https://www.linkedin.com/in/rgillani/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e453bd36-dfdd-45e5-934d-4d4f7c351eaf/resume,Waterloo,Ontario,,Canada,linkedin,2021-03-19T04:05:45.489Z,2021-03-19T04:05:45.698Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,I Specialized in ML & AI during my MEng in Systems Design Engineering from the University of Waterloo. During that time I also took a course with Professor Hamid Tizoosh who is a faculty affiliate.,Mr.,https://www.linkedin.com/in/rgillani/,"Computer vision, Machine learning, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Systems Design Engineering,"Software, Technology (Product Development)","Full Time, Contract","Data Analyst, Data Scientist, Machine Learning Engineer, Software Engineer",University of Waterloo,True,False,True,True +f4163016-48ad-4883-b91b-2df00fb14c90,purvaja.soochit@brewai.com,Purvaja,Soochit,https://talenthub.vectorinstitute.ai/profiles/2807370/view_image/1650910992479.jpeg,Vice President BrewAI Canada,"Purvaja is an executive at BrewAI and is leading their Canadian practice. She is helping clients adopt AI faster with BrewAI's end to end automation no code platform. She is an adaptable and transformational leader with an ability to build a team from the ground up, manage large scale changes across multiple teams in an organization, and develop opportunities that further establish organizational goals.",5879983052,,,,https://www.linkedin.com/in/purvajasoochit/,,True,False,,Calgary,Alberta,,Canada,linkedin,2022-05-11T21:53:57.862Z,2022-05-11T21:53:58.637Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,Employer,Mrs.,https://www.linkedin.com/in/purvajasoochit/,"Deep learning, Machine learning, Wearable technology and/or Internet of Things",Undergraduate Degree (Bachelors),Senior Level (5+ Years),Actuarial Science and Statistics,"Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Contract",Other ,Other,True,False,True,True +6aff481b-2588-4c9a-86b3-617ad4723203,will_mueller@live.ca,Willem,Mueller,https://talenthub.vectorinstitute.ai/profiles/2115334/view_image/0.jpeg,,,6137701433,,,,https://www.linkedin.com/in/willemmueller,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6aff481b-2588-4c9a-86b3-617ad4723203/resume,Toronto,Ontario,,Canada,linkedin,2020-10-28T14:36:05.505Z,2020-10-28T14:36:05.737Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/willemmueller,,Graduate Degree (Masters),Entry Level (0-2 Years),Electrical and Computer Engineering,"Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,,Queen's University,True,True,True,True +01fa65cf-59b0-472f-968f-97d50f0e74bb,jess.wyndowe@loblaw.ca,Jess,Wyndowe,https://talenthub.vectorinstitute.ai/profiles/2159126/view_image/Professional_Pic.jpg,Talent Acquisition Specialist,"Hi, I’m Jess. Thanks for stopping by my profile! +I have always been an inquisitive person who has a genuine interest in people and what they do. +This in combination with my desire to help connect people has brought me to a career in recruitment. I am a natural networker by heart and take pride in building high performing teams for organizations while helping people grow their careers. +I currently work on the Talent Acquisition team with Loblaw Digital managing full cycle recruitment. +I am committed to providing a positive and engaging candidate experience and finding exceptional talent for our organization.",(437) 226-7501,,,,https://www.linkedin.com/in/jesswyndowe/,,True,False,,Toronto,Ontario,,Canada,,2020-12-14T18:01:30.975Z,2020-12-14T18:01:31.006Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,"We have an affiliation through Loblaw Digital, we have attended events",Mrs.,https://www.linkedin.com/in/jesswyndowe/,"Deep learning, Meta-learning, Online learning",Undergraduate Degree (Bachelors),Senior Level (5+ Years),Bachelor of Arts,Retail,Full Time,,Other,True,True,True,True +070e90ed-a224-4eae-b51a-ea88ed2729df,s.hilal@rotman.utoronto.ca,Sleiman,Hilal,https://talenthub.vectorinstitute.ai/profiles/2185220/view_image/Photo.png,MBA Student,,,,,,https://www.linkedin.com/in/sleiman-hilal/,,True,False,,Toronto,Ontario,,Canada,,2021-01-10T19:20:32.991Z,2021-01-11T13:49:33.585Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/sleiman-hilal/,,Graduate Degree (Masters),Senior Level (5+ Years),MBA,"Construction or Infrastructure, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Contract",,University of Toronto,True,False,True,True +53db1167-94dc-4b1a-bab7-d70fdbd74aa4,ericfromhust@gmail.com,Zhaoliang,Yang,https://talenthub.vectorinstitute.ai/profiles/2156034/view_image/Matt_Yang.jpeg,Machine Learning Engineer,An experienced machine learning engineer with expertise in NLP and CV.,5197011037,,https://github.com/mattgithub1919,,,,True,False,,,,,,,2020-12-10T20:25:22.088Z,2021-02-16T15:01:10.655Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/zhaoliangyang/,"Deep learning, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Computer Science,"Financial Services, Health, Software, Technology (Information and Media)",Full Time,,Western University,True,True,True,True +78ab3302-a232-4ef1-ad22-70a8b9af7e6e,ortiztorresmarc@gmail.com,Marc,Ortiz Torres,https://talenthub.vectorinstitute.ai/profiles/1927341/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-08-11T16:11:20.335Z,2020-08-11T16:11:20.759Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/12346jsj/,,,,,,,,,True,False,True,True +66267f31-e012-4f18-8823-ee4a26be2b9e,james.liangyy@gmail.com,James,Liang,https://talenthub.vectorinstitute.ai/profiles/2122693/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-11-05T00:00:37.012Z,2020-11-05T00:00:37.185Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/james-l-3b150b134/,,,,,,,,,True,True,True,True +125b06aa-eb3c-4046-a29e-d66b9d9f9467,ratcliffe.e.r@gmail.com,Emma,Ratcliffe,https://talenthub.vectorinstitute.ai/profiles/2197568/view_image/1574725952443.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-01-19T20:35:20.162Z,2021-01-19T20:35:20.424Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/emma-ratcliffe-04166812a/,,,,,,,,,True,True,True,True +39127671-1ea0-4e2d-849b-5bb6c729c818,vbfall@gmail.com,Vitor,Falleiros,https://talenthub.vectorinstitute.ai/profiles/1890725/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-07-26T22:54:52.716Z,2020-07-26T22:54:53.055Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/vbfall/,,,,,,,,,True,False,True,True +51b30a12-1949-4b59-b9b4-4a724793a935,jason.lam@live.ca,Jason,Lam,https://talenthub.vectorinstitute.ai/profiles/1550621/view_image/FullSizeRender_2.JPG,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/51b30a12-1949-4b59-b9b4-4a724793a935/resume,,,,,,2019-12-03T15:52:44.696Z,2021-07-25T01:35:33.584Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/jasonlam1/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master Science,"Financial Services, Software, Type of Work is More Important to me than Sector",Full Time,,Queen's University,True,False,True,True +ee43dff8-c060-496f-a660-777877f98ddb,julielai2012@gmail.com,Julie,Lai,https://talenthub.vectorinstitute.ai/profiles/1552290/view_image/rotman_headshot.jpg,Master of Management Analytics (MMA) 2020,,,,,,https://www.linkedin.com/in/julie-lai-759777108/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ee43dff8-c060-496f-a660-777877f98ddb/resume,Toronto,Ontario,,Canada,linkedin,2019-12-04T15:24:11.152Z,2020-10-14T15:22:30.071Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/yimin-julie-lai-759777108/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management Analytics,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)",Full Time,,University of Toronto,True,True,True,True +397c2574-44ba-4a99-985b-7f8066fc4a96,nabila.abraham@gmail.com,Nabila,Abraham,https://talenthub.vectorinstitute.ai/profiles/1565034/view_image/0.jpeg,Deep Learning R&D,I'm a recent graduate from a thesis based MASc where I focused my efforts on medical image analysis using deep learning. I enjoy keeping up with new SOTA algorithms and all fields of ML are intriguing to me! My next career step is to work in R&D roles developing ML solutions from research to production!,,,http://www.nabilaabraham.com,,https://www.linkedin.com/in/nabilaabraham,,True,False,https://canadaai.jobboard.io/api/v1/profiles/397c2574-44ba-4a99-985b-7f8066fc4a96/resume,,,,,linkedin,2019-12-15T23:23:16.051Z,2019-12-15T23:23:16.238Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Miss.,https://www.linkedin.com/in/nabilaabraham,,,,Electrical and Computer Engineering,"Financial Services, Health, Retail","Full Time, Internship, Contract",,Ryerson University,True,False,True,True +685a5c0b-7190-4c3e-b830-7d2cedd848f1,hmzshk@hotmail.com,Hamza,Shaikh,https://talenthub.vectorinstitute.ai/profiles/1577533/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-30T19:58:28.315Z,2019-12-30T19:58:29.293Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/hmz-shk/,,,,,,,,,True,False,True,True +abada060-2183-4f38-818f-afd49fb78894,shawnlyu@cs.toronto.edu,Mengxuan,Lyu,https://talenthub.vectorinstitute.ai/profiles/1813400/view_image/IMG_1479-1.JPG,Software engineer / Deep Learning Engineer,"Accumulated solid programming skills from 2+ years of professional working experience as a software engineer. +Attained hands-on experience in initiating and implementing Machine Learning projects.",4379820215,,https://shawnlyu.com/,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/abada060-2183-4f38-818f-afd49fb78894/resume,Toronto,Ontario,,Canada,,2020-06-04T23:32:48.210Z,2020-10-21T14:27:22.826Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Frank Rudzicz,Already Graduated,,Mr.,https://www.linkedin.com/in/shawnlyuuoft/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Science in Applied Computing,"Software, Type of Work is More Important to me than Sector",Full Time,,University of Toronto,True,True,True,True +7e5bf44f-46fd-4061-b13f-0d7cf95ed2a6,mahsa.moghaddass@gmail.com,Mahsa,"Moghaddas, Ph.D.",https://talenthub.vectorinstitute.ai/profiles/1811921/view_image/0.jpeg,"Data science & Analytics, Operations Research Analyst",,,,,,https://www.linkedin.com/in/mahsa-moghaddas-0bb614b4/,,True,False,,Toronto,Ontario,,Canada,linkedin,2020-06-03T13:59:21.700Z,2020-06-03T13:59:21.940Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,i have heard from my friends,Ms.,https://www.linkedin.com/in/mahsa-moghaddas-0bb614b4/,,Postgraduate Degree (PhD),Entry Level (0-2 Years),i have graduated,"Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Contract",,Other,True,True,True,True +bae29e6c-35f6-4ffa-a878-91d37255a4fa,iaustinrex@gmail.com,Austin,Rex,https://talenthub.vectorinstitute.ai/profiles/1811690/view_image/onlineassignmentwriter-logo.png,,"Engineering assignments are of various different types and they usually cover a variety of subjects and they span various models and theories. To cover all areas one must have good research skills, but most often due a strict deadline students are not able to exercise their skills. This is when they should consider hiring engineering assignment writing service.",,,https://onlineassignmentwriter.com/assignment/engineering-assignment-help,,,,True,False,,,,,,,2020-06-03T09:59:32.765Z,2020-06-03T09:59:32.795Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Winter 2021,,Mr.,N/A,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),none,Education,Internship,,University of Guelph,True,True,True,True +c2ff860e-785b-455a-a0bb-dacf34516370,collin.jia1993@gmail.com,Ruoxi Collin,Jia,https://talenthub.vectorinstitute.ai/profiles/1813932/view_image/0.jpeg,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c2ff860e-785b-455a-a0bb-dacf34516370/resume,,,,,linkedin,2020-06-05T12:45:37.151Z,2020-06-05T12:45:37.332Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/collin-jia/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Business Analytics,"Financial Services, Professional Services (e.g Consulting), Software","Full Time, Internship",,York University,True,False,True,True +fa33ff97-fcce-41b6-b976-0200bd4483da,angelineyasodhara@gmail.com,Angeline,Yasodhara,https://talenthub.vectorinstitute.ai/profiles/1552156/view_image/0.jpeg,Computer Science MSc Student,,,,https://angeliney.github.io/,,https://linkedin.com/in/angelineyasodhara/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/fa33ff97-fcce-41b6-b976-0200bd4483da/resume,,,,,linkedin,2019-12-04T14:22:48.331Z,2019-12-04T14:22:48.509Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Anna Goldenberg,,,Ms.,https://linkedin.com/in/angelineyasodhara/,,,,MSc Computer Science,"Financial Services, Health, Retail, Telecommunications","Full Time, Internship, Co-op, Contract",,University of Toronto,True,False,True,True +92c907ab-9828-444c-a823-9b3d04601793,pranavbts2001@gmail.com,Pranav,Hari,https://talenthub.vectorinstitute.ai/profiles/1576692/view_image/0.jpeg,B.ENG Student at Carleton University,,6134025582,,,,https://www.linkedin.com/in/pranav-hari-5314b5173/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/92c907ab-9828-444c-a823-9b3d04601793/resume,Ottawa,Ontario,,Canada,linkedin,2019-12-29T20:44:00.042Z,2019-12-29T20:44:00.235Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,,Online job search,Ms.,https://www.linkedin.com/in/pranav-hari-5314b5173/,,,,Systems and Computer Engineering,"Software, Technology (Information and Media), Technology (Product Development)",Internship,,Carleton University,True,False,True,True +5a0f764d-84fc-409b-a7ce-5fbdef4c8cf8,amir.vaheb@gmail.com,Amir,Vaheb,https://talenthub.vectorinstitute.ai/profiles/2594653/view_image/1516996970618.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-11-24T14:05:10.147Z,2021-11-24T14:05:10.566Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/amirvaheb/,,,,,,,,,True,True,True,True b036eac6-5e58-4609-b2de-8cdf0b233ac8,bhaskaravineeth@gmail.com,Vin,Bhaskara,https://talenthub.vectorinstitute.ai/profiles/1550781/view_image/me_vin_pic_2.jpeg,"Research Engineer at Samsung AI, Vector Scholar in AI, MScAC (UofT), B.Tech. (IIT-G)","I'm currently working as a Research Engineer in the Computational Vision group at Samsung AI Research Toronto working on deep learning for image synthesis and enhancement. Over the past year, I've been working on deep learning with multi-frame burst imaging for alignment, denoising, demosaicing, and super-resolution. Before that I worked at Symantec Corp. on using machine learning models trained on Big Data (on Hadoop ecosystems) for malware detection. I am interested in fundamental research on topics including GANs, implicit neural representations, optimization, and interpretability. On the applied side, I am particularly interested in AI for healthcare, medicine, genomics and drug discovery. ",+1 (647) 639 1897,,,,https://www.linkedin.com/in/bhaskaraiitg/,bhaskaravineeth,True,False,https://canadaai.jobboard.io/api/v1/profiles/b036eac6-5e58-4609-b2de-8cdf0b233ac8/resume,Toronto,Ontario,,Canada,linkedin,2019-12-03T17:24:07.213Z,2021-11-22T03:44:39.952Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/bhaskaraiitg/,"Adversarial learning, Computational biology, Computer vision, Deep learning, Healthcare and/or medical imaging, Interpretability, Machine learning, Neuroscience, Optimization, Reinforcement learning, Representation learning, Self-supervised learning, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),"Master of Science in Applied Computing, Department of Computer Science","Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True 64967434-3883-4f5c-bdb6-4a74402695eb,linyiguo2020@gmail.com,Lincoln,Guo,https://talenthub.vectorinstitute.ai/profiles/1873939/view_image/0.jpeg,"Data Science, Machine Learning and AI","Lincoln Guo is a new master graduate majoring in Statistics at the University of Ottawa. Before arriving in Canada, he obtained his bachelor's degree in Mathematics and Applied Mathematics at Zhengzhou Univerisity in China. He has a solid foundation in math and stat and is very interested in challenging problems involved in statistical machine learning, Bayesian analysis and time series analysis. His graduate research mainly focuses on seasonal adjustment, state-space models and empirical Bayesian. Recently he is preparing for his thesis presentation and studying deep learning through Coursera besides the TA's work. In his spare time, he enjoys soccer, running and fitness. ",6136300521,,https://linyiguo96.github.io/,,https://www.linkedin.com/in/linyiguo96,,True,False,https://canadaai.jobboard.io/api/v1/profiles/64967434-3883-4f5c-bdb6-4a74402695eb/resume,Toronto,Ontario,,Canada,linkedin,2020-07-15T20:26:49.182Z,2020-10-04T18:27:13.798Z,False,False,Not Affiliated with Vector,No,Other/Unsure,N/A,Other/Undetermined,I have known Vector Institute for a long time and am applying for a job posted on the Vector Institute Website and that requires this account :),Mr.,https://www.linkedin.com/in/linyiguo96/,,Graduate Degree (Masters),Entry Level (0-2 Years),Statistics,"Financial Services, Health, Technology (Information and Media), Type of Work is More Important to me than Sector",Full Time,,University of Ottawa,True,False,True,True +e88aa2bc-57a5-455c-a308-f1b40c176d65,20wz12@queensu.ca,wei,zhou,https://talenthub.vectorinstitute.ai/profiles/2515973/view_image/WeChat_Image_20201217213431.jpg,Experienced Sales Professional Currently Enroll In the Master of Management Analytic Program,"Passionate, customer-focused finance professional with 5+ years of experience in finance and retail banking environment. Experience sales professional with excellent communication and interpersonal skills, able to communicate effectively within a team environment. An overachiever with a strong belief in constant learning and personal development. ",6479095688,,,,https://www.linkedin.com/in/wayne-zhou-4536a977,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e88aa2bc-57a5-455c-a308-f1b40c176d65/resume,Toronto,Ontario,,Canada,,2021-09-19T20:18:00.000Z,2021-09-22T20:46:12.405Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/wayne-zhou-4536a977,"Data science, Interpretability, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management Analytics,"Construction or Infrastructure, Education, Financial Services, Health, Public Administration (i.e Gov't), Retail, Telecommunications, Transportation","Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Analyst",Queen's University,True,True,True,True +128910ef-e867-4d51-a25e-133b7d6fc910,angela46253555@gmail.com,Jiaqi,Wang,https://talenthub.vectorinstitute.ai/profiles/2180632/view_image/jiaqi.jpg,MASc student at University of Toronto and Vector Institute,,2269780325,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/128910ef-e867-4d51-a25e-133b7d6fc910/resume,Toronto,Ontario,,Canada,,2021-01-06T21:12:59.611Z,2021-01-06T21:12:59.641Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Nicolas Papernot,Already Graduated,,Ms.,https://www.linkedin.com/in/jiaqi-wang-283782142/,"AI safety, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Applied Science,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Internship,,University of Toronto,True,True,True,True 210c373b-a766-4522-aae9-6d81932cca3e,daniel.castro@queensu.ca,Daniel,Castro,https://talenthub.vectorinstitute.ai/profiles/1932200/view_image/kpmgdani_cropped.png,"Candidate, Master of Management Analytics","Currently, a student at Queen's Smith School of Business completing a Master of Management Analytics. I hope to make a significant impact with the combination of my process improvement, solution delivery, and client service experiences. I aim to be a change agent within an organization that I am a part of and have been recognized as such from both PwC with a Spotlight Award and from Brock University with the Spirit of Brock Medal.",,,,,https://www.linkedin.com/in/dacastrodc/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/210c373b-a766-4522-aae9-6d81932cca3e/resume,Toronto,Ontario,,Canada,,2020-08-13T19:40:50.411Z,2020-08-13T20:35:52.481Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Queen's Smith School of Business,Already Graduated,,Mr.,https://www.linkedin.com/in/dacastrodc/,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Management Analytics,"Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,,Queen's University,True,False,True,True +c4855b0d-e42f-416f-81a9-5373bd8ea7d0,matura2121@gmail.com,Matura,Inthira,https://talenthub.vectorinstitute.ai/profiles/2070213/view_image/0.jpeg,Quality Improvement Coordinator and Masters of Health Informatics Candidate,A Masters of Health Informatics candidate at the University of Toronto with a history of working in health services. Currently interested in understanding and improving the interoperability of home health services using various technology and policies. ,647-987-5729,,,,https://www.linkedin.com/in/matura-i-a59745142,,True,False,,Toronto,Ontario,,Canada,linkedin,2020-09-19T16:53:09.066Z,2020-09-19T16:55:01.832Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,"Institute of Health Policy, Management and Evaluation",Already Graduated,,Ms.,https://www.linkedin.com/in/matura-i-a59745142/,,Graduate Degree (Masters),Entry Level (0-2 Years),Health Informatics,"Health, Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op",,University of Toronto,True,False,True,True cf78c2e5-ff2f-4c85-beb1-141fc814c397,ssing548@uwo.ca,Sumeet,Singh,https://talenthub.vectorinstitute.ai/profiles/1870657/view_image/IMG_6211-01.jpeg,Graduate Student,"I am a Master’s student in Software Engineering at Western University, London, Ontario with a passion to solve problems using software and Artificial Intelligence. Currently working on a Pedestrian Detection System for Smart Vehicles using Computer Vision in my Master's Program. Looking for any opportunities in: Software Development, Applied Machine Learning, Data Analytics, Web Development (Full-Stack). Skills/Interests: Java, Python, JavaScript, Angular 4+, HTML, CSS, Bootstrap, Restful Services, MySQL, Oracle 10g, MongoDB, OpenCV, Keras, GitHub, SVN, Jira",6476764137,,,,https://linkedin.com/in/sumeetsingh75/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/cf78c2e5-ff2f-4c85-beb1-141fc814c397/resume,Toronto,Ontario,,Canada,,2020-07-14T01:55:47.331Z,2020-12-13T22:00:09.763Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/sumeetsingh75/,,Graduate Degree (Masters),Entry Level (0-2 Years),"Master of Engineering, Software Engineering, Collaborative Specialization AI","Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract",,Western University,True,True,True,True -03eef73c-c4ce-45e7-a3ff-9efb6d8c16cc,karan100194@gmail.com,Karan Deep,Singh,https://talenthub.vectorinstitute.ai/profiles/1944340/view_image/IMG_4009.jpeg,Experienced Software Engineer,"I am a Masters Student and Graduate Assistant at York University with my current research in Fairness in Machine Learning. In addition, I have 3+ years of experience in Software Development. Please have a look at my resume for more details.",4372134401,,http://www.cs.yorku.ca/~singkara/,,https://www.linkedin.com/in/karan-deep-singh-91853a78/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/03eef73c-c4ce-45e7-a3ff-9efb6d8c16cc/resume,Toronto,Ontario,,Canada,linkedin,2020-08-20T20:03:28.313Z,2021-04-05T20:12:54.851Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ruth Urner,Already Graduated,,Mr.,https://www.linkedin.com/in/karan-deep-singh-91853a78/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Masters in Computer Science,"Financial Services, Software, Technology (Product Development)",Full Time,,York University,True,True,True,True -924bcfad-9bd9-4fc1-81fe-753427c02902,anthony.fisher@queensu.ca,Anthony,Fisher,https://talenthub.vectorinstitute.ai/profiles/1932225/view_image/Tony_-_portrait_crop.jpg,Analytics Consultant,Exceptional communicator with demonstrated track record of providing valuable analytical solutions and strategic recommendations that deliver actionable insights for a wide variety of clients. I currently work as an independent consultant and am enrolled in the 2021 Smith MMAI program. ,16132666964,,http://www.paradigmconsultinggroup.ca,,https://www.linkedin.com/in/tony-fisher-04390a/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/924bcfad-9bd9-4fc1-81fe-753427c02902/resume,Ottawa,Ontario,,Canada,,2020-08-13T19:41:06.068Z,2021-01-14T04:06:09.029Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Already Graduated,,Mr.,https://www.linkedin.com/in/tony-fisher-04390a/,"Deep learning, Machine learning, Time-series forecasting and modelling",Graduate Degree (Masters),Senior Level (5+ Years),MMAI 2021 (Queens / Smith),"Construction or Infrastructure, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Capstone Project",,Queen's University,True,True,True,True -1ffe1a53-291f-4466-8abc-4abadc6e12e8,kinkwong.leung@gmail.com,Kin-Kwong,Leung,https://talenthub.vectorinstitute.ai/profiles/1866128/view_image/0.jpeg,principal data scientist,"I have been working as a data scientist for 13 years. I involved in many projects, one of which was to design the world's first marine vessel traffic prediction system that gave warnings 30 minutes to 3 hours prior to undesirable situations might appear. I was responsible for performing business analysis and acted as the technical lead to design the core prediction engine. ",6476567898,,,,https://www.linkedin.com/in/kin-kwong-leung-856a9770/,,True,False,,Toronto,Ontario,,Canada,linkedin,2020-07-10T15:02:25.877Z,2020-07-10T15:02:26.258Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,applied jobs,Dr.,https://www.linkedin.com/in/kin-kwong-leung-856a9770/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Information Engineering,Technology (Product Development),"Full Time, Contract",,Other,True,True,True,True -7266d11d-a6e5-48d1-b519-229f058a9a94,ali@republicofai.com,Alireza,Darbehani,https://talenthub.vectorinstitute.ai/profiles/1855932/view_image/0.jpeg,Machine Learning Engineer,,6478034507,,,,https://www.linkedin.com/in/alireza-darbehani-49009174/,,True,False,,Toronto,Ontario,,Canada,linkedin,2020-07-03T12:12:27.873Z,2020-07-03T12:12:28.083Z,False,False,Not Affiliated with Vector,No,Other/Unsure,Fatemeh Darbehani,Already Graduated,My sister is doing her Master in Vector Institute,Mr.,https://www.linkedin.com/in/alireza-darbehani-49009174/,,Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Computer Science,"Construction or Infrastructure, Education, Financial Services, Software, Technology (Product Development)",Full Time,,Other,True,True,True,True -30e04693-dbe2-4754-a25c-297797ad6a5b,div1090@gmail.com,Divya,Sivasankaran,https://talenthub.vectorinstitute.ai/profiles/1870153/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-07-13T16:23:55.284Z,2020-07-13T16:23:55.649Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/divsivasankaran/,,,,,,,,,True,False,True,True -9fb8351a-4b2e-4b31-abf1-914d70627f09,agbeliemmanuel@gmail.com,Emmanuel,Agbeli ,https://talenthub.vectorinstitute.ai/profiles/1858664/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-07-05T21:12:55.138Z,2020-07-05T21:12:55.335Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/emmanuel-agbeli-419008a2/,,,,,,,,,True,False,True,True -f5eed98b-1b0c-4a09-a7af-08e318747218,amir.k@dal.ca,Amir,Khaleghi,https://talenthub.vectorinstitute.ai/profiles/1857686/view_image/PHOTO.jpeg,Computer Science M.Sc. ,,9022668869,,,,https://www.linkedin.com/in/amir-khaleghi-961a48131/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f5eed98b-1b0c-4a09-a7af-08e318747218/resume,Halifax,Nova Scotia,,Canada,,2020-07-05T01:27:19.936Z,2020-07-05T01:27:19.959Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/amir-khaleghi-961a48131/,,Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Contract",,Other,True,True,True,True -270c6f63-cbb8-4d3b-a734-77a24abc41fe,jason.senjia@gmail.com,Sen,Jia,https://talenthub.vectorinstitute.ai/profiles/1855159/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-07-02T23:43:04.613Z,2020-07-02T23:43:04.791Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/sen-jia-24683122/,,,,,,,,,True,True,True,True +c3991083-9a82-4f60-80f7-4a0c2be8753a,mikeolysis2380@gmail.com,Michael,Onuorah,https://talenthub.vectorinstitute.ai/profiles/2487626/view_image/1618964260917.jpeg,NoSQL Database Engineer,"NoSQL DB Architect with virtualization, clusters, containers and cloud experience. Expert in Managing Couchbase, MongoDB, Redshift, DynamoDB, HBase and Hive.",4372235307,,,,https://www.linkedin.com/in/michael-onuorah-ocmpmp/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c3991083-9a82-4f60-80f7-4a0c2be8753a/resume,Mississauga,Ontario,,Canada,linkedin,2021-08-29T15:43:43.020Z,2021-08-29T15:51:21.457Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/michael-onuorah-ocmpmp/,"Law, ethics and policy, Machine learning, Wearable technology and/or Internet of Things",Undergraduate Degree (Bachelors),Senior Level (5+ Years),Management Masters in AI,"Education, Financial Services, Professional Services (e.g Consulting), Technology (Product Development)","Full Time, Contract, Capstone Project","Data Architect, Data Engineer, Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",Queen's University,True,True,True,True +af3500ea-db3b-4a21-8f7c-fa35a27356ea,elham_ok@yahoo.com,Elham,Okhovat,https://talenthub.vectorinstitute.ai/profiles/2481162/view_image/t1.jpeg,IoT Researcher ,,,,,,https://www.linkedin.com/in/elhamokhovat/,,True,False,,London,Ontario,,Canada,,2021-08-24T21:14:46.229Z,2021-08-25T15:02:39.158Z,False,False,Connected to Vector Research,Yes,Other/Unsure,,Already Graduated,,Miss.,https://www.linkedin.com/in/elhamokhovat/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Science,"Education, Financial Services, Software, Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,"Data Scientist, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Western University,True,False,True,True +017bba7a-ada3-40aa-b59d-0909abb4694f,josephrdamien@gmail.com,Damien,Joseph 🌳,https://talenthub.vectorinstitute.ai/profiles/2077614/view_image/0.jpeg,,,,,,,https://www.linkedin.com/in/damien-joseph/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/017bba7a-ada3-40aa-b59d-0909abb4694f/resume,,,,,linkedin,2020-09-24T12:18:53.638Z,2020-09-24T12:18:53.807Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/damien-joseph/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Health Informatics,"Education, Health, Professional Services (e.g Consulting), Technology (Information and Media)","Full Time, Internship, Co-op, Contract",,University of Toronto,True,True,True,True +80c708e8-b6e5-4248-a88d-378c8f217939,hajany.jeyakumar@mail.utoronto.ca,Hajany,Jeyakumar,https://talenthub.vectorinstitute.ai/profiles/1584079/view_image/Hajany_Headshot.jpg,Master of Health Informatics Candidate ,"I have a strong interest in using large data sets in conjunction with predictive analytics to improve clinical workflow and personalized care. I am proficient in using health information technology, data analysis and project management skills to continue working towards identifying ways to achieve health care interoperability.",6474581242,,,,https://ca.linkedin.com/in/hajany-jeyakumar-b75555192,,True,False,https://canadaai.jobboard.io/api/v1/profiles/80c708e8-b6e5-4248-a88d-378c8f217939/resume,,,,,,2020-01-05T18:29:22.108Z,2020-01-05T18:29:22.187Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://ca.linkedin.com/in/hajany-jeyakumar-b75555192,,,,Master of Health Informatics,"Education, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op, Contract, Capstone Project",,University of Toronto,True,True,True,True +bc9d8a72-8e6d-4e5f-8bb7-2ff4b61394af,pjiang2001@gmail.com,James Peng,Jiang,https://talenthub.vectorinstitute.ai/profiles/1608786/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-20T01:42:00.148Z,2020-01-20T01:42:00.462Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/jamesj20/,,Undergraduate Degree (Bachelors),,,,,,,True,False,True,True +c2e7a364-7f3f-4fad-8a23-287bbe9cbed4,ekudashkina@gmail.com,Katya,Kudashkina,https://talenthub.vectorinstitute.ai/profiles/1613122/view_image/0.jpeg,"Tech entrepreneur, M.B.A., Ph.D. Candidate in AI. 11+ years of business & advanced analytics experience. Development & delivery of AI-powered solutions to achieve business objectives.","Deep expertise in AI, with the knowledge of expected future trends, challenges of real-world applications, and the business value of AI. An intuitive leader in identifying opportunities for building AI-based solutions to deliver on business and financial goals. Excellent at analyzing the potential of AI-powered improvements and assessing expected return on investment. Expert at identifying risks associated with technology developments, and the metrics necessary for success. Versatile background includes engaging and leading teams, developing lasting relationships with clients, delivering AI-based solutions, raising capital & negotiating.",,,http://kudashkina.ca,,https://www.linkedin.com/in/katyakudashkina/,katyakuda,True,False,https://canadaai.jobboard.io/api/v1/profiles/c2e7a364-7f3f-4fad-8a23-287bbe9cbed4/resume,,,,,linkedin,2020-01-22T16:54:49.351Z,2021-04-27T23:13:01.883Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Jakob Foerster,Already Graduated,,Ms.,https://www.linkedin.com/in/katyakudashkina/,"Data science, Deep learning, Machine learning, Reinforcement learning",Postgraduate Degree (PhD),Senior Level (5+ Years),"PhD, AI","Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Contract",Other ,University of Guelph,True,False,True,True +40546ce7-e18f-403b-b6ef-66d863bc6f73,jjudes@uwaterloo.ca,Jef,Judes,https://talenthub.vectorinstitute.ai/profiles/1603439/view_image/0.jpeg,Data Scientist,,6478336372,,https://github.com/jjudes/,,https://www.linkedin.com/in/jjudes/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/40546ce7-e18f-403b-b6ef-66d863bc6f73/resume,Toronto,Ontario,,Canada,linkedin,2020-01-15T22:38:11.553Z,2020-01-16T01:50:18.535Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/jjudes/,,Graduate Degree (Masters),,Data Science,"Education, Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op",,University of Waterloo,True,False,True,True +2286d8b1-75f2-4adf-b8d3-e6bbbe23ec41,gulatisimranpreet@gmail.com,Simranpreet,Kaur,https://talenthub.vectorinstitute.ai/profiles/1610104/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-20T19:27:51.889Z,2020-01-20T19:27:52.095Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2021,,Ms.,Not Found,,Graduate Degree (Masters),,Computer Science,"Education, Technology (Information and Media)",Full Time,,University of Windsor,True,True,True,True +dfba03a4-fc88-4c2e-8c0e-150aa3453096,kaulpallavi514@gmail.com,Pallavi,Kaul,https://talenthub.vectorinstitute.ai/profiles/1610023/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-20T18:40:43.589Z,2020-01-20T18:40:43.770Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/pallavi-kaul-02bbbb144,,,,,,,,,,,, +f3ec7dc3-3942-4afb-b59a-822620db6331,sarthakchawla@yahoo.co.in,Sarthak,Chawla,https://talenthub.vectorinstitute.ai/profiles/1608881/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-20T06:02:39.263Z,2020-01-20T06:06:46.356Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/sarthakchawla/,,Undergraduate Degree (Bachelors),,,,,,,True,True,True,True +29f9bf6c-8d23-490f-8a72-95773cb326fd,stephen29xie@gmail.com,Stephen,Xie,https://talenthub.vectorinstitute.ai/profiles/1608812/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-20T03:07:27.351Z,2020-01-20T03:07:27.860Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/stephen29xie/,,Undergraduate Degree (Bachelors),,,,,,,True,True,True,True +8ecbfa60-defd-496b-9e05-0b0cedc537bf,vijitha.alva18@gmail.com,Vijitha,Alva,https://talenthub.vectorinstitute.ai/profiles/1580915/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-03T14:05:06.000Z,2020-01-03T14:05:06.373Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/vijitha-alva/,,,,,,,,,True,True,True,True +8eefaf74-c449-4af5-bc4d-d15635983365,felixha525@gmail.com,Felix,Ha,https://talenthub.vectorinstitute.ai/profiles/1571414/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-21T07:41:49.694Z,2019-12-21T07:41:49.921Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/felixha00/,,,,,,,,,True,False,True,True +7e54cb3c-443b-487d-8e3f-0efd1cfdc8e1,binlin.liu@mail.utoronto.ca,Binlin(Sigfried),Liu,https://talenthub.vectorinstitute.ai/profiles/1608657/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-19T22:25:37.865Z,2020-01-19T22:25:38.023Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/binlin-sigfried-liu-69a7a214a/,,,,,,,,,True,True,True,True +7feb4237-585d-4e21-958e-890d3f38c909,rasikahpatil03@gmail.com,Rasika,Patil,https://talenthub.vectorinstitute.ai/profiles/1594902/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-10T23:20:24.963Z,2020-01-10T23:20:25.174Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/rasika-patil-647484129/,,,,,,,,,True,True,True,True +add0f95d-187b-439a-b3b0-8d4aa0768533,kwanr5@mcmaster.ca,Rachel,Kwan,https://talenthub.vectorinstitute.ai/profiles/1594744/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-10T20:58:23.532Z,2020-01-10T20:58:23.731Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/rrkwan/,,,,,,,,,True,False,True,True 4538a975-80dd-45c7-9a68-2923f32f0510,21gz5@queensu.ca,guowei,zhao,https://talenthub.vectorinstitute.ai/profiles/2624594/view_image/professional_pic.jpg,,,9054016315,,,,https://linkedin.com/in/guoweizhao,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4538a975-80dd-45c7-9a68-2923f32f0510/resume,Markham,Ontario,,Canada,,2021-12-22T19:56:42.109Z,2022-01-03T20:22:11.974Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,linkedin.com/in/guoweizhao,"Data science, Deep learning, Unsupervised learning",Graduate Degree (Masters),Senior Level (5+ Years),Business Administration,"Financial Services, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Product/Project Manager, Other ",Queen's University,True,True,True,True 351556c7-7cbe-46e5-9a0a-2204cf31a83d,emehfestus.ngozi@queensu.ca,Emeh-Festus,Ngozi,https://talenthub.vectorinstitute.ai/profiles/2577168/view_image/rsz__mg_9053-edit.jpg,,"Artificial Intelligence Product Manager and Researcher with good hands-on in Product Vision & Metrics, Agile Product & Project Management, Automation, Data Cleansing & Analysis, Optimization, Analytics & Machine Learning Modelling and Team Management Also has years of experience coding software with Python and JavaScript. ",,,,,https://www.linkedin.com/in/ngozi-emeh-festus-33010759/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/351556c7-7cbe-46e5-9a0a-2204cf31a83d/resume,,,,,,2021-11-09T21:33:06.884Z,2021-11-10T08:03:08.396Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mrs.,https://www.linkedin.com/in/ngozi-emeh-festus-33010759/,"Data science, Deep learning, Healthcare and/or medical imaging, Machine learning, Optimization, Recommender systems, Reinforcement learning, Unsupervised learning",Graduate Degree (Masters),Senior Level (5+ Years),Masters of Management in Artificial Intelligence,"Financial Services, Health, Retail, Software, Technology (Product Development)","Full Time, Internship, Contract, Capstone Project","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Queen's University,True,True,True,True -33124a64-2f89-4184-8882-b5fc403c8406,mohammad.yaghini@mail.utoronto.ca,Mohammad,Yaghini,https://talenthub.vectorinstitute.ai/profiles/2205231/view_image/my_photo_smaller.jpg,"PhD Student in Machine Learning, Data Scientist","I am a PhD student at the CleverHans Lab under the supervision of Nicolas Papernot at the Vector Institute for Artificial Intelligence and University of Toronto. -My current interests are in the intersection of machine learning and privacy. More broadly, I am interested in trustworthy machine learning including differentially private learning and algorithmic fairness. More recently, I have been tackling questions of intellectual property for machine learning models, and generalization/domain-invariance, such as dealing with out-of-distribution data.",,,http://m-yaghini.github.io,,http://linkedin.com/in/myaghini,MYaghini,True,False,https://canadaai.jobboard.io/api/v1/profiles/33124a64-2f89-4184-8882-b5fc403c8406/resume,Toronto,Ontario,,Canada,,2021-01-25T21:22:46.676Z,2021-09-23T14:16:15.309Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Nicolas Papernot,Fall 2024 (August - November),,Mr.,http://linkedin.com/in/myaghini,"AI safety, Fairness, Game theory",Postgraduate Degree (PhD),Entry Level (0-2 Years),Electrical and Computer Engineering,"Financial Services, Public Administration (i.e Gov't), Software, Telecommunications, Type of Work is More Important to me than Sector",Internship,,University of Toronto,True,True,True,True -cba01f8a-8de1-4091-ac56-0a4dcf356141,navidcse@gmail.com,Mahtab,Ahmed,https://talenthub.vectorinstitute.ai/profiles/2114684/view_image/0.jpeg,"Senior Engineer, Toronto Distributed Scheduling and Data Engine Lab, Huawei Technologies, Canada","Experienced Deep Learning researcher with a demonstrated history of working in the research industry. Skilled in Python (Pytorch, Tensorflow, Theano), Matlab, and C++.",2262399573,,https://scholar.google.ca/citations?user=v9i1kW8AAAAJ&hl=en,,https://www.linkedin.com/in/mahtab-ahmed,,True,False,https://canadaai.jobboard.io/api/v1/profiles/cba01f8a-8de1-4091-ac56-0a4dcf356141/resume,Toronto,Ontario,,Canada,linkedin,2020-10-28T01:16:18.268Z,2020-11-26T03:56:16.706Z,False,False,Connected to Vector Research,Yes,Post Graduate Affiliate,ON,Already Graduated,,Mr.,https://www.linkedin.com/in/mahtab-ahmed,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),PhD,"Financial Services, Health, Public Administration (i.e Gov't), Software, Technology (Information and Media), Type of Work is More Important to me than Sector",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Western University,True,True,True,True +e33e7d02-1472-4b88-b9fa-195abd29fbc3,cameron.raymond@hey.com,Cameron,Raymond,https://talenthub.vectorinstitute.ai/profiles/1674264/view_image/0.jpeg,"University of Oxford, Social Data Science MSc","Cameron is a data scientist from Toronto, and MSc student at Oxford and the Oxford Internet Institute reading Social Data Science. He is also a graduate from Queen's University where he studied computer science and political science (GPA 4.03/4.3). His broad interests include network science, machine learning, and computational social science.",+44 07709245426,,http://cameronraymond.me/,,https://www.linkedin.com/in/cameron-raymond/,CJKRaymond,True,False,https://canadaai.jobboard.io/api/v1/profiles/e33e7d02-1472-4b88-b9fa-195abd29fbc3/resume,Toronto,Ontario,,Canada,linkedin,2020-03-13T13:23:56.100Z,2020-03-13T13:51:04.874Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2021,,Mr.,https://www.linkedin.com/in/cameron-raymond/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Data Science/Economics/HCI,"Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Contract",,Queen's University,True,False,True,True 06fda50e-5155-45c0-9389-1b7f561326a7,mohsen.selseleh@yahoo.com,MOHSEN,SELSELEH,https://talenthub.vectorinstitute.ai/profiles/2718514/view_image/download.png,Data Scientist,"I am a Canadian mathematician turned Data Enthusiast with a passion for turning data into actionable insights and using them to add value to businesses. I am so interested to learn more about logic, probability-based algorithms and machine learning. I believe my ability to multi-task and curious personality will allow me to thrive in the field of data. @@ -901,72 +887,113 @@ My abilities: https://github.com/Mohsenselseleh mohsen.selseleh@yahoo.com",6473901356,,https://github.com/Mohsenselseleh,,https://www.linkedin.com/in/paul-selseleh-93a177145/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/06fda50e-5155-45c0-9389-1b7f561326a7/resume,,,,,,2022-03-07T20:05:28.706Z,2022-03-07T20:42:55.259Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/paul-selseleh-93a177145/,,Graduate Degree (Masters),Entry Level (0-2 Years),Data Science,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Engineer, Data Scientist",University of Guelph,True,True,True,True 094ffce4-d449-4c8d-a90f-e167869554e7,metekemertas@gmail.com,Mete,Kemertas,https://talenthub.vectorinstitute.ai/profiles/2773485/view_image/1609873183376.jpeg,PhD Student,,647-473-1993,,https://metekemertas.github.io/,,https://www.linkedin.com/in/metekemertas/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/094ffce4-d449-4c8d-a90f-e167869554e7/resume,Toronto,Ontario,,Canada,linkedin,2022-04-18T16:02:10.617Z,2022-04-19T15:29:17.028Z,False,False,Connected to Vector Research,Yes,Other/Unsure,Sven Dickinson,Fall 2024 (August - November),Vector Faculty Affiliate Researcher,Mr.,https://www.linkedin.com/in/metekemertas/,"Computer vision, Deep learning, Machine learning, Reinforcement learning, Representation learning, Robotics",Postgraduate Degree (PhD),Senior Level (5+ Years),PhD in Computer Science,"Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Internship, Co-op, Contract",Machine Learning Researcher/Scientist ,University of Toronto,True,True,True,True -7e54cb3c-443b-487d-8e3f-0efd1cfdc8e1,binlin.liu@mail.utoronto.ca,Binlin(Sigfried),Liu,https://talenthub.vectorinstitute.ai/profiles/1608657/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-19T22:25:37.865Z,2020-01-19T22:25:38.023Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/binlin-sigfried-liu-69a7a214a/,,,,,,,,,True,True,True,True -7feb4237-585d-4e21-958e-890d3f38c909,rasikahpatil03@gmail.com,Rasika,Patil,https://talenthub.vectorinstitute.ai/profiles/1594902/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-10T23:20:24.963Z,2020-01-10T23:20:25.174Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/rasika-patil-647484129/,,,,,,,,,True,True,True,True +33124a64-2f89-4184-8882-b5fc403c8406,mohammad.yaghini@mail.utoronto.ca,Mohammad,Yaghini,https://talenthub.vectorinstitute.ai/profiles/2205231/view_image/my_photo_smaller.jpg,"PhD Student in Machine Learning, Data Scientist","I am a PhD student at the CleverHans Lab under the supervision of Nicolas Papernot at the Vector Institute for Artificial Intelligence and University of Toronto. +My current interests are in the intersection of machine learning and privacy. More broadly, I am interested in trustworthy machine learning including differentially private learning and algorithmic fairness. More recently, I have been tackling questions of intellectual property for machine learning models, and generalization/domain-invariance, such as dealing with out-of-distribution data.",,,http://m-yaghini.github.io,,http://linkedin.com/in/myaghini,MYaghini,True,False,https://canadaai.jobboard.io/api/v1/profiles/33124a64-2f89-4184-8882-b5fc403c8406/resume,Toronto,Ontario,,Canada,,2021-01-25T21:22:46.676Z,2021-09-23T14:16:15.309Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Nicolas Papernot,Fall 2024 (August - November),,Mr.,http://linkedin.com/in/myaghini,"AI safety, Fairness, Game theory",Postgraduate Degree (PhD),Entry Level (0-2 Years),Electrical and Computer Engineering,"Financial Services, Public Administration (i.e Gov't), Software, Telecommunications, Type of Work is More Important to me than Sector",Internship,,University of Toronto,True,True,True,True +0d4d491c-17b8-4526-8305-fed4cd917f57,tina.keshavarzian@mail.utoronto.ca,Tina,Keshavarzian,https://talenthub.vectorinstitute.ai/profiles/1980347/view_image/tina_linkedin.jpeg,Graduate student ,"I’m a computational biology grad student at the University of Toronto. I‘m broadly interested in integrating genomic datasets (3D genome, epigenetics, sequencing) to understand cancer better. I like learning rigorous statistics and analyzing genomic datasets with diligence. I try to understand and communicate the biases and nuances in datasets and translate advances in machine learning to biology when they’re appropriate. ",8572658838,,,,,,True,False,,Toronto,Ontario,,Canada,,2020-09-17T16:54:33.731Z,2020-09-18T13:58:53.705Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,,Already Graduated,,Ms.,https://www.linkedin.com/in/tina-keshavarzian-48a475121/,,Graduate Degree (Masters),Entry Level (0-2 Years),Computational cancer genomics,"Health, Type of Work is More Important to me than Sector","Internship, Co-op, Contract, Capstone Project",,University of Toronto,True,True,True,True +cba01f8a-8de1-4091-ac56-0a4dcf356141,navidcse@gmail.com,Mahtab,Ahmed,https://talenthub.vectorinstitute.ai/profiles/2114684/view_image/0.jpeg,"Senior Engineer, Toronto Distributed Scheduling and Data Engine Lab, Huawei Technologies, Canada","Experienced Deep Learning researcher with a demonstrated history of working in the research industry. Skilled in Python (Pytorch, Tensorflow, Theano), Matlab, and C++.",2262399573,,https://scholar.google.ca/citations?user=v9i1kW8AAAAJ&hl=en,,https://www.linkedin.com/in/mahtab-ahmed,,True,False,https://canadaai.jobboard.io/api/v1/profiles/cba01f8a-8de1-4091-ac56-0a4dcf356141/resume,Toronto,Ontario,,Canada,linkedin,2020-10-28T01:16:18.268Z,2020-11-26T03:56:16.706Z,False,False,Connected to Vector Research,Yes,Post Graduate Affiliate,ON,Already Graduated,,Mr.,https://www.linkedin.com/in/mahtab-ahmed,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),PhD,"Financial Services, Health, Public Administration (i.e Gov't), Software, Technology (Information and Media), Type of Work is More Important to me than Sector",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Western University,True,True,True,True +67f591d4-5a69-49fd-abab-fcc8331ded78,fsrajan@gmail.com,Faisal,Rajan,https://talenthub.vectorinstitute.ai/profiles/2468424/view_image/professional_image.jpg,Helping people make informed decisions,,519-729-3467,,,,https://www.linkedin.com/in/faisalrajan/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/67f591d4-5a69-49fd-abab-fcc8331ded78/resume,Toronto,Ontario,,Canada,,2021-08-13T15:44:18.859Z,2021-08-13T23:29:22.914Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/faisalrajan,"Data science, Machine learning, Natural language processing",Graduate Degree (Masters),Senior Level (5+ Years),Masters in Management Analytics,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",Queen's University,True,True,True,True +6b975efd-61eb-442e-9174-2a3c58d8a282,soroosh.sorkhani@gmail.com,Soroosh,Sorkhani,https://talenthub.vectorinstitute.ai/profiles/2415654/view_image/1616452171610.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-06-28T20:47:08.483Z,2022-03-13T04:39:15.697Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/soroosh-sorkhani/,,,,,,,,,True,True,True,True c15510f0-a27d-4941-b9a4-fe3e9d411e7e,mahrukh.niazi@gmail.com,Mahrukh,Niazi,https://talenthub.vectorinstitute.ai/profiles/2545305/view_image/1614903242950.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-10-13T17:42:21.431Z,2021-10-13T17:42:21.610Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/mahrukh-niazi/,,,,,,,,,True,True,True,True -add0f95d-187b-439a-b3b0-8d4aa0768533,kwanr5@mcmaster.ca,Rachel,Kwan,https://talenthub.vectorinstitute.ai/profiles/1594744/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-10T20:58:23.532Z,2020-01-10T20:58:23.731Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/rrkwan/,,,,,,,,,True,False,True,True -8eefaf74-c449-4af5-bc4d-d15635983365,felixha525@gmail.com,Felix,Ha,https://talenthub.vectorinstitute.ai/profiles/1571414/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-21T07:41:49.694Z,2019-12-21T07:41:49.921Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/felixha00/,,,,,,,,,True,False,True,True -c72dcd89-da84-45bc-9416-289dc033de91,max@maxniebergall.com,Max,Niebergall,https://talenthub.vectorinstitute.ai/profiles/1956420/view_image/0.jpeg,Master of Data Science and Artificial Intelligence student at UW,"I am a lifelong technology enthusiast and an engineer at heart. Aside from building new tech, I am particularly interested in the business applications and economic implications of technology. -I am a strong believer in the importance of lifelong learning, and right now, I am a student in the field of Data Science. I am developing my skills in the areas of Machine Learning, Deep Learning, Knowledge Discovery & Data Mining, Simulation & Monte Carlo Methods, Statistics for Data Science, Distributed Computing, and more. -Apart from technology, I am a strong believer in the value of community. During my undergrad at Laurier, I was an executive member of the Rotaract club for three years, including one as president. This experience solidified my belief that we should all give back to our communities, and bring people together through organized action.",,,http://MaxNiebergall.com,,https://www.linkedin.com/in/maxniebergall/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c72dcd89-da84-45bc-9416-289dc033de91/resume,Waterloo,Ontario,,Canada,linkedin,2020-08-28T14:20:57.913Z,2020-08-28T14:20:58.148Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/maxniebergall/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Science and Artificial Intelligence,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Internship, Co-op",,University of Waterloo,True,True,True,True -8a433db4-4910-4e6a-a029-404baf3075a0,yunyun@uoguelph.ca,Yunyun (Winnie),Guo,https://talenthub.vectorinstitute.ai/profiles/2497251/view_image/1536668286715.jpg,Data Scientist / Analyst,"Currently enrolled in a Master of Data Science program, where I have developed machine learning and statistical analysis techniques. Seeking an opportunity to apply my expertise in predictive analytics and modeling techniques to draw actionable business insights from data sets, and gain hands on experience. Five years of prior experience in research analysis, including in the healthcare industry, with a demonstrated ability to succeed in a fast-paced environment and be a good team player.",,,,,https://www.linkedin.com/in/winniey-guo,,True,False,,,,,,,2021-09-04T23:53:50.117Z,2021-09-22T21:10:25.070Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Ms.,N/A,"Bayesian methods, Computational biology, Data science, Deep learning, Gaussian processes, Machine learning, Statistical learning theory, Time-series forecasting and modelling",Graduate Degree (Masters),Mid-Level (3-5 Years),Master in Data Science,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Product/Project Manager",University of Guelph,True,True,True,True -d29917ac-b64c-46c5-8f25-90dd5c970942,frnm.mansouri@gmail.com,Farnam,Mansouri,https://talenthub.vectorinstitute.ai/profiles/2617683/view_image/farnam_-_Farnam_Mansouri.jpg,Master student at the University of Toronto,"I study master's in computer science at the University of Toronto, and Vector Institute under the supervision of Amir-massoud Farahmand, and Murat Erdogdu. -I am interested in the foundations of machine learning. In particular, reinforcement learning, learning theory, statistics, machine teaching, and deep learning. -",16479391294,,,,https://www.linkedin.com/in/farnam-mansouri-0a1436156/,FarnamMansouri,True,False,https://canadaai.jobboard.io/api/v1/profiles/d29917ac-b64c-46c5-8f25-90dd5c970942/resume,Toronto,Ontario,,Canada,,2021-12-16T02:44:45.506Z,2021-12-16T02:57:53.294Z,False,False,Connected to Vector Research,Yes,Vector Scholarship Recipient,ON,Already Graduated,,Mr.,https://www.linkedin.com/in/farnam-mansouri-0a1436156/,"Reinforcement learning, Representation learning, Statistical learning theory",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Financial Services, Software, Technology (Product Development)","Full Time, Internship, Contract, Capstone Project","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -9f5f36f8-04ef-4dfc-9022-59ae11d3ef68,sanjoy.kumar.huawei@gmail.com,Sanjoy Kumar,Das,https://talenthub.vectorinstitute.ai/profiles/2521211/view_image/1516564034271.jpeg,Data Analyst @ Teletalk | MEng in AI Candidate,"As an IT professional with an excellent record of success as a Data Analyst and Database Administrator with software development, I am seeking a position within a diversity that will utilize my expertise in data analytics, effective visualization, predictive modeling and model development, which will allow me to be proactive in engaging organization where my skills, education, training, and more than 12 years of experience can be fully utilized.",+1-647-394-6549,,https://sanjoy-kumar.github.io/sanjoykumardas/,,https://www.linkedin.com/in/dassanjoykumar/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9f5f36f8-04ef-4dfc-9022-59ae11d3ef68/resume,Toronto,Ontario,,Canada,linkedin,2021-09-23T13:36:08.216Z,2021-09-23T13:36:08.408Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/dassanjoykumar/,,Graduate Degree (Masters),Senior Level (5+ Years),Artificial Intelligence,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Software Engineer",Ryerson University,True,True,True,True -81a3c838-aac2-42c7-8e34-32d8855021d7,jlandonedwards@gmail.com,Landon,Edwards,https://talenthub.vectorinstitute.ai/profiles/2346211/view_image/pic.jpeg,,"I enjoy working with data to identify opportunities and insights that lead to improvements for people and products. -For the last five years, I’ve studied and practiced statistical analysis, machine learning, and deep learning, with applications in recommendation systems, NLP, and marketing analytics. Before this, I received an honours degree from Ivey Business School supporting my ability to understand business objectives and data collection requirements. -I’m looking for an opportunity to apply my experience and grow further knowledge in developing innovative statistical, data mining, and machine learning business applications.",(204) 721-4566,,,,https://linkedin.com/in/jlandonedwards,,True,False,https://canadaai.jobboard.io/api/v1/profiles/81a3c838-aac2-42c7-8e34-32d8855021d7/resume,,,,,,2021-05-06T00:02:37.057Z,2021-09-24T13:19:02.606Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://linkedin.com/in/jlandonedwards,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Data Science and AI,"Manufacturing , Professional Services (e.g Consulting), Retail, Technology (Product Development)",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",University of Waterloo,True,True,True,True -846de0e1-816d-4887-9316-92a0d2074ee1,winnie.xu97@gmail.com,Winnie,Xu,https://talenthub.vectorinstitute.ai/profiles/1856061/view_image/0.jpeg,,,,,https://winniexu.ca,,https://linkedin.com/in/winnie-xu,winniethexu,True,False,,Toronto,Ontario,,Canada,linkedin,2020-07-03T13:36:48.647Z,2020-07-03T13:36:48.844Z,False,False,Connected to Vector Research,Yes,Other/Unsure,David Duvenaud,Already Graduated,Research Intern,Miss.,https://linkedin.com/in/winnie-xu,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),"Computer Science, Statistics, and Math",,"Internship, Co-op, Contract",,University of Toronto,True,True,True,True -0802d040-6d59-4c37-a199-05137f45ceb6,dan.andru11@gmail.com,Daniel,Andru,https://talenthub.vectorinstitute.ai/profiles/2486926/view_image/1533766045448.jpeg,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0802d040-6d59-4c37-a199-05137f45ceb6/resume,,,,,linkedin,2021-08-28T19:56:57.186Z,2021-08-31T17:49:09.495Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/danielandru/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Masters of Management Analytics,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Product/Project Manager",Queen's University,True,True,True,True -d0e7beac-f52a-4c28-b08d-25bdc9273708,ijawadi@gmail.com,Imad,Jawadi,https://talenthub.vectorinstitute.ai/profiles/2570932/view_image/1582516376102.jpeg,,,,,,,https://www.linkedin.com/in/ijawadi/,,True,False,,Toronto,Ontario,,Canada,linkedin,2021-11-04T03:01:24.216Z,2021-11-04T03:01:24.429Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Smith School of Business,Already Graduated,,Mr.,https://www.linkedin.com/in/ijawadi/,"Data science, Machine learning, Natural language processing",Graduate Degree (Masters),Senior Level (5+ Years),"MMAI, MMA","Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software",Full Time,Other ,Queen's University,True,True,True,True -7ec1d860-22eb-492f-93fe-2de774b417e6,ksr.ahmadi@gmail.com,Kasra,Ahmadikamalabad,https://talenthub.vectorinstitute.ai/profiles/1956490/view_image/photo_2020-06-26_16-43-18.jpg,,,,,,,,,True,False,,Toronto,Ontario,,Canada,,2020-08-28T15:00:53.373Z,2020-09-13T17:39:42.337Z,False,False,Connected to Vector Research,Yes,Other/Unsure,Hui jiang,Already Graduated,Student of a Faculty Affiliate,Mr.,N/A,,Graduate Degree (Masters),Entry Level (0-2 Years),Electrical and Computer Engineering,,Internship,,York University,True,True,True,True -600fc33e-0c02-462f-baed-47c6ce54868f,l52he@outlook.com,Lizheng,He,https://talenthub.vectorinstitute.ai/profiles/2071081/view_image/headshot.png,,,5197814635,,,,https://www.linkedin.com/in/lizheng-he,,True,False,https://canadaai.jobboard.io/api/v1/profiles/600fc33e-0c02-462f-baed-47c6ce54868f/resume,,,,,linkedin,2020-09-21T01:54:26.379Z,2021-01-05T00:30:04.598Z,False,False,Recognized Masters Program,Yes,Other/Unsure,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/lizheng-he,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),"Mathematical Optimization, Computational Mathematics","Education, Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Data Scientist, Machine Learning Engineer",University of Waterloo,True,True,True,True -0a153938-a4b0-477b-ba32-556647361baa,nimasarang@gmail.com,Nima,Sarang,https://talenthub.vectorinstitute.ai/profiles/2710910/view_image/1581444009996.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-03-01T20:17:49.337Z,2022-03-01T20:17:49.748Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/nima-sarang/,,,,,,,,,True,False,True,True -867ca5ef-5852-4f8c-95bb-247595e51283,rashminair_15@hotmail.com,Rashmi,Nair,https://talenthub.vectorinstitute.ai/profiles/2077065/view_image/0.jpeg,"Master of Health Informatics Candidate, Registered Nurse","I am a Master of Health Informatics Candidate (2022) and a Registered Nurse with experience in eHCR implementation in a division-wide shift to digitization. I am interested in enhancing clinician workflow by improving data visualization, usability, and interoperability to improve disease management and enhance continuity of care through the patient’s health journey. ",,,,,https://www.linkedin.com/in/rashmi-nair-72a40592/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/867ca5ef-5852-4f8c-95bb-247595e51283/resume,Toronto,Ontario,,Canada,linkedin,2020-09-24T01:54:09.563Z,2020-09-24T01:54:09.923Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/rashmi-nair-72a40592/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Health Informatics,"Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Product Development)","Full Time, Internship, Co-op, Capstone Project",,University of Toronto,True,True,True,True -f2a76625-f782-466a-ac4f-5c8b3ddc5cbd,g285sing@uwaterloo.ca,Gursimran,Singh,https://talenthub.vectorinstitute.ai/profiles/1553056/view_image/main.jpg,Data Science Graduate Student at uWaterloo | Former Senior Software Engineer at Samsung,"I am a software and data engineer with 2+ years of professional experience with Samsung. Having worked on both cloud-based Big Data Engineering and Frontend technologies has given me an overall understanding of software development life cycle from design and development to testing, and deployment. I am proficient in building Big Data Pipelines using AWS coupled with building, validating, and deploying Machine Learning models in production environment. ",+1 519-721-5483,,https://github.com/SinghGursimran,,https://www.linkedin.com/in/gursimran-singh-b930aa128/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f2a76625-f782-466a-ac4f-5c8b3ddc5cbd/resume,Waterloo,Ontario,,Canada,,2019-12-05T02:01:44.171Z,2020-10-17T14:36:04.424Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/gursimran-singh-b930aa128/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Data Science and Artificial Intelligence,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector",Full Time,,University of Waterloo,True,True,True,True -a1195c67-d591-43e7-9efb-0a6cd66672ab,soumyakant.sahoo@gmail.com,Soumyakant,Sahoo,https://talenthub.vectorinstitute.ai/profiles/1559974/view_image/0.jpeg,Master of Data Analytics | Seeking Summer 2020 Positions | CS graduate | Avid Coder | Hackathon love,"Seasoned software professional with experience of working with startups, mid-scale IT organization, and large clients. Passionate about implementing ideas using technology that can optimize processes or be an entirely new service enhancing the ease of doing things. -Currently completing a Master of Data Analytics with a major in AI at the University of Western Ontario. My goal is to augment my data science and machine learning skills into ideas that can transform the way current digital services are consumed. I am looking for summer 2020 positions to join an organization that is looking to breathe life into new ideas or optimize their existing ideas by using the power of data analytics and machine learning. -Happy to connect with all and share and discuss ideas with individuals passionate about data science and machine learning.",+16478790858,,,,https://www.linkedin.com/in/soumyakant-sahoo/,Tech_Quarense,True,False,https://canadaai.jobboard.io/api/v1/profiles/a1195c67-d591-43e7-9efb-0a6cd66672ab/resume,London,Ontario,,Canada,linkedin,2019-12-10T20:34:51.229Z,2020-01-17T17:38:25.940Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/soumyakant-sahoo/,,,,Master of Data Analytics (Specialization AI),"Financial Services, Telecommunications","Full Time, Internship, Co-op, Capstone Project",,Western University,True,True,True,True -f2a87af8-b169-41de-8420-9c1655fd018d,jxue59@uwo.ca,Jiaai,Xue,https://talenthub.vectorinstitute.ai/profiles/1561196/view_image/%E5%BE%AE%E4%BF%A1%E5%9B%BE%E7%89%87_20191115173611.jpg,Master of Data Analytics student specialized in finance/banking/insurance| Actively seeking positions for Summer 2020,"Former software developer with strong programming foundation, experienced in C#, Python, SQL, Linux operations and version control with Git. Familiar with machine learning and statistical methods for data analysis and building data flows with Hadoop platform. Especially interested in applying supervised learning methods in financial services, such as risk modelling, Anti money laundering, fraud detection and sentiment analysis. ",,,,,https://www.linkedin.com/in/jiaai-gia-xue-b4a208198/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f2a87af8-b169-41de-8420-9c1655fd018d/resume,London,Ontario,,Canada,,2019-12-11T20:06:14.323Z,2020-01-14T02:41:35.253Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/jiaai-gia-xue-b4a208198/,,,,MDA,"Financial Services, Retail","Full Time, Internship, Co-op",,Western University,True,True,True,True -c759df6f-9a26-4667-98de-37dbb195011a,y468wu@uwaterloo.ca,Yitian,Wu,https://talenthub.vectorinstitute.ai/profiles/1559895/view_image/0.jpeg,Candidate of Master of Data Analytics,,5197298543,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c759df6f-9a26-4667-98de-37dbb195011a/resume,London,Ontario,,Canada,linkedin,2019-12-10T19:35:03.581Z,2019-12-10T19:35:03.979Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/yitian-wu-a779a4185/,,,,Master of Data Analytics,"Financial Services, Professional Services (e.g Consulting)","Full Time, Co-op",,Western University,True,True,True,True -a8f96b73-93f7-4735-a566-ee2baafaf3e8,charmipatel232@gmail.com,Charmi,Patel,https://talenthub.vectorinstitute.ai/profiles/1561017/view_image/D9C3EC3B-76E5-427B-A04D-90EE7FC4EEA1.jpeg,Computer Sci Grad working on Blockchain technology ,"I’m a recent computer science graduate from Lakehead University who wants to help a company grow through the use of evolving technologies. I am currently working on Blockchain technology for my final year project. -You might say I’m a “tech geek” because in college I'd like to spend a lot of time in the school’s computer lab. I picked apart my laptop once to see how all the pieces fit together (ended up screwing the keyboard a bit though). -Blockchain, Big Data, Machine Learning, Internet of Things are the emerging technologies today for company’s big and small. I want to ensure my skills grow and remains on these cutting edge. As a recent grad, I'm short on experience, but excited about the new technologies and ready to bust my hump in the job and committed to a team’s success.",8073576775,,,,http://linkedin.com/in/charmi-patel-6298bba6,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a8f96b73-93f7-4735-a566-ee2baafaf3e8/resume,Thunder Bay,Ontario,,Canada,,2019-12-11T17:27:29.678Z,2019-12-11T17:27:29.724Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Miss.,http://linkedin.com/in/charmi-patel-6298bba6,,,,Masters in Computer Science,"Financial Services, Telecommunications","Full Time, Internship",,Lakehead University,True,True,True,True -a6da7b87-d0db-4878-83d6-b9904b66006d,emerald.liang@mail.utoronto.ca,Emerald,Liang,https://talenthub.vectorinstitute.ai/profiles/1549697/view_image/0.jpeg,,,,,,,https://www.linkedin.com/in/emeraldyl,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a6da7b87-d0db-4878-83d6-b9904b66006d/resume,,,,,linkedin,2019-12-03T02:51:55.156Z,2019-12-03T02:51:55.486Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Miss.,https://www.linkedin.com/in/emeraldyl,,,,Masters of Health Informatics,,"Full Time, Internship",,University of Toronto,True,False,True,True +8d7e09af-9cc5-4a97-9e69-3e267b9782e0,garzonmm@mcmaster.ca,maria,garzon,https://talenthub.vectorinstitute.ai/profiles/2344505/view_image/1568783215685.jpeg,,"University of Toronto extension graduate student for Data Science with a background in Biology and Philosophy from McMaster University. Passionate about using computational skills, statistical analysis, predictive modeling, data visualization, and project management to solve problems in biological and medical science. Curious, driven, and self-reliant. ",,,https://github.com/MariaGarzon,,https://www.linkedin.com/in/mariapgarzon/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8d7e09af-9cc5-4a97-9e69-3e267b9782e0/resume,,,,,,2021-05-04T18:12:20.540Z,2021-05-14T01:28:57.638Z,False,False,Not Affiliated with Vector,No,Other/Unsure,Ontario,Already Graduated,Not Associated,Ms.,https://www.linkedin.com/in/mariapgarzon/,"Bioinformatics, Data science, Deep learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Biology,"Health, Public Administration (i.e Gov't), Technology (Product Development)","Full Time, Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Toronto,True,True,True,True +e65a9c53-46ab-4786-9e66-493444188cc1,asifr68@yahoo.com,Asif,Rezwan,https://talenthub.vectorinstitute.ai/profiles/1980274/view_image/PP.jpg,Experienced Data Analytics Professional,"Over six years of experience in Risk Analytics, Statistical Modeling and Project Management. Recently completed MSc in Data Science & Analytics from Ryerson University with major focus on Machine Learning, Deep Learning, Artificial Intelligence, and BigData Tools. Skilled in Programming with Python, R, SQL and Data Visualization with Tableau. MBA in Finance with BSc in Applied Statistics. +",6477748083,,https://github.com/asifrez1,,https://www.linkedin.com/in/asifrez1,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e65a9c53-46ab-4786-9e66-493444188cc1/resume,Toronto,Ontario,,Canada,,2020-09-17T16:54:27.554Z,2020-09-18T16:28:36.268Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Already Graduated,,Mr.,www.linkedin.com/in/asifrez1,,Graduate Degree (Masters),Senior Level (5+ Years),Data Science & Analytics,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Contract",,Ryerson University,True,False,True,True +da007ab2-e4d1-4f9b-9652-c7630d1d7500,sandeep.chakraborty86@gmail.com,Sandeep,Chakraborty,https://talenthub.vectorinstitute.ai/profiles/2448019/view_image/1575547080008.jpeg,Data Science Specialist at Bain & Company | Ex BCG,"Over 12 years of relevant experience in Data Science, Machine Learning, and Data Engineering. Well-versed in conceptualizing & architecting solutions, stakeholder management, setting up & managing projects. Specialized in creating Data analytics ecosystems & planning for large BI engagements.",+91 9560969370,,,,https://www.linkedin.com/in/sandeep-chakraborty-41bb1132/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/da007ab2-e4d1-4f9b-9652-c7630d1d7500/resume,,,,,linkedin,2021-07-26T16:33:36.660Z,2021-08-20T20:50:02.889Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/sandeep-chakraborty-41bb1132,"Anomaly detection, Computer vision, Deep learning, Generative modeling, Machine learning, Natural language processing, Optimization, Recommender systems, Reinforcement learning, Self-supervised learning, Time-series forecasting and modelling, Unsupervised learning",Graduate Degree (Masters),Senior Level (5+ Years),Master of Management in Artificial Intelligence,"Professional Services (e.g Consulting), Technology (Product Development)","Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",Queen's University,True,True,True,True +9bca8ffc-806f-4188-90ce-04b04d0bfc17,mohamedanwarvic@gmail.com,Mohamed,Anwar,https://talenthub.vectorinstitute.ai/profiles/2226985/view_image/1594730672004.jpeg,R&D Software Engineer,"I'm an engineer with three years of experience in the industry and right now I'm pursuing my master's degree. My passion is Al in general, NLP, and Speech Processing in particular. I'm hopeful for a position where it can help me get better and sharpen my skills when it comes to successful Al research.",+201127557054,,https://www.github.com/Anwarvic,,https://www.linkedin.com/in/anwarvic/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9bca8ffc-806f-4188-90ce-04b04d0bfc17/resume,Cairo,Ontario,,Canada,linkedin,2021-02-11T11:55:50.212Z,2021-02-27T23:45:03.653Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,African Institute for Mathematical Sciences,Fall 2021,,Mr.,https://www.linkedin.com/in/anwarvic/,,Graduate Degree (Masters),Mid-Level (3-5 Years),African Masters of Machine Intelligence,"Software, Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project",,Other,True,True,True,True +58934bbf-6384-4dc5-88ea-d4fdf57f4e1a,xjcjhbx@hotmail.com,Han,Bingxuan,https://talenthub.vectorinstitute.ai/profiles/1979190/view_image/0.jpeg,Web Developer & MMAI Student,A Web Developer chasing career in Data Science and AI.,6477169377,,http://harryhan.me,,https://www.linkedin.com/in/harryhantoronto/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/58934bbf-6384-4dc5-88ea-d4fdf57f4e1a/resume,Toronto,Ontario,,Canada,linkedin,2020-09-16T15:30:16.953Z,2021-07-23T03:23:11.006Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/harryhantoronto/,,Graduate Degree (Masters),Mid-Level (3-5 Years),MMAI,"Education, Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op","Data Engineer, Data Scientist, Machine Learning Engineer",York University,True,True,True,True +aa59f437-4763-4036-bfd0-a062a6124c9d,gmuhawenayo@aimsammi.org,Gedeon,Muhawenayo,https://talenthub.vectorinstitute.ai/profiles/1944084/view_image/pp.jpeg,Machine Learning Research Student,,+250 788 365 398,,https://gedeonmuhawenayo.github.io/,,https://www.linkedin.com/in/gedeon-muhawenayo-a4650a182/,GGedus,True,False,https://canadaai.jobboard.io/api/v1/profiles/aa59f437-4763-4036-bfd0-a062a6124c9d/resume,,,,,,2020-08-20T16:44:42.394Z,2020-08-21T07:53:05.019Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Rwanda,Already Graduated,"I am a graduate of African Master's in Machine Intelligence, which is being thought by researchers from different AI Labs including Vector Institute.",Mr.,https://www.linkedin.com/in/gedeon-muhawenayo-a4650a182/,,Graduate Degree (Masters),Entry Level (0-2 Years),Machine Intelligence,"Manufacturing , Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship",,Other,True,True,True,True +be64ccfa-b875-46b1-91b8-b7ab2f47da52,kale3370@mylaurier.ca,Kosta,Kalenteridis,https://talenthub.vectorinstitute.ai/profiles/1953896/view_image/0.jpeg,,"Graduating computer science student at Wilfrid Laurier University. +Proficient programmer and also a decent chess player :)",6476489380,,,,https://www.linkedin.com/in/kosta-kalenteridis-038ba4148/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/be64ccfa-b875-46b1-91b8-b7ab2f47da52/resume,Toronto,Ontario,,Canada,linkedin,2020-08-26T23:34:58.079Z,2020-08-26T23:34:58.223Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,"I have no association with the Vector Institute, however I find the companies interesting.",Mr.,https://www.linkedin.com/in/kosta-kalenteridis-038ba4148/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science,"Financial Services, Software",Full Time,,Wilfrid Laurier University,True,False,True,True +eb976da1-e940-4462-b6bd-b78571252f8c,baris.a.kaya@gmail.com,Baris,Kaya,https://talenthub.vectorinstitute.ai/profiles/1932230/view_image/photo.PNG,AI - Financial Markets Quantitative Research & Trading - Business Development,"20 years of experience in financial markets. 12 years on sell-side as a Sales/Trader, Business Development Manager covering hedge fund investors in Emerging Markets and Developed Markets Equities. 8 years on buy-side as quant-trader and quant portfolio manager trading FX and Futures markets, working on all aspects of the research process including methodology selection, data collection and analysis, testing, prototyping, backtesting, and performance monitoring. +Managed to produce positive daily returns on 585 days out of 715 days track record. Discovered alpha capturing relationships using a proprietary approach derived from geometric and mathematical models. +Innovative, intellectually driven investment professional with an intense curiosity about financial markets and human behaviour. Interested in being part of teams within banks/investment management companies who trying to solve financial problems using AI. +",6475241550,,,,https://www.linkedin.com/in/baris-kaya-b507583/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/eb976da1-e940-4462-b6bd-b78571252f8c/resume,Toronto,Ontario,,Canada,,2020-08-13T19:41:10.087Z,2020-10-05T20:38:14.341Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/baris-kaya-b507583/,,Graduate Degree (Masters),Senior Level (5+ Years),Masters of Management in Artificial Intelligence,"Financial Services, Professional Services (e.g Consulting)","Full Time, Co-op",,Queen's University,True,True,True,True +95184284-3750-473d-ab60-a77561457649,ayushee.parida@gmail.com,Ayushee,Parida,https://talenthub.vectorinstitute.ai/profiles/1932192/view_image/ayusheeparida.png,,,,,,,https://www.linkedin.com/in/ayusheep/,,True,False,,Toronto,Ontario,,Canada,,2020-08-13T19:40:45.937Z,2020-09-24T00:50:23.996Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/ayusheep/,,Graduate Degree (Masters),Entry Level (0-2 Years),"Biology (BScH), MHI (C)","Education, Health, Public Administration (i.e Gov't), Technology (Information and Media), Type of Work is More Important to me than Sector","Internship, Contract",,University of Toronto,True,False,True,True +b527b0b8-e564-4057-b29f-8995084d76c3,devin.datt@queensu.ca,Devin,Datt,https://talenthub.vectorinstitute.ai/profiles/1944076/view_image/self_suit_head_bw2.jpg,AI Architect,,4164575420,,https://www.dattanalytics.com/,,https://www.linkedin.com/in/devindatt/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b527b0b8-e564-4057-b29f-8995084d76c3/resume,,,,,,2020-08-20T16:44:35.433Z,2020-08-20T18:35:38.405Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/devindatt/,,Graduate Degree (Masters),Senior Level (5+ Years),AI Management,"Professional Services (e.g Consulting), Software, Technology (Product Development)","Full Time, Internship, Co-op, Contract, Capstone Project",,Queen's University,True,True,True,True +51c6039b-89ee-45e4-9884-171833c85eff,bmahesh464@gmail.com,budavarapu,mahesh,https://talenthub.vectorinstitute.ai/profiles/1945638/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-08-21T16:48:14.477Z,2020-08-21T16:48:14.669Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/budavarapu-mahesh-4869a144/,,,,,,,,,True,True,True,True +cfeb684f-379b-47b3-b2be-85ff8d7e16bf,farzana.heidari@gmail.com,Farzaneh,Heidari,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,True,,,,,,linkedin,2020-08-26T18:54:34.135Z,2020-08-29T22:17:25.249Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/farzaneh-heidari-32919653/,,,,,,,,,True,True,True,True +410fa262-580a-42fd-9d77-14438cc9fb2e,r22khali@uwaterloo.ca,Rayyan,Khalid,https://talenthub.vectorinstitute.ai/profiles/1966775/view_image/image.png,Data Scientist | MDSAI Graduate Student at the University of Waterloo,More than 3 years of experience in building data-driven solutions and softwares for challenging problems that resulted in business growth and advancement. Passionate to learn and build algorithms to solve complex tasks and use cutting-edge technologies.,+1 416-788-8546,,https://github.com/rayyan17,,https://www.linkedin.com/in/rayyan-khalid-0b3631172/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/410fa262-580a-42fd-9d77-14438cc9fb2e/resume,Waterloo,Ontario,,Canada,,2020-09-04T14:57:48.809Z,2021-02-24T14:01:24.410Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/rayyan-khalid-0b3631172/,,Graduate Degree (Masters),Mid-Level (3-5 Years),MMath Data Science and Artificial Intelligence (co-op),"Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Co-op,,University of Waterloo,True,True,True,True +3b8f365f-dd61-490d-a0c1-68ff08e91a25,agolubeva@perimeterinstitute.ca,Anna,Golubeva,https://talenthub.vectorinstitute.ai/profiles/2124668/view_image/atkitp.jpg,researcher with training in Theoretical Physics and a strong experience in Machine Learning," I am a PhD student at Perimeter Institute for Theoretical Physics and the University of Waterloo. My advisor is Roger Melko. +My research is on the intersection between theoretical quantum many-body physics and machine learning. I apply machine learning as a computational tool to solve problems in quantum physics, and I use approaches from theoretical physics to understand deep learning. My goal is to develop a theoretical foundation of deep learning which would in turn allow to expand its applicability in physics. I am particularly interested in approaches involving information theory, statistical learning theory, and statistical physics. Several of my recent projects on the machine-learning side focus on adversarial attacks and model robustness. +Previously, I completed the Perimeter Scholars International master's program (2017), a MSc in Theoretical Physics with focus on computational approaches to quantum many-body systems (2016), and a BSc in Biophysics (2014) at the Goethe University in Frankfurt, Germany.",,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3b8f365f-dd61-490d-a0c1-68ff08e91a25/resume,Waterloo,Ontario,,Canada,,2020-11-06T17:45:29.706Z,2020-11-06T17:45:29.787Z,False,False,Connected to Vector Research,Yes,Post Graduate Affiliate,Roger G Melko,Already Graduated,,Miss.,N/A,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Theoretical Physics,Type of Work is More Important to me than Sector,"Internship, Contract",,University of Waterloo,True,False,True,True +f1e14833-eed0-4178-85b4-226e4979275d,brlambert7818@gmail.com,Brian,Lambert,https://talenthub.vectorinstitute.ai/profiles/1969476/view_image/0.jpeg,,,,,https://github.com/brlambert7818,,https://www.linkedin.com/in/brian-lambert-298727112/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f1e14833-eed0-4178-85b4-226e4979275d/resume,,,,,linkedin,2020-09-07T18:51:15.465Z,2020-09-13T12:42:16.552Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,Recent graduate from MSc Cognitive Science from the University of Edinburgh,Mr.,https://www.linkedin.com/in/brian-lambert-298727112/,,Graduate Degree (Masters),Entry Level (0-2 Years),Cognitive Science,"Health, Professional Services (e.g Consulting), Technology (Information and Media)","Full Time, Internship, Contract",,Other,True,False,True,True +420a732e-4699-4851-81a2-b46bf694cc65,mohamad_fheravi@yahoo.com,Mohammad,Heravi,https://talenthub.vectorinstitute.ai/profiles/1959378/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-08-31T04:16:18.762Z,2020-08-31T04:16:18.943Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/m-heravi/,,,,,,,,,True,True,True,True +b0d784c0-6e24-412e-88f0-5281a2fcd0dd,yenmeeng@gmail.com,Yen,Chan,https://talenthub.vectorinstitute.ai/profiles/2511229/view_image/1599689188080.jpeg,MHI candidate 2023,,5193177288,,,,https://www.linkedin.com/in/yen-chan,,True,False,,Toronto,Ontario,,Canada,linkedin,2021-09-16T03:29:15.625Z,2021-10-11T04:30:47.543Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/yen-chan/,"Bioinformatics, Computational biology, Healthcare and/or medical imaging, Statistical learning theory",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),HBSc in Genetics,"Education, Health, Professional Services (e.g Consulting), Software, Technology (Product Development), Transportation","Full Time, Internship, Co-op, Contract, Capstone Project","Data Analyst, Machine Learning Researcher/Scientist , Product/Project Manager",University of Toronto,True,True,True,True +6b301155-83e3-49ab-bd1d-fa6b3bca2f5b,adam.hall@robotics.utias.utoronto.ca,Adam,Hall,https://talenthub.vectorinstitute.ai/profiles/1956488/view_image/adam_resized-1.jpg,Ph.D. Student in Aerospace/Robotics,"U of T Aerospace/robotics Ph.D. student currently exploring the applications of AI and machine learning to robot control. Previous experience working as a systems and controls engineer on cutting-edge space robotics projects with the United States National Aeronautics and Space Administration (NASA), The United States Defense Advanced Research Projects Agency (DARPA), the Canadian Space Agency (CSA).",4158194864,,,,https://www.linkedin.com/in/adamweshall/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6b301155-83e3-49ab-bd1d-fa6b3bca2f5b/resume,Toronto,Ontario,,Canada,,2020-08-28T15:00:53.192Z,2020-09-11T16:55:10.160Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,Co-supervised by Prof. Angela Schoellig and Prof. Jonathan Kelly,Other/Undetermined,,Mr.,https://www.linkedin.com/in/adamweshall/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Aerospace Engineering with concentration in Robotics,"Financial Services, Manufacturing , Professional Services (e.g Consulting), Software, Technology (Product Development), Type of Work is More Important to me than Sector",Internship,,University of Toronto,True,False,True,True +e04e5fa6-9134-481b-9132-250fcf1e5a3d,oluwaseun.cardoso@mail.utoronto.ca,Oluwaseun,Cardoso,https://talenthub.vectorinstitute.ai/profiles/1722431/view_image/0.jpeg,,,6478358012,,,,https://www.linkedin.com/in/chefq/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e04e5fa6-9134-481b-9132-250fcf1e5a3d/resume,Mississauga,Ontario,,Canada,linkedin,2020-04-18T16:12:29.179Z,2020-04-22T18:01:57.208Z,False,False,Not Affiliated with Vector,No,Other/Unsure,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/chefq/,,Undergraduate Degree (Bachelors),,Computer Science and Statistics,"Software, Type of Work is More Important to me than Sector","Full Time, Internship",,University of Toronto,True,False,True,True +28154c72-db49-453c-971e-b955a5cf9ca0,a.singh@queensu.ca,Anuj,Singh,https://talenthub.vectorinstitute.ai/profiles/2185228/view_image/1DD143A8-4B1A-405B-92A3-3792BF470EC1.jpeg,Project Manager|Business Analysis|Business Consulting| Process Improvement,,,,,,https://www.linkedin.com/in/anujsingh9/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/28154c72-db49-453c-971e-b955a5cf9ca0/resume,,,,,,2021-01-10T19:20:33.900Z,2021-01-12T21:10:25.775Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/anujsingh9/,"Computer vision, Interpretability, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Senior Level (5+ Years),Management in Artificial Intelligence (MMAI),"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Contract, Capstone Project",,Queen's University,True,True,True,True +ec2b4164-a00e-48ba-86ba-a75446f61a04,ge.sayuri@gmail.com,Angela Sayuri,Delci Martini,https://talenthub.vectorinstitute.ai/profiles/2209939/view_image/1589970820953.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-01-29T09:54:50.864Z,2021-01-29T09:54:51.067Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/angela-martini/,,,,,,,,,True,True,True,True +ba383213-e974-43ec-92d1-8f30f9e50685,mlnasell@uwaterloo.ca,Michael,Nasello,https://talenthub.vectorinstitute.ai/profiles/2357617/view_image/Headshot.jpg,Machine Learning Practitioner,,2263460958,,http://michaelnasello.ca,,https://www.linkedin.com/in/michael-nasello/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ba383213-e974-43ec-92d1-8f30f9e50685/resume,,,,,,2021-05-14T15:16:31.366Z,2021-08-20T16:26:53.070Z,False,False,Internal Staff,Yes,Other/Unsure,ON,Spring/Summer 2023 (April - July),Applied Machine Learning Intern,Mr.,https://www.linkedin.com/in/michael-nasello/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Mechatronics Engineering,"Financial Services, Software, Technology (Information and Media), Technology (Product Development)","Internship, Co-op","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Waterloo,True,False,True,True +c16715d1-fc0f-4329-bb18-3c0f7ec4d173,henilparikh113@gmail.com,Henil,Parikh,https://talenthub.vectorinstitute.ai/profiles/2124610/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-11-06T16:21:19.446Z,2020-11-06T16:21:19.667Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/henil113/,,,,,,,,,True,True,True,True +340bb955-4829-41e9-b8f1-17b5af0ab6dc,shimona.narang@gmail.com,Shimona,Narang,https://talenthub.vectorinstitute.ai/profiles/2077763/view_image/0.jpeg,Machine Learning Intern,"I am a data-driven person, trying to solve problems and draw insightful conclusions from the data. With mathematical and statistical acumen, I have the conceptual understanding of machine learning algorithms. I am currently working with Business Intelligence Division at Wolseley Canada Inc. and as NLP research assistant at University of Toronto. I have gained hands-on experience in the field of Data Science through the industrial as well as research projects. I am always keen to know about new technologies and concepts related to machine learning and deep learning. Therefore, I often find myself attending conferences and symposiums to cater my inquisitiveness in the field. I also enjoy participating in various challenges. +Skills: +Languages: +Python, SQL, MATALB +ML Frameworks: +PyTorch, TensorFlow, scikit-learn, Keras, Plotly, statsmodels +NLP Toolkits: +NLTK, Gensim ",6479175693,,,,https://www.linkedin.com/in/shimonanarang/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/340bb955-4829-41e9-b8f1-17b5af0ab6dc/resume,Toronto,Ontario,,Canada,linkedin,2020-09-24T14:28:52.629Z,2020-09-28T00:55:20.382Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/shimonanarang/,,Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Engineering with focus on Data Science,"Education, Financial Services, Health, Professional Services (e.g Consulting), Retail, Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Capstone Project",,University of Toronto,True,True,True,True +2caa008e-3c70-42d1-bcd3-55eed672eca3,rluhms@schulich.yorku.ca,Ricardo,Luhm Silva,https://talenthub.vectorinstitute.ai/profiles/2131797/view_image/Ricardo_CV_Photo.jpeg,Artificial Intelligence Consultant/Researcher,"Professional with 10 of experience in Management, Leadership, and Consulting projects applied to Engineering projects, Innovation Development, and Artificial Intelligence models. +- Lead a team to design a 3D camera prototype for long-range car speed detection +- Worked in the development of the first AI embedded visual inspection for the automaker Renault. +- Worked as Lead Engineer in three complex engineering projects: the construction of an Oil Platform Ship and two refineries",(978) 242 5335,,https://ricardoluhms.medium.com/,,https://www.linkedin.com/in/ricardoluhm/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2caa008e-3c70-42d1-bcd3-55eed672eca3/resume,Toronto,Ontario,,Canada,,2020-11-14T15:08:45.399Z,2021-05-04T18:50:59.196Z,False,False,Recognized Masters Program,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/ricardoluhm/,"Data science, Natural language processing, Unsupervised learning",Graduate Degree (Masters),Senior Level (5+ Years),Master in Artificial Intelligence Management,"Construction or Infrastructure, Manufacturing , Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Internship, Co-op, Contract","Data Analyst, Data Scientist, Product/Project Manager",York University,True,True,True,True +e1bb50c2-a2fb-44be-9081-9bfb2421c286,nikola.pupic@mail.utoronto.ca,Nikola,Pupic,https://talenthub.vectorinstitute.ai/profiles/2185217/view_image/2019-04-01_14.22.02.jpg,Graduate Student Researcher at UHN-KITE and University of Toronto,"My name is Nikola Pupić and I am currently in my second year of my MASc in Biomedical Engineering at the University of Toronto. My research is in the fields of biomedical engineering and orthopaedics. I am currently investigating how to predict patient position and angle from load sensor data using machine and deep learning, analyzing the cost of minor soft tissue injuries treated in emergency departments, and developing streamlined care for soft tissue injuries.",4163899174,,,,https://www.linkedin.com/in/nikolapupic/,home,True,False,https://canadaai.jobboard.io/api/v1/profiles/e1bb50c2-a2fb-44be-9081-9bfb2421c286/resume,Toronto,Ontario,,Canada,,2021-01-10T19:20:32.529Z,2021-01-13T14:21:43.279Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/nikolapupic/,"Data science, Healthcare and/or medical imaging, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),2,"Health, Type of Work is More Important to me than Sector","Full Time, Internship",,University of Toronto,True,True,True,True +02e8fce2-fe72-4165-b746-2bc43b10ca36,jansonjohnpz@gmail.com,Jianxiang,Zhao,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,"Researcher, Software Developer","A motivated, adaptable, responsible new electrical and computing engineering master graduating from Queen’s University seeking a developer position, which will utilize the professional and technical skills developed through 1.5 years experience in this field.",6137707257,,,,https://www.linkedin.com/in/jianxiangzhao/,,True,True,https://canadaai.jobboard.io/api/v1/profiles/02e8fce2-fe72-4165-b746-2bc43b10ca36/resume,Kingston,Ontario,,Canada,,2020-05-08T11:55:06.658Z,2021-12-16T14:08:30.096Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/jianxiang-zhao-7b547619a,"AI safety, Computer vision, Data science, Deep learning, Fairness, Healthcare and/or medical imaging, Machine learning, Natural language processing, Privacy, anonymity, and/or security, Recommender systems",Graduate Degree (Masters),Entry Level (0-2 Years),M.A.Sc in ECE,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Queen's University,True,True,True,True +ff457970-41d3-46f9-b91c-a57cc9d72d29,joeqian96@hotmail.com,Jingxing (Joe),Qian,https://talenthub.vectorinstitute.ai/profiles/1796387/view_image/0.jpeg,Graduate Student at the University of Toronto,,,,,,,,True,False,,Toronto,Ontario,,Canada,linkedin,2020-05-19T14:29:05.301Z,2020-05-19T14:29:05.557Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,Prof. Angela Schoellig,Fall 2022,,Mr.,https://www.linkedin.com/in/jingxingqian/,,Graduate Degree (Masters),,Robotics,,Internship,,University of Toronto,True,True,True,True +b92c373c-73b4-410d-8e7e-81a2baeca065,joseph.villamizar@scotiabank.com,Joseph,Villamizar Lopez,https://talenthub.vectorinstitute.ai/profiles/1811142/view_image/0.jpeg,Payments-FinTechs-Partnerships-AI,"Innovative and determined leader with a design and results-oriented mindset focused on solving complex customer needs and bringing new solutions to them, with over 18 years of experience in product management, business development, strategic and operational planning, assessment and delivery of digital transformation programs, ecosystem and community engagement for continuous innovation. Currently working on building a Payments highway for our Customers across the Pacific Alliance countries(Mexico, Colombia, Peru, Chile) and Canada.",6476313806,,http://hubbleai.ca,,https://www.linkedin.com/in/joseph-villamizar/,josephvillami,True,False,,Toronto,Ontario,,Canada,linkedin,2020-06-02T18:21:05.192Z,2020-06-02T18:21:05.412Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Smith,Already Graduated,,Mr.,https://www.linkedin.com/in/joseph-villamizar/,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Management in Artificial Intelligence,"Financial Services, Health, Public Administration (i.e Gov't), Technology (Product Development)",Full Time,,Queen's University,True,True,True,True +1f358084-137d-458d-9495-7fff71291c0a,ssmahdavi@gmail.com,S. Sara,Mahdavi,https://talenthub.vectorinstitute.ai/profiles/1796363/view_image/0.jpeg,Experienced research scientist,"I have a PhD in Biomedical engineering from UBC, and 8 years resesrch experience in a healthcare environment in the fields of machine learning, image processing for clinical applications. ",,,,,https://www.linkedin.com/in/s-sara-mahdavi,,True,False,https://canadaai.jobboard.io/api/v1/profiles/1f358084-137d-458d-9495-7fff71291c0a/resume,,,,,linkedin,2020-05-19T14:13:42.117Z,2020-07-13T14:50:52.720Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,Studied at UBC. Seeking jobs in Toronto,Mrs.,https://www.linkedin.com/in/s-sara-mahdavi,,Postgraduate Degree (PhD),Senior Level (5+ Years),Electrical and Computer eng. dept.,"Education, Health, Manufacturing , Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development)",Full Time,,Other,True,True,True,True fc70a590-d48d-4c63-92e3-506c1809987b,nickyjiaxiwang@gmail.com,Nicky,Wang,https://talenthub.vectorinstitute.ai/profiles/1550465/view_image/0.jpeg,,,647-898-8703,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/fc70a590-d48d-4c63-92e3-506c1809987b/resume,Markham,Ontario,,Canada,linkedin,2019-12-03T14:27:15.162Z,2020-06-02T15:09:10.940Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/wangnicky/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management in Artificial Intelligence,"Financial Services, Professional Services (e.g Consulting), Technology (Product Development)",Full Time,,Queen's University,True,True,True,True +88dc062f-2d50-4091-ae28-991bce7e14e6,bhargavkanuparthi25@gmail.com,Bhargav,Kanuparthi,https://talenthub.vectorinstitute.ai/profiles/1741152/view_image/0.jpeg,,,,,,,https://www.linkedin.com/in/bhargav-kanuparthi-956028128/,,True,False,,Montreal,Quebec,,Canada,linkedin,2020-05-09T00:42:32.474Z,2020-05-11T21:54:57.735Z,False,False,Connected to Another AI Institute,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/bhargav-kanuparthi-956028128/,,Graduate Degree (Masters),,Msc. Computer Science,Type of Work is More Important to me than Sector,Full Time,,Other,True,True,True,True 3281a7e5-e4e6-438b-93b5-70cced4a6bee,kishoreshaurya10@gmail.com,Shaurya,Kishore,https://talenthub.vectorinstitute.ai/profiles/1549551/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-02T23:08:09.835Z,2020-01-10T17:37:37.811Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/shauryakishore/,,,,,,,,,True,True,True,True -7d180944-163e-44b5-87e7-4da9d9676d4e,yafaa1005@gmail.com,Yafaa,Ben Tili,https://talenthub.vectorinstitute.ai/profiles/2190911/view_image/1570833510869.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-01-14T15:36:32.955Z,2021-01-14T15:36:33.107Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/yafaa-ben-tili/,,,,,,,,,True,True,True,True -c721e921-eaf9-44c9-b172-5fac7fe26081,yz3lin@uwaterloo.ca,Yun Zhi (Judy),Lin,https://talenthub.vectorinstitute.ai/profiles/2507725/view_image/1629847283700.jpeg,,,,,,,https://www.linkedin.com/in/yunzhi-judy-lin/,,True,False,,,,,,linkedin,2021-09-13T16:59:07.473Z,2022-01-18T18:24:49.748Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Ms.,https://www.linkedin.com/in/yunzhi-judy-lin/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Science and Artificial Intelligence (MDSAI),"Education, Financial Services, Health, Retail, Software, Technology (Product Development), Type of Work is More Important to me than Sector","Internship, Co-op","Data Engineer, Data Scientist, Machine Learning Engineer",University of Waterloo,True,True,True,True -664a46f6-8b90-407f-9dfa-54fb3dfa7624,15rlt@queensu.ca,Rachel,Theriault,https://talenthub.vectorinstitute.ai/profiles/1832447/view_image/IMG_0513.jpeg,MSc Student,"My name is Rachel Theriault and I am entering the MSc program at Queen's University under the supervision of Dr. Randy E. Ellis in the AI field of study. I recently graduated from the biomedical computing undergraduate program at Queen's University. I completed my undergraduate thesis under the supervision of Dr. Randy. E. Ellis gaining experience in presentations and publications. I currently hold a Vector Scholarship in AI, and held an USRA after my third year of my undergraduate degree. My current research is focused on detection of breast cancer from mass spectrometry images utilizing machine learning clustering techniques differing from the typical univariate and multivariate methods used on such data. I am excited to learn new things, and enjoy tackling new fields of research. I value teams I have the opportunity to work with and discussions to build new ideas. I hope to continue to be a part of innovative research in the field of AI.",,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/664a46f6-8b90-407f-9dfa-54fb3dfa7624/resume,Kingston,Ontario,,Canada,,2020-06-16T19:24:45.698Z,2020-06-18T15:32:46.400Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Miss.,https://www.linkedin.com/in/rachel-theriault-0485391b3/,,Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Science in the Field of Artificial Intelligence,"Education, Health, Technology (Information and Media), Technology (Product Development)","Full Time, Contract, Capstone Project",,Queen's University,True,True,True,True -4ccb667f-0878-4d7c-b3be-a863d8c50610,kpsingh@schulich.yorku.ca,Kanwarpreet,Singh,https://talenthub.vectorinstitute.ai/profiles/2114244/view_image/kpsquare.jpg,Master of Business Analytics (MBAN'21) student at Schulich School of Business,"Data speaks the truth, intuitions can be wrong. I realized the importance of data analytics while working with my last employer wherein I had used data and visualization to deliver exceptional results. That is when I decided to pursue a career in the field of Data Science after a successful sales and leadership career stint of 10+ years. A career that allowed me to develop strong communication and project management skills, which together with the technical skills I am learning at the Schulich Master's program specializing in the field of data analytics and AI, will allow me to bring in transformational impact for any organization that I work for post my graduation in April 2021. The 8-month long analytics consulting project (co-op) that I am part of with Deloitte - Omnia AI, is already preparing me for becoming such a leader in the field.",6478332082,,,,https://www.linkedin.com/in/kanwarpreet-singh/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4ccb667f-0878-4d7c-b3be-a863d8c50610/resume,Brampton,Ontario,,Canada,,2020-10-27T14:44:13.580Z,2021-03-15T23:19:46.986Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/kanwarpreet-singh/,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Business Analytics,"Construction or Infrastructure, Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Telecommunications, Type of Work is More Important to me than Sector",Full Time,,York University,True,False,True,True -cf68b754-916b-4b33-b2ec-41e487820bf0,sayeh.sharifi@gmail.com,Sayeh,Sharify,https://talenthub.vectorinstitute.ai/profiles/1552635/view_image/Sayeh_photo2.JPEG,Senior Machine Learning Engineer,"Experienced PhD in Computer Engineering, from University of Toronto, with a demonstrated -history of research in designing accelerators for deep learning algorithms, skilled in Computer Architecture, Machine Learning, Algorithms and Data Structures, C/C++, and Python.",,,https://scholar.google.ca/citations?hl=en&user=1QehFwQAAAAJ&view_op=list_works&sortby=pubdate,,https://www.linkedin.com/in/sayeh-sharify-a72b9186,,True,False,https://canadaai.jobboard.io/api/v1/profiles/cf68b754-916b-4b33-b2ec-41e487820bf0/resume,Toronto,Ontario,,Canada,,2019-12-04T19:04:12.039Z,2020-04-02T01:51:16.134Z,False,False,Connected to Vector Research,Yes,Post Graduate Affiliate,,Already Graduated,,Mrs.,https://www.linkedin.com/in/sayeh-sharify-sharifymoghaddam,,Postgraduate Degree (PhD),Senior Level (5+ Years),"PhD, computer Engineering","Education, Health, Professional Services (e.g Consulting), Software",Full Time,,University of Toronto,True,True,True,True -90906d5d-f6db-4f82-b0e5-c6f3a7142d45,frohan.foroutan@carleton.ca,Frohan,Foroutan,https://talenthub.vectorinstitute.ai/profiles/1577725/view_image/FrohanForoutan.png,Economics and Venture for Canada Fellow,"I am a quantitatively-oriented recent MA graduate in Economics with a Specialization in Data Science. I have a strong mathematical, computing, and analytical skills, very good verbal skills, and excellent interpersonal and communications skills. In addition to English, I am also fluent in Farsi, Arabic, and Achomi. -Currently, I am expanding my horizons by studying entrepreneurship through a prestigious Fellowship at Venture for Canada. -I am always keen to explore new areas and to learn new things. In addition, I enjoy giving back and to this end I have engaged in a broad range of voluntary activities and services. If you know of any positions where I could help, please reach out.",6138517310,,,,https://www.linkedin.com/in/frohan,,True,False,https://canadaai.jobboard.io/api/v1/profiles/90906d5d-f6db-4f82-b0e5-c6f3a7142d45/resume,Ottawa,Ontario,,Canada,,2019-12-31T02:52:23.102Z,2021-09-23T15:11:57.735Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Ms.,https://www.linkedin.com/in/frohan/,"Data science, Game theory, Healthcare and/or medical imaging, Optimization",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Arts in Economics with specialization in Data Science,Type of Work is More Important to me than Sector,"Full Time, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Product/Project Manager, Other ",Carleton University,True,True,True,True -ed93777e-9168-4521-b5bd-deff5040631a,kdesai@sfu.ca,Kunal Niranjan,Desai,https://talenthub.vectorinstitute.ai/profiles/1572162/view_image/0.jpeg,,,7783172763,,,,https://linkedin.com/in/kunal-desai-b01857103/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ed93777e-9168-4521-b5bd-deff5040631a/resume,,British Columbia,,Canada,linkedin,2019-12-22T12:01:29.630Z,2020-01-20T17:58:15.424Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://linkedin.com/in/kunal-desai-b01857103/,,,,Professional Master's Degree in Big Data,"Software, Technology (Product Development)","Internship, Co-op",,Other,True,False,True,True -dd2781b1-425c-433c-9530-205da27a52ab,eric.nielsen@mail.mcgill.ca,Eric,Nielsen,https://talenthub.vectorinstitute.ai/profiles/1552153/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-04T14:21:35.374Z,2019-12-04T14:21:35.734Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/ericandrewnielsen/,,,,Masters of Management Analytics,"Financial Services, Retail, Telecommunications",Full Time,,University of Toronto,True,False,True,True -c9535cc5-75cc-4531-ac90-5cd36446d07a,20el18@queensu.ca,Ernesto,Lang Oreamuno,https://talenthub.vectorinstitute.ai/profiles/2648568/view_image/smallweb-22554.jpg,,,3433649540,,,,https://www.linkedin.com/in/ernesto-lang-oreamuno-aa8858219,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c9535cc5-75cc-4531-ac90-5cd36446d07a/resume,,,,,,2022-01-13T20:27:36.204Z,2022-01-17T19:36:00.171Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/ernesto-lang-oreamuno-aa8858219,,Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Computer Science,"Financial Services, Retail, Software, Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract, Capstone Project","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Software Engineer",Queen's University,True,True,True,True -6460969a-e281-4c2c-b571-0aea034224f0,wuga214@gmail.com,Ga,Wu,https://talenthub.vectorinstitute.ai/profiles/1505154/view_image/7734865.jpeg,Machine Learning PhD,"I am going to finish my Ph.D. study at the University of Toronto in April 2020. My research focuses on Recommender Systems, Machine Learning, Deep Learning. I have around 11 publications on machine learning& AI top tier conference and 5 papers under review. I had worked for Amazon, Layer6 AI, and Shopify in the last few years as a temporary data scientist",,,,,https://www.linkedin.com/in/mrwuga/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6460969a-e281-4c2c-b571-0aea034224f0/resume,,,,,,2019-11-01T17:00:05.609Z,2020-05-07T21:35:03.027Z,False,False,Connected to Vector Research,Yes,Post Graduate Affiliate,,Already Graduated,,Mr.,https://www.linkedin.com/in/mrwuga/,,Postgraduate Degree (PhD),,PhD information engineering,,Full Time,,University of Toronto,True,False,True,True -e8a05a7b-f423-4ed2-90a2-b840cda67a6c,oyew7070@mylaurier.ca,Einstein,Oyewole,https://talenthub.vectorinstitute.ai/profiles/1573808/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-24T18:27:39.929Z,2019-12-24T18:27:40.296Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/einstein-oyewole-8b2646178/,,,,,,,,,True,False,True,True -c09eb903-7a28-4b68-911e-696dddd8f9de,gabrielcantareira@gmail.com,Gabriel,Cantareira,https://talenthub.vectorinstitute.ai/profiles/2114379/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-10-27T16:51:44.708Z,2020-10-27T16:51:44.977Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/gabrielcantareira/,,,,,,,,,True,False,True,True -ea7087e9-23f4-464d-a031-b29c5b5d0710,msmjudd@hotmail.com,Melissa,"Judd, MBA",https://talenthub.vectorinstitute.ai/profiles/1510933/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-11-05T21:06:34.080Z,2019-11-05T21:06:34.367Z,False,False,Internal Staff,Yes,Other/Unsure,,,,Ms.,https://www.linkedin.com/in/melissajudd-mba/,,,,Kkk,,"Full Time, Capstone Project",,York University,,,True, -b0686523-bbea-4351-a662-48b6f7d13d04,nicholas@ponari.ca,Nicholas,Ponari,https://talenthub.vectorinstitute.ai/profiles/2839102/view_image/1647467563271.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-06-02T15:14:37.053Z,2022-06-02T15:14:37.901Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/nicholasponari/,,,,,,,,,True,True,True,True -c9ab75e5-6af1-42e6-bdf6-472fa6046e00,donya.hamzeheian@gmail.com,Donya,Hamzeian,https://talenthub.vectorinstitute.ai/profiles/2226237/view_image/1555782271035.jpeg,Data Scientist | NLP engineer ,"I am a data scientist with a focus on Natural Language Processing. I will soon receive my Masters degree in statistics from the University of Waterloo. My Master's thesis is about using machine learning algorithms for finding the topics of COVID-19 Open Research Dataset. I managed to achieve outstanding results. -• Bachelor in Computer Science (minor in Economics) -• 4+ years experience in statistical data analysis, machine learning, and data visualization -• 1+ years of experience with deep learning models Convolution Neural Networks (CNN), Recurrent Neural Networks (RNN), and BERT in pytorch and Keras -• Experience in performing Feature Selection, Supporting Vector Machines (SVM), Naive Bayes, K-Nearest Neighbors (KNN), Random Forest, Boosting to train and test the huge data sets.",2265059329,,,,https://www.linkedin.com/in/donya-hamzeian-a7ba48130/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c9ab75e5-6af1-42e6-bdf6-472fa6046e00/resume,Toronto,Ontario,,Canada,linkedin,2021-02-10T21:12:18.648Z,2021-03-24T00:43:54.703Z,False,False,Recognized Masters Program,Yes,Other/Unsure,Ali Ghodsi,Already Graduated,My professor is a Vector Affiliate,Mrs.,https://www.linkedin.com/in/donya-hamzeian-a7ba48130/,"Data science, Deep learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),MMATH in statistics,"Financial Services, Health, Technology (Information and Media), Technology (Product Development)","Full Time, Internship",,University of Waterloo,True,True,True,True -3302552d-c97c-46da-bc56-227037c38f12,adelin.travers@oxfordalumni.org,Adelin,Travers,https://talenthub.vectorinstitute.ai/profiles/2113673/view_image/0.jpeg,PhD student in AI and Cyber security,,,,https://alkaet.github.io/,,https://www.linkedin.com/in/adelin-t-04946b60/,alkae_t,True,False,https://canadaai.jobboard.io/api/v1/profiles/3302552d-c97c-46da-bc56-227037c38f12/resume,,,,,linkedin,2020-10-27T03:33:25.642Z,2020-10-27T03:33:25.815Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/adelin-t-04946b60/,"Adversarial learning, AI safety, Privacy, anonymity, and/or security",Postgraduate Degree (PhD),Mid-Level (3-5 Years),PhD in ECE,,"Full Time, Internship, Co-op, Contract",,University of Toronto,True,True,True,True -2a19ad53-91cd-4152-9b46-963e4be75943,rv.97ad@gmail.com,Rohan,Verma,https://talenthub.vectorinstitute.ai/profiles/2716120/view_image/1580751470185.jpeg,,,17809324161,,,,https://www.linkedin.com/in/therohanverma/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2a19ad53-91cd-4152-9b46-963e4be75943/resume,Edmonton,Alberta,,Canada,linkedin,2022-03-06T01:42:00.505Z,2022-03-06T01:42:01.009Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/therohanverma/,"Anomaly detection, Computer vision, Data science, Deep learning, Healthcare and/or medical imaging, Machine learning, Natural language processing, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),M.Sc. in Computing Science,Type of Work is More Important to me than Sector,"Internship, Contract","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True -422b3ff0-03d1-4c4f-a51e-7633ea12aff3,jialin.liu@queensu.ca,Xixi,Liu,https://talenthub.vectorinstitute.ai/profiles/1863332/view_image/XIXI.jpg,Master of Management Analytics at Smith School of Business at Queen’s University,,4376887777,,,,https://www.linkedin.com/in/liuxixi677/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/422b3ff0-03d1-4c4f-a51e-7633ea12aff3/resume,Toronto,Ontario,,Canada,,2020-07-08T17:03:19.377Z,2020-07-21T15:03:48.198Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/liuxixi677/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of management analytics,"Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Technology (Product Development)","Full Time, Internship, Co-op, Contract",,Queen's University,True,True,True,True -9145fb8b-93a3-4133-ae4e-4028391e4ad0,rashidi.zana@gmail.com,Zana,Rashidi,https://talenthub.vectorinstitute.ai/profiles/2116943/view_image/IMG_0118.png,Machine Learning Researcher,"I graduated from my bachelors in Computer Engineering at Sharif University of Technology, Iran. I studied my Masters in Computer Science at York University, Canada. I'm currently a Research Assistant at York University. ",6479289027,,https://github.com/zanarashidi,,https://www.linkedin.com/in/zana-rashidi/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9145fb8b-93a3-4133-ae4e-4028391e4ad0/resume,Toronto,Ontario,,Canada,linkedin,2020-10-30T01:54:49.898Z,2021-01-05T16:30:24.381Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ruth Urner (Thesis Committee),Already Graduated,,Mr.,https://www.linkedin.com/in/zana-rashidi/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship",,York University,True,True,True,True -f4163016-48ad-4883-b91b-2df00fb14c90,purvaja.soochit@brewai.com,Purvaja,Soochit,https://talenthub.vectorinstitute.ai/profiles/2807370/view_image/1650910992479.jpeg,Vice President BrewAI Canada,"Purvaja is an executive at BrewAI and is leading their Canadian practice. She is helping clients adopt AI faster with BrewAI's end to end automation no code platform. She is an adaptable and transformational leader with an ability to build a team from the ground up, manage large scale changes across multiple teams in an organization, and develop opportunities that further establish organizational goals.",5879983052,,,,https://www.linkedin.com/in/purvajasoochit/,,True,False,,Calgary,Alberta,,Canada,linkedin,2022-05-11T21:53:57.862Z,2022-05-11T21:53:58.637Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,Employer,Mrs.,https://www.linkedin.com/in/purvajasoochit/,"Deep learning, Machine learning, Wearable technology and/or Internet of Things",Undergraduate Degree (Bachelors),Senior Level (5+ Years),Actuarial Science and Statistics,"Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Contract",Other ,Other,True,False,True,True -6aff481b-2588-4c9a-86b3-617ad4723203,will_mueller@live.ca,Willem,Mueller,https://talenthub.vectorinstitute.ai/profiles/2115334/view_image/0.jpeg,,,6137701433,,,,https://www.linkedin.com/in/willemmueller,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6aff481b-2588-4c9a-86b3-617ad4723203/resume,Toronto,Ontario,,Canada,linkedin,2020-10-28T14:36:05.505Z,2020-10-28T14:36:05.737Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/willemmueller,,Graduate Degree (Masters),Entry Level (0-2 Years),Electrical and Computer Engineering,"Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,,Queen's University,True,True,True,True -125b06aa-eb3c-4046-a29e-d66b9d9f9467,ratcliffe.e.r@gmail.com,Emma,Ratcliffe,https://talenthub.vectorinstitute.ai/profiles/2197568/view_image/1574725952443.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-01-19T20:35:20.162Z,2021-01-19T20:35:20.424Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/emma-ratcliffe-04166812a/,,,,,,,,,True,True,True,True -78ab3302-a232-4ef1-ad22-70a8b9af7e6e,ortiztorresmarc@gmail.com,Marc,Ortiz Torres,https://talenthub.vectorinstitute.ai/profiles/1927341/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-08-11T16:11:20.335Z,2020-08-11T16:11:20.759Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/12346jsj/,,,,,,,,,True,False,True,True -66267f31-e012-4f18-8823-ee4a26be2b9e,james.liangyy@gmail.com,James,Liang,https://talenthub.vectorinstitute.ai/profiles/2122693/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-11-05T00:00:37.012Z,2020-11-05T00:00:37.185Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/james-l-3b150b134/,,,,,,,,,True,True,True,True +0fe0b633-7f69-42bc-a6f7-06adfdbe1364,patilrupesh43@gmail.com,Rupesh,Patil,https://talenthub.vectorinstitute.ai/profiles/1549703/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-03T03:08:17.319Z,2019-12-03T03:08:17.522Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/patilrupesh43/,,,,,,,,,True,True,True,True +35029821-ac07-430b-b3e3-fa1c3b4c05fc,charlie.chen.hc@gmail.com,Hung-Chi,Chen,https://talenthub.vectorinstitute.ai/profiles/3005952/view_image/1615463667684.jpeg,Master of Management in Artificial Intelligence Student,"Highly motivated and detail-oriented Data Analyst having 3 years of experience in industrial hardware manufacturing and the real estate industry. Deeply driven by analyzing, optimizing, and implementing cutting-edge solutions. I am eager to grow my career by turning plain data into powerful business insight. I seek to contribute my skill set to a company that provides me with professional development and opportunity for growth. + +Areas of specialties: +• Python, SQL, Tableau, R, Advanced MS Excel, Business/ Data Analytics +• Machine Learning: Supervised & Unsupervised learning, Hyperparameter tuning +• Lean Six Sigma/Continuous Process Improvement/ Root-cause Analysis, Workflow Design/Process improvement & control",4374241230,,,,https://www.linkedin.com/in/hungchichen/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/35029821-ac07-430b-b3e3-fa1c3b4c05fc/resume,Toronto,Ontario,,Canada,linkedin,2022-09-17T04:06:05.366Z,2022-09-22T23:26:32.161Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Adam Renkosinski,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/hungchichen/,"Data science, Machine learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management in Artificial Intelligence,"Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",York University,True,True,True,True +94ddbe64-4d77-4d4b-b7a2-66190c6eeba2,philipp.eibl@mail.utoronto.ca,Philipp,Eibl,https://talenthub.vectorinstitute.ai/profiles/3094255/view_image/1632509605270.jpeg,Data Scientist,,2502586655,,http://philippnoah.github.io,,https://www.linkedin.com/in/philippeibl/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/94ddbe64-4d77-4d4b-b7a2-66190c6eeba2/resume,Toronto,Ontario,,Canada,linkedin,2022-10-26T20:47:55.159Z,2023-03-03T12:43:27.357Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Frank Rudzicz,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/philippeibl/,"Deep learning, Natural language processing, Representation learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science,,"Full Time, Internship","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Toronto,True,False,True,True +be18433c-b355-4e5a-917d-7bd4d55d02f4,muni.dimitra@gmail.com,Dimitra,Muni,https://talenthub.vectorinstitute.ai/profiles/3014371/view_image/1653980802719.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-09-22T14:25:45.923Z,2022-09-22T14:25:46.367Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/dimitramuni/,,,,,,,,,True,True,True,True +ccda7b67-edf2-4395-b662-d983539fd0d2,ikameni@aimsammi.org,Irene Raissa ,Kameni Kameni ,https://talenthub.vectorinstitute.ai/profiles/2109093/view_image/IMG-20220217-WA0009_2_.jpg,,,,,,,https://www.linkedin.com/in/irene-kameni-49201112b,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ccda7b67-edf2-4395-b662-d983539fd0d2/resume,,,,,,2020-10-21T22:03:09.756Z,2022-11-13T09:42:37.653Z,False,False,Connected to Vector Research,Yes,Other Vector Programming,Rich Zemel,Already Graduated,I got an internship at Vector to work with Rich Zemel after met him in Rwanda (for the program of Master in machine Intelligence) as lecturer.,Mrs.,https://www.linkedin.com/in/irene-kameni-49201112b,"Computer vision, Data science, Few-shot learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Machine Intelligence,"Financial Services, Software, Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op","Data Analyst, Data Engineer, Data Scientist, Machine Learning Researcher/Scientist ",Other,True,True,True,True +4f7a4353-2dde-4452-8489-8983b5a8457d,dounialakhmiri@gmail.com,Dounia,Lakhmiri,https://talenthub.vectorinstitute.ai/profiles/2872980/view_image/1652277528790.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-06-24T17:51:27.815Z,2022-06-24T22:26:08.583Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/dounia-lakhmiri/?trk=public_profile_browsemap_profile-result-card_result-card_full-click&originalSubdomain=ca,,,,,,,,,True,True,True,True +3e769f47-589d-4d8f-9107-ae9e036ee006,pinardc@uoguelph.ca,Christopher,Pinard,https://talenthub.vectorinstitute.ai/profiles/3125606/view_image/1517526313539.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-11-08T03:14:57.822Z,2022-11-10T22:14:23.742Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/christopher-pinard-a96a4b49/,,,,,,,,,True,True,True,True +1c557d88-ba1e-4b3d-a850-b4ba0b1e5f55,hamzah.sampad@gmail.com,Hamzah Al Haque Bin,Zaman,https://talenthub.vectorinstitute.ai/profiles/3004218/view_image/DSC_5421_copy_copy__1_.jpg,,"HI, I am currently open to work and looking for a data analyst or consultant type role. + +",6476215619,,https://github.com/HamzahZaman21,,https://www.linkedin.com/in/hamzahzaman,,False,False,https://canadaai.jobboard.io/api/v1/profiles/1c557d88-ba1e-4b3d-a850-b4ba0b1e5f55/resume,,,,,,2022-09-15T23:01:51.016Z,2023-05-31T15:21:42.113Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/hamzah-zaman-93bba6142/,"Data science, Deep learning, Machine learning, Optimization",Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Management in Artificial Intelligence,Type of Work is More Important to me than Sector,Full Time,"Data Engineer, Data Scientist, Machine Learning Engineer",York University,True,True,True,True +ff6322b8-f58d-45d6-93c0-9eb35c3e8804,matthew.g.crowson@gmail.com,Matthew,Crowson,https://talenthub.vectorinstitute.ai/profiles/1551337/view_image/0.jpeg,"ENT Surgeon at Harvard Medical School Bridging medicine, data science, healthcare delivery","I’m a surgeon-data scientist on faculty at Harvard looking for opportunities to apply my passion for healthcare delivery + ML + data in a strategic solutioning role. +I have a background in engineering and develop machine learning approaches applied to clinical data in a variety of formats - tabular, vision, and unstructured text. I lead pre- and post-doctoral trainees on various ML projects spanning disease prognostication, synthetic data generation, and diagnostic decision support. I also serve as the ML engineer for an AI-augmented point-of-care handheld device that is currently in the commercialization pipeline of our healthcare system. I’m team first and love empowering others to achieve goals.",1-857-222-2830,,,,https://www.linkedin.com/in/matthewgcrowson/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ff6322b8-f58d-45d6-93c0-9eb35c3e8804/resume,Toronto,Ontario,,Canada,linkedin,2019-12-04T00:29:49.947Z,2022-09-09T14:30:31.493Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Dr.,https://www.linkedin.com/in/matthewgcrowson/,,Postgraduate Degree (PhD),Senior Level (5+ Years),MASc - Mechanical & Industrial Engineering,Health,"Full Time, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +4a34ccba-3c7e-4fea-90d6-da2b380c3287,khairnardevashish@gmail.com,Devashish Pradeep,Khairnar,https://talenthub.vectorinstitute.ai/profiles/2994396/view_image/profile_pic.jpeg,Graduate Student at University of Toronto (MSc in Applied Computing),"I am a graduate student at the Department of Computer Science pursuing a Master of Science in Applied Computing (MScAC) at the University of Toronto. My research interest lies in the applications of machine learning, deep learning, and NLP, especially in healthcare, fintech, and HCI. Currently, I'm open to part-time or internship opportunities preferably in the mentioned research domains. + +Previously, I worked for DeepTek Medical Imaging as a Data Scientist Assc., where I explored and researched the application of different image segmentation techniques to segment pathologies from medical radiographs. Here I got the opportunity to build a model for foreign bodies segmentation and detection for FDA approval using TensorFlow. Before working at DeepTek, I also worked at ACI Worldwide as a member of the R&D Development team where I built microservices to reduce operational costs and support business functions by integrating multiple payment gateways with existing systems. + +I completed my undergraduate studies in Computer Science at the Pune Institute of Computer Technology (PICT) in 2019. I was also a vice-president at PICT ACM India Students Chapter in 2018. I am proficient in C++, Python, C#, and Java programming languages along with experience in SQL and MongoDB database systems and cutting-edge technologies like ML and DL and their applications. I continually seek to improve myself and have proven the same over the past years through my projects, skills, and experiences. + +Growing up as a sci-fi movie aficionado, I was continuously intrigued by the advanced technology portrayed in them. However, with diverse professional and academic experience under my belt, this time around, I am able to comprehend the interplay of various technologies in AI, Machine Learning, and Software Industry that make these technological evolutions a possibility. + +Feel free to connect and check my portfolio here: https://khairnardevashish.netlify.app/",+1 6476182631,,https://khairnardevashish.netlify.app/,,https://www.linkedin.com/in/devashishkhairnar/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4a34ccba-3c7e-4fea-90d6-da2b380c3287/resume,Toronto,Ontario,,Canada,,2022-09-09T12:59:55.718Z,2022-09-22T04:46:03.211Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/devashishkhairnar/?originalSubdomain=in,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),MSc in Applied Computing,,"Internship, Capstone Project","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,False,True,True +8a384c1b-37cb-4911-b1a0-1bdae1120b5e,palak14garg@gmail.com,Palak,Garg,https://talenthub.vectorinstitute.ai/profiles/3013136/view_image/Palak_Garg_Passport.jpg,Analytics Consultant at HelloFresh,"I am data enthusiast who enjoys harnessing data to bring insights into the light. I have started working working at HelloFresh as analytics consultant on a demand planning project. +Prior to this, I worked as a decision analytics consultant with ZS Associates where i dealt with pharmaceutical data on daily basis. I worked on projects that required assessing analytical needs and strategically positioning, sales and marketing programs aligned with business needs/projections. +I am always keen to learn something new every day while adding value to the organization I am associated with and passionate about problem-solving and driven by the impact that I can create on people through my work. +",4165164896,,,,https://www.linkedin.com/in/palak14garg/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8a384c1b-37cb-4911-b1a0-1bdae1120b5e/resume,Toronto,Ontario,,Canada,linkedin,2022-09-21T20:34:18.826Z,2022-09-21T20:34:19.293Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Ms.,https://www.linkedin.com/in/palak14garg/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Business Analytics,"Financial Services, Health, Retail, Telecommunications, Transportation","Full Time, Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer",York University,True,True,True,True +79836a33-0718-4dd5-8a43-7e941988afcc,kavitha.bakshi@gmail.com,Kavitha,Bakshi,https://talenthub.vectorinstitute.ai/profiles/1550615/view_image/KavithaBakshi__2_.jpg,Machine Learning Intern,"Pursuing my Masters with Specialization in Artificial Intelligence at York University and looking for Internship opportunities. +Have worked as Research Assistant at Aptly Lab, York university for 8 months and successfully completed 2 Machine Learning research projects +Have 6 years of coding experience",6476152124,,,,https://www.linkedin.com/in/kavitha-bakshi-3431387,,True,False,https://canadaai.jobboard.io/api/v1/profiles/79836a33-0718-4dd5-8a43-7e941988afcc/resume,Toronto,Ontario,,Canada,,2019-12-03T15:50:01.473Z,2022-08-29T18:06:34.610Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Mrs.,https://www.linkedin.com/in/kavitha-bakshi-3431387/,,Graduate Degree (Masters),Senior Level (5+ Years),Master's in CS with specialization in AI,"Financial Services, Retail, Telecommunications","Internship, Co-op, Contract",,York University,True,True,True,True +4c375165-4126-48b9-849c-52c848889d38,bomingshi@outlook.com,Boming,Shi,https://talenthub.vectorinstitute.ai/profiles/3012363/view_image/1663760511996.jpeg,Data scientist,"I graduated from the University of Ottawa with a thesis master of Computer Science concentration in applied artificial intelligence. I am currently seeking a job related to data engineer, machine learning or artificial intelligence. My previous research focuses on unsupervised learning, including topics in noise contrastive estimation, energy-based models, generative adversarial networks and so on. + +I have experience in developing state-of-the-art machine learning algorithms and theories. In addition, I am also interested in developing application-level machine learning products, especially in the medical and financial industries. My professional skills include, image processing, natural language processing, and data engineering.",6132527856,,,,https://www.linkedin.com/in/bomingshi,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4c375165-4126-48b9-849c-52c848889d38/resume,,Ontario,,Canada,linkedin,2022-09-21T12:03:31.063Z,2022-09-27T12:55:44.085Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/bomingshi/,"Adversarial learning, Anomaly detection, Deep learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Computer Science Concentration in Applied Artificial Intelligence,"Financial Services, Health, Manufacturing , Software, Technology (Product Development)",Full Time,"Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Ottawa,True,True,True,True +2a7c81da-10dd-40ff-9f45-011f1fed0290,fernando.barrios09@gmail.com,Fernando,Barrios,https://talenthub.vectorinstitute.ai/profiles/2971428/view_image/1569445634392.jpeg,Artificial Intelligence Product Owner/PhD Candidate,,647 335 3528,,,,https://www.linkedin.com/in/fernando-barrios-engineering/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2a7c81da-10dd-40ff-9f45-011f1fed0290/resume,Toronto,Ontario,,Canada,linkedin,2022-08-26T01:25:27.334Z,2022-08-26T01:25:28.274Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/fernando-barrios-engineering/,"AI safety, Computer vision, Machine learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),"Part-time Mechanical Engineering, focus in AI","Education, Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Transportation",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",McMaster University,True,True,True,True +e349185f-621e-4dcf-b203-9c21de0e21ae,melodijin@gmail.com,Melodi,Jin,https://talenthub.vectorinstitute.ai/profiles/3002404/view_image/1622829675857.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-09-14T23:01:06.217Z,2022-09-14T23:01:06.813Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/melodi-jin-2b963a6a/,,,,,,,,,True,True,True,True +f1c419cd-89ef-42d6-97fc-201f322dcdf5,pwoode@rogers.com,Philip,Woode,https://talenthub.vectorinstitute.ai/profiles/2980749/view_image/WOO_5686.JPG,Master of Health Informatics Candidate at the University of Toronto,,289-231-4254,,,,https://www.linkedin.com/in/philip-woode-b27835146/,,True,False,,,,,,,2022-08-31T17:18:17.088Z,2022-09-08T15:49:19.440Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/philip-woode-b27835146/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Health Informatics,,"Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Scientist, Product/Project Manager",University of Toronto,True,True,True,True +3df2b6f5-36e7-4272-ad0f-4180f289dbd5,moaddeli.m@gmail.com,Maryam,Moadeli,https://talenthub.vectorinstitute.ai/profiles/2929529/view_image/1654027798946.jpeg,NLP Scientist ,,16476175762,,https://github.com/mmaryam2020,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3df2b6f5-36e7-4272-ad0f-4180f289dbd5/resume,Toronto,Ontario,,Canada,linkedin,2022-07-29T18:23:35.513Z,2022-08-09T13:55:34.960Z,False,False,Connected to Vector Research,No,Studying in/Graduated from a Recognized Master's Program,Dr. Tom Chau,Already Graduated,,Miss.,https://www.linkedin.com/in/maryammo,"Data science, Natural language processing, Transfer learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Biomedical Engineering,"Education, Health, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",University of Toronto,True,True,True,True +5d6583e8-cb73-4582-be03-8683514fc26f,jessica@modiface.com,Jessica,Tran,https://talenthub.vectorinstitute.ai/profiles/2891451/view_image/1655858236684.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-07-06T18:12:14.104Z,2022-07-06T18:12:15.192Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/jessica-tran-/,,,,,,,,,True,False,True,True +346a72af-ae3e-4d01-9aee-5631391e3d2c,kamil_1@me.com,kamil,Amin,https://talenthub.vectorinstitute.ai/profiles/3013422/view_image/DSC_0454.jpg,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/346a72af-ae3e-4d01-9aee-5631391e3d2c/resume,,,,,,2022-09-22T02:33:29.000Z,2022-09-22T02:33:29.038Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/kamil-amin/,"Anomaly detection, Data science, Deep learning",Graduate Degree (Masters),Entry Level (0-2 Years),MSc in Computer Science Specialization in Artificial Intelligence,"Construction or Infrastructure, Financial Services, Manufacturing , Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Internship, Co-op, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Product/Project Manager",York University,True,True,True,True +19f623d2-5ae5-4bf1-879a-0b61ff06aa16,preet2020@icloud.com,Preet,Panchal,https://talenthub.vectorinstitute.ai/profiles/2936751/view_image/1643815543099.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-08-03T17:56:02.079Z,2022-08-03T17:56:02.628Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/preet-panchal/,,,,,,,,,True,True,True,True +db7756be-1e5e-475b-8cc7-ad6cce2ac3df,m.n4seri@gmail.com,MohammadMahdi,Naseri,https://talenthub.vectorinstitute.ai/profiles/1807987/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-05-30T16:58:41.774Z,2022-07-28T19:17:28.396Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/m-naseri/,,,,,,,,,True,True,True,True +7fd60f0b-d622-4fa9-8c05-d951dc2603dd,jessicasaini21@icloud.com,Jessica,Saini,https://talenthub.vectorinstitute.ai/profiles/3011175/view_image/1562699786758.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-09-20T18:15:53.176Z,2022-09-20T18:15:53.813Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/jessica-saini/,,,,,,,,,True,True,True,True +37a766c3-f223-4428-87a3-c7538cd4adba,manan.devpurkar@queensu.ca,Manan,Devpurkar,https://talenthub.vectorinstitute.ai/profiles/2624536/view_image/IMG_20211217_134026308_HDR.jpg,Graduate Student Masters in Electrical and Computer Engineering,"Looking for Opportunities Full-time from December 2022. +(Expected Graduation in December 2022) +I am Manan Devpurkar, and I am a Master of Engineering student in the Electrical and Computer Engineering department at Queen's University. I am, particularly, interested in the field of Highly +Autonomous and Connected Vehicles. Following my interests, I am currently a member of the simulation team for SAE Autodrive Challenge II, representing Queen's University. +Moreover, I am inclined towards Applied Machine Learning and production-level AI deployment. From a long-term perspective for the industry, I would like to see myself in the field of AI Ethics & Law, Human-Robot Interaction Ethics, and Regulations.",+1 (437) 987-0546,,,,https://in.linkedin.com/in/manan-devpurkar,,True,False,https://canadaai.jobboard.io/api/v1/profiles/37a766c3-f223-4428-87a3-c7538cd4adba/resume,Kingston,Ontario,,Canada,,2021-12-22T19:55:56.987Z,2022-08-29T16:56:52.273Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,LinkedIn.com/in/manan-devpurkar,"Adversarial learning, AI safety, Computer vision, Data science, Deep learning, Law, ethics and policy, Machine learning, Reinforcement learning, Robotics, Self-supervised learning, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Engineering,"Education, Financial Services, Health, Professional Services (e.g Consulting), Retail, Technology (Information and Media), Technology (Product Development), Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",Queen's University,True,True,True,True 9e9d57eb-577c-4dc5-bbc1-142e4bbeaa93,brock.laschowski@mail.utoronto.ca,Brokoslaw,Laschowski,https://talenthub.vectorinstitute.ai/profiles/2980770/view_image/file-6.jpeg,Postdoctoral Research Fellow at the University of Toronto,"Dr. Brokoslaw Laschowski is a postdoctoral research fellow in the Temerty Faculty of Medicine at the University of Toronto working in the Intelligent Assistive Technology and Systems Laboratory. He also holds an affiliation with the Artificial Intelligence and Robotics in Rehabilitation Lab at the Toronto Rehabilitation Institute. As a research scientist, he specializes in the design and control of wearable robotic systems and technologies using a human-machine systems engineering approach. Applications of his research include rehabilitation robotics, neural engineering, human-computer interaction, and assistive technology like robotic prosthetic legs and exoskeletons. His clinical research focuses on assisting individuals with mobility impairments due to aging and/or physical disabilities such as stroke, cerebral palsy, osteoarthritis, Parkinson’s disease, amputation, and spinal cord injury. His research also includes the design and integration of sensory feedback systems (e.g., smart glasses and haptics) for persons with visual impairments. Overall, he develops technologies that interface with humans in order to improve health and performance. ",226-980-5229,,https://uwaterloo.ca/motion-research-group/brock-laschowski,,https://www.linkedin.com/in/brokoslaw-laschowski/,DrLaschowski,True,False,,Toronto,Ontario,,Canada,,2022-08-31T17:18:19.468Z,2022-09-02T14:57:31.665Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Alex Mihailidis,Already Graduated,,Dr.,https://www.linkedin.com/in/brokoslaw-laschowski/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Biomedical Engineering,"Education, Health, Software, Technology (Product Development)",Full Time,"Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",University of Toronto,True,True,True,True 630f3c82-9f9b-40d7-a280-e5f3f21b8188,maximilienleclei@gmail.com,Maximilien,Le Cleï,https://talenthub.vectorinstitute.ai/profiles/2944188/view_image/1658076424146.jpeg,Machine Learning Research Scientist/Engineer,,4389358915,,,,https://www.linkedin.com/in/maximilienlc/,,True,False,,Toronto,Ontario,,Canada,linkedin,2022-08-08T19:10:04.225Z,2022-08-08T19:10:04.828Z,False,False,Connected to Another AI Institute,Yes,Other/Unsure,,Already Graduated,Not affiliated,Mr.,https://www.linkedin.com/in/maximilienlc/,"Adversarial learning, Deep learning, Reinforcement learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science - Artificial Intelligence,"Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,False,True,True c2e98760-90f0-4530-a0e9-f56bd57d2a20,a.rasekh@rotman.utoronto.ca,Arman,Rasekh,https://talenthub.vectorinstitute.ai/profiles/2684716/view_image/1643989671318.jpg,,,,,,,https://www.linkedin.com/in/arman-rasekh/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c2e98760-90f0-4530-a0e9-f56bd57d2a20/resume,Toronto,Ontario,,Canada,,2022-02-09T17:47:28.172Z,2022-08-30T22:15:58.985Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/arman-rasekh/,,Graduate Degree (Masters),Mid-Level (3-5 Years),MBA,,"Full Time, Contract","Business Analyst/Business Intelligence Analyst , Product/Project Manager, Other ",University of Toronto,True,False,True,True @@ -976,7 +1003,6 @@ c96b4be6-1a5c-4838-8e1d-be17f53fe1f2,soroushtaslimi@yahoo.com,Soroush,Taslimi,ht d6c465f1-aceb-49d8-bb34-9468d428ecec,kishore.basu@gmail.com,Kishore,Basu,https://talenthub.vectorinstitute.ai/profiles/2969360/view_image/1620420720925.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-08-24T18:50:21.638Z,2022-08-24T18:50:22.207Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/kishore-basu-08a690181/,,,,,,,,,True,True,True,True fc91cf2f-55d2-4fa1-aa5e-377a72bd0f12,hongzhi2@ualberta.ca,Jack,Chen,https://talenthub.vectorinstitute.ai/profiles/2944310/view_image/1517250448179.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-08-08T20:36:05.800Z,2022-08-08T20:36:06.308Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,False,True,True 7278e86f-cc43-453a-85f4-de86f5e7f144,eileen.wt.hsieh@gmail.com,Wan-Ting,Hsieh,https://talenthub.vectorinstitute.ai/profiles/3026365/view_image/photo.jpg,Machine Learning Researcher,"Hello I’m Eileen, I have around five years machine learning experience in academia and industry, mainly focus on biosignal modeling and neuroimaging processing.",+886975665071,,,,https://www.linkedin.com/in/hsieh-wan-ting/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/7278e86f-cc43-453a-85f4-de86f5e7f144/resume,,,,Taiwan,linkedin,2022-09-30T14:25:20.508Z,2022-09-30T14:25:21.068Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,llinkedin,Ms.,https://www.linkedin.com/in/hsieh-wan-ting/,"Bioinformatics, Deep learning, Healthcare and/or medical imaging",Graduate Degree (Masters),Entry Level (0-2 Years),Electrical engineering,"Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Technology (Information and Media), Technology (Product Development)","Full Time, Contract","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,False,True,True -a429ea95-aecd-46fa-9bce-dd7f0f6ec59e,rongchen.guo1020@gmail.com,Rongchen,Guo,https://talenthub.vectorinstitute.ai/profiles/2501971/view_image/1619519086556.jpeg,Master Student in Computer Science, Actively seeking 2023 New Grad MLE/SDE opportunities.,613-229-6082,,,,https://www.linkedin.com/in/rongchen-guo/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a429ea95-aecd-46fa-9bce-dd7f0f6ec59e/resume,Ottawa,Ontario,,Canada,linkedin,2021-09-08T20:29:54.560Z,2022-10-03T15:09:34.202Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/rongchen-guo/,"Data science, Deep learning, Few-shot learning, Machine learning, Meta-learning, Natural language processing, Self-supervised learning, Time-series forecasting and modelling, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Computer Science - Concentration in Applied Artificial Intelligence,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Ottawa,True,False,True,True 6bcabe15-5eb1-4e86-92cc-293387ea332d,20vr1@queensu.ca,Vignesh,Rao,https://talenthub.vectorinstitute.ai/profiles/2624564/view_image/DP4_cropped.jpeg,"Artificial Intelligence, Software Engineering",I am currently pursuing an MSc in Computing (focus on Artificial Intelligence) in Queen's University at Kingston after having worked on building scalable microservices and database connectivity drivers for 4 years as a Software Engineer.,6475214259,,,,https://www.linkedin.com/in/vignesh294/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6bcabe15-5eb1-4e86-92cc-293387ea332d/resume,,Ontario,,Canada,,2021-12-22T19:56:13.013Z,2022-08-29T16:29:44.734Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/vignesh294/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Science in Computing,,"Full Time, Contract","Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Queen's University,True,True,True,True fafeaef4-8d66-4951-922b-fbbe1b01b36e,arash.ahmadian@mail.utoronto.ca,Arash,Ahmadian,https://talenthub.vectorinstitute.ai/profiles/3015977/view_image/1656469131913.jpeg,Machine Learning Software Engineering Inter @ Cerebras,"I'm generally interested in theoretical and practical aspects of deep learning, and hardware acceleration for machine learning. I've previously worked on deep learning optimizers and Neural Architecture Methods (NAS) for Computer Vision (CV). I've also worked on an opensource CAD tool (VTR) for FPGAs supported by Google. Additionally, I worked as an undergraduate researcher at Intel on generalizing and optimizing the modelling capabilities of routing resources for FPGA CAD.. I am currently working at Cerebras to improve training efficiency and hardware utilization of the CS-2 systems and am in charge of leading paper reading session at University of Toronto Machine Intelligence (UTMIST) club.",64706081239,,,,https://www.linkedin.com/in/arash-ahmadian/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/fafeaef4-8d66-4951-922b-fbbe1b01b36e/resume,Toronto,Ontario,,Canada,linkedin,2022-09-23T15:00:37.932Z,2022-09-23T15:00:38.492Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Vaughn Betz,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/arash-ahmadian/,"Deep learning, Reinforcement learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Engineering,"Software, Technology (Information and Media), Technology (Product Development), Telecommunications",Internship,"Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True 13e5b4ce-8db1-4dc0-ae08-e5793d569ceb,teerapat@cs.toronto.edu,Teerapat,Chaiwachirasak,https://talenthub.vectorinstitute.ai/profiles/2504506/view_image/Screen_Shot_2022-09-21_at_8.54.44_AM.png,Machine Learning Engineer,"- A graduate student in Applied Computing (ML) - looking for a position to apply cutting-edge machine learning techniques in a highly-efficient manner and gain expertise in specific fields. @@ -1021,78 +1047,69 @@ be1047cc-f82f-4b5f-9ccd-4968b0c7380a,pooria.mazaheri@gmail.com,Pooria,Mazaheri,h 17a2e342-c0e3-4b9b-9286-2e0a1c124409,rasa.hosseinzadeh@gmail.com,Rasa,Hosseinzadeh,https://talenthub.vectorinstitute.ai/profiles/2292669/view_image/picture.jpg,,,16475442205,,,,https://www.linkedin.com/in/rasa-hosseinzadeh-6204a6208/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/17a2e342-c0e3-4b9b-9286-2e0a1c124409/resume,Toronto,Ontario,,Canada,,2021-03-30T03:11:50.481Z,2021-04-29T15:28:50.850Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/rasa-hosseinzadeh-6204a6208/,"Bayesian methods, Data science, Statistical learning theory",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector",Full Time,"Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,False,True,True 0709b885-a475-429f-9c18-582cc199bb14,joeyqzhang@gmail.com,Joey,Zhang,https://talenthub.vectorinstitute.ai/profiles/2780427/view_image/1591068741931.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-04-22T22:11:18.334Z,2022-04-22T22:11:18.794Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/joeyzhang1/,,,,,,,,,True,True,True,True 8104d143-1424-430a-b77e-c2436adc2980,pzablots@gmail.com,Polina,Zablotskaia,https://talenthub.vectorinstitute.ai/profiles/2331928/view_image/1517075258188.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-04-25T17:53:00.051Z,2021-04-25T17:53:00.291Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/polina-zablotskaia-8a7644a2/,,,,,,,,,True,True,True,True -0d4d491c-17b8-4526-8305-fed4cd917f57,tina.keshavarzian@mail.utoronto.ca,Tina,Keshavarzian,https://talenthub.vectorinstitute.ai/profiles/1980347/view_image/tina_linkedin.jpeg,Graduate student ,"I’m a computational biology grad student at the University of Toronto. I‘m broadly interested in integrating genomic datasets (3D genome, epigenetics, sequencing) to understand cancer better. I like learning rigorous statistics and analyzing genomic datasets with diligence. I try to understand and communicate the biases and nuances in datasets and translate advances in machine learning to biology when they’re appropriate. ",8572658838,,,,,,True,False,,Toronto,Ontario,,Canada,,2020-09-17T16:54:33.731Z,2020-09-18T13:58:53.705Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,,Already Graduated,,Ms.,https://www.linkedin.com/in/tina-keshavarzian-48a475121/,,Graduate Degree (Masters),Entry Level (0-2 Years),Computational cancer genomics,"Health, Type of Work is More Important to me than Sector","Internship, Co-op, Contract, Capstone Project",,University of Toronto,True,True,True,True -1f35ae6f-6535-4f38-a2f5-835ce4622a18,minhduchoang301@gmail.com,Minh Duc,Hoang,https://talenthub.vectorinstitute.ai/profiles/2091014/view_image/0.jpeg,,,,,https://github.com/minhduchoang301,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/1f35ae6f-6535-4f38-a2f5-835ce4622a18/resume,,,,,linkedin,2020-10-07T19:06:03.439Z,2020-10-07T19:06:03.685Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,I am an undergraduate student at the University of Toronto seeking opportunities,Mr.,https://www.linkedin.com/in/minh-duc-hoang-437ab3160/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op",,University of Toronto,True,False,True,True -f0ed15ed-720f-46bf-9a58-719eb7be3d4a,khand5@mcmaster.ca,Danish,Khan,https://talenthub.vectorinstitute.ai/profiles/2458115/view_image/1598602218015.jpeg,Software Engineer,"An experienced Software Developer who can bring a diverse skill set and creative drive to software application development. Proficient in designing and formulating test automation frameworks, writing code in various languages, and feature development and implementation. Specialize in thinking outside the box to find unique solutions to difficult engineering problems. A quick learner, motivated self-starter with strong time management and multi-tasking skills. Had a solid reputation as a competent team member with good interpersonal skills. … ",6475694267,,http://github.com/khand5,,https://www.linkedin.com/in/danish-khan-mcmaster/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f0ed15ed-720f-46bf-9a58-719eb7be3d4a/resume,Toronto,Ontario,,Canada,linkedin,2021-08-04T02:57:54.286Z,2021-08-04T02:57:54.443Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,Undergraduate at McMaster University,Mr.,https://www.linkedin.com/in/danish-khan-mcmaster/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),"Bachelor of Engineering, Software Engineering",,"Full Time, Contract","Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",McMaster University,True,True,True,True -37c57f73-bf72-4341-b997-fde845a3b895,dwarakgovindp@gmail.com,Dwarak Govind,Parthiban,https://talenthub.vectorinstitute.ai/profiles/1551408/view_image/0.jpeg,CS Grad Student @ uOttawa | Looking for Software/ML/NLP Engineering Opportunities starting Fall 2020,,8193299446,,https://yottabytt.com/,,https://www.linkedin.com/in/dwarakgovindparthiban/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/37c57f73-bf72-4341-b997-fde845a3b895/resume,Ottawa,Ontario,,Canada,linkedin,2019-12-04T02:40:52.222Z,2020-09-11T17:44:35.819Z,False,False,Recognized Masters Program,Yes,Other/Unsure,,Already Graduated,"I am currently working towards my Master Thesis in the area of Deep Learning for NLP, under the supervision of Prof. Diana Inkpen and Prof. Yongyi Mao.",Mr.,https://www.linkedin.com/in/dwarakgovindparthiban/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Computer Science,Type of Work is More Important to me than Sector,"Full Time, Internship",,University of Ottawa,True,True,True,True -a2abe009-0339-4597-9c76-941975557297,kimia.hemmatirad@uwaterloo.ca,Kimia,Hemmatirad,https://talenthub.vectorinstitute.ai/profiles/1866405/view_image/IMG_20190425_093230.jpg,,,,,,,https://www.linkedin.com/in/kimiahemmatirad/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a2abe009-0339-4597-9c76-941975557297/resume,,,,,,2020-07-10T18:59:34.221Z,2020-12-10T19:11:57.880Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Miss.,https://www.linkedin.com/in/kimiahemmatirad/,,Graduate Degree (Masters),Mid-Level (3-5 Years),System Design Engineering (Biomedical Engineering),"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship",,University of Waterloo,True,True,True,True -61d85e11-721b-4253-8865-9fb4492a9229,aliforootani@gmail.com,Ali,Forootani,https://talenthub.vectorinstitute.ai/profiles/2221894/view_image/1516459624956.jpeg,Postdoctoral Researcher,,+353871740475,,,,https://www.linkedin.com/in/ali-forootani-22198a30/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/61d85e11-721b-4253-8865-9fb4492a9229/resume,,,,,linkedin,2021-02-08T00:53:16.695Z,2021-02-08T00:53:16.913Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,By doing online search and finding vector Institute.,Dr.,https://www.linkedin.com/in/ali-forootani-22198a30/,"Data science, Game theory, Gaussian processes, Machine learning, Online learning, Optimization, Reinforcement learning, Self-supervised learning, Statistical learning theory, Transfer learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Information Technology-Automatic Control,"Education, Manufacturing , Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development)","Full Time, Contract",,Other,True,True,True,True -1266eb8d-8caa-4378-be7f-476b4910660e,ernest.namdar@utoronto.ca,Ernest,Namdar,https://talenthub.vectorinstitute.ai/profiles/2205238/view_image/New_Project.jpg,Researcher,AI researcher in Medical Science with engineering background.,4169867856,,,,https://www.linkedin.com/in/ernest-namdar/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/1266eb8d-8caa-4378-be7f-476b4910660e/resume,Toronto,Ontario,,Canada,,2021-01-25T21:22:47.434Z,2021-02-07T20:37:56.749Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Dr. Farzad Khalvati,Other/Undetermined,,Mr.,https://www.linkedin.com/in/ernest-namdar/,"Computer vision, Data science, Deep learning, Machine learning, Natural language processing, Reinforcement learning",Graduate Degree (Masters),Senior Level (5+ Years),Medical Science,"Education, Financial Services, Health, Type of Work is More Important to me than Sector","Internship, Contract",,University of Toronto,True,True,True,True -82993eb0-f205-4357-8ad7-eadae1d1f380,adamo.young@mail.utoronto.ca,Adamo,Young,https://talenthub.vectorinstitute.ai/profiles/1550838/view_image/adamo_young_cropped.jpg,"PhD Student, Computer Science",I am a graduate student studying machine learning and its applications to mass spectrometry. I am working on improving methods for mass spectrometric analysis of small molecules.,,,,,https://ca.linkedin.com/in/adamo-young-b83548102,adamoyoung,True,False,https://canadaai.jobboard.io/api/v1/profiles/82993eb0-f205-4357-8ad7-eadae1d1f380/resume,Toronto,Ontario,,Canada,,2019-12-03T17:52:46.696Z,2020-10-15T19:27:45.560Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Bo Wang,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/adamo-young-b83548102/,"Computational biology, Deep learning, Representation learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science,"Health, Manufacturing , Technology (Information and Media), Technology (Product Development)","Internship, Co-op, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -67f591d4-5a69-49fd-abab-fcc8331ded78,fsrajan@gmail.com,Faisal,Rajan,https://talenthub.vectorinstitute.ai/profiles/2468424/view_image/professional_image.jpg,Helping people make informed decisions,,519-729-3467,,,,https://www.linkedin.com/in/faisalrajan/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/67f591d4-5a69-49fd-abab-fcc8331ded78/resume,Toronto,Ontario,,Canada,,2021-08-13T15:44:18.859Z,2021-08-13T23:29:22.914Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/faisalrajan,"Data science, Machine learning, Natural language processing",Graduate Degree (Masters),Senior Level (5+ Years),Masters in Management Analytics,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",Queen's University,True,True,True,True -8d7e09af-9cc5-4a97-9e69-3e267b9782e0,garzonmm@mcmaster.ca,maria,garzon,https://talenthub.vectorinstitute.ai/profiles/2344505/view_image/1568783215685.jpeg,,"University of Toronto extension graduate student for Data Science with a background in Biology and Philosophy from McMaster University. Passionate about using computational skills, statistical analysis, predictive modeling, data visualization, and project management to solve problems in biological and medical science. Curious, driven, and self-reliant. ",,,https://github.com/MariaGarzon,,https://www.linkedin.com/in/mariapgarzon/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8d7e09af-9cc5-4a97-9e69-3e267b9782e0/resume,,,,,,2021-05-04T18:12:20.540Z,2021-05-14T01:28:57.638Z,False,False,Not Affiliated with Vector,No,Other/Unsure,Ontario,Already Graduated,Not Associated,Ms.,https://www.linkedin.com/in/mariapgarzon/,"Bioinformatics, Data science, Deep learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Biology,"Health, Public Administration (i.e Gov't), Technology (Product Development)","Full Time, Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Toronto,True,True,True,True -6b975efd-61eb-442e-9174-2a3c58d8a282,soroosh.sorkhani@gmail.com,Soroosh,Sorkhani,https://talenthub.vectorinstitute.ai/profiles/2415654/view_image/1616452171610.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-06-28T20:47:08.483Z,2022-03-13T04:39:15.697Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/soroosh-sorkhani/,,,,,,,,,True,True,True,True -ab0881cb-9558-4d1a-bf85-fd1a3072b5fd,a42bansal@uwaterloo.ca,Aaishwarya,Bansal,https://talenthub.vectorinstitute.ai/profiles/1874221/view_image/0.jpeg,Data Science Intern,"My name is Aaishwarya Bansal and I am currently pursing my Masters in Computer Engineering Specializing in Machine learning and Artificial Intelligence. I am interning at Ubiquitous Health Technology labs as a data scientist. -",4379853689,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ab0881cb-9558-4d1a-bf85-fd1a3072b5fd/resume,Waterloo,Ontario,,Canada,linkedin,2020-07-16T03:13:29.057Z,2020-07-16T03:13:29.248Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/aaishwarya-bansal-436b46141/,,Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Computer Engineering with specialization in machine learning and artificial intelligence,"Financial Services, Health, Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship",,University of Waterloo,True,True,True,True -d9e3bb7c-3bbb-43cf-9b61-18001de117eb,ginayuan112@gmail.com,Yuan,Ji,https://talenthub.vectorinstitute.ai/profiles/1805278/view_image/YuanJi_Photo.jpg,,,6479367969,,,,https://www.linkedin.com/in/yuan-ji-mma,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d9e3bb7c-3bbb-43cf-9b61-18001de117eb/resume,Toronto,Ontario,,Canada,,2020-05-27T17:44:49.950Z,2020-11-03T00:00:05.996Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Miss.,https://www.linkedin.com/in/yuan-ji-6618b3112,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,,University of Toronto,True,True,True,True -554c236c-9619-495b-961a-57bce4ce152c,mohammadusman94@hotmail.ca,Usman,Naveed,https://talenthub.vectorinstitute.ai/profiles/1736404/view_image/0.jpeg,,"A strong fundamental understanding of enterprise technology, with a passion for AI and its applications. Looking to find a new challenge within the AI sector. ",6478718438,,https://usmannaveed.info/,,https://www.linkedin.com/in/usman-naveed-122351100,,True,False,https://canadaai.jobboard.io/api/v1/profiles/554c236c-9619-495b-961a-57bce4ce152c/resume,Toronto,Ontario,,Canada,linkedin,2020-05-04T18:27:15.936Z,2021-09-16T20:26:28.456Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Already Graduated,,Mr.,https://www.linkedin.com/in/usman-naveed-122351100,,Graduate Degree (Masters),Mid-Level (3-5 Years),Masters of Management in Artificial Intelligence,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector",Full Time,"Data Scientist, Machine Learning Engineer, Software Engineer",Queen's University,True,True,True,True -acd70941-b185-402b-a582-78006260543a,abutayoun.nayef@gmail.com,Nayef,Abou Tayoun,https://talenthub.vectorinstitute.ai/profiles/1810811/view_image/0.jpeg,,,4372373059,,https://github.com/Nayef-Abou-Tayoun,,https://ca.linkedin.com/in/nayefaboutayoun/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/acd70941-b185-402b-a582-78006260543a/resume,,,,,linkedin,2020-06-02T12:49:18.226Z,2020-10-15T20:51:28.284Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/nayefaboutayoun/,,Graduate Degree (Masters),Senior Level (5+ Years),master of management in artificial intelligence,"Construction or Infrastructure, Financial Services, Manufacturing , Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Capstone Project",,Queen's University,True,True,True,True -c774139f-4a0a-4660-8e81-e7ebc66da785,hanzeli1997@gmail.com,Litos (Hanze),Li,https://talenthub.vectorinstitute.ai/profiles/1730447/view_image/0.jpeg,Machine Learning Researcher,I am a machine learning researcher interested in fields including Conversational Recommender System and NLP. Currently looking for full-time opportunity in Machine Learning Engineer/Software Engineer/Data Science. ,6478185420,,https://github.com/litosly,,https://www.linkedin.com/in/litos-hanze-li/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c774139f-4a0a-4660-8e81-e7ebc66da785/resume,Toronto,Ontario,,Canada,linkedin,2020-04-28T21:42:21.304Z,2020-04-28T21:42:21.504Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Scott Sanner,Already Graduated,,Mr.,https://www.linkedin.com/in/litos-hanze-li/,,Undergraduate Degree (Bachelors),,Robotics Engineer,"Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Contract",,University of Toronto,True,False,True,True -55af3d13-312e-46a5-b8ef-69ea7ffcdf8e,danup1997@gmail.com,Anup Anand,Deshmukh,https://talenthub.vectorinstitute.ai/profiles/2641843/view_image/1565807859994.jpeg,Recent Graduate from University of Waterloo,"I am an MMath in Computer Science graduate from the University of Waterloo where I worked on Natural Language Processing. In Fall 2021, I defended my thesis titled, ""Unsupervised Syntactic Structure Induction in Natural Language Processing"". I am also interested in Recommender Systems. -I am on the job market and actively looking for roles in Machine Learning. -",5195057534,,https://anup-deshmukh.github.io,,https://www.linkedin.com/in/anup-anand-deshmukh-263872a7/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/55af3d13-312e-46a5-b8ef-69ea7ffcdf8e/resume,Montreal,Quebec,,Canada,linkedin,2022-01-08T19:52:52.041Z,2022-01-08T19:52:52.450Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/anup-anand-deshmukh-263872a7/,"Data science, Natural language processing, Recommender systems",Graduate Degree (Masters),Entry Level (0-2 Years),MMath in CS (Thesis),,Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Waterloo,True,True,True,True -f57a618a-9e2d-44a3-9c14-fdefe95fb965,satvickacharya16@gmail.com,Satvick,Acharya,https://talenthub.vectorinstitute.ai/profiles/2650367/view_image/1633034919983.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-01-15T13:46:58.221Z,2022-01-15T13:46:58.658Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/satvick-acharya-uoft-engsci/,,,,,,,,,True,False,True,True -95184284-3750-473d-ab60-a77561457649,ayushee.parida@gmail.com,Ayushee,Parida,https://talenthub.vectorinstitute.ai/profiles/1932192/view_image/ayusheeparida.png,,,,,,,https://www.linkedin.com/in/ayusheep/,,True,False,,Toronto,Ontario,,Canada,,2020-08-13T19:40:45.937Z,2020-09-24T00:50:23.996Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/ayusheep/,,Graduate Degree (Masters),Entry Level (0-2 Years),"Biology (BScH), MHI (C)","Education, Health, Public Administration (i.e Gov't), Technology (Information and Media), Type of Work is More Important to me than Sector","Internship, Contract",,University of Toronto,True,False,True,True -b527b0b8-e564-4057-b29f-8995084d76c3,devin.datt@queensu.ca,Devin,Datt,https://talenthub.vectorinstitute.ai/profiles/1944076/view_image/self_suit_head_bw2.jpg,AI Architect,,4164575420,,https://www.dattanalytics.com/,,https://www.linkedin.com/in/devindatt/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b527b0b8-e564-4057-b29f-8995084d76c3/resume,,,,,,2020-08-20T16:44:35.433Z,2020-08-20T18:35:38.405Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/devindatt/,,Graduate Degree (Masters),Senior Level (5+ Years),AI Management,"Professional Services (e.g Consulting), Software, Technology (Product Development)","Full Time, Internship, Co-op, Contract, Capstone Project",,Queen's University,True,True,True,True -69eb5f3d-41bd-4750-9256-b7f4dcfa2c7b,andrew@cs.toronto.edu,Yuan-Hong,Liao,https://talenthub.vectorinstitute.ai/profiles/1810196/view_image/profile.jpg,Ph.D. student,"I am a Ph.D. student at the University of Toronto, supervised by Prof. Sanja Fidler. Previously, I worked at Vector Institute and USC as a visiting student in 2018 and 2017 respectively. -I graduated with B.S. from the Electrical Engineering Department in National Tsing Hua University, supervised by Prof. Min Sun.",,,https://andrewliao11.github.io,,https://www.linkedin.com/in/andrewliao11/,andrewliao11,True,False,https://canadaai.jobboard.io/api/v1/profiles/69eb5f3d-41bd-4750-9256-b7f4dcfa2c7b/resume,Toronto,Ontario,,Canada,,2020-06-01T23:43:06.619Z,2020-06-02T15:09:25.440Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Sanja Fidler,Other/Undetermined,,Mr.,https://www.linkedin.com/in/andrewliao11/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Ph.D.-direct,"Software, Type of Work is More Important to me than Sector",Internship,,University of Toronto,True,False,True,True -cfeb684f-379b-47b3-b2be-85ff8d7e16bf,farzana.heidari@gmail.com,Farzaneh,Heidari,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,True,,,,,,linkedin,2020-08-26T18:54:34.135Z,2020-08-29T22:17:25.249Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/farzaneh-heidari-32919653/,,,,,,,,,True,True,True,True -007a1f2a-2311-4269-bc76-c26bc461559d,anupgp@gmail.com,Anup,Pillai,https://talenthub.vectorinstitute.ai/profiles/1874059/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-07-15T23:12:43.998Z,2020-07-15T23:12:44.429Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/anupgpillai/,,,,,,,,,True,True,True,True -51c6039b-89ee-45e4-9884-171833c85eff,bmahesh464@gmail.com,budavarapu,mahesh,https://talenthub.vectorinstitute.ai/profiles/1945638/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-08-21T16:48:14.477Z,2020-08-21T16:48:14.669Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/budavarapu-mahesh-4869a144/,,,,,,,,,True,True,True,True -410fa262-580a-42fd-9d77-14438cc9fb2e,r22khali@uwaterloo.ca,Rayyan,Khalid,https://talenthub.vectorinstitute.ai/profiles/1966775/view_image/image.png,Data Scientist | MDSAI Graduate Student at the University of Waterloo,More than 3 years of experience in building data-driven solutions and softwares for challenging problems that resulted in business growth and advancement. Passionate to learn and build algorithms to solve complex tasks and use cutting-edge technologies.,+1 416-788-8546,,https://github.com/rayyan17,,https://www.linkedin.com/in/rayyan-khalid-0b3631172/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/410fa262-580a-42fd-9d77-14438cc9fb2e/resume,Waterloo,Ontario,,Canada,,2020-09-04T14:57:48.809Z,2021-02-24T14:01:24.410Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/rayyan-khalid-0b3631172/,,Graduate Degree (Masters),Mid-Level (3-5 Years),MMath Data Science and Artificial Intelligence (co-op),"Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Co-op,,University of Waterloo,True,True,True,True -3b8f365f-dd61-490d-a0c1-68ff08e91a25,agolubeva@perimeterinstitute.ca,Anna,Golubeva,https://talenthub.vectorinstitute.ai/profiles/2124668/view_image/atkitp.jpg,researcher with training in Theoretical Physics and a strong experience in Machine Learning," I am a PhD student at Perimeter Institute for Theoretical Physics and the University of Waterloo. My advisor is Roger Melko. -My research is on the intersection between theoretical quantum many-body physics and machine learning. I apply machine learning as a computational tool to solve problems in quantum physics, and I use approaches from theoretical physics to understand deep learning. My goal is to develop a theoretical foundation of deep learning which would in turn allow to expand its applicability in physics. I am particularly interested in approaches involving information theory, statistical learning theory, and statistical physics. Several of my recent projects on the machine-learning side focus on adversarial attacks and model robustness. -Previously, I completed the Perimeter Scholars International master's program (2017), a MSc in Theoretical Physics with focus on computational approaches to quantum many-body systems (2016), and a BSc in Biophysics (2014) at the Goethe University in Frankfurt, Germany.",,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3b8f365f-dd61-490d-a0c1-68ff08e91a25/resume,Waterloo,Ontario,,Canada,,2020-11-06T17:45:29.706Z,2020-11-06T17:45:29.787Z,False,False,Connected to Vector Research,Yes,Post Graduate Affiliate,Roger G Melko,Already Graduated,,Miss.,N/A,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Theoretical Physics,Type of Work is More Important to me than Sector,"Internship, Contract",,University of Waterloo,True,False,True,True -f1e14833-eed0-4178-85b4-226e4979275d,brlambert7818@gmail.com,Brian,Lambert,https://talenthub.vectorinstitute.ai/profiles/1969476/view_image/0.jpeg,,,,,https://github.com/brlambert7818,,https://www.linkedin.com/in/brian-lambert-298727112/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f1e14833-eed0-4178-85b4-226e4979275d/resume,,,,,linkedin,2020-09-07T18:51:15.465Z,2020-09-13T12:42:16.552Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,Recent graduate from MSc Cognitive Science from the University of Edinburgh,Mr.,https://www.linkedin.com/in/brian-lambert-298727112/,,Graduate Degree (Masters),Entry Level (0-2 Years),Cognitive Science,"Health, Professional Services (e.g Consulting), Technology (Information and Media)","Full Time, Internship, Contract",,Other,True,False,True,True -6b301155-83e3-49ab-bd1d-fa6b3bca2f5b,adam.hall@robotics.utias.utoronto.ca,Adam,Hall,https://talenthub.vectorinstitute.ai/profiles/1956488/view_image/adam_resized-1.jpg,Ph.D. Student in Aerospace/Robotics,"U of T Aerospace/robotics Ph.D. student currently exploring the applications of AI and machine learning to robot control. Previous experience working as a systems and controls engineer on cutting-edge space robotics projects with the United States National Aeronautics and Space Administration (NASA), The United States Defense Advanced Research Projects Agency (DARPA), the Canadian Space Agency (CSA).",4158194864,,,,https://www.linkedin.com/in/adamweshall/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6b301155-83e3-49ab-bd1d-fa6b3bca2f5b/resume,Toronto,Ontario,,Canada,,2020-08-28T15:00:53.192Z,2020-09-11T16:55:10.160Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,Co-supervised by Prof. Angela Schoellig and Prof. Jonathan Kelly,Other/Undetermined,,Mr.,https://www.linkedin.com/in/adamweshall/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Aerospace Engineering with concentration in Robotics,"Financial Services, Manufacturing , Professional Services (e.g Consulting), Software, Technology (Product Development), Type of Work is More Important to me than Sector",Internship,,University of Toronto,True,False,True,True -420a732e-4699-4851-81a2-b46bf694cc65,mohamad_fheravi@yahoo.com,Mohammad,Heravi,https://talenthub.vectorinstitute.ai/profiles/1959378/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-08-31T04:16:18.762Z,2020-08-31T04:16:18.943Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/m-heravi/,,,,,,,,,True,True,True,True -b0d784c0-6e24-412e-88f0-5281a2fcd0dd,yenmeeng@gmail.com,Yen,Chan,https://talenthub.vectorinstitute.ai/profiles/2511229/view_image/1599689188080.jpeg,MHI candidate 2023,,5193177288,,,,https://www.linkedin.com/in/yen-chan,,True,False,,Toronto,Ontario,,Canada,linkedin,2021-09-16T03:29:15.625Z,2021-10-11T04:30:47.543Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/yen-chan/,"Bioinformatics, Computational biology, Healthcare and/or medical imaging, Statistical learning theory",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),HBSc in Genetics,"Education, Health, Professional Services (e.g Consulting), Software, Technology (Product Development), Transportation","Full Time, Internship, Co-op, Contract, Capstone Project","Data Analyst, Machine Learning Researcher/Scientist , Product/Project Manager",University of Toronto,True,True,True,True -e04e5fa6-9134-481b-9132-250fcf1e5a3d,oluwaseun.cardoso@mail.utoronto.ca,Oluwaseun,Cardoso,https://talenthub.vectorinstitute.ai/profiles/1722431/view_image/0.jpeg,,,6478358012,,,,https://www.linkedin.com/in/chefq/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e04e5fa6-9134-481b-9132-250fcf1e5a3d/resume,Mississauga,Ontario,,Canada,linkedin,2020-04-18T16:12:29.179Z,2020-04-22T18:01:57.208Z,False,False,Not Affiliated with Vector,No,Other/Unsure,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/chefq/,,Undergraduate Degree (Bachelors),,Computer Science and Statistics,"Software, Type of Work is More Important to me than Sector","Full Time, Internship",,University of Toronto,True,False,True,True -c16715d1-fc0f-4329-bb18-3c0f7ec4d173,henilparikh113@gmail.com,Henil,Parikh,https://talenthub.vectorinstitute.ai/profiles/2124610/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-11-06T16:21:19.446Z,2020-11-06T16:21:19.667Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/henil113/,,,,,,,,,True,True,True,True -28154c72-db49-453c-971e-b955a5cf9ca0,a.singh@queensu.ca,Anuj,Singh,https://talenthub.vectorinstitute.ai/profiles/2185228/view_image/1DD143A8-4B1A-405B-92A3-3792BF470EC1.jpeg,Project Manager|Business Analysis|Business Consulting| Process Improvement,,,,,,https://www.linkedin.com/in/anujsingh9/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/28154c72-db49-453c-971e-b955a5cf9ca0/resume,,,,,,2021-01-10T19:20:33.900Z,2021-01-12T21:10:25.775Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/anujsingh9/,"Computer vision, Interpretability, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Senior Level (5+ Years),Management in Artificial Intelligence (MMAI),"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Contract, Capstone Project",,Queen's University,True,True,True,True -ec2b4164-a00e-48ba-86ba-a75446f61a04,ge.sayuri@gmail.com,Angela Sayuri,Delci Martini,https://talenthub.vectorinstitute.ai/profiles/2209939/view_image/1589970820953.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-01-29T09:54:50.864Z,2021-01-29T09:54:51.067Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/angela-martini/,,,,,,,,,True,True,True,True -fb813164-deb1-42e8-b70a-ffebeb57a020,sahar.soltanieh@gmail.com,sahar,soltanieh,https://talenthub.vectorinstitute.ai/profiles/2142551/view_image/1539877687435.jpeg,,,3433649229,,,,https://www.linkedin.com/in/sahar-soltanieh/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/fb813164-deb1-42e8-b70a-ffebeb57a020/resume,Kingston,Ontario,,Canada,linkedin,2020-11-25T19:55:15.751Z,2020-11-25T19:55:15.989Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Miss.,https://www.linkedin.com/in/sahar-soltanieh/,,Graduate Degree (Masters),Entry Level (0-2 Years),artificial intelligence,"Education, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Internship, Co-op",,Queen's University,True,True,True,True -ba383213-e974-43ec-92d1-8f30f9e50685,mlnasell@uwaterloo.ca,Michael,Nasello,https://talenthub.vectorinstitute.ai/profiles/2357617/view_image/Headshot.jpg,Machine Learning Practitioner,,2263460958,,http://michaelnasello.ca,,https://www.linkedin.com/in/michael-nasello/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ba383213-e974-43ec-92d1-8f30f9e50685/resume,,,,,,2021-05-14T15:16:31.366Z,2021-08-20T16:26:53.070Z,False,False,Internal Staff,Yes,Other/Unsure,ON,Spring/Summer 2023 (April - July),Applied Machine Learning Intern,Mr.,https://www.linkedin.com/in/michael-nasello/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Mechatronics Engineering,"Financial Services, Software, Technology (Information and Media), Technology (Product Development)","Internship, Co-op","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Waterloo,True,False,True,True -4b154229-647d-4aa0-b411-28a9438b405e,hansenclever@yahoo.com.br,Hansenclever,Bassani,https://talenthub.vectorinstitute.ai/profiles/2197276/view_image/1517283854576.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-01-19T16:35:37.285Z,2021-01-19T16:35:37.541Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/hansbassani/,,,,,,,,,True,True,True,True -ae8a1523-9430-4d5e-89f4-a88dacd899e5,tresor.koffi3@gmail.com,Tresor,Koffi,https://talenthub.vectorinstitute.ai/profiles/2207592/view_image/1528868341640.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-01-27T15:34:41.738Z,2021-01-27T15:34:42.000Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/tresor-koffi-16658662/,,,,,,,,,True,True,True,True -9cfe86d3-6883-41fe-a502-8c7185d8ee5a,21sab19@queensu.ca,Satish,Beladiya,https://talenthub.vectorinstitute.ai/profiles/2718492/view_image/Image.jpg,"Graduating in Computer Engineering by August. With the ambition of changing career, developed expertise in AI, Machine Learning, Deep Learning, Data Science and Business Analytics.","Prospective AI, ML, or Data scientist, who is data enthusiastic, analytical thinker, and has a strong foundation in mathematics and engineering. Looking forward to a full-time position in the area of Machine Learning, Artificial Intelligence, Deep Learning, or Data Analysis. Excellent academic and professional performance, ability to learn easily and master quickly all concepts, methods, and processes. If given the opportunity will prove myself to be an asset to the organization.",6134832952,,,,https://www.linkedin.com/in/satishbeladiya/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9cfe86d3-6883-41fe-a502-8c7185d8ee5a/resume,Kingston,Ontario,,Canada,,2022-03-07T20:05:23.328Z,2022-06-23T23:02:08.422Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/satishbeladiya/,"Computer vision, Data science, Deep learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Engineering,Type of Work is More Important to me than Sector,"Full Time, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Queen's University,True,True,True,True -4f7a4353-2dde-4452-8489-8983b5a8457d,dounialakhmiri@gmail.com,Dounia,Lakhmiri,https://talenthub.vectorinstitute.ai/profiles/2872980/view_image/1652277528790.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-06-24T17:51:27.815Z,2022-06-24T22:26:08.583Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/dounia-lakhmiri/?trk=public_profile_browsemap_profile-result-card_result-card_full-click&originalSubdomain=ca,,,,,,,,,True,True,True,True -1e71e24c-58c0-4746-acaf-d5a5c1348997,hassanpour71@gmail.com,Mohammad,Hassanpour,https://talenthub.vectorinstitute.ai/profiles/2382860/view_image/1517856418561.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-06-02T19:18:02.706Z,2021-06-02T19:18:02.901Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/hpour/,"Data science, Deep learning, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),MSc in Computer Science with Specialization in AI,"Financial Services, Health, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Capstone Project","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",York University,True,False,True,True -5c2dc06a-6d68-41c3-b2ce-12cb55e97507,beitollahi.mahdi@gmail.com,Mahdi,Beitollahi,https://talenthub.vectorinstitute.ai/profiles/2110747/view_image/IMddG_20210508_095320_765.jpg,Machine Learning Scientist,"Machine learning scientist and engineer with +4 years of industry and academic experience. -Delivered computer vision and bio-medical AI products to two companies, RCBTR and Senstile that improved their prediction accuracy by 15 percent. -Experienced researcher with a focus on the theoretical analysis and implementation of distributed, privacy-preserving machine learning with three research awards and three publications. -Passionate about real-world challenges, and looking for any opportunity to find, understand, and fundamentally solve complex problems.",+1 4373458334,,http://mahdibeit.github.io,,https://www.linkedin.com/in/mahdi-beitollahi-5b7886229/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5c2dc06a-6d68-41c3-b2ce-12cb55e97507/resume,Kingston,Ontario,,Canada,,2020-10-23T13:26:47.701Z,2022-06-15T02:13:36.934Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/mahdi-beitollahi-5b7886229/,"Anomaly detection, Computer vision, Data science, Deep learning, Interpretability, Machine learning, Online learning, Optimization, Privacy, anonymity, and/or security, Recommender systems, Reinforcement learning, Representation learning, Self-supervised learning, Time-series forecasting and modelling, Transfer learning, Unsupervised learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Mid-Level (3-5 Years),Electrical Engineering and Artificial Intelligence,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Queen's University,True,True,True,True -4f7466c5-612f-43aa-98db-f62b4775d6df,ngo.william.96@gmail.com,William,Ngo,https://talenthub.vectorinstitute.ai/profiles/1741784/view_image/IMG_0501.jpg,MScAC Computer Science Student,"I am interested in finding a research-based internship focusing on Computer Vision or recommender systems. -I would like to further develop my skills writing production-ready code with strong software engineering principles.",,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4f7466c5-612f-43aa-98db-f62b4775d6df/resume,,,,,linkedin,2020-05-09T20:53:43.357Z,2021-10-14T22:47:39.888Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/william-ngo-0bab84130/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Science in Applied Computing (Computer Science),Type of Work is More Important to me than Sector,"Internship, Co-op",,University of Toronto,True,True,True,True -8555ef25-3060-4dbf-9374-68a1485ef779,salmanghaffar91@gmail.com,Salman,Ghaffar,https://talenthub.vectorinstitute.ai/profiles/2969918/view_image/PassportPicture_Salman.jpeg,Lead IoT Operations Analyst @ HSB Canada - Munich Re,,6475281509,,,,https://www.linkedin.com/in/salmanghaffar15/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8555ef25-3060-4dbf-9374-68a1485ef779/resume,Toronto,Ontario,,Canada,linkedin,2022-08-25T05:31:41.787Z,2022-09-20T23:24:35.856Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/salmanghaffar15/,"Machine learning, Optimization",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Engineering (MEng) with AI Concentration,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Ryerson University,True,True,True,True -bad2600b-34be-45ae-92f0-8c491f231e66,shikhar.arora@rotman.utoronto.ca,Shikhar,Arora,https://talenthub.vectorinstitute.ai/profiles/2960348/view_image/1664977909375.jpeg,Seasoned financial analyst seeking challenging role as a data scientist ,,6476424448,,,,https://www.linkedin.com/in/arorashikhar/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/bad2600b-34be-45ae-92f0-8c491f231e66/resume,Toronto,Ontario,,Canada,,2022-08-18T20:11:37.525Z,2022-08-24T19:57:51.765Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/arorashikhar/,"Data science, Deep learning, Machine learning, Optimization, Recommender systems",Graduate Degree (Masters),Mid-Level (3-5 Years),Master's in Management Analytics,"Financial Services, Professional Services (e.g Consulting), Retail, Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",University of Toronto,True,True,True,True -ed503c2c-df60-4ab4-aa7c-705342132cac,gary.tom@mail.mcgill.ca,Gary,Tom,https://talenthub.vectorinstitute.ai/profiles/3025312/view_image/headshot.jpeg,PhD student in AI for materials and drug discovery,"Graduate student working at the intersection of computer science and physics and chemistry. I am interested in research projects applying artificial intelligence (AI) and machine learning (ML) to complex and novel data structure to solve relevant problems. - -In my current position, I am involved in projects relating to exploring new materials using generative models, such as genetic algorithms, variational autoencoders, and reinforcement language models. I also study the prediction and classification of molecules using probabilistic models and graph-based models. However, I am interested and open to learning new ML techniques and applying them to novel complex problems outside of chemistry and physics.",5148258203,,http://www.gkwt.xyz,,https://www.linkedin.com/in/garyktom/,mistergtom,True,False,https://canadaai.jobboard.io/api/v1/profiles/ed503c2c-df60-4ab4-aa7c-705342132cac/resume,Toronto,Ontario,,Canada,linkedin,2022-09-29T20:37:55.121Z,2022-11-24T04:57:32.444Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Student or Postdoc of a Vector Faculty Member,Alan Aspuru-Guzik,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/garyktom/,"Bayesian methods, Bioinformatics, Data science, Deep learning, Gaussian processes, Generative modeling, Graphical models, Machine learning, Meta-learning, Physics, Representation learning, Self-supervised learning, Transfer learning, Unsupervised learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Chemistry,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Type of Work is More Important to me than Sector","Internship, Co-op","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,False,True,True -94ddbe64-4d77-4d4b-b7a2-66190c6eeba2,philipp.eibl@mail.utoronto.ca,Philipp,Eibl,https://talenthub.vectorinstitute.ai/profiles/3094255/view_image/1632509605270.jpeg,Data Scientist,,2502586655,,http://philippnoah.github.io,,https://www.linkedin.com/in/philippeibl/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/94ddbe64-4d77-4d4b-b7a2-66190c6eeba2/resume,Toronto,Ontario,,Canada,linkedin,2022-10-26T20:47:55.159Z,2023-03-03T12:43:27.357Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Frank Rudzicz,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/philippeibl/,"Deep learning, Natural language processing, Representation learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science,,"Full Time, Internship","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Toronto,True,False,True,True -54a226f8-5a8d-4b0d-bf55-e56e38f0d13e,sarah.folias@hotmail.com,Sarah,Folias,https://talenthub.vectorinstitute.ai/profiles/2839108/view_image/1646237980047.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-06-02T15:18:57.670Z,2022-10-26T19:20:22.881Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),Vector Scholarship Nominee,Ms.,https://www.linkedin.com/in/sarah-marie-h-bb587718b/?originalSubdomain=ca,"Graphical models, Healthcare and/or medical imaging, Optimization",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Health Informatics,"Health, Professional Services (e.g Consulting)","Full Time, Internship","Data Analyst, Product/Project Manager, Other ",University of Toronto,True,True,True,True -4a34ccba-3c7e-4fea-90d6-da2b380c3287,khairnardevashish@gmail.com,Devashish Pradeep,Khairnar,https://talenthub.vectorinstitute.ai/profiles/2994396/view_image/profile_pic.jpeg,Graduate Student at University of Toronto (MSc in Applied Computing),"I am a graduate student at the Department of Computer Science pursuing a Master of Science in Applied Computing (MScAC) at the University of Toronto. My research interest lies in the applications of machine learning, deep learning, and NLP, especially in healthcare, fintech, and HCI. Currently, I'm open to part-time or internship opportunities preferably in the mentioned research domains. - -Previously, I worked for DeepTek Medical Imaging as a Data Scientist Assc., where I explored and researched the application of different image segmentation techniques to segment pathologies from medical radiographs. Here I got the opportunity to build a model for foreign bodies segmentation and detection for FDA approval using TensorFlow. Before working at DeepTek, I also worked at ACI Worldwide as a member of the R&D Development team where I built microservices to reduce operational costs and support business functions by integrating multiple payment gateways with existing systems. - -I completed my undergraduate studies in Computer Science at the Pune Institute of Computer Technology (PICT) in 2019. I was also a vice-president at PICT ACM India Students Chapter in 2018. I am proficient in C++, Python, C#, and Java programming languages along with experience in SQL and MongoDB database systems and cutting-edge technologies like ML and DL and their applications. I continually seek to improve myself and have proven the same over the past years through my projects, skills, and experiences. - -Growing up as a sci-fi movie aficionado, I was continuously intrigued by the advanced technology portrayed in them. However, with diverse professional and academic experience under my belt, this time around, I am able to comprehend the interplay of various technologies in AI, Machine Learning, and Software Industry that make these technological evolutions a possibility. - -Feel free to connect and check my portfolio here: https://khairnardevashish.netlify.app/",+1 6476182631,,https://khairnardevashish.netlify.app/,,https://www.linkedin.com/in/devashishkhairnar/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4a34ccba-3c7e-4fea-90d6-da2b380c3287/resume,Toronto,Ontario,,Canada,,2022-09-09T12:59:55.718Z,2022-09-22T04:46:03.211Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/devashishkhairnar/?originalSubdomain=in,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),MSc in Applied Computing,,"Internship, Capstone Project","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,False,True,True -13e5b4ce-8db1-4dc0-ae08-e5793d569ceb,teerapat@cs.toronto.edu,Teerapat,Chaiwachirasak,https://talenthub.vectorinstitute.ai/profiles/2504506/view_image/Screen_Shot_2022-09-21_at_8.54.44_AM.png,Machine Learning Engineer,"- A graduate student in Applied Computing (ML) - looking for a position to apply cutting-edge machine learning techniques in a highly-efficient manner and gain expertise in specific fields. -- Three years of experience working on large-scale hotel recommendation systems on an online travel booking platform with millions of travel bookers and accommodation partners. -• Worked on hyper-parameter optimization, recommender systems, machine learning in a production environment, and natural language processing",6478612312,,,,https://www.linkedin.com/in/teerapat-chaiwachirasak-876373134/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/13e5b4ce-8db1-4dc0-ae08-e5793d569ceb/resume,Toronto,Ontario,,Canada,,2021-09-10T17:42:57.494Z,2022-09-21T13:00:07.781Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/teerapat-chaiwachirasak-876373134/,"Data science, Natural language processing, Recommender systems",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Science in Applied Computing,"Financial Services, Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +3ec86675-3dd0-4415-ade3-5173aa56f7ea,dulanga.weerakoon.lk@gmail.com,Dulanga,Weerakoon,https://talenthub.vectorinstitute.ai/profiles/2248318/view_image/1516921499306.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-02-27T08:07:10.768Z,2021-02-27T08:07:11.003Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/dulangaweerakoon/,,,,,,,,,True,False,True,True +3c45e095-c1f1-492a-8ae1-dd8e0fffbf99,m.hamghalam@gmail.com,Mohammad,Hamghalam,https://talenthub.vectorinstitute.ai/profiles/2466578/view_image/1625367112996.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-08-12T01:21:10.422Z,2021-08-12T01:21:10.615Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/hamghalam/,,,,,,,,,True,True,True,True +36b9eadc-7d7f-4be5-b0e8-f2c510e79d4d,dancareaga.f@gmail.com,Daniel,Careaga,https://talenthub.vectorinstitute.ai/profiles/2280922/view_image/1517545956274.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-03-21T21:08:35.856Z,2021-03-21T21:08:36.026Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/daniel-careaga/,,,,,,,,,True,True,True,True +d4b88c29-5160-4178-96f3-f2975c5f7d6d,sadia-nasir@hotmail.com,Sadia,Nasir,https://talenthub.vectorinstitute.ai/profiles/2635277/view_image/1625763228622.jpeg,"Master of Management Analytics, Rotman School of Management, 2021-22",Passionate about analytics and look forward to develop innovative data-driven solutions to help organizations solve business problems. Effective communicator with advanced quantitative skills to leverage analytics in business. Eager to develop creative solutions and work on a diverse range of projects. ,,,,,https://www.linkedin.com/in/sadia-nasir/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d4b88c29-5160-4178-96f3-f2975c5f7d6d/resume,Toronto,Ontario,,Canada,linkedin,2022-01-03T23:46:11.449Z,2022-01-14T17:58:07.604Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/sadia-nasir/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,"Education, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",University of Toronto,True,True,True,True +26c28e4e-176f-45cd-bf9b-26dcd7b43eea,changanjie1@gmail.com,Kun,Yuan,https://talenthub.vectorinstitute.ai/profiles/1672850/view_image/0.jpeg,Master of Computer Science,"I am currently a Master student in the University of Ottawa. The main focus of my research is about deep learning in health care, surgical intervention and complex action recognition. I am fimilar with the pytorch framework and willing to learn more interesting and fundamental knowledge of AI in the future.",8194523805,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/26c28e4e-176f-45cd-bf9b-26dcd7b43eea/resume,Ottawa,Ontario,,Canada,linkedin,2020-03-12T05:06:11.491Z,2020-04-16T00:21:37.377Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/kun-yuan-b2425219b/,,Graduate Degree (Masters),,Computer Science,"Education, Health, Professional Services (e.g Consulting), Technology (Information and Media)","Internship, Co-op",,University of Ottawa,True,False,True,True +754e8aba-1147-4a74-a30c-24b4012e8f39,akazmi.public@gmail.com,Arslan,Kazmi,https://talenthub.vectorinstitute.ai/profiles/1524088/view_image/0.jpeg,MSc Computer Science (Collaborative Specialisation for AI) graduate,"Arslan is a motivated Machine Learning student with experience in Speech Processing. He is most recently a Master of Computer Science student in the Collaborative Specialisation for Artifical Intelligence at the University of Guelph, where he works on Conditional Text to Image synthesis using Conditional Generative Adversarial Networks.",(+1) 365-336-8065 | (+92) 336-400-4626,,,,https://www.linkedin.com/in/arslan-kazmi-001/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/754e8aba-1147-4a74-a30c-24b4012e8f39/resume,,,,,linkedin,2019-11-16T16:50:53.151Z,2020-09-24T13:17:08.792Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/arslan-kazmi-001/,"Adversarial learning, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Science (Computer Science) (Collaborative Specialisation in AI),"Education, Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Telecommunications","Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Guelph,True,True,True,True +89b799f5-699a-4215-b254-470297802b72,qianyujie66@gmail.com,Yujie,Qian,https://talenthub.vectorinstitute.ai/profiles/2515985/view_image/025BC3C3-F0B8-4D7B-9191-6290D1270CF2.jpeg,,,9023183813,,,,https://www.linkedin.com/in/yujieqian/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/89b799f5-699a-4215-b254-470297802b72/resume,Toronto,Ontario,,Canada,,2021-09-19T20:18:05.150Z,2021-09-19T20:29:37.330Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/yujie-wang-mit/,"Data science, Privacy, anonymity, and/or security, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Business Analytics,"Health, Manufacturing , Professional Services (e.g Consulting), Retail, Technology (Product Development)","Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Analyst, Product/Project Manager",York University,True,True,True,True +c8d94fd1-3a08-409e-a03e-27bcd8164f56,binwspacerace.wang@mail.utoronto.ca,Bin,Wang,https://talenthub.vectorinstitute.ai/profiles/2801410/view_image/1580240997398.jpeg,Python PHP Javascript,I'm a junior at the University of Toronto and I'm looking forward to finding a job as a software engineer. I am passionate about this and the desire to learn. I have experience in front-end and back-end development. Specialized in data structures and algorithms.,4373466362,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c8d94fd1-3a08-409e-a03e-27bcd8164f56/resume,Toronto,Ontario,,Canada,linkedin,2022-05-08T06:03:23.002Z,2022-05-11T15:36:05.863Z,False,False,Not Affiliated with Vector,No,Other/Unsure,Ontario,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/bin-wang-0a37b292/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Stat & Math,"Health, Software, Technology (Information and Media)",Internship,Software Engineer,University of Toronto,True,True,True,True +7f5b0e91-6f65-4b69-b135-5a4e8b927438,prakharrathi25@gmail.com,Prakhar,Rathi,https://talenthub.vectorinstitute.ai/profiles/2780687/view_image/1587402693729.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-04-23T06:24:26.606Z,2022-04-23T06:24:27.129Z,False,False,Vector Scholarship Recipient,Yes,,,,,,https://www.linkedin.com/in/prakhar-rathi/,,,,,,,,,True,True,True,True +19b2f4f6-8257-4d99-a8db-0f756c9154bb,talal.rahim@gmail.com,Talal,Rahim,https://talenthub.vectorinstitute.ai/profiles/2806500/view_image/1557086441468.jpeg,Economist and Machine Learning Scientist,,6472449893,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/19b2f4f6-8257-4d99-a8db-0f756c9154bb/resume,Toronto,Ontario,,Canada,linkedin,2022-05-11T11:15:58.930Z,2022-05-11T11:15:59.529Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,I'm looking to engage with Vector Institute,Dr.,https://www.linkedin.com/in/talal-rahim-62873810/,"Data science, Deep learning, Machine learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Economics,"Education, Financial Services, Health, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation",Full Time,"Data Scientist, Machine Learning Researcher/Scientist ",Other,True,True,True,True +f83393b2-b793-4092-b4e8-f916f7caeac0,ryanmarten2000@gmail.com,Ryan,Marten,https://talenthub.vectorinstitute.ai/profiles/2356356/view_image/1564739644424.jpeg,Applied Machine Learning Intern at Vector Institute,,781 492 7289,,,,https://www.linkedin.com/in/ryan-marten/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f83393b2-b793-4092-b4e8-f916f7caeac0/resume,Toronto,Ontario,,Canada,linkedin,2021-05-13T14:26:57.198Z,2021-05-14T19:44:47.519Z,False,False,Internal Staff,Yes,Other/Unsure,,Already Graduated,Vector Staff (intern),Mr.,https://www.linkedin.com/in/ryan-marten/,"Computer vision, Deep learning, Natural language processing",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Computer Science,"Education, Health, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Toronto,True,True,True,True +9ccda96f-e16f-43b3-b122-8ec99b9efae3,nightstorm1990@gmail.com,Nilotpal,Sinha,https://talenthub.vectorinstitute.ai/profiles/2790926/view_image/1517003765590.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-04-30T03:28:43.918Z,2022-04-30T03:28:44.364Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/nilotpal-sinha-382b2357/,,,,,,,,,True,True,True,True +9af94cf5-fabe-4007-8648-e4afd9962c88,vladimir.vasquez.19@gmail.com,Vladimir,Vásquez,https://talenthub.vectorinstitute.ai/profiles/2762263/view_image/1625771539546.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-04-10T02:25:48.770Z,2022-04-10T02:25:49.180Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/vladimir-v%C3%A1squez-1267b2b9/,,,,,,,,,True,False,True,True +78becadf-5be6-4f81-bca9-9e5abcb758da,wazom@hotmail.com,Aarón,Morelos,https://talenthub.vectorinstitute.ai/profiles/2758541/view_image/1648623748548.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-04-07T06:39:03.374Z,2022-04-07T06:39:03.998Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/aaron-mg/,,,,,,,,,True,True,True,True +7ff38348-eca3-42b7-b3b1-4eceec761b38,vi.slourenco@hotmail.com,Vinícius,Lourenço,https://talenthub.vectorinstitute.ai/profiles/2504176/view_image/1588714597658.jpeg,Data Scientiost,"With the personal mission of ""Assisting humanity to reach superior futures through tech"" , i focus on the Data area to bring this to reality. +Currently on a Master of Data Science at Tsinghua University. +Ex-Data Specialist at Microsoft (4.5 years, 3 Years FTE , 1.5 years Intern) and Product Owner for data projects at Accenture/Avanade (1 year FTE) , now helping Omdena's NGO and searching for opportunities to jump from Data Engineer to Data Science",+5511984479259,,,,https://www.linkedin.com/in/vilourenco/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/7ff38348-eca3-42b7-b3b1-4eceec761b38/resume,,,,,linkedin,2021-09-10T13:35:37.632Z,2021-09-10T13:35:37.829Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Fall 2022,"Currently studying at the best university in Asia(GPA 3.8 / 4.0) , but aiming for a migration to Canada, open to move to a university from Vector's list and also to do internships in Canada to establish in the local market. (IELTS Overall 7)",Mr.,https://www.linkedin.com/in/vilourenco/,"Computer vision, Data science, Deep learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master in Data Science,Type of Work is More Important to me than Sector,Internship,"Data Scientist, Machine Learning Engineer",Other,True,True,True,True +34be76da-f2b7-421e-9d55-085d2f2fcc46,juliaguo1998@gmail.com,Julia,Guo,https://talenthub.vectorinstitute.ai/profiles/2504478/view_image/image0.jpg,Clinical Research Project Assistant at SickKids,,6479800599,,,,https://www.linkedin.com/in/juliayguo/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/34be76da-f2b7-421e-9d55-085d2f2fcc46/resume,Oakville,Ontario,,Canada,,2021-09-10T17:42:52.987Z,2021-09-23T02:34:31.787Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Winter 2023 (December 2022 - March 2023),,Miss.,https://www.linkedin.com/in/juliayguo/,"Bioinformatics, Data science, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Health Sciences/Health Informatics,"Education, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Internship, Co-op, Contract","Data Analyst, Data Scientist, Product/Project Manager",University of Toronto,True,False,True,True +a5a254d0-4b08-4a49-a5d4-947f4057ec14,aaryapatel98@gmail.com,Aarya,Patel,https://talenthub.vectorinstitute.ai/profiles/2412912/view_image/1551289698798.jpeg,Data Scientist,,8810500058,,,,https://www.linkedin.com/in/aaryapatel007/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a5a254d0-4b08-4a49-a5d4-947f4057ec14/resume,,,,,linkedin,2021-06-26T07:44:32.828Z,2021-06-26T07:44:32.995Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,I'm a prospective master's student,Mr.,https://www.linkedin.com/in/aaryapatel007/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science,"Health, Manufacturing , Technology (Product Development), Transportation","Full Time, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True +923cca5a-7f84-4ce1-a4c0-50f8a0492faa,nehad.hirmiz@gmail.com,Nehad,Hirmiz,https://talenthub.vectorinstitute.ai/profiles/2352552/view_image/1559671298203.jpeg,Postdoctoral Research Fellow in Medical Biophysics and Medical Imaging,,2892422590,,,,https://www.linkedin.com/in/nehad-hirmiz-7363ab3b/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/923cca5a-7f84-4ce1-a4c0-50f8a0492faa/resume,Toronto,Ontario,,Canada,linkedin,2021-05-11T02:37:10.968Z,2021-05-14T03:52:25.785Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,Not Applicable,Already Graduated,,Dr.,https://www.linkedin.com/in/nehad-hirmiz-7363ab3b/,"Computer vision, Deep learning, Healthcare and/or medical imaging",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Biomedical Engineering,Health,Full Time,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",Western University,True,True,True,True +e94fd2de-89a9-4599-b0a6-23dfa42b5a40,afeng26@uwo.ca,Anna,Feng,https://talenthub.vectorinstitute.ai/profiles/2504492/view_image/IMG_7320.jpg,Master's of Data Analytics Candidate at Western University ,Hello! I am a Master of data analytics student seeking coop and full-time opportunities in data analytics and machine learning for Summer 2022. ,,,,,https://www.linkedin.com/in/afeng1/,,True,False,,,,,,,2021-09-10T17:42:54.141Z,2021-10-25T21:54:36.081Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Miss.,http://linkedin.com/in/afeng1,"Data science, Machine learning, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Analytics,"Financial Services, Health, Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",Western University,True,True,True,True +30c4627a-d33e-41b2-991a-301fce2908f3,mahindru.shreya@gmail.com,Shreya,Mahindru,https://talenthub.vectorinstitute.ai/profiles/1965937/view_image/0.jpeg,,,+1-438 9213136,,https://www.thinkrconsulting.org/,,https://www.linkedin.com/in/shreya-mahindru/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/30c4627a-d33e-41b2-991a-301fce2908f3/resume,,,,Canada,linkedin,2020-09-04T00:48:58.631Z,2020-09-04T00:48:58.846Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Spring/Summer 2021,,Miss.,https://www.linkedin.com/in/shreya-mahindru/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master in Business Administration,"Financial Services, Professional Services (e.g Consulting), Retail, Technology (Product Development)",Full Time,,Other,True,True,True,True +d79b4dab-0944-417c-bae5-91767b4e63d8,ast707964902@qq.com,Jiayi,Luo,https://talenthub.vectorinstitute.ai/profiles/1972983/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-09-10T14:38:12.323Z,2021-02-04T13:51:40.000Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/jiayi-luo-246514b8/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management in Artificial Interllgence,"Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,,York University,True,False,True,True +bafd7a1c-de64-4920-9753-11ba0b84d83c,leila.elmoujtahid@gmail.com,Laila,El Moujtahid,https://talenthub.vectorinstitute.ai/profiles/1970468/view_image/0.jpeg,Solution Manager ( Product development ) ,,15146320052,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/bafd7a1c-de64-4920-9753-11ba0b84d83c/resume,Montreal,Quebec,,Canada,linkedin,2020-09-08T15:06:27.656Z,2020-09-08T15:06:27.861Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,QC,Already Graduated,,Ms.,https://www.linkedin.com/in/laila-el-moujtahid-87793273/,,Graduate Degree (Masters),Senior Level (5+ Years),"Bachelor : Computer engineering , Master : Aerospace ( Digital product development)","Software, Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,,Other,True,True,True,True +45aaa291-988e-4881-8b9b-aeae108f3c97,frishta.habib@cn.ca,Frishta,"Habib, CPC",https://talenthub.vectorinstitute.ai/profiles/1963776/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-09-02T14:40:39.072Z,2020-09-02T14:40:39.243Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/frishta-habib-2750755b/,,,,,,,,,True,False,True,True +acdd00f3-1bcb-491c-877f-391e7677c365,louschlessinger96@gmail.com,Lou,Schlessinger,https://talenthub.vectorinstitute.ai/profiles/1960752/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-08-31T21:16:42.197Z,2020-08-31T21:16:42.400Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/louschlessinger/,,,,,,,,,True,False,True,True +52b9898e-c155-4aa2-8d9d-e21459fc6716,gavinlt1986@gmail.com,Ting(Gavin),Lei,https://talenthub.vectorinstitute.ai/profiles/1977372/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-09-15T05:20:38.833Z,2020-09-15T05:20:39.026Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/ting-gavin-lei-51053123/,,,,,,,,,True,True,True,True +f5375f98-14d7-4329-9bae-666d11a9de87,rabina03@hotmail.com,Rabina,Khan,https://talenthub.vectorinstitute.ai/profiles/2127542/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-11-10T01:55:25.467Z,2020-11-10T01:55:25.677Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/rabina-khan-647392142/,,,,,,,,,True,True,True,True +0e8ce437-b9ff-4a0a-b860-57044fe10b99,nathankwalters@gmail.com,Nathan,Walters,https://talenthub.vectorinstitute.ai/profiles/2518846/view_image/1624417658057.jpeg,𝗗𝗶𝗿𝗲𝗰𝘁𝗼𝗿 𝗼𝗳 𝗖𝗥𝗠 @CityofEdmonton | Digital Transformation / Innovation Partner • Business Intelligence / AI Strategist • Senior CX / Marketing Leader • Strategic Thinker,"Nathan is the Director of Customer Relationship Management (CRM), a $20 million revenue generating section with approximately 250 staff, within the City of Edmonton's Community and Recreation Facilities branch. With a wide-reaching mandate, Nathan manages 5 lines of business with strategic outcomes for digital transformation, analytics, customer experience (CX), as well as business performance planning and improvement. +Digital Transformation Achievements: +➤ Overseeing delivery and leading operation of an ERP / CRM enterprise system; leveraged by 30 lines of business across 37 locations, facilitating $70M in annual revenue and monetizing hundreds of thousands of customer interactions through the e-commerce platform MoveLearnPlay.edmonton.ca. +➤ Planning and securing executive leadership approval and funding for enterprise-level automation, AI, CX and UX transformation. +➤ Leading development of the business case and implementation approach to rollout self-service payment kiosks across 19 recreation and attraction facilities. ",780-604-4021,,https://nathankwalters.com/,,https://www.linkedin.com/in/nathanwalters/,nathankwalters,True,False,https://canadaai.jobboard.io/api/v1/profiles/0e8ce437-b9ff-4a0a-b860-57044fe10b99/resume,Edmonton,Alberta,,Canada,linkedin,2021-09-21T20:16:10.041Z,2021-09-23T12:39:19.888Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/nathanwalters/,,Graduate Degree (Masters),Senior Level (5+ Years),"MBA (2010), MMAI (expected graduation 2022)","Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,Other ,Queen's University,True,True,True,True +7886dc4d-1222-4a42-af9e-44b590b5998d,peter.wu.doomsday@gmail.com,Mengqi (Peter),Wu,https://talenthub.vectorinstitute.ai/profiles/2512589/view_image/1571424523919.jpeg,,"I'm currently a MDSAI student at University of Waterloo. I am interested in Data Science/Machine Learning/Software Engineering related roles. I have done 4 internships in various areas such as software development, DevOps with cloud computing services, infrastructure management with Kubernetes and Docker, and research projects using machine learning and deep learning techniques.",6479840129,,,,https://www.linkedin.com/in/mengqi-peter-wu-920065137/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/7886dc4d-1222-4a42-af9e-44b590b5998d/resume,,,,Canada,linkedin,2021-09-16T20:19:45.956Z,2021-09-16T20:19:46.125Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/mengqi-peter-wu-920065137/,"Machine learning, Natural language processing, Recommender systems",Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Data Science and AI,"Software, Technology (Information and Media)","Internship, Co-op","Data Engineer, Machine Learning Engineer, Software Engineer",University of Waterloo,True,True,True,True +2e7c2ccf-5e15-4af0-9503-bd31e1f38400,sherminehg@gmail.com,Shermineh,"Ghasemi, PhD Candidate",https://talenthub.vectorinstitute.ai/profiles/2357633/view_image/1606929416683.jpeg,AI senior associate,"I am a third-year Ph.D. student, working on advanced AI and XAI algorithms. I have hands-on experience in developing and implementing AI-based solutions. I am actively looking for an internship.",,,,,,,True,False,,Toronto,Ontario,,Canada,linkedin,2021-05-14T15:27:21.590Z,2021-05-14T15:27:21.864Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Spring/Summer 2023,,Ms.,https://www.linkedin.com/in/sherminehgh/,"Computer vision, Deep learning, Machine learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science,Technology (Product Development),Internship,Machine Learning Researcher/Scientist ,Ryerson University,True,True,True,True +c33482af-3742-4586-8f4c-ecfc76ed18ea,kbhyr077@uottawa.ca,Kiran Kumar Ashish,Bhyravabhottla,https://talenthub.vectorinstitute.ai/profiles/2521201/view_image/ashish_pic.JPG,Graduate Student/Experienced Computer Vision Engineer,"AI Researcher with 2 years of experience in Computer Vision space. +Adept at research and crafting logic-code design which can be put +right away into production. Instrumental in integrating various +domains to build an end-to-end platform. +Website: https://ashish-aiml.github.io/Ashish/ +Google Scholar: https://scholar.google.com/citations?hl=en&user=ZKIuX3kAAAAJ",613 263 8340,,https://ashish-aiml.github.io/Ashish/,,https://www.linkedin.com/in/b-kiran-kumar-ashish/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c33482af-3742-4586-8f4c-ecfc76ed18ea/resume,Ottawa,Ontario,,Canada,,2021-09-23T13:32:40.005Z,2021-09-23T13:32:40.036Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/b-kiran-kumar-ashish/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Engineering in Electrical and Computer Engineering Concentration in Applied Artificial Intelligence,"Health, Software, Technology (Product Development)","Full Time, Internship, Co-op, Capstone Project","Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",University of Ottawa,True,True,True,True +71e57ecd-4ec9-4f9c-b88b-9392f40b0a72,raminnakhli@gmail.com,Ramin,Ebrahim Nakhli,https://talenthub.vectorinstitute.ai/profiles/2504467/view_image/f1ede59f-cacd-4b64-815c-b8f61fe5ef4e.jpg,Deep Learning Researcher,Self-motivated deep learning researcher :),7787769504,,,,https://www.linkedin.com/in/raminnakhli/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/71e57ecd-4ec9-4f9c-b88b-9392f40b0a72/resume,Vancouver,British Columbia,,Canada,,2021-09-10T17:42:49.510Z,2021-09-23T15:59:52.145Z,False,False,Connected to Vector Research,Yes,Other/Unsure,,Spring/Summer 2024 (April - July),I'm a PhD student at the UBC,Mr.,https://www.linkedin.com/in/raminnakhli/,"Computer vision, Deep learning, Self-supervised learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Biomedical Engineering,Type of Work is More Important to me than Sector,"Internship, Co-op",Machine Learning Researcher/Scientist ,Other,True,True,True,True +0b726c01-7eac-40b8-a751-a335149d7115,fernandesjohan221@gmail.com,Johan,Fernandes,https://talenthub.vectorinstitute.ai/profiles/2481171/view_image/a1.png,,"Research Assistant at NextCon Lab, University of Ottawa. +Currently working on tabular information extraction from document images with our industry partner, Lytica Inc. My work involves developing an automated Deep Learning-based solution to extract text from document images. ",5199814788,,,,https://www.linkedin.com/in/johan-fernandes/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0b726c01-7eac-40b8-a751-a335149d7115/resume,Ottawa,Ontario,,Canada,,2021-08-24T21:14:48.402Z,2021-09-20T01:19:19.045Z,False,False,Recognized Masters Program,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/johan-fernandes/,"Computer vision, Machine learning, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Computer Science concentration in Applied Artificial Intelligence,"Education, Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Ottawa,True,True,True,True +b72bd5da-2c0e-471c-8a22-0280d0232202,sjulazade@gmail.com,Sanaz,Joulazadeh,https://talenthub.vectorinstitute.ai/profiles/2478408/view_image/1617979905114.jpeg,,,,,,,https://www.linkedin.com/in/sanaz-joulazadeh-478bb5172/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b72bd5da-2c0e-471c-8a22-0280d0232202/resume,,,,,linkedin,2021-08-23T15:51:07.769Z,2021-08-23T15:51:08.066Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,I would like to study in a thesis-based Master program under supervision of Vector Institute affiliated professors.,Ms.,https://www.linkedin.com/in/sanaz-joulazadeh-478bb5172/,"Computer vision, Data science, Deep learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Electrical Engineering,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,False,True,True +4b6d121d-6f28-4c10-9302-f68b474dce78,jgeng033@uottawa.ca,Jiahe,Geng,https://talenthub.vectorinstitute.ai/profiles/2481151/view_image/IMG_6630.JPG,Computer Science Master Student,,6132625944,,,,https://www.linkedin.com/in/jiahe-geng-033,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4b6d121d-6f28-4c10-9302-f68b474dce78/resume,Ottawa,Ontario,,Canada,,2021-08-24T21:14:44.703Z,2021-10-17T07:43:38.691Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/jiahe-geng-033,"Computer vision, Data science, Deep learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Computer Science Concentration in Applied Artificial Intelligence,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Software Engineer",University of Ottawa,True,True,True,True +24c48330-1c04-4ceb-94bb-6559113b7702,mekarras@uwaterloo.ca,Michael,Karras,https://talenthub.vectorinstitute.ai/profiles/2493614/view_image/12711048_10209006199536157_6133441112815411625_o.jpg,,,,,,,https://www.linkedin.com/in/michael-karras-1a4b8a62/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/24c48330-1c04-4ceb-94bb-6559113b7702/resume,,,,,,2021-09-01T20:47:48.620Z,2021-09-21T17:38:52.605Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/michael-karras-1a4b8a62/,"Computer vision, Deep learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,Type of Work is More Important to me than Sector,"Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Waterloo,True,True,True,True +45b5d6c0-3ac2-448b-9d74-0fdcb468e2fa,sacardoz@uwaterloo.ca,Shea,Cardozo,https://talenthub.vectorinstitute.ai/profiles/2493608/view_image/1573052255518.png,MSc. Applied Computing (MScAC) at the University of Toronto,,4165803011,,,,https://www.linkedin.com/in/shea-cardozo/,,True,False,,Toronto,Ontario,,Canada,,2021-09-01T20:47:43.473Z,2021-09-03T20:54:24.518Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/shea-cardozo/,"Computer vision, Deep learning, Generative modeling",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Master of Science in Applied Computing (MScAC),Type of Work is More Important to me than Sector,"Internship, Capstone Project","Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,False,True,True +cc238bcb-5cc4-412c-a116-bf5beaad3feb,m.sadegh.saberian@gmail.com,Mohammadsadegh,Saberian,https://talenthub.vectorinstitute.ai/profiles/2247590/view_image/1603513202710.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-02-26T16:11:08.243Z,2021-02-26T16:11:08.585Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/mohammadsadegh-saberian/,,,,,,,,,True,False,True,True +ea19b399-fac6-47aa-af19-3da3556259c3,dmytro.ihnatov@gmail.com,Dmytro,Ihnatov,https://talenthub.vectorinstitute.ai/profiles/2246993/view_image/1609865032513.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-02-26T07:02:13.371Z,2021-02-26T07:02:13.571Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/dmytro-ihnatov/,,,,,,,,,True,True,True,True +520737f9-22dd-496a-b2cf-63241c4cabaa,riddhi.dasani1994@gmail.com,Riddhi,Dasani,https://talenthub.vectorinstitute.ai/profiles/1883146/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-07-22T01:47:41.076Z,2020-07-22T01:47:41.309Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/riddhi-dasani/,,,,,,,,,True,True,True,True +ec9cf7ef-4f1c-449f-8ad5-1fec6c216bf2,akinola.olowookere@gmail.com,Akinola,Olowookere,https://talenthub.vectorinstitute.ai/profiles/2674709/view_image/1631648173292.jpeg,Research Assistant and Data Scientist,"I'm a PhD candidate in the department of physics at the University of Alberta. My PhD research focused on studying satellite interaction with the space environment and applying machine learning to space measurement diagnostics. I have developed an algorithm and trained different machine learning models used to infer plasma parameters from spacecraft measurements. Prior to the start of my PhD program, I worked at a banking industry and telecommunication company where I applied my expertise in SQL, and Python, combined with experience in data visualization to analyze data and collaborated with business and sales teams to improve the company’s revenue. +I'm a critical thinker and love working with data.",5879262065,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ec9cf7ef-4f1c-449f-8ad5-1fec6c216bf2/resume,Edmonton,Alberta,,Canada,linkedin,2022-02-02T18:03:15.324Z,2022-02-02T18:03:15.825Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Fall 2022 (August - November),A friend told me about Vector,Mr.,https://www.linkedin.com/in/akinola-olowookere/,"Data science, Deep learning, Natural language processing",Postgraduate Degree (PhD),Mid-Level (3-5 Years),PHD in Space Physics,"Construction or Infrastructure, Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Full Time, Internship, Contract","Data Analyst, Data Scientist, Machine Learning Researcher/Scientist ",Other,True,True,True,True +57313832-d0d9-45b4-87b2-74f13e0f29b2,faheemasaleem@yahoo.ca,Fahim,Salim,https://talenthub.vectorinstitute.ai/profiles/2126942/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-11-09T13:22:12.333Z,2020-11-09T13:22:12.527Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/fahim-salim-005b687/,,,,,,,,,True,False,True,True +597b6f14-4a6d-4639-85d1-2cdea02a044a,sikka.punar@gmail.com,Punardeep,Sikka,https://talenthub.vectorinstitute.ai/profiles/1588458/view_image/20200107_122827.jpg,"Experienced in conducting and managing R&D projects, currently pursuing Masters in Computer Science","After obtaining my Bachelor's degree in Operations, Research & Industrial Engineering from Cornell, I developed automated trading algorithms, and managed technical operations for a hedge fund for over 5 years. I also managed numerous other businesses and projects, each with a strong technical or research component, accumulating over 10 years of work experience, before joining Lakehead University to pursue a Master's in Computer Science.",8184723925,,,,https://www.linkedin.com/in/punarsikka,,True,False,https://canadaai.jobboard.io/api/v1/profiles/597b6f14-4a6d-4639-85d1-2cdea02a044a/resume,Ottawa,Ontario,,Canada,linkedin,2020-01-07T16:21:10.623Z,2021-02-04T04:05:03.255Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/punarsikka,"Data science, Deep learning, Machine learning, Natural language processing, Time-series forecasting and modelling",Graduate Degree (Masters),Senior Level (5+ Years),Masters in Computer Science,"Financial Services, Manufacturing , Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Contract","Data Architect, Data Scientist, Machine Learning Researcher/Scientist , Product/Project Manager",Lakehead University,True,False,True,True +88253729-b6b4-4be2-8d18-3077364811af,maneetzaveri5@gmail.com,Manit,Zaveri,https://talenthub.vectorinstitute.ai/profiles/2076959/view_image/0.jpeg,Machine Learning Researcher ,"I am a quick learner, out-going type of person with numerous ideas to work around given problems. I am an ideation guy and I would like to apply my data-science skills to enhance the growth of an organization. ",6478640499,,,,https://www.linkedin.com/in/manitzaveri/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/88253729-b6b4-4be2-8d18-3077364811af/resume,Waterloo,Ontario,,Canada,linkedin,2020-09-23T23:06:58.099Z,2021-03-15T18:49:43.663Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/manitzaveri/,,Graduate Degree (Masters),Entry Level (0-2 Years),MASc,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract",,University of Waterloo,True,True,True,True +3b9e140b-0ade-457d-ba66-d65450bf41da,meghan.nagpal@gmail.com,Meghan,Nagpal,https://talenthub.vectorinstitute.ai/profiles/2338450/view_image/1573623506558.jpeg,,,6474048620,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3b9e140b-0ade-457d-ba66-d65450bf41da/resume,,,,,linkedin,2021-04-29T15:52:59.436Z,2021-04-29T15:52:59.689Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Already Graduated,,Ms.,https://www.linkedin.com/in/meghannagpal/,"Bioinformatics, Healthcare and/or medical imaging, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),"IHPME, Health Informatics","Health, Professional Services (e.g Consulting), Technology (Product Development)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",University of Toronto,True,True,True,True +5c3fc798-ff06-4416-bc96-bee4e0b19e62,ziyiwu@cs.toronto.edu,Ziyi,Wu,https://talenthub.vectorinstitute.ai/profiles/2546872/view_image/wzy_square.jpg,,UofT CS PhD student studying in computer vision and robotics,,,https://wuziyi616.github.io/,,https://www.linkedin.com/in/ziyi-wu-6840a81ba/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5c3fc798-ff06-4416-bc96-bee4e0b19e62/resume,Toronto,Ontario,,Canada,,2021-10-14T16:59:58.505Z,2021-10-14T16:59:58.556Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Animesh Garg,Other/Undetermined,,Mr.,https://www.linkedin.com/in/ziyi-wu-6840a81ba/,"Computer vision, Robotics, Unsupervised learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),PhD in CS,"Health, Manufacturing , Technology (Information and Media), Technology (Product Development)","Internship, Co-op","Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +c84f1606-7785-4852-b928-bd891504b7bb,dan.nayeem.dn@gmail.com,Danish,Nayeem,https://talenthub.vectorinstitute.ai/profiles/2624749/view_image/1638125142887.jpeg,Cybersecurity | Software Developer | Data Scientist,,2899963747,,,,https://www.linkedin.com/in/danish-nayeem,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c84f1606-7785-4852-b928-bd891504b7bb/resume,Oshawa,Ontario,,Canada,linkedin,2021-12-22T23:23:03.879Z,2021-12-22T23:23:04.326Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/danish-nayeem,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of IT Security,,"Internship, Co-op","Data Scientist, Machine Learning Engineer, Software Engineer",OntarioTech University,True,True,True,True +d388e0ba-2eef-40ed-92b0-dc987577ffc6,nima.mashayekhi@gmail.com,Nima,Mashayekhi,https://talenthub.vectorinstitute.ai/profiles/2520815/view_image/1615503381042.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-09-23T08:51:48.009Z,2021-09-23T08:51:48.452Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/nima-mashayekhi/,,,,,,,,,True,True,True,True +4cad6b79-daa8-4b6d-908b-d85315ac2c1e,arash.gholami@alum.utoronto.ca,Arash,Gholami,https://talenthub.vectorinstitute.ai/profiles/2123483/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-11-05T16:29:32.275Z,2020-11-05T16:29:32.493Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/arashgholami/,,,,,,,,,True,True,True,True +9a38b4d9-0dd0-4b86-8ff9-d3a715971d92,farazkhadivpour@gmail.com,Faraz,Khadivpour,https://talenthub.vectorinstitute.ai/profiles/2375598/view_image/1568001568863.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-05-27T22:20:54.440Z,2021-05-27T22:20:54.673Z,False,False,Connected to Another AI Institute,Yes,,,,,,https://www.linkedin.com/in/farazkhadivpour/,,,,,,,,,True,False,True,True +02162900-e6df-4476-a11a-0489cda15ff8,krishr.somu@gmail.com,Rohit,Krishnan S,https://talenthub.vectorinstitute.ai/profiles/2570534/view_image/1626798945873.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-11-03T16:51:13.982Z,2021-11-03T16:51:14.254Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/rohit-krishnan-s/,,,,,,,,,True,False,True,True 1858b875-177a-4cde-8226-635bb9cdae51,seungjaeryanlee@gmail.com,Seungjae,Lee,https://talenthub.vectorinstitute.ai/profiles/1899533/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-08-01T02:46:17.636Z,2020-08-01T02:46:17.912Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/seungjaeryanlee/,,,,,,,,,True,True,True,True 664a46f6-8b90-407f-9dfa-54fb3dfa7624,15rlt@queensu.ca,Rachel,Theriault,https://talenthub.vectorinstitute.ai/profiles/1832447/view_image/IMG_0513.jpeg,MSc Student,"My name is Rachel Theriault and I am entering the MSc program at Queen's University under the supervision of Dr. Randy E. Ellis in the AI field of study. I recently graduated from the biomedical computing undergraduate program at Queen's University. I completed my undergraduate thesis under the supervision of Dr. Randy. E. Ellis gaining experience in presentations and publications. I currently hold a Vector Scholarship in AI, and held an USRA after my third year of my undergraduate degree. My current research is focused on detection of breast cancer from mass spectrometry images utilizing machine learning clustering techniques differing from the typical univariate and multivariate methods used on such data. I am excited to learn new things, and enjoy tackling new fields of research. I value teams I have the opportunity to work with and discussions to build new ideas. I hope to continue to be a part of innovative research in the field of AI.",,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/664a46f6-8b90-407f-9dfa-54fb3dfa7624/resume,Kingston,Ontario,,Canada,,2020-06-16T19:24:45.698Z,2020-06-18T15:32:46.400Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Miss.,https://www.linkedin.com/in/rachel-theriault-0485391b3/,,Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Science in the Field of Artificial Intelligence,"Education, Health, Technology (Information and Media), Technology (Product Development)","Full Time, Contract, Capstone Project",,Queen's University,True,True,True,True c721e921-eaf9-44c9-b172-5fac7fe26081,yz3lin@uwaterloo.ca,Yun Zhi (Judy),Lin,https://talenthub.vectorinstitute.ai/profiles/2507725/view_image/1629847283700.jpeg,,,,,,,https://www.linkedin.com/in/yunzhi-judy-lin/,,True,False,,,,,,linkedin,2021-09-13T16:59:07.473Z,2022-01-18T18:24:49.748Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Ms.,https://www.linkedin.com/in/yunzhi-judy-lin/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Science and Artificial Intelligence (MDSAI),"Education, Financial Services, Health, Retail, Software, Technology (Product Development), Type of Work is More Important to me than Sector","Internship, Co-op","Data Engineer, Data Scientist, Machine Learning Engineer",University of Waterloo,True,True,True,True @@ -1258,7 +1275,6 @@ dbc902b6-3f4a-4218-855a-ea37ffd97aeb,faraz.ahmadi96@gmail.com,Faraz,Ahmadi,https As a software developer, I have programming experience in Python, Java, C#, C, C++, JavaScript, TypeScript, Node.js and Swift. I also have experience working with Git, MongoDB, SQL, .Net, Apache Kafka, AWS, Docker, Jenkins, Octopus, APIs, New Relic, ELK, Cucumber, PyCharm, IntelliJ, Android Studio, Visual Studio, Xcode, Postman, HTML and CSS. I'm always interested in learning about new technologies and coding practices. I have extensive experience teaching students and leading groups.",6472140235,,,,https://www.linkedin.com/in/elias-volonakis-759aa8177/,,False,False,,Toronto,Ontario,,Canada,linkedin,2022-09-14T22:01:44.299Z,2023-05-17T01:16:37.899Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/elias-volonakis-759aa8177/,,Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Management in Artificial Intelligence,"Education, Financial Services, Retail, Software, Technology (Information and Media)","Full Time, Internship, Contract","Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Software Engineer",University of Toronto,True,False,True,True 97e4b6e0-09c0-4fb8-8376-b3af0b98c1a6,schapman4141@gmail.com,Sean,Chapman,https://talenthub.vectorinstitute.ai/profiles/2649662/view_image/1620244962151.jpeg,,,9059992906,,,,,,False,False,https://canadaai.jobboard.io/api/v1/profiles/97e4b6e0-09c0-4fb8-8376-b3af0b98c1a6/resume,Guelph,Ontario,,Canada,linkedin,2022-01-14T19:03:51.561Z,2023-04-24T18:51:22.397Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Already Graduated,,Mr.,https://www.linkedin.com/in/sean-chapman-94b0001aa/,"Bayesian methods, Bioinformatics, Data science, Interpretability, Law, ethics and policy, Machine learning, Natural language processing, Statistical learning theory, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Science,"Financial Services, Health, Public Administration (i.e Gov't)","Full Time, Contract","Business Analyst/Business Intelligence Analyst , Data Engineer, Data Scientist, Machine Learning Researcher/Scientist ",University of Guelph,True,True,True,True -ead987ac-ed7b-4762-8394-acd08e29375a,maazsaad1440@gmail.com,Maaz,Saad,https://talenthub.vectorinstitute.ai/profiles/2993660/view_image/1660387735021.jpeg,Graduate Student at Ontario Tech University | Business Analytics | Artificial Intelligence,Graduate student at Ontario Tech University. I have 3+ years of professional experience in the domain of Data Analytics having worked in fields ranging from banking and finance to e-commerce. Actively pursuing an internship for Summer 2023 in the field of Analytics & AI to utilize the skills and knowledge learned during my graduate program. ,2899433957,,,,https://www.linkedin.com/in/maaz-saad-749757129/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/ead987ac-ed7b-4762-8394-acd08e29375a/resume,Oshawa,Ontario,,Canada,linkedin,2022-09-09T00:29:38.820Z,2022-12-17T18:39:42.399Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/maaz-saad-749757129/,"Anomaly detection, Data science, Machine learning, Time-series forecasting and modelling",Graduate Degree (Masters),Mid-Level (3-5 Years),Business Analytics & AI,,"Internship, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Product/Project Manager",OntarioTech University,True,True,True,True f06214aa-3173-4df9-90a4-60c97b4231bd,yuboalex.wang@mail.utoronto.ca,Yubo ,Wang,https://talenthub.vectorinstitute.ai/profiles/3449488/view_image/digital_photo.jpg,,,6475687343,,,,https://www.linkedin.com/in/yubo-wang-3792a9233/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/f06214aa-3173-4df9-90a4-60c97b4231bd/resume,Toronto,Ontario,,Canada,,2023-05-11T20:41:26.020Z,2023-05-16T17:21:47.661Z,True,True,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Already Graduated,,Mr.,https://www.linkedin.com/in/yubo-wang-3792a9233/,"Data science, Deep learning, Fairness, Machine learning, Natural language processing, Recommender systems",Graduate Degree (Masters),Entry Level (0-2 Years),MEng,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Full Time, Internship, Co-op, Contract","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer",University of Toronto,True,True,True,True 71868a20-8b35-4cd8-9a96-3c9c154ded3a,baris_aydemir@outlook.com,Baris,Aydemir,https://talenthub.vectorinstitute.ai/profiles/3245852/view_image/1616438995441.jpeg,Machine Learning Engineer,"Hard-working, long term software developer with passion for machine learning development. Mainly working on computer vision and NLP applications. @@ -1300,11 +1316,28 @@ Before starting graduate school, I oversaw data centre infrastructure for client Project manager with more than 10 years of experience in economy, finance, technology, business, and industry. successfully lead all various projects.",4373668953,,https://github.com/JinK1023,,https://www.linkedin.com/in/jin-kwon-443a13173/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/90dfd77d-85a1-4a8e-92fc-13fa99fd56b4/resume,,,,,linkedin,2023-04-13T05:19:50.346Z,2023-04-28T03:35:54.782Z,True,True,Other Vector Programming,Yes,Other Vector Programming,ON,Already Graduated,Caregivers and Machine Learning,Mr.,https://www.linkedin.com/in/jin-kwon-443a13173/,"Anomaly detection, Data science, Machine learning, Recommender systems",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),"Business Administration, Computer Engineering","Education, Financial Services, Health, Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Contract","Data Engineer, Data Scientist, Machine Learning Engineer",Other,True,True,True,True de1fd674-9d20-48b6-bf39-08faa69e0c28,pl0712@yorku.ca,Zhiyu,Li,https://talenthub.vectorinstitute.ai/profiles/3004527/view_image/6f13f927e6404b8b17d6aa2f4921e0c.jpg,,,4372604461,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/de1fd674-9d20-48b6-bf39-08faa69e0c28/resume,Toronto,Ontario,,Canada,,2022-09-16T05:34:23.700Z,2022-09-21T01:21:58.898Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,N/A,"Data science, Game theory, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),MMAI,Type of Work is More Important to me than Sector,Internship,Business Analyst/Business Intelligence Analyst ,York University,True,True,True,True -ce1ba7ba-2556-419d-b076-00e64d36adab,noah.marra@queensu.ca,Noah,Marra,https://talenthub.vectorinstitute.ai/profiles/3536818/view_image/1578083280664.jpeg,Machine Learning Engineer ,,,,https://github.com/Noah-Marra,,https://www.linkedin.com/in/noah-marra-48b619199/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/ce1ba7ba-2556-419d-b076-00e64d36adab/resume,,,,,linkedin,2023-06-20T01:35:31.926Z,2023-06-20T01:35:32.345Z,True,True,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/noah-marra-48b619199/,"Computer vision, Machine learning, Natural language processing",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Electrical Engineering,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,False,True,True 3608fb3e-da47-44bf-bc52-e5767a0f687c,shabani_saeid@hotmail.com,Saeid 萨伊德,Shabani,https://talenthub.vectorinstitute.ai/profiles/3541977/view_image/1516993943846.jpeg,,,,,,,https://www.linkedin.com/in/saeid-shabani/,,True,False,,,,,,linkedin,2023-06-21T14:08:33.309Z,2023-06-21T14:08:33.788Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/saeid-shabani/,,,,,,,,,True,True,True,True -8e46dc69-35ef-4732-a3db-45ada016151e,ikozl090@uottawa.ca,Itay,Kozlov,https://talenthub.vectorinstitute.ai/profiles/3410548/view_image/IMG-20230118-WA0041.png,Upcoming MScAC Student at the University of Toronto (Fall 2023) | Physics and Electrical Engineering Graduate,,2045107001,,,,https://www.linkedin.com/in/itay-kozlov-1195221b0/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/8e46dc69-35ef-4732-a3db-45ada016151e/resume,Ottawa,Ontario,,Canada,,2023-04-21T14:40:10.065Z,2023-05-23T18:42:39.282Z,True,True,Vector Scholarship Nominee,Yes,Vector Scholarship Nominee,Cell,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/itay-kozlov-1195221b0/,"Computer vision, Deep learning, Quantum computing",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Honours BSc in Physics and BASc in Electrical Engineering,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Internship, Contract","Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Ottawa,True,True,True,True 461b00de-dd01-4294-a58b-b294d2ea3b48,leslie.salgadoarzuag@ucalgary.ca,Leslie,Salgado,https://talenthub.vectorinstitute.ai/profiles/2839717/view_image/1646712508528.jpeg,Graduate Assistant and Ph.D. student ,"Experienced communication consultant, content creator and journalist. Currently pursuing doctoral studies in Communication and Media studies. Interested in Artificial Intelligence ethics, and AI representations and perceptions in the public sphere. ",14038895131,,,,https://www.linkedin.com/in/lesliesalgadoarzuaga/,leslisalgado,True,False,https://canadaai.jobboard.io/api/v1/profiles/461b00de-dd01-4294-a58b-b294d2ea3b48/resume,Calgary,Alberta,,Canada,linkedin,2022-06-03T02:25:49.176Z,2022-10-28T03:48:11.430Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,Fall 2024 (August - November),Not sure.,Mrs.,https://www.linkedin.com/in/lesliesalgadoarzuaga/,"Fairness, Law, ethics and policy",Postgraduate Degree (PhD),Senior Level (5+ Years),Communication and Media studies,Type of Work is More Important to me than Sector,Contract,Other ,Other,True,True,True,True +8e46dc69-35ef-4732-a3db-45ada016151e,itay.kozlov@mail.utoronto.ca,Itay,Kozlov,https://talenthub.vectorinstitute.ai/profiles/3410548/view_image/IMG-20230118-WA0041.png,Upcoming MScAC Student at the University of Toronto (Fall 2023) | Physics and Electrical Engineering Graduate,,12045107001,,,,https://www.linkedin.com/in/itay-kozlov-1195221b0/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/8e46dc69-35ef-4732-a3db-45ada016151e/resume,Ottawa,Ontario,,Canada,,2023-04-21T14:40:10.065Z,2023-07-05T19:00:21.318Z,True,True,Vector Scholarship Nominee,Yes,Vector Scholarship Nominee,Cell,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/itay-kozlov-1195221b0/,"Computer vision, Deep learning, Quantum computing",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Science in Applied Computing,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Internship, Contract","Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True +1b2bcedf-a851-42a7-a4aa-c50821bc05ce,yejiazhou2022@gmail.com,JIAZHOU,YE,https://talenthub.vectorinstitute.ai/profiles/3579746/view_image/1680385944474.jpeg,,,4379915588,,,,https://www.linkedin.com/in/jiazhou-ye-17a9a425b/,,True,False,,,,,,linkedin,2023-07-05T23:27:49.543Z,2023-07-05T23:27:49.907Z,True,True,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,ON,Spring/Summer 2024 (April - July),,Mr.,https://www.linkedin.com/in/jiazhou-ye-17a9a425b/,"Computer vision, Data science, Machine learning, Quantum computing",Graduate Degree (Masters),Entry Level (0-2 Years),Computational Science,,"Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Researcher/Scientist ",Laurentian University,True,True,True,True +ac5c155b-3ebc-418e-820d-67821f95fb85,akurbis99@gmail.com,A. Garrett,Kurbis,https://talenthub.vectorinstitute.ai/profiles/3581536/view_image/1649793673159.jpeg,,,,,,,https://www.linkedin.com/in/garrettkurbis/,,True,False,,,,,,linkedin,2023-07-06T13:46:43.551Z,2023-07-06T13:46:43.988Z,False,False,Vector Scholarship Recipient,Yes,,,,,,https://www.linkedin.com/in/garrettkurbis/,,,,,,,,,True,True,True,True e0550719-f3a7-48f5-9a36-df03ab0c0e5d,zlf465074419@gmail.com,Lingfeng,Zhang,https://talenthub.vectorinstitute.ai/profiles/1595077/view_image/0.jpeg,Thesis-based CS/AI Master's student at UOttawa ,Seeking for Intern Summer 2021!,1-613-262-1599,,https://github.com/RichardChangCA,,https://www.linkedin.com/in/lingfeng-zhang-a7b657184/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e0550719-f3a7-48f5-9a36-df03ab0c0e5d/resume,Ottawa,Ontario,,Canada,linkedin,2020-01-11T06:51:15.237Z,2020-12-06T17:23:48.944Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Herna Viktor,Already Graduated,,Mr.,https://www.linkedin.com/in/lingfeng-rinn-zhang-a7b657184/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Computer Science Concentration in Applied Artificial Intelligence,"Health, Technology (Information and Media)","Full Time, Internship, Co-op",,University of Ottawa,True,True,True,True +57448b23-d421-443f-b030-2c393e28940b,sj.pakdaman.edu@gmail.com,Sajjad,Pakdaman Savoji,https://talenthub.vectorinstitute.ai/profiles/2451060/view_image/IMG_1110__1_.png,"Vector Scholar in AI / Grad RA @ {VISTA, YorkU}","Passionate and self-motivated scientist, working towards a graduate degree through the EECS department at YorkU, with experience and interest in deep learning, machine learning, and data science.",+16478356679,,https://sajjadpsavoji.github.io,,https://www.linkedin.com/in/sajjad-pakdaman-savoji-9672221b6/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/57448b23-d421-443f-b030-2c393e28940b/resume,Toronto,Ontario,,Canada,linkedin,2021-07-29T06:28:21.108Z,2022-12-13T18:57:35.088Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,Professor James Elder,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/sajjad-pakdaman-savoji-9672221b6/,"Computer vision, Deep learning, Generative modeling, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Education, Health, Software, Technology (Information and Media), Technology (Product Development), Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",York University,True,True,True,True +5829aef2-ad39-4daf-9a03-d2b7295e1d3c,y3khan@gmail.com,Yasser,Khan,https://talenthub.vectorinstitute.ai/profiles/2624530/view_image/0B8D984D-E3A1-4FA6-B456-D021C52E4637_4_5005_c.jpeg,Experienced Data Analyst ,"Hi Everyone, +I have experience in: +- cleaning, exploring and analyzing data +- designing 3D reservoir models for forecasting oil, water and gas +- building economic models for running different scenarios, stress testing and valuation +- setting up machine learning models including pipelines for prediction +- validating models +- visualizing data in Pandas, Tableau and Spotfire +",905-567-7878,,http://y3khan.wordpress.com,,https://www.linkedin.com/in/yasserskhan,y3khan,True,False,https://canadaai.jobboard.io/api/v1/profiles/5829aef2-ad39-4daf-9a03-d2b7295e1d3c/resume,Toronto,Ontario,,Canada,,2021-12-22T19:55:56.467Z,2022-12-06T04:01:40.073Z,False,False,Recognized Masters Program,Yes,Unsure,,Already Graduated,University of Waterloo Data Science Certificate,Mr.,https://ca.linkedin.com/in/yasserskhan,"Machine learning, Robotics, Time-series forecasting and modelling",Graduate Degree (Masters),Mid-Level (3-5 Years),MBA,"Financial Services, Technology (Product Development)","Full Time, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Machine Learning Engineer",University of Waterloo,True,True,True,True +0bd38314-035c-420a-b6b5-24756dff8e56,swadhin.routray@gmail.com,Swadhin,Routray,https://talenthub.vectorinstitute.ai/profiles/3172169/view_image/1668878231342.jpeg,Privacy Engineering Grad at Carnegie Mellon University," I’m Swadhin, a Privacy Engineering Grad student at Carnegie Mellon University. + +I’m currently looking for Privacy Engineering Summer’23 Internship and have an inclination toward Differential Privacy and Synthetic Data and I would love to learn and contribute in this space!",+1 4123104303,,,,https://www.linkedin.com/in/swadhin-routray-ba20ab125/,routrayswadhin,True,False,,,,,,linkedin,2022-12-09T05:37:37.756Z,2022-12-09T05:37:38.701Z,False,False,Not Affiliated with Vector,No,Unsure,,Winter 2024 (December 2023 - March 2024),"I'm a Privacy Engineering Student at CMU, and would like to explore opportunities in the cross section of Privacy and AI.",Mr.,https://www.linkedin.com/in/swadhin-routray-ba20ab125/,"Law, ethics and policy, Machine learning, Privacy, anonymity, and/or security",Graduate Degree (Masters),Entry Level (0-2 Years),Privacy Engineering,,"Full Time, Internship","Software Engineer, Other ",Other,True,True,True,True +ead987ac-ed7b-4762-8394-acd08e29375a,maazsaad1440@gmail.com,Maaz,Saad,https://talenthub.vectorinstitute.ai/profiles/2993660/view_image/1660387735021.jpeg,Graduate Student at Ontario Tech University | Business Analytics | Artificial Intelligence,Graduate student at Ontario Tech University. I have 3+ years of professional experience in the domain of Data Analytics having worked in fields ranging from banking and finance to e-commerce. Actively pursuing an internship for Summer 2023 in the field of Analytics & AI to utilize the skills and knowledge learned during my graduate program. ,2899433957,,,,https://www.linkedin.com/in/maaz-saad-749757129/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ead987ac-ed7b-4762-8394-acd08e29375a/resume,Oshawa,Ontario,,Canada,linkedin,2022-09-09T00:29:38.820Z,2022-12-17T18:39:42.399Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/maaz-saad-749757129/,"Anomaly detection, Data science, Machine learning, Time-series forecasting and modelling",Graduate Degree (Masters),Mid-Level (3-5 Years),Business Analytics & AI,,"Internship, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Product/Project Manager",OntarioTech University,True,True,True,True +a429ea95-aecd-46fa-9bce-dd7f0f6ec59e,rongchen.guo1020@gmail.com,Rongchen,Guo,https://talenthub.vectorinstitute.ai/profiles/2501971/view_image/1619519086556.jpeg,Master Student in Computer Science," Actively seeking MLE/SDE opportunities. + Interests: Machine Learning, Data Visualization, Software Engineering, Virtual Reality",613-229-6082,,https://rongchenguo.github.io/,,https://www.linkedin.com/in/rongchen-guo/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a429ea95-aecd-46fa-9bce-dd7f0f6ec59e/resume,,Ontario,,Canada,linkedin,2021-09-08T20:29:54.560Z,2022-10-03T15:37:46.625Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/rongchen-guo/,"Anomaly detection, Bioinformatics, Computer vision, Data science, Deep learning, Few-shot learning, Generative modeling, Machine learning, Meta-learning, Natural language processing, Optimization, Representation learning, Self-supervised learning, Time-series forecasting and modelling, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Computer Science - Concentration in Applied Artificial Intelligence,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector",Full Time,"Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Ottawa,True,False,True,True 5347bd38-5056-4cdf-aa45-1b6cbacea5e8,maleki.danial93@gmail.com,Danial,Maleki,https://talenthub.vectorinstitute.ai/profiles/2110690/view_image/photo_2021-02-03_23-23-00.jpg,Machine Learning Scientist,,6473945448,,https://github.com/DaniMlk,,https://www.linkedin.com/in/danial-maleki/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/5347bd38-5056-4cdf-aa45-1b6cbacea5e8/resume,Waterloo,Ontario,,Canada,,2020-10-23T13:10:34.866Z,2023-06-26T14:23:42.976Z,True,True,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Prof. Hamid Tizhoosh,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/danial-maleki/,"Adversarial learning, Anomaly detection, Bioinformatics, Computational biology, Computer vision, Deep learning, Few-shot learning, Generative modeling, Healthcare and/or medical imaging, Machine learning, Natural language processing, Recommender systems, Self-supervised learning, Time-series forecasting and modelling, Transfer learning, Unsupervised learning",Postgraduate Degree (PhD),Senior Level (5+ Years),System Design Engineering,"Construction or Infrastructure, Education, Financial Services, Health, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Contract","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Waterloo,True,True,True,True 742e7632-d49f-4c07-bdf9-ea622bcde692,na.parvaresh@gmail.com,Nahid,Parvaresh,https://talenthub.vectorinstitute.ai/profiles/1546112/view_image/nahid.jpeg,Software Developer | Machine Learning | Data Science,"• Passionate and hardworking data scientist with 3 years of recent experience in developing machine learning and deep learning algorithms, as well as 5+ years of prior experience manipulating big datasets via SQL and Python in Ericsson • Knowledge and experience about various machine learning frameworks such as Scikit-learn, Keras, TensorFlow and Pytorch @@ -1313,8 +1346,14 @@ e0550719-f3a7-48f5-9a36-df03ab0c0e5d,zlf465074419@gmail.com,Lingfeng,Zhang,https • Having high trust of customer on quality and delivery timeline",6138691379,,,,https://www.linkedin.com/in/nahid-parvaresh-403b77a2,,False,False,https://canadaai.jobboard.io/api/v1/profiles/742e7632-d49f-4c07-bdf9-ea622bcde692/resume,,,,Canada,linkedin,2019-12-02T16:32:03.964Z,2023-06-14T19:56:04.764Z,True,True,Recognized Masters Program,Yes,Vector Scholarship Nominee,,Already Graduated,,Mrs.,https://www.linkedin.com/in/nahid-parvaresh-403b77a2/,"Deep learning, Machine learning, Recommender systems, Reinforcement learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science - Applied Artificial Intelligence,"Financial Services, Software, Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,"Data Scientist, Machine Learning Engineer, Software Engineer",University of Ottawa,True,True,True,True f0ab85da-6bab-466f-9f59-231191db7c8f,msaadsaif5@gmail.com,Saad,Saif,https://talenthub.vectorinstitute.ai/profiles/3555253/view_image/1674832713445.jpeg,,,,,,,https://www.linkedin.com/in/saadsaif/,,True,False,,,,,,linkedin,2023-06-26T19:31:43.570Z,2023-06-26T19:31:43.983Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/saadsaif/,,,,,,,,,True,True,True,True 62422882-b9d3-40c2-bc9e-1be8b637f247,nktran42@gmail.com,Noah,Tran,https://talenthub.vectorinstitute.ai/profiles/3520874/view_image/1652835606527.jpeg,,,,,,,https://www.linkedin.com/in/noahtran/,,True,False,,,,,,linkedin,2023-06-13T13:55:44.974Z,2023-06-13T13:55:45.778Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/noahtran/,,,,,,,,,True,False,True,True -8bf2d5ed-f7ef-4fd4-ac21-68b3e3d9abd0,manan.rajvir@rotman.utoronto.ca,Manan,Rajvir,https://talenthub.vectorinstitute.ai/profiles/2991946/view_image/Headshot-1-m_-_Copy.jpg,Rotman Masters of Management Analytics Candidate,"Data Science enthusiast possessing experience working with SQL and ETL tools to streamline data processing pipelines and handling large datasets. Driven to explore various applications of data science in different domains, including past research on emotion detection through keystroke dynamics and machine learning, and statistical projects in finance.",4379740822,,https://www.worldscientific.com/doi/10.1142/S0219649222500757,,https://www.linkedin.com/in/manan-rajvir/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/8bf2d5ed-f7ef-4fd4-ac21-68b3e3d9abd0/resume,Toronto,Ontario,,Canada,,2022-09-08T01:20:49.818Z,2023-06-05T21:33:05.476Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/manan-rajvir/,"Data science, Machine learning, Recommender systems",Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Management Analytics,"Financial Services, Software, Technology (Information and Media)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True c608d7f6-1a1d-4ca1-bc1a-a5ebbea5c2a0,zhe.fan@mail.mcgill.ca,Zhe,Fan,https://talenthub.vectorinstitute.ai/profiles/3495611/view_image/1665350938595.jpeg,Master's Student @ University of Toronto | Bioinformatics and Data Science,"A Master's Student with extensive applied ML research experience in computational modeling and biomedical data science. My primary interests are Data Science/Engineering, Applied Machine Learning in Vision, and Biomedical Informatics.",5142580188,,,,https://www.linkedin.com/in/zhe-f-690819137/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/c608d7f6-1a1d-4ca1-bc1a-a5ebbea5c2a0/resume,,,,,linkedin,2023-06-02T19:28:03.187Z,2023-06-04T21:39:27.548Z,True,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/zhe-f-690819137/,"Computer vision, Data science, Healthcare and/or medical imaging",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Science in Applied Computing,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",University of Toronto,True,False,True,True +8bf2d5ed-f7ef-4fd4-ac21-68b3e3d9abd0,manan.rajvir@rotman.utoronto.ca,Manan,Rajvir,https://talenthub.vectorinstitute.ai/profiles/2991946/view_image/Headshot-1-m_-_Copy.jpg,Rotman Masters of Management Analytics Candidate,"Data Science enthusiast possessing experience working with SQL and ETL tools to streamline data processing pipelines and handling large datasets. Driven to explore various applications of data science in different domains, including past research on emotion detection through keystroke dynamics and machine learning, and statistical projects in finance.",4379740822,,https://www.worldscientific.com/doi/10.1142/S0219649222500757,,https://www.linkedin.com/in/manan-rajvir/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/8bf2d5ed-f7ef-4fd4-ac21-68b3e3d9abd0/resume,Toronto,Ontario,,Canada,,2022-09-08T01:20:49.818Z,2023-06-05T21:33:05.476Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/manan-rajvir/,"Data science, Machine learning, Recommender systems",Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Management Analytics,"Financial Services, Software, Technology (Information and Media)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +bcf33ac5-85a9-433f-9ae9-7934a7bd75f3,asmahasan703@gmail.com,Asma,Fathima,https://talenthub.vectorinstitute.ai/profiles/2624587/view_image/Picture2.jpg,An experienced analyst with nearly five years of expertise in data analytics.,"Results-Driven Data Analyst with extensive experience in Data Mining, Modeling, Visualizing, and Predictive Analytics, adept at building strong relationships and leveraging data to drive meaningful outcomes.",6475618169,,https://github.com/AsmaFathima94,,https://www.linkedin.com/in/asma-fathima/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/bcf33ac5-85a9-433f-9ae9-7934a7bd75f3/resume,Toronto,Ontario,,Canada,,2021-12-22T19:56:28.439Z,2023-07-05T19:20:50.806Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Already Graduated,,Mrs.,www.linkedin.com/in/asmafathima,"AI safety, Anomaly detection, Data science, Deep learning, Healthcare and/or medical imaging, Machine learning, Unsupervised learning",Graduate Degree (Masters),Senior Level (5+ Years),Master of Management Analytics (MMA),"Education, Financial Services, Health, Retail, Technology (Information and Media), Technology (Product Development)","Full Time, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer",Queen's University,True,False,True,True +707ef0aa-c40c-402a-867a-97c4d92394cd,ankita02namdeo@gmail.com,Ankita,Namdeo,https://talenthub.vectorinstitute.ai/profiles/3012970/view_image/mypic.jpg,PRODUCT STRATEGY AND MANAGEMENT PROFESSIONAL,"Results-driven authentic leader with a diverse background in software, strategy, customer success, product, and Retail, food & Beverages, delivering market-leading products through cross-functional collaboration and data-driven decision making. +Self-motivated, adaptable learner blending business acumen with technical expertise. Results-driven with strong analytical, communication, and interpersonal skills to deliver customer-focused business outcomes +",+1-4372994614,,,,https://www.linkedin.com/in/ankita-namdeo-bit,,False,False,https://canadaai.jobboard.io/api/v1/profiles/707ef0aa-c40c-402a-867a-97c4d92394cd/resume,Toronto,Ontario,,Canada,,2022-09-21T18:54:18.819Z,2023-05-05T13:58:02.205Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Ms.,https://www.linkedin.com/in/ankita-namdeo-b870a3100/,"Data science, Machine learning",Graduate Degree (Masters),Senior Level (5+ Years),Master of Management in Artificial Intelligence,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,"Business Analyst/Business Intelligence Analyst , Data Engineer, Machine Learning Engineer, Product/Project Manager, Other ",York University,True,True,True,True +1d5b3314-f357-45ff-95bf-87f0df36c530,julian.urrego.ar@gmail.com,Julian,Urrego Arango,https://talenthub.vectorinstitute.ai/profiles/3592166/view_image/1623419099718.jpeg,,,,,,,https://www.linkedin.com/in/julian-urrego/,,True,False,,,,,,linkedin,2023-07-11T02:53:39.911Z,2023-07-11T02:53:40.289Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/julian-urrego/,,,,,,,,,True,True,True,True +ce1ba7ba-2556-419d-b076-00e64d36adab,noah.marra@queensu.ca,Noah,Marra,https://talenthub.vectorinstitute.ai/profiles/3536818/view_image/1578083280664.jpeg,Machine Learning Engineer ,,,,https://github.com/Noah-Marra,,https://www.linkedin.com/in/noah-marra-48b619199/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/ce1ba7ba-2556-419d-b076-00e64d36adab/resume,,,,,linkedin,2023-06-20T01:35:31.926Z,2023-06-20T01:35:32.345Z,True,True,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/noah-marra-48b619199/,"Computer vision, Machine learning, Natural language processing",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Electrical Engineering,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,False,True,True 777a3700-cafb-449c-9abc-c3847a419646,sapkotasabin24@gmail.com,Sabin,Sapkota,https://talenthub.vectorinstitute.ai/profiles/3164925/view_image/1560103402641.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-12-04T14:46:27.751Z,2022-12-04T14:46:28.131Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/sabinsapkota27/,,,,,,,,,True,True,True,True 5c233c64-dbc5-4a1c-958e-20ffa2a53153,shengye1chen@gmail.com,Jacky,Chen,https://talenthub.vectorinstitute.ai/profiles/2803604/view_image/1517070051532.jpeg,,"- 4 years of work experience of various roles in agile data analytics team in financial industry - Work and project experience in machine learning and statistic models, including neural networks, time series models, sentiment analysis and association rule learning @@ -1327,8 +1366,6 @@ ed931842-2e2e-4760-bf53-027eb15c496d,hmunjal2@uwo.ca,Hardik,Munjal,https://talen 6ae89ed9-d4f9-4aba-9d6c-2cbe3782c41d,elham.mirzaei@ontariotechu.net,Elham,Mirzaei,https://talenthub.vectorinstitute.ai/profiles/3222066/view_image/5.5-2-1-01-01.jpeg,,,6476133071,,,,http://www.linkedin.com/in/elham-mirzaei-26a95a201,,False,False,https://canadaai.jobboard.io/api/v1/profiles/6ae89ed9-d4f9-4aba-9d6c-2cbe3782c41d/resume,Richmond Hill,Ontario,,Canada,,2023-01-13T21:14:54.731Z,2023-01-13T23:37:50.380Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Fall 2023 (August - November),,Ms.,www.linkedin.com/in/elham-mirzaei-26a,"AI safety, Deep learning, Machine learning",Graduate Degree (Masters),Senior Level (5+ Years),Master of Information Technology security (AI),"Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Contract","Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",OntarioTech University,True,True,True,True 8b0254bb-7af2-4442-9db6-5889a2d1ba52,mraut@uoguelph.ca,Mahesh Balasaheb,Raut,https://talenthub.vectorinstitute.ai/profiles/3010848/view_image/Mahesh_Raut.jpg,Data Science | Software Engineer,"A Software Developer having 3+ years of industry experience with 1.5 years of experience as a Data Scientist using Machine Learning Algorithms and Computer Vision. ",5197817454,,,,https://www.linkedin.com/in/mahesh-raut,maheshraut576,False,False,https://canadaai.jobboard.io/api/v1/profiles/8b0254bb-7af2-4442-9db6-5889a2d1ba52/resume,Guelph,Ontario,,Canada,,2022-09-20T15:13:54.103Z,2023-01-14T01:42:09.922Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,"Ayesha Ali, Mihai Nica",Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/mahesh-raut-b9263813a/,"Computer vision, Data science, Deep learning, Machine learning, Natural language processing, Robotics, Time-series forecasting and modelling, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Data Science,"Education, Financial Services, Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Guelph,True,True,True,True -6eac6128-fa6d-426e-96f0-f4fb1e26bfc2,ashley.girgis@mail.utoronto.ca,Ashley,Girgis,https://talenthub.vectorinstitute.ai/profiles/3020097/view_image/linkedin_pic.jpg,Master of Health Informatics Candidate,"Health informatics enthusiast, eager to dive deeper into the realm of digital health. Seeking practicum opportunities for May 2023 - August 2023.",2899838080,,,,https://www.linkedin.com/in/agirgis,,False,False,https://canadaai.jobboard.io/api/v1/profiles/6eac6128-fa6d-426e-96f0-f4fb1e26bfc2/resume,,,,,,2022-09-26T18:07:38.752Z,2022-12-16T06:55:51.642Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Winter 2024 (December 2023 - March 2024),,Ms.,https://www.linkedin.com/in/agirgis/,"Healthcare and/or medical imaging, Machine learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Health Informatics,"Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Internship, Co-op, Contract","Data Analyst, Data Scientist, Machine Learning Researcher/Scientist , Product/Project Manager",University of Toronto,True,False,True,True -e7d5c9ce-3fd8-4301-8f8f-1970630faf0c,keerat@cs.toronto.edu,Keerat Kaur,Guliani,https://talenthub.vectorinstitute.ai/profiles/3010865/view_image/20220504165412_IMG_2825.JPG,MSc in Applied Computing student,,9057822065,,https://kkguliani.netlify.app/,,https://www.linkedin.com/in/keerat-kaur-guliani/,GulianiKaur,False,False,https://canadaai.jobboard.io/api/v1/profiles/e7d5c9ce-3fd8-4301-8f8f-1970630faf0c/resume,Toronto,Ontario,,Canada,,2022-09-20T15:14:13.912Z,2022-12-16T19:40:10.478Z,True,True,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Dr. Rahul G Krishnan,Spring/Summer 2024 (April - July),,Ms.,https://www.linkedin.com/in/keerat-kaur-guliani/,"Data science, Deep learning, Healthcare and/or medical imaging, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),MSc in Applied Computing,"Health, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,False,True,True 4034c66d-1161-43c4-941b-3ba03c9ee98e,hayley.r.shanks@gmail.com,Hayley,Shanks,https://talenthub.vectorinstitute.ai/profiles/3227787/view_image/1611271908712.jpeg,PhD Student in Neuroscience with Specialization in Machine Learning,,9056161743,,,,https://www.linkedin.com/in/hayleyrcshanks/,hayleyrcshanks,True,False,,London,Ontario,,Canada,linkedin,2023-01-17T22:32:23.811Z,2023-01-17T22:32:24.195Z,True,False,Unaffiliated PhD Graduate/Candidate,Yes,Other Vector Programming,,Other/Undetermined,"Enrolled in a PhD program with a collaborative specialization in machine learning in health and biomedical sciences, through the Vector institute and Western University",Ms.,https://www.linkedin.com/in/hayleyrcshanks/,"Bioinformatics, Healthcare and/or medical imaging, Neuroscience",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Neuroscience with a Specialization in Machine Learning,Type of Work is More Important to me than Sector,Internship,"Data Analyst, Data Scientist, Machine Learning Researcher/Scientist ",Western University,True,True,True,True 876d3a1f-9a9a-47ae-b759-37f0be92cfa9,jyzdsha@gmail.com,Zhēndòng,Shā,https://talenthub.vectorinstitute.ai/profiles/3277688/view_image/1669956791444.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-02-15T18:36:50.580Z,2023-02-15T18:36:50.997Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/zh%C4%93nd%C3%B2ng-sh%C4%81-49383688/,,,,,,,,,True,True,True,True d7cdda60-3296-4921-abac-75ceca735ec8,shaeribrahim@gmail.com,Ibrahim,Shaer,https://talenthub.vectorinstitute.ai/profiles/3221643/view_image/1622782973677.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-01-13T15:01:40.912Z,2023-01-13T15:01:41.354Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/ibrahim-shaer-714781124/,,,,,,,,,True,False,True,True @@ -1345,31 +1382,28 @@ And if you like this 3-course meal, Let’s connect!",6476715579,,,,https://link fc8b0b2a-359a-4ad8-a809-1a522ca32a83,fahad.ifti@hotmail.com,Fahad,Iftikhar,https://talenthub.vectorinstitute.ai/profiles/3239706/view_image/1637455955913.jpeg,,,,,,,https://www.linkedin.com/in/fahad-ifti/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/fc8b0b2a-359a-4ad8-a809-1a522ca32a83/resume,,,,,linkedin,2023-01-24T19:39:32.278Z,2023-01-24T19:39:32.640Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/fahad-ifti/,,Graduate Degree (Masters),Entry Level (0-2 Years),Management Analytics,"Financial Services, Manufacturing , Professional Services (e.g Consulting), Retail, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Product/Project Manager, Other ",University of Toronto,True,True,True,True 800ede8a-9465-44f1-99fa-3452ea4304d1,zengbeiqin99@gmail.com,Beiqin,Zeng,https://talenthub.vectorinstitute.ai/profiles/3182212/view_image/1651687248149.jpeg,,,4379844139,,,,https://www.linkedin.com/in/beiqin-zeng-ab36a11bb/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/800ede8a-9465-44f1-99fa-3452ea4304d1/resume,Toronto,Ontario,,Canada,linkedin,2022-12-16T04:15:39.954Z,2022-12-16T04:15:40.376Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Miss.,https://www.linkedin.com/in/beiqin-zeng-ab36a11bb/,"Bioinformatics, Computational biology, Computer vision, Data science, Deep learning, Healthcare and/or medical imaging, Machine learning, Natural language processing, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Science in Applied Computing,"Financial Services, Health, Software, Technology (Information and Media), Type of Work is More Important to me than Sector","Full Time, Contract","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Software Engineer",University of Toronto,True,False,True,True d0fcea9f-0358-4a44-92e3-3821ae50bdaf,harshpatel1242@gmail.com,Harsh,Patel,https://talenthub.vectorinstitute.ai/profiles/3183546/view_image/1621964989827.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-12-17T01:28:49.055Z,2022-12-17T01:28:49.462Z,False,False,Not Affiliated with Vector,No,,,,,,,,,,,,,,,True,True,True,True -db0b2832-dcb5-43d6-b365-7a0e447dac57,stanley.z.hua@gmail.com,Stanley,Hua,https://talenthub.vectorinstitute.ai/profiles/3186747/view_image/1629777163230.jpeg,Aspiring ML Engineer,,4379863444,,https://www.stanhua.github.io,,,,False,False,,Toronto,Ontario,,Canada,linkedin,2022-12-19T15:10:40.298Z,2022-12-19T15:10:40.684Z,True,True,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Anna Goldenberg,Spring/Summer 2024 (April - July),,Mr.,https://www.linkedin.com/in/stanley-z-hua/?originalSubdomain=ca,"Computer vision, Self-supervised learning, Transfer learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science,"Health, Retail, Software, Technology (Information and Media), Technology (Product Development)","Internship, Contract, Capstone Project","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,False,True,True f6b51f7a-0046-4f8f-ab20-c91c69ba5693,shekkizh@usc.edu,Sarath,Shekkizhar,https://talenthub.vectorinstitute.ai/profiles/3259576/view_image/1594341400607.jpeg,,,,,,,,,False,False,,,,,,linkedin,2023-02-05T21:01:56.897Z,2023-02-05T21:01:57.299Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/shekkizh/,,,,,,,,,True,False,True,True 6e9082f2-6d0f-4e7c-840d-35312daf2de3,vanderhou101@gmail.com,Cedric,Hou,https://talenthub.vectorinstitute.ai/profiles/3210830/view_image/1622515568483.jpeg,Data Analyst,,4372142031,,,,,,True,False,,Toronto,Ontario,,Canada,linkedin,2023-01-06T18:11:57.832Z,2023-01-06T18:11:58.191Z,True,True,Internal Staff,Yes,Unsure,,Already Graduated,Vector Employee,Mr.,,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Digital Management,Type of Work is More Important to me than Sector,Full Time,Data Scientist,Western University,True,True,True,True 30e0dabe-7223-4388-b8f4-07ae67705c88,khaledbedda12@gmail.com,Khaled,Bedda,https://talenthub.vectorinstitute.ai/profiles/3229523/view_image/1651815448927.jpeg,Research & Graduate assistant ,,8073587144,,,,https://www.linkedin.com/in/khaled-bedda-89693213b/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/30e0dabe-7223-4388-b8f4-07ae67705c88/resume,Thunder Bay,Ontario,,Canada,linkedin,2023-01-18T16:57:47.281Z,2023-02-02T04:04:15.393Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Lakehead University,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/khaled-bedda-89693213b/,,Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science - AI specialization,"Education, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Contract","Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Lakehead University,True,False,True,True -3dafab55-c4eb-4df5-b628-d6044c7605fd,aminfadaeinejad.edu@gmail.com,Amin,Fadaeinejad,https://talenthub.vectorinstitute.ai/profiles/2648543/view_image/Profile-Cropped.jpg,Researcher in Machine Learning and Computer Vision,,6479396985,,https://aminfadaei116.github.io/,,https://www.linkedin.com/in/amin-fadaeinejad/,AFadaeinejad,False,False,https://canadaai.jobboard.io/api/v1/profiles/3dafab55-c4eb-4df5-b628-d6044c7605fd/resume,Toronto,Ontario,,Canada,,2022-01-13T20:27:33.476Z,2023-03-08T03:46:59.811Z,True,True,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Marcus Brubaker,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/amin-fadaeinejad/,"Computer vision, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Electrical and Computer Engineering,"Education, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Internship, Co-op","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",York University,True,True,True,True -c1e72071-b332-4d1c-bbe3-0cbe2bdb6b90,mailgagannow@gmail.com,Gagandeep,Singh,https://talenthub.vectorinstitute.ai/profiles/3353646/view_image/1589330180083.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-03-26T19:20:01.733Z,2023-03-26T19:20:02.231Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,True,True,True -f883ab0a-8817-45a0-b64a-6d0ab6d32a57,oleksandra.nahorna@gmail.com,Oleksandra,Nahorna,https://talenthub.vectorinstitute.ai/profiles/3296531/view_image/1665332958935.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-02-26T03:54:06.224Z,2023-02-26T03:54:06.613Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/oleksandra-nahorna/?trk=public_profile_browsemap&originalSubdomain=pl,,,,,,,,,True,True,True,True -2b7a735d-410f-4e51-b2c5-322d60948d2f,kunwarsaaim@gmail.com,Kunwar,Muhammed Saaim,https://talenthub.vectorinstitute.ai/profiles/3313958/view_image/1657917983828.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-03-07T07:44:22.928Z,2023-03-07T07:44:23.336Z,False,False,Not Affiliated with Vector,No,,,,,,https://in.linkedin.com/in/kunwar-saaim,,,,,,,,,True,False,True,True +9fa88aab-9fdd-4a29-8067-7919e475da5f,ratnakumarneva@gmail.com,Neva,Pang,https://talenthub.vectorinstitute.ai/profiles/3410566/view_image/1625618115673.jpeg,Radiation Therapist & MRI Technologist,,,,,,https://www.linkedin.com/in/neva-pang-853856216/,,False,False,,Toronto,Ontario,,Canada,linkedin,2023-04-21T14:50:01.655Z,2023-04-21T14:50:02.229Z,True,False,Not Affiliated with Vector,No,Other Vector Programming,,Already Graduated,,Mrs.,https://www.linkedin.com/in/neva-pang-853856216/,"AI safety, Healthcare and/or medical imaging, Neuroscience",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Medical Radiation Sciences,"Education, Health, Professional Services (e.g Consulting)","Full Time, Capstone Project","Data Analyst, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +ea08cb30-ba50-4bb9-b420-ba76c55f998c,jwehbe@alumni.harvard.edu,Joseph,Wehbe,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,add a one liner here,update a paragraph,8578001135,,,,https://www.linkedin.com/in/joseph-w-5b86283/,,True,True,,Toronto,Ontario,,Canada,linkedin,2019-12-22T02:48:15.130Z,2023-04-15T21:18:34.275Z,True,True,Recognized Masters Program,Yes,Post Graduate Affiliate,,Already Graduated,,Mr.,https://www.linkedin.com/in/joseph-w-5b86283/,AI safety,Graduate Degree (Masters),Senior Level (5+ Years),Master's Mgmt Artificial Intelligence,"Education, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Contract",Other ,Queen's University,True,True,True,True efa5b526-45f6-4e06-9565-a90bf2c2d32e,vimal.kumar477@gmail.com,Vimal kumar,Parthasarathy,https://talenthub.vectorinstitute.ai/profiles/2513607/view_image/1554227402047.jpeg,ML Engineer,"Google certified Tensorflow developer, Microsoft Azure Data Scientist Certified Associate and an AI Engineer with experience working in the Information Technology industry. Seasoned in advanced Analytics with expertise in C, Python, SQL, Machine Learning(Regression, Clustering, classification), Deep Learning algorithms and Natural Language Processing, Embedded C and TinyML. Curious to unmask actionable insights from the raw data which helps businesses in big time. Inquisitive towards advanced artificial intelligence algorithms. Highly optimistic, swift to adaptable to new products, domains and inclined to take up new challenges and also had experience on cross-domain like food & beverage, Electric vehicle (EV), Startup development.",6479377325,,https://github.com/Vimal0307?tab=repositories,,https://www.linkedin.com/in/vimal-kumar-parthasarathy-767025136/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/efa5b526-45f6-4e06-9565-a90bf2c2d32e/resume,Toronto,Ontario,,Canada,linkedin,2021-09-17T15:00:48.281Z,2023-04-30T04:38:37.058Z,True,True,Not Affiliated with Vector,No,Post Graduate Affiliate,Ontario,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/vimal-kumar-parthasarathy-767025136/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Artificial intelligence and Data science,"Financial Services, Health, Retail, Technology (Product Development), Telecommunications","Full Time, Internship, Co-op","Data Analyst, Data Scientist, Machine Learning Engineer, Other ",Other,True,True,True,True fcd6e412-e7e0-414b-a7c6-c0a81055c012,ziyanwang1105@gmail.com,Ziyan,Wang,https://talenthub.vectorinstitute.ai/profiles/3402668/view_image/1637359821928.jpeg,,"Well trained recent graduated MBAN with high GPA, abundant hands-on internship experience and clear career focus seeking for a full time Data Analyst/Business Analyst position.",7789190529,,,,https://www.linkedin.com/in/zwang01/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/fcd6e412-e7e0-414b-a7c6-c0a81055c012/resume,Toronto,Ontario,,Canada,linkedin,2023-04-17T23:16:04.567Z,2023-04-17T23:16:05.074Z,True,True,Not Affiliated with Vector,No,Student or Postdoc of a Vector Faculty Member,,Already Graduated,,Mr.,https://www.linkedin.com/in/zwang01/,"Data science, Deep learning, Machine learning, Natural language processing, Optimization",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Business Analytics,"Financial Services, Professional Services (e.g Consulting), Retail, Technology (Information and Media)","Full Time, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True cfbe5d7a-3ae5-4fde-95c7-6356f6092e3f,gcousins@alumni.nd.edu,Gregory,Cousins,https://talenthub.vectorinstitute.ai/profiles/3426452/view_image/1669157658728.jpeg,,,,,,,https://www.linkedin.com/in/gcousins/,,True,False,,,,,,linkedin,2023-04-30T16:00:58.994Z,2023-04-30T16:00:59.505Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/gcousins/,,,,,,,,,True,True,True,True 3ca5c12d-3ade-4b04-a53f-44f990ee0bd1,hw2910@columbia.edu,Huifeng,Wu,https://talenthub.vectorinstitute.ai/profiles/3425466/view_image/rsz_pfp.png,Graduate Student at Columbia University,,3322657859,,http://github.com/kentwhf,,https://www.linkedin.com/in/kentwhf/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/3ca5c12d-3ade-4b04-a53f-44f990ee0bd1/resume,,,,,,2023-04-29T21:06:40.997Z,2023-04-29T21:06:41.083Z,True,True,Not Affiliated with Vector,No,Unsure,NA,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/kentwhf/,,Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,,"Full Time, Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,True,True,True -ea08cb30-ba50-4bb9-b420-ba76c55f998c,jwehbe@alumni.harvard.edu,Joseph,Wehbe,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,add a one liner here,update a paragraph,8578001135,,,,https://www.linkedin.com/in/joseph-w-5b86283/,,True,True,,Toronto,Ontario,,Canada,linkedin,2019-12-22T02:48:15.130Z,2023-04-15T21:18:34.275Z,True,True,Recognized Masters Program,Yes,Post Graduate Affiliate,,Already Graduated,,Mr.,https://www.linkedin.com/in/joseph-w-5b86283/,AI safety,Graduate Degree (Masters),Senior Level (5+ Years),Master's Mgmt Artificial Intelligence,"Education, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Contract",Other ,Queen's University,True,True,True,True +3dafab55-c4eb-4df5-b628-d6044c7605fd,aminfadaeinejad.edu@gmail.com,Amin,Fadaeinejad,https://talenthub.vectorinstitute.ai/profiles/2648543/view_image/Profile-Cropped.jpg,Researcher in Machine Learning and Computer Vision,,6479396985,,https://aminfadaei116.github.io/,,https://www.linkedin.com/in/amin-fadaeinejad/,AFadaeinejad,False,False,https://canadaai.jobboard.io/api/v1/profiles/3dafab55-c4eb-4df5-b628-d6044c7605fd/resume,Toronto,Ontario,,Canada,,2022-01-13T20:27:33.476Z,2023-03-08T03:46:59.811Z,True,True,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Marcus Brubaker,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/amin-fadaeinejad/,"Computer vision, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Electrical and Computer Engineering,"Education, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Internship, Co-op","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",York University,True,True,True,True +c1e72071-b332-4d1c-bbe3-0cbe2bdb6b90,mailgagannow@gmail.com,Gagandeep,Singh,https://talenthub.vectorinstitute.ai/profiles/3353646/view_image/1589330180083.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-03-26T19:20:01.733Z,2023-03-26T19:20:02.231Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,True,True,True +f883ab0a-8817-45a0-b64a-6d0ab6d32a57,oleksandra.nahorna@gmail.com,Oleksandra,Nahorna,https://talenthub.vectorinstitute.ai/profiles/3296531/view_image/1665332958935.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-02-26T03:54:06.224Z,2023-02-26T03:54:06.613Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/oleksandra-nahorna/?trk=public_profile_browsemap&originalSubdomain=pl,,,,,,,,,True,True,True,True +2b7a735d-410f-4e51-b2c5-322d60948d2f,kunwarsaaim@gmail.com,Kunwar,Muhammed Saaim,https://talenthub.vectorinstitute.ai/profiles/3313958/view_image/1657917983828.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-03-07T07:44:22.928Z,2023-03-07T07:44:23.336Z,False,False,Not Affiliated with Vector,No,,,,,,https://in.linkedin.com/in/kunwar-saaim,,,,,,,,,True,False,True,True 252ff6e0-42e6-4d00-8793-c26a076ffae9,agreen20@uoguelph.ca,Adam,Green,https://talenthub.vectorinstitute.ai/profiles/3000495/view_image/IMG_1088.jpg,Data Analyst,"I am currently studying to complete a Masters in Data Science with past experience in database analysis and health research. My educational background is in health science and statistics while my professional interests include applied data science in finance, social media data mining and constructive use of data in the non-profit sector. ",7058685007,,https://github.com/JollygreenG-10,,https://www.linkedin.com/in/adam-green-6a7a83211/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/252ff6e0-42e6-4d00-8793-c26a076ffae9/resume,Guelph,Ontario,,Canada,,2022-09-13T22:19:57.612Z,2023-03-22T14:52:06.737Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/adam-green-6a7a83211/,"Data science, Healthcare and/or medical imaging, Machine learning, Reinforcement learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Science,"Financial Services, Health, Technology (Information and Media)","Internship, Co-op, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Researcher/Scientist , Other ",University of Guelph,True,False,True,True 33eed524-fd82-4884-b31f-e8b02c3836b0,prvns1997@gmail.com,Praveen,Singh,https://talenthub.vectorinstitute.ai/profiles/3453261/view_image/1555353337158.jpeg,,,,,,,https://www.linkedin.com/in/prvns/,,False,False,,,,,,linkedin,2023-05-13T20:16:02.990Z,2023-05-13T20:16:03.464Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/prvns/,,,,,,,,,True,False,True,True -189601bf-503a-4a37-8fc7-dd52d9ad5fdf,hudafathima1402@gmail.com,Huda,Irfan Thalib,https://talenthub.vectorinstitute.ai/profiles/3005622/view_image/fdc15418-29d0-43f8-ab44-abdf9ec7c5d0.jpg,Aspiring Data Analyst,Master of Management in Artificial Intelligence at Schulich School of Business | Computer Science graduate,9055509968,,,,https://www.linkedin.com/in/huda-thalib-8858b01b0/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/189601bf-503a-4a37-8fc7-dd52d9ad5fdf/resume,,,,Canada,,2022-09-16T19:32:34.693Z,2023-05-01T23:35:03.401Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Spring/Summer 2023 (April - July),,Ms.,https://www.linkedin.com/in/huda-thalib/,"Deep learning, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management in Artificial Intelligence,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Software Engineer",York University,True,True,True,True 2313de1f-c965-44b1-bbc4-d5724058f506,nay_calaz@outlook.com,Nayara ,Calazans Bianchini,https://talenthub.vectorinstitute.ai/profiles/3418163/view_image/1654743389136.jpeg,,,,,,,https://www.linkedin.com/in/nayara-calazans/,,False,False,,,,,,linkedin,2023-04-26T05:57:57.518Z,2023-04-26T05:57:57.992Z,True,True,Not Affiliated with Vector,No,Unsure,,Winter 2025 (December 2024 - March 2025),,Ms.,https://www.linkedin.com/in/nayara-calazans/,,College Diploma,Entry Level (0-2 Years),Data Science and Finance Management,"Education, Financial Services, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Other ",Other,True,True,True,True -7b16c2e2-b0a2-4992-aa76-acf0da79a014,rohan.ajwani@gmail.com,Rohan Deepak,Ajwani,https://talenthub.vectorinstitute.ai/profiles/2955107/view_image/Rohan_Image.jpeg,Masters in Engineering student at University of Toronto,,4379937494,,,,https://www.linkedin.com/in/rohan-ajwani-08b411181,,False,False,https://canadaai.jobboard.io/api/v1/profiles/7b16c2e2-b0a2-4992-aa76-acf0da79a014/resume,Toronto,Ontario,,Canada,,2022-08-15T20:15:45.919Z,2022-12-06T20:15:56.286Z,True,True,Connected to Vector Research,Yes,Other/Unsure,Interning under Dr. Frank Rudzicz,Spring/Summer 2023 (April - July),Research Intern at Vector (Summer 2022),Mr.,https://www.linkedin.com/in/rohan-ajwani-08b411181/,"Adversarial learning, Deep learning, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Electrical and Computer Engineering,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True 2aa57b9e-4fe4-48c8-86f7-8f51636acb0f,snigdha.chaturvedi@rotman.utoronto.ca,Snigdha,Chaturvedi,https://talenthub.vectorinstitute.ai/profiles/2963126/view_image/IMG_8833_1_.jpeg,Masters of Management Analytics. Rotman,"Creative problem solver possessing 2 years of experience in the Financial Services Industry. Values working on varied problems, attributable to exposure to other industries like Public Sector and Technology. Deep-rooted appreciation for data and technology-driven change. ",7827784846,,,,https://www.linkedin.com/in/snigdha19,,False,False,https://canadaai.jobboard.io/api/v1/profiles/2aa57b9e-4fe4-48c8-86f7-8f51636acb0f/resume,Toronto,Ontario,,Canada,,2022-08-21T02:33:36.570Z,2023-05-16T23:52:17.789Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,Ontario,Fall 2023 (August - November),,Ms.,https://www.linkedin.com/in/snigdha1997/,"AI safety, Data science, Fairness, Generative modeling, Machine learning, Optimization, Reinforcement learning",Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Management Analytics,"Financial Services, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Product/Project Manager",University of Toronto,True,True,True,True 2d0d1c50-10c6-4315-8ecb-913775836982,rkurdyak@uwaterloo.ca,Robert,Kurdyak,https://talenthub.vectorinstitute.ai/profiles/2577170/view_image/IMG_1166.png,Data Science and Analytics Specialist ,"Currently at the University of Waterloo for Data Science and AI, I have a wide range of data preparation, analysis, and machine learning techniques, employing my broad background to ground complex ML models in real life. As well, I have become a communicative and effective data engineer through my experience at Softchoice, directly modifying and maintaining complex data models, databases, and Azure Data Factory Pipelines.",6474496900,,,,https://www.linkedin.com/in/robert-kurdyak,,False,False,https://canadaai.jobboard.io/api/v1/profiles/2d0d1c50-10c6-4315-8ecb-913775836982/resume,,,,,,2021-11-09T21:33:07.476Z,2023-05-17T15:53:45.336Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/robert-kurdyak/,"Adversarial learning, Deep learning, Recommender systems",Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Data Science and AI,"Education, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media)","Full Time, Contract","Data Analyst, Data Engineer, Data Scientist, Machine Learning Researcher/Scientist ",University of Waterloo,True,False,True,True -6654e75b-fc60-4c6b-9caa-d7af89478358,laurensocha@outlook.com,Lauren,"Socha, P.Eng",https://talenthub.vectorinstitute.ai/profiles/3365515/view_image/1617472649937.jpg,"Experienced Engineering and Project Manager with Interests in Data Science, Machine Learning and Artificial Intelligence","I am an experienced engineering and project manager with 10 years of experience in the material handing industry, specifically airport baggage and parcel/post sortation systems. I have practical, hands-on experience developing/reviewing designs, managing construction/stakeholders and executing go-lives of complex, multi-million dollar systems at various North American facilities. Most recently, I led the successful commissioning, testing and integration process of a brand new parcel/post facility in the Toronto area responsible for a global team of 50+ controls/software engineers and technical specialists. - -This experience piqued my interest in how these systems can use data to support the commissioning, testing and integration processes, as well as how to build systems that are ""smarter"" for the customer, and subsequently led me to participate in the Excel to AI and Caregivers and Machine Learning certificates through the Vector Institute.",289-423-6749,,,,https://www.linkedin.com/in/lauren-socha-p-eng,,False,False,https://canadaai.jobboard.io/api/v1/profiles/6654e75b-fc60-4c6b-9caa-d7af89478358/resume,Toronto,Ontario,,Canada,,2023-03-31T15:41:41.291Z,2023-04-14T14:00:27.204Z,True,False,,,Other Vector Programming,,Already Graduated,Caregivers and Machine Learning,Mrs.,,"Anomaly detection, Computer vision, Data science",Undergraduate Degree (Bachelors),Senior Level (5+ Years),Mechanical Engineering - Mechatronics (Co-op),Type of Work is More Important to me than Sector,Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Product/Project Manager",University of Guelph,True,True,True,True -65ee37a9-eeb7-401d-81c6-4f60b7778164,kh.abbasfatima@gmail.com,Khadeeja,Abbas,https://talenthub.vectorinstitute.ai/profiles/3402675/view_image/1660764752621.jpeg,,,5874363492,,,,https://www.linkedin.com/in/khadeejaa/,,True,False,,,,,,linkedin,2023-04-17T23:26:27.150Z,2023-04-17T23:26:27.701Z,True,True,Not Affiliated with Vector,No,Unsure,,Other/Undetermined,"I'm an undergraduate student, not a master's student",Ms.,https://www.linkedin.com/in/khadeejaa/,"AI safety, Deep learning, Machine learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),BSc in Computer Science,Type of Work is More Important to me than Sector,"Internship, Co-op","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,True,True,True -ab2570cd-4268-439a-ae10-5b9318042036,verma.ece.ruchika@gmail.com,Ruchika,Verma,https://talenthub.vectorinstitute.ai/profiles/3365528/view_image/1651375419713.jpeg,Machine Learning Scientist,"I am an associate machine learning scientist at the Alberta Machine Intelligence Institute (Amii). I am passionate about developing machine learning algorithms to solve real world problems at the intersection of precision oncology, digital health and medical big-data. I completed my Ph.D. in Biomedical Engineering from Case Western Reserve University, Cleveland, USA. Previously, I completed my Masters in Electronics and Electrical Engineering, specializing in statistical signal processing and machine learning, from IIT Guwahati, India. I did my undergrad (B. Tech) in Electronics and Communication Engineering from Punjab Technical University, Jalandhar, Punjab. I developed strong analytical, programming and technical communication skills through my work at the crossroads of machine learning, signal and image processing, and computational cancer research.",,,https://ruchika-verma.weebly.com/,,https://www.linkedin.com/in/ruchika--verma/,Ruchika__Verma,False,False,https://canadaai.jobboard.io/api/v1/profiles/ab2570cd-4268-439a-ae10-5b9318042036/resume,Edmonton,Alberta,,Canada,,2023-03-31T15:41:42.865Z,2023-04-13T19:46:34.253Z,True,True,,,Other Vector Programming,,Already Graduated,Attending Caregivers and Machine Learning,Dr.,,"Bioinformatics, Computational biology, Data science, Deep learning, Healthcare and/or medical imaging, Machine learning",Postgraduate Degree (PhD),Senior Level (5+ Years),Biomedical Engineering,"Education, Health, Technology (Product Development)",Full Time,"Data Analyst, Data Scientist, Machine Learning Researcher/Scientist ",Other,True,True,True,True +832ce815-c38b-410f-a118-2c4b0f965075,saksham11111010001@gmail.com,Saksham,Malik,https://talenthub.vectorinstitute.ai/profiles/3471468/view_image/1590216177610.jpeg,,,,,,,https://www.linkedin.com/in/saksham-m-256426133/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/832ce815-c38b-410f-a118-2c4b0f965075/resume,Toronto,Ontario,,Canada,linkedin,2023-05-22T22:36:34.423Z,2023-05-22T22:36:35.024Z,True,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Chris Maddison,Spring/Summer 2024 (April - July),Was a student of one of the Vector Faculty Members in undergraduate program.,Mr.,https://www.linkedin.com/in/saksham-m-256426133/,"Computer vision, Deep learning, Generative modeling, Reinforcement learning, Representation learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),"CS, Math and Stats",Type of Work is More Important to me than Sector,"Full Time, Internship, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer, Other ",University of Toronto,True,True,True,True +b1513d5c-1463-45c0-87ca-4a1289cce4b2,aboni.aust@gmail.com,Farzana,Alam,https://talenthub.vectorinstitute.ai/profiles/3442816/view_image/1663052081853.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-05-09T05:47:51.413Z,2023-05-09T05:47:51.745Z,False,False,Recognized Masters Program,Yes,,,,,,https://ca.linkedin.com/in/farzana-alam-96136824?,,,,,,,,,True,True,True,True +72ca82d9-3c97-4e1c-b61b-540817a6bd82,vaibhavmehra.here@gmail.com,Vaibhav,Mehra,https://talenthub.vectorinstitute.ai/profiles/3441833/view_image/Prof_image.jpg,Senior Data Analyst,,9918851051,,,,https://www.linkedin.com/in/vaibhavmehra12/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/72ca82d9-3c97-4e1c-b61b-540817a6bd82/resume,,,,,,2023-05-08T15:58:19.312Z,2023-05-08T15:58:19.358Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Fall 2024 (August - November),,Mr.,N/A,"Data science, Machine learning, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management Analytics,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",University of Toronto,True,True,True,True +563508fd-5242-4eac-9a18-184f2d58a5e3,richard.gerum+social@protonmail.com,Richard,Gerum,https://talenthub.vectorinstitute.ai/profiles/3435221/view_image/1600963477989.jpeg,Postdoctoral Researcher,,6477656848,,,,https://www.linkedin.com/in/richard-gerum-77bb3987/,RichardGerum,False,False,https://canadaai.jobboard.io/api/v1/profiles/563508fd-5242-4eac-9a18-184f2d58a5e3/resume,Toronto,Ontario,,Canada,linkedin,2023-05-04T20:01:38.991Z,2023-05-11T15:28:02.363Z,True,True,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Joel Zylberberg,Already Graduated,,Mr.,https://www.linkedin.com/in/richard-gerum-77bb3987/,"Computer vision, Deep learning, Machine learning, Neuroscience, Physics",Postgraduate Degree (PhD),Senior Level (5+ Years),Physics,"Education, Software",Full Time,"Machine Learning Researcher/Scientist , Software Engineer",York University,True,True,True,True 8793c3f9-e42a-4b88-a148-84783447f749,ayromlous@gmail.com,Sana,Ayromlou,https://talenthub.vectorinstitute.ai/profiles/3457386/view_image/1666568939982.jpeg,,,6047108954,,,,https://www.linkedin.com/in/sana-ayromlou/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8793c3f9-e42a-4b88-a148-84783447f749/resume,Vancouver,British Columbia,,Canada,linkedin,2023-05-16T05:04:05.314Z,2023-05-16T17:08:16.973Z,True,True,Other Vector Programming,Yes,Other Vector Programming,,Fall 2023 (August - November),Vector Summer Internship,Mrs.,https://www.linkedin.com/in/sana-ayromlou/,"Anomaly detection, Computer vision, Deep learning, Healthcare and/or medical imaging, Online learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Engineering,"Financial Services, Health, Type of Work is More Important to me than Sector","Full Time, Internship","Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True a9ad1585-c1d4-443a-99ed-33ba799bb7e1,slvrcobra13@yahoo.co.in,sparsh,garg,https://talenthub.vectorinstitute.ai/profiles/3458815/view_image/1516856821033.jpeg,Machine learning engineer,Have worked in projects(both professional and academic) related to applying machine learning for computer vision related problems ,437,,,,https://www.linkedin.com/in/sparsh-garg-41611b82/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/a9ad1585-c1d4-443a-99ed-33ba799bb7e1/resume,Toronto,Ontario,,Canada,linkedin,2023-05-16T16:06:01.318Z,2023-05-16T16:06:01.813Z,True,True,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,no,Already Graduated,I have graduated from a university in USA so I am not sure if that meets your criteria for approval(program is computer sicence and degree is masters of science),Mr.,https://www.linkedin.com/in/sparsh-garg-41611b82/,"Computer vision, Deep learning, Machine learning, Robotics",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,"Technology (Information and Media), Technology (Product Development)","Full Time, Co-op","Data Scientist, Machine Learning Engineer, Software Engineer",Other,True,False,True,True 26b06ab4-2870-45e9-bd70-549557e318d4,mitrakhalvati@gmail.com,Mitra,Khalvati,https://talenthub.vectorinstitute.ai/profiles/3461233/view_image/1649663280708.jpeg,,,,,,,https://www.linkedin.com/in/mitra-khalvati-38b14814a/,,True,False,,,,,,linkedin,2023-05-17T15:36:28.176Z,2023-05-17T15:36:28.602Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/mitra-khalvati-38b14814a/,,,,,,,,,True,False,True,True @@ -1380,11 +1414,6 @@ Over the past 3 years, I've dedicated myself to building my project management, I'm constantly looking for my next opportunity to learn and contribute. Varsity Rugby Athlete, chess player, and avid reader in my spare time! Current Project: Learning about digital health strategy and best healthcare practices for clinical transformation within mental healthcare",6475312612,,,,https://www.linkedin.com/in/shaaf-farooq/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/e769efb5-d7b2-4323-b7f9-a2ce271f4704/resume,Toronto,Ontario,,Canada,linkedin,2022-09-22T02:24:09.588Z,2023-01-12T23:00:11.347Z,True,True,Recognized Masters Program,Yes,Vector Scholarship Recipient,"Yusuf Sheikh, Diana Moyano",Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/shaaf-farooq/,"Healthcare and/or medical imaging, Optimization, Privacy, anonymity, and/or security",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Health Informatics,"Financial Services, Health, Professional Services (e.g Consulting)","Full Time, Internship","Business Analyst/Business Intelligence Analyst , Product/Project Manager",University of Toronto,True,False,True,True -5b7fb0d5-91a1-49a2-b3d3-99c1b60d3c21,egheibi@dal.ca,Mirerfan,Gheibi,https://talenthub.vectorinstitute.ai/profiles/2278177/view_image/prof_pic.png,Master's of Computer Science,,+17828822142,,https://mirerfangheibi.github.io,,https://www.linkedin.com/in/mirerfangheibi/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/5b7fb0d5-91a1-49a2-b3d3-99c1b60d3c21/resume,Toronto,Ontario,,Canada,,2021-03-19T14:36:03.251Z,2023-05-22T14:25:27.521Z,True,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Sageev Oore,Already Graduated,,Mr.,https://www.linkedin.com/in/mirerfangheibi/,"Computer vision, Deep learning, Transfer learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master's of Computer Science,Type of Work is More Important to me than Sector,Full Time,"Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True -508bfd68-a171-465e-a3e8-6d25fdf3c4de,bala1987@gmail.com,Balachandar,Arumugam,https://talenthub.vectorinstitute.ai/profiles/3341118/view_image/1575937128281.jpeg,,,,,,,,,False,False,,,,,,linkedin,2023-03-20T19:37:47.383Z,2023-03-20T19:37:47.899Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,False,True,True -449d52a6-63bc-4206-9001-b33b75aad892,arabacicemile22@gmail.com,Cemile Senem ,Arabaci ✨ MSc.,https://talenthub.vectorinstitute.ai/profiles/3356869/view_image/1677164348720.jpeg,Data Scientist ,"I have one year of experience in data science and machine learning with a background in physics. I am always excited about solving problems through predictive modeling and data analysis. I am also eager to explore and learn more through challenging problems since it is my strength as a theoretical physicist. I am currently looking for a DS/ML/AI/DL team where I can grow with the team and the company. - -If you are looking for more info you can email at arabacicemile22@gmail.com or send a LinkedIn request with a message, looking forward to collaborating and chatting.",2266066054,,,,https://www.linkedin.com/in/cemilesenem/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/449d52a6-63bc-4206-9001-b33b75aad892/resume,Waterloo,Ontario,,Canada,linkedin,2023-03-28T03:50:02.138Z,2023-03-28T03:50:02.456Z,True,True,Unaffiliated PhD Graduate/Candidate,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/cemilesenem/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Physics,,"Full Time, Internship, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Waterloo,True,True,True,True 0bf6da49-23af-47fe-8922-f9ee2675c9a0,m.pourkeshavarz@gmail.com,Mozhgan,PourKeshavarz,https://talenthub.vectorinstitute.ai/profiles/3241616/view_image/1654527315931.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-01-25T19:59:59.424Z,2023-01-25T19:59:59.806Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/mozhgan-pourkeshavarz-72256b155/,,,,,,,,,True,True,True,True f9224cbc-80fa-4690-a2bc-180466686ce6,vincent.langard@bcdiploma.com,Vincent,Langard,https://talenthub.vectorinstitute.ai/profiles/3244073/view_image/1668497442213.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-01-27T11:03:19.429Z,2023-01-27T11:03:19.825Z,False,False,Not Affiliated with Vector,No,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/vlangard,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Sciences,,Full Time,Other ,Other,True,False,True,True e109665c-74ca-450a-b91e-f2ff097d039b,shabnam.haghzare@gmail.com,Shabnam,Haghzare,https://talenthub.vectorinstitute.ai/profiles/3146726/view_image/1667853142729.jpeg,AI Consultant/Postdoctoral Researcher,,6476180574,,https://www.shabnamhaghzare.com/,,https://www.linkedin.com/in/ShabnamHaghzare/,ShabnamHZare,False,False,https://canadaai.jobboard.io/api/v1/profiles/e109665c-74ca-450a-b91e-f2ff097d039b/resume,Toronto,Ontario,,Canada,linkedin,2022-11-21T18:14:57.428Z,2023-05-18T15:44:56.914Z,True,True,Connected to Vector Research,Yes,Post Graduate Affiliate,,Already Graduated,,Dr.,https://www.linkedin.com/in/ShabnamHaghzare/,"AI safety, Data science, Deep learning, Healthcare and/or medical imaging, Interpretability, Time-series forecasting and modelling",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Biomedical Engineering,"Financial Services, Health, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development), Transportation","Full Time, Contract","Data Scientist, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True @@ -1400,15 +1429,12 @@ Clinically, he is practicing family medicine and occupational health in Ontario, 58af29fd-f154-47d8-a3af-3482edd30580,psamu094@uottawa.ca,Praveen,Samudrala,https://talenthub.vectorinstitute.ai/profiles/2515980/view_image/face.jpg,,,,,https://praveen-samudrala.github.io/,,https://www.linkedin.com/in/praveen-samudrala304/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/58af29fd-f154-47d8-a3af-3482edd30580/resume,,,,,,2021-09-19T20:18:03.129Z,2023-05-04T12:41:28.396Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/praveen-samudrala304/,"Data science, Deep learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),MEng Electrical and Computer Engineering concentration in Applied Artificial Intelligence,"Education, Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Scientist, Machine Learning Engineer, Software Engineer",University of Ottawa,True,True,True,True d135260d-5275-4698-868e-a289ed9bcbe2,salehsargolzaee@gmail.com,Saleh,Sargolzaei,https://talenthub.vectorinstitute.ai/profiles/3441917/view_image/1668431196998.jpeg,,,,,https://salehsargolzaei.com/,,https://www.linkedin.com/in/saleh-sargolzaee/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d135260d-5275-4698-868e-a289ed9bcbe2/resume,,,,,linkedin,2023-05-08T16:41:41.980Z,2023-05-08T16:41:42.520Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/saleh-sargolzaee/,"AI safety, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,Type of Work is More Important to me than Sector,"Internship, Co-op","Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Windsor,True,True,True,True a9f71f80-eae8-4271-b680-8e7e976d4bb5,sarah.ece95@g2.nctu.edu.tw,Sarah,Wong (Huang),https://talenthub.vectorinstitute.ai/profiles/3441194/view_image/1662801945773.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-05-08T10:34:52.675Z,2023-05-08T10:34:53.024Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,True,True,True -a712c697-9b4f-448a-b692-6f4b5147e2fa,m.nejadsattary@queensu.ca,Masoud,Nejad-Sattary,https://talenthub.vectorinstitute.ai/profiles/2994420/view_image/photo_2022-04-06_11-52-52.jpg,Experienced Technology Executive,"Highly experienced technology executive with extensive experiance in the Information and Communications industry. Proven track record of leading teams in the implementation and upgrade of mobile network core elements, transmission and IP network equipment, carrier-grade web caching/content delivery network solutions, large enterprise private and campus data networks, data center design and implementation, and the maintenance and optimization of GSM networks. Skilled in project management with experience delivering projects from the sales and pre-sales stages to implementation, customization, and delivery. Co-founder and mentor for start-up projects in AI and related telecommunication industries. Strong skills in team leadership, global operations, product development, artificial intelligence, telecommunications, and IT network administration.",6478469708,,,,https://www.linkedin.com/in/masood-sattary/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/a712c697-9b4f-448a-b692-6f4b5147e2fa/resume,Toronto,Ontario,,Canada,,2022-09-09T12:59:58.438Z,2023-01-03T10:47:34.705Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/masood-sattary,,Graduate Degree (Masters),Senior Level (5+ Years),Artificial Intelligence / Master of Financial Innovations and Technologies,,"Full Time, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Product/Project Manager",Queen's University,True,True,True,True 89e4e973-b38d-496a-a230-24e9389e5b65,haleemasheraz@gmail.com,Haleema,Sheraz,https://talenthub.vectorinstitute.ai/profiles/2612390/view_image/IMG_4917_Original.jpg,Machine Learning Engineer, I currently work as a Machine Learning Engineer at BMO Financial Group and am currently enrolled in a master's program in Computer Science.,6475753164,,,,https://www.linkedin.com/in/haleema-s-17904197/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/89e4e973-b38d-496a-a230-24e9389e5b65/resume,,,,,,2021-12-10T23:38:37.846Z,2023-05-23T15:58:45.331Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2024 (April - July),,Miss.,N/A,"AI safety, Data science, Deep learning, Machine learning, Time-series forecasting and modelling, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,Type of Work is More Important to me than Sector,"Full Time, Internship, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Guelph,True,True,True,True f4227b8a-6cd4-4e40-9639-1f5b39fe942a,danielsouzasevero@gmail.com,Daniel,Severo,https://talenthub.vectorinstitute.ai/profiles/1793195/view_image/5f4137714834378cbeb267932bb101c3.jpeg,Compression and Machine Learning,"I'm a Ph.D. student at the University of Toronto and Vector Institute for Artificial Intelligence. My research interests are lossless data compression, information theory, and AI. Data sources usually have some type of structure, such as graphs and sets. This means we can compress them better by taking this structure into account during compression. Unfortunately, existing methods that do this are either sub-optimal (don’t achieve the Shannon bound) or computationally intractable. I’m interested in building computationally efficient compression algorithms that can be used with deep generative models on structured data, as well as their connections to bayesian methods. Originally, I am from Florianópolis (Brazil) but I’ve lived in New Jersey, Orlando, Toronto (now), São Paulo, as well as other smaller cities in the south of Brazil.",+1 647 679 9376,,https://dsevero.com,,https://www.linkedin.com/in/danielsevero,_dsevero,False,False,https://canadaai.jobboard.io/api/v1/profiles/f4227b8a-6cd4-4e40-9639-1f5b39fe942a/resume,Toronto,Ontario,,Canada,linkedin,2020-05-16T22:31:04.676Z,2023-05-25T17:46:37.069Z,True,True,Vector Scholarship Recipient,Yes,Student or Postdoc of a Vector Faculty Member,Alireza Makhzani,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/danielsevero,"Generative modeling, Graphical models, Machine learning",Postgraduate Degree (PhD),Senior Level (5+ Years),Ph.D. Electrical & Computer Engineering,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Contract",Machine Learning Researcher/Scientist ,University of Toronto,True,True,True,True 1380565c-4721-45ca-aeb6-081181e37857,hmu026@uottawa.ca,HONGFAN,MU,https://talenthub.vectorinstitute.ai/profiles/1598653/view_image/WechatIMG94.jpeg,Experienced Data and Requirements analyst,Computer Science (AAI) Major | Graduating 2022 fall | Searching for Internship in AAI| Data Analyst/Data Scientist | NLP/ Time series data analysis(prediction)| Graph neural network |,8732881216,,,,,,False,False,https://canadaai.jobboard.io/api/v1/profiles/1380565c-4721-45ca-aeb6-081181e37857/resume,Ottawa,Ontario,,Canada,,2020-01-13T15:12:48.051Z,2023-05-19T16:49:37.778Z,True,True,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Miss.,https://www.linkedin.com/in/hongfan-mu/,"Graphical models, Natural language processing, Time-series forecasting and modelling",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science (AAI),"Financial Services, Health, Professional Services (e.g Consulting), Retail, Technology (Information and Media), Transportation",Internship,"Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Ottawa,True,True,True,True -23fe212c-0e99-4a6e-92e3-d80740962212,royadehghani94@gmail.com,Roya,Dehghani,https://talenthub.vectorinstitute.ai/profiles/2504474/view_image/Roya_Photo_1_.jpg,Graduate resercher,"I am a research and teaching assistant at the University of Ontario Tech and a Vector Scholarship recipient in Artificial Intelligence. My research area is in deep learning and computer vision. -",2896858646,,,,https://linkedin.com/in/rdehghani73,,False,False,https://canadaai.jobboard.io/api/v1/profiles/23fe212c-0e99-4a6e-92e3-d80740962212/resume,Toronto,Ontario,,Canada,,2021-09-10T17:42:51.495Z,2023-05-26T16:43:18.726Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Spring/Summer 2023 (April - July),,Miss.,https://www.linkedin.com/in/roya-dehghani-491055151/,"Computer vision, Data science, Robotics, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Financial Services, Retail, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Software Engineer",OntarioTech University,True,True,True,True 508bfd68-a171-465e-a3e8-6d25fdf3c4de,bala1987@gmail.com,Balachandar,Arumugam,https://talenthub.vectorinstitute.ai/profiles/3341118/view_image/1575937128281.jpeg,,,,,,,,,False,False,,,,,,linkedin,2023-03-20T19:37:47.383Z,2023-03-20T19:37:47.899Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,False,True,True 449d52a6-63bc-4206-9001-b33b75aad892,arabacicemile22@gmail.com,Cemile Senem ,Arabaci ✨ MSc.,https://talenthub.vectorinstitute.ai/profiles/3356869/view_image/1677164348720.jpeg,Data Scientist ,"I have one year of experience in data science and machine learning with a background in physics. I am always excited about solving problems through predictive modeling and data analysis. I am also eager to explore and learn more through challenging problems since it is my strength as a theoretical physicist. I am currently looking for a DS/ML/AI/DL team where I can grow with the team and the company. @@ -1472,7 +1498,6 @@ d8217922-fe7a-40ad-93de-d40b1997976b,nathancragg@gmail.com,Nathan,Cragg,https:// 593a0170-5594-4f30-a38c-6aad5149e5f0,tnaheyan@yorku.ca,Tasneem,Naheyan,https://talenthub.vectorinstitute.ai/profiles/1974054/view_image/20210101_151141_-_Copy__2_.jpg,Master's Student at York University | Electrical Engineering | Computer Vision,,4373444796,,,,https://www.linkedin.com/in/tasneem-naheyan,,False,False,https://canadaai.jobboard.io/api/v1/profiles/593a0170-5594-4f30-a38c-6aad5149e5f0/resume,Toronto,Ontario,,Canada,,2020-09-11T13:47:09.819Z,2023-01-25T17:40:31.397Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Dr. James Elder,Fall 2022 (August - November),Student of a Vector Faculty Affiliate,Miss.,https://www.linkedin.com/in/tasneem-naheyan,"Computer vision, Data science, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Applied Science in Electrical and Computer Engineering,"Health, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",York University,True,True,True,True 0e4a6143-3df6-46a4-ab0e-f3a6038a6ac1,arasheed@lakeheadu.ca,Asif,Rasheed,https://talenthub.vectorinstitute.ai/profiles/3031984/view_image/49068949.jpeg,,,8073583277,,,,https://linkedin.com/in/asifrash,,False,False,https://canadaai.jobboard.io/api/v1/profiles/0e4a6143-3df6-46a4-ab0e-f3a6038a6ac1/resume,Thunder Bay,Ontario,,Canada,,2022-10-05T01:02:39.436Z,2023-06-05T19:33:18.505Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/asifrash/,"Reinforcement learning, Unsupervised learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science (Thesis) with specialization in Artificial Intelligence,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation",Internship,"Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Lakehead University,True,True,True,True be0ab558-cbc8-4c50-b0f0-cbd5993ac3cf,xqzhou321@gmail.com,Xuqi,Zhou,https://talenthub.vectorinstitute.ai/profiles/2994402/view_image/Screenshot_20220905-091711_Gallery.jpg,,,2048902629,,,,,,True,False,,Kitchener,Ontario,,Canada,,2022-09-09T12:59:56.571Z,2023-06-06T02:28:13.153Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Mr.,www.linkedin.com/in/zhou-xuqi,"Computer vision, Data science, Machine learning, Optimization",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Data Science & Artificial Intelligence,"Health, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Data Scientist, Machine Learning Engineer",University of Waterloo,True,True,True,True -4fb62fc1-97f1-4838-b30d-710ad5a3e175,leye0521@hotmail.com,Yewon,Lee,https://talenthub.vectorinstitute.ai/profiles/2868211/view_image/1650864346060.jpeg,Machine Learning and Robotics Researcher | MSc Student in Computer Science ,,7789262247,,https://yewon-lee.github.io,,https://www.linkedin.com/in/leeyewon/,,False,False,,,,,,linkedin,2022-06-21T20:01:09.531Z,2022-06-23T21:04:18.341Z,True,True,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Florian Shkurti,Winter 2024 (December 2023 - March 2024),,Ms.,https://www.linkedin.com/in/leeyewon/,"Bayesian methods, Computer vision, Deep learning, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,"Manufacturing , Software, Technology (Product Development)","Full Time, Internship","Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True a62c96bd-1a33-44bf-9bc5-2bac44d04d19,justinlo0924@gmail.com,Justin,Lo,https://talenthub.vectorinstitute.ai/profiles/3454315/view_image/1666226547998.jpeg,Software Developer,"I'm currently a software developer at Ontario Teachers' Pension Plan, specializing in data modeling and integration for ETL processes involving financial data. I design database structures, create logical and physical data models, and ensure data integrity and efficiency. With a Master's and Bachelor's degree in Biomedical Engineering from Toronto Metropolitan University, I have a strong foundation in machine learning, data analytics, and statistics. My goal is to leverage technology to solve complex problems and drive innovation in data science and software development.",4166270125,,,,https://www.linkedin.com/in/justinlo0924/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/a62c96bd-1a33-44bf-9bc5-2bac44d04d19/resume,Toronto,Ontario,,Canada,linkedin,2023-05-14T15:49:20.256Z,2023-05-14T15:49:20.599Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/justinlo0924/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Biomedical Engineering,"Education, Financial Services, Health, Retail, Software, Technology (Product Development)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Product/Project Manager, Other ",Ryerson University,True,True,True,True 84b96dd3-9391-403e-bdb5-77aded38d1b9,jummyfdavid@gmail.com,Jummy,David,https://talenthub.vectorinstitute.ai/profiles/2879340/view_image/revised_new_resized.jpg,Mathematical Modelling,"An applied mathematician and mathematical epidemiologist with proven records of teaching and working on disease models and control for a quite number of years. An infection prevention and control expert, great at optimizing policy design to achieve targets for disease elimination as public health concern using different optimization tools for model calibration (Markov chain Monte Carlo, Least squares method) with high level programming skills (Python, Matlab, R, and SQL) and hands-on Machine learning tools (Pandas, Scikit-Learn, Keras, PyTorch, TensorFlow), while using different visualization techniques (Excel, ggplot2 libraries, Matplotlib, plotly and seaborn). ",,,https://jummydavid.com/,,https://www.linkedin.com/in/jummy-david-2a613769/,DavidJummy,True,False,https://canadaai.jobboard.io/api/v1/profiles/84b96dd3-9391-403e-bdb5-77aded38d1b9/resume,,,,,,2022-06-29T01:30:57.176Z,2022-06-29T01:30:57.223Z,False,False,Connected to Vector Research,Yes,Other/Unsure,,Already Graduated,Vector Institute Alumna - ML for Black and Indigenous Program,Dr.,https://www.linkedin.com/in/jummy-david-2a613769/,"Healthcare and/or medical imaging, Optimization, Time-series forecasting and modelling",Postgraduate Degree (PhD),Senior Level (5+ Years),Major in Applied Mathematics,,Contract,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,False,True,True 347ed71a-3226-4c1f-8a30-53d4acd54ba0,yuqic@schulich.yorku.ca,Yuqi,Cai,https://talenthub.vectorinstitute.ai/profiles/3002365/view_image/IMG_7496.jpg,, I joined Amazon in 2021 as an Advertising Support Associate after the completion of my Bachelor's degree in Commerce from McMaster University. I'm currently pursuing my master's degree in Management in Artificial Intelligence at Schulich School of Business.,3658882430,,,,https://www.linkedin.com/in/yuqiicai,,True,False,https://canadaai.jobboard.io/api/v1/profiles/347ed71a-3226-4c1f-8a30-53d4acd54ba0/resume,Toronto,Ontario,,Canada,,2022-09-14T22:08:57.147Z,2022-09-22T05:38:16.175Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Ms.,https://www.linkedin.com/in/yuqi-cai-2bb3971b7/,"Data science, Machine learning, Natural language processing, Online learning",Graduate Degree (Masters),Entry Level (0-2 Years),Management in AI,"Education, Financial Services","Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Scientist",York University,True,True,True,True @@ -1502,88 +1527,87 @@ c3f7eba6-53a9-4c54-b95b-30202e9f976f,sarbjit.parhar@queensu.ca,Sarb,Parhar,https ee7cbd43-3b00-41c6-9e9d-0084d8dadd5b,ethanjunshengwu@gmail.com,Ethan,Wu,https://talenthub.vectorinstitute.ai/profiles/1549528/view_image/0.jpeg,Software Development Engineer,,,,,,https://www.linkedin.com/in/ethan-wu-a47a3822/,,True,False,,Toronto,Ontario,,Canada,linkedin,2019-12-02T22:54:50.954Z,2020-06-03T21:35:26.956Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/ethan-wu-a47a3822/,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Management in Artificial Intelligence,"Retail, Software, Technology (Product Development)",Full Time,,Queen's University,True,True,True,True 6558d333-ddc0-4687-a80f-a6344e0bc89f,jkaur223@uwo.ca,Jasleen Kaur,Saini,https://talenthub.vectorinstitute.ai/profiles/1586984/view_image/MDA_Students_102819_0020.jpg,Data Science enthusiast with 3+ years of software development in B2C E-Commerce currently majoring in artificial intelligence and machine learning methodologies.,"Technology and data enthusiast with zeal to transform information into some useful conclusions and promote learning of sophisticated computer systems to arrive at useful conclusions. Candidate for data analytics with specialization in artificial intelligence, I am expanding my software technology expertise of high-level programming languages like Java and C combined with scripting languages like Javascript, JQuery and database languages like SQL, to contribute in data learning and data modeling using R , python and conceptual knowledge in data consulting.",6477656420,,,,https://www.linkedin.com/in/jasleen-kaur-b29565136/,N6H2B1,True,False,https://canadaai.jobboard.io/api/v1/profiles/6558d333-ddc0-4687-a80f-a6344e0bc89f/resume,London,Ontario,,Canada,,2020-01-06T22:51:28.925Z,2020-03-25T02:50:28.564Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Already Graduated,,Ms.,https://www.linkedin.com/in/jasleen-kaur-saini-b29565136/,,,,Master of Data Analytics - Artificial Intelligence,"Professional Services (e.g Consulting), Software, Technology (Product Development)","Full Time, Internship, Co-op",,Western University,True,True,True,True 6ba6bdfb-02be-46b5-9162-6b76f14320a8,markmbalmes@gmail.com,Jay Mark,Balmes,https://talenthub.vectorinstitute.ai/profiles/2271911/view_image/Screen_Shot_2021-03-16_at_2.34.11_AM.png,Data Scientist - Visualization Specialist,"Mark Balmes is a fusion of a data scientist and a social entrepreneur. He majored in Management Information Systems at Ateneo de Manila University, where he studied on scholarship, and received training from University College London, Sogang University, and Arizona State University. He harnessed his tech skills as a researcher at WWF and at the Philippine Navy. He founded a social enterprise called Empleo, that aims to use advanced technologies such as data analytics in optimizing, and solving employment and poverty issues in the Philippines. His enterprise won Best Social Impact in 2017 in the ASEAN Ricebowl Awards in the Philippines, and was one of the five scale-stage finalists in the ASEAN Impact Challenge in the same year. He has also received awards in business, sports, and programming excellence from various local and international competitions. Among his other accomplishments are admission offer to prestigious MIT Bootcamp, representation in international ASEAN matters, and recognition as one of top 10 Philippine entrepreneurs in 2015. Currently, he is spearheading an ASEAN-wide initiative in capacity building called the ASEAN Capacity Building Network that aims to enhance social impact in training and employment for various minority groups among the current 9 members of the ASEAN. He is also an ambassador to the Philippines to the Young Entrepreneurs community based in the Netherlands, that nurtures the growth of entrepreneurship among the youth of developing countries.",,,,,https://www.linkedin.com/in/mark-balmes/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6ba6bdfb-02be-46b5-9162-6b76f14320a8/resume,Toronto,Ontario,,Canada,,2021-03-15T18:28:09.787Z,2021-03-15T18:28:09.815Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Select an option,Already Graduated,,Mr.,https://www.linkedin.com/in/mark-balmes/,"AI safety, Bayesian methods, Computer vision, Data science, Deep learning, Interpretability, Machine learning, Meta-learning, Online learning, Optimization, Self-supervised learning, Statistical learning theory, Unsupervised learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Mid-Level (3-5 Years),Management Analytics,"Education, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op",,Queen's University,True,True,True,True -c4a1528f-ed8e-46b0-bfda-912d331a4dd9,fahimeh.jt@gmail.com,Fahimeh,Jamshidian Tehrani,https://talenthub.vectorinstitute.ai/profiles/1650732/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-02-22T11:50:38.699Z,2020-02-22T11:50:38.867Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/fahimeh-jamshidian-t/,,Postgraduate Degree (PhD),,,,,,,True,False,True,True -363e32e7-7dc7-47b0-b094-3def7b1f4cc5,mehran.karimzade@gmail.com,Mehran,Karimzadeh,https://talenthub.vectorinstitute.ai/profiles/1649031/view_image/0.jpeg,Machine learning in genomics,,,,,,,mkarimzade,True,False,https://canadaai.jobboard.io/api/v1/profiles/363e32e7-7dc7-47b0-b094-3def7b1f4cc5/resume,,,,,linkedin,2020-02-20T14:19:58.605Z,2020-06-02T14:02:28.089Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Bo Wang,Already Graduated,,Dr.,https://www.linkedin.com/in/mehran-karimzadeh-a4a23533/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Medical Biophysics,"Education, Health",Full Time,,University of Toronto,True,True,True,True -ad0ddc0e-5b1a-45ce-b816-aeffde261df4,zenithkoeru@gmail.com,Zenith,Sun,https://talenthub.vectorinstitute.ai/profiles/1650551/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-02-22T06:15:08.208Z,2020-02-22T06:15:08.398Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/zenith-sun-146709150/,,Graduate Degree (Masters),,MMAI,,,,York University,True,True,True,True -724a8223-6003-4b7c-bffb-2c34ce5b66e4,fzohrasmaili@gmail.com,Fatima Zohra,Smaili,https://talenthub.vectorinstitute.ai/profiles/1810816/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-06-02T12:51:40.913Z,2020-06-02T12:51:41.114Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/fatima-zohra-smaili-665685a4/,,,,,,,,,True,True,True,True -2748c63b-5e94-4da0-b4ec-18034a69f730,hasan_zafari@yahoo.com,Hasan,Zafari,https://talenthub.vectorinstitute.ai/profiles/1655025/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-02-26T22:28:35.769Z,2020-02-26T22:28:35.993Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/hasan-zafari-34ba2533/,,,,,,,,,True,True,True,True -583ffeca-96f6-4679-a632-cfb9eb052ab8,cnshivoh@gmail.com,Shivoh,Chirayil Nandakumar,https://talenthub.vectorinstitute.ai/profiles/1684775/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-03-22T16:46:50.295Z,2020-03-22T16:46:50.575Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/shivoh-chirayil-nandakumar-711b5a87/,,,,,,,,,True,True,True,True -0c51b251-db2f-49d4-a034-547d128e8795,hillary-ngai@hotmail.com,Hillary,Ngai,https://talenthub.vectorinstitute.ai/profiles/1974100/view_image/IMG_20201024_161307_937_2.png,Machine Learning Researcher,"Hillary Ngai is a MSc in Computer Science student at the University of Toronto and the Vector Institute, supervised by Prof. Frank Rudzicz. She recently graduated from Biomedical Engineering at the University of Waterloo and was a data scientist at Ultimate Software in Silicon Valley and Bell Canada in Toronto. Hillary is interested in natural language processing - specifically word embedding models, chatbots, reinforcement learning, out-of-distribution detection, and generative models. She is currently working on a chatbot to stop smoking addiction using GPT-3, a visualization tool to analyze out-of-distribution samples, and a chatbot with memory for patient-doctor interactions.",6478658811,,,,https://www.linkedin.com/in/hillary-ngai/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0c51b251-db2f-49d4-a034-547d128e8795/resume,Toronto,Ontario,,Canada,linkedin,2020-09-11T14:11:57.194Z,2020-12-19T22:46:48.797Z,False,False,Recognized Masters Program,Yes,Student or Postdoc of a Vector Faculty Member,Frank Rudzicz,Already Graduated,,Ms.,https://www.linkedin.com/in/hillary-ngai/,"Anomaly detection, Generative modeling, Healthcare and/or medical imaging",Graduate Degree (Masters),Mid-Level (3-5 Years),First year,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op",,University of Toronto,True,True,True,True -d6699c4c-67f3-4c08-96c4-973e0d6f9777,singh.001jagmeet@gmail.com,Jagmeet Singh,Sidhu,https://talenthub.vectorinstitute.ai/profiles/1576764/view_image/0.jpeg,Data Scientist||Python Developer||Software Developer Looking for Summer 2020 Co-op Positions,"I am a graduate Computer Science Student at Lakehead University, Thunderbay. I am a technical geek with experience in data science libraries and machine learning algorithms. The course included in my curriculum at Lakehead is AI specialized course which will help to enhance and polish my skills. Being a hard worker and a quick learner has been into me from a young age. I have been an intern at Cadence where I had a wonderful experience of software development. My technical and interpersonal skills got really enhanced at Cadence. -Technical Skills: -Languages- Python, C/C++, Java, Javascript, HTML/CSS -Framework- Django, Flask, PyTorch, TensorFlow -Databases- SQL, MySql, MongoDB -Working Environment - Windows, Linux, Git(Version control) -Libraries - Numpy, Pandas, Data Visualization, Keras, Scikit-Learn -Currently, I am looking for co-up positions in the field of Data Science/ Software Development. My objective is to pursue a dynamic and challenging career in a growth-oriented company and contribute to the development of the organization along with upgrading my skills and knowledge.",8073579575,,,,https://www.linkedin.com/in/jagmeetsinghsidhu,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d6699c4c-67f3-4c08-96c4-973e0d6f9777/resume,,,,,linkedin,2019-12-29T22:51:42.004Z,2019-12-29T22:51:42.221Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,CA,Already Graduated,,Mr.,https://www.linkedin.com/in/jagmeetsinghsidhu,,Graduate Degree (Masters),,Computer Science,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Internship, Co-op",,Lakehead University,True,True,True,True -b7a6f04e-c141-4f05-b7ef-81a824779abc,rajshreedaulatabad@gmail.com,Rajshree,Daulatabad,https://talenthub.vectorinstitute.ai/profiles/1582205/view_image/linkedin.jpg,Experienced IT professional looking to develop/lead AI projects,"I am currently pursuing my Masters in Computer Science, specializing in Machine Learning/Deep Learning from York University. My master's research project is ""Thyroid nodule segmentation and tracking in 2D ultrasound images and videos"". (Medical Imaging domain) -I have more than 10 years of experience in technical and business system analysis within Capital Markets domain with expertise in programming, data analysis, business analysis and problem solving skills. I have worked in back office, front office and reference data systems and integrations across all these components. -I have an unique combination of technical as well as business analysis skills with ability of integrating them for providing best IT solutions. ",6477833436,,,,https://www.linkedin.com/in/rajshree-daulatabad/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b7a6f04e-c141-4f05-b7ef-81a824779abc/resume,Mississauga,Ontario,,Canada,linkedin,2020-01-04T11:21:58.517Z,2020-09-18T18:06:47.062Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,Ontario,Already Graduated,,Mrs.,https://www.linkedin.com/in/rajshree-daulatabad/,,Graduate Degree (Masters),Senior Level (5+ Years),Machine Learning/Deep Learning,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Contract",,York University,True,True,True,True -9dd335ba-97cd-4f53-8ade-ad105eab1049,abhinav.chanana@gmail.com,Abhinav,Chanana,https://talenthub.vectorinstitute.ai/profiles/1576991/view_image/0.jpeg,Student @ UWaterloo,Currently pursuing Masters in Data Science and AI. I have a 2-year of work experience working as a Software engineer. Love for Distributed Systems,5197297622,,,,,,True,False,,Waterloo,Ontario,,Canada,linkedin,2019-12-30T09:28:08.761Z,2020-01-16T19:54:37.933Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,,,Mr.,https://www.linkedin.com/in/abhinav-chanana-7a5a32b3/,,,,Master in Data Science and Artificial Intelligence,"Software, Technology (Information and Media), Technology (Product Development)","Internship, Co-op",,University of Waterloo,True,True,True,True -9a5c27c3-b925-479c-bafc-302195fbb261,wajeehsheikh92@gmail.com,Wajeeh,Sheikh,https://talenthub.vectorinstitute.ai/profiles/1573217/view_image/0.jpeg,Software Student ,"I am a motivated sales professional aspiring to consult businesses and transform companies with innovative industry and technical solutions. From pursuing a marketing degree to learning software development, my passion lies in sales, consulting and all things tech. Robust team collaborative and interpersonal skills have fueled my passion for working in a corporate environment.",6478968104,,,,,,True,False,,Toronto,Ontario,,Canada,linkedin,2019-12-23T19:28:16.040Z,2019-12-23T19:28:16.273Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,,,Mr.,https://www.linkedin.com/in/wajeeh-sheikh/,,,,Bachelor of Technology - Software Development,"Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Internship, Co-op",,Other,True,False,True,True -5b1a2dc9-71f3-4621-939c-586b9560fd1d,umair.hafizak@gmail.com,Hafiza,Umair,https://talenthub.vectorinstitute.ai/profiles/1944059/view_image/Profile.jpeg,Data Analyst / AI Project Manager / Data Scientist,"An analytical thinker equipped with strong technical skills to draw conclusions and strategies from complex data. Over 7 years of experience in the IT industry, both in public and private sectors, delivering analytical and project management solutions.",,,,,https://www.linkedin.com/in/hafizaumair/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5b1a2dc9-71f3-4621-939c-586b9560fd1d/resume,Toronto,Ontario,,Canada,,2020-08-20T16:44:21.260Z,2021-09-23T02:30:27.722Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/hafizaumair/,"Data science, Healthcare and/or medical imaging, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management in AI (MMAI),"Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Full Time, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Product/Project Manager",Queen's University,True,True,True,True -8bfe26b2-5686-43c4-9bc5-833a91f37988,mane.piliposyan@gmail.com,Mane,Piliposyan,https://talenthub.vectorinstitute.ai/profiles/2839308/view_image/1613471693806.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-06-02T17:47:23.817Z,2022-06-02T17:47:24.366Z,False,False,Vector Scholarship Recipient,Yes,,,,,,https://www.linkedin.com/in/manepiliposyan/,,,,,,,,,True,True,True,True -33be45e4-df71-4a0f-8221-ebb584d383fc,hammad.fahim57@gmail.com,Hammad,Fahim,https://talenthub.vectorinstitute.ai/profiles/2815710/view_image/1567684040703.jpeg,,,,,https://scholar.google.com/citations?user=vuIsiIsAAAAJ&hl=en,,https://www.linkedin.com/in/hammad-fahim-901365140/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/33be45e4-df71-4a0f-8221-ebb584d383fc/resume,,,,,linkedin,2022-05-17T16:30:15.171Z,2022-05-17T16:37:26.941Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Spring/Summer 2023 (April - July),PhD student at uOttawa,Mr.,https://www.linkedin.com/in/hammad-fahim-901365140/,"Data science, Deep learning, Natural language processing",Postgraduate Degree (PhD),Entry Level (0-2 Years),Computer Science,Type of Work is More Important to me than Sector,Internship,"Data Scientist, Machine Learning Researcher/Scientist , Software Engineer",University of Ottawa,True,False,True,True -f3f91912-9124-4d1e-a99b-d3a21d887472,melissa.mccorriston@gmail.com,Melissa,McCorriston,https://talenthub.vectorinstitute.ai/profiles/1523154/view_image/0.jpeg,Data Scientist,,9055060325,,,,https://www.linkedin.com/in/mccorriston/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f3f91912-9124-4d1e-a99b-d3a21d887472/resume,Richmond Hill,Ontario,,Canada,linkedin,2019-11-15T16:55:22.461Z,2020-09-22T23:00:50.053Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Miss.,https://www.linkedin.com/in/mccorriston/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master's in Data Science & Artificial Intelligence,"Financial Services, Public Administration (i.e Gov't), Retail","Internship, Co-op",,University of Waterloo,True,True,True,True -c87fe7f5-7a1e-4867-b786-93dedbf6ba76,mohammadraza.pr@gmail.com,Mohammad,Raza,https://talenthub.vectorinstitute.ai/profiles/1806241/view_image/0.jpeg,Analytics & Data Science Associate,I like to solve challenging data problems to reveal actionable business decisions,6478337641,,http://moeraza.io,,https://www.linkedin.com/in/moeraza/,,True,False,,Toronto,Ontario,,Canada,linkedin,2020-05-28T14:21:16.180Z,2020-05-28T14:21:16.437Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/moeraza/,,Graduate Degree (Masters),Entry Level (0-2 Years),Chemistry / MMAI,"Construction or Infrastructure, Manufacturing , Professional Services (e.g Consulting), Technology (Product Development)","Full Time, Contract, Capstone Project",,Queen's University,True,True,True,True -488b5aaf-0be8-4f39-b169-6087dffa9363,yani.ioannou@gmail.com,Yani A.,Ioannou,https://talenthub.vectorinstitute.ai/profiles/2093265/view_image/0.jpeg,"Research Scientist, Computer Vision/Deep Learning, U. Cambridge PhD, Google, Microsoft Research","I was most recently a Visiting Researcher (PostDoc) at Google Brain Toronto/ARCore, Sessional Lecturer at the University of Toronto, and a Research Scientist at Wayve. -I completed my PhD at the University of Cambridge in Oct. 2018, where I was supervised by Professor Roberto Cipolla, head of the Computer Vision and Robotics group in the Machine Intelligence Lab, and Dr. Antonio Criminisi. My PhD was supported by a Microsoft Research Ph.D. Scholarship and I collaborated with researchers at Microsoft Research Cambridge (UK) extensively. -I am currently interested in efficient deep learning, specifically sparse neural networks, and their application to problems in computer vision. I have in the past worked on 3D computer vision, towards methods for processing and recognizing objects in large point clouds. -Outside of research, I've worked on open source projects such as the Linux kernel and the Point Cloud Library (PCL).",,,https://yani.ai,,https://www.linkedin.com/in/yanii/,yanii,True,False,https://canadaai.jobboard.io/api/v1/profiles/488b5aaf-0be8-4f39-b169-6087dffa9363/resume,Toronto,Ontario,,Canada,linkedin,2020-10-10T03:26:59.715Z,2021-04-13T16:00:58.036Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,,Already Graduated,Most recently Visiting Researcher (PostDoc) @Google Toronto,Dr.,https://www.linkedin.com/in/yanii/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Ph.D. Information Engineering (University of Cambridge),"Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,,Other,True,True,True,True -7e80ce05-43b3-4ba5-94c9-7bbaa68bae82,hsanjayp@uwo.ca,Harini,Sanjay Pathak,https://talenthub.vectorinstitute.ai/profiles/2110692/view_image/WhatsApp_Image_2020-10-19_at_11.45.53_AM.jpeg,Graduate Research Assistant,"Seeking an opportunity to leverage my niche in data mining and analysis to gain -expertise in machine learning. Pursuing a Master's degree in Computer Science at Western University, Ontario.",2265033292,,,,https://www.linkedin.com/in/harinipathak-693131173,,True,False,https://canadaai.jobboard.io/api/v1/profiles/7e80ce05-43b3-4ba5-94c9-7bbaa68bae82/resume,London,Ontario,,Canada,,2020-10-23T13:10:35.026Z,2020-11-30T16:30:12.730Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,ON,Already Graduated,,Miss.,https://www.linkedin.com/in/harinipathak-693131173,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Science in computer science,"Education, Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract",,Western University,True,True,True,True -b9f14547-74ff-47ec-98ef-9dde650e3989,ychow@lakeheadu.ca,Yik Lun,CHOW,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Graduate Student,"I'm a master student in Department of Computer Science at Lakehead University (LU), Ontario, Canada, supervised by Prof. Yimin Yang . I also serve as a graduate assistant for courses, such as Computer Programming and Mobile Application. Before joining LU, I received my bachelor degree in electric engineering, major in Information Engineering at City University of Hong Kong.",,,https://terenceylchow124.github.io/,,https://www.linkedin.com/in/terence-chow-48a61b1b2,,True,True,https://canadaai.jobboard.io/api/v1/profiles/b9f14547-74ff-47ec-98ef-9dde650e3989/resume,Thunder Bay,Ontario,,Canada,,2021-01-25T21:22:47.290Z,2021-01-28T16:53:34.137Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Dr. Yimin Yang,Already Graduated,,Mr.,https://www.linkedin.com/in/terence-chow-48a61b1b2,"Computer vision, Deep learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Computer Science (Thesis-based: AI Specialization),"Financial Services, Health, Software, Technology (Information and Media)","Full Time, Internship, Contract",,Lakehead University,True,False,True,True -797f7168-b402-4317-923c-c9e412bb5155,amitsaini131291@gmail.com,Amit,Saini,https://talenthub.vectorinstitute.ai/profiles/2264858/view_image/1569014602109.jpeg,Experienced Software Engineer/ Data Analyst,"I am a dynamic and innovative data analyst/software engineer with 6+ years of working in top MNC’s. I have a strong mathematical and analytical background with expertise in data processing, data mining, and predictive modeling algorithms. I believe that my diverse experiences will help me to analyze and solve the problems from a different angle. -Data Science Skills: -• Python: Pandas, NumPy, Seaborn, Matplotlib, Scikit-learn, Tensorflow, Keras -• Data Visualization: Tableau, SAS, Python (Matplotlib, Seaborn) -• Supervised Machine Learning: Regression (Linear, Ridge, Lasso), Classification (Logistic Regression, Decision Tree, K-Nearest Neighbors, SVM) -• Unsupervised Machine Learning: K-means clustering, Hierarchical clustering, DBSCAN Clustering -• Ensemble Techniques: Bagging (Random Forest), Boosting (AdaBoost, XgBoost) -• Natural Language Processing (NLP): Stemming, Lemmatization, BoW, TF-IDF, Word2Vec -• Statistical Analysis: Descriptive Statistics, Inferential Statistics (ttest, anova, chi-square, correlation) -• Deep learning: ANN, CNN, RNN, LSTM, GRU, Hyperparameters Tuning",4379706821,,https://github.com/mr-amit-saini,,https://www.linkedin.com/in/mr-amit-saini/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/797f7168-b402-4317-923c-c9e412bb5155/resume,Toronto,Ontario,,Canada,linkedin,2021-03-10T20:04:31.117Z,2021-03-10T20:04:31.337Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,I am not associated with Vector Institute currently.,Mr.,https://www.linkedin.com/in/mr-amit-saini/,"Anomaly detection, Data science, Machine learning, Natural language processing",Undergraduate Degree (Bachelors),Senior Level (5+ Years),Digital Marketing,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Product Development)","Full Time, Internship, Contract",,York University,True,True,True,True -3d53e070-095d-48ec-895c-04a29990b4e7,justin.tomasi@mail.utoronto.ca,Justin,Tomasi,https://talenthub.vectorinstitute.ai/profiles/2110680/view_image/justin_275.jpg,M.A.Sc Aerospace Engineering/Robotics,"Hello! -My name is Justin and I recently completed a master's degree in aerospace engineering in the Space and Terrerstrial Autonomous Robotic Systems Lab at the University of Toronto. My research focused on improving the robustness of visual perception systems for autonomous vehciles in dynamic lighting conditions. I am actively seeking employment in the autonomous vehicle and robotics industries. ",,,,,https://www.linkedin.com/in/justintomasi/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3d53e070-095d-48ec-895c-04a29990b4e7/resume,,,,,,2020-10-23T13:10:33.551Z,2021-01-22T19:56:38.319Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Dr. Jonathan Kelly,Already Graduated,,Mr.,https://www.linkedin.com/in/justintomasi/,,Graduate Degree (Masters),Entry Level (0-2 Years),Aerospace Engineering,Software,"Full Time, Internship",,University of Toronto,True,True,True,True -5a77df83-a1f9-493f-a44d-2e093429d9d6,justin.gerolami@queensu.ca,Justin,Gerolami,https://talenthub.vectorinstitute.ai/profiles/2190205/view_image/1516872403278.jpeg,Recent MSc Graduate,"Justin recently graduated from Queen’s University with a MSc in Computer Science and a focus on AI and medicine. Prior to that, Justin graduated with an HBSc in Computer Science with specialization in Biomedical Computing. His passion is machine learning and the use of AI to better the everyday lives of Canadians. ",,,,,https://www.linkedin.com/in/justin-gerolami,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5a77df83-a1f9-493f-a44d-2e093429d9d6/resume,Kingston,Ontario,,Canada,linkedin,2021-01-14T06:51:46.922Z,2021-08-25T15:57:43.493Z,False,False,Recognized Masters Program,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/justin-gerolami/,"Deep learning, Healthcare and/or medical imaging, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,"Education, Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Queen's University,True,True,True,True -4ca7317b-03ad-4ad9-a576-e51ba5a7f886,preyedavis@gmail.com,Preye,Davis,https://talenthub.vectorinstitute.ai/profiles/2209545/view_image/1577973965795.jpeg,Aspiring Data Analyst,"I am a Master candidate focusing on Management Analytics at Smith School of Business (Queen's University) and have prior experience of 3 years in the supply chain and inventory management. I am a focused problem solver, constantly trying to streamline processes and generate efficiency. -Keen to employ novel methodologies to produce innovative solutions, I like to keep myself abreast of latest industry and market trends. I am also fond of travelling and working out. -Specialties: Supply Chain, Analytical Skills, Economics, Business Development, Detail Oriented, Process Optimization, Tax, Communication Skills, Conceptual Thinking, Leadership, Reasoning Skills, Relationship Management.",2267531557,,,,https://www.linkedin.com/in/preyedavis/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4ca7317b-03ad-4ad9-a576-e51ba5a7f886/resume,,,,,linkedin,2021-01-29T00:54:25.910Z,2021-01-29T00:54:26.149Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mrs.,https://www.linkedin.com/in/preyedavis/,"Data science, Machine learning, Time-series forecasting and modelling, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Management Analytics,Type of Work is More Important to me than Sector,Full Time,Data Analyst,Queen's University,True,True,True,True -0dcffab3-b9f7-463e-b726-27882bae78ca,victor.mouquin@gmail.com,Victor,Mouquin,https://talenthub.vectorinstitute.ai/profiles/2115174/view_image/0.jpeg,Mathematician and Machine learning scientist,,,,,,https://www.linkedin.com/in/victor-mouquin/,,True,False,,Toronto,Ontario,,Canada,linkedin,2020-10-28T12:00:51.512Z,2021-02-02T14:53:03.868Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,,Mr.,https://www.linkedin.com/in/victor-mouquin/,,Postgraduate Degree (PhD),Entry Level (0-2 Years),Mathematics,"Financial Services, Health, Public Administration (i.e Gov't), Retail, Type of Work is More Important to me than Sector",Full Time,,Other,True,True,True,True -91809a57-3225-40cf-b98f-dfb0eec9f0b2,heyuehuan@qq.com,岳寰,何,https://talenthub.vectorinstitute.ai/profiles/1970937/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-09-09T00:10:50.552Z,2020-09-09T00:10:50.822Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,True,True,True -733b678f-fa4c-46f6-a391-a432751d262b,doug.shi-dong@mail.mcgill.ca,Doug,Shi-Dong,https://talenthub.vectorinstitute.ai/profiles/2193658/view_image/1610646112351.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-01-16T19:15:02.839Z,2021-01-16T19:15:03.183Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/doug-shi-dong-31214b94/,,,,,,,,,True,False,True,True -03b0cee9-f814-4aa6-8729-c0d5e6c44691,parthvora@hotmail.com,Parth,Vora,https://talenthub.vectorinstitute.ai/profiles/2106534/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-10-19T17:16:05.593Z,2020-10-19T17:16:05.778Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/parth-vora-944908a1/,,,,,,,,,True,True,True,True -a3ec650f-6597-4c1c-a545-58a76727f768,abraham.daniels@queensu.ca,Abraham,Daniels,https://talenthub.vectorinstitute.ai/profiles/2624580/view_image/Abe.jpeg,Experienced Omnia AI Manager ,"Abraham is a Manager in Deloitte’s Omnia AI practice. Abraham has over 8 years of experience working in the public and private domain and brings a strong background in intelligent automation, with a focus on operational efficiency and technical implementation. -Abraham has a Bachelor of Commerce from the University of Saskatchewan and is currently completing his Master’s in Management AI at the Smith School of Business, Queens University. Abraham is a results-driven practitioner, with a keen focus on organizational efficiency, process optimization, and end-user adoption",4313881689,,,,https://www.linkedin.com/in/abraham-daniels/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a3ec650f-6597-4c1c-a545-58a76727f768/resume,,,,,,2021-12-22T19:56:27.762Z,2021-12-28T00:38:43.627Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,linkedin.com/in/abraham-daniels/,,Graduate Degree (Masters),Senior Level (5+ Years),AI,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Product/Project Manager, Other ",Queen's University,True,False,True,True -8f65e4ad-a4d7-4094-ac1b-c16850d109da,vamsi.batchu88@gmail.com,Vamsi,Batchu,https://talenthub.vectorinstitute.ai/profiles/2385750/view_image/1517617347776.jpeg,Experience Data Science Analytics professional,"Experienced in Analyzing huge data sets and find Business Insights using tools like Python, SQL, R, Tableau. I have both geometrical and mathematical intuition on Machine Learning and Deep Learning algorithms",4165540878,,,,https://www.linkedin.com/in/vamsi-batchu/,,True,False,,Toronto,Ontario,,Canada,linkedin,2021-06-05T04:24:55.007Z,2021-06-05T04:24:55.216Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/vamsi-batchu/,,Graduate Degree (Masters),Senior Level (5+ Years),Masters of Management in Artificial Intelligence,"Construction or Infrastructure, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Full Time, Internship, Co-op","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",Queen's University,True,True,True,True -219c6f29-65cf-4bef-81eb-459f0ff98ed7,ibmcsecu@gmail.com,Ibrahim Mohammed,Sayem,https://talenthub.vectorinstitute.ai/profiles/2346429/view_image/125861-.jpg,,,5198515434,,,,,,True,False,,,,,,,2021-05-06T05:32:58.079Z,2021-10-15T18:31:33.124Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,Currently I am not associated with Vector Institute,Mr.,https://www.linkedin.com/in/ibrahim-mohammed-sayem-928a1510b/,"AI safety, Data science, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),M.Sc. in Computer Science,"Education, Financial Services, Public Administration (i.e Gov't), Software, Telecommunications, Transportation",Internship,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Western University,True,True,True,True -331566ea-c2d4-4c1b-a963-7da4348a51fe,ofirshmulevich@gmail.com,Offir,Shmulevich,https://talenthub.vectorinstitute.ai/profiles/2444835/view_image/1611084798139.jpeg,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/331566ea-c2d4-4c1b-a963-7da4348a51fe/resume,,,,,linkedin,2021-07-23T06:23:16.431Z,2021-07-23T06:23:16.575Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,Referend by a common connection,Mr.,https://www.linkedin.com/in/offirshm/,"Deep learning, Meta-learning, Time-series forecasting and modelling",Undergraduate Degree (Bachelors),Senior Level (5+ Years),Bio medical engineering,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,False,True,True -532a1aa3-9c6e-4f1d-a22c-db90a7542165,basmammahdy@gmail.com,Basma,Mahdy,https://talenthub.vectorinstitute.ai/profiles/1560295/view_image/0.jpeg,MSc student,,3433336460,,,,https://www.linkedin.com/in/basma-mahdy,,True,False,https://canadaai.jobboard.io/api/v1/profiles/532a1aa3-9c6e-4f1d-a22c-db90a7542165/resume,Kingston,Ontario,,Canada,linkedin,2019-12-11T05:37:30.930Z,2019-12-11T15:20:50.742Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,ON,,,Miss.,https://www.linkedin.com/in/basma-mahdy,,,,Electrical and Computer Engineering,,"Full Time, Internship",,Queen's University,True,True,True,True -50fa8c46-2f2f-4ecb-806a-ae5a759a7d37,jingjun.chen@mail.mcgill.ca,Jingjun(Victor),Chen,https://talenthub.vectorinstitute.ai/profiles/2444663/view_image/1584638520007.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-07-23T00:09:23.329Z,2021-07-23T00:09:23.529Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/jingjun-victor-chen/,,,,,,,,,True,True,True,True -d6d540d6-d918-48e6-882b-72ebf0bbce42,nilakjhc@gmail.com,Nilakshan,Kunananthaseelan,https://talenthub.vectorinstitute.ai/profiles/2301288/view_image/1517499582795.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-04-05T13:48:24.666Z,2021-04-05T13:48:24.820Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/knilakshan20/,,,,,,,,,True,False,True,True -657f8f4a-03dd-4cd6-a15b-6a18e5747621,c36fu@uwaterloo.ca,Chuck,"Fu, MMath",https://talenthub.vectorinstitute.ai/profiles/2327616/view_image/1575432624952.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-04-22T12:18:07.593Z,2021-04-22T19:52:26.629Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/chuck-fu/,,,,,,,,,True,True,True,True -0f8e4605-517a-4d18-a5c8-e8af516a0f8e,raphaelletseng@gmail.com,Raphaëlle,Tseng,https://talenthub.vectorinstitute.ai/profiles/2449701/view_image/1611332941318.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-07-28T02:24:50.885Z,2021-07-28T02:24:51.099Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/rapha%C3%ABlletseng/,,,,,,,,,True,True,True,True -256ae919-129f-4c9b-8781-035ccd92eff6,desiremanatse@gmail.com,DESIRE,MANATSE,https://talenthub.vectorinstitute.ai/profiles/2359243/view_image/1611688523507.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-05-16T05:01:08.735Z,2021-05-16T05:01:09.062Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/desire-manatse-75b68342/,,,,,,,,,True,True,True,True -95995d73-b131-4b3b-b1fc-c59cf6171318,vamsilingamaneni@live.ca,Vamsi,Lingamaneni,https://talenthub.vectorinstitute.ai/profiles/2438678/view_image/1581981960716.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-07-17T07:06:11.590Z,2021-07-17T07:06:11.763Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/vamsi-lingamaneni/,,,,,,,,,True,False,True,True -062b05e8-7dca-46da-bfab-25251ef84445,singhalsoumye@gmail.com,Soumye,Singhal,https://talenthub.vectorinstitute.ai/profiles/2276943/view_image/1572942382220.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-03-18T16:47:10.955Z,2021-03-19T22:53:35.803Z,False,False,Connected to Another AI Institute,Yes,,,,,,https://www.linkedin.com/in/singhalsoumye/,,,,,,,,,True,True,True,True -3350b475-69c7-438b-bcde-9d0dddb5e35d,xwang842@uwo.ca,Xindi ,Wang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Experienced NLP Researcher,"I am a second year PhD student at the University of Western Ontario and Vector Institute. My research interests mostly lie in natural language processing in clinical domain, especially in utilizing knowledge graph/graph theory to solve practical problems in healthcare. -",,,https://www.csd.uwo.ca/~xwang842/,,https://www.linkedin.com/in/xindi-wang-694a4998/,,True,True,https://canadaai.jobboard.io/api/v1/profiles/3350b475-69c7-438b-bcde-9d0dddb5e35d/resume,Toronto,Ontario,,Canada,,2020-10-09T09:45:06.587Z,2022-03-31T09:39:07.629Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,"Frank Rudzicz, Robert E. Mercer",Winter 2024 (December 2023 - March 2024),,Miss.,https://www.linkedin.com/in/xindi-wang-694a4998/,,Postgraduate Degree (PhD),Entry Level (0-2 Years),Computer Science,"Education, Financial Services, Health, Professional Services (e.g Consulting)","Internship, Co-op","Data Scientist, Machine Learning Researcher/Scientist ",Western University,True,True,True,True -cc127158-70f4-4867-bae9-e6dfd67be000,0shp34@gmail.com,Suhyeon,Park,https://talenthub.vectorinstitute.ai/profiles/1944527/view_image/t-cardpic.jpg,,I am a Registered Nurse looking forward towards a career in Health Informatics. This career change was driven by my interest in the potential of AI and virtual healthcare to optimize home healthcare and nursing. ,,,,,,,True,False,,Toronto,Ontario,,Canada,,2020-08-21T00:16:49.589Z,2020-08-21T00:16:49.615Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/suhyeon-sue-park-0296b01b6/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Health Informatics 2022,"Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't)",Co-op,,University of Toronto,True,True,True,True +814257b4-ba55-4403-837a-e5d42b231f2e,yizhe.wen.nick@gmail.com,YIZHE,WEN,https://talenthub.vectorinstitute.ai/profiles/1586284/view_image/0.jpeg,,"Energetic and result-driven data scientist and machine learning researcher; devoted to applying state-of-the-art research results to the production environment and solve open questions; experienced in researching and deploying NLP models especially for Natural Language Generation task (i.e. Abstractive Text Summarization, NLG Evaluation, etc.). +Specialty: Data Analytics, Supervised Machine Learning, NLP. ",5197028424,,,,https://www.linkedin.com/in/yizhe-nick-wen-17a064194/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/814257b4-ba55-4403-837a-e5d42b231f2e/resume,Toronto,Ontario,,Canada,linkedin,2020-01-06T17:20:21.058Z,2020-01-15T00:47:22.310Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/yizhe-nick-wen-17a064194/,,Graduate Degree (Masters),Entry Level (0-2 Years),"Master of Data Analytics, Artificial Intelligence","Financial Services, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Contract",,Western University,True,True,True,True +35f490ee-4236-4369-9db4-fb26e0ffcb72,livne.micha@gmail.com,Micha,Livne,https://talenthub.vectorinstitute.ai/profiles/1546509/view_image/0.jpeg,"AI Researcher, with expertise in machine learning, computer vision, and physical simulations.","Micha is a machine learning researcher, focusing on latent variable models, representation learning, Bayesian inference, and semi-supervised/unsupervised learning. +He recently graduated his PhD under the supervision of prof. David Fleet in the Department of Computer Science at University of Toronto, and in the Vector Institute, Toronto. +Micha has been working on machine learning, computer vision, physical inference, and optimization problems for the better part of the last decade. +In the past, he focused mainly on 3D video tracking combined with physical models. +Currently he has been focusing on representation learning, generative models, Bayesian modelling (always go Bayesian!), +and in particular the Mutual Information Machine (MIM). MIM is trained with a new symmetric variational inference, +which learns a latent representation with high mutual information, and low marginal entropy. +Importantly, MIM is not prone to suffer from posterior collapse, unlike VAEs. +If you use VAE, you might find MIM useful! I am always looking for interesting collaborations. +",+1 (647) 278-0303,,http://livne.seraphlabs.ca/,,https://www.linkedin.com/in/micha-livne-07136129/,micha_livne,True,False,https://canadaai.jobboard.io/api/v1/profiles/35f490ee-4236-4369-9db4-fb26e0ffcb72/resume,Toronto,Ontario,,Canada,linkedin,2019-12-02T20:04:29.831Z,2020-10-21T21:58:17.999Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,"David Fleet, Geoffrey Hinton",Already Graduated,,Dr.,https://www.linkedin.com/in/micha-livne-07136129/,,Postgraduate Degree (PhD),Senior Level (5+ Years),"PhD in CS (Machine Learning, Computer Vision)","Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Contract",,University of Toronto,True,True,True,True +2b7a37ae-9fed-4772-9310-2e8000937cf0,vinodgutta@outlook.com,Vinod,Gutta,https://talenthub.vectorinstitute.ai/profiles/1604846/view_image/0.jpeg,Recent graduate,I am a MASc graduate in Computer Engineering with expertise in computer vision and Image processing. I am interested to learn and apply my knowledge to develop advance technologies.,613-867-8940,,,,https://www.linkedin.com/in/vinod-gutta/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2b7a37ae-9fed-4772-9310-2e8000937cf0/resume,Ottawa,Ontario,,Canada,linkedin,2020-01-16T19:39:09.478Z,2020-08-24T12:59:24.627Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/vinod-gutta/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Electrical and Computer Engineering,"Health, Software, Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,,University of Ottawa,True,True,True,True +538eb380-21f8-4f61-a36e-f6377a9e9683,negrea@utstat.toronto.edu,Jeffrey,Negrea,https://talenthub.vectorinstitute.ai/profiles/2090789/view_image/0.jpeg,PhD Candidate,"Vanier Scholar, working on Statistical Learning Theory, Online Learning, Monte Carlo Methods, and Applied Probability",,,http://utstat.toronto.edu/~negrea/,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/538eb380-21f8-4f61-a36e-f6377a9e9683/resume,Toronto,Ontario,,Canada,linkedin,2020-10-07T15:28:54.168Z,2020-10-07T18:54:11.606Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Daniel M. Roy,Already Graduated,,Mr.,https://www.linkedin.com/in/jeffrey-negrea-17316a49/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Statistical Sciences,Type of Work is More Important to me than Sector,Internship,,University of Toronto,True,True,True,True +4b40d552-212a-4a8e-94cb-8b893cb0324b,nina.xinyu.wang@gmail.com,Nina,Wang,https://talenthub.vectorinstitute.ai/profiles/1549590/view_image/0.jpeg,Senior Consultant at Myers-Holum | Oracle NetSuite Certified Consultant & Administrator,,6476806585,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4b40d552-212a-4a8e-94cb-8b893cb0324b/resume,Toronto,Ontario,,Canada,linkedin,2019-12-02T23:40:14.179Z,2019-12-06T19:17:39.504Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Miss.,https://www.linkedin.com/in/nina-wang-08b39851/,,,,Master of Management in Artificial Intelligence,"Retail, Telecommunications","Full Time, Capstone Project",,Queen's University,True,True,True,True +451243aa-bc92-4885-9fe8-0b35bd6f4fcf,shivam.s.kalra@gmail.com,Shivam,Kalra,https://talenthub.vectorinstitute.ai/profiles/1897807/view_image/0.jpeg,,,,,,,https://www.linkedin.com/in/shivamkalra,ShivamSkalra,True,False,https://canadaai.jobboard.io/api/v1/profiles/451243aa-bc92-4885-9fe8-0b35bd6f4fcf/resume,,,,,linkedin,2020-07-30T22:47:38.186Z,2020-09-10T09:05:17.550Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Prof. Hamid Tizhoosh,Already Graduated,,Mr.,https://www.linkedin.com/in/shivamkalra,,Postgraduate Degree (PhD),Senior Level (5+ Years),Systems Design Engineering,"Education, Health, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Contract",,University of Waterloo,True,True,True,True +0568e4cc-a97e-4f36-ae5f-1e849128fe20,fundaramola2013@gmail.com,Funto,Daramola,https://talenthub.vectorinstitute.ai/profiles/2085566/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-10-02T14:04:20.771Z,2020-10-02T14:04:21.007Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/funto-daramola-73b7a8155/,,Graduate Degree (Masters),Entry Level (0-2 Years),MSc. Computer Science,"Health, Software, Technology (Product Development)",Internship,,Lakehead University,True,True,True,True +e4d21ea4-0c5d-4dae-be25-0424afc2c27e,alex_chalita1999@hotmail.com,Alex,Chalita,https://talenthub.vectorinstitute.ai/profiles/1572276/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-22T15:41:55.280Z,2019-12-22T15:41:55.447Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/alexchalita/,,,,,,,,,True,False,True,True +f3e07264-bdc1-4a71-9997-ab1d774e6dc8,addison.weatherhead@mail.utoronto.ca,Addison,Weatherhead,https://talenthub.vectorinstitute.ai/profiles/2481215/view_image/E19CEDAF-C215-43A2-BEE3-41F01C361BED.jpeg,,"Hey there! +I'm currently going into my third year of undergrad at UofT studying Computer Science. I'm very interested in ML research, specifically applied to domains that can have significant positive effects on peoples lives (e.g. health). +I'm currently looking for PEY Co-Op (https://web.cs.toronto.edu/undergraduate/pey) positions starting summer 2022, and lasting 12-16 months.",2075183668,,https://addisonweatherhead.com,,https://www.linkedin.com/in/addison-weatherhead-293823b1/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f3e07264-bdc1-4a71-9997-ab1d774e6dc8/resume,Toronto,Ontario,,Canada,,2021-08-24T21:26:33.268Z,2021-08-31T21:41:10.331Z,False,False,Connected to Vector Research,Yes,Other/Unsure,Anna Goldenberg,Spring/Summer 2023 (April - July),I'm an undergraduate working in Anna Goldenberg's lab,Mr.,https://www.linkedin.com/in/addison-weatherhead-293823b1/,"Computational biology, Deep learning, Healthcare and/or medical imaging, Machine learning, Representation learning, Self-supervised learning, Statistical learning theory, Time-series forecasting and modelling, Unsupervised learning, Wearable technology and/or Internet of Things",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science,"Education, Health","Internship, Co-op",Machine Learning Researcher/Scientist ,University of Toronto,True,True,True,True +19bb1ded-3c0b-4c2a-9987-c53ae66b3fce,bhull113@uwindsor.ca,Amangel,Bhullar,https://talenthub.vectorinstitute.ai/profiles/2624617/view_image/IMG_1974.jpg,Data Analysis | Data Science | Machine Learning Engineer,,4379922009,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/19bb1ded-3c0b-4c2a-9987-c53ae66b3fce/resume,Windsor,Ontario,,Canada,,2021-12-22T19:56:57.631Z,2021-12-24T15:09:44.897Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Miss.,https://www.linkedin.com/in/amangelbhullar/,"Adversarial learning, AI safety, Anomaly detection, Bayesian methods, Bioinformatics, Computational biology, Computer vision, Data science, Deep learning, Fairness, Few-shot learning, Game theory, Gaussian processes, Generative modeling, Graphical models, Healthcare and/or medical imaging, Interpretability, Law, ethics and policy, Machine learning, Meta-learning, Natural language processing, Neuroscience, Online learning, Optimization, Physics, Privacy, anonymity, and/or security, Quantum computing, Recommender systems, Reinforcement learning, Representation learning, Robotics, Self-supervised learning, Statistical learning theory, Time-series forecasting and modelling, Transfer learning, Unsupervised learning, Wearable technology and/or Internet of Things",Postgraduate Degree (PhD),Entry Level (0-2 Years),Computer Science,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",University of Windsor,True,True,True,True +d1d56041-e396-432e-80f7-dd1333188d21,manisha29may@gmail.com,Manisha,Singh,https://talenthub.vectorinstitute.ai/profiles/1602915/view_image/0.jpeg,Data Scientist,"I am a Data Scientist at SOTI Inc in Canada. I work on data science projects to gain insights from the product data and customer data from various data sources and suggest strategies to help improve the sales for the organization while helping SOTI customers get a better analytical experience. +I have gained experience in the areas of data science, and machine learning from my current and previous work experience along with the Master of Science in Applied Computing from University of Toronto. +I am particularly interested in data-centric engagements that can help solve real-life problems. Experienced in driving and building scalable data-centric products and strategies involving data transformation and analytics. Expertise in Analytical tools like DSS(Data Science Studio).Passionate about machine learning, building intelligent machines, and contributing to technological innovations. +I see myself possessing the following plus points: +*Strong interpersonal and communication skills +*Ability to work in a team with diverse backgrounds +*Willing to learn and adapt to new opportunities and challenges",6477637555,,,,https://www.linkedin.com/in/singhmanisha29/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d1d56041-e396-432e-80f7-dd1333188d21/resume,Toronto,Ontario,,Canada,linkedin,2020-01-15T16:54:44.928Z,2021-08-23T14:55:33.883Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,I graduated from the master's program (MScAC) at University of Toronto. My area of expertise is Machine learning and data science.,Ms.,https://www.linkedin.com/in/singhmanisha29/,"Data science, Healthcare and/or medical imaging, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Masters in Science Applied Computing,Type of Work is More Important to me than Sector,Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,False,True,True +47afe12c-ff0a-4975-ae8b-44c30c0207fb,seidi.sahar@gmail.com,Sahar,Seidi ,https://talenthub.vectorinstitute.ai/profiles/2624559/view_image/1.jpg,Data Scientist,"Data Scientist with 4 years experience in Machine Learning and Analytics and advanced mathematical skills. Skilled communicator adept at representing information in meaningful ways and converting complicated data into understandable insights. I am a self-motivated, detail-oriented, and passionate engineer, with an extensive experience (more than 3 years) as a Data Analyst and a very strong math background.",4168919801,,,,https://www.linkedin.com/in/saharseidi/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/47afe12c-ff0a-4975-ae8b-44c30c0207fb/resume,Toronto,Ontario,,Canada,,2021-12-22T19:56:12.443Z,2021-12-22T23:49:12.852Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,linkedin.com/saharseidi,"Anomaly detection, Data science, Deep learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Electrical and Computer Engineering,"Financial Services, Professional Services (e.g Consulting), Retail, Technology (Product Development), Telecommunications","Full Time, Internship","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer",York University,True,True,True,True +dd8ded9a-490d-4a89-9f02-21d44c53cc16,ankshu2015@gmail.com,Ankit,Shukla,https://talenthub.vectorinstitute.ai/profiles/1550638/view_image/0.jpeg,Data Scientist,Ankit is currently pursuing his Master of Data Science and Artificial Intelligence at the University of Waterloo. He has over 3 years of industry experience developing and deploying data-driven applications in various domains like aviation and retail.,+1(519) 722-0942,,,,https://www.linkedin.com/in/ankit-shukla-dev/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/dd8ded9a-490d-4a89-9f02-21d44c53cc16/resume,Waterloo,Ontario,,Canada,linkedin,2019-12-03T16:04:26.807Z,2021-01-18T03:02:52.833Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/ankit-shukla-562912143/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Data Science and Artificial Intelligence,"Financial Services, Health, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Contract",,University of Waterloo,True,True,True,True +b0020c1f-a54a-45bd-996b-e9bacf376340,karim.zaatari@mail.utoronto.ca,Karim,El-Zaatari,https://talenthub.vectorinstitute.ai/profiles/2699310/view_image/picture_1.jpg,Data Scientist,,4162944493,,,,https://www.linkedin.com/in/karim-zaatary-7b793486/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b0020c1f-a54a-45bd-996b-e9bacf376340/resume,Toronto,Ontario,,Canada,,2022-02-21T01:10:18.214Z,2022-02-21T01:10:18.253Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/karim-zaatary-7b793486/,"Data science, Deep learning, Graphical models, Machine learning, Optimization, Statistical learning theory, Unsupervised learning",Graduate Degree (Masters),Senior Level (5+ Years),Operations Research,"Financial Services, Professional Services (e.g Consulting), Technology (Product Development), Telecommunications, Transportation",Full Time,"Data Scientist, Machine Learning Engineer",University of Toronto,True,False,True,True +fc0e2951-6552-4785-a7cd-31d57ab6a01d,erkan.tim@gmail.com,Timur,Erkan,https://talenthub.vectorinstitute.ai/profiles/2481197/view_image/DSC_0015.JPG,Experienced Transportation Modeler ,"Timur Erkan is a Master of Management Analytics (MMA) candidate for 2022 who has a passion for solving complex solutions through the use of advanced analytics. Previously, Timur worked as a Transportation Analyst for both an engineering consulting firm and a business retail company. He graduated from the University of Waterloo in 2019 with a Bachelor of Applied Science in Civil Engineering with an option in Management Sciences. ",6472692855,,,,https://www.linkedin.com/in/timur-erkan-28b154a4/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/fc0e2951-6552-4785-a7cd-31d57ab6a01d/resume,Vaughan,Ontario,,Canada,,2021-08-24T21:14:53.614Z,2021-08-25T14:07:52.579Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/timur-erkan/,,Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Civil Engineering with an option in Management Science,,Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +7c35e852-df17-4ea7-8b35-e9a97122c5e1,t.alam-eddine@hotmail.com,Talal,Alam-Eddine,https://talenthub.vectorinstitute.ai/profiles/2504473/view_image/IMG_20190221_180112__01.jpg,Capital Markets | Banking | Product Management | FinTech,"I am currently a second year student at the Rotman School of Management (University of Toronto), studying finance. Previously, I worked in the areas of risk management, technology, and project delivery at a number of financial institutions where I played an instrumental role implementing several enterprise-wide transformational initiatives. Throughout my career, I have been recognized for my leadership, relationship building skills, and my ability to deliver under pressure. +I am intrigued by application of ML/AI to the financial industry, and would be thrilled to connect with start-ups or established companies that are focused on this sector. +",,,,,https://www.linkedin.com/in/t-alam-eddine,,True,False,,,,,,,2021-09-10T17:42:51.409Z,2021-09-23T05:49:37.390Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,www.linkedin.com/in/t-alam-eddine,"Deep learning, Machine learning",Graduate Degree (Masters),Senior Level (5+ Years),Finance,"Financial Services, Software, Technology (Product Development)","Full Time, Capstone Project","Business Analyst/Business Intelligence Analyst , Product/Project Manager, Other ",University of Toronto,True,True,True,True +680760dc-d7a6-48b4-ad8b-fc328eb897e3,cole.shulman@gmail.com,Cole,Shulman,https://talenthub.vectorinstitute.ai/profiles/2504156/view_image/1629580545561.jpeg,"Master of Management Analytics Candidate 2022, Rotman School of Management | Data Science | Health Analytics","Cole Shulman is a Bachelor of Health Sciences graduate from McMaster University who also achieved a minor in statistics. He received multidisciplinary training in biomedical science, business, and mathematics, and is ready to provide a multifaceted way of thinking to the data science world. He is a published bioinformatician, with experience helping tech startups grow in Canada. Outside of his education, he has a passion for volunteering and teaching children to be curious, open-minded, and excited about the world. With the ability to adapt to new environments quickly, an eagerness to learn and work hard, along with a very positive attitude, He's always looking forward to embracing new challenges and opportunities. + Following completion of his master’s in July 2022,he is seeking full time opportunities in the healthcare analytics and data science fields.",,,,,https://www.linkedin.com/in/coleshulman/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/680760dc-d7a6-48b4-ad8b-fc328eb897e3/resume,Toronto,Ontario,,Canada,linkedin,2021-09-10T13:16:49.409Z,2022-01-21T17:27:12.190Z,False,False,Recognized Masters Program,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/coleshulman/,Data science,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,"Health, Professional Services (e.g Consulting), Software, Technology (Product Development)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Researcher/Scientist , Product/Project Manager",University of Toronto,True,False,True,True +efab44f2-d06f-478c-ab5f-66dac7fa5c20,a.edraki.g@gmail.com,Amin,Edraki,https://talenthub.vectorinstitute.ai/profiles/1550730/view_image/0.jpeg,Machine Learning and Speech Processing Researcher,"I am a PhD student at Queen's University in Kingston, Canada. My research interests include speech processing and perception in difficult environments, interpret-able machine learning and speech intelligibility estimation and enhancement.",6137700981,,,,https://www.linkedin.com/in/amin-edraki,,True,False,https://canadaai.jobboard.io/api/v1/profiles/efab44f2-d06f-478c-ab5f-66dac7fa5c20/resume,Kingston,Ontario,,Canada,linkedin,2019-12-03T16:46:03.134Z,2020-02-20T19:20:25.887Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/amin-edraki,,Postgraduate Degree (PhD),Entry Level (0-2 Years),Electrical and Computer Engineering,,Internship,,Queen's University,True,False,True,True +a9780710-ab93-42ad-94d2-b7e7e94129ef,patrickhua.ty@gmail.com,Tianyu,Hua,https://talenthub.vectorinstitute.ai/profiles/2546917/view_image/1612363172223.jpeg,,,,,https://patrickhua.github.io/,,https://www.linkedin.com/in/tianyu-hua-876865180/,tianyu_hua,True,False,https://canadaai.jobboard.io/api/v1/profiles/a9780710-ab93-42ad-94d2-b7e7e94129ef/resume,,,,,linkedin,2021-10-14T17:32:32.772Z,2021-10-14T17:32:32.955Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/tianyu-hua-876865180/,"Computer vision, Deep learning, Few-shot learning, Generative modeling, Interpretability, Machine learning, Natural language processing, Neuroscience, Self-supervised learning, Unsupervised learning",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Computer Science,,"Full Time, Internship, Co-op","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,False,True,True +2965fcd8-1651-412d-9b79-7afd2e686d53,subu.ganapathy@outlook.com,Subramaniam (Subu),Ganapathy,https://talenthub.vectorinstitute.ai/profiles/1550818/view_image/0.jpeg,,,,,,,https://www.linkedin.com/in/subuganapathy/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2965fcd8-1651-412d-9b79-7afd2e686d53/resume,,,,,linkedin,2019-12-03T17:41:01.537Z,2019-12-30T16:35:50.393Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/subuganapathy/,,,,Master of Technology AI Security,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op",,OntarioTech University,True,True,True,True +dfbad55a-a367-4a93-91d0-61aac096cf31,kkrsabbella@gmail.com,Krishna Kalyan,Sabbella,https://talenthub.vectorinstitute.ai/profiles/2517585/view_image/1613923802023.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-09-21T00:09:00.144Z,2021-09-21T00:09:00.285Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/krishna-kalyan-sabbella-5264a1ba/,,,,,,,,,True,True,True,True +39dfb020-16d7-4ae5-aa82-88785c1b6063,careymg@gmail.com,Carey,Mende-Gibson,https://talenthub.vectorinstitute.ai/profiles/2510861/view_image/1516352637678.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-09-15T20:34:50.866Z,2021-09-15T20:34:51.147Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/cmendegibson/,,,,,,,,,True,False,True,True +310a0745-fbe9-485a-ae67-d3ddb24e10e6,dhavaldesai.7@gmail.com,Dhaval,Anant Desai,https://talenthub.vectorinstitute.ai/profiles/2291184/view_image/1516575433994.jpeg,Experienced Data Management Professional ,,6475448872,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/310a0745-fbe9-485a-ae67-d3ddb24e10e6/resume,Mississauga,Ontario,,Canada,linkedin,2021-03-29T00:03:20.700Z,2021-03-29T00:03:20.940Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Other/Undetermined,Follower of Research of Institute,Mr.,https://www.linkedin.com/in/dhavalanantdesai/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Senior Level (5+ Years),MBA - Information Technology Management,,Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer",Other,True,True,True,True +8b1b0df3-0c80-4db0-8949-5b2d14264bbf,claudiawangubc@gmail.com,Claudia (Zi),Wang,https://talenthub.vectorinstitute.ai/profiles/2578670/view_image/1596164356929.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-11-11T00:53:47.633Z,2021-11-11T00:53:47.845Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/zi-claudia-wang/,,,,,,,,,True,True,True,True +466c785a-ce7a-4b4a-a609-bc8433169b26,yao.chen@queensu.ca,Yao,Chen,https://talenthub.vectorinstitute.ai/profiles/2184028/view_image/1517342234431.jpeg,Data Scientist,"Actively looking for a Data Scientist role. +An AI expert who focuses on solving problems by using AI techniques such as Machine Learning, NLP and Deep Learning, as well as using advanced analytics approaches. +Proficient with Python/Pandas/Numpy/Scikit-Learn/Tensorflow and SQL for advanced data analytics, Excel/VBA/Power Query, Tableau for advanced reporting/dashboard implementation +Always enthusiastic about pursuing new technology and aiming for a better solution for the organizations. ",5194976512,,,,https://www.linkedin.com/in/yaochen-analytics/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/466c785a-ce7a-4b4a-a609-bc8433169b26/resume,Toronto,Ontario,,Canada,linkedin,2021-01-09T16:49:04.190Z,2021-01-09T16:49:04.411Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/yaochen-analytics/,"Data science, Machine learning, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management in Artificial Intelligence,"Retail, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Contract",,Queen's University,True,True,True,True +09c08546-f04d-481b-8471-ca54a0c681ca,anulankananda@gmail.com,Anuruddha,Lankananda,https://talenthub.vectorinstitute.ai/profiles/2564101/view_image/1622011672342.jpeg,EMS Manufacturing Manager,"My engineering forte is in Electronic, Embedded systems, Robotics, Artificial intelligence and automated systems. Extensive experience in engineering, management, research and development. Expert at analyzing and solving the most complex of problems. Self-motivated professional, capable of working independently or as part of a team.",+94719481054,,,,https://www.linkedin.com/in/anuruddha-lankananda,,True,False,https://canadaai.jobboard.io/api/v1/profiles/09c08546-f04d-481b-8471-ca54a0c681ca/resume,,,,,linkedin,2021-10-28T15:15:11.434Z,2021-10-28T15:15:11.640Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,"I don't have associated institute with Vector Institute, But I really interesting to work with Vector Institute",Mr.,https://www.linkedin.com/in/anuruddha-lankananda,"Computer vision, Machine learning, Robotics",Graduate Degree (Masters),Senior Level (5+ Years),Master of Science in Electronic and Automation,"Manufacturing , Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer",Other,True,True,True,True +60175fa0-3726-4492-9bf0-64d1963e9f3c,divyajain.1812@gmail.com,Divya,Jain,https://talenthub.vectorinstitute.ai/profiles/2439782/view_image/Screenshot_20180209-232923_2.png,"Master of Management in Analytics - Queen's University (2021-22), Looking for Analytics roles",,+14379701717,,,,https://www.linkedin.com/in/jain-divya,,True,False,https://canadaai.jobboard.io/api/v1/profiles/60175fa0-3726-4492-9bf0-64d1963e9f3c/resume,Toronto,Ontario,,Canada,,2021-07-18T16:31:39.328Z,2021-07-18T16:31:39.353Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/jain-divya,"Data science, Deep learning, Machine learning, Natural language processing, Optimization, Recommender systems, Reinforcement learning, Representation learning, Self-supervised learning, Time-series forecasting and modelling, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management in Analytics,"Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",Queen's University,True,True,True,True +755a63ad-4701-431d-b645-bdc000af7082,arshiyaaggarwal03@gmail.com,Arshiya,Aggarwal,https://talenthub.vectorinstitute.ai/profiles/2356136/view_image/1595616108703.jpeg,"I’m a Software Development Engineer-2 at Adobe where I ideate, develop, optimize and deploy Machine Learning models for Adobe Scan.",,+91-8130520880,,https://arshiyaaggarwal.github.io/,,https://www.linkedin.com/in/arshiya-aggarwal,ArshiyaAggarwa1,True,False,,,,,,linkedin,2021-05-13T11:26:18.282Z,2021-05-13T11:26:18.544Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,,Ms.,https://www.linkedin.com/in/arshiya-aggarwal,"Deep learning, Machine learning, Natural language processing",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Electrical and Electronics Engineering,Software,Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,False,True,True +e9e936bd-2734-4d39-9a66-543d394a6167,ezcko@hotmail.com,Anton,Gladkikh,https://talenthub.vectorinstitute.ai/profiles/2337177/view_image/1579867962902.jpeg,UofT MBA Student,,(365) 323 2900,,,,https://www.linkedin.com/in/antonfin/,,True,False,,Toronto,Ontario,,Canada,linkedin,2021-04-28T19:55:50.480Z,2021-04-28T19:55:50.687Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Fall 2022,,Mr.,https://www.linkedin.com/in/antonfin/,,Graduate Degree (Masters),Senior Level (5+ Years),MBA,"Financial Services, Type of Work is More Important to me than Sector","Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Product/Project Manager, Other ",University of Toronto,True,False,True,True +f54cc439-92a0-4261-a9d0-61449a33865f,seanxzhang94@gmail.com,Sean,Zhang,https://talenthub.vectorinstitute.ai/profiles/2136893/view_image/0.jpeg,"Analyst at IQVIA, Clinical Data Privacy",,5149465095,,,,https://www.linkedin.com/in/sean-x-zhang/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f54cc439-92a0-4261-a9d0-61449a33865f/resume,Ottawa,Ontario,,Canada,linkedin,2020-11-19T20:02:03.075Z,2020-11-19T20:06:38.115Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,I went to the Toronto Machine Learning Summit and talked to a Vector Institute member who recommended me to make an account,Mr.,https://www.linkedin.com/in/sean-x-zhang/,,Graduate Degree (Masters),Mid-Level (3-5 Years),"Experimental Medicine, Bioethics, Clinical Trial Statistics","Health, Professional Services (e.g Consulting), Technology (Information and Media)","Full Time, Contract",,Other,True,True,True,True +137232e3-886c-4da6-af33-8d690cda6f8b,hari.prasadraj@live.com,Hari Prasad,Kuppuraj,https://talenthub.vectorinstitute.ai/profiles/2574522/view_image/1621577596976.jpeg,,"13 years’ experience in various projects works from design to implementation of creative data solutions leveraging the latest in Big Data frameworks, supporting on-premise, cloud (AWS, GCP) and hybrid architectures to enable use cases in analytics and AI.",,,,,https://www.linkedin.com/in/hariprasadraj/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/137232e3-886c-4da6-af33-8d690cda6f8b/resume,,,,,linkedin,2021-11-08T02:36:14.034Z,2021-11-08T02:36:14.215Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,,Mr.,https://www.linkedin.com/in/hariprasadraj/,"Data science, Deep learning, Machine learning, Time-series forecasting and modelling",Graduate Degree (Masters),Senior Level (5+ Years),Artificial Intelligence and Machine Learning,"Financial Services, Health, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Architect, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Other,True,False,True,True +c157a4d1-1fd9-4061-b763-973f1ddd8fa7,mashkoor132@gmail.com,Mashkoorhusain,Husaini,https://talenthub.vectorinstitute.ai/profiles/2604032/view_image/1631202227903.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-12-03T02:52:45.841Z,2021-12-03T02:52:46.456Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/mashkoorhusain-husaini-73b1a31b2/,,,,,,,,,True,True,True,True +c07292d1-3dcb-4e9d-9c11-e6909c280398,anmol.garg1994@gmail.com,Anmol,Garg,https://talenthub.vectorinstitute.ai/profiles/2163054/view_image/1563388052628.jpeg,Data Analyst | Machine Learning,,,,,,https://www.linkedin.com/in/anmolgarg94/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c07292d1-3dcb-4e9d-9c11-e6909c280398/resume,,,,,linkedin,2020-12-18T17:13:33.722Z,2020-12-18T17:13:34.216Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Winter 2021,,Mr.,https://www.linkedin.com/in/anmolgarg94/,"Computer vision, Machine learning, Natural language processing, Recommender systems",Graduate Degree (Masters),Entry Level (0-2 Years),Industrial Engineering,"Construction or Infrastructure, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Technology (Product Development)","Full Time, Internship, Contract",,University of Toronto,True,True,True,True +c6d7e16c-f25a-424c-b844-b314c0bf4f6d,annabelle.sauve14@gmail.com,Annabelle,Sauve,https://talenthub.vectorinstitute.ai/profiles/2355347/view_image/1567779531202.jpeg,,,,,,,https://www.linkedin.com/in/annabelle-sauve-b63b08192/,,True,False,,,,,,linkedin,2021-05-12T19:24:51.207Z,2021-05-12T19:24:51.448Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Spring/Summer 2021,,Miss.,https://www.linkedin.com/in/annabelle-sauve-b63b08192/,"Data science, Healthcare and/or medical imaging, Machine learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),4th,"Education, Health, Public Administration (i.e Gov't), Software, Technology (Information and Media)","Internship, Co-op, Capstone Project","Data Analyst, Data Scientist, Machine Learning Researcher/Scientist , Software Engineer, Other ",Carleton University,True,True,True,True +e8c6d8f4-f51d-4568-a1a7-a7c5ea2036b6,ratularn2@gmail.com,Md. Aminur Rab,Ratul,https://talenthub.vectorinstitute.ai/profiles/2292238/view_image/1595953429793.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-03-29T18:29:50.134Z,2021-03-29T18:29:50.280Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/md-aminur-rab-ratul-6ba99585/,,,,,,,,,True,False,True,True +9b157a2b-1369-4be5-8b3f-737705ad1868,kimiah97@gmail.com,Kimia,HemmatiRad,https://talenthub.vectorinstitute.ai/profiles/2188512/view_image/1609586435839.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-01-12T23:42:03.082Z,2021-01-12T23:42:03.309Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/kimiahemmatirad/,,,,,,,,,True,True,True,True e9e8d4ac-518d-4b1e-b1de-5bd3fe1bdf62,sarah.sinha@queensu.ca,Sarah,Sinha,https://talenthub.vectorinstitute.ai/profiles/2517428/view_image/Screen_Shot_2022-09-01_at_7.57.46_PM.png,MMAI Candidate - Smith School of Business at Queens University,"While completing my Masters of Management in Artificial Intelligence I discovered my passion for NLP, research, and other cutting edge technology. I took it upon myself to take additional courses outside of school to enhance my knowledge in this field. Towards the end of the degree I came in first place in an NLP competition out of the entire class. Last April I began working for Queen's University as an NLP Intern, where I have had the opportunity to apply these concepts to real world problems. In this role I was able to derive leading insights pertaining to diagnosing emotion behind human/chatbot interactions. In addition to my strong technical skills and work experience I have strong soft skills. I am highly driven, a strong communicator, and excel when given responsibility in leadership roles. I have a passion for learning and want to continue uncovering the latest advancements in this field, and applying them to my work. Additionally, outside of work one of my interests is the Metaverse. I am currently taking multiple online courses to learn more about it.",,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e9e8d4ac-518d-4b1e-b1de-5bd3fe1bdf62/resume,Toronto,Ontario,,Canada,,2021-09-20T20:18:24.883Z,2022-01-06T21:17:01.130Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Miss.,https://www.linkedin.com/in/sarahsinha/,,Graduate Degree (Masters),Mid-Level (3-5 Years),MMAI,"Financial Services, Health, Public Administration (i.e Gov't), Technology (Information and Media)",Full Time,"Data Analyst, Data Scientist, Machine Learning Engineer",Queen's University,True,True,True,True -930297c1-e379-438e-b498-0649b9dd78ea,marcinzegarmistrz@gmail.com,Marcin,Zegarmistrz,https://talenthub.vectorinstitute.ai/profiles/1932161/view_image/1599597094982.jpg,Rotman MMA Class of 2021 Candidate ,"Marcin Zegarmistrz is a BHSc graduate from McMaster University with a specialization in mathematics. He has experience in mathematical research, specifically investigating claims for the 'supremacy' of quantum computer. He is passionate about mathematics and it's computational applications. In his spare time, he loves fishing, cycling and spending time outdoors. ",647-210-3872,,,,https://www.linkedin.com/in/marcin-zegarmistrz-a8606419a/,,True,False,,Toronto,Ontario,,Canada,,2020-08-13T19:40:20.313Z,2020-09-09T16:16:54.129Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/marcin-zegarmistrz-a8606419a/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Contract",,University of Toronto,True,True,True,True -f18ea6f9-2a5c-4756-b130-1930a345cb34,raima.lohani@mail.utoronto.ca,Raima,Lohani,https://talenthub.vectorinstitute.ai/profiles/1932233/view_image/Profile.jpg,Project & Research Analyst l Registered Nurse l MHI (C),,416 727 2484,,,,https://www.linkedin.com/in/raima-lohani,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f18ea6f9-2a5c-4756-b130-1930a345cb34/resume,Toronto,Ontario,,Canada,,2020-08-13T19:41:11.730Z,2020-09-23T22:10:18.203Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,"Institute of Health Policy, Management and Evaluation",Already Graduated,,Ms.,www.linkedin.com/in/raima-lohani,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Health Informatics,"Health, Public Administration (i.e Gov't), Technology (Product Development)","Full Time, Contract",,University of Toronto,True,True,True,True -66054e74-625b-4da2-892a-ea539ebd27b5,pvajar@ryerson.ca,Pooyan,Vajar,https://talenthub.vectorinstitute.ai/profiles/2117819/view_image/0.jpeg,,Recent graduate with a master's degree in computer engineering with a concentration on artificial intelligence. Highly passionate about finding patterns in data and leveraging machine learning techniques to build new models or improve existing ones for the automation of challenging tasks.,,,,,https://www.linkedin.com/in/pooyan-vajar-0a2349183/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/66054e74-625b-4da2-892a-ea539ebd27b5/resume,Toronto,Ontario,,Canada,linkedin,2020-10-30T18:47:27.601Z,2022-03-29T04:35:37.429Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/pooyan-vajar-0a2349183/,,Graduate Degree (Masters),Entry Level (0-2 Years),MEng with AI concentration,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Ryerson University,True,True,True,True +3350b475-69c7-438b-bcde-9d0dddb5e35d,xwang842@uwo.ca,Xindi ,Wang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Experienced NLP Researcher,"I am a second year PhD student at the University of Western Ontario and Vector Institute. My research interests mostly lie in natural language processing in clinical domain, especially in utilizing knowledge graph/graph theory to solve practical problems in healthcare. +",,,https://www.csd.uwo.ca/~xwang842/,,https://www.linkedin.com/in/xindi-wang-694a4998/,,True,True,https://canadaai.jobboard.io/api/v1/profiles/3350b475-69c7-438b-bcde-9d0dddb5e35d/resume,Toronto,Ontario,,Canada,,2020-10-09T09:45:06.587Z,2022-03-31T09:39:07.629Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,"Frank Rudzicz, Robert E. Mercer",Winter 2024 (December 2023 - March 2024),,Miss.,https://www.linkedin.com/in/xindi-wang-694a4998/,,Postgraduate Degree (PhD),Entry Level (0-2 Years),Computer Science,"Education, Financial Services, Health, Professional Services (e.g Consulting)","Internship, Co-op","Data Scientist, Machine Learning Researcher/Scientist ",Western University,True,True,True,True eee73b27-d8c8-4dce-be41-b7aa94dc83fc,i.idris.iman@gmail.com,Iman,Idris,https://talenthub.vectorinstitute.ai/profiles/2495946/view_image/1623376844879.jpeg,"MMA Candidate 2022, Rotman School of Management",,,,,,https://www.linkedin.com/in/imanidris/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/eee73b27-d8c8-4dce-be41-b7aa94dc83fc/resume,,,,,linkedin,2021-09-03T14:59:14.643Z,2022-03-24T18:24:13.265Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/imanidris/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,"Financial Services, Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True 5b1f22fe-8a27-41ff-8cb3-11fc32277a82,justin1narayan@gmail.com,Justin,Narayan,https://talenthub.vectorinstitute.ai/profiles/2780399/view_image/1643640231399.jpeg,Engineering Science Student at the University of Toronto,,,,http://github.com/justinnarayan,,https://linkedin.com/in/justinnarayan,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5b1f22fe-8a27-41ff-8cb3-11fc32277a82/resume,,,,,linkedin,2022-04-22T21:31:35.408Z,2022-04-22T21:31:35.808Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Other/Undetermined,I am a first-year Engineering Science student at the University of Toronto,Mr.,https://linkedin.com/in/justinnarayan,"Computer vision, Natural language processing, Robotics",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Engineering Science,"Education, Financial Services, Health, Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Internship, Co-op","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,False,True,True -befe7926-f733-48d0-b63c-d4deb451031b,dkadiry@gmail.com,Oluwadamilola (Dami),Kadiri,https://talenthub.vectorinstitute.ai/profiles/2780203/view_image/1628612253429.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-04-22T17:42:45.515Z,2022-04-22T17:42:46.090Z,False,False,Vector Scholarship Recipient,Yes,,,,,,https://www.linkedin.com/in/oluwadamilola-dami-kadiri-853a651a1/,,,,,,,,,True,True,True,True +66054e74-625b-4da2-892a-ea539ebd27b5,pvajar@ryerson.ca,Pooyan,Vajar,https://talenthub.vectorinstitute.ai/profiles/2117819/view_image/0.jpeg,,Recent graduate with a master's degree in computer engineering with a concentration on artificial intelligence. Highly passionate about finding patterns in data and leveraging machine learning techniques to build new models or improve existing ones for the automation of challenging tasks.,,,,,https://www.linkedin.com/in/pooyan-vajar-0a2349183/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/66054e74-625b-4da2-892a-ea539ebd27b5/resume,Toronto,Ontario,,Canada,linkedin,2020-10-30T18:47:27.601Z,2022-03-29T04:35:37.429Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/pooyan-vajar-0a2349183/,,Graduate Degree (Masters),Entry Level (0-2 Years),MEng with AI concentration,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Ryerson University,True,True,True,True +cc127158-70f4-4867-bae9-e6dfd67be000,0shp34@gmail.com,Suhyeon,Park,https://talenthub.vectorinstitute.ai/profiles/1944527/view_image/t-cardpic.jpg,,I am a Registered Nurse looking forward towards a career in Health Informatics. This career change was driven by my interest in the potential of AI and virtual healthcare to optimize home healthcare and nursing. ,,,,,,,True,False,,Toronto,Ontario,,Canada,,2020-08-21T00:16:49.589Z,2020-08-21T00:16:49.615Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/suhyeon-sue-park-0296b01b6/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Health Informatics 2022,"Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't)",Co-op,,University of Toronto,True,True,True,True +01cd885e-f8ac-43b4-a1c4-e2b8297e74a7,saeed@eecs.yorku.ca,Saeed,Ghorbani,https://talenthub.vectorinstitute.ai/profiles/2124487/view_image/profile_pic.jpeg,"PhD Student, York University","My research interests are machine learning, computer vision, computer graphics, and computer animation",,,https://saeed1262.github.io/,,https://www.linkedin.com/in/saeed-ghorbani-ba4872136/,SaGhorbani,True,False,https://canadaai.jobboard.io/api/v1/profiles/01cd885e-f8ac-43b4-a1c4-e2b8297e74a7/resume,Toronto,Ontario,,Canada,,2020-11-06T15:01:26.049Z,2020-11-06T16:25:25.425Z,False,False,Recognized Masters Program,Yes,Student or Postdoc of a Vector Faculty Member,Marcus Brubaker,Already Graduated,,Mr.,https://www.linkedin.com/in/saeed-ghorbani-ba4872136/,,Graduate Degree (Masters),Mid-Level (3-5 Years),ELectrical Engineering and Computer Science,"Construction or Infrastructure, Education, Health, Manufacturing , Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op",,York University,True,True,True,True 61911ad8-2973-465d-b70a-149de5859f5d,dara.kalantari@hotmail.com,Dara,Kalantari,https://talenthub.vectorinstitute.ai/profiles/1944279/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-08-20T18:59:52.527Z,2020-08-20T18:59:52.938Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/darakalantari/,,,,,,,,,True,True,True,True 0bd50183-9b59-408d-8907-9660e3d87a5e,tarunmahajan17@gmail.com,Tarun,Mahajan,https://talenthub.vectorinstitute.ai/profiles/1900588/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-08-01T15:59:50.047Z,2020-08-01T15:59:50.224Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/mahajantarun/,,,,,,,,,True,True,True,True +befe7926-f733-48d0-b63c-d4deb451031b,dkadiry@gmail.com,Oluwadamilola (Dami),Kadiri,https://talenthub.vectorinstitute.ai/profiles/2780203/view_image/1628612253429.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-04-22T17:42:45.515Z,2022-04-22T17:42:46.090Z,False,False,Vector Scholarship Recipient,Yes,,,,,,https://www.linkedin.com/in/oluwadamilola-dami-kadiri-853a651a1/,,,,,,,,,True,True,True,True +65ed614b-1574-47e1-ba08-30eac88174b9,blessing.bassey@aims-cameroon.org,Blessing Itoro,Bassey,https://talenthub.vectorinstitute.ai/profiles/1901825/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-08-02T12:53:19.409Z,2020-08-02T12:53:19.550Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/blessing-itoro-bassey-41665b151/,,,,,,,,,True,False,True,True +0fd83c81-81bd-457a-b509-0474ece57e49,sepehr.ataei222@gmail.com,Sepehr,Ataei,https://talenthub.vectorinstitute.ai/profiles/1872418/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-07-15T02:26:37.657Z,2020-07-15T02:26:37.963Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/sepehrataei/,,,,,,,,,True,True,True,True +9c4d5a25-abdb-480e-91b4-9594b8607ee6,hansonchang2008@gmail.com,Hanson (Hanxiang),Zhang,https://talenthub.vectorinstitute.ai/profiles/1550903/view_image/0.jpeg,enthusiast AI graduate student,AI graduate student looking for a new grad AI career in Fall 2021,6132610632,,https://github.com/hansonchang2008,,https://www.linkedin.com/in/hanson-zhang/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9c4d5a25-abdb-480e-91b4-9594b8607ee6/resume,Ottawa,Ontario,,Canada,linkedin,2019-12-03T18:29:47.733Z,2021-01-14T17:03:56.047Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/hanson-hanxiang-zhang/,"Data science, Machine learning, Natural language processing, Transfer learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Computer Science concentration in Applied Artificial Intelligence,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Contract, Capstone Project",,University of Ottawa,True,True,True,True +a5f81e5c-42d2-4b90-829e-2d4aa8daaf9a,shane@smsegal.ca,Shane,Segal,https://talenthub.vectorinstitute.ai/profiles/2077016/view_image/IMG_0996.jpg,Computer Vision and Machine Learning Engineer,"I'm an experienced Software Developer with years of experience building applications at scale under my belt. I went back to earn my Master's Degree in Computer Science at York University after building full-stack applications. +I aim to solve problems in Machine Intelligence, create artificial agents that can see and understand the world around them, and design and engineer systems to democratize access to AI to better the lives of everyone. ",6472954261,,https://smsegal.ca,,https://www.linkedin.com/in/shanesegal/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a5f81e5c-42d2-4b90-829e-2d4aa8daaf9a/resume,Toronto,Ontario,,Canada,linkedin,2020-09-24T00:41:31.429Z,2020-12-10T02:27:00.566Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Marcus Brubaker,Already Graduated,,Mr.,https://www.linkedin.com/in/shanesegal/,"Computer vision, Deep learning, Interpretability",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,"Software, Technology (Information and Media), Technology (Product Development)",Full Time,,York University,True,True,True,True f16559a2-fec7-49f5-bc93-9b8e04be60ca,tahseenaminhemel@gmail.com,Tahseen,Hemel,https://talenthub.vectorinstitute.ai/profiles/1603156/view_image/photo.jpg,"Data Scientist, Data Analyst, Credit Risk Analyst, Business Analyst",,6473959784,,https://github.com/TahseenAminHemel,,https://linkedin.com/in/tahseenaminhemel,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f16559a2-fec7-49f5-bc93-9b8e04be60ca/resume,Toronto,Ontario,,Canada,,2020-01-15T19:23:46.231Z,2020-11-17T15:31:21.947Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Mr.,https://linkedin.com/in/tahseenaminhemel,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Science in Data Science and Analytics,"Financial Services, Health, Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project",,Ryerson University,True,True,True,True 5c534c2a-1f7e-444c-a05d-7566a56d24ac,vishwa94sai@gmail.com,Vishwa Sai,Kodiyala,https://talenthub.vectorinstitute.ai/profiles/1605144/view_image/0.jpeg,Data Engineer,"I am currently pursuing my Postgraduate Master's degree in Computer Science with a specialization in Artificial Intelligence from Western university, Canada. Previously, I was employed as a Software Professional for nearly three years working on various tools and technologies in top multinational corporations. I am a Data Science enthusiast who loves playing with data.",+1 (226)-998-0848,,,,https://www.linkedin.com/in/vishwasaikodiyala,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5c534c2a-1f7e-444c-a05d-7566a56d24ac/resume,London,Ontario,,Canada,linkedin,2020-01-16T23:02:27.404Z,2020-01-16T23:02:27.603Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/vishwasaikodiyala,,Graduate Degree (Masters),,M.Sc. Computer Science with specialization in Artificial Intelligence,,"Full Time, Internship, Co-op, Contract, Capstone Project",,Western University,True,True,True,True 7b587610-e354-4059-ae67-25c3917ed826,vrathore12@hotmail.com,Virendra Singh,Rathore,https://talenthub.vectorinstitute.ai/profiles/1556230/view_image/0.jpeg,Graduate Student,,8073575939,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/7b587610-e354-4059-ae67-25c3917ed826/resume,Thunder Bay,Ontario,,Canada,linkedin,2019-12-08T07:04:17.081Z,2019-12-08T07:04:17.292Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,Not Found,,,,Masters in Computer Science,"Retail, Telecommunications","Full Time, Internship",,Lakehead University,True,True,True,True @@ -1633,7 +1657,6 @@ bb37d872-6c52-4fac-b585-7d806b849865,kngoyal.cs@gmail.com,Kamal,Goyal,https://ta 518f1820-dd8d-457e-b454-4d37c5a0c00f,charliedai1995@gmail.com,Charlie(Linhui),Dai,https://talenthub.vectorinstitute.ai/profiles/1968381/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-09-06T17:38:32.234Z,2020-09-06T17:38:32.487Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/charlie-linhui-dai-978359125/,,,,,,,,,True,True,True,True 7928dc2a-60ab-46b5-89a2-991768935c28,shreya.nshivakumar@gmail.com,Shreya,Narla,https://talenthub.vectorinstitute.ai/profiles/1974342/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-09-11T18:49:39.932Z,2020-09-11T18:49:40.088Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/shreyanarla/,,,,,,,,,True,False,True,True ffefa22e-3b78-4f7d-a2c0-6e23c5490926,diarahman@hotmail.ca,Dia,Rahman,https://talenthub.vectorinstitute.ai/profiles/2189397/view_image/1593083539489.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-01-13T15:44:09.095Z,2021-01-13T15:44:09.524Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/dia-rahman/,,,,,,,,,True,True,True,True -9aa18dbb-d6b3-4e12-afbc-d2791f45327d,jasonzhoujc@outlook.com,Jason (Jiachen),Zhou,https://talenthub.vectorinstitute.ai/profiles/2364629/view_image/Jason_Zhou_aUToronto_headshot_square.JPG,Computer Vision Researcher,,,,,,https://www.linkedin.com/in/jiachenjason-zhou/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9aa18dbb-d6b3-4e12-afbc-d2791f45327d/resume,,,,,linkedin,2021-05-19T18:01:27.407Z,2021-05-19T18:01:27.625Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,University of Toronto Institute for Aerospace Studies,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/jiachenjason-zhou/,"AI safety, Computer vision, Data science, Deep learning, Gaussian processes, Graphical models, Machine learning, Optimization, Recommender systems, Reinforcement learning, Robotics, Self-supervised learning, Transfer learning, Unsupervised learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Mid-Level (3-5 Years),MASc in Aerospace Science & Engineering,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Full Time, Internship, Co-op","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Toronto,True,True,True,True e232383b-d998-4375-9bc2-0cc63d84571e,m.kaviani.se@gmail.com,Mitra,Kaviani,https://talenthub.vectorinstitute.ai/profiles/2225777/view_image/2017-09-03_001.JPG,Experienced Data scientist ,"Experienced Research Assistant with a demonstrated history of working in the higher education industry. Skilled in Data Visualization, Data Science, Machine Learning, NLP, SAS, SPSS, Python, and RStudio.",,,,,https://www.linkedin.com/in/mitrakaviani/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e232383b-d998-4375-9bc2-0cc63d84571e/resume,,,,,,2021-02-10T15:42:17.709Z,2021-02-10T20:31:09.373Z,False,False,Recognized Masters Program,Yes,Post Graduate Affiliate,,Already Graduated,,Ms.,https://www.linkedin.com/in/mitrakaviani/,"Data science, Machine learning, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,"Education, Financial Services, Health, Software, Technology (Information and Media)","Full Time, Internship, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",University of Guelph,True,True,True,True 34f495eb-4336-43c2-93d2-99c77426b43c,saha.sajal.bd@gmail.com,Sajal,Saha,https://talenthub.vectorinstitute.ai/profiles/2839779/view_image/1647831810650.jpeg,Research Assistant@Western University | Former Software Engineer@Samsung Electronics,"I am a graduate student at Western University, Canada pursuing my Ph.D. in Computer Science. My research interest includes machine learning, deep learning, cyber-security, and traffic forecasting. Currently, I am working on network anomaly prediction, network failure prediction, and network traffic forecasting using machine learning and deep learning as a Mitacs Accelerate. @@ -2009,36 +2032,56 @@ f81ba894-0ddd-4992-9867-0e919e1f2554,patel2a4@uwindsor.ca,Khush,Patel,https://ta 34c9e4a9-99b2-4b11-9850-d9a26dbfdd69,danishnxt@gmail.com,Danish,Farid,https://talenthub.vectorinstitute.ai/profiles/1570817/view_image/0.jpeg,Machine Learning and Data Science Grad Student,"I am a University of Waterloo Masters of Data Science and AI grad student, seeking a co-op position for Summer 2020. I am looking for a position that allows me to work on practical machine learning and/or data science and analytics. I have several years of experience working within the domain of Machine Learning and Data Science. Over research and industry internships I have worked with deep neural networks for classification and language modelling, and data science techniques for analyzing customer behaviors and finding trends in large quantities of data. My projects further bolster my ability to handle and process big data and gain useful insight from it. ",+12269788368,,http://github.com/danishnxt,,https://linkedin.com/in/danishnxt/,danishnxt,True,False,https://canadaai.jobboard.io/api/v1/profiles/34c9e4a9-99b2-4b11-9850-d9a26dbfdd69/resume,Waterloo,Ontario,,Canada,linkedin,2019-12-20T15:14:00.744Z,2020-01-19T21:41:40.782Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://linkedin.com/in/danishnxt/,,Graduate Degree (Masters),,Master of Data Science and AI,"Financial Services, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development)","Internship, Co-op",,University of Waterloo,True,True,True,True -66530b22-aded-4612-a6dc-30d0d45f2d45,brandonlbowen@gmail.com,Brandon,Bowen,https://talenthub.vectorinstitute.ai/profiles/2547349/view_image/1517620772574.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-10-15T01:38:09.225Z,2021-10-15T01:38:09.402Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,False,True,True -48fa6163-f4b5-4933-93c5-d10f97b4eb79,brucelong.li@rotman.utoronto.ca,Bruce,Li,https://talenthub.vectorinstitute.ai/profiles/2124500/view_image/Bruce_Li__EMBA40_.jpeg,SENIOR CONSUMER & TECHNLOGY SALES LEADER,"EXECUTIVE LEADERSHIP -Senior sales leader with 15 years’ experience with expertise in global sales, marketing, business development, P&L management, major account strategy development, consumer channel & multiple brand management. -TELECOM & CONSUMER EXPERTISE -Broadly based business experience spans Technology Development, Engineering, Network Implementation, Sourcing & Procurement, Marketing, Sales and KA Management for Carrier, Enterprise and Retail clients. -INTERNATIONAL BUSINESS PROTOCOL -Decisive, passionate, and results-oriented, advocating a “just do it” philosophy with a consistent record of success in Telecom and CPG/Home Appliance sectors for North American & European markets. ",4168959178,,,,https://www.linkedin.com/in/bruce-li-a2389539/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/48fa6163-f4b5-4933-93c5-d10f97b4eb79/resume,Toronto,Ontario,,Canada,,2020-11-06T15:01:30.191Z,2020-11-06T17:06:32.451Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/bruce-li-a2389539/,,Graduate Degree (Masters),Senior Level (5+ Years),Executive MBA,"Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Contract, Capstone Project",,University of Toronto,True,True,True,True -3b451783-b9c3-4886-ac0a-7006671977a8,gjzhang1@gmail.com,Guojun,Zhang,https://talenthub.vectorinstitute.ai/profiles/2091011/view_image/0.jpeg,PhD Student,"I am a fourth-year Ph.D. student in the David R. Cheriton School of Computer Science at the University of Waterloo, and am also a student affiliate of the Vector Institute. My supervisors are Prof. Pascal Poupart and Prof. Yaoliang Yu. I am working on optimization problems in machine learning. Before my Ph.D. program, I was a graduate student at the Perimeter Institute working with Prof. Freddy Cachazo on theoretical physics. ",2267920887,,https://cs.uwaterloo.ca/~g39zhang/,,https://www.linkedin.com/in/guojun-zhang-bbb009a4/,gjzhang1,True,False,https://canadaai.jobboard.io/api/v1/profiles/3b451783-b9c3-4886-ac0a-7006671977a8/resume,Waterloo,Ontario,,Canada,linkedin,2020-10-07T19:02:32.119Z,2020-10-29T02:21:22.335Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,ON,Already Graduated,,Mr.,https://www.linkedin.com/in/guojun-zhang-bbb009a4/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),PhD of Computer Science,"Financial Services, Technology (Information and Media), Technology (Product Development)","Full Time, Internship",,University of Waterloo,True,True,True,True -e6c5f8f2-4703-4d55-9b99-4178ea1f4feb,elmelloukizineb@gmail.com,Zineb,El Mellouki,https://talenthub.vectorinstitute.ai/profiles/1944086/view_image/download.png,Economics and Data Science,,5145169905,,,,https://www.linkedin.com/in/zineb-el-mellouki-a6919b87/,elmelloukizineb,True,False,https://canadaai.jobboard.io/api/v1/profiles/e6c5f8f2-4703-4d55-9b99-4178ea1f4feb/resume,Toronto,Ontario,,Canada,,2020-08-20T16:44:44.002Z,2020-09-24T12:58:24.888Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Miss.,https://www.linkedin.com/in/zineb-el-mellouki-a6919b87/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,"Education, Financial Services, Health, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,,University of Toronto,True,True,True,True -f3e30895-0c7a-4fc6-b513-1b82dda71f95,vbauman3@gmail.com,Valerie,Bauman,https://talenthub.vectorinstitute.ai/profiles/1602818/view_image/headshot.jpg,MASc Student - Artificial Intelligence,"I'm a current MASc student in engineering studying artificial intelligence and I love all things numbers and machine learning. I have experience in machine learning, optimizing code, and programming in MATLAB, SQL, R, and Python (including numpy, pandas, keras, and scikit-learn). My undergraduate degree was in Biomedical Engineering and my graduate studies involve human activity recognition using sensor data collected from the lower limbs to be used in exoskeleton control. I'm actively searching for full-time employment and I'm open to any opportunity that helps make the world a better place.",6479689579,,,,https://linkedin.com/in/val-bauman,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f3e30895-0c7a-4fc6-b513-1b82dda71f95/resume,,,,,linkedin,2020-01-15T16:03:47.395Z,2021-03-25T14:16:06.073Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Ms.,https://www.linkedin.com/in/val-bauman-085916107/,"Time-series forecasting and modelling, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Applied Science - Engineering,"Financial Services, Health, Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Machine Learning Engineer",University of Guelph,True,False,True,True -6b52a254-f3ce-4149-8a95-ba177e827ed2,daniel.tobon@uao.edu.co,Daniel,Tobon Collazos,https://talenthub.vectorinstitute.ai/profiles/1931459/view_image/0.jpeg,Machine Learning Engineer,"Mechatronics Engineer professionally since April 2019 -Enthusiastic and passionate about Computer vision and software development -Prototyped software for embedded systems as a researcher in the Intelligent Mechatronics Research Centre (IMaR) -Learning in my free time about deep learning, machine learning, and computer science -Developing skills in software architecture: design patterns, robust, safety-critical, efficient code, data structures -Implemented state-of-the-art ML pipelines as a Machine Learning Scientist at AITuring -I wish to collaborate in a team as a Python developer, Software engineer, Research software engineer, Computer vision or deep learning engineer",,,https://github.com/danielTobon43,,https://www.linkedin.com/in/danieltobonco43/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6b52a254-f3ce-4149-8a95-ba177e827ed2/resume,,,,Colombia,linkedin,2020-08-13T13:40:53.599Z,2020-08-13T13:40:53.795Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,No associated,Mr.,https://www.linkedin.com/in/danieltobonco43/,"Computer vision, Deep learning, Machine learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Mechatronics Engineering,Type of Work is More Important to me than Sector,Full Time,"Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,False,True,True -2548fe45-4ed2-471f-b305-97dd4c05f7af,si_trikha@yahoo.co.in,Saxam,Trikha,https://talenthub.vectorinstitute.ai/profiles/1931818/view_image/0.jpeg,Data Science and Analytics,,647-818-3958,,,,https://www.linkedin.com/in/saxamtrikha/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2548fe45-4ed2-471f-b305-97dd4c05f7af/resume,Toronto,Ontario,,Canada,linkedin,2020-08-13T16:27:31.742Z,2020-08-13T16:27:32.024Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/saxamtrikha/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management Analytics,"Financial Services, Health, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Contract",,University of Toronto,True,True,True,True -6f79734b-62a7-4ce0-869a-b055662f3d77,yassir.elmesbahi@gmail.com,Yassir,EL MESBAHI,https://talenthub.vectorinstitute.ai/profiles/1933385/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-08-14T12:25:32.323Z,2020-08-14T12:25:32.575Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/yassir-el-mesbahi/,,,,,,,,,True,True,True,True -984198a4-7866-4330-ba6c-fe24483011e6,smahesh2694@gmail.com,Mahesh,Sudhakar,https://talenthub.vectorinstitute.ai/profiles/1646952/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-02-18T07:05:39.520Z,2020-02-18T07:05:39.752Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/mahesh-sudhakar-utoronto/,,,,,,,,,True,True,True,True -826fc188-6df0-4b7a-9829-4725bde6a996,rohan_nuttall@hotmail.com,Rohan,Nuttall,https://talenthub.vectorinstitute.ai/profiles/1613716/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-23T00:20:06.956Z,2020-01-23T00:20:07.389Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/rohan-nuttall/,,,,,,,,,True,False,True,True -30abdb8f-e467-42ba-a47b-03db5f36cf59,ahsannadeem1700@outlook.com,Ahsan,Nadeem,https://talenthub.vectorinstitute.ai/profiles/1556743/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-08T17:49:15.281Z,2019-12-08T17:49:15.486Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/ahsan-nadeem-2288b7193/,,,,,,,,,True,False,True,True -0d18d4b7-a2b1-40c5-85ae-8c5f03b8d130,redwan.ah09@gmail.com,Redwan,Ahsan,https://talenthub.vectorinstitute.ai/profiles/1606203/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-17T17:37:36.719Z,2020-01-17T17:37:36.908Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/redwanahsan-4205b919b/,,,,,,,,,True,True,True,True -ab7d84f2-0e60-44b9-b7c3-4aaeeb24b6e2,amreeth15@gmail.com,Amreeth,Rajan,https://talenthub.vectorinstitute.ai/profiles/1612113/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-21T23:12:49.696Z,2020-01-21T23:12:49.873Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/amreeth-rajan/,,,,,,,,,True,False,True,True +a8c5f84d-34b9-4937-b50c-7370c844f8be,19xz31@queensu.ca,Xiaozhou,Zhang,https://talenthub.vectorinstitute.ai/profiles/1571198/view_image/0.jpeg,Analytic Professional with Experienced in Energy Markets,"• Energetic and self-motivated consulting professional with extensive experience in Energy Markets +• Result-oriented team player with excellent analytical, communication and organizational skills +• Fast learner with the ability to work in a deadline-driven team and a strong sense of accountability",6473885333,,,,https://www.linkedin.com/in/josephzhang/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a8c5f84d-34b9-4937-b50c-7370c844f8be/resume,Toronto,Ontario,,Canada,linkedin,2019-12-20T21:42:47.750Z,2019-12-20T21:42:48.172Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/josephzhang/,,,,MMA,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract",,Queen's University,True,True,True,True +781f3abc-0116-4c2a-922e-845eeb780fac,hsonetta@gmail.com,Hardik,Sonetta,https://talenthub.vectorinstitute.ai/profiles/1550613/view_image/0.jpeg,Student at University of Windsor,,2269615793,,,,https://linkedin.com/in/hardiksonetta,N9B1C5,True,False,https://canadaai.jobboard.io/api/v1/profiles/781f3abc-0116-4c2a-922e-845eeb780fac/resume,Windsor,Ontario,,Canada,linkedin,2019-12-03T15:49:30.621Z,2019-12-03T15:49:30.810Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Spring/Summer 2021,,Mr.,https://linkedin.com/in/hardiksonetta,,Graduate Degree (Masters),,Masters in Computer Science,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Internship, Co-op",,University of Windsor,True,False,True,True +c4e4de6e-4556-449e-80bc-a9935a8475f3,melbadry@uwo.ca,Moustafa,Shaker,https://talenthub.vectorinstitute.ai/profiles/1561131/view_image/DSC_0189.jpg,Graduate Student | Experienced in Data Analytics and Transforming Data into Insights | Team Player,"Graduate student with professional experience in telling compelling stories with data to solve complex problems and unlock opportunities for innovation, productivity, and growth. +Technical skills and knowledge include Python, R, HTML, PHP, C++, Bash, MongoDB, SQL, Hadoop, MapReduce, scikit-learn, Keras, H2O, OpenNMT, TensorFlow, Pandas, and Numpy. +",6476575859,,https://github.com/m-shaker,,https://www.linkedin.com/in/moustafashaker/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c4e4de6e-4556-449e-80bc-a9935a8475f3/resume,London,Ontario,,Canada,,2019-12-11T19:09:19.544Z,2020-06-05T03:31:04.401Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/moustafashaker/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Analytics (MDA),"Construction or Infrastructure, Financial Services, Manufacturing , Professional Services (e.g Consulting), Retail, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract",,Western University,True,True,True,True +5f31004c-c29d-4edf-a86e-2de8ee1dddb8,carter.green+vector@icloud.com,Carter,Green,https://talenthub.vectorinstitute.ai/profiles/1932150/view_image/37322587_a1e4cifpk0.jpg,,,,,,,https://www.linkedin.com/in/carter-green-b7592280/,,True,False,,Ottawa,Ontario,,Canada,,2020-08-13T19:40:13.693Z,2020-09-24T15:13:57.290Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/carter-green-b7592280/,,Graduate Degree (Masters),Entry Level (0-2 Years),MASc Electrical and Computer Engineering,"Financial Services, Health, Software, Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Internship, Co-op, Capstone Project",,University of Ottawa,True,True,True,True +42361ff8-56ab-49c1-889b-650fab87a03c,dom.silk@gmail.com,Dominic,Silk,https://talenthub.vectorinstitute.ai/profiles/1584350/view_image/0.jpeg,,,4166685574,,,,https://www.linkedin.com/in/dominicsilk/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/42361ff8-56ab-49c1-889b-650fab87a03c/resume,Toronto,Ontario,,Canada,linkedin,2020-01-05T21:11:30.447Z,2020-01-05T21:11:30.908Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/dominicsilk/,,,,Master's of Management Analytics (MMA),"Financial Services, Manufacturing , Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,,University of Toronto,True,True,True,True +bd30e819-1374-4fa8-a4f1-7d9cf7cc2b28,01shilpu@gmail.com,SHILPU,SRIVASTAVA,https://talenthub.vectorinstitute.ai/profiles/1596056/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-12T01:03:18.126Z,2020-01-12T18:58:29.073Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,,https://www.linkedin.com/in/shilpu-srivastava-348368aa/,,Graduate Degree (Masters),,,,,,,True,True,True,True +843f6354-d0a2-4e04-bc55-9c38bb8a5d3a,rosalielg@outlook.com,Rosalie,Levesque-Giguere,https://talenthub.vectorinstitute.ai/profiles/1590872/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-08T18:58:23.467Z,2020-01-08T18:58:24.188Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/rosalie-l-giguere/,,Undergraduate Degree (Bachelors),,,,,,,True,False,True,True +f05277a9-959a-44ce-88b0-19b5bfb1d213,hiranyamhk@gmail.com,Hiranyam,Karnik,https://talenthub.vectorinstitute.ai/profiles/1597378/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-12T23:26:12.028Z,2020-01-12T23:26:12.250Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/hiranyamkarnik/,,Undergraduate Degree (Bachelors),,,,,,,True,False,True,True +37d8ea88-6979-4b09-8664-7fbf5d142b8b,sdhruv96@gmail.com,Dhruv,Sharma,https://talenthub.vectorinstitute.ai/profiles/1596169/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-12T06:53:32.453Z,2020-01-12T06:53:32.638Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/dhruvsharmauw/,,Undergraduate Degree (Bachelors),,,,,,,True,False,True,True +9212621a-7b04-456b-b7b0-526df75bcd46,glnrao@schulich.yorku.ca,Lakshmi Narasinga Rao,Gudimella,https://talenthub.vectorinstitute.ai/profiles/1572029/view_image/0.jpeg,Experienced Business/System Analyst and Solution Designer,"I have 10+ years of experience in the IT Consulting industry as a Business/System Analyst and Solution Designer. I enjoy working with diverse groups of people and learning new things in the process. Over the years, I was involved in implementing solutions and transforming business workflows in the finance industry, especially insurance premium financing and capital markets. I was able to build my industry knowledge in these areas during the assignments at multiple client locations in the United States and in India. +Managed client relationships and as a technology product owner, led implementation of complex enterprise transformations and modernizing initiatives in Capital Markets domain for the client Northern Trust - a leading financial institution in U.S. Strong exposure to strategy definition, project execution and delivery in agile framework, working with virtual teams from multiple business units and an understanding of data science and machine learning algorithms. +My career objective is to leverage the work experience, problem-solving skills and analytical mindset to play a key role in improving IT road-maps and business workflows for organizations in the field of Data Science / Machine Learning. +",4165588171,,,,https://www.linkedin.com/in/lakshminrgudimella,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9212621a-7b04-456b-b7b0-526df75bcd46/resume,Toronto,Ontario,,Canada,linkedin,2019-12-22T05:39:36.422Z,2020-09-09T22:30:09.808Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/lakshmi-n-r-gudimella-4a8348187/,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Business Analytics,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Product Development)","Full Time, Contract",,York University,True,True,True,True +b1233d3f-6428-4fe4-8a4c-a7685de12580,srovins@yahoo.ca,Svetlana,Rovinska,https://talenthub.vectorinstitute.ai/profiles/2187010/view_image/headshot3.jpg,"Experienced IT professional and Graduate Student at Ryerson University, Data Science and Analytics.","Most of my work experience is related to data modeling and developing analytical tools for large sets of financial data in companies such as CIBC and BMO Capital Markets. Currently I am pursuing Master's degree at Ryerson University in Data Science and Analytics program and looking for part-time work opportunities in the areas of Big Data Analytics, Machine Learning and AI. +",647-831-5252,,,,https://www.linkedin.com/in/svetlana-rovinska-88150813/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b1233d3f-6428-4fe4-8a4c-a7685de12580/resume,Toronto,Ontario,,Canada,linkedin,2021-01-11T23:29:27.635Z,2021-05-18T14:45:48.210Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/svetlana-rovinska-88150813/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Senior Level (5+ Years),Data Science and Analytics,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Contract, Capstone Project","Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer",Ryerson University,True,True,True,True +2f43d7a5-2d27-40d3-93ff-e4955064c6a9,awmnahasad@gmail.com,Awmnah,Asad,https://talenthub.vectorinstitute.ai/profiles/1978429/view_image/58384308_385798298813514_891530911663783936_n.jpg,Masters of Management in AI Student at the Schulich School of Business,"Hello. My name is Awmnah Asad and I am currently a Master's of Management in AI student at the Schulich School of Business. I am also an iBBA graduate from the Schulich School of Business and I have specialized in marketing and finance. I am really excited to combine my business background with my knowledge of AI. I also enjoy investing, creative writing, e-commerce, and travelling.",,,,,https://www.linkedin.com/in/awmnahasad/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2f43d7a5-2d27-40d3-93ff-e4955064c6a9/resume,Toronto,Ontario,,Canada,,2020-09-16T01:12:31.243Z,2020-09-24T03:28:36.769Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/awmnahasad/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management in Artificial Intelligence,"Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Telecommunications",Full Time,,York University,True,True,True,True +191ffe4a-cc28-4a55-bbce-81eefb59a4af,smarthitarth1@gmail.com,Hitarth,Smart,https://talenthub.vectorinstitute.ai/profiles/1980438/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-09-17T18:39:07.120Z,2020-09-17T18:39:07.887Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/hitarthsmart/,,,,,,,,,True,False,True,True +5bd7720f-3e4d-4941-87a4-8361686402fe,yashesh.savani@dal.ca,Yashesh,Savani,https://talenthub.vectorinstitute.ai/profiles/2380305/view_image/1589062215216.jpeg,A.I Engineer (Junior),,9028776996,,,,https://www.linkedin.com/in/yasheshsavani/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5bd7720f-3e4d-4941-87a4-8361686402fe/resume,Halifax,Nova Scotia,,Canada,linkedin,2021-06-01T03:42:50.990Z,2021-06-01T03:42:51.229Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/yasheshsavani/,,Graduate Degree (Masters),Entry Level (0-2 Years),Applied Computer Science,,Full Time,"Data Analyst, Data Scientist, Machine Learning Engineer, Software Engineer",Other,True,True,True,True +4c90c1d9-5def-4394-afdc-c0ddfa6ee196,zoey.lyu@mail.utoronto.ca,Zoey,Lyu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,4168385786,,,,https://www.linkedin.com/in/zoeylyu/,,True,True,,Toronto,Ontario,,Canada,linkedin,2020-09-22T22:45:56.793Z,2021-04-23T17:16:18.436Z,False,False,Connected to Vector Research,No,Vector Faculty or Faculty Affiliate,Scott Sanner,Already Graduated,,Ms.,https://www.linkedin.com/in/zoeylyu/,,Graduate Degree (Masters),Entry Level (0-2 Years),Applied Machine Learning,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector",Full Time,,University of Toronto,True,True,True,True +c2f1ea5c-ac47-4017-bb0d-2d29f2d900ab,alir@vectorinstitute.ai,Ali,Ramezani-Kebrya,https://talenthub.vectorinstitute.ai/profiles/2093081/view_image/0.jpeg,,,,,https://www.comm.utoronto.ca/~aramezani/,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c2f1ea5c-ac47-4017-bb0d-2d29f2d900ab/resume,,,,,linkedin,2020-10-09T19:45:46.570Z,2020-10-13T18:54:54.848Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Daniel Roy,Already Graduated,,Dr.,https://www.linkedin.com/in/ali-ramezani-kebrya-6896b924/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Electrical and Computer Engineering,Type of Work is More Important to me than Sector,Full Time,,University of Toronto,True,True,True,True +32e9fc92-05e5-47cd-a14e-9247da755957,tsung.yu.simon.chen@gmail.com,Simon,Chen,https://talenthub.vectorinstitute.ai/profiles/2102711/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-10-15T13:15:11.751Z,2020-10-15T13:15:11.959Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,,Mr.,https://www.linkedin.com/in/tsung-yu-simon-chen-mph/,,Graduate Degree (Masters),Mid-Level (3-5 Years),MPH,Health,Full Time,,Other,True,False,True,True +48752193-96bd-460c-86de-3082a567da0f,jessiey@schulich.yorku.ca,Xinhui (Jessica),Yan,https://talenthub.vectorinstitute.ai/profiles/2077729/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-09-24T14:04:36.429Z,2020-09-24T14:04:36.592Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/xinhui-jessica-yan/,,,,,,,,,True,True,True,True +273906ab-0e71-44ea-8591-48cdee5bf151,nazreen.pm@gmail.com,Nazreen,PM,https://talenthub.vectorinstitute.ai/profiles/2073761/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-09-22T11:49:31.902Z,2020-09-22T11:49:32.067Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/nazreen-pm-a43a1121/,,,,,,,,,True,False,True,True +4837c1fa-ceab-44c7-863b-c7df2668d56c,jaswinderk@gmail.com,Jaswinder,Narain,https://talenthub.vectorinstitute.ai/profiles/2077818/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-09-24T15:14:41.753Z,2021-06-10T17:41:34.266Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/jaswindernarain/,,,,,,,,,True,True,True,True +af74d619-1bf1-4d22-b875-2bbfdcf02de2,faita.julian@gmail.com,Julian,Faita,https://talenthub.vectorinstitute.ai/profiles/2092291/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-10-09T02:59:53.766Z,2020-10-09T03:00:42.116Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/julianfaita/,,,,,,,,,True,False,True,True +a3ec650f-6597-4c1c-a545-58a76727f768,abraham.daniels@queensu.ca,Abraham,Daniels,https://talenthub.vectorinstitute.ai/profiles/2624580/view_image/Abe.jpeg,Experienced Omnia AI Manager ,"Abraham is a Manager in Deloitte’s Omnia AI practice. Abraham has over 8 years of experience working in the public and private domain and brings a strong background in intelligent automation, with a focus on operational efficiency and technical implementation. +Abraham has a Bachelor of Commerce from the University of Saskatchewan and is currently completing his Master’s in Management AI at the Smith School of Business, Queens University. Abraham is a results-driven practitioner, with a keen focus on organizational efficiency, process optimization, and end-user adoption",4313881689,,,,https://www.linkedin.com/in/abraham-daniels/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a3ec650f-6597-4c1c-a545-58a76727f768/resume,,,,,,2021-12-22T19:56:27.762Z,2021-12-28T00:38:43.627Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,linkedin.com/in/abraham-daniels/,,Graduate Degree (Masters),Senior Level (5+ Years),AI,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Product/Project Manager, Other ",Queen's University,True,False,True,True +331566ea-c2d4-4c1b-a963-7da4348a51fe,ofirshmulevich@gmail.com,Offir,Shmulevich,https://talenthub.vectorinstitute.ai/profiles/2444835/view_image/1611084798139.jpeg,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/331566ea-c2d4-4c1b-a963-7da4348a51fe/resume,,,,,linkedin,2021-07-23T06:23:16.431Z,2021-07-23T06:23:16.575Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,Referend by a common connection,Mr.,https://www.linkedin.com/in/offirshm/,"Deep learning, Meta-learning, Time-series forecasting and modelling",Undergraduate Degree (Bachelors),Senior Level (5+ Years),Bio medical engineering,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,False,True,True +532a1aa3-9c6e-4f1d-a22c-db90a7542165,basmammahdy@gmail.com,Basma,Mahdy,https://talenthub.vectorinstitute.ai/profiles/1560295/view_image/0.jpeg,MSc student,,3433336460,,,,https://www.linkedin.com/in/basma-mahdy,,True,False,https://canadaai.jobboard.io/api/v1/profiles/532a1aa3-9c6e-4f1d-a22c-db90a7542165/resume,Kingston,Ontario,,Canada,linkedin,2019-12-11T05:37:30.930Z,2019-12-11T15:20:50.742Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,ON,,,Miss.,https://www.linkedin.com/in/basma-mahdy,,,,Electrical and Computer Engineering,,"Full Time, Internship",,Queen's University,True,True,True,True +8f65e4ad-a4d7-4094-ac1b-c16850d109da,vamsi.batchu88@gmail.com,Vamsi,Batchu,https://talenthub.vectorinstitute.ai/profiles/2385750/view_image/1517617347776.jpeg,Experience Data Science Analytics professional,"Experienced in Analyzing huge data sets and find Business Insights using tools like Python, SQL, R, Tableau. I have both geometrical and mathematical intuition on Machine Learning and Deep Learning algorithms",4165540878,,,,https://www.linkedin.com/in/vamsi-batchu/,,True,False,,Toronto,Ontario,,Canada,linkedin,2021-06-05T04:24:55.007Z,2021-06-05T04:24:55.216Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/vamsi-batchu/,,Graduate Degree (Masters),Senior Level (5+ Years),Masters of Management in Artificial Intelligence,"Construction or Infrastructure, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Full Time, Internship, Co-op","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",Queen's University,True,True,True,True +219c6f29-65cf-4bef-81eb-459f0ff98ed7,ibmcsecu@gmail.com,Ibrahim Mohammed,Sayem,https://talenthub.vectorinstitute.ai/profiles/2346429/view_image/125861-.jpg,,,5198515434,,,,,,True,False,,,,,,,2021-05-06T05:32:58.079Z,2021-10-15T18:31:33.124Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,Currently I am not associated with Vector Institute,Mr.,https://www.linkedin.com/in/ibrahim-mohammed-sayem-928a1510b/,"AI safety, Data science, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),M.Sc. in Computer Science,"Education, Financial Services, Public Administration (i.e Gov't), Software, Telecommunications, Transportation",Internship,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Western University,True,True,True,True +d6d540d6-d918-48e6-882b-72ebf0bbce42,nilakjhc@gmail.com,Nilakshan,Kunananthaseelan,https://talenthub.vectorinstitute.ai/profiles/2301288/view_image/1517499582795.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-04-05T13:48:24.666Z,2021-04-05T13:48:24.820Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/knilakshan20/,,,,,,,,,True,False,True,True +657f8f4a-03dd-4cd6-a15b-6a18e5747621,c36fu@uwaterloo.ca,Chuck,"Fu, MMath",https://talenthub.vectorinstitute.ai/profiles/2327616/view_image/1575432624952.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-04-22T12:18:07.593Z,2021-04-22T19:52:26.629Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/chuck-fu/,,,,,,,,,True,True,True,True +95995d73-b131-4b3b-b1fc-c59cf6171318,vamsilingamaneni@live.ca,Vamsi,Lingamaneni,https://talenthub.vectorinstitute.ai/profiles/2438678/view_image/1581981960716.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-07-17T07:06:11.590Z,2021-07-17T07:06:11.763Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/vamsi-lingamaneni/,,,,,,,,,True,False,True,True +0f8e4605-517a-4d18-a5c8-e8af516a0f8e,raphaelletseng@gmail.com,Raphaëlle,Tseng,https://talenthub.vectorinstitute.ai/profiles/2449701/view_image/1611332941318.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-07-28T02:24:50.885Z,2021-07-28T02:24:51.099Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/rapha%C3%ABlletseng/,,,,,,,,,True,True,True,True +50fa8c46-2f2f-4ecb-806a-ae5a759a7d37,jingjun.chen@mail.mcgill.ca,Jingjun(Victor),Chen,https://talenthub.vectorinstitute.ai/profiles/2444663/view_image/1584638520007.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-07-23T00:09:23.329Z,2021-07-23T00:09:23.529Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/jingjun-victor-chen/,,,,,,,,,True,True,True,True +256ae919-129f-4c9b-8781-035ccd92eff6,desiremanatse@gmail.com,DESIRE,MANATSE,https://talenthub.vectorinstitute.ai/profiles/2359243/view_image/1611688523507.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-05-16T05:01:08.735Z,2021-05-16T05:01:09.062Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/desire-manatse-75b68342/,,,,,,,,,True,True,True,True +062b05e8-7dca-46da-bfab-25251ef84445,singhalsoumye@gmail.com,Soumye,Singhal,https://talenthub.vectorinstitute.ai/profiles/2276943/view_image/1572942382220.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-03-18T16:47:10.955Z,2021-03-19T22:53:35.803Z,False,False,Connected to Another AI Institute,Yes,,,,,,https://www.linkedin.com/in/singhalsoumye/,,,,,,,,,True,True,True,True f064d238-7f3c-48f4-8cf2-42870c70e39e,jonathanf.baril+linkedin@gmail.com,Jonathan-F.,Baril,https://talenthub.vectorinstitute.ai/profiles/2172046/view_image/1537853842324.jpeg,"Professional Engineer, Data Enthusiast, Unsupervised Learner","I remember when my journey into the AI space started: I was trying to learn how to program an iOS app for an NSERC research project in undergrad when I pulled a book from the lab library called ""Big Data: A Revolution That Will Transform How We Live, Work and Think"". Clearly it did because years later it took me to Toronto to study and work on medical AI.",647-313-7049,,,,https://www.linkedin.com/in/jonathanfbaril/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f064d238-7f3c-48f4-8cf2-42870c70e39e/resume,,Ontario,,Canada,linkedin,2020-12-26T17:24:58.164Z,2021-01-14T01:40:42.943Z,False,False,Connected to Vector Research,Yes,Other/Unsure,Babak Taati,Already Graduated,"Completed MHSc in Clinical Engineer at the University of Toronto with thesis committee consisting of Dr.'s Joseph Cafazzo, Heather Ross, Cedric Manlhiot and Babak Taati",Mr.,https://www.linkedin.com/in/jonathanfbaril/,"Data science, Healthcare and/or medical imaging, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Clinical Engineering,"Education, Health, Professional Services (e.g Consulting), Technology (Information and Media), Type of Work is More Important to me than Sector",Full Time,,University of Toronto,True,False,True,True +9970088d-0952-44f1-83f7-451eeaff137b,msuhail153@gmail.com,Mohammed,Suhail,https://talenthub.vectorinstitute.ai/profiles/2113495/view_image/0.jpeg,,,7789285285,,http://mohammedsuhail.net,,https://www.linkedin.com/in/mohammed-suhail-3653969a/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9970088d-0952-44f1-83f7-451eeaff137b/resume,Vancouver,British Columbia,,Canada,linkedin,2020-10-26T20:46:30.303Z,2020-10-26T20:46:30.460Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Leonid Sigal,Fall 2024 (August - November),,Mr.,https://www.linkedin.com/in/mohammed-suhail-3653969a/,,Postgraduate Degree (PhD),Entry Level (0-2 Years),PhD in computer Science,"Technology (Information and Media), Technology (Product Development)",Internship,,Other,True,True,True,True +2aed61c5-809a-4931-b5df-3e6c823ba511,mmohan619@hotmail.com,Michael,Mohan,https://talenthub.vectorinstitute.ai/profiles/2142600/view_image/1568734744650.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-11-25T21:50:14.023Z,2020-12-17T00:23:07.230Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/micmohan/,,,,,,,,,True,True,True,True +46ad0e56-b0a6-4e9d-a78a-4c0f764f66af,ankitvm@schulich.yorku.ca,Ankit,Misra,https://talenthub.vectorinstitute.ai/profiles/1644764/view_image/0.jpeg,Analytics Professional | Master of Business Analytics | MBA | Technology Consulting,"Analytics professional with over eight years of experience in Data Science and Machine Learning functional consulting for Retail and Financial Services industry. +Strong quantitative & business background and passionate about Analytics and AI-led digital transformation. ",6475814767,,,,https://www.linkedin.com/in/ankitvm/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/46ad0e56-b0a6-4e9d-a78a-4c0f764f66af/resume,Toronto,Ontario,,Canada,linkedin,2020-02-14T19:40:19.556Z,2020-02-15T01:23:03.400Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/ankitvm/,,Graduate Degree (Masters),,Master of Business Analytics,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Contract",,York University,True,True,True,True eb65f323-3f86-4aa2-b996-f8e327edf352,m.jalaeian@yahoo.com,Mohsen,Jalaeian Farimani,https://talenthub.vectorinstitute.ai/profiles/2245999/view_image/MJF_4x4_s4.jpg,"Experienced Manager, roboticist, Control Engineer, Machine Learning Engineer,","Mohsen Jalaeian received his Ph.D. in the field of intelligent robot control for lower limb rehabilitation. His research and work interests include robotics, control, optimization, machine learning and artificial intelligence with specific attention to deep reinforcement learning.",+98(915)3128061,,,,https://www.linkedin.com/in/mohsen-jalaeian-f-84215741/,f_jalaeian,True,False,https://canadaai.jobboard.io/api/v1/profiles/eb65f323-3f86-4aa2-b996-f8e327edf352/resume,,,,,,2021-02-25T13:33:28.254Z,2021-02-25T13:33:28.279Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,Email,Dr.,https://www.linkedin.com/in/mohsen-jalaeian-f-84215741/,"Machine learning, Reinforcement learning, Robotics",Postgraduate Degree (PhD),Senior Level (5+ Years),Control Engineering,"Education, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Product Development)","Full Time, Co-op, Contract",,Other,True,True,True,True 63a11b0d-7704-42aa-bce2-f8748fb13811,wafiqsyed@queensu.ca,Wafiq,Syed,https://talenthub.vectorinstitute.ai/profiles/2230625/view_image/Headshot_3.png,Technical Product Manager at Walmart Canada,,4165536418,,https://medium.com/@wafiqsyed,,https://www.linkedin.com/in/wafiqsyed/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/63a11b0d-7704-42aa-bce2-f8748fb13811/resume,Mississauga,Ontario,,Canada,,2021-02-14T18:14:17.307Z,2021-02-14T18:14:17.380Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/wafiqsyed/,"Healthcare and/or medical imaging, Neuroscience, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management in Artificial Intelligence,"Health, Professional Services (e.g Consulting), Retail, Technology (Information and Media)","Full Time, Internship, Co-op, Contract, Capstone Project",,Queen's University,True,True,True,True daaabadf-ce13-48f7-b1e5-071bd8eedbff,20m@queensu.ca,Milind,Milind,https://talenthub.vectorinstitute.ai/profiles/2253576/view_image/IMG_8076-PB__2_.jpg,,,,,,,https://www.linkedin.com/in/milind-gaharwar/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/daaabadf-ce13-48f7-b1e5-071bd8eedbff/resume,,,,,,2021-03-03T07:57:43.376Z,2021-03-03T07:57:43.403Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/milind-gaharwar/,"Computer vision, Data science, Deep learning",Graduate Degree (Masters),Senior Level (5+ Years),Masters in Management of Artificial Intelligence,"Construction or Infrastructure, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Type of Work is More Important to me than Sector",Full Time,,Queen's University,True,False,True,True -9970088d-0952-44f1-83f7-451eeaff137b,msuhail153@gmail.com,Mohammed,Suhail,https://talenthub.vectorinstitute.ai/profiles/2113495/view_image/0.jpeg,,,7789285285,,http://mohammedsuhail.net,,https://www.linkedin.com/in/mohammed-suhail-3653969a/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9970088d-0952-44f1-83f7-451eeaff137b/resume,Vancouver,British Columbia,,Canada,linkedin,2020-10-26T20:46:30.303Z,2020-10-26T20:46:30.460Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Leonid Sigal,Fall 2024 (August - November),,Mr.,https://www.linkedin.com/in/mohammed-suhail-3653969a/,,Postgraduate Degree (PhD),Entry Level (0-2 Years),PhD in computer Science,"Technology (Information and Media), Technology (Product Development)",Internship,,Other,True,True,True,True -01cd885e-f8ac-43b4-a1c4-e2b8297e74a7,saeed@eecs.yorku.ca,Saeed,Ghorbani,https://talenthub.vectorinstitute.ai/profiles/2124487/view_image/profile_pic.jpeg,"PhD Student, York University","My research interests are machine learning, computer vision, computer graphics, and computer animation",,,https://saeed1262.github.io/,,https://www.linkedin.com/in/saeed-ghorbani-ba4872136/,SaGhorbani,True,False,https://canadaai.jobboard.io/api/v1/profiles/01cd885e-f8ac-43b4-a1c4-e2b8297e74a7/resume,Toronto,Ontario,,Canada,,2020-11-06T15:01:26.049Z,2020-11-06T16:25:25.425Z,False,False,Recognized Masters Program,Yes,Student or Postdoc of a Vector Faculty Member,Marcus Brubaker,Already Graduated,,Mr.,https://www.linkedin.com/in/saeed-ghorbani-ba4872136/,,Graduate Degree (Masters),Mid-Level (3-5 Years),ELectrical Engineering and Computer Science,"Construction or Infrastructure, Education, Health, Manufacturing , Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op",,York University,True,True,True,True 99a653f9-213d-4149-9cb6-670bd9f27c2a,jinggeqianyu1991@gmail.com,Yu,Qian,https://talenthub.vectorinstitute.ai/profiles/2110933/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-10-23T16:31:32.439Z,2020-10-23T16:31:32.655Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/yqian33/,,Graduate Degree (Masters),Senior Level (5+ Years),Computer Science,"Financial Services, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Contract",,Western University,True,False,True,True d85162ca-564a-4714-a269-eee702e7c481,reshmasri@gmail.com,Reshma Sri,Challa,https://talenthub.vectorinstitute.ai/profiles/2111737/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-10-24T16:38:22.400Z,2020-10-24T16:38:22.600Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/reshma-sri-challa-89b966114/,,,,,,,,,True,True,True,True e380db95-051f-4f3a-9864-487ca9660fac,yiweilu3r@gmail.com,Yiwei,Lu,https://talenthub.vectorinstitute.ai/profiles/2113388/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-10-26T18:25:33.658Z,2020-10-26T18:25:34.107Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/yiwei-lu-b89326183/,,Postgraduate Degree (PhD),,,,,,,True,True,True,True @@ -2046,81 +2089,62 @@ f6002bc1-0e04-423e-8498-ab10e2ad32ac,behailu04@gmail.com,Behailu,Dereje,https:// 5a62e02b-62f2-4a4e-953e-2091a30485df,connectwithprakash@gmail.com,Prakash,Chaudhary,https://talenthub.vectorinstitute.ai/profiles/2850433/view_image/1638234618682.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-06-10T04:36:23.199Z,2022-06-10T04:36:23.860Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/connectwithprakash/,,,,,,,,,True,True,True,True c8ee7ccd-0007-4802-bae1-b9eaf9ef5498,nabavinick@gmail.com,Nick,Nabavi,https://talenthub.vectorinstitute.ai/profiles/2715220/view_image/1591845915899.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-03-05T05:07:19.483Z,2022-03-05T05:07:19.904Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/nick-nabavi-neural-eng/,,,,,,,,,True,False,True,True c7e9e565-9d0b-46cf-8da5-f9a1dedc87db,ruthrash.hari@mail.utoronto.ca,Ruthrash,Hari,https://talenthub.vectorinstitute.ai/profiles/2255838/view_image/1590722728782.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-03-04T14:28:32.127Z,2021-03-04T14:28:32.283Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/ruthrash-hari-b5b790112/,,,,,,,,,True,True,True,True -a5f81e5c-42d2-4b90-829e-2d4aa8daaf9a,shane@smsegal.ca,Shane,Segal,https://talenthub.vectorinstitute.ai/profiles/2077016/view_image/IMG_0996.jpg,Computer Vision and Machine Learning Engineer,"I'm an experienced Software Developer with years of experience building applications at scale under my belt. I went back to earn my Master's Degree in Computer Science at York University after building full-stack applications. -I aim to solve problems in Machine Intelligence, create artificial agents that can see and understand the world around them, and design and engineer systems to democratize access to AI to better the lives of everyone. ",6472954261,,https://smsegal.ca,,https://www.linkedin.com/in/shanesegal/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a5f81e5c-42d2-4b90-829e-2d4aa8daaf9a/resume,Toronto,Ontario,,Canada,linkedin,2020-09-24T00:41:31.429Z,2020-12-10T02:27:00.566Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Marcus Brubaker,Already Graduated,,Mr.,https://www.linkedin.com/in/shanesegal/,"Computer vision, Deep learning, Interpretability",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,"Software, Technology (Information and Media), Technology (Product Development)",Full Time,,York University,True,True,True,True -85c0fc1f-8df9-4a7f-8f65-53e734ec0ccd,geetanjali1232@gmail.com,Geetanjali,.,https://talenthub.vectorinstitute.ai/profiles/2673519/view_image/1607724344619.jpeg,Queen's MMA Candidate- 2022 | Data Analytics & Management | Research Professional ,II am a Master of Management Analytics graduate from Queen's University with 5 years of experience in the Health Care sector. ,4168273330,,https://github.com/gmurari30,,https://www.linkedin.com/in/geetanjali30/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/85c0fc1f-8df9-4a7f-8f65-53e734ec0ccd/resume,,,,,linkedin,2022-02-02T00:38:54.796Z,2022-02-02T01:51:59.561Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/geetanjali30/,"Anomaly detection, Computational biology, Data science, Healthcare and/or medical imaging, Neuroscience, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Masters of Management Analytics,"Health, Professional Services (e.g Consulting), Type of Work is More Important to me than Sector","Full Time, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",Queen's University,True,True,True,True -bb5b843e-cba4-40a0-97e4-049c2f2dd12c,hngai@cs.toronto.edu,Hillary,Ngai,https://talenthub.vectorinstitute.ai/profiles/2110723/view_image/IMG_20201024_161307_937_2.jpg,Machine Learning Researcher,"Hillary Ngai is a MSc in Computer Science student at the University of Toronto and the Vector Institute, supervised by Prof. Frank Rudzicz. She recently graduated from Biomedical Engineering at the University of Waterloo and was a data scientist at Ultimate Software in Silicon Valley and Bell Canada in Toronto. Hillary is interested in natural language processing - specifically word embedding models, chatbots, reinforcement learning, out-of-distribution detection, and generative models. She is currently working on a visualization tool to detect and analyze out-of-distribution samples and a dialogue system for automatic diagnosis.",6478658811,,,,https://www.linkedin.com/in/hillary-ngai/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/bb5b843e-cba4-40a0-97e4-049c2f2dd12c/resume,Toronto,Ontario,,Canada,,2020-10-23T13:26:41.802Z,2021-01-28T03:06:29.917Z,False,False,Recognized Masters Program,Yes,Student or Postdoc of a Vector Faculty Member,Frank Rudzicz,Already Graduated,,Ms.,https://www.linkedin.com/in/hillary-ngai/,"Anomaly detection, Natural language processing, Reinforcement learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Education, Financial Services, Health, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Internship, Co-op, Contract",,University of Toronto,True,False,True,True -003eb05d-ca9a-45b8-b706-314684b8f3ec,shahrzad.shhp@gmail.com,Shahrzad,Hadayeghparast,https://talenthub.vectorinstitute.ai/profiles/2705998/view_image/Pic_3.jpg,Electrical and Computer Engineer,,4379831033,,https://scholar.google.ca/citations?user=5SztC-0AAAAJ&hl=en&oi=ao,,https://www.linkedin.com/in/shahrzad-hadayeghparast,,True,False,https://canadaai.jobboard.io/api/v1/profiles/003eb05d-ca9a-45b8-b706-314684b8f3ec/resume,Guelph,Ontario,,Canada,,2022-02-25T16:13:24.658Z,2022-02-26T00:52:32.235Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/shahrzad-hadayeghparast,"Deep learning, Optimization, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),Engineering,"Education, Manufacturing , Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Guelph,True,True,True,True -a40bdcdd-a9c6-4846-926d-7039d982235c,pcasgrain@gmail.com,Philippe,Casgrain,https://talenthub.vectorinstitute.ai/profiles/2114008/view_image/0.jpeg,,,,,https://p-casgrain.github.io/,,https://www.linkedin.com/in/philippe-casgrain-aab169134/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a40bdcdd-a9c6-4846-926d-7039d982235c/resume,,,,,linkedin,2020-10-27T10:48:17.567Z,2020-10-27T10:48:17.792Z,False,False,Connected to Vector Research,Yes,Other/Unsure,(formerly) Daniel Roy,Already Graduated,Former Post-Graduate Affiliate,Mr.,https://www.linkedin.com/in/philippe-casgrain-aab169134/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Mathematical Finance,"Construction or Infrastructure, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector",Full Time,,University of Toronto,True,True,True,True -f16559a2-fec7-49f5-bc93-9b8e04be60ca,tahseenaminhemel@gmail.com,Tahseen,Hemel,https://talenthub.vectorinstitute.ai/profiles/1603156/view_image/photo.jpg,"Data Scientist, Data Analyst, Credit Risk Analyst, Business Analyst",,6473959784,,https://github.com/TahseenAminHemel,,https://linkedin.com/in/tahseenaminhemel,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f16559a2-fec7-49f5-bc93-9b8e04be60ca/resume,Toronto,Ontario,,Canada,,2020-01-15T19:23:46.231Z,2020-11-17T15:31:21.947Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Mr.,https://linkedin.com/in/tahseenaminhemel,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Science in Data Science and Analytics,"Financial Services, Health, Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project",,Ryerson University,True,True,True,True -8d8a4c2b-1cb9-44d9-a983-791832231b39,dhararakesh@gmail.com,Rakesh,Dhara,https://talenthub.vectorinstitute.ai/profiles/1976039/view_image/0.jpeg,,,6475675746,,,,https://www.linkedin.com/in/dhararakesh,,True,False,,Toronto,Ontario,,Canada,linkedin,2020-09-13T22:30:50.161Z,2020-09-13T22:30:50.349Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/dhararakesh/,,Graduate Degree (Masters),Mid-Level (3-5 Years),MMA,"Professional Services (e.g Consulting), Retail, Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,,Queen's University,True,True,True,True -dc2ef1ad-fe4c-42a0-95f6-3a027fbdf725,ycaroravel@gmail.com,Ycaro,Dantas,https://talenthub.vectorinstitute.ai/profiles/2520558/view_image/dcc212b7-f764-4b8d-bcca-761ccdded305.jpg,,,,,,,https://www.linkedin.com/in/ycaroravel/,,True,False,,,,,,,2021-09-23T05:06:14.720Z,2021-09-23T05:06:14.760Z,False,False,Recognized Masters Program,Yes,Vector Scholarship Recipient,Melike Erol-Kantarci,Spring/Summer 2023 (April - July),,Mr.,,"Data science, Graphical models, Reinforcement learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Electrical and Computer Engineering (Applied AI Concentration),"Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications",Internship,"Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Ottawa,True,False,True,True -86a4776e-808b-4570-ad0a-9b19b1fdba0a,hurmaan99@gmail.com,Hassaan,Maan,https://talenthub.vectorinstitute.ai/profiles/2637764/view_image/1536186671651.jpeg,Computational biology and machine learning PhD student ,,,,https://hsmaan.com/,,https://www.linkedin.com/in/hmaan,,True,False,https://canadaai.jobboard.io/api/v1/profiles/86a4776e-808b-4570-ad0a-9b19b1fdba0a/resume,Toronto,Ontario,,Canada,linkedin,2022-01-05T17:33:59.979Z,2022-01-11T18:59:29.927Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Dr. Bo Wang,Fall 2024 (August - November),,Mr.,https://www.linkedin.com/in/hmaan,"Computational biology, Representation learning, Self-supervised learning",Postgraduate Degree (PhD),Entry Level (0-2 Years),PhD - Medical Biophysics,"Financial Services, Health, Professional Services (e.g Consulting), Software","Internship, Co-op","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",University of Toronto,True,False,True,True -e9821ef1-986a-40b7-98be-b6253a2c7137,raihanseraj@gmail.com,Raihan,Seraj,https://talenthub.vectorinstitute.ai/profiles/1900898/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-08-01T20:38:54.814Z,2020-08-01T20:38:55.017Z,False,False,Connected to Another AI Institute,Yes,,,,,,https://www.linkedin.com/in/raihan-seraj/,,,,,,,,,True,False,True,True -d88f1b60-bf5c-462d-bcb0-0ead2b739c14,rdeschaetzen@uwaterloo.ca,Rodrigue,de Schaetzen,https://talenthub.vectorinstitute.ai/profiles/2504443/view_image/profile1.jpeg,Graduate Student,"I am a Master's student in the Autonomous Systems Lab at the University of Waterloo. I graduated in 2021 from the University of British Columbia with a Bachelor of Science in Computer Science and Physics (Combined Honours program). My research interests lie in robotics and machine learning with a particular interest in applications such as service robots, self-driving cars, and mars exploration 🚀 !",,,https://rdesc.dev/,,https://www.linkedin.com/in/rodrigue-de-schaetzen/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d88f1b60-bf5c-462d-bcb0-0ead2b739c14/resume,Waterloo,Ontario,,Canada,,2021-09-10T17:42:44.169Z,2022-09-22T02:25:46.421Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/rodrigue-de-schaetzen/,"Computer vision, Deep learning, Robotics",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Applied Science in Electrical and Computer Engineering,"Health, Software, Transportation, Type of Work is More Important to me than Sector","Internship, Co-op","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Waterloo,True,True,True,True -d93ff363-5058-437e-b2ed-b12016302fa3,abhishekchandar23@gmail.com,Abhishek,Chandar,https://talenthub.vectorinstitute.ai/profiles/2482552/view_image/1624420419428.jpeg,Research Assistant at University of Ottawa,Experience with Applied Machine learning research and implementing pipelines for production development of AI models. In-depth knowledge of Software Engineering domain with my Masters thesis at the intersection of automated software verification and Machine learning.,6132524161,,,,https://www.linkedin.com/in/abhishekchandar/,,True,False,,Ottawa,Ontario,,Canada,linkedin,2021-08-25T16:02:01.629Z,2022-09-11T21:16:50.745Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/abhishekchandar/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master Computer Science Concentration in Applied Artificial Intelligence,"Education, Financial Services, Health, Retail, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship","Data Analyst, Data Architect, Data Engineer, Machine Learning Engineer, Software Engineer",University of Ottawa,True,True,True,True -04ce980b-5dd0-4462-b70e-f25ee1e0ad88,jrrbunao721@gmail.com,Joseph,Bunao,https://talenthub.vectorinstitute.ai/profiles/2955288/view_image/1516634284245.jpeg,Applied Machine Learning Researcher,"I am a scientist by training. I aim to craft solutions for complex problems based on cutting-edge research literature and rigorous experimentation. I also work with domain experts to better understand their problem and to demonstrate how our solution can help them. And finally, I collaborate with the team to productionalize, optimize, and maintain our solutions.",4389927295,,https://github.com/JosephRRB/,,https://www.linkedin.com/in/joseph-bunao-1306ab36/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/04ce980b-5dd0-4462-b70e-f25ee1e0ad88/resume,Montreal,Quebec,,Canada,linkedin,2022-08-15T23:27:26.309Z,2022-09-15T14:52:56.443Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,Already Graduated,II am an Applied ML Researcher but I am not directly affiliated with the Vector Institute,Mr.,https://www.linkedin.com/in/joseph-bunao-1306ab36/,"Generative modeling, Physics, Reinforcement learning",Postgraduate Degree (PhD),Entry Level (0-2 Years),"PhD Physics, MS Data Science",Type of Work is More Important to me than Sector,"Full Time, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True -1784612c-7ab0-4859-af99-a341867755b0,lzelko@uwo.ca,Lauren,Zelko,https://talenthub.vectorinstitute.ai/profiles/3010852/view_image/zelko.jpeg,,,,,,,https://www.linkedin.com/in/laurenzelko,,True,False,https://canadaai.jobboard.io/api/v1/profiles/1784612c-7ab0-4859-af99-a341867755b0/resume,,,,,,2022-09-20T15:13:54.626Z,2022-09-30T14:12:19.400Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,,Fall 2023 (August - November),,Ms.,www.linkedin.com/in/laurenzelko,"Data science, Healthcare and/or medical imaging, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Medical Biophysics,"Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Analyst, Data Scientist, Machine Learning Researcher/Scientist ",Western University,True,True,True,True +78f9cf2d-c3b8-46ae-85a1-bb4fe1d69375,mary.bm.wu@gmail.com,Mary,Wu,https://talenthub.vectorinstitute.ai/profiles/2253387/view_image/1517622788610.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-03-03T03:58:08.509Z,2021-03-03T03:58:08.718Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/mary-wu/,,,,,,,,,True,False,True,True +94db948e-08b4-4191-8045-641fd73d5330,blair.nicolle@yahoo.com,Blair,Nicolle,https://talenthub.vectorinstitute.ai/profiles/1810870/view_image/0.jpeg,Sr Data Analyst,Over twenty years experience in the investment management and insurance industries. Data Analyst and Data Integration (Data Engineer) with demonstrated ability to work with data at scale. Interested in the mathematics of machine learning and data science to achieve better business outcomes.,,,http://github.com/blair-mmai,,https://linkedin.com/in/blair-nicolle,,True,False,https://canadaai.jobboard.io/api/v1/profiles/94db948e-08b4-4191-8045-641fd73d5330/resume,Toronto,Ontario,,Canada,linkedin,2020-06-02T13:31:32.919Z,2020-08-14T18:19:17.460Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/blair-nicolle/,,Graduate Degree (Masters),Senior Level (5+ Years),Masters of Management in Artificial Intelligence,"Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Contract","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True +9f50aaa8-da8d-4acd-964f-c8c8b9d9e6b9,norberteke@protonmail.com,Norbert,Eke,https://talenthub.vectorinstitute.ai/profiles/1833784/view_image/0.jpeg,Data Scientist,"I am a graduated Data Scientist with problem-solving strengths and newly acquired skills in machine learning and data analysis. I am also an intellectually curious, always learning individual with a passion for new data mining and machine learning techniques. I am a motivated person with excellent leadership & communication skills. I always have a positive mindset and I am a believer in data-driven problem-solving. I am also a big fan of Bayesian statistics and data visualization using ggplot. I enjoy designing a complex statistical and algorithmic solution to problems using machine learning. +My Master's thesis research focused on Data Mining, Machine Learning, NLP and Deep Learning. I graduated from Carleton University's Data Science program in June 2020 with a Master of Computer Science Specialization in Data Science degree. I am actively looking for a full-time data scientist position. My key technical skills include, but not limited to Python, R, SQL, Java, report writing, traditional machine learning, deep learning, data mining, data analysis, data collection, cleaning, and wrangling, data visualization, statistical modelling, EDA, handling unstructured data, algorithm and experiment design, strong analytical and communication skills.",2508787547,,https://norberte.github.io/,,https://www.linkedin.com/in/norbert-eke-196842bb/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9f50aaa8-da8d-4acd-964f-c8c8b9d9e6b9/resume,Ottawa,Ontario,,Canada,linkedin,2020-06-17T16:21:46.226Z,2020-09-22T15:12:09.089Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/norbert-eke-196842bb/,,Graduate Degree (Masters),Entry Level (0-2 Years),Data Science,"Financial Services, Health, Retail, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship",,Carleton University,True,False,True,True +b6d7c641-4203-4fe1-acec-017dc402074d,ecrot027@uottawa.ca,Evan,Crothers,https://talenthub.vectorinstitute.ai/profiles/1847211/view_image/bw_evan_2.png,"Highly-accomplished engineer and published researcher with 6+ years software engineering experience, including comprehensive work on applied machine learning development.","Crothers is an applied AI research scientist currently employed full-time in the public service, designing ethical and effective systems to safeguard Canada. He is the recipient of the “Director’s Merit Award”, the highest honour awarded within Public Safety Canada. He has been recognized as a key contributor to the Security and Intelligence Threats to Election (SITE) Task Force as part of the G7 Rapid Response Mechanism (RRM), protecting G7 democracies from threats to elections. He is not only a veteran full-stack ML developer highly experienced with TensorFlow, model serving frameworks, and React frontends, but also well-versed in encouraging the development of new talent and guiding organizational change through adoption of AI technologies.",,,http://ecrows.ai,,,ecrws,True,False,https://canadaai.jobboard.io/api/v1/profiles/b6d7c641-4203-4fe1-acec-017dc402074d/resume,Ottawa,Ontario,,Canada,,2020-06-27T19:01:42.262Z,2020-07-20T21:29:25.042Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,Not Found,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Computer Science (Concentration in Applied AI),"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Contract",,University of Ottawa,True,True,True,True +9daa1e6b-1ddd-405d-9da6-c9e49ab9f65c,vivianngo14@gmail.com,Vivian,Ngo,https://talenthub.vectorinstitute.ai/profiles/1857602/view_image/0.jpeg,"MSc Candidate in Statistics, Data Science researcher",,4168169133,,https://github.com/vivianngo97/,,https://www.linkedin.com/in/vivian-ngo-stats/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9daa1e6b-1ddd-405d-9da6-c9e49ab9f65c/resume,Toronto,Ontario,,Canada,linkedin,2020-07-04T21:48:33.154Z,2020-07-04T21:48:33.334Z,False,False,Not Affiliated with Vector,No,Other/Unsure,Ontario,Already Graduated,I am a Master's student at the University of Toronto,Ms.,https://www.linkedin.com/in/vivian-ngo-stats/,,Graduate Degree (Masters),Entry Level (0-2 Years),Statistical Sciences,"Education, Health, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract",,University of Toronto,True,False,True,True +4eab8c5c-4702-4fed-b81d-01c2dc793929,sunny.huang@edu.uwaterloo.ca,Sunny,Huang,https://talenthub.vectorinstitute.ai/profiles/1871846/view_image/0.jpeg,Data Analytics,,6476280525,,,,https://www.linkedin.com/in/sunny97,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4eab8c5c-4702-4fed-b81d-01c2dc793929/resume,Toronto,Ontario,,Canada,linkedin,2020-07-14T16:13:41.311Z,2020-09-22T13:25:09.038Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Rotman School of Management,Already Graduated,,Miss.,https://www.linkedin.com/in/sunny97,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector",Full Time,,University of Toronto,True,False,True,True +f8f6d548-b4d3-4b33-8cd4-1e346da35ff0,shuyi.hui@mail.utoronto.ca,Shelley,Hui,https://talenthub.vectorinstitute.ai/profiles/1863424/view_image/0.jpeg,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f8f6d548-b4d3-4b33-8cd4-1e346da35ff0/resume,,,,,linkedin,2020-07-08T18:17:52.138Z,2020-07-08T19:10:42.966Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2021,,Miss.,https://www.linkedin.com/in/shelleyshuyi/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Masters of Management Analytics (MMA),"Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Product Development), Telecommunications","Full Time, Internship, Co-op, Contract, Capstone Project",,Queen's University,True,False,True,True +1fbdf066-a5e2-4033-990b-7f2c3521e72b,rama.sreepada@gmail.com,Rama Syamala,Sreepada,https://talenthub.vectorinstitute.ai/profiles/1819779/view_image/0.jpeg,Data scientist at Elpis IT Solutions (for AT&T client). PhD in Data science domain (recommender systems) from NIT Rourkela India.,"Data scientist with very good knowledge and practical experience in various techniques of machine learning, deep learning, data visualization, predictive analytics, natural language processing techniques for supervised, unsupervised and time series analysis.",+918309353497,,https://github.com/ramasreepada,,https://www.linkedin.com/in/rama-syamala-sreepada/,,True,False,,,,,India,linkedin,2020-06-10T04:44:57.906Z,2020-06-10T04:44:58.330Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,Looking for postdoc opportunities,Ms.,https://www.linkedin.com/in/rama-syamala-sreepada/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Computer science and Engineering,"Financial Services, Health, Retail, Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,,Other,True,True,True,True +e5250ab2-1d15-46bf-b398-d476a0807d54,irka@pawlowskico.com,Irka,Pawłowski,https://talenthub.vectorinstitute.ai/profiles/1860995/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-07-07T08:44:28.586Z,2020-07-07T08:44:29.037Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/irkapawlowski/,,,,,,,,,True,True,True,True +ce4662bb-c0f1-4497-b307-857f54782013,sambondisb@gmail.com,Sam,Bondi,https://talenthub.vectorinstitute.ai/profiles/1582836/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-04T20:05:54.367Z,2020-01-04T20:05:54.554Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/sambondi/,,,,,,,,,True,False,True,True +2c918dcf-9276-4189-be93-60d0f6d2f31d,ahiggy03@gmail.com,Angy,Higgy,https://talenthub.vectorinstitute.ai/profiles/1571920/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-21T22:47:52.309Z,2019-12-21T22:47:52.692Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/angyhiggy/,,,,,,,,,True,False,True,True +3aa3ce7c-333d-4d72-87ec-341f4db776ca,anthonyluo100@gmail.com,Anthony,Luo,https://talenthub.vectorinstitute.ai/profiles/1582877/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-04T20:52:16.937Z,2020-01-04T20:52:17.152Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/antholuo/,,,,,,,,,True,False,True,True +47e7e51b-cc20-4e50-84b5-8822e6f8e29f,mdmozahidur.rahman@ryerson.ca,Mozahidur,Rahman,https://talenthub.vectorinstitute.ai/profiles/2994409/view_image/profile_pic.jpg,,"Completed post graduation from Toronto Metropolitan University on ""Data Science and Analytics"" with three major successful end-to-end academic projects. I'm actively looking for a full-time career in the fields of data science, data analytics, and machine learning so to be able to use my intense academic training to benefit the company.",+16476790481,,https://github.com/mdmozahidur,,https://www.linkedin.com/in/md-mozahidur-rahman-331a00182/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/47e7e51b-cc20-4e50-84b5-8822e6f8e29f/resume,,,,,,2022-09-09T12:59:57.286Z,2023-05-18T03:33:22.499Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/md-mozahidur-rahman-331a00182/,,Graduate Degree (Masters),Entry Level (0-2 Years),Masters in Data science and analytics,"Construction or Infrastructure, Education, Financial Services, Manufacturing , Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Full Time, Internship, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Ryerson University,True,True,True,True +0f4655e8-b53a-4d0e-8498-e5e7d4bbe556,victor.francis96@gmail.com,Victor,Francis Halder,https://talenthub.vectorinstitute.ai/profiles/3579923/view_image/1612804116436.jpeg,,,,,,,https://www.linkedin.com/in/victorfrancishalder/,,True,False,,,,,,linkedin,2023-07-06T03:09:30.140Z,2023-07-06T03:09:30.633Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/victorfrancishalder/,,,,,,,,,True,True,True,True +9c6b6573-9085-4af6-a384-ec5a2326c800,jvasquezpasco@gmail.com,Alonso,Vasquez,https://talenthub.vectorinstitute.ai/profiles/3579823/view_image/1640139272952.jpeg,,,,,,,https://www.linkedin.com/in/alonsovasquezpasco/,,True,False,,,,,,linkedin,2023-07-06T01:06:41.162Z,2023-07-06T01:06:41.709Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/alonsovasquezpasco/,,,,,,,,,True,True,True,True +688359ee-cfc7-46f1-99b8-ebe9343379b4,bryan.ekeh@utoronto.ca,Bryan,Ekeh,https://talenthub.vectorinstitute.ai/profiles/2994438/view_image/Head_Shot_.png,Business Intelligence Developer,"I am an aspiring machine learning engineer, enthusiastic about neural architectures used for natural language processing and global innovation policy environments. Currently, I am back in school as a part-time student completing a master's thesis in Human Centered Data Science, specifically, extracting metadata from policy documents using transformers at the University of Toronto's I-School. I work in the Research Analytics department at the University of Toronto as the technical lead of the Discover Research product launching this fall.",6478852043,,,,https://www.linkedin.com/in/bryan-ekeh-675b56145,,False,False,https://canadaai.jobboard.io/api/v1/profiles/688359ee-cfc7-46f1-99b8-ebe9343379b4/resume,Toronto,Ontario,,Canada,,2022-09-09T13:00:00.442Z,2023-05-25T17:47:33.833Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Tegan Maharaj,Spring/Summer 2023 (April - July),,Mr.,www.linkedin.com/in/bryan-ekeh-675b56145,,Graduate Degree (Masters),Entry Level (0-2 Years),Human Centered Data Science,,Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,False,True,True +d10d38f4-a0e1-44b2-9833-8704ac1741ab,ericedemdzeha@gmail.com,Eric,Dzeha,https://talenthub.vectorinstitute.ai/profiles/2355360/view_image/1608296105957.jpeg,Student ,"I am a person of many interests, but my greatest fulfilments lie in solving complex problems and making a real-life impact on society. I am poised to deepening my understanding of how computer systems work and looking forward to building a thriving career providing necessary and relevant solutions in the specialized areas of applied artificial intelligence and cybersecurity.",+13432022067,,,,,ericedem_,False,False,https://canadaai.jobboard.io/api/v1/profiles/d10d38f4-a0e1-44b2-9833-8704ac1741ab/resume,,,,,linkedin,2021-05-12T19:34:04.653Z,2023-06-05T19:23:34.555Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/eric-dzeha-76069912b/,"Data science, Machine learning, Natural language processing, Online learning, Transfer learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Computer Science in Applied AI,"Education, Financial Services, Health, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Ottawa,True,True,True,True +0489e3c4-7a85-492d-bad2-706da3e28c3e,sbaseliz@uwaterloo.ca,Soroosh,Baselizadeh,https://talenthub.vectorinstitute.ai/profiles/3476097/view_image/1667341711471.jpeg,,,5197295429,,https://soroosh-bsl.github.io/,,https://www.linkedin.com/in/soroosh-baselizadeh/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/0489e3c4-7a85-492d-bad2-706da3e28c3e/resume,Waterloo,Ontario,,Canada,,2023-05-24T16:47:00.026Z,2023-06-07T14:02:58.460Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/emunozto/,"Computer vision, Deep learning, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),MMath in Computer Science,"Health, Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Waterloo,True,False,True,True +6c451b4b-953f-426b-b37e-414e148a9e61,d.raby@hotmail.com,David,Raby-Pepin,https://talenthub.vectorinstitute.ai/profiles/3087972/view_image/1598572321609.jpeg,Data Scientist,,514-653-2640,,,,https://www.linkedin.com/in/david-raby-pepin-a9146570/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6c451b4b-953f-426b-b37e-414e148a9e61/resume,Montreal,Quebec,,Canada,linkedin,2022-10-21T20:01:48.031Z,2023-06-05T21:58:32.728Z,False,False,Connected to Another AI Institute,Yes,Other/Unsure,Mila,Already Graduated,M.Sc. in Machine Learning graduate from Mila,Mr.,https://www.linkedin.com/in/david-raby-pepin-a9146570/?originalSubdomain=ca,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),M.Sc. in Machine Learning at Mila / University of Montreal,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,False,True,True d4a11054-508b-41b8-96a5-3d280aaa7341,noor7665@gmail.com,Huma,Noor,https://talenthub.vectorinstitute.ai/profiles/3545539/view_image/1680024654493.jpeg,Business and Data Analyst interested in roles working with AI and ML!,"As a highly motivated and experienced business analyst and data systems analyst with experience in market research, I am seeking a challenging role in a tech-oriented organization that values analytical skills, business acumen, and process improvement. My experience includes analyzing business operations, implementing process improvements with cross-functional teams, and database management. I have also become a grant expert, helping inform marketing initiatives, while building and nurturing relationships with clients through live chat, email, and virtual office hours. I am currently seeking a role that would allow me to continue developing my skills in a dynamic and challenging environment!",,,,,https://www.linkedin.com/in/huma-n-357919139/,,True,False,,Toronto,Ontario,,Canada,linkedin,2023-06-22T16:47:07.010Z,2023-06-22T16:47:08.071Z,True,True,Other Vector Programming,Yes,Other Vector Programming,,Spring/Summer 2023 (April - July),Participated in the AIForGood Lab's Fellowship and was recommended to create a profile on here by Johannah Thumb,Ms.,https://www.linkedin.com/in/huma-n-357919139/,"Data science, Healthcare and/or medical imaging, Law, ethics and policy",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Biophysics,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Toronto,True,True,True,True -cd2d4ed5-7e8b-4327-a6f7-935b158760b6,salil.jakhadie@gmail.com,Salil,Jakhadie 🤖,https://talenthub.vectorinstitute.ai/profiles/3550443/view_image/1559849338530.jpeg,,,,,,,https://www.linkedin.com/in/salilj/,,True,False,,,,,,linkedin,2023-06-24T17:36:13.599Z,2023-06-24T17:36:13.997Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/salilj/,,,,,,,,,True,True,True,True 57ee367e-ce96-492a-a768-0cae459f1a09,arfaamrashid@gmail.com,Arfaa,Rashid,https://talenthub.vectorinstitute.ai/profiles/3546218/view_image/1687398726532.jpeg,Computer Science Student,2nd-year Computer Science student at University of Windsor,(226) 246-8039,,https://github.com/arfaamr,,https://www.linkedin.com/in/arfaa-rashid-464a59252/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/57ee367e-ce96-492a-a768-0cae459f1a09/resume,Windsor,Ontario,,Canada,linkedin,2023-06-23T00:03:08.901Z,2023-06-23T00:03:09.561Z,True,False,Other Vector Programming,Yes,Other Vector Programming,Johannah Thumb,Other/Undetermined,AI4Good Lab Fellow,Ms.,https://www.linkedin.com/in/arfaa-rashid-464a59252/,"Bioinformatics, Game theory, Robotics",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Bachelor of Computer Science (Honours),"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Internship, Co-op","Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Windsor,True,True,True,True -47e7e51b-cc20-4e50-84b5-8822e6f8e29f,mdmozahidur.rahman@ryerson.ca,Mozahidur,Rahman,https://talenthub.vectorinstitute.ai/profiles/2994409/view_image/profile_pic.jpg,,"Completed post graduation from Toronto Metropolitan University on ""Data Science and Analytics"" with three major successful end-to-end academic projects. I'm actively looking for a full-time career in the fields of data science, data analytics, and machine learning so to be able to use my intense academic training to benefit the company.",+16476790481,,https://github.com/mdmozahidur,,https://www.linkedin.com/in/md-mozahidur-rahman-331a00182/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/47e7e51b-cc20-4e50-84b5-8822e6f8e29f/resume,,,,,,2022-09-09T12:59:57.286Z,2023-05-18T03:33:22.499Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/md-mozahidur-rahman-331a00182/,,Graduate Degree (Masters),Entry Level (0-2 Years),Masters in Data science and analytics,"Construction or Infrastructure, Education, Financial Services, Manufacturing , Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Full Time, Internship, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Ryerson University,True,True,True,True -593a0170-5594-4f30-a38c-6aad5149e5f0,tnaheyan@yorku.ca,Tasneem,Naheyan,https://talenthub.vectorinstitute.ai/profiles/1974054/view_image/20210101_151141_-_Copy__2_.jpg,Master's Student at York University | Electrical Engineering | Computer Vision,,4373444796,,,,https://www.linkedin.com/in/tasneem-naheyan,,False,False,https://canadaai.jobboard.io/api/v1/profiles/593a0170-5594-4f30-a38c-6aad5149e5f0/resume,Toronto,Ontario,,Canada,,2020-09-11T13:47:09.819Z,2023-01-25T17:40:31.397Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Dr. James Elder,Fall 2022 (August - November),Student of a Vector Faculty Affiliate,Miss.,https://www.linkedin.com/in/tasneem-naheyan,"Computer vision, Data science, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Applied Science in Electrical and Computer Engineering,"Health, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",York University,True,True,True,True -be0ab558-cbc8-4c50-b0f0-cbd5993ac3cf,xqzhou321@gmail.com,Xuqi,Zhou,https://talenthub.vectorinstitute.ai/profiles/2994402/view_image/Screenshot_20220905-091711_Gallery.jpg,,,2048902629,,,,,,True,False,,Kitchener,Ontario,,Canada,,2022-09-09T12:59:56.571Z,2023-06-06T02:28:13.153Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Mr.,www.linkedin.com/in/zhou-xuqi,"Computer vision, Data science, Machine learning, Optimization",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Data Science & Artificial Intelligence,"Health, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Data Scientist, Machine Learning Engineer",University of Waterloo,True,True,True,True -0e4a6143-3df6-46a4-ab0e-f3a6038a6ac1,arasheed@lakeheadu.ca,Asif,Rasheed,https://talenthub.vectorinstitute.ai/profiles/3031984/view_image/49068949.jpeg,,,8073583277,,,,https://linkedin.com/in/asifrash,,False,False,https://canadaai.jobboard.io/api/v1/profiles/0e4a6143-3df6-46a4-ab0e-f3a6038a6ac1/resume,Thunder Bay,Ontario,,Canada,,2022-10-05T01:02:39.436Z,2023-06-05T19:33:18.505Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/asifrash/,"Reinforcement learning, Unsupervised learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science (Thesis) with specialization in Artificial Intelligence,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation",Internship,"Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Lakehead University,True,True,True,True -4fb62fc1-97f1-4838-b30d-710ad5a3e175,leye0521@hotmail.com,Yewon,Lee,https://talenthub.vectorinstitute.ai/profiles/2868211/view_image/1650864346060.jpeg,Machine Learning and Robotics Researcher | MSc Student in Computer Science ,,7789262247,,https://yewon-lee.github.io,,https://www.linkedin.com/in/leeyewon/,,False,False,,,,,,linkedin,2022-06-21T20:01:09.531Z,2022-06-23T21:04:18.341Z,True,True,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Florian Shkurti,Winter 2024 (December 2023 - March 2024),,Ms.,https://www.linkedin.com/in/leeyewon/,"Bayesian methods, Computer vision, Deep learning, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,"Manufacturing , Software, Technology (Product Development)","Full Time, Internship","Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True -a62c96bd-1a33-44bf-9bc5-2bac44d04d19,justinlo0924@gmail.com,Justin,Lo,https://talenthub.vectorinstitute.ai/profiles/3454315/view_image/1666226547998.jpeg,Software Developer,"I'm currently a software developer at Ontario Teachers' Pension Plan, specializing in data modeling and integration for ETL processes involving financial data. I design database structures, create logical and physical data models, and ensure data integrity and efficiency. With a Master's and Bachelor's degree in Biomedical Engineering from Toronto Metropolitan University, I have a strong foundation in machine learning, data analytics, and statistics. My goal is to leverage technology to solve complex problems and drive innovation in data science and software development.",4166270125,,,,https://www.linkedin.com/in/justinlo0924/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/a62c96bd-1a33-44bf-9bc5-2bac44d04d19/resume,Toronto,Ontario,,Canada,linkedin,2023-05-14T15:49:20.256Z,2023-05-14T15:49:20.599Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/justinlo0924/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Biomedical Engineering,"Education, Financial Services, Health, Retail, Software, Technology (Product Development)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Product/Project Manager, Other ",Ryerson University,True,True,True,True -e012cda2-47de-4192-940c-f70abe19daa4,nicholas.dass@gmail.com,Nicholas,Dass,https://talenthub.vectorinstitute.ai/profiles/2885328/view_image/1558034252405.jpeg,Associate Software Developer,"I am a creative and multi-faceted professional with progressive career and academic experience in software development, machine learning, data science, product lifecycle management, and technical support. - -Throughout my career, I've developed software prototypes, app designs, and automation scripts in a controlled setting, applying core software development lifecycle concepts while leveraging technical product development skills. Effectively working collaboratively across functions, verticals, and with 3rd party, stakeholders to deliver an exceptional customer experience and proactively solve complex problems and mitigate risk. - -I am also able to effectively bridge the gap between business and technical communications for varying audiences by translating business needs into technical requirements and analyzing, interpreting, and presenting data clearly and concisely to drive business decisions. - -Overall, I expertly design project scope and translate high-level directives into technical requirements to ensure projects align with user needs and objectives, from initial design to system testing and deployment.",nicholas.dass@gmail.com,,,,https://www.linkedin.com/in/nicholasdass/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/e012cda2-47de-4192-940c-f70abe19daa4/resume,Toronto,Ontario,,Canada,linkedin,2022-07-02T22:55:13.607Z,2023-04-23T13:28:19.796Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2024 (August - November),,Mr.,https://www.linkedin.com/in/nicholasdass/,"Deep learning, Natural language processing, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Mid-Level (3-5 Years),Artificial Intelligence,"Financial Services, Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Product/Project Manager, Other ",Queen's University,True,False,True,True -d5b8234b-ccd4-48be-9afd-44b453fa24af,pritam.sarkar@queensu.ca,Pritam,Sarkar,https://talenthub.vectorinstitute.ai/profiles/2338208/view_image/pp_square.jpg,PhD student looking for internship in self-supervised learning,"I am a PhD candidate at Queen’s University and Vector Institute. My primary research interests include self- -/un-supervised learning, computer vision, video understanding, multimodal learning (i.e., vision-language, audio-visual), among a few others. Additionally, I am very interested in continual learning, out-of-distribution generalization, long video understanding, and large-scale pretraining of foundational models in vision and vision-language domains, among a few others. I have a strong research background and published at several top-tier venues including 2 papers under review in NeurIPS and ICCV, and 3 papers accepted at AAAI among several others. I am looking for an internship opportunity in related areas mentioned above. - - -",6137701294,,https://www.pritamsarkar.com/,,https://www.linkedin.com/in/sarkarpritam/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/d5b8234b-ccd4-48be-9afd-44b453fa24af/resume,Kingston,Ontario,,Canada,,2021-04-29T12:25:00.749Z,2023-05-25T20:32:26.240Z,True,True,Connected to Vector Research,Yes,Post Graduate Affiliate,Graham Taylor is my current supervisor at Vector.,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/sarkarpritam/,"Computer vision, Deep learning, Few-shot learning, Generative modeling, Machine learning, Meta-learning, Online learning, Representation learning, Self-supervised learning, Time-series forecasting and modelling, Transfer learning, Unsupervised learning, Wearable technology and/or Internet of Things",Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Engineering,Type of Work is More Important to me than Sector,Internship,Machine Learning Researcher/Scientist ,Queen's University,True,True,True,True +cd2d4ed5-7e8b-4327-a6f7-935b158760b6,salil.jakhadie@gmail.com,Salil,Jakhadie 🤖,https://talenthub.vectorinstitute.ai/profiles/3550443/view_image/1559849338530.jpeg,,,,,,,https://www.linkedin.com/in/salilj/,,True,False,,,,,,linkedin,2023-06-24T17:36:13.599Z,2023-06-24T17:36:13.997Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/salilj/,,,,,,,,,True,True,True,True ab0a7569-7c68-4336-91cf-867813834cf4,omar.imran@carleton.ca,Omar,Imran,https://talenthub.vectorinstitute.ai/profiles/3132548/view_image/1599441005759.jpeg,,,6132914624,,,,,,False,False,https://canadaai.jobboard.io/api/v1/profiles/ab0a7569-7c68-4336-91cf-867813834cf4/resume,Ottawa,Ontario,,Canada,linkedin,2022-11-12T06:36:43.110Z,2023-06-21T01:32:27.468Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/omarimran2000/,"Deep learning, Few-shot learning, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Electrical and Computer Engineering,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project","Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Carleton University,True,False,True,True 947b4cbe-d0a5-41e4-a0e8-6b04eeef4bfc,david.guzman@mail.utoronto.ca,Enrique David,Guzmán Ramírez,https://talenthub.vectorinstitute.ai/profiles/2980751/view_image/profile.png,MScAC student,I am a student at the MScAC program at University of Toronto. My main interests are NLP and Machine Learning.,437-973-8963,,https://davidguzmanr.github.io/,,https://www.linkedin.com/in/enrique-david-guzman-ramirez,,False,False,https://canadaai.jobboard.io/api/v1/profiles/947b4cbe-d0a5-41e4-a0e8-6b04eeef4bfc/resume,Toronto,Ontario,,Canada,,2022-08-31T17:18:17.286Z,2023-05-25T17:56:49.163Z,True,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Spring/Summer 2024 (April - July),,Mr.,https://www.linkedin.com/in/enrique-david-guzman-ramirez/,"Adversarial learning, Deep learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Science in Applied Computing,"Software, Technology (Information and Media), Technology (Product Development)",Internship,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True 8991bd24-c9f2-4449-8fee-ca1e0fbf2ac8,lakhankadam1@gmail.com,Lakhan,Kadam,https://talenthub.vectorinstitute.ai/profiles/2589075/view_image/1580753514096.jpeg,Software Engineer,,9057821860,,https://lakhankadam.github.io/,,https://www.linkedin.com/in/lkadam/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/8991bd24-c9f2-4449-8fee-ca1e0fbf2ac8/resume,,,,,linkedin,2021-11-19T11:53:33.019Z,2023-02-23T20:38:35.089Z,True,True,Connected to Vector Research,Yes,Vector Scholarship Nominee,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/lkadam/,"Computer vision, Data science, Deep learning, Generative modeling, Machine learning, Natural language processing, Optimization, Quantum computing, Reinforcement learning, Representation learning, Self-supervised learning, Statistical learning theory, Time-series forecasting and modelling, Transfer learning, Unsupervised learning",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),MEng Electrical and Computer Engineering,,"Full Time, Internship, Co-op, Contract, Capstone Project","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Waterloo,True,True,True,True 705cf93e-db6f-462b-98b1-096a61d61bcd,kchatr1729@gmail.com,Kaushik,Chatterjee,https://talenthub.vectorinstitute.ai/profiles/3423168/view_image/1660040826529.jpeg,,,,,,,https://www.linkedin.com/in/kchatr/,,True,False,,,,,,linkedin,2023-04-28T11:40:08.748Z,2023-04-28T11:40:09.261Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/kchatr/,,,,,,,,,True,False,True,True -89e4e973-b38d-496a-a230-24e9389e5b65,haleemasheraz@gmail.com,Haleema,Sheraz,https://talenthub.vectorinstitute.ai/profiles/2612390/view_image/IMG_4917_Original.jpg,Machine Learning Engineer, I currently work as a Machine Learning Engineer at BMO Financial Group and am currently enrolled in a master's program in Computer Science.,6475753164,,,,https://www.linkedin.com/in/haleema-s-17904197/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/89e4e973-b38d-496a-a230-24e9389e5b65/resume,,,,,,2021-12-10T23:38:37.846Z,2023-05-23T15:58:45.331Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2024 (April - July),,Miss.,N/A,"AI safety, Data science, Deep learning, Machine learning, Time-series forecasting and modelling, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,Type of Work is More Important to me than Sector,"Full Time, Internship, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Guelph,True,True,True,True -f4227b8a-6cd4-4e40-9639-1f5b39fe942a,danielsouzasevero@gmail.com,Daniel,Severo,https://talenthub.vectorinstitute.ai/profiles/1793195/view_image/5f4137714834378cbeb267932bb101c3.jpeg,Compression and Machine Learning,"I'm a Ph.D. student at the University of Toronto and Vector Institute for Artificial Intelligence. -My research interests are lossless data compression, information theory, and AI. Data sources usually have some type of structure, such as graphs and sets. This means we can compress them better by taking this structure into account during compression. Unfortunately, existing methods that do this are either sub-optimal (don’t achieve the Shannon bound) or computationally intractable. I’m interested in building computationally efficient compression algorithms that can be used with deep generative models on structured data, as well as their connections to bayesian methods. - -Originally, I am from Florianópolis (Brazil) but I’ve lived in New Jersey, Orlando, Toronto (now), São Paulo, as well as other smaller cities in the south of Brazil.",+1 647 679 9376,,https://dsevero.com,,https://www.linkedin.com/in/danielsevero,_dsevero,False,False,https://canadaai.jobboard.io/api/v1/profiles/f4227b8a-6cd4-4e40-9639-1f5b39fe942a/resume,Toronto,Ontario,,Canada,linkedin,2020-05-16T22:31:04.676Z,2023-05-25T17:46:37.069Z,True,True,Vector Scholarship Recipient,Yes,Student or Postdoc of a Vector Faculty Member,Alireza Makhzani,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/danielsevero,"Generative modeling, Graphical models, Machine learning",Postgraduate Degree (PhD),Senior Level (5+ Years),Ph.D. Electrical & Computer Engineering,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Contract",Machine Learning Researcher/Scientist ,University of Toronto,True,True,True,True -a712c697-9b4f-448a-b692-6f4b5147e2fa,m.nejadsattary@queensu.ca,Masoud,Nejad-Sattary,https://talenthub.vectorinstitute.ai/profiles/2994420/view_image/photo_2022-04-06_11-52-52.jpg,Experienced Technology Executive,"Highly experienced technology executive with extensive experiance in the Information and Communications industry. Proven track record of leading teams in the implementation and upgrade of mobile network core elements, transmission and IP network equipment, carrier-grade web caching/content delivery network solutions, large enterprise private and campus data networks, data center design and implementation, and the maintenance and optimization of GSM networks. Skilled in project management with experience delivering projects from the sales and pre-sales stages to implementation, customization, and delivery. Co-founder and mentor for start-up projects in AI and related telecommunication industries. Strong skills in team leadership, global operations, product development, artificial intelligence, telecommunications, and IT network administration.",6478469708,,,,https://www.linkedin.com/in/masood-sattary/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/a712c697-9b4f-448a-b692-6f4b5147e2fa/resume,Toronto,Ontario,,Canada,,2022-09-09T12:59:58.438Z,2023-01-03T10:47:34.705Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/masood-sattary,,Graduate Degree (Masters),Senior Level (5+ Years),Artificial Intelligence / Master of Financial Innovations and Technologies,,"Full Time, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Product/Project Manager",Queen's University,True,True,True,True -1380565c-4721-45ca-aeb6-081181e37857,hmu026@uottawa.ca,HONGFAN,MU,https://talenthub.vectorinstitute.ai/profiles/1598653/view_image/WechatIMG94.jpeg,Experienced Data and Requirements analyst,Computer Science (AAI) Major | Graduating 2022 fall | Searching for Internship in AAI| Data Analyst/Data Scientist | NLP/ Time series data analysis(prediction)| Graph neural network |,8732881216,,,,,,False,False,https://canadaai.jobboard.io/api/v1/profiles/1380565c-4721-45ca-aeb6-081181e37857/resume,Ottawa,Ontario,,Canada,,2020-01-13T15:12:48.051Z,2023-05-19T16:49:37.778Z,True,True,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Miss.,https://www.linkedin.com/in/hongfan-mu/,"Graphical models, Natural language processing, Time-series forecasting and modelling",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science (AAI),"Financial Services, Health, Professional Services (e.g Consulting), Retail, Technology (Information and Media), Transportation",Internship,"Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Ottawa,True,True,True,True -23fe212c-0e99-4a6e-92e3-d80740962212,royadehghani94@gmail.com,Roya,Dehghani,https://talenthub.vectorinstitute.ai/profiles/2504474/view_image/Roya_Photo_1_.jpg,Graduate resercher,"I am a research and teaching assistant at the University of Ontario Tech and a Vector Scholarship recipient in Artificial Intelligence. My research area is in deep learning and computer vision. -",2896858646,,,,https://linkedin.com/in/rdehghani73,,False,False,https://canadaai.jobboard.io/api/v1/profiles/23fe212c-0e99-4a6e-92e3-d80740962212/resume,Toronto,Ontario,,Canada,,2021-09-10T17:42:51.495Z,2023-05-26T16:43:18.726Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Spring/Summer 2023 (April - July),,Miss.,https://www.linkedin.com/in/roya-dehghani-491055151/,"Computer vision, Data science, Robotics, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Financial Services, Retail, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Software Engineer",OntarioTech University,True,True,True,True -02b6e671-0dc5-4731-bc2c-937436dc767a,mehradgsm78@gmail.com,Mehrad,Ghassemi,https://talenthub.vectorinstitute.ai/profiles/2949452/view_image/IMG_7324.jpg,MMAI student at Schulich Business School- Data analyst,,5195003573,,,,https://www.linkedin.com/in/mehrad-ghassemi/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/02b6e671-0dc5-4731-bc2c-937436dc767a/resume,Toronto,Ontario,,Canada,,2022-08-11T17:59:16.612Z,2023-05-25T17:52:00.560Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/mehrad-ghassemi,"Data science, Deep learning, Few-shot learning, Machine learning, Natural language processing, Optimization, Reinforcement learning",Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Management in AI,"Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Technology (Information and Media), Technology (Product Development), Transportation","Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist",York University,True,False,True,True -a64304ad-f794-44c7-9739-aaefa038590e,stanleytonight@hotmail.com,Stanley,Pi,https://talenthub.vectorinstitute.ai/profiles/3483869/view_image/1517395042096.jpeg,,,,,,,https://www.linkedin.com/in/stanley-pi-eleven,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a64304ad-f794-44c7-9739-aaefa038590e/resume,,,,,linkedin,2023-05-28T20:12:49.582Z,2023-05-28T20:12:49.908Z,True,True,Not Affiliated with Vector,No,Unsure,,Winter 2023 (December 2022 - March 2023),,Mr.,N/A,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Applied Business Analytics,"Financial Services, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Product/Project Manager, Other ",Carleton University,True,True,True,True -bdf9c254-1202-4a82-9e45-8586789db0c6,jiangshan.yu@mail.mcgill.ca,Eric,Yu,https://talenthub.vectorinstitute.ai/profiles/3528782/view_image/1684958001267.jpeg,Experienced Data Science Student,"A detail-oriented data science student with a strong analytical and coding background, eager to learn and explore",4387228427,,https://github.com/jiangshan-yu,,https://www.linkedin.com/in/jiangshan-yu/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/bdf9c254-1202-4a82-9e45-8586789db0c6/resume,Toronto,Ontario,,Canada,linkedin,2023-06-16T12:29:27.790Z,2023-06-16T12:29:28.182Z,True,True,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/jiangshan-yu/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Science in Applied Computing,"Financial Services, Software, Technology (Product Development), Telecommunications","Full Time, Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True -0914c6e5-41da-41b0-852b-170e9111086c,hagerghouma@gmail.com,Hager,Ghouma,https://talenthub.vectorinstitute.ai/profiles/3396765/view_image/1675176889638.jpeg,,,,,https://github.com/HGhouma?tab=repositories,,https://www.linkedin.com/in/hager-ghouma-418b47163/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/0914c6e5-41da-41b0-852b-170e9111086c/resume,Mississauga,Ontario,,Canada,linkedin,2023-04-14T13:54:49.279Z,2023-05-18T13:22:25.129Z,True,False,Other Vector Programming,Yes,Student or Postdoc of a Vector Faculty Member,,Already Graduated,,Mrs.,https://www.linkedin.com/in/hager-ghouma-418b47163/,,Graduate Degree (Masters),Entry Level (0-2 Years),Computer Engineering,"Education, Health, Software, Technology (Product Development), Telecommunications, Transportation","Full Time, Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Software Engineer",Ryerson University,True,True,True,True -e8496f38-45de-4d40-9b7f-ad780c651df8,ataei8@gmail.com,Mehdi,Ataei,https://talenthub.vectorinstitute.ai/profiles/1899557/view_image/0.jpeg,,,,,http://mehdiataei.com,,https://www.linkedin.com/in/ataei8/,m_ataei8,True,False,https://canadaai.jobboard.io/api/v1/profiles/e8496f38-45de-4d40-9b7f-ad780c651df8/resume,,,,,linkedin,2020-08-01T03:15:45.769Z,2022-10-17T19:22:11.425Z,False,False,Connected to Vector Research,Yes,Post Graduate Affiliate,,Already Graduated,,Mr.,https://www.linkedin.com/in/ataei8/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Mechanical and Industrial Engineering (Computational Mechanics),"Education, Financial Services, Manufacturing , Software, Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract",,University of Toronto,True,True,True,True -ef5db7aa-53c5-4545-9e74-2c772387d64d,ellamorgan112@gmail.com,Ella,Morgan,https://talenthub.vectorinstitute.ai/profiles/2960364/view_image/1628981095626.jpeg,Master's Student in AI,,,,http://ellamorgan.ca,,https://www.linkedin.com/in/ella-morgan-9b7630164/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/ef5db7aa-53c5-4545-9e74-2c772387d64d/resume,Kingston,Ontario,,Canada,linkedin,2022-08-18T20:22:27.109Z,2022-08-25T16:57:58.688Z,False,False,Recognized Masters Program,Yes,Vector Scholarship Recipient,,Already Graduated,,Ms.,https://www.linkedin.com/in/ella-morgan-9b7630164/,"Computer vision, Deep learning, Interpretability, Machine learning, Optimization, Representation learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),"Master's in Computing, Specialization in Artificial Intelligence","Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Queen's University,True,False,True,True -6c451b4b-953f-426b-b37e-414e148a9e61,d.raby@hotmail.com,David,Raby-Pepin,https://talenthub.vectorinstitute.ai/profiles/3087972/view_image/1598572321609.jpeg,Data Scientist,,514-653-2640,,,,https://www.linkedin.com/in/david-raby-pepin-a9146570/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6c451b4b-953f-426b-b37e-414e148a9e61/resume,Montreal,Quebec,,Canada,linkedin,2022-10-21T20:01:48.031Z,2023-06-05T21:58:32.728Z,False,False,Connected to Another AI Institute,Yes,Other/Unsure,Mila,Already Graduated,M.Sc. in Machine Learning graduate from Mila,Mr.,https://www.linkedin.com/in/david-raby-pepin-a9146570/?originalSubdomain=ca,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),M.Sc. in Machine Learning at Mila / University of Montreal,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,False,True,True +bdf9c254-1202-4a82-9e45-8586789db0c6,jiangshan.yu@mail.mcgill.ca,Eric,Yu,https://talenthub.vectorinstitute.ai/profiles/3528782/view_image/WechatIMG1085.jpg,Experienced Data Science Student,"A detail-oriented data science student with a strong analytical and coding background, eager to learn and explore",4387228427,,https://github.com/jiangshan-yu,,https://www.linkedin.com/in/jiangshan-yu/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/bdf9c254-1202-4a82-9e45-8586789db0c6/resume,Toronto,Ontario,,Canada,linkedin,2023-06-16T12:29:27.790Z,2023-07-10T06:15:37.469Z,True,True,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/jiangshan-yu/,"Data science, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Science in Applied Computing - Data Science Concentration,"Financial Services, Software, Technology (Product Development), Telecommunications","Full Time, Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True 8f73f2f0-2a7c-4872-bf24-e36736cde382,fatemehdehghanii1997@gmail.com,Taraneh,Dehghani,https://talenthub.vectorinstitute.ai/profiles/3516268/view_image/1652038779970.jpeg,Researcher,,2899969739,,,,https://www.linkedin.com/in/taraneh-dehghani-332b191a0/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8f73f2f0-2a7c-4872-bf24-e36736cde382/resume,Oshawa,Ontario,,Canada,linkedin,2023-06-11T23:52:40.456Z,2023-06-11T23:52:40.825Z,True,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Spring/Summer 2024 (April - July),,Ms.,https://www.linkedin.com/in/taraneh-dehghani-332b191a0/,"Deep learning, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,Type of Work is More Important to me than Sector,"Internship, Co-op, Contract",Machine Learning Researcher/Scientist ,OntarioTech University,True,True,True,True -30e65e88-9203-4cd0-882b-ba849eae2f50,kassem6@uwindsor.ca,Aly,Kassem,https://talenthub.vectorinstitute.ai/profiles/2874092/view_image/1600917205478.jpeg,Research Assistant,"Aly Kassem is a Junior Machine Learning Scientist who graduated from the Department of Computer Science, Helwan University with a CGPA: 3.61. His research spans all stages of Machine/Deep Learning such as Feature Extraction, Segmentation, and Classification with specific emphasis on Language Models, and Arabic Handwritten OCRs. Recently, I have started working as a research assistant at WASP labs at the University of Windsor, where I am exploring the security, privacy, and reliability of large language models - -",+12262804259,,,,https://www.linkedin.com/in/aly-kassem/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/30e65e88-9203-4cd0-882b-ba849eae2f50/resume,Windsor,Ontario,,Canada,,2022-06-25T16:37:57.603Z,2023-01-01T22:34:37.897Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Spring/Summer 2024 (April - July),,Mr.,https://www.linkedin.com/in/aly-kassem/,,Graduate Degree (Masters),Entry Level (0-2 Years),MSc. Of Computer Science. AI Stream,"Education, Health, Software","Internship, Co-op, Contract","Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Windsor,True,False,True,True -688359ee-cfc7-46f1-99b8-ebe9343379b4,bryan.ekeh@utoronto.ca,Bryan,Ekeh,https://talenthub.vectorinstitute.ai/profiles/2994438/view_image/Head_Shot_.png,Business Intelligence Developer,"I am an aspiring machine learning engineer, enthusiastic about neural architectures used for natural language processing and global innovation policy environments. Currently, I am back in school as a part-time student completing a master's thesis in Human Centered Data Science, specifically, extracting metadata from policy documents using transformers at the University of Toronto's I-School. I work in the Research Analytics department at the University of Toronto as the technical lead of the Discover Research product launching this fall.",6478852043,,,,https://www.linkedin.com/in/bryan-ekeh-675b56145,,False,False,https://canadaai.jobboard.io/api/v1/profiles/688359ee-cfc7-46f1-99b8-ebe9343379b4/resume,Toronto,Ontario,,Canada,,2022-09-09T13:00:00.442Z,2023-05-25T17:47:33.833Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Tegan Maharaj,Spring/Summer 2023 (April - July),,Mr.,www.linkedin.com/in/bryan-ekeh-675b56145,,Graduate Degree (Masters),Entry Level (0-2 Years),Human Centered Data Science,,Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,False,True,True -2c44328f-0b0b-44bb-8838-b105aecc16ea,gallowaa@uoguelph.ca,Angus,Galloway,https://talenthub.vectorinstitute.ai/profiles/1720599/view_image/0.jpeg,PhD Candidate in Machine Learning,"Angus Galloway is a PhD Candidate with the Machine Learning Research Group at the University of Guelph School of Engineering and Vector Institute for Artificial Intelligence in Toronto. His research aims to identify vulnerabilities in AI systems and subsequently harden them for performance-critical applications. In 2018, Angus published one of the first works on quantization and its effect on the robustness of quantized AI production systems to adversarial attacks. -In the past Angus has delivered a deep learning method to Environment and Climate Change Canada for in situ analysis of invasive mussel biomass in the Great Lakes. -Angus is recognized as a mentor, ethics reviewer, and top 10% technical reviewer at the field’s main academic conferences.",9022184109,,http://angusg.com,,https://www.linkedin.com/in/angusgalloway/,GallowayAngus,False,False,https://canadaai.jobboard.io/api/v1/profiles/2c44328f-0b0b-44bb-8838-b105aecc16ea/resume,Guelph,Ontario,,Canada,linkedin,2020-04-16T00:56:08.560Z,2022-11-17T21:33:48.096Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Student or Postdoc of a Vector Faculty Member,Graham Taylor,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/angusgalloway/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Engineering Systems and Computing,,"Full Time, Internship, Contract",Machine Learning Researcher/Scientist ,University of Guelph,True,True,True,True -8f89258a-908b-4423-8073-ab678ba8364e,vikram.voleti@gmail.com,Vikram,Voleti,https://talenthub.vectorinstitute.ai/profiles/2124415/view_image/0.jpeg,"PhD candidate, Mila, University of Montreal ; Research Intern at Meta ; former Research Intern at Google, Unity; voletiv.github.io","I work at the intersection of deep learning and computer vision. My past works span generative modeling and representation learning for images, video, and 3D. My past projects include score-based diffusion models for video prediction, generation, and interpolation ; inverse kinematics from video for 3D human pose estimation ; multi-scale continuous normalizing flows for image generation.",,,https://voletiv.github.io,,https://www.linkedin.com/in/vikram-voleti/,,False,False,,,,,,linkedin,2020-11-06T14:01:09.663Z,2022-11-11T19:11:26.657Z,False,False,Connected to Another AI Institute,Yes,Student or Postdoc of a Vector Faculty Member,Prof. Alex Wong,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/vikram-voleti/,"Computer vision, Deep learning, Generative modeling",Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Science,Type of Work is More Important to me than Sector,Full Time,Machine Learning Researcher/Scientist ,University of Waterloo,True,True,True,True -d10d38f4-a0e1-44b2-9833-8704ac1741ab,ericedemdzeha@gmail.com,Eric,Dzeha,https://talenthub.vectorinstitute.ai/profiles/2355360/view_image/1608296105957.jpeg,Student ,"I am a person of many interests, but my greatest fulfilments lie in solving complex problems and making a real-life impact on society. I am poised to deepening my understanding of how computer systems work and looking forward to building a thriving career providing necessary and relevant solutions in the specialized areas of applied artificial intelligence and cybersecurity.",+13432022067,,,,,ericedem_,False,False,https://canadaai.jobboard.io/api/v1/profiles/d10d38f4-a0e1-44b2-9833-8704ac1741ab/resume,,,,,linkedin,2021-05-12T19:34:04.653Z,2023-06-05T19:23:34.555Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/eric-dzeha-76069912b/,"Data science, Machine learning, Natural language processing, Online learning, Transfer learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Computer Science in Applied AI,"Education, Financial Services, Health, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Ottawa,True,True,True,True -0489e3c4-7a85-492d-bad2-706da3e28c3e,sbaseliz@uwaterloo.ca,Soroosh,Baselizadeh,https://talenthub.vectorinstitute.ai/profiles/3476097/view_image/1667341711471.jpeg,,,5197295429,,https://soroosh-bsl.github.io/,,https://www.linkedin.com/in/soroosh-baselizadeh/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/0489e3c4-7a85-492d-bad2-706da3e28c3e/resume,Waterloo,Ontario,,Canada,,2023-05-24T16:47:00.026Z,2023-06-07T14:02:58.460Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/emunozto/,"Computer vision, Deep learning, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),MMath in Computer Science,"Health, Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Waterloo,True,False,True,True -d8217922-fe7a-40ad-93de-d40b1997976b,nathancragg@gmail.com,Nathan,Cragg,https://talenthub.vectorinstitute.ai/profiles/3518829/view_image/1571339310199.jpeg,,,,,,,https://www.linkedin.com/in/nathancragg/,,True,False,,,,,,linkedin,2023-06-12T20:12:48.369Z,2023-06-12T20:12:48.736Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/nathancragg/,,,,,,,,,True,False,True,True -6c227385-5595-497d-b993-bb0f18729878,tsivakaran@outlook.com,Thanushon,Sivakaran,https://talenthub.vectorinstitute.ai/profiles/3524814/view_image/1569639665851.jpeg,,,,,,,https://www.linkedin.com/in/thanushonsiva/,,True,False,,,,,,linkedin,2023-06-14T23:30:39.851Z,2023-06-14T23:30:40.385Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/thanushonsiva/,,,,,,,,,True,False,True,True -92eef444-bf2b-4d76-84d3-d29f5bca1cf8,deepanshsuhane@gmail.com,Deepansh,Suhane,https://talenthub.vectorinstitute.ai/profiles/3524166/view_image/1649996152213.jpeg,,,,,,,https://www.linkedin.com/in/deepanshsuhane/,,True,False,,,,,,linkedin,2023-06-14T17:02:03.622Z,2023-06-14T17:02:04.004Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/deepanshsuhane/,,,,,,,,,True,True,True,True 201c7c5e-03c1-449e-960e-407ea33c9e1d,vasudev4@uwindsor.ca,Srivatsan,Vasudevan,https://talenthub.vectorinstitute.ai/profiles/2994457/view_image/9689619E-13BB-4E06-830E-139ED9F9A6C2.png,Software Engineer ,"Hi, I'm a graduate student at University of Windsor pursuing MSc Computer Science. I have 3 years of software development experience in India and I'm currently working as a graduate/teaching assistant at the university. I live by the quote ""Stay hungry Stay foolish"" by Steve Jobs. I'm passionate about building software that makes a difference in people's lives. I'm looking for opportunities to work as a software engineer or ML engineer. ",2267592085,,,,https://www.linkedin.com/in/srivatsan-v/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/201c7c5e-03c1-449e-960e-407ea33c9e1d/resume,Windsor,Ontario,,Canada,,2022-09-09T13:00:03.465Z,2023-07-02T20:22:41.720Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2024 (April - July),,Mr.,www.linkedin.com/in/srivatsan-v,,Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,,"Full Time, Internship, Co-op, Contract","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Windsor,True,False,True,True 616517c5-be5e-4594-916f-f2f07a2ee181,adityapadhye1507@gmail.com,Aditya,Padhye,https://talenthub.vectorinstitute.ai/profiles/3564281/view_image/1516942922598.jpeg,,,,,,,https://www.linkedin.com/in/adityapadhye1507/,,True,False,,,,,,linkedin,2023-06-29T19:18:33.196Z,2023-06-29T19:18:33.559Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/adityapadhye1507/,,,,,,,,,True,True,True,True -00d658a3-8842-42da-b5b5-5e2b6c08456d,eptehal99@hotmail.com,Eptehal,Nashnoush,https://talenthub.vectorinstitute.ai/profiles/2781511/view_image/1585334239584.jpeg,,,,,https://scholar.google.ca/citations?user=L7ld6LkAAAAJ&hl=en,,https://www.linkedin.com/in/eptehalnashnoush/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/00d658a3-8842-42da-b5b5-5e2b6c08456d/resume,,,,,linkedin,2022-04-23T21:35:55.597Z,2022-12-07T01:29:04.193Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Fall 2023 (August - November),,Ms.,https://www.linkedin.com/in/eptehalnashnoush/,"Bayesian methods, Bioinformatics, Computer vision, Data science, Deep learning, Healthcare and/or medical imaging, Machine learning, Natural language processing, Optimization, Quantum computing, Recommender systems, Reinforcement learning, Statistical learning theory, Time-series forecasting and modelling, Unsupervised learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,"Health, Software, Technology (Product Development)","Full Time, Internship, Co-op, Contract","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",University of Toronto,True,False,True,True +4fb62fc1-97f1-4838-b30d-710ad5a3e175,leye0521@hotmail.com,Yewon,Lee,https://talenthub.vectorinstitute.ai/profiles/2868211/view_image/1650864346060.jpeg,Machine Learning and Robotics Researcher | MSc Student in Computer Science ,,7789262247,,https://yewon-lee.github.io,,https://www.linkedin.com/in/leeyewon/,,True,False,,,,,,linkedin,2022-06-21T20:01:09.531Z,2022-06-23T21:04:18.341Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Florian Shkurti,Winter 2024 (December 2023 - March 2024),,Ms.,https://www.linkedin.com/in/leeyewon/,"Bayesian methods, Computer vision, Deep learning, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,"Manufacturing , Software, Technology (Product Development)","Full Time, Internship","Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True +7b16c2e2-b0a2-4992-aa76-acf0da79a014,rohan.ajwani@gmail.com,Rohan Deepak,Ajwani,https://talenthub.vectorinstitute.ai/profiles/2955107/view_image/Rohan_Image.jpeg,Masters in Engineering student at University of Toronto,,4379937494,,,,https://www.linkedin.com/in/rohan-ajwani-08b411181,,True,False,https://canadaai.jobboard.io/api/v1/profiles/7b16c2e2-b0a2-4992-aa76-acf0da79a014/resume,Toronto,Ontario,,Canada,,2022-08-15T20:15:45.919Z,2022-12-06T20:15:56.286Z,False,False,Connected to Vector Research,Yes,Other/Unsure,Interning under Dr. Frank Rudzicz,Spring/Summer 2023 (April - July),Research Intern at Vector (Summer 2022),Mr.,https://www.linkedin.com/in/rohan-ajwani-08b411181/,"Adversarial learning, Deep learning, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Electrical and Computer Engineering,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True +db0b2832-dcb5-43d6-b365-7a0e447dac57,stanley.z.hua@gmail.com,Stanley,Hua,https://talenthub.vectorinstitute.ai/profiles/3186747/view_image/1629777163230.jpeg,Aspiring ML Engineer,,4379863444,,https://www.stanhua.github.io,,,,True,False,,Toronto,Ontario,,Canada,linkedin,2022-12-19T15:10:40.298Z,2022-12-19T15:10:40.684Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Anna Goldenberg,Spring/Summer 2024 (April - July),,Mr.,https://www.linkedin.com/in/stanley-z-hua/?originalSubdomain=ca,"Computer vision, Self-supervised learning, Transfer learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science,"Health, Retail, Software, Technology (Information and Media), Technology (Product Development)","Internship, Contract, Capstone Project","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,False,True,True +a712c697-9b4f-448a-b692-6f4b5147e2fa,m.nejadsattary@queensu.ca,Masoud,Nejad-Sattary,https://talenthub.vectorinstitute.ai/profiles/2994420/view_image/photo_2022-04-06_11-52-52.jpg,Experienced Technology Executive,"Highly experienced technology executive with extensive experiance in the Information and Communications industry. Proven track record of leading teams in the implementation and upgrade of mobile network core elements, transmission and IP network equipment, carrier-grade web caching/content delivery network solutions, large enterprise private and campus data networks, data center design and implementation, and the maintenance and optimization of GSM networks. Skilled in project management with experience delivering projects from the sales and pre-sales stages to implementation, customization, and delivery. Co-founder and mentor for start-up projects in AI and related telecommunication industries. Strong skills in team leadership, global operations, product development, artificial intelligence, telecommunications, and IT network administration.",6478469708,,,,https://www.linkedin.com/in/masood-sattary/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a712c697-9b4f-448a-b692-6f4b5147e2fa/resume,Toronto,Ontario,,Canada,,2022-09-09T12:59:58.438Z,2023-01-03T10:47:34.705Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/masood-sattary,,Graduate Degree (Masters),Senior Level (5+ Years),Artificial Intelligence / Master of Financial Innovations and Technologies,,"Full Time, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Product/Project Manager",Queen's University,True,True,True,True +e7d5c9ce-3fd8-4301-8f8f-1970630faf0c,keerat@cs.toronto.edu,Keerat Kaur,Guliani,https://talenthub.vectorinstitute.ai/profiles/3010865/view_image/20220504165412_IMG_2825.JPG,MSc in Applied Computing student,,9057822065,,https://kkguliani.netlify.app/,,https://www.linkedin.com/in/keerat-kaur-guliani/,GulianiKaur,True,False,https://canadaai.jobboard.io/api/v1/profiles/e7d5c9ce-3fd8-4301-8f8f-1970630faf0c/resume,Toronto,Ontario,,Canada,,2022-09-20T15:14:13.912Z,2022-12-16T19:40:10.478Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Dr. Rahul G Krishnan,Spring/Summer 2024 (April - July),,Ms.,https://www.linkedin.com/in/keerat-kaur-guliani/,"Data science, Deep learning, Healthcare and/or medical imaging, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),MSc in Applied Computing,"Health, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,False,True,True +6eac6128-fa6d-426e-96f0-f4fb1e26bfc2,ashley.girgis@mail.utoronto.ca,Ashley,Girgis,https://talenthub.vectorinstitute.ai/profiles/3020097/view_image/linkedin_pic.jpg,Master of Health Informatics Candidate,"Health informatics enthusiast, eager to dive deeper into the realm of digital health. Seeking practicum opportunities for May 2023 - August 2023.",2899838080,,,,https://www.linkedin.com/in/agirgis,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6eac6128-fa6d-426e-96f0-f4fb1e26bfc2/resume,,,,,,2022-09-26T18:07:38.752Z,2022-12-16T06:55:51.642Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Winter 2024 (December 2023 - March 2024),,Ms.,https://www.linkedin.com/in/agirgis/,"Healthcare and/or medical imaging, Machine learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Health Informatics,"Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Internship, Co-op, Contract","Data Analyst, Data Scientist, Machine Learning Researcher/Scientist , Product/Project Manager",University of Toronto,True,False,True,True +30e65e88-9203-4cd0-882b-ba849eae2f50,kassem6@uwindsor.ca,Aly,Kassem,https://talenthub.vectorinstitute.ai/profiles/2874092/view_image/1600917205478.jpeg,Research Assistant,"Aly Kassem is a Junior Machine Learning Scientist who graduated from the Department of Computer Science, Helwan University with a CGPA: 3.61. His research spans all stages of Machine/Deep Learning such as Feature Extraction, Segmentation, and Classification with specific emphasis on Language Models, and Arabic Handwritten OCRs. Recently, I have started working as a research assistant at WASP labs at the University of Windsor, where I am exploring the security, privacy, and reliability of large language models + +",+12262804259,,,,https://www.linkedin.com/in/aly-kassem/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/30e65e88-9203-4cd0-882b-ba849eae2f50/resume,Windsor,Ontario,,Canada,,2022-06-25T16:37:57.603Z,2023-01-01T22:34:37.897Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Spring/Summer 2024 (April - July),,Mr.,https://www.linkedin.com/in/aly-kassem/,,Graduate Degree (Masters),Entry Level (0-2 Years),MSc. Of Computer Science. AI Stream,"Education, Health, Software","Internship, Co-op, Contract","Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Windsor,True,False,True,True +2c44328f-0b0b-44bb-8838-b105aecc16ea,gallowaa@uoguelph.ca,Angus,Galloway,https://talenthub.vectorinstitute.ai/profiles/1720599/view_image/0.jpeg,PhD Candidate in Machine Learning,"Angus Galloway is a PhD Candidate with the Machine Learning Research Group at the University of Guelph School of Engineering and Vector Institute for Artificial Intelligence in Toronto. His research aims to identify vulnerabilities in AI systems and subsequently harden them for performance-critical applications. In 2018, Angus published one of the first works on quantization and its effect on the robustness of quantized AI production systems to adversarial attacks. +In the past Angus has delivered a deep learning method to Environment and Climate Change Canada for in situ analysis of invasive mussel biomass in the Great Lakes. +Angus is recognized as a mentor, ethics reviewer, and top 10% technical reviewer at the field’s main academic conferences.",9022184109,,http://angusg.com,,https://www.linkedin.com/in/angusgalloway/,GallowayAngus,True,False,https://canadaai.jobboard.io/api/v1/profiles/2c44328f-0b0b-44bb-8838-b105aecc16ea/resume,Guelph,Ontario,,Canada,linkedin,2020-04-16T00:56:08.560Z,2022-11-17T21:33:48.096Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Student or Postdoc of a Vector Faculty Member,Graham Taylor,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/angusgalloway/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Engineering Systems and Computing,,"Full Time, Internship, Contract",Machine Learning Researcher/Scientist ,University of Guelph,True,True,True,True +8f89258a-908b-4423-8073-ab678ba8364e,vikram.voleti@gmail.com,Vikram,Voleti,https://talenthub.vectorinstitute.ai/profiles/2124415/view_image/0.jpeg,"PhD candidate, Mila, University of Montreal ; Research Intern at Meta ; former Research Intern at Google, Unity; voletiv.github.io","I work at the intersection of deep learning and computer vision. My past works span generative modeling and representation learning for images, video, and 3D. My past projects include score-based diffusion models for video prediction, generation, and interpolation ; inverse kinematics from video for 3D human pose estimation ; multi-scale continuous normalizing flows for image generation.",,,https://voletiv.github.io,,https://www.linkedin.com/in/vikram-voleti/,,True,False,,,,,,linkedin,2020-11-06T14:01:09.663Z,2022-11-11T19:11:26.657Z,False,False,Connected to Another AI Institute,Yes,Student or Postdoc of a Vector Faculty Member,Prof. Alex Wong,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/vikram-voleti/,"Computer vision, Deep learning, Generative modeling",Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Science,Type of Work is More Important to me than Sector,Full Time,Machine Learning Researcher/Scientist ,University of Waterloo,True,True,True,True +ef5db7aa-53c5-4545-9e74-2c772387d64d,ellamorgan112@gmail.com,Ella,Morgan,https://talenthub.vectorinstitute.ai/profiles/2960364/view_image/1628981095626.jpeg,Master's Student in AI,,,,http://ellamorgan.ca,,https://www.linkedin.com/in/ella-morgan-9b7630164/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ef5db7aa-53c5-4545-9e74-2c772387d64d/resume,Kingston,Ontario,,Canada,linkedin,2022-08-18T20:22:27.109Z,2022-08-25T16:57:58.688Z,False,False,Recognized Masters Program,Yes,Vector Scholarship Recipient,,Already Graduated,,Ms.,https://www.linkedin.com/in/ella-morgan-9b7630164/,"Computer vision, Deep learning, Interpretability, Machine learning, Optimization, Representation learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),"Master's in Computing, Specialization in Artificial Intelligence","Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Queen's University,True,False,True,True +189601bf-503a-4a37-8fc7-dd52d9ad5fdf,hudafathima1402@gmail.com,Huda,Irfan Thalib,https://talenthub.vectorinstitute.ai/profiles/3005622/view_image/fdc15418-29d0-43f8-ab44-abdf9ec7c5d0.jpg,Aspiring Data Analyst,Master of Management in Artificial Intelligence at Schulich School of Business | Computer Science graduate,9055509968,,,,https://www.linkedin.com/in/huda-thalib-8858b01b0/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/189601bf-503a-4a37-8fc7-dd52d9ad5fdf/resume,,,,Canada,,2022-09-16T19:32:34.693Z,2023-05-15T19:32:38.401Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Spring/Summer 2023 (April - July),,Ms.,https://www.linkedin.com/in/huda-thalib/,"Deep learning, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management in Artificial Intelligence,"Financial Services, Health, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer",York University,True,True,True,True +9aa18dbb-d6b3-4e12-afbc-d2791f45327d,jasonzhoujc@outlook.com,Jason (Jiachen),Zhou,https://talenthub.vectorinstitute.ai/profiles/2364629/view_image/Jason_Zhou_aUToronto_headshot_square.JPG,Computer Vision Researcher,,,,,,https://www.linkedin.com/in/jiachenjason-zhou/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9aa18dbb-d6b3-4e12-afbc-d2791f45327d/resume,,,,,linkedin,2021-05-19T18:01:27.407Z,2022-08-20T19:13:39.460Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,University of Toronto Institute for Aerospace Studies,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/jiachenjason-zhou/,"AI safety, Computer vision, Data science, Deep learning, Gaussian processes, Graphical models, Machine learning, Optimization, Recommender systems, Reinforcement learning, Robotics, Self-supervised learning, Transfer learning, Unsupervised learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Mid-Level (3-5 Years),MASc in Aerospace Science & Engineering,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Full Time, Internship, Co-op","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Toronto,True,True,True,True +5b7fb0d5-91a1-49a2-b3d3-99c1b60d3c21,egheibi@dal.ca,Mirerfan,Gheibi,https://talenthub.vectorinstitute.ai/profiles/2278177/view_image/prof_pic.png,Master's of Computer Science,,+17828822142,,https://mirerfangheibi.github.io,,https://www.linkedin.com/in/mirerfangheibi/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/5b7fb0d5-91a1-49a2-b3d3-99c1b60d3c21/resume,Toronto,Ontario,,Canada,,2021-03-19T14:36:03.251Z,2023-05-22T14:25:27.639Z,True,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Sageev Oore,Already Graduated,,Mr.,https://www.linkedin.com/in/mirerfangheibi/,"Computer vision, Deep learning, Transfer learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master's of Computer Science,Type of Work is More Important to me than Sector,Full Time,"Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True +23fe212c-0e99-4a6e-92e3-d80740962212,royadehghani94@gmail.com,Roya,Dehghani,https://talenthub.vectorinstitute.ai/profiles/2504474/view_image/Roya_Photo_1_.jpg,Graduate resercher,"I am a research and teaching assistant at the University of Ontario Tech and a Vector Scholarship recipient in Artificial Intelligence. My research area is in deep learning and computer vision. +",2896858646,,,,https://linkedin.com/in/rdehghani73,,False,False,https://canadaai.jobboard.io/api/v1/profiles/23fe212c-0e99-4a6e-92e3-d80740962212/resume,Toronto,Ontario,,Canada,,2021-09-10T17:42:51.495Z,2023-05-27T00:05:27.587Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Spring/Summer 2023 (April - July),,Miss.,https://www.linkedin.com/in/roya-dehghani-491055151/,"Computer vision, Data science, Robotics, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Financial Services, Retail, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Software Engineer",OntarioTech University,True,True,True,True +d07844ad-905f-445d-80e5-52cf545b7428,ray.bernard@outlook.com,Ray,Bernard,https://talenthub.vectorinstitute.ai/profiles/3584339/view_image/1552319947867.jpeg,,,,,,,https://www.linkedin.com/in/ray-bernard-960382/,,True,False,,,,,,linkedin,2023-07-07T14:14:35.528Z,2023-07-07T14:14:36.013Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/ray-bernard-960382/,,,,,,,,,True,True,True,True +d1a6b538-09db-4b2d-ae23-566523d53848,osamaelkot12@gmail.com,Osama,Elkott,https://talenthub.vectorinstitute.ai/profiles/3608072/view_image/photo.png,,,7052800433,,,,https://www.linkedin.com/in/osama-elsayed-309631137/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d1a6b538-09db-4b2d-ae23-566523d53848/resume,Sudbury,Ontario,,Canada,,2023-07-16T20:16:30.165Z,2023-07-16T20:16:30.206Z,True,True,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2024 (April - July),,Mr.,https://www.linkedin.com/in/osama-elsayed-309631137/,"Anomaly detection, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Laurentian University,True,True,True,True +5441f56b-b9be-4164-a09a-f22f461f70bb,s3srivat@uwaterloo.ca,Shruti,Srivatsan,https://talenthub.vectorinstitute.ai/profiles/3125424/view_image/shruti.jpg,Aspiring Machine Learning Engineer,,+12268998356,,,,https://www.linkedin.com/in/shruti-srivatsan-27s/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/5441f56b-b9be-4164-a09a-f22f461f70bb/resume,Waterloo,Ontario,,Canada,,2022-11-07T22:17:52.750Z,2023-01-19T19:50:15.153Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2024 (April - July),,Ms.,https://www.linkedin.com/in/shruti-srivatsan-27s/,"Bioinformatics, Data science, Healthcare and/or medical imaging, Machine learning, Natural language processing, Recommender systems, Transfer learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Science and Artificial Intelligence,"Education, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Internship, Co-op, Capstone Project","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",University of Waterloo,True,True,True,True +cc23969c-5e18-461b-ab30-ad408e9c4adb,ericjs.yu@mail.utoronto.ca,Eric,Yu,https://talenthub.vectorinstitute.ai/profiles/3589491/view_image/WechatIMG1085.jpg,Experience Data Science Student,"A detail-oriented data science student with a strong analytical and coding background, eager to learn and explore",4387228427,,https://github.com/jiangshan-yu,,https://www.linkedin.com/in/jiangshan-yu/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/cc23969c-5e18-461b-ab30-ad408e9c4adb/resume,Toronto,Ontario,,Canada,,2023-07-10T06:22:34.463Z,2023-07-12T10:08:03.682Z,True,True,Vector Scholarship Nominee,Yes,Vector Scholarship Nominee,,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/jiangshan-yu/,"Data science, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),MScAC - Data Science,"Financial Services, Health, Software, Technology (Product Development), Telecommunications","Full Time, Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True 2a070f18-23da-4ab4-8b57-cf2f83f54dca,gabriel@cs.toronto.edu,Gabriel,Islas,https://talenthub.vectorinstitute.ai/profiles/2648580/view_image/FUF6PCxWIAAHdQo.jpeg,,"Recent MSc CS graduate from the University of Toronto with previous experience in the tech industry, I founded and led one of the first online payment processors in Latin America. I am seeking to apply my mindset, background, and skillset in deep learning to challenging and open-ended problems in applied AI. ",6475121653,,,,,,False,False,https://canadaai.jobboard.io/api/v1/profiles/2a070f18-23da-4ab4-8b57-cf2f83f54dca/resume,Toronto,Ontario,,Canada,,2022-01-13T20:27:37.599Z,2023-02-03T17:46:07.223Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/jgim/,"Computer vision, Deep learning, Interpretability, Transfer learning",Graduate Degree (Masters),Mid-Level (3-5 Years),MSc in Applied Computing,"Financial Services, Health, Software, Technology (Product Development)",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True 34049f95-9aad-4db5-8d44-97838b40b7f5,edenjoyracca@gmail.com,Eden,Barker,https://talenthub.vectorinstitute.ai/profiles/3257021/view_image/1660330831379.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-02-03T19:51:24.444Z,2023-02-03T19:51:24.849Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,True,True,True @@ -2146,7 +2170,6 @@ Skilled in data visualization to uncover insights.",226-581-3614,,https://github 4d17c44c-a0d5-4b20-9a7d-bc43678468a3,jinsoo.park@mail.utoronto.ca,James,Park,https://talenthub.vectorinstitute.ai/profiles/3241607/view_image/1645205317037.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-01-25T19:52:11.643Z,2023-01-25T19:52:12.018Z,False,False,Not Affiliated with Vector,No,,,,,,https://ca.linkedin.com/in/james-park-3732b31b1,,,,,,,,,True,False,True,True e5010726-4289-445b-861f-45ea5193091d,alifmunim@gmail.com,Alif,Munim,https://talenthub.vectorinstitute.ai/profiles/2820841/view_image/Screen_Shot_2022-08-27_at_3.37.20_PM.png,"Computer Science Co-op Student @ Ryerson | Prev. @ Vector, IBM",,,,https://alifmunim.com/,,https://www.linkedin.com/in/alif-munim/,,False,False,,,,,,linkedin,2022-05-20T18:25:09.172Z,2023-01-27T21:06:30.212Z,True,False,Internal Staff,Yes,Student or Postdoc of a Vector Faculty Member,Bo Wang,Winter 2023 (December 2022 - March 2023),Applied Machine Learning Intern,Mr.,https://www.linkedin.com/in/alif-munim/,"Computer vision, Healthcare and/or medical imaging, Self-supervised learning",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),BSc. Computer Science (Hons. Co-op),"Education, Health, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Ryerson University,True,True,True,True 9598479f-431e-4273-a30c-7f96385a7e44,hiltonm1989@gmail.com,Hilton,Maurer,https://talenthub.vectorinstitute.ai/profiles/3222119/view_image/1645484197364.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-01-13T21:59:57.533Z,2023-01-13T21:59:57.968Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,False,True,True -ba19045e-fe26-422f-9107-6a224154d3e3,xinman.liu@mail.utoronto.ca,Xinman,Liu,https://talenthub.vectorinstitute.ai/profiles/3212138/view_image/1666997966312.jpeg,Graduate Student,"I am currently a graduate student at the University of Toronto. My research interest lies in the machine learning area, especially natural language processing and recommendation system. I am aiming to become an applied researcher working in the industry in the future.",4162195517,,,,https://www.linkedin.com/in/xinman-liu-blair,,False,False,https://canadaai.jobboard.io/api/v1/profiles/ba19045e-fe26-422f-9107-6a224154d3e3/resume,Toronto,Ontario,,Canada,linkedin,2023-01-07T20:56:07.345Z,2023-01-07T20:56:07.678Z,True,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Winter 2024 (December 2023 - March 2024),,Miss.,https://www.linkedin.com/in/xinman-liu-blair,"Machine learning, Natural language processing, Recommender systems",Graduate Degree (Masters),Entry Level (0-2 Years),MSc in Applied Computing,Type of Work is More Important to me than Sector,Internship,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,False,True,True d4f2f353-ee78-48d8-b65a-e0d80df6877c,roel.wier@gmail.com,Roeland,Wiersema,https://talenthub.vectorinstitute.ai/profiles/3229408/view_image/tronno.jpg,PhD Student,,,,,,,,True,False,,,,,,,2023-01-18T15:53:34.558Z,2023-01-29T16:00:51.198Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Juan-Felipe Carrasquilla,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/roelandwiersema/?originalSubdomain=ca,"Deep learning, Machine learning, Physics",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Physics and Astronomy,Technology (Product Development),Contract,Machine Learning Researcher/Scientist ,University of Waterloo,True,False,True,True 3a350cfb-eaca-40c4-89ef-9dab9c690fb4,skris064@uottawa.ca,Saranya,Krishnasami,https://talenthub.vectorinstitute.ai/profiles/2949462/view_image/1596396969974.jpg,Graduate student in Artificial Intelligence at University of Ottawa with diverse 8 yrs of experience as Lead System Integration Engineer in Microsoft technologies in many leading domains,"An experienced, disciplined, and highly motivated Agile Software Programs Engineer specialized in Data Analytics, Data Architecture & Design, Data Integration, development, and Maintenance Support. I currently pursuing my Master degree from University of Ottawa specialization in AI that will enable career growth in the field of AI and my overall skill set enhancement.",3439872620,,,,https://ca.linkedin.com/in/saranya-krishnasami-balaji-1158948b,,False,False,https://canadaai.jobboard.io/api/v1/profiles/3a350cfb-eaca-40c4-89ef-9dab9c690fb4/resume,Ottawa,Ontario,,Canada,,2022-08-11T17:59:17.829Z,2023-01-17T20:57:13.022Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Mrs.,https://www.linkedin.com/in/saranya-balaji-1158948b,"Deep learning, Machine learning, Natural language processing",Graduate Degree (Masters),Senior Level (5+ Years),Master of Computer Science Appl. Artificial Intelligence,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Contract","Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Ottawa,True,True,True,True 1b4d6b3a-5a22-4c36-80bb-ad1aa5e911bf,20fagf@queensu.ca,Felipe,A. Gomes Ferreira,https://talenthub.vectorinstitute.ai/profiles/2078124/view_image/20200614_205816_2.jpg,,"I am a PhD in Theoretical Physics with 8 years of research experience which resulted in the publication of scientific articles in high circulation journals. Recently, an Anti-Money Laundering Data Scientist at Scotiabank and a Master of Management in Artificial Intelligence from Queen's University with strong technical and conversational skills who have managed several AI team projects of large industrial interests related to finance, marketing, investment increasing, consulting and technology development. @@ -2171,68 +2194,6 @@ da92bfcf-93e1-4c86-8192-b872c45633a5,tiamiyusaheedoluwatosin@gmail.com,Saheed,Ti 9363c763-bfcb-4b1f-9a02-d50f08fae912,wil.xu@mail.utoronto.ca,Yudong,Xu,https://talenthub.vectorinstitute.ai/profiles/3014981/view_image/pfp.jpg,AI Researcher,,6475718487,,,,https://www.linkedin.com/in/xuwil/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/9363c763-bfcb-4b1f-9a02-d50f08fae912/resume,Toronto,Ontario,,Canada,,2022-09-22T23:48:26.934Z,2023-04-04T19:11:05.737Z,True,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,"Elias Khalil, Scott Sanner",Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/xuwil/,"Few-shot learning, Machine learning, Optimization",Graduate Degree (Masters),Entry Level (0-2 Years),Industrial Engineering,"Education, Financial Services, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation",Full Time,"Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,False,True,True a1b6834d-a662-4161-a074-2f6393b4d4f5,sankeerth.durv@gmail.com,Sankeerth,Durvasula,https://talenthub.vectorinstitute.ai/profiles/3284348/view_image/1583180972955.jpeg,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a1b6834d-a662-4161-a074-2f6393b4d4f5/resume,,,,,linkedin,2023-02-20T02:31:07.434Z,2023-02-20T02:31:07.797Z,True,True,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,,Fall 2024 (August - November),,Mr.,https://www.linkedin.com/in/sankeerth-durvasula-0a9294194/?originalSubdomain=ca,"Deep learning, Optimization, Physics, Reinforcement learning, Robotics",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science,,"Full Time, Internship","Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True a883ab03-cda3-4775-8441-e3cb2d700b0a,rtaero@gmail.com,Rishi,Tandon,https://talenthub.vectorinstitute.ai/profiles/3276185/view_image/1641189468705.jpeg,,,2498762616,,,,,,False,False,,,,,Canada,linkedin,2023-02-15T00:27:32.530Z,2023-03-08T21:36:51.539Z,True,True,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,British Columbia,Fall 2023 (August - November),,Mr.,N/A,,Graduate Degree (Masters),Mid-Level (3-5 Years),MBA,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer, Other ",Other,True,True,True,True -1724e251-7dc6-43f0-a8ee-21f2fa9a5ec8,lsmartinezru@gmail.com,Samanta,Martínez,https://talenthub.vectorinstitute.ai/profiles/3393028/view_image/1589459384192.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-04-12T20:42:01.321Z,2023-04-12T20:42:01.927Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/zamantamartinez/,,,,,,,,,True,True,True,True -6c020b58-d0b2-4241-9664-55b6544ad33b,sabyasachi.patjoshi@caa.columbia.edu,Sabyasachi,Patjoshi,https://talenthub.vectorinstitute.ai/profiles/3422312/view_image/1679787303664.jpeg,,,,,,,https://www.linkedin.com/in/saabe/,,True,False,,,,,,linkedin,2023-04-28T03:09:47.042Z,2023-04-28T03:09:47.433Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/saabe/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Science Computer Science,"Financial Services, Health, Manufacturing , Retail, Telecommunications, Transportation",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",Western University,True,True,True,True -895b007a-0e64-4fbe-b2f2-ce3d6cadd5be,faheem.mohammed@ryerson.ca,Faheem,Mohammed Abdul,https://talenthub.vectorinstitute.ai/profiles/2493454/view_image/1599780730095.jpg,Data Scientist,"Experienced and Self-Motivated Data Scientist with 1+ years of professional experience and in-depth knowledge in data warehousing and business intelligence concepts. Strong knowledge in data collection, interpretation, analysis, and data tools to transform it into a useful format providing historical context to support business decision-making. Collected, cleansed, and prepared modeling and analyses of structured and unstructured data used for major business initiatives. Able to manage a heavy workload, follow internal practices and procedures while meeting tight deadlines.",4167169297,,,,,,False,False,https://canadaai.jobboard.io/api/v1/profiles/895b007a-0e64-4fbe-b2f2-ce3d6cadd5be/resume,Toronto,Ontario,,Canada,,2021-09-01T18:38:14.469Z,2023-05-01T21:18:56.894Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/faheemma/,"AI safety, Data science, Machine learning, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),Data Science and Analytics (MSc),Type of Work is More Important to me than Sector,"Full Time, Internship, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True -45c9c37d-3dcd-4e3d-b995-e0dc6609e7e3,kyaw.friends@gmail.com,Kyaw Kyaw,Oo,https://talenthub.vectorinstitute.ai/profiles/3235090/view_image/1517684225345.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-01-22T04:41:21.853Z,2023-01-22T04:41:22.287Z,False,False,,,,,,,,,,,,,,,,,True,False,True,True -b4d551ec-bc05-4f2d-8811-af0e4a73f629,xiaozhang20030215@gmail.com,Xiao,Zhang,https://talenthub.vectorinstitute.ai/profiles/3441855/view_image/1626977475939.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-05-08T16:08:58.097Z,2023-05-08T16:08:58.654Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/xiao215/,,,,,,,,,True,True,True,True -b4ba298a-34e5-406f-a9c6-52f5aca0160b,farshid.faal@gmail.com,Farshid,Faal,https://talenthub.vectorinstitute.ai/profiles/3335556/view_image/1666712347959.jpeg,,"• Ph.D. in computer science focused on machine learning and natural language processing -with 7+ years of industry experience working as a senior data scientist, machine learning -specialist, and software engineer within the Canadian industry. -• 5+ years of industry experience in conversational AI, natural language processing, and -graph machine learning using PyTorch and TensorFlow frameworks. -• 5+ years of industry development experience in end-to-end machine-learning model creation -and execution, with core software engineering skills. -",,,,,https://www.linkedin.com/in/farshidfaal/,,False,False,,,,,,linkedin,2023-03-17T18:52:52.571Z,2023-03-29T19:55:28.566Z,True,True,Unaffiliated PhD Graduate/Candidate,Yes,Unsure,,Already Graduated,,Mr.,https://www.linkedin.com/in/farshidfaal/,"AI safety, Anomaly detection, Data science, Deep learning, Fairness, Few-shot learning, Generative modeling, Machine learning, Natural language processing, Reinforcement learning, Representation learning, Self-supervised learning, Transfer learning, Unsupervised learning",Postgraduate Degree (PhD),Senior Level (5+ Years),"Computer Science (NLP, ML)",,Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True -c290459f-af49-4668-abf8-72d645286aa2,rqaiser@uwaterloo.ca,Rameesha,Qaiser,https://talenthub.vectorinstitute.ai/profiles/3446420/view_image/1666674333640.jpeg,,,,,,,https://www.linkedin.com/in/rameesha-qaiser/,,True,False,,,,,,linkedin,2023-05-10T14:02:37.922Z,2023-05-10T14:02:38.295Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/rameesha-qaiser/,,,,,,,,,True,True,True,True -c698d193-8dff-4258-8b60-3551c9e169db,mohibshirazi21@gmail.com,Mohammad Mohibullah Khan,Shirazi,https://talenthub.vectorinstitute.ai/profiles/3365672/view_image/1516558909270.jpeg,,,,,,,https://www.linkedin.com/in/mmkshirazi/,,False,False,,,,,,linkedin,2023-03-31T16:56:40.654Z,2023-03-31T16:56:41.232Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/mmkshirazi/,"Data science, Machine learning, Optimization",Graduate Degree (Masters),Mid-Level (3-5 Years),MMath Data Science,Type of Work is More Important to me than Sector,Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Waterloo,True,True,True,True -33f859ed-74e4-4d26-bd33-0f4228b032cf,bhsfermy@gmail.com,Yan,Ma,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,True,,,,,,linkedin,2022-09-22T22:23:14.282Z,2022-09-22T22:23:14.863Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/yan-ma-b4b64b211/,,,,,,,,,True,True,True,True -0e5242d1-6800-4854-8591-5362e6894199,chan.kenny.kc@gmail.com,Kenny King-Chung,Chan,https://talenthub.vectorinstitute.ai/profiles/2868414/view_image/1633355936168.jpeg,Intensive Care Consultant,"Dr Kenny Chan is an experienced anaesthesiologist and intensive care doctor. He pioneered multiple areas of health care innovation in Hong Kong, including intensive care informatics, crew resource management training, simulation training, and extracorporeal membrane oxygenation. His passion is boosting patient care standards through innovation and technology. He had served as the founding director of the Nethersole Clinical Simulation & Training Centre, a regional faculty for the American Heart Association's resuscitation training, the first vice-chairman of the Resuscitation Council of Hong Kong, and the chairman of the Hong Kong Society of Critical Care Medicine. He has led the development of a unified ICU clinical information system for all public hospitals in Hong Kong, with more than 20,000 admissions per year. He is venturing into the world of AI in healthcare and exploring new career opportunities.",4165182338,,,,https://linkedin.com/in/kenny-king-chung-chan-215a54220,,False,False,https://canadaai.jobboard.io/api/v1/profiles/0e5242d1-6800-4854-8591-5362e6894199/resume,Toronto,Ontario,,Canada,linkedin,2022-06-21T23:36:35.865Z,2023-02-23T03:39:28.047Z,True,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Fall 2023 (August - November),,Dr.,https://linkedin.com/in/kenny-king-chung-chan-215a54220,"Anomaly detection, Computer vision, Healthcare and/or medical imaging",Graduate Degree (Masters),Senior Level (5+ Years),Master of Management in Artificial Intelligence,"Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Machine Learning Researcher/Scientist , Other ",Queen's University,True,True,True,True -b92c480c-12d3-4101-b110-23a74515fea6,elkhan@unist.ac.kr,Elkhan,Ismayilzada,https://talenthub.vectorinstitute.ai/profiles/3046122/view_image/elkan.jpg,,,,,https://elkhanzada.github.io/,,https://www.linkedin.com/in/elkhanzada/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/b92c480c-12d3-4101-b110-23a74515fea6/resume,,,,,,2022-10-14T14:39:58.937Z,2022-10-17T15:41:11.216Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Nominee,,Spring/Summer 2024 (April - July),Vector Scholarship Nominee,Mr.,https://www.linkedin.com/in/elkhanzada/,"Computer vision, Deep learning, Machine learning",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Computer Science and Engineering,Type of Work is More Important to me than Sector,"Full Time, Contract","Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",Other,True,False,True,True -8e6c5a6e-f0a2-4a90-9787-c771497f2ca9,rylee@uoguelph.ca,Rylee,Thompson,https://talenthub.vectorinstitute.ai/profiles/2511305/view_image/1571963673119.jpeg,,"I'm a recent grad seeking full-time employment. I graduated with a MASc degree in Engineering Systems and Computing with a specialization Artificial Intelligence, was advised by Graham W. Taylor, and received the Vector Scholarship in 2021 ($17,500 CAD). During my time at school, I published two first-author papers: one on generating LEGO structures using generative models of graphs (at a NeurIPS 2020 workshop), and another on evaluating graph generative models (at ICLR 2022). I also interned at Apple as a ML researcher where my work focused on applying diffusion models to object detection.",,,,,https://www.linkedin.com/in/rylee-thompson/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/8e6c5a6e-f0a2-4a90-9787-c771497f2ca9/resume,Guelph,Ontario,,Canada,linkedin,2021-09-16T04:53:28.933Z,2023-05-25T18:17:18.102Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,Graham Taylor,Already Graduated,,Mr.,https://www.linkedin.com/in/rylee-thompson/,"Computer vision, Deep learning, Generative modeling, Graphical models, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),"MASc Engineering Systems and Computing, Collaborative Specialization in Artificial Intelligence","Financial Services, Software, Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Data Architect, Data Engineer, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Guelph,True,True,True,True -0b0cd3f2-c794-4f44-86e2-4ceb049e3b4a,ersegun@gmail.com,Ersegun,Kocoglu,https://talenthub.vectorinstitute.ai/profiles/1974067/view_image/Ersegun_Kocoglu_profile_photo.jpg,Director of Product Management and Marketing,"An accomplished product marketing executive with over 20 years of distinguished service in managing product lifecycles and exploring market trends and data sets. Demonstrated expertise in conceptualizing, developing, and executing high-impact strategies to drive revenue growth. Recognized for leading high-performing teams, launching innovative products, driving successful marketing campaigns, and cultivating customer-centric solutions. Skilled in advising executive leadership on digital transformation strategies and enhancing business performance. Proficient in overseeing client satisfaction policies, problem resolution frameworks, requirements documentation, and cross-functional collaborations. Effective communicator adept at fostering strong business relationships and delivering robust solutions across organizations.",6476797871,,,,https://www.linkedin.com/in/ersegun/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/0b0cd3f2-c794-4f44-86e2-4ceb049e3b4a/resume,Toronto,Ontario,,Canada,,2020-09-11T13:47:18.020Z,2023-05-25T17:57:05.375Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/ersegun/,"Natural language processing, Recommender systems, Self-supervised learning",Graduate Degree (Masters),Senior Level (5+ Years),Master of Management in Artificial Intelligence,"Financial Services, Professional Services (e.g Consulting), Retail, Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Contract",Product/Project Manager,York University,True,True,True,True -d378dca8-2489-4181-8719-127048f215d4,nimahsnd@gmail.com,Nima,Hosseini Dashtbayaz,https://talenthub.vectorinstitute.ai/profiles/2992102/view_image/photooo.jpg,M.Sc. in Computer Science at Western University,,2265035097,,,,https://www.linkedin.com/in/nimahsn/,nimahsnd,False,False,https://canadaai.jobboard.io/api/v1/profiles/d378dca8-2489-4181-8719-127048f215d4/resume,London,Ontario,,Canada,,2022-09-08T04:50:50.274Z,2023-04-08T18:41:05.114Z,True,False,Recognized Masters Program,Yes,Vector Scholarship Recipient,Boyu Wang,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/nimahsn/,"Computer vision, Deep learning, Transfer learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Manufacturing , Technology (Information and Media), Technology (Product Development), Transportation, Type of Work is More Important to me than Sector","Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Western University,True,True,True,True -356a74d4-ef32-4d33-a97b-c30e692d2de6,nafizishtiaque@gmail.com,Nafiz,Ishtiaque,https://talenthub.vectorinstitute.ai/profiles/3464288/view_image/1665381648021.jpeg,Theoretical Physicist,"I am working on integrability, string theory, and information theory. Looking for practical applications of mathematical research, especially in the field of machine learning and AI.",+33622801711,,https://scholar.google.com/citations?user=Y3U6_UsAAAAJ&hl=en,,https://www.linkedin.com/in/nafizishtiaque/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/356a74d4-ef32-4d33-a97b-c30e692d2de6/resume,,Ontario,,Canada,linkedin,2023-05-19T00:37:18.280Z,2023-05-26T07:00:21.978Z,True,True,Unaffiliated PhD Graduate/Candidate,Yes,Unsure,,Already Graduated,Unsure if I can be considered associated. I graduated from the University of Waterloo but my degree is in Physics. I am also working on some problems in quantum computing with Prof. Roger Melko who is an affiliated faculty but we have not yet finished any project. Please disregard my profile if no association is deemed present.,Mr.,https://www.linkedin.com/in/nafizishtiaque/,"Deep learning, Quantum computing, Statistical learning theory",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Theoretical Physics,Type of Work is More Important to me than Sector,"Full Time, Contract","Data Scientist, Machine Learning Researcher/Scientist ",University of Waterloo,True,True,True,True -91aa6b58-1d29-4362-8d80-e867f4f521d4,valrondier@gmail.com,Valerie,Dier,https://talenthub.vectorinstitute.ai/profiles/3390751/view_image/021_Cropped_for_headshot_-_4.jpg,Controls / Automation Engineer,"Chemical engineer with extensive industrial automation experience. Seeking roles to grow expertise in machine learning applicability whether in infrastructure, industry, or business development. - -Actively pursuing learning on various platforms focussing on machine learning, and drawing upon previous engineering experience with an aim to develop strategies and best practices. - -Available in September 2023 with a couple months' notice.",403-404-6407,,,,https://www.linkedin.com/in/valeriedier,,False,False,https://canadaai.jobboard.io/api/v1/profiles/91aa6b58-1d29-4362-8d80-e867f4f521d4/resume,Edmonton,Alberta,,Canada,,2023-04-11T21:46:23.805Z,2023-04-13T20:38:11.344Z,True,False,Other Vector Programming,Yes,Other Vector Programming,,Already Graduated,Caregivers and Machine Learning 2023 cohort,Mrs.,https://www.linkedin.com/in/valeriedier,"AI safety, Data science, Machine learning",Undergraduate Degree (Bachelors),Senior Level (5+ Years),Chemical Engineering,"Education, Manufacturing , Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract, Capstone Project","Data Analyst, Machine Learning Engineer, Other ",Queen's University,True,True,True,True -7a2c1135-0154-45cc-8bc9-a9e295b196d4,aritroroyarko@gmail.com,Aritro Roy,Arko,https://talenthub.vectorinstitute.ai/profiles/3459674/view_image/1623298101196.jpeg,,,,,,,https://www.linkedin.com/in/aritro-roy-arko-6b2165141/,,True,False,,,,,,linkedin,2023-05-17T04:43:30.769Z,2023-05-17T04:43:31.314Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/aritro-roy-arko-6b2165141/,,,,,,,,,,,, -a6f21e7b-267b-478f-829e-8718bd2e05f4,beigy@sharif.edu,Hamid,Beigy,https://talenthub.vectorinstitute.ai/profiles/3419816/view_image/1655575776213.jpeg,Professor of computer engineering at Sharif University of Technology,"I received my PhD degree in Computer Engineering from Amirkabir University of Technology in 2004. Before that, I received BSc and MSc degrees both in Computer Engineering from Shiraz University in 1992 and 1995, respectively. I joind the department of computer engineering of Sharif university of technology at Sep. 2004. Now, I am a professor in the department of computer engineering at Sharif university of technology. -",+982166166624,,http://sharif.edu/~beigy,,https://www.linkedin.com/in/hamid-beigy-8982604b/,,False,False,,,,,,linkedin,2023-04-26T20:15:05.695Z,2023-04-26T20:17:01.057Z,True,True,Unaffiliated PhD Graduate/Candidate,Yes,Unsure,,Already Graduated,I want to be associated with a Vector Faculty for future research and visiting.,Mr.,https://www.linkedin.com/in/hamid-beigy-8982604b/,"Deep learning, Generative modeling, Machine learning, Natural language processing, Representation learning",Postgraduate Degree (PhD),Senior Level (5+ Years),Machine learning and Deep Learning,"Education, Financial Services","Full Time, Co-op, Contract","Data Scientist, Machine Learning Researcher/Scientist ",Other,True,True,True,True -d20fcc79-ea33-42c1-849b-ed76116dc513,lilliam.norori01@gmail.com,Lilliam,Norori,https://talenthub.vectorinstitute.ai/profiles/3419247/view_image/1646971180365.jpeg,,,,,,,https://www.linkedin.com/in/lnorori/,,True,False,,,,,,linkedin,2023-04-26T14:19:22.492Z,2023-04-26T14:19:22.855Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/lnorori/,,,,,,,,,True,True,True,True -842e6e3b-bd8b-45c4-a11c-47c2281048e8,chadyang.hc@gmail.com,Chad,Yang,https://talenthub.vectorinstitute.ai/profiles/3020519/view_image/1572832270932.jpeg,"Ph.D Graduate @NTHU (EE) | Seeking AI/ML R&D Position | Speech, Health Informatics, IOT","I am a Ph.D. graduate from Dept. Electrical Engineering of the National Tsing Hua University (NTHU), Taiwan. I have 5+ years of experience studying affective computing using signal processing and machine learning. I co-led our lab's Health Informatics Group studying Dementia using MRI and Cardiovascular Diseases using ECG. Besides, I also lead two enterprise cooperation projects on speech processing and fake news retrieval. - -Professional Interests: -+ Affective Computing (Emotion/Personality) -+ Health Informatics -+ Computational Neuroscience - -In the past few years toward Ph.D, I have participated in the following fields: -+ Physiological Signals (ECG,EDA,EEG) -+ Speech Processing (Denoise / Dereverberation / Content classification) -+ Medical Images (sMRI/fMRI, Alzheimer Research) -+ Multi-Modal Behavioral Modeling (speech / face / pose / wearables) -+ Image / Video Retrieval -+ E-Commerce - -and skilled at: -+ Programming: Python, Matlab, Bash -+ Data Science: Numpy, Pandas, Matplotlib, Shapley Analysis -+ ML/DL: Scikit-Learn, Pytorch, Tensorflow, Keras -+ MLops: MLflow, W&B -+ DevOps: CI/CD, Git, Docker -+ Microservice Architect & Development: AWS, GCP -+ Frameworks: Graph Neural Network (GNN), Generative Adversarial Network (GAN), Transformer",+886968833251,,https://chadhgy.github.io/,,https://www.linkedin.com/in/chad-yang/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/842e6e3b-bd8b-45c4-a11c-47c2281048e8/resume,,,,Taiwan,linkedin,2022-09-27T01:19:29.850Z,2022-09-30T05:34:22.475Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,II'm from foreign country (Taiwan).,Dr.,https://www.linkedin.com/in/chad-yang/,"Deep learning, Graphical models, Healthcare and/or medical imaging",Postgraduate Degree (PhD),Entry Level (0-2 Years),Electrical Engineering,"Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development), Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True -dce2646e-5b52-407f-8f59-da569c587710,viethuy2108@gmail.com,Gia Viet Huy,Nguyen,https://talenthub.vectorinstitute.ai/profiles/3012982/view_image/1590531523334.jpeg,,,,,http://jhnthenewbie.com,,https://www.linkedin.com/in/huy-nguyen-04782414a/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/dce2646e-5b52-407f-8f59-da569c587710/resume,Toronto,Ontario,,Canada,linkedin,2022-09-21T18:57:29.003Z,2023-01-12T21:54:20.729Z,True,False,Recognized Masters Program,Yes,Unsure,Toronto Metropolitan University,Spring/Summer 2023 (April - July),Studied at Toronto Metropolitan University (Ryerson) and got connected to Vector,Mr.,https://www.linkedin.com/in/huy-nguyen-04782414a/,"Data science, Deep learning, Machine learning, Privacy, anonymity, and/or security",Graduate Degree (Masters),Entry Level (0-2 Years),Data Science and Analytic,"Financial Services, Professional Services (e.g Consulting), Retail, Technology (Information and Media), Technology (Product Development)","Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",Ryerson University,True,False,True,True -72619431-123e-4097-b8ac-29e908b7998d,kaileygurleen@gmail.com,Gurleen,Kaur,https://talenthub.vectorinstitute.ai/profiles/3520175/view_image/1635696310553.jpeg,,,,,,,https://www.linkedin.com/in/gurleen-kaur-743564100/,,True,False,,,,,,linkedin,2023-06-13T10:10:10.940Z,2023-06-13T10:10:11.346Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/gurleen-kaur-743564100/,,,,,,,,,True,True,True,True -c16146ab-1e0e-4108-91be-c9fa47ca42a9,lluyao.li@rotman.utoronto.ca,Luyao,Li,https://talenthub.vectorinstitute.ai/profiles/3010831/view_image/9C1D4C92-E8BC-458F-9F92-493EDE37DEF1.jpeg,Data Analyst,"Masters candidate possessing a passion for the data analytics field. Good at collecting, organizing, and analyzing data to provide valuable solutions to business problems.",6472992150,,,,https://www.linkedin.com/in/luyao-li,,False,False,https://canadaai.jobboard.io/api/v1/profiles/c16146ab-1e0e-4108-91be-c9fa47ca42a9/resume,Toronto,Ontario,,Canada,,2022-09-20T15:13:22.964Z,2022-09-21T20:11:21.680Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Ms.,http://linkedin.com/in/luyao-li,"Data science, Optimization, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),Management Analytics,"Financial Services, Retail, Telecommunications",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",University of Toronto,True,True,True,True -48e22ead-a5be-4fc1-a774-a07a42cabed9,jpzhou01@gmail.com,Jin,Zhou,https://talenthub.vectorinstitute.ai/profiles/2110693/view_image/us_visa.jpg,Computer Science PhD student at Cornell University,"I am a second-year CS PhD student at Cornell University interested in machine learning. I graduated with a Bachelor's degree from University of Toronto studying Engineering Science Machine Intelligence option. I did my undergraduate thesis on theorem induction at Vector Institute with Prof. Roger Grosse. In my PEY, I interned at Google as a software engineer and worked at Layer6 AI as a machine learning researcher on recommender system. I was also a visiting student at MIT in summer 2019 working on developing efficient machine learning algorithms for eye tracking on embedded devices. In prior summer, I worked on recommender systems at the Data-Driven Decision Making Lab at University of Toronto.",,,https://scholar.google.com/citations?user=Nf48jqcAAAAJ&hl=en&oi=sra,,https://www.linkedin.com/in/jinpeng-zhou/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/48e22ead-a5be-4fc1-a774-a07a42cabed9/resume,Toronto,Ontario,,Canada,,2020-10-23T13:10:35.171Z,2023-05-29T20:58:23.659Z,True,True,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Roger Grosse,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/jinpeng-zhou/,"Adversarial learning, Deep learning, Natural language processing, Recommender systems",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Engineering Science Machine Intelligence option,Type of Work is More Important to me than Sector,"Internship, Co-op","Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -d21a4700-5b0b-4aef-ab71-8e91dd82670a,devipriya.k.raju@gmail.com,Devipriya,Raju,https://talenthub.vectorinstitute.ai/profiles/3042671/view_image/1590673143567.jpeg,Computer Science Masters Student (Already holding a Masters degree in Data Science),,6049707916,,,,https://www.linkedin.com/in/devipriya-raju-2b400923/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/d21a4700-5b0b-4aef-ab71-8e91dd82670a/resume,,,,,linkedin,2022-10-12T13:19:19.749Z,2023-06-12T23:13:57.128Z,False,False,Vector Scholarship Nominee,Yes,Vector Scholarship Recipient,,Winter 2024 (December 2023 - March 2024),"I was a vector scholarship recipient this year. But due to unexpected circumstances, I couldn't choose the university from Ottawa. Hence, I had to cancel the scholarship.",Ms.,https://www.linkedin.com/in/devipriya-raju-2b400923/,"Bioinformatics, Computer vision, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),"I am a Masters graduate in Data Science. Now, I am pursuing my Masters in Computer Science, focusing on AI(Computer Vision and NLP).","Health, Professional Services (e.g Consulting), Software","Internship, Capstone Project","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",Other,True,True,True,True -fc1392f8-f872-4f5e-9af8-b09ae7590621,yuxi11@ualberta.ca,Yuxi,Chen,https://talenthub.vectorinstitute.ai/profiles/3433009/view_image/1609844587283.jpeg,,,5875905179,,,,https://www.linkedin.com/in/yuxichen7890,,True,False,,Waterloo,Ontario,,Canada,linkedin,2023-05-03T19:19:43.855Z,2023-05-03T19:19:44.197Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/yuxichen7890,"Computer vision, Data science, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Science and Artificial Intelligence,"Health, Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Waterloo,True,True,True,True -161653f2-b111-46bc-971d-3aea45e0d14d,erich.m.maclean@gmail.com,Erich,MacLean,https://talenthub.vectorinstitute.ai/profiles/3432811/view_image/1648789066961.jpeg,Technical Specialist and Experienced Supervisor,"Demonstrated proficiency 3D modelling, and programming with professional driving simulator systems as well as collaborating with inter-disciplinary teams. Completed my B.ENG in computer Engineering at the University of Guelph in 2023 and am now working towards my Masters degree. Programming skills include C, Java, JavaScript and Python, as well as Autodesk Inventor and other AutoCAD software such as Solidworks. Experienced technical specialist working with researchers from different disciplines, as well as a strong supervisor with demonstrated customer service strength, working in the retail industry.",5195023623,,https://www.erich-m.tech/,,https://www.linkedin.com/in/erich-maclean-575549193/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/161653f2-b111-46bc-971d-3aea45e0d14d/resume,Waterloo,Ontario,,Canada,linkedin,2023-05-03T17:31:11.328Z,2023-05-03T17:31:11.840Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Other/Undetermined,,Mr.,https://www.linkedin.com/in/erich-maclean-575549193/,"Computer vision, Machine learning, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),Graduated with a Bachelors of Computer Engineering from the University of Guelph (2023). Currently enrolled in a Masters of Science in Engineering with a Collaborative Specialization in AI,"Software, Technology (Product Development), Transportation","Full Time, Internship, Co-op, Contract, Capstone Project","Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Guelph,True,True,True,True -b101332c-837b-4147-a686-a106820015ff,mickell.als03@hotmail.co.uk,Mickell,Als,https://talenthub.vectorinstitute.ai/profiles/3363356/view_image/1675906989250.jpeg,,,,,,,https://www.linkedin.com/in/mickell-als/,,True,False,,,,,,linkedin,2023-03-30T16:06:35.278Z,2023-03-30T16:06:35.687Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/mickell-als/,,,,,,,,,True,True,True,True 65cc852f-71a6-4eb8-a166-b0c3081c4565,s_golizadeh@yahoo.com,Somayyeh,Gholizadeh,https://talenthub.vectorinstitute.ai/profiles/3443807/view_image/1576769403800.jpeg,Data Analyst - Data Scientist,"A graduated computer science PhD and a highly motivated data enthusiast with a strong passion for exploring data to generate meaningful insights for better decision making. A researcher who has conducted research studies from scratch; keen on learning to interpret, analyze, and visualize data; a team player with outstanding communication and presentation skills.",4167313146,,,,https://www.linkedin.com/in/somayyeh-gholizadeh-254b0672/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/65cc852f-71a6-4eb8-a166-b0c3081c4565/resume,Toronto,Ontario,,Canada,linkedin,2023-05-09T12:23:56.753Z,2023-05-18T14:56:02.878Z,True,True,Unaffiliated PhD Graduate/Candidate,Yes,Unsure,,Already Graduated,my supervisor/mentor asked me to use this platform,Ms.,https://www.linkedin.com/in/somayyeh-gholizadeh-254b0672/,"Computer vision, Data science, Deep learning, Healthcare and/or medical imaging, Machine learning, Privacy, anonymity, and/or security, Time-series forecasting and modelling",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science,,"Full Time, Internship, Co-op, Contract","Data Analyst, Data Scientist",Other,True,True,True,True ebf7d4fe-05db-431c-91ed-aa9b213ddfc2,m.abbasiazad@gmail.com,Mehdi,AzadGoleh,https://talenthub.vectorinstitute.ai/profiles/3257270/view_image/1568061798053.jpeg,,,6475627371,,,,https://www.linkedin.com/in/mazadgole/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/ebf7d4fe-05db-431c-91ed-aa9b213ddfc2/resume,Toronto,Ontario,,Canada,linkedin,2023-02-04T01:22:30.498Z,2023-02-04T01:48:14.547Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/mazadgole/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Systems Design Engineering,,"Full Time, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Waterloo,True,True,True,True 64f98025-9b65-4e58-9813-de9beaef0974,yuxuanliu1218@gmail.com,Yuxuan,Liu,https://talenthub.vectorinstitute.ai/profiles/3464296/view_image/1671988111077.jpeg,Experienced Data Scientist,"- Experienced in data science with rich projects focusing on data analysis and different fields in machine learning such as computer vision, natural language processing, etc. @@ -2240,77 +2201,109 @@ ebf7d4fe-05db-431c-91ed-aa9b213ddfc2,m.abbasiazad@gmail.com,Mehdi,AzadGoleh,http - Skilled in Python, R, SQL, CSS, HTML, SAS, Spark, TensorFlow",6137700747,,,,https://www.linkedin.com/in/yuxuan-liu-38442b250/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/64f98025-9b65-4e58-9813-de9beaef0974/resume,Waterloo,Ontario,,Canada,linkedin,2023-05-19T00:54:59.725Z,2023-05-19T00:55:00.122Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Ms.,https://www.linkedin.com/in/yuxuan-liu-38442b250/,"Data science, Deep learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Data Science and Artificial Intelligence,"Financial Services, Health, Manufacturing , Software, Technology (Information and Media), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Waterloo,True,False,True,True 7ea390c1-9e4a-4d80-9619-81897b61e2a3,yashmotwani0080@gmail.com,Yashraj,Motwani,https://talenthub.vectorinstitute.ai/profiles/3464442/view_image/1675062218387.jpeg,,,,,,,https://www.linkedin.com/in/yashraj-motwani-7767b5151/,,True,False,,,,,,linkedin,2023-05-19T04:04:48.103Z,2023-05-19T04:04:48.642Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/yashraj-motwani-7767b5151/,,,,,,,,,True,False,True,True 70a7a306-cfec-48a3-a2e4-6ada3900e602,declanfinerty@outlook.com,Declan,Finerty,https://talenthub.vectorinstitute.ai/profiles/3465716/view_image/1642192354136.jpeg,New Graduate,,2898341181,,,,https://www.linkedin.com/in/j-declan-finerty/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/70a7a306-cfec-48a3-a2e4-6ada3900e602/resume,Oakville,Ontario,,Canada,linkedin,2023-05-19T14:53:38.623Z,2023-05-19T14:53:39.076Z,False,True,Not Affiliated with Vector,No,Unsure,,Already Graduated,"I am looking for jobs on the careers board, no other affiliation,",Mr.,https://www.linkedin.com/in/j-declan-finerty/,"Deep learning, Machine learning, Optimization",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),"Engineering Physics, Sub-discipline: Computing","Education, Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Contract","Data Engineer, Machine Learning Engineer, Software Engineer",Queen's University,True,False,True,True -4b985d84-671b-40e0-8382-ff28e76ace0c,del.forghani@gmail.com,Delara,Forghani,https://talenthub.vectorinstitute.ai/profiles/3473849/view_image/1683484031834.jpeg,,,,,,,https://www.linkedin.com/in/delaraforghani/,,True,False,,,,,,linkedin,2023-05-23T19:45:08.063Z,2023-05-23T19:45:08.494Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/delaraforghani/,,,,,,,,,True,True,True,True -59463086-388a-443a-ba9f-0243134fdb4e,abdurrahman.mohd@gmail.com,Abdur Rahman,M. A. Basher,https://talenthub.vectorinstitute.ai/profiles/1862407/view_image/0.jpeg,Bioinformatics and Machine Learning Researcher,"Mr. Abdurrahman is a research associate at the Hallam lab where he addresses the problem of 𝗺𝗲𝘁𝗮𝗯𝗼𝗹𝗶𝗰 𝗽𝗮𝘁𝗵𝘄𝗮𝘆 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻 within and between cells from genomic sequence information using machine learning algorithms. At the same time, he investigates various challenges associated with learning from 𝗺𝘂𝗹𝘁𝗶-𝗹𝗮𝗯𝗲𝗹 data applied to bioinformatics. -Previously, he was a research associate at the British Columbia Cancer Agency's Genome Sciences Centre (BCGSC), where he worked in the field of natural language processing and discourse analysis from biomedical literature. -𝗠𝗿. 𝗔𝗯𝗱𝘂𝗿𝗿𝗮𝗵𝗺𝗮𝗻'𝘀 𝗹𝗼𝗻𝗴 𝘁𝗲𝗿𝗺 𝗮𝗴𝗲𝗻𝗱𝗮 𝗶𝘀 𝘁𝗼: i)- address various concerns about the multi-label classification and its application; ii)- pathway prediction from genomics, proteomics, and metabolomics data, and iii)- microorganisms interactions modeling. ",,,https://github.com/hallamlab,,https://www.linkedin.com/in/meitantei/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/59463086-388a-443a-ba9f-0243134fdb4e/resume,Vancouver,British Columbia,,Canada,linkedin,2020-07-08T05:45:16.338Z,2020-07-08T05:45:16.546Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,Through UBC,Mr.,https://www.linkedin.com/in/meitantei/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Bioinformatics and Machine Learning,"Health, Software, Technology (Information and Media), Technology (Product Development)",Full Time,,Other,True,True,True,True -15e44b37-afc4-473d-b60b-251b3b7a344f,sriramsubramanian1994@gmail.com,Sriram,Ganapathi Subramanian,https://talenthub.vectorinstitute.ai/profiles/1546446/view_image/passport_phto.jpg,PhD student and Research Assistant - University of Waterloo ,"I am currently a PhD student in the department of Electrical and Computer Engineering at the University of Waterloo, advised by professors Mark Crowley and Kate Larson. My primary research interest is in the area of multi-agent systems. I am interested in the issues of scale, non-stationarity, communication and sample complexity in multi-agent learning systems. As a consequence, my area of work is in the intersection of Reinforcement Learning and Game Theory. I am also highly interested in theoretical aspects of Reinforcement Learning. I have two important and related long term research goals. The first is to bridge the widening gap between the theoretical understanding and empirical advances of Multi-agent Reinforcement Learning. The second is to make multi-agent learning algorithms applicable to a variety of large-scale real-world problems. Before starting a PhD, I obtained a Master’s degree in the ECE department at the University of Waterloo, supervised by professor Mark Crowley. My bachelor's degree was in the field of Geomatics Engineering, from College of Engineering Guindy, Chennai, India. During this time I completed a Mitacs funded research internship in the Spatial lab, under the supervision of Professor Colin Robertson in Wilfrid Laurier University. I have also worked as a research intern at Borealis AI- Edmonton and Waterloo labs. In general, my research is motivated by the field of Computational Sustainability. ",+1 2269782945,,https://uwaterloo.ca/scholar/s2ganapa,,https://www.linkedin.com/in/sriram-ganapathi-subramanian-7518a9a2/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/15e44b37-afc4-473d-b60b-251b3b7a344f/resume,Waterloo,Ontario,,Canada,linkedin,2019-12-02T19:31:13.397Z,2022-01-24T16:45:01.165Z,False,False,Connected to Vector Research,Yes,Post Graduate Affiliate,Kate Larson,Already Graduated,,Mr.,https://www.linkedin.com/in/sriram-ganapathi-subramanian-7518a9a2/,"Game theory, Machine learning, Reinforcement learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),PhD,"Education, Financial Services, Health, Manufacturing , Retail, Software, Technology (Information and Media), Technology (Product Development), Transportation",Full Time,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Waterloo,True,True,True,True -699427d2-0c05-4a18-a129-38d93ddc8dca,awais.lakkhani@gmail.com,Awais,Lakhani,https://talenthub.vectorinstitute.ai/profiles/2641922/view_image/1525114373940.jpeg,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/699427d2-0c05-4a18-a129-38d93ddc8dca/resume,,,,,linkedin,2022-01-08T21:36:45.669Z,2022-01-08T21:36:46.115Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/awaislakhani/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Management Analytics,"Financial Services, Manufacturing , Technology (Product Development)","Full Time, Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist",Queen's University,True,False,True,True -7a21de62-b108-4f74-8557-8d3687103019,cjlemesurier@gmail.com,Carey,LeMesurier,https://talenthub.vectorinstitute.ai/profiles/2517427/view_image/carey.jpeg,MSc in Applied Computing Candidate,,4168193772,,https://careylemesurier.github.io/,,https://www.linkedin.com/in/carey-lemesurier-0b2432179/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/7a21de62-b108-4f74-8557-8d3687103019/resume,Toronto,Ontario,,Canada,,2021-09-20T20:16:32.190Z,2021-09-20T20:16:32.277Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,Ontario,Already Graduated,,Ms.,https://www.linkedin.com/in/carey-lemesurier-0b2432179/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),MSc in Applied Computing,"Financial Services, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,False,True,True -d6e14bae-47eb-457a-b1cc-109aab39dc70,stevefem3@yahoo.com,Stephen Femi,Ilori,https://talenthub.vectorinstitute.ai/profiles/1875774/view_image/0.jpeg,Experienced Banking Operations Manager & a Trained AI/Data/Financial Engineer,"Driven operations manager and AI/Data Science enthusiast with 12 years of experience in banking. An inspiring and conscientious leader, with a strong background in banking/financial services, team development, and a solid reputation for assessing business needs, developing cost-saving solutions, increasing sales and driving customer satisfaction using innovative methods. -",+2348062204699,,,,https://linkedin.com/in/stephen-femi-ilori-01104331/,iloristephen,True,False,https://canadaai.jobboard.io/api/v1/profiles/d6e14bae-47eb-457a-b1cc-109aab39dc70/resume,,,,,linkedin,2020-07-16T22:34:30.460Z,2020-07-16T22:34:30.637Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,International,Already Graduated,,Mr.,https://www.linkedin.com/in/stephen-femi-ilori-01104331/,,Graduate Degree (Masters),Senior Level (5+ Years),Financial Engineering,,"Full Time, Internship, Co-op",,Other,True,True,True,True -b9b4fe6b-6ca6-4d79-ae82-76391b46d39e,onur@ozbek.engineer,Onur,Özbek,https://talenthub.vectorinstitute.ai/profiles/1599863/view_image/onur-photo.jpeg,"Computer Science Student at University of London, Goldsmiths",,6478981453,,http://github.com/oo92,,http://www.linkedin.com/in/oo92,onurozbek92,True,False,https://canadaai.jobboard.io/api/v1/profiles/b9b4fe6b-6ca6-4d79-ae82-76391b46d39e/resume,Toronto,Ontario,,Canada,linkedin,2020-01-14T04:10:00.998Z,2021-09-17T05:49:58.604Z,False,False,Not Affiliated with Vector,No,Other/Unsure,N/A,Already Graduated,I'm not associated with the Vector Institute but I hope to be.,Mr.,http://www.linkedin.com/in/oo92,"Computer vision, Deep learning, Quantum computing",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Honors Bachelor of Science in Computer Science (specialism: Machine Learning and AI),"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,False,True,True -698e981b-cca0-4017-ba13-179f94c082ad,yiruhelen.wang@mail.utoronto.ca,Helen,Wang,https://talenthub.vectorinstitute.ai/profiles/2137113/view_image/linkedin.jpg,University of Toronto Scholar | Machine Learning and Computer Vision Enthusiast,,2898923956,,,,https://www.linkedin.com/in/yi-ru-helen-wang/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/698e981b-cca0-4017-ba13-179f94c082ad/resume,Toronto,Ontario,,Canada,,2020-11-20T01:06:05.753Z,2020-11-26T14:37:33.749Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Animesh Garg,Already Graduated,,Miss.,https://www.linkedin.com/in/yi-ru-helen-wang/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Engineering Science (Robotics),"Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Internship, Co-op",,University of Toronto,True,False,True,True -a9831e8d-83c0-4d47-bf64-ebaf2b4197f8,filip.miscevic@mail.utoronto.ca,Filip,Miscevic,https://talenthub.vectorinstitute.ai/profiles/1660662/view_image/0.jpeg,Experienced Neuroinformatics Researcher in the Higher Education Industry,"I am an experienced neuroinformatics researcher with 4+ years of experience in the higher education industry. Big picture person, excellent managerial/people skills. Seeking a role that values a research background in the context of software development/architecture. -PUBLISHED RESEARCH AREAS -- Cognitive modelling (NLP using machine learning) -- Communication in complex networks -- Clinical research",4168305057,,http://github.com/FilipMiscevic,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a9831e8d-83c0-4d47-bf64-ebaf2b4197f8/resume,Toronto,Ontario,,Canada,linkedin,2020-03-03T22:56:28.876Z,2020-03-03T22:56:29.084Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Other/Undetermined,,Mr.,https://www.linkedin.com/in/filip-miscevic-1874498b/,,Postgraduate Degree (PhD),,Cognitive Science and Informatics,Type of Work is More Important to me than Sector,"Full Time, Contract",,University of Toronto,True,True,True,True -d5abb7c9-bb20-4b49-a2dd-fbc35cb7c5fc,austin.solak@gmail.com,Austin,"Solak, BSc, MHI",https://talenthub.vectorinstitute.ai/profiles/2655804/view_image/1564586514238.jpeg,,,,,,,https://www.linkedin.com/in/austinsolak/,,True,False,,,Ontario,,Canada,linkedin,2022-01-19T21:23:25.504Z,2022-01-19T21:23:25.973Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/austinsolak/,"Healthcare and/or medical imaging, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Health Informatics,"Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't)",Full Time,"Business Analyst/Business Intelligence Analyst , Product/Project Manager",University of Toronto,True,True,True,True -42f76d62-79f6-49be-9576-3206025b9b53,herougo@gmail.com,Henri,Romel,https://talenthub.vectorinstitute.ai/profiles/2556129/view_image/IMG_5364_-_Chosen.JPG,Computer Vision AI Master's Student at the University of Toronto,,,,,,https://www.linkedin.com/in/henri-romel-491a47a7/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/42f76d62-79f6-49be-9576-3206025b9b53/resume,Brantford,Ontario,,Canada,,2021-10-22T02:58:08.945Z,2021-10-22T02:58:09.005Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Sanja Fidler,Already Graduated,,Mr.,https://www.linkedin.com/in/henri-romel-491a47a7/,"Computer vision, Deep learning, Transfer learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,Type of Work is More Important to me than Sector,"Full Time, Internship","Data Scientist, Machine Learning Engineer, Software Engineer",University of Toronto,True,True,True,True -36e1e894-680a-46aa-8bb3-cada43c558ed,softdev721@gmail.com,Chandrashekhar ,Singh,https://talenthub.vectorinstitute.ai/profiles/2627610/view_image/mypic.jpg,,,18073564076,,,,https://www.linkedin.com/in/chandrashekhar-singh-092217108/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/36e1e894-680a-46aa-8bb3-cada43c558ed/resume,Thunder Bay,Ontario,,Canada,,2021-12-26T19:23:25.424Z,2021-12-26T19:23:25.476Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/chandrashekhar-singh-092217108/,"AI safety, Bioinformatics, Computer vision, Data science, Deep learning, Fairness, Law, ethics and policy, Machine learning, Physics, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),MS in computer Science with Specialization in Airtificial Intelligence,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Contract, Capstone Project","Data Analyst, Data Engineer, Data Scientist, Machine Learning Researcher/Scientist , Software Engineer",Lakehead University,True,True,True,True -a313a5f9-0812-4d62-89b2-cdc7a7bc572e,swapnalikadam1612@gmail.com,Swapnali Vijay,Kadam,https://talenthub.vectorinstitute.ai/profiles/2661522/view_image/1594222779032.jpeg,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a313a5f9-0812-4d62-89b2-cdc7a7bc572e/resume,,,,,linkedin,2022-01-24T13:34:00.484Z,2022-01-24T13:34:00.904Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Ms.,https://www.linkedin.com/in/swapnali-kadam-765698141/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Masters in computer science,"Health, Software, Technology (Information and Media), Technology (Product Development)","Internship, Co-op","Business Analyst/Business Intelligence Analyst , Machine Learning Engineer, Software Engineer",Other,True,True,True,True -ab592103-dfd8-47c3-93da-5cab45618e7c,ialzyoud@ieee.org,Izzy,Al-Zyoud,https://talenthub.vectorinstitute.ai/profiles/1874158/view_image/0.jpeg,Experienced ML Researcher ,,8732881979,,,,,,True,False,,,Ontario,,Canada,linkedin,2020-07-16T01:37:43.502Z,2020-07-16T01:37:43.764Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,,Currently pursuing PhD at uOttawa in ML domain,Mr.,https://www.linkedin.com/in/izzy-al-zyoud-89058837/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Electrical Engineering,,"Full Time, Internship, Co-op, Contract, Capstone Project",,University of Ottawa,True,True,True,True -2970cf68-93eb-4ffd-94aa-b355123a3209,sara.el.shawa@mail.utoronto.ca,Sara,El-Shawa,https://talenthub.vectorinstitute.ai/profiles/2542499/view_image/1610212210291.jpeg,,,,,,,https://www.linkedin.com/in/saraelshawa/,,True,False,,,,,,linkedin,2021-10-11T13:52:40.868Z,2022-03-03T18:47:52.969Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,,https://www.linkedin.com/in/saraelshawa/,,Graduate Degree (Masters),,Master of Science/Master of Applied Science (collaborative specialization in AI),,,,University of Guelph,True,True,True,True -b86a3194-4961-4bfe-b921-46574cfcda8b,apmoshkina@outlook.com,Anastasia,Moshkina,https://talenthub.vectorinstitute.ai/profiles/2087405/view_image/0.jpeg,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b86a3194-4961-4bfe-b921-46574cfcda8b/resume,,,,,linkedin,2020-10-04T19:23:29.109Z,2020-10-04T19:23:29.582Z,False,False,Not Affiliated with Vector,No,Other/Unsure,no,Already Graduated,none,Ms.,https://www.linkedin.com/in/anastasia-moshkina/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Business and Law,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Product Development)",Full Time,,Other,True,True,True,True -23eee409-f371-4807-af01-67f324e42530,tejas.khare99@gmail.com,Tejas,Khare,https://talenthub.vectorinstitute.ai/profiles/2556228/view_image/1631740085762.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-10-22T05:07:48.026Z,2021-10-22T05:07:48.225Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/tejas99/,,,,,,,,,True,True,True,True -32aa0378-baf2-44af-9bea-6a5f2ac59beb,taneja_shashank@yahoo.com,Shashank,Taneja,https://talenthub.vectorinstitute.ai/profiles/1552444/view_image/Shashank-3.jpg,Master of Management Analytics candidate at Rotman School of Management | Data Science and Engineering Intern at HSBC| Business Analyst | Product Management,"I love to dig into problems and try to solve them with Data. My fascination and experience with data-driven problem-solving have motivated me to pursue Masters at Rotman School of Management. -My experience: Product Management, Business Analytics and Strategy -My skills: Big Data Analytics, Statistics, Effective communication, Strategy, Ideation and Teamwork. -Undergrad: Bachelor of Engineering, Chemical, Panjab University, Chandigarh, India. -Analytical tools in my toolbox: SQL | R programming | Python | Advanced Excel | SAS | Tableau",4379713465,,https://github.com/tanejashashank,,https://www.linkedin.com/in/Shashanktaneja,,True,False,https://canadaai.jobboard.io/api/v1/profiles/32aa0378-baf2-44af-9bea-6a5f2ac59beb/resume,Toronto,Ontario,,Canada,,2019-12-04T16:47:10.583Z,2020-04-05T03:51:23.033Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/Shashanktaneja,,Graduate Degree (Masters),,Master of Management Analytics,"Financial Services, Professional Services (e.g Consulting), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Contract",,University of Toronto,True,True,True,True -d84370d8-5895-42f3-9346-e472b066fd53,r.saha1997@gmail.com,Rohit,Saha,https://talenthub.vectorinstitute.ai/profiles/1550617/view_image/360DCA06-0A51-406A-85D8-A20A371FE603.jpeg,Experienced in applied Machine Learning,Rohit has both industrial and academic research experiences in applying ML algorithms for Computer Vision tasks. ,6475695975,,,,https://ca.linkedin.com/in/rohit-saha-ai,,True,False,,Toronto,Ontario,,Canada,,2019-12-03T15:50:40.488Z,2019-12-03T15:50:40.528Z,False,False,Vector Scholarship Recipient,Yes,Studying in/Graduated from a Recognized Master's Program,"Florian Shkurti (Academic supervisor, UofT)",Already Graduated,Vector Scholarship recipient 2019,Mr.,https://www.linkedin.com/in/rohit-saha-ai/,,Graduate Degree (Masters),Entry Level (0-2 Years),MSc in Applied Computing,"Financial Services, Health, Retail, Technology (Information and Media)",Full Time,,University of Toronto,True,True,True,True -4529d891-f339-4e64-8fe8-7d307983d630,jerrodparker20@gmail.com,Jerrod,Parker,https://talenthub.vectorinstitute.ai/profiles/1555153/view_image/0.jpeg,"MSc. Applied Computing, University of Toronto","Currently, I am a machine learning intern at Vanguard researching methods for weakly supervised Named Entity Recognition. I will be a graduate of the MSc. Applied Computing program at the University of Toronto in December and I am seeking full time employment starting January 2021. -",4038626392,,,,https://www.linkedin.com/in/jerrod-parker-a95201171/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4529d891-f339-4e64-8fe8-7d307983d630/resume,Toronto,Ontario,,Canada,linkedin,2019-12-06T18:33:16.183Z,2020-09-22T00:40:26.860Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/jerrod-parker-a95201171/,,Graduate Degree (Masters),Entry Level (0-2 Years),MSc. Applied Computing,"Financial Services, Health, Professional Services (e.g Consulting), Retail",Full Time,,University of Toronto,True,True,True,True -b5da41b8-073b-4d73-be27-b1e1b631448e,qima.med@gmail.com,Qi (Mary) ,Ma,https://talenthub.vectorinstitute.ai/profiles/1567680/view_image/IMG_5187.JPG,,,,,,,https://www.linkedin.com/in/mary-qi-ma-09996457/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b5da41b8-073b-4d73-be27-b1e1b631448e/resume,,,,,,2019-12-17T16:48:01.225Z,2019-12-17T16:48:01.263Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Ms.,https://www.linkedin.com/in/mary-qi-ma-09996457/,,,,Master of Health Informatics,Health,Full Time,,University of Toronto,True,True,True,True -35a7e892-5269-45da-92f3-3410c36f808c,sanghamesh.vastrad@gmail.com,Sanghamesh,S Vastrad,https://talenthub.vectorinstitute.ai/profiles/1556215/view_image/0.jpeg,"MSc in Applied Computing - Data Science, University of Toronto","Hi! I'm a Data Scientist and an Applied ML Researcher. As much as I love building unique, state-of-the-art, deep learning solutions, I also love the data science behind experimentation and visualization. -Experienced in all aspects of the Machine Learning workflow from feature engineering to model explainability, I'm currently a Machine Learning - Applied Research Intern at ICICI Bank working on credit underwriting models and fraud detection. I'm also an MSc. in Applied Computing candidate specializing in Data Science.",6475806884,,,,https://www.linkedin.com/in/sanghamesh-vastrad/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/35a7e892-5269-45da-92f3-3410c36f808c/resume,Toronto,Ontario,,Canada,linkedin,2019-12-08T06:22:31.366Z,2020-10-22T03:07:39.084Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/sanghamesh-vastrad/,,Graduate Degree (Masters),Entry Level (0-2 Years),M.Sc. in Applied Computing - Data Science,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,,University of Toronto,True,True,True,True -b02c84c2-8108-4730-abb9-39e5a4001bde,mary.elizabeth.osullivan2@gmail.com,Mary,O'Sullivan,https://talenthub.vectorinstitute.ai/profiles/1550768/view_image/0.jpeg,Experienced clinician with a passion for digital health,"I am an experienced registered nurse with a passion for digital health. As the lead clinical coordinator of a remote monitoring platform for heart failure patient, I am driven to leverage technology to reduce barriers for access to quality care. I am currently working on a Master of Health Informatics at U of T to further my skills to bridge the world of health care and technology. ",604-401-6816,,,,https://www.linkedin.com/in/mary-o-sullivan-92a338157/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b02c84c2-8108-4730-abb9-39e5a4001bde/resume,Toronto,Ontario,,Canada,linkedin,2019-12-03T17:14:27.027Z,2019-12-03T17:14:27.332Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mrs.,https://www.linkedin.com/in/mary-o-sullivan-92a338157/,,,,Master of Health Informatics,,Full Time,,University of Toronto,True,True,True,True -1d9d3588-d9a4-417a-8a98-b461d49887d7,iman.tabrizian@gmail.com,Iman,Tabrizian,https://talenthub.vectorinstitute.ai/profiles/1720073/view_image/0.jpeg,Graduate Research Assistant,,,,,,,ITabrizian,True,False,https://canadaai.jobboard.io/api/v1/profiles/1d9d3588-d9a4-417a-8a98-b461d49887d7/resume,,,,,linkedin,2020-04-15T22:41:16.842Z,2020-10-28T18:58:28.490Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Professor Daniel Roy,Already Graduated,,Mr.,https://www.linkedin.com/in/tabrizian/,,Graduate Degree (Masters),Entry Level (0-2 Years),Electrical and Computer Engineering,"Health, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship",,University of Toronto,True,True,True,True -9b2a1581-0dee-4eff-bc08-4075442f2487,jaamir@gmail.com,Jehanzeb,Arshad,https://talenthub.vectorinstitute.ai/profiles/1550957/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-03T19:04:37.028Z,2019-12-03T19:04:37.286Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/jehanzeb-arshad-35390540/,,,,Masters in Management Analytics,"Financial Services, Retail","Full Time, Contract, Capstone Project",,Queen's University,True,True,True,True -3a28a89c-e403-46eb-9262-0d633d3e231b,chiheb.tr@gmail.com,Chiheb,Trabelsi,https://talenthub.vectorinstitute.ai/profiles/2707177/view_image/1629297750666.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-02-26T19:19:52.239Z,2022-02-26T19:19:52.655Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/chiheb-trabelsi-697372a4/,,,,,,,,,True,True,True,True -f92fd655-17df-4cc5-8605-bda67dc38813,gtaluja@lakeheadu.ca,Gaurav,Taluja,https://talenthub.vectorinstitute.ai/profiles/1554436/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-06T03:15:18.737Z,2019-12-06T03:15:19.016Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/gaurav-taluja-1a7961191/,,,,,,,,,True,False,True,True -2f8a9856-8fcd-458f-88a8-775d6f2e93b1,k7645497@gmail.com,Kaiser,Alam,https://talenthub.vectorinstitute.ai/profiles/2699166/view_image/1552293688995.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-02-20T20:56:05.178Z,2022-02-20T20:56:05.602Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/kaiser-alam-4a16a2141/,,,,,,,,,True,True,True,True -4e0b814a-1201-4e31-a0fb-8596e97fff5d,shayanliaghat@gmail.com,Shayan,Liaghat,https://talenthub.vectorinstitute.ai/profiles/2186947/view_image/1589896611306.jpeg,Data Scientist,"I am a Data Scientist with +4 years’ experience in engineering, data analytics, modeling, and building end-to-end machine learning web applications.",2895275429,,https://shayanliaghat.github.io/,,https://www.linkedin.com/in/shayanliaghat/,Shayan_Liaghat,True,False,https://canadaai.jobboard.io/api/v1/profiles/4e0b814a-1201-4e31-a0fb-8596e97fff5d/resume,Hamilton,Ontario,,Canada,linkedin,2021-01-11T22:24:55.193Z,2021-01-11T22:24:55.413Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/shayanliaghat/,"Data science, Deep learning, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Applied Science,"Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op, Contract",,McMaster University,True,True,True,True -0ab969ae-8053-4fb9-9215-efb2b60c82f8,ruikevin.zhang@mail.utoronto.ca,RuiCheng,Zhang,https://talenthub.vectorinstitute.ai/profiles/1932218/view_image/_DSC2344-Edit-reduced.jpg,Master of Management Analytics (MMA) Candidate,"I am a Mechanical Engineering graduate specialized in Energy and Mechatronics Stream, currently pursuing a Master's degree in Management Analytics at Rotman School of Management. I worked at Ontario Power Generation Pickering Nuclear Plant as an intern. I have developed a strong interest in Data Analytics and Machine Learning through a data analyst role at De Haviland Aircraft of Canada. I aim to use the power of Machine Learning and data analytics to solve real-world business problems. ",6479858365,,http://kzproduction.com,,https://www.linkedin.com/in/ruikevinzhang/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0ab969ae-8053-4fb9-9215-efb2b60c82f8/resume,Toronto,Ontario,,Canada,,2020-08-13T19:41:02.292Z,2020-10-23T13:55:01.723Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,linkedin.com/in/ruikevinzhang,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,"Professional Services (e.g Consulting), Technology (Information and Media), Type of Work is More Important to me than Sector",Full Time,,University of Toronto,True,True,True,True -21958309-dc74-436c-a706-f591635e16b4,maddy.channen@me.com,Madeleine,Channen,https://talenthub.vectorinstitute.ai/profiles/1680146/view_image/0.jpeg,,"High-energy executive with experience building digital businesses, turning around companies, and evaluating acquisitions on the buy-side. Started out in start-ups, spent 5 years at McKinsey building digital businesses for large corporates, and most recently have been leading inorganic growth and turnaround efforts at Aimia.",6475017634,,,,https://www.linkedin.com/in/madeleine-channen-08a7bbb5/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/21958309-dc74-436c-a706-f591635e16b4/resume,Toronto,Ontario,,Canada,linkedin,2020-03-18T21:36:01.894Z,2020-03-18T21:36:02.130Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,Hoping to access Vector talent network,Miss.,https://www.linkedin.com/in/madeleine-channen-08a7bbb5/,,Undergraduate Degree (Bachelors),,BComm - Finance,"Financial Services, Professional Services (e.g Consulting), Retail, Software, Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Contract",,Other,True,True,True,True -3d975ccc-7e65-432c-8ec5-4831d6fb2aa5,amy.danter@queensu.ca,Amy,Danter,https://talenthub.vectorinstitute.ai/profiles/1932160/view_image/ProfilePic.jpeg,,,9053349519,,,,https://www.linkedin.com/in/amy-danter-98184a67,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3d975ccc-7e65-432c-8ec5-4831d6fb2aa5/resume,Toronto,Ontario,,Canada,,2020-08-13T19:40:19.515Z,2020-08-15T13:38:30.657Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Ms.,www.linkedin.com/in/amy-danter-98184a67,,Graduate Degree (Masters),Mid-Level (3-5 Years),Masters of Management Analytics (MMA),"Health, Professional Services (e.g Consulting), Retail",Full Time,,Queen's University,True,True,True,True -df3e361a-fd29-4458-8340-d16edabc5d6f,siwei.tang@mail.utoronto.ca,Siwei,Tang,https://talenthub.vectorinstitute.ai/profiles/1932189/view_image/linked_profile_pic.jpg,Master of Management Analytics Candidate,,6472705420,,,,https://linkedin.com/in/siwei-jax-tang,,True,False,,Toronto,Ontario,,Canada,,2020-08-13T19:40:43.580Z,2020-09-12T02:40:46.774Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/siwei-jax-tang-967b28127/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,"Financial Services, Retail, Technology (Product Development)","Full Time, Internship, Co-op, Contract",,University of Toronto,True,True,True,True -386af60f-02b6-42b6-9662-8a3e25a698f9,chandrakiran.kalahasthi@ontariotechu.net,Chandra kiran,Kalahasthi,https://talenthub.vectorinstitute.ai/profiles/1932130/view_image/1.jpg,Grad Student at Ontario Tech University,Pursuing Master's in Artificial Intelligence and IT Security,4379845321,,,,https://www.linkedin.com/in/chandrak96/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/386af60f-02b6-42b6-9662-8a3e25a698f9/resume,Toronto,Ontario,,Canada,,2020-08-13T19:40:01.661Z,2021-07-26T00:14:12.555Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/chandrak96/,"Anomaly detection, Data science, Deep learning, Healthcare and/or medical imaging, Machine learning, Privacy, anonymity, and/or security, Statistical learning theory, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Master's in Artificial intelligence and IT Security,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Full Time, Contract","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",OntarioTech University,True,True,True,True -2f402fb7-c38e-4fd1-aef1-657c3a45ff76,joseph.musa48@gmail.com,Joseph,Musa,https://talenthub.vectorinstitute.ai/profiles/1933321/view_image/0.jpeg,,"AI enthusiast, and love to develop new technologies.",,,http://www.jomusbusinessservices.com,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2f402fb7-c38e-4fd1-aef1-657c3a45ff76/resume,,,,,linkedin,2020-08-14T11:41:51.437Z,2020-08-14T11:41:51.650Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Fall 2022,,Mr.,N/A,,Graduate Degree (Masters),Entry Level (0-2 Years),Data Science,"Education, Financial Services, Professional Services (e.g Consulting)","Internship, Contract",,Other,True,True,True,True -539b6ad9-9c17-429f-adb0-135ea6b396c9,ghazalehdelfi@gmail.com,Ghazaleh,Delfi,https://talenthub.vectorinstitute.ai/profiles/1929763/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-08-12T18:47:00.289Z,2020-08-14T01:18:49.174Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/ghazalehdelfi/,,,,,,,,,True,True,True,True -103a292b-ad8b-4cab-abbe-5aedb19f362c,alexiatoumpa@gmail.com,Alexia,Toumpa,https://talenthub.vectorinstitute.ai/profiles/1931403/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-08-13T13:18:40.181Z,2020-08-13T15:14:15.154Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/alexiatoumpa/,,,,,,,,,True,False,True,True -0a230f67-7f2a-4b2a-a127-10c9e30bd4f1,sonichopra111@gmail.com,Sony,Paras,https://talenthub.vectorinstitute.ai/profiles/1935031/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-08-15T16:48:55.769Z,2020-08-15T16:48:55.935Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/sony-paras-2017/,,,,,,,,,True,True,True,True +d378dca8-2489-4181-8719-127048f215d4,nimahsnd@gmail.com,Nima,Hosseini Dashtbayaz,https://talenthub.vectorinstitute.ai/profiles/2992102/view_image/photooo.jpg,M.Sc. in Computer Science at Western University,,2265035097,,,,https://www.linkedin.com/in/nimahsn/,nimahsnd,False,False,https://canadaai.jobboard.io/api/v1/profiles/d378dca8-2489-4181-8719-127048f215d4/resume,London,Ontario,,Canada,,2022-09-08T04:50:50.274Z,2023-04-08T18:41:05.114Z,True,False,Recognized Masters Program,Yes,Vector Scholarship Recipient,Boyu Wang,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/nimahsn/,"Computer vision, Deep learning, Transfer learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Manufacturing , Technology (Information and Media), Technology (Product Development), Transportation, Type of Work is More Important to me than Sector","Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Western University,True,True,True,True +356a74d4-ef32-4d33-a97b-c30e692d2de6,nafizishtiaque@gmail.com,Nafiz,Ishtiaque,https://talenthub.vectorinstitute.ai/profiles/3464288/view_image/1665381648021.jpeg,Theoretical Physicist,"I am working on integrability, string theory, and information theory. Looking for practical applications of mathematical research, especially in the field of machine learning and AI.",+33622801711,,https://scholar.google.com/citations?user=Y3U6_UsAAAAJ&hl=en,,https://www.linkedin.com/in/nafizishtiaque/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/356a74d4-ef32-4d33-a97b-c30e692d2de6/resume,,Ontario,,Canada,linkedin,2023-05-19T00:37:18.280Z,2023-05-26T07:00:21.978Z,True,True,Unaffiliated PhD Graduate/Candidate,Yes,Unsure,,Already Graduated,Unsure if I can be considered associated. I graduated from the University of Waterloo but my degree is in Physics. I am also working on some problems in quantum computing with Prof. Roger Melko who is an affiliated faculty but we have not yet finished any project. Please disregard my profile if no association is deemed present.,Mr.,https://www.linkedin.com/in/nafizishtiaque/,"Deep learning, Quantum computing, Statistical learning theory",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Theoretical Physics,Type of Work is More Important to me than Sector,"Full Time, Contract","Data Scientist, Machine Learning Researcher/Scientist ",University of Waterloo,True,True,True,True +a3d3da7f-5bde-4756-8aaa-f1299b8f53e1,ankitajamdade25@gmail.com,Ankita,Jamdade,https://talenthub.vectorinstitute.ai/profiles/3046144/view_image/1588862709794.jpeg,Master of Data Science and Artificial Intelligence at the University of Waterloo,"A Computer Science enthusiast looking forward to a plethora of opportunities to expand my horizons, because sky is the limit! +Work experience - Software Developer at Citicorp Services (Citibank, India) for 3 years +Interests - Software Engineering, Artificial Intelligence, Machine Learning, Computer Vision",+1 (548)-333-8858,,,,https://www.linkedin.com/in/ankitajamdade/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/a3d3da7f-5bde-4756-8aaa-f1299b8f53e1/resume,Waterloo,Ontario,,Canada,linkedin,2022-10-14T14:57:11.009Z,2023-05-25T22:55:26.311Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Ms.,https://www.linkedin.com/in/ankitajamdade/,"Data science, Machine learning, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Data Science and Artificial Intelligence,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development)","Internship, Co-op","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Waterloo,True,True,True,True +94188531-ffb5-47f7-a474-9d7509a67fac,christopher.richings@lundinmining.com,Christopher,Richings,https://talenthub.vectorinstitute.ai/profiles/3478425/view_image/1684944381701.jpeg,,,,,,,https://www.linkedin.com/in/christopher-richings-63a84b108/,,True,False,,,,,,linkedin,2023-05-25T16:36:03.387Z,2023-05-25T16:36:03.864Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/christopher-richings-63a84b108/,,,,,,,,,True,False,True,True +359d2c1e-7649-4fa4-8f3f-eff7b2f68334,evoleoxu@gmail.com,Leo Xiaolu,"Xu, FRM, MFin",https://talenthub.vectorinstitute.ai/profiles/3478494/view_image/1684260858552.jpeg,,,,,,,https://www.linkedin.com/in/leo-xiaolu-xu-frm-mfin-02b4b259/,,True,False,,,,,,linkedin,2023-05-25T17:08:37.458Z,2023-05-25T17:08:37.973Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/leo-xiaolu-xu-frm-mfin-02b4b259/,,,,,,,,,True,True,True,True +127d36b7-4cfe-4380-86ac-a20b3757af90,kevinioi@outlook.com,Kevin,Ioi,https://talenthub.vectorinstitute.ai/profiles/1800332/view_image/0.jpeg,Research Assistant | MSc Data Science & Analytics,"A highly competent technologist with a demonstrated ability to solve real world problems through data driven analysis. I have experience developing machine learning based applications, creating analytic dashboards and manipulating large data sets. +I recently completed a research contract with Ryerson's Data Science Lab where I participated in several collaborative projects with industry partners including Unilever and IBM-CAS ",,,http://github.com/kevinioi,,https://linkedin.com/in/kevinioi,ioi_kevin,True,False,https://canadaai.jobboard.io/api/v1/profiles/127d36b7-4cfe-4380-86ac-a20b3757af90/resume,Vancouver,British Columbia,,Canada,linkedin,2020-05-22T16:51:56.384Z,2021-01-21T20:05:37.198Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/kevin-ioi-158826a9/,,Graduate Degree (Masters),Entry Level (0-2 Years),Data Science and Analytics,"Financial Services, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Contract",,Ryerson University,True,False,True,True +23d6c46a-291f-43f5-b01f-456bbfbd2992,panesarj123@gmail.com,Jaspal,Panesar,https://talenthub.vectorinstitute.ai/profiles/1863286/view_image/0.jpeg,Data Scientist - Machine Learning & A.I.,Analytics professional with over 4 years of industry experience in driving data related insights.,4165284911,,,,https://www.linkedin.com/in/jaspal-p-92311349/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/23d6c46a-291f-43f5-b01f-456bbfbd2992/resume,Toronto,Ontario,,Canada,linkedin,2020-07-08T16:29:03.581Z,2020-07-08T20:53:43.826Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/jaspal-p-92311349/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management Analytics,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,,Queen's University,True,True,True,True +eb1f7097-0edf-46a9-9c75-7425aef97a22,abdullah.caliskan27@gmail.com,Abdullah,Çalışkan,https://talenthub.vectorinstitute.ai/profiles/1879342/view_image/0.jpeg,,,05057938570,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/eb1f7097-0edf-46a9-9c75-7425aef97a22/resume,,,,,linkedin,2020-07-19T18:08:32.970Z,2020-07-19T18:08:33.175Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,glassdor,Dr.,https://www.linkedin.com/in/abdullah-%C3%A7al%C4%B1%C5%9Fkan-596b21156/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Artificial intelligence,"Health, Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,,Other,True,False,True,True +ad172694-aefa-4dcb-a155-087ce1cce837,rifaimazen@gmail.com,Mazen,"Al Rifai, MSc,PMP",https://talenthub.vectorinstitute.ai/profiles/1863271/view_image/0.jpeg,,,4372302248,,https://github.com/mazenr91,,https://www.linkedin.com/in/mazenalrifai/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ad172694-aefa-4dcb-a155-087ce1cce837/resume,Toronto,Ontario,,Canada,linkedin,2020-07-08T16:17:30.893Z,2021-04-07T15:55:35.159Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/mazenalrifai/,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Management Analytics,"Construction or Infrastructure, Financial Services, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract",,Queen's University,True,True,True,True +e399dd8d-f90f-493f-8991-919dc115001b,yoshiki.shoji@mail.utoronto.ca,Yoshiki,Shoji,https://talenthub.vectorinstitute.ai/profiles/1841337/view_image/0.jpeg,Artificial Intelligence graduate researcher ,"I foster a passion in trying understand how to utilize mathematical computation, biology and artificial intelligence to develop, manipulate and understand data.",(647)-609-9858,,https://github.com/yoshiki1996,,https://www.linkedin.com/in/yoshiki-shoji-238306127/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e399dd8d-f90f-493f-8991-919dc115001b/resume,Toronto,Ontario,,Canada,linkedin,2020-06-23T15:01:22.990Z,2020-08-12T18:11:43.674Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/yoshiki-shoji-238306127/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Artificial Intelligence/ Computational Biology/ Machine Learning,"Education, Software, Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,,University of Toronto,True,True,True,True +feb8ba21-fd1d-4c61-bc07-374acf37b767,leilygoli100@gmail.com,Leili,Goli,https://talenthub.vectorinstitute.ai/profiles/2556143/view_image/tm-easy-profile.jpg,"Ph.D. Student in Computer Science, University of Toronto","I am currently in the first year of my Ph.D. program in Department of Computer Science at University of Toronto. My research interests include Deep Learning, Machine Learning, and Reinforcement learning, with applications in Computer Vision and Robotics. My goal is to introduce innovative approaches based on mathematical reasoning that solve practical problems in computer perception and motion.",+1 4379844617,,https://lilygoli.github.io/,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/feb8ba21-fd1d-4c61-bc07-374acf37b767/resume,Toronto,Ontario,,Canada,,2021-10-22T03:35:06.095Z,2021-10-22T03:35:06.185Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Animesh Garg,Other/Undetermined,,Ms.,https://www.linkedin.com/in/lily-goli-a904459a/,"Computer vision, Deep learning, Reinforcement learning",Postgraduate Degree (PhD),Entry Level (0-2 Years),Ph.D. (Direct Entry) in Computer Science,"Education, Software, Technology (Information and Media)",Internship,"Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +6f44a5d4-c621-4b74-9298-8bc6bf6f82fd,salmanarif_86@yahoo.co.uk,Salman,Arif,https://talenthub.vectorinstitute.ai/profiles/1864525/view_image/0.jpeg,AI Product Manager,"Salman is a Product Manager at Borealis AI and leads the implementation of Artificial intelligence and Machine Learning projects across a wide range of use cases in Capital Markets. Salman holds a B Eng. (Hons) in Electrical and Electronic Engineering from the University of Nottingham, an MSc. in Financial Mathematics from the University of Leeds and Masters of Management in Artificial Intelligence from Queen’s University. Salman’s areas of interest are Reinforcement learning, Deep Learning, Online Learning, Natural Language Processing and Time series analysis",,,,,https://www.linkedin.com/in/salman-arif-80b12518/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6f44a5d4-c621-4b74-9298-8bc6bf6f82fd/resume,,,,,linkedin,2020-07-09T12:15:30.979Z,2020-07-09T12:15:31.191Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/salman-arif-80b12518/,,Graduate Degree (Masters),Senior Level (5+ Years),Masters of Management in Artificial Intelligence,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)",Full Time,,Queen's University,True,True,True,True +9903ea21-c10f-4e2f-935b-ba713d0cbde2,ishuescorpiao92@gmail.com,Ishaan,Goel,https://talenthub.vectorinstitute.ai/profiles/1818452/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-06-09T16:14:02.894Z,2020-06-09T16:14:03.189Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/ishaangoel/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master's of Business Analytics,"Financial Services, Health, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract",,York University,True,True,True,True +63ec7170-bd02-48f8-9a36-6f4768a07ac6,simrankaur1611@yahoo.com,Simran,Kaur,https://talenthub.vectorinstitute.ai/profiles/1675292/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-03-14T22:32:05.323Z,2020-03-14T22:32:05.534Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/simrankaur1611/,,,,,,,,,True,True,True,True +33a88615-83ee-411c-87e6-a1e90f63a684,anmolsinghalpkl@gmail.com,Anmol,Singhal,https://talenthub.vectorinstitute.ai/profiles/1830768/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-06-15T19:49:13.595Z,2020-06-15T19:49:13.846Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/anmolsinghal/,,,,,,,,,True,True,True,True +6e2c60bb-fefb-4604-8279-698c8641a163,moaraj.hasan@gmail.com,Moaraj,Hasan,https://talenthub.vectorinstitute.ai/profiles/2173991/view_image/1578722227600.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-12-29T15:21:04.146Z,2020-12-29T15:21:04.332Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/moaraj/,,,,,,,,,True,False,True,True +2572cff9-a5ec-4a36-90cf-06fac8a5de24,safiia1999@yahoo.com,Safiia,Mohammed,https://talenthub.vectorinstitute.ai/profiles/1857485/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-07-04T18:41:09.275Z,2020-07-04T18:41:09.488Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/safiiamohammed/,,,,,,,,,True,True,True,True 607eca55-db69-418d-beeb-e68459ed0679,samujjwal86@gmail.com,Samujjwal,Ghosh,https://talenthub.vectorinstitute.ai/profiles/1898372/view_image/0.jpeg,PhD student in Machine Learning and NLP,,+91 9595085116,,https://sites.google.com/view/samujjwal/,,https://www.linkedin.com/in/samujjwal/,Samujjwal_Sam,True,False,https://canadaai.jobboard.io/api/v1/profiles/607eca55-db69-418d-beeb-e68459ed0679/resume,,,,,linkedin,2020-07-31T08:41:10.546Z,2020-08-07T14:26:30.170Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,Not associated,Mr.,https://www.linkedin.com/in/samujjwal/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),PhD in Machine Learning,Type of Work is More Important to me than Sector,"Internship, Capstone Project",,Other,True,True,True,True +cae759b9-0aeb-413e-ae75-6fb2caf7eec3,jasroop1304@gmail.com,Jasroop,Singh,https://talenthub.vectorinstitute.ai/profiles/2547867/view_image/1607329107938.jpeg,Data Science Practioner ,,+917982615785,,,,https://www.linkedin.com/in/jasroopsinghchadha,,True,False,https://canadaai.jobboard.io/api/v1/profiles/cae759b9-0aeb-413e-ae75-6fb2caf7eec3/resume,,,,,linkedin,2021-10-15T12:58:35.376Z,2021-10-15T12:58:35.547Z,False,False,Not Affiliated with Vector,No,Other/Unsure,Delhi,Already Graduated,I am an aspiring masters student who is about to complete undergrad.,Mr.,N/A,"Computer vision, Data science, Deep learning, Machine learning, Natural language processing",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),B.tech Computer science and engineering,"Education, Health, Technology (Product Development)","Full Time, Internship","Data Scientist, Machine Learning Researcher/Scientist ",Other,True,True,True,True 8ec76bdc-fd96-4cf0-b46c-406a196f6e11,ian.benlolo@uottawa.ca,Ian,Benlolo,https://talenthub.vectorinstitute.ai/profiles/2515961/view_image/IMG_8677_2.jpg,,"Interested in financial markets, good coffee and most things machine learning.",5145834446,,,,https://www.linkedin.com/in/ian-benlolo/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8ec76bdc-fd96-4cf0-b46c-406a196f6e11/resume,Montreal,Quebec,,Canada,,2021-09-19T20:17:56.118Z,2022-02-15T23:09:07.430Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Isaac Tamblyn,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/ian-benlolo/,"Adversarial learning, Data science, Deep learning",Graduate Degree (Masters),Entry Level (0-2 Years),Statistical Physics,"Financial Services, Technology (Information and Media)",Internship,"Data Analyst, Data Scientist, Machine Learning Researcher/Scientist ",University of Ottawa,True,False,True,True a5e3a245-b7ad-414d-a8eb-40bc6be6e97e,wendyjingyijiang@gmail.com,Wendy,Jiang,https://talenthub.vectorinstitute.ai/profiles/2504458/view_image/mmexport1620231689815.jpg,Experienced registered nurse seeking Health Informatics Opportunities ,,,,,,https://www.linkedin.com/in/wendy-jingyi-jiang,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a5e3a245-b7ad-414d-a8eb-40bc6be6e97e/resume,,,,,,2021-09-10T17:42:47.580Z,2021-09-11T17:24:40.850Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,IHPME,Winter 2023 (December 2022 - March 2023),,Ms.,https://www.linkedin.com/in/wendy-jingyi-jiang/,"AI safety, Healthcare and/or medical imaging, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of health informatics,"Education, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development)","Internship, Co-op, Contract","Data Analyst, Data Architect, Product/Project Manager",University of Toronto,True,True,True,True -4b1af3d8-aca7-46de-80b2-685aae5fa27b,liuaichenplanet@gmail.com,Aichen ,Liu,https://talenthub.vectorinstitute.ai/profiles/2512752/view_image/beauty_1599701577389.JPG,,,6475690210,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4b1af3d8-aca7-46de-80b2-685aae5fa27b/resume,Toronto,Ontario,,Canada,,2021-09-17T00:27:09.052Z,2021-09-17T00:27:09.085Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Miss.,https://www.linkedin.com/in/aichen-liu-71210415b/,"Data science, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),Statistics Financial Modelling,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't)","Full Time, Internship","Data Analyst, Data Architect, Data Scientist, Product/Project Manager",Western University,True,True,True,True -51d6abdd-ab16-4f14-8588-c9ff53063a1d,sburney2@uwo.ca,Sheraza,Burney,https://talenthub.vectorinstitute.ai/profiles/2524031/view_image/1608587585307.jpeg,,,,,,,https://www.linkedin.com/in/s-burney/,,True,False,,Calgary,Alberta,,Canada,linkedin,2021-09-25T23:01:18.572Z,2021-09-25T23:01:18.754Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/s-burney/,"Data science, Healthcare and/or medical imaging, Neuroscience",Graduate Degree (Masters),Entry Level (0-2 Years),Health Information Science,Health,"Full Time, Contract",Data Analyst,Western University,True,False,True,True -cae759b9-0aeb-413e-ae75-6fb2caf7eec3,jasroop1304@gmail.com,Jasroop,Singh,https://talenthub.vectorinstitute.ai/profiles/2547867/view_image/1607329107938.jpeg,Data Science Practioner ,,+917982615785,,,,https://www.linkedin.com/in/jasroopsinghchadha,,True,False,https://canadaai.jobboard.io/api/v1/profiles/cae759b9-0aeb-413e-ae75-6fb2caf7eec3/resume,,,,,linkedin,2021-10-15T12:58:35.376Z,2021-10-15T12:58:35.547Z,False,False,Not Affiliated with Vector,No,Other/Unsure,Delhi,Already Graduated,I am an aspiring masters student who is about to complete undergrad.,Mr.,N/A,"Computer vision, Data science, Deep learning, Machine learning, Natural language processing",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),B.tech Computer science and engineering,"Education, Health, Technology (Product Development)","Full Time, Internship","Data Scientist, Machine Learning Researcher/Scientist ",Other,True,True,True,True +e4aae27b-bc39-4b9b-ab79-0d20be7c143a,karime.pereida@gmail.com,Karime,Pereida,https://talenthub.vectorinstitute.ai/profiles/1810111/view_image/IMG_2618.JPG,Postoctoral Fellow,"I am a postdoctoral fellow looking for exciting job opportunities. +I received a Ph.D. from the University of Toronto Institute for Aerospace Studies, advised by Prof. Angela Schoellig. My Ph.D research focused on robotics, control and learning-enhanced controllers. +I am interested in applying my skills to exciting and challenging projects.",,,http://karimepereida.com/,,https://www.linkedin.com/in/karimepereida/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e4aae27b-bc39-4b9b-ab79-0d20be7c143a/resume,,,,Canada,,2020-06-01T21:05:01.446Z,2020-06-01T21:05:01.471Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Angela Schoellig,Already Graduated,,Dr.,https://www.linkedin.com/in/karimepereida/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),PhD in Aerospace Engineering (Robotics),"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,,University of Toronto,True,True,True,True +791402fa-f1f4-48a9-b85b-2be537880b17,vallisubasri@gmail.com,Vallijah,Subasri,https://talenthub.vectorinstitute.ai/profiles/2565560/view_image/headshot.png,,"II graduated with an Honours Bachelor of Science degree in Biomedical Science & Computer Science from Western University. I am currently pursuing a PhD in Medical Biophysics at the University of Toronto to further my interests at the intersection of machine learning and biomedical science. My current projects involve explaining clinical heterogeneity of childhood cancer by analyzing complex genomic data using machine learning algorithms. +",4165599911,,,,https://www.linkedin.com/in/vallisubasri/,,True,False,,Toronto,Ontario,,Canada,,2021-10-29T21:35:12.729Z,2021-11-07T05:50:12.133Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Anna Goldenberg,Winter 2023 (December 2022 - March 2023),,Ms.,https://www.linkedin.com/in/vallisubasri/,"Computational biology, Data science, Machine learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Medical Biophysics (Concentration on Machine Learning and Computational Biology),"Health, Software, Technology (Product Development)","Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",University of Toronto,True,True,True,True 66a80400-a896-4c35-a255-b5ac9d3f4cd7,me@oliverbenning.com,Oliver,Benning,https://talenthub.vectorinstitute.ai/profiles/2597363/view_image/1605203331684.jpeg,Developer and AI researcher,,6139860919,,https://oliverbenning.com,,https://www.linkedin.com/in/oliverbenning/,OliverBenning,True,False,https://canadaai.jobboard.io/api/v1/profiles/66a80400-a896-4c35-a255-b5ac9d3f4cd7/resume,Ottawa,Ontario,,Canada,linkedin,2021-11-26T20:36:17.884Z,2021-11-26T20:36:18.244Z,False,False,Recognized Masters Program,Yes,Vector Scholarship Recipient,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/oliverbenning/,"Computer vision, Reinforcement learning, Robotics",Graduate Degree (Masters),Senior Level (5+ Years),MSc in Computer Science concentration in artificial intelligence,"Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Ottawa,True,True,True,True 8899dd97-d43c-42fe-ba76-37fcc2a0e8ef,nishant.kumar1994x@gmail.com,Nishant,Kumar,https://talenthub.vectorinstitute.ai/profiles/2167491/view_image/1607535639168.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-12-19T14:22:08.857Z,2020-12-19T14:22:09.043Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,True,True,True -d9a22cc2-4f3d-4f67-a156-b2c2ceb0998f,wenqimac@gmail.com,Wenqi,Xu,https://talenthub.vectorinstitute.ai/profiles/2170583/view_image/1601929443176.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-12-24T03:20:53.556Z,2020-12-24T03:20:53.746Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/wenqixu/,,,,,,,,,,,, +4b1af3d8-aca7-46de-80b2-685aae5fa27b,liuaichenplanet@gmail.com,Aichen ,Liu,https://talenthub.vectorinstitute.ai/profiles/2512752/view_image/beauty_1599701577389.JPG,,,6475690210,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4b1af3d8-aca7-46de-80b2-685aae5fa27b/resume,Toronto,Ontario,,Canada,,2021-09-17T00:27:09.052Z,2021-09-17T00:27:09.085Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Miss.,https://www.linkedin.com/in/aichen-liu-71210415b/,"Data science, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),Statistics Financial Modelling,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't)","Full Time, Internship","Data Analyst, Data Architect, Data Scientist, Product/Project Manager",Western University,True,True,True,True +51d6abdd-ab16-4f14-8588-c9ff53063a1d,sburney2@uwo.ca,Sheraza,Burney,https://talenthub.vectorinstitute.ai/profiles/2524031/view_image/1608587585307.jpeg,,,,,,,https://www.linkedin.com/in/s-burney/,,True,False,,Calgary,Alberta,,Canada,linkedin,2021-09-25T23:01:18.572Z,2021-09-25T23:01:18.754Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/s-burney/,"Data science, Healthcare and/or medical imaging, Neuroscience",Graduate Degree (Masters),Entry Level (0-2 Years),Health Information Science,Health,"Full Time, Contract",Data Analyst,Western University,True,False,True,True 8039b889-7162-476f-acf1-f8ef23e4d9da,mohsen.rohani@gmail.com,Mohsen,Rohani,https://talenthub.vectorinstitute.ai/profiles/2122359/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-11-04T15:44:28.771Z,2020-11-04T15:44:28.980Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/mohsen-rohani-21a8965b/,,,,,,,,,True,True,True,True 346af7b6-a6a8-4e40-a296-6e5e343bfaaa,swethapillai@hotmail.co.uk,Swetha,Pillai,https://talenthub.vectorinstitute.ai/profiles/2146840/view_image/1595325937653.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-11-30T23:02:44.937Z,2020-11-30T23:02:45.143Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/swethapillai/,,,,,,,,,True,False,True,True -825b359d-9590-4546-b267-ea7d73773941,taylorjewell@outlook.com,John Taylor,Jewell,https://talenthub.vectorinstitute.ai/profiles/2411138/view_image/1617070881679.jpeg,MSc in Computer Science (AI) Candidate | Technical Student Leader at Vector Institute,,,,,,https://www.linkedin.com/in/john-taylor-jewell-b3716a127,,True,False,https://canadaai.jobboard.io/api/v1/profiles/825b359d-9590-4546-b267-ea7d73773941/resume,,,,,linkedin,2021-06-24T19:45:42.322Z,2021-10-18T14:41:19.782Z,False,False,Connected to Vector Research,Yes,Other/Unsure,Supervised by Faculty Affiliate Yalda Mohsenzadeh,Already Graduated,Technical Student Leader at Vector Institute in the Industry Computer Vision Project under Dr. Sedef Akinli Kocak,Mr.,https://www.linkedin.com/in/john-taylor-jewell-b3716a127,,Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,,"Full Time, Internship, Co-op, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Western University,True,True,True,True -3439bd90-21ee-49d3-983a-e5f9947b8b17,oladimeji@gmail.com,Yinka,Oladimeji,https://talenthub.vectorinstitute.ai/profiles/2470057/view_image/1525835655126.jpeg,,"A dynamic professional with diverse experience and broad based competence in Analytics, Business Development, Strategy Development, Performance Management, Business Intelligence, Business Analysis and Project Management.",6479153255,,,,https://www.linkedin.com/in/yinka-oladimeji/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3439bd90-21ee-49d3-983a-e5f9947b8b17/resume,Toronto,Ontario,,Canada,linkedin,2021-08-15T14:37:00.879Z,2021-08-22T05:15:11.363Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/yinka-oladimeji/,"Data science, Time-series forecasting and modelling, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Senior Level (5+ Years),Masters of Management Analytics,"Education, Financial Services, Manufacturing , Professional Services (e.g Consulting), Retail, Technology (Information and Media), Technology (Product Development), Transportation, Type of Work is More Important to me than Sector","Full Time, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Scientist",Queen's University,True,True,True,True +d9a22cc2-4f3d-4f67-a156-b2c2ceb0998f,wenqimac@gmail.com,Wenqi,Xu,https://talenthub.vectorinstitute.ai/profiles/2170583/view_image/1601929443176.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-12-24T03:20:53.556Z,2020-12-24T03:20:53.746Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/wenqixu/,,,,,,,,,,,, 80a9195f-9e78-4010-9ad8-c64f16481f35,tegan.jrm@gmail.com,Tegan,Maharaj,https://talenthub.vectorinstitute.ai/profiles/2399693/view_image/tm.jpg,Assistant Professor,"My goal in research is to contribute understanding and techniques to the growing science of responsible AI development, while usefully applying AI to high-impact ecological problems including climate change, epidemiology, and ecological impact assessments. My recent research has two themes (1) using deep models for policy analysis and risk mitigation, and (2) designing data or unit test environments to empirically evaluate learning behaviour or simulate deployment of an AI system. I am broadly interested in studying “what goes into” deep models - not only data, but the broader learning environment including task design/specification, loss function, and regularization; as well as the broader societal context of deployment including privacy considerations, trends and incentives, norms, and human biases. I'm concerned and passionate about AI ethics, safety, and the application of ML to environmental management, health, and social welfare.",,,,,,,True,False,,,,,,,2021-06-15T21:05:13.023Z,2021-06-15T21:05:13.051Z,False,False,Connected to Another AI Institute,Yes,Vector Faculty or Faculty Affiliate,,Already Graduated,,Mx.,https://www.linkedin.com/in/tegan-maharaj-a9a4a8b5/,"AI safety, Deep learning, Law, ethics and policy",Postgraduate Degree (PhD),Senior Level (5+ Years),PhD Information Engineering / Computer Science,"Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Type of Work is More Important to me than Sector",Contract,"Machine Learning Researcher/Scientist , Other ",Other,True,True,True,True 4ab85c44-8281-41b8-b802-3f23651ffdc2,zemiao.zhang@rotman.utoronto.ca,Zemiao,Zhang,https://talenthub.vectorinstitute.ai/profiles/2481195/view_image/239576093_579445076390655_8560227630950651640_n.jpg,MMA Candidate 2022,MMA Candidate 2022 at Rotman School of Management in University of Toronto,2368660525,,,,https://www.linkedin.com/in/zane-zhang/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4ab85c44-8281-41b8-b802-3f23651ffdc2/resume,Toronto,Ontario,,Canada,,2021-08-24T21:14:53.308Z,2021-08-24T21:23:37.280Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/zane-zhang/,"Data science, Deep learning, Machine learning, Recommender systems, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,"Financial Services, Software, Technology (Product Development)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Toronto,True,False,True,True +825b359d-9590-4546-b267-ea7d73773941,taylorjewell@outlook.com,John Taylor,Jewell,https://talenthub.vectorinstitute.ai/profiles/2411138/view_image/1617070881679.jpeg,MSc in Computer Science (AI) Candidate | Technical Student Leader at Vector Institute,,,,,,https://www.linkedin.com/in/john-taylor-jewell-b3716a127,,True,False,https://canadaai.jobboard.io/api/v1/profiles/825b359d-9590-4546-b267-ea7d73773941/resume,,,,,linkedin,2021-06-24T19:45:42.322Z,2021-10-18T14:41:19.782Z,False,False,Connected to Vector Research,Yes,Other/Unsure,Supervised by Faculty Affiliate Yalda Mohsenzadeh,Already Graduated,Technical Student Leader at Vector Institute in the Industry Computer Vision Project under Dr. Sedef Akinli Kocak,Mr.,https://www.linkedin.com/in/john-taylor-jewell-b3716a127,,Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,,"Full Time, Internship, Co-op, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Western University,True,True,True,True +3439bd90-21ee-49d3-983a-e5f9947b8b17,oladimeji@gmail.com,Yinka,Oladimeji,https://talenthub.vectorinstitute.ai/profiles/2470057/view_image/1525835655126.jpeg,,"A dynamic professional with diverse experience and broad based competence in Analytics, Business Development, Strategy Development, Performance Management, Business Intelligence, Business Analysis and Project Management.",6479153255,,,,https://www.linkedin.com/in/yinka-oladimeji/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3439bd90-21ee-49d3-983a-e5f9947b8b17/resume,Toronto,Ontario,,Canada,linkedin,2021-08-15T14:37:00.879Z,2021-08-22T05:15:11.363Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/yinka-oladimeji/,"Data science, Time-series forecasting and modelling, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Senior Level (5+ Years),Masters of Management Analytics,"Education, Financial Services, Manufacturing , Professional Services (e.g Consulting), Retail, Technology (Information and Media), Technology (Product Development), Transportation, Type of Work is More Important to me than Sector","Full Time, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Scientist",Queen's University,True,True,True,True cb1802d0-c98c-4280-82c0-e19edfe64e08,betancourt.serest@gmail.com,Sergio E.,Betancourt,https://talenthub.vectorinstitute.ai/profiles/2408019/view_image/1538581783847.jpeg,,,,,http://sergiosonline.github.io,,https://www.linkedin.com/in/sergio-e-betancourt,sergiosonline,True,False,,Toronto,Ontario,,Canada,linkedin,2021-06-22T19:57:44.923Z,2021-06-25T18:56:57.636Z,False,False,Connected to Another AI Institute,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/sergio-e-betancourt/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Statistical Sciences,,Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",University of Toronto,True,False,True,True -8f045022-a255-404e-908a-7bf068137eab,dixitapatel41257@gmail.com,Dixita,Patel,https://talenthub.vectorinstitute.ai/profiles/2337287/view_image/1557442739999.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-04-28T21:37:46.696Z,2021-04-28T21:37:46.872Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/dixitapatel412/,,,,,,,,,True,False,True,True +c16ab8b8-a754-4e0b-b881-aa4574702f17,rramraj08@gmail.com,Ramraj,Rajakumar,https://talenthub.vectorinstitute.ai/profiles/2360242/view_image/1598398281441.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-05-17T00:06:20.726Z,2021-05-17T00:06:20.922Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/ramraj-rajakumar-94319259/,,,,,,,,,True,True,True,True fcee3072-05db-4958-8ef0-2719c49e29ef,dezfuli@ualberta.ca,Sina,Dezfuli,https://talenthub.vectorinstitute.ai/profiles/2376312/view_image/1575345177129.jpeg,,,7808077182,,https://github.com/ssinad,,https://www.linkedin.com/in/ssinad,,True,False,,,,,,linkedin,2021-05-28T14:01:15.189Z,2021-08-04T02:48:02.636Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/ssinad/,"Data science, Machine learning, Reinforcement learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,,Full Time,"Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,True,True,True -447768a5-dffe-4237-8eb4-efc476584463,ting.kay.lan@gmail.com,Ting,Lan,https://talenthub.vectorinstitute.ai/profiles/2493784/view_image/1600183072531.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-09-02T00:18:09.752Z,2021-09-23T15:39:52.880Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/ting-lan-25b18087/,,,,,,,,,True,False,True,True +a37afcde-9ba0-433a-b316-36ffd02f246a,tailormaulik1912@gmail.com,Maulik,Tailor,https://talenthub.vectorinstitute.ai/profiles/1691055/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-03-27T03:32:45.749Z,2020-03-27T03:32:46.148Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/mauliktailor/,,,,,,,,,True,True,True,True +28eabffa-8a32-4f12-b9ab-97a1e427f4c8,anshushukla63@gmail.com,Anuja,Shukla,https://talenthub.vectorinstitute.ai/profiles/1801251/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-05-23T15:47:47.084Z,2020-05-23T15:47:47.338Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/anuja-shukla/,,,,,,,,,True,False,True,True +c7c504f0-77a5-4414-bd38-e4b233a6320c,dorsa.hosseini@gmail.com,Dorsa,Hosseini,https://talenthub.vectorinstitute.ai/profiles/1717825/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-04-13T22:14:46.270Z,2020-04-13T22:14:46.511Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/dorsahosseini/,,,,,,,,,True,True,True,True +8f045022-a255-404e-908a-7bf068137eab,dixitapatel41257@gmail.com,Dixita,Patel,https://talenthub.vectorinstitute.ai/profiles/2337287/view_image/1557442739999.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-04-28T21:37:46.696Z,2021-04-28T21:37:46.872Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/dixitapatel412/,,,,,,,,,True,False,True,True +702ed3ba-b2ba-45a1-92ac-7b1b70773fb0,harry4011@gmail.com,Harry,Kim,https://talenthub.vectorinstitute.ai/profiles/1589001/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-07T20:29:12.837Z,2020-01-07T20:29:13.030Z,False,False,Not Affiliated with Vector,No,,,,,,Not Found,,,,,,,,,True,False,True,True +54623db0-f351-4aa1-b7b5-511822963781,sarah.kinley027@gmail.com,Sarah,Kinley,https://talenthub.vectorinstitute.ai/profiles/1932188/view_image/1601044991117.jpg,Masters of Health Informatics Student,,,,http://individual.utoronto.ca/1001sarahk/,,https://www.linkedin.com/in/sarah-kinley/,SarahKinley5,True,False,https://canadaai.jobboard.io/api/v1/profiles/54623db0-f351-4aa1-b7b5-511822963781/resume,Toronto,Ontario,,Canada,,2020-08-13T19:40:42.492Z,2021-02-26T17:16:09.913Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/sarah-kinley/,"Data science, Healthcare and/or medical imaging, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Health Informatics,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development)","Full Time, Internship",,University of Toronto,True,True,True,True +d6cff5dd-8960-408b-8c82-6c5c3ea571ae,shelley@cshellconsulting.com,Shelley,Lineham,https://talenthub.vectorinstitute.ai/profiles/1810993/view_image/0.jpeg,Executive Consultant,"I am a specialist in managing through transformative change. From mergers and acquisitions to integrations, consolidations and tech-based revolutions, I’ve been there, leading IT organizations through complex change. My ability to identify hidden value, unite stakeholders, and adapt to industry evolution helps organizations stay relevant and competitive no matter how emerging technologies reshape the ways we do business. +As a techie with a deep interest in people, I gain great satisfaction in leading teams and developing the partnerships necessary to seize growth opportunities and optimize ROI. +I’m an active mentor to many high-potential individuals and often speak professionally to teams about various topics like communicating your value in business terms and the changing role of the IT leader. +I am passionate about opportunities to leverage machine learning and artificial intelligence in the healthcare sector.",6475246405,,http://cshellconsulting.com,,https://www.linkedin.com/in/shelleylineham/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d6cff5dd-8960-408b-8c82-6c5c3ea571ae/resume,Toronto,Ontario,,Canada,linkedin,2020-06-02T15:32:52.926Z,2020-06-02T15:32:53.301Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/shelleylineham/,,Graduate Degree (Masters),Senior Level (5+ Years),MMAI,"Health, Professional Services (e.g Consulting), Technology (Product Development)","Full Time, Contract, Capstone Project",,Queen's University,True,True,True,True +2e0b2d13-e171-483e-992e-f104c33fbf70,h.nasrazadani@mail.utoronto.ca,Hossein,Nasrazadani,https://talenthub.vectorinstitute.ai/profiles/1884768/view_image/headshot.jpg,Data Scientist | Machine Learning,"Data scientist from University of Toronto, with 5+ years of experience in data analytics and programming. Experienced at creating predictive data modeling and machine learning algorithms to deliver insights and implement data-driven solutions to business problems.",6475458387,,http://github.com/hnasr1,,https://www.linkedin.com/in/nasrazadani/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2e0b2d13-e171-483e-992e-f104c33fbf70/resume,Toronto,Ontario,,Canada,,2020-07-23T01:01:24.492Z,2020-07-28T14:12:35.351Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/nasrazadani/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Civil Engineering,"Construction or Infrastructure, Financial Services, Professional Services (e.g Consulting), Retail, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract, Capstone Project",,University of Toronto,True,True,True,True +6a0b85ab-5fa0-45f9-9f1f-8e2acd67a825,adarshsaig@gmail.com,Adarsh,Sai Gupta,https://talenthub.vectorinstitute.ai/profiles/1903640/view_image/0.jpeg,Associate Software Engineer,,2263406180,,http://sai.murugana.myweb.cs.uwindsor.ca/,,https://linkedin.com/in/adarsh-sai-gupta36976aa/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6a0b85ab-5fa0-45f9-9f1f-8e2acd67a825/resume,Windsor,Ontario,,Canada,linkedin,2020-08-03T14:31:09.487Z,2020-08-03T14:31:09.677Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2021,,Mr.,https://www.linkedin.com/in/adarsh-sai-gupta-36976aa4/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Masters in Applied Computer Science,"Software, Technology (Information and Media), Technology (Product Development)","Internship, Co-op",,University of Windsor,True,True,True,True +43d1e8b0-e16b-445b-9071-e934cde6a881,emowusuahenkan@gmail.com,Emmanuel,Owusu Ahenkan,https://talenthub.vectorinstitute.ai/profiles/1867525/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-07-11T16:38:44.701Z,2020-07-11T16:38:44.856Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/emmanuel-owusu-ahenkan/,,,,,,,,,True,True,True,True +934b0e11-d7dd-4f1b-8e61-915416913ac7,varshilpatel1498@gmail.com,Varshil,Patel,https://talenthub.vectorinstitute.ai/profiles/1902439/view_image/0.jpeg,,,5199814171,,,,https://www.linkedin.com/in/varshil-patel/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/934b0e11-d7dd-4f1b-8e61-915416913ac7/resume,Windsor,Ontario,,Canada,linkedin,2020-08-02T21:29:41.284Z,2020-08-13T17:44:25.496Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,University of Windsor,Winter 2021,,Mr.,https://www.linkedin.com/in/varshil-patel/,,Graduate Degree (Masters),Entry Level (0-2 Years),Electrical and Computer Engineering,Software,Internship,,University of Windsor,True,False,True,True +0172c15e-0c43-4c8b-9cd2-624f02442e57,morteza.javid.7@gmail.com,S.Morteza,Javid,https://talenthub.vectorinstitute.ai/profiles/1893621/view_image/0.jpeg,,,6478247248,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0172c15e-0c43-4c8b-9cd2-624f02442e57/resume,Toronto,Ontario,,Canada,linkedin,2020-07-28T16:01:11.192Z,2020-09-05T02:09:42.377Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,,Mr.,https://www.linkedin.com/in/s-morteza-javid-a136a287/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Mechanical Engineering,"Construction or Infrastructure, Education, Health, Manufacturing , Software, Technology (Information and Media), Technology (Product Development)","Full Time, Contract",,University of Toronto,True,True,True,True +bdde5201-9118-44ad-a159-389c9e157ecd,jbernshine@gmail.com,Justine,Bernshine,https://talenthub.vectorinstitute.ai/profiles/1576189/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-29T00:16:42.760Z,2021-09-23T19:04:17.690Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/justine-bernshine/,,,,,,,,,True,True,True,True +20089b81-4e91-41ba-bc80-1accde782e4e,nafise.asghari@gmail.com,Nafis,Asghari,https://talenthub.vectorinstitute.ai/profiles/1811859/view_image/0.jpeg,Data Scientist,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/20089b81-4e91-41ba-bc80-1accde782e4e/resume,,,,,linkedin,2020-06-03T13:02:11.380Z,2020-06-03T13:02:11.755Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/nafisasghari/,,Graduate Degree (Masters),Mid-Level (3-5 Years),MMAI,"Retail, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract",,Queen's University,True,False,True,True +e35c93c5-d002-431e-bed7-d94d25c722da,eric_01@fandrich.net,Eric,Fandrich,https://talenthub.vectorinstitute.ai/profiles/2502127/view_image/1517658135547.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-09-09T00:02:35.489Z,2021-09-09T00:02:35.727Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/eric-fandrich-707a685/,,,,,,,,,True,True,True,True +429d835b-5d9d-4ad0-b9db-5332c9a6b3fc,robb.fournier@gmail.com,Robert,Fournier,https://talenthub.vectorinstitute.ai/profiles/2462732/view_image/1621293099304.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-08-08T20:21:58.699Z,2021-08-08T20:21:58.885Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/robbfournier/,,,,,,,,,True,True,True,True +5d08ee31-1f42-45bf-8905-2fbf3754b35e,nicolas.masse@gmail.com,Nicolas,Masse,https://talenthub.vectorinstitute.ai/profiles/1920876/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-08-10T00:48:52.211Z,2020-08-10T12:57:59.226Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/nicolas-masse-43806a1a/,,,,,,,,,True,True,True,True +05e53076-779a-46f9-93e3-05545dc4a757,brendanw.duke@gmail.com,Brendan,Duke,https://talenthub.vectorinstitute.ai/profiles/1604092/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-16T12:04:24.150Z,2020-01-16T12:04:24.605Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/brendan-duke-b3236095/,,,,,,,,,True,True,True,True +d09eee5a-dd9a-4d94-a5f7-8cfd2816d35a,mafaisal28@gmail.com,"Faisal,",Md. Abu,https://talenthub.vectorinstitute.ai/profiles/2117623/view_image/Faisal.jpg,Ph.D. Candidate at Queen's University | Prime Minister Gold Medalist | Ex. Project Manager & Framework Architect,"Love to work with different technologies and creative ideas, utilize their benefits to design improved, secure and reliable architectures that will enhance user experience as well as software and data security. +",613-770-3582,,,,https://www.linkedin.com/in/mafaisal28,mafaisal28,True,False,,Kingston,Ontario,,Canada,,2020-10-30T15:30:42.237Z,2020-11-02T20:28:37.342Z,False,False,Connected to Vector Research,Yes,Other/Unsure,,Already Graduated,I have received the invitation email from our Graduate Program Assistant.,Mr.,https://www.linkedin.com/in/mafaisal28,,Postgraduate Degree (PhD),Senior Level (5+ Years),School of Computing,"Health, Professional Services (e.g Consulting), Software, Technology (Product Development)","Full Time, Contract, Capstone Project",,Queen's University,True,True,True,True +9da5b229-44cc-49a3-af3e-6a12cfacfa21,daniel.gleason@outlook.com,Daniel,Gleason,https://talenthub.vectorinstitute.ai/profiles/2122333/view_image/0.jpeg,"Master's Student, Specialization in Artificial Intelligence, York University","I enjoy working on problems which are challenging and push me to grow. I am currently working on Autonomous parking as my industry research project for my MSc, using Reinforcement Learning. +I would love to work at a dynamic, growing company which gets me out of my comfort zone with interesting and impactful problems.",4163184058,,https://dgleaso.github.io/,,https://www.linkedin.com/in/daniel-gleason-069a1aa4/,,True,False,,Toronto,Ontario,,Canada,linkedin,2020-11-04T15:06:26.824Z,2021-04-01T13:59:41.501Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/daniel-gleason-069a1aa4/,,Graduate Degree (Masters),Entry Level (0-2 Years),"Master of Science, Computer Science, Specialization in Artificial Intelligence",Type of Work is More Important to me than Sector,Full Time,,York University,True,False,True,True +4a011fe2-c8c8-443c-8b72-b75db8c19730,naruki.yoshikawa@mail.utoronto.ca,Naruki,Yoshikawa,https://talenthub.vectorinstitute.ai/profiles/2122711/view_image/output.jpg,PhD Student,,,,https://www.cs.toronto.edu/~naruki/,,https://www.linkedin.com/in/naruki-yoshikawa-62bb661ba/,narukiyoshikawa,True,False,https://canadaai.jobboard.io/api/v1/profiles/4a011fe2-c8c8-443c-8b72-b75db8c19730/resume,,,,,linkedin,2020-11-05T00:49:58.269Z,2020-11-07T00:46:08.397Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Alan Aspuru-Guzik,Other/Undetermined,,Mr.,https://www.linkedin.com/in/naruki-yoshikawa-62bb661ba/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science,Software,Internship,,University of Toronto,True,False,True,True +0587d07e-4958-4131-9b7c-0cb26ad09f3a,a.sehati_de@icloud.com,Amin,Sehati,https://talenthub.vectorinstitute.ai/profiles/2123703/view_image/0.jpeg,Project Engineer,,+4916099218055,,,,https://www.linkedin.com/in/amin-sehati,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0587d07e-4958-4131-9b7c-0cb26ad09f3a/resume,,,,,linkedin,2020-11-05T21:30:59.668Z,2020-11-05T21:30:59.843Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,I would like to participate and extend my connections in Vector institute,Mr.,https://www.linkedin.com/in/amin-sehati,,Graduate Degree (Masters),Mid-Level (3-5 Years),Automotive Technology,"Software, Technology (Information and Media), Technology (Product Development)",Full Time,,Other,True,False,True,True +a6008aab-85a4-4f3d-94dd-389124ec5ff1,aseel.orbani@gmail.com,Aseel,AlOrbani,https://talenthub.vectorinstitute.ai/profiles/2115071/view_image/0.jpeg,Research Assistant,,2262369005,,,,https://www.linkedin.com/in/aseel-alorbani,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a6008aab-85a4-4f3d-94dd-389124ec5ff1/resume,London,Ontario,,Canada,linkedin,2020-10-28T10:27:31.784Z,2020-10-28T10:27:32.019Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/aseel-alorbani,,Graduate Degree (Masters),Entry Level (0-2 Years),Distributed Systems,"Software, Technology (Information and Media), Technology (Product Development)",Full Time,,Western University,True,False,True,True +e39fdb4d-1679-4821-a9d1-0be95c42ee86,rajkmaity@cs.umass.edu,Raj Kumar,Maity,https://talenthub.vectorinstitute.ai/profiles/1873985/view_image/0.jpeg,Final Year PhD student,,,,https://sites.google.com/view/rajkumarmaity/home,,https://www.linkedin.com/in/raj-kumar-maity-125b7467/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e39fdb4d-1679-4821-a9d1-0be95c42ee86/resume,,,,,linkedin,2020-07-15T21:17:07.289Z,2021-06-25T13:28:15.796Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,,Mr.,https://www.linkedin.com/in/raj-kumar-maity-125b7467/,,Postgraduate Degree (PhD),Entry Level (0-2 Years),Computer Science,Type of Work is More Important to me than Sector,"Full Time, Internship",,Other,True,False,True,True +11522c81-79a3-4688-86c3-f28a0ecfc930,willy.rempel@gmail.com,Willy,Rempel,https://talenthub.vectorinstitute.ai/profiles/1908028/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-08-05T13:37:45.489Z,2020-08-05T13:37:45.657Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/willy-rempel/,,,,,,,,,True,False,True,True +1eda3325-9b58-4f96-9470-c533fac88dce,sadiachow015@gmail.com,Sadia,Chowdhury,https://talenthub.vectorinstitute.ai/profiles/2110684/view_image/WhatsApp_Image_2020-06-08_at_14.00.43.jpeg,,,,,,,https://www.linkedin.com/in/sadia-chowdhury-320609142/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/1eda3325-9b58-4f96-9470-c533fac88dce/resume,,,,,,2020-10-23T13:10:34.058Z,2020-10-23T17:30:38.091Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Ruth Urner,Already Graduated,,Ms.,https://www.linkedin.com/in/sadia-chowdhury-320609142/,,Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Software, Technology (Information and Media), Technology (Product Development)",Full Time,,York University,True,True,True,True +1f9ccd29-bbee-4f31-99f7-57ff26a5d5b7,leihao1313@gmail.com,Hao,Lei,https://talenthub.vectorinstitute.ai/profiles/2117726/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-10-30T16:52:01.595Z,2020-10-30T16:52:01.806Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/hao-lei/,,,,,,,,,True,False,True,True +766299e1-c8ea-4ba3-8636-cace8f3aae11,michael.shlega@gmail.com,Michael,Shlega,https://talenthub.vectorinstitute.ai/profiles/2120702/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-11-03T03:36:14.782Z,2020-11-03T03:36:15.017Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/michaelshlega2020/,,,,,,,,,True,False,True,True +fbf45381-9526-4593-a6e7-7060c6648e51,maysam.orouskhani@szu.edu.cn,Maysam,Orouskhani,https://talenthub.vectorinstitute.ai/profiles/1927821/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-08-11T21:51:27.721Z,2020-08-11T21:51:27.916Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/maysam-orouskhani/,,,,,,,,,True,True,True,True +fa94dddd-fd35-479c-89eb-c5e6554c6786,abdullah.o.alomar@gmail.com,Abdullah,Al Omar,https://talenthub.vectorinstitute.ai/profiles/1874321/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-07-16T04:55:17.957Z,2020-07-16T04:55:18.159Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/abdullahalomar/,,,,,,,,,True,True,True,True +58b9f0ff-5082-4c90-9f42-51d5c94e273b,rashaadsader@gmail.com,Rashaad,Sader,https://talenthub.vectorinstitute.ai/profiles/2110734/view_image/Rashaad_Sader.jpg,Senior Executive / Consultant,"High-performance executive with broad and deep expertise across AI/ML frameworks, software development, construction management, strategy, business development and commercialization. Known as a “better generalist” with advanced abilities in strategy development, innovation, turning around distressed projects and teams, and finding solutions to the difficult problems others avoid. Six Sigma Black Belt.",403-667-6004,,,,https://www.linkedin.com/in/rashaad-sader-3709b15b/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/58b9f0ff-5082-4c90-9f42-51d5c94e273b/resume,Toronto,Ontario,,Canada,,2020-10-23T13:26:44.117Z,2020-12-14T22:16:24.776Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/rashaad-sader-3709b15b/,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Management in Artificial Intelligence,"Construction or Infrastructure, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Contract",,Queen's University,True,True,True,True +7b71b784-59ff-4140-9c39-16b2258efeba,sumitdargan246@gmail.com,Sumit,Dargan,https://talenthub.vectorinstitute.ai/profiles/2808548/view_image/ZS_ID_Card.PNG,Experienced Associate Consultant at ZS Associates,"Sumit is a motivated team player, who has ~3 years of work experience working in demand forecasting and Go-to-Market strategy development through Market research in the healthcare and banking space. He's someone who is an inquisitive learner, avid problem solver and works well with different team structures. I am currently looking for internship / co-op work opportunities in order to apply my learning on real-world problems and broaden my horizon by solving different sets of problems. ",+91-9870309389,,,,https://www.linkedin.com/in/sumit-dargan/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/7b71b784-59ff-4140-9c39-16b2258efeba/resume,Toronto,Ontario,,Canada,,2022-05-12T14:22:39.707Z,2022-05-21T11:15:35.818Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/sumit-dargan/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Masters in Management Analytics,"Education, Financial Services, Health, Professional Services (e.g Consulting), Technology (Information and Media)","Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Product/Project Manager, Other ",University of Toronto,True,True,True,True +38ab4cde-cc54-4f72-8aeb-e6e1234e63c7,m5valipo@uwaterloo.ca,Mojtaba,Valipour,https://talenthub.vectorinstitute.ai/profiles/2110696/view_image/image1.jpg,AI/ML Researcher/Engineer,,2267896726,,,,https://www.linkedin.com/in/mojtabavalipour/,ValipourMojtaba,True,False,https://canadaai.jobboard.io/api/v1/profiles/38ab4cde-cc54-4f72-8aeb-e6e1234e63c7/resume,Waterloo,Ontario,,Canada,,2020-10-23T13:10:35.408Z,2020-12-01T00:06:55.817Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Ali Ghodsi,Fall 2024 (August - November),,Mr.,https://www.linkedin.com/in/mojtabavalipour/,,Postgraduate Degree (PhD),Entry Level (0-2 Years),Computer Science - Internship,"Health, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Internship, Co-op, Contract, Capstone Project",,University of Waterloo,True,True,True,True +dc001ba1-3c8c-455c-be4d-e47ba126787d,olga.terekhova@gmail.com,Olga,Terekhova,https://talenthub.vectorinstitute.ai/profiles/2794031/view_image/1526005553001.jpeg,Business Data Analyst,,,,https://github.com/olga-terekhova,,https://www.linkedin.com/in/olga-terekhova/,,True,False,,,,,,linkedin,2022-05-02T21:12:21.960Z,2022-05-02T21:12:22.527Z,False,False,Connected to Vector Research,Yes,Other/Unsure,,Already Graduated,Mother's in ML Program,Ms.,https://www.linkedin.com/in/olga-terekhova/,"Data science, Interpretability, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Senior Level (5+ Years),Intelligent Information Systems,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Product/Project Manager",Other,True,True,True,True +d47a9763-7ffe-4671-8dd0-237f512f5c2f,akshay.shah9720@gmail.com,Akshay,Shah,https://talenthub.vectorinstitute.ai/profiles/1940708/view_image/0.jpeg,,,2267592292,,,,https://www.linkedin.com/in/akshay-s-558478a5/,,True,False,,Windsor,Ontario,,Canada,linkedin,2020-08-18T22:10:36.881Z,2020-08-18T22:10:37.057Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/akshay-s-558478a5/,,Graduate Degree (Masters),Entry Level (0-2 Years),MSc - Computer Science,"Education, Health, Software, Technology (Information and Media)",Full Time,,University of Windsor,True,True,True,True +12d97fb5-868b-4f70-9b87-1b6fb5a8e325,john.person1@gmail.com,John,Chen,https://talenthub.vectorinstitute.ai/profiles/1565108/view_image/0.jpeg,Graduate Student in Deep Learning,,,,http://johntiger1.github.io,,https://www.linkedin.com/in/johnn-chen/,uoftml,True,False,,,,,,linkedin,2019-12-16T02:30:22.683Z,2020-04-14T20:08:55.514Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Frank Rudzicz,Already Graduated,,Mr.,https://www.linkedin.com/in/johnn-chen/,,Graduate Degree (Masters),,1,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project",,University of Toronto,True,True,True,True +1ad65996-cc0d-460f-bc24-f40b26574922,jfruizmu@gmail.com,Jose Francisco,Ruiz-Muñoz,https://talenthub.vectorinstitute.ai/profiles/1841956/view_image/0.jpeg,Machine learning engineer,"Creative machine learning engineer with 10 + years of experience building, fine-tuning, deploying and monitoring machine learning models and data analysis pipelines for multiple applications including computer vision, audio processing, time series forecasting, and bioinformatics.",,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/1ad65996-cc0d-460f-bc24-f40b26574922/resume,,,,,linkedin,2020-06-24T03:15:55.649Z,2020-06-24T03:15:55.908Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,,Dr.,https://www.linkedin.com/in/jose-francisco-ruiz-munoz/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Computer engineering,"Education, Health, Technology (Information and Media)",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True +b5fe83ab-d8d9-4938-975c-242e1b1e377a,soha.heidari@gmail.com,Soha,Heidar-Damghani,https://talenthub.vectorinstitute.ai/profiles/1552174/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-04T14:27:49.693Z,2019-12-04T14:27:49.923Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Ms.,https://www.linkedin.com/in/soha-heidar-damghani-9190ba101/,,,,Masters of Management Analytics (MMA),"Financial Services, Retail","Full Time, Internship, Co-op, Contract",,University of Toronto,True,True,True,True +864ebca9-914a-464f-ad29-3dccf8ad57c9,janehuang673@gmail.com,Jane,Huang,https://talenthub.vectorinstitute.ai/profiles/2086199/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-10-03T07:20:44.217Z,2020-10-03T07:20:44.369Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/jane-huang98/,,,,,,,,,True,True,True,True +be3d589d-0227-4ec3-959a-da1523144b86,gahsilas@gmail.com,Silas,Gah,https://talenthub.vectorinstitute.ai/profiles/1865194/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-07-09T22:42:54.305Z,2020-07-09T22:42:54.584Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/silas-gah-14022453/,,,,,,,,,True,True,True,True +784c2814-d755-443c-98f1-55b4dfa878a7,karimsouidi@hotmail.com,Karim,"Souidi, CAP®, SDS™",https://talenthub.vectorinstitute.ai/profiles/2102127/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-10-15T01:22:51.848Z,2020-10-15T01:22:52.174Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/karim-souidi-cap%C2%AE-sds%E2%84%A2-82258023/,,,,,,,,,True,True,True,True +0584c54a-4a2b-445f-b4b1-c9da725c5d71,specialm@mcmaster.ca,Matthew,Speciale,https://talenthub.vectorinstitute.ai/profiles/2518816/view_image/1611362517420.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-09-21T19:38:51.576Z,2021-09-21T19:38:51.783Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/matthew-speciale-b981b5155/,,,,,,,,,True,True,True,True +37f0f6f3-845a-4f40-b78e-f8bf2f7caf10,sheenahora3107@gmail.com,Sheena,Hora,https://talenthub.vectorinstitute.ai/profiles/1956483/view_image/IMG_1037_A.jpg,,"Four years of industry experience as an IT Analyst with a Masters in Computer Science specialized in Artificial Intelligence. I am a dedicated, enthusiastic machine learning researcher. Currently looking for a role that will enable me to continue polishing my skills whilst being able to apply them in practice effectively. The most valuable skill set that I possess is the ability to learn quickly and implement it in my work.",+1-224-258-8287,,,,https://www.linkedin.com/in/sheena-hora-29966591/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/37f0f6f3-845a-4f40-b78e-f8bf2f7caf10/resume,Mississauga,Ontario,,Canada,,2020-08-28T15:00:52.730Z,2021-12-23T05:22:08.107Z,False,False,Vector Scholarship Recipient,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mrs.,https://www.linkedin.com/in/sheena-hora-29966591/,"Deep learning, Machine learning, Representation learning",Graduate Degree (Masters),Mid-Level (3-5 Years),MSc Computer Science (AI specialization),"Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Windsor,True,True,True,True +59d8ec63-7b67-4221-b119-f7d9e95499e5,dchau012@uottawa.ca,Daksh,Chaudhary,https://talenthub.vectorinstitute.ai/profiles/2960355/view_image/Daksh_phot_new__3_.jpeg,Graduate student at the University of Ottawa (MCS-AI) | Ex- Software Engineer at Persistent Systems,,,,,,https://www.linkedin.com/in/daksh-chaudhary/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/59d8ec63-7b67-4221-b119-f7d9e95499e5/resume,Ottawa,Ontario,,Canada,,2022-08-18T20:11:57.755Z,2022-08-31T06:58:15.822Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/daksh-chaudhary/,"Anomaly detection, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),"Master of Computer Science, Concentration in Applied Artificial Intelligence","Education, Financial Services, Health, Manufacturing , Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Internship, Co-op, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Ottawa,True,True,True,True +071472a8-c5c7-43f3-8934-2089ded1836f,nayan.saxena18@gmail.com,Nayan,Saxena,https://talenthub.vectorinstitute.ai/profiles/2120939/view_image/IMG_1718.jpeg,Machine Learning Researcher,"I am an undergraduate student studying Statistics, Computer Science and Mathematics at the University of Toronto. I am currently interning as a data scientist with the artificial intelligence team at Bell Canada under the supervision of Jean-Sebastien Labelle, and working on better understanding human function learning using Gaussian processes at the Computational Cognition Lab supervised by Prof. Daphna Buchsbaum (UofT/Brown University) and Prof. Chris Lucas (University of Edinburgh). I am also the teaching assistant this semester for a crosslisted graduate course STA302/1001: Methods of Data Analysis I. +I also have previous experience briefly running monte-carlo simulations on the Niagara supercomputer cluster and working on the development of an R package for a journal manuscript on clinical trials under the supervision of Prof. Jessica Gronsbell (UofT) and Zack McCaw (Google). I was also a Research Assistant at the Intelligent Adaptive Interventions Research Group, where I conducted research on Statistical Inference for Multi-Armed Bandit Algorithms (RL) supervised by Prof. Joseph Jay Williams, and have worked on leveraging data to analyse political, social, and economic impact on social distancing behaviour in the United States supported by the University of Toronto COVID-19 Student Engagement Grant. ",6479160875,,https://uoft.me/nayan,,https://www.linkedin.com/in/saxenanayan/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/071472a8-c5c7-43f3-8934-2089ded1836f/resume,Toronto,Ontario,,Canada,linkedin,2020-11-03T09:30:04.218Z,2021-12-14T18:14:46.354Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,,Already Graduated,Have worked on research papers with Vector faculty.,Mr.,https://www.linkedin.com/in/saxenanayan/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),"Statistics (Major), Computer Science & Mathematics (Minors)",Type of Work is More Important to me than Sector,"Full Time, Internship","Data Scientist, Machine Learning Researcher/Scientist , Other ",University of Toronto,True,True,True,True +76371664-e0db-4863-9c5f-40eb8d96fef7,tusharroy796@gmail.com,Tushar,Roy,https://talenthub.vectorinstitute.ai/profiles/2874542/view_image/35x45.jpg,,,,,,,,,True,False,,,,,,,2022-06-26T04:39:05.026Z,2022-09-23T18:42:35.243Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Spring/Summer 2024 (April - July),,Mr.,N/A,"Data science, Law, ethics and policy, Privacy, anonymity, and/or security",Graduate Degree (Masters),Entry Level (0-2 Years),Master’s in Information Technology Security (MITS),Telecommunications,Internship,Other ,OntarioTech University,True,True,True,True +c4844f8d-d05f-4275-8adb-97297e526417,danielsnider12@gmail.com,Daniel,Snider,https://talenthub.vectorinstitute.ai/profiles/2994442/view_image/FAV.jpg,Computer Science PhD Student,"I am a Computer Science MSc student at U of T, advised by Professor Gennady Pekhimenko. I am part of the Efficient Computing Systems Group within the Computer Systems & Networks Research Cluster. My research aim is to accelerate robotic and machine learning systems. + +My lifelong mission is to develop intelligent robots that can help solve underappreciated global issues such as labour shortages and the high prevalence of dull, dirty, and dangerous jobs. + +Before starting my PhD, I oversaw data centre infrastructure for clients such as PR Newswire, wrote award-winning computer vision software at the SickKids Research Institute, and published a book chapter about self-driving robotics in Springer’s Studies in Computational Intelligence. + +",6479095637,,https://danielsnider.ca/,,https://www.linkedin.com/in/danieljsnider/,,True,False,,Toronto,Ontario,,Canada,,2022-09-09T13:00:00.875Z,2022-09-11T21:17:14.142Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Gennady Pekhimenko,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/danieljsnider/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Science,,"Full Time, Internship, Co-op, Contract, Capstone Project","Data Architect, Data Engineer, Machine Learning Engineer, Software Engineer",University of Toronto,True,True,True,True 05a1f761-d63f-4a38-930b-aa4516bf1faf,jaswal116@gmail.com,Munish,Jaswal,https://talenthub.vectorinstitute.ai/profiles/2106915/view_image/0.jpeg,"PMP, Agile Masters Certified, Masters in Management of Artificial Intelligence 2021, Senior Technical Lead",,6473938459,,https://github.com/jaswal116/,,https://www.linkedin.com/in/munishjaswal,,True,False,https://canadaai.jobboard.io/api/v1/profiles/05a1f761-d63f-4a38-930b-aa4516bf1faf/resume,Toronto,Ontario,,Canada,linkedin,2020-10-20T03:53:16.090Z,2022-08-29T18:30:41.371Z,False,False,Recognized Masters Program,Yes,Student or Postdoc of a Vector Faculty Member,ON,Already Graduated,,Mr.,https://www.linkedin.com/in/munishjaswal/,"Bioinformatics, Healthcare and/or medical imaging",Graduate Degree (Masters),Senior Level (5+ Years),Master of Management in Artificial Intelligence,"Health, Software, Technology (Product Development)","Full Time, Internship, Contract",Product/Project Manager,Queen's University,True,False,True,True 5d6880b8-35ad-450c-8436-cf72214b28a4,umarhauwa67@gmail.com,Hauwa,Umar,https://talenthub.vectorinstitute.ai/profiles/2573574/view_image/1620639852187.jpeg,Graduate Student | Data Science Aspirant ,,,,,,,,True,False,,,,,,linkedin,2021-11-07T00:39:26.459Z,2022-11-01T19:47:36.520Z,False,False,Not Affiliated with Vector,No,Vector Scholarship Recipient,,Fall 2023 (August - November),,Ms.,https://www.linkedin.com/in/hauwa-umar-88a7b2160/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Science,,"Full Time, Internship, Co-op, Capstone Project","Data Scientist, Machine Learning Engineer",University of Guelph,True,True,True,True b60d069c-0ef8-4fb5-bf47-ae075b0a4b5d,agupta22@uoguelph.ca,Akshita,Gupta,https://talenthub.vectorinstitute.ai/profiles/3024083/view_image/akshita.jpg,,,6472965261,,http://akshitac8.github.io,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b60d069c-0ef8-4fb5-bf47-ae075b0a4b5d/resume,Toronto,Ontario,,Canada,,2022-09-29T06:10:16.924Z,2022-09-29T06:10:16.965Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Graham Taylor,Fall 2024 (August - November),,Ms.,N/A,"Computer vision, Deep learning, Transfer learning",Graduate Degree (Masters),Mid-Level (3-5 Years),MASc,"Education, Professional Services (e.g Consulting), Technology (Information and Media), Telecommunications, Type of Work is More Important to me than Sector",Internship,"Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",University of Guelph,True,True,True,True @@ -2513,72 +2506,63 @@ e8727aee-8103-4760-83a9-4e41ce063ac4,erzatb@gmail.com,Yerzat,"Marat, MEng, PMP", ed8df148-cebd-45e7-a302-e48cbed325c4,sharif.j.mansour@gmail.com,Sharif,Mansour,https://talenthub.vectorinstitute.ai/profiles/2185467/view_image/sharif.png,Solutions Architect,Solution Architect at Limelight Software focused on building great and reliable systems for financial users. On my spare time I focus on conducting research in artificial intelligence; specifically related to creating complex data distributions through machine learning models such as the creation of high resolution images. ,4168377407,,,,https://www.linkedin.com/in/sharif-mansour-346372114/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ed8df148-cebd-45e7-a302-e48cbed325c4/resume,Toronto,Ontario,,Canada,,2021-01-11T00:02:13.087Z,2021-01-23T17:50:57.559Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/sharif-mansour-346372114/,"Adversarial learning, Data science, Generative modeling, Machine learning, Representation learning, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Computer and Electrical Engineering (MEng) with AI Concentration,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)",Full Time,,Ryerson University,True,True,True,True 75267712-0550-4809-ad82-63025fc15d93,komal.mistry224@gmail.com,Komal,Mistry,https://talenthub.vectorinstitute.ai/profiles/2182885/view_image/1601808671720.jpeg,Data Scientist | Machine Learning Engineer | Data Analyst,"I am a machine learning engineer with a background in computational linguistics, natural language processing, business intelligence and electronics engineering. I specialize in deep learning and neural networks and am always excited about learning and exploring cutting edge AI tools and techniques like TensorFlow, Pytorch, Transformers, GPT etc. I love creating insight and impact using both my analytical and managerial skills, what I lack in experience I make up for with my diverse education and can do attitude to challenges.",2368651458,,https://mistrywoman.github.io/,,https://www.linkedin.com/in/komal-mistry-7893bb120/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/75267712-0550-4809-ad82-63025fc15d93/resume,,,,Canada,linkedin,2021-01-08T17:12:08.611Z,2021-01-23T07:29:22.653Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,University of British Columbia,Ms.,https://www.linkedin.com/in/komal-mistry-7893bb120/,"Data science, Deep learning, Machine learning, Natural language processing, Recommender systems, Representation learning, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),University of British Columbia - Masters of Data Science (Computational Linguistics),"Education, Financial Services, Health, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Contract",,Other,True,True,True,True 16198017-614b-4da9-9841-58631530d7b6,vieshpatel@gmail.com,Vishvesh,Kachhadia,https://talenthub.vectorinstitute.ai/profiles/1608233/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-19T16:09:32.131Z,2020-02-25T14:48:40.851Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/vishvesh-kachhadia-b862539b/,,,,,,,,,True,True,True,True -d5ff65c5-4799-4f13-b60c-b3d6705bfa32,jserrame@ryerson.ca,Aira,Serrame,https://talenthub.vectorinstitute.ai/profiles/2344252/view_image/headshot3.jpg,"Biomedical Sciences Recent Grad, Ryerson University",,,,https://github.com/jserrame,,https://www.linkedin.com/in/airaserrame/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d5ff65c5-4799-4f13-b60c-b3d6705bfa32/resume,Toronto,Ontario,,Canada,,2021-05-04T15:06:59.352Z,2021-05-04T18:05:38.686Z,False,False,Recognized Masters Program,Yes,,,Already Graduated,,Ms.,https://www.linkedin.com/in/airaserrame/,"Bioinformatics, Data science, Healthcare and/or medical imaging",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Biomedical Sciences,"Financial Services, Health, Public Administration (i.e Gov't), Retail, Transportation, Type of Work is More Important to me than Sector","Internship, Contract","Data Analyst, Other ",Ryerson University,True,True,True,True -87802668-dbe1-4d2a-b573-d787c3d91a64,vaikhari20@gmail.com,Sharvari,Dhote,https://talenthub.vectorinstitute.ai/profiles/2147687/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-12-01T16:39:06.340Z,2020-12-02T20:45:56.170Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/sharvaridhote/,,,,,,,,,True,True,True,True -a194f281-aeb9-4565-b923-0b7197a4f2fd,mayank31082@gmail.com,Mayank,Mudgal,https://talenthub.vectorinstitute.ai/profiles/2287275/view_image/1614695461222.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-03-25T16:07:06.335Z,2021-06-26T21:55:25.609Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/mmudgal/,,,,,,,,,True,True,True,True -5d6880b8-35ad-450c-8436-cf72214b28a4,umarhauwa67@gmail.com,Hauwa,Umar,https://talenthub.vectorinstitute.ai/profiles/2573574/view_image/1620639852187.jpeg,Graduate Student | Data Science Aspirant ,,,,,,,,True,False,,,,,,linkedin,2021-11-07T00:39:26.459Z,2022-11-01T19:47:36.520Z,False,False,Not Affiliated with Vector,No,Vector Scholarship Recipient,,Fall 2023 (August - November),,Ms.,https://www.linkedin.com/in/hauwa-umar-88a7b2160/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Science,,"Full Time, Internship, Co-op, Capstone Project","Data Scientist, Machine Learning Engineer",University of Guelph,True,True,True,True -37f0f6f3-845a-4f40-b78e-f8bf2f7caf10,sheenahora3107@gmail.com,Sheena,Hora,https://talenthub.vectorinstitute.ai/profiles/1956483/view_image/IMG_1037_A.jpg,,"Four years of industry experience as an IT Analyst with a Masters in Computer Science specialized in Artificial Intelligence. I am a dedicated, enthusiastic machine learning researcher. Currently looking for a role that will enable me to continue polishing my skills whilst being able to apply them in practice effectively. The most valuable skill set that I possess is the ability to learn quickly and implement it in my work.",+1-224-258-8287,,,,https://www.linkedin.com/in/sheena-hora-29966591/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/37f0f6f3-845a-4f40-b78e-f8bf2f7caf10/resume,Mississauga,Ontario,,Canada,,2020-08-28T15:00:52.730Z,2021-12-23T05:22:08.107Z,False,False,Vector Scholarship Recipient,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mrs.,https://www.linkedin.com/in/sheena-hora-29966591/,"Deep learning, Machine learning, Representation learning",Graduate Degree (Masters),Mid-Level (3-5 Years),MSc Computer Science (AI specialization),"Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Windsor,True,True,True,True -59d8ec63-7b67-4221-b119-f7d9e95499e5,dchau012@uottawa.ca,Daksh,Chaudhary,https://talenthub.vectorinstitute.ai/profiles/2960355/view_image/Daksh_phot_new__3_.jpeg,Graduate student at the University of Ottawa (MCS-AI) | Ex- Software Engineer at Persistent Systems,,,,,,https://www.linkedin.com/in/daksh-chaudhary/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/59d8ec63-7b67-4221-b119-f7d9e95499e5/resume,Ottawa,Ontario,,Canada,,2022-08-18T20:11:57.755Z,2022-08-31T06:58:15.822Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/daksh-chaudhary/,"Anomaly detection, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),"Master of Computer Science, Concentration in Applied Artificial Intelligence","Education, Financial Services, Health, Manufacturing , Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Internship, Co-op, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Ottawa,True,True,True,True -071472a8-c5c7-43f3-8934-2089ded1836f,nayan.saxena18@gmail.com,Nayan,Saxena,https://talenthub.vectorinstitute.ai/profiles/2120939/view_image/IMG_1718.jpeg,Machine Learning Researcher,"I am an undergraduate student studying Statistics, Computer Science and Mathematics at the University of Toronto. I am currently interning as a data scientist with the artificial intelligence team at Bell Canada under the supervision of Jean-Sebastien Labelle, and working on better understanding human function learning using Gaussian processes at the Computational Cognition Lab supervised by Prof. Daphna Buchsbaum (UofT/Brown University) and Prof. Chris Lucas (University of Edinburgh). I am also the teaching assistant this semester for a crosslisted graduate course STA302/1001: Methods of Data Analysis I. -I also have previous experience briefly running monte-carlo simulations on the Niagara supercomputer cluster and working on the development of an R package for a journal manuscript on clinical trials under the supervision of Prof. Jessica Gronsbell (UofT) and Zack McCaw (Google). I was also a Research Assistant at the Intelligent Adaptive Interventions Research Group, where I conducted research on Statistical Inference for Multi-Armed Bandit Algorithms (RL) supervised by Prof. Joseph Jay Williams, and have worked on leveraging data to analyse political, social, and economic impact on social distancing behaviour in the United States supported by the University of Toronto COVID-19 Student Engagement Grant. ",6479160875,,https://uoft.me/nayan,,https://www.linkedin.com/in/saxenanayan/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/071472a8-c5c7-43f3-8934-2089ded1836f/resume,Toronto,Ontario,,Canada,linkedin,2020-11-03T09:30:04.218Z,2021-12-14T18:14:46.354Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,,Already Graduated,Have worked on research papers with Vector faculty.,Mr.,https://www.linkedin.com/in/saxenanayan/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),"Statistics (Major), Computer Science & Mathematics (Minors)",Type of Work is More Important to me than Sector,"Full Time, Internship","Data Scientist, Machine Learning Researcher/Scientist , Other ",University of Toronto,True,True,True,True -c4844f8d-d05f-4275-8adb-97297e526417,danielsnider12@gmail.com,Daniel,Snider,https://talenthub.vectorinstitute.ai/profiles/2994442/view_image/FAV.jpg,Computer Science PhD Student,"I am a Computer Science MSc student at U of T, advised by Professor Gennady Pekhimenko. I am part of the Efficient Computing Systems Group within the Computer Systems & Networks Research Cluster. My research aim is to accelerate robotic and machine learning systems. - -My lifelong mission is to develop intelligent robots that can help solve underappreciated global issues such as labour shortages and the high prevalence of dull, dirty, and dangerous jobs. - -Before starting my PhD, I oversaw data centre infrastructure for clients such as PR Newswire, wrote award-winning computer vision software at the SickKids Research Institute, and published a book chapter about self-driving robotics in Springer’s Studies in Computational Intelligence. - -",6479095637,,https://danielsnider.ca/,,https://www.linkedin.com/in/danieljsnider/,,True,False,,Toronto,Ontario,,Canada,,2022-09-09T13:00:00.875Z,2022-09-11T21:17:14.142Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Gennady Pekhimenko,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/danieljsnider/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Science,,"Full Time, Internship, Co-op, Contract, Capstone Project","Data Architect, Data Engineer, Machine Learning Engineer, Software Engineer",University of Toronto,True,True,True,True -b60d069c-0ef8-4fb5-bf47-ae075b0a4b5d,agupta22@uoguelph.ca,Akshita,Gupta,https://talenthub.vectorinstitute.ai/profiles/3024083/view_image/akshita.jpg,,,6472965261,,http://akshitac8.github.io,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b60d069c-0ef8-4fb5-bf47-ae075b0a4b5d/resume,Toronto,Ontario,,Canada,,2022-09-29T06:10:16.924Z,2022-09-29T06:10:16.965Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Graham Taylor,Fall 2024 (August - November),,Ms.,N/A,"Computer vision, Deep learning, Transfer learning",Graduate Degree (Masters),Mid-Level (3-5 Years),MASc,"Education, Professional Services (e.g Consulting), Technology (Information and Media), Telecommunications, Type of Work is More Important to me than Sector",Internship,"Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",University of Guelph,True,True,True,True -76371664-e0db-4863-9c5f-40eb8d96fef7,tusharroy796@gmail.com,Tushar,Roy,https://talenthub.vectorinstitute.ai/profiles/2874542/view_image/35x45.jpg,,,,,,,,,True,False,,,,,,,2022-06-26T04:39:05.026Z,2022-09-23T18:42:35.243Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Spring/Summer 2024 (April - July),,Mr.,N/A,"Data science, Law, ethics and policy, Privacy, anonymity, and/or security",Graduate Degree (Masters),Entry Level (0-2 Years),Master’s in Information Technology Security (MITS),Telecommunications,Internship,Other ,OntarioTech University,True,True,True,True -db3ac1a0-aae9-46ab-a515-d6188200816a,sn.naseri77@gmail.com,Sanaz,Naseribonari,https://talenthub.vectorinstitute.ai/profiles/3493128/view_image/1667011428734.jpeg,,,4379700545,,,,https://www.linkedin.com/in/sanaz-naseribonari-902171142/,,False,False,,Toronto,Ontario,,Canada,linkedin,2023-06-01T17:38:46.141Z,2023-06-03T16:47:34.073Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2024 (April - July),,Ms.,https://www.linkedin.com/in/sanaz-naseribonari-902171142/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),MEng- electrical and computer engineering major: AI,Type of Work is More Important to me than Sector,"Internship, Co-op, Capstone Project","Data Scientist, Machine Learning Engineer",Ryerson University,True,True,True,True -875da165-5c76-49df-a334-527fddfc9298,wu.rupert@outlook.com,Robert,Wu,https://talenthub.vectorinstitute.ai/profiles/2504476/view_image/rupert-lilac-square.png,ML Researcher,,6479751178,,https://www.cs.toronto.edu/~rupert/,,https://www.linkedin.com/in/wu-robert/,rhubarbwu,False,False,https://canadaai.jobboard.io/api/v1/profiles/875da165-5c76-49df-a334-527fddfc9298/resume,Toronto,Ontario,,Canada,,2021-09-10T17:42:52.789Z,2023-05-09T09:58:56.184Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Vardan Papyan,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/wu-robert/,"Meta-learning, Natural language processing, Statistical learning theory",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Construction or Infrastructure, Health, Software, Technology (Information and Media), Telecommunications, Transportation","Full Time, Internship, Co-op, Contract, Capstone Project","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,False,True,True -1d90f1df-1397-4e6c-9eb2-7901ef9691c6,mohammadmahdiabdollahpoor@gmail.com,Mohammad Mahdi,Abdollah Pour,https://talenthub.vectorinstitute.ai/profiles/3019677/view_image/1642089445800.jpeg,Graduate Student at University of Toronto | ML | NLP,"I’m Mahdi, a graduate student at University of Toronto. I am working on Controllable Text Generation at D3M lab at UofT.",4168937863,,https://mahdiabdollahpour.github.io/,,https://www.linkedin.com/in/mohammad-mahdi-abdollah-pour-a48b008b/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/1d90f1df-1397-4e6c-9eb2-7901ef9691c6/resume,Toronto,Ontario,,Canada,linkedin,2022-09-26T13:35:35.689Z,2023-01-05T18:03:53.691Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Scott Sanner,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/mohammad-mahdi-abdollah-pour-a48b008b/,"Machine learning, Natural language processing, Self-supervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Masters,"Financial Services, Retail, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -43bd78c4-bddb-4d2b-89f2-f0f7ebdb9363,mina.mirjalili@mail.utoronto.ca,Mina,Mirjalili,https://talenthub.vectorinstitute.ai/profiles/2382488/view_image/1622516129915.jpeg,,,,,,,https://www.linkedin.com/in/mina-mir/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/43bd78c4-bddb-4d2b-89f2-f0f7ebdb9363/resume,Toronto,Ontario,,Canada,linkedin,2021-06-02T13:41:25.356Z,2022-09-23T14:00:36.648Z,False,False,Connected to Vector Research,Yes,Post Graduate Affiliate,,Fall 2022 (August - November),,Ms.,https://www.linkedin.com/in/mina-mir/,,Graduate Degree (Masters),Mid-Level (3-5 Years),PhD,"Financial Services, Health, Professional Services (e.g Consulting)",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -d2f1954e-3c85-4d2b-9fda-5789957f9189,adityaskulkarni23@gmail.com,Aditya,Kulkarni,https://talenthub.vectorinstitute.ai/profiles/3456147/view_image/1666220757892.jpeg,,,,,,,https://www.linkedin.com/in/aditya-s-kulkarni/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d2f1954e-3c85-4d2b-9fda-5789957f9189/resume,Toronto,Ontario,,Canada,linkedin,2023-05-15T13:03:35.595Z,2023-05-15T13:03:36.029Z,True,True,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2024 (April - July),,Mr.,https://www.linkedin.com/in/aditya-s-kulkarni/,"Data science, Machine learning, Optimization",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science,"Education, Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Product/Project Manager",University of Toronto,True,False,True,True -422b464f-ea56-425f-9200-3cad98e6d66b,rushilgoomer@gmail.com,Rushil,Goomer,https://talenthub.vectorinstitute.ai/profiles/3456601/view_image/1682491628020.jpeg,,,,,,,https://www.linkedin.com/in/rushilgoomer/,,True,False,,,,,,linkedin,2023-05-15T16:55:19.135Z,2023-05-15T16:55:19.518Z,True,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/rushilgoomer/,,,,,,,,,True,True,True,True -12e15947-6d93-495f-afbf-8d0cf82f333b,ali.hossam.seif@gmail.com,Ali,Seifeldin,https://talenthub.vectorinstitute.ai/profiles/3449798/view_image/1539364769345.jpeg,,,,,,,https://www.linkedin.com/in/bakalala/,,True,False,,,,,,linkedin,2023-05-12T03:17:24.624Z,2023-05-12T03:17:25.073Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/bakalala/,,,,,,,,,True,False,True,True -793edf45-4120-4ab0-b0bc-a2501a3bd1ec,pourreza.masoud@gmail.com,Masoud,Pourreza,https://talenthub.vectorinstitute.ai/profiles/2688050/view_image/1545818101038.jpeg,Computer Vision Researcher,"First and foremost, I love writing code. I have been obsessed with the idea of using AI to solve practical problems. AI and especially machine learning is a never-ending puzzle that I am passionately engaged in solving. I believe in the power of programming to transform and improve the lives of people around the world.",4379808334,,,,https://www.linkedin.com/in/masoud-pourreza-4b242452/,,True,False,,London,Ontario,,Canada,linkedin,2022-02-11T22:17:44.355Z,2023-04-20T20:57:42.241Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,My supervisor at Westen University is Profeessor Boyu Wang (A vector Faculty Affiliate),Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/masoud-pourreza-4b242452/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Software, Technology (Product Development)","Full Time, Internship","Machine Learning Engineer, Machine Learning Researcher/Scientist ",Western University,True,True,True,True -a2a3ffd5-091a-4d9b-bd71-340e7d76ae7a,romniaabadi1994@gmail.com,Romina,Abadi,https://talenthub.vectorinstitute.ai/profiles/3015876/view_image/2020-08-31_22.35.49.jpg,Research Assistant at York University,,6477106774,,,,https://www.linkedin.com/in/romina-abadi/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/a2a3ffd5-091a-4d9b-bd71-340e7d76ae7a/resume,Toronto,Ontario,,Canada,,2022-09-23T13:41:03.391Z,2023-02-16T02:43:50.902Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Ms.,https://www.linkedin.com/in/romina-abadi/,"Adversarial learning, Computer vision, Deep learning",Graduate Degree (Masters),Entry Level (0-2 Years),MSc in Computer Science,"Education, Health, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",York University,True,True,True,True -a3d3da7f-5bde-4756-8aaa-f1299b8f53e1,ankitajamdade25@gmail.com,Ankita,Jamdade,https://talenthub.vectorinstitute.ai/profiles/3046144/view_image/1588862709794.jpeg,Master of Data Science and Artificial Intelligence at the University of Waterloo,"A Computer Science enthusiast looking forward to a plethora of opportunities to expand my horizons, because sky is the limit! -Work experience - Software Developer at Citicorp Services (Citibank, India) for 3 years -Interests - Software Engineering, Artificial Intelligence, Machine Learning, Computer Vision",+1 (548)-333-8858,,,,https://www.linkedin.com/in/ankitajamdade/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/a3d3da7f-5bde-4756-8aaa-f1299b8f53e1/resume,Waterloo,Ontario,,Canada,linkedin,2022-10-14T14:57:11.009Z,2023-05-25T22:55:26.311Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Ms.,https://www.linkedin.com/in/ankitajamdade/,"Data science, Machine learning, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Data Science and Artificial Intelligence,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development)","Internship, Co-op","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Waterloo,True,True,True,True -94188531-ffb5-47f7-a474-9d7509a67fac,christopher.richings@lundinmining.com,Christopher,Richings,https://talenthub.vectorinstitute.ai/profiles/3478425/view_image/1684944381701.jpeg,,,,,,,https://www.linkedin.com/in/christopher-richings-63a84b108/,,True,False,,,,,,linkedin,2023-05-25T16:36:03.387Z,2023-05-25T16:36:03.864Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/christopher-richings-63a84b108/,,,,,,,,,True,False,True,True -359d2c1e-7649-4fa4-8f3f-eff7b2f68334,evoleoxu@gmail.com,Leo Xiaolu,"Xu, FRM, MFin",https://talenthub.vectorinstitute.ai/profiles/3478494/view_image/1684260858552.jpeg,,,,,,,https://www.linkedin.com/in/leo-xiaolu-xu-frm-mfin-02b4b259/,,True,False,,,,,,linkedin,2023-05-25T17:08:37.458Z,2023-05-25T17:08:37.973Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/leo-xiaolu-xu-frm-mfin-02b4b259/,,,,,,,,,True,True,True,True -e32f7ba6-8be6-4e16-9841-d8fd3783cd49,bt.asadi05@gmail.com,Behnam,Asadi,https://talenthub.vectorinstitute.ai/profiles/1966766/view_image/myphoto.png,,,4162006580,,,,https://www.linkedin.com/in/benasadi/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/e32f7ba6-8be6-4e16-9841-d8fd3783cd49/resume,Toronto,Ontario,,Canada,,2020-09-04T14:57:47.972Z,2023-05-29T19:54:25.728Z,True,True,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Hui Jiang,Already Graduated,,Mr.,https://www.linkedin.com/in/benasadi/,,Graduate Degree (Masters),Mid-Level (3-5 Years),M.Sc in Computer Science,Type of Work is More Important to me than Sector,"Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",York University,True,True,True,True -d3b687ea-e09f-4048-9c6b-9c56841390cd,m.mjn202@gmail.com,Marjan,Mohammadi,https://talenthub.vectorinstitute.ai/profiles/2874578/view_image/1651339474671.jpeg,I have a bachelor's degree in software engineering and have about 5 years of experience in Java coding. ,,14379745202,,,,https://www.linkedin.com/in/marjan-mohammadi-61a09468,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d3b687ea-e09f-4048-9c6b-9c56841390cd/resume,Toronto,Ontario,,Canada,linkedin,2022-06-26T05:46:15.322Z,2022-06-26T05:46:15.775Z,False,False,Not Affiliated with Vector,No,Other/Unsure,Ontario,Already Graduated,I am a newcomer in Canada and I am willing to get one of the internship programs with Vector institute,Mrs.,https://www.linkedin.com/in/marjan-mohammadi-61a09468,"Data science, Machine learning",Undergraduate Degree (Bachelors),Senior Level (5+ Years),Software engineering,"Health, Software, Telecommunications","Full Time, Internship, Co-op, Capstone Project","Data Analyst, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,False,True,True -bf182bb6-20e4-4fac-8b52-d62443fb99fd,sssk9797@gmail.com,Shuja,Khalid,https://talenthub.vectorinstitute.ai/profiles/2874552/view_image/1655442745559.jpeg,PhD Researcher,"Currently pursuing a PhD in Computer Science at the University of Toronto under the supervision of Prof. Frank Rudzicz. -My research is at the intersection of machine learning, and computer vision for healthcare applications.",16477860130,,http://www.cs.toronto.edu/~skhalid/,,https://www.linkedin.com/in/shujakhalid/,shujakhalidaziz,True,False,https://canadaai.jobboard.io/api/v1/profiles/bf182bb6-20e4-4fac-8b52-d62443fb99fd/resume,Toronto,Ontario,,Canada,linkedin,2022-06-26T04:55:53.304Z,2022-06-29T06:52:02.862Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,ON,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/shujakhalid/,"Computer vision, Deep learning, Healthcare and/or medical imaging",Postgraduate Degree (PhD),Mid-Level (3-5 Years),3,"Health, Software, Technology (Information and Media)",Internship,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -d8c992cb-a5b3-453c-adc5-25d80aa5154f,dliaqat@cs.toronto.edu,Daniyal ,Liaqat,https://talenthub.vectorinstitute.ai/profiles/2871659/view_image/daniyal_close.jpeg,"PhD, Founder, CEO",,,,http://www.cs.toronto.edu/~dliaqat,,https://www.linkedin.com/in/dliaqat,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d8c992cb-a5b3-453c-adc5-25d80aa5154f/resume,,,,,,2022-06-23T22:20:48.370Z,2022-06-28T16:19:12.157Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Frank Rudzicz,Already Graduated,,Dr.,https://www.linkedin.com/in/dliaqat,"Healthcare and/or medical imaging, Machine learning, Wearable technology and/or Internet of Things",Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Science,,Contract,"Data Scientist, Machine Learning Researcher/Scientist , Product/Project Manager",University of Toronto,True,True,True,True -519dcb39-1afb-4806-a936-0117342d6741,valliappan0808@gmail.com,Valliappan,CA,https://talenthub.vectorinstitute.ai/profiles/2907280/view_image/1639461296407.jpeg,R&D Engineer,,4388660787,,,,,,True,False,,Montreal,Quebec,,Canada,linkedin,2022-07-16T15:42:15.688Z,2022-07-16T15:42:16.190Z,False,False,Connected to Another AI Institute,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/valliappan-ca-28b3b297/?original_referer=https%3A%2F%2Fwww%2Egoogle%2Ecom%2F&originalSubdomain=ca,"Computer vision, Deep learning, Machine learning, Reinforcement learning, Robotics, Self-supervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),MSc Computer Science,"Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True -ac24833e-6169-4385-8324-6f3957429fbd,buracov.r@gmail.com,Roman,Burakov,https://talenthub.vectorinstitute.ai/profiles/2955165/view_image/1659655461570.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-08-15T21:10:35.903Z,2022-08-15T21:10:36.428Z,False,False,Connected to Vector Research,Yes,Other/Unsure,,,Vector Intern,,https://www.linkedin.com/in/roman-burakov/,,,,,,,,,True,False,True,True -95bd818f-857d-4aca-8998-59d71b443e9d,davidgao@live.ca,David,Gao,https://talenthub.vectorinstitute.ai/profiles/2961635/view_image/1598901546979.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-08-19T18:12:22.486Z,2022-08-19T18:12:23.113Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/david-gao-822753111/,,,,,,,,,True,False,True,True -9a86f784-0a53-4337-978d-216ef701d761,theo970521@gmail.com,Ruihao,Wang,https://talenthub.vectorinstitute.ai/profiles/2944474/view_image/1659723730643.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-08-08T22:59:14.537Z,2022-08-08T22:59:14.967Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/ruihao-wang/,,,,,,,,,True,True,True,True -49f23d41-3dae-4657-9c6b-3c92a72442ae,rssparul@gmail.com,Parul,Saini,https://talenthub.vectorinstitute.ai/profiles/2345516/view_image/parul_pic1.jpg,MScAC Student at University of Toronto,"I am a team player with excellent communication skills, driven by the motivation to design innovative solutions and derive meaningful insights from data. Looking forward to full-time data science roles from January 2023.",+1(647) 333 2022,,,,https://www.linkedin.com/in/parulsaini42/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/49f23d41-3dae-4657-9c6b-3c92a72442ae/resume,Toronto,Ontario,,Canada,,2021-05-05T12:36:00.670Z,2022-09-04T02:15:16.688Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Winter 2023 (December 2022 - March 2023),,Miss.,https://www.linkedin.com/in/parulsaini42/,"Data science, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Science in Applied Computing,Type of Work is More Important to me than Sector,Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -4a625f68-413e-413d-8038-6e49424dd3e0,kevinshuo.chen@gmail.com,Kevin,Chen,https://talenthub.vectorinstitute.ai/profiles/2986341/view_image/1516433103009.jpeg,,,,,,,https://www.linkedin.com/in/kevin-chen-a2aa422b/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4a625f68-413e-413d-8038-6e49424dd3e0/resume,,,,,linkedin,2022-09-04T18:54:23.316Z,2022-09-04T18:54:23.877Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/kevin-chen-a2aa422b/,"Machine learning, Natural language processing, Online learning",Graduate Degree (Masters),Senior Level (5+ Years),Master's of Management in Artificial Intelligence,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector",Full Time,Other ,Queen's University,True,False,True,True -a260b42e-8853-4a92-9230-88d2af508b25,marshallxkwang@gmail.com,Marshall,Wang,https://talenthub.vectorinstitute.ai/profiles/2515949/view_image/Profile_pic.jpg,,I'm an AI enthusiast with a strong software engineering background actively looking for exciting machine learning opportunities. I'm interested in working with the latest advancements and technologies in AI.,6476801466,,,,https://www.linkedin.com/in/marshall-xuekun-wang/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a260b42e-8853-4a92-9230-88d2af508b25/resume,Toronto,Ontario,,Canada,,2021-09-19T20:17:48.282Z,2022-08-30T01:33:27.013Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,http://linkedin.com/in/marshall-xuekun-wang,"Deep learning, Machine learning, Natural language processing, Reinforcement learning, Transfer learning",Graduate Degree (Masters),Entry Level (0-2 Years),M.Eng,"Financial Services, Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Scientist, Machine Learning Engineer, Software Engineer",University of Toronto,True,True,True,True -ffa2a8fd-f6e6-484c-aa9a-a1fddd72191b,ianlufitha@hotmail.com,Ian-Maxime,Lufitha-Mundele,https://talenthub.vectorinstitute.ai/profiles/2980963/view_image/1607630825593.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-08-31T19:23:53.023Z,2022-08-31T19:23:53.425Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/ianlufitha/,,,,,,,,,True,True,True,True -bd3a506b-ff7d-4f49-a00a-403d4f07b55b,tsiu18@yahoo.ca,Timothy,Siu,https://talenthub.vectorinstitute.ai/profiles/2996372/view_image/1623637233650.jpeg,Business Analyst,Support business growth through comprehensive knowledge of financial and accounting practices while maintaining controls and compliance. Extensive analytical and financial planning skills to identify critical trends for senior management.,6477855393,,,,https://www.linkedin.com/in/timothy-siu,,True,False,https://canadaai.jobboard.io/api/v1/profiles/bd3a506b-ff7d-4f49-a00a-403d4f07b55b/resume,,Ontario,,Canada,linkedin,2022-09-11T03:29:20.892Z,2022-09-11T03:29:21.324Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/timothy-siu/,"Interpretability, Machine learning, Recommender systems",Graduate Degree (Masters),Senior Level (5+ Years),Master of Management Analytics,Type of Work is More Important to me than Sector,Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst",Queen's University,True,False,True,True -4491c409-afd8-435c-9fe9-bd4f2c4aaaf8,balkassoum@gmail.com,Bintu,Alkassoum,https://talenthub.vectorinstitute.ai/profiles/2979418/view_image/1632601804571.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-08-30T23:27:51.612Z,2022-08-30T23:27:52.035Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/bintualkassoum/,,,,,,,,,True,False,True,True -36a47f6d-db40-483a-ae93-2e5d68ff6d56,shekhawatanuj96@gmail.com,anuj,shekhawat,https://talenthub.vectorinstitute.ai/profiles/2617246/view_image/DSC_1197_.jpg,Analytics Professional,Actively Looking for Full time roles starting December 2022.,647 996 1396,,http://anujshekhawat.me/website/,,https://www.linkedin.com/in/anuj-shekhawat/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/36a47f6d-db40-483a-ae93-2e5d68ff6d56/resume,Toronto,Ontario,,Canada,,2021-12-15T15:44:20.741Z,2022-09-04T20:17:47.123Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/anuj-shekhawat/,"Data science, Machine learning, Time-series forecasting and modelling, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management Analytics,"Financial Services, Health, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer",Queen's University,True,True,True,True -a8497e28-27b8-4dff-bbb3-ed12f8110328,feifei.han@mail.utoronto.ca,FeiFei,Han,https://talenthub.vectorinstitute.ai/profiles/2117746/view_image/Screen_Shot_2020-02-11_at_8.28.35_PM.png,,,,,,,https://www.linkedin.com/in/hanzifeifei/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a8497e28-27b8-4dff-bbb3-ed12f8110328/resume,,,,,,2020-10-30T17:20:58.829Z,2022-08-31T12:22:05.109Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/hanzifeifei/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science and Statistics / Management Analytics (MMA),"Education, Professional Services (e.g Consulting), Software, Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",University of Toronto,True,True,True,True -e45339bd-da64-4ee7-b40e-5191f176d975,manoosh.samiei@gmail.com,Manoosh,Samiei,https://talenthub.vectorinstitute.ai/profiles/2997314/view_image/manoosh.png,,,,,https://manooshsamiei.github.io/,,https://www.linkedin.com/in/manoosh-samiei-2386a1190/,SamieiManoosh,True,False,https://canadaai.jobboard.io/api/v1/profiles/e45339bd-da64-4ee7-b40e-5191f176d975/resume,,,,,,2022-09-12T01:01:15.490Z,2022-09-12T01:01:15.541Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,I am graduated with a masters in AI from McGill University and have worked +1 years in the application of computer vision algorithms for perception of autonomous vehicles.,Ms.,https://www.linkedin.com/in/manoosh-samiei-2386a1190/,"Computational biology, Computer vision, Neuroscience, Physics, Robotics",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Vision,"Health, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,True,True,True -665c0c0d-7457-4a1f-9ef0-29dbf9c09165,alex.olson@outlook.com,Alex,Olson,https://talenthub.vectorinstitute.ai/profiles/1599619/view_image/0.jpeg,Machine Learning Scientist,,6475510015,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/665c0c0d-7457-4a1f-9ef0-29dbf9c09165/resume,Toronto,Ontario,,Canada,linkedin,2020-01-13T22:21:29.223Z,2022-08-31T17:03:22.208Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Scott Sanner,Already Graduated,,Mr.,https://www.linkedin.com/in/alexwolson/,,Graduate Degree (Masters),Entry Level (0-2 Years),Machine Learning,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract",,University of Toronto,True,False,True,True -cb375b7e-5cec-4df1-a81c-f085d5c74957,marina.kamalova@gmail.com,Marina,Kamalova,https://talenthub.vectorinstitute.ai/profiles/2624626/view_image/409D00BA-655C-4112-BFD0-5A6C71FB1589_1_201_a.jpeg,,,4163207252,,,,https://www.linkedin.com/in/marinakamalova/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/cb375b7e-5cec-4df1-a81c-f085d5c74957/resume,Toronto,Ontario,,Canada,,2021-12-22T19:56:58.549Z,2022-09-06T23:21:35.978Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Ms.,https://www.linkedin.com/in/marinakamalova/,,Graduate Degree (Masters),Senior Level (5+ Years),Masters of Financial Innovation and Technology,,Full Time,Product/Project Manager,Queen's University,True,False,True,True -58e38c41-4dce-4f32-af41-bbdd9db76d9f,fanny@dgp.toronto.edu,Fanny,Chevalier,https://talenthub.vectorinstitute.ai/profiles/2978769/view_image/1516550115242.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-08-30T14:28:40.523Z,2022-08-30T14:28:40.996Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/fannychevalier/,,,,,,,,,True,False,True,True -84ee07c3-737b-4525-95e2-01c815c20faa,20svs3@queensu.ca,Sachin,V S,https://talenthub.vectorinstitute.ai/profiles/3014391/view_image/IMG-20210911-WA0017.jpg,Data Scientist ,"Fan of Cats, Cars, Cameras, Computers, and Cinema. -I'm a Data Scientist looking to develop AI systems that improve business efficiency, social good, and the consumer product experience; a solid team player who believes in the exponential power of continuous learning. -",6476799122,,http://www.sachinvs.ml,,https://www.linkedin.com/in/sachinvs7/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/84ee07c3-737b-4525-95e2-01c815c20faa/resume,Kingston,Ontario,,Canada,,2022-09-22T14:41:20.690Z,2022-10-11T15:35:31.211Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/sachinvs7/,"Adversarial learning, Anomaly detection, Data science, Deep learning, Game theory, Interpretability, Law, ethics and policy, Machine learning, Natural language processing, Optimization, Recommender systems, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computing,"Financial Services, Manufacturing , Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Contract","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",Queen's University,True,True,True,True -167a0f69-0a30-458c-a48c-30660411c6d1,kinnkit@yahoo.com,Alexander O.,"Dare, MD",https://talenthub.vectorinstitute.ai/profiles/3009676/view_image/1651516983312.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-09-20T01:50:28.914Z,2022-09-20T01:50:29.463Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/alexander-o-dare/,,,,,,,,,True,True,True,True -1c4a2e9f-5594-41ba-823a-ddcea68159e1,mehdi.jenab@yahoo.com,Mehdi,Jenab,https://talenthub.vectorinstitute.ai/profiles/2191425/view_image/1583919903182.jpeg,"Phd in Computational Physics, Machine Learning Engineer","I received my Phd in computational physics a few years ago and have worked on international level as a researcher in the field. During my research career, I have written and debugged codes in a range of computer languages stretching from old-fashioned Fortran to C++ and Python and recently to Lua. -I am also well-experienced in developing codes based on both Functional Programming (FP) and Object Oriented Programming (OOP) paradigms. Furthermore I have utilized supercomputers in South Africa and Sweden for my research and has a extensive knowledge on high-performance computing and parallel processing and programming. I have parallelized codes in both Fortran and C++ using the MPI approach. - I have a strong background in coding and huge appetite for software design with a tendency of attention to details. I enjoy learning new ideas, algorithms and technologies. As a natural teacher I have a friendly and helpful manner toward other people and my colleagues. I like sharing ideas and helping others to understand complicated subjects. I have a strong sense of work ethics with a proven record of commitment to deliver the best product. I am currently working and passing courses in machine learning, big data tools and data analytic. As a physicist with a strong mathematical background I am comfortable with statistics and formulas. -I am looking for an opportunity in data science. ",6472361395,,,,https://www.linkedin.com/in/mehdi-jenab-16198330/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/1c4a2e9f-5594-41ba-823a-ddcea68159e1/resume,Toronto,Ontario,,Canada,linkedin,2021-01-14T23:55:47.016Z,2022-08-05T14:34:24.525Z,False,False,Recognized Masters Program,Yes,Other/Unsure,Ryerson University,Already Graduated,I am studying at Ryerson University,Dr.,https://www.linkedin.com/in/mehdi-jenab-16198330/,"Data science, Deep learning, Machine learning, Natural language processing, Optimization, Physics, Quantum computing",Postgraduate Degree (PhD),Senior Level (5+ Years),"recieved my PhD in computational physics, currently I am studying in computer science",Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Contract",,Ryerson University,True,True,True,True -304a12c0-ae35-40d1-83ff-047a265567de,susmita.eee34@gmail.com,Susmita,Saha,https://talenthub.vectorinstitute.ai/profiles/2794174/view_image/Susmita_Saha_06012021.JPG,Machine learning Researcher,"I completed my Master's in Electrical and Computer Engineering from the University of Manitoba in February 2021. I have two more years of experience working as a graduate student researcher at UofM where I worked on Machine learning-based research projects. I am a self-motivated individual with strong interpersonal, communication, and organizational skills. I can work with little supervision and analyze complex problems with attention to detail. I am interested in learning new things and, therefore, I am actively seeking opportunities that would allow me to apply my knowledge to solve real-world problems.",4319980019,,,,https://www.linkedin.com/in/susmitasaha12/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/304a12c0-ae35-40d1-83ff-047a265567de/resume,Fort McMurray,Alberta,,Canada,,2022-05-03T01:31:41.724Z,2022-08-02T18:54:26.047Z,False,False,Connected to Vector Research,Yes,Other/Unsure,,Already Graduated,Mother's in ML Program,Mrs.,https://www.linkedin.com/in/susmitasaha12/,"Computer vision, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Electrical and Computer Engineering,"Financial Services, Manufacturing , Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True -df4431de-908d-41f4-9e8e-5b0c11d0d2c6,kathleenallysebastian@gmail.com,Kathleen,Sebastian,https://talenthub.vectorinstitute.ai/profiles/2994416/view_image/Profile_Picture.jpg,AI Project Management Intern @ Vector,,4373311784,,,,https://linkedin.com/in/kathleen-sebastian/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/df4431de-908d-41f4-9e8e-5b0c11d0d2c6/resume,Toronto,Ontario,,Canada,,2022-09-09T12:59:58.030Z,2022-09-18T22:18:23.096Z,False,False,Connected to Vector Research,Yes,Vector Faculty or Faculty Affiliate,,Fall 2023 (August - November),,Miss.,https://www.linkedin.com/in/kathleen-sebastian/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master's of Management in Artificial Intelligence,"Education, Financial Services, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Product/Project Manager",Queen's University,True,True,True,True -e18c183d-ebd4-474b-b23b-807d5679826e,david.awosoga@uwaterloo.ca,David,Awosoga,https://talenthub.vectorinstitute.ai/profiles/2995061/view_image/Screen_Shot_2022-09-09_at_7.18.30_PM.png,Masters of Mathematics Data Science (Thesis) Student at University of Waterloo,"Interests in Sports Analytics, Computer Programming, and Bayesian Statistics -",,,https://canadianbasketballanalytics.carrd.co,,https://www.linkedin.com/in/david-awosoga-0778b91b3,,True,False,,,,,,,2022-09-09T23:03:04.248Z,2022-09-29T23:43:42.545Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/david-awosoga-0778b91b3/,"Data science, Machine learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),"Masters of Mathematics in Data Science, Thesis Stream","Professional Services (e.g Consulting), Software, Technology (Product Development)",Internship,"Data Analyst, Data Engineer, Data Scientist, Software Engineer",University of Waterloo,True,False,True,True -01054d70-752f-42d7-a16e-66eced81a906,khansana012@gmail.com,Sana,"Khan,MS",https://talenthub.vectorinstitute.ai/profiles/2669558/view_image/LinkedIn_Profile_phot.jpg,Certified AWS Cloud Practitioner looking for full time opportunities in Data Science,,4378339757,,https://github.com/21sk96,,https://www.linkedin.com/in/sanarizkhan/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/01054d70-752f-42d7-a16e-66eced81a906/resume,Toronto,Ontario,,Canada,linkedin,2022-01-30T11:35:19.983Z,2022-09-06T03:57:58.985Z,False,False,Recognized Masters Program,Yes,Post Graduate Affiliate,Sedef Kocak,Winter 2023 (December 2022 - March 2023),,Mrs.,https://www.linkedin.com/in/sana-khan-0078600/,"Data science, Machine learning, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),Master's in Management Analytics,"Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Other ",Queen's University,True,True,True,True -c5000410-70a4-4a0b-8471-e28ff27e35f9,sajjadn47@gmail.com,Sajad,Ramezani,https://talenthub.vectorinstitute.ai/profiles/3005878/view_image/WP_20180202_14_38_56_Pro.jpg,,,,,,,https://www.linkedin.com/in/sajjadgg/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c5000410-70a4-4a0b-8471-e28ff27e35f9/resume,Edmonton,Alberta,,Canada,,2022-09-17T02:00:02.126Z,2022-09-17T02:00:02.174Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Fall 2024 (August - November),,Mr.,https://www.linkedin.com/in/sajjadgg/,"Data science, Few-shot learning, Generative modeling, Interpretability, Machine learning, Natural language processing, Recommender systems, Self-supervised learning, Statistical learning theory, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Computing Science,,"Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,False,True,True +e123c695-825b-49e3-9659-25525539783f,jadenedhlund@gmail.com,Jaden,Edhlund,https://talenthub.vectorinstitute.ai/profiles/1576762/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-29T22:49:50.870Z,2019-12-29T22:49:51.046Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/jaden-edhlund-112861182/,,,,,,,,,True,False,True,True +58f2695b-7cd0-4c43-bef4-a2b842a19b76,brandon.jj.ward@gmail.com,Brandon,Ward,https://talenthub.vectorinstitute.ai/profiles/1601395/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-14T19:47:59.429Z,2020-01-14T19:47:59.621Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/brandon-ward-76b7b112b/,,,,,,,,,True,True,True,True +62570b9d-1da9-4d56-aab7-7b94d37c030a,zhenghao.wang@hec.ca,Zhenghao,Wang,https://talenthub.vectorinstitute.ai/profiles/1599567/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-13T21:48:20.759Z,2020-01-13T21:48:21.087Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/zhenghao-wang-82b369154/,,,,,,,,,True,False,True,True +940a14dc-c297-499f-8537-8680585a38e3,kdchopra@edu.uwaterloo.ca,Kanika,Chopra,https://talenthub.vectorinstitute.ai/profiles/1610520/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-21T01:53:57.241Z,2020-01-21T01:53:57.500Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/kanikadchopra/,,,,,,,,,,,, +a783ffc5-aa16-414e-95b7-0abd89cc15ce,freddieyan555@gmail.com,Zhanyi,Yan,https://talenthub.vectorinstitute.ai/profiles/1654010/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-02-26T02:02:59.111Z,2020-02-26T02:02:59.319Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/zhanyi-yan-6a037718b/,,,,,,,,,True,False,True,True +cd07660c-cbf4-4e49-ab5f-7a81c9a7d429,ryan_dgama@hotmail.com,Ryan,D'Gama,https://talenthub.vectorinstitute.ai/profiles/1599842/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-14T03:08:12.755Z,2020-01-14T03:08:12.901Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/ryan-d-gama-b6a3b8125/,,,,,,,,,True,False,True,True +b767f042-784b-4b2a-aa8a-4c9bc8c181df,me170003058@iiti.ac.in,VAIBHAV,DALMIA,https://talenthub.vectorinstitute.ai/profiles/2230128/view_image/1591414783829.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-02-14T07:19:29.912Z,2021-02-14T07:19:30.092Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/vaibhavdalmia/,,,,,,,,,True,True,True,True +9f5cdad5-a011-488f-913b-1fb89112357f,fizza.hjafferi@gmail.com,Fizza,Hassan,https://talenthub.vectorinstitute.ai/profiles/1661336/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-03-04T14:07:14.205Z,2020-03-04T14:07:14.469Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/shanefizza/,,,,,,,,,True,True,True,True +68e57b7c-6b57-4954-a57e-5afda1e9012a,subercui@gmail.com,Haotian,Cui,https://talenthub.vectorinstitute.ai/profiles/2120238/view_image/0.jpeg,Ph.D. Student,Machine learning researcher in NLP and genomics,6478075186,,,,https://www.linkedin.com/in/haotiancui/,,True,False,,Toronto,Ontario,,Canada,linkedin,2020-11-02T16:45:36.657Z,2020-11-02T16:45:36.932Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Bo Wang,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/haotiancui/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science Ph.D.,"Health, Technology (Information and Media)","Full Time, Internship, Co-op",,University of Toronto,True,True,True,True +a8e91742-9a54-4867-8a44-0c8624ea386b,mail.hdhillon@gmail.com,Harsh,Dhillon,https://talenthub.vectorinstitute.ai/profiles/2124839/view_image/0.jpeg,,,,,,,,,True,False,,Toronto,Ontario,,Canada,linkedin,2020-11-06T22:21:23.102Z,2020-11-06T22:21:23.288Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/dhillonh/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,"Financial Services, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship",,Western University,True,True,True,True +55ad31c9-7823-4d4a-98fd-cf04838bfda6,zohaib.knoorani@gmail.com,Zohaib Karim,Noorani,https://talenthub.vectorinstitute.ai/profiles/2179311/view_image/1528296582084.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-01-05T17:07:21.456Z,2021-01-05T17:07:21.663Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/zohaibknoorani/,,,,,,,,,True,True,True,True +568d9fc8-d142-41e7-a439-b60aa1d056c2,viralbthakar@gmail.com,Viral,Thakar,https://talenthub.vectorinstitute.ai/profiles/2127312/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-11-09T19:39:19.689Z,2020-11-09T19:39:19.924Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/viralbthakar/,,,,,,,,,True,True,True,True +e2e20301-2d62-47db-926e-83abde98d3af,badri.berrabah@aims-senegal.org,Badri,Berrabah,https://talenthub.vectorinstitute.ai/profiles/1858713/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-07-05T22:53:28.615Z,2020-07-05T22:53:28.925Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/badri-berrabah-1a5541a9/,,,,,,,,,True,True,True,True +cc303ff1-5f68-4d47-b5ee-0a33b8036f57,jiachengcheng128@gmail.com,Chengcheng,Jia,https://talenthub.vectorinstitute.ai/profiles/2142554/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-11-25T20:01:17.362Z,2020-11-25T20:01:17.648Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/chengcheng-jia-97386875/,,,,,,,,,True,True,True,True +695acdd7-4281-4c62-b8b4-999ea5fe7b46,tina.he@mail.utoronto.ca,Tina,He,https://talenthub.vectorinstitute.ai/profiles/2122677/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-11-04T23:24:28.034Z,2020-11-04T23:24:28.375Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/tina-he-271209137/,,,,,,,,,True,False,True,True +8bd543e5-720e-40c5-aa55-b6b6b85c36c2,hishmania94@gmail.com,Hisham,Mohammad,https://talenthub.vectorinstitute.ai/profiles/2178387/view_image/1571257316850.jpeg,Graduate Student - Systems Design Engineering - University of Waterloo,"I am pursuing my MASc degree in Systems Design Engineering at the University of Waterloo. I am interested in implementing computer vision/AI to model biomechanical systems to develop innovative solutions, break down barriers, and improve quality of life. +I believe that my pursuit in being all-rounded has given me a unique insight and has encouraged me to seek new challenges.",9054473624,,,,https://www.linkedin.com/in/hisham-mohammad/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8bd543e5-720e-40c5-aa55-b6b6b85c36c2/resume,,,,,linkedin,2021-01-04T22:38:08.783Z,2021-01-05T13:49:20.361Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/hisham-mohammad/,"Computer vision, Deep learning, Healthcare and/or medical imaging",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Systems Design Engineering,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Product Development)","Internship, Co-op",,University of Waterloo,True,False,True,True +fe915461-9d85-4db2-a603-7ad965ba8874,oliver.limoyo@gmail.com,Oliver,Limoyo,https://talenthub.vectorinstitute.ai/profiles/2155307/view_image/1521603753297.jpeg,,,,,http://limoyo.ca,,https://www.linkedin.com/in/oliver-limoyo-937b61b0,OliverLimoyo,True,False,,,,,,linkedin,2020-12-10T07:19:04.868Z,2020-12-10T19:59:13.049Z,False,False,Connected to Vector Research,Yes,Post Graduate Affiliate,Jonathan Kelly,Already Graduated,,Mr.,https://www.linkedin.com/in/oliver-limoyo-937b61b0,"Computer vision, Data science, Deep learning, Generative modeling, Graphical models, Machine learning, Reinforcement learning, Representation learning, Robotics, Self-supervised learning, Time-series forecasting and modelling, Unsupervised learning",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Mechanical Engineering,,"Internship, Co-op, Contract",,University of Toronto,True,True,True,True +bc1db437-0cb7-4d55-b627-c9f1f64434f6,juliacdietrich5@gmail.com,Julia Claire,Dietrich,https://talenthub.vectorinstitute.ai/profiles/2341053/view_image/Profile.jpg,MHI Candidate - University of Toronto,,,,,,https://www.linkedin.com/in/juliacdietrich,,True,False,,Toronto,Ontario,,Canada,,2021-05-01T20:26:43.019Z,2021-05-01T20:26:43.048Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Miss.,https://www.linkedin.com/in/juliacdietrich/,"Healthcare and/or medical imaging, Natural language processing, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Masters in Health Informatics,Health,"Full Time, Internship, Contract","Product/Project Manager, Other ",University of Toronto,True,True,True,True +1634c56d-99a0-4cc2-ad65-7f6f38027714,sujathamudadla1213@gmail.com,Sujatha,Mudadla,https://talenthub.vectorinstitute.ai/profiles/2556996/view_image/1634234433012.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-10-22T17:54:45.890Z,2021-10-22T17:54:46.055Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/sujatha-m-87b9b3b6/,,,,,,,,,True,True,True,True +a4d1a26e-b5f4-49f2-8617-bd42c3895108,varghes3@uwindsor.ca,Ashly Chinnu,Varghese,https://talenthub.vectorinstitute.ai/profiles/2124529/view_image/Screenshot_2020-11-06_at_10.03.33_PM.png,"Pursuing Masters in Applied Computing (MAC) at the University of Windsor, Canada ","Enthusiastic, versatile and results-oriented Engineering graduate with 3+ years of experience in Software Development in Business Process Management domain. +Involved in requirement analysis, design and implementation of multiple processes. +Actively collaborated with client over various stages of project and solution design. +Strong development professional,Currently pursuing Master of Applied Computing at University of Windsor. ",,,,,https://www.linkedin.com/in/ashly-chinnu-varghese-b25778123,,True,False,,Windsor,Ontario,,Canada,,2020-11-06T15:01:38.057Z,2021-03-19T20:43:05.109Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/ashly-chinnu-varghese-b25778123/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Applied Computing,"Financial Services, Health, Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op",,University of Windsor,True,False,True,True +f47dfe3d-e5cc-4a29-a19f-102b60622fd4,shuya900514@gmail.com,Shuya,Liu,https://talenthub.vectorinstitute.ai/profiles/2153961/view_image/1584636136025.jpeg,Venture Analyst,"Shuya is a second-year MBA student majoring in Management Analytics at the Rotman School of Management. She has an engineering degree from the University of Illinois at Urbana-Champaign, and six years of experience at General Electric. +Shuya has a strong interest in data analytics and enjoys building models to uncover stories behind the data. She spent this summer working as a Venture Analyst for the Creative Destruction Lab and aims to pivot into data analytics after graduation. ",,,,,https://www.linkedin.com/in/shuyal/,,True,False,,Toronto,Ontario,,Canada,linkedin,2020-12-08T20:11:02.892Z,2020-12-09T16:04:05.816Z,False,False,Recognized Masters Program,Yes,Other/Unsure,Ajay Agrawal,Already Graduated,,Ms.,https://www.linkedin.com/in/shuyal/,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Business Administration,"Financial Services, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development)",Full Time,,University of Toronto,True,True,True,True +628d885d-ae2a-4d8b-9104-ea6c0cc9fa0d,ruiwen.wang@mail.utoronto.ca,Tina,Wang,https://talenthub.vectorinstitute.ai/profiles/2515957/view_image/1601485482155.jpg,,,,,,,https://www.linkedin.com/in/tina-wang-b07361113/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/628d885d-ae2a-4d8b-9104-ea6c0cc9fa0d/resume,,,,,,2021-09-19T20:17:53.040Z,2021-09-21T20:09:48.680Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/tina-wang-b07361113/,"Deep learning, Reinforcement learning, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Science in Applied Computing,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +3850449a-7184-4ae2-b260-e64f1ff34640,james.mcc.dickens@gmail.com,James,Dickens,https://talenthub.vectorinstitute.ai/profiles/1546046/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-02T16:04:11.866Z,2019-12-24T04:56:49.803Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/james-dickens-8014b0112/,,,,Master of Computer Science Concentration in Applied Artificial Intelligence,Telecommunications,"Internship, Co-op",,University of Ottawa,True,True,True,True +97add633-be4b-40ca-b711-1d3c36cc9b8f,alicezhou0805@gmail.com,Alice,Zhou,https://talenthub.vectorinstitute.ai/profiles/2548354/view_image/1610077227144.jpeg,,,16478302123,,https://github.com/zhoua0805,,https://www.linkedin.com/in/alice-x-zhou/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/97add633-be4b-40ca-b711-1d3c36cc9b8f/resume,,,,,linkedin,2021-10-15T21:57:37.668Z,2021-10-15T21:57:37.885Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Animesh Garg,Spring/Summer 2023 (April - July),,Ms.,https://www.linkedin.com/in/alice-x-zhou/,"Computer vision, Machine learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Engineering Science - Machine Intelligence,"Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Capstone Project","Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,False,True,True +34719d19-3a14-47db-962f-370c86d472f2,c.amuzie@gmail.com,Christine,Amuzie,https://talenthub.vectorinstitute.ai/profiles/2520123/view_image/1614688655510.jpeg,,,,,,,https://www.linkedin.com/in/BroaderImpact,BroaderImpact,True,False,,,,,,linkedin,2021-09-22T18:05:53.785Z,2021-09-22T18:05:53.949Z,False,False,Not Affiliated with Vector,No,Post Graduate Affiliate,,Other/Undetermined,,Miss.,https://www.linkedin.com/in/broaderimpact/,"Bioinformatics, Healthcare and/or medical imaging, Machine learning",Postgraduate Degree (PhD),Senior Level (5+ Years),Biomedical Engineering,Health,"Full Time, Contract","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True +1e882286-be3e-4d2d-9594-0a5252d1ef91,eva23@schulich.yorku.ca,Wenhui,Ma,https://talenthub.vectorinstitute.ai/profiles/2521134/view_image/1631586274315.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-09-23T12:41:05.138Z,2021-09-23T12:41:05.301Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/wenhui-ma-96ba47220/,,,,,,,,,True,True,True,True +409b9fdc-5c6e-40f5-b51d-681040a54105,felipeagf@cbpf.br,Felipe,A. Gomes Ferreira,https://talenthub.vectorinstitute.ai/profiles/2537676/view_image/1627184703666.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-10-07T02:57:20.174Z,2021-10-07T02:57:20.595Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/felipe-a-gomes-ferreira-533935186/,,,,,,,,,True,False,True,True +f90391bf-db0c-443e-8d3b-53c74dc5c57d,nimaheidari.me@gmail.com,Nima,Heidari,https://talenthub.vectorinstitute.ai/profiles/2506327/view_image/1619856454133.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-09-12T16:00:24.919Z,2021-09-12T16:00:25.126Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/nimaheidari/,,,,,,,,,True,True,True,True +1189a0e4-ba3d-4166-8efa-001fa9573de9,terrance.devries@gmail.com,Terrance,DeVries,https://talenthub.vectorinstitute.ai/profiles/2091286/view_image/avatar.jpg,,,5193623639,,https://tdevries.github.io/,,https://www.linkedin.com/in/terrance-devries/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/1189a0e4-ba3d-4166-8efa-001fa9573de9/resume,Guelph,Ontario,,Canada,linkedin,2020-10-08T04:05:41.631Z,2021-10-20T19:33:21.092Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Graham Taylor,Already Graduated,,Mr.,https://www.linkedin.com/in/terrance-devries-47b83a7b/,"Computer vision, Deep learning, Generative modeling",Postgraduate Degree (PhD),Entry Level (0-2 Years),Engineering Systems and Computing,"Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Guelph,True,False,True,True +c968128b-3203-488e-9b7e-64e2e200f7dd,soufianefadel1@gmail.com,Soufiane,Fadel,https://talenthub.vectorinstitute.ai/profiles/2101739/view_image/photo.png,Data scientist,"I have acquired useful problem-solving skills, and the ability to adapt to new situations and to work on problems I have never seen before, from practicing Olympiad-level mathematical problems. This helped me in all my studies and allowed me to propose novel ideas or more efficient approaches to some problems I faced. +",8193285217,,https://kerasmizer.deuyeh.com/,,https://www.linkedin.com/in/soufiane-fadel/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c968128b-3203-488e-9b7e-64e2e200f7dd/resume,Montreal,Quebec,,Canada,,2020-10-14T16:11:08.783Z,2020-11-02T21:39:50.386Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/soufiane-fadel/,,Graduate Degree (Masters),Entry Level (0-2 Years),Statistics,Technology (Product Development),"Full Time, Internship, Contract",,University of Ottawa,True,True,True,True +acc31d47-7ac5-4718-92a4-8d997bdc14b8,gurkanwal.arora@gmail.com,Gurkanwal,Arora,https://talenthub.vectorinstitute.ai/profiles/2075023/view_image/profile_pic.jpg,Engineering Intern (EIT),Experienced Engineer with a demonstrated history of working in a client-focused consulting environment and providing innovative solutions to meet client criteria. Currently pursuing a Master of Management in Artificial Intelligence (MMAI) degree to switch my career focus towards technology and innovation.,6479705293,,,,https://www.linkedin.com/in/gurkanwal-arora/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/acc31d47-7ac5-4718-92a4-8d997bdc14b8/resume,Brampton,Ontario,,Canada,,2020-09-22T14:16:27.635Z,2021-01-11T17:47:31.047Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/taha-s-031075135/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management in Artificial Intelligence,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op",,Queen's University,True,True,True,True +6a3fdff7-5d5e-4a88-8163-d3c602f2f314,najihs@schulich.yorku.ca,Najih,Shabir,https://talenthub.vectorinstitute.ai/profiles/1980353/view_image/Najih_DP2_-_Copy.png,Master of Management in Artificial Intelligence Candidate ,,,,,,https://www.linkedin.com/in/najihshabir/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6a3fdff7-5d5e-4a88-8163-d3c602f2f314/resume,Brampton,Ontario,,Canada,,2020-09-17T16:54:34.169Z,2020-09-19T02:52:25.451Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,http://linkedin.com/in/najihshabir,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management in Artificial Intelligence,"Health, Professional Services (e.g Consulting), Retail, Technology (Information and Media)","Full Time, Internship, Contract",,York University,True,True,True,True +0b7b4ddb-6fd6-4b86-a77e-d8fc91d4ada1,brandonrufino@hotmail.ca,Brandon,Rufino,https://talenthub.vectorinstitute.ai/profiles/2076710/view_image/0.jpeg,MASc Biomedical Engineering | B.Eng Electrical Engineering,"As a first generation student I have had a lot of expectations placed on myself. With that being said, I have thrived and used these expectations as fuel to further my career. I am passionate about using data science and AI techniques to advance the health care field. Most of my work today is dedicated towards completing my thesis which encompasses signal processing, data science, and machine learning. Also, I volunteer at St. Michael's Hospital where I work on clinical NLP models to predict severity scores of multiple sclerosis patients.",4168259194,,,,https://www.linkedin.com/in/brandon-rufino/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0b7b4ddb-6fd6-4b86-a77e-d8fc91d4ada1/resume,Toronto,Ontario,,Canada,linkedin,2020-09-23T20:24:09.252Z,2020-09-23T20:24:09.424Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,MASc student in engineering at the University of Toronto,Mr.,https://www.linkedin.com/in/brandon-rufino/,,Graduate Degree (Masters),Entry Level (0-2 Years),Biomedical Engineering,"Financial Services, Health, Professional Services (e.g Consulting), Technology (Product Development)",Full Time,,University of Toronto,True,True,True,True +a1c85a3b-be06-4a5c-b0dc-f3cd18661836,david.w.poon@gmail.com,David,"Poon, PMP®",https://talenthub.vectorinstitute.ai/profiles/1977183/view_image/0.jpeg,,,,,,,,,True,False,,Toronto,Ontario,,Canada,linkedin,2020-09-14T21:27:11.098Z,2020-09-15T13:45:46.159Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/david-poon-pmp%C2%AE-7563977/,,Graduate Degree (Masters),Senior Level (5+ Years),Masters of Management Analytics,"Education, Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Contract, Capstone Project",,Queen's University,True,True,True,True +d02b231b-869c-4890-a51b-19e49faca301,tewariaakanksha29@gmail.com,Aakanksha,Tewari,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6478644843,,,,,,True,True,,Mississauga,Ontario,,Canada,,2020-09-16T20:42:52.911Z,2021-01-06T20:17:34.444Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,Ontario,Already Graduated,PhD in Computer Engineering (Degree Awarded),Ms.,https://www.linkedin.com/in/aakanksha-tewari-366716113/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Doctorate in Computer Engineering,"Education, Software, Technology (Information and Media), Type of Work is More Important to me than Sector","Full Time, Contract",,Other,True,True,True,True +50e075e6-fe7e-47e8-8760-480834761c28,mikakochin@keio.jp,Mikako ,Chen,https://talenthub.vectorinstitute.ai/profiles/2077525/view_image/0.jpeg,Master of Management Analytics Candidate,,,,,,https://www.linkedin.com/in/meihuazi-mikako-chen,,True,False,https://canadaai.jobboard.io/api/v1/profiles/50e075e6-fe7e-47e8-8760-480834761c28/resume,,,,Canada,linkedin,2020-09-24T10:56:35.410Z,2020-09-24T17:44:46.495Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mrs.,https://www.linkedin.com/in/meihuazi-mikako-chen/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,Type of Work is More Important to me than Sector,Full Time,,University of Toronto,True,True,True,True +4d7c8564-062a-4b57-bcc8-a71975d7166e,moinbag@gmail.com,Moeen,Bagheri,https://talenthub.vectorinstitute.ai/profiles/2069778/view_image/0.jpeg,Data Scientist,Graduated from Ryerson University with a Master of Science in Data Science and Analytics. I enjoy solving problems using machine learning techniques. I am very interested in deep learning models. ,6478222919,,https://github.com/bagherig,,https://www.linkedin.com/in/moeenbagheri/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4d7c8564-062a-4b57-bcc8-a71975d7166e/resume,Toronto,Ontario,,Canada,linkedin,2020-09-19T05:05:48.780Z,2020-09-19T05:25:23.575Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/moeenbagheri/,,Graduate Degree (Masters),Entry Level (0-2 Years),Data Science and Analytics,"Financial Services, Health, Manufacturing , Retail, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship",,Ryerson University,True,False,True,True +da0dec84-4898-4e8e-8f49-604bedbd4923,yunxi.liu@rotman.utoronto.ca,Yunxi,Liu,https://talenthub.vectorinstitute.ai/profiles/2069631/view_image/00100lrPORTRAIT_00100_BURST20200404170748320_COVER.jpg,,,,,,,https://www.linkedin.com/in/wincyliu1/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/da0dec84-4898-4e8e-8f49-604bedbd4923/resume,,,,,,2020-09-18T21:37:29.031Z,2021-01-13T16:46:34.511Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/wincyliu1/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management Analytics,"Financial Services, Health, Professional Services (e.g Consulting), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,,University of Toronto,True,False,True,True +112ede7c-aaa9-444f-9777-cb5079be3b1c,aleemkhalaff@gmail.com,Aleem,Khalaff,https://talenthub.vectorinstitute.ai/profiles/1615210/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-24T01:42:18.268Z,2020-01-24T01:42:18.589Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/aleemkhalaff/,,,,,,,,,True,False,True,True +df710323-d78d-455d-bb6d-411492cae01d,14aw39@queensu.ca,Asia,Wisco,https://talenthub.vectorinstitute.ai/profiles/2084531/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-10-01T13:36:17.583Z,2020-10-01T13:36:17.802Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/asiawisco/,,,,,,,,,True,True,True,True +9cb37449-957f-447d-8603-629708560a45,kmfayora@gmail.com,Kevin,Freire,https://talenthub.vectorinstitute.ai/profiles/1550776/view_image/0.jpeg,,"Passionate in machine learning with the ability to apply ML techniques and leverage algorithms to solve real world problems. Established ability in developing effective ML models in speed prediction, object detection and self-driving vehicles.",6472315593,,https://github.com/kevinfreire,,https://www.linkedin.com/in/kfreirea,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9cb37449-957f-447d-8603-629708560a45/resume,Toronto,Ontario,,Canada,linkedin,2019-12-03T17:22:46.317Z,2021-10-20T22:08:37.009Z,False,False,Recognized Masters Program,Yes,Other/Unsure,,Already Graduated,I am a students in a vector recognized masters program at Ryerson University.,Mr.,https://www.linkedin.com/in/kfreirea/,"Anomaly detection, Computer vision, Machine learning, Natural language processing, Transfer learning",Graduate Degree (Masters),Entry Level (0-2 Years),Masters in Electrical and Computer Engineering with a focus in Artificial Intelligence,"Education, Health, Software, Technology (Information and Media), Technology (Product Development), Transportation","Full Time, Internship, Co-op","Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Ryerson University,True,False,True,True +5edf0023-d8b1-4fd0-b1b4-9aec9aa28735,advaya.gupta@mail.utoronto.ca,Advaya,Gupta,https://talenthub.vectorinstitute.ai/profiles/2089873/view_image/0.jpeg,Research Assistant at PAIR Lab and HBSc Computer Science Student at the University of Toronto,"I am a research assistant at PAIR Lab currently working on Hand and Object Pose Estimation and Tracking for Robotic Learning. I am currently in my third year of Bachelor's studies in Computer Science at the University of Toronto, St. George Campus.",4372299323,,https://advayagupta.me,,https://www.linkedin.com/in/advaya-gupta-5a2263151/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5edf0023-d8b1-4fd0-b1b4-9aec9aa28735/resume,Toronto,Ontario,,Canada,linkedin,2020-10-06T20:25:21.329Z,2021-12-02T17:14:17.542Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Animesh Garg,Already Graduated,,Mr.,https://www.linkedin.com/in/advaya-gupta-5a2263151/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science Specialist,Type of Work is More Important to me than Sector,Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Toronto,True,True,True,True +5da92a32-a2eb-4483-95d3-2523a5ba417b,parth.jaggi@mail.utoronto.ca,Parth,Jaggi,https://talenthub.vectorinstitute.ai/profiles/1966768/view_image/last-used.png,Worked on Microscopic Model-based RL Methods for Adaptive Traffic Signal Control at D3M Lab.,,6478679947,,,,https://www.linkedin.com/in/parth-jaggi/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5da92a32-a2eb-4483-95d3-2523a5ba417b/resume,Toronto,Ontario,,Canada,,2020-09-04T14:57:48.142Z,2021-10-01T04:00:10.462Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Professor Scott Sanner,Already Graduated,,Mr.,https://www.linkedin.com/in/parth-jaggi/,"Data science, Deep learning, Graphical models, Machine learning, Optimization, Reinforcement learning, Robotics",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Applied Science,"Education, Financial Services, Health, Software, Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +7262a430-ac31-4ca9-8d57-cfb8325f2869,fatemeh.darbehani@mail.utoronto.ca,Fatemeh,Darbehani,https://talenthub.vectorinstitute.ai/profiles/1956494/view_image/IMG_8424.jpg,Machine Learning Engineer,,6044410285,,https://github.com/fdarbeha,,https://www.linkedin.com/in/fdarbeha/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/7262a430-ac31-4ca9-8d57-cfb8325f2869/resume,Toronto,Ontario,,Canada,,2020-08-28T15:00:53.733Z,2021-01-28T03:52:10.237Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/fdarbeha/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,"Education, Health, Software, Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,,University of Toronto,True,True,True,True +34d2655d-2190-4623-a331-35af40d11e7f,kody.lim@mail.utoronto.ca,Kody,Lim,https://talenthub.vectorinstitute.ai/profiles/1974050/view_image/flippME.JPG,Master of Management Analytics Candidate,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/34d2655d-2190-4623-a331-35af40d11e7f/resume,Toronto,Ontario,,Canada,,2020-09-11T13:47:05.383Z,2020-09-16T04:37:05.719Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/kody-lim/,,Graduate Degree (Masters),Entry Level (0-2 Years),Management Analytics,Type of Work is More Important to me than Sector,Full Time,,University of Toronto,True,False,True,True +a864b223-8f99-4659-9d7b-a0d1a0054d0b,mahimachaudhary966@gmail.com,Mahima,Chaudhary,https://talenthub.vectorinstitute.ai/profiles/1944330/view_image/0.jpeg,,,4168355476,,https://www.eecs.yorku.ca/~cmahima/,,https://www.linkedin.com/in/mahima-chaudhary-210965123/,,True,False,,Toronto,Ontario,,Canada,linkedin,2020-08-20T19:51:02.008Z,2020-08-20T19:51:02.257Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/mahima-chaudhary-210965123/,,Graduate Degree (Masters),Entry Level (0-2 Years),MS in Computer Science,"Health, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op",,York University,True,True,True,True +cd15cec3-b0c7-4f6c-ac24-9247ec15c464,samanthaa.lee@mail.utoronto.ca,Samantha,Lee,https://talenthub.vectorinstitute.ai/profiles/1971770/view_image/0.jpeg,Executive Master of Health Informatics Candidate at U of T and Experienced Registered Nurse in the Emergency Department ,"I am an Executive Master of Health Informatics candidate at the University of Toronto and working as a Registered Nurse in the Emergency Department at North York General Hospital. I am interested in leveraging AI technologies to make health care more effective and efficient, with the ultimate goal of improving patient care. ",,,,,https://www.linkedin.com/in/samantha-lee-14ba5a157/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/cd15cec3-b0c7-4f6c-ac24-9247ec15c464/resume,,,,,linkedin,2020-09-09T15:10:08.888Z,2021-03-26T14:07:01.376Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Ms.,https://www.linkedin.com/in/samantha-lee-14ba5a157/,"Healthcare and/or medical imaging, Time-series forecasting and modelling, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Mid-Level (3-5 Years),Executive Master of Health Informatics,"Education, Health, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract","Product/Project Manager, Other ",University of Toronto,True,True,True,True +8f2069f3-3931-4858-8ec2-b6e380729b14,siddiqisonya@gmail.com,Sonya,Siddiqi,https://talenthub.vectorinstitute.ai/profiles/1974276/view_image/headshot.jpeg,Registered Vascular Technologist,"I am a clinician looking to help transform the health care system, while catering to health care providers and stakeholders. My career goals involve improving chronic disease management through the use of artificial intelligence, interactive technology and virtual care.",9052992412,,,,https://linkedin.com/in/sonyasiddiqi,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8f2069f3-3931-4858-8ec2-b6e380729b14/resume,Toronto,Ontario,,Canada,,2020-09-11T17:10:56.007Z,2020-11-12T00:02:21.252Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://linkedin.com/in/sonyasiddiqi,,Graduate Degree (Masters),Mid-Level (3-5 Years),Health Informatics,"Health, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development)","Internship, Co-op, Capstone Project",,University of Toronto,True,True,True,True +b98b9dfb-66fa-4110-8710-d3832d0e3088,rmd.davis@outlook.com,Robert,Davis,https://talenthub.vectorinstitute.ai/profiles/1974178/view_image/0.jpeg,Master of Management in Artificial Intelligence (MMAI) Candidate 2021 | Former athlete at Canadian Sailing Team,"Former Canadian National Team athlete with extensive experience working in high-performance teams. Pivoting to a career in management and artificial intelligence. +A motivated leader dedicated to his work with a strong sense for analytics and logistics. ",,,,,https://www.linkedin.com/in/rmd-davis/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b98b9dfb-66fa-4110-8710-d3832d0e3088/resume,,,,,linkedin,2020-09-11T15:30:49.322Z,2021-01-05T19:00:18.426Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/rmd-davis/,,Graduate Degree (Masters),Senior Level (5+ Years),MMAI,"Construction or Infrastructure, Education, Financial Services, Professional Services (e.g Consulting), Technology (Product Development)","Full Time, Capstone Project",,Queen's University,True,True,True,True +cd250341-e79e-4b77-aca6-a91baae4250a,15jge@queensu.ca,Jack,Ellis,https://talenthub.vectorinstitute.ai/profiles/1977073/view_image/download.png,Masters Student,,2892304027,,,,https://www.linkedin.com/in/JackEllis98/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/cd250341-e79e-4b77-aca6-a91baae4250a/resume,,,,,,2020-09-14T19:04:53.895Z,2020-09-14T19:04:53.939Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,ON,Winter 2021,,Mr.,https://www.linkedin.com/in/JackEllis98/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Science in Applied Computing,"Financial Services, Manufacturing , Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)",Co-op,,University of Toronto,True,True,True,True 9336a8df-28ff-427f-a0d1-75b2d614c3af,bingfanliu36@outlook.com,Bingfan (Steven),Liu,https://talenthub.vectorinstitute.ai/profiles/1975956/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-09-13T19:23:36.829Z,2020-09-13T19:23:37.025Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/bingfan-steven-liu-714195146/,,,,,,,,,True,True,True,True bbeaede7-42ac-4546-a185-27bd71a8340a,zhedamai0126@gmail.com,Marco (Zheda),Mai,https://talenthub.vectorinstitute.ai/profiles/1974144/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-09-11T15:00:28.847Z,2020-09-11T15:00:29.027Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/marco-zheda-mai-574a0b85/,,,,,,,,,True,True,True,True 698e981b-cca0-4017-ba13-179f94c082ad,yiruhelen.wang@mail.utoronto.ca,Helen,Wang,https://talenthub.vectorinstitute.ai/profiles/2137113/view_image/linkedin.jpg,University of Toronto Scholar | Machine Learning and Computer Vision Enthusiast,,2898923956,,,,https://www.linkedin.com/in/yi-ru-helen-wang/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/698e981b-cca0-4017-ba13-179f94c082ad/resume,Toronto,Ontario,,Canada,,2020-11-20T01:06:05.753Z,2020-11-26T14:37:33.749Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Animesh Garg,Already Graduated,,Miss.,https://www.linkedin.com/in/yi-ru-helen-wang/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Engineering Science (Robotics),"Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Internship, Co-op",,University of Toronto,True,False,True,True @@ -2707,107 +2691,147 @@ a35391fb-aca6-4dcb-bb27-47308385884a,kellyjeanmcconvey@gmail.com,Kelly,McConvey, b6f8fcfe-14af-4068-80d4-36b78887c2fc,a.soukvilay@gmail.com,Amanda,Soukvilay,https://talenthub.vectorinstitute.ai/profiles/1944089/view_image/IMG_4641.jpg,"Patient Flow Specialist at Sunnybrook Hospital, Masters of Health Informatics candidate",,2899256462,,,,https://www.linkedin.com/in/amandasoukvilay/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b6f8fcfe-14af-4068-80d4-36b78887c2fc/resume,Toronto,Ontario,,Canada,,2020-08-20T16:44:45.805Z,2020-09-21T13:07:54.527Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,University of Toronto Masters of Health Informatics,Already Graduated,,Ms.,https://www.linkedin.com/in/amandasoukvilay/,,Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Health Informatics,"Health, Technology (Information and Media), Technology (Product Development)","Full Time, Internship",,University of Toronto,True,False,True,True 447768a5-dffe-4237-8eb4-efc476584463,ting.kay.lan@gmail.com,Ting,Lan,https://talenthub.vectorinstitute.ai/profiles/2493784/view_image/1600183072531.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-09-02T00:18:09.752Z,2021-09-23T15:39:52.880Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/ting-lan-25b18087/,,,,,,,,,True,False,True,True b43d9eb1-d8ea-4df0-bc4b-da895c560830,hendersonry63@gmail.com,Ryan,Henderson,https://talenthub.vectorinstitute.ai/profiles/2517579/view_image/1631198050057.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-09-20T23:57:24.988Z,2021-09-20T23:57:25.166Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/ryan-henderson-4b719b220/,,,,,,,,,True,True,True,True -a12b721f-518b-40d5-a958-bda0a64d91bc,gnada1@gmail.com,Gunalan,Nadarajah,https://talenthub.vectorinstitute.ai/profiles/2205279/view_image/1573259108943.jpeg,Machine Learning/Data Analytics Expertise ,,6472711337,,,,https://ca.linkedin.com/in/gnada,,True,False,,Toronto,Ontario,,Canada,linkedin,2021-01-25T21:59:10.185Z,2021-01-25T21:59:10.349Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,,Mr.,https://ca.linkedin.com/in/gnada,,Graduate Degree (Masters),Senior Level (5+ Years),Engineering,"Education, Financial Services, Health, Professional Services (e.g Consulting), Technology (Product Development), Telecommunications",Full Time,,McMaster University,True,True,True,True -ff659d54-6aad-4cf9-83a5-20b2d8aa994f,zain.hasan@utoronto.ca,Zain,Hasan,https://talenthub.vectorinstitute.ai/profiles/1601953/view_image/ZainHasan_Headshot.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ff659d54-6aad-4cf9-83a5-20b2d8aa994f/resume,,,,,,2020-01-15T06:15:22.696Z,2020-01-23T05:08:20.870Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,"Alex Mihailidis, Marzyeh Ghassemi",Already Graduated,,Mr.,https://www.linkedin.com/in/zainhas/,,Postgraduate Degree (PhD),,Engineering,"Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op",,University of Toronto,True,True,True,True -ef46c39e-0860-45b1-8637-75e7eec877c6,hormuzj@hotmail.com,Hormuz,Javat,https://talenthub.vectorinstitute.ai/profiles/1586082/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-06T16:11:47.403Z,2020-01-06T16:11:47.596Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/hormuz-j-979120127/,,Undergraduate Degree (Bachelors),,,,,,,True,True,True,True -2fbcfe38-16a6-47ec-ba43-bd265f27ad92,marwa.suraj@icloud.com,Marwa,Suraj,https://talenthub.vectorinstitute.ai/profiles/1660548/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-03-03T21:12:00.073Z,2020-03-03T21:35:57.561Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,,Ms.,https://www.linkedin.com/in/marwasuraj/,,Postgraduate Degree (PhD),,Doctor of Medicine,Health,"Full Time, Internship, Co-op",,Other,True,True,True,True -a6e8cbf5-5111-4f1f-a078-4b597509f52a,m2noured@uwaterloo.ca,Mina,Nouredanesh,https://talenthub.vectorinstitute.ai/profiles/1589127/view_image/Mina.png,,,,,https://uwaterloo.ca/scholar/m2noured,,https://ca.linkedin.com/in/m-nouredanesh,MinaNouredanesh,True,False,https://canadaai.jobboard.io/api/v1/profiles/a6e8cbf5-5111-4f1f-a078-4b597509f52a/resume,,,,,,2020-01-07T21:38:48.777Z,2020-01-08T04:28:01.973Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,,Ms.,https://ca.linkedin.com/in/m-nouredanesh,,Postgraduate Degree (PhD),,Mechatronics Engineering,"Health, Technology (Product Development)","Internship, Contract",,University of Waterloo,True,True,True,True -3317117e-5407-4ea6-b2e2-ce603871c751,csijia@bu.edu,Sijia (Emily),Cao,https://talenthub.vectorinstitute.ai/profiles/1644772/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-02-14T19:53:32.331Z,2020-02-14T19:53:32.563Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/sijia-emily-cao-529647107/,,,,,,,,,True,True,True,True -20f1e735-8e45-4612-a88f-ce153fcedcc9,eiguray@edu.uwaterloo.ca,Egemen,Guray,https://talenthub.vectorinstitute.ai/profiles/1591172/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-08T21:30:37.907Z,2020-01-08T21:30:38.073Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/egemenguray/,,Undergraduate Degree (Bachelors),,,,,,,True,False,True,True -fe2c6d58-9708-435d-87cc-2f89d071a033,baghdadiamir.ab@gmail.com,Amir,"Baghdadi, PhD",https://talenthub.vectorinstitute.ai/profiles/2221958/view_image/1546535642590.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-02-08T03:53:09.362Z,2021-02-08T03:53:09.571Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/amirbaghdadi/,,,,,,,,,True,False,True,True -97137e85-189c-4567-bef5-b64f394a00d5,elias.williams@mail.utoronto.ca,Elias,Williams,https://talenthub.vectorinstitute.ai/profiles/2206548/view_image/1593880182412.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-01-26T20:35:41.247Z,2021-01-26T20:35:41.499Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/elias-williams/,,,,,,,,,True,True,True,True -0f6c5c6b-cb64-4022-b9f9-ee585fae2615,mayuresh23sawant@gmail.com,Mayuresh,Sawant,https://talenthub.vectorinstitute.ai/profiles/2249561/view_image/1594444726001.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-02-28T14:24:18.576Z,2021-02-28T14:24:18.749Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/m23sawant/,,,,,,,,,True,True,True,True -e2a39eef-f003-4778-9fa5-60d90ed07a3b,samichoudhry5050@gmail.com,Sami Ali,Choudhry,https://talenthub.vectorinstitute.ai/profiles/1610019/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-20T18:38:05.319Z,2020-01-20T18:38:05.511Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/samialichoudhry/,,,,,,,,,True,True,True,True -abfb6a6c-6093-4337-8839-120f3b295a45,sainis8765@gmail.com,Jasleen,Kaur,https://talenthub.vectorinstitute.ai/profiles/1586164/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-06T16:39:19.519Z,2020-01-15T01:24:05.607Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/jasleen-kaur-saini-b29565136/,,,,,,,,,True,True,True,True -e123c695-825b-49e3-9659-25525539783f,jadenedhlund@gmail.com,Jaden,Edhlund,https://talenthub.vectorinstitute.ai/profiles/1576762/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-29T22:49:50.870Z,2019-12-29T22:49:51.046Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/jaden-edhlund-112861182/,,,,,,,,,True,False,True,True -58f2695b-7cd0-4c43-bef4-a2b842a19b76,brandon.jj.ward@gmail.com,Brandon,Ward,https://talenthub.vectorinstitute.ai/profiles/1601395/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-14T19:47:59.429Z,2020-01-14T19:47:59.621Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/brandon-ward-76b7b112b/,,,,,,,,,True,True,True,True -518f754a-de94-475e-acd1-91903b787901,dwlambiri@gmail.com,Darius,Lambiri,https://talenthub.vectorinstitute.ai/profiles/1583134/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-05T03:00:08.130Z,2020-01-05T03:00:08.304Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/darius-lambiri-7257bb192/,,,,,,,,,True,True,True,True -b767f042-784b-4b2a-aa8a-4c9bc8c181df,me170003058@iiti.ac.in,VAIBHAV,DALMIA,https://talenthub.vectorinstitute.ai/profiles/2230128/view_image/1591414783829.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-02-14T07:19:29.912Z,2021-02-14T07:19:30.092Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/vaibhavdalmia/,,,,,,,,,True,True,True,True -cd07660c-cbf4-4e49-ab5f-7a81c9a7d429,ryan_dgama@hotmail.com,Ryan,D'Gama,https://talenthub.vectorinstitute.ai/profiles/1599842/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-14T03:08:12.755Z,2020-01-14T03:08:12.901Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/ryan-d-gama-b6a3b8125/,,,,,,,,,True,False,True,True -940a14dc-c297-499f-8537-8680585a38e3,kdchopra@edu.uwaterloo.ca,Kanika,Chopra,https://talenthub.vectorinstitute.ai/profiles/1610520/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-21T01:53:57.241Z,2020-01-21T01:53:57.500Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/kanikadchopra/,,,,,,,,,,,, -9f5cdad5-a011-488f-913b-1fb89112357f,fizza.hjafferi@gmail.com,Fizza,Hassan,https://talenthub.vectorinstitute.ai/profiles/1661336/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-03-04T14:07:14.205Z,2020-03-04T14:07:14.469Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/shanefizza/,,,,,,,,,True,True,True,True -7a736ce3-e098-4d17-b8b4-c228e58ffc91,ronak1997@gmail.com,Ronak,Patel,https://talenthub.vectorinstitute.ai/profiles/1604380/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-16T14:41:05.567Z,2020-01-16T14:41:05.865Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/ronakpatel6/,,,,,,,,,True,True,True,True -16198017-614b-4da9-9841-58631530d7b6,vieshpatel@gmail.com,Vishvesh,Kachhadia,https://talenthub.vectorinstitute.ai/profiles/1608233/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-19T16:09:32.131Z,2020-02-25T14:48:40.851Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/vishvesh-kachhadia-b862539b/,,,,,,,,,True,True,True,True -dfed3797-4a21-4a55-8bfe-24466a6a13a9,samaniego.cj@gmail.com,Christian,Samaniego,https://talenthub.vectorinstitute.ai/profiles/1596054/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-12T00:57:42.459Z,2020-01-12T00:57:42.605Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/christian-samaniego/,,,,,,,,,True,False,True,True -62570b9d-1da9-4d56-aab7-7b94d37c030a,zhenghao.wang@hec.ca,Zhenghao,Wang,https://talenthub.vectorinstitute.ai/profiles/1599567/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-13T21:48:20.759Z,2020-01-13T21:48:21.087Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/zhenghao-wang-82b369154/,,,,,,,,,True,False,True,True -a783ffc5-aa16-414e-95b7-0abd89cc15ce,freddieyan555@gmail.com,Zhanyi,Yan,https://talenthub.vectorinstitute.ai/profiles/1654010/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-02-26T02:02:59.111Z,2020-02-26T02:02:59.319Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/zhanyi-yan-6a037718b/,,,,,,,,,True,False,True,True -9be4f8f1-9751-4443-8905-27eaead3cd9a,shosse95@uwo.ca,Seyed Mostafa,Hosseinian,https://talenthub.vectorinstitute.ai/profiles/2185222/view_image/download.png,Candidate for Master of Data Analytics (MDA),"I am an innovative analytics professional, eager to learn and grow, always passionate about converting data into insights for gaining a better understanding of the world around me. I am invariably enthusiastic about turning obstacles into opportunities and celebrating success together in a team setting as well.",6475172979,,,,https://www.linkedin.com/in/mostafa-hosseinian/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9be4f8f1-9751-4443-8905-27eaead3cd9a/resume,Richmond Hill,Ontario,,Canada,,2021-01-10T19:20:33.220Z,2021-01-14T01:03:23.367Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2021,,Mr.,https://www.linkedin.com/in/mostafa-hosseinian/,"Data science, Machine learning, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Data Analytics,"Financial Services, Professional Services (e.g Consulting), Retail, Technology (Information and Media), Telecommunications","Internship, Co-op",,Western University,True,False,True,True -ed8df148-cebd-45e7-a302-e48cbed325c4,sharif.j.mansour@gmail.com,Sharif,Mansour,https://talenthub.vectorinstitute.ai/profiles/2185467/view_image/sharif.png,Solutions Architect,Solution Architect at Limelight Software focused on building great and reliable systems for financial users. On my spare time I focus on conducting research in artificial intelligence; specifically related to creating complex data distributions through machine learning models such as the creation of high resolution images. ,4168377407,,,,https://www.linkedin.com/in/sharif-mansour-346372114/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ed8df148-cebd-45e7-a302-e48cbed325c4/resume,Toronto,Ontario,,Canada,,2021-01-11T00:02:13.087Z,2021-01-23T17:50:57.559Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/sharif-mansour-346372114/,"Adversarial learning, Data science, Generative modeling, Machine learning, Representation learning, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Computer and Electrical Engineering (MEng) with AI Concentration,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)",Full Time,,Ryerson University,True,True,True,True -75267712-0550-4809-ad82-63025fc15d93,komal.mistry224@gmail.com,Komal,Mistry,https://talenthub.vectorinstitute.ai/profiles/2182885/view_image/1601808671720.jpeg,Data Scientist | Machine Learning Engineer | Data Analyst,"I am a machine learning engineer with a background in computational linguistics, natural language processing, business intelligence and electronics engineering. I specialize in deep learning and neural networks and am always excited about learning and exploring cutting edge AI tools and techniques like TensorFlow, Pytorch, Transformers, GPT etc. I love creating insight and impact using both my analytical and managerial skills, what I lack in experience I make up for with my diverse education and can do attitude to challenges.",2368651458,,https://mistrywoman.github.io/,,https://www.linkedin.com/in/komal-mistry-7893bb120/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/75267712-0550-4809-ad82-63025fc15d93/resume,,,,Canada,linkedin,2021-01-08T17:12:08.611Z,2021-01-23T07:29:22.653Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,University of British Columbia,Ms.,https://www.linkedin.com/in/komal-mistry-7893bb120/,"Data science, Deep learning, Machine learning, Natural language processing, Recommender systems, Representation learning, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),University of British Columbia - Masters of Data Science (Computational Linguistics),"Education, Financial Services, Health, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Contract",,Other,True,True,True,True -f47dfe3d-e5cc-4a29-a19f-102b60622fd4,shuya900514@gmail.com,Shuya,Liu,https://talenthub.vectorinstitute.ai/profiles/2153961/view_image/1584636136025.jpeg,Venture Analyst,"Shuya is a second-year MBA student majoring in Management Analytics at the Rotman School of Management. She has an engineering degree from the University of Illinois at Urbana-Champaign, and six years of experience at General Electric. -Shuya has a strong interest in data analytics and enjoys building models to uncover stories behind the data. She spent this summer working as a Venture Analyst for the Creative Destruction Lab and aims to pivot into data analytics after graduation. ",,,,,https://www.linkedin.com/in/shuyal/,,True,False,,Toronto,Ontario,,Canada,linkedin,2020-12-08T20:11:02.892Z,2020-12-09T16:04:05.816Z,False,False,Recognized Masters Program,Yes,Other/Unsure,Ajay Agrawal,Already Graduated,,Ms.,https://www.linkedin.com/in/shuyal/,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Business Administration,"Financial Services, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development)",Full Time,,University of Toronto,True,True,True,True -68e57b7c-6b57-4954-a57e-5afda1e9012a,subercui@gmail.com,Haotian,Cui,https://talenthub.vectorinstitute.ai/profiles/2120238/view_image/0.jpeg,Ph.D. Student,Machine learning researcher in NLP and genomics,6478075186,,,,https://www.linkedin.com/in/haotiancui/,,True,False,,Toronto,Ontario,,Canada,linkedin,2020-11-02T16:45:36.657Z,2020-11-02T16:45:36.932Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Bo Wang,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/haotiancui/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science Ph.D.,"Health, Technology (Information and Media)","Full Time, Internship, Co-op",,University of Toronto,True,True,True,True -a8e91742-9a54-4867-8a44-0c8624ea386b,mail.hdhillon@gmail.com,Harsh,Dhillon,https://talenthub.vectorinstitute.ai/profiles/2124839/view_image/0.jpeg,,,,,,,,,True,False,,Toronto,Ontario,,Canada,linkedin,2020-11-06T22:21:23.102Z,2020-11-06T22:21:23.288Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/dhillonh/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,"Financial Services, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship",,Western University,True,True,True,True -568d9fc8-d142-41e7-a439-b60aa1d056c2,viralbthakar@gmail.com,Viral,Thakar,https://talenthub.vectorinstitute.ai/profiles/2127312/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-11-09T19:39:19.689Z,2020-11-09T19:39:19.924Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/viralbthakar/,,,,,,,,,True,True,True,True -e2e20301-2d62-47db-926e-83abde98d3af,badri.berrabah@aims-senegal.org,Badri,Berrabah,https://talenthub.vectorinstitute.ai/profiles/1858713/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-07-05T22:53:28.615Z,2020-07-05T22:53:28.925Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/badri-berrabah-1a5541a9/,,,,,,,,,True,True,True,True -cc303ff1-5f68-4d47-b5ee-0a33b8036f57,jiachengcheng128@gmail.com,Chengcheng,Jia,https://talenthub.vectorinstitute.ai/profiles/2142554/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-11-25T20:01:17.362Z,2020-11-25T20:01:17.648Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/chengcheng-jia-97386875/,,,,,,,,,True,True,True,True -55ad31c9-7823-4d4a-98fd-cf04838bfda6,zohaib.knoorani@gmail.com,Zohaib Karim,Noorani,https://talenthub.vectorinstitute.ai/profiles/2179311/view_image/1528296582084.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-01-05T17:07:21.456Z,2021-01-05T17:07:21.663Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/zohaibknoorani/,,,,,,,,,True,True,True,True -695acdd7-4281-4c62-b8b4-999ea5fe7b46,tina.he@mail.utoronto.ca,Tina,He,https://talenthub.vectorinstitute.ai/profiles/2122677/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-11-04T23:24:28.034Z,2020-11-04T23:24:28.375Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/tina-he-271209137/,,,,,,,,,True,False,True,True -8bd543e5-720e-40c5-aa55-b6b6b85c36c2,hishmania94@gmail.com,Hisham,Mohammad,https://talenthub.vectorinstitute.ai/profiles/2178387/view_image/1571257316850.jpeg,Graduate Student - Systems Design Engineering - University of Waterloo,"I am pursuing my MASc degree in Systems Design Engineering at the University of Waterloo. I am interested in implementing computer vision/AI to model biomechanical systems to develop innovative solutions, break down barriers, and improve quality of life. -I believe that my pursuit in being all-rounded has given me a unique insight and has encouraged me to seek new challenges.",9054473624,,,,https://www.linkedin.com/in/hisham-mohammad/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8bd543e5-720e-40c5-aa55-b6b6b85c36c2/resume,,,,,linkedin,2021-01-04T22:38:08.783Z,2021-01-05T13:49:20.361Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/hisham-mohammad/,"Computer vision, Deep learning, Healthcare and/or medical imaging",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Systems Design Engineering,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Product Development)","Internship, Co-op",,University of Waterloo,True,False,True,True -fe915461-9d85-4db2-a603-7ad965ba8874,oliver.limoyo@gmail.com,Oliver,Limoyo,https://talenthub.vectorinstitute.ai/profiles/2155307/view_image/1521603753297.jpeg,,,,,http://limoyo.ca,,https://www.linkedin.com/in/oliver-limoyo-937b61b0,OliverLimoyo,True,False,,,,,,linkedin,2020-12-10T07:19:04.868Z,2020-12-10T19:59:13.049Z,False,False,Connected to Vector Research,Yes,Post Graduate Affiliate,Jonathan Kelly,Already Graduated,,Mr.,https://www.linkedin.com/in/oliver-limoyo-937b61b0,"Computer vision, Data science, Deep learning, Generative modeling, Graphical models, Machine learning, Reinforcement learning, Representation learning, Robotics, Self-supervised learning, Time-series forecasting and modelling, Unsupervised learning",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Mechanical Engineering,,"Internship, Co-op, Contract",,University of Toronto,True,True,True,True -a4d1a26e-b5f4-49f2-8617-bd42c3895108,varghes3@uwindsor.ca,Ashly Chinnu,Varghese,https://talenthub.vectorinstitute.ai/profiles/2124529/view_image/Screenshot_2020-11-06_at_10.03.33_PM.png,"Pursuing Masters in Applied Computing (MAC) at the University of Windsor, Canada ","Enthusiastic, versatile and results-oriented Engineering graduate with 3+ years of experience in Software Development in Business Process Management domain. -Involved in requirement analysis, design and implementation of multiple processes. -Actively collaborated with client over various stages of project and solution design. -Strong development professional,Currently pursuing Master of Applied Computing at University of Windsor. ",,,,,https://www.linkedin.com/in/ashly-chinnu-varghese-b25778123,,True,False,,Windsor,Ontario,,Canada,,2020-11-06T15:01:38.057Z,2021-03-19T20:43:05.109Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/ashly-chinnu-varghese-b25778123/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Applied Computing,"Financial Services, Health, Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op",,University of Windsor,True,False,True,True -bc1db437-0cb7-4d55-b627-c9f1f64434f6,juliacdietrich5@gmail.com,Julia Claire,Dietrich,https://talenthub.vectorinstitute.ai/profiles/2341053/view_image/Profile.jpg,MHI Candidate - University of Toronto,,,,,,https://www.linkedin.com/in/juliacdietrich,,True,False,,Toronto,Ontario,,Canada,,2021-05-01T20:26:43.019Z,2021-05-01T20:26:43.048Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Miss.,https://www.linkedin.com/in/juliacdietrich/,"Healthcare and/or medical imaging, Natural language processing, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Masters in Health Informatics,Health,"Full Time, Internship, Contract","Product/Project Manager, Other ",University of Toronto,True,True,True,True -1189a0e4-ba3d-4166-8efa-001fa9573de9,terrance.devries@gmail.com,Terrance,DeVries,https://talenthub.vectorinstitute.ai/profiles/2091286/view_image/avatar.jpg,,,5193623639,,https://tdevries.github.io/,,https://www.linkedin.com/in/terrance-devries/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/1189a0e4-ba3d-4166-8efa-001fa9573de9/resume,Guelph,Ontario,,Canada,linkedin,2020-10-08T04:05:41.631Z,2021-10-20T19:33:21.092Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Graham Taylor,Already Graduated,,Mr.,https://www.linkedin.com/in/terrance-devries-47b83a7b/,"Computer vision, Deep learning, Generative modeling",Postgraduate Degree (PhD),Entry Level (0-2 Years),Engineering Systems and Computing,"Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Guelph,True,False,True,True -1634c56d-99a0-4cc2-ad65-7f6f38027714,sujathamudadla1213@gmail.com,Sujatha,Mudadla,https://talenthub.vectorinstitute.ai/profiles/2556996/view_image/1634234433012.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-10-22T17:54:45.890Z,2021-10-22T17:54:46.055Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/sujatha-m-87b9b3b6/,,,,,,,,,True,True,True,True -97add633-be4b-40ca-b711-1d3c36cc9b8f,alicezhou0805@gmail.com,Alice,Zhou,https://talenthub.vectorinstitute.ai/profiles/2548354/view_image/1610077227144.jpeg,,,16478302123,,https://github.com/zhoua0805,,https://www.linkedin.com/in/alice-x-zhou/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/97add633-be4b-40ca-b711-1d3c36cc9b8f/resume,,,,,linkedin,2021-10-15T21:57:37.668Z,2021-10-15T21:57:37.885Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Animesh Garg,Spring/Summer 2023 (April - July),,Ms.,https://www.linkedin.com/in/alice-x-zhou/,"Computer vision, Machine learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Engineering Science - Machine Intelligence,"Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Capstone Project","Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,False,True,True -3850449a-7184-4ae2-b260-e64f1ff34640,james.mcc.dickens@gmail.com,James,Dickens,https://talenthub.vectorinstitute.ai/profiles/1546046/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-02T16:04:11.866Z,2019-12-24T04:56:49.803Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/james-dickens-8014b0112/,,,,Master of Computer Science Concentration in Applied Artificial Intelligence,Telecommunications,"Internship, Co-op",,University of Ottawa,True,True,True,True -34719d19-3a14-47db-962f-370c86d472f2,c.amuzie@gmail.com,Christine,Amuzie,https://talenthub.vectorinstitute.ai/profiles/2520123/view_image/1614688655510.jpeg,,,,,,,https://www.linkedin.com/in/BroaderImpact,BroaderImpact,True,False,,,,,,linkedin,2021-09-22T18:05:53.785Z,2021-09-22T18:05:53.949Z,False,False,Not Affiliated with Vector,No,Post Graduate Affiliate,,Other/Undetermined,,Miss.,https://www.linkedin.com/in/broaderimpact/,"Bioinformatics, Healthcare and/or medical imaging, Machine learning",Postgraduate Degree (PhD),Senior Level (5+ Years),Biomedical Engineering,Health,"Full Time, Contract","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True -628d885d-ae2a-4d8b-9104-ea6c0cc9fa0d,ruiwen.wang@mail.utoronto.ca,Tina,Wang,https://talenthub.vectorinstitute.ai/profiles/2515957/view_image/1601485482155.jpg,,,,,,,https://www.linkedin.com/in/tina-wang-b07361113/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/628d885d-ae2a-4d8b-9104-ea6c0cc9fa0d/resume,,,,,,2021-09-19T20:17:53.040Z,2021-09-21T20:09:48.680Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/tina-wang-b07361113/,"Deep learning, Reinforcement learning, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Science in Applied Computing,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -409b9fdc-5c6e-40f5-b51d-681040a54105,felipeagf@cbpf.br,Felipe,A. Gomes Ferreira,https://talenthub.vectorinstitute.ai/profiles/2537676/view_image/1627184703666.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-10-07T02:57:20.174Z,2021-10-07T02:57:20.595Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/felipe-a-gomes-ferreira-533935186/,,,,,,,,,True,False,True,True -f90391bf-db0c-443e-8d3b-53c74dc5c57d,nimaheidari.me@gmail.com,Nima,Heidari,https://talenthub.vectorinstitute.ai/profiles/2506327/view_image/1619856454133.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-09-12T16:00:24.919Z,2021-09-12T16:00:25.126Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/nimaheidari/,,,,,,,,,True,True,True,True -1e882286-be3e-4d2d-9594-0a5252d1ef91,eva23@schulich.yorku.ca,Wenhui,Ma,https://talenthub.vectorinstitute.ai/profiles/2521134/view_image/1631586274315.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-09-23T12:41:05.138Z,2021-09-23T12:41:05.301Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/wenhui-ma-96ba47220/,,,,,,,,,True,True,True,True -acc31d47-7ac5-4718-92a4-8d997bdc14b8,gurkanwal.arora@gmail.com,Gurkanwal,Arora,https://talenthub.vectorinstitute.ai/profiles/2075023/view_image/profile_pic.jpg,Engineering Intern (EIT),Experienced Engineer with a demonstrated history of working in a client-focused consulting environment and providing innovative solutions to meet client criteria. Currently pursuing a Master of Management in Artificial Intelligence (MMAI) degree to switch my career focus towards technology and innovation.,6479705293,,,,https://www.linkedin.com/in/gurkanwal-arora/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/acc31d47-7ac5-4718-92a4-8d997bdc14b8/resume,Brampton,Ontario,,Canada,,2020-09-22T14:16:27.635Z,2021-01-11T17:47:31.047Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/taha-s-031075135/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management in Artificial Intelligence,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op",,Queen's University,True,True,True,True -50e075e6-fe7e-47e8-8760-480834761c28,mikakochin@keio.jp,Mikako ,Chen,https://talenthub.vectorinstitute.ai/profiles/2077525/view_image/0.jpeg,Master of Management Analytics Candidate,,,,,,https://www.linkedin.com/in/meihuazi-mikako-chen,,True,False,https://canadaai.jobboard.io/api/v1/profiles/50e075e6-fe7e-47e8-8760-480834761c28/resume,,,,Canada,linkedin,2020-09-24T10:56:35.410Z,2020-09-24T17:44:46.495Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mrs.,https://www.linkedin.com/in/meihuazi-mikako-chen/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,Type of Work is More Important to me than Sector,Full Time,,University of Toronto,True,True,True,True -5edf0023-d8b1-4fd0-b1b4-9aec9aa28735,advaya.gupta@mail.utoronto.ca,Advaya,Gupta,https://talenthub.vectorinstitute.ai/profiles/2089873/view_image/0.jpeg,Research Assistant at PAIR Lab and HBSc Computer Science Student at the University of Toronto,"I am a research assistant at PAIR Lab currently working on Hand and Object Pose Estimation and Tracking for Robotic Learning. I am currently in my third year of Bachelor's studies in Computer Science at the University of Toronto, St. George Campus.",4372299323,,https://advayagupta.me,,https://www.linkedin.com/in/advaya-gupta-5a2263151/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5edf0023-d8b1-4fd0-b1b4-9aec9aa28735/resume,Toronto,Ontario,,Canada,linkedin,2020-10-06T20:25:21.329Z,2021-12-02T17:14:17.542Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Animesh Garg,Already Graduated,,Mr.,https://www.linkedin.com/in/advaya-gupta-5a2263151/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science Specialist,Type of Work is More Important to me than Sector,Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Toronto,True,True,True,True -0b7b4ddb-6fd6-4b86-a77e-d8fc91d4ada1,brandonrufino@hotmail.ca,Brandon,Rufino,https://talenthub.vectorinstitute.ai/profiles/2076710/view_image/0.jpeg,MASc Biomedical Engineering | B.Eng Electrical Engineering,"As a first generation student I have had a lot of expectations placed on myself. With that being said, I have thrived and used these expectations as fuel to further my career. I am passionate about using data science and AI techniques to advance the health care field. Most of my work today is dedicated towards completing my thesis which encompasses signal processing, data science, and machine learning. Also, I volunteer at St. Michael's Hospital where I work on clinical NLP models to predict severity scores of multiple sclerosis patients.",4168259194,,,,https://www.linkedin.com/in/brandon-rufino/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0b7b4ddb-6fd6-4b86-a77e-d8fc91d4ada1/resume,Toronto,Ontario,,Canada,linkedin,2020-09-23T20:24:09.252Z,2020-09-23T20:24:09.424Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,MASc student in engineering at the University of Toronto,Mr.,https://www.linkedin.com/in/brandon-rufino/,,Graduate Degree (Masters),Entry Level (0-2 Years),Biomedical Engineering,"Financial Services, Health, Professional Services (e.g Consulting), Technology (Product Development)",Full Time,,University of Toronto,True,True,True,True -4d7c8564-062a-4b57-bcc8-a71975d7166e,moinbag@gmail.com,Moeen,Bagheri,https://talenthub.vectorinstitute.ai/profiles/2069778/view_image/0.jpeg,Data Scientist,Graduated from Ryerson University with a Master of Science in Data Science and Analytics. I enjoy solving problems using machine learning techniques. I am very interested in deep learning models. ,6478222919,,https://github.com/bagherig,,https://www.linkedin.com/in/moeenbagheri/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4d7c8564-062a-4b57-bcc8-a71975d7166e/resume,Toronto,Ontario,,Canada,linkedin,2020-09-19T05:05:48.780Z,2020-09-19T05:25:23.575Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/moeenbagheri/,,Graduate Degree (Masters),Entry Level (0-2 Years),Data Science and Analytics,"Financial Services, Health, Manufacturing , Retail, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship",,Ryerson University,True,False,True,True -c968128b-3203-488e-9b7e-64e2e200f7dd,soufianefadel1@gmail.com,Soufiane,Fadel,https://talenthub.vectorinstitute.ai/profiles/2101739/view_image/photo.png,Data scientist,"I have acquired useful problem-solving skills, and the ability to adapt to new situations and to work on problems I have never seen before, from practicing Olympiad-level mathematical problems. This helped me in all my studies and allowed me to propose novel ideas or more efficient approaches to some problems I faced. -",8193285217,,https://kerasmizer.deuyeh.com/,,https://www.linkedin.com/in/soufiane-fadel/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c968128b-3203-488e-9b7e-64e2e200f7dd/resume,Montreal,Quebec,,Canada,,2020-10-14T16:11:08.783Z,2020-11-02T21:39:50.386Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/soufiane-fadel/,,Graduate Degree (Masters),Entry Level (0-2 Years),Statistics,Technology (Product Development),"Full Time, Internship, Contract",,University of Ottawa,True,True,True,True -6a3fdff7-5d5e-4a88-8163-d3c602f2f314,najihs@schulich.yorku.ca,Najih,Shabir,https://talenthub.vectorinstitute.ai/profiles/1980353/view_image/Najih_DP2_-_Copy.png,Master of Management in Artificial Intelligence Candidate ,,,,,,https://www.linkedin.com/in/najihshabir/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6a3fdff7-5d5e-4a88-8163-d3c602f2f314/resume,Brampton,Ontario,,Canada,,2020-09-17T16:54:34.169Z,2020-09-19T02:52:25.451Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,http://linkedin.com/in/najihshabir,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management in Artificial Intelligence,"Health, Professional Services (e.g Consulting), Retail, Technology (Information and Media)","Full Time, Internship, Contract",,York University,True,True,True,True -d02b231b-869c-4890-a51b-19e49faca301,tewariaakanksha29@gmail.com,Aakanksha,Tewari,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6478644843,,,,,,True,True,,Mississauga,Ontario,,Canada,,2020-09-16T20:42:52.911Z,2021-01-06T20:17:34.444Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,Ontario,Already Graduated,PhD in Computer Engineering (Degree Awarded),Ms.,https://www.linkedin.com/in/aakanksha-tewari-366716113/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Doctorate in Computer Engineering,"Education, Software, Technology (Information and Media), Type of Work is More Important to me than Sector","Full Time, Contract",,Other,True,True,True,True -a1c85a3b-be06-4a5c-b0dc-f3cd18661836,david.w.poon@gmail.com,David,"Poon, PMP®",https://talenthub.vectorinstitute.ai/profiles/1977183/view_image/0.jpeg,,,,,,,,,True,False,,Toronto,Ontario,,Canada,linkedin,2020-09-14T21:27:11.098Z,2020-09-15T13:45:46.159Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/david-poon-pmp%C2%AE-7563977/,,Graduate Degree (Masters),Senior Level (5+ Years),Masters of Management Analytics,"Education, Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Contract, Capstone Project",,Queen's University,True,True,True,True +1ba97f46-ee58-40c8-88c5-5ba9d7275ab2,andro.shah@outlook.com,Andro,"Shah, PMI ACP",https://talenthub.vectorinstitute.ai/profiles/2085660/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-10-02T15:26:18.800Z,2020-10-02T15:26:19.061Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/androshah/,,,,,,,,,True,True,True,True +f659a55e-9167-4363-9bea-b541df158317,ssbclarke@gmail.com,Stephen,Clarke,https://talenthub.vectorinstitute.ai/profiles/2341944/view_image/1575327679789.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-05-02T18:59:13.454Z,2021-05-02T18:59:13.677Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,False,True,True +60591303-9861-44e4-8412-d98ebe75e8df,mustious@gmail.com,Mustapha,Abdullahi Jimoh,https://talenthub.vectorinstitute.ai/profiles/2482876/view_image/1611530273669.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-08-25T20:46:40.992Z,2021-08-25T20:46:41.181Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/mustious/,,,,,,,,,True,True,True,True +36f0776d-61a2-46e3-8973-3fb6f24d177f,sachinvs1738@gmail.com,Sachin,V S,https://talenthub.vectorinstitute.ai/profiles/2382452/view_image/Me_8.jpg,Data Scientist | Graduate Student in Computing,"Hi, +I am a Data Scientist who is spirited about leveraging AI to improve business efficiency, social good, and the consumer product experience. I also enjoy working with a smart, empathetic team and firmly believe that culture indeed eats strategy for breakfast. +What fascinates me is the art of how money and finance works in today's world. My interests include Adversarial Analytics, NLP and Text Mining via Machine Learning/Deep Learning approaches. +I can also be reached at sachin.vs@queensu.ca",+1 (647)-679-9122,,https://www.sachinvs.ml/,,https://www.linkedin.com/in/sachinvs7/,sachinvsAI,True,False,https://canadaai.jobboard.io/api/v1/profiles/36f0776d-61a2-46e3-8973-3fb6f24d177f/resume,,,,Canada,,2021-06-02T13:19:21.605Z,2021-09-09T13:59:57.473Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/sachinvs7,"Adversarial learning, AI safety, Anomaly detection, Data science, Deep learning, Law, ethics and policy, Machine learning, Natural language processing, Optimization, Recommender systems, Representation learning, Self-supervised learning, Time-series forecasting and modelling, Transfer learning, Unsupervised learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),MSc. (Research) in Computing,"Financial Services, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",Queen's University,True,True,True,True +2a01c42f-3fc5-4853-9533-1cfc85f1de35,vincentknguyen@gmail.com,Vincent,Nguyen,https://talenthub.vectorinstitute.ai/profiles/2344262/view_image/1548988084983.jpg,,"Master of Data Science and Artificial Intelligence Candidate at the University of Waterloo, as a Vector Scholarship in Artificial Intelligence Recipient 2021-22. Previously worked as a Senior Actuarial Associate, with 4+ years of experience within the insurance industry. Bilingual (EN/FR).",5142409482,,,,https://www.linkedin.com/in/vincent-nguyen-asa-025837a0,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2a01c42f-3fc5-4853-9533-1cfc85f1de35/resume,Toronto,Ontario,,Canada,,2021-05-04T15:07:01.318Z,2021-09-28T21:40:10.095Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/vincent-nguyen-asa-025837a0,"Bayesian methods, Data science, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Data Science and Artificial Intelligence,"Financial Services, Health, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Internship, Co-op","Data Analyst, Data Scientist, Machine Learning Researcher/Scientist ",University of Waterloo,True,True,True,True +b149649b-696c-41bb-bd47-0abb1fcb8dc2,jain24@uwindsor.ca,Puneet,Jain,https://talenthub.vectorinstitute.ai/profiles/2382434/view_image/IMG_3353.jpg,Student,I am currently studying Master of Computer Science in Artificial Intelligence steam at the University of Windsor. I have an overall professional experience of 3.5 years. I am currently looking for 8 months long co-op position for a Winter 2022 term in the field of Data Analytics or Machine Learning.,,,,,https://www.linkedin.com/in/puneet-jain-987785119/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b149649b-696c-41bb-bd47-0abb1fcb8dc2/resume,,,,,,2021-06-02T13:19:19.645Z,2021-10-24T01:13:27.933Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,http://linkedin.com/in/puneet-jain-987785119,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),MSc Computer Science in Artificial Intelligence,"Construction or Infrastructure, Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Telecommunications, Type of Work is More Important to me than Sector",Co-op,"Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Windsor,True,False,True,True +e936c1f4-08f6-40b2-a35a-10e2915ae99e,teddk@rogers.com,Tedd,Kourkounakis,https://talenthub.vectorinstitute.ai/profiles/2121342/view_image/0.jpeg,,,(416) 356-7008,,,,https://www.linkedin.com/in/teddkourkounakis,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e936c1f4-08f6-40b2-a35a-10e2915ae99e/resume,Toronto,Ontario,,Canada,linkedin,2020-11-03T16:23:54.015Z,2021-04-06T15:16:34.991Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/teddkourkounakis/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Engineering,"Financial Services, Software, Technology (Information and Media), Technology (Product Development)",Full Time,,Queen's University,True,True,True,True +d5ff65c5-4799-4f13-b60c-b3d6705bfa32,jserrame@ryerson.ca,Aira,Serrame,https://talenthub.vectorinstitute.ai/profiles/2344252/view_image/headshot3.jpg,"Biomedical Sciences Recent Grad, Ryerson University",,,,https://github.com/jserrame,,https://www.linkedin.com/in/airaserrame/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d5ff65c5-4799-4f13-b60c-b3d6705bfa32/resume,Toronto,Ontario,,Canada,,2021-05-04T15:06:59.352Z,2021-05-04T18:05:38.686Z,False,False,Recognized Masters Program,Yes,,,Already Graduated,,Ms.,https://www.linkedin.com/in/airaserrame/,"Bioinformatics, Data science, Healthcare and/or medical imaging",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Biomedical Sciences,"Financial Services, Health, Public Administration (i.e Gov't), Retail, Transportation, Type of Work is More Important to me than Sector","Internship, Contract","Data Analyst, Other ",Ryerson University,True,True,True,True +7f4a7788-e42a-4b68-a760-2ea19a9433f3,gracezxh@yahoo.ca,Grace,Zhou,https://talenthub.vectorinstitute.ai/profiles/2382457/view_image/pic.jpg,,,,,,,https://www.linkedin.com/in/connect-gracezhou/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/7f4a7788-e42a-4b68-a760-2ea19a9433f3/resume,Toronto,Ontario,,Canada,,2021-06-02T13:19:21.985Z,2021-06-02T16:02:10.049Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/connect-gracezhou/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Business Analystic,"Financial Services, Health, Retail, Telecommunications",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst",York University,True,False,True,True +a194f281-aeb9-4565-b923-0b7197a4f2fd,mayank31082@gmail.com,Mayank,Mudgal,https://talenthub.vectorinstitute.ai/profiles/2287275/view_image/1614695461222.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-03-25T16:07:06.335Z,2021-06-26T21:55:25.609Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/mmudgal/,,,,,,,,,True,True,True,True +17fde971-6e87-41c1-a99f-e64410f4f91e,tinetendo.runako@gmail.com,Tinetendo,Wamambo,https://talenthub.vectorinstitute.ai/profiles/3024971/view_image/1612543574765.jpeg,Engineering McGill Graduating Student,,5149238960,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/17fde971-6e87-41c1-a99f-e64410f4f91e/resume,Montreal,Quebec,,Canada,linkedin,2022-09-29T15:47:33.864Z,2022-09-29T15:47:34.442Z,False,False,Other Vector Programming,Yes,Other Vector Programming,,Spring/Summer 2023 (April - July),Machine Learning Black and Indigenous Program Fall 2022,Ms.,https://www.linkedin.com/in/tinetendo-wamambo-87a339160/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Chemical Engineering with a minor in Software Engineering,,"Full Time, Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Product/Project Manager",Other,True,True,True,True +8ada16b0-dc4e-4ca5-b7f8-783235231473,ranajay.senapati@hotmail.com,Ranajay,Senapati,https://talenthub.vectorinstitute.ai/profiles/3002335/view_image/1647441642192.jpeg,Data Scientist,,4379701205,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8ada16b0-dc4e-4ca5-b7f8-783235231473/resume,Toronto,Ontario,,Canada,linkedin,2022-09-14T21:46:20.993Z,2022-09-23T14:02:17.145Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/ranajay-senapati/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management in Artificial Intelligence,Type of Work is More Important to me than Sector,"Full Time, Internship, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",York University,True,True,True,True +886075e1-69c0-4ffe-b8eb-f8eb889a3b3d,panshaobo@hotmail.com,Shaobo (Jasper),Pan,https://talenthub.vectorinstitute.ai/profiles/2808792/view_image/1547265320732.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-05-12T16:44:37.861Z,2022-05-12T16:44:38.478Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/shaobo-jasper-pan-0707/,,,,,,,,,True,True,True,True +87802668-dbe1-4d2a-b573-d787c3d91a64,vaikhari20@gmail.com,Sharvari,Dhote,https://talenthub.vectorinstitute.ai/profiles/2147687/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-12-01T16:39:06.340Z,2020-12-02T20:45:56.170Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/sharvaridhote/,,,,,,,,,True,True,True,True +19a42558-fc13-4a52-8f86-ea9f8bf9bc4b,jacob.ewaniuk@queensu.ca,Jacob,Ewaniuk,https://talenthub.vectorinstitute.ai/profiles/2869678/view_image/1598896064185.jpeg,Graduate Student,"Having recently completed a Bachelor of Applied Science degree in Engineering Physics at Queen's University, I have remained at Queen's and continued onto a Master of Applied Science degree also in Engineering Physics. Currently, my research is focused on exploiting purely quantum optical nonlinearities from light-matter interactions to achieve deterministic processing of quantum photonic states.",4167354786,,,,https://www.linkedin.com/in/jacobewaniuk/,jacobewaniuk,True,False,https://canadaai.jobboard.io/api/v1/profiles/19a42558-fc13-4a52-8f86-ea9f8bf9bc4b/resume,Kingston,Ontario,,Canada,linkedin,2022-06-22T16:49:26.898Z,2022-06-22T16:49:27.378Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,Bhavin Shastri,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/jacobewaniuk/,"Deep learning, Physics, Quantum computing",Graduate Degree (Masters),Entry Level (0-2 Years),Engineering Physics,"Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector",Full Time,"Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Other ",Queen's University,True,True,True,True +a3a82f75-a61a-41cc-a12f-4a63997035c0,flora.t.wan@gmail.com,Flora,Wan,https://talenthub.vectorinstitute.ai/profiles/2760793/view_image/headshot_flora_wan.jpg,"Project Manager, Digital Operations and Process Innovation","Flora received an undergraduate degree in Computer Science at Dartmouth College and a Master of Applied Science degree in Human Factors Engineering at the University of Toronto. She has worked at Holland Bloorview Kids Rehabilitation Hospital for over a decade in both the clinical and research organizations. She currently holds the role of Project Manager, Digital Operations and Process Innovation, leading the Research Systems Office at the Bloorview Research Institute. Additionally, she is a faculty member for the American Board of Artificial Intelligence in Medicine review courses and a teaching assistant for several AI courses at the Vector Institute in Toronto.",4168311001,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a3a82f75-a61a-41cc-a12f-4a63997035c0/resume,Toronto,Ontario,,Canada,linkedin,2022-04-08T16:50:13.690Z,2022-06-22T17:43:18.528Z,False,False,Connected to Vector Research,Yes,Other/Unsure,,Already Graduated,Teaching Assistant at several Vector Institute courses,Ms.,https://www.linkedin.com/in/flora-wan/,"Bioinformatics, Data science, Machine learning",Graduate Degree (Masters),Senior Level (5+ Years),Human Factors Engineering,Health,Contract,Other ,University of Toronto,True,True,True,True +09c68a24-5128-4730-a452-8c5e67304794,specialm@schulich.yorku.ca,Matthew,Speciale,https://talenthub.vectorinstitute.ai/profiles/2808545/view_image/57747C0C-2540-42B4-9A79-FB61CFA01B00.jpg,,I am a Masters of Management in Artificial Intelligence graduate with hopes of continuing my career in the field of data science and artificial intelligence. I plan to demonstrate the skills I have developed throughout the program in any future career opportunities.,6479707954,,,,https://www.linkedin.com/in/matthew-speciale/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/09c68a24-5128-4730-a452-8c5e67304794/resume,Vaughan,Ontario,,Canada,,2022-05-12T14:22:38.838Z,2022-06-13T15:34:01.787Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/matthew-speciale/,"Computer vision, Data science, Healthcare and/or medical imaging",Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Management in Artificial Intelligence,"Health, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",York University,True,True,True,True +4dea3995-1f57-4aa7-8b2c-38178f96cb15,ytgary.leung@mail.utoronto.ca,Gary,Leung,https://talenthub.vectorinstitute.ai/profiles/2515998/view_image/gary.jpg,Graduate Researcher,,,,,,https://www.linkedin.com/in/gary-leung3/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4dea3995-1f57-4aa7-8b2c-38178f96cb15/resume,,,,,,2021-09-19T20:18:10.733Z,2021-10-22T03:23:16.449Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Sanja Fidler,Already Graduated,,Mr.,https://www.linkedin.com/in/gary-leung3/,"Computer vision, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,Software,Internship,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,False,True,True +fb04278c-20d1-4db0-be5d-6058ae4f7626,ngezigihe20@hotmail.com,Jean-Paul,"Ngezigihe, CPA",https://talenthub.vectorinstitute.ai/profiles/3016012/view_image/1531581695872.jpeg,,,5146187930,,https://github.com/JeanPaulData/Portfolio,,https://www.linkedin.com/in/jpngezigihe/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/fb04278c-20d1-4db0-be5d-6058ae4f7626/resume,Toronto,Ontario,,Canada,linkedin,2022-09-23T15:31:02.218Z,2022-11-08T17:04:53.187Z,False,False,Other Vector Programming,Yes,Studying in/Graduated from a Recognized Master's Program,Quebec,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/jpngezigihe/,,Graduate Degree (Masters),Mid-Level (3-5 Years),"Master of Information, Data Science","Financial Services, Health, Professional Services (e.g Consulting), Technology (Product Development), Telecommunications, Transportation",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Product/Project Manager",University of Toronto,True,True,True,True +142e112d-2a96-4ac2-845e-8e2b17675ddd,marko.mekjavic@gmail.com,Marko Horatio,Mekjavic,https://talenthub.vectorinstitute.ai/profiles/2978328/view_image/1645908816191.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-08-30T10:02:00.652Z,2022-08-30T10:02:01.242Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com › marko-mekjavic-1872a5136,,,,,,,,,True,True,True,True +f0e646bf-6636-43e0-9b6c-a7d210274d5d,zining@cs.toronto.edu,Zining,Zhu,https://talenthub.vectorinstitute.ai/profiles/1810375/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-06-02T05:17:41.618Z,2022-09-19T23:04:27.809Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/zining-zhu/,,,,,,,,,True,False,True,True +237af47e-89e4-46bf-b2da-b2bc3d5193b1,gian.alix@gmail.com,Gian,Alix,https://talenthub.vectorinstitute.ai/profiles/2374009/view_image/1605850873259.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-05-26T17:11:30.739Z,2022-08-30T01:40:31.827Z,False,False,Vector Scholarship Recipient,Yes,,,,,,https://www.linkedin.com/in/gian-alix/,,,,,,,,,True,True,True,True +895b007a-0e64-4fbe-b2f2-ce3d6cadd5be,faheem.mohammed@ryerson.ca,Faheem,Mohammed Abdul,https://talenthub.vectorinstitute.ai/profiles/2493454/view_image/1599780730095.jpg,Data Scientist,"Experienced and Self-Motivated Data Scientist with 1+ years of professional experience and in-depth knowledge in data warehousing and business intelligence concepts. Strong knowledge in data collection, interpretation, analysis, and data tools to transform it into a useful format providing historical context to support business decision-making. Collected, cleansed, and prepared modeling and analyses of structured and unstructured data used for major business initiatives. Able to manage a heavy workload, follow internal practices and procedures while meeting tight deadlines.",4167169297,,,,,,False,False,https://canadaai.jobboard.io/api/v1/profiles/895b007a-0e64-4fbe-b2f2-ce3d6cadd5be/resume,Toronto,Ontario,,Canada,,2021-09-01T18:38:14.469Z,2023-05-01T21:18:56.894Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/faheemma/,"AI safety, Data science, Machine learning, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),Data Science and Analytics (MSc),Type of Work is More Important to me than Sector,"Full Time, Internship, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True +fc1392f8-f872-4f5e-9af8-b09ae7590621,yuxi11@ualberta.ca,Yuxi,Chen,https://talenthub.vectorinstitute.ai/profiles/3433009/view_image/1609844587283.jpeg,,,5875905179,,,,https://www.linkedin.com/in/yuxichen7890,,True,False,,Waterloo,Ontario,,Canada,linkedin,2023-05-03T19:19:43.855Z,2023-05-03T19:19:44.197Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/yuxichen7890,"Computer vision, Data science, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Science and Artificial Intelligence,"Health, Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Waterloo,True,True,True,True +161653f2-b111-46bc-971d-3aea45e0d14d,erich.m.maclean@gmail.com,Erich,MacLean,https://talenthub.vectorinstitute.ai/profiles/3432811/view_image/1648789066961.jpeg,Technical Specialist and Experienced Supervisor,"Demonstrated proficiency 3D modelling, and programming with professional driving simulator systems as well as collaborating with inter-disciplinary teams. Completed my B.ENG in computer Engineering at the University of Guelph in 2023 and am now working towards my Masters degree. Programming skills include C, Java, JavaScript and Python, as well as Autodesk Inventor and other AutoCAD software such as Solidworks. Experienced technical specialist working with researchers from different disciplines, as well as a strong supervisor with demonstrated customer service strength, working in the retail industry.",5195023623,,https://www.erich-m.tech/,,https://www.linkedin.com/in/erich-maclean-575549193/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/161653f2-b111-46bc-971d-3aea45e0d14d/resume,Waterloo,Ontario,,Canada,linkedin,2023-05-03T17:31:11.328Z,2023-05-03T17:31:11.840Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Other/Undetermined,,Mr.,https://www.linkedin.com/in/erich-maclean-575549193/,"Computer vision, Machine learning, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),Graduated with a Bachelors of Computer Engineering from the University of Guelph (2023). Currently enrolled in a Masters of Science in Engineering with a Collaborative Specialization in AI,"Software, Technology (Product Development), Transportation","Full Time, Internship, Co-op, Contract, Capstone Project","Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Guelph,True,True,True,True +b101332c-837b-4147-a686-a106820015ff,mickell.als03@hotmail.co.uk,Mickell,Als,https://talenthub.vectorinstitute.ai/profiles/3363356/view_image/1675906989250.jpeg,,,,,,,https://www.linkedin.com/in/mickell-als/,,True,False,,,,,,linkedin,2023-03-30T16:06:35.278Z,2023-03-30T16:06:35.687Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/mickell-als/,,,,,,,,,True,True,True,True +6c020b58-d0b2-4241-9664-55b6544ad33b,sabyasachi.patjoshi@caa.columbia.edu,Sabyasachi,Patjoshi,https://talenthub.vectorinstitute.ai/profiles/3422312/view_image/1679787303664.jpeg,,,,,,,https://www.linkedin.com/in/saabe/,,True,False,,,,,,linkedin,2023-04-28T03:09:47.042Z,2023-04-28T03:09:47.433Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/saabe/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Science Computer Science,"Financial Services, Health, Manufacturing , Retail, Telecommunications, Transportation",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",Western University,True,True,True,True +a2a3ffd5-091a-4d9b-bd71-340e7d76ae7a,romniaabadi1994@gmail.com,Romina,Abadi,https://talenthub.vectorinstitute.ai/profiles/3015876/view_image/2020-08-31_22.35.49.jpg,Research Assistant at York University,,6477106774,,,,https://www.linkedin.com/in/romina-abadi/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/a2a3ffd5-091a-4d9b-bd71-340e7d76ae7a/resume,Toronto,Ontario,,Canada,,2022-09-23T13:41:03.391Z,2023-02-16T02:43:50.902Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Ms.,https://www.linkedin.com/in/romina-abadi/,"Adversarial learning, Computer vision, Deep learning",Graduate Degree (Masters),Entry Level (0-2 Years),MSc in Computer Science,"Education, Health, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",York University,True,True,True,True +91aa6b58-1d29-4362-8d80-e867f4f521d4,valrondier@gmail.com,Valerie,Dier,https://talenthub.vectorinstitute.ai/profiles/3390751/view_image/021_Cropped_for_headshot_-_4.jpg,Controls / Automation Engineer,"Chemical engineer with extensive industrial automation experience. Seeking roles to grow expertise in machine learning applicability whether in infrastructure, industry, or business development. + +Actively pursuing learning on various platforms focussing on machine learning, and drawing upon previous engineering experience with an aim to develop strategies and best practices. + +Available in September 2023 with a couple months' notice.",403-404-6407,,,,https://www.linkedin.com/in/valeriedier,,False,False,https://canadaai.jobboard.io/api/v1/profiles/91aa6b58-1d29-4362-8d80-e867f4f521d4/resume,Edmonton,Alberta,,Canada,,2023-04-11T21:46:23.805Z,2023-04-13T20:38:11.344Z,True,False,Other Vector Programming,Yes,Other Vector Programming,,Already Graduated,Caregivers and Machine Learning 2023 cohort,Mrs.,https://www.linkedin.com/in/valeriedier,"AI safety, Data science, Machine learning",Undergraduate Degree (Bachelors),Senior Level (5+ Years),Chemical Engineering,"Education, Manufacturing , Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract, Capstone Project","Data Analyst, Machine Learning Engineer, Other ",Queen's University,True,True,True,True +a6f21e7b-267b-478f-829e-8718bd2e05f4,beigy@sharif.edu,Hamid,Beigy,https://talenthub.vectorinstitute.ai/profiles/3419816/view_image/1655575776213.jpeg,Professor of computer engineering at Sharif University of Technology,"I received my PhD degree in Computer Engineering from Amirkabir University of Technology in 2004. Before that, I received BSc and MSc degrees both in Computer Engineering from Shiraz University in 1992 and 1995, respectively. I joind the department of computer engineering of Sharif university of technology at Sep. 2004. Now, I am a professor in the department of computer engineering at Sharif university of technology. +",+982166166624,,http://sharif.edu/~beigy,,https://www.linkedin.com/in/hamid-beigy-8982604b/,,False,False,,,,,,linkedin,2023-04-26T20:15:05.695Z,2023-04-26T20:17:01.057Z,True,True,Unaffiliated PhD Graduate/Candidate,Yes,Unsure,,Already Graduated,I want to be associated with a Vector Faculty for future research and visiting.,Mr.,https://www.linkedin.com/in/hamid-beigy-8982604b/,"Deep learning, Generative modeling, Machine learning, Natural language processing, Representation learning",Postgraduate Degree (PhD),Senior Level (5+ Years),Machine learning and Deep Learning,"Education, Financial Services","Full Time, Co-op, Contract","Data Scientist, Machine Learning Researcher/Scientist ",Other,True,True,True,True +12e15947-6d93-495f-afbf-8d0cf82f333b,ali.hossam.seif@gmail.com,Ali,Seifeldin,https://talenthub.vectorinstitute.ai/profiles/3449798/view_image/1539364769345.jpeg,,,,,,,https://www.linkedin.com/in/bakalala/,,True,False,,,,,,linkedin,2023-05-12T03:17:24.624Z,2023-05-12T03:17:25.073Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/bakalala/,,,,,,,,,True,False,True,True +422b464f-ea56-425f-9200-3cad98e6d66b,rushilgoomer@gmail.com,Rushil,Goomer,https://talenthub.vectorinstitute.ai/profiles/3456601/view_image/1682491628020.jpeg,,,,,,,https://www.linkedin.com/in/rushilgoomer/,,True,False,,,,,,linkedin,2023-05-15T16:55:19.135Z,2023-05-15T16:55:19.518Z,True,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/rushilgoomer/,,,,,,,,,True,True,True,True +d2f1954e-3c85-4d2b-9fda-5789957f9189,adityaskulkarni23@gmail.com,Aditya,Kulkarni,https://talenthub.vectorinstitute.ai/profiles/3456147/view_image/1666220757892.jpeg,,,,,,,https://www.linkedin.com/in/aditya-s-kulkarni/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d2f1954e-3c85-4d2b-9fda-5789957f9189/resume,Toronto,Ontario,,Canada,linkedin,2023-05-15T13:03:35.595Z,2023-05-15T13:03:36.029Z,True,True,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2024 (April - July),,Mr.,https://www.linkedin.com/in/aditya-s-kulkarni/,"Data science, Machine learning, Optimization",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science,"Education, Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Product/Project Manager",University of Toronto,True,False,True,True +793edf45-4120-4ab0-b0bc-a2501a3bd1ec,pourreza.masoud@gmail.com,Masoud,Pourreza,https://talenthub.vectorinstitute.ai/profiles/2688050/view_image/1545818101038.jpeg,Computer Vision Researcher,"First and foremost, I love writing code. I have been obsessed with the idea of using AI to solve practical problems. AI and especially machine learning is a never-ending puzzle that I am passionately engaged in solving. I believe in the power of programming to transform and improve the lives of people around the world.",4379808334,,,,https://www.linkedin.com/in/masoud-pourreza-4b242452/,,True,False,,London,Ontario,,Canada,linkedin,2022-02-11T22:17:44.355Z,2023-04-20T20:57:42.241Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,My supervisor at Westen University is Profeessor Boyu Wang (A vector Faculty Affiliate),Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/masoud-pourreza-4b242452/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Software, Technology (Product Development)","Full Time, Internship","Machine Learning Engineer, Machine Learning Researcher/Scientist ",Western University,True,True,True,True +7a2c1135-0154-45cc-8bc9-a9e295b196d4,aritroroyarko@gmail.com,Aritro Roy,Arko,https://talenthub.vectorinstitute.ai/profiles/3459674/view_image/1623298101196.jpeg,,,,,,,https://www.linkedin.com/in/aritro-roy-arko-6b2165141/,,True,False,,,,,,linkedin,2023-05-17T04:43:30.769Z,2023-05-17T04:43:31.314Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/aritro-roy-arko-6b2165141/,,,,,,,,,,,, +b4d551ec-bc05-4f2d-8811-af0e4a73f629,xiaozhang20030215@gmail.com,Xiao,Zhang,https://talenthub.vectorinstitute.ai/profiles/3441855/view_image/1626977475939.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-05-08T16:08:58.097Z,2023-05-08T16:08:58.654Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/xiao215/,,,,,,,,,True,True,True,True +4b985d84-671b-40e0-8382-ff28e76ace0c,del.forghani@gmail.com,Delara,Forghani,https://talenthub.vectorinstitute.ai/profiles/3473849/view_image/1683484031834.jpeg,,,,,,,https://www.linkedin.com/in/delaraforghani/,,True,False,,,,,,linkedin,2023-05-23T19:45:08.063Z,2023-05-23T19:45:08.494Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/delaraforghani/,,,,,,,,,True,True,True,True +c698d193-8dff-4258-8b60-3551c9e169db,mohibshirazi21@gmail.com,Mohammad Mohibullah Khan,Shirazi,https://talenthub.vectorinstitute.ai/profiles/3365672/view_image/1516558909270.jpeg,,,,,,,https://www.linkedin.com/in/mmkshirazi/,,False,False,,,,,,linkedin,2023-03-31T16:56:40.654Z,2023-03-31T16:56:41.232Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/mmkshirazi/,"Data science, Machine learning, Optimization",Graduate Degree (Masters),Mid-Level (3-5 Years),MMath Data Science,Type of Work is More Important to me than Sector,Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Waterloo,True,True,True,True +33f859ed-74e4-4d26-bd33-0f4228b032cf,bhsfermy@gmail.com,Yan,Ma,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,True,,,,,,linkedin,2022-09-22T22:23:14.282Z,2022-09-22T22:23:14.863Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/yan-ma-b4b64b211/,,,,,,,,,True,True,True,True +0e5242d1-6800-4854-8591-5362e6894199,chan.kenny.kc@gmail.com,Kenny King-Chung,Chan,https://talenthub.vectorinstitute.ai/profiles/2868414/view_image/1633355936168.jpeg,Intensive Care Consultant,"Dr Kenny Chan is an experienced anaesthesiologist and intensive care doctor. He pioneered multiple areas of health care innovation in Hong Kong, including intensive care informatics, crew resource management training, simulation training, and extracorporeal membrane oxygenation. His passion is boosting patient care standards through innovation and technology. He had served as the founding director of the Nethersole Clinical Simulation & Training Centre, a regional faculty for the American Heart Association's resuscitation training, the first vice-chairman of the Resuscitation Council of Hong Kong, and the chairman of the Hong Kong Society of Critical Care Medicine. He has led the development of a unified ICU clinical information system for all public hospitals in Hong Kong, with more than 20,000 admissions per year. He is venturing into the world of AI in healthcare and exploring new career opportunities.",4165182338,,,,https://linkedin.com/in/kenny-king-chung-chan-215a54220,,False,False,https://canadaai.jobboard.io/api/v1/profiles/0e5242d1-6800-4854-8591-5362e6894199/resume,Toronto,Ontario,,Canada,linkedin,2022-06-21T23:36:35.865Z,2023-02-23T03:39:28.047Z,True,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Fall 2023 (August - November),,Dr.,https://linkedin.com/in/kenny-king-chung-chan-215a54220,"Anomaly detection, Computer vision, Healthcare and/or medical imaging",Graduate Degree (Masters),Senior Level (5+ Years),Master of Management in Artificial Intelligence,"Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Machine Learning Researcher/Scientist , Other ",Queen's University,True,True,True,True +8e6c5a6e-f0a2-4a90-9787-c771497f2ca9,rylee@uoguelph.ca,Rylee,Thompson,https://talenthub.vectorinstitute.ai/profiles/2511305/view_image/1571963673119.jpeg,,"I'm a recent grad seeking full-time employment. I graduated with a MASc degree in Engineering Systems and Computing with a specialization Artificial Intelligence, was advised by Graham W. Taylor, and received the Vector Scholarship in 2021 ($17,500 CAD). During my time at school, I published two first-author papers: one on generating LEGO structures using generative models of graphs (at a NeurIPS 2020 workshop), and another on evaluating graph generative models (at ICLR 2022). I also interned at Apple as a ML researcher where my work focused on applying diffusion models to object detection.",,,,,https://www.linkedin.com/in/rylee-thompson/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/8e6c5a6e-f0a2-4a90-9787-c771497f2ca9/resume,Guelph,Ontario,,Canada,linkedin,2021-09-16T04:53:28.933Z,2023-05-25T18:17:18.102Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,Graham Taylor,Already Graduated,,Mr.,https://www.linkedin.com/in/rylee-thompson/,"Computer vision, Deep learning, Generative modeling, Graphical models, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),"MASc Engineering Systems and Computing, Collaborative Specialization in Artificial Intelligence","Financial Services, Software, Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Data Architect, Data Engineer, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Guelph,True,True,True,True +0b0cd3f2-c794-4f44-86e2-4ceb049e3b4a,ersegun@gmail.com,Ersegun,Kocoglu,https://talenthub.vectorinstitute.ai/profiles/1974067/view_image/Ersegun_Kocoglu_profile_photo.jpg,Director of Product Management and Marketing,"An accomplished product marketing executive with over 20 years of distinguished service in managing product lifecycles and exploring market trends and data sets. Demonstrated expertise in conceptualizing, developing, and executing high-impact strategies to drive revenue growth. Recognized for leading high-performing teams, launching innovative products, driving successful marketing campaigns, and cultivating customer-centric solutions. Skilled in advising executive leadership on digital transformation strategies and enhancing business performance. Proficient in overseeing client satisfaction policies, problem resolution frameworks, requirements documentation, and cross-functional collaborations. Effective communicator adept at fostering strong business relationships and delivering robust solutions across organizations.",6476797871,,,,https://www.linkedin.com/in/ersegun/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/0b0cd3f2-c794-4f44-86e2-4ceb049e3b4a/resume,Toronto,Ontario,,Canada,,2020-09-11T13:47:18.020Z,2023-05-25T17:57:05.375Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/ersegun/,"Natural language processing, Recommender systems, Self-supervised learning",Graduate Degree (Masters),Senior Level (5+ Years),Master of Management in Artificial Intelligence,"Financial Services, Professional Services (e.g Consulting), Retail, Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Contract",Product/Project Manager,York University,True,True,True,True +d20fcc79-ea33-42c1-849b-ed76116dc513,lilliam.norori01@gmail.com,Lilliam,Norori,https://talenthub.vectorinstitute.ai/profiles/3419247/view_image/1646971180365.jpeg,,,,,,,https://www.linkedin.com/in/lnorori/,,True,False,,,,,,linkedin,2023-04-26T14:19:22.492Z,2023-04-26T14:19:22.855Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/lnorori/,,,,,,,,,True,True,True,True +45c9c37d-3dcd-4e3d-b995-e0dc6609e7e3,kyaw.friends@gmail.com,Kyaw Kyaw,Oo,https://talenthub.vectorinstitute.ai/profiles/3235090/view_image/1517684225345.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-01-22T04:41:21.853Z,2023-01-22T04:41:22.287Z,False,False,,,,,,,,,,,,,,,,,True,False,True,True +1724e251-7dc6-43f0-a8ee-21f2fa9a5ec8,lsmartinezru@gmail.com,Samanta,Martínez,https://talenthub.vectorinstitute.ai/profiles/3393028/view_image/1589459384192.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-04-12T20:42:01.321Z,2023-04-12T20:42:01.927Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/zamantamartinez/,,,,,,,,,True,True,True,True +d21a4700-5b0b-4aef-ab71-8e91dd82670a,devipriya.k.raju@gmail.com,Devipriya,Raju,https://talenthub.vectorinstitute.ai/profiles/3042671/view_image/1590673143567.jpeg,Computer Science Masters Student (Already holding a Masters degree in Data Science),,6049707916,,,,https://www.linkedin.com/in/devipriya-raju-2b400923/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/d21a4700-5b0b-4aef-ab71-8e91dd82670a/resume,,,,,linkedin,2022-10-12T13:19:19.749Z,2023-06-12T23:13:57.128Z,False,False,Vector Scholarship Nominee,Yes,Vector Scholarship Recipient,,Winter 2024 (December 2023 - March 2024),"I was a vector scholarship recipient this year. But due to unexpected circumstances, I couldn't choose the university from Ottawa. Hence, I had to cancel the scholarship.",Ms.,https://www.linkedin.com/in/devipriya-raju-2b400923/,"Bioinformatics, Computer vision, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),"I am a Masters graduate in Data Science. Now, I am pursuing my Masters in Computer Science, focusing on AI(Computer Vision and NLP).","Health, Professional Services (e.g Consulting), Software","Internship, Capstone Project","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",Other,True,True,True,True +72619431-123e-4097-b8ac-29e908b7998d,kaileygurleen@gmail.com,Gurleen,Kaur,https://talenthub.vectorinstitute.ai/profiles/3520175/view_image/1635696310553.jpeg,,,,,,,https://www.linkedin.com/in/gurleen-kaur-743564100/,,True,False,,,,,,linkedin,2023-06-13T10:10:10.940Z,2023-06-13T10:10:11.346Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/gurleen-kaur-743564100/,,,,,,,,,True,True,True,True e1498148-b375-474d-9414-0f7459615a39,bpetrie92@gmail.com,Brandon,Petrie,https://talenthub.vectorinstitute.ai/profiles/3543188/view_image/1667393340920.jpeg,,,9059122274,,,,https://www.linkedin.com/in/brandon-petrie-121793249/,,True,False,,,,,Canada,linkedin,2023-06-21T23:14:06.346Z,2023-06-21T23:14:06.776Z,True,True,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/brandon-petrie-121793249/,"Computer vision, Data science, Machine learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Fintech,"Financial Services, Professional Services (e.g Consulting), Technology (Product Development)","Full Time, Internship, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer",University of Toronto,True,True,True,True 7eddff2a-0ba0-4179-82d5-5c5b1440298e,jkueper@uwo.ca,Jaky,Kueper,https://talenthub.vectorinstitute.ai/profiles/2115798/view_image/Fall2020Pic.jpg,PhD in Epidemiology & Computer Science,"I recently completed the first combined PhD in epidemiology and computer science at Western University. My dissertation focused on developing machine learning for primary care research and practice. Moving forward I would like to focus on using ""everyday data"" to support health, with a particular interest in novel methods to understand population health and in tools to support patients during or in-between health care appointments. I am also leading various AI initiatives as the TechForward Fellow at the College of Family Physicians of Canada until December 2023. ",,,,,https://www.linkedin.com/in/jakykueper,jk_kueper,True,False,https://canadaai.jobboard.io/api/v1/profiles/7eddff2a-0ba0-4179-82d5-5c5b1440298e/resume,,,,Canada,,2020-10-29T01:34:57.810Z,2022-09-01T14:19:53.596Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Dan Lizotte,Already Graduated,,Dr.,https://www.linkedin.com/in/jaky-kueper-2a704930/,"Data science, Healthcare and/or medical imaging, Machine learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Epidemiology & Computer Science,Health,"Full Time, Contract","Data Scientist, Machine Learning Researcher/Scientist ",Western University,True,True,True,True 1b3e8737-bf5e-419d-afce-b2b323dee2ee,husseinali.jaafar00@gmail.com,Hussein Ali,Jaafar,https://talenthub.vectorinstitute.ai/profiles/3561012/view_image/1686696328698.jpeg,,,,,,,https://www.linkedin.com/in/hussein-ali-jaafar/,,True,False,,,,,,linkedin,2023-06-28T16:36:25.258Z,2023-06-28T16:36:25.704Z,False,False,Vector Scholarship Recipient,Yes,,,,,,https://www.linkedin.com/in/hussein-ali-jaafar/,,,,,,,,,True,True,True,True 5c2e36e2-0b41-4cbb-a794-725095dd32f3,patrick.hogeveen99@gmail.com,Patrick,Hogeveen,https://talenthub.vectorinstitute.ai/profiles/3561138/view_image/1683560933074.jpeg,,,,,,,https://www.linkedin.com/in/patrick-hogeveen/,,True,False,,,,,,linkedin,2023-06-28T17:22:53.292Z,2023-06-28T17:22:53.668Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/patrick-hogeveen/,,,,,,,,,True,True,True,True 6beed21f-196f-4236-adfe-232e4969cd65,sriramdvt@gmail.com,Sriram,Devata,https://talenthub.vectorinstitute.ai/profiles/3561762/view_image/1636895485272.jpeg,,,,,,,https://www.linkedin.com/in/sriram-devata/,,True,False,,,,,,linkedin,2023-06-28T22:23:20.253Z,2023-06-28T22:23:20.689Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/sriram-devata/,,,,,,,,,True,False,True,True -1f8131b9-69ad-45c5-8cdd-1ea9150d797d,gunjan11@schulich.yorku.ca,Gunjan,Raval,https://talenthub.vectorinstitute.ai/profiles/2960346/view_image/IMG_0438.JPG.jpg,MMAI Candidate at Schulich School of Business Fall'22 | Vector Institute Scholarship recipient | Ex-HDFC Bank Employee,,+17827780301,,,,https://www.linkedin.com/in/gunjan-raval-a73723153,,False,False,https://canadaai.jobboard.io/api/v1/profiles/1f8131b9-69ad-45c5-8cdd-1ea9150d797d/resume,Toronto,Ontario,,Canada,,2022-08-18T20:11:36.579Z,2023-06-28T21:37:07.057Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Spring/Summer 2023 (April - July),,Ms.,https://www.linkedin.com/in/gunjan-raval-a73723153,"Computational biology, Data science, Machine learning, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),Masters of Management in Artificial Intelligence,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media)","Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Scientist, Machine Learning Engineer, Product/Project Manager, Software Engineer",York University,True,True,True,True 8d0d8dd5-fedc-4d79-bfd7-481e83808480,fdaliran@uwo.ca,Farhad,Dalirani,https://talenthub.vectorinstitute.ai/profiles/2504515/view_image/Farhad-Dalirani-Pic-1.jpg,"PhD Student, Western University","I am a passionate computer vision researcher and developer, and I have a strong background in designing and implementing cutting-edge algorithms for analyzing and understanding scenes. My expertise spans various areas, including detection, recognition, tracking, the creation of 3D maps, advanced driver assistance systems (ADAS), and autonomous vehicles. With my experience in utilizing deep learning techniques, I have successfully tackled complex vision problems. My dedication lies in continuously pushing the boundaries of computer vision to enhance real-world applications.",2269988295,,,,https://www.linkedin.com/in/farhad-dalirani/,Farhad_dlrn,False,False,https://canadaai.jobboard.io/api/v1/profiles/8d0d8dd5-fedc-4d79-bfd7-481e83808480/resume,London,Ontario,,Canada,,2021-09-10T17:42:58.872Z,2023-06-28T13:35:12.029Z,True,False,Recognized Masters Program,Yes,Other Vector Programming,,Winter 2024 (December 2023 - March 2024),I am a PhD student in Western University.,Mr.,https://www.linkedin.com/in/farhad-dalirani/,"Computer vision, Deep learning, Robotics, Self-supervised learning, Transfer learning, Unsupervised learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science,"Manufacturing , Software, Technology (Information and Media), Technology (Product Development), Transportation","Full Time, Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",Western University,True,True,True,True 682cdef2-5064-48ed-a556-2ee95cb743e5,manasjoshi59@gmail.com,Manas,Joshi,https://talenthub.vectorinstitute.ai/profiles/2804140/view_image/Headshot-16.jpg,"Passionate about Project Management - AI , Computer Vision | MMA'23 at Rotman School of Management, University of Toronto | Providing customised AI solution to business problems.","Experienced and self-motivated professional with 5+ years of expertise in project management, research and development, process development, and product design. Proven track record in delivering complex projects on time and within budget. Proficient in data science and computer vision, with a data-driven approach to problem-solving and developing innovative solutions. Continuously seeking to expand skills and knowledge to stay at the forefront of the field.",6476746728,,,,https://www.linkedin.com/in/manasjoshi59/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/682cdef2-5064-48ed-a556-2ee95cb743e5/resume,,,,,linkedin,2022-05-10T04:16:46.078Z,2023-06-14T22:57:19.866Z,True,True,Recognized Masters Program,Yes,Vector Scholarship Nominee,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/manasjoshi59/,"Computer vision, Deep learning, Generative modeling",Graduate Degree (Masters),Senior Level (5+ Years),Masters of Management in Analytics,"Financial Services, Health, Retail, Technology (Information and Media), Technology (Product Development)","Full Time, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",University of Toronto,True,True,True,True -7b09f6de-6218-4d2a-8dfc-566a4b235503,romina@cs.toronto.edu,Romina,Abachi,https://talenthub.vectorinstitute.ai/profiles/2641681/view_image/Romina_3.jpg,"PhD student with experience in reinforcement learning and deep learning algorithms and their applications in industrial domains, additional background in power systems, utilitites, and electronics.",,,,,,https://www.linkedin.com/in/romina-abachi/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/7b09f6de-6218-4d2a-8dfc-566a4b235503/resume,Toronto,Ontario,,Canada,,2022-01-08T16:33:39.738Z,2023-07-02T02:53:26.797Z,True,True,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,"Sheila McIlraith, Amir-massoud Farahmand",Other/Undetermined,,Ms.,https://www.linkedin.com/in/romina-abachi-44915bbb/,"Anomaly detection, Data science, Deep learning, Machine learning, Natural language processing, Reinforcement learning, Robotics, Time-series forecasting and modelling",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science,Type of Work is More Important to me than Sector,"Full Time, Internship, Contract","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,False,True,True -a3a232e0-1e99-41f7-8c09-880de67cd23f,le.alex.chang@gmail.com,Alex,Chang,https://talenthub.vectorinstitute.ai/profiles/1552669/view_image/DSC09125_2.jpg,MSc Student in Machine Learning,,8193290222,,,,https://www.linkedin.com/in/alex-chang-9a3919139/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/a3a232e0-1e99-41f7-8c09-880de67cd23f/resume,Toronto,Ontario,,Canada,linkedin,2019-12-04T19:27:14.918Z,2023-07-02T07:17:17.919Z,True,True,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Anna Goldenberg,Already Graduated,,Mr.,https://www.linkedin.com/in/alex-chang-9a3919139/,"Anomaly detection, Computer vision, Data science, Deep learning, Fairness, Generative modeling",Graduate Degree (Masters),Entry Level (0-2 Years),MSc in Computer Science,"Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True -76cb894f-32fb-49c1-b5c4-0837cc413a8c,santoshi@yorku.ca,Santoshi,Tadanki,https://talenthub.vectorinstitute.ai/profiles/3091123/view_image/2023_RBC-0803.jpg,"A data scientist with a keen interest in humanizing technology and creating an impact. A passionate educator, vocalist and vegan.",,+1 4375568618,,,,https://www.linkedin.com/in/santoshi-sneha-tadanki-b4a465143/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/76cb894f-32fb-49c1-b5c4-0837cc413a8c/resume,Toronto,Prince Edward Island,,Canada,,2022-10-24T17:12:14.760Z,2023-06-30T05:00:10.196Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Spring/Summer 2023 (April - July),,Ms.,https://www.linkedin.com/in/santoshi-sneha-tadanki-b4a465143/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management in Artificial Intelligence (MMAI),"Education, Financial Services, Health, Public Administration (i.e Gov't), Retail, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Product/Project Manager",York University,True,True,True,True -6bfc1240-f12d-4d6f-9711-947773b822ad,felicity_zhu@outlook.com,Huiyun,Zhu,https://talenthub.vectorinstitute.ai/profiles/3568740/view_image/CV_Picture.jpeg,"Experienced Buiness Analyst & Strategist, MBAN at Schulich","5+ years‘ experience in Business Analytics and Digital Strategies in the e-commerce and marketing research industry. Searching for a job as a data scientist in the tech industry. -Recently entering the study in MBAN: data science esp. machine learning. -Proficient in data analytics, digital products and project management.",4376737812,,,,https://www.linkedin.com/in/felicity-zhu-1b36b5275,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6bfc1240-f12d-4d6f-9711-947773b822ad/resume,Toronto,Ontario,,Canada,linkedin,2023-07-01T16:05:20.306Z,2023-07-01T16:05:20.718Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2024 (April - July),,Miss.,https://www.linkedin.com/in/felicity-zhu-1b36b5275,"Data science, Machine learning, Unsupervised learning",Graduate Degree (Masters),Senior Level (5+ Years),Master of Business Analytics,"Financial Services, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Scientist",York University,True,False,True,True -f1d8652e-8a4d-45d2-aeef-d9c2a901fbab,hana98torabi@gmail.com,Hananeh,Torabi ghazvini,https://talenthub.vectorinstitute.ai/profiles/3166565/view_image/h.jpg,,,,,,,https://www.linkedin.com/in/HanaTorabi,,False,False,https://canadaai.jobboard.io/api/v1/profiles/f1d8652e-8a4d-45d2-aeef-d9c2a901fbab/resume,Toronto,Ontario,,Canada,,2022-12-05T16:52:57.074Z,2023-02-12T17:12:13.775Z,True,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,,Spring/Summer 2023 (April - July),,Ms.,https://www.linkedin.com/in/hana-torabi-b250ba1b7/,"Data science, Deep learning, Generative modeling, Machine learning, Natural language processing, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),master of computer science at Dalhousie university,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True -8260590e-7fda-4bb5-a27a-5f246267a136,dhruvindankhara@gmail.com,Dhruvin,Dankhara,https://talenthub.vectorinstitute.ai/profiles/3053090/view_image/1583329400524.jpeg,Research Assistant at the University of Guelph,,+14379886732,,,,https://www.linkedin.com/in/dhruvindankhara,,False,False,https://canadaai.jobboard.io/api/v1/profiles/8260590e-7fda-4bb5-a27a-5f246267a136/resume,Guelph,Ontario,,Canada,linkedin,2022-10-19T12:53:16.974Z,2023-01-12T17:13:52.208Z,True,True,Recognized Masters Program,Yes,Other Vector Programming,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/dhruvindankhara/,"Computer vision, Data science, Deep learning, Few-shot learning, Interpretability, Machine learning, Natural language processing, Optimization, Physics, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),"Master of Applied Science, Engineering",Type of Work is More Important to me than Sector,"Full Time, Internship, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Guelph,True,False,True,True -6aeab4f1-52f7-4e69-ada4-1476705ec270,frankniujc@gmail.com,Jingcheng,Niu,https://talenthub.vectorinstitute.ai/profiles/3284319/view_image/1673651015266.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-02-20T01:39:21.639Z,2023-02-20T01:39:22.133Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/jingcheng-niu-983b9bb4/?originalSubdomain=ca,,,,,,,,,True,True,True,True -76e104ec-3014-497e-be0d-76c4bfc40f72,pouyafir.eng@gmail.com,Adrian (Pouya),Firouzmakan,https://talenthub.vectorinstitute.ai/profiles/3227483/view_image/1667862083580.jpeg,,,,,,,,,False,False,,,,,,linkedin,2023-01-17T18:20:07.703Z,2023-01-17T18:20:08.156Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/adrian-pouya-firouzmakan-838879108/,,,,,,,,,True,True,True,True -da214120-522b-409f-b51f-c5f3ca3c62d2,mkadem@uwo.ca,Mason,Kadem ,https://talenthub.vectorinstitute.ai/profiles/3229425/view_image/1605746286883.jpeg,Researcher,"I'm a deep tech executive, computer science professor, neuroscientist, biomedical engineer and serial entrepreneur with a passion for leading research innovations. My eclectic training background combines hardware+software expertise, multimodality imaging, machine learning, statistics, university/college teaching and business accumen. I've taught statistics, ML, computer science, physiology and engineering to 1000s of students with a mission to engage and foster students that can think critically about the world around them. I have deep domain expertise in cardiovascular and cerebrovascular hemodynamics, pupil dynamics, machine learning, cognitive/visual/auditory neuroscience, and medicine. I have PhD training (Vanier Nominee) from McMaster + MASc training in biomedical engineering from the Faculty of Engineering, McMaster University, with MSc of neuroscience training from the Brain and Mind Institute, Western University and machine learning training from the University of Oxford.",2262242455,,http://MasonKadem.GitHub.io,,https://www.linkedin.com/in/Mkadem,Masonkadem,False,False,https://canadaai.jobboard.io/api/v1/profiles/da214120-522b-409f-b51f-c5f3ca3c62d2/resume,Hamilton,Ontario,,Canada,linkedin,2023-01-18T16:06:21.134Z,2023-01-18T20:43:38.722Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Dr. Baraa Al-Khazraji,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/Mkadem,"Data science, Interpretability, Machine learning",Graduate Degree (Masters),Senior Level (5+ Years),Biomedical engineering (machine learning) + Neuroscience (cognition),,"Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",McMaster University,True,True,True,True -538f9724-17a1-46b1-8fdc-46f90a67e2c7,mitanshu.khurana@rotman.utoronto.ca,Mitanshu,Khurana,https://talenthub.vectorinstitute.ai/profiles/3010871/view_image/Mitanshu_Khurana.JPG,,,4379885959,,,,https://www.linkedin.com/in/mitanshu-khurana/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/538f9724-17a1-46b1-8fdc-46f90a67e2c7/resume,Toronto,Ontario,,Canada,,2022-09-20T15:14:34.463Z,2023-01-19T12:58:17.807Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/mitanshu-khurana/,"Data science, Machine learning, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management Analytics,"Education, Financial Services, Health, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer",University of Toronto,True,True,True,True -00289523-27d5-4751-a400-976ceefae77e,21lt23@queensu.ca,Lei,Tang,https://talenthub.vectorinstitute.ai/profiles/3229755/view_image/Profile_pic_-_Jeremy_-_square.jpg,"FRM, CIA, MBA","• FRM & CIA holder | candidate of Queen’s MMA program & CFA level 3 -• Well-versed knowledge of Mathematics and Analytics -• Solid understanding of financial modelling, fixed income analysis, and investment analysis -• Ability to see underlying trends in data quickly and able to present them in a concise manner -• Experience in SQL, strong knowledge of Python and analytics modelling -• Experienced professional who can multitask excellently under tremendous pressure -• Proficient in Excel and other MS Office apps (PowerPoint, Outlook, Visio) -• Motivated fast learner with excellent communication skills and the ability to adapt quickly +b4ba298a-34e5-406f-a9c6-52f5aca0160b,farshid.faal@gmail.com,Farshid,Faal,https://talenthub.vectorinstitute.ai/profiles/3335556/view_image/1666712347959.jpeg,,"• Ph.D. in computer science focused on machine learning and natural language processing +with 7+ years of industry experience working as a senior data scientist, machine learning +specialist, and software engineer within the Canadian industry. +• 5+ years of industry experience in conversational AI, natural language processing, and +graph machine learning using PyTorch and TensorFlow frameworks. +• 5+ years of industry development experience in end-to-end machine-learning model creation +and execution, with core software engineering skills. +",,,,,https://www.linkedin.com/in/farshidfaal/,,False,False,,,,,,linkedin,2023-03-17T18:52:52.571Z,2023-03-29T19:55:28.566Z,True,True,Unaffiliated PhD Graduate/Candidate,Yes,Unsure,,Already Graduated,,Mr.,https://www.linkedin.com/in/farshidfaal/,"AI safety, Anomaly detection, Data science, Deep learning, Fairness, Few-shot learning, Generative modeling, Machine learning, Natural language processing, Reinforcement learning, Representation learning, Self-supervised learning, Transfer learning, Unsupervised learning",Postgraduate Degree (PhD),Senior Level (5+ Years),"Computer Science (NLP, ML)",,Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True +c290459f-af49-4668-abf8-72d645286aa2,rqaiser@uwaterloo.ca,Rameesha,Qaiser,https://talenthub.vectorinstitute.ai/profiles/3446420/view_image/1666674333640.jpeg,,,,,,,https://www.linkedin.com/in/rameesha-qaiser/,,True,False,,,,,,linkedin,2023-05-10T14:02:37.922Z,2023-05-10T14:02:38.295Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/rameesha-qaiser/,,,,,,,,,True,True,True,True +dce2646e-5b52-407f-8f59-da569c587710,viethuy2108@gmail.com,Gia Viet Huy,Nguyen,https://talenthub.vectorinstitute.ai/profiles/3012982/view_image/1590531523334.jpeg,,,,,http://jhnthenewbie.com,,https://www.linkedin.com/in/huy-nguyen-04782414a/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/dce2646e-5b52-407f-8f59-da569c587710/resume,Toronto,Ontario,,Canada,linkedin,2022-09-21T18:57:29.003Z,2023-01-12T21:54:20.729Z,True,False,Recognized Masters Program,Yes,Unsure,Toronto Metropolitan University,Spring/Summer 2023 (April - July),Studied at Toronto Metropolitan University (Ryerson) and got connected to Vector,Mr.,https://www.linkedin.com/in/huy-nguyen-04782414a/,"Data science, Deep learning, Machine learning, Privacy, anonymity, and/or security",Graduate Degree (Masters),Entry Level (0-2 Years),Data Science and Analytic,"Financial Services, Professional Services (e.g Consulting), Retail, Technology (Information and Media), Technology (Product Development)","Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",Ryerson University,True,False,True,True +48e22ead-a5be-4fc1-a774-a07a42cabed9,jpzhou01@gmail.com,Jin,Zhou,https://talenthub.vectorinstitute.ai/profiles/2110693/view_image/us_visa.jpg,Computer Science PhD student at Cornell University,"I am a second-year CS PhD student at Cornell University interested in machine learning. I graduated with a Bachelor's degree from University of Toronto studying Engineering Science Machine Intelligence option. I did my undergraduate thesis on theorem induction at Vector Institute with Prof. Roger Grosse. In my PEY, I interned at Google as a software engineer and worked at Layer6 AI as a machine learning researcher on recommender system. I was also a visiting student at MIT in summer 2019 working on developing efficient machine learning algorithms for eye tracking on embedded devices. In prior summer, I worked on recommender systems at the Data-Driven Decision Making Lab at University of Toronto.",,,https://scholar.google.com/citations?user=Nf48jqcAAAAJ&hl=en&oi=sra,,https://www.linkedin.com/in/jinpeng-zhou/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/48e22ead-a5be-4fc1-a774-a07a42cabed9/resume,Toronto,Ontario,,Canada,,2020-10-23T13:10:35.171Z,2023-05-29T20:58:23.659Z,True,True,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Roger Grosse,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/jinpeng-zhou/,"Adversarial learning, Deep learning, Natural language processing, Recommender systems",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Engineering Science Machine Intelligence option,Type of Work is More Important to me than Sector,"Internship, Co-op","Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +875da165-5c76-49df-a334-527fddfc9298,wu.rupert@outlook.com,Robert,Wu,https://talenthub.vectorinstitute.ai/profiles/2504476/view_image/rupert-lilac-square.png,ML Researcher,,6479751178,,https://www.cs.toronto.edu/~rupert/,,https://www.linkedin.com/in/wu-robert/,rhubarbwu,False,False,https://canadaai.jobboard.io/api/v1/profiles/875da165-5c76-49df-a334-527fddfc9298/resume,Toronto,Ontario,,Canada,,2021-09-10T17:42:52.789Z,2023-05-09T09:58:56.184Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Vardan Papyan,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/wu-robert/,"Meta-learning, Natural language processing, Statistical learning theory",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Construction or Infrastructure, Health, Software, Technology (Information and Media), Telecommunications, Transportation","Full Time, Internship, Co-op, Contract, Capstone Project","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,False,True,True +1d90f1df-1397-4e6c-9eb2-7901ef9691c6,mohammadmahdiabdollahpoor@gmail.com,Mohammad Mahdi,Abdollah Pour,https://talenthub.vectorinstitute.ai/profiles/3019677/view_image/1642089445800.jpeg,Graduate Student at University of Toronto | ML | NLP,"I’m Mahdi, a graduate student at University of Toronto. I am working on Controllable Text Generation at D3M lab at UofT.",4168937863,,https://mahdiabdollahpour.github.io/,,https://www.linkedin.com/in/mohammad-mahdi-abdollah-pour-a48b008b/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/1d90f1df-1397-4e6c-9eb2-7901ef9691c6/resume,Toronto,Ontario,,Canada,linkedin,2022-09-26T13:35:35.689Z,2023-01-05T18:03:53.691Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Scott Sanner,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/mohammad-mahdi-abdollah-pour-a48b008b/,"Machine learning, Natural language processing, Self-supervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Masters,"Financial Services, Retail, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +842e6e3b-bd8b-45c4-a11c-47c2281048e8,chadyang.hc@gmail.com,Chad,Yang,https://talenthub.vectorinstitute.ai/profiles/3020519/view_image/1572832270932.jpeg,"Ph.D Graduate @NTHU (EE) | Seeking AI/ML R&D Position | Speech, Health Informatics, IOT","I am a Ph.D. graduate from Dept. Electrical Engineering of the National Tsing Hua University (NTHU), Taiwan. I have 5+ years of experience studying affective computing using signal processing and machine learning. I co-led our lab's Health Informatics Group studying Dementia using MRI and Cardiovascular Diseases using ECG. Besides, I also lead two enterprise cooperation projects on speech processing and fake news retrieval. + +Professional Interests: ++ Affective Computing (Emotion/Personality) ++ Health Informatics ++ Computational Neuroscience + +In the past few years toward Ph.D, I have participated in the following fields: ++ Physiological Signals (ECG,EDA,EEG) ++ Speech Processing (Denoise / Dereverberation / Content classification) ++ Medical Images (sMRI/fMRI, Alzheimer Research) ++ Multi-Modal Behavioral Modeling (speech / face / pose / wearables) ++ Image / Video Retrieval ++ E-Commerce + +and skilled at: ++ Programming: Python, Matlab, Bash ++ Data Science: Numpy, Pandas, Matplotlib, Shapley Analysis ++ ML/DL: Scikit-Learn, Pytorch, Tensorflow, Keras ++ MLops: MLflow, W&B ++ DevOps: CI/CD, Git, Docker ++ Microservice Architect & Development: AWS, GCP ++ Frameworks: Graph Neural Network (GNN), Generative Adversarial Network (GAN), Transformer",+886968833251,,https://chadhgy.github.io/,,https://www.linkedin.com/in/chad-yang/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/842e6e3b-bd8b-45c4-a11c-47c2281048e8/resume,,,,Taiwan,linkedin,2022-09-27T01:19:29.850Z,2022-09-30T05:34:22.475Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,II'm from foreign country (Taiwan).,Dr.,https://www.linkedin.com/in/chad-yang/,"Deep learning, Graphical models, Healthcare and/or medical imaging",Postgraduate Degree (PhD),Entry Level (0-2 Years),Electrical Engineering,"Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development), Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True +76cb894f-32fb-49c1-b5c4-0837cc413a8c,santoshi@yorku.ca,Santoshi,Tadanki,https://talenthub.vectorinstitute.ai/profiles/3091123/view_image/2023_RBC-0803.jpg,"A data scientist with a keen interest in humanizing technology and creating an impact. A passionate educator, vocalist and vegan.",,+1 4375568618,,,,https://www.linkedin.com/in/santoshi-sneha-tadanki-b4a465143/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/76cb894f-32fb-49c1-b5c4-0837cc413a8c/resume,Toronto,Prince Edward Island,,Canada,,2022-10-24T17:12:14.760Z,2023-07-11T17:24:29.128Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Spring/Summer 2023 (April - July),,Ms.,https://www.linkedin.com/in/santoshi-sneha-tadanki-b4a465143/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management in Artificial Intelligence (MMAI),"Education, Financial Services, Health, Public Administration (i.e Gov't), Retail, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Product/Project Manager",York University,True,True,True,True +6bfc1240-f12d-4d6f-9711-947773b822ad,felicity_zhu@outlook.com,Huiyun,Zhu,https://talenthub.vectorinstitute.ai/profiles/3568740/view_image/CV_Picture.jpeg,"Experienced Buiness Analyst & Strategist, MBAN at Schulich","5+ years‘ experience in Business Analytics and Digital Strategies in the e-commerce and marketing research industry. Searching for a job as a data scientist in the tech industry. +Recently entering the study in MBAN: data science esp. machine learning. +Proficient in data analytics, digital products and project management.",4376737812,,,,https://www.linkedin.com/in/felicity-zhu-1b36b5275,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6bfc1240-f12d-4d6f-9711-947773b822ad/resume,Toronto,Ontario,,Canada,linkedin,2023-07-01T16:05:20.306Z,2023-07-01T16:05:20.718Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2024 (April - July),,Miss.,https://www.linkedin.com/in/felicity-zhu-1b36b5275,"Data science, Machine learning, Unsupervised learning",Graduate Degree (Masters),Senior Level (5+ Years),Master of Business Analytics,"Financial Services, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Scientist",York University,True,False,True,True +fbb3918c-7fca-4659-a675-8dbe32e80613,deetsadi@gmail.com,Aditya,Sridhar,https://talenthub.vectorinstitute.ai/profiles/3576726/view_image/1631114274321.jpeg,,,,,,,https://www.linkedin.com/in/adityasridhar1/,,False,False,,,,,,linkedin,2023-07-04T22:56:33.018Z,2023-07-04T22:56:33.407Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/adityasridhar1/,,,,,,,,,True,False,True,True +1f8131b9-69ad-45c5-8cdd-1ea9150d797d,gunjan11@schulich.yorku.ca,Gunjan,Raval,https://talenthub.vectorinstitute.ai/profiles/2960346/view_image/IMG_0438.JPG.jpg,MMAI Candidate at Schulich School of Business Fall'22 | Vector Institute Scholarship recipient | Ex-HDFC Bank Employee,,+17827780301,,,,https://www.linkedin.com/in/gunjan-raval-a73723153,,False,False,https://canadaai.jobboard.io/api/v1/profiles/1f8131b9-69ad-45c5-8cdd-1ea9150d797d/resume,Toronto,Ontario,,Canada,,2022-08-18T20:11:36.579Z,2023-06-29T17:05:55.623Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Spring/Summer 2023 (April - July),,Ms.,https://www.linkedin.com/in/gunjan-raval-a73723153,"Computational biology, Data science, Machine learning, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),Masters of Management in Artificial Intelligence,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media)","Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Scientist, Machine Learning Engineer, Product/Project Manager, Software Engineer",York University,True,True,True,True +f330ea95-e93a-4d6e-8ca1-3a146be905f3,sufia.amtul@gmail.com,Amtul,Sufia,https://talenthub.vectorinstitute.ai/profiles/3579793/view_image/1680706657809.jpeg,"AI/ML & Data Analytics Professional | Strong Data Analysis & Reporting | Python, Power BI | Web Development | Pursuing SQL & Power BI Certs | Masters in Computational Sciences with ML & Data Analytics","With over 6 years of experience as a computer science professional, I have developed a strong skillset in machine learning and data analysis. I am a goal-oriented collaborator who excels as both an independent worker and as part of a team. My excellent communication skills and ability to grasp new concepts quickly allow me to meet competing deadlines in challenging environments. + +My educational background includes a Masters in Computational Sciences with ML & Data Analytics Specialization from Laurentian University and a Masters in Computer Science & Engineering from Jawaharlal Nehru Technological University. Through my coursework, I have developed strong coding skills in Python, experience with data mining techniques, and the ability to create prediction models. I have also performed statistical analysis and created interactive dashboards working with MS-Excel, and developed Machine Learning models using MATLAB and Python Programming for AI/ML & Deep Learning coursework. + +My work experience includes a Part-time Copy & Print Representative position at Staples, where I processed customer orders with efficiency and accuracy while prioritizing operational excellence and customer experience. As an Intern at Grey-Box, I worked as a Project Coordinator and Implementer, where I researched and gathered suitable high-ranking scientific and educational articles for translation, used translation tools like DeepL, Google Translate, and other comparison platforms to manage several sets of inputs to Grey-Box’s machine learning translator, and used AI/ML and Deep Neural Networks to train the ML translator prototype on various distinct languages, increasing its throughput by 65% using data cleaning techniques. ",7059886582,,,,https://www.linkedin.com/in/amtul-sufia,,True,False,,,,,,linkedin,2023-07-06T00:31:26.351Z,2023-07-06T00:31:26.714Z,True,True,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mrs.,https://www.linkedin.com/in/amtul-sufia,"Data science, Machine learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computational Sciences,,"Full Time, Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer",Laurentian University,True,False,True,True +c16146ab-1e0e-4108-91be-c9fa47ca42a9,lluyao.li@rotman.utoronto.ca,Luyao,Li,https://talenthub.vectorinstitute.ai/profiles/3010831/view_image/9C1D4C92-E8BC-458F-9F92-493EDE37DEF1.jpeg,Data Analyst,"Masters candidate possessing a passion for the data analytics field. Good at collecting, organizing, and analyzing data to provide valuable solutions to business problems.",6472992150,,,,https://www.linkedin.com/in/luyao-li,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c16146ab-1e0e-4108-91be-c9fa47ca42a9/resume,Toronto,Ontario,,Canada,,2022-09-20T15:13:22.964Z,2022-09-21T20:11:21.680Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Ms.,http://linkedin.com/in/luyao-li,"Data science, Optimization, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),Management Analytics,"Financial Services, Retail, Telecommunications",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",University of Toronto,True,True,True,True +ba19045e-fe26-422f-9107-6a224154d3e3,xinman.liu@mail.utoronto.ca,Xinman,Liu,https://talenthub.vectorinstitute.ai/profiles/3212138/view_image/1666997966312.jpeg,Graduate Student,"I am currently a graduate student at the University of Toronto. My research interest lies in the machine learning area, especially natural language processing and recommendation system. I am aiming to become an applied researcher working in the industry in the future.",4162195517,,,,https://www.linkedin.com/in/xinman-liu-blair,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ba19045e-fe26-422f-9107-6a224154d3e3/resume,Toronto,Ontario,,Canada,linkedin,2023-01-07T20:56:07.345Z,2023-01-07T20:56:07.678Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Winter 2024 (December 2023 - March 2024),,Miss.,https://www.linkedin.com/in/xinman-liu-blair,"Machine learning, Natural language processing, Recommender systems",Graduate Degree (Masters),Entry Level (0-2 Years),MSc in Applied Computing,Type of Work is More Important to me than Sector,Internship,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,False,True,True +00d658a3-8842-42da-b5b5-5e2b6c08456d,eptehal99@hotmail.com,Eptehal,Nashnoush,https://talenthub.vectorinstitute.ai/profiles/2781511/view_image/1585334239584.jpeg,,,,,https://scholar.google.ca/citations?user=L7ld6LkAAAAJ&hl=en,,https://www.linkedin.com/in/eptehalnashnoush/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/00d658a3-8842-42da-b5b5-5e2b6c08456d/resume,,,,,linkedin,2022-04-23T21:35:55.597Z,2022-12-09T00:50:21.145Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Fall 2023 (August - November),,Ms.,https://www.linkedin.com/in/eptehalnashnoush/,"Bayesian methods, Bioinformatics, Computer vision, Data science, Deep learning, Healthcare and/or medical imaging, Machine learning, Natural language processing, Optimization, Quantum computing, Recommender systems, Reinforcement learning, Statistical learning theory, Time-series forecasting and modelling, Unsupervised learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,"Health, Software, Technology (Product Development)","Full Time, Internship, Co-op, Contract","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",University of Toronto,True,False,True,True +b92c480c-12d3-4101-b110-23a74515fea6,elkhan@unist.ac.kr,Elkhan,Ismayilzada,https://talenthub.vectorinstitute.ai/profiles/3046122/view_image/elkan.jpg,,,,,https://elkhanzada.github.io/,,https://www.linkedin.com/in/elkhanzada/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b92c480c-12d3-4101-b110-23a74515fea6/resume,,,,,,2022-10-14T14:39:58.937Z,2022-10-17T15:41:11.216Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Nominee,,Spring/Summer 2024 (April - July),Vector Scholarship Nominee,Mr.,https://www.linkedin.com/in/elkhanzada/,"Computer vision, Deep learning, Machine learning",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Computer Science and Engineering,Type of Work is More Important to me than Sector,"Full Time, Contract","Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",Other,True,False,True,True +43bd78c4-bddb-4d2b-89f2-f0f7ebdb9363,mina.mirjalili@mail.utoronto.ca,Mina,Mirjalili,https://talenthub.vectorinstitute.ai/profiles/2382488/view_image/1622516129915.jpeg,,,,,,,https://www.linkedin.com/in/mina-mir/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/43bd78c4-bddb-4d2b-89f2-f0f7ebdb9363/resume,Toronto,Ontario,,Canada,linkedin,2021-06-02T13:41:25.356Z,2022-09-23T14:00:36.648Z,False,False,Connected to Vector Research,Yes,Post Graduate Affiliate,,Fall 2022 (August - November),,Ms.,https://www.linkedin.com/in/mina-mir/,,Graduate Degree (Masters),Mid-Level (3-5 Years),PhD,"Financial Services, Health, Professional Services (e.g Consulting)",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +7b09f6de-6218-4d2a-8dfc-566a4b235503,romina@cs.toronto.edu,Romina,Abachi,https://talenthub.vectorinstitute.ai/profiles/2641681/view_image/Romina_3.jpg,"PhD student with experience in reinforcement learning and deep learning algorithms and their applications in industrial domains, additional background in power systems, utilitites, and electronics.",,,,,,https://www.linkedin.com/in/romina-abachi/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/7b09f6de-6218-4d2a-8dfc-566a4b235503/resume,Toronto,Ontario,,Canada,,2022-01-08T16:33:39.738Z,2023-07-02T12:45:21.214Z,True,True,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,"Sheila McIlraith, Amir-massoud Farahmand",Other/Undetermined,,Ms.,https://www.linkedin.com/in/romina-abachi-44915bbb/,"Anomaly detection, Data science, Deep learning, Machine learning, Natural language processing, Reinforcement learning, Robotics, Time-series forecasting and modelling",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science,Type of Work is More Important to me than Sector,"Full Time, Internship, Contract","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,False,True,True +e32f7ba6-8be6-4e16-9841-d8fd3783cd49,bt.asadi05@gmail.com,Behnam,Asadi,https://talenthub.vectorinstitute.ai/profiles/1966766/view_image/myphoto.png,,,4162006580,,,,https://www.linkedin.com/in/benasadi/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/e32f7ba6-8be6-4e16-9841-d8fd3783cd49/resume,Toronto,Ontario,,Canada,,2020-09-04T14:57:47.972Z,2023-07-15T01:38:20.922Z,True,True,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Hui Jiang,Already Graduated,,Mr.,https://www.linkedin.com/in/benasadi/,,Graduate Degree (Masters),Mid-Level (3-5 Years),M.Sc in Computer Science,Type of Work is More Important to me than Sector,"Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",York University,True,True,True,True +ffbff11c-b13e-4ae1-9a5c-77624b495abf,anika.sultana@mail.utoronto.ca,Anika,Sultana,https://talenthub.vectorinstitute.ai/profiles/3594004/view_image/1662674616289.jpeg,Computer Science @ UofT ,"My name is Anika (Uh-nee-ka) and I am entering my final year as a Computer Science student at UofT. I have always been a curious person and have had a lot of internship/co-op experience in Software Development and now have decided that I want to also learn about AI/ML. +Please do not hesitate to reach out to me for a coffee chat! ",6473899976,,,,https://www.linkedin.com/in/anika-sultana-2629379b/,,False,False,,Toronto,Ontario,,Canada,linkedin,2023-07-11T13:22:18.449Z,2023-07-11T15:18:09.725Z,True,True,Not Affiliated with Vector,No,Unsure,,Fall 2024 (August - November),IIt is my first time applying to become a member at Vector,Miss.,https://www.linkedin.com/in/anika-sultana-2629379b/,"Machine learning, Natural language processing, Quantum computing",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science - Specialist in Software Engineering (Co-op),"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project","Data Engineer, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True +8eab41ce-a489-4181-900e-f1a604aa6854,geraldowens380@gmail.com,Favour Ernest,THE_AI_FuTuRE,https://talenthub.vectorinstitute.ai/profiles/3589840/view_image/1686149517874.jpeg,,,,,,,https://www.linkedin.com/in/favour-ernest-the-ai-future-91389926a/,,True,False,,,,,,linkedin,2023-07-10T08:33:13.377Z,2023-07-10T08:33:13.782Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/favour-ernest-the-ai-future-91389926a/,,,,,,,,,True,True,True,True +a3a232e0-1e99-41f7-8c09-880de67cd23f,le.alex.chang@gmail.com,Alex,Chang,https://talenthub.vectorinstitute.ai/profiles/1552669/view_image/DSC09125_2.jpg,MSc Student in Machine Learning,,8193290222,,,,https://www.linkedin.com/in/alex-chang-9a3919139/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/a3a232e0-1e99-41f7-8c09-880de67cd23f/resume,Toronto,Ontario,,Canada,linkedin,2019-12-04T19:27:14.918Z,2023-07-12T21:11:45.504Z,True,True,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Anna Goldenberg,Already Graduated,,Mr.,https://www.linkedin.com/in/alex-chang-9a3919139/,"Anomaly detection, Computer vision, Data science, Deep learning, Fairness, Generative modeling",Graduate Degree (Masters),Entry Level (0-2 Years),MSc in Computer Science,"Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True +f1d8652e-8a4d-45d2-aeef-d9c2a901fbab,hana98torabi@gmail.com,Hananeh,Torabi ghazvini,https://talenthub.vectorinstitute.ai/profiles/3166565/view_image/h.jpg,,,,,,,https://www.linkedin.com/in/HanaTorabi,,False,False,https://canadaai.jobboard.io/api/v1/profiles/f1d8652e-8a4d-45d2-aeef-d9c2a901fbab/resume,Toronto,Ontario,,Canada,,2022-12-05T16:52:57.074Z,2023-02-12T17:12:13.775Z,True,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,,Spring/Summer 2023 (April - July),,Ms.,https://www.linkedin.com/in/hana-torabi-b250ba1b7/,"Data science, Deep learning, Generative modeling, Machine learning, Natural language processing, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),master of computer science at Dalhousie university,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True +8260590e-7fda-4bb5-a27a-5f246267a136,dhruvindankhara@gmail.com,Dhruvin,Dankhara,https://talenthub.vectorinstitute.ai/profiles/3053090/view_image/1583329400524.jpeg,Research Assistant at the University of Guelph,,+14379886732,,,,https://www.linkedin.com/in/dhruvindankhara,,False,False,https://canadaai.jobboard.io/api/v1/profiles/8260590e-7fda-4bb5-a27a-5f246267a136/resume,Guelph,Ontario,,Canada,linkedin,2022-10-19T12:53:16.974Z,2023-01-12T17:13:52.208Z,True,True,Recognized Masters Program,Yes,Other Vector Programming,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/dhruvindankhara/,"Computer vision, Data science, Deep learning, Few-shot learning, Interpretability, Machine learning, Natural language processing, Optimization, Physics, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),"Master of Applied Science, Engineering",Type of Work is More Important to me than Sector,"Full Time, Internship, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Guelph,True,False,True,True +6aeab4f1-52f7-4e69-ada4-1476705ec270,frankniujc@gmail.com,Jingcheng,Niu,https://talenthub.vectorinstitute.ai/profiles/3284319/view_image/1673651015266.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-02-20T01:39:21.639Z,2023-02-20T01:39:22.133Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/jingcheng-niu-983b9bb4/?originalSubdomain=ca,,,,,,,,,True,True,True,True +76e104ec-3014-497e-be0d-76c4bfc40f72,pouyafir.eng@gmail.com,Adrian (Pouya),Firouzmakan,https://talenthub.vectorinstitute.ai/profiles/3227483/view_image/1667862083580.jpeg,,,,,,,,,False,False,,,,,,linkedin,2023-01-17T18:20:07.703Z,2023-01-17T18:20:08.156Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/adrian-pouya-firouzmakan-838879108/,,,,,,,,,True,True,True,True +da214120-522b-409f-b51f-c5f3ca3c62d2,mkadem@uwo.ca,Mason,Kadem ,https://talenthub.vectorinstitute.ai/profiles/3229425/view_image/1605746286883.jpeg,Researcher,"I'm a deep tech executive, computer science professor, neuroscientist, biomedical engineer and serial entrepreneur with a passion for leading research innovations. My eclectic training background combines hardware+software expertise, multimodality imaging, machine learning, statistics, university/college teaching and business accumen. I've taught statistics, ML, computer science, physiology and engineering to 1000s of students with a mission to engage and foster students that can think critically about the world around them. I have deep domain expertise in cardiovascular and cerebrovascular hemodynamics, pupil dynamics, machine learning, cognitive/visual/auditory neuroscience, and medicine. I have PhD training (Vanier Nominee) from McMaster + MASc training in biomedical engineering from the Faculty of Engineering, McMaster University, with MSc of neuroscience training from the Brain and Mind Institute, Western University and machine learning training from the University of Oxford.",2262242455,,http://MasonKadem.GitHub.io,,https://www.linkedin.com/in/Mkadem,Masonkadem,False,False,https://canadaai.jobboard.io/api/v1/profiles/da214120-522b-409f-b51f-c5f3ca3c62d2/resume,Hamilton,Ontario,,Canada,linkedin,2023-01-18T16:06:21.134Z,2023-01-18T20:43:38.722Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Dr. Baraa Al-Khazraji,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/Mkadem,"Data science, Interpretability, Machine learning",Graduate Degree (Masters),Senior Level (5+ Years),Biomedical engineering (machine learning) + Neuroscience (cognition),,"Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",McMaster University,True,True,True,True +538f9724-17a1-46b1-8fdc-46f90a67e2c7,mitanshu.khurana@rotman.utoronto.ca,Mitanshu,Khurana,https://talenthub.vectorinstitute.ai/profiles/3010871/view_image/Mitanshu_Khurana.JPG,,,4379885959,,,,https://www.linkedin.com/in/mitanshu-khurana/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/538f9724-17a1-46b1-8fdc-46f90a67e2c7/resume,Toronto,Ontario,,Canada,,2022-09-20T15:14:34.463Z,2023-01-19T12:58:17.807Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/mitanshu-khurana/,"Data science, Machine learning, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management Analytics,"Education, Financial Services, Health, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer",University of Toronto,True,True,True,True +00289523-27d5-4751-a400-976ceefae77e,21lt23@queensu.ca,Lei,Tang,https://talenthub.vectorinstitute.ai/profiles/3229755/view_image/Profile_pic_-_Jeremy_-_square.jpg,"FRM, CIA, MBA","• FRM & CIA holder | candidate of Queen’s MMA program & CFA level 3 +• Well-versed knowledge of Mathematics and Analytics +• Solid understanding of financial modelling, fixed income analysis, and investment analysis +• Ability to see underlying trends in data quickly and able to present them in a concise manner +• Experience in SQL, strong knowledge of Python and analytics modelling +• Experienced professional who can multitask excellently under tremendous pressure +• Proficient in Excel and other MS Office apps (PowerPoint, Outlook, Visio) +• Motivated fast learner with excellent communication skills and the ability to adapt quickly • Fluent in English and Mandarin",6473898253,,,,https://www.linkedin.com/in/jeremy-financial,,False,False,,Toronto,Ontario,,Canada,,2023-01-18T19:02:58.735Z,2023-01-19T17:10:03.308Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Spring/Summer 2023 (April - July),,Mr.,www.linkedin.com/in/jeremy-financial,,Graduate Degree (Masters),Mid-Level (3-5 Years),Management Analytics,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Telecommunications, Transportation, Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst",Queen's University,True,False,True,True b2597cec-0c3b-4dd6-8939-4f15be8e6c12,cheng.chi9948@gmail.com,Cheng,Chi,https://talenthub.vectorinstitute.ai/profiles/3277687/view_image/IMG_7825.JPG,"Quantitative researcher, Data analyst, Reinforcement learning researcher",,6479780624,,,,https://www.linkedin.com/in/cheng-chi-2a603823b,,False,False,https://canadaai.jobboard.io/api/v1/profiles/b2597cec-0c3b-4dd6-8939-4f15be8e6c12/resume,Toronto,Ontario,,Canada,linkedin,2023-02-15T18:36:28.866Z,2023-02-16T15:59:29.025Z,True,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Elias Khalil,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/cheng-chi-2a603823b,"Data science, Machine learning, Optimization, Reinforcement learning, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),Artificial intelligence,"Financial Services, Professional Services (e.g Consulting), Software",Full Time,"Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",University of Toronto,True,True,True,True cf6993e1-2f18-4f2d-af4b-f0f0593eb640,yuep@myumanitoba.ca,Maxwell,Yue,https://talenthub.vectorinstitute.ai/profiles/3263390/view_image/1649573804102.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-02-07T20:58:20.427Z,2023-02-07T20:58:21.035Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/maxwell-yue-037016212/?originalSubdomain=ca,,,,,,,,,True,True,True,True 40a025af-6ac3-4bc0-a373-9c8ec8cad131,mani.sotoodeh@gmail.com,Mani,Sotoodeh,https://talenthub.vectorinstitute.ai/profiles/2361171/view_image/1542425832343.jpeg,Machine Learning Researcher,"Experienced Research Assistant with a demonstrated history of working in the higher education industry. Skilled in Machine Learning, Data Mining, Graphical Models, and Algorithms. Strong research professional working toward a Doctor of Philosophy (Ph.D.) focused on Computer Science from Emory University.",5144420552,,https://manisci.github.io,,https://www.linkedin.com/in/mani-sotoodeh-bb079082,SotoodehMani,False,False,https://canadaai.jobboard.io/api/v1/profiles/40a025af-6ac3-4bc0-a373-9c8ec8cad131/resume,Montreal,Quebec,,Canada,linkedin,2021-05-17T14:19:05.343Z,2023-02-08T03:10:46.040Z,True,True,Unaffiliated PhD Graduate/Candidate,Yes,Unsure,,Already Graduated,,Dr.,https://www.linkedin.com/in/mani-sotoodeh-bb079082,"Data science, Healthcare and/or medical imaging, Unsupervised learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science,"Software, Technology (Information and Media)",Full Time,"Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True -bca0b6df-157b-4e6f-a7e0-85bf695baa7d,imranalnahdy30@gmail.com,Imran,Al-Nahdy,https://talenthub.vectorinstitute.ai/profiles/3010841/view_image/IMG_3412.jpg,MBAI Student,I am a master of business analytics and AI student from OntarioTechU. I am capable of working effectively in any group size and work well around deadlines. I enjoy playing soccer during the summer and usually find myself in the mountains snowboarding in the winter. I am passionate about technology and consistently look to understand and use the cutting edge.,6475759840,,,,https://www.linkedin.com/in/imran-al-nahdy-20b473182/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/bca0b6df-157b-4e6f-a7e0-85bf695baa7d/resume,Toronto,Ontario,,Canada,,2022-09-20T15:13:52.051Z,2022-12-24T01:05:01.440Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/imran-al-nahdy-20b473182/,"Data science, Fairness, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),First year,,"Full Time, Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Researcher/Scientist ",OntarioTech University,True,True,True,True -d7daa283-a8e6-4735-afab-d462e2de4e77,thomasjiralerspong@gmail.com,Thomas,Jiralerspong,https://talenthub.vectorinstitute.ai/profiles/3173300/view_image/professional_picture.jpg,Experienced Undergraduate Researcher,"I am a last year undergraduate student at McGill University in Honours Computer Science. I have previous research experience as an undergraduate researcher with Professor Doina Precup and Professor Blake Richards, and as a machine learning research intern at the Vector Institute. I also have previous software development experience as an intern at Amazon, Expedia, and Square Enix",5146259308,,https://superkaiba.github.io,,https://www.linkedin.com/in/thomas-jiralerspong/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/d7daa283-a8e6-4735-afab-d462e2de4e77/resume,Montreal,Quebec,,Canada,,2022-12-10T00:14:42.082Z,2022-12-10T00:14:42.120Z,True,True,Internal Staff,Yes,Other Vector Programming,,Spring/Summer 2023 (April - July),Machine Learning Intern,Mr.,https://www.linkedin.com/in/thomas-jiralerspong/,"Natural language processing, Reinforcement learning, Representation learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Honours Computer Science,Type of Work is More Important to me than Sector,"Internship, Co-op","Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True 17622d31-098a-4e22-bbbf-88ce2090344b,quanglinhmarcus@gmail.com,Linh,Tran,https://talenthub.vectorinstitute.ai/profiles/3172427/view_image/1530981768351.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-12-09T09:17:23.268Z,2022-12-09T09:17:23.684Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,False,True,True 275ffcca-c726-4e3a-9333-66d5ce8f981c,tataganesh95@gmail.com,Tata,Ganesh,https://talenthub.vectorinstitute.ai/profiles/3343543/view_image/1670374663361.jpeg,,,7806951695,,,,https://www.linkedin.com/in/tata-ganesh/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/275ffcca-c726-4e3a-9333-66d5ce8f981c/resume,Edmonton,Alberta,,Canada,linkedin,2023-03-21T19:46:06.581Z,2023-03-22T13:32:05.406Z,True,True,Not Affiliated with Vector,No,Unsure,,Spring/Summer 2023 (April - July),AMII,Mr.,https://www.linkedin.com/in/tata-ganesh/,"Computer vision, Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Masters in Computing Science,,"Full Time, Internship","Data Scientist, Machine Learning Engineer",Other,True,False,True,True 0aab29d4-5ce1-4e7f-b61f-0b7359e9dd55,mk29cse@gmail.com,Mayank,Kumar,https://talenthub.vectorinstitute.ai/profiles/3342866/view_image/1594211788107.jpeg,,,,,,,https://www.linkedin.com/in/mayank9/,,True,False,,,,,,linkedin,2023-03-21T14:05:11.113Z,2023-03-21T14:05:12.005Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/mayank9/,,,,,,,,,True,False,True,True -c647a5ca-48a7-4f72-a05d-ec08ab63175c,igofman99@gmail.com,Ilan,Gofman,https://talenthub.vectorinstitute.ai/profiles/2994399/view_image/linkedinprofile.jpeg,Graduate Student at the University of Toronto,,6138050488,,,,https://www.linkedin.com/in/ilan-gofman/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/c647a5ca-48a7-4f72-a05d-ec08ab63175c/resume,,,,,,2022-09-09T12:59:56.029Z,2022-12-08T20:05:48.239Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/ilan-gofman/,"Data science, Deep learning, Healthcare and/or medical imaging",Graduate Degree (Masters),Entry Level (0-2 Years),"MSc Applied Computing, Artificial Intelligence","Education, Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development)","Internship, Co-op, Contract","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True 55e97bf3-7c1b-4610-9468-4f244a19f38b,mihir12@yorku.ca,Mihir,Jha,https://talenthub.vectorinstitute.ai/profiles/2997390/view_image/DSC01009__01__01__01__01__1_.jpg,"MBAN Candidate At Schulich School of Business, Canada.","After having extensive experience in entrepreneurship, building Products, and being an educator, I am currently enrolled as a full-time MBAN student at the Schulich School of Business, Canada. My work revolves around building machine learning models and demystifying business problems through SQL. A good sense of business understanding and a logical approach to problems are my guiding tool on the path and have helped me to naturally navigate the field of Analytics. @@ -2840,12 +2864,6 @@ fc0be141-b544-4e64-80a4-89ae4248ad3f,pooya.farrokhi@gmail.com,Pooya,Farrokhi,htt 494f20e4-f278-43a4-b389-afef89a0b9df,k.sebastian@queensu.ca,Kathleen,Sebastian,https://talenthub.vectorinstitute.ai/profiles/3007874/view_image/1662225092692.jpeg,,,4373311784,,,,https://www.linkedin.com/in/kathleen-sebastian/,,False,False,,Toronto,Ontario,,Canada,linkedin,2022-09-18T22:15:31.731Z,2023-02-24T17:49:04.095Z,True,True,Internal Staff,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Miss.,https://www.linkedin.com/in/kathleen-sebastian/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management in Artificial Intelligence,"Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Product/Project Manager",Queen's University,True,True,True,True ac34f2cf-0c1a-4643-82b1-3fa7ca6cfbb7,dev.zarnasharma@gmail.com,Zarna,Grundy,https://talenthub.vectorinstitute.ai/profiles/3397569/view_image/1602944901386.jpeg,Web & iOS Developer,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ac34f2cf-0c1a-4643-82b1-3fa7ca6cfbb7/resume,Barrie,Ontario,,Canada,linkedin,2023-04-15T00:01:58.278Z,2023-04-15T00:01:58.718Z,True,False,Other Vector Programming,Yes,Other Vector Programming,,Already Graduated,Caregivers and Machine Learning student,Mrs.,https://www.linkedin.com/in/zarnasharma/,,Graduate Degree (Masters),Senior Level (5+ Years),Neurobiology (Life Sciences),"Education, Financial Services, Health, Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Engineer, Machine Learning Engineer, Software Engineer",Other,True,True,True,True 3c92f717-94c9-47c4-b8ef-536bd2c631e5,youssef.mousa@outlook.fr,Youssef,Mousaaid,https://talenthub.vectorinstitute.ai/profiles/3402111/view_image/1665885552832.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-04-17T16:41:43.390Z,2023-04-17T16:41:43.816Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/youssef-mousaaid-54221619a/,,,,,,,,,True,False,True,True -8d53b121-0398-4a7c-a45c-7e610cc5a22d,mfitumukiza@protonmail.com,Richard,Mfitumukiza,https://talenthub.vectorinstitute.ai/profiles/2684704/view_image/1516436268663.jpeg,Data scientist | Software engineer | Project manager,"Machine learning engineer with a degree in Computer Science and professional experience. -I specialize in Natural Language Processing (NLP), the field in which I published the ground breaking research paper “Intelligent Spam Filtration based on SMS Linguistics”. -I solve complex business problems like demand forecast, customer segmentation, demand forecast and investment strategies using my extensive knowledge in meticulous data cleaning, advanced statistical analysis and robust ML model development. -My latest work consisted of analyzing and visualizing time series sales data in order to advise on customer segmentation and marketing campaign effectiveness. More of my projects can be found in my portfolio. -My domains of interest includes Healthcare data and Medical literature, marketing strategies, business operational efficiency, financial analysis. -",5195514898,,https://github.com/richardmfitumukiza,,https://www.linkedin.com/in/richardmfitumukiza/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/8d53b121-0398-4a7c-a45c-7e610cc5a22d/resume,Windsor,Ontario,,Canada,,2022-02-09T17:47:11.895Z,2023-04-24T02:21:23.406Z,True,True,Connected to Vector Research,Yes,Other Vector Programming,,Winter 2023 (December 2022 - March 2023),Machine Learning Internship B&I Program,Mr.,https://www.linkedin.com/in/richardmfitumukiza/,"Bioinformatics, Data science, Deep learning, Fairness, Graphical models, Healthcare and/or medical imaging, Natural language processing",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Bachelor of Computer Science,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Windsor,True,True,True,True a0634762-89a4-4301-8044-0486cfe9f447,pankti0919@gmail.com,Pankti,Shah,https://talenthub.vectorinstitute.ai/profiles/3410829/view_image/1672461595134.jpeg,,,,,,,https://www.linkedin.com/in/pankti-shah-9b2314166/,,True,False,,,,,,linkedin,2023-04-21T17:56:17.449Z,2023-04-21T17:56:17.842Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/pankti-shah-9b2314166/,,,,,,,,,True,True,True,True 48536d8d-d5ab-46a4-9301-76656d5c66e8,setor.amuzu@mail.mcgill.ca,Setor,Amuzu,https://talenthub.vectorinstitute.ai/profiles/2684709/view_image/linkedin1__3_.jpg,Bioinformatics & Data Science,"Meticulous data professional with nearly 10 years of training and experience performing data-related tasks in biomedical research environments. Actively seeking opportunities in bioinformatics, computational biology, or healthcare analytics & data science.",5144047674,,,,https://www.linkedin.com/in/setoramuzu,,False,False,https://canadaai.jobboard.io/api/v1/profiles/48536d8d-d5ab-46a4-9301-76656d5c66e8/resume,Montreal,Quebec,,Canada,,2022-02-09T17:47:14.370Z,2023-04-11T14:40:53.677Z,True,True,Connected to Vector Research,Yes,Other/Unsure,,Already Graduated,Vector Introduction to Machine Learning course participant,Dr.,www.linkedin.com/in/setoramuzu,"Bioinformatics, Computational biology, Healthcare and/or medical imaging",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Human Genetics and Bioinformatics,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Product Development)","Full Time, Internship, Contract","Data Analyst, Data Scientist",Other,True,True,True,True 435552b1-5ce8-4656-99ae-016f829745fb,matic.dunja@gmail.com,Dunja,Matic,https://talenthub.vectorinstitute.ai/profiles/3390972/view_image/1600122379878.jpeg,,,,,,,,,True,False,,,,,,linkedin,2023-04-12T02:02:23.841Z,2023-04-12T02:02:24.225Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/dunja-matic-2b8981156/,,,,,,,,,True,False,True,True @@ -2856,6 +2874,51 @@ d8af7650-c47c-4598-8fcd-d9a8115bb232,zeyadghulam@gmail.com,Zeyad,Ghulam,https:// 6c2798b5-7c37-4e78-9c11-5f9ed374f1ad,shreyasajitrajendran@gmail.com,Shreyas,Keelary,https://talenthub.vectorinstitute.ai/profiles/3364049/view_image/1554730762598.jpeg,,,,,,,https://www.linkedin.com/in/shreyasajitkeelary/,,True,False,,,,,,linkedin,2023-03-31T01:20:02.300Z,2023-03-31T01:20:03.216Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/shreyasajitkeelary/,,,,,,,,,True,True,True,True c477591b-c5ce-4317-b85c-f20f64e15f79,mugireddy.1975@gmail.com,Jyothiraditya,Mugireddy,https://talenthub.vectorinstitute.ai/profiles/3411702/view_image/1650974266543.jpeg,,,,,,,https://www.linkedin.com/in/jyothiraditya-mugireddy/,its_AdityAA,False,False,https://canadaai.jobboard.io/api/v1/profiles/c477591b-c5ce-4317-b85c-f20f64e15f79/resume,,,,,linkedin,2023-04-22T10:46:16.885Z,2023-04-25T23:25:57.475Z,True,True,Vector Scholarship Nominee,Yes,Vector Scholarship Nominee,,Fall 2024 (August - November),,Mr.,https://www.linkedin.com/in/jyothiraditya-mugireddy/,"Data science, Healthcare and/or medical imaging, Reinforcement learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Analytics: Artificial Intelligence Specialization,"Financial Services, Health, Manufacturing , Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer",Western University,True,True,True,True 618e60ce-7c1f-414e-8e22-0153c0c260ea,subikshaprakash99@outlook.com,Subiksha,Prakash,https://talenthub.vectorinstitute.ai/profiles/2785094/view_image/Headshot-1.jpg,Data Scientist,Rotman Master of Management Analytics candidate with two years of experience in product development. Motivated by the curiosity to learn how technology coupled with data analytics transforms business innovation of today and tomorrow. Passionate about constructing a simple solution life cycle to complex end user problems. ,4162941840,,,,https://www.linkedin.com/in/subiksha-prakash/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/618e60ce-7c1f-414e-8e22-0153c0c260ea/resume,Toronto,Ontario,,Canada,linkedin,2022-04-26T11:39:24.292Z,2023-04-26T21:33:35.102Z,True,True,Vector Scholarship Recipient,Yes,Studying in/Graduated from a Recognized Master's Program,Choose,Spring/Summer 2023 (April - July),,Ms.,https://www.linkedin.com/in/subiksha-prakash/,"Data science, Machine learning, Natural language processing, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,"Financial Services, Technology (Product Development)",Full Time,"Data Analyst, Data Scientist, Machine Learning Engineer, Product/Project Manager",University of Toronto,True,False,True,True +4ddbf6aa-a434-4901-bbee-32b6226deb73,janebroomfield42@gmail.com,Jane,Broomfield,https://talenthub.vectorinstitute.ai/profiles/3395678/view_image/me_jb.jpg,Experienced IT Professional,"When it comes to my work, my strength is being able to gather information, analyze and digest it and then, provide answers and solutions for all types of requests and problems which are realistic. sustainable and understandable by all. + +The following skills allow me to fill many roles in an organisation: +- requirement gathering and refinement (pre and post-sales), +- solution/application/system architecture +- software engineering, +- DevOps and task automation, +- software engineering, +- ETL solutions, +- data science tasks, including data analysis, reporting, and dashboards, +- resolve system outages and other user Incidents to get the business working again, +- provide user support and training, (first, and second-level support) +- business process analysis and design +- team lead + +I also manage day-to-day tasks, such as server and application patching and making sure everything is running as efficiently as possible.",,,,,https://www.linkedin.com/in/jane-broomfield-2760002/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/4ddbf6aa-a434-4901-bbee-32b6226deb73/resume,Vancouver,British Columbia,,Canada,linkedin,2023-04-14T03:07:48.810Z,2023-05-17T15:01:45.324Z,True,False,Other Vector Programming,Yes,Other Vector Programming,,Already Graduated,Caregivers and Machine Learning,Ms.,https://www.linkedin.com/in/jane-broomfield-2760002/,,Undergraduate Degree (Bachelors),Senior Level (5+ Years),"University of Essex, Cell/Cellular and Molecular Biology","Education, Health, Professional Services (e.g Consulting), Software, Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True +3a881e91-c3f8-4b61-bac3-81a589e3b370,sadiya.afrin1@g.bracu.ac.bd,Sadiya,Afrin,https://talenthub.vectorinstitute.ai/profiles/3490609/view_image/1624388551220.jpeg,,,,,,,https://www.linkedin.com/in/sadiyaafrin21,,False,False,https://canadaai.jobboard.io/api/v1/profiles/3a881e91-c3f8-4b61-bac3-81a589e3b370/resume,,,,,linkedin,2023-05-31T16:05:19.568Z,2023-05-31T16:05:19.988Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Winter 2025 (December 2024 - March 2025),,Ms.,https://www.linkedin.com/in/sadiyaafrin21,"AI safety, Privacy, anonymity, and/or security",Graduate Degree (Masters),Entry Level (0-2 Years),IT Security,,"Full Time, Internship",Other ,OntarioTech University,True,True,True,True +b1b37d8b-883e-465a-a3fa-c1d510564505,muzammil.m.elahi@gmail.com,Muzammil,Elahi,https://talenthub.vectorinstitute.ai/profiles/2496303/view_image/1516071317391.jpeg,Developer/Analyst | Msc Student @ Ryerson,"Growth-oriented Computer Science graduate with a curiosity and passion for Data Science and Software Engineering. Looking to learn new things while adding value to your firm. Open to anything (software dev, DevOps, analyst, etc.) +Hobbies Include fitness, basketball, Video games, and watching sitcoms.",6475508213,,,,https://www.linkedin.com/in/muzammil-elahi/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/b1b37d8b-883e-465a-a3fa-c1d510564505/resume,Mississauga,Ontario,,Canada,linkedin,2021-09-03T23:15:00.792Z,2023-05-13T23:31:07.971Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/muzammil-elahi/,"Data science, Interpretability, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Data Science & Analytics,"Financial Services, Health, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",Ryerson University,True,True,True,True +b504dbc2-4d4a-4209-88ad-88d1c082cb3d,dhrun.lauwers@gmail.com,Dhrun,Lauwers,https://talenthub.vectorinstitute.ai/profiles/1972987/view_image/0.jpeg,Data Science Manager,Young team lead with a diverse background and hands-on experience building and deploying technology solutions for large enterprises.,,,,,https://linkedin.com/in/dhrunlauwers,,False,False,,Toronto,Ontario,,Canada,linkedin,2020-09-10T14:41:44.519Z,2023-01-12T13:36:48.267Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/dhrunlauwers/,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Management in Artificial Intelligence,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Product Development)","Full Time, Contract",,York University,True,True,True,True +edb8cb2c-720e-4f16-9933-3d609813cb1b,shaiyank@yorku.ca,Shaiyan,Keshvari,https://talenthub.vectorinstitute.ai/profiles/2216706/view_image/1393010100.jpg,Postdoctoral Researcher,"I am currently a postdoctoral researcher at York University, where I work to bring together mathematical and machine learning methods with behavioral and neuroscientific data to better our understanding of the mind. I am also recently applying this work to improve robustness in deep learning. Visit my personal site at www.shaiyan.com.",2149081332,,http://www.shaiyan.com,,https://www.linkedin.com/in/shaiyankeshvari/,,False,False,,Toronto,Ontario,,Canada,,2021-02-03T16:21:53.209Z,2023-05-25T19:36:08.844Z,True,True,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,James Elder,Already Graduated,,Dr.,https://www.linkedin.com/in/shaiyankeshvari/,"Bayesian methods, Computer vision, Neuroscience",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Brain and Cognitive Sciences,"Education, Technology (Product Development)",Full Time,"Machine Learning Researcher/Scientist , Other ",Other,True,True,True,True +a9e36468-f62c-4109-8bd9-8c1b8f1e031a,ruemutamiri@gmail.com,Rutendo,Shamuyarira,https://talenthub.vectorinstitute.ai/profiles/2801252/view_image/profile.png,Data Scientist,,+263774821157,,,,https://www.linkedin.com/in/rueshamuyarira/,Tendow77,False,False,https://canadaai.jobboard.io/api/v1/profiles/a9e36468-f62c-4109-8bd9-8c1b8f1e031a/resume,,,,,,2022-05-08T00:55:36.113Z,2023-05-25T17:51:32.046Z,True,True,Connected to Vector Research,Yes,Other Vector Programming,,Already Graduated,Mothers in Machine Learning Participant,Mrs.,https://www.linkedin.com/in/rutendomutamiri/,"Anomaly detection, Computer vision, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),MSc Big Data Analytics,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract","Data Analyst, Data Scientist",Other,True,True,True,True +9b8d478d-5857-4ccf-a9a3-fdec4c42c147,b.gyankarki@gmail.com,Bigyan,Karki,https://talenthub.vectorinstitute.ai/profiles/3363839/view_image/1583540677132.jpeg,,,,,,,https://www.linkedin.com/in/bigyankarki/,,True,False,,,,,,linkedin,2023-03-30T21:48:40.824Z,2023-06-25T22:33:36.469Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/bigyankarki/,,,,,,,,,True,True,True,True +af50cc58-f9dd-40f7-bc6b-bdc405c12e50,zhao52900@gmail.com,Siyuan,Zhao,https://talenthub.vectorinstitute.ai/profiles/3413393/view_image/1678587960702.jpeg,,,,,,,https://www.linkedin.com/in/siyuan-zhao-288b1221a/,,True,False,,,,,,linkedin,2023-04-23T19:15:32.743Z,2023-04-29T02:38:39.581Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/siyuan-zhao-288b1221a/,,,,,,,,,True,True,True,True +f648aeb6-07a8-460e-a7e7-0c9802509749,jrjaspernewprabhu@uwaterloo.ca,Joel,Raymann,https://talenthub.vectorinstitute.ai/profiles/2117637/view_image/Profile2.jpg,Professional AI Developer,"A highly self-motivated, self-driven AI developer. Love to code, train AI models and develop AI powered end-to-end solutions. ",+1-226-789-9802,,,,https://www.linkedin.com/in/joel-raymann/,JoelRaymann,False,False,https://canadaai.jobboard.io/api/v1/profiles/f648aeb6-07a8-460e-a7e7-0c9802509749/resume,Waterloo,Ontario,,Canada,,2020-10-30T15:30:43.397Z,2023-06-08T02:06:22.286Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/joel-raymann/,"Computer vision, Data science, Deep learning, Few-shot learning, Machine learning, Meta-learning, Natural language processing, Quantum computing, Reinforcement learning, Self-supervised learning, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Data Science and Artificial Intelligence,"Health, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Waterloo,True,True,True,True +442e7ee9-96d7-457a-89cc-9387218bf116,hamedwaezi01@gmail.com,Hamed,Waezi,https://talenthub.vectorinstitute.ai/profiles/3259795/view_image/1617443674094.jpeg,"Software Engineer, AI Specialist","I am currently a MSc in AI student at University of Windsor, Ontario, Canada. I started my work prior to finishing my undergrad program in computer engineering. My first official, non freelance, out of university job was as a Python developer in a fin-tech company that developed tools for Forex market. I was there for a few months until March 2022, when I got a position as software engineer in Cafe Bazaar, one of top tech companies in Iran. The next few months I started growing the potentials I had, and learned and experienced many many things including technical matters, task management, working as a team, and managing a project. +",+1 226 961 7096,,,,https://www.linkedin.com/in/hamed-waezi/,,False,False,,Windsor,Ontario,,Canada,linkedin,2023-02-06T03:19:33.184Z,2023-04-03T18:31:26.224Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Fall 2024 (August - November),,Mr.,https://www.linkedin.com/in/hamed-waezi/,"Machine learning, Natural language processing, Transfer learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science - AI stream,"Construction or Infrastructure, Education, Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Internship, Co-op","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Windsor,True,True,True,True +ac95e01c-3b59-41f2-88eb-eb3b1b8b053b,massecarb@gmail.com,Brody,Massecar,https://talenthub.vectorinstitute.ai/profiles/3274048/view_image/1582741777517.jpeg,,,2263784870,,,,https://www.linkedin.com/in/brodymassecar/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/ac95e01c-3b59-41f2-88eb-eb3b1b8b053b/resume,,,,,linkedin,2023-02-13T20:50:27.175Z,2023-06-20T17:55:48.057Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/brodymassecar/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Software Engineering,Software,Full Time,"Data Engineer, Machine Learning Engineer, Software Engineer",Western University,True,True,True,True +ec874b7e-2682-45c4-93b2-4e5b2d6f7dda,adybabu11@gmail.com,Aditya,Babu,https://talenthub.vectorinstitute.ai/profiles/3167041/view_image/1652558442011.jpeg,Data Scientist,"Artificial Intelligence Student and a Software Engineer with around 2 years of professional experience in the Software Solutions Industry. Proactive in Statistical Analysis, Data Engineering, and Machine Learning solutions with expertise in Python and Data Analysis Techniques across insurance, automotive, and consumer service domains. Passionate about working with data, extracting insights from data, and helping businesses make data-driven decisions. + +Skilled in writing Python code, and SQL queries along with Data Visualization with different tools. Exploring Natural Language Processing and Computer Vision for solving real-life Problems!",4372630794,,,,https://www.linkedin.com/in/babuaditya97/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/ec874b7e-2682-45c4-93b2-4e5b2d6f7dda/resume,Toronto,Ontario,,Canada,linkedin,2022-12-06T01:19:31.790Z,2023-05-02T14:30:57.758Z,True,True,Not Affiliated with Vector,No,Post Graduate Affiliate,Ontario,Winter 2023 (December 2022 - March 2023),Loyalist College in Toronto,Mr.,https://www.linkedin.com/in/babuaditya97/,"Computer vision, Data science, Machine learning, Natural language processing, Statistical learning theory, Transfer learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Artificial Intelligence and Data Science,"Financial Services, Manufacturing , Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op, Contract, Capstone Project","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,False,True,True +5092b46e-60c6-4cdc-93e2-1d4e98b428d4,csnazari@gmail.com,Ehsan,Nazari,https://talenthub.vectorinstitute.ai/profiles/2318089/view_image/1554280145849.jpeg,Machine Learning Researcher ,,3435533998,,https://enazari.github.io,,https://www.linkedin.com/in/nazari-ehsan,,False,False,https://canadaai.jobboard.io/api/v1/profiles/5092b46e-60c6-4cdc-93e2-1d4e98b428d4/resume,,,,Canada,linkedin,2021-04-16T10:03:52.622Z,2023-01-21T01:11:38.500Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,ON,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/nazari-ehsan/,"Computer vision, Deep learning, Generative modeling",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science - Concentration in Applied A.I.,Type of Work is More Important to me than Sector,"Full Time, Internship, Contract","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Ottawa,True,True,True,True +e9849bb7-722e-4419-b407-1221fd9edcc8,kshah@tuta.io,Krutin,Shah,https://talenthub.vectorinstitute.ai/profiles/3579718/view_image/krutin.jpeg,,,+12499792592,,,,https://www.linkedin.com/in/shahkrutin,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e9849bb7-722e-4419-b407-1221fd9edcc8/resume,Sudbury,Ontario,,Canada,,2023-07-05T23:00:11.164Z,2023-07-05T23:00:11.200Z,True,True,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,Dr. Kalpdrum Passi,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/shahkrutin,"Computer vision, Data science, Law, ethics and policy, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),M.Sc. Computational Science,Type of Work is More Important to me than Sector,Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Software Engineer",Laurentian University,True,False,True,True +bca0b6df-157b-4e6f-a7e0-85bf695baa7d,imranalnahdy30@gmail.com,Imran,Al-Nahdy,https://talenthub.vectorinstitute.ai/profiles/3010841/view_image/IMG_3412.jpg,MBAI Student,I am a master of business analytics and AI student from OntarioTechU. I am capable of working effectively in any group size and work well around deadlines. I enjoy playing soccer during the summer and usually find myself in the mountains snowboarding in the winter. I am passionate about technology and consistently look to understand and use the cutting edge.,6475759840,,,,https://www.linkedin.com/in/imran-al-nahdy-20b473182/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/bca0b6df-157b-4e6f-a7e0-85bf695baa7d/resume,Toronto,Ontario,,Canada,,2022-09-20T15:13:52.051Z,2022-12-24T01:05:01.440Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/imran-al-nahdy-20b473182/,"Data science, Fairness, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),First year,,"Full Time, Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Researcher/Scientist ",OntarioTech University,True,True,True,True +d7daa283-a8e6-4735-afab-d462e2de4e77,thomasjiralerspong@gmail.com,Thomas,Jiralerspong,https://talenthub.vectorinstitute.ai/profiles/3173300/view_image/professional_picture.jpg,Experienced Undergraduate Researcher,"I am a last year undergraduate student at McGill University in Honours Computer Science. I have previous research experience as an undergraduate researcher with Professor Doina Precup and Professor Blake Richards, and as a machine learning research intern at the Vector Institute. I also have previous software development experience as an intern at Amazon, Expedia, and Square Enix",5146259308,,https://superkaiba.github.io,,https://www.linkedin.com/in/thomas-jiralerspong/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d7daa283-a8e6-4735-afab-d462e2de4e77/resume,Montreal,Quebec,,Canada,,2022-12-10T00:14:42.082Z,2022-12-10T00:14:42.120Z,False,False,Internal Staff,Yes,Other Vector Programming,,Spring/Summer 2023 (April - July),Machine Learning Intern,Mr.,https://www.linkedin.com/in/thomas-jiralerspong/,"Natural language processing, Reinforcement learning, Representation learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Honours Computer Science,Type of Work is More Important to me than Sector,"Internship, Co-op","Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True +c647a5ca-48a7-4f72-a05d-ec08ab63175c,igofman99@gmail.com,Ilan,Gofman,https://talenthub.vectorinstitute.ai/profiles/2994399/view_image/linkedinprofile.jpeg,Graduate Student at the University of Toronto,,6138050488,,,,https://www.linkedin.com/in/ilan-gofman/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c647a5ca-48a7-4f72-a05d-ec08ab63175c/resume,,,,,,2022-09-09T12:59:56.029Z,2022-12-08T20:05:48.239Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/ilan-gofman/,"Data science, Deep learning, Healthcare and/or medical imaging",Graduate Degree (Masters),Entry Level (0-2 Years),"MSc Applied Computing, Artificial Intelligence","Education, Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development)","Internship, Co-op, Contract","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True +dd4ec5e1-e51d-4328-aeb2-1f10068f26c0,pjalpa015@gmail.com,Jalpa Deepak,Patel,https://talenthub.vectorinstitute.ai/profiles/2317536/view_image/1607863178889.jpeg,"Software Developer, Pursuing Masters","I have previous experience as a Software Developer, recently worked at Ground Effects, Canada. I am pursuing a Masters's in Computer Science Degree at the University of Windsor, Canada. Through my journey of Masters degree, I have developed Machine Learning skills, and I am looking forward to ML and MLOps job opportunities. ",6474591507,,,,https://www.linkedin.com/in/pjalpa015/,jalpa_015,True,False,https://canadaai.jobboard.io/api/v1/profiles/dd4ec5e1-e51d-4328-aeb2-1f10068f26c0/resume,Windsor,Ontario,,Canada,linkedin,2021-04-15T23:25:00.247Z,2022-08-31T19:43:02.427Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/pjalpa015/,"Graphical models, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Financial Services, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Transportation",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Windsor,True,True,True,True +abb3e26a-5113-40ac-a215-c10bfdfae5f9,saad.haris@queensu.ca,Saad,Haris,https://talenthub.vectorinstitute.ai/profiles/2515968/view_image/20220622_173627__2_.jpg,Machine Learning engineer | Data Scientist,Engineering consultant and analytics professional with proven track record of success while working on implementation & support projects in the energy and utility sector and possess hands-on experience working with analytics projects in graduate program. 8+ years of experience working as a consultant and engineering strategist in energy utilities and engineering consulting. Influential team member and communicator with a problem-solving and conflict resolution mindset; knows how to leverage technology and business acumen to achieve targets efficiently.,2899889550,,,,https://www.linkedin.com/in/saadharis/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/abb3e26a-5113-40ac-a215-c10bfdfae5f9/resume,Brampton,Ontario,,Canada,,2021-09-19T20:17:59.348Z,2022-08-30T18:29:46.463Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/saadharis/,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Management Anayltics,"Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Technology (Product Development)",Full Time,"Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True +8d53b121-0398-4a7c-a45c-7e610cc5a22d,mfitumukiza@protonmail.com,Richard,Mfitumukiza,https://talenthub.vectorinstitute.ai/profiles/2684704/view_image/1516436268663.jpeg,NLP | Machine Learning | SWE,"Machine learning engineer with a degree in Computer Science and professional experience. +I specialize in Natural Language Processing (NLP), the field in which I published the ground breaking research paper “Intelligent Spam Filtration based on SMS Linguistics”. +I solve complex business problems like demand forecast, customer segmentation, demand forecast and investment strategies using my extensive knowledge in meticulous data cleaning, advanced statistical analysis and robust ML model development. +My latest work consisted of analyzing and visualizing time series sales data in order to advise on customer segmentation and marketing campaign effectiveness. More of my projects can be found in my portfolio. +My domains of interest includes Healthcare data and Medical literature, marketing strategies, business operational efficiency, financial analysis. +",5195514898,,https://github.com/richardmfitumukiza,,https://www.linkedin.com/in/richardmfitumukiza/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/8d53b121-0398-4a7c-a45c-7e610cc5a22d/resume,Windsor,Ontario,,Canada,,2022-02-09T17:47:11.895Z,2023-04-24T02:21:30.057Z,True,True,Connected to Vector Research,Yes,Other Vector Programming,,Winter 2023 (December 2022 - March 2023),Machine Learning Internship B&I Program,Mr.,https://www.linkedin.com/in/richardmfitumukiza/,"Bioinformatics, Data science, Deep learning, Fairness, Graphical models, Healthcare and/or medical imaging, Natural language processing",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Bachelor of Computer Science,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Windsor,True,True,True,True +deb81d74-3e0a-46d2-ac85-e4a310e16a33,hdawkins@uoguelph.ca,Hillary,Dawkins,https://talenthub.vectorinstitute.ai/profiles/2866538/view_image/20181008_145909.jpg,Ph.D. Candidate studying gender bias in NLP,"Currently pursuing a Ph.D. in Computer Science at the University of Guelph, my research tackles gender bias in natural language processing systems. More broadly, I'm interested in applying artificial intelligence for social good, particularly in the education domain. I have been a Data Science for Social Good Fellow at the University of Washington, a Data Scientist for a UK-based charity, and have published in the domain of computer science and physics education research. Previously, I conducted my MSc research at the Institute for Quantum Computing (University of Waterloo), and I continue to work as a software developer creating compilation and diagnostic tools that support modern quantum computers. I am an experienced teaching assistant with practice in content development and remote lecture delivery. ",,,,,,,False,False,https://canadaai.jobboard.io/api/v1/profiles/deb81d74-3e0a-46d2-ac85-e4a310e16a33/resume,Guelph,Ontario,,Canada,,2022-06-20T21:16:56.331Z,2023-06-15T09:27:50.543Z,True,True,Unaffiliated PhD Graduate/Candidate,Yes,Post Graduate Affiliate,,Winter 2023 (December 2022 - March 2023),,Miss.,https://www.linkedin.com/in/hillary-dawkins-8537a13a/,"Fairness, Natural language processing, Quantum computing",Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Science,"Education, Health, Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Contract, Capstone Project","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer, Other ",University of Guelph,True,True,True,True f0746dab-835e-4dca-91f0-1ebf5484f1f4,hamed.karimi@torontomu.ca,Hamed,Karimi,https://talenthub.vectorinstitute.ai/profiles/2280960/view_image/1645070736304.jpg,Research Assistant (Ph.D. Candidate),,,,https://scholar.google.com/citations?user=QOIx27EAAAAJ&hl=en,,https://www.linkedin.com/in/hamed-karimi-25638610a/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/f0746dab-835e-4dca-91f0-1ebf5484f1f4/resume,Toronto,Ontario,,Canada,linkedin,2021-03-21T22:15:34.333Z,2023-02-20T19:22:34.333Z,False,False,Connected to Vector Research,Yes,Unsure,Professor Reza Samavi,Fall 2024 (August - November),Postgraduate Student (Ph.D. candidate) of a Vector Faculty Affiliate,Mr.,https://www.linkedin.com/in/hamed-karimi-25638610a/,"Adversarial learning, Deep learning, Machine learning, Natural language processing, Privacy, anonymity, and/or security",Postgraduate Degree (PhD),Entry Level (0-2 Years),Computer Engineering,"Education, Financial Services, Health, Software, Technology (Information and Media), Transportation","Internship, Co-op, Contract","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Ryerson University,True,True,True,True 52020794-a51f-4c6c-b314-5d5208e00f1d,chrisjk@schulich.yorku.ca,Christopher,Kershaw,https://talenthub.vectorinstitute.ai/profiles/3010911/view_image/1651876047157.jpg,,Looking to enter the data science field,4088383574,,,,https://www.linkedin.com/in/chrisjkershaw,,False,False,https://canadaai.jobboard.io/api/v1/profiles/52020794-a51f-4c6c-b314-5d5208e00f1d/resume,Toronto,Ontario,,Canada,,2022-09-20T15:15:23.006Z,2023-05-30T02:15:01.159Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,www.linkedin.com/in/chrisjkershaw,"Data science, Optimization, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Business Analytics,"Technology (Information and Media), Technology (Product Development), Transportation",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",York University,True,True,True,True 074170d6-96b6-4ab6-aed0-3f342273cf7e,ranimadin@gmail.com,Raksha,Begwani,https://talenthub.vectorinstitute.ai/profiles/3478997/view_image/1516368795396.jpeg,,,,,,,https://www.linkedin.com/in/raksha-begwani-315614b/,,False,False,,,,,,linkedin,2023-05-26T00:27:58.977Z,2023-05-26T00:27:59.389Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/raksha-begwani-315614b/,,,,,,,,,True,False,True,True @@ -2899,9 +2962,6 @@ I'm seeking opportunities to apply my skills in developing artificial vision for fdd1d91f-a87f-4153-a922-ea21adb5aa22,hirad.daneshvar@torontomu.ca,Hirad,Daneshvar,https://talenthub.vectorinstitute.ai/profiles/2624529/view_image/avatar_4.jpeg,Ph.D. Candidate at Toronto Metropolitan University,"I am a Ph.D. Candidate at Toronto Metropolitan University working on applications of Deep Learning in Healthcare. I have experience with several programming languages such as Python, PHP, JavaScript, etc. I have worked as a Full Stack/Back-end and Database Developer working with relational and NoSQL databases. This experience taught me to work both individually and in teams. During my Master's degree, I worked on Recommender Systems, specifically on a Movie Recommender System. Currently I am conducting research on Deep Learning applications in the healthcare domain and I am looking forward to use my experience after graduation to do research on application on deep learning.",4168762942,,https://linktr.ee/hiraddaneshvar,,https://www.linkedin.com/in/hiraddaneshvar/,Hirad_Daneshvar,False,False,https://canadaai.jobboard.io/api/v1/profiles/fdd1d91f-a87f-4153-a922-ea21adb5aa22/resume,Toronto,Ontario,,Canada,,2021-12-22T19:55:56.320Z,2023-03-22T20:31:30.599Z,True,True,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Dr. Reza Samavi,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/hiraddaneshvar/,"Deep learning, Healthcare and/or medical imaging, Machine learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Electrical and Computer Engineering,"Financial Services, Health, Retail, Software, Technology (Information and Media), Type of Work is More Important to me than Sector","Internship, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Ryerson University,True,True,True,True 60dde071-b378-4bdc-9470-c0eeb7fe3824,arun.bata@yahoo.com,Arun,Ghoshal,https://talenthub.vectorinstitute.ai/profiles/3427913/view_image/1611043701881.jpeg,,"clinician working in palliative care, research interests include application of ML/NLP in health care",16475128176,,,,https://www.linkedin.com/in/arun-ghoshal-494b7128/,,False,False,,,,,,linkedin,2023-05-01T13:29:43.703Z,2023-05-01T13:29:44.100Z,True,False,Other Vector Programming,Yes,Other Vector Programming,ON,Already Graduated,AI for clinician champions 2023,Dr.,https://www.linkedin.com/in/arun-ghoshal-494b7128/,,Graduate Degree (Masters),Entry Level (0-2 Years),Palliative medicine,,"Internship, Co-op, Contract, Capstone Project","Data Scientist, Machine Learning Researcher/Scientist , Other ",University of Toronto,True,True,True,True 72dae112-54c3-434e-898a-2336d83621c9,97nisargpatel@gmail.com,Nisarg,Patel,https://talenthub.vectorinstitute.ai/profiles/3423552/view_image/PicsArt_08-30-10.36.39.jpg,,,,,https://npnisarg.github.io/,,https://www.linkedin.com/in/patelnisarg97/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/72dae112-54c3-434e-898a-2336d83621c9/resume,,,,,,2023-04-28T15:35:29.326Z,2023-04-28T15:35:29.357Z,True,True,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,ON,Already Graduated,,Mr.,https://www.linkedin.com/in/patelnisarg97/,"Data science, Machine learning, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),Industrial Engineering (Emphasis in Data Analytics),"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -ec874b7e-2682-45c4-93b2-4e5b2d6f7dda,adybabu11@gmail.com,Aditya,Babu,https://talenthub.vectorinstitute.ai/profiles/3167041/view_image/1652558442011.jpeg,Data Scientist,"Artificial Intelligence Student and a Software Engineer with around 2 years of professional experience in the Software Solutions Industry. Proactive in Statistical Analysis, Data Engineering, and Machine Learning solutions with expertise in Python and Data Analysis Techniques across insurance, automotive, and consumer service domains. Passionate about working with data, extracting insights from data, and helping businesses make data-driven decisions. - -Skilled in writing Python code, and SQL queries along with Data Visualization with different tools. Exploring Natural Language Processing and Computer Vision for solving real-life Problems!",4372630794,,,,https://www.linkedin.com/in/babuaditya97/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/ec874b7e-2682-45c4-93b2-4e5b2d6f7dda/resume,Toronto,Ontario,,Canada,linkedin,2022-12-06T01:19:31.790Z,2023-05-01T14:17:41.804Z,True,True,Not Affiliated with Vector,No,Post Graduate Affiliate,Ontario,Winter 2023 (December 2022 - March 2023),Loyalist College in Toronto,Mr.,https://www.linkedin.com/in/babuaditya97/,"Computer vision, Data science, Machine learning, Natural language processing, Statistical learning theory, Transfer learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Artificial Intelligence and Data Science,"Financial Services, Manufacturing , Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op, Contract, Capstone Project","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,False,True,True fcb76200-1bb3-4a94-8763-4a7b1685c838,shah1bz@uwindsor.ca,Akshay,Shah,https://talenthub.vectorinstitute.ai/profiles/2468414/view_image/1571574334035.jpg,"AI Researcher, MSc - Computer Science Student at University of Windsor","I'm an MSc - CS candidate at the University of Windsor. My research interests lie in Deep Learning, NLP, and Social Network Data Analysis. My goal is to develop algorithms and datasets that can drive AI technologies to a better future. At the University of Windsor, I had the chance to work in the AI labs under the supervision of Dr. Ziad Kobti. I received a Bachelor of Engineering in Information technology, with University Distinction, from Gujarat Technological University.",2267592292,,https://akshayshah9720.wixsite.com/my-site,,https://www.linkedin.com/in/akshay-s-558478a5/,akshayshah9720,True,False,https://canadaai.jobboard.io/api/v1/profiles/fcb76200-1bb3-4a94-8763-4a7b1685c838/resume,Windsor,Ontario,,Canada,,2021-08-13T15:44:05.111Z,2023-05-20T15:22:27.751Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/akshay-s-558478a5/,"Adversarial learning, AI safety, Computer vision, Data science, Deep learning, Generative modeling, Healthcare and/or medical imaging, Machine learning, Natural language processing, Neuroscience, Physics, Quantum computing, Recommender systems, Reinforcement learning, Representation learning, Self-supervised learning, Time-series forecasting and modelling, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),MSc - Computer Science,"Education, Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship","Data Analyst, Data Architect, Data Engineer, Data Scientist",University of Windsor,True,True,True,True 94fe2497-4bdc-4d79-809d-a807bcb88272,rija.ansari@gmail.com,Rija,Ansari,https://talenthub.vectorinstitute.ai/profiles/3258539/view_image/1617565355050.jpeg,,,,,,,https://www.linkedin.com/in/rija-ansari/,,True,False,,,,,,linkedin,2023-02-04T23:19:34.346Z,2023-02-04T23:19:34.837Z,False,False,Not Affiliated with Vector,No,,,,,,,,,,,,,,,True,True,True,True e74d48f8-9876-4ac7-bf36-c7f2e69ea116,jasonmsetiadi@gmail.com,Jason Marcell,Setiadi,https://talenthub.vectorinstitute.ai/profiles/3463509/view_image/1677909550872.jpeg,Machine Learning Engineer,,,,http://Jasonmsetiadi.github.io,,https://www.linkedin.com/in/jasonmsetiadi/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e74d48f8-9876-4ac7-bf36-c7f2e69ea116/resume,Waterloo,Ontario,,Canada,linkedin,2023-05-18T15:03:15.869Z,2023-05-18T15:03:16.403Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/jasonmsetiadi/,"Data science, Interpretability, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Science and Artificial Intelligence,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Contract","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Waterloo,True,True,True,True @@ -2928,81 +2988,93 @@ e96eec67-48ce-467b-b79e-d29ee54bd338,jiaruizhang96@yahoo.com,Jiarui,Zhang,https: e41f8a06-0f85-43d1-b795-e82ba86336b9,dhruvrathi15@gmail.com,Dhruv,Rathi,https://talenthub.vectorinstitute.ai/profiles/2547949/view_image/1633248887042.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-10-15T14:20:12.895Z,2021-10-15T14:20:13.064Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/dhruv-rathi-/,,,,,,,,,True,True,True,True 9f5ea02a-f406-4cfe-9369-4e9b05c6453d,aryangarg019@gmail.com,Aryan,Garg,https://talenthub.vectorinstitute.ai/profiles/2988400/view_image/1577725625119.jpeg,,,,,https://github.com/Aryan-Garg,,,,True,False,,,,,,linkedin,2022-09-06T04:08:25.939Z,2022-09-06T04:08:26.491Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/aryan-garg/,,,,,,,,,True,True,True,True 4ac440a4-d841-46ba-8f33-ef48b555bb73,mayank.mudgal@queensu.ca,Mayank,Mudgal,https://talenthub.vectorinstitute.ai/profiles/2278176/view_image/MM_Photo__3_.jpg,Risk and Analytics Manager/ Strategist,"Analytics enabled Risk Management and Financial Crime professional with Progressive, International experience across Lending, Cards, Payments, Automotive, E-Commerce and SaaS within Banks, Financial Services and Technology firms. I possess strong experience developing and delivering complex analytics and technology-enabled assignments.",+14378550360,,,,https://ca.linkedin.com/in/mmudgal/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4ac440a4-d841-46ba-8f33-ef48b555bb73/resume,Toronto,Ontario,,Canada,,2021-03-19T14:36:03.165Z,2021-03-19T17:55:49.630Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://ca.linkedin.com/in/mmudgal/,"Anomaly detection, Data science, Machine learning, Optimization, Time-series forecasting and modelling, Unsupervised learning",Graduate Degree (Masters),Senior Level (5+ Years),Masters in Management Analytics (Completed),"Education, Financial Services, Professional Services (e.g Consulting), Retail, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Contract","Product/Project Manager, Other ",Queen's University,True,True,True,True -5e40ef1e-3f60-43a5-a6b3-b1b4892e82b4,jacopo.panerati@utoronto.ca,Jacopo,Panerati,https://talenthub.vectorinstitute.ai/profiles/3013104/view_image/photo-2016.jpeg,Machine Learning for Robot Control,,,,https://jacopopanerati.github.io,,https://www.linkedin.com/in/jacopo-panerati/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5e40ef1e-3f60-43a5-a6b3-b1b4892e82b4/resume,,,,,,2022-09-21T20:23:23.783Z,2023-05-26T11:08:14.755Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Angela P. Schoellig,Fall 2022 (August - November),,Dr.,https://www.linkedin.com/in/jacopo-panerati/,"Reinforcement learning, Representation learning, Robotics",Postgraduate Degree (PhD),Senior Level (5+ Years),Robotics,"Financial Services, Professional Services (e.g Consulting), Software, Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,False,True,True -02d1eeef-6eb7-4b30-885d-678f57a361ff,jonlorraine@gmail.com,Jonathan,Lorraine,https://talenthub.vectorinstitute.ai/profiles/2113364/view_image/0.jpeg,,"I'm a Ph.D. student in machine learning at the University of Toronto and at the Vector Institute. My research interests are in hyperparameter optimization, learning in games and - more generally - nested optimization.",14169120863,,https://www.cs.toronto.edu/~lorraine/,,https://www.linkedin.com/in/lorraine94/,jonLorraine9,False,False,https://canadaai.jobboard.io/api/v1/profiles/02d1eeef-6eb7-4b30-885d-678f57a361ff/resume,Toronto,Ontario,,Canada,linkedin,2020-10-26T17:55:06.715Z,2023-06-06T18:08:05.855Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,David Duvenaud,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/lorraine94/,"Deep learning, Machine learning, Optimization",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science - Machine Learning Group,"Financial Services, Type of Work is More Important to me than Sector","Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",University of Toronto,True,True,True,True -9203a156-e381-489a-9620-afc2048decd2,saurabhsinghkrajput@gmail.com,Saurabh Singh,Rajput,https://talenthub.vectorinstitute.ai/profiles/3451659/view_image/1560622147246.jpeg,,,,,,,https://www.linkedin.com/in/saurabhsingh-rajput/,,False,False,,,,,,linkedin,2023-05-12T21:33:43.211Z,2023-05-12T21:33:43.646Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/saurabhsingh-rajput/,,,,,,,,,True,True,True,True -538d8b4d-7841-4957-b152-0dbdedf56f0d,skiran13@gmail.com,Surya Kiran,Suresh,https://talenthub.vectorinstitute.ai/profiles/3419100/view_image/1678148335205.jpeg,Machine Learning Engineer,,3435585341,,,,https://www.linkedin.com/in/skiran13/,,False,False,,Ottawa,Ontario,,Canada,linkedin,2023-04-26T13:06:39.211Z,2023-04-27T15:14:05.929Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/skiran13/,,Graduate Degree (Masters),Entry Level (0-2 Years),Masters in Computer Science: Concentration in Applied AI,,"Full Time, Internship, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Ottawa,True,True,True,True -58f94169-c003-431e-ac16-58516be19738,ksbharaj14@gmail.com,Karan,Bharaj,https://talenthub.vectorinstitute.ai/profiles/3412496/view_image/Karan-Bharaj.jpg,Chartered Engineer,Chartered Engineer with a Master's In Computer Science (Machine Learning Specialization) from Georgia Institute of Technology. ,+14374990014,,,,https://www.linkedin.com/in/karanbharaj/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/58f94169-c003-431e-ac16-58516be19738/resume,Toronto,Ontario,,Canada,,2023-04-23T03:44:56.806Z,2023-05-10T15:57:59.384Z,True,True,Not Affiliated with Vector,No,Unsure,Georgia Institute of Technology,Already Graduated,,Mr.,https://www.linkedin.com/in/karanbharaj/,"Data science, Deep learning, Machine learning, Robotics",Graduate Degree (Masters),Senior Level (5+ Years),Computer Science with a specialization in Machine Learning,"Manufacturing , Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Other,True,True,True,True -34603918-d3fa-4deb-ab0d-20233fa58c10,tina.gholamy229@gmail.com,Tina,Gholami,https://talenthub.vectorinstitute.ai/profiles/2110744/view_image/Tina.jpg,Master's of Software Engineering Program ,"My name is Tina Gholami and I study my Master's degree in Software Engineering at Western University with Vector's collaboration specialization in AI program. -I am a data enthusiast and a super fan of life-long learning! That is why I constantly use online courses in platforms such as Udemy and also do coding challenges on HackerRank to improve my skills. My research right now is on emotion recognition using Brain data and I am actively looking for opportunities in the field of data science and will do my absolute best to add value to the place I work at. -",+12265823125,,https://tinagholami.wordpress.com/,,https://www.linkedin.com/in/tina-gholami,,False,False,https://canadaai.jobboard.io/api/v1/profiles/34603918-d3fa-4deb-ab0d-20233fa58c10/resume,London,Ontario,,Canada,,2020-10-23T13:26:46.097Z,2023-05-03T18:38:39.191Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),With Collaborative Specialization in Artificial Intelligence by Vector Institute as Part of My Degree,Miss.,https://www.linkedin.com/in/tina-gholami-8b783668/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),"Software Engineering Program, with a focus on Data Science for my reserach + Collaborative Specialization in Artificial Intelligence by Vector Institute","Education, Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Western University,True,True,True,True -bef6916d-1315-4a0c-814e-b1caaee81687,jmorra6@uwo.ca,Jacob,Morra,https://talenthub.vectorinstitute.ai/profiles/2692905/view_image/20220719_121920-modified.png,Student and Occasional Lecturer,"I am a fourth year Computer Science and Neuroscience PhD student whose research sits at the boundary between Connectomics and Artificial Intelligence: specifically, in my work I look towards the brain in order to gain insights which can help to improve machine learning algorithms. Currently, I am focused on the topology of the fruit fly olfactory system neural network: Can elements of this structure be imposed onto a machine learning algorithm (ex: Reservoir Computing); can it improve performance on a supervised time-series prediction task? ",(289)404-0725,,,,https://www.linkedin.com/in/jacob-morra-5b74421ab/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/bef6916d-1315-4a0c-814e-b1caaee81687/resume,London,Ontario,,Canada,,2022-02-15T22:46:31.971Z,2023-05-31T19:53:44.977Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Mark Daley,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/jacob-morra-5b74421ab/,"Machine learning, Neuroscience, Time-series forecasting and modelling",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science and Neuroscience,Type of Work is More Important to me than Sector,"Internship, Co-op, Contract","Machine Learning Engineer, Machine Learning Researcher/Scientist ",Western University,True,False,True,True -5ae90243-6629-496a-8d0d-b3a1480720bd,salar.hosseinikhorasgani@mail.utoronto.ca,Salar,Hosseini Khorasgani,https://talenthub.vectorinstitute.ai/profiles/2493595/view_image/salar.jpg,Machine Learning Research Intern at Samsung Research America,,6479854579,,https://salarios77.github.io/,,https://www.linkedin.com/in/salar-hosseini/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/5ae90243-6629-496a-8d0d-b3a1480720bd/resume,Toronto,Ontario,,Canada,,2021-09-01T20:47:33.711Z,2023-06-06T00:36:25.903Z,False,True,Connected to Vector Research,Yes,Vector Scholarship Recipient,Florian Shkurti,Already Graduated,,Mr.,https://www.linkedin.com/in/salar-hosseini/,"Computer vision, Deep learning, Self-supervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True -4ddbf6aa-a434-4901-bbee-32b6226deb73,janebroomfield42@gmail.com,Jane,Broomfield,https://talenthub.vectorinstitute.ai/profiles/3395678/view_image/me_jb.jpg,Experienced IT Professional,"When it comes to my work, my strength is being able to gather information, analyze and digest it and then, provide answers and solutions for all types of requests and problems which are realistic. sustainable and understandable by all. - -The following skills allow me to fill many roles in an organisation: -- requirement gathering and refinement (pre and post-sales), -- solution/application/system architecture -- software engineering, -- DevOps and task automation, -- software engineering, -- ETL solutions, -- data science tasks, including data analysis, reporting, and dashboards, -- resolve system outages and other user Incidents to get the business working again, -- provide user support and training, (first, and second-level support) -- business process analysis and design -- team lead - -I also manage day-to-day tasks, such as server and application patching and making sure everything is running as efficiently as possible.",,,,,https://www.linkedin.com/in/jane-broomfield-2760002/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/4ddbf6aa-a434-4901-bbee-32b6226deb73/resume,Vancouver,British Columbia,,Canada,linkedin,2023-04-14T03:07:48.810Z,2023-05-17T15:01:45.324Z,True,False,Other Vector Programming,Yes,Other Vector Programming,,Already Graduated,Caregivers and Machine Learning,Ms.,https://www.linkedin.com/in/jane-broomfield-2760002/,,Undergraduate Degree (Bachelors),Senior Level (5+ Years),"University of Essex, Cell/Cellular and Molecular Biology","Education, Health, Professional Services (e.g Consulting), Software, Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True -3a881e91-c3f8-4b61-bac3-81a589e3b370,sadiya.afrin1@g.bracu.ac.bd,Sadiya,Afrin,https://talenthub.vectorinstitute.ai/profiles/3490609/view_image/1624388551220.jpeg,,,,,,,https://www.linkedin.com/in/sadiyaafrin21,,False,False,https://canadaai.jobboard.io/api/v1/profiles/3a881e91-c3f8-4b61-bac3-81a589e3b370/resume,,,,,linkedin,2023-05-31T16:05:19.568Z,2023-05-31T16:05:19.988Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Winter 2025 (December 2024 - March 2025),,Ms.,https://www.linkedin.com/in/sadiyaafrin21,"AI safety, Privacy, anonymity, and/or security",Graduate Degree (Masters),Entry Level (0-2 Years),IT Security,,"Full Time, Internship",Other ,OntarioTech University,True,True,True,True -60d07bbc-d89a-4ca5-8eff-842a1da2a4c1,sayantan.das@queensu.ca,Sayantan,Das,https://talenthub.vectorinstitute.ai/profiles/2375509/view_image/dp.png,MASc student at Queen's University | Vector Scholarship 2021-22 Recipient,An MASc student working on Deepfake Detection research.,6137702006,,http://ucalyptus.me/,,https://www.linkedin.com/in/ucalyptus/,sayantandas_,False,False,https://canadaai.jobboard.io/api/v1/profiles/60d07bbc-d89a-4ca5-8eff-842a1da2a4c1/resume,Kingston,Ontario,,Canada,,2021-05-27T19:55:20.971Z,2023-05-31T17:15:44.690Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/ucalyptus/,"Deep learning, Generative modeling, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),MASc in Electrical and Computer Engineering (Specialization in AI),"Construction or Infrastructure, Financial Services, Health, Manufacturing , Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Queen's University,True,True,True,True -5b777092-285e-4c55-b846-dd2c5392b3c9,henrylee0525@gmail.com,Henry,Lee,https://talenthub.vectorinstitute.ai/profiles/2687581/view_image/1632756058943.jpeg,Master's in Biomedical Informatics,,6043476335,,,,https://www.linkedin.com/in/henry-lee-067998156/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5b777092-285e-4c55-b846-dd2c5392b3c9/resume,Kingston,Ontario,,Canada,linkedin,2022-02-11T15:14:46.336Z,2022-02-11T15:14:46.772Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Parvin Mousavi,Already Graduated,,Mr.,https://www.linkedin.com/in/henry-lee-067998156/,"Computer vision, Data science, Healthcare and/or medical imaging",Graduate Degree (Masters),Entry Level (0-2 Years),Biomedical Informatics,"Financial Services, Health, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True -a5834cf2-b26a-4bd3-b5d0-c14809cb72ba,parsa.ashrafi.f@gmail.com,Parsa,Ashrafi,https://talenthub.vectorinstitute.ai/profiles/2539964/view_image/1619019218825.jpeg,,,5489947493,,,,https://www.linkedin.com/in/parsa-ashrafi/,,True,False,,Waterloo,Ontario,,Canada,linkedin,2021-10-08T20:24:03.378Z,2021-10-26T15:30:06.081Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Hamid Tizhoosh,Already Graduated,,Mr.,https://www.linkedin.com/in/parsa-ashrafi/,"Adversarial learning, Computer vision, Deep learning, Few-shot learning, Interpretability, Machine learning, Meta-learning, Natural language processing, Online learning, Optimization, Reinforcement learning, Representation learning, Self-supervised learning, Statistical learning theory, Transfer learning, Unsupervised learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Systems designs Engineering,"Education, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Waterloo,True,True,True,True -bf9158c5-8695-4d15-89c9-d9093f6678c9,kim.n@queensu.ca,Nathalia,Kim,https://talenthub.vectorinstitute.ai/profiles/2117610/view_image/profile.jpg,"MSc student in computer science, experience with biomedical data and AI","My name is Nathalia and I'm an MSc student in computer science at Queen's University. My program is in the field of AI and in my thesis, I'm processing and analyzing pathology imaging data from pancreatic cancer samples with machine learning and imaging processing techniques. My background is in biomedical engineering and my passion is computing applied to biomedical problems. I'm a very disciplined and self-motivated person, with great time-managing skills and always eager to learn and take on new challenges. ",6135307867,,,,https://www.linkedin.com/in/nathalia-kim/,NathaliaYunKim,True,False,,Kingston,Ontario,,Canada,,2020-10-30T15:30:41.272Z,2020-11-02T14:34:57.023Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Amber Simpson,Already Graduated,,Ms.,https://www.linkedin.com/in/nathalia-kim/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Masters,"Health, Software, Technology (Information and Media), Technology (Product Development)","Internship, Co-op",,Queen's University,True,True,True,True -3725f4cd-4f07-44e8-956d-2c9b995b9bcd,kushantp58@gmail.com,Kushant,Patel,https://talenthub.vectorinstitute.ai/profiles/2648525/view_image/PROFILE_PHOTO.jpeg,Current Grad,"An engineer with a specialization in mechatronics and machine learning. Robotics has been my strong forte with extensive academic and professional experience of 5 years. My work includes a blend of robotics, computer vision, autonomous vehicles, and reinforcement learning. Experience with PyTorch and Paddle-paddle, data structures, and algorithms. I speak four languages in code.",5195004725,,https://kushantp58.github.io,,https://www.linkedin.com/in/kushant-patel-49529888,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3725f4cd-4f07-44e8-956d-2c9b995b9bcd/resume,Waterloo,Ontario,,Canada,,2022-01-13T20:27:31.495Z,2022-01-13T21:12:35.094Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/kushant-patel-49529888,"Data science, Reinforcement learning, Robotics",Graduate Degree (Masters),Mid-Level (3-5 Years),MASc. Mechatronics,"Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Contract","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Waterloo,True,True,True,True -cc4ac5f1-8299-4dd7-a0ee-a0738ec0ef34,ssydasheng@gmail.com,Shengyang,Sun,https://talenthub.vectorinstitute.ai/profiles/2651328/view_image/35EF075D-8441-4ABE-BE2E-A81A65D34F90_1_105_c.jpeg,Machine Learning Researcher,"I'm a Ph.D. candidate at the Department of Computer Science, University of Toronto, supervised by Roger Grosse. Previously, I did my undergraduate at the Department of Electronic Engineering, Tsinghua University.",6478794235,,http://www.cs.toronto.edu/~ssy/,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/cc4ac5f1-8299-4dd7-a0ee-a0738ec0ef34/resume,Toronto,Ontario,,Canada,,2022-01-16T16:45:17.072Z,2022-01-24T23:43:26.457Z,False,False,Connected to Vector Research,Yes,Post Graduate Affiliate,ON,Already Graduated,,Mr.,https://www.linkedin.com/in/shengyang-sun-4278a91a4/,"Bayesian methods, Deep learning, Machine learning",Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Science,"Financial Services, Software, Technology (Information and Media), Technology (Product Development)",Full Time,Machine Learning Researcher/Scientist ,University of Toronto,True,True,True,True -6865adf9-a118-4585-b3d8-8534203230ec,bouziani.soukayna@gmail.com,Soukayna,Bouziani,https://talenthub.vectorinstitute.ai/profiles/1932196/view_image/IMG_1071.jpg,Master of Health Informatics Candidate,I am studying for a Masters Degree in Health Informatics at the University of Toronto which I will be completing in 2022. I am also a cardiac sonographer with working experience at four major hospitals in Toronto and Vancouver. My experience with various electronic medical record systems and applications across Canada has instilled a deep interest in health informatics. I hope to contribute in incorporating emerging and innovative technologies into clinical workflows to improve patient care in the hospital setting. ,,,,,https://www.linkedin.com/in/soukayna-bouziani/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6865adf9-a118-4585-b3d8-8534203230ec/resume,Toronto,Ontario,,Canada,,2020-08-13T19:40:48.257Z,2020-09-22T16:22:28.646Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/mwlite/in/soukayna-bouziani-8a796612a,,Graduate Degree (Masters),Entry Level (0-2 Years),Health Informatics,Health,"Full Time, Internship, Co-op, Contract",,University of Toronto,True,True,True,True -b11d4106-3cfd-4e2c-8a44-34fb7bc1668e,krigzin07@gmail.com,Kinley,Rigzin,https://talenthub.vectorinstitute.ai/profiles/2481184/view_image/KR_Visa_Photo.jpg,Experienced Data Analyst,,,,,,https://www.linkedin.com/in/kinleyrigzin/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b11d4106-3cfd-4e2c-8a44-34fb7bc1668e/resume,,,,,,2021-08-24T21:14:51.145Z,2021-08-25T11:20:22.425Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/kinleyrigzin/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Management Analytics,"Financial Services, Professional Services (e.g Consulting), Technology (Product Development)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",University of Toronto,True,False,True,True -095022f7-0efa-49a6-b405-163e8ae5b5aa,matthew.filipovich@queensu.ca,Matthew,Filipovich,https://talenthub.vectorinstitute.ai/profiles/1747244/view_image/profile.jpg,Accelerated Master's Student in Neuromorphic Photonics and Machine Learning,"With a passion for machine learning and applied physics, I am pursuing an M.A.Sc. in the field of Neuromorphic Photonics, an emerging area of research that seeks to apply the bandwidth and energy advantages of photonics to develop innovative neuro-inspired computing architectures. -My career goal is to follow my interests in fundamental research and scientific discovery to make positive impacts on the world. As an engineering physics graduate, I enjoy working in multidisciplinary teams on complex and challenging problems. Aside from my primary research in neuromorphic photonics, my interests span a wide range of fields including quantum computing, the ethics of machine learning and AI, and autonomous vehicles.",416-587-1998,,https://matthewfilipovich.ca/,,https://www.linkedin.com/in/matthewfilipovich/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/095022f7-0efa-49a6-b405-163e8ae5b5aa/resume,Toronto,Ontario,,Canada,,2020-05-14T19:05:59.786Z,2020-11-05T02:43:28.632Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/matthewfilipovich/,,Graduate Degree (Masters),Entry Level (0-2 Years),Applied Physics,"Health, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship",,Queen's University,True,True,True,True -712388b0-2c7d-43bc-9d17-d219ca642fd9,jacob.jin.kelly@gmail.com,Jacob,Kelly,https://talenthub.vectorinstitute.ai/profiles/1551298/view_image/water_square.jpg,Undergrad Researcher,,,,https://jacobjinkelly.github.io/,,https://www.linkedin.com/in/jacobjinkelly/,jacobjinkelly,True,False,https://canadaai.jobboard.io/api/v1/profiles/712388b0-2c7d-43bc-9d17-d219ca642fd9/resume,,,,,linkedin,2019-12-03T23:29:36.329Z,2019-12-03T23:29:36.587Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,,Already Graduated,,Mr.,https://www.linkedin.com/in/jacobjinkelly/,"Computational biology, Generative modeling, Machine learning, Unsupervised learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),"Computer Science, Math, Statistics","Health, Software, Type of Work is More Important to me than Sector","Full Time, Internship",,University of Toronto,True,True,True,True -110d67ba-2583-438a-8b79-03c077a72a3f,cenk.bircanoglu@gmail.com,Cenk,Bircanoglu,https://talenthub.vectorinstitute.ai/profiles/2081955/view_image/0.jpeg,,,,,,,https://www.linkedin.com/in/cenkbircanoglu/,,True,False,,,,,,linkedin,2020-09-29T08:10:08.944Z,2020-09-29T08:10:09.198Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Spring/Summer 2023 (April - July),Follower,Mr.,https://www.linkedin.com/in/cenkbircanoglu/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Science,Type of Work is More Important to me than Sector,Full Time,,Other,True,True,True,True -b41721a3-b514-4159-ab51-47c94f9802a8,mvula89@gmail.com,Paul K.,Mvula,https://talenthub.vectorinstitute.ai/profiles/1804196/view_image/0.jpeg,,,+8618651400441,,,,https://www.linkedin.com/in/paul-k-mvula-708328124,mvula_k,True,False,https://canadaai.jobboard.io/api/v1/profiles/b41721a3-b514-4159-ab51-47c94f9802a8/resume,,,,,linkedin,2020-05-26T17:54:54.661Z,2020-09-09T14:19:36.941Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/paul-k-mvula-708328124/,,Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science Concentration in Applied AI,"Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op",,University of Ottawa,True,True,True,True -11fc1618-f67b-46a8-a3f2-c4ef1ab3b59f,usuhail@yorku.ca,Syed Umair,Suhail,https://talenthub.vectorinstitute.ai/profiles/1617341/view_image/0.jpg,"Master of Business Analytics - Schulich School of Business | MBA | Analytics Intern at Deloitte Omnia AI, Canada","I'm a passionate Data Science & Analytics professional, with a strong background in interpreting and analyzing data. I'm currently pursuing 'Master in Business Analytics' from Schulich School of Business (expected graduation by April 2020), where I have specialized in transforming raw data into meaningful business insights to guide strategic decision-making and solve complex business problems. I am experienced in using analytical tools such as SAS, Python, R, SQL and Tableau for data analysis and modeling. -I possess an enriching working experience spanning around 3 years, as Investment Banking Analyst and Market Research Analyst, in the data-centric financial and the manufacturing sectors respectively, providing me direct exposure to data analysis, business intelligence, business reporting and stakeholder management. -I am passionate about channeling my diverse exposure, business acumen and data analytics skills to provide innovative and impactful solutions to complex problems faced by businesses. ",416 725 9888,,,,https://www.linkedin.com/in/syedumairsuhail/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/11fc1618-f67b-46a8-a3f2-c4ef1ab3b59f/resume,Toronto,Ontario,,Canada,,2020-01-26T00:18:05.280Z,2020-04-29T06:10:25.234Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/syedumairsuhail/,,Graduate Degree (Masters),,Business Analytics,"Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Telecommunications",Full Time,,York University,True,True,True,True -3ec25432-c343-4670-8442-501f93fe1b76,canberk697@gmail.com,Canberk,Kandemir,https://talenthub.vectorinstitute.ai/profiles/1690110/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-03-26T08:50:31.092Z,2020-03-26T08:50:31.348Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/canberkkandemir/,,,,,,,,,True,True,True,True -f3c44685-0e0d-4d51-9e90-b7ae55460fa2,nphelps3@uwo.ca,Nathan,Phelps,https://talenthub.vectorinstitute.ai/profiles/1798790/view_image/0.jpeg,Graduating MSc Student Looking for Opportunities,"I am a graduating MSc student looking for new opportunities in AI/data science. My research experience has involved using statistical modeling and machine learning for classification, formalizing guidelines for proper evaluation and comparison of models, representation learning, clustering, and reinforcement learning. I am looking for an opportunity where I can use these skills to make an impact. -I enjoy spending my spare time playing sports, especially volleyball. During my time at Western, I played on the varsity team for five years, and I hope to remain involved in volleyball in the coming years.",,,,,https://www.linkedin.com/in/nathan-phelps-119519114/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f3c44685-0e0d-4d51-9e90-b7ae55460fa2/resume,London,Ontario,,Canada,linkedin,2020-05-21T14:43:58.750Z,2020-05-21T14:43:59.018Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Daniel Lizotte,Already Graduated,,Mr.,https://www.linkedin.com/in/nathan-phelps-119519114/,,Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Health, Technology (Information and Media), Type of Work is More Important to me than Sector","Full Time, Contract",,Western University,True,True,True,True -3f2a8df6-ffb9-4be8-b75d-fcfcba734a37,daniel.tamming@uwaterloo.ca,Daniel,Tamming,https://talenthub.vectorinstitute.ai/profiles/1713139/view_image/0.jpeg,Graduate Student Studying Artificial Data Generation for NLP,,519.270.8427,,https://danieltamming.github.io/,,https://www.linkedin.com/in/daniel-tamming/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3f2a8df6-ffb9-4be8-b75d-fcfcba734a37/resume,Toronto,Ontario,,Canada,linkedin,2020-04-08T15:12:02.892Z,2020-04-21T15:07:30.170Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/daniel-tamming/,,Graduate Degree (Masters),,"Master of Mathematics, Computer Science",Type of Work is More Important to me than Sector,"Full Time, Internship",,University of Waterloo,True,True,True,True -2a159746-7338-4aab-918c-304ef57b64c8,tamizh3110@gmail.com,Tamizh Selvan,Venkatesan,https://talenthub.vectorinstitute.ai/profiles/1732032/view_image/0.jpeg,Masters Graduate,,6477453110,,,,https://www.linkedin.com/in/tamizhselvan-venkatesan/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2a159746-7338-4aab-918c-304ef57b64c8/resume,Mississauga,Ontario,,Canada,linkedin,2020-04-30T17:08:06.310Z,2020-04-30T17:08:06.522Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Mark Wineberg,Already Graduated,,Mr.,https://www.linkedin.com/in/tamizhselvan-venkatesan/,,Graduate Degree (Masters),,Computer Science,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Contract, Capstone Project",,University of Guelph,True,True,True,True -e5653cda-e714-48b1-9e8e-6dae777a3dec,ndey96@gmail.com,Nolan,Dey,https://talenthub.vectorinstitute.ai/profiles/1863304/view_image/0.jpeg,MASc Candidate in Systems Design Engineering,,,,http://ndey96.github.io,,https://www.linkedin.com/in/nolandey/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e5653cda-e714-48b1-9e8e-6dae777a3dec/resume,,,,,linkedin,2020-07-08T16:42:25.591Z,2020-11-05T15:26:37.814Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Graham Taylor,Already Graduated,,Mr.,https://www.linkedin.com/in/nolandey/,,Graduate Degree (Masters),Mid-Level (3-5 Years),MASc in Systems Design Engineering,,"Internship, Contract",,University of Waterloo,True,False,True,True -0bfc274a-4f8d-43d7-b7a2-231b5bb31f24,parisa.dastmalchi@gmail.com,Parisa,Dastmalchi ,https://talenthub.vectorinstitute.ai/profiles/1965979/view_image/0.jpeg,,,6476155980,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0bfc274a-4f8d-43d7-b7a2-231b5bb31f24/resume,Toronto,Ontario,,Canada,linkedin,2020-09-04T02:40:32.977Z,2020-09-04T02:40:33.263Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,University of Toronto,Already Graduated,,Ms.,https://www.linkedin.com/in/parisadastmalchi/,,Graduate Degree (Masters),Senior Level (5+ Years),Executive Master's of Health Informatics,"Health, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract, Capstone Project",,University of Toronto,True,True,True,True -30f7e86f-438e-4793-8429-5bfa8022846e,claas@voelcker.net,Claas,Voelcker,https://talenthub.vectorinstitute.ai/profiles/2695644/view_image/1516932651580.jpeg,,,,,http://cvoelcker.de,,https://www.linkedin.com/in/claas-voelcker/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/30f7e86f-438e-4793-8429-5bfa8022846e/resume,,,,,linkedin,2022-02-17T17:33:58.285Z,2022-02-17T17:33:58.721Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,"Amir-massoud Farahmand, Animesh Garg",Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/claas-voelcker/,,Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Education, Software, Technology (Information and Media), Technology (Product Development)",Internship,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,False,True,True -47472751-165d-4005-b172-b216a5408b5a,mfarooq28@gmail.com,Muhammad,Farooq,https://talenthub.vectorinstitute.ai/profiles/1646910/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-02-18T05:26:03.088Z,2020-02-18T05:26:03.260Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,No,Already Graduated,I am interested to join Vector Institute,Mr.,Not Found,,Graduate Degree (Masters),,Computer Science,Technology (Information and Media),Internship,,Other,True,True,True,True -c6fa78fd-afb0-4874-ba72-17c79e06aded,e.mirshekari@gmail.com,Ellie,Mirshekari,https://talenthub.vectorinstitute.ai/profiles/1649320/view_image/0.jpeg,,,,,,,https://www.linkedin.com/in/Ellie-Mirshekari,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c6fa78fd-afb0-4874-ba72-17c79e06aded/resume,,,,,linkedin,2020-02-20T19:27:37.499Z,2020-02-20T19:27:37.800Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,I am keen to join Vector Institute team.,Ms.,https://www.linkedin.com/in/Ellie-Mirshekari,,Graduate Degree (Masters),,Scientific Computing,"Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op, Contract, Capstone Project",,Other,True,True,True,True -fb68f136-bf57-49b1-bc4b-3e1cc81501a2,yongchanghao.w@gmail.com,Yongchang,Hao,https://talenthub.vectorinstitute.ai/profiles/2767899/view_image/1628354557165.jpeg,,,+1 587 594 2069,,https://yongchanghao.github.io,,https://www.linkedin.com/in/yongchang-hao/,,True,False,,Edmonton,Alberta,,Canada,linkedin,2022-04-13T23:14:06.255Z,2022-04-13T23:14:06.845Z,False,False,Connected to Another AI Institute,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/yongchang-hao/,"Machine learning, Natural language processing, Reinforcement learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computing science,Technology (Information and Media),"Full Time, Internship","Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,False,True,True -d8f27b92-9d55-4c69-b4fd-1f5bf7861f21,koosha.g@ualberta.ca,Koosha,"Golmohammadi, PhD",https://talenthub.vectorinstitute.ai/profiles/1661934/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-03-05T03:05:50.988Z,2020-03-05T03:05:51.243Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/kooshag/,,,,,,,,,True,,True,True -2beefac2-28e3-452c-9aae-d01ac1f41ad1,pastor.teen.awo@gmail.com,Ayodeji,Awoneye,https://talenthub.vectorinstitute.ai/profiles/1679602/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-03-18T13:37:33.589Z,2020-03-18T13:37:33.776Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/ayodeji-awoneye-6b5821103/,,,,,,,,,True,True,True,True +d6c2dcbc-daeb-4db8-8cd1-30167520448a,rohanboney@hotmail.com,Rohan,"Boney, MMA",https://talenthub.vectorinstitute.ai/profiles/2989443/view_image/1548990401621.jpeg,,"I am a data enthusiast who loves to deep dive and make great insights into data. I am looking to leverage the skills I have learned through various avenues. I have knowledge of statistical methods, regressions, as well machine learning methods. My skills include Python, R, SQL, Power BI, and Tableau.",,,,,https://www.linkedin.com/in/rohan-boney/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d6c2dcbc-daeb-4db8-8cd1-30167520448a/resume,,,,,linkedin,2022-09-06T16:17:46.416Z,2022-09-19T13:19:50.054Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/rohan-boney/,Data science,Graduate Degree (Masters),Entry Level (0-2 Years),Management Analytics,"Financial Services, Professional Services (e.g Consulting), Technology (Information and Media)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",Queen's University,True,True,True,True +af0c1334-7344-4e84-8f2f-a654ef292b62,mahajan@ualberta.ca,Anmol,Mahajan,https://talenthub.vectorinstitute.ai/profiles/2767845/view_image/1646679071047.jpeg,Machine Learning Developer,"Experienced Machine Learning Engineer with a demonstrated work history in the financial industry. +A collaborative researcher with 2+ years of machine learning experience. My research interest lies in discovering prediction models to forecast financial behaviour of customers on real world tasks involving insufficient data. +At Servus Credit Union, I am a part of the Data Science Team where I am responsible for developing novel Machine Learning models for financial forecasting, customer financial behaviour prediction and retention models. In my role, I work towards deploying Machine Learning models and building end-to-end data pipelines.",5879375606,,https://anmolmahajan98.github.io,,https://www.linkedin.com/in/anmol-mahajan-338605157/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/af0c1334-7344-4e84-8f2f-a654ef292b62/resume,,,,Canada,linkedin,2022-04-13T21:43:05.648Z,2022-11-16T16:48:19.353Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/anmol-mahajan-338605157/,"Anomaly detection, Data science, Few-shot learning, Machine learning, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),Computing Science,"Financial Services, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,True,True,True +b04daf4a-90cc-4c78-a3ae-baa7a554deef,mak.jacqueline30@gmail.com,Jacqueline,"Mak,",https://talenthub.vectorinstitute.ai/profiles/2444688/view_image/1601573416848.jpeg,Project Manager,"• PMP Certified Project Manager with 5+ experience managing multiple projects concurrently +• Subject Matter Expert in Procurement and Contract Management +• Strong knowledge of Scaled Agile Framework (SAFe), ITIL concepts, experience in Program Increment (PI) and sprint planning in an Agile environment as a Knowledge and Content Manager, Product Owner and Scrum Master",4164183300,,,,https://www.linkedin.com/in/jacquelinemak30/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b04daf4a-90cc-4c78-a3ae-baa7a554deef/resume,Toronto,Ontario,,Canada,linkedin,2021-07-23T01:35:46.820Z,2021-07-23T01:35:47.014Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mrs.,https://www.linkedin.com/in/jacquelinemak30/,"Data science, Graphical models, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management Analytics,"Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Product/Project Manager",Queen's University,True,True,True,True +ac332d7f-7167-4107-a358-884a81789ba5,abew@cs.toronto.edu,Abenezer,Teklemariam,https://talenthub.vectorinstitute.ai/profiles/2556024/view_image/1610575213050.jpeg,Machine Learning Engineer,"Engineering Physicist by training with 3 years of cumulative experience in research & development, consumer products as well as biotech industry. Experiences include developing a program that implemented an SVM algorithm to predict posture and also setting up a standalone database in SQL based system. Peaked interest in pattern recognition and the novelty of the field have led me to consider a career in Machine Learning for health.",,,,,https://www.linkedin.com/in/abeteklemariam/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ac332d7f-7167-4107-a358-884a81789ba5/resume,,,,,linkedin,2021-10-21T22:53:55.636Z,2021-10-25T05:04:27.740Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/abeteklemariam/,"Computational biology, Healthcare and/or medical imaging, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Science in Applied Computing,"Financial Services, Health, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship","Data Scientist, Machine Learning Engineer, Software Engineer",University of Toronto,True,False,True,True +c37c7ad3-0801-4043-b5b3-80db032d6d8a,christina.616v@gmail.com,Yuxin,Zhuang,https://talenthub.vectorinstitute.ai/profiles/2617678/view_image/IMG_4182.jpg,Data Analyst | Schulich Master of Business Analytics Graduate,"My name is Yuxin Zhuang and I just graduated from Schulich with a master's degree in business analytics. I enjoy playing with data and joined Ontario Power Generation Inc. as a data consultant while I was still in school. Devoted to raising the efficiency of the HR department, I led the team to build the ticket classification model, reaching an accuracy of over 90%, saving hundreds of hours for the HR team. Now I want to expand my skillset and explore more opportunities in other fields, continuing to make contributions to the company with the power of data. +""",6476713665,,,,,,True,False,,Toronto,Ontario,,Canada,,2021-12-16T02:34:14.790Z,2021-12-16T02:34:14.843Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/yuxin-zhuang-5134351a9/,"Generative modeling, Machine learning, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Business Analytics,Type of Work is More Important to me than Sector,"Full Time, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer",York University,True,False,True,True +bc9fa179-ca1a-49d3-a934-77c8ce82cb2c,hadizadeh@outlook.com,Ali,Hadizadeh,https://talenthub.vectorinstitute.ai/profiles/3005664/view_image/1651792709736.jpeg,Ph.D. Candidate @ University of Toronto; Postgraduate Affiliate @ Vector Institute,"I am a Ph.D. Candidate at the University of Toronto and Postgraduate Affiliate at Vector Institute. My research mainly focuses on the efficient inference of Transformer models for NLP applications. We propose model compression techniques such as Post-Training Quantization to compress NLP models' parameters and activations. Our main goal is to significantly reduce off-chip traffic, the main bottleneck for performance and energy consumption. To employ compressed models on edge or even in data centers, we tailor hardware accelerators capable of exploiting compact models to make inference faster and more energy-efficient. +I am also a course instructor at UofT, teaching machine learning and deep learning for grad students.",,,https://hadiza.de/,,https://www.linkedin.com/in/alihadizadeh/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/bc9fa179-ca1a-49d3-a934-77c8ce82cb2c/resume,Toronto,Ontario,,Canada,linkedin,2022-09-16T20:17:31.154Z,2022-09-27T13:39:56.446Z,False,False,Internal Staff,Yes,Post Graduate Affiliate,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/alihadizadeh/,"Deep learning, Natural language processing",Postgraduate Degree (PhD),Senior Level (5+ Years),4,Type of Work is More Important to me than Sector,Full Time,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,False,True,True +8a97ad94-9c6d-4e17-8f2a-2d07287f0fd4,kasra.khalafi@queensu.ca,Kasra,Khalafi,https://talenthub.vectorinstitute.ai/profiles/2624537/view_image/5-KasraKhalafiPhoto_-_Copy.jpg,MASc Student,My name is Kasra Khalafi and I am a MASc student in the Electrical and Computer Engineering department at Queen's University,+1(514) 448-3806,,,,https://www.linkedin.com/in/kasra-khalafi/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8a97ad94-9c6d-4e17-8f2a-2d07287f0fd4/resume,Kingston,Ontario,,Canada,,2021-12-22T19:55:57.106Z,2021-12-23T01:46:50.462Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/kasra-khalafi/,"Deep learning, Machine learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),MASc in Electrical and Computer Engineering,"Education, Health, Telecommunications",Internship,"Data Engineer, Data Scientist, Machine Learning Engineer, Other ",Queen's University,True,True,True,True +6c91f51e-3a2f-44b2-b41f-3aa4f9385869,vigneshedithal11031997v@gmail.com,Vignesh,Edithal,https://talenthub.vectorinstitute.ai/profiles/2843412/view_image/1517461994436.jpeg,,,,,,,https://www.linkedin.com/in/edithal/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6c91f51e-3a2f-44b2-b41f-3aa4f9385869/resume,Toronto,Ontario,,Canada,linkedin,2022-06-06T04:54:34.101Z,2022-06-15T15:15:18.230Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/vignesh-edithal-7b2844125/,"Data science, Deep learning, Machine learning",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),MScAC,Type of Work is More Important to me than Sector,Internship,"Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True +885ba94d-8974-47d9-8148-61766f036192,raeidsaqur@cs.toronto.edu,Raeid,Saqur,https://talenthub.vectorinstitute.ai/profiles/3009608/view_image/1552079090562.jpeg,,,,,https://www.cs.toronto.edu/~raeidsaqur/,,,RaeidSaque,True,False,,,,,,linkedin,2022-09-20T00:01:35.997Z,2022-09-20T00:01:36.715Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/raeidsaqur/,"Graphical models, Machine learning, Natural language processing, Reinforcement learning, Representation learning, Robotics",Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Science,,Internship,Machine Learning Researcher/Scientist ,University of Toronto,True,False,True,True +bf5c025f-6aba-4d20-99fb-9f33ba0fbcc8,wq248989368@gmail.com,Annita (Qu),Wen,https://talenthub.vectorinstitute.ai/profiles/2636751/view_image/1635255240911.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-01-05T02:13:54.699Z,2022-01-05T02:13:55.146Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/qwen27/,,,,,,,,,True,True,True,True +3928d174-bb10-49d5-a55c-514df898c85d,nandhu.cs@queensu.ca,Nandhu,Chandrasekharan S,https://talenthub.vectorinstitute.ai/profiles/1729332/view_image/RKPH8664__2__-_Copy_-_Copy.JPG,Analytics Professional ,,4372196044,,,,http://www.linkedin.com/in/nandhu-cs,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3928d174-bb10-49d5-a55c-514df898c85d/resume,Toronto,Ontario,,Canada,,2020-04-27T18:07:24.478Z,2020-09-22T18:41:08.283Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/nandhu-cs/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Masters of Management Analytics,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Contract",,Queen's University,True,True,True,True +67730d15-3f36-497e-ad1a-02e9d722382e,vaakesan.sundrelingam@gmail.com,Vaakesan,Sundrelingam,https://talenthub.vectorinstitute.ai/profiles/1617366/view_image/XT3A2042_copy_adjusted.jpg,Graduate Student at University of Waterloo,"Machine Learning, Data Science, and Advanced Analytics. +Always learning. Solving problems. 3+ years of experience creating value from data.",,,https://sundrelingam.github.io/vaakesan/,,https://www.linkedin.com/in/vaakesansundrelingam/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/67730d15-3f36-497e-ad1a-02e9d722382e/resume,,,,,linkedin,2020-01-26T01:09:49.156Z,2021-06-14T15:52:33.145Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/vaakesansundrelingam/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),MMath Statistics (Data Science Specialization),Type of Work is More Important to me than Sector,Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer",University of Waterloo,True,True,True,True +81e06d8a-c548-4910-b298-a37405c7b8ae,srinidhipy@gmail.com,Chetan,Srinidhi,https://talenthub.vectorinstitute.ai/profiles/2513561/view_image/Chetan_Srinidhi.png,Postdoctoral Fellow,"I am a Postdoc Fellow at the Sunnybrook Research Institute, Department of Medical Biophysics, University of Toronto, supervised by Prof. Anne L. Martel. Previously, I completed my Ph.D. at the Department of Electronics and Communication Engineering, National Institute of Technology Karnataka (NITK), Surathkal, India. +My research focuses on the interdisciplinary field of medical image analysis and artificial intelligence, with an emphasis on computational pathology for improving cancer diagnosis and patient survival outcomes. Specifically, I am interested in developing annotation efficient machine learning methods for healthcare applications with a strong focus on Self-supervised, Semi-supervised, Weakly-supervised, and Curriculum-based learning methods.",4379858050,,https://srinidhipy.github.io/,,https://www.linkedin.com/in/chetan-srinidhi-a44437178/,ChetanSrinidhi,True,False,https://canadaai.jobboard.io/api/v1/profiles/81e06d8a-c548-4910-b298-a37405c7b8ae/resume,Toronto,Ontario,,Canada,,2021-09-17T14:28:25.456Z,2021-10-15T02:40:26.748Z,False,False,Connected to Vector Research,Yes,Vector Faculty or Faculty Affiliate,Prof. Anne L. Martel,Already Graduated,,Dr.,https://www.linkedin.com/in/chetan-srinidhi-a44437178/,"Computer vision, Healthcare and/or medical imaging, Self-supervised learning",Postgraduate Degree (PhD),Senior Level (5+ Years),Postdoctoral Fellow,"Health, Technology (Product Development)",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",University of Toronto,True,True,True,True +cafa65c3-d672-4404-b473-e88aaea0c665,jixuan.cs@gmail.com,Jixuan,Wang,https://talenthub.vectorinstitute.ai/profiles/2154195/view_image/1606494726079.jpeg,,"I'm a PhD student at the University of Toronto. My research interest is applying deep learning and machine learning for conversational understanding, such as speaker/speech recogntion and NLP. I'm also interested in meta-learning, transfer learning and graph neural networks in general.",6476758633,,http://www.cs.toronto.edu/~jixuan/,,https://www.linkedin.com/in/jixuan-wang/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/cafa65c3-d672-4404-b473-e88aaea0c665/resume,Toronto,Ontario,,Canada,linkedin,2020-12-09T04:37:40.030Z,2021-07-22T13:56:12.068Z,False,False,Connected to Vector Research,Yes,Post Graduate Affiliate,"Frank Rudzicz, Michael Brudno",Already Graduated,,Mr.,https://www.linkedin.com/in/jixuan-wang/,"Deep learning, Few-shot learning, Machine learning, Meta-learning, Natural language processing, Representation learning, Self-supervised learning, Transfer learning",Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Science,Type of Work is More Important to me than Sector,Full Time,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +0a692a5a-e494-40ae-ad25-f3b76ea40fba,jackxsj1999@gmail.com,Sijie,Xu,https://talenthub.vectorinstitute.ai/profiles/2680383/view_image/1540843879905.jpeg,MMath in Data Science & Artificial Intelligence @ UW,,6476746066,,,,https://www.linkedin.com/in/sijie-xu/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0a692a5a-e494-40ae-ad25-f3b76ea40fba/resume,,,,,linkedin,2022-02-07T04:37:21.575Z,2022-02-07T04:37:22.094Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/sijie-xu/,"Bioinformatics, Data science, Deep learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Science & Artificial Intelligence,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Waterloo,True,True,True,True +71883737-b0d0-4d8c-bb3c-57bd37ede3d7,rex.ma@mail.utoronto.ca,Rex,Ma,https://talenthub.vectorinstitute.ai/profiles/2120539/view_image/0.jpeg,"PhD in Computer Science, University of Toronto","Rex is currently a Computer Science Ph.D. student at the University of Toronto. He is a creative researcher and experienced software engineer. Rex is especially good at coding and mathematics, and his research focuses on machine learning, AI in healthcare, and computation biology. ",3069140122,,,,https://www.linkedin.com/in/rex-ma-20a455113/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/71883737-b0d0-4d8c-bb3c-57bd37ede3d7/resume,Toronto,Ontario,,Canada,linkedin,2020-11-02T22:12:53.499Z,2021-10-27T01:05:10.297Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,"Anna Goldenberg, Bo Wang",Fall 2024 (August - November),,Mr.,https://www.linkedin.com/in/rex-ma-20a455113/,"Computational biology, Deep learning, Healthcare and/or medical imaging, Time-series forecasting and modelling",Postgraduate Degree (PhD),Entry Level (0-2 Years),Computer Science,"Education, Financial Services, Health, Software, Technology (Product Development)","Internship, Co-op, Capstone Project",,University of Toronto,True,True,True,True +216bf757-a942-43f0-8f6d-851009842865,danielmei@gmail.com,Daniel,Mei,https://talenthub.vectorinstitute.ai/profiles/2718577/view_image/1600347692376.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-03-07T21:07:22.308Z,2022-03-07T21:07:22.798Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/daniel--mei/,,,,,,,,,True,True,True,True +71883737-b0d0-4d8c-bb3c-57bd37ede3d7,rex.ma@mail.utoronto.ca,Rex,Ma,https://talenthub.vectorinstitute.ai/profiles/2120539/view_image/0.jpeg,"PhD in Computer Science, University of Toronto","Rex is currently a Computer Science Ph.D. student at the University of Toronto. He is a creative researcher and experienced software engineer. Rex is especially good at coding and mathematics, and his research focuses on machine learning, AI in healthcare, and computation biology. ",3069140122,,,,https://www.linkedin.com/in/rex-ma-20a455113/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/71883737-b0d0-4d8c-bb3c-57bd37ede3d7/resume,Toronto,Ontario,,Canada,linkedin,2020-11-02T22:12:53.499Z,2021-10-27T01:05:10.297Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,"Anna Goldenberg, Bo Wang",Fall 2024 (August - November),,Mr.,https://www.linkedin.com/in/rex-ma-20a455113/,"Computational biology, Deep learning, Healthcare and/or medical imaging, Time-series forecasting and modelling",Postgraduate Degree (PhD),Entry Level (0-2 Years),Computer Science,"Education, Financial Services, Health, Software, Technology (Product Development)","Internship, Co-op, Capstone Project",,University of Toronto,True,True,True,True +216bf757-a942-43f0-8f6d-851009842865,danielmei@gmail.com,Daniel,Mei,https://talenthub.vectorinstitute.ai/profiles/2718577/view_image/1600347692376.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-03-07T21:07:22.308Z,2022-03-07T21:07:22.798Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/daniel--mei/,,,,,,,,,True,True,True,True +d18dfa10-e878-4e49-b382-d9eb0dedfd08,ymkhaw@gmail.com,Yew Meng,Khaw,https://talenthub.vectorinstitute.ai/profiles/2162977/view_image/1605913323040.jpeg,Senior Consultant - Data & Analytics at EY,,,,,,https://www.linkedin.com/in/yewmeng-khaw,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d18dfa10-e878-4e49-b382-d9eb0dedfd08/resume,Toronto,Ontario,,Canada,linkedin,2020-12-18T15:08:01.341Z,2021-01-04T19:43:15.536Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Scott Sanner,Already Graduated,Student of Prof. Sanner and Prof. Sanner is a co-author of my papers,Mr.,www.linkedin.com/in/yewmeng-khaw,"Anomaly detection, Deep learning, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Applied Science - Electrical and Computer Engineering,"Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)",Full Time,,University of Toronto,True,True,True,True +31838523-295c-4d57-b258-d51ccc410190,namratadeka5@gmail.com,Namrata,Deka,https://talenthub.vectorinstitute.ai/profiles/2648548/view_image/avatar_hu6b7664f523075193f9f11d79c1c9dcfa_98216_270x270_fill_q90_lanczos_center.jpg,"MSc. Computer Science, UBC",,(672) 999-6762,,https://namratadeka.github.io/,,https://www.linkedin.com/in/namrata-deka/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/31838523-295c-4d57-b258-d51ccc410190/resume,Vancouver,British Columbia,,Canada,,2022-01-13T20:27:34.023Z,2022-01-15T06:11:54.178Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Ms.,https://www.linkedin.com/in/namrata-deka/,"Computer vision, Fairness, Representation learning",Graduate Degree (Masters),Mid-Level (3-5 Years),2,Type of Work is More Important to me than Sector,Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True +b95cb9a1-ed97-4e5a-87bc-5f7cf168188f,chahakpatel7@gmail.com,Chahak,Patel,https://talenthub.vectorinstitute.ai/profiles/2450727/view_image/1586297814463.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-07-28T20:15:59.825Z,2021-07-28T20:16:00.012Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/chahakp7/,,,,,,,,,True,False,True,True +4eaaaadd-06d1-4a19-a95e-085e623e13f0,marilise.m.kassouf@gmail.com,Marilise,"Kassouf, PMP",https://talenthub.vectorinstitute.ai/profiles/1955496/view_image/0.jpeg,Healthcare Solutions | Beneficial AI | Strategy and Operations,"Deep background in medical devices and hospital systems, product lifecycle management, process improvement, clinical and technical operations, procurement strategy, and public-private partnerships. With a broad experience engineering solutions and managing complex programs from inception to execution in academic, public, and private sectors, my initiatives are all driven by a passion for health innovation and equity, quality, and knowledge transfer. +Intrigued by the application of Data Science to healthcare problems, I deeply care about the ethical, safe, and effective use of AI, and the impact that AI-enabled technologies can have on sustainable development and increasing global access to essential services. +I am innovative and meticulous in transferring knowledge from research to practice, communicating complex information to technical and non-technical audiences in different cultural settings, and developing new technologies, capacities and strong partnerships to support organizational maturity and business growth. +Having lived and worked in Europe, the Middle East and Canada, and collaborated with partners in France, Austria, USA, Brazil, Japan, and the Arab Gulf countries, I am a globally minded professional who enjoys discussing new ideas and solving problems with curious and talented people. Let’s connect! +Specialties: product and program management, healthcare operations design, business growth, strategy, training and development, medical devices, SDLC, intelligent automation, cloud architecture, data governance and management, and user experience.",6476461221,,,,https://www.linkedin.com/in/marilisekassouf/,,True,False,,Toronto,Ontario,,Canada,linkedin,2020-08-27T23:39:29.329Z,2020-12-10T12:21:19.786Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/marilisekassouf/,,Graduate Degree (Masters),Senior Level (5+ Years),"Biomedical Engineering, Health Informatics","Education, Health, Professional Services (e.g Consulting), Software, Technology (Product Development)",Full Time,,University of Toronto,True,True,True,True +f814a224-1b08-478f-a8a9-f33b6c65c0ca,capachecope@gmail.com,Carolina,"Pacheco Pereyra, MBA, MMAI",https://talenthub.vectorinstitute.ai/profiles/1550703/view_image/0.jpeg,Digital Transformation and AI Adoption Lead,"AI and ML enthusiast with a Master of Management in Artificial Intelligence. Digital transformation and technology lead with 15+ years of combined international experience. A demonstrated history of leading large-scale digital transformation in a global ecosystem delivering best-in-class digital consumer experiences. Experience translating business strategy, analysis and data into consumer facing digital services and products. Trusted advisor and consultant, I architect, define, and implement digital strategies to support business goals. Highly developed communication and interpersonal skills with a particular interest in managing people, projects and diverse cultural business practices. With a bias for action and delivery, I thrive in a fast-paced, make-it-work environment. Love to design, build and execute. I’m also fanatical about personal growth and development. A passionate advocate for women's professional advancement who can often be found speaking at networking engagements and mentoring young professionals both individually and in group settings.",416 -570-0626,,,,https://www.linkedin.com/in/capachecope/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f814a224-1b08-478f-a8a9-f33b6c65c0ca/resume,Toronto,Ontario,,Canada,linkedin,2019-12-03T16:36:32.182Z,2020-09-29T14:43:41.497Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/capachecope/,,Graduate Degree (Masters),Senior Level (5+ Years),MMAI,"Financial Services, Retail, Telecommunications","Full Time, Contract",,Queen's University,True,True,True,True +3c3ab423-09a6-4320-9b5c-b11c0b5b616d,michael.dewit@mail.utoronto.ca,Michael,De Wit,https://talenthub.vectorinstitute.ai/profiles/1563109/view_image/0.jpeg,Registered Nurse studying Health Informatics,"I am a graduate student at the University of Toronto pursuing my Master’s in Health Informatics and a Registered Nurse with frontline emergency medicine experience. +My interests lie in the judicious use of health information technology to improve the integration and quality of patient care, the effectiveness of clinicians, and the sustainability of our healthcare system. ",,,,,https://www.linkedin.com/in/michael-dewit/,,True,False,,Toronto,Ontario,,Canada,linkedin,2019-12-13T15:55:33.145Z,2019-12-13T15:55:33.350Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,,,Mr.,https://www.linkedin.com/in/michael-dewit/,,,,Master of Health Informatics,Health,Internship,,University of Toronto,True,False,True,True +24bedce7-b7ae-4f9d-8ca6-c7d7b75f9593,mudassir.mohammed1@ontariotechu.net,Mudassir,Mohammed,https://talenthub.vectorinstitute.ai/profiles/1932129/view_image/Visa_Photograph.JPG,Software Developer,,2896859168,,,,https://www.linkedin.com/in/mudassir-mohammed-64315883,,True,False,https://canadaai.jobboard.io/api/v1/profiles/24bedce7-b7ae-4f9d-8ca6-c7d7b75f9593/resume,Oshawa,Ontario,,Canada,,2020-08-13T19:40:01.189Z,2021-01-15T19:27:19.648Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/mudassir-mohammed-64315883,,Graduate Degree (Masters),Mid-Level (3-5 Years),Information Technology Security in Artificial Intelligence,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Contract",,OntarioTech University,True,True,True,True +826407cb-67f1-4059-8221-f2705fe27edb,yi.liu@queensu.ca,Eve,Liu,https://talenthub.vectorinstitute.ai/profiles/1932222/view_image/Image.3.jpg,AI Capstone Project at RBC Capital Markets,"I'm a member of MMAI '21 class at Smith School of Business at Queen's University. I'm a director at Lawli to use AI to reduce turnaround time and costs in legal services. Prior to Lawli, I co-founded award-winning video game software development and publishing company Mad Fellows which is distributing digital games globally. Mad Fellows developed proprietary development automation which substantially reduced labor requirements by 500%. Game Aaero was Best Xbox One Game of 2017 ranked #18 in July by Metacritic, won TrueAchievements Game of the Year 2017, received 9.5/10 from Forbes and was shown on Sky News channel at prime time. Mad Fellows was Top 50 Most Creative Companies in England by The Telegraph, and is generating sustainable revenues and growth. +Previously, I worked at Blackstone (Blackstone Alternative Asset Management), Deutsche Bank (Hedge Fund Capital Group), Pantheon Ventures (PE $50bn, Investment Analytics) and Grisons Peak (FIG M&A Advisory) in London, England. I graduated Cum Laude from Hamilton College (Clinton, NY) with Honors in Economics and Minor in Mathematics. I have also attended University of Oxford, St. Catherine’s College and read Politics, Philosophy and Economics (PPE) subjects.",4379861656,,,,https://www.linkedin.com/in/eveliu/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/826407cb-67f1-4059-8221-f2705fe27edb/resume,Toronto,Ontario,,Canada,,2020-08-13T19:41:03.956Z,2021-05-12T00:32:54.834Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/eveliu/,"Deep learning, Natural language processing, Reinforcement learning",Graduate Degree (Masters),Senior Level (5+ Years),MMAI,Financial Services,Full Time,"Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True +1abe1ebb-8a87-4795-a281-61817f08c587,carson.mclean@mail.utoronto.ca,Carson,McLean,https://talenthub.vectorinstitute.ai/profiles/1944063/view_image/PXL_20201026_172944761.PORTRAIT-01.COVER.jpg,Applied Research Scientist Intern at Georgian,,(780) 680-1867,,https://github.com/carsonmclean/,,https://www.linkedin.com/in/carsonmclean/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/1abe1ebb-8a87-4795-a281-61817f08c587/resume,Toronto,Ontario,,Canada,,2020-08-20T16:44:24.300Z,2021-01-31T23:12:42.983Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Dr. Anna Goldenberg,Already Graduated,,Mr.,https://www.linkedin.com/in/carsonmclean/,"Anomaly detection, Computer vision, Data science, Deep learning, Healthcare and/or medical imaging, Machine learning, Online learning, Reinforcement learning, Time-series forecasting and modelling, Transfer learning",Graduate Degree (Masters),Entry Level (0-2 Years),MSc in Computer Science (ML in Healthcare),"Construction or Infrastructure, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Contract",,University of Toronto,True,True,True,True +a156b981-16f6-4b47-9aff-d0f31e7f74dd,vaibhavbatra.1506@gmail.com,Vaibhav,Batra,https://talenthub.vectorinstitute.ai/profiles/1932125/view_image/Vaibhav_Batra.JPG,"Data Science Enthusiast, Ex- Software Developer","Vaibhav is a data enthusiast who enjoys harnessing data to bring insights into the light, helping organizations make critical decisions. He is currently pursuing Master of Management Analytics at Rotman. ",,,,,https://www.linkedin.com/in/vaibhavbatra/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a156b981-16f6-4b47-9aff-d0f31e7f74dd/resume,Toronto,Ontario,,Canada,,2020-08-13T19:39:57.209Z,2020-09-18T05:25:09.738Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/vaibhavbatra/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management Analytics,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,,University of Toronto,True,False,True,True +9846fdb6-5b76-4e66-aa91-9f95893d7868,19hz81@queensu.ca,Gary,Zhang,https://talenthub.vectorinstitute.ai/profiles/1932234/view_image/pic.jpg,EIT,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9846fdb6-5b76-4e66-aa91-9f95893d7868/resume,,Ontario,,Canada,,2020-08-13T19:41:12.917Z,2020-09-22T13:49:34.267Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,N/A,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management of AI,"Construction or Infrastructure, Education, Financial Services, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract, Capstone Project",,Queen's University,True,True,True,True +dc3f11d2-0c76-4758-9a85-310ac7b208b3,nilufa.yeasmin.cs@gmail.com,Nilufa,Yeasmin,https://talenthub.vectorinstitute.ai/profiles/1932316/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-08-13T20:51:14.244Z,2020-08-13T20:51:14.444Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/nilufayeasmin/,,,,,,,,,,,, +8d8e917d-a30a-4106-8e5c-a311035ae597,m7karimi@uwaterloo.ca,Mehdi,Karimi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Postdoctoral Fellow,,,,http://www.math.uwaterloo.ca/~m7karimi/DDS.html,,https://www.linkedin.com/in/mehdi-karimi-91324b115,,True,True,https://canadaai.jobboard.io/api/v1/profiles/8d8e917d-a30a-4106-8e5c-a311035ae597/resume,,,,,linkedin,2019-12-13T17:39:40.802Z,2019-12-13T17:39:41.513Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Dr.,https://www.linkedin.com/in/mehdi-karimi-91324b115,,,,Combinatorics and Optimization,Telecommunications,Full Time,,University of Waterloo,True,True,True,True +1950f597-ec94-4fe1-97d2-a4f72c1aff4a,irene.chen@edu.uwaterloo.ca,Irene XiangYi,Chen,https://talenthub.vectorinstitute.ai/profiles/1932760/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-08-14T05:45:08.304Z,2020-08-14T05:45:08.563Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/irenexychen/,,,,,,,,,True,True,True,True +d885a537-5454-435a-af58-c1d22327d48a,jng.bus.in.ass@gmail.com,Jae Duk,Seo,https://talenthub.vectorinstitute.ai/profiles/1932673/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-08-14T04:28:11.329Z,2020-08-14T04:28:11.520Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/jaedukseo/,,,,,,,,,True,True,True,True +796ff0b6-0005-4d17-90ad-00a05d2d6ae7,shivani404sheth@gmail.com,Shivani,Sheth,https://talenthub.vectorinstitute.ai/profiles/1916725/view_image/0.jpeg,"Project Management Intern at Vector. Specialize in Data Science, Machine Learning with previous experience in Software Development and Engineering.","Hello! I am a Master's student in Computer Science (Artificial Intelligence Specialization) at York University. My area of expertise is Machine Learning and Data Science, but I have also have experience in Software Engineering and Development. I have led tech and non tech teams at a student and corporate level through my journey in STEM. I am inquisitive by nature and I love learning new things in the tech domain. Feel free to reach out for my resume and portfolio! +Technical Skills: +1. Artificial Intelligence Models: Neural Networks, Long Short Term Memory Networks/ LSTMs ( Natural Language Processing ), Convolution Neural Networks/ CNNs ( Computer Vision ), Generative Adversarial Networks/ GANs ( Image Processing ), Autoregressive integrated moving average/ ARIMA ( Time Series ). +2. Machine Learning Algorithms: +- Supervised: Classification (K-Nearest Neighbors, Decision Trees, Logistic Regression, Support Vector Machine), Regression (Simple, Multiple, Polynomial). +- Unsupervised: K- means Clustering, Hierarchical (Agglomerative) Clustering, Density-based Clustering. +3. Python Libraries: Pandas, Scikit-learn, Matplotlib, Seaborn, Folium, Numpy, SciPy. +4. Deep Learning Frameworks: TensorFlow, PyTorch. +5. Programming Languages: Python, SQL, Java, HTML. +6. Operating Systems: Windows, Linux (Ubuntu). +7. Softwares: Anaconda, Jupyter Notebook, Spyder, Tableau, IBM Watson, PyCharm, MySQL Workbench, Microsoft Excel. +If you think I'm a good match for your company, I would be happy to hear from you on shivani404sheth@gmail.com",+16475076732,,https://shivanisheth.netlify.app/,,https://www.linkedin.com/in/shivani-sheth-784896165,,True,False,https://canadaai.jobboard.io/api/v1/profiles/796ff0b6-0005-4d17-90ad-00a05d2d6ae7/resume,Toronto,Ontario,,Canada,linkedin,2020-08-08T12:52:45.440Z,2022-03-21T03:09:05.254Z,False,False,Recognized Masters Program,Yes,Other/Unsure,,Already Graduated,Intern at Vector - Project Management,Ms.,https://www.linkedin.com/in/shivani-sheth-784896165,,Graduate Degree (Masters),Entry Level (0-2 Years),MSc in Computer Science with Specialization in AI,"Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",York University,True,False,True,True +3d317884-5d8c-435c-bb97-98fa1fef9a42,tanjeem.taha@mail.utoronto.ca,Tanjeem,Taha,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Research Assistant and Project Coordinator at Women's College Hospital,"Currently pursuing a master's degree in Health Informatics and will be graduating in 2022. Working at Women's College Hospital Institute for Health System Solutions and Virtual Care (WIHV) as a research assistant and project coordinator. Interested in data analytics, project management, human factors and systems design. Motivated individual looking to build her knowledge of AI and project design to improve access to care for all Canadians and have an impact in eHealth. She is actively working on the skills necessary for upcoming changes in digital health. ",,,,,https://www.linkedin.com/in/tanjeem-taha/,,True,True,https://canadaai.jobboard.io/api/v1/profiles/3d317884-5d8c-435c-bb97-98fa1fef9a42/resume,,,,,,2020-08-13T19:40:50.497Z,2020-09-28T05:33:18.867Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Master of Health Informatics,Already Graduated,,Miss.,www.linkedin.com/in/tanjeem-taha,,Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Bachelor of Science (Life Sciences),"Health, Professional Services (e.g Consulting), Software, Technology (Product Development)","Full Time, Internship, Co-op, Contract, Capstone Project",,University of Toronto,True,True,True,True +553e348c-6750-4240-93a7-813578f37d5e,20naje@queensu.ca,Ngozi,Emeh-Festus,https://talenthub.vectorinstitute.ai/profiles/2482776/view_image/me-snipped.PNG,PRODUCT MANAGER & STRATEGIST | ARTIFICIAL INTELLIGENCE,"12 years software industry experience, 6 years as product manager and 3 years in AI strategy. Coded, launched and managed highly technical web and mobile products, reversing declining performances,increased customer acquisition and retention,stimulated year by year revenue growth. Winner: Product Faculty's summer 2021 capstone project. Won with feature developed for Netflix to enable global expansion and 20% increase in yearly recurrent revenue.",,,,,https://www.linkedin.com/in/ngozi-emeh-festus-33010759/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/553e348c-6750-4240-93a7-813578f37d5e/resume,,Ontario,,Canada,,2021-08-25T18:52:04.917Z,2021-09-23T13:11:11.923Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mrs.,https://www.linkedin.com/in/ngozi-emeh-festus-33010759/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Senior Level (5+ Years),Masters of Management in Artificial Intelligence,"Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Scientist, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Queen's University,True,True,True,True +2487a02f-39f7-43dd-93c6-bf7c5b31ba9b,denisa.bani@hotmail.com,Denisa,Bani,https://talenthub.vectorinstitute.ai/profiles/1551122/view_image/0.jpeg,"UofT physics graduate, Rotman Master of Management Analytics Candidate ","A recent physics graduate from the University of Toronto, St. George that is pursuing a Masters in Management Analytics at the Rotman School of Management. My educational background has allowed me to develop strong quantitative skills that I can apply to analyze and interpret data using SAS, R, SQL, Python, MATLAB and Excel. Passionately curious, quantitative and team-oriented - my interests lie in how to optimize businesses using data science. ",6475688281,,,,https://www.linkedin.com/in/denisabani/,BaniDenisa,True,False,https://canadaai.jobboard.io/api/v1/profiles/2487a02f-39f7-43dd-93c6-bf7c5b31ba9b/resume,Toronto,Ontario,,Canada,linkedin,2019-12-03T20:53:00.398Z,2020-04-07T21:03:27.038Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,,,Miss.,https://www.linkedin.com/in/denisabani/,,,,I studied physics for my undergrad and am now pursuing a Master of Management Analytics at Rotman.,Financial Services,"Full Time, Internship, Contract",,University of Toronto,True,True,True,True +23c915c0-bd33-444d-9b30-4d26a30d7af8,mnvsekhar@gmail.com,Sekhar,Maddula,https://talenthub.vectorinstitute.ai/profiles/1551131/view_image/0.jpeg,Experienced Artificial Intelligence Architect,"High energy AI solutioning architect with quantified leadership traits possessing 13+ years of the software experience with 5+ in analytics and AI space. Subject Matter Expert (Analytics): US-Fixed Income securities transaction processing. Well-versed in Business/GAP/Requirement Analysis & Strategy. +Filed two patents; one is published and the other one awaiting publish. +Patent Link: https://patents.google.com/patent/US20200162312A1/en?inventor=sekhar+maddula&oq=sekhar+maddula",437-972-6209,,https://patents.google.com/patent/US20200162312A1/en?inventor=sekhar+maddula&oq=sekhar+maddula,,https://ca.linkedin.com/in/sekharmaddula/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/23c915c0-bd33-444d-9b30-4d26a30d7af8/resume,Toronto,Ontario,,Canada,linkedin,2019-12-03T21:01:57.950Z,2020-07-02T14:16:27.484Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://ca.linkedin.com/in/sekharmaddula/,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Management in Artificial Intelligence,"Financial Services, Software, Technology (Product Development), Type of Work is More Important to me than Sector","Internship, Co-op, Contract, Capstone Project",,Queen's University,True,True,True,True +1efea4ac-f5a1-4b1e-b331-c82b2f258fd9,sebastian.jh.kim@gmail.com,Sebastian,Kim,https://talenthub.vectorinstitute.ai/profiles/2110740/view_image/Profile_picture.jpg,Control System and AI Development Manager,"I'm a jet engine software manager and a Master of Management in Artificial Intelligence 2020 graduate. I am a passionate learner, and I enjoy working with multi-disciplinary teams to build tangible and beautiful things.",6479380843,,,,https://www.linkedin.com/in/sebastian-jaehun-kim/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/1efea4ac-f5a1-4b1e-b331-c82b2f258fd9/resume,Vaughan,Ontario,,Canada,,2020-10-23T13:26:45.442Z,2020-11-07T05:22:33.928Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Already Graduated,,Mr.,https://www.linkedin.com/in/sebastian-jaehun-kim/,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Management in Artificial Intelligence,"Manufacturing , Software, Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,,Queen's University,True,True,True,True +a167ddf2-6da0-44fc-9bc3-2fc19de33b1b,chengxin.yu@mail.utoronto.ca,Chengxin,Yu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,5148126992,,,,,,True,True,https://canadaai.jobboard.io/api/v1/profiles/a167ddf2-6da0-44fc-9bc3-2fc19de33b1b/resume,Toronto,Ontario,,Canada,,2020-10-23T13:10:33.110Z,2020-12-05T04:29:16.379Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Kieran R Campbell,Other/Undetermined,,Mr.,https://www.linkedin.com/in/ychengx/,,Graduate Degree (Masters),Entry Level (0-2 Years),Molecular Genetics,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op",,University of Toronto,True,True,True,True +e543dc21-ced5-4b7a-98da-252ddc73998b,shivam.kalra@uwaterloo.ca,Shivam,Kalra,https://talenthub.vectorinstitute.ai/profiles/2110750/view_image/me.jpg,Machine Learning Researcher in Digital Histopathology,"Ph.D. candidate at U of W and an ML research intern at Huron Digital Pathology. My research interest is in leveraging deep learning models for image search in digital pathology. I'm working on Multi-instance Learning, and Active Learning. My scholar profile:https://scholar.google.ca/citations?user=iEwZn18AAAAJ&hl=en",9055509117,,,,,,True,False,,Waterloo,Ontario,,Canada,,2020-10-23T13:26:48.083Z,2020-10-23T17:53:26.052Z,False,False,Vector Scholarship Recipient,Yes,Student or Postdoc of a Vector Faculty Member,Prof. Hamid Tizhoosh,Already Graduated,,Mr.,https://www.linkedin.com/in/shivamkalra,,Postgraduate Degree (PhD),Senior Level (5+ Years),Ph.D.,"Education, Health, Professional Services (e.g Consulting), Technology (Product Development)","Full Time, Internship, Co-op, Contract",,University of Waterloo,True,True,True,True +4455f99e-181c-4dbe-99e1-c2828fa62d77,p3sivaba@edu.uwaterloo.ca,Praveenah ,Sivabalan,https://talenthub.vectorinstitute.ai/profiles/2110968/view_image/0.jpeg,,Candidate for the Masters of Health Informatics Program ,,,,,https://www.linkedin.com/in/praveenah-sivabalan,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4455f99e-181c-4dbe-99e1-c2828fa62d77/resume,,,,,linkedin,2020-10-23T17:25:52.053Z,2020-10-23T17:25:52.238Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2021,,Miss.,https://www.linkedin.com/in/praveenah-sivabalan/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Health Informatics,"Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't)","Full Time, Internship, Co-op, Capstone Project",,University of Toronto,True,True,True,True +0d7157c5-bf52-4dc3-83be-09a2df184015,ah.tazim@gmail.com,Tazim,Ahmed,https://talenthub.vectorinstitute.ai/profiles/2111754/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-10-24T17:05:31.869Z,2020-10-24T17:05:32.144Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/tazim-ahmed/,,,,,,,,,True,False,True,True +08daba03-ddd8-44df-8738-20ac1ae1dc31,maayan.shvo@gmail.com,Maayan,Shvo,https://talenthub.vectorinstitute.ai/profiles/2113385/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-10-26T18:22:06.005Z,2020-10-26T18:22:06.152Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/maayan-shvo-3a632254/,,Postgraduate Degree (PhD),,,,,,,True,True,True,True +c7f1a793-47e3-4207-90b2-571487f0d237,saeed.majidi@gmail.com,Saeed,Majidi,https://talenthub.vectorinstitute.ai/profiles/2113042/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-10-26T12:24:08.808Z,2020-10-26T12:24:09.142Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/smajidi/,,,,,,,,,True,True,True,True +ac8dba46-8b3f-4fd5-a239-e1424d541610,emily.so@mail.utoronto.ca,Emily,So,https://talenthub.vectorinstitute.ai/profiles/2108935/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-10-21T18:30:46.836Z,2020-10-21T18:30:47.016Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/emily-so-20b1621a0/,,,,,,,,,True,True,True,True 3f40e424-5154-4e06-be5d-57b04432b9d6,j6sheng@uwaterloo.ca,Jianying ,Sheng,https://talenthub.vectorinstitute.ai/profiles/2104222/view_image/IMG_4283.JPG,PhD candidate ,"I am a recent graduate from University of Waterloo. I am looking for job opportunities. I have extensive experience in Classical and Path integral Monte Carlo simulations on confined quantum molecular system. I am also interested in mathematical modelling for finance with a main focus on financial instruments, derivatives, option pricing as well as interest rate model. I am very familiar with algorithms, numerical simulations, large data sets analyzing and visualization. Please do not hesitate to contact me if you have any questions or simply wish to chat. ",5187298137,,https://github.com/JianyingSheng,,https://www.linkedin.com/in/jianyingsheng/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3f40e424-5154-4e06-be5d-57b04432b9d6/resume,Toronto,Ontario,,Canada,,2020-10-17T01:36:03.907Z,2020-10-18T04:24:11.218Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mx.,https://www.linkedin.com/in/jianyingsheng/,,Graduate Degree (Masters),Mid-Level (3-5 Years),physics,"Education, Financial Services, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract, Capstone Project",,University of Waterloo,True,True,True,True 74e3386c-4a70-4c41-974d-0d9e9a8b4f26,lixx7040@mylaurier.ca,Qinglin,Li,https://talenthub.vectorinstitute.ai/profiles/2084545/view_image/0.jpeg,,,6476361084,,,,https://www.linkedin.com/in/qinglin-li-b7b957129/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/74e3386c-4a70-4c41-974d-0d9e9a8b4f26/resume,Toronto,Ontario,,Canada,linkedin,2020-10-01T13:48:51.950Z,2020-10-01T17:08:15.301Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/qinglin-li-b7b957129/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,"Financial Services, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op, Contract",,University of Toronto,True,True,True,True -d5686ccb-7110-48ea-b12e-010ba26d0ff4,anjali.silva@uhnresearch.ca,Anjali,Silva,https://talenthub.vectorinstitute.ai/profiles/2091073/view_image/0.jpeg,Bioinformatician,"I'm a bioinformatician/researcher involved in developing and applying statistical clustering and classification machine learning techniques/tools to large biological/multiomics datasets. Currently, I'm involved in identifying molecular subtypes and novel biomarkers associated with lymphoma. In addition to conducting research, I'm a passionate bioinformatics teacher to undergraduate and graduate students.",,,https://anjalisilva.github.io/,,https://www.linkedin.com/in/anjalisilva/,silva_anjali,True,False,https://canadaai.jobboard.io/api/v1/profiles/d5686ccb-7110-48ea-b12e-010ba26d0ff4/resume,Toronto,Ontario,,Canada,linkedin,2020-10-07T20:16:52.061Z,2020-10-21T19:21:50.461Z,False,False,Connected to Vector Research,Yes,Post Graduate Affiliate,,Already Graduated,,Dr.,https://www.linkedin.com/in/anjalisilva/,,Postgraduate Degree (PhD),Entry Level (0-2 Years),Bioinformatics,"Education, Health, Software, Technology (Information and Media)",Full Time,,University of Guelph,True,True,True,True -cdfe10c0-36b1-4dbe-a1d6-57ab5bc7fa90,keenburn2004@gmail.com,Keenan,Burnett,https://talenthub.vectorinstitute.ai/profiles/2100290/view_image/0.jpeg,Team Advisor to aUToronto - UofT's Self-Driving Car Team,"I was the Team Lead of aUToronto, UofT's self-driving car team from May 2017 - June 2020 during which time we placed 1st at the SAE AutoDrive Challenge in all three years of the competition. I remain an advisor to team provide key technical and management support. I am currently pursuing my PhD at the Institute for Aerospace Studies under the supervision of Prof. Tim Barfoot and Prof. Angela Schoellig. My current research centers around extending the operational domain of autonomous vehicles to include inclement weather conditions such as rain and snow.",,,http://asrl.utias.utoronto.ca/~keenburn2004/,,https://www.linkedin.com/in/keenan-burnett-aa7ab267/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/cdfe10c0-36b1-4dbe-a1d6-57ab5bc7fa90/resume,Toronto,Ontario,,Canada,linkedin,2020-10-13T14:11:23.175Z,2020-10-13T14:11:23.381Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Angela Schoellig,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/keenan-burnett-aa7ab267/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Aerospace Engineering (Robotics),"Software, Technology (Product Development)","Full Time, Internship, Contract",,University of Toronto,True,False,True,True +5e5f938c-71ff-4954-8743-071ed9a73800,mohak_444@hotmail.com,Mohak,Poddar,https://talenthub.vectorinstitute.ai/profiles/1552206/view_image/0.jpeg,MMA Candidate | Former Software Engineer | Aspiring Data Scientist / Machine Learning Engineer,"An engineer who is passionate about using technology to solve the most challenging problems out there. +I have 3 years of experience working as a software engineer at a finance and technology firm, where I was responsible for designing and developing complex products in a client-facing role. +I am a problem solver who is easy-going, detail-oriented, inquisitive, organized and dependable. I am skilled in Java, SQL, Python, R and Excel. +Given my engineering background, I am currently pursuing a Master's Degree in Management Analytics to broaden my data science and business skills. +I aspire to be a Data Scientist / Machine Learning Engineer in the future, and will be available full time starting May 2020. ",+1-416-452-9473,,,,https://www.linkedin.com/in/mohak-poddar,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5e5f938c-71ff-4954-8743-071ed9a73800/resume,Toronto,Ontario,,Canada,linkedin,2019-12-04T14:40:27.755Z,2020-02-20T08:42:55.605Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/mohak-poddar,,Graduate Degree (Masters),,Master of Management Analytics,"Financial Services, Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector",Full Time,,University of Toronto,True,True,True,True 090bf4e9-f638-40c7-99d0-a23edf16d97f,dhanushayerubandi@gmail.com,Dhanusha,Yerubandi,https://talenthub.vectorinstitute.ai/profiles/1559997/view_image/0.jpeg,"Candidate for Master of Data Analytics- Artificial Intelligence, Western University ","I am convinced that data controls today’s world and it is exciting to know that the data analysis forms a strong foundation for an action to be done in any organization. These interesting facts led me to pursue Master of Data Analytics specializing in Artificial Intelligence as AI enabled devices are around the corner-may be in a five to ten year horizon. I have a background in Computer Science and Engineering, and I look forward to using my skills to consolidate my knowledge of data analytics and join the burgeoning workforce. I would be glad to connect with people who would like to or have experience in the fields I am interested in and build a network that will allow people to see me through professional challenges.",2269775539,,,,https://www.linkedin.com/in/dhanusha-yerubandi-b76b62124/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/090bf4e9-f638-40c7-99d0-a23edf16d97f/resume,London,Ontario,,Canada,linkedin,2019-12-10T20:53:47.621Z,2020-02-06T19:35:39.345Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Ms.,https://www.linkedin.com/in/dhanusha-yerubandi-b76b62124/,,Graduate Degree (Masters),,Master of Data Analytics,"Education, Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op, Contract, Capstone Project",,Western University,True,True,True,True -6e39ac2b-3da3-44ec-9feb-03d856a65260,dev4488@gmail.com,Devinder,Kumar,https://talenthub.vectorinstitute.ai/profiles/2084778/view_image/0.jpeg,Postdoc - Stanford University,"Currently, I am a postdoc fellow at Stanford University where my research centers around Deep Learning, Explainable AI and its application in Computer Vision, Cognitive Neuroscience & Medical Imaging. -I did my PhD (2017- Feb 2020) on Explainable AI (X-AI) at VIP lab - University of Waterloo & Vector Institute of AI, Toronto where I was supervised by Dr. Alexander Wong (Canada Research Chair in AI & Medical Imaging, UWaterloo) and Dr. Graham Taylor (Canada Research Chair in ML systems).",,,http://www.devinderkumar.com,,https://www.linkedin.com/in/d22kumar/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6e39ac2b-3da3-44ec-9feb-03d856a65260/resume,,,,,linkedin,2020-10-01T18:28:51.951Z,2020-10-02T13:03:38.345Z,False,False,Connected to Vector Research,Yes,Other/Unsure,During PhD I was with - Prof Graham Taylor,Already Graduated,Current - Postdoc@Stanford. PhD - Vector Student Member,Dr.,https://www.linkedin.com/in/d22kumar/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),PhD in ML - Systems Design Engineering,"Financial Services, Health, Professional Services (e.g Consulting), Technology (Information and Media), Type of Work is More Important to me than Sector","Full Time, Contract",,University of Waterloo,True,True,True,True -9ad007cb-d8a5-4659-8287-b59531398076,meekeykhati@gmail.com,Meekey,Khati,https://talenthub.vectorinstitute.ai/profiles/1550755/view_image/0.jpeg,,,4372399320,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9ad007cb-d8a5-4659-8287-b59531398076/resume,Toronto,Ontario,,Canada,linkedin,2019-12-03T17:04:13.143Z,2019-12-03T17:04:13.384Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,Smith School of Business,Mr.,https://www.linkedin.com/in/meekey-khati-a848a353/,,,,Master of Management Analytics,"Financial Services, Retail","Full Time, Internship, Co-op",,Queen's University,True,True,True,True -d02d12ab-d660-43f7-ae46-73004e18b70b,madhu.r.1995@gmail.com,Madhusoodhanan,Rajendran,https://talenthub.vectorinstitute.ai/profiles/1552236/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-04T14:54:07.383Z,2019-12-04T14:54:07.679Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/madhusoodhanan-r/,,,,Master of Management Analytics,Financial Services,Full Time,,University of Toronto,True,True,True,True -331c26d4-4e9e-4aa5-b276-f7b10caa055e,mufan.li@mail.utoronto.ca,Mufan (Bill),Li,https://talenthub.vectorinstitute.ai/profiles/2090763/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-10-07T15:10:08.659Z,2020-10-07T15:10:09.009Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/mufan-bill-li-35749833/,,Postgraduate Degree (PhD),,,,,,,True,False,True,True -49c526ec-7d5b-4295-9a6f-4b6d454b89d2,vipul1996malhotra@gmail.com,Vipul,Malhotra,https://talenthub.vectorinstitute.ai/profiles/2103131/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-10-15T19:19:31.992Z,2021-05-28T14:25:06.735Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/vipul-malhotra-vp/,,Graduate Degree (Masters),Entry Level (0-2 Years),Masters in Computer Science,"Financial Services, Technology (Information and Media), Technology (Product Development)",Full Time,,University of Windsor,True,True,True,True -31f9150d-b0a8-4257-a2f0-30219eb50e3c,rjoshi0343@gmail.com,Rakesh,Joshi (Ph.D.),https://talenthub.vectorinstitute.ai/profiles/1552108/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-04T13:59:20.602Z,2019-12-06T15:41:51.230Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/rakesh-joshi-lhsc/,,,,,,,,,True,True,True,True -615fb0f4-ee0f-47f0-b2be-0342dc09c6e5,ke.ketaps@gmail.com,Xiao,Quan,https://talenthub.vectorinstitute.ai/profiles/1550731/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-03T16:46:05.161Z,2019-12-03T16:46:05.377Z,False,False,Recognized Masters Program,Yes,,,Already Graduated,,,https://www.linkedin.com/in/xiao-quan-9339286b/,,,,,,,,,True,True,True,True -b7bec4ff-3109-44f4-be95-3e39d7efccdc,azharirfan@gmail.com,Azhar,Irfan,https://talenthub.vectorinstitute.ai/profiles/1550581/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-03T15:33:31.040Z,2019-12-03T15:33:31.364Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/azharirfan/,,,,Management Analytics,"Financial Services, Retail, Telecommunications",Full Time,,Queen's University,True,False,True,True -24192583-f546-4cc6-b43d-7444711aa782,vini@poli.ufrj.br,Vinicius,Ribeiro Machado da Silva,https://talenthub.vectorinstitute.ai/profiles/2103157/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-10-15T19:53:04.753Z,2020-10-15T19:53:05.275Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/vinicius-ribeiro-machado-da-silva-8550b02a/,,,,,,,,,True,True,True,True -51257419-6d0d-482b-a002-77344bc7a78e,brennema@mcmaster.ca,Elora,Wilson,https://talenthub.vectorinstitute.ai/profiles/2101628/view_image/DSC_0191.JPG,,"Doctor of Philosophy graduand from McMaster University in Kinesiology with a specialization in Biomechanics. Nine years’ experience in a fast-paced academic research environment, with demonstrated excellence in data analysis, modeling, and statistics resulting in publication of manuscripts in peer-reviewed journals. Demonstrated success working in a diverse environment via completion of large and complex multi-disciplinary research projects in my PhD. Excellent time-management, organizational skills, problem-solving, and analytical skills. Looking to apply my skills in a driven and collaborative work environment. ",,,,,https://www.linkedin.com/in/elorabrenneman/,EloraBrenneman,True,False,https://canadaai.jobboard.io/api/v1/profiles/51257419-6d0d-482b-a002-77344bc7a78e/resume,Ottawa,Ontario,,Canada,,2020-10-14T15:03:07.500Z,2020-11-24T18:50:59.557Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,Recently defended and submitted my PhD thesis. I have a keen interest in data science and analytics.,Mrs.,https://www.linkedin.com/in/elorabrenneman/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Kinesiology (Biomechanics),"Health, Public Administration (i.e Gov't), Technology (Product Development)","Full Time, Contract",,McMaster University,True,False,True,True +17f4c9f3-40b1-4bcc-9508-279011e103a1,franco9505@gmail.com,Jae Yong (Francisco),Lee,https://talenthub.vectorinstitute.ai/profiles/1550969/view_image/0.jpeg,Integration Specialist,"Francisco is a Master of Health Informatics student at the Institute of Health Policy, Management and Evaluation (IHPME), University of Toronto. With his background in Cognitive Science from McGill University and self-taught agile programming, Francisco focuses on applying his technical skills to reduce administrative burden of using healthcare technology while continuously assessing the impact on the end-users. +His fast-track Certificate in Data Analytics, Big Data and Predictive Analytics equipped him with applications of emerging technology such as data science, artificial intelligence and machine learning to healthcare systems design and integration. To better prepare himself as a global health informatics professional, Francisco pursued his Diploma in International Trade to better understand the different modes of General Agreement on Trade in Services (GATS) having seen the shift towards global servitization of healthcare. Francisco is a driven individual striving to be a better problem-solver for challenging tasks and learning new technologies and tools if the need arises.",,,,,https://www.linkedin.com/in/fleejy/,,True,False,,Toronto,Ontario,,Canada,linkedin,2019-12-03T19:11:28.925Z,2019-12-03T19:11:29.094Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/fleejy/,,,,Master of Health Informatics,Telecommunications,"Full Time, Contract",,University of Toronto,True,True,True,True 704bda4f-84c2-4fb0-a712-f99b1018dd16,puneethsaladi@gmail.com,Puneeth,Saladi,https://talenthub.vectorinstitute.ai/profiles/1550627/view_image/0.jpeg,,,+1 2269780067,,,,https://www.linkedin.com/in/puneeth-saladi-a0395711b,,True,False,,Waterloo,Ontario,,Canada,linkedin,2019-12-03T15:56:42.289Z,2019-12-03T15:56:42.694Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/puneeth-saladi-a0395711b,,,,Data Science and Artificial Intelligence,,Co-op,,University of Waterloo,True,True,True,True 9ad007cb-d8a5-4659-8287-b59531398076,meekeykhati@gmail.com,Meekey,Khati,https://talenthub.vectorinstitute.ai/profiles/1550755/view_image/0.jpeg,,,4372399320,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9ad007cb-d8a5-4659-8287-b59531398076/resume,Toronto,Ontario,,Canada,linkedin,2019-12-03T17:04:13.143Z,2019-12-03T17:04:13.384Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,Smith School of Business,Mr.,https://www.linkedin.com/in/meekey-khati-a848a353/,,,,Master of Management Analytics,"Financial Services, Retail","Full Time, Internship, Co-op",,Queen's University,True,True,True,True d02d12ab-d660-43f7-ae46-73004e18b70b,madhu.r.1995@gmail.com,Madhusoodhanan,Rajendran,https://talenthub.vectorinstitute.ai/profiles/1552236/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-04T14:54:07.383Z,2019-12-04T14:54:07.679Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/madhusoodhanan-r/,,,,Master of Management Analytics,Financial Services,Full Time,,University of Toronto,True,True,True,True @@ -3018,8 +3090,6 @@ db84d448-f6d7-43cd-bc2d-42782bfc9c3c,yijun.xie@uwaterloo.ca,Yijun,Xie,https://ta 5b200ab4-2444-4ed3-b677-25d464c6a389,enghank@live.com,Happy,Buzaaba,https://talenthub.vectorinstitute.ai/profiles/1845079/view_image/0.jpeg,,,+817043878871,,http://www.kde.cs.tsukuba.ac.jp/~happy-b/,,https://www.linkedin.com/in/happy-buzaaba-36a34385/,happybuzaaba1,True,False,https://canadaai.jobboard.io/api/v1/profiles/5b200ab4-2444-4ed3-b677-25d464c6a389/resume,,,,,linkedin,2020-06-26T03:46:25.688Z,2020-06-26T03:46:26.011Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,I don't have affiliation with Vector Institute,Mr.,https://www.linkedin.com/in/happy-buzaaba-36a34385/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science,"Education, Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,,Other,True,True,True,True 07959662-d84f-4660-8a11-da0c065c890d,bhpatel31297@gmail.com,BHARGAV,PATEL,https://talenthub.vectorinstitute.ai/profiles/1554104/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-05T19:14:29.792Z,2019-12-05T19:14:30.025Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/bhargav-p-patel/,,,,Master's of Science in Computer Science,Telecommunications,"Internship, Co-op",,Lakehead University,True,True,True,True 08cc7f74-7d4f-4e73-9840-0f1a4852e013,rob.woon-fat@rotman.utoronto.ca,Robert,Woon-Fat,https://talenthub.vectorinstitute.ai/profiles/1552260/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-04T15:06:20.003Z,2019-12-04T15:06:20.981Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/robwoon-fat/,,,,,,,,,True,True,True,True -ff35b353-fb62-49de-a684-4a94e661abd7,tommyxie2000@hotmail.com,Tommy,Xie,https://talenthub.vectorinstitute.ai/profiles/1571787/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-21T18:25:21.275Z,2019-12-21T18:25:21.505Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/tommy-xie-211a92ab/,,,,,,,,,True,False,True,True -c9aa3adc-8d03-4f5a-8c12-26fabe4796c2,daniel.sheen@mail.utoronto.ca,Daniel,Sheen,https://talenthub.vectorinstitute.ai/profiles/1902517/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-08-03T00:14:22.437Z,2020-08-03T00:14:22.648Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/daniel-sheen/,,,,,,,,,True,False,True,True 4f38957a-a877-4ae9-b6ae-7675db5f1151,laurie.huang.lh@gmail.com,Laurie,Huang,https://talenthub.vectorinstitute.ai/profiles/1815218/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-06-06T22:23:05.037Z,2020-06-06T22:23:05.242Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/laurie-huang/,,,,,,,,,True,True,True,True a2ef7c7d-8695-4e06-b6a6-06cb927289d5,nhlophe@aimsammi.org,Nkosinathi,Hlophe,https://talenthub.vectorinstitute.ai/profiles/1868140/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-07-12T09:24:52.838Z,2020-07-12T09:24:52.989Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/nathoe/,,,,,,,,,True,False,True,True 87206710-a65c-472a-af15-30cd40f47e98,se.israel.abebe@gmail.com,Israel,Azime,https://talenthub.vectorinstitute.ai/profiles/1858587/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-07-05T19:37:28.371Z,2020-07-05T19:37:28.689Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/israel-abebe/,,,,,,,,,True,True,True,True @@ -3047,7 +3117,6 @@ Participated in Government-related initiatives such as: the Canadian Technology 419a947a-34eb-462b-8396-c342f39b1282,abbas.singapurwala@rotman.utoronto.ca,Abbas,Singapurwala,https://talenthub.vectorinstitute.ai/profiles/2972473/view_image/mypic2.PNG,"Student, Master of Management Analytics","Analytics professional possessing {4 years’} experience in data management working with several Fortune 500 companies. Extensive experience in identifying issues in the value chain of clients and leveraging data-driven insights to solve them. Known for helping teams to organize work efficiently. Strong sense of commitment to complete given tasks even when difficulties arise. Passionate about exploring new ideas that can help others. Key Technical Skills - Python, SQL, R, Julia, Machine Learning, Statistics, Advanced Mathematics, Metadata Management, Data Governance, Data Visualization Key Soft Skills - Relationship Management, Persuasive Presenter, Thought Leadership",437-973-6653,,,,https://linkedin.com/in/abbas-singapurwala,,True,False,https://canadaai.jobboard.io/api/v1/profiles/419a947a-34eb-462b-8396-c342f39b1282/resume,Toronto,Ontario,,Canada,,2022-08-26T15:02:39.670Z,2022-08-26T15:02:39.717Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mr.,https://linkedin.com/in/abbas-singapurwala,"Data science, Deep learning, Machine learning, Natural language processing, Statistical learning theory, Time-series forecasting and modelling, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management Analytics,"Financial Services, Retail, Software, Technology (Product Development)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist",University of Toronto,True,True,True,True -5092b46e-60c6-4cdc-93e2-1d4e98b428d4,csnazari@gmail.com,Ehsan,Nazari,https://talenthub.vectorinstitute.ai/profiles/2318089/view_image/1554280145849.jpeg,Machine Learning Researcher ,,3435533998,,,,https://www.linkedin.com/in/nazari-ehsan,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5092b46e-60c6-4cdc-93e2-1d4e98b428d4/resume,,,,Canada,linkedin,2021-04-16T10:03:52.622Z,2022-09-03T18:57:20.782Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,ON,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/nazari-ehsan/,"Adversarial learning, Deep learning, Generative modeling",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science - Concentration in Applied A.I.,Type of Work is More Important to me than Sector,"Full Time, Internship, Contract","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Ottawa,True,True,True,True 5c63e66a-311f-4ff2-929e-2290a95392fc,kumar48@uwindsor.ca,Mayank,Kumar,https://talenthub.vectorinstitute.ai/profiles/2504482/view_image/IMG_1987.JPG,Experienced Technical Lead AI/ML Domain,Looking for Summer 22 Coop term | Graduate Student | AI Specialization | AI/ML Developer | NLP/NLU | Ex- Wipro Digital,+16476857452,,,,https://linkedin.com/in/mayank9,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5c63e66a-311f-4ff2-929e-2290a95392fc/resume,Toronto,Ontario,,Canada,,2021-09-10T17:42:53.341Z,2022-02-06T09:41:04.895Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/mayank9/,"Bioinformatics, Deep learning, Machine learning, Natural language processing, Transfer learning",Graduate Degree (Masters),Senior Level (5+ Years),Master of Computer Science AI Specialization,"Financial Services, Health, Retail, Software, Technology (Product Development)",Co-op,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Windsor,True,True,True,True d71f2588-dd19-4937-a287-47d9f0acc60a,aloukikaditya@gmail.com,Aloukik,Aditya,https://talenthub.vectorinstitute.ai/profiles/2196346/view_image/1516458848820.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-01-19T05:11:09.150Z,2021-01-19T05:11:09.405Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/aloukikaditya/,,,,,,,,,True,True,True,True 7b39b916-dc99-4bc7-ad9f-243ed7a07307,rajkumar_ranabhat@hotmail.com,Raj Kumar,Ranabhat,https://talenthub.vectorinstitute.ai/profiles/2648513/view_image/profile.jpg,Data Scientist/ Research Engineer/ Machine Learning Engineer,,647-704-9670,,,,https://www.linkedin.com/in/raj-kumar-ranabhat-80661365/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/7b39b916-dc99-4bc7-ad9f-243ed7a07307/resume,Toronto,Ontario,,Canada,,2022-01-13T20:27:29.862Z,2022-09-20T19:51:27.648Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/raj-kumar-ranabhat-80661365,"Deep learning, Healthcare and/or medical imaging, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Electrical Engineering in Artificial Intelligence,,"Full Time, Internship, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Ryerson University,True,True,True,True @@ -3071,214 +3140,204 @@ c5af0ea9-a288-4db4-b4c5-405c693e6ea9,15cs69@queensu.ca,Chengyuan,Sha,https://tal a83dd42a-952b-4fdc-b568-247a91bc75b7,jeannie.yoo@vectorinstitute.ai,Jiyun (Jeannie),Yoo,https://talenthub.vectorinstitute.ai/profiles/2829554/view_image/Jeannie_Yoo_Headshot11.jpg,Applied Intern at Vector Institute,,6479969162,,,,https://www.linkedin.com/in/jeannie-jiyun-yoo,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a83dd42a-952b-4fdc-b568-247a91bc75b7/resume,Toronto,Ontario,,Canada,,2022-05-26T17:33:51.474Z,2022-08-22T19:18:15.201Z,False,False,Internal Staff,Yes,Student or Postdoc of a Vector Faculty Member,,Fall 2023 (August - November),,Ms.,https://www.linkedin.com/in/jeannie-jiyun-yoo/,"Data science, Deep learning, Machine learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),"Computational Cognitive Science, Statistics, Mathematics","Health, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development)",Internship,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Researcher/Scientist , Product/Project Manager",University of Toronto,True,True,True,True e02b500d-a66f-49d9-9c0d-22001fbc5fcc,hazalw@my.yorku.ca,Wenxuan,Li,https://talenthub.vectorinstitute.ai/profiles/3004481/view_image/1611592119109.jpeg,,,6479369667,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e02b500d-a66f-49d9-9c0d-22001fbc5fcc/resume,,,,,linkedin,2022-09-16T04:53:30.821Z,2022-09-16T05:14:10.012Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/wenxuan-li-1a710b205/,"Anomaly detection, Data science, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management in Artificial Intelligence,"Financial Services, Retail, Software, Technology (Information and Media)","Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Software Engineer",York University,True,True,True,True e3f13c36-a00f-4a8b-a6d9-0425edb850d1,jiale.wei11@gmail.com,Joy,Wei,https://talenthub.vectorinstitute.ai/profiles/2468422/view_image/Screen_Shot_2021-08-19_at_10.50.26_PM.png,Data Engineer,,6472973708,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e3f13c36-a00f-4a8b-a6d9-0425edb850d1/resume,,,,,,2021-08-13T15:44:16.897Z,2022-08-30T03:15:58.913Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Miss.,https://www.linkedin.com/in/joy-jiale-w/,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Management Analytics,,"Full Time, Contract","Business Analyst/Business Intelligence Analyst , Data Scientist, Machine Learning Engineer",Queen's University,True,False,True,True -b04daf4a-90cc-4c78-a3ae-baa7a554deef,mak.jacqueline30@gmail.com,Jacqueline,"Mak,",https://talenthub.vectorinstitute.ai/profiles/2444688/view_image/1601573416848.jpeg,Project Manager,"• PMP Certified Project Manager with 5+ experience managing multiple projects concurrently -• Subject Matter Expert in Procurement and Contract Management -• Strong knowledge of Scaled Agile Framework (SAFe), ITIL concepts, experience in Program Increment (PI) and sprint planning in an Agile environment as a Knowledge and Content Manager, Product Owner and Scrum Master",4164183300,,,,https://www.linkedin.com/in/jacquelinemak30/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b04daf4a-90cc-4c78-a3ae-baa7a554deef/resume,Toronto,Ontario,,Canada,linkedin,2021-07-23T01:35:46.820Z,2021-07-23T01:35:47.014Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mrs.,https://www.linkedin.com/in/jacquelinemak30/,"Data science, Graphical models, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management Analytics,"Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Product/Project Manager",Queen's University,True,True,True,True +0c83a1a3-4a90-47b0-8633-a296b9ab18b4,cait.harrigan@mail.utoronto.ca,Cait,Harrigan,https://talenthub.vectorinstitute.ai/profiles/3010935/view_image/1599919323817.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-09-20T15:18:16.826Z,2022-09-20T15:18:17.341Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/cait-harrigan/,,,,,,,,,True,True,True,True +39a3281c-4db7-438e-aad1-9333f13f3781,emailsaroar@gmail.com,Sk Golam,Saroar,https://talenthub.vectorinstitute.ai/profiles/3009740/view_image/1517247648794.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-09-20T03:29:35.308Z,2022-09-20T03:29:35.992Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/iamsaroar/,,,,,,,,,True,False,True,True +a8a35348-7928-4106-87e0-8e7ff326caff,jasonndeon@gmail.com,Jason,d'Eon,https://talenthub.vectorinstitute.ai/profiles/3148637/view_image/1662679238853.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-11-23T00:17:14.177Z,2022-11-23T00:17:14.660Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/jason-deon/,,,,,,,,,True,False,True,True +774a596a-e7e9-4546-be59-c33f598b55d4,zdravevski.martin@gmail.com,Martin,Zdravevski,https://talenthub.vectorinstitute.ai/profiles/2993216/view_image/1574354624925.jpeg,Trust Accounts Compliance Officer & Master's Student,,6476061880,,,,https://www.linkedin.com/in/martinzdravevski/,,True,False,,Whitby,Ontario,,Canada,linkedin,2022-09-08T16:48:21.247Z,2022-10-04T15:50:17.354Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/martin-zdravevski-68158a191/,"Data science, Online learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Business Analytics and Artificial Intelligence,"Construction or Infrastructure, Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Researcher/Scientist , Product/Project Manager",OntarioTech University,True,False,True,True +27a2b8e2-a3eb-4d1b-9ffa-3c93637b140a,julia.harvie1212@gmail.com,Julia,Harvie,https://talenthub.vectorinstitute.ai/profiles/3018648/view_image/1649171090531.jpeg,M.Sc. Bioinformatics - Artificial Intelligence,"II am a recent graduate of Master of Science Bioinformatics graduate with a Collaborative Specialization in Artificial Intelligence from the University of Guelph. I am the first graduate of this program. My undergraduate degree is a B.Sc. in Molecular Biology and Genetics – Statistics from the University of Guelph. She has worked as an assistant researcher at the Centre for Biodiversity Genomics since 2017. Some examples of projects she has worked on are developing statistical models for community distribution mapping, analyzing the outputs of Next Gen Sequencing of e-DNA samples and taxonomic identifications using computer vision. ",5194908812,,,,https://www.linkedin.com/in/julia-harvie-4a5000237/,,True,False,,,Ontario,,Canada,linkedin,2022-09-26T01:29:23.137Z,2022-09-26T01:29:23.619Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/julia-harvie-4a5000237/,,Graduate Degree (Masters),Mid-Level (3-5 Years),M.Sc. Bioinformatics - Artificial Intelligence,,"Full Time, Contract","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Guelph,True,False,True,True +c9961fec-8bf7-4122-998a-6cac26a86ec5,otis.feng@qq.com,Yiwen(Otis),Feng,https://talenthub.vectorinstitute.ai/profiles/3050519/view_image/1634424128936.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-10-17T23:47:48.968Z,2022-10-17T23:47:49.512Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/yiwen-otis-feng-18069a223/,,,,,,,,,True,False,True,True +4c803159-c786-4ebc-8968-1dbfae4e1529,ram.sreenivasan@mail.utoronto.ca,Ram Ananth,Sreenivasan,https://talenthub.vectorinstitute.ai/profiles/1966762/view_image/instadp_ram.ananth14_full_size.jpg,,,4379852908,,,,https://www.linkedin.com/in/ram-ananth-a416b0142/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4c803159-c786-4ebc-8968-1dbfae4e1529/resume,Toronto,Ontario,,Canada,,2020-09-04T14:57:47.433Z,2022-10-14T20:06:03.147Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/ram-ananth-a416b0142/,"Deep learning, Reinforcement learning, Transfer learning",Graduate Degree (Masters),Entry Level (0-2 Years),MASc in Mechanical and Industrial Engineering,Type of Work is More Important to me than Sector,"Full Time, Internship, Contract","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +c0f9ccc0-2c60-4321-91d3-171798301b29,kaleabkebede@outlook.com,Kaleab E, Kebede,https://talenthub.vectorinstitute.ai/profiles/3154909/view_image/Kaleab_Queen_s_ID.jpeg,,,647-803-7659,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c0f9ccc0-2c60-4321-91d3-171798301b29/resume,Toronto,Ontario,,Canada,linkedin,2022-11-27T15:37:57.030Z,2022-11-27T15:37:57.408Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/kaleab-e-kebede/,"Data science, Deep learning, Game theory, Machine learning, Natural language processing, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Analytics,Financial Services,"Full Time, Internship","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,False,True,True +5efdf5b7-1c7d-4172-9e48-1e554826544d,snehalbhole061297@gmail.com,Snehal Sudhir,Bhole,https://talenthub.vectorinstitute.ai/profiles/3026405/view_image/1646987778293.jpeg,,,9057819415,,,,https://www.linkedin.com/in/snehal-bhole-350139186/,,True,False,,Ottawa,Ontario,,Canada,linkedin,2022-09-30T15:01:05.178Z,2022-09-30T15:01:05.709Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Spring/Summer 2024 (April - July),,Miss.,https://www.linkedin.com/in/snehal-bhole-350139186/,,Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Computer Science - Concentration in Artificial Intelligence,,"Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer, Other ",University of Ottawa,True,True,True,True +a3c8e977-16af-4a38-b1d5-2087a6edf839,ricc.zamboni@gmail.com,Riccardo,Zamboni,https://talenthub.vectorinstitute.ai/profiles/3151701/view_image/1594322411154.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-11-24T20:07:32.219Z,2022-11-24T20:07:32.564Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/riccardo-zamboni-rz95/,,,,,,,,,True,False,True,True +2261825e-8ce6-489e-9434-5e1fe5f0261e,ananya.raval@gmail.com,Ananya,Raval,https://talenthub.vectorinstitute.ai/profiles/3151716/view_image/1606507779846.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-11-24T20:23:41.026Z,2022-11-24T20:23:41.458Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/ananya-raval/,,,,,,,,,True,False,True,True +a10fc795-e19d-4bee-b4c9-69d09e3db705,tf.yau@mail.utoronto.ca,Tsz Fung,Yau,https://talenthub.vectorinstitute.ai/profiles/3130221/view_image/1662648514052.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-11-10T15:31:34.750Z,2022-11-10T15:31:35.199Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/tsz-fung-yau/,,,,,,,,,True,False,True,True +057983ff-255d-4997-bef4-a5779c50b554,liuxd_1215@outlook.com,Xudong (Frank),Liu,https://talenthub.vectorinstitute.ai/profiles/3000715/view_image/1661932418531.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-09-14T04:21:37.945Z,2022-11-08T05:39:01.295Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/xudong-frank-liu-566513198/,,,,,,,,,True,True,True,True +cb02d5ae-b680-4667-83d4-e9c04c577b11,pmathew7777@gmail.com,Philip,"Mathew, MBBS, MD, CPI",https://talenthub.vectorinstitute.ai/profiles/3151695/view_image/1607306893022.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-11-24T20:02:41.665Z,2022-11-24T20:08:21.121Z,False,False,Other Vector Programming,Yes,,,,,,https://www.linkedin.com/in/philipmathewmd/,,,,,,,,,True,False,True,True +87e29ca8-8231-4cb5-ad88-adf950a09208,tracyliu616@yahoo.com,Xinrong,Liu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,True,,,,,,linkedin,2022-09-19T19:48:41.627Z,2022-09-19T19:48:42.362Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/xinrong-liu-53a223233/,,,,,,,,,True,True,True,True +61d6ff0d-bac1-487e-95fa-caa22cd498c6,paulmorecasa@gmail.com,Pablo Antonio,Moreno Casares,https://talenthub.vectorinstitute.ai/profiles/2249524/view_image/1557919730350.jpeg,PhD student,,,,,,https://www.linkedin.com/in/pablo-antonio-moreno-casares/,Pablomorecasa,True,False,,,,,,linkedin,2021-02-28T13:42:59.124Z,2021-02-28T15:53:45.229Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,None of the above,Mr.,https://www.linkedin.com/in/pablo-antonio-moreno-casares/,"Fairness, Interpretability, Quantum computing",Graduate Degree (Masters),Mid-Level (3-5 Years),PhD in Quantum algorithms,"Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Software, Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship",,Other,True,True,True,True +9619dc1b-b813-4451-b66b-5d8de6ef280e,martin@altrina.ai,Martin,Magill,https://talenthub.vectorinstitute.ai/profiles/2635240/view_image/1605289174933.jpeg,Interdisciplinary computational scientist with an entrepreneurial spirit,"I'm a PhD candidate with a passion for bridging the gap between the frontiers of emerging scientific research and the actual reality of industry. I study in the modelling and computational science program at Ontario Tech University, working in Prof. Hendrick de Haan's cNAB.LAB for computational nanobiophysics. My recent research is at the interface of computational physics and deep learning, and includes: computational studies of DNA-like molecules in micro- and nanofluidic systems, investigations of representation and transfer learning in the context of scientific computing, and numerical analyses of deep learning techniques for solving differential equations in biophysics. Additionally, I have worked on computational physics research projects involving solar dynamics, dark matter detection, machine vision using cosmic rays, and advanced nuclear reactor designs. Besides my research work, I co-founded the startup Altrina AI during my PhD. The vision for this company is to deliver reliable scientific machine learning tools for industrial applications. We have explored opportunities in a variety of sectors, including automatic detection of localization of faults in power grids, detection and interpretation of underwater threats in military settings, advanced simulation and design tools for nonlinear elastic materials, and more. +",2896000371,,https://scholar.google.com/citations?user=6WJQZrkAAAAJ&hl=en,,https://www.linkedin.com/in/martin-magill,mathymarty,True,False,,Whitby,Ontario,,Canada,linkedin,2022-01-03T23:05:30.664Z,2022-01-11T23:35:28.383Z,False,False,Connected to Vector Research,Yes,Other/Unsure,,Already Graduated,"Post Graduate Affiliate, Alumnus",Mr.,https://www.linkedin.com/in/martin-magill-5b5053187/,"Computational biology, Deep learning, Physics",Postgraduate Degree (PhD),Senior Level (5+ Years),Modelling and Computational Science,Type of Work is More Important to me than Sector,Full Time,"Data Scientist, Machine Learning Researcher/Scientist , Other ",OntarioTech University,True,False,True,True +2f34f80b-fe20-4d79-b962-1ae0b41cc3f5,robinsun1997@outlook.com,Jianan,Sun,https://talenthub.vectorinstitute.ai/profiles/2805741/view_image/1621531956909.jpeg,,,6476428266,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2f34f80b-fe20-4d79-b962-1ae0b41cc3f5/resume,Toronto,Ontario,,Canada,linkedin,2022-05-10T23:57:09.385Z,2022-05-10T23:57:09.800Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,N/A,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),statistics,"Financial Services, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst",University of Waterloo,True,False,True,True f2145235-5c9f-4eba-abba-8c85f40c8d42,yung.cho@alum.utoronto.ca,Daniel,Cho,https://talenthub.vectorinstitute.ai/profiles/2083192/view_image/0.jpeg,Data Scientist,"I have a strong background in statistics and chemical engineering with experience in data analytics and simulation on large data set using machine learning, including regression, decision trees, clustering, SVM, and MCMC to improve process and business outcomes. I have a master's degree in engineering and a big data certificate. ",5197211258,,,,https://www.linkedin.com/in/danielyccho/,,True,False,,Toronto,Ontario,,Canada,linkedin,2020-09-30T11:53:33.871Z,2020-11-10T01:32:30.508Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/danielyccho/,,Graduate Degree (Masters),Entry Level (0-2 Years),Chemical Engineering,"Construction or Infrastructure, Financial Services, Manufacturing ",Full Time,,University of Toronto,True,True,True,True b188cfb9-0f16-47b7-88f0-be7e2b971df6,kalli@hotmail.ca,Kalli,Buchanan,https://talenthub.vectorinstitute.ai/profiles/1957652/view_image/0.jpeg,,,,,,,https://www.linkedin.com/in/kallitb,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b188cfb9-0f16-47b7-88f0-be7e2b971df6/resume,,,,,linkedin,2020-08-29T14:04:39.496Z,2020-08-29T14:04:39.663Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,,Ms.,https://www.linkedin.com/in/kallitb,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Data Science and Knowledge Engineering,Type of Work is More Important to me than Sector,"Full Time, Contract",,Other,True,False,True,True 09f10555-1ffd-469b-9ccc-a054cc4d02ae,yanyan6@schulich.yorku.ca,Yan,Yan,https://talenthub.vectorinstitute.ai/profiles/1974138/view_image/0.jpeg,,,,,,,https://www.linkedin.com/in/yanyan6,,True,False,https://canadaai.jobboard.io/api/v1/profiles/09f10555-1ffd-469b-9ccc-a054cc4d02ae/resume,,,,,linkedin,2020-09-11T14:54:05.615Z,2020-09-11T14:54:05.801Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/yanyan6/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management in Artificial Intelligence,"Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development)",Full Time,,York University,True,True,True,True -32d5f3a9-b03f-43aa-a39e-2eef40294f8f,cagri.yaradanakul@gmail.com,Çağrı,Yaradanakul,https://talenthub.vectorinstitute.ai/profiles/2390486/view_image/1606485859771.jpeg,Data Analyst,,5199941698,,,,https://www.linkedin.com/in/cagriykul,,True,False,https://canadaai.jobboard.io/api/v1/profiles/32d5f3a9-b03f-43aa-a39e-2eef40294f8f/resume,,,,,linkedin,2021-06-08T19:22:08.137Z,2021-06-08T19:22:08.317Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/cagriykul,"Data science, Machine learning, Optimization",Graduate Degree (Masters),Senior Level (5+ Years),Master of Business Analytics,"Construction or Infrastructure, Manufacturing , Professional Services (e.g Consulting), Retail, Technology (Information and Media), Transportation","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Product/Project Manager",York University,True,True,True,True -2f34f80b-fe20-4d79-b962-1ae0b41cc3f5,robinsun1997@outlook.com,Jianan,Sun,https://talenthub.vectorinstitute.ai/profiles/2805741/view_image/1621531956909.jpeg,,,6476428266,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2f34f80b-fe20-4d79-b962-1ae0b41cc3f5/resume,Toronto,Ontario,,Canada,linkedin,2022-05-10T23:57:09.385Z,2022-05-10T23:57:09.800Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,N/A,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),statistics,"Financial Services, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst",University of Waterloo,True,False,True,True +0dc4d2e2-a24b-42ef-b553-b547f3b983a9,arnavbh9@gmail.com,Arnav,Bhardwaj,https://talenthub.vectorinstitute.ai/profiles/1944283/view_image/0.jpeg,,,,,,,https://www.linkedin.com/in/arnav-bhardwaj-8a04b3137/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0dc4d2e2-a24b-42ef-b553-b547f3b983a9/resume,,,,,linkedin,2020-08-20T19:11:12.205Z,2020-08-20T19:11:12.384Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/arnav-bhardwaj-8a04b3137/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,"Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,,University of Toronto,True,True,True,True +a3e42f38-ffe5-452e-a2b0-a97809fd6e34,pinigin@gmail.com,Sergey,Pinigin,https://talenthub.vectorinstitute.ai/profiles/1970969/view_image/0.jpeg,"Product Director, ML/Data Science consultant","15+ years of experience launching products in different industries, engaging teams at all organizational levels and externally, and accelerating solutions delivery. Data-centred projects in recent years.",4169183221,,,,https://www.linkedin.com/in/pinigin/,pinigin,True,False,https://canadaai.jobboard.io/api/v1/profiles/a3e42f38-ffe5-452e-a2b0-a97809fd6e34/resume,Toronto,Ontario,,Canada,linkedin,2020-09-09T01:48:59.664Z,2020-09-09T01:48:59.887Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,,Mr.,https://www.linkedin.com/in/pinigin/,,Graduate Degree (Masters),Senior Level (5+ Years),Biophysics,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Contract, Capstone Project",,Other,True,True,True,True +943dc32a-1788-4624-81df-258c1b41fe2e,dames.macey@gmail.com,Macey,"Dames, CPHR, SHRM-CP",https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,HR Business Partner | Policy Advisor | Employee Relations Specialist | Workplace Investigator,"I'm an HR professional with 6+ years of progressive experience working for large matrix organizations in the Oil & Gas, Retail and Consulting industries across Canada. +Throughout my career, I’ve oscillated between roles and projects that require a high degree of technical skill and emotional intelligence. Clients have recognized me for being an empathetic listener and an analytical thinker. As a result, I offer a unique perspective as someone who understands the value of data and knows how to communicate data-driven change. In every role, my mission has been to provide a superior employee experience at every stage of the employee life cycle, treat people with dignity and respect while navigating challenging and ambiguous situations, and deliver data-driven solutions to improve the business. +My key areas of specialty include: Employee Relations, Policy Development & Interpretation, Workplace Investigations, and People Analytics. ",,,,,https://www.linkedin.com/in/maceydames/,,True,True,,Toronto,Ontario,,Canada,linkedin,2020-12-24T04:12:26.448Z,2020-12-29T01:52:25.834Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/maceydames/,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Management Analytics,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector",Full Time,,Queen's University,True,True,True,True 6cbfd910-7f12-4c0f-a457-1645003162e1,sh_nezhadi@yahoo.com,Sayyed H.,Nezhadi,https://talenthub.vectorinstitute.ai/profiles/2090889/view_image/0.jpeg,"C-level IT Executive, Enterprise AI Leader and Educator, Applied AI Researcher",,4168233752,,,,https://www.linkedin.com/in/sayyednezhadi/,,True,False,,Richmond Hill,Ontario,,Canada,linkedin,2020-10-07T16:55:03.769Z,2020-10-07T16:55:04.029Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,"Frank Rudzics, Sanja Fidler",Already Graduated,,Mr.,https://www.linkedin.com/in/sayyednezhadi/,,Postgraduate Degree (PhD),Senior Level (5+ Years),"Computer Science, AI (Computer Vision/NLP)","Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Product Development)","Full Time, Contract",,University of Toronto,True,False,True,True -61d6ff0d-bac1-487e-95fa-caa22cd498c6,paulmorecasa@gmail.com,Pablo Antonio,Moreno Casares,https://talenthub.vectorinstitute.ai/profiles/2249524/view_image/1557919730350.jpeg,PhD student,,,,,,https://www.linkedin.com/in/pablo-antonio-moreno-casares/,Pablomorecasa,True,False,,,,,,linkedin,2021-02-28T13:42:59.124Z,2021-02-28T15:53:45.229Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,None of the above,Mr.,https://www.linkedin.com/in/pablo-antonio-moreno-casares/,"Fairness, Interpretability, Quantum computing",Graduate Degree (Masters),Mid-Level (3-5 Years),PhD in Quantum algorithms,"Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Software, Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship",,Other,True,True,True,True 5a273170-a2b6-43eb-8a5c-3b4a5aeb3e58,soren.sabet@gmail.com,Soren,Sabet Sarvestany,https://talenthub.vectorinstitute.ai/profiles/2125450/view_image/0.jpeg,Machine Learning MSc Student,"Data Scientist with 3 years of experience in predictive modelling and NLP. Currently working towards an MSc in Computer Science. Graduate of the Engineering Science program (Aerospace Major). Proven self starter across multiple projects in research, industry, and start-up settings. ",4167094657,,https://sorensabet.wixsite.com/design-portfolio,,https://www.linkedin.com/in/soren-sabet/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5a273170-a2b6-43eb-8a5c-3b4a5aeb3e58/resume,,,,,linkedin,2020-11-07T17:59:55.682Z,2021-02-17T20:10:36.147Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Anna Goldenberg,Already Graduated,,Mr.,https://www.linkedin.com/in/soren-sabet/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,Type of Work is More Important to me than Sector,"Internship, Co-op, Contract",,University of Toronto,True,True,True,True -3928d174-bb10-49d5-a55c-514df898c85d,nandhu.cs@queensu.ca,Nandhu,Chandrasekharan S,https://talenthub.vectorinstitute.ai/profiles/1729332/view_image/RKPH8664__2__-_Copy_-_Copy.JPG,Analytics Professional ,,4372196044,,,,http://www.linkedin.com/in/nandhu-cs,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3928d174-bb10-49d5-a55c-514df898c85d/resume,Toronto,Ontario,,Canada,,2020-04-27T18:07:24.478Z,2020-09-22T18:41:08.283Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/nandhu-cs/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Masters of Management Analytics,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Contract",,Queen's University,True,True,True,True -81e06d8a-c548-4910-b298-a37405c7b8ae,srinidhipy@gmail.com,Chetan,Srinidhi,https://talenthub.vectorinstitute.ai/profiles/2513561/view_image/Chetan_Srinidhi.png,Postdoctoral Fellow,"I am a Postdoc Fellow at the Sunnybrook Research Institute, Department of Medical Biophysics, University of Toronto, supervised by Prof. Anne L. Martel. Previously, I completed my Ph.D. at the Department of Electronics and Communication Engineering, National Institute of Technology Karnataka (NITK), Surathkal, India. -My research focuses on the interdisciplinary field of medical image analysis and artificial intelligence, with an emphasis on computational pathology for improving cancer diagnosis and patient survival outcomes. Specifically, I am interested in developing annotation efficient machine learning methods for healthcare applications with a strong focus on Self-supervised, Semi-supervised, Weakly-supervised, and Curriculum-based learning methods.",4379858050,,https://srinidhipy.github.io/,,https://www.linkedin.com/in/chetan-srinidhi-a44437178/,ChetanSrinidhi,True,False,https://canadaai.jobboard.io/api/v1/profiles/81e06d8a-c548-4910-b298-a37405c7b8ae/resume,Toronto,Ontario,,Canada,,2021-09-17T14:28:25.456Z,2021-10-15T02:40:26.748Z,False,False,Connected to Vector Research,Yes,Vector Faculty or Faculty Affiliate,Prof. Anne L. Martel,Already Graduated,,Dr.,https://www.linkedin.com/in/chetan-srinidhi-a44437178/,"Computer vision, Healthcare and/or medical imaging, Self-supervised learning",Postgraduate Degree (PhD),Senior Level (5+ Years),Postdoctoral Fellow,"Health, Technology (Product Development)",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",University of Toronto,True,True,True,True -cafa65c3-d672-4404-b473-e88aaea0c665,jixuan.cs@gmail.com,Jixuan,Wang,https://talenthub.vectorinstitute.ai/profiles/2154195/view_image/1606494726079.jpeg,,"I'm a PhD student at the University of Toronto. My research interest is applying deep learning and machine learning for conversational understanding, such as speaker/speech recogntion and NLP. I'm also interested in meta-learning, transfer learning and graph neural networks in general.",6476758633,,http://www.cs.toronto.edu/~jixuan/,,https://www.linkedin.com/in/jixuan-wang/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/cafa65c3-d672-4404-b473-e88aaea0c665/resume,Toronto,Ontario,,Canada,linkedin,2020-12-09T04:37:40.030Z,2021-07-22T13:56:12.068Z,False,False,Connected to Vector Research,Yes,Post Graduate Affiliate,"Frank Rudzicz, Michael Brudno",Already Graduated,,Mr.,https://www.linkedin.com/in/jixuan-wang/,"Deep learning, Few-shot learning, Machine learning, Meta-learning, Natural language processing, Representation learning, Self-supervised learning, Transfer learning",Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Science,Type of Work is More Important to me than Sector,Full Time,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -0a692a5a-e494-40ae-ad25-f3b76ea40fba,jackxsj1999@gmail.com,Sijie,Xu,https://talenthub.vectorinstitute.ai/profiles/2680383/view_image/1540843879905.jpeg,MMath in Data Science & Artificial Intelligence @ UW,,6476746066,,,,https://www.linkedin.com/in/sijie-xu/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0a692a5a-e494-40ae-ad25-f3b76ea40fba/resume,,,,,linkedin,2022-02-07T04:37:21.575Z,2022-02-07T04:37:22.094Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/sijie-xu/,"Bioinformatics, Data science, Deep learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Science & Artificial Intelligence,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Waterloo,True,True,True,True -d18dfa10-e878-4e49-b382-d9eb0dedfd08,ymkhaw@gmail.com,Yew Meng,Khaw,https://talenthub.vectorinstitute.ai/profiles/2162977/view_image/1605913323040.jpeg,Senior Consultant - Data & Analytics at EY,,,,,,https://www.linkedin.com/in/yewmeng-khaw,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d18dfa10-e878-4e49-b382-d9eb0dedfd08/resume,Toronto,Ontario,,Canada,linkedin,2020-12-18T15:08:01.341Z,2021-01-04T19:43:15.536Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Scott Sanner,Already Graduated,Student of Prof. Sanner and Prof. Sanner is a co-author of my papers,Mr.,www.linkedin.com/in/yewmeng-khaw,"Anomaly detection, Deep learning, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Applied Science - Electrical and Computer Engineering,"Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)",Full Time,,University of Toronto,True,True,True,True -67730d15-3f36-497e-ad1a-02e9d722382e,vaakesan.sundrelingam@gmail.com,Vaakesan,Sundrelingam,https://talenthub.vectorinstitute.ai/profiles/1617366/view_image/XT3A2042_copy_adjusted.jpg,Graduate Student at University of Waterloo,"Machine Learning, Data Science, and Advanced Analytics. -Always learning. Solving problems. 3+ years of experience creating value from data.",,,https://sundrelingam.github.io/vaakesan/,,https://www.linkedin.com/in/vaakesansundrelingam/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/67730d15-3f36-497e-ad1a-02e9d722382e/resume,,,,,linkedin,2020-01-26T01:09:49.156Z,2021-06-14T15:52:33.145Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/vaakesansundrelingam/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),MMath Statistics (Data Science Specialization),Type of Work is More Important to me than Sector,Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer",University of Waterloo,True,True,True,True -31838523-295c-4d57-b258-d51ccc410190,namratadeka5@gmail.com,Namrata,Deka,https://talenthub.vectorinstitute.ai/profiles/2648548/view_image/avatar_hu6b7664f523075193f9f11d79c1c9dcfa_98216_270x270_fill_q90_lanczos_center.jpg,"MSc. Computer Science, UBC",,(672) 999-6762,,https://namratadeka.github.io/,,https://www.linkedin.com/in/namrata-deka/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/31838523-295c-4d57-b258-d51ccc410190/resume,Vancouver,British Columbia,,Canada,,2022-01-13T20:27:34.023Z,2022-01-15T06:11:54.178Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Ms.,https://www.linkedin.com/in/namrata-deka/,"Computer vision, Fairness, Representation learning",Graduate Degree (Masters),Mid-Level (3-5 Years),2,Type of Work is More Important to me than Sector,Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True -71883737-b0d0-4d8c-bb3c-57bd37ede3d7,rex.ma@mail.utoronto.ca,Rex,Ma,https://talenthub.vectorinstitute.ai/profiles/2120539/view_image/0.jpeg,"PhD in Computer Science, University of Toronto","Rex is currently a Computer Science Ph.D. student at the University of Toronto. He is a creative researcher and experienced software engineer. Rex is especially good at coding and mathematics, and his research focuses on machine learning, AI in healthcare, and computation biology. ",3069140122,,,,https://www.linkedin.com/in/rex-ma-20a455113/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/71883737-b0d0-4d8c-bb3c-57bd37ede3d7/resume,Toronto,Ontario,,Canada,linkedin,2020-11-02T22:12:53.499Z,2021-10-27T01:05:10.297Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,"Anna Goldenberg, Bo Wang",Fall 2024 (August - November),,Mr.,https://www.linkedin.com/in/rex-ma-20a455113/,"Computational biology, Deep learning, Healthcare and/or medical imaging, Time-series forecasting and modelling",Postgraduate Degree (PhD),Entry Level (0-2 Years),Computer Science,"Education, Financial Services, Health, Software, Technology (Product Development)","Internship, Co-op, Capstone Project",,University of Toronto,True,True,True,True -34394d89-6ef1-461a-9f6a-b5da68b080b6,m.reza.rezaei72@gmail.com,mohammad R.,Rezaei,https://talenthub.vectorinstitute.ai/profiles/2444700/view_image/1521955916641.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-07-23T02:33:47.348Z,2021-07-23T02:33:47.531Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/mohammad-r-rezaei-627b66150/,,,,,,,,,True,True,True,True -b95cb9a1-ed97-4e5a-87bc-5f7cf168188f,chahakpatel7@gmail.com,Chahak,Patel,https://talenthub.vectorinstitute.ai/profiles/2450727/view_image/1586297814463.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-07-28T20:15:59.825Z,2021-07-28T20:16:00.012Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/chahakp7/,,,,,,,,,True,False,True,True -216bf757-a942-43f0-8f6d-851009842865,danielmei@gmail.com,Daniel,Mei,https://talenthub.vectorinstitute.ai/profiles/2718577/view_image/1600347692376.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-03-07T21:07:22.308Z,2022-03-07T21:07:22.798Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/daniel--mei/,,,,,,,,,True,True,True,True -bf5c025f-6aba-4d20-99fb-9f33ba0fbcc8,wq248989368@gmail.com,Annita (Qu),Wen,https://talenthub.vectorinstitute.ai/profiles/2636751/view_image/1635255240911.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-01-05T02:13:54.699Z,2022-01-05T02:13:55.146Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/qwen27/,,,,,,,,,True,True,True,True +32d5f3a9-b03f-43aa-a39e-2eef40294f8f,cagri.yaradanakul@gmail.com,Çağrı,Yaradanakul,https://talenthub.vectorinstitute.ai/profiles/2390486/view_image/1606485859771.jpeg,Data Analyst,,5199941698,,,,https://www.linkedin.com/in/cagriykul,,True,False,https://canadaai.jobboard.io/api/v1/profiles/32d5f3a9-b03f-43aa-a39e-2eef40294f8f/resume,,,,,linkedin,2021-06-08T19:22:08.137Z,2021-06-08T19:22:08.317Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/cagriykul,"Data science, Machine learning, Optimization",Graduate Degree (Masters),Senior Level (5+ Years),Master of Business Analytics,"Construction or Infrastructure, Manufacturing , Professional Services (e.g Consulting), Retail, Technology (Information and Media), Transportation","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Product/Project Manager",York University,True,True,True,True +976bd36a-9525-41f8-b4df-8b80e891f99f,nvarghese787@gmail.com,Nelson,Vithayathil Varghese,https://talenthub.vectorinstitute.ai/profiles/2472562/view_image/Nelson_Photo.jpeg,Experienced Software Engineer,"My name is Nelson, a masters graduate who holds a Master of Applied Science(MASc) degree in Electrical and Computer Engineering from Ontario Tech University, Oshawa, ON and a Bachelor of Technology degree in Computer Engineering from Cochin University of Science and Technology, India. The major focus of my Master degree was on machine learning based research and course subjects, which provided a great amount of exposure on the related technologies . I am passionate about the Machine Learning/Deep Learning and Data Science domain. Additionally, I also possess past work experience as a software developer and researcher by associating with top-notch companies as well as research institutes. This has helped me to not only build knowledge on software development life cycle under a corporate working environment but also to gain soft skills such as strong interpersonal and communicational skills , both written and verbal.",2896759246,,,,https://www.linkedin.com/in/nelsonvarghese/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/976bd36a-9525-41f8-b4df-8b80e891f99f/resume,Oshawa,Ontario,,Canada,,2021-08-17T18:52:42.409Z,2021-10-08T17:36:16.842Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/nelsonvarghese/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Senior Level (5+ Years),Master of Applied Science in Electrical and Computer Engineering,"Financial Services, Health, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Full Time, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",OntarioTech University,True,True,True,True +998a936c-5bd5-42ce-bb71-4e26c5fa96e2,alex.yy.cui@gmail.com,Alex,Cui,https://talenthub.vectorinstitute.ai/profiles/2355567/view_image/1516529381666.jpeg,Machine Learning Researcher ,,4163155291,,https://alexcui.ca,,https://www.linkedin.com/in/alex-cui-caltech/,alexcdot,True,False,https://canadaai.jobboard.io/api/v1/profiles/998a936c-5bd5-42ce-bb71-4e26c5fa96e2/resume,Toronto,Ontario,,Canada,linkedin,2021-05-13T00:29:21.889Z,2021-05-14T20:11:05.553Z,False,False,Connected to Vector Research,Yes,Vector Scholarship Recipient,Raquel Urtasun,Winter 2023,,Mr.,https://www.linkedin.com/in/alex-cui-caltech/,"Computer vision, Deep learning, Robotics",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Masters in Computer Science,"Health, Software, Technology (Product Development), Transportation","Full Time, Internship","Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +6d97384f-6a3a-4b57-b0b1-e8343f41341b,amithkknbr@gmail.com,Amith,Keloth Kaitheri,https://talenthub.vectorinstitute.ai/profiles/2341167/view_image/1581093488605.jpeg,Business Analyst,"Actively looking for a full-time job to showcase my skills and abilities. I am a self-motivated and inspired team player with a demonstrated history of working in the Telecom industry. Intrigued and inclined towards areas of telecommunication, RF, troubleshooting, python, and automation.",,,,,https://www.linkedin.com/in/amith-nambiar-a37317111/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6d97384f-6a3a-4b57-b0b1-e8343f41341b/resume,Windsor,Ontario,,Canada,linkedin,2021-05-02T01:08:39.162Z,2021-05-04T01:05:15.380Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/amith-nambiar-a37317111/,"AI safety, Bioinformatics, Deep learning, Law, ethics and policy, Online learning, Optimization, Robotics",Graduate Degree (Masters),Entry Level (0-2 Years),M.Eng in Electrical and Computer Engineering,"Education, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Telecommunications",Full Time,"Data Analyst, Other ",University of Windsor,True,True,True,True +cb798c4f-6750-4481-be33-87d467b436dc,ishitakumar0@gmail.com,Ishita,Kumar,https://talenthub.vectorinstitute.ai/profiles/2482438/view_image/1591378724193.jpeg,"M.Sc. Statistics graduate from the London School of Economics with 3 years of research experience involving machine learning, AI, empirical modelling and forecasting using Python, R, and SQL",,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/cb798c4f-6750-4481-be33-87d467b436dc/resume,,,,Canada,,2021-08-25T14:52:06.418Z,2021-08-25T14:52:06.481Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/ishita-kumar-ab0bb9133/,"Bayesian methods, Data science, Deep learning",Graduate Degree (Masters),Entry Level (0-2 Years),M.Sc. in Statistics,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",Other,True,False,True,True +9cc0f2da-256e-4b67-9eaa-ebfc82a4dc16,mail.jaswal@gmail.com,Munish,Jaswal,https://talenthub.vectorinstitute.ai/profiles/1944068/view_image/bl-right_munish.jpg,,,6473938459,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9cc0f2da-256e-4b67-9eaa-ebfc82a4dc16/resume,Toronto,Ontario,,Canada,,2020-08-20T16:44:28.298Z,2020-09-17T16:19:52.811Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Already Graduated,,Mr.,https://www.linkedin.com/in/munishjaswal/,,Graduate Degree (Masters),Senior Level (5+ Years),MMAI,"Health, Professional Services (e.g Consulting), Software, Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Contract, Capstone Project",,Queen's University,True,True,True,True +49fa77b9-5957-4afe-8813-c723a2e004b5,shilpa.hv05@gmail.com,Shilpa,Honnavara Viswanathaiah,https://talenthub.vectorinstitute.ai/profiles/1944064/view_image/IMG_3203.jpg,,,,,,,https://www.linkedin.com/in/shilpahv/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/49fa77b9-5957-4afe-8813-c723a2e004b5/resume,Burlington,Ontario,,Canada,,2020-08-20T16:44:24.485Z,2021-05-19T00:12:27.441Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mrs.,https://www.linkedin.com/in/shilpahv/,"Data science, Healthcare and/or medical imaging, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management in Artificial Intelligence,"Education, Health, Manufacturing , Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Full Time, Internship, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True +61f9bbc7-ceab-4efa-96cc-812c0ff14ecf,11jm142@queensu.ca,John,McKenzie,https://talenthub.vectorinstitute.ai/profiles/1966786/view_image/0.jpg,New Analytics and Business Professional.,"Looking to work on challenging and collaborative projects that combine data analytics and finance aptitude so that I can work towards delivering business value through technical solutions to stakeholders. I excel in team environments and use my inquisitive and analytical nature, coupled with my propensity to learn new things to deliver consistent incremental value to members of my team and vested parties to the project. +Presently my skills in structured and unstructured data cleaning, processing, exploration, modeling, and machine learning is focused on R programming, I am in the process of transitioning those skills to python. +Links to my profiles can be found at johnrmckenzie.com ",416457779,,http://johnrmckenzie.com,,https://www.linkedin.com/in/johnmckenzie117/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/61f9bbc7-ceab-4efa-96cc-812c0ff14ecf/resume,Toronto,Ontario,,Canada,,2020-09-04T14:57:49.678Z,2020-09-11T18:24:41.062Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/johnmckenzie117/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Masters in Managerial Analytics,"Financial Services, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Product Development)","Full Time, Internship, Contract",,Queen's University,True,False,True,True +26c8a821-f93c-4285-9ef7-3d5c3cfd97ba,tsun@connect.ust.hk,Ting,Sun,https://talenthub.vectorinstitute.ai/profiles/2409422/view_image/1516543279957.jpeg,,,,,,,https://www.linkedin.com/in/ting-sun-04a1a075/,,True,False,,,,,,linkedin,2021-06-23T16:59:23.061Z,2021-06-23T16:59:23.246Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,job hunting,Miss.,https://www.linkedin.com/in/ting-sun-04a1a075/,Computer vision,Postgraduate Degree (PhD),Entry Level (0-2 Years),PhD in ECE HKUST,,Full Time,Machine Learning Researcher/Scientist ,Other,True,False,True,True +218b87b3-a5f5-4f75-ae9e-7c1579359c07,patily@gmail.com,Yogesh,Patil,https://talenthub.vectorinstitute.ai/profiles/2494610/view_image/1576005985253.jpeg,,,,,,,https://www.linkedin.com/in/patilyogesh/,,True,False,,,,,,linkedin,2021-09-02T14:27:16.701Z,2021-09-02T14:27:16.887Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022,,Mr.,https://www.linkedin.com/in/patilyogesh/,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Management in Artificial Intelligence,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Product/Project Manager, Other ",Queen's University,True,True,True,True +35bf8fff-408a-4053-a660-88cd7765ccbe,rizzwanali12@gmail.com,Rizwan,Ali,https://talenthub.vectorinstitute.ai/profiles/1944074/view_image/71963160_528580217866450_7043248819248562176_n.jpg,,,,,,,https://www.linkedin.com/in/alliriz/,,True,False,,,,,,,2020-08-20T16:44:33.985Z,2020-09-22T13:36:37.620Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/alliriz/,,Graduate Degree (Masters),Entry Level (0-2 Years),MEng. Mechanical and Industrial Engineering,"Construction or Infrastructure, Financial Services, Professional Services (e.g Consulting), Retail, Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship",,University of Toronto,True,False,True,True 8dc1847b-4029-4052-8abb-dda6ad2d24ca,james.ong.jiayi@gmail.com,Jia Yi,Ong,https://talenthub.vectorinstitute.ai/profiles/2482265/view_image/1528974233881.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-08-25T12:57:13.967Z,2021-08-25T12:57:14.135Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/james-ong-jiayi/,,,,,,,,,True,False,True,True -103a576e-8f38-4ad5-a356-3b6897887eab,wansong.lee@utoronto.ca,Wan Song,Lee,https://talenthub.vectorinstitute.ai/profiles/1868739/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-07-12T20:47:47.245Z,2020-07-12T20:47:47.464Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/wansonglee/,,,,,,,,,True,False,True,True -ac83e769-852a-444a-aa58-6248f1fff1d8,akinplus@yahoo.com,Paul,Akinpelu,https://talenthub.vectorinstitute.ai/profiles/2624521/view_image/AKINPELU.jpg,"Experienced IT professional/bank examiner focused on developing effective and efficient processes using knowledge of financial innovation, data science, software development and project management","Paul Akinpelu is a Senior IT Specialist Bank Examiner with 14 years of work experience. He is excellent at applying IT knowledge, skills and expertise in helping organizations enhance their business processes and achieve their strategic goals. Over the last three years, he led a specialist team to design an award-winning Anti-Money Laundering/Combating Financing Terrorism software solution for the apex bank. -With an educational background in mathematics, computer science and finance, he is currently pursuing another master’s degree programme in Financial Innovation and Technology at the Smith School of Business, Queens University, Kingston, Ontario. He truly believes data science, machine learning, and technological innovation are critical to modern-day businesses' success. -When he isn't helping businesses get a competitive advantage, Paul enjoys playing his favourite musical instruments. -",647 834 1952,,,,https://www.linkedin.com/in/yemai/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ac83e769-852a-444a-aa58-6248f1fff1d8/resume,Mississauga,Ontario,,Canada,,2021-12-22T19:55:53.464Z,2022-01-10T06:59:14.293Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/yemai/,"Data science, Deep learning, Machine learning, Privacy, anonymity, and/or security, Recommender systems, Unsupervised learning",Graduate Degree (Masters),Senior Level (5+ Years),Financial Innovation and Technology,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Software Engineer, Other ",Queen's University,True,True,True,True -e0fdfa40-5f3d-4b17-884e-fbec0c75ed00,a.gritsevskiy@mail.utoronto.ca,Andrew,Gritsevskiy,https://talenthub.vectorinstitute.ai/profiles/2504442/view_image/Screenshot_from_2021-09-22_23-59-04.png,Research assistant,"I'm a math student at UofT, interested in reinforcement learning, AI, quantum computing, and neuroscience.",+1 (781) 353-8889,,https://andrew.fi,,https://www.linkedin.com/in/agritsevskiy/,,True,False,,Toronto,Ontario,,Canada,,2021-09-10T17:42:44.073Z,2021-09-10T18:45:28.204Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/agritsevskiy/,"Machine learning, Reinforcement learning, Robotics",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Mathematics,Type of Work is More Important to me than Sector,"Internship, Co-op, Capstone Project","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True -63b218c0-bdfe-4769-b521-fe90513d4c78,rupendra.raavi@ontariotechu.net,Rupendra,Raavi,https://talenthub.vectorinstitute.ai/profiles/2624600/view_image/IMG_0040.jpeg,AI (Deep Learning),Deeply Interested to work on machine learning technologies and being specific on deep learning and computer vision.,,,,,https://www.linkedin.com/in/rupendra1998,,True,False,https://canadaai.jobboard.io/api/v1/profiles/63b218c0-bdfe-4769-b521-fe90513d4c78/resume,Whitby,Ontario,,Canada,,2021-12-22T19:56:42.974Z,2022-02-15T20:03:29.171Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,www.linkedin.com/in/rupendra1998,"Computer vision, Data science, Deep learning, Machine learning, Natural language processing, Recommender systems, Time-series forecasting and modelling, Transfer learning",Graduate Degree (Masters),Entry Level (0-2 Years),Msc Computer Science,,Contract,"Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",OntarioTech University,True,True,True,True -a895b5c7-3ce9-498e-b47c-07eff24e427b,ali.ahmed.hd@gmail.com,Ali ,A.E. Ahmed,https://talenthub.vectorinstitute.ai/profiles/2508240/view_image/1624590752653.jpeg,Senior Analyst & Reseacher,"Canadian/Egyptian located in Egypt with experience from from UN to SAP and MS Partners, Ali is a master digitalization professional. Currently doing his MLOps certification and his Phd in OR. Ali brings both operations and business plus academic drive. Going into 10 year of experience in both academic, non-profit, and for-profit organizations, Ali brings leadership in reaching the optimal potential in both business and learning style. ",201060116900,,http://enter-cloud.xyz,,https://www.linkedin.com/in/aaahmed/,aaahmed86,True,False,,,,,,linkedin,2021-09-14T02:57:15.592Z,2021-09-14T02:57:15.743Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Fall 2024 (August - November),CIFAR DLRL 2021 Summer School,Mr.,https://www.linkedin.com/in/aaahmed/,"Data science, Machine learning, Optimization, Quantum computing, Reinforcement learning, Robotics, Statistical learning theory, Time-series forecasting and modelling, Wearable technology and/or Internet of Things",Postgraduate Degree (PhD),Senior Level (5+ Years),Operations Research,"Construction or Infrastructure, Education, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Product Development), Transportation","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Researcher/Scientist , Product/Project Manager, Other ",Ryerson University,True,True,True,True -57a8cf36-a064-4d57-890a-dfbb688cd809,xiaoyu.yang94@hotmail.com,Xiaoyu,Yang,https://talenthub.vectorinstitute.ai/profiles/1588941/view_image/me_.png,Ph.D. student at Queen's University,"I'm a 3rd year Ph.D. student at Queen's University. My research mainly focuses on natural language processing, including natural language reasoning over structured and unstructured data, incorporating external knowledge into neural models for improving knowledge-grounded natural language reasoning, commonsense reasoning, etc.",6135311794,,https://arielsho.github.io/,,https://www.linkedin.com/in/xiaoyu-yang-019855170/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/57a8cf36-a064-4d57-890a-dfbb688cd809/resume,Kingston,Ontario,,Canada,linkedin,2020-01-07T19:59:44.007Z,2022-05-12T17:49:41.116Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,Xiaodan Zhu,Already Graduated,,Ms.,https://www.linkedin.com/in/xiaoyuyang6005/,"Deep learning, Interpretability, Natural language processing",Postgraduate Degree (PhD),Mid-Level (3-5 Years),PHD program,"Retail, Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True -7e36400c-1135-41a5-95a7-b2069ed020b6,martaskreta@cs.toronto.edu,Marta,Skreta,https://talenthub.vectorinstitute.ai/profiles/2544024/view_image/IMG_6464.jpg,"Computer Science PhD student, University of Toronto",Machine Learning for the Design of Self-Driving Labs; Generative Modelling for the Discovery of New Materials,,,,,https://www.linkedin.com/in/martaskreta/,martoskreto,True,False,https://canadaai.jobboard.io/api/v1/profiles/7e36400c-1135-41a5-95a7-b2069ed020b6/resume,,,,,,2021-10-12T16:55:55.838Z,2021-10-25T17:57:03.605Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Alán Aspuru-Guzik,Spring/Summer 2024 (April - July),,Miss.,https://www.linkedin.com/in/martaskreta/,"Computational biology, Computer vision, Generative modeling",Postgraduate Degree (PhD),Entry Level (0-2 Years),Computer Science,"Health, Software, Technology (Product Development), Type of Work is More Important to me than Sector",Internship,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -bd8f897a-10d8-4287-a689-bd9d452f7917,krodri06@uoguelph.ca,Kaitlyn,Rodriguez,https://talenthub.vectorinstitute.ai/profiles/2504491/view_image/kaitgradpic2.jpg,MSc Bioinformatics student,,,,,,,,True,False,,,,,,,2021-09-10T17:42:54.066Z,2021-09-18T01:28:04.172Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Miss.,N/A,"Bioinformatics, Computational biology, Computer vision",Graduate Degree (Masters),Entry Level (0-2 Years),MSc Bioinformatics,Type of Work is More Important to me than Sector,Internship,Other ,University of Guelph,True,False,True,True -6522d86c-a696-411a-91d6-ba53cd278bf6,ahmadf32@mcmaster.ca,Faraz,Ahmadi,https://talenthub.vectorinstitute.ai/profiles/1932185/view_image/FoucusedHeadshot.jpg,Data Scientist,,647-284-9609,,http://farazahmadi.github.io,,https://www.linkedin.com/in/farazahmadi/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6522d86c-a696-411a-91d6-ba53cd278bf6/resume,Hamilton,Ontario,,Canada,,2020-08-13T19:40:37.941Z,2021-01-25T15:44:10.843Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,www.linkedin.com/in/farazahmadi,,Graduate Degree (Masters),Entry Level (0-2 Years),Computational Science and Engineering,"Financial Services, Health, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract",,McMaster University,True,False,True,True -5cf19b12-4ad2-4b04-b59a-591cacc53e5c,mohammad.afshari2@mail.mcgill.ca,Mohammad,Afshari,https://talenthub.vectorinstitute.ai/profiles/1927903/view_image/0.jpeg,,,5146512452,,http://cim.mcgill.ca/~mohammad/,,https://www.linkedin.com/in/mohammad-afshari/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5cf19b12-4ad2-4b04-b59a-591cacc53e5c/resume,Montreal,Quebec,,Canada,linkedin,2020-08-11T23:40:04.919Z,2020-08-11T23:40:05.077Z,False,False,Connected to Another AI Institute,Yes,Other/Unsure,,Already Graduated,,Mr.,https://www.linkedin.com/in/mohammad-afshari/,,Postgraduate Degree (PhD),Entry Level (0-2 Years),Electrical and Computer Engineering,"Financial Services, Health, Software, Technology (Information and Media)","Full Time, Internship",,Other,True,True,True,True -148ca448-1b47-405b-a11a-3190f837f2b0,huguesthomas218@gmail.com,Hugues,THOMAS,https://talenthub.vectorinstitute.ai/profiles/2509513/view_image/1517540273605.jpeg,,,,,https://huguesthomas.github.io/,,https://www.linkedin.com/in/hugues-thomas-951945b0,,True,False,,,,,,linkedin,2021-09-14T21:14:19.353Z,2021-09-20T15:24:04.518Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Post Graduate Affiliate,Tim Barfoot,Already Graduated,,Mr.,https://www.linkedin.com/in/hugues-thomas-951945b0,,Postgraduate Degree (PhD),Senior Level (5+ Years),3D Computer vision,,"Full Time, Co-op",Machine Learning Researcher/Scientist ,University of Toronto,True,True,True,True -b860ee0c-d262-4955-a41d-37b340f6bdf4,thuanvd@ryerson.ca,Duc Thuan,Vo,https://talenthub.vectorinstitute.ai/profiles/2510452/view_image/1594367158036.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-09-15T14:38:49.214Z,2021-09-15T14:38:49.372Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/duc-thuan-vo-8007561ab/,,,,,,,,,True,True,True,True -6d8c5be9-d6b4-45c6-a853-616594aa71c2,willettisaak@gmail.com,Isaak,Willett,https://talenthub.vectorinstitute.ai/profiles/1875679/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-07-16T20:05:18.646Z,2020-07-16T20:05:18.882Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/isaak-willett/,,,,,,,,,True,True,True,True -187f04ef-6526-402c-8e4f-349398224128,kishore.jayabalan@gmail.com,KISHORE,JAYABALAN,https://talenthub.vectorinstitute.ai/profiles/2176720/view_image/1609209674632.jpeg,Solution Designer / ML Engineer,,16478288785,,,,https://www.linkedin.com/in/jayabalankishore,,True,False,https://canadaai.jobboard.io/api/v1/profiles/187f04ef-6526-402c-8e4f-349398224128/resume,,,,Canada,linkedin,2021-01-02T21:03:26.959Z,2021-05-08T20:29:08.082Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Canada (+1),Already Graduated,,Mr.,https://www.linkedin.com/in/jayabalankishore,"AI safety, Anomaly detection, Bioinformatics, Computer vision, Data science, Deep learning, Gaussian processes, Healthcare and/or medical imaging, Natural language processing, Optimization, Recommender systems, Reinforcement learning, Robotics, Self-supervised learning",Graduate Degree (Masters),Senior Level (5+ Years),MMAI - Masters of Management in Artificial Intelligence,"Construction or Infrastructure, Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Contract, Capstone Project","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True -7e08c65a-684a-4e17-8a8f-90ba24d42dc0,sunzm.xjtu@gmail.com,Zhimin,"Sun, Ph.D.",https://talenthub.vectorinstitute.ai/profiles/2131267/view_image/0.jpeg,,,412-218-9656,,,,https://www.linkedin.com/in/zhimin-sun-ph-d-98603836/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/7e08c65a-684a-4e17-8a8f-90ba24d42dc0/resume,New York,New York,,United States,linkedin,2020-11-13T17:23:27.190Z,2020-11-13T17:23:27.695Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,I am interested in and applying for Vector-recognized Master's programs and/or Vector Institute internships,Dr.,https://www.linkedin.com/in/zhimin-sun-ph-d-98603836/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Mechanical Engineering,Type of Work is More Important to me than Sector,"Full Time, Internship, Contract, Capstone Project",,Other,True,True,True,True -29451d83-bb7e-4cec-b705-f0bc5ff13ed7,clara.stoesser@gmail.com,Clara,Stoesser,https://talenthub.vectorinstitute.ai/profiles/2122584/view_image/0.jpeg,,,4165757420,,,,https://www.linkedin.com/in/clara-stoesser/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/29451d83-bb7e-4cec-b705-f0bc5ff13ed7/resume,Toronto,Ontario,,Canada,linkedin,2020-11-04T20:12:32.998Z,2020-11-04T20:12:33.244Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,Timothy Chan,Already Graduated,,Ms.,https://www.linkedin.com/in/clara-stoesser/,,Graduate Degree (Masters),Entry Level (0-2 Years),Industrial Engineering,"Education, Health, Public Administration (i.e Gov't)",Full Time,,University of Toronto,True,False,True,True -c6d4ac53-2045-4f04-9d89-f27a0631780e,spchandy@schulich.yorku.ca,Sandeep,Chandy,https://talenthub.vectorinstitute.ai/profiles/2168803/view_image/Pic_small.png,Experienced marketing and business development professional ,,647 801 5269,,,,https://www.linkedin.com/in/sandeepchandy,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c6d4ac53-2045-4f04-9d89-f27a0631780e/resume,Toronto,Ontario,,Canada,,2020-12-21T15:12:30.230Z,2021-01-13T23:15:28.994Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/sandeepchandy/,"Computer vision, Deep learning, Natural language processing",Graduate Degree (Masters),Senior Level (5+ Years),Master of Business Analytics,"Financial Services, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Co-op, Contract",,York University,True,True,True,True -c5b9055e-6ece-4e90-b614-bba8b986cded,lina.mntran@gmail.com,Lina,Tran,https://talenthub.vectorinstitute.ai/profiles/1549473/view_image/0.jpeg,PhD Candidate,"I'm currently a PhD Candidate at the University of Toronto. My background is in studying the neuroscience of learning and memory and more recently, have used my neuroscience background to study biologically-inspired deep learning architectures and algorithms. ",,,,,https://www.linkedin.com/in/lina-m-tran/,,True,False,,Toronto,Ontario,,Canada,linkedin,2019-12-02T22:09:20.179Z,2020-07-29T16:33:59.536Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Post Graduate Affiliate,,Already Graduated,,Ms.,https://www.linkedin.com/in/lina-m-tran/,,Postgraduate Degree (PhD),,PhD Physiology,"Education, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media)","Full Time, Contract",,University of Toronto,True,False,True,True -3d289a8e-7868-481c-ae47-f1b6be6c90d3,chau_bill@hotmail.com,Bill,Chau,https://talenthub.vectorinstitute.ai/profiles/1549711/view_image/0.jpeg,"Supervisor of The BRIDGE, a business research and teaching lab at the University of Toronto","I am a data science and programming enthusiast with years’ of experience in the financial industry. Expertize in portfolio modelling, trade management and securities brokerage. ",6478661015,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3d289a8e-7868-481c-ae47-f1b6be6c90d3/resume,Toronto,Ontario,,Canada,linkedin,2019-12-03T03:25:31.653Z,2019-12-03T03:25:31.903Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/bill-chau-cfa-frm-7226294a/,,,,Master of Management Analytics,,"Full Time, Internship, Co-op, Contract, Capstone Project",,Queen's University,True,True,True,True -51b3bfd8-37b3-4367-86c5-b3629499a311,lokejuanyi@gmail.com,Juan Yi,Loke,https://talenthub.vectorinstitute.ai/profiles/2150976/view_image/1606070338432.jpeg,,,,,,,https://www.linkedin.com/in/juanyiloke/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/51b3bfd8-37b3-4367-86c5-b3629499a311/resume,,,,,linkedin,2020-12-05T04:11:04.626Z,2020-12-05T04:11:04.805Z,False,False,Not Affiliated with Vector,No,Other/Unsure,Joseph Jay Williams,Winter 2023,Research Assistant for a Vector Affiliate,Mr.,https://www.linkedin.com/in/juanyiloke/,"Deep learning, Machine learning, Natural language processing, Recommender systems, Reinforcement learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),"Computer Science, Mathematics, Statistics","Education, Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Product Development)","Internship, Co-op, Capstone Project",,University of Toronto,True,True,True,True -7ae90528-6f20-47de-8da9-6a456061bdd3,saanikavenkatesh@gmail.com,Saanika,Venkatesh,https://talenthub.vectorinstitute.ai/profiles/1549664/view_image/0.jpeg,"Master of Health Informatics Candidate, University of Toronto | Research Analyst, eHealth Innovation @UHN","A Master of Health Informatics candidate at the University of Toronto with a passion to advance healthcare services and organizations by implementing pragmatic solutions. I am also a Research Analyst at eHealth Innovation, with a goal of augmenting patient care through mobile applications. ",4167258920,,,,https://www.linkedin.com/in/saanikavenkatesh/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/7ae90528-6f20-47de-8da9-6a456061bdd3/resume,,,,,linkedin,2019-12-03T01:40:48.717Z,2019-12-03T01:40:49.305Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,"University of Toronto, Master of Health Informatics program",,,Miss.,https://www.linkedin.com/in/saanikavenkatesh/,,,,1,Telecommunications,"Internship, Co-op",,University of Toronto,True,True,True,True -63e54076-770d-4209-8bc2-72683d26a995,sarahsawaya123@gmail.com,Sarah,Sawaya,https://talenthub.vectorinstitute.ai/profiles/1550320/view_image/0.jpeg,,,,,,,,,True,False,,Toronto,Ontario,,Canada,linkedin,2019-12-03T13:00:25.300Z,2019-12-03T13:00:25.526Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Miss.,https://www.linkedin.com/in/sarah-sawaya/,,,,Master of Health Informatics,,Internship,,University of Toronto,True,True,True,True -d07f8fbe-8585-4306-ac67-a13c453403de,irfan.hakim@mail.utoronto.ca,Irfan,Hakim,https://talenthub.vectorinstitute.ai/profiles/1549739/view_image/0.jpeg,Emerging Health Informatician ,,6479826670,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d07f8fbe-8585-4306-ac67-a13c453403de/resume,Toronto,Ontario,,Canada,linkedin,2019-12-03T04:42:27.415Z,2019-12-03T18:02:03.409Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/irfanhakim616/,,,,Masters of Health Informatics,,"Full Time, Internship, Co-op, Contract, Capstone Project",,University of Toronto,True,False,True,True -5420b46d-76fb-4ff0-80c3-c36e70c109bd,amirmohammadkz@gmail.com,amirmohammad,kazemeini,https://talenthub.vectorinstitute.ai/profiles/2145626/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-11-29T15:08:37.385Z,2020-11-29T15:08:37.666Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/amirmohammadkz/,,,,,,,,,True,False,True,True -bae70d7f-2de1-4ef9-8f50-0d7e4c6ac4f8,robin@robinsingh.co,Rajvinder (Robin),Singh,https://talenthub.vectorinstitute.ai/profiles/2147636/view_image/1604318218666.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-12-01T16:05:20.729Z,2020-12-01T16:05:21.035Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/robinsingh91/,,,,,,,,,True,True,True,True -0af88269-16bd-4b5d-a9a1-5e381ebc679d,alysashrestha@gmail.com,Alysa,Shrestha,https://talenthub.vectorinstitute.ai/profiles/1549669/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-03T01:52:13.056Z,2019-12-03T01:52:13.225Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/alysa-shrestha-b43a5070/,,,,,,,,,True,True,True,True -00c704fc-ce17-4320-9fab-70628cfef7c3,marisettyrohith@yahoo.com,Rohith,Marisetty,https://talenthub.vectorinstitute.ai/profiles/1570301/view_image/0.jpeg,Master's student at Ontario Tech University,"I am a graduate student at Ontario Tech University pursuing my Masters in Information Technology and Security - Artificial Intelligence. Also graduated from Vellore Institute of Technology with a Masters in Software Engineering. -I have worked for nearly 13 months (1 year) as an Assistant System Engineer (Full-Stack Developer) at Tata Consultancy Services. I have strong programming skills with expertise in Java, AngularJs and front-end technologies. -Looking forward to working with an organization that provides me with an opportunity to achieve the goals of an organization and thereby develop overall growth of my technical and interpersonal skills.",+1 289 688 8694,,,,https://www.linkedin.com/in/rohith-marisetty-377823150,,True,False,https://canadaai.jobboard.io/api/v1/profiles/00c704fc-ce17-4320-9fab-70628cfef7c3/resume,Oshawa,Ontario,,Canada,linkedin,2019-12-19T23:22:22.237Z,2019-12-19T23:22:22.416Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/rohith-marisetty-377823150,,,,Master of Information Technology and Security,,"Internship, Co-op",,OntarioTech University,True,True,True,True -e9a6ce53-25c9-4be7-b992-beb9c5de23ea,deepika97surabhi@gmail.com,Sai Deepika,Surabhi,https://talenthub.vectorinstitute.ai/profiles/1561198/view_image/0.jpeg,,"Student at Lakehead University | ML Enthusiast | Skilled in SQL, R, Python, and OpenCV",8073577518,,,,https://www.linkedin.com/in/sai-deepika-surabhi-4627b6171/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e9a6ce53-25c9-4be7-b992-beb9c5de23ea/resume,,Ontario,,Canada,linkedin,2019-12-11T20:06:54.006Z,2019-12-13T05:04:16.806Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Ms.,https://www.linkedin.com/in/sai-deepika-surabhi-4627b6171/,,,,Computer Science,"Financial Services, Retail, Telecommunications",Full Time,,Lakehead University,True,True,True,True -02413eb7-ef72-401a-bdf5-ceae01f142a8,puja1809@schulich.yorku.ca,Puja,Kumari,https://talenthub.vectorinstitute.ai/profiles/1891088/view_image/Puja.JPG,Senior Consultant with a zeal to deliver impactful solutions to client problems.,"I have over 7 years of experience in Consulting. Worked in digital transformation, Data conversion, and Transaction analysis projects across Public Sector and Insurance industry. ",,,,,https://www.linkedin.com/in/puja-kumari-2a30306a/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/02413eb7-ef72-401a-bdf5-ceae01f142a8/resume,,,,,,2020-07-27T07:16:20.031Z,2020-07-27T07:16:20.051Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/puja-kumari-2a30306a/?,,Graduate Degree (Masters),Senior Level (5+ Years),Masters in Business Analytics,"Education, Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship",,York University,True,True,True,True -02cccdd3-bd69-4036-9d92-f47d62101dd1,14amfg@queensu.ca,Austin,Greisman,https://talenthub.vectorinstitute.ai/profiles/1748234/view_image/QSET_Slack_Smallest_small.jpg,Robotics and AI Researcher | MASc Candidate in ECE at Queen's University,,6478622066,,,,https://www.linkedin.com/in/austin-greisman/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/02cccdd3-bd69-4036-9d92-f47d62101dd1/resume,Kingston,Ontario,,Canada,,2020-05-15T15:03:51.302Z,2020-09-15T18:40:49.087Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/austin-greisman/,,Graduate Degree (Masters),Entry Level (0-2 Years),Electrical Engineering,"Professional Services (e.g Consulting), Type of Work is More Important to me than Sector","Full Time, Contract",,Queen's University,True,True,True,True -3a04daeb-c8c2-4c23-80bf-c167e63433b1,mjohnstone@atb.com,Mitch,"Johnstone, CFA",https://talenthub.vectorinstitute.ai/profiles/1549564/view_image/0.jpeg,Endlessly Curious,"I'm a Product Manager at a regional bank in Alberta. My focus is creating personalized experiences for our customers through the use of AI. -Current Projects: -Predict when customers will reach out, before it happens, and provide personalized insights to allow them to self serve -Integrate mental health and wellness resources into our interactive chat bot. Allow our team members to access these resources in times of need and, using natural language processing, ensure our interface serves them the correct information",4033893266,,http://www.aiformanagement.com,,https://www.linkedin.com/in/mitch-johnstone-cfa-045a365a/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3a04daeb-c8c2-4c23-80bf-c167e63433b1/resume,Toronto,Ontario,,Canada,linkedin,2019-12-02T23:20:14.958Z,2019-12-02T23:20:15.197Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/mitch-johnstone-cfa-045a365a/,,,,MMAI,"Financial Services, Telecommunications","Full Time, Contract, Capstone Project",,Queen's University,True,True,True,True -ce00d36c-f674-445a-814c-5925b3ed5b94,bita.houshmand@ryerson.ca,Bita,Houshmand,https://talenthub.vectorinstitute.ai/profiles/1563065/view_image/IMG_8686.JPG,Data Scientist ,,4168208087,,https://github.com/bita-github,,https://www.linkedin.com/in/bitahoushmand/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ce00d36c-f674-445a-814c-5925b3ed5b94/resume,Toronto,Ontario,,Canada,,2019-12-13T15:14:06.378Z,2021-04-07T14:02:46.098Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/bitahoushmand/,"Anomaly detection, Bioinformatics, Computer vision, Data science, Deep learning, Healthcare and/or medical imaging, Machine learning, Natural language processing, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Data Science & Analytics,"Financial Services, Health, Public Administration (i.e Gov't), Retail, Technology (Information and Media)","Full Time, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Ryerson University,True,True,True,True -3aba5016-c7a7-413c-ac89-4f05819199ff,maxshowarth@gmail.com,Max,Howarth,https://talenthub.vectorinstitute.ai/profiles/1563236/view_image/0.jpeg,Experienced AI Leader,"Max is a managing consultant in IBM Canada’s Advanced Analytics practice where he focuses on the application of AI technologies in the natural resources industry. A geological engineer by training - he brings a unique set of skills to IBM’s data science teams and their projects. -Max acts as the product owner for several key mineral exploration systems including Watson for Geology while also conducting technological research for his clients with a special interest in image recognition and GIS systems. ",4163479320,,,,https://www.linkedin.com/in/maxhowarth/,,True,False,,Toronto,Ontario,,Canada,linkedin,2019-12-13T18:20:01.438Z,2019-12-13T18:20:01.719Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Queen's University,,,Mr.,https://www.linkedin.com/in/maxhowarth/,,,,MMAI 2020,"Health, Retail, Telecommunications","Full Time, Contract, Capstone Project",,Queen's University,True,False,True,True -234c3c93-af18-4049-8676-0d39f54489b5,bansarihirpara@yahoo.com,Bansari,Hirpara,https://talenthub.vectorinstitute.ai/profiles/1562572/view_image/0.jpeg,,,,,,,,,True,False,,Thunder Bay,Ontario,,Canada,linkedin,2019-12-13T02:53:20.910Z,2019-12-13T02:53:21.092Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Ms.,https://www.linkedin.com/in/bansarihirpara/,,,,Msc. Computer Science,"Financial Services, Telecommunications",Full Time,,Lakehead University,True,True,True,True -c73d270b-c265-4100-b540-4b28e025a710,twadiwal@lakeheadu.ca,Tejas,Wadiwala,https://talenthub.vectorinstitute.ai/profiles/1561090/view_image/PA294379.jpeg,Application Programmer Analyst (Co-op) at Ontario Ministry of Education | Grad Student at Lakehead University,,8073577932,,,,https://www.linkedin.com/in/tejaswadiwala/,tejaswadiwala,True,False,https://canadaai.jobboard.io/api/v1/profiles/c73d270b-c265-4100-b540-4b28e025a710/resume,Thunder Bay,Ontario,,Canada,,2019-12-11T18:35:29.830Z,2019-12-15T21:20:37.748Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/tejaswadiwala/,,,,Computer Science,"Financial Services, Retail, Telecommunications",Full Time,,Lakehead University,True,False,True,True -07959662-d84f-4660-8a11-da0c065c890d,bhpatel31297@gmail.com,BHARGAV,PATEL,https://talenthub.vectorinstitute.ai/profiles/1554104/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-05T19:14:29.792Z,2019-12-05T19:14:30.025Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/bhargav-p-patel/,,,,Master's of Science in Computer Science,Telecommunications,"Internship, Co-op",,Lakehead University,True,True,True,True -a2df221e-46ec-41a8-96a1-739fdc243771,dhivya.c90@gmail.com,Dhivya,Chandrasekaran,https://talenthub.vectorinstitute.ai/profiles/1553795/view_image/0.jpeg,Student - Research Assistant ,,8073721317,,,,,,True,False,,Thunder Bay,Ontario,,Canada,linkedin,2019-12-05T15:11:05.587Z,2019-12-05T15:11:05.844Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mrs.,https://www.linkedin.com/in/dhivya-chandrasekaran-2ab9a7159/,,,,Masters in Computer Science,"Financial Services, Telecommunications",Internship,,Lakehead University,True,True,True,True -5d2724a9-3dae-412d-9441-0aaea3529422,prerak22patel@gmail.com,Prerak Jayeshkumar,Patel,https://talenthub.vectorinstitute.ai/profiles/1553752/view_image/F9563D05-E054-4D1C-AD33-1CC8FAE2C76D.jpeg,,,,,,,,,True,False,,Thunder Bay,Ontario,,Canada,,2019-12-05T14:38:34.928Z,2019-12-05T14:38:34.966Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,Not Found,,,,Master’s in Computer Science,"Financial Services, Telecommunications","Full Time, Internship, Co-op, Capstone Project",,Lakehead University,True,True,True,True -08cc7f74-7d4f-4e73-9840-0f1a4852e013,rob.woon-fat@rotman.utoronto.ca,Robert,Woon-Fat,https://talenthub.vectorinstitute.ai/profiles/1552260/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-04T15:06:20.003Z,2019-12-04T15:06:20.981Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/robwoon-fat/,,,,,,,,,True,True,True,True -ff35b353-fb62-49de-a684-4a94e661abd7,tommyxie2000@hotmail.com,Tommy,Xie,https://talenthub.vectorinstitute.ai/profiles/1571787/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-21T18:25:21.275Z,2019-12-21T18:25:21.505Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/tommy-xie-211a92ab/,,,,,,,,,True,False,True,True -2d444e12-50a9-4e13-8b81-382ddcaf2c7c,stephanie.park@edu.uwaterloo.ca,Stephanie,Park,https://talenthub.vectorinstitute.ai/profiles/1563321/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-13T20:03:35.678Z,2019-12-13T20:03:35.951Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/stephanie-park/,,,,,,,,University of Waterloo,True,True,True,True -4fe7f68d-4240-4f8d-ab48-73260eeb89c8,deepali.jadhav@gmail.com,Deepali,Jadhav,https://talenthub.vectorinstitute.ai/profiles/2504486/view_image/1556482296312.jpg,Accomplished technology leader,"Accomplished 20+ years experienced technology leader with experience in building high-performing teams. My core experience is delivering end-to-end complex transformational digital initiatives from strategy to execution. I am a committed and competent professional with expertise in understanding business needs, complex technical systems, and designing and developing applications to solve long-term and short-term business objectives. I am a strong advocate of diversity in technical fields and believe in creating a fair and respectful place for everyone.",4168901043,,,,https://www.linkedin.com/in/deepalijadhav,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4fe7f68d-4240-4f8d-ab48-73260eeb89c8/resume,Toronto,Ontario,,Canada,,2021-09-10T17:42:53.661Z,2021-10-25T00:42:09.211Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/deepalijadhav,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Management in AI,,"Full Time, Contract, Capstone Project","Data Architect, Product/Project Manager, Other ",Queen's University,True,True,True,True -8d4d3f18-1881-4692-9a56-d51982298678,temitayo.hayes@ontariotechu.net,Temitayo,Hayes,https://talenthub.vectorinstitute.ai/profiles/2624553/view_image/prof__2_.jpg,Security Analyst,"An oriented technology & security enthusiast with a passion for employing software integration into business to provide solutions that boosts productivity. Currently, CompTIA Security+ certified and also a graduate student of IT Security specializing in Artificial Intelligence",,,https://github.com/wenadev,,https://www.linkedin.com/in/temitayo-hayes-86426a17a/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8d4d3f18-1881-4692-9a56-d51982298678/resume,Oshawa,Ontario,,Canada,,2021-12-22T19:56:11.929Z,2022-01-08T05:05:59.751Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Miss.,https://www.linkedin.com/in/temitayo-hayes-86426a17a,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Masters of IT Security (Artificial Intelligence in Security),"Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Internship, Co-op",Other ,OntarioTech University,True,False,True,True -378e1085-138b-47f2-8574-e011de3d5f67,ciitmujtaba@gmail.com,Ghulam,Mujtaba,https://talenthub.vectorinstitute.ai/profiles/2504449/view_image/profile_pic_mujtaba-removebg-preview.png,,"7+ years of industrial and academic experience, actively engaged with the academic community, mentored 15+ undergraduate students, one Korean patent, and 10+ refereed publications (3 articles in SCIE journals).",,,https://www.gmujtaba.com/,,https://www.linkedin.com/in/iamgmujtaba,iamgmujtaba,True,False,https://canadaai.jobboard.io/api/v1/profiles/378e1085-138b-47f2-8574-e011de3d5f67/resume,,,,,,2021-09-10T17:42:44.662Z,2022-02-05T14:17:46.096Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,,Dr.,https://www.linkedin.com/in/iamgmujtaba,"Computer vision, Deep learning, Recommender systems",Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Engineering,"Education, Software, Technology (Information and Media)",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,False,True,True -df764e14-928d-45fd-9053-5828477e760c,asleshapokhrel21@gmail.com,Aslesha,Pokhrel,https://talenthub.vectorinstitute.ai/profiles/1856174/view_image/Profile.jpg,"MSc in Applied Computing at UofT, Vector Scholar in AI",,(647) 871-4521,,,,https://www.linkedin.com/in/aslesha-pokhrel/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/df764e14-928d-45fd-9053-5828477e760c/resume,Toronto,Ontario,,Canada,linkedin,2020-07-03T15:16:03.452Z,2021-09-22T22:14:18.585Z,False,False,Connected to Vector Research,Yes,Vector Scholarship Recipient,Anna Goldenberg,Winter 2023 (December 2022 - March 2023),,Miss.,https://www.linkedin.com/in/aslesha-pokhrel/,"Bayesian methods, Computational biology, Computer vision, Data science, Deep learning, Graphical models, Healthcare and/or medical imaging, Machine learning, Natural language processing, Self-supervised learning, Time-series forecasting and modelling, Unsupervised learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Financial Services, Health, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation",Full Time,"Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True -667b40aa-fff1-41b5-a53f-2d452bc35373,sean.gao1@outlook.com,Shuang,Gao,https://talenthub.vectorinstitute.ai/profiles/2382426/view_image/Shuang_Gao_portrait.jpg,Data Analytics student at Western University,,4034002951,,,,https://www.linkedin.com/in/shuanggao5678/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/667b40aa-fff1-41b5-a53f-2d452bc35373/resume,,,,,,2021-06-02T13:19:18.902Z,2021-06-03T15:47:52.959Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/shuanggao5678,"Data science, Deep learning, Game theory, Gaussian processes, Machine learning, Meta-learning, Quantum computing, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Analytics,"Financial Services, Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Transportation","Full Time, Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",Western University,True,True,True,True -9eb40288-32b1-4358-be1b-4e97555de5ab,philippe.nadeau@robotics.utias.utoronto.ca,Philippe,Nadeau,https://talenthub.vectorinstitute.ai/profiles/1805126/view_image/ProfilePic.png,,,,,,,https://www.linkedin.com/in/nadeauphilippe/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9eb40288-32b1-4358-be1b-4e97555de5ab/resume,Toronto,Ontario,,Canada,,2020-05-27T15:11:23.294Z,2020-06-25T13:33:05.774Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,Jonathan Kelly,Already Graduated,,Mr.,Not Found,,Graduate Degree (Masters),Mid-Level (3-5 Years),MASc Aerospace Science and Engineering,Type of Work is More Important to me than Sector,Internship,,University of Toronto,True,True,True,True -04a5923a-0dda-4807-90e7-eaaed1e4116d,sierra@wyllie.net,Sierra,Wyllie,https://talenthub.vectorinstitute.ai/profiles/2699171/view_image/sierra_copy.jpg,Engineering Science Student,I am a second year engineering science student at the University of Toronto. I am currently a member of the CleverHans Lab under Nicolas Papernot at University of Toronto and the Vector Institute. My research interests include fairness and security for trustworthy ML.,6476132126,,https://www.syntelliga.net/,,https://www.linkedin.com/in/sierra-wyllie-99a109195/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/04a5923a-0dda-4807-90e7-eaaed1e4116d/resume,Toronto,Ontario,,Canada,,2022-02-20T21:00:44.497Z,2022-02-22T22:19:22.627Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Nicolas Papernot,Spring/Summer 2024 (April - July),,Miss.,https://www.linkedin.com/in/sierra-wyllie-99a109195/,"Data science, Fairness, Machine learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Engineering Science -- Machine Intelligence,"Manufacturing , Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Internship, Co-op","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True -d20c1649-905a-4322-82c2-d84422c178bf,vafaie.parsa@gmail.com,Parsa,Vafaie,https://talenthub.vectorinstitute.ai/profiles/1598992/view_image/IMG_0213.jpeg,Data scientist,"Highly motivated data scientist with a master's degree in computer science from the University of Ottawa, achieving multiple publications and nominations for thesis awards. Fully knowledgeable and Excellent background in machine learning, deep learning and reinforcement learning. I am currently working as a data scientist for the Ottawa Hospital Research Institute.",8732883116,,,,https://www.linkedin.com/in/parsa-vafaie/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d20c1649-905a-4322-82c2-d84422c178bf/resume,Ottawa,Ontario,,Canada,,2020-01-13T17:24:50.001Z,2021-09-25T15:37:19.688Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/parsa-vafaie/,,Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science - concentration in applied Artificial Intelligence,"Education, Financial Services, Health","Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Ottawa,True,True,True,True -6862f64b-3733-4300-b92a-8df27eff3f21,ianberlot@cs.toronto.edu,Ian,Berlot-Attwell,https://talenthub.vectorinstitute.ai/profiles/2684700/view_image/0_square_image2.JPG,,"I am a PhD student and course instructor at the University of Toronto, researching explicit and compositional reuse of knowledge and skills at the intersection of language and vision. My research interests include VQA, compositional generalization, self-supervised learning, and meta-learning. -",289-400-3197,,https://www.cs.toronto.edu/~ianberlot/,,,,True,False,,,,,,,2022-02-09T17:47:03.390Z,2022-02-14T01:25:59.856Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Professor Frank Rudzicz,Spring/Summer 2024 (April - July),,Mr.,N/A,"Computer vision, Machine learning, Natural language processing",Postgraduate Degree (PhD),Mid-Level (3-5 Years),PhD in Computer Science,Type of Work is More Important to me than Sector,Internship,"Machine Learning Researcher/Scientist , Other ",University of Toronto,True,False,True,True -2bdbfdee-2bfc-438c-9ea6-53fd4b4c203d,duongnavy@gmail.com,Harry,Nguyen,https://talenthub.vectorinstitute.ai/profiles/2251204/view_image/1583896061330.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-03-01T17:48:44.889Z,2021-03-01T17:48:45.202Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/harry-nguyen-19236079/,,,,,,,,,True,False,True,True -98f2dbf9-cac7-4d8c-ac31-1099e5125b54,380937887@qq.com,Yaoxin,Li,https://talenthub.vectorinstitute.ai/profiles/2247634/view_image/1535018963997.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-02-26T16:51:40.915Z,2021-02-26T16:51:41.172Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/yaoxin-li-70bb77120/,,,,,,,,,True,True,True,True -6059c900-30c9-47ea-a263-e0ee06cfc15b,yuyi1981205@yahoo.com,Yi,Yu,https://talenthub.vectorinstitute.ai/profiles/2230943/view_image/1517760293976.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-02-15T04:07:27.736Z,2021-02-15T04:07:27.964Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/yi-yu-1622699/,,,,,,,,,True,True,True,True -b319b38c-6570-41d7-840d-4ab136f23a1d,m.seifikar93@gmail.com,Mahsa,Seifikar,https://talenthub.vectorinstitute.ai/profiles/2280574/view_image/1602451247856.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-03-21T15:37:57.534Z,2021-03-21T15:37:57.697Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/mahsa-seifikar/,,,,,,,,,True,True,True,True +34394d89-6ef1-461a-9f6a-b5da68b080b6,m.reza.rezaei72@gmail.com,mohammad R.,Rezaei,https://talenthub.vectorinstitute.ai/profiles/2444700/view_image/1521955916641.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-07-23T02:33:47.348Z,2021-07-23T02:33:47.531Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/mohammad-r-rezaei-627b66150/,,,,,,,,,True,True,True,True +b8998326-606f-42a2-9234-10457a6a40f5,m.r.nilchiyan@fkegraduate.utm.my,MohammadReza,Nilchiyan,https://talenthub.vectorinstitute.ai/profiles/2340955/view_image/1616956327863.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-05-01T18:31:17.981Z,2021-05-01T18:31:18.225Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/mohammadreza-n-239a30a6/,,,,,,,,,True,True,True,True c1da37f8-7b37-4095-b791-744625b17217,rahaviselvarajan3098@gmail.com,Rahavi,Selvarajan,https://talenthub.vectorinstitute.ai/profiles/2538538/view_image/1609135619186.jpeg,Graduate Student,"Passionate and organized learner pursuing Master's in Electrical and Computer Engineering at University of Toronto. Highly engrossed in fields like Signal / Image Processing and Deep learning. Mastered the skills like analytical thinking, and problem solving by doing research internships at IIT Palakkad and Indigenous 5G testbed, IIT Madras. My bachelor dissertation strengthened my knowledge on Medical Image processing and Deep learning and also enhanced my skills on team management and scientific writing. Acquired leadership quality by co-ordinating various technical events held at college symposiums. Skills: C, Python, MATLAB, Pytorch, CNN",4379836536,,,,https://www.linkedin.com/in/rahavi-selv/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c1da37f8-7b37-4095-b791-744625b17217/resume,Toronto,Ontario,,Canada,linkedin,2021-10-07T15:45:48.523Z,2021-10-07T15:45:48.777Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Miss.,https://www.linkedin.com/in/rahavi-selv/,"Bayesian methods, Computational biology, Computer vision, Data science, Deep learning, Gaussian processes, Healthcare and/or medical imaging, Machine learning, Optimization, Self-supervised learning, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Engineering in Electrical and Computer Engineering,"Health, Software","Internship, Co-op, Contract","Data Analyst, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True 646d4957-5792-422e-9840-3b28998c56e9,aaronhao.tan@utoronto.ca,Aaron,Tan,https://talenthub.vectorinstitute.ai/profiles/2577198/view_image/FullSizeRender.jpg,PhD Candidate,,9054106802,,,,https://www.linkedin.com/in/aaron-hao-tan/,aaronhaotan,True,False,https://canadaai.jobboard.io/api/v1/profiles/646d4957-5792-422e-9840-3b28998c56e9/resume,,,,,,2021-11-09T21:33:13.024Z,2021-11-10T13:48:29.333Z,False,False,Connected to Vector Research,Yes,Other/Unsure,Elias Khalil,Spring/Summer 2024 (April - July),PhD committee member is affiliated,Mr.,https://www.linkedin.com/in/aaron-hao-tan/,"Deep learning, Reinforcement learning, Robotics",Postgraduate Degree (PhD),Entry Level (0-2 Years),Mechanical Engineering (Robotics),"Health, Software, Technology (Product Development)","Internship, Co-op","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True -6ef92001-1f66-45e2-993f-7eb3ad223351,sheenthusoo@gmail.com,Sheen,Thusoo,https://talenthub.vectorinstitute.ai/profiles/2344266/view_image/sheen_picture.jpeg,,,,,https://sheen-thusoo.web.app/,,https://www.linkedin.com/in/sheenthusoo/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6ef92001-1f66-45e2-993f-7eb3ad223351/resume,,,,,,2021-05-04T15:07:01.695Z,2021-05-04T18:05:34.178Z,False,False,Connected to Vector Research,Yes,Vector Faculty or Faculty Affiliate,,Already Graduated,,Miss.,https://www.linkedin.com/in/sheenthusoo/,"Deep learning, Machine learning, Natural language processing, Privacy, anonymity, and/or security, Recommender systems, Wearable technology and/or Internet of Things",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),"Biomedical Engineering, Specialization in AI","Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Engineer, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Waterloo,True,False,True,True a4bd06f0-8e0e-4c33-ad0e-0de3e78ecd2c,ayathamasaleh@gmail.com,Ayat,Saleh,https://talenthub.vectorinstitute.ai/profiles/1873817/view_image/0.jpeg,Building Intelligence Engineer,,,,,,https://www.linkedin.com/in/ayat-hama-saleh/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a4bd06f0-8e0e-4c33-ad0e-0de3e78ecd2c/resume,Toronto,Ontario,,Canada,linkedin,2020-07-15T18:37:26.842Z,2021-10-12T14:05:42.088Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Ms.,https://www.linkedin.com/in/ayat-hama-saleh/,"Machine learning, Time-series forecasting and modelling, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Electrical and Computer Engineering,"Professional Services (e.g Consulting), Technology (Information and Media), Telecommunications",Full Time,"Business Analyst/Business Intelligence Analyst , Data Engineer, Machine Learning Engineer",Ryerson University,True,False,True,True d50606f0-defa-4b3f-bfca-42421d97e543,amirreza.one@gmail.com,Amir,Hassani,https://talenthub.vectorinstitute.ai/profiles/1980573/view_image/0.jpeg,,,,,,,https://www.linkedin.com/in/amirreza1/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d50606f0-defa-4b3f-bfca-42421d97e543/resume,Toronto,Ontario,,Canada,linkedin,2020-09-17T22:55:30.327Z,2020-09-17T22:55:30.528Z,False,False,Recognized Masters Program,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/amirreza1/,,Graduate Degree (Masters),Senior Level (5+ Years),MMAI,"Financial Services, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development)",Full Time,,York University,True,False,True,True -c1dfd1a0-723b-48ae-b987-10c64ae8849a,mahsakhosravi73@gmail.com,Mahsa,Khosravi,https://talenthub.vectorinstitute.ai/profiles/2203895/view_image/1591282114284.jpeg,Software Developer (Analytics and Machine Learning),,12269983264,,,,,,True,False,,Ottawa,Ontario,,Canada,linkedin,2021-01-25T01:25:00.040Z,2021-01-25T01:25:00.362Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Ms.,https://www.linkedin.com/in/mahsa-khosravi/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Electrical and Computer Engineering,"Health, Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,,Western University,True,False,True,True -1df4ee6a-6bee-4c1d-9337-8c42ba45fa56,biddut.bhowmic@gmail.com,Biddut,Bhowmic,https://talenthub.vectorinstitute.ai/profiles/2206823/view_image/1599158954371.jpeg,,,6479498717,,https://github.com/biddut,,https://www.linkedin.com/in/biddut-bhowmic/,BBhowmic,True,False,https://canadaai.jobboard.io/api/v1/profiles/1df4ee6a-6bee-4c1d-9337-8c42ba45fa56/resume,,,,,linkedin,2021-01-27T04:35:02.918Z,2021-03-11T10:50:45.432Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/biddut-bhowmic/,"Deep learning, Machine learning, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),Data Science and Analytics,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project",,Ryerson University,True,True,True,True f2c180f1-0887-40b8-b99f-7f8e0dc9a516,ashoktak95@gmail.com,Ashok,Tak,https://talenthub.vectorinstitute.ai/profiles/2192905/view_image/1587410116795.jpeg,"MASc in Electrical and Computer Engineering, ML Engineer",,6479132127,,http://ashoktak.github.io,,https://www.linkedin.com/in/ashoktak/,AshokTak10,True,False,,Toronto,Ontario,,Canada,linkedin,2021-01-16T01:41:22.903Z,2021-01-16T01:41:23.112Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/ashoktak/,,Graduate Degree (Masters),Entry Level (0-2 Years),MASc in Electrical and Computer Engineering,"Education, Professional Services (e.g Consulting), Software, Technology (Product Development), Telecommunications","Full Time, Internship",,University of Toronto,True,True,True,True -c0ab5cfe-ce3c-4c16-bc11-9a5b68cfef0e,shayan@cs.toronto.edu,Shayan,Shekarforoush,https://talenthub.vectorinstitute.ai/profiles/2546889/view_image/Final.png,,,,,http://shekshaa.github.io,,https://www.linkedin.com/in/shayan-shekarforoush-597508136/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c0ab5cfe-ce3c-4c16-bc11-9a5b68cfef0e/resume,,,,,,2021-10-14T17:11:05.879Z,2022-03-12T04:56:43.614Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Ontario,Other/Undetermined,,Mr.,https://ir.linkedin.com/in/shayan-shekarforoush-597508136,"Computer vision, Deep learning, Machine learning, Representation learning",Postgraduate Degree (PhD),Entry Level (0-2 Years),Computer Science,Type of Work is More Important to me than Sector,"Internship, Co-op","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True 425a9b59-ea3f-4f63-bb01-37c8939b1ab1,gmolfinoa@hotmail.com,Gianfranco,Molfino Alvarado ,https://talenthub.vectorinstitute.ai/profiles/2193398/view_image/1596942000311.jpeg,"MBA Candidate, BBA, PGP, PSM®, LEED®GA™ ",,6478854205,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/425a9b59-ea3f-4f63-bb01-37c8939b1ab1/resume,Toronto,Ontario,,Canada,linkedin,2021-01-16T15:07:37.123Z,2021-01-16T15:07:37.306Z,False,False,Not Affiliated with Vector,No,Other/Unsure,CA-ON,Already Graduated,,Mr.,N/A,"Healthcare and/or medical imaging, Robotics, Wearable technology and/or Internet of Things",Undergraduate Degree (Bachelors),Senior Level (5+ Years),Business Administration,,Full Time,,Other,True,True,True,True +c1dfd1a0-723b-48ae-b987-10c64ae8849a,mahsakhosravi73@gmail.com,Mahsa,Khosravi,https://talenthub.vectorinstitute.ai/profiles/2203895/view_image/1591282114284.jpeg,Software Developer (Analytics and Machine Learning),,12269983264,,,,,,True,False,,Ottawa,Ontario,,Canada,linkedin,2021-01-25T01:25:00.040Z,2021-01-25T01:25:00.362Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Ms.,https://www.linkedin.com/in/mahsa-khosravi/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Electrical and Computer Engineering,"Health, Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,,Western University,True,False,True,True +1df4ee6a-6bee-4c1d-9337-8c42ba45fa56,biddut.bhowmic@gmail.com,Biddut,Bhowmic,https://talenthub.vectorinstitute.ai/profiles/2206823/view_image/1599158954371.jpeg,,,6479498717,,https://github.com/biddut,,https://www.linkedin.com/in/biddut-bhowmic/,BBhowmic,True,False,https://canadaai.jobboard.io/api/v1/profiles/1df4ee6a-6bee-4c1d-9337-8c42ba45fa56/resume,,,,,linkedin,2021-01-27T04:35:02.918Z,2021-03-11T10:50:45.432Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/biddut-bhowmic/,"Deep learning, Machine learning, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),Data Science and Analytics,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project",,Ryerson University,True,True,True,True 358f53fa-323f-4400-ad0f-763829bd40f6,nimash@live.com,Nima Sheikholeslami,sheikholeslami,https://talenthub.vectorinstitute.ai/profiles/2183835/view_image/1600574740182.jpeg,,,,,,,https://www.linkedin.com/in/nimasheikholeslami,,True,False,https://canadaai.jobboard.io/api/v1/profiles/358f53fa-323f-4400-ad0f-763829bd40f6/resume,,,,,linkedin,2021-01-09T12:51:12.488Z,2021-01-09T12:51:12.697Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Winter 2021,,Mr.,https://www.linkedin.com/in/nimasheikholeslami/,"Adversarial learning, Bayesian methods, Data science, Deep learning, Gaussian processes, Graphical models, Machine learning, Self-supervised learning, Statistical learning theory, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Electrical Engineering,"Software, Telecommunications","Full Time, Internship",,University of Toronto,True,False,True,True +c0ab5cfe-ce3c-4c16-bc11-9a5b68cfef0e,shayan@cs.toronto.edu,Shayan,Shekarforoush,https://talenthub.vectorinstitute.ai/profiles/2546889/view_image/Final.png,,,,,http://shekshaa.github.io,,https://www.linkedin.com/in/shayan-shekarforoush-597508136/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c0ab5cfe-ce3c-4c16-bc11-9a5b68cfef0e/resume,,,,,,2021-10-14T17:11:05.879Z,2022-03-12T04:56:43.614Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Ontario,Other/Undetermined,,Mr.,https://ir.linkedin.com/in/shayan-shekarforoush-597508136,"Computer vision, Deep learning, Machine learning, Representation learning",Postgraduate Degree (PhD),Entry Level (0-2 Years),Computer Science,Type of Work is More Important to me than Sector,"Internship, Co-op","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +6ef92001-1f66-45e2-993f-7eb3ad223351,sheenthusoo@gmail.com,Sheen,Thusoo,https://talenthub.vectorinstitute.ai/profiles/2344266/view_image/sheen_picture.jpeg,,,,,https://sheen-thusoo.web.app/,,https://www.linkedin.com/in/sheenthusoo/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6ef92001-1f66-45e2-993f-7eb3ad223351/resume,,,,,,2021-05-04T15:07:01.695Z,2021-05-04T18:05:34.178Z,False,False,Connected to Vector Research,Yes,Vector Faculty or Faculty Affiliate,,Already Graduated,,Miss.,https://www.linkedin.com/in/sheenthusoo/,"Deep learning, Machine learning, Natural language processing, Privacy, anonymity, and/or security, Recommender systems, Wearable technology and/or Internet of Things",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),"Biomedical Engineering, Specialization in AI","Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Engineer, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Waterloo,True,False,True,True e789453e-b252-433f-87a7-83f4b0cb4223,dcepeda@uwaterloo.ca,Diego,Cepeda,https://talenthub.vectorinstitute.ai/profiles/2181705/view_image/1601422298658.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-01-07T19:39:57.141Z,2021-01-07T19:39:57.316Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/diego-cepeda-dc/,,,,,,,,,True,False,True,True -4eaaaadd-06d1-4a19-a95e-085e623e13f0,marilise.m.kassouf@gmail.com,Marilise,"Kassouf, PMP",https://talenthub.vectorinstitute.ai/profiles/1955496/view_image/0.jpeg,Healthcare Solutions | Beneficial AI | Strategy and Operations,"Deep background in medical devices and hospital systems, product lifecycle management, process improvement, clinical and technical operations, procurement strategy, and public-private partnerships. With a broad experience engineering solutions and managing complex programs from inception to execution in academic, public, and private sectors, my initiatives are all driven by a passion for health innovation and equity, quality, and knowledge transfer. -Intrigued by the application of Data Science to healthcare problems, I deeply care about the ethical, safe, and effective use of AI, and the impact that AI-enabled technologies can have on sustainable development and increasing global access to essential services. -I am innovative and meticulous in transferring knowledge from research to practice, communicating complex information to technical and non-technical audiences in different cultural settings, and developing new technologies, capacities and strong partnerships to support organizational maturity and business growth. -Having lived and worked in Europe, the Middle East and Canada, and collaborated with partners in France, Austria, USA, Brazil, Japan, and the Arab Gulf countries, I am a globally minded professional who enjoys discussing new ideas and solving problems with curious and talented people. Let’s connect! -Specialties: product and program management, healthcare operations design, business growth, strategy, training and development, medical devices, SDLC, intelligent automation, cloud architecture, data governance and management, and user experience.",6476461221,,,,https://www.linkedin.com/in/marilisekassouf/,,True,False,,Toronto,Ontario,,Canada,linkedin,2020-08-27T23:39:29.329Z,2020-12-10T12:21:19.786Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/marilisekassouf/,,Graduate Degree (Masters),Senior Level (5+ Years),"Biomedical Engineering, Health Informatics","Education, Health, Professional Services (e.g Consulting), Software, Technology (Product Development)",Full Time,,University of Toronto,True,True,True,True -f814a224-1b08-478f-a8a9-f33b6c65c0ca,capachecope@gmail.com,Carolina,"Pacheco Pereyra, MBA, MMAI",https://talenthub.vectorinstitute.ai/profiles/1550703/view_image/0.jpeg,Digital Transformation and AI Adoption Lead,"AI and ML enthusiast with a Master of Management in Artificial Intelligence. Digital transformation and technology lead with 15+ years of combined international experience. A demonstrated history of leading large-scale digital transformation in a global ecosystem delivering best-in-class digital consumer experiences. Experience translating business strategy, analysis and data into consumer facing digital services and products. Trusted advisor and consultant, I architect, define, and implement digital strategies to support business goals. Highly developed communication and interpersonal skills with a particular interest in managing people, projects and diverse cultural business practices. With a bias for action and delivery, I thrive in a fast-paced, make-it-work environment. Love to design, build and execute. I’m also fanatical about personal growth and development. A passionate advocate for women's professional advancement who can often be found speaking at networking engagements and mentoring young professionals both individually and in group settings.",416 -570-0626,,,,https://www.linkedin.com/in/capachecope/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f814a224-1b08-478f-a8a9-f33b6c65c0ca/resume,Toronto,Ontario,,Canada,linkedin,2019-12-03T16:36:32.182Z,2020-09-29T14:43:41.497Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/capachecope/,,Graduate Degree (Masters),Senior Level (5+ Years),MMAI,"Financial Services, Retail, Telecommunications","Full Time, Contract",,Queen's University,True,True,True,True -826407cb-67f1-4059-8221-f2705fe27edb,yi.liu@queensu.ca,Eve,Liu,https://talenthub.vectorinstitute.ai/profiles/1932222/view_image/Image.3.jpg,AI Capstone Project at RBC Capital Markets,"I'm a member of MMAI '21 class at Smith School of Business at Queen's University. I'm a director at Lawli to use AI to reduce turnaround time and costs in legal services. Prior to Lawli, I co-founded award-winning video game software development and publishing company Mad Fellows which is distributing digital games globally. Mad Fellows developed proprietary development automation which substantially reduced labor requirements by 500%. Game Aaero was Best Xbox One Game of 2017 ranked #18 in July by Metacritic, won TrueAchievements Game of the Year 2017, received 9.5/10 from Forbes and was shown on Sky News channel at prime time. Mad Fellows was Top 50 Most Creative Companies in England by The Telegraph, and is generating sustainable revenues and growth. -Previously, I worked at Blackstone (Blackstone Alternative Asset Management), Deutsche Bank (Hedge Fund Capital Group), Pantheon Ventures (PE $50bn, Investment Analytics) and Grisons Peak (FIG M&A Advisory) in London, England. I graduated Cum Laude from Hamilton College (Clinton, NY) with Honors in Economics and Minor in Mathematics. I have also attended University of Oxford, St. Catherine’s College and read Politics, Philosophy and Economics (PPE) subjects.",4379861656,,,,https://www.linkedin.com/in/eveliu/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/826407cb-67f1-4059-8221-f2705fe27edb/resume,Toronto,Ontario,,Canada,,2020-08-13T19:41:03.956Z,2021-05-12T00:32:54.834Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/eveliu/,"Deep learning, Natural language processing, Reinforcement learning",Graduate Degree (Masters),Senior Level (5+ Years),MMAI,Financial Services,Full Time,"Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True -1abe1ebb-8a87-4795-a281-61817f08c587,carson.mclean@mail.utoronto.ca,Carson,McLean,https://talenthub.vectorinstitute.ai/profiles/1944063/view_image/PXL_20201026_172944761.PORTRAIT-01.COVER.jpg,Applied Research Scientist Intern at Georgian,,(780) 680-1867,,https://github.com/carsonmclean/,,https://www.linkedin.com/in/carsonmclean/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/1abe1ebb-8a87-4795-a281-61817f08c587/resume,Toronto,Ontario,,Canada,,2020-08-20T16:44:24.300Z,2021-01-31T23:12:42.983Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Dr. Anna Goldenberg,Already Graduated,,Mr.,https://www.linkedin.com/in/carsonmclean/,"Anomaly detection, Computer vision, Data science, Deep learning, Healthcare and/or medical imaging, Machine learning, Online learning, Reinforcement learning, Time-series forecasting and modelling, Transfer learning",Graduate Degree (Masters),Entry Level (0-2 Years),MSc in Computer Science (ML in Healthcare),"Construction or Infrastructure, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Contract",,University of Toronto,True,True,True,True -3c3ab423-09a6-4320-9b5c-b11c0b5b616d,michael.dewit@mail.utoronto.ca,Michael,De Wit,https://talenthub.vectorinstitute.ai/profiles/1563109/view_image/0.jpeg,Registered Nurse studying Health Informatics,"I am a graduate student at the University of Toronto pursuing my Master’s in Health Informatics and a Registered Nurse with frontline emergency medicine experience. -My interests lie in the judicious use of health information technology to improve the integration and quality of patient care, the effectiveness of clinicians, and the sustainability of our healthcare system. ",,,,,https://www.linkedin.com/in/michael-dewit/,,True,False,,Toronto,Ontario,,Canada,linkedin,2019-12-13T15:55:33.145Z,2019-12-13T15:55:33.350Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,,,Mr.,https://www.linkedin.com/in/michael-dewit/,,,,Master of Health Informatics,Health,Internship,,University of Toronto,True,False,True,True -8d8e917d-a30a-4106-8e5c-a311035ae597,m7karimi@uwaterloo.ca,Mehdi,Karimi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Postdoctoral Fellow,,,,http://www.math.uwaterloo.ca/~m7karimi/DDS.html,,https://www.linkedin.com/in/mehdi-karimi-91324b115,,True,True,https://canadaai.jobboard.io/api/v1/profiles/8d8e917d-a30a-4106-8e5c-a311035ae597/resume,,,,,linkedin,2019-12-13T17:39:40.802Z,2019-12-13T17:39:41.513Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Dr.,https://www.linkedin.com/in/mehdi-karimi-91324b115,,,,Combinatorics and Optimization,Telecommunications,Full Time,,University of Waterloo,True,True,True,True -a156b981-16f6-4b47-9aff-d0f31e7f74dd,vaibhavbatra.1506@gmail.com,Vaibhav,Batra,https://talenthub.vectorinstitute.ai/profiles/1932125/view_image/Vaibhav_Batra.JPG,"Data Science Enthusiast, Ex- Software Developer","Vaibhav is a data enthusiast who enjoys harnessing data to bring insights into the light, helping organizations make critical decisions. He is currently pursuing Master of Management Analytics at Rotman. ",,,,,https://www.linkedin.com/in/vaibhavbatra/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a156b981-16f6-4b47-9aff-d0f31e7f74dd/resume,Toronto,Ontario,,Canada,,2020-08-13T19:39:57.209Z,2020-09-18T05:25:09.738Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/vaibhavbatra/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management Analytics,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,,University of Toronto,True,False,True,True -9846fdb6-5b76-4e66-aa91-9f95893d7868,19hz81@queensu.ca,Gary,Zhang,https://talenthub.vectorinstitute.ai/profiles/1932234/view_image/pic.jpg,EIT,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9846fdb6-5b76-4e66-aa91-9f95893d7868/resume,,Ontario,,Canada,,2020-08-13T19:41:12.917Z,2020-09-22T13:49:34.267Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,N/A,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management of AI,"Construction or Infrastructure, Education, Financial Services, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract, Capstone Project",,Queen's University,True,True,True,True -24bedce7-b7ae-4f9d-8ca6-c7d7b75f9593,mudassir.mohammed1@ontariotechu.net,Mudassir,Mohammed,https://talenthub.vectorinstitute.ai/profiles/1932129/view_image/Visa_Photograph.JPG,Software Developer,,2896859168,,,,https://www.linkedin.com/in/mudassir-mohammed-64315883,,True,False,https://canadaai.jobboard.io/api/v1/profiles/24bedce7-b7ae-4f9d-8ca6-c7d7b75f9593/resume,Oshawa,Ontario,,Canada,,2020-08-13T19:40:01.189Z,2021-01-15T19:27:19.648Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/mudassir-mohammed-64315883,,Graduate Degree (Masters),Mid-Level (3-5 Years),Information Technology Security in Artificial Intelligence,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Contract",,OntarioTech University,True,True,True,True -1950f597-ec94-4fe1-97d2-a4f72c1aff4a,irene.chen@edu.uwaterloo.ca,Irene XiangYi,Chen,https://talenthub.vectorinstitute.ai/profiles/1932760/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-08-14T05:45:08.304Z,2020-08-14T05:45:08.563Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/irenexychen/,,,,,,,,,True,True,True,True -d885a537-5454-435a-af58-c1d22327d48a,jng.bus.in.ass@gmail.com,Jae Duk,Seo,https://talenthub.vectorinstitute.ai/profiles/1932673/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-08-14T04:28:11.329Z,2020-08-14T04:28:11.520Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/jaedukseo/,,,,,,,,,True,True,True,True -dc3f11d2-0c76-4758-9a85-310ac7b208b3,nilufa.yeasmin.cs@gmail.com,Nilufa,Yeasmin,https://talenthub.vectorinstitute.ai/profiles/1932316/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-08-13T20:51:14.244Z,2020-08-13T20:51:14.444Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/nilufayeasmin/,,,,,,,,,,,, -c2f58b5c-6353-47f3-b4f4-6a6e109aa706,yujie.dong@ontariotechu.net,YUJIE,DONG,https://talenthub.vectorinstitute.ai/profiles/2808836/view_image/1610679501677.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-05-12T17:06:23.262Z,2022-05-12T17:06:23.825Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/yujiedong-it/,,,,,,,,,True,False,True,True -ddc17cb3-4abf-4f88-915e-701e26958238,sunainahuj@gmail.com,Sunaina,Ahuja,https://talenthub.vectorinstitute.ai/profiles/1549503/view_image/0.jpeg,Lead Analyst | Project Manager | Data Visualization Consultant | Personal Branding Advisor | 2019 MMA Candidate,"I am an analytics professional with over 5 years of project management and internal consulting experience in a variety of industries including insurance, retail, telematics, and government. I like creating and designing dashboards that help in telling stories. -Is your organization moving to an agile way of doing business and looking to you to provide them with valuable insights from their existing data? Can’t figure out where to begin? Let me make it easy for you! -My goal is to provide dashboard designing and predictive analytics services that explain your company’s key performance indicators, educate your internal stakeholders in making better decisions, and improve workflow management across business functions; created in an easy to follow, user-friendly fashion. -My most valuable projects have been within risk management, transportation, and operations, but my educational background and work experience have also prepared me to design and implement reporting and dashboard solutions for firms in different industries; combining business and data analytics. I incorporate communications and data visualization best practices to build your project portfolio while improving your business unit’s operational efficiency! -I am currently studying for a Master of Management Analytics degree, and I have a Bachelor’s degree in Commerce. I am dedicated to professionalism and customer service, and I enjoy meeting new people and working hard to help them reach their professional goals! -Let my passion and creativity make your company - and life - easier, so you can focus on seizing opportunities! ",6473903007,,,,https://www.linkedin.com/in/sunainahuja/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ddc17cb3-4abf-4f88-915e-701e26958238/resume,Brampton,Ontario,,Canada,linkedin,2019-12-02T22:31:21.513Z,2019-12-02T23:25:09.702Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mrs.,https://www.linkedin.com/in/sunainahuja/,,,,Master of Management Analytics,"Retail, Telecommunications","Full Time, Capstone Project",,Queen's University,True,True,True,True -cf3987e2-4c3a-4370-9e11-37f600635e18,karthikraja.kalaiselvibhaskar@mail.utoronto.ca,Karthik Raja,Kalaiselvi Bhaskar,https://talenthub.vectorinstitute.ai/profiles/1714588/view_image/FullSizeRender_2.jpg,Machine Learning Researcher | Data Scientist | Software Engineer,"I am a Senior Data Scientist/ML Engineer at CIBC. Previously, I worked as a ML Researcher at WangLab affiliated with Vector Institute and University Health Network, proudly advised by Prof. Bo Wang. I completed my Master’s degree in ECE, specialized in Machine Learning at the University of Toronto advised by Prof. Deepa Kundur and by Prof. Yuri Lawryshyn. In my free time I work on projects at the intersection of Machine Learning, Natural Language Processing and Healthcare. Apart from my that, I am also interested in Deep Learning and Deep Reinforcement Learning with the focus of transfer learning, imitation learning, model-based RL. My ultimate goal is to build robust, privacy-preserved, and interpretable algorithms with human like ability to generalize in real-world environments by using data as its own supervision. -I am a Stream Owner and Discussion Group Lead of the “Machine Learning in Healthcare” stream at AISC (Aggregate Intellect), where we discuss one paper at a time every week from basics to state-of-the-art ML papers in HealthCare. I also host several live sessions with global researchers spanning the broad area of ML in HealthCare.",6478046600,,https://www.kbhaskar.com/,,,kbhaskar_95,True,False,https://canadaai.jobboard.io/api/v1/profiles/cf3987e2-4c3a-4370-9e11-37f600635e18/resume,Toronto,Ontario,,Canada,,2020-04-09T21:26:35.893Z,2022-02-11T13:37:04.307Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Bo Wang,Already Graduated,,Mr.,https://www.linkedin.com/in/karthik-raja-k-55689a88/,,Graduate Degree (Masters),Mid-Level (3-5 Years),M.A.Sc - ECE,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract","Data Architect, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Toronto,True,True,True,True -4ff498f9-86e8-4b27-a5de-224556530f70,sky980328@outlook.com,Tian,Niu,https://talenthub.vectorinstitute.ai/profiles/2803774/view_image/1652030605687.jpeg,Rotman MMA Candidate 2023 | Data Scientist | Data Analyst,"I graduated from University of Waterloo with a bachelor degree where I majored in statistics and minored in computing. I will be attending Master of Management Analytics in University of Toronto in August 2022, and expected to graduate in July 2023. Beside my academic studies, I further developed my data analysis and programming skills by taking online classes.",5489907469,,,,https://www.linkedin.com/in/SkyNiu,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4ff498f9-86e8-4b27-a5de-224556530f70/resume,Toronto,Ontario,,Canada,linkedin,2022-05-09T19:56:01.855Z,2022-05-10T02:11:16.136Z,False,False,Vector Scholarship Recipient,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/search/results/all/?keywords=tian%20niu&origin=GLOBAL_SEARCH_HEADER&sid=fJS,"Data science, Machine learning, Optimization",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,"Financial Services, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -066fa488-d96a-4736-b373-a133e80710f6,gbskohli8@gmail.com,Gursahaj,Kohli,https://talenthub.vectorinstitute.ai/profiles/1932122/view_image/66899035.jpg,Automation Intern @ Vector | Artificial Intelligence Engineer @ Omnidya AI,"Having a coding experience of more than 7 years in Python, I have a combination of technical experience focused on deep learning, machine learning, data engineering, automation and autonomous tasks. Most recently, I conducted research on simulating multivariate time series datasets using deep learning methods such as Generative Adversarial Networks at StarGAN v2 models. Currently I am working at Vector Institute as Automation engineer. Also, I am working as an Artificial Intelligence Engineer at Omnidya AI, California(US). -I am currently pursuing Master of Computer Science specialization in Artificial Intelligence at York University. -Python: -• Data Analysis (NumPy, pandas) -• Data Visualization (Matplotlib, Seaborn) -• Statistics, Applied Math, Time Series Predictions (SciPy, StatsModels) -• Machine Learning (scikit-learn) -• Deep Learning (Keras, TensorFlow) -Other Software and Programming: -• R -• SQL -• Linux -• Git -• Tableau -• Kali Linux -• Selenium -• Scrapy -• API data handling",,,,,https://www.linkedin.com/in/gursahaj-kohli-120a2b131/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/066fa488-d96a-4736-b373-a133e80710f6/resume,,Ontario,,Canada,,2020-08-13T19:39:52.531Z,2022-05-24T18:06:20.655Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/gursahajkohli/,"AI safety, Computer vision, Data science",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,"Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",York University,True,True,True,True -1b45ee91-30ec-4edf-933e-193b819d6f88,charlesrogerkeenan@gmail.com,Charles,Keenan,https://talenthub.vectorinstitute.ai/profiles/1804036/view_image/0.jpeg,Interoperability Specialist,"Proactive and committed Life Sciences university graduate and Master of Health Informatics candidate, seeking a position where my strong organizational, communication, and information technology skills, combined with broad experiences in healthcare and biomedical roles will be well utilized. -Experienced in leveraging skills for the development and management of health research studies with technical expertise in computer programming and database management. Holds business acumen with exceptional critical thinking and analytical skills to assess and manage health care records. Adept in all aspects of academic research and experimental research methods with exceptional critical thinking and analytical skills. Demonstrates expertise in giving oral presentations and communicating research findings. ",6132986634,,,,https://www.linkedin.com/in/charles-keenan/,,True,False,,Toronto,Ontario,,Canada,linkedin,2020-05-26T15:36:53.934Z,2021-01-06T14:17:05.597Z,False,False,Vector Scholarship Recipient,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/charles-keenan/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Health Informatics,"Health, Software, Technology (Information and Media)","Full Time, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Product/Project Manager, Other ",University of Toronto,True,True,True,True -88bfdec6-5834-4154-8d6c-835598f66ff7,andrei.ioan.barsan@gmail.com,Andrei,Bârsan,https://talenthub.vectorinstitute.ai/profiles/2113422/view_image/0.jpeg,PhD student researching learning for robot state estimation and autonomous vehicles,Please see andreibarsan.github.io and github.com/AndreiBarsan for recent papers and other technical contributions.,,,https://andreibarsan.github.io,,https://www.linkedin.com/in/barsan/,,True,False,,Toronto,Ontario,,Canada,linkedin,2020-10-26T19:03:58.459Z,2020-10-26T19:03:58.650Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Raquel Urtasun,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/barsan/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Science,"Construction or Infrastructure, Education, Health, Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -6b77aadf-0b6b-482a-bf0d-5235a627248c,pedropenzuti@gmail.com,Pedro,Penzuti Pacheco,https://talenthub.vectorinstitute.ai/profiles/2545200/view_image/1599420733667.jpeg,Experienced Analyst,Senior analyst developing and implementing machine learning models in the health insurance space. I'm interested in improving communication through data visualization and driving efficiency through the use of effective predictive modeling strategies.,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6b77aadf-0b6b-482a-bf0d-5235a627248c/resume,,,,,linkedin,2021-10-13T16:05:07.739Z,2021-10-13T16:05:07.924Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,,Mr.,https://www.linkedin.com/in/pedropenzuti/,"Bioinformatics, Data science, Machine learning",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Genetics,"Financial Services, Health, Type of Work is More Important to me than Sector",Full Time,"Data Analyst, Data Engineer, Data Scientist, Machine Learning Researcher/Scientist ",Other,True,True,True,True -f8d1eebf-09b7-4c12-941e-81ce86634739,peterpaullake@gmail.com,Peter,Lake,https://talenthub.vectorinstitute.ai/profiles/2683401/view_image/1620408012098.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-02-08T23:23:03.319Z,2022-02-08T23:23:03.817Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Winter 2023 (December 2022 - March 2023),,Mr.,N/A,Computer vision,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Physics,,Internship,Machine Learning Researcher/Scientist ,Other,True,False,True,True -a3be3d2f-b5be-49be-b367-cb8d29259faa,msingarajah@ryerson.ca,Magdalean,Singarajah,https://talenthub.vectorinstitute.ai/profiles/1974193/view_image/dp.jpg,Technology Consultant at Deloitte ,,6479812461,,,,https://www.linkedin.com/in/magdalean/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a3be3d2f-b5be-49be-b367-cb8d29259faa/resume,Toronto,Ontario,,Canada,,2020-09-11T15:43:51.750Z,2020-09-11T15:43:51.781Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/magdalean-singarajah/,,Graduate Degree (Masters),Entry Level (0-2 Years),MEng Electrical and Computer Engineering with AI Concentration,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,"Data Analyst, Data Scientist, Machine Learning Engineer",Ryerson University,True,True,True,True -f17eafb9-44bd-4795-9b96-01493a3da22e,cui.patricia@gmail.com,Patricia,Cui,https://talenthub.vectorinstitute.ai/profiles/2104118/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-10-16T20:33:22.402Z,2020-10-16T20:33:23.127Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/patricia-cui-tiange/,,,,,,,,,True,False,True,True -d4950b4b-3db8-4952-88a8-5ab49789ca10,zhz128ly@gmail.com,Yang,Zhou,https://talenthub.vectorinstitute.ai/profiles/2106379/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-10-19T15:12:09.191Z,2020-10-19T15:12:09.475Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,True,True,True -4ebfe2b5-34d6-4510-8548-d33cbaf5c682,mliuzzolino@gmail.com,Michael,Iuzzolino,https://talenthub.vectorinstitute.ai/profiles/2546894/view_image/1588625967247.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-10-14T17:14:59.337Z,2021-10-14T17:14:59.505Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/michael-iuzzolino-3a060696/,,,,,,,,,True,True,True,True -3a9953b4-f6ca-4fef-9b3c-3867175727cf,l24cui@uwaterloo.ca,Lin,Cui,https://talenthub.vectorinstitute.ai/profiles/2868435/view_image/IMG_8092.jpeg,Western University Co-op Student | Master of Data Analytics | Actively looking for internship or full-time position starting May 2023,,5197811929,,https://github.com/l24cui,,https://www.linkedin.com/in/lincui-profile,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3a9953b4-f6ca-4fef-9b3c-3867175727cf/resume,Waterloo,Ontario,,Canada,linkedin,2022-06-22T00:02:25.257Z,2022-09-29T22:11:43.444Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Fall 2023 (August - November),,Ms.,https://www.linkedin.com/in/lincui-profile/,"Data science, Healthcare and/or medical imaging, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Analytics (MDA) in Artificial Intelligence,"Financial Services, Health, Retail, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract","Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Western University,True,False,True,True -e41f8a06-0f85-43d1-b795-e82ba86336b9,dhruvrathi15@gmail.com,Dhruv,Rathi,https://talenthub.vectorinstitute.ai/profiles/2547949/view_image/1633248887042.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-10-15T14:20:12.895Z,2021-10-15T14:20:13.064Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/dhruv-rathi-/,,,,,,,,,True,True,True,True -5894d498-4c5c-485d-8fb2-7915d8aa3d59,ytian285@gmail.com,Yifang,Tian,https://talenthub.vectorinstitute.ai/profiles/1555870/view_image/photo_grad.jpg,Data Scientist | Machine Learning Engineer,"- Engineering experience in building state-of-art end-to-end data science system. -- Data analytics experience in defining data strategies, designing dashboards and conveying model insights. -- Excellent communication skills working with diverse audience including stakeholders and engineers. - -Tech stack: -• Data Science (4 yrs): Python, Pandas, sklearn, Tensorflow, PyTorch, NumPy, Matplotlib, Jupyter; MATLAB; R -• Data Analytics and Engineering (4 yrs): SQL; Spark; HDFS; Kafka; Hive; Tableau; Scala; Elastic; Kibana -• Cloud Skills (2 yrs): Azure – ML Studio, Databricks, Blob; AWS – SageMaker, EC2, S3; GCP - VertexAI, Dataflow, BigQuery -• Software Engineering (2 yrs): Java; Docker; Kubernetes; Git; Jenkins; Linux; JIRA; Agile",4162302685,,,,https://www.linkedin.com/in/ytian285/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5894d498-4c5c-485d-8fb2-7915d8aa3d59/resume,Toronto,Ontario,,Canada,linkedin,2019-12-07T15:46:32.892Z,2022-08-30T14:02:28.076Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Katarina Grolinger,Already Graduated,,Mr.,https://www.linkedin.com/in/ytian285/,,Graduate Degree (Masters),Mid-Level (3-5 Years),"Software Engineering, AI specialization","Financial Services, Health, Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,"Data Architect, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Western University,True,True,True,True -2199ac81-e834-4920-993e-abdd32a46fdf,shveta.bhasker@mail.utoronto.ca,Shveta,Bhasker,https://talenthub.vectorinstitute.ai/profiles/2980768/view_image/Headshot_Sep._2022.jpg,Master of Health Informatics Student at the University of Toronto,,6476097810,,,,https://www.linkedin.com/in/shveta-bhasker,shvetabhasker,True,False,,Toronto,Ontario,,Canada,,2022-08-31T17:18:19.205Z,2022-09-08T01:48:19.994Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2024 (April - July),,Ms.,www.linkedin.com/in/shveta-bhasker,"AI safety, Bioinformatics, Computational biology, Data science, Deep learning, Healthcare and/or medical imaging, Law, ethics and policy, Machine learning, Natural language processing, Neuroscience, Privacy, anonymity, and/or security, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Senior Level (5+ Years),Health Informatics,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development)","Internship, Co-op, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Researcher/Scientist , Product/Project Manager",University of Toronto,True,True,True,True -6811b2a7-4a35-4ebf-b932-85f7d3929375,lih.verma@mail.utoronto.ca,Nikhil,Verma,https://talenthub.vectorinstitute.ai/profiles/2980759/view_image/headShot1.png,AI Research Scientist,"Machine Learning is interesting because developing our understanding of machine learning entails developing our understanding of the principles that underlie intelligence. Data Science is an evolving field with fastly changing state-of-the-art benchmarks. Beside being academically competent, I believe in this agile environment uncommon results can be achieved if we could channelize individual brilliance via team-spirit. With this mindset let's join hands to create new milestones in deep learning research while working across the continents, impacting masses by work and exploring big datasets. -",2899232753,,https://lihkinverma.github.io/portfolio/index.html,,https://www.linkedin.com/in/lihkinVerma/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6811b2a7-4a35-4ebf-b932-85f7d3929375/resume,Toronto,Ontario,,Canada,,2022-08-31T17:18:18.316Z,2022-09-02T15:33:54.646Z,False,False,Vector Scholarship Recipient,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/lihkinVerma/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Science in Applied Computing,"Education, Health, Public Administration (i.e Gov't), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",University of Toronto,True,True,True,True -e96eec67-48ce-467b-b79e-d29ee54bd338,jiaruizhang96@yahoo.com,Jiarui,Zhang,https://talenthub.vectorinstitute.ai/profiles/3005916/view_image/1591846959721.jpeg,Machine Learning Engineer ," I am pursuing a bachelor’s degree in the Engineering Science program with a major in Machine Intelligence at the University of Toronto, expected to graduate in May of 2023. I am actively looking for a full-time programming job in machine learning area. I have solid experience with computer vision, image synthesis and audio data modelling. ",6476797587,,,,https://linkedin.com/in/jiaruizhangskyler,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e96eec67-48ce-467b-b79e-d29ee54bd338/resume,Toronto,Ontario,,Canada,linkedin,2022-09-17T03:04:29.157Z,2022-09-17T03:04:29.649Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Spring/Summer 2023 (April - July),I'm not associated with the Vector Institute.,Miss.,https://www.linkedin.com/in/jiaruizhangskyler/,"Computer vision, Deep learning, Generative modeling",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Engineering Science,"Software, Technology (Information and Media), Type of Work is More Important to me than Sector",Full Time,"Data Engineer, Machine Learning Engineer, Software Engineer",University of Toronto,True,False,True,True -842daab4-9507-4695-ab4b-40221c7cceef,raksha.begwani@ontariotechu.net,Raksha,Begwani,https://talenthub.vectorinstitute.ai/profiles/2949461/view_image/Imge-toptal.jpg,Project Manager (IT),"Hello, I am an international student and currently enrolled in MITS program and planning to choose AI as electives. I have 10 plus years of experience in IT and especially working with Microsoft Products - SharePoint, O365, Content Migration. I also have experience in resource management and vendor management for IT projects. Recently, I have been inclined towards Cloud and IT security and hence have taken steps to move towards the vast filed of Information Security. I am interested in Education or Support Services Organization. ",6478355793,,,,https://www.linkedin.com/in/raksha-begwani-315614b/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/842daab4-9507-4695-ab4b-40221c7cceef/resume,Oshawa,Ontario,,Canada,,2022-08-11T17:59:17.728Z,2022-09-06T21:21:14.199Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Ms.,https://www.linkedin.com/in/raksha-begwani-315614b/,,Graduate Degree (Masters),Senior Level (5+ Years),MITS,,"Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Product/Project Manager",OntarioTech University,True,True,True,True -9f5ea02a-f406-4cfe-9369-4e9b05c6453d,aryangarg019@gmail.com,Aryan,Garg,https://talenthub.vectorinstitute.ai/profiles/2988400/view_image/1577725625119.jpeg,,,,,https://github.com/Aryan-Garg,,,,True,False,,,,,,linkedin,2022-09-06T04:08:25.939Z,2022-09-06T04:08:26.491Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/aryan-garg/,,,,,,,,,True,True,True,True -0a5ac616-97b4-429e-b9ce-5361090a8aae,abiolaazeez045@gmail.com,Abiola,Azeez,https://talenthub.vectorinstitute.ai/profiles/3015098/view_image/IMG_20220807_074425_876.jpg,,I'm a doctoral student in the Ethics of Artificial Intelligence. My research focuses on drift in artificial intelligence systems: socio-ethical implications for responsible artificial intelligence.,6136780391,,https://craiedl.ca/joseph-azeez/,,http://www.linkedin.com/in/joseph-azeez-ab21ab134,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0a5ac616-97b4-429e-b9ce-5361090a8aae/resume,Ottawa,Ontario,,Canada,,2022-09-23T02:37:01.935Z,2022-09-27T14:39:09.250Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,Ontario,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/joseph-azeez-ab21ab134/,,Postgraduate Degree (PhD),Entry Level (0-2 Years),PhD in Philosophy (Ethics of AI),"Education, Software, Technology (Product Development)","Internship, Co-op","Data Analyst, Machine Learning Researcher/Scientist , Product/Project Manager",University of Ottawa,True,True,True,True -0e646ea6-8013-411b-becb-c90de9f3cf82,nghi.huynh@mail.mcgill.ca,Nghi,Huynh,https://talenthub.vectorinstitute.ai/profiles/2982020/view_image/1650725176375.jpeg,Machine Learning Enthusiast | Kaggle Notebooks Expert | McGill Graduate 2021,"Hello, I'm Nghi. I'm a McGill graduate with a bachelor's in Computer Science and Biology and a minor in Mathematics. I'm interested in data science, especially the applications of deep learning in the healthcare domain.",,,https://nghi-huynh.github.io/,,https://www.linkedin.com/in/nghi-huynh-2b9700158/,,True,False,,,,,,linkedin,2022-09-01T11:24:15.580Z,2022-09-01T11:24:16.164Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,,Miss.,https://www.linkedin.com/in/nghi-huynh-2b9700158/,"Computational biology, Computer vision, Data science, Deep learning, Healthcare and/or medical imaging, Machine learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science and Biology,Health,Full Time,"Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,False,True,True -6e6267c9-71e9-4250-acb8-bfa633c98564,ganeshg2208@outlook.com,Ganesh,G,https://talenthub.vectorinstitute.ai/profiles/2953581/view_image/1577417651171.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-08-15T02:01:52.225Z,2022-08-15T02:01:52.661Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,False,True,True -2b121070-bfc4-426d-9459-08416a6c4c6e,21iwn@queensu.ca,Irene,Ngugi,https://talenthub.vectorinstitute.ai/profiles/2994410/view_image/1597213826404.jpeg,,Experienced supply chain leader who is passionate about making an impact in people's lives,8323301709,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2b121070-bfc4-426d-9459-08416a6c4c6e/resume,Toronto,Ontario,,Canada,,2022-09-09T12:59:57.390Z,2022-10-13T19:40:37.002Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Ms.,N/A,"AI safety, Law, ethics and policy, Privacy, anonymity, and/or security",Graduate Degree (Masters),Senior Level (5+ Years),Master of Management in Artificial Intelligence,"Construction or Infrastructure, Professional Services (e.g Consulting), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract","Product/Project Manager, Other ",Queen's University,True,True,True,True -410ebb29-e9ca-4577-a1dd-19ee01291a95,agnel1819@gmail.com,Agnel,Mamachan,https://talenthub.vectorinstitute.ai/profiles/2382454/view_image/Agnel_LinkedIn_Pic.jpg,Data Scientist,"A passionate and highly motivated data analyst, having a Masters degree in Artificial Intelligence at Schulich School of Business, with experience and interest in Data Science, Business Intelligence and Reporting. ",6473211819,,,,https://www.linkedin.com/in/agnel-mamachan/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/410ebb29-e9ca-4577-a1dd-19ee01291a95/resume,Toronto,Ontario,,Canada,,2021-06-02T13:19:21.756Z,2022-11-07T17:52:01.626Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/agnel-mamachan-326634151/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Artificial Intelligence,"Financial Services, Health, Professional Services (e.g Consulting), Retail, Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",York University,True,True,True,True -33b8d2fa-3223-4332-9edc-6699e56010ab,ram.ananth14@gmail.com,Ram,Ananth,https://talenthub.vectorinstitute.ai/profiles/3007767/view_image/1643866243963.jpeg,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/33b8d2fa-3223-4332-9edc-6699e56010ab/resume,,,,,linkedin,2022-09-18T19:56:01.166Z,2022-09-19T21:04:53.237Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/ram-ananth-a416b0142/,,Graduate Degree (Masters),Entry Level (0-2 Years),Mechanical and Industrial Engineering,,"Full Time, Contract","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -29119dfb-aafc-4f18-a915-60d15a7430e4,zilong37@schulich.yorku.ca,Zilong,Liu,https://talenthub.vectorinstitute.ai/profiles/3011244/view_image/0.jpg,,,9058182582,,,,https://www.linkedin.com/in/zilongliu,,True,False,https://canadaai.jobboard.io/api/v1/profiles/29119dfb-aafc-4f18-a915-60d15a7430e4/resume,Toronto,Ontario,,Canada,,2022-09-20T19:13:46.970Z,2022-09-20T19:14:04.408Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/zilongliu/,Data science,Graduate Degree (Masters),Entry Level (0-2 Years),MMAI,"Construction or Infrastructure, Financial Services, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",York University,True,True,True,True -7b62be6c-fb53-4a39-b84f-91121f78539a,dilmicperera@gmail.com,Dilmi,Perera,https://talenthub.vectorinstitute.ai/profiles/1650440/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-02-21T23:06:32.141Z,2022-09-20T02:15:19.152Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/dilmiperera/,,,,,,,,,True,True,True,True -79748aac-507f-41d5-892b-1e6cb2959f14,alexpenamexico@gmail.com,Alexis,Esquivel,https://talenthub.vectorinstitute.ai/profiles/2938644/view_image/Foto_Perfil.jpg,,"Recently graduated from an Analytics program & looking to orient my career in this field. With 10+ years of experience working for multinational banks in Canada and Mexico, I have covered a wide range of client-facing roles in Capital Markets, Business & Retail Banking. Emphasis on customer service & client engagement. Proposed, implemented, and provided support and troubleshooting of payment solutions on-site & remotely. Always following strict compliance in roles where licensing is required (mutual funds, FX, and derivatives). Previous experience in the analysis, visualization, and forecast of customer transactions using SAP, Excel, & SAGE; and been updating these skills over the past year gaining exposure to database fundamentals, cloud-based services such as Databricks & Power BI, and basic scripting in Python, SQL, R, and Spark.",4379865502,,,,https://linkedin.com/in/alexispenaesquivel,,True,False,https://canadaai.jobboard.io/api/v1/profiles/79748aac-507f-41d5-892b-1e6cb2959f14/resume,Mississauga,Ontario,,Canada,,2022-08-04T19:14:39.677Z,2022-09-08T16:32:40.190Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/alexispenaesquivel/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,"Education, Financial Services, Software, Technology (Information and Media), Type of Work is More Important to me than Sector","Full Time, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",Queen's University,True,True,True,True -02a90b16-81a7-4732-a313-84463fc14774,daanyal.malik@outlook.com,Daanyal,Malik,https://talenthub.vectorinstitute.ai/profiles/3130711/view_image/1664847930712.jpeg,Data Scientist and Machine Learning Engineer,"A Data Scientist with a background in software engineering having 4+ years of experience building data driven products and helping businesses derive hidden insights from their data. Proficient in machine learning, predictive and statistical modeling, data mining & analysis, deep-learning, and computer vision.",2896715572,,,,https://www.linkedin.com/in/daanyal-malik/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/02a90b16-81a7-4732-a313-84463fc14774/resume,,,,,linkedin,2022-11-10T23:19:20.993Z,2022-11-10T23:19:21.448Z,False,False,Not Affiliated with Vector,No,Unsure,ON,Already Graduated,"Not associated in any way. However, I am an experienced professional in Data Science, AI, and in Analytics.",Mr.,https://www.linkedin.com/in/daanyal-malik/,,Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Computer Science,,"Full Time, Contract","Data Scientist, Machine Learning Engineer, Software Engineer",Other,True,True,True,True -2261825e-8ce6-489e-9434-5e1fe5f0261e,ananya.raval@gmail.com,Ananya,Raval,https://talenthub.vectorinstitute.ai/profiles/3151716/view_image/1606507779846.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-11-24T20:23:41.026Z,2022-11-24T20:23:41.458Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/ananya-raval/,,,,,,,,,True,False,True,True -c0f9ccc0-2c60-4321-91d3-171798301b29,kaleabkebede@outlook.com,Kaleab E, Kebede,https://talenthub.vectorinstitute.ai/profiles/3154909/view_image/Kaleab_Queen_s_ID.jpeg,,,647-803-7659,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c0f9ccc0-2c60-4321-91d3-171798301b29/resume,Toronto,Ontario,,Canada,linkedin,2022-11-27T15:37:57.030Z,2022-11-27T15:37:57.408Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/kaleab-e-kebede/,"Data science, Deep learning, Game theory, Machine learning, Natural language processing, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Analytics,Financial Services,"Full Time, Internship","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,False,True,True -057983ff-255d-4997-bef4-a5779c50b554,liuxd_1215@outlook.com,Xudong (Frank),Liu,https://talenthub.vectorinstitute.ai/profiles/3000715/view_image/1661932418531.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-09-14T04:21:37.945Z,2022-11-08T05:39:01.295Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/xudong-frank-liu-566513198/,,,,,,,,,True,True,True,True -52661f4a-811e-4926-b585-e81c10f9b9f0,chukypedro15@gmail.com,Okolie,Chukwuka,https://talenthub.vectorinstitute.ai/profiles/3142091/view_image/1596387742738.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-11-18T06:52:22.491Z,2022-11-18T06:52:22.877Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/okolie-chukwuka-87609b181/,,,,,,,,,True,True,True,True -a10fc795-e19d-4bee-b4c9-69d09e3db705,tf.yau@mail.utoronto.ca,Tsz Fung,Yau,https://talenthub.vectorinstitute.ai/profiles/3130221/view_image/1662648514052.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-11-10T15:31:34.750Z,2022-11-10T15:31:35.199Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/tsz-fung-yau/,,,,,,,,,True,False,True,True -976bd36a-9525-41f8-b4df-8b80e891f99f,nvarghese787@gmail.com,Nelson,Vithayathil Varghese,https://talenthub.vectorinstitute.ai/profiles/2472562/view_image/Nelson_Photo.jpeg,Experienced Software Engineer,"My name is Nelson, a masters graduate who holds a Master of Applied Science(MASc) degree in Electrical and Computer Engineering from Ontario Tech University, Oshawa, ON and a Bachelor of Technology degree in Computer Engineering from Cochin University of Science and Technology, India. The major focus of my Master degree was on machine learning based research and course subjects, which provided a great amount of exposure on the related technologies . I am passionate about the Machine Learning/Deep Learning and Data Science domain. Additionally, I also possess past work experience as a software developer and researcher by associating with top-notch companies as well as research institutes. This has helped me to not only build knowledge on software development life cycle under a corporate working environment but also to gain soft skills such as strong interpersonal and communicational skills , both written and verbal.",2896759246,,,,https://www.linkedin.com/in/nelsonvarghese/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/976bd36a-9525-41f8-b4df-8b80e891f99f/resume,Oshawa,Ontario,,Canada,,2021-08-17T18:52:42.409Z,2021-10-08T17:36:16.842Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/nelsonvarghese/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Senior Level (5+ Years),Master of Applied Science in Electrical and Computer Engineering,"Financial Services, Health, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Full Time, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",OntarioTech University,True,True,True,True -0dc4d2e2-a24b-42ef-b553-b547f3b983a9,arnavbh9@gmail.com,Arnav,Bhardwaj,https://talenthub.vectorinstitute.ai/profiles/1944283/view_image/0.jpeg,,,,,,,https://www.linkedin.com/in/arnav-bhardwaj-8a04b3137/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0dc4d2e2-a24b-42ef-b553-b547f3b983a9/resume,,,,,linkedin,2020-08-20T19:11:12.205Z,2020-08-20T19:11:12.384Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/arnav-bhardwaj-8a04b3137/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,"Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,,University of Toronto,True,True,True,True -a3e42f38-ffe5-452e-a2b0-a97809fd6e34,pinigin@gmail.com,Sergey,Pinigin,https://talenthub.vectorinstitute.ai/profiles/1970969/view_image/0.jpeg,"Product Director, ML/Data Science consultant","15+ years of experience launching products in different industries, engaging teams at all organizational levels and externally, and accelerating solutions delivery. Data-centred projects in recent years.",4169183221,,,,https://www.linkedin.com/in/pinigin/,pinigin,True,False,https://canadaai.jobboard.io/api/v1/profiles/a3e42f38-ffe5-452e-a2b0-a97809fd6e34/resume,Toronto,Ontario,,Canada,linkedin,2020-09-09T01:48:59.664Z,2020-09-09T01:48:59.887Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,,Mr.,https://www.linkedin.com/in/pinigin/,,Graduate Degree (Masters),Senior Level (5+ Years),Biophysics,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Contract, Capstone Project",,Other,True,True,True,True -998a936c-5bd5-42ce-bb71-4e26c5fa96e2,alex.yy.cui@gmail.com,Alex,Cui,https://talenthub.vectorinstitute.ai/profiles/2355567/view_image/1516529381666.jpeg,Machine Learning Researcher ,,4163155291,,https://alexcui.ca,,https://www.linkedin.com/in/alex-cui-caltech/,alexcdot,True,False,https://canadaai.jobboard.io/api/v1/profiles/998a936c-5bd5-42ce-bb71-4e26c5fa96e2/resume,Toronto,Ontario,,Canada,linkedin,2021-05-13T00:29:21.889Z,2021-05-14T20:11:05.553Z,False,False,Connected to Vector Research,Yes,Vector Scholarship Recipient,Raquel Urtasun,Winter 2023,,Mr.,https://www.linkedin.com/in/alex-cui-caltech/,"Computer vision, Deep learning, Robotics",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Masters in Computer Science,"Health, Software, Technology (Product Development), Transportation","Full Time, Internship","Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -6d97384f-6a3a-4b57-b0b1-e8343f41341b,amithkknbr@gmail.com,Amith,Keloth Kaitheri,https://talenthub.vectorinstitute.ai/profiles/2341167/view_image/1581093488605.jpeg,Business Analyst,"Actively looking for a full-time job to showcase my skills and abilities. I am a self-motivated and inspired team player with a demonstrated history of working in the Telecom industry. Intrigued and inclined towards areas of telecommunication, RF, troubleshooting, python, and automation.",,,,,https://www.linkedin.com/in/amith-nambiar-a37317111/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6d97384f-6a3a-4b57-b0b1-e8343f41341b/resume,Windsor,Ontario,,Canada,linkedin,2021-05-02T01:08:39.162Z,2021-05-04T01:05:15.380Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/amith-nambiar-a37317111/,"AI safety, Bioinformatics, Deep learning, Law, ethics and policy, Online learning, Optimization, Robotics",Graduate Degree (Masters),Entry Level (0-2 Years),M.Eng in Electrical and Computer Engineering,"Education, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Telecommunications",Full Time,"Data Analyst, Other ",University of Windsor,True,True,True,True -49fa77b9-5957-4afe-8813-c723a2e004b5,shilpa.hv05@gmail.com,Shilpa,Honnavara Viswanathaiah,https://talenthub.vectorinstitute.ai/profiles/1944064/view_image/IMG_3203.jpg,,,,,,,https://www.linkedin.com/in/shilpahv/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/49fa77b9-5957-4afe-8813-c723a2e004b5/resume,Burlington,Ontario,,Canada,,2020-08-20T16:44:24.485Z,2021-05-19T00:12:27.441Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mrs.,https://www.linkedin.com/in/shilpahv/,"Data science, Healthcare and/or medical imaging, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management in Artificial Intelligence,"Education, Health, Manufacturing , Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Full Time, Internship, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True -35bf8fff-408a-4053-a660-88cd7765ccbe,rizzwanali12@gmail.com,Rizwan,Ali,https://talenthub.vectorinstitute.ai/profiles/1944074/view_image/71963160_528580217866450_7043248819248562176_n.jpg,,,,,,,https://www.linkedin.com/in/alliriz/,,True,False,,,,,,,2020-08-20T16:44:33.985Z,2020-09-22T13:36:37.620Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/alliriz/,,Graduate Degree (Masters),Entry Level (0-2 Years),MEng. Mechanical and Industrial Engineering,"Construction or Infrastructure, Financial Services, Professional Services (e.g Consulting), Retail, Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship",,University of Toronto,True,False,True,True -61f9bbc7-ceab-4efa-96cc-812c0ff14ecf,11jm142@queensu.ca,John,McKenzie,https://talenthub.vectorinstitute.ai/profiles/1966786/view_image/0.jpg,New Analytics and Business Professional.,"Looking to work on challenging and collaborative projects that combine data analytics and finance aptitude so that I can work towards delivering business value through technical solutions to stakeholders. I excel in team environments and use my inquisitive and analytical nature, coupled with my propensity to learn new things to deliver consistent incremental value to members of my team and vested parties to the project. -Presently my skills in structured and unstructured data cleaning, processing, exploration, modeling, and machine learning is focused on R programming, I am in the process of transitioning those skills to python. -Links to my profiles can be found at johnrmckenzie.com ",416457779,,http://johnrmckenzie.com,,https://www.linkedin.com/in/johnmckenzie117/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/61f9bbc7-ceab-4efa-96cc-812c0ff14ecf/resume,Toronto,Ontario,,Canada,,2020-09-04T14:57:49.678Z,2020-09-11T18:24:41.062Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/johnmckenzie117/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Masters in Managerial Analytics,"Financial Services, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Product Development)","Full Time, Internship, Contract",,Queen's University,True,False,True,True -cb798c4f-6750-4481-be33-87d467b436dc,ishitakumar0@gmail.com,Ishita,Kumar,https://talenthub.vectorinstitute.ai/profiles/2482438/view_image/1591378724193.jpeg,"M.Sc. Statistics graduate from the London School of Economics with 3 years of research experience involving machine learning, AI, empirical modelling and forecasting using Python, R, and SQL",,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/cb798c4f-6750-4481-be33-87d467b436dc/resume,,,,Canada,,2021-08-25T14:52:06.418Z,2021-08-25T14:52:06.481Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/ishita-kumar-ab0bb9133/,"Bayesian methods, Data science, Deep learning",Graduate Degree (Masters),Entry Level (0-2 Years),M.Sc. in Statistics,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",Other,True,False,True,True -26c8a821-f93c-4285-9ef7-3d5c3cfd97ba,tsun@connect.ust.hk,Ting,Sun,https://talenthub.vectorinstitute.ai/profiles/2409422/view_image/1516543279957.jpeg,,,,,,,https://www.linkedin.com/in/ting-sun-04a1a075/,,True,False,,,,,,linkedin,2021-06-23T16:59:23.061Z,2021-06-23T16:59:23.246Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,job hunting,Miss.,https://www.linkedin.com/in/ting-sun-04a1a075/,Computer vision,Postgraduate Degree (PhD),Entry Level (0-2 Years),PhD in ECE HKUST,,Full Time,Machine Learning Researcher/Scientist ,Other,True,False,True,True -9cc0f2da-256e-4b67-9eaa-ebfc82a4dc16,mail.jaswal@gmail.com,Munish,Jaswal,https://talenthub.vectorinstitute.ai/profiles/1944068/view_image/bl-right_munish.jpg,,,6473938459,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9cc0f2da-256e-4b67-9eaa-ebfc82a4dc16/resume,Toronto,Ontario,,Canada,,2020-08-20T16:44:28.298Z,2020-09-17T16:19:52.811Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Already Graduated,,Mr.,https://www.linkedin.com/in/munishjaswal/,,Graduate Degree (Masters),Senior Level (5+ Years),MMAI,"Health, Professional Services (e.g Consulting), Software, Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Contract, Capstone Project",,Queen's University,True,True,True,True -218b87b3-a5f5-4f75-ae9e-7c1579359c07,patily@gmail.com,Yogesh,Patil,https://talenthub.vectorinstitute.ai/profiles/2494610/view_image/1576005985253.jpeg,,,,,,,https://www.linkedin.com/in/patilyogesh/,,True,False,,,,,,linkedin,2021-09-02T14:27:16.701Z,2021-09-02T14:27:16.887Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022,,Mr.,https://www.linkedin.com/in/patilyogesh/,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Management in Artificial Intelligence,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Product/Project Manager, Other ",Queen's University,True,True,True,True -b8998326-606f-42a2-9234-10457a6a40f5,m.r.nilchiyan@fkegraduate.utm.my,MohammadReza,Nilchiyan,https://talenthub.vectorinstitute.ai/profiles/2340955/view_image/1616956327863.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-05-01T18:31:17.981Z,2021-05-01T18:31:18.225Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/mohammadreza-n-239a30a6/,,,,,,,,,True,True,True,True -f811611c-e1e7-4a5a-aa77-e4c4e1ff2ee8,rayed@rayanalytics.org,Md. Rayed Bin,Wahed,https://talenthub.vectorinstitute.ai/profiles/1890200/view_image/0.jpeg,The All-round Engineer,"To build compelling products and services, engineers of today can't rely on just one skill. They need to be competent web developers and also understand how to bring their applications to life with machine learning, all the while rooting themselves in strong software engineering principles. Having developed a mission-critical SaaS application for 3 years and working as a Machine Learning engineer for 1; I can see how the two complement each other and how their synergy makes the 'all-round' engineer possible, equipped with the skill-set of today, ready to tackle any challenge.",(+880) 1774882517,,,,https://www.linkedin.com/in/rayedbw/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f811611c-e1e7-4a5a-aa77-e4c4e1ff2ee8/resume,,,,,linkedin,2020-07-26T12:44:46.187Z,2020-08-12T07:23:19.888Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,Will apply for Vector Scholarship when the next cohort opens.,Mr.,https://www.linkedin.com/in/rayedbw/,,Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Computer Science,"Software, Technology (Product Development)","Full Time, Internship",,Other,True,True,True,True +5f5fc662-a42e-43cc-8a28-ee0058c9947d,oliviavvvv@gmail.com,Zerun,Xiao,https://talenthub.vectorinstitute.ai/profiles/1604936/view_image/0.jpeg,Candidate for Master of Data Analytics at Western University,"I completed my computer science degree from UBC, during the last few years in the school I developed firm programming skills and an in-depth understanding of system representation, such as relational databases and intelligent systems. +Standing at the intersection of various industries, data has appealed to me as a magical window to observe the world. As a Computer Science student with broad interests, I have thus long been riveted by how data will revolutionize the way we live. This inspires me to pursue a master's degree in data analytics at Western University. With my skills for statistical modeling and data analytics enhanced by completing this program, I seek to achieve my ambition as a data analyst to connect with multi-disciplinary industries. ",7783179661,,,,https://www.linkedin.com/in/zerun-xiao-aa012314a/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5f5fc662-a42e-43cc-8a28-ee0058c9947d/resume,London,Ontario,,Canada,linkedin,2020-01-16T20:36:12.887Z,2020-01-19T04:18:57.381Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/zerun-xiao-aa012314a/,,Graduate Degree (Masters),,Master of Data Analytics,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op",,Western University,True,True,True,True +d948ba8c-2b2f-4246-b216-871df341e88d,yhsiuwei@gmail.com,Leo (Hsiu-Wei),Yang,https://talenthub.vectorinstitute.ai/profiles/1607763/view_image/0.jpeg,Data Scientist,"Leo (Hsiu-Wei) Yang is a master's student in computer science at University of Waterloo. His research interests lie in natural language processing and knowledge graph applications based on deep learning and Spark. His papers are published in top conferences, including EMNLP, SIGIR, CIKM, and JCDL. He also received a MBA degree from National Taiwan University and has several years of experience as a data analyst specializing in social media marketing. ",+1-5195845912,,,,https://www.linkedin.com/in/yhsiuwei/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d948ba8c-2b2f-4246-b216-871df341e88d/resume,Waterloo,Ontario,,Canada,linkedin,2020-01-19T04:48:17.620Z,2020-01-19T04:48:17.828Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/yhsiuwei/,,Graduate Degree (Masters),,Computer Science,"Financial Services, Manufacturing , Technology (Information and Media)","Internship, Co-op",,University of Waterloo,True,False,True,True +57c3ec84-6042-4c98-b110-4d0f55f97c8f,stephanearocaouellette@gmail.com,Stephane,Aroca-Ouellette,https://talenthub.vectorinstitute.ai/profiles/1587033/view_image/0.jpeg,Graduate Student,"Current Master's student searching for a summer internship before starting my doctoral studies in the fall. Interested in leveraging deep learning, reinforcement learning, and natural language processing to make the world a better place.",2368864771,,https://github.com/StephAO,,https://www.linkedin.com/in/stephane-ao/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/57c3ec84-6042-4c98-b110-4d0f55f97c8f/resume,Toronto,Ontario,,Canada,linkedin,2020-01-06T23:29:47.347Z,2020-01-09T21:05:49.173Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Frank Rudzicz,Already Graduated,,Mr.,https://www.linkedin.com/in/stephane-ao/,,Graduate Degree (Masters),,Computer Science,"Construction or Infrastructure, Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Product Development), Type of Work is More Important to me than Sector","Internship, Co-op",,University of Toronto,True,False,True,True +64bd7742-fc65-4627-a5d3-fc1ed69d8c9a,paultononcs@gmail.com,Paul,Tonon,https://talenthub.vectorinstitute.ai/profiles/1585862/view_image/0.jpeg,Graduate Student at the University of Waterloo,,,,,,https://www.linkedin.com/in/paul-tonon-8484bb186/,,True,False,,Waterloo,Ontario,,Canada,linkedin,2020-01-06T14:49:50.209Z,2020-01-06T14:49:50.395Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2021,,Mr.,https://www.linkedin.com/in/paul-tonon-8484bb186/,,,,Master of Data Science and Artificial Intelligence,Type of Work is More Important to me than Sector,Co-op,,University of Waterloo,True,True,True,True +f6604edc-f737-4520-8b44-ad7992e8a3da,michellekhuu96@hotmail.com,Michelle,Khuu,https://talenthub.vectorinstitute.ai/profiles/1572642/view_image/0.jpeg,,,,,,,https://www.linkedin.com/in/michellekhuurn,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f6604edc-f737-4520-8b44-ad7992e8a3da/resume,Toronto,Ontario,,Canada,linkedin,2019-12-23T04:50:49.112Z,2019-12-23T04:50:49.385Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Miss.,https://www.linkedin.com/in/michellekhuurn/,,,,Master of Health Informatics,"Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract, Capstone Project",,University of Toronto,True,False,True,True +1255f1c4-bf42-4580-ae88-8804a64d853a,alinsteinjose@gmail.com,Alinstein,Jose,https://talenthub.vectorinstitute.ai/profiles/1593484/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-10T05:52:06.429Z,2020-01-10T05:52:06.578Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/alinsteinjose/,,Graduate Degree (Masters),,,,,,,True,True,True,True +0d2b3c9a-d0bc-4cc2-801a-0056068bd583,graydonho@gmail.com,Graydon,Hope,https://talenthub.vectorinstitute.ai/profiles/1565041/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-15T23:33:21.458Z,2019-12-15T23:33:21.674Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/graydon-hope/,,,,,,,,,True,False,True,True +88feb46d-5a17-43bf-b9b4-1845ff568c89,abhinav.sagar2016@vitstudent.ac.in,ABHINAV,SAGAR,https://talenthub.vectorinstitute.ai/profiles/1567021/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-17T08:14:47.380Z,2019-12-17T08:14:47.813Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/abhinav-sagar-211a1a1a/,,,,,,,,,True,True,True,True +f1e1c208-55d0-4506-8ad6-da51ff51dd2a,s.a.mojarad@gmail.com,Shahin,A. Mojarad,https://talenthub.vectorinstitute.ai/profiles/1591368/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-08T23:59:16.705Z,2020-01-08T23:59:17.092Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/shahinmojarad/,,Postgraduate Degree (PhD),,,,,,,True,False,True,True +fe97b80e-569c-4187-823d-1a456a1ea494,christopher.jj.wang@gmail.com,Christopher,Wang,https://talenthub.vectorinstitute.ai/profiles/1588739/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-07T18:16:42.235Z,2020-01-07T18:16:42.414Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/christopher-jj-wang/,,,,,,,,,True,False,True,True +87b9e288-4a2d-4d6f-b380-5149dfb45325,erik.beier@gmail.com,Erik,Beier,https://talenthub.vectorinstitute.ai/profiles/1574823/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-26T21:32:36.393Z,2019-12-26T21:32:36.724Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/erikbeier/,,,,,,,,,True,False,True,True +ac83e769-852a-444a-aa58-6248f1fff1d8,akinplus@yahoo.com,Paul,Akinpelu,https://talenthub.vectorinstitute.ai/profiles/2624521/view_image/AKINPELU.jpg,"Experienced IT professional/bank examiner focused on developing effective and efficient processes using knowledge of financial innovation, data science, software development and project management","Paul Akinpelu is a Senior IT Specialist Bank Examiner with 14 years of work experience. He is excellent at applying IT knowledge, skills and expertise in helping organizations enhance their business processes and achieve their strategic goals. Over the last three years, he led a specialist team to design an award-winning Anti-Money Laundering/Combating Financing Terrorism software solution for the apex bank. +With an educational background in mathematics, computer science and finance, he is currently pursuing another master’s degree programme in Financial Innovation and Technology at the Smith School of Business, Queens University, Kingston, Ontario. He truly believes data science, machine learning, and technological innovation are critical to modern-day businesses' success. +When he isn't helping businesses get a competitive advantage, Paul enjoys playing his favourite musical instruments. +",647 834 1952,,,,https://www.linkedin.com/in/yemai/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ac83e769-852a-444a-aa58-6248f1fff1d8/resume,Mississauga,Ontario,,Canada,,2021-12-22T19:55:53.464Z,2022-01-10T06:59:14.293Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/yemai/,"Data science, Deep learning, Machine learning, Privacy, anonymity, and/or security, Recommender systems, Unsupervised learning",Graduate Degree (Masters),Senior Level (5+ Years),Financial Innovation and Technology,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Software Engineer, Other ",Queen's University,True,True,True,True +a895b5c7-3ce9-498e-b47c-07eff24e427b,ali.ahmed.hd@gmail.com,Ali ,A.E. Ahmed,https://talenthub.vectorinstitute.ai/profiles/2508240/view_image/1624590752653.jpeg,Senior Analyst & Reseacher,"Canadian/Egyptian located in Egypt with experience from from UN to SAP and MS Partners, Ali is a master digitalization professional. Currently doing his MLOps certification and his Phd in OR. Ali brings both operations and business plus academic drive. Going into 10 year of experience in both academic, non-profit, and for-profit organizations, Ali brings leadership in reaching the optimal potential in both business and learning style. ",201060116900,,http://enter-cloud.xyz,,https://www.linkedin.com/in/aaahmed/,aaahmed86,True,False,,,,,,linkedin,2021-09-14T02:57:15.592Z,2021-09-14T02:57:15.743Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Fall 2024 (August - November),CIFAR DLRL 2021 Summer School,Mr.,https://www.linkedin.com/in/aaahmed/,"Data science, Machine learning, Optimization, Quantum computing, Reinforcement learning, Robotics, Statistical learning theory, Time-series forecasting and modelling, Wearable technology and/or Internet of Things",Postgraduate Degree (PhD),Senior Level (5+ Years),Operations Research,"Construction or Infrastructure, Education, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Product Development), Transportation","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Researcher/Scientist , Product/Project Manager, Other ",Ryerson University,True,True,True,True +148ca448-1b47-405b-a11a-3190f837f2b0,huguesthomas218@gmail.com,Hugues,THOMAS,https://talenthub.vectorinstitute.ai/profiles/2509513/view_image/1517540273605.jpeg,,,,,https://huguesthomas.github.io/,,https://www.linkedin.com/in/hugues-thomas-951945b0,,True,False,,,,,,linkedin,2021-09-14T21:14:19.353Z,2021-09-20T15:24:04.518Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Post Graduate Affiliate,Tim Barfoot,Already Graduated,,Mr.,https://www.linkedin.com/in/hugues-thomas-951945b0,,Postgraduate Degree (PhD),Senior Level (5+ Years),3D Computer vision,,"Full Time, Co-op",Machine Learning Researcher/Scientist ,University of Toronto,True,True,True,True +e0fdfa40-5f3d-4b17-884e-fbec0c75ed00,a.gritsevskiy@mail.utoronto.ca,Andrew,Gritsevskiy,https://talenthub.vectorinstitute.ai/profiles/2504442/view_image/Screenshot_from_2021-09-22_23-59-04.png,Research assistant,"I'm a math student at UofT, interested in reinforcement learning, AI, quantum computing, and neuroscience.",+1 (781) 353-8889,,https://andrew.fi,,https://www.linkedin.com/in/agritsevskiy/,,True,False,,Toronto,Ontario,,Canada,,2021-09-10T17:42:44.073Z,2021-09-10T18:45:28.204Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/agritsevskiy/,"Machine learning, Reinforcement learning, Robotics",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Mathematics,Type of Work is More Important to me than Sector,"Internship, Co-op, Capstone Project","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True +63b218c0-bdfe-4769-b521-fe90513d4c78,rupendra.raavi@ontariotechu.net,Rupendra,Raavi,https://talenthub.vectorinstitute.ai/profiles/2624600/view_image/IMG_0040.jpeg,AI (Deep Learning),Deeply Interested to work on machine learning technologies and being specific on deep learning and computer vision.,,,,,https://www.linkedin.com/in/rupendra1998,,True,False,https://canadaai.jobboard.io/api/v1/profiles/63b218c0-bdfe-4769-b521-fe90513d4c78/resume,Whitby,Ontario,,Canada,,2021-12-22T19:56:42.974Z,2022-02-15T20:03:29.171Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,www.linkedin.com/in/rupendra1998,"Computer vision, Data science, Deep learning, Machine learning, Natural language processing, Recommender systems, Time-series forecasting and modelling, Transfer learning",Graduate Degree (Masters),Entry Level (0-2 Years),Msc Computer Science,,Contract,"Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",OntarioTech University,True,True,True,True +e0fdfa40-5f3d-4b17-884e-fbec0c75ed00,a.gritsevskiy@mail.utoronto.ca,Andrew,Gritsevskiy,https://talenthub.vectorinstitute.ai/profiles/2504442/view_image/Screenshot_from_2021-09-22_23-59-04.png,Research assistant,"I'm a math student at UofT, interested in reinforcement learning, AI, quantum computing, and neuroscience.",+1 (781) 353-8889,,https://andrew.fi,,https://www.linkedin.com/in/agritsevskiy/,,True,False,,Toronto,Ontario,,Canada,,2021-09-10T17:42:44.073Z,2021-09-10T18:45:28.204Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/agritsevskiy/,"Machine learning, Reinforcement learning, Robotics",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Mathematics,Type of Work is More Important to me than Sector,"Internship, Co-op, Capstone Project","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True +63b218c0-bdfe-4769-b521-fe90513d4c78,rupendra.raavi@ontariotechu.net,Rupendra,Raavi,https://talenthub.vectorinstitute.ai/profiles/2624600/view_image/IMG_0040.jpeg,AI (Deep Learning),Deeply Interested to work on machine learning technologies and being specific on deep learning and computer vision.,,,,,https://www.linkedin.com/in/rupendra1998,,True,False,https://canadaai.jobboard.io/api/v1/profiles/63b218c0-bdfe-4769-b521-fe90513d4c78/resume,Whitby,Ontario,,Canada,,2021-12-22T19:56:42.974Z,2022-02-15T20:03:29.171Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,www.linkedin.com/in/rupendra1998,"Computer vision, Data science, Deep learning, Machine learning, Natural language processing, Recommender systems, Time-series forecasting and modelling, Transfer learning",Graduate Degree (Masters),Entry Level (0-2 Years),Msc Computer Science,,Contract,"Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",OntarioTech University,True,True,True,True +d247d244-7ebe-494e-ad8c-beb63dc717db,ramin_mardani@hotmail.com,Ramin,Mardani,https://talenthub.vectorinstitute.ai/profiles/1921636/view_image/0.jpeg,,,6477695570,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d247d244-7ebe-494e-ad8c-beb63dc717db/resume,Toronto,Ontario,,Canada,linkedin,2020-08-10T06:48:17.189Z,2020-08-10T06:48:17.409Z,False,False,Not Affiliated with Vector,No,Post Graduate Affiliate,NA,Already Graduated,,Mr.,https://www.linkedin.com/in/raminmardani/,,Graduate Degree (Masters),Mid-Level (3-5 Years),2,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project",,University of Toronto,True,True,True,True +6522d86c-a696-411a-91d6-ba53cd278bf6,ahmadf32@mcmaster.ca,Faraz,Ahmadi,https://talenthub.vectorinstitute.ai/profiles/1932185/view_image/FoucusedHeadshot.jpg,Data Scientist,,647-284-9609,,http://farazahmadi.github.io,,https://www.linkedin.com/in/farazahmadi/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6522d86c-a696-411a-91d6-ba53cd278bf6/resume,Hamilton,Ontario,,Canada,,2020-08-13T19:40:37.941Z,2021-01-25T15:44:10.843Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,www.linkedin.com/in/farazahmadi,,Graduate Degree (Masters),Entry Level (0-2 Years),Computational Science and Engineering,"Financial Services, Health, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract",,McMaster University,True,False,True,True +57a8cf36-a064-4d57-890a-dfbb688cd809,xiaoyu.yang94@hotmail.com,Xiaoyu,Yang,https://talenthub.vectorinstitute.ai/profiles/1588941/view_image/me_.png,Ph.D. student at Queen's University,"I'm a 3rd year Ph.D. student at Queen's University. My research mainly focuses on natural language processing, including natural language reasoning over structured and unstructured data, incorporating external knowledge into neural models for improving knowledge-grounded natural language reasoning, commonsense reasoning, etc.",6135311794,,https://arielsho.github.io/,,https://www.linkedin.com/in/xiaoyu-yang-019855170/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/57a8cf36-a064-4d57-890a-dfbb688cd809/resume,Kingston,Ontario,,Canada,linkedin,2020-01-07T19:59:44.007Z,2022-05-12T17:49:41.116Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,Xiaodan Zhu,Already Graduated,,Ms.,https://www.linkedin.com/in/xiaoyuyang6005/,"Deep learning, Interpretability, Natural language processing",Postgraduate Degree (PhD),Mid-Level (3-5 Years),PHD program,"Retail, Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True +7e36400c-1135-41a5-95a7-b2069ed020b6,martaskreta@cs.toronto.edu,Marta,Skreta,https://talenthub.vectorinstitute.ai/profiles/2544024/view_image/IMG_6464.jpg,"Computer Science PhD student, University of Toronto",Machine Learning for the Design of Self-Driving Labs; Generative Modelling for the Discovery of New Materials,,,,,https://www.linkedin.com/in/martaskreta/,martoskreto,True,False,https://canadaai.jobboard.io/api/v1/profiles/7e36400c-1135-41a5-95a7-b2069ed020b6/resume,,,,,,2021-10-12T16:55:55.838Z,2021-10-25T17:57:03.605Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Alán Aspuru-Guzik,Spring/Summer 2024 (April - July),,Miss.,https://www.linkedin.com/in/martaskreta/,"Computational biology, Computer vision, Generative modeling",Postgraduate Degree (PhD),Entry Level (0-2 Years),Computer Science,"Health, Software, Technology (Product Development), Type of Work is More Important to me than Sector",Internship,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +5cf19b12-4ad2-4b04-b59a-591cacc53e5c,mohammad.afshari2@mail.mcgill.ca,Mohammad,Afshari,https://talenthub.vectorinstitute.ai/profiles/1927903/view_image/0.jpeg,,,5146512452,,http://cim.mcgill.ca/~mohammad/,,https://www.linkedin.com/in/mohammad-afshari/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5cf19b12-4ad2-4b04-b59a-591cacc53e5c/resume,Montreal,Quebec,,Canada,linkedin,2020-08-11T23:40:04.919Z,2020-08-11T23:40:05.077Z,False,False,Connected to Another AI Institute,Yes,Other/Unsure,,Already Graduated,,Mr.,https://www.linkedin.com/in/mohammad-afshari/,,Postgraduate Degree (PhD),Entry Level (0-2 Years),Electrical and Computer Engineering,"Financial Services, Health, Software, Technology (Information and Media)","Full Time, Internship",,Other,True,True,True,True +6d8c5be9-d6b4-45c6-a853-616594aa71c2,willettisaak@gmail.com,Isaak,Willett,https://talenthub.vectorinstitute.ai/profiles/1875679/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-07-16T20:05:18.646Z,2020-07-16T20:05:18.882Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/isaak-willett/,,,,,,,,,True,True,True,True +103a576e-8f38-4ad5-a356-3b6897887eab,wansong.lee@utoronto.ca,Wan Song,Lee,https://talenthub.vectorinstitute.ai/profiles/1868739/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-07-12T20:47:47.245Z,2020-07-12T20:47:47.464Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/wansonglee/,,,,,,,,,True,False,True,True +fd688d63-a238-4768-857f-9b089d57f751,uzairmahmed@gmail.com,Uzair,Ahmed,https://talenthub.vectorinstitute.ai/profiles/2123838/view_image/0.jpeg,Computer (w/ Software Option) Engineering Student,"3rd Year Computer Engineering Student with a passion for Machine Learning, Full Stack Development, Internet of Things, and Cloud Infrastructures. ",6478793355,,https://www.uzairmahmed.com,,https://www.linkedin.com/in/uzairmahmed/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/fd688d63-a238-4768-857f-9b089d57f751/resume,Toronto,Ontario,,Canada,linkedin,2020-11-06T03:31:04.963Z,2020-11-06T03:31:05.237Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,Applying through Google Jobs,Mr.,https://www.linkedin.com/in/uzairmahmed/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Engineering (w/ Software Option),"Software, Type of Work is More Important to me than Sector","Internship, Co-op",,Ryerson University,True,False,True,True +48566e48-d991-42f1-a8a4-37bf9405ef37,amanda.chan@sunlife.com,Amanda,Chan,https://talenthub.vectorinstitute.ai/profiles/2696863/view_image/selfie.jpg,Client Digital Adoption Specialist,An analytics professional helping teams leverage data and develop innovative strategies to monetize growth opportunities. Her inspiration is derived from pioneering and pushing innovation in a continuous improvement initiatives via an analytics-first mindset. ,6138908966,,,,https://linkedin.com/in/amandachan31/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/48566e48-d991-42f1-a8a4-37bf9405ef37/resume,Toronto,Ontario,,Canada,,2022-02-18T15:44:36.179Z,2022-02-18T15:44:36.212Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ali Taiyeb,Winter 2023 (December 2022 - March 2023),,Miss.,https://linkedin.com/in/amandachan31/,"Data science, Gaussian processes, Machine learning, Natural language processing, Time-series forecasting and modelling",Graduate Degree (Masters),Mid-Level (3-5 Years),Masters of Management Analytics,"Education, Financial Services, Professional Services (e.g Consulting), Technology (Product Development)","Full Time, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Product/Project Manager",Queen's University,True,False,True,True +08eb3841-25ce-4470-b2c0-2947cfd8f097,nilesjessie047@gmail.com,Jessie,Niles,https://talenthub.vectorinstitute.ai/profiles/2143446/view_image/0.jpeg,Professional Athlete turned Entrepreneur,"My passion is to innovate how to use tools and technology to empower people to achieve excellence. I bring my high-performance mindset and lessons learned from sport beyond the court into my post-sports career. I am futuristic and inspired by what 'could be'. I am an achiever, a competitor, a great teammate and I love to work hard. I am inquisitive with a great desire to learn and continuously improve. +I have recently retired as a professional volleyball player and a member of the Team Canada Women's Volleyball Team. I am excited to be starting my Global Master of Management Analytics at the Smith School of Business at Queen's University starting in January 2021. ",,,http://www.getreadyinfive.com,,https://www.linkedin.com/in/jessie-niles/,,True,False,,Calgary,Alberta,,Canada,linkedin,2020-11-26T18:36:16.369Z,2020-11-26T18:36:16.600Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mrs.,https://www.linkedin.com/in/jessie-niles/,,Graduate Degree (Masters),Entry Level (0-2 Years),Global Master of Management Analytics,"Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Co-op, Contract, Capstone Project",,Queen's University,True,True,True,True +0e51f586-208a-4c8b-81e2-496ec7ca06a6,m.rasooli.j@gmail.com,Maral,Rasoolijaberi,https://talenthub.vectorinstitute.ai/profiles/1558273/view_image/0.jpeg,Computer Vision/Machine Learning Scientist,,5194659975,,,,https://www.linkedin.com/in/maralrasooli,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0e51f586-208a-4c8b-81e2-496ec7ca06a6/resume,Waterloo,Ontario,,Canada,linkedin,2019-12-09T18:50:39.140Z,2022-04-21T00:33:32.616Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,H.R. Tizhoosh,Already Graduated,,Miss.,https://www.linkedin.com/in/maralrasooli/,"Computer vision, Deep learning, Machine learning, Self-supervised learning, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),M.A.Sc.,"Financial Services, Health, Software, Technology (Information and Media), Type of Work is More Important to me than Sector",Full Time,"Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Waterloo,True,False,True,True +bd8f897a-10d8-4287-a689-bd9d452f7917,krodri06@uoguelph.ca,Kaitlyn,Rodriguez,https://talenthub.vectorinstitute.ai/profiles/2504491/view_image/kaitgradpic2.jpg,MSc Bioinformatics student,,,,,,,,True,False,,,,,,,2021-09-10T17:42:54.066Z,2021-09-18T01:28:04.172Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Miss.,N/A,"Bioinformatics, Computational biology, Computer vision",Graduate Degree (Masters),Entry Level (0-2 Years),MSc Bioinformatics,Type of Work is More Important to me than Sector,Internship,Other ,University of Guelph,True,False,True,True +b860ee0c-d262-4955-a41d-37b340f6bdf4,thuanvd@ryerson.ca,Duc Thuan,Vo,https://talenthub.vectorinstitute.ai/profiles/2510452/view_image/1594367158036.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-09-15T14:38:49.214Z,2021-09-15T14:38:49.372Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/duc-thuan-vo-8007561ab/,,,,,,,,,True,True,True,True +303caa30-2a4c-4e41-9cc5-bce6686052ce,bilalmehar381@gmail.com,Bilal,Ahmed,https://talenthub.vectorinstitute.ai/profiles/2691829/view_image/1634568274374.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-02-15T08:19:47.940Z,2022-02-15T08:19:48.342Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/bilalahmed381/,,,,,,,,,True,False,True,True +dc240514-f909-4ed4-a8b2-d678db00276f,kanavsngla@gmail.com,Kanav,Singla,https://talenthub.vectorinstitute.ai/profiles/2660681/view_image/1596099398199.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-01-24T00:48:29.654Z,2022-01-24T00:48:30.025Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/kanav-singla-927946171/,,,,,,,,,True,True,True,True +63afacd1-82b2-4474-9330-b0b9195ef7fc,isaac.chan@mail.mcgill.ca,Isaac,Chan,https://talenthub.vectorinstitute.ai/profiles/2507862/view_image/1537235995393.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-09-13T18:39:40.013Z,2021-09-13T18:39:40.223Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/chan-isaac-ezw/,,,,,,,,,True,True,True,True +aa66950d-1124-45e3-83f2-6ecb80f00cd9,stailick.wang@mail.utoronto.ca,Shuo,Wang,https://talenthub.vectorinstitute.ai/profiles/2685023/view_image/1516780742214.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-02-09T22:15:20.299Z,2022-02-09T22:15:20.758Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/shuow/,,,,,,,,,True,True,True,True +c1b70de8-ec36-454f-9501-cb5f270784c6,jakobzerbs@gmail.com,Jakob,Zerbs,https://talenthub.vectorinstitute.ai/profiles/2764604/view_image/1609385552304.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-04-11T19:04:10.533Z,2022-04-11T19:04:10.939Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/jakob-zerbs/,,,,,,,,,True,False,True,True +72310e5a-2182-4b57-90ab-f69494cfddfb,liamtrclose@gmail.com,Liam,Close,https://talenthub.vectorinstitute.ai/profiles/2120092/view_image/0.jpeg,Artificial Intelligence Graduate Student,"Below is a short summary of my experience: +I have completed my Master's of Computer Engineering with a concentration in Artificial Intelligence with my final project paper in Fraud Detection in Stock Market Data being published by the Journal of Intelligent Learning Systems and Applications +I have 2 years experience as a Solutions consultant for multiple clients creating efficient and effective ETL pipelines +I have 16 months of development experience in C#, Java and SQL from Coop positions through my Bachelor of Computer Systems Engineering",9058015275,,,,https://www.linkedin.com/in/liam-close-660466a6/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/72310e5a-2182-4b57-90ab-f69494cfddfb/resume,Toronto,Ontario,,Canada,linkedin,2020-11-02T14:38:00.343Z,2020-11-05T17:07:07.089Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/liam-close-660466a6/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Engineering with concentration in Artificial Intelligence,"Financial Services, Health, Software, Technology (Product Development)","Full Time, Contract",,Ryerson University,True,False,True,True +9fb30afb-a023-4046-870d-8d099eaabc34,kkhushwa@uwo.ca,Khushwant,Rai,https://talenthub.vectorinstitute.ai/profiles/2110725/view_image/kr2.jpg,ML Research Graduate Student | Seeking Full-Time ML/Software Engineer ,"I am pursuing research in Machine Learning at Software Lab in the ECE, Software department at Western University. My research focuses on the implementation of Machine Learning in the field of Anomaly Detection. Apart from this, I have entrepreneurial & leadership experience in a social innovation-based startup working on affordable technologies for people who are visually impaired. As a head of research and development, I have worked on the Software development of Multilingual Text to Braille Conversion Software. Furthermore, a six-month internship at Slingshot Product Development Company, Lawrenceville, GA USA gave me an opportunity to gather experience in creative problem-solving in business client projects, working with global teams, and making critical decisions. ",,,https://khushwantrai.com/,,https://www.linkedin.com/in/khushwant-rai-188b65a4/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9fb30afb-a023-4046-870d-8d099eaabc34/resume,London,Ontario,,Canada,,2020-10-23T13:26:42.166Z,2020-10-25T01:27:02.659Z,False,False,Recognized Masters Program,Yes,Student or Postdoc of a Vector Faculty Member,Katarina Grolinger,Spring/Summer 2021,,Mr.,https://www.linkedin.com/in/khushwant-rai-188b65a4/,,Graduate Degree (Masters),Entry Level (0-2 Years),"ECE, Software","Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,,Western University,True,True,True,True +2a159746-7338-4aab-918c-304ef57b64c8,tamizh3110@gmail.com,Tamizh Selvan,Venkatesan,https://talenthub.vectorinstitute.ai/profiles/1732032/view_image/0.jpeg,Masters Graduate,,6477453110,,,,https://www.linkedin.com/in/tamizhselvan-venkatesan/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2a159746-7338-4aab-918c-304ef57b64c8/resume,Mississauga,Ontario,,Canada,linkedin,2020-04-30T17:08:06.310Z,2020-04-30T17:08:06.522Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Mark Wineberg,Already Graduated,,Mr.,https://www.linkedin.com/in/tamizhselvan-venkatesan/,,Graduate Degree (Masters),,Computer Science,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Contract, Capstone Project",,University of Guelph,True,True,True,True +e5653cda-e714-48b1-9e8e-6dae777a3dec,ndey96@gmail.com,Nolan,Dey,https://talenthub.vectorinstitute.ai/profiles/1863304/view_image/0.jpeg,MASc Candidate in Systems Design Engineering,,,,http://ndey96.github.io,,https://www.linkedin.com/in/nolandey/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e5653cda-e714-48b1-9e8e-6dae777a3dec/resume,,,,,linkedin,2020-07-08T16:42:25.591Z,2020-11-05T15:26:37.814Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Graham Taylor,Already Graduated,,Mr.,https://www.linkedin.com/in/nolandey/,,Graduate Degree (Masters),Mid-Level (3-5 Years),MASc in Systems Design Engineering,,"Internship, Contract",,University of Waterloo,True,False,True,True +1b6c952d-1696-44c0-b10a-271d78056f79,j.eric.t.taylor@gmail.com,Eric,Taylor,https://talenthub.vectorinstitute.ai/profiles/2115258/view_image/0.jpeg,,,,,https://jericttaylor.wixsite.com/mysite,,https://www.linkedin.com/in/eric-taylor-815049156/,jericttaylor,True,False,https://canadaai.jobboard.io/api/v1/profiles/1b6c952d-1696-44c0-b10a-271d78056f79/resume,Toronto,Ontario,,Canada,linkedin,2020-10-28T13:27:14.815Z,2020-10-28T13:27:15.029Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Graham Taylor,Already Graduated,,Dr.,https://www.linkedin.com/in/eric-taylor-815049156/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Cognitive Psychology,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Co-op, Contract",,Other,True,False,True,True +61cf17e8-e906-4e84-93c4-265adc25c42f,20bsc3@queensu.ca,Bassel,Safwat,https://talenthub.vectorinstitute.ai/profiles/2117619/view_image/unnamed.jpg,"PhD Student @ School of Computing, Queen's University",,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/61cf17e8-e906-4e84-93c4-265adc25c42f/resume,Kingston,Ontario,,Canada,,2020-10-30T15:30:41.899Z,2020-10-30T17:34:58.065Z,False,False,Vector Scholarship Recipient,Yes,Post Graduate Affiliate,"School of computing, Queens University",Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/basselsafwat/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),School of Computing,,"Full Time, Internship, Co-op, Contract, Capstone Project",,Queen's University,True,True,True,True +47472751-165d-4005-b172-b216a5408b5a,mfarooq28@gmail.com,Muhammad,Farooq,https://talenthub.vectorinstitute.ai/profiles/1646910/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-02-18T05:26:03.088Z,2020-02-18T05:26:03.260Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,No,Already Graduated,I am interested to join Vector Institute,Mr.,Not Found,,Graduate Degree (Masters),,Computer Science,Technology (Information and Media),Internship,,Other,True,True,True,True +c6fa78fd-afb0-4874-ba72-17c79e06aded,e.mirshekari@gmail.com,Ellie,Mirshekari,https://talenthub.vectorinstitute.ai/profiles/1649320/view_image/0.jpeg,,,,,,,https://www.linkedin.com/in/Ellie-Mirshekari,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c6fa78fd-afb0-4874-ba72-17c79e06aded/resume,,,,,linkedin,2020-02-20T19:27:37.499Z,2020-02-20T19:27:37.800Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,I am keen to join Vector Institute team.,Ms.,https://www.linkedin.com/in/Ellie-Mirshekari,,Graduate Degree (Masters),,Scientific Computing,"Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op, Contract, Capstone Project",,Other,True,True,True,True +d8f27b92-9d55-4c69-b4fd-1f5bf7861f21,koosha.g@ualberta.ca,Koosha,"Golmohammadi, PhD",https://talenthub.vectorinstitute.ai/profiles/1661934/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-03-05T03:05:50.988Z,2020-03-05T03:05:51.243Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/kooshag/,,,,,,,,,True,,True,True +2beefac2-28e3-452c-9aae-d01ac1f41ad1,pastor.teen.awo@gmail.com,Ayodeji,Awoneye,https://talenthub.vectorinstitute.ai/profiles/1679602/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-03-18T13:37:33.589Z,2020-03-18T13:37:33.776Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/ayodeji-awoneye-6b5821103/,,,,,,,,,True,True,True,True +fc5a47ce-881f-471d-8f55-1bf92e8f1ce4,ekeledirichukwu.nnorom@yahoo.com,Ekele,Nnorom,https://talenthub.vectorinstitute.ai/profiles/1643614/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-02-13T15:36:06.882Z,2020-02-14T15:17:15.856Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/ekeledirichukwunnorom/,,,,,,,,,True,False,True,True +2d9b2f83-bb11-4c0c-9dd1-ebc596c33d17,julia023@schulich.yorku.ca,Xueqing,Wang,https://talenthub.vectorinstitute.ai/profiles/1644766/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-02-14T19:42:50.944Z,2020-02-14T19:42:51.136Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/julia-xueqingwang/,,,,,,,,,True,True,True,True +b920228a-d93f-47f3-9660-bc36e360661b,chandan.s23@gmail.com,Chandan,Shivappa,https://talenthub.vectorinstitute.ai/profiles/2504485/view_image/124391.jpg,Project Manager,"Dynamic Project Manager of value-added transformation initiatives that helped various sectors fueled global growth, competitive advantage, and transformative change. Over 15 years of experience, with a focus on large-scale Digital Transformations, Management Consulting, Artificial Intelligence & Machine Learning and Lean Six Sigma. Excellent in strategic planning, program/ project management, and team leadership to drive business performance. Successful at managing worldwide teams, client relationships, and high-intensity situations in rapidly changing environments. +Specialized in delivering engagements and managing change in the banking and financial services, retail, utility, oil and gas, and automotive industries in North America, Europe, Middle East, APAC, and India. +",4372268505,,,,https://www.linkedin.com/in/chandys,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b920228a-d93f-47f3-9660-bc36e360661b/resume,Oshawa,Ontario,,Canada,,2021-09-10T17:42:53.578Z,2021-09-19T22:57:54.871Z,False,False,Recognized Masters Program,Yes,Post Graduate Affiliate,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/chandan-shivappa-707252bb,"Anomaly detection, Deep learning, Machine learning, Natural language processing, Statistical learning theory, Time-series forecasting and modelling, Unsupervised learning",Graduate Degree (Masters),Senior Level (5+ Years),Master of Management in Artificial Intelligence,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Product Development)","Full Time, Internship, Contract","Data Analyst, Machine Learning Engineer, Product/Project Manager",Queen's University,True,True,True,True +50f1a9e8-0ec8-459a-bdcb-4b5ec74be3d3,sourav.banerjee12@live.com,Sourav,Banerjee,https://talenthub.vectorinstitute.ai/profiles/1552159/view_image/0.jpeg,A Rotman MMA student and an experienced SAP BI developer looking for full-time opportunities in the Analytics space,"Sourav Banerjee is a current MMA student at the Rotman School of Management He has nearly three and a half years of experience in Infosys Limited as a Technology Analyst and has primarily worked on the SAP Business Intelligence domain. He was involved in the end-to-end implementation of data warehousing concepts and preparation of dashboards and reports for the C-level executives. Sourav has developed key business KPIs for his clients and ensured that the performance was optimized. He is a great team player and follows a methodical approach to each task. +In his free time, Sourav likes to play cricket, chess, read novels, ride a bicycle or engage in philately. After the completion of the MMA program, he wishes to solve various organizational challenges faced by businesses and start-ups in Toronto and Canada with his technical, analytical and decision-making skills. He hopes to be a Data Evangelist one day as he believes in the power of data and the insights that are hidden within.",+1 4372468615,,,,https://www.linkedin.com/in/sourav-banerjee19/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/50f1a9e8-0ec8-459a-bdcb-4b5ec74be3d3/resume,Toronto,Ontario,,Canada,linkedin,2019-12-04T14:24:34.834Z,2019-12-04T14:24:35.044Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/sourav-banerjee19/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management Analytics,"Financial Services, Manufacturing , Professional Services (e.g Consulting), Retail, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship",,University of Toronto,True,True,True,True +90d68b68-eced-4b9d-a276-f2a4da844aec,ylau1210@gmail.com,Yvonne,"Lau, CFA, PMP",https://talenthub.vectorinstitute.ai/profiles/1556046/view_image/0.jpeg,AI & Analytics Translator | Strategy & Product Director ,"• Business + technology hybrid - specialized in reimagining and transforming businesses, products, and processes +• Client + Customer-obsessed doer - Drove 20X+ growth building, marketing, and running a B2C digital advice FinTech platform +• Master storyteller – love structuring/solving problems, supported by data-driven insights and easy-to-understand visualizations +• Curious polymath - can quickly grasp any domain and topic, backed by skills gained during 12+ years in Global, Multi-sector Equity Research +• Expert in spotting opportunities and applying insights on customers, users, business models, processes, and industries",,,,,https://www.linkedin.com/in/ylau1210/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/90d68b68-eced-4b9d-a276-f2a4da844aec/resume,Toronto,Ontario,,Canada,linkedin,2019-12-07T20:23:08.132Z,2020-09-21T01:12:08.853Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/ylau1210/,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Management in Artificial Intelligence,"Financial Services, Health, Professional Services (e.g Consulting), Retail, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector",Full Time,,Queen's University,True,True,True,True +3f9d35c0-3110-48bf-84a2-a64edfd38b44,josephsmanza@gmail.com,Joseph,Manza,https://talenthub.vectorinstitute.ai/profiles/2174854/view_image/Manza_1.jpg,Experienced Manager in ML Implementation Strategy ,"Joseph is an Engineering and Master of Management Analytics graduate from the University of Toronto. His education, coupled with his work experience in the financial sector (focused in productivity improvement, through agile implementation of process re-engineering, automation, and machine learning), has equipped him with the technical skill set and business acumen to pursue a career in the business development/product management field. This career journey continues with his current position as a Product Owner at RBC Wealth Management",4168197411,,,,https://www.linkedin.com/in/josephmanza/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3f9d35c0-3110-48bf-84a2-a64edfd38b44/resume,Toronto,Ontario,,Canada,,2020-12-30T17:24:43.161Z,2022-04-18T22:11:24.952Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/josephmanza/,"Data science, Optimization, Robotics",Graduate Degree (Masters),Mid-Level (3-5 Years),Management Analytics,Type of Work is More Important to me than Sector,Full Time,Product/Project Manager,University of Toronto,True,False,True,True +7e08c65a-684a-4e17-8a8f-90ba24d42dc0,sunzm.xjtu@gmail.com,Zhimin,"Sun, Ph.D.",https://talenthub.vectorinstitute.ai/profiles/2131267/view_image/0.jpeg,,,412-218-9656,,,,https://www.linkedin.com/in/zhimin-sun-ph-d-98603836/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/7e08c65a-684a-4e17-8a8f-90ba24d42dc0/resume,New York,New York,,United States,linkedin,2020-11-13T17:23:27.190Z,2020-11-13T17:23:27.695Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,I am interested in and applying for Vector-recognized Master's programs and/or Vector Institute internships,Dr.,https://www.linkedin.com/in/zhimin-sun-ph-d-98603836/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Mechanical Engineering,Type of Work is More Important to me than Sector,"Full Time, Internship, Contract, Capstone Project",,Other,True,True,True,True +29451d83-bb7e-4cec-b705-f0bc5ff13ed7,clara.stoesser@gmail.com,Clara,Stoesser,https://talenthub.vectorinstitute.ai/profiles/2122584/view_image/0.jpeg,,,4165757420,,,,https://www.linkedin.com/in/clara-stoesser/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/29451d83-bb7e-4cec-b705-f0bc5ff13ed7/resume,Toronto,Ontario,,Canada,linkedin,2020-11-04T20:12:32.998Z,2020-11-04T20:12:33.244Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,Timothy Chan,Already Graduated,,Ms.,https://www.linkedin.com/in/clara-stoesser/,,Graduate Degree (Masters),Entry Level (0-2 Years),Industrial Engineering,"Education, Health, Public Administration (i.e Gov't)",Full Time,,University of Toronto,True,False,True,True +5420b46d-76fb-4ff0-80c3-c36e70c109bd,amirmohammadkz@gmail.com,amirmohammad,kazemeini,https://talenthub.vectorinstitute.ai/profiles/2145626/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-11-29T15:08:37.385Z,2020-11-29T15:08:37.666Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/amirmohammadkz/,,,,,,,,,True,False,True,True +bae70d7f-2de1-4ef9-8f50-0d7e4c6ac4f8,robin@robinsingh.co,Rajvinder (Robin),Singh,https://talenthub.vectorinstitute.ai/profiles/2147636/view_image/1604318218666.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-12-01T16:05:20.729Z,2020-12-01T16:05:21.035Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/robinsingh91/,,,,,,,,,True,True,True,True +a116074f-99a1-43a3-8f07-3b168079138c,ayushdayani456@gmail.com,Ayush,Dayani,https://talenthub.vectorinstitute.ai/profiles/2122390/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-11-04T16:21:20.796Z,2020-11-04T16:21:21.064Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/ayush-dayani-ba6a11146/,,,,,,,,,True,True,True,True +3aafcef0-0553-4079-9c8d-afa72f001819,thvadora@gmail.com,Thomas,Vadora,https://talenthub.vectorinstitute.ai/profiles/2167007/view_image/1569160781988.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-12-18T19:33:59.848Z,2020-12-18T19:34:00.089Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/thvadora/,,,,,,,,,True,True,True,True +514d205b-29ae-4f5b-8ffa-46f0b025e2b7,kim.ly2704@gmail.com,Kim Kim,Ly,https://talenthub.vectorinstitute.ai/profiles/2121098/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-11-03T12:14:17.082Z,2020-11-03T12:14:17.238Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/kimkimly123/,,,,,,,,,True,True,True,True +39715357-1f5d-4488-8a09-9e08e6bc0e5b,jvdahemad@gmail.com,Javed,Ahemad,https://talenthub.vectorinstitute.ai/profiles/2167149/view_image/1558553017263.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-12-19T03:00:01.831Z,2020-12-19T03:00:02.140Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/javedahemad/,,,,,,,,,True,True,True,True +ddc17cb3-4abf-4f88-915e-701e26958238,sunainahuj@gmail.com,Sunaina,Ahuja,https://talenthub.vectorinstitute.ai/profiles/1549503/view_image/0.jpeg,Lead Analyst | Project Manager | Data Visualization Consultant | Personal Branding Advisor | 2019 MMA Candidate,"I am an analytics professional with over 5 years of project management and internal consulting experience in a variety of industries including insurance, retail, telematics, and government. I like creating and designing dashboards that help in telling stories. +Is your organization moving to an agile way of doing business and looking to you to provide them with valuable insights from their existing data? Can’t figure out where to begin? Let me make it easy for you! +My goal is to provide dashboard designing and predictive analytics services that explain your company’s key performance indicators, educate your internal stakeholders in making better decisions, and improve workflow management across business functions; created in an easy to follow, user-friendly fashion. +My most valuable projects have been within risk management, transportation, and operations, but my educational background and work experience have also prepared me to design and implement reporting and dashboard solutions for firms in different industries; combining business and data analytics. I incorporate communications and data visualization best practices to build your project portfolio while improving your business unit’s operational efficiency! +I am currently studying for a Master of Management Analytics degree, and I have a Bachelor’s degree in Commerce. I am dedicated to professionalism and customer service, and I enjoy meeting new people and working hard to help them reach their professional goals! +Let my passion and creativity make your company - and life - easier, so you can focus on seizing opportunities! ",6473903007,,,,https://www.linkedin.com/in/sunainahuja/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ddc17cb3-4abf-4f88-915e-701e26958238/resume,Brampton,Ontario,,Canada,linkedin,2019-12-02T22:31:21.513Z,2019-12-02T23:25:09.702Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mrs.,https://www.linkedin.com/in/sunainahuja/,,,,Master of Management Analytics,"Retail, Telecommunications","Full Time, Capstone Project",,Queen's University,True,True,True,True +3a04daeb-c8c2-4c23-80bf-c167e63433b1,mjohnstone@atb.com,Mitch,"Johnstone, CFA",https://talenthub.vectorinstitute.ai/profiles/1549564/view_image/0.jpeg,Endlessly Curious,"I'm a Product Manager at a regional bank in Alberta. My focus is creating personalized experiences for our customers through the use of AI. +Current Projects: +Predict when customers will reach out, before it happens, and provide personalized insights to allow them to self serve +Integrate mental health and wellness resources into our interactive chat bot. Allow our team members to access these resources in times of need and, using natural language processing, ensure our interface serves them the correct information",4033893266,,http://www.aiformanagement.com,,https://www.linkedin.com/in/mitch-johnstone-cfa-045a365a/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3a04daeb-c8c2-4c23-80bf-c167e63433b1/resume,Toronto,Ontario,,Canada,linkedin,2019-12-02T23:20:14.958Z,2019-12-02T23:20:15.197Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/mitch-johnstone-cfa-045a365a/,,,,MMAI,"Financial Services, Telecommunications","Full Time, Contract, Capstone Project",,Queen's University,True,True,True,True +00c704fc-ce17-4320-9fab-70628cfef7c3,marisettyrohith@yahoo.com,Rohith,Marisetty,https://talenthub.vectorinstitute.ai/profiles/1570301/view_image/0.jpeg,Master's student at Ontario Tech University,"I am a graduate student at Ontario Tech University pursuing my Masters in Information Technology and Security - Artificial Intelligence. Also graduated from Vellore Institute of Technology with a Masters in Software Engineering. +I have worked for nearly 13 months (1 year) as an Assistant System Engineer (Full-Stack Developer) at Tata Consultancy Services. I have strong programming skills with expertise in Java, AngularJs and front-end technologies. +Looking forward to working with an organization that provides me with an opportunity to achieve the goals of an organization and thereby develop overall growth of my technical and interpersonal skills.",+1 289 688 8694,,,,https://www.linkedin.com/in/rohith-marisetty-377823150,,True,False,https://canadaai.jobboard.io/api/v1/profiles/00c704fc-ce17-4320-9fab-70628cfef7c3/resume,Oshawa,Ontario,,Canada,linkedin,2019-12-19T23:22:22.237Z,2019-12-19T23:22:22.416Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/rohith-marisetty-377823150,,,,Master of Information Technology and Security,,"Internship, Co-op",,OntarioTech University,True,True,True,True +e9a6ce53-25c9-4be7-b992-beb9c5de23ea,deepika97surabhi@gmail.com,Sai Deepika,Surabhi,https://talenthub.vectorinstitute.ai/profiles/1561198/view_image/0.jpeg,,"Student at Lakehead University | ML Enthusiast | Skilled in SQL, R, Python, and OpenCV",8073577518,,,,https://www.linkedin.com/in/sai-deepika-surabhi-4627b6171/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e9a6ce53-25c9-4be7-b992-beb9c5de23ea/resume,,Ontario,,Canada,linkedin,2019-12-11T20:06:54.006Z,2019-12-13T05:04:16.806Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Ms.,https://www.linkedin.com/in/sai-deepika-surabhi-4627b6171/,,,,Computer Science,"Financial Services, Retail, Telecommunications",Full Time,,Lakehead University,True,True,True,True +ce00d36c-f674-445a-814c-5925b3ed5b94,bita.houshmand@ryerson.ca,Bita,Houshmand,https://talenthub.vectorinstitute.ai/profiles/1563065/view_image/IMG_8686.JPG,Data Scientist ,,4168208087,,https://github.com/bita-github,,https://www.linkedin.com/in/bitahoushmand/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ce00d36c-f674-445a-814c-5925b3ed5b94/resume,Toronto,Ontario,,Canada,,2019-12-13T15:14:06.378Z,2021-04-07T14:02:46.098Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/bitahoushmand/,"Anomaly detection, Bioinformatics, Computer vision, Data science, Deep learning, Healthcare and/or medical imaging, Machine learning, Natural language processing, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Data Science & Analytics,"Financial Services, Health, Public Administration (i.e Gov't), Retail, Technology (Information and Media)","Full Time, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Ryerson University,True,True,True,True +3aba5016-c7a7-413c-ac89-4f05819199ff,maxshowarth@gmail.com,Max,Howarth,https://talenthub.vectorinstitute.ai/profiles/1563236/view_image/0.jpeg,Experienced AI Leader,"Max is a managing consultant in IBM Canada’s Advanced Analytics practice where he focuses on the application of AI technologies in the natural resources industry. A geological engineer by training - he brings a unique set of skills to IBM’s data science teams and their projects. +Max acts as the product owner for several key mineral exploration systems including Watson for Geology while also conducting technological research for his clients with a special interest in image recognition and GIS systems. ",4163479320,,,,https://www.linkedin.com/in/maxhowarth/,,True,False,,Toronto,Ontario,,Canada,linkedin,2019-12-13T18:20:01.438Z,2019-12-13T18:20:01.719Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Queen's University,,,Mr.,https://www.linkedin.com/in/maxhowarth/,,,,MMAI 2020,"Health, Retail, Telecommunications","Full Time, Contract, Capstone Project",,Queen's University,True,False,True,True +6b77aadf-0b6b-482a-bf0d-5235a627248c,pedropenzuti@gmail.com,Pedro,Penzuti Pacheco,https://talenthub.vectorinstitute.ai/profiles/2545200/view_image/1599420733667.jpeg,Experienced Analyst,Senior analyst developing and implementing machine learning models in the health insurance space. I'm interested in improving communication through data visualization and driving efficiency through the use of effective predictive modeling strategies.,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6b77aadf-0b6b-482a-bf0d-5235a627248c/resume,,,,,linkedin,2021-10-13T16:05:07.739Z,2021-10-13T16:05:07.924Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,,Mr.,https://www.linkedin.com/in/pedropenzuti/,"Bioinformatics, Data science, Machine learning",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Genetics,"Financial Services, Health, Type of Work is More Important to me than Sector",Full Time,"Data Analyst, Data Engineer, Data Scientist, Machine Learning Researcher/Scientist ",Other,True,True,True,True +f8d1eebf-09b7-4c12-941e-81ce86634739,peterpaullake@gmail.com,Peter,Lake,https://talenthub.vectorinstitute.ai/profiles/2683401/view_image/1620408012098.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-02-08T23:23:03.319Z,2022-02-08T23:23:03.817Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Winter 2023 (December 2022 - March 2023),,Mr.,N/A,Computer vision,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Physics,,Internship,Machine Learning Researcher/Scientist ,Other,True,False,True,True +1b45ee91-30ec-4edf-933e-193b819d6f88,charlesrogerkeenan@gmail.com,Charles,Keenan,https://talenthub.vectorinstitute.ai/profiles/1804036/view_image/0.jpeg,Interoperability Specialist,"Proactive and committed Life Sciences university graduate and Master of Health Informatics candidate, seeking a position where my strong organizational, communication, and information technology skills, combined with broad experiences in healthcare and biomedical roles will be well utilized. +Experienced in leveraging skills for the development and management of health research studies with technical expertise in computer programming and database management. Holds business acumen with exceptional critical thinking and analytical skills to assess and manage health care records. Adept in all aspects of academic research and experimental research methods with exceptional critical thinking and analytical skills. Demonstrates expertise in giving oral presentations and communicating research findings. ",6132986634,,,,https://www.linkedin.com/in/charles-keenan/,,True,False,,Toronto,Ontario,,Canada,linkedin,2020-05-26T15:36:53.934Z,2021-01-06T14:17:05.597Z,False,False,Vector Scholarship Recipient,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/charles-keenan/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Health Informatics,"Health, Software, Technology (Information and Media)","Full Time, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Product/Project Manager, Other ",University of Toronto,True,True,True,True +c73d270b-c265-4100-b540-4b28e025a710,twadiwal@lakeheadu.ca,Tejas,Wadiwala,https://talenthub.vectorinstitute.ai/profiles/1561090/view_image/PA294379.jpeg,Application Programmer Analyst (Co-op) at Ontario Ministry of Education | Grad Student at Lakehead University,,8073577932,,,,https://www.linkedin.com/in/tejaswadiwala/,tejaswadiwala,True,False,https://canadaai.jobboard.io/api/v1/profiles/c73d270b-c265-4100-b540-4b28e025a710/resume,Thunder Bay,Ontario,,Canada,,2019-12-11T18:35:29.830Z,2019-12-15T21:20:37.748Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/tejaswadiwala/,,,,Computer Science,"Financial Services, Retail, Telecommunications",Full Time,,Lakehead University,True,False,True,True +5d2724a9-3dae-412d-9441-0aaea3529422,prerak22patel@gmail.com,Prerak Jayeshkumar,Patel,https://talenthub.vectorinstitute.ai/profiles/1553752/view_image/F9563D05-E054-4D1C-AD33-1CC8FAE2C76D.jpeg,,,,,,,,,True,False,,Thunder Bay,Ontario,,Canada,,2019-12-05T14:38:34.928Z,2019-12-05T14:38:34.966Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,Not Found,,,,Master’s in Computer Science,"Financial Services, Telecommunications","Full Time, Internship, Co-op, Capstone Project",,Lakehead University,True,True,True,True +88bfdec6-5834-4154-8d6c-835598f66ff7,andrei.ioan.barsan@gmail.com,Andrei,Bârsan,https://talenthub.vectorinstitute.ai/profiles/2113422/view_image/0.jpeg,PhD student researching learning for robot state estimation and autonomous vehicles,Please see andreibarsan.github.io and github.com/AndreiBarsan for recent papers and other technical contributions.,,,https://andreibarsan.github.io,,https://www.linkedin.com/in/barsan/,,True,False,,Toronto,Ontario,,Canada,linkedin,2020-10-26T19:03:58.459Z,2020-10-26T19:03:58.650Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Raquel Urtasun,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/barsan/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Science,"Construction or Infrastructure, Education, Health, Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +4ebfe2b5-34d6-4510-8548-d33cbaf5c682,mliuzzolino@gmail.com,Michael,Iuzzolino,https://talenthub.vectorinstitute.ai/profiles/2546894/view_image/1588625967247.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-10-14T17:14:59.337Z,2021-10-14T17:14:59.505Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/michael-iuzzolino-3a060696/,,,,,,,,,True,True,True,True +234c3c93-af18-4049-8676-0d39f54489b5,bansarihirpara@yahoo.com,Bansari,Hirpara,https://talenthub.vectorinstitute.ai/profiles/1562572/view_image/0.jpeg,,,,,,,,,True,False,,Thunder Bay,Ontario,,Canada,linkedin,2019-12-13T02:53:20.910Z,2019-12-13T02:53:21.092Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Ms.,https://www.linkedin.com/in/bansarihirpara/,,,,Msc. Computer Science,"Financial Services, Telecommunications",Full Time,,Lakehead University,True,True,True,True +c2f58b5c-6353-47f3-b4f4-6a6e109aa706,yujie.dong@ontariotechu.net,YUJIE,DONG,https://talenthub.vectorinstitute.ai/profiles/2808836/view_image/1610679501677.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-05-12T17:06:23.262Z,2022-05-12T17:06:23.825Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/yujiedong-it/,,,,,,,,,True,False,True,True +ff972295-4579-4983-9b33-bac550960061,gaklein2007@hotmail.com,Geoff,Klein,https://talenthub.vectorinstitute.ai/profiles/2998734/view_image/p1____linkedin..jpg,PhD Candidate,"I am a PhD candidate at the University of Toronto researching computer vision and medical image analysis. During this I have worked with both clinicians and researchers on developing novel tools to aid clinicians in quantifying vertebral stability of metastatically involved vertebrae. + +My current work is to quantify and predict vertebral stability of metastatically involved vertebrae using Convolution Neural Networks (CNNs) and 3D CT scans. These metastatically involved vertebrae are treated with Stereotactic Body Radiation Therapy (SBRT), a highly focused form of radiation treatment. However, a side effect is that it can cause nontraumatic vertebral fracture. Using CNNs, features can be extracted from the 3D CT images of the vertebra and overall spine to determine if a vertebra will undergo fracture. + +Through this work I have gained extensive knowledge of Python API’s for A.I. and deep learning (Numpy, Pytorch, Tensorflow and Keras, Pandas, Scikit-learn, etc.), as well as experience specific in medical imaging API’s (SimpleITK). To accommodate the large 3D images I also have experience with multiprocessing in Python. + +This work in A.I. and deep learning was achievable with the background with physics, mathematics and engineering from both my undergraduate and Master’s degrees. They provided me the fundamental knowledge necessary to tackle and adapt to the growing complex challenges facing society today. These degrees focused on mathematical modelling and required the ability to learn and grasp a variety of topics. This has allowed me to quickly learn new topics and skills and to apply them to real world scenarios. +",,,,,https://www.linkedin.com/in/geoff-klein/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ff972295-4579-4983-9b33-bac550960061/resume,Toronto,Ontario,,Canada,linkedin,2022-09-12T19:33:23.612Z,2022-10-01T16:01:32.070Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Anne Martel,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/geoff-klein/,"Computer vision, Deep learning, Machine learning",Postgraduate Degree (PhD),Senior Level (5+ Years),5,"Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Toronto,True,True,True,True +938ae2ea-065e-472d-88c3-a15be58838d0,faisal.habib@mail.utoronto.ca,Faisal,Habib,https://talenthub.vectorinstitute.ai/profiles/1550625/view_image/FaisalHabib.Headshot.UofT.Cropped.jpg,,"Results oriented professional with proven skills in management, product design & strategy, and analytics. Background in ML/AI, business management, and computer engineering. ",647-296-3178,,,,https://www.linkedin.com/in/faisal-a-habib,,True,False,https://canadaai.jobboard.io/api/v1/profiles/938ae2ea-065e-472d-88c3-a15be58838d0/resume,Toronto,Ontario,,Canada,,2019-12-03T15:55:43.815Z,2022-09-22T14:14:19.482Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/faisal-a-habib,,Graduate Degree (Masters),Senior Level (5+ Years),MSc Applied Computing (MScAC),"Education, Financial Services, Health, Professional Services (e.g Consulting)","Full Time, Contract","Machine Learning Researcher/Scientist , Product/Project Manager, Other ",University of Toronto,True,True,True,True +b2fdb63a-cad9-4536-b93b-5defa3104f6d,laurenzelko@gmail.com,Lauren,Zelko,https://talenthub.vectorinstitute.ai/profiles/2994693/view_image/1612198227678.jpeg,,,,,,,https://www.linkedin.com/in/laurenzelko,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b2fdb63a-cad9-4536-b93b-5defa3104f6d/resume,,,,,linkedin,2022-09-09T16:05:06.029Z,2022-09-17T17:49:40.347Z,False,False,Recognized Masters Program,Yes,,,Fall 2022 (August - November),Student in the MediCREATE program through Queens and Western University,Ms.,https://www.linkedin.com/in/laurenzelko/,"Bioinformatics, Healthcare and/or medical imaging, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Medical Biophysics,"Health, Professional Services (e.g Consulting), Technology (Information and Media)",Full Time,"Data Analyst, Data Scientist",Western University,True,True,True,True +966b8964-8366-48d3-8c42-2bebe9aa6b75,adam.renkosinski@protonmail.com,Adam,"Renkosinski, CHRP",https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,True,,,,,,linkedin,2021-05-11T14:50:46.140Z,2022-02-24T21:26:28.969Z,False,False,Internal Staff,Yes,,,Already Graduated,,Mr.,https://www.linkedin.com/in/adam-renkosinski/,,Undergraduate Degree (Bachelors),,,"Education, Telecommunications, Transportation",Full Time,"Data Analyst, Data Scientist, Machine Learning Researcher/Scientist ",York University,True,False,True,True +71ee015f-e09f-4421-b218-ddc3fe8a9726,rekka.vijayakumar@gmail.com,Rekka,Vijayakumar,https://talenthub.vectorinstitute.ai/profiles/2912337/view_image/1652581693041.jpeg,"Queens University Master of Management & Analytics candidate, Program Manager & Digital Transformation Consultant","Project manager, application modernization/cloud migration consultant. Data analytics and business management student with modeling and data-based decision-making abilities. 2023 MMA Candidate at Queens university, PMP, ACP, ITIL certified. +",+1 4374886199,,,,https://www.linkedin.com/in/rekka-vijayakumar-61a93025/,Rekka_V,True,False,https://canadaai.jobboard.io/api/v1/profiles/71ee015f-e09f-4421-b218-ddc3fe8a9726/resume,Toronto,Ontario,,Canada,linkedin,2022-07-19T19:20:08.487Z,2022-07-19T19:20:09.103Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Spring/Summer 2023 (April - July),,Ms.,https://www.linkedin.com/in/rekka-vijayakumar-61a93025/,"Data science, Natural language processing, Optimization",Graduate Degree (Masters),Senior Level (5+ Years),Masters of Management Analytics,,"Full Time, Internship, Co-op, Contract","Machine Learning Researcher/Scientist , Product/Project Manager, Other ",Queen's University,True,True,True,True +6176a98e-9a6e-4d7f-96ba-8365f901bcfe,devendrabansal2019.db@gmail.com,Devendra,Bansal,https://talenthub.vectorinstitute.ai/profiles/2969389/view_image/1650432485579.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-08-24T19:15:46.698Z,2022-08-24T19:15:47.486Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/devendra-bansal/,,,,,,,,,True,True,True,True +fd56345d-72e5-4337-97e0-47035888e5bf,dhaval.nevil@gmail.com,Dhaval,Patel,https://talenthub.vectorinstitute.ai/profiles/2869597/view_image/1653682803723.jpeg,,,6478398680,,,,https://linkedin.com/in/dhavalkumar-patel,,True,False,https://canadaai.jobboard.io/api/v1/profiles/fd56345d-72e5-4337-97e0-47035888e5bf/resume,Toronto,Ontario,,Canada,linkedin,2022-06-22T15:58:53.428Z,2022-06-22T16:15:44.604Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Chi-Guhn Lee,Spring/Summer 2023 (April - July),,Mr.,https://linkedin.com/in/dhavalkumar-patel,"Anomaly detection, Deep learning, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),Mechanical and Industrial Engineering,"Financial Services, Health, Manufacturing , Technology (Product Development)","Full Time, Contract","Business Analyst/Business Intelligence Analyst , Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",University of Toronto,True,True,True,True +1a8dc048-cf88-4e3f-a72a-ef8daf9c8179,fmansouri@ce.sharif.edu,farnam,mansouri,https://talenthub.vectorinstitute.ai/profiles/1804007/view_image/0.jpeg,,,,,https://farnammn.github.io/,,,FarnamMansouri,True,False,,,,,,linkedin,2020-05-26T15:18:37.073Z,2022-08-31T04:59:33.890Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/farnam-mansouri-0a1436156/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Masters of Science of Computer Science,Type of Work is More Important to me than Sector,"Internship, Co-op, Capstone Project","Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +fe832eef-404a-49d1-a3f5-b08eae5fe0d4,jrchalaturnyk@gmail.com,Jonathan,Chalaturnyk,https://talenthub.vectorinstitute.ai/profiles/2874358/view_image/1634775144403.jpeg,Machine Learning / Data Scientist,,7809381295,,,,https://www.linkedin.com/in/jonathan-chalaturnyk/,,True,False,,Montreal,Quebec,,Canada,linkedin,2022-06-25T22:08:35.065Z,2022-06-25T22:08:35.554Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/jonathan-chalaturnyk/,"Healthcare and/or medical imaging, Machine learning, Physics",Graduate Degree (Masters),Entry Level (0-2 Years),Computational Mathematics,"Construction or Infrastructure, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development), Transportation","Full Time, Contract","Data Scientist, Machine Learning Researcher/Scientist ",University of Waterloo,True,True,True,True +17df9270-4c44-42b2-95b5-e4eb0f4a4bcf,parisasl.99@gmail.com,Parisa,Salmani,https://talenthub.vectorinstitute.ai/profiles/2868751/view_image/1634324997414.jpeg,,,,,,,https://www.linkedin.com/in/parisasalmani/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/17df9270-4c44-42b2-95b5-e4eb0f4a4bcf/resume,,,,,linkedin,2022-06-22T06:28:21.265Z,2022-06-22T06:28:21.849Z,False,False,Vector Scholarship Recipient,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2024 (April - July),,Ms.,https://www.linkedin.com/in/parisasalmani/,"Deep learning, Machine learning, Recommender systems, Representation learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,Type of Work is More Important to me than Sector,"Internship, Co-op","Machine Learning Engineer, Machine Learning Researcher/Scientist ",OntarioTech University,True,True,True,True +6780a410-253b-40b5-b1d9-64aa52da622f,onibudo.b@gmail.com,Olabamidele,Onibudo,https://talenthub.vectorinstitute.ai/profiles/2910097/view_image/1519242891841.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-07-18T15:44:41.374Z,2022-07-18T15:44:41.889Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/olabamidele-onibudo-019035a8/,,,,,,,,,True,True,True,True +9410386a-74ef-46d2-8978-f5d84aba2557,andrewvk7@gmail.com,Andrew,Katoch,https://talenthub.vectorinstitute.ai/profiles/2512253/view_image/1607046573892.jpeg,New graduate looking to work in machine learning with an interest in automotive!,,5199192797,,,,https://www.linkedin.com/in/andrew-katoch-67888b118/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9410386a-74ef-46d2-8978-f5d84aba2557/resume,,,,,linkedin,2021-09-16T15:20:49.994Z,2022-09-20T20:52:02.701Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Other/Undetermined,,Mr.,https://www.linkedin.com/in/andrew-katoch/,"Computer vision, Fairness, Machine learning",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),MSc. Computer Science in Artificial Intelligence,"Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Contract","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Western University,True,True,True,True +1af94a07-763c-451a-8759-233eb3b035b0,tayooduyemi1@gmail.com,Temitayo,Oduyemi,https://talenthub.vectorinstitute.ai/profiles/3037604/view_image/1588645215171.jpeg,," am a 5th year undergraduate computer engineering student at Queen's University. My journey has taken me from being the youngest of an immigrant family to being Managing Director of Canada's largest undergraduate AI club, QMIND. I'm conducting an undergraduate research thesis with Dr. Matthew Pan concerning the detection of handover intent in human-robot interactions. I'm interested in ML in human-robot interactions and machine learning/deep learning in general. + +",6476276064,,,,https://www.linkedin.com/in/temitayo-oduyemi/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/1af94a07-763c-451a-8759-233eb3b035b0/resume,,,,,linkedin,2022-10-09T02:04:40.775Z,2022-10-09T02:04:41.266Z,False,False,Connected to Vector Research,Yes,Other/Unsure,Murat A. Erdogdu,Spring/Summer 2023 (April - July),ML Black & Indigenous Program Cohort Member,Mr.,https://www.linkedin.com/in/temitayo-oduyemi/,"Adversarial learning, Bioinformatics, Computational biology, Computer vision, Data science, Deep learning, Game theory, Generative modeling, Law, ethics and policy, Machine learning, Natural language processing, Online learning, Recommender systems, Reinforcement learning, Robotics, Time-series forecasting and modelling",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Engineering,"Health, Software, Technology (Product Development)",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Queen's University,True,True,True,True +a9b301dc-27f3-48dc-a5b7-9d887aef6f88,balagopal.unnikrishnan@mail.utoronto.ca,Balagopal,Unnikrishnan,https://talenthub.vectorinstitute.ai/profiles/3010898/view_image/134268190_3847887578575297_7578366685712223512_n.jpg,PhD Student @ CS - UofT | Ex - AI Engineer | Computer Vision / HealthTech,"* PhD Student focusing on AI in Healthcare +* Proficient in prototyping, deploying and evaluating research and industry pipelines. +* Previous industry experience in AI product development + +",+1-437-991-1394,,,,https://www.linkedin.com/in/balagopalu/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a9b301dc-27f3-48dc-a5b7-9d887aef6f88/resume,,Ontario,,Canada,,2022-09-20T15:14:59.656Z,2022-09-29T21:19:47.001Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Dr. Michael Brudno / Dr. Chris McIntosh,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/balagopalu/,"Fairness, Healthcare and/or medical imaging, Self-supervised learning",Postgraduate Degree (PhD),Entry Level (0-2 Years),PhD in Computer Science,"Health, Software, Technology (Product Development)",Internship,Machine Learning Researcher/Scientist ,University of Toronto,True,True,True,True +bb669177-d1a7-45d1-8bcd-af70ab68c92e,sanjua17@yorku.ca,Sanjeev,Ahuja,https://talenthub.vectorinstitute.ai/profiles/3015925/view_image/IMG_20220622_131822_217.jpg,Manager,Schulich Masters of Business Analytics 2023 | Game programming | AI & ML | Analytics | Data Science & Strategy,6478612893,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/bb669177-d1a7-45d1-8bcd-af70ab68c92e/resume,Toronto,Ontario,,Canada,,2022-09-23T14:22:51.129Z,2022-10-11T20:19:16.369Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/sanjeev-ahuja-97873a8b/,"Bayesian methods, Data science, Deep learning, Generative modeling, Machine learning, Natural language processing, Quantum computing, Self-supervised learning, Statistical learning theory, Time-series forecasting and modelling, Unsupervised learning",Graduate Degree (Masters),Senior Level (5+ Years),Masters of Business Analytics,"Health, Retail, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",York University,True,True,True,True +ff4e6326-76ac-4c20-9519-82244f8e09c8,addie.weatherhead@gmail.com,Addison,Weatherhead,https://talenthub.vectorinstitute.ai/profiles/3086315/view_image/1658864731634.jpeg,,I'm a passionate undergrad interested in exploring the ways ML can have legitimate positive impact in the space of healthcare.,4372613644,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ff4e6326-76ac-4c20-9519-82244f8e09c8/resume,,,,,linkedin,2022-10-20T16:09:36.005Z,2022-10-20T16:09:36.594Z,False,False,Connected to Vector Research,Yes,Other/Unsure,Anna Goldenberg,Spring/Summer 2024 (April - July),Undergraduate Researcher,Mr.,https://www.linkedin.com/in/addison-weatherhead-293823b1/,"Bioinformatics, Deep learning, Healthcare and/or medical imaging",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science,,"Full Time, Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +3760e948-48cb-4b19-830e-c3dfc0f900d0,sandeeproutray1999@gmail.com,Sandeep,Routray,https://talenthub.vectorinstitute.ai/profiles/2556063/view_image/1530293170482.jpeg,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3760e948-48cb-4b19-830e-c3dfc0f900d0/resume,,,,,linkedin,2021-10-22T00:29:46.651Z,2021-10-22T00:29:46.851Z,False,False,Connected to Vector Research,Yes,Other/Unsure,Sanja Fidler,Already Graduated,Research Fellow,Mr.,https://www.linkedin.com/in/sandeep-routray/,"Computer vision, Natural language processing, Unsupervised learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Electrical engineering,"Education, Software, Technology (Information and Media), Telecommunications","Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,True,True,True +1f725fa3-f031-4342-b751-692540328948,sarah.moakler@outlook.com,Sarah,Startek,https://talenthub.vectorinstitute.ai/profiles/2603812/view_image/1605841109144.jpeg,,,,,,,https://www.linkedin.com/in/sarahstartek/,,True,False,,,,,,linkedin,2021-12-02T21:04:26.811Z,2021-12-02T21:04:27.303Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Ms.,https://www.linkedin.com/in/sarahstartek/,,Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Data Science and Artificial Intelligence,"Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Type of Work is More Important to me than Sector",Full Time,"Data Scientist, Other ",University of Waterloo,True,True,True,True +d0443b5f-a263-43c9-ac7c-2a08b21daa70,larissa.triess@gmail.com,Larissa,Triess,https://talenthub.vectorinstitute.ai/profiles/2565122/view_image/1516679943924.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-10-29T12:22:07.154Z,2021-10-29T12:22:07.368Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/triess-larissa/,,,,,,,,,True,False,True,True +3ee3b06b-9855-4030-91ad-75803f61500e,koustubh.sudarshan@gmail.com,Koustubh,Bindiganavile,https://talenthub.vectorinstitute.ai/profiles/2568579/view_image/1551455811414.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-11-02T04:17:15.774Z,2021-11-02T04:17:15.976Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/koustubh-bindiganavile-896a50123/,,,,,,,,,True,True,True,True +f8bfb674-6275-4a69-ab34-396fd73f063f,emily.maier3@gmail.com,Emily,Maier,https://talenthub.vectorinstitute.ai/profiles/2549105/view_image/1620432576155.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-10-16T15:49:11.064Z,2021-10-16T15:49:11.234Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/emily-maier-6b23b220a/,,,,,,,,,True,True,True,True +eb4e03f8-839f-4a09-87ff-d44c59507ee6,arturbackdeluca@gmail.com,Artur,Back de Luca,https://talenthub.vectorinstitute.ai/profiles/2553339/view_image/1547731966773.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-10-19T23:47:52.570Z,2021-10-19T23:47:52.802Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/arturbackdeluca/,,,,,,,,,True,False,True,True a7d0247b-1d2e-4c63-abf4-0294774ffef6,alvin.pane@mail.utoronto.ca,Alvin,Pane,https://talenthub.vectorinstitute.ai/profiles/2620484/view_image/1568905225440.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-12-18T17:13:51.810Z,2021-12-18T17:13:52.825Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/alvin-pane-70105817b/,,,,,,,,,True,False,True,True 737b7995-1591-438c-9f29-8252da1b1b30,info@ultdtrans.com,Ibrahim,Khatib,https://talenthub.vectorinstitute.ai/profiles/2621083/view_image/1573209866329.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-12-19T15:13:57.287Z,2021-12-19T15:13:57.777Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,True,True,True bbb9d8b6-063f-4e30-8bdf-d0f0ffb468f0,a76jain@edu.uwaterloo.ca,Arsheya,Jain,https://talenthub.vectorinstitute.ai/profiles/3029897/view_image/1594052440038.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-10-03T15:22:48.123Z,2022-10-03T15:22:48.781Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/arsheyajainwaterloo/,,,,,,,,,True,True,True,True @@ -3306,8 +3365,6 @@ ecbccd49-5681-4f77-b19f-e177761d865a,danishanis10@hotmail.com,Danish,Anis,https: 8d4e540a-5ade-4340-92ed-d0c4f2ecd732,nkudarav@lakeheadu.ca,Neeharika,kudaravalli,https://talenthub.vectorinstitute.ai/profiles/1613495/view_image/IMG-20191006-WA0016.jpg,Student,"Pursuing Masters in computer science at Lakehead university||Actively seeking for full time job opportunities preferably on Artificial Intelligence,NLP,Machine Learning and Data Science.",8073577512,,,,https://www.linkedin.com/in/neeharika-kudaravalli-868b77a4/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8d4e540a-5ade-4340-92ed-d0c4f2ecd732/resume,Thunder Bay,Ontario,,Canada,,2020-01-22T21:16:05.669Z,2020-02-04T21:45:19.100Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/neeharika-kudaravalli-868b77a4/,,Graduate Degree (Masters),,computer science,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Contract",,Lakehead University,True,True,True,True f3edfa70-8cd0-465f-9e04-4476d7b889fa,shafiahmedbd@gmail.com,Shafi,Ahmed,https://talenthub.vectorinstitute.ai/profiles/2197570/view_image/1587047114895.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-01-19T20:39:00.824Z,2021-01-19T20:39:01.066Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/shafiahmed/,,,,,,,,,True,True,True,True 0b50aa95-e15f-4022-bc79-d561a9c6a04c,terenceylchow@gmail.com,Terence,Chow,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Graduate Student,"I'm a master student in Department of Computer Science at Lakehead University (LU), Ontario, Canada, supervised by Prof. Yimin Yang . I also serve as a graduate assistant for courses, such as Computer Programming and Mobile Application. Before joining LU, I received my bachelor degree in electric engineering, major in Information Engineering at City University of Hong Kong.",,,https://terenceylchow124.github.io/,,https://www.linkedin.com/in/terence-chow-48a61b1b2/,,True,True,https://canadaai.jobboard.io/api/v1/profiles/0b50aa95-e15f-4022-bc79-d561a9c6a04c/resume,Thunder Bay,Ontario,,Canada,linkedin,2021-01-22T06:16:05.433Z,2021-01-25T21:53:38.022Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Dr. Yimin Yang,Already Graduated,,Mr.,https://www.linkedin.com/in/terence-chow-48a61b1b2/,"Computer vision, Deep learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Computer Science (Thesis-based: AI Specialization),"Financial Services, Health, Software, Technology (Information and Media)","Full Time, Internship, Contract",,Lakehead University,True,False,True,True -0939c4a6-614c-4365-aa49-6db83d075dbe,reachrohanpatel@gmail.com,Rohan,Patel,https://talenthub.vectorinstitute.ai/profiles/1601927/view_image/0.jpeg,,,,,,,https://www.linkedin.com/in/rohp/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0939c4a6-614c-4365-aa49-6db83d075dbe/resume,,,,,linkedin,2020-01-15T05:31:24.751Z,2020-01-15T05:31:24.934Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/rohp/,,Graduate Degree (Masters),,MEng Computing and Software Engineering,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op",,McMaster University,True,True,True,True -3dabf338-8b13-4491-a766-2fa729ac3123,kennie98@gmail.com,Ken,Tsoi,https://talenthub.vectorinstitute.ai/profiles/1599910/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-14T06:32:25.152Z,2020-01-14T06:32:25.309Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/ken-tsoi/,,Graduate Degree (Masters),,,,,,,True,False,True,True 727d891b-07b9-470a-97b7-8e966af09f7a,hajimolahoseini@gmail.com,Habib,Hajimolahoseini,https://talenthub.vectorinstitute.ai/profiles/1616345/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-24T23:29:21.757Z,2020-01-26T04:53:37.638Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/habib-hajimolahoseini-669710a7/,,,,,,,,,True,False,True,True d8adfea7-14e3-4ed4-9c7c-cb7c01951f97,taimoor.farooqi@yahoo.ca,Taimoor,Farooqi,https://talenthub.vectorinstitute.ai/profiles/1597381/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-12T23:27:08.145Z,2020-01-12T23:27:08.331Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/taimoor-farooqi/,,Undergraduate Degree (Bachelors),,,,,,,True,False,True,True 2c279352-fa11-47a6-b75f-862d8cad9aea,adamfrly@gmail.com,Adam,Farley,https://talenthub.vectorinstitute.ai/profiles/1613813/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-23T04:24:12.912Z,2020-01-23T04:24:13.682Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/adam-bai-farley/,,,,,,,,,True,False,True,True @@ -3356,76 +3413,108 @@ d9edb416-4bc5-4b58-adfa-eb8c91543353,kaur18supreet@gmail.com,Supreet,Kaur,https: 11fc1618-f67b-46a8-a3f2-c4ef1ab3b59f,usuhail@yorku.ca,Syed Umair,Suhail,https://talenthub.vectorinstitute.ai/profiles/1617341/view_image/0.jpg,"Master of Business Analytics - Schulich School of Business | MBA | Analytics Intern at Deloitte Omnia AI, Canada","I'm a passionate Data Science & Analytics professional, with a strong background in interpreting and analyzing data. I'm currently pursuing 'Master in Business Analytics' from Schulich School of Business (expected graduation by April 2020), where I have specialized in transforming raw data into meaningful business insights to guide strategic decision-making and solve complex business problems. I am experienced in using analytical tools such as SAS, Python, R, SQL and Tableau for data analysis and modeling. I possess an enriching working experience spanning around 3 years, as Investment Banking Analyst and Market Research Analyst, in the data-centric financial and the manufacturing sectors respectively, providing me direct exposure to data analysis, business intelligence, business reporting and stakeholder management. I am passionate about channeling my diverse exposure, business acumen and data analytics skills to provide innovative and impactful solutions to complex problems faced by businesses. ",416 725 9888,,,,https://www.linkedin.com/in/syedumairsuhail/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/11fc1618-f67b-46a8-a3f2-c4ef1ab3b59f/resume,Toronto,Ontario,,Canada,,2020-01-26T00:18:05.280Z,2020-04-29T06:10:25.234Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/syedumairsuhail/,,Graduate Degree (Masters),,Business Analytics,"Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Telecommunications",Full Time,,York University,True,True,True,True -cc2af5b2-a098-4669-9754-e7a771069eaa,rahiminejad68@gmail.com,Amir,"Nejad, MBA, MMAI",https://talenthub.vectorinstitute.ai/profiles/2977156/view_image/1615564937809.jpeg,,,,,,,https://www.linkedin.com/in/amir-rahimi-nejad/,,True,False,,,,,,linkedin,2022-08-29T17:46:23.713Z,2022-08-29T17:46:24.232Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/amir-rahimi-nejad/,,,,,,,,Queen's University,True,True,True,True -bc9fa179-ca1a-49d3-a934-77c8ce82cb2c,hadizadeh@outlook.com,Ali,Hadizadeh,https://talenthub.vectorinstitute.ai/profiles/3005664/view_image/1651792709736.jpeg,Ph.D. Candidate @ University of Toronto; Postgraduate Affiliate @ Vector Institute,"I am a Ph.D. Candidate at the University of Toronto and Postgraduate Affiliate at Vector Institute. My research mainly focuses on the efficient inference of Transformer models for NLP applications. We propose model compression techniques such as Post-Training Quantization to compress NLP models' parameters and activations. Our main goal is to significantly reduce off-chip traffic, the main bottleneck for performance and energy consumption. To employ compressed models on edge or even in data centers, we tailor hardware accelerators capable of exploiting compact models to make inference faster and more energy-efficient. -I am also a course instructor at UofT, teaching machine learning and deep learning for grad students.",,,https://hadiza.de/,,https://www.linkedin.com/in/alihadizadeh/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/bc9fa179-ca1a-49d3-a934-77c8ce82cb2c/resume,Toronto,Ontario,,Canada,linkedin,2022-09-16T20:17:31.154Z,2022-09-27T13:39:56.446Z,False,False,Internal Staff,Yes,Post Graduate Affiliate,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/alihadizadeh/,"Deep learning, Natural language processing",Postgraduate Degree (PhD),Senior Level (5+ Years),4,Type of Work is More Important to me than Sector,Full Time,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,False,True,True -6c91f51e-3a2f-44b2-b41f-3aa4f9385869,vigneshedithal11031997v@gmail.com,Vignesh,Edithal,https://talenthub.vectorinstitute.ai/profiles/2843412/view_image/1517461994436.jpeg,,,,,,,https://www.linkedin.com/in/edithal/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6c91f51e-3a2f-44b2-b41f-3aa4f9385869/resume,Toronto,Ontario,,Canada,linkedin,2022-06-06T04:54:34.101Z,2022-06-15T15:15:18.230Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/vignesh-edithal-7b2844125/,"Data science, Deep learning, Machine learning",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),MScAC,Type of Work is More Important to me than Sector,Internship,"Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True -ac332d7f-7167-4107-a358-884a81789ba5,abew@cs.toronto.edu,Abenezer,Teklemariam,https://talenthub.vectorinstitute.ai/profiles/2556024/view_image/1610575213050.jpeg,Machine Learning Engineer,"Engineering Physicist by training with 3 years of cumulative experience in research & development, consumer products as well as biotech industry. Experiences include developing a program that implemented an SVM algorithm to predict posture and also setting up a standalone database in SQL based system. Peaked interest in pattern recognition and the novelty of the field have led me to consider a career in Machine Learning for health.",,,,,https://www.linkedin.com/in/abeteklemariam/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ac332d7f-7167-4107-a358-884a81789ba5/resume,,,,,linkedin,2021-10-21T22:53:55.636Z,2021-10-25T05:04:27.740Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/abeteklemariam/,"Computational biology, Healthcare and/or medical imaging, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Science in Applied Computing,"Financial Services, Health, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship","Data Scientist, Machine Learning Engineer, Software Engineer",University of Toronto,True,False,True,True -c37c7ad3-0801-4043-b5b3-80db032d6d8a,christina.616v@gmail.com,Yuxin,Zhuang,https://talenthub.vectorinstitute.ai/profiles/2617678/view_image/IMG_4182.jpg,Data Analyst | Schulich Master of Business Analytics Graduate,"My name is Yuxin Zhuang and I just graduated from Schulich with a master's degree in business analytics. I enjoy playing with data and joined Ontario Power Generation Inc. as a data consultant while I was still in school. Devoted to raising the efficiency of the HR department, I led the team to build the ticket classification model, reaching an accuracy of over 90%, saving hundreds of hours for the HR team. Now I want to expand my skillset and explore more opportunities in other fields, continuing to make contributions to the company with the power of data. -""",6476713665,,,,,,True,False,,Toronto,Ontario,,Canada,,2021-12-16T02:34:14.790Z,2021-12-16T02:34:14.843Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/yuxin-zhuang-5134351a9/,"Generative modeling, Machine learning, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Business Analytics,Type of Work is More Important to me than Sector,"Full Time, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer",York University,True,False,True,True -af0c1334-7344-4e84-8f2f-a654ef292b62,mahajan@ualberta.ca,Anmol,Mahajan,https://talenthub.vectorinstitute.ai/profiles/2767845/view_image/1646679071047.jpeg,Machine Learning Developer,"Experienced Machine Learning Engineer with a demonstrated work history in the financial industry. -A collaborative researcher with 2+ years of machine learning experience. My research interest lies in discovering prediction models to forecast financial behaviour of customers on real world tasks involving insufficient data. -At Servus Credit Union, I am a part of the Data Science Team where I am responsible for developing novel Machine Learning models for financial forecasting, customer financial behaviour prediction and retention models. In my role, I work towards deploying Machine Learning models and building end-to-end data pipelines.",5879375606,,https://anmolmahajan98.github.io,,https://www.linkedin.com/in/anmol-mahajan-338605157/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/af0c1334-7344-4e84-8f2f-a654ef292b62/resume,,,,Canada,linkedin,2022-04-13T21:43:05.648Z,2022-11-16T16:48:19.353Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/anmol-mahajan-338605157/,"Anomaly detection, Data science, Few-shot learning, Machine learning, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),Computing Science,"Financial Services, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,True,True,True -469dc881-9072-4abe-826a-fb1763606626,daveveitch@gmail.com,David,Veitch,https://talenthub.vectorinstitute.ai/profiles/1550634/view_image/selfi3vsmall.PNG,UofT Statistics PhD Student,"I am a PhD candidate in statistics at the University of Toronto. I am particularly interested in time series analysis and machine learning, and their applications in industrial settings. Before my current studies, I completed my Master’s degree in Statistics at UofT, my undergraduate degree in Commerce at Queen’s University, and worked at Bank of America as a fixed-income trader.",4168802454,,http://daveveitch.github.io,,https://www.linkedin.com/in/dveitch,daveveitch,True,False,https://canadaai.jobboard.io/api/v1/profiles/469dc881-9072-4abe-826a-fb1763606626/resume,Toronto,Ontario,,Canada,linkedin,2019-12-03T16:03:25.060Z,2022-08-29T21:02:54.404Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/dveitch,"Data science, Time-series forecasting and modelling",Postgraduate Degree (PhD),Entry Level (0-2 Years),Statistics PhD,"Financial Services, Retail","Internship, Co-op, Contract","Data Scientist, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -885ba94d-8974-47d9-8148-61766f036192,raeidsaqur@cs.toronto.edu,Raeid,Saqur,https://talenthub.vectorinstitute.ai/profiles/3009608/view_image/1552079090562.jpeg,,,,,https://www.cs.toronto.edu/~raeidsaqur/,,,RaeidSaque,True,False,,,,,,linkedin,2022-09-20T00:01:35.997Z,2022-09-20T00:01:36.715Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/raeidsaqur/,"Graphical models, Machine learning, Natural language processing, Reinforcement learning, Representation learning, Robotics",Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Science,,Internship,Machine Learning Researcher/Scientist ,University of Toronto,True,False,True,True -8a97ad94-9c6d-4e17-8f2a-2d07287f0fd4,kasra.khalafi@queensu.ca,Kasra,Khalafi,https://talenthub.vectorinstitute.ai/profiles/2624537/view_image/5-KasraKhalafiPhoto_-_Copy.jpg,MASc Student,My name is Kasra Khalafi and I am a MASc student in the Electrical and Computer Engineering department at Queen's University,+1(514) 448-3806,,,,https://www.linkedin.com/in/kasra-khalafi/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8a97ad94-9c6d-4e17-8f2a-2d07287f0fd4/resume,Kingston,Ontario,,Canada,,2021-12-22T19:55:57.106Z,2021-12-23T01:46:50.462Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/kasra-khalafi/,"Deep learning, Machine learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),MASc in Electrical and Computer Engineering,"Education, Health, Telecommunications",Internship,"Data Engineer, Data Scientist, Machine Learning Engineer, Other ",Queen's University,True,True,True,True -58187cc1-2ec3-4fd5-b343-d5d96a8d88dd,sara72alizadeh@gmail.com,Sara,Alizadeh,https://talenthub.vectorinstitute.ai/profiles/2186853/view_image/1610125538624.jpeg,Software Engineer,"I am a Data Scientist with a Master's degree in Electrical and Computer Engineering, and 4 years of experience in the software industry, data analytics, modeling, and building end-to-end machine learning web applications.",9059792747,,https://saro0o00oo.github.io/,,https://www.linkedin.com/in/sara-alizadeh72/,,True,False,,Toronto,Ontario,,Canada,linkedin,2021-01-11T21:09:54.269Z,2021-01-11T21:09:54.487Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/sara-alizadeh72/,"Data science, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Electrical and Computer Engineering,,Full Time,,McMaster University,True,True,True,True -ecbccd49-5681-4f77-b19f-e177761d865a,danishanis10@hotmail.com,Danish,Anis,https://talenthub.vectorinstitute.ai/profiles/2185240/view_image/20289968_10207791768547296_1330507151_n.png,Data Science & Technology Consultant,Love to try new things and keep updated with the emerging trends in my line of work.,6478314704,,https://www.github.com/danishanis,,https://www.linkedin.com/in/danishanis,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ecbccd49-5681-4f77-b19f-e177761d865a/resume,Toronto,Ontario,,Canada,,2021-01-10T19:20:35.125Z,2021-01-10T22:04:11.531Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2021,,Mr.,https://www.linkedin.com/in/danishanis,"Data science, Natural language processing, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Mechanical & Industrial Engineering,"Financial Services, Professional Services (e.g Consulting), Technology (Information and Media)","Full Time, Internship, Contract",,University of Toronto,True,True,True,True -8d4e540a-5ade-4340-92ed-d0c4f2ecd732,nkudarav@lakeheadu.ca,Neeharika,kudaravalli,https://talenthub.vectorinstitute.ai/profiles/1613495/view_image/IMG-20191006-WA0016.jpg,Student,"Pursuing Masters in computer science at Lakehead university||Actively seeking for full time job opportunities preferably on Artificial Intelligence,NLP,Machine Learning and Data Science.",8073577512,,,,https://www.linkedin.com/in/neeharika-kudaravalli-868b77a4/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8d4e540a-5ade-4340-92ed-d0c4f2ecd732/resume,Thunder Bay,Ontario,,Canada,,2020-01-22T21:16:05.669Z,2020-02-04T21:45:19.100Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/neeharika-kudaravalli-868b77a4/,,Graduate Degree (Masters),,computer science,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Contract",,Lakehead University,True,True,True,True -0939c4a6-614c-4365-aa49-6db83d075dbe,reachrohanpatel@gmail.com,Rohan,Patel,https://talenthub.vectorinstitute.ai/profiles/1601927/view_image/0.jpeg,,,,,,,https://www.linkedin.com/in/rohp/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0939c4a6-614c-4365-aa49-6db83d075dbe/resume,,,,,linkedin,2020-01-15T05:31:24.751Z,2020-01-15T05:31:24.934Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/rohp/,,Graduate Degree (Masters),,MEng Computing and Software Engineering,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op",,McMaster University,True,True,True,True -0b50aa95-e15f-4022-bc79-d561a9c6a04c,terenceylchow@gmail.com,Terence,Chow,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Graduate Student,"I'm a master student in Department of Computer Science at Lakehead University (LU), Ontario, Canada, supervised by Prof. Yimin Yang . I also serve as a graduate assistant for courses, such as Computer Programming and Mobile Application. Before joining LU, I received my bachelor degree in electric engineering, major in Information Engineering at City University of Hong Kong.",,,https://terenceylchow124.github.io/,,https://www.linkedin.com/in/terence-chow-48a61b1b2/,,True,True,https://canadaai.jobboard.io/api/v1/profiles/0b50aa95-e15f-4022-bc79-d561a9c6a04c/resume,Thunder Bay,Ontario,,Canada,linkedin,2021-01-22T06:16:05.433Z,2021-01-25T21:53:38.022Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Dr. Yimin Yang,Already Graduated,,Mr.,https://www.linkedin.com/in/terence-chow-48a61b1b2/,"Computer vision, Deep learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Computer Science (Thesis-based: AI Specialization),"Financial Services, Health, Software, Technology (Information and Media)","Full Time, Internship, Contract",,Lakehead University,True,False,True,True -15da9d6e-95cc-48e8-b29e-b235b67aed5e,nimaabbasi1373@gmail.com,Nima,Abbasi,https://talenthub.vectorinstitute.ai/profiles/1716120/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-04-11T23:02:17.396Z,2020-04-11T23:02:17.653Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/nabbasif/,,,,,,,,,True,True,True,True -d8adfea7-14e3-4ed4-9c7c-cb7c01951f97,taimoor.farooqi@yahoo.ca,Taimoor,Farooqi,https://talenthub.vectorinstitute.ai/profiles/1597381/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-12T23:27:08.145Z,2020-01-12T23:27:08.331Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/taimoor-farooqi/,,Undergraduate Degree (Bachelors),,,,,,,True,False,True,True -727d891b-07b9-470a-97b7-8e966af09f7a,hajimolahoseini@gmail.com,Habib,Hajimolahoseini,https://talenthub.vectorinstitute.ai/profiles/1616345/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-24T23:29:21.757Z,2020-01-26T04:53:37.638Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/habib-hajimolahoseini-669710a7/,,,,,,,,,True,False,True,True -2c279352-fa11-47a6-b75f-862d8cad9aea,adamfrly@gmail.com,Adam,Farley,https://talenthub.vectorinstitute.ai/profiles/1613813/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-23T04:24:12.912Z,2020-01-23T04:24:13.682Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/adam-bai-farley/,,,,,,,,,True,False,True,True -3dabf338-8b13-4491-a766-2fa729ac3123,kennie98@gmail.com,Ken,Tsoi,https://talenthub.vectorinstitute.ai/profiles/1599910/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-14T06:32:25.152Z,2020-01-14T06:32:25.309Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/ken-tsoi/,,Graduate Degree (Masters),,,,,,,True,False,True,True -f3edfa70-8cd0-465f-9e04-4476d7b889fa,shafiahmedbd@gmail.com,Shafi,Ahmed,https://talenthub.vectorinstitute.ai/profiles/2197570/view_image/1587047114895.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-01-19T20:39:00.824Z,2021-01-19T20:39:01.066Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/shafiahmed/,,,,,,,,,True,True,True,True -deee618f-eab9-4203-9de3-6658a2fb7bb4,uhass90@gmail.com,Uzair,Hassan,https://talenthub.vectorinstitute.ai/profiles/1602943/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-15T17:08:28.947Z,2020-01-15T17:08:29.182Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/uzairh/,,,,,,,,,True,False,True,True -5f5fc662-a42e-43cc-8a28-ee0058c9947d,oliviavvvv@gmail.com,Zerun,Xiao,https://talenthub.vectorinstitute.ai/profiles/1604936/view_image/0.jpeg,Candidate for Master of Data Analytics at Western University,"I completed my computer science degree from UBC, during the last few years in the school I developed firm programming skills and an in-depth understanding of system representation, such as relational databases and intelligent systems. -Standing at the intersection of various industries, data has appealed to me as a magical window to observe the world. As a Computer Science student with broad interests, I have thus long been riveted by how data will revolutionize the way we live. This inspires me to pursue a master's degree in data analytics at Western University. With my skills for statistical modeling and data analytics enhanced by completing this program, I seek to achieve my ambition as a data analyst to connect with multi-disciplinary industries. ",7783179661,,,,https://www.linkedin.com/in/zerun-xiao-aa012314a/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5f5fc662-a42e-43cc-8a28-ee0058c9947d/resume,London,Ontario,,Canada,linkedin,2020-01-16T20:36:12.887Z,2020-01-19T04:18:57.381Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/zerun-xiao-aa012314a/,,Graduate Degree (Masters),,Master of Data Analytics,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op",,Western University,True,True,True,True -d948ba8c-2b2f-4246-b216-871df341e88d,yhsiuwei@gmail.com,Leo (Hsiu-Wei),Yang,https://talenthub.vectorinstitute.ai/profiles/1607763/view_image/0.jpeg,Data Scientist,"Leo (Hsiu-Wei) Yang is a master's student in computer science at University of Waterloo. His research interests lie in natural language processing and knowledge graph applications based on deep learning and Spark. His papers are published in top conferences, including EMNLP, SIGIR, CIKM, and JCDL. He also received a MBA degree from National Taiwan University and has several years of experience as a data analyst specializing in social media marketing. ",+1-5195845912,,,,https://www.linkedin.com/in/yhsiuwei/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d948ba8c-2b2f-4246-b216-871df341e88d/resume,Waterloo,Ontario,,Canada,linkedin,2020-01-19T04:48:17.620Z,2020-01-19T04:48:17.828Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/yhsiuwei/,,Graduate Degree (Masters),,Computer Science,"Financial Services, Manufacturing , Technology (Information and Media)","Internship, Co-op",,University of Waterloo,True,False,True,True -220e01b2-597e-4687-b488-79fdfaef3ccf,daniyal.maniar@queensu.ca,Daniyal,Maniar,https://talenthub.vectorinstitute.ai/profiles/1587226/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-07T04:06:18.076Z,2020-01-07T04:06:18.423Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/daniyal-maniar/,,Undergraduate Degree (Bachelors),,,,,,,True,False,True,True -57c3ec84-6042-4c98-b110-4d0f55f97c8f,stephanearocaouellette@gmail.com,Stephane,Aroca-Ouellette,https://talenthub.vectorinstitute.ai/profiles/1587033/view_image/0.jpeg,Graduate Student,"Current Master's student searching for a summer internship before starting my doctoral studies in the fall. Interested in leveraging deep learning, reinforcement learning, and natural language processing to make the world a better place.",2368864771,,https://github.com/StephAO,,https://www.linkedin.com/in/stephane-ao/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/57c3ec84-6042-4c98-b110-4d0f55f97c8f/resume,Toronto,Ontario,,Canada,linkedin,2020-01-06T23:29:47.347Z,2020-01-09T21:05:49.173Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Frank Rudzicz,Already Graduated,,Mr.,https://www.linkedin.com/in/stephane-ao/,,Graduate Degree (Masters),,Computer Science,"Construction or Infrastructure, Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Product Development), Type of Work is More Important to me than Sector","Internship, Co-op",,University of Toronto,True,False,True,True -f6604edc-f737-4520-8b44-ad7992e8a3da,michellekhuu96@hotmail.com,Michelle,Khuu,https://talenthub.vectorinstitute.ai/profiles/1572642/view_image/0.jpeg,,,,,,,https://www.linkedin.com/in/michellekhuurn,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f6604edc-f737-4520-8b44-ad7992e8a3da/resume,Toronto,Ontario,,Canada,linkedin,2019-12-23T04:50:49.112Z,2019-12-23T04:50:49.385Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Miss.,https://www.linkedin.com/in/michellekhuurn/,,,,Master of Health Informatics,"Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract, Capstone Project",,University of Toronto,True,False,True,True -f1e1c208-55d0-4506-8ad6-da51ff51dd2a,s.a.mojarad@gmail.com,Shahin,A. Mojarad,https://talenthub.vectorinstitute.ai/profiles/1591368/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-08T23:59:16.705Z,2020-01-08T23:59:17.092Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/shahinmojarad/,,Postgraduate Degree (PhD),,,,,,,True,False,True,True -64bd7742-fc65-4627-a5d3-fc1ed69d8c9a,paultononcs@gmail.com,Paul,Tonon,https://talenthub.vectorinstitute.ai/profiles/1585862/view_image/0.jpeg,Graduate Student at the University of Waterloo,,,,,,https://www.linkedin.com/in/paul-tonon-8484bb186/,,True,False,,Waterloo,Ontario,,Canada,linkedin,2020-01-06T14:49:50.209Z,2020-01-06T14:49:50.395Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2021,,Mr.,https://www.linkedin.com/in/paul-tonon-8484bb186/,,,,Master of Data Science and Artificial Intelligence,Type of Work is More Important to me than Sector,Co-op,,University of Waterloo,True,True,True,True -fe97b80e-569c-4187-823d-1a456a1ea494,christopher.jj.wang@gmail.com,Christopher,Wang,https://talenthub.vectorinstitute.ai/profiles/1588739/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-07T18:16:42.235Z,2020-01-07T18:16:42.414Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/christopher-jj-wang/,,,,,,,,,True,False,True,True -87b9e288-4a2d-4d6f-b380-5149dfb45325,erik.beier@gmail.com,Erik,Beier,https://talenthub.vectorinstitute.ai/profiles/1574823/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-26T21:32:36.393Z,2019-12-26T21:32:36.724Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/erikbeier/,,,,,,,,,True,False,True,True -0d2b3c9a-d0bc-4cc2-801a-0056068bd583,graydonho@gmail.com,Graydon,Hope,https://talenthub.vectorinstitute.ai/profiles/1565041/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-15T23:33:21.458Z,2019-12-15T23:33:21.674Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/graydon-hope/,,,,,,,,,True,False,True,True -1255f1c4-bf42-4580-ae88-8804a64d853a,alinsteinjose@gmail.com,Alinstein,Jose,https://talenthub.vectorinstitute.ai/profiles/1593484/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-01-10T05:52:06.429Z,2020-01-10T05:52:06.578Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/alinsteinjose/,,Graduate Degree (Masters),,,,,,,True,True,True,True -88feb46d-5a17-43bf-b9b4-1845ff568c89,abhinav.sagar2016@vitstudent.ac.in,ABHINAV,SAGAR,https://talenthub.vectorinstitute.ai/profiles/1567021/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-17T08:14:47.380Z,2019-12-17T08:14:47.813Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/abhinav-sagar-211a1a1a/,,,,,,,,,True,True,True,True -fd688d63-a238-4768-857f-9b089d57f751,uzairmahmed@gmail.com,Uzair,Ahmed,https://talenthub.vectorinstitute.ai/profiles/2123838/view_image/0.jpeg,Computer (w/ Software Option) Engineering Student,"3rd Year Computer Engineering Student with a passion for Machine Learning, Full Stack Development, Internet of Things, and Cloud Infrastructures. ",6478793355,,https://www.uzairmahmed.com,,https://www.linkedin.com/in/uzairmahmed/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/fd688d63-a238-4768-857f-9b089d57f751/resume,Toronto,Ontario,,Canada,linkedin,2020-11-06T03:31:04.963Z,2020-11-06T03:31:05.237Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,Applying through Google Jobs,Mr.,https://www.linkedin.com/in/uzairmahmed/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Engineering (w/ Software Option),"Software, Type of Work is More Important to me than Sector","Internship, Co-op",,Ryerson University,True,False,True,True -48566e48-d991-42f1-a8a4-37bf9405ef37,amanda.chan@sunlife.com,Amanda,Chan,https://talenthub.vectorinstitute.ai/profiles/2696863/view_image/selfie.jpg,Client Digital Adoption Specialist,An analytics professional helping teams leverage data and develop innovative strategies to monetize growth opportunities. Her inspiration is derived from pioneering and pushing innovation in a continuous improvement initiatives via an analytics-first mindset. ,6138908966,,,,https://linkedin.com/in/amandachan31/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/48566e48-d991-42f1-a8a4-37bf9405ef37/resume,Toronto,Ontario,,Canada,,2022-02-18T15:44:36.179Z,2022-02-18T15:44:36.212Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ali Taiyeb,Winter 2023 (December 2022 - March 2023),,Miss.,https://linkedin.com/in/amandachan31/,"Data science, Gaussian processes, Machine learning, Natural language processing, Time-series forecasting and modelling",Graduate Degree (Masters),Mid-Level (3-5 Years),Masters of Management Analytics,"Education, Financial Services, Professional Services (e.g Consulting), Technology (Product Development)","Full Time, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Product/Project Manager",Queen's University,True,False,True,True -303caa30-2a4c-4e41-9cc5-bce6686052ce,bilalmehar381@gmail.com,Bilal,Ahmed,https://talenthub.vectorinstitute.ai/profiles/2691829/view_image/1634568274374.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-02-15T08:19:47.940Z,2022-02-15T08:19:48.342Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/bilalahmed381/,,,,,,,,,True,False,True,True -08eb3841-25ce-4470-b2c0-2947cfd8f097,nilesjessie047@gmail.com,Jessie,Niles,https://talenthub.vectorinstitute.ai/profiles/2143446/view_image/0.jpeg,Professional Athlete turned Entrepreneur,"My passion is to innovate how to use tools and technology to empower people to achieve excellence. I bring my high-performance mindset and lessons learned from sport beyond the court into my post-sports career. I am futuristic and inspired by what 'could be'. I am an achiever, a competitor, a great teammate and I love to work hard. I am inquisitive with a great desire to learn and continuously improve. -I have recently retired as a professional volleyball player and a member of the Team Canada Women's Volleyball Team. I am excited to be starting my Global Master of Management Analytics at the Smith School of Business at Queen's University starting in January 2021. ",,,http://www.getreadyinfive.com,,https://www.linkedin.com/in/jessie-niles/,,True,False,,Calgary,Alberta,,Canada,linkedin,2020-11-26T18:36:16.369Z,2020-11-26T18:36:16.600Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mrs.,https://www.linkedin.com/in/jessie-niles/,,Graduate Degree (Masters),Entry Level (0-2 Years),Global Master of Management Analytics,"Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Co-op, Contract, Capstone Project",,Queen's University,True,True,True,True -d1a562ae-aa70-4f1f-ad5e-9c5538a60041,lramosc@lakeheadu.ca,Laurent,Cheret,https://talenthub.vectorinstitute.ai/profiles/2671231/view_image/20220131_125000.jpg,AI MSc student @Lakehead University,,4167310184,,,,https://www.linkedin.com/in/laurent-cheret/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d1a562ae-aa70-4f1f-ad5e-9c5538a60041/resume,Thunder Bay,Ontario,,Canada,,2022-01-31T17:40:24.391Z,2022-02-10T17:23:56.344Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Yimin Yang,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/laurent-cheret/,"Adversarial learning, Bayesian methods, Computer vision, Deep learning, Gaussian processes, Machine learning, Optimization, Recommender systems, Representation learning, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),MSc in Computer Science with focus on Artificial Intelligence,"Software, Telecommunications, Type of Work is More Important to me than Sector",Internship,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",Lakehead University,True,True,True,True -fddc9c5b-798b-46e8-86d7-ee2d7a860219,soham2446@gmail.com,Soham,Mukherjee,https://talenthub.vectorinstitute.ai/profiles/2667898/view_image/1635714852499.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-01-28T19:46:25.777Z,2022-01-28T19:46:26.220Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/smukherjee42/,,,,,,,,,True,True,True,True +3f2a8df6-ffb9-4be8-b75d-fcfcba734a37,daniel.tamming@uwaterloo.ca,Daniel,Tamming,https://talenthub.vectorinstitute.ai/profiles/1713139/view_image/0.jpeg,Graduate Student Studying Artificial Data Generation for NLP,,519.270.8427,,https://danieltamming.github.io/,,https://www.linkedin.com/in/daniel-tamming/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3f2a8df6-ffb9-4be8-b75d-fcfcba734a37/resume,Toronto,Ontario,,Canada,linkedin,2020-04-08T15:12:02.892Z,2020-04-21T15:07:30.170Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/daniel-tamming/,,Graduate Degree (Masters),,"Master of Mathematics, Computer Science",Type of Work is More Important to me than Sector,"Full Time, Internship",,University of Waterloo,True,True,True,True +f3c44685-0e0d-4d51-9e90-b7ae55460fa2,nphelps3@uwo.ca,Nathan,Phelps,https://talenthub.vectorinstitute.ai/profiles/1798790/view_image/0.jpeg,Graduating MSc Student Looking for Opportunities,"I am a graduating MSc student looking for new opportunities in AI/data science. My research experience has involved using statistical modeling and machine learning for classification, formalizing guidelines for proper evaluation and comparison of models, representation learning, clustering, and reinforcement learning. I am looking for an opportunity where I can use these skills to make an impact. +I enjoy spending my spare time playing sports, especially volleyball. During my time at Western, I played on the varsity team for five years, and I hope to remain involved in volleyball in the coming years.",,,,,https://www.linkedin.com/in/nathan-phelps-119519114/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f3c44685-0e0d-4d51-9e90-b7ae55460fa2/resume,London,Ontario,,Canada,linkedin,2020-05-21T14:43:58.750Z,2020-05-21T14:43:59.018Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Daniel Lizotte,Already Graduated,,Mr.,https://www.linkedin.com/in/nathan-phelps-119519114/,,Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Health, Technology (Information and Media), Type of Work is More Important to me than Sector","Full Time, Contract",,Western University,True,True,True,True 3b383c2f-5632-470a-94eb-2a2c842402f9,spencer.lott@hotmail.com,Spencer,Lott,https://talenthub.vectorinstitute.ai/profiles/2504462/view_image/1629218687157.jpeg,Experienced Operations Manager - Future Consultant ,"Over three years experience in Operations/Production Management and successful leadership. Current student at the Schulich School of Business, completing a Masters of Management in Artificial Intelligence. Proactive and self-driven individual dedicated to problem solving, creative thinking, and AI consultancy. ",6472344765,,,,https://www.linkedin.com/in/spencer-lott-b82611203/,,True,False,,Toronto,Ontario,,Canada,,2021-09-10T17:42:49.064Z,2021-09-16T18:08:45.143Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/spencer-lott-b82611203/,"Computer vision, Data science, Deep learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Masters of Management In,,"Full Time, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Product/Project Manager",York University,True,True,True,True -0e51f586-208a-4c8b-81e2-496ec7ca06a6,m.rasooli.j@gmail.com,Maral,Rasoolijaberi,https://talenthub.vectorinstitute.ai/profiles/1558273/view_image/0.jpeg,Computer Vision/Machine Learning Scientist,,5194659975,,,,https://www.linkedin.com/in/maralrasooli,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0e51f586-208a-4c8b-81e2-496ec7ca06a6/resume,Waterloo,Ontario,,Canada,linkedin,2019-12-09T18:50:39.140Z,2022-04-21T00:33:32.616Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,H.R. Tizhoosh,Already Graduated,,Miss.,https://www.linkedin.com/in/maralrasooli/,"Computer vision, Deep learning, Machine learning, Self-supervised learning, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),M.A.Sc.,"Financial Services, Health, Software, Technology (Information and Media), Type of Work is More Important to me than Sector",Full Time,"Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Waterloo,True,False,True,True -dc240514-f909-4ed4-a8b2-d678db00276f,kanavsngla@gmail.com,Kanav,Singla,https://talenthub.vectorinstitute.ai/profiles/2660681/view_image/1596099398199.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-01-24T00:48:29.654Z,2022-01-24T00:48:30.025Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/kanav-singla-927946171/,,,,,,,,,True,True,True,True -aa66950d-1124-45e3-83f2-6ecb80f00cd9,stailick.wang@mail.utoronto.ca,Shuo,Wang,https://talenthub.vectorinstitute.ai/profiles/2685023/view_image/1516780742214.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-02-09T22:15:20.299Z,2022-02-09T22:15:20.758Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/shuow/,,,,,,,,,True,True,True,True -63afacd1-82b2-4474-9330-b0b9195ef7fc,isaac.chan@mail.mcgill.ca,Isaac,Chan,https://talenthub.vectorinstitute.ai/profiles/2507862/view_image/1537235995393.jpeg,,,,,,,,,True,False,,,,,,linkedin,2021-09-13T18:39:40.013Z,2021-09-13T18:39:40.223Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/chan-isaac-ezw/,,,,,,,,,True,True,True,True -c1b70de8-ec36-454f-9501-cb5f270784c6,jakobzerbs@gmail.com,Jakob,Zerbs,https://talenthub.vectorinstitute.ai/profiles/2764604/view_image/1609385552304.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-04-11T19:04:10.533Z,2022-04-11T19:04:10.939Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/jakob-zerbs/,,,,,,,,,True,False,True,True -796ff0b6-0005-4d17-90ad-00a05d2d6ae7,shivani404sheth@gmail.com,Shivani,Sheth,https://talenthub.vectorinstitute.ai/profiles/1916725/view_image/0.jpeg,"Project Management Intern at Vector. Specialize in Data Science, Machine Learning with previous experience in Software Development and Engineering.","Hello! I am a Master's student in Computer Science (Artificial Intelligence Specialization) at York University. My area of expertise is Machine Learning and Data Science, but I have also have experience in Software Engineering and Development. I have led tech and non tech teams at a student and corporate level through my journey in STEM. I am inquisitive by nature and I love learning new things in the tech domain. Feel free to reach out for my resume and portfolio! -Technical Skills: -1. Artificial Intelligence Models: Neural Networks, Long Short Term Memory Networks/ LSTMs ( Natural Language Processing ), Convolution Neural Networks/ CNNs ( Computer Vision ), Generative Adversarial Networks/ GANs ( Image Processing ), Autoregressive integrated moving average/ ARIMA ( Time Series ). -2. Machine Learning Algorithms: -- Supervised: Classification (K-Nearest Neighbors, Decision Trees, Logistic Regression, Support Vector Machine), Regression (Simple, Multiple, Polynomial). -- Unsupervised: K- means Clustering, Hierarchical (Agglomerative) Clustering, Density-based Clustering. -3. Python Libraries: Pandas, Scikit-learn, Matplotlib, Seaborn, Folium, Numpy, SciPy. -4. Deep Learning Frameworks: TensorFlow, PyTorch. -5. Programming Languages: Python, SQL, Java, HTML. -6. Operating Systems: Windows, Linux (Ubuntu). -7. Softwares: Anaconda, Jupyter Notebook, Spyder, Tableau, IBM Watson, PyCharm, MySQL Workbench, Microsoft Excel. -If you think I'm a good match for your company, I would be happy to hear from you on shivani404sheth@gmail.com",+16475076732,,https://shivanisheth.netlify.app/,,https://www.linkedin.com/in/shivani-sheth-784896165,,True,False,https://canadaai.jobboard.io/api/v1/profiles/796ff0b6-0005-4d17-90ad-00a05d2d6ae7/resume,Toronto,Ontario,,Canada,linkedin,2020-08-08T12:52:45.440Z,2022-03-21T03:09:05.254Z,False,False,Recognized Masters Program,Yes,Other/Unsure,,Already Graduated,Intern at Vector - Project Management,Ms.,https://www.linkedin.com/in/shivani-sheth-784896165,,Graduate Degree (Masters),Entry Level (0-2 Years),MSc in Computer Science with Specialization in AI,"Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",York University,True,False,True,True -3d317884-5d8c-435c-bb97-98fa1fef9a42,tanjeem.taha@mail.utoronto.ca,Tanjeem,Taha,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Research Assistant and Project Coordinator at Women's College Hospital,"Currently pursuing a master's degree in Health Informatics and will be graduating in 2022. Working at Women's College Hospital Institute for Health System Solutions and Virtual Care (WIHV) as a research assistant and project coordinator. Interested in data analytics, project management, human factors and systems design. Motivated individual looking to build her knowledge of AI and project design to improve access to care for all Canadians and have an impact in eHealth. She is actively working on the skills necessary for upcoming changes in digital health. ",,,,,https://www.linkedin.com/in/tanjeem-taha/,,True,True,https://canadaai.jobboard.io/api/v1/profiles/3d317884-5d8c-435c-bb97-98fa1fef9a42/resume,,,,,,2020-08-13T19:40:50.497Z,2020-09-28T05:33:18.867Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Master of Health Informatics,Already Graduated,,Miss.,www.linkedin.com/in/tanjeem-taha,,Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Bachelor of Science (Life Sciences),"Health, Professional Services (e.g Consulting), Software, Technology (Product Development)","Full Time, Internship, Co-op, Contract, Capstone Project",,University of Toronto,True,True,True,True -553e348c-6750-4240-93a7-813578f37d5e,20naje@queensu.ca,Ngozi,Emeh-Festus,https://talenthub.vectorinstitute.ai/profiles/2482776/view_image/me-snipped.PNG,PRODUCT MANAGER & STRATEGIST | ARTIFICIAL INTELLIGENCE,"12 years software industry experience, 6 years as product manager and 3 years in AI strategy. Coded, launched and managed highly technical web and mobile products, reversing declining performances,increased customer acquisition and retention,stimulated year by year revenue growth. Winner: Product Faculty's summer 2021 capstone project. Won with feature developed for Netflix to enable global expansion and 20% increase in yearly recurrent revenue.",,,,,https://www.linkedin.com/in/ngozi-emeh-festus-33010759/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/553e348c-6750-4240-93a7-813578f37d5e/resume,,Ontario,,Canada,,2021-08-25T18:52:04.917Z,2021-09-23T13:11:11.923Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mrs.,https://www.linkedin.com/in/ngozi-emeh-festus-33010759/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Senior Level (5+ Years),Masters of Management in Artificial Intelligence,"Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Scientist, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Queen's University,True,True,True,True +d1a562ae-aa70-4f1f-ad5e-9c5538a60041,lramosc@lakeheadu.ca,Laurent,Cheret,https://talenthub.vectorinstitute.ai/profiles/2671231/view_image/20220131_125000.jpg,AI MSc student @Lakehead University,,4167310184,,,,https://www.linkedin.com/in/laurent-cheret/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d1a562ae-aa70-4f1f-ad5e-9c5538a60041/resume,Thunder Bay,Ontario,,Canada,,2022-01-31T17:40:24.391Z,2022-02-10T17:23:56.344Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Yimin Yang,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/laurent-cheret/,"Adversarial learning, Bayesian methods, Computer vision, Deep learning, Gaussian processes, Machine learning, Optimization, Recommender systems, Representation learning, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),MSc in Computer Science with focus on Artificial Intelligence,"Software, Telecommunications, Type of Work is More Important to me than Sector",Internship,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",Lakehead University,True,True,True,True +fddc9c5b-798b-46e8-86d7-ee2d7a860219,soham2446@gmail.com,Soham,Mukherjee,https://talenthub.vectorinstitute.ai/profiles/2667898/view_image/1635714852499.jpeg,,,,,,,,,True,False,,,,,,linkedin,2022-01-28T19:46:25.777Z,2022-01-28T19:46:26.220Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/smukherjee42/,,,,,,,,,True,True,True,True +fb68f136-bf57-49b1-bc4b-3e1cc81501a2,yongchanghao.w@gmail.com,Yongchang,Hao,https://talenthub.vectorinstitute.ai/profiles/2767899/view_image/1628354557165.jpeg,,,+1 587 594 2069,,https://yongchanghao.github.io,,https://www.linkedin.com/in/yongchang-hao/,,True,False,,Edmonton,Alberta,,Canada,linkedin,2022-04-13T23:14:06.255Z,2022-04-13T23:14:06.845Z,False,False,Connected to Another AI Institute,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/yongchang-hao/,"Machine learning, Natural language processing, Reinforcement learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computing science,Technology (Information and Media),"Full Time, Internship","Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,False,True,True +0bfc274a-4f8d-43d7-b7a2-231b5bb31f24,parisa.dastmalchi@gmail.com,Parisa,Dastmalchi ,https://talenthub.vectorinstitute.ai/profiles/1965979/view_image/0.jpeg,,,6476155980,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0bfc274a-4f8d-43d7-b7a2-231b5bb31f24/resume,Toronto,Ontario,,Canada,linkedin,2020-09-04T02:40:32.977Z,2020-09-04T02:40:33.263Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,University of Toronto,Already Graduated,,Ms.,https://www.linkedin.com/in/parisadastmalchi/,,Graduate Degree (Masters),Senior Level (5+ Years),Executive Master's of Health Informatics,"Health, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract, Capstone Project",,University of Toronto,True,True,True,True +30f7e86f-438e-4793-8429-5bfa8022846e,claas@voelcker.net,Claas,Voelcker,https://talenthub.vectorinstitute.ai/profiles/2695644/view_image/1516932651580.jpeg,,,,,http://cvoelcker.de,,https://www.linkedin.com/in/claas-voelcker/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/30f7e86f-438e-4793-8429-5bfa8022846e/resume,,,,,linkedin,2022-02-17T17:33:58.285Z,2022-02-17T17:33:58.721Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,"Amir-massoud Farahmand, Animesh Garg",Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/claas-voelcker/,,Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Education, Software, Technology (Information and Media), Technology (Product Development)",Internship,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,False,True,True +3ec25432-c343-4670-8442-501f93fe1b76,canberk697@gmail.com,Canberk,Kandemir,https://talenthub.vectorinstitute.ai/profiles/1690110/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-03-26T08:50:31.092Z,2020-03-26T08:50:31.348Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/canberkkandemir/,,,,,,,,,True,True,True,True +187f04ef-6526-402c-8e4f-349398224128,kishore.jayabalan@gmail.com,KISHORE,JAYABALAN,https://talenthub.vectorinstitute.ai/profiles/2176720/view_image/1609209674632.jpeg,Solution Designer / ML Engineer,,16478288785,,,,https://www.linkedin.com/in/jayabalankishore,,True,False,https://canadaai.jobboard.io/api/v1/profiles/187f04ef-6526-402c-8e4f-349398224128/resume,,,,Canada,linkedin,2021-01-02T21:03:26.959Z,2021-05-08T20:29:08.082Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Canada (+1),Already Graduated,,Mr.,https://www.linkedin.com/in/jayabalankishore,"AI safety, Anomaly detection, Bioinformatics, Computer vision, Data science, Deep learning, Gaussian processes, Healthcare and/or medical imaging, Natural language processing, Optimization, Recommender systems, Reinforcement learning, Robotics, Self-supervised learning",Graduate Degree (Masters),Senior Level (5+ Years),MMAI - Masters of Management in Artificial Intelligence,"Construction or Infrastructure, Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Contract, Capstone Project","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True 84d7878d-f137-4fec-a172-9de2c7be4d74,agarwala@uoguelph.ca,Anush,Agarwal,https://talenthub.vectorinstitute.ai/profiles/1550608/view_image/0.jpeg,MASc Student,Deep learning researcher with interests in applying A.I. to improve healthcare. My thesis research focuses on developing a fully autonomous deep-learning based renal tumor detection algorithm using MRI and CT images. I am interested in leveraging A.I. technology to reduce healthcare costs and improve patient outcomes while delivering ethical solutions that promote health equality and respect patient privacy.,416-418-3248,,,,https://www.linkedin.com/in/anushagarwal/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/84d7878d-f137-4fec-a172-9de2c7be4d74/resume,Guelph,Ontario,,Canada,linkedin,2019-12-03T15:47:32.720Z,2021-05-03T13:44:56.464Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Dr. Eranga Ukwatta,Already Graduated,,Mr.,https://www.linkedin.com/in/anushagarwal/,,Graduate Degree (Masters),Entry Level (0-2 Years),Engineering Systems and Computing,"Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Product Development)","Full Time, Internship, Co-op",,University of Guelph,True,True,True,True +c6d4ac53-2045-4f04-9d89-f27a0631780e,spchandy@schulich.yorku.ca,Sandeep,Chandy,https://talenthub.vectorinstitute.ai/profiles/2168803/view_image/Pic_small.png,Experienced marketing and business development professional ,,647 801 5269,,,,https://www.linkedin.com/in/sandeepchandy,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c6d4ac53-2045-4f04-9d89-f27a0631780e/resume,Toronto,Ontario,,Canada,,2020-12-21T15:12:30.230Z,2021-01-13T23:15:28.994Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/sandeepchandy/,"Computer vision, Deep learning, Natural language processing",Graduate Degree (Masters),Senior Level (5+ Years),Master of Business Analytics,"Financial Services, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Co-op, Contract",,York University,True,True,True,True +51b3bfd8-37b3-4367-86c5-b3629499a311,lokejuanyi@gmail.com,Juan Yi,Loke,https://talenthub.vectorinstitute.ai/profiles/2150976/view_image/1606070338432.jpeg,,,,,,,https://www.linkedin.com/in/juanyiloke/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/51b3bfd8-37b3-4367-86c5-b3629499a311/resume,,,,,linkedin,2020-12-05T04:11:04.626Z,2020-12-05T04:11:04.805Z,False,False,Not Affiliated with Vector,No,Other/Unsure,Joseph Jay Williams,Winter 2023,Research Assistant for a Vector Affiliate,Mr.,https://www.linkedin.com/in/juanyiloke/,"Deep learning, Machine learning, Natural language processing, Recommender systems, Reinforcement learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),"Computer Science, Mathematics, Statistics","Education, Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Product Development)","Internship, Co-op, Capstone Project",,University of Toronto,True,True,True,True +3d289a8e-7868-481c-ae47-f1b6be6c90d3,chau_bill@hotmail.com,Bill,Chau,https://talenthub.vectorinstitute.ai/profiles/1549711/view_image/0.jpeg,"Supervisor of The BRIDGE, a business research and teaching lab at the University of Toronto","I am a data science and programming enthusiast with years’ of experience in the financial industry. Expertize in portfolio modelling, trade management and securities brokerage. ",6478661015,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3d289a8e-7868-481c-ae47-f1b6be6c90d3/resume,Toronto,Ontario,,Canada,linkedin,2019-12-03T03:25:31.653Z,2019-12-03T03:25:31.903Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/bill-chau-cfa-frm-7226294a/,,,,Master of Management Analytics,,"Full Time, Internship, Co-op, Contract, Capstone Project",,Queen's University,True,True,True,True +7ae90528-6f20-47de-8da9-6a456061bdd3,saanikavenkatesh@gmail.com,Saanika,Venkatesh,https://talenthub.vectorinstitute.ai/profiles/1549664/view_image/0.jpeg,"Master of Health Informatics Candidate, University of Toronto | Research Analyst, eHealth Innovation @UHN","A Master of Health Informatics candidate at the University of Toronto with a passion to advance healthcare services and organizations by implementing pragmatic solutions. I am also a Research Analyst at eHealth Innovation, with a goal of augmenting patient care through mobile applications. ",4167258920,,,,https://www.linkedin.com/in/saanikavenkatesh/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/7ae90528-6f20-47de-8da9-6a456061bdd3/resume,,,,,linkedin,2019-12-03T01:40:48.717Z,2019-12-03T01:40:49.305Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,"University of Toronto, Master of Health Informatics program",,,Miss.,https://www.linkedin.com/in/saanikavenkatesh/,,,,1,Telecommunications,"Internship, Co-op",,University of Toronto,True,True,True,True +6d591413-d375-47b6-81bb-af82438826d0,alexander.banh@queensu.ca,Alexander,Banh,https://talenthub.vectorinstitute.ai/profiles/1546755/view_image/Banh_Alex__1_.jpg,Technology Investor,"Since finishing his two undergraduate degrees from Queen’s University in 2015, he has worked in investment banking at the Bank of Montreal, helped Amazon-backed ecobee raise their $127 million Series C, completed a Fellowship at the MaRS Discovery District, and is currently a Principal at Fulcrum Technology Holdings, an emerging technologies-focused merchant bank. At Fulcrum, he specializes in mergers & acquisitions, fundraising, business strategy, particularly for AI- and IoT-enabled investee companies. He is now back at Queen’s pursuing a Master of Management in Artificial Intelligence, the first degree of its kind in the world, sponsored by the Vector Institute, and an Investment Associate at Front Row Ventures, investing exclusively in student-run startups.",6476783725,,,,https://www.linkedin.com/in/alexanderbanh/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6d591413-d375-47b6-81bb-af82438826d0/resume,Toronto,Ontario,,Canada,,2019-12-02T20:59:01.283Z,2019-12-02T20:59:01.357Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,,,Mr.,https://www.linkedin.com/in/alexanderbanh/,,,,MMAI,"Financial Services, Retail, Telecommunications","Full Time, Internship, Co-op, Contract, Capstone Project",,Queen's University,True,True,True,True +c5b9055e-6ece-4e90-b614-bba8b986cded,lina.mntran@gmail.com,Lina,Tran,https://talenthub.vectorinstitute.ai/profiles/1549473/view_image/0.jpeg,PhD Candidate,"I'm currently a PhD Candidate at the University of Toronto. My background is in studying the neuroscience of learning and memory and more recently, have used my neuroscience background to study biologically-inspired deep learning architectures and algorithms. ",,,,,https://www.linkedin.com/in/lina-m-tran/,,True,False,,Toronto,Ontario,,Canada,linkedin,2019-12-02T22:09:20.179Z,2020-07-29T16:33:59.536Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Post Graduate Affiliate,,Already Graduated,,Ms.,https://www.linkedin.com/in/lina-m-tran/,,Postgraduate Degree (PhD),,PhD Physiology,"Education, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media)","Full Time, Contract",,University of Toronto,True,False,True,True befd14c6-d782-41fc-993f-152634681b6d,chinmayamadan@gmail.com,Chinmaya,Madan,https://talenthub.vectorinstitute.ai/profiles/1546606/view_image/0.jpeg,Masters of Management in AI Candidate | Product Thinker | Senior Business Analyst ,"I am passionate about finding creative solutions to thorny problems. As a marketer, I was motivated by consumer behaviour and as a strategist, I was excited by data-driven insights. It’s in systems design, product development and business analysis that I get apply my skills to design features that solve our users problems. Today, I help my team define, execute and prioritize the most profitable features on the product roadmap. At night (and on weekends) I’m enhancing my skillset at Queen’s University to architect AI-enabled solutions.",,,http://www.chinmayamadan.com,,https://www.linkedin.com/in/chinmayamadan/,,True,False,,Toronto,Ontario,,Canada,linkedin,2019-12-02T20:53:39.481Z,2019-12-02T20:53:39.673Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/chinmayamadan/,,,,Masters of Management in Artificial Intelligence,,"Full Time, Capstone Project",,Queen's University,True,True,True,True +d07f8fbe-8585-4306-ac67-a13c453403de,irfan.hakim@mail.utoronto.ca,Irfan,Hakim,https://talenthub.vectorinstitute.ai/profiles/1549739/view_image/0.jpeg,Emerging Health Informatician ,,6479826670,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d07f8fbe-8585-4306-ac67-a13c453403de/resume,Toronto,Ontario,,Canada,linkedin,2019-12-03T04:42:27.415Z,2019-12-03T18:02:03.409Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/irfanhakim616/,,,,Masters of Health Informatics,,"Full Time, Internship, Co-op, Contract, Capstone Project",,University of Toronto,True,False,True,True +0af88269-16bd-4b5d-a9a1-5e381ebc679d,alysashrestha@gmail.com,Alysa,Shrestha,https://talenthub.vectorinstitute.ai/profiles/1549669/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-03T01:52:13.056Z,2019-12-03T01:52:13.225Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/alysa-shrestha-b43a5070/,,,,,,,,,True,True,True,True +63e54076-770d-4209-8bc2-72683d26a995,sarahsawaya123@gmail.com,Sarah,Sawaya,https://talenthub.vectorinstitute.ai/profiles/1550320/view_image/0.jpeg,,,,,,,,,True,False,,Toronto,Ontario,,Canada,linkedin,2019-12-03T13:00:25.300Z,2019-12-03T13:00:25.526Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Miss.,https://www.linkedin.com/in/sarah-sawaya/,,,,Master of Health Informatics,,Internship,,University of Toronto,True,True,True,True +0af88269-16bd-4b5d-a9a1-5e381ebc679d,alysashrestha@gmail.com,Alysa,Shrestha,https://talenthub.vectorinstitute.ai/profiles/1549669/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-03T01:52:13.056Z,2019-12-03T01:52:13.225Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/alysa-shrestha-b43a5070/,,,,,,,,,True,True,True,True +63e54076-770d-4209-8bc2-72683d26a995,sarahsawaya123@gmail.com,Sarah,Sawaya,https://talenthub.vectorinstitute.ai/profiles/1550320/view_image/0.jpeg,,,,,,,,,True,False,,Toronto,Ontario,,Canada,linkedin,2019-12-03T13:00:25.300Z,2019-12-03T13:00:25.526Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Miss.,https://www.linkedin.com/in/sarah-sawaya/,,,,Master of Health Informatics,,Internship,,University of Toronto,True,True,True,True +4ff498f9-86e8-4b27-a5de-224556530f70,sky980328@outlook.com,Tian,Niu,https://talenthub.vectorinstitute.ai/profiles/2803774/view_image/1652030605687.jpeg,Rotman MMA Candidate 2023 | Data Scientist | Data Analyst,"I graduated from University of Waterloo with a bachelor degree where I majored in statistics and minored in computing. I will be attending Master of Management Analytics in University of Toronto in August 2022, and expected to graduate in July 2023. Beside my academic studies, I further developed my data analysis and programming skills by taking online classes.",5489907469,,,,https://www.linkedin.com/in/SkyNiu,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4ff498f9-86e8-4b27-a5de-224556530f70/resume,Toronto,Ontario,,Canada,linkedin,2022-05-09T19:56:01.855Z,2022-05-10T02:11:16.136Z,False,False,Vector Scholarship Recipient,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/search/results/all/?keywords=tian%20niu&origin=GLOBAL_SEARCH_HEADER&sid=fJS,"Data science, Machine learning, Optimization",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,"Financial Services, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +a3be3d2f-b5be-49be-b367-cb8d29259faa,msingarajah@ryerson.ca,Magdalean,Singarajah,https://talenthub.vectorinstitute.ai/profiles/1974193/view_image/dp.jpg,Technology Consultant at Deloitte ,,6479812461,,,,https://www.linkedin.com/in/magdalean/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a3be3d2f-b5be-49be-b367-cb8d29259faa/resume,Toronto,Ontario,,Canada,,2020-09-11T15:43:51.750Z,2020-09-11T15:43:51.781Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/magdalean-singarajah/,,Graduate Degree (Masters),Entry Level (0-2 Years),MEng Electrical and Computer Engineering with AI Concentration,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,"Data Analyst, Data Scientist, Machine Learning Engineer",Ryerson University,True,True,True,True +cf3987e2-4c3a-4370-9e11-37f600635e18,karthikraja.kalaiselvibhaskar@mail.utoronto.ca,Karthik Raja,Kalaiselvi Bhaskar,https://talenthub.vectorinstitute.ai/profiles/1714588/view_image/FullSizeRender_2.jpg,Machine Learning Researcher | Data Scientist | Software Engineer,"I am a Senior Data Scientist/ML Engineer at CIBC. Previously, I worked as a ML Researcher at WangLab affiliated with Vector Institute and University Health Network, proudly advised by Prof. Bo Wang. I completed my Master’s degree in ECE, specialized in Machine Learning at the University of Toronto advised by Prof. Deepa Kundur and by Prof. Yuri Lawryshyn. In my free time I work on projects at the intersection of Machine Learning, Natural Language Processing and Healthcare. Apart from my that, I am also interested in Deep Learning and Deep Reinforcement Learning with the focus of transfer learning, imitation learning, model-based RL. My ultimate goal is to build robust, privacy-preserved, and interpretable algorithms with human like ability to generalize in real-world environments by using data as its own supervision. +I am a Stream Owner and Discussion Group Lead of the “Machine Learning in Healthcare” stream at AISC (Aggregate Intellect), where we discuss one paper at a time every week from basics to state-of-the-art ML papers in HealthCare. I also host several live sessions with global researchers spanning the broad area of ML in HealthCare.",6478046600,,https://www.kbhaskar.com/,,,kbhaskar_95,True,False,https://canadaai.jobboard.io/api/v1/profiles/cf3987e2-4c3a-4370-9e11-37f600635e18/resume,Toronto,Ontario,,Canada,,2020-04-09T21:26:35.893Z,2022-02-11T13:37:04.307Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Bo Wang,Already Graduated,,Mr.,https://www.linkedin.com/in/karthik-raja-k-55689a88/,,Graduate Degree (Masters),Mid-Level (3-5 Years),M.A.Sc - ECE,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract","Data Architect, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Toronto,True,True,True,True +066fa488-d96a-4736-b373-a133e80710f6,gbskohli8@gmail.com,Gursahaj,Kohli,https://talenthub.vectorinstitute.ai/profiles/1932122/view_image/66899035.jpg,Automation Intern @ Vector | Artificial Intelligence Engineer @ Omnidya AI,"Having a coding experience of more than 7 years in Python, I have a combination of technical experience focused on deep learning, machine learning, data engineering, automation and autonomous tasks. Most recently, I conducted research on simulating multivariate time series datasets using deep learning methods such as Generative Adversarial Networks at StarGAN v2 models. Currently I am working at Vector Institute as Automation engineer. Also, I am working as an Artificial Intelligence Engineer at Omnidya AI, California(US). +I am currently pursuing Master of Computer Science specialization in Artificial Intelligence at York University. +Python: +• Data Analysis (NumPy, pandas) +• Data Visualization (Matplotlib, Seaborn) +• Statistics, Applied Math, Time Series Predictions (SciPy, StatsModels) +• Machine Learning (scikit-learn) +• Deep Learning (Keras, TensorFlow) +Other Software and Programming: +• R +• SQL +• Linux +• Git +• Tableau +• Kali Linux +• Selenium +• Scrapy +• API data handling",,,,,https://www.linkedin.com/in/gursahaj-kohli-120a2b131/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/066fa488-d96a-4736-b373-a133e80710f6/resume,,Ontario,,Canada,,2020-08-13T19:39:52.531Z,2022-05-24T18:06:20.655Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/gursahajkohli/,"AI safety, Computer vision, Data science",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,"Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",York University,True,True,True,True +cdfe10c0-36b1-4dbe-a1d6-57ab5bc7fa90,keenburn2004@gmail.com,Keenan,Burnett,https://talenthub.vectorinstitute.ai/profiles/2100290/view_image/0.jpeg,Team Advisor to aUToronto - UofT's Self-Driving Car Team,"I was the Team Lead of aUToronto, UofT's self-driving car team from May 2017 - June 2020 during which time we placed 1st at the SAE AutoDrive Challenge in all three years of the competition. I remain an advisor to team provide key technical and management support. I am currently pursuing my PhD at the Institute for Aerospace Studies under the supervision of Prof. Tim Barfoot and Prof. Angela Schoellig. My current research centers around extending the operational domain of autonomous vehicles to include inclement weather conditions such as rain and snow.",,,http://asrl.utias.utoronto.ca/~keenburn2004/,,https://www.linkedin.com/in/keenan-burnett-aa7ab267/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/cdfe10c0-36b1-4dbe-a1d6-57ab5bc7fa90/resume,Toronto,Ontario,,Canada,linkedin,2020-10-13T14:11:23.175Z,2020-10-13T14:11:23.381Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Angela Schoellig,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/keenan-burnett-aa7ab267/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Aerospace Engineering (Robotics),"Software, Technology (Product Development)","Full Time, Internship, Contract",,University of Toronto,True,False,True,True +6e39ac2b-3da3-44ec-9feb-03d856a65260,dev4488@gmail.com,Devinder,Kumar,https://talenthub.vectorinstitute.ai/profiles/2084778/view_image/0.jpeg,Postdoc - Stanford University,"Currently, I am a postdoc fellow at Stanford University where my research centers around Deep Learning, Explainable AI and its application in Computer Vision, Cognitive Neuroscience & Medical Imaging. +I did my PhD (2017- Feb 2020) on Explainable AI (X-AI) at VIP lab - University of Waterloo & Vector Institute of AI, Toronto where I was supervised by Dr. Alexander Wong (Canada Research Chair in AI & Medical Imaging, UWaterloo) and Dr. Graham Taylor (Canada Research Chair in ML systems).",,,http://www.devinderkumar.com,,https://www.linkedin.com/in/d22kumar/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6e39ac2b-3da3-44ec-9feb-03d856a65260/resume,,,,,linkedin,2020-10-01T18:28:51.951Z,2020-10-02T13:03:38.345Z,False,False,Connected to Vector Research,Yes,Other/Unsure,During PhD I was with - Prof Graham Taylor,Already Graduated,Current - Postdoc@Stanford. PhD - Vector Student Member,Dr.,https://www.linkedin.com/in/d22kumar/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),PhD in ML - Systems Design Engineering,"Financial Services, Health, Professional Services (e.g Consulting), Technology (Information and Media), Type of Work is More Important to me than Sector","Full Time, Contract",,University of Waterloo,True,True,True,True +d5686ccb-7110-48ea-b12e-010ba26d0ff4,anjali.silva@uhnresearch.ca,Anjali,Silva,https://talenthub.vectorinstitute.ai/profiles/2091073/view_image/0.jpeg,Bioinformatician,"I'm a bioinformatician/researcher involved in developing and applying statistical clustering and classification machine learning techniques/tools to large biological/multiomics datasets. Currently, I'm involved in identifying molecular subtypes and novel biomarkers associated with lymphoma. In addition to conducting research, I'm a passionate bioinformatics teacher to undergraduate and graduate students.",,,https://anjalisilva.github.io/,,https://www.linkedin.com/in/anjalisilva/,silva_anjali,True,False,https://canadaai.jobboard.io/api/v1/profiles/d5686ccb-7110-48ea-b12e-010ba26d0ff4/resume,Toronto,Ontario,,Canada,linkedin,2020-10-07T20:16:52.061Z,2020-10-21T19:21:50.461Z,False,False,Connected to Vector Research,Yes,Post Graduate Affiliate,,Already Graduated,,Dr.,https://www.linkedin.com/in/anjalisilva/,,Postgraduate Degree (PhD),Entry Level (0-2 Years),Bioinformatics,"Education, Health, Software, Technology (Information and Media)",Full Time,,University of Guelph,True,True,True,True +49c526ec-7d5b-4295-9a6f-4b6d454b89d2,vipul1996malhotra@gmail.com,Vipul,Malhotra,https://talenthub.vectorinstitute.ai/profiles/2103131/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-10-15T19:19:31.992Z,2021-05-28T14:25:06.735Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/vipul-malhotra-vp/,,Graduate Degree (Masters),Entry Level (0-2 Years),Masters in Computer Science,"Financial Services, Technology (Information and Media), Technology (Product Development)",Full Time,,University of Windsor,True,True,True,True +24192583-f546-4cc6-b43d-7444711aa782,vini@poli.ufrj.br,Vinicius,Ribeiro Machado da Silva,https://talenthub.vectorinstitute.ai/profiles/2103157/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-10-15T19:53:04.753Z,2020-10-15T19:53:05.275Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/vinicius-ribeiro-machado-da-silva-8550b02a/,,,,,,,,,True,True,True,True +331c26d4-4e9e-4aa5-b276-f7b10caa055e,mufan.li@mail.utoronto.ca,Mufan (Bill),Li,https://talenthub.vectorinstitute.ai/profiles/2090763/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-10-07T15:10:08.659Z,2020-10-07T15:10:09.009Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/mufan-bill-li-35749833/,,Postgraduate Degree (PhD),,,,,,,True,False,True,True +f17eafb9-44bd-4795-9b96-01493a3da22e,cui.patricia@gmail.com,Patricia,Cui,https://talenthub.vectorinstitute.ai/profiles/2104118/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-10-16T20:33:22.402Z,2020-10-16T20:33:23.127Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/patricia-cui-tiange/,,,,,,,,,True,False,True,True +d4950b4b-3db8-4952-88a8-5ab49789ca10,zhz128ly@gmail.com,Yang,Zhou,https://talenthub.vectorinstitute.ai/profiles/2106379/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-10-19T15:12:09.191Z,2020-10-19T15:12:09.475Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,True,True,True +51257419-6d0d-482b-a002-77344bc7a78e,brennema@mcmaster.ca,Elora,Wilson,https://talenthub.vectorinstitute.ai/profiles/2101628/view_image/DSC_0191.JPG,,"Doctor of Philosophy graduand from McMaster University in Kinesiology with a specialization in Biomechanics. Nine years’ experience in a fast-paced academic research environment, with demonstrated excellence in data analysis, modeling, and statistics resulting in publication of manuscripts in peer-reviewed journals. Demonstrated success working in a diverse environment via completion of large and complex multi-disciplinary research projects in my PhD. Excellent time-management, organizational skills, problem-solving, and analytical skills. Looking to apply my skills in a driven and collaborative work environment. ",,,,,https://www.linkedin.com/in/elorabrenneman/,EloraBrenneman,True,False,https://canadaai.jobboard.io/api/v1/profiles/51257419-6d0d-482b-a002-77344bc7a78e/resume,Ottawa,Ontario,,Canada,,2020-10-14T15:03:07.500Z,2020-11-24T18:50:59.557Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,Recently defended and submitted my PhD thesis. I have a keen interest in data science and analytics.,Mrs.,https://www.linkedin.com/in/elorabrenneman/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Kinesiology (Biomechanics),"Health, Public Administration (i.e Gov't), Technology (Product Development)","Full Time, Contract",,McMaster University,True,False,True,True +b5ea34fc-81a9-40ff-bf30-f444ed09c1d6,cs.sarojbasnet@gmail.com,Saroj,Basnet,https://talenthub.vectorinstitute.ai/profiles/2247629/view_image/1607449183891.jpeg,ML Researcher/Software Engineer ,"Timeseries, Recurrent Models, Clinical Data",6476740832,,,,https://www.linkedin.com/in/tsuyog,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b5ea34fc-81a9-40ff-bf30-f444ed09c1d6/resume,Regina,Saskatchewan,,Canada,linkedin,2021-02-26T16:48:59.458Z,2021-03-03T21:10:42.389Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Fall 2021,"I do not see option that fits me, As I am CS Graduate students at University of Regina",Mr.,https://www.linkedin.com/in/tsuyog,"Deep learning, Healthcare and/or medical imaging, Machine learning, Time-series forecasting and modelling",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Computer Science,"Financial Services, Health, Software, Technology (Product Development)","Internship, Co-op",,Other,True,True,True,True +8cd0f8f8-faf0-43d4-b8e2-733202d6c3fd,shaiyan.o.keshvari@gmail.com,Shaiyan,Keshvari,https://talenthub.vectorinstitute.ai/profiles/2217292/view_image/1517539367346.jpeg,Postdoc,"I am currently a postdoctoral researcher at York University. My work aims to bring together mathematical and machine learning methods with behavioral and neuroscientific data to better our understanding of the mind. +My main field of study is modeling and human vision. I use various mathematical techniques, from signal processing to deep learning, to attempt to describe how humans see.",2149081332,,http://shaiyan.com,,https://www.linkedin.com/in/shaiyankeshvari/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8cd0f8f8-faf0-43d4-b8e2-733202d6c3fd/resume,Toronto,Ontario,,Canada,linkedin,2021-02-04T02:14:52.415Z,2021-02-04T02:14:52.721Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,James H. Elder,Already Graduated,Postdoc of Faculty Affiliate,Dr.,https://www.linkedin.com/in/shaiyankeshvari/,"Bayesian methods, Computational biology, Neuroscience",Postgraduate Degree (PhD),Senior Level (5+ Years),Brain and Cognitive Sciences,Type of Work is More Important to me than Sector,Full Time,,York University,True,False,True,True +fb51c1fd-3804-4db9-a10c-fc7cf6f493fb,yi.sui@mail.utoronto.ca,yi,sui,https://talenthub.vectorinstitute.ai/profiles/2078113/view_image/Yi-Sui.jpg,,,2267892609,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/fb51c1fd-3804-4db9-a10c-fc7cf6f493fb/resume,Markham,Ontario,,Canada,,2020-09-24T20:12:54.096Z,2021-10-08T20:45:25.576Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/yi-sui-90513699/,"Data science, Deep learning, Interpretability",Graduate Degree (Masters),Entry Level (0-2 Years),Mechanical and Industrial engineering,"Education, Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Type of Work is More Important to me than Sector",Full Time,"Data Scientist, Machine Learning Engineer",University of Toronto,True,True,True,True +e2e89689-ba7a-4f59-98f5-92783ff1567c,pavanbalaji22@gmail.com,Pavan Balaji,Kumar,https://talenthub.vectorinstitute.ai/profiles/2080042/view_image/0.jpeg,First year Master's Student,,6138692912,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e2e89689-ba7a-4f59-98f5-92783ff1567c/resume,Ottawa,Ontario,,Canada,linkedin,2020-09-27T06:39:43.032Z,2021-03-23T15:54:01.225Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/pavan-balaji-867670190/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Computer Science concentration in Applied Artificial Intelligence,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Capstone Project",,University of Ottawa,True,True,True,True +3b6a05a6-4adb-4b8e-89ec-961673109a3c,farnazsm72@gmail.com,Farnaz,Mozaffari,https://talenthub.vectorinstitute.ai/profiles/2076270/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-09-23T15:50:52.534Z,2020-09-23T15:50:52.749Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/farnaz-mozaffari/,,,,,,,,,True,False,True,True +92f0edb0-6a0a-4565-8fa5-29289cd5d8da,muhammadnoman.siddiqui@queensu.ca,Muhammad Noman,"Siddiqui, CFA",https://talenthub.vectorinstitute.ai/profiles/2078116/view_image/DSC_3097__Nov_22_11__-400__Copy__crop.jpg,Data analytics and finance professional,"I am a seasoned professional combining several years of infrastructure and project financing and advisory experience with a master’s in management analytics. Ideally suited to roles that require deep analytical mindset connecting my existing experience and leadership and communication abilities with the knowledge of data analytics and applications of machine learning and artificial intelligence. +Specialities +- Python, R, Pyspark, SQL, Tableau, MS Excel +- RStudio, Jupyter Notebooks, Microsoft Azure Databricks +- Predictive modelling, machine learning, artificial intelligence, big data analytics +- Financial modelling ",,,,,https://www.linkedin.com/in/muhammad-noman-siddiqui-cfa-9718808/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/92f0edb0-6a0a-4565-8fa5-29289cd5d8da/resume,,,,,,2020-09-24T20:12:54.326Z,2020-09-25T11:33:16.438Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/muhammad-noman-siddiqui-cfa-9718808/,,Graduate Degree (Masters),Senior Level (5+ Years),Data/Management Analytics,"Construction or Infrastructure, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail",Full Time,,Queen's University,True,True,True,True +89d95b38-f668-4e04-a28e-8a4107e6cf2c,shiyongli214@gmail.com,Yongli (Lilian),Shi,https://talenthub.vectorinstitute.ai/profiles/2077103/view_image/0.jpeg,,,7789804237,,,,https://linkedin.com/in/yongli-lilian-shi,,True,False,https://canadaai.jobboard.io/api/v1/profiles/89d95b38-f668-4e04-a28e-8a4107e6cf2c/resume,Toronto,Ontario,,Canada,linkedin,2020-09-24T02:57:08.469Z,2020-09-24T02:57:08.642Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/yongli-lilian-shi-331192156/,,Graduate Degree (Masters),Entry Level (0-2 Years),Management Analytics,"Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship",,University of Toronto,True,True,True,True +a15ddb4a-b075-459b-8ec9-cb3d21e0ebae,zwang863@uwo.ca,Zixuan,Wang,https://talenthub.vectorinstitute.ai/profiles/1980337/view_image/Digital_Photo.jpeg,,,6479395322,,,,,,True,False,,Toronto,Ontario,,Canada,,2020-09-17T16:54:32.988Z,2021-01-26T18:03:48.669Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/stella-zixuan-wang-5056361b1/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Analytics,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op",,Western University,True,True,True,True +e725739e-3b8b-4f05-8b6a-b3a20ccfa08c,14kb55@queensu.ca,Karen,Batch,https://talenthub.vectorinstitute.ai/profiles/2071895/view_image/0.jpeg,MSc Student,,,,,,https://www.linkedin.com/in/karen-batch-013348111/,,True,False,,Kingston,Ontario,,Canada,linkedin,2020-09-21T17:57:40.072Z,2020-09-21T17:57:40.292Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Amber Simpson,Already Graduated,,Ms.,https://www.linkedin.com/in/karen-batch-013348111/,,Graduate Degree (Masters),Entry Level (0-2 Years),MSc in Computer Science - Field of Study in Artificial Intelligence,"Health, Software, Technology (Information and Media), Technology (Product Development)",Full Time,,Queen's University,True,True,True,True +e78db5c1-dc1f-4bc2-820c-12d5854d6340,paulelongo@gmail.com,Paul,Longo,https://talenthub.vectorinstitute.ai/profiles/2075145/view_image/0.jpeg,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e78db5c1-dc1f-4bc2-820c-12d5854d6340/resume,,,,,linkedin,2020-09-22T16:24:35.918Z,2020-09-22T16:24:36.101Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2021,,Mr.,https://www.linkedin.com/in/paul-longo-70713724/,,Graduate Degree (Masters),Senior Level (5+ Years),"Engineering, Management of Artificial Intelligence",,"Full Time, Capstone Project",,Queen's University,True,True,True,True +8f39058c-15e1-41a1-8f31-b5cf5ccd404b,sovikkn@gmail.com,Sovik K.,Nath,https://talenthub.vectorinstitute.ai/profiles/2073243/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-09-22T02:32:19.036Z,2020-09-22T02:32:19.613Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/sovik-k-nath/,,,,,,,,,True,True,True,True +0240f9bf-3554-494b-b8e6-01bdf8070382,shasha3493@gmail.com,Shashank,Saurav,https://talenthub.vectorinstitute.ai/profiles/2171105/view_image/1607795772866.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-12-24T21:46:20.878Z,2020-12-24T21:46:21.029Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/shasha3493/,,,,,,,,,True,True,True,True +8846590a-fc6e-4087-8971-393e408912d4,amathsow88@outlook.fr,Amath,SOW,https://talenthub.vectorinstitute.ai/profiles/1857508/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2020-07-04T19:04:42.929Z,2020-07-04T19:04:43.099Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/amath-sow-750a24113/,,,,,,,,,True,True,True,True +7d90301d-afc0-45aa-b413-53cde883adb1,jingyihou915@gmail.com,Jingyi (Claire) ,Hou,https://talenthub.vectorinstitute.ai/profiles/3017117/view_image/1517594385460.jpeg,Skilled in trending and variance analysis that provide insights and help key business decisions," + + I am a finance professional with a passion for numbers and a dedication to accuracy. + + +✔ I bring a solid understanding of Financial Accounting Standards via the CPA education program and work experience. + +✔ As an excellent analyzer, I am able to manage large sets of data and provide valuable forecasts through clear and concise presentations that strongly support key business decisions. + +✔ I am very proficiency in using Microsoft Office Suite (Excel) and Google Applications in addition to having familiarity with VBA/Macro, SQL + +✔ I am also a dedicated self-starter and reliable team player who delivers quality results within firm deadlines by prioritizing effectively, using time efficiently and maintaining organization at all times. + +Having come to Canada as an international student from China, I have demonstrated my eagerness to accept new challenges and embrace new learning opportunities. I also developed many essential strengths and skills that apply to my work including initiative, critical thinking, problem-solving, resourcefulness and adaptability.",416-835-3666,,,,https://www.linkedin.com/in/clairehou/,,True,False,,Toronto,Ontario,,Canada,linkedin,2022-09-24T13:45:24.795Z,2022-09-26T21:10:31.951Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Ms.,https://www.linkedin.com/in/clairehou/,"Machine learning, Natural language processing, Optimization, Recommender systems",Graduate Degree (Masters),Senior Level (5+ Years),Master of Management Analytics,Type of Work is More Important to me than Sector,"Full Time, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst",Queen's University,True,True,True,True +9eb40288-32b1-4358-be1b-4e97555de5ab,philippe.nadeau@robotics.utias.utoronto.ca,Philippe,Nadeau,https://talenthub.vectorinstitute.ai/profiles/1805126/view_image/ProfilePic.png,,,,,,,https://www.linkedin.com/in/nadeauphilippe/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9eb40288-32b1-4358-be1b-4e97555de5ab/resume,Toronto,Ontario,,Canada,,2020-05-27T15:11:23.294Z,2020-06-25T13:33:05.774Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,Jonathan Kelly,Already Graduated,,Mr.,Not Found,,Graduate Degree (Masters),Mid-Level (3-5 Years),MASc Aerospace Science and Engineering,Type of Work is More Important to me than Sector,Internship,,University of Toronto,True,True,True,True +17835dcf-2c93-4af8-82a3-8539573b312b,amin.kamaleddin@mail.utoronto.ca,Amin,Kamaleddin,https://talenthub.vectorinstitute.ai/profiles/2203968/view_image/1551719963534.jpeg,Ph.D. Candidate in Neuroscience & Biomedical Engineering | University of Toronto,"I am an engineer by training, with a passion to apply novel technologies to unlock emerging medical treatments. +• Ph.D. Candidate in Biomedical Engineering & Neuroscience at the Toronto Hospital for Sick Children (SickKids). +- I study how biophysical features, including ion channels and membrane electrical properties, affect information processing and computations in neurons. In particular, I combine electrophysiology, optogenetics, and biophysical modeling to investigate neuronal excitability and neural coding in the mouse brain and spinal cord. +- Skilled in Whole-Cell Patch-Clamp Recording and Computational Modeling (using NEURON). +- Developed expertise in data acquisition and analysis using MATLAB and Python. +- Experienced with Multi-Photon Imaging and RNA-seq. +• Governor at the University of Toronto. +- Experienced with Higher Education Governance, Strategic Planning, and Institutional Leadership. +• Amin.Kamaleddin@mail.utoronto.ca ",,,,,https://www.linkedin.com/in/kamaleddin/,,True,False,,Toronto,Ontario,,Canada,linkedin,2021-01-25T04:20:27.570Z,2021-01-25T18:54:44.099Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Student or Postdoc of a Vector Faculty Member,,Already Graduated,,Mr.,https://www.linkedin.com/in/kamaleddin/,"Computational biology, Data science, Machine learning, Neuroscience, Wearable technology and/or Internet of Things",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Biomedical Engineering,"Health, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development)","Internship, Co-op",,University of Toronto,True,True,True,True df764e14-928d-45fd-9053-5828477e760c,asleshapokhrel21@gmail.com,Aslesha,Pokhrel,https://talenthub.vectorinstitute.ai/profiles/1856174/view_image/Profile.jpg,"MSc in Applied Computing at UofT, Vector Scholar in AI",,(647) 871-4521,,,,https://www.linkedin.com/in/aslesha-pokhrel/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/df764e14-928d-45fd-9053-5828477e760c/resume,Toronto,Ontario,,Canada,linkedin,2020-07-03T15:16:03.452Z,2021-09-22T22:14:18.585Z,False,False,Connected to Vector Research,Yes,Vector Scholarship Recipient,Anna Goldenberg,Winter 2023 (December 2022 - March 2023),,Miss.,https://www.linkedin.com/in/aslesha-pokhrel/,"Bayesian methods, Computational biology, Computer vision, Data science, Deep learning, Graphical models, Healthcare and/or medical imaging, Machine learning, Natural language processing, Self-supervised learning, Time-series forecasting and modelling, Unsupervised learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Financial Services, Health, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation",Full Time,"Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True b15c696c-942f-4243-89c7-d2dd8d061942,amsohi.arash@gmail.com,Arash,Mollajafari,https://talenthub.vectorinstitute.ai/profiles/2504448/view_image/photo_2021-09-23_02-56.jpg,Machine Learning Engineering | Data Science | Recent Grad Masters @ University of Waterloo,"- I am an ML engineer/Data scientist and a recent CS Master's graduate from UWaterloo. My master's and specialty were mainly focused on Natural Language Processing, Information Retrieval, and Transformers. However, I am familiar and experienced with other aspects of machine learning such as Computer Vision through my courses. - I am also experienced as a software engineer at the industry level before my masters, focused on backend development which makes me have strong teamwork and collaboration skills due to exposure to both the industry and academia. @@ -3435,42 +3524,12 @@ d20c1649-905a-4322-82c2-d84422c178bf,vafaie.parsa@gmail.com,Parsa,Vafaie,https:/ 6862f64b-3733-4300-b92a-8df27eff3f21,ianberlot@cs.toronto.edu,Ian,Berlot-Attwell,https://talenthub.vectorinstitute.ai/profiles/2684700/view_image/0_square_image2.JPG,,"I am a PhD student and course instructor at the University of Toronto, researching explicit and compositional reuse of knowledge and skills at the intersection of language and vision. My research interests include VQA, compositional generalization, self-supervised learning, and meta-learning. ",289-400-3197,,https://www.cs.toronto.edu/~ianberlot/,,,,True,False,,,,,,,2022-02-09T17:47:03.390Z,2022-02-14T01:25:59.856Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Professor Frank Rudzicz,Spring/Summer 2024 (April - July),,Mr.,N/A,"Computer vision, Machine learning, Natural language processing",Postgraduate Degree (PhD),Mid-Level (3-5 Years),PhD in Computer Science,Type of Work is More Important to me than Sector,Internship,"Machine Learning Researcher/Scientist , Other ",University of Toronto,True,False,True,True 667b40aa-fff1-41b5-a53f-2d452bc35373,sean.gao1@outlook.com,Shuang,Gao,https://talenthub.vectorinstitute.ai/profiles/2382426/view_image/Shuang_Gao_portrait.jpg,Data Analytics student at Western University,,4034002951,,,,https://www.linkedin.com/in/shuanggao5678/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/667b40aa-fff1-41b5-a53f-2d452bc35373/resume,,,,,,2021-06-02T13:19:18.902Z,2021-06-03T15:47:52.959Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/shuanggao5678,"Data science, Deep learning, Game theory, Gaussian processes, Machine learning, Meta-learning, Quantum computing, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Analytics,"Financial Services, Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Transportation","Full Time, Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",Western University,True,True,True,True -f67ca115-2f7e-460c-a62a-2dec9fd77ca1,tsivakar@uwaterloo.ca,Thanushon,Sivakaran,https://talenthub.vectorinstitute.ai/profiles/3411332/view_image/1569639665851.jpeg,Mechatronics Engineering @ University of Waterloo | Ex Software Engineering Intern @ Apple,"Mechanical, electrical, system design and software. All these engineering disciplines make up what I love about Mechatronics Engineering - I enjoy trying new things outside my comfort zone and I am completely devoted to expanding my knowledge in all areas. - -Whether it is teaching myself to develop Android apps, collaborating with others to create a 120 lb robot or training others in the sport of tennis, you can count on me to get the job done. - -Feel free to send me a message and let's talk! -",,,https://github.com/thanusiv,,https://www.linkedin.com/in/thanushonsiva/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/f67ca115-2f7e-460c-a62a-2dec9fd77ca1/resume,,,,,,2023-04-22T04:58:17.053Z,2023-05-26T20:58:25.328Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/thanushonsiva/,"Adversarial learning, Generative modeling, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),"Electrical and Computer Engineering, MASc",Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Waterloo,True,True,True,True -deb81d74-3e0a-46d2-ac85-e4a310e16a33,hdawkins@uoguelph.ca,Hillary,Dawkins,https://talenthub.vectorinstitute.ai/profiles/2866538/view_image/20181008_145909.jpg,Ph.D. Candidate studying gender bias in NLP,"Currently pursuing a Ph.D. in Computer Science at the University of Guelph, my research tackles gender bias in natural language processing systems. More broadly, I'm interested in applying artificial intelligence for social good, particularly in the education domain. I have been a Data Science for Social Good Fellow at the University of Washington, a Data Scientist for a UK-based charity, and have published in the domain of computer science and physics education research. Previously, I conducted my MSc research at the Institute for Quantum Computing (University of Waterloo), and I continue to work as a software developer creating compilation and diagnostic tools that support modern quantum computers. I am an experienced teaching assistant with practice in content development and remote lecture delivery. ",,,,,,,False,False,https://canadaai.jobboard.io/api/v1/profiles/deb81d74-3e0a-46d2-ac85-e4a310e16a33/resume,Guelph,Ontario,,Canada,,2022-06-20T21:16:56.331Z,2023-04-29T15:10:00.639Z,True,True,Unaffiliated PhD Graduate/Candidate,Yes,Post Graduate Affiliate,,Winter 2023 (December 2022 - March 2023),,Miss.,https://www.linkedin.com/in/hillary-dawkins-8537a13a/,"Fairness, Natural language processing, Quantum computing",Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Science,"Education, Health, Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Contract, Capstone Project","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer, Other ",University of Guelph,True,True,True,True 60dca794-80b1-4c75-883a-bd910db84866,kaushik.saripalli@gmail.com,Hari,Saripalli,https://talenthub.vectorinstitute.ai/profiles/2761884/view_image/1612725413370.jpeg,,,,,,,https://www.linkedin.com/in/harisaripalli/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/60dca794-80b1-4c75-883a-bd910db84866/resume,,,,,linkedin,2022-04-09T15:42:46.554Z,2022-09-24T23:42:02.310Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/harisaripalli/,"Computer vision, Data science, Deep learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management Analytics,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Product Development), Telecommunications",Full Time,"Business Analyst/Business Intelligence Analyst , Data Scientist, Product/Project Manager",Queen's University,True,True,True,True c827aaf1-303b-471b-8429-ac2878f50258,tnaveen1998@gmail.com,Naveen,Thangavelu,https://talenthub.vectorinstitute.ai/profiles/3182077/view_image/1668012003960.jpeg,MScAC student at University of Toronto,Motivated graduate student pursuing MSc in Applied Computing at the University of Toronto with demonstrated experience in software development and Machine Learning research. I am looking to apply my development and research expertise in projects solving real-world problems.,4379740936,,,,https://www.linkedin.com/in/naveenthangavelu/,,False,False,,Toronto,Ontario,,Canada,linkedin,2022-12-16T00:55:30.746Z,2023-06-12T13:34:29.971Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/naveenthangavelu/,"Data science, Deep learning, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Applied Computing,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True 3f53d62f-12df-4a97-af97-31862205854c,dana_elsaid@hotmail.com,Dana,Elsaid,https://talenthub.vectorinstitute.ai/profiles/3488411/view_image/thumbnail_PHOTO-2023-04-22-01-59-03.jpg,Master of Health Informatics Candidate,"Dana holds a Bachelors degree in Health Sciences from the University of Ottawa. With experience in the non-profit sector, she has managed projects related to the UN Decade of Healthy Ageing and Mental Health. Currently pursuing a Masters in Health Informatics, Dana aims to leverage her expertise in AI and health systems to improve healthcare delivery. Her passion lies in chronic disease prevention and management, with a focus on creating a better quality of life for present and future generations. ",6134029209,,,,https://www.linkedin.com/in/dana-elsaid/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/3f53d62f-12df-4a97-af97-31862205854c/resume,Toronto,Ontario,,Canada,,2023-05-30T20:48:29.882Z,2023-06-16T18:28:58.493Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Winter 2024 (December 2023 - March 2024),,Ms.,https://www.linkedin.com/in/dana-elsaid/,"Generative modeling, Healthcare and/or medical imaging, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Health Informatics,"Education, Health, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Contract","Data Analyst, Data Scientist, Product/Project Manager, Other ",University of Toronto,True,True,True,True -4ddbf6aa-a434-4901-bbee-32b6226deb73,janebroomfield42@gmail.com,Jane,Broomfield,https://talenthub.vectorinstitute.ai/profiles/3395678/view_image/me_jb.jpg,Experienced IT Professional,"When it comes to my work, my strength is being able to gather information, analyze and digest it and then, provide answers and solutions for all types of requests and problems which are realistic. sustainable and understandable by all. - -The following skills allow me to fill many roles in an organisation: -- requirement gathering and refinement (pre and post-sales), -- solution/application/system architecture -- software engineering, -- DevOps and task automation, -- software engineering, -- ETL solutions, -- data science tasks, including data analysis, reporting, and dashboards, -- resolve system outages and other user Incidents to get the business working again, -- provide user support and training, (first, and second-level support) -- business process analysis and design -- team lead - -I also manage day-to-day tasks, such as server and application patching and making sure everything is running as efficiently as possible.",,,,,https://www.linkedin.com/in/jane-broomfield-2760002/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/4ddbf6aa-a434-4901-bbee-32b6226deb73/resume,Vancouver,British Columbia,,Canada,linkedin,2023-04-14T03:07:48.810Z,2023-05-17T15:01:45.324Z,True,False,Other Vector Programming,Yes,Other Vector Programming,,Already Graduated,Caregivers and Machine Learning,Ms.,https://www.linkedin.com/in/jane-broomfield-2760002/,,Undergraduate Degree (Bachelors),Senior Level (5+ Years),"University of Essex, Cell/Cellular and Molecular Biology","Education, Health, Professional Services (e.g Consulting), Software, Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True -3a881e91-c3f8-4b61-bac3-81a589e3b370,sadiya.afrin1@g.bracu.ac.bd,Sadiya,Afrin,https://talenthub.vectorinstitute.ai/profiles/3490609/view_image/1624388551220.jpeg,,,,,,,https://www.linkedin.com/in/sadiyaafrin21,,False,False,https://canadaai.jobboard.io/api/v1/profiles/3a881e91-c3f8-4b61-bac3-81a589e3b370/resume,,,,,linkedin,2023-05-31T16:05:19.568Z,2023-05-31T16:05:19.988Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Winter 2025 (December 2024 - March 2025),,Ms.,https://www.linkedin.com/in/sadiyaafrin21,"AI safety, Privacy, anonymity, and/or security",Graduate Degree (Masters),Entry Level (0-2 Years),IT Security,,"Full Time, Internship",Other ,OntarioTech University,True,True,True,True -b1b37d8b-883e-465a-a3fa-c1d510564505,muzammil.m.elahi@gmail.com,Muzammil,Elahi,https://talenthub.vectorinstitute.ai/profiles/2496303/view_image/1516071317391.jpeg,Developer/Analyst | Msc Student @ Ryerson,"Growth-oriented Computer Science graduate with a curiosity and passion for Data Science and Software Engineering. Looking to learn new things while adding value to your firm. Open to anything (software dev, DevOps, analyst, etc.) -Hobbies Include fitness, basketball, Video games, and watching sitcoms.",6475508213,,,,https://www.linkedin.com/in/muzammil-elahi/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/b1b37d8b-883e-465a-a3fa-c1d510564505/resume,Mississauga,Ontario,,Canada,linkedin,2021-09-03T23:15:00.792Z,2023-05-13T23:31:07.971Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/muzammil-elahi/,"Data science, Interpretability, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Data Science & Analytics,"Financial Services, Health, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",Ryerson University,True,True,True,True -b504dbc2-4d4a-4209-88ad-88d1c082cb3d,dhrun.lauwers@gmail.com,Dhrun,Lauwers,https://talenthub.vectorinstitute.ai/profiles/1972987/view_image/0.jpeg,Data Science Manager,Young team lead with a diverse background and hands-on experience building and deploying technology solutions for large enterprises.,,,,,https://linkedin.com/in/dhrunlauwers,,False,False,,Toronto,Ontario,,Canada,linkedin,2020-09-10T14:41:44.519Z,2023-01-12T13:36:48.267Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/dhrunlauwers/,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Management in Artificial Intelligence,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Product Development)","Full Time, Contract",,York University,True,True,True,True -edb8cb2c-720e-4f16-9933-3d609813cb1b,shaiyank@yorku.ca,Shaiyan,Keshvari,https://talenthub.vectorinstitute.ai/profiles/2216706/view_image/1393010100.jpg,Postdoctoral Researcher,"I am currently a postdoctoral researcher at York University, where I work to bring together mathematical and machine learning methods with behavioral and neuroscientific data to better our understanding of the mind. I am also recently applying this work to improve robustness in deep learning. Visit my personal site at www.shaiyan.com.",2149081332,,http://www.shaiyan.com,,https://www.linkedin.com/in/shaiyankeshvari/,,False,False,,Toronto,Ontario,,Canada,,2021-02-03T16:21:53.209Z,2023-05-25T19:36:08.844Z,True,True,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,James Elder,Already Graduated,,Dr.,https://www.linkedin.com/in/shaiyankeshvari/,"Bayesian methods, Computer vision, Neuroscience",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Brain and Cognitive Sciences,"Education, Technology (Product Development)",Full Time,"Machine Learning Researcher/Scientist , Other ",Other,True,True,True,True -a9e36468-f62c-4109-8bd9-8c1b8f1e031a,ruemutamiri@gmail.com,Rutendo,Shamuyarira,https://talenthub.vectorinstitute.ai/profiles/2801252/view_image/profile.png,Data Scientist,,+263774821157,,,,https://www.linkedin.com/in/rueshamuyarira/,Tendow77,False,False,https://canadaai.jobboard.io/api/v1/profiles/a9e36468-f62c-4109-8bd9-8c1b8f1e031a/resume,,,,,,2022-05-08T00:55:36.113Z,2023-05-25T17:51:32.046Z,True,True,Connected to Vector Research,Yes,Other Vector Programming,,Already Graduated,Mothers in Machine Learning Participant,Mrs.,https://www.linkedin.com/in/rutendomutamiri/,"Anomaly detection, Computer vision, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),MSc Big Data Analytics,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract","Data Analyst, Data Scientist",Other,True,True,True,True 02d1eeef-6eb7-4b30-885d-678f57a361ff,jonlorraine@gmail.com,Jonathan,Lorraine,https://talenthub.vectorinstitute.ai/profiles/2113364/view_image/0.jpeg,,"I'm a Ph.D. student in machine learning at the University of Toronto and at the Vector Institute. My research interests are in hyperparameter optimization, learning in games and - more generally - nested optimization.",14169120863,,https://www.cs.toronto.edu/~lorraine/,,https://www.linkedin.com/in/lorraine94/,jonLorraine9,False,False,https://canadaai.jobboard.io/api/v1/profiles/02d1eeef-6eb7-4b30-885d-678f57a361ff/resume,Toronto,Ontario,,Canada,linkedin,2020-10-26T17:55:06.715Z,2023-06-06T18:08:05.855Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,David Duvenaud,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/lorraine94/,"Deep learning, Machine learning, Optimization",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science - Machine Learning Group,"Financial Services, Type of Work is More Important to me than Sector","Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",University of Toronto,True,True,True,True bef6916d-1315-4a0c-814e-b1caaee81687,jmorra6@uwo.ca,Jacob,Morra,https://talenthub.vectorinstitute.ai/profiles/2692905/view_image/20220719_121920-modified.png,Student and Occasional Lecturer,"I am a fourth year Computer Science and Neuroscience PhD student whose research sits at the boundary between Connectomics and Artificial Intelligence: specifically, in my work I look towards the brain in order to gain insights which can help to improve machine learning algorithms. Currently, I am focused on the topology of the fruit fly olfactory system neural network: Can elements of this structure be imposed onto a machine learning algorithm (ex: Reservoir Computing); can it improve performance on a supervised time-series prediction task? ",(289)404-0725,,,,https://www.linkedin.com/in/jacob-morra-5b74421ab/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/bef6916d-1315-4a0c-814e-b1caaee81687/resume,London,Ontario,,Canada,,2022-02-15T22:46:31.971Z,2023-05-31T19:53:44.977Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Mark Daley,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/jacob-morra-5b74421ab/,"Machine learning, Neuroscience, Time-series forecasting and modelling",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science and Neuroscience,Type of Work is More Important to me than Sector,"Internship, Co-op, Contract","Machine Learning Engineer, Machine Learning Researcher/Scientist ",Western University,True,False,True,True 5ae90243-6629-496a-8d0d-b3a1480720bd,salar.hosseinikhorasgani@mail.utoronto.ca,Salar,Hosseini Khorasgani,https://talenthub.vectorinstitute.ai/profiles/2493595/view_image/salar.jpg,Machine Learning Research Intern at Samsung Research America,,6479854579,,https://salarios77.github.io/,,https://www.linkedin.com/in/salar-hosseini/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/5ae90243-6629-496a-8d0d-b3a1480720bd/resume,Toronto,Ontario,,Canada,,2021-09-01T20:47:33.711Z,2023-06-06T00:36:25.903Z,False,True,Connected to Vector Research,Yes,Vector Scholarship Recipient,Florian Shkurti,Already Graduated,,Mr.,https://www.linkedin.com/in/salar-hosseini/,"Computer vision, Deep learning, Self-supervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True -dd4ec5e1-e51d-4328-aeb2-1f10068f26c0,pjalpa015@gmail.com,Jalpa Deepak,Patel,https://talenthub.vectorinstitute.ai/profiles/2317536/view_image/1607863178889.jpeg,"Software Developer, Pursuing Masters","I have previous experience as a Software Developer, recently worked at Ground Effects, Canada. I am pursuing a Masters's in Computer Science Degree at the University of Windsor, Canada. Through my journey of Masters degree, I have developed Machine Learning skills, and I am looking forward to ML and MLOps job opportunities. ",6474591507,,,,https://www.linkedin.com/in/pjalpa015/,jalpa_015,False,False,https://canadaai.jobboard.io/api/v1/profiles/dd4ec5e1-e51d-4328-aeb2-1f10068f26c0/resume,Windsor,Ontario,,Canada,linkedin,2021-04-15T23:25:00.247Z,2022-08-31T19:43:02.427Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/pjalpa015/,"Graphical models, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Financial Services, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Transportation",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Windsor,True,True,True,True 1e6b672a-212b-487b-b162-e1c4e9f64d54,hawa.latuke@gmail.com,Hawa,Latuke,https://talenthub.vectorinstitute.ai/profiles/3027800/view_image/image0__2_.jpeg,Master of Management Analytics Candidate @ Rotman | Aspiring Data Analytics Leader,"Masters’ candidate possessing a passion for data analytics with experiences in financial services and consumer packed goods industries. - Strong research and analytical skills through uncovering insights from multiple databases with large volumes of data. @@ -3499,8 +3558,6 @@ and experience in working with AWS. I came up with the complete plan for analyzi the scripts for data migration from Dataloop to S3 which reduces the costs significantly. Moreover, I got more comfortable with Docker and containers by optimizing the AI base image from AWS TF 2.9.1 image.",5192818406,,https://github.com/mamyou96,,https://www.linkedin.com/in/mohammad-younesi/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b7e02440-b141-4cb7-ae7c-020bd63fc3b3/resume,London,Ontario,,Canada,,2020-05-27T22:34:50.530Z,2022-11-20T20:29:54.410Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/mohammad-younesi/,,Graduate Degree (Masters),Entry Level (0-2 Years),Artificial Intelligence,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Western University,True,True,True,True edad0b9d-bd81-42af-a4ed-f3210bcf5e0d,korbinian.ko@gmail.com,Korbinian,Koch,https://talenthub.vectorinstitute.ai/profiles/2652961/view_image/1598305137629.jpeg,Applied ML Intern @ Vector Institute,,,,https://epistoteles.github.io/,,https://www.linkedin.com/in/koch/,,False,False,,Toronto,Ontario,,Canada,linkedin,2022-01-17T21:23:10.055Z,2023-05-25T17:45:41.655Z,False,False,Connected to Vector Research,Yes,Other/Unsure,,Spring/Summer 2023 (April - July),Applied ML Intern,Mr.,https://www.linkedin.com/in/koch/,"AI safety, Fairness, Interpretability, Machine learning, Natural language processing, Privacy, anonymity, and/or security, Recommender systems, Representation learning",Graduate Degree (Masters),Entry Level (0-2 Years),MSc Intelligent Adaptive Systems,Type of Work is More Important to me than Sector,"Full Time, Internship, Capstone Project","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -cc0ee45e-72df-4477-b2bb-774406b44fc3,bhavya1600@gmail.com,Bhavya,Chhabra,https://talenthub.vectorinstitute.ai/profiles/2505361/view_image/1586803793536.jpeg,,,+15196972236,,,,https://www.linkedin.com/in/bhavya-chhabra-1600,,False,False,https://canadaai.jobboard.io/api/v1/profiles/cc0ee45e-72df-4477-b2bb-774406b44fc3/resume,London,Ontario,,Canada,linkedin,2021-09-11T15:27:57.524Z,2023-03-05T00:26:43.191Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/bhavya-chhabra-1600,"Computer vision, Deep learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Masters in Computer Science,"Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Western University,True,True,True,True -28b9c5ef-bc52-4a98-bf8a-8a0b4546557c,eshank.gupta@rotman.utoronto.ca,Eshank,Gupta,https://talenthub.vectorinstitute.ai/profiles/2960352/view_image/Eshank_Linkedin.png, Senior Business Intelligence Analyst,Business Intelligence Analyst possessing 4 years of experience designing feasible solutions for semiconductor manufacturing industry known for bridging the gap between core engineers and analytics professionals. Comfortable working with diverse stakeholders from front-line staff to executive leadership teams.,4372625287,,,,https://www.linkedin.com/in/gupta-eshank/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/28b9c5ef-bc52-4a98-bf8a-8a0b4546557c/resume,Toronto,Ontario,,Canada,,2022-08-18T20:11:43.813Z,2023-06-05T19:49:34.564Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/eshank-gupta-940774121/,Anomaly detection,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management Analytics,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Product/Project Manager",University of Toronto,True,True,True,True 6cfc98be-485b-4835-8a15-f3d246f02fc3,antonioszeto@gmail.com,Ho Yin,Sze-To,https://talenthub.vectorinstitute.ai/profiles/1550607/view_image/0.jpeg,PhD | Machine Learning Engineer II at Amazon | AWS Certified Machine Learning Specialist | AWS Certified Solutions Architect | Canadian Permanent Resident,"- 2+ years of industry experience as Machine Learning Engineer in Amazon to train/deploy/maintain Machine Learning models using AWS cloud infrastructures - Rated as Top Tier performer in 2021 in Amazon - AWS Certified Machine Learning Specialist and AWS Certified Solutions Architect - Associate @@ -3514,20 +3571,25 @@ Antonio obtained his Ph.D. in Systems Design Engineering specialized in Intellig ",2269783956,,https://antoniosehk.github.io/,,https://www.linkedin.com/in/antonioszeto/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/6cfc98be-485b-4835-8a15-f3d246f02fc3/resume,Toronto,Ontario,,Canada,linkedin,2019-12-03T15:47:23.420Z,2023-03-31T02:29:01.902Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Hamid Tizhoosh,Already Graduated,,Mr.,https://www.linkedin.com/in/antonio-ho-yin-sze-to-60895b37/,"Data science, Deep learning, Time-series forecasting and modelling",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Systems Design Engineering,Type of Work is More Important to me than Sector,"Full Time, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Waterloo,True,True,True,True 5e40ef1e-3f60-43a5-a6b3-b1b4892e82b4,jacopo.panerati@utoronto.ca,Jacopo,Panerati,https://talenthub.vectorinstitute.ai/profiles/3013104/view_image/photo-2016.jpeg,Machine Learning for Robot Control,,,,https://jacopopanerati.github.io,,https://www.linkedin.com/in/jacopo-panerati/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5e40ef1e-3f60-43a5-a6b3-b1b4892e82b4/resume,,,,,,2022-09-21T20:23:23.783Z,2023-05-26T11:08:14.755Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Angela P. Schoellig,Fall 2022 (August - November),,Dr.,https://www.linkedin.com/in/jacopo-panerati/,"Reinforcement learning, Representation learning, Robotics",Postgraduate Degree (PhD),Senior Level (5+ Years),Robotics,"Financial Services, Professional Services (e.g Consulting), Software, Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,False,True,True b970a7c9-7e91-4114-80c9-9982dc17a9f7,mshirazb@buffalo.edu,Mohammad Mahdi,"Shiraz Bhurwani, PhD",https://talenthub.vectorinstitute.ai/profiles/3518209/view_image/1671142426940.jpeg,,,,,,,https://www.linkedin.com/in/mohammadmahdishirazbhurwani/,,True,False,,,,,,linkedin,2023-06-12T15:04:35.478Z,2023-06-12T15:04:35.867Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/mohammadmahdishirazbhurwani/,,,,,,,,,True,False,True,True -f648aeb6-07a8-460e-a7e7-0c9802509749,jrjaspernewprabhu@uwaterloo.ca,Joel,Raymann,https://talenthub.vectorinstitute.ai/profiles/2117637/view_image/Profile2.jpg,Professional AI Developer,"A highly self-motivated, self-driven AI developer. Love to code, train AI models and develop AI powered end-to-end solutions. ",+1-226-789-9802,,,,https://www.linkedin.com/in/joel-raymann/,JoelRaymann,False,False,https://canadaai.jobboard.io/api/v1/profiles/f648aeb6-07a8-460e-a7e7-0c9802509749/resume,Waterloo,Ontario,,Canada,,2020-10-30T15:30:43.397Z,2023-06-08T02:06:22.286Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/joel-raymann/,"Computer vision, Data science, Deep learning, Few-shot learning, Machine learning, Meta-learning, Natural language processing, Quantum computing, Reinforcement learning, Self-supervised learning, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Data Science and Artificial Intelligence,"Health, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Waterloo,True,True,True,True -442e7ee9-96d7-457a-89cc-9387218bf116,hamedwaezi01@gmail.com,Hamed,Waezi,https://talenthub.vectorinstitute.ai/profiles/3259795/view_image/1617443674094.jpeg,"Software Engineer, AI Specialist","I am currently a MSc in AI student at University of Windsor, Ontario, Canada. I started my work prior to finishing my undergrad program in computer engineering. My first official, non freelance, out of university job was as a Python developer in a fin-tech company that developed tools for Forex market. I was there for a few months until March 2022, when I got a position as software engineer in Cafe Bazaar, one of top tech companies in Iran. The next few months I started growing the potentials I had, and learned and experienced many many things including technical matters, task management, working as a team, and managing a project. -",+1 226 961 7096,,,,https://www.linkedin.com/in/hamed-waezi/,,False,False,,Windsor,Ontario,,Canada,linkedin,2023-02-06T03:19:33.184Z,2023-04-03T18:31:26.224Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Fall 2024 (August - November),,Mr.,https://www.linkedin.com/in/hamed-waezi/,"Machine learning, Natural language processing, Transfer learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science - AI stream,"Construction or Infrastructure, Education, Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Internship, Co-op","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Windsor,True,True,True,True -ac95e01c-3b59-41f2-88eb-eb3b1b8b053b,massecarb@gmail.com,Brody,Massecar,https://talenthub.vectorinstitute.ai/profiles/3274048/view_image/1582741777517.jpeg,,,2263784870,,,,https://www.linkedin.com/in/brodymassecar/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/ac95e01c-3b59-41f2-88eb-eb3b1b8b053b/resume,,,,,linkedin,2023-02-13T20:50:27.175Z,2023-06-20T17:55:48.057Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/brodymassecar/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Software Engineering,Software,Full Time,"Data Engineer, Machine Learning Engineer, Software Engineer",Western University,True,True,True,True -1ee3c2b4-61bb-4d1b-adc1-b82644084e96,alexis.corrieras@gmail.com,Alexis,Corrieras,https://talenthub.vectorinstitute.ai/profiles/3543333/view_image/1681350052506.jpeg,,,6478693894,,,,https://www.linkedin.com/in/alexiscorrieras/,,True,False,,Toronto,Ontario,,Canada,linkedin,2023-06-22T02:30:16.079Z,2023-06-22T02:30:16.636Z,True,False,Not Affiliated with Vector,No,Unsure,,Fall 2024 (August - November),,Mr.,https://www.linkedin.com/in/alexiscorrieras/,"Computer vision, Machine learning, Robotics",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science,,Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",Other,True,True,True,True +6bc3875a-6aca-4b29-af0e-43c59c10ab5c,omar.abdulaziz.oa@gmail.com,Omar,Abdulaziz,https://talenthub.vectorinstitute.ai/profiles/3552732/view_image/1680463053423.jpeg,,,,,,,https://www.linkedin.com/in/omar-aziz/,,False,False,,,,,,linkedin,2023-06-26T00:23:32.314Z,2023-06-26T00:23:32.752Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/omar-aziz/,,,,,,,,,True,False,True,True ba007a81-b35d-4ff6-8f5d-19b340b09228,aditya98singhal@gmail.com,Aditya,Singhal,https://talenthub.vectorinstitute.ai/profiles/2529432/view_image/AdityaSinghal1-min.jpg,Grad student in Computer Sc. | Seeking Full-time roles starting Sep 2023,"I'm a Master's student in Computer Science at Lakehead University, Ontario, Canada and Vector Scholarship in AI recipient. I'm a Teaching and Research Assistant at DaTALab, and currently contributing to Google Summer of Code (GSoC'22), in addition to my role as an MLH Fellow on Meta's open source project. I completed my Bachelor's from Delhi Technological University in India and undertook a research internship at the University of Padova in Venice, Italy. I have previously worked as a Sr. Software Engineer at Capgemini, and I'm adept in Data Structures & Algo, Web Development, and Data Science & ML. I'm actively seeking full-time roles as SDE/ML engineer/Data Scientist starting September 2023.",8077099571,,https://aditya-ml.github.io/,,https://www.linkedin.com/in/asinghal-a1/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/ba007a81-b35d-4ff6-8f5d-19b340b09228/resume,,Ontario,,Canada,,2021-09-30T08:15:03.549Z,2023-06-21T13:37:37.975Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/asinghal-a1/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Science in Computer Science,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Lakehead University,True,True,True,True af308071-6d8b-4c2e-ab60-79dd19767ab6,qiwei.shao@foxmail.com,Qiwei,Shao,https://talenthub.vectorinstitute.ai/profiles/1571840/view_image/0.jpeg,,,,,,,,,True,False,,,,,,linkedin,2019-12-21T19:44:07.064Z,2020-01-03T15:29:46.409Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/qiwei-shao-8a65b2149/,,,,,,,,,True,True,True,True a2947d29-2bcc-401b-877f-300a92f63f21,14mm181@queensu.ca,Melani,Maheswaran,https://talenthub.vectorinstitute.ai/profiles/3548889/view_image/1676214408951.jpeg,,,,,,,https://www.linkedin.com/in/melani-maheswaran/,,False,False,,,,,,linkedin,2023-06-24T01:32:44.839Z,2023-06-24T01:32:45.185Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/melani-maheswaran/,,,,,,,,,True,True,True,True -6bc3875a-6aca-4b29-af0e-43c59c10ab5c,omar.abdulaziz.oa@gmail.com,Omar,Abdulaziz,https://talenthub.vectorinstitute.ai/profiles/3552732/view_image/1680463053423.jpeg,,,,,,,https://www.linkedin.com/in/omar-aziz/,,False,False,,,,,,linkedin,2023-06-26T00:23:32.314Z,2023-06-26T00:23:32.752Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/omar-aziz/,,,,,,,,,True,False,True,True -88bb6476-0fa8-46d9-b72a-fcd6f0c2fedd,ahmedshahrukhali@gmail.com,Ahmed Shahrukh,Ali,https://talenthub.vectorinstitute.ai/profiles/3555550/view_image/1580489698514.jpeg,,,,,,,https://www.linkedin.com/in/ahmedshahrukhali/,,True,False,,,,,,linkedin,2023-06-26T22:53:13.659Z,2023-06-26T22:53:14.126Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/ahmedshahrukhali/,,,,,,,,,True,False,True,True -9b8d478d-5857-4ccf-a9a3-fdec4c42c147,b.gyankarki@gmail.com,Bigyan,Karki,https://talenthub.vectorinstitute.ai/profiles/3363839/view_image/1583540677132.jpeg,,,,,,,https://www.linkedin.com/in/bigyankarki/,,True,False,,,,,,linkedin,2023-03-30T21:48:40.824Z,2023-06-25T22:33:36.469Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/bigyankarki/,,,,,,,,,True,True,True,True -af50cc58-f9dd-40f7-bc6b-bdc405c12e50,zhao52900@gmail.com,Siyuan,Zhao,https://talenthub.vectorinstitute.ai/profiles/3413393/view_image/1678587960702.jpeg,,,,,,,https://www.linkedin.com/in/siyuan-zhao-288b1221a/,,True,False,,,,,,linkedin,2023-04-23T19:15:32.743Z,2023-04-29T02:38:39.581Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/siyuan-zhao-288b1221a/,,,,,,,,,True,True,True,True +1ee3c2b4-61bb-4d1b-adc1-b82644084e96,alexis.corrieras@gmail.com,Alexis,Corrieras,https://talenthub.vectorinstitute.ai/profiles/3543333/view_image/1681350052506.jpeg,,,6478693894,,,,https://www.linkedin.com/in/alexiscorrieras/,,True,False,,Toronto,Ontario,,Canada,linkedin,2023-06-22T02:30:16.079Z,2023-06-22T02:30:16.636Z,True,False,Not Affiliated with Vector,No,Unsure,,Fall 2024 (August - November),,Mr.,https://www.linkedin.com/in/alexiscorrieras/,"Computer vision, Machine learning, Robotics",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science,,Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",Other,True,True,True,True 69accae0-88c0-40bc-8e44-4b49c8656c75,elena.huesgen@rwth-aachen.de,Elena,Hüsgen,https://talenthub.vectorinstitute.ai/profiles/3567296/view_image/1682612615749.jpeg,,,,,,,https://www.linkedin.com/in/elenahuesgen/,,True,False,,,,,,linkedin,2023-06-30T22:22:26.198Z,2023-06-30T22:22:26.566Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/elenahuesgen/,,,,,,,,,True,True,True,True 596a091c-4aef-4583-b880-e36e2c41e854,kutlukanwar@gmail.com,Kutluk,Anwar,https://talenthub.vectorinstitute.ai/profiles/3567300/view_image/1610661400870.jpeg,,,,,,,https://www.linkedin.com/in/kutluk-ken-anwar/,,True,False,,,,,,linkedin,2023-06-30T22:25:46.222Z,2023-06-30T22:25:46.759Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/kutluk-ken-anwar/,,,,,,,,,True,False,True,True +88bb6476-0fa8-46d9-b72a-fcd6f0c2fedd,ahmedshahrukhali@gmail.com,Ahmed Shahrukh,Ali,https://talenthub.vectorinstitute.ai/profiles/3555550/view_image/1580489698514.jpeg,,,,,,,https://www.linkedin.com/in/ahmedshahrukhali/,,False,False,,,,,,linkedin,2023-06-26T22:53:13.659Z,2023-06-26T23:05:57.636Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/ahmedshahrukhali/,,,,,,,,,True,False,True,True +307c91a5-ac13-4dc6-ba2d-eddbdc13d6c6,hshah224@uwo.ca,Hitanshu,Shah,https://talenthub.vectorinstitute.ai/profiles/3053747/view_image/WhatsApp_Image_2022-10-19_at_20.33.01.jpeg,Graduate Student at Western University (M.Sc. in Computer Science with Vector Institute Collaborative Specialization in AI),Seeking to become an AI/ML developer and improve my skills in order to enhance my knowledge of this domain and gain industry exposure which will set me apart from other applicants by allowing me to acquire in-depth knowledge of the field and a better understanding of its application.,+1 9057820364,,,,https://www.linkedin.com/in/hitanshu-shah/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/307c91a5-ac13-4dc6-ba2d-eddbdc13d6c6/resume,London,Ontario,,Canada,,2022-10-20T00:07:28.350Z,2023-05-30T06:21:17.818Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/hitanshu-shah/,"Deep learning, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),MSc in Computer Science with Vector Institute Collaborative Specialization in AI,"Construction or Infrastructure, Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Western University,True,False,True,True +7958575e-df76-4f0d-b855-093383a4a3f3,dipul.patel.03@gmail.com,Dipul,Patel,https://talenthub.vectorinstitute.ai/profiles/3582154/view_image/1516683765941.jpeg,,,,,,,https://www.linkedin.com/in/dipul-patel-52966479/,,True,False,,,,,,linkedin,2023-07-06T18:26:55.014Z,2023-07-06T18:26:55.513Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/dipul-patel-52966479/,,,,,,,,,True,True,True,True +c0bda383-cd42-4787-9b92-b05ff58509b4,samuel.bakiika.musoke@gmail.com,Samuel,Musoke Bakiika,https://talenthub.vectorinstitute.ai/profiles/3600783/view_image/1663737932068.jpeg,"MMA 2024S Candidate, Smith School of Business | Data Analytics","Data Analyst with experience in data analysis and visualization using Python, R, Relational and NoSQL databases as well as problem-solving techniques with data models to collect, clean, process, analyze, visualize, and share actionable business insights.",4168395323,,https://github.com/Kiikas,,https://www.linkedin.com/in/samuel-musoke-bakiika/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/c0bda383-cd42-4787-9b92-b05ff58509b4/resume,,Ontario,,Canada,linkedin,2023-07-13T15:39:07.021Z,2023-07-13T15:39:07.426Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2024 (April - July),,Mr.,https://www.linkedin.com/in/samuel-musoke-bakiika/,"Anomaly detection, Data science, Deep learning, Generative modeling, Machine learning, Natural language processing, Optimization, Physics, Robotics, Time-series forecasting and modelling",Graduate Degree (Masters),Senior Level (5+ Years),Master of Management Analytics,"Construction or Infrastructure, Financial Services, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer",Queen's University,True,True,True,True +8e67c976-6e17-4152-a4b8-ef9c63cab682,arastehfar.san@queensu.ca,Sana,Arastehfar,https://talenthub.vectorinstitute.ai/profiles/3581725/view_image/photo_2023-04-19_08-01-45.jpg,Master of Computer Science | Vector Scholar in AI | SGI MIT 2023 Fellow,,+16473029193,,https://arastehfarsana.wixsite.com/sanaarastehfar,,https://www.linkedin.com/in/sana-arastehfar-b47996100,,False,False,https://canadaai.jobboard.io/api/v1/profiles/8e67c976-6e17-4152-a4b8-ef9c63cab682/resume,,,,Canada,,2023-07-06T14:54:26.951Z,2023-07-06T14:54:26.986Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Spring/Summer 2023 (April - July),,Mrs.,https://www.linkedin.com/in/sana-arastehfar-b47996100/,"Deep learning, Reinforcement learning, Time-series forecasting and modelling",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,"Education, Financial Services, Manufacturing , Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship","Business Analyst/Business Intelligence Analyst , Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",Queen's University,True,True,True,True +f67ca115-2f7e-460c-a62a-2dec9fd77ca1,tsivakar@uwaterloo.ca,Thanushon,Sivakaran,https://talenthub.vectorinstitute.ai/profiles/3411332/view_image/1569639665851.jpeg,Mechatronics Engineering @ University of Waterloo | Ex Software Engineering Intern @ Apple,"Mechanical, electrical, system design and software. All these engineering disciplines make up what I love about Mechatronics Engineering - I enjoy trying new things outside my comfort zone and I am completely devoted to expanding my knowledge in all areas. + +Whether it is teaching myself to develop Android apps, collaborating with others to create a 120 lb robot or training others in the sport of tennis, you can count on me to get the job done. + +Feel free to send me a message and let's talk! +",,,https://github.com/thanusiv,,https://www.linkedin.com/in/thanushonsiva/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/f67ca115-2f7e-460c-a62a-2dec9fd77ca1/resume,,,,,,2023-04-22T04:58:17.053Z,2023-07-15T23:06:59.095Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/thanushonsiva/,"Adversarial learning, Generative modeling, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),"Electrical and Computer Engineering, MASc",Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Waterloo,True,True,True,True +afdcc41e-4286-4bed-a23e-cb7fb82573a6,adamsorrenti8@gmail.com,Adam,Sorrenti,https://talenthub.vectorinstitute.ai/profiles/3611115/view_image/Untitled-1.png,,,,,https://sorrenti.dev/,,,,True,False,,,,,,,2023-07-17T20:27:17.802Z,2023-07-17T20:27:17.844Z,False,False,,,Vector Scholarship Recipient,,Winter 2025 (December 2024 - March 2025),,Mr.,,"Interpretability, Reinforcement learning, Self-supervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,Type of Work is More Important to me than Sector,"Full Time, Internship",Machine Learning Researcher/Scientist ,Ryerson University,True,True,True,True 8d578ef4-417e-4f44-b67d-a852e4ea0347,shems.saleh@vectorinstitute.ai,Shems,Saleh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-11-15T00:15:51.883Z,,False,False,Internal Staff,Yes,,,,,,https://www.linkedin.com/in/shems-s-0b96b9b2/,,,,,,,,,,,, b07c84f5-86d2-405f-b218-02fb1c02e87c,lucas.parnanzone@vectorinstitute.ai,Lucas,Parnanzone,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-11-18T22:05:30.450Z,,False,False,Internal Staff,Yes,,,,,,Not Found,,,,,,,,,,,, c2d0eca5-fbe3-4bff-9086-c34297d45e7d,mahdieh.allameh@ontariotechu.ca,Mahdieh,Allameh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-12-22T19:56:27.935Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/mahdieh-allameh/,,,,,,,,,,,, @@ -3704,7 +3766,6 @@ b0ee1240-bb66-4766-8618-9fe0ab0da37b,arbasj@mcmaster.ca,Jamil,Arbas,https://tale da53cfbe-963a-4401-81c2-23112d60c73c,21eg48@queensu.ca,Elizabeth,George,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,A graduate student doing a program in Master's of Biomedical Informatics seeking entry-level biomedical informatician position,"A passionate researcher, currently doing a project on DESI-Mass Spectrometry. I have experience using quantitative data and have applied statistical methods to large data sets. I am knowledgeable in using the Bioconductor package in R for the analysis of genomic datasets and the SimpleITK package for image processing using python. I am highly motivated and take pride in my work, and enjoy the challenge of uncovering insights from data",+1 613 217 5278,,,,https://www.linkedin.com/in/elizabeth-george-31b85a193/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/da53cfbe-963a-4401-81c2-23112d60c73c/resume,Kingston,Ontario,,Canada,,2023-01-27T19:34:04.431Z,2023-01-27T20:44:02.163Z,True,True,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Dr. Parvin Mousavi,Winter 2023 (December 2022 - March 2023),,Mrs.,https://www.linkedin.com/in/elizabeth-george-31b85a193/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master's in Biomedical Informatics,,"Full Time, Internship, Co-op, Contract","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Queen's University,True,True,True,True f6e6d534-8da8-4c67-ba9a-71d4c45530c5,justin.dumouchelle@mail.utoronto.ca,Justin,Dumouchelle,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,PhD Candidate in machine learning and operations research,"I am a second-year Ph.D. candidate in the Mechanical and Industrial Engineering Department at the University of Toronto. My research interests are at the intersection of machine learning and operations research. I am currently focusing on developing data-driven algorithms for discrete optimization, stochastic programming, and robust optimization.",5194969888,,,,,,False,False,https://canadaai.jobboard.io/api/v1/profiles/f6e6d534-8da8-4c67-ba9a-71d4c45530c5/resume,Toronto,Ontario,,Canada,,2023-02-15T19:10:10.890Z,2023-02-15T19:10:10.931Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Elias Khalil,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/justin-dumouchelle-676bbb84/?originalSubdomain=ca,"Game theory, Machine learning, Optimization",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Industrial Engineering,"Financial Services, Health, Public Administration (i.e Gov't), Transportation",Internship,"Data Scientist, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True d86929da-cf3e-4cac-80c4-365bfa95ecca,meharb23@cs.ubc.ca,Mehar,Bhatia,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Graduate CS Student at UBC Vancouver,,2365588803,,https://meharbhatia.github.io/,,https://www.linkedin.com/in/meharbhatia23/,bhatia_mehar,False,False,https://canadaai.jobboard.io/api/v1/profiles/d86929da-cf3e-4cac-80c4-365bfa95ecca/resume,Vancouver,British Columbia,,Canada,,2023-02-15T21:04:05.261Z,2023-02-15T21:04:05.297Z,True,True,Recognized Masters Program,Yes,Student or Postdoc of a Vector Faculty Member,Vered Shwartz,Spring/Summer 2024 (April - July),,Ms.,https://www.linkedin.com/in/meharbhatia23/,"Deep learning, Machine learning, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),MSc Thesis in Computer Science,"Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Internship,Machine Learning Researcher/Scientist ,Other,True,False,True,True -3d527621-a888-4c9b-8d3d-31f57039f2c8,pmodi8@uwo.ca,Preet,Modi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/preet-modi/,,False,False,,,,,,,2022-09-21T20:23:22.855Z,2022-12-22T19:04:25.691Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/preet-modi/,"Computer vision, Data science, Deep learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Analytics (MDA) Specialization in Artificial Intelligence,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Western University,True,True,True,True 60b7481c-5083-4bb3-ac94-f28df738a1ce,kafai.leung@ontariotechu.net,Gary,Leung,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Experienced Manager,"Experienced in business intelligence and data analytic in banking and finance, digital engagement and customer relationship management. Proficiency in analytic tools such SAS, Python (Pandas, Numpy), Tableau, Excel and SQL. Open for any opportunities related to excel my analytical and management skill.",6472391880,,,,,,False,False,https://canadaai.jobboard.io/api/v1/profiles/60b7481c-5083-4bb3-ac94-f28df738a1ce/resume,Richmond Hill,Ontario,,Canada,,2022-09-20T15:14:22.448Z,2023-01-27T04:54:53.311Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mr.,N/A,"Data science, Statistical learning theory",Graduate Degree (Masters),Senior Level (5+ Years),Master of Business Analytics and AI,"Financial Services, Retail","Full Time, Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",OntarioTech University,True,True,True,True 5fc07478-661c-4328-8ee8-3df09d287cc1,sabika30@outlook.com,Sabika,Akhtar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-01-13T20:27:32.933Z,,False,False,Vector Scholarship Recipient,Yes,,,,,,https://www.linkedin.com/in/sabikaakhtar/,,,,,,,,,,,, 32c77920-d57a-418c-b44a-8f4085297b4f,tkssali@gmail.com,Tracy,S,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-01-13T20:27:33.633Z,,False,False,Connected to Vector Research,Yes,,,,,,N/A,,,,,,,,,,,, @@ -3717,7 +3778,6 @@ Currently pursuing a Master of Data Analytics, Artificial Intelligence at Wester 09a260e7-80bf-4024-9dd3-cb8f9b8e19dd,kalamand@uwo.ca,Kevin,Alamanda,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-20T15:14:55.187Z,2023-01-24T23:37:08.975Z,False,False,Recognized Masters Program,Yes,,,,,,N/A,,,,,,,,,True,,True,True 76535d3b-6eef-432c-9880-df2977b75fcd,h.wu.yorku@gmail.com,Hongda,Wu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-12-22T19:56:12.528Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/hongda-wu-729a47197/,,,,,,,,,,,, 14ebe7db-5394-48ad-8ac6-a20a3297f762,ssalunke@uwo.ca,Sanket,Salunke,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-12-22T19:55:55.554Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/sanket-salunke-2712171a3/,,,,,,,,,,,, -e3d98c8f-eeaa-4f45-a920-ebbd623bd538,khoasimon99@gmail.com,Khoa ,Tran,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,http://github.com/tlminhkhoa,,https://linkedin.com/in/tlminhkhoa/,,False,False,,,,,,,2023-01-01T02:17:13.604Z,2023-01-07T00:05:15.309Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,YorkU Lassonde School of Engineering,Spring/Summer 2023 (April - July),,Mr.,https://linkedin.com/in/tlminhkhoa/,"Data science, Machine learning, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),computer science specialized in artificial intelligence,"Financial Services, Technology (Information and Media), Technology (Product Development)",Internship,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",York University,True,True,True,True ae2a8d5c-5b1b-4a89-be88-12a6c03d0c67,samarendra109@gmail.com,Samarendra Chandan Bindu,Dash,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ae2a8d5c-5b1b-4a89-be88-12a6c03d0c67/resume,,,,,,2022-05-11T16:50:19.743Z,2023-02-01T13:45:05.535Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Spring/Summer 2024 (April - July),,Mr.,https://www.linkedin.com/in/samarendra-chandan-bindu-dash-5b7642159/,"Deep learning, Machine learning, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),Masters of Science in Applied Computing,"Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Capstone Project","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True e3ab1fa2-eb70-4489-ae50-42b7b719cf51,jing.zhang21@imperial.ac.uk,Jing,Zhang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e3ab1fa2-eb70-4489-ae50-42b7b719cf51/resume,,,,,,2022-08-08T21:14:38.516Z,2022-08-08T21:14:38.560Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Fall 2022 (August - November),No,Ms.,https://www.linkedin.com/in/jingzhang33/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Mathematics and Finance,"Financial Services, Health, Technology (Information and Media)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Other,True,False,True,True 89326e28-64cb-4bbe-9d7a-6c1fec5cb59a,andrew.rambidis@uwaterloo.ca,Andrew,Rambidis,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Graduate researcher,First year masters student under Prof. Vavasis at the University of Waterloo with a strong interest in R&D for data science and machine learning. My primary research focuses on mathematical optimization applied to machine learning. ,5149695546,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/89326e28-64cb-4bbe-9d7a-6c1fec5cb59a/resume,Waterloo,Ontario,,Canada,,2021-11-25T16:26:05.358Z,2022-08-29T17:09:15.835Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/andrew-rambidis/,"Machine learning, Optimization, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),"MMath, Data Science",Type of Work is More Important to me than Sector,Internship,"Data Scientist, Machine Learning Researcher/Scientist ",University of Waterloo,True,False,True,True @@ -3735,66 +3795,63 @@ b2288ff8-a7db-419c-82b7-4c12cde4aa80,dhrumel.shah@queensu.ca,dhrumel,shah,https: I've worked with Data Science teams at Deloitte-USI and DXC Technology, developing Machine Learning, Deep Learning and Forecasting solutions for clients in the US, Belgium and Brazil. I have experience across the CPG, Retail, Telecom, IT and Logistics industries. I enjoy managing projects and building client relationships. ",6478527079,,,,https://www.linkedin.com/in/dhrumelshah/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b2288ff8-a7db-419c-82b7-4c12cde4aa80/resume,Toronto,Ontario,,Canada,,2021-11-09T21:33:08.954Z,2022-06-28T04:50:10.078Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/dhrumelshah/,"Data science, Deep learning, Machine learning, Natural language processing, Time-series forecasting and modelling",Graduate Degree (Masters),Mid-Level (3-5 Years),Artificial Intelligence,"Financial Services, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Telecommunications, Type of Work is More Important to me than Sector",Full Time,Data Scientist,Queen's University,True,True,True,True 3431e5a0-3adc-4515-88d5-e0844d9efc80,visaam.khan@rotman.utoronto.ca,Visaam,Khan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/visaamfaisal,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3431e5a0-3adc-4515-88d5-e0844d9efc80/resume,Toronto,Ontario,,Canada,,2022-09-20T15:13:28.321Z,2022-09-22T01:46:36.596Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mr.,www.linkedin.com/in/visaamfaisal,"Game theory, Graphical models, Recommender systems",Graduate Degree (Masters),Entry Level (0-2 Years),Masters in Management Analytics,"Health, Professional Services (e.g Consulting), Retail, Technology (Product Development)","Full Time, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Product/Project Manager",University of Toronto,True,False,True,True f3fe3693-973a-420c-a66b-c98ca3a92066,fcombert@uoguelph.ca,Francis,Combert,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-21T20:23:22.162Z,2022-09-22T02:07:28.239Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/francis-kwaku-combert-47b277115/,,,,,,,,,True,True,True,True -d430966d-1ccb-46b9-95d6-101b57945807,mahmud.ferdous@torontomu.ca,Md,Mahmud Ferdous,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,http://linkedin.com/in/md-mahmud-ferdous,,True,False,,,,,,,2023-03-31T15:41:41.781Z,,False,False,,,,,,,,,,,,,,,,,,,, -ad12fe32-b7bf-4474-a7cb-01d723488b50,vini97bluestar@gmail.com,Vinitha,Raj Rajagopal Muthu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/vinitha-rajagopal-8b9b7620a/,,True,False,,,,,,,2023-03-31T15:41:43.237Z,,False,False,,,,,,,,,,,,,,,,,,,, -1fff6227-03b3-4285-ad0a-91d7dcd3ed8d,21zz91@queensu.ca,Zhaoqiu,Zhou,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/zhaoqiu-stone-zhou/,,True,False,,,,,,,2023-03-31T15:41:43.691Z,,False,False,,,,,,,,,,,,,,,,,,,, -11ad20cb-8009-45b0-8f87-63d8ce8c9d4f,nikhilsunil97@gmail.com,Nikhil,Sunil,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/nikhil-sunil/,,True,False,,,,,,,2023-03-31T15:41:42.396Z,,False,False,,,,,,,,,,,,,,,,,,,, -bb7925ba-36c8-4c30-89cf-179014652613,scharmim@uwo.ca,Saba,Charmi Motlagh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://ca.linkedin.com/in/sabacharmimotlagh,,True,False,,,,,,,2023-03-31T15:41:42.960Z,,False,False,,,,,,,,,,,,,,,,,,,, -d46bd09e-adfe-4910-b6fb-5f4827d79591,maggie.lawrence@mail.utoronto.ca,Maggie,Lawrence,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-04-17T13:56:46.608Z,2023-04-17T13:56:46.649Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,Juan Carasquilla,Fall 2023 (August - November),,Miss.,https://www.linkedin.com/in/maggie-lawrence-789535224/,"Machine learning, Optimization, Physics",Graduate Degree (Masters),Entry Level (0-2 Years),Physics,Type of Work is More Important to me than Sector,Full Time,"Data Analyst, Data Scientist, Other ",University of Toronto,True,False,True,True -e6543cbc-2019-48d3-8893-706c29d34587,julia_smith@sympatico.ca,Julia,Smith,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,905-718-2703,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e6543cbc-2019-48d3-8893-706c29d34587/resume,Whitby,Ontario,,Canada,,2023-05-03T16:14:05.621Z,2023-05-03T16:14:05.669Z,True,False,Vector Scholarship Nominee,Yes,Vector Scholarship Nominee,,Other/Undetermined,,Miss.,N/A,"Data science, Machine learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Information Technology Security,"Education, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Researcher/Scientist , Product/Project Manager",OntarioTech University,True,True,True,True -2fc2b692-4add-4304-8be7-eb893814b0c6,bhavik.naik@ontariotechu.net,Bhavik,Naik,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,iI.T Security Masters Student,,6478622809,,http://bhaviknaik.com,,https://www.linkedin.com/in/bhavik-naik/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2fc2b692-4add-4304-8be7-eb893814b0c6/resume,Mississauga,Ontario,,Canada,,2021-12-22T19:56:10.072Z,2023-05-04T00:11:29.790Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,LinkedIn.com/in/bhavik-naik,"Bioinformatics, Quantum computing, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Mid-Level (3-5 Years),I.T Security,"Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Analyst, Machine Learning Researcher/Scientist , Software Engineer, Other ",OntarioTech University,True,False,True,True -eba81f8f-913a-428d-a203-e70b279e65b5,sikaroudi@gmail.com,Milad,Sikaroudi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/msikaroudi/,,True,False,,,,,,,2023-05-11T16:34:15.507Z,2023-05-11T16:34:15.549Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Studying in/Graduated from a Recognized Master's Program,Hamid Reza Tizhoosh,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/msikaroudi/,,Postgraduate Degree (PhD),Senior Level (5+ Years),"Systems Design Engineerin, Machine Learning","Health, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Contract","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Waterloo,True,True,True,True -c25bee68-fca3-4898-b75b-89121656c84b,kyaw.jobs@gmail.com,Kyaw Kyaw,Oo,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-05-11T00:53:19.644Z,2023-05-11T00:53:19.678Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,N/A,,Graduate Degree (Masters),Senior Level (5+ Years),Signal Processing,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector",Full Time,"Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,False,True,True -b9249730-736d-408c-a14b-965e026aaecc,edwinonyia41@yahoo.com,Nonso,Onyia,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-05-12T14:22:36.427Z,,False,False,Recognized Masters Program,Yes,,,,,,http://www.linkedin.com/in/nonsoo,,,,,,,,,,,, -95ff6009-8c17-4cbc-b3b2-3a1e1bc7ca84,mistry53@uwindsor.ca,Parth,Mistry,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,MSc Computer Science Student at University of Windsor ,,2269759245,,,,https://www.linkedin.com/in/m-prth/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/95ff6009-8c17-4cbc-b3b2-3a1e1bc7ca84/resume,Windsor,Ontario,,Canada,,2023-05-17T23:23:03.879Z,2023-05-20T01:41:23.116Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/m-prth/,"Data science, Machine learning, Natural language processing, Recommender systems, Transfer learning",Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Science in Computer Science,"Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Windsor,True,True,True,True -dd5e6c90-0aa5-44d7-b1a7-f4094396e6db,issam@cs.toronto.edu,Issam,Arabi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,4168754150,,,,https://linkedin.com/in/issamarabi,,True,False,https://canadaai.jobboard.io/api/v1/profiles/dd5e6c90-0aa5-44d7-b1a7-f4094396e6db/resume,,,,,,2023-05-21T00:07:26.768Z,2023-05-21T00:07:26.808Z,True,True,Not Affiliated with Vector,No,Other Vector Programming,,Fall 2023 (August - November),,Mr.,https://linkedin.com/in/issamarabi,"Natural language processing, Reinforcement learning, Transfer learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science,,"Full Time, Internship, Co-op, Contract, Capstone Project","Data Engineer, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True -c2c35842-4e4b-4574-b4f5-84c3516e18bb,vchang24@uwo.ca,Vicky,Chang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,MSc Student,,4168986056,,,,,,False,False,,,,,,,2023-01-27T19:34:05.134Z,2023-02-13T15:45:20.150Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Dr. Mark Daley,Spring/Summer 2024 (April - July),,Ms.,N/A,"Bayesian methods, Computational biology, Neuroscience",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Interdisciplinary Medical Sciences,Health,Internship,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Western University,True,True,True,True -adc10fc4-6509-46fe-859a-e2c6af952c9f,cssadhana@gmail.com,Sadhana,Wadhwa,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,ITSM/ITOM Professional,"Thorough ITSM/ITOM professional, highly skilled in implementation and maintenance of ITSM and ITOM products. Successful collaboration record with business teams ensuring efficient configuration of the required systems. Demonstrates diligence in reporting issues identified and following them up until resolution. -Have been working as a Quality Assurance tester for Canadian media giant for the past three years, performing functional testing (manual and automation) using Agile methodologies. - -Currently looking to transition into the Datascience field.",6476674984,,,,https://www.linkedin.com/in/sadhanawadhwa/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/adc10fc4-6509-46fe-859a-e2c6af952c9f/resume,,,,,,2023-04-05T14:20:28.419Z,2023-04-25T15:08:41.426Z,True,False,Other Vector Programming,Yes,Other Vector Programming,,Already Graduated,Caregivers and Machine Learning,Mrs.,https://www.linkedin.com/in/sadhanawadhwa/,"AI safety, Data science, Fairness, Game theory, Generative modeling, Graphical models, Law, ethics and policy, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Senior Level (5+ Years),Systems Engineering,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",Other,True,True,True,True -c9fe6f77-a30f-4bd9-85c9-f146fd16ad6d,dhaneshr@gmail.com,Dhanesh,Ramachandram,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/dhaneshr/,,True,False,,,,,,,2023-05-16T13:37:06.845Z,2023-05-16T13:37:06.875Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Prof. Graham Taylor,Already Graduated,,Dr.,https://www.linkedin.com/in/dhaneshr/,"Computer vision, Deep learning, Self-supervised learning",Postgraduate Degree (PhD),Senior Level (5+ Years),IIndustrial Technology (Computer Vision and AI stream),,"Full Time, Contract","Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",Other,True,True,True,True -13228514-9df0-4677-b841-19bc449e02ca,narges.delpisheh@gmail.com,Narjes,Delpisheh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,ML Engineer,,5878212507,,,,,,False,False,https://canadaai.jobboard.io/api/v1/profiles/13228514-9df0-4677-b841-19bc449e02ca/resume,Toronto,Ontario,,Canada,,2023-05-18T06:33:13.278Z,2023-05-18T06:33:13.319Z,True,True,Not Affiliated with Vector,No,Other Vector Programming,,Already Graduated,,Ms.,N/A,"Data science, Deep learning, Machine learning, Natural language processing, Reinforcement learning, Unsupervised learning",Graduate Degree (Masters),Senior Level (5+ Years),Computer Science in University of Lethbridge,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,True,True,True -8c8e9474-b0bb-4e61-a1fd-58027d85d643,thaott88@yorku.ca,Trong Thao,Tran,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Master in Computer Science at York University,"My Master study focuses on using geometrical cues and constraints in -2D image to infer 3D structure. While I am applying the direction to -traffic analytics, 3D reconstruction can be useful to other industries -such as manufacturing and retails.",6473267699,,,,https://www.linkedin.com/in/thaotrongtran/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/8c8e9474-b0bb-4e61-a1fd-58027d85d643/resume,Toronto,Ontario,,Canada,,2021-08-24T21:14:45.333Z,2023-05-20T17:58:51.555Z,True,True,Recognized Masters Program,Yes,Student or Postdoc of a Vector Faculty Member,Dr. James Elder,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/thaotrongtran/,"Computer vision, Machine learning, Robotics",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Construction or Infrastructure, Retail, Software, Technology (Information and Media), Technology (Product Development), Transportation, Type of Work is More Important to me than Sector","Full Time, Internship","Machine Learning Engineer, Machine Learning Researcher/Scientist ",York University,True,True,True,True -c514ef95-9cb6-42d6-b3f9-032d2ef4630a,yuchongz.zhang@mail.utoronto.ca,Yuchong,Zhang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/yuchong-zhang-6aaba9207/,,False,False,,,,,,,2022-09-14T01:00:03.231Z,2023-02-05T06:10:38.174Z,True,True,Connected to Vector Research,Yes,Other Vector Programming,Vardan Papyan,Spring/Summer 2023 (April - July),I'm a student of a Vector Faculty Affiliate,Mr.,https://www.linkedin.com/in/yuchong-zhang-6aaba9207/,"Deep learning, Machine learning, Transfer learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science Specialist and Mathematics Major,"Software, Technology (Product Development)","Full Time, Internship, Co-op, Capstone Project","Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -01409276-8e50-4af3-a6fd-c0a4b8bf6695,vkupp063@uottawa.ca,Vigneshwaran,Kuppan Rajendran,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,3435586455,,,,,,False,False,https://canadaai.jobboard.io/api/v1/profiles/01409276-8e50-4af3-a6fd-c0a4b8bf6695/resume,,,,,,2023-01-17T03:03:03.555Z,2023-01-17T03:03:03.594Z,True,True,Recognized Masters Program,Yes,Vector Scholarship Recipient,,Spring/Summer 2024 (April - July),,Mr.,N/A,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Electrical and Computer Engineering with concentration in Applied Artificial Intelligence,"Education, Financial Services, Health, Public Administration (i.e Gov't), Retail, Software, Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Ottawa,True,False,True,True -6b47c4f2-e653-485b-96b5-1dcdaa6a6ddb,leoxu@yorku.ca,Leo,Xu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/leo-xiaolu-xu-frm-mfin-02b4b259/,,True,False,,,,,,,2023-05-24T17:06:28.907Z,2023-05-25T17:10:16.231Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/leo-xiaolu-xu-frm-mfin-02b4b259/,,,,,,,,,True,True,True,True -30e42fc0-7dde-4a7c-9af4-f73863321dab,oliver@oea.digital,Oliver,Aygun,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/oaygun/,,True,False,,,,,,,2023-05-24T17:06:28.325Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/oaygun/,,,,,,,,,,,, -109e9623-447d-4258-b11a-244270bc642f,yshah025@uottawa.ca,Yasaman,Shahrasbi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,3435580458,,,,https://www.linkedin.com/in/yaciish/,,False,False,,Ottawa,Ontario,,Canada,,2021-08-24T21:14:46.319Z,2023-05-28T05:10:13.886Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Fall 2022 (August - November),,Miss.,https://www.linkedin.com/in/yaciish/,"AI safety, Anomaly detection, Data science, Deep learning, Fairness, Healthcare and/or medical imaging, Interpretability, Law, ethics and policy, Machine learning, Natural language processing, Online learning, Privacy, anonymity, and/or security, Self-supervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science with Concentration in Applied Artificial Intelligence,"Financial Services, Health, Retail, Type of Work is More Important to me than Sector","Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Ottawa,True,True,True,True -8e73ac0e-fbea-443f-89f0-f96f3ac1c335,sudhandar@gmail.com,Sudhandar,Balakrishnan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Actively looking for full time opportunities in the field of data science,"Passionate data science professional with 2+ years of professional experience in using natural language processing, machine learning and data visualization to solve challenging business problems in an agile environment and 1 year of experience in solving research-based problems in an academic setting. A highly motivated individual who thrives in a fast-paced, collaborative environment.",3439894743,,https://github.com/Sudhandar,,https://www.linkedin.com/in/sudhandar/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8e73ac0e-fbea-443f-89f0-f96f3ac1c335/resume,Toronto,Ontario,,Canada,,2021-12-22T19:56:09.008Z,2022-10-22T21:51:23.268Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Dr. Xiaodan Zhu,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/sudhandar,"Deep learning, Natural language processing, Transfer learning",Graduate Degree (Masters),Entry Level (0-2 Years),Masters in Electrical and Computer Engineering,"Construction or Infrastructure, Financial Services, Software, Technology (Information and Media), Technology (Product Development), Transportation",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Software Engineer",Queen's University,True,True,True,True -5c2417d5-4c8a-4e22-a8bd-3e8b621ce52a,shansong.huang@ryerson.ca,Sam,Huang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6478391188,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5c2417d5-4c8a-4e22-a8bd-3e8b621ce52a/resume,Markham,Ontario,,Canada,,2022-11-09T22:13:23.505Z,2022-11-15T20:41:22.167Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/shansong-huang/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Data Science,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Full Time, Internship, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Ryerson University,True,True,True,True -6c8b77b0-df53-4439-811d-7af790db9327,a.menchetti8@gmail.com,Alessandro,Menchetti,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Smith Masters in Financial Innovation and Technology Candidate | BA.Sc (Computer Engineering Major) Queen's University Graduate,,6479834567,,,,https://www.linkedin.com/in/alessandro-menchetti/,,True,False,,Toronto,Ontario,,Canada,,2022-07-07T20:55:51.700Z,2022-11-22T17:10:18.453Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/alessandro-menchetti/,"Computer vision, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Financial Innovation and Technology,"Financial Services, Software, Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Data Engineer, Data Scientist, Machine Learning Engineer, Software Engineer",Queen's University,True,True,True,True -076d8e3d-f54b-4f8a-bce2-e630af408524,ida.liu@mail.utoronto.ca,Yushan,Liu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-02T19:00:34.742Z,2021-05-11T02:40:58.109Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Michael Hoffman,,,Miss.,https://www.linkedin.com/in/yushan-liu-b63736194/,,,,Mathematics and Statistics,,"Internship, Co-op, Contract, Capstone Project",,University of Toronto,True,True,True,True -8468928f-815f-4238-8267-3d5420fd3280,ishg11@schulich.yorku.ca,Ishaan,Goel,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Scientist|Consultant|Analytics Consultant,"4+ years of professional experience working within various analytical roles such as consulting, telecommunications and healthcare -Strong working knowledge of various Data Science/ML tools and techniques (predictive modelling, regression etc) as well as using various analytical tools (Python, SQL, Tableau, Power BI) -Avid learner with a strong passion to apply Data Science skills within a healthcare setting. Sports enthusiast",,,,,https://www.linkedin.com/in/ishaangoel/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8468928f-815f-4238-8267-3d5420fd3280/resume,Toronto,Ontario,,Canada,,2019-12-02T20:47:09.418Z,2021-09-17T19:05:27.574Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/ishaangoel/,"Data science, Healthcare and/or medical imaging, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master's of Business Analytics,"Health, Professional Services (e.g Consulting), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Scientist, Machine Learning Engineer",York University,True,True,True,True -02723491-74b4-4c4c-b714-ef34b37c965f,jahnvigorasiya2509@gmail.com,Jahnvi Dhirajlal,Gorasiya,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-30T01:15:46.242Z,2022-09-30T01:15:46.287Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Miss.,https://www.linkedin.com/in/jahnvigorasiya/,"AI safety, Data science, Privacy, anonymity, and/or security",Graduate Degree (Masters),Entry Level (0-2 Years),Maters in Information Technology Security,Type of Work is More Important to me than Sector,"Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Researcher/Scientist , Product/Project Manager",OntarioTech University,True,True,True,True -9a916530-4ed7-4016-a8d7-bae046a16a5d,sattarzadehsam@gmail.com,Sam,Sattarzadeh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9a916530-4ed7-4016-a8d7-bae046a16a5d/resume,,,,,,2021-05-28T02:27:37.367Z,2022-10-12T16:13:10.219Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/sam-sattarzadeh-43518a198/,"Computer vision, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Electrical and Computer Engineering,Type of Work is More Important to me than Sector,"Internship, Co-op","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -cba28aae-5e3c-4c9b-8291-7da3d80be354,mozhan.saeidi@gmail.com,Mozhgan,Saeidi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,"Mozhgan is a PhD Candidate in Computer Science, and a Machine Learning scientist intern at the Vector Institute. Her main interest lies at the intersection of graph theory and machine learning, including combinatorics, NLP, and biological physics. Mozhgan is currently in the team of organizing and teaching the AI for Clinician course at the university of Toronto and the University Health Network (UHN).",6476551215,,,,https://linkedin.com/in/mojgansaeidi,mojgansaeidi,True,False,https://canadaai.jobboard.io/api/v1/profiles/cba28aae-5e3c-4c9b-8291-7da3d80be354/resume,Toronto,Ontario,,Canada,,2022-05-31T12:07:06.565Z,2022-11-18T01:00:16.626Z,False,False,Internal Staff,Yes,Post Graduate Affiliate,,Fall 2022 (August - November),,Ms.,https://linkedin.com/in/mojgansaeidi,,Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Science,"Education, Health","Full Time, Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Architect, Data Scientist, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -25670423-4336-4da5-b5e0-942203f5f3f3,asarebernard98@gmail.com,Bernard,Asare,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Master's Research Student,,(343) 597-4576,,,,https://www.linkedin.com/in/bernard-asare-1419171a9/,,True,True,https://canadaai.jobboard.io/api/v1/profiles/25670423-4336-4da5-b5e0-942203f5f3f3/resume,Ottawa,Ontario,,Canada,,2022-08-31T17:18:18.049Z,2022-09-12T09:59:20.401Z,False,False,Vector Scholarship Recipient,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2024 (August - November),,Mr.,N/A,"Anomaly detection, Data science, Deep learning, Machine learning, Neuroscience, Online learning, Privacy, anonymity, and/or security",Graduate Degree (Masters),Entry Level (0-2 Years),Applied Artificial Intelligence,"Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Telecommunications","Full Time, Internship, Contract","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Ottawa,True,True,True,True -da4efda6-f614-4caf-9cee-710e71d1da7b,22xn6@queensu.ca,Maha,Qamar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-11-23T21:25:18.045Z,2022-11-23T21:25:18.083Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Ms.,https://www.linkedin.com/in/maha-qamar-236543b0/,"AI safety, Machine learning, Privacy, anonymity, and/or security, Statistical learning theory",Graduate Degree (Masters),Mid-Level (3-5 Years),MFIT,"Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Type of Work is More Important to me than Sector","Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Product/Project Manager, Other ",Queen's University,True,False,True,True -7678190b-0050-40e9-9cf8-4e7ed4dfe65b,20jape@queensu.ca,Alexis,Esquivel,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-09-19T20:18:01.094Z,2022-09-28T22:30:14.552Z,False,False,Recognized Masters Program,Yes,,,,,,linkedin.com/in/alexispenaesquivel/,,,,,,,,,True,False,True,True -e3ced230-ad55-4823-b31f-3d902930de49,aindba@outlook.com,Ain,Li,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-05-12T14:22:37.354Z,2022-09-04T06:23:25.638Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/ainli/,,,,,,,,,True,True,True,True -5187bb1b-f0ac-4978-94dd-41592a68fc6f,gayathiri.murugamoorthy@gmail.com,Gayathiri,Murugamoorthy,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Product| Analytics| Machine Learning,,6472739733,,,,https://linkedin.com/in/gayathiri-murugamoorthy,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5187bb1b-f0ac-4978-94dd-41592a68fc6f/resume,Toronto,Ontario,,Canada,,2020-02-15T01:50:25.324Z,2021-01-07T03:53:03.144Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://linkedin.com/in/gayathiri-murugamoorthy,,Graduate Degree (Masters),Entry Level (0-2 Years),MEng Electrical and Computer Engineering focused on AI,"Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development)",Full Time,,Ryerson University,True,True,True,True -fa234f16-672d-4ab3-8b99-866b7bee416f,lmishra@uwaterloo.ca,Lipsa,Mishra,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Analyst,Studying Master in Data Science and AI. Seeking Summer 2020 co-op opportunities,6476460033,,,,https://www.linkedin.com/in/lipsa-mishra-24149b102,,True,False,https://canadaai.jobboard.io/api/v1/profiles/fa234f16-672d-4ab3-8b99-866b7bee416f/resume,Waterloo,Ontario,,Canada,,2020-01-10T01:03:25.410Z,2020-01-12T05:10:29.533Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/lipsa-mishra-24149b102,,Graduate Degree (Masters),,Master in Data science and Artificial Intelligence,"Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op",,University of Waterloo,True,True,True,True -7081a559-9b36-4f72-aa8b-7c49d38be760,ly.hc.chan@gmail.com,Lyndon,Chan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Master's Research Assistant,"I’m a Master’s student at the Multimedia Lab in the University of Toronto, where I work on computer vision and deep learning applied to computational pathology. I studied my Bachelor’s in Electrical Engineering at the University of Toronto and worked on video post-processing at Qualcomm for a year. -My thesis research focused on weakly-supervised semantic segmentation of histological tissue type from digital pathology images. My other research interests include: abnormality detection, human prior knowledge transfer, image enhancement, and image understanding. -I am currently looking for an internship or full-time position in machine learning, computer vision, or data science starting in January 2020 or later.",6473301294,,https://lyndonchan.github.io/,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/7081a559-9b36-4f72-aa8b-7c49d38be760/resume,Toronto,Ontario,,Canada,,2020-01-17T20:55:46.123Z,2020-03-17T20:33:34.368Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,David Fleet,Already Graduated,,Mr.,https://www.linkedin.com/in/lyndonchan/,,Graduate Degree (Masters),,"MASc, Electrical Engineering","Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract",,University of Toronto,True,True,True,True -0e61d015-7ed8-410c-b13d-7d56735c5706,lunjun@cs.toronto.edu,Lunjun,Zhang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Student Researcher,,,,http://www.cs.toronto.edu/~lunjun/,,https://www.linkedin.com/in/lunjun-zhang/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0e61d015-7ed8-410c-b13d-7d56735c5706/resume,,,,,,2019-12-02T18:09:05.094Z,2020-10-07T19:01:02.208Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Jimmy Ba,Already Graduated,,Mr.,https://www.linkedin.com/in/lunjun-zhang-73b652112/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Engineering Science,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship",,University of Toronto,True,True,True,True -4d9792ad-7d96-4054-8cb7-d4f34fda9bb3,mamta.gupta06@gmail.com,Mamta,Gupta,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Experienced Data Engineer/Scientist,,8042146797,,,,https://www.linkedin.com/in/mamta-gupta/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4d9792ad-7d96-4054-8cb7-d4f34fda9bb3/resume,Toronto,Ontario,,Canada,,2019-11-01T16:59:38.556Z,2020-01-21T22:56:23.616Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mrs.,https://www.linkedin.com/in/mamta-gupta/,,Graduate Degree (Masters),,MMAI,"Financial Services, Health, Professional Services (e.g Consulting), Retail","Internship, Co-op, Capstone Project",,Queen's University,True,True,True,True -8597a3f4-dc5e-4614-9809-5f4052fed45e,mahwishkhalid2007@gmail.com,Mahwish,khalid,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-11-16T05:54:28.809Z,2019-11-16T05:54:28.834Z,False,False,Recognized Masters Program,Yes,,Ontario,,,Mrs.,https://www.linkedin.com/in/mahwish-k-a1271931/,,,,MMAI,"Financial Services, Retail, Telecommunications",Full Time,,York University,True,True,True,True -7511654d-9db7-47f1-a42b-a4a64d36c51f,ogbuaguno@gmail.com,Nkechinyere,Ogbuagu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/nkechinyere-ogbuagu-2711b67a/,,True,False,,,,,,,2019-12-02T16:36:30.961Z,2019-12-02T16:36:31.014Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Miss.,https://www.linkedin.com/in/nkechinyere-ogbuagu-2711b67a/,,,,"Master of Computer Science, Concentration in Applied Artificial Intelligence","Financial Services, Retail","Full Time, Internship, Co-op",,University of Ottawa,True,True,True,True -945927ae-cd24-412c-8dc2-d9f1f50e03f1,kunnie525@gmail.com,Kate,Nie,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6478332699,,,,,,True,False,,Toronto,Ontario,,Canada,,2019-12-03T03:40:52.391Z,2019-12-03T03:40:52.427Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Quaid Morris,,,Ms.,Not Found,,,,Molecular Genetics,"Financial Services, Retail, Telecommunications","Full Time, Internship, Co-op, Contract",,University of Toronto,True,True,True,True -e4a306c0-ac10-4508-b8f7-c94def63d609,lavanya.sharma.09@gmail.com,Lavanya,Sharma,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,2269788961,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e4a306c0-ac10-4508-b8f7-c94def63d609/resume,,,,,,2019-12-03T16:23:52.065Z,2020-01-13T05:19:34.771Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/lavanya-sharma/,,,,Masters in Data Science and AI,"Education, Financial Services, Software, Technology (Product Development)",Co-op,,University of Waterloo,True,True,True,True -2227b60f-0052-44a0-8309-35766c09cb25,farbod.ab@hotmail.ca,Farbod,Abolhassani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-03T16:04:39.638Z,2019-12-03T16:04:39.676Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/farbod-abolhassani/,,,,Masters of Health Informatics,,Full Time,,University of Toronto,True,True,True,True +6c52b6a1-0182-40a7-9f3a-4374f29e6f00,vaidehiatodaria@yahoo.com,vaidehi,atodaria,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-09T12:59:58.613Z,2022-09-09T14:55:10.379Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mrs.,https://www.linkedin.com/in/vaidehi-atodaria-55638222b/,"Data science, Deep learning, Healthcare and/or medical imaging",Graduate Degree (Masters),Entry Level (0-2 Years),Masters of data science and analytics,"Financial Services, Health, Public Administration (i.e Gov't), Technology (Information and Media)",Full Time,"Data Analyst, Data Engineer, Data Scientist, Machine Learning Researcher/Scientist ",Ryerson University,True,False,True,True +b8c383f7-4701-4e9a-bc0e-63740e07663e,taozeyu04@gmail.com,Zeyu,Tao,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-09T12:59:59.101Z,2022-09-10T01:31:00.210Z,False,False,Recognized Masters Program,Yes,,,,,,N/A,,,,,,,,,True,False,True,True +12793a1e-2bae-4658-bc6e-1c2533d43844,jasper.gao@rotman.utoronto.ca,Jasper,Gao,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-09T13:00:03.809Z,2022-09-21T18:49:47.336Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/jasper-gao/,,,,,,,,,True,True,True,True +5f0f8e74-04d3-4df3-9764-45e62e4e4b83,tong.su@mail.utoronto.ca,Tong,Su,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,4376843329,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5f0f8e74-04d3-4df3-9764-45e62e4e4b83/resume,Toronto,Ontario,,Canada,,2022-03-04T19:57:45.184Z,2022-03-04T19:57:45.211Z,False,False,Not Affiliated with Vector,No,Other/Unsure,Ontario,Spring/Summer 2024 (April - July),,Ms.,N/A,"Data science, Deep learning, Machine learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science,"Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Internship, Co-op, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True +63f36731-3be0-4c4b-b37d-48c6f1ef6432,caules.ge@mail.utoronto.ca,Hongshou,Ge,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6476575176,,https://github.com/CaulesGe,,,,True,False,,Toronto,Ontario,,Canada,linkedin,2022-05-07T03:05:07.429Z,2022-05-07T03:05:07.451Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Winter 2024 (December 2023 - March 2024),idk,Mr.,https://www.linkedin.com/in/hongshouge/,"Game theory, Wearable technology and/or Internet of Things",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science,Software,"Internship, Co-op",Software Engineer,University of Toronto,True,False,True,True +46194bf8-76c2-4fad-af82-6b8eea5209d5,ahmedsomaan7@gmail.com,Ahmed,Somaan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Student,,647-883-9257,,,,https://www.linkedin.com/in/ahmed-somaan-276ab6197/,,True,False,,Toronto,Ontario,,Canada,linkedin,2020-01-09T19:59:57.525Z,2020-01-09T19:59:57.541Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Other/Undetermined,Applying For Coop,Mr.,https://www.linkedin.com/in/ahmed-somaan-276ab6197/,,Undergraduate Degree (Bachelors),,computer engineering,"Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Internship, Co-op",,University of Waterloo,True,False,True,True +c25d1838-ec62-4c55-88a8-1d4d37272ce1,ama@cs.toronto.edu,Avery,Ma,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,Grad student at UofT/Vector,,,http://averyma.com,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c25d1838-ec62-4c55-88a8-1d4d37272ce1/resume,Toronto,Ontario,,Canada,,2020-03-10T22:22:47.805Z,2020-10-21T18:42:43.064Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Amir-massoud Farahmand and Rich Zemel,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/avery-ma-326522158/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),2,Type of Work is More Important to me than Sector,Internship,,University of Toronto,True,True,True,True +6e17590b-e673-40d6-96d3-34539a717ab7,atul.grover@mail.utoronto.ca,Atul ,Grover,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6475684395,,,,https://www.linkedin.com/in/atul-grover-115404113/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6e17590b-e673-40d6-96d3-34539a717ab7/resume,Toronto,Ontario,,Canada,,2020-01-10T14:40:29.627Z,2020-03-03T19:32:18.118Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,,Already Graduated,,Mr.,https://www.linkedin.com/in/atul-grover-115404113/,,Graduate Degree (Masters),,Master of Engineering,Type of Work is More Important to me than Sector,Full Time,,University of Toronto,True,True,True,True +7a538e9e-661e-409a-98f0-2a07458cedfb,lhm.soleimani@gmail.com,Elham,Soleimani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-05-12T14:22:40.960Z,2022-06-02T20:20:01.258Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2024 (August - November),,Mrs.,https://www.linkedin.com/in/elham-s-40198273/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Science,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Capstone Project","Data Analyst, Data Scientist",University of Guelph,True,True,True,True +29a37cb5-0ec5-4f13-a2af-533ee10c3015,m.malik@queensu.ca,MohammedTufail,Malik,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/tufail-malik/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/29a37cb5-0ec5-4f13-a2af-533ee10c3015/resume,,,,,,2021-12-22T19:56:12.183Z,2022-01-14T16:11:09.028Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/tufail-malik/,"Computer vision, Deep learning, Robotics, Transfer learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Engineering,"Manufacturing , Professional Services (e.g Consulting), Retail, Technology (Information and Media), Technology (Product Development), Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract","Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",Queen's University,True,True,True,True +1d92d42f-6218-4445-adbf-482372c7e1a1,adam.gronowski@queensu.ca,Adam,Gronowski,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-08-13T19:40:24.025Z,2022-05-16T17:24:29.673Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/adamgronowski/,"AI safety, Deep learning, Healthcare and/or medical imaging",Graduate Degree (Masters),Entry Level (0-2 Years),Machine Learning,Type of Work is More Important to me than Sector,"Full Time, Internship","Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True +1e8b7f7d-c596-475c-8dcc-6c335db686fc,jsnell@cs.toronto.edu,Jake,Snell,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,http://jakesnell.com,,,,True,False,,,,,,,2020-02-26T17:35:03.678Z,2020-02-26T22:37:57.370Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Richard Zemel,Already Graduated,,Mr.,Not Found,"Bayesian methods, Deep learning, Few-shot learning, Gaussian processes, Meta-learning, Transfer learning",Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Science,"Education, Health, Professional Services (e.g Consulting), Software, Telecommunications, Type of Work is More Important to me than Sector",Contract,Machine Learning Researcher/Scientist ,University of Toronto,True,True,True,True +0e9e8371-0f98-42b1-8f1d-90286864ff4c,havaledar@gmail.com,Mohammad,Havaledar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-05-25T07:43:32.636Z,2022-05-25T07:43:32.714Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,N/A,"AI safety, Anomaly detection, Bayesian methods, Bioinformatics, Computer vision, Data science, Deep learning, Game theory, Healthcare and/or medical imaging, Law, ethics and policy, Machine learning, Natural language processing, Online learning, Recommender systems, Reinforcement learning, Self-supervised learning, Statistical learning theory, Time-series forecasting and modelling, Unsupervised learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Data Science,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",University of Guelph,True,False,True,True +be203f68-907f-4282-a33f-4def84e976bb,r6ou@edu.uwaterloo.ca,Racheal,Ou,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Candidate for Bachelor in Computer Science and Business Administration,Innovative student seeking internships!,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/be203f68-907f-4282-a33f-4def84e976bb/resume,,,,,,2020-03-04T07:25:16.712Z,2020-03-04T07:25:16.736Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Other/Undetermined,No Association,Miss.,https://www.linkedin.com/in/racheal-ou/,,Undergraduate Degree (Bachelors),,Double Degree Computer Science and Business Administration,"Education, Financial Services, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Internship, Co-op",,University of Waterloo,True,True,True,True +4ce294b4-7d7c-4bc9-a56c-d02d78f2d4fb,katradiya@gmail.com,Diya,Katra,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2020-01-22T00:39:38.691Z,2020-01-22T00:39:38.708Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/diya-katra/,,Undergraduate Degree (Bachelors),,,,,,,True,False,True,True +de9ec581-9595-45bb-89b8-73a449753544,strongsimonj@gmail.com,Simon,Strong,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/de9ec581-9595-45bb-89b8-73a449753544/resume,,,,,,2020-02-09T03:16:19.317Z,2020-03-14T00:43:19.690Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/simon-strong-/,,Graduate Degree (Masters),,Master of Business Analytics,"Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't)",Full Time,,York University,True,True,True,True +f2c739f8-9a85-4688-b783-8d8ca846f6a6,essatahir3@gmail.com,essa,tahir,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f2c739f8-9a85-4688-b783-8d8ca846f6a6/resume,,,,,,2020-01-07T17:52:30.818Z,2020-01-07T17:52:30.846Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Fall 2021,,Mr.,https://www.linkedin.com/in/essa-tahir/,,College Diploma,,computer system technology,"Software, Technology (Information and Media), Technology (Product Development)",Co-op,,Other,True,True,True,True 748f76b0-6a59-4c27-9b78-c4cb0e1266ca,karami1@ualberta.ca,Mahdi,Karami,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/748f76b0-6a59-4c27-9b78-c4cb0e1266ca/resume,,,,,,2020-12-06T15:53:48.813Z,2020-12-06T15:56:03.816Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,Graduated from Computing Science - University of Alberta,Dr.,https://www.linkedin.com/in/mahdi-karami-2957412a/,"Anomaly detection, Bayesian methods, Bioinformatics, Computer vision, Deep learning, Generative modeling, Healthcare and/or medical imaging, Machine learning, Optimization, Reinforcement learning, Representation learning, Statistical learning theory, Time-series forecasting and modelling, Unsupervised learning",Postgraduate Degree (PhD),Senior Level (5+ Years),Statistical Machine Learning - Computing Science,"Financial Services, Health, Professional Services (e.g Consulting), Telecommunications, Type of Work is More Important to me than Sector",Full Time,,Other,True,True,True,True -0adcebbe-ede6-4839-95b8-4b07d53fc5b6,dbpatel2412@gmail.com,Darshan,Patel,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-11-26T01:14:20.674Z,2020-11-26T01:14:20.718Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,N/A,,Graduate Degree (Masters),Mid-Level (3-5 Years),MSc in Computational Sciences,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Contract, Capstone Project",,Laurentian University,True,True,True,True -0e9c6ae6-645c-4912-8b14-6bfe69a797fe,annazmy@outlook.com,Mingyu,Zhao,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,Toronto,Ontario,,Canada,,2021-09-10T17:42:53.499Z,2021-09-11T03:05:37.209Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Miss.,N/A,Data science,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management in Artificial Intelligence,"Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Product Development)","Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",Queen's University,True,False,True,True 9b532be3-e4cb-4ff2-912f-65f745a0730b,contact@angelvalencia.me,Angel,Valencia,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,https://angelvalencia.me/,,https://www.linkedin.com/in/angel-j-valencia/,ajvalenc,True,False,https://canadaai.jobboard.io/api/v1/profiles/9b532be3-e4cb-4ff2-912f-65f745a0730b/resume,Ottawa,Ontario,,Canada,,2021-07-28T14:53:14.992Z,2021-07-28T14:53:15.024Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Fall 2024 (August - November),PhD Student,Mr.,https://www.linkedin.com/in/angel-j-valencia/,"Computer vision, Machine learning, Robotics",Postgraduate Degree (PhD),Entry Level (0-2 Years),Electrical and Computer Engineering,"Software, Technology (Product Development)",Internship,Machine Learning Researcher/Scientist ,University of Ottawa,True,False,True,True +3ccfd25f-3f21-42ac-a575-dcacde531308,21as137@queensu.ca,Aaron,Sum,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/aaronsum135813/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3ccfd25f-3f21-42ac-a575-dcacde531308/resume,,,,,,2022-02-08T22:23:56.475Z,2022-02-24T01:11:39.237Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/aaronsum135813/,"Computer vision, Data science, Deep learning",Graduate Degree (Masters),Mid-Level (3-5 Years),2021,"Education, Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)",Internship,"Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True +b0b85e72-c67f-4809-bb32-c98f9a5b2671,alim.mogtaba@gmail.com,Mogtaba,Alim,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-02-06T19:02:23.068Z,2022-02-24T03:38:49.568Z,False,False,Connected to Vector Research,Yes,Other/Unsure,,Spring/Summer 2024 (April - July),Introduction to Machine Learning course for Black and Indigenous students,Mr.,https://www.linkedin.com/in/mogtaba-alim/,"Bioinformatics, Computational biology, Healthcare and/or medical imaging",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science and Bioinformatics & Computational Biology,"Health, Software, Technology (Product Development)","Internship, Co-op","Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",University of Toronto,True,True,True,True +0e9c6ae6-645c-4912-8b14-6bfe69a797fe,annazmy@outlook.com,Mingyu,Zhao,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,Toronto,Ontario,,Canada,,2021-09-10T17:42:53.499Z,2021-09-11T03:05:37.209Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Miss.,N/A,Data science,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management in Artificial Intelligence,"Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Product Development)","Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",Queen's University,True,False,True,True +80aa7af3-5d54-4501-beb2-0092b938a85f,jouyand@uwindsor.ca,Farzaneh,Jouyandeh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/80aa7af3-5d54-4501-beb2-0092b938a85f/resume,,Ontario,,Canada,,2022-01-17T15:44:11.818Z,2022-01-17T15:44:11.864Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mrs.,https://www.linkedin.com/in/farzaneh-jouyandeh/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Senior Level (5+ Years),MSc. Computer Science,"Construction or Infrastructure, Professional Services (e.g Consulting), Software, Technology (Information and Media)","Full Time, Internship","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Windsor,True,False,True,True df68d026-7f88-4b04-9469-1ff0b28f2928,paryabehzadi@hotmail.ca,parya,Behzadi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-10-24T22:54:58.771Z,2021-10-24T22:54:58.855Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,,Mrs.,N/A,,Postgraduate Degree (PhD),Senior Level (5+ Years),"Molecular, cellular and integrative physiology",Health,Full Time,"Data Scientist, Machine Learning Researcher/Scientist ",Other,True,False,True,True +93c40e7e-882d-4d2a-86d7-16e25251c1bc,hailey.cheema@hotmail.ca,Hailey,Cheema,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Project Analyst,"Established health leader and advocate in the field of organ donation & transplant specifically on the fronts of research, analysis, political, and educational campaigns. I am currently a National Youth Governance Delegate for The Kidney Foundation of Canada National Board of Directors.",,,,,https://www.linkedin.com/in/hailey-cheema/,,True,False,,,,,,,2021-09-01T20:48:01.801Z,2021-09-02T15:50:35.083Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Ms.,https://www.linkedin.com/in/hailey-cheema/,"Bioinformatics, Healthcare and/or medical imaging, Optimization",Graduate Degree (Masters),Mid-Level (3-5 Years),Executive Masters of Health Informatics,"Health, Manufacturing , Professional Services (e.g Consulting), Software, Technology (Product Development)","Full Time, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Product/Project Manager",University of Toronto,True,False,True,True +b835efa2-a8cb-4c5f-b282-1789311f617e,dylanmendonca@gmail.com,Dylan,Mendonca,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/dylanmendonca/,,True,False,,,,,,,2020-11-20T17:48:46.878Z,2020-11-20T17:48:46.914Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Winter 2021,I am a student at UofT,Mr.,https://www.linkedin.com/in/dylanmendonca/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Engineering Chemical Engineering,"Health, Software, Technology (Product Development)","Full Time, Internship",,University of Toronto,True,True,True,True +0adcebbe-ede6-4839-95b8-4b07d53fc5b6,dbpatel2412@gmail.com,Darshan,Patel,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-11-26T01:14:20.674Z,2020-11-26T01:14:20.718Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,N/A,,Graduate Degree (Masters),Mid-Level (3-5 Years),MSc in Computational Sciences,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Contract, Capstone Project",,Laurentian University,True,True,True,True +066d85cc-1359-4e0e-b6e9-56620802348b,arman.didandeh@uwo.ca,Arman,Didandeh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,AI Product Manager - MLOps Engineer,,,,,,https://www.linkedin.com/in/armandidandeh/,,True,False,,Toronto,Ontario,,Canada,,2020-07-30T20:25:52.077Z,2020-09-22T01:22:16.466Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,,Mr.,https://www.linkedin.com/in/armandidandeh/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Science,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Product Development)",Full Time,,Western University,True,False,True,True +812eb09e-de38-4057-a674-a64b94455dbf,moujan.saderi@mail.utoronto.ca,Moujan,Saderi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/812eb09e-de38-4057-a674-a64b94455dbf/resume,Toronto,Ontario,,Canada,,2021-09-01T20:47:31.491Z,2021-09-21T01:19:48.598Z,False,False,Not Affiliated with Vector,No,Vector Scholarship Recipient,,Spring/Summer 2023 (April - July),,Ms.,N/A,,Graduate Degree (Masters),Mid-Level (3-5 Years),Medical Biophysics,Health,Internship,"Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True +31304400-502c-4ef1-8d9a-e18e887f1c26,abdulmuizzkelani@gmail.com,Abdul-muizz,Kelani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-09-11T13:47:17.404Z,2020-09-11T14:21:04.827Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/abdul-muizz-kelani-254928171/,,,,,,,,,True,True,True,True +10aff549-e020-4512-bd49-7731faacf889,arezaza6@uwo.ca,Arshin,Rezazadeh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-10-30T15:30:42.992Z,2020-11-01T00:33:34.737Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/arshinr/,,,,,,,,,True,True,True,True +f88d90ea-971e-4bbd-b03a-2e0b7254228c,hyzzsq@gmail.com,Philip,Huang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-09-01T20:47:29.527Z,2021-09-23T01:05:23.006Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/philip-yizhou-huang/,,,,,,,,,True,True,True,True +e13208ed-dfcf-4b8a-9365-eb8f1158f0d5,ibrahim1.mohamed@ryerson.ca,Ibrahim,Mohamed,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Software Engineer,"I'm a software engineer with 6+ years of experience building large-scale applications to improve the developer experience, improve code quality, and shorten the time to release. +I'm looking for new challenges to combine my software development experience with opportunities in AI.",,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e13208ed-dfcf-4b8a-9365-eb8f1158f0d5/resume,,,,,,2021-09-10T17:42:55.412Z,2021-09-23T13:07:03.311Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/ibmohamed44/,"Law, ethics and policy",Graduate Degree (Masters),Senior Level (5+ Years),Electrical and Computer Engineering,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Product Development), Transportation",Full Time,"Business Analyst/Business Intelligence Analyst , Machine Learning Engineer, Software Engineer",Ryerson University,True,True,True,True +c049cc25-15d7-44f7-8bae-aa91b82fc7fb,dborgesm@uwo.ca,Daniela,Borges Martinez,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Master of Data Analytics candidate at Western University | Analytics and Reinsurance Experience,"I have always been passionate about applying mathematical reasoning to real-world problems; that is why I decided to do my Undergraduate in Actuarial Sciences, where I developed my statistical, analytical, and programming skills. Afterward, I supported the establishment of a representative office of a reinsurance company in Mexico City and gave international actuarial support. +However, my desire to learn how to obtain, process, and build models out of data made me realize that I want to focus my career in data analytics. Taking this new path will let me continue to grow not only my technical skills but my interpersonal ones and be able to contribute to any industry. +I finished my Master of Data Analytics at Western Ontario in August 2020. Currently, I am working as a Data Scientist at Scotiabank where my day to day activities involve extract data from the Unix servers and analyze the lending products using a customer level approach. As a result, I found myself even further drawn to use my potential to help organizations identify, attract, and retain the most profitable customers and turn their data into business insights for decision making. +",2269983914,,https://github.com/dborgesm,,https://www.linkedin.com/in/daniela-borges-martinez-65bb09116/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c049cc25-15d7-44f7-8bae-aa91b82fc7fb/resume,Richmond Hill,Ontario,,Canada,,2019-12-29T23:33:42.284Z,2020-09-12T14:18:38.260Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/daniela-borges-martinez-65bb09116/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Data Analytics,"Financial Services, Professional Services (e.g Consulting), Technology (Information and Media)",Full Time,,Western University,True,True,True,True +af1b46a9-d7fa-456c-80be-e54ebc433180,mozhgan.saeidi@dal.ca,mozhgan,saeidi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-01-18T02:10:33.185Z,2021-03-08T12:54:51.552Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Student or Postdoc of a Vector Faculty Member,,Already Graduated,,Miss.,https://linkedin.com/in/mojgansaeidi,"Data science, Deep learning, Game theory, Machine learning, Natural language processing, Optimization",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science,"Education, Health, Technology (Information and Media), Type of Work is More Important to me than Sector","Internship, Co-op, Contract, Capstone Project",,Other,True,True,True,True +db7f6fe9-4408-407b-ae50-c31fb23d2df3,yzhu347@hotmail.com,Michael,Zhu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,"With a passion for data analytics, I love solving real-world problems by drawing practical insights from the data that is all around us. I believe that while statistical and artificial intelligence tools are helpful for data analysis, they are not substitutes for critical thinking and field expertise. They simply cannot replace creativity and human ingenuity. There is where I come in, to translate statistical data into comprehensible information that is useful for decision-making. +My undergraduate education and work experience has given me a strong understanding of corporate strategy and business needs. As a result, I am able to ensure that my statistical and machine learning solutions are appropriate for the business problem at hand. In addition, I can effectively communicate with both technical experts and business managers, and can explain my solutions in a manner that is suitable for my audience. ",5196949671,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/db7f6fe9-4408-407b-ae50-c31fb23d2df3/resume,Toronto,Ontario,,Canada,,2019-12-11T18:31:36.609Z,2020-01-17T01:29:28.538Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/michael-z-046417190/,,Graduate Degree (Masters),,Master of Management in Artificial Intelligence,"Financial Services, Retail, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op, Contract, Capstone Project",,Queen's University,True,True,True,True +8457c27d-e8f4-4dbc-8f8e-9d67a92142e1,boukhalilanthony@gmail.com,Anthony,Bou Khalil,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-22T08:00:10.836Z,2019-12-25T22:19:13.426Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,,Ryerson University Student,Mr.,https://www.linkedin.com/in/anthonyboukhalil/,,,,Computer Science,Software,"Internship, Co-op",,Ryerson University,True,False,True,True +dbccd0f1-289d-470f-9a73-688810c4b78c,pathik0805@gmail.com,Pathik,Patel,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Student,"I'm a Machine Learning enthusiast looking for summer co-op opportunities, eager to work in the industry to understand the real world applications and the challenges associated with it. ",8073580083,,,,https://www.linkedin.com/in/pathik-patel-2493a015b/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/dbccd0f1-289d-470f-9a73-688810c4b78c/resume,Thunder Bay,Ontario,,Canada,linkedin,2019-12-07T02:12:15.878Z,2020-01-24T16:12:10.096Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/pathik-patel-2493a015b/,,Graduate Degree (Masters),,Masters in Computer Science,"Financial Services, Health, Software, Technology (Product Development)","Internship, Co-op",,Lakehead University,True,True,True,True +329e69e0-2599-435a-bce1-4281f25e585e,ruo.cxie@gmail.com,Andy,Xie,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Engineering Undergraduate Student,,647 669 8515,,,,,,True,False,,Toronto,Ontario,,Canada,,2019-12-27T20:30:01.712Z,2019-12-27T20:30:01.760Z,False,False,Connected to Vector Research,Yes,Other/Unsure,,,I was working on a few machine learning projects in a lab that was led by a professor in the Vector Institute.,Mr.,https://www.linkedin.com/in/andy-xie-666770123/,,,,Engineering Science,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Type of Work is More Important to me than Sector","Internship, Co-op",,University of Toronto,True,True,True,True +56ba0c52-3a24-4e6e-90f2-94b08a40da9c,b8armstr@uwaterloo.ca,Ben,Armstrong,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,Waterloo,Ontario,,Canada,,2019-12-14T16:31:17.817Z,2019-12-14T16:31:17.906Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Student or Postdoc of a Vector Faculty Member,Kate Larson,,,Mr.,Not Found,,,,PhD Computer Science,,"Full Time, Internship",,University of Waterloo,True,True,True,True +8cecc294-e70b-4334-b10c-d07af1801007,gloriamak@pm.me,Gloria,Mak,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6478013629,,https://www.gloriamak.com,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8cecc294-e70b-4334-b10c-d07af1801007/resume,Toronto,Ontario,,Canada,,2019-12-03T17:32:30.618Z,2019-12-03T17:32:30.655Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Miss.,https://www.linkedin.com/in/gmak/,,,,Master of Management Analytics,"Retail, Telecommunications","Full Time, Internship",,Queen's University,True,False,True,True +b1decd9e-a621-48bd-8d0b-6d5ff566ff01,kthapar@lakeheadu.ca,Kunal,Thapar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-05T14:25:45.284Z,2019-12-05T14:25:45.407Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/kunal-thapar-6907a296/,,,,Master in computer science,"Financial Services, Retail","Full Time, Internship, Contract",,Lakehead University,True,False,True,True +ebd5e7e6-a923-4c4d-bcda-494bd5d95219,siddhidave94@gmail.com,Siddhi,Dave,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Experienced Engineer Software Developer ,,4372443672,,,,,,True,False,,London,Ontario,,Canada,,2019-12-31T20:03:41.396Z,2019-12-31T20:03:41.440Z,False,False,Not Affiliated with Vector,No,Post Graduate Affiliate,,,,Ms.,https://www.linkedin.com/in/siddhi-dave/,,,,Business and Information Systems Architecture,"Software, Technology (Information and Media), Technology (Product Development)","Internship, Co-op, Capstone Project",,Other,True,True,True,True +dd46e090-8b6d-4c74-9dac-1f5acbc95cbd,lihaocaleo@gmail.com,Hao,Li,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2019-12-11T16:13:28.873Z,2019-12-11T16:13:28.895Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/hao-li-b04436124/,,,,,,,,,True,False,True,True +67f4a2cf-4f24-433f-bc80-b3f5c022ce97,jingxiaozh@gmail.com,Jingxiao,Zhang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,"Manager, Campaign Design",,647-526-0821,,,,,,True,False,,Toronto,Ontario,,Canada,,2019-12-04T01:11:31.114Z,2019-12-04T01:11:31.157Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Miss.,https://www.linkedin.com/in/jingxiao-zhang/,,,,Master of Management Analytics,"Financial Services, Retail, Telecommunications","Full Time, Internship, Co-op, Contract, Capstone Project",,Queen's University,True,True,True,True +0fd05124-3b98-406e-8a5e-8057f0874045,umarazakhan@gmail.com,Umar,Khan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2020-01-04T01:06:39.884Z,2020-01-04T01:06:39.907Z,False,False,Not Affiliated with Vector,No,,,,,,Not Found,,,,,,,,,True,True,True,True +070544ec-7000-4299-aa4d-1f4c02572477,dlf772@gmail.com,Linhui,Dai,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Scientist Intern,"I am a graduate student in the programme of Master of Applied Science (M.A.Sc.) of Electrical and Computer Engineering at McMaster University supervised by Dr. Jun Chen. I am an enthusiast of deep learning and computer vision with a research area centers on low-level vision, segmentation, and image matting. I plan to graduate at 2021 Summer and look forward to joining a ful-time position at that time.",,,https://charlie0215.github.io,,https://www.linkedin.com/in/charlie-linhui-dai-978359125/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/070544ec-7000-4299-aa4d-1f4c02572477/resume,,,,,,2020-06-09T16:05:56.422Z,2021-03-10T02:37:14.137Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/charlie-linhui-dai-978359125/,,Graduate Degree (Masters),Entry Level (0-2 Years),Electrical Engineering Co-op,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Capstone Project",,McMaster University,True,True,True,True +9ea9ecd2-a863-4a87-bf31-54785396a057,sahilsinghsodhi@gmail.com,Sahil,Sodhi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,"Software Developer, Machine Learning Developer",,5148120752,,https://github.com/SAHILSODHI,,https://www.linkedin.com/in/sahil-sodhi-6978747b/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9ea9ecd2-a863-4a87-bf31-54785396a057/resume,Brampton,Ontario,,Canada,,2020-07-19T04:12:38.141Z,2020-07-19T04:12:38.164Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/sahil-sodhi-6978747b/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Applied Computer Science,"Software, Technology (Product Development)","Full Time, Contract",,Other,True,True,True,True +c3a34ebe-49d1-4286-95c6-583d55dc3db3,ajisafedaniel@gmail.com,Daniel,Ajisafe,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Scientist | Msc Machine Intelligence,"Data Scientist with a strong analytical background and experience using predictive modeling, data processing, and algorithmic thinking to solve challenging business problems. Involved in Python open-source community and passionate about deep learning. +My research interest is in Computer vision, Image understanding and Machine Perceptron with applications in Health and Automotive industry. I am an AI research scientist with the goal of deploying promising ideas and developing solutions for real-world, large scale problems that would impact lives positively. +I have a strong familiarity with (at minimum) the following: Research, Production, Application, and Impact. ",,,,,,danielajisafe,True,False,https://canadaai.jobboard.io/api/v1/profiles/c3a34ebe-49d1-4286-95c6-583d55dc3db3/resume,,,,,,2020-06-17T00:33:07.251Z,2020-07-06T22:40:03.441Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/daniel-ajisafe-3b5963122/,,Graduate Degree (Masters),Entry Level (0-2 Years),Machine Intelligence,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Contract",,Other,True,True,True,True +8243c588-b25b-44ed-bd7c-5f1743a010bb,mtatiana@aimsammi.org,Tatiana,Moteu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://linkedin.com/in/tatiana-moteu-77244411a,TatianaMoteu,True,False,https://canadaai.jobboard.io/api/v1/profiles/8243c588-b25b-44ed-bd7c-5f1743a010bb/resume,,,,,,2020-07-23T12:22:31.394Z,2020-07-23T12:22:31.414Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://linkedin.com/in/tatiana-moteu-77244411a,,Graduate Degree (Masters),Entry Level (0-2 Years),machine learning,"Education, Software, Technology (Information and Media)","Full Time, Internship, Co-op",,Other,True,False,True,True 81b17d6d-68c0-4154-bcc3-957c5aa4761a,m.shahbaz@queensu.ca,Muhammad ,Shahbaz,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/muhammadshahbazmmai,,True,False,https://canadaai.jobboard.io/api/v1/profiles/81b17d6d-68c0-4154-bcc3-957c5aa4761a/resume,,,,,,2020-07-23T21:06:25.129Z,2020-07-23T21:06:25.151Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Already Graduated,,Mr.,https://www.linkedin.com/in/muhammadshahbazmmai,,Graduate Degree (Masters),Senior Level (5+ Years),Masters in Management in AI,"Education, Financial Services, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector",Full Time,,Queen's University,True,True,True,True 0e07ab15-6d74-4bbc-baba-485382ac113c,jawhar.afli@ensi-uma.tn,Jawhar,AFLI,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-01-08T20:13:24.165Z,2021-01-08T20:13:24.220Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Spring/Summer 2021,I'm a foreign student,Mr.,https://www.linkedin.com/in/jawhar-afli/,"Deep learning, Machine learning, Optimization",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Artificial intelligence,Technology (Product Development),Internship,,Other,True,False,True,True df2cabad-945b-4c1b-8afb-8a609f893dd2,20ts1@queensu.ca,Tindur,Sigurdarson,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-11-06T15:01:36.357Z,2021-06-02T16:41:12.677Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2021,,Mr.,https://www.linkedin.com/in/tindur-sigurdarson-2939ba158/,,Graduate Degree (Masters),Entry Level (0-2 Years),Computing,"Education, Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship",,Queen's University,True,True,True,True @@ -3867,129 +3924,108 @@ e7a0c2f8-de2b-4a1f-a40e-1d767b705ddb,wongfay0207@hotmail.com,Fay,Wong,https://ta 2c3b1fda-97f3-41da-9466-4e74d04d80bd,di.wu@queensu.ca,Di,Wu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Experienced Cloud strategist and architect,,,,,,https://www.linkedin.com/in/diw/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2c3b1fda-97f3-41da-9466-4e74d04d80bd/resume,,,,,,2020-08-13T19:40:31.305Z,2020-08-13T22:15:09.777Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/diw/,,Graduate Degree (Masters),Senior Level (5+ Years),Management Analytics,"Construction or Infrastructure, Financial Services, Health",Full Time,,Queen's University,True,False,True,True d32cb254-f32e-4551-a98e-e90303cb3907,fuv@me.com,Chuck,Fu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,NLP research analyst for quant research,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d32cb254-f32e-4551-a98e-e90303cb3907/resume,Toronto,Ontario,,Canada,,2020-08-13T19:40:34.493Z,2020-08-13T20:10:28.563Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,University of Waterloo,Already Graduated,,Mr.,https://www.linkedin.com/in/chuck-fu-112214176/,,Graduate Degree (Masters),Entry Level (0-2 Years),master of mathematics (computer science),"Financial Services, Professional Services (e.g Consulting), Retail, Technology (Information and Media), Technology (Product Development)",Full Time,,University of Waterloo,True,True,True,True f7e744a6-0978-42bc-8857-f3b1783a6eee,puneet@cs.toronto.edu,Puneet,Gupta,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Science Intern,,,,,,https://www.linkedin.com/in/-puneet-/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f7e744a6-0978-42bc-8857-f3b1783a6eee/resume,Toronto,Ontario,,Canada,,2020-09-04T14:57:50.470Z,2020-09-24T00:52:01.970Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/-puneet-/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science (ML),"Education, Health, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,,University of Toronto,True,False,True,True +97214c79-d5db-459d-b31b-cf9f26786283,mohita.chaudhary.18@gmail.com,Mohita,Chaudhary,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,4168312619,,,,,,True,False,,,,,,,2020-09-04T14:57:49.361Z,2020-09-17T14:49:35.845Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2021,,Ms.,https://www.linkedin.com/in/mohita-chaudhary-615b92112/,,Graduate Degree (Masters),Entry Level (0-2 Years),MASc in ECE,"Software, Technology (Information and Media), Type of Work is More Important to me than Sector",Full Time,,University of Waterloo,True,True,True,True +408cd32a-cb52-4f1e-a220-061675154abd,mbenhaddi@gmail.com,Meriem,BENHADDI,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-02-10T15:42:25.416Z,2021-02-10T21:22:23.698Z,False,False,Connected to Vector Research,Yes,,,,,,N/A,,,,,,,,,True,True,True,True +74cc569d-f809-4ebe-8150-805a485fa5ef,zhan.lin@ucalgary.ca,Gerry,Lin,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-02-10T15:42:32.575Z,2021-02-10T21:10:39.692Z,False,False,Recognized Masters Program,Yes,,,,,,N/A,,,,,,,,,True,True,True,True +fc232926-367d-4f74-a6e7-3d67aa457661,manpreetsnanreh@gmail.com,Manpreet,Nanreh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Graduate Student at Ryerson University,"Hi, I am currently looking for opportunities in the field of computer science with focus in machine learning and data science. I obtained my undergrad degree from University of Toronto in Hon. B.Sc. with double major in computer science and mathematics. After graduating, I worked as a software developer for Tata Consultancy Services where I was contracting through them at BMO as a full stack developer. I was also part of the research and development team for Tata Consultancy Services where we created proof of concepts for different problem scenarios for our clients. Currently, I am pursuing M.Sc. in computer science at Ryerson University and am actively looking for job opportunities for research or non-research positions.",647-871-7470,,https://manpreetnanreh.github.io/personal-website/,,https://www.linkedin.com/in/manpreet-nanreh/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/fc232926-367d-4f74-a6e7-3d67aa457661/resume,Toronto,Ontario,,Canada,,2020-03-25T16:25:19.694Z,2020-03-25T16:25:19.744Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Spring/Summer 2021,Vector scholarship applicant,Mr.,https://www.linkedin.com/in/manpreet-nanreh/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Science in Computer Science,"Education, Health, Software, Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project",,Ryerson University,True,True,True,True +ecf17e41-65f2-4487-a0e9-4c1f20edf5ef,liukeyi1993@gmail.com,Keyi,Liu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Graduate Student,"Passionate and motivated student, working towards a 2nd master degree in the Electrical Engineering and Computer Science Department at York University, actively looking for an intern, with experience and interest in Machine Learning research, Computer Vision applications, and Large-scale AI systems. +Keyi is a master student in Computer Science at York University, expecting to graduate in early 2022. Keyi has also completed another master degree at Rensselaer Polytechnic Institute, US, in 2018. During these 2 programs, Keyi has done a great deal of work with Python (Pytorch, TensorFlow) and had a lot of experience on deep networks for classification, segmentation, regression, and detection, etc. Keyi has built a solid foundation through coursework, including machine learning, data mining, probabilistic graphical models, deep learning, pattern recognition, computer vision, multiview image understanding, and image processing. +After the completion of 2 interships and multiple projects, Keyi has gained rich experience in developing real world AI systems, deploying machine leanring algorithms, training deep networks and tuning parameters. Keyi also built up excellent data analytic skills, rich software and data engineering experience from both academia and industry. +Throughout the two research-based master programs, Keyi has been a fast learner. He is able to properly manage time and prioritize different tasks. He is also an active team member with efficient and effective communication and collaboration skills.",6476765693,,https://github.com/shuaiqi361,,https://www.linkedin.com/in/keyi-liu-168240158/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ecf17e41-65f2-4487-a0e9-4c1f20edf5ef/resume,Toronto,Ontario,,Canada,linkedin,2021-06-04T00:38:06.805Z,2021-09-22T20:58:10.190Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,James Elder,Already Graduated,,Mr.,https://www.linkedin.com/in/keyi-liu-168240158/,"Computer vision, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Education, Financial Services, Health, Manufacturing , Retail, Software, Technology (Product Development), Transportation, Type of Work is More Important to me than Sector",Full Time,"Data Engineer, Machine Learning Engineer, Machine Learning Researcher/Scientist ",York University,True,True,True,True +efab8710-122b-498b-abe7-3d34c3b14fa1,wyxzou@gmail.com,William,Zou,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,ML Researcher ,Current MMath in Data Science Student at University of Waterloo and 2 years of working experience as a Research Intern and Software Engineer. Highly evaluated by previous employers for research contribution.,6479391866,,,,https://ca.linkedin.com/in/wyxzou,,True,False,https://canadaai.jobboard.io/api/v1/profiles/efab8710-122b-498b-abe7-3d34c3b14fa1/resume,Waterloo,Ontario,,Canada,linkedin,2021-09-23T02:25:09.699Z,2021-09-23T02:25:09.718Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://ca.linkedin.com/in/wyxzou,"Data science, Deep learning, Optimization, Time-series forecasting and modelling",Graduate Degree (Masters),Mid-Level (3-5 Years),MMath in Data Science,Type of Work is More Important to me than Sector,Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Waterloo,True,True,True,True +7d620b16-6b60-44c6-a57c-9e92dbfffe2f,tyler.mainguy@queensu.ca,Tyler,Mainguy,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,"MSc of Computing, Artificial Intelligence @ Queen's University",Working on applying machine learning to problems in healthcare.,6479260313,,https://tylermainguy.com,,https://www.linkedin.com/in/tyler-mainguy-19aa67142/,,True,False,,Kingston,Ontario,,Canada,,2020-10-30T15:30:41.549Z,2020-11-02T13:33:27.970Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/tyler-mainguy-19aa67142/,,Graduate Degree (Masters),Entry Level (0-2 Years),"Masters of Science (MSc), Computing (Artificial Intelligence)","Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Internship, Co-op, Contract",,Queen's University,True,False,True,True +5f5d9e9c-3366-4003-87f7-a36bc8762fd8,rohit.nallam@yahoo.com,Rohitnath,nallam,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Management analytics student at Queens University,,3096602511,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5f5d9e9c-3366-4003-87f7-a36bc8762fd8/resume,Toronto,Ontario,,Canada,,2021-09-01T20:47:40.714Z,2021-09-01T21:35:21.412Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/rohitnallam/,"Data science, Machine learning, Optimization, Statistical learning theory, Time-series forecasting and modelling",Graduate Degree (Masters),Mid-Level (3-5 Years),masters of management analytics,"Manufacturing , Professional Services (e.g Consulting), Technology (Product Development)","Full Time, Internship, Co-op, Contract","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",Queen's University,True,True,True,True +64d17f41-5fda-4971-9cbe-4595e62156af,nalsadi01@gmail.com,Naseem,Alsadi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-02-01T19:16:09.096Z,2021-02-01T19:16:09.135Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Professor Andrew Gadsden,Already Graduated,,Mr.,https://www.linkedin.com/in/naseemalsadi/,"Computer vision, Deep learning, Machine learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Artificial Intelligence,"Education, Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract",,University of Guelph,True,True,True,True +98ef1c3e-1c10-44ca-87a2-178ffe997318,nheisler@uwaterloo.ca,Natalie,Heisler,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,"Data, Analytics, Artificial Intelligence Business Leader and Researcher",,,,,,https://www.linkedin.com/in/natalieheisler/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/98ef1c3e-1c10-44ca-87a2-178ffe997318/resume,Toronto,Ontario,,Canada,,2021-11-10T16:38:25.748Z,2021-11-10T16:38:25.800Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Dr. Maura Grossman,Already Graduated,,Ms.,https://www.linkedin.com/in/natalieheisler/,"AI safety, Fairness, Law, ethics and policy",Graduate Degree (Masters),Senior Level (5+ Years),Artificial Intelligence Governance,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Contract",Other ,University of Waterloo,True,True,True,True +3f4d0eae-2f04-485c-9f4e-d767bfd0abfa,lauraruthweller@gmail.com,Laura,Weller,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Scientist ,,519-359-6568,,,,https://www.linkedin.com/in/lauraruthweller,,True,False,,Toronto,Ontario,,Canada,,2021-09-01T20:48:00.561Z,2021-09-23T13:14:03.331Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/lauraruthweller/,"Computational biology, Data science, Healthcare and/or medical imaging",Graduate Degree (Masters),Mid-Level (3-5 Years),Health Informatics,"Health, Professional Services (e.g Consulting), Technology (Product Development)","Internship, Co-op","Data Analyst, Data Scientist, Product/Project Manager",University of Toronto,True,False,True,True +c707ca18-c8da-4f18-b824-cf18e0c86c55,shekinah.emmaadamah@mail.utoronto.ca,Shekinah,Emma-Adamah,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Management Analytics Professional,"I am a smart and highly motivated young professional poised to make significant contributions to organizations by applying data analytics and business strategy to solving problems. I have spent over four years in the Energy Industry, and in various capacities, driving improved decision-making through data-informed insights. I possess significant data science competencies from graduate training in management analytics and from professional practice.",6477020291,,,,https://www.linkedin.com/in/shekinah/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c707ca18-c8da-4f18-b824-cf18e0c86c55/resume,Toronto,Ontario,,Canada,,2021-08-24T21:14:52.150Z,2022-01-18T23:15:06.452Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/shekinah/,"Data science, Deep learning, Machine learning, Optimization",Graduate Degree (Masters),Mid-Level (3-5 Years),Management Analytics,"Financial Services, Manufacturing , Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Product/Project Manager",University of Toronto,True,True,True,True +cac5fec7-3d55-42f3-b811-88d7079c8e34,sarahsinha@rogers.com,Sarah,Sinha,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-01-04T20:00:24.478Z,2022-01-04T20:00:24.539Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/sarahsinha/,"Deep learning, Generative modeling, Reinforcement learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management in Artificial Intelligence,"Financial Services, Technology (Information and Media), Type of Work is More Important to me than Sector","Full Time, Capstone Project","Data Analyst, Data Scientist, Machine Learning Engineer",Queen's University,True,False,True,True +d4b5b9fb-5437-4f16-bde5-cabd6e5e2672,kapildevprasadverma@gmail.com,Kapildev,Verma,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-06T06:39:39.704Z,2019-12-06T06:39:39.745Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/kapildev-verma-7b6928197/,,,,Master in Computer science,"Financial Services, Retail, Telecommunications","Full Time, Internship",,Lakehead University,True,True,True,True +96fdb89e-5153-49a3-9ebb-3987ed2b6d63,mokshda.singh@gmail.com,Mokshda,Singh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,True,https://canadaai.jobboard.io/api/v1/profiles/96fdb89e-5153-49a3-9ebb-3987ed2b6d63/resume,,,,,,2020-10-01T01:54:56.262Z,2020-10-01T01:54:56.286Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,,Mrs.,N/A,,Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),"Bachelor's Of Engineering, Information Technology","Education, Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Contract, Capstone Project",,Other,True,False,True,True +60e51a58-1cb4-4c5b-9bcd-df8dd77a9b34,qzhou48@gmail.com,Qiang,ZHOU,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Junior ETL Developer,,6479836607,,,,https://www.linkedin.com/in/qiangzhouuwo/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/60e51a58-1cb4-4c5b-9bcd-df8dd77a9b34/resume,Toronto,Ontario,,Canada,,2020-10-16T00:04:43.464Z,2020-10-16T00:04:43.489Z,False,False,Recognized Masters Program,Yes,Other/Unsure,ON,Already Graduated,,Mr.,https://www.linkedin.com/in/qiangzhouuwo/,,Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Software, Technology (Product Development)","Full Time, Contract",,Western University,True,False,True,True +c0720ced-bf88-40cf-9921-b5fdd8442924,peggy.mcbean@me.com,Peggy,McBean,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,"P.Eng, Experienced Manager",,416-617-1853,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c0720ced-bf88-40cf-9921-b5fdd8442924/resume,Toronto,Ontario,,Canada,,2020-10-29T02:42:14.357Z,2020-11-03T12:58:48.310Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Ms.,https://www.linkedin.com/in/peggymcbean/,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Management Analytics,"Construction or Infrastructure, Education, Manufacturing , Professional Services (e.g Consulting)","Full Time, Contract",,Queen's University,True,True,True,True +034efa4b-491c-459a-a69b-5f61c394f395,nezil.gopinadh@gmail.com,Nezil,Gopinadh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,ERP Project Manager,,,,,,https://linkedin.com/in/nezilgopinadh,,True,False,,Toronto,Ontario,,Canada,,2020-10-23T13:26:43.000Z,2020-10-24T04:26:46.284Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2021,,Mr.,https://linkedin.com/in/nezilgopinadh,,Undergraduate Degree (Bachelors),Senior Level (5+ Years),AI,"Financial Services, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development)",Capstone Project,,Queen's University,True,True,True,True +a18cdd48-925e-4f61-a186-f91b65061e66,ajmerin@uwindsor.ca,Namrata,Ajmeri,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Software engineer,2.5 years of Software development experience.,,,,,,,True,False,,Windsor,Ontario,,Canada,,2020-10-30T15:30:40.496Z,2020-10-30T16:10:14.821Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/namrata-ajmeri/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master in Applied Computing,"Software, Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,,University of Windsor,True,True,True,True +c9637c83-b4bd-42fc-9eee-131acee4282a,areej.saafin@gmail.com,Areej,Alsaafin,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-10-23T13:10:34.790Z,2020-10-27T22:23:41.213Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,,Fall 2024 (August - November),,Miss.,https://www.linkedin.com/in/areej-alsaafin-9b8043a6/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),PhD in Systems Design Engineering,Type of Work is More Important to me than Sector,"Full Time, Internship, Contract",,University of Waterloo,True,True,True,True +dce21e9f-8ea0-450f-9eed-a0f9b3625b31,alex.salgo@live.ca,Alexander,Salgo,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/alexander-salgo/,,True,False,,,Ontario,,Canada,,2020-10-30T15:30:43.062Z,2020-11-04T17:19:11.333Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2021,,Mr.,https://www.linkedin.com/in/alexander-salgo/,,Graduate Degree (Masters),Entry Level (0-2 Years),Computing,Type of Work is More Important to me than Sector,"Full Time, Contract",,Queen's University,True,True,True,True +e64815bc-00a0-440b-b2d5-6c9f3a05e73d,ya.yoona.park@gmail.com,Yoona,Park,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-09-24T20:12:53.946Z,2020-09-30T03:10:42.368Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/yoona-park-7661b2132/,,Graduate Degree (Masters),Entry Level (0-2 Years),NLP/Machine Learning/Deep Learning,"Health, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract",,University of Toronto,True,True,True,True +06e4dfde-01b6-4356-b86d-8a28c793081f,sgdantas1@gmail.com,Stefano,Giacomazzi Dantas,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-09-17T01:19:28.756Z,2020-09-17T01:19:28.806Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,QC,Already Graduated,,Mr.,https://www.linkedin.com/in/stefano-dantas/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Electrical and Computer engineering,"Financial Services, Professional Services (e.g Consulting), Technology (Information and Media), Telecommunications, Type of Work is More Important to me than Sector",Full Time,,Other,True,False,True,True 8e531f80-5687-4d0e-97ec-ca29a0ea1b5f,gupta13u@uwindsor.ca,Agreta,Gupta,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,2269614679,,,,https://www.linkedin.com/in/agretaguptapmp,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8e531f80-5687-4d0e-97ec-ca29a0ea1b5f/resume,,,,,,2020-09-17T16:54:32.104Z,2020-09-17T19:25:55.310Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mrs.,https://www.linkedin.com/in/agretaguptapmp,,Graduate Degree (Masters),Senior Level (5+ Years),Master of applied computing,,"Full Time, Internship, Co-op",,University of Windsor,True,True,True,True ac597a25-73e8-4c9d-befb-55d4ee21a54d,sargon.morad@hotmail.com,Sargon,Morad,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6472935350,,,,https://www.linkedin.com/in/sargonmorad/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ac597a25-73e8-4c9d-befb-55d4ee21a54d/resume,,,,,,2020-09-17T16:54:32.840Z,2020-10-27T18:40:56.436Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/sargonmorad/,,Graduate Degree (Masters),Senior Level (5+ Years),Masters of Management Analytics and Masters of Management Artificial Intelligence,,Full Time,,Queen's University,True,True,True,True -d00cb420-3059-425e-abb5-f07c6adb92a2,mahdieh.abbasi.1@ulaval.ca,Mahdieh,Abbasi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,https://mahdaneh.github.io/,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d00cb420-3059-425e-abb5-f07c6adb92a2/resume,,,,,,2020-09-15T19:39:42.822Z,2020-09-15T19:39:42.845Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Post Graduate Affiliate,,Already Graduated,Graduate student at Université Laval,Mrs.,https://www.linkedin.com/in/mahdieh-abbasi-2ba84b44/?originalSubdomain=ca,,Postgraduate Degree (PhD),Senior Level (5+ Years),Electrical and Computer Engineering,"Health, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Contract",,Other,True,True,True,True 5b9f36db-5fb5-4877-b2a0-d92a0e5d601a,s2sakhuj@uwaterloo.ca,Shikhar,Sakhuja,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://linkedin.com/in/shikhar394,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5b9f36db-5fb5-4877-b2a0-d92a0e5d601a/resume,,,,,,2020-09-12T23:47:49.504Z,2020-09-12T23:47:49.531Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/shikhar394/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Mathematics,"Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship",,University of Waterloo,True,True,True,True -22dbcce6-4d8c-4bf9-818e-8354997142ad,austin_chen@foxmail.com,Austin,Chen,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-09-20T15:55:42.464Z,2020-09-20T15:55:42.489Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/austinchencym/,,Graduate Degree (Masters),Mid-Level (3-5 Years),MEng in Information Engineering,"Retail, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Contract",,University of Toronto,True,True,True,True -e0e0299b-c067-4814-9b3a-a367120de65d,adaobia.obi@gmail.com,Adaobi,Obi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Experienced manager with 5+ years experience in financial services industry and a strong interest in analytics.,,6476715774,,,,https://www.linkedin.com/in/adaobi-obi-64bb3b65/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e0e0299b-c067-4814-9b3a-a367120de65d/resume,,Ontario,,Canada,,2022-09-12T22:10:18.256Z,2022-09-14T00:19:02.723Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2024 (April - July),,Miss.,https://www.linkedin.com/in/adaobi-obi-64bb3b65/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Business Analytics and AI,"Construction or Infrastructure, Education, Financial Services, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Product/Project Manager, Other ",OntarioTech University,True,True,True,True -e3ab1fa2-eb70-4489-ae50-42b7b719cf51,jing.zhang21@imperial.ac.uk,Jing,Zhang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e3ab1fa2-eb70-4489-ae50-42b7b719cf51/resume,,,,,,2022-08-08T21:14:38.516Z,2022-08-08T21:14:38.560Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Fall 2022 (August - November),No,Ms.,https://www.linkedin.com/in/jingzhang33/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Mathematics and Finance,"Financial Services, Health, Technology (Information and Media)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Other,True,False,True,True -efbb2395-4647-4d85-a99c-cee672c813c8,manogna.sunkara@gmail.com,Manogna,Sunkara,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-02-10T15:42:43.292Z,2022-08-24T16:44:00.228Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/manogna-sunkara-3a706881/,,,,,,,,,True,,True,True -89326e28-64cb-4bbe-9d7a-6c1fec5cb59a,andrew.rambidis@uwaterloo.ca,Andrew,Rambidis,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Graduate researcher,First year masters student under Prof. Vavasis at the University of Waterloo with a strong interest in R&D for data science and machine learning. My primary research focuses on mathematical optimization applied to machine learning. ,5149695546,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/89326e28-64cb-4bbe-9d7a-6c1fec5cb59a/resume,Waterloo,Ontario,,Canada,,2021-11-25T16:26:05.358Z,2022-08-29T17:09:15.835Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/andrew-rambidis/,"Machine learning, Optimization, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),"MMath, Data Science",Type of Work is More Important to me than Sector,Internship,"Data Scientist, Machine Learning Researcher/Scientist ",University of Waterloo,True,False,True,True -53953e0e-188c-4582-9b7f-7d2ed4dcb354,akash.haridas@gmail.com,Akash,Haridas,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/akasharidas/,,True,False,,Toronto,Ontario,,Canada,,2022-07-29T04:38:23.588Z,2022-07-29T04:38:23.806Z,False,False,Vector Scholarship Recipient,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/akasharidas/,"Generative modeling, Healthcare and/or medical imaging, Physics",Graduate Degree (Masters),Entry Level (0-2 Years),Applied Computing,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True -1986a61a-f638-446a-bc02-484c70da2b71,adheeshenoy@gmail.com,Adheesh,Shenoy,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-06-22T11:17:12.610Z,2022-06-22T11:17:12.653Z,False,False,Vector Scholarship Recipient,Yes,Other/Unsure,,Spring/Summer 2023 (April - July),Received Email,Mr.,https://www.linkedin.com/in/adheeshenoy/,"Deep learning, Reinforcement learning, Robotics",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Engineering in Electrical Engineering and Computer Science,,Full Time,"Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Other,True,True,True,True -1871f209-866b-474b-b1ff-570a5ebef3c4,21rq5@queensu.ca,Nicholas,Qin,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-07-06T19:05:36.541Z,2022-07-06T19:05:36.590Z,False,False,Recognized Masters Program,Yes,Post Graduate Affiliate,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/nicholasqin/,"Data science, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Financial Innovation & Technology,"Financial Services, Professional Services (e.g Consulting)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst",Queen's University,True,False,True,True -a22f0ab5-d658-4461-9aa5-cfff798f83e8,mdargah@uwo.ca,Mojtaba,Dargahi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/mojtaba-dargahi-ph-d-4a622847/,,True,False,,,,,,,2021-02-10T15:42:39.337Z,2022-08-29T17:06:09.730Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/mojtaba-dargahi-ph-d-4a622847/,,,,,,,,,True,True,True,True -3a60f0d7-cd4e-488a-b8b9-6d19f3569ac7,salman.ghaffar@ryerson.ca,Salman,Ghaffar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-10-30T15:30:41.692Z,2022-08-25T18:35:30.583Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/salmanghaffar15/,,,,,,,,,True,True,True,True -8ef2c324-bcba-49a5-8452-1a781f5edb48,nishkrit@ndes.ai,Nishkrit,Desai,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Deep Learning Research Engineer,,4379926330,,https://ndes.ai,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8ef2c324-bcba-49a5-8452-1a781f5edb48/resume,Toronto,Ontario,,Canada,,2021-03-12T20:13:23.693Z,2022-08-16T16:03:55.137Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Animesh Garg,Spring/Summer 2023 (April - July),,Mr.,N/A,"Computer vision, Deep learning, Generative modeling, Graphical models, Machine learning, Optimization, Reinforcement learning, Representation learning, Robotics, Self-supervised learning, Unsupervised learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Engineering Science (Major in Machine Intelligence),"Education, Software, Technology (Product Development), Type of Work is More Important to me than Sector",Internship,"Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,False,True,True -6c52b6a1-0182-40a7-9f3a-4374f29e6f00,vaidehiatodaria@yahoo.com,vaidehi,atodaria,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-09T12:59:58.613Z,2022-09-09T14:55:10.379Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mrs.,https://www.linkedin.com/in/vaidehi-atodaria-55638222b/,"Data science, Deep learning, Healthcare and/or medical imaging",Graduate Degree (Masters),Entry Level (0-2 Years),Masters of data science and analytics,"Financial Services, Health, Public Administration (i.e Gov't), Technology (Information and Media)",Full Time,"Data Analyst, Data Engineer, Data Scientist, Machine Learning Researcher/Scientist ",Ryerson University,True,False,True,True -a41b83ac-cef2-4ec4-8e9f-e9bfbcbebb80,21jc69@queensu.ca,Rachel,Chen,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Scientist,I am a passionate Data Scientist with an educational and professional background in applied statistics and analytics. I am dedicated to discovering insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals.,4169754579,,https://github.com/rachel-jfc,,https://www.linkedin.com/in/rachelchenjf,,True,False,,,,,,,2022-09-20T15:13:46.668Z,2022-09-21T22:33:24.870Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Miss.,https://www.linkedin.com/in/rachelchenjf/,"Data science, Machine learning, Recommender systems",Graduate Degree (Masters),Mid-Level (3-5 Years),"Master of Management Analytics,","Retail, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op","Data Analyst, Data Scientist",Queen's University,True,False,True,True -3431e5a0-3adc-4515-88d5-e0844d9efc80,visaam.khan@rotman.utoronto.ca,Visaam,Khan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/visaamfaisal,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3431e5a0-3adc-4515-88d5-e0844d9efc80/resume,Toronto,Ontario,,Canada,,2022-09-20T15:13:28.321Z,2022-09-22T01:46:36.596Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mr.,www.linkedin.com/in/visaamfaisal,"Game theory, Graphical models, Recommender systems",Graduate Degree (Masters),Entry Level (0-2 Years),Masters in Management Analytics,"Health, Professional Services (e.g Consulting), Retail, Technology (Product Development)","Full Time, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Product/Project Manager",University of Toronto,True,False,True,True -12793a1e-2bae-4658-bc6e-1c2533d43844,jasper.gao@rotman.utoronto.ca,Jasper,Gao,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-09T13:00:03.809Z,2022-09-21T18:49:47.336Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/jasper-gao/,,,,,,,,,True,True,True,True -1d2a379a-4e64-49b0-9c1c-917083f1f0f5,bbora017@uottawa.ca,Beril,Borali,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data analyst and AI Masters student ,I have a strong interest in searching for more creative and effective ways of using data.,8193180481,,,,https://www.linkedin.com/in/berilborali,,True,False,,Ottawa,Ontario,,Canada,,2022-09-21T20:23:18.412Z,2022-09-22T13:24:26.793Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2024 (April - July),,Miss.,www.linkedin.com/in/berilborali,"Adversarial learning, Bioinformatics, Computational biology, Data science, Deep learning, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Computer Science with concentration in Applied Artificial Intelligence,"Education, Health, Public Administration (i.e Gov't), Type of Work is More Important to me than Sector","Internship, Co-op","Data Analyst, Data Scientist, Machine Learning Researcher/Scientist ",University of Ottawa,True,True,True,True -b2288ff8-a7db-419c-82b7-4c12cde4aa80,dhrumel.shah@queensu.ca,dhrumel,shah,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Scientist,"I solve large-scale Analytics use cases and influence business strategy using Artificial Intelligence. -I've worked with Data Science teams at Deloitte-USI and DXC Technology, developing Machine Learning, Deep Learning and Forecasting solutions for clients in the US, Belgium and Brazil. I have experience across the CPG, Retail, Telecom, IT and Logistics industries. I enjoy managing projects and building client relationships. ",6478527079,,,,https://www.linkedin.com/in/dhrumelshah/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b2288ff8-a7db-419c-82b7-4c12cde4aa80/resume,Toronto,Ontario,,Canada,,2021-11-09T21:33:08.954Z,2022-06-28T04:50:10.078Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/dhrumelshah/,"Data science, Deep learning, Machine learning, Natural language processing, Time-series forecasting and modelling",Graduate Degree (Masters),Mid-Level (3-5 Years),Artificial Intelligence,"Financial Services, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Telecommunications, Type of Work is More Important to me than Sector",Full Time,Data Scientist,Queen's University,True,True,True,True -91d51edf-cf3e-4d33-a1a3-b0578c0eafcc,nitin.gupta@mail.utoronto.ca,Nitin,Gupta,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,"Analytics & Strategy | MMA'23 at Rotman, UofT | Ex- United Airlines","Business Analyst with 3+ years of analytical experience across a broad range of domains in Customer and Operations Analysis, Network Planning, and Airport Operations. Recognized for effective stakeholder management, Insight generation, project leading, problem solving over large data sets using various analytics solutions and tools.",+1 647 671 8041,,,,,,True,False,,Toronto,Ontario,,Canada,,2022-08-25T22:45:46.512Z,2022-08-26T16:22:13.616Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,N/A,"Data science, Machine learning, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management Analytics,"Financial Services, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Product/Project Manager",University of Toronto,True,True,True,True -a31c7c06-9bcf-4a48-9478-05dd02a52555,fe.entezari@gmail.com,Farzaneh,Entezari,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-12-22T19:55:56.809Z,2022-09-20T01:36:42.364Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/farzaneh-entezari/,,,,,,,,,True,False,True,True -5c7c11f6-ef96-4c26-98cc-311a367ca353,carol.hou@rotman.utoronto.ca,Carol,Hou,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-09T12:59:58.815Z,2022-09-13T02:23:59.147Z,False,False,Recognized Masters Program,Yes,,,,,,N/A,,,,,,,,,True,False,True,True -f3fe3693-973a-420c-a66b-c98ca3a92066,fcombert@uoguelph.ca,Francis,Combert,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-21T20:23:22.162Z,2022-09-22T02:07:28.239Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/francis-kwaku-combert-47b277115/,,,,,,,,,True,True,True,True -b8c383f7-4701-4e9a-bc0e-63740e07663e,taozeyu04@gmail.com,Zeyu,Tao,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-09T12:59:59.101Z,2022-09-10T01:31:00.210Z,False,False,Recognized Masters Program,Yes,,,,,,N/A,,,,,,,,,True,False,True,True -bb1eee1c-67da-46c8-88a1-5ac4fa2ce663,ritik.raj@ryerson.ca,Ritik,Raj,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Experienced Business Analyst,"Long Recipe Short, - -1. THE STARTERS I SERVE: Data Visualization, SQL, Talend (ETL), Microsoft Excel, Python NumPy & Pandas, Microsoft PowerPoint, Statistics and Sampling - -2. MAIN COURSE I AM EXPERIENCED WITH: Data Management, Trend Exploration with the icing of Creative Testing and Analysis. Other specialties include optimizing models on a client by client basis and engaging directly with the client to understand marketing objectives to alter program execution. - -3. SO, WHAT'S IN FOR DESSERTS: An Excellent communicator with a highly organized, a result oriented approach and, well tenacious. That’s it, enough on the plate. - -And if you like this 3-course meal, Let’s connect!",6476715579,,,,https://www.linkedin.com/in/ritik-raj-421865114/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/bb1eee1c-67da-46c8-88a1-5ac4fa2ce663/resume,Toronto,Ontario,,Canada,,2022-09-21T23:59:51.512Z,2022-09-23T01:20:21.657Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/ritik-raj-421865114/,"Data science, Healthcare and/or medical imaging, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Data Science and Analytics,"Health, Professional Services (e.g Consulting), Technology (Information and Media)","Internship, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Other ",Ryerson University,True,True,True,True -91687482-8a7c-42eb-994b-97effa176534,philipyizhou.huang@mail.utoronto.ca,Philip,Huang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Robotics and Machine Learning Researcher,"I am a second-year MSc student in Computer Science at the University of Toronto and a member of the Robot Vision and Learning (RVL) lab. I'm co-supervised by Prof. Florian Shkurti and Prof. Tim Barfoot. My research is generously funded by the CGS-M Scholarships and the Vector Scholarship in AI. - -The goal of my research is to improve robot's ability to model uncertain environments and make plans for complex and long-horizon tasks. Towards this end, I am currently working on planning algorithms for autonomous surface vessel (ASV) in Canadian lakes. Before that, I have also also explored continual learning in learning dynamics model for control. - -I have also been fortunate to work under many fantastic researchers in robotics. Previously, I collabrated with Prof. Fabio Ramos from Nvidia and on task and motion planning. In undergrad, I was involved in the student design team aUToronto, where we competed and won the SAE Autodrive Challenge. I also spent one amazing summer in Israel with Prof. Amir Degani and the summer before that with Prof. Angela Schoellig.",,,https://philip-huang.github.io/,,https://www.linkedin.com/in/philip-yizhou-huang/,,True,False,,Toronto,Ontario,,Canada,,2022-08-31T17:18:16.596Z,2022-09-23T14:48:19.422Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/philip-yizhou-huang/,"Computer vision, Reinforcement learning, Robotics",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,"Manufacturing , Technology (Product Development), Transportation","Full Time, Internship","Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True -e1d9a06e-69f7-4adb-a8a1-69d494cc774b,emailrohanjain@gmail.com,Rohan,Jain,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Machine Learning Researcher,,6136190464,,,,https://www.linkedin.com/in/rohanjain16/,JainRohan16,True,False,https://canadaai.jobboard.io/api/v1/profiles/e1d9a06e-69f7-4adb-a8a1-69d494cc774b/resume,Toronto,Ontario,,Canada,,2022-08-19T02:58:40.673Z,2022-08-19T02:58:40.716Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,"Kenyon Tsai, George Alexandru Adam",Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/rohanjain16/,"Adversarial learning, Computer vision, Deep learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Mathematics & Computer Science,"Health, Software, Technology (Information and Media), Transportation","Internship, Co-op, Contract","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +076ee8e5-2622-484d-8db6-686d8ce6cbe6,yimingq@yorku.ca,Yiming,Qian,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/076ee8e5-2622-484d-8db6-686d8ce6cbe6/resume,,,,,,2020-10-23T13:10:36.130Z,2021-09-26T13:14:40.143Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,,Already Graduated,,Dr.,https://www.linkedin.com/in/yimingqian/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Science,Type of Work is More Important to me than Sector,Full Time,,York University,True,False,True,True +34f6dae9-4456-4087-818d-30cb2ecc9b7e,nazias0913@gmail.com,Nazia,Siddiqui,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-10-23T13:26:47.798Z,2020-10-23T13:45:19.701Z,False,False,Vector Scholarship Recipient,Yes,,,,,,https://www.linkedin.com/in/nazia-siddiqui-074b18124/,,,,,,,,,True,True,True,True +2f9eedc0-c3cd-4771-8462-701097deb19c,bliu920@schulich.yorku.ca,Ben,Liu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-09-24T20:12:54.713Z,2020-10-25T17:53:20.145Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/ben-liu-0783571b4/,,,,,,,,,True,False,True,True +8e73ac0e-fbea-443f-89f0-f96f3ac1c335,sudhandar@gmail.com,Sudhandar,Balakrishnan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Actively looking for full time opportunities in the field of data science,"Passionate data science professional with 2+ years of professional experience in using natural language processing, machine learning and data visualization to solve challenging business problems in an agile environment and 1 year of experience in solving research-based problems in an academic setting. A highly motivated individual who thrives in a fast-paced, collaborative environment.",3439894743,,https://github.com/Sudhandar,,https://www.linkedin.com/in/sudhandar/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8e73ac0e-fbea-443f-89f0-f96f3ac1c335/resume,Toronto,Ontario,,Canada,,2021-12-22T19:56:09.008Z,2022-10-22T21:51:23.268Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Dr. Xiaodan Zhu,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/sudhandar,"Deep learning, Natural language processing, Transfer learning",Graduate Degree (Masters),Entry Level (0-2 Years),Masters in Electrical and Computer Engineering,"Construction or Infrastructure, Financial Services, Software, Technology (Information and Media), Technology (Product Development), Transportation",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Software Engineer",Queen's University,True,True,True,True +6c8b77b0-df53-4439-811d-7af790db9327,a.menchetti8@gmail.com,Alessandro,Menchetti,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Smith Masters in Financial Innovation and Technology Candidate | BA.Sc (Computer Engineering Major) Queen's University Graduate,,6479834567,,,,https://www.linkedin.com/in/alessandro-menchetti/,,True,False,,Toronto,Ontario,,Canada,,2022-07-07T20:55:51.700Z,2022-11-22T17:10:18.453Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/alessandro-menchetti/,"Computer vision, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Financial Innovation and Technology,"Financial Services, Software, Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Data Engineer, Data Scientist, Machine Learning Engineer, Software Engineer",Queen's University,True,True,True,True +da4efda6-f614-4caf-9cee-710e71d1da7b,22xn6@queensu.ca,Maha,Qamar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-11-23T21:25:18.045Z,2022-11-23T21:25:18.083Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Ms.,https://www.linkedin.com/in/maha-qamar-236543b0/,"AI safety, Machine learning, Privacy, anonymity, and/or security, Statistical learning theory",Graduate Degree (Masters),Mid-Level (3-5 Years),MFIT,"Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Type of Work is More Important to me than Sector","Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Product/Project Manager, Other ",Queen's University,True,False,True,True +5c2417d5-4c8a-4e22-a8bd-3e8b621ce52a,shansong.huang@ryerson.ca,Sam,Huang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6478391188,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5c2417d5-4c8a-4e22-a8bd-3e8b621ce52a/resume,Markham,Ontario,,Canada,,2022-11-09T22:13:23.505Z,2022-11-15T20:41:22.167Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/shansong-huang/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Data Science,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Full Time, Internship, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Ryerson University,True,True,True,True +cba28aae-5e3c-4c9b-8291-7da3d80be354,mozhan.saeidi@gmail.com,Mozhgan,Saeidi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,"Mozhgan is a PhD Candidate in Computer Science, and a Machine Learning scientist intern at the Vector Institute. Her main interest lies at the intersection of graph theory and machine learning, including combinatorics, NLP, and biological physics. Mozhgan is currently in the team of organizing and teaching the AI for Clinician course at the university of Toronto and the University Health Network (UHN).",6476551215,,,,https://linkedin.com/in/mojgansaeidi,mojgansaeidi,True,False,https://canadaai.jobboard.io/api/v1/profiles/cba28aae-5e3c-4c9b-8291-7da3d80be354/resume,Toronto,Ontario,,Canada,,2022-05-31T12:07:06.565Z,2022-11-18T01:00:16.626Z,False,False,Internal Staff,Yes,Post Graduate Affiliate,,Fall 2022 (August - November),,Ms.,https://linkedin.com/in/mojgansaeidi,,Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Science,"Education, Health","Full Time, Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Architect, Data Scientist, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +25670423-4336-4da5-b5e0-942203f5f3f3,asarebernard98@gmail.com,Bernard,Asare,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Master's Research Student,,(343) 597-4576,,,,https://www.linkedin.com/in/bernard-asare-1419171a9/,,True,True,https://canadaai.jobboard.io/api/v1/profiles/25670423-4336-4da5-b5e0-942203f5f3f3/resume,Ottawa,Ontario,,Canada,,2022-08-31T17:18:18.049Z,2022-09-12T09:59:20.401Z,False,False,Vector Scholarship Recipient,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2024 (August - November),,Mr.,N/A,"Anomaly detection, Data science, Deep learning, Machine learning, Neuroscience, Online learning, Privacy, anonymity, and/or security",Graduate Degree (Masters),Entry Level (0-2 Years),Applied Artificial Intelligence,"Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Telecommunications","Full Time, Internship, Contract","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Ottawa,True,True,True,True +9a916530-4ed7-4016-a8d7-bae046a16a5d,sattarzadehsam@gmail.com,Sam,Sattarzadeh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9a916530-4ed7-4016-a8d7-bae046a16a5d/resume,,,,,,2021-05-28T02:27:37.367Z,2022-10-12T16:13:10.219Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/sam-sattarzadeh-43518a198/,"Computer vision, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Electrical and Computer Engineering,Type of Work is More Important to me than Sector,"Internship, Co-op","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +e3ced230-ad55-4823-b31f-3d902930de49,aindba@outlook.com,Ain,Li,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-05-12T14:22:37.354Z,2022-09-04T06:23:25.638Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/ainli/,,,,,,,,,True,True,True,True eca8cb16-1971-4a7c-89fe-770db85306a1,anthonyfuller@cmail.carleton.ca,Anthony,Fuller,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-29T20:32:16.710Z,2022-09-29T20:32:16.746Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/anthony-fuller-30027389/,"Computer vision, Deep learning, Self-supervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),M.A.Sc. in Elec and Comp Engineering,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op",Machine Learning Researcher/Scientist ,Carleton University,True,True,True,True -78d10b26-9fc5-4484-87f9-27994edc7c8e,divya.jain@queensu.ca,Divya,Jain,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-09-19T20:17:58.457Z,2022-08-31T17:29:41.046Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mrs.,N/A,"Machine learning, Recommender systems, Reinforcement learning",Graduate Degree (Masters),Mid-Level (3-5 Years),MMA,Type of Work is More Important to me than Sector,"Full Time, Capstone Project","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,False,True,True -b901ac19-5d73-4788-bdf9-44479d107f99,cecilia930426@gmail.com,Yaoxin,Li,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-09-19T20:17:51.729Z,2022-08-30T19:36:44.209Z,False,False,Connected to Vector Research,Yes,,,,,,N/A,,,,,,,,,True,True,True,True -fa6dbd3b-4174-4a8d-b383-6c4c4de9ad20,aanugu@uwaterloo.ca,Ankitha,Anugu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,Experienced Application Administrator with 4+ years of industry experience in Application Operations and specialization in the domains of Identity & Access Management (IAM) and Middleware Services,5197295491,,,,https://www.linkedin.com/in/ankitha-anugu-421b38169/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/fa6dbd3b-4174-4a8d-b383-6c4c4de9ad20/resume,Mississauga,Ontario,,Canada,,2022-09-21T20:23:23.910Z,2022-09-22T02:44:08.678Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Ms.,https://www.linkedin.com/in/ankitha-anugu-421b38169/,"Anomaly detection, Privacy, anonymity, and/or security, Time-series forecasting and modelling",Graduate Degree (Masters),Mid-Level (3-5 Years),Data Science and AI,"Financial Services, Public Administration (i.e Gov't), Software, Technology (Product Development)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Software Engineer",University of Waterloo,True,True,True,True -d3339a99-a9c3-4f6b-98e5-982e79aef0fc,mirandaellis1@hotmail.com,Miranda,Ellis,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-19T13:22:23.085Z,2022-09-19T13:22:23.126Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mrs.,https://www.linkedin.com/in/mirandaellis/,"Graphical models, Natural language processing, Self-supervised learning",Graduate Degree (Masters),Senior Level (5+ Years),Master of Management in Artificial Intelligence,"Education, Financial Services, Manufacturing , Professional Services (e.g Consulting), Software, Technology (Product Development)",Full Time,Product/Project Manager,Queen's University,True,True,True,True -35c5bf34-00f8-4540-b4ba-336253832127,wenhanxu@yorku.ca,Wenhan,Xu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-15T00:11:37.674Z,2022-09-15T00:11:37.729Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/wenhan-xu/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management in Artificial Intelligence,"Financial Services, Professional Services (e.g Consulting), Technology (Information and Media), Telecommunications","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist",York University,True,True,True,True -281aed91-4ad0-4cae-a56c-a342f342fd2c,b.m.taha93@gmail.com,Bilal,Taha,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-03-28T16:39:07.268Z,2022-08-31T16:26:34.419Z,False,False,Connected to Vector Research,Yes,Post Graduate Affiliate,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/bilal-taha-7a6521ba/,"Computer vision, Healthcare and/or medical imaging, Time-series forecasting and modelling",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Electrical and Computer Engineering,"Education, Health, Professional Services (e.g Consulting), Software, Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship","Data Scientist, Machine Learning Researcher/Scientist , Other ",University of Toronto,True,True,True,True -85586db5-2c7d-4f91-a5f6-033fefb5ddf6,andrei.muresanu@uwaterloo.ca,Andrei,Muresanu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-08-31T17:18:19.106Z,2022-09-02T19:46:16.558Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/andreimuresanu/,,,,,,,,,True,True,True,True e691af11-1804-4d05-8e29-770d57ebb5be,obi.chuka@yahoo.com,Chukwuka,Obi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2022-09-25T04:36:02.158Z,2022-09-25T04:36:02.182Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,True,True,True -63f36731-3be0-4c4b-b37d-48c6f1ef6432,caules.ge@mail.utoronto.ca,Hongshou,Ge,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6476575176,,https://github.com/CaulesGe,,,,True,False,,Toronto,Ontario,,Canada,linkedin,2022-05-07T03:05:07.429Z,2022-05-07T03:05:07.451Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Winter 2024 (December 2023 - March 2024),idk,Mr.,https://www.linkedin.com/in/hongshouge/,"Game theory, Wearable technology and/or Internet of Things",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science,Software,"Internship, Co-op",Software Engineer,University of Toronto,True,False,True,True -7a538e9e-661e-409a-98f0-2a07458cedfb,lhm.soleimani@gmail.com,Elham,Soleimani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-05-12T14:22:40.960Z,2022-06-02T20:20:01.258Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2024 (August - November),,Mrs.,https://www.linkedin.com/in/elham-s-40198273/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Science,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Capstone Project","Data Analyst, Data Scientist",University of Guelph,True,True,True,True -46194bf8-76c2-4fad-af82-6b8eea5209d5,ahmedsomaan7@gmail.com,Ahmed,Somaan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Student,,647-883-9257,,,,https://www.linkedin.com/in/ahmed-somaan-276ab6197/,,True,False,,Toronto,Ontario,,Canada,linkedin,2020-01-09T19:59:57.525Z,2020-01-09T19:59:57.541Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Other/Undetermined,Applying For Coop,Mr.,https://www.linkedin.com/in/ahmed-somaan-276ab6197/,,Undergraduate Degree (Bachelors),,computer engineering,"Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Internship, Co-op",,University of Waterloo,True,False,True,True -c25d1838-ec62-4c55-88a8-1d4d37272ce1,ama@cs.toronto.edu,Avery,Ma,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,Grad student at UofT/Vector,,,http://averyma.com,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c25d1838-ec62-4c55-88a8-1d4d37272ce1/resume,Toronto,Ontario,,Canada,,2020-03-10T22:22:47.805Z,2020-10-21T18:42:43.064Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Amir-massoud Farahmand and Rich Zemel,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/avery-ma-326522158/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),2,Type of Work is More Important to me than Sector,Internship,,University of Toronto,True,True,True,True -f2c739f8-9a85-4688-b783-8d8ca846f6a6,essatahir3@gmail.com,essa,tahir,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f2c739f8-9a85-4688-b783-8d8ca846f6a6/resume,,,,,,2020-01-07T17:52:30.818Z,2020-01-07T17:52:30.846Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Fall 2021,,Mr.,https://www.linkedin.com/in/essa-tahir/,,College Diploma,,computer system technology,"Software, Technology (Information and Media), Technology (Product Development)",Co-op,,Other,True,True,True,True -5f0f8e74-04d3-4df3-9764-45e62e4e4b83,tong.su@mail.utoronto.ca,Tong,Su,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,4376843329,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5f0f8e74-04d3-4df3-9764-45e62e4e4b83/resume,Toronto,Ontario,,Canada,,2022-03-04T19:57:45.184Z,2022-03-04T19:57:45.211Z,False,False,Not Affiliated with Vector,No,Other/Unsure,Ontario,Spring/Summer 2024 (April - July),,Ms.,N/A,"Data science, Deep learning, Machine learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science,"Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Internship, Co-op, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True -0e9e8371-0f98-42b1-8f1d-90286864ff4c,havaledar@gmail.com,Mohammad,Havaledar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-05-25T07:43:32.636Z,2022-05-25T07:43:32.714Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,N/A,"AI safety, Anomaly detection, Bayesian methods, Bioinformatics, Computer vision, Data science, Deep learning, Game theory, Healthcare and/or medical imaging, Law, ethics and policy, Machine learning, Natural language processing, Online learning, Recommender systems, Reinforcement learning, Self-supervised learning, Statistical learning theory, Time-series forecasting and modelling, Unsupervised learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Data Science,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",University of Guelph,True,False,True,True -1d92d42f-6218-4445-adbf-482372c7e1a1,adam.gronowski@queensu.ca,Adam,Gronowski,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-08-13T19:40:24.025Z,2022-05-16T17:24:29.673Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/adamgronowski/,"AI safety, Deep learning, Healthcare and/or medical imaging",Graduate Degree (Masters),Entry Level (0-2 Years),Machine Learning,Type of Work is More Important to me than Sector,"Full Time, Internship","Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True -6e17590b-e673-40d6-96d3-34539a717ab7,atul.grover@mail.utoronto.ca,Atul ,Grover,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6475684395,,,,https://www.linkedin.com/in/atul-grover-115404113/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6e17590b-e673-40d6-96d3-34539a717ab7/resume,Toronto,Ontario,,Canada,,2020-01-10T14:40:29.627Z,2020-03-03T19:32:18.118Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,,Already Graduated,,Mr.,https://www.linkedin.com/in/atul-grover-115404113/,,Graduate Degree (Masters),,Master of Engineering,Type of Work is More Important to me than Sector,Full Time,,University of Toronto,True,True,True,True -29a37cb5-0ec5-4f13-a2af-533ee10c3015,m.malik@queensu.ca,MohammedTufail,Malik,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/tufail-malik/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/29a37cb5-0ec5-4f13-a2af-533ee10c3015/resume,,,,,,2021-12-22T19:56:12.183Z,2022-01-14T16:11:09.028Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/tufail-malik/,"Computer vision, Deep learning, Robotics, Transfer learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Engineering,"Manufacturing , Professional Services (e.g Consulting), Retail, Technology (Information and Media), Technology (Product Development), Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract","Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",Queen's University,True,True,True,True -1e8b7f7d-c596-475c-8dcc-6c335db686fc,jsnell@cs.toronto.edu,Jake,Snell,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,http://jakesnell.com,,,,True,False,,,,,,,2020-02-26T17:35:03.678Z,2020-02-26T22:37:57.370Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Richard Zemel,Already Graduated,,Mr.,Not Found,"Bayesian methods, Deep learning, Few-shot learning, Gaussian processes, Meta-learning, Transfer learning",Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Science,"Education, Health, Professional Services (e.g Consulting), Software, Telecommunications, Type of Work is More Important to me than Sector",Contract,Machine Learning Researcher/Scientist ,University of Toronto,True,True,True,True -be203f68-907f-4282-a33f-4def84e976bb,r6ou@edu.uwaterloo.ca,Racheal,Ou,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Candidate for Bachelor in Computer Science and Business Administration,Innovative student seeking internships!,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/be203f68-907f-4282-a33f-4def84e976bb/resume,,,,,,2020-03-04T07:25:16.712Z,2020-03-04T07:25:16.736Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Other/Undetermined,No Association,Miss.,https://www.linkedin.com/in/racheal-ou/,,Undergraduate Degree (Bachelors),,Double Degree Computer Science and Business Administration,"Education, Financial Services, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Internship, Co-op",,University of Waterloo,True,True,True,True -4ce294b4-7d7c-4bc9-a56c-d02d78f2d4fb,katradiya@gmail.com,Diya,Katra,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2020-01-22T00:39:38.691Z,2020-01-22T00:39:38.708Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/diya-katra/,,Undergraduate Degree (Bachelors),,,,,,,True,False,True,True -de9ec581-9595-45bb-89b8-73a449753544,strongsimonj@gmail.com,Simon,Strong,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/de9ec581-9595-45bb-89b8-73a449753544/resume,,,,,,2020-02-09T03:16:19.317Z,2020-03-14T00:43:19.690Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/simon-strong-/,,Graduate Degree (Masters),,Master of Business Analytics,"Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't)",Full Time,,York University,True,True,True,True -5662d75e-c629-4597-9fc1-e1c95388b537,maximedaigle95@gmail.com,Maxime,Daigle,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5662d75e-c629-4597-9fc1-e1c95388b537/resume,,,,,,2022-04-13T21:42:31.987Z,2022-04-13T21:42:32.017Z,False,False,Connected to Another AI Institute,Yes,Other/Unsure,,Other/Undetermined,Student at Mila,Mr.,https://www.linkedin.com/in/maxime-daigle-18b259140/,"Deep learning, Neuroscience",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Machine learning and neuroscience,Type of Work is More Important to me than Sector,"Full Time, Internship, Contract","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,False,True,True +02723491-74b4-4c4c-b714-ef34b37c965f,jahnvigorasiya2509@gmail.com,Jahnvi Dhirajlal,Gorasiya,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-30T01:15:46.242Z,2022-09-30T01:15:46.287Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Miss.,https://www.linkedin.com/in/jahnvigorasiya/,"AI safety, Data science, Privacy, anonymity, and/or security",Graduate Degree (Masters),Entry Level (0-2 Years),Maters in Information Technology Security,Type of Work is More Important to me than Sector,"Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Researcher/Scientist , Product/Project Manager",OntarioTech University,True,True,True,True +076d8e3d-f54b-4f8a-bce2-e630af408524,ida.liu@mail.utoronto.ca,Yushan,Liu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-02T19:00:34.742Z,2021-05-11T02:40:58.109Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Michael Hoffman,,,Miss.,https://www.linkedin.com/in/yushan-liu-b63736194/,,,,Mathematics and Statistics,,"Internship, Co-op, Contract, Capstone Project",,University of Toronto,True,True,True,True +7678190b-0050-40e9-9cf8-4e7ed4dfe65b,20jape@queensu.ca,Alexis,Esquivel,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-09-19T20:18:01.094Z,2022-09-28T22:30:14.552Z,False,False,Recognized Masters Program,Yes,,,,,,linkedin.com/in/alexispenaesquivel/,,,,,,,,,True,False,True,True bd8b3933-9250-4770-993e-0b0b861270c1,yihaodu.2017@gmail.com,Yihao,Du,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/bd8b3933-9250-4770-993e-0b0b861270c1/resume,,,,,,2020-09-22T17:20:25.844Z,2020-10-15T19:46:15.082Z,False,False,Connected to Vector Research,Yes,Vector Faculty or Faculty Affiliate,Scott Sanner,Already Graduated,,Mr.,https://www.linkedin.com/in/yihaodu/,,Graduate Degree (Masters),Entry Level (0-2 Years),MASc in Industrial Engineering,,Full Time,,University of Toronto,True,False,True,True +bfb57309-a86a-4b71-a14f-aee1a7f60657,tejas1631998@gmail.com,Tejas Nimeshkumar,Pandit,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,4168275892,,https://github.com/tejasnp163,,https://www.linkedin.com/in/tejas-pandit/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/bfb57309-a86a-4b71-a14f-aee1a7f60657/resume,Waterloo,Ontario,,Canada,linkedin,2021-01-06T03:56:03.836Z,2021-01-08T17:30:25.194Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Already Graduated,,Mr.,https://www.linkedin.com/in/tejas-pandit/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Engineering in Electrical and Computer Engineering with specialization in Artificial Intelligence and Machine Learning,"Software, Technology (Information and Media), Technology (Product Development)",Full Time,,University of Waterloo,True,True,True,True b517ac47-d326-4eac-8fe4-b17b4bab8ff3,mohdmaaz.khan97@gmail.com,Mohammed Maaz,Khan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,2 years of professional experience,An aspiring software engineer seeking a challenging position where I can effectively contribute my skills as individual contributor. I am ready to work under working professionals to learn and achieve greater success in my career and to also grow myself professionally and personally.,+91-9930593734,,,,https://www.linkedin.com/in/mohdmaazkhan/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b517ac47-d326-4eac-8fe4-b17b4bab8ff3/resume,,Ontario,,Canada,,2021-12-22T19:56:58.366Z,2022-01-01T10:51:42.517Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/mohdmaazkhan/,"Data science, Deep learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Computer Science,"Financial Services, Software, Technology (Information and Media), Technology (Product Development)",Co-op,"Data Analyst, Data Engineer, Data Scientist, Software Engineer",University of Windsor,True,True,True,True -90968903-948d-46f2-954c-c525d7529948,cvliaw@gmail.com,Christopher,Liaw,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,https://cvliaw.github.io/,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/90968903-948d-46f2-954c-c525d7529948/resume,,,,,,2021-02-25T19:31:44.283Z,2021-03-10T23:24:32.674Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Aleksandar Nikolov,Already Graduated,,Mr.,https://www.linkedin.com/in/chris-liaw-27288434/,"Machine learning, Online learning, Optimization",Postgraduate Degree (PhD),Entry Level (0-2 Years),Computer Science,"Financial Services, Software, Technology (Product Development)",Full Time,,University of Toronto,True,True,True,True 0ee026ce-bd5a-4ce5-bf69-6a3617077977,mathieutuli@cs.toronto.edu,Mathieu,Tuli,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,"MSc Candidate at the University of Toronto, Computer Science",,,,http://mathieutuli.com,,https://www.linkedin.com/in/mathieu-tuli/,,True,False,,,,,,,2020-11-06T15:01:37.848Z,2020-11-09T15:29:36.095Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Sheila McIlraith,Fall 2022,,Mr.,https://ca.linkedin.com/in/mathieu-tuli,,Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Internship,,University of Toronto,True,True,True,True -bfb57309-a86a-4b71-a14f-aee1a7f60657,tejas1631998@gmail.com,Tejas Nimeshkumar,Pandit,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,4168275892,,https://github.com/tejasnp163,,https://www.linkedin.com/in/tejas-pandit/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/bfb57309-a86a-4b71-a14f-aee1a7f60657/resume,Waterloo,Ontario,,Canada,linkedin,2021-01-06T03:56:03.836Z,2021-01-08T17:30:25.194Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Already Graduated,,Mr.,https://www.linkedin.com/in/tejas-pandit/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Engineering in Electrical and Computer Engineering with specialization in Artificial Intelligence and Machine Learning,"Software, Technology (Information and Media), Technology (Product Development)",Full Time,,University of Waterloo,True,True,True,True +179c96af-ecde-49ec-bf60-2c6ed5c34b3a,helena.yqs@gmail.com,Helena,Yu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-12-21T15:12:32.100Z,2020-12-31T02:13:10.987Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/helena-qiaoshan-yu/,,,,,,,,,True,True,True,True +90968903-948d-46f2-954c-c525d7529948,cvliaw@gmail.com,Christopher,Liaw,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,https://cvliaw.github.io/,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/90968903-948d-46f2-954c-c525d7529948/resume,,,,,,2021-02-25T19:31:44.283Z,2021-03-10T23:24:32.674Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Aleksandar Nikolov,Already Graduated,,Mr.,https://www.linkedin.com/in/chris-liaw-27288434/,"Machine learning, Online learning, Optimization",Postgraduate Degree (PhD),Entry Level (0-2 Years),Computer Science,"Financial Services, Software, Technology (Product Development)",Full Time,,University of Toronto,True,True,True,True 715261b5-1d54-4b8a-b4fc-f393b817e0e6,a.nasehzade@gmail.com,Arian,Naseh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-01-28T16:28:48.477Z,2022-01-28T16:28:48.531Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/arian-naseh/?originalSubdomain=ca,"Anomaly detection, Data science, Deep learning, Machine learning, Natural language processing, Recommender systems, Reinforcement learning, Time-series forecasting and modelling, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),M.A.Sc. Electrical and Computer Engineering,"Financial Services, Technology (Information and Media)",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",York University,True,False,True,True d4e177a4-6534-43db-a8a7-56ecc7dda28a,juhie.ahmed@gmail.com,Juhie,Ahmed,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Clinical Nurse,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d4e177a4-6534-43db-a8a7-56ecc7dda28a/resume,,,,,,2020-09-14T19:15:54.218Z,2020-09-14T19:15:54.242Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/juhie-ahmed-888152164/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Health Informatics,"Health, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector",Full Time,,University of Toronto,True,True,True,True -179c96af-ecde-49ec-bf60-2c6ed5c34b3a,helena.yqs@gmail.com,Helena,Yu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-12-21T15:12:32.100Z,2020-12-31T02:13:10.987Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/helena-qiaoshan-yu/,,,,,,,,,True,True,True,True -3ccfd25f-3f21-42ac-a575-dcacde531308,21as137@queensu.ca,Aaron,Sum,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/aaronsum135813/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3ccfd25f-3f21-42ac-a575-dcacde531308/resume,,,,,,2022-02-08T22:23:56.475Z,2022-02-24T01:11:39.237Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/aaronsum135813/,"Computer vision, Data science, Deep learning",Graduate Degree (Masters),Mid-Level (3-5 Years),2021,"Education, Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)",Internship,"Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True -b0b85e72-c67f-4809-bb32-c98f9a5b2671,alim.mogtaba@gmail.com,Mogtaba,Alim,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-02-06T19:02:23.068Z,2022-02-24T03:38:49.568Z,False,False,Connected to Vector Research,Yes,Other/Unsure,,Spring/Summer 2024 (April - July),Introduction to Machine Learning course for Black and Indigenous students,Mr.,https://www.linkedin.com/in/mogtaba-alim/,"Bioinformatics, Computational biology, Healthcare and/or medical imaging",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science and Bioinformatics & Computational Biology,"Health, Software, Technology (Product Development)","Internship, Co-op","Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",University of Toronto,True,True,True,True -28afc1b3-7daa-47ed-80d0-ea713798dd28,imparthmistry@gmail.com,Parth Hetalkumar,Mistry,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-02-09T17:47:12.091Z,2022-02-10T21:08:16.170Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/m-prth/,,,,,,,,,True,True,True,True +5662d75e-c629-4597-9fc1-e1c95388b537,maximedaigle95@gmail.com,Maxime,Daigle,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5662d75e-c629-4597-9fc1-e1c95388b537/resume,,,,,,2022-04-13T21:42:31.987Z,2022-04-13T21:42:32.017Z,False,False,Connected to Another AI Institute,Yes,Other/Unsure,,Other/Undetermined,Student at Mila,Mr.,https://www.linkedin.com/in/maxime-daigle-18b259140/,"Deep learning, Neuroscience",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Machine learning and neuroscience,Type of Work is More Important to me than Sector,"Full Time, Internship, Contract","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,False,True,True bf0e340d-d110-47ce-b8a5-cd8909f867b1,sainaasani123@gmail.com,Saina,Asani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-03-12T17:11:22.729Z,2022-05-10T20:35:23.409Z,False,False,Connected to Vector Research,Yes,Post Graduate Affiliate,Nicolas Papernot,Already Graduated,,Miss.,https://www.linkedin.com/in/saina-asani-b2622242/,,Graduate Degree (Masters),,Computer Science,,"Full Time, Internship",,University of Toronto,True,True,True,True +28afc1b3-7daa-47ed-80d0-ea713798dd28,imparthmistry@gmail.com,Parth Hetalkumar,Mistry,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-02-09T17:47:12.091Z,2022-02-10T21:08:16.170Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/m-prth/,,,,,,,,,True,True,True,True 56484c33-a312-47a1-8e91-36d9293abc88,yaoting.zhang@queensu.ca,Yaoting,Zhang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-10-23T13:10:35.625Z,2020-10-29T20:20:33.903Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/yaoting-zhang/,,,,,,,,,True,False,True,True -5fff2dc9-a06f-4c91-bd53-5ba50fc3cc84,vikash.apple@gmail.com,Vikash,Kumar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Experienced consulting professional,"A seasoned professional with 14 years of experience leading consulting engagements deploying innovative technologies to support data driven decisions including ERP, machine learning proof-of-concepts (POC) and visualization platforms across supply chain, retail, banking and insurance industries. Experienced in building technological roadmap to realize short-term and long-term -business goals.",6478185962,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5fff2dc9-a06f-4c91-bd53-5ba50fc3cc84/resume,Toronto,Ontario,,Canada,,2020-08-20T16:44:29.765Z,2020-09-11T19:40:28.072Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/vikash-kumar37/,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Management in Artificial Intelligence (MMAI),,"Full Time, Contract, Capstone Project",,Queen's University,True,True,True,True -c762ef3c-e723-44bb-ac56-a0613ca7657b,steniel.sy@gmail.com,Steniel,Sy,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Full-stack Software Engineer and Data Science Intern,"A full-stack software engineer and aspiring AI researcher interested in the fields of Computer Vision, NLP and Robotics. I am seeking to collaborate and contribute to advance the technologies associated with artificial sight, cognition, and motion to improve ways of life.",4165085074,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c762ef3c-e723-44bb-ac56-a0613ca7657b/resume,Toronto,Ontario,,Canada,,2020-08-13T19:40:16.913Z,2020-09-30T21:36:37.891Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/steniel/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Science in Computer Science Specialization in Artificial Intelligence,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Capstone Project",,York University,True,True,True,True -6b8a55c1-049c-45aa-a6d0-82bf0ec0d799,yusufshalaby@gmail.com,Yusuf,Shalaby,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Recent operations research graduate looking for a data scientist position,,6472367484,,,,https://www.linkedin.com/in/yusufshalaby/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6b8a55c1-049c-45aa-a6d0-82bf0ec0d799/resume,,,,,,2020-09-04T14:57:47.516Z,2020-09-13T18:27:30.376Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Already Graduated,,Mr.,https://www.linkedin.com/in/yusufshalaby/,,Graduate Degree (Masters),Entry Level (0-2 Years),Industrial Engineering,"Education, Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship",,University of Toronto,True,False,True,True -97214c79-d5db-459d-b31b-cf9f26786283,mohita.chaudhary.18@gmail.com,Mohita,Chaudhary,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,4168312619,,,,,,True,False,,,,,,,2020-09-04T14:57:49.361Z,2020-09-17T14:49:35.845Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2021,,Ms.,https://www.linkedin.com/in/mohita-chaudhary-615b92112/,,Graduate Degree (Masters),Entry Level (0-2 Years),MASc in ECE,"Software, Technology (Information and Media), Type of Work is More Important to me than Sector",Full Time,,University of Waterloo,True,True,True,True -e7a0c2f8-de2b-4a1f-a40e-1d767b705ddb,wongfay0207@hotmail.com,Fay,Wong,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,"Big Data Scientist, Engineer, Medical Scientist, Clinician, Expert Consultant","PROFILE HIGHLIGHTS – SAVED THOUSANDS OF LIVES! -• Pioneered the genomic research on Merck’s KEYTRUDA®(pembrolizumab) in treating Mismatch Repair Deficiency / Microsatellite Instability (dMMR/MSI) patients that was granted the first and the only FDA tissue-agnostic approval. -• Published in highly cited top scientific journals such as Science, Nature Genetics, PNAS, and Proceedings of AACR. -• Advise on a broad range of subject matters in linux, cluster, cloud computing, databases, artificial intelligence (AI), quantum computing (QC), blockchain, internet of things (IoT), life science, pharm, biotech, clinical and translational research. -• Over 15 years of hands-on technical experience in IT, clinical and biomed research with big data (TBs). -• Data modeling using Linux shell script, Python, R, Perl, Matlab, SQL, Java, C, C++, Assembly, Anaconda, SAS, Docker, MSFT Azure, GOOGL CoLab, IBM Q Experience, Cancer Genome Cloud, human (epi-)genome sequencing pipeline, etc.",14439901329,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e7a0c2f8-de2b-4a1f-a40e-1d767b705ddb/resume,,,,,,2020-09-06T00:02:15.183Z,2020-12-04T14:12:23.162Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,,Dr.,https://www.linkedin.com/in/wongfay/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Bioinformatics; Biomedical Informatics; Medicine; Computer Science;,"Education, Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector",Full Time,,Other,True,True,True,True -d32cb254-f32e-4551-a98e-e90303cb3907,fuv@me.com,Chuck,Fu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,NLP research analyst for quant research,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d32cb254-f32e-4551-a98e-e90303cb3907/resume,Toronto,Ontario,,Canada,,2020-08-13T19:40:34.493Z,2020-08-13T20:10:28.563Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,University of Waterloo,Already Graduated,,Mr.,https://www.linkedin.com/in/chuck-fu-112214176/,,Graduate Degree (Masters),Entry Level (0-2 Years),master of mathematics (computer science),"Financial Services, Professional Services (e.g Consulting), Retail, Technology (Information and Media), Technology (Product Development)",Full Time,,University of Waterloo,True,True,True,True -f7e744a6-0978-42bc-8857-f3b1783a6eee,puneet@cs.toronto.edu,Puneet,Gupta,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Science Intern,,,,,,https://www.linkedin.com/in/-puneet-/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f7e744a6-0978-42bc-8857-f3b1783a6eee/resume,Toronto,Ontario,,Canada,,2020-09-04T14:57:50.470Z,2020-09-24T00:52:01.970Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/-puneet-/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science (ML),"Education, Health, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,,University of Toronto,True,False,True,True +fce87a34-1a51-4c79-920b-3bb79b291e1e,immanuel_tacky@outlook.com,Immanuel,Tacky,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Experienced IT Consultant with Experience in Artificial Intelligence,"I am a graduate student currently am enrolled at Smith School of Business at Queen's University for a Master of Management in Artificial Intelligence and am ecstatic at what comes next in my journey regarding AI and Data Science. Having worked on AI multiple projects as well as having great IT experience, I am very eager to apply my skill set to an appropriate role. I am very passionate about the domains AI, Data Science and Data Analytics and am looking for a company that understands this passion and provides great opportunities for mutual growth. I am based in the Toronto area, but I am willing to work anywhere within Canada or work remotely. Currently, I am seeking roles that will adequately apply my knowledge amassed from experience and academia with Artificial Intelligence, namely in the domains of AI, Data Science and Data Analytics. My expected graduation date is in the Fall of 2022, and am seeking out full-time roles and internships. I am very excited for what the future has in store!",6472183936,,,,https://www.linkedin.com/in/immanueltacky/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/fce87a34-1a51-4c79-920b-3bb79b291e1e/resume,Toronto,Ontario,,Canada,,2022-01-13T20:27:35.760Z,2022-01-13T21:17:27.686Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/immanueltacky/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management in Artificial Intelligence,"Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",Queen's University,True,True,True,True +f93baec0-637d-453e-8b7c-c3c77eef57a2,elgendy.haytham@gmail.com,Haytham,Elgendy,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Eng.,,4379724488,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f93baec0-637d-453e-8b7c-c3c77eef57a2/resume,Toronto,Ontario,,Canada,,2020-11-04T07:53:44.279Z,2020-11-04T07:53:44.315Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,I have an AI background and interest in joining Vector & Uber & Applied problems.,Mr.,N/A,,Graduate Degree (Masters),Mid-Level (3-5 Years),Telecom & Information Networks and Artificial Neural Nets for Pattern Recognition.,"Education, Health, Software, Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract",,Other,True,True,True,True +8b429795-961a-462c-a29b-1972b8fec124,ranarahul@protonmail.com,Rahul,Rana,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2020-09-03T17:45:46.546Z,2020-09-03T17:45:46.561Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/rahul-rana-b713499a/,,,,,,,,,True,True,True,True +293d620c-d1cb-4289-ae7c-d92ffad0e76a,yixuanh@yorku.ca,Yixuan,Hong,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-08-13T19:40:59.668Z,2020-09-15T05:40:10.207Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/viola-hong/,,,,,,,,,True,False,True,True +ba90f735-f2d7-4801-b036-26cce2c5ae74,yuting.duan@queensu.ca,Corey,Duan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-08-13T15:44:10.936Z,2021-08-16T16:15:23.689Z,False,False,Recognized Masters Program,Yes,,,,,,http://linkedin.com/in/yutingduan28,,,,,,,,,True,False,True,True +b3c6a5f4-68c7-47f1-89c6-dab0fd4d8c9d,aondoakura.ornyar@queensu.ca,Aondoakura,Ornyar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6134006570,,,,,,True,False,,Ottawa,Ontario,,Canada,,2021-12-22T19:56:55.037Z,2021-12-23T02:20:14.292Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/aondoakuraornyar,"Data science, Time-series forecasting and modelling, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Senior Level (5+ Years),Master of Management Analytics,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Product/Project Manager, Software Engineer",Queen's University,True,False,True,True +e2890503-c8c6-4fa6-91d9-ebdf4ecbea5e,sueyi1207@gmail.com,Yiki,Su,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Experienced analyst,Over two years experiences in consulting analyst position with a master degree in data science.,,,,,https://www.linkedin.com/in/zhanyi-yiki-su-62ab30b0/,,True,False,,,,,,,2021-11-09T21:33:18.059Z,2021-11-10T16:31:16.659Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/zhanyi-yiki-su-62ab30b0/,"Data science, Machine learning, Statistical learning theory",Graduate Degree (Masters),Mid-Level (3-5 Years),Data Science,"Financial Services, Health, Professional Services (e.g Consulting), Technology (Information and Media), Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist",Other,True,False,True,True +9cb1150c-53ad-4475-85a7-297ae5bad37f,ttazrin@lakeheadu.ca,Tahrat,Tazrin,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-06-02T13:19:22.133Z,2021-06-03T16:01:44.443Z,False,False,Recognized Masters Program,Yes,,,,,,https://bd.linkedin.com/in/tahrat-tazrin-a91263176,,,,,,,,,True,False,True,True +57063be3-0f4f-4c31-b525-8fbe4731dfec,alankrit6mishra@live.com,Alankrit,Mishra,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Graduate Research Assistant,,8073559196,,,,,,True,False,,,,,,,2021-11-09T21:33:16.758Z,2021-11-09T21:49:39.601Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/alankrit-mishra/,"AI safety, Bioinformatics, Computer vision, Deep learning, Healthcare and/or medical imaging, Machine learning, Neuroscience, Time-series forecasting and modelling, Transfer learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science - AI Specialization,"Construction or Infrastructure, Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Transportation, Type of Work is More Important to me than Sector","Full Time, Internship","Machine Learning Engineer, Machine Learning Researcher/Scientist ",Lakehead University,True,True,True,True +78158a88-0bc9-44ef-81d4-efb206bdf794,trevor.liu28@gmail.com,Tong,Liu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,4163589610,,,,https://www.linkedin.com/in/trevortongliu/,,True,False,,Toronto,Ontario,,Canada,,2021-08-13T15:44:24.345Z,2021-08-13T18:45:47.798Z,False,False,Recognized Masters Program,Yes,,,Already Graduated,,Mr.,https://www.linkedin.com/in/trevortongliu/,"Data science, Optimization, Statistical learning theory",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Applied Mathematics,"Financial Services, Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Product/Project Manager, Software Engineer",University of Toronto,True,True,True,True d04c234f-17c0-454d-b344-5fab159d2467,xinliuxlxl@hotmail.com,Cindy,Liu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Sr Data Quality Analyst,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d04c234f-17c0-454d-b344-5fab159d2467/resume,,,,,,2020-08-13T19:40:15.991Z,2020-09-24T13:19:00.578Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/cindy-liu-35290975/,,Graduate Degree (Masters),Entry Level (0-2 Years),MMA,"Financial Services, Retail, Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract",,Queen's University,True,True,True,True -2c3b1fda-97f3-41da-9466-4e74d04d80bd,di.wu@queensu.ca,Di,Wu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Experienced Cloud strategist and architect,,,,,,https://www.linkedin.com/in/diw/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2c3b1fda-97f3-41da-9466-4e74d04d80bd/resume,,,,,,2020-08-13T19:40:31.305Z,2020-08-13T22:15:09.777Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/diw/,,Graduate Degree (Masters),Senior Level (5+ Years),Management Analytics,"Construction or Infrastructure, Financial Services, Health",Full Time,,Queen's University,True,False,True,True -74cc569d-f809-4ebe-8150-805a485fa5ef,zhan.lin@ucalgary.ca,Gerry,Lin,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-02-10T15:42:32.575Z,2021-02-10T21:10:39.692Z,False,False,Recognized Masters Program,Yes,,,,,,N/A,,,,,,,,,True,True,True,True -c049cc25-15d7-44f7-8bae-aa91b82fc7fb,dborgesm@uwo.ca,Daniela,Borges Martinez,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Master of Data Analytics candidate at Western University | Analytics and Reinsurance Experience,"I have always been passionate about applying mathematical reasoning to real-world problems; that is why I decided to do my Undergraduate in Actuarial Sciences, where I developed my statistical, analytical, and programming skills. Afterward, I supported the establishment of a representative office of a reinsurance company in Mexico City and gave international actuarial support. -However, my desire to learn how to obtain, process, and build models out of data made me realize that I want to focus my career in data analytics. Taking this new path will let me continue to grow not only my technical skills but my interpersonal ones and be able to contribute to any industry. -I finished my Master of Data Analytics at Western Ontario in August 2020. Currently, I am working as a Data Scientist at Scotiabank where my day to day activities involve extract data from the Unix servers and analyze the lending products using a customer level approach. As a result, I found myself even further drawn to use my potential to help organizations identify, attract, and retain the most profitable customers and turn their data into business insights for decision making. -",2269983914,,https://github.com/dborgesm,,https://www.linkedin.com/in/daniela-borges-martinez-65bb09116/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c049cc25-15d7-44f7-8bae-aa91b82fc7fb/resume,Richmond Hill,Ontario,,Canada,,2019-12-29T23:33:42.284Z,2020-09-12T14:18:38.260Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/daniela-borges-martinez-65bb09116/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Data Analytics,"Financial Services, Professional Services (e.g Consulting), Technology (Information and Media)",Full Time,,Western University,True,True,True,True -db7f6fe9-4408-407b-ae50-c31fb23d2df3,yzhu347@hotmail.com,Michael,Zhu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,"With a passion for data analytics, I love solving real-world problems by drawing practical insights from the data that is all around us. I believe that while statistical and artificial intelligence tools are helpful for data analysis, they are not substitutes for critical thinking and field expertise. They simply cannot replace creativity and human ingenuity. There is where I come in, to translate statistical data into comprehensible information that is useful for decision-making. -My undergraduate education and work experience has given me a strong understanding of corporate strategy and business needs. As a result, I am able to ensure that my statistical and machine learning solutions are appropriate for the business problem at hand. In addition, I can effectively communicate with both technical experts and business managers, and can explain my solutions in a manner that is suitable for my audience. ",5196949671,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/db7f6fe9-4408-407b-ae50-c31fb23d2df3/resume,Toronto,Ontario,,Canada,,2019-12-11T18:31:36.609Z,2020-01-17T01:29:28.538Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/michael-z-046417190/,,Graduate Degree (Masters),,Master of Management in Artificial Intelligence,"Financial Services, Retail, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op, Contract, Capstone Project",,Queen's University,True,True,True,True -329e69e0-2599-435a-bce1-4281f25e585e,ruo.cxie@gmail.com,Andy,Xie,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Engineering Undergraduate Student,,647 669 8515,,,,,,True,False,,Toronto,Ontario,,Canada,,2019-12-27T20:30:01.712Z,2019-12-27T20:30:01.760Z,False,False,Connected to Vector Research,Yes,Other/Unsure,,,I was working on a few machine learning projects in a lab that was led by a professor in the Vector Institute.,Mr.,https://www.linkedin.com/in/andy-xie-666770123/,,,,Engineering Science,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Type of Work is More Important to me than Sector","Internship, Co-op",,University of Toronto,True,True,True,True -dbccd0f1-289d-470f-9a73-688810c4b78c,pathik0805@gmail.com,Pathik,Patel,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Student,"I'm a Machine Learning enthusiast looking for summer co-op opportunities, eager to work in the industry to understand the real world applications and the challenges associated with it. ",8073580083,,,,https://www.linkedin.com/in/pathik-patel-2493a015b/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/dbccd0f1-289d-470f-9a73-688810c4b78c/resume,Thunder Bay,Ontario,,Canada,linkedin,2019-12-07T02:12:15.878Z,2020-01-24T16:12:10.096Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/pathik-patel-2493a015b/,,Graduate Degree (Masters),,Masters in Computer Science,"Financial Services, Health, Software, Technology (Product Development)","Internship, Co-op",,Lakehead University,True,True,True,True -67f4a2cf-4f24-433f-bc80-b3f5c022ce97,jingxiaozh@gmail.com,Jingxiao,Zhang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,"Manager, Campaign Design",,647-526-0821,,,,,,True,False,,Toronto,Ontario,,Canada,,2019-12-04T01:11:31.114Z,2019-12-04T01:11:31.157Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Miss.,https://www.linkedin.com/in/jingxiao-zhang/,,,,Master of Management Analytics,"Financial Services, Retail, Telecommunications","Full Time, Internship, Co-op, Contract, Capstone Project",,Queen's University,True,True,True,True -b1decd9e-a621-48bd-8d0b-6d5ff566ff01,kthapar@lakeheadu.ca,Kunal,Thapar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-05T14:25:45.284Z,2019-12-05T14:25:45.407Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/kunal-thapar-6907a296/,,,,Master in computer science,"Financial Services, Retail","Full Time, Internship, Contract",,Lakehead University,True,False,True,True -0fd05124-3b98-406e-8a5e-8057f0874045,umarazakhan@gmail.com,Umar,Khan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2020-01-04T01:06:39.884Z,2020-01-04T01:06:39.907Z,False,False,Not Affiliated with Vector,No,,,,,,Not Found,,,,,,,,,True,True,True,True -56ba0c52-3a24-4e6e-90f2-94b08a40da9c,b8armstr@uwaterloo.ca,Ben,Armstrong,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,Waterloo,Ontario,,Canada,,2019-12-14T16:31:17.817Z,2019-12-14T16:31:17.906Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Student or Postdoc of a Vector Faculty Member,Kate Larson,,,Mr.,Not Found,,,,PhD Computer Science,,"Full Time, Internship",,University of Waterloo,True,True,True,True -ebd5e7e6-a923-4c4d-bcda-494bd5d95219,siddhidave94@gmail.com,Siddhi,Dave,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Experienced Engineer Software Developer ,,4372443672,,,,,,True,False,,London,Ontario,,Canada,,2019-12-31T20:03:41.396Z,2019-12-31T20:03:41.440Z,False,False,Not Affiliated with Vector,No,Post Graduate Affiliate,,,,Ms.,https://www.linkedin.com/in/siddhi-dave/,,,,Business and Information Systems Architecture,"Software, Technology (Information and Media), Technology (Product Development)","Internship, Co-op, Capstone Project",,Other,True,True,True,True -8cecc294-e70b-4334-b10c-d07af1801007,gloriamak@pm.me,Gloria,Mak,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6478013629,,https://www.gloriamak.com,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8cecc294-e70b-4334-b10c-d07af1801007/resume,Toronto,Ontario,,Canada,,2019-12-03T17:32:30.618Z,2019-12-03T17:32:30.655Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Miss.,https://www.linkedin.com/in/gmak/,,,,Master of Management Analytics,"Retail, Telecommunications","Full Time, Internship",,Queen's University,True,False,True,True -8457c27d-e8f4-4dbc-8f8e-9d67a92142e1,boukhalilanthony@gmail.com,Anthony,Bou Khalil,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-22T08:00:10.836Z,2019-12-25T22:19:13.426Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,,Ryerson University Student,Mr.,https://www.linkedin.com/in/anthonyboukhalil/,,,,Computer Science,Software,"Internship, Co-op",,Ryerson University,True,False,True,True -d4b5b9fb-5437-4f16-bde5-cabd6e5e2672,kapildevprasadverma@gmail.com,Kapildev,Verma,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-06T06:39:39.704Z,2019-12-06T06:39:39.745Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/kapildev-verma-7b6928197/,,,,Master in Computer science,"Financial Services, Retail, Telecommunications","Full Time, Internship",,Lakehead University,True,True,True,True -dd46e090-8b6d-4c74-9dac-1f5acbc95cbd,lihaocaleo@gmail.com,Hao,Li,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2019-12-11T16:13:28.873Z,2019-12-11T16:13:28.895Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/hao-li-b04436124/,,,,,,,,,True,False,True,True +52e799c8-183e-44bb-b775-a96b6330dda4,shitangshu.maity@queensu.ca,SHITANGSHU,MAITY,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-12-22T19:56:28.537Z,2021-12-22T22:50:59.046Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/shitangshu-maity/,,,,,,,,,True,True,True,True +4d3829a6-bbff-419d-ac4e-54b3d85e21c1,paria.mehrani@gmail.com,Paria,Mehrani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-12-22T19:56:54.906Z,2022-01-13T11:56:13.646Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/paria-mehrani-7871402b/,,,,,,,,,True,True,True,True +7a93ca58-1345-4889-98f7-85511de86746,pragnesh.maisuria@dmsiitd.org,Pragnesh,Maisuria,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-12-22T19:56:28.350Z,2021-12-22T21:48:15.668Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/pragnesh-maisuria/,,,,,,,,,True,False,True,True +aa3b8389-c6c6-4efe-876a-41410f789ca8,misaghi@ualberta.ca,Ehsan,Misaghi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-06-14T13:55:46.652Z,2021-06-16T05:26:48.304Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/emisaghi/,,,,,,,,,True,True,True,True +9182f850-bd8e-4446-8e25-31f4d3285f09,yusa.li@mail.utoronto.ca,Yusa,Li,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-08-20T16:44:41.334Z,2020-09-26T00:18:27.517Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/yusa-li/,,,,,,,,,True,True,True,True 2a0f156a-f631-4a5a-87de-b91695a2f634,zyousefi10@gmail.com,Zohreh,Yousefi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Content Team Lead,,4164542596,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2a0f156a-f631-4a5a-87de-b91695a2f634/resume,Toronto,Ontario,,Canada,,2021-06-23T13:43:53.467Z,2021-06-23T19:43:06.814Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,ON,Already Graduated,,Ms.,https://www.linkedin.com/in/zohrehyousefi/,"Healthcare and/or medical imaging, Natural language processing, Neuroscience, Online learning",Graduate Degree (Masters),Senior Level (5+ Years),Master of Quantitative Management - Health Analytics,Health,"Full Time, Capstone Project","Business Analyst/Business Intelligence Analyst , Product/Project Manager",Other,True,True,True,True +9548e73e-5af0-4e38-9282-0f3179b2a612,sourav@cs.toronto.edu,Sourav,Bhattacharjee,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-09-01T20:47:30.797Z,2021-09-23T03:52:07.900Z,False,False,Connected to Vector Research,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/bhattacharjeesourav/,"Natural language processing, Self-supervised learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,,Full Time,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +4057f513-d966-409c-adec-4aba9e2a0f2e,msiam@eecs.yorku.ca,Mennatullah,Siam,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/mennatullah-siam-6546508a/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4057f513-d966-409c-adec-4aba9e2a0f2e/resume,Toronto,Ontario,,Canada,,2021-10-22T11:51:54.771Z,2021-10-22T11:51:54.828Z,False,False,Connected to Vector Research,Yes,Other/Unsure,Konstantinos Derpanis,Already Graduated,Collaborating with Vector affiliates and faculty,Dr.,https://www.linkedin.com/in/mennatullah-siam-6546508a/,Computer vision,Postgraduate Degree (PhD),Senior Level (5+ Years),Computing Science,Type of Work is More Important to me than Sector,Internship,Machine Learning Researcher/Scientist ,York University,True,True,True,True 266eb7da-9c88-474f-a0f0-a199bf72bf54,rekkab@uoguelph.ca,Rekkab,Gill,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/rekkabgill/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/266eb7da-9c88-474f-a0f0-a199bf72bf54/resume,,,,,,2021-05-06T15:55:39.707Z,2021-05-07T06:17:52.976Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/rekkabgill/,,Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science and Artificial Intelligence,,"Full Time, Internship, Co-op, Contract","Data Engineer, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Guelph,True,True,True,True -070544ec-7000-4299-aa4d-1f4c02572477,dlf772@gmail.com,Linhui,Dai,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Scientist Intern,"I am a graduate student in the programme of Master of Applied Science (M.A.Sc.) of Electrical and Computer Engineering at McMaster University supervised by Dr. Jun Chen. I am an enthusiast of deep learning and computer vision with a research area centers on low-level vision, segmentation, and image matting. I plan to graduate at 2021 Summer and look forward to joining a ful-time position at that time.",,,https://charlie0215.github.io,,https://www.linkedin.com/in/charlie-linhui-dai-978359125/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/070544ec-7000-4299-aa4d-1f4c02572477/resume,,,,,,2020-06-09T16:05:56.422Z,2021-03-10T02:37:14.137Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/charlie-linhui-dai-978359125/,,Graduate Degree (Masters),Entry Level (0-2 Years),Electrical Engineering Co-op,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Capstone Project",,McMaster University,True,True,True,True -81174b8d-532e-4ba4-a36a-551dd4252c10,dc.austria14@gmail.com,Charles,Austria,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-02-24T23:36:17.642Z,2021-02-24T23:36:17.679Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Mr.,N/A,"Computer vision, Natural language processing, Quantum computing",Graduate Degree (Masters),Entry Level (0-2 Years),Statistics,"Education, Health, Software, Technology (Information and Media)","Full Time, Contract",,University of Guelph,True,True,True,True -0e07ab15-6d74-4bbc-baba-485382ac113c,jawhar.afli@ensi-uma.tn,Jawhar,AFLI,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-01-08T20:13:24.165Z,2021-01-08T20:13:24.220Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Spring/Summer 2021,I'm a foreign student,Mr.,https://www.linkedin.com/in/jawhar-afli/,"Deep learning, Machine learning, Optimization",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Artificial intelligence,Technology (Product Development),Internship,,Other,True,False,True,True -be5c55ab-afb2-4a5a-8b92-dbbaaa73b868,yousefi.samira@gmail.com,Samira,Yousefinaghani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,2268204502,,,,https://www.linkedin.com/in/samira-y-17054a187/,,True,False,,,,,,,2021-06-02T13:19:17.905Z,2021-11-02T13:47:40.979Z,False,False,Connected to Vector Research,Yes,Post Graduate Affiliate,Ontario,Already Graduated,,Ms.,https://www.linkedin.com/in/samira-y-17054a187/,,Postgraduate Degree (PhD),Entry Level (0-2 Years),Computational Sciences,,"Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Guelph,True,True,True,True -7ee69800-6334-4f8a-a2a0-b09d92d3f6fb,ljh69993@gmail.com,Jianhui,li,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/7ee69800-6334-4f8a-a2a0-b09d92d3f6fb/resume,,,,,,2021-01-23T01:38:03.286Z,2021-01-23T01:38:03.309Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2021,,Mr.,https://www.linkedin.com/in/jianhui-wayne-li/,"Data science, Deep learning, Recommender systems",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Engineering,"Financial Services, Software, Technology (Product Development)","Full Time, Contract",,University of Toronto,True,True,True,True -be18e2eb-242f-4cb8-84b7-8d730f527614,s.mathur@rotman.utoronto.ca,Saumya,Mathur,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/saumyamathur96/,,True,False,,,,,,,2021-08-24T21:14:51.793Z,2021-08-24T22:48:47.460Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Ms.,https://www.linkedin.com/in/saumyamathur96/,,Graduate Degree (Masters),Entry Level (0-2 Years),Management Analytics,"Professional Services (e.g Consulting), Retail, Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Other ",University of Toronto,True,False,True,True a38662b8-5b5d-4713-85c3-992232a85a5a,bharath.sethuraman@gmail.com,Bharat,Sharman,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-12-20T03:10:27.417Z,2021-05-14T20:43:06.005Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Professor Ali Ghodsi (Took a Statistical Learning Course and taking a Deep Learning Course with him at Waterloo),Fall 2021,,Mr.,https://www.linkedin.com/in/bharatss/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Senior Level (5+ Years),MMath Statistics,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Product Development)","Full Time, Internship",,University of Waterloo,True,True,True,True d386cbee-2bc2-4091-8946-10ad6d675823,h344lee@uwaterloo.ca,Harry,Lee,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-12-21T15:12:30.309Z,2020-12-22T00:07:52.089Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/hoyoun-harry-lee/,,,,,,,,,True,True,True,True +be5c55ab-afb2-4a5a-8b92-dbbaaa73b868,yousefi.samira@gmail.com,Samira,Yousefinaghani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,2268204502,,,,https://www.linkedin.com/in/samira-y-17054a187/,,True,False,,,,,,,2021-06-02T13:19:17.905Z,2021-11-02T13:47:40.979Z,False,False,Connected to Vector Research,Yes,Post Graduate Affiliate,Ontario,Already Graduated,,Ms.,https://www.linkedin.com/in/samira-y-17054a187/,,Postgraduate Degree (PhD),Entry Level (0-2 Years),Computational Sciences,,"Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Guelph,True,True,True,True +8703244f-7f08-419d-a6e2-23e91074bc44,moayyedi.arash@gmail.com,Arash,Moayyedi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Computer Science master's student at University of Waterloo,,+15195034881,,,,https://www.linkedin.com/in/arash-moayyedi/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8703244f-7f08-419d-a6e2-23e91074bc44/resume,,,,,,2022-01-06T16:24:25.573Z,2022-01-16T20:04:21.714Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/arash-moayyedi/,"Deep learning, Machine learning, Reinforcement learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Mathematics in Computer Science,Type of Work is More Important to me than Sector,"Full Time, Internship, Contract, Capstone Project","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Waterloo,True,True,True,True +7ff4c8b8-032d-4d47-95a7-1d77819a3977,farzaneh@cs.toronto.edu,Farzaneh,Mahdisoltani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-10-30T15:30:40.150Z,2020-11-01T15:27:26.796Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,,Already Graduated,,Mrs.,https://www.linkedin.com/in/farzaneh-mahdisoltani/,"Bayesian methods, Computer vision, Optimization",Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Science,"Education, Professional Services (e.g Consulting), Technology (Information and Media)","Full Time, Internship, Co-op, Contract",,University of Toronto,True,False,True,True +7eeb1fe0-573d-4495-a142-9804efbe6215,raeidsaqur@gmail.com,Raeid,Saqur,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-10-23T17:57:50.570Z,2020-10-23T17:57:50.617Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Frank Rudzicz,Already Graduated,,Mr.,https://www.linkedin.com/in/raeidsaqur/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Science,,"Internship, Contract",,University of Toronto,True,False,True,True 72f94cb8-3214-49ba-af1a-3939a8df986d,yihangxu001@hotmail.com,William,Xu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-08-10T00:57:26.939Z,2021-08-10T00:57:26.968Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/yihangxu/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Data Science,Type of Work is More Important to me than Sector,"Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer",Other,True,True,True,True +1a76e8d8-0772-4e5d-9d11-5472e61f0eb4,krantikurrey@gmail.com,Kranti,Kumari,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-11-24T05:28:39.006Z,2020-11-24T05:28:39.037Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/kranti-kumari-60789592/,,Graduate Degree (Masters),Entry Level (0-2 Years),Signal Processing and Machine Learning,"Software, Technology (Product Development)",Internship,,Other,True,True,True,True +37b898e1-4876-4520-a97e-1bdc6106b319,altwainm@uwindsor.ca,Mohammed,Altwaini,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2020-12-01T05:22:05.930Z,2020-12-01T05:22:05.945Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/mohammed-altwaini-a2416a127/,,,,,,,,,True,False,True,True +344b5ee4-38cb-41e2-937c-64fd71fd0317,zyu@schulich.yorku.ca,Sasha,ZENG,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-03-19T14:36:04.551Z,2021-03-25T16:52:05.098Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/sashazeng/,,,,,,,,,True,True,True,True +9188e754-1182-4743-9aef-9302bec7e3a9,zavid.rabbi@ontariotechu.net,Zavid,Rabbi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,4372446905,,,,https://www.linkedin.com/in/zavid-rahat-rabbi-0ba860134,,True,False,,,Ontario,,Canada,,2020-09-17T16:54:29.734Z,2020-09-23T19:14:02.373Z,False,False,Recognized Masters Program,Yes,Other/Unsure,,Already Graduated,Currently I am pursuing my masters at Ontario tech university and I am not sure is my university is associated with Vector Institute.,Mr.,www.linkedin.com/in/zavid-rahat-rabbi-0ba860134,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science & Engineering,"Financial Services, Health, Manufacturing , Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Internship, Co-op",,OntarioTech University,True,True,True,True +fd83cac7-e0ac-4234-b8a2-5b9d88fb3609,graj@yorku.ca,Gaya,Savida Raj,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,7657726974,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/fd83cac7-e0ac-4234-b8a2-5b9d88fb3609/resume,,,,,,2020-09-10T14:50:04.667Z,2020-09-10T14:50:04.698Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/gayaraj/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management in Artificial Intelligence,"Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project",,York University,True,True,True,True +91e48962-89e7-4b34-b580-57ea1c7aac6e,nflee092@uottawa.ca,Nicolas,Fleece,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Developer,"I've worked in the professional software development field throughout my undergraduate degree, now pursuing a masters in Applied Artificial Intelligence at University of Ottawa.",8199188693,,,,https://www.linkedin.com/in/nicolas-fleece-8141ab172/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/91e48962-89e7-4b34-b580-57ea1c7aac6e/resume,Ottawa,Ontario,,Canada,,2020-09-11T13:47:10.911Z,2020-09-24T00:56:28.754Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/nicolas-fleece-8141ab172/,,Graduate Degree (Masters),Entry Level (0-2 Years),Masters in applied AI,Type of Work is More Important to me than Sector,"Internship, Co-op, Contract",,University of Ottawa,True,True,True,True +01d8da7d-bcfe-4278-b91b-d5abb78cc408,mpouria80@gmail.com,Pouria,Mahdavinia,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-05-26T18:13:47.028Z,2020-05-27T10:40:35.018Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Spring/Summer 2023,,Mr.,Not Found,,Graduate Degree (Masters),Entry Level (0-2 Years),Electrical Engineering,"Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Internship, Co-op",,Queen's University,True,True,True,True +f10a18b1-68bc-41f0-b98a-ca260aeb2916,jonathancy.mo@mail.utoronto.ca,Jonathan,Mo,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Anlytics in Finance ,,6475718925,,,,https://www.linkedin.com/in/jonathan-mo/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f10a18b1-68bc-41f0-b98a-ca260aeb2916/resume,Toronto,Ontario,,Canada,,2020-09-11T13:47:11.636Z,2020-09-28T22:33:16.952Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/jonathan-mo/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,"Construction or Infrastructure, Financial Services, Health, Professional Services (e.g Consulting), Technology (Information and Media)",Full Time,,University of Toronto,True,True,True,True +47ded269-5d8e-401c-97ef-82d43c0281bd,yvan.large@queensu.ca,Yvan,Large,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Director of HPC/AI System,,6472612309,,,,https://www.linkedin.com/in/yvan-large,,True,False,https://canadaai.jobboard.io/api/v1/profiles/47ded269-5d8e-401c-97ef-82d43c0281bd/resume,Richmond Hill,Ontario,,Canada,,2020-09-17T16:54:30.183Z,2020-09-24T14:16:09.693Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/yvan-large,,Graduate Degree (Masters),Senior Level (5+ Years),MMAI,"Construction or Infrastructure, Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector",Full Time,,Queen's University,True,False,True,True +401da017-d655-46a4-be29-8689eb3c3576,zhaoliang.yang@umontreal.ca,Matt,Yang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Master Student in Machine Learning,,5197011037,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/401da017-d655-46a4-be29-8689eb3c3576/resume,,,,,,2020-06-16T14:46:34.099Z,2020-06-20T14:44:13.918Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Spring/Summer 2021,I am studying in MILA. It's probably not recognized as it's in QC but should be equivalent.,Mr.,https://www.linkedin.com/in/zhaoliangyang/,,Graduate Degree (Masters),Entry Level (0-2 Years),Professional Masters In Machine Learning,"Financial Services, Health, Manufacturing , Software, Technology (Information and Media)","Full Time, Internship",,Other,True,True,True,True +3a98aae0-789a-444f-b025-a87cb585d539,tuli.mathieu@gmail.com,Mathieu,Tuli,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-09-11T13:47:17.563Z,2020-09-11T15:54:21.345Z,False,False,Connected to Vector Research,Yes,,,,,,https://ca.linkedin.com/in/mathieu-tuli,,,,,,,,,True,False,True,True +d00cb420-3059-425e-abb5-f07c6adb92a2,mahdieh.abbasi.1@ulaval.ca,Mahdieh,Abbasi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,https://mahdaneh.github.io/,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d00cb420-3059-425e-abb5-f07c6adb92a2/resume,,,,,,2020-09-15T19:39:42.822Z,2020-09-15T19:39:42.845Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Post Graduate Affiliate,,Already Graduated,Graduate student at Université Laval,Mrs.,https://www.linkedin.com/in/mahdieh-abbasi-2ba84b44/?originalSubdomain=ca,,Postgraduate Degree (PhD),Senior Level (5+ Years),Electrical and Computer Engineering,"Health, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Contract",,Other,True,True,True,True +c33d353f-d455-47de-98e8-14f25e2f74cb,a.m.amani@hotmail.com,Amir Mahdi,Amani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-11-08T19:23:46.405Z,2020-11-08T19:23:46.438Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,Through web,Mr.,https://www.linkedin.com/in/amirmahdiamani/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),B.S. Computer Engineering,"Technology (Information and Media), Technology (Product Development)","Full Time, Internship",,Other,True,False,True,True +9afe1198-b686-461b-9ff8-1f3bb6b57d2d,joe.zhengong@hotmail.com,Joe,Gong,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-01-10T19:20:32.630Z,2021-01-10T19:48:34.717Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/joe-zhen-gong/,,,,,,,,,True,True,True,True +46314f11-0fae-416d-85c6-f6cbc043a0ef,sam.agarwal@mail.utoronto.ca,Samarth,Agarwal,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-08-09T07:10:49.912Z,2020-08-09T07:10:49.932Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,"Undergraduate from University of Toronto in Mathematics, Statistics and Computer Science",Mr.,https://www.linkedin.com/in/samarth-agarwal/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),"Mathematics, Statistics and Computer Science","Financial Services, Software, Technology (Information and Media), Technology (Product Development)",Full Time,,University of Toronto,True,True,True,True +22dbcce6-4d8c-4bf9-818e-8354997142ad,austin_chen@foxmail.com,Austin,Chen,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-09-20T15:55:42.464Z,2020-09-20T15:55:42.489Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/austinchencym/,,Graduate Degree (Masters),Mid-Level (3-5 Years),MEng in Information Engineering,"Retail, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Contract",,University of Toronto,True,True,True,True +0a014d2b-d39c-4695-913f-5ba01f1c1acc,fateme@cs.toronto.edu,Fateme Sadat,Haghpanah,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,PhD Student at University of Toronto,,6478682132,,,,https://www.linkedin.com/in/fateme-sadat-haghpanah-b2b59a90/,FatemeHaghpanah,True,False,https://canadaai.jobboard.io/api/v1/profiles/0a014d2b-d39c-4695-913f-5ba01f1c1acc/resume,Toronto,Ontario,,Canada,,2021-10-14T18:50:50.587Z,2022-08-30T13:49:34.990Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Michael Brudno,Spring/Summer 2023 (April - July),,Mrs.,https://www.linkedin.com/in/fateme-sadat-haghpanah-b2b59a90/,"Computer vision, Deep learning, Healthcare and/or medical imaging, Interpretability",Graduate Degree (Masters),Entry Level (0-2 Years),PhD in Computer Science,"Health, Professional Services (e.g Consulting)","Full Time, Internship","Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +514acdf0-3185-49d0-abfc-acb92b500a09,mary.rassam@mail.utoronto.ca,Mary,Rassam,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/mary-rassam-5a980624b/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/514acdf0-3185-49d0-abfc-acb92b500a09/resume,,,,,,2022-09-21T20:23:32.309Z,2022-09-21T20:51:11.101Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Miss.,linkedin.com/in/mary-rassam-5a980624b/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Health Informatics,"Health, Public Administration (i.e Gov't), Retail, Technology (Information and Media), Transportation",Internship,"Data Analyst, Data Scientist, Product/Project Manager, Other ",University of Toronto,True,False,True,True 70fedac9-ff89-4645-afff-01fac9a95f19,17drs3@queensu.ca,Dean,Sacoransky,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,MASc Candidate and Research Student,MASc candidate in Computer Engineering at Queen's University. I am a member of the Offroad Robotics research group at Ingenuity Labs. My research is focused on all-weather autonomous vehicle path estimation and localization. Using automotive radar sensors and artificial intelligence for robust perception.,6479804640,,https://offroad.engineering.queensu.ca/people/dean-sacoransky/,,https://www.linkedin.com/in/dean-sacoransky-6a671119a/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/70fedac9-ff89-4645-afff-01fac9a95f19/resume,Toronto,Ontario,,Canada,,2022-08-24T17:33:15.736Z,2023-05-25T18:19:59.561Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/dean-sacoransky-6a671119a/,"Computer vision, Deep learning, Robotics",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Applied Science - Electrical and Computer Engineering,"Software, Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True 998fa914-f943-44f8-a073-3338e92ca147,mmkshira@uwaterloo.ca,Mohammad,Shirazi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,9052266510,,,,,,False,False,,Waterloo,Ontario,,Canada,,2022-09-20T15:13:53.981Z,2023-06-06T14:08:26.767Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/mmkshirazi/,,Graduate Degree (Masters),Mid-Level (3-5 Years),MMATH Data Science,,"Internship, Co-op, Contract","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Waterloo,True,True,True,True 8bf95f83-0d91-4ad1-a836-787ddb1d4022,ashima.singhal@rotman.utoronto.ca,Ashima,Singhal,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,https://github.com/ashimasinghal,,https://www.linkedin.com/in/ashima-singhal/,,False,False,,,,,,,2023-01-19T04:07:34.117Z,2023-01-26T17:11:34.725Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Spring/Summer 2023 (April - July),,Ms.,https://www.linkedin.com/in/ashima-singhal/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,,Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True @@ -4014,7 +4050,6 @@ c514ef95-9cb6-42d6-b3f9-032d2ef4630a,yuchongz.zhang@mail.utoronto.ca,Yuchong,Zha 6b47c4f2-e653-485b-96b5-1dcdaa6a6ddb,leoxu@yorku.ca,Leo,Xu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/leo-xiaolu-xu-frm-mfin-02b4b259/,,True,False,,,,,,,2023-05-24T17:06:28.907Z,2023-05-25T17:10:16.231Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/leo-xiaolu-xu-frm-mfin-02b4b259/,,,,,,,,,True,True,True,True 30e42fc0-7dde-4a7c-9af4-f73863321dab,oliver@oea.digital,Oliver,Aygun,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/oaygun/,,True,False,,,,,,,2023-05-24T17:06:28.325Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/oaygun/,,,,,,,,,,,, dd5e6c90-0aa5-44d7-b1a7-f4094396e6db,issam@cs.toronto.edu,Issam,Arabi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,4168754150,,,,https://linkedin.com/in/issamarabi,,True,False,https://canadaai.jobboard.io/api/v1/profiles/dd5e6c90-0aa5-44d7-b1a7-f4094396e6db/resume,,,,,,2023-05-21T00:07:26.768Z,2023-05-21T00:07:26.808Z,True,True,Not Affiliated with Vector,No,Other Vector Programming,,Fall 2023 (August - November),,Mr.,https://linkedin.com/in/issamarabi,"Natural language processing, Reinforcement learning, Transfer learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science,,"Full Time, Internship, Co-op, Contract, Capstone Project","Data Engineer, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True -109e9623-447d-4258-b11a-244270bc642f,yshah025@uottawa.ca,Yasaman,Shahrasbi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,3435580458,,,,https://www.linkedin.com/in/yaciish/,,False,False,,Ottawa,Ontario,,Canada,,2021-08-24T21:14:46.319Z,2023-05-28T05:10:13.886Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Fall 2022 (August - November),,Miss.,https://www.linkedin.com/in/yaciish/,"AI safety, Anomaly detection, Data science, Deep learning, Fairness, Healthcare and/or medical imaging, Interpretability, Law, ethics and policy, Machine learning, Natural language processing, Online learning, Privacy, anonymity, and/or security, Self-supervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science with Concentration in Applied Artificial Intelligence,"Financial Services, Health, Retail, Type of Work is More Important to me than Sector","Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Ottawa,True,True,True,True 38b372bf-5ca2-40c9-966d-30b3868e9f91,farnoushazour95@gmail.com,Farnoosh,Azour,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/farnoosh-azour-72078a125/,,True,False,,,,,,,2023-03-31T15:41:40.710Z,,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/farnoosh-azour-72078a125/,,,,,,,,,,,, b81bfd6d-c7e7-4653-83bc-fc7ba29a9042,21gy9@queensu.ca,Grace,Yau,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/grace-yau-yyc,,True,False,,,,,,,2023-03-31T15:41:40.892Z,,False,False,Recognized Masters Program,Yes,,,,,,www.linkedin.com/in/grace-yau-yyc,,,,,,,,,,,, a1e307d5-f83d-4819-a292-1276d77ced8a,sravanthi.naupada@gmail.com,Lakshmi,sravanthi Naupada,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/lakshmi-naupada-5125093a/,,True,False,,,,,,,2023-03-31T15:41:41.173Z,,False,False,,,,,,,,,,,,,,,,,,,, @@ -4032,9 +4067,15 @@ c25bee68-fca3-4898-b75b-89121656c84b,kyaw.jobs@gmail.com,Kyaw Kyaw,Oo,https://ta c2c35842-4e4b-4574-b4f5-84c3516e18bb,vchang24@uwo.ca,Vicky,Chang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,MSc Student,,4168986056,,,,,,False,False,,,,,,,2023-01-27T19:34:05.134Z,2023-02-13T15:45:20.150Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Dr. Mark Daley,Spring/Summer 2024 (April - July),,Ms.,N/A,"Bayesian methods, Computational biology, Neuroscience",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Interdisciplinary Medical Sciences,Health,Internship,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Western University,True,True,True,True b9249730-736d-408c-a14b-965e026aaecc,edwinonyia41@yahoo.com,Nonso,Onyia,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-05-12T14:22:36.427Z,,False,False,Recognized Masters Program,Yes,,,,,,http://www.linkedin.com/in/nonsoo,,,,,,,,,,,, 44edd23c-a42d-45d6-9c14-e7d59f1be287,fathian@ualberta.ca,Ramin,Fathian,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/rfathian/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/44edd23c-a42d-45d6-9c14-e7d59f1be287/resume,,,,,,2023-04-25T15:09:37.933Z,2023-06-19T06:03:34.335Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Student or Postdoc of a Vector Faculty Member,Dr. Frank Rudzicz,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/rfathian/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Engineering,"Health, Professional Services (e.g Consulting), Technology (Product Development)","Full Time, Internship","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True -b6ff1d98-b3ee-451e-b0b3-ad31f84ce9f0,sadiyashaikh62@gmail.com,Sadiya ,Shaikh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b6ff1d98-b3ee-451e-b0b3-ad31f84ce9f0/resume,,,,,,2023-04-08T06:37:10.281Z,2023-06-21T23:02:29.272Z,True,True,Other Vector Programming,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,I'm currently in vector caregiver AI program,Mrs.,N/A,"Data science, Machine learning, Online learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer science,"Education, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",Other,True,True,True,True 8aacaf4a-6053-4a95-a2b8-ab3f28fb9149,tliu157@uottawa.ca,Liu,Tianran,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,"I am a master's student ECE-Applied AI, University of Ottawa, my research focus on 3D object detection by Lidar and RGB data, text detection in natural scenes, and the application of GNN in CV and data mining task. I ranked top 10% in GPA during my undergraduate study and my dissertation was awarded 'The Outstanding thesis award of Anhui Province'. I am very interested in the related internship and any research position in the summer of 2022. ",3432971015,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8aacaf4a-6053-4a95-a2b8-ab3f28fb9149/resume,Ottawa,Ontario,,Canada,,2021-10-20T22:12:09.583Z,2023-02-03T23:58:13.578Z,False,False,Recognized Masters Program,Yes,Vector Scholarship Recipient,Ontario,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/tianran-liu-0311011a5/,"Computer vision, Deep learning, Graphical models",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Applied Science Electrical and Computer Engineering with Concentration in Applied Artificial Intelligence,"Software, Technology (Information and Media), Technology (Product Development)",Internship,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Ottawa,True,True,True,True -eddc43bb-4375-4127-9e13-1a8c89830ec1,iman.javadi@uottawa.ca,Iman,Javadi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,False,False,,,,,,,2021-06-02T13:19:21.385Z,2022-12-15T21:07:03.866Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/iman-javadi-666669179/,,,,,,,,,True,,True,True +b6ff1d98-b3ee-451e-b0b3-ad31f84ce9f0,sadiyashaikh62@gmail.com,Sadiya ,Shaikh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b6ff1d98-b3ee-451e-b0b3-ad31f84ce9f0/resume,,,,,,2023-04-08T06:37:10.281Z,2023-06-21T23:02:29.272Z,True,True,Other Vector Programming,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,I'm currently in vector caregiver AI program,Mrs.,N/A,"Data science, Machine learning, Online learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer science,"Education, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",Other,True,True,True,True +3d527621-a888-4c9b-8d3d-31f57039f2c8,pmodi8@uwo.ca,Preet,Modi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/preet-modi/,,True,False,,,,,,,2022-09-21T20:23:22.855Z,2022-12-22T19:04:25.691Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/preet-modi/,"Computer vision, Data science, Deep learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Analytics (MDA) Specialization in Artificial Intelligence,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Western University,True,True,True,True +e3d98c8f-eeaa-4f45-a920-ebbd623bd538,khoasimon99@gmail.com,Khoa ,Tran,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,http://github.com/tlminhkhoa,,https://linkedin.com/in/tlminhkhoa/,,True,False,,,,,,,2023-01-01T02:17:13.604Z,2023-01-07T00:05:15.309Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,YorkU Lassonde School of Engineering,Spring/Summer 2023 (April - July),,Mr.,https://linkedin.com/in/tlminhkhoa/,"Data science, Machine learning, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),computer science specialized in artificial intelligence,"Financial Services, Technology (Information and Media), Technology (Product Development)",Internship,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",York University,True,True,True,True +e8ede928-6b5d-4c62-921b-8178c827c65d,yinzhou.qi@uwaterloo.ca,Yinzhou,Qi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Scientist,,4168296580,,,,https://www.linkedin.com/in/yinzhou-qi-46995a192/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e8ede928-6b5d-4c62-921b-8178c827c65d/resume,Waterloo,Ontario,,Canada,,2021-12-22T19:56:31.915Z,2022-09-21T20:17:44.750Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/yinzhou-qi-46995a192/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Data Science & AI (MDSAI),"Financial Services, Professional Services (e.g Consulting)","Full Time, Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",University of Waterloo,True,True,True,True +a5181192-a873-48c8-9466-ec0d242b3882,verafhill@gmail.com,Vera,Hill,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a5181192-a873-48c8-9466-ec0d242b3882/resume,,,,,,2023-07-06T01:37:40.246Z,2023-07-06T01:37:40.285Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,UofT GPLLM Innovation and Technology,Spring/Summer 2024 (April - July),,Ms.,N/A,"Healthcare and/or medical imaging, Robotics, Transfer learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Senior Level (5+ Years),"Innovation, Technology and Law","Health, Technology (Product Development)",Full Time,"Product/Project Manager, Other ",University of Toronto,True,True,True,True +eddc43bb-4375-4127-9e13-1a8c89830ec1,iman.javadi@uottawa.ca,Iman,Javadi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-06-02T13:19:21.385Z,2023-06-30T15:55:58.484Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/iman-javadi-666669179/,,,,,,,,,True,,True,True +109e9623-447d-4258-b11a-244270bc642f,yshah025@uottawa.ca,Yasaman,Shahrasbi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,3435580458,,,,https://www.linkedin.com/in/yaciish/,,False,False,,Ottawa,Ontario,,Canada,,2021-08-24T21:14:46.319Z,2023-05-28T13:10:04.444Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Fall 2022 (August - November),,Miss.,https://www.linkedin.com/in/yaciish/,"AI safety, Anomaly detection, Data science, Deep learning, Fairness, Healthcare and/or medical imaging, Interpretability, Law, ethics and policy, Machine learning, Natural language processing, Online learning, Privacy, anonymity, and/or security, Self-supervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science with Concentration in Applied Artificial Intelligence,"Financial Services, Health, Retail, Type of Work is More Important to me than Sector","Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Ottawa,True,True,True,True +a09de595-9dc4-46bd-85f0-e5d6ccc00d62,atharvajaaa@gmail.com,Atharva,Joglekar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,7059884930,,,,https://www.linkedin.com/in/atharva-joglekar-b433b11ab/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/a09de595-9dc4-46bd-85f0-e5d6ccc00d62/resume,Sudbury,Ontario,,Canada,,2023-07-11T06:52:47.513Z,2023-07-11T06:52:47.546Z,True,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,Maharashtra,Spring/Summer 2024 (April - July),,Mr.,https://www.linkedin.com/in/atharva-joglekar-b433b11ab/,"Computer vision, Data science, Game theory",Graduate Degree (Masters),Entry Level (0-2 Years),MSc Computational Science,Software,"Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Laurentian University,True,True,True,True d71cf793-3a32-4033-b929-7c54dfa5975e,mona.davies@vectorinstitute.ai,Mona,Davies,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-11-18T22:05:29.948Z,,False,False,Internal Staff,Yes,,,,,,https://www.linkedin.com/in/mona-davies-05428532/,,,,,,,,,,,, 6ae65b90-b796-4d20-8b3d-e88f609a4015,jackie.zurborg@vectorinstitute.ai,Jackie,Zurborg,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-11-18T22:05:30.626Z,,False,False,Internal Staff,Yes,,,,,,https://www.linkedin.com/in/jackiezurborg/,,,,,,,,,,,, 712bcba8-0955-4f8f-b1b3-1e89afd9eaa7,hafsa.hsnn@gmail.com,Hafsa,Hasan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-03-07T20:05:23.488Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/hafsa-h-675935122/,,,,,,,,,,,, @@ -4239,9 +4280,6 @@ fdcb8acd-3615-4606-816e-4f56dbde1d6f,nadia.maarfavi@ontariotechu.net,Nadia,Maarf 1e142d0e-f316-4c58-9b5c-08f75bc923b3,chui69@uwo.ca,Victor,Hui,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-20T15:14:58.877Z,2023-01-25T16:38:29.458Z,False,False,Recognized Masters Program,Yes,,,,,,N/A,,,,,,,,,True,,True,True 827b99dd-bdef-4d55-a1cd-2f75ecb25f0a,sbinsaji@uwaterloo.ca,Saurav,Bin Saji,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-01-27T19:34:04.951Z,,False,False,Other Vector Programming,Yes,,,,,,https://www.linkedin.com/in/saurav-saji-107534160,,,,,,,,,,,, a7936d67-a6e5-4fe1-ae6a-bfda22c3cdeb,zunayed.mahmud@queensu.ca,Zunayed,Mahmud,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6134497506,,,,https://www.linkedin.com/in/zmraktim/,,True,False,,Kingston,Ontario,,Canada,,2023-01-18T19:03:01.194Z,2023-01-27T21:17:18.783Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/zmraktim/,"Computer vision, Deep learning, Transfer learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Applied Science,"Financial Services, Health, Retail, Technology (Information and Media), Technology (Product Development), Transportation","Full Time, Contract","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,False,True,True -4c695b72-b5bd-4c0b-9da0-ecfa815ae045,sharmavasudev1998@gmail.com,Vasudev,Sharma,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-11-09T21:33:04.097Z,2023-01-16T00:17:56.406Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,,,,https://linkedin.com/in/vs74,,,,,,,,,True,True,True,True -59246e1c-a7f4-4d02-9a67-18bc6f7edb48,paul.gv@outlook.com,Paul,G V,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Project Manager | Consultant ,"Project oriented individual who manages projects efficiently with time and cost management. Executing project manager who has created and executed digital projects for the organizations. Prophet project manager who has create new revenue streams for the organizations thus increasing their revenue by 35%. -",5197294638,,,,https://www.linkedin.com/in/paul-gv/,,True,False,,,,,Canada,,2023-04-20T22:25:39.073Z,2023-04-20T22:25:39.139Z,True,True,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/paul-gv/,"AI safety, Anomaly detection, Fairness, Game theory",Graduate Degree (Masters),Mid-Level (3-5 Years),"Master of business, entrepreneurship, & Technology","Education, Financial Services, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development)",Full Time,"Business Analyst/Business Intelligence Analyst , Product/Project Manager",University of Waterloo,True,True,True,True db21f4a6-4aec-49fa-91b1-fa9b9179e461,nksreeni@uwaterloo.ca,Nanda Kishore,Sreenivas,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/db21f4a6-4aec-49fa-91b1-fa9b9179e461/resume,,,,,,2023-02-16T20:16:04.992Z,2023-02-16T20:16:05.031Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Kate Larson,Other/Undetermined,,Mr.,https://www.linkedin.com/in/nandakishore-s/,"Game theory, Reinforcement learning",Postgraduate Degree (PhD),Entry Level (0-2 Years),PhD,"Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development)","Internship, Co-op","Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",University of Waterloo,True,True,True,True a3231232-20ef-49fc-8630-55ce290ca177,rithikashvkmr@gmail.com,Rithika,Shivakumar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Science Graduate Student,,5197223982,,,,https://www.linkedin.com/in/rithika-shivakumar-53776614a/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/a3231232-20ef-49fc-8630-55ce290ca177/resume,Waterloo,Ontario,,Canada,,2023-01-18T19:02:59.637Z,2023-02-19T20:22:37.681Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Ms.,https://www.linkedin.com/in/rithika-shivakumar-53776614a/,"Anomaly detection, Data science, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Master in Data Science and Artificial Intelligence,"Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Waterloo,True,False,True,True 5ffc29ef-490f-4498-bab5-3f2af4003172,rathini.siva@queensu.ca,Rathini,Sivanandarajah,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,False,False,,,,,,,2021-02-13T16:22:39.994Z,2023-03-05T21:30:57.881Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2021,,Ms.,https://www.linkedin.com/in/rathini-siva-24037a14/,"Interpretability, Machine learning, Optimization, Unsupervised learning",Graduate Degree (Masters),Senior Level (5+ Years),Master of Management Analytics,"Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Product Development)",Full Time,,Queen's University,True,True,True,True @@ -4254,6 +4292,9 @@ ebaeba89-d551-4232-b17d-3c7e6b1e1e35,cathykk730@gmail.com,kexin,wang,https://tal 15cc7ccb-f28c-471f-a682-8223e4748162,22srm6@queensu.ca,Romina,Mireskandari,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-01-13T21:14:56.258Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/s-romina-mireskandari-b5bbaa251/,,,,,,,,,,,, 9cd2c95c-0cb6-4cf1-815f-5fd1fcdce140,djjbxxz@gmail.com,Junjie,Deng,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-01-13T21:14:55.513Z,2023-01-13T21:40:57.286Z,False,False,Recognized Masters Program,Yes,,,,,,N/A,,,,,,,,,True,False,True,True 716088e5-83d5-4aaf-bf8b-ac66d5c110af,samruddhi.hadkar@outlook.com,Sam,H,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,Toronto,Ontario,,Canada,,2022-07-20T12:37:31.820Z,2023-04-05T12:54:18.185Z,False,False,Not Affiliated with Vector,No,Other Vector Programming,,Already Graduated,,Ms.,N/A,"Neuroscience, Robotics, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),cs,"Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Researcher/Scientist , Product/Project Manager",Other,True,False,True,True +4c695b72-b5bd-4c0b-9da0-ecfa815ae045,sharmavasudev1998@gmail.com,Vasudev,Sharma,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-11-09T21:33:04.097Z,2023-01-16T00:17:56.406Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,,,,https://linkedin.com/in/vs74,,,,,,,,,True,True,True,True +59246e1c-a7f4-4d02-9a67-18bc6f7edb48,paul.gv@outlook.com,Paul,G V,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Project Manager | Consultant ,"Project oriented individual who manages projects efficiently with time and cost management. Executing project manager who has created and executed digital projects for the organizations. Prophet project manager who has create new revenue streams for the organizations thus increasing their revenue by 35%. +",5197294638,,,,https://www.linkedin.com/in/paul-gv/,,True,False,,,,,Canada,,2023-04-20T22:25:39.073Z,2023-04-20T22:25:39.139Z,True,True,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/paul-gv/,"AI safety, Anomaly detection, Fairness, Game theory",Graduate Degree (Masters),Mid-Level (3-5 Years),"Master of business, entrepreneurship, & Technology","Education, Financial Services, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development)",Full Time,"Business Analyst/Business Intelligence Analyst , Product/Project Manager",University of Waterloo,True,True,True,True eb00dd9d-7410-44f6-a553-d10c7b4b86c4,yuep@uoguelph.ca,Pengfei,Yue,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Master’s student in applied mathematics with a focus in AI/ML,,2042972485,,,,https://www.linkedin.com/in/maxwell-yue,,False,False,https://canadaai.jobboard.io/api/v1/profiles/eb00dd9d-7410-44f6-a553-d10c7b4b86c4/resume,,Ontario,,Canada,,2023-01-27T19:34:04.758Z,2023-02-08T00:10:31.436Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2024 (April - July),,Mr.,www.linkedin.com/in/maxwell-yue-037016212,"Game theory, Meta-learning, Optimization",Graduate Degree (Masters),Entry Level (0-2 Years),MSc. in Mathematics with a Specialization in AI/ML,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Guelph,True,True,True,True bae34415-bd8e-4e87-822a-542ce1070300,amirhesam.salimnia@gmail.com,Amir Hesam,Salimnia,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-09-10T17:42:58.107Z,2023-01-20T21:46:25.094Z,False,False,Vector Scholarship Recipient,Yes,,,,,,https://www.linkedin.com/in/amirhesamsalimnia/,,,,,,,,,True,,True,True b54274f1-9505-421c-b682-7cfbfdeac1b1,zhangchenzz0329@gmail.com,chen,zhang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6475182957,,,,https://www.linkedin.com/in/355991248,,False,False,https://canadaai.jobboard.io/api/v1/profiles/b54274f1-9505-421c-b682-7cfbfdeac1b1/resume,,,,,,2022-08-09T22:44:36.903Z,2023-02-22T17:54:04.863Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Fall 2023 (August - November),,Mr.,N/A,,Graduate Degree (Masters),Entry Level (0-2 Years),Data science,"Professional Services (e.g Consulting), Retail, Technology (Information and Media), Transportation","Internship, Co-op","Data Analyst, Data Scientist",University of Guelph,True,True,True,True @@ -4274,20 +4315,38 @@ f395c87c-f0ee-4c86-8040-08e7b580202a,22cb22@queensu.ca,Pulkit,Satija,https://tal 76bdb88d-855e-4115-a800-a27b44027c7e,wencifilia@outlook.com,Wency(Yuexin),Jiang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/wency-jiang-77959026b/,,True,False,,,,,,,2023-03-31T15:41:43.401Z,,False,False,,,,,,,,,,,,,,,,,,,, b844381f-7bcc-4b22-9bfd-011d7be1cbb8,limin.ma@ontariotechu.net,Limin,Ma,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,MSc (Computer Science) Student at Ontario Tech University,,,,https://github.com/liminma,,https://linkedin.com/in/liminma2021,,False,False,,Toronto,Ontario,,Canada,,2021-12-22T19:56:25.674Z,2023-05-01T14:58:05.225Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://linkedin.com/in/liminma2021,"Data science, Machine learning",Graduate Degree (Masters),Senior Level (5+ Years),Computer Science,Type of Work is More Important to me than Sector,"Full Time, Contract","Data Engineer, Machine Learning Engineer, Software Engineer",OntarioTech University,True,True,True,True 6544ee6e-a546-47e4-aeba-feb9e6413daa,siddiq81@uwindsor.ca,Nazia,Siddiqui,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6544ee6e-a546-47e4-aeba-feb9e6413daa/resume,,,,,,2022-04-20T01:17:21.163Z,2023-05-10T15:43:12.422Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Fall 2022 (August - November),,Miss.,https://www.linkedin.com/in/nazia-siddiqui-4bb477138/,"Adversarial learning, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),MSc Computer Science,"Technology (Information and Media), Technology (Product Development)",Contract,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Other ",University of Windsor,True,True,True,True -7720a7b9-47e9-4665-b4ed-98b7b61fe630,jyothirmayeenaga01@gmail.com,Naga Jyothirmayee,Dodda,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/nagajyothirmayeedodda/,,True,False,,,,,,,2021-10-19T05:43:30.485Z,2023-04-18T22:37:57.367Z,False,False,Recognized Masters Program,Yes,Vector Scholarship Recipient,,Other/Undetermined,,Ms.,https://www.linkedin.com/in/nagajyothirmayeedodda/,"Computer vision, Machine learning, Recommender systems, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Masters in Computer Science with AI Specialization,"Financial Services, Retail","Full Time, Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Windsor,True,True,True,True -5c26ae94-4e29-4439-8881-f8f86118cdbf,harrimawusi@gmail.com,Harrison,Mawusi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://linkedin.com/in/harry-junior,,True,False,,,,,,,2023-03-31T15:41:41.002Z,2023-04-01T16:38:56.341Z,False,False,Vector Scholarship Nominee,Yes,,,,,,https://linkedin.com/in/harry-junior,,,,,,,,,True,True,True,True -871e9ee7-e748-406d-9810-67c192c5ad68,rpshah.98@gmail.com,Rishi,Shah,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/rishi-shah-0317/,,True,False,,,,,,,2023-05-24T17:06:29.626Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/rishi-shah-0317/,,,,,,,,,,,, -764b41f9-fc55-48a8-9d7d-7180c2e57b67,shabnam.haghzare@mail.utoronto.ca,Shabnam,Haghzare,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-12-22T19:56:28.261Z,,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/ShabnamHaghzare/,,,,,,,,,,,, -e0d93840-e392-41ee-9021-b8496e2ac448,augustosuarez22@gmail.com,Cesar ,Suarez,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/caugustosuarez/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e0d93840-e392-41ee-9021-b8496e2ac448/resume,,,,,,2023-05-19T12:17:16.639Z,2023-05-19T12:17:16.678Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/caugustosuarez/,"Interpretability, Natural language processing, Statistical learning theory",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Computer Science major. Mathematics minor. Statistics minor,"Construction or Infrastructure, Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,False,True,True -22466bee-b439-4156-bcb0-cb2c4765dcf9,adorin.klucas@gmail.com,Adorin,Kripanand Lucas,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Graduate student,,3439885244,,,,https://www.linkedin.com/in/adorin-kripanand-lucas/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/22466bee-b439-4156-bcb0-cb2c4765dcf9/resume,Ottawa,Ontario,,Canada,,2022-09-09T12:59:55.308Z,2023-02-01T22:23:43.761Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Winter 2024 (December 2023 - March 2024),,Miss.,https://www.linkedin.com/in/adorin-kripanand-lucas-75b4161a8/,"Data science, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Computer Science - specialization in Artificial Intelligence,"Financial Services, Retail, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Internship, Co-op","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Software Engineer",University of Ottawa,True,True,True,True -14297301-7f14-489a-b8a2-7dbe19b1e3fc,yiweiliu@yorku.ca,Amber,Liu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-01-13T20:27:29.955Z,2023-05-15T02:04:34.375Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/yiwei-liu-70a2861b9/,,,,,,,,,True,False,True,True -c088e9cd-cada-4720-b0af-1da4623ea794,tanmayd289@gmail.com,Tanmay,Daulatwal,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/tanmay-daulatwal/,,True,False,,,,,,linkedin,2023-03-24T12:15:31.701Z,2023-05-10T03:08:12.523Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/tanmay-daulatwal/,,,,,,,,,True,True,True,True -4be1d021-a897-49dd-9f4d-b9cb6cecf9e2,viethuy25@gmail.com,Gia Viet Huy,Nguyen,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-09T13:00:00.238Z,2022-09-09T13:11:38.718Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/huy-nguyen-04782414a/,,,,,,,,,True,False,True,True -98ffc64b-3f63-4c64-81eb-c2bc88bb408c,ghasrlo@uwindsor.ca,Hamed,Ghasr Loghmani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,M.Sc. Student,,2267889986,,,,https://www.linkedin.com/in/hamed-loghmani-a23905184/,,True,False,,Windsor,Ontario,,Canada,,2022-09-09T13:00:03.359Z,2022-09-09T14:07:19.747Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2024 (April - July),,Mr.,N/A,"Bioinformatics, Healthcare and/or medical imaging, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),M.Sc. Computer Science (AI Stream),"Education, Health, Technology (Information and Media)","Full Time, Internship, Co-op","Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Windsor,True,True,True,True -d6f45b36-f957-40f6-9167-4c21885ff48c,lsikstro@uwo.ca,Lee,Sikstrom,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6475297764,,,,https://linkedin.com/in/lee-sikstrom-a6472a113,,True,False,,London,Ontario,,Canada,,2022-09-20T15:14:59.461Z,2022-09-22T00:23:33.924Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2024 (April - July),,Mr.,linkedin.com/in/lee-sikstrom-a6472a113,"Bioinformatics, Healthcare and/or medical imaging, Physics",Graduate Degree (Masters),Entry Level (0-2 Years),Medical Biophysics with a Machine Learning Specialization,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op","Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",Western University,True,True,True,True -aaa2aa68-d51c-404e-8faf-08209c136e62,deneyew@uwo.ca,Dagimawi,Eneyew,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-02-09T17:46:50.181Z,2022-06-21T20:13:11.043Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/dagimawi-d-eneyew-104675103,,,,,,,,,True,True,True,True -5997e70a-50a5-4c76-9a8e-6ddb83ffdf60,achesolo@gmail.com,Solomon,Acheampong,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-07-30T12:32:55.862Z,2022-07-30T12:32:55.911Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/solomon-acheampong-527742123,"Computer vision, Optimization, Reinforcement learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Engineering Science,"Construction or Infrastructure, Manufacturing , Software, Technology (Product Development), Transportation","Full Time, Internship, Contract, Capstone Project","Data Scientist, Software Engineer",Laurentian University,True,True,True,True -bf476f8e-2ccc-41a1-8b7e-3f525067d207,v37wang@uwaterloo.ca,Victoria,Wang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-09T12:59:58.236Z,2022-09-09T20:42:50.704Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/vw22/,,,,,,,,,True,True,True,True +8e428a25-9373-434f-b8e6-ca2c664b9a60,aabroozubair@gmail.com,Aabroo,Zubair,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Manager,"I'm a dedicated AI student currently pursuing a Master's degree in Computer Science with a specialization in Artificial Intelligence at Ryerson University. With a strong focus on AI, I'm passionate about leveraging machine learning to solve complex problems and enhance efficiency. + +Currently, I serve as the Manager of Technical Solutions where my responsibilities span across: +1. Problem-solving and product enhancement +2. Tackle complex client issues related to APIs, perform custom code reviews, and engage in comprehensive troubleshooting +3. Frequent communication with clients to understand their technical difficulties related to our products and working closely with the development team to devise effective solutions. + +As a professional: +1.Proficient in programming languages including Python +2. Firm grasp on machine learning libraries and frameworks such as TensorFlow, PyTorch, and Scikit-learn. + +I'm now seeking a challenging role where I can continue to apply and enhance my skills, make a significant impact, and continue my journey in the exciting field of AI.",3658851414,,,,,,False,False,https://canadaai.jobboard.io/api/v1/profiles/8e428a25-9373-434f-b8e6-ca2c664b9a60/resume,Toronto,Ontario,,Canada,,2023-05-18T23:56:15.524Z,2023-06-05T13:50:35.080Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Winter 2023 (December 2022 - March 2023),,Mrs.,https://www.linkedin.com/in/aabroo-zubair-b0980461/,,Graduate Degree (Masters),Entry Level (0-2 Years),Masters in Computer Science with Specialization in AI,"Education, Financial Services, Health, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Ryerson University,True,True,True,True +02ae1241-41c6-48e0-bdb1-f21fd0796382,radarsh@uwo.ca,Riswin Deenadayalan ,Adarsh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,4167311246,,,,https://www.linkedin.com/in/radarsh01/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/02ae1241-41c6-48e0-bdb1-f21fd0796382/resume,,,,,,2021-11-08T00:57:16.350Z,2022-10-14T00:14:49.042Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/radarsh01/,"Adversarial learning, Data science, Healthcare and/or medical imaging, Machine learning, Natural language processing, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Analytics,"Financial Services, Health, Professional Services (e.g Consulting), Retail, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer",Western University,True,True,True,True +0499a042-74ee-4e24-9a13-860262e76cca,ryanzhou@gmail.com,Ryan,Zhou,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,PhD Student,"Currently doing research in machine learning, with a background engineering physics. I'm working on improving the efficiency of deep learning models through sparsity, with applications for computer vision and bioinformatics.",,,https://rzhou.ca/,,https://www.linkedin.com/in/ryan-zhou1/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/0499a042-74ee-4e24-9a13-860262e76cca/resume,,,,,,2021-09-10T17:42:49.593Z,2023-02-15T19:26:20.324Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Ting Hu,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/ryan-zhou-09853418a/,"Bioinformatics, Interpretability, Transfer learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computing,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True +5f78783f-bd75-4045-813b-cfae9489101e,yankuai.ma@mail.utoronto.ca,Yan,Ma,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Computer Vision Engineer,"Accumulated rich computer vision experiences involving semantic/instance segmentation, object detection, and vehicle re-identification. At the same time cared about model training efficiency with projects in visual model compression. Desired to deploy computer vision algorithms to mobile devices and see them come alive in robots and self-driving cars. + +",6472698630,,,,https://www.linkedin.com/in/yan-ma-b4b64b211/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/5f78783f-bd75-4045-813b-cfae9489101e/resume,Toronto,Ontario,,Canada,,2022-11-09T22:13:24.041Z,2023-05-25T17:46:58.627Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Winter 2024 (December 2023 - March 2024),,Miss.,https://www.linkedin.com/in/yan-ma-b4b64b211/,"Computer vision, Few-shot learning, Self-supervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),MSc in Applied Computing,"Manufacturing , Retail, Software, Technology (Information and Media), Transportation",Co-op,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +61bc0fb7-856b-439a-99f5-7dbb6f0fd03a,jainamshah2718@gmail.com,Jainam,Shah,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,False,False,,,,,,,2022-09-09T13:00:01.967Z,2023-05-25T18:40:03.566Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/jainam-shah-77152495/,,,,,,,,,True,False,True,True +b69f0327-5ae3-4b16-8421-baca2a00bd42,jiihwan.jeong@gmail.com,Jihwan,Jeong,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,"Hi, I'm a Ph.D. candidate and a member of the D3M (Data-Driven Decision-making) lab at University of Toronto working with Professor Scott Sanner. I started my research career as an AI/ML researcher since I was fascinated by the prospect of building tools that can aid and optimize various decision-making problems. I've worked on a variety of topics in the past 3 years, and the encompassing theme is ""robust decision-making with (learned) models"". These days, my main research interest is in offline model-based reinforcement learning. Specifically, I am very interested in how to use Bayesian models for robust planning at test time or for learning an effective policy, by taking the epistemic uncertainty of the model into account.",437-248-3429,,https://jihwan-jeong.netlify.app,,https://www.linkedin.com/in/jihwan-jeong-5301ab183/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/b69f0327-5ae3-4b16-8421-baca2a00bd42/resume,Toronto,Ontario,,Canada,,2022-10-08T20:40:25.336Z,2023-05-25T18:08:35.570Z,True,False,Connected to Vector Research,Yes,Other Vector Programming,Pascal Poupart,Spring/Summer 2024 (April - July),Vector Research Internship,Mr.,https://www.linkedin.com/in/jihwan-jeong-5301ab183/,"Bayesian methods, Machine learning, Natural language processing, Reinforcement learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Industrial Engineering,Type of Work is More Important to me than Sector,Full Time,Machine Learning Researcher/Scientist ,University of Toronto,True,False,True,True +9ba00ffb-cd00-4514-873b-b15646639452,flynnthomas974@gmail.com,Thomas,Flynn,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-08-14T23:12:50.711Z,2022-08-14T23:12:50.755Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/tpflynn/,"Adversarial learning, AI safety, Anomaly detection",Undergraduate Degree (Bachelors),Senior Level (5+ Years),Computer Science,"Education, Financial Services","Full Time, Internship","Data Analyst, Machine Learning Researcher/Scientist ",Brock University,True,True,True,True +86d1e279-2b03-4e57-b02e-cc7ad000132c,catcao19@gmail.com,Catherine,Cao,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,https://github.com/catcao19,,https://www.linkedin.com/in/catzhiling/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/86d1e279-2b03-4e57-b02e-cc7ad000132c/resume,,,,,,2021-06-02T13:19:21.165Z,2022-08-29T20:15:34.140Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Ms.,https://www.linkedin.com/in/catzhiling/,"Data science, Deep learning, Machine learning, Meta-learning, Natural language processing, Quantum computing",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management in Artificial Intelligence,"Financial Services, Technology (Information and Media), Technology (Product Development)","Full Time, Contract","Data Scientist, Machine Learning Engineer",York University,True,False,True,True +66bcfb44-15a4-46f3-a11b-939e7efd9331,21sl50@queensu.ca,Shuangyi,Liang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,2498746600,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/66bcfb44-15a4-46f3-a11b-939e7efd9331/resume,Toronto,Ontario,,Canada,,2022-03-07T20:05:26.323Z,2022-10-27T23:37:07.391Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Ms.,linkedin.com/in/shuangyi-liang-2550471b2,"Adversarial learning, Data science, Deep learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of management analytics,"Education, Financial Services, Health, Manufacturing , Technology (Information and Media), Technology (Product Development)","Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True +0641ec73-5bcb-4f1e-9926-d5e3e1edbf70,dandylewsky@gmail.com,Daniel,Dylewsky,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,"Postdoctoral Fellow, Applied Mathematics",,,,https://github.com/dylewsky/,,https://www.linkedin.com/in/daniel-d-9a79b2198/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0641ec73-5bcb-4f1e-9926-d5e3e1edbf70/resume,Kitchener,Ontario,,Canada,linkedin,2020-06-23T22:29:41.287Z,2022-09-23T16:52:30.721Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,Not affiliated,Dr.,https://www.linkedin.com/in/daniel-d-9a79b2198/,"Machine learning, Physics, Time-series forecasting and modelling",Postgraduate Degree (PhD),Senior Level (5+ Years),Physics (Research in Applied Mathematics),"Education, Health, Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Transportation, Type of Work is More Important to me than Sector","Full Time, Contract","Data Scientist, Machine Learning Researcher/Scientist ",Other,True,False,True,True +e90a31f1-8281-4b11-bae3-5dac3951d3eb,sdavis@uwindsor.ca,Sandra,Davis,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-09T21:01:53.831Z,2022-09-09T21:01:53.883Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Other/Undetermined,University of Windsor Co-op Office Co-op Co-ordinator,Ms.,https://www.linkedin.com/in/sandra-davis-02158853/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Applied Computing,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",University of Windsor,True,True,True,True +c642e2dc-afd4-4937-8569-10e05ced4016,micaela.consens@mail.utoronto.ca,Mica,Consens,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-08T17:00:08.345Z,2022-09-08T17:00:08.388Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,,Other/Undetermined,,Ms.,https://www.linkedin.com/in/micaela-consens-510487173/?originalSubdomain=ca,"Bioinformatics, Computational biology, Deep learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science,"Health, Software, Technology (Product Development)",Internship,Machine Learning Researcher/Scientist ,University of Toronto,True,True,True,True +89096557-b971-4b7e-aa77-ff7e6ed01600,feng.yufei@queensu.ca,YUFEI,FENG,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,PhD Candidate,,343-333-2594,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/89096557-b971-4b7e-aa77-ff7e6ed01600/resume,Kingston,Ontario,,Canada,,2020-09-17T16:54:28.399Z,2022-08-04T15:43:20.102Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Xiaodan Zhu,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/fengyufei/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),PhD,"Financial Services, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Queen's University,True,True,True,True +d4f8e1a3-78de-4580-9d11-a3188a5e32d5,pranshumalik14@gmail.com,Pranshu,Malik,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2022-09-20T17:13:45.829Z,2022-09-20T17:13:46.643Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/pranshu-malik/,,,,,,,,,True,True,True,True +3d697a44-aacf-44d5-8641-8408a71279c3,katyani@ualberta.ca,Katyani,Singh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,5879385297,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3d697a44-aacf-44d5-8641-8408a71279c3/resume,Edmonton,Alberta,,Canada,,2022-04-14T16:48:24.881Z,2022-07-23T21:44:10.031Z,False,False,Connected to Another AI Institute,Yes,Other/Unsure,,Spring/Summer 2023 (April - July),I am part of AMII which is associated with Vector.,Ms.,https://www.linkedin.com/in/katyanisingh/,"Adversarial learning, Computer vision, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Science (Computing Science) Thesis,"Financial Services, Health, Technology (Product Development)","Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True +c045a975-1fb3-4bf1-a7cd-010164e9f0be,rayanalim12@gmail.com,Rayan,Alim,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-08-31T17:18:19.799Z,2022-09-02T22:20:35.386Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/rayanalim/,,,,,,,,,True,True,True,True +50ab8c5f-cead-4a94-a6c5-a07c92b0a788,zbashir1@ualberta.ca,Zahra,Bashir,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Graduate Research Assistant,,8254366901,,,,https://www.linkedin.com/in/zahra-bashir-9a8488178/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/50ab8c5f-cead-4a94-a6c5-a07c92b0a788/resume,Edmonton,Alberta,,Canada,,2022-05-05T21:42:59.091Z,2022-09-27T23:21:53.120Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Ms.,https://www.linkedin.com/in/zahra-bashir-9a8488178/,"Machine learning, Privacy, anonymity, and/or security, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Education, Manufacturing , Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True +8cb5414b-fbb6-4073-b418-be07fd6b8656,sedaghat.tina@gmail.com,Tina,Sedaghat,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8cb5414b-fbb6-4073-b418-be07fd6b8656/resume,,,,,,2022-10-19T00:58:16.980Z,2022-10-20T21:14:24.223Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mrs.,https://www.linkedin.com/in/tinasedaghat/,"Machine learning, Time-series forecasting and modelling, Transfer learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,"Construction or Infrastructure, Education, Health, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Contract, Capstone Project","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,False,True,True +ffae2f6d-7686-4115-b8fc-833e6cedb5ab,eingowari@alumni.ubc.ca,Ingowari,Erenyanate,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-01-13T20:27:30.354Z,2022-09-06T04:31:11.943Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/ingowarierenyanate/,,,,,,,,,True,True,True,True d6ab905e-9286-4bb7-96b9-c4889397de04,svenn075@uottawa.ca,Sandeep Reddy,Venna,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Scientist; Data storyteller; Masters @uOttawa; ex-TCS Data Analyst and Python Developer,"• Master’s Degree in Electrical and Computer Engineering with Concentration in Applied Artificial Intelligence from the University of Ottawa. • Worked as a Data Scientist intern for uOttawa student collaboration and having three years of @@ -4314,12 +4373,13 @@ f8d1063a-2a3f-49e8-bc65-079a8b8f5fc3,kpsboonga@gmail.com,Karan Pal Singh,Boonga, 766fba28-686b-49a2-bc46-373bda0656a9,jiecai7@schulich.yorku.ca,Jie,Cai,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Master of Business Analytics Candidate,"As a Master of Business Analytics candidate, I am passionate about business analytics. In the era of big data, data is everywhere, but data by itself is meaningless. Organizations must take a data-driven approach to uncover valuable insights hidden in the data and utilize these insights to make sound business decisions. I am eager to help organizations bridge the gap between business and technology and transform the way business is done I believe my unique combination of quantitative skills, qualitative skills, business acumen, global mindset, and international exposure will add value to my future employer. ",,,,,https://www.linkedin.com/in/jie-cai/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/766fba28-686b-49a2-bc46-373bda0656a9/resume,,,,,,2019-12-02T17:43:13.292Z,2019-12-02T17:43:13.336Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/jie-cai/,,,,Master of Business Analytics,Financial Services,Full Time,,York University,True,True,True,True f391a015-2914-4193-95c8-a712c1efaf1c,thedavidchu@mail.utoronto.ca,David,Chu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6473547635,,,,https://www.linkedin.com/in/david-chu-51ba7017b/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f391a015-2914-4193-95c8-a712c1efaf1c/resume,Toronto,Ontario,,Canada,,2020-11-14T21:00:51.417Z,2020-11-14T21:00:51.480Z,False,False,Not Affiliated with Vector,No,Other/Unsure,Ontario,Already Graduated,I've come across it here and there.,Mr.,https://www.linkedin.com/in/david-chu-51ba7017b/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Machine learning engineering,"Education, Health, Software, Technology (Information and Media)","Internship, Co-op",,University of Toronto,True,False,True,True +d0edbd42-5b98-4477-86f5-3389b19d06fe,xshirley@schulich.yorku.ca,Ziquan,Xu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d0edbd42-5b98-4477-86f5-3389b19d06fe/resume,Toronto,Ontario,,Canada,,2021-09-19T20:18:08.410Z,2021-09-20T03:55:40.329Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/ziquan-xu-871a74116/,,Graduate Degree (Masters),Entry Level (0-2 Years),Management in Artificial Intelligence,"Financial Services, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",York University,True,False,True,True +bc85c6cc-fd18-41cd-a46e-c0b703d64152,haideraltahan@gmail.com,Haider,Al-Tahan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6476080751,,http://haideraltahan.com,,https://www.linkedin.com/in/haideraltahan/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/bc85c6cc-fd18-41cd-a46e-c0b703d64152/resume,,,,,linkedin,2021-10-21T23:01:11.671Z,2021-10-21T23:12:33.399Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,yalda mohsenzadeh,Already Graduated,,Mr.,https://www.linkedin.com/in/haideraltahan/,"Computer vision, Data science, Deep learning, Machine learning, Neuroscience, Self-supervised learning, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,Type of Work is More Important to me than Sector,"Full Time, Internship","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer, Other ",Western University,True,False,True,True 74fbfd96-88fc-41ab-bde0-664d59f38ba8,taha.hussein.fcih@gmail.com,Taha,Hussein,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-04-24T21:52:16.264Z,2022-04-24T21:52:16.323Z,False,False,Not Affiliated with Vector,No,Other/Unsure,NA,Already Graduated,,Mr.,N/A,,Undergraduate Degree (Bachelors),Senior Level (5+ Years),Computer Science,"Education, Manufacturing , Professional Services (e.g Consulting), Technology (Product Development), Telecommunications, Transportation","Full Time, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True -8cb5414b-fbb6-4073-b418-be07fd6b8656,sedaghat.tina@gmail.com,Tina,Sedaghat,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8cb5414b-fbb6-4073-b418-be07fd6b8656/resume,,,,,,2022-10-19T00:58:16.980Z,2022-10-20T21:14:24.223Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mrs.,https://www.linkedin.com/in/tinasedaghat/,"Machine learning, Time-series forecasting and modelling, Transfer learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,"Construction or Infrastructure, Education, Health, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Contract, Capstone Project","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,False,True,True -0641ec73-5bcb-4f1e-9926-d5e3e1edbf70,dandylewsky@gmail.com,Daniel,Dylewsky,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,"Postdoctoral Fellow, Applied Mathematics",,,,https://github.com/dylewsky/,,https://www.linkedin.com/in/daniel-d-9a79b2198/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0641ec73-5bcb-4f1e-9926-d5e3e1edbf70/resume,Kitchener,Ontario,,Canada,linkedin,2020-06-23T22:29:41.287Z,2022-09-23T16:52:30.721Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,Not affiliated,Dr.,https://www.linkedin.com/in/daniel-d-9a79b2198/,"Machine learning, Physics, Time-series forecasting and modelling",Postgraduate Degree (PhD),Senior Level (5+ Years),Physics (Research in Applied Mathematics),"Education, Health, Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Transportation, Type of Work is More Important to me than Sector","Full Time, Contract","Data Scientist, Machine Learning Researcher/Scientist ",Other,True,False,True,True -66bcfb44-15a4-46f3-a11b-939e7efd9331,21sl50@queensu.ca,Shuangyi,Liang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,2498746600,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/66bcfb44-15a4-46f3-a11b-939e7efd9331/resume,Toronto,Ontario,,Canada,,2022-03-07T20:05:26.323Z,2022-10-27T23:37:07.391Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Ms.,linkedin.com/in/shuangyi-liang-2550471b2,"Adversarial learning, Data science, Deep learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of management analytics,"Education, Financial Services, Health, Manufacturing , Technology (Information and Media), Technology (Product Development)","Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True 724d3dc5-95ec-434e-b29e-f15988c48ebb,aaronsumyh@gmail.com,Aaron,Sum,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/724d3dc5-95ec-434e-b29e-f15988c48ebb/resume,,,,,,2022-05-15T05:26:30.383Z,2022-05-15T05:26:30.414Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/aaronsum135813/,"Data science, Deep learning, Reinforcement learning",Graduate Degree (Masters),Mid-Level (3-5 Years),2021,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Transportation, Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True -d4f8e1a3-78de-4580-9d11-a3188a5e32d5,pranshumalik14@gmail.com,Pranshu,Malik,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2022-09-20T17:13:45.829Z,2022-09-20T17:13:46.643Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/pranshu-malik/,,,,,,,,,True,True,True,True +d2e5d32d-2b1e-4aa9-86be-a424f36e8176,aj971210@gmail.com,Abhishek,Joshi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,7059052506,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d2e5d32d-2b1e-4aa9-86be-a424f36e8176/resume,Toronto,Ontario,,Canada,,2022-03-05T07:09:50.756Z,2022-03-05T07:09:50.790Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Fall 2022 (August - November),Planning to join AI certificate course,Mr.,N/A,"Data science, Deep learning, Healthcare and/or medical imaging",Graduate Degree (Masters),Entry Level (0-2 Years),AI,,"Full Time, Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,False,True,True +8522b03d-94d6-40b4-a0ed-607afeb743cf,adam.gronowski@gmail.com,Adam,Gronowski,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2022-05-15T23:40:16.091Z,2022-05-15T23:40:16.109Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/adamgronowski/,,,,,,,,,True,True,True,True +0b43ce9a-dc89-46bc-9b76-e157f6d9acf1,nishi.patel2817@gmail.com,Nishi,Patel,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2019-12-06T04:11:11.184Z,2019-12-06T04:11:11.200Z,False,False,Recognized Masters Program,Yes,,,,,,Not Found,,,,,,,,,True,True,True,True 1a317645-893f-4ad9-8cb8-ddadb5fbc06c,tvenkate@uoguelph.ca,Tamizh selvan ,Venkatesan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Recent Graduate,"I am a Computer Science Masters graduate from University of Guelph, Canada. Highly passionate and specializing in the area of Artificial Intelligence, involving Evolutionary Computation and Machine Learning. Quick Summary -Programming skills: Java, Python, Julia, C++, C, SQL, HTML5, CSS3. @@ -4327,14 +4387,8 @@ Quick Summary -Android developer, primarily using Java and native Android studio IDE. -Backend RESTful API services built using Flask framework. Visit my portfolio site to know more about me and my projects: https://tamizh3110.github.io ",6477453110,,https://tamizh3110.github.io,,https://linkedin.com/in/tamizhselvan-venkatesan,,True,False,https://canadaai.jobboard.io/api/v1/profiles/1a317645-893f-4ad9-8cb8-ddadb5fbc06c/resume,Toronto,Ontario,,Canada,,2019-12-03T17:51:32.181Z,2020-09-24T04:25:30.428Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Mark Wineberg,Already Graduated,,Mr.,https://www.linkedin.com/in/tamizhselvan-venkatesan/,,Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Contract, Capstone Project",,University of Guelph,True,True,True,True -88b92a32-4f8e-4888-9bf3-9272d9ae5e3c,sunnyssj8@gmail.com,Matthew Immanuel,Samson,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,905 914 7022,,https://github.com/MatthewSamson/,,https://www.linkedin.com/in/matthew-immanuel-samson-094b56158,,True,False,https://canadaai.jobboard.io/api/v1/profiles/88b92a32-4f8e-4888-9bf3-9272d9ae5e3c/resume,Oshawa,Ontario,,Canada,linkedin,2019-12-03T19:05:27.100Z,2020-08-18T20:36:16.707Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/matthew-immanuel-samson-094b56158,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Science - Computer Science,"Construction or Infrastructure, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Contract",,University of Guelph,True,True,True,True -89286679-36e5-4a2e-9b42-27a15759f02a,objectdeveloper@gmail.com,Kevin,Wong,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,AI ENGINEER,10+ years of financial industry experience with effective End to End AI Solution.,4373743389,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/89286679-36e5-4a2e-9b42-27a15759f02a/resume,Richmond Hill,Ontario,,Canada,,2020-11-03T14:39:39.679Z,2020-11-03T14:39:39.737Z,False,False,Not Affiliated with Vector,No,Other/Unsure,--- choose country first ---,Already Graduated,,Mr.,N/A,,Undergraduate Degree (Bachelors),Senior Level (5+ Years),Computer Science,,Full Time,,University of Toronto,True,False,True,True -07e80116-ac3b-4724-a96a-07c8dfdbb7ad,mja2213@columbia.edu,Mark,Aksen,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-10-30T00:01:21.690Z,2020-10-30T00:01:21.710Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Winter 2021,,Mr.,https://www.linkedin.com/in/markaksen/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Statistics,"Financial Services, Health, Professional Services (e.g Consulting), Software",Full Time,,Other,True,True,True,True -2a64cfde-9d35-4010-b3a2-3147f769dbc6,dhamzeia@uwaterloo.ca,Donya,Hamzeian,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Masters student in Statistics,I am currently working on my Master's thesis and I am trying to develop a new topic modelling algorithm using bert. The dataset that I am working on is CORD19. ,2265059329,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2a64cfde-9d35-4010-b3a2-3147f769dbc6/resume,Toronto,Ontario,,Canada,,2020-09-04T14:57:47.192Z,2020-09-08T11:14:12.155Z,False,False,Connected to Vector Research,Yes,Other/Unsure,Professor Ghosdi,Already Graduated,My supervisor is a Vector affiliate,Mrs.,https://www.linkedin.com/in/donya-hamzeian-a7ba48130/,,Graduate Degree (Masters),Entry Level (0-2 Years),MMath in Statistics,"Health, Software, Technology (Product Development)","Full Time, Internship",,University of Waterloo,True,False,True,True -b9e6f56b-9284-4996-93b6-bcc8e878093e,alexandra.volokhova@utoronto.ca,Alexandra,Volokhova,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-09-17T16:53:45.067Z,2020-10-07T15:30:18.292Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/alexandra-volokhova-004598165/,,,,,,,,,True,True,True,True -050d0b5e-5d5a-4446-932c-29d6716e083f,20g1@queensu.ca,Geetanjali,.,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,4168273330,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/050d0b5e-5d5a-4446-932c-29d6716e083f/resume,Toronto,Ontario,,Canada,,2022-03-07T20:05:28.528Z,2022-03-07T20:36:54.530Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Ms.,https://www.linkedin.com/in/geetanjali30/,"Data science, Machine learning, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),Management Analytics,,Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",Queen's University,True,True,True,True -a2ae1ccf-9f8c-4ad7-9e2a-d2d9fe1dab94,shamil.saeed94@hotmail.com,Shamil,Saeed,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-08-24T00:34:15.277Z,2020-08-24T00:34:15.302Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,CA-ON,Already Graduated,,Mr.,https://www.linkedin.com/in/shamil-saeed-731b4654/,,Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Engineering Physics,"Health, Manufacturing , Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)",Full Time,,Queen's University,True,True,True,True -49494fd4-ad77-4d34-b7b4-158879bbea87,wsun03@uoguelph.ca,Wanrong,Sun,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6479688850,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/49494fd4-ad77-4d34-b7b4-158879bbea87/resume,Mississauga,Ontario,,Canada,,2020-09-24T02:04:53.145Z,2020-09-24T02:04:53.167Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mrs.,https://www.linkedin.com/in/wanrong-sun-051438102/,,Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Financial Services, Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op, Capstone Project",,University of Guelph,True,False,True,True +9623200d-b187-4ca0-9c89-35199b87b596,bichengxu1220@hotmail.com,Bicheng,Xu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Ph.D. Student in Computer Science,"Bicheng Xu is a Ph.D. student in Computer Science at the University of British Columbia. Previously, he received a Master of Science degree in Computer Science from the University of British Columbia, a Bachelor of Engineering degree in Computer Science and Technology from Zhejiang University, and a Bachelor of Science degree (with distinction) in Applied Sciences from Simon Fraser University with major in Computing Science and minor in Mathematics. His research interests are in Computer Vision, its intersection with Natural Language Processing, and Machine Learning. ",,,http://www.bicheng-xu.com/,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9623200d-b187-4ca0-9c89-35199b87b596/resume,Vancouver,British Columbia,,Canada,,2020-10-06T20:51:40.622Z,2020-10-06T20:51:40.646Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Leonid Sigal (University of British Columbia),Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/bicheng-xu-0724a1b3/,"Computer vision, Representation learning, Self-supervised learning",Postgraduate Degree (PhD),Entry Level (0-2 Years),Computer Science,"Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Internship, Capstone Project","Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True +0d2c4e75-9db5-42e2-afaa-c74dee28112a,themikewang1995@gmail.com,xu,wang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Recent Grad,"Recent chemical engineering grad from Western University. Interested in coding, specializing on machine learning. Practical experience in Python coding, looking to expand further.",2262366-54,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0d2c4e75-9db5-42e2-afaa-c74dee28112a/resume,Mississauga,Ontario,,Canada,,2020-08-31T04:50:30.552Z,2020-08-31T04:50:30.577Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,Recent grad,Mr.,N/A,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),2019,"Health, Software","Full Time, Internship, Co-op",,Western University,True,False,True,True 89286679-36e5-4a2e-9b42-27a15759f02a,objectdeveloper@gmail.com,Kevin,Wong,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,AI ENGINEER,10+ years of financial industry experience with effective End to End AI Solution.,4373743389,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/89286679-36e5-4a2e-9b42-27a15759f02a/resume,Richmond Hill,Ontario,,Canada,,2020-11-03T14:39:39.679Z,2020-11-03T14:39:39.737Z,False,False,Not Affiliated with Vector,No,Other/Unsure,--- choose country first ---,Already Graduated,,Mr.,N/A,,Undergraduate Degree (Bachelors),Senior Level (5+ Years),Computer Science,,Full Time,,University of Toronto,True,False,True,True 07e80116-ac3b-4724-a96a-07c8dfdbb7ad,mja2213@columbia.edu,Mark,Aksen,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-10-30T00:01:21.690Z,2020-10-30T00:01:21.710Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Winter 2021,,Mr.,https://www.linkedin.com/in/markaksen/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Statistics,"Financial Services, Health, Professional Services (e.g Consulting), Software",Full Time,,Other,True,True,True,True 2a64cfde-9d35-4010-b3a2-3147f769dbc6,dhamzeia@uwaterloo.ca,Donya,Hamzeian,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Masters student in Statistics,I am currently working on my Master's thesis and I am trying to develop a new topic modelling algorithm using bert. The dataset that I am working on is CORD19. ,2265059329,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2a64cfde-9d35-4010-b3a2-3147f769dbc6/resume,Toronto,Ontario,,Canada,,2020-09-04T14:57:47.192Z,2020-09-08T11:14:12.155Z,False,False,Connected to Vector Research,Yes,Other/Unsure,Professor Ghosdi,Already Graduated,My supervisor is a Vector affiliate,Mrs.,https://www.linkedin.com/in/donya-hamzeian-a7ba48130/,,Graduate Degree (Masters),Entry Level (0-2 Years),MMath in Statistics,"Health, Software, Technology (Product Development)","Full Time, Internship",,University of Waterloo,True,False,True,True @@ -4378,64 +4432,63 @@ a8a51f4c-23a0-4ca8-9f9d-240711aac4ba,akhi.nath@ryerson.ca,Akhi,Nath,https://tale 04361e00-6f7d-4dd9-90f9-b040203c752c,soroosh.shahtalebi@vectorinstitute.ai,Soroosh,Shahtalebi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Postdoctoral Fellow at Vector Institute,,,,,,,,True,False,,Toronto,Ontario,,Canada,,2021-07-14T03:59:26.775Z,2021-07-14T03:59:26.803Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Frank Rudzicz,Already Graduated,,Dr.,https://www.linkedin.com/in/soroosh-shahtalebi/,"Deep learning, Healthcare and/or medical imaging, Machine learning, Representation learning",Postgraduate Degree (PhD),Senior Level (5+ Years),Information Systems Engineering,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Telecommunications, Type of Work is More Important to me than Sector",Full Time,"Data Scientist, Machine Learning Researcher/Scientist ",Other,True,True,True,True 6fbe6869-678d-465f-a53c-481e44bf65d2,weiyu.li@mail.utoronto.ca,Weiyu,Li,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/weiyu-l-65b735157/,,True,False,,,,,,,2021-02-10T15:42:30.793Z,2021-02-11T02:16:19.821Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/weiyu-l-65b735157/,,,,,,,,,True,True,True,True 974cbcc7-ec4e-402e-a8d8-be4255b4e54c,oparachidera.physics@gmail.com,Chidera,Opara,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-12-22T19:56:58.117Z,2021-12-25T02:27:15.921Z,False,False,Not Affiliated with Vector,Yes,,,,,,https://www.linkedin.com/in/chidera-opara-msc-3ba23689/,,,,,,,,,True,True,True,True -0e7da70b-b723-4d51-868e-2f2db598e43a,mohamad.khosravani97@gmail.com,Mohamad,Khosravani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-14T16:50:36.669Z,2022-09-17T20:36:01.879Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/mohamad-khosravani/,"Deep learning, Generative modeling, Natural language processing, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science with Specialization in Artificial Intelligence,Type of Work is More Important to me than Sector,Internship,"Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Lakehead University,True,True,True,True 31b3a528-1108-46b0-8673-5924912a081f,johnconnor.donovan@rotman.utoronto.ca,Connor,Donovan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-02-19T17:02:07.014Z,2021-02-19T17:02:07.038Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Spring/Summer 2021,,Mr.,https://www.linkedin.com/in/connordonovan20/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Management analytics,"Construction or Infrastructure, Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract",,University of Toronto,True,False,True,True c1467f5e-b4ae-4e06-acff-533c308efe2a,a9murali@uwaterloo.ca,Adithya,Murali,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-12-21T15:12:30.008Z,2020-12-21T23:21:55.359Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/adithya-murali-68874b156/,,,,,,,,,True,True,True,True 12747a28-fa38-4fba-94ec-f35a98a26ff6,z_amel1911@live.fr,Amel,ZIANI,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2021-01-07T16:52:14.005Z,2021-01-07T16:52:14.027Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/amel-ziani-4193921b2/,,,,,,,,,True,False,True,True a336ac6f-5777-4164-b197-3e1fc566c1a3,anna.malakhova@queensu.ca,Anna,Malakhova,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/anna-m-58008913b/,,True,False,,,,,,,2022-11-09T22:13:24.530Z,2022-11-09T22:30:22.764Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/anna-m-58008913b/,,,,,,,,,True,False,True,True 5997e70a-50a5-4c76-9a8e-6ddb83ffdf60,achesolo@gmail.com,Solomon,Acheampong,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-07-30T12:32:55.862Z,2022-07-30T12:32:55.911Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/solomon-acheampong-527742123,"Computer vision, Optimization, Reinforcement learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Engineering Science,"Construction or Infrastructure, Manufacturing , Software, Technology (Product Development), Transportation","Full Time, Internship, Contract, Capstone Project","Data Scientist, Software Engineer",Laurentian University,True,True,True,True a282d4f1-3c81-4ed6-b8c8-bb38d3e483ab,deansaco@rogers.com,Dean,Sacoransky,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,MASc candidate in Computer Engineering at Queen's University. I am a member of the Offroad Robotics research group at Ingenuity Labs. My research is focused on all-weather autonomous vehicle path estimation and localization using automotive radar. This project involves using artificial intelligence to robustly detect reflective lane markers.,6479804640,,https://offroad.engineering.queensu.ca/people/dean-sacoransky/,,https://www.linkedin.com/in/dean-sacoransky-6a671119a/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a282d4f1-3c81-4ed6-b8c8-bb38d3e483ab/resume,Toronto,Ontario,,Canada,,2022-08-04T19:14:38.756Z,2022-08-22T16:38:49.223Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/dean-sacoransky-6a671119a/?originalSubdomain=ca,"Computer vision, Robotics, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Applied Science - Electrical and Computer Engineering,"Software, Technology (Product Development), Transportation","Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,False,True,True -bc85c6cc-fd18-41cd-a46e-c0b703d64152,haideraltahan@gmail.com,Haider,Al-Tahan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6476080751,,http://haideraltahan.com,,https://www.linkedin.com/in/haideraltahan/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/bc85c6cc-fd18-41cd-a46e-c0b703d64152/resume,,,,,linkedin,2021-10-21T23:01:11.671Z,2021-10-21T23:12:33.399Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,yalda mohsenzadeh,Already Graduated,,Mr.,https://www.linkedin.com/in/haideraltahan/,"Computer vision, Data science, Deep learning, Machine learning, Neuroscience, Self-supervised learning, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,Type of Work is More Important to me than Sector,"Full Time, Internship","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer, Other ",Western University,True,False,True,True -8522b03d-94d6-40b4-a0ed-607afeb743cf,adam.gronowski@gmail.com,Adam,Gronowski,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2022-05-15T23:40:16.091Z,2022-05-15T23:40:16.109Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/adamgronowski/,,,,,,,,,True,True,True,True -5c029202-a7a9-4ca0-841e-7c07ccea013f,ephraimabbeu@gmail.com,abbeu ,ephraim dahande,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-01-23T14:41:48.588Z,2020-01-23T14:41:48.615Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,Not Found,,Undergraduate Degree (Bachelors),,ACCOUNTING AND FIANANCE,Financial Services,Full Time,,Other,True,True,True,True +6ea5c25b-3ce1-4a1b-b338-84a02ce0d0d4,molokwub@uwindsor.ca,Bonaventure,Molokwu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,"An active researcher within the domain of Artificial Intelligence (AI) with respect to Social Network Analysis (SNA). My research entails harnessing Machine Learning (ML) and Deep Learning (DL) methodologies toward resolving a vast range of open (research) problems and real-world problems in SNA. To this end, I have successfully developed and implemented effective as well as efficient frameworks for resolving the following research problems, viz: Breakup Prediction, Link Prediction, Link Influence and Dynamics, Node Classification, Trend/Pattern Analysis, and Event-based Analysis/Prediction. In this regard, my research and work have been funded as well as supported by NSERC, CIHR, IBM, Vector Institute for Artificial Intelligence, etc. Also, I am a seasoned solutions and web/mobile developer with over 10 years of industry experience. I am flexible, collaborative, and a good multi-tasker who is self-motivated, committed, and target-driven. I can adapt swiftly to newer skills, and can manage time and other resources wisely without constant supervision.",+1 519 817 4958,,https://bhevencious.github.io/,,https://ca.linkedin.com/in/bonaventuremolokwu/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6ea5c25b-3ce1-4a1b-b338-84a02ce0d0d4/resume,Windsor,Ontario,,Canada,,2021-01-15T21:13:04.363Z,2022-06-28T06:57:21.778Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Post Graduate Affiliate,,Already Graduated,,Mr.,https://www.linkedin.com/in/bonaventuremolokwu/,"Data science, Deep learning, Graphical models, Machine learning, Representation learning",Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Science,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Contract, Capstone Project","Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer, Other ",University of Windsor,True,True,True,True +2b2e9227-8549-4cc0-b1fd-ca2d8706f5ce,joe1987718@gmail.com,Wenchao,Han,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Post-doc researcher,"II am post-doc researcher from Department of Medical Biophysics, University of Toronto and Biomarker Imaging Laboratory, Sunnybrook Research Institute. I work with Dr. Anne Martel and Dr. Martin Yaffe on breast cancer research. My research focus on digital pathology and multiplexed image analysis using machine learning.",,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2b2e9227-8549-4cc0-b1fd-ca2d8706f5ce/resume,Toronto,Ontario,,Canada,,2022-09-22T13:19:10.851Z,2022-09-22T13:19:10.896Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Post Graduate Affiliate,ON,Already Graduated,,Dr.,https://www.linkedin.com/in/wenchao-han-phd-389262192/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Medical Biophysics,Health,Full Time,Machine Learning Researcher/Scientist ,Western University,True,True,True,True +d44428ed-41e4-4cf1-8e10-99185693b5cc,tiao_lin@hotmail.com,Fanghe,Lin,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6479780804,,,,https://www.linkedin.com/in/emily-lin-a2044a176,,True,False,,Waterloo,Ontario,,Canada,,2022-09-21T20:23:20.707Z,2022-09-22T03:02:32.619Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Miss.,https://www.linkedin.com/in/emily-lin-a2044a176,"Data science, Machine learning, Robotics",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Science with Artificial Intelligence,"Financial Services, Technology (Information and Media), Type of Work is More Important to me than Sector","Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst",University of Waterloo,True,True,True,True +98ffc64b-3f63-4c64-81eb-c2bc88bb408c,ghasrlo@uwindsor.ca,Hamed,Ghasr Loghmani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,M.Sc. Student,,2267889986,,,,https://www.linkedin.com/in/hamed-loghmani-a23905184/,,True,False,,Windsor,Ontario,,Canada,,2022-09-09T13:00:03.359Z,2022-09-09T14:07:19.747Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2024 (April - July),,Mr.,N/A,"Bioinformatics, Healthcare and/or medical imaging, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),M.Sc. Computer Science (AI Stream),"Education, Health, Technology (Information and Media)","Full Time, Internship, Co-op","Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Windsor,True,True,True,True +bf476f8e-2ccc-41a1-8b7e-3f525067d207,v37wang@uwaterloo.ca,Victoria,Wang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-09T12:59:58.236Z,2022-09-09T20:42:50.704Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/vw22/,,,,,,,,,True,True,True,True +d6f45b36-f957-40f6-9167-4c21885ff48c,lsikstro@uwo.ca,Lee,Sikstrom,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6475297764,,,,https://linkedin.com/in/lee-sikstrom-a6472a113,,True,False,,London,Ontario,,Canada,,2022-09-20T15:14:59.461Z,2022-09-22T00:23:33.924Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2024 (April - July),,Mr.,linkedin.com/in/lee-sikstrom-a6472a113,"Bioinformatics, Healthcare and/or medical imaging, Physics",Graduate Degree (Masters),Entry Level (0-2 Years),Medical Biophysics with a Machine Learning Specialization,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op","Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",Western University,True,True,True,True +4be1d021-a897-49dd-9f4d-b9cb6cecf9e2,viethuy25@gmail.com,Gia Viet Huy,Nguyen,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-09T13:00:00.238Z,2022-09-09T13:11:38.718Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/huy-nguyen-04782414a/,,,,,,,,,True,False,True,True +aaa2aa68-d51c-404e-8faf-08209c136e62,deneyew@uwo.ca,Dagimawi,Eneyew,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-02-09T17:46:50.181Z,2022-06-21T20:13:11.043Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/dagimawi-d-eneyew-104675103,,,,,,,,,True,True,True,True +a74584f0-ed0e-4ef5-89e9-4938df309fb7,tyler.mainguy@gmail.com,Tyler,Mainguy,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Master's Student at Queen's University,Research MSc student at Queen's University working on applying deep learning to medical data.,6479260313,,https://tylermainguy.com,,https://www.linkedin.com/in/tyler-mainguy-19aa67142/,,True,False,,Kingston,Ontario,,Canada,,2021-09-10T17:42:57.412Z,2021-09-13T14:34:38.718Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://ca.linkedin.com/in/tyler-mainguy-19aa67142,"Bioinformatics, Deep learning, Healthcare and/or medical imaging",Graduate Degree (Masters),Entry Level (0-2 Years),Artificial Intelligence for Medical Imaging,"Education, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Queen's University,True,False,True,True +0ae1d59d-52be-4489-a256-039fb78939d7,avesta.ahmd@gmail.com,Avesta,Ahmadi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Computational/Data Scientist,"Quick-learner and detail-oriented computational scientist with 2+ years professional experience. Possessing strong mathematical and programming skills, proficient in time series forecasting, data visualization and artificial intelligence techniques, performed descriptive analysis and developed many predictive analysis models to derive new insights from data.",7782519407,,http://github.com/Avesta-Ahmadi/,,https://linkedin.com/in/avesta-ahmadi,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0ae1d59d-52be-4489-a256-039fb78939d7/resume,Toronto,Ontario,,Canada,,2020-01-22T04:53:15.523Z,2020-01-22T04:55:37.170Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://linkedin.com/in/avesta-ahmadi,,Graduate Degree (Masters),,Computational Science,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project",,McMaster University,True,True,True,True +69960fb4-b27e-4d25-8806-22b44a527513,pengxudong8@yahoo.com,Sheldon,Peng,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/sheldonpeng,,True,False,,Toronto,Ontario,,Canada,,2019-12-05T00:50:40.187Z,2019-12-05T00:50:40.226Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/sheldonpeng,,Graduate Degree (Masters),Entry Level (0-2 Years),"Master of Mathematics in Statistics, data science specialization","Financial Services, Professional Services (e.g Consulting), Retail, Telecommunications","Full Time, Internship, Contract",,University of Waterloo,True,True,True,True +2912a46c-af60-466e-bfed-9201045562de,dkhan19@schulich.yorku.ca,Danial,Khan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2912a46c-af60-466e-bfed-9201045562de/resume,,,,,,2019-12-03T01:36:37.970Z,2019-12-03T01:36:38.014Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/danielkhan111/,,,,Master of Business Analytics,"Retail, Telecommunications",Full Time,,York University,True,True,True,True ba89444a-6925-4818-bc5e-c43ce3f379c1,19ss86@queensu.ca,Stephanie,Scholte,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-01-06T14:45:18.031Z,2020-01-06T14:45:18.074Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mrs.,https://www.linkedin.com/in/stephanie-scholte-25a89a8/,,,,Masters in Management - Artificial Intelligence,"Education, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Capstone Project",,Queen's University,True,True,True,True b414740e-9941-488e-bf74-a77eb983e53e,nashra.siddiqui@queensu.ca,Nashra,Siddiqui,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-03T13:31:11.132Z,2019-12-03T13:31:11.174Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Ms.,https://www.linkedin.com/in/nashra-siddiqui-1825a610b/,,,,Master's in Management Analytics,"Financial Services, Retail, Telecommunications","Full Time, Internship, Co-op, Contract",,Queen's University,True,True,True,True -386daa14-0f3e-4062-9e4c-2efb6ba9b7ea,amlan.kar95@gmail.com,Amlan,Kar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-02T17:56:30.868Z,2019-12-02T17:56:30.910Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Sanja Fidler,,,Mr.,https://www.linkedin.com/in/amlan-kar/,,,,PhD,Financial Services,"Full Time, Internship",,University of Toronto,True,True,True,True -f6cb479c-99f8-4a83-94f6-b54578c7fbfd,parisachandrasekhar@gmail.com,Chandrasekhar ,Parisa,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-05T15:46:03.479Z,2019-12-05T15:46:03.518Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/chandrasekhar-parisa-25a68685/,,,,Masters in Computer Science,,Full Time,,Lakehead University,True,True,True,True 45be0a34-dc71-4508-b9f3-81da6aa985c8,michelle.khuu@mail.utoronto.ca,Michelle,Khuu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-03T03:42:48.782Z,2019-12-03T03:42:48.822Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,IHPME,,,Miss.,https://www.linkedin.com/in/michellekhuurn/,,,,Master of Health Informatics,Telecommunications,"Full Time, Internship, Co-op, Contract, Capstone Project",,University of Toronto,True,True,True,True +5723f5fa-fe1d-41c4-a548-3f43833f0857,tianshi.cao@mail.utoronto.ca,Tianshi,Cao,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-02T17:51:31.606Z,2019-12-02T17:51:31.659Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,Sanja Fidler,,,Mr.,Not Found,,,,Master of Science in Computer Science,Telecommunications,"Full Time, Internship, Co-op",,University of Toronto,True,False,True,True +386daa14-0f3e-4062-9e4c-2efb6ba9b7ea,amlan.kar95@gmail.com,Amlan,Kar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-02T17:56:30.868Z,2019-12-02T17:56:30.910Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Sanja Fidler,,,Mr.,https://www.linkedin.com/in/amlan-kar/,,,,PhD,Financial Services,"Full Time, Internship",,University of Toronto,True,True,True,True 36ec791a-0555-4c13-8973-07a164692cdc,anuja.shukla@rotman.utoronto.ca,Anuja,Shukla,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-04T16:22:21.580Z,2019-12-04T16:22:21.626Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Ms.,https://www.linkedin.com/in/anuja-shukla/,,,,Master of Management Analytics,"Financial Services, Retail, Telecommunications","Full Time, Contract",,University of Toronto,True,False,True,True -2912a46c-af60-466e-bfed-9201045562de,dkhan19@schulich.yorku.ca,Danial,Khan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2912a46c-af60-466e-bfed-9201045562de/resume,,,,,,2019-12-03T01:36:37.970Z,2019-12-03T01:36:38.014Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/danielkhan111/,,,,Master of Business Analytics,"Retail, Telecommunications",Full Time,,York University,True,True,True,True -0b43ce9a-dc89-46bc-9b76-e157f6d9acf1,nishi.patel2817@gmail.com,Nishi,Patel,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2019-12-06T04:11:11.184Z,2019-12-06T04:11:11.200Z,False,False,Recognized Masters Program,Yes,,,,,,Not Found,,,,,,,,,True,True,True,True +5c029202-a7a9-4ca0-841e-7c07ccea013f,ephraimabbeu@gmail.com,abbeu ,ephraim dahande,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-01-23T14:41:48.588Z,2020-01-23T14:41:48.615Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,Not Found,,Undergraduate Degree (Bachelors),,ACCOUNTING AND FIANANCE,Financial Services,Full Time,,Other,True,True,True,True +f6cb479c-99f8-4a83-94f6-b54578c7fbfd,parisachandrasekhar@gmail.com,Chandrasekhar ,Parisa,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-05T15:46:03.479Z,2019-12-05T15:46:03.518Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/chandrasekhar-parisa-25a68685/,,,,Masters in Computer Science,,Full Time,,Lakehead University,True,True,True,True 6a72a6ed-a38c-4a52-a2a3-c342fdbc6f3d,reddy.sanhith@gmail.com,Sanhith Reddy,Singireddy,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2019-12-05T17:41:06.499Z,2019-12-05T17:41:06.524Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/sanhithreddysingireddy/,,,,,,,,,True,False,True,True -a74584f0-ed0e-4ef5-89e9-4938df309fb7,tyler.mainguy@gmail.com,Tyler,Mainguy,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Master's Student at Queen's University,Research MSc student at Queen's University working on applying deep learning to medical data.,6479260313,,https://tylermainguy.com,,https://www.linkedin.com/in/tyler-mainguy-19aa67142/,,True,False,,Kingston,Ontario,,Canada,,2021-09-10T17:42:57.412Z,2021-09-13T14:34:38.718Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://ca.linkedin.com/in/tyler-mainguy-19aa67142,"Bioinformatics, Deep learning, Healthcare and/or medical imaging",Graduate Degree (Masters),Entry Level (0-2 Years),Artificial Intelligence for Medical Imaging,"Education, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Queen's University,True,False,True,True -aca92233-dcb0-4ed4-885d-f3f30316e924,amtrijal147@gmail.com,Amit,Sharma,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,873-688-7654,,https://amitsrma.github.io,,https://www.linkedin.com/in/amitsrma,,True,False,,,,,,,2021-08-24T21:14:45.914Z,2021-08-24T21:39:50.561Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/amitsrma,"Computer vision, Natural language processing, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),System Science,,"Full Time, Contract","Data Analyst, Machine Learning Engineer, Software Engineer, Other ",University of Ottawa,True,False,True,True +c9446bd5-ff3a-463a-85f8-ef78e1698fea,benjamin.akhirevbulu@queensu.ca,Benjamin,Akhirevbulu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Business Analyst,"High-performance Business Analyst with 5+ years’ experience in a quantitative business strategy role using data and analytics to create insights that influence business decision making. Adept at telling stories with data to showcase business performance, answer questions on specific performance outcomes and provide recommendations on continuous improvement and growth opportunities. Possess excellent analytical, presentation, problem-solving, teamwork, and communication skills with proven proficiency in R, Python, SQL, Tableau, Power BI, Microsoft Office Word, Excel, PowerPoint, Project, Visio, and Access.",4168244679,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c9446bd5-ff3a-463a-85f8-ef78e1698fea/resume,Toronto,Ontario,,Canada,,2020-08-13T19:40:08.512Z,2020-09-11T21:24:51.739Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,www.linkedin.com/in/bakhirevbulu,,Graduate Degree (Masters),Senior Level (5+ Years),Management Analytics,"Retail, Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Contract",,Queen's University,True,False,True,True 5d8f1c33-978c-4235-b6a6-6f03a82ac4f7,wadhw112@uwindsor.ca,Shreya,Wadhwa,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5d8f1c33-978c-4235-b6a6-6f03a82ac4f7/resume,,,,,,2021-08-24T21:14:48.173Z,2021-08-25T02:14:25.870Z,False,False,Vector Scholarship Recipient,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/shreya-wadhwa-8a502463/,,Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Applied Computing,"Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Analyst, Data Engineer, Software Engineer",University of Windsor,True,True,True,True ce02df90-a791-4380-9c16-a624780afdcd,a4dahiya@uwaterloo.ca,ABHINAV,DAHIYA,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/abinvda/,,True,False,,,,,,,2021-09-10T17:42:44.747Z,2021-09-13T20:52:23.111Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Stephen L. Smith,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/abinvda/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Ph.D. in Systems and Control,,"Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Analyst, Machine Learning Researcher/Scientist , Product/Project Manager",University of Waterloo,True,True,True,True -2c04021e-4de8-4686-a12e-a2112c740f31,khubchandani@gmail.com,Bhaskar,Khubchandani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2021-03-06T06:40:45.936Z,2021-03-06T06:40:45.959Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/bhaskar-khubchandani/,,,,,,,,,True,False,True,True 7cbbe541-0abd-488e-9e5e-ee45559100f2,deloresmjin64@gmail.com,Delores,Jin,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-03-09T21:14:32.073Z,2021-03-16T13:45:29.974Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Miss.,https://www.linkedin.com/in/meihui-delores-jin/,"Data science, Machine learning, Statistical learning theory",Graduate Degree (Masters),Entry Level (0-2 Years),Data Analytics,"Education, Financial Services, Professional Services (e.g Consulting), Retail, Technology (Information and Media)","Full Time, Internship, Co-op, Contract",,Western University,True,True,True,True -9c9f1814-19f3-4227-ac78-5cb44b693389,kumar35@uwindsor.ca,Aman,kumar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-02-10T15:42:44.684Z,2021-02-11T20:02:56.860Z,False,False,Recognized Masters Program,Yes,,,,,,N/A,,,,,,,,,True,True,True,True -9fb1085e-2469-4b6e-bef8-73e21d54e282,bhatt.pranjal@outlook.com,Pranjal,Bhatt,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9fb1085e-2469-4b6e-bef8-73e21d54e282/resume,,,,,,2021-10-22T23:36:47.871Z,2021-10-22T23:36:47.932Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/pranjalbhatt/,"Data science, Deep learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Engineering,"Health, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True 9868c4b1-e29b-4dde-9458-818be02b473b,paul.spelt95@gmail.com,Paul,Spelt,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-05-21T23:23:14.731Z,2021-05-21T23:23:14.760Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Fall 2021,Univeristy of Toronto Masters Industrial Engineering,Mr.,https://www.linkedin.com/in/paul-spelt/,"Data science, Machine learning, Optimization",Graduate Degree (Masters),Mid-Level (3-5 Years),Industrial Engineering,"Financial Services, Health, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Data Scientist, Machine Learning Researcher/Scientist , Product/Project Manager",University of Toronto,True,False,True,True +9fb1085e-2469-4b6e-bef8-73e21d54e282,bhatt.pranjal@outlook.com,Pranjal,Bhatt,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9fb1085e-2469-4b6e-bef8-73e21d54e282/resume,,,,,,2021-10-22T23:36:47.871Z,2021-10-22T23:36:47.932Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/pranjalbhatt/,"Data science, Deep learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Engineering,"Health, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True abd26e36-5019-4fd5-89b0-a2fed550526f,poornima.n83@gmail.com,Poornima,N,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/abd26e36-5019-4fd5-89b0-a2fed550526f/resume,,,,,,2021-06-29T13:53:03.552Z,2021-06-29T13:53:03.581Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Winter 2021,External Applicant,Ms.,N/A,"Computer vision, Deep learning",Graduate Degree (Masters),Senior Level (5+ Years),2021,,"Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Product/Project Manager, Software Engineer",Other,True,False,True,True -5723f5fa-fe1d-41c4-a548-3f43833f0857,tianshi.cao@mail.utoronto.ca,Tianshi,Cao,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-02T17:51:31.606Z,2019-12-02T17:51:31.659Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,Sanja Fidler,,,Mr.,Not Found,,,,Master of Science in Computer Science,Telecommunications,"Full Time, Internship, Co-op",,University of Toronto,True,False,True,True +aca92233-dcb0-4ed4-885d-f3f30316e924,amtrijal147@gmail.com,Amit,Sharma,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,873-688-7654,,https://amitsrma.github.io,,https://www.linkedin.com/in/amitsrma,,True,False,,,,,,,2021-08-24T21:14:45.914Z,2021-08-24T21:39:50.561Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/amitsrma,"Computer vision, Natural language processing, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),System Science,,"Full Time, Contract","Data Analyst, Machine Learning Engineer, Software Engineer, Other ",University of Ottawa,True,False,True,True +d72b7c31-437e-4d71-ae27-86d2088c65c3,deepanshuwadhwa97@gmail.com,Deepanshu,Wadhwa,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Deep Learning Researcher,,5193195093,,,,https://www.linkedin.com/in/wadhwadeepanshu/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d72b7c31-437e-4d71-ae27-86d2088c65c3/resume,London,Ontario,,Canada,linkedin,2020-01-31T04:14:31.082Z,2021-01-24T07:19:17.303Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/wadhwadeepanshu/,,Graduate Degree (Masters),Entry Level (0-2 Years),MSc Computer Science (AI Specialization),Type of Work is More Important to me than Sector,"Full Time, Internship, Contract",,Western University,True,True,True,True +2c04021e-4de8-4686-a12e-a2112c740f31,khubchandani@gmail.com,Bhaskar,Khubchandani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2021-03-06T06:40:45.936Z,2021-03-06T06:40:45.959Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/bhaskar-khubchandani/,,,,,,,,,True,False,True,True 7b1e3914-508f-47e3-8490-1d12fb43253a,ssaha59@uwo.ca,Sajal,Saha,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-09-10T17:42:59.852Z,2021-09-23T00:57:47.244Z,False,False,Internal Staff,Yes,,,,,,https://www.linkedin.com/in/sajal-saha-bd/,,,,,,,,,True,True,True,True -c9446bd5-ff3a-463a-85f8-ef78e1698fea,benjamin.akhirevbulu@queensu.ca,Benjamin,Akhirevbulu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Business Analyst,"High-performance Business Analyst with 5+ years’ experience in a quantitative business strategy role using data and analytics to create insights that influence business decision making. Adept at telling stories with data to showcase business performance, answer questions on specific performance outcomes and provide recommendations on continuous improvement and growth opportunities. Possess excellent analytical, presentation, problem-solving, teamwork, and communication skills with proven proficiency in R, Python, SQL, Tableau, Power BI, Microsoft Office Word, Excel, PowerPoint, Project, Visio, and Access.",4168244679,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c9446bd5-ff3a-463a-85f8-ef78e1698fea/resume,Toronto,Ontario,,Canada,,2020-08-13T19:40:08.512Z,2020-09-11T21:24:51.739Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,www.linkedin.com/in/bakhirevbulu,,Graduate Degree (Masters),Senior Level (5+ Years),Management Analytics,"Retail, Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Contract",,Queen's University,True,False,True,True +9c9f1814-19f3-4227-ac78-5cb44b693389,kumar35@uwindsor.ca,Aman,kumar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-02-10T15:42:44.684Z,2021-02-11T20:02:56.860Z,False,False,Recognized Masters Program,Yes,,,,,,N/A,,,,,,,,,True,True,True,True e141ad76-380d-46cb-95c6-c4b76d3aeaf4,sameli@uwaterloo.ca,Soroush,Ameli,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Software Developer @ eSentire | Data Engineer,,,,,,https://www.linkedin.com/in/sameli74,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e141ad76-380d-46cb-95c6-c4b76d3aeaf4/resume,Waterloo,Ontario,,Canada,,2020-08-13T19:40:32.810Z,2020-09-11T18:16:03.333Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,LinkedIn.com/in/sameli74,,Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,Type of Work is More Important to me than Sector,"Full Time, Internship, Contract",,University of Waterloo,True,True,True,True -544bf1e1-7850-4002-8b92-bf2f0390390e,mahnoor.naeem@mail.utoronto.ca,Mahnoor,Naeem,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-08-13T19:40:57.155Z,2020-09-22T13:42:31.583Z,False,False,Not Affiliated with Vector,Yes,,,,,,https://www.linkedin.com/in/mahnoor-naeem/,,,,,,,,,True,False,True,True -9623200d-b187-4ca0-9c89-35199b87b596,bichengxu1220@hotmail.com,Bicheng,Xu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Ph.D. Student in Computer Science,"Bicheng Xu is a Ph.D. student in Computer Science at the University of British Columbia. Previously, he received a Master of Science degree in Computer Science from the University of British Columbia, a Bachelor of Engineering degree in Computer Science and Technology from Zhejiang University, and a Bachelor of Science degree (with distinction) in Applied Sciences from Simon Fraser University with major in Computing Science and minor in Mathematics. His research interests are in Computer Vision, its intersection with Natural Language Processing, and Machine Learning. ",,,http://www.bicheng-xu.com/,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9623200d-b187-4ca0-9c89-35199b87b596/resume,Vancouver,British Columbia,,Canada,,2020-10-06T20:51:40.622Z,2020-10-06T20:51:40.646Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Leonid Sigal (University of British Columbia),Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/bicheng-xu-0724a1b3/,"Computer vision, Representation learning, Self-supervised learning",Postgraduate Degree (PhD),Entry Level (0-2 Years),Computer Science,"Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Internship, Capstone Project","Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True -d72b7c31-437e-4d71-ae27-86d2088c65c3,deepanshuwadhwa97@gmail.com,Deepanshu,Wadhwa,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Deep Learning Researcher,,5193195093,,,,https://www.linkedin.com/in/wadhwadeepanshu/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d72b7c31-437e-4d71-ae27-86d2088c65c3/resume,London,Ontario,,Canada,linkedin,2020-01-31T04:14:31.082Z,2021-01-24T07:19:17.303Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/wadhwadeepanshu/,,Graduate Degree (Masters),Entry Level (0-2 Years),MSc Computer Science (AI Specialization),Type of Work is More Important to me than Sector,"Full Time, Internship, Contract",,Western University,True,True,True,True -ac116400-dcae-4203-834b-0b769a0f0fb0,david.madras@mail.utoronto.ca,David,Madras,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,"I'm a PhD student studying machine learning at the University of Toronto and Vector Institute, supervised by RIchard Zemel. My research is primarily on machine learning in decision-making systems, including fairness, robustness, and interpretability, and on developing tools using deep learning and causal inference for these purposes.",,,http://www.cs.toronto.edu/~madras/,,https://www.linkedin.com/in/david-madras-117023134/,david_madras,True,False,https://canadaai.jobboard.io/api/v1/profiles/ac116400-dcae-4203-834b-0b769a0f0fb0/resume,,,,,,2020-06-01T21:44:13.112Z,2020-10-26T15:01:58.880Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Richard Zemel,Already Graduated,,Mr.,https://www.linkedin.com/in/david-madras-117023134/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science/Mathematics/Statistics,"Education, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Type of Work is More Important to me than Sector","Internship, Contract",,University of Toronto,True,True,True,True -431f51fb-a24e-4328-acb3-d3105f022c00,xichen.he@rotman.utoronto.ca,Sherry,He,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Scientist,"Data analyst and creative thinker, passionate about deriving insights with data and using it to solve complicated real-world problems. -Master of Management Analytics Candidate coupled with a Bachelor of Science degree in Statistics and Economics and various experiences with customer insights, AI robotics and project management.",(647)978 8781,,,,https://linkedin.com/in/sherryhexichen,,True,False,https://canadaai.jobboard.io/api/v1/profiles/431f51fb-a24e-4328-acb3-d3105f022c00/resume,Toronto,Ontario,,Canada,,2020-04-14T01:42:21.040Z,2020-04-14T01:42:21.064Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Ms.,https://linkedin.com/in/sherryhexichen,,Graduate Degree (Masters),,Master of Management Analytics,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project",,University of Toronto,True,True,True,True 429cafe8-af6c-476f-9bf7-5ecd41c47bb3,junhan.han@mail.utoronto.ca,Sungjun,Han,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,"Hello! I am soon to be a new grad from Engineering Science at University of Toronto. My program focuses on statistical modelling, data science and mathematical optimization in financial domain. I enjoy reading ML research papers and applying them in practice with real data. My interest areas in ML are NLP and recurrent neural networks. My other interests are soccer and reading.",4165713665,,,,https://www.linkedin.com/in/hansungj/,M4Y2K1,True,False,https://canadaai.jobboard.io/api/v1/profiles/429cafe8-af6c-476f-9bf7-5ecd41c47bb3/resume,Toronto,Ontario,,Canada,,2020-02-18T00:35:38.068Z,2020-02-18T00:35:38.090Z,False,False,Not Affiliated with Vector,No,Other/Unsure,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/hansungj/,,Undergraduate Degree (Bachelors),,"Engineering Science - Math, Stats, Finance Option","Financial Services, Software, Type of Work is More Important to me than Sector","Full Time, Internship",,University of Toronto,True,True,True,True +ae8256ad-3747-4931-bc4b-9701c3d81b48,iilic@ryerson.ca,Igor,Ilic,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-07-03T01:53:05.573Z,2020-07-09T22:31:53.595Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/igor-ilic-19364a71/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Data Science and Analytics,"Education, Health, Software, Technology (Information and Media), Technology (Product Development)",Full Time,,Ryerson University,True,True,True,True ef847f1e-4803-4855-a022-6cd99786e74b,krithika.shankar@rotman.utoronto.ca,Krithika,Shankar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Science Intern - BMO Financial Group,,4168334915,,,,https://www.linkedin.com/in/krithikashankar/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ef847f1e-4803-4855-a022-6cd99786e74b/resume,Toronto,Ontario,,Canada,,2020-03-05T02:49:21.758Z,2020-03-05T02:49:21.786Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/krithikashankar/,,Graduate Degree (Masters),,Management Analytics,"Financial Services, Retail, Technology (Information and Media), Technology (Product Development)",Full Time,,University of Toronto,True,True,True,True +431f51fb-a24e-4328-acb3-d3105f022c00,xichen.he@rotman.utoronto.ca,Sherry,He,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Scientist,"Data analyst and creative thinker, passionate about deriving insights with data and using it to solve complicated real-world problems. +Master of Management Analytics Candidate coupled with a Bachelor of Science degree in Statistics and Economics and various experiences with customer insights, AI robotics and project management.",(647)978 8781,,,,https://linkedin.com/in/sherryhexichen,,True,False,https://canadaai.jobboard.io/api/v1/profiles/431f51fb-a24e-4328-acb3-d3105f022c00/resume,Toronto,Ontario,,Canada,,2020-04-14T01:42:21.040Z,2020-04-14T01:42:21.064Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Ms.,https://linkedin.com/in/sherryhexichen,,Graduate Degree (Masters),,Master of Management Analytics,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project",,University of Toronto,True,True,True,True +ac116400-dcae-4203-834b-0b769a0f0fb0,david.madras@mail.utoronto.ca,David,Madras,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,"I'm a PhD student studying machine learning at the University of Toronto and Vector Institute, supervised by RIchard Zemel. My research is primarily on machine learning in decision-making systems, including fairness, robustness, and interpretability, and on developing tools using deep learning and causal inference for these purposes.",,,http://www.cs.toronto.edu/~madras/,,https://www.linkedin.com/in/david-madras-117023134/,david_madras,True,False,https://canadaai.jobboard.io/api/v1/profiles/ac116400-dcae-4203-834b-0b769a0f0fb0/resume,,,,,,2020-06-01T21:44:13.112Z,2020-10-26T15:01:58.880Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Richard Zemel,Already Graduated,,Mr.,https://www.linkedin.com/in/david-madras-117023134/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science/Mathematics/Statistics,"Education, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Type of Work is More Important to me than Sector","Internship, Contract",,University of Toronto,True,True,True,True 1d45ca1f-9727-4acc-a87d-b07803b744b8,tao.lin@queensu.ca,Tao,Lin,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-07-08T16:25:44.575Z,2020-07-08T16:25:44.596Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/torontotaolin/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Managerial Analytics,"Education, Professional Services (e.g Consulting), Retail, Technology (Information and Media), Telecommunications","Full Time, Internship, Co-op, Contract, Capstone Project",,Queen's University,True,True,True,True 8b55beb0-6cbd-4036-b140-1f1ebfa174e4,zharoon@aimsammi.org,Zeinab ,Haroon,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-06-16T07:05:49.264Z,2020-06-16T07:05:49.296Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,-,Already Graduated,Master student at African Master of Machine intelligence (AMMI Program) in Rwanda,Ms.,https://www.linkedin.com/in/zeinab-haroon-468bb3131/,,Graduate Degree (Masters),Entry Level (0-2 Years),Machine Learning,"Education, Health","Full Time, Internship, Capstone Project",,Other,True,False,True,True fbcc5fa2-85b9-4dd2-b129-b61c9d230e2e,zgaorong@hotmail.ca,Rong,Gao,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/fbcc5fa2-85b9-4dd2-b129-b61c9d230e2e/resume,,,,,,2020-07-08T17:51:41.085Z,2020-07-08T17:51:41.109Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,Graduated from a Bachelors Program,Ms.,N/A,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Physics and Mathematics,"Education, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op",,University of Toronto,True,False,True,True cf745f3d-80ef-45a1-bf9a-357a02045021,ftezoh@aimsammi.org,Franky Kevin,Nando Tezoh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,+237650058240,,,,,,True,False,,,,,,,2020-07-06T12:57:16.111Z,2020-07-14T21:20:13.789Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Other/Undetermined,,Mr.,N/A,,Graduate Degree (Masters),Entry Level (0-2 Years),Machine Learning,Education,Internship,,Other,True,True,True,True -ae8256ad-3747-4931-bc4b-9701c3d81b48,iilic@ryerson.ca,Igor,Ilic,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-07-03T01:53:05.573Z,2020-07-09T22:31:53.595Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/igor-ilic-19364a71/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Data Science and Analytics,"Education, Health, Software, Technology (Information and Media), Technology (Product Development)",Full Time,,Ryerson University,True,True,True,True -d10cafbf-48c9-4125-a0cc-f3310660e5f8,bretnestor@cs.toronto.edu,Bret,Nestor,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,I am a PhD student focused on solving pragmatic challenges in the field of machine learning for healthcare. I focus on time-series representation learning to improve generalisability.,3068079825,,http://www.cs.toronto.edu/~bretnestor/,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d10cafbf-48c9-4125-a0cc-f3310660e5f8/resume,,,,,,2020-10-07T15:19:51.788Z,2020-11-10T16:31:18.554Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,"Anna Goldenberg, Marzyeh Ghassemi",Already Graduated,,Mr.,https://www.linkedin.com/in/bret-nestor-748245ba/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science,"Health, Technology (Product Development)",Internship,,University of Toronto,True,False,True,True +544bf1e1-7850-4002-8b92-bf2f0390390e,mahnoor.naeem@mail.utoronto.ca,Mahnoor,Naeem,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-08-13T19:40:57.155Z,2020-09-22T13:42:31.583Z,False,False,Not Affiliated with Vector,Yes,,,,,,https://www.linkedin.com/in/mahnoor-naeem/,,,,,,,,,True,False,True,True +20976194-fce5-4b81-a093-3669ff71f686,oluwabukola.adegboro@gmail.com,Oluwabukola,Adegboro,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Machine Learning Specialization,"I am a versatile, result-driven, and well-grounded individual with over a year’s worth of experience in the Machine Learning field. I have a passion for machine learning research and aim to develop deep learning-based algorithms and systems that recognize and comprehend the visual world around us, cutting across multi-disciplinary sectors, promoting customer satisfaction, and improving product quality.",+14375333616,,,,https://www.linkedin.com/in/oluwabukolaadegboro/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/20976194-fce5-4b81-a093-3669ff71f686/resume,,,,Canada,,2020-06-30T11:12:11.271Z,2022-02-25T06:55:02.109Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Winter 2023 (December 2022 - March 2023),I I am a student under the Intro to ML program at Vector Institute.,Miss.,https://www.linkedin.com/in/oluwabukolaadegboro/,"Computer vision, Deep learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Electrical & Computer Engineering (MASc.),Type of Work is More Important to me than Sector,"Full Time, Internship, Capstone Project","Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",OntarioTech University,True,False,True,True +88b92a32-4f8e-4888-9bf3-9272d9ae5e3c,sunnyssj8@gmail.com,Matthew Immanuel,Samson,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,905 914 7022,,https://github.com/MatthewSamson/,,https://www.linkedin.com/in/matthew-immanuel-samson-094b56158,,True,False,https://canadaai.jobboard.io/api/v1/profiles/88b92a32-4f8e-4888-9bf3-9272d9ae5e3c/resume,Oshawa,Ontario,,Canada,linkedin,2019-12-03T19:05:27.100Z,2020-08-18T20:36:16.707Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/matthew-immanuel-samson-094b56158,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Science - Computer Science,"Construction or Infrastructure, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Contract",,University of Guelph,True,True,True,True c11da727-8e44-4d0d-91cf-53c33faab8df,huudanh2908@gmail.com,Danh,Nguyen,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Computer Engineering Student,3rd-year engineering student at the University of Alberta. Thrives in collaborative environment with strong teamwork skills and experience with version control. Artistic background allows designs that bridge the gap between technology and common users.,7809372779,,,,https://www.linkedin.com/in/danh-h-nguyen/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c11da727-8e44-4d0d-91cf-53c33faab8df/resume,Toronto,Ontario,,Canada,,2020-11-11T04:38:08.424Z,2020-11-11T04:38:08.468Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,Engineering student found out about this opportunity here,Mr.,https://www.linkedin.com/in/danh-h-nguyen/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Engineering,"Software, Technology (Product Development)","Full Time, Internship, Co-op",,Other,True,False,True,True -9861cd29-0b96-45a9-be96-6d6c18ce85c6,saikirangrandhi9@gmail.com,Leela Venkata Saikiran,Grandhi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-01-17T16:08:55.861Z,2022-01-17T16:08:55.922Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/leela-venkata-saikiran-grandhi-284633169/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Electrical and computer Engineering,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship",Machine Learning Engineer,University of Windsor,True,True,True,True -818b636b-01c0-44cd-8beb-bfa8a7572c19,adithya22@protonmail.com,Adithya,Murali,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,5195021191,,,,,,True,False,,Waterloo,Ontario,,Canada,,2019-12-03T19:26:35.756Z,2020-01-02T19:07:21.922Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/adithya-murali-68874b156/,,,,Masters in Data Science and AI,Financial Services,"Full Time, Co-op",,University of Waterloo,True,True,True,True -a762e91e-20bf-4a47-9950-2df85d58148b,ivy.tran@mail.utoronto.ca,Ivy,Tran,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,647-882-0096,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a762e91e-20bf-4a47-9950-2df85d58148b/resume,,,,,,2020-07-18T03:51:04.215Z,2020-09-15T16:39:56.501Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,Not Found,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Health Informatics,"Health, Technology (Information and Media), Technology (Product Development), Telecommunications",Co-op,,University of Toronto,True,True,True,True -bea08597-8b16-4808-8c79-fabbefcb9609,yhj723@schulich.yorku.ca,Huijun,Yu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/bea08597-8b16-4808-8c79-fabbefcb9609/resume,,,,,,2022-01-07T01:34:29.952Z,2022-01-11T23:07:00.415Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/connect-carinayu/,,,,,,,,,True,True,True,True -90226bfc-c0ac-47f3-a2c6-db2b5c9f08b5,fangzhou.yuan@rotman.utoronto.ca,Fangzhou,Yuan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-09-10T17:42:48.206Z,2022-01-18T16:18:05.405Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/fzyuan/,,,,,,,,,True,False,True,True -5ad7ed20-bcf1-41ce-a268-22a13933e068,aarushi.anand20@rotman.utoronto.ca,Aarushi,Anand,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-04T18:20:24.871Z,2019-12-04T18:20:24.909Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Miss.,https://www.linkedin.com/in/aarushianand/,,,,Master of Management Analytics,"Financial Services, Retail, Telecommunications",Full Time,,University of Toronto,True,True,True,True -c817a42c-c766-4b0b-9bf0-ae0c67b37757,james.fernandez@vectorinstitute.ai,James,Fernandez,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-10-31T15:02:22.414Z,2019-10-31T15:02:22.433Z,False,False,Vector Scholarship Recipient,Yes,,,,,Mr.,https://www.linkedin.com/in/james-fernandez/,,,,HBSc Health Studies,,"Full Time, Capstone Project",,University of Toronto,,,True, -ebf9cef5-0c89-4514-bd35-14c3825480ff,kendra.beliveau@vectorinstitute.ai,Kendra,Beliveau,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-11-18T22:05:29.782Z,2021-01-28T20:04:41.393Z,False,False,Internal Staff,Yes,,,,,,https://www.linkedin.com/in/kendrabeliveau/,,,,,,,,,True,False,True,True -e037d49b-796e-4354-9f8b-f5a5cb9b4d1b,shingai@vectorinstitute.ai,Shingai,Manhengwa,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-11-18T22:05:30.282Z,2020-10-26T19:10:54.138Z,False,False,Internal Staff,Yes,,,,,,https://www.linkedin.com/in/shingai-manjengwa-1ba2574/,,,,,,,,,True,True,True,True -98969b0c-a797-419c-bbab-8a8721494d1c,yasmin.mcdowell@vectorinstitute.ai,Yasmin,McDowell,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-11-18T22:05:30.368Z,2019-11-26T19:48:23.953Z,False,False,Internal Staff,Yes,,,,,,https://www.linkedin.com/in/yasminmcdowell/,,,,,,,,,,,True, +d10cafbf-48c9-4125-a0cc-f3310660e5f8,bretnestor@cs.toronto.edu,Bret,Nestor,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,I am a PhD student focused on solving pragmatic challenges in the field of machine learning for healthcare. I focus on time-series representation learning to improve generalisability.,3068079825,,http://www.cs.toronto.edu/~bretnestor/,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d10cafbf-48c9-4125-a0cc-f3310660e5f8/resume,,,,,,2020-10-07T15:19:51.788Z,2020-11-10T16:31:18.554Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,"Anna Goldenberg, Marzyeh Ghassemi",Already Graduated,,Mr.,https://www.linkedin.com/in/bret-nestor-748245ba/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science,"Health, Technology (Product Development)",Internship,,University of Toronto,True,False,True,True +9861cd29-0b96-45a9-be96-6d6c18ce85c6,saikirangrandhi9@gmail.com,Leela Venkata Saikiran,Grandhi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-01-17T16:08:55.861Z,2022-01-17T16:08:55.922Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/leela-venkata-saikiran-grandhi-284633169/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Electrical and computer Engineering,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship",Machine Learning Engineer,University of Windsor,True,True,True,True +818b636b-01c0-44cd-8beb-bfa8a7572c19,adithya22@protonmail.com,Adithya,Murali,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,5195021191,,,,,,True,False,,Waterloo,Ontario,,Canada,,2019-12-03T19:26:35.756Z,2020-01-02T19:07:21.922Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/adithya-murali-68874b156/,,,,Masters in Data Science and AI,Financial Services,"Full Time, Co-op",,University of Waterloo,True,True,True,True 5ad7ed20-bcf1-41ce-a268-22a13933e068,aarushi.anand20@rotman.utoronto.ca,Aarushi,Anand,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-04T18:20:24.871Z,2019-12-04T18:20:24.909Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Miss.,https://www.linkedin.com/in/aarushianand/,,,,Master of Management Analytics,"Financial Services, Retail, Telecommunications",Full Time,,University of Toronto,True,True,True,True a762e91e-20bf-4a47-9950-2df85d58148b,ivy.tran@mail.utoronto.ca,Ivy,Tran,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,647-882-0096,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a762e91e-20bf-4a47-9950-2df85d58148b/resume,,,,,,2020-07-18T03:51:04.215Z,2020-09-15T16:39:56.501Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,Not Found,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Health Informatics,"Health, Technology (Information and Media), Technology (Product Development), Telecommunications",Co-op,,University of Toronto,True,True,True,True bea08597-8b16-4808-8c79-fabbefcb9609,yhj723@schulich.yorku.ca,Huijun,Yu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/bea08597-8b16-4808-8c79-fabbefcb9609/resume,,,,,,2022-01-07T01:34:29.952Z,2022-01-11T23:07:00.415Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/connect-carinayu/,,,,,,,,,True,True,True,True @@ -4500,6 +4553,8 @@ d926dfe2-d0d5-4f85-8a20-6e35d289ac09,anny.huang@rotman.utoronto.ca,Anny,Huang,ht c088e9cd-cada-4720-b0af-1da4623ea794,tanmayd289@gmail.com,Tanmay,Daulatwal,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/tanmay-daulatwal/,,True,False,,,,,,linkedin,2023-03-24T12:15:31.701Z,2023-05-10T03:08:12.523Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/tanmay-daulatwal/,,,,,,,,,True,True,True,True fe382482-8757-405e-b536-79d80e36d952,wanyiyan@hotmail.com,Yiyan,Wan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/yiyan-james-wan-11903248/,,True,False,,,,,,,2023-06-08T03:42:14.027Z,2023-06-08T03:42:14.061Z,False,False,Not Affiliated with Vector,No,Unsure,,Already Graduated,RBC employee,Mr.,https://www.linkedin.com/in/yiyan-james-wan-11903248/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Data Science,"Financial Services, Professional Services (e.g Consulting), Technology (Product Development)","Contract, Capstone Project","Data Scientist, Machine Learning Engineer, Product/Project Manager",University of Toronto,True,False,True,True 9d95040b-e407-409f-9dd8-ed0942021f08,yigit.aydede@smu.ca,Yigit,Aydede,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,https://yaydede.github.io,,https://www.linkedin.com/in/yigit-aydede-861a7387/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9d95040b-e407-409f-9dd8-ed0942021f08/resume,Halifax,Nova Scotia,,Canada,,2023-06-08T03:52:28.448Z,2023-06-08T03:52:28.483Z,True,True,Unaffiliated PhD Graduate/Candidate,Yes,Post Graduate Affiliate,,Already Graduated,,Dr.,https://www.linkedin.com/in/yigit-aydede-861a7387/,"Bayesian methods, Data science, Deep learning, Gaussian processes, Generative modeling, Graphical models, Healthcare and/or medical imaging, Interpretability, Machine learning, Optimization, Recommender systems, Statistical learning theory, Time-series forecasting and modelling",Postgraduate Degree (PhD),Senior Level (5+ Years),Economics,"Education, Financial Services, Health, Public Administration (i.e Gov't), Retail, Technology (Product Development)","Full Time, Contract","Data Engineer, Data Scientist, Machine Learning Researcher/Scientist ",Other,True,True,True,True +0e7da70b-b723-4d51-868e-2f2db598e43a,mohamad.khosravani97@gmail.com,Mohamad,Khosravani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-14T16:50:36.669Z,2023-05-08T01:09:14.914Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/mohamad-khosravani/,"Deep learning, Generative modeling, Natural language processing, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science with Specialization in Artificial Intelligence,Type of Work is More Important to me than Sector,Internship,"Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Lakehead University,True,True,True,True +6e1a412e-8e09-4f32-8e85-c155e40a2625,oskarmoesmand@gmail.com,Oskar Lang,Moesmand,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/oskar-lang-moesmand-128ab1269/,,True,False,,,,,,linkedin,2023-07-09T22:47:11.482Z,2023-07-09T22:47:11.505Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/oskar-lang-moesmand-128ab1269/,,,,,,,,,True,False,True,True bf1ccc0d-d00e-4c65-96b5-e216734c535e,sedef.kocak@vectorinstitute.ai,Sedef,Kocak,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-11-13T19:29:16.789Z,,False,False,Internal Staff,Yes,,,,,,https://www.linkedin.com/in/sedefakocak/,,,,,,,,,,,, 09458b1a-e17d-410c-b707-23a7ca2d9014,andrea.navabarrios@vectorinstitute.ai,Andrea,Navabarrios,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-11-18T22:05:29.693Z,,False,False,Internal Staff,Yes,,,,,,https://www.linkedin.com/in/andrea-nava-barrios-b25341170/,,,,,,,,,,,, e22f85d0-5ecb-478a-a448-4417d1611f36,natalie.klym@vectorinstitute.ai,Natalie,Klym,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-11-18T22:05:30.115Z,,False,False,Internal Staff,Yes,,,,,,https://www.linkedin.com/in/natalie-klym-ab93a02/,,,,,,,,,,,, @@ -4649,10 +4704,8 @@ f8e60d5a-5474-4214-86be-f09ddd48907f,21esm2@queensu.ca,Ella,Morgan,https://talen bc855edc-c729-4d37-a712-a3ee2cdd07ac,m59wu@uwaterloo.ca,Meng,Wu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-09T12:59:56.368Z,2023-01-13T15:53:04.755Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/meng-wu-7b9227186/,,,,,,,,,True,True,True,True 296743e0-8c0f-4296-91c1-a0b5370f27db,diyapancholi22@gmail.com,Diya,Pancholi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-01-13T21:14:54.625Z,,False,False,Recognized Masters Program,Yes,,,,,,http://linkedin.com/in/diya-pancholi-34b0b81b1,,,,,,,,,,,, f8962cca-ba53-4e80-b2e1-c85f3de100dc,21mm96@queensu.ca,Marissa,McNeelands,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-01-13T21:14:55.829Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/marissamcneelands/,,,,,,,,,,,, -f74a26c1-8010-4fa8-9c1a-9a278d9517a3,artin.majd76@gmail.com,Artin,Majd,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,AI Master Student at Toronto Metropolitan University,+14372659091,,,,https://www.linkedin.com/in/artin-majd/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/f74a26c1-8010-4fa8-9c1a-9a278d9517a3/resume,Toronto,Ontario,,Canada,,2022-09-09T13:00:02.217Z,2023-01-07T21:23:11.906Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2024 (April - July),,Mr.,http://linkedin.com/in/artin-majd,"Computer vision, Data science, Deep learning, Generative modeling, Machine learning, Natural language processing, Recommender systems, Reinforcement learning, Self-supervised learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),"M.Eng Electrical and Computer Engineering, AI Concentration",Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Product/Project Manager",Ryerson University,True,True,True,True d12de40a-5bca-4e9b-be6c-039a0379152a,utsavdas97@gmail.com,Utsav,Das,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,False,False,,,,,,,2023-01-13T21:14:56.618Z,2023-01-16T18:46:51.257Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/das-utsav/,,,,,,,,,True,True,True,True 6323f59a-0154-4b00-b863-9f04a3529afd,22en12@queensu.ca,Emmanuella,Nweze,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-01-18T19:02:57.972Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/emmanuella-ella-nweze/,,,,,,,,,,,, -5441f56b-b9be-4164-a09a-f22f461f70bb,s3srivat@uwaterloo.ca,Shruti,Srivatsan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Aspiring Machine Learning Engineer,,+12268998356,,,,https://www.linkedin.com/in/shruti-srivatsan-27s/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/5441f56b-b9be-4164-a09a-f22f461f70bb/resume,Waterloo,Ontario,,Canada,,2022-11-07T22:17:52.750Z,2022-12-22T18:37:24.632Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2024 (April - July),,Ms.,https://www.linkedin.com/in/shruti-srivatsan-27s/,"Bioinformatics, Data science, Healthcare and/or medical imaging, Machine learning, Natural language processing, Recommender systems, Transfer learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Science and Artificial Intelligence,"Education, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Internship, Co-op, Capstone Project","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",University of Waterloo,True,True,True,True e164f447-5225-4027-8ebb-265f0924b316,vrkh1996@gmail.com,Vahid Reza,Khazaie,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-01-25T14:50:09.487Z,2023-01-20T17:32:26.031Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/vrkhazaie/,"Computer vision, Data science, Deep learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Full Time, Internship, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Western University,True,True,True,True a78d9a3d-1fb1-4473-8be7-3b590f39a18c,arminsdt@ece.ubc.ca,Armin,Saadat,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,2363088333,,,,,,False,False,https://canadaai.jobboard.io/api/v1/profiles/a78d9a3d-1fb1-4473-8be7-3b590f39a18c/resume,Vancouver,British Columbia,,Canada,,2022-11-02T17:36:29.113Z,2023-01-18T01:40:11.743Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,British Columbia,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/armin-saadat/,"Deep learning, Healthcare and/or medical imaging, Machine learning, Quantum computing, Self-supervised learning, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Electrical & Computer Engineering,"Education, Financial Services, Health, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development), Transportation",Internship,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True 035002ec-2e72-4c51-b212-04f64686c3f7,samfalcao.15@gmail.com,Samantha,Falcao,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-12-22T19:56:28.109Z,2023-01-12T22:15:26.517Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/samantha-falcao/,,,,,,,,,True,,True,True @@ -4666,56 +4719,104 @@ c39643eb-60e6-4b86-b973-0229f46d1a38,shaelakhan@gmail.com,Shaela,Khan,https://ta 8065b575-14be-4fdd-ac5b-e852f1d04969,maraheem@uwaterloo.ca,Muritala ,Raheem,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-02-10T11:52:02.844Z,2023-02-10T11:52:02.910Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Mr.,N/A,"AI safety, Anomaly detection",Graduate Degree (Masters),Entry Level (0-2 Years),"Computer Networks,Security and AI",Telecommunications,"Full Time, Internship, Contract, Capstone Project","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer",University of Waterloo,True,True,True,True 5ec5a17a-c563-4ab0-9b07-af6dbf34e118,rustonfellows@gmail.com,Ruston,Fellows,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-02-22T05:38:57.158Z,2023-02-22T05:38:57.202Z,False,False,Not Affiliated with Vector,No,Unsure,,Already Graduated,Prospective Student/ Employee,Mr.,N/A,"Bioinformatics, Computational biology, Law, ethics and policy, Meta-learning, Neuroscience, Physics, Quantum computing, Wearable technology and/or Internet of Things",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Integrated Sciences BSc,"Construction or Infrastructure, Education, Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project",Other ,Carleton University,True,True,True,True 4dd0ea25-df9f-4e7a-bae5-b212e45f1c17,tosca.lechner@gmail.com,Tosca,Lechner,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-02-20T13:08:56.688Z,2023-02-20T13:08:56.728Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Shai Ben-David,Spring/Summer 2024 (April - July),,Ms.,N/A,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science (PhD),"Education, Health, Public Administration (i.e Gov't), Type of Work is More Important to me than Sector","Full Time, Internship",Machine Learning Researcher/Scientist ,University of Waterloo,True,True,True,True +6e7b0560-6c3d-41ce-9d5d-f6c25fca1011,yyy0404@gmail.com,Seung Hee (Sonia),Yun,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,False,False,https://canadaai.jobboard.io/api/v1/profiles/6e7b0560-6c3d-41ce-9d5d-f6c25fca1011/resume,,,,,linkedin,2023-04-14T20:05:25.414Z,2023-04-14T20:05:25.435Z,True,False,Other Vector Programming,Yes,Other Vector Programming,,Already Graduated,,Ms.,https://www.linkedin.com/in/seung-hee-sonia-yun-a7033a1a4/,,Undergraduate Degree (Bachelors),Senior Level (5+ Years),Economics and Geography (Double major),"Financial Services, Professional Services (e.g Consulting), Type of Work is More Important to me than Sector","Full Time, Contract",Business Analyst/Business Intelligence Analyst ,York University,True,True,True,True +e850a7c7-c6c1-4106-8d10-1ce720274c9a,j25wong@gmail.com,Jennifer,Wong,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e850a7c7-c6c1-4106-8d10-1ce720274c9a/resume,,,,,,2023-04-17T01:42:34.356Z,2023-04-17T02:43:06.342Z,True,False,Other Vector Programming,Yes,Other Vector Programming,,Other/Undetermined,,Ms.,N/A,"Healthcare and/or medical imaging, Neuroscience, Wearable technology and/or Internet of Things",Postgraduate Degree (PhD),Senior Level (5+ Years),"Industrial Engineering (MASc), Health Systems Research (PhD candidate)","Education, Health, Public Administration (i.e Gov't)","Full Time, Contract","Product/Project Manager, Other ",University of Toronto,True,True,True,True 33fd4ee0-8312-43aa-96a7-7f1a647751c7,cheng.chi@mail.utoronto.ca,Cheng,Chi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2023-03-07T14:03:24.355Z,2023-03-07T14:03:24.380Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,False,True,True ee5336f4-4166-4798-a234-494cf9cf274e,hpate158@uottawa.ca,Harsh,Patel,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-08-11T17:59:17.936Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/harshpatel1242,,,,,,,,,,,, c389d394-4782-4f43-9a5d-4e42667d8d44,herrea3@mcmaster.ca,Alberto,Herrera,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-01-13T20:27:33.095Z,,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/alberto-herrera-1461ab32/,,,,,,,,,,,, -6e7b0560-6c3d-41ce-9d5d-f6c25fca1011,yyy0404@gmail.com,Seung Hee (Sonia),Yun,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,False,False,https://canadaai.jobboard.io/api/v1/profiles/6e7b0560-6c3d-41ce-9d5d-f6c25fca1011/resume,,,,,linkedin,2023-04-14T20:05:25.414Z,2023-04-14T20:05:25.435Z,True,False,Other Vector Programming,Yes,Other Vector Programming,,Already Graduated,,Ms.,https://www.linkedin.com/in/seung-hee-sonia-yun-a7033a1a4/,,Undergraduate Degree (Bachelors),Senior Level (5+ Years),Economics and Geography (Double major),"Financial Services, Professional Services (e.g Consulting), Type of Work is More Important to me than Sector","Full Time, Contract",Business Analyst/Business Intelligence Analyst ,York University,True,True,True,True -e850a7c7-c6c1-4106-8d10-1ce720274c9a,j25wong@gmail.com,Jennifer,Wong,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e850a7c7-c6c1-4106-8d10-1ce720274c9a/resume,,,,,,2023-04-17T01:42:34.356Z,2023-04-17T02:43:06.342Z,True,False,Other Vector Programming,Yes,Other Vector Programming,,Other/Undetermined,,Ms.,N/A,"Healthcare and/or medical imaging, Neuroscience, Wearable technology and/or Internet of Things",Postgraduate Degree (PhD),Senior Level (5+ Years),"Industrial Engineering (MASc), Health Systems Research (PhD candidate)","Education, Health, Public Administration (i.e Gov't)","Full Time, Contract","Product/Project Manager, Other ",University of Toronto,True,True,True,True 37b2c3db-4baa-453d-9061-a42711194a59,bhatia42@uwindsor.ca,Laveen,Bhatia,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,MSC - Computer Science - University of Windsor,"I am an AI enthusiast, pursuing a Masters's Degree in Computer Science (Thesis based with AI specialization) at the University of Windsor, Canada. My interest lies in Data Science, Machine Learning, and Deep Learning. I have 1.5 years of industry experience using Python and SQL for ETL processes. I have also worked on various academic and personal projects involving Computer Vision, Natural Language Processing, Statistical Learning, and Prediction based modeling. Skilled in using various ML tools such as Tensorflow, Scikit-learn, pandas, NumPy, and matplotlib. You can check out my work at - https://github.com/laveenbhatia",437-775-9752,,https://github.com/laveenbhatia,,https://www.linkedin.com/in/laveen-bhatia/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/37b2c3db-4baa-453d-9061-a42711194a59/resume,Windsor,Ontario,,Canada,,2021-09-01T20:47:42.067Z,2023-05-07T17:12:47.297Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/laveen-bhatia/,"Computer vision, Data science, Deep learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,Type of Work is More Important to me than Sector,"Full Time, Internship, Contract","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Windsor,True,True,True,True -ef1a43c2-5671-4031-ab57-850017dd4314,shamisa.kp@gmail.com,Shamisa,Kaspour,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,5195900498,,,,https://www.linkedin.com/in/shamisa-kp/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/ef1a43c2-5671-4031-ab57-850017dd4314/resume,Waterloo,Ontario,,Canada,,2020-08-28T15:00:52.343Z,2023-04-05T23:17:24.036Z,True,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Ms.,https://www.linkedin.com/in/shamisa-kp/,"AI safety, Deep learning, Generative modeling, Machine learning, Meta-learning, Privacy, anonymity, and/or security",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,,"Full Time, Internship","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Lakehead University,True,True,True,True -27617184-5e11-4fda-9b02-7861d4ba7edb,dhruvpatel.dp767@gmail.com,Dhruv,Patel,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-04-27T00:56:12.269Z,2023-04-27T00:56:12.318Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Mr.,N/A,,Graduate Degree (Masters),Mid-Level (3-5 Years),Masters,,"Internship, Co-op, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",McMaster University,True,True,True,True 8328bb12-173e-4c7f-92d7-51194c0884db,darling.oscanoa@gmail.com,Darling,Oscanoa,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-05-18T04:40:11.215Z,2023-05-18T04:40:11.279Z,False,False,Not Affiliated with Vector,No,Other Vector Programming,,Winter 2025 (December 2024 - March 2025),II am Lambton College student for AI & ML Program,Mr.,N/A,"Data science, Graphical models, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),"The Lambton College Artificial Intelligence and Machine Learning, Ontario College Graduate Certificate",,"Internship, Co-op","Data Scientist, Machine Learning Engineer",Other,True,True,True,True -23345762-231b-4725-85d3-dd09a75e93ab,zjn15222509746@gmail.com,Jianing,Zhang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,False,False,,,,,,,2023-01-29T07:47:37.646Z,2023-03-31T16:16:26.239Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/jianing-zhang-0a311b183/?originalSubdomain=ca,"Data science, Machine learning, Optimization",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Science and Artificial Intelligence,"Financial Services, Technology (Information and Media), Technology (Product Development)","Internship, Co-op","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Waterloo,True,True,True,True bfa55b73-934e-4418-b5f5-04e1a62880cd,ylian@schulich.yorku.ca,Yunyi,Lian,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,3658806888,,,,https://www.linkedin.com/in/alex-yunyi-lian/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/bfa55b73-934e-4418-b5f5-04e1a62880cd/resume,Toronto,Ontario,,Canada,,2022-09-21T20:23:20.363Z,2023-05-19T05:37:50.138Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/alex-yunyi-lian-952a6917a/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management in Artificial Intelligence,,"Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",York University,True,True,True,True +b92d7709-e140-4bbd-ac4b-45e41965d64c,kaleb.huneau@vectorinstitute.ai,Kaleb,Huneau,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,False,False,,,,,,,2023-05-23T18:40:57.195Z,2023-05-23T18:40:57.235Z,False,False,Other Vector Programming,Yes,Other Vector Programming,,Spring/Summer 2024 (April - July),FastLane Analyst Intern,Mr.,https://www.linkedin.com/in/kaleb-huneau-34a906206/,"Bioinformatics, Deep learning, Natural language processing",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Mathematics and Computer Engineering,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Queen's University,True,True,True,True +0b2da5e1-fa3f-4a05-91e3-d4b6e5954da5,cherrera715@gmail.com,Catalina,Herrera,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/catalina-herrera-44841a66/,,True,False,,,,,,,2023-05-24T16:46:59.577Z,,False,False,Other Vector Programming,Yes,,,,,,https://www.linkedin.com/in/catalina-herrera-44841a66/,,,,,,,,,,,, +7fa513bd-523b-4ec8-ad3c-221854736e4c,annemei.989@gmail.com,Anne,Mei,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/anne-mei/,,True,False,,,,,,,2023-05-24T16:46:59.462Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/anne-mei/,,,,,,,,,,,, +f478f3cb-ce22-49bd-bc8b-f8a206ce58ee,patelmayur36@hotmail.com,Mayur,Patel,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/mayur-patel05/,,True,False,,,,,,,2023-05-24T16:47:00.243Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/mayur-patel05/,,,,,,,,,,,, +c4f83f06-f647-4a6c-8a15-a8b52723130d,sabouri.sadra@gmail.com,Sadra,Sabouri,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/sadrasabouri/,,True,False,,,,,,,2023-05-24T17:06:29.104Z,,False,False,,Yes,,,,,,https://www.linkedin.com/in/sadrasabouri/,,,,,,,,,,,, +b521bead-9c9d-4d3c-b90d-da8787917ebb,pouryamz19@gmail.com,Sayyed,Esfahani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/pourya-momtaz/,,True,False,,,,,,,2023-05-24T17:06:29.273Z,,False,False,Vector Scholarship Recipient,Yes,,,,,,https://www.linkedin.com/in/pourya-momtaz/,,,,,,,,,,,, +00988114-c702-499d-a267-be0e1afc3905,veronica.grigorev@gmail.com,Veronika,Grigoreva,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/veronika-grigoreva-a61209245/,,True,False,,,,,,,2023-05-24T17:06:29.528Z,,False,False,,Yes,,,,,,https://www.linkedin.com/in/veronika-grigoreva-a61209245/,,,,,,,,,,,, d95c76f9-01fe-4648-92f6-45d026d52764,asahebpa@uwaterloo.ca,Ali,Saheb Pasand,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,MMath Student in CS at the University of Waterloo,,,,,,https://www.linkedin.com/in/ali-saheb-pasand-905773182/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/d95c76f9-01fe-4648-92f6-45d026d52764/resume,,,,,linkedin,2022-01-29T22:31:58.809Z,2023-01-22T22:48:48.407Z,True,True,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Professor Ali Ghodsi,Winter 2023 (December 2022 - March 2023),I am a master's student of one of Vector Faculty Affiliate,Mr.,https://www.linkedin.com/in/ali-saheb-pasand-905773182/,"Adversarial learning, Bioinformatics, Computer vision, Data science, Deep learning, Generative modeling, Healthcare and/or medical imaging, Interpretability, Machine learning, Meta-learning, Natural language processing, Neuroscience, Optimization, Privacy, anonymity, and/or security, Quantum computing, Reinforcement learning, Robotics, Self-supervised learning, Statistical learning theory, Time-series forecasting and modelling, Unsupervised learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,"Education, Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Contract","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Waterloo,True,True,True,True 7dd2459a-f9b1-46de-9b12-78a2a2aa01fa,sushrut2@gmail.com,Sushrut,Dhaka,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,https://github.com/root-dh-94,,https://www.linkedin.com/in/sushrutdhaka/,,True,False,,,,,,,2023-04-10T05:40:10.981Z,2023-04-10T05:40:11.021Z,True,True,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/sushrutdhaka/,"Computer vision, Natural language processing, Robotics",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science (Computer Vision),,"Full Time, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,False,True,True 51dba269-e7e6-4c71-9e8f-e3cd4f93aceb,jay.gaglani1997@gmail.com,Jay,G,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2023-04-08T18:33:04.718Z,2023-04-08T18:33:04.745Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,False,True,True ae90cb2b-caa5-41ad-9524-35bee57b1ec8,x858wang@uwaterloo.ca,Xiyao,Wang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-20T15:15:21.692Z,2023-01-19T18:45:20.255Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/xiyao-wang-65b1b1165,,,,,,,,,True,True,True,True +ef1a43c2-5671-4031-ab57-850017dd4314,shamisa.kp@gmail.com,Shamisa,Kaspour,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,5195900498,,,,https://www.linkedin.com/in/shamisa-kp/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/ef1a43c2-5671-4031-ab57-850017dd4314/resume,Waterloo,Ontario,,Canada,,2020-08-28T15:00:52.343Z,2023-04-05T23:17:24.036Z,True,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Ms.,https://www.linkedin.com/in/shamisa-kp/,"AI safety, Deep learning, Generative modeling, Machine learning, Meta-learning, Privacy, anonymity, and/or security",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,,"Full Time, Internship","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Lakehead University,True,True,True,True +27617184-5e11-4fda-9b02-7861d4ba7edb,dhruvpatel.dp767@gmail.com,Dhruv,Patel,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-04-27T00:56:12.269Z,2023-04-27T00:56:12.318Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Mr.,N/A,,Graduate Degree (Masters),Mid-Level (3-5 Years),Masters,,"Internship, Co-op, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",McMaster University,True,True,True,True d37c1728-2e5a-4da2-ade0-23e1ab673d50,aswinraj.giri@mail.utoronto.ca,Aswin,Raj Giri,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/aswinraj96/,,True,False,,,,,,,2023-03-31T15:41:40.253Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/aswinraj96/,,,,,,,,,,,, c7a38a19-bc4d-4225-83b9-4859b5c9cd92,humar@uoguelph.ca,Hauwa,Umar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-20T15:14:35.870Z,,False,False,Vector Scholarship Recipient,Yes,,,,,,N/A,,,,,,,,,,,, 61995ae3-563b-4771-a51d-a4764964564a,nehasunil.ns@gmail.com,Neha,Sunil,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Analyst,"Initiative-driven, quick to learn, aspiring Data Analyst with over 2 years of experience in data preparation, data analysis, and statistical tool sets including Power BI, Tableau and SQL. Advanced Excel skills and strong technical proficiency gained through education and business experience. Confident communicator with a growth mindset and a commitment to continuous learning. Ability to disseminate information with internal and external stakeholders. Analytical thinker with strong problem-solving skills and a focus on data-driven decision making.",4168580222,,,,https://www.linkedin.com/in/neha-sunil21/,,False,False,,,,,,,2023-03-31T15:41:42.298Z,2023-03-31T20:00:57.227Z,True,True,,,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Ms.,,"Bayesian methods, Data science, Deep learning, Natural language processing, Time-series forecasting and modelling, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Data Science and Analytics,"Construction or Infrastructure, Financial Services, Health, Professional Services (e.g Consulting), Retail, Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst",Ryerson University,True,True,True,True 596d647d-d2b2-48a1-8f02-a0606c234714,info@normananderson.com,Norman,Anderson,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-04-03T03:26:26.308Z,2023-04-03T03:26:26.343Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Winter 2025 (December 2024 - March 2025),,Mr.,N/A,"Computer vision, Data science, Deep learning, Game theory, Machine learning, Reinforcement learning",Graduate Degree (Masters),Entry Level (0-2 Years),"Computer Science, Machine Learning Specialization","Construction or Infrastructure, Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op","Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer",Queen's University,True,True,True,True +23345762-231b-4725-85d3-dd09a75e93ab,zjn15222509746@gmail.com,Jianing,Zhang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,False,False,,,,,,,2023-01-29T07:47:37.646Z,2023-03-31T16:16:26.239Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/jianing-zhang-0a311b183/?originalSubdomain=ca,"Data science, Machine learning, Optimization",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Science and Artificial Intelligence,"Financial Services, Technology (Information and Media), Technology (Product Development)","Internship, Co-op","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Waterloo,True,True,True,True +3a758c99-033a-40c5-9f5f-19a51f9e1e3c,farhanms@myumanitoba.ca,SOUMIK,FARHAN,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Graduate Research Assistant,"Love to work on the problems of machine learning domain, Have experience with working with deep learning with neuroimaging. Proficient in Python, PyTorch, Tensorflow",4319977770,,,,https://www.linkedin.com/in/soumik-farhan/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/3a758c99-033a-40c5-9f5f-19a51f9e1e3c/resume,Winnipeg,Manitoba,,Canada,,2021-06-02T13:19:20.365Z,2023-05-22T20:26:55.931Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/soumik-farhan/,"Computer vision, Data science, Deep learning, Machine learning, Neuroscience",Graduate Degree (Masters),Entry Level (0-2 Years),Biomedical Engineering,"Education, Health","Full Time, Internship, Capstone Project","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True +416b8ddf-d91d-4f4e-b605-a98d57967043,kevin.kasa@ryerson.ca,Kevin,Kasa,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,https://kevinkasa.github.io/,,https://www.linkedin.com/in/kevin-kasa/,,False,False,,,,,,,2022-08-25T18:32:54.915Z,2023-06-12T21:53:02.745Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Dr. Graham Taylor,Spring/Summer 2024 (April - July),,Mr.,N/A,"Computer vision, Generative modeling, Self-supervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),MASc. Computer Engineering,"Financial Services, Health, Professional Services (e.g Consulting), Software","Full Time, Internship, Co-op, Contract","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Guelph,True,True,True,True +d300fcc1-2703-4de2-94fa-e02a237df3bb,akhisti@ece.utoronto.ca,Ashish,Khisti,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Looking for Challenging Research Oriented Positions in Machine Learning,"Ashish Khisti is a full Professor at the University of Toronto in the department of Electrical and Computer Engineering. He is also a faculty affiliate at the Vector Institute. His current research interests include application of deep learning techniques to solve engineering problems across various domains. He also has a strong background in the field of telecommunication systems, information theory and data compression. He research group actively publishes in the top ML conferences. ",4169787215,,https://www.comm.utoronto.ca/~akhisti/,,https://www.linkedin.com/in/ashish-khisti-7744045/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/d300fcc1-2703-4de2-94fa-e02a237df3bb/resume,Toronto,Ontario,,Canada,,2023-06-13T02:45:21.174Z,2023-06-16T00:43:57.120Z,True,False,Connected to Vector Research,Yes,Vector Faculty or Faculty Affiliate,,Already Graduated,,Dr.,https://www.linkedin.com/in/ashish-khisti-7744045/,"Computer vision, Data science, Representation learning",Postgraduate Degree (PhD),Senior Level (5+ Years),Electrical and Computer Engineering,"Education, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Contract",Machine Learning Researcher/Scientist ,University of Toronto,True,True,True,True +43cee132-e35e-42b9-b9fd-b0eb0ae15882,amit.sandhel@gmail.com,Amit,Sandhel,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Software Developer,"I have completed a Masters of Engineering +in Mechanical and Industrial Engineering degree at the University of Toronto. I am confident that my 8 years +of experience building production level software systems and my can do attitude as an ideal candidate for +this opportunity. I am a great analytical and deep-dive thinker with the ability to solve complex and +challenging problems. I have worked across multiple industries ranging from medicine, chemistry, energy, +transportation, chemical engineering, business and teaching. I have three major skills to provide, automation, +UX/UI design for Human Computer Interactions (HCI) and data analytics including ontologies, AI and ML +with messy real-world data.",647-785-9942,,https://amitsportfolio1.wordpress.com/,,https://linkedin.com/in/amit-sandhel-46062653,,True,False,,Brampton,Ontario,,Canada,linkedin,2020-09-25T16:28:03.407Z,2020-09-25T16:28:03.422Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://linkedin.com/in/amit-sandhel-46062653,,Graduate Degree (Masters),Senior Level (5+ Years),Masters of Engineering Mechanical and Industrial Engineering at the University of Toronto,"Construction or Infrastructure, Education, Health, Manufacturing , Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract",,University of Toronto,True,False,True,True +031499dd-55f3-489e-9240-d34e731c9638,carlos.guzman@guzgon.com,CARLOS,GUZMAN,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Experienced Manager ,"Leverage business opportunities in Fortune 1000 companies to implement multiple IT initiatives. Lead concurrent high-visibility programs in complex matrix environments, working with multidisciplinary/global teams at different organizational levels. Detail-oriented self-starter, adept at executing under conditions of uncertainty and stress. Out-of-the-box critical thinker recognized for strategically reshaping the company’s future. Synthesize complex issues and provide solutions to C-level, using strong analytical skills. +Build consensus with customers, employees, and service providers in multinational/multicultural environments, consistently exceeding client expectations and customer service. Use excellent leadership skills to develop high-performing teams that work collaboratively towards achieving objectives in a friendly and constructive environment. Effective communicator, sustaining engagement with a wide variety of stakeholders via proactive program governance. +",416 786 9861 ,,,,https://www.linkedin.com/in/carlos-a-guzman,,True,False,https://canadaai.jobboard.io/api/v1/profiles/031499dd-55f3-489e-9240-d34e731c9638/resume,Toronto,Ontario,,Canada,,2020-10-05T20:26:42.533Z,2020-10-06T13:58:11.128Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Already Graduated,,Mr.,https://www.linkedin.com/in/carlos-a-guzman,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Management on Analytics,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media)","Full Time, Contract",,Queen's University,True,True,True,True +30d743a0-d906-4c61-988a-ae071d0bedf4,goldnslim@gmail.com,Chika,Ibegbu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Experienced Data analyst/Data scientist,"A diligent data analyst with an advanced certificate in data science, an advanced data science diploma and over 7 years of business intelligence through supporting manufacturing and Information technology companies with process driven focus, ensuring visualization with graphical trends and dashboard presentations. I understand big data analysis in terms of ETL ,I posses predictive analytics, programming , data modelling, data cleaning and great communication skills. I also have good skills in SQL, Python, Power BI, SAS, Tableau, Microsoft BI, Microsoft excel . please check out my portfolio on https://chika-ibegbu.github.io/ChikaIbegbu.github.io/ , my codes on https://github.com/chika-ibegbu and my visualizations on https://public.tableau.com/profile/chika.ibegbu#!/",3653369123,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/30d743a0-d906-4c61-988a-ae071d0bedf4/resume,Toronto,Ontario,,Canada,,2022-02-07T12:27:36.459Z,2022-02-07T12:27:36.539Z,False,False,Connected to Vector Research,Yes,Post Graduate Affiliate,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/chika-ibegbu/,"AI safety, Data science, Machine learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Data Science,"Financial Services, Software, Technology (Information and Media)","Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",Other,True,True,True,True +1614d251-990b-4fb6-965c-fc3a1a7c5582,chandramouli.sastry@gmail.com,Chandramouli,Shama Sastry,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,2nd Year PhD Student,,902-580-0862,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/1614d251-990b-4fb6-965c-fc3a1a7c5582/resume,Halifax,Nova Scotia,,Canada,,2019-12-02T17:27:29.949Z,2021-12-11T22:50:58.945Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Dr. Sageev Oore,Other/Undetermined,,Mr.,https://www.linkedin.com/in/chandramoulisastry/,,Postgraduate Degree (PhD),Entry Level (0-2 Years),PhD,Type of Work is More Important to me than Sector,"Internship, Co-op",,Other,True,True,True,True +2b6838ee-2a11-4fe1-9a64-5899257bda02,rebecca.ngan@mail.utoronto.ca,Rebecca,Ngan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Registered Nurse | Executive Master of Health Informatics,"I'm a Registered Nurse for 13 years with extensive clinical experience ranging from acute care, primary health in low resource setting and international humanitarian projects. I'm currently enrolled in the Executive Master of Health Informatics at University of Toronto. My interest lies in improving quality and efficiency in the workflow of front line staff as well as improving access to healthcare in low resource setting through the use of technology. ",,,,,https://www.linkedin.com/in/rebecca-ngan-0190771b7/,,True,False,,Toronto,Ontario,,Canada,,2020-09-17T16:54:33.062Z,2020-09-21T13:44:32.066Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/rebecca-ngan-0190771b7,,Undergraduate Degree (Bachelors),Senior Level (5+ Years),Executive Master of Health Informatics,Health,"Full Time, Contract, Capstone Project",,University of Toronto,True,True,True,True +f76848a8-0b4e-402c-80db-9604f2014f21,q1yu@ryerson.ca,Peter,Yu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f76848a8-0b4e-402c-80db-9604f2014f21/resume,,,,,,2021-08-29T05:01:41.544Z,2021-09-11T17:58:04.611Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/peter-qinyun-yu/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Data science and analytics,"Financial Services, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Transportation","Full Time, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Ryerson University,True,True,True,True +0f57078c-3e6e-4354-b507-c34c947bf248,jasonzjc@mie.utoronto.ca,Jiachen,Zhang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Experienced Researcher,Engineering Ph.D. candidate passionate about artificial intelligence and operations research.,6478935856,,,,https://www.linkedin.com/in/jiachen-zhang-0094a118b/,,True,False,,Toronto,Ontario,,Canada,,2022-01-13T20:27:32.838Z,2022-01-17T13:55:17.454Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/jiachen-zhang-0094a118b/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),3rd,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Transportation, Type of Work is More Important to me than Sector",Internship,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",University of Toronto,True,True,True,True +645c1a01-5f8b-49a8-bfc9-32f6d5b66a6b,shayanko@eecs.yorku.ca,Shayan,Kousha,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,I'm a second-year master's student at York University working on modeling camera noise in the sRGB domain.,6479362130,,,,https://www.linkedin.com/in/shayan-kousha-742a32122/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/645c1a01-5f8b-49a8-bfc9-32f6d5b66a6b/resume,,,,,,2020-09-11T13:47:18.098Z,2022-01-03T16:20:14.162Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Marcus Brubaker,Already Graduated,,Mr.,https://www.linkedin.com/in/shayan-kousha-742a32122/,"Computer vision, Few-shot learning, Generative modeling",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer science,"Software, Type of Work is More Important to me than Sector","Full Time, Internship","Machine Learning Engineer, Machine Learning Researcher/Scientist ",York University,True,True,True,True +8f1466c5-2206-4707-b11d-f6b33952613e,20sm127@queensu.ca,Shitangshu,Maity,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Analyst ,,6477856581,,,,,,True,False,,Toronto,Ontario,,Canada,,2022-01-19T01:34:41.714Z,2022-01-19T01:34:41.777Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/shitangshu-maity/,"Machine learning, Natural language processing, Privacy, anonymity, and/or security, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),MASTER OF MANAGEMENT ANALYTICS,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",Queen's University,True,True,True,True +b4ec3408-83f2-4485-82c4-93996c33f6bd,cs19mtech11025@iith.ac.in,Chaitanya,Devaguptapu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-10-18T03:44:11.441Z,2021-10-18T03:44:11.498Z,False,False,Connected to Vector Research,Yes,Post Graduate Affiliate,Dr. Animesh Garg,Already Graduated,,Mr.,N/A,"Computer vision, Deep learning, Machine learning, Representation learning, Self-supervised learning, Transfer learning",Graduate Degree (Masters),Entry Level (0-2 Years),Masters in CS,"Education, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +7c677cb7-1550-46c9-921d-5409ecb7f318,vithursan.thangarasa@gmail.com,Vithursan,Thangarasa,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-02T17:41:05.655Z,2019-12-02T17:41:05.693Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,,,Mr.,https://www.linkedin.com/in/vithursant/,,,,Engineering Systems and Computing,"Financial Services, Telecommunications",Full Time,,University of Guelph,True,True,True,True +58bb4bc5-6184-4eb8-90b5-d88cbf9d7acc,copara3@uwo.ca,Chidera ,Opara ,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-12-25T02:21:35.142Z,2021-12-25T02:21:35.189Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,N/A,"Healthcare and/or medical imaging, Physics",Graduate Degree (Masters),Entry Level (0-2 Years),Medical Biophysics,,"Full Time, Capstone Project","Machine Learning Engineer, Machine Learning Researcher/Scientist ",Western University,True,True,True,True +814fdb0d-a836-4216-895e-618339fa28b0,oidahosa@bell.net,James,Idahosa,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-07-05T18:55:42.091Z,2020-07-05T18:55:42.119Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,,Mr.,https://www.linkedin.com/in/osaidahosa/,,Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Computer Science,Software,Full Time,,Carleton University,True,False,True,True +18019724-9942-4093-8e27-365146b29eb1,iparida@uwaterloo.ca,Ipsita,Parida,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Experienced Full Stack Developer. Student at University of Waterloo. Looking for opportunities in AI/ML area ,,(226) 581 0506,,,,https://www.linkedin.com/in/ipsitaparida/,,True,False,,Waterloo,Ontario,,Canada,,2022-05-12T14:22:40.537Z,2022-05-12T15:55:10.737Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Miss.,https://www.linkedin.com/in/ipsitaparida/,"Data science, Machine learning, Recommender systems",Graduate Degree (Masters),Mid-Level (3-5 Years),Systems Design Engineering ( AI/ ML specialization),"Financial Services, Professional Services (e.g Consulting), Retail, Software, Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Waterloo,True,True,True,True +86e70a26-28b8-42b3-9f15-6d33acbec072,mozhgan.saeidi@vectorinstitute.ai,Mozhgan,Saeidi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-04-24T00:02:29.400Z,2022-04-28T04:34:41.082Z,False,False,Internal Staff,Yes,Post Graduate Affiliate,,Already Graduated,I am a machine learning intern at the Vector engineering group,Ms.,N/A,"AI safety, Computational biology, Data science, Deep learning, Fairness, Few-shot learning, Generative modeling, Healthcare and/or medical imaging, Machine learning, Natural language processing, Neuroscience, Optimization, Recommender systems, Reinforcement learning, Representation learning, Robotics, Self-supervised learning, Statistical learning theory, Time-series forecasting and modelling, Unsupervised learning",Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Science,"Education, Health, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Scientist, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +f4f1da71-3cef-4efd-8292-b4560a4fd048,pxu67@uwo.ca,Pengcheng,Xu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,"I am currently a Ph.D. student in the C.S. department at Western University. Previously, I was a graduate student at the University of Maryland, College Park working on computer vision. I have done research intern at the U.S. Army Research Institute, Chinese University of Hong Kong, Shenzhen. +My research is about computer vision and transfer learning including domain adaptation on classification, segmentation, and detection tasks. Previously, I have also done research in deep reinforcement learning and graph neural networks.",,,,,https://www.linkedin.com/in/pengcheng-xu-082506134/,,True,False,,,,,,,2021-09-23T13:47:22.758Z,2021-09-23T13:47:22.789Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Student or Postdoc of a Vector Faculty Member,Boyu Wang,Fall 2024 (August - November),,Mr.,https://www.linkedin.com/in/pengcheng-xu-082506134/,"Computer vision, Deep learning, Transfer learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Vision and Artificial Intelligence,"Software, Technology (Information and Media)",Internship,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Western University,True,True,True,True +e9463e15-d1a7-4dc2-b044-3bfb36540b45,bonnie.chao@mail.utoronto.ca,Bonnie,Chao,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,PhD Candidate (Data Science in Medicine),,6478792748,,,,https://www.linkedin.com/in/bonnie-chao-293151104/,,True,False,,Toronto,Ontario,,Canada,,2021-09-01T20:47:45.496Z,2021-09-01T22:13:09.061Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,ON,Fall 2024 (August - November),,Ms.,https://www.linkedin.com/in/bonnie-chao-293151104/,"Computer vision, Data science, Healthcare and/or medical imaging",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Biomedical Engineering,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op, Contract, Capstone Project","Data Engineer, Data Scientist, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +b1936354-cc79-4b38-b3f2-ce30b6ecdebe,sendtodevyug@gmail.com,Devashish,Khairnar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-11-09T21:33:15.898Z,2021-11-10T16:31:51.953Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/devashishkhairnar/,,,,,,,,,True,True,True,True +af54183f-1e5c-4c39-adc0-aea2af3cb729,philipp.eibl@outlook.com,Philipp,Eibl,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-05-16T17:44:07.125Z,2022-05-16T17:44:07.162Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Frank Rudzicz,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/philippeibl/,"Adversarial learning, Generative modeling, Natural language processing",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science,Type of Work is More Important to me than Sector,"Full Time, Internship","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +3a83bc5d-84de-449c-a640-2b9bf034a760,mfarahani@mun.ca,Mozhgan,Farahani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,7092193097,,,,https://www.linkedin.com/in/mozhgan-farahani,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3a83bc5d-84de-449c-a640-2b9bf034a760/resume,Saint John's,Newfoundland and Labrador,,Canada,,2021-10-14T23:06:54.476Z,2022-05-21T10:41:17.716Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,Memorial University of Newfoundland,Already Graduated,,Miss.,https://www.linkedin.com/in/mozhgan-farahani/,"Computational biology, Computer vision, Data science, Deep learning, Game theory, Healthcare and/or medical imaging, Machine learning, Neuroscience, Online learning, Physics, Robotics",Graduate Degree (Masters),Mid-Level (3-5 Years),Mathematics,"Education, Financial Services, Health, Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True +222ebd5d-a339-4f81-8cfa-e45f9913102a,christoff.reimer@uottawa.ca,Christoff,Reimer,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Graduate Student Researcher,,,,,,https://www.linkedin.com/in/christoff-reimer/,,True,False,,Toronto,Ontario,,Canada,,2022-03-07T20:05:29.205Z,2022-03-08T03:48:48.205Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Isaac Tamblyn,Already Graduated,,Mr.,www.linkedin.com/in/christoff-reimer/,"Bioinformatics, Computational biology, Deep learning, Graphical models, Healthcare and/or medical imaging, Machine learning, Physics, Privacy, anonymity, and/or security",Graduate Degree (Masters),Entry Level (0-2 Years),Physics,"Financial Services, Health, Public Administration (i.e Gov't), Software, Technology (Product Development), Type of Work is More Important to me than Sector",Internship,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Ottawa,True,False,True,True +6eb350cc-271b-49a8-9950-5db518bcd7fb,17zf17@queensu.ca,Zhiwei,Fu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Researcher,,6474048711,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6eb350cc-271b-49a8-9950-5db518bcd7fb/resume,Kingston,Ontario,,Canada,,2022-05-05T16:28:04.082Z,2022-05-05T16:30:13.991Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,ONTARIO,Fall 2024 (August - November),,Mr.,N/A,"AI safety, Deep learning, Machine learning, Privacy, anonymity, and/or security",Graduate Degree (Masters),Entry Level (0-2 Years),MSc. in Artificial Intelligence,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op","Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",Queen's University,True,False,True,True +da58b079-2b3c-4cf7-a53d-280deb007a42,danfernan@gmail.com,Dan,Fernandez,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-04-19T03:23:50.950Z,2022-04-19T03:23:50.990Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Spring/Summer 2023 (April - July),,Mr.,N/A,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Management Analytics (MMA),Type of Work is More Important to me than Sector,Full Time,Other ,Queen's University,True,True,True,True +0aeba4b2-f4e7-450a-b5fb-9e4eaad91357,minfanzhang751@gmail.com,Minfan,Zhang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-03-10T13:58:48.556Z,2022-03-10T13:58:48.586Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Marzyeh Ghassemi,Already Graduated,,Mr.,https://www.linkedin.com/in/minfan-zhang-967690b0/,"Data science, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),MSc in Computer Science,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True +34d6b13e-2ec5-439e-8986-7765e4a12f29,ezgisaricoban@gmail.com,Ezgi,Saricoban,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-04-19T03:50:21.193Z,2022-04-26T20:18:32.641Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/ezgisaricoban/?originalSubdomain=ca,"Data science, Fairness",Graduate Degree (Masters),Mid-Level (3-5 Years),Management Analytics,Type of Work is More Important to me than Sector,Full Time,Other ,University of Toronto,True,True,True,True +6b9ed59b-b327-4ce9-9f16-ab82bce48c35,arvindpmenon@gmail.com,Arvind,Menon,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2022-05-01T03:43:02.334Z,2022-05-01T03:43:02.354Z,False,False,Vector Scholarship Recipient,Yes,,,,,,https://www.linkedin.com/in/arvind-menon-164939b0/?originalSubdomain=ca,,,,,,,,,True,True,True,True +f0b73004-9050-4fd0-b1ab-57aaf2970d4c,ashikamatt1@gmail.com,Ashika,Mattu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-06-03T21:30:05.284Z,2022-06-10T19:37:37.016Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Ms.,https://www.linkedin.com/in/ashika-mattu/,"Data science, Deep learning, Fairness, Law, ethics and policy, Machine learning, Natural language processing, Online learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Masters in IT Security with specialization in AI,"Education, Health, Software, Technology (Product Development), Transportation, Type of Work is More Important to me than Sector","Internship, Co-op","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer",OntarioTech University,True,False,True,True +fe66fd3e-d0be-49f9-a4fd-a87a61480058,shiva.akbari@mail.utoronto.ca,Shiva,Akbari,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,PhD Candidate ,Motivated PhD candidate in signal processing with a background in applied machine learning. Seeking internship in AI to gain hands-on experience. Outgoing and friendly with a strong drive to succeed.,4372208713,,,,https://www.linkedin.com/in/shiva-akbari-04606a84/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/fe66fd3e-d0be-49f9-a4fd-a87a61480058/resume,Toronto,Ontario,,Canada,,2022-08-26T19:00:55.240Z,2022-08-29T15:30:52.257Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Unsure,ON,Winter 2024 (December 2023 - March 2024),I am a PhD student in U of T (Electrical engineering),Miss.,https://www.linkedin.com/in/shiva-akbari-04606a84/,"Computer vision, Deep learning, Generative modeling, Machine learning, Online learning, Optimization, Quantum computing, Reinforcement learning, Representation learning, Robotics",Postgraduate Degree (PhD),Mid-Level (3-5 Years),4,"Financial Services, Health, Technology (Information and Media), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True +08a0837b-dd64-4c7f-a71a-5b4f166c722f,saeedforghani7@gmail.com,Saeed,Forghani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/saeedforghani/,,True,False,,,,,,,2022-08-18T20:11:46.191Z,2022-08-19T06:40:00.535Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/saeedforghani/,,,,,,,,,True,True,True,True +c214cbbe-8eac-42e1-81a8-9d820c97bece,ahmedanwar5295@gmail.com,Ahmed,Anwar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Management Engineering Student,"I am graduate research student at the University of Waterloo. My research interests lie in the intersection of Natural Language Processing, Human Computer Interaction and Computational Social Science.",5194654924,,https://sites.google.com/view/ahmedanwar/home,,https://www.linkedin.com/in/a26anwar/,a2anwar,True,False,https://canadaai.jobboard.io/api/v1/profiles/c214cbbe-8eac-42e1-81a8-9d820c97bece/resume,Waterloo,Ontario,,Canada,,2022-01-13T20:27:32.303Z,2022-05-12T16:06:55.444Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/a26anwar/,"Anomaly detection, Computer vision, Data science, Deep learning, Machine learning, Time-series forecasting and modelling, Transfer learning, Unsupervised learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),MASc Management Science,,Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Waterloo,True,True,True,True +d3701970-43d0-41fb-8f9c-3d6658cc9df8,19hl29@queensu.ca,Jerry,Liu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-02T20:55:52.601Z,2019-12-02T20:55:52.636Z,False,False,Recognized Masters Program,No,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/jerryzxliu/,,,,Master of Management in Artificial Intelligence,,"Full Time, Capstone Project",,Queen's University,True,True,True,True +2ee82dc7-b34f-4147-a1a3-7cdb930938b1,pritam.mfit2023@gmail.com,Pritam,Mukherjee,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2ee82dc7-b34f-4147-a1a3-7cdb930938b1/resume,,,,,,2022-10-23T14:48:17.082Z,2022-10-23T14:48:17.128Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/pritam-mukherjee-0b050717/,"AI safety, Anomaly detection, Machine learning, Privacy, anonymity, and/or security, Reinforcement learning, Time-series forecasting and modelling",Graduate Degree (Masters),Senior Level (5+ Years),Master of Financial Innovation & Technology,"Education, Financial Services, Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Capstone Project","Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Queen's University,True,True,True,True +4558e22d-c661-4b66-a473-7f6cc8a29393,nvierjakurawige7@gmail.com,Kurawige,Janvier,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,MSc Data Science and Analytics Student,,289 228 2799,,,,,,True,False,,Hamilton,Ontario,,Canada,,2022-09-20T15:14:51.780Z,2022-09-23T17:17:27.275Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2024 (August - November),,Mr.,https://www.linkedin.com/in/kurawige-janvier,"Bayesian methods, Data science, Deep learning, Machine learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),MSc Data Science and Analytics,,"Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",Ryerson University,True,True,True,True +3889f18b-f96c-4776-b0d5-3f44268d7e70,kulwantkinha18@gmail.com,Kulwant,Kinha,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6476757802,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3889f18b-f96c-4776-b0d5-3f44268d7e70/resume,Toronto,Ontario,,Canada,,2022-08-10T16:32:37.786Z,2022-08-10T16:34:25.838Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/kulwantkinha/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Masters of management in artificial intelligence,"Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Technology (Product Development)",Full Time,"Data Analyst, Data Scientist",York University,True,True,True,True +fb97586c-2eee-43a3-ab7b-b9e468ea7a77,byungki.cho@gmail.com,James,Cho,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Master of Management Analytics Candidate,,4379719722,,,,https://www.linkedin.com/in/james-cho-toronto,,True,False,https://canadaai.jobboard.io/api/v1/profiles/fb97586c-2eee-43a3-ab7b-b9e468ea7a77/resume,Toronto,Ontario,,Canada,,2022-08-18T20:43:29.028Z,2022-08-19T01:27:56.720Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,www.linkedin.com/in/james-cho-toronto,"Data science, Machine learning, Reinforcement learning",Graduate Degree (Masters),Senior Level (5+ Years),Master of Management Analytics,"Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer",University of Toronto,True,True,True,True +64ebf913-de8b-43c9-9ce7-ddf090b5b532,hanzifeifei@gmail.com,Feifei,Han,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-08-13T19:40:34.647Z,2022-08-29T19:10:45.987Z,False,False,Vector Scholarship Recipient,Yes,,,,,,https://www.linkedin.com/in/hanzifeifei/,,,,,,,,,True,True,True,True +b4523023-9448-4188-9b17-8a671acb50f5,archana.dhaka@mail.utoronto.ca,Archana,Dhaka,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6473234288,,,,https://www.linkedin.com/in/archanadhaka,,True,False,,Toronto,Ontario,,Canada,,2021-10-07T16:47:21.873Z,2022-08-29T16:18:33.001Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,University of Toronto,Spring/Summer 2023 (April - July),,Ms.,https://www.linkedin.com/in/archanadhaka/,"AI safety, Anomaly detection, Bayesian methods, Bioinformatics, Data science, Deep learning, Generative modeling, Graphical models, Healthcare and/or medical imaging, Interpretability, Machine learning, Natural language processing, Self-supervised learning, Statistical learning theory, Time-series forecasting and modelling, Unsupervised learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Mid-Level (3-5 Years),Health Informatics,"Health, Professional Services (e.g Consulting)","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Machine Learning Researcher/Scientist , Product/Project Manager",University of Toronto,True,True,True,True +508b56ff-88fc-47e5-be5b-b8a9c4ae4f36,nishkrit.desai@mail.utoronto.ca,Nishkrit,Desai,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Deep Learning Research Engineer,,4379926330,,https://ndes.ai,,,,True,False,,Toronto,Ontario,,Canada,,2022-09-07T15:27:01.936Z,2022-09-07T15:27:01.979Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Animesh Garg,Spring/Summer 2024 (April - July),,Mr.,None,"Computer vision, Deep learning, Generative modeling, Machine learning, Unsupervised learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),2019,"Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Internship, Co-op, Capstone Project","Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,False,True,True +54e32976-6eee-42b6-918f-6f1dea6728ab,amymakuto@gmail.com,Nyasha,Makuto,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-05-18T00:07:10.649Z,2022-08-09T03:19:34.230Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,Master's from another type of program/institute,Ms.,https://www.linkedin.com/in/nyasha-makuto/,,Graduate Degree (Masters),Entry Level (0-2 Years),Epidemiology,,"Full Time, Contract","Data Analyst, Data Scientist, Machine Learning Researcher/Scientist ",Lakehead University,True,False,True,True 3a43dc67-80ea-4e33-a12d-fb476a4dd9e9,anguy087@uottawa.ca,Anne,Nguyen,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Research Assistant,"IEEE ICC 2022 Accepted Publication: “Reinforcement Learning-Based Deadline and Battery-Aware Offloading in Smart Farm IoT-UAV Networks,” available here: https://arxiv.org/pdf/2201.10361.pdf",,,,,https://www.linkedin.com/in/annecnguyen/,,True,True,https://canadaai.jobboard.io/api/v1/profiles/3a43dc67-80ea-4e33-a12d-fb476a4dd9e9/resume,,,,,,2022-02-09T17:46:47.873Z,2022-08-06T10:04:59.370Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/annecnguyen/,"Machine learning, Natural language processing, Reinforcement learning",Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Science in Computer Science with Specialization in Artificial Intelligence,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,"Business Analyst/Business Intelligence Analyst , Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Ottawa,True,False,True,True 53f86546-d6c4-47c0-9704-4a7530f7af6d,joey.zhang@mail.utoronto.ca,Joey,Zhang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/joeyzhang1/,,True,False,,,,,,,2022-09-20T21:27:44.947Z,2022-09-20T21:27:44.993Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/joeyzhang1/,"Deep learning, Machine learning, Privacy, anonymity, and/or security",Graduate Degree (Masters),Entry Level (0-2 Years),Health Informatics,"Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development)","Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Product/Project Manager, Other ",University of Toronto,True,False,True,True eca4ee33-4cc0-45e5-9ddd-8bb69ad103f9,ishaan.sinha@queensu.ca,Ishaan,Sinha,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Analyst,,4167315597,,,,https://linkedin.com/in/ishaan-sinha-56a968167,,True,False,https://canadaai.jobboard.io/api/v1/profiles/eca4ee33-4cc0-45e5-9ddd-8bb69ad103f9/resume,Toronto,Ontario,,Canada,,2022-09-21T20:23:21.608Z,2022-09-22T06:29:15.716Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/ishaan-sinha-56a968167,"Data science, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics (MMA),"Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",Queen's University,True,True,True,True d8ac612d-8cec-4e9e-b96c-63a69c49663a,mcust094@uottawa.ca,Michel,Custeau,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,Currently a part-time data scientist at Justice Canada and pursuing a master's degree full time,,,,,https://www.linkedin.com/in/michel-custeau-112380155,,True,False,,,,,,,2022-09-21T20:23:18.824Z,2022-09-22T13:24:27.774Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/michel-custeau-112380155/,"Deep learning, Law, ethics and policy, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),Applied Artificial Intelligence,,Co-op,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Ottawa,True,True,True,True 1d0c76f4-6446-4a5e-aa25-fe7526453dd2,jsivaloganathan@ryerson.ca,Janakan,Siva,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,True,,,,,,,2022-09-16T13:46:50.705Z,2022-09-16T20:02:00.513Z,False,False,Internal Staff,Yes,Other/Unsure,,Winter 2024 (December 2023 - March 2024),Applied Machine Learning Intern,Mr.,https://www.linkedin.com/in/janakan2466/,"Data science, Deep learning, Fairness, Machine learning, Natural language processing",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Engineering: Software Engineering Option,"Financial Services, Software, Technology (Information and Media), Type of Work is More Important to me than Sector",Internship,"Data Scientist, Machine Learning Engineer, Software Engineer",Ryerson University,True,True,True,True 25ee8c0c-12c1-40ee-a0a1-b3f47f88de59,jasonchen.jiacheng@gmail.com,Jiacheng ,Chen,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,2042983352,,,,https://www.linkedin.com/in/jiachengjasonchen/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/25ee8c0c-12c1-40ee-a0a1-b3f47f88de59/resume,,,,,,2022-09-11T21:53:20.233Z,2022-09-11T21:53:20.281Z,False,False,Connected to Vector Research,Yes,Vector Faculty or Faculty Affiliate,Ontario,Spring/Summer 2024 (April - July),,Mr.,https://www.linkedin.com/in/jiachengjasonchen/,"Computer vision, Machine learning, Robotics",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Engineering Science,"Health, Software, Technology (Information and Media), Technology (Product Development)","Internship, Co-op","Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,False,True,True +0dab9625-ab73-4f26-9fbc-ddfb0bfea35c,joywang0126@gmail.com,ruoyu,wang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,"I'm a graduate of McGill University with a bachelor's degree in computer science. I will join the advanced computer science program at Oxford University this fall. My interest in software development and machine learning engineering. I'm specifically interested in embedding machine learning models in large-scale software systems. I’m now seeking opportunities as a software developer where I can implement my knowledge and contribute to the products and technologies in the modern CS industry. + +",,,,,,,True,True,https://canadaai.jobboard.io/api/v1/profiles/0dab9625-ab73-4f26-9fbc-ddfb0bfea35c/resume,,,,,,2022-08-24T06:25:18.154Z,2022-08-24T06:25:18.202Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Fall 2023 (August - November),recipient of the vector scholarship but didn't attend the program,Miss.,N/A,"Data science, Deep learning, Machine learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Advanced computer science,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Capstone Project","Data Engineer, Machine Learning Engineer, Software Engineer",Other,True,True,True,True 32b8a504-2ecc-477b-8e0e-086aa1f06d25,a.hajavi@queensu.ca,Amirhossein,Hajavi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6137701353,,https://amhajavi.github.io,,https://www.linkedin.com/in/amirhossein-hajavi-4841a1a4/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/32b8a504-2ecc-477b-8e0e-086aa1f06d25/resume,Kingston,Ontario,,Canada,,2022-06-09T20:56:04.208Z,2022-08-29T20:46:39.707Z,False,False,Connected to Vector Research,Yes,Other/Unsure,,Fall 2022 (August - November),Ph.D Student at Queen's University,Mr.,https://www.linkedin.com/in/amirhossein-hajavi-4841a1a4/,"Deep learning, Machine learning, Representation learning, Transfer learning, Unsupervised learning, Wearable technology and/or Internet of Things",Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Engineering,"Education, Health, Software, Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True 1c773388-d581-4d35-9a7c-ef2e3c5ee5a7,mohammadreza1.maleki@ryerson.ca,Mohammadreza,Maleki,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-12-22T19:55:56.553Z,2022-09-16T20:51:27.428Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/mohammadreza-maleki-4ab83a189/,,,,,,,,,True,False,True,True 87187795-f0f5-4d5c-b8b3-19cbf7d0015b,hosseini.svh@gmail.com,Siavash,Hosseini,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,https://scholar.google.com/citations?user=7v09aVQAAAAJ&hl=en,,https://www.linkedin.com/in/siavash-hosseini,,True,False,https://canadaai.jobboard.io/api/v1/profiles/87187795-f0f5-4d5c-b8b3-19cbf7d0015b/resume,,,,,,2022-09-16T18:22:53.975Z,2022-09-16T18:22:54.052Z,False,False,Not Affiliated with Vector,No,Other/Unsure,Ontario,Winter 2023 (December 2022 - March 2023),I am an AI advocate. I have been working in this field for about 5 years. I have several research papers in the field of Machine Learning,Mr.,https://www.linkedin.com/in/siavash-hosseini/,"Data science, Deep learning, Machine learning, Optimization, Time-series forecasting and modelling",Graduate Degree (Masters),Mid-Level (3-5 Years),Electrical and computer engineering,"Construction or Infrastructure, Type of Work is More Important to me than Sector",Full Time,"Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Lakehead University,True,True,True,True 2c3759e5-c536-4156-92bc-c5dd0eff6efb,yidi2023@yorku.ca,Yidi,Fan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,http://linkedin.com/in/yidi-fan-03872859,,True,False,,,,,,,2022-09-20T15:15:47.530Z,2022-09-22T12:46:04.737Z,False,False,Recognized Masters Program,Yes,Student or Postdoc of a Vector Faculty Member,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/yidi-fan-03872859/,"Data science, Machine learning, Optimization",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Business analytics,"Construction or Infrastructure, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Full Time, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",York University,True,True,True,True -692d2b68-7f12-49df-93cb-c08244a8f1fe,ahalwani@uwo.ca,Alaa,Halwani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-21T20:23:19.963Z,2022-09-22T11:44:12.569Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/alaa-halwani/,,,,,,,,,True,True,True,True -f4d70c98-d719-4ed1-8c48-c29ee204b052,igor.tryhub@rotman.utoronto.ca,Igor,Tryhub,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,True,,,,,,,2022-09-20T15:15:46.301Z,2022-09-22T07:26:43.984Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,N/A,,Graduate Degree (Masters),Mid-Level (3-5 Years),Management Analytics (MMA),,"Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",University of Toronto,True,True,True,True b2ae1406-8e81-4efc-9371-e3d9b8aed7e7,marut.patel@mail.utoronto.ca,Marut,Patel,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-09T13:00:00.649Z,2022-09-19T23:47:12.535Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/marutpatel6ab6a3187/,,,,,,,,,True,True,True,True 31707b31-94c7-4e8f-b2aa-6fbcd7070df6,edgaradel@gmail.com,Edgar,Adel,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-08-24T21:14:49.998Z,2022-09-20T01:35:49.008Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/edgaradel/,,,,,,,,,True,True,True,True -3889f18b-f96c-4776-b0d5-3f44268d7e70,kulwantkinha18@gmail.com,Kulwant,Kinha,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6476757802,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3889f18b-f96c-4776-b0d5-3f44268d7e70/resume,Toronto,Ontario,,Canada,,2022-08-10T16:32:37.786Z,2022-08-10T16:34:25.838Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/kulwantkinha/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Masters of management in artificial intelligence,"Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Technology (Product Development)",Full Time,"Data Analyst, Data Scientist",York University,True,True,True,True -fb97586c-2eee-43a3-ab7b-b9e468ea7a77,byungki.cho@gmail.com,James,Cho,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Master of Management Analytics Candidate,,4379719722,,,,https://www.linkedin.com/in/james-cho-toronto,,True,False,https://canadaai.jobboard.io/api/v1/profiles/fb97586c-2eee-43a3-ab7b-b9e468ea7a77/resume,Toronto,Ontario,,Canada,,2022-08-18T20:43:29.028Z,2022-08-19T01:27:56.720Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,www.linkedin.com/in/james-cho-toronto,"Data science, Machine learning, Reinforcement learning",Graduate Degree (Masters),Senior Level (5+ Years),Master of Management Analytics,"Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer",University of Toronto,True,True,True,True -64ebf913-de8b-43c9-9ce7-ddf090b5b532,hanzifeifei@gmail.com,Feifei,Han,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-08-13T19:40:34.647Z,2022-08-29T19:10:45.987Z,False,False,Vector Scholarship Recipient,Yes,,,,,,https://www.linkedin.com/in/hanzifeifei/,,,,,,,,,True,True,True,True -b4523023-9448-4188-9b17-8a671acb50f5,archana.dhaka@mail.utoronto.ca,Archana,Dhaka,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6473234288,,,,https://www.linkedin.com/in/archanadhaka,,True,False,,Toronto,Ontario,,Canada,,2021-10-07T16:47:21.873Z,2022-08-29T16:18:33.001Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,University of Toronto,Spring/Summer 2023 (April - July),,Ms.,https://www.linkedin.com/in/archanadhaka/,"AI safety, Anomaly detection, Bayesian methods, Bioinformatics, Data science, Deep learning, Generative modeling, Graphical models, Healthcare and/or medical imaging, Interpretability, Machine learning, Natural language processing, Self-supervised learning, Statistical learning theory, Time-series forecasting and modelling, Unsupervised learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Mid-Level (3-5 Years),Health Informatics,"Health, Professional Services (e.g Consulting)","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Machine Learning Researcher/Scientist , Product/Project Manager",University of Toronto,True,True,True,True -0dab9625-ab73-4f26-9fbc-ddfb0bfea35c,joywang0126@gmail.com,ruoyu,wang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,"I'm a graduate of McGill University with a bachelor's degree in computer science. I will join the advanced computer science program at Oxford University this fall. My interest in software development and machine learning engineering. I'm specifically interested in embedding machine learning models in large-scale software systems. I’m now seeking opportunities as a software developer where I can implement my knowledge and contribute to the products and technologies in the modern CS industry. - -",,,,,,,True,True,https://canadaai.jobboard.io/api/v1/profiles/0dab9625-ab73-4f26-9fbc-ddfb0bfea35c/resume,,,,,,2022-08-24T06:25:18.154Z,2022-08-24T06:25:18.202Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Fall 2023 (August - November),recipient of the vector scholarship but didn't attend the program,Miss.,N/A,"Data science, Deep learning, Machine learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Advanced computer science,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Capstone Project","Data Engineer, Machine Learning Engineer, Software Engineer",Other,True,True,True,True -508b56ff-88fc-47e5-be5b-b8a9c4ae4f36,nishkrit.desai@mail.utoronto.ca,Nishkrit,Desai,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Deep Learning Research Engineer,,4379926330,,https://ndes.ai,,,,True,False,,Toronto,Ontario,,Canada,,2022-09-07T15:27:01.936Z,2022-09-07T15:27:01.979Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Animesh Garg,Spring/Summer 2024 (April - July),,Mr.,None,"Computer vision, Deep learning, Generative modeling, Machine learning, Unsupervised learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),2019,"Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Internship, Co-op, Capstone Project","Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,False,True,True -54e32976-6eee-42b6-918f-6f1dea6728ab,amymakuto@gmail.com,Nyasha,Makuto,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-05-18T00:07:10.649Z,2022-08-09T03:19:34.230Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,Master's from another type of program/institute,Ms.,https://www.linkedin.com/in/nyasha-makuto/,,Graduate Degree (Masters),Entry Level (0-2 Years),Epidemiology,,"Full Time, Contract","Data Analyst, Data Scientist, Machine Learning Researcher/Scientist ",Lakehead University,True,False,True,True -b92d7709-e140-4bbd-ac4b-45e41965d64c,kaleb.huneau@vectorinstitute.ai,Kaleb,Huneau,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,False,False,,,,,,,2023-05-23T18:40:57.195Z,2023-05-23T18:40:57.235Z,False,False,Other Vector Programming,Yes,Other Vector Programming,,Spring/Summer 2024 (April - July),FastLane Analyst Intern,Mr.,https://www.linkedin.com/in/kaleb-huneau-34a906206/,"Bioinformatics, Deep learning, Natural language processing",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Mathematics and Computer Engineering,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Queen's University,True,True,True,True 6ff0c6bc-acce-4851-bc53-e8bd4eea33c9,alhaya1@mcmaster.ca,Ahmed,Al-Hayali,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Student,"3rd year Software Engineering (& Statistics minor) student @ McMaster University. I primarily use Python for anything data-related but I have experience in both MatLab and R for handling linear algebra and statistics, respectively. I have also been programming in Java since 2018 and am currently learning C++.",2265015372,,,,https://www.linkedin.com/in/ahmed-al-hayali/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6ff0c6bc-acce-4851-bc53-e8bd4eea33c9/resume,Guelph,Ontario,,Canada,linkedin,2022-08-24T01:42:53.576Z,2022-11-19T14:40:29.286Z,False,False,Connected to Vector Research,Yes,Other/Unsure,Dr. Thomas Doyle,Spring/Summer 2024 (April - July),"I am in contact with Vector scholars in AI (Shashank Shekhar), and a faculty affiliate (Dr. Thomas Doyle) was my instructor in 1st year.",Mr.,https://www.linkedin.com/in/Ahmed-Al-Hayali/,"Deep learning, Recommender systems, Statistical learning theory",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),"Software Engineering, minor in Statistics",Type of Work is More Important to me than Sector,"Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer, Other ",McMaster University,True,True,True,True 6d3723e2-af27-4778-b1cf-a31b5d58aaef,susana.veliz@vectorinstitute.ai,Susana,Veliz,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6d3723e2-af27-4778-b1cf-a31b5d58aaef/resume,,,,,,2022-12-01T18:21:24.284Z,2022-12-02T15:43:03.213Z,False,False,Internal Staff,Yes,Unsure,,Winter 2024 (December 2023 - March 2024),Vector Staff,Miss.,Not Found,"Data science, Deep learning, Graphical models",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",Ryerson University,True,False,True,True b067dac7-2c4f-4e70-b44c-e4608e08e9bb,bchhabr2@gmail.com,Bhavya,Chhabra,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-11-10T20:47:17.478Z,2022-11-10T20:47:17.517Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/bhavya-chhabra-1600/,"Computer vision, Data science, Deep learning, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science with Specialization in Artificial Intelligence,"Health, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract, Capstone Project","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Western University,True,True,True,True 11b066d8-070b-4a65-a0ca-6a0e1f8616e9,a.w.wang10@gmail.com,Andrew,Wang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Student Researcher,,,,,,,,True,False,,Toronto,Ontario,,Canada,,2022-09-29T21:46:46.056Z,2022-09-29T21:46:46.092Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Sheila McIlraith,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/andrew-w-09420b229/,"Adversarial learning, AI safety, Computer vision, Deep learning, Machine learning, Natural language processing, Optimization, Reinforcement learning, Representation learning, Robotics, Self-supervised learning, Statistical learning theory, Transfer learning, Unsupervised learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Bachelors of Science (Computer Science),Type of Work is More Important to me than Sector,"Internship, Co-op, Capstone Project","Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True -d1756b89-1bf0-43a8-9c6a-75d918ffb049,zahra.beheshti@gmail.com,Zahra,beheshti,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/zahra-beheshti-22874aa/,,True,False,,,,,,,2022-06-06T20:18:31.031Z,2022-08-10T05:42:43.916Z,False,False,Connected to Vector Research,Yes,Other/Unsure,,Already Graduated,"Completed ""Mothers and Machine Learning Course"" at Vector Institute",Mrs.,N/A,,Graduate Degree (Masters),Senior Level (5+ Years),Systems Design Engineering,,"Full Time, Internship, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Researcher/Scientist ",University of Waterloo,True,True,True,True -0ac3a174-5f5b-4046-973c-a263775131e0,georg.suja@gmail.com,Suja,George,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Project Management,,6474825262,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0ac3a174-5f5b-4046-973c-a263775131e0/resume,,,,,,2022-11-09T22:13:22.559Z,2022-11-09T22:50:05.779Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mrs.,https://www.linkedin.com/in/drsujageorge?lipi=urn%3Ali%3Apage%3Ad_flagship3_profile_view_base_contact_details%3Bf6GfdfO7QoCzNqMsyMSNGQ%3D%3D,,Graduate Degree (Masters),Mid-Level (3-5 Years),Masters in Health Informatics,"Education, Health, Public Administration (i.e Gov't), Technology (Information and Media)","Full Time, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Product/Project Manager",University of Toronto,True,True,True,True 9abb8fcc-a3c8-4071-8f22-e4dae64b3624,bnanakwesi@gmail.com,Amartei,Brocke,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Undergraduate Researcher @ Krembil Brain Institute (Brain- Computer Interface and Neuromorphic Computing),"""The greatest growling engine of change - technology"". I am currently an undergraduate student at Ontario Tech University with an interest in Neuromorphic Computing, Artificial Intelligence and Computational Medicine. I am very open to collaborations, projects and would love to network if possible, please feel free to reach out!",6473216748,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9abb8fcc-a3c8-4071-8f22-e4dae64b3624/resume,Toronto,Ontario,,Canada,,2022-09-22T23:48:28.542Z,2022-09-24T01:38:42.952Z,False,False,Internal Staff,Yes,Other/Unsure,,Winter 2023 (December 2022 - March 2023),Student in the Black/Indigenous ML Course,Mr.,https://www.linkedin.com/in/amartei-brocke/,"Machine learning, Neuroscience, Quantum computing",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Biology and Data Science,"Financial Services, Health, Software, Technology (Product Development)","Full Time, Internship, Capstone Project","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer, Other ",OntarioTech University,True,True,True,True @@ -4723,11 +4824,11 @@ I am currently an undergraduate student at Ontario Tech University with an inter 75d693ec-6e02-41c2-b477-d7d3e6d14465,kmadhava@uoguelph.ca,Keerthana,Madhavan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Masters in Computer Science and Artificial Intelligence Student,,9894937370,,,,,,True,False,,Guelph,Ontario,,Canada,,2022-09-21T20:23:20.143Z,2022-09-22T20:04:37.711Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Dr. Ali Deghantanha,Spring/Summer 2024 (April - July),,Miss.,https://www.linkedin.com/in/keerthanamadhavan/,"Anomaly detection, Data science, Machine learning, Privacy, anonymity, and/or security",Graduate Degree (Masters),Entry Level (0-2 Years),Masters in Computer Science and Artificial Intelligence,"Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Internship, Contract","Data Analyst, Data Scientist, Machine Learning Researcher/Scientist , Software Engineer",University of Guelph,True,True,True,True 96c50efc-1804-4f7a-9281-c7b0ff5618ba,anik.das@ucalgary.ca,Anik,Das,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-10-15T19:28:11.740Z,2022-10-15T19:28:11.797Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/anik-das-5285421a1/,"Computer vision, Data science, Deep learning, Healthcare and/or medical imaging, Interpretability, Machine learning, Reinforcement learning, Self-supervised learning, Statistical learning theory, Time-series forecasting and modelling, Transfer learning, Unsupervised learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),MSc in Biomedical Engineering,"Health, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,True,True,True 4e451759-66fd-4593-b243-83fd30c4ac97,ali.sekhavati@uottawa.ca,Ali,Sekhavati,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-11-21T12:31:43.504Z,2022-11-21T12:31:43.540Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/ali-sekhavati/,"Computer vision, Deep learning, Few-shot learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Electrical and Computer Engineering,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship","Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Ottawa,True,False,True,True +692d2b68-7f12-49df-93cb-c08244a8f1fe,ahalwani@uwo.ca,Alaa,Halwani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-21T20:23:19.963Z,2022-09-22T11:44:12.569Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/alaa-halwani/,,,,,,,,,True,True,True,True +f4d70c98-d719-4ed1-8c48-c29ee204b052,igor.tryhub@rotman.utoronto.ca,Igor,Tryhub,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,True,,,,,,,2022-09-20T15:15:46.301Z,2022-09-22T07:26:43.984Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,N/A,,Graduate Degree (Masters),Mid-Level (3-5 Years),Management Analytics (MMA),,"Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",University of Toronto,True,True,True,True 8a3fdaca-ccbc-4e50-ba78-55ac73597787,yuepeng@schulich.yorku.ca,Yue,Peng,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-06-02T13:19:22.212Z,2022-09-19T23:08:00.694Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/sena1102,,,,,,,,,True,True,True,True 5b9c62fa-1a7d-41bc-b419-185a04b7e953,nusrat.hossain@ryerson.ca,Nusrat,Hossain,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-11-09T22:13:23.407Z,2022-11-09T22:46:00.748Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/nusrat-hossain-730715225/,,,,,,,,,True,False,True,True 235442ab-4950-492b-a083-d7b24d095712,aliya.maqbul@gmail.com,Aliya,Maqbool,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-08-13T15:44:11.560Z,2022-08-24T01:02:54.175Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/aliya-maqbool-61803217b,,,,,,,,,True,False,True,True -b0f066b7-fbe4-42e0-a71c-065692b55bfc,ranjani_m@protonmail.com,Ranjani,Murali,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Graduate Student,"I have completed MSc in Applied Computing from University of Toronto. I have around 2years experience in Machine learning, Artificial Intelligence and Data Science area and I am currently looking for open roles.",,,,,https://www.linkedin.com/in/ranjani-murali-ab5bba233/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b0f066b7-fbe4-42e0-a71c-065692b55bfc/resume,,Ontario,,Canada,,2020-08-13T19:41:08.021Z,2020-11-14T15:05:57.162Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Ms.,N/A,,Graduate Degree (Masters),Entry Level (0-2 Years),Masters in Applied Computing,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Contract, Capstone Project","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",University of Toronto,True,True,True,True -c021008d-b743-4a31-9690-8099a50a390b,gabe.deza@mail.utoronto.ca,Gabriel,Deza,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/gabrieldeza/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c021008d-b743-4a31-9690-8099a50a390b/resume,Toronto,Ontario,,Canada,,2021-01-07T21:16:46.355Z,2021-01-08T16:40:43.779Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Nicolas Papernot,Already Graduated,,Mr.,https://www.linkedin.com/in/gabrieldeza/,"Adversarial learning, Deep learning, Time-series forecasting and modelling",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Engineering Science,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship",,University of Toronto,True,False,True,True ebb6b9ff-57c5-4266-8bcc-7b203d6827fc,fereshtforghani@gmail.com,Fereshteh,Forghani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-10-02T05:03:03.088Z,2022-10-02T05:03:03.135Z,False,False,Vector Scholarship Nominee,Yes,Vector Scholarship Recipient,Dr. Marcus Brubaker,Winter 2024 (December 2023 - March 2024),,Ms.,https://www.linkedin.com/in/fereshteh-forghani-aa76b8173/,"Computer vision, Deep learning, Generative modeling, Machine learning, Self-supervised learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,,"Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",York University,True,True,True,True 9b17d7d1-7d7b-4599-8d25-41864b0bc8f9,ray.mercurius@mail.utoronto.ca,Ray,Mercurius,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,4th Year Engineering Student,"4th year engineering student at the University of Toronto working in the intersection of machine learning and transportation. Currently researching the @@ -4737,18 +4838,22 @@ competitive programming and data-driven projects. Seeking full-time or intern positions starting May 2023. ",6477120517,,https://ceudan.github.io/,,https://www.linkedin.com/in/ray-mercurius-75a94b135/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9b17d7d1-7d7b-4599-8d25-41864b0bc8f9/resume,Toronto,Ontario,,Canada,,2022-02-09T04:21:14.241Z,2022-09-21T01:16:32.649Z,False,False,Not Affiliated with Vector,No,Student or Postdoc of a Vector Faculty Member,Scott Sanner,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/ray-mercurius-75a94b135/,"Data science, Machine learning, Reinforcement learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),"Major: Civil (Transportation) Engineering, Minor: Artificial Intelligence","Construction or Infrastructure, Manufacturing , Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True 23286b93-b764-4788-9cf8-abbb7e8d2ad4,yunyun5012@gmail.com,Yunyun(Winnie),Guo,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data analyst," I graduated from a Master of Data Science program, where I have developed machine learning and statistical analysis techniques— to apply my expertise in predictive analytics and modelling techniques to draw actionable business insights from data sets and gain hands-on experience. Five years of prior experience in research analysis, including in the healthcare industry, with a demonstrated ability to succeed in a fast-paced environment and be a good team player. I spent the summer of 2022 on doing an internship at Data Science and Advanced Analysis of TD Bank. I'm currently working at Canadian Tire Corporation as a forecast modelling analyst.",4379813677,,,,https://www.linkedin.com/in/winnie-guo,,True,False,https://canadaai.jobboard.io/api/v1/profiles/23286b93-b764-4788-9cf8-abbb7e8d2ad4/resume,,,,,,2022-11-03T15:43:16.176Z,2022-11-03T15:43:16.216Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/winnie-guo,"Data science, Interpretability, Machine learning, Online learning",Graduate Degree (Masters),Entry Level (0-2 Years),Data Science,"Education, Financial Services, Health, Retail, Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer",University of Guelph,True,True,True,True +b0f066b7-fbe4-42e0-a71c-065692b55bfc,ranjani_m@protonmail.com,Ranjani,Murali,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Graduate Student,"I have completed MSc in Applied Computing from University of Toronto. I have around 2years experience in Machine learning, Artificial Intelligence and Data Science area and I am currently looking for open roles.",,,,,https://www.linkedin.com/in/ranjani-murali-ab5bba233/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b0f066b7-fbe4-42e0-a71c-065692b55bfc/resume,,Ontario,,Canada,,2020-08-13T19:41:08.021Z,2020-11-14T15:05:57.162Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Ms.,N/A,,Graduate Degree (Masters),Entry Level (0-2 Years),Masters in Applied Computing,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Contract, Capstone Project","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",University of Toronto,True,True,True,True c3bdfa4e-921e-4a66-8e2c-58d2bf73b580,dusty.pulver28@gmail.com,Dustin,Pulver,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,4165083183,,,,https://www.linkedin.com/in/dustin-pulver-731863197/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c3bdfa4e-921e-4a66-8e2c-58d2bf73b580/resume,Toronto,Ontario,,Canada,,2022-10-17T15:27:50.005Z,2022-10-25T20:13:03.866Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Queen's University,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/dustin-pulver-731863197/,"Computer vision, Data science, Deep learning",Graduate Degree (Masters),Entry Level (0-2 Years),M.Eng Computer Engineering,"Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True +d1756b89-1bf0-43a8-9c6a-75d918ffb049,zahra.beheshti@gmail.com,Zahra,beheshti,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/zahra-beheshti-22874aa/,,True,False,,,,,,,2022-06-06T20:18:31.031Z,2022-08-10T05:42:43.916Z,False,False,Connected to Vector Research,Yes,Other/Unsure,,Already Graduated,"Completed ""Mothers and Machine Learning Course"" at Vector Institute",Mrs.,N/A,,Graduate Degree (Masters),Senior Level (5+ Years),Systems Design Engineering,,"Full Time, Internship, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Researcher/Scientist ",University of Waterloo,True,True,True,True +0ac3a174-5f5b-4046-973c-a263775131e0,georg.suja@gmail.com,Suja,George,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Project Management,,6474825262,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0ac3a174-5f5b-4046-973c-a263775131e0/resume,,,,,,2022-11-09T22:13:22.559Z,2022-11-09T22:50:05.779Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mrs.,https://www.linkedin.com/in/drsujageorge?lipi=urn%3Ali%3Apage%3Ad_flagship3_profile_view_base_contact_details%3Bf6GfdfO7QoCzNqMsyMSNGQ%3D%3D,,Graduate Degree (Masters),Mid-Level (3-5 Years),Masters in Health Informatics,"Education, Health, Public Administration (i.e Gov't), Technology (Information and Media)","Full Time, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Product/Project Manager",University of Toronto,True,True,True,True 4aab19ad-b547-474c-abe1-3abbd99e0da1,philippnoaheibl@gmail.com,Philipp,Eibl,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,http://philippnoah.github.io,,https://www.linkedin.com/in/philippeibl/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4aab19ad-b547-474c-abe1-3abbd99e0da1/resume,,,,,,2022-05-12T14:22:38.659Z,2022-09-02T19:13:30.055Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Ontario,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/philippeibl/,"Generative modeling, Interpretability, Natural language processing",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science,Type of Work is More Important to me than Sector,"Full Time, Internship","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True 06c9f3ae-6b64-4bbf-9545-3ce30cfb458f,siddharthpathakala@gmail.com,Siddharth,Pathakala,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Student seeking for Interships (winter 2023),"I have over 7 years of IT experience in various domains like Banking , Finance and ecommerce. Currently I'm pursuing PG Diploma in Artificial Intelligence and Data Science (3rd Semester) and actively looking for Co-op/internship opportunities starting in winter 2023(Jan-April)",6479372338,,,,https://www.linkedin.com/in/siddharthpathakala,,True,False,https://canadaai.jobboard.io/api/v1/profiles/06c9f3ae-6b64-4bbf-9545-3ce30cfb458f/resume,,Ontario,,Canada,,2022-11-12T16:45:32.913Z,2022-11-12T16:45:32.995Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,Ontario,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/siddharth-pathakala/,"Data science, Machine learning, Natural language processing",Graduate Degree (Masters),Senior Level (5+ Years),Artificial Intelligence and Data Science,,"Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Software Engineer",Other,True,True,True,True 0ca96457-9914-415f-a69d-4491ad50f8b4,ayesha.syeda@queensu.ca,Ayesha,Syeda,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,MSc Candidate in ML @ Queen's University,,6475172242,,http://ayeshans.github.io,,https://linkedin.com/in/ayeshasyeda,,True,False,,Toronto,Ontario,,Canada,,2022-09-20T15:14:51.972Z,2022-11-11T18:53:00.540Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Parvin Mousavi,Spring/Summer 2023 (April - July),,Ms.,linkedin.com/in/ayeshasyeda,"AI safety, Computer vision, Data science",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer, Other ",Queen's University,True,True,True,True 0d50419e-b063-4f24-9647-7c74f1c8848a,andrewjung@psi.toronto.edu,Andrew,Jung,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-12-22T19:55:56.638Z,2022-08-20T00:46:42.165Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/andrewjjung/,,,,,,,,,True,True,True,True d73aa517-0f6a-473c-9856-668fdce549c8,elliot.creager@gmail.com,Elliot,Creager,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,PhD Candidate,"Elliot is a PhD Candidate at the University of Toronto and the Vector Institute, where he is supervised by Richard Zemel. He works on a variety of topics within machine learning, especially in the areas of algorithmic bias and representation learning. He is also a student researcher at Google Brain in Toronto.",,,http://www.cs.toronto.edu/~creager,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d73aa517-0f6a-473c-9856-668fdce549c8/resume,Toronto,Ontario,,Canada,,2020-10-28T21:10:18.386Z,2020-10-28T21:10:18.408Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Richard Zemel,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/elliot-creager/,,Postgraduate Degree (PhD),Entry Level (0-2 Years),Comuter Science,Type of Work is More Important to me than Sector,Full Time,,University of Toronto,True,True,True,True -773dae5e-a562-46de-b2f0-8fb8512ee4b2,19js54@queensu.ca,Jagmeet,Singh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Graduate Student,,3433330441,,,,https://www.linkedin.com/in/jagmeet-singh-641809148/,,True,False,,Kingston,Ontario,,Canada,,2021-01-10T19:20:34.968Z,2021-09-01T03:19:48.635Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Prof. Bhavin Shastri,Already Graduated,,Mr.,https://www.linkedin.com/in/jagmeet-singh-641809148/,"Computer vision, Deep learning, Machine learning, Natural language processing, Optimization, Physics",Graduate Degree (Masters),Entry Level (0-2 Years),Engineering Physics,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development)",Full Time,,Queen's University,True,True,True,True ce982ca5-2f28-4f32-b8a4-1849596380fd,bbassey@aimsammi.org,Blessing,Bassey,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Machine Learning Engineer,"Employing the techniques and theories drawn from many fields within the context of Mathematics, Statistics, and Computer Science, to solve problems and proffer solutions both in Africa and world wide. As a freelancer (Data Analyst), and a Machine Intelligence enthusiast, I Assist in statistical analysis of both primary and secondary data, building machine learning algorithms, interpretation, discussion and recommendations for critical and logical decisions making across the globe as well as Report and Project writing.",+2348161278200,,http://blessingbassey.github.io,,https://www.linkedin.com/in/blessing-itoro-bassey-41665b151/,Bless_Bassey,True,False,https://canadaai.jobboard.io/api/v1/profiles/ce982ca5-2f28-4f32-b8a4-1849596380fd/resume,,,,,,2020-07-08T23:51:02.593Z,2020-07-10T10:13:55.060Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/blessing-itoro-bassey-41665b151/,,Graduate Degree (Masters),Entry Level (0-2 Years),Machine Intelligence,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Internship, Co-op",,Other,True,False,True,True a90a30bb-bf45-4b03-a4dd-7376ae1d9171,masikotimo@gmail.com,Timothy,Masiko,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-12-02T10:22:25.655Z,2020-12-02T10:22:25.691Z,False,False,Not Affiliated with Vector,No,Post Graduate Affiliate,central,Already Graduated,,Mr.,https://www.linkedin.com/in/timothy-masiko-80baa5177/,,Postgraduate Degree (PhD),Entry Level (0-2 Years),Software Engineering,"Software, Technology (Product Development)",Full Time,,Trent University,True,False,True,True 3df22983-946c-4517-b575-0ff20b298b49,somiyasj@yorku.ca,Somiya,Jena ,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/somiya-jena-a9b3a4160/,,True,False,,Toronto,Ontario,,Canada,,2021-12-11T23:03:56.396Z,2021-12-11T23:03:56.447Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Miss.,https://www.linkedin.com/in/somiya-jena-a9b3a4160/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management in Artificial Intelligence,"Financial Services, Retail, Software, Technology (Information and Media), Technology (Product Development)","Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Machine Learning Engineer",York University,True,False,True,True +c021008d-b743-4a31-9690-8099a50a390b,gabe.deza@mail.utoronto.ca,Gabriel,Deza,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/gabrieldeza/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c021008d-b743-4a31-9690-8099a50a390b/resume,Toronto,Ontario,,Canada,,2021-01-07T21:16:46.355Z,2021-01-08T16:40:43.779Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Nicolas Papernot,Already Graduated,,Mr.,https://www.linkedin.com/in/gabrieldeza/,"Adversarial learning, Deep learning, Time-series forecasting and modelling",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Engineering Science,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship",,University of Toronto,True,False,True,True +773dae5e-a562-46de-b2f0-8fb8512ee4b2,19js54@queensu.ca,Jagmeet,Singh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Graduate Student,,3433330441,,,,https://www.linkedin.com/in/jagmeet-singh-641809148/,,True,False,,Kingston,Ontario,,Canada,,2021-01-10T19:20:34.968Z,2021-09-01T03:19:48.635Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Prof. Bhavin Shastri,Already Graduated,,Mr.,https://www.linkedin.com/in/jagmeet-singh-641809148/,"Computer vision, Deep learning, Machine learning, Natural language processing, Optimization, Physics",Graduate Degree (Masters),Entry Level (0-2 Years),Engineering Physics,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development)",Full Time,,Queen's University,True,True,True,True b1dfeb77-3692-4572-b81c-8803fc4b5c20,yli4542@uwo.ca,Yao,Li,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-03-01T04:50:33.479Z,2021-03-22T05:13:52.286Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/yao-li-a15b2884/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Data Analytics,"Education, Financial Services, Health, Technology (Information and Media), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract",,Western University,True,True,True,True 7852d571-2d9a-4250-85bc-5e47e2fa0127,sindhucmg95@gmail.com,Sindhu C. M. ,Gowda,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,I’m a graduate student at the University of Toronto and Vector Institute advised by Prof. Marzyeh Ghassemi. I am broadly interested in Machine Learning applications to healthcare specifically looking at them from the lens of causal inference. More about me and my publications: https://sindhucmgowda.github.io/ ,6473546656,,https://sindhucmgowda.github.io/,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/7852d571-2d9a-4250-85bc-5e47e2fa0127/resume,,,,,,2021-01-01T20:47:50.725Z,2021-01-02T23:34:44.013Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Ontario,Spring/Summer 2023 (April - July),,Ms.,https://www.linkedin.com/in/sindhu-gowda/,"Fairness, Generative modeling, Healthcare and/or medical imaging, Machine learning, Time-series forecasting and modelling",Postgraduate Degree (PhD),Entry Level (0-2 Years),PhD in computer science,Health,Internship,,University of Toronto,True,True,True,True 5ca96ed2-7152-4c98-bcc6-630bd316714e,namangoyal1001@gmail.com,Naman,Goyal,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,"Previously Adobe, Microsoft, NAVER (South Korea)","I, Naman Goyal, a Computer Science graduate from IIT - RPR where I stood Institute Rank 1. I previously worked with Adobe, Microsoft, and NAVER, South Korea in the Artificial Intelligence Research Division.",,,https://namangoyal.com/,,https://www.linkedin.com/in/goyal-naman/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5ca96ed2-7152-4c98-bcc6-630bd316714e/resume,,,,,,2021-03-07T17:55:47.498Z,2021-03-07T17:55:47.522Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,IIT graduate,Mr.,https://www.linkedin.com/in/goyal-naman/,"Computer vision, Deep learning, Fairness, Generative modeling, Interpretability, Machine learning, Natural language processing, Reinforcement learning, Representation learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science,"Software, Technology (Information and Media), Technology (Product Development)",Full Time,,Other,True,False,True,True @@ -4758,19 +4863,16 @@ I hold a masters in Computational Science from TU Munich, Germany and Bachelors e19fd826-09cd-4dff-a873-bc012109fc67,a@phaseai.com,Andrea,Yip,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-01-22T01:37:01.310Z,2021-01-22T01:37:01.336Z,False,False,Internal Staff,Yes,Other/Unsure,n/a,Other/Undetermined,I am a part of an organization partnering with Vector,Ms.,https://www.linkedin.com/in/andrealyip/,"Bioinformatics, Data science, Healthcare and/or medical imaging",Graduate Degree (Masters),Senior Level (5+ Years),Public Health,Health,Full Time,,University of Toronto,True,True,True,True e5a6c545-5045-4f69-9b04-b6d716bd29f0,ali.dehghan16@gmail.com,Ali,Dehghan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/alidehghan16/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e5a6c545-5045-4f69-9b04-b6d716bd29f0/resume,Ottawa,Ontario,,Canada,,2021-02-26T22:25:49.631Z,2021-02-26T22:25:49.653Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,,Mr.,https://www.linkedin.com/in/alidehghan16/,"Data science, Deep learning, Game theory, Optimization, Unsupervised learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Mathematics,"Software, Technology (Information and Media), Telecommunications","Full Time, Contract",,Other,True,False,True,True fbc0ab43-a0eb-4730-8348-72105192d8ea,claude@bptn.ca,Claude ,Lindsay,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-05-29T15:57:05.513Z,2021-05-29T15:57:05.540Z,False,False,Not Affiliated with Vector,Yes,Other/Unsure,,Already Graduated,Collaborative Partner - BPTN,Mr.,NOTE- HE IS APPROVED FOR A LIMITED TIME ONLY AS A SPECIAL CASE.,"Machine learning, Online learning, Unsupervised learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Business,Type of Work is More Important to me than Sector,Full Time,Other ,York University,True,False,True,True -3ca15aa6-8bbb-43c9-9b88-39459bb52006,daniel.dworakowski@mail.utoronto.ca,Daniel,Dworakowski,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-02-17T04:01:48.362Z,2021-03-10T23:36:41.198Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,ON,Already Graduated,,Mr.,https://www.linkedin.com/in/daniel-dworakowski-0736401a4/,,Graduate Degree (Masters),,Masters of Applied Science - Mechanical and Industrial Engineering,"Health, Software, Technology (Information and Media), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op",,University of Toronto,True,True,True,True 99420ff7-7a67-4110-81c9-fa7a08503afe,kevinmingkun.gao@gmail.com,mingkun,gao,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,4168883227,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/99420ff7-7a67-4110-81c9-fa7a08503afe/resume,,,,,,2020-08-06T14:27:01.364Z,2020-08-06T14:27:01.414Z,False,False,Not Affiliated with Vector,No,Post Graduate Affiliate,ON,Already Graduated,,Mr.,https://www.linkedin.com/in/mkgao/,,Graduate Degree (Masters),Entry Level (0-2 Years),Operational Research/ Data Science,Type of Work is More Important to me than Sector,"Full Time, Contract",,University of Toronto,True,True,True,True 7d03fc90-87f5-428d-b23b-fa3fae18d5af,d.m.rau@uva.nl,David,Rau,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Deep Learning Scientist,,,,,,https://www.linkedin.com/in/david-r-114094138/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/7d03fc90-87f5-428d-b23b-fa3fae18d5af/resume,Amsterdam,North Holland,,Netherlands,,2020-08-10T10:00:18.806Z,2020-08-10T10:00:18.828Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,I hold a M.Sc. in Artificial Intelligence from the University of Amsterdam,Mr.,https://www.linkedin.com/in/david-r-114094138/,,Graduate Degree (Masters),Entry Level (0-2 Years),Artificial Intelligence,Type of Work is More Important to me than Sector,"Full Time, Internship, Contract",,Other,True,False,True,True +e76b7529-6bda-4f74-9a5d-1a3cf346b89c,kammona@uwindsor.ca,Noor,Kammonah,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e76b7529-6bda-4f74-9a5d-1a3cf346b89c/resume,Windsor,Ontario,,Canada,,2020-01-20T19:17:56.140Z,2020-01-21T21:31:13.619Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,Not Found,,Graduate Degree (Masters),,Computer Science,"Education, Public Administration (i.e Gov't)",Full Time,,University of Windsor,True,True,True,True +5aa7e7c3-531d-4d8f-8767-0d4ac18da7e1,d_geris@hotmail.com,David,Geris,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Mechatronics Engineer,,6476082714,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5aa7e7c3-531d-4d8f-8767-0d4ac18da7e1/resume,Mississauga,Ontario,,Canada,,2020-02-20T03:14:47.349Z,2020-02-20T03:14:47.374Z,False,False,Not Affiliated with Vector,No,Other/Unsure,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/david-geris-92a784115/,,Undergraduate Degree (Bachelors),,Mechatronics Engineering,Software,"Full Time, Internship, Co-op, Contract",,McMaster University,True,False,True,True 898491dd-9947-4000-8132-50c2935ef383,jiawei.yu@mail.utoronto.ca,Charlie,Yu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Master's Student in Data Science at UToronto,"I am currently studying data science (MScAC) at the University of Toronto. I hold a Bachelor's degree in data science (co-op) from the University of Waterloo. ",,,https://jiawei-yu-97.github.io/,,https://www.linkedin.com/in/charlieyu7/,,True,False,,Waterloo,Ontario,,Canada,,2020-09-17T16:54:29.659Z,2020-09-17T19:57:36.235Z,False,False,Recognized Masters Program,Yes,Other/Unsure,,Already Graduated,,Mr.,https://www.linkedin.com/in/charlieyu7/,,Graduate Degree (Masters),Entry Level (0-2 Years),Data Science,Type of Work is More Important to me than Sector,"Full Time, Co-op, Contract",,University of Toronto,True,True,True,True -23b727dc-5a14-4ccf-a3b7-bd8a91388800,ssaisriram1@gmail.com,Sai Sriram,Swarnakar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,"Hello, -I'm an experienced software engineer doing my masters in IT security using AI. Looking for Coop and Internship oppurtunities.",2899927032,,,,https://www.linkedin.com/in/sai-sri-ram-swarnakar-607117107/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/23b727dc-5a14-4ccf-a3b7-bd8a91388800/resume,Toronto,Ontario,,Canada,,2020-08-13T19:39:57.634Z,2020-09-24T13:56:08.153Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/sai-sri-ram-swarnakar-607117107,,Graduate Degree (Masters),Entry Level (0-2 Years),Information Technology Security using Artificial Intelligence,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op",,OntarioTech University,True,False,True,True -e76b7529-6bda-4f74-9a5d-1a3cf346b89c,kammona@uwindsor.ca,Noor,Kammonah,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e76b7529-6bda-4f74-9a5d-1a3cf346b89c/resume,Windsor,Ontario,,Canada,,2020-01-20T19:17:56.140Z,2020-01-21T21:31:13.619Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,Not Found,,Graduate Degree (Masters),,Computer Science,"Education, Public Administration (i.e Gov't)",Full Time,,University of Windsor,True,True,True,True -5aa7e7c3-531d-4d8f-8767-0d4ac18da7e1,d_geris@hotmail.com,David,Geris,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Mechatronics Engineer,,6476082714,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5aa7e7c3-531d-4d8f-8767-0d4ac18da7e1/resume,Mississauga,Ontario,,Canada,,2020-02-20T03:14:47.349Z,2020-02-20T03:14:47.374Z,False,False,Not Affiliated with Vector,No,Other/Unsure,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/david-geris-92a784115/,,Undergraduate Degree (Bachelors),,Mechatronics Engineering,Software,"Full Time, Internship, Co-op, Contract",,McMaster University,True,False,True,True 00e65067-9a49-4433-a6a3-53728cdf007e,moh220@mail.usask.ca,Mohammad ,Habibullah,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-27T02:11:45.993Z,2019-12-27T02:11:46.035Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,Canada,,,Mr.,https://www.linkedin.com/in/mohammad-habibullah-76581a112/,,,,Masters in Electrical Engineering,"Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Internship, Co-op",,Other,True,True,True,True 994db64c-9aef-4174-a0a8-2e2cd65f44a8,nagaraja@uwindsor.ca,Amreeth Rajan ,Nagarajan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-01-21T04:23:01.898Z,2020-01-21T04:23:01.936Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2021,,Ms.,https://www.linkedin.com/in/amreeth-rajan/,,Graduate Degree (Masters),,Masters of science in computer science,Type of Work is More Important to me than Sector,Co-op,,University of Windsor,True,True,True,True -da3cf89e-09ca-48d1-9cb4-3e6a52535fef,amit.kumar@queensu.ca,Amit,Kumar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-08-13T19:40:25.958Z,2020-08-13T22:18:36.078Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/amit-kumar-96404562/,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Management in Artificial Intelligence,"Financial Services, Software, Technology (Product Development), Telecommunications",Contract,,Queen's University,True,True,True,True +3ca15aa6-8bbb-43c9-9b88-39459bb52006,daniel.dworakowski@mail.utoronto.ca,Daniel,Dworakowski,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-02-17T04:01:48.362Z,2021-03-10T23:36:41.198Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,ON,Already Graduated,,Mr.,https://www.linkedin.com/in/daniel-dworakowski-0736401a4/,,Graduate Degree (Masters),,Masters of Applied Science - Mechanical and Industrial Engineering,"Health, Software, Technology (Information and Media), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op",,University of Toronto,True,True,True,True 16bce6c7-a9f1-43cd-8b8c-53a3283000e4,jimohadedamola925@gmail.com,rukayat,Jimoh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2020-01-01T22:27:55.493Z,2020-01-01T22:27:55.516Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/rukayat-jimoh-846996124/,,,,,,,,,True,False,True,True 637fc4b3-04cb-4470-93fb-6de8fc785132,purv810@gmail.com,Purv,Patel,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-22T23:26:15.658Z,2019-12-22T23:26:15.700Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,,Applying for a Co-op,Mr.,https://www.linkedin.com/in/purv-patel/,,,,Software Engineering,"Software, Technology (Information and Media)","Internship, Co-op",,McMaster University,True,False,True,True d29dd519-9a7f-42f6-8ea1-96d08e442bf9,jarronanthonipillai@gmail.com,Jarron,Anthonipillai,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2019-12-22T18:24:18.135Z,2019-12-22T18:24:18.159Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/jarronanthonipillai/,,,,,,,,,True,True,True,True @@ -4780,24 +4882,25 @@ d29dd519-9a7f-42f6-8ea1-96d08e442bf9,jarronanthonipillai@gmail.com,Jarron,Anthon 69a209be-e12c-4aa7-93a1-8ef798348502,mnarpath@lakeheadu.ca,Manohar,Narpath,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,A recent MSc graduate(by Apr 2020) and professional with experience in PeopleSoft ERP Software Development,"Experienced Consultant with more than 7 years of experience and demonstrated good communication and history of effective software implementations to make client’s business grow exponentially. Skilled in Databases, ERP, Machine Learning, Big Data, Data Science and Data Analytics and have knowledge on Artificial Intelligence. Provided solutions to clients like Ontario Universities’ Application Center(Canada), QBENA(USA), San Diego Community College District(USA) and AMSPA DOD(Australia)",8073577499,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/69a209be-e12c-4aa7-93a1-8ef798348502/resume,Thunder Bay,Ontario,,Canada,,2019-12-06T01:30:27.748Z,2020-02-01T03:03:05.030Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/manohar-narpath-2b8a6315/,,,,Masters in Computer Science,"Financial Services, Retail, Telecommunications","Full Time, Contract",,Lakehead University,True,True,True,True c8e8178f-7235-4338-b928-0ebeade1d0d0,jeff@wintersinger.org,Jeff,Wintersinger,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-03T16:33:55.137Z,2019-12-03T16:33:55.185Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Quaid Morris,,,Mr.,https://www.linkedin.com/in/jeff-wintersinger-1647b45a/,,Postgraduate Degree (PhD),,Computer Science,"Financial Services, Telecommunications","Full Time, Internship",,University of Toronto,True,True,True,True 60b27dfc-b2b7-43cc-97dc-fd75f39fa5d0,kasie.madu@gmail.com,Kasiemobi,Maduabunachukwu ,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,5197316010,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/60b27dfc-b2b7-43cc-97dc-fd75f39fa5d0/resume,,,,,,2019-12-04T02:04:55.385Z,2020-09-18T17:21:17.870Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/kasiemobi-madu/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Computer science,"Financial Services, Health, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Contract, Capstone Project",,University of Guelph,True,True,True,True -e2abe003-ac0e-4d06-84af-b9e1524e16e9,guptaga2@gmail.com,Gaurav,Gupta,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Scientist / Machine Learning Engineer,"• Currently seeking full-time opportunities for May 2020. -• 4 years industry and research experience, including peer-reviewed journal publications. -• End-to-end machine learning development applied to large production datasets, from feature creation, engineering, and selection to model design, tuning, and deployment. -• Expert in Java and Python (Keras, Scikit-learn, Pandas). Skilled with C & Assembly programming.",,,,,https://www.linkedin.com/in/gauravg11/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e2abe003-ac0e-4d06-84af-b9e1524e16e9/resume,,,,,,2019-12-06T02:53:06.223Z,2019-12-19T20:41:59.711Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Jesse Hoey,,,Mr.,https://www.linkedin.com/in/gauravg11/,,,,Masters in CS (AI),,Full Time,,University of Waterloo,True,True,True,True -56a91cd0-b673-4ace-b0e5-d7fcad5bae47,xjunlu@outlook.com,Xiaojun,Lu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-06T03:42:09.801Z,2019-12-06T03:42:09.840Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Ms.,https://www.linkedin.com/in/xiaojunlu8866/,,,,Master of Management Analytics,"Financial Services, Retail, Telecommunications","Full Time, Contract",,Queen's University,True,False,True,True -e195b34e-cb33-4350-8787-3127422f50cb,dennis.zhao@queensu.ca,Dennis,Zhao,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Aspiring Data Analyst,,,,,,https://www.linkedin.com/in/denniszhao0610/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e195b34e-cb33-4350-8787-3127422f50cb/resume,,,,,,2020-08-13T19:40:48.961Z,2020-08-13T20:06:39.533Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,http://linkedin.com/in/denniszhao0610,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management Analytics,"Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Contract",,Queen's University,True,True,True,True -0c298f4d-67a8-4abf-9b07-3bea35c9be3b,sarmini.balakumar@mail.utoronto.ca,Sarmini,Balakumar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-09-17T16:54:33.139Z,2020-09-17T18:24:12.646Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/sarminibalakumar/,,,,,,,,,True,True,True,True +23b727dc-5a14-4ccf-a3b7-bd8a91388800,ssaisriram1@gmail.com,Sai Sriram,Swarnakar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,"Hello, +I'm an experienced software engineer doing my masters in IT security using AI. Looking for Coop and Internship oppurtunities.",2899927032,,,,https://www.linkedin.com/in/sai-sri-ram-swarnakar-607117107/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/23b727dc-5a14-4ccf-a3b7-bd8a91388800/resume,Toronto,Ontario,,Canada,,2020-08-13T19:39:57.634Z,2020-09-24T13:56:08.153Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/sai-sri-ram-swarnakar-607117107,,Graduate Degree (Masters),Entry Level (0-2 Years),Information Technology Security using Artificial Intelligence,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op",,OntarioTech University,True,False,True,True +da3cf89e-09ca-48d1-9cb4-3e6a52535fef,amit.kumar@queensu.ca,Amit,Kumar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-08-13T19:40:25.958Z,2020-08-13T22:18:36.078Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/amit-kumar-96404562/,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Management in Artificial Intelligence,"Financial Services, Software, Technology (Product Development), Telecommunications",Contract,,Queen's University,True,True,True,True 33a5e3c2-3eee-4e01-af85-1ee5d253edcb,malho117@uwindsor.ca,Vipul,Malhotra,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Science Grad,,4168593932,,,,https://www.linkedin.com/in/vipul-malhotra-vp/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/33a5e3c2-3eee-4e01-af85-1ee5d253edcb/resume,Toronto,Ontario,,Canada,,2020-09-17T16:54:32.030Z,2021-05-05T15:26:53.781Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,--,Already Graduated,,Mr.,https://www.linkedin.com/in/vipul-malhotra-vp/,"Anomaly detection, Data science, Machine learning, Natural language processing, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Masters in Computer Science,"Financial Services, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Windsor,True,True,True,True +e195b34e-cb33-4350-8787-3127422f50cb,dennis.zhao@queensu.ca,Dennis,Zhao,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Aspiring Data Analyst,,,,,,https://www.linkedin.com/in/denniszhao0610/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e195b34e-cb33-4350-8787-3127422f50cb/resume,,,,,,2020-08-13T19:40:48.961Z,2020-08-13T20:06:39.533Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,http://linkedin.com/in/denniszhao0610,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management Analytics,"Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Contract",,Queen's University,True,True,True,True 0c83fe50-c2b3-4edd-83fe-6564285f8e86,jarvis.jia@rotman.utoronto.ca,Weitong,Jia,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Master of Management Analytics Candidate,,6478670599,,,,https://www.linkedin.com/in/jarvisjia/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0c83fe50-c2b3-4edd-83fe-6564285f8e86/resume,Toronto,Ontario,,Canada,,2020-09-17T16:54:30.867Z,2020-09-17T21:25:52.724Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Rotman MMA Program,Already Graduated,,Mr.,https://www.linkedin.com/in/jarvisjia/,,Graduate Degree (Masters),Entry Level (0-2 Years),Data analytics,"Financial Services, Technology (Information and Media), Technology (Product Development)",Full Time,,University of Toronto,True,True,True,True +0c298f4d-67a8-4abf-9b07-3bea35c9be3b,sarmini.balakumar@mail.utoronto.ca,Sarmini,Balakumar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-09-17T16:54:33.139Z,2020-09-17T18:24:12.646Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/sarminibalakumar/,,,,,,,,,True,True,True,True 7b3b638f-c0f9-4ddb-8533-991492ab47c1,e.moghaddam@gmail.com,Ehsan,Abedi Moghaddam,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-09-17T16:54:28.765Z,2020-09-22T17:59:11.691Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/emoghaddam/,,,,,,,,,True,False,True,True 2f379c3f-f4c6-49be-ad01-a10371cc3b0f,jess9707@schulich.yorku.ca,Litong,Yang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-09-17T16:54:30.401Z,2020-09-19T08:39:14.663Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/litong-yang-0bb4bb19a,,,,,,,,,True,True,True,True e03b2322-1ba4-4bfe-bf07-4edb16b94a41,khanis@uwindsor.ca,Saghi,Khani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-09-17T16:54:32.618Z,2020-09-24T13:26:49.938Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/saghi-khani-2a95b8140/,,,,,,,,,True,False,True,True d122bbad-e795-46d0-bfeb-295d179924f4,n.khaliapin@gmail.com,Nikita,Khaliapin,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Business Intelligence Professional,,,,,,https://www.linkedin.com/in/khaliapin/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d122bbad-e795-46d0-bfeb-295d179924f4/resume,Toronto,Ontario,,Canada,,2019-12-02T22:48:41.514Z,2021-07-28T22:35:01.958Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/khaliapin/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Business Analytics,"Construction or Infrastructure, Financial Services, Manufacturing , Retail, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Contract",,York University,True,True,True,True d5179a8a-11f9-44fa-a6f3-68422fe9b8b7,meng17@schulich.yorku.ca,Melissa,Eng,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6476362831,,,,https://www.linkedin.com/in/meng17/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d5179a8a-11f9-44fa-a6f3-68422fe9b8b7/resume,Toronto,Ontario,,Canada,linkedin,2019-12-02T16:51:57.471Z,2021-07-13T14:08:49.873Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/meng17/,"Game theory, Law, ethics and policy, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management in Artificial Intelligence,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail","Full Time, Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Other ",York University,True,True,True,True +e2abe003-ac0e-4d06-84af-b9e1524e16e9,guptaga2@gmail.com,Gaurav,Gupta,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Scientist / Machine Learning Engineer,"• Currently seeking full-time opportunities for May 2020. +• 4 years industry and research experience, including peer-reviewed journal publications. +• End-to-end machine learning development applied to large production datasets, from feature creation, engineering, and selection to model design, tuning, and deployment. +• Expert in Java and Python (Keras, Scikit-learn, Pandas). Skilled with C & Assembly programming.",,,,,https://www.linkedin.com/in/gauravg11/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e2abe003-ac0e-4d06-84af-b9e1524e16e9/resume,,,,,,2019-12-06T02:53:06.223Z,2019-12-19T20:41:59.711Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Jesse Hoey,,,Mr.,https://www.linkedin.com/in/gauravg11/,,,,Masters in CS (AI),,Full Time,,University of Waterloo,True,True,True,True +56a91cd0-b673-4ace-b0e5-d7fcad5bae47,xjunlu@outlook.com,Xiaojun,Lu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-06T03:42:09.801Z,2019-12-06T03:42:09.840Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Ms.,https://www.linkedin.com/in/xiaojunlu8866/,,,,Master of Management Analytics,"Financial Services, Retail, Telecommunications","Full Time, Contract",,Queen's University,True,False,True,True d7746210-f361-4fca-8567-7a55c67fdd73,ayse.ozdincer@mail.utoronto.ca,Ayse,Ozdincer,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-01-15T21:57:59.485Z,2020-01-15T21:57:59.521Z,False,False,Not Affiliated with Vector,No,Other/Unsure,ON,Spring/Summer 2021,,Ms.,https://www.linkedin.com/in/ayse-ozdincer/,,Undergraduate Degree (Bachelors),,"Engineering Science, Engineering physics option, artificial intelligence minor","Financial Services, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op",,University of Toronto,True,False,True,True 65609602-d870-4c34-88db-07ad665c6bd0,saiteja@uwindsor.ca,Saiteja,Danda`,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Researcher in Machine Learning & Deep Learning,,5197923526,,,,https://www.linkedin.com/in/saiteja-bobby,,True,False,,Windsor,Ontario,,Canada,,2020-01-20T18:47:11.961Z,2020-01-20T18:47:11.985Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/saiteja-bobby,,Graduate Degree (Masters),,Computer Science,"Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op",,University of Windsor,True,True,True,True -81517ff5-3fb1-4861-89d3-e402222a894c,rutujbhatt@gmail.com,Rutuj,Bhatt,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Statistics: Machine Learning and Data Science Student,"Motivated and hardworking 2nd year statistics student specializing in Machine Learning and -Data Science with a great passion for technology. Conscientious and an excellent team player, looking to always learn new skills and work towards a better tomorrow.",6472343626,,,,https://www.linkedin.com/in/rutujbhatt/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/81517ff5-3fb1-4861-89d3-e402222a894c/resume,Toronto,Ontario,,Canada,linkedin,2020-01-15T19:58:30.529Z,2020-01-15T19:58:30.560Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Fall 2022,Student,Mr.,https://www.linkedin.com/in/rutujbhatt/,,Undergraduate Degree (Bachelors),,Statistics,"Software, Technology (Information and Media), Technology (Product Development)","Internship, Co-op",,University of Toronto,True,False,True,True d8fab5f6-b2ff-40b0-b789-f3c6fabd0a65,jaini.priyank1@gmail.com,Priyank,Jaini,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/priyank-jaini-7b397075/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d8fab5f6-b2ff-40b0-b789-f3c6fabd0a65/resume,,,,,,2019-12-10T23:38:48.244Z,2020-10-14T06:36:44.289Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Student or Postdoc of a Vector Faculty Member,Pascal Poupart and Yaoliang Yu,Already Graduated,,Mr.,https://www.linkedin.com/in/priyank-jani-690648152/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),"Machine Learning, Computer Science","Financial Services, Health, Technology (Information and Media), Technology (Product Development)","Full Time, Contract",,University of Waterloo,True,False,True,True 263405e6-104b-47e9-b6a7-147b9ab8cef3,df.wang@mail.utoronto.ca,Danny,Wang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-03T01:45:16.091Z,2020-01-06T14:54:23.011Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/danny-wang-231875121/,,,,Year 1,,"Full Time, Internship, Co-op",,University of Toronto,True,True,True,True b99efc67-ad85-4db3-902c-a86677379740,swapnil.kawalkar@queensu.ca,Swapnil,Kawalkar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Analysis & Strategy,,647-870-1851,,,,,,True,False,,Toronto,Ontario,,Canada,,2019-12-07T23:18:33.022Z,2019-12-07T23:18:33.065Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/swapnil-kawalkar/,,,,Master of Management in Artificial Intelligence,"Financial Services, Retail","Full Time, Internship, Co-op, Contract, Capstone Project",,Queen's University,True,True,True,True @@ -4816,6 +4919,9 @@ Over the course of my career, I have worked with many stakeholders from Finance, • Developing Optimization models using Gurobi, Solver or Simul8 I am a lifelong learner and will bring that attitude onto the platform of my employer. I am looking out for new opportunities as an Analyst or Data Scientist and will be very happy to discuss my suitability with the recruiters.",4372474655,,https://github.com/ishikhargoyal/PythonCode,,https://www.linkedin.com/in/shikhar-goyal16/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/90eeebe4-9dbe-41c6-ad7a-2d80b2b67b9c/resume,Toronto,Ontario,,Canada,,2021-12-22T19:56:42.592Z,2022-01-06T16:08:28.668Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/shikhar-goyal-12742680/,"Data science, Deep learning, Unsupervised learning",Graduate Degree (Masters),Senior Level (5+ Years),Masters in Management Analytics,"Financial Services, Health, Professional Services (e.g Consulting), Retail, Technology (Information and Media)","Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True d5a59701-d9fb-4a5d-ba0e-0154ade7fe76,dental.graduate@gmail.com,MANMOHAN,MITTAL,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Master in Health Informatics,"I am an international trained clinician with a strong desire to help prevent people from falling prey to chronic diseases. In the initial years of my life, I have worked to save people from developing Oral cancers and many oral pathologies by using data analysis skills and team management skills to organize widespread campaigns. The advent of AI in health care has prompted me to take this field and I hope to continue with my motto of Prevention is better than cure and presently also working on a projector to prevent people from developing diabetes using AI-driven solution which I would like to discuss.",6475097371,,,,https://www.linkedin.com/in/manmohan-mittal-9344701ab/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d5a59701-d9fb-4a5d-ba0e-0154ade7fe76/resume,Toronto,Ontario,,Canada,,2021-12-22T19:56:24.172Z,2021-12-24T07:32:23.842Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/manmohan-mittal-9344701ab/,,Graduate Degree (Masters),Senior Level (5+ Years),Master in Health Informatics,"Financial Services, Health","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Machine Learning Researcher/Scientist , Product/Project Manager",University of Toronto,True,True,True,True +7fadfc11-06cb-4211-a64f-cc1d299ecb82,21ak79@queensu.ca,Ali,Keshani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-12-22T19:56:27.335Z,2022-01-02T09:59:19.698Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/ali-keshani/,,,,,,,,,True,False,True,True +81517ff5-3fb1-4861-89d3-e402222a894c,rutujbhatt@gmail.com,Rutuj,Bhatt,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Statistics: Machine Learning and Data Science Student,"Motivated and hardworking 2nd year statistics student specializing in Machine Learning and +Data Science with a great passion for technology. Conscientious and an excellent team player, looking to always learn new skills and work towards a better tomorrow.",6472343626,,,,https://www.linkedin.com/in/rutujbhatt/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/81517ff5-3fb1-4861-89d3-e402222a894c/resume,Toronto,Ontario,,Canada,linkedin,2020-01-15T19:58:30.529Z,2020-01-15T19:58:30.560Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Fall 2022,Student,Mr.,https://www.linkedin.com/in/rutujbhatt/,,Undergraduate Degree (Bachelors),,Statistics,"Software, Technology (Information and Media), Technology (Product Development)","Internship, Co-op",,University of Toronto,True,False,True,True 0b4c620e-0c00-4612-b3f5-3d9e3248c243,ruiting.zhang@mail.utoronto.ca,Ruiting,Zhang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-04T14:23:35.430Z,2020-05-07T23:57:29.024Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/ruiting-zhang-09313214a/,,Graduate Degree (Masters),,MMA,"Financial Services, Professional Services (e.g Consulting), Retail, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship",,University of Toronto,True,False,True,True 9c8f7188-1f31-4758-a603-56d30cefe628,r.venkataraman@queensu.ca,Rajiv,Venkataraman,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,4168372265,,,,,,True,False,,Toronto,Ontario,,Canada,,2019-12-03T03:55:11.769Z,2019-12-03T03:55:11.805Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/rajivvenkataraman/,,,,Master of Management in Artificial Intelligence,"Financial Services, Retail","Full Time, Internship, Co-op, Contract",,Queen's University,True,True,True,True 4fc046e3-01c2-4a0d-9467-081919ccc395,rujuta697@gmail.com,Rujuta,Upadhyay,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,+1898863644,,,,https://www.linkedin.com/in/rujuta-u-b59921a4/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4fc046e3-01c2-4a0d-9467-081919ccc395/resume,Oshawa,Ontario,,Canada,,2019-12-05T22:36:18.058Z,2020-06-03T22:38:49.679Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/rujuta-u-b59921a4/,,Graduate Degree (Masters),Entry Level (0-2 Years),masters in information security with artificial intelligence,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Internship, Co-op",,OntarioTech University,True,True,True,True @@ -4825,8 +4931,6 @@ a824a60e-74e7-406f-9c02-a7b39c8d127e,areebahmuhammad@gmail.com,Areebah,Muhammad, 2545c799-ff70-4b5b-b016-2ad125af471d,aljosa.kljujic@vectorinstitute.ai,Aljosa,Kljujic,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-01-13T14:16:11.289Z,2020-01-13T14:16:11.318Z,False,False,Internal Staff,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/aljosa-kljujic-82657827/,,Undergraduate Degree (Bachelors),,3,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Contract, Capstone Project",,University of Toronto,True,True,True,True 302f8bfb-2c17-4e91-b6ea-a84a77704ed5,xi.kang@outlook.com,Xi,Kang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-01-14T20:35:44.760Z,2020-01-14T20:35:44.820Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/xi-kang-45958595/,,Graduate Degree (Masters),,Master of Business Analytics,"Education, Financial Services, Health, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector",Full Time,,York University,True,True,True,True 15b6a3a9-48a7-4691-9667-a1bfd48c59f5,saundarya82@gmail.com,Saundarya,Sharma,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-04T14:46:22.516Z,2019-12-04T14:46:22.555Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Ms.,https://www.linkedin.com/in/saundarya-sharma/,,,,Master in Management analytics,"Financial Services, Retail",Full Time,,University of Toronto,True,True,True,True -6802ba0a-7f1a-4f72-8ff6-eb017000a206,rohit.shankar@queensu.ca,Rohit,Shankar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-12-22T19:56:57.779Z,2022-01-06T21:13:36.051Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/rohitshankar-pmpcet,,,,,,,,,True,False,True,True -7fadfc11-06cb-4211-a64f-cc1d299ecb82,21ak79@queensu.ca,Ali,Keshani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-12-22T19:56:27.335Z,2022-01-02T09:59:19.698Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/ali-keshani/,,,,,,,,,True,False,True,True 0d8519ac-83e5-4cc3-a628-32471fdd00e8,yu.zhu@queensu.ca,Michael,Zhu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Aspiring Data Scientist,"With a passion for data analytics, I love solving real-world problems by leveraging innovative technologies. I believe that while technologies are helpful, they are not substituting for critical thinking and field expertise. There is where I come in, to translate technologies into comprehensible information that is useful for decision-making. Some of my specialties are as follows: Proficient in technical skills: Python, SAS, Google Analytics, R, SQL, PowerBI, Tableau @@ -4847,63 +4951,25 @@ bb98bf1f-25a6-431b-b874-a16868104ab2,sergio.betancourt@mail.utoronto.ca,Sergio,B 95df37a1-3082-4e5f-8a5e-b2307b5db793,enrevon@gmail.com,Daniel,Wang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2020-03-03T03:34:40.236Z,2020-03-03T03:34:40.251Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/danielw68/,,,,,,,,,True,False,True,True 639ec0ed-0190-465e-a04d-8607347d6b71,mahparsa@cs.toronto.edu,Mahboobeh,Parsapoor,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-04-10T06:46:32.770Z,2020-04-10T06:46:32.800Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Frank Rudzicz,Already Graduated,,Dr.,Not Found,,Postgraduate Degree (PhD),,Computer Science,Health,Full Time,,University of Toronto,True,False,True,True 1a94250b-0937-491d-80b2-d29d2cc2a3e9,apaul3@lakeheadu.ca,Adhri,Paul,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-01-22T15:27:35.129Z,2020-02-18T04:53:50.101Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/adhri-nandini-paul-94a678158/,,Graduate Degree (Masters),,Computer Science,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract",,Lakehead University,True,True,True,True -814fdb0d-a836-4216-895e-618339fa28b0,oidahosa@bell.net,James,Idahosa,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-07-05T18:55:42.091Z,2020-07-05T18:55:42.119Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,,Mr.,https://www.linkedin.com/in/osaidahosa/,,Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Computer Science,Software,Full Time,,Carleton University,True,False,True,True 9fb18b00-3cb1-4ea7-8d89-02a7ffb46b17,itsmonikaa1@gmail.com,Monika,Jacob,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-02-29T10:19:33.989Z,2020-02-29T10:19:34.014Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,Not Found,,Graduate Degree (Masters),,Computer Science,Education,Full Time,,Lakehead University,True,True,True,True -43cee132-e35e-42b9-b9fd-b0eb0ae15882,amit.sandhel@gmail.com,Amit,Sandhel,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Software Developer,"I have completed a Masters of Engineering -in Mechanical and Industrial Engineering degree at the University of Toronto. I am confident that my 8 years -of experience building production level software systems and my can do attitude as an ideal candidate for -this opportunity. I am a great analytical and deep-dive thinker with the ability to solve complex and -challenging problems. I have worked across multiple industries ranging from medicine, chemistry, energy, -transportation, chemical engineering, business and teaching. I have three major skills to provide, automation, -UX/UI design for Human Computer Interactions (HCI) and data analytics including ontologies, AI and ML -with messy real-world data.",647-785-9942,,https://amitsportfolio1.wordpress.com/,,https://linkedin.com/in/amit-sandhel-46062653,,True,False,,Brampton,Ontario,,Canada,linkedin,2020-09-25T16:28:03.407Z,2020-09-25T16:28:03.422Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://linkedin.com/in/amit-sandhel-46062653,,Graduate Degree (Masters),Senior Level (5+ Years),Masters of Engineering Mechanical and Industrial Engineering at the University of Toronto,"Construction or Infrastructure, Education, Health, Manufacturing , Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract",,University of Toronto,True,False,True,True -031499dd-55f3-489e-9240-d34e731c9638,carlos.guzman@guzgon.com,CARLOS,GUZMAN,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Experienced Manager ,"Leverage business opportunities in Fortune 1000 companies to implement multiple IT initiatives. Lead concurrent high-visibility programs in complex matrix environments, working with multidisciplinary/global teams at different organizational levels. Detail-oriented self-starter, adept at executing under conditions of uncertainty and stress. Out-of-the-box critical thinker recognized for strategically reshaping the company’s future. Synthesize complex issues and provide solutions to C-level, using strong analytical skills. -Build consensus with customers, employees, and service providers in multinational/multicultural environments, consistently exceeding client expectations and customer service. Use excellent leadership skills to develop high-performing teams that work collaboratively towards achieving objectives in a friendly and constructive environment. Effective communicator, sustaining engagement with a wide variety of stakeholders via proactive program governance. -",416 786 9861 ,,,,https://www.linkedin.com/in/carlos-a-guzman,,True,False,https://canadaai.jobboard.io/api/v1/profiles/031499dd-55f3-489e-9240-d34e731c9638/resume,Toronto,Ontario,,Canada,,2020-10-05T20:26:42.533Z,2020-10-06T13:58:11.128Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Already Graduated,,Mr.,https://www.linkedin.com/in/carlos-a-guzman,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Management on Analytics,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media)","Full Time, Contract",,Queen's University,True,True,True,True -30d743a0-d906-4c61-988a-ae071d0bedf4,goldnslim@gmail.com,Chika,Ibegbu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Experienced Data analyst/Data scientist,"A diligent data analyst with an advanced certificate in data science, an advanced data science diploma and over 7 years of business intelligence through supporting manufacturing and Information technology companies with process driven focus, ensuring visualization with graphical trends and dashboard presentations. I understand big data analysis in terms of ETL ,I posses predictive analytics, programming , data modelling, data cleaning and great communication skills. I also have good skills in SQL, Python, Power BI, SAS, Tableau, Microsoft BI, Microsoft excel . please check out my portfolio on https://chika-ibegbu.github.io/ChikaIbegbu.github.io/ , my codes on https://github.com/chika-ibegbu and my visualizations on https://public.tableau.com/profile/chika.ibegbu#!/",3653369123,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/30d743a0-d906-4c61-988a-ae071d0bedf4/resume,Toronto,Ontario,,Canada,,2022-02-07T12:27:36.459Z,2022-02-07T12:27:36.539Z,False,False,Connected to Vector Research,Yes,Post Graduate Affiliate,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/chika-ibegbu/,"AI safety, Data science, Machine learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Data Science,"Financial Services, Software, Technology (Information and Media)","Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",Other,True,True,True,True -1614d251-990b-4fb6-965c-fc3a1a7c5582,chandramouli.sastry@gmail.com,Chandramouli,Shama Sastry,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,2nd Year PhD Student,,902-580-0862,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/1614d251-990b-4fb6-965c-fc3a1a7c5582/resume,Halifax,Nova Scotia,,Canada,,2019-12-02T17:27:29.949Z,2021-12-11T22:50:58.945Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Dr. Sageev Oore,Other/Undetermined,,Mr.,https://www.linkedin.com/in/chandramoulisastry/,,Postgraduate Degree (PhD),Entry Level (0-2 Years),PhD,Type of Work is More Important to me than Sector,"Internship, Co-op",,Other,True,True,True,True -a639535a-43c7-47fe-a80a-38bb1d8148b8,kmotaval@yorku.ca,Kourosh,Motavalizadeh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Software Engineer/ Student,I am an enthusiastic software engineer eager to learn all the lead industry technology to better serve my community.,4168572003,,,,https://www.linkedin.com/in/kourosh-motavalizadeh/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a639535a-43c7-47fe-a80a-38bb1d8148b8/resume,Toronto,Ontario,,Canada,,2020-10-26T20:52:59.029Z,2020-10-26T20:52:59.057Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Schulich School of Businness,Already Graduated,,Mr.,https://www.linkedin.com/in/kourosh-motavalizadeh/,,Graduate Degree (Masters),Entry Level (0-2 Years),1st Year/ Last year,"Education, Financial Services, Health, Retail, Software, Technology (Product Development), Telecommunications",Full Time,,York University,True,True,True,True -58bb4bc5-6184-4eb8-90b5-d88cbf9d7acc,copara3@uwo.ca,Chidera ,Opara ,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-12-25T02:21:35.142Z,2021-12-25T02:21:35.189Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,N/A,"Healthcare and/or medical imaging, Physics",Graduate Degree (Masters),Entry Level (0-2 Years),Medical Biophysics,,"Full Time, Capstone Project","Machine Learning Engineer, Machine Learning Researcher/Scientist ",Western University,True,True,True,True -2b6838ee-2a11-4fe1-9a64-5899257bda02,rebecca.ngan@mail.utoronto.ca,Rebecca,Ngan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Registered Nurse | Executive Master of Health Informatics,"I'm a Registered Nurse for 13 years with extensive clinical experience ranging from acute care, primary health in low resource setting and international humanitarian projects. I'm currently enrolled in the Executive Master of Health Informatics at University of Toronto. My interest lies in improving quality and efficiency in the workflow of front line staff as well as improving access to healthcare in low resource setting through the use of technology. ",,,,,https://www.linkedin.com/in/rebecca-ngan-0190771b7/,,True,False,,Toronto,Ontario,,Canada,,2020-09-17T16:54:33.062Z,2020-09-21T13:44:32.066Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/rebecca-ngan-0190771b7,,Undergraduate Degree (Bachelors),Senior Level (5+ Years),Executive Master of Health Informatics,Health,"Full Time, Contract, Capstone Project",,University of Toronto,True,True,True,True -0f57078c-3e6e-4354-b507-c34c947bf248,jasonzjc@mie.utoronto.ca,Jiachen,Zhang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Experienced Researcher,Engineering Ph.D. candidate passionate about artificial intelligence and operations research.,6478935856,,,,https://www.linkedin.com/in/jiachen-zhang-0094a118b/,,True,False,,Toronto,Ontario,,Canada,,2022-01-13T20:27:32.838Z,2022-01-17T13:55:17.454Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/jiachen-zhang-0094a118b/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),3rd,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Transportation, Type of Work is More Important to me than Sector",Internship,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",University of Toronto,True,True,True,True -645c1a01-5f8b-49a8-bfc9-32f6d5b66a6b,shayanko@eecs.yorku.ca,Shayan,Kousha,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,I'm a second-year master's student at York University working on modeling camera noise in the sRGB domain.,6479362130,,,,https://www.linkedin.com/in/shayan-kousha-742a32122/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/645c1a01-5f8b-49a8-bfc9-32f6d5b66a6b/resume,,,,,,2020-09-11T13:47:18.098Z,2022-01-03T16:20:14.162Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Marcus Brubaker,Already Graduated,,Mr.,https://www.linkedin.com/in/shayan-kousha-742a32122/,"Computer vision, Few-shot learning, Generative modeling",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer science,"Software, Type of Work is More Important to me than Sector","Full Time, Internship","Machine Learning Engineer, Machine Learning Researcher/Scientist ",York University,True,True,True,True -8f1466c5-2206-4707-b11d-f6b33952613e,20sm127@queensu.ca,Shitangshu,Maity,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Analyst ,,6477856581,,,,,,True,False,,Toronto,Ontario,,Canada,,2022-01-19T01:34:41.714Z,2022-01-19T01:34:41.777Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/shitangshu-maity/,"Machine learning, Natural language processing, Privacy, anonymity, and/or security, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),MASTER OF MANAGEMENT ANALYTICS,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",Queen's University,True,True,True,True -b4ec3408-83f2-4485-82c4-93996c33f6bd,cs19mtech11025@iith.ac.in,Chaitanya,Devaguptapu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-10-18T03:44:11.441Z,2021-10-18T03:44:11.498Z,False,False,Connected to Vector Research,Yes,Post Graduate Affiliate,Dr. Animesh Garg,Already Graduated,,Mr.,N/A,"Computer vision, Deep learning, Machine learning, Representation learning, Self-supervised learning, Transfer learning",Graduate Degree (Masters),Entry Level (0-2 Years),Masters in CS,"Education, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -7c677cb7-1550-46c9-921d-5409ecb7f318,vithursan.thangarasa@gmail.com,Vithursan,Thangarasa,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-02T17:41:05.655Z,2019-12-02T17:41:05.693Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,,,Mr.,https://www.linkedin.com/in/vithursant/,,,,Engineering Systems and Computing,"Financial Services, Telecommunications",Full Time,,University of Guelph,True,True,True,True -f76848a8-0b4e-402c-80db-9604f2014f21,q1yu@ryerson.ca,Peter,Yu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f76848a8-0b4e-402c-80db-9604f2014f21/resume,,,,,,2021-08-29T05:01:41.544Z,2021-09-11T17:58:04.611Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/peter-qinyun-yu/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Data science and analytics,"Financial Services, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Transportation","Full Time, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Ryerson University,True,True,True,True +6802ba0a-7f1a-4f72-8ff6-eb017000a206,rohit.shankar@queensu.ca,Rohit,Shankar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-12-22T19:56:57.779Z,2022-01-06T21:13:36.051Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/rohitshankar-pmpcet,,,,,,,,,True,False,True,True 0af1e503-fa79-4f70-b7bb-3d5ec2469d99,slakma@uwo.ca,Spandana,Lakma,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Senior Application Developer,Computer Science graduate student with 4+ years of experience in building highly scalable applications.,6475751766,,,,https://www.linkedin.com/in/spandana-lakma-2bb1a21a8/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/0af1e503-fa79-4f70-b7bb-3d5ec2469d99/resume,London,Ontario,,Canada,,2020-10-30T15:30:41.831Z,2020-11-04T23:06:10.346Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/spandana-lakma-2bb1a21a8/,,Graduate Degree (Masters),Mid-Level (3-5 Years),M.Sc in Computer Science,"Software, Type of Work is More Important to me than Sector","Full Time, Internship",,Western University,True,False,True,True 781da577-6bf0-406f-bb75-a31dea017189,avnish@mit.edu,Avnish,Kumar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/avnishks/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/781da577-6bf0-406f-bb75-a31dea017189/resume,,,,,,2020-11-05T18:45:09.915Z,2020-11-05T18:45:09.946Z,False,False,Not Affiliated with Vector,No,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/avnishks/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Electrical Engineering,,"Full Time, Internship",,Other,True,False,True,True +39ff1973-9195-4412-b18e-7c72f6f99813,20ts9@queensu.ca,Taha,Shafique,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/39ff1973-9195-4412-b18e-7c72f6f99813/resume,Mississauga,Ontario,,Canada,,2020-09-22T13:31:32.392Z,2020-09-22T13:31:32.418Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/taha-s-031075135/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Masters of Management in Artificial Intelligence,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Capstone Project",,Queen's University,True,False,True,True +477be4ac-6222-4257-a9d6-17ddc125e7c2,shalini.m.persaud@gmail.com,Shalini,Persaud,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Research and Data Scientist,"I am a passionate and driven research and data scientist with a focus on health, wellness, and social wellbeing while remaining a highly motivated, self-starting, goal-oriented individual. As a data scientist, I have developed, executed and collaborated on various projects and accumulated over 10 years of experience in synthesizing research evidence, developing projects and program implementation. Along with my strong minded business approach to managing multiple projects and members of a staff in rapidly changing environment; I can direct, coordinate and manage projects from infancy through to completion. Possessing strong communicable capabilities, I can apply and leverage scientific knowledge. My analytical knowledge is further exemplified by years as an experimental researcher and health and wellness consultant. ",,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/477be4ac-6222-4257-a9d6-17ddc125e7c2/resume,,,,,,2020-10-20T03:18:08.359Z,2020-10-20T03:18:08.398Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,Post Graduate from York University,Dr.,https://www.linkedin.com/in/shalini-moonsammy-persaud-ph-d-m-sc-csep-cep-353467ab/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Kinesiology and Health Science,"Education, Health","Full Time, Contract",,York University,True,True,True,True +a639535a-43c7-47fe-a80a-38bb1d8148b8,kmotaval@yorku.ca,Kourosh,Motavalizadeh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Software Engineer/ Student,I am an enthusiastic software engineer eager to learn all the lead industry technology to better serve my community.,4168572003,,,,https://www.linkedin.com/in/kourosh-motavalizadeh/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a639535a-43c7-47fe-a80a-38bb1d8148b8/resume,Toronto,Ontario,,Canada,,2020-10-26T20:52:59.029Z,2020-10-26T20:52:59.057Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Schulich School of Businness,Already Graduated,,Mr.,https://www.linkedin.com/in/kourosh-motavalizadeh/,,Graduate Degree (Masters),Entry Level (0-2 Years),1st Year/ Last year,"Education, Financial Services, Health, Retail, Software, Technology (Product Development), Telecommunications",Full Time,,York University,True,True,True,True d0abc901-d32a-4833-9a9e-4c609d25f17a,g46sharm@uwaterloo.ca,Gauri,Sharma,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Mechatronics Engineering Graduate Student,Specialization towards machine intelligence and automation.,5195881549,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d0abc901-d32a-4833-9a9e-4c609d25f17a/resume,Waterloo,Ontario,,Canada,,2021-01-06T12:03:33.382Z,2021-01-06T12:03:33.413Z,False,False,Recognized Masters Program,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,N/A,"Computer vision, Deep learning, Robotics",Graduate Degree (Masters),Entry Level (0-2 Years),Mechatronics Engineering,"Health, Manufacturing , Software, Technology (Product Development), Telecommunications",Full Time,,University of Waterloo,True,True,True,True e9a32232-b3bc-43f7-b782-b0110daf9a2f,ehosseini2108@gmail.com,Seyederfan,Hosseini,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,https://github.com/erfanhss,,https://www.linkedin.com/in/erfan-hosseini-1169b1133/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e9a32232-b3bc-43f7-b782-b0110daf9a2f/resume,,,,,,2020-11-06T04:05:15.329Z,2021-06-20T02:25:28.463Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,ON,Spring/Summer 2021,,Mr.,https://www.linkedin.com/in/erfan-hosseini-1169b1133/,"Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Electrical and Computer engineering,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True b6defba2-114e-440f-8293-4c3253d276b0,huang@cs.toronto.edu,Sicong,Huang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,PhD student in CS and Neuroscience,,4165754865,,https://www.cs.toronto.edu/~huang/,,https://www.linkedin.com/in/sicong-sheldon-huang-7a4292106/,sicong_huang,True,False,,Toronto,Ontario,,Canada,,2020-10-23T13:10:34.210Z,2021-01-13T18:30:31.655Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Ontario,Fall 2024 (August - November),,Mr.,https://www.linkedin.com/in/sicong-sheldon-huang/,"Deep learning, Generative modeling, Neuroscience",Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),"CS, Math, Statistics, Neuroscience","Health, Type of Work is More Important to me than Sector",Internship,,University of Toronto,True,True,True,True -39ff1973-9195-4412-b18e-7c72f6f99813,20ts9@queensu.ca,Taha,Shafique,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/39ff1973-9195-4412-b18e-7c72f6f99813/resume,Mississauga,Ontario,,Canada,,2020-09-22T13:31:32.392Z,2020-09-22T13:31:32.418Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/taha-s-031075135/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Masters of Management in Artificial Intelligence,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Capstone Project",,Queen's University,True,False,True,True -477be4ac-6222-4257-a9d6-17ddc125e7c2,shalini.m.persaud@gmail.com,Shalini,Persaud,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Research and Data Scientist,"I am a passionate and driven research and data scientist with a focus on health, wellness, and social wellbeing while remaining a highly motivated, self-starting, goal-oriented individual. As a data scientist, I have developed, executed and collaborated on various projects and accumulated over 10 years of experience in synthesizing research evidence, developing projects and program implementation. Along with my strong minded business approach to managing multiple projects and members of a staff in rapidly changing environment; I can direct, coordinate and manage projects from infancy through to completion. Possessing strong communicable capabilities, I can apply and leverage scientific knowledge. My analytical knowledge is further exemplified by years as an experimental researcher and health and wellness consultant. ",,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/477be4ac-6222-4257-a9d6-17ddc125e7c2/resume,,,,,,2020-10-20T03:18:08.359Z,2020-10-20T03:18:08.398Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,Post Graduate from York University,Dr.,https://www.linkedin.com/in/shalini-moonsammy-persaud-ph-d-m-sc-csep-cep-353467ab/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Kinesiology and Health Science,"Education, Health","Full Time, Contract",,York University,True,True,True,True c27be8d3-d3a2-473c-8973-35574154df35,cathy.ongly@mail.utoronto.ca,Cathy,Ong Ly,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,Toronto,Ontario,,Canada,,2020-10-23T13:10:32.951Z,2020-10-23T17:54:55.489Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Chris McIntosh,Fall 2021,,Miss.,https://www.linkedin.com/in/cathyongly/,,Graduate Degree (Masters),Entry Level (0-2 Years),Medical Biophysics,,Full Time,,University of Toronto,True,True,True,True 198a3862-78bd-4dea-bedf-ab7a7654be45,i2melgar@uwaterloo.ca,Irene,Melgarejo Lermas,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-09-24T20:12:54.401Z,2020-09-24T20:56:51.190Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/irene-melgarejo-lermas-0281a2139/,,,,,,,,,True,True,True,True f748a4c3-4e79-425a-b477-4b688c86427e,k25shen@schulich.yorku.ca,Kaile,Shen,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,5197299716,,https://www.github.com/k25shen/projects,,https://www.linkedin.com/in/kaile-shen-87b127127/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f748a4c3-4e79-425a-b477-4b688c86427e/resume,Toronto,Ontario,,Canada,,2020-09-25T04:14:37.459Z,2020-09-25T04:14:37.484Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Select an option...,Already Graduated,,Mr.,https://www.linkedin.com/in/kaile-shen-87b127127/,,Graduate Degree (Masters),Entry Level (0-2 Years),Business Analytics,"Retail, Technology (Information and Media), Type of Work is More Important to me than Sector","Full Time, Internship",,York University,True,True,True,True -f0b73004-9050-4fd0-b1ab-57aaf2970d4c,ashikamatt1@gmail.com,Ashika,Mattu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-06-03T21:30:05.284Z,2022-06-10T19:37:37.016Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Ms.,https://www.linkedin.com/in/ashika-mattu/,"Data science, Deep learning, Fairness, Law, ethics and policy, Machine learning, Natural language processing, Online learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Masters in IT Security with specialization in AI,"Education, Health, Software, Technology (Product Development), Transportation, Type of Work is More Important to me than Sector","Internship, Co-op","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer",OntarioTech University,True,False,True,True c28d1fb2-323f-43dc-9acb-fcf4cb836f60,linj51@schulich.yorku.ca,Jingyao,Lin,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,647-921-6927,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c28d1fb2-323f-43dc-9acb-fcf4cb836f60/resume,,,,,,2020-09-17T16:54:34.903Z,2020-09-24T12:00:27.238Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,N/A,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management in Artificial intelligence,"Manufacturing , Professional Services (e.g Consulting), Retail, Technology (Information and Media)","Full Time, Internship",,York University,True,True,True,True af38955d-ce8b-4618-bbb4-2b23be2cfeac,ady@vectorinstitute.ai,Adam,Dziedzic,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-11-06T15:01:25.113Z,2020-11-07T21:21:35.856Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/adziedzic/,,,,,,,,,True,False,True,True -18019724-9942-4093-8e27-365146b29eb1,iparida@uwaterloo.ca,Ipsita,Parida,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Experienced Full Stack Developer. Student at University of Waterloo. Looking for opportunities in AI/ML area ,,(226) 581 0506,,,,https://www.linkedin.com/in/ipsitaparida/,,True,False,,Waterloo,Ontario,,Canada,,2022-05-12T14:22:40.537Z,2022-05-12T15:55:10.737Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Miss.,https://www.linkedin.com/in/ipsitaparida/,"Data science, Machine learning, Recommender systems",Graduate Degree (Masters),Mid-Level (3-5 Years),Systems Design Engineering ( AI/ ML specialization),"Financial Services, Professional Services (e.g Consulting), Retail, Software, Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Waterloo,True,True,True,True -86e70a26-28b8-42b3-9f15-6d33acbec072,mozhgan.saeidi@vectorinstitute.ai,Mozhgan,Saeidi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-04-24T00:02:29.400Z,2022-04-28T04:34:41.082Z,False,False,Internal Staff,Yes,Post Graduate Affiliate,,Already Graduated,I am a machine learning intern at the Vector engineering group,Ms.,N/A,"AI safety, Computational biology, Data science, Deep learning, Fairness, Few-shot learning, Generative modeling, Healthcare and/or medical imaging, Machine learning, Natural language processing, Neuroscience, Optimization, Recommender systems, Reinforcement learning, Representation learning, Robotics, Self-supervised learning, Statistical learning theory, Time-series forecasting and modelling, Unsupervised learning",Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Science,"Education, Health, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Scientist, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -f4f1da71-3cef-4efd-8292-b4560a4fd048,pxu67@uwo.ca,Pengcheng,Xu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,"I am currently a Ph.D. student in the C.S. department at Western University. Previously, I was a graduate student at the University of Maryland, College Park working on computer vision. I have done research intern at the U.S. Army Research Institute, Chinese University of Hong Kong, Shenzhen. -My research is about computer vision and transfer learning including domain adaptation on classification, segmentation, and detection tasks. Previously, I have also done research in deep reinforcement learning and graph neural networks.",,,,,https://www.linkedin.com/in/pengcheng-xu-082506134/,,True,False,,,,,,,2021-09-23T13:47:22.758Z,2021-09-23T13:47:22.789Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Student or Postdoc of a Vector Faculty Member,Boyu Wang,Fall 2024 (August - November),,Mr.,https://www.linkedin.com/in/pengcheng-xu-082506134/,"Computer vision, Deep learning, Transfer learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Vision and Artificial Intelligence,"Software, Technology (Information and Media)",Internship,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Western University,True,True,True,True -e9463e15-d1a7-4dc2-b044-3bfb36540b45,bonnie.chao@mail.utoronto.ca,Bonnie,Chao,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,PhD Candidate (Data Science in Medicine),,6478792748,,,,https://www.linkedin.com/in/bonnie-chao-293151104/,,True,False,,Toronto,Ontario,,Canada,,2021-09-01T20:47:45.496Z,2021-09-01T22:13:09.061Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,ON,Fall 2024 (August - November),,Ms.,https://www.linkedin.com/in/bonnie-chao-293151104/,"Computer vision, Data science, Healthcare and/or medical imaging",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Biomedical Engineering,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op, Contract, Capstone Project","Data Engineer, Data Scientist, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -b1936354-cc79-4b38-b3f2-ce30b6ecdebe,sendtodevyug@gmail.com,Devashish,Khairnar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-11-09T21:33:15.898Z,2021-11-10T16:31:51.953Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/devashishkhairnar/,,,,,,,,,True,True,True,True -af54183f-1e5c-4c39-adc0-aea2af3cb729,philipp.eibl@outlook.com,Philipp,Eibl,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-05-16T17:44:07.125Z,2022-05-16T17:44:07.162Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Frank Rudzicz,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/philippeibl/,"Adversarial learning, Generative modeling, Natural language processing",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science,Type of Work is More Important to me than Sector,"Full Time, Internship","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -3a83bc5d-84de-449c-a640-2b9bf034a760,mfarahani@mun.ca,Mozhgan,Farahani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,7092193097,,,,https://www.linkedin.com/in/mozhgan-farahani,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3a83bc5d-84de-449c-a640-2b9bf034a760/resume,Saint John's,Newfoundland and Labrador,,Canada,,2021-10-14T23:06:54.476Z,2022-05-21T10:41:17.716Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,Memorial University of Newfoundland,Already Graduated,,Miss.,https://www.linkedin.com/in/mozhgan-farahani/,"Computational biology, Computer vision, Data science, Deep learning, Game theory, Healthcare and/or medical imaging, Machine learning, Neuroscience, Online learning, Physics, Robotics",Graduate Degree (Masters),Mid-Level (3-5 Years),Mathematics,"Education, Financial Services, Health, Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True -222ebd5d-a339-4f81-8cfa-e45f9913102a,christoff.reimer@uottawa.ca,Christoff,Reimer,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Graduate Student Researcher,,,,,,https://www.linkedin.com/in/christoff-reimer/,,True,False,,Toronto,Ontario,,Canada,,2022-03-07T20:05:29.205Z,2022-03-08T03:48:48.205Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Isaac Tamblyn,Already Graduated,,Mr.,www.linkedin.com/in/christoff-reimer/,"Bioinformatics, Computational biology, Deep learning, Graphical models, Healthcare and/or medical imaging, Machine learning, Physics, Privacy, anonymity, and/or security",Graduate Degree (Masters),Entry Level (0-2 Years),Physics,"Financial Services, Health, Public Administration (i.e Gov't), Software, Technology (Product Development), Type of Work is More Important to me than Sector",Internship,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Ottawa,True,False,True,True -6eb350cc-271b-49a8-9950-5db518bcd7fb,17zf17@queensu.ca,Zhiwei,Fu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Researcher,,6474048711,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6eb350cc-271b-49a8-9950-5db518bcd7fb/resume,Kingston,Ontario,,Canada,,2022-05-05T16:28:04.082Z,2022-05-05T16:30:13.991Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,ONTARIO,Fall 2024 (August - November),,Mr.,N/A,"AI safety, Deep learning, Machine learning, Privacy, anonymity, and/or security",Graduate Degree (Masters),Entry Level (0-2 Years),MSc. in Artificial Intelligence,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op","Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",Queen's University,True,False,True,True -da58b079-2b3c-4cf7-a53d-280deb007a42,danfernan@gmail.com,Dan,Fernandez,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-04-19T03:23:50.950Z,2022-04-19T03:23:50.990Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Spring/Summer 2023 (April - July),,Mr.,N/A,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Management Analytics (MMA),Type of Work is More Important to me than Sector,Full Time,Other ,Queen's University,True,True,True,True -58c78948-47e2-43b0-8767-022542e2635a,hchinae@gmail.com,Hamidreza,Chinaei,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,AI/NLP expert,,5145709446,,http://www.cs.toronto.edu/~chinaei/,,https://ca.linkedin.com/in/hamidreza-chinaei-6818a05b,,True,False,https://canadaai.jobboard.io/api/v1/profiles/58c78948-47e2-43b0-8767-022542e2635a/resume,Montreal,Quebec,,Canada,,2021-09-16T14:01:13.634Z,2021-09-16T14:01:13.662Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Dr. Frank Rudzicz,Already Graduated,Former Posdoc of a vector Faculty member,Dr.,https://www.linkedin.com/in/hamidreza-chinaei-6818a05b/,"Machine learning, Natural language processing, Reinforcement learning",Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Science,"Education, Financial Services, Health","Full Time, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Other ",University of Toronto,True,True,True,True -0aeba4b2-f4e7-450a-b5fb-9e4eaad91357,minfanzhang751@gmail.com,Minfan,Zhang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-03-10T13:58:48.556Z,2022-03-10T13:58:48.586Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Marzyeh Ghassemi,Already Graduated,,Mr.,https://www.linkedin.com/in/minfan-zhang-967690b0/,"Data science, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),MSc in Computer Science,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True -34d6b13e-2ec5-439e-8986-7765e4a12f29,ezgisaricoban@gmail.com,Ezgi,Saricoban,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-04-19T03:50:21.193Z,2022-04-26T20:18:32.641Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/ezgisaricoban/?originalSubdomain=ca,"Data science, Fairness",Graduate Degree (Masters),Mid-Level (3-5 Years),Management Analytics,Type of Work is More Important to me than Sector,Full Time,Other ,University of Toronto,True,True,True,True -6b9ed59b-b327-4ce9-9f16-ab82bce48c35,arvindpmenon@gmail.com,Arvind,Menon,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2022-05-01T03:43:02.334Z,2022-05-01T03:43:02.354Z,False,False,Vector Scholarship Recipient,Yes,,,,,,https://www.linkedin.com/in/arvind-menon-164939b0/?originalSubdomain=ca,,,,,,,,,True,True,True,True b6d040b8-8811-4f99-8cdf-8a2dd3c66feb,parand@cs.toronto.edu,Parand,Alizadeh Alamdari,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,PhD Student - Machine Learning and Artificial Intelligence Researcher ,,6478902903,,https://praal.github.io,,https://www.linkedin.com/in/parand-alizadeh-alamdari-1a652a23a/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b6d040b8-8811-4f99-8cdf-8a2dd3c66feb/resume,Toronto,Ontario,,Canada,,2022-02-15T15:05:07.514Z,2022-09-21T00:24:51.852Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Sheila McIlraith,Other/Undetermined,,Ms.,N/A,"AI safety, Deep learning, Fairness, Interpretability, Machine learning, Reinforcement learning, Representation learning, Transfer learning",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science,"Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector",Internship,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True -d3701970-43d0-41fb-8f9c-3d6658cc9df8,19hl29@queensu.ca,Jerry,Liu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-02T20:55:52.601Z,2019-12-02T20:55:52.636Z,False,False,Recognized Masters Program,No,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/jerryzxliu/,,,,Master of Management in Artificial Intelligence,,"Full Time, Capstone Project",,Queen's University,True,True,True,True -2ee82dc7-b34f-4147-a1a3-7cdb930938b1,pritam.mfit2023@gmail.com,Pritam,Mukherjee,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2ee82dc7-b34f-4147-a1a3-7cdb930938b1/resume,,,,,,2022-10-23T14:48:17.082Z,2022-10-23T14:48:17.128Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/pritam-mukherjee-0b050717/,"AI safety, Anomaly detection, Machine learning, Privacy, anonymity, and/or security, Reinforcement learning, Time-series forecasting and modelling",Graduate Degree (Masters),Senior Level (5+ Years),Master of Financial Innovation & Technology,"Education, Financial Services, Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Capstone Project","Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Queen's University,True,True,True,True 806d4933-fa00-46c1-a974-7704076c5e11,roop11@schulich.yorku.ca,Paramroop,.,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/paramroop,,True,False,https://canadaai.jobboard.io/api/v1/profiles/806d4933-fa00-46c1-a974-7704076c5e11/resume,Toronto,Ontario,,Canada,,2021-09-19T20:18:10.631Z,2022-06-21T20:42:58.229Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,N/A,,Graduate Degree (Masters),Mid-Level (3-5 Years),Masters in Business Analytics,"Construction or Infrastructure, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Product Development)",Full Time,"Data Scientist, Product/Project Manager",York University,True,True,True,True 8be94fbc-f5ff-4271-9a02-4eb34ba05048,mjavorac@lakeheadu.ca,Marko,Javorac,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6479845533,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8be94fbc-f5ff-4271-9a02-4eb34ba05048/resume,Toronto,Ontario,,Canada,,2021-07-20T18:04:33.336Z,2021-07-22T16:43:50.287Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/marko-javorac-200516219/,"Computer vision, Data science, Deep learning, Machine learning, Natural language processing, Neuroscience, Reinforcement learning, Representation learning, Transfer learning, Unsupervised learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),MSc Computer(Specialization in Ai),"Education, Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Transportation, Type of Work is More Important to me than Sector","Full Time, Internship","Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Lakehead University,True,True,True,True +58c78948-47e2-43b0-8767-022542e2635a,hchinae@gmail.com,Hamidreza,Chinaei,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,AI/NLP expert,,5145709446,,http://www.cs.toronto.edu/~chinaei/,,https://ca.linkedin.com/in/hamidreza-chinaei-6818a05b,,True,False,https://canadaai.jobboard.io/api/v1/profiles/58c78948-47e2-43b0-8767-022542e2635a/resume,Montreal,Quebec,,Canada,,2021-09-16T14:01:13.634Z,2021-09-16T14:01:13.662Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Dr. Frank Rudzicz,Already Graduated,Former Posdoc of a vector Faculty member,Dr.,https://www.linkedin.com/in/hamidreza-chinaei-6818a05b/,"Machine learning, Natural language processing, Reinforcement learning",Postgraduate Degree (PhD),Senior Level (5+ Years),Computer Science,"Education, Financial Services, Health","Full Time, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Other ",University of Toronto,True,True,True,True 4eb06682-fa3a-47d1-af05-88a57c920754,abdelanwar96@gmail.com,Abdelrahman,Mohamed,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-09-10T17:42:43.992Z,2021-09-10T19:45:57.196Z,False,False,Vector Scholarship Recipient,Yes,,,,,,https://www.linkedin.com/in/allam95/,,,,,,,,,True,True,True,True d8affc01-29a2-4696-9b93-5fb73f7ae4fd,a.tolouee@gmail.com,Azar,Tolouee,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,"Accomplished Ph.D. scientist with more than 5 years of experience in conducting high-level scientific research in electrical, computer and biomedical engineering to develop new innovative techniques and software in image and signal processing, and image-guided interventions. Award-winning teaching and communication experience with strategic analytical approach to problem solving. An energetic, adaptive, and fast-learning person with a broad interest in machine learning, computer vision, data mining, robotics, and medical image computation. ",,,,,https://www.linkedin.com/in/azartolouee/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d8affc01-29a2-4696-9b93-5fb73f7ae4fd/resume,,,,,,2020-09-04T03:05:22.572Z,2021-01-06T14:45:40.509Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Post Graduate Affiliate,,Already Graduated,,Ms.,https://www.linkedin.com/in/azartolouee/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Electrical and Computer Engineering,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Retail, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Contract",,Ryerson University,True,True,True,True 877e275d-f648-46d6-aedc-cbebced32b8b,whtitefall@gmail.com,YuanZheng,Hu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-08-24T21:14:44.478Z,2021-08-25T16:09:13.584Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/yuanzheng-hu-b66bba133/,,,,,,,,,True,True,True,True @@ -4913,24 +4979,14 @@ b369aa74-3f2e-4349-86ca-863504e1cbb2,preritchaudhary16@gmail.com,Prerit,Chaudhar 0c90448f-e91c-4858-8787-a38557dd63cc,boyang.wen@rotman.utoronto.ca,Boyang (Sally),Wen,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-08-24T21:14:51.502Z,2021-08-25T15:58:06.665Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/bo-yang-sally-wen/,,,,,,,,,True,False,True,True 07f8e013-4bab-4e69-8180-b52014f19774,gupta.d@queensu.ca,Divij,Gupta,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-05-04T15:07:01.227Z,2021-05-06T19:10:22.388Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/divij--gupta/,,,,,,,,,True,True,True,True b7bf8d37-04d5-455b-afef-9a57ed757851,andy.ting@mail.utoronto.ca,Andy,Ting,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-06-02T13:19:17.980Z,2021-06-02T17:18:44.511Z,False,False,Not Affiliated with Vector,Yes,,,,,,N/A,,,,,,,,,True,False,True,True -fe66fd3e-d0be-49f9-a4fd-a87a61480058,shiva.akbari@mail.utoronto.ca,Shiva,Akbari,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,PhD Candidate ,Motivated PhD candidate in signal processing with a background in applied machine learning. Seeking internship in AI to gain hands-on experience. Outgoing and friendly with a strong drive to succeed.,4372208713,,,,https://www.linkedin.com/in/shiva-akbari-04606a84/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/fe66fd3e-d0be-49f9-a4fd-a87a61480058/resume,Toronto,Ontario,,Canada,,2022-08-26T19:00:55.240Z,2022-08-29T15:30:52.257Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Unsure,ON,Winter 2024 (December 2023 - March 2024),I am a PhD student in U of T (Electrical engineering),Miss.,https://www.linkedin.com/in/shiva-akbari-04606a84/,"Computer vision, Deep learning, Generative modeling, Machine learning, Online learning, Optimization, Quantum computing, Reinforcement learning, Representation learning, Robotics",Postgraduate Degree (PhD),Mid-Level (3-5 Years),4,"Financial Services, Health, Technology (Information and Media), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True -08a0837b-dd64-4c7f-a71a-5b4f166c722f,saeedforghani7@gmail.com,Saeed,Forghani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/saeedforghani/,,True,False,,,,,,,2022-08-18T20:11:46.191Z,2022-08-19T06:40:00.535Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/saeedforghani/,,,,,,,,,True,True,True,True -c214cbbe-8eac-42e1-81a8-9d820c97bece,ahmedanwar5295@gmail.com,Ahmed,Anwar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Management Engineering Student,"I am graduate research student at the University of Waterloo. My research interests lie in the intersection of Natural Language Processing, Human Computer Interaction and Computational Social Science.",5194654924,,https://sites.google.com/view/ahmedanwar/home,,https://www.linkedin.com/in/a26anwar/,a2anwar,True,False,https://canadaai.jobboard.io/api/v1/profiles/c214cbbe-8eac-42e1-81a8-9d820c97bece/resume,Waterloo,Ontario,,Canada,,2022-01-13T20:27:32.303Z,2022-05-12T16:06:55.444Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/a26anwar/,"Anomaly detection, Computer vision, Data science, Deep learning, Machine learning, Time-series forecasting and modelling, Transfer learning, Unsupervised learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),MASc Management Science,,Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Waterloo,True,True,True,True -4558e22d-c661-4b66-a473-7f6cc8a29393,nvierjakurawige7@gmail.com,Kurawige,Janvier,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,MSc Data Science and Analytics Student,,289 228 2799,,,,,,True,False,,Hamilton,Ontario,,Canada,,2022-09-20T15:14:51.780Z,2022-09-23T17:17:27.275Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2024 (August - November),,Mr.,https://www.linkedin.com/in/kurawige-janvier,"Bayesian methods, Data science, Deep learning, Machine learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),MSc Data Science and Analytics,,"Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",Ryerson University,True,True,True,True -d300fcc1-2703-4de2-94fa-e02a237df3bb,akhisti@ece.utoronto.ca,Ashish,Khisti,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Looking for Challenging Research Oriented Positions in Machine Learning,"Ashish Khisti is a full Professor at the University of Toronto in the department of Electrical and Computer Engineering. He is also a faculty affiliate at the Vector Institute. His current research interests include application of deep learning techniques to solve engineering problems across various domains. He also has a strong background in the field of telecommunication systems, information theory and data compression. He research group actively publishes in the top ML conferences. ",4169787215,,https://www.comm.utoronto.ca/~akhisti/,,https://www.linkedin.com/in/ashish-khisti-7744045/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/d300fcc1-2703-4de2-94fa-e02a237df3bb/resume,Toronto,Ontario,,Canada,,2023-06-13T02:45:21.174Z,2023-06-16T00:43:57.120Z,True,False,Connected to Vector Research,Yes,Vector Faculty or Faculty Affiliate,,Already Graduated,,Dr.,https://www.linkedin.com/in/ashish-khisti-7744045/,"Computer vision, Data science, Representation learning",Postgraduate Degree (PhD),Senior Level (5+ Years),Electrical and Computer Engineering,"Education, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Contract",Machine Learning Researcher/Scientist ,University of Toronto,True,True,True,True -f478f3cb-ce22-49bd-bc8b-f8a206ce58ee,patelmayur36@hotmail.com,Mayur,Patel,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/mayur-patel05/,,True,False,,,,,,,2023-05-24T16:47:00.243Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/mayur-patel05/,,,,,,,,,,,, -00988114-c702-499d-a267-be0e1afc3905,veronica.grigorev@gmail.com,Veronika,Grigoreva,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/veronika-grigoreva-a61209245/,,True,False,,,,,,,2023-05-24T17:06:29.528Z,,False,False,,Yes,,,,,,https://www.linkedin.com/in/veronika-grigoreva-a61209245/,,,,,,,,,,,, -0b2da5e1-fa3f-4a05-91e3-d4b6e5954da5,cherrera715@gmail.com,Catalina,Herrera,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/catalina-herrera-44841a66/,,True,False,,,,,,,2023-05-24T16:46:59.577Z,,False,False,Other Vector Programming,Yes,,,,,,https://www.linkedin.com/in/catalina-herrera-44841a66/,,,,,,,,,,,, -7fa513bd-523b-4ec8-ad3c-221854736e4c,annemei.989@gmail.com,Anne,Mei,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/anne-mei/,,True,False,,,,,,,2023-05-24T16:46:59.462Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/anne-mei/,,,,,,,,,,,, -c4f83f06-f647-4a6c-8a15-a8b52723130d,sabouri.sadra@gmail.com,Sadra,Sabouri,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/sadrasabouri/,,True,False,,,,,,,2023-05-24T17:06:29.104Z,,False,False,,Yes,,,,,,https://www.linkedin.com/in/sadrasabouri/,,,,,,,,,,,, -b521bead-9c9d-4d3c-b90d-da8787917ebb,pouryamz19@gmail.com,Sayyed,Esfahani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/pourya-momtaz/,,True,False,,,,,,,2023-05-24T17:06:29.273Z,,False,False,Vector Scholarship Recipient,Yes,,,,,,https://www.linkedin.com/in/pourya-momtaz/,,,,,,,,,,,, -f96f7ddf-16f3-4d07-b7ed-32d8386e028a,crystal_fang0707@hotmail.com,Zhilin,Fang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/crystal-zhilin-fang-frm-378241114/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f96f7ddf-16f3-4d07-b7ed-32d8386e028a/resume,,,,,,2023-06-06T01:04:49.438Z,2023-06-06T01:04:49.473Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Already Graduated,,Miss.,https://www.linkedin.com/in/crystal-zhilin-fang-frm-378241114/,"Data science, Machine learning, Time-series forecasting and modelling",Graduate Degree (Masters),Mid-Level (3-5 Years),MMA,"Financial Services, Technology (Information and Media), Technology (Product Development)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst",Queen's University,True,True,True,True -b3f139e8-ada4-46f1-b10c-8fc79125f646,weizheng.zhang@mail.utoronto.ca,Weizheng,Zhang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,PhD Student,,6133069966,,https://www.statistics.utoronto.ca/people/directories/graduate-students/weizheng-zhang,,,,True,False,,Toronto,Ontario,,Canada,,2022-08-16T04:52:10.546Z,2023-06-06T11:54:46.242Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Daniel Roy,Spring/Summer 2024 (April - July),,Mr.,None,"Online learning, Reinforcement learning, Statistical learning theory",Postgraduate Degree (PhD),Mid-Level (3-5 Years),PhD in Statistical Sciences,Type of Work is More Important to me than Sector,"Full Time, Internship",Machine Learning Researcher/Scientist ,University of Toronto,True,True,True,True -3a758c99-033a-40c5-9f5f-19a51f9e1e3c,farhanms@myumanitoba.ca,SOUMIK,FARHAN,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Graduate Research Assistant,"Love to work on the problems of machine learning domain, Have experience with working with deep learning with neuroimaging. Proficient in Python, PyTorch, Tensorflow",4319977770,,,,https://www.linkedin.com/in/soumik-farhan/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/3a758c99-033a-40c5-9f5f-19a51f9e1e3c/resume,Winnipeg,Manitoba,,Canada,,2021-06-02T13:19:20.365Z,2023-05-22T20:26:55.931Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/soumik-farhan/,"Computer vision, Data science, Deep learning, Machine learning, Neuroscience",Graduate Degree (Masters),Entry Level (0-2 Years),Biomedical Engineering,"Education, Health","Full Time, Internship, Capstone Project","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True +00ea2fbb-ea16-4f00-927f-f37e00e14531,shubhnoorgill15@gmail.com,Shubhnoor,Gill,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,"Currently enrolled in a Master's program in the field of Artificial Intelligence. A diligent, intellectually curious problem solver with experience in machine learning, data science, data analysis, REST APIs, and technical content writing.",,,,,https://www.linkedin.com/in/shubhnoor-gill-015/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/00ea2fbb-ea16-4f00-927f-f37e00e14531/resume,,,,,,2023-07-06T03:06:21.764Z,2023-07-06T03:06:21.816Z,True,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Fall 2024 (August - November),,Ms.,https://www.linkedin.com/in/shubhnoor-gill-015/,"Computer vision, Data science, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management in Artificial Intelligence,"Education, Health, Technology (Product Development)","Full Time, Internship, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Queen's University,True,True,True,True ea4db221-38b4-4853-8a92-c886a67fa5fd,arnaud.deza@mail.utoronto.ca,Arnaud,Deza,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,2897882876,,,,,,False,False,https://canadaai.jobboard.io/api/v1/profiles/ea4db221-38b4-4853-8a92-c886a67fa5fd/resume,Toronto,Ontario,,Canada,,2022-07-06T11:30:23.701Z,2023-05-25T20:52:25.001Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Elias Khalil,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/arnaud-deza-5380291a1/,"Computer vision, Machine learning, Optimization",Graduate Degree (Masters),Mid-Level (3-5 Years),MASc in Mechanical and Industrial Engineering; BASc in Engineering Science (Machine Intelligence Specialization),"Education, Health, Manufacturing , Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Capstone Project","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Toronto,True,True,True,True 15b42371-c191-40fc-b3dd-b37bcafc9bff,armughankhawaja@gmail.com,Armughan,Khawaja,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-08-13T19:40:47.035Z,2023-05-25T17:48:56.857Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/armughankhawaja/,"Data science, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Health Informatics,"Health, Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Product/Project Manager",University of Toronto,True,True,True,True -416b8ddf-d91d-4f4e-b605-a98d57967043,kevin.kasa@ryerson.ca,Kevin,Kasa,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,https://kevinkasa.github.io/,,https://www.linkedin.com/in/kevin-kasa/,,False,False,,,,,,,2022-08-25T18:32:54.915Z,2023-06-12T21:53:02.745Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Dr. Graham Taylor,Spring/Summer 2024 (April - July),,Mr.,N/A,"Computer vision, Generative modeling, Self-supervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),MASc. Computer Engineering,"Financial Services, Health, Professional Services (e.g Consulting), Software","Full Time, Internship, Co-op, Contract","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Guelph,True,True,True,True -1071c021-f7d1-46fb-b20f-b8917f90ddf4,mingliang.tang@mail.utoronto.ca,Mingliang,Tang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,4169396212,,https://mtpersonal.github.io/personalsite/,,,,False,False,https://canadaai.jobboard.io/api/v1/profiles/1071c021-f7d1-46fb-b20f-b8917f90ddf4/resume,Toronto,Ontario,,Canada,,2020-09-04T14:57:47.789Z,2023-06-30T22:45:37.091Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/mingliang-tang-263282107/,"Computer vision, Deep learning, Generative modeling, Machine learning, Reinforcement learning, Robotics, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Civil and Mineral Engineering,"Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,False,True,True +b3f139e8-ada4-46f1-b10c-8fc79125f646,weizheng.zhang@mail.utoronto.ca,Weizheng,Zhang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,PhD Student,,6133069966,,https://www.statistics.utoronto.ca/people/directories/graduate-students/weizheng-zhang,,,,True,False,,Toronto,Ontario,,Canada,,2022-08-16T04:52:10.546Z,2023-06-06T11:54:46.242Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Daniel Roy,Spring/Summer 2024 (April - July),,Mr.,None,"Online learning, Reinforcement learning, Statistical learning theory",Postgraduate Degree (PhD),Mid-Level (3-5 Years),PhD in Statistical Sciences,Type of Work is More Important to me than Sector,"Full Time, Internship",Machine Learning Researcher/Scientist ,University of Toronto,True,True,True,True +f96f7ddf-16f3-4d07-b7ed-32d8386e028a,crystal_fang0707@hotmail.com,Zhilin,Fang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/crystal-zhilin-fang-frm-378241114/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f96f7ddf-16f3-4d07-b7ed-32d8386e028a/resume,,,,,,2023-06-06T01:04:49.438Z,2023-06-06T01:04:49.473Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Already Graduated,,Miss.,https://www.linkedin.com/in/crystal-zhilin-fang-frm-378241114/,"Data science, Machine learning, Time-series forecasting and modelling",Graduate Degree (Masters),Mid-Level (3-5 Years),MMA,"Financial Services, Technology (Information and Media), Technology (Product Development)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst",Queen's University,True,True,True,True +1071c021-f7d1-46fb-b20f-b8917f90ddf4,mingliang.tang@mail.utoronto.ca,Mingliang,Tang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,4169396212,,https://mtpersonal.github.io/personalsite/,,,,False,False,https://canadaai.jobboard.io/api/v1/profiles/1071c021-f7d1-46fb-b20f-b8917f90ddf4/resume,Toronto,Ontario,,Canada,,2020-09-04T14:57:47.789Z,2023-07-05T18:47:09.013Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/mingliang-tang-263282107/,"Computer vision, Deep learning, Generative modeling, Machine learning, Reinforcement learning, Robotics, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Civil and Mineral Engineering,"Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,False,True,True +f74a26c1-8010-4fa8-9c1a-9a278d9517a3,artin.majd76@gmail.com,Artin,Majd,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,AI Master Student at Toronto Metropolitan University,+14372659091,,,,https://www.linkedin.com/in/artin-majd/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f74a26c1-8010-4fa8-9c1a-9a278d9517a3/resume,Toronto,Ontario,,Canada,,2022-09-09T13:00:02.217Z,2023-01-07T21:23:11.906Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2024 (April - July),,Mr.,http://linkedin.com/in/artin-majd,"Computer vision, Data science, Deep learning, Generative modeling, Machine learning, Natural language processing, Recommender systems, Reinforcement learning, Self-supervised learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),"M.Eng Electrical and Computer Engineering, AI Concentration",Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Product/Project Manager",Ryerson University,True,True,True,True +7c3d6746-0cb6-461b-ab92-ac65b91c5025,efuabruce@gmail.com,Eugenia,Bruce,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-07-17T23:43:55.774Z,2023-07-17T23:43:55.837Z,False,False,,,Studying in/Graduated from a Recognized Master's Program,Smith Business School,Spring/Summer 2024 (April - July),,Ms.,,"Data science, Optimization",Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Management Analytics,"Financial Services, Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst",Queen's University,True,True,True,True 0e278ee6-96ac-471a-ab65-6f9c41e37c41,mail.devashree@gmail.com,Devashree,Kumar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-08-13T19:40:03.913Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/devashree-kumar/,,,,,,,,,,,, d55497de-ad4b-4cc1-a811-0d75bfbc12d3,zhuoyang.lyu@mail.mcgill.ca,Zhuoyang,Lyu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-08-13T19:40:05.009Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/zhuoyang-cici-lyu-8b7b26177,,,,,,,,,,,, ef65b1dd-14bc-40cf-8138-b4e0cd20c709,yeahkevin.pang@mail.utoronto.ca,Kevin,Pang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-08-13T19:40:12.428Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/,,,,,,,,,,,, @@ -5092,8 +5148,6 @@ b275f787-aa73-46d2-a69d-5e6dd7bb8356,ali.ae.ah@outlook.com,Ali,Ahmed,https://tal d0f94890-503e-4875-8bdb-63c3d6402f91,tianranliu20@gmail.com,Tianran,Liu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-06-14T13:55:54.839Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/%E5%A4%A9%E7%84%B6-%E5%88%98-0311011a5/,,,,,,,,,,,, 6c3ae8fb-8f4e-4a9f-832d-71f354c49d90,abamgboyesuji@gmail.com,Ayodeji,Bamgboye,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-12-06T18:14:10.259Z,2022-12-06T18:14:10.305Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Smith Business School,Winter 2024 (December 2023 - March 2024),,Ms.,N/A,"AI safety, Bioinformatics, Data science",Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Management Analytics,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True f330095a-24db-4654-8cfa-d63b1f10a1fd,omarfarshadjee@gmail.com,Omar Farshad,Jeelani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-06-02T13:19:18.683Z,2022-12-16T09:59:39.456Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/omar-jeelani-88b2b61a3/,"Data science, Machine learning, Online learning, Self-supervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),MITS,"Education, Technology (Information and Media), Technology (Product Development)",Internship,"Machine Learning Researcher/Scientist , Other ",OntarioTech University,True,True,True,True -6b25fcdf-198f-4545-aaf6-b815d45c804c,esmat.sahak@mail.utoronto.ca,Esmat,Sahak,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Student Researcher,"I am a fourth year Engineering Science student at University of Toronto majoring in Machine Intelligence. I am interested in machine learning research, particularly natural language processing, and applying such methods to investigate and devise solutions to pressing social issues. I have experience in software development roles at Amazon, Oracle, Cognitive Systems, and RBC. I have been a student researcher at various University of Toronto labs as well as Vector Institute. After completing my undergraduate degree, I hope to complete a thesis-based masters in computer science.",4166961590,,,,https://www.linkedin.com/in/esmat-sahak-777293181/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/6b25fcdf-198f-4545-aaf6-b815d45c804c/resume,Toronto,Ontario,,Canada,,2022-10-01T03:28:02.906Z,2022-12-16T17:42:17.303Z,True,True,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Frank Rudzicz,Spring/Summer 2023 (April - July),I am an undergraduate student researcher at Professor Frank Rudzicz's lab.,Mr.,https://www.linkedin.com/in/esmat-sahak-777293181/,"Fairness, Machine learning, Natural language processing",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Engineering Science,Type of Work is More Important to me than Sector,"Internship, Co-op","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -8794064b-b54f-483f-b9a8-6483eec1675d,mkass005@uottawa.ca,Mohammed Awal,Kassim,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,+13435586219,,,,https://www.linkedin.com/in/awal-kassim/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/8794064b-b54f-483f-b9a8-6483eec1675d/resume,Ottawa,Ontario,,Canada,,2022-09-29T00:26:46.276Z,2022-12-07T15:22:00.560Z,True,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Spring/Summer 2024 (April - July),,Mr.,https://www.linkedin.com/in/mohammed-awal-kassim-96b23b194/,"Computer vision, Deep learning, Generative modeling, Natural language processing, Transfer learning",Graduate Degree (Masters),Entry Level (0-2 Years),Msc Computer Science: Applied AI,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship","Data Analyst, Data Architect, Data Engineer, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Ottawa,True,True,True,True 3638d0e4-70c7-45de-999b-62d9e27e6189,mohamed.hibat.allah@uwaterloo.ca,Mohamed,Hibat Allah,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,PhD Candidate,Mohamed is a Ph.D. student at the University of Waterloo and the Vector Institute for Artificial Intelligence. He is working under the supervision of Vector Faculty Member Juan Carrasquilla. His research interest lies at the intersection of Quantum Physics and Natural Language Processing. He graduated with a Master’s degree in Theoretical Physics from Perimeter Institute and University of Waterloo. He also received a Bachelor in Physics from the Ecole Normale Supérieure de Lyon in France. ,2269781975,,,,,,False,False,https://canadaai.jobboard.io/api/v1/profiles/3638d0e4-70c7-45de-999b-62d9e27e6189/resume,,,,,,2023-01-18T19:49:25.562Z,2023-01-23T22:11:29.422Z,True,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Juan Carrasquilla,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/mohamed-hibat-allah/?originalSubdomain=ca,"Machine learning, Physics, Quantum computing",Postgraduate Degree (PhD),Senior Level (5+ Years),Physics,Education,Contract,Other ,University of Waterloo,True,True,True,True bebc7b69-8667-4922-a5ab-9df29a013d04,somayeh.amini@mail.utoronto.ca,Somayeh,Amini,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-01-18T19:03:00.359Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/somayeh-amini-7759754a/,,,,,,,,,,,, 632d6e07-56df-41a8-83d5-dcb2eb1fc535,griffin.floto@mail.utoronto.ca,Griffin,Floto,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-01-18T19:02:58.153Z,,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/griffin-floto-381504115/,,,,,,,,,,,, @@ -5121,71 +5175,16 @@ fc10063d-2f17-4305-bae9-3c24e8950329,mary.ebrahimi@mail.utoronto.ca,Maryam,Ebrah ecb475b1-5ce9-4920-90d6-c76309402c95,mohsenkasiri181373@gmail.com,Mohsen,Kasiri,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-09-10T17:43:00.649Z,2023-03-14T03:27:38.589Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/mohsen-kasiri-090a699b/,,,,,,,,,True,True,True,True 9e4fa688-f196-4084-a30c-073503070a7c,mayank.anand@dal.ca,Mayank,Anand,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Experienced Developer,"Experienced software professional with a demonstrated history of working in the capital markets domain with Virtusa for BMO Capital Markets. Skilled in C#, WPF, UWP, WCF, Python, PyTorch, GCP, SQL, Tableau and other ML technologies. Master of Computer Science grad concentrating on NLP from Dalhousie University with a Bachelor of Technology (B.Tech.) focused in Computer Science from Chandigarh Engineering College, Mohali, India.",7828822842,,,,https://www.linkedin.com/in/mayank-anand-6580209a,,False,False,https://canadaai.jobboard.io/api/v1/profiles/9e4fa688-f196-4084-a30c-073503070a7c/resume,,,,,,2023-03-31T15:41:41.686Z,2023-04-03T18:28:28.636Z,True,True,,,Studying in/Graduated from a Recognized Master's Program,NS,Spring/Summer 2023 (April - July),,Mr.,,"Adversarial learning, Data science, Deep learning, Machine learning, Natural language processing, Optimization, Time-series forecasting and modelling, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Computer Science,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Product Development)","Full Time, Capstone Project","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,True,True,True 337bf7e4-307d-4195-9c0a-4f562fb693c1,matthewbraho@gmail.com,Matthew,Braho,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-02-21T04:31:50.684Z,2023-02-21T04:31:50.723Z,False,False,Not Affiliated with Vector,No,Unsure,,Other/Undetermined,"II am currently a first year Student at the University of Toronto, studying Engineering Science and did not match with the other given descriptions.",Mr.,N/A,"Data science, Machine learning, Robotics",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Engineering Science,"Financial Services, Software, Technology (Product Development)",Internship,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True -527b24e7-179a-474b-bd5d-68e3323b7a50,spate696@uwo.ca,Saad,Patel,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Computer Science Graduate Student at Western University,,(647) 470-9486,,,,https://www.linkedin.com/in/saad-patel/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/527b24e7-179a-474b-bd5d-68e3323b7a50/resume,Toronto,Ontario,,Canada,,2021-09-10T17:42:59.985Z,2023-02-12T23:03:59.419Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/saad-patel,"AI safety, Computer vision, Data science, Deep learning, Generative modeling, Machine learning, Reinforcement learning, Representation learning, Self-supervised learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Western University,True,True,True,True 6f74d526-2b4d-4515-b870-378222552c7f,michaelsingh0008@gmail.com,Michaeljeet,Singh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/michaeljeet-singh-b53b34245/,,True,False,,,,,,linkedin,2023-03-27T16:27:09.751Z,2023-03-27T16:27:09.776Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/michaeljeet-singh-b53b34245/,,,,,,,,,True,False,True,True 072b0332-f995-4d76-aeb3-da7270c74a26,sagniksom99@gmail.com,Sagnik,Som,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/sagnik-som-950780178/,,False,False,,,,,,linkedin,2023-03-27T18:18:28.178Z,2023-03-27T18:18:28.196Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/sagnik-som-950780178/,,,,,,,,,True,False,True,True bdae40d7-d932-43d4-a2ee-9bc08efb16ef,zohasfr97@gmail.com,Zoha,Safarian,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-05-19T15:51:39.068Z,2023-05-19T15:51:39.131Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mrs.,N/A,"Data science, Deep learning, Machine learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Electrical and Computer Egineering/ Information system Engineering,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Type of Work is More Important to me than Sector",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True 7b6f7dea-26b1-44c4-a80f-6ff3932a2b0b,pi.bee1@yahoo.com,Pelumioluwa,Abiola,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/pelumioluwa-abiola-a136bbab/,,True,False,,,,,,,2021-09-19T20:18:01.182Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/pelumioluwa-abiola-a136bbab/,,,,,,,,,,,, 7aec660c-a515-400f-bdbb-de856010ba07,khanna.shreya1999@gmail.com,Shreya,Khanna,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/shreya-khanna-b71746192/,,True,False,,,,,,,2023-05-24T17:14:47.129Z,,False,False,Vector Scholarship Nominee,Yes,,,,,,https://www.linkedin.com/in/shreya-khanna-b71746192/,,,,,,,,,,,, -a6e301bc-41e8-4332-bc79-6a0324ba6822,xmootoo@gmail.com,Xavier,Mootoo,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,MSc in Computer Science Student,,6472939586,,,,https://www.linkedin.com/in/xavier-mootoo-9516b2175/,,True,False,,Toronto,Ontario,,Canada,,2023-05-24T16:47:00.137Z,2023-05-24T20:16:16.254Z,True,True,Connected to Vector Research,Yes,Vector Scholarship Recipient,,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/xavier-mootoo-9516b2175/,"Deep learning, Quantum computing, Self-supervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),1,,"Full Time, Internship, Contract","Machine Learning Engineer, Machine Learning Researcher/Scientist ",York University,True,True,True,True -f4d01ba9-a7d6-4104-938a-2305ad260158,y.shahrasbi@gmail.com,Yasaman,Shahrasbi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/yaciish/,,True,False,,,,,,,2023-05-24T17:06:28.540Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/yaciish/,,,,,,,,,,,, -7c1f6256-57b5-4e73-ad85-d579b0250006,21as171@queensu.ca,Atindra,Sapkota,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/atindrasapkota/,,True,False,,,,,,,2021-12-22T19:56:27.591Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/atindrasapkota/,,,,,,,,,,,, -5ef366db-e96f-4fa5-a112-96936231b939,cguo48uwo@gmail.com,Cheng,Guo,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/chelsea-guo/,,True,False,,,,,,,2023-05-24T17:06:28.141Z,,False,False,Other Vector Programming,Yes,,,,,,https://www.linkedin.com/in/chelsea-guo/,,,,,,,,,,,, -999e9834-77ff-40cf-a0cc-7b536d5f2dd4,paulsg@yorku.ca,Paul,Shin-Gay,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/paulshin-gay/,,True,False,,,,,,,2022-09-20T15:14:07.410Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/paulshin-gay/,,,,,,,,,,,, -c507fd96-1298-4653-a734-6bfc848e9b5b,94singh.daksh@gmail.com,Dakshdeep,Singh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Scientist,"I am a recent graduate with a Master’s in Statistics currently working as a data scientist. During my co-op and current job, I have gained ample experience in working with Microsoft Azure and Power BI to build dashboards and automate scripts by creating pipelines. Most recently I have built a dashboard for the ad hoc analysis of the Business Survey conducted by Statistics Canada to give insights to various businesses based on their needs and specifications of the Businesses. Along with that and given my interest and experience in Text analysis and Natural Language Processing in building various models, like classification and trend analysis on IP filings data to identify emerging sectors, I believe I can be an asset in the job responsibilities listed for the Support Engineer, Power BI.",,,,,https://www.linkedin.com/in/dakshdeepsingh,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c507fd96-1298-4653-a734-6bfc848e9b5b/resume,,,,,,2022-08-08T22:49:21.036Z,2022-08-08T22:49:21.077Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/dakshdeepsingh/,"Deep learning, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Statistics,Type of Work is More Important to me than Sector,Full Time,Data Scientist,Carleton University,True,True,True,True -0d7c18e9-ef54-4735-9810-d345b4798041,aliraamish@gmail.com,ALI,RAAMISH,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,9052431300,,,,https://www.linkedin.com/in/ali-raamish/,,True,False,,Oshawa,Ontario,,Canada,,2022-08-11T17:59:17.007Z,2022-08-14T23:55:12.045Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario Tech University,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/ali-raamish/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of IT Security - Artificial Intelligence,,"Full Time, Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",OntarioTech University,True,False,True,True -d010c880-b7d6-4ca0-8019-98ccb0504e09,llhm.soleimani@gmail.com,Elham,Soleimani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-06-23T16:46:07.142Z,2022-06-23T16:46:07.180Z,False,False,Vector Scholarship Recipient,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Mrs.,N/A,"AI safety, Data science, Privacy, anonymity, and/or security",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Science,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Capstone Project","Data Analyst, Data Scientist",University of Guelph,True,True,True,True -a6e301bc-41e8-4332-bc79-6a0324ba6822,xmootoo@gmail.com,Xavier,Mootoo,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,MSc in Computer Science Student,,6472939586,,,,https://www.linkedin.com/in/xavier-mootoo-9516b2175/,,True,False,,Toronto,Ontario,,Canada,,2023-05-24T16:47:00.137Z,2023-05-24T20:16:16.254Z,True,True,Connected to Vector Research,Yes,Vector Scholarship Recipient,,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/xavier-mootoo-9516b2175/,"Deep learning, Quantum computing, Self-supervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),1,,"Full Time, Internship, Contract","Machine Learning Engineer, Machine Learning Researcher/Scientist ",York University,True,True,True,True -f4d01ba9-a7d6-4104-938a-2305ad260158,y.shahrasbi@gmail.com,Yasaman,Shahrasbi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/yaciish/,,True,False,,,,,,,2023-05-24T17:06:28.540Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/yaciish/,,,,,,,,,,,, -4d49fc70-d64c-4cfd-b6c8-36ebe026af66,rkurdyak@gmail.com,Robert,Kurdyak,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-05-12T14:22:40.329Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/robert-kurdyak/,,,,,,,,,,,, -056fc664-c6a8-4fac-9485-f4449258c9d0,sowmidevaraj06@gmail.com,Sowmiya,Devaraj,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-01-18T19:03:00.465Z,2023-05-17T15:19:50.227Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/sowmiya-devaraj-168b77b2/,,,,,,,,,True,,True,True -2e70e3cc-bf26-43af-96cf-0c055ff0630e,pretom.ghosh@torontomu.ca,Pretom,Ghosh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Analyst,"HIGHLIGHTS OF SKILL SUMMARY: - -• Working experience in data analytics and project management for 10 years. -• A cohesive team worker with strong analytical, troubleshooting, problem-solving, and interpersonal skills. -• Extensive experience working with diverse teams. -• A certified SCRUM Master and PMP certified professional. -• Working experience of sales data analysis. -• Proven Hands-on experience with Python and SQL. -• Spreadsheet programming skill using Excel -• Dashboarding and advanced visualization skills using Tableau, Power BI and Python. -• Experience with machine learning, deep learning, hyperparameter tuning, image processing, and NLP frameworks. -• Extensive experience with deep learning applications like image reconstructions, multivariate time series forecasting, financial performance analysis, and sports analytics. -• Proven skills of data ETL, warehousing and algorithm skills. - -SKILLS: - -TECH STACK: -• Platforms: Anaconda, VS Code, Spyder, Google Colab. -• Programming Languages: Python, SQL -• Spreadsheet program: Excel -• Data Visualization: Microsoft Power BI, Tableau. -• Big Data tools: Apache Spark, Hadoop, Hive -• Library and Frameworks: Numpy, Scipy, Pandas, Matplotlib, Plotly, TensorFlow, Scikit-Learn, Keras, PyTorch. -• Natural Language Processing Frameworks: NLTK, Hugging Face, Open AI. -• Database: PostgreSQL. -• Source Code Management: GitHub -• Others: G Suite, Microsoft Teams, Zoom, VooV. - -MANAGEMENT STACK: -• Project Management: Agile, SCRUM - -HUMAN SKILLS: -• Good communication skill -• Good problem-solving skill -• Strong leadership skill -• Stakeholder relationship management skill -",6476738027,,,,https://www.linkedin.com/in/Pretom-Ghosh,,False,False,https://canadaai.jobboard.io/api/v1/profiles/2e70e3cc-bf26-43af-96cf-0c055ff0630e/resume,,Ontario,,Canada,,2022-09-09T12:59:59.920Z,2023-04-27T01:23:48.381Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/engr-pretom,"Data science, Deep learning, Generative modeling, Healthcare and/or medical imaging, Machine learning, Time-series forecasting and modelling, Transfer learning",Graduate Degree (Masters),Senior Level (5+ Years),MSc in Data Science and Analytics,"Financial Services, Health, Professional Services (e.g Consulting), Retail, Telecommunications","Full Time, Contract","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Ryerson University,True,True,True,True -b5a43003-75d0-4ede-80f1-907b4cc374d7,shreyamehta2807@gmail.com,Shreya,Mehta,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/shreyamehta6/,,True,False,,,,,,linkedin,2023-04-17T22:27:10.172Z,2023-04-17T22:27:10.214Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/shreyamehta6/,,,,,,,,,True,True,True,True -cf0fce51-d85f-4bf4-8a4e-520ce6055788,adrienne.vonlilienfeld@gmail.com,Adrienne,von Lilienfeld,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Construction Specialist Embracing ML & Data Science,"Dynamic Construction Expert with over 15 years of experience, excelling at streamlining processes and fostering collaboration through seamless ""translation"" of stakeholder needs across various disciplines and languages (English, German, French, Spanish). Proficient in connecting engineers, site personnel, administrative staff, lawyers, executives as well as clients while employing strong analytical skills to address both intricate details and broader objectives. Committed to embracing Data Science, AI, Machine Learning, Python, GPT to further enhance capabilities and drive transformative change.",+1 437 286 9937,,,,https://www.linkedin.com/in/adriennevL,,True,False,https://canadaai.jobboard.io/api/v1/profiles/cf0fce51-d85f-4bf4-8a4e-520ce6055788/resume,Toronto,Ontario,,Canada,,2023-04-12T19:05:08.024Z,2023-04-16T01:56:00.571Z,True,False,Other Vector Programming,Yes,Other Vector Programming,,Already Graduated,"Caregivers and Machine Learning, Excel to AI",Mrs.,N/A,"Interpretability, Machine learning, Optimization, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Senior Level (5+ Years),Civil Engineering and Management,"Construction or Infrastructure, Education, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Product Development), Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Other ",Other,True,True,True,True -7b780bbd-1ccc-485f-bcf1-27618339dc9b,hosseing@ualberta.ca,ali,gharari,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Machine Learning engineer,,7802032206,,,,https://www.linkedin.com/in/ali-gharari-a61a6a107/,,False,False,,,,,,linkedin,2023-06-05T19:05:56.318Z,2023-06-05T19:17:39.015Z,True,True,Connected to Vector Research,Yes,Other Vector Programming,Rahul G. Krishnan,Already Graduated,Research Intern,Mr.,https://www.linkedin.com/in/ali-gharari-a61a6a107/,"Generative modeling, Recommender systems, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),Computer science,"Financial Services, Health, Software, Technology (Information and Media)","Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,True,True,True -748e9cd3-f31a-4cd7-9300-ea739eebb499,mahsamassoud@gmail.com,Mahsa,Massoud,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,4379700124,,,,,,True,False,,,,,Canada,,2022-06-22T07:30:21.789Z,2023-06-05T19:34:05.062Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Fall 2024 (August - November),,Miss.,https://www.linkedin.com/in/mahsa-massoud-a56948194/,"Computer vision, Data science, Deep learning, Healthcare and/or medical imaging, Machine learning, Natural language processing, Time-series forecasting and modelling, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Financial Services, Health, Professional Services (e.g Consulting), Technology (Information and Media), Transportation","Full Time, Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",York University,True,True,True,True -bdae40d7-d932-43d4-a2ee-9bc08efb16ef,zohasfr97@gmail.com,Zoha,Safarian,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-05-19T15:51:39.068Z,2023-05-19T15:51:39.131Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mrs.,N/A,"Data science, Deep learning, Machine learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Electrical and Computer Egineering/ Information system Engineering,"Financial Services, Professional Services (e.g Consulting), Software, Technology (Information and Media), Type of Work is More Important to me than Sector",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True -66b5edf0-0b07-4c27-b9da-e5d23b50ec72,soham.tiwari800@gmail.com,Soham,Tiwari,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/soham-tiwari/,,True,False,,,,,,,2023-05-24T17:06:28.723Z,,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/farnoosh-azour-72078a125/,,,,,,,,,,,, -6d80a641-4f6a-4d66-8f2f-f7beaa65c13d,richard.gerum@protonmail.com,Richard,Gerum,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/richard-gerum-77bb3987/,,True,False,,,,,,,2023-05-24T17:06:28.429Z,,False,False,Other Vector Programming,Yes,,,,,,https://www.linkedin.com/in/cansu-ekmekcioglu/,,,,,,,,,,,, -4c2b4b49-51e0-484c-bd4e-50a843521843,najmamosman@gmail.com,Najma,Osman,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6476485875,,,,https://www.linkedin.com/in/najmamosman/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/4c2b4b49-51e0-484c-bd4e-50a843521843/resume,Toronto,Ontario,,Canada,,2023-05-24T18:08:37.043Z,2023-05-24T18:08:37.110Z,True,True,Other Vector Programming,Yes,Other Vector Programming,,Already Graduated,"Only association with the Vector Institute is through employment at a platinum sponsor company - TD Bank. Have attended a forecasting bootcamp, and the first iteration of the causal inference lab. Also have done presentations for 2 cohorts of the course Introduction to Machine Learning for Black & Indigenous students (March and November 2022)..",Miss.,https://www.linkedin.com/in/najmamosman/,"Machine learning, Optimization, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),"IInformation Systems + Systems Design, Master of Information",Type of Work is More Important to me than Sector,Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,False,True,True -b9403bce-84da-4a23-b739-550db159be50,nonso.onyia@queensu.ca,Nonso,Onyia,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Deep Learning Engineer,"I am a final year graduate student of Artificial Intelligence at the Smith School of Business at Queen’s University who is interested in translating business problem into ML/mathematical problems by extracting & processing data into meaningful -insights that can help improve business and product performance by leveraging AI & analytical best practices.",(437) 331-1906,,https://github.com/fabnonsoo,,http://www.linkedin.com/in/nonsoo,,True,False,,Toronto,Ontario,,Canada,,2021-12-22T19:56:11.676Z,2023-05-23T22:43:56.809Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,"Master of Management in Artificial Intelligence (Smith School of Business, Queen's University)",Already Graduated,,Mr.,http://www.linkedin.com/in/nonsoo,"AI safety, Anomaly detection, Computer vision, Data science, Deep learning, Healthcare and/or medical imaging, Interpretability, Law, ethics and policy, Machine learning, Natural language processing, Optimization, Privacy, anonymity, and/or security, Quantum computing, Recommender systems, Reinforcement learning, Robotics, Transfer learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Artificial Intelligence,"Construction or Infrastructure, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Contract, Capstone Project","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Queen's University,True,True,True,True +a6e301bc-41e8-4332-bc79-6a0324ba6822,xmootoo@gmail.com,Xavier,Mootoo,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,MSc in Computer Science Student,,6472939586,,,,https://www.linkedin.com/in/xavier-mootoo-9516b2175/,,True,False,,Toronto,Ontario,,Canada,,2023-05-24T16:47:00.137Z,2023-05-24T20:16:16.254Z,True,True,Connected to Vector Research,Yes,Vector Scholarship Recipient,,Winter 2025 (December 2024 - March 2025),,Mr.,https://www.linkedin.com/in/xavier-mootoo-9516b2175/,"Deep learning, Quantum computing, Self-supervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),1,,"Full Time, Internship, Contract","Machine Learning Engineer, Machine Learning Researcher/Scientist ",York University,True,True,True,True +f4d01ba9-a7d6-4104-938a-2305ad260158,y.shahrasbi@gmail.com,Yasaman,Shahrasbi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/yaciish/,,True,False,,,,,,,2023-05-24T17:06:28.540Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/yaciish/,,,,,,,,,,,, +7c1f6256-57b5-4e73-ad85-d579b0250006,21as171@queensu.ca,Atindra,Sapkota,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/atindrasapkota/,,True,False,,,,,,,2021-12-22T19:56:27.591Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/atindrasapkota/,,,,,,,,,,,, +5ef366db-e96f-4fa5-a112-96936231b939,cguo48uwo@gmail.com,Cheng,Guo,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/chelsea-guo/,,True,False,,,,,,,2023-05-24T17:06:28.141Z,,False,False,Other Vector Programming,Yes,,,,,,https://www.linkedin.com/in/chelsea-guo/,,,,,,,,,,,, +999e9834-77ff-40cf-a0cc-7b536d5f2dd4,paulsg@yorku.ca,Paul,Shin-Gay,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/paulshin-gay/,,True,False,,,,,,,2022-09-20T15:14:07.410Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/paulshin-gay/,,,,,,,,,,,, c507fd96-1298-4653-a734-6bfc848e9b5b,94singh.daksh@gmail.com,Dakshdeep,Singh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Scientist,"I am a recent graduate with a Master’s in Statistics currently working as a data scientist. During my co-op and current job, I have gained ample experience in working with Microsoft Azure and Power BI to build dashboards and automate scripts by creating pipelines. Most recently I have built a dashboard for the ad hoc analysis of the Business Survey conducted by Statistics Canada to give insights to various businesses based on their needs and specifications of the Businesses. Along with that and given my interest and experience in Text analysis and Natural Language Processing in building various models, like classification and trend analysis on IP filings data to identify emerging sectors, I believe I can be an asset in the job responsibilities listed for the Support Engineer, Power BI.",,,,,https://www.linkedin.com/in/dakshdeepsingh,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c507fd96-1298-4653-a734-6bfc848e9b5b/resume,,,,,,2022-08-08T22:49:21.036Z,2022-08-08T22:49:21.077Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/dakshdeepsingh/,"Deep learning, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Statistics,Type of Work is More Important to me than Sector,Full Time,Data Scientist,Carleton University,True,True,True,True 0d7c18e9-ef54-4735-9810-d345b4798041,aliraamish@gmail.com,ALI,RAAMISH,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,9052431300,,,,https://www.linkedin.com/in/ali-raamish/,,True,False,,Oshawa,Ontario,,Canada,,2022-08-11T17:59:17.007Z,2022-08-14T23:55:12.045Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario Tech University,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/ali-raamish/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of IT Security - Artificial Intelligence,,"Full Time, Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",OntarioTech University,True,False,True,True d010c880-b7d6-4ca0-8019-98ccb0504e09,llhm.soleimani@gmail.com,Elham,Soleimani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-06-23T16:46:07.142Z,2022-06-23T16:46:07.180Z,False,False,Vector Scholarship Recipient,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Mrs.,N/A,"AI safety, Data science, Privacy, anonymity, and/or security",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Science,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Capstone Project","Data Analyst, Data Scientist",University of Guelph,True,True,True,True @@ -5197,15 +5196,13 @@ His recent research focuses on analyzing multi-omics data for early diagnosis an db9291b4-fcef-4565-a281-bba0d8c79c9f,rlede046@uottawa.ca,Rodrigo,Ledesma,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Machine Learning Engineer,"I am a Mexican student, currently studying for a Master's degree in Computer Science and AI. I have worked for 3 years in the technology area of Citi Bank as Data Scientist, Robotic Process Automation engineer, and Machine Learning engineer. Currently, my research and projects focus on Regression models using NLP for Story Points Estimation using transformer-based architectures. Image-to-image translation and image augmentation using GANs. And Online Learning. ",6134085235,,https://rledesmaitesm.wixsite.com/portfolio,,https://www.linkedin.com/in/rodrigocledesmag,,True,False,https://canadaai.jobboard.io/api/v1/profiles/db9291b4-fcef-4565-a281-bba0d8c79c9f/resume,Ottawa,Ontario,,Canada,,2022-11-20T21:35:39.537Z,2022-11-20T21:35:39.593Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/rodrigocledesmag,"Adversarial learning, Natural language processing, Online learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science with concentration in Artificial Intelligence,Type of Work is More Important to me than Sector,"Full Time, Internship","Data Analyst, Data Scientist, Machine Learning Engineer",University of Ottawa,True,True,True,True ae0b6184-2a27-4191-92b9-6a458bc87eef,zaidis36@mcmaster.ca,Ali,Zaidi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Machine Learning Graduate Student,"I'm an experienced Software Engineer in JS technologies & now transitioning my stack to ML. I'm pursuing a Master's degree at W Booth School of Engineering McMaster University (Canada) in System & Technology which is an AI-based hybrid program w/ heuristic learning techniques, game theory, multi-agent systems, reinforcement learning, distributed learning etc. I have experience in image processing for natural language processing tasks.",9059213972,,,,https://www.linkedin.com/in/ali-zaidi-712450b7/,,True,False,,Hamilton,Ontario,,Canada,,2021-12-22T19:56:56.114Z,2022-08-30T00:04:32.628Z,False,False,Recognized Masters Program,Yes,,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/ali-zaidi-712450b7/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Systems & Technology,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract, Capstone Project","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",McMaster University,True,True,True,True 1f594293-bab0-47e0-acb8-20ba984830d3,paomayin@yahoo.com,Paul,Okomayin,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,4372581605,,,,,,True,False,,,,,Canada,,2022-11-22T18:59:02.258Z,2022-11-23T06:13:04.256Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Mr.,N/A,"Optimization, Statistical learning theory, Time-series forecasting and modelling, Transfer learning",Graduate Degree (Masters),Senior Level (5+ Years),Master of Financial Innovation and Technology,"Financial Services, Professional Services (e.g Consulting), Technology (Product Development)","Full Time, Internship, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Product/Project Manager",Queen's University,True,True,True,True -b2bec1d1-9e2f-4a75-bdd7-532ee8cb695c,vinoth15@gmail.com,vinoth,sabanadesan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b2bec1d1-9e2f-4a75-bdd7-532ee8cb695c/resume,,,,,,2022-11-17T01:52:19.017Z,2022-11-17T01:52:19.077Z,False,False,Not Affiliated with Vector,No,Unsure,,Already Graduated,Bachelor,Mr.,https://www.linkedin.com/in/vinoth-sabanadesan/,"Data science, Machine learning, Robotics",Undergraduate Degree (Bachelors),Senior Level (5+ Years),Computer Science,Software,"Full Time, Internship, Contract",Software Engineer,Other,True,False,True,True 36f24fa6-8b91-4113-9d17-a2dc2e48b62f,helenlhm@schulich.yorku.ca,Helen,Lee,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,4372276824,,,,https://www.linkedin.com/in/helenleehm/,,True,False,,Toronto,Ontario,,Canada,,2022-09-20T15:14:59.992Z,2022-09-22T02:10:23.706Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Spring/Summer 2023 (April - July),,Ms.,https://www.linkedin.com/in/helenleehm/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Masters of Business Analytics,,"Full Time, Contract","Business Analyst/Business Intelligence Analyst , Product/Project Manager",York University,True,False,True,True -30370a48-ce16-495d-9811-dfb14cfebfaa,ctser@cs.toronto.edu,Cher-Tian,Ser,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-11-29T19:18:19.115Z,2022-11-29T19:18:19.158Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Alan Aspuru-Guzik,Other/Undetermined,,Mr.,N/A,"Interpretability, Machine learning, Physics",Postgraduate Degree (PhD),Entry Level (0-2 Years),PhD (Direct Entry),,"Full Time, Internship","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -02d07292-996a-4e36-8000-9506c182b01c,amalakhova70@gmail.com,Anna,Malakhova,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-09T12:59:59.412Z,2022-10-28T20:33:20.765Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/anna-malakhova-58008913b/,,,,,,,,,True,False,True,True +b2bec1d1-9e2f-4a75-bdd7-532ee8cb695c,vinoth15@gmail.com,vinoth,sabanadesan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b2bec1d1-9e2f-4a75-bdd7-532ee8cb695c/resume,,,,,,2022-11-17T01:52:19.017Z,2022-11-17T01:52:19.077Z,False,False,Not Affiliated with Vector,No,Unsure,,Already Graduated,Bachelor,Mr.,https://www.linkedin.com/in/vinoth-sabanadesan/,"Data science, Machine learning, Robotics",Undergraduate Degree (Bachelors),Senior Level (5+ Years),Computer Science,Software,"Full Time, Internship, Contract",Software Engineer,Other,True,False,True,True 1a2eb475-9982-477a-aab5-4fa6bfedc90f,15kls3@queensu.ca,Katy,Scott,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-06-29T13:57:11.508Z,2022-09-20T03:49:13.128Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Miss.,https://www.linkedin.com/in/katy-scott-332465157/,,Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,Health,"Full Time, Co-op",,Queen's University,True,False,True,True -acd82517-2199-4e37-965e-63547ce148d4,muritala550@gmail.com,Muritala,Raheem,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-21T20:23:38.074Z,2022-09-22T14:02:20.175Z,False,False,Vector Scholarship Recipient,Yes,,,,,,N/A,,,,,,,,,True,True,True,True -4c09ac2c-9f78-4a14-8e43-a390fd7da6b9,khalid277144@gmail.com,Khalid,Saifullah,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-02-09T17:46:58.986Z,2022-08-30T23:03:23.209Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/md-khalid-saif/,,,,,,,,,True,False,True,True 67a7b50c-1f30-41f0-ac28-0c4f1cb524cc,mwstuck99@gmail.com,Michael,Stuck,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-09T12:59:55.028Z,2022-09-22T12:13:18.837Z,False,False,Vector Scholarship Recipient,Yes,,,,,,https://www.linkedin.com/in/michael-stuck-8b5898158,,,,,,,,,True,False,True,True -7e3e0458-16db-4459-a736-693a60013ce0,hsiaotsan.li@mail.utoronto.ca,Xiaocan,Li,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/7e3e0458-16db-4459-a736-693a60013ce0/resume,,,,,,2020-10-16T06:12:02.105Z,2020-10-16T13:56:07.977Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Student or Postdoc of a Vector Faculty Member,Scott Sanner,Other/Undetermined,,Mr.,N/A,,Postgraduate Degree (PhD),Entry Level (0-2 Years),Mechanical and Industrial Engineering,"Education, Software, Technology (Information and Media)","Full Time, Internship",,University of Toronto,True,True,True,True +02d07292-996a-4e36-8000-9506c182b01c,amalakhova70@gmail.com,Anna,Malakhova,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-09T12:59:59.412Z,2022-10-28T20:33:20.765Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/anna-malakhova-58008913b/,,,,,,,,,True,False,True,True +acd82517-2199-4e37-965e-63547ce148d4,muritala550@gmail.com,Muritala,Raheem,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-21T20:23:38.074Z,2022-09-22T14:02:20.175Z,False,False,Vector Scholarship Recipient,Yes,,,,,,N/A,,,,,,,,,True,True,True,True +5e011cd6-a349-4897-8a5e-e25157f8daef,s.nakhodchi@gmail.com,Sanaz ,Nakhodchi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,"M.Sc Computer Science, CyberScience Lab",,,,,,https://www.linkedin.com/in/sanaz-nakhodchi-76221853/,,True,False,,,,,,,2020-11-03T20:24:51.646Z,2020-11-04T14:08:54.913Z,False,False,Recognized Masters Program,Yes,Other/Unsure,ON,Already Graduated,I am a master student at University of Guelph and I will have defense session by the end of Fall 2020,Miss.,https://www.linkedin.com/in/sanaz-nakhodchi-76221853/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,"Education, Financial Services, Health, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Contract",,University of Guelph,True,False,True,True b0590003-c363-4cb7-a9ef-df17b17b0255,jesus.venegas@ryerson.ca,Jesus,Venegas,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,647-703-6422,,,,,,True,False,,Peterborough,Ontario,,Canada,,2020-05-26T21:50:57.474Z,2020-09-24T02:43:13.515Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,Not Found,,Graduate Degree (Masters),Senior Level (5+ Years),MEng Electrical and Computer Engineering AI Specialization,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project",,Ryerson University,True,True,True,True 63474cdb-2d16-40ec-86fe-bfbd8c65b5dc,ru.luo@mail.utoronto.ca,Ru Lan,Luo,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,https://github.com/luo-luna/,,https://www.linkedin.com/in/luorulan/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/63474cdb-2d16-40ec-86fe-bfbd8c65b5dc/resume,,,,,linkedin,2020-01-24T03:23:09.360Z,2020-01-24T03:23:09.373Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Spring/Summer 2021,Not sure if I'm a student,Miss.,https://www.linkedin.com/in/luorulan/,,Undergraduate Degree (Bachelors),,"Specialist in Statistics, minor in Mathematics","Software, Type of Work is More Important to me than Sector","Full Time, Internship",,University of Toronto,True,False,True,True 62137540-202c-420d-8eee-12ac59dde683,whitela3@outlook.com,Lindsay,White,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-09-23T15:51:47.307Z,2020-09-23T15:51:47.328Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Ms.,N/A,,Postgraduate Degree (PhD),Entry Level (0-2 Years),Mathematics (Knot Theory); Computational Science & Engineering (Topological Inference & Privacy),"Education, Retail, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Internship, Co-op, Contract, Capstone Project",,McMaster University,True,True,True,True @@ -5218,72 +5215,70 @@ d58eaa37-0662-4e1c-a6a3-8404e388cafe,falex.kwan@mail.utoronto.ca,Alex,Kwan,https 605991a8-118a-4a5b-8bf1-42120572375f,godhania@uwindsor.ca,Agnesh,Godhani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-11-06T15:01:26.309Z,2020-11-06T22:18:43.502Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/agnesh-godhani991b319b/,,,,,,,,,True,True,True,True 1daeeabc-9476-4fa5-8568-4add4b83bfe5,parsa.mirdehghan@mail.utoronto.ca,Parsa,Mirdehghan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-10-23T13:10:33.829Z,2020-10-27T02:20:58.389Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/parsa-mirdehghan/,,Postgraduate Degree (PhD),,,,,,,True,True,True,True b21b0ba1-49e5-4a48-8705-078362b490d8,andrew.brown.csf@gmail.com,Andrew,Brown,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2020-01-22T17:03:56.788Z,2020-01-22T17:03:56.802Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/andrew13brown/,,,,,,,,,True,False,True,True -5d94e414-7198-48f6-9330-3e8c0977fd0b,amtul.h.ayesha@gmail.com,Amtul Haq,Ayesha,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Full Stack Software Engineer and Data Scientist,"A professional and self-motivated technologist with 8 years of experience in planning, designing, -developing, and implementing state-of-the-art software solutions. Specialist in enhancing existing -systems and proposing insightful solutions keeping up with latest technologies to maximize business -productivity. Capable of handling multiple projects interfacing between business and technology teams ensuring timely product delivery. -Seasoned full stack developer with experience in working with Python, C#, .Net, Java, HTML5, CSS, -Bootstrap, jQuery, Javascript, React, Angular JS, JSON, SQL & NoSQL databases, RESTful services, -Amazon web services, and google cloud platform. Expertise in deploying containerized applications on Windows and Linux servers. Architected and developed products in various industries such as hospitality, FMCG, retail, healthcare, and medical insurance. -Currently pursuing MSc in Vector Institute Recognized AI program (https://vectorinstitute.ai/ ). Expected to graduate in March 2022.",6479135141,,,,https://www.linkedin.com/in/amtul-haq-ayesha/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5d94e414-7198-48f6-9330-3e8c0977fd0b/resume,Toronto,Ontario,,Canada,,2022-03-07T20:05:26.592Z,2022-03-07T22:20:55.833Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mrs.,www.linkedin.com/in/amtul-haq-ayesha,"Machine learning, Transfer learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Senior Level (5+ Years),Field of Study in Artificial Intelligence,Type of Work is More Important to me than Sector,"Full Time, Contract","Data Architect, Machine Learning Engineer, Software Engineer",Queen's University,True,True,True,True -c860d156-1ba8-4f42-a8a0-6429061169c3,joseph.adelakun@ontariotechu.net,Joseph,Adelakun,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/joseph-adelakun-79a184174/,,True,False,,,,,,,2021-12-22T19:56:11.589Z,2022-01-04T18:44:42.630Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/joseph-adelakun-574a219a,"Computer vision, Data science, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Information Technology Security (AI Specialization),"Financial Services, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development)","Internship, Co-op","Data Scientist, Machine Learning Engineer",OntarioTech University,True,True,True,True -6e9eb117-aa84-46bc-b709-001b5b071d66,19sh46@queensu.ca,Shuyi,Hui,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,https://github.com/SueyiHui,,https://www.linkedin.com/in/shelleyshuyi/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6e9eb117-aa84-46bc-b709-001b5b071d66/resume,,,,,,2020-12-09T19:22:46.807Z,2020-12-09T19:22:46.844Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,No Selection,Already Graduated,,Miss.,https://www.linkedin.com/in/shelleyshuyi/,"Data science, Healthcare and/or medical imaging, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management Analytics,"Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True +7e3e0458-16db-4459-a736-693a60013ce0,hsiaotsan.li@mail.utoronto.ca,Xiaocan,Li,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/7e3e0458-16db-4459-a736-693a60013ce0/resume,,,,,,2020-10-16T06:12:02.105Z,2020-10-16T13:56:07.977Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Student or Postdoc of a Vector Faculty Member,Scott Sanner,Other/Undetermined,,Mr.,N/A,,Postgraduate Degree (PhD),Entry Level (0-2 Years),Mechanical and Industrial Engineering,"Education, Software, Technology (Information and Media)","Full Time, Internship",,University of Toronto,True,True,True,True +498555e5-420d-4f8c-8552-9a510c3281e8,vpate029@uottawa.ca,Vaibhav,P,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Experience Machine Learning Researcher/Engineer,,,,,,https://www.linkedin.com/in/vaibhavpatel11/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/498555e5-420d-4f8c-8552-9a510c3281e8/resume,Ottawa,Ontario,,Canada,,2021-12-22T19:56:41.863Z,2022-01-17T17:48:26.634Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/vaibhavpatel11/,"Anomaly detection, Computer vision, Deep learning, Few-shot learning, Generative modeling, Online learning, Optimization, Robotics, Transfer learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Engineering- Electrical and Computer Engineering,"Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development)","Full Time, Contract","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",University of Ottawa,True,True,True,True +c9f2fabb-aa4d-425e-a8c9-141ecb9c40a4,farshid.ae@gmail.com,Farshid,Jamali,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Scientist,,4169960580,,https://farshidjamali.github.io/,,https://www.linkedin.com/in/farshidjamali/,,True,False,,Toronto,Ontario,,Canada,,2020-10-30T15:30:40.079Z,2021-06-08T22:00:19.918Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/farshidjamali/,"Computer vision, Data science, Deep learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Business Analytics,"Education, Health, Manufacturing , Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation",Full Time,"Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",York University,True,True,True,True +79baaf79-8c94-4931-b22e-1b2c85143b7d,yz4chen@uwaterloo.ca,YINGZHE,CHEN,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,5195039897,,,,https://www.linkedin.com/in/yingzhe-chen-4801a293/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/79baaf79-8c94-4931-b22e-1b2c85143b7d/resume,Toronto,Ontario,,Canada,,2020-10-30T15:30:42.513Z,2020-11-04T18:22:37.359Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/yingzhe-chen-4801a293/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Data Science and Artificial Intelligence,"Financial Services, Software, Technology (Product Development)","Full Time, Internship, Co-op",,University of Waterloo,True,True,True,True +c8af5170-d4a1-48d9-9937-fd15c5126717,c378zhan@uwaterloo.ca,Chi,Zhang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,4168352731,,,,https://www.linkedin.com/in/cz1235/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c8af5170-d4a1-48d9-9937-fd15c5126717/resume,Toronto,Ontario,,Canada,,2020-09-17T16:54:29.958Z,2020-09-19T18:32:42.236Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/cz1235/,,Graduate Degree (Masters),Entry Level (0-2 Years),Statistics,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract",,University of Waterloo,True,True,True,True +f9a37452-d5ad-4ac5-b1a5-d47cf2ad5315,litosli@mie.utoronto.ca,hanze,li,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-11-03T05:46:11.162Z,2020-11-03T05:46:11.195Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Prof. Scott Sanner,Already Graduated,,Mr.,https://www.linkedin.com/in/litos-hanze-li/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Robotics Engineer,"Software, Technology (Information and Media)","Full Time, Internship, Contract",,University of Toronto,True,False,True,True +3b4b14de-5c39-4120-a3a9-c9e522790c18,hello.pulkitmadan@gmail.com,Pulkit,Madan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3b4b14de-5c39-4120-a3a9-c9e522790c18/resume,,,,,,2022-02-17T06:55:12.688Z,2022-02-17T06:55:12.722Z,False,False,Connected to Another AI Institute,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/madanpulkit/,"Computer vision, Deep learning, Self-supervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science (machine learning),,Internship,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",OntarioTech University,True,True,True,True +3e847d62-4ec1-4e8a-afcb-ae628d85b2f4,mhfzarandi@gmail.com,Mohammad H.,Fazel Zarandi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-10-29T21:47:11.264Z,2020-10-29T21:47:11.286Z,False,False,Not Affiliated with Vector,No,Post Graduate Affiliate,,Already Graduated,,Dr.,https://www.linkedin.com/in/mohammad-m-fazel-zarandi-77585a1a/?originalSubdomain=ca,,Postgraduate Degree (PhD),Senior Level (5+ Years),Artificial Intelligence,"Education, Manufacturing , Professional Services (e.g Consulting)",Full Time,,University of Toronto,True,False,True,True +175b7521-10f0-4470-a911-91cf86172512,hello@sejin.kim,Sejin,Kim,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-10-23T13:10:34.134Z,2020-10-23T14:13:43.820Z,False,False,Connected to Vector Research,Yes,,,,,,N/A,,,,,,,,,True,True,True,True +9cc2c7fa-4b7c-4d4c-a94c-928320390528,21rss10@queensu.ca,Ramandeep Singh,Sarna,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-04-02T18:24:52.589Z,2022-04-02T18:24:52.621Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,N/A,"AI safety, Law, ethics and policy, Robotics",Graduate Degree (Masters),Senior Level (5+ Years),Management Analytics,,Full Time,Product/Project Manager,Queen's University,True,True,True,True +628c3194-463c-4ca6-aa01-c4bc72126dff,fallon.scf@gmail.com,Stephen-Caleb,Fallon,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-12-22T19:56:57.544Z,2021-12-30T02:28:07.958Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/stephen-caleb-fallon/,,,,,,,,,True,True,True,True +920c68da-07cc-46fb-95ce-3680ff8ada35,20rhk@queensu.ca,Ruslan,Kain,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-10-30T15:30:42.583Z,2020-11-05T17:04:59.595Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/ruslan-kain-3527aa130/,,,,,,,,,True,True,True,True 97509524-06e1-4dd2-9395-8cc0ecd75d0d,eliasbestlo24@gmail.com,Elias,Bestard Lorigados,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,MSc in CS student interested in Data Science and Data Analytics. Currently performing my thesis project mining and performing a network analysis about online communities’ tag system.,,6476756143,,,,https://linkedin.com/in/elias-bestard-lorigados,,True,False,https://canadaai.jobboard.io/api/v1/profiles/97509524-06e1-4dd2-9395-8cc0ecd75d0d/resume,,,,Canada,,2021-08-24T21:14:53.750Z,2022-06-04T22:22:56.491Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/elias-bestard-lorigados-a3578717a/,"Data science, Graphical models, Machine learning, Optimization, Recommender systems, Self-supervised learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,Type of Work is More Important to me than Sector,"Full Time, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",York University,True,True,True,True 1401369f-fd34-483a-941c-14756d5c8941,chinmay.udaytulapurkar@queensu.ca,Chinmay,Uday Tulapurkar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6475621325,,https://github.com/chinmayt35,,https://www.linkedin.com/in/chinmay-tulapurkar/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/1401369f-fd34-483a-941c-14756d5c8941/resume,Toronto,Ontario,,Canada,,2020-11-10T20:37:52.166Z,2020-11-19T19:31:11.056Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/chinmay-tulapurkar/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,"Financial Services, Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development)",Full Time,,Queen's University,True,False,True,True -17cd5e0d-5ea9-4651-b2ba-28e835a04330,skylar_wang2017@163.com,Skylar,Wang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Schulich MBAN 2022,,,,,,https://www.linkedin.com/in/skylar-wang-523673142/,,True,False,,Toronto,Ontario,,Canada,,2021-06-02T13:19:20.872Z,2021-06-02T13:32:23.003Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mrs.,https://www.linkedin.com/in/skylar-wang-523673142/,,Graduate Degree (Masters),Entry Level (0-2 Years),MBAN,"Financial Services, Professional Services (e.g Consulting), Retail, Technology (Information and Media)","Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Analyst",York University,True,True,True,True -fad90d5b-546d-48e3-8f98-97dbfe720995,bintualkassoum@gmail.com,Bintu,Alkassoum,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Experienced Graduate Research Assistant and AI Consultant (Capstone Project),"I am passionate about problem solving, strategy implementation, and product creation. My academic interests include machine learning ethics, policy, strategy, and management. -To learn more about me, feel free to check out my website: http://www.bintualkassoum.com ",7789602670,,http://www.bintualkassoum.com,,https://www.linkedin.com/in/bintualkassoum/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/fad90d5b-546d-48e3-8f98-97dbfe720995/resume,Toronto,Ontario,,Canada,,2022-05-12T14:22:35.926Z,2022-05-16T20:15:06.229Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Miss.,www.LinkedIn.com/in/bintualkassoum ,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Sociology and Social Justice,"Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship","Machine Learning Researcher/Scientist , Product/Project Manager",York University,True,True,True,True -eeb9a6fb-9063-422a-8ef3-35be51a79eb4,arushaellias@gmail.com,Arusha,Ellias,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-05-04T15:07:01.549Z,2021-05-04T15:21:50.311Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/arushaellias/,,,,,,,,,True,True,True,True -119e12ca-b77c-41b4-922b-df1eb1722b23,shermineh.ghasemi@ryerson.ca,Shermineh,Ghasemi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-11-09T21:33:12.606Z,2021-11-10T02:04:09.913Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/sherminehgh/,,,,,,,,,True,True,True,True -b70a5755-86e4-450e-ae55-313775a37541,saket.deshmukh@ryerson.ca,Saket,Deshmukh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-11-09T21:33:06.188Z,2022-01-04T15:45:50.791Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/saketdeshmukh,,,,,,,,,True,True,True,True -f79165fe-d99d-4ca8-8344-7ab9923531af,dzisu2@gmail.com,David,Zisu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-05-04T15:06:59.142Z,2021-05-06T15:47:21.259Z,False,False,Recognized Masters Program,Yes,,,,,,N/A,,,,,,,,,True,False,True,True -ae97958f-c4a0-465b-bc59-1eecb77234ff,mansi.jain@mail.utoronto.ca,Mansi,Jain,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-05-04T15:07:00.779Z,2021-09-02T17:38:42.602Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/mansi-jain-b5b46428,,,,,,,,,True,,True,True +60d8e5f8-1ee2-4dd3-9608-fcc9de9a547f,psanghal@umich.edu,Prashant,Sanghal,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/60d8e5f8-1ee2-4dd3-9608-fcc9de9a547f/resume,,,,,,2021-09-17T02:50:06.600Z,2021-09-17T02:50:06.625Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,"Passionate about AI, recent graduate.",Mr.,https://www.linkedin.com/in/prashant-sanghal/,"Data science, Deep learning, Machine learning, Natural language processing, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Applied Data Science,Type of Work is More Important to me than Sector,Full Time,"Data Scientist, Machine Learning Engineer",Other,True,True,True,True +3a93b3d0-bb8b-49a1-9242-ee819d09703e,mgwoo@uwaterloo.ca,Min Gyu,Woo,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/min-gyu-woo-246907134/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3a93b3d0-bb8b-49a1-9242-ee819d09703e/resume,,,,,,2021-09-19T20:17:57.243Z,2021-09-21T17:51:19.831Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/min-gyu-woo-246907134/,"Data science, Deep learning, Machine learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Data Science and Artificial Intelligence,Type of Work is More Important to me than Sector,Internship,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",University of Waterloo,True,False,True,True +d79c6055-92ad-4091-b526-6e7775dc9d0f,yushi.guan@mail.utoronto.ca,Yushi,Guan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Researcher with experience in Machine Learning Applications and Hardware Acceleration,,,,https://gavinguan95.github.io/,,https://www.linkedin.com/in/gavin-guan-6a1a3591/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d79c6055-92ad-4091-b526-6e7775dc9d0f/resume,,,,,,2020-12-11T22:20:04.887Z,2020-12-11T22:20:04.923Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Winter 2021,,Mr.,https://www.linkedin.com/in/gavin-guan-6a1a3591/,"Adversarial learning, Computer vision, Natural language processing",Graduate Degree (Masters),Senior Level (5+ Years),Electrical and Computer Engineering - Machine Learning,Software,"Full Time, Internship",,University of Toronto,True,True,True,True +d342b3cc-c211-4a81-bb46-128fd252b37b,anishiitm@gmail.com,Anish,Gupta,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Scientist / Product Manager / Consultant,,,,,,,,True,True,https://canadaai.jobboard.io/api/v1/profiles/d342b3cc-c211-4a81-bb46-128fd252b37b/resume,Toronto,Ontario,,Canada,,2021-10-11T19:49:45.975Z,2021-10-11T19:49:46.003Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,N/A,"Data science, Deep learning, Machine learning, Natural language processing, Recommender systems, Time-series forecasting and modelling, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management in Artificial Intelligence,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector",Full Time,"Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Other ",Queen's University,True,True,True,True +e71ac5bb-85ea-41c9-ab2e-58233525786e,eg.ng@mail.utoronto.ca,Edwin,Ng,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-07-12T19:11:41.082Z,2021-10-15T22:37:36.005Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Jonathan Kelly,Spring/Summer 2023,,Mr.,N/A,"Computer vision, Natural language processing, Robotics",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Applied Science,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Contract","Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Toronto,True,True,True,True +e5fcaf60-92ce-46a7-88c6-57e8cf0661cb,dayea.lee@gmail.com,Jessica Da Yea,Lee,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,"Collaborative problem solver with expertise in translating business needs into data and assessing results for business implications, including process improvements, automation of metric reports, extract / transform / load (ETL) integrations, business intelligence modelling, and Software Development Life Cycle (SDLC) management. ",,,,,https://www.linkedin.com/in/dyleejessica/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e5fcaf60-92ce-46a7-88c6-57e8cf0661cb/resume,Toronto,Ontario,,Canada,,2022-03-07T20:05:27.469Z,2022-03-08T15:48:07.986Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Ms.,N/A,"Data science, Interpretability, Optimization, Quantum computing, Time-series forecasting and modelling",Graduate Degree (Masters),Senior Level (5+ Years),Master of artificial intelligence,"Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development)","Full Time, Contract","Data Scientist, Machine Learning Engineer, Product/Project Manager",Queen's University,True,True,True,True +31155fd4-a0b5-4db4-8db3-4f25dd63a23b,tinashen.tianshu@gmail.com,Tianshu,Shen,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-03-19T14:36:09.315Z,2021-07-29T21:58:35.975Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/tianshu-shen-57a64b112/,,,,,,,,,True,True,True,True +4f5ee3ec-0168-4855-a7a1-bdfbb1b9dc56,ksun48@uwo.ca,Kangchen,Sun,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Candidate for Master of Data Analytics,,6478661996,,,,https://www.linkedin.com/in/kangchen-sun-5b5b53145,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4f5ee3ec-0168-4855-a7a1-bdfbb1b9dc56/resume,London,Ontario,,Canada,,2021-03-11T00:11:59.687Z,2021-03-11T00:11:59.712Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/kangchen-sun-5b5b53145,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Analytics Program,"Financial Services, Professional Services (e.g Consulting), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op",,Western University,True,False,True,True +a8c43b0a-6791-42bd-833b-8073e1777baa,zhaobo.cs@gmail.com,Bo,Zhao,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Applied AI Researcher,,416 559 2013,,https://www.zhaobo.me/,,https://www.linkedin.com/in/zhaobozb/,,True,False,,Toronto,Ontario,,Canada,,2021-09-10T17:42:46.365Z,2021-09-11T14:35:18.509Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Leonid Sigal,Already Graduated,,Dr.,https://www.linkedin.com/in/zhaobozb/,"Computer vision, Deep learning, Generative modeling",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Ph.D in Computer Science,"Financial Services, Technology (Information and Media)",Full Time,"Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True +a6164ac5-8400-43b6-909f-5700f6f89b56,titas.anciukevicius@gmail.com,Titas,Anciukevičius,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2020-12-29T22:59:53.514Z,2020-12-29T22:59:53.529Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/titas-anciukevicius/,,,,,,,,,True,False,True,True +c3353816-d6eb-4621-9ab1-b5f6c46b0746,david.wangruijia@gmail.com,Ruijia,Wang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2022-04-02T19:46:41.201Z,2022-04-02T19:46:41.228Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/david-wang-55081862/,,,,,,,,,True,True,True,True 9f07744a-0f87-44fa-aab3-ad58ea659351,ignavierng@gmail.com,Ignavier,Ng,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,http://www.cs.toronto.edu/~ignavierng/,,https://www.linkedin.com/in/ignavierng/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9f07744a-0f87-44fa-aab3-ad58ea659351/resume,Toronto,Ontario,,Canada,,2020-09-04T14:57:47.040Z,2020-09-12T02:50:51.370Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/ignavierng/,,Graduate Degree (Masters),Entry Level (0-2 Years),Applied Computing,Type of Work is More Important to me than Sector,Internship,,University of Toronto,True,False,True,True 0c299cd3-6e9c-46c0-8b07-bd438f6226ab,nibrah04@uoguelph.ca,Nadin,Ibrahim,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Bioinformatics Master's Student,,,,,,,,True,False,,Mississauga,Ontario,,Canada,,2020-09-04T14:57:49.045Z,2020-09-09T19:43:12.149Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2021,,Miss.,https://www.linkedin.com/in/nadin--ibrahim/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Bioinformatics,Software,Full Time,,University of Guelph,True,True,True,True 2dbec6b3-b134-479e-846f-a96ec9c4f1ba,kwwu2015@gmail.com,Kaiwen,Wu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,"I am a second year master student in computer science at University of Waterloo, supervised by Prof. Yaoliang Yu. Previously, I did my undergraduate in computer science at Nanjing University. I am interested in both theory and application of machine learning. More specifically, I am interested in optimization, adversarial robustness, learning under contamination.",2262205447,,https://cs.uwaterloo.ca/~k77wu/,,https://www.linkedin.com/in/kaiwen-wu-801a29160/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2dbec6b3-b134-479e-846f-a96ec9c4f1ba/resume,,,,,,2020-07-29T23:34:17.951Z,2020-07-31T14:21:29.893Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Yaoliang Yu,Already Graduated,,Mr.,https://www.linkedin.com/in/kaiwen-wu-801a29160/,,Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Software, Technology (Information and Media), Technology (Product Development)",Full Time,,University of Waterloo,True,True,True,True -d995fb8c-6b6a-4e3e-934e-5901aa1de142,sudhersancp@gmail.com,Sudhersan,Parasuraman,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Science,I am Sudhersan Parasuraman. Working as Data Engineer at Capital One Canada. Currently attending MMA and MMAI program at Queens's University. My area of expertise include Data Science/Machine Learning and building data pipelines in AWS using Pyspark. ,6477616393,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d995fb8c-6b6a-4e3e-934e-5901aa1de142/resume,Toronto,Ontario,,Canada,,2020-08-20T16:44:35.511Z,2020-09-24T13:51:16.949Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/sudhersan-parasuraman/,,Graduate Degree (Masters),Senior Level (5+ Years),"MMA, MMAI","Financial Services, Professional Services (e.g Consulting), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Contract",,Queen's University,True,True,True,True +1d8e0a28-c42d-48c7-bc08-0fcfdf4fcefe,tomkreynin@gmail.com,tom,kreynin,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-01-13T20:00:53.237Z,2020-01-13T20:00:53.264Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,I'm currently pursuing an under graduate degree,Mr.,https://www.linkedin.com/in/tom-kreynin-924700181/,,High School,,Industrial Engineering,"Software, Technology (Information and Media), Technology (Product Development)",Co-op,,University of Toronto,True,False,True,True +b0ca17a3-7a3d-4e34-8f23-70840e3431be,aarongabrielhernandez@gmail.com,Aaron,Hernandez,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b0ca17a3-7a3d-4e34-8f23-70840e3431be/resume,Toronto,Ontario,,Canada,,2020-10-16T03:35:25.520Z,2020-10-16T03:35:25.546Z,False,False,Not Affiliated with Vector,No,Other/Unsure,Ontario,Already Graduated,,Mr.,N/A,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Digital Media,"Software, Technology (Information and Media), Technology (Product Development)","Internship, Co-op, Contract",,York University,True,False,True,True 312dd4eb-2ac1-48cd-b66a-4ce946a813ae,senthujan17@gmail.com,senthujan,senkaiahliyan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-09-10T17:42:55.497Z,2021-09-12T22:37:04.603Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/senthujan-senkaiahliyan-b2b5b6bb/,,,,,,,,,True,True,True,True 979b1e14-8199-496a-9673-d30f43c19c5e,mohsen.lotfalipour@gmail.com,Mohsen,Lotfalipour,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-08-14T19:52:19.352Z,2021-08-14T19:52:19.397Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,I'm not sure about this,Mr.,https://www.linkedin.com/in/mohsen-lotfalipour/,"Privacy, anonymity, and/or security, Robotics, Wearable technology and/or Internet of Things",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),I am applying for admission to the York university for master degree.,"Education, Financial Services, Technology (Information and Media), Technology (Product Development)",Co-op,"Business Analyst/Business Intelligence Analyst , Data Analyst, Machine Learning Engineer, Software Engineer",Other,True,True,True,True +c98f03d2-d1f9-43cd-a45b-68f4fe2a4868,brittaney.everitt@gmail.com,Brittaney ,Everitt,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,MSc Canditate - Artificial Intelligence ,,6139857828,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c98f03d2-d1f9-43cd-a45b-68f4fe2a4868/resume,,,,,,2021-06-22T21:25:13.314Z,2021-10-22T03:00:31.142Z,False,False,Recognized Masters Program,Yes,Vector Scholarship Recipient,,Already Graduated,,Miss.,N/A,"Computer vision, Data science, Healthcare and/or medical imaging",Graduate Degree (Masters),Entry Level (0-2 Years),Field of Study in Artificial Intelligence,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Queen's University,True,False,True,True 82b712ce-afb8-41e5-b06a-45de911f5cd1,olumidebenjamin16@gmail.com,Olumide,Ogundepo,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/82b712ce-afb8-41e5-b06a-45de911f5cd1/resume,,,,,,2021-10-07T00:28:09.639Z,2021-10-07T00:28:09.665Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/olumide-ogundepo-76500a15b/,"Data science, Machine learning, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),Statistics,"Education, Financial Services, Health, Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True b09bdc21-1b40-4a7b-9ad3-e3d65afac2a4,praveena.s33@hotmail.com,Praveena ,Subramaniam,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-11-24T14:47:46.525Z,2020-11-24T14:47:46.561Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,"I am not associated with the Vector Institute however, I am hoping that with this job opportunity I will be.",Miss.,N/A,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Biology and Immunology,"Health, Public Administration (i.e Gov't), Technology (Information and Media)","Internship, Contract",,Western University,True,True,True,True ec35ffc2-f5c5-422a-9d9a-8c3cdb59639a,pikanam1@gmail.com,Naman,Katiyar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ec35ffc2-f5c5-422a-9d9a-8c3cdb59639a/resume,,,,,,2020-01-08T14:53:48.319Z,2020-01-08T14:53:48.356Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/naman-katiyar-26858b132/,,Undergraduate Degree (Bachelors),,Aerospace Engineering,"Construction or Infrastructure, Financial Services, Manufacturing , Technology (Information and Media), Technology (Product Development)",Internship,,Ryerson University,True,True,True,True -52ce741b-669b-4b68-aa34-ec64827a29de,blebur18@gmail.com,BleBur,,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-09-08T07:47:50.094Z,2020-09-08T07:47:50.121Z,False,False,Not Affiliated with Vector,No,Vector Scholarship Recipient,,Winter 2021,,Ms.,N/A,,College Diploma,Mid-Level (3-5 Years),yes,Education,Full Time,,Brock University,True,True,True,True 72c8397c-092c-4175-900e-e3cb6df5c2e9,18he3@queensu.ca,Habiba,Elsherbiny,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/72c8397c-092c-4175-900e-e3cb6df5c2e9/resume,,,,,,2019-12-03T15:53:02.811Z,2019-12-16T01:09:13.324Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,,,Miss.,https://www.linkedin.com/in/habiba-elsherbiny-b3b0a3ba/,,,,Master‘s of Applied Science in Electrical and Computer Engineering,"Retail, Telecommunications","Full Time, Internship, Co-op",,Queen's University,True,True,True,True 5c63f9e2-2879-4e9e-ba73-00bc9add0c30,sktdesh@gmail.com,saket,deshmukh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-10-23T13:26:45.245Z,2020-10-23T17:30:50.953Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/saketdeshmukh,,,,,,,,,True,True,True,True +6e2f4558-4d2e-4969-821b-961a8138fb2d,shah19k@uwindsor.ca,priyanshi,shah,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,"Highly motivated Computer Science graduate with a research +background in Artificial Intelligence, Machine Learning, and Data +Science. Looking for a challenging career which demands the best of +my professional ability in terms of technical and analytical skills, and +helps me in broadening and enhancing my current skills and +knowledge. +",6478706221,,,,https://www.linkedin.com/in/priyanshi-shah393,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6e2f4558-4d2e-4969-821b-961a8138fb2d/resume,Toronto,Ontario,,Canada,,2020-07-06T21:43:23.594Z,2020-07-07T15:00:15.244Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,linkedin.com/in/priyanshi-shah393,,Graduate Degree (Masters),Entry Level (0-2 Years),MSc,"Education, Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Contract",,University of Windsor,True,True,True,True +77b87beb-fa50-4f21-bd24-f315c0f3cd4f,divya.pathak@queensu.ca,Divya,Pathak,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Incident Manager,,,,,,,,True,False,,Toronto,Ontario,,Canada,linkedin,2019-12-04T18:11:39.561Z,2019-12-04T18:11:39.582Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Miss.,https://www.linkedin.com/in/divya-pathak-7b65b440/,,,,MMA - Master of Management Analytics,"Financial Services, Retail, Telecommunications",Full Time,,Queen's University,True,True,True,True +dd5be2e3-a9b1-4322-bebc-7b1ba7f8117a,camila.benm@gmail.com,Camila,Benmessaoud,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-08-13T19:40:45.154Z,2020-09-11T15:09:20.041Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/camila-benmessaoud/,,,,,,,,,True,False,True,True +246861ff-7f24-4678-a61e-2a600da538f5,vasavipriya92@yahoo.com,Vasavi priya,Nirugonda,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Scientist,,6478729497,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/246861ff-7f24-4678-a61e-2a600da538f5/resume,Toronto,Ontario,,Canada,linkedin,2020-06-25T17:38:33.649Z,2020-06-25T17:38:33.860Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,,Miss.,https://www.linkedin.com/in/vasavi-priya-nirugonda-27b47616b/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Electrical engineering,"Financial Services, Health, Professional Services (e.g Consulting), Software, Type of Work is More Important to me than Sector","Full Time, Internship, Contract",,University of Windsor,True,False,True,True +bfaeeea6-3908-44d9-ba7c-e848c8b04307,ian.shi@mail.utoronto.ca,Ian,Shi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/bfaeeea6-3908-44d9-ba7c-e848c8b04307/resume,,,,,,2020-08-28T15:00:53.100Z,2021-03-12T02:37:21.200Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Quaid Morris,Already Graduated,,Mr.,https://www.linkedin.com/in/ruian-shi-4b5215b9/,,Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,Type of Work is More Important to me than Sector,Internship,,University of Toronto,True,False,True,True +faa045f8-168a-4091-a3af-735a0811eaed,jaspreet0787@gmail.com,Jaspreet,Goraya,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-01-13T03:15:39.745Z,2020-01-13T03:15:39.809Z,False,False,Not Affiliated with Vector,No,Other/Unsure,British Columbia,Already Graduated,post-baccalaureate certificate in data analytics,Miss.,https://www.linkedin.com/in/jaspreet-goraya-a985561a0/,,Graduate Degree (Masters),,post-baccalaureate certificate in data analytics,"Software, Technology (Information and Media)","Internship, Co-op",,Other,True,False,True,True +5611eae6-7186-4bcf-8c80-641137309bce,19fl9@queensu.ca,Feifan,Lu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,4168388666,,https://github.com/FeifanLu/Portfolio,,https://www.linkedin.com/in/fflu/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5611eae6-7186-4bcf-8c80-641137309bce/resume,Toronto,Ontario,,Canada,,2020-08-13T19:40:15.912Z,2020-09-24T13:38:43.959Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/feifan-lu-0b8b02142/,"Data science, Interpretability, Machine learning, Optimization",Graduate Degree (Masters),Mid-Level (3-5 Years),Management Analytics,"Financial Services, Professional Services (e.g Consulting), Retail","Full Time, Internship, Contract",,Queen's University,True,True,True,True +365dbce0-3956-49c3-8661-d83e906f9740,surviva614@gmail.com,Arun,Raja,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Deep Learning Research Intern,,+65 97617974,,https://www.linkedin.com/in/arun~raja/,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/365dbce0-3956-49c3-8661-d83e906f9740/resume,,,,,linkedin,2020-01-14T16:12:48.310Z,2020-05-04T15:39:01.197Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Dr.Grosse,Already Graduated,Research Intern,Mr.,https://www.linkedin.com/in/arun~raja/,,Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),Artificial Intelligence and Computer Science,Type of Work is More Important to me than Sector,"Full Time, Internship, Contract",,University of Toronto,True,True,True,True +41fd101f-16e4-47fa-81a5-216702ad5d9b,p.vafaeikia@gmail.com,Partoo,Vafaeikia,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-08-28T15:00:53.008Z,2020-09-13T02:32:16.127Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/partoovafaeikia/,,,,,,,,,True,True,True,True +9f1e2e2c-fdcf-4863-96a5-0d75f9ae3d7e,nilani.sritharan@mail.utoronto.ca,Nilani,Sritharan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-22T01:10:15.597Z,2019-12-22T01:10:15.654Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Ms.,https://www.linkedin.com/in/nilani-sritharan/,,,,Master of Health Informatics,Health,"Internship, Co-op",,University of Toronto,True,True,True,True +7f9e18d3-74c8-47b7-ba27-cd37878a07cd,raviteja.mureboina@ontariotechu.net,Raviteja,Mureboina,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-08-13T19:40:18.035Z,2020-08-14T05:02:54.176Z,False,False,Recognized Masters Program,Yes,,,,,,https://in.linkedin.com/in/ravi-teja-mureboina-aaa609149,,,,,,,,,True,True,True,True +c6d3a35f-01a9-45e5-937f-374a73c86252,enazari@aut.ac.ir,Ehsan,Nazari,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-08-13T19:40:34.569Z,2020-08-13T20:58:30.619Z,False,False,Vector Scholarship Recipient,Yes,,,,,,https://www.linkedin.com/in/nazari-ehsan,,,,,,,,,True,True,True,True +7f6a418d-d79e-4aae-b981-8b76e9d7e896,sshaban7@uwo.ca,shabnam,shabani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-07-17T22:33:57.298Z,2022-07-17T22:33:57.336Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/shabnam-shabani-544031a6/,"Computer vision, Data science, Deep learning, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),computer science,"Education, Financial Services, Transportation","Full Time, Internship, Contract","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Western University,True,True,True,True +fa82f7f5-18b4-4365-87f8-62e0e0fbc9a1,mark.chen1102@gmail.com,SHIJIE,CHEN,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,Schulich Masters of Business Analytics 2023 | Data Science & Strategy | AI & ML | Data Analytics,6477788869,,,,,,True,False,,Toronto,Ontario,,Canada,,2022-09-14T22:50:48.079Z,2022-09-27T15:26:30.054Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/shijie%EF%BC%88mark-chen-89762815b/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Business Analytics,"Financial Services, Professional Services (e.g Consulting), Technology (Information and Media)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",York University,True,True,True,True +3b2f7b8c-71c9-4a25-8d8b-7531bc330272,saadman_9@hotmail.com,Syed,Huzaifa,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Analyst and Graduate Student in Business Analytics and AI ,"I am currently a full time Data Analyst for a leading multi-national Commercial Real Estate intelligence company. I am also a part-time graduate student in Business Analytics and Artificial Intelligence program. Before venturing my interest in the Data world, I was a seasoned people and business manager at a top auto rental company and I am experienced in banking and insurance industry as well. My diverse professional background enables me to effectively understand the business processes and workflows at various workplaces. ",6475490266,,,,https://ca.linkedin.com/in/syedhuzaifa,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3b2f7b8c-71c9-4a25-8d8b-7531bc330272/resume,Toronto,Ontario,,Canada,,2022-09-20T15:13:52.494Z,2022-09-29T13:55:38.423Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/syedhuzaifa/,"Data science, Machine learning, Physics",Graduate Degree (Masters),Mid-Level (3-5 Years),Masters of Business Analytics and Artificial Intelligence,"Manufacturing , Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",OntarioTech University,True,True,True,True fd9914b0-5a20-4aa7-8a8b-04149ee27cee,heiko.carrasco@yahoo.com,Heiko,Carrasco,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/heiko-carrasco,,True,False,https://canadaai.jobboard.io/api/v1/profiles/fd9914b0-5a20-4aa7-8a8b-04149ee27cee/resume,Toronto,Ontario,,Canada,,2022-01-13T20:27:33.391Z,2022-01-13T20:52:49.731Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Animesh Garg,Already Graduated,,Mr.,https://www.linkedin.com/in/heiko-carrasco/,"Generative modeling, Machine learning, Reinforcement learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,Type of Work is More Important to me than Sector,"Full Time, Internship","Data Engineer, Data Scientist, Machine Learning Engineer, Software Engineer",Other,True,False,True,True 83224c54-4d88-44e1-aecc-d91aa9e21106,21lx8@queensu.ca,LIWEI,XUE,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,2048071133,,,,https://www.linkedin.com/in/alicexue250592,,True,False,,,Manitoba,,Canada,,2022-06-21T23:39:33.060Z,2022-06-21T23:39:33.100Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,MB,Winter 2023 (December 2022 - March 2023),,Ms.,https://www.linkedin.com/in/alicexue250592,Machine learning,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management Analytics,"Education, Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst",Queen's University,True,True,True,True -bb4f8a76-9a1e-48b2-a42c-84ef6ec6cc26,panktijoshi1996@gmail.com,Pankti ,Joshi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,8073577253,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/bb4f8a76-9a1e-48b2-a42c-84ef6ec6cc26/resume,Thunder Bay,Ontario,,Canada,,2019-12-11T18:42:50.674Z,2019-12-11T18:42:50.711Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Miss.,https://www.linkedin.com/in/pankti-joshi-9a686a9b/,,,,Master's in Computer Science,"Financial Services, Retail, Telecommunications",Full Time,,Lakehead University,True,True,True,True -e1d83f5f-0e1d-42e7-abae-adda42a5f209,fatma.nausheen@gmail.com,Nausheen,Fatma,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/nausheenfatma/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e1d83f5f-0e1d-42e7-abae-adda42a5f209/resume,,,,,,2020-07-13T02:28:21.582Z,2020-07-13T02:28:21.613Z,False,False,Not Affiliated with Vector,No,Other/Unsure,no,Already Graduated,no,Miss.,https://www.linkedin.com/in/nausheenfatma/,,Graduate Degree (Masters),Mid-Level (3-5 Years),MS Computer Science Engineering,,Full Time,,Other,True,True,True,True -2e4e6075-b5a4-4d25-85e6-21dd1b0d5806,sonalbihani9@gmail.com,Sonal,Bihani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2e4e6075-b5a4-4d25-85e6-21dd1b0d5806/resume,,,,,,2022-08-31T17:18:18.147Z,2022-09-02T22:01:43.780Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Ms.,https://www.linkedin.com/in/sonal-bihani-092,"Computer vision, Data science, Deep learning, Natural language processing, Time-series forecasting and modelling",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Masters in Data Science and AI,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op","Data Analyst, Data Scientist, Machine Learning Engineer, Software Engineer",University of Waterloo,True,True,True,True -6286a7ec-f81f-43ec-a38f-e0feadb76419,jwu220@uottawa.ca,Junzheng,Wu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-01-18T16:23:09.757Z,2020-01-18T19:56:48.423Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Herna Viktor is my supervisor.,Already Graduated,,Mr.,Not Found,,Graduate Degree (Masters),,Master of Computer Science,"Health, Software, Technology (Product Development)","Full Time, Internship",,University of Ottawa,True,True,True,True -6b2331a3-f73b-4ed4-95a5-d4dfe2d395b5,cparisa@lakeheadu.ca,Chandrasekhar,Parisa,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/chandrasekhar-parisa-25a68685/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6b2331a3-f73b-4ed4-95a5-d4dfe2d395b5/resume,,,,,,2019-12-23T02:59:17.211Z,2020-01-03T01:48:59.881Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/chandrasekhar-parisa-25a68685/,,,,Masters,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development)",Full Time,,Lakehead University,True,True,True,True -137870d1-97c7-4c35-8e15-cfcb6d84182c,akunjir@lakeheadu.ca,Ajinkya,Kunjir,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,2 Years of experience in QA,,807-357-7398,,,,,,True,False,,Thunder Bay,Ontario,,Canada,,2019-12-05T14:32:53.078Z,2019-12-05T14:32:53.114Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/ajinkyakunjir/,,,,Masters in Computer Science,"Financial Services, Telecommunications","Full Time, Internship, Contract",,Lakehead University,True,True,True,True -6afa8664-b14e-4cb5-8f9f-9a2a4bf54d13,egmoreira80@gmail.com,Eduardo,Gonzalez Moreira,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-07-12T19:03:54.456Z,2020-07-12T19:03:54.478Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,none,Dr.,https://www.linkedin.com/in/eduardo-gonzalez-moreira-9a6aa4a0/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Biomedical Engineering,Health,Full Time,,Other,True,True,True,True -d608d39f-4ab1-4076-b871-e80990aa277d,jordonpeters3@gmail.com,Jordon,Peters,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,True,,,,,,,2019-12-13T21:49:04.095Z,2019-12-13T21:49:04.138Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,,,Mr.,https://www.linkedin.com/in/jordon-peters/,,,,Computer Technology Systems analyst,,"Internship, Co-op",,Other,True,False,True,True -b7692ce3-a5e6-42a7-ba7f-02d3fa103e0e,connorpjarvis@gmail.com,Connor,Jarvis,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2020-01-12T19:18:03.033Z,2020-01-12T19:18:03.057Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/connor-jarvis-5212b6164/,,,,,,,,,True,False,True,True -b12b644e-a893-4a1b-b8ad-0237a68d263f,everardrodney@rogers.com,Everard,"Rodney P.Eng, MMAI",https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2019-12-04T15:50:14.516Z,2019-12-04T15:50:14.534Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/everardrodney/,,,,MMAI,,"Full Time, Contract",,Queen's University,True,True,True,True -4feb0860-07b4-498c-86fe-33b9da87212e,kiarash.jamali@mail.utoronto.ca,Kiarash,Jamali,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2020-01-02T00:49:04.319Z,2020-01-02T00:49:04.340Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/kiarash-jamali-9b73a6171/,,,,,,,,,True,True,True,True -3b2f7b8c-71c9-4a25-8d8b-7531bc330272,saadman_9@hotmail.com,Syed,Huzaifa,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Analyst and Graduate Student in Business Analytics and AI ,"I am currently a full time Data Analyst for a leading multi-national Commercial Real Estate intelligence company. I am also a part-time graduate student in Business Analytics and Artificial Intelligence program. Before venturing my interest in the Data world, I was a seasoned people and business manager at a top auto rental company and I am experienced in banking and insurance industry as well. My diverse professional background enables me to effectively understand the business processes and workflows at various workplaces. ",6475490266,,,,https://ca.linkedin.com/in/syedhuzaifa,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3b2f7b8c-71c9-4a25-8d8b-7531bc330272/resume,Toronto,Ontario,,Canada,,2022-09-20T15:13:52.494Z,2022-09-29T13:55:38.423Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Mr.,https://www.linkedin.com/in/syedhuzaifa/,"Data science, Machine learning, Physics",Graduate Degree (Masters),Mid-Level (3-5 Years),Masters of Business Analytics and Artificial Intelligence,"Manufacturing , Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager",OntarioTech University,True,True,True,True -fa82f7f5-18b4-4365-87f8-62e0e0fbc9a1,mark.chen1102@gmail.com,SHIJIE,CHEN,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,Schulich Masters of Business Analytics 2023 | Data Science & Strategy | AI & ML | Data Analytics,6477788869,,,,,,True,False,,Toronto,Ontario,,Canada,,2022-09-14T22:50:48.079Z,2022-09-27T15:26:30.054Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/shijie%EF%BC%88mark-chen-89762815b/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Business Analytics,"Financial Services, Professional Services (e.g Consulting), Technology (Information and Media)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",York University,True,True,True,True -ddcb5d24-228c-4d9c-9ed3-a0d82f3abb5b,hodat@yorku.ca,Hoda,Torabi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-12-22T19:56:25.411Z,2022-09-19T23:09:51.427Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Dr. Marin Litoiu,Spring/Summer 2023 (April - July),,Ms.,https://www.linkedin.com/in/hoda-torabi-94105717/,"Data science, Time-series forecasting and modelling, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Mid-Level (3-5 Years),Second,"Financial Services, Health, Software",Internship,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",York University,True,True,True,True -7f6a418d-d79e-4aae-b981-8b76e9d7e896,sshaban7@uwo.ca,shabnam,shabani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-07-17T22:33:57.298Z,2022-07-17T22:33:57.336Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/shabnam-shabani-544031a6/,"Computer vision, Data science, Deep learning, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),computer science,"Education, Financial Services, Transportation","Full Time, Internship, Contract","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Western University,True,True,True,True 96d79a3e-35d6-4798-862e-3954ed22c158,roya.dehghani@ontariotechu.net,roya,dehghani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,2896858646,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/96d79a3e-35d6-4798-862e-3954ed22c158/resume,Oshawa,Ontario,,Canada,,2022-05-12T14:22:40.626Z,2022-09-28T03:27:34.951Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Winter 2023 (December 2022 - March 2023),,Miss.,linkedin.com/in/rdehghani73,"Computer vision, Data science, Machine learning, Optimization, Recommender systems, Robotics",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,,Full Time,"Data Engineer, Machine Learning Engineer, Software Engineer",Other,True,True,True,True 4f083cd0-ac62-4aaa-8629-9c987616ae0c,leona.xiang97@gmail.com,Leona,Xiang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-09-01T20:47:54.288Z,2022-07-28T19:06:43.748Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,True,True,True -2ea1ad7b-a2c0-4308-89aa-a04193cc7c06,pranjal.dave97@gmail.com,Pranjal,Dave,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Graduate Student at Ryerson University,"Currently in my last semester of academics in the MEng Electrical and Computer program with concentration in AI at Toronto Metropolitan University. - -My paper titled ,""Brain Tumor Segmentation in MRI Images Using a Modified U-Net Model"" was accepted at IEEE International Conference on Digital Health 2022, Barcelona, Spain. - - - - -",6475752770,,,,https://www.linkedin.com/in/pranjaldave/,pranjal_dave,True,True,https://canadaai.jobboard.io/api/v1/profiles/2ea1ad7b-a2c0-4308-89aa-a04193cc7c06/resume,Toronto,Ontario,,Canada,linkedin,2020-09-11T15:12:26.666Z,2022-08-24T21:57:03.067Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/pranjaldave/,,Graduate Degree (Masters),Entry Level (0-2 Years),MEng Electrical and Computer with concentration in AI,"Education, Financial Services, Health, Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",Ryerson University,True,True,True,True -8dec3aa4-b000-40b8-a732-3d10b6045e1d,zhenmeng9@outlook.com,Zhen,Meng,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8dec3aa4-b000-40b8-a732-3d10b6045e1d/resume,,,,,,2022-09-09T12:59:57.080Z,2022-11-13T19:50:18.571Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/zhen-meng00/,"Deep learning, Machine learning, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),Software Engineering,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation",Full Time,"Machine Learning Engineer, Product/Project Manager, Software Engineer",Western University,True,False,True,True -8aef8166-8653-4b28-8e1d-168f6d728027,manjunaath.higherstudies@gmail.com,Manjunaath,Srinath,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-09T12:59:59.617Z,2022-09-21T14:04:29.116Z,False,False,Recognized Masters Program,Yes,,,,,,N/A,,,,,,,,,True,True,True,True -05befe03-ffa1-48bd-96d4-fe0e16fb8479,abasu4@yorku.ca,Ankur,Basu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data analytics student | Experienced Financial Fraud analyst,"I graduated in May 2019 with a major in Mathematics with Actuarial Concentration and minor in economics from Kent State University. Currently I am enrolled as a graduate student in the business analytics program at the Schulich School of Business. - -Having served as an AML analyst for almost three years, I am accustomed to the rigors of fast-paced, highly-regulated environments requiring sharp attention to detail, consummate accuracy, and outstanding communication & collaboration skills. - -My Bachelors degree established my foundations in mathematics along with comprehensive learning of finance, economics. I aspire to gain experience in the field of analytics through my masters degree to expand my skillset.",330-572-9542,,,,https://www.linkedin.com/in/ankur-b-9256ba165/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/05befe03-ffa1-48bd-96d4-fe0e16fb8479/resume,Toronto,Ontario,,Canada,,2022-09-20T15:15:23.864Z,2022-09-23T13:14:19.665Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/ankur-b-9256ba165/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master Business Analytics,"Financial Services, Technology (Information and Media), Transportation",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",York University,True,True,True,True +2e4e6075-b5a4-4d25-85e6-21dd1b0d5806,sonalbihani9@gmail.com,Sonal,Bihani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2e4e6075-b5a4-4d25-85e6-21dd1b0d5806/resume,,,,,,2022-08-31T17:18:18.147Z,2022-09-02T22:01:43.780Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Ms.,https://www.linkedin.com/in/sonal-bihani-092,"Computer vision, Data science, Deep learning, Natural language processing, Time-series forecasting and modelling",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Masters in Data Science and AI,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op","Data Analyst, Data Scientist, Machine Learning Engineer, Software Engineer",University of Waterloo,True,True,True,True 0377873a-3ca0-43af-b3fb-6616798a20bd,patrick.smyth@nrcan-rncan.gc.ca,Patrick,Smyth,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Experienced in Time Series Forecasting and Modelling,,5148915576,,,,,,True,False,,Ottawa,Ontario,,Canada,,2022-09-20T13:05:00.237Z,2022-09-20T13:05:00.288Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,Current employee with Natural Resources Canada,Mr.,N/A,"Bioinformatics, Computer vision, Data science, Deep learning, Machine learning, Time-series forecasting and modelling, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Bioinformatics,Type of Work is More Important to me than Sector,Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Ottawa,True,True,True,True e42c4658-304a-4cb6-b70c-8856ca370bd1,mina.yazdani@ryerson.ca,Mina,Yazdani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-16T20:52:08.658Z,2022-09-16T20:52:08.709Z,False,False,Not Affiliated with Vector,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Ms.,https://www.linkedin.com/in/mina-yazdani-4465476a/,"Data science, Deep learning, Privacy, anonymity, and/or security",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer engineering,,"Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Ryerson University,True,True,True,True a231bfb5-4171-4299-9168-ef1e1e0305d0,jamal.chu@mail.utoronto.ca,Jamal,Chu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,True,https://canadaai.jobboard.io/api/v1/profiles/a231bfb5-4171-4299-9168-ef1e1e0305d0/resume,Toronto,Ontario,,Canada,,2021-05-12T19:23:49.752Z,2022-06-28T22:19:42.469Z,False,False,Connected to Vector Research,Yes,Vector Scholarship Recipient,Timothy Chan,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/jamal-c-312737104/,"Healthcare and/or medical imaging, Machine learning, Optimization",Graduate Degree (Masters),Entry Level (0-2 Years),MASc Industrial Engineering,"Education, Health, Public Administration (i.e Gov't)",Internship,"Data Analyst, Data Scientist, Machine Learning Researcher/Scientist , Other ",University of Toronto,True,True,True,True @@ -5297,17 +5292,23 @@ d6daf8ee-876d-4be6-8665-5cc913b0b496,karim.hamade@mail.utoronto.ca,Karim,Hamade, ccd7c025-66f9-4e00-bb0d-c42e68d11db6,sx.li@mail.utoronto.ca,Shixuan,Li,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-09T12:59:55.824Z,2022-09-09T21:29:26.285Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Winter 2024 (December 2023 - March 2024),,Ms.,www.linkedin.com/in/li-nadia,,Graduate Degree (Masters),Entry Level (0-2 Years),MScAC,,Internship,"Data Analyst, Machine Learning Researcher/Scientist ",University of Toronto,True,False,True,True ac1be7c7-277e-450c-9b1d-2a70d1a0b726,claessej@uoguelph.ca,Jacob,Claessens,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-12-22T19:56:58.032Z,2022-08-31T08:31:33.638Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/jacobclaessens/,,,,,,,,,True,False,True,True c22ad67b-100a-4ad9-8db5-c3621826db4f,ctakasaka@protonmail.com,Callum,Takasaka,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-08-31T17:18:19.302Z,2022-09-06T20:39:04.225Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/ctakasaka,,,,,,,,,True,False,True,True -dd3cb48c-6001-4760-aa17-420bd8746258,shivangmistry7448@gmail.com,Shivang,Mistry,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-21T20:23:23.514Z,2022-09-21T21:36:00.736Z,False,False,Internal Staff,Yes,,,,,,https://www.linkedin.com/in/shivang-mistry-1119b818b/,,,,,,,,,True,True,True,True +8aef8166-8653-4b28-8e1d-168f6d728027,manjunaath.higherstudies@gmail.com,Manjunaath,Srinath,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-09T12:59:59.617Z,2022-09-21T14:04:29.116Z,False,False,Recognized Masters Program,Yes,,,,,,N/A,,,,,,,,,True,True,True,True +05befe03-ffa1-48bd-96d4-fe0e16fb8479,abasu4@yorku.ca,Ankur,Basu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data analytics student | Experienced Financial Fraud analyst,"I graduated in May 2019 with a major in Mathematics with Actuarial Concentration and minor in economics from Kent State University. Currently I am enrolled as a graduate student in the business analytics program at the Schulich School of Business. + +Having served as an AML analyst for almost three years, I am accustomed to the rigors of fast-paced, highly-regulated environments requiring sharp attention to detail, consummate accuracy, and outstanding communication & collaboration skills. + +My Bachelors degree established my foundations in mathematics along with comprehensive learning of finance, economics. I aspire to gain experience in the field of analytics through my masters degree to expand my skillset.",330-572-9542,,,,https://www.linkedin.com/in/ankur-b-9256ba165/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/05befe03-ffa1-48bd-96d4-fe0e16fb8479/resume,Toronto,Ontario,,Canada,,2022-09-20T15:15:23.864Z,2022-09-23T13:14:19.665Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/ankur-b-9256ba165/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master Business Analytics,"Financial Services, Technology (Information and Media), Transportation",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",York University,True,True,True,True +dcf8ffaa-7d28-4cea-a974-ef202147427b,maanuelib@gmail.com,Emmanuel,Ibionoh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/emmanuel-ibionoh-212988149/,,True,False,,,,,,,2022-05-19T01:47:50.952Z,2022-09-10T15:27:03.579Z,False,False,Internal Staff,Yes,Other/Unsure,,Already Graduated,Currently working as an intern,Mr.,https://www.linkedin.com/in/emmanuel-ibionoh-212988149/,"Data science, Deep learning, Machine learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science,,"Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Lakehead University,True,True,True,True +3a67c283-22b5-4a40-886f-74e868d02e36,n9thomas@uwaterloo.ca,Naomi,Thomas,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Biomedical Engineeering student at the University of Waterloo,Seeking spring co-op (May-August),6476742454,,,,,,True,False,,,Ontario,,Canada,,2022-11-08T18:16:53.638Z,2022-11-08T18:16:53.714Z,False,False,Other Vector Programming,Yes,Other Vector Programming,,Other/Undetermined,,Ms.,https://www.linkedin.com/in/naomi-thomas29/,"Healthcare and/or medical imaging, Neuroscience, Wearable technology and/or Internet of Things",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Biomedical Engineering,"Health, Software","Internship, Co-op, Contract, Capstone Project","Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Waterloo,True,True,True,True +a01b6049-7486-443d-a3b3-10e9217c8d93,ssaini7@lakeheadu.ca,Saurav,Saini,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-20T15:13:54.515Z,2022-09-22T09:22:36.860Z,False,False,Recognized Masters Program,Yes,,,,,,N/A,,,,,,,,,True,True,True,True 8e13a977-511d-4cdd-971f-db6b288a46c6,yge64@uwo.ca,Yijie,Ge,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8e13a977-511d-4cdd-971f-db6b288a46c6/resume,,,,,,2022-09-21T20:23:19.816Z,2022-09-22T16:02:49.298Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/yijiege/,"Data science, Deep learning, Machine learning, Meta-learning",Graduate Degree (Masters),Entry Level (0-2 Years),Data Analytics,"Financial Services, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer",Western University,True,False,True,True 8bdb90b8-03ae-435a-a664-010247e92550,maede.ashofteh@gmail.com,Maede,AshoftehBarabadi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,MASc. student at Queen's,I have around 3 years of work experience(1 year as a back-end developer and 2 years as a data scientist). I am interested in natural language processing applications.,3439895725,,,,https://www.linkedin.com/in/maede-ashofteh-barabadi/,,True,False,,Kingston,Ontario,,Canada,,2022-10-03T15:46:08.668Z,2022-10-03T15:46:08.760Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,Xiaodan Zhu,Spring/Summer 2024 (April - July),,Ms.,https://www.linkedin.com/in/maede-ashofteh-barabadi/,"Natural language processing, Self-supervised learning, Transfer learning",Graduate Degree (Masters),Mid-Level (3-5 Years),MASc. at Computer Engineering,Type of Work is More Important to me than Sector,"Internship, Contract","Data Analyst, Data Scientist, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True c55cc229-0adb-4e90-96a7-a5df38ddaa9d,jason.n.deon@gmail.com,Jason,d'Eon,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,PhD Student,,9024714751,,https://www.jasondeon.com/,,,,True,False,,Halifax,Nova Scotia,,Canada,,2022-09-02T21:07:55.768Z,2022-09-27T02:38:51.230Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Dr. Sageev Oore,Spring/Summer 2024 (April - July),,Mr.,None,"Deep learning, Generative modeling, Optimization",Postgraduate Degree (PhD),Mid-Level (3-5 Years),PhD in Computer Science,"Financial Services, Health, Technology (Product Development)","Internship, Co-op","Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True 86d989a0-3ccf-49c1-b8b7-a4b561fb2a7b,vidhi.kokel@gmail.com,Vidhi,Kokel,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Software Developer,,,,,,https://www.linkedin.com/in/vidhi-kokel/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/86d989a0-3ccf-49c1-b8b7-a4b561fb2a7b/resume,Kingston,Ontario,,Canada,,2021-12-22T19:55:57.202Z,2022-10-23T14:18:26.568Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Ms.,https://www.linkedin.com/in/vidhi-kokel/,"Adversarial learning, AI safety, Computer vision, Data science, Deep learning, Healthcare and/or medical imaging, Machine learning, Natural language processing, Privacy, anonymity, and/or security, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Engineering in Electrical and Computer Engineering,"Education, Health, Retail, Software, Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",Queen's University,True,True,True,True d436b1b7-eb8e-4236-9bc7-8a5b92e8acf0,khizer@schulich.yorku.ca,Khawaja Khizer,Hussain,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-26T19:59:51.794Z,2022-09-26T19:59:51.847Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/khawaja-khizer-hussain-31086a89/,,Graduate Degree (Masters),Senior Level (5+ Years),BUSINESS ANALYTICS,"Construction or Infrastructure, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Product/Project Manager, Other ",York University,True,False,True,True -3a67c283-22b5-4a40-886f-74e868d02e36,n9thomas@uwaterloo.ca,Naomi,Thomas,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Biomedical Engineeering student at the University of Waterloo,Seeking spring co-op (May-August),6476742454,,,,,,True,False,,,Ontario,,Canada,,2022-11-08T18:16:53.638Z,2022-11-08T18:16:53.714Z,False,False,Other Vector Programming,Yes,Other Vector Programming,,Other/Undetermined,,Ms.,https://www.linkedin.com/in/naomi-thomas29/,"Healthcare and/or medical imaging, Neuroscience, Wearable technology and/or Internet of Things",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Biomedical Engineering,"Health, Software","Internship, Co-op, Contract, Capstone Project","Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Waterloo,True,True,True,True -dcf8ffaa-7d28-4cea-a974-ef202147427b,maanuelib@gmail.com,Emmanuel,Ibionoh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/emmanuel-ibionoh-212988149/,,True,False,,,,,,,2022-05-19T01:47:50.952Z,2022-09-10T15:27:03.579Z,False,False,Internal Staff,Yes,Other/Unsure,,Already Graduated,Currently working as an intern,Mr.,https://www.linkedin.com/in/emmanuel-ibionoh-212988149/,"Data science, Deep learning, Machine learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science,,"Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Lakehead University,True,True,True,True -b54dbbe9-18bc-4eff-8ff3-86feba6739b7,yqc@schulich.yorku.ca,Qiaochu,Yang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-20T15:15:03.330Z,2022-09-24T14:44:11.297Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/qiaochu-yang/,,,,,,,,,True,False,True,True -a01b6049-7486-443d-a3b3-10e9217c8d93,ssaini7@lakeheadu.ca,Saurav,Saini,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-20T15:13:54.515Z,2022-09-22T09:22:36.860Z,False,False,Recognized Masters Program,Yes,,,,,,N/A,,,,,,,,,True,True,True,True 33f4db45-1971-4ca8-9d8e-f3c1cf81f571,sotiris.nousias@utoronto.ca,Sotirios,Nousias,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-20T15:14:58.996Z,2022-09-22T18:38:28.616Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/sotirisnousias/,,,,,,,,,True,True,True,True +dd3cb48c-6001-4760-aa17-420bd8746258,shivangmistry7448@gmail.com,Shivang,Mistry,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-21T20:23:23.514Z,2022-09-21T21:36:00.736Z,False,False,Internal Staff,Yes,,,,,,https://www.linkedin.com/in/shivang-mistry-1119b818b/,,,,,,,,,True,True,True,True +b54dbbe9-18bc-4eff-8ff3-86feba6739b7,yqc@schulich.yorku.ca,Qiaochu,Yang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-20T15:15:03.330Z,2022-09-24T14:44:11.297Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/qiaochu-yang/,,,,,,,,,True,False,True,True cd469d6f-e763-42ac-93f9-ecab43bdbab1,moappiah@outlook.com,Martha,Appiah,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-02-09T17:47:11.349Z,2022-02-15T00:28:31.960Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/marthaappiah1,,,,,,,,,True,True,True,True c8c3958b-d526-4b1e-ba3b-f6ca9c5311cc,llinda.wjsun@gmail.com,Linda,Sun,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Consultant - Data & Analytics at EY,"“Data Doesn’t Speak for Itself.” Linda Sun is a consultant in Technology Consulting (Data & Analytics practice) at EY. She has been working on data science and machine learning projects, and is responsible for both hands-on development and client-facing tasks. She received her master degree (Master of Science in Applied Computing) from University of Toronto. She has experience in healthcare, financial services, oil & gas, and retailing industries. Her goal is to use technical and analytical skills to help clients address business problems and make a real impact. @@ -5322,36 +5323,50 @@ bf197b89-6a07-4c6f-9eaa-b281344df5c0,adil.asif@mail.utoronto.ca,Muhammad Adil,As 16f8b225-af0a-4420-b9ab-944456f88133,spssaini@uwaterloo.ca,Saloni,Saini,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Master of Health Informatics student ,"Hi, I am currently a Master of Health Informatics student at the University of Waterloo, with a special interest in Information Technology and data management and analysis. I am looking forward to sharing my insights and ideas with the team at your company. Saloni Saini ",647-988-7330,,,,https://www.linkedin.com/in/saloni-saini-969324185/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/16f8b225-af0a-4420-b9ab-944456f88133/resume,Brampton,Ontario,,Canada,,2021-02-25T19:42:49.641Z,2021-02-28T17:20:37.505Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,University of Waterloo,Already Graduated,,Miss.,https://www.linkedin.com/in/saloni-saini-969324185/,"Bioinformatics, Data science, Healthcare and/or medical imaging",Graduate Degree (Masters),Entry Level (0-2 Years),Masters in Health Informatics,"Health, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op, Contract",,University of Waterloo,True,False,True,True -5e011cd6-a349-4897-8a5e-e25157f8daef,s.nakhodchi@gmail.com,Sanaz ,Nakhodchi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,"M.Sc Computer Science, CyberScience Lab",,,,,,https://www.linkedin.com/in/sanaz-nakhodchi-76221853/,,True,False,,,,,,,2020-11-03T20:24:51.646Z,2020-11-04T14:08:54.913Z,False,False,Recognized Masters Program,Yes,Other/Unsure,ON,Already Graduated,I am a master student at University of Guelph and I will have defense session by the end of Fall 2020,Miss.,https://www.linkedin.com/in/sanaz-nakhodchi-76221853/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,"Education, Financial Services, Health, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Contract",,University of Guelph,True,False,True,True 81f150b2-36f9-4c53-800f-0c156e9dab1f,rouzyd@gmail.com,Rouzbeh,Meshkinnejad,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,MSc of Computer Science Student at Western with Vector Institute Collaborative Specilaization in AI,,+12269770564,,,,https://www.linkedin.com/in/rouzbeh-meshkinnejad-8827347b/,meshkinrouzbeh,True,False,https://canadaai.jobboard.io/api/v1/profiles/81f150b2-36f9-4c53-800f-0c156e9dab1f/resume,London,Ontario,,Canada,,2021-09-01T20:47:28.547Z,2021-09-23T02:45:47.422Z,False,False,Recognized Masters Program,Yes,Vector Scholarship Recipient,Dr. Yalda Mohsenzadeh,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/rouzbeh-meshkinnejad-8827347b/,"Deep learning, Natural language processing, Neuroscience",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science with Vector Institute Collaborative Specialization in AI,"Construction or Infrastructure, Education, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Telecommunications, Transportation, Type of Work is More Important to me than Sector",Internship,"Data Scientist, Machine Learning Researcher/Scientist , Other ",Western University,True,False,True,True f7c7f004-70f2-4a7d-ab9a-6db0603e4be6,siyan.zhao@mail.utoronto.ca,Siyan,Zhao,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-11-13T00:48:14.550Z,2020-11-13T00:48:14.591Z,False,False,Connected to Vector Research,Yes,Other/Unsure,Ontario,Already Graduated,I was previously study under Jimmy Ba and Bradly Stadie,Ms.,https://www.linkedin.com/in/siyanzhao/,,Undergraduate Degree (Bachelors),Mid-Level (3-5 Years),engineering science,"Software, Technology (Product Development)","Internship, Co-op, Contract",,University of Toronto,True,True,True,True 1d27adc8-e24c-430a-8737-9c4a2c84ed66,ratan.debnath3417@gmail.com,Ratan,Chandra Debnath,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,Data Analyst,19022133417,,,,https://www.linkedin.com/in/ratan-chandra-debnath-b717801a2/,,True,False,,Halifax,Nova Scotia,,Canada,,2021-08-24T21:14:47.358Z,2021-08-25T14:25:25.521Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,NS,Already Graduated,,Mr.,https://www.linkedin.com/in/ratan-chandra-debnath-b717801a2/,,High School,Entry Level (0-2 Years),It Data Analytics,,"Full Time, Internship, Co-op","Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer",Other,True,True,True,True 1c8f0443-b6bd-4201-9ce5-f6ffc2e9f9f5,dave2480@mylaurier.ca,Karan Vijay,Dave,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/1c8f0443-b6bd-4201-9ce5-f6ffc2e9f9f5/resume,,,,,,2021-03-25T17:43:21.923Z,2021-03-25T17:43:21.949Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,,Mr.,https://www.linkedin.com/in/karan-dave-811413164/,"Computer vision, Deep learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Applied Cpmputing,,"Full Time, Internship, Co-op","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Wilfrid Laurier University,True,True,True,True e31ac039-43c2-4ba7-bd01-7a94cc283d42,gabrielle.gao20@rotman.utorobto.ca,Gabrielle,Gao,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-04T14:25:41.481Z,2019-12-04T14:25:41.519Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Ms.,https://www.linkedin.com/in/gabrielle-ge-gao-33612514a/,,,,Master of Management Analytics,Financial Services,Full Time,,University of Toronto,True,True,True,True 4b0a3f53-81b0-4b75-8747-829fa7bfa14b,n.elharoufi@hotmail.com,Natacha,El-Haroufi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/natacha-elharoufi,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4b0a3f53-81b0-4b75-8747-829fa7bfa14b/resume,,,,,,2021-09-09T16:02:07.063Z,2021-09-09T16:02:07.101Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/natacha-elharoufi/,"Optimization, Recommender systems, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Health Informatics,"Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector",Internship,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Other ",University of Toronto,True,True,True,True +4c09ac2c-9f78-4a14-8e43-a390fd7da6b9,khalid277144@gmail.com,Khalid,Saifullah,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-02-09T17:46:58.986Z,2022-08-30T23:03:23.209Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/md-khalid-saif/,,,,,,,,,True,False,True,True +30370a48-ce16-495d-9811-dfb14cfebfaa,ctser@cs.toronto.edu,Cher-Tian,Ser,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-11-29T19:18:19.115Z,2022-11-29T19:18:19.158Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Alan Aspuru-Guzik,Other/Undetermined,,Mr.,N/A,"Interpretability, Machine learning, Physics",Postgraduate Degree (PhD),Entry Level (0-2 Years),PhD (Direct Entry),,"Full Time, Internship","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True 62fded4d-0805-4a83-8e33-482892be65be,anika01@gmail.com,Anika,Tabassum,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-03T19:32:38.257Z,2020-07-21T01:32:28.404Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Ms.,https://www.linkedin.com/in/anikatabassum/,,,,MSc Data Science and Analytics,,"Full Time, Internship, Contract, Capstone Project",,Ryerson University,True,True,True,True -498555e5-420d-4f8c-8552-9a510c3281e8,vpate029@uottawa.ca,Vaibhav,P,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Experience Machine Learning Researcher/Engineer,,,,,,https://www.linkedin.com/in/vaibhavpatel11/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/498555e5-420d-4f8c-8552-9a510c3281e8/resume,Ottawa,Ontario,,Canada,,2021-12-22T19:56:41.863Z,2022-01-17T17:48:26.634Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/vaibhavpatel11/,"Anomaly detection, Computer vision, Deep learning, Few-shot learning, Generative modeling, Online learning, Optimization, Robotics, Transfer learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Engineering- Electrical and Computer Engineering,"Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development)","Full Time, Contract","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",University of Ottawa,True,True,True,True -628c3194-463c-4ca6-aa01-c4bc72126dff,fallon.scf@gmail.com,Stephen-Caleb,Fallon,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-12-22T19:56:57.544Z,2021-12-30T02:28:07.958Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/stephen-caleb-fallon/,,,,,,,,,True,True,True,True +5d94e414-7198-48f6-9330-3e8c0977fd0b,amtul.h.ayesha@gmail.com,Amtul Haq,Ayesha,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Full Stack Software Engineer and Data Scientist,"A professional and self-motivated technologist with 8 years of experience in planning, designing, +developing, and implementing state-of-the-art software solutions. Specialist in enhancing existing +systems and proposing insightful solutions keeping up with latest technologies to maximize business +productivity. Capable of handling multiple projects interfacing between business and technology teams ensuring timely product delivery. +Seasoned full stack developer with experience in working with Python, C#, .Net, Java, HTML5, CSS, +Bootstrap, jQuery, Javascript, React, Angular JS, JSON, SQL & NoSQL databases, RESTful services, +Amazon web services, and google cloud platform. Expertise in deploying containerized applications on Windows and Linux servers. Architected and developed products in various industries such as hospitality, FMCG, retail, healthcare, and medical insurance. +Currently pursuing MSc in Vector Institute Recognized AI program (https://vectorinstitute.ai/ ). Expected to graduate in March 2022.",6479135141,,,,https://www.linkedin.com/in/amtul-haq-ayesha/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5d94e414-7198-48f6-9330-3e8c0977fd0b/resume,Toronto,Ontario,,Canada,,2022-03-07T20:05:26.592Z,2022-03-07T22:20:55.833Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mrs.,www.linkedin.com/in/amtul-haq-ayesha,"Machine learning, Transfer learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Senior Level (5+ Years),Field of Study in Artificial Intelligence,Type of Work is More Important to me than Sector,"Full Time, Contract","Data Architect, Machine Learning Engineer, Software Engineer",Queen's University,True,True,True,True +c860d156-1ba8-4f42-a8a0-6429061169c3,joseph.adelakun@ontariotechu.net,Joseph,Adelakun,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/joseph-adelakun-79a184174/,,True,False,,,,,,,2021-12-22T19:56:11.589Z,2022-01-04T18:44:42.630Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/joseph-adelakun-574a219a,"Computer vision, Data science, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Information Technology Security (AI Specialization),"Financial Services, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development)","Internship, Co-op","Data Scientist, Machine Learning Engineer",OntarioTech University,True,True,True,True +6e9eb117-aa84-46bc-b709-001b5b071d66,19sh46@queensu.ca,Shuyi,Hui,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,https://github.com/SueyiHui,,https://www.linkedin.com/in/shelleyshuyi/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6e9eb117-aa84-46bc-b709-001b5b071d66/resume,,,,,,2020-12-09T19:22:46.807Z,2020-12-09T19:22:46.844Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,No Selection,Already Graduated,,Miss.,https://www.linkedin.com/in/shelleyshuyi/,"Data science, Healthcare and/or medical imaging, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management Analytics,"Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True 1ccdb3a1-029f-421e-98b4-e8d539e07444,khalid21@uwindsor.ca,Muhammad,Khalid,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Graduate Student (UWindsor),Graduate Student at university of Windsor with industrial experience in Machine Learning and Web Development. Currently pursuing my research in the field of NLP and Deep Neural Networks.,2265599002,,https://github.com/M-MoeedKhalid,,https://www.linkedin.com/in/muhammadmoeedkhalid/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/1ccdb3a1-029f-421e-98b4-e8d539e07444/resume,London,Ontario,,Canada,,2021-06-02T13:19:19.569Z,2021-07-22T18:11:18.911Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,No Selection,Already Graduated,,Mr.,https://www.linkedin.com/in/muhammadmoeedkhalid/,"Data science, Deep learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Masters in Computer Science (Artificial Intelligence Stream),"Education, Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Internship, Co-op","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Windsor,True,True,True,True 8612d32e-4ae4-4242-a3e6-2d270f2d40fd,cxing95@eecs.yorku.ca,Chenxing,Zheng,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8612d32e-4ae4-4242-a3e6-2d270f2d40fd/resume,,,,,,2021-07-23T06:38:46.436Z,2021-07-23T06:38:46.472Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/chenxing-zheng-5b4043172/,"Deep learning, Natural language processing, Transfer learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Technology (Information and Media), Type of Work is More Important to me than Sector","Full Time, Internship","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",York University,True,True,True,True -c9f2fabb-aa4d-425e-a8c9-141ecb9c40a4,farshid.ae@gmail.com,Farshid,Jamali,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Scientist,,4169960580,,https://farshidjamali.github.io/,,https://www.linkedin.com/in/farshidjamali/,,True,False,,Toronto,Ontario,,Canada,,2020-10-30T15:30:40.079Z,2021-06-08T22:00:19.918Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/farshidjamali/,"Computer vision, Data science, Deep learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Business Analytics,"Education, Health, Manufacturing , Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation",Full Time,"Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",York University,True,True,True,True -79baaf79-8c94-4931-b22e-1b2c85143b7d,yz4chen@uwaterloo.ca,YINGZHE,CHEN,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,5195039897,,,,https://www.linkedin.com/in/yingzhe-chen-4801a293/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/79baaf79-8c94-4931-b22e-1b2c85143b7d/resume,Toronto,Ontario,,Canada,,2020-10-30T15:30:42.513Z,2020-11-04T18:22:37.359Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/yingzhe-chen-4801a293/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Data Science and Artificial Intelligence,"Financial Services, Software, Technology (Product Development)","Full Time, Internship, Co-op",,University of Waterloo,True,True,True,True -920c68da-07cc-46fb-95ce-3680ff8ada35,20rhk@queensu.ca,Ruslan,Kain,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-10-30T15:30:42.583Z,2020-11-05T17:04:59.595Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/ruslan-kain-3527aa130/,,,,,,,,,True,True,True,True -c8af5170-d4a1-48d9-9937-fd15c5126717,c378zhan@uwaterloo.ca,Chi,Zhang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,4168352731,,,,https://www.linkedin.com/in/cz1235/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c8af5170-d4a1-48d9-9937-fd15c5126717/resume,Toronto,Ontario,,Canada,,2020-09-17T16:54:29.958Z,2020-09-19T18:32:42.236Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/cz1235/,,Graduate Degree (Masters),Entry Level (0-2 Years),Statistics,"Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract",,University of Waterloo,True,True,True,True -3b4b14de-5c39-4120-a3a9-c9e522790c18,hello.pulkitmadan@gmail.com,Pulkit,Madan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3b4b14de-5c39-4120-a3a9-c9e522790c18/resume,,,,,,2022-02-17T06:55:12.688Z,2022-02-17T06:55:12.722Z,False,False,Connected to Another AI Institute,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/madanpulkit/,"Computer vision, Deep learning, Self-supervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science (machine learning),,Internship,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",OntarioTech University,True,True,True,True -3e847d62-4ec1-4e8a-afcb-ae628d85b2f4,mhfzarandi@gmail.com,Mohammad H.,Fazel Zarandi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-10-29T21:47:11.264Z,2020-10-29T21:47:11.286Z,False,False,Not Affiliated with Vector,No,Post Graduate Affiliate,,Already Graduated,,Dr.,https://www.linkedin.com/in/mohammad-m-fazel-zarandi-77585a1a/?originalSubdomain=ca,,Postgraduate Degree (PhD),Senior Level (5+ Years),Artificial Intelligence,"Education, Manufacturing , Professional Services (e.g Consulting)",Full Time,,University of Toronto,True,False,True,True -175b7521-10f0-4470-a911-91cf86172512,hello@sejin.kim,Sejin,Kim,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-10-23T13:10:34.134Z,2020-10-23T14:13:43.820Z,False,False,Connected to Vector Research,Yes,,,,,,N/A,,,,,,,,,True,True,True,True -f9a37452-d5ad-4ac5-b1a5-d47cf2ad5315,litosli@mie.utoronto.ca,hanze,li,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-11-03T05:46:11.162Z,2020-11-03T05:46:11.195Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Prof. Scott Sanner,Already Graduated,,Mr.,https://www.linkedin.com/in/litos-hanze-li/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Robotics Engineer,"Software, Technology (Information and Media)","Full Time, Internship, Contract",,University of Toronto,True,False,True,True -9cc2c7fa-4b7c-4d4c-a94c-928320390528,21rss10@queensu.ca,Ramandeep Singh,Sarna,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-04-02T18:24:52.589Z,2022-04-02T18:24:52.621Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,N/A,"AI safety, Law, ethics and policy, Robotics",Graduate Degree (Masters),Senior Level (5+ Years),Management Analytics,,Full Time,Product/Project Manager,Queen's University,True,True,True,True +f79165fe-d99d-4ca8-8344-7ab9923531af,dzisu2@gmail.com,David,Zisu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-05-04T15:06:59.142Z,2021-05-06T15:47:21.259Z,False,False,Recognized Masters Program,Yes,,,,,,N/A,,,,,,,,,True,False,True,True +17cd5e0d-5ea9-4651-b2ba-28e835a04330,skylar_wang2017@163.com,Skylar,Wang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Schulich MBAN 2022,,,,,,https://www.linkedin.com/in/skylar-wang-523673142/,,True,False,,Toronto,Ontario,,Canada,,2021-06-02T13:19:20.872Z,2021-06-02T13:32:23.003Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mrs.,https://www.linkedin.com/in/skylar-wang-523673142/,,Graduate Degree (Masters),Entry Level (0-2 Years),MBAN,"Financial Services, Professional Services (e.g Consulting), Retail, Technology (Information and Media)","Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Analyst",York University,True,True,True,True +fad90d5b-546d-48e3-8f98-97dbfe720995,bintualkassoum@gmail.com,Bintu,Alkassoum,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Experienced Graduate Research Assistant and AI Consultant (Capstone Project),"I am passionate about problem solving, strategy implementation, and product creation. My academic interests include machine learning ethics, policy, strategy, and management. +To learn more about me, feel free to check out my website: http://www.bintualkassoum.com ",7789602670,,http://www.bintualkassoum.com,,https://www.linkedin.com/in/bintualkassoum/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/fad90d5b-546d-48e3-8f98-97dbfe720995/resume,Toronto,Ontario,,Canada,,2022-05-12T14:22:35.926Z,2022-05-16T20:15:06.229Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Miss.,www.LinkedIn.com/in/bintualkassoum ,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Sociology and Social Justice,"Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship","Machine Learning Researcher/Scientist , Product/Project Manager",York University,True,True,True,True 9f5ef5cc-d045-4544-9695-c12783e67203,lhy332@gmail.com,Harry,Lee,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-08-13T15:44:08.365Z,2021-08-13T20:22:36.509Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/hoyoun-harry-lee/,,,,,,,,,True,True,True,True -60d8e5f8-1ee2-4dd3-9608-fcc9de9a547f,psanghal@umich.edu,Prashant,Sanghal,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/60d8e5f8-1ee2-4dd3-9608-fcc9de9a547f/resume,,,,,,2021-09-17T02:50:06.600Z,2021-09-17T02:50:06.625Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,"Passionate about AI, recent graduate.",Mr.,https://www.linkedin.com/in/prashant-sanghal/,"Data science, Deep learning, Machine learning, Natural language processing, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Applied Data Science,Type of Work is More Important to me than Sector,Full Time,"Data Scientist, Machine Learning Engineer",Other,True,True,True,True -3a93b3d0-bb8b-49a1-9242-ee819d09703e,mgwoo@uwaterloo.ca,Min Gyu,Woo,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/min-gyu-woo-246907134/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3a93b3d0-bb8b-49a1-9242-ee819d09703e/resume,,,,,,2021-09-19T20:17:57.243Z,2021-09-21T17:51:19.831Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/min-gyu-woo-246907134/,"Data science, Deep learning, Machine learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Data Science and Artificial Intelligence,Type of Work is More Important to me than Sector,Internship,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",University of Waterloo,True,False,True,True -d79c6055-92ad-4091-b526-6e7775dc9d0f,yushi.guan@mail.utoronto.ca,Yushi,Guan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Researcher with experience in Machine Learning Applications and Hardware Acceleration,,,,https://gavinguan95.github.io/,,https://www.linkedin.com/in/gavin-guan-6a1a3591/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d79c6055-92ad-4091-b526-6e7775dc9d0f/resume,,,,,,2020-12-11T22:20:04.887Z,2020-12-11T22:20:04.923Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Winter 2021,,Mr.,https://www.linkedin.com/in/gavin-guan-6a1a3591/,"Adversarial learning, Computer vision, Natural language processing",Graduate Degree (Masters),Senior Level (5+ Years),Electrical and Computer Engineering - Machine Learning,Software,"Full Time, Internship",,University of Toronto,True,True,True,True -a6164ac5-8400-43b6-909f-5700f6f89b56,titas.anciukevicius@gmail.com,Titas,Anciukevičius,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2020-12-29T22:59:53.514Z,2020-12-29T22:59:53.529Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/titas-anciukevicius/,,,,,,,,,True,False,True,True -4f5ee3ec-0168-4855-a7a1-bdfbb1b9dc56,ksun48@uwo.ca,Kangchen,Sun,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Candidate for Master of Data Analytics,,6478661996,,,,https://www.linkedin.com/in/kangchen-sun-5b5b53145,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4f5ee3ec-0168-4855-a7a1-bdfbb1b9dc56/resume,London,Ontario,,Canada,,2021-03-11T00:11:59.687Z,2021-03-11T00:11:59.712Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/kangchen-sun-5b5b53145,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Analytics Program,"Financial Services, Professional Services (e.g Consulting), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op",,Western University,True,False,True,True -d342b3cc-c211-4a81-bb46-128fd252b37b,anishiitm@gmail.com,Anish,Gupta,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Scientist / Product Manager / Consultant,,,,,,,,True,True,https://canadaai.jobboard.io/api/v1/profiles/d342b3cc-c211-4a81-bb46-128fd252b37b/resume,Toronto,Ontario,,Canada,,2021-10-11T19:49:45.975Z,2021-10-11T19:49:46.003Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,N/A,"Data science, Deep learning, Machine learning, Natural language processing, Recommender systems, Time-series forecasting and modelling, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management in Artificial Intelligence,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector",Full Time,"Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Other ",Queen's University,True,True,True,True -e71ac5bb-85ea-41c9-ab2e-58233525786e,eg.ng@mail.utoronto.ca,Edwin,Ng,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-07-12T19:11:41.082Z,2021-10-15T22:37:36.005Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Jonathan Kelly,Spring/Summer 2023,,Mr.,N/A,"Computer vision, Natural language processing, Robotics",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Applied Science,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Contract","Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Toronto,True,True,True,True -e5fcaf60-92ce-46a7-88c6-57e8cf0661cb,dayea.lee@gmail.com,Jessica Da Yea,Lee,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,"Collaborative problem solver with expertise in translating business needs into data and assessing results for business implications, including process improvements, automation of metric reports, extract / transform / load (ETL) integrations, business intelligence modelling, and Software Development Life Cycle (SDLC) management. ",,,,,https://www.linkedin.com/in/dyleejessica/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e5fcaf60-92ce-46a7-88c6-57e8cf0661cb/resume,Toronto,Ontario,,Canada,,2022-03-07T20:05:27.469Z,2022-03-08T15:48:07.986Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Ms.,N/A,"Data science, Interpretability, Optimization, Quantum computing, Time-series forecasting and modelling",Graduate Degree (Masters),Senior Level (5+ Years),Master of artificial intelligence,"Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development)","Full Time, Contract","Data Scientist, Machine Learning Engineer, Product/Project Manager",Queen's University,True,True,True,True +eeb9a6fb-9063-422a-8ef3-35be51a79eb4,arushaellias@gmail.com,Arusha,Ellias,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-05-04T15:07:01.549Z,2021-05-04T15:21:50.311Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/arushaellias/,,,,,,,,,True,True,True,True +119e12ca-b77c-41b4-922b-df1eb1722b23,shermineh.ghasemi@ryerson.ca,Shermineh,Ghasemi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-11-09T21:33:12.606Z,2021-11-10T02:04:09.913Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,,,,,,https://www.linkedin.com/in/sherminehgh/,,,,,,,,,True,True,True,True +ae97958f-c4a0-465b-bc59-1eecb77234ff,mansi.jain@mail.utoronto.ca,Mansi,Jain,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-05-04T15:07:00.779Z,2021-09-02T17:38:42.602Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/mansi-jain-b5b46428,,,,,,,,,True,,True,True +b70a5755-86e4-450e-ae55-313775a37541,saket.deshmukh@ryerson.ca,Saket,Deshmukh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-11-09T21:33:06.188Z,2022-01-04T15:45:50.791Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/saketdeshmukh,,,,,,,,,True,True,True,True +be5e864a-80b7-4f9a-8229-294df1911404,azarepakziab@mun.ca,Seyedeh Asal,Zarepakziabari,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,https://asalzp.github.io/,,https://www.linkedin.com/in/asal-zarepakziabari-100667200/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/be5e864a-80b7-4f9a-8229-294df1911404/resume,,,,,,2022-01-24T18:21:43.684Z,2022-01-24T18:21:43.733Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Winter 2023 (December 2022 - March 2023),Campus career resources,Ms.,https://www.linkedin.com/in/asal-zarepakziabari-100667200/,"AI safety, Computer vision, Machine learning, Reinforcement learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science,"Technology (Information and Media), Technology (Product Development)","Internship, Co-op","Data Analyst, Data Scientist, Machine Learning Engineer, Software Engineer",Other,True,False,True,True +04c27b35-d537-43b5-b77b-8202976faa39,syousefi@uoguelph.ca,Samira,Yousefinaghani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,12268204502,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/04c27b35-d537-43b5-b77b-8202976faa39/resume,Guelph,Ontario,,Canada,,2021-11-23T17:12:41.897Z,2021-11-30T13:34:24.641Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Already Graduated,,Ms.,https://www.linkedin.com/in/samira-y-17054a187/,,Postgraduate Degree (PhD),Entry Level (0-2 Years),Computational Sciences,"Financial Services, Health, Technology (Information and Media)","Full Time, Internship, Co-op","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Guelph,True,True,True,True +d218edb0-9da6-41ff-8946-55f583714c8e,hongjian.gu@umontreal.ca,Hongjian,Gu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d218edb0-9da6-41ff-8946-55f583714c8e/resume,,,,,,2021-10-27T19:54:57.323Z,2021-10-27T19:54:57.398Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/hongjian-gu-607bb9148/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Machine Learning,"Financial Services, Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,False,True,True +e8cf7a1b-0379-4994-b205-9db93fe78f96,andyt@live.ca,Andy,Toulis,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Scientist & Machine Learning Engineer,"Master’s in Machine Learning. 3.5 years of professional experience with Machine Learning & Data Science. +Past: Autonomous Vehicles at Uber, Network Analysis at Facebook, Financial Modeling, Computer Vision, NLP.",647 773 6173,,,,,,True,False,,,,,,,2020-11-13T17:36:24.509Z,2020-11-13T17:36:58.645Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/toulis/,,Graduate Degree (Masters),Mid-Level (3-5 Years),"Computer Science, Machine Learning group","Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,,University of Toronto,True,True,True,True +0286c46c-b7e2-43e0-9694-079fe3e5649d,w@phaseai.com,Wojciech,Gryc,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-01-21T20:58:40.103Z,2021-01-21T20:58:40.154Z,False,False,Internal Staff,Yes,Other/Unsure,N/A,Already Graduated,Exploring,Mr.,https://www.linkedin.com/in/wojciechgryc/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Mathematics,"Construction or Infrastructure, Education, Financial Services","Full Time, Internship",,University of Toronto,True,True,True,True +e1ed628f-0ae8-4114-b9a3-64b8920849bb,sheikhbahaee@gmail.com,Zahra,Sheikhbahaee,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,2269788446,,,,https://www.linkedin.com/in/zahra-sheikhbahaee,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e1ed628f-0ae8-4114-b9a3-64b8920849bb/resume,Waterloo,Ontario,,Canada,,2020-11-26T15:48:18.508Z,2020-11-26T15:48:18.544Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,I am a postdoctoral researcher working with Prof. Hoey,Already Graduated,,Dr.,https://www.linkedin.com/in/zahra-sheikhbahaee,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science,Education,"Full Time, Contract",,University of Waterloo,True,False,True,True +f2016226-4136-4399-9200-dde8ce09b606,20cf6@queensu.ca,Chong,Fu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,4167868365,,,,,,True,False,,Cannington,Ontario,,Canada,,2021-01-10T19:20:33.977Z,2021-01-14T14:20:40.544Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Mr.,N/A,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management in Artificial Intelligence,"Education, Financial Services, Professional Services (e.g Consulting), Retail, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract, Capstone Project",,Queen's University,True,False,True,True +1501e2d6-7e4e-465e-93a4-2d839cd405ab,shaika11@yorku.ca,Abdul,Shaik,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,2899252479,,,,,,True,False,,Toronto,Ontario,,Canada,,2021-08-24T21:14:42.999Z,2021-08-25T14:10:28.731Z,False,False,Recognized Masters Program,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/abdul-asif-shaik-pmp%C2%AE-53032526/,"Data science, Deep learning, Machine learning, Natural language processing, Self-supervised learning, Statistical learning theory, Time-series forecasting and modelling, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Business Analytics,"Construction or Infrastructure, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Telecommunications, Transportation","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer",York University,True,True,True,True +fc2b298e-bccd-409e-ba69-a8a3491c7c08,kaihua.sun@mail.utoronto.ca,Kaihua,Sun,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6476855122,,,,https://linkedin.com/in/kaihua-sun-9b079b14a/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/fc2b298e-bccd-409e-ba69-a8a3491c7c08/resume,,,,,,2021-09-01T20:47:35.626Z,2021-09-02T11:54:05.351Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,Ontario,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/kaihua-sun-9b079b14a/,"Computer vision, Natural language processing",Graduate Degree (Masters),Mid-Level (3-5 Years),MScAC,"Education, Financial Services, Software, Technology (Product Development)",Internship,"Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True +fa6f8e91-47af-4ac6-bc56-8e93007f24e7,rachit.desai@ontariotechu.net,Rachit,Desai,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-01-15T21:13:02.206Z,2021-03-01T02:17:28.019Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/desai-rachit/,,,,,,,,,True,True,True,True +da534cac-41e7-4a61-a92d-21df93432eb8,xyun@uwo.ca,Xinyu,Yun,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-10-30T15:30:43.325Z,2020-10-30T18:28:38.490Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/xinyuyun/,,,,,,,,,True,True,True,True +e4db5880-6937-46bf-8934-4f9f6bad7c5c,asifsk92@schulich.yorku.ca,Abdul Asif,Shaik,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-08-24T21:14:42.870Z,2021-08-25T15:58:41.833Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/abdul-asif-shaik-pmp%C2%AE-53032526/,,,,,,,,,True,True,True,True +0b694acc-2288-428f-9725-9085cbe9e99a,tahir.muhammad@mail.utoronto.ca,Tahir,Muhammad,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2021-02-26T22:17:46.833Z,2021-02-26T22:17:46.848Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/tahir-muhammad-7b534016b/,,,,,,,,,True,True,True,True db46d565-521c-446b-a78b-00cb77247cf0,andrea.sabo@mail.utoronto.ca,Andrea,Sabo,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/andrea-sabo-9165a8101/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/db46d565-521c-446b-a78b-00cb77247cf0/resume,,,,,,2019-12-22T22:38:03.857Z,2020-09-24T13:20:15.266Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,Dr. Babak Taati,Already Graduated,,Ms.,https://www.linkedin.com/in/andrea-sabo-9165a8101/,,Graduate Degree (Masters),Entry Level (0-2 Years),Second-year Masters student,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op",,University of Toronto,True,True,True,True dc235bde-bca3-47f3-9320-244be9665e4e,nndaryl@gmail.com,Daryl,Ndichia,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2019-12-12T02:18:16.819Z,2019-12-12T02:18:17.007Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/daryl-ndichia-11a37561/,,,,,,,,,True,True,True,True 53e18b77-315c-4de7-b8dc-f2db31765a54,carol.guo@outlook.com,Carol,Guo,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,A versatile leader in machine learning and artificial intelligence,"A versatile financial professional and technical leader with a deep understanding of financial products and models. With more than a decade of experience in financial services, specializing in market risk and valuation across multiple asset classes. Coupled with vast expertise working cross-functionally with Business, Quants and Technology implementing trading strategies to generate revenue. I believe in collaborative teamwork and building strong business relationships. I am also currently pursuing a Master degree in Management in Artificial Intelligence.",,,,,,,True,False,,Toronto,Ontario,,Canada,,2019-12-12T04:16:04.642Z,2019-12-12T04:16:04.685Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/carol-guo-mmai/,,,,Master of Management in Artificial Intelligence,Financial Services,Full Time,,Queen's University,True,True,True,True @@ -5438,7 +5453,6 @@ HUMAN SKILLS: • Strong leadership skill • Stakeholder relationship management skill ",6476738027,,,,https://www.linkedin.com/in/Pretom-Ghosh,,False,False,https://canadaai.jobboard.io/api/v1/profiles/2e70e3cc-bf26-43af-96cf-0c055ff0630e/resume,,Ontario,,Canada,,2022-09-09T12:59:59.920Z,2023-04-27T01:23:48.381Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/engr-pretom,"Data science, Deep learning, Generative modeling, Healthcare and/or medical imaging, Machine learning, Time-series forecasting and modelling, Transfer learning",Graduate Degree (Masters),Senior Level (5+ Years),MSc in Data Science and Analytics,"Financial Services, Health, Professional Services (e.g Consulting), Retail, Telecommunications","Full Time, Contract","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Ryerson University,True,True,True,True -aa9f7185-a06d-4016-8b12-c2c91e932e1d,vishakha1203@gmail.com,VISHAKHA,GAUTAM,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Graduate Student @UWindsor | Specializing in AI ,,,,,,https://www.linkedin.com/in/vishakha-g-171724181/,,True,False,,,,,,,2020-10-23T13:26:48.268Z,2023-04-04T16:19:32.874Z,True,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Fall 2022 (August - November),,Ms.,https://www.linkedin.com/in/vishakha-g-171724181/,"Adversarial learning, Computer vision, Data science, Deep learning, Healthcare and/or medical imaging, Machine learning, Natural language processing, Recommender systems, Reinforcement learning, Time-series forecasting and modelling, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),MSc in Artificial Intelligence (Vector recognized AI program),"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Windsor,True,True,True,True 2e525b3a-6499-46d7-ab5c-1c2947cda5cd,kanav.mehra@uwaterloo.ca,Kanav,Mehra,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,AI Researcher,"Hello, I am a graduate student in the David R. Cheriton School of Computer Science at the University of Waterloo, where I am supervised by Professor Kate Larson. My broad research interests lie in the domain of artificial intelligence, computational social science, and multiagent systems, especially where these methods can be applied to study socio-political processes and derive insights for governance, policy-making, and human-system interactions. Previously, I was a Technology Consultant at PwC India. I was also a Data Scientist for DSSG Solve, where we collaborated with the International Water Management Institute to research and analyze social media discourse around extreme weather events. @@ -5457,16 +5471,19 @@ predictive modeling, data processing, and data mining algorithms. ● MSc in Data Science and Analytics. ● Self-motivated, and can lead projects independently. ● Excellent problem solving and analytical skills.",4372554203,,,,https://www.linkedin.com/in/syed-rafayal-02190b209/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/761ba0c7-2764-4ff3-8f00-6d1f726de9a1/resume,Toronto,Ontario,,Canada,,2020-08-13T19:41:03.584Z,2023-05-17T16:12:51.931Z,True,True,Unaffiliated PhD Graduate/Candidate,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,www.linkedin.com/in/syed-mahbub-rafayal-988ba414,"Data science, Deep learning, Machine learning, Natural language processing, Recommender systems, Reinforcement learning, Time-series forecasting and modelling",Graduate Degree (Masters),Mid-Level (3-5 Years),Data Science and Analytics,"Financial Services, Health, Manufacturing , Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Ryerson University,True,True,True,True -2e525b3a-6499-46d7-ab5c-1c2947cda5cd,kanav.mehra@uwaterloo.ca,Kanav,Mehra,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,AI Researcher,"Hello, I am a graduate student in the David R. Cheriton School of Computer Science at the University of Waterloo, where I am supervised by Professor Kate Larson. My broad research interests lie in the domain of artificial intelligence, computational social science, and multiagent systems, especially where these methods can be applied to study socio-political processes and derive insights for governance, policy-making, and human-system interactions. - -Previously, I was a Technology Consultant at PwC India. I was also a Data Scientist for DSSG Solve, where we collaborated with the International Water Management Institute to research and analyze social media discourse around extreme weather events. - -I completed my undergraduate studies in Information Technology at the Indian Institute of Engineering Science and Technology, Shibpur, India, in 2019, where I worked with Professor Saptarshi Ghosh in the field of text summarization.",,,https://kanav-mehra.github.io/,,https://www.linkedin.com/in/kanav-mehra/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/2e525b3a-6499-46d7-ab5c-1c2947cda5cd/resume,Waterloo,Ontario,,Canada,,2022-02-08T22:14:22.170Z,2023-06-18T22:24:17.342Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Kate Larson,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/kanav-mehra/,"AI safety, Game theory, Law, ethics and policy, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),"Masters in Mathematics, Computer Science (Thesis)","Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Waterloo,True,True,True,True -1e9da45f-fbbd-4ab2-a59d-8f4e8e45a1b0,alsaidir@uwindsor.ca,Reem,Al-Saidi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,False,False,,Windsor,Ontario,,Canada,,2021-09-10T17:42:44.826Z,2023-05-03T18:14:44.876Z,True,True,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2024 (August - November),,Ms.,N/A,"Privacy, anonymity, and/or security",Graduate Degree (Masters),Mid-Level (3-5 Years),PhD in Computer Science,"Health, Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Internship, Co-op, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Windsor,True,True,True,True -eb6d0c9a-eba4-4734-bfe5-4248a1d589d4,kimberly.eltanal@gmail.com,Kim,Eltanal,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/kimberlyeltanal/,,True,False,,,,,,,2023-06-20T02:47:08.724Z,2023-06-20T02:47:08.759Z,True,True,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Fall 2024 (August - November),,Ms.,https://www.linkedin.com/in/kimberlyeltanal/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Digital Product Management (MDPM),Technology (Product Development),"Full Time, Internship, Contract","Product/Project Manager, Other ",Queen's University,True,True,True,True -43c81724-ae9c-4bb9-a702-7b122d79a8a3,saikondakrishna@gmail.com,Krishna Tarun,Saikonda,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-06-27T16:45:59.575Z,2023-06-27T16:45:59.614Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Mr.,N/A,"Deep learning, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Electrical and computer engineering,"Financial Services, Health, Manufacturing , Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation","Full Time, Internship","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer",University of Waterloo,True,True,True,True -5613bc00-c0c8-4ba4-8e5a-40fe6bc63b07,finlay@dal.ca,Finlay,Miller,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,http://finlaymiller.com,,https://www.linkedin.com/in/finlaymiller,finlaylmiller,False,False,https://canadaai.jobboard.io/api/v1/profiles/5613bc00-c0c8-4ba4-8e5a-40fe6bc63b07/resume,,,,,,2022-12-06T20:44:12.106Z,2023-01-08T14:59:19.950Z,True,True,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Sageev Oore,Winter 2024 (December 2023 - March 2024),"No option to fill out ""Other"" school, I'm at Dalhousie in Halifax.",Mr.,https://www.linkedin.com/in/finlaymiller,"Computational biology, Deep learning, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,"Financial Services, Health, Manufacturing , Software, Technology (Product Development), Type of Work is More Important to me than Sector",Internship,"Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,False,True,True +c443b2b1-1ab2-4922-89e9-47751e25f8dd,anhnguyen.hpvn95@gmail.com,Anh,Nguyen,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Research & Decision Support Analyst,,4168359459,,,,https://www.linkedin.com/in/anh-nguyen2/,,True,False,,Toronto,Ontario,,Canada,,2023-05-31T19:33:33.511Z,2023-05-31T19:33:33.565Z,True,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Spring/Summer 2024 (April - July),,Ms.,https://www.linkedin.com/in/anh-nguyen2/,"Data science, Healthcare and/or medical imaging, Natural language processing, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Mid-Level (3-5 Years),Masters of Management Analytics,"Health, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Product/Project Manager",Queen's University,True,True,True,True +7b780bbd-1ccc-485f-bcf1-27618339dc9b,hosseing@ualberta.ca,ali,gharari,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Machine Learning engineer,,7802032206,,,,https://www.linkedin.com/in/ali-gharari-a61a6a107/,,False,False,,,,,,linkedin,2023-06-05T19:05:56.318Z,2023-06-05T19:17:39.015Z,True,True,Connected to Vector Research,Yes,Other Vector Programming,Rahul G. Krishnan,Already Graduated,Research Intern,Mr.,https://www.linkedin.com/in/ali-gharari-a61a6a107/,"Generative modeling, Recommender systems, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),Computer science,"Financial Services, Health, Software, Technology (Information and Media)","Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,True,True,True +748e9cd3-f31a-4cd7-9300-ea739eebb499,mahsamassoud@gmail.com,Mahsa,Massoud,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,4379700124,,,,,,True,False,,,,,Canada,,2022-06-22T07:30:21.789Z,2023-06-05T19:34:05.062Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Fall 2024 (August - November),,Miss.,https://www.linkedin.com/in/mahsa-massoud-a56948194/,"Computer vision, Data science, Deep learning, Healthcare and/or medical imaging, Machine learning, Natural language processing, Time-series forecasting and modelling, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Financial Services, Health, Professional Services (e.g Consulting), Technology (Information and Media), Transportation","Full Time, Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",York University,True,True,True,True d04d393e-189b-43c6-b56b-31e5da0b0667,mukherjeesaige@gmail.com,Saige,Mukherjee,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Royal Canadian Air Force Pilot in-training,"Hello! My field of study is deep learning, computer vision, and natural language processing. I have experience operating complex real-time systems, such as the Grob 120A aircraft. I designed an attack chain for the MIL-STD 1553 avionics bus and tailored it to a cyber warfare training simulation. My personality is a leader, finishing tasks in an efficient manner while empowering peers to reach their potential.",,,,,https://www.linkedin.com/in/saige-mukherjee-0aba68281/,,False,False,,Toronto,Ontario,,Canada,,2023-07-04T00:57:55.407Z,2023-07-04T00:57:55.467Z,False,False,Not Affiliated with Vector,No,Unsure,,Already Graduated,Applying to recognized Master's programs.,Mr.,https://www.linkedin.com/in/saige-mukherjee-0aba68281/,"Computer vision, Deep learning, Natural language processing",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Engineering,Type of Work is More Important to me than Sector,"Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,True,True,True +ddcb5d24-228c-4d9c-9ed3-a0d82f3abb5b,hodat@yorku.ca,Hoda,Torabi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,False,False,,,,,,,2021-12-22T19:56:25.411Z,2023-07-05T21:49:56.442Z,True,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Dr. Marin Litoiu,Fall 2023 (August - November),,Ms.,https://www.linkedin.com/in/hoda-torabi-94105717/,"Data science, Fairness, Machine learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Second,"Financial Services, Health, Software","Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",York University,True,True,True,True +3bd9d33a-b388-4804-b151-46b8705bfbf6,kdeputy1@laurentian.ca,KINJAL,DEPUTY,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Recent Graduate,,,,,,https://www.linkedin.com/in/kinjal-deputy-05785b153/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3bd9d33a-b388-4804-b151-46b8705bfbf6/resume,Sudbury,Ontario,,Canada,,2023-07-05T23:41:51.512Z,2023-07-05T23:41:51.554Z,True,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/kinjal-deputy-05785b153/,"Deep learning, Machine learning, Transfer learning",Graduate Degree (Masters),Entry Level (0-2 Years),M. Sc. Computational Sciences,Type of Work is More Important to me than Sector,Full Time,"Data Analyst, Data Scientist, Machine Learning Engineer",Laurentian University,True,True,True,True +39e58843-edee-47b9-98c3-89a677e0a526,21kn9@queensu.ca,Khadija,Naeem,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,"Candidate, Master of Management Analytics 2023","A results-driven Data Analytics and Business Intelligence professional who engages external partners, strengthens the corporate brand and delivers against business priorities. I possess exceptional data reporting and visualization skills, which enable me to seamlessly provide key business insights for strategic decision making. Currently, I am a candidate of the MMA Program at Smith School of Business with an interest in Machine Learning, Big Data and Data Visualization, with an expected graduation date of May 2023.",6479886304,,https://github.com/khadijank/portfolio,,https://www.linkedin.com/in/khadija-naeem/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/39e58843-edee-47b9-98c3-89a677e0a526/resume,Toronto,Ontario,,Canada,,2022-08-31T17:18:16.400Z,2022-11-04T16:38:27.267Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Spring/Summer 2023 (April - July),,Ms.,https://www.linkedin.com/in/khadijanaeem-97/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,Type of Work is More Important to me than Sector,"Full Time, Internship, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Other ",Queen's University,True,True,True,True +dc899e37-abf5-4ea0-9a44-4082f2eb5dbe,taozi101@hotmail.com,Bingyi,Jiao,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,5197216835,,,,https://www.linkedin.com/in/bingyi-jiao-6244891a2,,True,False,https://canadaai.jobboard.io/api/v1/profiles/dc899e37-abf5-4ea0-9a44-4082f2eb5dbe/resume,Waterloo,Ontario,,Canada,,2021-12-22T19:56:40.946Z,2022-09-21T02:50:03.932Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/bingyi-jiao-6244891a2/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Data Science and AI,,"Full Time, Internship","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer",University of Waterloo,True,True,True,True +6b25fcdf-198f-4545-aaf6-b815d45c804c,esmat.sahak@mail.utoronto.ca,Esmat,Sahak,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Student Researcher,"I am a fourth year Engineering Science student at University of Toronto majoring in Machine Intelligence. I am interested in machine learning research, particularly natural language processing, and applying such methods to investigate and devise solutions to pressing social issues. I have experience in software development roles at Amazon, Oracle, Cognitive Systems, and RBC. I have been a student researcher at various University of Toronto labs as well as Vector Institute. After completing my undergraduate degree, I hope to complete a thesis-based masters in computer science.",4166961590,,,,https://www.linkedin.com/in/esmat-sahak-777293181/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6b25fcdf-198f-4545-aaf6-b815d45c804c/resume,Toronto,Ontario,,Canada,,2022-10-01T03:28:02.906Z,2022-12-16T17:42:17.303Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Frank Rudzicz,Spring/Summer 2023 (April - July),I am an undergraduate student researcher at Professor Frank Rudzicz's lab.,Mr.,https://www.linkedin.com/in/esmat-sahak-777293181/,"Fairness, Machine learning, Natural language processing",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Engineering Science,Type of Work is More Important to me than Sector,"Internship, Co-op","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +8794064b-b54f-483f-b9a8-6483eec1675d,mkass005@uottawa.ca,Mohammed Awal,Kassim,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,+13435586219,,,,https://www.linkedin.com/in/awal-kassim/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/8794064b-b54f-483f-b9a8-6483eec1675d/resume,Ottawa,Ontario,,Canada,,2022-09-29T00:26:46.276Z,2022-12-07T15:22:00.560Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Spring/Summer 2024 (April - July),,Mr.,https://www.linkedin.com/in/mohammed-awal-kassim-96b23b194/,"Computer vision, Deep learning, Generative modeling, Natural language processing, Transfer learning",Graduate Degree (Masters),Entry Level (0-2 Years),Msc Computer Science: Applied AI,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship","Data Analyst, Data Architect, Data Engineer, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Ottawa,True,True,True,True +527b24e7-179a-474b-bd5d-68e3323b7a50,spate696@uwo.ca,Saad,Patel,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Computer Science Graduate Student at Western University,,(647) 470-9486,,,,https://www.linkedin.com/in/saad-patel/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/527b24e7-179a-474b-bd5d-68e3323b7a50/resume,Toronto,Ontario,,Canada,,2021-09-10T17:42:59.985Z,2023-07-09T00:58:32.801Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/saad-patel,"AI safety, Computer vision, Data science, Deep learning, Generative modeling, Machine learning, Reinforcement learning, Representation learning, Self-supervised learning, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Western University,True,True,True,True +34527a3b-f592-42b2-8ff2-a71e6c5f218c,patelsk9709@gmail.com,Sapana ,Patel,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/sapana-patel-969a8b16a/,,True,False,,,,,,,2023-07-12T15:01:48.149Z,2023-07-12T15:01:48.185Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Miss.,https://www.linkedin.com/in/sapana-patel-969a8b16a/,"Data science, Deep learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),computer Science,"Financial Services, Software, Technology (Information and Media), Technology (Product Development)","Internship, Co-op","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Laurentian University,True,True,True,True +aa9f7185-a06d-4016-8b12-c2c91e932e1d,vishakha1203@gmail.com,VISHAKHA,GAUTAM,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Graduate Student @UWindsor | Specializing in AI ,,,,,,https://www.linkedin.com/in/vishakha-g-171724181/,,True,False,,,,,,,2020-10-23T13:26:48.268Z,2023-07-17T05:49:04.741Z,True,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Fall 2022 (August - November),,Ms.,https://www.linkedin.com/in/vishakha-g-171724181/,"Adversarial learning, Computer vision, Data science, Deep learning, Healthcare and/or medical imaging, Machine learning, Natural language processing, Recommender systems, Reinforcement learning, Time-series forecasting and modelling, Unsupervised learning",Graduate Degree (Masters),Entry Level (0-2 Years),MSc in Artificial Intelligence (Vector recognized AI program),"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",University of Windsor,True,True,True,True 03a64061-a278-4f95-a2c0-a79ed74c1b9d,amiralleyne21@gmail.com,Amir,Alleyne,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-02-09T17:47:27.738Z,,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/amiralleyne/,,,,,,,,,,,, 35c568d4-9e23-44d0-a36e-c9b7f7c11bc5,jamal81@uwindsor.ca,Asim,Jamal,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-02-09T17:47:12.606Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/asimjamal/,,,,,,,,,,,, 04fc2d0e-1259-47cc-9399-c39911977153,pashootan@cs.toronto.edu,Pashootan,Vaezipoor,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-01-13T20:27:34.544Z,,False,False,Connected to Vector Research,Yes,,,,,,https://ca.linkedin.com/in/pashootan-vaezipoor-7353212a,,,,,,,,,,,, @@ -5723,6 +5740,31 @@ d6df494c-9176-46ba-9929-e1fe895ae80d,lesley.milley@ryerson.ca,Lesley,Milley,http 37170e2a-154d-4e1b-8d14-4384fc1298c0,priyanshishah393@gmail.com,Priyanshi,Shah,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-11-03T22:50:05.330Z,2020-11-03T22:50:05.365Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Miss.,https://www.linkedin.com/in/priyanshi-shah393/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master in Computer Science,Type of Work is More Important to me than Sector,Full Time,,University of Windsor,True,True,True,True c3ba7bd3-fe4d-47b9-ba2e-db24c045ef0f,armzn@cs.toronto.edu,Aida,Ramezani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-01-25T21:22:46.948Z,2021-01-27T21:22:53.374Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/aida-ramezani-36a941179/,,,,,,,,,True,True,True,True 01ed807f-4fa4-40a4-87dc-40663b95f00a,boyima98@gmail.com,Boyi,Ma,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://linkedin.com/in/boyima/,,True,False,,,,,,,2021-09-01T20:47:53.326Z,2021-09-01T23:16:42.651Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/boyima/,"Computer vision, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),MScAC,"Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True +d4c5770d-3c8a-4315-80f6-f386222d4de6,ccrespojulio@ryerson.ca,Claudia,Crespo,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-01-10T19:20:34.739Z,2021-01-10T20:36:06.834Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/claudiacrespo/,,,,,,,,,True,False,True,True +592999e1-b1b6-468f-bed0-202a74716fa3,nianfl@outlook.com,Liannian,Li,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-08-24T21:14:43.926Z,2021-08-24T21:22:14.087Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/liannian-li-566a861b9/,,,,,,,,,True,True,True,True +0fcf95be-d4d9-4fc4-a7f9-29fed8c76fd7,ddesai2@lakeheadu.ca,dhruvi,desai,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Software Engineer,,8073576725,,,,,,True,False,,Thunder Bay,Ontario,,Canada,,2019-12-08T05:56:18.135Z,2019-12-08T05:56:18.204Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Ms.,https://www.linkedin.com/in/dhruvi-desai-357a0b177/,,,,Master's in Computer Science,"Financial Services, Retail, Telecommunications","Full Time, Contract",,Lakehead University,True,True,True,True +f68f91c6-c573-4e01-8e86-d9a34a81c40d,ritesh.modi@queensu.ca,Ritesh,Modi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-08T18:01:38.454Z,2019-12-08T18:01:38.498Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/riteshmodi28/,,,,Master of Management Analytics,"Financial Services, Retail, Telecommunications","Full Time, Contract",,Queen's University,True,True,True,True +afd81955-2214-4d20-ba10-b431f4c709fe,waynestark17@gmail.com,Rahul,Dubey,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Artificial Intelligence in Computer Security Student,,6475402411,,,,https://www.linkedin.com/in/rady8in/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/afd81955-2214-4d20-ba10-b431f4c709fe/resume,Oshawa,Ontario,,Canada,linkedin,2019-12-06T00:25:06.670Z,2020-01-15T17:08:44.605Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/rady8in/,,Graduate Degree (Masters),,Master of Information Technology Security - Artificial Intelligence Security,,"Internship, Co-op, Contract, Capstone Project",,OntarioTech University,True,True,True,True +45417ff9-f2df-498a-9f7a-eb797e986eb9,manalivaghani1813@gmail.com,Manaliben,Vaghani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-06T02:19:21.289Z,2019-12-06T02:19:21.326Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,,I got the email from my university,Miss.,Not Found,,,,Master’s in computer science,Telecommunications,Full Time,,Lakehead University,True,True,True,True +752841e8-5ef8-4a58-93b5-61015cd53e58,theivanli@gmail.com,Ivan,Li,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/752841e8-5ef8-4a58-93b5-61015cd53e58/resume,Toronto,Ontario,,Canada,,2019-12-23T03:48:01.677Z,2020-01-22T15:20:49.175Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/ivan-li-68b9965b/,,Graduate Degree (Masters),,Master of Mathematics in Statistics (Data Science Specialization),"Education, Financial Services, Professional Services (e.g Consulting), Retail, Technology (Information and Media), Telecommunications",Full Time,,University of Waterloo,True,True,True,True +98419ab2-922e-4802-ad9e-d1143b4b0990,ethomaas@gmail.com,Edrice,Thomas,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/98419ab2-922e-4802-ad9e-d1143b4b0990/resume,Toronto,Ontario,,Canada,linkedin,2019-12-21T01:38:59.362Z,2019-12-21T01:38:59.382Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/edricethomas/,,,,Master of Management Analytics,,"Full Time, Internship, Co-op, Contract, Capstone Project",,Queen's University,True,True,True,True +a4c641c0-75d1-4e12-a2c3-40d28472dac9,barbosa.antonio@queensu.ca,Antonio,Barbosa,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,905-252-5994,,,,https://www.linkedin.com/in/antonio-barbosaf/,,True,False,,Toronto,Ontario,,Canada,,2019-12-06T18:09:36.165Z,2019-12-06T18:09:36.243Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/antonio-barbosaf/,,,,Master of Management Analytics,"Financial Services, Telecommunications",Full Time,,Queen's University,True,True,True,True +c009a759-7e26-44eb-b627-2ac7c4217f85,huzaifah@yorku.ca,Huzaifah,Sohail,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c009a759-7e26-44eb-b627-2ac7c4217f85/resume,,,,,,2019-12-02T16:56:25.793Z,2019-12-30T05:16:35.118Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Mr.,https://www.linkedin.com/in/huzaifah-sohail/,,,,Master of Business Analytics,"Retail, Telecommunications","Full Time, Internship, Co-op, Contract",,York University,True,True,True,True +1cb280c3-f620-40c6-8ef0-4fc43add8500,johannah.thumb@vectorinstitute.ai,Johannah,Thumb,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,True,,,,,,,2019-10-31T15:54:00.261Z,2019-10-31T15:54:00.284Z,False,False,Internal Staff,Yes,,,,,Miss.,https://www.linkedin.com/in/johannahthumb/,,,,FRHD,,,,University of Guelph,,,True, +02beade6-a554-4f9a-ad0d-da7923ac0f65,heyunhong@sympatico.ca,Yunhong,He,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/02beade6-a554-4f9a-ad0d-da7923ac0f65/resume,,,,,,2019-12-23T17:03:30.242Z,2019-12-23T17:03:30.286Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,,"I got admission offer from University of Michigan for Master of Applied Data Science in Python starting on Jan 8, 2020",Ms.,Not Found,,,,Master of Applied Data Science in Python Online course,Technology (Information and Media),"Full Time, Internship, Co-op, Contract, Capstone Project",,Other,True,True,True,True +ebacfcb3-a00e-46bb-b5d5-a900cf767e89,alexzabbal@gmail.com,alex,zabbal,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-10T06:43:42.598Z,2019-12-10T06:43:42.643Z,False,False,Connected to Another AI Institute,Yes,Other/Unsure,,,Researcher at MILA,Mr.,https://www.linkedin.com/in/azabbal/,,,,Computer Science,"Financial Services, Retail, Telecommunications",Internship,,Other,True,True,True,True +21706325-e8b5-4373-92b7-2fef83a125b6,sanjanasundaram@gmail.com,Sanjana,Sundaram,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2019-12-03T19:21:34.439Z,2019-12-03T19:21:34.476Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,,,Ms.,https://www.linkedin.com/in/sanjanasundaram/,,,,Master of Health Informatics,"Financial Services, Telecommunications","Full Time, Internship, Co-op",,University of Toronto,True,True,True,True +291f5cb3-db15-4098-bbf6-b923e3de81a9,danish_bear@yahoo.com,Daniela,Brandstaetter,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2022-02-25T17:13:35.573Z,2022-02-25T17:13:35.635Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/danielabar/,,,,,,,,,True,False,True,True +f5c0174e-021b-47e7-a1ea-297d1f472a5a,omarhammamieh@hotmail.com,Omar,Hammamieh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,MPharm Graduate,,9052751467,,,,https://linkedin.com/in/omar-hammamieh-3107451ab,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f5c0174e-021b-47e7-a1ea-297d1f472a5a/resume,Mississauga,Ontario,,Canada,,2020-06-23T14:11:35.218Z,2020-06-25T17:14:52.586Z,False,False,Not Affiliated with Vector,No,Other/Unsure,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/omar-hammamieh-3107451ab/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Pharmacy (MPharm),"Health, Professional Services (e.g Consulting)","Full Time, Internship, Co-op, Contract, Capstone Project",,Other,True,True,True,True +923a3e26-53e9-46c5-948f-2bcefd9458cc,alicechen_17@hotmail.com,Alice,Chen,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/923a3e26-53e9-46c5-948f-2bcefd9458cc/resume,Toronto,Ontario,,Canada,,2020-07-11T23:13:27.232Z,2020-07-11T23:13:27.255Z,False,False,Not Affiliated with Vector,No,Student or Postdoc of a Vector Faculty Member,,Already Graduated,,Miss.,https://www.linkedin.com/in/alice-chen-040749129/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Final Year,"Education, Financial Services, Health, Technology (Product Development)","Full Time, Internship",,Ryerson University,True,True,True,True +57352cc8-b95e-4af8-bdf0-0566b7686d48,vshruti94@gmail.com,Shruti,Veluvolu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,"Current Student, Graduating in 2021 - looking for internships/projects","I have a strong passion to learn and curious to develop new skills. Self-starter, motivated, and organized individual with exceptional communication skills. I am a quick learner, highly coachable, and can work well under pressure. I can effectively collaborate with different teams and have a positive impact on the team. Seeking new opportunities to work for an organization where I can learn new skills and bring my strengths and effectively help in growing the business. ",,,,,https://www.linkedin.com/in/shruti-veluvolu,,True,False,,Toronto,Ontario,,Canada,,2020-07-17T15:21:41.109Z,2020-07-17T15:21:41.133Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/shruti-veluvolu/,,Graduate Degree (Masters),Entry Level (0-2 Years),Masters in Management Analytics,"Financial Services, Professional Services (e.g Consulting), Technology (Information and Media), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project",,Queen's University,True,True,True,True +d21d81cc-f184-4ea6-b5af-c7f17fe94a1c,osoh@aimsammi.org,Ornella Lucresse,Soh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Machine Learning engineer,,+250785583767,,,,https://www.linkedin.com/in/ornella-soh-25a760180,,True,False,https://canadaai.jobboard.io/api/v1/profiles/d21d81cc-f184-4ea6-b5af-c7f17fe94a1c/resume,,,,,,2020-07-04T20:49:07.145Z,2020-07-06T23:31:35.351Z,False,False,Not Affiliated with Vector,No,Vector Faculty or Faculty Affiliate,African Master in Machine Intelligence (AMMI) Rwanda,Winter 2021,,Miss.,https://www.linkedin.com/in/ornella-soh-25a760180,,Graduate Degree (Masters),Entry Level (0-2 Years),Machine Learning,"Education, Financial Services, Health","Full Time, Internship",,Other,True,True,True,True +bb613c32-ed67-4d21-b091-36d1ff81581a,alancarnival.liu@mail.utoronto.ca,Alan,Liu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-08-13T19:39:54.696Z,2020-09-24T00:30:17.561Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Rotman School of Management,Already Graduated,,Mr.,https://www.linkedin.com/in/alanliu6/,,Graduate Degree (Masters),Entry Level (0-2 Years),Management in Analytics,"Education, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,,University of Toronto,True,True,True,True +68b8c0ed-6ebe-4860-a104-224eb076f642,y263lu@uwaterloo.ca,Yilin,Lu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/uwyilinlu/,,True,False,,Toronto,Ontario,,Canada,,2020-08-13T19:40:04.921Z,2020-08-14T15:15:48.269Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/uwyilinlu/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Master of Management Analytics,"Financial Services, Manufacturing , Professional Services (e.g Consulting), Retail, Technology (Information and Media), Technology (Product Development)",Full Time,,University of Toronto,True,False,True,True +dc0a308b-faaa-4ef3-90b1-13198da58002,lianxin.yu@rotman.utoronto.ca,Lianxin,Yu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Science Co-op ,,5196943195,,,,https://www.linkedin.com/in/lianxin-yu-1b7ba2149/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/dc0a308b-faaa-4ef3-90b1-13198da58002/resume,Toronto,Ontario,,Canada,,2020-08-13T15:39:49.584Z,2020-09-15T14:26:25.567Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/lianxin-yu-1b7ba2149/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,"Financial Services, Retail, Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,,University of Toronto,True,True,True,True +aff40f89-df0b-4ce8-8eab-ffd04684e5e0,hsamil@aimsammi.org,Hadia,Samil,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/aff40f89-df0b-4ce8-8eab-ffd04684e5e0/resume,,,,,,2020-07-10T21:22:08.351Z,2020-07-10T21:22:08.373Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Miss.,https://www.linkedin.com/in/hadia-samil-bab976197/,,Graduate Degree (Masters),Entry Level (0-2 Years),Machine intelligence,Financial Services,Internship,,Other,True,True,True,True +a2fd3b53-b429-40cc-bfec-040418199166,melody.hi.cheng@gmail.com,Melody,Cheng,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-08-24T15:03:10.697Z,2020-08-24T15:03:10.719Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,,Miss.,https://www.linkedin.com/in/melody-cheng-a4b99433/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Industrial Engineering,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development)",Full Time,,University of Toronto,True,False,True,True +b02a0ebe-3957-4985-bd76-5873725a90a9,18gs28@queensu.ca,Gunpreet,Singh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,519-760-0728,,,,,,True,False,,Toronto,Ontario,,Canada,,2020-07-07T16:21:52.258Z,2020-07-07T16:21:52.280Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/gunpreetsingh04/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Management in AI,"Professional Services (e.g Consulting), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op",,Queen's University,True,True,True,True b100a03c-4ee6-41d0-b5dc-fb0d6c0009ea,verma11t@uwindsor.ca,Nimish,Verma,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/b100a03c-4ee6-41d0-b5dc-fb0d6c0009ea/resume,,,,,,2020-01-20T18:29:52.209Z,2020-01-20T18:36:16.452Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/nimishcodes/,,Graduate Degree (Masters),,MS in CS thesis,"Education, Financial Services, Retail, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Contract",,University of Windsor,True,True,True,True b3e064e8-2c2b-4e8e-962e-168daed5fc9d,ruihanwu16@gmail.com,Ruihan,Wu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-05-07T23:59:25.519Z,2020-05-12T17:28:23.401Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Spring/Summer 2021,,Ms.,https://www.linkedin.com/in/ruihanwu16/,,Graduate Degree (Masters),,Master of Management in Artificial Intelligence,"Financial Services, Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Capstone Project",,Queen's University,True,False,True,True aacf6328-b639-4400-b535-bcc9a8f39936,lih.verma@gmail.com,Nikhil,Verma,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,https://lihkinverma.github.io/portfolio/,,https://www.linkedin.com/in/lihkinVerma/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/aacf6328-b639-4400-b535-bcc9a8f39936/resume,Toronto,Ontario,,Canada,,2021-06-02T13:19:21.680Z,2021-09-21T17:35:37.437Z,False,False,Vector Scholarship Recipient,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/lihkinverma/,"Data science, Deep learning, Machine learning, Natural language processing, Optimization, Recommender systems, Statistical learning theory, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Science in Applied Computing (Data Science),"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Transportation, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True @@ -5785,37 +5827,6 @@ c92fed57-b1db-416e-8e97-c4981157086b,aikansh.jain@rotman.utoronto.ca,Aikansh,Jai 4dd24a46-b0f3-4625-9d9c-054393122cec,4988788@gmail.com,Kamali,Kulma,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/kamali-cfa,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4dd24a46-b0f3-4625-9d9c-054393122cec/resume,,,,,,2020-01-10T22:41:57.994Z,2020-01-22T15:17:23.661Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,Studying AI at U of T Continuing Studies,Mr.,https://www.linkedin.com/in/kamali-cfa,,Graduate Degree (Masters),,2003,"Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't)","Full Time, Internship, Co-op, Contract",,University of Toronto,True,True,True,True 20b1860b-6d37-4335-954e-16914fbbf94d,abdulmustafa@live.com,Abdul,Mustafa,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2020-01-16T23:18:08.979Z,2020-01-16T23:18:09.009Z,False,False,Not Affiliated with Vector,No,,,,,,Not Found,,,,,,,,,True,True,True,True 10dace2c-c4ba-4901-9952-c39243698b0e,choud116@uwindsor.ca,Sami Ali,Choudhry,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,https://sami14996.github.io/samichoudhry-/,,https://www.linkedin.com/in/samialichoudhry/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/10dace2c-c4ba-4901-9952-c39243698b0e/resume,,,,,,2020-01-20T18:51:10.473Z,2020-01-23T16:29:53.943Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/samialichoudhry/,,Graduate Degree (Masters),,Msc in Computer Science,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op",,University of Windsor,True,True,True,True -0e19fb15-eb6b-43ac-9059-d365d37e6263,hardikuppal.hu@gmail.com,Hardik,Uppal,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-10-30T15:30:43.544Z,2020-10-30T22:29:26.445Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/hardikuppal/,,,,,,,,,True,True,True,True -53a391b7-c16c-4f79-8742-8ff8853aedb8,xingzhaoo@gmail.com,Xing (Shane),Zhao,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Machine Learning Engineer/Researcher,"3 years academic research experienced Machine Learning (ML) Engineer with 3 publications, 2 in top-tier conferences and 1 in ML journal, and proven success in designing and building novel algorithms and optimizations on deep neural networks distributed learning. Highly passionate engineer and thriving analyst with the ability to develop ML methods to solve real-world industry problems.",,,http://www.cse.yorku.ca/~xingzhao/,,https://www.linkedin.com/in/xingzhaoo/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/53a391b7-c16c-4f79-8742-8ff8853aedb8/resume,Toronto,Ontario,,Canada,linkedin,2021-04-12T04:42:47.900Z,2021-10-15T02:39:27.556Z,False,False,Recognized Masters Program,Yes,Other/Unsure,,Already Graduated,,Mr.,https://www.linkedin.com/in/xingzhaoo/,"Computer vision, Deep learning, Machine learning, Reinforcement learning",Graduate Degree (Masters),Entry Level (0-2 Years),"Computer Science, Distributed Deep Learning","Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",York University,True,False,True,True -a121e33f-4371-4426-a14e-7161d093ebea,maria.ayk@gmail.com,Maria,Khan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Content Director/Editor/Experienced Project Manager,"Maria Khan is a bilingual content director with a solid track record in helping A-list brands develop thought leadership and make social impact. A journalist by training, Maria brings a decade of experience in producing content for print and online publications in the Middle East, UK and the US. -Passionate about storytelling and societal issues, Maria, has contributed investigative-style stories for print and online publications in the UAE and the UK, and directed and produced several short video and audio documentaries, including a podcast on the role of ethics in Photojournalism for the Monocle24 radio in the UK. -While working for top PR agency FleishmanHillard in the UK, Maria drove thought-leadership platforms and influencer programs for a range of multinational clients, including Philips. She also guided clients on proactive gender pay gap positioning and messaging, authored reports, blogs and OpEds, and organized live social media events. -Maria is an advocate of diversity and inclusion and contributed to a D&I thought leadership study launched at WEF 2020. -Maria has a master’s in international relations from the University of Warwick in the UK, a master's in Journalism from the DePaul University in Chicago, and a diploma in forced migration from Oxford University. -",4166174403,,,,https://www.linkedin.com/in/mariayzk/,mariayzk,True,False,,Toronto,Ontario,,Canada,,2021-01-15T21:13:02.444Z,2021-02-28T14:38:45.719Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,,Ms.,https://www.linkedin.com/in/mariayzk/,"AI safety, Fairness, Healthcare and/or medical imaging, Law, ethics and policy, Online learning, Privacy, anonymity, and/or security, Self-supervised learning",Graduate Degree (Masters),Senior Level (5+ Years),Digital Media Strategy/International Relations/Journalism,"Education, Health, Technology (Information and Media)","Full Time, Co-op, Contract, Capstone Project",,University of Toronto,True,True,True,True -cdb6203b-9951-4df3-a40b-8b59ee0d5067,raunaq.bhalla@rotman.utoronto.ca,Raunaq,Bhalla,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/raunaq-bhalla/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/cdb6203b-9951-4df3-a40b-8b59ee0d5067/resume,,,,,,2021-08-24T16:28:08.134Z,2021-08-24T16:28:08.174Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/raunaq-bhalla/,"Data science, Healthcare and/or medical imaging, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics (MMA),"Financial Services, Professional Services (e.g Consulting), Retail, Technology (Product Development)",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -4d7f3f5d-0067-4784-802c-fea73caa6dba,ali.cheraghi@mail.utoronto.ca,Ali,Cheraghi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,"Currently fifth-year PhD student in mathematics at University of Toronto. -Previously studied BSc of mathematics at Sharif University of Technology.",6478793375,,http://individual.utoronto.ca/cheraghi/,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4d7f3f5d-0067-4784-802c-fea73caa6dba/resume,Toronto,Ontario,,Canada,,2021-11-26T03:50:02.904Z,2021-12-09T03:27:54.670Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,"PhD student of mathematics, University of Toronto",Mr.,https://www.linkedin.com/in/ali-cheraghi-9a9395214/,"Data science, Deep learning, Machine learning",Postgraduate Degree (PhD),Entry Level (0-2 Years),Mathematics,"Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,True,True,True -e6f4db3c-8790-4d9b-a8fa-f0966058fc97,baribefe@gmail.com,Emmanuel,Naziga,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6473335059,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/e6f4db3c-8790-4d9b-a8fa-f0966058fc97/resume,Toronto,Ontario,,Canada,,2020-10-22T15:08:46.538Z,2020-10-22T15:08:46.570Z,False,False,Not Affiliated with Vector,No,Other/Unsure,No,Already Graduated,No affiliated,Dr.,https://www.linkedin.com/in/naziga/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Theoretical and Computational Science,"Financial Services, Health, Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications",Full Time,,Other,True,True,True,True -a5f13b7f-2d9b-41f4-85e4-ec428f6ec177,kevin.ryczko@uottawa.ca,Kevin,Ryczko,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-11-04T18:39:55.364Z,2020-11-16T20:01:05.846Z,False,False,Connected to Vector Research,Yes,Post Graduate Affiliate,Isaac Tamblyn,Already Graduated,,Mr.,https://www.linkedin.com/in/kryczko/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Physics / Deep Learning,"Education, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship",,University of Ottawa,True,False,True,True -44924c4a-b50d-4741-9537-59f181729ddc,solaiappanaravind@gmail.com,Solaiappan,Alagappan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Graduate Student,"An adventure loving person,interested in learning new things. A team player and an amiable person. I am a hard working candidate who believes 'hard work can beat talent'. All through my professional and personal encounters, I hope to make people's life around me better.",7358790403,,https://solaiappanaravind.wixsite.com/aravindsolaiappan,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/44924c4a-b50d-4741-9537-59f181729ddc/resume,Waterloo,Ontario,,Canada,,2020-05-06T18:01:43.639Z,2020-05-07T03:40:55.165Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,Not Found,,Graduate Degree (Masters),,Master of Mathematics in Computer Science,Software,Internship,,University of Waterloo,True,True,True,True -d14dab6a-1523-4cce-95a1-e5cf232809e4,catchpushkar@gmail.com,Pushkar,Pushkar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6479155143,,,,,L6H6G3,True,False,,Toronto,Ontario,,Canada,,2020-02-28T13:09:50.670Z,2020-02-28T13:09:50.698Z,False,False,Not Affiliated with Vector,No,Other/Unsure,ONTARIO,Already Graduated,,Mr.,Not Found,"Computer vision, Deep learning, Reinforcement learning",Graduate Degree (Masters),Senior Level (5+ Years),Machine Learning,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Product Development)","Full Time, Internship, Co-op, Contract, Capstone Project","Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,True,True,True -dbf5a4ef-cf26-476e-8dc4-6c0841b24025,t22pan@uwaterloo.ca,Ting,Pan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/cnpanting/,,True,False,,,Ontario,,Canada,,2020-09-04T14:57:50.388Z,2020-09-04T15:22:49.211Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Ms.,https://www.linkedin.com/in/cnpanting/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Data Science and Artificial Intelligence,"Financial Services, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op",,University of Waterloo,True,True,True,True -7965225c-6ee8-48c5-9773-71b76f62374b,james73@hotmail.ca,James,Wilson,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-11-07T14:11:33.963Z,2021-11-07T14:11:34.032Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,N/A,"Anomaly detection, Law, ethics and policy, Wearable technology and/or Internet of Things",College Diploma,Entry Level (0-2 Years),Artificial intelligence architecture design at Georgian college post graduate diploma,"Professional Services (e.g Consulting), Public Administration (i.e Gov't), Technology (Product Development), Telecommunications, Transportation","Full Time, Internship, Co-op, Contract","Data Scientist, Machine Learning Researcher/Scientist , Product/Project Manager",Other,True,True,True,True -5705bad1-98cd-436b-845e-c3c7ef5f6c27,pmgillic@uwaterloo.ca,Peter,Gillich,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-01-13T20:27:30.261Z,2022-01-22T22:32:14.378Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/peter-gillich-b84730201/,,,,,,,,,True,,True,True -272e1d15-8c5e-479e-9763-18b6e5fed31c,jeannemarie.alfonso@mail.utoronto.ca,Jeanne-Marie,Alfonso,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2019-12-03T16:33:41.064Z,2019-12-03T16:33:41.079Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/jeannemariealfonso/,,,,,,,,,True,True,True,True -9509831b-3197-4879-b891-5838b925e396,evan.morton7@gmail.com,Evan,Morton,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Experienced Professional with Analytics and Finance Experience,,403 975-6550,,,,https://www.linkedin.com/in/evan-morton-cfa-78bb6324,,True,False,https://canadaai.jobboard.io/api/v1/profiles/9509831b-3197-4879-b891-5838b925e396/resume,Toronto,Ontario,,Canada,,2020-01-25T18:55:12.963Z,2020-01-25T18:55:12.987Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/evan-morton-cfa-78bb6324,,Graduate Degree (Masters),,Business Analytics,"Financial Services, Manufacturing , Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector",Full Time,,York University,True,True,True,True -3daa44b3-05f3-4d91-9ba4-3d66a5f7ab89,jeremy.fongsanpin@gmail.com,Jeremy,Fong San Pin,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Insight AI fellow,,15149986556,,,,https://linkedin.com/in/jeremyfongsanpin,,True,False,https://canadaai.jobboard.io/api/v1/profiles/3daa44b3-05f3-4d91-9ba4-3d66a5f7ab89/resume,,Ontario,,Canada,,2020-06-09T21:36:45.671Z,2020-06-09T21:37:14.598Z,False,False,Not Affiliated with Vector,No,Other/Unsure,CA,Already Graduated,Was referred to this job posting by a friend who is a member of Vector Institute,Mr.,https://linkedin.com/in/jeremyfongsanpin,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Mechanical engineering,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Contract",,Other,True,True,True,True -6b07d78f-5428-4aa6-8645-131c64bddc30,ragireddycharan223@gmail.com,Charan,Reddy,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-03-05T21:18:11.620Z,2020-03-05T21:18:11.651Z,False,False,Connected to Another AI Institute,Yes,Other/Unsure,,Already Graduated,"I am a student at Mila Lab, Montreal. I am from University of Montreal, but in the application I have mentioned UofT as there is no option of Univ of Montreal",Mr.,https://www.linkedin.com/in/sricharanreddy/,,Graduate Degree (Masters),,Research Masters in Machine Learning,"Education, Health, Software",Internship,,Other,True,True,True,True -a8ba3b0d-a0a7-483d-8477-9196430eb35b,nichalowe@hotmail.com,NICHALOWE ,TAYLOR ,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,"Highly organized, performance-driven, detailed oriented and self-motivated IT Security student.","Seeking to grow and advance my technical skills and expertise to help resolve complex security challenges in the position of a Security Analyst/Cyber Security Analyst intern. Possesses great communication and presentation skills, strong attention to detail, and significant ability to work in cross-functional teams. ",,,,,https://www.linkedin.com/in/nichalowetaylor/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a8ba3b0d-a0a7-483d-8477-9196430eb35b/resume,Toronto,Ontario,,Canada,,2019-12-23T17:54:38.920Z,2020-01-13T16:50:30.340Z,False,False,Connected to Vector Research,Yes,Post Graduate Affiliate,ONTARIO TECH UNIVERSITY,Already Graduated,,Mr.,https://www.linkedin.com/in/nichalowetaylor/,,Graduate Degree (Masters),,Msc. Information Technology Security,"Financial Services, Health, Public Administration (i.e Gov't), Technology (Information and Media), Telecommunications","Internship, Co-op, Contract",,OntarioTech University,True,True,True,True -940e0ce8-9c7e-47fe-94db-370e6bc47ff0,troywilliamsna@gmail.com,Troy,Williams,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2019-12-25T08:50:31.157Z,2019-12-25T08:50:31.182Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/troy-williams-49367115/,,,,,,,,,True,False,True,True -38c7db0b-8efd-438b-9d12-e052c63f9e2a,devika.kabe@gmail.com,Devika,Kabe,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Master's Student,,,,,,https://ca.linkedin.com/in/devikakabe,,True,False,,,,,,,2020-04-12T20:38:19.258Z,2020-04-12T20:38:19.280Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Ms.,https://ca.linkedin.com/in/devikakabe,,Undergraduate Degree (Bachelors),,Data Science,,Full Time,,Ryerson University,True,False,True,True -c92fed57-b1db-416e-8e97-c4981157086b,aikansh.jain@rotman.utoronto.ca,Aikansh,Jain,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Technology Strategy | Product Management,,6479961887,,,,https://www.linkedin.com/in/aikansh-jain/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c92fed57-b1db-416e-8e97-c4981157086b/resume,Toronto,Ontario,,Canada,,2020-05-28T20:15:38.417Z,2020-08-19T15:41:47.602Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Spring/Summer 2021,MBA Candidate at the Rotman School of Management with a focus on Innovation Strategy and Marketing,Mr.,https://www.linkedin.com/in/aikansh-jain/,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Business Administration,"Education, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project",,University of Toronto,True,True,True,True -58306e51-f677-4070-bf91-612eeb93b57f,litos.li@mail.utoronto.ca,Hanze,Li,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-06-23T13:07:04.034Z,2020-06-23T13:07:04.054Z,False,False,Connected to Vector Research,Yes,Vector Faculty or Faculty Affiliate,Scott Sanner,Already Graduated,,Mr.,https://www.linkedin.com/in/litos-hanze-li/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Robotics Engineer,Software,"Full Time, Internship, Contract",,University of Toronto,True,False,True,True -2efdc264-bc45-45ef-ab5d-9f9f479393e5,kaulp@uwindsor.ca,Pallavi,Kaul,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/pallavi-kaul-02bbbb144,,True,False,,,,,,,2020-01-20T18:46:46.163Z,2020-01-20T18:46:46.188Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2021,,Ms.,https://www.linkedin.com/in/pallavi-kaul-02bbbb144,,Graduate Degree (Masters),,MSc-Computer Science,"Education, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Contract, Capstone Project",,University of Windsor,True,True,True,True -4dd24a46-b0f3-4625-9d9c-054393122cec,4988788@gmail.com,Kamali,Kulma,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/kamali-cfa,,True,False,https://canadaai.jobboard.io/api/v1/profiles/4dd24a46-b0f3-4625-9d9c-054393122cec/resume,,,,,,2020-01-10T22:41:57.994Z,2020-01-22T15:17:23.661Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,Studying AI at U of T Continuing Studies,Mr.,https://www.linkedin.com/in/kamali-cfa,,Graduate Degree (Masters),,2003,"Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't)","Full Time, Internship, Co-op, Contract",,University of Toronto,True,True,True,True -20b1860b-6d37-4335-954e-16914fbbf94d,abdulmustafa@live.com,Abdul,Mustafa,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2020-01-16T23:18:08.979Z,2020-01-16T23:18:09.009Z,False,False,Not Affiliated with Vector,No,,,,,,Not Found,,,,,,,,,True,True,True,True -10dace2c-c4ba-4901-9952-c39243698b0e,choud116@uwindsor.ca,Sami Ali,Choudhry,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,https://sami14996.github.io/samichoudhry-/,,https://www.linkedin.com/in/samialichoudhry/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/10dace2c-c4ba-4901-9952-c39243698b0e/resume,,,,,,2020-01-20T18:51:10.473Z,2020-01-23T16:29:53.943Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/samialichoudhry/,,Graduate Degree (Masters),,Msc in Computer Science,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op",,University of Windsor,True,True,True,True 2e766527-d5f1-4c69-a897-719e078d9346,abarro@aimsammi.org,Abdoulaye,Barro,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,"Experienced with Data science and software development , high level languages, and frameworks to cut development time and improve code quality and also debugging code.",,2.51E+11,,,,,,True,True,https://canadaai.jobboard.io/api/v1/profiles/2e766527-d5f1-4c69-a897-719e078d9346/resume,,,,,,2020-06-23T09:37:15.206Z,2020-06-23T09:37:15.227Z,False,False,Not Affiliated with Vector,No,,,,,,https://www.linkedin.com/in/abdoulaye-barro-4034b813a/,,,,,,,,,True,True,True,True c5e66f64-092d-498f-814d-e2aa9f501f55,shivanika.shah@gmail.com,Shivanika,Shah,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Master of Data Analytics (Artificial Intelligence) candidate * Software Developer * Artificial Intelligence * Machine Learning,,2264480816,,,,https://www.linkedin.com/in/shivanikashah/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/c5e66f64-092d-498f-814d-e2aa9f501f55/resume,London,Ontario,,Canada,,2021-11-09T21:33:07.674Z,2022-02-02T19:02:05.845Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Patricia Mason,Fall 2022 (August - November),,Ms.,https://www.linkedin.com/in/shivanika-shah-4a8837166/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Data Analytics - Artificial Intelligence,"Education, Financial Services, Health, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Co-op","Data Analyst, Data Engineer, Data Scientist",Western University,True,True,True,True cd983393-7e4f-444d-bbf5-0360cd26fccd,doreenduoduaah@gmail.com,Doreen,Duoduaah,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Graduate Student majoring in Computer Vision,"A machine learning and AI practitioner focused on projects that optimize algorithms in Computer Vision. My passion also extends into understanding the vast world of data science and how to integrate machine learning safely and ethically into our everyday lives to improve our society. I’ve spent time tackling some of the world's most challenging data problems through Kaggle where I constantly wrangle data, visualize it and build algorithms on large datasets. I also enjoy giving back and building better communities by empowering our youth to achieve more and become their best.",4387227709,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/cd983393-7e4f-444d-bbf5-0360cd26fccd/resume,Montreal,Quebec,,Canada,,2022-02-09T17:46:50.609Z,2022-02-09T21:39:29.900Z,False,False,Connected to Vector Research,Yes,,,Already Graduated,Machine Learning Course for Black and Indigenous People,Ms.,https://www.linkedin.com/in/doreen-duoduaah/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Electrical/Computer Engineering,,"Full Time, Internship, Contract","Data Scientist, Machine Learning Engineer",Other,True,True,True,True @@ -5843,9 +5854,28 @@ b6c950a4-c9cb-4978-8b2e-5c0f83a7e47c,salehas222@gmail.com,Salehabanu,Shaikh,http 5e8eefe6-47b6-4821-be05-8b48148ce76d,mona.fzdr@gmail.com,Monalisa,Fouzdar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-09-13T16:49:25.434Z,2020-09-13T16:49:25.458Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,No,Already Graduated,,Mrs.,https://www.linkedin.com/in/monalisa-fouzdar/,,Graduate Degree (Masters),Senior Level (5+ Years),Masters in Management in Artificial Intelligence,"Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project",,Queen's University,True,True,True,True 01255cdb-1969-4be0-82d9-2e740e8fc1e7,alexandrayue999@outlook.com,Alex,Yue,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-09-17T16:54:29.431Z,2021-03-19T19:20:01.361Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/alexandra-yue-34b3b590/,,,,,,,,,True,True,True,True d4b4ed0a-bb47-4dae-a47f-7dd74b8f2863,atienojo@yorku.ca,Atieno,Otonglo,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-09-11T13:47:17.941Z,2020-09-28T09:21:03.318Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/atienootonglo,,,,,,,,,True,True,True,True -6e74c787-b70b-4806-9c78-c7e6a96cb578,gbengaisu@gmail.com,Olugbenga,Dickson-Isu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/olugbengadickson-isu/,,True,False,,,,,,,2023-03-31T15:41:42.592Z,,False,False,,,,,,,,,,,,,,,,,,,, -a621dc56-b6e4-4ef2-805e-5c2eb1fd0f04,winston.peng87@gmail.com,Winston,Peng,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/winston-p-52a2b462/,,True,False,,,,,,,2023-03-31T15:41:43.528Z,,False,False,,,,,,,,,,,,,,,,,,,, -6ba45de3-2194-4013-a2cb-3b45c4e216b5,jxw1107@gmail.com,Xiaowei,Jin,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,7786822688,,,,,,True,False,,Toronto,Ontario,,Canada,,2021-05-04T15:06:59.658Z,2021-10-28T14:31:31.124Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Ms.,https://www.linkedin.com/in/xiaowei-jin/,"AI safety, Data science, Healthcare and/or medical imaging, Machine learning, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,,"Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +223c3db4-1542-4706-891e-c1532384acec,melkurdy@uoguelph.ca,Mostafa,Elkurdy,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/mostafa-elkurdy/,,True,False,,Guelph,Ontario,,Canada,,2020-08-28T15:00:52.532Z,2020-08-31T16:16:01.478Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/mostafa-elkurdy/,,Graduate Degree (Masters),Entry Level (0-2 Years),"Environmental Engineering, Collaborative Specialization in Artificial Intellegence",,"Full Time, Contract",,University of Guelph,True,False,True,True +34d19a52-f2f4-4c51-b989-9db6b1c8996c,smsegal@yorku.ca,Shane,Segal,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,Toronto,Ontario,,Canada,,2020-09-04T14:57:50.796Z,2020-09-04T15:23:10.145Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Marcus Brubaker,Already Graduated,,Mr.,https://www.linkedin.com/in/shanesegal/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Computer Science,"Software, Technology (Product Development)",Full Time,,York University,True,True,True,True +218270e5-5286-4593-b019-94c09c0cd46c,m.mehrata@gmail.com,Mina,Mehrata,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,https://github.com/MinaMehrata,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/218270e5-5286-4593-b019-94c09c0cd46c/resume,,,,,,2020-08-26T14:02:05.405Z,2020-08-26T14:02:05.430Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Ms.,https://www.linkedin.com/in/minamehrata/,,Graduate Degree (Masters),Entry Level (0-2 Years),Engineering,Type of Work is More Important to me than Sector,Full Time,,University of Waterloo,True,True,True,True +51b1b0ed-a990-4aa2-a3f2-0f4bed1678f0,megan.yow.yy@gmail.com,Megan,Yow,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-09-03T14:07:47.448Z,2020-09-03T14:07:47.474Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Already Graduated,,Ms.,https://www.linkedin.com/in/meganyow/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Economics and Statistics,"Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,,University of Toronto,True,False,True,True +2676b516-ccb5-4e49-9b76-29b86ba24241,qizhen@cs.toronto.edu,irene,zhang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2020-09-04T14:57:50.310Z,2020-12-10T00:30:09.934Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/qizhen-irene-zhang-285888174/,,,,,,,,,True,,True,True +702219e6-8293-4910-b730-dfe598c0ec82,jack.liu1600@gmail.com,Jack,Liu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2021-02-20T01:01:42.565Z,2021-02-20T01:01:42.580Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/jack-liu-80918a153/,,,,,,,,,True,False,True,True +1973169b-6e1d-4072-9a5b-9841d98359d9,18hm26@queensu.ca,Hamza,Munir,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-09-19T20:17:57.100Z,2021-09-23T01:36:20.393Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,N/A,,Graduate Degree (Masters),Entry Level (0-2 Years),Masters in Management Analytics,Financial Services,"Full Time, Internship","Business Analyst/Business Intelligence Analyst , Data Analyst",Queen's University,True,True,True,True +89eff224-b5db-4500-9b3a-66ea443c2682,meet84046@gmail.com,Meet,Patel,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/89eff224-b5db-4500-9b3a-66ea443c2682/resume,,,,,,2021-03-06T18:22:46.244Z,2021-03-06T18:22:46.271Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,N/A,Already Graduated,,Mr.,https://www.linkedin.com/in/meetvpatel/,"Computer vision, Deep learning, Machine learning, Natural language processing, Optimization, Reinforcement learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master's in Engineering,Technology (Information and Media),"Full Time, Internship, Contract",,University of Ottawa,True,True,True,True +049171d5-9464-4c62-a4fb-22b2d09d4e66,m.gholami13@gmail.com,Majid,Gholami,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-06-01T23:26:20.366Z,2021-06-01T23:26:20.396Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Already Graduated,Currently I am not associated with the Vector Institute.,Mr.,https://www.linkedin.com/in/majid-gholami/,"Machine learning, Optimization, Time-series forecasting and modelling",Postgraduate Degree (PhD),Entry Level (0-2 Years),Water Sciences,"Financial Services, Manufacturing , Type of Work is More Important to me than Sector","Full Time, Internship, Contract","Data Analyst, Data Scientist, Machine Learning Engineer",Other,True,True,True,True +a6a27e8e-1816-4cb2-aebd-0115ff63759b,ehsan2754@gmail.com,Ehsan,Shaghaei,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,+79264847255,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/a6a27e8e-1816-4cb2-aebd-0115ff63759b/resume,,,,,,2022-02-01T04:56:23.166Z,2022-02-01T04:56:23.217Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Spring/Summer 2023 (April - July),Studing Bachelors,Mr.,https://www.linkedin.com/in/ehsanshaghaei/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Science,"Education, Manufacturing , Retail, Technology (Product Development), Telecommunications, Transportation","Internship, Co-op, Contract","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,False,True,True +ec132070-53bd-4aef-86a3-815018244a2a,prabhnoor0212@gmail.com,Prabhnoor,Singh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://linkedin.com/in/prabhnoor-singh97,,True,False,https://canadaai.jobboard.io/api/v1/profiles/ec132070-53bd-4aef-86a3-815018244a2a/resume,,,,,,2020-10-23T13:26:43.927Z,2022-01-21T14:38:49.795Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2022 (August - November),,Mr.,https://www.linkedin.com/in/prabhnoor-singh97/,"Data science, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),M.Sc. Computer Science - AI specialization,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",York University,True,True,True,True +4de0731d-7915-4b51-8873-9effaf8a6105,huzongying222@gmail.com,Shirley,Hu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-09-19T20:18:01.266Z,2021-09-21T22:33:26.506Z,False,False,Recognized Masters Program,Yes,,,,,,www.linkedin.com/in/zongying-hu-shirley,,,,,,,,,True,True,True,True +41c7ad45-6f0c-4866-92bf-8774fafb17d4,sahab.assadi.sh@gmail.com,Mohammad,Assadi Shalmani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,+98 939 032 9017,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/41c7ad45-6f0c-4866-92bf-8774fafb17d4/resume,,,,,,2021-11-30T09:32:37.805Z,2021-11-30T09:32:37.899Z,False,False,Not Affiliated with Vector,No,Vector Scholarship Recipient,,Already Graduated,,Mr.,https://www.linkedin.com/in/mohammad-assadi-shalmani-16b69a150/,"Bioinformatics, Computer vision, Machine learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Computer Engineering,"Education, Health, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Co-op, Contract, Capstone Project","Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Ottawa,True,True,True,True +9c51b3f0-8b77-4192-89b3-5974852af467,ghadeer.ghosheh@eng.ox.ac.uk,Ghadeer,Ghosheh,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-11-07T20:13:34.605Z,2021-11-07T20:13:34.658Z,False,False,Not Affiliated with Vector,No,Other/Unsure,,Fall 2024 (August - November),Canadian PhD Student at the University of Oxford,Miss.,N/A,"AI safety, Bioinformatics, Data science, Generative modeling",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Engineering Science - Biomedical Engineering,"Education, Health, Technology (Product Development)","Internship, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",Other,True,False,True,True +5b19b625-cc88-4a0b-a0b7-a9b4e51c8de8,chengwu.tw@gmail.com,Chien-Cheng,Wu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-07-27T19:46:55.807Z,2021-07-27T19:46:55.830Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Other/Unsure,,Fall 2022 (August - November),DLRL Summer School student,Mr.,https://www.linkedin.com/in/chien-cheng-wu/,,Postgraduate Degree (PhD),Senior Level (5+ Years),Institute of Information and Technology,,Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer",Other,True,True,True,True +7006b577-9845-43c6-a0c9-9be51fb970fb,oluwatobi67@gmail.com,Emmanuel,Simonyan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-10-15T21:35:11.667Z,2021-10-15T21:35:11.698Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/emmanuel-simonyan-78396a133/,"Computer vision, Deep learning, Healthcare and/or medical imaging",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Engineering,,"Full Time, Internship","Machine Learning Researcher/Scientist , Product/Project Manager",Other,True,True,True,True +34d3fd6d-5fd7-40c2-8d03-5971b5e0ada0,mehrizis@gmail.com,Sajad,Mehrizi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,+352671104271,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/34d3fd6d-5fd7-40c2-8d03-5971b5e0ada0/resume,,,,,,2021-02-22T10:11:01.079Z,2021-02-22T10:11:01.107Z,False,False,Unaffiliated PhD Graduate/Candidate,Yes,Post Graduate Affiliate,Luxembourg,Already Graduated,,Mr.,https://www.linkedin.com/in/sajad-mehrizi-943aaaa0/,"Bayesian methods, Deep learning, Game theory",Postgraduate Degree (PhD),Mid-Level (3-5 Years),Electrical engineering,Education,Full Time,,Other,True,True,True,True +518b3856-87bf-42db-999d-da1ab6fda5d1,prince.tinna@gmail.com,Prince,Tinna,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2021-07-07T04:47:54.959Z,2021-07-07T04:47:54.983Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,True,True,True +f212caa8-2e37-48bc-8de5-cc540d9d5a42,rtpslot7788@outlook.com,RTP,Slot Gacor,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-02-08T12:58:43.099Z,2023-02-08T12:58:43.139Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,N/A,"Adversarial learning, AI safety, Anomaly detection",High School,Entry Level (0-2 Years),ok,Construction or Infrastructure,Full Time,Data Analyst,Algoma University,True,True,True,True +993d172d-13d2-4ef1-bd94-848054e6fc5b,danish.nayeem@ontariotechu.net,Danish,Nayeem,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Scientist,"Aspiring Professional in the Computer Science & Cyber Security Domain, I have a strong foundation in data analysis and interpretation, machine learning, and statistical modelling as a professional data scientist. I am skilled in Python programming and have experience working with large, diverse datasets to extract insights and drive decision-making. I have a track record of implementing successful data-driven solutions in various industries and am proficient in communicating my findings to both technical and non-technical audiences. I am a proactive problem-solver and continuously seek opportunities to learn and grow in my field.",2899963747,,,,https://www.linkedin.com/in/danish-nayeem,,False,False,https://canadaai.jobboard.io/api/v1/profiles/993d172d-13d2-4ef1-bd94-848054e6fc5b/resume,,Ontario,,Canada,,2021-12-22T19:56:11.060Z,2023-01-27T23:37:15.328Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,www.linkedin.com/in/danish-nayeem,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of IT Security with AI Specialization,"Financial Services, Health, Professional Services (e.g Consulting), Retail, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",OntarioTech University,True,,True,True +375936f2-419b-4444-a912-bb414899ad07,helen.m.zhu@gmail.com,Helen,Zhu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-09-01T20:47:58.871Z,2023-03-14T17:01:36.143Z,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/helen-m-zhu/,,,,,,,,,True,True,True,True +53cc16cd-247d-4e32-807b-55d5b7ec9045,baderinwa.lawal@gmail.com,Omobaderinwa,Abraham,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,"Data Analyst, Business Analyst, Machine Learning",IT Professional,,,,,https://www.linkedin.com/in/omobaderinwa-abraham-869829b3/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/53cc16cd-247d-4e32-807b-55d5b7ec9045/resume,Moncton,New Brunswick,,Canada,,2023-04-12T01:21:57.340Z,2023-04-22T01:10:47.295Z,True,True,Other Vector Programming,Yes,Vector Scholarship Recipient,Vector Institute,Already Graduated,,Mrs.,https://www.linkedin.com/in/omobaderinwa-abraham-869829b3/,"Data science, Machine learning, Time-series forecasting and modelling, Wearable technology and/or Internet of Things",Undergraduate Degree (Bachelors),Senior Level (5+ Years),Computer Science,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Product/Project Manager",Other,True,True,True,True c1a7b4ee-6fff-45f4-8385-7338199a9793,whitematthew639@gmail.com,Matthew,White,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2023-04-04T05:23:30.925Z,2023-04-04T05:23:30.956Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,True,True,True 2d33849c-b820-4bfc-8ad9-258327a5d436,erika.munoz.datascientist@gmail.com,Erika,Torres,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Scientist with four years of experience,"Accomplished Data Scientist with a passion for delivering valuable insights through predictive models (Machine Learning) on cloud environments and data retrieval methods. Committed to helping companies advance by developing strategic boards based on predictive modelling findings. A creative thinker, adept in Azure and working with various data structures. @@ -5862,37 +5892,16 @@ Throughout my academic career, I have demonstrated a track record of success in ",5145695177,,,,https://www.linkedin.com/in/manal-eltanab/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/6ba78bd0-170d-4018-9343-55381517628c/resume,Toronto,Ontario,,Canada,,2023-04-12T17:07:33.541Z,2023-04-14T16:22:56.542Z,True,False,Other Vector Programming,Yes,Other Vector Programming,,Already Graduated,Caregivers and Machine Learning Program,Mrs.,N/A,"Machine learning, Reinforcement learning, Wearable technology and/or Internet of Things",Postgraduate Degree (PhD),Senior Level (5+ Years),Electrical and Computer Engineering,"Education, Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",Other,True,True,True,True 029547e4-a7f1-4848-96d2-05424bc3bccc,s.akshay0799@gmail.com,Akshay,Srinivasan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,3435752491,,,,https://www.linkedin.com/in/akshay--srinivasan/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/029547e4-a7f1-4848-96d2-05424bc3bccc/resume,Ottawa,Ontario,,Canada,,2021-08-24T21:14:45.618Z,2023-05-03T22:48:40.196Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/akshay-srinivasan-946607188/,"Deep learning, Machine learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Master's in Computer Science with Concentration in Applied AI,"Financial Services, Health, Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship, Contract","Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Ottawa,True,,True,True ca48ca83-61f5-4204-a501-ae5d86a68145,yasamin.niknam1998@gmail.com,Yasmin,Niknam,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Master's Student in Computer Science,,4168204217,,https://yasminniknam.github.io/,,https://www.linkedin.com/in/yasminniknam/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/ca48ca83-61f5-4204-a501-ae5d86a68145/resume,,Ontario,,Canada,,2021-09-10T17:42:58.189Z,2023-03-28T13:44:40.071Z,True,True,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Professor Boyu Wang,Winter 2023 (December 2022 - March 2023),,Ms.,https://www.linkedin.com/in/yasminniknam/,"Computer vision, Deep learning, Healthcare and/or medical imaging, Machine learning, Time-series forecasting and modelling, Transfer learning, Unsupervised learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Computer Science,"Financial Services, Health, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Internship","Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Western University,True,True,True,True -957e9b91-99c1-444d-944e-65e5fcf33f75,sakkerwal.hitesh@gmail.com,Hitesh Kumar,Sakkerwal,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6479911721,,,,https://www.linkedin.com/in/sakkerwal/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/957e9b91-99c1-444d-944e-65e5fcf33f75/resume,Burlington,Ontario,,Canada,,2022-09-09T13:00:01.083Z,2023-02-01T21:20:14.159Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/sakkerwal/,,Graduate Degree (Masters),Senior Level (5+ Years),Master of Management Analytics,,"Full Time, Internship, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Scientist, Product/Project Manager",Queen's University,True,True,True,True -05208660-8b2a-4129-9216-ad2490ba0e37,nishant.trehan@gmail.com,Nishant,Trehan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-12-22T19:56:40.793Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/nishanttrehan/,,,,,,,,,,,, -39b80436-12fc-4cd4-b6a3-48c3bcd4badb,21za1@queensu.ca,Zuraze,Ali,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-12-22T19:56:36.738Z,,False,False,Connected to Vector Research,Yes,,,,,,N/A,,,,,,,,,,,, -7eccea9c-2c84-45bf-9286-8dda2c809b0f,amasry17@ku.edu.tr,Ahmed,Masry,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-12-22T19:56:12.922Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/ahmed-masry-ku/,,,,,,,,,,,, -1f302c1d-5be0-4117-b28f-45d3e453ca10,ngnikhil07@gmail.com,NIKHIL,GUPTA,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-12-22T19:56:12.098Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/nikhilro/,,,,,,,,,,,, -3a151af4-2647-4b6b-b617-a29c8920b25f,xmengju@umich.edu,Xiaomeng,Ju,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-12-22T19:55:56.898Z,,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/xiaomeng-ju-946a3485/,,,,,,,,,,,, -4a538792-cda7-45a2-918f-823eafaf3bde,mmunawark@gmail.com,Muhammad Munawar,Khan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-12-22T19:55:51.625Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/immunawar/,,,,,,,,,,,, -bdca6700-0305-4b24-a7a2-36f9fdabb550,luxi.zhang@queensu.ca,Lucy,Zhang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-01-18T19:02:58.837Z,,False,False,Recognized Masters Program,Yes,,,,,,N/A,,,,,,,,,,,, -b5849451-a027-4f42-81e7-3aefc8683215,padhu.9829@gmail.com,Padmasri,Padmasri,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-01-18T19:02:59.245Z,,False,False,Vector Scholarship Nominee,Yes,,,,,,https://www.linkedin.com/in/padmasri-r/,,,,,,,,,,,, -0f970f0a-7e9a-4b9d-8b4c-015c1fc7855d,samaneh_alidoosti@yahoo.com,Samaneh,Alidousti,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-01-18T19:02:59.854Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/samaneh-alidousti-72669952/,,,,,,,,,,,, -f7a1cc55-9827-4eb2-a0de-07e3908ad77b,hsy0502@hotmail.com,Shiyi,Huang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-01-18T19:03:00.250Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/shiyi-huang-19970502/,,,,,,,,,,,, -516efa29-3dd6-421e-8055-b0f15a2582ef,zhangzhanhecharlie@gmail.com,Zhanhe,Zhang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-01-18T19:03:00.980Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/zhanhe-zhang-4892061ba/,,,,,,,,,,,, -b8047e88-01a5-4bf5-875f-1a74ea12da64,kran@schulich.yorku.ca,Ke,Ran,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-01-18T19:02:58.483Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/ran-ke-913256237/,,,,,,,,,,,, -92c1a93e-00c5-4f1f-ae77-4cdffb927ae5,22yd13@queensu.ca,Amy,Wang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-01-18T19:02:57.658Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/amywang21/,,,,,,,,,,,, -a4e8a6cb-d83c-4299-b7e9-44aca8f84266,marcowong34679@gmail.com,Marco,Wong,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-01-13T01:42:33.516Z,2023-01-13T01:42:33.580Z,False,False,Not Affiliated with Vector,No,Unsure,n/a,Fall 2023 (August - November),n/a,Mr.,N/A,"Deep learning, Machine learning, Time-series forecasting and modelling",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),5th year,"Software, Technology (Information and Media)","Full Time, Internship, Co-op, Contract","Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -3e828ac2-4e34-42a9-83b7-e0ae7e541df0,lamdky@gmail.com,Debbie,Lam,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-09-21T20:23:39.108Z,2022-11-23T21:47:12.287Z,False,False,Recognized Masters Program,Yes,,,,,,N/A,,,,,,,,,True,True,True,True -30b6139f-cbf0-42ff-b86c-3558b57e0285,arielw22@hotmail.com,Ariel,Wang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-08-13T15:44:32.546Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/hongjie-ariel-wang/,,,,,,,,,,,, -2db6c42d-1552-4b8e-97d8-79f62f25cdfc,man.bansal60@gmail.com,Manish,Bansal,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2021-08-13T15:44:28.551Z,2021-08-14T15:12:35.746Z,False,False,Connected to Vector Research,Yes,,,,,,N/A,,,,,,,,,True,True,True,True -58ba9954-cae5-417d-b455-290d18176cfd,sara.ketabi@mail.utoronto.ca,Sara,Ketabi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-01-13T21:14:56.377Z,,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/sara-ketabi-74509a1b3/,,,,,,,,,,,, -8af98330-826e-432b-9740-294890c313c3,alexbie98@gmail.com,Alex,Bie,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Masters Student at University of Waterloo,,,,,,https://www.linkedin.com/in/alexbie98/,,False,False,,,,,,,2022-01-13T20:27:34.833Z,2023-01-19T17:38:24.107Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,"Shai Ben-David, Gautam Kamath",Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/alexbie98/,"Deep learning, Privacy, anonymity, and/or security, Statistical learning theory",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op","Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Waterloo,True,False,True,True -036a3f23-fcba-4fe6-9a9d-07452debf662,winston.sh.chan@gmail.com,Winston,Chan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,6476388260,,,,,,False,False,https://canadaai.jobboard.io/api/v1/profiles/036a3f23-fcba-4fe6-9a9d-07452debf662/resume,York,Ontario,,Canada,linkedin,2023-03-01T00:15:22.069Z,2023-03-01T00:15:22.097Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2024 (April - July),,Mr.,N/A,"Computer vision, Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),MSc in Computer Science with Specialization in AI,"Health, Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development)","Internship, Co-op","Data Scientist, Machine Learning Engineer, Software Engineer",York University,True,True,True,True -2f51fd17-3d09-4d5a-bf12-a098f0479212,ajamdade@uwaterloo.ca,Ankita,Bhalchandra Jamdade,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Master of Data Science and Artificial Intelligence at the University of Waterloo,,,,,,https://www.linkedin.com/in/ankitajamdade/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/2f51fd17-3d09-4d5a-bf12-a098f0479212/resume,Waterloo,Ontario,,Canada,,2022-11-09T22:13:22.661Z,2023-02-25T21:14:45.012Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Winter 2024 (December 2023 - March 2024),,Ms.,https://www.linkedin.com/in/ankitajamdade/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Data Science and Artificial Intelligence,"Financial Services, Software, Technology (Information and Media), Technology (Product Development)",Co-op,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Waterloo,True,True,True,True -dafabd2d-4dc0-4d59-9bf3-dbda8fbe7246,ekansh@cs.toronto.edu,Ekansh,Sharma,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2022-01-12T15:46:05.441Z,2023-01-31T02:10:55.624Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Daniel Roy,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/ekansh-sharma-8b287459/,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computer Science,,"Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -05ca0e23-c4de-42d9-a09a-155409eab777,linma7020@gmail.com,Lin,Ma,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,"A visionary and results-driven entrepreneur with 10 years of experience, with a proven track record of success in launching and scaling successful service platforms. -Passionate about using technology to solve real-world problems, brings a combination of strategic thinking, technical expertise, and leadership skills to drive growth, customer satisfaction, and business success. -Proven track record of building strong relationships with clients, identifying their needs, and implementing effective solutions to drive customer satisfaction and business growth. -Excellent communication and leadership skills, with a passion for delivering exceptional customer experiences. -",,,,,,,False,False,https://canadaai.jobboard.io/api/v1/profiles/05ca0e23-c4de-42d9-a09a-155409eab777/resume,Toronto,Ontario,,Canada,,2021-12-22T19:56:43.421Z,2023-02-01T23:26:32.050Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mrs.,N/A,"AI safety, Bioinformatics, Deep learning",Graduate Degree (Masters),Senior Level (5+ Years),MMA,"Financial Services, Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Full Time, Internship, Co-op, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Product/Project Manager, Other ",Queen's University,True,True,True,True -97f6e036-ce55-4d70-bdc4-57a0cd2d5790,johnteshe13@gmail.com,Yohanes,Teshome,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2022-12-09T07:47:43.070Z,2022-12-09T07:47:43.094Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,False,True,True -7976877c-34e3-404e-a878-79e5cfc94cce,aparna.gopalakrishnan@mail.utoronto.ca,Aparna,Gopalakrishnan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,4168979093,,https://github.com/aparnagopalakrishnan7,,https://www.linkedin.com/in/aparna-gopalakrishnan-/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/7976877c-34e3-404e-a878-79e5cfc94cce/resume,Toronto,Ontario,,Canada,,2020-11-06T16:50:47.672Z,2021-01-30T17:42:43.631Z,False,False,Connected to Vector Research,Yes,Student or Postdoc of a Vector Faculty Member,Animesh Garg,Already Graduated,Project Collaborator,Mx.,https://www.linkedin.com/in/aparna-gopalakrishnan-/,,Undergraduate Degree (Bachelors),Entry Level (0-2 Years),"Computer Science, Mathematics, Statistics","Education, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector","Internship, Co-op, Capstone Project",,University of Toronto,True,True,True,True -3c9c6dcd-50dd-4692-a30e-f18466d0f2f0,mrthomas@ualberta.ca,Mark,Thomas,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/mrmarkthomas/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/3c9c6dcd-50dd-4692-a30e-f18466d0f2f0/resume,Edmonton,Alberta,,Canada,,2022-09-13T04:01:58.780Z,2023-01-09T23:58:44.518Z,True,True,Connected to Vector Research,Yes,Other Vector Programming,Nicolas Papernot,Spring/Summer 2023 (April - July),Research Intern (Summer 2022),Mr.,https://www.linkedin.com/in/mrmarkthomas/,"Deep learning, Machine learning, Privacy, anonymity, and/or security",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),BSc Honors in Computing Science,"Health, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Internship,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer, Other ",Other,True,True,True,True +81f6bdf9-0f68-42e3-9495-8a408eeb390a,emunozto@uwo.ca,Erika,Munoz Torres,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/emunozto/,,True,False,,,,,,,2023-03-31T15:41:40.604Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/emunozto/,,,,,,,,,,,, +41373f8d-fbc1-42ea-bdf7-a621cae37a02,ag.qasemi@gmail.com,Abdul,Ghafar Qasemi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/abdul-ghafar-qasemi-38b15484/,,True,False,,,,,,,2023-03-31T15:41:40.041Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/abdul-ghafar-qasemi-38b15484/,,,,,,,,,,,, +46d1a5c2-ff32-41c1-b86a-133693208701,mina.yazdani@torontomu.ca,Mina,Yazdani,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/mina-yazdani-4465476a/,,True,False,,,,,,,2023-03-31T15:41:41.879Z,,False,False,,,,,,,,,,,,,,,,,,,, +c9b04bd3-6631-4fbc-8cb6-11f8aa299d06,ojaswita.kalra@rotman.utoronto.ca,Ojaswita,Kalra,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/ojaswita-kalra/,,True,False,,,,,,,2023-03-31T15:41:42.494Z,,False,False,,,,,,,,,,,,,,,,,,,, +6e74c787-b70b-4806-9c78-c7e6a96cb578,gbengaisu@gmail.com,Olugbenga,Dickson-Isu,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/olugbengadickson-isu/,,True,False,,,,,,,2023-03-31T15:41:42.592Z,,False,False,,,,,,,,,,,,,,,,,,,, +a621dc56-b6e4-4ef2-805e-5c2eb1fd0f04,winston.peng87@gmail.com,Winston,Peng,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/winston-p-52a2b462/,,True,False,,,,,,,2023-03-31T15:41:43.528Z,,False,False,,,,,,,,,,,,,,,,,,,, +6b125705-f599-4254-8fcf-daa9fdee4f61,zelalemak@gmail.com,Zelalem,Araya,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,"Student - Ecology, Statistics & Data Science","Student at the University of British Columbia studying in the Integrated Sciences program - specializing in Ecology and Statistics, along with a minor in Data Science. Very interested in the intersections between Machine Learning and UX design.",4036679700,,,,https://www.linkedin.com/in/zelalem-araya/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/6b125705-f599-4254-8fcf-daa9fdee4f61/resume,Vancouver,British Columbia,,Canada,,2022-11-02T22:28:47.626Z,2023-06-29T22:19:30.828Z,True,True,Other Vector Programming,Yes,Other Vector Programming,British Columbia,Spring/Summer 2024 (April - July),Machine Learning Course for Black & Indigenous Students,Ms.,https://www.linkedin.com/in/zelalem-araya/,"Computational biology, Data science, Wearable technology and/or Internet of Things",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Ecology & Statistics,"Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development)","Internship, Co-op","Data Architect, Data Scientist, Machine Learning Researcher/Scientist , Product/Project Manager",Other,True,False,True,True +956ae68c-237b-4861-b7ee-8b62f80d94e6,saaketh.raghava@gmail.com,Saaketh,Raghava,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/saaketh-raghava-a3093a270/,,True,False,,,,,,linkedin,2023-06-17T19:04:17.815Z,2023-06-17T19:04:17.837Z,False,False,,No,,,,,,https://www.linkedin.com/in/saaketh-raghava-a3093a270/,,,,,,,,,True,True,True,True +5daaf48e-411b-4de4-9abc-fe7316126df2,21sd45@queensu.ca,Sayantan,Das,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,https://ucalyptus.me/,,https://linkedin.com/in/ucalyptus,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5daaf48e-411b-4de4-9abc-fe7316126df2/resume,,,,,,2023-06-19T04:02:32.417Z,2023-06-19T04:02:32.455Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,NA,Fall 2023 (August - November),,Mr.,https://linkedin.com/in/ucalyptus,"Adversarial learning, Bioinformatics, Computer vision, Deep learning, Fairness, Few-shot learning, Generative modeling, Healthcare and/or medical imaging, Machine learning, Natural language processing, Optimization, Representation learning, Self-supervised learning, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Applied Science (Artificial Intelligence),"Software, Technology (Information and Media)","Full Time, Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True +6ab8b8b9-333f-49ec-8e35-3f01626f6902,fongchungyan@gmail.com,CY,Fong,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Machine Learning Engineering,,,,https://github.com/cfong32,,https://www.linkedin.com/in/cfong32/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/6ab8b8b9-333f-49ec-8e35-3f01626f6902/resume,Guelph,Ontario,,Canada,linkedin,2022-09-08T02:51:56.884Z,2022-09-21T03:41:13.661Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/cy-fong-44b250223/,"Deep learning, Machine learning, Time-series forecasting and modelling",Graduate Degree (Masters),Mid-Level (3-5 Years),Data Science,"Education, Health, Software, Technology (Product Development), Transportation, Type of Work is More Important to me than Sector",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Guelph,True,True,True,True 4bb4d950-d5cb-46b7-87d0-a7ab4bcd664f,nasser019@yahoo.com,Nasser,Badrudduza,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,IT Security in AI Specialist / Data Scientist,"• Master of Information Technology Security in Artificial Intelligence. • Forecasting, predicting Analytical and critical thinking skills are demonstrated in scrutinizing problems and finding remedial solutions. • Efficiently work independently and as part of the team, cooperating, enforcing policies or established rules, being punctual, accepting responsibility, setting deadlines, and meeting them. @@ -5913,23 +5922,25 @@ TECHNICAL SKILL • Software Tools: Visio, diagrams.net, Access, Word, Excel, PowerPoint, Wireshark, Oracle VM, VMware, Network Data Analysis Tool- Gephi, Microsoft Power Platform- Power Automate, Power Apps, Power BI • Databases and Reporting Tools: Microsoft SQL Server, Access, Excel, Visio, Project, diagrams.net, ER Diagram, Seagate Crystal Reports, Data Report, MySQL, Oracle PL/SQL, Developer 2000, Designer 2000 • Programming Language: C, C#, Visual Basic.Net, Python- NumPy, Pandas, Scikit-learn, TensorFlow and Keras for Machine Learning, Deep Learning in AI",6475613661,,,,https://www.linkedin.com/in/nasser019/,nasser019,False,False,https://canadaai.jobboard.io/api/v1/profiles/4bb4d950-d5cb-46b7-87d0-a7ab4bcd664f/resume,Toronto,Ontario,,Canada,,2020-10-29T19:23:00.491Z,2023-05-26T04:07:41.406Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Already Graduated,,Mr.,https://www.linkedin.com/in/nasser019/,"Data science, Deep learning, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Information Technology Security in Artificial Intelligence Security,"Construction or Infrastructure, Education, Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Retail, Software, Technology (Information and Media), Technology (Product Development), Telecommunications","Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",OntarioTech University,True,True,True,True +28389fd3-9a96-40a1-89c5-96a945029a1d,iamakshayshetty3@gmail.com,Akshay,Shetty,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/akshaykshetty/,,False,False,,,,,,,2022-09-14T02:51:35.201Z,2023-01-27T00:35:03.222Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/akshaykshetty/,"Computer vision, Deep learning, Machine learning, Meta-learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Management in Artificial Intelligence,"Professional Services (e.g Consulting), Software, Technology (Product Development)","Full Time, Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",York University,True,True,True,True +dcb30d73-3ba0-4f53-9a7f-2fb283cf21c6,chinlin880514@gmail.com,Chin-Lin,Chen,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/chin-lin-chen/,,True,False,,,,,,,2022-09-09T12:59:55.130Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/chin-lin-chen/,,,,,,,,,,,, +0747becb-5870-4614-8095-c1542a643daf,c498chen@uwaterloo.ca,ChinLin,Chen,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/chin-lin-chen/,,True,False,,,,,,,2020-09-04T14:57:51.028Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/chin-lin-chen-6b4204196/,,,,,,,,,,,, +17684b2c-9aa1-4f39-8de8-db48da01f061,deniz.jafari@mail.utoronto.ca,Deniz,Jafari,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/denizjafari,,True,False,,,,,,,2020-12-21T15:12:29.923Z,,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/denizjafari,,,,,,,,,,,, +e2a2ac54-2347-49ab-9369-2045b8cbd333,ijavadi@uottawa.ca,Iman,Javadi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/imanjavadi24564,,True,False,,,,,,,2022-08-04T19:14:40.212Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/imanjavadi24564,,,,,,,,,,,, +e59c34d1-1ec3-4292-85ea-169b41093901,h249huan@uwaterloo.ca,Jenny,Huang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/hq-huang,,True,False,,,,,,,2023-01-18T19:02:58.365Z,2023-01-26T18:47:21.249Z,False,False,Recognized Masters Program,Yes,,,,,,www.linkedin.com/in/hq-huang,,,,,,,,,True,,True,True +3c9c6dcd-50dd-4692-a30e-f18466d0f2f0,mrthomas@ualberta.ca,Mark,Thomas,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/mrmarkthomas/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/3c9c6dcd-50dd-4692-a30e-f18466d0f2f0/resume,Edmonton,Alberta,,Canada,,2022-09-13T04:01:58.780Z,2023-01-09T23:58:44.518Z,True,True,Connected to Vector Research,Yes,Other Vector Programming,Nicolas Papernot,Spring/Summer 2023 (April - July),Research Intern (Summer 2022),Mr.,https://www.linkedin.com/in/mrmarkthomas/,"Deep learning, Machine learning, Privacy, anonymity, and/or security",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),BSc Honors in Computing Science,"Health, Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Internship,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer, Other ",Other,True,True,True,True +3e9ff93d-a12c-4c7a-be98-2399e7ce3d62,daniel.darolfi@gmail.com,Daniel,D'Arolfi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,False,False,https://canadaai.jobboard.io/api/v1/profiles/3e9ff93d-a12c-4c7a-be98-2399e7ce3d62/resume,,,,,,2022-11-29T04:16:53.680Z,2023-05-15T22:01:37.370Z,True,True,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/daniel-darolfi-0000001/,"Computer vision, Deep learning, Healthcare and/or medical imaging",Graduate Degree (Masters),Entry Level (0-2 Years),Electrical and Computer Engineering,"Health, Manufacturing , Software, Technology (Product Development)","Full Time, Internship","Data Analyst, Data Engineer, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,False,True,True +f752599b-0799-4a7e-9dcb-8c8ed34eeef9,safwat.nabil1@gmail.com,Nabil,Safwat,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/nabil-safwat-b19574170/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f752599b-0799-4a7e-9dcb-8c8ed34eeef9/resume,,,,,,2023-05-16T20:01:49.298Z,2023-05-16T20:01:49.336Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/nabil-safwat-b19574170/,"AI safety, Computer vision, Data science, Deep learning, Few-shot learning, Interpretability, Machine learning, Natural language processing, Reinforcement learning, Self-supervised learning, Statistical learning theory, Time-series forecasting and modelling, Transfer learning, Unsupervised learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Information Systems and Technology,Type of Work is More Important to me than Sector,Full Time,"Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",York University,True,True,True,True +09c203d5-9c01-4eb1-9c40-1aa8e79d7b76,richa.dscientist@gmail.com,Richa,Sharma,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Science Consultant,,,,,,https://www.linkedin.com/in/rs506/,,False,True,https://canadaai.jobboard.io/api/v1/profiles/09c203d5-9c01-4eb1-9c40-1aa8e79d7b76/resume,,,,,,2023-05-17T15:31:14.375Z,2023-05-17T15:31:14.452Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Already Graduated,,Ms.,https://www.linkedin.com/in/rs506/,"Data science, Deep learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),MSC. in Data Science and Analytics,"Financial Services, Retail, Telecommunications, Transportation","Full Time, Contract","Data Analyst, Data Scientist",Ryerson University,True,True,True,True +71ab354c-3fcb-4a4c-8ef5-bee28b45ef75,honghaipvu@gmail.com,Vu Hong Hai,Phan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/vhhphan/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/71ab354c-3fcb-4a4c-8ef5-bee28b45ef75/resume,,,,,linkedin,2023-05-17T18:14:39.630Z,2023-05-17T18:14:40.073Z,True,True,Not Affiliated with Vector,No,Unsure,,Already Graduated,I created this profile in order to apply for a full time position.,Mr.,https://www.linkedin.com/in/vhhphan/,"AI safety, Interpretability, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,Technology (Product Development),Full Time,"Data Scientist, Machine Learning Engineer",Other,True,False,True,True +ae902188-26c9-4e66-9c68-144ad6b1a544,rachellee7321@gmail.com,Rachel,Lee,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-05-16T22:01:16.602Z,2023-05-16T22:01:16.652Z,False,False,Not Affiliated with Vector,No,Student or Postdoc of a Vector Faculty Member,Ontario,Already Graduated,,Ms.,N/A,"Computer vision, Deep learning, Machine learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Engineering Science Machine intelligence,Type of Work is More Important to me than Sector,"Full Time, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,False,True,True 533d5929-14b0-4eaf-966f-b0c11de35334,kolpakov.alexander@gmail.com,Aleksandr,Kolpakov,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Problem solver: want to apply my skills to see positive change in real-life cases ,"• Experienced academic researcher with over 40 research works. Publications in prestigious peer-reviewed journals, both in pure and applied mathematics (complete list on my webpage) • Created new algorithms and improved existing methods in data science, image processing, and computer-assisted mathematics. • Research featured in “Quanta” magazine. Works accepted at leading conferences such as ICLR. • Team player, independent thinker, problem solver: want to apply my skills to practical problems and see positive change in real-life cases • I’m a Canadian citizen and do not need employment sponsorship in USA / Canada. I have permit C in Switzerland (permanent resident with unrestricted right to work) ",+16476953064,,https://github.com/sashakolpakov,,https://www.linkedin.com/in/alexander-kolpakov-7460a01a/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/533d5929-14b0-4eaf-966f-b0c11de35334/resume,Toronto,Ontario,,Canada,,2023-03-31T15:41:40.151Z,2023-05-11T20:37:06.568Z,True,True,Other Vector Programming,Yes,Other Vector Programming,Juan Felipe Carrasquilla,Already Graduated,Caregivers and Machine Learning,Mr.,https://www.linkedin.com/in/alexander-kolpakov-7460a01a/,"Adversarial learning, Anomaly detection, Computer vision, Data science, Deep learning, Interpretability, Machine learning, Recommender systems, Self-supervised learning, Unsupervised learning",Postgraduate Degree (PhD),Senior Level (5+ Years),PostDoc in Mathematical Sciences,"Health, Software, Telecommunications, Type of Work is More Important to me than Sector","Full Time, Contract","Data Analyst, Data Scientist, Machine Learning Researcher/Scientist ",University of Toronto,True,False,True,True -3e9ff93d-a12c-4c7a-be98-2399e7ce3d62,daniel.darolfi@gmail.com,Daniel,D'Arolfi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,False,False,https://canadaai.jobboard.io/api/v1/profiles/3e9ff93d-a12c-4c7a-be98-2399e7ce3d62/resume,,,,,,2022-11-29T04:16:53.680Z,2023-05-15T22:01:37.370Z,True,True,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Winter 2023 (December 2022 - March 2023),,Mr.,https://www.linkedin.com/in/daniel-darolfi-0000001/,"Computer vision, Deep learning, Healthcare and/or medical imaging",Graduate Degree (Masters),Entry Level (0-2 Years),Electrical and Computer Engineering,"Health, Manufacturing , Software, Technology (Product Development)","Full Time, Internship","Data Analyst, Data Engineer, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,False,True,True -09c203d5-9c01-4eb1-9c40-1aa8e79d7b76,richa.dscientist@gmail.com,Richa,Sharma,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Data Science Consultant,,,,,,https://www.linkedin.com/in/rs506/,,False,True,https://canadaai.jobboard.io/api/v1/profiles/09c203d5-9c01-4eb1-9c40-1aa8e79d7b76/resume,,,,,,2023-05-17T15:31:14.375Z,2023-05-17T15:31:14.452Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,ON,Already Graduated,,Ms.,https://www.linkedin.com/in/rs506/,"Data science, Deep learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),MSC. in Data Science and Analytics,"Financial Services, Retail, Telecommunications, Transportation","Full Time, Contract","Data Analyst, Data Scientist",Ryerson University,True,True,True,True -ae902188-26c9-4e66-9c68-144ad6b1a544,rachellee7321@gmail.com,Rachel,Lee,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-05-16T22:01:16.602Z,2023-05-16T22:01:16.652Z,False,False,Not Affiliated with Vector,No,Student or Postdoc of a Vector Faculty Member,Ontario,Already Graduated,,Ms.,N/A,"Computer vision, Deep learning, Machine learning",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Engineering Science Machine intelligence,Type of Work is More Important to me than Sector,"Full Time, Contract","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Toronto,True,False,True,True -f752599b-0799-4a7e-9dcb-8c8ed34eeef9,safwat.nabil1@gmail.com,Nabil,Safwat,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/nabil-safwat-b19574170/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/f752599b-0799-4a7e-9dcb-8c8ed34eeef9/resume,,,,,,2023-05-16T20:01:49.298Z,2023-05-16T20:01:49.336Z,False,False,Not Affiliated with Vector,No,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/nabil-safwat-b19574170/,"AI safety, Computer vision, Data science, Deep learning, Few-shot learning, Interpretability, Machine learning, Natural language processing, Reinforcement learning, Self-supervised learning, Statistical learning theory, Time-series forecasting and modelling, Transfer learning, Unsupervised learning, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Entry Level (0-2 Years),Information Systems and Technology,Type of Work is More Important to me than Sector,Full Time,"Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",York University,True,True,True,True -71ab354c-3fcb-4a4c-8ef5-bee28b45ef75,honghaipvu@gmail.com,Vu Hong Hai,Phan,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/vhhphan/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/71ab354c-3fcb-4a4c-8ef5-bee28b45ef75/resume,,,,,linkedin,2023-05-17T18:14:39.630Z,2023-05-17T18:14:40.073Z,True,True,Not Affiliated with Vector,No,Unsure,,Already Graduated,I created this profile in order to apply for a full time position.,Mr.,https://www.linkedin.com/in/vhhphan/,"AI safety, Interpretability, Machine learning",Graduate Degree (Masters),Entry Level (0-2 Years),Computer Science,Technology (Product Development),Full Time,"Data Scientist, Machine Learning Engineer",Other,True,False,True,True -28389fd3-9a96-40a1-89c5-96a945029a1d,iamakshayshetty3@gmail.com,Akshay,Shetty,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/akshaykshetty/,,False,False,,,,,,,2022-09-14T02:51:35.201Z,2023-01-27T00:35:03.222Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Fall 2023 (August - November),,Mr.,https://www.linkedin.com/in/akshaykshetty/,"Computer vision, Deep learning, Machine learning, Meta-learning, Natural language processing",Graduate Degree (Masters),Entry Level (0-2 Years),Masters of Management in Artificial Intelligence,"Professional Services (e.g Consulting), Software, Technology (Product Development)","Full Time, Internship, Co-op","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist",York University,True,True,True,True -0747becb-5870-4614-8095-c1542a643daf,c498chen@uwaterloo.ca,ChinLin,Chen,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/chin-lin-chen/,,True,False,,,,,,,2020-09-04T14:57:51.028Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/chin-lin-chen-6b4204196/,,,,,,,,,,,, -dcb30d73-3ba0-4f53-9a7f-2fb283cf21c6,chinlin880514@gmail.com,Chin-Lin,Chen,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/chin-lin-chen/,,True,False,,,,,,,2022-09-09T12:59:55.130Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/chin-lin-chen/,,,,,,,,,,,, -17684b2c-9aa1-4f39-8de8-db48da01f061,deniz.jafari@mail.utoronto.ca,Deniz,Jafari,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/denizjafari,,True,False,,,,,,,2020-12-21T15:12:29.923Z,,False,False,Connected to Vector Research,Yes,,,,,,https://www.linkedin.com/in/denizjafari,,,,,,,,,,,, -e2a2ac54-2347-49ab-9369-2045b8cbd333,ijavadi@uottawa.ca,Iman,Javadi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/imanjavadi24564,,True,False,,,,,,,2022-08-04T19:14:40.212Z,,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/imanjavadi24564,,,,,,,,,,,, -e59c34d1-1ec3-4292-85ea-169b41093901,h249huan@uwaterloo.ca,Jenny,Huang,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/hq-huang,,True,False,,,,,,,2023-01-18T19:02:58.365Z,2023-01-26T18:47:21.249Z,False,False,Recognized Masters Program,Yes,,,,,,www.linkedin.com/in/hq-huang,,,,,,,,,True,,True,True +6ba45de3-2194-4013-a2cb-3b45c4e216b5,jxw1107@gmail.com,Xiaowei,Jin,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,7786822688,,,,,,True,False,,Toronto,Ontario,,Canada,,2021-05-04T15:06:59.658Z,2021-10-28T14:31:31.124Z,False,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Ms.,https://www.linkedin.com/in/xiaowei-jin/,"AI safety, Data science, Healthcare and/or medical imaging, Machine learning, Time-series forecasting and modelling",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,,"Full Time, Internship","Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True d8a9f96a-890f-4e3c-a59d-073a2a4773ee,justinclaverdure@gmail.com,Justin,Laverdure,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-05-10T20:18:37.422Z,2023-05-10T20:18:37.464Z,False,False,Recognized Masters Program,Yes,Unsure,n/a,Already Graduated,Studies Mathematics at the graduate level,Mr.,N/A,"Data science, Optimization, Statistical learning theory",Graduate Degree (Masters),Mid-Level (3-5 Years),Mathematics,Type of Work is More Important to me than Sector,Full Time,"Data Analyst, Data Engineer, Data Scientist, Software Engineer",University of Waterloo,True,False,True,True 772962eb-ef06-414a-8aa6-d75f2514218f,ozair1996@gmail.com,Ozair,Islam,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Experienced Data Analyst Seeking Data Science Opportunities,,4168391683,,,,https://www.linkedin.com/in/ozair-islam/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/772962eb-ef06-414a-8aa6-d75f2514218f/resume,Toronto,Ontario,,Canada,,2020-10-16T02:17:44.870Z,2022-09-20T02:42:38.461Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Mr.,https://www.linkedin.com/in/ozair-islam/,,Graduate Degree (Masters),Entry Level (0-2 Years),Master of Management Analytics,"Financial Services, Health, Technology (Information and Media), Technology (Product Development)",Full Time,"Data Analyst, Data Scientist, Product/Project Manager",University of Toronto,True,True,True,True 11f380bb-f356-4591-b0d6-e41719022321,21uz@queensu.ca,Umair,Zia,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,https://canadaai.jobboard.io/api/v1/profiles/11f380bb-f356-4591-b0d6-e41719022321/resume,,,,,,2022-08-31T17:18:17.384Z,2022-09-07T00:00:06.796Z,False,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/UmairZia777/,"Game theory, Machine learning, Privacy, anonymity, and/or security",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),BSc Economics,"Construction or Infrastructure, Education, Financial Services, Health, Manufacturing , Public Administration (i.e Gov't), Technology (Information and Media)","Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Product/Project Manager",Queen's University,True,False,True,True @@ -5964,11 +5975,8 @@ c85f35a9-7bf4-4ecc-967a-0d8650e581ca,patelzak22@gmail.com,Zakaria,Patel,https:// fe44ef1f-e3e3-4cd4-9a76-64e05ad67ffb,sulaimanridwan2013@gmail.com,Ridwan,Sulaimon,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,"Highly motivated Machine Learning Engineer/ Data Science professional. Capable of solving technical problems with excellent organizational skills and delivering results under pressure while remaining calm, effective, and prioritizing.",4386868814,,,,,,False,False,https://canadaai.jobboard.io/api/v1/profiles/fe44ef1f-e3e3-4cd4-9a76-64e05ad67ffb/resume,Montreal,Quebec,,Canada,,2022-11-10T15:41:38.781Z,2023-06-05T20:56:26.185Z,True,False,Other Vector Programming,Yes,Other Vector Programming,QC,Spring/Summer 2024 (April - July),ML B & I Program,Mr.,N/A,,Postgraduate Degree (PhD),Mid-Level (3-5 Years),Computational Chemistry,"Education, Health, Manufacturing , Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Other,True,True,True,True 85f535f5-4279-479f-9821-a13594d98212,sdawg084@uottawa.ca,Saket,Dawgotra,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,CO-OP Student at the University of Ottawa looking for summer internship opportunities,,3437777186,,,,https://www.linkedin.com/in/saket-dawgotra/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/85f535f5-4279-479f-9821-a13594d98212/resume,Ottawa,Ontario,,Canada,,2022-09-09T13:00:03.570Z,2023-06-06T17:56:31.391Z,True,True,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2024 (April - July),,Mr.,https://www.linkedin.com/in/saket-dawgotra-b410b514b/,"Anomaly detection, Data science, Machine learning, Transfer learning",Graduate Degree (Masters),Entry Level (0-2 Years),Master of Computer Science and Concentration Applied Artificial Intelligence,Type of Work is More Important to me than Sector,"Full Time, Internship, Co-op, Contract, Capstone Project","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Architect, Data Engineer, Data Scientist, Machine Learning Engineer, Product/Project Manager, Software Engineer",University of Ottawa,True,True,True,True 72eb8ddd-6aae-4bfb-adfd-b938b114ffd2,akshithr08@gmail.com,Akshith,Rajkumar,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/akshith-rajkumar-b0b554191/,,True,False,https://canadaai.jobboard.io/api/v1/profiles/72eb8ddd-6aae-4bfb-adfd-b938b114ffd2/resume,Toronto,Ontario,,Canada,,2023-06-02T20:36:32.885Z,2023-06-02T20:36:32.938Z,False,False,Not Affiliated with Vector,No,Unsure,,Spring/Summer 2024 (April - July),I am interested in pursuing a career in the field of AI and Robotics,Mr.,https://www.linkedin.com/in/akshith-rajkumar-b0b554191/,"Machine learning, Robotics, Wearable technology and/or Internet of Things",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Engineering in Electrical and Computer Engineering,"Software, Technology (Information and Media), Technology (Product Development)","Full Time, Internship","Data Analyst, Data Engineer, Machine Learning Engineer, Software Engineer",University of Toronto,True,True,True,True -6ab8b8b9-333f-49ec-8e35-3f01626f6902,fongchungyan@gmail.com,CY,Fong,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Machine Learning Engineering,,,,https://github.com/cfong32,,https://www.linkedin.com/in/cfong32/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/6ab8b8b9-333f-49ec-8e35-3f01626f6902/resume,Guelph,Ontario,,Canada,linkedin,2022-09-08T02:51:56.884Z,2022-09-21T03:41:13.661Z,True,False,Recognized Masters Program,Yes,Studying in/Graduated from a Recognized Master's Program,,Spring/Summer 2023 (April - July),,Mr.,https://www.linkedin.com/in/cy-fong-44b250223/,"Deep learning, Machine learning, Time-series forecasting and modelling",Graduate Degree (Masters),Mid-Level (3-5 Years),Data Science,"Education, Health, Software, Technology (Product Development), Transportation, Type of Work is More Important to me than Sector",Full Time,"Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Software Engineer",University of Guelph,True,True,True,True -956ae68c-237b-4861-b7ee-8b62f80d94e6,saaketh.raghava@gmail.com,Saaketh,Raghava,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,https://www.linkedin.com/in/saaketh-raghava-a3093a270/,,True,False,,,,,,linkedin,2023-06-17T19:04:17.815Z,2023-06-17T19:04:17.837Z,False,False,,No,,,,,,https://www.linkedin.com/in/saaketh-raghava-a3093a270/,,,,,,,,,True,True,True,True -5daaf48e-411b-4de4-9abc-fe7316126df2,21sd45@queensu.ca,Sayantan,Das,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,https://ucalyptus.me/,,https://linkedin.com/in/ucalyptus,,True,False,https://canadaai.jobboard.io/api/v1/profiles/5daaf48e-411b-4de4-9abc-fe7316126df2/resume,,,,,,2023-06-19T04:02:32.417Z,2023-06-19T04:02:32.455Z,True,True,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,NA,Fall 2023 (August - November),,Mr.,https://linkedin.com/in/ucalyptus,"Adversarial learning, Bioinformatics, Computer vision, Deep learning, Fairness, Few-shot learning, Generative modeling, Healthcare and/or medical imaging, Machine learning, Natural language processing, Optimization, Representation learning, Self-supervised learning, Transfer learning, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Master of Applied Science (Artificial Intelligence),"Software, Technology (Information and Media)","Full Time, Internship, Co-op, Contract, Capstone Project","Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",Queen's University,True,True,True,True -320f41ee-062e-49f1-99ac-61acb5febccb,rozhina.ghanavi@mail.utoronto.ca,Rozhina,Ghanavi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Machine Learning Researcher,,6474583756,,,,https://www.linkedin.com/in/rozhina-ghanavi-2b79478a,_ghnn_,False,False,https://canadaai.jobboard.io/api/v1/profiles/320f41ee-062e-49f1-99ac-61acb5febccb/resume,Toronto,Ontario,,Canada,,2020-08-11T15:11:58.509Z,2023-04-30T18:32:12.370Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Miss.,https://www.linkedin.com/in/rozhina-ghanavi-2b79478a/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Electrical and Computer Engineering,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True -18f2651b-8f65-4ec0-9b7d-acafcd218714,jtemp005@gmail.com,Julian,Templeton,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Senior Data Scientist and Experienced Developer,,,,,,https://www.linkedin.com/in/julian-templeton/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/18f2651b-8f65-4ec0-9b7d-acafcd218714/resume,Ottawa,Ontario,,Canada,,2019-12-02T18:35:36.148Z,2023-06-21T14:14:16.626Z,True,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,Not Found,"Game theory, Machine learning, Privacy, anonymity, and/or security",Graduate Degree (Masters),Senior Level (5+ Years),Master of Computer Science: Concentration in Applied AI,"Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",University of Ottawa,True,True,True,True e3f0f224-991c-43ee-bf4c-3eb336865421,safik.mma@gmail.com,Safiullah,Kamawal,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,,2023-01-18T19:02:59.746Z,2023-01-20T17:58:08.077Z,False,False,Recognized Masters Program,Yes,,,,,,https://www.linkedin.com/in/skamawal,,,,,,,,,True,True,True,True 763d51bc-5f5f-4938-8b41-284a76c57980,amancsdept@gmail.com,Amandeep ,Kaur,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,"I am trained as Data Analyst with four years of experience in analyzing large datasets and providing data-driven insights to drive business decisions. With expertise in data visualization and reporting tools. I have a proven track record of creating meaningful reports and dashboards to communicate complex data insights to stakeholders. I am proficient in SQL, Excel, and other data analysis tools, and have a strong knowledge of statistical methods and data modeling. My excellent communication and interpersonal skills, combined with a strong problem-solving and analytical mindset, make me a valuable asset to any data-driven organization.",4379883044,,,,https://linkedin.com/in/aman-deep-464942146,,False,False,https://canadaai.jobboard.io/api/v1/profiles/763d51bc-5f5f-4938-8b41-284a76c57980/resume,Cambridge,Ontario,,Canada,,2023-04-13T00:54:15.807Z,2023-06-24T11:56:27.478Z,True,True,Other Vector Programming,Yes,Other Vector Programming,,Already Graduated,Caregiver & ML_Spring 2023,Mrs.,https://www.linkedin.com/in/aman-deep-464942146/,"Data science, Deep learning, Machine learning, Natural language processing, Online learning, Optimization, Time-series forecasting and modelling, Unsupervised learning",Graduate Degree (Masters),Mid-Level (3-5 Years),Masters in Computer Applications,"Education, Financial Services, Manufacturing , Retail, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Other ",Other,True,True,True,True -6b125705-f599-4254-8fcf-daa9fdee4f61,zelalemak@gmail.com,Zelalem,Araya,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,"Student - Ecology, Statistics & Data Science","Student at the University of British Columbia studying in the Integrated Sciences program - specializing in Ecology and Statistics, along with a minor in Data Science. Very interested in the intersections between Machine Learning and UX design.",4036679700,,,,https://www.linkedin.com/in/zelalem-araya/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/6b125705-f599-4254-8fcf-daa9fdee4f61/resume,Vancouver,British Columbia,,Canada,,2022-11-02T22:28:47.626Z,2023-06-29T22:19:30.828Z,True,True,Other Vector Programming,Yes,Other Vector Programming,British Columbia,Spring/Summer 2024 (April - July),Machine Learning Course for Black & Indigenous Students,Ms.,https://www.linkedin.com/in/zelalem-araya/,"Computational biology, Data science, Wearable technology and/or Internet of Things",Undergraduate Degree (Bachelors),Entry Level (0-2 Years),Ecology & Statistics,"Professional Services (e.g Consulting), Technology (Information and Media), Technology (Product Development)","Internship, Co-op","Data Architect, Data Scientist, Machine Learning Researcher/Scientist , Product/Project Manager",Other,True,False,True,True +18f2651b-8f65-4ec0-9b7d-acafcd218714,jtemp005@gmail.com,Julian,Templeton,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Senior Data Scientist and Experienced Developer,,,,,,https://www.linkedin.com/in/julian-templeton/,,False,False,https://canadaai.jobboard.io/api/v1/profiles/18f2651b-8f65-4ec0-9b7d-acafcd218714/resume,Ottawa,Ontario,,Canada,,2019-12-02T18:35:36.148Z,2023-06-21T14:14:16.626Z,True,False,Vector Scholarship Recipient,Yes,Vector Scholarship Recipient,,Already Graduated,,Mr.,Not Found,"Game theory, Machine learning, Privacy, anonymity, and/or security",Graduate Degree (Masters),Senior Level (5+ Years),Master of Computer Science: Concentration in Applied AI,"Health, Manufacturing , Professional Services (e.g Consulting), Public Administration (i.e Gov't), Software, Technology (Information and Media), Technology (Product Development), Type of Work is More Important to me than Sector",Full Time,"Data Engineer, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist , Product/Project Manager, Software Engineer, Other ",University of Ottawa,True,True,True,True +320f41ee-062e-49f1-99ac-61acb5febccb,rozhina.ghanavi@mail.utoronto.ca,Rozhina,Ghanavi,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,Machine Learning Researcher,,6474583756,,,,https://www.linkedin.com/in/rozhina-ghanavi-2b79478a,_ghnn_,False,False,https://canadaai.jobboard.io/api/v1/profiles/320f41ee-062e-49f1-99ac-61acb5febccb/resume,Toronto,Ontario,,Canada,,2020-08-11T15:11:58.509Z,2023-04-30T18:32:12.370Z,False,False,Connected to Vector Research,Yes,Studying in/Graduated from a Recognized Master's Program,Ontario,Already Graduated,,Miss.,https://www.linkedin.com/in/rozhina-ghanavi-2b79478a/,,Graduate Degree (Masters),Mid-Level (3-5 Years),Electrical and Computer Engineering,"Financial Services, Health, Professional Services (e.g Consulting), Software, Technology (Information and Media), Technology (Product Development), Telecommunications, Type of Work is More Important to me than Sector","Full Time, Contract","Business Analyst/Business Intelligence Analyst , Data Analyst, Data Scientist, Machine Learning Engineer, Machine Learning Researcher/Scientist ",University of Toronto,True,True,True,True +94e21c4c-2398-4837-a688-13c4570e025d,cyfongj@gmail.com,Julian,Fong,https://talenthub.vectorinstitute.ai/assets/main/profile/fallback/default-fd0c304c559d7575363f1d88c188bb3b44623a2b5db0810c52d1f43bf23aad08.png,,,,,,,,,True,False,,,,,,linkedin,2023-07-09T20:46:49.824Z,2023-07-09T20:46:49.844Z,False,False,Not Affiliated with Vector,No,,,,,,N/A,,,,,,,,,True,True,True,True